Wheelodex » Projects » ds-methods

ds-methods

View on PyPI — Reverse Dependencies (0)

0.22 ds_methods-0.22-py2.py3-none-any.whl

Wheel Details

Project: ds-methods
Version: 0.22
Filename: ds_methods-0.22-py2.py3-none-any.whl
Download: [link]
Size: 78372
MD5: 7853d65ab8efda6522d6bb3845662d88
SHA256: 6547fc5567adb640ef72c01f2c590bbca6781c325c073206a228443fccdb704a
Uploaded: 2021-01-21 06:56:18 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ds-methods
Version: 0.22
Summary: Pipelines architecture for common data science methods and time series analysis
Author: Victor Novosad
Author-Email: v.novosad[at]ivpa.ru
Home-Page: https://github.com/NovosadVictor/ds_methods
License: MIT
Keywords: data-science analysis methods
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: schema (==0.7.2)
Requires-Dist: python-dateutil
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: dtw-python
Requires-Dist: hmmlearn
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
[Description omitted; length: 83 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
ds_methods/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/common/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/common/constants.py sha256=XWiUfxISRz72CttoaHUQRolyz6v4Ie46q8KsV02vWYk 25
ds_methods/common/decorators.py sha256=audj9SAp4p-LLumOiyA0Hn6wGvMJ7FR5r_lEAe_5TZg 536
ds_methods/common/df.py sha256=AijBh1S07hoK8dbyJXWOy3cvWK6_73Trol448ZUwT2M 3344
ds_methods/common/enums.py sha256=JjoNRrvOvllygwE4i1anxRBI2VckNvijon5opiEl4Pg 379
ds_methods/common/types.py sha256=6MXORPVPXoowP8eWWJsDWx7HE2pS4TEk-LUDdmAYK-8 313
ds_methods/common/utils.py sha256=aJXvCyhVUlzEN-vGB7-MlmuIwYQbc6_bm-YXkpLtuuU 369
ds_methods/common/validators.py sha256=6ger3_nHPRBA1Q38DUx4uhJTe0SM7g0TFqH2vhP5UN4 542
ds_methods/methods/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/base.py sha256=HRX6xjDqaW74P4vNs5gr1TIefkh0_7vfgGVlalUsqgI 1312
ds_methods/methods/pipeline.py sha256=vy4vcmJfbf-JLjilrHz6puV_aE8cC9lqsnXTm7DQUGw 1524
ds_methods/methods/analysis/__init__.py sha256=2FXt_aqXLqMN0QnJKHB572CaSeftoNhnGUxjUQ4PotA 382
ds_methods/methods/analysis/box_plot/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/box_plot/box_plot.py sha256=5LExk3VUDNujzWkTjfEqrZU4rDp6jf_HZFDwwaGSeVg 1626
ds_methods/methods/analysis/box_plot/schemas.py sha256=s_OkcH399fZaZVf0tKGMnNTiFxJgoWMDvbSggrhrC_U 268
ds_methods/methods/analysis/classification/__init__.py sha256=swsKAJJ8YWQJhw5-lCpMMpTPxgnPnjlNv4F_3HavLZs 79
ds_methods/methods/analysis/classification/random_forest/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/classification/random_forest/random_forest.py sha256=Awkk6DvX5mcfWghCy94RWdvMZgQRtvhACNbwxoVf8_k 1171
ds_methods/methods/analysis/classification/random_forest/schemas.py sha256=S0sn9obAHJWgYSfwU1AmKx2v5orA7iZV5-y-dLtVTlc 91
ds_methods/methods/analysis/classification/svm/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/classification/svm/schemas.py sha256=S0sn9obAHJWgYSfwU1AmKx2v5orA7iZV5-y-dLtVTlc 91
