[WIP] random table segments & refactoring
This commit is contained in:
Matthias Bisping
parent
5611314ff3
commit
ca190721d6
465
poetry.lock
generated
465
poetry.lock
generated
@ -178,6 +178,21 @@ python-versions = ">=3.6"
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tests = ["pytest (>=3.2.1,!=3.3.0)"]
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typecheck = ["mypy"]
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[[package]]
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name = "beautifulsoup4"
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version = "4.11.1"
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description = "Screen-scraping library"
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category = "dev"
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optional = false
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python-versions = ">=3.6.0"
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "billiard"
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version = "3.6.4.0"
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@ -186,6 +201,22 @@ category = "main"
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optional = false
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python-versions = "*"
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[[package]]
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name = "bleach"
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version = "5.0.1"
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description = "An easy safelist-based HTML-sanitizing tool."
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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six = ">=1.9.0"
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webencodings = "*"
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[package.extras]
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css = ["tinycss2 (>=1.1.0,<1.2)"]
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dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"]
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[[package]]
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name = "celery"
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version = "5.2.7"
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@ -410,6 +441,24 @@ category = "main"
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python-versions = ">=3.6"
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[[package]]
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name = "dataframe-image"
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version = "0.1.5"
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description = "Embed pandas DataFrames as images in pdf and markdown files when converting from Jupyter Notebooks"
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python-versions = ">=3.6"
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beautifulsoup4 = "*"
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matplotlib = ">=3.1"
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mistune = "*"
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nbconvert = ">=5"
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packaging = "*"
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pandas = ">=0.24"
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requests = "*"
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[[package]]
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name = "dataproperty"
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version = "0.55.0"
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@ -434,6 +483,14 @@ category = "main"
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optional = false
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python-versions = ">=3.5"
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[[package]]
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name = "defusedxml"
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category = "dev"
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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[[package]]
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version = "0.6.0"
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@ -778,6 +835,14 @@ tests = ["dvc (>=2.37.0)", "dvc-studio-client (>=0.2.0)", "matplotlib", "mypy (=
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tf = ["tensorflow"]
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xgb = ["xgboost"]
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[[package]]
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description = "Discover and load entry points from installed packages."
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category = "dev"
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python-versions = ">=3.6"
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[[package]]
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name = "envyaml"
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version = "1.10.211231"
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@ -811,6 +876,17 @@ python-versions = ">=3.7"
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[package.dependencies]
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python-dateutil = ">=2.4"
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[[package]]
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name = "fastjsonschema"
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version = "2.16.2"
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description = "Fastest Python implementation of JSON schema"
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category = "dev"
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optional = false
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python-versions = "*"
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[package.extras]
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devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
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[[package]]
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name = "filelock"
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version = "3.9.0"
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@ -1171,6 +1247,52 @@ six = ">=1.11.0"
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format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
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format-nongpl = ["idna", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "webcolors"]
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[[package]]
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name = "jupyter-client"
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version = "7.4.9"
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description = "Jupyter protocol implementation and client libraries"
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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entrypoints = "*"
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jupyter-core = ">=4.9.2"
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nest-asyncio = ">=1.5.4"
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python-dateutil = ">=2.8.2"
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pyzmq = ">=23.0"
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tornado = ">=6.2"
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traitlets = "*"
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[package.extras]
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doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
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test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
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[[package]]
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name = "jupyter-core"
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version = "5.1.3"
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description = "Jupyter core package. A base package on which Jupyter projects rely."
