From 65e2eb91614841f62e1936f15b8293fb26ed05db Mon Sep 17 00:00:00 2001 From: Vincent Lee Date: Thu, 11 Jun 2026 17:16:19 -0700 Subject: [PATCH] ACTv3 Release --- .github/workflows/ci.yaml | 25 - .github/workflows/install.yml | 34 + .github/workflows/tests.yml | 32 + .gitignore | 2 + LICENSE | 420 +- README.md | 56 +- act.py | 98 + act/act_model.py | 347 - act/boms/dellr740.yaml | 134 - act/core/arg_parser.py | 281 - act/core/battery_model.py | 59 - act/core/bom.py | 225 - act/core/capacitor_model.py | 91 - act/core/common.py | 217 - act/core/dram_model.py | 30 - act/core/hdd_model.py | 45 - act/core/logger.py | 105 - act/core/logic_model.py | 229 - act/core/materials_model.py | 69 - act/core/op_model.py | 58 - act/core/ssd_model.py | 43 - act/core/utils.py | 130 - act/models/logic/imec-netzero-cpa.yaml | 8 - act/models/materials/materials.yaml | 7 - act/models/ssd/ssd_hynix.yaml | 6 - act/models/ssd/ssd_seagate.yaml | 4 - act/tests/act_model_tests.py | 100 - act/tests/base_test_case.py | 44 - act/tests/basic_tests.py | 122 - act/tests/integration_tests.py | 79 - act/tests/model_coverage_tests.py | 82 - act/tests/model_unit_tests.py | 175 - assets/README.md | 29 + assets/full_scale_factors.csv | 17 + assets/sparse_scaling_data.csv | 19 + {act/boms => boms/samples}/fairphone3.yaml | 6 +- boms/samples/manual.xlsx | Bin 0 -> 12784 bytes boms/server/dellr740/asics.yaml | 54 + boms/server/dellr740/cpu.yaml | 9 + boms/server/dellr740/dram.yaml | 7 + boms/server/dellr740/secondary_dram.yaml | 8 + boms/server/dellr740/secondary_ssd.yaml | 8 + boms/server/dellr740/ssd.yaml | 7 + boms/server/dellr740/top.yaml | 109 + boms/server/mtia/README.md | 4 + boms/server/mtia/cpu.yaml | 17 + boms/server/mtia/mtia.yaml | 10 + boms/server/mtia/mtia2.yaml | 10 + boms/server/mtia/mtia2i.yaml | 47 + boms/tests/bot.yaml | 16 + boms/tests/built.yaml | 27 + boms/tests/cost_params_test.yaml | 11 + boms/tests/cost_test.yaml | 16 + boms/tests/emb_op_devices.yaml | 13 + boms/tests/empty.yaml | 2 + boms/tests/failing/incomplete_device.yaml | 7 + boms/tests/imec_logic.yaml | 15 + {act/boms => boms/tests}/imported.yaml | 16 +- boms/tests/macros.yaml | 10 + boms/tests/manual.yaml | 48 + boms/tests/mid.yaml | 18 + boms/tests/op_params.yaml | 17 + boms/tests/op_power.yaml | 10 + boms/tests/parameters.yaml | 13 + boms/tests/power_scaling.yaml | 18 + boms/tests/process_rounding.yaml | 33 + boms/tests/tech_scaling.yaml | 55 + {act/boms => boms/tests}/test.yaml | 31 +- boms/tests/test_sheet.xlsx | Bin 0 -> 14015 bytes boms/tests/top.yaml | 18 + ci_script.sh | 2 +- configs/ci_scaling/sample.yaml | 24 + configs/supply_chain/onshore.yaml | 15 + configs/supply_chain/sample.yaml | 21 + configs/tech_scaling/manual.yaml | 26 + configs/tech_scaling/power_scaling_test.yaml | 13 + configs/tech_scaling/sample.yaml | 24 + configs/tech_scaling/tech_scaling_test.yaml | 17 + core/__init__.py | 0 core/act_model.py | 360 ++ core/act_result.py | 257 + core/bom.py | 115 + {act/core => core}/carbon.py | 141 +- core/common.py | 72 + core/device_data.py | 258 + core/dse/__init__.py | 0 core/dse/dse_manager.py | 248 + core/gui/__init__.py | 0 core/gui/act_dashboard.py | 290 + core/gui/assets/html/bootstrap.min.css | 7 + core/gui/assets/html/bootstrap.min.js | 7 + core/gui/assets/html/index.html | 93 + core/gui/assets/html/jquery-3.6.0.min.js | 2 + core/gui/assets/html/plotly.min.js | 8 + core/gui/card.py | 168 + core/gui/cards/__init__.py | 0 core/gui/cards/bill_of_materials_card.py | 69 + core/gui/cards/carbon_card.py | 103 + core/gui/cards/cost_card.py | 88 + core/gui/cards/delta_cost_card.py | 104 + core/gui/cards/delta_overview_card.py | 104 + core/gui/cards/dse_card.py | 85 + core/gui/cards/scalability_card.py | 46 + core/gui/cards/sim_info_card.py | 61 + core/gui/cards/supply_chain_card.py | 62 + core/gui/delta_dashboard.py | 270 + core/gui/plots/__init__.py | 0 core/gui/plots/base_act_plot.py | 265 + core/gui/plots/base_plot.py | 153 + core/gui/plots/base_table.py | 97 + core/gui/plots/bom_table.py | 87 + core/gui/plots/carbon_by_device_table.py | 79 + core/gui/plots/category_carbon_plot.py | 176 + core/gui/plots/category_cost_plot.py | 76 + core/gui/plots/cost_table.py | 67 + core/gui/plots/cost_type_plot.py | 123 + core/gui/plots/delta_carbon_barchart.py | 328 + core/gui/plots/delta_carbon_table.py | 189 + core/gui/plots/delta_cost_barchart.py | 332 + core/gui/plots/delta_cost_table.py | 187 + core/gui/plots/device_table.py | 159 + core/gui/plots/model_configs_table.py | 80 + core/gui/plots/op_carbon_table.py | 63 + core/gui/plots/scaling_plots.py | 219 + core/gui/plots/scaling_table.py | 100 + core/gui/plots/sim_info_table.py | 92 + core/gui/plots/source_plot.py | 148 + core/gui/plots/subsystem_carbon_plot.py | 177 + core/gui/plots/subsystem_cost_plot.py | 169 + core/gui/plots/supply_chain_table.py | 56 + core/gui/style.py | 155 + core/gui/tabs.py | 133 + core/metrics/__init__.py | 0 core/metrics/base_metric.py | 43 + core/metrics/carbon_delay_product.py | 33 + core/metrics/carbon_energy_product.py | 37 + core/metrics/carbon_energy_squared_product.py | 37 + core/metrics/carbon_squared_energy_product.py | 37 + core/metrics/cost_analyzer.py | 166 + core/metrics/metric_analyzer.py | 44 + core/models/__init__.py | 0 core/models/ap_model.py | 71 + core/models/base_logic_model.py | 115 + core/models/base_model.py | 77 + core/models/battery_model.py | 78 + core/models/capacitor_model.py | 73 + core/models/ci_model.py | 234 + core/models/dram_model.py | 35 + core/models/hdd_model.py | 42 + core/models/imec_logic_model.py | 55 + core/models/logic_model.py | 198 + core/models/manual_model.py | 20 + core/models/materials_model.py | 80 + core/models/op_model.py | 74 + {act/core => core/models}/pcb_model.py | 58 +- core/models/ssd_model.py | 41 + {act/core => core/models}/storage_model.py | 63 +- core/processes.py | 204 + core/scaling/__init__.py | 0 core/scaling/apply_ci_scaling.py | 57 + core/scaling/power_scaling_model.py | 98 + core/scaling/scaling_config.py | 68 + core/scaling/tech_scaling_manager.py | 171 + core/utils/__init__.py | 0 core/utils/arg_parser.py | 187 + core/utils/import_utils.py | 51 + core/utils/load_yaml_with_macros.py | 361 ++ core/utils/logger.py | 97 + core/utils/spreadsheet.py | 168 + {act/core => core/utils}/units.py | 48 +- core/utils/utils.py | 110 + core/utils/yield_utils.py | 88 + models/battery/battery.yaml | 17 + models/carbon_intensity/ember/README.md | 7 + .../ember/carbon-intensity-electricity.csv | 5738 +++++++++++++++++ .../carbon_intensity/location.yaml | 0 .../carbon_intensity/location_2022.yaml | 8 +- .../carbon_intensity/location_2023.yaml | 8 +- .../carbon_intensity/source.yaml | 6 + {act/models => models}/dram/dram_hynix.yaml | 6 + {act/models => models}/hdd/hdd_consumer.yaml | 6 + .../models => models}/hdd/hdd_enterprise.yaml | 6 + {act/models => models}/logic/README.md | 0 models/logic/ap_model.yaml | 11 + {act/models => models}/logic/epa.yaml | 6 + {act/models => models}/logic/gpa_95.yaml | 6 + {act/models => models}/logic/gpa_99.yaml | 6 + models/logic/imec-netzero-cpa.yaml | 10 + {act/models => models}/logic/materials.yaml | 6 + models/materials/materials.yaml | 13 + {act/models => models}/materials/pcb.yaml | 6 + .../passives/capacitors.yaml | 6 + models/ssd/ssd_hynix.yaml | 12 + models/ssd/ssd_seagate.yaml | 10 + {act/models => models}/ssd/ssd_western.yaml | 6 + pyproject.toml | 106 + scripts/.gitignore | 5 + scripts/__init__.py | 0 scripts/power_factors.py | 136 + scripts/r740_supply_chain_dse.py | 252 + setup.sh | 6 +- tests/__init__.py | 0 tests/act_model_tests.py | 117 + tests/analysis_tests.py | 39 + tests/asset_tests.py | 111 + tests/base_test_case.py | 56 + tests/basic_tests.py | 182 + tests/bom_coverage_test.py | 73 + tests/bom_tests.py | 233 + tests/carbon_tests.py | 172 + tests/cost_analysis_test.py | 81 + tests/delta_plot_tests.py | 150 + tests/delta_tests.py | 243 + tests/dse_tests.py | 35 + tests/gui_tests.py | 95 + tests/model_coverage_tests.py | 117 + tests/model_unit_tests.py | 336 + tests/process_rounding_tests.py | 105 + tests/scaling_config_tests.py | 53 + tests/supply_chain_tests.py | 54 + tests/tech_scaling_tests.py | 270 + tests/test_apply_ci_scaling.py | 148 + tests/test_dellr740.py | 259 + tests/use_case_tests.py | 62 + {act/tests => tests}/utils_tests.py | 24 +- tools/.gitignore | 3 + tools/__init__.py | 0 tools/delta.py | 303 + 228 files changed, 21212 insertions(+), 2915 deletions(-) delete mode 100644 .github/workflows/ci.yaml create mode 100644 .github/workflows/install.yml create mode 100644 .github/workflows/tests.yml create mode 100644 act.py delete mode 100644 act/act_model.py delete mode 100644 act/boms/dellr740.yaml delete mode 100644 act/core/arg_parser.py delete mode 100644 act/core/battery_model.py delete mode 100644 act/core/bom.py delete mode 100644 act/core/capacitor_model.py delete mode 100644 act/core/common.py delete mode 100644 act/core/dram_model.py delete mode 100644 act/core/hdd_model.py delete mode 100644 act/core/logger.py delete mode 100644 act/core/logic_model.py delete mode 100644 act/core/materials_model.py delete mode 100644 act/core/op_model.py delete mode 100644 act/core/ssd_model.py delete mode 100644 act/core/utils.py delete mode 100644 act/models/logic/imec-netzero-cpa.yaml delete mode 100644 act/models/materials/materials.yaml delete mode 100644 act/models/ssd/ssd_hynix.yaml delete mode 100644 act/models/ssd/ssd_seagate.yaml delete mode 100644 act/tests/act_model_tests.py delete mode 100644 act/tests/base_test_case.py delete mode 100644 act/tests/basic_tests.py delete mode 100644 act/tests/integration_tests.py delete mode 100644 act/tests/model_coverage_tests.py delete mode 100644 act/tests/model_unit_tests.py create mode 100644 assets/README.md create mode 100644 assets/full_scale_factors.csv create mode 100644 assets/sparse_scaling_data.csv rename {act/boms => boms/samples}/fairphone3.yaml (97%) create mode 100644 boms/samples/manual.xlsx create mode 100644 boms/server/dellr740/asics.yaml create mode 100644 boms/server/dellr740/cpu.yaml create mode 100644 boms/server/dellr740/dram.yaml create mode 100644 boms/server/dellr740/secondary_dram.yaml create mode 100644 boms/server/dellr740/secondary_ssd.yaml create mode 100644 boms/server/dellr740/ssd.yaml create mode 100644 boms/server/dellr740/top.yaml create mode 100644 boms/server/mtia/README.md create mode 100644 boms/server/mtia/cpu.yaml create mode 100644 boms/server/mtia/mtia.yaml create mode 100644 boms/server/mtia/mtia2.yaml create mode 100644 boms/server/mtia/mtia2i.yaml create mode 100644 boms/tests/bot.yaml create mode 100644 boms/tests/built.yaml create mode 100644 boms/tests/cost_params_test.yaml create mode 100644 boms/tests/cost_test.yaml create mode 100644 boms/tests/emb_op_devices.yaml create mode 100644 boms/tests/empty.yaml create mode 100644 boms/tests/failing/incomplete_device.yaml create mode 100644 boms/tests/imec_logic.yaml rename {act/boms => boms/tests}/imported.yaml (69%) create mode 100644 boms/tests/macros.yaml create mode 100644 boms/tests/manual.yaml create mode 100644 boms/tests/mid.yaml create mode 100644 boms/tests/op_params.yaml create mode 100644 boms/tests/op_power.yaml create mode 100644 boms/tests/parameters.yaml create mode 100644 boms/tests/power_scaling.yaml create mode 100644 boms/tests/process_rounding.yaml create mode 100644 boms/tests/tech_scaling.yaml rename {act/boms => boms/tests}/test.yaml (67%) create mode 100644 boms/tests/test_sheet.xlsx create mode 100644 boms/tests/top.yaml create mode 100644 configs/ci_scaling/sample.yaml create mode 100644 configs/supply_chain/onshore.yaml create mode 100644 configs/supply_chain/sample.yaml create mode 100644 configs/tech_scaling/manual.yaml create mode 100644 configs/tech_scaling/power_scaling_test.yaml create mode 100644 configs/tech_scaling/sample.yaml create mode 100644 configs/tech_scaling/tech_scaling_test.yaml create mode 100644 core/__init__.py create mode 100644 core/act_model.py create mode 100644 core/act_result.py create mode 100644 core/bom.py rename {act/core => core}/carbon.py (55%) create mode 100644 core/common.py create mode 100644 core/device_data.py create mode 100644 core/dse/__init__.py create mode 100644 core/dse/dse_manager.py create mode 100644 core/gui/__init__.py create mode 100644 core/gui/act_dashboard.py create mode 100644 core/gui/assets/html/bootstrap.min.css create mode 100644 core/gui/assets/html/bootstrap.min.js create mode 100644 core/gui/assets/html/index.html create mode 100644 core/gui/assets/html/jquery-3.6.0.min.js create mode 100644 core/gui/assets/html/plotly.min.js create mode 100644 core/gui/card.py create mode 100644 core/gui/cards/__init__.py create mode 100644 core/gui/cards/bill_of_materials_card.py create mode 100644 core/gui/cards/carbon_card.py create mode 100644 core/gui/cards/cost_card.py create mode 100644 core/gui/cards/delta_cost_card.py create mode 100644 core/gui/cards/delta_overview_card.py create mode 100644 core/gui/cards/dse_card.py create mode 100644 core/gui/cards/scalability_card.py create mode 100644 core/gui/cards/sim_info_card.py create mode 100644 core/gui/cards/supply_chain_card.py create mode 100644 core/gui/delta_dashboard.py create mode 100644 core/gui/plots/__init__.py create mode 100644 core/gui/plots/base_act_plot.py create mode 100644 core/gui/plots/base_plot.py create mode 100644 core/gui/plots/base_table.py create mode 100644 core/gui/plots/bom_table.py create mode 100644 core/gui/plots/carbon_by_device_table.py create mode 100644 core/gui/plots/category_carbon_plot.py create mode 100644 core/gui/plots/category_cost_plot.py create mode 100644 core/gui/plots/cost_table.py create mode 100644 core/gui/plots/cost_type_plot.py create mode 100644 core/gui/plots/delta_carbon_barchart.py create mode 100644 core/gui/plots/delta_carbon_table.py create mode 100644 core/gui/plots/delta_cost_barchart.py create mode 100644 core/gui/plots/delta_cost_table.py create mode 100644 core/gui/plots/device_table.py create mode 100644 core/gui/plots/model_configs_table.py create mode 100644 core/gui/plots/op_carbon_table.py create mode 100644 core/gui/plots/scaling_plots.py create mode 100644 core/gui/plots/scaling_table.py create mode 100644 core/gui/plots/sim_info_table.py create mode 100644 core/gui/plots/source_plot.py create mode 100644 core/gui/plots/subsystem_carbon_plot.py create mode 100644 core/gui/plots/subsystem_cost_plot.py create mode 100644 core/gui/plots/supply_chain_table.py create mode 100644 core/gui/style.py create mode 100644 core/gui/tabs.py create mode 100644 core/metrics/__init__.py create mode 100644 core/metrics/base_metric.py create mode 100644 core/metrics/carbon_delay_product.py create mode 100644 core/metrics/carbon_energy_product.py create mode 100644 core/metrics/carbon_energy_squared_product.py create mode 100644 core/metrics/carbon_squared_energy_product.py create mode 100644 core/metrics/cost_analyzer.py create mode 100644 core/metrics/metric_analyzer.py create mode 100644 core/models/__init__.py create mode 100644 core/models/ap_model.py create mode 100644 core/models/base_logic_model.py create mode 100644 core/models/base_model.py create mode 100644 core/models/battery_model.py create mode 100644 core/models/capacitor_model.py create mode 100644 core/models/ci_model.py create mode 100644 core/models/dram_model.py create mode 100644 core/models/hdd_model.py create mode 100644 core/models/imec_logic_model.py create mode 100644 core/models/logic_model.py create mode 100644 core/models/manual_model.py create mode 100644 core/models/materials_model.py create mode 100644 core/models/op_model.py rename {act/core => core/models}/pcb_model.py (54%) create mode 100644 core/models/ssd_model.py rename {act/core => core/models}/storage_model.py (66%) create mode 100644 core/processes.py create mode 100644 core/scaling/__init__.py create mode 100644 core/scaling/apply_ci_scaling.py create mode 100644 core/scaling/power_scaling_model.py create mode 100644 core/scaling/scaling_config.py create mode 100644 core/scaling/tech_scaling_manager.py create mode 100644 core/utils/__init__.py create mode 100644 core/utils/arg_parser.py create mode 100644 core/utils/import_utils.py create mode 100644 core/utils/load_yaml_with_macros.py create mode 100644 core/utils/logger.py create mode 100644 core/utils/spreadsheet.py rename {act/core => core/utils}/units.py (77%) create mode 100644 core/utils/utils.py create mode 100644 core/utils/yield_utils.py create mode 100644 models/battery/battery.yaml create mode 100644 models/carbon_intensity/ember/README.md create mode 100644 models/carbon_intensity/ember/carbon-intensity-electricity.csv rename {act/models => models}/carbon_intensity/location.yaml (100%) rename {act/models => models}/carbon_intensity/location_2022.yaml (57%) rename {act/models => models}/carbon_intensity/location_2023.yaml (55%) rename {act/models => models}/carbon_intensity/source.yaml (57%) rename {act/models => models}/dram/dram_hynix.yaml (57%) rename {act/models => models}/hdd/hdd_consumer.yaml (64%) rename {act/models => models}/hdd/hdd_enterprise.yaml (52%) rename {act/models => models}/logic/README.md (100%) create mode 100644 models/logic/ap_model.yaml rename {act/models => models}/logic/epa.yaml (56%) rename {act/models => models}/logic/gpa_95.yaml (51%) rename {act/models => models}/logic/gpa_99.yaml (51%) create mode 100644 models/logic/imec-netzero-cpa.yaml rename {act/models => models}/logic/materials.yaml (53%) create mode 100644 models/materials/materials.yaml rename {act/models => models}/materials/pcb.yaml (79%) rename {act/models => models}/passives/capacitors.yaml (72%) create mode 100644 models/ssd/ssd_hynix.yaml create mode 100644 models/ssd/ssd_seagate.yaml rename {act/models => models}/ssd/ssd_western.yaml (50%) create mode 100644 pyproject.toml create mode 100644 scripts/.gitignore create mode 100644 scripts/__init__.py create mode 100644 scripts/power_factors.py create mode 100644 scripts/r740_supply_chain_dse.py create mode 100644 tests/__init__.py create mode 100644 tests/act_model_tests.py create mode 100644 tests/analysis_tests.py create mode 100644 tests/asset_tests.py create mode 100644 tests/base_test_case.py create mode 100644 tests/basic_tests.py create mode 100644 tests/bom_coverage_test.py create mode 100644 tests/bom_tests.py create mode 100644 tests/carbon_tests.py create mode 100644 tests/cost_analysis_test.py create mode 100644 tests/delta_plot_tests.py create mode 100644 tests/delta_tests.py create mode 100644 tests/dse_tests.py create mode 100644 tests/gui_tests.py create mode 100644 tests/model_coverage_tests.py create mode 100644 tests/model_unit_tests.py create mode 100644 tests/process_rounding_tests.py create mode 100644 tests/scaling_config_tests.py create mode 100644 tests/supply_chain_tests.py create mode 100644 tests/tech_scaling_tests.py create mode 100644 tests/test_apply_ci_scaling.py create mode 100644 tests/test_dellr740.py create mode 100644 tests/use_case_tests.py rename {act/tests => tests}/utils_tests.py (56%) create mode 100644 tools/.gitignore create mode 100644 tools/__init__.py create mode 100644 tools/delta.py diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml deleted file mode 100644 index bded9b1..0000000 --- a/.github/workflows/ci.yaml +++ /dev/null @@ -1,25 +0,0 @@ -name: ACT v2 CI configuration -on: - push: - branches: - - main -jobs: - build-and-test: - strategy: - matrix: - os: [ubuntu-latest] - python-version: ['3.12.9'] - runs-on: ${{ matrix.os }} - steps: - - name: Checkout code - uses: actions/checkout@v2 - - name: Set up Python - uses: actions/setup-python@v2 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - pip install pyyaml pint - - name: Run CI script - run: | - ./ci_script.sh \ No newline at end of file diff --git a/.github/workflows/install.yml b/.github/workflows/install.yml new file mode 100644 index 0000000..8b0d468 --- /dev/null +++ b/.github/workflows/install.yml @@ -0,0 +1,34 @@ +name: Install & Import + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + install: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.10", "3.11", "3.12"] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install package + run: pip install . + + - name: Verify import + # Run outside the repo root: the checkout contains act.py, which would + # shadow the installed `act` package when cwd is on sys.path. + working-directory: ${{ runner.temp }} + run: python -c "import act; print(f'ACT imported successfully from {act.__file__}')" + + - name: Verify CLI entry point + run: act --help diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml new file mode 100644 index 0000000..daaa6a3 --- /dev/null +++ b/.github/workflows/tests.yml @@ -0,0 +1,32 @@ +name: Regression Tests + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + test: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.10", "3.11", "3.12"] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install package with test dependencies + run: pip install ".[test]" pytest + + - name: Run regression tests + # Run outside the repo root and against the installed package: the + # checkout contains act.py, which would shadow the installed `act` + # package when cwd is on sys.path. + working-directory: ${{ runner.temp }} + run: python -m pytest --pyargs act.tests -v --tb=short diff --git a/.gitignore b/.gitignore index 3ac2df0..5216686 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,5 @@ __pycache__ *.swp *.swo +*.egg-info/ +latest_act_out \ No newline at end of file diff --git a/LICENSE b/LICENSE index 0eb714d..d1bbe80 100644 --- a/LICENSE +++ b/LICENSE @@ -1,22 +1,400 @@ -MIT License - -Copyright (c) Meta Platforms, Inc. and affiliates. - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. +Attribution-NonCommercial 4.0 International + +======================================================================= + +Creative Commons Corporation ("Creative Commons") is not a law firm and +does not provide legal services or legal advice. Distribution of +Creative Commons public licenses does not create a lawyer-client or +other relationship. Creative Commons makes its licenses and related +information available on an "as-is" basis. Creative Commons gives no +warranties regarding its licenses, any material licensed under their +terms and conditions, or any related information. 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-README Last Updated: 2/17/2025 +Version: 3.0
+README Last Updated: 05/04/2026 + ACT is an carbon modeling tool to enable carbon-aware design space exploration. ACT comprises an analytical, architectural carbon-footprint model and use-case dependent optimization metrics to estimate the carbon footprint of hardware. @@ -12,22 +13,28 @@ If you use ACT for your research, please consider contributing the resulting sys ## Quick Start -To get started, first clone [ACT](https://github.com/facebookresearch/ACT) and make sure you have the following third-party Python dependencies: -* [pint](https://pint.readthedocs.io/en/stable/) - `pip install pint` -* [pyyaml](https://pypi.org/project/PyYAML/) - `pip install pyyaml` -* Make sure you have Python 3.12.9 -ACT can be used either as a standalone binary or an API where you can program your codebase and use cases against. -The code is built on `Python 3.12.9`. +To get started, first clone [ACT](https://github.com/facebookresearch/ACT) and install: + +```bash +pip install -e . +``` + +ACT requires Python 3.12+ and can be used either as a standalone command line tool or as a Python API. ### Command Line -To use ACT as a standalone binary tool: +```bash +# Run with a sample server configuration +python -m act.act -m boms/server/dellr740/top.yaml -1. Go to the ACT root directory -2. From the command line, run `act_model.py -m boms/dellr740.yaml` which should run an existing specification for the Dell power edge server -3. This should export the results to a report yaml file where you can inspect the results +# Run with operational power and lifetime +python -m act.act -m boms/server/dellr740/top.yaml --op-power "500 W" --life-cycle "3 year" -For the full list of command line arguments, use `python -m act.act_model --help`. +# Run with design space exploration +python -m act.act -m boms/server/dellr740/top.yaml --dse +``` + +For the full list of command line arguments, use `python -m act.act --help`. ### Python API @@ -93,25 +100,8 @@ materials: ``` You can either write your own similar bill of materials or start from one of the existing bill of materials in the `boms` directory. -Once you have your bill of materials specification, you can run it with ACT using `python -m act.act_model -m `. -For instance, `python -m act.act_model -m act/boms/dellr740.yaml` will run one of the stock Dell R740 models. - -## Codebase Structure - -The top level binary is ACTModel.py which orchestrates the calculations across the underlying embodied architectural carbon model for logic, memory, storage, etc. - -ACT currently supports the following models: -* `logic_model.py`: Application processor and digital logic embodied carbon model -* `dram_model.py`: DRAM embodied carbon capacity-based models -* `ssd_model.py`: SSD embodied carbon capacity-based models -* `hdd_model.py`: HDD embodied carbon capacity-based models -* `op_model.py`: Operational emissions model -* `cap_model.py`: Capacitor manufacturing embodied carbon model -* `materials_model.py`: Frame and enclosure materials embodied carbon model -* `pcb_model.py`: Printed circuit board area-based embodied carbon model -* `battery_model.py`: Battery capacity-based embodied carbon model - -Data for the architectural carbon model draw from sustainability literature and industry sources (additional information can be found in [our paper](https://dl.acm.org/doi/10.1145/3470496.3527408), see details below). +Once you have your bill of materials specification, you can run it with ACT using `python -m act.act -m `. +For instance, `python -m act.act -m boms/server/dellr740/top.yaml` will run one of the stock Dell R740 models. ## Carbon Footprint Modeling Details @@ -193,4 +183,4 @@ series = {ISCA '22} ``` # License -ACT is MIT licensed, as found in the LICENSE file. +ACT is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, as found in the LICENSE file. diff --git a/act.py b/act.py new file mode 100644 index 0000000..297db9d --- /dev/null +++ b/act.py @@ -0,0 +1,98 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import logging +import sys + +from act.core.act_model import ACTModel +from act.core.bom import BOM, YAML_EXTENSION +from act.core.dse.dse_manager import DSEManager +from act.core.utils.arg_parser import get_clean_args, get_parser +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros, parse_macros +from act.core.utils.logger import log, setup_logger +from act.core.utils.spreadsheet import Spreadsheet, XLSX_EXTENSION + +SYMLINK_PATH = "latest_act_out" + + +def resolve_and_load_bom(args, cl_macros: dict): + # if a bill of materials file is specified, use that instead of the cl arg values + if args.materials is not None: + if args.materials.endswith(YAML_EXTENSION): + bom = BOM( + **load_yaml_with_macros(args.materials, cl_macros=cl_macros), + file=args.materials, + ) + elif args.materials.endswith(XLSX_EXTENSION): + spreadsheet = Spreadsheet(filepath=args.materials) + bom = spreadsheet.import_bom() + else: + log.critical( + f"Unrecognized file extension {args.materials}. Unable to load bill of materials from file. Exiting." + ) + exit(-1) + else: + bom = None + return bom + + +def main(upload_fn=None): + # parse arguments and sanitize them + parser = get_parser() + args = parser.parse_args() + + # export the template spreadsheet and exit + if args.export_template is not None: + spreadsheet = Spreadsheet(args.export_template) + spreadsheet.export_template() + + log.info(f"Template bill of materials exported to: {args.export_template}.") + return None, None + + # setup logging and telemetry + loglevel = getattr(logging, args.loglevel.upper()) + setup_logger(loglevel=loglevel) + + # extract any macros specified at command line + macro_clauses = args.macros + cl_macros = parse_macros(macro_clauses) + + model_args, query_args = get_clean_args(args) + + log.info("ACT model args: " + " ".join(sys.argv)) + + # initialize the model + model = ACTModel(**model_args) + + bom = resolve_and_load_bom(args, cl_macros) + query_args.update(bom=bom) + + # query the model for the carbon estimate + carbon = model.get_carbon(**query_args) + log.info(f"Total carbon for this system configuration: {carbon.total()}") + + # if the design space exploration analysis is specified run and add to the dashboard assets + if args.dse: + dse_manager = DSEManager( + bom, base_act=model, model_args=model_args, query_args=query_args + ) + dse_manager.run() + dse_cards = dse_manager.get_dse_cards() + else: + dse_manager = None + dse_cards = None + + # renders and uploads the dashboard + if not args.no_dashboard: + model.generate_dashboard(extra_cards=dse_cards, upload_fn=upload_fn) + + log.info("ACT done executing...") + + return model, dse_manager + + +if __name__ == "__main__": + main() diff --git a/act/act_model.py b/act/act_model.py deleted file mode 100644 index f1e92d1..0000000 --- a/act/act_model.py +++ /dev/null @@ -1,347 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import datetime -import logging -import os -import sys -import tempfile - -import pint -import yaml -from .core.units import * - -from .core.arg_parser import get_clean_args, get_parser -from .core.common import * - -from .core.capacitor_model import CapacitorModel, DEFAULT_CP_CONFIG -from .core.carbon import Carbon, SourceType - -from .core.dram_model import DEFAULT_DRAM_CONFIG, DRAMModel -from .core.hdd_model import DEFAULT_HDD_CONFIG, HDDModel - -from .core.logger import log, setup_logger -from .core.logic_model import LogicModel -from .core.materials_model import DEFAULT_MATERIALS_CONFIG, MaterialsModel -from .core.op_model import OpModel -from .core.ssd_model import SSDModel -from .core.bom import * -from .core.battery_model import BatteryModel -from .core.pcb_model import DEFAULT_PCB_MODEL_FILE, PCBModel -from .core.utils import DEFAULT_LOCATION_CONFIG, DEFAULT_SOURCE_CONFIG - - -class ACTModel: - def __init__( - self, - out_dir: str = None, - weight_unit=kg, - cap_config=DEFAULT_CP_CONFIG, - dram_config=DEFAULT_DRAM_CONFIG, - hdd_config=DEFAULT_HDD_CONFIG, - materials_config=DEFAULT_MATERIALS_CONFIG, - pcb_config=DEFAULT_PCB_MODEL_FILE, - loc_ci_config=DEFAULT_LOCATION_CONFIG, - src_ci_config=DEFAULT_SOURCE_CONFIG, - ): - """ACT Model object - - Args: - out_dir: Output directory for results - weight_unit: The unit of weight to normalize results to for reporting - cap_config: Capacitor model configuration file - dram_config: DRAM model configuration file - hdd_config: HDD model configuration file - pcb_config: PCB model configuration file - materials_config: Material model configuration file - loc_ci_config: Location carbon intensity configuration file - src_ci_config: Energy source carbon intensity configuration file - - """ - - self.weight_unit = weight_unit - - if out_dir is None: - self.out_dir = tempfile.TemporaryDirectory(prefix="act_out_").name - else: - self.out_dir = out_dir - - if not os.path.exists(self.out_dir): - os.makedirs(self.out_dir, exist_ok=True) - - # load the models for each type of device - self.logic_model = LogicModel() - self.dram_model = DRAMModel(model_file=dram_config) - self.ssd_model = SSDModel() - self.hdd_model = HDDModel(model_files=hdd_config) - self.op_model = OpModel( - loc_ci_config=loc_ci_config, src_ci_config=src_ci_config - ) - self.cap_model = CapacitorModel(model_file=cap_config) - self.materials_model = MaterialsModel(model_file=materials_config) - self.pcb_model = PCBModel(model_file=pcb_config) - self.battery_model = BatteryModel() - - # save the last settings - self.last_op_power = None - self.last_op_ci = None - self.last_duty_cycle = None - self.last_hw_lifetime = None - self.last_bom = None - - # results attributes - self.silicon_results = dict() - self.passives_results = dict() - self.materials_results = dict() - - def get_carbon( - self, - bom: dict, - op_power: pint.Quantity, - op_ci=EnergyLocation.USA, - duty_cycle: float = 1.0, - hw_lifetime=2 * year, - export_file=None, - ): - """Calculate the aggregate carbon cost for this configuration - - Args: - bom: Bill of materials data structure specifying the component lists and parameters - op_power: Operating power of the device - op_ci: Operational carbon intensity setting - duty_cycle: Device utilization rate between 0 and 1 - hw_lifetime: Expected hardware life cycle - export_file: Output file for results - """ - - self.last_op_power = op_power - self.last_op_ci = op_ci - self.last_duty_cycle = duty_cycle - self.last_hw_lifetime = hw_lifetime - self.last_bom = bom - - self.silicon_results = self.silicon_analysis(bom.silicon) - self.passives_results = self.passives_analysis(bom.passives) - self.materials_results = self.materials_analysis(bom.materials) - - op_carbon = self.op_model.get_carbon( - lifetime=hw_lifetime, duty_cycle=duty_cycle, op_power=op_power, op_ci=op_ci - ) - - total_carbon = ( - sum( - [ - *self.silicon_results.values(), - *self.passives_results.values(), - *self.materials_results.values(), - ] - ) - + op_carbon - ) - - # export the result to report for auditing - if export_file is None: - export_file = f"{self.out_dir}/act_report.yaml" - self.export_results(export_file, total_carbon) - - return total_carbon - - def silicon_analysis(self, silicon): - # for each device, run the carbon modeling analysis - silicon_results = dict() - - # for each silicon item in the list, query the manufacturing cost - for sname, silicon_data in silicon.items(): - mtype = silicon_data.model - fab_yield = silicon_data.fab_yield - n_ics = silicon_data.n_ics - gpa = silicon_data.gpa - fab_ci = silicon_data.fab_ci - - # calculate the carbon emissions for silicon devices - if mtype is ModelType.LOGIC: - si_carbon = self.logic_model.get_carbon( - logic_process=silicon_data.process, - area=silicon_data.area, - fab_yield=fab_yield, - n_ics=n_ics, - gpa=gpa, - fab_ci=fab_ci, - ) - elif mtype is ModelType.DRAM: - si_carbon = self.dram_model.get_carbon( - capacity=silicon_data.capacity, - process=silicon_data.process, - fab_yield=fab_yield, - n_ics=n_ics, - ) - elif mtype is ModelType.FLASH: - si_carbon = self.ssd_model.get_carbon( - capacity=silicon_data.capacity, - process=silicon_data.process, - fab_yield=fab_yield, - n_ics=n_ics, - ) - elif mtype is ModelType.HDD: - si_carbon = self.hdd_model.get_carbon( - capacity=silicon_data.capacity, - process=silicon_data.process, - fab_yield=fab_yield, - n_ics=n_ics, - ) - elif mtype is ModelType.MANUAL: - si_carbon = Carbon( - silicon_data.carbon / fab_yield, silicon_data.ctype - ) + Carbon( - n_ics * CARBON_PER_IC_PACKAGE / fab_yield, SourceType.PACKAGING - ) - else: - raise NotImplementedError( - f"Silicon model type for {mtype} not implemented. Unable to calculate cost." - ) - - # update the results with the aggregate total - silicon_results[sname] = si_carbon - - return silicon_results - - def passives_analysis(self, passives): - passives_results = dict() - for pname, pspec in passives.items(): - if pspec.category is ComponentCategory.CAPACITOR: - carbon = self.cap_model.get_carbon( - ci=pspec.fab_ci, - ctype=pspec.type, - weight=pspec.weight, - n_caps=pspec.quantity, - ) - else: - raise NotImplementedError( - f"Carbon model for component type {pspec.category} not implemented." - ) - - # add the passive device to the results and list of devices - passives_results[pname] = carbon - return passives_results - - def materials_analysis(self, materials): - materials_results = dict() - for pname, spec in materials.items(): - if spec.category in [ComponentCategory.FRAME, ComponentCategory.ENCLOSURE]: - carbon = self.materials_model.get_carbon( - mat=spec.type, weight=spec.weight - ) - elif spec.category is ComponentCategory.PCB: - carbon = self.pcb_model.get_carbon(area=spec.area, layers=spec.layers) - elif spec.category is ComponentCategory.BATTERY: - carbon = self.battery_model.get_carbon(capacity=spec.capacity) - else: - raise NotImplementedError( - f"Carbon model for component type {spec.category} not implemented." - ) - - # add the passive device to the results and list of devices - materials_results[pname] = carbon - return materials_results - - def export_results(self, export_file: str, total_carbon): - now = datetime.datetime.now() - export_data = dict(report_generated=now.strftime("%m/%d/%Y %H:%M:%S")) - export_data.update(cl_args=" ".join(sys.argv)) - - # export the settings used for the operational estimate - query_dict = dict( - op_power=str(self.last_op_power), - op_ci=self.last_op_ci.value, - duty_cycle=str(self.last_duty_cycle), - hw_lifetime=str(self.last_hw_lifetime), - ) - export_data.update(query_settings=query_dict) - - # log the total carbon - export_data.update(total_carbon=str(total_carbon.total().to(self.weight_unit))) - - # generate the result report by category - result_by_cat_dict = dict() - for src in SourceType: - result_by_cat_dict[src.name] = str( - total_carbon.partial(src).to(self.weight_unit) - ) - export_data.update(result_by_category=result_by_cat_dict) - - # generate the results by component - result_by_dev_dict = dict() - - silicon_results = dict() - for dev, carbon in self.silicon_results.items(): - dev_dict = { - ctype.name: str(amt.to(self.weight_unit)) - for ctype, amt in carbon.carbon_by_type.items() - } - silicon_results[dev] = dev_dict - result_by_dev_dict.update(silicon_results=silicon_results) - - materials_results = dict() - for dev, carbon in self.materials_results.items(): - dev_dict = { - ctype.name: str(amt.to(self.weight_unit)) - for ctype, amt in carbon.carbon_by_type.items() - } - materials_results[dev] = dev_dict - result_by_dev_dict.update(materials_results=materials_results) - - passives_results = dict() - for dev, carbon in self.passives_results.items(): - dev_dict = { - ctype.name: str(amt.to(self.weight_unit)) - for ctype, amt in carbon.carbon_by_type.items() - } - passives_results[dev] = dev_dict - result_by_dev_dict.update(passives_results=passives_results) - - export_data.update(result_by_device=result_by_dev_dict) - - with open(export_file, "w") as handle: - yaml.dump(export_data, handle) - log.info(f"ACT results exported to: {export_file}") - - -def main(): - # parse arguments and sanitize them - parser = get_parser() - args = parser.parse_args() - - # setup logging and telemetry - loglevel = getattr(logging, args.loglevel.upper()) - setup_logger(loglevel=loglevel) - - log.info("ACT called with: " + " ".join(sys.argv)) - - model_args, query_args = get_clean_args(args) - - # initialize the model - model = ACTModel(**model_args) - - # if a bill of materials file is specified, use that instead of the cl arg values - if args.materials is not None: - with open(args.materials) as handle: - bom = BOM( - **yaml.load(handle, Loader=yaml.FullLoader), - file=args.materials, - material_type=model.materials_model.MaterialType, - ) - query_args.update(bom=bom) - - # query the model for the carbon estimate - carbon = model.get_carbon(**query_args) - log.info(f"Total carbon for this system configuration: {carbon.total()}") - - log.info("ACT done executing...") - - return model - - -if __name__ == "__main__": - main() diff --git a/act/boms/dellr740.yaml b/act/boms/dellr740.yaml deleted file mode 100644 index 23eab89..0000000 --- a/act/boms/dellr740.yaml +++ /dev/null @@ -1,134 +0,0 @@ -name: Dell Power Edge R740 Server Materials Model -description: Materials model for Dell R740 from https://corporate.delltechnologies.com/content/dam/digitalassets/active/en/unauth/data-sheets/products/servers/lca_poweredge_r740.pdf ported from ACT -silicon: - # system has 8 x 84 TB SSDs - ssd.main0: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main1: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main2: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main3: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main4: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main5: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main6: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.main7: - model: flash - process: nand_30nm - n_ics: 13 - capacity: 3840 GB - ssd.secondary.ssd: - model: flash - process: nand_30nm - capacity: 400 GB - n_ics: 13 - fab_yield: 0.875 - ssd.secondary.dram: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 68 GB - fab_yield: 0.875 - - # system has 12 main DRAMs - dram.main0: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main1: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main2: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main3: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main4: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main5: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main6: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main7: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main8: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main9: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main10: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - dram.main11: - model: dram - process: ddr3_50nm - n_ics: 19 - capacity: 36 GB - - # 2 x CPU - cpu.main0: - area: 6.98 cm2 - process: 28nm - n_ics: 2 - fab_yield: 0.875 - gpa: 95 - fab_ci: coal - cpu.main1: - area: 6.98 cm2 - process: 28nm - n_ics: 2 - fab_yield: 0.875 - gpa: 95 - fab_ci: coal diff --git a/act/core/arg_parser.py b/act/core/arg_parser.py deleted file mode 100644 index 216f3f1..0000000 --- a/act/core/arg_parser.py +++ /dev/null @@ -1,281 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import argparse - -from .common import * -from .bom import BOM -from .units import units - - -def get_parser(): - """ - Returns an ArgumentParser instance for the ACT carbon modeling tool. - - The parser includes arguments for output directory, materials, logic area, - DRAM size, SSD size, HDD size, operating power, DRAM process, SSD process, - HDD process, logic process, log level, number of ICs, number of capacitors, - PCB area, and export file. - """ - parser = argparse.ArgumentParser(description="ACT carbon modeling tool.") - - add_ci_args(parser) - add_yield_args(parser) - add_lifetime_args(parser) - add_abatement_arg(parser) - - parser.add_argument( - "-o", - "--out-dir", - type=str, - default=None, - help="Output directory for result files", - ) - - parser.add_argument( - "-m", - "--materials", - type=str, - default=None, - help="Bill of materials list file to add to the total emissions cost.", - ) - - parser.add_argument( - "--logic-area", - type=str, - default="0cm2", - help="Total logic silicon area. Must have units of area (ex., 13cm2, 500mm2, etc.).", - ) - - parser.add_argument( - "--dram-size", - type=str, - default="0GB", - help="DRAM capacity. Must have units of storage (ex., 1.2GB, 543MB, etc.).", - ) - - parser.add_argument( - "--ssd-size", - type=str, - default="0GB", - help="SSD capacity. Must have units of storage (ex., 1.5GB, 43MB, etc.).", - ) - - parser.add_argument( - "--hdd-size", - type=str, - default="0GB", - help="HDD capacity. Must have units of storage (ex., 1.5GB, 75MB, etc.)", - ) - - parser.add_argument( - "--op-power", - default="0mW", - type=str, - help="Device operating power. Must have units of power (ex. 100mW, 10W etc.).", - ) - - parser.add_argument( - "--dram-process", - type=str, - default=DRAMProcess.DDR4_10NM, - help=f"DRAM fabrication process. Must be one of {[x.value for x in DRAMProcess]}", - ) - - parser.add_argument( - "--ssd-process", - type=str, - default=SSDProcess.NAND_10NM, - help=f"SSD fabrication process. Must be one of {[x.value for x in SSDProcess]}", - ) - - parser.add_argument( - "--hdd-process", - type=str, - default=HDDProcess.BARRACUDA, - help=f"HDD manufacturer. Must be one of {[x.value for x in HDDProcess]}", - ) - - parser.add_argument( - "--logic-process", - default=14, - type=int, - help="Technology node geometric in nm for logic. Must be an integer value corresponding to geometry.", - ) - - parser.add_argument( - "-l", - "--loglevel", - type=str, - default="info", - help="Log level to report messages and telemetry.", - ) - - parser.add_argument( - "--ics", type=int, default=0, help="Number of ICs that need to be packaged" - ) - parser.add_argument( - "--caps", type=int, default=0, help="Number of capacitors in the system" - ) - parser.add_argument( - "--pcb-area", - type=str, - default="0mm2", - help=f"Printed circuit board area with units (ex., 10mm2, 152cm2)", - ) - parser.add_argument( - "--export-file", type=str, default=None, help="Output file for results from ACT" - ) - - return parser - - -def add_yield_args(parser): - """ - Adds yield-related arguments to the parser. - - The added arguments include logic yield, DRAM yield, SSD yield, and HDD yield. - """ - parser.add_argument( - "--logic-yield", - type=float, - default=1.0, - help="Chip yield rate for logic. Must be 0 < yield <= 1.0", - ) - parser.add_argument( - "--dram-yield", - type=float, - default=1.0, - help="Yield rate for DRAM. Must be 0 < yield <= 1.0", - ) - parser.add_argument( - "--ssd-yield", - type=float, - default=1.0, - help="Yield rate for SSD. Must be 0 < yield <= 1.0", - ) - parser.add_argument( - "--hdd-yield", - type=float, - default=1.0, - help="Yield rate for HDD. Must be 0 < yield <= 1.0", - ) - - -def add_ci_args(parser): - """ - Adds carbon intensity-related arguments to the parser. - - The added arguments include fab CI, cap CI, and op CI. - """ - parser.add_argument( - "--fab-ci", - default=DEFAULT_FAB_LOCATION.value, - type=str, - help=f"Carbon intensity configuration for device fabrication. Either a location from {[x.value for x in EnergyLocation]} or an energy mix source from {[x.value for x in EnergySource]} must be specified. By default will use {DEFAULT_FAB_LOCATION}.", - ) - - parser.add_argument( - "--cap-ci", - default=DEFAULT_FAB_LOCATION.value, - type=str, - help=f"Carbon intensity configuration for capacitor fabrication. Either a location from {[x.value for x in EnergyLocation]} or an energy mix source from {[x.value for x in EnergySource]} must be specified. By default will use {DEFAULT_FAB_LOCATION}.", - ) - - parser.add_argument( - "--op-ci", - default=DEFAULT_OP_LOCATION, - type=str, - help=f"Carbon intensity configuration for device operation. Either a location from {[x.value for x in EnergyLocation]} or an energy mix source from {[x.value for x in EnergySource]} must be specified. By default will use {DEFAULT_OP_LOCATION}.", - ) - - -def add_lifetime_args(parser): - """ - Adds lifetime-related arguments to the parser. - - The added arguments include duty cycle and lifetime. - """ - parser.add_argument( - "--duty-cycle", - type=float, - default=1.0, - help="Device duty cycle as a fraction from 0 to 1 which calculates the OPERATION energy cost.", - ) - - parser.add_argument( - "--lifetime", - type=str, - default="2years", - help="The estimated device lifetime before it will be replaced. (ex., 2years, 15days).", - ) - - -def add_abatement_arg(parser): - """ - Adds abatement-related argument to the parser. - - The added argument includes gpa (gasses abatement percentage level). - """ - parser.add_argument( - "--gpa", - type=int, - default=97, - help=f"Gasses abatement percentage level for gasses per area parameter. Options: {[x.value for x in AbatementLevel]}", - ) - - -def get_clean_args(args): - """ - Returns a tuple of model arguments and query arguments based on the input arguments. - - The model arguments include out_dir, and the query arguments include bom, op_ci, - op_power, duty_cycle, hw_lifetime, and export_file. - """ - op_ci = get_src_or_loc(args.op_ci) - fab_ci = get_src_or_loc(args.op_ci) - - model_args = dict(out_dir=args.out_dir) - - bom = BOM( - silicon=dict( - logic=dict( - area=args.logic_area, - fab_yield=float(args.logic_yield), - process=LogicProcess(f"{args.logic_process}nm"), - fab_ci=fab_ci, - gpa=AbatementLevel(args.gpa), - ), - dram=dict( - model="dram", - capacity=args.dram_size, - fab_yield=float(args.dram_yield), - process=DRAMProcess(args.dram_process), - ), - ssd=dict( - model="flash", - capacity=args.ssd_size, - fab_yield=float(args.ssd_yield), - process=SSDProcess(args.ssd_process), - ), - hdd=dict( - model="hdd", - capacity=args.hdd_size, - fab_yield=float(args.hdd_yield), - process=HDDProcess(args.hdd_process), - ), - ) - ) - - query_args = dict( - bom=bom, - op_ci=op_ci, - op_power=units(args.op_power), - duty_cycle=float(args.duty_cycle), - hw_lifetime=units(args.lifetime), - export_file=args.export_file, - ) - - return model_args, query_args diff --git a/act/core/battery_model.py b/act/core/battery_model.py deleted file mode 100644 index 732253b..0000000 --- a/act/core/battery_model.py +++ /dev/null @@ -1,59 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from enum import Enum - -import pint - -from .carbon import Carbon, SourceType -from .units import kg, kWh - - -# based on https://www.nature.com/articles/s41467-024-54634-y -# nickel-based cathode = NMC (nickel magnesium phosphate) -# lithium iron phosphate = LFP -# The data for LFP spans 54 to 69 kgCO2e kWh−1 (Fig. 3a) so take the average of the range for now -# The data for NMC is 59-115 kg / kWh -class CathodeType: - """ - Enum representing the type of cathode in a lithium-ion battery. - - Attributes: - LFP (str): Lithium iron phosphate cathode type. - NMC (str): Nickel magnesium phosphate cathode type. - """ - - LFP = "LFP" - NMC = "NMC" - - -LI_BATTERY_CARBON_PER_KWH = { - CathodeType.NMC: 87 * kg / kWh, - CathodeType.LFP: 61.5 * kg / kWh, -} - - -class BatteryModel: - """ - A model for estimating carbon emissions from batteries. - - This class provides a method to calculate the estimated carbon emissions from a battery based on its capacity. - """ - - def get_carbon( - self, capacity: pint.Quantity, btype: CathodeType = CathodeType.NMC - ) -> Carbon: - """ - Get the estimated carbon emissions from a battery based on its capacity. - - Args: - capacity (pint.Quantity): The capacity of the battery in kWh. - btype (CathodeType): The Li battery cathode type. Defaults to CathodeType.NMC. - - Returns: - Carbon: The total carbon emissions from the battery fabrication. - """ - c = Carbon(capacity * LI_BATTERY_CARBON_PER_KWH[btype], SourceType.FABRICATION) - return c diff --git a/act/core/bom.py b/act/core/bom.py deleted file mode 100644 index c15869b..0000000 --- a/act/core/bom.py +++ /dev/null @@ -1,225 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from dataclasses import dataclass - -from .capacitor_model import CapacitorType -from .units import * -import os -from enum import Enum -from typing import Union - -import pint -import yaml - -from .carbon import SourceType - -from .common import ( - AbatementLevel, - ComponentCategory, - DEFAULT_FAB_YIELD, - DRAMProcess, - EnergyLocation, - get_src_or_loc, - HDDProcess, - LogicProcess, - ModelType, - SSDProcess, -) -from .logger import log - -SILICON = "silicon" -CATEGORY = "category" -MATERIALS = "materials" -PASSIVES = "passives" -IMPORTS = "imports" - - -@dataclass -class BOM: - name: str = "Default Materials List Name" - owner: str = "" - description: str = "" - materials: dict = None # frame/enclosure device materials - passives: dict = None # passive component devices - silicon: dict = None # silicon devices - imports: dict = None # any files to import (not recursive) - file: str = None # original file for this BOM - material_type: Enum = None # the material types - - def __post_init__(self): - if self.passives is None: - self.passives = dict() - if self.materials is None: - self.materials = dict() - if self.silicon is None: - self.silicon = dict() - - # import data from additional files if specified first - if self.imports is not None: - for iname, filepath in self.imports.items(): - path = os.path.dirname(self.file) + "/" + filepath - with open(path) as handle: - file_data = yaml.load(handle, Loader=yaml.FullLoader) - if MATERIALS in file_data: - for name, data in file_data[MATERIALS].items(): - self.materials[f"{iname}.{name}"] = data - if SILICON in file_data: - for name, data in file_data[SILICON].items(): - self.silicon[f"{iname}.{name}"] = data - if PASSIVES in file_data: - for name, data in file_data[PASSIVES].items(): - self.passives[f"{iname}.{name}"] = data - if IMPORTS in file_data: - log.warn( - f"File importing currently only works for a single level and is not recursive. Recursive import {file_data[IMPORTS]} in {path} will be ignored." - ) - - # convert the dictionary to unit'ed structure and specifications - passives = dict() - if self.passives is not None: - for cname, cdata in self.passives.items(): - cat = ComponentCategory(cdata[CATEGORY]) - if cat is ComponentCategory.CAPACITOR: - passives[cname] = CapacitorSpec(**cdata) - elif cat is ComponentCategory.RESISTOR: - passives[cname] = ResistorSpec(**cdata) - elif cat is ComponentCategory.SIGNAL_BEAD: - passives[cname] = BaseSpec(**cdata) - else: - raise NotImplementedError( - f"Materials specification category {cat} for materials list item {cname} not defined." - ) - self.passives = passives - - # convert the frame materials - if self.materials is not None: - self.materials = { - mname: MaterialSpec(**mdata, material_type=self.material_type) - for mname, mdata in self.materials.items() - } - else: - self.materials = dict() - - # convert the silicon annotation data structure - silicon = dict() - if self.silicon is not None: - for dname, silicon_data in self.silicon.items(): - annotation = SiliconAnnotation(**silicon_data) - silicon[dname] = annotation - self.silicon = silicon - - -@dataclass -class SiliconAnnotation: - model: ModelType = ModelType.LOGIC # assume logic model by default - area: str = "0 mm2" - capacity: str = "0 GB" - n_ics: int = 0 - process: Union[LogicProcess, DRAMProcess, SSDProcess, HDDProcess] = None - carbon: str = None # carbon amount if using manual type - ctype: str = SourceType.FABRICATION # carbon type if using manual model type - fab_yield: float = DEFAULT_FAB_YIELD - fab_ci: str = None - gpa: AbatementLevel = None - - def __post_init__(self): - self.area = units(self.area) - self.model = ModelType(self.model) - self.capacity = units(self.capacity) - self.carbon = units(self.carbon) if self.carbon is not None else None - self.ctype = SourceType(self.ctype) - self.gpa = ( - AbatementLevel(self.gpa) if self.gpa is not None else AbatementLevel.GPA97 - ) - self.fab_ci = ( - get_src_or_loc(self.fab_ci) - if self.fab_ci is not None - else EnergyLocation.TAIWAN - ) - - if self.model is ModelType.LOGIC: - self.process = ( - LogicProcess(self.process) - if self.process is not None - else LogicProcess.NA - ) - elif self.model is ModelType.DRAM: - self.process = ( - DRAMProcess(self.process) - if self.process is not None - else DRAMProcess.NA - ) - elif self.model is ModelType.FLASH: - self.process = ( - SSDProcess(self.process) if self.process is not None else SSDProcess.NA - ) - elif self.model is ModelType.HDD: - self.process = ( - HDDProcess(self.process) if self.process is not None else HDDProcess.NA - ) - else: # by default convert with logic process for now - self.process = ( - LogicProcess(self.process) - if self.process is not None - else LogicProcess.NA - ) - - -@dataclass -class BaseSpec: # common materials specifications - category: str - quantity: int = 0 - weight: pint.Quantity = "0 g" - area: pint.Quantity = "0 mm2" - capacity: pint.Quantity = "0 kWh" - fab_ci: str = None - layers: int = None - - def __post_init__(self): - self.weight = units(self.weight) - self.category = ComponentCategory(self.category) - self.area = units(self.area) - self.capacity = units(self.capacity) - self.fab_ci = ( - get_src_or_loc(self.fab_ci) - if self.fab_ci is not None - else EnergyLocation.JAPAN - ) - - -@dataclass -class CapacitorSpec(BaseSpec): - type: str = CapacitorType.GENERIC.value - - def __post_init__(self): - super().__post_init__() - self.type = CapacitorType(self.type) - - -@dataclass -class ResistorSpec(BaseSpec): - type: str = "" - - -@dataclass -class MaterialSpec(BaseSpec): - type: str = "" # the material type - material_type: Enum = None - - def __post_init__(self): - super().__post_init__() - self.type = ( - self.material_type(self.type) if self.type else self.material_type.NA - ) - - -def load_bom(materials_file: str, material_type: Enum): - """Load the materials file and return a BOM data structure""" - - with open(materials_file) as handle: - materials_data = yaml.load(handle, Loader=yaml.FullLoader) - materials = BOM(**materials_data, file=materials_file, material_type=material_type) - return materials diff --git a/act/core/capacitor_model.py b/act/core/capacitor_model.py deleted file mode 100644 index 3a2652a..0000000 --- a/act/core/capacitor_model.py +++ /dev/null @@ -1,91 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from enum import Enum - -import yaml -from .units import * - -from .carbon import Carbon, SourceType -from .common import ACT_ROOT, EnergyLocation -from .utils import load_ci_model - - -class CapacitorType(Enum): - """ - Enum representing different types of capacitors. - - Attributes: - MLCC (str): Multilayer Ceramic Capacitor - TEC (str): Tantalum Electrolytic Capacitor - GENERIC (str): Generic Capacitor - """ - - MLCC = "mlcc" - TEC = "tec" - GENERIC = "generic" - - -"""Default weight of a capacitor in grams.""" -DEFAULT_CAPACITOR_WEIGHT = 0.03 * g - -"""Default carbon emissions per capacitor in grams.""" -DEFAULT_CARBON_PER_CAPACITOR = 300 * g - -"""Default configuration file for capacitor models.""" -DEFAULT_CP_CONFIG = f"{ACT_ROOT}/models/passives/capacitors.yaml" - - -class CapacitorModel: - """ - A model for estimating carbon emissions from capacitors. - - Attributes: - capacitor_model (dict): A dictionary mapping CapacitorType to units of carbon per weight. - ci_model (dict): A dictionary mapping EnergyLocation to carbon intensity values. - """ - - def __init__(self, model_file=DEFAULT_CP_CONFIG) -> None: - """ - Initializes a new instance of the CapacitorModel class. - Loads the capacitor model and carbon intensity model from YAML files. - - Args: - model_file (str, optional): Capacitor model file to load. Defaults to DEFAULT_CP_CONFIG. - """ - with open(model_file) as f: - self.capacitor_model: dict[CapacitorType, pint.Quantity] = { - CapacitorType(c): units(v) - for c, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - self.ci_model = load_ci_model() - - def get_carbon( - self, - ci: EnergyLocation = EnergyLocation.JAPAN, - ctype: CapacitorType = CapacitorType.GENERIC, - weight: pint.Quantity = DEFAULT_CAPACITOR_WEIGHT, - n_caps: int = 1, - ) -> Carbon: - """ - Get the carbon emissions cost based on the capacitor type and weight of the capacitor. - - Args: - ci (EnergyLocation, optional): Carbon intensity per manufacturing energy. Defaults to EnergyLocation.JAPAN. - ctype (CapacitorType, optional): The capacitor type. Defaults to CapacitorType.GENERIC. - weight (pint.Quantity, optional): Weight of the capacitor. Defaults to DEFAULT_CAPACITOR_WEIGHT. - n_caps (int, optional): Number of capacitors. Defaults to 1. - - Returns: - Carbon: A carbon object that encodes the emissions cost of manufacturing. - """ - if ctype in self.capacitor_model: - c = Carbon( - self.capacitor_model[ctype] * weight * n_caps * self.ci_model[ci], - SourceType.PASSIVES, - ) - return c - else: - return Carbon(DEFAULT_CARBON_PER_CAPACITOR * n_caps, SourceType.PASSIVES) diff --git a/act/core/common.py b/act/core/common.py deleted file mode 100644 index 7f837d1..0000000 --- a/act/core/common.py +++ /dev/null @@ -1,217 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import os -from enum import Enum - -from .units import * - -""" -Root directory of the project. -""" -ACT_ROOT = os.path.dirname(__file__) + "/.." - - -def get_src_or_loc(arg): - """ - Attempts to create an EnergySource or EnergyLocation instance from the given argument. - - Args: - arg: The argument to create an EnergySource or EnergyLocation instance from. - - Returns: - An instance of EnergySource or EnergyLocation. - """ - try: - ci = EnergySource(arg) - except ValueError: - ci = EnergyLocation(arg) - return ci - - -class LogicProcess(Enum): - """ - Enum representing different logic processes. - """ - - N65 = "65nm" - N45 = "45nm" - N40 = "40nm" - N28 = "28nm" - N20 = "20nm" - N14 = "14nm" - N10 = "10nm" - N8 = "8nm" - N7 = "7nm" - N7_EUV = "7nm_EUV" - N5 = "5nm" - N3 = "3nm" - N2 = "2nm" - N2_BSP = "2nm_BSP" - A14 = "14a" - A10 = "10a" - NA = "na" - - -class DRAMProcess(Enum): - """ - Enum representing different DRAM processes. - """ - - DDR3_50NM = "ddr3_50nm" - DDR3_40NM = "ddr3_40nm" - DDR3_30NM = "ddr3_30nm" - LPDDR3_30NM = "lpddr3_30nm" - LPDDR3_20NM = "lpddr3_20nm" - LPDDR2_20NM = "lpddr2_20nm" - LPDDR4 = "lpddr4" - DDR4_10NM = "ddr4_10nm" - NA = "na" - - -class SSDProcess(Enum): - """ - Enum representing different SSD processes. - """ - - NAND_30NM = "nand_30nm" - NAND_20NM = "nand_20nm" - NAND_10NM = "nand_10nm" - NAND_TLC_1Z = "nand_tlc_1z" - NAND_TLC_V3 = "nand_tlc_v3" - SEAGATE_3530 = "seagate_nytro_3530" - SEAGATE_1551 = "seagate_nytro_1551" - SEAGATE_3331 = "seagate_nytro_3331" - WD_2016 = "western_digital_2016" - WD_2017 = "western_digital_2017" - WD_2018 = "western_digital_2018" - WD_2019 = "western_digital_2019" - NA = "na" - - -class HDDProcess(Enum): - """ - Enum representing different HDD processes. - """ - - BARRACUDA = "BarraCuda" - BARRACUDA2 = "BarraCuda2" - BARRACUDA_PRO = "BarraCuda Pro" - FIRECUDA = "FireCuda" - FIRECUDA2 = "FireCuda2" - IRONWOLF = "IronWolf" - IRONWOLFPRO = "IronWolfPro" - SKYHAWK3TB = "SkyWalk3TB" - SKYHAWK_SURV = "Skyhawk Surveillance" - SKYHAWK6TB = "Skyhawk-6TB" - VIDEO_HDD = "VideoHDD" - VIDEO_PHDD = "VideoPipelineHDD" - EXOS2X14 = "Exos2x14" - EXOSX12 = "Exosx12" - EXOSX16 = "Exosx16" - EXOS15 = "Exos15e900" - EXOS10 = "Exos10e2400" - EXOS500 = "Exos5e8" - EXOS700 = "Exos7e8" - NA = "na" - - -class EnergyLocation(Enum): - """ - Enum representing different energy locations. - """ - - WORLD = "world" - INDIA = "india" - AUSTRALIA = "australia" - JAPAN = "japan" - KOREA = "korea" - TAIWAN = "taiwan" - SINGAPORE = "singapore" - USA = "usa" - EUROPE = "europe" - BRAZIL = "brazil" - ICELAND = "iceland" - - -class EnergySource(Enum): - """ - Enum representing different energy sources. - """ - - COAL = "coal" - GAS = "gas" - BIOMASS = "biomass" - SOLAR = "solar" - GEOTHERMAL = "geothermal" - HYDROPOWER = "hydropower" - NUCLEAR = "nuclear" - WIND = "wind" - - -""" -Default fabrication source. -""" -DEFAULT_FAB_SOURCE = EnergySource.COAL - -""" -Default operation location. -""" -DEFAULT_OP_LOCATION = EnergyLocation.USA - -""" -Default fabrication location. -""" -DEFAULT_FAB_LOCATION = EnergyLocation.TAIWAN - -""" -Default fabrication yield. -""" -DEFAULT_FAB_YIELD = 0.875 - - -class AbatementLevel(Enum): - """ - Enum representing different abatement levels. - """ - - GPA95 = 95 - GPA97 = 97 - GPA99 = 99 - - -class ComponentCategory(Enum): - """ - Enum representing different component categories. - """ - - CAPACITOR = "capacitor" - RESISTOR = "resistor" - DIODE = "diode" - FRAME = "frame" - ENCLOSURE = "enclosure" - SILICON = "silicon" - PCB = "pcb" - BATTERY = "battery" - SIGNAL_BEAD = "signal bead" - OTHER = "other" - - -class ModelType(Enum): - """ - Enum representing different model types. - """ - - LOGIC = "logic" - DRAM = "dram" - FLASH = "flash" - HDD = "hdd" - MANUAL = "manual" - - -""" -Carbon per IC package in grams. -""" -CARBON_PER_IC_PACKAGE = 150 * g diff --git a/act/core/dram_model.py b/act/core/dram_model.py deleted file mode 100644 index 210756b..0000000 --- a/act/core/dram_model.py +++ /dev/null @@ -1,30 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import yaml - -from .common import ACT_ROOT, DRAMProcess -from .storage_model import StorageModel -from .units import units - -DEFAULT_DRAM_CONFIG = f"{ACT_ROOT}/models/dram/dram_hynix.yaml" - - -class DRAMModel(StorageModel): - """ - A model for estimating carbon emissions from dynamic random access memory (DRAM). - Attributes: - None - """ - - def __init__(self, model_file=DEFAULT_DRAM_CONFIG) -> None: - """ - Initializes a new instance of the DRAMModel class. - """ - # Load the DRAM model - with open(model_file) as f: - dram_model: dict = yaml.load(f, Loader=yaml.FullLoader) - dram_model = {DRAMProcess(k): units(v) for k, v in dram_model.items()} - super().__init__(fab_model=dram_model) diff --git a/act/core/hdd_model.py b/act/core/hdd_model.py deleted file mode 100644 index 8549070..0000000 --- a/act/core/hdd_model.py +++ /dev/null @@ -1,45 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - - -import yaml -from .units import * - -from .common import ACT_ROOT, HDDProcess -from .storage_model import StorageModel - -DEFAULT_HDD_CONFIG = [ - f"{ACT_ROOT}/models/hdd/hdd_consumer.yaml", - f"{ACT_ROOT}/models/hdd/hdd_enterprise.yaml", -] - - -class HDDModel(StorageModel): - """ - A model for estimating carbon emissions from hard disk drives (HDDs). - - Attributes: - None - """ - - def __init__(self, model_files=DEFAULT_HDD_CONFIG) -> None: - """ - Initializes a new instance of the HDDModel class. - - Loads the HDD carbon cost models from YAML files. - - Args: - model_files (list): A list of file paths to the HDD carbon cost models. - """ - - # Load the HDD carbon cost models - hdd_model = dict() - for mfile in model_files: - with open(mfile) as f: - model_data = yaml.load(f, Loader=yaml.FullLoader) - hdd_model.update(model_data) - - hdd_model = {HDDProcess(k): units(v) for k, v in hdd_model.items()} - super().