ds_methods/methods/analysis/classification/svm/svm.py sha256=QUdjiuygTmGuBcyoFAdLBZ5xJLHEr3HsB0cLZN0Fx1o 1116
ds_methods/methods/analysis/clustering/__init__.py sha256=d85rSLJlPwN0jC0BMRkL7Z6OKiA6LBn8ukTy4z46U60 36
ds_methods/methods/analysis/clustering/k_means/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/clustering/k_means/k_means.py sha256=Z5GMYJC0qkX_hJSowXdJOXDg_D8jKdSMHJmWqmGYHyA 987
ds_methods/methods/analysis/clustering/k_means/schemas.py sha256=AOlMYoktcYJlV6KQ-I0XcqRcT1J0g3Ng3exCjRgvlsM 134
ds_methods/methods/analysis/hmm/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/hmm/hmm.py sha256=INw0JpjvkpU3Nz69PClLRiddoHPB-NV6oIjaC31JRbU 1160
ds_methods/methods/analysis/hmm/schemas.py sha256=sug9k_5GOOU7tThjdcEkxdix9kdKu3BUZbdQJIw8VUU 136
ds_methods/methods/analysis/ks_test/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/ks_test/ks_test.py sha256=XcIENok5mo8kmtKuDVyO7lKFefq1erMy0PQp0142m2w 1171
ds_methods/methods/analysis/ks_test/schemas.py sha256=C_SsaUehjnmSvdnkGs7cIFYG-jNIxBMp_ccSYuz_M4w 112
ds_methods/methods/analysis/linear_regression/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/linear_regression/linear_regression.py sha256=TNVWhty0jwuF4CpRRIFmhagjzwHCd548HenQ-RWrnYk 1180
ds_methods/methods/analysis/linear_regression/schemas.py sha256=DTQbuiRykHzURWDzW65twZxYpi8TIT0dOlhei28c9Y0 127
ds_methods/methods/analysis/pca/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/pca/pca.py sha256=txQpxt0L32FyunbnEX6HK7sWgtzXnGSl476lpa50VFk 1370
ds_methods/methods/analysis/pca/schemas.py sha256=sug9k_5GOOU7tThjdcEkxdix9kdKu3BUZbdQJIw8VUU 136
ds_methods/methods/analysis/time_warping/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/time_warping/schemas.py sha256=0mrWKl-YR1aN-dt7wizEtVseLqRyk0oetVhUrUNWGRo 322
ds_methods/methods/analysis/time_warping/time_warping.py sha256=BMRVQ8G0_cIWNfxoQ22CuixyfOjWmW4MNcvlEEevJOk 1634
ds_methods/methods/analysis/truncated_svd/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/analysis/truncated_svd/schemas.py sha256=sug9k_5GOOU7tThjdcEkxdix9kdKu3BUZbdQJIw8VUU 136
ds_methods/methods/analysis/truncated_svd/truncated_svd.py sha256=g92-H-dZGuvnBSTEBGomkrM8zK5nftEEZkJ_ZcbJHAE 1370
ds_methods/methods/custom/__init__.py sha256=oBeIWRpOObU1UmvQXad3UV8rTwKH9MIV7AagM03taDI 331
ds_methods/methods/custom/average_day/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/custom/average_day/average_day.py sha256=ERKvZY6fEwBWSv-wMDhGff3uc1lYTrFAM6zpO8zhDK0 1695
ds_methods/methods/custom/average_day/schemas.py sha256=S0sn9obAHJWgYSfwU1AmKx2v5orA7iZV5-y-dLtVTlc 91
ds_methods/methods/custom/concatenate/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/custom/concatenate/concatenate.py sha256=XtHzkroEt48br18Tl1EKvNrji2bPBEf_-b3LwLwefW4 1333
ds_methods/methods/custom/concatenate/schemas.py sha256=EMH_8EaFCCMV8lotP4d7X-UIEEIHy4gP8ra-8wxLUhw 168
