scipy
/
environment.yml
62 строки · 1.4 Кб
1# Please refer to https://scipy.github.io/devdocs/building/index.html
2# To use:
3# $ conda env create -f environment.yml # `mamba` works too for this command
4# $ conda activate scipy-dev
5#
6name: scipy-dev
7channels:
8- conda-forge
9dependencies:
10- python
11- cython>=3.0.8
12- compilers # Currently unavailable for Windows. Comment out this line and download Rtools and add <path>\ucrt64\bin\ to your path: https://cran.r-project.org/bin/windows/Rtools/rtools40.html
13- meson
14- meson-python
15- ninja
16- numpy
17- openblas
18- pkg-config
19- libblas=*=*openblas # helps avoid pulling in MKL
20- pybind11
21# scipy.datasets dependency
22- pooch
23# ---
24- pythran
25# For testing and benchmarking
26- pytest
27- pytest-cov
28- pytest-xdist
29- pytest-timeout
30- asv >=0.6
31- hypothesis
32- array-api-strict
33# For type annotations
34- mypy
35- typing_extensions
36- types-psutil
37# For building docs
38- sphinx<8.0.0
39- intersphinx-registry
40- numpydoc
41- ipython
42- setuptools<67.3 # avoid pkg_resources deprecation warnings from MPL/scikit-umfpack
43- matplotlib
44- pydata-sphinx-theme>=0.15.2
45- sphinx-copybutton
46- sphinx-design
47- jupytext
48- myst-nb
49- jupyterlite-sphinx>=0.16.5
50- jupyterlite-pyodide-kernel
51# Some optional test dependencies
52- mpmath
53- gmpy2
54- threadpoolctl
55# For CLI
56- rich-click
57- click
58- doit>=0.36.0
59- pydevtool
60# For linting
61- ruff>=0.0.292
62- cython-lint
63