__init__(fab_model=hdd_model) diff --git a/act/core/logger.py b/act/core/logger.py deleted file mode 100644 index f533625..0000000 --- a/act/core/logger.py +++ /dev/null @@ -1,105 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import logging -import sys - -# Color palette constants -COLOR_PALETTE = { - "yellow": "\x1b[33;20m", - "green": "\033[92m", - "red": "\x1b[31;20m", - "bold_white": "\033[1m", - "bold_red": "\x1b[31;1m", - "reset": "\x1b[0m", -} - - -class ACTFormatter(logging.Formatter): - """ - Log formatter definition for ACT. - - This class defines a custom log formatter for the ACT logger. - It provides a colorized log output with different colors for each log level. - """ - - # Define the log formats for each level - PREFIX = "[%(module)24s - " - POSTFIX = " %(message)s" - LEVEL_FORMATS = { - logging.DEBUG: PREFIX - + f"{COLOR_PALETTE['green']}%(levelname)s{COLOR_PALETTE['reset']}" - + POSTFIX, - logging.INFO: PREFIX - + f"{COLOR_PALETTE['bold_white']}%(levelname)s{COLOR_PALETTE['reset']}" - + POSTFIX, - logging.WARNING: PREFIX - + f"{COLOR_PALETTE['yellow']}%(levelname)s{COLOR_PALETTE['reset']}" - + POSTFIX, - logging.ERROR: PREFIX - + f"{COLOR_PALETTE['red']}%(levelname)s{COLOR_PALETTE['reset']}" - + POSTFIX, - logging.CRITICAL: PREFIX - + f"{COLOR_PALETTE['bold_red']}%(levelname)s{COLOR_PALETTE['reset']}" - + POSTFIX, - } - - def format(self, record): - """ - Format a log record using the custom format. - - Args: - record (logging.LogRecord): The log record to format. - - Returns: - str: The formatted log record. - """ - level_format = self.LEVEL_FORMATS.get(record.levelno) - formatter = logging.Formatter(level_format) - return formatter.format(record) - - -def clear_handlers(): - """ - Clear all handlers from the ACT logger except for the stream handler to stdout. - - This function removes all handlers from the ACT logger except for the stream handler to stdout. - It is used to reset the logger to its default state. - """ - logger = logging.getLogger("ACT") - for handler in logger.handlers: - if not isinstance(handler, logging.StreamHandler): - logger.removeHandler(handler) - handler.close() - - -def setup_logger(file_name=None, loglevel=None): - """ - Set up the ACT logger with the specified file name and log level. - - Args: - file_name (str, optional): The file name to log to. If None, no file handler is added. - loglevel (int, optional): The log level to set. If None, the default log level is used. - - Returns: - None - """ - logger = logging.getLogger("ACT") - logger.propagate = False # prevent duplicate output - if loglevel is not None: - logger.setLevel(loglevel) - formatter = ACTFormatter() - new_handlers = [] - current_handlers = logger.handlers - if not any(isinstance(h, logging.StreamHandler) for h in current_handlers): - new_handlers.append(logging.StreamHandler(sys.stdout)) - if file_name is not None: - new_handlers.append(logging.FileHandler(file_name, "w", "utf-8")) - for handler in new_handlers: - handler.setFormatter(formatter) - logger.addHandler(handler) - - -log = logging.getLogger("ACT") diff --git a/act/core/logic_model.py b/act/core/logic_model.py deleted file mode 100644 index 221ae4a..0000000 --- a/act/core/logic_model.py +++ /dev/null @@ -1,229 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import pint -import yaml - -from .carbon import Carbon, SourceType - -from .common import ( - AbatementLevel, - ACT_ROOT, - CARBON_PER_IC_PACKAGE, - DEFAULT_FAB_YIELD, - EnergyLocation, - LogicProcess, -) -from .logger import log -from .units import mm2, units -from .utils import load_ci_model - -DEFAULT_EPA_CONFIG = f"{ACT_ROOT}/models/logic/epa.yaml" -DEFAULT_MATERIALS_CONFIG = f"{ACT_ROOT}/models/logic/materials.yaml" -DEFAULT_GPA95_CONFIG = f"{ACT_ROOT}/models/logic/gpa_95.yaml" -DEFAULT_GPA99_CONFIG = f"{ACT_ROOT}/models/logic/gpa_99.yaml" - - -class LogicModel: - """ - A class representing a logic model for calculating carbon emissions. - - Attributes: - epa_model (dict): A dictionary mapping logic processes to energy per unit area. - materials_model (dict): A dictionary mapping logic processes to raw materials per unit area. - gpa_model (dict): A dictionary mapping abatement levels to dictionaries of logic processes to gas emissions per unit area. - ci_model (dict): A dictionary mapping energy locations to carbon intensity models. - """ - - def __init__( - self, - epa_file=DEFAULT_EPA_CONFIG, - materials_config=DEFAULT_MATERIALS_CONFIG, - gpa95_file=DEFAULT_GPA95_CONFIG, - gpa99_file=DEFAULT_GPA99_CONFIG, - ) -> None: - """ - Initializes a LogicModel instance. - - Args: - epa_file (str, optional): The path to the EPA configuration file. Defaults to DEFAULT_EPA_CONFIG. - materials_config (str, optional): The path to the materials configuration file. Defaults to DEFAULT_MATERIALS_CONFIG. - gpa95_file (str, optional): The path to the GPA 95 configuration file. Defaults to DEFAULT_GPA95_CONFIG. - gpa99_file (str, optional): The path to the GPA 99 configuration file. Defaults to DEFAULT_GPA99_CONFIG. - """ - # energy per unit area - with open(epa_file) as f: - self.epa_model = { - LogicProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - - # raw materials per unit area - with open(materials_config) as f: - self.materials_model = { - LogicProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - - self.gpa_model = dict() - with open(gpa95_file) as f: - self.gpa_model[AbatementLevel.GPA95] = { - LogicProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - with open(gpa99_file) as f: - self.gpa_model[AbatementLevel.GPA99] = { - LogicProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - self.gpa_model[AbatementLevel.GPA97] = { - key: ( - self.gpa_model[AbatementLevel.GPA95][key] - + self.gpa_model[AbatementLevel.GPA99][key] - ) - / 2.0 - for key in self.gpa_model[AbatementLevel.GPA95].keys() - } - - # load the carbon intensity model by source/location - self.ci_model = load_ci_model() - - def get_cpa( - self, - logic_process: LogicProcess, - fab_yield: float = DEFAULT_FAB_YIELD, - gpa=AbatementLevel.GPA97, - fab_ci=EnergyLocation.TAIWAN, - ) -> pint.Quantity: - """ - Get the carbon per area for a given logic process and fabrication yield. - - Args: - logic_process (LogicProcess): The logic process to calculate carbon per area for. - fab_yield (float, optional): The fabrication yield. Defaults to DEFAULT_FAB_YIELD. - gpa (AbatementLevel): Manufacturing gas abatement level. Defaults to AbatementLevel.GPA97. - fab_ci (EnergyLocation): Carbon intensity of logic manufacturing. Defaults to EnergyLocation.TAIWAN. - - Returns: - pint.Quantity: The carbon per area. - - Raises: - SystemExit: If the carbon intensity or abatement level is not recognized. - """ - if fab_ci not in self.ci_model: - log.error( - f"Error: Carbon intensity must either be loc | src dependent. Got {fab_ci}" - ) - exit(-1) - if gpa not in AbatementLevel: - log.error(f"Abatement level {gpa} not recognized...") - exit(-1) - - fab_ci = self.ci_model[fab_ci] - - carbon_energy = fab_ci * self.epa_model[logic_process] - carbon_gas = self.gpa_model[gpa][logic_process] - carbon_materials = self.materials_model[logic_process] - - carbon_per_area = carbon_energy + carbon_gas + carbon_materials - carbon_per_area = carbon_per_area / fab_yield - - return carbon_per_area - - def get_carbon( - self, - logic_process: LogicProcess, - area: pint.Quantity, - fab_yield: float = DEFAULT_FAB_YIELD, - n_ics: int = 0, - gpa=AbatementLevel.GPA97, - fab_ci=EnergyLocation.TAIWAN, - ) -> Carbon: - """ - Get the total carbon emissions for a given logic process, area, and fabrication yield. - - Args: - logic_process (LogicProcess): The logic process to calculate carbon emissions for. - area (pint.Quantity): The area of the logic process. - fab_yield (float, optional): The fabrication yield. Defaults to DEFAULT_FAB_YIELD. - n_ics (int, optional): The number of ICs. Defaults to 0. - gpa (AbatementLevel): Manufacturing gas abatement level. Defaults to AbatementLevel.GPA97. - fab_ci (EnergyLocation): Carbon intensity of logic manufacturing. Defaults to EnergyLocation.TAIWAN. - - Returns: - Carbon: The total carbon emissions. - - Raises: - SystemExit: If the logic process is not found in any of the models. - """ - assert area.check(mm2) - """Query the model to get the carbon impact results""" - if logic_process not in self.epa_model: - log.error( - f"Logic process {logic_process} not found in EPA model {self.epa_model}." - ) - exit(-1) - if logic_process not in self.gpa_model[gpa]: - log.error( - f"Logic process {logic_process} not found in GPA model {self.gpa_model}." - ) - exit(-1) - if logic_process not in self.materials_model: - log.error( - f"Logic process {logic_process} not found in materials model {self.materials_model}." - ) - exit(-1) - cpa = self.get_cpa( - logic_process=logic_process, fab_yield=fab_yield, gpa=gpa, fab_ci=fab_ci - ) - carbon = Carbon(area * cpa, SourceType.FABRICATION) + Carbon( - n_ics * CARBON_PER_IC_PACKAGE, SourceType.PACKAGING - ) - return carbon - - def get_carbon_energy( - self, logic_process: LogicProcess, fab_ci=EnergyLocation.TAIWAN - ) -> pint.Quantity: - """ - Get the carbon emissions from energy consumption for a given logic process. - - Args: - logic_process (LogicProcess): The logic process to calculate carbon emissions from energy consumption for. - fab_ci (EnergyLocation): Carbon intensity of logic manufacturing. Defaults to EnergyLocation.TAIWAN. - - Returns: - pint.Quantity: The carbon emissions from energy consumption. - """ - carbon_energy = self.ci_model[fab_ci] * self.epa_model[logic_process] - return carbon_energy - - def get_carbon_gas( - self, logic_process: LogicProcess, gpa=AbatementLevel.GPA97 - ) -> pint.Quantity: - """ - Get the carbon emissions from gas consumption for a given logic process. - - Args: - logic_process (LogicProcess): The logic process to calculate carbon emissions from gas consumption for. - gpa (AbatementLevel): Manufacturing gas abatement level. Defaults to AbatementLevel.GPA97. - - Returns: - pint.Quantity: The carbon emissions from gas consumption. - """ - carbon_gas = self.gpa_model[gpa][logic_process] - return carbon_gas - - def get_carbon_materials(self, logic_process: LogicProcess) -> pint.Quantity: - """ - Get the carbon emissions from materials consumption for a given logic process. - - Args: - logic_process (LogicProcess): The logic process to calculate carbon emissions from materials consumption for. - - Returns: - pint.Quantity: The carbon emissions from materials consumption. - """ - carbon_materials = self.materials_model[logic_process] - return carbon_materials diff --git a/act/core/materials_model.py b/act/core/materials_model.py deleted file mode 100644 index 6848773..0000000 --- a/act/core/materials_model.py +++ /dev/null @@ -1,69 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import os -from enum import Enum - -import yaml - -from .carbon import Carbon, SourceType -from .common import ACT_ROOT -from .units import g, units - -DEFAULT_MATERIALS_CONFIG = f"{ACT_ROOT}/models/materials/materials.yaml" - - -class MaterialsModel: - """ - A model for estimating carbon emissions from materials. - - Attributes: - model (dict): A dictionary mapping material types to their corresponding carbon costs. - MaterialType (Enum): An enumeration of material types, dynamically generated from the model file. - """ - - def __init__(self, model_file: str = DEFAULT_MATERIALS_CONFIG) -> None: - """ - Initializes a new instance of the MaterialsModel class. - - Loads the materials data from a YAML file and constructs the model. - - Args: - model_file (str, optional): The path to the materials data file. Defaults to DEFAULT_MATERIALS_CONFIG. - """ - with open(model_file) as handle: - model_data = yaml.load(handle, Loader=yaml.FullLoader) - materials_data = model_data["materials"] - - # Dynamically generate the materials enum - self.MaterialType = Enum( - "MaterialType", - {**{x.upper(): x for x in materials_data.keys()}, "NA": "na"}, - ) - - self.model = {self.MaterialType(k): units(v) for k, v in materials_data.items()} - for k, v in self.model.items(): - assert v.check( - g / g - ), f"Materials cost must be dimensionless. Got {v} for material {k}." - - def get_carbon(self, mat, weight: units) -> Carbon: - """ - Get the estimated carbon emissions from a given material and weight. - - Args: - mat (MaterialType): The type of material where MaterialType enum is dynamically loaded from the model file. - weight (pint.Quantity): The weight of the material. - - Returns: - Carbon: The total carbon emissions from the material. - - Raises: - AssertionError: If the weight is not in units of weight. - """ - assert weight.check(g), f"Weight should be in units of weight but got {weight}" - c_per_kg = self.model[self.MaterialType(mat)] - c = c_per_kg * weight - return Carbon(c, SourceType.ENCLOSURE) diff --git a/act/core/op_model.py b/act/core/op_model.py deleted file mode 100644 index 171dec3..0000000 --- a/act/core/op_model.py +++ /dev/null @@ -1,58 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from .utils import DEFAULT_LOCATION_CONFIG, DEFAULT_SOURCE_CONFIG, load_ci_model -from .units import * -from .carbon import Carbon, SourceType -from .logger import log - - -class OpModel: - def __init__( - self, - loc_ci_config=DEFAULT_LOCATION_CONFIG, - src_ci_config=DEFAULT_SOURCE_CONFIG, - ) -> None: - """Load the operation models - - Args: - loc_ci_config(str): The location carbon intensity configuration model file - src_ci_config(str): The energy source type carbon intensity confguration model file - - """ - self.ci_model = load_ci_model( - loc_ci_config=loc_ci_config, src_ci_config=src_ci_config - ) - - def get_carbon( - self, - lifetime: units, - duty_cycle: float, - op_power: units, - op_ci: str, - ) -> Carbon: - """Get the estimated carbon operation costs. - - Args: - lifetime (units): The estimated device lifetime. - duty_cycle (float): The estimated device active duty cycle. - op_power (units): The average operating power of the device. - op_ci (str): The carbon intensity of the energy grid for operation. - Returns: - Carbon: The total carbon emissions from operation. - Raises: - SystemExit: If the lifetime does not have units of time. - """ - if not lifetime.check(s): - log.error( - f"Operating lifetime of device must have units of time. Got {lifetime}" - ) - exit(-1) - - op_ci = self.ci_model[op_ci] - op_time = lifetime * duty_cycle - carbon = op_ci * op_power * op_time - - return Carbon(carbon, SourceType.OPERATION) diff --git a/act/core/ssd_model.py b/act/core/ssd_model.py deleted file mode 100644 index 3f803b1..0000000 --- a/act/core/ssd_model.py +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - - -import yaml - -from .common import ACT_ROOT, SSDProcess -from .storage_model import StorageModel -from .units import units - - -class SSDModel(StorageModel): - """ - A model for calculating SSD-related carbon emissions. - """ - - def __init__(self) -> None: - """ - Initializes a new instance of the SSDModel class. - """ - # Load the SSD storage model configuration - with open(f"{ACT_ROOT}/models/ssd/ssd_hynix.yaml", "r") as f: - ssd_model: dict[SSDProcess, units] = { - SSDProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - with open(f"{ACT_ROOT}/models/ssd/ssd_seagate.yaml", "r") as f: - ssd_model.update( - { - SSDProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - ) - with open(f"{ACT_ROOT}/models/ssd/ssd_western.yaml", "r") as f: - ssd_model.update( - { - SSDProcess(k): units(v) - for k, v in yaml.load(f, Loader=yaml.FullLoader).items() - } - ) - super().__init__(fab_model=ssd_model) diff --git a/act/core/utils.py b/act/core/utils.py deleted file mode 100644 index 67f79e1..0000000 --- a/act/core/utils.py +++ /dev/null @@ -1,130 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import yaml -from .units import * - -import math -from enum import auto, Enum - -from .common import ACT_ROOT, EnergyLocation, EnergySource - -from .logger import log - -DEFAULT_LOCATION_CONFIG = f"{ACT_ROOT}/models/carbon_intensity/location.yaml" -DEFAULT_SOURCE_CONFIG = f"{ACT_ROOT}/models/carbon_intensity/source.yaml" - - -def load_ci_model( - loc_ci_config=DEFAULT_LOCATION_CONFIG, src_ci_config=DEFAULT_SOURCE_CONFIG -): - """ - Load the carbon intensity model for the fab. Shared by the logic and OPERATION models. - - Args: - loc_ci_config (str): The location configuration file path. Defaults to DEFAULT_LOCATION_CONFIG. - src_ci_config (str): The source configuration file path. Defaults to DEFAULT_SOURCE_CONFIG. - - Returns: - dict: A dictionary mapping EnergyLocation or EnergySource to carbon intensity. - """ - ci_model = {} - with open(loc_ci_config) as f: - loc_model = yaml.load(f, Loader=yaml.FullLoader) - loc_model = {EnergyLocation(k): units(v) for k, v in loc_model.items()} - ci_model.update(loc_model) - - with open(src_ci_config) as f: - src_model = yaml.load(f, Loader=yaml.FullLoader) - src_model = {EnergySource(k): units(v) for k, v in src_model.items()} - ci_model.update(src_model) - - return ci_model - - -DEFAULT_DEFECT_DENSITY = 0.15 / cm2 - - -# Yield utility arg check function -def check_args(area, density): - """ - Check if the provided area and density have the correct units. - - Args: - area: The area to check. - density: The density to check. - - Raises: - SystemExit: If the area or density have incorrect units. - """ - if not area.check(mm2): - log.error(f"Yield area must have area units. Got {area}") - exit(-1) - if not density.check(1 / mm2): - log.error(f"Yield defect density must have units of 1 / area. Got {density}") - exit(-1) - - -# Fabrication yield models transcribed from https://www.eesemi.com/test-yield-models.htm -def poisson_model(area, density): - """ - Calculate the die yield using the Poisson model. - - Args: - area: The area of the die. - density: The defect density. - - Returns: - float: The die yield. - """ - check_args(area, density) - die_yield = math.e(-area * density) - return die_yield - - -class Distribution(Enum): - """ - Enum representing different distribution types. - """ - - TRIANGLE = auto() - RECT = auto() - - -def murphy_model(area, density, dist=Distribution.TRIANGLE): - """ - Calculate the die yield using the Murphy model. - - Args: - area: The area of the die. - density: The defect density. - dist (Distribution): The distribution type. Defaults to Distribution.TRIANGLE. - - Returns: - float: The die yield. - """ - check_args(area, density) - _dist = Distribution(dist) - if _dist == Distribution.TRIANGLE: - die_yield = (1 - math.e(-area * density) / (area * density)) ** 2 - else: - die_yield = (1 - math.e(-2 * area * density)) / (2 * area * density) - return die_yield - - -def exponential_model(area, density): - """ - Calculate the die yield using the exponential model. - - Args: - area: The area of the die. - density: The defect density. - - Returns: - float: The die yield. - """ - check_args(area, density) - die_yield = 1 / (1 + area * density) - return die_yield diff --git a/act/models/logic/imec-netzero-cpa.yaml b/act/models/logic/imec-netzero-cpa.yaml deleted file mode 100644 index 57dfc7c..0000000 --- a/act/models/logic/imec-netzero-cpa.yaml +++ /dev/null @@ -1,8 +0,0 @@ -# pubicly available carbon per wafer from imec.netzero database -"28nm" : 0.91 kg -"20nm" : 0.91 kg -"14nm" : 0.97 kg -"10nm" : 1.09 kg -"7nm" : 1.44 kg -"5nm" : 1.54 kg -"3nm" : 1.75 kg diff --git a/act/models/materials/materials.yaml b/act/models/materials/materials.yaml deleted file mode 100644 index 6b532fb..0000000 --- a/act/models/materials/materials.yaml +++ /dev/null @@ -1,7 +0,0 @@ -name: Materials Carbon Intensity Model -materials: - # from https://worldsteel.org/climate-action/climate-change-and-the-production-of-iron-and-steel/ - steel: 1.89 kg / kg - - # from https://international-aluminium.org/landing/as-well-as-aluminium-recycling-saving-95-of-the-energy-needed-for-primary-aluminium-production-the-recycling-process-saves-a-similar-percentage-in-greenhouse-gas-emissions/ - alumnimum: 15.1 kg / kg diff --git a/act/models/ssd/ssd_hynix.yaml b/act/models/ssd/ssd_hynix.yaml deleted file mode 100644 index 934f5da..0000000 --- a/act/models/ssd/ssd_hynix.yaml +++ /dev/null @@ -1,6 +0,0 @@ -# SSD carbon emissions per unit storage - E_SSD in Table 1 -"nand_30nm": 31 g / GB -"nand_20nm": 15 g / GB -"nand_10nm": 10 g / GB -"nand_tlc_1z": 5.6 g / GB -"nand_tlc_v3": 6.3 g / GB diff --git a/act/models/ssd/ssd_seagate.yaml b/act/models/ssd/ssd_seagate.yaml deleted file mode 100644 index 6abe579..0000000 --- a/act/models/ssd/ssd_seagate.yaml +++ /dev/null @@ -1,4 +0,0 @@ -# SSD carbon emissions per unit storage - E_SSD in Table 1 -"seagate_nytro_3530": 6.21 g / GB -"seagate_nytro_1551": 3.948 g / GB -"seagate_nytro_3331": 16.916 g / GB diff --git a/act/tests/act_model_tests.py b/act/tests/act_model_tests.py deleted file mode 100644 index 8338c33..0000000 --- a/act/tests/act_model_tests.py +++ /dev/null @@ -1,100 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from ..act_model import ACTModel -from ..core.carbon import SourceType -from ..core.common import * - -from .base_test_case import BaseTestCase -from ..core.units import * -import copy -import glob - -import yaml - -from ..core.bom import BOM - -from ..core.logger import log - - -class ACTModelTests(BaseTestCase): - """Integration tests over the top level ACT model class""" - - def setUp(self): - super().setUp() - - def test_act_model(self): - """Basic ACT model coverage and checks""" - act_model = ACTModel() - file = f"{self.test_dir}/../boms/test.yaml" - with open(file) as handle: - bom = BOM( - **yaml.load(handle, Loader=yaml.FullLoader), - file=file, - material_type=act_model.materials_model.MaterialType, - ) - - carbon = act_model.get_carbon( - bom=bom, - op_power=100 * mW, - duty_cycle=1.0, - ) - self.assertTrue(carbon.total().check(g)) - - mlist = act_model.last_bom - - # check that the resulting materials list specifications match - logic_dut = mlist.silicon["dut"] - self.assertEqual(logic_dut.area, 10 * mm2) - self.assertEqual(logic_dut.fab_yield, 0.87) - self.assertEqual(logic_dut.process, LogicProcess.N14) - - dram_dut = mlist.silicon["dram"] - self.assertEqual(dram_dut.capacity, 1 * GB) - self.assertEqual(dram_dut.fab_yield, 0.9) - self.assertEqual(dram_dut.process, DRAMProcess.DDR4_10NM) - - ssd_dut = mlist.silicon["ssd"] - self.assertEqual(ssd_dut.capacity, 2 * TB) - self.assertEqual(ssd_dut.fab_yield, 0.88) - self.assertEqual(ssd_dut.process, SSDProcess.NAND_10NM) - - hdd_dut = mlist.silicon["hdd"] - self.assertEqual(hdd_dut.capacity, 1 * TB) - self.assertEqual(hdd_dut.fab_yield, 0.92) - self.assertEqual(hdd_dut.process, HDDProcess.BARRACUDA) - - # check the carbon component composition returns non-zero for components that generate a footprint - expected_stypes = [ - SourceType.OPERATION, - SourceType.FABRICATION, - SourceType.PASSIVES, - ] - for stype in expected_stypes: - self.assertTrue(stype in carbon.carbon_by_type.keys()) - self.assertGreater(carbon.partial(stype), 0 * g) - - def test_default_args(self): - """Test that the minimal default args work as intended""" - self.run_act() - - def test_cl_args(self): - """Coverage over basic command line argument run of ACT""" - self.test_args.extend( - f"--logic-area 145mm2 --dram-size 1GB --ssd-size 2TB --hdd-size 4TB --duty-cycle 0.7 --lifetime 2years --fab-ci taiwan --cap-ci korea --op-ci usa --logic-process 14 --dram-process ddr4_10nm --ssd-process nand_10nm --hdd-process BarraCuda --loglevel info --gpa 99 --logic-yield 0.9 --dram-yield 0.85 --ssd-yield 0.89 --hdd-yield 0.95 --op-power 100mW --ics 1 --caps 1 --pcb-area 100mm2 --export-file {self.out_dir}/test_result.yaml".split() - ) - self.run_act() - - def test_bom_coverage_test(self): - """Glob and test all materials files in the BOM directory""" - boms = glob.glob(f"{self.test_dir}/../boms/**/*.yaml", recursive=True) - self.assertGreater(len(boms), 0) # make sure at least one is detected - - base_args = copy.deepcopy(self.test_args) - for bom in boms: - log.info(f"Testing {bom}...") - self.test_args = copy.deepcopy(base_args) - self.test_args.extend(f"-m {bom}".split()) - self.run_act() diff --git a/act/tests/base_test_case.py b/act/tests/base_test_case.py deleted file mode 100644 index 9c7eee2..0000000 --- a/act/tests/base_test_case.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import logging -import os - -import sys -import tempfile -import unittest -from unittest.mock import patch - -from ..act_model import main - -from ..core.logger import setup_logger -from ..core.common import * -import warnings - -from ..act_model import ACTModel - -warnings.simplefilter("ignore", ResourceWarning) - - -class BaseTestCase(unittest.TestCase): - def setUp(self): - # temp_dir for tests - self.temp_dir = tempfile.TemporaryDirectory(prefix="act_out_") - self.out_dir = self.temp_dir.name - - self.test_dir = os.path.abspath(os.path.dirname(__file__)) - self.test_args = ["./act"] - self.boms_dir = f"{self.test_dir}/../boms/" - - self.gpa = AbatementLevel.GPA95 - self.fab_ci = EnergyLocation.TAIWAN - self.act_model = ACTModel() - - setup_logger(loglevel=logging.INFO) - - def run_act(self, loglevel=logging.INFO): - setup_logger(loglevel=loglevel) - with patch.object(sys, "argv", self.test_args): - return main() diff --git a/act/tests/basic_tests.py b/act/tests/basic_tests.py deleted file mode 100644 index b47be3d..0000000 --- a/act/tests/basic_tests.py +++ /dev/null @@ -1,122 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from ..core.common import * -from ..core.dram_model import DRAMModel -from ..core.hdd_model import HDDModel -from ..core.logic_model import LogicModel -from ..core.materials_model import MaterialsModel -from ..core.ssd_model import SSDModel - -from .base_test_case import BaseTestCase -from ..core.units import * -from ..core.carbon import Carbon, SourceType - - -class BasicACTTests(BaseTestCase): - """Ensures that the original ACT functionality is preserved based on the input/output pairs""" - - def test_default_logic_model(self): - """Ensure that the default ACT model logic results are preserved""" - logic_model = LogicModel() - - tp = LogicProcess.N14 - self.assertAlmostEqual( - logic_model.get_cpa(logic_process=tp), - 1556.685714285714 * g / cm2, - ) - self.assertEqual( - logic_model.get_carbon_energy(logic_process=tp), - 699.6 * g / cm2, - ) - self.assertEqual(logic_model.get_carbon_gas(logic_process=tp), 162.5 * g / cm2) - self.assertEqual(logic_model.get_carbon_materials(tp), 500 * g / cm2) - - def test_logic_model_integration(self): - """Ensure that the default configuration that is fed by default to ACT does not change""" - tp = LogicProcess.N10 - gpa = AbatementLevel.GPA95 - fab_ci = EnergySource.COAL - logic_model = LogicModel() - - self.assertEqual( - logic_model.get_cpa(gpa=gpa, fab_ci=fab_ci, logic_process=tp), - 2228.0 * g / cm2, - ) - self.assertEqual( - logic_model.get_carbon_energy(fab_ci=fab_ci, logic_process=tp), - 1209.5 * g / cm2, - ) - self.assertEqual( - logic_model.get_carbon_gas(gpa=gpa, logic_process=tp), 240 * g / cm2 - ) - self.assertEqual(logic_model.get_carbon_materials(tp), 500 * g / cm2) - - def test_basic_dram_model(self): - """Ensure original DRAM model results remain consistent""" - dram_model = DRAMModel() - tp = DRAMProcess.DDR4_10NM - carbon_cost = dram_model.get_carbon(process=tp, capacity=3 * GB) - - self.assertEqual(carbon_cost.total(), 222.8571428571429 * g) - - def test_basic_hdd_model(self): - """Ensure original HDD model results remain consistent""" - hdd_model = HDDModel() - hp = HDDProcess.BARRACUDA - capacity = 3 * GB - fab_yield = 1.0 # the original model doesn't properly account for yield - - carbon_cost = hdd_model.get_carbon(hp, capacity, fab_yield) - cpg = hdd_model.get_cpg( - hp, fab_yield - ) # the original HDD model doesn't have a yield - - self.assertAlmostEqual(cpg, 4.57 * g / GB) - self.assertAlmostEqual(carbon_cost.total(), 13.71 * g) - - def test_basic_ssd_model(self): - """Ensure SSD model loads and runs correctly""" - fab_yield = 0.9 - ssd_model = SSDModel() - ssd_process = SSDProcess.NAND_10NM - - ssd_carbon = ssd_model.get_carbon( - process=ssd_process, capacity=3 * GB, fab_yield=fab_yield - ) - ssd_cpg = ssd_model.get_cpg(process=ssd_process, fab_yield=fab_yield) - self.assertAlmostEqual(ssd_cpg, 10 * g / GB / fab_yield) - self.assertAlmostEqual(ssd_carbon.total(), 30 * g / fab_yield) - - def test_basic_materials_model(self): - """Basic coverage over materials model""" - model = MaterialsModel() - for m in model.MaterialType: - if m is not model.MaterialType.NA: - c = model.get_carbon(m, 100 * g) - self.assertTrue(SourceType.ENCLOSURE in c.carbon_by_type.keys()) - - def test_carbon_result(self): - """Coverage over carbon component tracking results""" - x = Carbon(100 * g, SourceType.FABRICATION) - y = Carbon(50 * g, SourceType.MATERIALS) - z = Carbon(75 * g, SourceType.OPERATION) - w = Carbon(32 * g, SourceType.MATERIALS) - - # check add operation over results - radd = w + y - self.assertEqual(radd.total(), 82 * g) - - # check subtract operation over results - rsub = y - w - self.assertEqual(rsub.total(), 18 * g) - - # check component partials - wxyz = w + x + y + z - self.assertEqual(wxyz.total(), 257 * g) - self.assertEqual(wxyz.partial(SourceType.FABRICATION), 100 * g) - self.assertEqual(wxyz.partial(SourceType.MATERIALS), 82 * g) - self.assertEqual(wxyz.partial(SourceType.OPERATION), 75 * g) - self.assertEqual(wxyz.partial(SourceType.PACKAGING), 0 * g) diff --git a/act/tests/integration_tests.py b/act/tests/integration_tests.py deleted file mode 100644 index d00258c..0000000 --- a/act/tests/integration_tests.py +++ /dev/null @@ -1,79 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from ..core.common import CARBON_PER_IC_PACKAGE -from ..core.units import kg - -from .base_test_case import BaseTestCase - - -class IntegrationTest(BaseTestCase): - def setUp(self): - super().setUp() - - def _filtered_total(self, prefix, results): - total = 0 * kg - entries = 0 - for sname, carbon in results.items(): - if sname.startswith(prefix): - total += carbon.total() - entries += 1 - return total - - def test_dellr740(self): - """Ensure that the dell R740 results preserve the original ACT model results as closely as possible""" - self.test_args.extend(f"-m {self.boms_dir}/dellr740.yaml".split()) - act = self.run_act() - - silicon_results = act.silicon_results - cpu_total = self._filtered_total("cpu", silicon_results) - ssd_secondary_total = self._filtered_total("ssd.secondary", silicon_results) - ssd_main_total = self._filtered_total("ssd.main", silicon_results) - dram_total = self._filtered_total("dram.main", silicon_results) - - # check CPU carbon emissions total - # weak bound due to some possible floating point error between the original and updated - self.assertAlmostEqual(cpu_total, 23.143405714285716 * kg, places=0) - - # the amount emitted in the original model does not include DRAM IC packaging (n = 19) - self.assertAlmostEqual( - ssd_secondary_total, 62.75 * kg + 19 * CARBON_PER_IC_PACKAGE - ) - - # check that the per SSD costs are the same as in the original per SSD - self.assertAlmostEqual(ssd_main_total, 8 * (136.0457142857143 + 1.95) * kg) - - # check DRAM costs total - self.assertAlmostEqual(dram_total, 330.4285714285714 * kg) - - def test_fairphone3(self): - """Ensure that the fairphone3 model aligns with the original results as closely as possible to ensure no regression""" - self.test_args.extend(f"-m {self.boms_dir}/fairphone3.yaml".split()) - act = self.run_act() - - silicon_results = act.silicon_results - - # ensure expected number of devices appear - self.assertEqual(len(silicon_results), 23) - dram_flash_carbon = ( - silicon_results["dram"].total() + silicon_results["ssd"].total() - ) - self.assertAlmostEqual(dram_flash_carbon, 5.310285714285714 * kg) - - cpu_carbon = silicon_results["cpu"].total() - self.assertAlmostEqual(cpu_carbon, 0.8992937142857143 * kg) - - ic_carbon = self._filtered_total("ics", silicon_results) - self.assertAlmostEqual(ic_carbon, 5.691643885714286 * kg) - - def test_bom_import(self): - """Test that importing a file works as expected""" - self.test_args.extend(f"-m {self.boms_dir}/test.yaml".split()) - act = self.run_act() - - # ensure the imported devices appear in the result - self.assertTrue("subsystem.imported_cap" in act.passives_results) - self.assertTrue("subsystem.imported_si" in act.silicon_results) - self.assertTrue("subsystem.imported_mat" in act.materials_results) diff --git a/act/tests/model_coverage_tests.py b/act/tests/model_coverage_tests.py deleted file mode 100644 index fb3f55a..0000000 --- a/act/tests/model_coverage_tests.py +++ /dev/null @@ -1,82 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from ..core.capacitor_model import CapacitorModel, CapacitorType -from ..core.dram_model import DRAMModel -from ..core.hdd_model import HDDModel - -from ..core.logic_model import LogicModel -from ..core.ssd_model import SSDModel - -from .base_test_case import BaseTestCase -from ..core.common import * -from ..core.units import mm2 - - -class ModelCoverageTests(BaseTestCase): - def setUp(self): - super().setUp() - - def test_logic_coverage(self): - """Check that all model values properly load across each parameter range""" - - model = LogicModel() - valid_processes = [ - LogicProcess.N28, - LogicProcess.N20, - LogicProcess.N14, - LogicProcess.N10, - LogicProcess.N8, - LogicProcess.N7, - LogicProcess.N5, - LogicProcess.N3, - ] - - for lp in valid_processes: - for gpa in AbatementLevel: - for ci in EnergyLocation: - model.get_carbon( - logic_process=lp, - area=2 * mm2, - fab_yield=0.87, - gpa=gpa, - fab_ci=ci, - ) - for ci in EnergySource: - model.get_carbon( - logic_process=lp, - area=2 * mm2, - fab_yield=0.87, - gpa=gpa, - fab_ci=ci, - ) - - def test_dram_coverage(self): - """Check that all model values properly load across parameter range""" - model = DRAMModel() - for dp in DRAMProcess: - if dp is DRAMProcess.NA: - continue - model.get_carbon(capacity=1 * GB, process=dp) - - def test_ssd_coverage(self): - """Check that all SSD model values properly run""" - ssd_model = SSDModel() - for sp in SSDProcess: - if sp is SSDProcess.NA: - continue - ssd_model.get_carbon(process=sp, capacity=3 * GB) - - def test_hdd_coverage(self): - model = HDDModel() - for hp in HDDProcess: - if hp is HDDProcess.NA: - continue - model.get_carbon(process=hp, capacity=1 * GB) - - def test_capacitor_coverage(self): - model = CapacitorModel() - for cp in CapacitorType: - model.get_carbon(ctype=cp, weight=0.03 * g, n_caps=2) diff --git a/act/tests/model_unit_tests.py b/act/tests/model_unit_tests.py deleted file mode 100644 index de5c4cf..0000000 --- a/act/tests/model_unit_tests.py +++ /dev/null @@ -1,175 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -from .base_test_case import BaseTestCase -from ..core.common import * -from ..core.capacitor_model import ( - CapacitorModel, - CapacitorType, - DEFAULT_CARBON_PER_CAPACITOR, -) -from ..core.carbon import SourceType -from ..core.units import * -from ..core.battery_model import BatteryModel -from ..core.common import EnergyLocation -from ..core.dram_model import DRAMModel -from ..core.hdd_model import HDDModel -from ..core.materials_model import MaterialsModel -from ..core.pcb_model import PCBModel -from ..core.ssd_model import SSDModel - - -class ModelUnitTests(BaseTestCase): - """Unit tests over carbon models""" - - def setUp(self): - super().setUp() - - def test_logic_model(self): - """Basic unit to spot check the logic carbon calculation result""" - fab_yield = 0.943543 - area = 145 * mm2 - result = self.act_model.logic_model.get_carbon( - fab_yield=fab_yield, - area=area, - logic_process=LogicProcess.N10, - n_ics=1, - gpa=self.gpa, - fab_ci=self.fab_ci, - ) - - # ensure manually calculated value is correct - expected = ( - 1.475 * kWh / cm2 * area * 583 * g / kWh - + 240 * g / cm2 * area - + 500 * g / cm2 * area - ) / fab_yield + 150 * g - self.assertEqual( - set(result.types()), {SourceType.FABRICATION, SourceType.PACKAGING} - ) - self.assertAlmostEqual(result.partial(SourceType.PACKAGING), 150 * g) - self.assertAlmostEqual(result.total(), expected) - - def test_storage_models(self): - """Basic unit tests over storage models""" - - dram_model = DRAMModel() - ssd_model = SSDModel() - hdd_model = HDDModel() - fab_yield = 0.9 - n_ics = 2 - - capacity = 10 * GB - common_args = dict(capacity=capacity, n_ics=n_ics, fab_yield=fab_yield) - expected_ctypes = {SourceType.FABRICATION, SourceType.PACKAGING} - pkg_partial = 150 * g * n_ics - - def _check_results(result, expected): - self.assertAlmostEqual(result.total(), expected) - self.assertEqual(set(result.types()), expected_ctypes) - self.assertAlmostEqual(result.partial(SourceType.PACKAGING), pkg_partial) - - # test DRAM model - result = dram_model.get_carbon(DRAMProcess.DDR3_30NM, **common_args) - expected = (230 * g / GB * capacity / fab_yield) + 150 * g * n_ics - _check_results(result, expected) - - # test SSD model - result = ssd_model.get_carbon(SSDProcess.NAND_30NM, **common_args) - expected = (31 * g / GB * capacity / fab_yield) + 150 * g * n_ics - _check_results(result, expected) - - # test HDD model - result = hdd_model.get_carbon(HDDProcess.BARRACUDA, **common_args) - expected = (4.57 * g / GB * capacity / fab_yield) + 150 * g * n_ics - _check_results(result, expected) - - def test_op_model(self): - """Basic unit test over operational carbon model""" - lifetime = 3.5 * year - duty_cycle = 0.723 - op_power = 273 * mW - op_ci = EnergyLocation.AUSTRALIA - - op_carbon = self.act_model.op_model.get_carbon( - lifetime=lifetime, duty_cycle=duty_cycle, op_power=op_power, op_ci=op_ci - ) - - # manually calculate expected - expected = 597 * g / kWh * op_power * duty_cycle * lifetime - self.assertEqual(op_carbon.types(), [SourceType.OPERATION]) - self.assertAlmostEqual(expected, op_carbon.total()) - - def test_capacitor_model(self): - model = CapacitorModel() - ci = EnergyLocation.JAPAN - ctype = CapacitorType.GENERIC - weight = 1.0 * kg - n_caps = 2 - - # test the generic capacitor model - carbon = model.get_carbon(ci=ci, ctype=ctype, weight=weight, n_caps=n_caps) - expected_carbon = DEFAULT_CARBON_PER_CAPACITOR * n_caps - self.assertEqual(carbon.total(), expected_carbon) - self.assertEqual(carbon.types(), [SourceType.PASSIVES]) - - # test the MLCC model - carbon = model.get_carbon( - ci=ci, ctype=CapacitorType.MLCC, weight=weight, n_caps=n_caps - ) - expected_carbon = 6862 * MJ / kg * weight * 485 * g / kWh * n_caps - self.assertAlmostEqual(carbon.total(), expected_carbon) - self.assertEqual(carbon.types(), [SourceType.PASSIVES]) - - # test the TEC model - carbon = model.get_carbon( - ci=ci, - ctype=CapacitorType.TEC, - weight=weight, - n_caps=n_caps, - ) - expected_carbon = 5567 * MJ / kg * weight * 485 * g / kWh * n_caps - self.assertAlmostEqual(carbon.total(), expected_carbon) - self.assertEqual(carbon.types(), [SourceType.PASSIVES]) - - def test_materials_model(self): - """Basic materials model test""" - model = MaterialsModel() - - mat = model.MaterialType.STEEL - weight = 0.25 * kg - carbon = model.get_carbon(mat=mat, weight=weight) - expected_carbon = weight * 1.89 # manually calculate - self.assertAlmostEqual(expected_carbon, carbon.total()) - self.assertEqual(carbon.types(), [SourceType.ENCLOSURE]) - - def test_battery_model(self): - """Basic battery model test""" - model = BatteryModel() - capacity = 1000 * mWh - carbon = model.get_carbon(capacity=capacity) - expected_carbon = 87 * kg / kWh * capacity - self.assertAlmostEqual(expected_carbon, carbon.total()) - self.assertEqual(carbon.types(), [SourceType.FABRICATION]) - - def test_pcb_model(self): - """Basic PCB model test""" - model = PCBModel() - - # test a case where the value exists in the file - area = 1.5 * cm2 - layers = 4 - result = model.get_carbon(area=area, layers=layers) - expected = 0.43 * kg / m2 * area - self.assertAlmostEqual(result.total(), expected) - self.assertEqual(result.types(), [SourceType.FABRICATION]) - - # test an interpolated test case - area = 2.5 * cm2 - layers = 7 - result = model.get_carbon(area=area, layers=layers) - expected = 0.13 * kg / m2 * layers * area - self.assertAlmostEqual(result.total(), expected) - self.assertEqual(result.types(), [SourceType.FABRICATION]) diff --git a/assets/README.md b/assets/README.md new file mode 100644 index 0000000..c0d42cd --- /dev/null +++ b/assets/README.md @@ -0,0 +1,29 @@ +# Power Technology Scale Factors + +Constructs a power technology scaling model based on publicly available information. +Information on the relatively power scaling between processes and there are several variations across each process node. +It should also be noted that in reality the power will scale depending on the power composition between leakage, dynamic, memory, etc. +As a result, the accuracy of the scale factors projections here should be treated appropriately as a first order model which to illustrate carbon emissions trends should be sufficient. + +For processes where scale factors are not publicly available, the power scaling at iso-performance is assumed conservatively to be 0.8. +We use TSMC processes to build the model so there are some technology nodes from other foundries which will lie outside the TSMC process geometries. +Since ascertaining the power scaling factors between different foundry processes is difficult, we assume that roughly equivalent generation technology processes have the scale scale factors (ex., TSMC16 = GF14). + +Source data and assumptions for technology scaling factors: +* TSMC N65 -> TSMC N40: https://pr.tsmc.com/english/news/1526 +* TSMC N45 -> TSMC N40: https://pr.tsmc.com/english/news/1526 +* TSMC N40 -> TSMC N28: Assume 0.8 since no publicly available data +* TSMC N28 -> TSMC N20: https://semiwiki.com/forum/threads/tsmc-20nm-specifications-are-up.1732/#:~:text=Admin.%20TSMC's%2020nm%20process%20technology%20is%2030,tablets%20and%20smartphones%20to%20desktops%20and%20servers. +* TSMC N20 -> TSMC N16: https://www.tsmc.com/english/dedicatedFoundry/technology/logic/l_16_12nm#:~:text=TSMC's%2016/12nm%20processes%20provide,to%20TSMC's%2020nm%20SoC%20process. +* TSMC N16 -> N14: TSMC does not have a 14nm logic node. So approximate as roughly the same as TSMC16 even though this is technically not precise. +* TSMC N16 -> TSMC N7: https://en.wikichip.org/wiki/7_nm_lithography_process#:~:text=N7%5Bedit%5D%20TSMC%20original%207%2Dnanometer%20N7%20process%20was,~20%25%20speed%20improvement%20or%20~40%25%20power%20reduction. +* TSMC N10 -> TSMC N7: https://en.wikichip.org/wiki/7_nm_lithography_process#:~:text=N7%5Bedit%5D%20TSMC%20original%207%2Dnanometer%20N7%20process%20was,~20%25%20speed%20improvement%20or%20~40%25%20power%20reduction. +* TSMC7 -> N8: TSMC does not have a 8nm logic node. So approximate as roughly the same as TSMC7 even though this is technically not precise. +* TSMC7 -> TSMC7_EUV: Assume a conservative improvement based on the article of 0.85 - https://pr.tsmc.com/english/news/2010 +* TSMC N7 -> TSMC N5: https://www.tomshardware.com/news/tsmc-5nm-4nm-3nm-process-node-introduces-3dfabric-technology#:~:text=TSMC's%205nm%20'N5'%20process%20employs,rates%20quicker%20than%20its%20predecessor. +* TSMC N5 -> TSMC N3: https://www.tsmc.com/english/dedicatedFoundry/technology/platform_smartphone_tech_advancedTech#:~:text=N3E%20is%20an%20optimized%203nm,an%20optical%20shrink%20of%20N3E. +* TSMC N3 -> TSMC N2: https://www.tsmc.com/english/dedicatedFoundry/technology/platform_smartphone_tech_advancedTech#:~:text=N3E%20is%20an%20optimized%203nm,an%20optical%20shrink%20of%20N3E. +* TSMC N2 -> TSMC A14: https://www.tomshardware.com/tech-industry/tsmc-unveils-1-4nm-technology-2nd-gen-gaa-transistors-full-node-advantages-coming-in-2028 +* TSMC A14 -> TSMC A10: No data yet so assume 0.8 scale factor. + +From the available sparse scaling data, we compute the densified scale factors between all technology nodes for power projections. diff --git a/assets/full_scale_factors.csv b/assets/full_scale_factors.csv new file mode 100644 index 0000000..528ebc1 --- /dev/null +++ b/assets/full_scale_factors.csv @@ -0,0 +1,17 @@ +,65nm,45nm,40nm,28nm,20nm,16nm,14nm,10nm,8nm,7nm,7nm_EUV,5nm,3nm,2nm,14a,10a +65nm,1.0,0.6470588235,0.55,0.44000000000000006,0.33000000000000007,0.19800000000000004,0.19800000000000004,0.15840000000000004,0.08910000000000001,0.08910000000000001,0.07573500000000001,0.062370000000000016,0.04365900000000001,0.027941760000000006,0.020956320000000007,0.016765056000000007 +45nm,1.5454545455247934,1.0,0.85,0.6799999999999999,0.51,0.306,0.306,0.2448,0.1377,0.1377,0.11704499999999998,0.09638999999999999,0.06747299999999999,0.043182719999999994,0.03238704,0.025909632 +40nm,1.8181818181818181,1.1764705882352942,1.0,0.8,0.6000000000000001,0.36000000000000004,0.36000000000000004,0.28800000000000003,0.162,0.162,0.1377,0.1134,0.07937999999999999,0.05080319999999999,0.038102399999999995,0.030481919999999996 +28nm,2.2727272727272725,1.4705882352941178,1.25,1.0,0.75,0.44999999999999996,0.44999999999999996,0.36,0.20249999999999999,0.20249999999999999,0.17212499999999997,0.14175,0.099225,0.06350399999999999,0.047628,0.038102399999999995 +20nm,3.03030303030303,1.9607843137254903,1.6666666666666667,1.3333333333333333,1.0,0.6,0.6,0.48,0.26999999999999996,0.26999999999999996,0.22949999999999995,0.18899999999999997,0.13229999999999997,0.08467199999999998,0.06350399999999999,0.05080319999999999 +16nm,5.05050505050505,3.2679738562091507,2.777777777777778,2.2222222222222223,1.6666666666666667,1.0,1.0,0.8,0.45,0.45,0.3825,0.31500000000000006,0.22050000000000003,0.14112000000000002,0.10584000000000002,0.08467200000000001 +14nm,5.05050505050505,3.2679738562091507,2.777777777777778,2.2222222222222223,1.6666666666666667,1.0,1.0,0.8,0.45,0.45,0.3825,0.31500000000000006,0.22050000000000003,0.14112000000000002,0.10584000000000002,0.08467200000000001 +10nm,6.313131313131313,4.0849673202614385,3.4722222222222228,2.777777777777778,2.0833333333333335,1.25,1.25,1.0,0.5625,0.6,0.51,0.42000000000000004,0.29400000000000004,0.18816000000000002,0.14112000000000002,0.11289600000000002 +8nm,11.22334455667789,7.262164124909225,6.17283950617284,4.938271604938272,3.703703703703704,2.2222222222222223,2.2222222222222223,1.777777777777778,1.0,1.0,0.85,0.7,0.48999999999999994,0.31359999999999993,0.23519999999999996,0.18815999999999997 +7nm,11.22334455667789,7.262164124909225,6.17283950617284,4.938271604938272,3.703703703703704,2.2222222222222223,2.2222222222222223,1.6666666666666667,1.0,1.0,0.85,0.7,0.48999999999999994,0.31359999999999993,0.23519999999999996,0.18815999999999997 +7nm_EUV,13.203934772562224,8.543722499893205,7.262164124909224,5.809731299927379,4.357298474945535,2.6143790849673207,2.6143790849673207,2.0915032679738568,1.1764705882352944,1.1764705882352942,1.0,0.8235294117647058,0.5764705882352941,0.3689411764705882,0.2767058823529412,0.22136470588235296 +5nm,16.0333493666827,10.374520178441747,8.818342151675484,7.054673721340388,5.291005291005291,3.1746031746031744,3.1746031746031744,2.5396825396825395,1.4285714285714286,1.4285714285714286,1.2142857142857142,1.0,0.7,0.44799999999999995,0.33599999999999997,0.2688 +3nm,22.904784809546715,14.820743112059638,12.597631645250692,10.078105316200553,7.5585789871504145,4.5351473922902485,4.5351473922902485,3.628117913832199,2.0408163265306123,2.0408163265306123,1.7346938775510203,1.4285714285714286,1.0,0.64,0.48000000000000004,0.384 +2nm,35.78872626491674,23.157411112593184,19.683799445704206,15.747039556563365,11.810279667422524,7.086167800453514,7.086167800453514,5.668934240362811,3.188775510204082,3.188775510204082,2.7104591836734695,2.232142857142857,1.5625,1.0,0.75,0.6 +14a,47.71830168655565,30.876548150124243,26.245065927605605,20.996052742084483,15.747039556563363,9.448223733938018,9.448223733938018,7.5585789871504145,4.2517006802721085,4.2517006802721085,3.613945578231292,2.976190476190476,2.083333333333333,1.3333333333333333,1.0,0.8 +10a,59.647877108194564,38.595685187655306,32.80633240950701,26.245065927605605,19.683799445704206,11.810279667422524,11.810279667422524,9.448223733938018,5.314625850340136,5.314625850340136,4.517431972789115,3.7202380952380953,2.6041666666666665,1.6666666666666665,1.25,1.0 diff --git a/assets/sparse_scaling_data.csv b/assets/sparse_scaling_data.csv new file mode 100644 index 0000000..e8a2ee3 --- /dev/null +++ b/assets/sparse_scaling_data.csv @@ -0,0 +1,19 @@ +Iso-Performance Technology Scaling Factors based on Public Sources,,,,,,,,,,,,,,,,, +,,Destination Tech Node,,,,,,,,,,,,,,, +Source Tech Node,,65nm,45nm,40nm,28nm,20nm,16nm,14nm,10nm,8nm,7nm,7nm_EUV,5nm,3nm,2nm,14a,10 +,65nm,1,0.6470588235,0.55,,,,,,,,,,,,, +,45nm,,1,0.85,,,,,,,,,,,,, +,40nm,,,1,0.8,,,,,,,,,,,, +,28nm,,,,1,0.75,,,,,,,,,,, +,20nm,,,,,1,0.6,,,,,,,,,, +,16nm,,,,,,1,1,0.8,,0.45,,,,,, +,14nm,,,,,,,1,,,,,,,,, +,10nm,,,,,,,,1,,0.6,,,,,, +,8nm,,,,,,,,,1,1,,,,,, +,7nm,,,,,,,,,,1,0.85,0.7,,,, +,7nm_EUV,,,,,,,,,,,1,,,,, +,5nm,,,,,,,,,,,,1,0.7,,, +,3nm,,,,,,,,,,,,,1,0.64,, +,2nm,,,,,,,,,,,,,,1,0.75, +,14a,,,,,,,,,,,,,,,1,0.8 +,10a,,,,,,,,,,,,,,,,1 \ No newline at end of file diff --git a/act/boms/fairphone3.yaml b/boms/samples/fairphone3.yaml similarity index 97% rename from act/boms/fairphone3.yaml rename to boms/samples/fairphone3.yaml index 2fe3351..04acf3a 100644 --- a/act/boms/fairphone3.yaml +++ b/boms/samples/fairphone3.yaml @@ -1,6 +1,6 @@ name: Fairphone Model description: Fairphone bill of materials model -silicon: +devices: # main architectural resources cpu: area: 46.4 mm2 @@ -10,13 +10,13 @@ silicon: n_ics: 1 dram: model: dram - capacity: 4 GB + size: 4 GB process: ddr3_50nm fab_yield: 0.875 n_ics: 1 ssd: model: flash - capacity: 64 GB + size: 64 GB process: nand_30nm fab_yield: 0.875 n_ics: 1 diff --git a/boms/samples/manual.xlsx b/boms/samples/manual.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..652a34a2af4ec52c26a0a35f5e3e4a0a633cf395 GIT binary patch literal 12784 zcmeI22V9fOmcRi)s(^q9C{4Q3yHX-jrHP`_2_Q%@^b$Hk5D)|elnxPTD!q3?M|z2f zfFVc~DWO9sVFSLm7u|dByL@Gw_c9N%m_8m|axAwwivh4z(Q9X7p@-ogYKI`+WSzq-DGVUv&BIEJA?vhItKrJ;wB0@832mvk*4&f;r9IgMZDTV(s z<)1Yr*xu=pvz3K~i?hJ-*LSZ(7}>vWr$0Rb>_0SdWNP;A%LOUhroXxRhCxijOC1DC z7c;@F8Q;MB07~Tkq%#LrgD(0a9c@*Oq0=g%&XAn+@>+sqLTiMiGvY=sz$$ONAZqd+V=vJ;;7pc9nB&jk-$G%LaY0HM!{P zTe4$XbhwJyTiTced3s~!8)0!_!H5DTs5D01Zxl2RF!lz!$|h(;Kzxn%mb70X?Qih| z7PpdykhEP%V+UVg&C}C1jxvW16^9G6%Yd$&gQYK3-ih#4w4WVQMC;7P+r61tyX_5> 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/dev/null +++ b/boms/server/dellr740/asics.yaml @@ -0,0 +1,54 @@ +name: ASIC Accelerators Subsystem +description: ASIC accelerators for server configurations +macros: + NUM_ASICS_PER_CPU: 0 + ASIC_FILE: ../mtia/mtia2.yaml +imports: +#if $(NUM_ASICS_PER_CPU) > 0 + asic0: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 1 + asic1: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 2 + asic2: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 3 + asic3: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 4 + asic4: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 5 + asic5: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 6 + asic6: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 7 + asic7: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 8 + asic8: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 9 + asic9: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 10 + asic10: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 11 + asic11: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 12 + asic12: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 13 + asic13: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 14 + asic14: $(ASIC_FILE) +#endif +#if $(NUM_ASICS_PER_CPU) > 15 + asic15: $(ASIC_FILE) +#endif diff --git a/boms/server/dellr740/cpu.yaml b/boms/server/dellr740/cpu.yaml new file mode 100644 index 0000000..5e690e3 --- /dev/null +++ b/boms/server/dellr740/cpu.yaml @@ -0,0 +1,9 @@ +name: CPU device +devices: + cpu: + area: 6.98 cm2 + process: 28nm + n_ics: 2 + fab_yield: 0.875 + gpa: 95 + fab_ci: coal diff --git a/boms/server/dellr740/dram.yaml b/boms/server/dellr740/dram.yaml new file mode 100644 index 0000000..a2a819a --- /dev/null +++ b/boms/server/dellr740/dram.yaml @@ -0,0 +1,7 @@ +name: DRAM device +devices: + dram: + model: dram + process: ddr3_50nm + n_ics: 19 + size: 36 GB diff --git a/boms/server/dellr740/secondary_dram.yaml b/boms/server/dellr740/secondary_dram.yaml new file mode 100644 index 0000000..4ba3532 --- /dev/null +++ b/boms/server/dellr740/secondary_dram.yaml @@ -0,0 +1,8 @@ +name: Secondary DRAM +devices: + dram: + model: dram + process: ddr3_50nm + n_ics: 19 + size: 68 GB + fab_yield: 0.875 diff --git a/boms/server/dellr740/secondary_ssd.yaml b/boms/server/dellr740/secondary_ssd.yaml new file mode 100644 index 0000000..1759fae --- /dev/null +++ b/boms/server/dellr740/secondary_ssd.yaml @@ -0,0 +1,8 @@ +name: Secondary SSD +devices: + ssd: + model: flash + process: nand_30nm + size: 400 GB + n_ics: 13 + fab_yield: 0.875 diff --git a/boms/server/dellr740/ssd.yaml b/boms/server/dellr740/ssd.yaml new file mode 100644 index 0000000..f0cabf6 --- /dev/null +++ b/boms/server/dellr740/ssd.yaml @@ -0,0 +1,7 @@ +name: SSD device definition +devices: + ssd: + model: flash + process: nand_30nm + n_ics: 13 + size: 3840 GB diff --git a/boms/server/dellr740/top.yaml b/boms/server/dellr740/top.yaml new file mode 100644 index 0000000..2babd9f --- /dev/null +++ b/boms/server/dellr740/top.yaml @@ -0,0 +1,109 @@ +name: Dell Power Edge R740 Server Materials Model +description: Materials model for Dell R740 from https://corporate.delltechnologies.com/content/dam/digitalassets/active/en/unauth/data-sheets/products/servers/lca_poweredge_r740.pdf ported from ACT +expected_carbon: 1523137.6914285717 gram +macros: + NUM_CPUS: 2 + NUM_SSDS: 8 + NUM_DRAMS: 12 + ENABLE_SECONDARY_SSD: True + ENABLE_SECONDARY_DRAM: True + CPU_DEVICE: cpu.yaml + SSD_DEVICE: ssd.yaml + DRAM_DEVICE: dram.yaml + NUM_ASICS_PER_CPU: 0 + ASIC_FILE: ../mtia/mtia2.yaml +imports: +# primary CPUs +#if $(NUM_CPUS) > 0 + cpu.main0: $(CPU_DEVICE) +#endif +#if $(NUM_CPUS) > 1 + cpu.main1: $(CPU_DEVICE) +#endif + +# primary SSDs +#if $(NUM_SSDS) > 0 + ssd.main0: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 1 + ssd.main1: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 2 + ssd.main2: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 3 + ssd.main3: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 4 + ssd.main4: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 5 + ssd.main5: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 6 + ssd.main6: $(SSD_DEVICE) +#endif +#if $(NUM_SSDS) > 7 + ssd.main7: $(SSD_DEVICE) +#endif +#if $(ENABLE_SECONDARY_SSD) + ssd.secondary_ssd: secondary_ssd.yaml +#endif +#if $(ENABLE_SECONDARY_DRAM) + ssd.secondary_dram: secondary_dram.yaml +#endif + +# primary DRAM modules +#if $(NUM_DRAMS) > 0 + dram.main0: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 1 + dram.main1: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 2 + dram.main2: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 3 + dram.main3: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 4 + dram.main4: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 5 + dram.main5: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 6 + dram.main6: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 7 + dram.main7: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 8 + dram.main8: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 9 + dram.main9: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 10 + dram.main10: $(DRAM_DEVICE) +#endif +#if $(NUM_DRAMS) > 11 + dram.main11: $(DRAM_DEVICE) +#endif + +#if $(NUM_ASICS_PER_CPU) > 0 +#if $(NUM_CPUS) > 0 + cpu.asics0: + file: asics.yaml + macros: + NUM_ASICS_PER_CPU: $(NUM_ASICS_PER_CPU) + ASIC_FILE: $(ASIC_FILE) +#endif +#if $(NUM_CPUS) > 1 + cpu.asics1: + file: asics.yaml + macros: + NUM_ASICS_PER_CPU: $(NUM_ASICS_PER_CPU) + ASIC_FILE: $(ASIC_FILE) +#endif +#endif diff --git a/boms/server/mtia/README.md b/boms/server/mtia/README.md new file mode 100644 index 0000000..e99ea31 --- /dev/null +++ b/boms/server/mtia/README.md @@ -0,0 +1,4 @@ +# Model Origination + +* Data for MTIA based on https://dl.acm.org/doi/pdf/10.1145/3695053.3731409 +* Data for MTIA2 based on https://dl.acm.org/doi/pdf/10.1145/3695053.3731409 diff --git a/boms/server/mtia/cpu.yaml b/boms/server/mtia/cpu.yaml new file mode 100644 index 0000000..6910cb0 --- /dev/null +++ b/boms/server/mtia/cpu.yaml @@ -0,0 +1,17 @@ +name: CPU placeholder for MTIA server +description: Generic placeholder CPU device for the MTIA 2i server BOM. The exact host CPU is not publicly disclosed in the MTIA paper, so generic defaults are used here. +devices: + cpu_die: + model: logic + area: 12 * 72 mm2 + fab_ci: taiwan + fab_yield: 0.875 + process: 5nm + n_ics: 1 + io_die: + model: logic + area: 397 mm2 + fab_ci: taiwan + fab_yield: 0.875 + process: 5nm + n_ics: 1 diff --git a/boms/server/mtia/mtia.yaml b/boms/server/mtia/mtia.yaml new file mode 100644 index 0000000..3271521 --- /dev/null +++ b/boms/server/mtia/mtia.yaml @@ -0,0 +1,10 @@ +name: MTIA chip model +description: Meta MTIA chip based on Table 2 of https://dl.acm.org/doi/pdf/10.1145/3695053.3731409 +devices: + asic: + area: 19.3 mm * 19.1 mm + process: 7nm + gpa: 95 + fab_ci: taiwan + fab_yield: 0.875 # note: uses placeholder default fab yield + n_ics: 1 diff --git a/boms/server/mtia/mtia2.yaml b/boms/server/mtia/mtia2.yaml new file mode 100644 index 0000000..ec07eec --- /dev/null +++ b/boms/server/mtia/mtia2.yaml @@ -0,0 +1,10 @@ +name: MTIA chip model +description: Meta MTIA chip based on Table 2 of https://dl.acm.org/doi/pdf/10.1145/3695053.3731409 +devices: + asic: + area: 25.6 mm * 16.4 mm + process: 5nm + gpa: 95 + fab_ci: taiwan + fab_yield: 0.875 # note: uses placeholder default fab yield + n_ics: 1 diff --git a/boms/server/mtia/mtia2i.yaml b/boms/server/mtia/mtia2i.yaml new file mode 100644 index 0000000..363f3f9 --- /dev/null +++ b/boms/server/mtia/mtia2i.yaml @@ -0,0 +1,47 @@ +name: MTIA 2i Server +description: Meta MTIA 2i Server based on Section 3.4 of https://dl.acm.org/doi/pdf/10.1145/3695053.3731409. Note that some components are missing or substituted with generic defaults since there are no well-known models (ex., NICs, board components, etc.) or the exact part numbers are not publicly disclosed. +macros: + CHIP_VARIANT: mtia2.yaml +imports: + # 24 x MTIA2 accelerators per server + mtia_asic0: $(CHIP_VARIANT) + mtia_asic1: $(CHIP_VARIANT) + mtia_asic2: $(CHIP_VARIANT) + mtia_asic3: $(CHIP_VARIANT) + mtia_asic4: $(CHIP_VARIANT) + mtia_asic5: $(CHIP_VARIANT) + mtia_asic6: $(CHIP_VARIANT) + mtia_asic7: $(CHIP_VARIANT) + mtia_asic8: $(CHIP_VARIANT) + mtia_asic9: $(CHIP_VARIANT) + mtia_asic10: $(CHIP_VARIANT) + mtia_asic11: $(CHIP_VARIANT) + mtia_asic12: $(CHIP_VARIANT) + mtia_asic13: $(CHIP_VARIANT) + mtia_asic14: $(CHIP_VARIANT) + mtia_asic15: $(CHIP_VARIANT) + mtia_asic16: $(CHIP_VARIANT) + mtia_asic17: $(CHIP_VARIANT) + mtia_asic18: $(CHIP_VARIANT) + mtia_asic19: $(CHIP_VARIANT) + mtia_asic20: $(CHIP_VARIANT) + mtia_asic21: $(CHIP_VARIANT) + mtia_asic22: $(CHIP_VARIANT) + mtia_asic23: $(CHIP_VARIANT) + # note: generic placeholder CPU; the exact host CPU is not publicly disclosed + cpu0: cpu.yaml + cpu1: cpu.yaml +devices: + # mtia2 uses 12 x 96 GB LPDDR5 DRAM per CPU but since the emissions model for this is missing use a placeholder for now + dram0: + model: dram + size: 12 * 96 GB + fab_yield: 0.875 + process: ddr4_10nm + n_ics: 12 + dram1: + model: dram + size: 12 * 96 GB + fab_yield: 0.875 + process: ddr4_10nm + n_ics: 12 diff --git a/boms/tests/bot.yaml b/boms/tests/bot.yaml new file mode 100644 index 0000000..59c2c6d --- /dev/null +++ b/boms/tests/bot.yaml @@ -0,0 +1,16 @@ +name: Hierarchical import test bot level +devices: + bot_si: + model: logic + area: 5 mm2 + fab_ci: taiwan + process: 14nm + bot_cap: + model: capacitor + type: mlcc + n_ics: 1 + weight: 0.1g + bot_mat: + model: materials + type: steel + weight: 0.2 g diff --git a/boms/tests/built.yaml b/boms/tests/built.yaml new file mode 100644 index 0000000..ff12744 --- /dev/null +++ b/boms/tests/built.yaml @@ -0,0 +1,27 @@ +name: Device build date test +description: Test that the device built year properly propagates to the CI values +devices: + logic_2023: + model: logic + area: 1 mm2 + process: 7nm + built: 2023 + fab_ci: taiwan + logic_2022: + model: logic + area: 1 mm2 + process: 7nm + built: 2022 + fab_ci: taiwan + cap_2023: + model: capacitor + type: mlcc + weight: 1 g + fab_ci: japan + built: 2023 + cap_2022: + model: capacitor + type: mlcc + weight: 1 g + fab_ci: japan + built: 2022 diff --git a/boms/tests/cost_params_test.yaml b/boms/tests/cost_params_test.yaml new file mode 100644 index 0000000..2374963 --- /dev/null +++ b/boms/tests/cost_params_test.yaml @@ -0,0 +1,11 @@ +name: Cost analysis with custom parameters test +parameters: + DEFAULT_ELECTRICITY_COST: 0.25 USD/kWh + carbon_offset_cost: 10.0 USD/metric_ton +devices: + logic0: + model: logic + process: 14nm + area: 9 mm2 + cost: 65 USD + power: 60 W diff --git a/boms/tests/cost_test.yaml b/boms/tests/cost_test.yaml new file mode 100644 index 0000000..eae1939 --- /dev/null +++ b/boms/tests/cost_test.yaml @@ -0,0 +1,16 @@ +name: Cost analysis test +devices: + logic0: + model: logic + process: 14nm + area: 9 mm2 + cost: 65 USD + power: 60 W + + # coverage over using $ instead of USD + logic1: + model: logic + process: 7nm + area: 8 mm2 + cost: 50 $ + power: 65 W diff --git a/boms/tests/emb_op_devices.yaml b/boms/tests/emb_op_devices.yaml new file mode 100644 index 0000000..31a081a --- /dev/null +++ b/boms/tests/emb_op_devices.yaml @@ -0,0 +1,13 @@ +name: Embodied and operational device test +devices: + dut0: + model: logic + area: 10 mm2 + process: 14nm + power: 100 W + + dut1: + model: dram + size: 100 GB + process: ddr3_50nm + power: 5 W diff --git a/boms/tests/empty.yaml b/boms/tests/empty.yaml new file mode 100644 index 0000000..20d9089 --- /dev/null +++ b/boms/tests/empty.yaml @@ -0,0 +1,2 @@ +name: Empty test file +description: Empty test file for testing purposes diff --git a/boms/tests/failing/incomplete_device.yaml b/boms/tests/failing/incomplete_device.yaml new file mode 100644 index 0000000..abc9d9e --- /dev/null +++ b/boms/tests/failing/incomplete_device.yaml @@ -0,0 +1,7 @@ +name: Incomplete device test +description: Test that validation properly fires against the missing fields +devices: + bad_logic: + model: logic + process: 14nm + # should be missing the gpa and area which should throw a validation error diff --git a/boms/tests/imec_logic.yaml b/boms/tests/imec_logic.yaml new file mode 100644 index 0000000..c8be6c6 --- /dev/null +++ b/boms/tests/imec_logic.yaml @@ -0,0 +1,15 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: IMEC Logic Model Test +description: Test BOM for IMEC netzero CPA logic model +devices: + chip: + model: imec_logic + process: 7nm + area: 100 mm2 + n_ics: 1 + fab_yield: 0.9 diff --git a/act/boms/imported.yaml b/boms/tests/imported.yaml similarity index 69% rename from act/boms/imported.yaml rename to boms/tests/imported.yaml index d6505a6..09247e1 100644 --- a/act/boms/imported.yaml +++ b/boms/tests/imported.yaml @@ -1,19 +1,17 @@ name: Test Imported BOM -passives: - imported_cap: - category: capacitor - type: mlcc - quantity: 1 - weight: 0.1 g -silicon: +devices: imported_si: model: logic area: 5 mm2 n_ics: 2 fab_ci: taiwan process: 14nm -materials: + imported_cap: + model: capacitor + type: mlcc + n_ics: 1 + weight: 0.1 g imported_mat: - category: enclosure + model: materials type: steel weight: 1 g diff --git a/boms/tests/macros.yaml b/boms/tests/macros.yaml new file mode 100644 index 0000000..fabe6a1 --- /dev/null +++ b/boms/tests/macros.yaml @@ -0,0 +1,10 @@ +name: Macro test +macros: + AREA: 25 mm2 + PROCESS: 5nm +devices: + dut: + model: logic + area: $(AREA) + fab_ci: taiwan + process: $(PROCESS) diff --git a/boms/tests/manual.yaml b/boms/tests/manual.yaml new file mode 100644 index 0000000..68d8976 --- /dev/null +++ b/boms/tests/manual.yaml @@ -0,0 +1,48 @@ +name: Manual model test +devices: + manual.logic0: + model: manual + process: 14nm + fab_ci: taiwan + carbon: 10.45 kg + power: 10 W + manual.dram0: + model: manual + process: ddr3_30nm + fab_ci: usa + carbon: 20.5 kg + power: 9 W + manual.ssd0: + model: manual + process: nand_30nm + fab_ci: south korea + carbon: 40.5 kg + power: 8 W + manual.hdd0: + model: manual + process: BarraCuda2 + fab_ci: usa + carbon: 10.5 kg + power: 7 W + + # omitting the process should prevent scaling + manual.logic1: + model: manual + fab_ci: taiwan + carbon: 10.45 kg + power: 10 W + manual.dram1: + model: manual + fab_ci: usa + carbon: 20.5 kg + power: 9 W + manual.ssd1: + model: manual + carbon: 40.5 kg + fab_ci: south korea + power: 8 W + manual.hdd1: + model: manual + fab_ci: usa + carbon: 10.5 kg + power: 7 W diff --git a/boms/tests/mid.yaml b/boms/tests/mid.yaml new file mode 100644 index 0000000..7aa8329 --- /dev/null +++ b/boms/tests/mid.yaml @@ -0,0 +1,18 @@ +name: Hierarchical import test mid level +imports: + bot: bot.yaml +devices: + mid_si: + model: logic + area: 5 mm2 + fab_ci: taiwan + process: 14nm + mid_cap: + model: capacitor + type: mlcc + n_ics: 1 + weight: 0.1g + mid_mat: + model: materials + type: steel + weight: 0.2 g diff --git a/boms/tests/op_params.yaml b/boms/tests/op_params.yaml new file mode 100644 index 0000000..7a2bc8f --- /dev/null +++ b/boms/tests/op_params.yaml @@ -0,0 +1,17 @@ +name: Power operation parameters test +description: Test that operational parameters propagate properly +duty_cycle: 0.75 # default duty cycle to propagate +life_cycle: 1.5 year # default device life cycle +op_ci: usa # default operational CI +op_year: 2016 +devices: + default_dev: # should get defaults from top level + model: power + power: 1 W + override_all: + model: power + power: 5 W + op_ci: south korea + duty_cycle: 0.66 + life_cycle: 0.5 year + op_year: 2018 diff --git a/boms/tests/op_power.yaml b/boms/tests/op_power.yaml new file mode 100644 index 0000000..63a9642 --- /dev/null +++ b/boms/tests/op_power.yaml @@ -0,0 +1,10 @@ +name: Test bill of material +op_power: 125 mW +op_ci: japan +devices: + dut: + area: 10 mm2 + fab_yield: 0.87 + process: 14nm + n_ics: 1 + fab_ci: taiwan diff --git a/boms/tests/parameters.yaml b/boms/tests/parameters.yaml new file mode 100644 index 0000000..23c25aa --- /dev/null +++ b/boms/tests/parameters.yaml @@ -0,0 +1,13 @@ +name: Parameters test file +description: Test file for validating parameters field support +parameters: + model_override_1: value1 + model_override_2: 42 + nested_config: + setting_a: true + setting_b: 3.14 +devices: + dut: + model: logic + area: 10 mm2 + process: 7nm diff --git a/boms/tests/power_scaling.yaml b/boms/tests/power_scaling.yaml new file mode 100644 index 0000000..9637782 --- /dev/null +++ b/boms/tests/power_scaling.yaml @@ -0,0 +1,18 @@ +name: Logic Power Scaling TEst +devices: + cpu: + model: logic + area: 213 mm2 + process: 14nm + built: 2017 + n_ics: 1 + fab_ci: usa # Global Foundries + power: 65 W + dram: # this device should not scale + model: dram + size: 1 GB + process: ddr3_50nm + built: 2019 + n_ics: 1 + fab_ci: usa + power: 10 W diff --git a/boms/tests/process_rounding.yaml b/boms/tests/process_rounding.yaml new file mode 100644 index 0000000..be300e8 --- /dev/null +++ b/boms/tests/process_rounding.yaml @@ -0,0 +1,33 @@ +name: Technology node rounding test bill of materials +description: Tests rounding of unavailable technology nodes to the next largest available node +devices: + logic_exact: + model: logic + area: 100 mm2 + process: 14nm + n_ics: 1 + logic_15nm: + model: logic + area: 100 mm2 + process: 15nm + n_ics: 1 + logic_12nm: + model: logic + area: 100 mm2 + process: 12nm + n_ics: 1 + logic_6nm: + model: logic + area: 100 mm2 + process: 6nm + n_ics: 1 + logic_4nm: + model: logic + area: 100 mm2 + process: 4nm + n_ics: 1 + logic_1_5nm: + model: logic + area: 100 mm2 + process: 1.5nm + n_ics: 1 diff --git a/boms/tests/tech_scaling.yaml b/boms/tests/tech_scaling.yaml new file mode 100644 index 0000000..824e702 --- /dev/null +++ b/boms/tests/tech_scaling.yaml @@ -0,0 +1,55 @@ +name: Technology scaling test bill of materials +devices: + logic.dut: + model: logic + area: 100 mm2 + process: 14nm + gpa: 95 + n_ics: 1 + logic.unscaled: + model: logic + area: 125 mm2 + process: 10nm + gpa: 97 + n_ics: 1 + dram.dut: + model: dram + size: 1 GB + process: ddr3_50nm + n_ics: 1 + dram.unscaled: + model: dram + size: 1.25 GB + process: ddr3_50nm + n_ics: 1 + hdd.dut: + model: hdd + size: 1 GB + process: BarraCuda + n_ics: 1 + hdd.unscaled: + model: hdd + size: 1.25 GB + process: BarraCuda + n_ics: 1 + flash.dut: + model: flash + size: 1 GB + process: nand_30nm + n_ics: 1 + flash.unscaled: + model: flash + size: 1 GB + process: nand_30nm + n_ics: 1 + # passives should be ignored + cap0: + model: capacitor + type: mlcc + n_ics: 2 + weight: 100 mg + # materials should be ignored + fasteners: + model: materials + type: steel + weight: 1 kg diff --git a/act/boms/test.yaml b/boms/tests/test.yaml similarity index 67% rename from act/boms/test.yaml rename to boms/tests/test.yaml index fc642a3..e086ead 100644 --- a/act/boms/test.yaml +++ b/boms/tests/test.yaml @@ -1,13 +1,8 @@ name: Test bill of material imports: subsystem: imported.yaml -passives: - cap0: - category: capacitor - type: mlcc - quantity: 2 - weight: 0.03 mg -silicon: +expected_carbon: 32652.239614670092 g +devices: dut: area: 10 mm2 fab_yield: 0.87 @@ -16,28 +11,36 @@ silicon: fab_ci: taiwan dram: model: dram - capacity: 1 GB + size: 1 GB fab_yield: 0.9 process: ddr4_10nm ssd: model: flash - capacity: 2 TB + size: 2 TB fab_yield: 0.88 process: nand_10nm hdd: model: hdd - capacity: 1 TB + size: 1 TB fab_yield: 0.92 process: BarraCuda -materials: + cap0: + model: capacitor + type: mlcc + n_ics: 2 + weight: 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zn6%nUP5mjslrQs#$Nv{q>E}^?jLrWZC6wbYNBN%a($zRX@hcV8QOcv4!WWzp-)sFp D+T`Aq literal 0 HcmV?d00001 diff --git a/boms/tests/top.yaml b/boms/tests/top.yaml new file mode 100644 index 0000000..91f46a9 --- /dev/null +++ b/boms/tests/top.yaml @@ -0,0 +1,18 @@ +name: Hierarchical import test top level +imports: + mid: mid.yaml +devices: + top_cap: + model: capacitor + type: mlcc + n_ics: 1 + weight: 0.1g + top_si: + model: logic + area: 5 mm2 + fab_ci: taiwan + process: 14nm + top_mat: + model: materials + type: steel + weight: 0.2 g diff --git a/ci_script.sh b/ci_script.sh index c389099..26f7fac 100755 --- a/ci_script.sh +++ b/ci_script.sh @@ -1,6 +1,6 @@ # Copyright (c) Meta Platforms, Inc. and affiliates. -# This source code is licensed under the MIT license found in the +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. #!/bin/bash diff --git a/configs/ci_scaling/sample.yaml b/configs/ci_scaling/sample.yaml new file mode 100644 index 0000000..fb69cea --- /dev/null +++ b/configs/ci_scaling/sample.yaml @@ -0,0 +1,24 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: CI scaling configuration file sample + +# specify the file path that this tech scaling configuration works with +compatible_with: server/dellr740/top.yaml + +# specify which device paths to scale and to what +scaling_paths: + # only scale specific logic instance to 14 nm + cpu0.main: + year: 2026 + + # scale all SSDs to 20nm + ssd: + year: 2024 + + # scale only dram main2 + dram.main2: + year: 2030 diff --git a/configs/supply_chain/onshore.yaml b/configs/supply_chain/onshore.yaml new file mode 100644 index 0000000..8bd98ce --- /dev/null +++ b/configs/supply_chain/onshore.yaml @@ -0,0 +1,15 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Onshoring fabrication supply chain +compatible_with: ["server/dellr740/top.yaml"] +scaling_paths: + ssd: + location: usa + dram: + location: usa + cpu: + location: usa diff --git a/configs/supply_chain/sample.yaml b/configs/supply_chain/sample.yaml new file mode 100644 index 0000000..c6560c1 --- /dev/null +++ b/configs/supply_chain/sample.yaml @@ -0,0 +1,21 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Supply chain relocation sample +compatible_with: server/dellr740/top.yaml + +scaling_paths: + # move CPU0 manufacturing to USA + cpu0.main: + location: usa + + # move all SSD manufacturing to China + ssd: + location: china + + # move DRAM main2 source to Korea + dram.main2: + location: south korea diff --git a/configs/tech_scaling/manual.yaml b/configs/tech_scaling/manual.yaml new file mode 100644 index 0000000..1447d1b --- /dev/null +++ b/configs/tech_scaling/manual.yaml @@ -0,0 +1,26 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Manual tech scaling configuration test +scaling_paths: + manual.logic0: + process: 7nm + manual.dram0: + process: ddr4_10nm + manual.ssd0: + process: nand_20nm + manual.hdd0: + process: BarraCuda Pro + + # these scale factors should be ignored as the manual models for these do not specify a process + manual.logic1: + process: 7nm + manual.dram1: + process: ddr4_10nm + manual.ssd1: + process: nand_20nm + manual.hdd1: + process: BarraCuda Pro diff --git a/configs/tech_scaling/power_scaling_test.yaml b/configs/tech_scaling/power_scaling_test.yaml new file mode 100644 index 0000000..e8cfaa1 --- /dev/null +++ b/configs/tech_scaling/power_scaling_test.yaml @@ -0,0 +1,13 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Power scaling test +compatible_with: tests/tech_scaling.yaml +scaling_paths: + cpu: + process: 7nm + dram: + process: ddr3_40nm diff --git a/configs/tech_scaling/sample.yaml b/configs/tech_scaling/sample.yaml new file mode 100644 index 0000000..50ab1f2 --- /dev/null +++ b/configs/tech_scaling/sample.yaml @@ -0,0 +1,24 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Tech scaling configuration file sample + +# specify the file path that this tech scaling configuration works with +compatible_with: server/dellr740/top.yaml + +# specify which device paths to scale and to what +scaling_paths: + # only scale specific logic instance to 14 nm + cpu0.main: + process: 14nm + + # scale all SSDs to 20nm + ssd: + process: nand_20nm + + # scale only dram main2 + dram.main2: + process: lpddr4 diff --git a/configs/tech_scaling/tech_scaling_test.yaml b/configs/tech_scaling/tech_scaling_test.yaml new file mode 100644 index 0000000..882ae88 --- /dev/null +++ b/configs/tech_scaling/tech_scaling_test.yaml @@ -0,0 +1,17 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Technology scaling test +compatible_with: tests/tech_scaling.yaml +scaling_paths: + logic.dut: + process: 10nm + dram.dut: + process: ddr3_40nm + hdd.dut: + process: BarraCuda2 + flash.dut: + process: nand_20nm diff --git a/core/__init__.py b/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/act_model.py b/core/act_model.py new file mode 100644 index 0000000..54f391c --- /dev/null +++ b/core/act_model.py @@ -0,0 +1,360 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import datetime +import os +import pathlib +import tempfile + +import pint +from act.core.act_result import ACTResult +from act.core.carbon import Carbon, SourceType +from act.core.common import DEFAULT_OP_YEAR, ModelType +from act.core.device_data import DeviceData +from act.core.gui.act_dashboard import ACTDashboard +from act.core.metrics.cost_analyzer import CostAnalyzer +from act.core.metrics.metric_analyzer import MetricAnalyzer +from act.core.models.ap_model import APModel, DEFAULT_AP_CONFIG +from act.core.models.battery_model import BatteryModel, DEFAULT_BATTERY_CONFIG +from act.core.models.capacitor_model import CapacitorModel, DEFAULT_CP_CONFIG +from act.core.models.ci_model import CIModel +from act.core.models.dram_model import DEFAULT_DRAM_CONFIG, DRAMModel +from act.core.models.hdd_model import DEFAULT_HDD_CONFIG, HDDModel +from act.core.models.imec_logic_model import IMECLogicModel +from act.core.models.logic_model import LogicModel +from act.core.models.manual_model import ManualModel +from act.core.models.materials_model import DEFAULT_MATERIALS_CONFIG, MaterialsModel +from act.core.models.op_model import OpModel +from act.core.models.pcb_model import PCBModel +from act.core.models.ssd_model import SSDModel +from act.core.scaling.apply_ci_scaling import apply_ci_scaling +from act.core.scaling.scaling_config import ScalingConfig +from act.core.scaling.tech_scaling_manager import TechScalingManager +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import kg, year +from act.core.utils.utils import ( + resolve_duty_cycle, + resolve_life_cycle, + resolve_op_ci, + resolve_op_power, + resolve_op_year, +) + +SYMLINK_PATH = "latest_act_out" +VIRTUAL_POWER_DEVICE = "__SYSTEM_POWER__" + + +class ACTModel: + def __init__( + self, + out_dir: str = None, + weight_unit=kg, + ap_config=DEFAULT_AP_CONFIG, + cap_config=DEFAULT_CP_CONFIG, + dram_config=DEFAULT_DRAM_CONFIG, + hdd_config=DEFAULT_HDD_CONFIG, + materials_config=DEFAULT_MATERIALS_CONFIG, + battery_config=DEFAULT_BATTERY_CONFIG, + test=False, + cl_macros=None, + scaling_file=None, + scaling_config=None, + use_legacy=False, + ): + """Initialize the ACT Model object. + + Args: + out_dir (str): Output directory for results. + weight_unit (pint.Quantity): The unit of weight to normalize results to for reporting. + ap_config (str): AP model configuration file path. + cap_config (str): Capacitor model configuration file path. + dram_config (str): DRAM model configuration file path. + hdd_config (str): HDD model configuration file path. + materials_config (str): Material model configuration file path. + test (bool): If True, skip creating symlink for test runs. + cl_macros (dict): Command line macros for YAML loading. + scaling_file (str): Path to technology scaling configuration file. + scaling_config (ScalingConfig): Pre-loaded scaling configuration object. + use_legacy (bool): If True, use legacy carbon intensity models. + """ + + self.cl_macros = {} if cl_macros is None else cl_macros + self.weight_unit = weight_unit + self.use_legacy = use_legacy + + self.out_dir = ( + tempfile.TemporaryDirectory(prefix="act_out_").name + if out_dir is None + else out_dir + ) + + if not os.path.exists(self.out_dir): + os.makedirs(self.out_dir, exist_ok=True) + + # create symlink to latest run + pathlib.Path(SYMLINK_PATH).unlink(missing_ok=True) + if not test: # do not create for tests + try: + os.symlink(self.out_dir, SYMLINK_PATH) + except FileExistsError: + log.info("Couldn't update symlink. Results may be stale.") + + # load the models for each type of device + self.ci_model = CIModel(use_legacy=self.use_legacy) + self.logic_model = LogicModel( + ci_model=self.ci_model, use_legacy=self.use_legacy + ) + self.dram_model = DRAMModel(model_file=dram_config) + self.ssd_model = SSDModel() + self.hdd_model = HDDModel(model_files=hdd_config) + self.op_model = OpModel(ci_model=self.ci_model, use_legacy=self.use_legacy) + self.cap_model = CapacitorModel(model_file=cap_config, ci_model=self.ci_model) + self.materials_model = MaterialsModel(model_file=materials_config) + self.ap_model = APModel(model_file=ap_config) + self.imec_logic_model = IMECLogicModel() + self.pcb_model = PCBModel() + self.battery_model = BatteryModel(model_file=battery_config) + self.manual_model = ManualModel() + self.tech_scaling_manager = TechScalingManager() + + # placeholder values + self.op_power = None + self.op_ci = None + self.op_year = None + self.duty_cycle = None + self.life_cycle = None + self.bom = None + self.op_carbon = None + + # metric analyzer and telemetry results + self.metric_analyzer = None + self.metric_results = None + self.start_time, self.end_time = None, None + self.cost_analyzer = None + + # dashboard attributes + self.dashboard_uri = None + self.dashboard_asset = None + self.spreadsheet_asset = None + + # load the technology scaling results if one is specified + if scaling_config is not None: + self.scaling_file = None + self.scaling_config = scaling_config + elif scaling_file is not None: + self.scaling_file = scaling_file + self.scaling_config = ScalingConfig( + **load_yaml_with_macros(self.scaling_file) + ) + else: + self.scaling_file = None + self.scaling_config = None + + # generate result data structure + self.results = ACTResult() + + def get_carbon( + self, + bom, + op_power: pint.Quantity = None, + op_ci=None, + op_year=DEFAULT_OP_YEAR, + duty_cycle: float = 1.0, + life_cycle=2 * year, + export_file=None, + ): + """Calculate the aggregate carbon cost for this configuration. + + Args: + bom (BOM): Bill of materials data structure specifying the component lists and parameters. + op_power (pint.Quantity): Operating power of the device. + op_ci (str): Operational carbon intensity setting. + op_year (int): Year for operational carbon intensity lookup. + duty_cycle (float): Device utilization rate between 0 and 1. + life_cycle (pint.Quantity): Expected hardware life cycle. + export_file (str): Output file path for results. + + Returns: + Carbon: The total carbon emissions for the configuration. + """ + + # record start of analysis for run time regression purposes + self.start_time = datetime.datetime.now() + + self.op_power = resolve_op_power(cl_op_power=op_power, bom=bom) + self.op_ci = resolve_op_ci(cl_op_ci=op_ci, bom=bom) + self.op_year = self.results.op_power = resolve_op_year( + cl_op_year=op_year, bom=bom + ) + self.duty_cycle = self.results.duty_cycle = resolve_duty_cycle( + cl_duty_cycle=duty_cycle, bom=bom + ) + self.life_cycle = self.results.life_cycle = resolve_life_cycle( + cl_life_cycle=life_cycle, bom=bom + ) + self.bom = self.results.bom = bom + + self.bom.set_op_parameters( + op_ci=self.op_ci, + op_year=self.op_year, + duty_cycle=self.duty_cycle, + life_cycle=self.life_cycle, + override=False, # do not override existing parameters + ) + self.bom.devices[VIRTUAL_POWER_DEVICE] = DeviceData( + model=ModelType.POWER, + power=self.op_power, + op_ci=self.op_ci, + op_year=self.op_year, + life_cycle=self.life_cycle, + duty_cycle=self.duty_cycle, + ) + + # apply the power scaling before carbon analysis + self.tech_scaling_manager.apply_power_scaling( + bom, scaling_config=self.scaling_config + ) + + # calculate the total carbon + carbon_results = self.carbon_analysis(bom) + self.results.set_carbon_by_device(carbon_results) + + # apply technology scaling if specified + if self.scaling_config is not None: + # apply embodied carbon technology scaling + self.tech_scaling_manager.apply_tech_scaling(self) + + # apply carbon intensity scaling + apply_ci_scaling( + act_results=self.results, + bom=self.bom, + scaling_config=self.scaling_config, + ci_model=self.ci_model, + ) + + # re-calculate the result the results data structure + self.results.recalculate() + + # run metric analysis + self.metric_analyzer = MetricAnalyzer(act_model=self) + self.results.metrics = self.metric_analyzer.get_results() + self.cost_analyzer = CostAnalyzer(act=self) + + # export the results + self.export_results(export_file) + + # mark the analysis end time + self.end_time = datetime.datetime.now() + + return self.results.total_carbon + + def carbon_analysis(self, bom): + """Run carbon analysis for all devices in the bill of materials. + + Args: + bom (BOM): Bill of materials containing device specifications. + + Returns: + dict[str, Carbon]: Dictionary mapping device names to their carbon emissions. + + Raises: + NotImplementedError: If a device model type is not supported. + """ + devices = bom.devices + + # for each device, run the carbon modeling analysis + carbon_by_device = dict() + + # for each device item in the list, query the manufacturing cost + for dname, device_data in devices.items(): + mtype = device_data.model + + # calculate the carbon emissions for silicon devices + if mtype is ModelType.LOGIC: + emb_carbon = self.logic_model.get_carbon(device_data) + elif mtype is ModelType.IMEC_LOGIC: + emb_carbon = self.imec_logic_model.get_carbon(device_data) + elif mtype is ModelType.AP: + emb_carbon = self.ap_model.get_carbon(device_data) + elif mtype is ModelType.DRAM: + emb_carbon = self.dram_model.get_carbon(device_data) + elif mtype is ModelType.FLASH: + emb_carbon = self.ssd_model.get_carbon(device_data) + elif mtype is ModelType.HDD: + emb_carbon = self.hdd_model.get_carbon(device_data) + elif mtype is ModelType.MANUAL: + emb_carbon = self.manual_model.get_carbon(device_data) + elif device_data.model is ModelType.CAPACITOR: + emb_carbon = self.cap_model.get_carbon(device_data) + elif device_data.model is ModelType.MATERIALS: + emb_carbon = self.materials_model.get_carbon(device_data) + elif device_data.model is ModelType.PCB: + emb_carbon = self.pcb_model.get_carbon(device_data) + elif device_data.model is ModelType.BATTERY: + emb_carbon = self.battery_model.get_carbon(device_data) + elif device_data.model is ModelType.POWER: + emb_carbon = Carbon(0 * kg, SourceType.FABRICATION) + else: + raise NotImplementedError( + f"Silicon model type for {mtype} not implemented. Unable to calculate cost." + ) + + # all devices which have associated power should have operational carbon calculated + op_carbon = self.op_model.get_carbon(device_data) + + # update the results with the aggregate total + carbon_by_device[dname] = op_carbon + emb_carbon + + return carbon_by_device + + def export_results(self, export_file: str): + """Export analysis results to YAML and spreadsheet files. + + Args: + export_file (str): Output file path for YAML results. Spreadsheet will use same name with .xlsx extension. + """ + # export the result to yaml report and spreadsheet for auditing + if export_file is None: + export_file = f"{self.out_dir}/act_report.yaml" + xls_file = export_file.replace(".yaml", ".xlsx") + + # yaml asset export + self.results.export_yaml(export_file=export_file) + log.info(f"ACT yaml results written to: {export_file}") + + # spread sheet asset export + self.results.export_spreadsheet(xls_file) + log.info(f"ACT spreadsheet results written to: {xls_file}") + + def generate_dashboard(self, extra_cards=None, upload_fn=None): + """Generate the dashboard and optionally upload it. + + Args: + extra_cards (list): Optional list of additional dashboard cards to include. + upload_fn (callable): Optional function to upload the dashboard HTML file. + Should accept a file path and return the upload URL. + + Returns: + str or None: The upload URL if upload_fn was provided, None otherwise. + """ + self.dashboard_asset = ACTDashboard( + act=self, + out_dir=self.out_dir, + dashboard_title=self.bom.name, + ) + self.dashboard_asset.generate_dashboard(extra_cards=extra_cards) + + log.info(f"Dashboard asset written to: {self.dashboard_asset.packed_html_file}") + + if upload_fn is not None: + return upload_fn(self.dashboard_asset.packed_html_file) + + def __getstate__(self): + state = self.