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category = "dev"
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
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platformdirs = ">=2.5"
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pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
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traitlets = ">=5.3"
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[package.extras]
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docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
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test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
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[[package]]
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name = "jupyterlab-pygments"
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version = "0.2.2"
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description = "Pygments theme using JupyterLab CSS variables"
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "kiwisolver"
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version = "1.4.4"
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@ -1287,6 +1409,14 @@ python-versions = "*"
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certifi = "*"
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urllib3 = "*"
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[[package]]
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name = "mistune"
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version = "2.0.4"
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description = "A sane Markdown parser with useful plugins and renderers"
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category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "msrest"
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version = "0.6.21"
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@ -1320,6 +1450,86 @@ category = "main"
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optional = false
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python-versions = "*"
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[[package]]
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name = "nbclient"
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version = "0.7.2"
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description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
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category = "dev"
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optional = false
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python-versions = ">=3.7.0"
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[package.dependencies]
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jupyter-client = ">=6.1.12"
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jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
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nbformat = ">=5.1"
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traitlets = ">=5.3"
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[package.extras]
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dev = ["pre-commit"]
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docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme"]
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test = ["ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
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[[package]]
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name = "nbconvert"
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version = "7.2.8"
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description = "Converting Jupyter Notebooks"
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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beautifulsoup4 = "*"
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bleach = "*"
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defusedxml = "*"
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importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
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jinja2 = ">=3.0"
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jupyter-core = ">=4.7"
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jupyterlab-pygments = "*"
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markupsafe = ">=2.0"
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mistune = ">=2.0.3,<3"
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nbclient = ">=0.5.0"
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nbformat = ">=5.1"
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packaging = "*"
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pandocfilters = ">=1.4.1"
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pygments = ">=2.4.1"
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tinycss2 = "*"
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traitlets = ">=5.0"
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[package.extras]
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all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
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docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
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qtpdf = ["nbconvert[qtpng]"]
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qtpng = ["pyqtwebengine (>=5.15)"]
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serve = ["tornado (>=6.1)"]
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test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"]
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webpdf = ["pyppeteer (>=1,<1.1)"]