ds_methods/methods/custom/full_time_warping/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/custom/full_time_warping/full_time_warping.py sha256=l02-RLa0InEHyJ52ZU5TzlHMA4tRQ_Oa1sRPiYz6Mbs 1389
ds_methods/methods/custom/full_time_warping/schemas.py sha256=iN8V83A5LUWkJIJtj6_8aPDJL8uh63uajq12UUD3um8 116
ds_methods/methods/custom/ks_test_on_average_day/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/custom/ks_test_on_average_day/ks_test_on_average_day.py sha256=jqsSPKtxhn7-uHyh4AZC4BAJb1D7Gr168RqagcPY8sM 2681
ds_methods/methods/custom/ks_test_on_average_day/schemas.py sha256=VCjkKZQRYwiHRHCGe6ITHln0_LNn3MqCfFtEyAxsM4U 161
ds_methods/methods/custom/time_warping_on_regression/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/custom/time_warping_on_regression/schemas.py sha256=VCjkKZQRYwiHRHCGe6ITHln0_LNn3MqCfFtEyAxsM4U 161
ds_methods/methods/custom/time_warping_on_regression/time_warping_on_regression.py sha256=axtkozCghGALQrKcm0iUF_23sFU-2xkuLiQXb3ByUFg 3162
ds_methods/methods/filters/__init__.py sha256=87BO2ENZuh8JY0hCZ9upJpH7pw1-fzAs2loDWv0rCL4 308
ds_methods/methods/filters/by_date/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/filters/by_date/by_date.py sha256=2o7qu8hs6lZZ0gVitt79Rrvz6066YHboggS5e9gGzYI 1062
ds_methods/methods/filters/by_date/schemas.py sha256=nqQwT-RxYxxGS6_vmtOgBY4_dqTXE8l6m8JUkgxtgf4 431
ds_methods/methods/filters/by_day_numbers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/filters/by_day_numbers/by_day_numbers.py sha256=fGpjP5P9bgUFgzI_jnLZA0aBhKKExYUMZmI9CshWubw 961
ds_methods/methods/filters/by_day_numbers/schemas.py sha256=szGlMNwxH-hg2r4LQIkbumiFlq8rTD-Rxk-G5PNehqw 223
ds_methods/methods/filters/by_day_time/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/filters/by_day_time/by_day_time.py sha256=Dm2xVHTdi7amQ92n45f4wZGbZ1XkSZZUM31USHstSyQ 1170
ds_methods/methods/filters/by_day_time/schemas.py sha256=arGeWbPcMecRJmuxcA7jat_gnnuZFQrjwoJi0ODGMc8 141
ds_methods/methods/filters/by_features_values/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/filters/by_features_values/by_features_values.py sha256=WXPTXY2j0uAaJODocoSN24kRTFGPZO3115ttyVx2JEE 1282
ds_methods/methods/filters/by_features_values/schemas.py sha256=9a_MCChMT4Gr77fO_Jv79DqwSKFi7RPawRaUpWHUQpI 478
ds_methods/methods/filters/outliers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/filters/outliers/outliers.py sha256=DFIQFGcjo6opwMVvstaOoy3razkYp446_el3TqrTXGM 2717
ds_methods/methods/filters/outliers/schemas.py sha256=947JJ3TjRDtZlHJSd1lIgJXmJOOv2ZujanC4sbDU5EE 685
ds_methods/methods/groups/__init__.py sha256=_usupTfzAcZiua1M79EkzANAUp5Wpg3x5uIDEKmtRyQ 69
ds_methods/methods/groups/group/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/groups/group/group.py sha256=iM5_RSjBKStVkCgclbCFfApgLRRJKkPgTIIuqLLEP2E 1052
ds_methods/methods/groups/group/schemas.py sha256=ZcyrUuAwT_OC-UcRDtNDRljoca6Pud5_XHO-r7W8XQU 328
ds_methods/methods/groups/join/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/groups/join/join.py sha256=-e4q0eWugnMXu6mf7vTIttexnZ7zCGxd8zzVKrRtY6U 1766