__dict__.copy() + if "dashboard_asset" in state: + del state["dashboard_asset"] + return state diff --git a/core/act_result.py b/core/act_result.py new file mode 100644 index 0000000..6ab37ba --- /dev/null +++ b/core/act_result.py @@ -0,0 +1,257 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import datetime +import os +import sys +from dataclasses import dataclass, field +from enum import Enum +from typing import Any + +import pint +import yaml +from act.core.carbon import Carbon, SourceType +from act.core.device_data import DEVICE_FIELDS, MODEL, NAME +from act.core.utils.units import kg, units +from openpyxl import Workbook + +SUMMARY_SHEET = "Summary" +CARBON_SHEET = "Carbon" +BOM_SHEET = "BOM" + + +@dataclass +class ACTResult: + """Data class for storing ACT analysis results. + + Attributes: + carbon_by_device (dict[str, Carbon]): Carbon emissions mapped by device name. + timestamp (str): Timestamp when the analysis was run. + cl_args (list): Command line arguments used for the analysis. + duty_cycle (float): Device utilization rate. + life_cycle (pint.Quantity): Expected hardware life cycle. + total_carbon (Carbon): Total carbon emissions across all devices. + carbon_by_category (dict[SourceType, pint.Quantity]): Carbon emissions by source type. + metrics (dict): Computed metrics from the analysis. + weight_unit (pint.Quantity): Unit of weight for reporting. + bom (Any): Bill of materials used in the analysis. + """ + + carbon_by_device: dict[str, Carbon] = field(default_factory=dict) + timestamp: str = None + cl_args: list = field(default_factory=list) + duty_cycle: float = None + life_cycle: pint.Quantity = None + total_carbon: Carbon = None + carbon_by_category: dict[SourceType, pint.Quantity] = field(default_factory=dict) + metrics: dict = field(default_factory=dict) + weight_unit: pint.Quantity = kg + bom: Any = None + + def _carbon_from_dict(self, data: dict[str, str]): + """Convert a dictionary of string values to a Carbon object. + + Args: + data (dict[str, str]): Dictionary mapping source type names to carbon amounts. + + Returns: + Carbon: Carbon object initialized from the dictionary. + """ + return Carbon(result_dict={SourceType(k): units(v) for k, v in data.items()}) + + def __post_init__(self): + # construct the Carbon values if loading from yaml + def cast_to_carbon(results): + for key, data in results.items(): + if not isinstance(data, Carbon): + results[key] = self._carbon_from_dict(data) + + cast_to_carbon(results=self.carbon_by_device) + + # populate telemetry args + now = datetime.datetime.now() + self.timestamp = now.strftime("%m/%d/%Y %H:%M:%S") + self.cl_args = " ".join(sys.argv) + + def set_carbon_by_device(self, carbon_by_device): + """Set the carbon emissions by device and recalculate totals. + + Args: + carbon_by_device (dict[str, Carbon]): Dictionary mapping device names to carbon emissions. + """ + self.carbon_by_device = carbon_by_device + self.recalculate() + + def get_carbon_by_category(self): + """Generate a report of carbon emissions by source category. + + Returns: + dict[str, pint.Quantity]: Dictionary mapping source type names to carbon amounts. + """ + # generate the result report by category + result_by_cat_dict = {} + for src in SourceType: + result_by_cat_dict[src.name] = self.total_carbon.partial(src).to( + self.weight_unit + ) + return result_by_cat_dict + + def export_yaml(self, export_file): + """Export results to a YAML file. + + Args: + export_file (str): Path to the output YAML file. + """ + with open(export_file, "w") as handle: + yaml.dump(self.as_str_dict(), handle) + + def as_str_dict(self) -> dict: + """Convert results to a dictionary with string values. + + Returns: + dict: Dictionary representation of results with stringified values. + """ + ret_dict = { + "carbon_by_device": { + dev: data.as_str_dict() for dev, data in self.carbon_by_device.items() + }, + "timestamp": self.timestamp, + "cl_args": self.cl_args, + "duty_cycle": self.duty_cycle, + "life_cycle": str(self.life_cycle), + "total_carbon": self.total_carbon.as_str_dict(), + "carbon_by_category": { + cat: str(amt.to(self.weight_unit)) + for cat, amt in self.carbon_by_category.items() + }, + "metrics": {k: str(v) for k, v in self.metrics.items()}, + } + + return ret_dict + + def get_carbon_by_device(self) -> dict: + """Get the carbon emissions by device. + + Returns: + dict[str, Carbon]: Dictionary mapping device names to carbon emissions. + """ + return self.carbon_by_device + + def get_fcarbon_by_device(self, weight_unit): + """Get formatted carbon emissions by device with specified weight unit. + + Args: + weight_unit (pint.Quantity): The weight unit to convert results to. + + Returns: + dict[str, dict[str, str]]: Nested dictionary of device names to source types to formatted amounts. + """ + results_by_dev_dict = {} + for dev, carbon in self.get_carbon_by_device().items(): + dev_dict = { + ctype.name: str(amt.to(weight_unit)) + for ctype, amt in carbon.carbon_by_type.items() + } + results_by_dev_dict[dev] = dev_dict + return results_by_dev_dict + + def export_spreadsheet(self, export_file: str): + """Export results to an Excel spreadsheet. + + Args: + export_file (str): Path to the output Excel file. + """ + # Create a new workbook + wb = Workbook() + + # get rid of the initial default generated spreadsheet + ws = wb.active + wb.remove(ws) + + # create the report spreadsheets + top_ws = wb.create_sheet(SUMMARY_SHEET) + carbon_ws = wb.create_sheet(CARBON_SHEET) + bom_ws = wb.create_sheet(BOM_SHEET) + + def write_data(ws, data): + assert type(data) is list + for i, row in enumerate(data, start=1): + for j, value in enumerate(row, start=1): + cell = ws.cell(row=i, column=j) + cell.value = value + + def cell_data_from_results(results): + carbon_type = [c.value for c in SourceType] + data = [["Device", *carbon_type]] + uniting = ["Units"] + [format(self.weight_unit.units, "~")] * len( + carbon_type + ) + data.append(uniting) + for dev, carbon in results.items(): + data_line = [ + dev, + *[ + str(carbon.partial(ctype).to(self.weight_unit).m) + for ctype in SourceType + ], + ] + data.append(data_line) + return data + + def cell_data_from_bom(bom): + # order the headers so that it's name then model first + header = [NAME, MODEL] + for name in DEVICE_FIELDS.values(): + if name not in header: + header.append(name) + assert len(header) == len(DEVICE_FIELDS), ( + f"Got header: {header}. Expected to have {DEVICE_FIELDS}" + ) + + data = [header] + for dev in bom.devices.values(): + data_line = [getattr(dev, f) for f in header] + + # cast enums to names + data_line = [x.value if isinstance(x, Enum) else x for x in data_line] + + # cast to string + data_line = [str(x) for x in data_line] + + data.append(data_line) + return data + + # export the top level telementry into the top sheet + top_sheet_data = [ + ["ACT Analysis Results"], + ["Author", os.environ["USER"]], + ["Report Generated", self.timestamp], + ["Command Line Args", self.cl_args], + ["Operating Power", str(self.op_power)], + ["Duty Cycle", self.duty_cycle], + ["Hardware Lifetime", str(self.life_cycle)], + ["Metrics"], + *[[k, str(v)] for k, v in self.metrics.items()], + ["Total Carbon"], + *[[k, v] for k, v in self.total_carbon.as_str_dict().items()], + ] + write_data(ws=top_ws, data=top_sheet_data) + + # export the carbon by device data + carbon_data = cell_data_from_results(self.carbon_by_device) + write_data(carbon_ws, carbon_data) + + # export the bill of materials data + bom_data = cell_data_from_bom(self.bom) + write_data(bom_ws, bom_data) + + # Save the workbook + wb.save(export_file) + + def recalculate(self): + """Recalculate total carbon and carbon by category from device data.""" + self.total_carbon = sum([v for k, v in self.carbon_by_device.items()]) + self.carbon_by_category = self.get_carbon_by_category() diff --git a/core/bom.py b/core/bom.py new file mode 100644 index 0000000..c401736 --- /dev/null +++ b/core/bom.py @@ -0,0 +1,115 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import os +from dataclasses import dataclass, field + +import pint +from act.core.device_data import DeviceData +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import units + +DEVICES = "devices" +MODEL = "model" +IMPORTS = "imports" +SUBSYSTEM_DELIMITER = "." +YAML_EXTENSION = ".yaml" + + +@dataclass +class BOM: + """Bill of Materials data class for specifying device components. + + Attributes: + name (str): Name of the bill of materials. + description (str): Description of the BOM. + macros (dict): Macro definitions for YAML processing. + devices (dict): Dictionary of device specifications. + imports (dict): Files to import additional device definitions from. + file (str): Original file path for this BOM. + duty_cycle (float): Default device utilization rate. + life_cycle (pint.Quantity): Default hardware life cycle. + op_power (str): Operating power specification. + op_ci (str): Operational carbon intensity setting. + op_year (int): Year for operational carbon intensity lookup. + cl_macros (dict[str, str]): Command line macros. + expected_carbon (str): Expected carbon value for validation. + parameters (dict): Configuration parameter overrides. + """ + + name: str = "Default Materials List Name" + description: str = "" + macros: dict = field(default=None) + devices: dict = field(default=None) + imports: dict = field(default=None) + file: str = None + duty_cycle: float = None + life_cycle: pint.Quantity = None + op_power: str = None + op_ci: str = None + op_year: int = None + cl_macros: dict[str, str] = field(default_factory=dict) + expected_carbon: str = None + parameters: dict = field(default=None) + + def __post_init__(self): + # convert the devices annotation data structure + devices = dict() + if self.devices is not None: + for dname, devices_data in self.devices.items(): + annotation = DeviceData( + **devices_data, + name=dname, + ) + devices[dname] = annotation + self.devices = devices + + # convert the power if it is specified + if self.op_power is not None: + self.op_power = units(self.op_power) + if self.expected_carbon is not None: + self.expected_carbon = units(self.expected_carbon) + if self.life_cycle is not None: + self.life_cycle = units(self.life_cycle) + + # import data from additional files if specified which should already be casted properly + if self.imports is not None: + for iname, import_spec in self.imports.items(): + if isinstance(import_spec, dict): + filepath = import_spec.get("file") + import_macros = { + k: str(v) for k, v in import_spec.get("macros", {}).items() + } + else: + filepath = import_spec + import_macros = {} + path = os.path.dirname(self.file) + "/" + filepath + file_data = load_yaml_with_macros(path, cl_macros=import_macros) + imported_bom = BOM( + **file_data, + file=path, + ) + for name, data in imported_bom.devices.items(): + self.devices[f"{iname}{SUBSYSTEM_DELIMITER}{name}"] = data + + def set_op_parameters(self, op_ci, op_year, duty_cycle, life_cycle, override=True): + """Set operational parameters for all devices in the BOM. + + Args: + op_ci (str): Operational carbon intensity setting. + op_year (int): Year for operational carbon intensity lookup. + duty_cycle (float): Device utilization rate. + life_cycle (pint.Quantity): Hardware life cycle. + override (bool): If True, override existing device parameters. If False, only set if not already defined. + """ + for dev in self.devices.values(): + dev.set_op_parameters( + op_ci=op_ci, + op_year=op_year, + duty_cycle=duty_cycle, + life_cycle=life_cycle, + override=override, + ) diff --git a/act/core/carbon.py b/core/carbon.py similarity index 55% rename from act/core/carbon.py rename to core/carbon.py index 4b0f77a..8073207 100644 --- a/act/core/carbon.py +++ b/core/carbon.py @@ -1,36 +1,45 @@ # Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the +# All rights reserved. +# +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. -from enum import auto, Enum +from enum import Enum +from typing import Union import pint - -from .units import g +from act.core.utils.units import g -# Track the type of each emissions component +# track the type of each emissions component class SourceType(Enum): - """ - Enum representing the type of each emissions component. - """ - - PACKAGING = auto() # Cost from IC packaging process - MATERIALS = auto() # Cost of IC materials procurement - OPERATION = auto() # Cost of operating device - FABRICATION = auto() # Cost of powering and using the fab - PASSIVES = auto() # Cost of passives like capacitors, resistors, and diodes - PCB = auto() # PCB manufacturing cost - CONNECTOR = auto() # Connector passives cost - ENCLOSURE = auto() # Enclosure cost like case, plastic frames, etc. - OTHER = auto() # Miscellaneous source type + PACKAGING = "packaging" # cost from IC packaging process + MATERIALS = "materials" # cost of IC materials procurement + OPERATION = "operation" # cost of operating device + FABRICATION = "fabrication" # cost of powering and using the fab + PASSIVES = "passive" # cost of passives like capacitors, resistors, and diodes + PCB = "pcb" # PCB manufacturing cost + MOSFET = "mosfet" # mosfet cost + CONNECTOR = "connector" # connector passives cost + OTHER = "other" # miscellaneous source type + + +EMBODIED_SOURCES = [ + SourceType.PACKAGING, + SourceType.MATERIALS, + SourceType.FABRICATION, + SourceType.PASSIVES, + SourceType.PCB, + SourceType.MOSFET, + SourceType.CONNECTOR, + SourceType.OTHER, +] +OPERATIONAL_SOURCES = [SourceType.OPERATION] class Carbon: """ A wrapper class around carbon results. - Attributes: carbon_by_type (dict): A dictionary mapping SourceType to amounts of carbon. """ @@ -43,19 +52,18 @@ def __init__( ) -> None: """ Initializes a new instance of the Carbon class. - Args: amount (pint.Quantity, optional): Amount of carbon with units of weight. Defaults to None. - ctype (SourceType, optional): The emissions source type. If None is specified, will default to SourceType.OTHER + ctype (SourceType, optional): The emissions source type. If None is specifeid, will default to SourceType.OTHER result_dict (dict[SourceType, pint.Quantity], optional): A dictionary mapping SourceType to amounts of carbon. Used to initialize the object instead of the amount and ctype if provided. """ # Initialize from dict if specified if result_dict is not None: self.carbon_by_type = result_dict else: - assert amount.check( - g - ), f"Carbon amount must be in units of weight. Got {amount}" + assert amount.check(g), ( + f"Carbon amount must be in units of weight. Got {amount}. Make sure the quantity is unit'ed." + ) if ctype is not None and ctype not in SourceType: _ctype = SourceType.OTHER else: @@ -65,10 +73,8 @@ def __init__( def _get_other_keys(self, other: "Carbon") -> list[SourceType]: """ Get the keys from another Carbon instance. - Args: other (Carbon): The other Carbon instance. - Returns: list[SourceType]: The keys from the other Carbon instance. """ @@ -81,10 +87,8 @@ def _get_other_keys(self, other: "Carbon") -> list[SourceType]: def __add__(self, other: "Carbon") -> "Carbon": """ Add another Carbon instance to this one. - Args: other (Carbon): The other Carbon instance. - Returns: Carbon: A new Carbon instance representing the sum of this one and the other. """ @@ -97,13 +101,24 @@ def __add__(self, other: "Carbon") -> "Carbon": new_result[k] = x + y return Carbon(result_dict=new_result) + def __radd__(self, other: int) -> "Carbon": + """ + Add this Carbon instance to an integer (for sum) or other Carbon instances. + Args: + other (int): The integer. + Returns: + Carbon: This Carbon instance if the integer is 0, otherwise the result of adding this Carbon instance to the integer. + """ + if other == 0: + return self + else: + return self.__add__(other) + def __sub__(self, other: "Carbon") -> "Carbon": """ Subtract another Carbon instance from this one. - Args: other (Carbon): The other Carbon instance. - Returns: Carbon: A new Carbon instance representing the difference between this one and the other. """ @@ -116,37 +131,59 @@ def __sub__(self, other: "Carbon") -> "Carbon": new_result[k] = x - y return Carbon(result_dict=new_result) - def __radd__(self, other: int) -> "Carbon": + def __mul__(self, scalar: Union[int, float]) -> "Carbon": """ - Add this Carbon instance to an integer (for sum) or other Carbon instances. - + Multiply the Carbon instance by a scalar value. Args: - other (int): The integer. + scalar (Union[int, float]): The scalar value to multiply by. + Returns: + Carbon: A new Carbon instance with the multiplied values. + """ + new_result = {} + keys = self.carbon_by_type.keys() + for k in keys: + new_result[k] = self.carbon_by_type[k] * scalar + return Carbon(result_dict=new_result) + def __rmul__(self, scalar: Union[int, float]) -> "Carbon": + """ + Multiply the Carbon instance by a scalar value from the right. + Note: + If the scalar is 0, the original instance is returned unchanged. + Args: + scalar (Union[int, float]): The scalar value to multiply by. Returns: - Carbon: This Carbon instance if the integer is 0, otherwise the result of adding this Carbon instance to the integer. + Carbon: A new Carbon instance with the multiplied values or the original instance if the scalar is 0. """ - if other == 0: + if scalar == 0: return self else: - return self.__add__(other) + return self.__mul__(scalar) - def partial(self, ctype: SourceType) -> pint.Quantity: + def partial(self, ctype: Union[SourceType, str]) -> pint.Quantity: """ Get the partial amount of carbon for a given SourceType. - Args: ctype (SourceType): The SourceType. - Returns: pint.Quantity: The partial amount of carbon. """ - return self.carbon_by_type.get(ctype, 0 * g) + _ctype = SourceType(ctype) if isinstance(ctype, str) else ctype + return self.carbon_by_type.get(_ctype, 0 * g) + + def set_partials(self, other) -> None: + """Override the partials with the carbon object provided. Preserves partials for source types not in the provided carbon""" + for ctype in other.types(): + self.set_partial(ctype=ctype, amt=other.partial(ctype)) + + def set_partial(self, ctype: SourceType, amt: pint.Quantity) -> None: + assert amt.check(g) + _ctype = SourceType(ctype) if isinstance(ctype, str) else ctype + self.carbon_by_type[_ctype] = amt def total(self) -> pint.Quantity: """ Get the total amount of carbon. - Returns: pint.Quantity: The total amount of carbon. """ @@ -156,8 +193,24 @@ def total(self) -> pint.Quantity: def types(self) -> list[SourceType]: """ Get the SourceTypes present in this Carbon instance. - Returns: list[SourceType]: The SourceTypes. """ return list(self.carbon_by_type.keys()) + + def as_str_dict(self): + """Return this data as a stringified dict""" + return { + ctype.value: str(amt.to_reduced_units()) + for ctype, amt in self.carbon_by_type.items() + } + + def to(self, weight_unit): + for ctype, amt in self.carbon_by_type.items(): + self.carbon_by_type[ctype] = amt.to(weight_unit) + + def embodied(self): + return sum([self.partial(stype) for stype in EMBODIED_SOURCES]) + + def op(self): + return sum([self.partial(stype) for stype in OPERATIONAL_SOURCES]) diff --git a/core/common.py b/core/common.py new file mode 100644 index 0000000..cc33988 --- /dev/null +++ b/core/common.py @@ -0,0 +1,72 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import os +from enum import Enum + +from act.core.utils.units import g, year + +ACT_ROOT = os.path.dirname(__file__) + "/.." + +MACROS = "macros" + +DEFAULT_FAB_YIELD = 0.875 +NA = "na" + +DEFAULT_BUILD_YEAR = 2023 +DEFAULT_OP_YEAR = 2023 +DEFAULT_LIFE_CYCLE = 2 * year +DEFAULT_DUTY_CYCLE = 1.0 + + +class AbatementLevel(Enum): + GPA95 = 95 + GPA97 = 97 + GPA99 = 99 + + +class ModelType(Enum): + LOGIC = "logic" + IMEC_LOGIC = "imec_logic" + AP = "ap" + DRAM = "dram" + FLASH = "flash" + HDD = "hdd" + MANUAL = "manual" + MATERIALS = "materials" + CAPACITOR = "capacitor" + RESISTOR = "resistor" + DIODE = "diode" + PCB = "pcb" + BATTERY = "battery" + SIGNAL_BEAD = "signal bead" + POWER = "power" + OTHER = "other" + + +class CapacitorType(Enum): + MLCC = "mlcc" + TEC = "tec" + + +PASSIVE_MODEL_TYPES = [ + ModelType.CAPACITOR, + ModelType.RESISTOR, + ModelType.DIODE, + ModelType.SIGNAL_BEAD, +] +MATERIALS_MODEL_TYPES = [ + ModelType.MATERIALS, + ModelType.PCB, + ModelType.BATTERY, +] + +# IC packaging cost +CARBON_PER_IC_PACKAGE = 150 * g + +# BOM parameters field names for cost analysis configuration +DEFAULT_ELECTRICITY_COST = "DEFAULT_ELECTRICITY_COST" +DEFAULT_CARBON_OFFSET_COST = "carbon_offset_cost" diff --git a/core/device_data.py b/core/device_data.py new file mode 100644 index 0000000..87d2e65 --- /dev/null +++ b/core/device_data.py @@ -0,0 +1,258 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import dataclass, fields as dataclass_fields +from typing import Union + +import pint +from act.core.carbon import SourceType +from act.core.common import ( + AbatementLevel, + CapacitorType, + DEFAULT_FAB_YIELD, + ModelType, + NA, +) +from act.core.models.ci_model import DEFAULT_BUILD_YEAR, DEFAULT_FAB_LOCATION +from act.core.processes import ( + DRAMProcess, + HDDProcess, + LogicProcess, + resolve_logic_process_with_rounding, + resolve_process, + SSDProcess, +) +from act.core.utils.logger import log +from act.core.utils.units import dollar, mW, units + + +@dataclass +class DeviceData: + """Data class for storing device specifications. + + Attributes: + model (ModelType): The model type for carbon calculation. + name (str): The device name. + n_ics (int): Number of integrated circuits. + built (int): Year the device was built. + process (Union[LogicProcess, DRAMProcess, SSDProcess, HDDProcess]): Manufacturing process. + fab_yield (float): Fabrication yield rate. + fab_ci (str): Fabrication carbon intensity location. + area (pint.Quantity): Die area. + size (pint.Quantity): Physical size. + weight (pint.Quantity): Device weight. + capacity (pint.Quantity): Storage capacity. + carbon (pint.Quantity): Manual carbon amount. + ctype (pint.Quantity): Carbon source type for manual model. + gpa (AbatementLevel): Gas abatement level. + layers (int): Number of PCB layers. + type (str): Device subtype. + power (pint.Quantity): Operating power. + op_ci (str): Operational carbon intensity. + op_year (int): Year for operational carbon intensity. + life_cycle (pint.Quantity): Hardware life cycle. + duty_cycle (float): Device utilization rate. + cost (str): Device cost. + """ + + model: ModelType = ModelType.LOGIC # assume logic model by default + name: str = None # the device name + + # embodied paramers + n_ics: int = 0 + built: int = DEFAULT_BUILD_YEAR + process: Union[LogicProcess, DRAMProcess, SSDProcess, HDDProcess] = None + fab_yield: float = DEFAULT_FAB_YIELD + fab_ci: str = DEFAULT_FAB_LOCATION + area: pint.Quantity = None + size: pint.Quantity = None + weight: pint.Quantity = None + capacity: pint.Quantity = None + carbon: pint.Quantity = None # carbon amount if using manual type + ctype: pint.Quantity = None # carbon type if using manual model type + gpa: AbatementLevel = None + layers: int = None + type: str = None + + # operational parameters + power: pint.Quantity = None + op_ci: str = None + op_year: int = None + life_cycle: pint.Quantity = None + duty_cycle: float = None + + # cost parameters + cost: str = 0 * dollar + + def unit_or_default(self, quant, default=None): + """Convert a quantity to units or return a default value. + + Args: + quant: The quantity to convert (string or pint.Quantity). + default: Default value if quant is not a valid quantity. + + Returns: + pint.Quantity: The converted quantity or default value. + """ + if isinstance(quant, str): + return units(quant) + elif isinstance(quant, pint.Quantity): + return quant + else: + return default + + def __post_init__(self): + # cast embodied carbon fields + self.area = self.unit_or_default(self.area) + self.weight = self.unit_or_default(self.weight) + self.capacity = self.unit_or_default(self.capacity) + try: + self.model = ModelType(self.model) + except ValueError: + valid_types = ", ".join(t.value for t in ModelType) + log.critical( + f"Device '{self.name}': Unknown model type '{self.model}'. " + f"Valid model types are: {valid_types}" + ) + exit(-1) + self.size = self.unit_or_default(self.size) + self.carbon = self.unit_or_default(self.carbon) + self.ctype = ( + SourceType(self.ctype) if self.ctype is not None else SourceType.FABRICATION + ) + self.gpa = ( + AbatementLevel(self.gpa) if self.gpa is not None else AbatementLevel.GPA97 + ) + + if self.process is not None and isinstance(self.process, str): + self.process = self.process.replace( + " ", "" + ) # trim any accidental whitespace + if self.model in (ModelType.LOGIC, ModelType.IMEC_LOGIC, ModelType.AP): + if self.process is not None: + original_process = self.process + self.process, was_rounded = resolve_logic_process_with_rounding( + self.process + ) + if was_rounded: + log.warning( + f"Device '{self.name}': Technology node '{original_process}' is not available. " + f"Rounding to next largest available node: '{self.process.value}'." + ) + else: + self.process = LogicProcess.NA + elif self.model is ModelType.DRAM: + self.process = ( + DRAMProcess(self.process) + if self.process is not None + else DRAMProcess.NA + ) + elif self.model is ModelType.FLASH: + self.process = ( + SSDProcess(self.process) if self.process is not None else SSDProcess.NA + ) + elif self.model is ModelType.HDD: + self.process = ( + HDDProcess(self.process) if self.process is not None else HDDProcess.NA + ) + elif self.model is ModelType.MANUAL: + self.process = resolve_process(self.process) + else: # by default convert with logic process for now + self.process = LogicProcess.NA + + if self.model is ModelType.CAPACITOR: + if self.type: + try: + self.type = CapacitorType(self.type) + except ValueError: + valid_types = ", ".join(t.value for t in CapacitorType) + log.critical( + f"Device '{self.name}': Unsupported capacitor type '{self.type}'. " + f"Valid capacitor types are: {valid_types}" + ) + exit(-1) + else: + log.critical( + f"Device '{self.name}': Capacitor type must be specified. " + f"Valid capacitor types are: {', '.join(t.value for t in CapacitorType)}" + ) + exit(-1) + elif self.model is ModelType.MATERIALS: + self.type = self.type if self.type else NA + elif self.model is ModelType.BATTERY: + self.type = self.type if self.type else None + + # validate physical quantities + if self.area is not None and self.area.magnitude < 0: + log.critical( + f"Device '{self.name}': Area cannot be negative ({self.area}). " + f"Please fix the bill of materials." + ) + exit(-1) + if self.size is not None and self.size.magnitude < 0: + log.critical( + f"Device '{self.name}': Size cannot be negative ({self.size}). " + f"Please fix the bill of materials." + ) + exit(-1) + if self.carbon is not None and self.carbon.magnitude < 0: + log.critical( + f"Device '{self.name}': Carbon cannot be negative ({self.carbon}). " + f"Please fix the bill of materials." + ) + exit(-1) + if self.fab_yield is not None and (self.fab_yield <= 0 or self.fab_yield > 1.0): + log.critical( + f"Device '{self.name}': Fabrication yield must be between 0 (exclusive) " + f"and 1.0 (inclusive), got {self.fab_yield}. " + f"Please fix the bill of materials." + ) + exit(-1) + + # cast operating power fields + self.power = self.unit_or_default(self.power, default=0 * mW) + self.life_cycle = self.unit_or_default(self.life_cycle) + if not isinstance(self.built, int) and self.built is not None: + self.built = int(self.built) + if not isinstance(self.op_year, int) and self.op_year is not None: + self.op_year = int(self.op_year) + + # cast cost fields + self.cost = self.unit_or_default(self.cost) + if isinstance(self.cost, (int, float)): + self.cost = self.cost * dollar + + def set_op_parameters(self, op_ci, op_year, duty_cycle, life_cycle, override=True): + """Set operational parameters for this device. + + Args: + op_ci (str): Operational carbon intensity setting. + op_year (int): Year for operational carbon intensity lookup. + duty_cycle (float): Device utilization rate. + life_cycle (pint.Quantity): Hardware life cycle. + override (bool): If True, override existing values. If False, only set if not already defined. + """ + if override: + self.op_ci = op_ci + self.op_year = op_year + self.duty_cycle = duty_cycle + self.life_cycle = life_cycle + else: + if self.op_ci is None: + self.op_ci = op_ci + if self.op_year is None: + self.op_year = op_year + if self.duty_cycle is None: + self.duty_cycle = duty_cycle + if self.life_cycle is None: + self.life_cycle = life_cycle + + +# put the device data fields into globals so that validation can refer to them +__DEVICE_DATA_INST__ = DeviceData() +_fields = dataclass_fields(__DEVICE_DATA_INST__) +DEVICE_FIELDS = {field.name.upper(): field.name for field in _fields} +globals().update(DEVICE_FIELDS) diff --git a/core/dse/__init__.py b/core/dse/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/dse/dse_manager.py b/core/dse/dse_manager.py new file mode 100644 index 0000000..15055e1 --- /dev/null +++ b/core/dse/dse_manager.py @@ -0,0 +1,248 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import copy +import logging +import os +import tempfile + +from act.core.act_model import ACTModel, VIRTUAL_POWER_DEVICE +from act.core.gui.cards.dse_card import DSECard +from act.core.processes import LOGIC_DATA, LogicProcess +from act.core.scaling.scaling_config import ScalingConfig +from act.core.utils.logger import log + + +class DSEManager: + """Design Space Exploration manager for projecting carbon emissions over time. + + Attributes: + out_dir (str): Output directory for results. + base_bom (BOM): The base bill of materials. + model_args (dict): Arguments for ACTModel initialization. + query_args (dict): Arguments for carbon queries. + base_act (ACTModel): Base ACT model for baseline emissions. + ci_latest_runs (dict[int, ACTModel]): Carbon intensity runs with latest year synchronization. + ts_latest_runs (dict[int, ACTModel]): Technology scaling runs with latest year synchronization. + ci_inc_runs (dict[int, ACTModel]): Carbon intensity runs with incremental year offsets. + ts_inc_runs (dict[int, ACTModel]): Technology scaling runs with incremental year offsets. + """ + + def __init__(self, bom, model_args, query_args, base_act=None, out_dir=None): + """Initialize the DSE Manager. + + Args: + bom (BOM): The bill of materials used in the analysis. + model_args (dict): Arguments for ACTModel initialization. + query_args (dict): Arguments for carbon queries. + base_act (ACTModel): Optional pre-computed base ACT model. + out_dir (str): Output directory for results. + """ + + if out_dir is None: + self.out_dir = tempfile.TemporaryDirectory(prefix="act_out_").name + else: + self.out_dir = out_dir + + if not os.path.exists(self.out_dir): + os.makedirs(self.out_dir, exist_ok=True) + + self.base_bom = bom + self.model_args = model_args + self.query_args = query_args + del query_args["bom"] + + self.base_act: ACTModel = base_act + + self.ci_latest_runs: dict[int, ACTModel] = {} + self.ts_latest_runs: dict[int, ACTModel] = {} + self.ci_inc_runs: dict[int, ACTModel] = {} + self.ts_inc_runs: dict[int, ACTModel] = {} + + def run(self): + """Execute all design space exploration analyses. + + Runs carbon intensity and technology scaling analyses with both + latest-year synchronization and incremental year offsets. + """ + # initialize a base ACT model for the baseline emissions + if self.base_act is None: + self.base_act = ACTModel(**self.model_args) + self.base_act.get_carbon(**self.query_args, bom=self.base_bom) + + # disable logging over multiprocessing threads + log.info("Executing design space exploration ACT runs...") + current_level = log.level + log.setLevel(logging.ERROR) + + # run each analysis and launch a bunch of concurrent threads + self.run_latest_ci_analysis() + self.run_inc_ci_analysis() + self.run_latest_ts_analysis() + self.run_inc_ts_analysis() + + # reset the log level after DSE sweeps are done + log.setLevel(current_level) + log.info("Done executing design space exploration ACT runs...") + + def run_latest_ci_analysis(self, num_years: int = 10): + """Run carbon intensity analysis with synchronized latest manufacturing date. + + Sets the target dates to the latest manufacturing date and synchronizes + it across all devices. Assumes static device technology nodes. + + Args: + num_years (int): Number of years to project forward. + """ + + # autodetect the manufacturing date of the latest device + max_year = self.get_latest_built_year() + + # run CI scaling by generating a scaling configuration for each target year + for year in range(max_year, max_year + num_years): + scaling_paths = {} + for dname in self.base_act.bom.devices.keys(): + scaling_paths[dname] = {"year": year} + scaling_config = ScalingConfig( + name=f"DSE CI Run {year}", scaling_paths=scaling_paths + ) + + bom = copy.deepcopy(self.base_bom) + act = ACTModel(**self.model_args, scaling_config=scaling_config) + act.get_carbon(**self.query_args, bom=bom) + self.ci_latest_runs[year] = act + + def run_inc_ci_analysis(self, num_years: int = 10): + """Run carbon intensity analysis with incremental year offsets. + + Sets the target CI operating dates to be relative to each device's + original build year. + + Args: + num_years (int): Number of years to project forward. + """ + self.ci_inc_runs[0] = self.base_act + for delta in range(1, num_years + 1): + scaling_paths = {} + for dname, dev in self.base_act.bom.devices.items(): + scaling_paths[dname] = {"year": dev.built + delta} + scaling_config = ScalingConfig( + name=f"DSE CI Run +{delta}", scaling_paths=scaling_paths + ) + + bom = copy.deepcopy(self.base_bom) + act = ACTModel(**self.model_args, scaling_config=scaling_config) + act.get_carbon(**self.query_args, bom=bom) + self.ci_inc_runs[delta] = act + + def _get_closest_logic_process(self, year): + """Get the closest logic process for a given year. + + Args: + year (int): Target year to find the closest process for. + + Returns: + LogicProcess: The closest logic process available for the given year. + """ + # get the closest logic tech process for the year where an entry in the logic model exists + closest_delta = float("inf") + closest_process = None + for process, process_data in LOGIC_DATA.items(): + if process_data is None or process_data.year is None: + continue + delta = abs(process_data.year - year) + if process_data.year <= year and delta < closest_delta: + closest_delta = delta + closest_process = process + return closest_process + + def run_latest_ts_analysis(self, num_years: int = 10): + """Run technology scaling analysis with synchronized latest year. + + Sets the target year to the bleeding edge tech node for the target year + and synchronizes it across all devices. Assumes static carbon intensity. + + Args: + num_years (int): Number of years to project forward. + """ + + # autodetect the manufacturing date of the latest device + max_year = self.get_latest_built_year() + + # run the technology scaling + for year in range(max_year, max_year + num_years): + scaling_paths = {} + for dname, dev in self.base_act.bom.devices.items(): + if ( + type(dev.process) is LogicProcess + and dev.process is not LogicProcess.NA + ): + scaling_paths[dname] = { + "process": self._get_closest_logic_process(year) + } + scaling_config = ScalingConfig( + name=f"DSE Tech Scaling Run {year}", scaling_paths=scaling_paths + ) + + bom = copy.deepcopy(self.base_bom) + act = ACTModel(**self.model_args, scaling_config=scaling_config) + act.get_carbon(**self.query_args, bom=bom) + self.ts_latest_runs[year] = act + + def run_inc_ts_analysis(self, num_years: int = 10): + """Run technology scaling analysis with incremental year offsets. + + Runs technology scaling with incremental updates relative to each + device's original build year. + + Args: + num_years (int): Number of years to project forward. + """ + # run the technology scaling with incremental updates + self.ts_inc_runs[0] = self.base_act + for delta in range(1, num_years + 1): + scaling_paths = {} + for dname, dev in self.base_act.bom.devices.items(): + if ( + type(dev.process) is LogicProcess + and dev.process is not LogicProcess.NA + ): + scaling_paths[dname] = { + "process": self._get_closest_logic_process(dev.built + delta) + } + scaling_config = ScalingConfig( + name=f"DSE Tech Scaling +{delta}", scaling_paths=scaling_paths + ) + + bom = copy.deepcopy(self.base_bom) + act = ACTModel(**self.model_args, scaling_config=scaling_config) + act.get_carbon(**self.query_args, bom=bom) + self.ts_inc_runs[delta] = act + + def get_latest_built_year(self): + """Get the latest build year across all devices in the BOM. + + Returns: + int: The maximum build year found among all devices. + """ + bom = self.base_act.bom + max_year = max( + [ + dev.built + for dname, dev in bom.devices.items() + if dname != VIRTUAL_POWER_DEVICE + ] + ) + return max_year + + def get_dse_cards(self): + """Generate dashboard cards for DSE results. + + Returns: + list[DSECard]: List of dashboard cards for displaying DSE results. + """ + cards = [DSECard(dse_manager=self)] + return cards diff --git a/core/gui/__init__.py b/core/gui/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/gui/act_dashboard.py b/core/gui/act_dashboard.py new file mode 100644 index 0000000..57fa116 --- /dev/null +++ b/core/gui/act_dashboard.py @@ -0,0 +1,290 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import importlib.resources +import os +import shutil +import tempfile + +import htmlark +from act.core.gui.cards.bill_of_materials_card import BillOfMaterialsCard +from act.core.gui.cards.carbon_card import CarbonCard +from act.core.gui.cards.cost_card import CostCard +from act.core.gui.cards.scalability_card import ScalabilityCard +from act.core.gui.cards.sim_info_card import SimInfoCard +from act.core.gui.cards.supply_chain_card import SupplyChainCard +from act.core.gui.tabs import Tabs +from act.core.utils.logger import log +from jinja2 import Template +from requests import RequestException + + +class ACTDashboard: + """ + A dashboard for displaying Architecture Carbon Tool (ACT) results. + + This class handles the creation and rendering of a dashboard with various cards + displaying different aspects of the ACT analysis results. It can generate both + standard HTML files and self-contained packed HTML files with all assets embedded. + + The dashboard uses a tabbed interface to organize different cards, each showing + specific information about the carbon analysis. + """ + + def __init__( + self, + act, + html_file: str = "act.html", + out_dir: str = None, + export_plot=False, + init_tab=None, + test=False, + description="Default System Name", + dashboard_title="Architecture Carbon Tool Results", + ): + """ + Initialize the ACT Dashboard. + + Args: + act: The ACT analysis object containing results data + html_file (str): Filename for the output HTML file + out_dir (str, optional): Directory to output the HTML files. If None, a temporary directory is created + export_plot (bool): Whether to export plots as separate files + init_tab: The initial tab to display when the dashboard is loaded + test (bool): Whether the dashboard is being generated for testing purposes + description (str): Description of the system being analyzed + dashboard_title (str): Title to display on the dashboard + + The constructor sets up the dashboard structure and copies required template files + to the output directory. + """ + self.html_file = html_file + self.export_plot = export_plot + self.cards = [] + self.init_tab = init_tab + self.test = test + self.description = description + self.dashboard_title = dashboard_title + self.uri = None + self.act = act + + if out_dir is not None: + self.out_dir = out_dir + else: + temp_out = tempfile.TemporaryDirectory(prefix="act_ui_").name + self.out_dir = temp_out + self.packed_html_file = None + + # copy out the html template to the output directory + self.copy_templates(self.out_dir) + + def generate_dashboard(self, extra_cards=None): + """ + Generate the complete dashboard with all standard cards. + + Creates and adds the standard set of cards to the dashboard: + - Carbon card + - Supply chain card + - Bill of materials card + - Analysis info card + + Then renders the dashboard to HTML. + """ + carbon_card = CarbonCard(act=self.act) + self.add_card(carbon_card) + + cost_card = CostCard(act=self.act) + self.add_card(cost_card) + + supply_chain_card = SupplyChainCard(act=self.act) + self.add_card(supply_chain_card) + + bill_of_materials_card = BillOfMaterialsCard(act=self.act) + self.add_card(bill_of_materials_card) + + scalability_card = ScalabilityCard(act=self.act) + self.add_card(scalability_card) + + if extra_cards is not None: + for card in extra_cards: + self.add_card(card) + + sim_info_card = SimInfoCard(act=self.act) + self.add_card(sim_info_card) + + self.render() + + def copy_templates(self, html_path="html"): + """ + Copy HTML template files to the specified output directory. + + This method copies all HTML template files from the package's assets.html + directory to the specified output directory. These templates are necessary + for rendering the dashboard with proper styling and layout. + + Args: + html_path (str, optional): Path where HTML template files should be copied. + Defaults to "html" in the current directory. + + The function ensures the destination directory exists, creating it if necessary, + and preserves the original filenames during copying. + + Note: + This method is called during dashboard initialization to ensure all required + template files are available in the output directory before rendering + the dashboard. + """ + template_files = importlib.resources.files(__package__ + ".assets.html") + html_path = os.path.abspath(html_path) + "/" + if not os.path.exists(html_path): + os.makedirs(html_path, exist_ok=True) + + for template_file in template_files.iterdir(): + fname = os.path.basename(template_file) + shutil.copyfile(template_file, os.path.join(html_path, fname)) + + def render(self): + """ + Converts the dashboard assets to HTML. + + Generates the HTML for all cards, creates the tabbed interface, + and produces both a standard HTML file and a self-contained packed + HTML file with all assets embedded (unless in test mode). + The packed HTML file contains all resources embedded within it for easy sharing. + + Raises: + AssertionError: If no cards have been added to the dashboard + """ + + assert len(self.cards) > 0, ( + "No dashboard cards were added. Dashboard must have at least 1 card added to render properly." + ) + + # create the tab html content + content = Tabs( + id="tabs", + title=self.dashboard_title, + content=self.cards, + ) + + # convert the contents to html with initial tab specification + plot_data = [content.to_html(initial_tab=self.init_tab)] + + index_file = os.path.join(self.out_dir, "index.html") + + self.generate_html("".join(plot_data), index_file=index_file) + + # Render the packed static html result + packed_html = "" + if not self.test: + try: + packed_html = htmlark.convert_page( + index_file, + ignore_errors=True, + ) + except (ValueError, OSError, NameError, RequestException) as e: + log.error(e) + log.error("Could not create a single file HTML dashboard.") + + # Write out the packed HTML + self.packed_html_file = os.path.join(self.out_dir, self.html_file) + with open(self.packed_html_file, "w") as fd: + fd.write(packed_html) + + def get_html_import_path(self): + """ + Return the package path for importing HTML assets. + + Returns: + str: The fully qualified package path where HTML template assets are stored. + This path is used by importlib.resources to locate and load HTML templates + needed for dashboard rendering. + + This method provides a consistent way to access the HTML template assets + regardless of where the package is installed in the Python environment. + """ + return __package__ + ".assets.html" + + def generate_html(self, payload, index_file="index.html"): + """ + Generate HTML content for the dashboard using templates. + + This method loads the HTML template from the package resources, applies the + provided payload content using Jinja2 templating, and writes the resulting + HTML to the specified output file. + + Args: + payload (str): The HTML content to insert into the template, typically + containing the tabbed interface with all dashboard cards. + index_file (str, optional): Path where the generated HTML file should be saved. + Defaults to "index.html" in the current directory. + """ + # load the html template + import_path = self.get_html_import_path() + with importlib.resources.path(import_path, "index.html") as resource_path: + with open(resource_path) as handle: + html_template = handle.read() + + # jinja the template with the results + jinja_template = Template(html_template, autoescape=True) + dashboard_html = jinja_template.render( + {"tab_payload": payload, "page_title": "Architecture Carbon Tool Results"} + ) + + with open(index_file, "w") as handle: + handle.write(dashboard_html) + + def add_card(self, card): + """ + Add a single card to the dashboard. + + Args: + card: The card object to add to the dashboard + """ + self.cards.append(card) + + def add_cards(self, cards): + """ + Add multiple cards to the dashboard at once. + + Args: + cards: A list of card objects to add to the dashboard + """ + self.cards.extend(cards) + + def get_card(self, cid=None, title=None): + """ + Find and return a dashboard card matching the specified criteria. + + Args: + cid (str, optional): The ID of the card to find. If None, this criterion is ignored. + title (str, optional): The title of the card to find. If None, this criterion is ignored. + + Returns: + Card: The first card that matches all specified criteria, or None if no match is found. + If both cid and title are None, the first card will be returned. + """ + for card in self.cards: + if (card.id == cid or cid is None) and ( + card.title == title or title is None + ): + return card + return None + + def get_card_by_type(self, ctype): + """ + Find and return the first dashboard card matching the specified type. + + Args: + ctype: The class type to match against cards in the dashboard + + Returns: + The first card that matches the specified type, or None if no match is found + """ + for c in self.cards: + if isinstance(c, ctype): + return c + return None diff --git a/core/gui/assets/html/bootstrap.min.css b/core/gui/assets/html/bootstrap.min.css new file mode 100644 index 0000000..08e79f3 --- /dev/null +++ b/core/gui/assets/html/bootstrap.min.css @@ -0,0 +1,7 @@ +@charset "UTF-8";/*! + * Bootstrap v5.2.3 (https://getbootstrap.com/) 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"/")}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:#fff;--bs-pagination-border-width:1px;--bs-pagination-border-color:#dee2e6;--bs-pagination-border-radius:0.375rem;--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:#e9ecef;--bs-pagination-hover-border-color:#dee2e6;--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:#e9ecef;--bs-pagination-focus-box-shadow:0 0 0 0.25rem rgba(13, 110, 253, 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.page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x:1.5rem;--bs-pagination-padding-y:0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius:0.5rem}.pagination-sm{--bs-pagination-padding-x:0.5rem;--bs-pagination-padding-y:0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius:0.25rem}.badge{--bs-badge-padding-x:0.65em;--bs-badge-padding-y:0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight:700;--bs-badge-color:#fff;--bs-badge-border-radius:0.375rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:1px solid var(--bs-alert-border-color);--bs-alert-border-radius:0.375rem;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color:#084298;--bs-alert-bg:#cfe2ff;--bs-alert-border-color:#b6d4fe}.alert-primary .alert-link{color:#06357a}.alert-secondary{--bs-alert-color:#41464b;--bs-alert-bg:#e2e3e5;--bs-alert-border-color:#d3d6d8}.alert-secondary .alert-link{color:#34383c}.alert-success{--bs-alert-color:#0f5132;--bs-alert-bg:#d1e7dd;--bs-alert-border-color:#badbcc}.alert-success .alert-link{color:#0c4128}.alert-info{--bs-alert-color:#055160;--bs-alert-bg:#cff4fc;--bs-alert-border-color:#b6effb}.alert-info .alert-link{color:#04414d}.alert-warning{--bs-alert-color:#664d03;--bs-alert-bg:#fff3cd;--bs-alert-border-color:#ffecb5}.alert-warning .alert-link{color:#523e02}.alert-danger{--bs-alert-color:#842029;--bs-alert-bg:#f8d7da;--bs-alert-border-color:#f5c2c7}.alert-danger .alert-link{color:#6a1a21}.alert-light{--bs-alert-color:#636464;--bs-alert-bg:#fefefe;--bs-alert-border-color:#fdfdfe}.alert-light .alert-link{color:#4f5050}.alert-dark{--bs-alert-color:#141619;--bs-alert-bg:#d3d3d4;--bs-alert-border-color:#bcbebf}.alert-dark .alert-link{color:#101214}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress{--bs-progress-height:1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg:#e9ecef;--bs-progress-border-radius:0.375rem;--bs-progress-box-shadow:inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color:#fff;--bs-progress-bar-bg:#0d6efd;--bs-progress-bar-transition:width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media 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". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:focus,.list-group-item-action:hover{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * 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(min-width:576px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:768px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:992px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{color:#084298;background-color:#cfe2ff}.list-group-item-primary.list-group-item-action:focus,.list-group-item-primary.list-group-item-action:hover{color:#084298;background-color:#bacbe6}.list-group-item-primary.list-group-item-action.active{color:#fff;background-color:#084298;border-color:#084298}.list-group-item-secondary{color:#41464b;background-color:#e2e3e5}.list-group-item-secondary.list-group-item-action:focus,.list-group-item-secondary.list-group-item-action:hover{color:#41464b;background-color:#cbccce}.list-group-item-secondary.list-group-item-action.active{color:#fff;background-color:#41464b;border-color:#41464b}.list-group-item-success{color:#0f5132;background-color:#d1e7dd}.list-group-item-success.list-group-item-action:focus,.list-group-item-success.list-group-item-action:hover{color:#0f5132;background-color:#bcd0c7}.list-group-item-success.list-group-item-action.active{color:#fff;background-color:#0f5132;border-color:#0f5132}.list-group-item-info{color:#055160;background-color:#cff4fc}.list-group-item-info.list-group-item-action:focus,.list-group-item-info.list-group-item-action:hover{color:#055160;background-color:#badce3}.list-group-item-info.list-group-item-action.active{color:#fff;background-color:#055160;border-color:#055160}.list-group-item-warning{color:#664d03;background-color:#fff3cd}.list-group-item-warning.list-group-item-action:focus,.list-group-item-warning.list-group-item-action:hover{color:#664d03;background-color:#e6dbb9}.list-group-item-warning.list-group-item-action.active{color:#fff;background-color:#664d03;border-color:#664d03}.list-group-item-danger{color:#842029;background-color:#f8d7da}.list-group-item-danger.list-group-item-action:focus,.list-group-item-danger.list-group-item-action:hover{color:#842029;background-color:#dfc2c4}.list-group-item-danger.list-group-item-action.active{color:#fff;background-color:#842029;border-color:#842029}.list-group-item-light{color:#636464;background-color:#fefefe}.list-group-item-light.list-group-item-action:focus,.list-group-item-light.list-group-item-action:hover{color:#636464;background-color:#e5e5e5}.list-group-item-light.list-group-item-action.active{color:#fff;background-color:#636464;border-color:#636464}.list-group-item-dark{color:#141619;background-color:#d3d3d4}.list-group-item-dark.list-group-item-action:focus,.list-group-item-dark.list-group-item-action:hover{color:#141619;background-color:#bebebf}.list-group-item-dark.list-group-item-action.active{color:#fff;background-color:#141619;border-color:#141619}.btn-close{box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:#000;background:transparent url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e") center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:.5}.btn-close:hover{color:#000;text-decoration:none;opacity:.75}.btn-close:focus{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,.25);opacity:1}.btn-close.disabled,.btn-close:disabled{pointer-events:none;-webkit-user-select:none;-moz-user-select:none;user-select:none;opacity:.25}.btn-close-white{filter:invert(1) grayscale(100%) brightness(200%)}.toast{--bs-toast-zindex:1090;--bs-toast-padding-x:0.75rem;--bs-toast-padding-y:0.5rem;--bs-toast-spacing:1.5rem;--bs-toast-max-width:350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg:rgba(255, 255, 255, 0.85);--bs-toast-border-width:1px;--bs-toast-border-color:var(--bs-border-color-translucent);--bs-toast-border-radius:0.375rem;--bs-toast-box-shadow:0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color:#6c757d;--bs-toast-header-bg:rgba(255, 255, 255, 0.85);--bs-toast-header-border-color:rgba(0, 0, 0, 0.05);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex:1090;position:absolute;z-index:var(--bs-toast-zindex);width:-webkit-max-content;width:-moz-max-content;width:max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * 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t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!$.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))$.off(t,"mouseover",_);this._popper&&this._popper.destroy(),this._menu.classList.remove(Et),this._element.classList.remove(Et),this._element.setAttribute("aria-expanded","false"),W.removeDataAttribute(this._menu,"popper"),$.trigger(this._element,"hidden.bs.dropdown",t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!l(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${bt.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===i)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:l(this._config.reference)?t=c(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=i.createPopper(t,this._menu,e)}_isShown(){return this._menu.classList.contains(Et)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Dt;if(t.classList.contains("dropstart"))return Nt;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Ot:Lt:e?St:It}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(W.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=U.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>h(t)));i.length&&w(i,e,t===yt,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Mt.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=U.find(Tt);for(const i of e){const e=Mt.getInstance(i);if(!e||!1===e._config.autoClose)continue;const s=t.composedPath(),n=s.includes(e._menu);if(s.includes(e._element)||"inside"===e._config.autoClose&&!n||"outside"===e._config.autoClose&&n)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,s=[vt,yt].includes(t.key);if(!s&&!i)return;if(e&&!i)return;t.preventDefault();const n=this.matches(Ct)?this:U.prev(this,Ct)[0]||U.next(this,Ct)[0]||U.findOne(Ct,t.delegateTarget.parentNode),o=Mt.getOrCreateInstance(n);if(s)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),n.focus())}}$.on(document,At,Ct,Mt.dataApiKeydownHandler),$.on(document,At,kt,Mt.dataApiKeydownHandler),$.on(document,wt,Mt.clearMenus),$.on(document,"keyup.bs.dropdown.data-api",Mt.clearMenus),$.on(document,wt,Ct,(function(t){t.preventDefault(),Mt.getOrCreateInstance(this).toggle()})),b(Mt);const jt=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",$t=".sticky-top",Ft="padding-right",zt="margin-right";class Ht{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,Ft,(e=>e+t)),this._setElementAttributes(jt,Ft,(e=>e+t)),this._setElementAttributes($t,zt,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,Ft),this._resetElementAttributes(jt,Ft),this._resetElementAttributes($t,zt)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const s=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+s)return;this._saveInitialAttribute(t,e);const n=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(n))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&W.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=W.getDataAttribute(t,e);null!==i?(W.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(l(t))e(t);else for(const i of U.find(t,this._element))e(i)}}const qt="show",Bt="mousedown.bs.backdrop",Wt={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Rt={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Vt extends R{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Wt}static get DefaultType(){return Rt}static get NAME(){return"backdrop"}show(t){if(!this._config.isVisible)return void v(t);this._append();const e=this._getElement();this._config.isAnimated&&g(e),e.classList.add(qt),this._emulateAnimation((()=>{v(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(qt),this._emulateAnimation((()=>{this.dispose(),v(t)}))):v(t)}dispose(){this._isAppended&&($.off(this._element,Bt),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=c(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),$.on(t,Bt,(()=>{v(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){y(t,this._getElement(),this._config.isAnimated)}}const Kt=".bs.focustrap",Qt="backward",Xt={autofocus:!0,trapElement:null},Yt={autofocus:"boolean",trapElement:"element"};class Ut extends R{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return Xt}static get DefaultType(){return Yt}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),$.off(document,Kt),$.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),$.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,$.off(document,Kt))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=U.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===Qt?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Qt:"forward")}}const Gt="hidden.bs.modal",Jt="show.bs.modal",Zt="modal-open",te="show",ee="modal-static",ie={backdrop:!0,focus:!0,keyboard:!0},se={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class ne extends V{constructor(t,e){super(t,e),this._dialog=U.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new Ht,this._addEventListeners()}static get Default(){return ie}static get DefaultType(){return se}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||$.trigger(this._element,Jt,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Zt),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&($.trigger(this._element,"hide.bs.modal").defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(te),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])$.off(t,".bs.modal");this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Vt({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ut({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=U.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),g(this._element),this._element.classList.add(te),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,$.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){$.on(this._element,"keydown.dismiss.bs.modal",(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),$.on(window,"resize.bs.modal",(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),$.on(this._element,"mousedown.dismiss.bs.modal",(t=>{$.one(this._element,"click.dismiss.bs.modal",(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Zt),this._resetAdjustments(),this._scrollBar.reset(),$.trigger(this._element,Gt)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if($.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(ee)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(ee),this._queueCallback((()=>{this._element.classList.remove(ee),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=m()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=m()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=ne.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}$.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=r(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),$.one(e,Jt,(t=>{t.defaultPrevented||$.one(e,Gt,(()=>{h(this)&&this.focus()}))}));const i=U.findOne(".modal.show");i&&ne.getInstance(i).hide(),ne.getOrCreateInstance(e).toggle(this)})),K(ne),b(ne);const oe="show",re="showing",ae="hiding",le=".offcanvas.show",ce="hidePrevented.bs.offcanvas",he="hidden.bs.offcanvas",de={backdrop:!0,keyboard:!0,scroll:!1},ue={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class _e extends V{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return de}static get DefaultType(){return ue}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||$.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new Ht).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(re),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(oe),this._element.classList.remove(re),$.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&($.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(ae),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(oe,ae),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new Ht).reset(),$.trigger(this._element,he)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Vt({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():$.trigger(this._element,ce)}:null})}_initializeFocusTrap(){return new Ut({trapElement:this._element})}_addEventListeners(){$.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():$.trigger(this._element,ce))}))}static jQueryInterface(t){return this.each((function(){const e=_e.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}$.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=r(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),d(this))return;$.one(e,he,(()=>{h(this)&&this.focus()}));const i=U.findOne(le);i&&i!==e&&_e.getInstance(i).hide(),_e.getOrCreateInstance(e).toggle(this)})),$.on(window,"load.bs.offcanvas.data-api",(()=>{for(const t of U.find(le))_e.getOrCreateInstance(t).show()})),$.on(window,"resize.bs.offcanvas",(()=>{for(const t of U.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&_e.getOrCreateInstance(t).hide()})),K(_e),b(_e);const ge=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),fe=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,pe=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,me=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!ge.has(i)||Boolean(fe.test(t.nodeValue)||pe.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},be={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},ve={allowList:be,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
"},ye={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},we={entry:"(string|element|function|null)",selector:"(string|element)"};class Ae extends R{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return ve}static get DefaultType(){return ye}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},we)}_setContent(t,e,i){const s=U.findOne(i,t);s&&((e=this._resolvePossibleFunction(e))?l(e)?this._putElementInTemplate(c(e),s):this._config.html?s.innerHTML=this._maybeSanitize(e):s.textContent=e:s.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const s=(new window.DOMParser).parseFromString(t,"text/html"),n=[].concat(...s.body.querySelectorAll("*"));for(const t of n){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const s=[].concat(...t.attributes),n=[].concat(e["*"]||[],e[i]||[]);for(const e of s)me(e,n)||t.removeAttribute(e.nodeName)}return s.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Ee=new Set(["sanitize","allowList","sanitizeFn"]),Ce="fade",Te="show",ke=".modal",Le="hide.bs.modal",Oe="hover",Ie="focus",Se={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},De={allowList:be,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},Ne={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class Pe extends V{constructor(t,e){if(void 0===i)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return De}static get DefaultType(){return Ne}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),$.off(this._element.closest(ke),Le,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=$.trigger(this._element,this.constructor.eventName("show")),e=(u(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:s}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(s.append(i),$.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(Te),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))$.on(t,"mouseover",_);this._queueCallback((()=>{$.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!$.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(Te),"ontouchstart"in document.documentElement)for(const t 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e.setAttribute("id",i),this._isAnimated()&&e.classList.add(Ce),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Ae({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(Ce)}_isShown(){return this.tip&&this.tip.classList.contains(Te)}_createPopper(t){const e="function"==typeof 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this._element.classList.contains(ti)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){$.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),$.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),$.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),$.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=ni.getOrCreateInstance(this,t);if("string"==typeof t){if(void 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+