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[[package]]
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name = "nbformat"
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version = "5.7.3"
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description = "The Jupyter Notebook format"
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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fastjsonschema = "*"
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jsonschema = ">=2.6"
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jupyter-core = "*"
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traitlets = ">=5.1"
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[package.extras]
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docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
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test = ["pep440", "pre-commit", "pytest", "testpath"]
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[[package]]
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name = "nest-asyncio"
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version = "1.5.6"
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description = "Patch asyncio to allow nested event loops"
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category = "dev"
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optional = false
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python-versions = ">=3.5"
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[[package]]
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name = "networkx"
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version = "2.8.8"
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@ -1408,6 +1618,14 @@ pytz = ">=2020.1"
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[package.extras]
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test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
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[[package]]
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name = "pandocfilters"
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version = "1.5.0"
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description = "Utilities for writing pandoc filters in python"
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category = "dev"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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[[package]]
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name = "paramiko"
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version = "2.12.0"
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@ -1504,6 +1722,18 @@ python-versions = ">=3.7"
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docs = ["olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinx-rtd-theme (>=1.0)", "sphinxext-opengraph"]
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tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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[[package]]
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name = "platformdirs"
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version = "2.6.2"
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description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.extras]
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docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
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test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
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[[package]]
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name = "pluggy"
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version = "1.0.0"
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@ -1794,6 +2024,17 @@ category = "main"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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[[package]]
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name = "pyzmq"
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version = "25.0.0"
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description = "Python bindings for 0MQ"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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[[package]]
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name = "qudida"
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version = "0.0.4"
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@ -2037,6 +2278,14 @@ category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "soupsieve"
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version = "2.3.2.post1"
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description = "A modern CSS selector implementation for Beautiful Soup."
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "sshfs"
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version = "2022.6.0"
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@ -2155,6 +2404,21 @@ numpy = ">=1.19.2"
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[package.extras]
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all = ["fsspec", "imagecodecs (>=2022.2.22)", "lxml", "matplotlib (>=3.3)", "zarr"]
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[[package]]
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name = "tinycss2"
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version = "1.2.1"
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description = "A tiny CSS parser"
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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webencodings = ">=0.4"
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[package.extras]
