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pytesmo

0.17.0	pytesmo-0.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	pytesmo-0.17.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	pytesmo-0.17.0-cp39-cp39-win_amd64.whl
	pytesmo-0.17.0-cp39-cp39-win32.whl
	pytesmo-0.17.0-cp39-cp39-macosx_11_0_arm64.whl
	pytesmo-0.17.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	pytesmo-0.17.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	pytesmo-0.17.0-cp312-cp312-win_amd64.whl
	pytesmo-0.17.0-cp312-cp312-win32.whl
	pytesmo-0.17.0-cp312-cp312-macosx_11_0_arm64.whl
	pytesmo-0.17.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	pytesmo-0.17.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	pytesmo-0.17.0-cp311-cp311-win_amd64.whl
	pytesmo-0.17.0-cp311-cp311-win32.whl
	pytesmo-0.17.0-cp311-cp311-macosx_11_0_arm64.whl
	pytesmo-0.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	pytesmo-0.17.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	pytesmo-0.17.0-cp310-cp310-win_amd64.whl
	pytesmo-0.17.0-cp310-cp310-win32.whl
	pytesmo-0.17.0-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project:	pytesmo
Version:	0.17.0
Filename:	pytesmo-0.17.0-cp312-cp312-macosx_11_0_arm64.whl
Download:	[link]
Size:	1042310
MD5:	`75b1f5f7bbcc0bc90fe750f549bba95d`
SHA256:	`3c55c7e7094088c111ba38940160667426a2bfca9e3f726d4ae34727867ab6be`
Uploaded:	2024-11-14 21:18:20 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	pytesmo
Version:	0.17.0
Summary:	Python Toolbox for the evaluation of soil moisture observations
Author:	TU Wien
Author-Email:	support[at]qa4sm.eu
Home-Page:	https://www.geo.tuwien.ac.at/
Project-Url:	Documentation, https://pytesmo.readthedocs.io/
License:	mit
Classifier:	Development Status :: 4 - Beta
Classifier:	Programming Language :: Python
Platform:	any
Requires-Python:	>=3.9
Requires-Dist:	numpy (>=2.0)
Requires-Dist:	numba
Requires-Dist:	scipy (>=0.12)
Requires-Dist:	pandas (>=0.23.0)
Requires-Dist:	netCDF4 (!=1.6.2,>=1.0.1)
Requires-Dist:	pygeogrids
Requires-Dist:	pygeobase (>=0.6.0)
Requires-Dist:	pynetcf (>=0.4.0)
Requires-Dist:	configparser
Requires-Dist:	pykdtree
Requires-Dist:	repurpose (>=0.13.1)
Requires-Dist:	cadati (>=0.0.2)
Requires-Dist:	Cython (>=0.29.21)
Requires-Dist:	scikit-learn
Requires-Dist:	importlib-metadata; python_version < "3.8"
Requires-Dist:	ascat (==2.4.3); extra == "testing"
Requires-Dist:	ismn (==1.5.1); extra == "testing"
Requires-Dist:	nbconvert; extra == "testing"
Requires-Dist:	ipykernel; extra == "testing"
Requires-Dist:	sphinx-rtd-theme; extra == "testing"
Requires-Dist:	matplotlib; extra == "testing"
Requires-Dist:	pytest; extra == "testing"
Requires-Dist:	pytest-cov; extra == "testing"
Requires-Dist:	pytest-mpl; extra == "testing"
Requires-Dist:	pre-commit; extra == "testing"
Requires-Dist:	flake8; extra == "testing"
Requires-Dist:	yapf; extra == "testing"
Provides-Extra:	testing
Description-Content-Type:	text/x-rst; charset=UTF-8
License-File:	LICENSE.txt
License-File:	AUTHORS.rst

[Description omitted; length: 5032 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (75.5.0)
Root-Is-Purelib:	false
Tag:	cp312-cp312-macosx_11_0_arm64