{{ page_title }}

+
+ +
+ {{ tab_payload | safe }} +
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0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(Xt,Zt,c,Wt.commonLabelBoundingBox),z(Xt,Zt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Jt=g.getComponentMethod("annotations","hasClickToShow")(t,Ot);f(n.select(s),Jt?"pointer":"")}s&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt)&&(Pt&&t.emit("plotly_unhover",{event:e,points:Pt}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:q,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,"gl3d")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\s\S]*)<\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+"Label",D=A[O];if(void 0===D&&"multicategory"===E.type)for(var z=0;zi.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+b+"v"+x+(2*S+m.height)+"H-"+b+"V"+x+M+"H-"+M+"Z"),Y.minX=g-b,Y.maxX=g+b,"top"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+m.height/2)+"h"+P+(2*S+m.width)+"V-"+(S+m.height/2)+"H"+P+M+"V-"+M+"Z"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),"right"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R="clip"+i._uid+"commonlabel"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,"top"!==t.idealAlign&&G||!Z?G?(O+=R/2,t.anchor="start"):t.anchor="middle":(O-=R/2,t.anchor="end"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,Z=P-z/2-Y>=0,"left"!==t.idealAlign&&G||!Z)if(G)P+=z/2,t.anchor="start";else{t.anchor="middle";var W=Y/2,X=P+W-B,J=P-W;X>0&&(P-=X),J<0&&(P+=-J)}else P-=z/2,t.anchor="end";t.crossPos=P}w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,O)+(u?l(_):""))})),{hoverLabels:wt,commonLabelBoundingBox:Y}}function I(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=N(t.name,t.nameLength));var u=r.charAt(0),c="x"===u?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"
"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"
"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[u+"Label"]===i?l=t[c+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"
":"")+t.text),void 0!==t.extraText&&(l+=(l?"
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i,s,l,u,f=r.select("text.nums"),p=t.anchor,d="end"===p?-1:1,v=(u=(l=(s={start:1,end:-1,middle:0}[(i=t).anchor])*(M+S))+s*(i.txwidth+S),"middle"===i.anchor&&(l-=i.tx2width/2,u+=i.txwidth/2+S),{alignShift:s,textShiftX:l,text2ShiftX:u}),g=D(t,e),y=g.x,m=g.y,x="middle"===p;r.select("path").attr("d",x?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(d*M+y)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(d*t.bx)+"v-"+o(t.by)+"H"+a(d*M+y)+"V"+o(m-M)+"Z");var b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||"auto";"auto"!==w&&("left"===w&&"start"!==p?(f.attr("text-anchor","start"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===w&&"end"!==p&&(f.attr("text-anchor","end"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select("text.name").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c("hoverinfo","hi","hoverinfo"),c("bgcolor","hbg","hoverlabel.bgcolor"),c("borderColor","hbc","hoverlabel.bordercolor"),c("fontFamily","htf","hoverlabel.font.family"),c("fontSize","hts","hoverlabel.font.size"),c("fontColor","htc","hoverlabel.font.color"),c("nameLength","hnl","hoverlabel.namelength"),c("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:v.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:v.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" ± "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" ± "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,"cursor"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var 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r,n,i,a=[];for(i=0;i0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(".select-outline-"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call("_guiRelayout",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g," 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,"path","maindrag",!1===t.dragmode?"none":"crosshair");n.select(F).attr("d",s.pathSubplot()).attr("transform",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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s=n(t,r([a,e])),l=s[0],u=s[1],c=n(t,r([o,e])),f=c[0],h=c[1];if(0===e)return["M"+l+","+u,"L"+f+","+h].join(" ");var p=i(t,1/Math.abs(e));return["M"+l+","+u,"A"+p+","+p+" 0 0,"+(e<0?1:0)+" "+f+","+h].join(" ")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),u=n(t,r([a,o])),c=u[0],f=u[1],h=n(t,r([a,s])),p=h[0],d=h[1];if(e(o)!==e(s)){var v=n(t,r([a,0]));return["M"+c+","+f,"A"+l+","+l+" 0 0,"+(00){for(var n=[],i=0;i=c&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function v(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o("uirevision",n.uirevision),e.type="linear";var p=o("color"),d=p!==i.color.dflt?p:r.font.color,v=e._name.charAt(0).toUpperCase(),g="Component 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M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:"linear",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:"x"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:"linear",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:"y"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var 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function(r){t.text(s+l(e(r))+o)}})):c(),u=M(s+i(r[0].y)+o,v.number.font,A,t)}(),z+=v.number.font.size+v.number.font.family+v.number.valueformat+v.number.suffix+v.number.prefix,h=u),v._hasDelta&&v._hasNumber){var R,F,B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=[(c.left+c.right)/2,(c.top+c.bottom)/2],j=.75*v.delta.font.size;"left"===v.delta.position&&(R=S(v,"deltaPos",0,-1*(u.width*b[v.align]+c.width*(1-b[v.align])+j),z,Math.min),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:c.left+R,right:u.right,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),"right"===v.delta.position&&(R=S(v,"deltaPos",0,u.width*(1-b[v.align])+c.width*b[v.align]+j,z,Math.max),F=B[1]-N[1],h={width:u.width+c.width+j,height:Math.max(u.height,c.height),left:u.left,right:c.right+R,top:Math.min(u.top,c.top+F),bottom:Math.max(u.bottom,c.bottom+F)}),"bottom"===v.delta.position&&(R=null,F=c.height,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height,bottom:u.bottom+c.height}),"top"===v.delta.position&&(R=null,F=u.top,h={width:Math.max(u.width,c.width),height:u.height+c.height,left:Math.min(u.left,c.left),right:Math.max(u.right,c.right),top:u.bottom-u.height-c.height,bottom:u.bottom}),D.attr({dx:R,dy:F})}(v._hasNumber||v._hasDelta)&&C.attr("transform",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=S(v,"numbersScale",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,"numbersTranslate",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var Z=I.selectAll("g.angular").data(z?e:[]);Z.exit().remove();var Y=I.selectAll("g.angularaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,H,q=j.select("path");w(M)?(q.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(U=N,V=L(r[0].lastY),H=L(r[0].y),function(){var t=i(V,H);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):q.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z"),q.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Z=_.selectAll("g.threshold-arc").data(F);Z.enter().append("g").classed("threshold-arc",!0).append("path"),Z.select("path").call(P).call(T),Z.exit().remove();var Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var W=I.selectAll("g.bullet").data(R?e:[]);W.exit().remove();var X=I.selectAll("g.bulletaxis").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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O=f.selectAll("g.value-bullet").data([c.gauge.bar]);O.enter().append("g").classed("value-bullet",!0).append("rect"),O.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?O.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll("g.threshold-bullet").data(I);D.enter().append("g").classed("threshold-bullet",!0).append("line"),D.select("line").attr("x1",i.c2p(c.gauge.threshold.value)).attr("x2",i.c2p(c.gauge.threshold.value)).attr("y1",(1-c.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style("stroke-width",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll("g.gauge-outline").data([g]);z.enter().append("g").classed("gauge-outline",!0).append("rect"),z.select("rect").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:W,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=I.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u=r(30962).overrideAll,c=t.exports=u(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 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A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var D=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(D),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", 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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,u,c=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),v=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),u=0;u0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:v,bands:[],parcatsViewModel:t},v=v+a+8,c.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:c,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}t.exports=function(t,e,r,n){h(r,t,n,e)}},45784:function(t,e,r){"use strict";var n=r(45460);t.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},73362:function(t,e,r){"use strict";var n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},57920:function(t,e,r){"use 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r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(v).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},71791:function(t,e,r){"use strict";t.exports={attributes:r(73362),supplyDefaults:r(3633),calc:r(24639),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(49351),categories:["gl","regl","noOpacity","noHover"],meta:{}}},49351:function(t,e,r){"use strict";var n=r(39898),i=r(27659).a0,a=r(21341),o=r(77922);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},24639:function(t,e,r){"use strict";var n=r(71828).isArrayOrTypedArray,i=r(21081),a=r(28984).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,"values",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,"labelfont",y),n.coerceFont(c,"tickfont",y),n.coerceFont(c,"rangefont",y),c("labelangle"),c("labelside"),c("unselected.line.color"),c("unselected.line.opacity")}},1602:function(t,e,r){"use strict";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!("visible"in t)}},67618:function(t,e,r){"use strict";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){"use strict";var n=r(56068),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n p17_20, p21_24, p25_28, p29_32,\n p33_36, p37_40, p41_44, p45_48,\n p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n return (\n fOutside(p[0], lo[0], hi[0]) ||\n fOutside(p[1], lo[1], hi[1]) ||\n fOutside(p[2], lo[2], hi[2]) ||\n fOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n return (\n vOutside(p[0], lo[0], hi[0]) ||\n vOutside(p[1], lo[1], hi[1]) ||\n vOutside(p[2], lo[2], hi[2]) ||\n vOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n return mOutside(A, loA, hiA) ||\n mOutside(B, loB, hiB) ||\n mOutside(C, loC, hiC) ||\n mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n mat4 pnts[4];\n pnts[0] = A;\n pnts[1] = B;\n pnts[2] = C;\n pnts[3] = D;\n\n for(int i = 0; i < 4; ++i) {\n for(int j = 0; j < 4; ++j) {\n for(int k = 0; k < 4; ++k) {\n if(0 == iMod(\n int(255.0 * texture2D(maskTexture,\n vec2(\n (float(i * 2 + j / 2) + 0.5) / 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n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return 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n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});t.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},pattern:c,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:u({},f,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:u({},f,{}),position:{valType:"enumerated",values:["top 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n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 0:r.paper_bgcolor);var a=n("marker.colors");l(n,"marker.pattern",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l("labels"),l("values")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l("label0"),l("dlabel")),h){e._length=h,c(t,e,n,l,!0),l("scalegroup");var p,d=l("text"),v=l("texttemplate");if(v||(p=l("textinfo",Array.isArray(d)?"text+percent":"percent")),l("hovertext"),l("hovertemplate"),v||p&&"none"!==p){var g=l("textposition");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&l("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&l("insidetextorientation")}o(e,n,l);var y=l("hole");if(l("title.text")){var m=l("title.position",y?"middle center":"top center");y||"middle center"!==m||(e.title.position="top center"),i.coerceFont(l,"title.font",n.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}}},20007:function(t,e,r){"use strict";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){"use strict";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){"use strict";var n=r(71828);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var 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x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var 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n=r(82196);t.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},42743:function(t,e,r){"use strict";var n=r(9330).gl_pointcloud2d,i=r(78614),a=r(71739).findExtremes,o=r(34603);function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 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e,r,n,o,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var v=i(t.marker.color),g=i(t.marker.border.color),y=t.opacity*t.marker.opacity;v[3]*=y,this.pointcloudOptions.color=v;var m=t.marker.blend;null===m&&(m=u.length<100||c.length<100),this.pointcloudOptions.blend=m,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},33876:function(t,e,r){"use strict";var n=r(71828),i=r(10959);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio"),e._length=null}},20593:function(t,e,r){"use strict";["*pointcloud* trace is deprecated!","Please consider switching to the *scattergl* trace type."].join(" 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s(t,e,r,n){this.type="scattermapbox",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol",cluster:"source-"+e+"-circle",clusterCount:"source-"+e+"-circle"},this.layerIds={fill:a+e+"-fill",line:a+e+"-line",circle:a+e+"-circle",symbol:a+e+"-symbol",cluster:a+e+"-cluster",clusterCount:a+e+"-cluster-count"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:"geojson",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource("circle",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup["trace-"+l.uid];if(u)for(f.addSource("circle",h.circle,l.cluster),r=0;r")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 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a=e.layers.frontplot.select("g.scatterlayer"),o=e.xaxis,s=e.yaxis,l={xaxis:o,yaxis:s,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},u=e.radialAxis,c=e.angularAxis,f=0;f=u&&(m.marker.cluster=d.tree),m.marker&&(m.markerSel.positions=m.markerUnsel.positions=m.marker.positions=_),m.line&&_.length>1&&l.extendFlat(m.line,s.linePositions(t,p,_)),m.text&&(l.extendFlat(m.text,{positions:_},s.textPosition(t,p,m.text,m.marker)),l.extendFlat(m.textSel,{positions:_},s.textPosition(t,p,m.text,m.markerSel)),l.extendFlat(m.textUnsel,{positions:_},s.textPosition(t,p,m.text,m.markerUnsel))),m.fill&&!h.fill2d&&(h.fill2d=!0),m.marker&&!h.scatter2d&&(h.scatter2d=!0),m.line&&!h.line2d&&(h.line2d=!0),m.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(m.line),h.fillOptions.push(m.fill),h.markerOptions.push(m.marker),h.markerSelectedOptions.push(m.markerSel),h.markerUnselectedOptions.push(m.markerUnsel),h.textOptions.push(m.text),h.textSelectedOptions.push(m.textSel),h.textUnselectedOptions.push(m.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=y,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}},t.exports.reglPrecompiled={}},48300:function(t,e,r){"use 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},43768:function(t,e,r){"use strict";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var 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yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n b - PI :\n b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\n // if ratio is set to 0.5 then it is 50%, 50%.\n // when using a higher ratio e.g. 0.75 the result would\n // likely be more horizontal than vertical.\n\n float b = positive_angle(a);\n\n return\n (b < ( ratio) * HALF_PI) ? 0.0 :\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n 0.0;\n}\n\nfloat roundTo(float a, float b) {\n return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n float b = positive_angle(a);\n float div = TWO_PI / float(n);\n float c = roundTo(b, div);\n return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n return\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\n rawAngle; // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n (axis.y == 0.0) &&\n (axis.z == 0.0);\n\nvoid main() {\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n\n float beta = angle; // i.e. user defined attributes for each tick\n\n float axisAngle;\n float clipAngle;\n float flip;\n\n if (enableAlign) {\n axisAngle = (isAxisTitle) ? HALF_PI :\n computeViewAngle(dataPosition, dataPosition + axis);\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n beta += applyAlignOption(clipAngle, flip * PI);\n }\n\n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n\n mat2 planeXform = scale * mat2(\n cos(beta), sin(beta),\n -sin(beta), cos(beta)\n );\n\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute clip position\n vec3 clipPosition = project(dataPosition);\n\n //Apply text offset in clip coordinates\n clipPosition += vec3(viewOffset, 0.0);\n\n //Done\n gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=""+l;if(o<0&&(c="-"+c),i){for(var f=""+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=r(9068);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this,a=i._gl,o=i._locations[i._index];a.vertexAttribPointer(o,i._dimension,t||a.FLOAT,!!e,r||0,n||0),a.enableVertexAttribArray(o)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var u=o[a],c=new i(t,e,r,n,a,u);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),u(t,n[r],e),e},get:function(){return c},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),u=new Array(i),c=0;c4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+m);t["uniformMatrix"+y+"fv"](s[f],!1,h);break}throw new i("","Unknown uniform data type for "+name+": "+m)}if((y=m.charCodeAt(m.length-1)-48)<2||y>4)throw new i("","Invalid data type");switch(m.charAt(0)){case"b":case"i":t["uniform"+y+"iv"](s[f],h);break;case"v":t["uniform"+y+"fv"](s[f],h);break;default:throw new i("","Unrecognized data type for vector "+name+": "+m)}}}}}}function u(t,e){if("object"!=typeof e)return[[t,e]];var r=[];for(var n in e){var i=e[n],a=t;parseInt(n)+""===n?a+="["+n+"]":a+="."+n,"object"==typeof i?r.push.apply(r,u(a,i)):r.push([a,i])}return r}function c(t,e,n){if("object"==typeof n){var u=f(n);Object.defineProperty(t,e,{get:a(u),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(c=n,function(t,e,r){return t.getUniform(e.program,r[c])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var c}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;re)return r-1}return r},s=function(t,e,r){return tr?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;nf-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color — in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var v=0,g=0,y=d(p,f.stride.slice());if("float32"===h?v=t.FLOAT:"float64"===h?(v=t.FLOAT,y=!1,h="float32"):"uint8"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h="uint8"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else 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L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Z),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Qt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,["boolean","string","number","null"]))throw new ge("Expected first argument to be of type boolean, string, number or null, but found "+Qt(pe(e))+" instead.");if(!ne(r,["string","array"]))throw new ge("Expected second argument to be of type array or string, but found "+Qt(pe(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Ar.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var Mr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Mr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;oNumber.MAX_SAFE_INTEGER)return u.error("Branch labels must be integers no larger than "+Number.MAX_SAFE_INTEGER+".");if("number"==typeof h&&Math.floor(h)!==h)return u.error("Numeric branch labels must be integer values.");if(r){if(u.checkSubtype(r,pe(h)))return null}else r=pe(h);if(void 0!==i[String(h)])return u.error("Branch labels must be unique.");i[String(h)]=a.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,a.push(p)}var d=e.parse(t[1],1,Wt);if(!d)return null;var v=e.parse(t[t.length-1],t.length-1,n);return v?"value"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new Mr(r,n,d,i,a,v):null},Mr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(pe(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},Mr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},Mr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},Mr.prototype.serialize=function(){for(var t=this,e=["match",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!re(r.type,[$t(Wt),qt,Wt]))return e.error("Expected first argument to be of type array or string, but found "+Qt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Er(r.type,r,n,i):null}return new Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,["string","array"]))throw new ge("Expected first argument to be of type array or string, but found "+Qt(pe(e))+" instead.");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return["slice",this.input.serialize(),this.beginIndex.serialize(),t]}return["slice",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr("==",(function(t,e,r){return e===r}),Cr),Ir=Pr("!=",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr("<",(function(t,e,r){return e",(function(t,e,r){return e>r}),(function(t,e,r,n){return n.compare(e,r)>0})),Rr=Pr("<=",(function(t,e,r){return e<=r}),(function(t,e,r,n){return n.compare(e,r)<=0})),Fr=Pr(">=",(function(t,e,r){return e>=r}),(function(t,e,r,n){return n.compare(e,r)>=0})),Br=function(t,e,r,n,i){this.type=qt,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i};Br.parse=function(t,e){if(3!==t.length)return e.error("Expected two arguments.");var r=e.parse(t[1],1,Ht);if(!r)return null;var n=t[2];if("object"!=typeof n||Array.isArray(n))return e.error("NumberFormat options argument must be an object.");var i=null;if(n.locale&&!(i=e.parse(n.locale,1,qt)))return null;var a=null;if(n.currency&&!(a=e.parse(n.currency,1,qt)))return null;var o=null;if(n["min-fraction-digits"]&&!(o=e.parse(n["min-fraction-digits"],1,Ht)))return null;var s=null;return n["max-fraction-digits"]&&!(s=e.parse(n["max-fraction-digits"],1,Ht))?null:new Br(r,i,a,o,s)},Br.prototype.evaluate=function(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?"currency":"decimal",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},Br.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},Br.prototype.outputDefined=function(){return!1},Br.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t["min-fraction-digits"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t["max-fraction-digits"]=this.maxFractionDigits.serialize()),["number-format",this.number.serialize(),t]};var Nr=function(t){this.type=Ht,this.input=t};Nr.parse=function(t,e){if(2!==t.length)return e.error("Expected 1 argument, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1);return r?"array"!==r.type.kind&&"string"!==r.type.kind&&"value"!==r.type.kind?e.error("Expected argument of type string or array, but found "+Qt(r.type)+" instead."):new Nr(r):null},Nr.prototype.evaluate=function(t){var e=this.input.evaluate(t);if("string"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new ge("Expected value to be of type string or array, but found "+Qt(pe(e))+" instead.")},Nr.prototype.eachChild=function(t){t(this.input)},Nr.prototype.outputDefined=function(){return!1},Nr.prototype.serialize=function(){var t=["length"];return this.eachChild((function(e){t.push(e.serialize())})),t};var jr={"==":Or,"!=":Ir,">":zr,"<":Dr,">=":Fr,"<=":Rr,array:me,at:Tr,boolean:me,case:Sr,coalesce:_r,collator:Me,format:xe,image:be,in:kr,"index-of":Ar,interpolate:xr,"interpolate-hcl":xr,"interpolate-lab":xr,length:Nr,let:wr,literal:ve,match:Mr,number:me,"number-format":Br,object:me,slice:Er,step:Ke,string:me,"to-boolean":we,"to-color":we,"to-number":we,"to-string":we,var:Ye,within:He};function Ur(t,e){var r=e[0],n=e[1],i=e[2],a=e[3];r=r.evaluate(t),n=n.evaluate(t),i=i.evaluate(t);var o=a?a.evaluate(t):1,s=fe(r,n,i,o);if(s)throw new ge(s);return new oe(r/255*o,n/255*o,i/255*o,o)}function Vr(t,e){return t in e}function Hr(t,e){var r=e[t];return void 0===r?null:r}function qr(t){return{type:t}}function Gr(t){return{result:"success",value:t}}function Zr(t){return{result:"error",value:t}}function Yr(t){return"data-driven"===t["property-type"]||"cross-faded-data-driven"===t["property-type"]}function Wr(t){return!!t.expression&&t.expression.parameters.indexOf("zoom")>-1}function Xr(t){return!!t.expression&&t.expression.interpolated}function Jr(t){return t instanceof Number?"number":t instanceof String?"string":t instanceof Boolean?"boolean":Array.isArray(t)?"array":null===t?"null":typeof t}function Kr(t){return"object"==typeof t&&null!==t&&!Array.isArray(t)}function $r(t){return t}function Qr(t,e){var r,n,i,a="color"===e.type,o=t.stops&&"object"==typeof t.stops[0][0],s=o||void 0!==t.property,l=o||!s,u=t.type||(Xr(e)?"exponential":"interval");if(a&&((t=Ft({},t)).stops&&(t.stops=t.stops.map((function(t){return[t[0],oe.parse(t[1])]}))),t.default?t.default=oe.parse(t.default):t.default=oe.parse(e.default)),t.colorSpace&&"rgb"!==t.colorSpace&&!mr[t.colorSpace])throw new Error("Unknown color space: "+t.colorSpace);if("exponential"===u)r=nn;else if("interval"===u)r=rn;else if("categorical"===u){r=en,n=Object.create(null);for(var c=0,f=t.stops;c=t.stops[n-1][0])return t.stops[n-1][1];var i=Je(t.stops.map((function(t){return t[0]})),r);return t.stops[i][1]}function nn(t,e,r){var n=void 0!==t.base?t.base:1;if("number"!==Jr(r))return tn(t.default,e.default);var i=t.stops.length;if(1===i)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[i-1][0])return t.stops[i-1][1];var a=Je(t.stops.map((function(t){return t[0]})),r),o=function(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],u=Qe[e.type]||$r;if(t.colorSpace&&"rgb"!==t.colorSpace){var c=mr[t.colorSpace];u=function(t,e){return c.reverse(c.interpolate(c.forward(t),c.forward(e),o))}}return"function"==typeof s.evaluate?{evaluate:function(){for(var t=[],e=arguments.length;e--;)t[e]=arguments[e];var r=s.evaluate.apply(void 0,t),n=l.evaluate.apply(void 0,t);if(void 0!==r&&void 0!==n)return u(r,n,o)}}:u(s,l,o)}function 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We(jr,[],e?function(t){var e={color:Zt,string:qt,number:Ht,enum:qt,boolean:Gt,formatted:Jt,resolvedImage:Kt};return"array"===t.type?$t(e[t.value]||Wt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&"string"===e.type?{typeAnnotation:"coerce"}:void 0);return n?Gr(new on(n,e)):Zr(r.errors)}on.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},on.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||"number"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new ge("Expected value to be one of "+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(", ")+", but found "+JSON.stringify(o)+" instead.");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,"undefined"!=typeof console&&console.warn(t.message)),this._defaultValue}};var un=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent="constant"!==t&&!Ge(e.expression)};un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},un.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var cn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent="camera"!==t&&!Ge(e.expression),this.interpolationType=n};function fn(t,e){if("error"===(t=ln(t,e)).result)return t;var r=t.value.expression,n=qe(r);if(!n&&!Yr(e))return Zr([new jt("","data expressions not supported")]);var i=Ze(r,["zoom"]);if(!i&&!Wr(e))return Zr([new jt("","zoom expressions not supported")]);var a=pn(r);if(!a&&!i)return Zr([new jt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.')]);if(a instanceof jt)return Zr([a]);if(a instanceof xr&&!Xr(e))return Zr([new jt("",'"interpolate" expressions cannot be used with this property')]);if(!a)return Gr(new un(n?"constant":"source",t.value));var o=a instanceof xr?a.interpolation:void 0;return Gr(new cn(n?"camera":"composite",t.value,a.labels,o))}cn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},cn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},cn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?xr.interpolationFactor(this.interpolationType,t,e,r):0};var hn=function(t,e){this._parameters=t,this._specification=e,Ft(this,Qr(this._parameters,this._specification))};function pn(t){var e=null;if(t instanceof wr)e=pn(t.result);else if(t instanceof _r)for(var r=0,n=t.args;rn.maximum?[new zt(e,r,r+" is greater than the maximum value "+n.maximum)]:[]}function yn(t){var e,r,n,i=t.valueSpec,a=Bt(t.value.type),o={},s="categorical"!==a&&void 0===t.value.property,l=!s,u="array"===Jr(t.value.stops)&&"array"===Jr(t.value.stops[0])&&"object"===Jr(t.value.stops[0][0]),c=dn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new zt(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Jr(r)&&0===r.length&&e.push(new zt(t.key,r,"array must have at least one 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e=1;e"===r||"<="===r||">="===r?Mn(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(An))):"all"===r?["all"].concat(t.slice(1).map(An)):"none"===r?["all"].concat(t.slice(1).map(An).map(Ln)):"in"===r?Sn(t[1],t.slice(2)):"!in"===r?Ln(Sn(t[1],t.slice(2))):"has"===r?En(t[1]):"!has"===r?Ln(En(t[1])):"within"!==r||t}function Mn(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(Tn)]]:["filter-in-small",t,["literal",e]]}}function En(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function Ln(t){return["!",t]}function Cn(t){return bn(Nt(t.value))?mn(Ft({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):Pn(t)}function Pn(t){var e=t.value,r=t.key;if("array"!==Jr(e))return[new zt(r,e,"array expected, "+Jr(e)+" found")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new zt(r,e,"filter array must have at least 1 element")];switch(a=a.concat(xn({key:r+"[0]",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Bt(e[0])){case"<":case"<=":case">":case">=":e.length>=2&&"$type"===Bt(e[1])&&a.push(new zt(r,e,'"$type" cannot be use with operator "'+e[0]+'"'));case"==":case"!=":3!==e.length&&a.push(new zt(r,e,'filter array for operator "'+e[0]+'" must have 3 elements'));case"in":case"!in":e.length>=2&&"string"!==(n=Jr(e[1]))&&a.push(new zt(r+"[1]",e[1],"string expected, "+n+" found"));for(var o=2;o=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(u.$name=l),u}throw new Error("can't serialize object of type "+typeof t)}function li(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if("object"==typeof t){var e=t.$name||"Object",r=ri[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i=0?s:li(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var ui=function(){this.first=!0};ui.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and Punctuation":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},"Hangul Compatibility Jamo":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},"Bopomofo Extended":function(t){return t>=12704&&t<=12735},"CJK Strokes":function(t){return t>=12736&&t<=12783},"Katakana Phonetic Extensions":function(t){return t>=12784&&t<=12799},"Enclosed CJK Letters and Months":function(t){return t>=12800&&t<=13055},"CJK Compatibility":function(t){return t>=13056&&t<=13311},"CJK Unified Ideographs Extension A":function(t){return t>=13312&&t<=19903},"Yijing Hexagram Symbols":function(t){return t>=19904&&t<=19967},"CJK Unified Ideographs":function(t){return 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this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni("StructArrayLayout2i4",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Ji);ta.prototype.bytesPerElement=8,ni("StructArrayLayout4i8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni("StructArrayLayout2i4i12",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni("StructArrayLayout2i4ub8",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni("StructArrayLayout8ui2ub18",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni("StructArrayLayout4i4ui4i24",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni("StructArrayLayout3f12",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni("StructArrayLayout1ul4",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni("StructArrayLayout6i1ul2ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni("StructArrayLayout2i2i2i12",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni("StructArrayLayout2f1f2i16",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni("StructArrayLayout2ub2f12",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Ji);fa.prototype.bytesPerElement=6,ni("StructArrayLayout3ui6",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni("StructArrayLayout8i15ui1ul4f68",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Ji);da.prototype.bytesPerElement=4,ni("StructArrayLayout1f4",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Ji);va.prototype.bytesPerElement=6,ni("StructArrayLayout3i6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Ji);ga.prototype.bytesPerElement=8,ni("StructArrayLayout1ul2ui8",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Ji);xa.prototype.bytesPerElement=8,ni("StructArrayLayout2f8",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs("fill-extrusion",this.layers,e);for(var n=0,i=t;nco}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var 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i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},ju.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Gu=7,Zu=Number.POSITIVE_INFINITY;function Yu(t,e){return e[1]!==Zu?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-Gu;break;case"bottom-right":case"bottom-left":case"bottom":i=-r+Gu}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-Gu;break;case"bottom-right":case"bottom-left":n=-i+Gu;break;case"bottom":n=-e+Gu;break;case"top":n=e-Gu}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function Wu(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}var Xu=255,Ju=Xu*bu;function Ku(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fJu&&w(t.layerIds[0]+': Value for "text-size" is >= '+Xu+'. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni("SymbolBucket",sc,{omit:["layers","collisionBoxArray","features","compareText"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({"symbol-placement":new ji(Dt.layout_symbol["symbol-placement"]),"symbol-spacing":new ji(Dt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new ji(Dt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ui(Dt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new ji(Dt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new ji(Dt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new ji(Dt.layout_symbol["icon-ignore-placement"]),"icon-optional":new ji(Dt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new ji(Dt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ui(Dt.layout_symbol["icon-size"]),"icon-text-fit":new ji(Dt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new ji(Dt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ui(Dt.layout_symbol["icon-image"]),"icon-rotate":new Ui(Dt.layout_symbol["icon-rotate"]),"icon-padding":new ji(Dt.layout_symbol["icon-padding"]),"icon-keep-upright":new ji(Dt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ui(Dt.layout_symbol["icon-offset"]),"icon-anchor":new Ui(Dt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new ji(Dt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new ji(Dt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new ji(Dt.layout_symbol["text-rotation-alignment"]),"text-field":new Ui(Dt.layout_symbol["text-field"]),"text-font":new Ui(Dt.layout_symbol["text-font"]),"text-size":new Ui(Dt.layout_symbol["text-size"]),"text-max-width":new Ui(Dt.layout_symbol["text-max-width"]),"text-line-height":new ji(Dt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ui(Dt.layout_symbol["text-letter-spacing"]),"text-justify":new Ui(Dt.layout_symbol["text-justify"]),"text-radial-offset":new Ui(Dt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new ji(Dt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ui(Dt.layout_symbol["text-anchor"]),"text-max-angle":new ji(Dt.layout_symbol["text-max-angle"]),"text-writing-mode":new ji(Dt.layout_symbol["text-writing-mode"]),"text-rotate":new Ui(Dt.layout_symbol["text-rotate"]),"text-padding":new ji(Dt.layout_symbol["text-padding"]),"text-keep-upright":new ji(Dt.layout_symbol["text-keep-upright"]),"text-transform":new Ui(Dt.layout_symbol["text-transform"]),"text-offset":new Ui(Dt.layout_symbol["text-offset"]),"text-allow-overlap":new ji(Dt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new ji(Dt.layout_symbol["text-ignore-placement"]),"text-optional":new ji(Dt.layout_symbol["text-optional"])}),uc={paint:new Gi({"icon-opacity":new Ui(Dt.paint_symbol["icon-opacity"]),"icon-color":new Ui(Dt.paint_symbol["icon-color"]),"icon-halo-color":new Ui(Dt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ui(Dt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ui(Dt.paint_symbol["icon-halo-blur"]),"icon-translate":new ji(Dt.paint_symbol["icon-translate"]),"icon-translate-anchor":new ji(Dt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ui(Dt.paint_symbol["text-opacity"]),"text-color":new Ui(Dt.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ui(Dt.paint_symbol["text-halo-color"]),"text-halo-width":new Ui(Dt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ui(Dt.paint_symbol["text-halo-blur"]),"text-translate":new ji(Dt.paint_symbol["text-translate"]),"text-translate-anchor":new ji(Dt.paint_symbol["text-translate-anchor"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni("FormatSectionOverride",cc,{omit:["defaultValue"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(""===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(""===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Lc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;vn)i=!1;else if(e)if(this.expirationTimect&&(t.getActor().send("enforceCacheSizeLimit",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return"custom"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=$e,t.offscreenCanvasSupported=mt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Sl(t).readFields(Wl,[])},t.pbf=Sl,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=co/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u["text-size"].possiblyEvaluate(new Pi(h),o),u["text-size"].possiblyEvaluate(new Pi(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u["icon-size"].possiblyEvaluate(new Pi(v),o),u["icon-size"].possiblyEvaluate(new Pi(g),o)]}c.layoutTextSize=u["text-size"].possiblyEvaluate(new Pi(t.zoom+1),o),c.layoutIconSize=u["icon-size"].possiblyEvaluate(new Pi(t.zoom+1),o),c.textMaxSize=u["text-size"].possiblyEvaluate(new Pi(18));for(var y=l.get("text-line-height")*kl,m="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),_=function(){var a=k[T],s=l.get("text-font").evaluate(a,{},o).join(","),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get("text-letter-spacing").evaluate(a,{},o)*kl,A=function(t){for(var e=0,r=t;e=co||f.y<0||f.y>=co||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=Fa(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(M=s.layout.get("text-offset").evaluate(b,{},k).map((function(t){return t*kl})))[0],U=M[1]):(j=s.layout.get("text-radial-offset").evaluate(b,{},k)*kl,U=Zu),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},k)+90,H=n.vertical;L=new Nu(l,e,u,c,f,H,h,p,d,V),o&&(C=new Nu(l,e,u,c,f,o,g,y,d,V))}if(i){var q=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),Z=Du(i,q,T,G),Y=o?Du(o,q,T,G):void 0;E=new Nu(l,e,u,c,f,i,g,y,!1,q),O=4*Z.length;var W=t.iconSizeData,X=null;"source"===W.kind?(X=[bu*s.layout.get("icon-size").evaluate(b,{})])[0]>Ju&&w(t.layerIds[0]+': Value for "icon-size" is >= '+Xu+'. Reduce your "icon-size".'):"composite"===W.kind&&((X=[bu*_.compositeIconSizes[0].evaluate(b,{},k),bu*_.compositeIconSizes[1].evaluate(b,{},k)])[0]>Ju||X[1]>Ju)&&w(t.layerIds[0]+': Value for "icon-size" is >= '+Xu+'. Reduce your "icon-size".'),t.addSymbols(t.icon,Z,X,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,X,x,m,b,nu.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=Fa(K.text);var $=s.layout.get("text-rotate").evaluate(b,{},k);S=new Nu(l,e,u,c,f,K,h,p,d,$)}var Q=1===K.positionedLines.length;if(D+=Ku(t,e,K,a,s,d,b,v,P,n.vertical?nu.horizontal:nu.horizontalOnly,Q?Object.keys(n.horizontal):[J],B,R,_,k),Q)break}n.vertical&&(z+=Ku(t,e,n.vertical,a,s,d,b,v,P,nu.vertical,["vertical"],B,F,_,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/kl),t.glyphOffsetArray.length>=sc.MAX_GLYPHS&&w("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,T,M,l,b,k,S,d,e,a,u,c,o)};if("line"===E)for(var O=0,I=Ou(e.geometry,0,0,co,co);O1){var U=Lu(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if("Polygon"===e.type)for(var V=0,H=Is(e.geometry,0);V=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=X(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function H(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function q(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:"Feature",id:t.id,properties:Z(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function Z(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function J(t){return t.x}function K(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 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s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#if GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#if OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#if HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+a+" = a_"+a+";\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = a_"+a+";\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},Nr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get("raster-hue-rotate"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Mi.prototype.getDefaultPosition=function(){return"bottom-right"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var Si=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return"bottom-left"},Si.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error("maxPitch must be less than or equal to 60");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Pi))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()Ii)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Zi--,Yi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:"metric"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll(["_onMove","setUnit"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString("ScaleControl.Miles")):$i(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?$i(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?$i(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):$i(e,n,s,t._getUIString("ScaleControl.Meters"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+" "+n}Ji.prototype.getDefaultPosition=function(){return"bottom-left"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl 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this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return 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this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close 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r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),"top-left":new t.Point(r,r),"top-right":new t.Point(-r,r),bottom:new t.Point(0,-e),"bottom-left":new t.Point(r,-r),"bottom-right":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,"top-left":n,"top-right":n,bottom:n,"bottom-left":n,"bottom-right":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),"top-left":t.Point.convert(e["top-left"]||[0,0]),"top-right":t.Point.convert(e["top-right"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),"bottom-left":t.Point.convert(e["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(e["bottom-right"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new 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0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return 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+

{{ title }}

+
+
+ {{ content | safe }} +
+ + """, + autoescape=True, + ) + + HAS_TABLE = False + HAS_PLOT = False + + def __init__(self, id, title, content=None) -> None: + """ + Initialize a Card object with an ID, title, and content. + + Args: + id (str): Unique identifier for the card. Must start with an alphabetic character. + title (str): Title to display in the card header. + content (str, Figure, optional): Content to display in the card body. + Can be HTML string or a Plotly Figure object. If None, an error will be raised. + + Raises: + ValueError: If content is neither a Plotly Figure nor an HTML string. + SystemExit: If no content is provided or if ID doesn't start with an alphabetic character. + """ + + if content is None or content == "": + log.critical( + f"No content provided for card {title}. This will generate a blank card and should be fixed." + ) + exit(-1) + + if not id[0].isalpha(): + log.critical( + f"Card IDs must start with a alphabetic character and not a number or symbol otherwise it will yield an invalid target for javascript selectors. Got {id}." + ) + exit(-1) + + self.id = id + self.title = title + self.content = content + + if isinstance(self.content, Figure): + content.update_layout(autosize=True, width=None, height=None) + self.html_content = content.to_html() + elif isinstance(self.content, str): + self.html_content = content + else: + raise ValueError( + "Generated content to card was neither a Ploty Figure or html string." + ) + + def _init_table_dict(self, tables: list) -> None: + """Initialize a dictionary of tables indexed by their class names. + + This method creates a dictionary that maps table class names to table objects, + making it easy to access specific tables by their type. The dictionary is stored + as the 'table' attribute of the card. + + Args: + tables (list): A list of table objects to be indexed. + + Side effects: + Sets the 'table' attribute of the card to a dictionary mapping table class names + to table objects. + """ + self.table = {} + for t in tables: + self.table[type(t).__name__] = t + + def _init_plot_dict(self, plots: list) -> None: + """Initialize a dictionary of plots indexed by their class names. + + This method creates a dictionary that maps plot class names to plot objects, + making it easy to access specific plots by their type. The dictionary is stored + as the 'plot' attribute of the card. + + Args: + plots (list): A list of plot objects to be indexed. + + Side effects: + Sets the 'plot' attribute of the card to a dictionary mapping plot class names + to plot objects. + """ + self.plot = {} + for p in plots: + self.plot[type(p).__name__] = p + + def to_html(self) -> str: + """ + Serialize the card into HTML using the built-in template. + + Renders the card's title and content into an HTML string using the + card template defined in the class. + + Returns: + str: HTML representation of the card. + """ + card = self.t_card_template.render( + {"title": self.title, "content": self.html_content, "id": self.id} + ) + + return card + + def make_hlink(self, card, text): + """ + Create a hyperlink that activates another card when clicked. + + Args: + card (str): ID of the target card to activate. + text (str): Display text for the hyperlink. + + Returns: + str: HTML anchor tag that will activate the specified card when clicked. + """ + return f'{text}' + + @abc.abstractmethod + def generate_content(self): + """Generate HTML content for the card body. + + This abstract method must be implemented by all Card subclasses to provide + the specific content to be displayed in the card body. The implementation + should generate and return HTML that will be rendered within the card's + content area. + + The content can include any valid HTML, such as text, tables, plots, + or interactive elements, formatted according to the specific needs of + the card type. + + Returns: + str: HTML content to render in the body of this card. + + Raises: + NotImplementedError: If a subclass does not implement this method. + """ + raise NotImplementedError("Card content generation not defined.") diff --git a/core/gui/cards/__init__.py b/core/gui/cards/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/gui/cards/bill_of_materials_card.py b/core/gui/cards/bill_of_materials_card.py new file mode 100644 index 0000000..835b407 --- /dev/null +++ b/core/gui/cards/bill_of_materials_card.py @@ -0,0 +1,69 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.bom_table import BOMTable +from act.core.gui.plots.device_table import DeviceTable + + +class BillOfMaterialsCard(Card): + """ + A card that displays Bill of Materials information and detailed device data. + + This card presents two tables: + 1. Bill of Materials - Shows summary information about the system's bill of materials + 2. Detailed Device List - Displays comprehensive information about each device in the system + + The card provides a complete view of the system components being analyzed, + including their specifications, manufacturing details, and physical characteristics, + which form the basis for the carbon emissions calculations. + """ + + def __init__(self, act): + """ + Initialize the Bill of Materials Card. + + Args: + act: The ACT analysis object containing the bill of materials and device information + used to populate the BOM summary and detailed device tables. + """ + self.act = act + super().__init__( + id="bill-of-materials-card", + title="Bill of Materials", + content=self.generate_content(), + ) + + def generate_content(self): + """ + Generate the HTML content for the Bill of Materials Card. + + Creates two tables: one for the bill of materials summary and one for the + detailed device list. Formats them with appropriate headers and styling. + + Returns: + str: HTML content for the card body containing both the BOM summary table + and the detailed device table, with appropriate section headers and + formatting. + """ + self.device_table = DeviceTable(act=self.act) + self.bom_table = BOMTable(act=self.act) + + content = f""" +
+

Bill of Materials View

+
+ +

Top Level Summary View

+ {self.bom_table.get_html()} + +
+

Detailed Device List View

+ {self.device_table.get_html()} +
+ """ + + return content diff --git a/core/gui/cards/carbon_card.py b/core/gui/cards/carbon_card.py new file mode 100644 index 0000000..2a79de0 --- /dev/null +++ b/core/gui/cards/carbon_card.py @@ -0,0 +1,103 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.carbon_by_device_table import CarbonByDeviceTable +from act.core.gui.plots.category_carbon_plot import CategoryCarbonPlot +from act.core.gui.plots.op_carbon_table import OpCarbonTable +from act.core.gui.plots.source_plot import SourcePlot +from act.core.gui.plots.subsystem_carbon_plot import SubsystemCarbonPlot + + +class CarbonCard(Card): + """ + A card that provides an overview of the carbon emissions analysis results. + + This card presents four visualizations: + 1. Total Emissions by Source - Shows emissions broken down by source categories + 2. Operational Emissions by Device Category - Displays operational emissions by device type + 3. Emissions by Subsystem - Presents emissions organized by subsystem components + 4. Detailed Carbon by Device - A table showing detailed carbon data for each device + + These visualizations give users a comprehensive overview of the carbon footprint + from different perspectives. + """ + + HAS_PLOT = True + HAS_TABLE = True + + def __init__(self, act): + """ + Initialize the Carbon Card. + + Args: + act: The ACT analysis object containing results data used to generate + the overview plots and tables showing carbon emissions from + different perspectives. + """ + self.act = act + self.carbon_results = act.results.carbon_by_device + super().__init__( + id="carbon-card-id", title="Carbon", content=self.generate_content() + ) + + def generate_content(self): + """ + Generate the HTML content for the Carbon Card. + + Creates four visualizations: + - Source Plot: Shows emissions by source category + - Device Plot: Shows operational emissions by device category + - Subsystem Plot: Shows emissions by subsystem + - Carbon by Device Table: Detailed breakdown of carbon by device + + Returns: + str: HTML content for the card body containing all visualizations + arranged in a responsive layout. + """ + self.source_plot = SourcePlot(self.act) + self.category_carbon_plot = CategoryCarbonPlot(self.act) + self.subsystem_carbon_plot = SubsystemCarbonPlot(act=self.act) + self.carbon_by_device_table = CarbonByDeviceTable(act=self.act) + self.op_carbon_table = OpCarbonTable(act=self.act) + + content = f""" +

Carbon Emissions Breakdown View

+
+
+
+ {self.source_plot.get_html()} +
+
+
+
+ {self.category_carbon_plot.get_html()} +
+
+
+
+ {self.subsystem_carbon_plot.get_html()} +
+
+
+ +
+ +
+

Detailed Carbon by Source View

+ {self.carbon_by_device_table.get_html()} +
+ +
+ +
+

Detailed Operational Carbon View

+ {self.op_carbon_table.get_html()} +
+ + """ + + return content diff --git a/core/gui/cards/cost_card.py b/core/gui/cards/cost_card.py new file mode 100644 index 0000000..311df0d --- /dev/null +++ b/core/gui/cards/cost_card.py @@ -0,0 +1,88 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.category_cost_plot import CategoryCostPlot +from act.core.gui.plots.cost_table import CostTable +from act.core.gui.plots.cost_type_plot import CostTypePlot +from act.core.gui.plots.subsystem_cost_plot import SubsystemCostPlot + + +class CostCard(Card): + """A card that displays cost analysis results. + + This card presents cost breakdowns including: + 1. Cost by device category + 2. Cost by subsystem + 3. Cost by type (capex, opex, offset) + 4. Detailed cost table by device + """ + + def __init__(self, act, *args, **kwargs): + """Initialize the Cost Card. + + Args: + act (ACTModel): The ACT analysis object containing cost analysis results. + *args: Additional positional arguments passed to parent Card class. + **kwargs: Additional keyword arguments passed to parent Card class. + """ + self.act = act + super().__init__( + id="cost-card-id", + title="Cost", + *args, + **kwargs, + content=self.generate_content(), + ) + + def generate_content(self): + """Generate the HTML content for the Cost Card. + + Creates cost visualizations including category, subsystem, and type breakdowns, + along with a detailed cost table. + + Returns: + str: HTML content for the card body containing all cost visualizations. + """ + # self.device_cost_plot = DeviceCostPlot(act=self.act) + self.category_cost_plot = CategoryCostPlot(act=self.act) + self.subsystem_cost_plot = SubsystemCostPlot(act=self.act) + self.cost_type_plot = CostTypePlot(act=self.act) + self.cost_table = CostTable(act=self.act) + + cost_per_kwhr = self.act.cost_analyzer.cost_per_kwhr + offset_cost = self.act.cost_analyzer.offset_cost + + content = f""" +
+

Cost ($) Breakdown View

+
+
+ {self.category_cost_plot.get_html()} +
+
+
+
+ {self.subsystem_cost_plot.get_html()} +
+
+
+
+ {self.cost_type_plot.get_html()} +
+
+
+

Note: Assumes electrical cost at {cost_per_kwhr} and carbon emissions offset cost of {offset_cost}.

+ +
+ +

Detailed Cost by Device View

+
{self.cost_table.get_html()}
+

Note: Devices without cost specification will not report capex costs. Device which do not consume power will not have opex and opex offset costs.

+ + """ + + return content diff --git a/core/gui/cards/delta_cost_card.py b/core/gui/cards/delta_cost_card.py new file mode 100644 index 0000000..93bc2cf --- /dev/null +++ b/core/gui/cards/delta_cost_card.py @@ -0,0 +1,104 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.category_cost_plot import CategoryCostPlot +from act.core.gui.plots.delta_cost_barchart import DeltaCostBarchart +from act.core.gui.plots.delta_cost_table import DeltaCostTable +from act.core.gui.style import DeltaCardLayout, get_column_class + + +class DeltaCostCard(Card): + """ + A card that displays cost delta comparison overview. + """ + + def __init__(self, base_sim, delta_sims): + """ + Initialize the Delta Cost Card. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + self.sunburst_plots = None + self.barchart_plot = None + self.table_plot = None + super().__init__( + id="delta-cost-card-id", + title="Cost", + content=self.generate_content(), + ) + + def generate_content(self): + """ + Generate the HTML content for the Delta Cost Card. + + Creates visualizations showing cost by source type for all simulations: + 1. Row of sunburst charts - One CategoryCostPlot for each simulation (baseline + experiments) + 2. Bar chart - Full-width cost delta comparison + 3. Table - Detailed numerical breakdown of cost differences + + Returns: + str: HTML content for the card body containing all visualizations. + """ + # Create CategoryCostPlot sunburst charts for all simulations + all_sims = [self.base_sim] + self.delta_sims + sunburst_plots = [] + + for _i, sim in enumerate(all_sims): + if sim is not None: + cost_plot = CategoryCostPlot(act=sim) + sunburst_plots.append(cost_plot) + + # Create other plots + self.barchart_plot = DeltaCostBarchart(self.base_sim, self.delta_sims) + self.table_plot = DeltaCostTable(self.base_sim, self.delta_sims) + + # Calculate column width based on number of simulations using centralized styling + num_sims = len(sunburst_plots) + col_class = get_column_class(num_sims) + + # Generate sunburst charts row + sunburst_html = "" + for i, plot in enumerate(sunburst_plots): + sim_name = "Baseline" if i == 0 else f"Experiment {i}" + sunburst_html += f""" +
+
{sim_name}
+
+ {plot.get_html()} +
+
+ """ + + content = f""" +
+

Cost by Device Category

+ {sunburst_html} +
+ + {DeltaCardLayout.HORIZONTAL_DIVIDER} + +
+
+

Cost Difference

+
+ {self.barchart_plot.get_html()} +
+
+
+ + {DeltaCardLayout.HORIZONTAL_DIVIDER} + +
+

Cost Delta Details

+ {self.table_plot.get_html()} +
+ """ + return content diff --git a/core/gui/cards/delta_overview_card.py b/core/gui/cards/delta_overview_card.py new file mode 100644 index 0000000..4db3fd4 --- /dev/null +++ b/core/gui/cards/delta_overview_card.py @@ -0,0 +1,104 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.delta_carbon_barchart import DeltaCarbonBarchart +from act.core.gui.plots.delta_carbon_table import DeltaCarbonTable +from act.core.gui.plots.source_plot import SourcePlot +from act.core.gui.style import DeltaCardLayout, get_column_class + + +class DeltaOverviewCard(Card): + """ + A card that displays carbon emissions delta comparison overview. + """ + + def __init__(self, base_sim, delta_sims): + """ + Initialize the Delta Overview Card. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + self.sunburst_plot = None + self.barchart_plot = None + self.table_plot = None + super().__init__( + id="delta-overview-card-id", + title="Emissions", + content=self.generate_content(), + ) + + def generate_content(self): + """ + Generate the HTML content for the Delta Overview Card. + + Creates visualizations showing carbon emissions by source type for all simulations: + 1. Row of sunburst charts - One SourcePlot for each simulation (baseline + experiments) + 2. Bar chart - Full-width carbon emissions delta comparison + 3. Table - Detailed numerical breakdown of carbon emissions differences + + Returns: + str: HTML content for the card body containing all visualizations. + """ + # Create SourcePlot sunburst charts for all simulations + all_sims = [self.base_sim] + self.delta_sims + sunburst_plots = [] + + for _i, sim in enumerate(all_sims): + if sim is not None: + source_plot = SourcePlot(act=sim) + sunburst_plots.append(source_plot) + + # Create other plots + self.barchart_plot = DeltaCarbonBarchart(self.base_sim, self.delta_sims) + self.table_plot = DeltaCarbonTable(self.base_sim, self.delta_sims) + + # Calculate column width based on number of simulations using centralized styling + num_sims = len(sunburst_plots) + col_class = get_column_class(num_sims) + + # Generate sunburst charts row + sunburst_html = "" + for i, plot in enumerate(sunburst_plots): + sim_name = "Baseline" if i == 0 else f"Experiment {i}" + sunburst_html += f""" +
+
{sim_name}
+
+ {plot.get_html()} +
+
+ """ + + content = f""" +
+

Carbon Emissions by Device Category

+ {sunburst_html} +
+ + {DeltaCardLayout.HORIZONTAL_DIVIDER} + +
+
+

Carbon Emissions Difference

+
+ {self.barchart_plot.get_html()} +
+
+
+ + {DeltaCardLayout.HORIZONTAL_DIVIDER} + +
+

Carbon Emissions Delta Details

+ {self.table_plot.get_html()} +
+ """ + return content diff --git a/core/gui/cards/dse_card.py b/core/gui/cards/dse_card.py new file mode 100644 index 0000000..e62473e --- /dev/null +++ b/core/gui/cards/dse_card.py @@ -0,0 +1,85 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.scaling_plots import ( + CIIncPlot, + CILatestPlot, + TSIncPlot, + TSLatestPlot, +) + + +class DSECard(Card): + """A card that displays Design Space Exploration (DSE) results. + + This card presents carbon emissions projections over time using both + carbon intensity scaling and technology node scaling approaches. + """ + + def __init__(self, dse_manager): + """Initialize the DSE Card. + + Args: + dse_manager (DSEManager): The DSE manager containing projection results. + """ + self.dse_manager = dse_manager + super().__init__(id="dse-card-id", title="DSE", content=self.generate_content()) + + def generate_content(self): + """Generate the HTML content for the DSE Card. + + Creates four projection plots: + - CI incremental: Carbon intensity projection by year increments + - CI latest: Carbon intensity projection by absolute year + - TS incremental: Technology scaling projection by year increments + - TS latest: Technology scaling projection by absolute year + + Returns: + str: HTML content for the card body containing all DSE visualizations. + """ + self.ci_inc_plot = CIIncPlot(dse_manager=self.dse_manager) + self.ci_latest_plot = CILatestPlot(dse_manager=self.dse_manager) + self.ts_inc_plot = TSIncPlot(dse_manager=self.dse_manager) + self.ts_latest_plot = TSLatestPlot(dse_manager=self.dse_manager) + + content = f""" +

Iso-Technology Node Carbon Emissions Projection Over Time

+ +
+
+

Projection by Year Increments

+ {self.ci_inc_plot.get_html()} + +

Increments the CI year relative to the original manufacture date for each device. If device A is built in 2023 and device B is built in 2021, a delta of +2 projects projects the carbon if A was built in 2023+2=2025 and B was build in 2021+2=2023.

+
+
+

Projection by Absolute Year

+ {self.ci_latest_plot.get_html()} + +

Adjusts the CI year to the same year for all devices. If device A is built in 2023 and device B is built in 2021, the projection for year 2025 will adjust the CI for the manufacturing year as if A and B are both built in 2025.

+
+ +
+ +

Iso-Carbon Intensity Technology Scaling Projection Over Time

+
+
+

Projection by Year Increments

+ {self.ts_inc_plot.get_html()} + +

Increments the technology node relative to the original manufacturing year for each device. If device A is built in 2021, the projection for +2 years will choose the closest existing technology node for 2021+2=2023. Only applies the technology scaling to logic nodes.

+
+
+

Projection by Absolute Year

+ {self.ts_latest_plot.get_html()} + +

Set the technology node for all devices to the most bleeding edge available node. Only applies the technology scaling to logic nodes.

+
+
+ """ + + return content diff --git a/core/gui/cards/scalability_card.py b/core/gui/cards/scalability_card.py new file mode 100644 index 0000000..50c5929 --- /dev/null +++ b/core/gui/cards/scalability_card.py @@ -0,0 +1,46 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.scaling_table import ScalingTable + + +class ScalabilityCard(Card): + """A card that displays scalability analysis results. + + This card presents a table showing how carbon emissions scale with + different device configurations and parameters. + """ + + def __init__(self, act): + """Initialize the Scalability Card. + + Args: + act (ACTModel): The ACT analysis object containing scalability data. + """ + self.act = act + super().__init__( + id="Scalability", title="Scalability", content=self.generate_content() + ) + + def generate_content(self): + """Generate the HTML content for the Scalability Card. + + Creates a scaling table showing carbon emissions scalability analysis. + + Returns: + str: HTML content for the card body containing the scaling table. + """ + self.scaling_table = ScalingTable( + act=self.act, + ) + + content = f""" +

Scalability Analysis View

+
{self.scaling_table.get_html()}
+ + """ + return content diff --git a/core/gui/cards/sim_info_card.py b/core/gui/cards/sim_info_card.py new file mode 100644 index 0000000..ccbd3de --- /dev/null +++ b/core/gui/cards/sim_info_card.py @@ -0,0 +1,61 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.model_configs_table import ModelConfigsTable +from act.core.gui.plots.sim_info_table import SimInfoTable + + +class SimInfoCard(Card): + """ + A card that displays analysis information and model configuration details. + + This card presents two tables: + 1. Sim Information - Shows general information about the ACT analysis + 2. Model Configuration Paths - Displays the paths to model configuration files used in the analysis + """ + + def __init__(self, act): + """ + Initialize the Sim Info Card. + + Args: + act: The ACT analysis object containing results data and configuration information + used to populate the analysis information and model configuration tables. + """ + self.act = act + self.info_table = None + self.model_configs_table = None + super().__init__( + id="sim-info-card-id", + title="Simulation Info", + content=self.generate_content(), + ) + + def generate_content(self): + """ + Generate the HTML content for the Sim Info Card. + + Creates two tables: one for analysis information and one for model configuration paths. + Formats them with appropriate headers and styling. + + Returns: + str: HTML content for the card body containing both tables.""" + self.sim_info_table = SimInfoTable(self.act) + self.model_configs_table = ModelConfigsTable(self.act) + + content = f""" +
+

Simulation Information

+ {self.sim_info_table.get_html()} + +
+ +

Model Configuration Paths

+ {self.model_configs_table.get_html()} +
+ """ + return content diff --git a/core/gui/cards/supply_chain_card.py b/core/gui/cards/supply_chain_card.py new file mode 100644 index 0000000..b01b0d6 --- /dev/null +++ b/core/gui/cards/supply_chain_card.py @@ -0,0 +1,62 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from act.core.gui.plots.supply_chain_table import SupplyChainTable + + +class SupplyChainCard(Card): + """ + A card that displays supply chain information for the analyzed system. + + This card presents a table showing supply chain details including manufacturing + locations, transportation methods, and associated carbon emissions. It provides + insights into the environmental impact of the system's supply chain and logistics, + which is an important component of the overall carbon footprint. + + The supply chain information helps identify opportunities for reducing emissions + through optimized manufacturing locations and transportation choices. + """ + + def __init__(self, act): + """ + Initialize the Supply Chain Card. + + Args: + act: The ACT analysis object containing supply chain information + used to populate the supply chain table with data about + manufacturing locations, transportation, and related + carbon emissions. + """ + self.act = act + self.supply_chain_table = None + super().__init__( + id="supply-chain-card-id", + title="Supply Chain", + content=self.generate_content(), + ) + + def generate_content(self): + """ + Generate the HTML content for the Supply Chain Card. + + Creates a table displaying supply chain information with appropriate + header and styling. + + Returns: + str: HTML content for the card body containing the supply chain + table with manufacturing, transportation, and carbon footprint + information related to the system's supply chain. + """ + self.supply_chain_table = SupplyChainTable(self.act) + + content = f""" +
+

