diff --git a/docs/_static/images/valenspy_overview.png b/docs/_static/images/valenspy_overview.png new file mode 100644 index 00000000..c1c4c604 Binary files /dev/null and b/docs/_static/images/valenspy_overview.png differ diff --git a/docs/api.rst b/docs/api.rst index cfc6334e..6fa1b44f 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -22,6 +22,7 @@ Modules Pre-made Diagnostic ------------------- + Most users will use pre-made diagnostics. They are organized into four categories and listed below. Model2Self diff --git a/docs/doc_examples/index.rst b/docs/doc_examples/index.rst index 40bb5c23..843942bb 100644 --- a/docs/doc_examples/index.rst +++ b/docs/doc_examples/index.rst @@ -5,11 +5,11 @@ #################### This page will be filled with a list of common examples. These examples are -made as notbooks, and will be rendered as such. +made as notebooks, and will be rendered as such. .. toctree:: - :maxdepth: 2 + :maxdepth: 1 workflow_example.ipynb making_a_diagnostic.ipynb diff --git a/docs/getting_started/advanced_install.rst b/docs/getting_started/advanced_install.rst index 9b82e6ef..7b7964f0 100644 --- a/docs/getting_started/advanced_install.rst +++ b/docs/getting_started/advanced_install.rst @@ -3,4 +3,62 @@ Advanced installation ===================== -WIP \ No newline at end of file +Valenspy is a Python package but has some non-python dependencies. Therefore, the easist way to install ValEnsPy is to use conda. + +Dependencies +------------- + +ValEnsPy officially supports Python 3.10 and above. +Its main dependencies are xarray (>v2025.03.0 for DataTree support) and dask. Additionally, ValEnsPy utilizes the existing ecosystem of xarray based weather and climate packages, including xesmf, xclim, and intake-esm. +Therefore, Valenspy has a non-python dependency through xesmf, namely ESMF (esmpy). However, if regridding functionality is not needed, ValEnsPy can be installed and used without ESMF. + +Installing with conda +--------------------- + +To install with conda ensure that you have either `Miniconda `__ or `Anaconda `__ installed, then run the following command in your terminal: + +.. code-block:: shell + + #WIP still needs to be published to conda-forge + +This will install ValEnsPy and all its dependencies, including ESMF (esmpy) if it is not already installed in the environment. + +.. _install_pip: + +Installing with pip +------------------- + +Valenspy can be installed via pip from `PyPI `__. + +.. warning:: + Installing ValEnsPy with pip will not install ESMF (esmpy). If you require regridding functionality, either install esmpy in your environment seperately or use conda to install ValEnsPy. + + .. code-block:: shell + + conda install -c conda-forge esmpy + +In your terminal run the following command: + +.. code-block:: shell + + pip install ValEnsPy + +Installing on Windows +--------------------- + +ValEnsPy is not yet fully supported on Windows because the xesmf package (in particular the ESMF dependency) is not supported on Windows. +If you are using Windows and do not require regridding functionality, you can :ref:`install ValEnsPy using pip <_install_pip>` without installing ESMF (esmpy) separately. + +Installation from source +------------------------ + +#WIP - link to developer guide/contributing pages + +Testing the installation +------------------------ + +#WIP + + + + diff --git a/docs/getting_started/index.rst b/docs/getting_started/index.rst index 0a530a13..c5d238f0 100644 --- a/docs/getting_started/index.rst +++ b/docs/getting_started/index.rst @@ -5,10 +5,15 @@ Getting started A guide to enable you to start productively using ValEnsPy as efficiently as possible. +.. _install: + Installation ------------ -Valenspy is a pure python package but it has some non-python dependencies (such as ESMpy). The easiest way to install ValEnsPy is to use the conda package manager. If you prefer using pip ensure that you have the required dependencies installed. For help with the install check out the :ref:`advanced installation ` page. +ValEnsPy has ESMF as a non-python dependency. Therefore, when installing ValEnsPy with pip, ensure that ESMF (esmpy) is already installed in the environment if you wish to use regridding functionality. + +.. warning:: + To install ValEnsPy on Windows see the :ref:`advanced installation page `. .. grid:: 1 2 2 2 :gutter: 4 @@ -18,13 +23,14 @@ Valenspy is a pure python package but it has some non-python dependencies (such :columns: 12 12 6 6 :padding: 3 - Using Conda + Using Conda (Recommended) ++++++++++++++++++++++ .. code-block:: bash - #TODO: Add conda install command for non developers + #conda install command for non developers + #WIP .. grid-item-card:: Prefer pip? :class-card: install-card @@ -37,8 +43,6 @@ Valenspy is a pure python package but it has some non-python dependencies (such .. code-block:: bash - #Ensure non-python dependencies (ESMpy) are installed, e.g. using conda - #conda install -c conda-forge esmpy pip install valenspy .. grid-item-card:: In-depth instructions? @@ -46,7 +50,7 @@ Valenspy is a pure python package but it has some non-python dependencies (such :columns: 12 :padding: 3 - Installing a specific version? Installing from source? Check the advanced + Installing on Windows? Installing from source or with pip? Check the advanced installation page. +++ @@ -57,20 +61,22 @@ Valenspy is a pure python package but it has some non-python dependencies (such :color: secondary :expand: - Learn more + Advanced installation Why ValEnsPy? ------------- -WIP - 2 sentence description of the package and its purpose. +By utilizing the exisisting xarray ecosystem, ValEnsPy provides a flexible and powerful framework for working with gridded climate and weather data from data processing to diagnostics and from single model evaluations up to multiple ensemble comparisons. Still not convinced? Check out the :ref:`Why ValEnsPy ` page. What do I need to get started? ------------------------------ -WIP - 3 sentences about knowledge needed to get started with ValEnsPy (xarray!) +- A working `installation `_ of ValEnsPy. +- A basic understanding of `xarray `_ in particular the newly introduced `DataTree `_ functionality. +- A basic understanding of `pandas `_ Got what it takes? Check out the :ref:`quick overview ` page to learn the key concepts of ValEnsPy or check out the :ref:`examples `. diff --git a/docs/getting_started/quick-overview.rst b/docs/getting_started/quick-overview.rst index 156a1ccd..b9e21bff 100644 --- a/docs/getting_started/quick-overview.rst +++ b/docs/getting_started/quick-overview.rst @@ -3,4 +3,59 @@ Quick overview ============== -WIP \ No newline at end of file +Here we illustrate the key concepts used in ValEnsPy. + +Components +---------- + +Valenspy consists of three main components: + +- **Input**: Gathering raw data, loading it and transforming it to ValEnsPy complaint xarray DataSet or DataTree with a uniform naming convention. +- **Processing**: User dependent processing steps, e.g. regridding, masking, etc. +- **Diagnostics**: The computation and visualization of the diagnostics. + +The main data structures used in ValEnsPy are xarray DataSets and DataTrees. In particular, the new xarray DataTree structure is used to manage (multiple) ensembles of gridded models and observations. +The image below illustrates the main components of ValEnsPy and how they interact with each other. + +.. image:: /_static/images/valenspy_overview.png + :alt: Overview diagram of ValEnsPy + :align: center + :width: 100% + +Input +^^^^^ + +The input component is responsible for gathering the raw data, loading it and transforming it to ValEnsPy complaint xarray DataSet or DataTree with uniform naming conventions. + +The latter is done by the `InputConvertors` class, which is essentially a dataset specific pre-processing function applied when loading the data. It essentially consists of: + +- A dictionary to map the raw data variables to the `CMIP6-CORDEX `_ variable names. +- If required, a dataset specific function to transform the raw data to the ValEnsPy compliant format. + +For standard datasets, ValEnsPy has built in input processors but users can also easily define their own input processors. + +Gathering and loading the data is done by the `Manager` class, which