File: C:/Users/fred/anaconda3/pkgs/pywavelets-1.7.0-py312h827c3e9_0/info/recipe/meta.yaml
# This file created by conda-build 24.7.1
# meta.yaml template originally from:
# C:\b\abs_95ujr8_xu1\clone\recipe, last modified Fri Sep 6 22:25:52 2024
# ------------------------------------------------
package:
name: pywavelets
version: 1.7.0
source:
sha256: b47250e5bb853e37db5db423bafc82847f4cde0ffdf7aebb06336a993bc174f6
url: https://pypi.io/packages/source/p/pywavelets/pywavelets-1.7.0.tar.gz
build:
number: '0'
script: C:\\b\\abs_95ujr8_xu1\\croot\\pywavelets_1725657962149\\_h_env\\python.exe
-m pip install . --no-deps --no-build-isolation --ignore-installed --no-cache-dir
-vv
string: py312h827c3e9_0
requirements:
build:
- vs2019_win-64 19.29.30154 h96f319f_5
- vswhere 2.8.4 haa95532_0
host:
- blas 1.0 mkl
- bzip2 1.0.8 h2bbff1b_6
- ca-certificates 2024.7.2 haa95532_0
- cython 3.0.10 py312h2bbff1b_0
- expat 2.6.3 h5da7b33_0
- intel-openmp 2023.1.0 h59b6b97_46320
- libffi 3.4.4 hd77b12b_1
- meson 1.3.1 py312haa95532_0
- meson-python 0.16.0 py312h827c3e9_0
- mkl 2023.1.0 h6b88ed4_46358
- mkl-service 2.4.0 py312h2bbff1b_1
- mkl_fft 1.3.10 py312h827c3e9_0
- mkl_random 1.2.7 py312h0158946_0
- ninja 1.10.2 haa95532_5
- ninja-base 1.10.2 h6d14046_5
- numpy 2.0.1 py312hfd52020_1
- numpy-base 2.0.1 py312h4dde369_1
- openssl 3.0.15 h827c3e9_0
- packaging 24.1 py312haa95532_0
- pip 24.2 py312haa95532_0
- pyproject-metadata 0.8.0 py312haa95532_0
- python 3.12.4 h14ffc60_1
- setuptools 72.1.0 py312haa95532_0
- sqlite 3.45.3 h2bbff1b_0
- tbb 2021.8.0 h59b6b97_0
- tk 8.6.14 h0416ee5_0
- tzdata 2024a h04d1e81_0
- vc 14.40 h2eaa2aa_0
- vs2015_runtime 14.40.33807 h98bb1dd_0
- wheel 0.43.0 py312haa95532_0
- xz 5.4.6 h8cc25b3_1
- zlib 1.2.13 h8cc25b3_1
run:
- numpy >=1.23,<3
- python >=3.12,<3.13.0a0
- vc >=14.2,<15.0a0
- vs2015_runtime >=14.29.30133,<15.0a0
run_constrained:
- scipy >=1.9
test:
commands:
- pip check
- python -c "import sys; import pywt; sys.exit(not pywt.test(verbose=2, label='full',
tests=['pywt'], extra_argv=['--durations=50']))"
imports:
- pywt
requires:
- pip
- pytest
about:
description: 'PyWavelets is a free Open Source library for wavelet transforms in
Python.
Wavelets are mathematical basis functions that are localized in both time and
frequency.
Wavelet transforms are time-frequency transforms employing wavelets. They are
similar to
Fourier transforms, the difference being that Fourier transforms are localized
only in
frequency instead of in time and frequency.
'
dev_url: https://github.com/PyWavelets/pywt
doc_url: https://pywavelets.readthedocs.io
home: https://github.com/PyWavelets/pywt
license: MIT
license_family: MIT
license_file:
- LICENSE
- LICENSES_bundled.txt
summary: Discrete Wavelet Transforms in Python
extra:
copy_test_source_files: true
final: true
flow_run_id: 95ce0507-9541-437d-94cf-ec65311c833f
recipe-maintainers:
- grlee77
- jakirkham
- ocefpaf
remote_url: [email protected]:AnacondaRecipes/pywavelets-feedstock.git
sha: 5fee0f03152cfc8d150a9198a9cacf1202715e55