Supply Chain Information

+ {self.supply_chain_table.get_html()} +
+ """ + return content diff --git a/core/gui/delta_dashboard.py b/core/gui/delta_dashboard.py new file mode 100644 index 0000000..ee62a28 --- /dev/null +++ b/core/gui/delta_dashboard.py @@ -0,0 +1,270 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import importlib.resources +import os +import shutil +import tempfile + +import htmlark +from act.core.gui.cards.delta_cost_card import DeltaCostCard +from act.core.gui.cards.delta_overview_card import DeltaOverviewCard +from act.core.gui.cards.sim_info_card import SimInfoCard +from act.core.gui.tabs import Tabs +from act.core.utils.logger import log +from jinja2 import Template +from requests import RequestException + + +class DeltaDashboard: + """ + A dashboard for displaying ACT delta comparison results. + """ + + def __init__( + self, + base_sim, + delta_sims, + html_file: str = "act_delta.html", + out_dir: str = None, + export_plot=False, + init_tab=None, + test=False, + dashboard_title="ACT Delta Results", + ): + """ + Initialize the ACT Delta Dashboard. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + html_file (str): Filename for the output HTML file + out_dir (str, optional): Directory to output the HTML files. If None, a temporary directory is created + export_plot (bool): Whether to export plots as separate files + init_tab: The initial tab to display when the dashboard is loaded + test (bool): Whether the dashboard is being generated for testing purposes + dashboard_title (str): Title to display on the dashboard + + The constructor sets up the dashboard structure and copies required template files + to the output directory. + """ + self.html_file = html_file + self.export_plot = export_plot + self.cards = [] + self.init_tab = init_tab + self.test = test + self.dashboard_title = dashboard_title + self.uri = None + self.base_sim = base_sim + self.delta_sims = delta_sims + + if out_dir is not None: + self.out_dir = out_dir + else: + temp_out = tempfile.TemporaryDirectory(prefix="act_delta_ui_").name + self.out_dir = temp_out + self.packed_html_file = None + + # copy out the html template to the output directory + self.copy_templates(self.out_dir) + + def generate_dashboard(self, extra_cards=None): + """ + Generate the complete delta dashboard with all standard cards. + + Creates and adds the standard set of delta comparison cards: + - Delta overview card (power-based comparisons) + - Delta cost card (cost-based comparisons) + - Simulation info card (configuration details) + + Then renders the dashboard to HTML. + """ + # Add delta overview card (power-based) + delta_overview_card = DeltaOverviewCard( + base_sim=self.base_sim, delta_sims=self.delta_sims + ) + self.add_card(delta_overview_card) + + # Add delta cost card + delta_cost_card = DeltaCostCard( + base_sim=self.base_sim, delta_sims=self.delta_sims + ) + self.add_card(delta_cost_card) + + # Add any extra cards if provided + if extra_cards is not None: + for card in extra_cards: + self.add_card(card) + + # Add simulation info card (reuse existing card with baseline simulation) + sim_info_card = SimInfoCard(act=self.base_sim) + self.add_card(sim_info_card) + + self.render() + + def copy_templates(self, html_path="html"): + """ + Copy HTML template files to the specified output directory. + + This method copies all HTML template files from the package's assets.html + directory to the specified output directory. These templates are necessary + for rendering the dashboard with proper styling and layout. + + Args: + html_path (str, optional): Path where HTML template files should be copied. + Defaults to "html" in the current directory. + + The function ensures the destination directory exists, creating it if necessary, + and preserves the original filenames during copying. + """ + template_files = importlib.resources.files(__package__ + ".assets.html") + html_path = os.path.abspath(html_path) + "/" + if not os.path.exists(html_path): + os.makedirs(html_path, exist_ok=True) + + for template_file in template_files.iterdir(): + fname = os.path.basename(template_file) + shutil.copyfile(template_file, os.path.join(html_path, fname)) + + def render(self): + """ + Converts the dashboard assets to HTML. + + Generates the HTML for all cards, creates the tabbed interface, + and produces both a standard HTML file and a self-contained packed + HTML file with all assets embedded (unless in test mode). + The packed HTML file contains all resources embedded within it for easy sharing. + + Raises: + AssertionError: If no cards have been added to the dashboard + """ + + assert len(self.cards) > 0, ( + "No dashboard cards were added. Dashboard must have at least 1 card added to render properly." + ) + + # create the tab html content + content = Tabs( + id="tabs", + title=self.dashboard_title, + content=self.cards, + ) + + # convert the contents to html with initial tab specification + plot_data = [content.to_html(initial_tab=self.init_tab)] + + index_file = os.path.join(self.out_dir, "index.html") + + self.generate_html("".join(plot_data), index_file=index_file) + + # Render the packed static html result + packed_html = "" + if not self.test: + try: + packed_html = htmlark.convert_page( + index_file, + ignore_errors=True, + ) + except (ValueError, OSError, NameError, RequestException) as e: + log.error(e) + log.error("Could not create a single file HTML dashboard.") + + # Write out the packed HTML + self.packed_html_file = os.path.join(self.out_dir, self.html_file) + with open(self.packed_html_file, "w") as fd: + fd.write(packed_html) + + def get_html_import_path(self): + """ + Return the package path for importing HTML assets. + + Returns: + str: The fully qualified package path where HTML template assets are stored. + This path is used by importlib.resources to locate and load HTML templates + needed for dashboard rendering. + """ + return __package__ + ".assets.html" + + def generate_html(self, payload, index_file="index.html"): + """ + Generate HTML content for the dashboard using templates. + + This method loads the HTML template from the package resources, applies the + provided payload content using Jinja2 templating, and writes the resulting + HTML to the specified output file. + + Args: + payload (str): The HTML content to insert into the template, typically + containing the tabbed interface with all dashboard cards. + index_file (str, optional): Path where the generated HTML file should be saved. + Defaults to "index.html" in the current directory. + """ + # load the html template + import_path = self.get_html_import_path() + with importlib.resources.path(import_path, "index.html") as resource_path: + with open(resource_path) as handle: + html_template = handle.read() + + # jinja the template with the results + jinja_template = Template(html_template, autoescape=True) + dashboard_html = jinja_template.render( + {"tab_payload": payload, "page_title": "ACT Delta Results"} + ) + + with open(index_file, "w") as handle: + handle.write(dashboard_html) + + def add_card(self, card): + """ + Add a single card to the dashboard. + + Args: + card: The card object to add to the dashboard + """ + self.cards.append(card) + + def add_cards(self, cards): + """ + Add multiple cards to the dashboard at once. + + Args: + cards: A list of card objects to add to the dashboard + """ + self.cards.extend(cards) + + def get_card(self, cid=None, title=None): + """ + Find and return a dashboard card matching the specified criteria. + + Args: + cid (str, optional): The ID of the card to find. If None, this criterion is ignored. + title (str, optional): The title of the card to find. If None, this criterion is ignored. + + Returns: + Card: The first card that matches all specified criteria, or None if no match is found. + If both cid and title are None, the first card will be returned. + """ + for card in self.cards: + if (card.id == cid or cid is None) and ( + card.title == title or title is None + ): + return card + return None + + def get_card_by_type(self, ctype): + """ + Find and return the first dashboard card matching the specified type. + + Args: + ctype: The class type to match against cards in the dashboard + + Returns: + The first card that matches the specified type, or None if no match is found + """ + for c in self.cards: + if ctype is type(c): + return c + return None diff --git a/core/gui/plots/__init__.py b/core/gui/plots/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/gui/plots/base_act_plot.py b/core/gui/plots/base_act_plot.py new file mode 100644 index 0000000..b876b12 --- /dev/null +++ b/core/gui/plots/base_act_plot.py @@ -0,0 +1,265 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import math +from abc import abstractmethod + +import plotly.graph_objects as go +from act.core.common import ModelType +from act.core.gui.plots.base_plot import BasePlot +from act.core.gui.style import DefaultPlotSettings +from act.core.utils.units import dollar, kg, mm2 + + +class BaseACTPlot(BasePlot): + """ + Base class for ACT (Architecture Carbon Tool) plots. + + This class extends BasePlot to provide common functionality for all ACT-specific + visualizations, including handling of carbon results, weights, areas, and + formatting utilities. It serves as a foundation for specialized plot types + like device plots, source plots, and subsystem plots. + + Subclasses must implement the make_sunburst_data method to generate + data for sunburst visualizations. + """ + + def __init__( + self, + act, + decimal_places=2, + weight_unit=kg, + cost_unit=dollar, + *args, + **kwargs, + ): + self.act = act + self.carbon_results = act.results.carbon_by_device + self.bom = act.bom + self.decimal_places = decimal_places + self.weight_unit = weight_unit + self.fweight_unit = format(self.weight_unit.units, "~") + self.cost_unit = cost_unit + self.fcost_unit = format(self.cost_unit.units, "~") + self.area_unit = mm2 + self.farea_unit = "mm2" # hardcode since pint doesn't properly compact mm ** 2 + + super().__init__(*args, **kwargs) + + def weight_as_str(self, weight): + """ + Format a weight value as a string with units. + + Args: + weight: Weight value with units to format + + Returns: + str: Formatted string with weight value and units""" + assert weight.check(self.weight_unit) + weight_val = weight.to(self.weight_unit).m + fweight_val = f"{weight_val:.{self.decimal_places}f}" + f" {self.fweight_unit}" + return fweight_val + + def weight_as_percent(self, weight, total_weight=None): + """ + Calculate and format a weight value as a percentage of the total. + + Args: + weight: Weight value with units + total_weight: Optional total weight to use as denominator. + If None, uses the total carbon weight from results. + + Returns: + str: Formatted string with percentage value + """ + weight_val = weight.to(self.weight_unit).m + _total_weight = ( + total_weight if total_weight is not None else self.get_total_carbon_weight() + ) + total = _total_weight.to(self.weight_unit).m + + # guard against floating point error up to 10 places + if math.isclose(weight_val, total, abs_tol=10**-10): + weight_val = total + + assert weight_val <= total + percent = weight_val / total * 100 if total != 0 else 100 + fpercent = f"{percent:.{self.decimal_places}f}%" + return fpercent + + def get_total_carbon_weight(self): + """ + Return the total carbon emissions in units of weight. + + Calculates the sum of carbon emissions across all devices in the system. + + Returns: + Quantity: Total carbon weight with appropriate units (typically kg CO2e) + """ + return sum([r.total() for _, r in self.carbon_results.items()]) + + def get_total_area(self): + """ + Return total system silicon area with area units. + + Calculates the sum of silicon areas for all logic devices in the bill of materials. + Only devices with model type LOGIC are included in this calculation. + + Returns: + Quantity: Total silicon area with appropriate units (typically mm²) + """ + total = 0 * mm2 + for _, dev_data in self.bom.devices.items(): + if dev_data.model is ModelType.LOGIC: + total += dev_data.area + return total + + def cost_as_str(self, cost): + """Format a cost value as a string with units. + + Args: + cost: Cost value with units to format. + + Returns: + str: Formatted string with cost value and units. + + Raises: + AssertionError: If the cost value doesn't have compatible units. + """ + assert cost.check(dollar) + cost_val = cost.to(self.cost_unit).m + as_str = f"{cost_val:.{self.decimal_places}f}" + self.fcost_unit + return as_str + + def cost_as_percent(self, cost, total_cost=None): + """Calculate and format a cost value as a percentage of the total. + + Args: + cost: Cost value with units. + total_cost: Optional total cost to use as denominator. + If None, uses the total cost from get_total_cost(). + + Returns: + str: Formatted string with percentage value. + """ + cost_val = cost.to(self.cost_unit).m + _total_cost = total_cost if total_cost is not None else self.get_total_cost() + total = _total_cost.to(self.cost_unit).m + + # guard against floating point error up to 10 places + if math.isclose(cost_val, total, abs_tol=10**-10): + cost_val = total + + assert cost_val <= total + percent = cost_val / total * 100 if total != 0 else 100 + fpercent = f"{percent:.{self.decimal_places}f}%" + return fpercent + + def get_total_cost(self): + """Return the total cost from the cost analyzer. + + Returns: + Quantity: Total cost with appropriate units. + """ + return self.act.cost_analyzer.get_total_cost() + + def area_as_str(self, area): + """ + Format an area value as a string with units. + + Args: + area: Area value with units to format + + Returns: + str: Formatted string with area value and units + + Raises: + AssertionError: If the area value doesn't have compatible units + """ + assert area.check(self.area_unit) + area_val = area.to(self.area_unit).m + farea_val = f"{area_val:.{self.decimal_places}f}" + f" {self.farea_unit}" + return farea_val + + def area_as_percent(self, area, total_area=None): + """ + Calculate and format an area value as a percentage of the total. + + Args: + area: Area value with units + total_area: Optional total area to use as denominator. + If None, uses the total area from get_total_area(). + + Returns: + str: Formatted string with percentage value + """ + area_val = area.to(self.area_unit).m + _total_area = total_area if total_area is not None else self.get_total_area() + total = _total_area.to(self.area_unit).m + assert area_val <= total + percent = area_val / total * 100 if total != 0 else 100 + fpercent = f"{percent:.{self.decimal_places}f}%" + return fpercent + + @abstractmethod + def make_sunburst_data(self): + """ + Generate data for a sunburst visualization. + + This abstract method must be implemented by subclasses to provide + the specific data structure needed for their sunburst visualizations. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + - list: Optional list of colors for the sunburst segments + + Raises: + NotImplementedError: If the subclass does not implement this method + """ + raise NotImplementedError( + f"Sunburst data generation not implemented for {self.__class__}." + ) + + def plot(self, title, plot_settings=DefaultPlotSettings): + """ + Create a sunburst plot with the provided title and settings. + + This method generates a sunburst visualization using the data from make_sunburst_data(). + It applies the specified plot settings and saves the plot if export_plot is True. + + Args: + title (str): Title to display on the plot + plot_settings (DefaultPlotSettings, optional): Plot configuration settings + including title position, height, font, and margins + """ + data, colors = self.make_sunburst_data() + + sunburst_kwargs = { + "labels": data["children"], + "parents": data["parents"], + "values": data["values"], + "leaf": {"opacity": 0.5}, + } + + if colors is not None: + sunburst_kwargs.update(marker={"colors": colors}) + + self.fig.add_trace(go.Sunburst(**sunburst_kwargs)) + + self.fig.update_layout( + showlegend=True, + autosize=True, + title_text=title, + title_x=plot_settings.TITLE_X.value, + title_y=plot_settings.TITLE_Y.value, + height=plot_settings.PLOT_HEIGHT.value, + font=plot_settings.FONT.value, + margin=plot_settings.MARGIN_WITH_SUBTITLE.value, + ) + + if self.export_plot: + self.save_plot() diff --git a/core/gui/plots/base_plot.py b/core/gui/plots/base_plot.py new file mode 100644 index 0000000..439a5fa --- /dev/null +++ b/core/gui/plots/base_plot.py @@ -0,0 +1,153 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import random +import tempfile + +import plotly.graph_objs as go +from act.core.utils.logger import log +from plotly.io import write_image +from plotly.offline import plot + + +class BasePlot: + """ + Base class for all plot objects in the ACT visualization system. + + This class provides common functionality for creating, displaying, and exporting + plots using Plotly. It handles the initialization of plot figures, saving plots + in various formats, generating HTML representations, and managing plot data. + All specialized plot classes in the ACT system should inherit from this base class + to ensure consistent behavior and appearance. + """ + + def __init__(self, out_dir: str = None, export_plot: bool = False) -> None: + """Initialize a base plot object with output directory and export settings. + + + Args: + out_dir (str, optional): The output directory for saving plot files. + If None, a temporary directory will be created. + export_plot (bool, default=False): Whether to automatically export/save the plot. + Setting this to True on remote machines without proper graphics + forwarding may cause the application to hang. When True, plots will be + saved to disk in the specified output directory. + forwarding may cause the application to hang. + """ + self.export_plot = export_plot + if out_dir is not None: + self.out_dir = out_dir + else: + temp_out = tempfile.TemporaryDirectory(prefix="act_ui_") + self.out_dir = temp_out + + self.fig = go.Figure() + random.seed(0) + + def save_plot(self, export_file=None): + """ + Save the current plot to disk in multiple formats (PNG, HTML, PDF). + + This method saves the current figure to the output directory in three formats: + PNG (for raster images), HTML (for interactive viewing), and PDF (for printing). + + Args: + export_file (str, optional): Custom filename for the exported plot. + If None, the plot will be saved using the class name as the filename. + + Raises: + Exception: If there is an error writing any of the output files. + """ + # Check if the plot is empty before saving + self.check_empty_plot() + + try: + img_file = ( + f"{self.out_dir}/{type(self).__name__}.png" + if export_file is None + else export_file + ) + self.fig.write_image(f"{img_file}", scale=4) + except Exception as e: # noqa + log.error(e) + log.error(f"Couldn't write PNG of chart for {img_file}") + + self.fig.write_html(img_file.replace(".png", ".html")) + write_image(self.fig, img_file.replace(".png", ".pdf"), format="pdf") + + def get_html(self): + """ + Generate an HTML representation of the current plot. + + This method creates an HTML div containing the interactive Plotly plot, + which can be embedded in web pages or dashboards. The plot is configured + to be responsive to container size changes. + + Returns: + str: HTML string containing the plot as a div element that can be + embedded in a web page. + """ + # Check if the plot is empty before generating HTML + self.check_empty_plot() + + return plot( + self.fig, + output_type="div", + include_plotlyjs=False, + config={"responsive": True}, + ) + + # This is the closest plotly equivalent to plt.close() + def clear_data(self): + """ + Clear all data and layout settings from the current figure. + + This method removes all traces and layout settings from the figure, + effectively resetting it to an empty state. This is similar to + matplotlib's plt.close() functionality. + """ + self.fig.data = [] + self.fig.layout = {} + + def check_empty_plot(self): + """ + Check if the plot is empty after the plot() method has been called. + Raises an error if the plot is empty. + + This method can be overridden by subclasses if they need custom logic + for detecting empty plots. + """ + if not self.fig.data: + log.error( + f"Empty plot detected in {self.__class__.__name__}. No data was plotted." + ) + + def get_sunburst_trace(self, data, colors): + """ + Create a Plotly sunburst trace from the provided data and colors. + + This method generates a sunburst visualization trace that can be added to + a Plotly figure. It configures the trace with the specified data structure + and color settings. + + Args: + data (dict): Dictionary containing the sunburst data structure with keys: + 'children' (list): Labels for each segment + 'parents' (list): Parent labels for each segment + 'values' (list): Values determining the size of each segment + colors (list): List of colors to use for the sunburst segments + + Returns: + go.Sunburst: A configured Plotly Sunburst trace object ready to be + added to a figure + """ + return go.Sunburst( + labels=data["children"], + parents=data["parents"], + values=data["values"], + leaf={"opacity": 0.5}, + marker={"colors": colors}, + ) diff --git a/core/gui/plots/base_table.py b/core/gui/plots/base_table.py new file mode 100644 index 0000000..876cccb --- /dev/null +++ b/core/gui/plots/base_table.py @@ -0,0 +1,97 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import html +import tempfile + +from act.core.utils.logger import log +from prettytable import PrettyTable + + +class BaseTable: + """ + Base class for table visualizations in the ACT dashboard. + + This class provides common functionality for creating and formatting tables + that display data in the ACT visualization system. It handles initialization + of table structures, data management, and HTML rendering with consistent styling. + + Subclasses should extend this class to implement specific table types by + populating the header and data attributes with appropriate content for their + visualization needs. + """ + + def __init__(self, out_dir: str = None): + """ + Initialize a base table object with output directory and data structures. + + Args: + out_dir (str, optional): The output directory for saving table files. + If None, a temporary directory will be created with the prefix "act_table_". + + The constructor initializes the table structure with empty header and data, + setting up the foundation for subclasses to populate with specific content. + The table object itself is initialized as None and will be created when + get_html() is called. + """ + if out_dir is not None: + self.out_dir = out_dir + else: + temp_out = tempfile.TemporaryDirectory(prefix="act_table_") + self.out_dir = temp_out + + self.table = None + self.header = [] + self.data = [] + self.data_dict = {} + + def get_html(self, align: dict = None): + """ + Generate and return the HTML representation of the table. + + This method creates a PrettyTable object from the table's header and data, + applies any specified alignment settings, and converts it to an HTML string. + If the data dictionary is populated but the data list is empty, it will + convert the dictionary to a list format before rendering. + + If both data structures are empty, a warning is logged and an empty table + will be returned. + + Args: + align(dict[str -> str]): The header name to align value in PrettyTable if the column should override the default text alignment. + + Returns: + str: HTML snippet containing the formatted table with appropriate styling. + """ + + # if the data dict is populated, load the table data from there + if len(self.data_dict) > 0 and len(self.data) == 0: + self.data = [[k, v] for k, v in self.data_dict.items()] + + # otherwise make sure that the table data is not empty + if len(self.data) == 0: + log.warning( + f"Table {self.__class__.__name__} has not entries in the data_dict. The resulting table will be empty." + ) + + self.table = PrettyTable(header=True, field_names=self.header) + self.table.format = True + self.table.add_rows(self.data) + + if align is not None: + for ( + k, + v, + ) in align.items(): + self.table.align[k] = v + + html_output = html.unescape( + self.table.get_html_string( + attributes={"border": "1px solid", "text-align": "left"} + ) + ) + + return html_output diff --git a/core/gui/plots/bom_table.py b/core/gui/plots/bom_table.py new file mode 100644 index 0000000..bd27822 --- /dev/null +++ b/core/gui/plots/bom_table.py @@ -0,0 +1,87 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import mW + + +class BOMTable(BaseTable): + """ + A table that displays Bill of Materials (BOM) information for the analyzed system. + + This table presents key metadata about the system's bill of materials, including + the BOM name, description, macros, file path, operating power, and operating + location. + + The BOM information is fundamental to the carbon analysis as it defines the + components and configuration of the system being analyzed. This table + provides a concise overview of the system configuration that forms + the basis of the carbon analysis. + + The table is formatted with two columns: "Field" and "Value", making it easy to + read and understand the system's basic configuration parameters. + """ + + def __init__( + self, + act, + *args, + power_unit=mW, + **kwargs, + ): + """ + Initialize the BOM Table with ACT analysis data. + + Args: + act: The ACT analysis object containing the bill of materials and + operating power information. + *args: Variable length argument list passed to BaseTable. + power_unit (Unit, optional): The unit to use for displaying power values. + Defaults to milliwatts (mW). + **kwargs: Arbitrary keyword arguments passed to BaseTable. + + The constructor initializes the table with the provided ACT analysis object and + configuration options, then immediately calls plot() to populate the table data. + """ + self.act = act + self.power_unit = power_unit + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """ + Populate the table with BOM information data. + + This method sets up the table header with "Field" and "Value" columns, + and populates the data dictionary with key information about the bill of materials, + including: + - BOM name and description + - Macro definitions used in the BOM + - File path to the BOM source + - System operating power and location + """ + self.header = ["Field", "Value"] + + self.data_dict = { + "Name": self.act.bom.name, + "Description": self.act.bom.description, + "Macros": "
".join([f"{k}: {v}" for k, v in self.act.bom.macros.items()]) + if self.act.bom.macros is not None + else "-", + "File Path": self.act.bom.file, + } + + def get_html(self): + """ + Generate the HTML representation of the BOM table. + + Overrides the parent class method to apply left alignment to all columns + in the table for better readability of the BOM information. + + Returns: + str: HTML representation of the table with left-aligned columns. + """ + return super().get_html(align={k: "l" for k in self.header}) diff --git a/core/gui/plots/carbon_by_device_table.py b/core/gui/plots/carbon_by_device_table.py new file mode 100644 index 0000000..c199840 --- /dev/null +++ b/core/gui/plots/carbon_by_device_table.py @@ -0,0 +1,79 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from math import isclose + +from act.core.carbon import SourceType +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import kg + + +class CarbonByDeviceTable(BaseTable): + """ + A table that displays carbon emissions breakdown by device and source type. + + This table presents detailed carbon emissions data for each device in the system, + showing both the total carbon footprint and the breakdown by different source types + (e.g., Packaging, Materials, Operation, etc.). Each row represents a device, and + columns show carbon values for different emission sources. + + The table provides a comprehensive view of which devices contribute most significantly + to the system's carbon footprint and from which sources their emissions primarily come, + allowing for targeted optimization of high-impact components. + """ + + def __init__(self, act, *args, weight_unit=kg, **kwargs): + """ + Initialize the Carbon By Device Table with ACT analysis data. + + Args: + act: The ACT analysis object containing carbon emissions results data + broken down by device and source type. + *args: Variable length argument list passed to BaseTable. + weight_unit (Unit, optional): The unit to use for displaying carbon weight values. + Defaults to kilograms (kg). + **kwargs: Arbitrary keyword arguments passed to BaseTable. + + The constructor initializes the table with the provided ACT analysis object and + weight unit preference, then immediately calls plot() to populate the table data + with carbon emissions information for each device. + """ + self.act = act + self.weight_unit = weight_unit + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """ + Populate the table with carbon emissions data by device and source type. + + This method: + 1. Sets up the table header with columns for device name, total carbon, + and carbon by each source type + 2. Formats the weight unit for display in column headers + 3. Iterates through all devices in the carbon results + 4. For each device, extracts and formats its total carbon emissions and + the breakdown by source type + 5. Adds each device's data as a row in the table + """ + + fweight_unit = "(" + format(self.weight_unit.units, "~") + ")" + self.header = ["Device", f"Total
{fweight_unit}"] + [ + t.name.title() + f"
{fweight_unit}" for t in SourceType + ] + + carbon_by_device = self.act.results.carbon_by_device + for dname in sorted(carbon_by_device): + carbon = carbon_by_device[dname] + data_entry = [dname, "%.2f" % carbon.total().to(self.weight_unit).m] + + for t in SourceType: + partial_val = carbon.partial(t).to(self.weight_unit).m + if isclose(partial_val, 0): + data_entry.append("-") + else: + data_entry.append("%.2f" % carbon.partial(t).to(self.weight_unit).m) + self.data.append(data_entry) diff --git a/core/gui/plots/category_carbon_plot.py b/core/gui/plots/category_carbon_plot.py new file mode 100644 index 0000000..ebb966a --- /dev/null +++ b/core/gui/plots/category_carbon_plot.py @@ -0,0 +1,176 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ModelType +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import MODEL_TYPE_COLOR_MAP +from act.core.utils.units import kg + + +class CategoryCarbonPlot(BaseACTPlot): + """ + Plot the carbon emissions breakdown by device category type. + + This visualization creates a sunburst chart that shows the distribution of carbon + emissions across different device categories (e.g., Logic, DRAM, PCB, etc.) in the + system. The chart displays hierarchical data with the total emissions at the center, + device categories in the middle ring, and individual devices in the outer ring. + + Each segment's size represents the relative carbon contribution, making it easy to + identify which device types and specific components contribute most significantly + to the overall carbon footprint of the system. + """ + + def __init__(self, *args, **kwargs): + """ + Initialize the DevicePlot visualization. + + Args: + *args: Variable length argument list passed to BaseACTPlot. + Should include the ACT analysis object. + **kwargs: Arbitrary keyword arguments passed to BaseACTPlot. + May include configuration options for the plot. + + The constructor initializes the plot by calling the parent class constructor + and then immediately generates the plot visualization. + """ + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + """ + Generate the label for the center node of the sunburst chart. + + This method calculates the total carbon weight across all devices and formats + it into a label string for the center (top) node of the sunburst visualization. + The label includes the word "Total" and the formatted carbon weight value. + + Returns: + str: HTML-formatted label string with "Total" and the carbon weight value. + """ + total_weight = self.get_total_carbon_weight() + label = "Total
" + self.weight_as_str(total_weight) + return label + + def get_category_carbon(self, power_category): + """ + Calculate the total carbon emissions for a specific device category type. + + This method sums the carbon emissions for all devices that match the specified + model type (power_category). It filters the carbon results to include only + devices of the matching type before summing their total carbon values. + + Args: + power_category (ModelType): The device model type to calculate carbon for. + + Returns: + Quantity: Total carbon emissions for the specified device category with + appropriate units (typically kg CO2e). + """ + total = 0 * kg + for dname, carbon in self.carbon_results.items(): + dev_type = self.bom.devices[dname].model + if dev_type is power_category: + total += carbon.total() + return total + + def get_category_label(self, dtype): + """ + Generate a formatted label for a device category in the sunburst chart. + + Creates a label that includes the device category type name, carbon emissions value, + and percentage of total emissions. This label is used for the middle ring segments + in the sunburst visualization, representing different device categories. + + Args: + dtype (ModelType): The device model type to create a label for. + + Returns: + str: HTML-formatted label string with category name, carbon value, and percentage. + """ + cat_carbon = self.get_category_carbon(dtype) + fcarbon = self.weight_as_str(cat_carbon) + fpercent = self.weight_as_percent(cat_carbon) + label = f"{dtype.name.title()}
{fcarbon}
{fpercent}" + return label + + def get_child_label(self, name, fcarbon, fpercent): + """ + Return the formatted label for a device in the sunburst chart. + + Args: + name (str): The name of the device. + fcarbon (str): Formatted string representing the carbon emissions value. + fpercent (str): Formatted string representing the percentage of total emissions. + + Returns: + str: HTML-formatted label string with device name, carbon value, and percentage. + """ + return f"{name}
{fcarbon}
{fpercent}" + + def make_sunburst_data(self): + """ + Generate data for the device category sunburst visualization. + + This method creates a hierarchical data structure for the sunburst chart with: + - The total emissions at the center + - Device categories in the middle ring + - Individual devices in the outer ring + + It pre-computes category labels and then populates child sectors with device-specific + carbon emission data, formatting labels with appropriate carbon values and percentages. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + - list: List of colors for the sunburst segments + """ + # top node in the chart + top_node = self.get_top_node_label() + total_weight = self.get_total_carbon_weight() + + # pre-compute category labels + category_label = { + power_category: self.get_category_label(power_category) + for power_category in ModelType + } + + children = [""] + list(category_label.values()) + colors = ["white"] + list(MODEL_TYPE_COLOR_MAP.values()) + parents = [top_node] * len(children) + values = [0] * len(children) + + # populate the child sectors + for dname, carbon in self.carbon_results.items(): + device = self.bom.devices[dname] + category = device.model + + weight = carbon.total() + fcarbon = self.weight_as_str(weight) + fpercent = self.weight_as_percent(weight, total_weight) + child_label = self.get_child_label(dname, fcarbon, fpercent) + parent_label = category_label[category] + + parents.append(parent_label) + colors.append(MODEL_TYPE_COLOR_MAP[category]) + values.append(weight.to(self.weight_unit).m) + children.append(child_label) + + data = {"children": children, "parents": parents, "values": values} + return data, colors + + def plot(self): + """ + Generate the device category sunburst plot. + + Creates a sunburst visualization showing the hierarchical breakdown of carbon + emissions by device category. The plot displays the total emissions at the center, + device categories in the middle ring, and individual devices in the outer ring. + + The plot title includes the weight unit used for carbon measurements, and the + visualization is configured with appropriate layout settings. + """ + super().plot(title=f"Carbon Emissions by Device Category ({self.fweight_unit})") diff --git a/core/gui/plots/category_cost_plot.py b/core/gui/plots/category_cost_plot.py new file mode 100644 index 0000000..ec50d4c --- /dev/null +++ b/core/gui/plots/category_cost_plot.py @@ -0,0 +1,76 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ModelType +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import get_model_type_color, MODEL_TYPE_COLOR_MAP +from act.core.utils.units import dollar + + +class CategoryCostPlot(BaseACTPlot): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + total_cost = self.get_total_cost() + label = "Total
" + self.cost_as_str(total_cost) + return label + + def get_category_cost(self, cost_category): + total = 0 * dollar + for dname, cost_result in self.act.cost_analyzer.cost_by_device.items(): + dev_type = self.bom.devices[dname].model + if dev_type is cost_category: + total += cost_result.total + return total + + def get_category_label(self, dtype): + cat_cost = self.get_category_cost(dtype) + fcost = self.cost_as_str(cat_cost) + fpercent = self.cost_as_percent(cat_cost) + label = f"{dtype.name.title()}
{fcost}
{fpercent}" + return label + + def get_child_label(self, name, fcost, fpercent): + return f"{name}
{fcost}
{fpercent}" + + def make_sunburst_data(self): + top_node = self.get_top_node_label() + total_cost = self.get_total_cost() + + category_label = { + cost_category: self.get_category_label(cost_category) + for cost_category in ModelType + } + + children = [""] + list(category_label.values()) + colors = ["white"] + list(MODEL_TYPE_COLOR_MAP.values()) + parents = [top_node] * len(children) + values = [0] * len(children) + + # populate the child sectors + cost_by_device = self.act.cost_analyzer.cost_by_device + for dname, cost in cost_by_device.items(): + device = self.bom.devices[dname] + category = device.model + + cost = cost_by_device[dname].total + fcost = self.cost_as_str(cost) + fpercent = self.cost_as_percent(cost, total_cost) + child_label = self.get_child_label(dname, fcost, fpercent) + parent_label = category_label[category] + + parents.append(parent_label) + colors.append(get_model_type_color(category)) + values.append(cost.to(self.cost_unit).m) + children.append(child_label) + + data = {"children": children, "parents": parents, "values": values} + return data, colors + + def plot(self): + super().plot(title=f"Cost by Device Category ({self.fcost_unit})") diff --git a/core/gui/plots/cost_table.py b/core/gui/plots/cost_table.py new file mode 100644 index 0000000..9693a4f --- /dev/null +++ b/core/gui/plots/cost_table.py @@ -0,0 +1,67 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from math import isclose + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import dollar + + +class CostTable(BaseTable): + """A table that displays cost breakdown by device. + + This table shows operational costs (opex), manufacturing costs (capex), + and carbon offset costs for each device in the system. + """ + + def __init__(self, act, *args, cost_unit=dollar, **kwargs): + """Initialize the Cost Table. + + Args: + act (ACTModel): The ACT analysis object containing cost data. + *args: Additional positional arguments passed to BaseTable. + cost_unit (pint.Quantity): Unit for cost display. Defaults to dollar. + **kwargs: Additional keyword arguments passed to BaseTable. + """ + self.act = act + self.cost_unit = cost_unit + self.fcost_unit = format(cost_unit.units, "~") + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """Populate the table with cost data by device. + + Sets up the table header and populates rows with cost breakdown + for each device including opex, capex, and offset costs. + """ + self.header = [ + "Device", + "Cost", + "Operational Cost
(Opex)", + "Operation Offset Cost", + "Manufacturing Cost
(Capex)", + "Embodied Offset Cost", + ] + + def fcost(cost): + if isclose(cost.m, 0): + return "-" + else: + return f"{cost.to(self.cost_unit).m:.2f} " + self.fcost_unit + + cost_by_device = self.act.cost_analyzer.cost_by_device + for dname in sorted(cost_by_device): + result = cost_by_device[dname] + dataline = [ + dname, + fcost(result.total), + fcost(result.opex), + fcost(result.opex_offset), + fcost(result.capex), + fcost(result.capex_offset), + ] + self.data.append(dataline) diff --git a/core/gui/plots/cost_type_plot.py b/core/gui/plots/cost_type_plot.py new file mode 100644 index 0000000..a97b3cb --- /dev/null +++ b/core/gui/plots/cost_type_plot.py @@ -0,0 +1,123 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import random + +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import MODEL_TYPE_COLOR_MAP +from act.core.utils.units import dollar + + +class CostTypePlot(BaseACTPlot): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + """Return the label name for the top node in the chart""" + total_cost = self.get_total_cost() + label = "Total
" + self.cost_as_str(total_cost) + return label + + def get_category_cost(self, fx): + """Return the total cost for this source type in units of cost""" + total_partials = 0 * dollar + + for v in self.act.cost_analyzer.cost_by_device.values(): + total_partials += fx(v) + return total_partials + + def get_category_label(self, cname, fx): + """Return the label for the category source type sector""" + cat_cost = self.get_category_cost(fx=fx) + fcost = self.cost_as_str(cat_cost) + fpercent = self.cost_as_percent(cat_cost) + label = f"{cname}
{fcost}
{fpercent}" + return label + + def get_child_label(self, name, ctype, fcost, fpercent): + """ + Return the formatted label for a device in the sunburst chart. + + Args: + name (str): The name of the device. + stype (SourceType): The source type of the device. + fcost (str): Formatted string representing the cost emissions value. + fpercent (str): Formatted string representing the percentage of total emissions. + + Returns: + str: HTML-formatted label string with device name, cost value, percentage, and source type. + """ + return f"{name}
{fcost}
{fpercent}
({ctype.title()})" + + def make_sunburst_data(self): + """ + Generate data for the source type sunburst visualization. + + This method creates a hierarchical data structure for the sunburst chart with: + - The total emissions at the center + - Source type categories in the middle ring + - Individual devices in the outer ring + + It pre-computes category labels and then populates child sectors with device-specific + cost emission data, formatting labels with appropriate cost values and percentages. + Each segment is color-coded according to its source type using the COLOR_MAP. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + for the sunburst chart hierarchy + - list: List of colors for the sunburst segments based on source types + """ + # Get the top node label for the center of the sunburst + top_node = self.get_top_node_label() + total_cost = self.get_total_cost() + + fx_opex = lambda x: x.opex + fx_opex_offset = lambda x: x.opex_offset + fx_capex = lambda x: x.capex + fx_capex_offset = lambda x: x.capex_offset + categories = { + "Opex": fx_opex, + "Opex Offsets": fx_opex_offset, + "Capex": fx_capex, + "Capex Offsets": fx_capex_offset, + } + color_map = { + k: random.choice(list(MODEL_TYPE_COLOR_MAP.values())) for k in categories + } + + # construct the first level categorical hierarchy with zero cost + children = [""] + [self.get_category_label(k, v) for k, v in categories.items()] + colors = ["white"] + [color_map[k] for k in categories] + parents = [top_node] * len(children) + values = [0] * len(children) + + # generate the second level child nodes where power by category for each device is instantiated across the categories + cost_by_device = self.act.cost_analyzer.cost_by_device + + # process operational cost + for ctype, fx in categories.items(): + category_label = self.get_category_label(cname=ctype, fx=fx) + color = color_map[ctype] + for dname, cost in cost_by_device.items(): + partial = fx(cost) + sector_cost = partial.to(self.cost_unit).m + fcost = self.cost_as_str(partial) + fpercent = self.cost_as_percent(partial, total_cost) + child_label = self.get_child_label(dname, ctype, fcost, fpercent) + parent_label = category_label + + colors.append(color) + parents.append(parent_label) + values.append(sector_cost) + children.append(child_label) + + data = {"children": children, "parents": parents, "values": values} + return data, colors + + def plot(self): + super().plot(title=f"Cost by Expenditure Type ({self.fcost_unit})") diff --git a/core/gui/plots/delta_carbon_barchart.py b/core/gui/plots/delta_carbon_barchart.py new file mode 100644 index 0000000..0c75053 --- /dev/null +++ b/core/gui/plots/delta_carbon_barchart.py @@ -0,0 +1,328 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import plotly.graph_objects as go +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import DeltaCardLayout, get_model_type_color +from plotly.offline import plot + + +class DeltaCarbonBarchart(BaseACTPlot): + """ + A horizontal stacked bar chart showing carbon emissions differences by model type. + + This plot displays carbon emissions differences between baseline + and experiment simulations in a horizontal stacked bar chart format, + showing device-level details on hover and using consistent colors per category. + """ + + def __init__(self, base_sim, delta_sims): + """ + Initialize the Delta Carbon Bar Chart plot. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + # Use base_sim as the act parameter for BaseACTPlot + super().__init__(act=base_sim) + + def make_sunburst_data(self): + """ + Generate data for a sunburst visualization. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + - list: Optional list of colors for the sunburst segments + """ + # Placeholder implementation - not used for bar chart + data = {"children": ["Placeholder"], "parents": [""], "values": [1.0]} + colors = None + return data, colors + + def make_stacked_barchart_data(self, sim): + """ + Creates dataset for a stacked barchart from carbon results. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary with ModelType.value as keys and lists of device data as values + """ + if ( + not sim + or not hasattr(sim, "results") + or not hasattr(sim.results, "carbon_by_device") + ): + return {} + + barchart_data = {} + total_carbon = sim.results.total_carbon.total().to(self.weight_unit) + + for device_name, carbon_result in sim.results.carbon_by_device.items(): + # Get device data to determine model type + if hasattr(sim, "bom") and sim.bom and device_name in sim.bom.devices: + device_data = sim.bom.devices[device_name] + model_type = device_data.model + + # Convert carbon to weight unit + carbon_value = carbon_result.total().to(self.weight_unit) + carbon_magnitude = carbon_value.m + + # Skip devices with near-zero carbon + if abs(carbon_magnitude) < 1e-5: + continue + + # Format carbon value and percentage + fcarbon_val = f"{carbon_magnitude:.2f} {self.fweight_unit}" + if total_carbon.m > 0: + fpercent = f"{(carbon_magnitude / total_carbon.m * 100):.2f}" + else: + fpercent = "0.00" + + # Add the category to the barchart data if it doesn't exist yet + category_name = model_type.value.title() + if category_name not in barchart_data: + barchart_data[category_name] = [] + + barchart_data[category_name].append( + { + "device_name": device_name, + "carbon_value": carbon_value, + "fcarbon_val": fcarbon_val, + "fpercent": fpercent, + "color": get_model_type_color(model_type), + } + ) + + return barchart_data + + def generate_stacked_bar_traces(self, barchart_data, category_suffix): + """ + Converts the barchart data into plotly stacked bar traces list. + + Args: + barchart_data (dict): The barchart data to convert. + category_suffix (str): The suffix to add to the category labels. + + Returns: + tuple: A tuple containing the barchart traces and annotations. + """ + barchart_traces = {} + barchart_traces_current_val = {} + barchart_annotations = [] + + for category, barchart_items in barchart_data.items(): + category_label = f"{category} ({category_suffix})" + # Initialize the trace list for category if it doesn't exist + if category not in barchart_traces: + barchart_traces[category] = [] + barchart_traces_current_val[category] = 0.0 + + # if there are no items in category, generate a single empty bar as a placeholder + if not barchart_items: + barchart_traces[category].append( + go.Bar( + y=[category_label], + x=[0], + orientation="h", + base=0, + ) + ) + else: + # convert barchart data into plotly stacked barchart items + for barchart_item in barchart_items: + trace_label = f"{barchart_item['device_name']}
{barchart_item['fcarbon_val']}
{barchart_item['fpercent']}%" + + barchart_traces[category].append( + go.Bar( + y=[category_label], + x=[barchart_item["carbon_value"].m], + customdata=[trace_label], + name="", + orientation="h", + marker_color=barchart_item["color"], + base=barchart_traces_current_val[category], + hovertemplate="%{customdata}", + ) + ) + + # keep track where to stack the next item on x axis + barchart_traces_current_val[category] += barchart_item[ + "carbon_value" + ].m + + # Add the total carbon annotation for each stacked bar + category_carbon_total = ( + f"{barchart_traces_current_val[category]:.2f} {self.fweight_unit}" + ) + barchart_annotations.append( + go.layout.Annotation( + x=barchart_traces_current_val[category], + y=category_label, + text=category_carbon_total, + showarrow=False, + xanchor="left", + yanchor="middle", + ) + ) + + return barchart_traces, barchart_annotations + + def relocate_identical_values(self, barchart_data_1, barchart_data_2): + """ + Puts all identical components within each barchart dataset at top of lists and makes empty rows for missing categories. + + Args: + barchart_data_1 (dict): The first barchart data. + barchart_data_2 (dict): The second barchart data. + + Returns: + tuple: A tuple containing the sorted barchart data. + """ + sorted_barchart_data_1 = {} + sorted_barchart_data_2 = {} + + # Iterate through each category in both datasets + all_categories = set(barchart_data_1.keys()).union(barchart_data_2.keys()) + for category in all_categories: + identical_1 = [] + identical_2 = [] + non_identical_1 = [] + non_identical_2 = [] + + barchart_items_1 = barchart_data_1.get(category, []) + barchart_items_2 = barchart_data_2.get(category, []) + + # Iterate through barchart_items_1 and compare with barchart_items_2 + for i, item_1 in enumerate(barchart_items_1): + if i < len(barchart_items_2): + item_2 = barchart_items_2[i] + if abs(item_1["carbon_value"].m - item_2["carbon_value"].m) < 1e-5: + identical_1.append(item_1) + identical_2.append(item_2) + else: + non_identical_1.append(item_1) + non_identical_2.append(item_2) + else: + non_identical_1.append(item_1) + + # Add remaining items from barchart_items_2 to non_identical_2 + for j in range(len(barchart_items_1), len(barchart_items_2)): + non_identical_2.append(barchart_items_2[j]) + + sorted_barchart_data_1[category] = identical_1 + non_identical_1 + sorted_barchart_data_2[category] = identical_2 + non_identical_2 + + return sorted_barchart_data_1, sorted_barchart_data_2 + + def get_html(self): + """ + Generate HTML content for the horizontal stacked bar chart showing carbon emissions differences. + + Returns: + str: HTML content containing the Plotly horizontal stacked bar chart. + """ + # Get stacked barchart data for all simulations + base_barchart_data = self.make_stacked_barchart_data(self.base_sim) + exp_barchart_data = [] + + for experiment_sim in self.delta_sims: + base_barchart_data, exp_barchart = self.relocate_identical_values( + base_barchart_data, + self.make_stacked_barchart_data(experiment_sim), + ) + exp_barchart_data.append(exp_barchart) + + # Convert baseline barchart dataset into plotly stacked bar dataset + base_barchart_traces, barchart_annotations = self.generate_stacked_bar_traces( + base_barchart_data, "Baseline" + ) + + # Convert experiment barchart datasets into plotly stacked bar datasets + exp_traces = [] + for idx, exp_barchart_rows in enumerate(exp_barchart_data): + exp_trace, exp_annotation = self.generate_stacked_bar_traces( + exp_barchart_rows, f"Experiment {idx + 1}" + ) + exp_traces.append((exp_trace, exp_annotation)) + + # Collect all traces with their labels for sorting + all_traces = [] + + # Add baseline traces + for cat in base_barchart_traces.keys(): + for trace in base_barchart_traces[cat]: + all_traces.append(trace) + + # Add experiment traces and annotations + for exp_trace, exp_ann in exp_traces: + barchart_annotations += exp_ann + for cat in exp_trace.keys(): + for trace in exp_trace[cat]: + all_traces.append(trace) + + # Sort traces by parsing simulation type from y-axis labels + def get_sort_key(trace): + if hasattr(trace, "y") and trace.y: + label = trace.y[0] # Get the y-axis label + if "(" in label and ")" in label: + # Extract the part in parentheses + sim_type = label.split("(")[1].split(")")[0] + category = label.split("(")[0].strip() + + # Create sort key: (category, simulation_order) + if sim_type == "Baseline": + return (category, 0) + elif sim_type.startswith("Experiment "): + try: + exp_num = int(sim_type.split("Experiment ")[1]) + return (category, exp_num) + except (ValueError, IndexError): + return (category, 999) # fallback for malformed labels + else: + return (category, 999) # fallback for unknown types + else: + return (label, 999) # fallback for labels without parentheses + return ("", 999) # fallback for traces without y labels + + # Sort all traces by category and simulation type (reverse to put baseline first) + all_traces.sort(key=get_sort_key, reverse=True) + joint_barchart_trace_data = all_traces + + # Define layout using centralized styling + bar_plot_layout = go.Layout( + barmode="stack", + xaxis={"title": f"Carbon Emissions ({self.fweight_unit})"}, + yaxis={"title": "Carbon Category (Model Type)"}, + showlegend=False, + bargap=0.1, + title="Carbon Emissions Difference", + height=max( + DeltaCardLayout.BAR_CHART_MIN_HEIGHT, + len(base_barchart_traces) + * DeltaCardLayout.BAR_CHART_HEIGHT_PER_CATEGORY, + ), + margin=DeltaCardLayout.BAR_CHART_MARGIN, + ) + + # Create the figure + fig = go.Figure( + data=joint_barchart_trace_data, + layout=bar_plot_layout, + ) + + # Add annotations to bars + fig.update_layout(annotations=barchart_annotations) + + # Convert to HTML + plot_html = plot(fig, output_type="div", include_plotlyjs=True) + + return plot_html diff --git a/core/gui/plots/delta_carbon_table.py b/core/gui/plots/delta_carbon_table.py new file mode 100644 index 0000000..35d0b23 --- /dev/null +++ b/core/gui/plots/delta_carbon_table.py @@ -0,0 +1,189 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ModelType +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import kg + + +class DeltaCarbonTable(BaseTable): + """ + A table showing detailed carbon emissions delta comparison data. + + This table displays numerical carbon emissions differences between baseline + and experiment simulations, providing detailed breakdowns by subsystem, + device, and experiment for precise analysis. + """ + + def __init__(self, base_sim, delta_sims, decimal_places=2): + """ + Initialize the Delta Carbon Table. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + decimal_places (int): Number of decimal places for carbon values + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + self.decimal_places = decimal_places + self.carbon_unit = kg + self.fcarbon_unit = format(self.carbon_unit.units, "~") + + super().__init__() + + if self.base_sim and self.delta_sims: + self.plot() + + def get_carbon_by_device(self, sim): + """ + Get carbon breakdown by device for a simulation. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary mapping device name to carbon values + """ + if ( + not sim + or not hasattr(sim, "results") + or not hasattr(sim.results, "carbon_by_device") + ): + return {} + + carbon_by_device = {} + for dname, carbon_result in sim.results.carbon_by_device.items(): + carbon_by_device[dname] = carbon_result.total().to(self.carbon_unit) + return carbon_by_device + + def get_carbon_by_subsystem(self, sim): + """ + Get carbon breakdown by subsystem (model type) for a simulation. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary mapping ModelType to carbon values + """ + if ( + not sim + or not hasattr(sim, "results") + or not hasattr(sim.results, "carbon_by_device") + ): + return {} + + carbon_by_subsystem = {} + for model_type in ModelType: + total_carbon = 0 * self.carbon_unit + for dname, carbon_result in sim.results.carbon_by_device.items(): + if hasattr(sim, "bom") and sim.bom and dname in sim.bom.devices: + device = sim.bom.devices[dname] + if device.model == model_type: + total_carbon += carbon_result.total().to(self.carbon_unit) + carbon_by_subsystem[model_type] = total_carbon + return carbon_by_subsystem + + def plot(self): + """ + Populate the table with carbon emissions delta data. + """ + # Set up table header + self.header = ["Device", f"Baseline ({self.fcarbon_unit})"] + + # Add experiment columns + for i, _ in enumerate(self.delta_sims): + self.header.extend( + [ + f"Experiment {i + 1} ({self.fcarbon_unit})", + f"Delta {i + 1} ({self.fcarbon_unit})", + f"Delta {i + 1} (%)", + ] + ) + + # Get baseline carbon data + baseline_device_carbon = self.get_carbon_by_device(self.base_sim) + baseline_subsystem_carbon = self.get_carbon_by_subsystem(self.base_sim) + + # Add subsystem summary rows first + for model_type in ModelType: + baseline_carbon = baseline_subsystem_carbon[model_type] + + # Skip subsystems with zero carbon + if baseline_carbon.m == 0: + continue + + row = [ + f"[{model_type.name.title()}] Total", + f"{baseline_carbon.m:.{self.decimal_places}f}", + ] + + # Add experiment data for this subsystem + for _i, delta_sim in enumerate(self.delta_sims): + if delta_sim is not None: + delta_subsystem_carbon = self.get_carbon_by_subsystem(delta_sim) + delta_carbon = delta_subsystem_carbon[model_type] + difference = delta_carbon - baseline_carbon + percent_change = ( + (difference.m / baseline_carbon.m * 100) + if baseline_carbon.m != 0 + else 0 + ) + + row.extend( + [ + f"{delta_carbon.m:.{self.decimal_places}f}", + f"{difference.m:+.{self.decimal_places}f}", + f"{percent_change:.1f}%", + ] + ) + + self.data.append(row) + + # Add individual device rows grouped by subsystem + for model_type in ModelType: + devices_in_subsystem = [] + for dname, device in self.base_sim.bom.devices.items(): + if device.model == model_type and dname in baseline_device_carbon: + devices_in_subsystem.append(dname) + + # Sort devices within subsystem + for dname in sorted(devices_in_subsystem): + baseline_carbon = baseline_device_carbon[dname] + + # Skip devices with near-zero carbon + if abs(baseline_carbon.m) < 1e-5: + continue + + row = [ + f" {dname}", # Indent device names + f"{baseline_carbon.m:.{self.decimal_places}f}", + ] + + # Add experiment data for this device + for _i, delta_sim in enumerate(self.delta_sims): + if delta_sim is not None: + delta_device_carbon = self.get_carbon_by_device(delta_sim) + delta_carbon = delta_device_carbon.get( + dname, 0 * self.carbon_unit + ) + difference = delta_carbon - baseline_carbon + percent_change = ( + (difference.m / baseline_carbon.m * 100) + if baseline_carbon.m != 0 + else 0 + ) + + row.extend( + [ + f"{delta_carbon.m:.{self.decimal_places}f}", + f"{difference.m:+.{self.decimal_places}f}", + f"{percent_change:.1f}%", + ] + ) + + self.data.append(row) diff --git a/core/gui/plots/delta_cost_barchart.py b/core/gui/plots/delta_cost_barchart.py new file mode 100644 index 0000000..8834d1d --- /dev/null +++ b/core/gui/plots/delta_cost_barchart.py @@ -0,0 +1,332 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import plotly.graph_objects as go +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import DeltaCardLayout, get_model_type_color +from act.core.utils.units import dollar +from plotly.offline import plot + + +class DeltaCostBarchart(BaseACTPlot): + """ + A horizontal stacked bar chart showing cost differences by model type. + + This plot displays cost differences between baseline + and experiment simulations in a horizontal stacked bar chart format, + showing device-level details on hover and using consistent colors per category. + """ + + def __init__(self, base_sim, delta_sims): + """ + Initialize the Delta Cost Bar Chart plot. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + # Use base_sim as the act parameter for BaseACTPlot + super().__init__(act=base_sim) + + def make_sunburst_data(self): + """ + Generate data for a sunburst visualization. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + - list: Optional list of colors for the sunburst segments + """ + # Placeholder implementation - not used for bar chart + data = {"children": ["Placeholder"], "parents": [""], "values": [1.0]} + colors = None + return data, colors + + def make_stacked_barchart_data(self, sim): + """ + Creates dataset for a stacked barchart from cost results. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary with ModelType.value as keys and lists of device data as values + """ + if ( + not sim + or not hasattr(sim, "cost_analyzer") + or not hasattr(sim.cost_analyzer, "cost_by_device") + ): + return {} + + barchart_data = {} + + # Calculate total cost for percentage calculations + total_cost = 0 * dollar + for cost_result in sim.cost_analyzer.cost_by_device.values(): + total_cost += cost_result.total + + for device_name, cost_result in sim.cost_analyzer.cost_by_device.items(): + # Get device data to determine model type + if hasattr(sim, "bom") and sim.bom and device_name in sim.bom.devices: + device_data = sim.bom.devices[device_name] + model_type = device_data.model + + # Convert cost to cost unit + cost_value = cost_result.total.to(self.cost_unit) + cost_magnitude = cost_value.m + + # Skip devices with near-zero cost + if abs(cost_magnitude) < 1e-5: + continue + + # Format cost value and percentage + fcost_val = f"{cost_magnitude:.2f} {self.fcost_unit}" + if total_cost.m > 0: + fpercent = f"{(cost_magnitude / total_cost.to(self.cost_unit).m * 100):.2f}" + else: + fpercent = "0.00" + + # Add the category to the barchart data if it doesn't exist yet + category_name = model_type.value.title() + if category_name not in barchart_data: + barchart_data[category_name] = [] + + barchart_data[category_name].append( + { + "device_name": device_name, + "cost_value": cost_value, + "fcost_val": fcost_val, + "fpercent": fpercent, + "color": get_model_type_color(model_type), + } + ) + + return barchart_data + + def generate_stacked_bar_traces(self, barchart_data, category_suffix): + """ + Converts the barchart data into plotly stacked bar traces list. + + Args: + barchart_data (dict): The barchart data to convert. + category_suffix (str): The suffix to add to the category labels. + + Returns: + tuple: A tuple containing the barchart traces and annotations. + """ + barchart_traces = {} + barchart_traces_current_val = {} + barchart_annotations = [] + + for category, barchart_items in barchart_data.items(): + category_label = f"{category} ({category_suffix})" + # Initialize the trace list for category if it doesn't exist + if category not in barchart_traces: + barchart_traces[category] = [] + barchart_traces_current_val[category] = 0.0 + + # if there are no items in category, generate a single empty bar as a placeholder + if not barchart_items: + barchart_traces[category].append( + go.Bar( + y=[category_label], + x=[0], + orientation="h", + base=0, + ) + ) + else: + # convert barchart data into plotly stacked barchart items + for barchart_item in barchart_items: + trace_label = f"{barchart_item['device_name']}
{barchart_item['fcost_val']}
{barchart_item['fpercent']}%" + + barchart_traces[category].append( + go.Bar( + y=[category_label], + x=[barchart_item["cost_value"].m], + customdata=[trace_label], + name="", + orientation="h", + marker_color=barchart_item["color"], + base=barchart_traces_current_val[category], + hovertemplate="%{customdata}", + ) + ) + + # keep track where to stack the next item on x axis + barchart_traces_current_val[category] += barchart_item[ + "cost_value" + ].m + + # Add the total cost annotation for each stacked bar + category_cost_total = ( + f"{barchart_traces_current_val[category]:.2f} {self.fcost_unit}" + ) + barchart_annotations.append( + go.layout.Annotation( + x=barchart_traces_current_val[category], + y=category_label, + text=category_cost_total, + showarrow=False, + xanchor="left", + yanchor="middle", + ) + ) + + return barchart_traces, barchart_annotations + + def relocate_identical_values(self, barchart_data_1, barchart_data_2): + """ + Puts all identical components within each barchart dataset at top of lists and makes empty rows for missing categories. + + Args: + barchart_data_1 (dict): The first barchart data. + barchart_data_2 (dict): The second barchart data. + + Returns: + tuple: A tuple containing the sorted barchart data. + """ + sorted_barchart_data_1 = {} + sorted_barchart_data_2 = {} + + # Iterate through each category in both datasets + all_categories = set(barchart_data_1.keys()).union(barchart_data_2.keys()) + for category in all_categories: + identical_1 = [] + identical_2 = [] + non_identical_1 = [] + non_identical_2 = [] + + barchart_items_1 = barchart_data_1.get(category, []) + barchart_items_2 = barchart_data_2.get(category, []) + + # Iterate through barchart_items_1 and compare with barchart_items_2 + for i, item_1 in enumerate(barchart_items_1): + if i < len(barchart_items_2): + item_2 = barchart_items_2[i] + if abs(item_1["cost_value"].m - item_2["cost_value"].m) < 1e-5: + identical_1.append(item_1) + identical_2.append(item_2) + else: + non_identical_1.append(item_1) + non_identical_2.append(item_2) + else: + non_identical_1.append(item_1) + + # Add remaining items from barchart_items_2 to non_identical_2 + for j in range(len(barchart_items_1), len(barchart_items_2)): + non_identical_2.append(barchart_items_2[j]) + + sorted_barchart_data_1[category] = identical_1 + non_identical_1 + sorted_barchart_data_2[category] = identical_2 + non_identical_2 + + return sorted_barchart_data_1, sorted_barchart_data_2 + + def get_html(self): + """ + Generate HTML content for the horizontal stacked bar chart showing cost differences. + + Returns: + str: HTML content containing the Plotly horizontal stacked bar chart. + """ + base_barchart_data = self.make_stacked_barchart_data(self.base_sim) + exp_barchart_data = [] + + for experiment_sim in self.delta_sims: + base_barchart_data, exp_barchart = self.relocate_identical_values( + base_barchart_data, + self.make_stacked_barchart_data(experiment_sim), + ) + exp_barchart_data.append(exp_barchart) + + # Convert baseline barchart dataset into plotly stacked bar dataset + base_barchart_traces, barchart_annotations = self.generate_stacked_bar_traces( + base_barchart_data, "Baseline" + ) + + # Convert experiment barchart datasets into plotly stacked bar datasets + exp_traces = [] + for idx, exp_barchart_rows in enumerate(exp_barchart_data): + exp_trace, exp_annotation = self.generate_stacked_bar_traces( + exp_barchart_rows, f"Experiment {idx + 1}" + ) + exp_traces.append((exp_trace, exp_annotation)) + + # Collect all traces with their labels for sorting + all_traces = [] + + # Add baseline traces + for cat in base_barchart_traces.keys(): + for trace in base_barchart_traces[cat]: + all_traces.append(trace) + + # Add experiment traces and annotations + for exp_trace, exp_ann in exp_traces: + barchart_annotations += exp_ann + for cat in exp_trace.keys(): + for trace in exp_trace[cat]: + all_traces.append(trace) + + # Sort traces by parsing simulation type from y-axis labels + def get_sort_key(trace): + if hasattr(trace, "y") and trace.y: + label = trace.y[0] # Get the y-axis label + if "(" in label and ")" in label: + # Extract the part in parentheses + sim_type = label.split("(")[1].split(")")[0] + category = label.split("(")[0].strip() + + # Create sort key: (category, simulation_order) + if sim_type == "Baseline": + return (category, 0) + elif sim_type.startswith("Experiment "): + try: + exp_num = int(sim_type.split("Experiment ")[1]) + return (category, exp_num) + except (ValueError, IndexError): + return (category, 999) # fallback for malformed labels + else: + return (category, 999) # fallback for unknown types + else: + return (label, 999) # fallback for labels without parentheses + return ("", 999) # fallback for traces without y labels + + # Sort all traces by category and simulation type (reverse to put baseline first) + all_traces.sort(key=get_sort_key, reverse=True) + joint_barchart_trace_data = all_traces + + # Define layout using centralized styling + bar_plot_layout = go.Layout( + barmode="stack", + xaxis={"title": f"Cost ({self.fcost_unit})"}, + yaxis={"title": "Cost Category (Model Type)"}, + showlegend=False, + bargap=0.1, + title="Cost Difference", + height=max( + DeltaCardLayout.BAR_CHART_MIN_HEIGHT, + len(base_barchart_traces) + * DeltaCardLayout.BAR_CHART_HEIGHT_PER_CATEGORY, + ), + margin=DeltaCardLayout.BAR_CHART_MARGIN, + ) + + # Create the figure + fig = go.Figure( + data=joint_barchart_trace_data, + layout=bar_plot_layout, + ) + + # Add annotations to bars + fig.update_layout(annotations=barchart_annotations) + + # Convert to HTML + plot_html = plot(fig, output_type="div", include_plotlyjs=True) + + return plot_html diff --git a/core/gui/plots/delta_cost_table.py b/core/gui/plots/delta_cost_table.py new file mode 100644 index 0000000..47a4b66 --- /dev/null +++ b/core/gui/plots/delta_cost_table.py @@ -0,0 +1,187 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ModelType +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import dollar + + +class DeltaCostTable(BaseTable): + """ + A table showing detailed cost delta comparison data. + + This table displays numerical cost differences between baseline + and experiment simulations, providing detailed breakdowns by subsystem, + device, and experiment for precise analysis. + """ + + def __init__(self, base_sim, delta_sims, decimal_places=2): + """ + Initialize the Delta Cost Table. + + Args: + base_sim: The baseline ACT simulation object + delta_sims: List of experiment ACT simulation objects to compare against baseline + decimal_places (int): Number of decimal places for cost values + """ + self.base_sim = base_sim + self.delta_sims = delta_sims + self.decimal_places = decimal_places + self.cost_unit = dollar + self.fcost_unit = "USD" + + super().__init__() + + if self.base_sim and self.delta_sims: + self.plot() + + def get_cost_by_device(self, sim): + """ + Get cost breakdown by device for a simulation. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary mapping device name to cost values + """ + if ( + not sim + or not hasattr(sim, "cost_analyzer") + or not hasattr(sim.cost_analyzer, "cost_by_device") + ): + return {} + + cost_by_device = {} + for dname, cost_result in sim.cost_analyzer.cost_by_device.items(): + cost_by_device[dname] = cost_result.total.to(self.cost_unit) + return cost_by_device + + def get_cost_by_subsystem(self, sim): + """ + Get cost breakdown by subsystem (model type) for a simulation. + + Args: + sim: ACT simulation object + + Returns: + dict: Dictionary mapping ModelType to cost values + """ + if ( + not sim + or not hasattr(sim, "cost_analyzer") + or not hasattr(sim.cost_analyzer, "cost_by_device") + ): + return {} + + cost_by_subsystem = {} + for model_type in ModelType: + total_cost = 0 * self.cost_unit + for dname, cost_result in sim.cost_analyzer.cost_by_device.items(): + if hasattr(sim, "bom") and sim.bom and dname in sim.bom.devices: + device = sim.bom.devices[dname] + if device.model == model_type: + total_cost += cost_result.total.to(self.cost_unit) + cost_by_subsystem[model_type] = total_cost + return cost_by_subsystem + + def plot(self): + """ + Populate the table with cost delta data. + """ + # Set up table header + self.header = ["Device", f"Baseline ({self.fcost_unit})"] + + # Add experiment columns + for i, _ in enumerate(self.delta_sims): + self.header.extend( + [ + f"Experiment {i + 1} ({self.fcost_unit})", + f"Delta {i + 1} ({self.fcost_unit})", + f"Delta {i + 1} (%)", + ] + ) + + # Get baseline cost data + baseline_device_costs = self.get_cost_by_device(self.base_sim) + baseline_subsystem_costs = self.get_cost_by_subsystem(self.base_sim) + + # Add subsystem summary rows first + for model_type in ModelType: + baseline_cost = baseline_subsystem_costs[model_type] + + # Skip subsystems with zero cost + if baseline_cost.m == 0: + continue + + row = [ + f"[{model_type.name.title()}] Total", + f"{baseline_cost.m:.{self.decimal_places}f}", + ] + + # Add experiment data for this subsystem + for _i, delta_sim in enumerate(self.delta_sims): + if delta_sim is not None: + delta_subsystem_costs = self.get_cost_by_subsystem(delta_sim) + delta_cost = delta_subsystem_costs[model_type] + difference = delta_cost - baseline_cost + percent_change = ( + (difference.m / baseline_cost.m * 100) + if baseline_cost.m != 0 + else 0 + ) + + row.extend( + [ + f"{delta_cost.m:.{self.decimal_places}f}", + f"{difference.m:+.{self.decimal_places}f}", + f"{percent_change:.1f}%", + ] + ) + + self.data.append(row) + + # Add individual device rows grouped by subsystem + for model_type in ModelType: + devices_in_subsystem = [] + for dname, device in self.base_sim.bom.devices.items(): + if device.model == model_type and dname in baseline_device_costs: + devices_in_subsystem.append(dname) + + # Sort devices within subsystem + for dname in sorted(devices_in_subsystem): + baseline_cost = baseline_device_costs[dname] + + # Skip devices with near-zero cost + if abs(baseline_cost.m) < 1e-5: + continue + + row = [ + f" {dname}", # Indent device names + f"{baseline_cost.m:.{self.decimal_places}f}", + ] + + # Add experiment data for this device + for _i, delta_sim in enumerate(self.delta_sims): + if delta_sim is not None: + delta_device_costs = self.get_cost_by_device(delta_sim) + delta_cost = delta_device_costs.get(dname, 0 * self.cost_unit) + difference = delta_cost - baseline_cost + percent_change = ( + (difference.m / baseline_cost.m * 100) + if baseline_cost.m != 0 + else 0 + ) + + row.extend( + [ + f"{delta_cost.m:.{self.decimal_places}f}", + f"{difference.m:+.{self.decimal_places}f}", + f"{percent_change:.1f}%", + ] + ) + + self.data.append(row) diff --git a/core/gui/plots/device_table.py b/core/gui/plots/device_table.py new file mode 100644 index 0000000..1170565 --- /dev/null +++ b/core/gui/plots/device_table.py @@ -0,0 +1,159 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import kg, kWh, MB, mm2, mW + + +class DeviceTable(BaseTable): + """ + A table that displays detailed device information for carbon analysis. + + This table presents comprehensive information about each device in the system, + including physical characteristics (area, weight), technical specifications + (process, layers), manufacturing details (fab yield, location), and carbon + footprint data. + + The table includes details such as: + - Device model type and number of ICs + - Manufacturing information (process, year built, fab yield, location) + - Physical attributes (area, size, weight) + - Technical specifications (type, layers) + - Carbon footprint and battery capacity data + + The table organizes devices alphabetically by name and formats + measurements with appropriate units. + """ + + def __init__( + self, + act, + *args, + weight_unit=kg, + area_unit=mm2, + size_unit=MB, + capacity_unit=kWh, + power_unit=mW, + **kwargs, + ): + """ + Initialize the Device Table with ACT analysis data and unit preferences for measurements. + + Args: + act: The ACT analysis object containing the bill of materials with + device information to be displayed in the table. + *args: Variable length argument list passed to BaseTable. + weight_unit (Unit, optional): The unit to use for displaying weight and + carbon values. Defaults to kilograms (kg). + area_unit (Unit, optional): The unit to use for displaying device area. + Defaults to square millimeters (mm²). + size_unit (Unit, optional): The unit to use for displaying memory size. + Defaults to megabytes (MB). + capacity_unit (Unit, optional): The unit to use for displaying battery + capacity. Defaults to kilowatt-hours (kWh). + **kwargs: Arbitrary keyword arguments passed to BaseTable. + + The constructor stores the ACT analysis object and unit preferences as instance + variables, initializes the base table structure by calling the parent class + constructor, and then populates the table with device data by calling plot(). + + The constructor initializes the table with the provided ACT analysis object + and unit preferences, then immediately calls plot() to populate the table data. + """ + self.act = act + self.weight_unit = weight_unit + self.area_unit = area_unit + self.size_unit = size_unit + self.capacity_unit = capacity_unit + self.power_unit = power_unit + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """ + Populate the table with device information data. + + This method: + 1. Sets up the table header with columns for device attributes + 2. Formats the unit labels for display in column headers + 3. Iterates through all devices in the bill of materials + 4. For each device, extracts and formats its attributes + 5. Adds each device's data as a row in the table + + The table includes columns for: + - Device name and model type + - Manufacturing details (process, year, yield, location) + - Physical characteristics (area, size, weight) + - Technical specifications (type, layers) + - Carbon footprint and battery capacity + - Number of integrated circuits + """ + fweight_unit = format(self.weight_unit.units, "~") + farea_unit = format(self.area_unit.units, "~") + fsize_unit = format(self.size_unit.units, "~") + fcap_unit = format(self.capacity_unit.units, "~") + fpower_unit = format(self.power_unit.units, "~") + + self.header = [ + "Device", + "Model Type", + "# ICs", + "Process", + "Year Built", + "Fab Yield", + "Fab Location", + f"Area
({farea_unit})", + f"Size
({fsize_unit})", + "Type", + f"Weight
({fweight_unit})", + f"Capacity
({fcap_unit})", + f"Manual Carbon
({fweight_unit})", + "Layers", + f"Power ({fpower_unit})", + "Op CI", + "Op Year", + "Lifetime", + "Duty Cycle", + ] + + for dname in sorted(self.act.bom.devices): + data = self.act.bom.devices[dname] + + table_entry = [ + dname, + data.model.name, + data.n_ics, + data.process.name, + data.built, + data.fab_yield, + data.fab_ci, + "%.2f" % data.area.to(self.area_unit).m + if data.area is not None + else "-", # area + "%.2f" % data.size.to(self.size_unit).m + if data.size is not None + else "-", # size + data.type if data.type is not None else "-", + "%.2f" % data.weight.to(self.weight_unit).m + if data.weight is not None + else "-", # weight + "%.2f" % data.capacity.to(self.capacity_unit).m + if data.capacity is not None + else "-", # battery capacity + "%.2f" % data.carbon.to(self.weight_unit).m + if data.carbon is not None + else "-", # manual weight + data.layers if data.layers is not None else "-", + "%.2f" % data.power.to(self.power_unit).m + if data.power is not None + else "-", + data.op_ci, + data.op_year if data.op_year is not None else "-", + str(data.life_cycle) if data.life_cycle is not None else "-", + data.duty_cycle if data.duty_cycle is not None else "-", + ] + assert len(table_entry) == len(self.header) + self.data.append(table_entry) diff --git a/core/gui/plots/model_configs_table.py b/core/gui/plots/model_configs_table.py new file mode 100644 index 0000000..02faad5 --- /dev/null +++ b/core/gui/plots/model_configs_table.py @@ -0,0 +1,80 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import os + +from act.core.gui.plots.base_table import BaseTable + + +class ModelConfigsTable(BaseTable): + """ + A table that displays the configuration files used in the carbon analysis. + + This table presents the file paths for all model configuration files used in the + ACT analysis, including AP model, DRAM model, storage models (HDD/SSD), logic models, + and PCB model. It provides transparency about which configuration files were used + to generate the carbon analysis results, which is important for reproducibility + and verification of the analysis. + + The table is formatted with two columns: "Model" (showing the model type) and + "Configuration File" (showing the filename of the configuration file used). + """ + + def __init__(self, act, *args, **kwargs): + """ + Initialize the Model Configs Table with ACT analysis data. + + Args: + act: The ACT analysis object containing references to all model configuration + files used in the carbon analysis. + *args: Variable length argument list passed to BaseTable. + **kwargs: Arbitrary keyword arguments passed to BaseTable. + + The constructor initializes the table with the provided ACT analysis object, + then immediately calls plot() to populate the table with model configuration data. + """ + self.act = act + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """ + Populate the table with model configuration file data. + + This method sets up the table header with "Model" and "Configuration File" columns, + and populates the data dictionary with entries for each model type used in the + carbon analysis. For each model, it extracts the basename of the configuration + file path to display a more concise representation. + + For models with multiple configuration files (like HDD and SSD models), the + filenames are joined with commas for display in a single table cell. + """ + self.header = ["Model", "Configuration File"] + + fx = os.path.basename + self.data_dict = { + "AP Model": fx(self.act.ap_model.model_file), + "DRAM Model": fx(self.act.dram_model.model_file), + "HDD Model": ", ".join([fx(x) for x in self.act.hdd_model.model_files]), + "SSD Model": ", ".join([fx(x) for x in self.act.ssd_model.model_files]), + "Logic EPA Model": fx(self.act.logic_model.epa_file), + "Logic Materials Model": fx(self.act.logic_model.materials_config), + "Logic GPA95 Model": fx(self.act.logic_model.gpa95_file), + "Logic GPA99 Model": fx(self.act.logic_model.gpa99_file), + "PCB Model": fx(self.act.pcb_model.model_file), + } + + def get_html(self): + """ + Generate the HTML representation of the model configurations table. + + Overrides the parent class method to apply left alignment to all columns + in the table for better readability of the configuration file paths. + + Returns: + str: HTML representation of the table with left-aligned columns. + """ + return super().get_html(align={k: "l" for k in self.header}) diff --git a/core/gui/plots/op_carbon_table.py b/core/gui/plots/op_carbon_table.py new file mode 100644 index 0000000..45bb5bf --- /dev/null +++ b/core/gui/plots/op_carbon_table.py @@ -0,0 +1,63 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import dollar, kg, kWh, mW + + +class OpCarbonTable(BaseTable): + def __init__( + self, act, *args, weight_unit=kg, power_unit=mW, cost_unit=dollar, **kwargs + ): + self.act = act + self.weight_unit = weight_unit + self.cost_unit = cost_unit + self.power_unit = power_unit + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + def uformat(quant, unit): + m = "%.2f" % quant.to(unit).m + u = format(unit.units, "~") + return f"{m} {u}" + + fcost_unit = format(self.cost_unit.units, "~") + fpower_unit = format(self.power_unit.units, "~") + self.header = [ + "Device", + f"Power
{fpower_unit}", + "Duty Cycle", + "Life Cycle", + "Op Location", + "Op CI", + "Op Year", + f"Total Opex Cost
({fcost_unit})", + f"Opex Cost
({fcost_unit})", + f"Opex Offset