creates a catalog of all available datasets and utilizes `intake-esm `_ to make that data searchable and loadable. + +The creation of the catalog is semi-automatic, i.e. only the base directory and a pattern for the files need to be specified and can be shared with others using the same computing infrastructure. The catalog is then used to search for and load the user required data into xarray DataSets or DataTrees. +When loading the data, the `Manager` class also applies a set of pre-processing steps to each respective dataset through the aformentioned `InputConvertors`. + +Processing +^^^^^^^^^^ + +The processing component enables users to apply the required processing steps to the data. These are a combination of simple xarray operations time selection, masking and more complex operations like regridding and calculating indicators. +Where required ValEnsPy extends existing processing functionality, in particular to support the new xarray DataTree structure. + +Diagnostics +^^^^^^^^^^^ + +Finally, the diagnostics are used to compute and visualize the results. Each diagnostic represents a diagnsotic function and at least one plot. +Diagnostics are categorized into 4 groups, each with slightly different scope and functionality: + +- **Single model diagnostics (Model2Self)**: Compute and visualize aspects of a single model. e.g: spatial average of a variable. +- **Single model to reference diagnostics (Model2Ref)**: Compute and visualize aspects of a single model compared to a reference dataset. e.g: is the average spatial bias of a variable. +- **Multi-model diagnostics (Model2Model)**: These diagnostics compute and visualize aspects of an whole ensemble of models. e.g: The "most extreme" model in the ensemble with respect to some variables. +- **Multi-model to reference diagnostics (Model2Ref)**: These diagnostics compute and visualize aspects of an whole ensemble of models compared to a reference dataset. e.g: The spread of the bias of the ensemble. + +The diagnostics functions are applied on the xarray DataSets or DataTrees resulting in some form of output (pandas DataFrame, xarray DataSet or DataTree, dictionary, etc.) which can be saved or visualized with the diagnostic plot functions. + +Within ValEnsPy there are `some prexisting diagnostics <../_api_docs>`_ to explorea and use, but users can also define their own diagnostics. \ No newline at end of file diff --git a/docs/index.rst b/docs/index.rst index e91ebcf4..b25fca5d 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,6 +1,6 @@ :html_theme.sidebar_secondary.remove: -.. _valenspy: +.. _valenspy: ValEnsPy ============================ diff --git a/poetry.lock b/poetry.lock index f54a2eda..5bd8bf9d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -166,13 +166,13 @@ css = ["tinycss2 (>=1.1.0,<1.5)"] [[package]] name = "bokeh" -version = "3.7.2" +version = "3.7.3" description = "Interactive plots and applications in the browser from Python" optional = false python-versions = ">=3.10" files = [ - {file = "bokeh-3.7.2-py3-none-any.whl", hash = "sha256:efd9172a90cc233c1c21ef4813d58a8a6f97ee63c8e2f1b4f2389a64fcef0722"}, - {file = "bokeh-3.7.2.tar.gz", hash = "sha256:80c21885cec276431acd4db92f831c71eb999ea995470ce777e0c577b0cfc1d8"}, + {file = "bokeh-3.7.3-py3-none-any.whl", hash = "sha256:b0e79dd737f088865212e4fdcb0f3b95d087f0f088bf8ca186a300ab1641e2c7"}, + {file = "bokeh-3.7.3.tar.gz", hash = "sha256:70a89a9f797b103d5ee6ad15fb7944adda115cf0da996ed0b75cfba61cb12f2b"}, ] [package.dependencies] @@ -624,13 +624,13 @@ rapidfuzz = ">=3.0.0,<4.0.0" [[package]] name = "click" -version = "8.1.8" +version = "8.2.0" description = "Composable command line interface toolkit" optional = false -python-versions = ">=3.7" +python-versions = ">=3.10" files = [ - {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, - {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"}, + {file = "click-8.2.0-py3-none-any.whl", hash = "sha256:6b303f0b2aa85f1cb4e5303078fadcbcd4e476f114fab9b5007005711839325c"}, + {file = "click-8.2.0.tar.gz", hash = "sha256:f5452aeddd9988eefa20f90f05ab66f17fce1ee2a36907fd30b05bbb5953814d"}, ] [package.dependencies] @@ -1133,15 +1133,18 @@ pgp = ["gpg"] [[package]] name = "exceptiongroup" -version = "1.2.2" +version = "1.3.0" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, - {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, + {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"}, + {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"}, ] +[package.dependencies] +typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""} + [package.extras] test = ["pytest (>=6)"] @@ -1247,61 +1250,53 @@ test = ["pytest", "pytest-cov", "pytest-mpl", "pytest-subtests"] [[package]] name = "fonttools" -version = "4.57.0" +version = "4.58.0" description = "Tools to manipulate font files" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "fonttools-4.57.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:babe8d1eb059a53e560e7bf29f8e8f4accc8b6cfb9b5fd10e485bde77e71ef41"}, - {file = "fonttools-4.57.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:81aa97669cd726349eb7bd43ca540cf418b279ee3caba5e2e295fb4e8f841c02"}, - {file = "fonttools-4.57.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0e9618630edd1910ad4f07f60d77c184b2f572c8ee43305ea3265675cbbfe7e"}, - {file = "fonttools-4.57.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:34687a5d21f1d688d7d8d416cb4c5b9c87fca8a1797ec0d74b9fdebfa55c09ab"}, - {file = "fonttools-4.57.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:69ab81b66ebaa8d430ba56c7a5f9abe0183afefd3a2d6e483060343398b13fb1"}, - {file = "fonttools-4.57.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:d639397de852f2ccfb3134b152c741406752640a266d9c1365b0f23d7b88077f"}, - {file = "fonttools-4.57.0-cp310-cp310-win32.whl", hash = "sha256:cc066cb98b912f525ae901a24cd381a656f024f76203bc85f78fcc9e66ae5aec"}, - {file = "fonttools-4.57.0-cp310-cp310-win_amd64.whl", hash = "sha256:7a64edd3ff6a7f711a15bd70b4458611fb240176ec11ad8845ccbab4fe6745db"}, - {file = "fonttools-4.57.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3871349303bdec958360eedb619169a779956503ffb4543bb3e6211e09b647c4"}, - {file = "fonttools-4.57.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c59375e85126b15a90fcba3443eaac58f3073ba091f02410eaa286da9ad80ed8"}, - {file = "fonttools-4.57.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:967b65232e104f4b0f6370a62eb33089e00024f2ce143aecbf9755649421c683"}, - {file = "fonttools-4.57.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39acf68abdfc74e19de7485f8f7396fa4d2418efea239b7061d6ed6a2510c746"}, - {file = "fonttools-4.57.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9d077f909f2343daf4495ba22bb0e23b62886e8ec7c109ee8234bdbd678cf344"}, - {file = "fonttools-4.57.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:46370ac47a1e91895d40e9ad48effbe8e9d9db1a4b80888095bc00e7beaa042f"}, - {file = "fonttools-4.57.0-cp311-cp311-win32.whl", hash = "sha256:ca2aed95855506b7ae94e8f1f6217b7673c929e4f4f1217bcaa236253055cb36"}, - {file = "fonttools-4.57.0-cp311-cp311-win_amd64.whl", hash = "sha256:17168a4670bbe3775f3f3f72d23ee786bd965395381dfbb70111e25e81505b9d"}, - {file = "fonttools-4.57.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:889e45e976c74abc7256d3064aa7c1295aa283c6bb19810b9f8b604dfe5c7f31"}, - {file = "fonttools-4.57.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0425c2e052a5f1516c94e5855dbda706ae5a768631e9fcc34e57d074d1b65b92"}, - {file = "fonttools-4.57.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44c26a311be2ac130f40a96769264809d3b0cb297518669db437d1cc82974888"}, - {file = "fonttools-4.57.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84c41ba992df5b8d680b89fd84c6a1f2aca2b9f1ae8a67400c8930cd4ea115f6"}, - {file = "fonttools-4.57.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ea1e9e43ca56b0c12440a7c689b1350066595bebcaa83baad05b8b2675129d98"}, - {file = "fonttools-4.57.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:84fd56c78d431606332a0627c16e2a63d243d0d8b05521257d77c6529abe14d8"}, - {file = "fonttools-4.57.0-cp312-cp312-win32.whl", hash = "sha256:f4376819c1c778d59e0a31db5dc6ede854e9edf28bbfa5b756604727f7f800ac"}, - {file = "fonttools-4.57.0-cp312-cp312-win_amd64.whl", hash = "sha256:57e30241524879ea10cdf79c737037221f77cc126a8cdc8ff2c94d4a522504b9"}, - {file = "fonttools-4.57.