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FLASC v2.0
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.codecov.yml

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.github/workflows/continuous-integration-workflow.yaml

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python -m pip install --upgrade pip
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pip install -e ".[develop]"
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- uses: pre-commit/action@v3.0.0
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- name: Run tests and collect coverage
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- name: Run tests
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run: |
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# -rA displays the captured output for all tests after they're run
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# See the docs: https://doc.pytest.org/en/latest/reference/reference.html#command-line-flags
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pytest -rA tests/
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- name: Generate coverage report
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# Run these tests on unit tests only so that we avoid inflating our code
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# coverage through the regression tests
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- name: Run coverage
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if: matrix.os == 'ubuntu-latest'
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run: |
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pip install pytest
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pip install pytest-cov
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pytest --cov=./ --cov-report=xml tests/
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- name: Upload coverage to Codecov
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if: ${{ env.CODECOV_TOKEN }} # Don't attempt to upload if the codecov token is not configured
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uses: codecov/codecov-action@v3
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with:
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token: ${{ secrets.CODECOV_TOKEN }}
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files: ./coverage.xml
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fail_ci_if_error: true
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pip install pytest pytest-cov
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coverage run -m pytest tests/
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# - name: Upload coverage to coveralls
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# if: matrix.os == 'ubuntu-latest'
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# uses: coverallsapp/github-action@v2
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# with:
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# github-token: ${{ secrets.GITHUB_TOKEN }}

.gitignore

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SMARTEOLE_WakeSteering_ReadMe.xlsx
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SMARTEOLE_WakeSteering_Map.pdf
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SMARTEOLE-WFC-open-dataset.zip
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examples_artificial_data/03_energy_ratio/heterogeneity_layouts.pdf

LICENSE.txt

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NOTICE.txt

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README.md

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[![Automated tests & code coverage](https://github.com/NREL/flasc/actions/workflows/continuous-integration-workflow.yaml/badge.svg)](https://github.com/NREL/flasc/actions/workflows/continuous-integration-workflow.yaml)
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[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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[![License](https://img.shields.io/badge/License-BSD_3--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
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## Installation
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# License
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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BSD 3-Clause License
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**http://www.apache.org/licenses/LICENSE-2.0**
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Copyright (c) 2024, Alliance for Sustainable Energy LLC, All rights reserved.
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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Redistribution and use in source and binary forms, with or without modification, are permitted
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provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this list of conditions
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and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice, this list of
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conditions and the following disclaimer in the documentation and/or other materials provided
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with the distribution.
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endorse or promote products derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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docs/_toc.yml

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- caption: User Referece
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chapters:
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- file: data_processing
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# - file: data_processing
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- file: energy_ratio
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- file: total_uplift
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- file: licensing

docs/data_processing.rst

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.. code-block:: python
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ws_pow_filtering.window_add(
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FlascFilter.window_add(
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axis=0,
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The second method for data filtering is by looking at the deviation of
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measurements in comparison to the nominal power curve. This filtering method
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is enforced by the ``ws_pow_filtering.filter_by_power_curve()`` function.
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is enforced by the ``FlascFilter.filter_by_power_curve()`` function.
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In the figure above, the allowable deviations from the median power curve
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are denoted in the brown and pink dashed line.
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