Migrated OpenCSP to GitHub

CONTRIBUTING.md

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+Contributing to OpenCSP
+=======================
+
+Online Documentation
+--------------------
+
+Detailed contribution guidelines may be found in our [online documentation](
+https://github.com/sandialabs/OpenCSP/blob/main/doc/source/contributing.rst).
+
+Legal Disclaimer
+----------------
+
+By contributing to this software project, you are agreeing to the
+following terms and conditions for your contributions:
+
+1. You agree your contributions are submitted under the Apache 2.0 license.
+2. You represent you are authorized to make the contributions and grant
+   the license. If your employer has rights to intellectual property that
+   includes your contributions, you represent that you have received
+   permission to make contributions and grant the required license on
+   behalf of that employer.

Dockerfile

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+ARG BASE_IMAGE_ARG=registry.access.redhat.com/ubi8:latest
+FROM ${BASE_IMAGE_ARG}
+
+RUN yum -y install python3.11 \
+    python3.11-pip \
+    mesa-libGL \
+    python3.11-tkinter \
+    python3-xvfbwrapper \
+    xz
+
+# Installing ffmpeg via relies on the rpmfusion repo and SDL2
+# The SDL2 yum package is not currently available in ubi8
+# Consequently, we download and install ffmpeg as a statically
+# linked binary below.
+WORKDIR /code
+RUN curl -O https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz
+RUN tar -xf ffmpeg-*-amd64-static.tar.xz && \
+    cp /code/ffmpeg-*-amd64-static/ffmpeg /usr/local/bin && \
+    cp /code/ffmpeg-*-amd64-static/ffprobe /usr/local/bin    
+
+ENV PYTHONPATH=/code
+
+COPY requirements.txt /code/
+RUN python3 -m pip install -r requirements.txt

OpenCSP_code_license.txt

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+
+All files in this directory tree are licensed by the 
+Apache 2.0 license:
+
+https://www.apache.org/licenses/LICENSE-2.0
+https://www.apache.org/licenses/LICENSE-2.0.txt
+
+
+----------------------------------------------------
+
+
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README.md

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+# Open CSP
+
+This is the collection of library and application code, originally started at the Sandia Laboratories National Solar Thermal Test Facility (NSTTF), to create one place for the CSP community to develop python packages.
+
+# app
+
+Top-level application code, organized in directories.
+
+# common
+
+General-purpose code and data to support writing a variety of applications.
+Code in app, example, and wip may call code in common/lib, but not vice versa.
+
+# doc
+
+Sphinx documentation that will soon be available on readthedocs.org.
+
+# example
+
+Example uses of the code, possibly complex.
+(Tests cases also provide a rich set of simpler examples; these are distributed throughout the source code.)

conftest.py

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+#
+# Ensure pytest adds root directory to the system path. 
+#

contrib/README.md

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+# Contributed code
+
+Code under this directory is not actively maintained by the OpenCSP team.
+
+This is experimental code, still in early stages of exploration and development.

contrib/app/README.md

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+# Contributed code
+
+Code under this directory is not actively maintained by the OpenCSP team.
+
+This is experimental code, still in early stages of exploration and development.
+
+## sofast
+
+Example sofast scripts.
+
+## ufacet-s
+
+High-speed scanning of a heliostat field with a flying drone, to assess heliostat state of health and measure optical error.

contrib/app/sofast/README.md

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+# SOFAST Contributed Example Suite
+
+Code under this directory is not actively maintained by the OpenCSP team.
+
+This is experimental code, still in early stages of exploration and development.
+
+These examples require additional hardware and data.
+
+The Sofast Contributed example suite contains:
+1. Example files that provide examples on how to use Sofast to collect data and process already collected data.
+2. Files that can be used to test Sofast's processing on previously processed data using the full-resolution data in the sample data suite.
+
+## Example file description:
+| File | Description |
+| :--- | :--- |
+| run_and_characterize_sofast_1_cam.py | Runs Sofast (requires camera/projector/etc.) with a single camera and characterizes data as a single facet data collection. |
+| run_and_characterize_sofast_2_cam.py | Runs Sofast (requires two cameras/projector/etc.) with two cameras simultaneously and characterizes data as a single facet data collection |
+
+## Full-resolution testing with Sofast sample data:
+| File | Description |
+| :--- | :--- |
+| generate_processed_datasets.py | Loads measurement files from the Sofast sample data suite, characterizes with Sofast, and saves output data |
+| run_full_calibration_manual.py | Runs a manual Sofast calibration using previously captured calibration data from the Sofast sample data suite |