({fcost_unit})", + "Cost / kWh", + ] + + cost_per_kwhr = self.act.cost_analyzer.cost_per_kwhr + + for dname in sorted(self.act.bom.devices): + dev = self.act.bom.devices[dname] + dev_cost = self.act.cost_analyzer.cost_by_device[dname] + data_line = [ + dname, + uformat(dev.power, self.power_unit), + dev.duty_cycle, + dev.life_cycle, + dev.op_ci, + uformat(self.act.ci_model.get_ci(dev.op_ci, dev.op_year), kg / kWh), + dev.op_year, + uformat(dev_cost.opex + dev_cost.opex_offset, self.cost_unit), + uformat(dev_cost.opex, self.cost_unit), + uformat(dev_cost.opex_offset, self.cost_unit), + uformat(cost_per_kwhr, dollar / kWh), + ] + assert len(data_line) == len(self.header) + self.data.append(data_line) diff --git a/core/gui/plots/scaling_plots.py b/core/gui/plots/scaling_plots.py new file mode 100644 index 0000000..bab65c3 --- /dev/null +++ b/core/gui/plots/scaling_plots.py @@ -0,0 +1,219 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from math import isclose + +import plotly.graph_objects as go +from act.core.carbon import EMBODIED_SOURCES, OPERATIONAL_SOURCES +from act.core.gui.plots.base_plot import BasePlot +from act.core.processes import LOGIC_DATA +from act.core.utils.units import g, kg + + +class ScalingBasePlot(BasePlot): + """Base class for scaling projection plots. + + This class provides common functionality for visualizing carbon emissions + projections over time, including trend lines and stacked bar charts showing + embodied vs operational carbon. + """ + + def __init__(self, runs, xtitle, base_act, *args, weight_unit=kg, **kwargs): + """Initialize the scaling base plot. + + Args: + runs (dict[int, ACTModel]): Dictionary mapping years/deltas to ACT model results. + xtitle (str): Label for the x-axis. + base_act (ACTModel): Baseline ACT model for comparison. + *args: Additional positional arguments passed to BasePlot. + weight_unit (pint.Quantity): Unit for weight display. Defaults to kg. + **kwargs: Additional keyword arguments passed to BasePlot. + """ + self.base_act = base_act + self.weight_unit = weight_unit + super().__init__(*args, **kwargs) + self.plot(runs=runs, xtitle=xtitle) + + def plot(self, runs: dict = None, xtitle="+Year"): + """Generate the scaling projection plot. + + Creates a visualization with a trend line and stacked bar chart showing + embodied and operational carbon components over time. + + Args: + runs (dict[int, ACTModel]): Dictionary mapping years/deltas to ACT model results. + xtitle (str): Label for the x-axis. + + Raises: + AssertionError: If runs is None. + """ + assert runs is not None, ( + "CI plot requires a dict of runs [str, ACTModel] to plot results from." + ) + years = runs.keys() + + # add the scatter trace trend line + x_data, y_data = [], [] + for year in sorted(years): + x_data.append(year) + y_data.append( + runs[year].results.total_carbon.total().to(self.weight_unit).m + ) + + trace = go.Scatter( + x=x_data, + y=y_data, + mode="lines+markers", + line={"width": 2}, + showlegend=False, + ) + self.fig.add_trace(trace) + + # add stacked bar chart of the embodied and operational components + embodied = [] + operational = [] + for year in sorted(years): + total_carbon = runs[year].results.total_carbon + embodied_total = 0 * g + for ctype in EMBODIED_SOURCES: + embodied_total += total_carbon.partial(ctype) + op_total = 0 * g + for ctype in OPERATIONAL_SOURCES: + op_total += total_carbon.partial(ctype) + assert isclose( + (embodied_total + op_total).to(g).m, total_carbon.total().to(g).m + ) + embodied.append(embodied_total.to(self.weight_unit).m) + operational.append(op_total.to(self.weight_unit).m) + + self.fig.add_trace(go.Bar(x=x_data, y=embodied, name="Embodied")) + self.fig.add_trace(go.Bar(x=x_data, y=operational, name="Operational")) + + # add horizontal baseline carbon line + mcarbon = self.base_act.results.total_carbon.total().to(self.weight_unit).m + funit = format(self.weight_unit.units, "~") + self.fig.add_hline( + y=mcarbon, + line_width=2, + line_dash="dash", + line_color="green", + annotation_text="Baseline
" + "%.2f " % mcarbon + funit, + annotation_position="top left", + annotation_font_color="green", + ) + + fweight_unit = format(self.weight_unit.units, "~") + self.fig.update_layout( + barmode="stack", + bargap=0.5, + xaxis_title=xtitle, + yaxis_title=f"Carbon ({fweight_unit})", + xaxis={"tickmode": "linear", "dtick": 1}, + ) + + +class CILatestPlot(ScalingBasePlot): + """Plot for carbon intensity projections with synchronized latest year.""" + + def __init__(self, dse_manager, *args, **kwargs): + """Initialize the CI latest plot. + + Args: + dse_manager (DSEManager): DSE manager containing projection results. + *args: Additional positional arguments passed to ScalingBasePlot. + **kwargs: Additional keyword arguments passed to ScalingBasePlot. + """ + self.dse_manager = dse_manager + super().__init__( + *args, + runs=dse_manager.ci_latest_runs, + base_act=self.dse_manager.base_act, + xtitle="Year", + **kwargs, + ) + + def plot(self, *args, **kwargs): + super().plot(*args, **kwargs) + + +class CIIncPlot(ScalingBasePlot): + """Plot for carbon intensity projections with incremental year offsets.""" + + def __init__(self, dse_manager, *args, **kwargs): + """Initialize the CI incremental plot. + + Args: + dse_manager (DSEManager): DSE manager containing projection results. + *args: Additional positional arguments passed to ScalingBasePlot. + **kwargs: Additional keyword arguments passed to ScalingBasePlot. + """ + self.dse_manager = dse_manager + super().__init__( + *args, + runs=dse_manager.ci_inc_runs, + base_act=dse_manager.base_act, + xtitle="+Δ Year", + **kwargs, + ) + + +class TSLatestPlot(ScalingBasePlot): + """Plot for technology scaling projections with synchronized latest year.""" + + def __init__(self, dse_manager, *args, **kwargs): + """Initialize the TS latest plot. + + Args: + dse_manager (DSEManager): DSE manager containing projection results. + *args: Additional positional arguments passed to ScalingBasePlot. + **kwargs: Additional keyword arguments passed to ScalingBasePlot. + """ + self.dse_manager = dse_manager + + super().__init__( + *args, + runs=dse_manager.ts_latest_runs, + base_act=dse_manager.base_act, + xtitle="Year", + **kwargs, + ) + + for year in dse_manager.ts_latest_runs: + processes = [] + for process, data in LOGIC_DATA.items(): + if data is not None and year == data.year: + processes.append(process.name) + if len(processes) > 0: + self.fig.add_vline( + x=year, + line_width=2, + line_dash="dash", + line_color="light grey", + annotation_text="
".join(processes), + annotation_position="top right", + annotation_font_color="light grey", + ) + + +class TSIncPlot(ScalingBasePlot): + """Plot for technology scaling projections with incremental year offsets.""" + + def __init__(self, dse_manager, *args, **kwargs): + """Initialize the TS incremental plot. + + Args: + dse_manager (DSEManager): DSE manager containing projection results. + *args: Additional positional arguments passed to ScalingBasePlot. + **kwargs: Additional keyword arguments passed to ScalingBasePlot. + """ + self.dse_manager = dse_manager + super().__init__( + *args, + runs=dse_manager.ts_inc_runs, + base_act=dse_manager.base_act, + xtitle="+Δ Year", + **kwargs, + ) diff --git a/core/gui/plots/scaling_table.py b/core/gui/plots/scaling_table.py new file mode 100644 index 0000000..ee9e226 --- /dev/null +++ b/core/gui/plots/scaling_table.py @@ -0,0 +1,100 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import g, kg, km, mi, Mton, ton, year + +# flying per kilogram is cited at 90 g / kilometer +FLYING_PER_KILOMETER = 90 * g / km + +# EPA driving emissions per mile and miles per year per person as of 2023- https://www.epa.gov/greenvehicles/greenhouse-gas-emissions-typical-passenger-vehicle +DRIVING_PER_MILE = 400 * g / mi +US_DRIVING_MILES_PER_YEAR = 11500 * mi / year + + +class ScalingTable(BaseTable): + """A table that displays carbon emissions scaling analysis. + + This table shows how carbon emissions scale with different numbers of users, + and provides comparisons with other emission sources like flying and driving. + """ + + def __init__(self, act): + """Initialize the Scaling Table. + + Args: + act (ACTModel): The ACT analysis object containing carbon results. + """ + self.carbon_results = act.results.carbon_by_device + self.life_cycle = act.life_cycle + super().__init__() + + # carbon per user + tunits = kg / year + funits = str(tunits.units) + fmillion_ton = "Million " + str((ton / year).units) + + # calculate the carbon per year for various numbers of users + device_carbon = sum(self.carbon_results.values()).total() + cpu = device_carbon / self.life_cycle + cp_thousand = 1000 * cpu + cp_million = 1000000 * cpu + cp_billion = 1000000000 * cpu + + # energy sector estimates and comparisons + # US energy-related emissions: https://www.eia.gov/environment/emissions/carbon/ + us_energy_2023 = 4807 * Mton / year + + # add estimated cost per aviation kilometer for context + # recent data of number of miles or km traveled by air per person varies due to impact of the pandemic and data availability but the order of magnitude is around 1000-2000 miles or 1500-4000 km + us_km_per_person = 2000 * km / year + us_flying_per_person = FLYING_PER_KILOMETER * us_km_per_person + us_flying_per_million = us_flying_per_person * 1000000 + + # calculate the average emissions from driving per person per year in the US + us_driving_per_person = DRIVING_PER_MILE * US_DRIVING_MILES_PER_YEAR + us_driving_per_million = us_driving_per_person * 1000000 + + self.data_dict = { + "Carbon Per Device (Operation + Embodied)": "%.2f" % device_carbon.to(kg).m + + " kg", + "Estimated Device Lifetime": str(self.life_cycle.to(year)), + "Device Carbon Per User / Year": "%.2f " % cpu.to(tunits).m + funits, + "Flying (US) - Carbon per Person / Year": "%.2f " + % (us_flying_per_person).to(tunits).m + + str(funits), + "Driving (US) - Carbon per Person / Year": "%.2f " + % (us_driving_per_person).to(tunits).m + + funits, + "Device Carbon Per 1000 Users / Year": "%.2f " + % cp_thousand.to(ton / year).m + + str((ton / year).units), + "Device Carbon Per Million Users / Year": "%.2f " + % cp_million.to(ton / year).m + + str((ton / year).units), + "Flying (US) - Carbon per Million People / Year": "%.2f " + % us_flying_per_million.to(ton / year).m + + str((ton / year).units), + "Driving (US) - Carbon per Million People / Year": "%.2f " + % us_driving_per_million.to(ton / year).m + + str((ton / year).units), + "Device Carbon Per Billion Users / Year": "%.2f " + % (cp_billion.to(ton / year).m / 1000000) + + fmillion_ton, + "US Energy Sector Emissions (2023)": "%.2f " + % (us_energy_2023.to(ton / year).m / 1000000) + + fmillion_ton, + } + + self.header = ["Analysis", "Value"] + + def get_html(self): + """Generate the HTML representation of the scaling table. + + Returns: + str: HTML representation of the table with left-aligned columns. + """ + return super().get_html(align={x: "l" for x in self.header}) diff --git a/core/gui/plots/sim_info_table.py b/core/gui/plots/sim_info_table.py new file mode 100644 index 0000000..ecbb479 --- /dev/null +++ b/core/gui/plots/sim_info_table.py @@ -0,0 +1,92 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import datetime +import os +import sys + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import kg + + +class SimInfoTable(BaseTable): + """ + A table that displays general information about the ACT analysis. + + This table presents key metadata about the analysis session, including: + - Report generation timestamp and user + - Version control information (commit hash and diff) + - Command line details used to run the analysis + - System summary information (device count, total carbon) + - Performance metrics (analysis execution time) + + The table provides context for the analysis results and helps with reproducibility + by capturing the environment and configuration used for the analysis run. + """ + + def __init__(self, act, weight_unit=kg, *args, show_relative_path=False, **kwargs): + """ + Initialize the Analysis Info Table with ACT analysis data. + + Args: + act: The ACT analysis object containing results data and timing information. + weight_unit (Unit, optional): The unit to use for displaying weight values. + Defaults to kilograms (kg). + *args: Variable length argument list passed to BaseTable. + show_relative_path (bool, optional): Whether to show only the basename of the + command line binary path instead of the full path. Defaults to False. + **kwargs: Arbitrary keyword arguments passed to BaseTable. + + The constructor initializes the table with the provided ACT analysis object and + configuration options, then immediately calls plot() to populate the table data. + """ + self.act = act + self.weight_unit = weight_unit + self.show_relative_path = show_relative_path + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + """ + Populate the table with analysis information data. + + This method sets up the table header and populates the data dictionary with + key information about the analysis, including: + - Report generation details (timestamp, user) + - Version control information (commit hash, diff) + - Command line information + - System metrics (device count, total carbon) + - Performance metrics (analysis time) + """ + self.header = ["Simulation Info", "Value"] + now = datetime.datetime.now() + elapsed_time = self.act.end_time - self.act.start_time + + self.data_dict = { + "Report Generated": now.strftime("%m/%d/%Y %H:%M:%S"), + "Generated By": os.environ.get("USER", ""), + "Command Line Binary": sys.argv[0] + if not self.show_relative_path + else os.path.basename(sys.argv[0]), + "Command Line Arguments": " ".join(sys.argv[1:]), + "Total System Devices": len(self.act.bom.devices), + "Total Carbon": "%.2f " + % self.act.results.total_carbon.total().to(self.weight_unit).m + + format(self.weight_unit.units, "~"), + "ACT Analysis Time": "%.4f" % elapsed_time.total_seconds() + " s", + } + + def get_html(self): + """ + Generate the HTML representation of the analysis info table. + + Overrides the parent class method to apply left alignment to all columns + in the table for better readability of the analysis information. + + Returns: + str: HTML representation of the table with left-aligned columns. + """ + return super().get_html(align={k: "l" for k in self.header}) diff --git a/core/gui/plots/source_plot.py b/core/gui/plots/source_plot.py new file mode 100644 index 0000000..ca78e08 --- /dev/null +++ b/core/gui/plots/source_plot.py @@ -0,0 +1,148 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import SourceType +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.gui.style import get_source_type_color, SOURCE_TYPE_COLOR_MAP +from act.core.utils.units import kg + + +class SourcePlot(BaseACTPlot): + """ + Plot the carbon emissions breakdown by source type in a sunburst chart. + + This visualization creates a sunburst chart that shows the distribution of carbon + emissions across different source types (e.g., Packaging, Materials, Operation, etc.) + in the system. The chart displays hierarchical data with the total emissions at the center, + source categories in the middle ring, and individual devices in the outer ring. + + Each segment's size represents the relative carbon contribution, making it easy to + identify which source types and specific components contribute most significantly + to the overall carbon footprint of the system. + + The color coding of different source types (e.g., blue for Packaging, orange for Materials) + makes it easy to visually distinguish between different categories and quickly identify + which source types are the major contributors to the system's carbon footprint. + """ + + def __init__(self, *args, **kwargs): + """ + Initialize the SourcePlot visualization. + + Args: + *args: Variable length argument list passed to BaseACTPlot. + Should include the ACT analysis object. + **kwargs: Arbitrary keyword arguments passed to BaseACTPlot. + May include configuration options for the plot. + + The constructor initializes the SourcePlot visualization with the provided ACT analysis + object and configuration options. It sets up the necessary data structures for the plot + by calling the parent class constructor with the provided arguments and keyword arguments, + and then immediately generates the plot visualization. + """ + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + """Return the label name for the top node in the chart""" + total_weight = self.get_total_carbon_weight() + label = "Total
" + self.weight_as_str(total_weight) + return label + + def get_category_carbon(self, stype: SourceType): + """Return the total carbon for this source type in units of weight""" + total_partials = 0 * kg + for _k, v in self.carbon_results.items(): + total_partials += v.partial(stype) + return total_partials + + def get_category_label(self, stype): + """Return the label for the category source type sector""" + cat_carbon = self.get_category_carbon(stype) + fcarbon = self.weight_as_str(cat_carbon) + fpercent = self.weight_as_percent(cat_carbon) + label = f"{stype.name}
{fcarbon}
{fpercent}" + return label + + def get_child_label(self, name, stype, fcarbon, fpercent): + """ + Return the formatted label for a device in the sunburst chart. + + Args: + name (str): The name of the device. + stype (SourceType): The source type of the device. + fcarbon (str): Formatted string representing the carbon emissions value. + fpercent (str): Formatted string representing the percentage of total emissions. + + Returns: + str: HTML-formatted label string with device name, carbon value, percentage, and source type. + """ + return f"{name}
{fcarbon}
{fpercent}
({stype.name.title()})" + + def make_sunburst_data(self): + """ + Generate data for the source type sunburst visualization. + + This method creates a hierarchical data structure for the sunburst chart with: + - The total emissions at the center + - Source type categories in the middle ring + - Individual devices in the outer ring + + It pre-computes category labels and then populates child sectors with device-specific + carbon emission data, formatting labels with appropriate carbon values and percentages. + Each segment is color-coded according to its source type using the COLOR_MAP. + + Returns: + tuple: A tuple containing: + - dict: Data dictionary with 'children', 'parents', and 'values' keys + for the sunburst chart hierarchy + - list: List of colors for the sunburst segments based on source types + """ + # Get the top node label for the center of the sunburst + top_node = self.get_top_node_label() + total_carbon = self.get_total_carbon_weight() + + category_labels = { + stype: self.get_category_label(stype) for stype in SourceType + } + + # construct the first level categorical hierarchy with zero weight + children = [""] + list(category_labels.values()) + colors = ["white"] + list(SOURCE_TYPE_COLOR_MAP.values()) + parents = [top_node] * len(children) + values = [0] * len(children) + + # generate the second level child nodes where power by category for each device is instantiated across the categories + for dname, carbon in self.carbon_results.items(): + for stype in SourceType: + partial = carbon.partial(stype) + sector_weight = partial.to(self.weight_unit).m + fcarbon = self.weight_as_str(partial) + fpercent = self.weight_as_percent(partial, total_carbon) + child_label = self.get_child_label(dname, stype, fcarbon, fpercent) + parent_label = category_labels[stype] + + parents.append(parent_label) + colors.append(get_source_type_color(stype)) + values.append(sector_weight) + children.append(child_label) + + data = {"children": children, "parents": parents, "values": values} + return data, colors + + def plot(self): + """ + Generate the source type sunburst plot. + + Creates a sunburst visualization showing the hierarchical breakdown of carbon + emissions by source type. The plot displays the total emissions at the center, + source type categories in the middle ring, and individual devices in the outer ring. + + The plot title includes the weight unit used for carbon measurements (e.g., kg CO2e), + and the visualization is configured with appropriate layout settings from the + parent class's plot method. + """ + super().plot(title=f"Carbon Emissions by Source Type ({self.fweight_unit})") diff --git a/core/gui/plots/subsystem_carbon_plot.py b/core/gui/plots/subsystem_carbon_plot.py new file mode 100644 index 0000000..8d95117 --- /dev/null +++ b/core/gui/plots/subsystem_carbon_plot.py @@ -0,0 +1,177 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.utils.units import kg + + +class SubsystemCarbonPlot(BaseACTPlot): + """ + Plot the carbon emissions breakdown by subsystem hierarchy in a sunburst chart. + + This visualization creates a sunburst chart that shows the distribution of carbon + emissions across different subsystems in the system hierarchy. The chart displays + hierarchical data with the total emissions at the center, subsystem categories in + the middle rings, and individual devices in the outer ring. + + Each segment's size represents the relative carbon contribution, making it easy to + identify which subsystems and specific components contribute most significantly + to the overall carbon footprint of the system. + + The hierarchical visualization allows users to understand how carbon emissions are + distributed across different levels of the system architecture. + """ + + def __init__(self, *args, **kwargs): + """ + Initialize the SubsystemPlot visualization. + + Args: + *args: Variable length argument list passed to BaseACTPlot. + Should include the ACT analysis object. + **kwargs: Arbitrary keyword arguments passed to BaseACTPlot. + May include configuration options for the plot. + + The constructor initializes the plot by calling the parent class constructor + and then immediately generates the plot visualization. + """ + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + """Return the label name for the top node in the chart""" + total_weight = self.get_total_carbon_weight() + label = "Total
" + self.weight_as_str(total_weight) + return label + + def get_subsystem_carbon(self, subsys_path): + """ + Calculate the total carbon emissions for a specific subsystem path. + + Args: + subsys_path (str): The subsystem path to calculate carbon emissions for. + + Returns: + Quantity: Total carbon emissions for the specified subsystem with appropriate units. + """ + total_partials = 0 * kg + for dname, carbon in self.carbon_results.items(): + if subsys_path in dname: + total_partials += carbon.total() + return total_partials + + def get_subsystem_label(self, subsys_path): + """ + Generate a formatted label for a subsystem in the sunburst chart. + + Creates a label that includes the subsystem path name, carbon emissions value, + and percentage of total emissions. + + Args: + subsys_path (str): The subsystem path to create a label for. + + Returns: + str: HTML-formatted label string with subsystem path, carbon value, and percentage. + """ + subsys_carbon = self.get_subsystem_carbon(subsys_path) + fcarbon = self.weight_as_str(subsys_carbon) + fpercent = self.weight_as_percent(subsys_carbon) + label = f"{subsys_path}
{fcarbon}
{fpercent}" + return label + + def get_child_label(self, name, fcarbon, fpercent): + """ + Return the formatted label for a device in the sunburst chart. + + Args: + name (str): The name of the device. + fcarbon (str): Formatted string representing the carbon emissions value. + fpercent (str): Formatted string representing the percentage of total emissions. + + Returns: + str: HTML-formatted label string with device name, carbon value, and percentage. + """ + return f"{name}
{fcarbon}
{fpercent}" + + def make_sunburst_data(self): + """ + Generate data for the subsystem hierarchy sunburst visualization. + + This method creates a hierarchical data structure for the sunburst chart that represents + the nested structure of subsystems in the system. It identifies all subsystem paths from + device names, creates appropriate labels, and calculates values for each segment. + """ + top_node = self.get_top_node_label() + total_weight = self.get_total_carbon_weight() + + children = [""] + parents = [top_node] + values = [0] + + # generate all of the subsystem paths + subsys_paths = set() + for dname in self.carbon_results: + path_tokens = dname.split(".") + + # glob all the subsys paths in the device path to handle edge case + for x in range(1, len(path_tokens)): + subsys_path = ".".join(path_tokens[:-x]) + subsys_paths.add(subsys_path) + ordered_paths = sorted(list(subsys_paths)) + subsys_labels = {path: self.get_subsystem_label(path) for path in ordered_paths} + + # for each path, set the parent to the proper subsystem path label + for path in ordered_paths: + child_label = subsys_labels[path] + path_tokens = path.split(".") + parent_path = ".".join(path_tokens[:-1]) + if ( + parent_path == "" + ): # if this is the top level, the parent is the top node + parent_label = top_node + else: + parent_label = subsys_labels[parent_path] + + children.append(child_label) + parents.append(parent_label) + values.append(0) + + # for each device add the child and sector weight + for dname, carbon in self.carbon_results.items(): + path_tokens = dname.split(".") + parent_path = ".".join(path_tokens[:-1]) + + if ( + parent_path == "" + ): # if this is the top level, the parent is the top node + parent_label = top_node + else: + parent_label = subsys_labels[parent_path] + + weight = carbon.total() + fweight = self.weight_as_str(weight) + fpercent = self.weight_as_percent(weight, total_weight) + child_label = self.get_child_label(dname, fweight, fpercent) + sector_weight = weight.to(self.weight_unit).m + children.append(child_label) + parents.append(parent_label) + values.append(sector_weight) + + data = {"children": children, "parents": parents, "values": values} + return data, None + + def plot(self): + """ + Generate the subsystem hierarchy sunburst plot. + + Creates a sunburst visualization showing the hierarchical breakdown of carbon + emissions by subsystem. The plot displays the total emissions at the center, + subsystem categories in the middle rings, and individual devices in the outer ring. + + The plot title includes the weight unit used for carbon measurements (e.g., kg CO2e), + and the visualization is configured with appropriate layout settings. + """ + super().plot(title=f"Carbon Emissions by Subsystem ({self.fweight_unit})") diff --git a/core/gui/plots/subsystem_cost_plot.py b/core/gui/plots/subsystem_cost_plot.py new file mode 100644 index 0000000..907890f --- /dev/null +++ b/core/gui/plots/subsystem_cost_plot.py @@ -0,0 +1,169 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_act_plot import BaseACTPlot +from act.core.utils.units import dollar + + +class SubsystemCostPlot(BaseACTPlot): + """ + Plot the cost emissions breakdown by subsystem hierarchy in a sunburst chart. + + This visualization creates a sunburst chart that shows the distribution of cost + emissions across different subsystems in the system hierarchy. The chart displays + hierarchical data with the total emissions at the center, subsystem categories in + the middle rings, and individual devices in the outer ring. + + Each segment's size represents the relative cost contribution, making it easy to + identify which subsystems and specific components contribute most significantly + to the overall cost footprint of the system. + + The hierarchical visualization allows users to understand how cost emissions are + distributed across different levels of the system architecture. + """ + + def __init__(self, *args, **kwargs): + """ + Initialize the SubsystemPlot visualization. + + Args: + *args: Variable length argument list passed to BaseACTPlot. + Should include the ACT analysis object. + **kwargs: Arbitrary keyword arguments passed to BaseACTPlot. + May include configuration options for the plot. + + The constructor initializes the plot by calling the parent class constructor + and then immediately generates the plot visualization. + """ + super().__init__(*args, **kwargs) + self.plot() + + def get_top_node_label(self): + """Return the label name for the top node in the chart""" + total_cost = self.get_total_cost() + label = "Total
" + self.cost_as_str(total_cost) + return label + + def get_subsystem_cost(self, subsys_path): + """ + Calculate the total cost emissions for a specific subsystem path. + + Args: + subsys_path (str): The subsystem path to calculate cost emissions for. + + Returns: + Quantity: Total cost emissions for the specified subsystem with appropriate units. + """ + total_partials = 0 * dollar + cost_by_device = self.act.cost_analyzer.cost_by_device + for dname, cost in cost_by_device.items(): + if subsys_path in dname: + total_partials += cost.total + return total_partials + + def get_subsystem_label(self, subsys_path): + """ + Generate a formatted label for a subsystem in the sunburst chart. + + Creates a label that includes the subsystem path name, cost emissions value, + and percentage of total emissions. + + Args: + subsys_path (str): The subsystem path to create a label for. + + Returns: + str: HTML-formatted label string with subsystem path, cost value, and percentage. + """ + subsys_cost = self.get_subsystem_cost(subsys_path) + fcost = self.cost_as_str(subsys_cost) + fpercent = self.cost_as_percent(subsys_cost) + label = f"{subsys_path}
{fcost}
{fpercent}" + return label + + def get_child_label(self, name, fcost, fpercent): + """ + Return the formatted label for a device in the sunburst chart. + + Args: + name (str): The name of the device. + fcost (str): Formatted string representing the cost emissions value. + fpercent (str): Formatted string representing the percentage of total emissions. + + Returns: + str: HTML-formatted label string with device name, cost value, and percentage. + """ + return f"{name}
{fcost}
{fpercent}" + + def make_sunburst_data(self): + """ + Generate data for the subsystem hierarchy sunburst visualization. + + This method creates a hierarchical data structure for the sunburst chart that represents + the nested structure of subsystems in the system. It identifies all subsystem paths from + device names, creates appropriate labels, and calculates values for each segment. + """ + top_node = self.get_top_node_label() + total_cost = self.get_total_cost() + + children = [""] + parents = [top_node] + values = [0] + + # generate all of the subsystem paths + subsys_paths = set() + cost_by_device = self.act.cost_analyzer.cost_by_device + for dname in cost_by_device: + path_tokens = dname.split(".") + + # glob all the subsys paths in the device path to handle edge case + for x in range(1, len(path_tokens)): + subsys_path = ".".join(path_tokens[:-x]) + subsys_paths.add(subsys_path) + ordered_paths = sorted(list(subsys_paths)) + subsys_labels = {path: self.get_subsystem_label(path) for path in ordered_paths} + + # for each path, set the parent to the proper subsystem path label + for path in ordered_paths: + child_label = subsys_labels[path] + path_tokens = path.split(".") + parent_path = ".".join(path_tokens[:-1]) + if ( + parent_path == "" + ): # if this is the top level, the parent is the top node + parent_label = top_node + else: + parent_label = subsys_labels[parent_path] + + children.append(child_label) + parents.append(parent_label) + values.append(0) + + # for each device add the child and sector cost + for dname, cost in cost_by_device.items(): + path_tokens = dname.split(".") + parent_path = ".".join(path_tokens[:-1]) + + if ( + parent_path == "" + ): # if this is the top level, the parent is the top node + parent_label = top_node + else: + parent_label = subsys_labels[parent_path] + + cost = cost.total + fcost = self.cost_as_str(cost) + fpercent = self.cost_as_percent(cost, total_cost) + child_label = self.get_child_label(dname, fcost, fpercent) + sector_cost = cost.to(self.cost_unit).m + children.append(child_label) + parents.append(parent_label) + values.append(sector_cost) + + data = {"children": children, "parents": parents, "values": values} + return data, None + + def plot(self): + super().plot(title=f"Cost ($) by Subsystem ({self.fcost_unit})") diff --git a/core/gui/plots/supply_chain_table.py b/core/gui/plots/supply_chain_table.py new file mode 100644 index 0000000..7b82ff0 --- /dev/null +++ b/core/gui/plots/supply_chain_table.py @@ -0,0 +1,56 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.plots.base_table import BaseTable +from act.core.utils.units import g, kg, kWh + + +class SupplyChainTable(BaseTable): + def __init__(self, act, *args, weight_unit=kg, **kwargs): + self.act = act + self.weight_unit = weight_unit + super().__init__(*args, **kwargs) + self.plot() + + def plot(self): + self.header = [ + "Device", + "Carbon (" + format(self.weight_unit.units, "~") + ")", + "Year Built", + "Manufacturing
Location", + "Manufacturing
Carbon Intensity", + "Yield", + "Operating Year", + "Operating Location", + "Operating
Carbon Intensity", + ] + + for dname in sorted(self.act.bom.devices): + data = self.act.bom.devices[dname] + fcarbon = "%.2f" % self.act.results.carbon_by_device[dname].total().to(kg).m + fab_ci = self.act.ci_model.get_ci( + loc_or_src=data.fab_ci, year=data.built + ).to(g / kWh) + ffab_ci = "%.2f " % fab_ci.m + format(fab_ci.units, "~") + + op_ci = self.act.ci_model.get_ci( + loc_or_src=data.op_ci, year=data.op_year + ).to(g / kWh) + fop_ci = "%.2f" % op_ci.m + format(op_ci.units, "~") + + self.data.append( + [ + dname, + fcarbon, + data.built, + data.fab_ci, + ffab_ci, + data.fab_yield, + data.op_year, + data.op_ci, + fop_ci, + ] + ) diff --git a/core/gui/style.py b/core/gui/style.py new file mode 100644 index 0000000..435000a --- /dev/null +++ b/core/gui/style.py @@ -0,0 +1,155 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +""" +Centralized styling configuration for ACT GUI components. + +This module provides consistent styling definitions including color mappings, +layout settings, and other visual styling constants used across the ACT +delta tool and other GUI components. +""" + +from enum import Enum + +from act.core.carbon import SourceType +from act.core.common import ModelType + + +# Color mappings for ACT visualization components +# These provide consistent color schemes across different plot types + +# Color mapping for ModelType categories (used in barcharts) +MODEL_TYPE_COLOR_MAP = { + ModelType.LOGIC: "blue", + ModelType.AP: "orange", + ModelType.DRAM: "green", + ModelType.FLASH: "red", + ModelType.HDD: "purple", + ModelType.MANUAL: "brown", + ModelType.MATERIALS: "pink", + ModelType.CAPACITOR: "gray", + ModelType.RESISTOR: "olive", + ModelType.DIODE: "cyan", + ModelType.PCB: "lime", + ModelType.BATTERY: "indigo", + ModelType.SIGNAL_BEAD: "teal", + ModelType.POWER: "navy", + ModelType.OTHER: "maroon", +} + +# Color mapping for SourceType categories (used in sunburst charts) +SOURCE_TYPE_COLOR_MAP = { + SourceType.PACKAGING: "blue", + SourceType.MATERIALS: "orange", + SourceType.OPERATION: "yellow", + SourceType.FABRICATION: "purple", + SourceType.PASSIVES: "green", + SourceType.PCB: "aqua", + SourceType.MOSFET: "red", + SourceType.CONNECTOR: "pink", + SourceType.OTHER: "white", +} + + +class DefaultPlotSettings(Enum): + """Default config settings for plotly figures. + + This enum provides standardized configuration values for plotly visualizations + used throughout the ACT dashboard. It ensures consistent styling, sizing, and + positioning of plot elements across different visualization types. + """ + + MARGIN = {"l": 5, "r": 5, "t": 15, "b": 15} + MARGIN_WITH_SUBTITLE = {"l": 5, "r": 5, "t": 80, "b": 15} + FONT = {"size": 13} + TABLE_HEIGHT = 800 + PLOT_HEIGHT = 800 + TITLE_X = 0.5 + TITLE_Y = 0.975 + + @staticmethod + def get_default(): + """ + Return a dictionary of default plot configuration settings. + + Returns: + dict: A dictionary containing default configuration settings for plotly + figures, including autosize, legend visibility, title positioning, + height, font, and margin settings. + """ + return { + "autosize": True, + "showlegend": True, + "title_x": DefaultPlotSettings.TITLE_X.value, + "title_y": DefaultPlotSettings.TITLE_Y.value, + "height": DefaultPlotSettings.PLOT_HEIGHT.value, + "font": DefaultPlotSettings.FONT.value, + "margin": DefaultPlotSettings.MARGIN.value, + } + + +# Layout constants for delta dashboard cards +class DeltaCardLayout: + """Layout constants for delta dashboard cards.""" + + # Column classes for responsive layout based on number of simulations + COLUMN_CLASSES = { + 2: "col-md-6", + 3: "col-md-4", + 4: "col-md-3", + "default": "col-md-6", + } + + # Bar chart layout settings + BAR_CHART_MARGIN = {"l": 200, "r": 50, "t": 80, "b": 50} + BAR_CHART_MIN_HEIGHT = 400 + BAR_CHART_HEIGHT_PER_CATEGORY = 80 + + # Horizontal divider styling + HORIZONTAL_DIVIDER = '
' + + +# Helper functions for color mapping +def get_model_type_color(model_type: ModelType) -> str: + """ + Get color for a ModelType. + + Args: + model_type: The ModelType enum value + use_alt_colors: Whether to use alternative color scheme + + Returns: + str: Color name for the model type + """ + return MODEL_TYPE_COLOR_MAP.get(model_type, "gray") + + +def get_source_type_color(source_type: SourceType) -> str: + """ + Get color for a SourceType. + + Args: + source_type: The SourceType enum value + + Returns: + str: Color name for the source type + """ + return SOURCE_TYPE_COLOR_MAP.get(source_type, "gray") + + +def get_column_class(num_simulations: int) -> str: + """ + Get responsive column class based on number of simulations. + + Args: + num_simulations: Number of simulations to display + + Returns: + str: Bootstrap column class + """ + return DeltaCardLayout.COLUMN_CLASSES.get( + num_simulations, DeltaCardLayout.COLUMN_CLASSES["default"] + ) diff --git a/core/gui/tabs.py b/core/gui/tabs.py new file mode 100644 index 0000000..b71271a --- /dev/null +++ b/core/gui/tabs.py @@ -0,0 +1,133 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.gui.card import Card +from jinja2 import Template + + +class Tabs: + """ + This class abstracts a Bootstrap Tab object for organizing dashboard content. + + The Tabs class provides a way to organize multiple Card objects into a tabbed + interface using Bootstrap's tab component. It handles the generation of the + necessary HTML structure for tabs and their content areas. + + Tabs can be constructed with a unique ID, title, and a list of Card objects as content. + The class renders the tabs and their content into HTML that can be included in the + dashboard. It manages the active/inactive state of tabs and ensures proper linking + between tab buttons and their corresponding content panes. + """ + + t_tab_template = Template( + """ + + """, + autoescape=True, + ) + + t_tab_content_template = Template( + """ +
+ + + {{ content | safe }} +
+ """, + autoescape=True, + ) + + t_top_template = Template( + """ + + + + +
+ {{ content | safe }} +
+ """, + autoescape=True, + ) + + def __init__(self, id, title, content) -> None: + """ + Initialize a Tabs object with an ID, title, and content. + + Args: + id (str): Unique identifier for the tabs component. + title (str): Title to display for the tabs component. + content (list): List of Card objects to display as tab content. + Each Card in the list will become a separate tab. + + Raises: + AssertionError: If content is not a list or if any item in the list + is not a Card object. + """ + self.id = id + self.title = title + + assert isinstance(content, list), "Content must be a list" + assert all([isinstance(card, Card) for card in content]), ( + "Every entry must be a card" + ) + + self.content = content + + def to_html(self, initial_tab=None) -> str: + """ + Serialize the tabs component into HTML using the built-in templates. + + This method generates the complete HTML structure for the tabbed interface, + including the tab navigation buttons and content areas. It handles setting + the active tab based on the initial_tab parameter or defaults to the first tab. + + Args: + initial_tab (Enum, optional): Enum value specifying which tab should be + initially active when the dashboard loads. The enum value should match + one of the Card IDs in the content list. If None, the first tab will + be active by default. + + Returns: + str: Complete HTML representation of the tabbed interface, wrapped in a Card. + """ + + tabs = [] + content = [] + + for idx, card in enumerate(self.content): + tabs_d = { + "tab_name": card.title, + "href": card.id, + "class": "", + } + content_d = { + "tab_name": card.title, + "content": card.html_content, + "id": card.id, + "class": "", + } + + set_tab_to_active = ( + initial_tab is not None and card.id == initial_tab.value + ) or (initial_tab is None and idx == 0) + if set_tab_to_active: + tabs_d["class"] = "active" + content_d["class"] = "show active" + + tabs.append(self.t_tab_template.render(tabs_d)) + content.append(self.t_tab_content_template.render(content_d)) + + html = self.t_top_template.render( + {"tabs": "".join(tabs), "content": "".join(content)} + ) + card = Card(self.id, self.title, html) + + return card.to_html() diff --git a/core/metrics/__init__.py b/core/metrics/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/metrics/base_metric.py b/core/metrics/base_metric.py new file mode 100644 index 0000000..525bc7e --- /dev/null +++ b/core/metrics/base_metric.py @@ -0,0 +1,43 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from abc import abstractmethod + + +class BaseMetric: + """Base class for carbon optimization metrics. + + This class provides a foundation for implementing various optimization + metrics that can be calculated from ACT analysis results. + + Attributes: + NAME (str): The name of the metric. + act_model (ACTModel): The ACT model containing analysis results. + """ + + NAME = "Base Metric" + + def __init__(self, act_model): + """Initialize the base metric. + + Args: + act_model (ACTModel): An ACTModel with carbon analysis results calculated. + """ + self.act_model = act_model + + @abstractmethod + def calculate(self): + """Calculate the metric based on the provided ACT model. + + Returns: + pint.Quantity: The calculated value for this optimization metric. + + Raises: + NotImplementedError: If the subclass does not implement this method. + """ + raise NotImplementedError( + "Metric calculation not implemented. Subclasses must implement metric calculation based on act model results." + ) diff --git a/core/metrics/carbon_delay_product.py b/core/metrics/carbon_delay_product.py new file mode 100644 index 0000000..2502cae --- /dev/null +++ b/core/metrics/carbon_delay_product.py @@ -0,0 +1,33 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.base_metric import BaseMetric +from act.core.utils.units import kg, s + + +class CarbonDelayProduct(BaseMetric): + """Carbon delay product optimization metric. + + This metric calculates the product of carbon emissions and device lifetime, + useful for optimizing the trade-off between carbon footprint and longevity. + """ + + NAME = "Carbon Delay Product" + + def calculate(self): + """Calculate the carbon delay product. + + Returns: + pint.Quantity: The product of carbon emissions and device lifetime (kg*s). + """ + delay = self.act_model.life_cycle + carbon = self.act_model.results.total_carbon.total() + value = delay * carbon + + # dimensional analysis check + assert value.check(kg * s) + + return value diff --git a/core/metrics/carbon_energy_product.py b/core/metrics/carbon_energy_product.py new file mode 100644 index 0000000..1c8f830 --- /dev/null +++ b/core/metrics/carbon_energy_product.py @@ -0,0 +1,37 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.base_metric import BaseMetric +from act.core.utils.units import J, kg + + +class CarbonEnergyProduct(BaseMetric): + """Carbon energy product optimization metric. + + This metric calculates the product of carbon emissions and energy consumption, + useful for optimizing the trade-off between carbon footprint and energy usage. + """ + + NAME = "Carbon Energy Product" + + def calculate(self): + """Calculate the carbon energy product. + + Returns: + pint.Quantity: The product of carbon emissions and energy consumption (kg*J). + """ + energy = ( + self.act_model.op_power + * self.act_model.life_cycle + * self.act_model.duty_cycle + ) + carbon = self.act_model.results.total_carbon.total() + value = carbon * energy + + # dimensional analysis check + assert value.check(kg * J) + + return value diff --git a/core/metrics/carbon_energy_squared_product.py b/core/metrics/carbon_energy_squared_product.py new file mode 100644 index 0000000..9cd919b --- /dev/null +++ b/core/metrics/carbon_energy_squared_product.py @@ -0,0 +1,37 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.base_metric import BaseMetric +from act.core.utils.units import J, kg + + +class CarbonEnergySquaredProduct(BaseMetric): + """Carbon energy squared product optimization metric. + + This metric calculates the product of carbon emissions and energy squared, + useful for optimizing scenarios where energy efficiency is heavily weighted. + """ + + NAME = "Carbon Energy Squared Product" + + def calculate(self): + """Calculate the carbon energy squared product. + + Returns: + pint.Quantity: The product of carbon emissions and energy squared (kg*J^2). + """ + energy = ( + self.act_model.op_power + * self.act_model.life_cycle + * self.act_model.duty_cycle + ) + carbon = self.act_model.results.total_carbon.total() + value = carbon * energy * energy + + # dimensional analysis check + assert value.check(kg * J * J) + + return value diff --git a/core/metrics/carbon_squared_energy_product.py b/core/metrics/carbon_squared_energy_product.py new file mode 100644 index 0000000..9db87c7 --- /dev/null +++ b/core/metrics/carbon_squared_energy_product.py @@ -0,0 +1,37 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.base_metric import BaseMetric +from act.core.utils.units import J, kg + + +class CarbonSquaredEnergyProduct(BaseMetric): + """Carbon squared energy product optimization metric. + + This metric calculates the product of carbon squared and energy consumption, + useful for optimizing scenarios where carbon reduction is heavily weighted. + """ + + NAME = "Carbon Squared Energy Product" + + def calculate(self): + """Calculate the carbon squared energy product. + + Returns: + pint.Quantity: The product of carbon squared and energy (kg^2*J). + """ + energy = ( + self.act_model.op_power + * self.act_model.life_cycle + * self.act_model.duty_cycle + ) + carbon = self.act_model.results.total_carbon.total() + value = carbon * carbon * energy + + # dimensional analysis check + assert value.check(kg * kg * J) + + return value diff --git a/core/metrics/cost_analyzer.py b/core/metrics/cost_analyzer.py new file mode 100644 index 0000000..63cf64d --- /dev/null +++ b/core/metrics/cost_analyzer.py @@ -0,0 +1,166 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import dataclass + +import pint +from act.core.common import DEFAULT_CARBON_OFFSET_COST, DEFAULT_ELECTRICITY_COST +from act.core.utils.units import dollar, kg, kWh, mW, ton, year + +# base on 2025 data from https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=table_5_03 +DEFAULT_COST_PER_KWHR = 0.0856 * dollar / kWh + +# based on the 2024 number from https://carboncredits.com/carbon-credits-in-2024-what-to-expect-in-2025-and-beyond-250b-by-2050/ +DEFAULT_OFFSET_COST = 4.8 * dollar / ton + + +@dataclass +class CostResult: + """Data class for storing cost analysis results for a device. + + Attributes: + dname (str): Device name. + opex (pint.Quantity): Operational cost (electricity). + opex_offset (pint.Quantity): Carbon offset cost for operational emissions. + capex (pint.Quantity): Capital/manufacturing cost. + capex_offset (pint.Quantity): Carbon offset cost for embodied emissions. + """ + + dname: str + opex: pint.Quantity + opex_offset: pint.Quantity + capex: pint.Quantity # i.e., manufacturing cost + capex_offset: pint.Quantity + + def __post_init__(self): + self.total = self.opex + self.opex_offset + self.capex + self.capex_offset + + +class CostAnalyzer: + """Analyzer for calculating device and system costs. + + This class calculates operational costs (opex), capital costs (capex), + and carbon offset costs for each device in the system. + + Attributes: + act (ACTModel): The ACT model containing analysis results. + cost_unit (pint.Quantity): Unit for cost display. + cost_by_device (dict): Dictionary mapping device names to CostResult objects. + cost_per_kwhr (pint.Quantity): Electricity cost per kilowatt-hour. + offset_cost (pint.Quantity): Carbon offset cost per ton. + """ + + def __init__(self, act, cost_unit=dollar): + """Initialize the Cost Analyzer. + + Args: + act (ACTModel): The ACT model containing analysis results. + cost_unit (pint.Quantity): Unit for cost display. Defaults to dollar. + """ + self.act = act + self.cost_unit = cost_unit + self.cost_by_device = dict() + + self.cost_per_kwhr = self._resolve_cost_per_kwhr() + self.offset_cost = self._resolve_offset_cost() + + self.analyze() + + def _resolve_cost_per_kwhr(self): + """Resolve the electricity cost per kilowatt-hour. + + Returns: + pint.Quantity: Electricity cost from BOM parameters or default. + """ + parameters = self.act.bom.parameters + if parameters and DEFAULT_ELECTRICITY_COST in parameters: + from act.core.utils.units import units + + return units(parameters[DEFAULT_ELECTRICITY_COST]) + return DEFAULT_COST_PER_KWHR + + def _resolve_offset_cost(self): + """Resolve the carbon offset cost per ton. + + Returns: + pint.Quantity: Offset cost from BOM parameters or default. + """ + parameters = self.act.bom.parameters + if parameters and DEFAULT_CARBON_OFFSET_COST in parameters: + from act.core.utils.units import units + + return units(parameters[DEFAULT_CARBON_OFFSET_COST]) + return DEFAULT_OFFSET_COST + + def get_results(self): + """Get the cost analysis results by device. + + Returns: + dict[str, CostResult]: Dictionary mapping device names to cost results. + """ + return self.cost_by_device + + def analyze(self): + """Perform cost analysis for all devices in the BOM.""" + for dname, dev in self.act.bom.devices.items(): + carbon = self.act.results.carbon_by_device[dname] + opex = self.get_opex(dev.power, dev.life_cycle, dev.duty_cycle) + opex_offset = self.get_offset_cost(carbon.op()) + capex_offset = self.get_offset_cost(carbon.embodied()) + + self.cost_by_device[dname] = CostResult( + dname=dname, + opex=opex.to(self.cost_unit), + opex_offset=opex_offset.to(self.cost_unit), + capex=dev.cost.to(self.cost_unit), + capex_offset=capex_offset.to(self.cost_unit), + ) + + def get_opex( + self, power: pint.Quantity, life_cycle: pint.Quantity, duty_cycle: float + ): + """Calculate operational cost for a device. + + Args: + power (pint.Quantity): Device power consumption. + life_cycle (pint.Quantity): Device lifetime. + duty_cycle (float): Device utilization rate. + + Returns: + pint.Quantity: Operational cost. + """ + assert power.check(mW) + assert life_cycle.check(year) + return power * life_cycle * duty_cycle * self.cost_per_kwhr + + def get_total_build_cost(self): + """Get the total build/manufacturing cost for all devices. + + Returns: + pint.Quantity: Total build cost. + """ + bom = self.act_model.bom + return sum([dev.cost for dev in bom.devices.values()]) + + def get_total_cost(self): + """Get the total cost across all devices. + + Returns: + pint.Quantity: Total cost including opex, capex, and offsets. + """ + return sum([x.total for x in self.cost_by_device.values()]) + + def get_offset_cost(self, amt: pint.Quantity): + """Calculate carbon offset cost for a given carbon amount. + + Args: + amt (pint.Quantity): Carbon amount in weight units. + + Returns: + pint.Quantity: Carbon offset cost. + """ + assert amt.check(kg) + return amt * self.offset_cost diff --git a/core/metrics/metric_analyzer.py b/core/metrics/metric_analyzer.py new file mode 100644 index 0000000..ed9e6e7 --- /dev/null +++ b/core/metrics/metric_analyzer.py @@ -0,0 +1,44 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core import metrics +from act.core.metrics.base_metric import BaseMetric +from act.core.utils.import_utils import all_subclasses, import_submodules + + +class MetricAnalyzer: + """Analyzer for calculating all registered optimization metrics. + + This class auto-discovers all BaseMetric subclasses and calculates + their values for a given ACT model. + + Attributes: + metrics (list): List of discovered metric classes. + act_model (ACTModel): The ACT model to analyze. + """ + + def __init__(self, act_model): + """Initialize the Metric Analyzer. + + Args: + act_model (ACTModel): The ACT model containing analysis results. + """ + import_submodules(metrics) + self.metrics = all_subclasses(BaseMetric) + self.act_model = act_model + + def get_results(self): + """Calculate all metrics and return the results. + + Returns: + dict[str, pint.Quantity]: Dictionary mapping metric names to calculated values. + """ + + metric_results = dict() + for Metric in self.metrics: + m = Metric(act_model=self.act_model) + metric_results[m.NAME] = m.calculate() + return metric_results diff --git a/core/models/__init__.py b/core/models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/models/ap_model.py b/core/models/ap_model.py new file mode 100644 index 0000000..3eda7ed --- /dev/null +++ b/core/models/ap_model.py @@ -0,0 +1,71 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import pint +from act.core.carbon import Carbon, SourceType +from act.core.common import ACT_ROOT, CARBON_PER_IC_PACKAGE +from act.core.processes import LogicProcess +from act.core.utils.units import units + +DEFAULT_AP_CONFIG = f"{ACT_ROOT}/models/logic/ap_model.yaml" +from act.core.device_data import AREA, FAB_YIELD, N_ICS, PROCESS +from act.core.models.base_model import BaseModel +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros + + +class APModel(BaseModel): + """ + A model for estimating carbon emissions from application processors (APs). + Attributes: + model (dict): A dictionary mapping LogicProcess to carbon per area cost. + """ + + MODEL_NAME = "ap" + REQUIRED_FIELDS = [AREA, PROCESS, FAB_YIELD, N_ICS] + + def __init__(self, model_file: str = DEFAULT_AP_CONFIG) -> None: + """ + Initializes a new instance of the APModel class. + Loads the AP model from a YAML file. + Args: + model_file (str, optional): The path to the AP model file. Defaults to DEFAULT_AP_CONFIG. + """ + self.model_file = model_file + data = load_yaml_with_macros(model_file, delete_macros=True) + self.model: dict[LogicProcess, pint.Quantity] = { + LogicProcess(k): units(v) for k, v in data.items() + } + super().__init__() + + def get_carbon(self, device_data) -> Carbon: + """ + Get the estimated carbon emissions from an AP based on its area, process, fabrication yield, and number of ICs. + Args: + area (pint.Quantity): The area of the AP. + process (LogicProcess): The logic process used to manufacture the AP. + fab_yield (float): The fabrication yield. + n_ics (int, optional): The number of ICs. Defaults to 0. + Returns: + Carbon: The total carbon emissions from the AP fabrication and packaging. + Raises: + AssertionError: If the fabrication yield is not greater than 0 and less than or equal to 1.0. + """ + self.validate_data(device_data) + + area = device_data.area + process = device_data.process + fab_yield = device_data.fab_yield + n_ics = device_data.n_ics + + assert 0.0 < fab_yield <= 1.0, ( + f"Fab yield must be greater than 0 and <= 1.0. Got {fab_yield}" + ) + cpa = self.model[process] + fab_amt = (cpa * area) / fab_yield + pkg_amt = n_ics * CARBON_PER_IC_PACKAGE / fab_yield + return Carbon(fab_amt, SourceType.FABRICATION) + Carbon( + pkg_amt, SourceType.PACKAGING + ) diff --git a/core/models/base_logic_model.py b/core/models/base_logic_model.py new file mode 100644 index 0000000..fd732c1 --- /dev/null +++ b/core/models/base_logic_model.py @@ -0,0 +1,115 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Base class for logic carbon models. + +Provides the shared get_carbon flow (process resolution, area * CPA + +packaging) and closest-process fallback logic. Subclasses implement +get_cpa() and is_process_supported() for their specific modeling approach. +""" + +from abc import abstractmethod + +import pint +from act.core.carbon import Carbon, SourceType +from act.core.common import CARBON_PER_IC_PACKAGE, DEFAULT_FAB_YIELD +from act.core.models.base_model import BaseModel +from act.core.processes import LOGIC_DATA, LogicProcess +from act.core.utils.logger import log +from act.core.utils.units import g, mm2 + + +class BaseLogicModel(BaseModel): + """Abstract base class for logic carbon models. + + Subclasses must implement: + - get_cpa(): return carbon per area for a process and yield + - is_process_supported(): check if a process is in the model + - supported_processes(): return the set of supported processes + """ + + MODEL_NAME = "logic" + + @abstractmethod + def get_cpa( + self, process: LogicProcess, fab_yield: float = DEFAULT_FAB_YIELD, **kwargs + ) -> pint.Quantity: + """Return the carbon per area for a given process and yield.""" + raise NotImplementedError + + @abstractmethod + def is_process_supported(self, process: LogicProcess) -> bool: + """Return True if the process is supported by this model.""" + raise NotImplementedError + + @abstractmethod + def supported_processes(self) -> set: + """Return the set of supported LogicProcess values.""" + raise NotImplementedError + + def get_carbon(self, device_data) -> Carbon: + """Get total carbon emissions for a logic device. + + Resolves the process (falling back to the closest supported + process if needed), computes CPA, and returns fabrication + + packaging carbon. + """ + self.validate_data(device_data) + + if self.is_process_supported(device_data.process): + process = device_data.process + elif device_data.process is LogicProcess.NA: + log.error( + f"Device '{device_data.name}': Process node is not available or unsupported " + f"by {self.__class__.__name__}. Returning zero carbon for this device." + ) + return Carbon(0 * g, SourceType.OTHER) + else: + process = self.get_closest_supported_process(device_data.process) + + area = device_data.area + assert area.check(mm2) + + cpa = self.get_cpa( + process=process, + fab_yield=device_data.fab_yield, + device_data=device_data, + ) + carbon = Carbon(area * cpa, SourceType.FABRICATION) + Carbon( + device_data.n_ics * CARBON_PER_IC_PACKAGE, SourceType.PACKAGING + ) + return carbon + + def get_closest_supported_process(self, process: LogicProcess) -> LogicProcess: + """Find the closest supported process to the given one by year. + + Args: + process: The target process. + + Returns: + The closest supported process whose year <= target year. + """ + process_year = LOGIC_DATA[process].year + closest_delta = float("inf") + closest_process = None + + for p in self.supported_processes(): + p_year = LOGIC_DATA[p].year + if p_year is None or process_year is None: + continue + if p_year <= process_year: + delta = abs(p_year - process_year) + if closest_process is None or delta < closest_delta: + closest_process, closest_delta = p, delta + + # If no year-based match, fall back to any supported process + if closest_process is None: + supported = list(self.supported_processes()) + if supported: + closest_process = supported[0] + + assert closest_process is not None + return closest_process diff --git a/core/models/base_model.py b/core/models/base_model.py new file mode 100644 index 0000000..8512051 --- /dev/null +++ b/core/models/base_model.py @@ -0,0 +1,77 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from abc import abstractmethod + +from act.core.utils.logger import log + + +class BaseModel: + """Base class for carbon emission models. + + This class provides a foundation for implementing device-specific + carbon emission models. Subclasses must implement the get_carbon method. + + Attributes: + BASE_MODEL_NAME (str): Default model name for the base class. + MODEL_NAME (str): Name of the model (must be overridden in subclasses). + REQUIRED_FIELDS (list): List of required device data fields. + """ + + BASE_MODEL_NAME = "base" + MODEL_NAME = BASE_MODEL_NAME + REQUIRED_FIELDS = [] + + def __init__(self): + """Initialize the base model. + + Raises: + ValueError: If MODEL_NAME is not overridden in the subclass. + """ + if self.MODEL_NAME == self.BASE_MODEL_NAME: + raise ValueError( + "Model MODEL_NAME must be set to distinguish it from other models." + ) + + @abstractmethod + def get_carbon(self, device_data): + """Calculate carbon emissions for a device. + + Args: + device_data (DeviceData): Device specification data. + + Returns: + Carbon: The calculated carbon emissions. + + Raises: + NotImplementedError: If not implemented by subclass. + """ + raise NotImplementedError( + "Model get_carbon() method was not implemented. This must be implemented in subclasses of BaseModel." + ) + + def validate_data(self, device_data): + """Validate that required fields are present in device data. + + Args: + device_data (DeviceData): Device specification data to validate. + + Raises: + SystemExit: If required fields are missing. + """ + errors = 0 + for field in self.REQUIRED_FIELDS: + field_val = getattr(device_data, field) + if field_val is None: + log.error( + f"For device {device_data.name}, model {self.__class__.__name__} get_carbon() requires a field {field} but got {field_val}. Cannot calculate carbon emissions. Please fix before continuing analysis." + ) + errors += 1 + if errors > 0: + log.critical( + "Carbon modeling analysis encountered errors when analyzing bill of materials. Please fix the above issues. Aborting..." + ) + exit(-1) diff --git a/core/models/battery_model.py b/core/models/battery_model.py new file mode 100644 index 0000000..0053f6a --- /dev/null +++ b/core/models/battery_model.py @@ -0,0 +1,78 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import Carbon, SourceType +from act.core.common import ACT_ROOT +from act.core.device_data import CAPACITY +from act.core.models.base_model import BaseModel +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import kg, kWh, units + +DEFAULT_BATTERY_CONFIG = f"{ACT_ROOT}/models/battery/battery.yaml" + +# default battery type if none is specified +DEFAULT_BATTERY_TYPE = "NMC" + + +class BatteryModel(BaseModel): + """Model for estimating carbon emissions from batteries. + + This model calculates embodied carbon based on battery capacity + and cathode chemistry type. Battery types and their carbon intensities + are loaded from a YAML configuration file, making it easy to add + new battery chemistries. + """ + + MODEL_NAME = "battery" + REQUIRED_FIELDS = [CAPACITY] + + def __init__(self, model_file: str = DEFAULT_BATTERY_CONFIG) -> None: + """Initialize the BatteryModel from a YAML config file. + + Args: + model_file (str): Path to battery config YAML. Defaults to DEFAULT_BATTERY_CONFIG. + """ + self.model_file = model_file + model_data = load_yaml_with_macros(self.model_file, delete_macros=True) + batteries_data = model_data["batteries"] + + # dynamically generate battery types from config keys + self.battery_types = [b.upper() for b in batteries_data.keys()] + + self.model = {k.upper(): units(v) for k, v in batteries_data.items()} + for k, v in self.model.items(): + assert v.check(kg / kWh), ( + f"Battery carbon intensity must be in units of mass/energy. Got {v} for battery type {k}." + ) + + def get_carbon(self, device_data) -> Carbon: + """Get the estimated carbon emissions from a battery. + + Args: + device_data (DeviceData): Device data containing battery capacity + and optionally a type field specifying the cathode chemistry. + + Returns: + Carbon: The total carbon emissions from the battery fabrication. + """ + self.validate_data(device_data) + + capacity = device_data.capacity + btype = device_data.type if device_data.type else DEFAULT_BATTERY_TYPE + btype = btype.upper() + + if btype not in self.model: + log.error( + "Battery type '%s' not found in config. Available types: %s. Using default '%s'.", + btype, + self.battery_types, + DEFAULT_BATTERY_TYPE, + ) + btype = DEFAULT_BATTERY_TYPE + + c = Carbon(capacity * self.model[btype], SourceType.FABRICATION) + return c diff --git a/core/models/capacitor_model.py b/core/models/capacitor_model.py new file mode 100644 index 0000000..685fdba --- /dev/null +++ b/core/models/capacitor_model.py @@ -0,0 +1,73 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import pint +from act.core.carbon import Carbon, SourceType +from act.core.common import ACT_ROOT, CapacitorType +from act.core.device_data import BUILT, FAB_CI, N_ICS, TYPE, WEIGHT +from act.core.models.base_model import BaseModel +from act.core.models.ci_model import CIModel +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import units + +DEFAULT_CP_CONFIG = f"{ACT_ROOT}/models/passives/capacitors.yaml" + + +class CapacitorModel(BaseModel): + """ + A model for estimating carbon emissions from capacitors. + Attributes: + capacitor_model (dict): A dictionary mapping CapacitorType to units of carbon per weight. + ci_model: The ci model for carbon intensity values. + """ + + MODEL_NAME = "capacitor" + REQUIRED_FIELDS = [FAB_CI, TYPE, WEIGHT, N_ICS, BUILT] + + def __init__( + self, model_file=DEFAULT_CP_CONFIG, ci_model=None, use_legacy=False + ) -> None: + """ + Initializes a new instance of the CapacitorModel class. + Loads the capacitor model and carbon intensity model from YAML files. + Args: + model_file: Capacitor model file to load + + """ + self.capacitor_model: dict[CapacitorType, pint.Quantity] = { + CapacitorType(c): units(v) + for c, v in load_yaml_with_macros(model_file, delete_macros=True).items() + } + self.use_legacy = use_legacy + self.ci_model = ( + ci_model if ci_model is not None else CIModel(use_legacy=use_legacy) + ) + + def get_carbon(self, device_data) -> Carbon: + """ + Get the carbon emissions cost based on the capacitor type and weight of the capacitor. + Args: + ci (str): Carbon intensity per manufacturing energy. + ctype (CapacitorType): The capacitor type (MLCC or TEC). + weight (pint.Quantity): Weight of the capacitor. + n_caps (int, optional): Number of capacitors. Defaults to 1. + Returns: + Carbon: A carbon object that encodes the emissions cost of manufacturing. + """ + self.validate_data(device_data) + + ci = device_data.fab_ci + ctype = device_data.type + weight = device_data.weight + n_caps = device_data.n_ics + year = device_data.built + + _ci = self.ci_model.get_ci(ci, year=year) + c = Carbon( + self.capacitor_model[ctype] * weight * n_caps * _ci, + SourceType.PASSIVES, + ) + return c diff --git a/core/models/ci_model.py b/core/models/ci_model.py new file mode 100644 index 0000000..b2169cf --- /dev/null +++ b/core/models/ci_model.py @@ -0,0 +1,234 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import numpy as np +from act.core.common import ACT_ROOT, DEFAULT_BUILD_YEAR +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import g, kWh, units +from sklearn.linear_model import LinearRegression + +DEFAULT_LOCATION_CONFIG = ( + f"{ACT_ROOT}/models/carbon_intensity/ember/carbon-intensity-electricity.csv" +) +DEFAULT_SOURCE_CONFIG = f"{ACT_ROOT}/models/carbon_intensity/source.yaml" +LEGACY_LOCATION_CONFIG = f"{ACT_ROOT}/models/carbon_intensity/location.yaml" + +NORMALIZED_UNIT = g / kWh + +DEFAULT_FAB_SOURCE = "coal" +DEFAULT_OP_LOCATION = "usa" +DEFAULT_FAB_LOCATION = "taiwan" +DEFAULT_CAP_LOCATION = "japan" + + +class CIModel: + """Carbon intensity model for electricity generation. + + This model provides carbon intensity values based on geographic location + and year, using data from the Ember dataset. It supports extrapolation + for years not in the dataset. + + Attributes: + location_config (str): Path to the Ember dataset file. + source_config (str): Path to the energy source configuration file. + default_year (int): Default year for carbon intensity lookups. + use_legacy (bool): Whether to use legacy location data. + carbon_data (dict): Carbon intensity data by location and year. + source_data (dict): Carbon intensity data by energy source. + """ + + def __init__( + self, + location_config: str = DEFAULT_LOCATION_CONFIG, + source_config: str = DEFAULT_SOURCE_CONFIG, + default_year=DEFAULT_BUILD_YEAR, + use_legacy=False, + ): + """Initialize the Carbon Intensity Model. + + Args: + location_config (str): Path to the Ember dataset CSV file. + source_config (str): Path to the energy source YAML configuration. + default_year (int): Default year for carbon intensity lookups. + use_legacy (bool): If True, use legacy location data instead of Ember. + """ + self.location_config = location_config + self.source_config = source_config + self.default_year = default_year + self.use_legacy = use_legacy + + # data dicts + self.carbon_data = dict() + self.source_data = dict() + + # track the loaded years, entity locations, and sources + self.years = set() + self.entities = set() + self.sources = set() + + # cache any regression calculation requests + self.linear_models = dict() + + # load the model data + with open(self.location_config) as handle: + lines = handle.readlines()[1:] # strip header line + + # the country, code, year, and carbon intensity are the first four fields + for line in lines: + fields = line.split(",") + entity, code, year, ci = fields[0:4] + + # carbon intensity is specified as g / kWh + _ci = float(ci) * g / kWh + + # force entity as lower to make capitalization agnostic + _entity = entity.lower() + self.entities.add(_entity) + + _year = int(year) + self.years.add(_year) + + if _entity not in self.carbon_data: + self.carbon_data[_entity] = {_year: _ci} + else: + self.carbon_data[_entity][_year] = _ci + + # load the source data + self.source_data = { + k.lower(): units(v) + for k, v in load_yaml_with_macros( + self.source_config, delete_macros=True + ).items() + } + self.sources.update(list(self.source_data.keys())) + + # load the legacy location data from built year ACT to support legacy models + self.legacy_data = { + k.lower(): units(v) + for k, v in load_yaml_with_macros( + LEGACY_LOCATION_CONFIG, delete_macros=True + ).items() + } + + def get_ci(self, loc_or_src: str, year: int = DEFAULT_BUILD_YEAR): + """Get the carbon intensity for a location or energy source. + + Args: + loc_or_src (str): The location name or energy source. + year (int): The year for carbon intensity lookup. + + Returns: + pint.Quantity: Carbon intensity in g/kWh. + + Raises: + SystemExit: If the specified location is not found in the dataset. + """ + # resolve whether the provided configuration is location or source + if loc_or_src.lower() in self.sources: + entity, year, source = None, None, loc_or_src + else: + entity, year, source = loc_or_src, year, None + + # if the entity is specified, extract the CI from location data + if entity is not None: + _entity = entity.lower() + + if self.use_legacy: # support for legacy location CIs + ci = self.legacy_data[_entity] + else: # otherwise extract from the Ember CI database + # ensure the entity location exists + if _entity not in self.entities: + log.critical( + f"The location specified location {_entity} was not found in the dataset. Valid entity locations are: {self.entities}." + ) + exit(-1) + entity_data = self.carbon_data[_entity] + + # ensure the year for the entity location exists + if year is None: + ci = entity_data[self.default_year] + elif year not in entity_data: + # if the year doesn't exist, extrapolate the value based on a linear interpolation + ci = self.extrapolate(entity, year) + else: + ci = entity_data[year] + + # dimensional analysis check + assert ci.check(g / kWh) + return ci + + # otherwise extract from the source data which should be agnostic to the year + else: + return self.source_data[source.lower()] + + def extrapolate(self, loc, year: int): + """Extrapolate carbon intensity for a year not in the dataset. + + Uses linear regression on existing data points to predict the + carbon intensity for the specified year. + + Args: + loc (str): The location to extrapolate for. + year (int): The target year. + + Returns: + pint.Quantity: Extrapolated carbon intensity in g/kWh. + """ + + if loc in self.linear_models: + model = self.linear_models[loc] + else: + # get all the data points for the new_year_built location + carbon_data = self.carbon_data[loc] + + x_values, y_values = [], [] + for k, v in carbon_data.items(): + x_values.append([k]) + y_values.append(v.to(NORMALIZED_UNIT).m) + _x_values, _y_values = np.array(x_values), np.array(y_values) + + model = LinearRegression() + model.fit(_x_values, _y_values) + self.linear_models[loc] = model + + _predict = model.predict(np.array([[year]])) + predict = _predict[0] * NORMALIZED_UNIT + + # carbon neutral is the best we can do so put the floor at zero + predict = max(predict, 0 * g / kWh) + + return predict + + def get_ci_scale_factor( + self, + src_or_loc: str, + built: int = None, + new_year_built: int = None, + new_src_or_loc=None, + ): + """Calculate the carbon intensity scale factor between two years. + + Args: + src_or_loc (str): The fabrication location or energy source. + built (int): The original build year. + new_year_built (int): The target year for comparison. + new_src_or_loc (str): Optional new location/source for comparison. + + Returns: + float: Scale factor representing CI change from built to new_year_built. + """ + if new_src_or_loc is None: + new_src_or_loc = src_or_loc + if built is None: + built = DEFAULT_BUILD_YEAR + if new_year_built is None: + new_year_built = built + + built_ci = self.get_ci(src_or_loc, year=built) + new_year_built_ci = self.get_ci(new_src_or_loc, year=new_year_built) + + return (new_year_built_ci / built_ci).m diff --git a/core/models/dram_model.py b/core/models/dram_model.py new file mode 100644 index 0000000..2c162c6 --- /dev/null +++ b/core/models/dram_model.py @@ -0,0 +1,35 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ACT_ROOT +from act.core.models.storage_model import StorageModel +from act.core.processes import DRAMProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import units + +DEFAULT_DRAM_CONFIG = f"{ACT_ROOT}/models/dram/dram_hynix.yaml" + + +class DRAMModel(StorageModel): + """Model for estimating carbon emissions from DRAM. + + This model calculates embodied carbon for dynamic random access memory + based on capacity and manufacturing process. + """ + + MODEL_NAME = "dram" + + def __init__(self, model_file=DEFAULT_DRAM_CONFIG) -> None: + """Initialize the DRAM Model. + + Args: + model_file (str): Path to the DRAM model configuration file. + """ + # Load the DRAM model + self.model_file = model_file + model_data: dict = load_yaml_with_macros(self.model_file, delete_macros=True) + dram_model = {DRAMProcess(k): units(v) for k, v in model_data.items()} + super().__init__(fab_model=dram_model) diff --git a/core/models/hdd_model.py b/core/models/hdd_model.py new file mode 100644 index 0000000..41edee3 --- /dev/null +++ b/core/models/hdd_model.py @@ -0,0 +1,42 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ACT_ROOT +from act.core.models.storage_model import StorageModel +from act.core.processes import HDDProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import units + +DEFAULT_HDD_CONFIG = [ + f"{ACT_ROOT}/models/hdd/hdd_consumer.yaml", + f"{ACT_ROOT}/models/hdd/hdd_enterprise.yaml", +] + + +class HDDModel(StorageModel): + """Model for estimating carbon emissions from hard disk drives. + + This model calculates embodied carbon for HDDs based on capacity + and product model. + """ + + MODEL_NAME = "hdd" + + def __init__(self, model_files=DEFAULT_HDD_CONFIG) -> None: + """Initialize the HDD Model. + + Args: + model_files (list[str]): Paths to HDD model configuration files. + """ + + self.model_files = model_files + hdd_model = dict() + for mfile in self.model_files: + model_data = load_yaml_with_macros(mfile, delete_macros=True) + hdd_model.update(model_data) + + hdd_model = {HDDProcess(k): units(v) for k, v in hdd_model.items()} + super().__init__(fab_model=hdd_model) diff --git a/core/models/imec_logic_model.py b/core/models/imec_logic_model.py new file mode 100644 index 0000000..30682e4 --- /dev/null +++ b/core/models/imec_logic_model.py @@ -0,0 +1,55 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import pint +from act.core.common import ACT_ROOT, DEFAULT_FAB_YIELD +from act.core.device_data import AREA, FAB_YIELD, N_ICS, PROCESS +from act.core.models.base_logic_model import BaseLogicModel +from act.core.processes import LogicProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import units + +DEFAULT_CPA_CONFIG = f"{ACT_ROOT}/models/logic/imec-netzero-cpa.yaml" + + +class IMECLogicModel(BaseLogicModel): + """Logic model using imec.netzero carbon-per-area data. + + A simpler alternative to LogicModel that derives carbon directly + from a carbon-per-area configuration file rather than composing + EPA, GPA, and materials models separately. + """ + + REQUIRED_FIELDS = [PROCESS, AREA, FAB_YIELD, N_ICS] + + def __init__(self, cpa_file=DEFAULT_CPA_CONFIG) -> None: + """Initialize the IMEC Logic Model. + + Args: + cpa_file (str): Path to the carbon-per-area YAML configuration. + """ + self.cpa_file = cpa_file + raw = load_yaml_with_macros(cpa_file, delete_macros=True) + self.cpa_model = {LogicProcess(k): units(v) for k, v in raw.items()} + + def get_cpa( + self, + process: LogicProcess, + fab_yield: float = DEFAULT_FAB_YIELD, + **kwargs, + ) -> pint.Quantity: + """Get carbon per area from the CPA configuration.""" + if process not in self.cpa_model: + log.error(f"Logic process {process} not found in CPA model.") + exit(-1) + return self.cpa_model[process] / fab_yield + + def is_process_supported(self, process: LogicProcess) -> bool: + return process in self.cpa_model + + def supported_processes(self) -> set: + return set(self.cpa_model.keys()) diff --git a/core/models/logic_model.py b/core/models/logic_model.py new file mode 100644 index 0000000..096306b --- /dev/null +++ b/core/models/logic_model.py @@ -0,0 +1,198 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import pint +from act.core.carbon import Carbon, SourceType +from act.core.common import ( + AbatementLevel, + ACT_ROOT, + CARBON_PER_IC_PACKAGE, + DEFAULT_FAB_YIELD, +) +from act.core.device_data import AREA, BUILT, FAB_CI, FAB_YIELD, GPA, N_ICS, PROCESS +from act.core.models.base_logic_model import BaseLogicModel +from act.core.models.ci_model import CIModel, DEFAULT_BUILD_YEAR, DEFAULT_FAB_LOCATION +from act.core.processes import LOGIC_DATA, LogicProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import g, mm2, units + +DEFAULT_EPA_CONFIG = f"{ACT_ROOT}/models/logic/epa.yaml" +DEFAULT_MATERIALS_CONFIG = f"{ACT_ROOT}/models/logic/materials.yaml" +DEFAULT_GPA95_CONFIG = f"{ACT_ROOT}/models/logic/gpa_95.yaml" +DEFAULT_GPA99_CONFIG = f"{ACT_ROOT}/models/logic/gpa_99.yaml" + + +class LogicModel(BaseLogicModel): + """Model for estimating carbon emissions from logic chips. + + Uses the EPA (energy per area), GPA (gas per area), and materials + models to compute carbon per area for each process node. + """ + + REQUIRED_FIELDS = [PROCESS, AREA, FAB_YIELD, N_ICS, GPA, FAB_CI, BUILT] + + def __init__( + self, + epa_file=DEFAULT_EPA_CONFIG, + materials_config=DEFAULT_MATERIALS_CONFIG, + gpa95_file=DEFAULT_GPA95_CONFIG, + gpa99_file=DEFAULT_GPA99_CONFIG, + ci_model=None, + use_legacy=False, + ) -> None: + self.use_legacy = use_legacy + self.materials_config = materials_config + self.epa_file = epa_file + self.gpa95_file = gpa95_file + self.gpa99_file = gpa99_file + self.ci_model = ( + ci_model if ci_model is not None else CIModel(use_legacy=self.use_legacy) + ) + + self.epa_model = { + LogicProcess(k): units(v) + for k, v in load_yaml_with_macros(self.epa_file, delete_macros=True).items() + } + + self.materials_model = { + LogicProcess(k): units(v) + for k, v in load_yaml_with_macros( + self.materials_config, delete_macros=True + ).items() + } + + self.gpa_model = dict() + self.gpa_model[AbatementLevel.GPA95] = { + LogicProcess(k): units(v) + for k, v in load_yaml_with_macros( + self.gpa95_file, delete_macros=True + ).items() + } + self.gpa_model[AbatementLevel.GPA99] = { + LogicProcess(k): units(v) + for k, v in load_yaml_with_macros( + self.gpa99_file, delete_macros=True + ).items() + } + self.gpa_model[AbatementLevel.GPA97] = { + key: ( + self.gpa_model[AbatementLevel.GPA95][key] + + self.gpa_model[AbatementLevel.GPA99][key] + ) + / 2.0 + for key in self.gpa_model[AbatementLevel.GPA95].keys() + } + + def get_cpa( + self, + process: LogicProcess, + fab_yield: float = DEFAULT_FAB_YIELD, + gpa=AbatementLevel.GPA97, + fab_ci=DEFAULT_FAB_LOCATION, + year=DEFAULT_BUILD_YEAR, + **kwargs, + ) -> pint.Quantity: + """Get carbon per area from EPA + GPA + materials models.""" + if gpa not in AbatementLevel: + log.error(f"Abatement level {gpa} not recognized...") + exit(-1) + + ci = self.ci_model.get_ci(fab_ci, year=year) + + carbon_energy = ci * self.epa_model[process] + carbon_gas = self.gpa_model[gpa][process] + carbon_materials = self.materials_model[process] + + carbon_per_area = carbon_energy + carbon_gas + carbon_materials + carbon_per_area = carbon_per_area / fab_yield + + return carbon_per_area + + def get_carbon(self, device_data) -> Carbon: + """Get total carbon for a logic device using EPA+GPA+materials.""" + self.validate_data(device_data) + + if self.is_process_supported(device_data.process): + process = device_data.process + elif device_data.process is LogicProcess.NA: + return Carbon(0 * g, SourceType.OTHER) + else: + process = self.get_closest_supported_process(device_data.process) + + area = device_data.area + fab_yield = device_data.fab_yield + n_ics = device_data.n_ics + gpa = device_data.gpa + fab_ci = device_data.fab_ci + year = device_data.built + + assert area.check(mm2) + + if process not in self.epa_model: + log.error(f"Logic process {process} not found in EPA model.") + exit(-1) + if process not in self.gpa_model[gpa]: + log.error(f"Logic process {process} not found in GPA model.") + exit(-1) + if process not in self.materials_model: + log.error(f"Logic process {process} not found in materials model.") + exit(-1) + + cpa = self.get_cpa( + process=process, fab_yield=fab_yield, gpa=gpa, fab_ci=fab_ci, year=year + ) + carbon = Carbon(area * cpa, SourceType.FABRICATION) + Carbon( + n_ics * CARBON_PER_IC_PACKAGE, SourceType.PACKAGING + ) + return carbon + + def is_process_supported(self, process: LogicProcess) -> bool: + return ( + process in self.materials_model + and process in self.epa_model + and process in self.gpa_model[AbatementLevel.GPA95] + and process in self.gpa_model[AbatementLevel.GPA99] + ) + + def supported_processes(self) -> set: + return set(self.epa_model.keys()) + + def get_closest_supported_process(self, process: LogicProcess) -> LogicProcess: + """Find the closest supported process (preserves legacy behavior).""" + process_year = LOGIC_DATA[process].year + closest_delta = float("inf") + closest_process = None + + for p in self.epa_model: + p_year = LOGIC_DATA[process].year + if p_year is None or process_year is None: + continue + if p_year <= process_year: + delta = abs(p_year - process_year) + if closest_process is None or delta < closest_delta: + closest_process, closest_delta = p, delta + + if closest_process is None: + supported = list(self.epa_model.keys()) + if supported: + closest_process = supported[0] + + assert closest_process is not None + return closest_process + + def get_carbon_energy( + self, process: LogicProcess, fab_ci=DEFAULT_FAB_LOCATION + ) -> pint.Quantity: + return self.ci_model.get_ci(fab_ci) * self.epa_model[process] + + def get_carbon_gas( + self, process: LogicProcess, gpa=AbatementLevel.GPA97 + ) -> pint.Quantity: + return self.gpa_model[gpa][process] + + def get_carbon_materials(self, process: LogicProcess) -> pint.Quantity: + return self.materials_model[process] diff --git a/core/models/manual_model.py b/core/models/manual_model.py new file mode 100644 index 0000000..b37aaa4 --- /dev/null +++ b/core/models/manual_model.py @@ -0,0 +1,20 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import Carbon +from act.core.device_data import CARBON, CTYPE +from act.core.models.base_model import BaseModel + + +class ManualModel(BaseModel): + """Model for directly passing through manually specified carbon emissions.""" + + MODEL_NAME = "manual" + REQUIRED_FIELDS = [CARBON, CTYPE] + + def get_carbon(self, device_data): + self.validate_data(device_data) + return Carbon(device_data.carbon, device_data.ctype) diff --git a/core/models/materials_model.py b/core/models/materials_model.py new file mode 100644 index 0000000..97f65c0 --- /dev/null +++ b/core/models/materials_model.py @@ -0,0 +1,80 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import Carbon, SourceType +from act.core.common import ACT_ROOT, NA +from act.core.device_data import TYPE, WEIGHT +from act.core.models.base_model import BaseModel +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import g, units + +DEFAULT_MATERIALS_CONFIG = f"{ACT_ROOT}/models/materials/materials.yaml" +HEATSINK = "heatsink" + + +class MaterialsModel(BaseModel): + """ + A model for estimating carbon emissions from materials. + Attributes: + model (dict): A dictionary mapping material types to their corresponding carbon costs. + """ + + MODEL_NAME = "materials" + REQUIRED_FIELDS = [TYPE, WEIGHT] + + def __init__(self, model_file: str = DEFAULT_MATERIALS_CONFIG) -> None: + """ + Initializes a new instance of the MaterialsModel class. + Loads the materials data from a YAML file and constructs the model. + Args: + model_file (str, optional): The path to the materials data file. Defaults to DEFAULT_MATERIALS_CONFIG. + """ + self.model_file = model_file + model_data = load_yaml_with_macros(self.model_file, delete_macros=True) + materials_data = model_data["materials"] + + # dynamically generate the materials enum + self.material_types = [m.lower() for m in materials_data.keys()] + + self.model = {k.lower(): units(v) for k, v in materials_data.items()} + for k, v in self.model.items(): + assert v.check(g / g), ( + f"Materials cost must be dimensionless. Got {v} for material {k}." + ) + + def get_carbon(self, device_data) -> Carbon: + """ + Get the estimated carbon emissions from a given material and weight. + Args: + mat (str): The type of material. + weight (pint.Quantity): The weight of the material. + Returns: + Carbon: The total carbon emissions from the material. + Raises: + AssertionError: If the weight is not in units of weight. + """ + self.validate_data(device_data) + + mat = device_data.type + weight = device_data.weight + + if mat.lower() == NA: + log.error( + "Material type was not specified. Reporting the carbon cost as zero." + ) + return Carbon(0 * g, SourceType.MATERIALS) + assert weight.check(g), f"Weight should be in units of weight but got {weight}" + if mat.lower() not in self.model: + valid_types = ", ".join(sorted(self.model.keys())) + log.critical( + f"Unknown material type '{mat}'. " + f"Valid material types are: {valid_types}" + ) + exit(-1) + c_per_kg = self.model[mat.lower()] + c = c_per_kg * weight + return Carbon(c, SourceType.MATERIALS) diff --git a/core/models/op_model.py b/core/models/op_model.py new file mode 100644 index 0000000..635278e --- /dev/null +++ b/core/models/op_model.py @@ -0,0 +1,74 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import Carbon, SourceType +from act.core.device_data import DUTY_CYCLE, LIFE_CYCLE, OP_CI, OP_YEAR, POWER +from act.core.models.base_model import BaseModel +from act.core.models.ci_model import CIModel +from act.core.utils.logger import log +from act.core.utils.units import s + + +class OpModel(BaseModel): + """Model for estimating operational carbon emissions. + + This model calculates carbon emissions from device operation based on + power consumption, duty cycle, lifetime, and grid carbon intensity. + + Attributes: + ci_model (CIModel): Carbon intensity model for energy calculations. + use_legacy (bool): Whether to use legacy carbon intensity data. + """ + + MODEL_NAME = "op" + REQUIRED_FIELDS = [LIFE_CYCLE, DUTY_CYCLE, POWER, OP_CI, OP_YEAR] + + def __init__(self, ci_model=None, use_legacy=False) -> None: + """Initialize the Operation Model. + + Args: + ci_model (CIModel): Optional pre-initialized carbon intensity model. + use_legacy (bool): If True, use legacy carbon intensity data. + """ + self.ci_model = ci_model if ci_model is not None else CIModel() + self.use_legacy = use_legacy + + def get_carbon( + self, + device_data, + ) -> Carbon: + """Get the estimated carbon operation costs. + + Args: + life_cycle (units): The estimated device life_cycle. + duty_cycle (float): The estimated device active duty cycle. + op_power (units): The average operating power of the device. + op_ci (str): The carbon intensity of the energy grid for operation. + Returns: + Carbon: The total carbon emissions from operation. + Raises: + SystemExit: If the life_cycle does not have units of time. + """ + self.validate_data(device_data) + + life_cycle = device_data.life_cycle + duty_cycle = device_data.duty_cycle + op_power = device_data.power + op_ci = device_data.op_ci + year = device_data.op_year + + if not life_cycle.check(s): + log.error( + f"Operating life_cycle of device must have units of time. Got {life_cycle}" + ) + exit(-1) + + _op_ci = self.ci_model.get_ci(op_ci, year=year) + + op_time = life_cycle * duty_cycle + carbon = _op_ci * op_power * op_time + + return Carbon(carbon, SourceType.OPERATION) diff --git a/act/core/pcb_model.py b/core/models/pcb_model.py similarity index 54% rename from act/core/pcb_model.py rename to core/models/pcb_model.py index 1ada65f..4355e5c 100644 --- a/act/core/pcb_model.py +++ b/core/models/pcb_model.py @@ -1,38 +1,44 @@ # Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the +# All rights reserved. +# +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. -import yaml - -from .carbon import Carbon, SourceType -from .common import ACT_ROOT -from .logger import log - -from .units import mm2, units +from act.core.carbon import Carbon, SourceType +from act.core.common import ACT_ROOT +from act.core.device_data import AREA, LAYERS +from act.core.models.base_model import BaseModel +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log +from act.core.utils.units import mm2, units DEFAULT_PCB_MODEL_FILE = f"{ACT_ROOT}/models/materials/pcb.yaml" INTERPOLATED_AVERAGE_KEY = "cpla" -class PCBModel: - """ - Basic printed circuit board carbon emissions model by area. +class PCBModel(BaseModel): + """Model for estimating carbon emissions from printed circuit boards. + + This model calculates embodied carbon for PCBs based on area and + number of layers. - This class provides a simple model for calculating the carbon emissions of a printed circuit board (PCB) - based on its area and number of layers. + Attributes: + model (dict): Carbon per area by number of layers. + interpolated_cpla (pint.Quantity): Default carbon per layer per area for interpolation. """ + MODEL_NAME = "pcb" + REQUIRED_FIELDS = [AREA, LAYERS] + def __init__(self, model_file: str = DEFAULT_PCB_MODEL_FILE): - """ - Initializes the PCBModel instance with a model file. + """Initialize the PCB Model. Args: - model_file (str): The path to the model file. Defaults to DEFAULT_PCB_MODEL_FILE. + model_file (str): Path to the PCB model configuration file. """ - with open(model_file) as handle: - model_data = yaml.load(handle, Loader=yaml.FullLoader) + self.model_file = model_file + model_data = load_yaml_with_macros(self.model_file, delete_macros=True) self.model = {k: units(v) for k, v in model_data.items()} if INTERPOLATED_AVERAGE_KEY in self.model: @@ -44,20 +50,24 @@ def __init__(self, model_file: str = DEFAULT_PCB_MODEL_FILE): ) self.interpolated_cpla = None - def get_carbon(self, area, layers: int): - """ - Calculates the carbon emissions for a given PCB area and number of layers. + def get_carbon(self, device_data): + """Calculate the carbon emissions for a PCB. Args: - area: The area of the PCB. - layers (int): The number of layers in the PCB. + device_data (DeviceData): Device data containing area and layers. Returns: Carbon: The total carbon emissions for the PCB. Raises: AssertionError: If the area is not in units of area. + SystemExit: If no model exists for the number of layers. """ + self.validate_data(device_data) + + area = device_data.area + layers = device_data.layers + assert area.check(mm2), f"Expected area units for PCB model but got {area}" # if the CPA for the number of layers is provided, use it directly diff --git a/core/models/ssd_model.py b/core/models/ssd_model.py new file mode 100644 index 0000000..3969e6a --- /dev/null +++ b/core/models/ssd_model.py @@ -0,0 +1,41 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ACT_ROOT +from act.core.models.storage_model import StorageModel +from act.core.processes import SSDProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import units + +DEFAULT_SSD_MODEL_FILES = [ + f"{ACT_ROOT}/models/ssd/ssd_hynix.yaml", + f"{ACT_ROOT}/models/ssd/ssd_seagate.yaml", + f"{ACT_ROOT}/models/ssd/ssd_western.yaml", +] + + +class SSDModel(StorageModel): + """Model for estimating carbon emissions from SSDs/flash storage. + + This model calculates embodied carbon for solid state drives based on + capacity and manufacturing process. + """ + + MODEL_NAME = "flash" + + def __init__(self, model_files=DEFAULT_SSD_MODEL_FILES) -> None: + """Initialize the SSD Model. + + Args: + model_files (list[str]): Paths to SSD model configuration files. + """ + self.model_files = model_files + ssd_model = dict() + for model_file in self.model_files: + data = load_yaml_with_macros(model_file, delete_macros=True) + ssd_model.update({SSDProcess(k): units(v) for k, v in data.items()}) + + super().