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doc = ["sphinx", "sphinx_rtd_theme"]
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test = ["flake8", "isort", "pytest"]
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[[package]]
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name = "tomli"
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version = "2.0.1"
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@ -2171,6 +2435,14 @@ category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "tornado"
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version = "6.2"
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description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
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category = "dev"
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optional = false
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python-versions = ">= 3.7"
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[[package]]
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name = "tqdm"
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version = "4.64.1"
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@ -2188,6 +2460,18 @@ notebook = ["ipywidgets (>=6)"]
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slack = ["slack-sdk"]
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telegram = ["requests"]
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[[package]]
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name = "traitlets"
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||||
version = "5.8.1"
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||||
description = "Traitlets Python configuration system"
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||||
category = "dev"
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||||
optional = false
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python-versions = ">=3.7"
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[package.extras]
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docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
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test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
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[[package]]
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name = "typepy"
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version = "1.3.0"
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@ -2263,6 +2547,14 @@ category = "main"
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optional = false
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python-versions = "*"
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[[package]]
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name = "webencodings"
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||||
version = "0.5.1"
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||||
description = "Character encoding aliases for legacy web content"
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category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "websocket-client"
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version = "0.59.0"
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@ -2348,7 +2640,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
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[metadata]
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||||
lock-version = "1.1"
|
||||
python-versions = "~3.8"
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[metadata.files]
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@ -2510,10 +2802,18 @@ bcrypt = [
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|
||||
{file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"},
|
||||
]
|
||||
billiard = [
|
||||
{file = "billiard-3.6.4.0-py3-none-any.whl", hash = "sha256:87103ea78fa6ab4d5c751c4909bcff74617d985de7fa8b672cf8618afd5a875b"},
|
||||
{file = "billiard-3.6.4.0.tar.gz", hash = "sha256:299de5a8da28a783d51b197d496bef4f1595dd023a93a4f59dde1886ae905547"},
|
||||
]
|
||||
bleach = [
|
||||
{file = "bleach-5.0.1-py3-none-any.whl", hash = "sha256:085f7f33c15bd408dd9b17a4ad77c577db66d76203e5984b1bd59baeee948b2a"},
|
||||
{file = "bleach-5.0.1.tar.gz", hash = "sha256:0d03255c47eb9bd2f26aa9bb7f2107732e7e8fe195ca2f64709fcf3b0a4a085c"},
|
||||
]
|
||||
celery = [
|
||||
{file = "celery-5.2.7-py3-none-any.whl", hash = "sha256:138420c020cd58d6707e6257b6beda91fd39af7afde5d36c6334d175302c0e14"},
|
||||
{file = "celery-5.2.7.tar.gz", hash = "sha256:fafbd82934d30f8a004f81e8f7a062e31413a23d444be8ee3326553915958c6d"},
|
||||
@ -2777,6 +3077,9 @@ cycler = [
|
||||
{file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
|
||||
{file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
|
||||
]
|
||||
dataframe-image = [
|
||||
{file = "dataframe_image-0.1.5-py3-none-any.whl", hash = "sha256:f6c58ce54e83dc735193082ad6478f42183fccd10591a2bdbe8f4167051508fc"},
|
||||
]
|
||||
dataproperty = [
|
||||
{file = "DataProperty-0.55.0-py3-none-any.whl", hash = "sha256:a8f29175950f4b2c33a387aa3809130d87b9a8d3b92a916c906c49efdb566b32"},
|
||||
{file = "DataProperty-0.55.0.tar.gz", hash = "sha256:73ccf10f8b123968210438a1a1aa859ea6d5a16b4e1f4d307da7a81b838e79fa"},
|
||||
@ -2785,6 +3088,10 @@ decorator = [
|
||||
{file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
|
||||
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
|
||||
]
|
||||
defusedxml = [
|
||||
{file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
|
||||
{file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
|
||||
]
|
||||
dependency-check = [
|
||||
