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‎.gitignore

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*.pyc
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*.pyd
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*.dylib
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*.so
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coverage.html/*
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.coverage
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dist/*
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build/*
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*egg-info/*
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_doc/auto_examples/*

‎LICENSE.txt

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Copyright (c) 2023, Xavier Dupré
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.

‎MANIFEST.in

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prune _doc
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prune _unittests
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exclude *.bat
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exclude *.yml
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exclude *.git*

‎README.rst

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.. image:: https://dev.azure.com/xavierdupre3/onnx-array-api/_apis/build/status/sdpython.onnx-array-api
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:target: https://dev.azure.com/xavierdupre3/onnx-array-api/
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.. image:: https://badge.fury.io/py/onnx-array-api.svg
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:target: http://badge.fury.io/py/onnx-array-api
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.. image:: http://img.shields.io/github/issues/sdpython/onnx-array-api.png
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:alt: GitHub Issues
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:target: https://github.com/sdpython/onnx-array-api/issues
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.. image:: https://img.shields.io/badge/license-MIT-blue.svg
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:alt: MIT License
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:target: http://opensource.org/licenses/MIT
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.. image:: https://img.shields.io/github/repo-size/sdpython/onnx-array-api
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:target: https://github.com/sdpython/onnx-array-api/
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:alt: size
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onnx-array-api: (Numpy) Array API for ONNX
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==========================================
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.. image:: https://raw.githubusercontent.com/sdpython/onnx-array-api/main/doc/_static/logo.png
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:width: 50
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`documentation <http://www.xavierdupre.fr/app/onnx-array-api/helpsphinx/index.html>`_
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‎_doc/_static/logo.png

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‎_doc/api/index.rst

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===
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API
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===
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.. toctree::
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:maxdepth: 1
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npx

‎_doc/api/npx.rst

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.. _l-npx:
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Numpy API for ONNX
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==================
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See `Python array API standard <https://data-apis.org/array-api/latest/index.html>`_.
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.. contents::
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:local:
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Functions
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+++++++++
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.. autofunction:: onnx.npx.npx_functions.abs
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.. autofunction:: onnx.npx.npx_functions.absolute
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.. autofunction:: onnx.npx.npx_functions.arccos
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.. autofunction:: onnx.npx.npx_functions.arccosh
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.. autofunction:: onnx.npx.npx_functions.amax
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.. autofunction:: onnx.npx.npx_functions.amin
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.. autofunction:: onnx.npx.npx_functions.arange
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.. autofunction:: onnx.npx.npx_functions.argmax
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.. autofunction:: onnx.npx.npx_functions.argmin
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.. autofunction:: onnx.npx.npx_functions.arcsin
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.. autofunction:: onnx.npx.npx_functions.arcsinh
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.. autofunction:: onnx.npx.npx_functions.arctan
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.. autofunction:: onnx.npx.npx_functions.arctanh
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.. autofunction:: onnx.npx.npx_functions.cdist
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.. autofunction:: onnx.npx.npx_functions.ceil
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.. autofunction:: onnx.npx.npx_functions.clip
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.. autofunction:: onnx.npx.npx_functions.compress
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.. autofunction:: onnx.npx.npx_functions.compute
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.. autofunction:: onnx.npx.npx_functions.concat
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.. autofunction:: onnx.npx.npx_functions.cos
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.. autofunction:: onnx.npx.npx_functions.cosh
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.. autofunction:: onnx.npx.npx_functions.cumsum
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.. autofunction:: onnx.npx.npx_functions.det
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.. autofunction:: onnx.npx.npx_functions.dot
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.. autofunction:: onnx.npx.npx_functions.einsum
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.. autofunction:: onnx.npx.npx_functions.erf
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.. autofunction:: onnx.npx.npx_functions.exp
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.. autofunction:: onnx.npx.npx_functions.expand_dims
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.. autofunction:: onnx.npx.npx_functions.expit
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.. autofunction:: onnx.npx.npx_functions.floor
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.. autofunction:: onnx.npx.npx_functions.hstack
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.. autofunction:: onnx.npx.npx_functions.copy
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.. autofunction:: onnx.npx.npx_functions.identity
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.. autofunction:: onnx.npx.npx_functions.isnan
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.. autofunction:: onnx.npx.npx_functions.log
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.. autofunction:: onnx.npx.npx_functions.log1p
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.. autofunction:: onnx.npx.npx_functions.matmul
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.. autofunction:: onnx.npx.npx_functions.pad
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.. autofunction:: onnx.npx.npx_functions.reciprocal
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.. autofunction:: onnx.npx.npx_functions.relu
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.. autofunction:: onnx.npx.npx_functions.round
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.. autofunction:: onnx.npx.npx_functions.sigmoid
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.. autofunction:: onnx.npx.npx_functions.sign
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.. autofunction:: onnx.npx.npx_functions.sin
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.. autofunction:: onnx.npx.npx_functions.sinh
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.. autofunction:: onnx.npx.npx_functions.squeeze
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.. autofunction:: onnx.npx.npx_functions.tan
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.. autofunction:: onnx.npx.npx_functions.tanh
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.. autofunction:: onnx.npx.npx_functions.topk
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.. autofunction:: onnx.npx.npx_functions.transpose
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.. autofunction:: onnx.npx.npx_functions.unsqueeze
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.. autofunction:: onnx.npx.npx_functions.vstack
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.. autofunction:: onnx.npx.npx_functions.where
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Var
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+++
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.. autofunction:: onnx.npx.npx_var.Var
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Cst, Input
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++++++++++
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.. autofunction:: onnx.npx.npx_var.Cst
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.. autofunction:: onnx.npx.npx_var.Input
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API
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+++
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.. autofunction:: onnx.npx.npx_core_api.var
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.. autofunction:: onnx.npx.npx_core_api.cst
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.. autofunction:: onnx.npx.npx_jit_eager.jit_eager
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.. autofunction:: onnx.npx.npx_jit_eager.jit_onnx
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.. autofunction:: onnx.npx.npx_core_api.make_tuple
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.. autofunction:: onnx.npx.npx_core_api.tuple_var
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.. autofunction:: onnx.npx.npx_core_api.npxapi_inline
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.. autofunction:: onnx.npx.npx_core_api.npxapi_function
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JIT, Eager
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++++++++++
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.. autofunction:: onnx.npx.npx_jit_eager.JitEager
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.. autofunction:: onnx.npx.npx_jit_eager.JitOnnx
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Tensors
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+++++++
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.. autofunction:: onnx.npx.npx_tensors.NumpyTensor
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Annotations
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+++++++++++
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.. autofunction:: onnx.npx.npx_types.ElemType
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.. autofunction:: onnx.npx.npx_types.ParType
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.. autofunction:: onnx.npx.npx_types.OptParType
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.. autofunction:: onnx.npx.npx_types.TensorType
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.. autofunction:: onnx.npx.npx_types.SequenceType
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.. autofunction:: onnx.npx.npx_types.TupleType
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.. autofunction:: onnx.npx.npx_types.Bool
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.. autofunction:: onnx.npx.npx_types.BFloat16
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.. autofunction:: onnx.npx.npx_types.Float16
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.. autofunction:: onnx.npx.npx_types.Float32
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.. autofunction:: onnx.npx.npx_types.Float64
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.. autofunction:: onnx.npx.npx_types.Int8
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.. autofunction:: onnx.npx.npx_types.Int16
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.. autofunction:: onnx.npx.npx_types.Int32
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.. autofunction:: onnx.npx.npx_types.Int64
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.. autofunction:: onnx.npx.npx_types.UInt8
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.. autofunction:: onnx.npx.npx_types.UInt16
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.. autofunction:: onnx.npx.npx_types.UInt32
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.. autofunction:: onnx.npx.npx_types.UInt64