ds_methods/methods/groups/join/schemas.py sha256=3sI8U166qtGiNDXAU3ZWdNwpUkfB1nfGM3aYD-rU44E 587
ds_methods/methods/preprocessing/__init__.py sha256=bJ5TtAM5NUtSUF-FUYgRBoEDegvBM6Q5rjS4RTWU-qg 404
ds_methods/methods/preprocessing/basic/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/basic/basic.py sha256=cHMxm1DY5f4HhhnY_jfqxiqYT0X2B6dRu3e-sI8tFdE 2535
ds_methods/methods/preprocessing/basic/schemas.py sha256=aqC-P5hcW1DMMaY77rAMDGbViuYX2eTZvpkbfx-dofs 399
ds_methods/methods/preprocessing/diff/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/diff/diff.py sha256=2Cu4htWRn9AuOq0_BElZfk6HOz8-OSA0NKK6xIOyqE4 621
ds_methods/methods/preprocessing/diff/schemas.py sha256=nq0uDqhxD56TWWnHJUFQM4buMLdwbzwCUB9HlB0qmsM 164
ds_methods/methods/preprocessing/entity/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/entity/entity.py sha256=iTQIyZQon7hTLSbdY_I5gX7i1xbJKWWhFlLTgJJpuP8 381
ds_methods/methods/preprocessing/entity/schemas.py sha256=S0sn9obAHJWgYSfwU1AmKx2v5orA7iZV5-y-dLtVTlc 91
ds_methods/methods/preprocessing/moving_average/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/moving_average/moving_average.py sha256=M2m3MOt36y-ZuwpaRLwM2sLRo94q7_pABnXQfftn8sQ 1323
ds_methods/methods/preprocessing/moving_average/schemas.py sha256=x4hPDzdX1fP5_phnztjp34VVNk37j6r_x3Vrl-F7DvU 243
ds_methods/methods/preprocessing/normalisation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/normalisation/normalisation.py sha256=1NwQYkt2J7KPIAbfhVBnPXMEqzYATo4scoqnBq3E9Ms 1526
ds_methods/methods/preprocessing/normalisation/schemas.py sha256=fH8SlYbSBBXBMT1pCud8wGVgT96v6gA1hOytTd5y17c 302
ds_methods/methods/preprocessing/resampling/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/resampling/resampling.py sha256=70vvDkeRnws4D71okEscfvX7jepbR2oNlIRZH7pnNE0 1177
ds_methods/methods/preprocessing/resampling/schemas.py sha256=H5HfJtnDAB340w6ev59krq4Qy0ToZpKRJ1N49SdNn1Q 147
ds_methods/methods/preprocessing/seasonal_decomposition/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/seasonal_decomposition/schemas.py sha256=fpx_BzJwcEvFusKWdWObIzRiiZyFtUBwZoy9Zge6lKQ 214
ds_methods/methods/preprocessing/seasonal_decomposition/seasonal_decomposition.py sha256=i8A42np4hvJqHXvvPhAsCPk7iSe6h8qWSsuYAl7YW8Y 1295
ds_methods/methods/preprocessing/selector/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/methods/preprocessing/selector/schemas.py sha256=RF77zHjfpeS4tO-q5bHDZYU2eDoMRRDGBg-yiGc533U 232
ds_methods/methods/preprocessing/selector/selector.py sha256=y82fHdEKLGU-RQGZcOYc5Fasq26MJ9WrIaBd5sKKChQ 840
ds_methods/templates/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/templates/hmm.py sha256=e9KSZccxHzgSxHWghV6WO_-vhKCoKkuGVYt_785HvC4 1873
ds_methods/templates/init_data.py sha256=FbcwJq5TnbtGzaF3ymtVrzloYMV4VV_egP3x08O-w4c 4780
ds_methods/templates/k_means.py sha256=QDbBbEm5uZt448AGhi7NofaVVFdC2eEG5XiEdmTZYPU 3474