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:408ce299696012d503b714778d89aa476f032414ae57e57b42e4b92363e0b8ef"}, - {file = "fonttools-4.57.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:bbceffc80aa02d9e8b99f2a7491ed8c4a783b2fc4020119dc405ca14fb5c758c"}, - {file = "fonttools-4.57.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f022601f3ee9e1f6658ed6d184ce27fa5216cee5b82d279e0f0bde5deebece72"}, - {file = "fonttools-4.57.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4dea5893b58d4637ffa925536462ba626f8a1b9ffbe2f5c272cdf2c6ebadb817"}, - {file = "fonttools-4.57.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dff02c5c8423a657c550b48231d0a48d7e2b2e131088e55983cfe74ccc2c7cc9"}, - {file = "fonttools-4.57.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:767604f244dc17c68d3e2dbf98e038d11a18abc078f2d0f84b6c24571d9c0b13"}, - {file = "fonttools-4.57.0-cp313-cp313-win32.whl", hash = "sha256:8e2e12d0d862f43d51e5afb8b9751c77e6bec7d2dc00aad80641364e9df5b199"}, - {file = "fonttools-4.57.0-cp313-cp313-win_amd64.whl", hash = "sha256:f1d6bc9c23356908db712d282acb3eebd4ae5ec6d8b696aa40342b1d84f8e9e3"}, - {file = "fonttools-4.57.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:9d57b4e23ebbe985125d3f0cabbf286efa191ab60bbadb9326091050d88e8213"}, - {file = "fonttools-4.57.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:579ba873d7f2a96f78b2e11028f7472146ae181cae0e4d814a37a09e93d5c5cc"}, - {file = "fonttools-4.57.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e3e1ec10c29bae0ea826b61f265ec5c858c5ba2ce2e69a71a62f285cf8e4595"}, - {file = "fonttools-4.57.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1968f2a2003c97c4ce6308dc2498d5fd4364ad309900930aa5a503c9851aec8"}, - {file = "fonttools-4.57.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:aff40f8ac6763d05c2c8f6d240c6dac4bb92640a86d9b0c3f3fff4404f34095c"}, - {file = "fonttools-4.57.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:d07f1b64008e39fceae7aa99e38df8385d7d24a474a8c9872645c4397b674481"}, - {file = "fonttools-4.57.0-cp38-cp38-win32.whl", hash = "sha256:51d8482e96b28fb28aa8e50b5706f3cee06de85cbe2dce80dbd1917ae22ec5a6"}, - {file = "fonttools-4.57.0-cp38-cp38-win_amd64.whl", hash = "sha256:03290e818782e7edb159474144fca11e36a8ed6663d1fcbd5268eb550594fd8e"}, - {file = "fonttools-4.57.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7339e6a3283e4b0ade99cade51e97cde3d54cd6d1c3744459e886b66d630c8b3"}, - {file = "fonttools-4.57.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:05efceb2cb5f6ec92a4180fcb7a64aa8d3385fd49cfbbe459350229d1974f0b1"}, - {file = "fonttools-4.57.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a97bb05eb24637714a04dee85bdf0ad1941df64fe3b802ee4ac1c284a5f97b7c"}, - {file = "fonttools-4.57.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:541cb48191a19ceb1a2a4b90c1fcebd22a1ff7491010d3cf840dd3a68aebd654"}, - {file = "fonttools-4.57.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:cdef9a056c222d0479a1fdb721430f9efd68268014c54e8166133d2643cb05d9"}, - {file = "fonttools-4.57.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3cf97236b192a50a4bf200dc5ba405aa78d4f537a2c6e4c624bb60466d5b03bd"}, - {file = "fonttools-4.57.0-cp39-cp39-win32.whl", hash = "sha256:e952c684274a7714b3160f57ec1d78309f955c6335c04433f07d36c5eb27b1f9"}, - {file = "fonttools-4.57.0-cp39-cp39-win_amd64.whl", hash = "sha256:a2a722c0e4bfd9966a11ff55c895c817158fcce1b2b6700205a376403b546ad9"}, - {file = "fonttools-4.57.0-py3-none-any.whl", hash = "sha256:3122c604a675513c68bd24c6a8f9091f1c2376d18e8f5fe5a101746c81b3e98f"}, - {file = "fonttools-4.57.0.tar.gz", hash = "sha256:727ece10e065be2f9dd239d15dd5d60a66e17eac11aea47d447f9f03fdbc42de"}, + {file = "fonttools-4.58.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0bcaa65cddbc7d32c77bd0af0b41fdd6448bad0e84365ca79cf8923c27b21e46"}, + {file = "fonttools-4.58.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:25590272f89e94ab5a292d518c549f3a88e6a34fa1193797b7047dfea111b048"}, + {file = "fonttools-4.58.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:614435e9a87abe18bd7bc7ceeb8029e8f181c571317161e89fa3e6e0a4f20f5d"}, + {file = "fonttools-4.58.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0154bd86d9a9e880f6e937e4d99c2139a624428dd9852072e12d7a85c79d611e"}, + {file = "fonttools-4.58.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5b3660df0b02c9cebbf7baf66952c2fd055e43e658aceb92cc95ba19e0a5c8b6"}, + {file = "fonttools-4.58.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c43b7f1d0b818427bb1cd20903d1168271abdcde10eb6247b1995c4e1ed63907"}, + {file = "fonttools-4.58.0-cp310-cp310-win32.whl", hash = "sha256:5450f40c385cdfa21133245f57b9cf8ce45018a04630a98de61eed8da14b8325"}, + {file = "fonttools-4.58.0-cp310-cp310-win_amd64.whl", hash = "sha256:c0553431696eacafee9aefe94dc3c2bf5d658fbdc7fdba5b341c588f935471c6"}, + {file = "fonttools-4.58.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9345b1bb994476d6034996b31891c0c728c1059c05daa59f9ab57d2a4dce0f84"}, + {file = "fonttools-4.58.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1d93119ace1e2d39ff1340deb71097932f72b21c054bd3da727a3859825e24e5"}, + {file = "fonttools-4.58.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79c9e4f01bb04f19df272ae35314eb6349fdb2e9497a163cd22a21be999694bd"}, + {file = "fonttools-4.58.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62ecda1465d38248aaf9bee1c17a21cf0b16aef7d121d7d303dbb320a6fd49c2"}, + {file = "fonttools-4.58.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:29d0499bff12a26733c05c1bfd07e68465158201624b2fba4a40b23d96c43f94"}, + {file = "fonttools-4.58.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:1871abdb0af582e2d96cc12d88889e3bfa796928f491ec14d34a2e58ca298c7e"}, + {file = "fonttools-4.58.0-cp311-cp311-win32.whl", hash = "sha256:e292485d70402093eb94f6ab7669221743838b8bd4c1f45c84ca76b63338e7bf"}, + {file = "fonttools-4.58.0-cp311-cp311-win_amd64.whl", hash = "sha256:6df3755fcf9ad70a74ad3134bd5c9738f73c9bb701a304b1c809877b11fe701c"}, + {file = "fonttools-4.58.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:aa8316798f982c751d71f0025b372151ea36405733b62d0d94d5e7b8dd674fa6"}, + {file = "fonttools-4.58.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c6db489511e867633b859b11aefe1b7c0d90281c5bdb903413edbb2ba77b97f1"}, + {file = "fonttools-4.58.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:107bdb2dacb1f627db3c4b77fb16d065a10fe88978d02b4fc327b9ecf8a62060"}, + {file = "fonttools-4.58.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba7212068ab20f1128a0475f169068ba8e5b6e35a39ba1980b9f53f6ac9720ac"}, + {file = "fonttools-4.58.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f95ea3b6a3b9962da3c82db73f46d6a6845a6c3f3f968f5293b3ac1864e771c2"}, + {file = "fonttools-4.58.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:874f1225cc4ccfeac32009887f722d7f8b107ca5e867dcee067597eef9d4c80b"}, + {file = "fonttools-4.58.0-cp312-cp312-win32.whl", hash = "sha256:5f3cde64ec99c43260e2e6c4fa70dfb0a5e2c1c1d27a4f4fe4618c16f6c9ff71"}, + {file = "fonttools-4.58.0-cp312-cp312-win_amd64.whl", hash = "sha256:2aee08e2818de45067109a207cbd1b3072939f77751ef05904d506111df5d824"}, + {file = "fonttools-4.58.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:4809790f2371d8a08e59e1ce2b734c954cf09742e75642d7f4c46cfdac488fdd"}, + {file = "fonttools-4.58.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b00f240280f204ce4546b05ff3515bf8ff47a9cae914c718490025ea2bb9b324"}, + {file = "fonttools-4.58.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a62015ad463e1925544e9159dd6eefe33ebfb80938d5ab15d8b1c4b354ff47b"}, + {file = "fonttools-4.58.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ceef6f6ab58061a811967e3e32e630747fcb823dcc33a9a2c80e2d0d17cb292"}, + {file = "fonttools-4.58.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c7be21ac52370b515cdbdd0f400803fd29432a4fa4ddb4244ac8b322e54f36c0"}, + {file = "fonttools-4.58.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:85836be4c3c4aacf6fcb7a6f263896d0e9ce431da9fa6fe9213d70f221f131c9"}, + {file = "fonttools-4.58.0-cp313-cp313-win32.whl", hash = "sha256:2b32b7130277bd742cb8c4379a6a303963597d22adea77a940343f3eadbcaa4c"}, + {file = "fonttools-4.58.0-cp313-cp313-win_amd64.whl", hash = "sha256:75e68ee2ec9aaa173cf5e33f243da1d51d653d5e25090f2722bc644a78db0f1a"}, + {file = "fonttools-4.58.