__init__(fab_model=ssd_model) diff --git a/act/core/storage_model.py b/core/models/storage_model.py similarity index 66% rename from act/core/storage_model.py rename to core/models/storage_model.py index 1943d30..d0f8860 100644 --- a/act/core/storage_model.py +++ b/core/models/storage_model.py @@ -1,27 +1,33 @@ # Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the +# All rights reserved. +# +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. -from .carbon import Carbon, SourceType -from .common import CARBON_PER_IC_PACKAGE, DEFAULT_FAB_YIELD +from act.core.carbon import Carbon, SourceType +from act.core.common import CARBON_PER_IC_PACKAGE +from act.core.device_data import FAB_YIELD, N_ICS, PROCESS, SIZE +from act.core.models.base_model import BaseModel +from act.core.utils.logger import log +from act.core.utils.units import byte -from .logger import log -from .units import byte +class StorageModel(BaseModel): + """Base model for calculating storage-related carbon emissions. -class StorageModel: - """ - A model for calculating storage-related carbon emissions. + This model provides common functionality for storage devices (DRAM, SSD, HDD) + based on capacity and manufacturing process. Attributes: - fab_model (dict): A dictionary representing the fabrication model. + fab_model (dict): Dictionary mapping process types to carbon per capacity. """ + MODEL_NAME = "storage" + REQUIRED_FIELDS = [PROCESS, FAB_YIELD, N_ICS, SIZE] + def __init__(self, fab_model: dict) -> None: """ Initializes a new instance of the StorageModel class. - Args: fab_model (dict): A dictionary representing the fabrication model. """ @@ -30,10 +36,8 @@ def __init__(self, fab_model: dict) -> None: def _check_process(self, process: str) -> None: """ Checks if a process exists in the fabrication model. - Args: process (str): The name of the process to check. - Raises: SystemExit: If the process does not exist in the fabrication model. """ @@ -46,10 +50,8 @@ def _check_process(self, process: str) -> None: def _check_yield(self, fab_yield: float) -> None: """ Checks if the fabrication yield is valid. - Args: fab_yield (float): The fabrication yield to check. - Raises: SystemExit: If the fabrication yield is not a float between 0 and 1. """ @@ -62,11 +64,9 @@ def _check_yield(self, fab_yield: float) -> None: def get_cpg(self, process: str, fab_yield: float) -> float: """ Calculates the carbon per gigabyte for a given process and fabrication yield. - Args: process (str): The name of the process. fab_yield (float): The fabrication yield. - Returns: float: The carbon per gigabyte. """ @@ -74,30 +74,29 @@ def get_cpg(self, process: str, fab_yield: float) -> float: self._check_yield(fab_yield) return self.fab_model[process] / fab_yield - def get_carbon( - self, - process: str, - capacity, - fab_yield: float = DEFAULT_FAB_YIELD, - n_ics: int = 0, - ) -> Carbon: + def get_carbon(self, device_data) -> Carbon: """ - Calculates the total carbon emissions for a given process, capacity, and fabrication yield. - + Calculates the total carbon emissions for a given process, size, and fabrication yield. Args: process (str): The name of the process. - capacity: The capacity of the storage device. - fab_yield (float, optional): The fabrication yield. Defaults to DEFAULT_FAB_YIELD. + size: The size of the storage device. + fab_yield (float, optional): The fabrication yield. Defaults to DEFAULT_STORAGE_FAB_YIELD. n_ics (int, optional): The number of ICs. Defaults to 0. - Returns: Carbon: The total carbon emissions. """ + self.validate_data(device_data) + + process = device_data.process + size = device_data.size + fab_yield = device_data.fab_yield + n_ics = device_data.n_ics + self._check_yield(fab_yield) - if not capacity.check(byte): - log.error(f"Capacity must have units of storage. Got {capacity}") + if not size.check(byte): + log.error(f"Capacity must have units of storage. Got {size}") exit(-1) self._check_process(process) return Carbon( - capacity * self.get_cpg(process, fab_yield), SourceType.FABRICATION + size * self.get_cpg(process, fab_yield), SourceType.FABRICATION ) + Carbon(n_ics * CARBON_PER_IC_PACKAGE, SourceType.PACKAGING) diff --git a/core/processes.py b/core/processes.py new file mode 100644 index 0000000..a97c5d0 --- /dev/null +++ b/core/processes.py @@ -0,0 +1,204 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import dataclass +from enum import Enum + +from act.core.utils.units import nm, units + + +class LogicProcess(Enum): + """Enumeration of supported logic manufacturing processes.""" + + N65 = "65nm" + N45 = "45nm" + N40 = "40nm" + N28 = "28nm" + N20 = "20nm" + N14 = "14nm" + N10 = "10nm" + N8 = "8nm" + N7 = "7nm" + N7_EUV = "7nm_EUV" + N5 = "5nm" + N3 = "3nm" + N2 = "2nm" + N2_BSP = "2nm_BSP" + A14 = "14a" + A10 = "10a" + NA = "na" + + +@dataclass +class ProcessData: + """Data class for storing process technology information. + + Attributes: + size (units.Quantity): Process node size in nanometers. + year (int): Year the process was released. + """ + + size: units.Quantity + year: int + + +# bind the logic processes against the geometry and process release year +LOGIC_DATA = { + # dates based on historical release cycle years from TSMC + LogicProcess.N65: ProcessData(size=65 * nm, year=2006), + LogicProcess.N45: ProcessData(size=45 * nm, year=2007), + LogicProcess.N40: ProcessData(size=40 * nm, year=2008), + LogicProcess.N28: ProcessData(size=28 * nm, year=2011), + LogicProcess.N20: ProcessData(size=20 * nm, year=2014), + LogicProcess.N14: ProcessData(size=14 * nm, year=2013), + LogicProcess.N10: ProcessData(size=10 * nm, year=2016), + LogicProcess.N8: ProcessData(size=8 * nm, year=None), # no data available + LogicProcess.N7: ProcessData(size=7 * nm, year=2018), + LogicProcess.N7_EUV: ProcessData(size=7 * nm, year=2019), + LogicProcess.N5: ProcessData(size=5 * nm, year=2020), + LogicProcess.N3: ProcessData(size=3 * nm, year=2023), + # dates based on projected roadmap from https://www.anandtech.com/show/21408/tsmc-roadmap-at-a-glance-n3x-n2p-a16-2025-2026 + LogicProcess.N2: ProcessData(size=2 * nm, year=2025), + # assumes the same as N2 + LogicProcess.N2_BSP: ProcessData(size=2 * nm, year=2025), + # projected from https://pr.tsmc.com/english/news/3228 + LogicProcess.A14: ProcessData(size=1.4 * nm, year=2028), + # projected from https://www.extremetech.com/computing/tsmc-says-it-expects-to-produce-1nm-transistors-by-2030 + LogicProcess.A10: ProcessData(size=1 * nm, year=2030), + LogicProcess.NA: None, +} + + +class DRAMProcess(Enum): + """Enumeration of supported DRAM manufacturing processes.""" + + DDR3_50NM = "ddr3_50nm" + DDR3_40NM = "ddr3_40nm" + DDR3_30NM = "ddr3_30nm" + LPDDR3_30NM = "lpddr3_30nm" + LPDDR3_20NM = "lpddr3_20nm" + LPDDR2_20NM = "lpddr2_20nm" + LPDDR4 = "lpddr4" + DDR4_10NM = "ddr4_10nm" + NA = "na" + + +class SSDProcess(Enum): + """Enumeration of supported SSD/NAND manufacturing processes.""" + + NAND_30NM = "nand_30nm" + NAND_20NM = "nand_20nm" + NAND_10NM = "nand_10nm" + NAND_TLC_1Z = "nand_tlc_1z" + NAND_TLC_V3 = "nand_tlc_v3" + SEAGATE_3530 = "seagate_nytro_3530" + SEAGATE_1551 = "seagate_nytro_1551" + SEAGATE_3331 = "seagate_nytro_3331" + WD_2016 = "western_digital_2016" + WD_2017 = "western_digital_2017" + WD_2018 = "western_digital_2018" + WD_2019 = "western_digital_2019" + NA = "na" + + +class HDDProcess(Enum): + """Enumeration of supported HDD product models.""" + + BARRACUDA = "BarraCuda" + BARRACUDA2 = "BarraCuda2" + BARRACUDA_PRO = "BarraCuda Pro" + FIRECUDA = "FireCuda" + FIRECUDA2 = "FireCuda2" + IRONWOLF = "IronWolf" + IRONWOLFPRO = "IronWolfPro" + SKYHAWK3TB = "SkyWalk3TB" + SKYHAWK_SURV = "Skyhawk Surveillance" + SKYHAWK6TB = "Skyhawk-6TB" + VIDEO_HDD = "VideoHDD" + VIDEO_PHDD = "VideoPipelineHDD" + EXOS2X14 = "Exos2x14" + EXOSX12 = "Exosx12" + EXOSX16 = "Exosx16" + EXOS15 = "Exos15e900" + EXOS10 = "Exos10e2400" + EXOS500 = "Exos5e8" + EXOS700 = "Exos7e8" + NA = "na" + + +NOT_SCALING_PROCESSES = [LogicProcess.NA, DRAMProcess.NA, HDDProcess.NA, SSDProcess.NA] + + +def get_next_largest_logic_process(target_size): + """Find the next largest available logic process for a given target size. + + Finds the smallest logic process node that is greater than or equal to + the target size. This is used when a specific technology node is not + available and needs to be rounded up to the nearest available node. + + Args: + target_size (pint.Quantity): Target technology node size in nanometers. + + Returns: + LogicProcess: The next largest available logic process, or LogicProcess.NA + if no suitable process is found. + """ + candidates = [] + for process, process_data in LOGIC_DATA.items(): + if process_data is None: + continue + if process_data.size >= target_size: + candidates.append((process, process_data.size)) + + if not candidates: + return LogicProcess.NA + + candidates.sort(key=lambda x: x[1]) + return candidates[0][0] + + +def resolve_logic_process_with_rounding(str_process): + """Resolve a logic process string, rounding up to the nearest available node if needed. + + First attempts to directly resolve the process string to a LogicProcess enum value. + If that fails, parses the string as a dimension (e.g., "15nm") and finds the next + largest available logic process. + + Args: + str_process (str): String representation of the process (e.g., "14nm", "15nm"). + + Returns: + tuple: (LogicProcess, bool) where the bool indicates if rounding occurred. + """ + try: + return LogicProcess(str_process), False + except ValueError: + try: + target_size = units(str_process) + rounded_process = get_next_largest_logic_process(target_size) + return rounded_process, rounded_process != LogicProcess.NA + except Exception: + return LogicProcess.NA, False + + +def resolve_process(str_process, fallback=LogicProcess.NA): + """Resolve a string process name to its corresponding process enum. + + Args: + str_process (str): String representation of the process. + fallback: Default process to return if no match is found. + + Returns: + Union[LogicProcess, SSDProcess, HDDProcess, DRAMProcess]: The resolved process enum value. + """ + process_enums = [LogicProcess, SSDProcess, HDDProcess, DRAMProcess] + for process in process_enums: + try: + p = process(str_process) + return p + except ValueError: + continue + return fallback diff --git a/core/scaling/__init__.py b/core/scaling/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/scaling/apply_ci_scaling.py b/core/scaling/apply_ci_scaling.py new file mode 100644 index 0000000..390b99d --- /dev/null +++ b/core/scaling/apply_ci_scaling.py @@ -0,0 +1,57 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.models.ci_model import CIModel + + +def apply_ci_scaling(act_results, bom, scaling_config=None, ci_model=None): + """Apply carbon intensity scaling to ACT results. + + Scales carbon emissions based on changes in manufacturing year or location + as specified in the scaling configuration. + + Args: + act_results (ACTResult): The ACT results to scale. + bom (BOM): The bill of materials. + scaling_config (ScalingConfig): Configuration specifying scaling parameters. + ci_model (CIModel): Optional carbon intensity model. + """ + if scaling_config is None: + return + if ci_model is None: + ci_model = CIModel() + + for dname in act_results.carbon_by_device: + for path, data in scaling_config.scaling_paths.items(): + if (data.year is None and data.location is None) or not dname.startswith( + path + ): # skip if no year is specified + continue + + # check for a supply chain location change + dev = bom.devices[dname] + if data.location is not None: + new_fab_ci = data.location + else: + new_fab_ci = dev.fab_ci + + if data.year is not None: + new_year_built = data.year + else: + new_year_built = None + + # scale the carbon emissions by the relative CI factor otherwise + built = dev.built + fab_ci = dev.fab_ci + ci_scale_factor = ci_model.get_ci_scale_factor( + src_or_loc=fab_ci, + new_src_or_loc=new_fab_ci, + built=built, + new_year_built=new_year_built, + ) + + assert ci_scale_factor >= 0 + act_results.carbon_by_device[dname] *= ci_scale_factor diff --git a/core/scaling/power_scaling_model.py b/core/scaling/power_scaling_model.py new file mode 100644 index 0000000..84ecd0b --- /dev/null +++ b/core/scaling/power_scaling_model.py @@ -0,0 +1,98 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import ACT_ROOT +from act.core.processes import LogicProcess, NOT_SCALING_PROCESSES +from act.core.utils.logger import log + +DEFAULT_SCALE_FACTORS = f"{ACT_ROOT}/assets/full_scale_factors.csv" + + +CSV_DELIMITER = "," +UNKNOWN = -1 + + +class PowerScalingModel: + """Model for scaling power consumption between technology nodes. + + This model provides scale factors for estimating power changes when + moving between different logic process nodes. + + Attributes: + scale_factors (dict): Nested dictionary of scale factors by source and destination process. + scale_factors_config (str): Path to the scale factors CSV file. + """ + + def __init__(self, scale_factors_config=DEFAULT_SCALE_FACTORS): + """Initialize the Power Scaling Model. + + Args: + scale_factors_config (str): Path to the scale factors CSV file. + """ + self.scale_factors = dict() + self.scale_factors_config = scale_factors_config + + with open(self.scale_factors_config) as handle: + lines = handle.readlines() + header_line = lines[0].split(CSV_DELIMITER) + headers = [ + x.strip() for x in header_line[1:] + ] # first entry is blank and last entry has \n + + for line in lines[1:]: + fields = [x.strip() for x in line.split(CSV_DELIMITER)] + src = fields[0] + + try: + src_process = LogicProcess(src) + self.scale_factors[src_process] = dict() + except ValueError as e: + log.debug( + f"Source scale factor {src} not supported by ACT. Not loading this scale factor." + ) + continue + + for idx in range(len(fields[1:])): + dst = headers[idx].strip() + try: + dst_process = LogicProcess(dst) + factor = float(fields[1 + idx]) + self.scale_factors[src_process][dst_process] = factor + except ValueError as e: + log.debug( + f"Destination process {dst} not supported by ACT. Not loading this scale factor." + ) + + def get_scale_factor(self, src, dst): + """Get the power scale factor between two processes. + + Args: + src (LogicProcess): Source process node. + dst (LogicProcess): Destination process node. + + Returns: + float: Scale factor for power consumption. + """ + # don't scale if the src or dst process is NA + if src in NOT_SCALING_PROCESSES or dst in NOT_SCALING_PROCESSES: + return 1.0 + + factor = self.scale_factors[src][dst] + if factor == UNKNOWN: # don't scale if the factor is known + return 1.0 + else: + return self.scale_factors[src][dst] + + def is_process_supported(self, process): + """Check if a process is supported by the scaling model. + + Args: + process (LogicProcess): The process to check. + + Returns: + bool: True if the process is supported. + """ + return process in self.scale_factors diff --git a/core/scaling/scaling_config.py b/core/scaling/scaling_config.py new file mode 100644 index 0000000..149cb68 --- /dev/null +++ b/core/scaling/scaling_config.py @@ -0,0 +1,68 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import dataclass, field + +from act.core.processes import DRAMProcess, HDDProcess, LogicProcess, SSDProcess +from act.core.utils.logger import log + + +@dataclass +class ScalingEntry: + """Configuration entry for scaling a single device. + + Attributes: + process (str): Target technology node to scale to. + year (int): Target year for carbon intensity scaling. + location (str): Target fabrication location to scale to. + """ + + process: str = None # target technology node to scale to + year: int = None # target year for CI to scale to + location: str = None # target fabrication location to scale to + + def __post_init__(self): + # attempt to cast the target process if it's specified + if self.process is not None: + _process = None + for Enum in [LogicProcess, DRAMProcess, SSDProcess, HDDProcess]: + try: + _process = Enum(self.process) + except ValueError: + continue + if _process is None: + log.critical( + f"Technology scaling file could not load a target process {self.process}. Ensure the process is correct and exists." + ) + self.process = _process + + +@dataclass +class ScalingConfig: + """Configuration for scaling multiple devices. + + Attributes: + name (str): Name of the scaling configuration. + compatible_with (list): List of compatible BOM names. + scaling_paths (dict): Dictionary mapping device names to ScalingEntry objects. + macros (dict): Macro definitions for YAML processing. + """ + + name: str + compatible_with: list = field(default_factory=list) + scaling_paths: dict = field(default_factory=dict) + macros: dict = field(default_factory=dict) + + def __post_init__(self): + # load the + if type(self.compatible_with) is not list: + self.compatible_with = [self.compatible_with] + + # load the scaling configurations + _scaling_paths = dict() + for path, data in self.scaling_paths.items(): + _scaling_paths[path] = ScalingEntry(**data) + self.scaling_paths = _scaling_paths diff --git a/core/scaling/tech_scaling_manager.py b/core/scaling/tech_scaling_manager.py new file mode 100644 index 0000000..5e84f4d --- /dev/null +++ b/core/scaling/tech_scaling_manager.py @@ -0,0 +1,171 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from copy import deepcopy + +from act.core.carbon import Carbon, SourceType +from act.core.common import ModelType +from act.core.processes import ( + DRAMProcess, + HDDProcess, + LOGIC_DATA, + LogicProcess, + NOT_SCALING_PROCESSES, + SSDProcess, +) +from act.core.scaling.power_scaling_model import PowerScalingModel +from act.core.utils.logger import log +from act.core.utils.units import g + + +class TechScalingManager: + """Manager for applying technology scaling to carbon analysis. + + This class handles scaling of power consumption and embodied carbon + when projecting devices to different technology nodes. + + Attributes: + power_scaling_model (PowerScalingModel): Model for power scaling factors. + """ + + def __init__(self): + """Initialize the Technology Scaling Manager.""" + self.power_scaling_model = PowerScalingModel() + + def apply_power_scaling(self, bom, scaling_config): + """Apply power technology scaling to devices in the BOM. + + Must be applied prior to carbon analysis. + + Args: + bom (BOM): The bill of materials to modify. + scaling_config (ScalingConfig): Configuration specifying target processes. + """ + + # for each device that matches in the tech scaling config path, override the process with the specified one + if scaling_config is None: + return + + for dname, dev in bom.devices.items(): + for path, data in scaling_config.scaling_paths.items(): + if data.process is None or not dname.startswith(path): + continue + dst_process = data.process + src_process = dev.process + + if not isinstance(src_process, type(dst_process)): + log.warning( + f"Attempted to scale device {dname} which has original process {src_process} to new process {dst_process}. Scaling will not be applied as these process types are incompatible." + ) + continue + + # apply the power scaling factor only if the model is logic or AP since those are the only ones we have power scaling factors for + if isinstance(dev.process, LogicProcess): + scale_factor = self.power_scaling_model.get_scale_factor( + src=src_process, dst=dst_process + ) + assert scale_factor > 0 + dev.power *= scale_factor + + def apply_tech_scaling(self, act): + """Apply technology scaling to embodied carbon results. + + Must be applied after carbon analysis since it modifies results. + + Args: + act (ACTModel): The ACT model with completed analysis. + """ + + act_results = act.results + bom = act.bom + logic_model = act.logic_model + dram_model = act.dram_model + ssd_model = act.ssd_model + hdd_model = act.hdd_model + scaling_config = act.scaling_config + + # for each device that matches in the tech scaling config path, override the process with the specified one + if scaling_config is None: + return + + # only apply technology scaling to the silicon devices as scaling for other devices is ill-defined + for dname in act_results.carbon_by_device: + for path, data in scaling_config.scaling_paths.items(): + if data.process is None or not dname.startswith(path): + continue + + dst_process = data.process + dev = bom.devices[dname] + model = dev.model + src_process = dev.process + + if not isinstance(src_process, type(dst_process)): + log.warning( + f"Attempted to scale device {dname} which has original process {src_process} to new process {dst_process}. Scaling will not be applied as these process types are incompatible." + ) + continue + elif ( + src_process in NOT_SCALING_PROCESSES + or dst_process in NOT_SCALING_PROCESSES + ): + continue # don't scale if process is NA + + # if this is a logic process, the die area needs to also be scaled + if isinstance(src_process, LogicProcess): + area_scale_factor = ( + LOGIC_DATA[dst_process].size / LOGIC_DATA[src_process].size + ) ** 2 + + # for logic carbon, call logic model since there are other partials + if model is ModelType.LOGIC: + scaled_dev = deepcopy(dev) + scaled_dev.process = dst_process + scaled_area = dev.area * area_scale_factor + scaled_dev.area = scaled_area + scaled_carbon = logic_model.get_carbon(scaled_dev) + # for manual models, the area is not provided so just directly scale + elif model is ModelType.MANUAL: + scaled_carbon = ( + Carbon(dev.carbon, dev.ctype) * area_scale_factor + ) + + else: + raise NotImplementedError( + f"Model type {model} does not have a technology scaling calculation." + ) + + act_results.carbon_by_device[dname].set_partials(scaled_carbon) + else: + if isinstance(src_process, DRAMProcess): + scale_factor = ( + dram_model.fab_model[dst_process] + / dram_model.fab_model[src_process] + ) + elif isinstance(src_process, HDDProcess): + scale_factor = ( + hdd_model.fab_model[dst_process] + / hdd_model.fab_model[src_process] + ) + elif isinstance(src_process, SSDProcess): + scale_factor = ( + ssd_model.fab_model[dst_process] + / ssd_model.fab_model[src_process] + ) + else: + raise TypeError( + f"Unsupported scaling process type {src_process} with type {type(src_process)}." + ) + + # only scale the fabrication cost as the IC packaging cost model is currently orthogonal + unscaled_carbon = act_results.carbon_by_device[dname].partial( + SourceType.FABRICATION + ) + + if unscaled_carbon > 0 * g: + scaled_carbon = unscaled_carbon * scale_factor + act_results.carbon_by_device[dname].set_partial( + ctype=SourceType.FABRICATION, amt=scaled_carbon + ) diff --git a/core/utils/__init__.py b/core/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/utils/arg_parser.py b/core/utils/arg_parser.py new file mode 100644 index 0000000..5ac47fc --- /dev/null +++ b/core/utils/arg_parser.py @@ -0,0 +1,187 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import argparse + +from act.core.common import AbatementLevel, DEFAULT_BUILD_YEAR +from act.core.models.ci_model import DEFAULT_OP_LOCATION +from act.core.utils.units import units + + +def get_parser(): + """Create and configure the argument parser for ACT. + + Returns: + argparse.ArgumentParser: Configured argument parser for ACT CLI. + """ + parser = argparse.ArgumentParser(description="ACT carbon modeling tool.") + + # operational CL args + add_op_args(parser) + + parser.add_argument( + "-o", + "--out-dir", + type=str, + default=None, + help="Output directory for result files", + ) + + # either a bill of materials file or intermediate result must be specified + group = parser.add_mutually_exclusive_group(required=True) + group.add_argument( + "-m", + "--materials", + type=str, + default=None, + help="Bill of materials list file to add to the total emissions cost.", + ) + group.add_argument( + "--export-template", + type=str, + default=None, + help="Exports a spreadsheet template for a bill of materials for the user to fill out.", + ) + + parser.add_argument( + "-D", + "--macros", + default="", + nargs="*", + type=str, + help='Preprocessor macro definitions. Must be defined as a series of VAR_NAME=STRING SUBSTITUTION. So -D X_VAR="x value" Y_VAR="y_value", etc. Command line macros will override any macros provided in the yaml files.', + ) + + parser.add_argument( + "--test", action="store_true", help="Enables test flag to disable symlinks" + ) + + parser.add_argument( + "--gpa", + type=int, + default=97, + help=f"Gasses abatement percentage level for gasses per area parameter. Options: {[x.value for x in AbatementLevel]}", + ) + + parser.add_argument( + "--scaling-config", + type=str, + default=None, + help="A scaling configuration file to specify the target processes and CI for different devices in the system. See configs/* for examples of how to specify scaling targets.", + ) + + # telemetry args + parser.add_argument( + "-l", + "--loglevel", + type=str, + default="info", + help="Log level to report messages and telemetry.", + ) + + parser.add_argument( + "--export-file", type=str, default=None, help="Output file for results from ACT" + ) + + parser.add_argument( + "--no-dashboard", + action="store_true", + help="Suppress dashboard asset generation.", + ) + + parser.add_argument( + "--dse", + action="store_true", + default=False, + help="Runs the design space exploration analysis. Disabled by default to minimize run time.", + ) + + parser.add_argument( + "--legacy", + action="store_true", + default=False, + help="Run the legacy ACT v1 models where relevant to reproduce older results.", + ) + + return parser + + +def add_op_args(parser): + """Add operational arguments to the parser. + + Args: + parser (argparse.ArgumentParser): The parser to add arguments to. + """ + # operational args + parser.add_argument( + "--op-power", + default=None, + type=str, + nargs="+", + help="Device operating power. Must have units of power (ex. 100mW, 10W etc.).", + ) + + parser.add_argument( + "--op-ci", + default=None, + type=str, + help=f"Carbon intensity configuration for device operation. By default will use {DEFAULT_OP_LOCATION}.", + ) + + parser.add_argument( + "--op-year", + default=DEFAULT_BUILD_YEAR, + type=int, + help=f"The operating year of the device for the purpose of calculating operational CI. Defaults to {DEFAULT_BUILD_YEAR}", + ) + + parser.add_argument( + "--duty-cycle", + type=float, + default=None, + help="Device duty cycle as a fraction from 0 to 1 which calculates the OPERATION energy cost.", + ) + + parser.add_argument( + "--life-cycle", + type=str, + nargs="+", + default=None, + help="The estimated device life_cycle before it will be replaced. (ex., 2 years, 15 days).", + ) + + +def get_clean_args(args): + """Process and clean parsed arguments into model and query argument dicts. + + Args: + args (argparse.Namespace): Parsed command line arguments. + + Returns: + tuple[dict, dict]: Tuple of (model_args, query_args) dictionaries. + """ + op_power = units(" ".join(args.op_power)) if args.op_power is not None else None + op_ci = args.op_ci if args.op_ci is not None else None + + model_args = { + "out_dir": args.out_dir, + "test": args.test, + "scaling_file": args.scaling_config, + "use_legacy": args.legacy, + } + + query_args = { + "op_ci": op_ci, + "op_power": op_power, + "op_year": args.op_year, + "duty_cycle": args.duty_cycle, + "life_cycle": units(" ".join(args.life_cycle)) + if args.life_cycle is not None + else None, + "export_file": args.export_file, + } + + return model_args, query_args diff --git a/core/utils/import_utils.py b/core/utils/import_utils.py new file mode 100644 index 0000000..3fef117 --- /dev/null +++ b/core/utils/import_utils.py @@ -0,0 +1,51 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import importlib +import pkgutil + + +def import_submodules(module, path_exclusions=None): + """Import all submodules of a module recursively. + + Args: + module: The parent module to import submodules from. + path_exclusions (list[str]): Optional list of module path prefixes to exclude. + + Returns: + list: List of imported module objects. + """ + _path_exclusions = path_exclusions if path_exclusions is not None else [] + + imported_modules = [] + for _, module_name, _ in pkgutil.walk_packages( + module.__path__, module.__name__ + "." + ): + if any(module_name.startswith(exclusion) for exclusion in _path_exclusions): + continue + module = importlib.import_module(module_name) + imported_modules.append(module) + + # import all the module attributes which should pick up classes + for attribute_name in dir(module): + if not attribute_name.startswith("__"): + globals()[attribute_name] = getattr(module, attribute_name) + + return imported_modules + + +def all_subclasses(cls): + """Recursively find all subclasses of a given class. + + Args: + cls: The parent class to find subclasses of. + + Returns: + set: Set of all subclass types. + """ + return set(cls.__subclasses__()).union( + [s for c in cls.__subclasses__() for s in all_subclasses(c)] + ) diff --git a/core/utils/load_yaml_with_macros.py b/core/utils/load_yaml_with_macros.py new file mode 100644 index 0000000..a42cb72 --- /dev/null +++ b/core/utils/load_yaml_with_macros.py @@ -0,0 +1,361 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import os +import re + +import pint +import yaml +from act.core.common import MACROS +from act.core.utils.logger import log + +MACRO_DELIMITER = "=" + +# PROHIBITED_OPERATORS: The set of operators that are forbidden in expressions +PROHIBITED_OPERATORS = {"//", "+", "*", "-", "/", "%", "**"} + + +def parse_macros(macro_clauses: str): + cl_macros = {} + for clause in macro_clauses: + tokens = clause.split(MACRO_DELIMITER) + assert len(tokens) == 2, ( + f"Macro tokens must take format var=text. Got {clause}." + ) + var, text = tokens[0], tokens[1] + cl_macros[var] = text + return cl_macros + + +def load_yaml_with_macros( + target_file: str, cl_macros: dict = None, out_dir: str = None, delete_macros=False +): # noqa: C901 + """Load the yaml data from the target file and apply macros + + Args: + target_file(str): The target file to + cl_macros(dict): Command line macros to apply to this file + out_dir(str): The location to write out the preprocessed yaml file + + Returns: A dict of the yaml data with macro preprocessed and substituted + + """ + + # default to empty cl macros if none are provided + if cl_macros is None: + cl_macros = {} + + # if the cl macro is defined but it's empty, explicitly force empty string + for macro, value in cl_macros.items(): + if value is None: + cl_macros[macro] = '""' + + with open(target_file) as handle: + yaml_str = handle.read() + # This YAML may contain key duplicates due to macros that haven't been applied yet (e.g. #if/#else) + yaml_data = yaml.load(yaml_str, Loader=yaml.FullLoader) + + # check to make sure there's something actually in the loaded yaml file + if yaml_data is None or len(yaml_data) == 0: + log.error( + f"Error: The loaded yaml file {yaml_str} is empty and therefore not valid. Please fix this before continuing." + ) + exit(-1) + + # apply macros before parsing the yaml data + macros = yaml_data[MACROS] if MACROS in yaml_data else {} + for macro, value in macros.items(): + if value is None: + macros[macro] = '""' + macros = {k: str(v) for k, v in macros.items()} # cast all value to string + macros.update(cl_macros) # override with cl_macros if there is aliasing + rewritten_yaml = apply_macros(target=yaml_str, macros=macros) + + # check the file for any macros which did not get bound properly and make them blank as per standard cpp preprocessing behavior + unbound_macros = re.findall(r"\$\(.*?\)", rewritten_yaml) + + if len(unbound_macros) > 0: + for unbound in unbound_macros: + log.warn( + f"In {target_file}, macro {unbound} was not bound. Using a blank default value. If this is not expected, please fix these by defining the macro value." + ) + rewritten_yaml = rewritten_yaml.replace(unbound, '""') + + # always preprocess with if else def + preprocessed_yaml = apply_ifdef(rewritten_yaml, target_file) + + # reload the yaml data with the macro overrides + try: + yaml_data = yaml.load( + preprocessed_yaml, Loader=yaml.FullLoader + ) # ensure no duplicate keys + yaml_data[MACROS] = ( + macros # override with updates so that the preprocessed file reflects the updated macros + ) + except ValueError as e: + log.error(f"File with dupe key: {target_file}\n\texception: {e}") + exit(-1) + + # write out the preprocessed files to inspection if the out directory is not None + if out_dir is not None and out_dir != "": + preprocessed_file = os.path.basename(target_file) + with open(out_dir + "/" + preprocessed_file, "w") as handle: + yaml.dump(yaml_data, handle) + + if delete_macros: + del yaml_data[MACROS] + + return yaml_data + + +def apply_macros(target: str, macros: dict): + """Applies macros to the target string and returns the target string with string substitutions. + + Args: + target_file(str): The target file to copy out and replace macros for + macros(dict): The top level macros that are passed from command line + + Returns: The rewritten file name of the preprocessed files + + """ + + # apply all macro substitutions + for var, text in macros.items(): + var_target = "$(" + str(var) + ")" + target = target.replace(var_target, str(text)) + + return target + + +# Helper function to check for forbidden operators +def check_forbidden_operators(content_str: str, target_file: str, line_num: int): + """ + Checks for the presence of forbidden operators in a given string and logs an error if any are found. + + Args: + content_str (str): The string content to check for forbidden operators. + target_file (str): The name of the file being processed, used for logging purposes. + line_num (int): The line number in the file where the content is located, used for logging purposes. + """ + for op in PROHIBITED_OPERATORS: + if op in content_str: + # Log error to stderr and exit + log.error( + f"Error: Forbidden operator '{op}' found in expression in {target_file} at line {line_num}: '{content_str}'" + ) + exit(-1) # Exit script with status -1 + + +# Helper function to safely evaluate the expression +def safe_eval(expression_str: str, target_file: str, line_num: int): + """ + Evaluates a string expression with pint units using eval(). + Expression can also include pint units + """ + check_forbidden_operators( + expression_str, target_file, line_num + ) # Exits if forbidden + + # Find and replace all units + pattern = re.compile(r"(\d+(?:\.\d+)?)\s+(\w+)") + + # Replacement function: uses pint.Quantity constructor + def replacer(match_obj): + number = match_obj.group(1) + unit = match_obj.group(2) + return f"Quantity({number}, '{unit}')" + + preprocessed_string = pattern.sub(replacer, expression_str) + + # Prepare context for eval() + eval_globals = {"__builtins__": {}} + eval_locals = { + "Quantity": pint.Quantity, + "True": True, + "False": False, + "None": None, + } + + # Evaluate the preprocessed string + try: + result = eval(preprocessed_string, eval_globals, eval_locals) + return bool(result) + except ValueError as e: + log.error( + f"Cannot eval expression in {target_file} at line {line_num}: '{expression_str}'. Error: {e}." + ) + exit(-1) # Exit script with status -1 + + +def apply_ifdef(input_text: str, target_file: str) -> str: # noqa: C901 + """ + NOTE(amrsuleiman): This function is generated mostly by AI + + Preprocesses text (like YAML) with C-style directives. Directive matching + is CASE-SENSITIVE and requires NO SPACE between '#' and the directive + (e.g., '#if' is valid, '# if' is ignored). Uses word boundaries (\b). + Treats #ifdef IDENTICAL to #if, and #ifndef as the logical negation of #if. + Uses Python's eval() for lowercase #if/#ifdef/#ifndef/#elif conditions WITHOUT + external context, and errors/exits if specific arithmetic operators + (+, *, -, /, %, **, //) are found. + + Evaluation Rules: + - lowercase #if/#ifdef/#ifndef/#elif EXPRESSION (NO space after #): Uses full + evaluation pipeline (quote strip, operator check(exit), ast check, eval) + common logic. #ifndef negates result. + - Other lines (including '# if', '#IF', comments): Treated as regular text, + output only if the current conditional block is active. + + Args: + input_text: The string containing the text to preprocess. + + Returns: + The preprocessed text as a string (if no forbidden operators cause exit). + + Raises: + ValueError: For syntax errors like mismatched directives (but not for operators). + """ + + # Regex to find directives and their arguments + directive_re = re.compile( + r"^\s*#(ifdef\b|ifndef\b|if\b|elif\b|else\b|endif\b)\s*(.*)" + ) + + lines = input_text.splitlines() + output_lines = [] + + # State stack: Each element is a tuple: (is_block_currently_active, was_if_or_elif_true_in_block) + stack = [(True, False)] # Base level: always active, no condition met yet + + for i, line in enumerate(lines): + match = directive_re.match(line) + + if match: + directive = match.group(1).lower() + expression_str_raw = match.group(2).strip() + line_num = i + 1 + + # Helper function to get the effective string content + def get_effective_content(raw_str: str) -> str: + content = raw_str + if len(content) >= 2: + if content.startswith('"') and content.endswith('"'): + content = content[1:-1] + elif content.startswith("'") and content.endswith("'"): + content = content[1:-1] + return content + + parent_allows_activity, _ = stack[-1] + + # Directive Processing Logic + + if directive in ("if", "ifdef", "ifndef"): + # Consolidate evaluation logic for if/ifdef/ifndef's base condition + base_result = False # Default to False + effective_content = get_effective_content(expression_str_raw) + is_content_empty = not bool(effective_content) + + if is_content_empty: + # Empty content means False for the base condition + if directive in ( + "if", + "ifdef", + ): # Only warn if empty directly means False + log.warning( + f"Warning: #ifdef has empty effective content in {target_file} at line {line_num} ('{expression_str_raw}')" + ) + base_result = False + else: + # Apply full evaluation pipeline + base_result = safe_eval(effective_content, target_file, line_num) + # End evaluation pipeline + + # Final result calculation (negate for #ifndef) + final_result = False + if directive == "ifndef": + final_result = not base_result + else: # for #if and #ifdef + final_result = base_result + + # Push state + is_active = parent_allows_activity and final_result + # For the stack, store the state based on the *final* result, + # but the 'condition_already_met' flag should reflect if *any* if/elif + # in the block evaluated to true based on its *own* logic (before negation for ifndef). + # However, since if/ifdef/ifndef start a new block, the prior 'condition_met' + # doesn't matter for this push. The pushed 'condition_met' should be based + # on the final_result to correctly control subsequent elif/else. + stack.append((is_active, final_result)) + + elif directive == "elif": + # ELIF Logic (remains mostly the same, uses eval) + if len(stack) <= 1: + raise ValueError( + f"Syntax error: #elif without matching #if/#ifdef/#ifndef in {target_file} at line {line_num}" + ) + + _, condition_already_met = stack[-1] + parent_allows_activity, _ = stack[-2] + + result = False # Default for elif + if parent_allows_activity and not condition_already_met: + # Evaluate elif condition only if allowed and block condition not yet met + effective_content = get_effective_content(expression_str_raw) + is_content_empty = not bool(effective_content) + + if is_content_empty: + log.warning( + f"Warning: #elif has empty effective content in {target_file} at line {line_num} ('{expression_str_raw}')" + ) + result = False + else: + result = safe_eval(effective_content, target_file, line_num) + # else: if parent not active or condition met, result remains False + + # Update elif state + is_active = parent_allows_activity and result + # Mark condition as met if it wasn't already and the current result is True + new_condition_met = condition_already_met or result + stack[-1] = (is_active, new_condition_met) + + elif directive == "else": + # ELSE Logic (remains the same) + if len(stack) <= 1: + raise ValueError( + f"Syntax error: #else without matching #if/#ifdef/#ifndef in {target_file} at line {line_num}" + ) + if expression_str_raw: + log.warning( + f"Warning: Expression ignored for #else directive in {target_file} at line {line_num}: '{expression_str_raw}'" + ) + + _, condition_already_met = stack[-1] + parent_allows_activity, _ = stack[-2] + + # Activate else only if parent allows and condition wasn't already met + is_active = parent_allows_activity and not condition_already_met + # Update state: block is now active (if conditions met), condition is now definitely met + stack[-1] = (is_active, True) + + elif directive == "endif": + # ENDIF Logic (remains the same) + if len(stack) <= 1: + raise ValueError( + f"Syntax error: Unmatched #endif in {target_file} at line {line_num}" + ) + stack.pop() + + else: # Regular line + current_block_active, _ = stack[-1] + if current_block_active: + output_lines.append(line) + + if len(stack) > 1: + raise ValueError( + f"Syntax error: Unterminated #if/#ifdef/#ifndef block(s) at end of input in {target_file}" + ) + + return "\n".join(output_lines) diff --git a/core/utils/logger.py b/core/utils/logger.py new file mode 100644 index 0000000..706ea49 --- /dev/null +++ b/core/utils/logger.py @@ -0,0 +1,97 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import logging +import sys + + +class ACTFormatter(logging.Formatter): + """Custom log formatter for ACT with colored output. + + Provides color-coded log messages based on severity level. + """ + + # Color escape codes + grey = "\x1b[38;20m" + yellow = "\x1b[33;20m" + green = "\033[92m" + cyan = "\033[96m" + red = "\x1b[31;20m" + bold_white = "\033[1m" + bold_red = "\x1b[31;1m" + reset = "\x1b[0m" + + # Format strings for log levels + prefix = "[%(module)24s - " + postfix = " %(message)s" + level_formats = { + logging.DEBUG: prefix + f"{green}%(levelname)s{reset}]" + postfix, + logging.INFO: prefix + f"{bold_white}%(levelname)s{reset}]" + postfix, + logging.WARNING: prefix + f"{yellow}%(levelname)s{reset}]" + postfix, + logging.ERROR: prefix + f"{red}%(levelname)s{reset}]" + postfix, + logging.CRITICAL: prefix + f"{bold_red}%(levelname)s{reset}]" + postfix, + } + + def format(self, record): + """Format a log record with appropriate color coding. + + Args: + record (logging.LogRecord): The log record to format. + + Returns: + str: Formatted log message with color codes. + """ + level_format = self.level_formats.get(record.levelno) + formatter = logging.Formatter(level_format) + return formatter.format(record) + + +def clear_handlers(): + """Remove all non-StreamHandler handlers from the ACT logger.""" + for h in logging.getLogger("ACT").handlers: + # don't remove the streamhandler to stdout (there are problems if it's + # removed and re-added later) + if isinstance(h, logging.StreamHandler): + continue + # remove any other handlers + else: + logging.getLogger("ACT").removeHandler(h) + h.close() + + +def setup_logger(file_name=None, loglevel=None): + """Set up the ACT logger with optional file output. + + Args: + file_name (str): Optional path to log file. + loglevel (int): Optional logging level (e.g., logging.DEBUG). + """ + # Create ACT logger ... disambiguate from global root logger + logger = logging.getLogger("ACT") + logger.propagate = False # prevent duplicate output + if loglevel is not None: + logger.setLevel(loglevel) + + # Formatter to be associated with all output handlers + formatter = ACTFormatter() + + # Add handlers (log output destinations) + new_handlers = [] + # Insert a streamhandler to stdout, if one doesn't exist already + # (we want at most 1 handler to stdout) + current_handlers = logging.getLogger("ACT").handlers + if not any([isinstance(h, logging.StreamHandler) for h in current_handlers]): + new_handlers.append(logging.StreamHandler(sys.stdout)) + # Add any handlers to log files + if file_name is not None: + new_handlers.append(logging.FileHandler(file_name, "w", "utf-8")) + # Apply ACT formatting + for h in new_handlers: + h.setFormatter(formatter) + logger.addHandler(h) + + +log = logging.getLogger("ACT") diff --git a/core/utils/spreadsheet.py b/core/utils/spreadsheet.py new file mode 100644 index 0000000..2d83810 --- /dev/null +++ b/core/utils/spreadsheet.py @@ -0,0 +1,168 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import fields + +from act.core.bom import BOM, DeviceData +from act.core.utils.logger import log +from openpyxl import load_workbook, Workbook +from openpyxl.utils import get_column_letter + +OVERVIEW_SHEET = "Overview" +BOM_SHEET = "Bill of Materials" +NAME = "name" +XLSX_EXTENSION = ".xlsx" + +EXCEPTED_OVERVIEW_FIELDS = [ + "macros", + "devices", + "imports", + "file", + "cl_macros", + "expected_carbon", +] + + +class Spreadsheet: + """Utility class for importing/exporting BOM data to Excel spreadsheets. + + Attributes: + filepath (str): Path to the spreadsheet file. + bom_fields (list): List of BOM field names. + device_fields (list): List of DeviceData field names. + """ + + def __init__(self, filepath: str): + """Initialize the Spreadsheet utility. + + Args: + filepath (str): Path to the spreadsheet file. + """ + self.filepath = filepath + + # instantiate and get the fields + self.bom_inst = BOM() + self.bom_fields = [f.name for f in fields(self.bom_inst)] + + self.device_inst = DeviceData() + self.device_fields = [f.name for f in fields(self.device_inst)] + + def export_template(self): + """Export a template spreadsheet for users to fill in BOM data. + + Creates an Excel file with Overview and Bill of Materials sheets + containing the appropriate field headers. + """ + + if not self.filepath.endswith(XLSX_EXTENSION): + self.filepath = self.filepath + XLSX_EXTENSION + + # generate a template spreadsheet + wb = Workbook() + ws = wb.active + wb.remove(ws) + + overview_ws = wb.create_sheet(OVERVIEW_SHEET) + bom_ws = wb.create_sheet(BOM_SHEET) + + row_idx = 1 + for i, field in enumerate(self.bom_fields, start=1): + if field in EXCEPTED_OVERVIEW_FIELDS: + continue + field_cell = overview_ws.cell(row=row_idx, column=1) + field_cell.value = field + row_idx += 1 + + # set the column widths + overview_ws.column_dimensions[get_column_letter(1)].width = 25 + overview_ws.column_dimensions[get_column_letter(2)].width = 50 + + # generate the bill of materials template sheet + name_cell = bom_ws.cell(row=1, column=1) + bom_ws.column_dimensions[get_column_letter(1)].width = 40 + name_cell.value = NAME + for i, field in enumerate(self.device_fields, start=2): + field_cell = bom_ws.cell(row=1, column=i) + field_cell.value = field + + bom_ws.column_dimensions[get_column_letter(i)].width = 10 + + # export the template spreadsheet + wb.save(self.filepath) + + def import_bom(self): + """Import BOM data from a spreadsheet. + + Returns: + BOM: A BOM object populated with data from the spreadsheet. + """ + if not self.filepath.endswith(XLSX_EXTENSION): + log.warning( + f"Attempting to open spreadsheet without proper {XLSX_EXTENSION} extension. Ensure that the target file is correct." + ) + + wb = load_workbook(self.filepath) + overview_ws = wb[OVERVIEW_SHEET] + bom_ws = wb[BOM_SHEET] + + bom_data = dict() + + # load the bill of materials fields from the overview worksheet + num_bom_rows = bom_ws.max_row + for i in range(num_bom_rows): + ws_idx = i + 1 # spreadsheet is 1 indexed + name_cell = overview_ws.cell(row=ws_idx, column=1) + value_cell = overview_ws.cell(row=ws_idx, column=2) + + name = name_cell.value + value = value_cell.value + + if name not in self.bom_fields: + log.error( + f"Attempted to load unknown field {name} from row {ws_idx} from {OVERVIEW_SHEET} sheet. This field will be ignored." + ) + elif value == "" or value is None: + bom_data[name] = None + else: + bom_data[name] = value + + # load the device data from the bill of materials sheet + num_device_rows = bom_ws.max_row + num_device_cols = bom_ws.max_column + + # extract the header fields for more efficient processing + headers = dict() + for i in range(0, num_device_cols): + header_cell = bom_ws.cell(row=1, column=i + 1) + header_value = header_cell.value + headers[i + 1] = header_value + + devices = dict() + for i in range(1, num_device_rows): # first row is header fields + row_idx = i + 1 # spreadsheet is 1 indexed + device_dict = dict() + name = bom_ws.cell(row=row_idx, column=1).value # name is required + + # extract the values out of each of the column entries + for j in range(1, num_device_cols): + col_idx = j + 1 + + cell = bom_ws.cell(row=row_idx, column=col_idx) + field = headers[col_idx] + device_dict[field] = cell.value + + # the name field must be specified + if name is None or name == "": + log.error( + f"Device name for bill of materials entry {row_idx} does not have a name (i.e., it's empty). A name field is required to load this device. Ignoring this entry." + ) + else: + devices[name] = device_dict + # construct the bill of material data structure from loaded spreadsehet + bom_data.update(devices=devices) + bom = BOM(**bom_data) + + return bom diff --git a/act/core/units.py b/core/utils/units.py similarity index 77% rename from act/core/units.py rename to core/utils/units.py index c741229..fa47d1a 100644 --- a/act/core/units.py +++ b/core/utils/units.py @@ -1,6 +1,7 @@ # Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the +# All rights reserved. +# +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. """ @@ -17,9 +18,32 @@ import pint -units = pint.UnitRegistry() + +def uformat(quant: pint.Quantity, base_unit=None): + """Format a pint Quantity for pretty printing. + + Args: + quant (pint.Quantity): The quantity to format. + base_unit: Optional base unit to convert to before formatting. + + Returns: + str: Formatted string representation of the quantity. + """ + if quant is None: + return "None" + _quant = quant.to_base_units() if base_unit is None else quant.to(base_unit) + cquant = _quant.to_compact() + return "%.2f " % cquant.m + format(cquant.units, "~") + + +# pint's tokenizer strips "$", so a "$" unit alias can never match. Rewrite it to +# "USD" before parsing so BOMs can express costs as e.g. "50 $". +units = pint.UnitRegistry(preprocessors=[lambda s: s.replace("$", " USD")]) pint.set_application_registry(units) # required for multiprocessing +# kilo default prefix is "k" so also add "K" for quality of life +units.define("K- = 1e3") + # Time units fs = units("femtosecond") ps = units("picosecond") @@ -27,7 +51,7 @@ us = units("microsecond") ms = units("millisecond") s = units("second") -minute = units("minute") +minute = units("minute") # Can't be min because it onverrides built in min hour = units("hour") hr = hour day = units("day") @@ -43,7 +67,7 @@ mW = units("milliwatt") W = units("watt") KW = units("kilowatt") -MW = units("megawatt") +MW = units("megawatt") # we better not have to use anything below here GW = units("gigawatt") TW = units("terawatt") @@ -55,7 +79,7 @@ mJ = units("millijoule") J = units("joule") KJ = units("kilojoule") -MJ = units("megajoule") +MJ = units("megajoule") # we better not have to use anything below here GJ = units("gigajoule") TJ = units("terajoule") @@ -66,8 +90,10 @@ kWh = units("kilowatt hour") # Memory units +units.define("b = bit") bit = units("bit") byte = units("byte") +B = byte Kb = units("kilobit") KB = units("kilobyte") KiB = units("kibibyte") @@ -185,7 +211,7 @@ A = units("amp") KA = units("kiloamp") MA = units("megaamp") -GA = units("gigaamp") +GA = units("gigaamp") # I hope we never have to use this unit # temperature C = units("degC") @@ -209,6 +235,14 @@ Mton = 1000000 * ton # distance +nm = units("nanometer") +um = units("micrometer") +mm = units("millimeter") +cm = units("centimeter") m = units("meter") km = units("kilometer") mi = units("mile") + +# cost +units.define("USD = [currency] = dollar") +dollar = units("USD") diff --git a/core/utils/utils.py b/core/utils/utils.py new file mode 100644 index 0000000..2fdd33c --- /dev/null +++ b/core/utils/utils.py @@ -0,0 +1,110 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import DEFAULT_DUTY_CYCLE, DEFAULT_LIFE_CYCLE, DEFAULT_OP_YEAR +from act.core.models.ci_model import DEFAULT_OP_LOCATION +from act.core.utils.logger import log +from act.core.utils.units import mW + + +def resolve_op_power(cl_op_power, bom): + """Resolve operating power from command line or BOM. + + Args: + cl_op_power (pint.Quantity): Command line operating power. + bom (BOM): Bill of materials. + + Returns: + pint.Quantity: Resolved operating power. + """ + # resolve the operating power + if cl_op_power is not None: + _op_power = cl_op_power + elif bom.op_power is not None: + _op_power = bom.op_power + else: + log.warning( + "No operating power was specified. Using zero power which will result in zero operational carbon cost. If this is not intended, please specify an operating power in the BOM, API, or CL args." + ) + _op_power = 0 * mW + return _op_power + + +def resolve_op_ci(cl_op_ci, bom): + """Resolve operational carbon intensity from command line or BOM. + + Args: + cl_op_ci (str): Command line carbon intensity setting. + bom (BOM): Bill of materials. + + Returns: + str: Resolved carbon intensity location or source. + """ + # resolve the CI with precedence + if cl_op_ci is not None: + _op_ci = cl_op_ci + elif bom.op_ci is not None: + _op_ci = bom.op_ci + else: + _op_ci = DEFAULT_OP_LOCATION + return _op_ci + + +def resolve_duty_cycle(cl_duty_cycle, bom): + """Resolve duty cycle from command line or BOM. + + Args: + cl_duty_cycle (float): Command line duty cycle. + bom (BOM): Bill of materials. + + Returns: + float: Resolved duty cycle. + """ + if cl_duty_cycle is not None: + _duty_cycle = cl_duty_cycle + elif bom.duty_cycle is not None: + _duty_cycle = bom.duty_cycle + else: + _duty_cycle = DEFAULT_DUTY_CYCLE + return _duty_cycle + + +def resolve_life_cycle(cl_life_cycle, bom): + """Resolve life cycle from command line or BOM. + + Args: + cl_life_cycle (pint.Quantity): Command line life cycle. + bom (BOM): Bill of materials. + + Returns: + pint.Quantity: Resolved life cycle. + """ + if cl_life_cycle is not None: + _life_cycle = cl_life_cycle + elif bom.life_cycle is not None: + _life_cycle = bom.life_cycle + else: + _life_cycle = DEFAULT_LIFE_CYCLE + return _life_cycle + + +def resolve_op_year(cl_op_year, bom): + """Resolve operating year from command line or BOM. + + Args: + cl_op_year (int): Command line operating year. + bom (BOM): Bill of materials. + + Returns: + int: Resolved operating year. + """ + if cl_op_year is not None: + _op_year = cl_op_year + elif bom.op_year is not None: + _op_year = bom.op_year + else: + _op_year = DEFAULT_OP_YEAR + return _op_year diff --git a/core/utils/yield_utils.py b/core/utils/yield_utils.py new file mode 100644 index 0000000..33d3270 --- /dev/null +++ b/core/utils/yield_utils.py @@ -0,0 +1,88 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import math +from enum import auto, Enum + +from act.core.utils.logger import log +from act.core.utils.units import cm2, mm2 + +DEFAULT_DEFECT_DENSITY = 0.15 / cm2 + + +def check_args(area, density): + """Validate area and density arguments for yield calculations. + + Args: + area (pint.Quantity): Die area. + density (pint.Quantity): Defect density. + + Raises: + SystemExit: If arguments have incorrect units. + """ + if not area.check(mm2): + log.error(f"Yield area must have area units. Got {area}") + exit(-1) + if not density.check(1 / mm2): + log.error(f"Yield defect density must have units of 1 / area. Got {density}") + exit(-1) + + +class Distribution(Enum): + """Distribution types for Murphy yield model.""" + + TRIANGLE = auto() + RECT = auto() + + +def poisson_model(area, density): + """Calculate die yield using the Poisson model. + + Args: + area (pint.Quantity): Die area. + density (pint.Quantity): Defect density. + + Returns: + float: Calculated die yield. + """ + check_args(area, density) + die_yield = math.e ** (-area * density) + return die_yield + + +def murphy_model(area, density, dist=Distribution.TRIANGLE): + """Calculate die yield using the Murphy model. + + Args: + area (pint.Quantity): Die area. + density (pint.Quantity): Defect density. + dist (Distribution): Distribution type (TRIANGLE or RECT). + + Returns: + float: Calculated die yield. + """ + check_args(area, density) + _dist = Distribution(dist) + if _dist == Distribution.TRIANGLE: + die_yield = 1 - math.e ** (-area * density) / (area * density) ** 2 + else: + die_yield = (1 - math.e ** (-2 * area * density)) / (2 * area * density) + return die_yield + + +def exponential_model(area, density): + """Calculate die yield using the exponential model. + + Args: + area (pint.Quantity): Die area. + density (pint.Quantity): Defect density. + + Returns: + float: Calculated die yield. + """ + check_args(area, density) + die_yield = 1 / (1 + area * density) + return die_yield diff --git a/models/battery/battery.yaml b/models/battery/battery.yaml new file mode 100644 index 0000000..8f01137 --- /dev/null +++ b/models/battery/battery.yaml @@ -0,0 +1,17 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Battery Carbon Intensity Model +# Carbon intensity per unit capacity for lithium-ion battery cathode chemistries +# based on https://www.nature.com/articles/s41467-024-54634-y +batteries: + # nickel manganese cobalt cathode + # The data for NMC is 59-115 kg / kWh, using 87 as the midpoint + NMC: 87 kg / kWh + + # lithium iron phosphate cathode + # The data for LFP spans 54 to 69 kgCO2e kWh-1 (Fig. 3a), using 61.5 as the midpoint + LFP: 61.5 kg / kWh diff --git a/models/carbon_intensity/ember/README.md b/models/carbon_intensity/ember/README.md new file mode 100644 index 0000000..8f9bfee --- /dev/null +++ b/models/carbon_intensity/ember/README.md @@ -0,0 +1,7 @@ +# Carbon Intensity Electricity Database + +Dataset originally from https://ourworldindata.org/grapher/carbon-intensity-electricity?tab=table#reuse-this-work + +Dataset license: https://creativecommons.org/licenses/by/4.0/ + +Dataset is used with minor abbreviation alterations. (United States -> USA) diff --git a/models/carbon_intensity/ember/carbon-intensity-electricity.csv b/models/carbon_intensity/ember/carbon-intensity-electricity.csv new file mode 100644 index 0000000..67a7fea --- /dev/null +++ b/models/carbon_intensity/ember/carbon-intensity-electricity.csv @@ -0,0 +1,5738 @@ +Entity,Code,Year,Carbon intensity of electricity - gCO2/kWh +ASEAN (Ember),,2000,572.85864 +ASEAN (Ember),,2001,570.6064 +ASEAN (Ember),,2002,573.028 +ASEAN (Ember),,2003,577.3394 +ASEAN (Ember),,2004,583.91736 +ASEAN (Ember),,2005,585.559 +ASEAN (Ember),,2006,584.7877 +ASEAN (Ember),,2007,588.49133 +ASEAN (Ember),,2008,578.75305 +ASEAN (Ember),,2009,579.845 +ASEAN (Ember),,2010,584.52734 +ASEAN (Ember),,2011,578.1553 +ASEAN (Ember),,2012,576.8671 +ASEAN (Ember),,2013,573.1555 +ASEAN (Ember),,2014,579.469 +ASEAN (Ember),,2015,595.1134 +ASEAN (Ember),,2016,591.48975 +ASEAN (Ember),,2017,572.0665 +ASEAN (Ember),,2018,577.8942 +ASEAN (Ember),,2019,597.71484 +ASEAN (Ember),,2020,589.474 +ASEAN (Ember),,2021,571.4162 +ASEAN (Ember),,2022,554.26764 +ASEAN (Ember),,2023,570.0053 +ASEAN (Ember),,2024,569.94794 +Afghanistan,AFG,2000,250 +Afghanistan,AFG,2001,217.39131 +Afghanistan,AFG,2002,169.01408 +Afghanistan,AFG,2003,241.75824 +Afghanistan,AFG,2004,227.8481 +Afghanistan,AFG,2005,219.5122 +Afghanistan,AFG,2006,255.55557 +Afghanistan,AFG,2007,227.72278 +Afghanistan,AFG,2008,256.41028 +Afghanistan,AFG,2009,123.595505 +Afghanistan,AFG,2010,147.72726 +Afghanistan,AFG,2011,194.8052 +Afghanistan,AFG,2012,147.72726 +Afghanistan,AFG,2013,180.18018 +Afghanistan,AFG,2014,129.31035 +Afghanistan,AFG,2015,118.64407 +Afghanistan,AFG,2016,115.70248 +Afghanistan,AFG,2017,126.98412 +Afghanistan,AFG,2018,153.84616 +Afghanistan,AFG,2019,116.438354 +Afghanistan,AFG,2020,93.220345 +Afghanistan,AFG,2021,113.20755 +Afghanistan,AFG,2022,125 +Afghanistan,AFG,2023,123.711334 +Africa,,2000,621.1572 +Africa,,2001,619.70575 +Africa,,2002,617.13385 +Africa,,2003,625.68256 +Africa,,2004,623.8753 +Africa,,2005,625.1627 +Africa,,2006,627.5392 +Africa,,2007,627.22253 +Africa,,2008,622.0142 +Africa,,2009,614.84515 +Africa,,2010,611.5201 +Africa,,2011,610.9393 +Africa,,2012,609.4566 +Africa,,2013,604.2389 +Africa,,2014,598.4014 +Africa,,2015,597.2398 +Africa,,2016,594.6043 +Africa,,2017,588.33 +Africa,,2018,583.82495 +Africa,,2019,574.4222 +Africa,,2020,564.8341 +Africa,,2021,558.31793 +Africa,,2022,550.2502 +Africa,,2023,545.90845 +Africa (Ember),,2000,621.0892 +Africa (Ember),,2001,619.77106 +Africa (Ember),,2002,617.1748 +Africa (Ember),,2003,625.70215 +Africa (Ember),,2004,624.0234 +Africa (Ember),,2005,625.21625 +Africa (Ember),,2006,627.52216 +Africa (Ember),,2007,627.2061 +Africa (Ember),,2008,621.9981 +Africa (Ember),,2009,614.86115 +Africa (Ember),,2010,611.55725 +Africa (Ember),,2011,610.903 +Africa (Ember),,2012,609.5602 +Africa (Ember),,2013,604.3274 +Africa (Ember),,2014,598.4354 +Africa (Ember),,2015,597.3489 +Africa (Ember),,2016,594.6372 +Africa (Ember),,2017,588.38696 +Africa (Ember),,2018,583.91547 +Africa (Ember),,2019,574.5344 +Africa (Ember),,2020,564.92615 +Africa (Ember),,2021,558.42816 +Africa (Ember),,2022,550.2832 +Africa (Ember),,2023,541.35474 +Africa (Ember),,2024,542.41693 +Albania,ALB,2000,48.625793 +Albania,ALB,2001,51.490513 +Albania,ALB,2002,61.99461 +Albania,ALB,2003,36.328873 +Albania,ALB,2004,39.639637 +Albania,ALB,2005,33.39518 +Albania,ALB,2006,35.714287 +Albania,ALB,2007,42.40283 +Albania,ALB,2008,23.93617 +Albania,ALB,2009,23.076923 +Albania,ALB,2010,23.778072 +Albania,ALB,2011,33.412888 +Albania,ALB,2012,23.305086 +Albania,ALB,2013,24.425287 +Albania,ALB,2014,23.305086 +Albania,ALB,2015,23.7691 +Albania,ALB,2016,23.136248 +Albania,ALB,2017,24.28256 +Albania,ALB,2018,23.391813 +Albania,ALB,2019,23.076923 +Albania,ALB,2020,24.48211 +Albania,ALB,2021,23.489933 +Albania,ALB,2022,24.390245 +Albania,ALB,2023,24.417313 +Algeria,DZA,2000,638.58264 +Algeria,DZA,2001,638.2419 +Algeria,DZA,2002,637.9747 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Congo,COD,2016,28.291622 +Democratic Republic of Congo,COD,2017,28.183718 +Democratic Republic of Congo,COD,2018,29.878618 +Democratic Republic of Congo,COD,2019,28.262678 +Democratic Republic of Congo,COD,2020,25.579535 +Democratic Republic of Congo,COD,2021,26.038002 +Democratic Republic of Congo,COD,2022,27.397259 +Democratic Republic of Congo,COD,2023,27.044025 +Denmark,DNK,2000,627.89404 +Denmark,DNK,2001,630.7938 +Denmark,DNK,2002,618.6701 +Denmark,DNK,2003,651.51184 +Denmark,DNK,2004,581.2624 +Denmark,DNK,2005,552.66077 +Denmark,DNK,2006,635.3433 +Denmark,DNK,2007,597.0874 +Denmark,DNK,2008,577.3026 +Denmark,DNK,2009,582.89655 +Denmark,DNK,2010,540.3871 +Denmark,DNK,2011,486.47107 +Denmark,DNK,2012,431.14166 +Denmark,DNK,2013,472.40683 +Denmark,DNK,2014,400.74905 +Denmark,DNK,2015,313.75955 +Denmark,DNK,2016,360.8553 +Denmark,DNK,2017,282.8479 +Denmark,DNK,2018,296.92157 +Denmark,DNK,2019,204.29008 +Denmark,DNK,2020,188.94331 +Denmark,DNK,2021,222.96478 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Republic,DOM,2016,589.9893 +Dominican Republic,DOM,2017,550.5208 +Dominican Republic,DOM,2018,566.32654 +Dominican Republic,DOM,2019,582.7067 +Dominican Republic,DOM,2020,581.3237 +Dominican Republic,DOM,2021,558.56274 +Dominican Republic,DOM,2022,580.0631 +Dominican Republic,DOM,2023,579.3974 +Dominican Republic,DOM,2024,566.6918 +EU (Ember),,2000,419.0956 +EU (Ember),,2001,409.1615 +EU (Ember),,2002,419.65817 +EU (Ember),,2003,424.2407 +EU (Ember),,2004,412.04453 +EU (Ember),,2005,409.94046 +EU (Ember),,2006,408.7229 +EU (Ember),,2007,413.10452 +EU (Ember),,2008,392.42636 +EU (Ember),,2009,382.45203 +EU (Ember),,2010,369.40326 +EU (Ember),,2011,376.72073 +EU (Ember),,2012,371.948 +EU (Ember),,2013,357.1669 +EU (Ember),,2014,342.94556 +EU (Ember),,2015,348.39474 +EU (Ember),,2016,341.45538 +EU (Ember),,2017,340.3681 +EU (Ember),,2018,321.30505 +EU (Ember),,2019,287.34488 +EU (Ember),,2020,261.23105 +EU (Ember),,2021,272.61124 +EU (Ember),,2022,291.70627 +EU (Ember),,2023,237.48735 +EU (Ember),,2024,213.3101 +East Timor,TLS,2003,666.6667 +East Timor,TLS,2004,714.2857 +East Timor,TLS,2005,714.2857 +East Timor,TLS,2006,714.2857 +East Timor,TLS,2007,666.6666 +East Timor,TLS,2008,636.36365 +East Timor,TLS,2009,692.30774 +East Timor,TLS,2010,642.8572 +East Timor,TLS,2011,642.8572 +East Timor,TLS,2012,692.30774 +East Timor,TLS,2013,655.1724 +East Timor,TLS,2014,657.1429 +East Timor,TLS,2015,657.1429 +East Timor,TLS,2016,658.5366 +East Timor,TLS,2017,651.1628 +East Timor,TLS,2018,666.6667 +East Timor,TLS,2019,653.8462 +East Timor,TLS,2020,660 +East Timor,TLS,2021,666.6667 +East Timor,TLS,2022,666.6667 +East Timor,TLS,2023,666.6667 +Ecuador,ECU,2000,204.17856 +Ecuador,ECU,2001,254.09837 +Ecuador,ECU,2002,262.4894 +Ecuador,ECU,2003,274.39026 +Ecuador,ECU,2004,303.90625 +Ecuador,ECU,2005,327.53162 +Ecuador,ECU,2006,352.27274 +Ecuador,ECU,2007,340.28986 +Ecuador,ECU,2008,283.93726 +Ecuador,ECU,2009,349.6696 +Ecuador,ECU,2010,389.80432 +Ecuador,ECU,2011,325.5017 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+High-income countries,,2007,501.36987 +High-income countries,,2008,495.17072 +High-income countries,,2009,479.0897 +High-income countries,,2010,479.5317 +High-income countries,,2011,478.7199 +High-income countries,,2012,480.07574 +High-income countries,,2013,474.80606 +High-income countries,,2014,468.51764 +High-income countries,,2015,457.3982 +High-income countries,,2016,446.0089 +High-income countries,,2017,440.9906 +High-income countries,,2018,432.45615 +High-income countries,,2019,414.2442 +High-income countries,,2020,393.32025 +High-income countries,,2021,399.64816 +High-income countries,,2022,398.7797 +High-income countries,,2023,378.95743 +Honduras,HND,2000,263.73624 +Honduras,HND,2001,345.26855 +Honduras,HND,2002,404.81924 +Honduras,HND,2003,405.9829 +Honduras,HND,2004,455.42636 +Honduras,HND,2005,452.07956 +Honduras,HND,2006,429.53018 +Honduras,HND,2007,426.07315 +Honduras,HND,2008,421.2963 +Honduras,HND,2009,371.7201 +Honduras,HND,2010,361.1111 +Honduras,HND,2011,382.86478 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Kong,HKG,2022,682.2715 +Hong Kong,HKG,2023,681.98724 +Hungary,HUN,2000,450.9804 +Hungary,HUN,2001,439.0445 +Hungary,HUN,2002,432.36514 +Hungary,HUN,2003,468.79578 +Hungary,HUN,2004,431.32602 +Hungary,HUN,2005,382.65735 +Hungary,HUN,2006,389.95816 +Hungary,HUN,2007,385.8859 +Hungary,HUN,2008,376.06198 +Hungary,HUN,2009,343.91534 +Hungary,HUN,2010,341.0064 +Hungary,HUN,2011,341.19934 +Hungary,HUN,2012,332.75565 +Hungary,HUN,2013,317.47604 +Hungary,HUN,2014,300.10208 +Hungary,HUN,2015,299.04385 +Hungary,HUN,2016,300.1882 +Hungary,HUN,2017,290.70474 +Hungary,HUN,2018,284.5554 +Hungary,HUN,2019,266.04434 +Hungary,HUN,2020,257.4456 +Hungary,HUN,2021,238.50415 +Hungary,HUN,2022,228.89882 +Hungary,HUN,2023,196.22746 +Hungary,HUN,2024,182.81822 +Iceland,ISL,2000,26.281208 +Iceland,ISL,2001,25.125628 +Iceland,ISL,2002,26.347303 +Iceland,ISL,2003,27.251186 +Iceland,ISL,2004,26.932085 +Iceland,ISL,2005,26.713125 +Iceland,ISL,2006,27.411167 +Iceland,ISL,2007,27.754416 +Iceland,ISL,2008,26.927784 +Iceland,ISL,2009,27.528429 +Iceland,ISL,2010,27.479094 +Iceland,ISL,2011,27.299704 +Iceland,ISL,2012,27.76171 +Iceland,ISL,2013,27.793219 +Iceland,ISL,2014,28.08989 +Iceland,ISL,2015,27.493261 +Iceland,ISL,2016,27.517887 +Iceland,ISL,2017,27.26796 +Iceland,ISL,2018,28.440832 +Iceland,ISL,2019,28.40909 +Iceland,ISL,2020,28.057173 +Iceland,ISL,2021,27.84941 +Iceland,ISL,2022,27.679918 +Iceland,ISL,2023,28.330019 +India,IND,2000,740.0374 +India,IND,2001,747.39374 +India,IND,2002,755.75745 +India,IND,2003,757.99603 +India,IND,2004,723.79425 +India,IND,2005,734.0317 +India,IND,2006,723.02295 +India,IND,2007,717.8685 +India,IND,2008,733.07904 +India,IND,2009,743.8928 +India,IND,2010,738.8183 +India,IND,2011,721.29596 +India,IND,2012,741.2076 +India,IND,2013,736.66394 +India,IND,2014,741.5031 +India,IND,2015,745.78326 +India,IND,2016,749.14746 +India,IND,2017,739.80005 +India,IND,2018,735.122 +India,IND,2019,714.8758 +India,IND,2020,702.42865 +India,IND,2021,709.8808 +India,IND,2022,702.8098 +India,IND,2023,713.0127 +India,IND,2024,708.3216 +Indonesia,IDN,2000,630.66095 +Indonesia,IDN,2001,626.03613 +Indonesia,IDN,2002,643.489 +Indonesia,IDN,2003,656.52954 +Indonesia,IDN,2004,653.7105 +Indonesia,IDN,2005,650.538 +Indonesia,IDN,2006,668.1159 +Indonesia,IDN,2007,663.1402 +Indonesia,IDN,2008,652.9827 +Indonesia,IDN,2009,660.5882 +Indonesia,IDN,2010,636.85516 +Indonesia,IDN,2011,667.39624 +Indonesia,IDN,2012,687.5 +Indonesia,IDN,2013,682.29865 +Indonesia,IDN,2014,691.5888 +Indonesia,IDN,2015,696.2759 +Indonesia,IDN,2016,689.0313 +Indonesia,IDN,2017,688.4475 +Indonesia,IDN,2018,684.06213 +Indonesia,IDN,2019,693.8126 +Indonesia,IDN,2020,685.0456 +Indonesia,IDN,2021,684.21906 +Indonesia,IDN,2022,675.9309 +Indonesia,IDN,2023,682.4301 +Iran,IRN,2000,667.4487 +Iran,IRN,2001,667.7639 +Iran,IRN,2002,651.8122 +Iran,IRN,2003,648.9944 +Iran,IRN,2004,641.5581 +Iran,IRN,2005,636.302 +Iran,IRN,2006,624.7221 +Iran,IRN,2007,630.85864 +Iran,IRN,2008,662.35925 +Iran,IRN,2009,666.832 +Iran,IRN,2010,661.2356 +Iran,IRN,2011,654.06 +Iran,IRN,2012,648.34766 +Iran,IRN,2013,633.6244 +Iran,IRN,2014,644.16064 +Iran,IRN,2015,650.835 +Iran,IRN,2016,642.1332 +Iran,IRN,2017,641.6751 +Iran,IRN,2018,657.8838 +Iran,IRN,2019,607.8149 +Iran,IRN,2020,632.8104 +Iran,IRN,2021,659.9703 +Iran,IRN,2022,655.17053 +Iran,IRN,2023,641.7322 +Iran,IRN,2024,641.93616 +Iraq,IRQ,2000,658.3072 +Iraq,IRQ,2001,656.4341 +Iraq,IRQ,2002,657.11755 +Iraq,IRQ,2003,655.4889 +Iraq,IRQ,2004,652.2143 +Iraq,IRQ,2005,554.93427 +Iraq,IRQ,2006,571.6819 +Iraq,IRQ,2007,574.6089 +Iraq,IRQ,2008,631.23645 +Iraq,IRQ,2009,635.93134 +Iraq,IRQ,2010,616.6428 +Iraq,IRQ,2011,640.2597 +Iraq,IRQ,2012,612.34247 +Iraq,IRQ,2013,620.2037 +Iraq,IRQ,2014,645.22675 +Iraq,IRQ,2015,654.44507 +Iraq,IRQ,2016,648.4804 +Iraq,IRQ,2017,666.80914 +Iraq,IRQ,2018,682.0445 +Iraq,IRQ,2019,668.86554 +Iraq,IRQ,2020,674.1803 +Iraq,IRQ,2021,677.73535 +Iraq,IRQ,2022,688.70465 +Iraq,IRQ,2023,689.4005 +Ireland,IRL,2000,632.9382 +Ireland,IRL,2001,641.57855 +Ireland,IRL,2002,615.7258 +Ireland,IRL,2003,595.89044 +Ireland,IRL,2004,591.73944 +Ireland,IRL,2005,593.4324 +Ireland,IRL,2006,560.02954 +Ireland,IRL,2007,536.1807 +Ireland,IRL,2008,517.5644 +Ireland,IRL,2009,487.47314 +Ireland,IRL,2010,479.1889 +Ireland,IRL,2011,457.0586 +Ireland,IRL,2012,484.31155 +Ireland,IRL,2013,464.3696 +Ireland,IRL,2014,447.63382 +Ireland,IRL,2015,441.51212 +Ireland,IRL,2016,444.37085 +Ireland,IRL,2017,405.74036 +Ireland,IRL,2018,364.07767 +Ireland,IRL,2019,313.25302 +Ireland,IRL,2020,292.77448 +Ireland,IRL,2021,353.7049 +Ireland,IRL,2022,332.9366 +Ireland,IRL,2023,283.801 +Ireland,IRL,2024,279.70218 +Israel,ISR,2000,794.421 +Israel,ISR,2001,807.50854 +Israel,ISR,2002,811.6484 +Israel,ISR,2003,810.7993 +Israel,ISR,2004,803.72253 +Israel,ISR,2005,796.1325 +Israel,ISR,2006,783.4256 +Israel,ISR,2007,779.32697 +Israel,ISR,2008,758.40814 +Israel,ISR,2009,753.8827 +Israel,ISR,2010,740.73444 +Israel,ISR,2011,744.4631 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+Kenya,KEN,2015,103.97553 +Kenya,KEN,2016,108.47107 +Kenya,KEN,2017,163.4349 +Kenya,KEN,2018,117.69912 +Kenya,KEN,2019,102.94118 +Kenya,KEN,2020,71.9178 +Kenya,KEN,2021,96.12278 +Kenya,KEN,2022,109.567894 +Kenya,KEN,2023,96.950745 +Kenya,KEN,2024,84.824905 +Kiribati,KIR,2000,1000 +Kiribati,KIR,2001,500 +Kiribati,KIR,2002,500 +Kiribati,KIR,2003,500 +Kiribati,KIR,2004,500 +Kiribati,KIR,2005,500 +Kiribati,KIR,2006,666.6667 +Kiribati,KIR,2007,666.6667 +Kiribati,KIR,2008,500 +Kiribati,KIR,2009,500 +Kiribati,KIR,2010,500 +Kiribati,KIR,2011,500 +Kiribati,KIR,2012,500 +Kiribati,KIR,2013,666.6667 +Kiribati,KIR,2014,666.6667 +Kiribati,KIR,2015,666.6667 +Kiribati,KIR,2016,666.6667 +Kiribati,KIR,2017,666.6667 +Kiribati,KIR,2018,666.6667 +Kiribati,KIR,2019,500 +Kiribati,KIR,2020,500 +Kiribati,KIR,2021,500 +Kiribati,KIR,2022,500 +Kosovo,OWID_KOS,2000,989.86487 +Kosovo,OWID_KOS,2001,994.63806 +Kosovo,OWID_KOS,2002,994.6092 +Kosovo,OWID_KOS,2003,994.4903 +Kosovo,OWID_KOS,2004,980.39215 +Kosovo,OWID_KOS,2005,984.3049 +Kosovo,OWID_KOS,2006,986.456 +Kosovo,OWID_KOS,2007,989.6481 +Kosovo,OWID_KOS,2008,994.1861 +Kosovo,OWID_KOS,2009,985.9155 +Kosovo,OWID_KOS,2010,976.7892 +Kosovo,OWID_KOS,2011,991.3793 +Kosovo,OWID_KOS,2012,993.266 +Kosovo,OWID_KOS,2013,989.2638 +Kosovo,OWID_KOS,2014,983.4255 +Kosovo,OWID_KOS,2015,988.54333 +Kosovo,OWID_KOS,2016,969.8997 +Kosovo,OWID_KOS,2017,979.72974 +Kosovo,OWID_KOS,2018,961.0829 +Kosovo,OWID_KOS,2019,960.62994 +Kosovo,OWID_KOS,2020,958.209 +Kosovo,OWID_KOS,2021,945.00726 +Kosovo,OWID_KOS,2022,945.00726 +Kosovo,OWID_KOS,2023,918.16693 +Kosovo,OWID_KOS,2024,958.7156 +Kuwait,KWT,2000,653.8818 +Kuwait,KWT,2001,653.9359 +Kuwait,KWT,2002,655.2103 +Kuwait,KWT,2003,654.77386 +Kuwait,KWT,2004,654.38684 +Kuwait,KWT,2005,654.6993 +Kuwait,KWT,2006,653.78156 +Kuwait,KWT,2007,653.7436 +Kuwait,KWT,2008,653.1401 +Kuwait,KWT,2009,654.2653 +Kuwait,KWT,2010,653.34033 +Kuwait,KWT,2011,652.6279 +Kuwait,KWT,2012,651.0144 +Kuwait,KWT,2013,651.9101 +Kuwait,KWT,2014,650.9593 +Kuwait,KWT,2015,650.5124 +Kuwait,KWT,2016,650.07135 +Kuwait,KWT,2017,650.6024 +Kuwait,KWT,2018,650.0742 +Kuwait,KWT,2019,649.52026 +Kuwait,KWT,2020,650.18756 +Kuwait,KWT,2021,649.6287 +Kuwait,KWT,2022,636.8859 +Kuwait,KWT,2023,636.90546 +Kuwait,KWT,2024,637.23474 +Kyrgyzstan,KGZ,2000,101.577286 +Kyrgyzstan,KGZ,2001,110.735985 +Kyrgyzstan,KGZ,2002,107.08783 +Kyrgyzstan,KGZ,2003,89.37824 +Kyrgyzstan,KGZ,2004,89.72773 +Kyrgyzstan,KGZ,2005,132.34302 +Kyrgyzstan,KGZ,2006,135.39519 +Kyrgyzstan,KGZ,2007,138.09525 +Kyrgyzstan,KGZ,2008,142.00171 +Kyrgyzstan,KGZ,2009,81.96722 +Kyrgyzstan,KGZ,2010,85.90492 +Kyrgyzstan,KGZ,2011,75.28314 +Kyrgyzstan,KGZ,2012,78.50964 +Kyrgyzstan,KGZ,2013,82.61494 +Kyrgyzstan,KGZ,2014,98.40609 +Kyrgyzstan,KGZ,2015,154.79877 +Kyrgyzstan,KGZ,2016,139.1635 +Kyrgyzstan,KGZ,2017,97.59271 +Kyrgyzstan,KGZ,2018,95.26896 +Kyrgyzstan,KGZ,2019,98.196396 +Kyrgyzstan,KGZ,2020,105.19481 +Kyrgyzstan,KGZ,2021,151.25494 +Kyrgyzstan,KGZ,2022,146.88857 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(Ember),,2006,284.07373 +Latin America and Caribbean (Ember),,2007,290.33307 +Latin America and Caribbean (Ember),,2008,290.48334 +Latin America and Caribbean (Ember),,2009,289.31586 +Latin America and Caribbean (Ember),,2010,297.98254 +Latin America and Caribbean (Ember),,2011,290.6306 +Latin America and Caribbean (Ember),,2012,310.35095 +Latin America and Caribbean (Ember),,2013,326.09277 +Latin America and Caribbean (Ember),,2014,332.25372 +Latin America and Caribbean (Ember),,2015,334.16672 +Latin America and Caribbean (Ember),,2016,323.59064 +Latin America and Caribbean (Ember),,2017,310.94345 +Latin America and Caribbean (Ember),,2018,302.5968 +Latin America and Caribbean (Ember),,2019,303.99277 +Latin America and Caribbean (Ember),,2020,281.83353 +Latin America and Caribbean (Ember),,2021,285.80325 +Latin America and Caribbean (Ember),,2022,259.51196 +Latin America and Caribbean (Ember),,2023,258.13376 +Latin America and Caribbean (Ember),,2024,255.2324 +Latvia,LVA,2000,147.343 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+Libya,LBY,2016,822.72437 +Libya,LBY,2017,813.4015 +Libya,LBY,2018,806.61206 +Libya,LBY,2019,809.9913 +Libya,LBY,2020,824.06775 +Libya,LBY,2021,831.5608 +Libya,LBY,2022,830.5326 +Libya,LBY,2023,830.5326 +Lithuania,LTU,2000,103.32435 +Lithuania,LTU,2001,89.83287 +Lithuania,LTU,2002,76.92307 +Lithuania,LTU,2003,71.7322 +Lithuania,LTU,2004,77.333336 +Lithuania,LTU,2005,110.26353 +Lithuania,LTU,2006,110.19056 +Lithuania,LTU,2007,104.75483 +Lithuania,LTU,2008,103.52588 +Lithuania,LTU,2009,104.508194 +Lithuania,LTU,2010,368 +Lithuania,LTU,2011,322.35294 +Lithuania,LTU,2012,322.22223 +Lithuania,LTU,2013,293.5561 +Lithuania,LTU,2014,284.55283 +Lithuania,LTU,2015,295.50827 +Lithuania,LTU,2016,234.15977 +Lithuania,LTU,2017,182.58426 +Lithuania,LTU,2018,178.08218 +Lithuania,LTU,2019,170.65869 +Lithuania,LTU,2020,231.91492 +Lithuania,LTU,2021,220.93022 +Lithuania,LTU,2022,180.69307 +Lithuania,LTU,2023,120.9213 +Lithuania,LTU,2024,139.34425 +Low-income countries,,2000,398.9872 +Low-income countries,,2001,394.40646 +Low-income countries,,2002,401.39493 +Low-income countries,,2003,414.8961 +Low-income countries,,2004,397.39554 +Low-income countries,,2005,399.94022 +Low-income countries,,2006,407.35785 +Low-income countries,,2007,394.8411 +Low-income countries,,2008,412.2029 +Low-income countries,,2009,428.12762 +Low-income countries,,2010,417.7603 +Low-income countries,,2011,386.2166 +Low-income countries,,2012,360.86807 +Low-income countries,,2013,329.53128 +Low-income countries,,2014,312.78476 +Low-income countries,,2015,321.6885 +Low-income countries,,2016,326.52213 +Low-income countries,,2017,329.20953 +Low-income countries,,2018,334.41437 +Low-income countries,,2019,327.9304 +Low-income countries,,2020,302.78467 +Low-income countries,,2021,291.4869 +Low-income countries,,2022,273.10455 +Lower-middle-income countries,,2000,638.6798 +Lower-middle-income countries,,2001,640.9345 +Lower-middle-income countries,,2002,641.7841 +Lower-middle-income countries,,2003,636.46857 +Lower-middle-income countries,,2004,625.31744 +Lower-middle-income countries,,2005,625.97675 +Lower-middle-income countries,,2006,623.28906 +Lower-middle-income countries,,2007,624.4456 +Lower-middle-income countries,,2008,632.91266 +Lower-middle-income countries,,2009,638.0642 +Lower-middle-income countries,,2010,634.08215 +Lower-middle-income countries,,2011,626.46606 +Lower-middle-income countries,,2012,634.3922 +Lower-middle-income countries,,2013,632.4382 +Lower-middle-income countries,,2014,642.1003 +Lower-middle-income countries,,2015,651.0639 +Lower-middle-income countries,,2016,656.00507 +Lower-middle-income countries,,2017,645.78735 +Lower-middle-income countries,,2018,646.3905 +Lower-middle-income countries,,2019,639.54004 +Lower-middle-income countries,,2020,627.2164 +Lower-middle-income countries,,2021,624.2525 +Lower-middle-income countries,,2022,615.04095 +Lower-middle-income countries,,2023,630.8106 +Luxembourg,LUX,2000,225 +Luxembourg,LUX,2001,287.35632 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+Namibia,NAM,2009,66.666664 +Namibia,NAM,2010,53.435116 +Namibia,NAM,2011,48.27586 +Namibia,NAM,2012,47.90419 +Namibia,NAM,2013,51.851852 +Namibia,NAM,2014,32.67974 +Namibia,NAM,2015,44.303795 +Namibia,NAM,2016,54.05405 +Namibia,NAM,2017,62.146893 +Namibia,NAM,2018,42.553192 +Namibia,NAM,2019,57.971012 +Namibia,NAM,2020,60 +Namibia,NAM,2021,46.357616 +Namibia,NAM,2022,45.454544 +Namibia,NAM,2023,47.61905 +Nauru,NRU,2000,666.6667 +Nauru,NRU,2001,666.6667 +Nauru,NRU,2002,666.6667 +Nauru,NRU,2003,666.6667 +Nauru,NRU,2004,666.6667 +Nauru,NRU,2005,666.6667 +Nauru,NRU,2006,500 +Nauru,NRU,2007,500 +Nauru,NRU,2008,500 +Nauru,NRU,2009,500 +Nauru,NRU,2010,500 +Nauru,NRU,2011,500 +Nauru,NRU,2012,500 +Nauru,NRU,2013,500 +Nauru,NRU,2014,666.6667 +Nauru,NRU,2015,666.6667 +Nauru,NRU,2016,666.6667 +Nauru,NRU,2017,666.6667 +Nauru,NRU,2018,750 +Nauru,NRU,2019,750 +Nauru,NRU,2020,750 +Nauru,NRU,2021,750 +Nauru,NRU,2022,750 +Nauru,NRU,2023,750 +Nepal,NPL,2000,36.363636 +Nepal,NPL,2001,27.027027 +Nepal,NPL,2002,23.809525 +Nepal,NPL,2003,22.123894 +Nepal,NPL,2004,29.288702 +Nepal,NPL,2005,27.888447 +Nepal,NPL,2006,25.735294 +Nepal,NPL,2007,28.880865 +Nepal,NPL,2008,28.673836 +Nepal,NPL,2009,25.974026 +Nepal,NPL,2010,25.157232 +Nepal,NPL,2011,23.121386 +Nepal,NPL,2012,25.495752 +Nepal,NPL,2013,25.714287 +Nepal,NPL,2014,23.684212 +Nepal,NPL,2015,23.121386 +Nepal,NPL,2016,23.923447 +Nepal,NPL,2017,24.017467 +Nepal,NPL,2018,22.727272 +Nepal,NPL,2019,22.764227 +Nepal,NPL,2020,22.653723 +Nepal,NPL,2021,23.883698 +Nepal,NPL,2022,23.364487 +Netherlands,NLD,2000,542.3575 +Netherlands,NLD,2001,543.0866 +Netherlands,NLD,2002,540.78613 +Netherlands,NLD,2003,542.7883 +Netherlands,NLD,2004,524.64435 +Netherlands,NLD,2005,513.54913 +Netherlands,NLD,2006,513.2281 +Netherlands,NLD,2007,511.57407 +Netherlands,NLD,2008,496.09265 +Netherlands,NLD,2009,488.29553 +Netherlands,NLD,2010,479.59357 +Netherlands,NLD,2011,473.7216 +Netherlands,NLD,2012,496.23547 +Netherlands,NLD,2013,502.38666 +Netherlands,NLD,2014,523.40845 +Netherlands,NLD,2015,553.07825 +Netherlands,NLD,2016,525.18427 +Netherlands,NLD,2017,489.91727 +Netherlands,NLD,2018,467.10876 +Netherlands,NLD,2019,409.99585 +Netherlands,NLD,2020,342.89932 +Netherlands,NLD,2021,352.23508 +Netherlands,NLD,2022,326.07062 +Netherlands,NLD,2023,268.68045 +Netherlands,NLD,2024,253.31152 +New Caledonia,NCL,2000,512.1951 +New Caledonia,NCL,2001,552.32556 +New Caledonia,NCL,2002,582.8571 +New Caledonia,NCL,2003,571.4286 +New Caledonia,NCL,2004,562.87427 +New Caledonia,NCL,2005,563.8298 +New Caledonia,NCL,2006,582.8877 +New Caledonia,NCL,2007,544.04144 +New Caledonia,NCL,2008,510.7527 +New Caledonia,NCL,2009,546.3917 +New Caledonia,NCL,2010,636.7925 +New Caledonia,NCL,2011,606.1947 +New Caledonia,NCL,2012,589.51965 +New Caledonia,NCL,2013,593.6255 +New Caledonia,NCL,2014,651.1628 +New Caledonia,NCL,2015,641.3793 +New Caledonia,NCL,2016,691.0828 +New Caledonia,NCL,2017,674.9226 +New Caledonia,NCL,2018,685.7143 +New Caledonia,NCL,2019,687.6877 +New Caledonia,NCL,2020,679.0123 +New Caledonia,NCL,2021,618.55664 +New Caledonia,NCL,2022,585.7605 +New Zealand,NZL,2000,184.7854 +New Zealand,NZL,2001,230.90631 +New Zealand,NZL,2002,198.2094 +New Zealand,NZL,2003,232.35077 +New Zealand,NZL,2004,205.34659 +New Zealand,NZL,2005,255.64972 +New Zealand,NZL,2006,250.23235 +New Zealand,NZL,2007,227.75473 +New Zealand,NZL,2008,248.21388 +New Zealand,NZL,2009,197.43887 +New Zealand,NZL,2010,179.8691 +New Zealand,NZL,2011,166.43867 +New Zealand,NZL,2012,199.08571 +New Zealand,NZL,2013,177.51756 +New Zealand,NZL,2014,148.88164 +New Zealand,NZL,2015,143.2178 +New Zealand,NZL,2016,114.716095 +New Zealand,NZL,2017,131.92854 +New Zealand,NZL,2018,123.942375 +New Zealand,NZL,2019,134.17143 +New Zealand,NZL,2020,142.56056 +New Zealand,NZL,2021,145.5798 +New Zealand,NZL,2022,112.836914 +New Zealand,NZL,2023,104.423164 +New Zealand,NZL,2024,120.10797 +Nicaragua,NIC,2000,530.7018 +Nicaragua,NIC,2001,538.46155 +Nicaragua,NIC,2002,513.72546 +Nicaragua,NIC,2003,500 +Nicaragua,NIC,2004,498.22064 +Nicaragua,NIC,2005,454.54544 +Nicaragua,NIC,2006,488.81787 +Nicaragua,NIC,2007,500 +Nicaragua,NIC,2008,452.38095 +Nicaragua,NIC,2009,484.05795 +Nicaragua,NIC,2010,443.8356 +Nicaragua,NIC,2011,461.94226 +Nicaragua,NIC,2012,409.42926 +Nicaragua,NIC,2013,347.72183 +Nicaragua,NIC,2014,338.565 +Nicaragua,NIC,2015,361.65576 +Nicaragua,NIC,2016,348.58386 +Nicaragua,NIC,2017,329.64603 +Nicaragua,NIC,2018,313.9785 +Nicaragua,NIC,2019,334.06113 +Nicaragua,NIC,2020,250.65964 +Nicaragua,NIC,2021,261.28265 +Nicaragua,NIC,2022,289.35184 +Nicaragua,NIC,2023,288.32953 +Niger,NER,2000,857.14294 +Niger,NER,2001,833.3333 +Niger,NER,2002,842.1052 +Niger,NER,2003,850 +Niger,NER,2004,850 +Niger,NER,2005,869.5652 +Niger,NER,2006,863.63635 +Niger,NER,2007,863.63635 +Niger,NER,2008,863.63635 +Niger,NER,2009,846.1539 +Niger,NER,2010,827.58624 +Niger,NER,2011,852.94116 +Niger,NER,2012,820.5128 +Niger,NER,2013,795.4545 +Niger,NER,2014,800.00006 +Niger,NER,2015,740.7407 +Niger,NER,2016,728.5714 +Niger,NER,2017,732.1428 +Niger,NER,2018,716.98114 +Niger,NER,2019,701.4925 +Niger,NER,2020,716.41785 +Niger,NER,2021,704.2254 +Niger,NER,2022,696.2025 +Niger,NER,2023,687.5 +Nigeria,NGA,2000,411.80463 +Nigeria,NGA,2001,411.76468 +Nigeria,NGA,2002,412.06497 +Nigeria,NGA,2003,420.297 +Nigeria,NGA,2004,442.15723 +Nigeria,NGA,2005,444.586 +Nigeria,NGA,2006,481.8339 +Nigeria,NGA,2007,481.94867 +Nigeria,NGA,2008,482.00757 +Nigeria,NGA,2009,508.33755 +Nigeria,NGA,2010,499.04327 +Nigeria,NGA,2011,515.53253 +Nigeria,NGA,2012,527.83575 +Nigeria,NGA,2013,535.776 +Nigeria,NGA,2014,547.39777 +Nigeria,NGA,2015,529.69556 +Nigeria,NGA,2016,511.22058 +Nigeria,NGA,2017,500 +Nigeria,NGA,2018,519.477 +Nigeria,NGA,2019,505.75977 +Nigeria,NGA,2020,523.421 +Nigeria,NGA,2021,522.70404 +Nigeria,NGA,2022,497.3684 +Nigeria,NGA,2023,508.82144 +Nigeria,NGA,2024,507.84946 +North America,,2000,555.92456 +North America,,2001,560.44336 +North America,,2002,552.51807 +North America,,2003,559.78503 +North America,,2004,553.781 +North America,,2005,553.50867 +North America,,2006,545.7748 +North America,,2007,549.23444 +North America,,2008,539.3964 +North America,,2009,518.7003 +North America,,2010,525.6945 +North America,,2011,506.40802 +North America,,2012,490.81323 +North America,,2013,489.30487 +North America,,2014,485.74512 +North America,,2015,465.74884 +North America,,2016,448.24576 +North America,,2017,434.62997 +North America,,2018,430.4695 +North America,,2019,412.91592 +North America,,2020,385.71655 +North America,,2021,394.33676 +North America,,2022,384.04166 +North America,,2023,373.7501 +North America (Ember),,2000,557.91486 +North America (Ember),,2001,561.6286 +North America (Ember),,2002,552.65924 +North America (Ember),,2003,559.50397 +North America (Ember),,2004,554.1402 +North America (Ember),,2005,553.80884 +North America (Ember),,2006,545.91766 +North America (Ember),,2007,549.24097 +North America (Ember),,2008,540.71576 +North America (Ember),,2009,516.3764 +North America (Ember),,2010,525.0075 +North America (Ember),,2011,503.95447 +North America (Ember),,2012,486.55093 +North America (Ember),,2013,485.1818 +North America (Ember),,2014,482.54752 +North America (Ember),,2015,460.2135 +North America (Ember),,2016,440.80243 +North America (Ember),,2017,426.87436 +North America (Ember),,2018,422.86542 +North America (Ember),,2019,402.65842 +North America (Ember),,2020,376.70297 +North America (Ember),,2021,388.4319 +North America (Ember),,2022,376.55014 +North America (Ember),,2023,363.31644 +North America (Ember),,2024,357.41916 +North Korea,PRK,2000,434.71506 +North Korea,PRK,2001,433.54904 +North Korea,PRK,2002,422.17703 +North Korea,PRK,2003,404.69348 +North Korea,PRK,2004,395.6999 +North Korea,PRK,2005,393.9394 +North Korea,PRK,2006,405.6477 +North Korea,PRK,2007,355.3062 +North Korea,PRK,2008,365.13443 +North Korea,PRK,2009,432.8486 +North Korea,PRK,2010,404.3275 +North Korea,PRK,2011,346.90942 +North Korea,PRK,2012,348.3146 +North Korea,PRK,2013,347.29178 +North Korea,PRK,2014,371.04282 +North Korea,PRK,2015,433.17484 +North Korea,PRK,2016,425.87152 +North Korea,PRK,2017,452.83823 +North Korea,PRK,2018,446.2344 +North Korea,PRK,2019,486.59967 +North Korea,PRK,2020,424.4813 +North Korea,PRK,2021,342.5673 +North Korea,PRK,2022,344.25613 +North Macedonia,MKD,2000,822.3201 +North Macedonia,MKD,2001,907.37836 +North Macedonia,MKD,2002,880.13135 +North Macedonia,MKD,2003,811.2927 +North Macedonia,MKD,2004,794.2943 +North Macedonia,MKD,2005,802.5937 +North Macedonia,MKD,2006,768.90155 +North Macedonia,MKD,2007,835.3846 +North Macedonia,MKD,2008,873.21716 +North Macedonia,MKD,2009,816.7156 +North Macedonia,MKD,2010,677.6859 +North Macedonia,MKD,2011,794.37866 +North Macedonia,MKD,2012,819.48883 +North Macedonia,MKD,2013,719.21185 +North Macedonia,MKD,2014,749.0707 +North Macedonia,MKD,2015,631.8584 +North Macedonia,MKD,2016,593.2504 +North Macedonia,MKD,2017,705.3572 +North Macedonia,MKD,2018,595.3654 +North Macedonia,MKD,2019,700.1704 +North Macedonia,MKD,2020,623.59546 +North Macedonia,MKD,2021,562.38696 +North Macedonia,MKD,2022,624.5791 +North Macedonia,MKD,2023,567.2938 +North Macedonia,MKD,2024,568.9655 +Norway,NOR,2000,25.750772 +Norway,NOR,2001,26.871084 +Norway,NOR,2002,26.489557 +Norway,NOR,2003,27.749134 +Norway,NOR,2004,27.883741 +Norway,NOR,2005,26.958105 +Norway,NOR,2006,27.883188 +Norway,NOR,2007,28.579826 +Norway,NOR,2008,27.4807 +Norway,NOR,2009,39.092922 +Norway,NOR,2010,42.878025 +Norway,NOR,2011,38.35464 +Norway,NOR,2012,32.15214 +Norway,NOR,2013,33.949226 +Norway,NOR,2014,33.929585 +Norway,NOR,2015,33.636364 +Norway,NOR,2016,33.1014 +Norway,NOR,2017,32.980373 +Norway,NOR,2018,33.09579 +Norway,NOR,2019,33.475304 +Norway,NOR,2020,30.391394 +Norway,NOR,2021,26.920383 +Norway,NOR,2022,29.638288 +Norway,NOR,2023,30.482641 +Norway,NOR,2024,30.745583 +OECD (Ember),,2000,491.41174 +OECD (Ember),,2001,491.52084 +OECD (Ember),,2002,490.49753 +OECD (Ember),,2003,500.27722 +OECD (Ember),,2004,490.98862 +OECD (Ember),,2005,491.61902 +OECD (Ember),,2006,486.7227 +OECD (Ember),,2007,493.27298 +OECD (Ember),,2008,484.55994 +OECD (Ember),,2009,469.0507 +OECD (Ember),,2010,467.82828 +OECD (Ember),,2011,465.0388 +OECD (Ember),,2012,466.57037 +OECD (Ember),,2013,461.93127 +OECD (Ember),,2014,454.8367 +OECD (Ember),,2015,440.6886 +OECD (Ember),,2016,428.1426 +OECD (Ember),,2017,420.57822 +OECD (Ember),,2018,412.34113 +OECD (Ember),,2019,390.2965 +OECD (Ember),,2020,367.45242 +OECD (Ember),,2021,372.96722 +OECD (Ember),,2022,371.28616 +OECD (Ember),,2023,349.66846 +OECD (Ember),,2024,337.48355 +Oceania,,2000,705.34357 +Oceania,,2001,711.63477 +Oceania,,2002,698.03204 +Oceania,,2003,701.5968 +Oceania,,2004,695.7793 +Oceania,,2005,702.1269 +Oceania,,2006,701.80585 +Oceania,,2007,699.22906 +Oceania,,2008,703.0783 +Oceania,,2009,692.7585 +Oceania,,2010,681.13715 +Oceania,,2011,659.4303 +Oceania,,2012,660.3247 +Oceania,,2013,641.4103 +Oceania,,2014,643.7544 +Oceania,,2015,639.9365 +Oceania,,2016,624.76855 +Oceania,,2017,630.59106 +Oceania,,2018,606.16815 +Oceania,,2019,592.8471 +Oceania,,2020,571.0893 +Oceania,,2021,541.08673 +Oceania,,2022,514.1319 +Oceania,,2023,493.4306 +Oceania (Ember),,2000,705.3056 +Oceania (Ember),,2001,711.6715 +Oceania (Ember),,2002,698.14233 +Oceania (Ember),,2003,701.4877 +Oceania (Ember),,2004,695.8506 +Oceania (Ember),,2005,702.0207 +Oceania (Ember),,2006,701.8058 +Oceania (Ember),,2007,699.0938 +Oceania (Ember),,2008,703.0111 +Oceania (Ember),,2009,692.8909 +Oceania (Ember),,2010,680.9732 +Oceania (Ember),,2011,659.36584 +Oceania (Ember),,2012,660.3904 +Oceania (Ember),,2013,641.4433 +Oceania (Ember),,2014,643.68805 +Oceania (Ember),,2015,639.9689 +Oceania (Ember),,2016,624.8644 +Oceania (Ember),,2017,630.6547 +Oceania (Ember),,2018,606.1367 +Oceania (Ember),,2019,592.785 +Oceania (Ember),,2020,571.21436 +Oceania (Ember),,2021,541.17975 +Oceania (Ember),,2022,514.1623 +Oceania (Ember),,2023,494.75925 +Oceania (Ember),,2024,493.4236 +Oman,OMN,2000,580.6806 +Oman,OMN,2001,581.1088 +Oman,OMN,2002,580.8325 +Oman,OMN,2003,581.69934 +Oman,OMN,2004,580.86957 +Oman,OMN,2005,579.44666 +Oman,OMN,2006,578.63055 +Oman,OMN,2007,565.9845 +Oman,OMN,2008,566.35516 +Oman,OMN,2009,566.3956 +Oman,OMN,2010,566.8854 +Oman,OMN,2011,566.9867 +Oman,OMN,2012,566.7466 +Oman,OMN,2013,567.0732 +Oman,OMN,2014,567.113 +Oman,OMN,2015,567.32825 +Oman,OMN,2016,567.3386 +Oman,OMN,2017,566.80493 +Oman,OMN,2018,566.4725 +Oman,OMN,2019,566.46954 +Oman,OMN,2020,563.6646 +Oman,OMN,2021,557.86707 +Oman,OMN,2022,547.3708 +Oman,OMN,2023,545.8787 +Oman,OMN,2024,545.32874 +Pakistan,PAK,2000,499.92484 +Pakistan,PAK,2001,483.70547 +Pakistan,PAK,2002,465.61963 +Pakistan,PAK,2003,442.3733 +Pakistan,PAK,2004,461.84274 +Pakistan,PAK,2005,441.73013 +Pakistan,PAK,2006,442.98203 +Pakistan,PAK,2007,456.68225 +Pakistan,PAK,2008,459.09042 +Pakistan,PAK,2009,458.22495 +Pakistan,PAK,2010,429.6594 +Pakistan,PAK,2011,443.3196 +Pakistan,PAK,2012,431.70233 +Pakistan,PAK,2013,436.21283 +Pakistan,PAK,2014,432.76804 +Pakistan,PAK,2015,431.77588 +Pakistan,PAK,2016,456.95688 +Pakistan,PAK,2017,488.4934 +Pakistan,PAK,2018,487.5213 +Pakistan,PAK,2019,477.98035 +Pakistan,PAK,2020,485.4315 +Pakistan,PAK,2021,462.90802 +Pakistan,PAK,2022,436.58423 +Pakistan,PAK,2023,425.68472 +Pakistan,PAK,2024,398.6102 +Palestine,PSE,2000,666.6667 +Palestine,PSE,2001,750 +Palestine,PSE,2002,666.6666 +Palestine,PSE,2003,647.05884 +Palestine,PSE,2004,649.99994 +Palestine,PSE,2005,660 +Palestine,PSE,2006,657.1429 +Palestine,PSE,2007,666.6667 +Palestine,PSE,2008,651.1628 +Palestine,PSE,2009,660 +Palestine,PSE,2010,659.57446 +Palestine,PSE,2011,666.6667 +Palestine,PSE,2012,652.17395 +Palestine,PSE,2013,660.3774 +Palestine,PSE,2014,647.05884 +Palestine,PSE,2015,653.8462 +Palestine,PSE,2016,603.7736 +Palestine,PSE,2017,600 +Palestine,PSE,2018,571.4286 +Palestine,PSE,2019,567.90125 +Palestine,PSE,2020,523.8095 +Palestine,PSE,2021,505.4945 +Palestine,PSE,2022,460.78433 +Panama,PAN,2000,210.63394 +Panama,PAN,2001,345.70312 +Panama,PAN,2002,247.63704 +Panama,PAN,2003,335.7271 +Panama,PAN,2004,239.58333 +Panama,PAN,2005,250.8591 +Panama,PAN,2006,277.59198 +Panama,PAN,2007,292.56964 +Panama,PAN,2008,264.3857 +Panama,PAN,2009,298.11865 +Panama,PAN,2010,296.748 +Panama,PAN,2011,336.31714 +Panama,PAN,2012,276.4228 +Panama,PAN,2013,307.26257 +Panama,PAN,2014,320.4301 +Panama,PAN,2015,258.25244 +Panama,PAN,2016,247.24265 +Panama,PAN,2017,205.61594 +Panama,PAN,2018,169.64285 +Panama,PAN,2019,325.60135 +Panama,PAN,2020,180.98721 +Panama,PAN,2021,161.84972 +Panama,PAN,2022,168.97958 +Panama,PAN,2023,258.74124 +Papua New Guinea,PNG,2000,396.31335 +Papua New Guinea,PNG,2001,447.7612 +Papua New Guinea,PNG,2002,459.93036 +Papua New Guinea,PNG,2003,475.15527 +Papua New Guinea,PNG,2004,492.8775 +Papua New Guinea,PNG,2005,458.56354 +Papua New Guinea,PNG,2006,452.94116 +Papua New Guinea,PNG,2007,429.85077 +Papua New Guinea,PNG,2008,436.95013 +Papua New Guinea,PNG,2009,433.23444 +Papua New Guinea,PNG,2010,441.59543 +Papua New Guinea,PNG,2011,429.75204 +Papua New Guinea,PNG,2012,431.63538 +Papua New Guinea,PNG,2013,443.89023 +Papua New Guinea,PNG,2014,453.27103 +Papua New Guinea,PNG,2015,465.78363 +Papua New Guinea,PNG,2016,477.98743 +Papua New Guinea,PNG,2017,491.95407 +Papua New Guinea,PNG,2018,518.34863 +Papua New Guinea,PNG,2019,495.32706 +Papua New Guinea,PNG,2020,490.2439 +Papua New Guinea,PNG,2021,507.72623 +Papua New Guinea,PNG,2022,529.41174 +Papua New Guinea,PNG,2023,513.74207 +Paraguay,PRY,2000,23.742754 +Paraguay,PRY,2001,23.83054 +Paraguay,PRY,2002,23.853971 +Paraguay,PRY,2003,23.758934 +Paraguay,PRY,2004,23.685732 +Paraguay,PRY,2005,23.842096 +Paraguay,PRY,2006,23.805096 +Paraguay,PRY,2007,23.831688 +Paraguay,PRY,2008,23.80094 +Paraguay,PRY,2009,23.844193 +Paraguay,PRY,2010,23.677395 +Paraguay,PRY,2011,23.776466 +Paraguay,PRY,2012,23.742321 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Tobago,TTO,2008,679.17206 +Trinidad and Tobago,TTO,2009,679.8469 +Trinidad and Tobago,TTO,2010,681.6038 +Trinidad and Tobago,TTO,2011,681.50684 +Trinidad and Tobago,TTO,2012,682.0175 +Trinidad and Tobago,TTO,2013,682.1053 +Trinidad and Tobago,TTO,2014,681.19025 +Trinidad and Tobago,TTO,2015,681.2957 +Trinidad and Tobago,TTO,2016,681.5287 +Trinidad and Tobago,TTO,2017,681.3305 +Trinidad and Tobago,TTO,2018,681.4735 +Trinidad and Tobago,TTO,2019,681.5217 +Trinidad and Tobago,TTO,2020,681.4735 +Trinidad and Tobago,TTO,2021,681.7691 +Trinidad and Tobago,TTO,2022,682.1053 +Trinidad and Tobago,TTO,2023,682.1053 +Tunisia,TUN,2000,586.4023 +Tunisia,TUN,2001,586.11597 +Tunisia,TUN,2002,584.4595 +Tunisia,TUN,2003,572.69507 +Tunisia,TUN,2004,573.3445 +Tunisia,TUN,2005,574.24963 +Tunisia,TUN,2006,581.4843 +Tunisia,TUN,2007,585.8807 +Tunisia,TUN,2008,582.46344 +Tunisia,TUN,2009,577.32635 +Tunisia,TUN,2010,574.5752 +Tunisia,TUN,2011,576.07367 +Tunisia,TUN,2012,571.1883 +Tunisia,TUN,2013,568.35724 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Islands,TCA,2005,692.30774 +Turks and Caicos Islands,TCA,2006,687.5 +Turks and Caicos Islands,TCA,2007,666.6666 +Turks and Caicos Islands,TCA,2008,684.2105 +Turks and Caicos Islands,TCA,2009,649.99994 +Turks and Caicos Islands,TCA,2010,666.6667 +Turks and Caicos Islands,TCA,2011,666.6667 +Turks and Caicos Islands,TCA,2012,666.6667 +Turks and Caicos Islands,TCA,2013,666.6667 +Turks and Caicos Islands,TCA,2014,652.17395 +Turks and Caicos Islands,TCA,2015,652.17395 +Turks and Caicos Islands,TCA,2016,640 +Turks and Caicos Islands,TCA,2017,655.1724 +Turks and Caicos Islands,TCA,2018,653.8462 +Turks and Caicos Islands,TCA,2019,653.8462 +Turks and Caicos Islands,TCA,2020,640 +Turks and Caicos Islands,TCA,2021,653.8462 +Turks and Caicos Islands,TCA,2022,653.8462 +Turks and Caicos Islands,TCA,2023,653.8462 +Uganda,UGA,2000,37.735847 +Uganda,UGA,2001,37.735847 +Uganda,UGA,2002,34.88372 +Uganda,UGA,2003,33.333332 +Uganda,UGA,2004,25.773195 +Uganda,UGA,2005,51.02041 +Uganda,UGA,2006,181.24998 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Emirates,ARE,2023,492.69827 +United Kingdom,GBR,2000,521.9859 +United Kingdom,GBR,2001,528.99133 +United Kingdom,GBR,2002,520.8915 +United Kingdom,GBR,2003,536.7771 +United Kingdom,GBR,2004,536.0225 +United Kingdom,GBR,2005,535.25793 +United Kingdom,GBR,2006,559.3425 +United Kingdom,GBR,2007,556.0596 +United Kingdom,GBR,2008,554.3758 +United Kingdom,GBR,2009,504.64487 +United Kingdom,GBR,2010,517.1963 +United Kingdom,GBR,2011,499.63315 +United Kingdom,GBR,2012,537.22485 +United Kingdom,GBR,2013,506.92194 +United Kingdom,GBR,2014,462.87863 +United Kingdom,GBR,2015,397.79266 +United Kingdom,GBR,2016,333.45126 +United Kingdom,GBR,2017,302.19974 +United Kingdom,GBR,2018,285.5987 +United Kingdom,GBR,2019,268.31952 +United Kingdom,GBR,2020,246.68149 +United Kingdom,GBR,2021,268.74313 +United Kingdom,GBR,2022,250.76793 +United Kingdom,GBR,2023,228.24567 +United Kingdom,GBR,2024,210.89114 +USA,USA,2000,607.52216 +USA,USA,2001,609.89594 +USA,USA,2002,600.66125 +USA,USA,2003,606.34436 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Islands,VIR,2013,658.5366 +USA Virgin Islands,VIR,2014,653.8462 +USA Virgin Islands,VIR,2015,653.8462 +USA Virgin Islands,VIR,2016,649.35065 +USA Virgin Islands,VIR,2017,649.99994 +USA Virgin Islands,VIR,2018,645.1613 +USA Virgin Islands,VIR,2019,651.51514 +USA Virgin Islands,VIR,2020,640.625 +USA Virgin Islands,VIR,2021,636.3636 +USA Virgin Islands,VIR,2022,632.35297 +USA Virgin Islands,VIR,2023,641.791 +Upper-middle-income countries,,2000,589.51373 +Upper-middle-income countries,,2001,597.01056 +Upper-middle-income countries,,2002,604.2267 +Upper-middle-income countries,,2003,620.6766 +Upper-middle-income countries,,2004,619.2279 +Upper-middle-income countries,,2005,628.1388 +Upper-middle-income countries,,2006,638.1497 +Upper-middle-income countries,,2007,648.1559 +Upper-middle-income countries,,2008,631.01917 +Upper-middle-income countries,,2009,638.2973 +Upper-middle-income countries,,2010,633.89417 +Upper-middle-income countries,,2011,646.51526 +Upper-middle-income countries,,2012,631.7128 +Upper-middle-income countries,,2013,634.2011 +Upper-middle-income countries,,2014,625.7929 +Upper-middle-income countries,,2015,607.29956 +Upper-middle-income countries,,2016,596.53204 +Upper-middle-income countries,,2017,592.25507 +Upper-middle-income countries,,2018,588.7053 +Upper-middle-income countries,,2019,575.83 +Upper-middle-income countries,,2020,566.4339 +Upper-middle-income countries,,2021,562.7759 +Upper-middle-income countries,,2022,551.98206 +Upper-middle-income countries,,2023,547.6743 +Uruguay,URY,2000,67.19367 +Uruguay,URY,2001,25.945946 +Uruguay,URY,2002,27.083332 +Uruguay,URY,2003,25.641026 +Uruguay,URY,2004,140.67796 +Uruguay,URY,2005,104.16667 +Uruguay,URY,2006,249.55116 +Uruguay,URY,2007,108.742004 +Uruguay,URY,2008,289.6237 +Uruguay,URY,2009,243.36792 +Uruguay,URY,2010,111.73185 +Uruguay,URY,2011,204.06189 +Uruguay,URY,2012,272.6415 +Uruguay,URY,2013,149.22813 +Uruguay,URY,2014,85.51618 +Uruguay,URY,2015,98.98108 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+World,OWID_WRL,2021,494.70203 +World,OWID_WRL,2022,489.7454 +World,OWID_WRL,2023,484.40286 +World,OWID_WRL,2024,473.0065 +Yemen,YEM,2000,656.8915 +Yemen,YEM,2001,659.34064 +Yemen,YEM,2002,657.82495 +Yemen,YEM,2003,658.5366 +Yemen,YEM,2004,658.25684 +Yemen,YEM,2005,658.28094 +Yemen,YEM,2006,658.6271 +Yemen,YEM,2007,658.37476 +Yemen,YEM,2008,658.01526 +Yemen,YEM,2009,657.7778 +Yemen,YEM,2010,703.6082 +Yemen,YEM,2011,694.0419 +Yemen,YEM,2012,711.45685 +Yemen,YEM,2013,712.94116 +Yemen,YEM,2014,723.2376 +Yemen,YEM,2015,713.5417 +Yemen,YEM,2016,694.38666 +Yemen,YEM,2017,669.1358 +Yemen,YEM,2018,590.2579 +Yemen,YEM,2019,585.36584 +Yemen,YEM,2020,578.2313 +Yemen,YEM,2021,589.0411 +Yemen,YEM,2022,584.1584 +Yemen,YEM,2023,586.3192 +Zambia,ZMB,2000,27.237352 +Zambia,ZMB,2001,28.967255 +Zambia,ZMB,2002,29.411764 +Zambia,ZMB,2003,30.048079 +Zambia,ZMB,2004,28.202114 +Zambia,ZMB,2005,29.082775 +Zambia,ZMB,2006,24.793386 +Zambia,ZMB,2007,24.896265 +Zambia,ZMB,2008,25.18363 +Zambia,ZMB,2009,24.266935 +Zambia,ZMB,2010,24.880383 +Zambia,ZMB,2011,24.369017 +Zambia,ZMB,2012,24.252224 +Zambia,ZMB,2013,24.81203 +Zambia,ZMB,2014,42.699722 +Zambia,ZMB,2015,43.671352 +Zambia,ZMB,2016,65.420555 +Zambia,ZMB,2017,125 +Zambia,ZMB,2018,140.66338 +Zambia,ZMB,2019,138.60716 +Zambia,ZMB,2020,135.25935 +Zambia,ZMB,2021,86.90745 +Zambia,ZMB,2022,111.96713 +Zambia,ZMB,2023,110.996925 +Zimbabwe,ZWE,2000,476.39487 +Zimbabwe,ZWE,2001,544.30383 +Zimbabwe,ZWE,2002,487.17947 +Zimbabwe,ZWE,2003,351.53583 +Zimbabwe,ZWE,2004,384.77365 +Zimbabwe,ZWE,2005,419.87183 +Zimbabwe,ZWE,2006,294.4862 +Zimbabwe,ZWE,2007,261.8421 +Zimbabwe,ZWE,2008,226.73657 +Zimbabwe,ZWE,2009,226.33745 +Zimbabwe,ZWE,2010,292.82407 +Zimbabwe,ZWE,2011,377.31735 +Zimbabwe,ZWE,2012,357.37708 +Zimbabwe,ZWE,2013,410.9015 +Zimbabwe,ZWE,2014,396.55176 +Zimbabwe,ZWE,2015,420.22943 +Zimbabwe,ZWE,2016,488.14505 +Zimbabwe,ZWE,2017,403.97348 +Zimbabwe,ZWE,2018,395.5461 +Zimbabwe,ZWE,2019,429.24533 +Zimbabwe,ZWE,2020,371.08792 +Zimbabwe,ZWE,2021,269.54492 +Zimbabwe,ZWE,2022,297.53918 +Zimbabwe,ZWE,2023,298.4356 diff --git a/act/models/carbon_intensity/location.yaml b/models/carbon_intensity/location.yaml similarity index 100% rename from act/models/carbon_intensity/location.yaml rename to models/carbon_intensity/location.yaml diff --git a/act/models/carbon_intensity/location_2022.yaml b/models/carbon_intensity/location_2022.yaml similarity index 57% rename from act/models/carbon_intensity/location_2022.yaml rename to models/carbon_intensity/location_2022.yaml index e072808..fd8b4e0 100644 --- a/act/models/carbon_intensity/location_2022.yaml +++ b/models/carbon_intensity/location_2022.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # carbon intensity of energy production by location "world" : 301 g / kWh "india" : 725 g / kWh @@ -9,4 +15,4 @@ "brazil" : 82 g / kWh "iceland" : 28 g / kWh "japan" : 485 g / kWh -"korea" : 430 g / kWh +"south korea" : 430 g / kWh diff --git a/act/models/carbon_intensity/location_2023.yaml b/models/carbon_intensity/location_2023.yaml similarity index 55% rename from act/models/carbon_intensity/location_2023.yaml rename to models/carbon_intensity/location_2023.yaml index 70f6889..99a5e3b 100644 --- a/act/models/carbon_intensity/location_2023.yaml +++ b/models/carbon_intensity/location_2023.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # carbon intensity of energy production by location "world" : 481 g / kWh "india" : 713 g / kWh @@ -8,5 +14,5 @@ "europe" : 300 g / kWh "brazil" : 98 g / kWh "iceland" : 7.3 g / kWh -"korea" : 402 g / kWh # https://lowcarbonpower.org/region/South_Korea +"south korea" : 402 g / kWh # https://lowcarbonpower.org/region/South_Korea "japan" : 446 g / kWh # https://lowcarbonpower.org/region/Japan diff --git a/act/models/carbon_intensity/source.yaml b/models/carbon_intensity/source.yaml similarity index 57% rename from act/models/carbon_intensity/source.yaml rename to models/carbon_intensity/source.yaml index 17d07b4..51a65d8 100644 --- a/act/models/carbon_intensity/source.yaml +++ b/models/carbon_intensity/source.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # carbon intensity of energy production by energy source "coal" : 820 g / kWh "gas" : 490 g / kWh diff --git a/act/models/dram/dram_hynix.yaml b/models/dram/dram_hynix.yaml similarity index 57% rename from act/models/dram/dram_hynix.yaml rename to models/dram/dram_hynix.yaml index ea5e0e2..43541f3 100644 --- a/act/models/dram/dram_hynix.yaml +++ b/models/dram/dram_hynix.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # DRAM embodied cost per unit storage - E_DRAM in Table 1 "ddr3_50nm" : 600 g / GB "ddr3_40nm" : 315 g / GB diff --git a/act/models/hdd/hdd_consumer.yaml b/models/hdd/hdd_consumer.yaml similarity index 64% rename from act/models/hdd/hdd_consumer.yaml rename to models/hdd/hdd_consumer.yaml index 806cec9..6056cc4 100644 --- a/act/models/hdd/hdd_consumer.yaml +++ b/models/hdd/hdd_consumer.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # HDD embodied cost - E_HDD in Table 1 "BarraCuda": 4.57 g / GB "BarraCuda2": 10.32 g / GB diff --git a/act/models/hdd/hdd_enterprise.yaml b/models/hdd/hdd_enterprise.yaml similarity index 52% rename from act/models/hdd/hdd_enterprise.yaml rename to models/hdd/hdd_enterprise.yaml index 88efda1..ab0e6a2 100644 --- a/act/models/hdd/hdd_enterprise.yaml +++ b/models/hdd/hdd_enterprise.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # HDD embodied cost - E_HDD in Table 1 "Exos2x14": 1.653 g / GB "Exosx12": 1.14 g / GB diff --git a/act/models/logic/README.md b/models/logic/README.md similarity index 100% rename from act/models/logic/README.md rename to models/logic/README.md diff --git a/models/logic/ap_model.yaml b/models/logic/ap_model.yaml new file mode 100644 index 0000000..345d7fc --- /dev/null +++ b/models/logic/ap_model.yaml @@ -0,0 +1,11 @@ +# From public release of imec.netzero data (https://netzero.imec-int.com/) +# +# Application processor manufacturing estimates +28nm: 3.594044444 kg / cm2 +20nm: 3.607066667 kg / cm2 +14nm: 3.800444444 kg / cm2 +10nm: 4.268088889 kg / cm2 +7nm: 5.482044444 kg / cm2 +7nm_EUV: 4.941288889 kg / cm2 +5nm: 5.731822222 kg / cm2 +3nm: 6.399777778 kg / cm2 diff --git a/act/models/logic/epa.yaml b/models/logic/epa.yaml similarity index 56% rename from act/models/logic/epa.yaml rename to models/logic/epa.yaml index daef94a..8539cd7 100644 --- a/act/models/logic/epa.yaml +++ b/models/logic/epa.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # Fab energy costs by die unit area as per Table 1 in ACT paper "28nm" : 0.90 kWh / cm2 "20nm" : 1.200 kWh / cm2 diff --git a/act/models/logic/gpa_95.yaml b/models/logic/gpa_95.yaml similarity index 51% rename from act/models/logic/gpa_95.yaml rename to models/logic/gpa_95.yaml index a9e8ee5..4656702 100644 --- a/act/models/logic/gpa_95.yaml +++ b/models/logic/gpa_95.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # GHG from fab as per Table 1 in ACT paper "28nm" : 175 g / cm2 "20nm" : 190 g / cm2 diff --git a/act/models/logic/gpa_99.yaml b/models/logic/gpa_99.yaml similarity index 51% rename from act/models/logic/gpa_99.yaml rename to models/logic/gpa_99.yaml index db9dcad..804d36c 100644 --- a/act/models/logic/gpa_99.yaml +++ b/models/logic/gpa_99.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # GHG from fab as per Table 1 in ACT paper "28nm" : 100 g / cm2 "20nm" : 110 g / cm2 diff --git a/models/logic/imec-netzero-cpa.yaml b/models/logic/imec-netzero-cpa.yaml new file mode 100644 index 0000000..8974748 --- /dev/null +++ b/models/logic/imec-netzero-cpa.yaml @@ -0,0 +1,10 @@ +# From public release of imec.netzero data (https://netzero.imec-int.com/) +# +# carbon per unit area from publicly available imec.netzero database +"28nm" : 0.91 kg / cm2 +"20nm" : 0.91 kg / cm2 +"14nm" : 0.97 kg / cm2 +"10nm" : 1.09 kg / cm2 +"7nm" : 1.44 kg / cm2 +"5nm" : 1.54 kg / cm2 +"3nm" : 1.75 kg / cm2 diff --git a/act/models/logic/materials.yaml b/models/logic/materials.yaml similarity index 53% rename from act/models/logic/materials.yaml rename to models/logic/materials.yaml index cc07e39..8986925 100644 --- a/act/models/logic/materials.yaml +++ b/models/logic/materials.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # cost of the raw materials - MPA in Table 1 in ACT paper "28nm" : 500 g / cm2 "20nm" : 500 g / cm2 diff --git a/models/materials/materials.yaml b/models/materials/materials.yaml new file mode 100644 index 0000000..a4239e1 --- /dev/null +++ b/models/materials/materials.yaml @@ -0,0 +1,13 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +name: Materials Carbon Intensity Model +materials: + # https://worldsteel.org/climate-action/climate-change-and-the-production-of-iron-and-steel/ + steel: 1.89 kg / kg + + # heatsink carbon manufacturing cost per kg of heatsink + heatsink: 21.7 kg / kg diff --git a/act/models/materials/pcb.yaml b/models/materials/pcb.yaml similarity index 79% rename from act/models/materials/pcb.yaml rename to models/materials/pcb.yaml index aa74e90..fd82ccf 100644 --- a/act/models/materials/pcb.yaml +++ b/models/materials/pcb.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # PCB materials model # data for PCB emissions is not well-documented and sparse so this model is best effort based on the limited publicly available information # based on data from https://www.jstage.jst.go.jp/article/lca/13/3/13_256/_pdf/-char/en diff --git a/act/models/passives/capacitors.yaml b/models/passives/capacitors.yaml similarity index 72% rename from act/models/passives/capacitors.yaml rename to models/passives/capacitors.yaml index 6d17750..217366f 100644 --- a/act/models/passives/capacitors.yaml +++ b/models/passives/capacitors.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # based on https://eprints.whiterose.ac.uk/130419/1/LCA%20and%20EnvProfile%20Evaluations%20of%20Capacitors%20Manuscript%20-%20CLEAN.pdf # assumes emissions cost to manufacture 1 kg of 1 uF capacitors # the numbers here represent one carbon intensity profile diff --git a/models/ssd/ssd_hynix.yaml b/models/ssd/ssd_hynix.yaml new file mode 100644 index 0000000..39636cd --- /dev/null +++ b/models/ssd/ssd_hynix.yaml @@ -0,0 +1,12 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# SSD carbon emissions per unit storage - E_SSD in Table 1 +"nand_30nm": 31 g / GB +"nand_20nm": 15 g / GB +"nand_10nm": 10 g / GB +"nand_tlc_1z": 5.6 g / GB +"nand_tlc_v3": 6.3 g / GB diff --git a/models/ssd/ssd_seagate.yaml b/models/ssd/ssd_seagate.yaml new file mode 100644 index 0000000..1294f0c --- /dev/null +++ b/models/ssd/ssd_seagate.yaml @@ -0,0 +1,10 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +# SSD carbon emissions per unit storage - E_SSD in Table 1 +"seagate_nytro_3530": 6.21 g / GB +"seagate_nytro_1551": 3.948 g / GB +"seagate_nytro_3331": 16.916 g / GB diff --git a/act/models/ssd/ssd_western.yaml b/models/ssd/ssd_western.yaml similarity index 50% rename from act/models/ssd/ssd_western.yaml rename to models/ssd/ssd_western.yaml index 153f548..d2160f3 100644 --- a/act/models/ssd/ssd_western.yaml +++ b/models/ssd/ssd_western.yaml @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + # SSD carbon emissions per unit storage - E_SSD in Table 1 "western_digital_2016": 24.4 g / GB "western_digital_2017": 17.9 g / GB diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..c15a4bc --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,106 @@ +[build-system] +requires = ["setuptools>=68.0", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "act-carbon" +version = "3.0.0" +description = "ACT: Architectural Carbon Modeling Tool for sustainability-driven hardware design exploration" +readme = "README.md" +license = {text = "CC-BY-NC-4.0"} +requires-python = ">=3.10" +authors = [ + {name = "Vincent T. Lee"}, + {name = "Bilge Acun"}, + {name = "Udit Gupta"}, + {name = "Mariam Elgamal"}, + {name = "Gage Hills"}, + {name = "Gu-Yeon Wei"}, + {name = "Hsien-Hsin S. Lee"}, + {name = "David Brooks"}, + {name = "Carole-Jean Wu"}, +] +keywords = ["carbon", "sustainability", "computer-architecture", "design-space-exploration", "embodied-carbon"] +classifiers = [ + "Development Status :: 3 - Beta", + "Intended Audience :: Science/Research", + "License :: Free for non-commercial use", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Scientific/Engineering", +] +dependencies = [ + "dash", + "dash-bootstrap-components", + "htmlark", + "jinja2", + "matplotlib", + "numpy", + "openpyxl", + "pandas", + "pint", + "plotly", + "prettytable", + "pyyaml", + "requests", + "scikit-learn", + "tabulate", +] + +[project.optional-dependencies] +test = [ + "parameterized", +] +scripts = [ + "kaleido", +] + +[project.scripts] +act = "act.act:main" + +[project.urls] +Homepage = "https://github.com/facebookresearch/ACT" + +[tool.setuptools] +packages = [ + "act", + "act.core", + "act.core.dse", + "act.core.gui", + "act.core.gui.cards", + "act.core.gui.plots", + "act.core.metrics", + "act.core.models", + "act.core.scaling", + "act.core.utils", + "act.scripts", + "act.tests", + "act.tools", +] + +[tool.setuptools.package-dir] +"act" = "." +"act.core" = "core" +"act.core.dse" = "core/dse" +"act.core.gui" = "core/gui" +"act.core.gui.cards" = "core/gui/cards" +"act.core.gui.plots" = "core/gui/plots" +"act.core.metrics" = "core/metrics" +"act.core.models" = "core/models" +"act.core.scaling" = "core/scaling" +"act.core.utils" = "core/utils" +"act.scripts" = "scripts" +"act.tests" = "tests" +"act.tools" = "tools" + +[tool.setuptools.package-data] +act = [ + "models/**/*", + "assets/**/*.csv", + "boms/**/*.yaml", + "boms/**/*.xlsx", + "configs/**/*.yaml", + "core/gui/assets/**", +] diff --git a/scripts/.gitignore b/scripts/.gitignore new file mode 100644 index 0000000..ddb7a98 --- /dev/null +++ b/scripts/.gitignore @@ -0,0 +1,5 @@ +*.csv +*.txt +*.npy +*.png +*.html diff --git a/scripts/__init__.py b/scripts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/power_factors.py b/scripts/power_factors.py new file mode 100644 index 0000000..dd38f99 --- /dev/null +++ b/scripts/power_factors.py @@ -0,0 +1,136 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import sys + +import numpy as np + +UNKNOWN = -1 + + +def main(): + with open(sys.argv[1]) as handle: + _data = handle.readlines() + + data = [] + for line in _data: + fields = line.strip().split(",") + data.append(fields) + + np_data = np.array(data) + + headers = [ + "65nm", + "45nm", + "40nm", + "28nm", + "20nm", + "16nm", + "14nm", + "10nm", + "8nm", + "7nm", + "7nm_EUV", + "5nm", + "3nm", + "2nm", + "14a", + "10a", + ] + nheaders = len(headers) + + base_col_idx = 2 + base_row_idx = 3 + + factor_data = np_data[ + base_row_idx : base_row_idx + nheaders, base_col_idx : base_col_idx + nheaders + ] + rows, cols = factor_data.shape + assert rows == cols + + # cast to float + for r in range(rows): + for c in range(cols): + if factor_data[r, c] == "": + factor_data[r, c] = UNKNOWN + factor_data = factor_data.astype(dtype=float) + + for _ in range(nheaders): + reflect_factors(factor_data) + calculate(factor_data) + + # Convert each element in the row to a string and join with a tab + for row in factor_data: + print("\t".join(map(str, row))) + + with open("scale_factors.csv", "w") as handle: + header = ",".join([""] + headers) + handle.write(header + "\n") + for n in range(nheaders): + label = headers[n] + data = [label] + factor_data[n, :].astype(str).tolist() + line = ",".join(data) + handle.write(line + "\n") + + +def reflect_factors(factor_data): + rows, cols = factor_data.shape + for r in range(rows): + for c in range(cols): + if factor_data[r, c] != UNKNOWN: + continue + else: + if factor_data[c, r] is not None: + factor_data[r, c] = 1 / factor_data[c, r] + + +def calculate(factor_data): + rows, cols = factor_data.shape + + # do some jank brute force propagation + for r in range(rows): + for c in range(cols): + if factor_data[r, c] == UNKNOWN: + if c - 1 > 0: + if ( + factor_data[r, c - 1] != UNKNOWN + and factor_data[c, c - 1] != UNKNOWN + ): + factor_data[r, c] = ( + factor_data[r, c - 1] / factor_data[c, c - 1] + ) + continue + if r - 1 > 0: + if ( + factor_data[r - 1, c] != UNKNOWN + and factor_data[r, r - 1] != UNKNOWN + ): + factor_data[r, c] = ( + factor_data[r - 1, c] * factor_data[r, r - 1] + ) + continue + if c + 1 < cols: + if ( + factor_data[r, c + 1] != UNKNOWN + and factor_data[c, c + 1] != UNKNOWN + ): + factor_data[r, c] = ( + factor_data[r, c + 1] / factor_data[c, c + 1] + ) + continue + if r + 1 < rows: + if ( + factor_data[r, r + 1] != UNKNOWN + and factor_data[c, r + 1] != UNKNOWN + ): + factor_data[r, c] = ( + factor_data[r, r + 1] / factor_data[c, r + 1] + ) + continue + + +if __name__ == "__main__": + main() diff --git a/scripts/r740_supply_chain_dse.py b/scripts/r740_supply_chain_dse.py new file mode 100644 index 0000000..d3aafde --- /dev/null +++ b/scripts/r740_supply_chain_dse.py @@ -0,0 +1,252 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +""" +Dell R740 Supply Chain Location Design Space Exploration + +This script explores the carbon emissions impact of relocating the manufacturing +supply chain for a Dell R740 server across different countries. It uses ACT3 +to evaluate how moving all component manufacturing from a baseline location +(Taiwan) to South Korea, Japan, or the United States affects total carbon emissions. + +Results are plotted as a bar chart and saved as a PNG. +""" + +import argparse +import csv +import logging +import os +from dataclasses import dataclass + +import plotly.graph_objects as go +from act.core.act_model import ACTModel +from act.core.bom import BOM +from act.core.scaling.scaling_config import ScalingConfig +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.logger import log, setup_logger + +SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__)) +BOMS_DIR = os.path.join(SCRIPT_DIR, "..", "boms") +BASE_BOM_PATH = os.path.join(BOMS_DIR, "server", "dellr740", "top.yaml") + +# All top-level device path prefixes in the Dell R740 BOM +ALL_DEVICE_PREFIXES = ["cpu", "ssd", "dram"] + +# Manufacturing locations to sweep +LOCATIONS = [ + {"label": "Taiwan\n(Baseline)", "location": "taiwan"}, + {"label": "South Korea", "location": "south korea"}, + {"label": "Japan", "location": "japan"}, + {"label": "United States", "location": "usa"}, +] + + +@dataclass +class DSEResult: + location_label: str + total_carbon_grams: float + + +def run_act_with_scaling( + base_bom_path: str, scaling_config: ScalingConfig | None = None +) -> float: + """Run ACT with optional scaling config and return total carbon in grams.""" + bom_data = load_yaml_with_macros(base_bom_path) + bom = BOM(**bom_data, file=base_bom_path) + model = ACTModel(test=True, scaling_config=scaling_config) + result = model.get_carbon(bom=bom) + return result.total().to("gram").magnitude + + +def make_scaling_config(location: str) -> ScalingConfig: + """Create a ScalingConfig that moves all device paths to the given location.""" + scaling_paths = {} + for prefix in ALL_DEVICE_PREFIXES: + scaling_paths[prefix] = {"location": location} + + return ScalingConfig( + name=f"All components to {location}", + compatible_with=["server/dellr740/top.yaml"], + scaling_paths=scaling_paths, + ) + + +def run_dse(base_bom_path: str) -> list[DSEResult]: + """Run the supply chain location design space exploration.""" + results = [] + + for loc in LOCATIONS: + log.info("Evaluating manufacturing in: %s", loc["label"]) + + try: + if loc["location"] == "taiwan": + # Baseline: use Taiwan as-is (apply scaling to set location explicitly) + scaling_config = make_scaling_config("taiwan") + else: + scaling_config = make_scaling_config(loc["location"]) + + total_carbon = run_act_with_scaling(base_bom_path, scaling_config) + log.info(" Total Carbon: %.2f kg CO2e", total_carbon / 1000.0) + results.append( + DSEResult( + location_label=loc["label"], + total_carbon_grams=total_carbon, + ) + ) + except Exception as e: + log.error(" Failed: %s", e) + + return results + + +def create_plot(results: list[DSEResult], output_path: str) -> None: + """Create a bar chart of carbon emissions by manufacturing location.""" + labels = [r.location_label for r in results] + carbon_kg = [r.total_carbon_grams / 1000.0 for r in results] + + # Use distinct colors: baseline in blue, others in lighter shades + colors = ["#636EFA", "#EF553B", "#00CC96", "#AB63FA"] + + fig = go.Figure() + + fig.add_trace( + go.Bar( + x=labels, + y=carbon_kg, + marker_color=colors[: len(labels)], + ) + ) + + # Add total + delta annotations + baseline_kg = carbon_kg[0] + for i, (label, kg) in enumerate(zip(labels, carbon_kg)): + if i == 0: + text = f"{kg:.1f} kg" + else: + delta_kg = kg - baseline_kg + delta_pct = (delta_kg / baseline_kg) * 100 + sign = "+" if delta_kg >= 0 else "" + text = f"{kg:.1f} kg
({sign}{delta_kg:.1f} kg / {sign}{delta_pct:.1f}%)" + fig.add_annotation( + x=label, + y=kg, + text=text, + showarrow=False, + yshift=22, + font={"size": 14}, + ) + + y_max = max(carbon_kg) * 1.25 + + fig.update_layout( + title={ + "text": "Dell R740 Server Carbon Emissions by Manufacturing Location", + "x": 0.5, + "xanchor": "center", + "font": {"size": 18}, + }, + xaxis_title="Manufacturing Location (All Components)", + yaxis_title="Total Carbon Emissions (kg CO2e)", + template="plotly_white", + font={"size": 14}, + yaxis={"range": [0, y_max], "showgrid": False}, + ) + + fig.write_image(output_path, width=900, height=600, scale=2) + log.info("Plot saved to: %s", output_path) + + pdf_path = output_path.replace(".png", ".pdf") + fig.write_image(pdf_path, width=900, height=600) + log.info("PDF saved to: %s", pdf_path) + + +def print_results_table(results: list[DSEResult]) -> None: + """Print results as a formatted table and export to CSV.""" + baseline_kg = results[0].total_carbon_grams / 1000.0 + + # Print table header + header = ( + f"{'Location':<25} {'Carbon (kg)':<15} {'Delta (kg)':<15} {'Delta (%)':<10}" + ) + log.info("\n" + "=" * len(header)) + log.info(header) + log.info("-" * len(header)) + + for r in results: + kg = r.total_carbon_grams / 1000.0 + delta_kg = kg - baseline_kg + delta_pct = (delta_kg / baseline_kg) * 100 if baseline_kg != 0 else 0 + label = r.location_label.replace("\n", " ") + if delta_kg == 0: + log.info(f"{label:<25} {kg:<15.1f} {'---':<15} {'---':<10}") + else: + log.info(f"{label:<25} {kg:<15.1f} {delta_kg:<+15.1f} {delta_pct:<+10.1f}%") + + log.info("=" * len(header)) + + # Export CSV alongside the plot + csv_path = os.path.join( + os.path.dirname(results[0].location_label) or ".", "r740_supply_chain_dse.csv" + ) + csv_path = "r740_supply_chain_dse.csv" + with open(csv_path, "w", newline="") as f: + writer = csv.writer(f) + writer.writerow(["Location", "Carbon (kg)", "Delta (kg)", "Delta (%)"]) + for r in results: + kg = r.total_carbon_grams / 1000.0 + delta_kg = kg - baseline_kg + delta_pct = (delta_kg / baseline_kg) * 100 if baseline_kg != 0 else 0 + label = r.location_label.replace("\n", " ") + writer.writerow( + [label, f"{kg:.1f}", f"{delta_kg:+.1f}", f"{delta_pct:+.1f}"] + ) + log.info(f"CSV results saved to: {csv_path}") + + +def main() -> None: + parser = argparse.ArgumentParser( + description="Dell R740 supply chain location carbon emissions exploration" + ) + parser.add_argument( + "-o", + "--output", + type=str, + default="r740_supply_chain_dse.png", + help="Output PNG file for the bar chart", + ) + parser.add_argument( + "--base-bom", + type=str, + default=None, + help="Base BOM file (defaults to Dell R740 server)", + ) + parser.add_argument( + "-l", + "--loglevel", + type=str, + default="info", + help="Log level (debug, info, warning, error)", + ) + args = parser.parse_args() + + loglevel = getattr(logging, args.loglevel.upper()) + setup_logger(loglevel=loglevel) + + base_bom_path = args.base_bom if args.base_bom else BASE_BOM_PATH + log.info("Using base BOM: %s", base_bom_path) + + results = run_dse(base_bom_path) + + if results: + create_plot(results, args.output) + print_results_table(results) + else: + log.error("No results were produced") + + +if __name__ == "__main__": + main() diff --git a/setup.sh b/setup.sh index c2ddd07..ab33ab2 100644 --- a/setup.sh +++ b/setup.sh @@ -1,8 +1,8 @@ #!/bin/bash - # Copyright (c) Meta Platforms, Inc. and affiliates. - -# This source code is licensed under the MIT license found in the +# All rights reserved. +# +# This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. export PYTHONPATH=$(pwd)/:$PYTHONPATH diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/act_model_tests.py b/tests/act_model_tests.py new file mode 100644 index 0000000..342378b --- /dev/null +++ b/tests/act_model_tests.py @@ -0,0 +1,117 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import pickle +import time + +from act.core.act_model import ACTModel +from act.core.bom import BOM +from act.core.carbon import SourceType +from act.core.processes import DRAMProcess, HDDProcess, LogicProcess, SSDProcess +from act.core.utils.load_yaml_with_macros import load_yaml_with_macros +from act.core.utils.units import g, GB, kg, mm2, mW, TB +from act.tests.base_test_case import BaseTestCase + + +class ACTModelTests(BaseTestCase): + """Integration tests over the top level ACT model class""" + + def setUp(self): + super().setUp() + + def test_default_args(self): + """Test that the minimal default args work as intended""" + self.test_args.extend(f"-m {self.boms_dir}/tests/empty.yaml".split()) + self.run_act() + + def test_act_model(self): + """Basic ACT model coverage and checks""" + act_model = ACTModel() + file = f"{self.test_dir}/../boms/tests/test.yaml" + + bom = BOM( + **load_yaml_with_macros(file), + file=file, + ) + + carbon = act_model.get_carbon( + bom=bom, + op_power=100 * mW, + duty_cycle=1.0, + ) + self.assertTrue(carbon.total().check(g)) + + mlist = act_model.bom + + # check that the resulting materials list specifications match + logic_dut = mlist.devices["dut"] + self.assertEqual(logic_dut.area, 10 * mm2) + self.assertEqual(logic_dut.fab_yield, 0.87) + self.assertEqual(logic_dut.process, LogicProcess.N14) + + dram_dut = mlist.devices["dram"] + self.assertEqual(dram_dut.size, 1 * GB) + self.assertEqual(dram_dut.fab_yield, 0.9) + self.assertEqual(dram_dut.process, DRAMProcess.DDR4_10NM) + + ssd_dut = mlist.devices["ssd"] + self.assertEqual(ssd_dut.size, 2 * TB) + self.assertEqual(ssd_dut.fab_yield, 0.88) + self.assertEqual(ssd_dut.process, SSDProcess.NAND_10NM) + + hdd_dut = mlist.devices["hdd"] + self.assertEqual(hdd_dut.size, 1 * TB) + self.assertEqual(hdd_dut.fab_yield, 0.92) + self.assertEqual(hdd_dut.process, HDDProcess.BARRACUDA) + + # check the carbon component composition returns non-zero for components that generate a footprint + expected_stypes = [ + SourceType.OPERATION, + SourceType.FABRICATION, + SourceType.PASSIVES, + ] + for stype in expected_stypes: + self.assertTrue(stype in carbon.carbon_by_type.keys()) + self.assertGreater(carbon.partial(stype), 0 * g) + + # check get_fcarbon_by_device returns formatted results + fcarbon = act_model.results.get_fcarbon_by_device(kg) + self.assertIsInstance(fcarbon, dict) + self.assertGreater(len(fcarbon), 0) + for dev_name, dev_dict in fcarbon.items(): + self.assertIsInstance(dev_name, str) + self.assertIsInstance(dev_dict, dict) + for stype_name, formatted_val in dev_dict.items(): + self.assertIsInstance(stype_name, str) + self.assertIsInstance(formatted_val, str) + self.assertIn("kilogram", formatted_val) + + def test_act_serializability(self): + """Enforce that the ACT data structure is serializable to ensure multiprocessing compatibility""" + if "--no-dashboard" in self.test_args: + self.test_args.remove("--no-dashboard") + self.test_args.extend(f"-m {self.boms_dir}/server/mtia/mtia2i.yaml".split()) + act = self.run_act() + + serialized = pickle.dumps(act) + unserialized = pickle.loads(serialized) + + # spot check some fields to ensure proper loading + self.assertEqual(act.cl_macros, unserialized.cl_macros) + self.assertEqual(act.op_power, unserialized.op_power) + self.assertEqual(act.duty_cycle, unserialized.duty_cycle) + + def test_act_run_time(self): + """Bound the run time to prevent run time regressions""" + self.test_args.extend(f"-m {self.boms_dir}/server/mtia/mtia2i.yaml".split()) + start_time = time.time() + act = self.run_act() + end_time = time.time() + + elapsed_time = end_time - start_time + + # make sure analysis remains less than 2 seconds to be fast + self.assertLess(elapsed_time, 2) diff --git a/tests/analysis_tests.py b/tests/analysis_tests.py new file mode 100644 index 0000000..6cd9738 --- /dev/null +++ b/tests/analysis_tests.py @@ -0,0 +1,39 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.carbon_delay_product import CarbonDelayProduct +from act.core.metrics.carbon_energy_product import CarbonEnergyProduct +from act.core.metrics.carbon_energy_squared_product import CarbonEnergySquaredProduct +from act.core.metrics.carbon_squared_energy_product import CarbonSquaredEnergyProduct +from act.core.utils.units import g, J, kg, year +from act.tests.base_test_case import BaseTestCase + + +class AnalysisTests(BaseTestCase): + """Tests over analyses over the results""" + + def setUp(self): + super().setUp() + + def test_metrics_results(self): + """Spot check the basic metrics data structure is properly populated and numbers check out""" + self.test_args.extend( + f"-m {self.boms_dir}/server/dellr740/top.yaml --life-cycle 1 year --duty-cycle 1.0 --op-power 0 W".split() + ) + + act = self.run_act() + + metrics = act.results.metrics + self.assertGreater(len(metrics), 0) + expected_carbon = 1523137.6914285717 * g + + self.assertAlmostEqual(metrics[CarbonDelayProduct.NAME], expected_carbon * year) + self.assertAlmostEqual(metrics[CarbonEnergyProduct.NAME], 0 * kg * J) + self.assertAlmostEqual( + metrics[CarbonSquaredEnergyProduct.NAME], + 0 * kg * kg * J, + ) + self.assertAlmostEqual(metrics[CarbonEnergySquaredProduct.NAME], 0 * kg * J * J) diff --git a/tests/asset_tests.py b/tests/asset_tests.py new file mode 100644 index 0000000..22bf324 --- /dev/null +++ b/tests/asset_tests.py @@ -0,0 +1,111 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import copy +import os + +import pint +from act.core.act_result import BOM_SHEET, CARBON_SHEET, SUMMARY_SHEET +from act.core.carbon import Carbon +from act.core.utils.units import kg +from act.tests.base_test_case import BaseTestCase +from openpyxl import load_workbook + + +class AssetTests(BaseTestCase): + """Tests for ACT asset export and import functionality""" + + def setUp(self): + super().setUp() + + def test_spreadsheet_template_export(self): + """Check that template export for bill of materials works""" + output_file = f"{self.out_dir}/test.xlsx" + base_args = copy.deepcopy(self.test_args) + self.test_args.extend(f"--export-template {output_file}".split()) + template_act = self.run_act() + self.assertTrue(os.path.exists(output_file)) + + # ensure that the template re-imports properly even though it's empty + self.test_args = base_args + self.test_args.extend(f"-m {output_file}".split()) + act = self.run_act() + + def test_spreadsheet_import(self): + """Check that the template import with a populated bill of materials works as expected""" + import_file = f"{self.boms_dir}/tests/test_sheet.xlsx" + self.test_args.extend(f"-m {import_file}".split()) + + act = self.run_act() + + # spot check the loaded bill of materials specification + bom = act.bom + expected_devices = [ + "dut", + "dram", + "ssd", + "hdd", + "cap0", + "fasteners", + "heatsink", + "pcb", + "battery", + ] + for dev in expected_devices: + self.assertIn(dev, bom.devices) + + def test_act_result_and_assets(self): + """Quality control the ACT result spreadsheet result""" + expected_yaml_file = f"{self.out_dir}/test_export.yaml" + expected_xlsx_file = f"{self.out_dir}/test_export.xlsx" + self.test_args.extend( + f"-m {self.boms_dir}/server/dellr740/top.yaml --export-file {expected_yaml_file}".split() + ) + act = self.run_act() + + # check the data structure integrity + results = act.results + self.assertIsNotNone(results.carbon_by_device) + self.assertIsNotNone(results.timestamp) + self.assertIsNotNone(results.duty_cycle) + self.assertIsNotNone(results.life_cycle) + self.assertIsNotNone(results.total_carbon) + + # check unit'ing integrity + for carbon in results.carbon_by_device.values(): + self.assertIsInstance(carbon, Carbon) + for amt in results.carbon_by_category.values(): + self.assertTrue(amt.check(kg)) + self.assertIsInstance(amt, pint.Quantity) + + # check carbon emissions totals add up and are consistent + total = results.total_carbon + total_by_device = sum(results.carbon_by_device.values()).total() + total_by_category = sum(results.carbon_by_category.values()) + self.assertEqual(total.total(), total_by_device) + self.assertEqual(total.total(), total_by_category) + + # spot check the exported assets + self.assertTrue(os.path.exists(expected_yaml_file)) + self.assertTrue(os.path.exists(expected_xlsx_file)) + + # check that the spreadsheet contents are not empty + workbook = load_workbook(expected_xlsx_file) + self.assertIn(SUMMARY_SHEET, workbook) + self.assertIn(CARBON_SHEET, workbook) + self.assertIn(BOM_SHEET, workbook) + + def is_sheet_empty(sheet): + """Check if a spreadsheet sheet is empty.""" + is_empty = [ + cell.value for cells in workbook[sheet].rows for cell in cells + ] == [None] + return is_empty + + # make sure that the sheets are not empty + self.assertFalse(is_sheet_empty(SUMMARY_SHEET)) + self.assertFalse(is_sheet_empty(CARBON_SHEET)) + self.assertFalse(is_sheet_empty(BOM_SHEET)) diff --git a/tests/base_test_case.py b/tests/base_test_case.py new file mode 100644 index 0000000..e7125f9 --- /dev/null +++ b/tests/base_test_case.py @@ -0,0 +1,56 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import logging +import os +import sys +import tempfile +import unittest +from unittest.mock import patch + +from act.act import main +from act.core.act_model import ACTModel +from act.core.common import AbatementLevel +from act.core.models.ci_model import DEFAULT_FAB_LOCATION +from act.core.utils.logger import setup_logger +from act.core.utils.units import kg + + +class BaseTestCase(unittest.TestCase): + def setUp(self): + # temp_dir for tests + self.temp_dir = tempfile.TemporaryDirectory(prefix="act_out_") + self.out_dir = self.temp_dir.name + + self.test_dir = os.path.abspath(os.path.dirname(__file__)) + self.test_args = ["./act", "--test", "--no-dashboard"] + self.boms_dir = f"{self.test_dir}/../boms/" + self.results_dir = f"{self.test_dir}/../results" + self.configs_dir = f"{self.test_dir}/../configs" + + self.gpa = AbatementLevel.GPA95 + self.fab_ci = DEFAULT_FAB_LOCATION + self.act_model = ACTModel(use_legacy=True) + + setup_logger(loglevel=logging.INFO) + + def run_act(self, loglevel=logging.INFO): + setup_logger(loglevel=loglevel) + with patch.object(sys, "argv", self.test_args): + act, dse = main() + if dse is None: + return act + else: + return act, dse + + def _filtered_total(self, prefix, results): + total = 0 * kg + entries = 0 + for sname, carbon in results.items(): + if sname.startswith(prefix): + total += carbon.total() + entries += 1 + return total diff --git a/tests/basic_tests.py b/tests/basic_tests.py new file mode 100644 index 0000000..bb82c31 --- /dev/null +++ b/tests/basic_tests.py @@ -0,0 +1,182 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.common import AbatementLevel, ModelType +from act.core.device_data import DeviceData +from act.core.models.dram_model import DRAMModel +from act.core.models.hdd_model import HDDModel +from act.core.models.imec_logic_model import IMECLogicModel +from act.core.models.logic_model import LogicModel +from act.core.models.ssd_model import SSDModel +from act.core.processes import DRAMProcess, HDDProcess, LogicProcess, SSDProcess +from act.core.utils.units import cm2, g, GB, kg, mm2 +from act.tests.base_test_case import BaseTestCase + + +class BasicModelTests(BaseTestCase): + """Ensures that the original ACT functionality is preserved based on the input/output pairs""" + + def test_default_logic_model(self): + """Ensure that the default legacy ACT model logic results are preserved""" + logic_model = LogicModel(use_legacy=True) + + tp = LogicProcess.N14 + self.assertAlmostEqual( + logic_model.get_cpa(process=tp), + 1556.685714285714 * g / cm2, + ) + self.assertEqual( + logic_model.get_carbon_energy(process=tp), + 699.6 * g / cm2, + ) + self.assertEqual(logic_model.get_carbon_gas(process=tp), 162.5 * g / cm2) + self.assertEqual(logic_model.get_carbon_materials(tp), 500 * g / cm2) + + def test_logic_model_integration(self): + """Ensure that the default configuration that is fed by default to ACT does not change""" + tp = LogicProcess.N10 + gpa = AbatementLevel.GPA95 + fab_ci = "coal" + logic_model = LogicModel() + + self.assertEqual( + logic_model.get_cpa(gpa=gpa, fab_ci=fab_ci, process=tp), + 2228.0 * g / cm2, + ) + self.assertEqual( + logic_model.get_carbon_energy(fab_ci=fab_ci, process=tp), + 1209.5 * g / cm2, + ) + self.assertEqual(logic_model.get_carbon_gas(gpa=gpa, process=tp), 240 * g / cm2) + self.assertEqual(logic_model.get_carbon_materials(tp), 500 * g / cm2) + + def test_basic_dram_model(self): + """Ensure original DRAM model results remain consistent""" + dram_model = DRAMModel() + tp = DRAMProcess.DDR4_10NM + carbon_cost = dram_model.get_carbon( + DeviceData(model=ModelType.DRAM, process=tp, size=str(3 * GB)) + ) + + self.assertEqual(carbon_cost.total(), 222.8571428571429 * g) + + def test_basic_hdd_model(self): + """Ensure original HDD model results remain consistent""" + hdd_model = HDDModel() + hp = HDDProcess.BARRACUDA + size = 3 * GB + fab_yield = 1.0 # the original model doesn't properly account for yield + + carbon_cost = hdd_model.get_carbon( + DeviceData( + process=hp, size=str(size), fab_yield=fab_yield, model=ModelType.HDD + ) + ) + cpg = hdd_model.get_cpg( + hp, fab_yield + ) # the original HDD model doesn't have a yield + + self.assertAlmostEqual(cpg, 4.57 * g / GB) + self.assertAlmostEqual(carbon_cost.total(), 13.71 * g) + + def test_basic_ssd_model(self): + """Ensure SSD model loads and runs correctly""" + fab_yield = 0.9 + ssd_model = SSDModel() + ssd_process = SSDProcess.NAND_10NM + + ssd_carbon = ssd_model.get_carbon( + DeviceData( + process=ssd_process, + size=str(3 * GB), + fab_yield=fab_yield, + model=ModelType.FLASH, + ) + ) + ssd_cpg = ssd_model.get_cpg(process=ssd_process, fab_yield=fab_yield) + self.assertAlmostEqual(ssd_cpg, 10 * g / GB / fab_yield) + self.assertAlmostEqual(ssd_carbon.total(), 30 * g / fab_yield) + + def test_imec_logic_model(self): + """Ensure IMEC logic model loads and computes carbon from CPA data.""" + model = IMECLogicModel() + + # Verify CPA values match the YAML (kg/cm2) at unity yield + self.assertAlmostEqual( + model.get_cpa(LogicProcess.N14, fab_yield=1.0), 0.97 * kg / cm2 + ) + self.assertAlmostEqual( + model.get_cpa(LogicProcess.N7, fab_yield=1.0), 1.44 * kg / cm2 + ) + self.assertAlmostEqual( + model.get_cpa(LogicProcess.N3, fab_yield=1.0), 1.75 * kg / cm2 + ) + + # Verify yield adjustment + self.assertAlmostEqual( + model.get_cpa(LogicProcess.N7, fab_yield=0.5), + 1.44 * kg / cm2 / 0.5, + ) + + # Verify get_carbon produces a valid result + device_data = DeviceData( + area=str(100 * mm2), + process=LogicProcess.N7, + fab_yield=0.9, + model=ModelType.LOGIC, + ) + carbon = model.get_carbon(device_data) + self.assertGreater(carbon.total(), 0 * g) + + # Verify process support + self.assertTrue(model.is_process_supported(LogicProcess.N7)) + self.assertFalse(model.is_process_supported(LogicProcess.N2)) + + def test_imec_vs_logic_model(self): + """Compare IMEC CPA model against legacy EPA+GPA+materials model + on the same device and verify they produce different but valid results.""" + imec_model = IMECLogicModel() + logic_model = LogicModel(use_legacy=True) + + process = LogicProcess.N7 + area = 100 * mm2 + fab_yield = 0.9 + + # Compare CPA values at the same process and yield + imec_cpa = imec_model.get_cpa(process, fab_yield=fab_yield) + logic_cpa = logic_model.get_cpa(process, fab_yield=fab_yield) + + # They should differ since the models use different data sources + self.assertNotEqual(imec_cpa, logic_cpa) + + # Verify IMEC CPA matches expected value (1.44 kg/cm2 / 0.9 yield) + self.assertAlmostEqual(imec_cpa, 1.44 * kg / cm2 / fab_yield) + + # Compare full get_carbon results on the same device + device_data = DeviceData( + area=str(area), + process=process, + fab_yield=fab_yield, + model=ModelType.LOGIC, + ) + imec_carbon = imec_model.get_carbon(device_data) + logic_carbon = logic_model.get_carbon(device_data) + + # Results should differ between the two models + self.assertNotEqual(imec_carbon.total(), logic_carbon.total()) + + def test_imec_logic_model_via_bom(self): + """Ensure IMEC logic model works end-to-end through ACTModel with a BOM.""" + self.test_args.extend(f"-m {self.boms_dir}/tests/imec_logic.yaml".split()) + act = self.run_act() + + total_carbon = act.results.total_carbon.total() + self.assertGreater(total_carbon, 0 * g) + + # Verify the device was processed with the IMEC model + self.assertIn("chip", act.results.carbon_by_device) + chip_carbon = act.results.carbon_by_device["chip"] + self.assertGreater(chip_carbon.total(), 0 * g) diff --git a/tests/bom_coverage_test.py b/tests/bom_coverage_test.py new file mode 100644 index 0000000..32d9ef2 --- /dev/null +++ b/tests/bom_coverage_test.py @@ -0,0 +1,73 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import copy +import glob + +from act.core.utils.logger import log +from act.tests.base_test_case import BaseTestCase +from parameterized import parameterized + +NUM_YAML_TEST_SHARDS = 8 + + +class BOMCoverageTests(BaseTestCase): + """Detects all bill of materials yaml files and runs them through ACT to ensure stability""" + + def setUp(self): + super().setUp() + + @staticmethod + def _chunk_list(cl, n_chunks): + """Return a list of n_chunks number of sublists from cl.""" + return list(cl[i::n_chunks] for i in range(n_chunks)) + + def _detect_test_files(self, extension): + """Glob and test all materials files in the BOM directory.""" + included = set(glob.glob(f"{self.boms_dir}/**/*.{extension}", recursive=True)) + excluded = set( + glob.glob(f"{self.boms_dir}tests/failing/**/*.{extension}", recursive=True) + ) + boms = list(included - excluded) + + self.assertGreater(len(boms), 0) # make sure at least one is detected + return boms + + def _run_bom_coverage_shard(self, shard_index): + """Execute coverage tests over this shard of files.""" + all_bom_yamls = self._detect_test_files(extension="yaml") + self.assertGreater(len(all_bom_yamls), 0) + + # chunk the list into shards + bom_chunks = self._chunk_list(all_bom_yamls, NUM_YAML_TEST_SHARDS) + + # extract those for this test and ensure non-zero chunks + boms = bom_chunks[shard_index] + self.assertGreater(len(boms), 0) + + # run ACT for every detected BOM yaml + base_args = copy.deepcopy(self.test_args) + for bom in boms: + log.info(f"Testing {bom}...") + self.test_args = copy.deepcopy(base_args) + self.test_args.extend(f"-m {bom}".split()) + self.run_act() + + @parameterized.expand([(i,) for i in range(NUM_YAML_TEST_SHARDS)]) + def test_all_bom_execution_shard(self, shard_index): + """Test that all BOM YAML files in the shard execute successfully.""" + self._run_bom_coverage_shard(shard_index) + + def test_all_xlsx_files(self): + """Test that all BOM xlsx spreadsheet files execute successfully.""" + spreadsheets = self._detect_test_files(extension="xlsx") + self.assertGreater(len(spreadsheets), 0) + base_args = copy.deepcopy(self.test_args) + for sheet in spreadsheets: + log.info(f"Testing {sheet}...") + self.test_args = copy.deepcopy(base_args) + self.test_args.extend(f"-m {sheet}".split()) + self.run_act() diff --git a/tests/bom_tests.py b/tests/bom_tests.py new file mode 100644 index 0000000..fbf1437 --- /dev/null +++ b/tests/bom_tests.py @@ -0,0 +1,233 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import copy + +from act.core.carbon import SourceType +from act.core.common import AbatementLevel, DEFAULT_OP_YEAR +from act.core.processes import LogicProcess +from act.core.utils.units import kg, mm2, mW, year +from act.tests.base_test_case import BaseTestCase + + +class BOMTests(BaseTestCase): + """Tests for bill of materials loading, parsing, and configuration""" + + def setUp(self): + super().setUp() + + def test_bom_import(self): + """Test that importing a file works as expected""" + self.test_args.extend(f"-m {self.boms_dir}/tests/test.yaml".split()) + act = self.run_act() + + # ensure the imported devices appear in the result + self.assertTrue("subsystem.imported_cap" in act.results.carbon_by_device) + self.assertTrue("subsystem.imported_si" in act.results.carbon_by_device) + self.assertTrue("subsystem.imported_mat" in act.results.carbon_by_device) + + def test_bom_power_fields(self): + """Test that operating power and CI fields are properly detected from BOM.""" + # test that if a operating power and CI is specified, that the run picks up those values by default + self.test_args.extend(f"-m {self.boms_dir}/tests/op_power.yaml".split()) + act = self.run_act() + + # the run should have autodetected the op power and ci fields + self.assertEqual(act.op_power, 125 * mW) + self.assertEqual(act.op_ci, "japan") + + def test_macros(self): + """Test that macros propagate properly to control BOM.""" + # test that macros propagate properly to control BOM + + # run with base args to ensure default macros work + self.test_args.extend(f"-m {self.boms_dir}/tests/macros.yaml".split()) + base_act = self.run_act() + self.assertEqual(base_act.bom.devices["dut"].area, 25 * mm2) + self.assertEqual(base_act.bom.devices["dut"].process, LogicProcess.N5) + + # pass overrides to check propagation + self.test_args.extend("-D AREA=12.5mm2 PROCESS=14nm".split()) + test_act = self.run_act() + self.assertEqual(test_act.bom.devices["dut"].area, 12.5 * mm2) + self.assertEqual(test_act.bom.devices["dut"].process, LogicProcess.N14) + + def test_recursive_import(self): + """Test that recursive import with proper path delimiters works.""" + # test that the recursive import with proper path delimiters works + self.test_args.extend(f"-m {self.boms_dir}/tests/top.yaml".split()) + act = self.run_act() + + bom = act.bom + expected_materials = ["top_mat", "mid.mid_mat", "mid.bot.bot_mat"] + expected_si = ["top_si", "mid.mid_si", "mid.bot.bot_si"] + expected_caps = ["top_cap", "mid.mid_cap", "mid.bot.bot_cap"] + + # ensure properly hierarchical import with delimiters + for m in expected_materials + expected_si + expected_caps: + self.assertIn(m, bom.devices) + + def test_year_built(self): + """Test that the year built properly changes the carbon intensity of relevant devices.""" + # test that the year that the device was built properly changes the carbon intensity of relevant devices + self.test_args.extend(f"-m {self.boms_dir}/tests/built.yaml".split()) + act = self.run_act() + + # the gas and materials components need to be subtracted out since they are not correlated to CI year + fab_yield = 0.875 + gas_carbon = ( + act.logic_model.gpa_model[AbatementLevel.GPA97][LogicProcess.N7] + * 1 + * mm2 + / fab_yield + ) + materials_carbon = ( + act.logic_model.materials_model[LogicProcess.N7] * 1 * mm2 / fab_yield + ) + logic_2023 = ( + ( + act.results.carbon_by_device["logic_2023"] + .partial(SourceType.FABRICATION) + .to(kg) + ) + - gas_carbon + - materials_carbon + ) + logic_2022 = ( + ( + act.results.carbon_by_device["logic_2022"] + .partial(SourceType.FABRICATION) + .to(kg) + ) + - gas_carbon + - materials_carbon + ) + + # manually check the logic scaled according to the year + logic_multiplier = 644.39636 / 639.26575 + self.assertAlmostEqual(logic_2022 * logic_multiplier, logic_2023) + + # manually check that the capacitor result scaled to the year + cap_2023 = ( + act.results.carbon_by_device["cap_2023"].partial(SourceType.PASSIVES).to(kg) + ) + cap_2022 = ( + act.results.carbon_by_device["cap_2022"].partial(SourceType.PASSIVES).to(kg) + ) + cap_multiplier = 493.58505 / 519.6191 + self.assertAlmostEqual(cap_2022 * cap_multiplier, cap_2023) + + def test_op_year(self): + """Test that the operational year properly affects operational carbon calculations.""" + self.test_args.extend( + f"-m {self.boms_dir}/tests/empty.yaml --op-ci usa --op-power 100 mW".split() + ) + base_args = copy.deepcopy(self.test_args) + + # test with a default year + self.test_args.extend("--op-year 2023".split()) + act_2023 = self.run_act() + + # test with a different year + self.test_args = base_args + self.test_args.extend("--op-year 2022".split()) + act_2022 = self.run_act() + + carbon_2023 = act_2023.results.total_carbon.partial(SourceType.OPERATION) + carbon_2022 = act_2022.results.total_carbon.partial(SourceType.OPERATION) + + # manually calculate the delta factor + delta_factor = 392.848 / 410.3674 + + # check that the power decreased as expected between the two years + self.assertAlmostEqual(carbon_2022 * delta_factor, carbon_2023) + + def test_incomplete_bom(self): + """Ensure that a bill of materials with devices missing fields returns an error and aborts""" + self.test_args.extend( + f"-m {self.boms_dir}/tests/failing/incomplete_device.yaml".split() + ) + + expected_code = -1 + with self.assertRaises(SystemExit) as cm: + self.run_act(expected_code) + self.assertEqual(cm.exception.code, expected_code) + + def test_embodied_and_operational_carbon(self): + """Test devices which have both the embodied and operational power annotated""" + self.test_args.extend(f"-m {self.boms_dir}/tests/emb_op_devices.yaml".split()) + act = self.run_act() + + dut0_carbon = act.results.carbon_by_device["dut0"] + dut1_carbon = act.results.carbon_by_device["dut1"] + + # ensure the devices have both a fabrication and operational component + self.assertGreater(dut0_carbon.partial(SourceType.OPERATION), 0 * kg) + self.assertGreater(dut0_carbon.partial(SourceType.FABRICATION), 0 * kg) + + self.assertGreater(dut1_carbon.partial(SourceType.OPERATION), 0 * kg) + self.assertGreater(dut1_carbon.partial(SourceType.FABRICATION), 0 * kg) + + # check that the individual overrides apply properly + + def test_operational_overrides(self): + """Test that the default operational parameters proapgate properly and are resolved correctly""" + self.test_args.extend(f"-m {self.boms_dir}/tests/op_params.yaml".split()) + no_args_act = self.run_act() + + # the defaults should align with the BOM defaults + default_dev = no_args_act.bom.devices["default_dev"] + self.assertEqual(default_dev.op_ci, "usa") + self.assertEqual(default_dev.life_cycle, 1.5 * year) + self.assertEqual(default_dev.duty_cycle, 0.75) + self.assertEqual(default_dev.op_year, DEFAULT_OP_YEAR) + + def check_overrided_dev(dev): + self.assertEqual(dev.op_ci, "south korea") + self.assertEqual(dev.duty_cycle, 0.66) + self.assertEqual(dev.life_cycle, 0.5 * year) + self.assertEqual(dev.op_year, 2018) + + overrided_dev = no_args_act.bom.devices["override_all"] + check_overrided_dev(overrided_dev) + + # run with command line overrides + cl_op_ci = "canada" + cl_duty_cycle = 0.88 + cl_life_cycle = 1.7 * year + cl_op_year = 2015 + self.test_args.extend( + f"--op-ci {cl_op_ci} --duty-cycle {cl_duty_cycle} --life-cycle {cl_life_cycle} --op-year {cl_op_year}".split() + ) + cl_act = self.run_act() + + default_dev = cl_act.bom.devices["default_dev"] + self.assertEqual(default_dev.op_ci, cl_op_ci) + self.assertEqual(default_dev.life_cycle, cl_life_cycle) + self.assertEqual(default_dev.duty_cycle, cl_duty_cycle) + self.assertEqual(default_dev.op_year, cl_op_year) + + overrided_dev = cl_act.bom.devices["override_all"] + check_overrided_dev(overrided_dev) + + def test_parameters_field(self): + """Test that the parameters field is loaded from the BOM YAML file""" + self.test_args.extend(f"-m {self.boms_dir}/tests/parameters.yaml".split()) + act = self.run_act() + + self.assertIsNotNone(act.bom.parameters) + self.assertEqual(act.bom.parameters["model_override_1"], "value1") + self.assertEqual(act.bom.parameters["model_override_2"], 42) + self.assertIn("nested_config", act.bom.parameters) + self.assertEqual(act.bom.parameters["nested_config"]["setting_a"], True) + self.assertEqual(act.bom.parameters["nested_config"]["setting_b"], 3.14) + + def test_parameters_field_empty(self): + """Test that the parameters field is None when not specified in the BOM""" + self.test_args.extend(f"-m {self.boms_dir}/tests/empty.yaml".split()) + act = self.run_act() + + self.assertIsNone(act.bom.parameters) diff --git a/tests/carbon_tests.py b/tests/carbon_tests.py new file mode 100644 index 0000000..874573c --- /dev/null +++ b/tests/carbon_tests.py @@ -0,0 +1,172 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.carbon import Carbon, SourceType +from act.core.utils.units import g, kg +from act.tests.base_test_case import BaseTestCase + + +class CarbonTests(BaseTestCase): + """Tests for Carbon data structure operations and calculations""" + + def setUp(self): + super().setUp() + + def test_carbon_result(self): + """Coverage over carbon component tracking results""" + x = Carbon(100 * g, SourceType.FABRICATION) + y = Carbon(50 * g, SourceType.MATERIALS) + z = Carbon(75 * g, SourceType.OPERATION) + w = Carbon(32 * g, SourceType.MATERIALS) + + # check add operation over results + radd = w + y + self.assertEqual(radd.total(), 82 * g) + + # check subtract operation over results + rsub = y - w + self.assertEqual(rsub.total(), 18 * g) + + # check multiply by scalar operation over results + scalar = 0.75 + rmul = w * scalar + self.assertEqual(rmul.total(), scalar * 32 * g) + + # check component partials + wxyz = w + x + y + z + self.assertEqual(wxyz.total(), 257 * g) + self.assertEqual(wxyz.partial(SourceType.FABRICATION), 100 * g) + self.assertEqual(wxyz.partial(SourceType.MATERIALS), 82 * g) + self.assertEqual(wxyz.partial(SourceType.OPERATION), 75 * g) + self.assertEqual(wxyz.partial(SourceType.PACKAGING), 0 * g) + + def test_partial_utils(self): + """Test partial retrieval and setting utilities for Carbon objects.""" + # partial either as source or string + x = Carbon(100 * g, SourceType.FABRICATION) + ps = x.partial("fabrication") + pt = x.partial(SourceType.FABRICATION) + + self.assertEqual(ps, 100 * g) + self.assertEqual(pt, 100 * g) + + # set the partial using multiple partials + y = Carbon(50 * g, SourceType.MATERIALS) + z = Carbon(57 * g, SourceType.OPERATION) + w = y + z + w.set_partials(x) + self.assertEqual(w.partial(SourceType.FABRICATION), 100 * g) + self.assertEqual(w.partial(SourceType.OPERATION), 57 * g) + self.assertEqual(w.partial(SourceType.MATERIALS), 50 * g) + + # set a specific partial + a = Carbon( + result_dict={SourceType.FABRICATION: 5 * g, SourceType.OPERATION: 7 * g} + ) + a.set_partial(SourceType.MATERIALS, 9 * g) + a.set_partial("operation", 2 * g) + self.assertEqual(a.partial(SourceType.FABRICATION), 5 * g) + self.assertEqual(a.partial(SourceType.OPERATION), 2 * g) + self.assertEqual(a.partial(SourceType.MATERIALS), 9 * g) + + def test_radd_with_sum(self): + """Test __radd__ via sum() which starts with 0 + first_element""" + x = Carbon(100 * g, SourceType.FABRICATION) + y = Carbon(50 * g, SourceType.MATERIALS) + z = Carbon(75 * g, SourceType.OPERATION) + + result = sum([x, y, z]) + + self.assertEqual(result.total(), 225 * g) + self.assertEqual(result.partial(SourceType.FABRICATION), 100 * g) + self.assertEqual(result.partial(SourceType.MATERIALS), 50 * g) + self.assertEqual(result.partial(SourceType.OPERATION), 75 * g) + + def test_radd_with_zero(self): + """Test __radd__ returns self when adding 0 from the left""" + x = Carbon(100 * g, SourceType.FABRICATION) + self.assertIs(0 + x, x) + + def test_rmul_with_scalar(self): + """Test __rmul__ for left-side scalar multiplication""" + x = Carbon(100 * g, SourceType.FABRICATION) + self.assertEqual((2 * x).total(), 200 * g) + + def test_rmul_with_zero(self): + """Test __rmul__ returns self unchanged when multiplied by 0""" + x = Carbon(100 * g, SourceType.FABRICATION) + self.assertIs(0 * x, x) + + def test_types_method(self): + """Test types() returns all SourceTypes present in the Carbon instance""" + x = Carbon( + result_dict={ + SourceType.FABRICATION: 100 * g, + SourceType.MATERIALS: 50 * g, + SourceType.OPERATION: 75 * g, + } + ) + types = x.types() + + self.assertEqual(len(types), 3) + self.assertIn(SourceType.FABRICATION, types) + self.assertIn(SourceType.MATERIALS, types) + self.assertIn(SourceType.OPERATION, types) + + def test_as_str_dict(self): + """Test as_str_dict() converts carbon data to string-keyed dict""" + x = Carbon(100 * g, SourceType.FABRICATION) + result = x.as_str_dict() + + self.assertIn("fabrication", result) + self.assertIsInstance(result["fabrication"], str) + + def test_to_unit_conversion(self): + """Test to() converts units in-place (1000g -> 1kg)""" + x = Carbon(1000 * g, SourceType.FABRICATION) + x.to(kg) + + self.assertEqual(x.partial(SourceType.FABRICATION).magnitude, 1.0) + self.assertEqual(str(x.partial(SourceType.FABRICATION).units), "kilogram") + + def test_embodied_method(self): + """Test embodied() sums only EMBODIED_SOURCES, excluding OPERATION""" + x = Carbon( + result_dict={ + SourceType.FABRICATION: 100 * g, + SourceType.MATERIALS: 50 * g, + SourceType.PACKAGING: 25 * g, + SourceType.OPERATION: 75 * g, + } + ) + self.assertEqual(x.embodied(), 175 * g) + + def test_op_method(self): + """Test op() sums only OPERATIONAL_SOURCES""" + x = Carbon( + result_dict={ + SourceType.FABRICATION: 100 * g, + SourceType.OPERATION: 75 * g, + } + ) + self.assertEqual(x.op(), 75 * g) + + def test_init_with_none_ctype(self): + """Test __init__ with ctype=None stores amount under None key""" + x = Carbon(100 * g, ctype=None) + + self.assertIn(None, x.types()) + self.assertEqual(x.partial(None), 100 * g) + + def test_add_with_zero(self): + """Test __add__ handles integer 0 as other operand""" + x = Carbon(100 * g, SourceType.FABRICATION) + self.assertEqual((x + 0).total(), 100 * g) + + def test_sub_with_zero(self): + """Test __sub__ handles integer 0 as other operand""" + x = Carbon(100 * g, SourceType.FABRICATION) + self.assertEqual((x - 0).total(), 100 * g) diff --git a/tests/cost_analysis_test.py b/tests/cost_analysis_test.py new file mode 100644 index 0000000..6266548 --- /dev/null +++ b/tests/cost_analysis_test.py @@ -0,0 +1,81 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +from act.core.metrics.cost_analyzer import DEFAULT_COST_PER_KWHR, DEFAULT_OFFSET_COST +from act.core.utils.units import dollar, kWh, ton +from act.tests.base_test_case import BaseTestCase + + +class CostAnalysisTest(BaseTestCase): + """Tests for cost analysis functionality""" + + def setUp(self): + super().setUp() + + def test_cost_analysis_test(self): + """Test the cost analysis logic with default parameters.""" + self.test_args.extend(f"-m {self.boms_dir}/tests/cost_test.yaml".split()) + act = self.run_act() + + # validate the cost analyzer results + cost_analysis = act.cost_analyzer.get_results() + + logic_cost = cost_analysis["logic0"] + + # make sure that the cost value across operation, manufacturing, and offsets populated as non-zero + self.assertGreater(logic_cost.opex, 0 * dollar) + self.assertGreater(logic_cost.opex_offset, 0 * dollar) + self.assertGreater(logic_cost.capex, 0 * dollar) + self.assertGreater(logic_cost.capex_offset, 0 * dollar) + + # spot check the offset costs + carbon = act.results.carbon_by_device["logic0"] + self.assertEqual(logic_cost.capex, act.bom.devices["logic0"].cost) + + self.assertAlmostEqual( + (carbon.embodied() * DEFAULT_OFFSET_COST).to(dollar), + logic_cost.capex_offset, + ) + self.assertAlmostEqual( + (carbon.op() * DEFAULT_OFFSET_COST).to(dollar), logic_cost.opex_offset + ) + + def test_cost_analysis_uses_default_values_when_no_parameters(self): + """Test that default cost values are used when no parameters are specified""" + self.test_args.extend(f"-m {self.boms_dir}/tests/cost_test.yaml".split()) + act = self.run_act() + + self.assertEqual(act.cost_analyzer.cost_per_kwhr, DEFAULT_COST_PER_KWHR) + self.assertEqual(act.cost_analyzer.offset_cost, DEFAULT_OFFSET_COST) + + def test_cost_analysis_with_custom_parameters(self): + """Test that custom cost parameters from BOM are used""" + self.test_args.extend(f"-m {self.boms_dir}/tests/cost_params_test.yaml".split()) + act = self.run_act() + + expected_DEFAULT_ELECTRICITY_COST = 0.25 * dollar / kWh + expected_offset_cost = 10.0 * dollar / ton + + self.assertEqual( + act.cost_analyzer.cost_per_kwhr.to(dollar / kWh), + expected_DEFAULT_ELECTRICITY_COST.to(dollar / kWh), + ) + self.assertEqual( + act.cost_analyzer.offset_cost.to(dollar / ton), + expected_offset_cost.to(dollar / ton), + ) + + cost_analysis = act.cost_analyzer.get_results() + logic_cost = cost_analysis["logic0"] + carbon = act.results.carbon_by_device["logic0"] + + self.assertAlmostEqual( + (carbon.embodied() * expected_offset_cost).to(dollar), + logic_cost.capex_offset, + ) + self.assertAlmostEqual( + (carbon.op() * expected_offset_cost).to(dollar), logic_cost.opex_offset + ) diff --git a/tests/delta_plot_tests.py b/tests/delta_plot_tests.py new file mode 100644 index 0000000..ed2c84a --- /dev/null +++ b/tests/delta_plot_tests.py @@ -0,0 +1,150 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +import copy +import logging + +from act.core.common import ModelType +from act.core.gui.plots.delta_carbon_barchart import DeltaCarbonBarchart +from act.core.gui.plots.delta_carbon_table import DeltaCarbonTable +from act.core.gui.plots.delta_cost_barchart import DeltaCostBarchart +from act.core.gui.plots.delta_cost_table import DeltaCostTable +from act.tests.base_test_case import BaseTestCase + + +class DeltaPlotTest(BaseTestCase): + """Tests for delta comparison plot generation""" + + @classmethod + def setUpClass(cls): + cls._base_sim = None + cls._delta_sim = None + + def setUp(self): + super().setUp() + if DeltaPlotTest._base_sim is None: + base_args = copy.deepcopy(self.test_args) + self.test_args.extend(f"-m {self.boms_dir}/tests/test.yaml".split()) + DeltaPlotTest._base_sim = self.run_act(loglevel=logging.WARNING) + + self.test_args = base_args + self.test_args.extend(f"-m {self.boms_dir}/tests/manual.yaml".split()) + DeltaPlotTest._delta_sim = self.run_act(loglevel=logging.WARNING) + + self.base_sim = DeltaPlotTest._base_sim + self.delta_sim = DeltaPlotTest._delta_sim + + def test_barcharts_init_stores_sims(self): + """Test that barchart objects store simulation references correctly.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + + for chart in [carbon_chart, cost_chart]: + self.assertEqual(chart.base_sim, self.base_sim) + self.assertEqual(chart.delta_sims, [self.delta_sim]) + + def test_all_plots_return_empty_for_none_sim(self): + """Test that all plot types return empty results for None simulation.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + carbon_table = DeltaCarbonTable(self.base_sim, [self.delta_sim]) + cost_table = DeltaCostTable(self.base_sim, [self.delta_sim]) + + self.assertEqual(carbon_chart.make_stacked_barchart_data(None), {}) + self.assertEqual(cost_chart.make_stacked_barchart_data(None), {}) + self.assertEqual(carbon_table.get_carbon_by_device(None), {}) + self.assertEqual(carbon_table.get_carbon_by_subsystem(None), {}) + self.assertEqual(cost_table.get_cost_by_device(None), {}) + self.assertEqual(cost_table.get_cost_by_subsystem(None), {}) + + def test_all_plots_return_dict_for_valid_sim(self): + """Test that all plot types return populated dicts for valid simulations.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + carbon_table = DeltaCarbonTable(self.base_sim, [self.delta_sim]) + cost_table = DeltaCostTable(self.base_sim, [self.delta_sim]) + + self.assertIsInstance( + carbon_chart.make_stacked_barchart_data(self.base_sim), dict + ) + self.assertIsInstance( + cost_chart.make_stacked_barchart_data(self.base_sim), dict + ) + self.assertIsInstance(carbon_table.get_carbon_by_device(self.base_sim), dict) + self.assertIsInstance(cost_table.get_cost_by_device(self.base_sim), dict) + self.assertGreater(len(carbon_table.get_carbon_by_device(self.base_sim)), 0) + self.assertGreater(len(cost_table.get_cost_by_device(self.base_sim)), 0) + + def test_barcharts_generate_stacked_bar_traces(self): + """Test that barcharts generate valid stacked bar traces and annotations.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + + for chart in [carbon_chart, cost_chart]: + barchart_data = chart.make_stacked_barchart_data(self.base_sim) + traces, annotations = chart.generate_stacked_bar_traces( + barchart_data, "Baseline" + ) + self.assertIsInstance(traces, dict) + self.assertIsInstance(annotations, list) + + def test_barcharts_relocate_identical_values(self): + """Test that barcharts properly relocate identical values between datasets.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + + for chart in [carbon_chart, cost_chart]: + data1 = chart.make_stacked_barchart_data(self.base_sim) + data2 = chart.make_stacked_barchart_data(self.delta_sim) + sorted1, sorted2 = chart.relocate_identical_values(data1, data2) + self.assertIsInstance(sorted1, dict) + self.assertIsInstance(sorted2, dict) + + def test_barcharts_get_html_returns_string(self): + """Test that barcharts return valid HTML string output.""" + carbon_chart = DeltaCarbonBarchart(self.base_sim, [self.delta_sim]) + cost_chart = DeltaCostBarchart(self.base_sim, [self.delta_sim]) + + for chart in [carbon_chart, cost_chart]: + html = chart.get_html() + self.assertIsInstance(html, str) + self.assertIn("