forked from jdb78/pytorch-forecasting
/
pyproject.toml
109 lines (94 loc) · 2.51 KB
/
pyproject.toml
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
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
[tool.black]
line-length = 120
include = '\.pyi?$'
exclude = '''
(
/(
\.eggs # exclude a few common directories in the
| \.git # root of the project
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
)/
| docs/build/
| node_modules/
| venve/
| .venv/
)
'''
[tool.nbqa.mutate]
isort = 1
black = 1
[tool.poetry]
name = "pytorch_forecasting"
readme = "README.md" # Markdown files are supported
version = "0.0.0" # is being replaced automatically
authors = ["Jan Beitner"]
classifiers = [
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"License :: OSI Approved :: MIT License"]
description = "Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and models"
repository = "https://github.com/jdb78/pytorch-forecasting"
documentation = "https://pytorch-forecasting.readthedocs.io"
homepage = "https://pytorch-forecasting.readthedocs.io"
[tool.poetry.dependencies]
python = "^3.7.1"
torch = "^1.7"
pytorch-lightning = "^1.2.4"
optuna = "^2.3.0"
scipy = "*"
pandas = "^1.3.0"
scikit-learn = ">=0.24,<1.1"
matplotlib = "*"
statsmodels = "*"
pytest-github-actions-annotate-failures = {version = "*", optional = true}
[tool.poetry.dev-dependencies]
# checks and make tools
pre-commit = "^2.15.0"
invoke = "*"
flake8 = "*"
mypy = "*"
pylint = "*"
isort = "*"
# pytest
pytest = "*"
pytest-xdist = "*"
pytest-cov = "*"
pytest-sugar = "*"
coverage = "*"
pyarrow = "*"
# jupyter notebook
ipykernel = "*"
black = { version = "*", allow-prereleases = true }
# documentatation
sphinx = "*"
pydata-sphinx-theme = "*"
nbsphinx = "*"
pandoc = "*"
recommonmark = "*"
[tool.poetry.extras] # extras
github-actions = ["pytest-github-actions-annotate-failures"]
[tool.poetry-dynamic-versioning]
enable = true
vcs = "git"
dirty = false
style = "semver" # semantic versioning
[build-system] # make the package pip installable
requires = ["poetry_core>=1.1.0", "poetry-dynamic-versioning>=0.9.0"]
build-backend = "poetry.core.masonry.api"