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d3e6f49f24ce313fe674213314a5ff7d2839d7d143d9e2f8a6140bf93de59797"}, + {file = "fonttools-4.58.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d76bf18647d3aa2a4a539d947a9974e5fb3cd6300ed8d8166b63ab201830d9ed"}, + {file = "fonttools-4.58.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c47ed13683b02be5c5db296dc80fd42cc65e1a694c32b2e482714d50c05f8a00"}, + {file = "fonttools-4.58.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d63b51485b2da4e74ca5ad8bec084400300a8e7a30799df14d915fd9441e2824"}, + {file = "fonttools-4.58.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:187db44b7e1d4e042c23265d7cf7599d280af2e8de091e46e89e7ec4c0729ccf"}, + {file = "fonttools-4.58.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:fde9b32f5964e2a3a2a58e5269673705eb636f604e3cdde24afb1838bf0a501a"}, + {file = "fonttools-4.58.0-cp39-cp39-win32.whl", hash = "sha256:ac2037a74b55d6fb2917460d0d6e1d88d35e26a62c70584271d3388f9ea179e1"}, + {file = "fonttools-4.58.0-cp39-cp39-win_amd64.whl", hash = "sha256:72b42acf0e5d3d61423ee22a1483647acdaf18378bb13970bf583142a2f4dcb8"}, + {file = "fonttools-4.58.0-py3-none-any.whl", hash = "sha256:c96c36880be2268be409df7b08c5b5dacac1827083461a6bc2cb07b8cbcec1d7"}, + {file = "fonttools-4.58.0.tar.gz", hash = "sha256:27423d0606a2c7b336913254bf0b1193ebd471d5f725d665e875c5e88a011a43"}, ] [package.extras] @@ -2065,45 +2060,45 @@ files = [ [[package]] name = "matplotlib" -version = "3.10.1" +version = "3.10.3" description = "Python plotting package" optional = false python-versions = ">=3.10" files = [ - {file = "matplotlib-3.10.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ff2ae14910be903f4a24afdbb6d7d3a6c44da210fc7d42790b87aeac92238a16"}, - {file = "matplotlib-3.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0721a3fd3d5756ed593220a8b86808a36c5031fce489adb5b31ee6dbb47dd5b2"}, - {file = "matplotlib-3.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0673b4b8f131890eb3a1ad058d6e065fb3c6e71f160089b65f8515373394698"}, - {file = "matplotlib-3.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e875b95ac59a7908978fe307ecdbdd9a26af7fa0f33f474a27fcf8c99f64a19"}, - {file = "matplotlib-3.10.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2589659ea30726284c6c91037216f64a506a9822f8e50592d48ac16a2f29e044"}, - {file = "matplotlib-3.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:a97ff127f295817bc34517255c9db6e71de8eddaab7f837b7d341dee9f2f587f"}, - {file = "matplotlib-3.10.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:057206ff2d6ab82ff3e94ebd94463d084760ca682ed5f150817b859372ec4401"}, - {file = "matplotlib-3.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a144867dd6bf8ba8cb5fc81a158b645037e11b3e5cf8a50bd5f9917cb863adfe"}, - {file = "matplotlib-3.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56c5d9fcd9879aa8040f196a235e2dcbdf7dd03ab5b07c0696f80bc6cf04bedd"}, - {file = "matplotlib-3.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f69dc9713e4ad2fb21a1c30e37bd445d496524257dfda40ff4a8efb3604ab5c"}, - {file = "matplotlib-3.10.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4c59af3e8aca75d7744b68e8e78a669e91ccbcf1ac35d0102a7b1b46883f1dd7"}, - {file = "matplotlib-3.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:11b65088c6f3dae784bc72e8d039a2580186285f87448babb9ddb2ad0082993a"}, - {file = "matplotlib-3.10.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:66e907a06e68cb6cfd652c193311d61a12b54f56809cafbed9736ce5ad92f107"}, - {file = "matplotlib-3.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b4bb156abb8fa5e5b2b460196f7db7264fc6d62678c03457979e7d5254b7be"}, - {file = "matplotlib-3.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1985ad3d97f51307a2cbfc801a930f120def19ba22864182dacef55277102ba6"}, - {file = "matplotlib-3.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c96f2c2f825d1257e437a1482c5a2cf4fee15db4261bd6fc0750f81ba2b4ba3d"}, - {file = "matplotlib-3.10.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:35e87384ee9e488d8dd5a2dd7baf471178d38b90618d8ea147aced4ab59c9bea"}, - {file = "matplotlib-3.10.1-cp312-cp312-win_amd64.whl", hash = "sha256:cfd414bce89cc78a7e1d25202e979b3f1af799e416010a20ab2b5ebb3a02425c"}, - {file = "matplotlib-3.10.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c42eee41e1b60fd83ee3292ed83a97a5f2a8239b10c26715d8a6172226988d7b"}, - {file = "matplotlib-3.10.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4f0647b17b667ae745c13721602b540f7aadb2a32c5b96e924cd4fea5dcb90f1"}, - {file = "matplotlib-3.10.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa3854b5f9473564ef40a41bc922be978fab217776e9ae1545c9b3a5cf2092a3"}, - {file = "matplotlib-3.10.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e496c01441be4c7d5f96d4e40f7fca06e20dcb40e44c8daa2e740e1757ad9e6"}, - {file = "matplotlib-3.10.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5d45d3f5245be5b469843450617dcad9af75ca50568acf59997bed9311131a0b"}, - {file = "matplotlib-3.10.1-cp313-cp313-win_amd64.whl", hash = "sha256:8e8e25b1209161d20dfe93037c8a7f7ca796ec9aa326e6e4588d8c4a5dd1e473"}, - {file = "matplotlib-3.10.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:19b06241ad89c3ae9469e07d77efa87041eac65d78df4fcf9cac318028009b01"}, - {file = "matplotlib-3.10.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:01e63101ebb3014e6e9f80d9cf9ee361a8599ddca2c3e166c563628b39305dbb"}, - {file = "matplotlib-3.10.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f06bad951eea6422ac4e8bdebcf3a70c59ea0a03338c5d2b109f57b64eb3972"}, - {file = "matplotlib-3.10.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3dfb036f34873b46978f55e240cff7a239f6c4409eac62d8145bad3fc6ba5a3"}, - {file = "matplotlib-3.10.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:dc6ab14a7ab3b4d813b88ba957fc05c79493a037f54e246162033591e770de6f"}, - {file = "matplotlib-3.10.1-cp313-cp313t-win_amd64.whl", hash = "sha256:bc411ebd5889a78dabbc457b3fa153203e22248bfa6eedc6797be5df0164dbf9"}, - {file = "matplotlib-3.10.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:648406f1899f9a818cef8c0231b44dcfc4ff36f167101c3fd1c9151f24220fdc"}, - {file = "matplotlib-3.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:02582304e352f40520727984a5a18f37e8187861f954fea9be7ef06569cf85b4"}, - {file = "matplotlib-3.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3809916157ba871bcdd33d3493acd7fe3037db5daa917ca6e77975a94cef779"}, - {file = "matplotlib-3.10.1.tar.gz", hash = "sha256:e8d2d0e3881b129268585bf4765ad3ee73a4591d77b9a18c214ac7e3a79fb2ba"}, + {file = "matplotlib-3.10.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:213fadd6348d106ca7db99e113f1bea1e65e383c3ba76e8556ba4a3054b65ae7"}, + {file = "matplotlib-3.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3bec61cb8221f0ca6313889308326e7bb303d0d302c5cc9e523b2f2e6c73deb"}, + {file = "matplotlib-3.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c21ae75651c0231b3ba014b6d5e08fb969c40cdb5a011e33e99ed0c9ea86ecb"}, + {file = "matplotlib-3.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a49e39755580b08e30e3620efc659330eac5d6534ab7eae50fa5e31f53ee4e30"}, + {file = "matplotlib-3.10.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cf4636203e1190871d3a73664dea03d26fb019b66692cbfd642faafdad6208e8"}, + {file = "matplotlib-3.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:fd5641a9bb9d55f4dd2afe897a53b537c834b9012684c8444cc105895c8c16fd"}, + {file = "matplotlib-3.10.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:0ef061f74cd488586f552d0c336b2f078d43bc00dc473d2c3e7bfee2272f3fa8"}, + {file = "matplotlib-3.10.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d96985d14dc5f4a736bbea4b9de9afaa735f8a0fc2ca75be2fa9e96b2097369d"}, + {file = "matplotlib-3.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c5f0283da91e9522bdba4d6583ed9d5521566f63729ffb68334f86d0bb98049"}, + {file = "matplotlib-3.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fdfa07c0ec58035242bc8b2c8aae37037c9a886370eef6850703d7583e19964b"}, + {file = "matplotlib-3.10.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c0b9849a17bce080a16ebcb80a7b714b5677d0ec32161a2cc0a8e5a6030ae220"}, + {file = "matplotlib-3.