ds_methods/templates/ks_test.py sha256=e1YVmWLRb7a2COecCUfLDOlIqTHa5nD1vEdz53gSClI 3187
ds_methods/templates/pca.py sha256=pef5pdWggBvEG0l3Bxsw6cMogXkQtP32MAKSd-Bjrho 3128
ds_methods/templates/random_forest.py sha256=eYB_uVAYGhspqlB5G0s7rNccRP5_Qf8RAB_eJ1AAEis 1558
ds_methods/templates/seasonal_decomposition.py sha256=35PBWH6O55lG48Yn18K0VzYzbg6S77SRJ9_YPNksVxI 1428
ds_methods/templates/svm.py sha256=CBPPluYorOaLg1Djug8PAvKGCBVMAan1sKGLi2dwX30 1522
ds_methods/templates/time_warping.py sha256=qEQf49_tZnZoZtDD3IgRzBNb6daD0uwCkU6Q8t8Q9VY 5124
ds_methods/templates/analysis/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/templates/analysis/arima_analysis.py sha256=0yA5H5st7djkY_dYkQVDoHcurMh8uV9BgZEhjHLQMpA 3960
ds_methods/templates/analysis/average_day.py sha256=nNMXbgw6cYwH3LmOlh_Z1tpngfwOE__t3OFbCgLNw-A 1610
ds_methods/templates/analysis/change-point-detection.py sha256=UOREy8aNHmsEeMWEI66lUjQ60OVNMOb4dTmiDKfzR18 2844
ds_methods/templates/analysis/fft.py sha256=ceDxtN5YMpHNv50NAiUsHCiSuQtyfDLq8A3zwZEoDYI 4954
ds_methods/templates/analysis/ks_test_on_average_day.py sha256=NLbee8M8y9grpAHzqLne3UyTubhvY9pd70RrID9bhpY 2416
ds_methods/templates/analysis/pca.py sha256=0J87P0IY8arzI1-eL5X4k-LkoAWHbuI1vrYesbstbro 2403
ds_methods/templates/analysis/polyfit_distance_analysis.py sha256=ngAsVzkKyXd1-pwE4FnvqFeqFrXWfN3m3nOk3JYoUmg 4595
ds_methods/templates/analysis/polyfit_seasonality_analysis.py sha256=283EkcfNBYlF8jbIAunEAIDKkOxOmnVT0LXBvqUU2rY 5200
ds_methods/templates/analysis/sd_for_seasonality.py sha256=C48Bbedt0U-hYApjKmIgZYzVme6vnM5yArh0zGKBjJ4 2960
ds_methods/templates/analysis/time_in_position.py sha256=k0acIsT4E1gtvpN4TZXg5RZfvBIt706MipZPJUMoL4k 2592
ds_methods/templates/analysis/tw_on_regression.py sha256=8RdOXY9JegRNaB9Dl1jLdT2L6TdtaG5aU0XfN7a_0vw 2102
ds_methods/templates/analysis/tw_on_regression_wo_trend.py sha256=0QN9NHucdMbitJwdHo2rwFKJRwX4VFWE6q4KiZbkU-Q 1821
ds_methods/templates/analysis/polyfit/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ds_methods/templates/analysis/polyfit/consts.py sha256=R3Gu199SBEOK8JCA_dWMBSe8VIJ9Sq-vJMPPaIeTF3c 507
ds_methods/templates/analysis/polyfit/polyfit_daily_analysis.py sha256=qOxfo1RXVbkbCN0UQZHSs7-cnSfmNImRg2sz0NG7NAw 8464
ds_methods/templates/analysis/polyfit/polyfit_fft.py sha256=b9-eJa8Sw9vVZ8vv3SerjPvJqMIiwZTnVaN7rqLYBik 5609
ds_methods/templates/analysis/polyfit/polynomial_dataframe.py sha256=FZf4K3CDmYicIwzb5m0ZplLAADUPvLkJEvrkH9JK164 1339
ds_methods/templates/analysis/polyfit/utils.py sha256=ZcG5yOiItNr_HrOw5lMbiFHro9FRvISE9bTdeeoBwDQ 4743
ds_methods-0.22.dist-info/LICENSE sha256=7EI8xVBu6h_7_JlVw-yPhhOZlpY9hP8wal7kHtqKT_E 1074
ds_methods-0.22.dist-info/METADATA sha256=RHmwmXkLBkbFZeGJ0Ym5ky1LVoDjZ9vVhc9tkPUuA90 806
ds_methods-0.22.dist-info/WHEEL sha256=Z-nyYpwrcSqxfdux5Mbn_DQ525iP7J2DG3JgGvOYyTQ 110
ds_methods-0.22.dist-info/top_level.txt sha256=bg8Ttqej__PsNt-1iOC33smjjP7F0_BkwCVuK7bNSFk 11
ds_methods-0.22.dist-info/RECORD — —

top_level.txt

ds_methods