{file = "dependency-check-0.6.0.zip", hash = "sha256:6fa00b63fbdba57210825675956467ea67693a47b6ef192046f9a51732f22c7f"},
|
||||
{file = "dependency_check-0.6.0-py2.py3-none-any.whl", hash = "sha256:e237d12d038463b0b85d6ef89e6ccda512aaffd1c638904f1f28c5745fa9a56d"},
|
||||
@ -2920,6 +3227,10 @@ dvclive = [
|
||||
{file = "dvclive-1.3.0-py3-none-any.whl", hash = "sha256:31a9487b6f52d8e532167ceff9956dbbea52848579884a2fe7ad7172bc735632"},
|
||||
{file = "dvclive-1.3.0.tar.gz", hash = "sha256:75145764ffac0484b26c9bf87e6b538eefda66e2bcee246e228f6e7e71d4b2a2"},
|
||||
]
|
||||
entrypoints = [
|
||||
{file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
|
||||
{file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
|
||||
]
|
||||
envyaml = [
|
||||
{file = "envyaml-1.10.211231-py2.py3-none-any.whl", hash = "sha256:8d7a7a6be12587cc5da32a587067506b47b849f4643981099ad148015a72de52"},
|
||||
{file = "envyaml-1.10.211231.tar.gz", hash = "sha256:88f8a076159e3c317d3450a5f404132b6ac91aecee4934ea72eac65f911f1244"},
|
||||
@ -2932,6 +3243,10 @@ faker = [
|
||||
{file = "Faker-16.4.0-py3-none-any.whl", hash = "sha256:5420467fad3fa582094057754e5e81326cb1f51ab822bf9df96c077cfb35ae49"},
|
||||
{file = "Faker-16.4.0.tar.gz", hash = "sha256:dcffdca8ec9a715982bcd5f53ee688dc4784cd112f9910f8f7183773eb3ec276"},
|
||||
]
|
||||
fastjsonschema = [
|
||||
{file = "fastjsonschema-2.16.2-py3-none-any.whl", hash = "sha256:21f918e8d9a1a4ba9c22e09574ba72267a6762d47822db9add95f6454e51cc1c"},
|
||||
{file = "fastjsonschema-2.16.2.tar.gz", hash = "sha256:01e366f25d9047816fe3d288cbfc3e10541daf0af2044763f3d0ade42476da18"},
|
||||
]
|
||||
filelock = [
|
||||
{file = "filelock-3.9.0-py3-none-any.whl", hash = "sha256:f58d535af89bb9ad5cd4df046f741f8553a418c01a7856bf0d173bbc9f6bd16d"},
|
||||
{file = "filelock-3.9.0.tar.gz", hash = "sha256:7b319f24340b51f55a2bf7a12ac0755a9b03e718311dac567a0f4f7fabd2f5de"},
|
||||
@ -3138,6 +3453,18 @@ jsonschema = [
|
||||
{file = "jsonschema-3.2.0-py2.py3-none-any.whl", hash = "sha256:4e5b3cf8216f577bee9ce139cbe72eca3ea4f292ec60928ff24758ce626cd163"},
|
||||
{file = "jsonschema-3.2.0.tar.gz", hash = "sha256:c8a85b28d377cc7737e46e2d9f2b4f44ee3c0e1deac6bf46ddefc7187d30797a"},
|
||||
]
|
||||
jupyter-client = [
|
||||
{file = "jupyter_client-7.4.9-py3-none-any.whl", hash = "sha256:214668aaea208195f4c13d28eb272ba79f945fc0cf3f11c7092c20b2ca1980e7"},
|
||||
{file = "jupyter_client-7.4.9.tar.gz", hash = "sha256:52be28e04171f07aed8f20e1616a5a552ab9fee9cbbe6c1896ae170c3880d392"},
|
||||
]
|
||||
jupyter-core = [
|
||||
{file = "jupyter_core-5.1.3-py3-none-any.whl", hash = "sha256:d23ab7db81ca1759f13780cd6b65f37f59bf8e0186ac422d5ca4982cc7d56716"},
|
||||
{file = "jupyter_core-5.1.3.tar.gz", hash = "sha256:82e1cff0ef804c38677eff7070d5ff1d45037fef01a2d9ba9e6b7b8201831e9f"},
|
||||
]
|
||||
jupyterlab-pygments = [
|
||||
{file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"},
|
||||
{file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"},
|
||||
]
|
||||
kiwisolver = [
|
||||
{file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
|
||||
{file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
|
||||
@ -3313,6 +3640,10 @@ minio = [
|
||||
{file = "minio-7.1.3-py3-none-any.whl", hash = "sha256:c206a99a83688823ae71d0cd732cd818055e5bcbd01e773ff86181622c755018"},
|
||||
{file = "minio-7.1.3.tar.gz", hash = "sha256:af8be2077821612f622f625baafef0fd4c1b04691a2a90a40be484fc606f7dcd"},
|
||||
]
|
||||
mistune = [
|
||||
{file = "mistune-2.0.4-py2.py3-none-any.whl", hash = "sha256:182cc5ee6f8ed1b807de6b7bb50155df7b66495412836b9a74c8fbdfc75fe36d"},
|
||||
{file = "mistune-2.0.4.tar.gz", hash = "sha256:9ee0a66053e2267aba772c71e06891fa8f1af6d4b01d5e84e267b4570d4d9808"},
|
||||
]
|
||||
msrest = [
|
||||
{file = "msrest-0.6.21-py2.py3-none-any.whl", hash = "sha256:c840511c845330e96886011a236440fafc2c9aff7b2df9c0a92041ee2dee3782"},
|
||||
{file = "msrest-0.6.21.tar.gz", hash = "sha256:72661bc7bedc2dc2040e8f170b6e9ef226ee6d3892e01affd4d26b06474d68d8"},
|
||||
@ -3396,6 +3727,22 @@ multidict = [
|
||||
nanotime = [
|
||||
{file = "nanotime-0.5.2.tar.gz", hash = "sha256:c7cc231fc5f6db401b448d7ab51c96d0a4733f4b69fabe569a576f89ffdf966b"},
|
||||
]
|
||||
nbclient = [
|
||||
{file = "nbclient-0.7.2-py3-none-any.whl", hash = "sha256:d97ac6257de2794f5397609df754fcbca1a603e94e924eb9b99787c031ae2e7c"},
|
||||
{file = "nbclient-0.7.2.tar.gz", hash = "sha256:884a3f4a8c4fc24bb9302f263e0af47d97f0d01fe11ba714171b320c8ac09547"},
|
||||
]
|
||||
nbconvert = [
|
||||
{file = "nbconvert-7.2.8-py3-none-any.whl", hash = "sha256:ac57f2812175441a883f50c8ff113133ca65fe7ae5a9f1e3da3bfd1a70dce2ee"},
|
||||
{file = "nbconvert-7.2.8.tar.gz", hash = "sha256:ccedacde57a972836bfb46466485be29ed1364ed7c2f379f62bad47d340ece99"},
|
||||
]
|
||||
nbformat = [
|
||||
{file = "nbformat-5.7.3-py3-none-any.whl", hash = "sha256:22a98a6516ca216002b0a34591af5bcb8072ca6c63910baffc901cfa07fefbf0"},
|
||||
{file = "nbformat-5.7.3.tar.gz", hash = "sha256:4b021fca24d3a747bf4e626694033d792d594705829e5e35b14ee3369f9f6477"},
|
||||
]
|
||||
nest-asyncio = [
|
||||
{file = "nest_asyncio-1.5.6-py3-none-any.whl", hash = "sha256:b9a953fb40dceaa587d109609098db21900182b16440652454a146cffb06e8b8"},
|
||||
{file = "nest_asyncio-1.5.6.tar.gz", hash = "sha256:d267cc1ff794403f7df692964d1d2a3fa9418ffea2a3f6859a439ff482fef290"},
|
||||
]
|
||||
networkx = [
|
||||
{file = "networkx-2.8.8-py3-none-any.whl", hash = "sha256:e435dfa75b1d7195c7b8378c3859f0445cd88c6b0375c181ed66823a9ceb7524"},
|
||||
{file = "networkx-2.8.8.tar.gz", hash = "sha256:230d388117af870fce5647a3c52401fcf753e94720e6ea6b4197a5355648885e"},
|
||||
@ -3472,6 +3819,10 @@ pandas = [
|
||||
{file = "pandas-1.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:c218796d59d5abd8780170c937b812c9637e84c32f8271bbf9845970f8c1351f"},