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:eef6ed6c03717083bc6d69c2d7ee8624205c29a8e6ea5a31cd3492ecdbaee1e1"}, + {file = "matplotlib-3.10.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0ab1affc11d1f495ab9e6362b8174a25afc19c081ba5b0775ef00533a4236eea"}, + {file = "matplotlib-3.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2a818d8bdcafa7ed2eed74487fdb071c09c1ae24152d403952adad11fa3c65b4"}, + {file = "matplotlib-3.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748ebc3470c253e770b17d8b0557f0aa85cf8c63fd52f1a61af5b27ec0b7ffee"}, + {file = "matplotlib-3.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed70453fd99733293ace1aec568255bc51c6361cb0da94fa5ebf0649fdb2150a"}, + {file = "matplotlib-3.10.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dbed9917b44070e55640bd13419de83b4c918e52d97561544814ba463811cbc7"}, + {file = "matplotlib-3.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:cf37d8c6ef1a48829443e8ba5227b44236d7fcaf7647caa3178a4ff9f7a5be05"}, + {file = "matplotlib-3.10.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9f2efccc8dcf2b86fc4ee849eea5dcaecedd0773b30f47980dc0cbeabf26ec84"}, + {file = "matplotlib-3.10.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3ddbba06a6c126e3301c3d272a99dcbe7f6c24c14024e80307ff03791a5f294e"}, + {file = "matplotlib-3.10.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:748302b33ae9326995b238f606e9ed840bf5886ebafcb233775d946aa8107a15"}, + {file = "matplotlib-3.10.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a80fcccbef63302c0efd78042ea3c2436104c5b1a4d3ae20f864593696364ac7"}, + {file = "matplotlib-3.10.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:55e46cbfe1f8586adb34f7587c3e4f7dedc59d5226719faf6cb54fc24f2fd52d"}, + {file = "matplotlib-3.10.3-cp313-cp313-win_amd64.whl", hash = "sha256:151d89cb8d33cb23345cd12490c76fd5d18a56581a16d950b48c6ff19bb2ab93"}, + {file = "matplotlib-3.10.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:c26dd9834e74d164d06433dc7be5d75a1e9890b926b3e57e74fa446e1a62c3e2"}, + {file = "matplotlib-3.10.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:24853dad5b8c84c8c2390fc31ce4858b6df504156893292ce8092d190ef8151d"}, + {file = "matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68f7878214d369d7d4215e2a9075fef743be38fa401d32e6020bab2dfabaa566"}, + {file = "matplotlib-3.10.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6929fc618cb6db9cb75086f73b3219bbb25920cb24cee2ea7a12b04971a4158"}, + {file = "matplotlib-3.10.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:6c7818292a5cc372a2dc4c795e5c356942eb8350b98ef913f7fda51fe175ac5d"}, + {file = "matplotlib-3.10.3-cp313-cp313t-win_amd64.whl", hash = "sha256:4f23ffe95c5667ef8a2b56eea9b53db7f43910fa4a2d5472ae0f72b64deab4d5"}, + {file = "matplotlib-3.10.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:86ab63d66bbc83fdb6733471d3bff40897c1e9921cba112accd748eee4bce5e4"}, + {file = "matplotlib-3.10.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:a48f9c08bf7444b5d2391a83e75edb464ccda3c380384b36532a0962593a1751"}, + {file = "matplotlib-3.10.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb73d8aa75a237457988f9765e4dfe1c0d2453c5ca4eabc897d4309672c8e014"}, + {file = "matplotlib-3.10.3.tar.gz", hash = "sha256:2f82d2c5bb7ae93aaaa4cd42aca65d76ce6376f83304fa3a630b569aca274df0"}, ] [package.dependencies] @@ -2290,13 +2285,13 @@ testing-docutils = ["pygments", "pytest (>=7,<8)", "pytest-param-files (>=0.3.4, [[package]] name = "narwhals" -version = "1.37.1" +version = "1.39.0" description = "Extremely lightweight compatibility layer between dataframe libraries" optional = false python-versions = ">=3.8" files = [ - {file = "narwhals-1.37.1-py3-none-any.whl", hash = "sha256:6f358a23b7351897d6efb45496dc0528918ce4ca6c8f9631594885cd873576a7"}, - {file = "narwhals-1.37.1.tar.gz", hash = "sha256:1eb8f17ff00e6c471d5afb704e9068f41657234eb73bde2ee66ad975a170015b"}, + {file = "narwhals-1.39.0-py3-none-any.whl", hash = "sha256:50b6778f4b4249eb86c88dd17c3907dd004a16ec25b02d5effaf226a2bcfb940"}, + {file = "narwhals-1.39.0.tar.gz", hash = "sha256:6f114def701fc6a23b0523ad53700ae545ad3f5ece041c64dc3ad59e699da43f"}, ] [package.extras] @@ -2970,13 +2965,13 @@ testing = ["pytest", "pytest-cov", "wheel"] [[package]] name = "platformdirs" -version = "4.3.7" +version = "4.3.8" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.9" files = [ - {file = "platformdirs-4.3.7-py3-none-any.whl", hash = "sha256:a03875334331946f13c549dbd8f4bac7a13a50a895a0eb1e8c6a8ace80d40a94"}, - {file = "platformdirs-4.3.7.tar.gz", hash = "sha256:eb437d586b6a0986388f0d6f74aa0cde27b48d0e3d66843640bfb6bdcdb6e351"}, + {file = "platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4"}, + {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"}, ] [package.extras] @@ -3416,42 +3411,42 @@ windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pyogrio" -version = "0.10.0" +version = "0.11.0" description = "Vectorized spatial vector file format I/O using GDAL/OGR" optional = false python-versions = ">=3.9" files = [ - {file = "pyogrio-0.10.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:046eeeae12a03a3ebc3dc5ff5a87664e4f5fc0a4fb1ea5d5c45d547fa941072b"}, - {file = "pyogrio-0.10.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:44380f4d9245c776f432526e29ce4d29238aea26adad991803c4f453474f51d3"}, - {file = "pyogrio-0.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14fd3b72b4e2dc59e264607b265c742b0c5ec2ea9e748b115f742381b28dd373"}, - {file = "pyogrio-0.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:1fea7892f4633cab04d13563e47ec2e87dc2b5cd71b9546018d123184528c151"}, - {file = "pyogrio-0.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:3539596a76eb8a9d166d6f9d3f36731a8c5bd5c43901209d89dc66b9dc00f079"}, - {file = "pyogrio-0.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:eac90b2501656892c63bc500c12e71f3dbf7d66ddc5a7fb05cd480d25d1b7022"}, - {file = "pyogrio-0.10.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5b1a51431a27a1cb3e4e19558939c1423106e06e7b67d6285f4fba9c2d0a91b9"}, - {file = "pyogrio-0.10.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:216d69cd77b2b4a0c9d7d449bc239f8b77f3d73f4a05d9c738a0745b236902d8"}, - {file = "pyogrio-0.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2f0b75f0077ce33256aec6278c2a9c3b79bf0637ddf4f93d3ab2609f0501d96"}, - {file = "pyogrio-0.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:0a47f702d29808c557d2ebea8542c23903f021eae44e16838adef2ab4281c71b"}, - {file = "pyogrio-0.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:11e6c71d12da6b445e77d0fc0198db1bd35a77e03a0685e45338cbab9ce02add"}, - {file = "pyogrio-0.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:d0d74e91a9c0ff2f9abe01b556ff663977193b2d6922208406172d0fc833beff"}, - {file = "pyogrio-0.10.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2d6558b180e020f71ab7aa7f82d592ed3305c9f698d98f6d0a4637ec7a84c4ce"}, - {file = "pyogrio-0.10.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:a99102037eead8ba491bc57825c1e395ee31c9956d7bff7b4a9e4fdbff3a13c2"}, - {file = "pyogrio-0.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a4c373281d7cbf560c5b61f8f3c7442103ad7f1c7ac4ef3a84572ed7a5dd2f6"}, - {file = "pyogrio-0.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:19f18411bdf836d24cdc08b9337eb3ec415e4ac4086ba64516b36b73a2e88622"}, - {file = "pyogrio-0.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:1abbcdd9876f30bebf1df8a0273f6cdeb29d03259290008275c7fddebe139f20"}, - {file = "pyogrio-0.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2a3e09839590d71ff832aa95c4f23fa00a2c63c3de82c1fbd4fb8d265792acfc"}, - {file = "pyogrio-0.10.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:c90478209537a31dcc65664a87a04c094bb0e08efe502908a6682b8cec0259bf"}, - {file = "pyogrio-0.10.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:fec45e1963b7058e5a1aa98598aed07c0858512c833d6aad2c672c3ec98bbf04"}, - {file = "pyogrio-0.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28cb139f8a5d0365ede602230104b407ae52bb6b55173c8d5a35424d28c4a2c5"}, - {file = "pyogrio-0.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:cea0187fcc2d574e52af8cfab041fa0a7ad71d5ef6b94b49a3f3d2a04534a27e"}, - {file = "pyogrio-0.