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chore: Remove py39, add py313 and 314 (#26)
I addition to #24, this one adds full support for python 3.13 and python 3.14 and drops support for 3.9 (because it is EOL). Pandas is now supports up to python 3.14, which was the blocker for supporting these version in `tab-err`. See: - https://pyreadiness.org/3.9/ - https://pyreadiness.org/3.13 - https://pyreadiness.org/3.14 --------- Signed-off-by: Sebastian Jäger <git@sebastian-jaeger.me>
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‎.github/workflows/mypy.yaml‎

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fail-fast: true
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matrix:
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os: ["ubuntu-latest", "macos-latest", "windows-latest"]
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python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
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python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
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runs-on: ${{ matrix.os }}
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steps:
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#----------------------------------------------
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# check-out repo and set-up python
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#----------------------------------------------
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- name: Check out repository
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uses: actions/checkout@v4
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uses: actions/checkout@v6
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- name: Set up python ${{ matrix.python-version }}
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id: setup-python
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uses: actions/setup-python@v5
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uses: actions/setup-python@v6
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with:
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python-version: ${{ matrix.python-version }}
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#----------------------------------------------
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# ----- install uv -----
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#----------------------------------------------
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- name: Install uv
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uses: astral-sh/setup-uv@v5
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uses: astral-sh/setup-uv@v7
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with:
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enable-cache: true
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version: "0.7.3"
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#----------------------------------------------
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# ----- setup matchers & run mypy -----

‎.github/workflows/publish.yaml‎

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# check-out repo and set-up python
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#----------------------------------------------
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python 3.9
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uses: actions/setup-python@v5
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uses: actions/checkout@v6
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- name: Set up Python 3.10
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uses: actions/setup-python@v6
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with:
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python-version: "3.9"
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python-version: "3.10"
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#----------------------------------------------
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# ----- install uv -----
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#----------------------------------------------
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- name: Install uv
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uses: astral-sh/setup-uv@v5
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with:
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version: "0.7.3"
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uses: astral-sh/setup-uv@v7
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#----------------------------------------------
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# install dependencies and build packages

‎.github/workflows/ruff.yaml‎

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fail-fast: true
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matrix:
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os: ["ubuntu-latest", "macos-latest", "windows-latest"]
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python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
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python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
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runs-on: ${{ matrix.os }}
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steps:
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#----------------------------------------------
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# check-out repo and set-up python
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#----------------------------------------------
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- name: Check out repository
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uses: actions/checkout@v4
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uses: actions/checkout@v6
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- name: Set up python ${{ matrix.python-version }}
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id: setup-python
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uses: actions/setup-python@v5
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uses: actions/setup-python@v6
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with:
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python-version: ${{ matrix.python-version }}
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‎.github/workflows/tests.yaml‎

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# Check out repo and set up Python
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#----------------------------------------------
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- name: Check out repository
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uses: actions/checkout@v4
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uses: actions/checkout@v6
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- name: Set up Python ${{ matrix.python-version }}
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id: setup-python
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uses: actions/setup-python@v5
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uses: actions/setup-python@v6
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with:
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python-version: ${{ matrix.python-version }}
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#----------------------------------------------
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# Install uv
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#----------------------------------------------
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- name: Install uv
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uses: astral-sh/setup-uv@v5
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uses: astral-sh/setup-uv@v7
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with:
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enable-cache: true
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version: "0.7.3"
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#----------------------------------------------
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# Run Pytest

‎.pre-commit-config.yaml‎

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default_language_version:
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python: python3.9
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python: python3.10
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repos:
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.8.0
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rev: v0.9.21
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hooks:
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# Run the linter and fix issues ...
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- id: ruff

‎README.md‎

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# `tab_err`
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<h1 align="center">
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Inject Realistic Errors Into Tables
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</h1>
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[![pytest](https://github.com/calgo-lab/tab_err/actions/workflows/tests.yaml/badge.svg?branch=main)](https://github.com/calgo-lab/tab_err/actions/workflows/tests.yaml)
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[![Ruff](https://github.com/calgo-lab/tab_err/actions/workflows/ruff.yaml/badge.svg?branch=main)](https://github.com/calgo-lab/tab_err/actions/workflows/ruff.yaml)
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`tab_err` injects realistic errors into tabular data such as database tables and DataFrames.
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The library is developed and maintained by the [Cognitive Algorithms Lab](https://calgo-lab.de/) at BHT Berlin.
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## How it Works
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The library's building blocks are `ErrorMechanism`s, `ErrorType`s, and `ErrorModel`s.
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- An `ErrorMechanism` describes the error's distribution - that's *where* incorrect cells appear in the table. We support *erroneous at random* (EAR), *erroneous not at random* (ENAR) and *erroneous completely at random* (ECAR).
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- An `ErrorType` describes *how* the value is wrong: a typo, an outlier, a category swap, and so on. Read the documentation for a [full list of supported error types](https://tab-err.readthedocs.io/latest/api/tab_err/error_type/index.html).
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- An `ErrorMechanism` describes the error's distribution - that's _where_ incorrect cells appear in the table. We support _erroneous at random_ (EAR), _erroneous not at random_ (ENAR) and _erroneous completely at random_ (ECAR).
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- An `ErrorType` describes _how_ the value is wrong: a typo, an outlier, a category swap, and so on. Read the documentation for a [full list of supported error types](https://tab-err.readthedocs.io/latest/api/tab_err/error_type/index.html).
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- An `ErrorModel` is a set of mechanisms and types to perturb existing data with realistic errors. It is shareable as metadata.
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`tab_err` is supported by a `pandas` backend.
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## Examples
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```python
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from sklearn.datasets import load_iris
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## Where to get it
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The source code is hosted on GitHub at <https://github.com/calgo-lab/tab_err>.
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The source code is hosted on GitHub at <https://github.com/calgo-lab/tab_err>.
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Binary installers for the latest releases are available at the Python Package Index (PyPI) <https://pypi.org/project/tab-err>.
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```sh
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Make sure that your changes are tested, documented, and clearly described in the pull request.
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## Citation
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If you use the error model that's underlying `tab_err` for a scientific publication, we would appreciate your citation.
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```
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```bib
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@article{10.1145/3774914,
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author = {Jung, Philipp and J\"{a}ger, Sebastian and Chandler, Nicholas and Biessmann, Felix},
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title = {Towards Realistic Error Models for Tabular Data},
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year = {2025},
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issue_date = {December 2025},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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volume = {17},
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number = {4},
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issn = {1936-1955},
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url = {https://doi.org/10.1145/3774914},
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doi = {10.1145/3774914},
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journal = {J. Data and Information Quality},
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month = dec,
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articleno = {28},
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numpages = {27},
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keywords = {Tabular data, data quality, data errors, data error generation, error model, realistic error model, error type}
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author = {Jung, Philipp and J\"{a}ger, Sebastian and Chandler, Nicholas and Biessmann, Felix},
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title = {Towards Realistic Error Models for Tabular Data},
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year = {2025},
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issue_date = {December 2025},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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volume = {17},
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number = {4},
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issn = {1936-1955},
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url = {https://doi.org/10.1145/3774914},
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doi = {10.1145/3774914},
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journal = {J. Data and Information Quality},
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month = dec,
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articleno = {28},
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numpages = {27},
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keywords = {Tabular data, data quality, data errors, data error generation, error model, realistic error model, error type}
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}
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```
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```

‎examples/1-Getting-Started.ipynb‎

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.20"
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"version": "3.10.19"
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}
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},
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"nbformat": 4,

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