RECORD

Path	Digest	Size
pytesmo/scaling.py	sha256=x6c2FD8SrBLtKa1kpZywFmt-VLiykB6OUQCyp3vlbOk	9299
pytesmo/df_metrics.py	sha256=eKsI8nSuQwDe1dBsOCg9XWLusORtE0LMGFGmyM1XnMQ	19382
pytesmo/__init__.py	sha256=nDuU3nEntt5W7uEFdlj2nX8jl42du8R1bb5A-8_u3uc	824
pytesmo/utils.py	sha256=QTGMLButPGM6mr1BcwhFboV_lBV1ljDDgWMs8VU1fI8	5967
pytesmo/cdf_matching.py	sha256=xm9c81jaMRycR_gBz5w9C8gOW_xxH6Xn9Ez1b4gj3-I	11534
pytesmo/temporal_matching.py	sha256=rVsbd6IkRaQfLmDsFnm2wu_L9JwVwAhF9hbFPiaDwm0	21311
pytesmo/metrics/confidence_intervals.py	sha256=1YAj0eUqS8OFH2-7yKyPG3w9ZEjcMirJck3JyfF1o1E	12732
pytesmo/metrics/_fast.c	sha256=MPwhAZq7T42SvpM5-TzAMHjCThyB3xNsowHdmo1UZXk	1250890
pytesmo/metrics/deprecated.py	sha256=SrPLqm4wySqy6aLuXNG4gCsXXy5maUOUeaEOqZlfMBQ	15131
pytesmo/metrics/__init__.py	sha256=AI0w-7-y2WGE9jJPjRPHW0udK5V8GR6DILR5d2nxSgk	2881
pytesmo/metrics/_fast_pairwise.cpython-312-darwin.so	sha256=mj-F1g7WQZTaRqktHaBJZ7DsAqwU4eyabbtN4bN9EQI	482680
pytesmo/metrics/_fast_pairwise.pyx	sha256=TQ88l-478QTeAnZV0aCOh6fGzNupQqIOHSyb_PLZ_rU	13956
pytesmo/metrics/_fast_pairwise.c	sha256=-AJn5carDMtOADoquvRSvf2YxEZPN8BVYrtzXyDO-VQ	2162064
pytesmo/metrics/pairwise.py	sha256=Nfsn-MBEV8BhGw-0KETkYN1TcVWfCwf24EdiBL25Z3c	13284
pytesmo/metrics/_fast.pyx	sha256=x09GNz2jsChdqlAFL1W5z7PYTOWcDuMCchwwsUm0VIE	1625
pytesmo/metrics/_fast.cpython-312-darwin.so	sha256=JXA_S9YQkxk_czupzUXz5f8DERIceHGL3517UDRug8s	242248
pytesmo/metrics/tcol.py	sha256=-YootnycjrcYiSzd2FpOgDtXqLXaiTMc4JJxNaacCJk	12969
pytesmo/timedate/__init__.py	sha256=NTZmSP2jOhE8Q1IaZjfzmQDuablYfGlzjtT5dpY2rXQ	21
pytesmo/timedate/julian.py	sha256=WlMM68KgBRzEKAcKMNbqS5UfzRZMInwtYG42yAdMvJs	2049
pytesmo/timedate/dekad.py	sha256=tl5MlMJ88VGTXg5OqWT8Q6-Hinq_YJKBLl6npiMWdaw	262
pytesmo/validation_framework/upscaling.py	sha256=a39lEeOAeSxLOceGd4FEiu_zKCG3WpDDW9QzfNaaX-8	12934
pytesmo/validation_framework/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/validation_framework/data_scalers.py	sha256=fye7GJWXugjTkahqtKEe5F8YqabjXlf5iaVnAeo1CE8	8760
pytesmo/validation_framework/results_manager.py	sha256=_giZXz3gaexix-PxgkJ_15WWHk6uyE_MeP7yd4YWIZ4	14921
pytesmo/validation_framework/error_handling.py	sha256=eCe8jVOlcedo-3of1q47TfiXvha_h2ywjNBPR6lyroc	2057