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:7c02b207ea8cf09c501ea3e95d29152781a00d3c32267286bc36fa457c332205"}, - {file = "pyogrio-0.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:02e54bcfb305af75f829044b0045f74de31b77c2d6546f7aaf96822066147848"}, - {file = "pyogrio-0.10.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ea96a1338ed7991735b955d3f84ad5f71b3bc070b6a7a42449941aedecc71768"}, - {file = "pyogrio-0.10.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:32d349600561459791a43f528a92f3e9343a59bdc9bc30b1be9376f0b80cbf16"}, - {file = "pyogrio-0.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82f7bd6a87bd2e9484bcb4c87ab94eee4c2f573ad148707431c8b341d7f13d99"}, - {file = "pyogrio-0.10.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:6166ae81462c257ed8e151c404e316642703813cf771c95ef8e11dcdf2581e47"}, - {file = "pyogrio-0.10.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:22d57495e835fe51b88da43dfbda606c07e1f6c3b849af0c3cfc18e17467641c"}, - {file = "pyogrio-0.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:eea82171bfc07fc778b8dc87b0cdc9ac06c389bc56b0c0b6f34bf9e45fb78c0e"}, - {file = "pyogrio-0.10.0.tar.gz", hash = "sha256:ec051cb568324de878828fae96379b71858933413e185148acb6c162851ab23c"}, + {file = "pyogrio-0.11.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:47e7aa1e2f345a08009a38c14db16ccdadb31313919efe0903228265df3e1962"}, + {file = "pyogrio-0.11.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:ad9734da7c95cb272f311c1a8ea61181f3ae0f539d5da5af5c88acee0fd6b707"}, + {file = "pyogrio-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1784372868fb20ba32422ce803ad464b39ec26b41587576122b3884ba7533f2c"}, + {file = "pyogrio-0.11.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c307b54b939a1ade5caf737c9297d4c0f8af314c455bc79228fe9bee2fe2e183"}, + {file = "pyogrio-0.11.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:6013501408a0f676ffb9758e83b4e06ef869885d6315417e098c4d3737ba1e39"}, + {file = "pyogrio-0.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:2b6f2c56f01ea552480e6f7d3deb1228e3babd35a0f314aa076505e2c4f55711"}, + {file = "pyogrio-0.11.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:862b79d36d39c1f755739bde00cfd82fd1034fd287084d9202b14e3a85576f5c"}, + {file = "pyogrio-0.11.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:21b1924c02513185e3df1301dfc9d313f1450d7c366f8629e26757f51ba31003"}, + {file = "pyogrio-0.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:103313202414ffa7378016791d287442541af60ac57b78536f0c67f3a82904a4"}, + {file = "pyogrio-0.11.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2e48956e68c41a17cbf3df32d979553de2839a082a7a9b0beef14948aa4ca5df"}, + {file = "pyogrio-0.11.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ec5666cc8bf97aef9993c998198f85fe209b8a9ad4737696d3d2ab573b3e9a5b"}, + {file = "pyogrio-0.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:8ad3744e679de2a31b1a885dc5ea260e3482f0d5e71461a88f431cda8d536b17"}, + {file = "pyogrio-0.11.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:a6f114d32c5c8a157c6fbf74e3ecfe69be7efb29363102f2aad14c9813de637a"}, + {file = "pyogrio-0.11.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:596e3f26e792882e35f25715634c12c1d6658a3d8d178c0089a9462c56b48be5"}, + {file = "pyogrio-0.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11d693ca24e80bd7ede7b27ea3598593be5b41fb7cec315a57f5bb24d15faef8"}, + {file = "pyogrio-0.11.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:961100786ae44e2f27b4049b5262e378a3cba07872fc22051905fed8b4ce42db"}, + {file = "pyogrio-0.11.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:334563d24defc5d706bd2a1fa7d7433e33140e64b0fb9cb4afc715e4f6035c2b"}, + {file = "pyogrio-0.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:bf1f9128136abcbd1605d6fc6bf8c529c2092558246d8046ee6fbc383c550074"}, + {file = "pyogrio-0.11.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:0b39e34199460dcd6a606db184094e69bcba89d1babb9a76cee74a134b53b232"}, + {file = "pyogrio-0.11.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:5a952ef7a68fdfaf796a91b88c706108cb50ddd0a74096418e84aab7ac8a38be"}, + {file = "pyogrio-0.11.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4527abcac23bdac5781f9be9a7dd55fccd9967c7241a8e53de8ea1a06ea0cc2b"}, + {file = "pyogrio-0.11.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:373a29d56a9016978aff57b88a640b5a8c3024dba7be1c059ad5af4ba932b59e"}, + {file = "pyogrio-0.11.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:ea2a131369ae8e62e30fa4f7e1442074d4828417d05ded660acea04a6a1d199b"}, + {file = "pyogrio-0.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:bf041d65bd1e89a4bb61845579c2963f2cca1bb33cde79f4ec2c0e0dc6f93afb"}, + {file = "pyogrio-0.11.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:d981a47fc7ade7eb488c0f8b9e1488973bc60b4a6692f2c7ca3812dc38c474c6"}, + {file = "pyogrio-0.11.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:d583cab4225fa55bfd9bf730436dcc664a90eb77e22367259a49cedb0f6729ce"}, + {file = "pyogrio-0.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b23ad2b89d4943d3f8eda011d2e50c1cab02cce9cd34cae263a597410886cd43"}, + {file = "pyogrio-0.11.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:dd872ee4cc5314b3881015c0dddf55f2f1f25f078bd08fcfe240f2264e6073ac"}, + {file = "pyogrio-0.11.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:81cd98c44005c455ae2bbe3490623506bf340bb674ec3c161f9260de01f6bd1b"}, + {file = "pyogrio-0.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:5fb0da79e2c73856c2b2178d5ec11b9f2ab36213b356f1221c4514cd94e3e91b"}, + {file = "pyogrio-0.11.0.tar.gz", hash = "sha256:a7e0a97bc10c0d7204f6bf52e1b928cba0554c35a907c32b23065aed1ed97b3f"}, ] [package.dependencies] @@ -4204,57 +4199,57 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc ( [[package]] name = "scipy" -version = "1.15.2" +version = "1.15.3" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" files = [ - {file = "scipy-1.15.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a2ec871edaa863e8213ea5df811cd600734f6400b4af272e1c011e69401218e9"}, - {file = "scipy-1.15.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:6f223753c6ea76983af380787611ae1291e3ceb23917393079dcc746ba60cfb5"}, - {file = "scipy-1.15.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:ecf797d2d798cf7c838c6d98321061eb3e72a74710e6c40540f0e8087e3b499e"}, - {file = "scipy-1.15.2-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:9b18aa747da280664642997e65aab1dd19d0c3d17068a04b3fe34e2559196cb9"}, - {file = "scipy-1.15.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87994da02e73549dfecaed9e09a4f9d58a045a053865679aeb8d6d43747d4df3"}, - {file = "scipy-1.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69ea6e56d00977f355c0f84eba69877b6df084516c602d93a33812aa04d90a3d"}, - {file = "scipy-1.15.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:888307125ea0c4466287191e5606a2c910963405ce9671448ff9c81c53f85f58"}, - {file = "scipy-1.15.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9412f5e408b397ff5641080ed1e798623dbe1ec0d78e72c9eca8992976fa65aa"}, - {file = "scipy-1.15.2-cp310-cp310-win_amd64.whl", hash = "sha256:b5e025e903b4f166ea03b109bb241355b9c42c279ea694d8864d033727205e65"}, - {file = "scipy-1.15.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:92233b2df6938147be6fa8824b8136f29a18f016ecde986666be5f4d686a91a4"}, - {file = "scipy-1.15.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:62ca1ff3eb513e09ed17a5736929429189adf16d2d740f44e53270cc800ecff1"}, - {file = "scipy-1.15.2-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:4c6676490ad76d1c2894d77f976144b41bd1a4052107902238047fb6a473e971"}, - {file = "scipy-1.15.2-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:a8bf5cb4a25046ac61d38f8d3c3426ec11ebc350246a4642f2f315fe95bda655"}, - {file = "scipy-1.15.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a8e34cf4c188b6dd004654f88586d78f95639e48a25dfae9c5e34a6dc34547e"}, - {file = "scipy-1.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28a0d2c2075946346e4408b211240764759e0fabaeb08d871639b5f3b1aca8a0"}, - {file = "scipy-1.15.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:42dabaaa798e987c425ed76062794e93a243be8f0f20fff6e7a89f4d61cb3d40"}, - {file = "scipy-1.15.