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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-cp310-cp310-win_amd64.whl
Download:	[link]
Size:	1030210
MD5:	`5be336ed2d1c4a24651b3f6531309954`
SHA256:	`838f3e46a840939023fc476d28605178d8bc24b6264465a0bfd45e5ddcfd808b`
Uploaded:	2024-11-14 21:18:10 +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:	cp310-cp310-win_amd64

RECORD

Path	Digest	Size
pytesmo/__init__.py	sha256=Llws9P4lOgvsaJyXPJRV9odbiKsogZ4xkK-5EFDRZUo	852
pytesmo/cdf_matching.py	sha256=iLcyDkpPm7Wqxo3nYPAH8GOiWlGSZy-v-rpGecZzfRk	11825
pytesmo/df_metrics.py	sha256=_i0XXcbDrI63iK9YKdlcpNJURP4brfYTadlyeoZ-EDU	20003
pytesmo/scaling.py	sha256=hEYTIYCvtsEsT5sx3ig6sfQFDv4qkX1xnSr8-yRbm64	9621
pytesmo/temporal_matching.py	sha256=D6D9SHgDsFTgB6ljzV5dOA38ftra88iQYA6JQzBUsNI	21879
pytesmo/utils.py	sha256=yYIz6UIy325xACZkOVMePsNnbrKd3enM1L94Yz_3IVc	6158
pytesmo/colormaps/SWI_ASCAT.cmap	sha256=1SJ31kWbWjElN4XAcHD7rFdRM6R3LMqPsB3cClkhhjc	547
pytesmo/colormaps/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/colormaps/load_cmap.py	sha256=6M_MuiRBxiVEyK7DsDFT9434vMF4TnO1vGuK6R66NEk	2874
pytesmo/grid/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/grid/resample.py	sha256=6YgHOZvrvTb43BOnnF1FzAbNynrHSXsNrkNcs-74OpU	1979
pytesmo/metrics/__init__.py	sha256=ODV_eLKK9P7msMdHrBoJjmSxWev60D-KY1ghxbGGsHg	3018
pytesmo/metrics/_fast.c	sha256=FyQdIkVTgRpRh24Kd1M9QxOcdXtyV-xGtwiK45XD5G8	1283981
pytesmo/metrics/_fast.cp310-win_amd64.pyd	sha256=p8s8_0pmK7ip5UMaJYqSImW4gBWlGBDf9lFLH2T7rhA	182272
pytesmo/metrics/_fast.pyx	sha256=lH_utlSRh7PLkr0IlUo46bP5Jwl88vABZ_-84zuxhMY	1688
pytesmo/metrics/_fast_pairwise.c	sha256=gMGTJ8sTbe7REhn0cZPg3NPa0VPD8vbK7Ym6p2vBxbc	2214662
pytesmo/metrics/_fast_pairwise.cp310-win_amd64.pyd	sha256=QyqfyUEhV-lXtA7erFG2AhMF7pt072HP-Csrm5e-kyw	400896
pytesmo/metrics/_fast_pairwise.pyx	sha256=WfHSQjGpbw_EhRazv0MjLNA0nCXW3E2R2GIFbW4Cf_8	14445
pytesmo/metrics/confidence_intervals.py	sha256=Qj1LasdBWz4wazCCTSrK8pYkUStNT0_fhgcawp2lJ5I	13100
pytesmo/metrics/deprecated.py	sha256=WMlczlqgKXyXO8e6Joz_uX41RJceVuaFSnyKtXCFBQM	15638
pytesmo/metrics/pairwise.py	sha256=AFOEwMLFIRg2tGsGfr5iCg-OqdnmH-HoSjwcOg63-qA	13826
pytesmo/metrics/tcol.py	sha256=hm_3_k8m8LqinjXT9XBpZeVtsWCnGHS-Noh9HUrU_Yc	13360
pytesmo/time_series/__init__.py	sha256=0YxSPZ1JOBwQAB2KfFsO2_Equrqvs4objAmX7yAkN8E	59
pytesmo/time_series/anomaly.py	sha256=S8kRsZj6ARfvj31W3bUbCBguWTRM3NzaeNz_sCC6R7Q	10862
