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Rustem
committed
update minimum python version
1 parent a8ec923 commit 93e9fd8

5 files changed

Lines changed: 6 additions & 11 deletions

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.github/workflows/publish.yml

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@@ -10,7 +10,7 @@ jobs:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
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python-version: ['3.10', '3.11', '3.12']
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steps:
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- uses: actions/checkout@v3
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
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python-version: ['3.10', '3.11', '3.12']
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steps:
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- uses: actions/checkout@v3

.gitignore

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__pycache__
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*.swp
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*.swo
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*.pyc
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*.txt
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.DS_Store

pyproject.toml

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@@ -7,7 +7,7 @@ name = "textnano"
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version = "0.1.0"
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description = "A minimal text dataset builder inspired by lazynlp. Perfect for ML students who just want clean text datasets quickly."
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readme = "README.md"
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requires-python = ">=3.7"
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requires-python = ">=3.10"
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license = {text = "MIT"}
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keywords = ["nlp", "machine-learning", "dataset", "text-processing", "web-scraping", "data-cleaning"]
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authors = [
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",

setup.py

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author_email="rustem@example.com",
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url="https://github.com/Rustem/textnano",
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packages=find_packages(),
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python_requires=">=3.6",
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python_requires=">=3.10",
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install_requires=[
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# Zero dependencies - pure Python stdlib!
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],
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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],
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keywords="text dataset nlp machine-learning web-scraping data-collection",
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project_urls={

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