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6f5e296ec63c5da6ba6fa0343ea73fd51b8b3e1a300b0a8cae3ed4b1122c7462"}, - {file = "scipy-1.15.2-cp311-cp311-win_amd64.whl", hash = "sha256:597a0c7008b21c035831c39927406c6181bcf8f60a73f36219b69d010aa04737"}, - {file = "scipy-1.15.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c4697a10da8f8765bb7c83e24a470da5797e37041edfd77fd95ba3811a47c4fd"}, - {file = "scipy-1.15.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:869269b767d5ee7ea6991ed7e22b3ca1f22de73ab9a49c44bad338b725603301"}, - {file = "scipy-1.15.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:bad78d580270a4d32470563ea86c6590b465cb98f83d760ff5b0990cb5518a93"}, - {file = "scipy-1.15.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b09ae80010f52efddb15551025f9016c910296cf70adbf03ce2a8704f3a5ad20"}, - {file = "scipy-1.15.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a6fd6eac1ce74a9f77a7fc724080d507c5812d61e72bd5e4c489b042455865e"}, - {file = "scipy-1.15.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b871df1fe1a3ba85d90e22742b93584f8d2b8e6124f8372ab15c71b73e428b8"}, - {file = "scipy-1.15.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:03205d57a28e18dfd39f0377d5002725bf1f19a46f444108c29bdb246b6c8a11"}, - {file = "scipy-1.15.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:601881dfb761311045b03114c5fe718a12634e5608c3b403737ae463c9885d53"}, - {file = "scipy-1.15.2-cp312-cp312-win_amd64.whl", hash = "sha256:e7c68b6a43259ba0aab737237876e5c2c549a031ddb7abc28c7b47f22e202ded"}, - {file = "scipy-1.15.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:01edfac9f0798ad6b46d9c4c9ca0e0ad23dbf0b1eb70e96adb9fa7f525eff0bf"}, - {file = "scipy-1.15.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:08b57a9336b8e79b305a143c3655cc5bdbe6d5ece3378578888d2afbb51c4e37"}, - {file = "scipy-1.15.2-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:54c462098484e7466362a9f1672d20888f724911a74c22ae35b61f9c5919183d"}, - {file = "scipy-1.15.2-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:cf72ff559a53a6a6d77bd8eefd12a17995ffa44ad86c77a5df96f533d4e6c6bb"}, - {file = "scipy-1.15.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9de9d1416b3d9e7df9923ab23cd2fe714244af10b763975bea9e4f2e81cebd27"}, - {file = "scipy-1.15.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb530e4794fc8ea76a4a21ccb67dea33e5e0e60f07fc38a49e821e1eae3b71a0"}, - {file = "scipy-1.15.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5ea7ed46d437fc52350b028b1d44e002646e28f3e8ddc714011aaf87330f2f32"}, - {file = "scipy-1.15.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:11e7ad32cf184b74380f43d3c0a706f49358b904fa7d5345f16ddf993609184d"}, - {file = "scipy-1.15.2-cp313-cp313-win_amd64.whl", hash = "sha256:a5080a79dfb9b78b768cebf3c9dcbc7b665c5875793569f48bf0e2b1d7f68f6f"}, - {file = "scipy-1.15.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:447ce30cee6a9d5d1379087c9e474628dab3db4a67484be1b7dc3196bfb2fac9"}, - {file = "scipy-1.15.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:c90ebe8aaa4397eaefa8455a8182b164a6cc1d59ad53f79943f266d99f68687f"}, - {file = "scipy-1.15.2-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:def751dd08243934c884a3221156d63e15234a3155cf25978b0a668409d45eb6"}, - {file = "scipy-1.15.2-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:302093e7dfb120e55515936cb55618ee0b895f8bcaf18ff81eca086c17bd80af"}, - {file = "scipy-1.15.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cd5b77413e1855351cdde594eca99c1f4a588c2d63711388b6a1f1c01f62274"}, - {file = "scipy-1.15.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d0194c37037707b2afa7a2f2a924cf7bac3dc292d51b6a925e5fcb89bc5c776"}, - {file = "scipy-1.15.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:bae43364d600fdc3ac327db99659dcb79e6e7ecd279a75fe1266669d9a652828"}, - {file = "scipy-1.15.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f031846580d9acccd0044efd1a90e6f4df3a6e12b4b6bd694a7bc03a89892b28"}, - {file = "scipy-1.15.2-cp313-cp313t-win_amd64.whl", hash = "sha256:fe8a9eb875d430d81755472c5ba75e84acc980e4a8f6204d402849234d3017db"}, - {file = "scipy-1.15.2.tar.gz", hash = "sha256:cd58a314d92838f7e6f755c8a2167ead4f27e1fd5c1251fd54289569ef3495ec"}, + {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, + {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, + {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:aef683a9ae6eb00728a542b796f52a5477b78252edede72b8327a886ab63293f"}, + {file = "scipy-1.15.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:1c832e1bd78dea67d5c16f786681b28dd695a8cb1fb90af2e27580d3d0967e92"}, + {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:263961f658ce2165bbd7b99fa5135195c3a12d9bef045345016b8b50c315cb82"}, + {file = "scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e2abc762b0811e09a0d3258abee2d98e0c703eee49464ce0069590846f31d40"}, + {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ed7284b21a7a0c8f1b6e5977ac05396c0d008b89e05498c8b7e8f4a1423bba0e"}, + {file = "scipy-1.15.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5380741e53df2c566f4d234b100a484b420af85deb39ea35a1cc1be84ff53a5c"}, + {file = "scipy-1.15.3-cp310-cp310-win_amd64.whl", hash = "sha256:9d61e97b186a57350f6d6fd72640f9e99d5a4a2b8fbf4b9ee9a841eab327dc13"}, + {file = "scipy-1.15.3-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:993439ce220d25e3696d1b23b233dd010169b62f6456488567e830654ee37a6b"}, + {file = "scipy-1.15.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:34716e281f181a02341ddeaad584205bd2fd3c242063bd3423d61ac259ca7eba"}, + {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3b0334816afb8b91dab859281b1b9786934392aa3d527cd847e41bb6f45bee65"}, + {file = "scipy-1.15.3-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:6db907c7368e3092e24919b5e31c76998b0ce1684d51a90943cb0ed1b4ffd6c1"}, + {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:721d6b4ef5dc82ca8968c25b111e307083d7ca9091bc38163fb89243e85e3889"}, + {file = "scipy-1.15.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39cb9c62e471b1bb3750066ecc3a3f3052b37751c7c3dfd0fd7e48900ed52982"}, + {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:795c46999bae845966368a3c013e0e00947932d68e235702b5c3f6ea799aa8c9"}, + {file = "scipy-1.15.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:18aaacb735ab38b38db42cb01f6b92a2d0d4b6aabefeb07f02849e47f8fb3594"}, + {file = "scipy-1.15.3-cp311-cp311-win_amd64.whl", hash = "sha256:ae48a786a28412d744c62fd7816a4118ef97e5be0bee968ce8f0a2fba7acf3bb"}, + {file = "scipy-1.15.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:6ac6310fdbfb7aa6612408bd2f07295bcbd3fda00d2d702178434751fe48e019"}, + {file = "scipy-1.15.3-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:185cd3d6d05ca4b44a8f1595af87f9c372bb6acf9c808e99aa3e9aa03bd98cf6"}, + {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:05dc6abcd105e1a29f95eada46d4a3f251743cfd7d3ae8ddb4088047f24ea477"}, + {file = "scipy-1.15.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:06efcba926324df1696931a57a176c80848ccd67ce6ad020c810736bfd58eb1c"}, + {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c05045d8b9bfd807ee1b9f38761993297b10b245f012b11b13b91ba8945f7e45"}, + {file = "scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271e3713e645149ea5ea3e97b57fdab61ce61333f97cfae392c28ba786f9bb49"}, + {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6cfd56fc1a8e53f6e89ba3a7a7251f7396412d655bca2aa5611c8ec9a6784a1e"}, + {file = "scipy-1.15.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ff17c0bb1cb32952c09217d8d1eed9b53d1463e5f1dd6052c7857f83127d539"}, + {file = "scipy-1.15.3-cp312-cp312-win_amd64.whl", hash = "sha256:52092bc0472cfd17df49ff17e70624345efece4e1a12b23783a1ac59a1b728ed"}, + {file = "scipy-1.15.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c620736bcc334782e24d173c0fdbb7590a0a436d2fdf39310a8902505008759"}, + {file = "scipy-1.15.3-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:7e11270a000969409d37ed399585ee530b9ef6aa99d50c019de4cb01e8e54e62"}, + {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:8c9ed3ba2c8a2ce098163a9bdb26f891746d02136995df25227a20e71c396ebb"}, + {file = "scipy-1.15.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0bdd905264c0c9cfa74a4772cdb2070171790381a5c4d312c973382fc6eaf730"}, + {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79167bba085c31f38603e11a267d862957cbb3ce018d8b38f79ac043bc92d825"}, + {file = "scipy-1.15.