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---
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name: Bug report
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about: Create a report to help us improve
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title: ''
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labels: bug
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assignees: ''
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---
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**Describe the bug**
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A clear and concise description of what the bug is.
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**To Reproduce**
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Steps to reproduce the behavior.
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**Expected behavior**
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A clear and concise description of what you expected to happen.
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**Please complete the following information about the solution:**
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- [ ] Version: [e.g. v1.0.0]
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To get the version of the solution, you can look at the description of the created CloudFormation stack. For example, "(SO0170) Maintaining Personalized Experiences with Machine Learning [...]".
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- [ ] Region: [e.g. us-east-1]
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- [ ] Was the solution modified from the version published on this repository?
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- [ ] If the answer to the previous question was yes, are the changes available on GitHub?
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- [ ] Have you checked your [service quotas](https://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html) for the sevices this solution uses?
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- [ ] Were there any errors in the CloudWatch Logs?
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**Screenshots**
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If applicable, add screenshots to help explain your problem (please **DO NOT include sensitive information**).
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**Additional context**
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Add any other context about the problem here.
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---
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name: Feature request
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about: Suggest an idea for this solution
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title: ''
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labels: enhancement
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assignees: ''
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---
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**Is your feature request related to a problem? Please describe.**
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
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**Describe the feature you'd like**
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A clear and concise description of what you want to happen.
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**Additional context**
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Add any other context or screenshots about the feature request here.

.github/PULL_REQUEST_TEMPLATE.md

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*Issue #, if available:*
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*Description of changes:*
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By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

.gitignore

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# Modified based on https://www.gitignore.io/api/visualstudiocode,python
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# compiled output
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**/global-s3-assets
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**/regional-s3-assets
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**/build-s3-assets
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**/open-source
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**/tmp
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# Python Distribution / packaging
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*.egg-info/
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*.egg
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# Python Virtual Environments
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**/venv*
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**/.venv*
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.python-version
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## Python Testing
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**/.pytest_cache
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**/.coverage
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**/coverage-reports/
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# linting, scanning configurations, sonarqube
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.scannerwork/
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### VisualStudioCode ###
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.vscode/*
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### IntelliJ/ PyCharm ###
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**/.idea/*
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# System Files
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**/.DS_Store
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# CDK
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**/cdk.out
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# Glue
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.glue/*
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# Generated test assets
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source/infrastructure/tests/assets/*
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!source/infrastructure/tests/assets/.keep
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source/aws_lambda/get_next_scheduled_event/.gradle
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source/aws_lambda/get_next_scheduled_event/build
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source/aws_lambda/get_next_scheduled_event/.idea
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# gradle build files
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**/.gradle/*
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# java build files
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**/java/**/build
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# python build files
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source/cdk_solution_helper_py/helpers_cdk/build/*
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source/cdk_solution_helper_py/helpers_common/build/*

CHANGELOG.md

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# Change Log
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.0.0] - 2021-09-23
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### Added
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- All files, initial version

CODE_OF_CONDUCT.md

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## Code of Conduct
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This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
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For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
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This project has adopted the [Amazon Open Source Code of Conduct](https://aws.github.io/code-of-conduct).
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For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq) or contact
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[email protected] with any additional questions or comments.

CONTRIBUTING.md

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We welcome you to use the GitHub issue tracker to report bugs or suggest features.
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When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already
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When filing an issue, please check [existing open](https://github.com/aws-solutions/maintaining-personalized-experiences-with-machine-learning/issues), or [recently closed](https://github.com/aws-solutions/maintaining-personalized-experiences-with-machine-learning/issues?utf8=%E2%9C%93&q=is%3Aissue%20is%3Aclosed%20), issues to make sure somebody else hasn't already
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reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
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* A reproducible test case or series of steps
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## Contributing via Pull Requests
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Contributions via pull requests are much appreciated. Before sending us a pull request, please ensure that:
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1. You are working against the latest source on the *main* branch.
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1. You are working against the latest source on the *master* branch.
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2. You check existing open, and recently merged, pull requests to make sure someone else hasn't addressed the problem already.
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3. You open an issue to discuss any significant work - we would hate for your time to be wasted.
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To send us a pull request, please:
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1. Fork the repository.
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2. Modify the source; please focus on the specific change you are contributing. If you also reformat all the code, it will be hard for us to focus on your change.
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3. Ensure local tests pass.
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4. Commit to your fork using clear commit messages.
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5. Send us a pull request, answering any default questions in the pull request interface.
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6. Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.
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3. Ensure all build processes execute successfully (see README.md for additional guidance).
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4. Ensure all unit, integration, and/or snapshot tests pass, as applicable.
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5. Commit to your fork using clear commit messages.
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6. Send us a pull request, answering any default questions in the pull request interface.
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7. Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.
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GitHub provides additional document on [forking a repository](https://help.github.com/articles/fork-a-repo/) and
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[creating a pull request](https://help.github.com/articles/creating-a-pull-request/).
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## Finding contributions to work on
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Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels (enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any 'help wanted' issues is a great place to start.
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Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels ((enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any ['help wanted'](https://github.com/aws-solutions/maintaining-personalized-experiences-with-machine-learning/labels/help%20wanted) issues is a great place to start.
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## Code of Conduct
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## Security issue notifications
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If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public github issue.
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If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public GitHub issue.
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## Licensing
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See the [LICENSE](LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
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See the [LICENSE](https://github.com/aws-solutions/maintaining-personalized-experiences-with-machine-learning/blob/master/LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
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We may ask you to sign a [Contributor License Agreement (CLA)](http://en.wikipedia.org/wiki/Contributor_License_Agreement) for larger changes.

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of any other Contributor, and only if You agree to indemnify,
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defend, and hold each Contributor harmless for any liability
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incurred by, or claims asserted against, such Contributor by reason
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of your accepting any such warranty or additional liability.
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of your accepting any such warranty or additional liability.

NOTICE

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NOTICE.txt

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Maintaining Personalized Experiences with Machine Learning
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Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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Licensed under the Apache License Version 2.0 (the "License"). You may not use this file except
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in compliance with the License. A copy of the License is located at http://www.apache.org/licenses/
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or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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**********************
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THIRD PARTY COMPONENTS
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**********************
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This software includes third party software subject to the following copyrights:
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Apache Avro under the Apache License 2.0
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AWS Lambda Java Support Libraries under the Apache License Version 2.0
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AWS Lambda Powertools for Python under the MIT No Attribution license
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AWS SDK under the Apache License Version 2.0
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boto3 under the Apache License Version 2.0
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black under the Massachusetts Institute of Technology (MIT) license
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click under the BSD 3-Clause license
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coverage under the Apache License Version 2.0
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crhelper under the Apache License Version 2.0
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cronex under the Massachusetts Institute of Technology (MIT) license
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docker-py under the Apache License Version 2.0
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Gradle under the Apache License Version 2.0
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jmespath under the Apache License Version 2.0
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junit under the Eclipse Public License Version 2.0
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moto under the Apache License Version 2.0
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pytest under the Massachusetts Institute of Technology (MIT) license
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pytest-cov under the Massachusetts Institute of Technology (MIT) license
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pytest-mock under the Massachusetts Institute of Technology (MIT) license
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pytest-env under the Massachusetts Institute of Technology (MIT) license
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PyYAML under the Massachusetts Institute of Technology (MIT) license
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requests under the Apache License Version 2.0
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requests-mock under the Apache License Version 2.0
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tenacity under the Apache License Version 2.0
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quartz-scheduler under the Apache License Version 2.0
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The Apache License Version Version 2.0 is included in LICENSE.txt.

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