‎_doc/conf.py

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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import os
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import sys
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sys.path.insert(
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0,
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os.path.abspath(
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os.path.join(
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os.path.dirname(__file__),
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'..')))
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from td3a_cpp_deep import __version__ # noqa
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extensions = [
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'sphinx.ext.autodoc',
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'sphinx.ext.intersphinx',
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'sphinx.ext.todo',
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'sphinx.ext.coverage',
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'sphinx.ext.mathjax',
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'sphinx.ext.ifconfig',
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'sphinx.ext.viewcode',
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'sphinx.ext.githubpages',
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'sphinx_gallery.gen_gallery',
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'alabaster',
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'matplotlib.sphinxext.plot_directive',
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'pyquickhelper.sphinxext.sphinx_runpython_extension',
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'pyquickhelper.sphinxext.sphinx_epkg_extension',
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]
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templates_path = ['_templates']
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html_logo = '_static/logo.png'
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source_suffix = '.rst'
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master_doc = 'index'
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project = 'onnx-array-api'
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copyright = '2023, Xavier Dupré'
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author = 'Xavier Dupré'
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version = __version__
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release = __version__
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language = 'en'
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exclude_patterns = []
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pygments_style = 'sphinx'
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todo_include_todos = True
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html_theme = "furo"
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html_theme_path = [alabaster.get_path()]
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html_theme_options = {}
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html_static_path = ['_static']
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intersphinx_mapping = {
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"onnx": ("https://onnx.ai/onnx/", None),
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"matplotlib": ("https://matplotlib.org/", None),
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"numpy": ("https://numpy.org/doc/stable", None),
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"pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None),
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"python": (f"https://docs.python.org/{sys.version_info.major}", None),
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"scipy": ("https://docs.scipy.org/doc/scipy/reference", None),
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"torch": ("https://pytorch.org/docs/stable/", None),
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}
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sphinx_gallery_conf = {
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# path to your examples scripts
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'examples_dirs': os.path.join(os.path.dirname(__file__), 'examples'),
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# path where to save gallery generated examples
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'gallery_dirs': 'auto_examples'
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}
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epkg_dictionary = {
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'JIT': 'https://en.wikipedia.org/wiki/Just-in-time_compilation',
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'onnx': 'https://onnx.ai/onnx/',
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'ONNX': 'https://onnx.ai/',
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'onnxruntime': 'https://onnxruntime.ai/',
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'numpy': 'https://numpy.org/',
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'numba': 'https://numba.pydata.org/',
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'python': 'https://www.python.org/',
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'scikit-learn': 'https://scikit-learn.org/stable/',
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'sphinx-gallery': 'https://github.com/sphinx-gallery/sphinx-gallery',
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'torch': 'https://pytorch.org/docs/stable/torch.html',
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}

‎_doc/examples/README.txt

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Example gallery
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===============
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A couple of examples to illustrate different implementation
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of dot product (see also :epkg:`sphinx-gallery`).
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