|
||||
{file = "pandas-1.5.2.tar.gz", hash = "sha256:220b98d15cee0b2cd839a6358bd1f273d0356bf964c1a1aeb32d47db0215488b"},
|
||||
]
|
||||
pandocfilters = [
|
||||
{file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"},
|
||||
{file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"},
|
||||
]
|
||||
paramiko = [
|
||||
{file = "paramiko-2.12.0-py2.py3-none-any.whl", hash = "sha256:b2df1a6325f6996ef55a8789d0462f5b502ea83b3c990cbb5bbe57345c6812c4"},
|
||||
{file = "paramiko-2.12.0.tar.gz", hash = "sha256:376885c05c5d6aa6e1f4608aac2a6b5b0548b1add40274477324605903d9cd49"},
|
||||
@ -3533,6 +3884,10 @@ pillow = [
|
||||
{file = "Pillow-9.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8d79c6f468215d1a8415aa53d9868a6b40c4682165b8cb62a221b1baa47db458"},
|
||||
{file = "Pillow-9.1.0.tar.gz", hash = "sha256:f401ed2bbb155e1ade150ccc63db1a4f6c1909d3d378f7d1235a44e90d75fb97"},
|
||||
]
|
||||
platformdirs = [
|
||||
{file = "platformdirs-2.6.2-py3-none-any.whl", hash = "sha256:83c8f6d04389165de7c9b6f0c682439697887bca0aa2f1c87ef1826be3584490"},
|
||||
{file = "platformdirs-2.6.2.tar.gz", hash = "sha256:e1fea1fe471b9ff8332e229df3cb7de4f53eeea4998d3b6bfff542115e998bd2"},
|
||||
]
|
||||
pluggy = [
|
||||
{file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
|
||||
{file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
|
||||
@ -3781,6 +4136,85 @@ pyyaml = [
|
||||
{file = "PyYAML-5.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:c20cfa2d49991c8b4147af39859b167664f2ad4561704ee74c1de03318e898db"},
|
||||
{file = "PyYAML-5.4.1.tar.gz", hash = "sha256:607774cbba28732bfa802b54baa7484215f530991055bb562efbed5b2f20a45e"},
|
||||
]
|
||||
pyzmq = [
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:2d05d904f03ddf1e0d83d97341354dfe52244a619b5a1440a5f47a5b3451e84e"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a154ef810d44f9d28868be04641f837374a64e7449df98d9208e76c260c7ef1"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:487305c2a011fdcf3db1f24e8814bb76d23bc4d2f46e145bc80316a59a9aa07d"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e7b87638ee30ab13230e37ce5331b3e730b1e0dda30120b9eeec3540ed292c8"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75243e422e85a62f0ab7953dc315452a56b2c6a7e7d1a3c3109ac3cc57ed6b47"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:31e523d067ce44a04e876bed3ff9ea1ff8d1b6636d16e5fcace9d22f8c564369"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:8539216173135e9e89f6b1cc392e74e6b935b91e8c76106cf50e7a02ab02efe5"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2754fa68da08a854f4816e05160137fa938a2347276471103d31e04bcee5365c"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4a1bc30f0c18444d51e9b0d0dd39e3a4e7c53ee74190bebef238cd58de577ea9"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-win32.whl", hash = "sha256:01d53958c787cfea34091fcb8ef36003dbb7913b8e9f8f62a0715234ebc98b70"},
|
||||
{file = "pyzmq-25.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:58fc3ad5e1cfd2e6d24741fbb1e216b388115d31b0ca6670f894187f280b6ba6"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:e4bba04ea779a3d7ef25a821bb63fd0939142c88e7813e5bd9c6265a20c523a2"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:af1fbfb7ad6ac0009ccee33c90a1d303431c7fb594335eb97760988727a37577"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85456f0d8f3268eecd63dede3b99d5bd8d3b306310c37d4c15141111d22baeaf"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0645b5a2d2a06fd8eb738018490c514907f7488bf9359c6ee9d92f62e844b76f"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f72ea279b2941a5203e935a4588b9ba8a48aeb9a926d9dfa1986278bd362cb8"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:4e295f7928a31ae0f657e848c5045ba6d693fe8921205f408ca3804b1b236968"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ac97e7d647d5519bcef48dd8d3d331f72975afa5c4496c95f6e854686f45e2d9"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:656281d496aaf9ca4fd4cea84e6d893e3361057c4707bd38618f7e811759103c"},
|
||||
{file = "pyzmq-25.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1f6116991568aac48b94d6d8aaed6157d407942ea385335a6ed313692777fb9d"},
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|
||||
{file = "typepy-1.3.0.tar.gz", hash = "sha256:96788530614083164993d1443959f6c58e6bb8e2da839812ddf462c203e4b84c"},
|
||||
@ -4013,6 +4472,10 @@ wcwidth = [
|
||||
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
|
||||
{file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
|
||||
]
|
||||
webencodings = [
|
||||
{file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
|
||||
{file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
|
||||
]
|
||||
websocket-client = [
|
||||
{file = "websocket-client-0.59.0.tar.gz", hash = "sha256:d376bd60eace9d437ab6d7ee16f4ab4e821c9dae591e1b783c58ebd8aaf80c5c"},
|
||||
{file = "websocket_client-0.59.0-py2.py3-none-any.whl", hash = "sha256:2e50d26ca593f70aba7b13a489435ef88b8fc3b5c5643c1ce8808ff9b40f0b32"},
|
||||
|
||||
@ -42,6 +42,7 @@ albumentations = "^1.3.0"
|
||||
faker = "^16.4.0"
|
||||
pandas = "^1.5.2"
|
||||
pytablewriter = "^0.64.2"
|
||||
dataframe-image = "^0.1.5"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
|
||||
118
test/fixtures/page_generation/page.py
vendored
118
test/fixtures/page_generation/page.py
vendored
@ -1,6 +1,7 @@
|
||||
import io
|
||||
import itertools
|
||||
import random
|
||||
import string
|
||||
import textwrap
|
||||
from functools import lru_cache
|
||||
from typing import Tuple, Union, Iterable, List
|
||||
@ -419,25 +420,64 @@ class RandomTable(RandomContentRectangle):
|
||||
def __init__(self, x1, y1, x2, y2, seed=None):
|
||||
super().__init__(x1, y1, x2, y2, seed=seed)