pytesmo/validation_framework/start_validation.py	sha256=Rph9Qhrq_qeIkAOutBzRsKQz1CZoBEXD8_IoZdyDXwk	2050
pytesmo/validation_framework/temporal_matchers.py	sha256=1-TqJxon9ubXrQD8dyH8OV63ETfqNcWTq6ZWgyWOiQs	7789
pytesmo/validation_framework/metric_calculators.py	sha256=7VHbX_xEpIhc3HyWpZFyf7qYwUAudENlZzAtVEnLPt4	63707
pytesmo/validation_framework/data_manager.py	sha256=9_IoHj_qrTUr2xJBHaW4ps0JTIi_V9jHMobVnthPy-I	15589
pytesmo/validation_framework/metric_calculators_adapters.py	sha256=iQNHTPJHAKtq0euii1LmcUfFiPdB4zBMcRtoPsldJMo	8570
pytesmo/validation_framework/adapters.py	sha256=M2EPEPaXxYgZbosQ1xgG_2P6ego5o1DC2gPk7eCnBHg	29782
pytesmo/validation_framework/validation.py	sha256=zzTX5207bimSPNsSbjh1kCulNAUgSiRcbYu3zgs7rnE	30987
pytesmo/time_series/filters.pyx	sha256=YExd8vlnE8jdYj0rVuzyreOM0ka3G99nqLR2PcE3fSE	6010
pytesmo/time_series/grouping.py	sha256=17_6_P95KHJAO11-yZUqS3V6R-4yWDp6_b8szIgPkqU	13987
pytesmo/time_series/filtering.py	sha256=ilIR8T3GvMWD8Bp1bzUF7epA8Z-X3AO3RBfFWD6B8pQ	3409
pytesmo/time_series/__init__.py	sha256=eL5XnouV39g9g6anhAG1KtsLvlz2a2bGn3BZVFC84HE	58
pytesmo/time_series/filters.c	sha256=Stx8cfoWC6eh593qh4xwh7FWcsJcWTwgpLlTGprdlZQ	1378010
pytesmo/time_series/filters.cpython-312-darwin.so	sha256=XFUeyEWELp5Ax-IcDj_wuMBqekvsG-TsaU65iG3o8AA	259904
pytesmo/time_series/anomaly.py	sha256=CxDuvV3cPi2PA5Cl5SbjrZzH9B5AyHOZi819OD1N-hM	10578
pytesmo/grid/resample.py	sha256=Zpr14YJleMaDTToqfoKRCvmkZlWXH29yIwgOZrb7WRY	1948
pytesmo/grid/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/colormaps/load_cmap.py	sha256=JBmv7rCIK0kjvkZuq8Q1_TKExCPUDDEz00koGTzfY_Q	2791
pytesmo/colormaps/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/colormaps/SWI_ASCAT.cmap	sha256=1SJ31kWbWjElN4XAcHD7rFdRM6R3LMqPsB3cClkhhjc	547
pytesmo-0.17.0.dist-info/RECORD	—	—
pytesmo-0.17.0.dist-info/WHEEL	sha256=tdSrwMtZcLfHvxdPcoi6tWwNkYfUEQUdNl6Dqrrc2TY	109
pytesmo-0.17.0.dist-info/AUTHORS.rst	sha256=JraIsuEUXfPkpKv6d9xX0jkoFTkwQhW6ZHFd2jJ65SQ	311
pytesmo-0.17.0.dist-info/top_level.txt	sha256=QFUNFiIXmrw9Cibjspt_EjEX6S6YjQ5z9Q7KLIUDL8s	8
pytesmo-0.17.0.dist-info/LICENSE.txt	sha256=kNrjyVNIXaTlTZ5DoXjAwp06S-Y8rUvYhtaglG_D45M	1669
pytesmo-0.17.0.dist-info/METADATA	sha256=JYhLolck13FvtBNeqzd0zIq-0F29GdiiTCmseHWCLmU	6576

top_level.txt

pytesmo