1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
|
# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class PyNilearn(PythonPackage):
"""Statistical learning for neuroimaging in Python."""
homepage = "https://nilearn.github.io/"
pypi = "nilearn/nilearn-0.7.1.tar.gz"
git = "https://github.com/nilearn/nilearn"
version("0.10.1", sha256="928a364e7ed77d15d02b7f227197ea7c78f44f2fe780feb555d6d7cf9232f846")
version("0.10.0", sha256="cc7f1068e038076527ead1bd363436f88f5e8d21e8bb57b323b30b926fc7553a")
version("0.9.2", sha256="8da8d3835d92cd7b8a6cc92455a489d7e7f5994cf64fc71bce653e362773b9e4")
version("0.9.0", sha256="f9c8e30adef51489910aec7724b5699de178427d3ae63873dad9b23dd321fe76")
version("0.8.1", sha256="a0489940855130f35bbc4cac0750479a6f82025215ea7b1d778faca064219298")
version("0.8.0", sha256="f2d3dc81005f829f3a183efa6c90d698ea6818c06264d2e3f03e805c4340febb")
version("0.7.1", sha256="8b1409a5e1f0f6d1a1f02555c2f11115a2364f45f1e57bcb5fb3c9ea11f346fa")
version("0.6.2", sha256="cfc6cfda59a6f4247189f8ccf92e364de450460a15c0ec21bdb857c420dd198c")
version("0.4.2", sha256="5049363eb6da2e7c35589477dfc79bf69929ca66de2d7ed2e9dc07acf78636f4")
depends_on("python@3.7:", when="@0.10:", type=("build", "run"))
depends_on("py-hatchling", when="@0.10.1:", type="build")
depends_on("py-hatch-vcs", when="@0.10.1:", type="build")
depends_on("py-setuptools", when="@:0.10.0", type="build")
variant("plotting", default=False, description="Enable plotting functionalities")
depends_on("py-joblib@1:", when="@0.10:", type=("build", "run"))
depends_on("py-joblib@0.15:", when="@0.9.1:", type=("build", "run"))
depends_on("py-joblib@0.12:", when="@0.7:", type=("build", "run"))
depends_on("py-joblib@0.11:", when="@0.6:", type=("build", "run"))
depends_on("py-lxml", when="@0.9.1:", type=("build", "run"))
depends_on("py-nibabel@3.2:", when="@0.10:", type=("build", "run"))
depends_on("py-nibabel@3:", when="@0.9.1:", type=("build", "run"))
depends_on("py-nibabel@2.5:", when="@0.8:", type=("build", "run"))
depends_on("py-nibabel@2.0.2:", type=("build", "run"))
depends_on("py-numpy@1.19:", when="@0.10:", type=("build", "run"))
depends_on("py-numpy@1.18:", when="@0.9.1:", type=("build", "run"))
depends_on("py-numpy@1.16:", when="@0.8:", type=("build", "run"))
depends_on("py-numpy@1.11:", when="@0.5:", type=("build", "run"))
depends_on("py-numpy@1.6.1:", type=("build", "run"))
depends_on("py-pandas@1.1.5:", when="@0.10:", type=("build", "run"))
depends_on("py-pandas@1:", when="@0.9.1:", type=("build", "run"))
depends_on("py-pandas@0.24.0:", when="@0.8:", type=("build", "run"))
depends_on("py-pandas@0.18.0:", when="@0.7:", type=("build", "run"))
depends_on("py-requests@2.25:", when="@0.10:", type=("build", "run"))
depends_on("py-requests@2:", when="@0.7:", type=("build", "run"))
depends_on("py-scikit-learn@1:", when="@0.10:", type=("build", "run"))
depends_on("py-scikit-learn@0.22:", when="@0.9.1:", type=("build", "run"))
depends_on("py-scikit-learn@0.21:", when="@0.8:", type=("build", "run"))
depends_on("py-scikit-learn@0.19:", when="@0.7:", type=("build", "run"))
# sklearn.linear_model.base was deprecated in py-scikit.learn@0.24
depends_on("py-scikit-learn@0.19:0.23", when="@0.6.0:0.6", type=("build", "run"))
# older py-nilearn versions use import sklearn.external.joblib which was
# deprecated in py-scikit-learn@0.23:
depends_on("py-scikit-learn@0.15:0.22", when="@:0.5", type=("build", "run"))
depends_on("py-scipy@1.6:", when="@0.10:", type=("build", "run"))
depends_on("py-scipy@1.5:", when="@0.9.1:", type=("build", "run"))
depends_on("py-scipy@1.2:", when="@0.8:", type=("build", "run"))
depends_on("py-scipy@0.19:", when="@0.6:", type=("build", "run"))
depends_on("py-scipy@0.17:", when="@0.5:", type=("build", "run"))
depends_on("py-scipy@0.14:", type=("build", "run"))
depends_on("py-packaging", when="@0.10.1:", type=("build", "run"))
depends_on("py-matplotlib@3.3:", when="@0.10: +plotting", type=("build", "run"))
depends_on("py-matplotlib@3:", when="@0.9.1: +plotting", type=("build", "run"))
depends_on("py-matplotlib@2:", when="@0.6: +plotting", type=("build", "run"))
# older py-nilearn versions use matplotlib.cm.revcmap which was deprecated
# in py-matplotlib@3.4:
depends_on("py-matplotlib@1.5.1:3.3", when="@:0.5 +plotting", type=("build", "run"))
depends_on("py-matplotlib@1.1.1:3.3", when="@0.4.2 +plotting", type=("build", "run"))
@property
def skip_modules(self):
modules = []
if self.spec.satisfies("~plotting"):
modules.append("nilearn.plotting")
if self.spec.satisfies("@0.7:"):
modules.append("nilearn.reporting")
return modules
|