pytesmo/time_series/filtering.py	sha256=D3LZEdw3ObNvgNagDnPT-iUPpQXkcrTGBozBGXuyGlI	3494
pytesmo/time_series/filters.c	sha256=7hAYy0Lew1kxzr6faZXrWL2-XvEnNJSc-xVCvLFK9HA	1414078
pytesmo/time_series/filters.cp310-win_amd64.pyd	sha256=dOEl1qAOSjHJfkiGCFrHIkIIjLyQtZa0rb9RPDcaP3k	198144
pytesmo/time_series/filters.pyx	sha256=78fuaLGWlkejO5kuzNjlodLXf4z8mxcjp_DuCF8UnsQ	6186
pytesmo/time_series/grouping.py	sha256=X61UXVuQa8iy6zn5ixa2OUw79rOZdmHSvpBSP9SZ90U	14384
pytesmo/timedate/__init__.py	sha256=xScs8z0pUSvJmYG0naocI1_4mtKfnPL6nWpAMPBILIM	22
pytesmo/timedate/dekad.py	sha256=RSqJCRrnfTr0IBF1RT_1P0V4eb2InOy-Sg2jxmz1i84	269
pytesmo/timedate/julian.py	sha256=uOQOP5NzMWWJS795zUIGBshC1ZnCjDI6OYAhhy0yZeQ	2131
pytesmo/validation_framework/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
pytesmo/validation_framework/adapters.py	sha256=Z_lzI7vOD7PsZGxHHmNoaLY21zWp0f-M6pvidziIRsM	30491
pytesmo/validation_framework/data_manager.py	sha256=_MUSIPR1VD4qvTul5iiYXdnVdlM4hSyywJfQ7hfmlNw	16043
pytesmo/validation_framework/data_scalers.py	sha256=P39-OJkVbbSqbO4pnCGd56YAgXSSwSvhyaQtmDY1zxM	9017
pytesmo/validation_framework/error_handling.py	sha256=nIRX-bMs523Pm0tx2r3VfXvuwoA9F4Y9MRyvHYRQVaw	2124
pytesmo/validation_framework/metric_calculators.py	sha256=6sAovE1vmLEksCauOAMIjoxjSmcwNsv8GoigRwMbnB8	65520
pytesmo/validation_framework/metric_calculators_adapters.py	sha256=d_RfQp-MValFIx3VNyeuhmA5YwuW1SBdKVbaHVJKV-0	8773
pytesmo/validation_framework/results_manager.py	sha256=eUHIELBKyBdNEUpofqOs5QkZe2_kAOrs2ra2OsX2ruE	15368
pytesmo/validation_framework/start_validation.py	sha256=KXg5RWoVJldPo2lTjYstarlAVQ-VBP8j8pXIVeuMqTo	2124
pytesmo/validation_framework/temporal_matchers.py	sha256=1RMNlitM8DMcrtTxm5WjwQA5C1cA7kFqE34hnwlogYo	8013
pytesmo/validation_framework/upscaling.py	sha256=q3FWMpZ-5wJYExeLu1MHuJsg4RSlnRF5RnSKLeVXJDk	13335
pytesmo/validation_framework/validation.py	sha256=wcW1B9S-7wg4E2wfoOZ979MHChE__NMhtOu-hYeyiT0	31780
pytesmo-0.17.0.dist-info/AUTHORS.rst	sha256=VVudC1m7xgnKaNfRjXqGzs7vWpxX4XvY7OFfMrRL7Zw	320
pytesmo-0.17.0.dist-info/LICENSE.txt	sha256=OdXLsY02h4WChqFnt4wItV-lIOPUXpfDJnXqgQ6bogY	1695
pytesmo-0.17.0.dist-info/METADATA	sha256=N3GvgXuHecQltBf1fIDmPN4H0MD1Eb_mP2o2kKO5nv8	6740
pytesmo-0.17.0.dist-info/WHEEL	sha256=zH8lgyF2gFod6lpCM_fWcr62DERZcd3iX2BoPN2-YV0	101
pytesmo-0.17.0.dist-info/top_level.txt	sha256=QFUNFiIXmrw9Cibjspt_EjEX6S6YjQ5z9Q7KLIUDL8s	8
pytesmo-0.17.0.dist-info/RECORD	—	—

top_level.txt

pytesmo