|
||||
|
||||
# def generate_random_table(self, rectangle: Rectangle):
|
||||
# """Generates the image of a random table.
|
||||
#
|
||||
# Reference: https://stackoverflow.com/questions/35634238/how-to-save-a-pandas-dataframe-table-as-a-png
|
||||
# """
|
||||
# # df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
|
||||
# df = self.generate_random_dataframe(rectangle, 12)
|
||||
# print(df)
|
||||
#
|
||||
# from pandas.plotting import table
|
||||
#
|
||||
# ax = plt.subplot(111, frame_on=False)
|
||||
# ax.xaxis.set_visible(False)
|
||||
# ax.yaxis.set_visible(False)
|
||||
#
|
||||
# table(ax, df)
|
||||
# plt.savefig('/tmp/mytable.png')
|
||||
#
|
||||
# image = dump_plt_to_image(rectangle)
|
||||
# image.show()
|
||||
#
|
||||
# self.content = image
|
||||
|
||||
def generate_random_table(self, rectangle: Rectangle):
|
||||
"""Generates the image of a random table.
|
||||
|
||||
Reference: https://stackoverflow.com/questions/35634238/how-to-save-a-pandas-dataframe-table-as-a-png
|
||||
"""
|
||||
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
|
||||
import dataframe_image as dfi
|
||||
|
||||
from pandas.plotting import table
|
||||
df = self.generate_random_dataframe(rectangle, 11)
|
||||
print(df)
|
||||
|
||||
ax = plt.subplot(111, frame_on=False)
|
||||
ax.xaxis.set_visible(False)
|
||||
ax.yaxis.set_visible(False)
|
||||
df_styled = df.style.background_gradient()
|
||||
|
||||
table(ax, df)
|
||||
|
||||
image = dump_plt_to_image(rectangle)
|
||||
buf = io.BytesIO()
|
||||
dfi.export(df_styled, buf)
|
||||
image = Image.open(buf)
|
||||
image = image.resize((rectangle.width, rectangle.height))
|
||||
|
||||
self.content = image
|
||||
|
||||
def generate_random_dataframe(self, rectangle: Rectangle, font_size: int):
|
||||
"""Generates a random dataframe that has as many rows and columns as to fit the given rectangle."""
|
||||
|
||||
h_factor = font_size * 5
|
||||
v_factor = font_size * 2
|
||||
|
||||
rows = rectangle.height // h_factor
|
||||
cols = rectangle.width // v_factor
|
||||
|
||||
df = pd.DataFrame(
|
||||
np.random.randint(0, 100, size=(rows, cols)),
|
||||
columns=list(string.ascii_uppercase[:cols]),
|
||||
)
|
||||
|
||||
return df
|
||||
|
||||
|
||||
def dump_plt_to_image(rectangle):
|
||||
buf = io.BytesIO()
|
||||
@ -508,7 +548,6 @@ class RandomPlot(RandomContentRectangle):
|
||||
|
||||
def generate_random_pie_chart(self, rectangle: Rectangle):
|
||||
x = np.random.uniform(size=10)
|
||||
print(x)
|
||||
image = self.__generate_random_plot(
|
||||
plt.pie, rectangle, x, None, plot_kwargs=self.generate_plot_kwargs(keywords=["a"])
|
||||
)
|
||||
@ -527,7 +566,6 @@ class RandomPlot(RandomContentRectangle):
|
||||
def __generate_random_plot(self, plot_fn, rectangle: Rectangle, x, y, plot_kwargs=None):
|
||||
|
||||
plot_kwargs = self.generate_plot_kwargs() if plot_kwargs is None else plot_kwargs
|
||||
print(plot_kwargs)
|
||||
|
||||
fig, ax = plt.subplots()
|
||||
fig.set_size_inches(rectangle.width / 100, rectangle.height / 100)
|
||||
@ -540,6 +578,8 @@ class RandomPlot(RandomContentRectangle):
|
||||
)
|
||||
ax.set_facecolor("none")
|
||||
|
||||
maybe() and ax.set_title("Figure Title")
|
||||
|
||||
# disable axes at random
|
||||
maybe() and ax.set_xticks([])
|
||||
maybe() and ax.set_yticks([])
|
||||
@ -553,13 +593,7 @@ class RandomPlot(RandomContentRectangle):
|
||||
# remove spines at random
|
||||
maybe() and (ax.spines["top"].set_visible(False) or ax.spines["right"].set_visible(False))
|
||||
|
||||
buf = io.BytesIO()
|
||||
plt.savefig(buf, format="png", transparent=True)
|
||||
buf.seek(0)
|
||||
image = Image.open(buf)
|
||||
image = image.resize((rectangle.width, rectangle.height))
|
||||
buf.close()
|
||||
plt.close()
|
||||
image = dump_plt_to_image(rectangle)
|
||||
return image
|
||||
|
||||