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9deabd6d547aee2c9a81dee6cc96c6d7e9a9b1953f74850c179f91fdc729cb7"}, + {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:dde4fc32993071ac0c7dd2d82569e544f0bdaff66269cb475e0f369adad13f11"}, + {file = "scipy-1.15.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f77f853d584e72e874d87357ad70f44b437331507d1c311457bed8ed2b956126"}, + {file = "scipy-1.15.3-cp313-cp313-win_amd64.whl", hash = "sha256:b90ab29d0c37ec9bf55424c064312930ca5f4bde15ee8619ee44e69319aab163"}, + {file = "scipy-1.15.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3ac07623267feb3ae308487c260ac684b32ea35fd81e12845039952f558047b8"}, + {file = "scipy-1.15.3-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6487aa99c2a3d509a5227d9a5e889ff05830a06b2ce08ec30df6d79db5fcd5c5"}, + {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:50f9e62461c95d933d5c5ef4a1f2ebf9a2b4e83b0db374cb3f1de104d935922e"}, + {file = "scipy-1.15.3-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14ed70039d182f411ffc74789a16df3835e05dc469b898233a245cdfd7f162cb"}, + {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a769105537aa07a69468a0eefcd121be52006db61cdd8cac8a0e68980bbb723"}, + {file = "scipy-1.15.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9db984639887e3dffb3928d118145ffe40eff2fa40cb241a306ec57c219ebbbb"}, + {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:40e54d5c7e7ebf1aa596c374c49fa3135f04648a0caabcb66c52884b943f02b4"}, + {file = "scipy-1.15.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5e721fed53187e71d0ccf382b6bf977644c533e506c4d33c3fb24de89f5c3ed5"}, + {file = "scipy-1.15.3-cp313-cp313t-win_amd64.whl", hash = "sha256:76ad1fb5f8752eabf0fa02e4cc0336b4e8f021e2d5f061ed37d6d264db35e3ca"}, + {file = "scipy-1.15.3.tar.gz", hash = "sha256:eae3cf522bc7df64b42cad3925c876e1b0b6c35c1337c93e12c0f366f55b0eaf"}, ] [package.dependencies] @@ -4262,7 +4257,7 @@ numpy = ">=1.23.5,<2.5" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] -doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.16.5)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] +doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] @@ -4382,13 +4377,13 @@ files = [ [[package]] name = "snowballstemmer" -version = "2.2.0" -description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms." +version = "3.0.1" +description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms." optional = false -python-versions = "*" +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*" files = [ - {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"}, - {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"}, + {file = "snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064"}, + {file = "snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895"}, ] [[package]] @@ -4853,13 +4848,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, [[package]] name = "trove-classifiers" -version = "2025.5.1.12" +version = "2025.5.9.12" description = "Canonical source for classifiers on PyPI (pypi.org)." optional = false python-versions = "*" files = [ - {file = "trove_classifiers-2025.5.1.12-py3-none-any.whl", hash = "sha256:9ed1030cfcc8d0eb944155f05b4add4efaceba4ba6aca3f9f348a21f1e700404"}, - {file = "trove_classifiers-2025.5.1.12.tar.gz", hash = "sha256:28d24c3d043dc6b0459813d6bf4a231e788509b55ee3d54ba08ce72638031182"}, + {file = "trove_classifiers-2025.5.9.12-py3-none-any.whl", hash = "sha256:e381c05537adac78881c8fa345fd0e9970159f4e4a04fcc42cfd3129cca640ce"}, + {file = "trove_classifiers-2025.5.9.12.tar.gz", hash = "sha256:7ca7c8a7a76e2cd314468c677c69d12cc2357711fcab4a60f87994c1589e5cb5"}, ] [[package]] @@ -4917,13 +4912,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "virtualenv" -version = "20.30.0" +version = "20.31.2" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" files = [ - {file = "virtualenv-20.30.0-py3-none-any.whl", hash = "sha256:e34302959180fca3af42d1800df014b35019490b119eba981af27f2fa486e5d6"}, - {file = "virtualenv-20.30.0.tar.gz", hash = "sha256:800863162bcaa5450a6e4d721049730e7f2dae07720e0902b0e4040bd6f9ada8"}, + {file = "virtualenv-20.31.2-py3-none-any.whl", hash = "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11"}, + {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"}, ] [package.dependencies] diff --git a/src/valenspy/diagnostic/visualizations.py b/src/valenspy/diagnostic/visualizations.py index 6700ea72..ec1be087 100644 --- a/src/valenspy/diagnostic/visualizations.py +++ b/src/valenspy/diagnostic/visualizations.py @@ -22,7 +22,8 @@ def plot_diurnal_cycle(da: xr.DataArray, **kwargs): - """Plot the daily cycle of the data. + """ + Plot the daily cycle of the data. Parameters ---------- @@ -47,7 +48,8 @@ def plot_diurnal_cycle(da: xr.DataArray, **kwargs): return ax def plot_annual_cycle(da: xr.DataArray, **kwargs): - """Plot the annual cycle of the data. + """ + Plot the annual cycle of the data. Parameters ---------- @@ -71,7 +73,8 @@ def plot_annual_cycle(da: xr.DataArray, **kwargs): def plot_time_series(da: xr.DataArray, **kwargs): - """Plot a time series of the data. + """ + Plot a time series of the data. Parameters ---------- diff --git a/src/valenspy/input/esm_catalog_builder.py b/src/valenspy/input/esm_catalog_builder.py index e45d7173..b52cef08 100644 --- a/src/valenspy/input/esm_catalog_builder.py +++ b/src/valenspy/input/esm_catalog_builder.py @@ -56,6 +56,7 @@ def __init__(self, catalog_id, datasets_info : dict | str = None): - pattern: The regex pattern for matching files in the dataset. This is the reletave path starting from the root and in the following format: //_fixed_part_/_.nc - meta_data: A dictionary containing metadata for the dataset. + """ self.catalog_id = catalog_id @@ -82,6 +83,7 @@ def add_dataset(self, dataset_name, dataset_info): The name of the dataset to update. dataset_info : dict The new dataset information to update. + """ #TODO - check if the dataset_name is already in the datasets_info self.datasets_info[dataset_name] = dataset_info diff --git a/src/valenspy/input/manager.py b/src/valenspy/input/manager.py index a0fee45e..6427d64d 100644 --- a/src/valenspy/input/manager.py +++ b/src/valenspy/input/manager.py @@ -152,6 +152,7 @@ def intake_to_xarray_kwargs(self): - preprocess: The preprocessor function which applies the input convertor to the dataset if an input convertor exists (i.e. source_id is in INPUT_CONVERTORS). - xarray_open_kwargs: The kwargs to be passed to xarray.open_dataset. - xarray_combine_by_coords_kwargs: The kwargs to be passed to xarray.combine_by_coords. + """ kwargs = { "preprocess": self.preprocess,} @@ -178,6 +179,7 @@ def _update_catalog(self, dataset_name, dataset_info_dict): - root: The root directory of the dataset. - pattern: The regex pattern for matching files in the dataset. - meta_data: A dictionary containing metadata for the dataset. + """ self.catalog_builder.add_dataset( dataset_name, @@ -199,6 +201,7 @@ def update_catalog_from_yaml(self, yaml_path): - pattern: The regex pattern for matching files in the dataset. This is the reletave path starting from the root and in the following format: //_fixed_part_/_.nc - meta_data: A dictionary containing metadata for the dataset. + """ # Load the YAML file datasets_info = load_yml(yaml_path) @@ -226,6 +229,7 @@ def update_catalog_from_dataset_info(self, dataset_name, dataset_root_dir, datas //_fixed_part_/_.nc metadata : dict, optional Additional metadata to include in the catalog. Default is an empty dictionary. + """ dataset_info = { "root": dataset_root_dir, @@ -242,6 +246,7 @@ def preprocess(self): A preprocessor function to convert the input dataset to ValEnsPy compliant data. This function applys the input convertor to the dataset if an input convertor exists (i.e. source_id is in this managers input convertors). + """ def process_IC(ds, IC_dict, df): diff --git a/src/valenspy/processing/indicators.py b/src/valenspy/processing/indicators.py index c07985da..1d2b2c20 100644 --- a/src/valenspy/processing/indicators.py +++ b/src/valenspy/processing/indicators.py @@ -43,4 +43,4 @@ def xclim_indicator_ds(ds: xr.Dataset, indicator: Indicator, vars: str | list, indicator, vars, kwargs=kwargs - ) \ No newline at end of file + )