NatLabRockies · misi9170 · Apr 10, 2024 · Jan 31, 2024 · Feb 7, 2024 · Feb 8, 2024
diff --git a/.codecov.yml b/.codecov.yml
diff --git a/.github/workflows/continuous-integration-workflow.yaml b/.github/workflows/continuous-integration-workflow.yaml
@@ -23,23 +23,18 @@ jobs:
         python -m pip install --upgrade pip
         pip install -e ".[develop]"
     - uses: pre-commit/action@v3.0.0
-    - name: Run tests and collect coverage
+    - name: Run tests
       run: |
         # -rA displays the captured output for all tests after they're run
         # See the docs: https://doc.pytest.org/en/latest/reference/reference.html#command-line-flags
         pytest -rA tests/
-    - name: Generate coverage report
-      # Run these tests on unit tests only so that we avoid inflating our code
-      # coverage through the regression tests
+    - name: Run coverage
       if: matrix.os == 'ubuntu-latest'
       run: |
-        pip install pytest
-        pip install pytest-cov
-        pytest --cov=./ --cov-report=xml tests/
-    - name: Upload coverage to Codecov
-      if: ${{ env.CODECOV_TOKEN }}  # Don't attempt to upload if the codecov token is not configured
-      uses: codecov/codecov-action@v3
+        pip install pytest pytest-cov
+        coverage run -m pytest tests/
+    - name: Upload coverage to coveralls
+      if: matrix.os == 'ubuntu-latest'
+      uses: coverallsapp/github-action@v2
       with:
-        token: ${{ secrets.CODECOV_TOKEN }}
-        files: ./coverage.xml
-        fail_ci_if_error: true
+        github-token: ${{ secrets.GITHUB_TOKEN }}
diff --git a/LICENSE.txt b/LICENSE.txt
@@ -1,201 +1,26 @@
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diff --git a/NOTICE.txt b/NOTICE.txt
diff --git a/README.md b/README.md
@@ -20,7 +20,7 @@ For technical questions or concerns, please email paul.fleming@nrel.gov.
 
 [![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)
 
-[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![License](https://img.shields.io/badge/License-BSD_3--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
 
 ## Installation
 
@@ -52,14 +52,29 @@ space to show off the things you are doing with FLORIS.
 
 # License
 
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
+BSD 3-Clause License
 
-   **http://www.apache.org/licenses/LICENSE-2.0**
+Copyright (c) 2024, Alliance for Sustainable Energy LLC, All rights reserved.
 
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
+Redistribution and use in source and binary forms, with or without modification, are permitted
+provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this list of conditions
+and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice, this list of
+conditions and the following disclaimer in the documentation and/or other materials provided
+with the distribution.
+
+* Neither the name of the copyright holder nor the names of its contributors may be used to
+endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
+IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER
+OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
+OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
diff --git a/docs/_toc.yml b/docs/_toc.yml
@@ -12,7 +12,7 @@ parts:
 
   - caption: User Referece
     chapters:
-    - file: data_processing
+    # - file: data_processing
     - file: energy_ratio
     - file: total_uplift
     - file: licensing
diff --git a/docs/data_processing.rst b/docs/data_processing.rst
@@ -203,7 +203,7 @@ done by:
 
  .. code-block:: python
 
-    ws_pow_filtering.window_add(
+    FlascFilter.window_add(
         ws_range=[0.0, 10.2],
         pow_range=[3100.0, 3200.0],
         axis=0,
@@ -221,7 +221,7 @@ faulty and removed.
 
 The second method for data filtering is by looking at the deviation of
 measurements in comparison to the nominal power curve. This filtering method
-is enforced by the ``ws_pow_filtering.filter_by_power_curve()`` function.
+is enforced by the ``FlascFilter.filter_by_power_curve()`` function.
 In the figure above, the allowable deviations from the median power curve
 are denoted in the brown and pink dashed line.
 

diff --git a/docs/installation.md b/docs/installation.md
@@ -1,4 +1,4 @@
-# Installation
+<!-- # Installation
 
 FLASC is currently not available as a package on any repository manager.
 Instead, it must be installed by the user by cloning the GitHub repository.
@@ -37,7 +37,7 @@ pre-commit install
 If everything is configured correctly, any changes made to the source
 code will be available directly through your local Python. Remember
 to re-import the FLASC module when changes are made if you are working
-in an interactive environment like Jupyter.
+in an interactive environment like Jupyter. -->
 
 # Installation
 
@@ -63,7 +63,7 @@ in an interactive environment like Jupyter.
 ## Installation for developers
 
 A more complete installation is recommended if interested in developing FLASC.
-Recommended apprach is to:
+Recommended approach is to:
 
 1. Declare a new directory to be the root folder, for example FLASC/
 2. Setup a new virtual environement with venv or conda and activate