|
||||
@ -573,6 +607,22 @@ def generate_random_text_block(rectangle: Rectangle) -> ContentRectangle:
|
||||
return block
|
||||
|
||||
|
||||
def write_lines_to_image(lines: List[str], rectangle: Rectangle, font=None) -> Image.Image:
|
||||
def write_line(line, line_number):
|
||||
draw.text((0, line_number * text_size), line, font=font, fill=(0, 0, 0, 200))
|
||||
|
||||
font = font or ImageFont.load_default()
|
||||
|
||||
image = Image.new("RGBA", (rectangle.width, rectangle.height), (0, 255, 255, 0))
|
||||
draw = ImageDraw.Draw(image)
|
||||
text_size = draw.textsize(first(lines), font=font)[1]
|
||||
|
||||
for line_number, line in enumerate(lines):
|
||||
write_line(line, line_number)
|
||||
|
||||
return image
|
||||
|
||||
|
||||
class RandomTextBlock(ContentRectangle):
|
||||
def __init__(self, x1, y1, x2, y2):
|
||||
super().__init__(x1, y1, x2, y2)
|
||||
@ -583,24 +633,11 @@ class RandomTextBlock(ContentRectangle):
|
||||
pass
|
||||
|
||||
def generate_random_text(self, rectangle: Rectangle):
|
||||
def write_line(line, line_number):
|
||||
draw.text((0, line_number * text_size), line, font=self.font, fill=(0, 0, 0, 200))
|
||||
|
||||
image = Image.new("RGBA", (rectangle.width, rectangle.height), (0, 255, 255, 0))
|
||||
draw = ImageDraw.Draw(image)
|
||||
text = Faker().paragraph(nb_sentences=3000, variable_nb_sentences=False, ext_word_list=None)
|
||||
|
||||
wrapped_text = textwrap.wrap(text, width=image.width, break_long_words=False)
|
||||
text_size = draw.textsize(first(wrapped_text), font=self.font)[1]
|
||||
|
||||
lines = last(take(len(wrapped_text), iterate(star(self.format_lines), (True, wrapped_text))))[1]
|
||||
|
||||
for line_number, line in enumerate(lines):
|
||||
write_line(line, line_number)
|
||||
|
||||
lines = generate_random_text_lines(rectangle, self.format_lines)
|
||||
image = write_lines_to_image(lines, rectangle, self.font)
|
||||
self.content = image
|
||||
|
||||
def format_lines(self, last_full, lines):
|
||||
def format_lines(self, lines, last_full):
|
||||
def truncate_current_line():
|
||||
return random.random() < self.blank_line_percentage and last_full
|
||||
|
||||
@ -616,7 +653,7 @@ class RandomTextBlock(ContentRectangle):
|
||||
)
|
||||
current_line_is_a_full_line = not current_line_shall_not_be_a_full_line
|
||||
# Start reading here and move up.
|
||||
return current_line_is_a_full_line, split_off_current_line_then_format_it_then_move_it_to_the_back(lines)
|
||||
return split_off_current_line_then_format_it_then_move_it_to_the_back(lines), current_line_is_a_full_line
|
||||
|
||||
def format_line(self, line, full=True):
|
||||
line = self.truncate_line(line) if not full else line
|
||||
@ -629,6 +666,19 @@ class RandomTextBlock(ContentRectangle):
|
||||
return line
|
||||
|
||||
|
||||
def generate_random_text_lines(rectangle: Rectangle, line_formatter=identity) -> List[str]:
|
||||
text = Faker().paragraph(nb_sentences=3000, variable_nb_sentences=False, ext_word_list=None)
|
||||
unformatted_lines = textwrap.wrap(text, width=rectangle.width, break_long_words=False)
|
||||
# each iteration of the line formatter function formats one more line and adds it to the back of the list
|
||||
formatted_lines_generator = iterate(star(line_formatter), (unformatted_lines, True))
|
||||
# hence do as many iterations as there are lines in the rectangle
|
||||
lines_per_iteration = take(len(unformatted_lines), formatted_lines_generator)
|
||||
# and then take the lines from the last iteration of the function
|
||||
formatted_lines, _ = last(lines_per_iteration)
|
||||
|
||||
return formatted_lines
|
||||
|
||||
|
||||
def paste_content(page, content_box: ContentRectangle):
|
||||
assert page.mode == "RGB"
|
||||
assert content_box.content.mode == "RGBA"
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user