Wheelodex » Projects » gadma

gadma

View on PyPI — Reverse Dependencies (0)

2.0.0 gadma-2.0.0-py3-none-any.whl

Wheel Details

Project: gadma
Version: 2.0.0
Filename: gadma-2.0.0-py3-none-any.whl
Download: [link]
Size: 225054
MD5: 7618d018616e60a4825dcb12eae0bebd
SHA256: a161124203c1788aa91dccb6458aaf6684f1a4a73b4f2953f7bb01adab691a63
Uploaded: 2023-09-23 11:54:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: gadma
Version: 2.0.0
Summary: Genetic Algorithm for Demographic Inference
Author: Ekaterina Noskova
Author-Email: ekaterina.e.noskova[at]gmail.com
Home-Page: https://github.com/ctlab/GADMA
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: Pillow
Requires-Dist: Cython
Requires-Dist: mpmath
Requires-Dist: nlopt
Requires-Dist: ruamel.yaml
Requires-Dist: dadi
Requires-Dist: scikit-allel
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4420 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
gadma/Inference.py sha256=NVInb8BmunxRnjlKac_F2JtN-w1W93jUiyuL4jhT9As 12506
gadma/__init__.py sha256=gW1ehwQ0HQmcRmN3V1BffbzPSCxLqrSqo6MMANG8Kro 3376
gadma/get_confidence_intervals.py sha256=MdSITFEQqgIX2LK72JnYRBKfiowQecuTsgMF-wyIdzE 2970
gadma/get_confidence_intervals_for_ld.py sha256=mxImBfsy8L9v_LeZwUC-g5GM3SE-Z-ZYWT6juFzJhpo 4828
gadma/precompute_ld_data.py sha256=iygKdkq_OTa0DoPpSxek3kVn7CYA63vbYL3VTX6THzs 1602
gadma/run_ls_on_boot_data.py sha256=G4xVXF16Mh0Jjt36rbeBWzVhaJJEDiE8O_cQ7BrjoVE 10790
gadma/test.fs sha256=h6meX52bqYAOocTr7q1cC-pUOaTcRxcV1lJAL-wTBz0 1624
gadma/version.py sha256=ZbWSJXP1OPdo3MgxinhT4rPCknK_mtnYnaqWjWnxPAo 274
gadma/cli/__init__.py sha256=l3BXFMz58V8ndqzT_fXJnXtsR4Zjeydk-bebZGIOe-Q 363
gadma/cli/arg_parser.py sha256=m8-po3oTx-hHiVmXLx6n8kEajIgI0YlMLsWUan1RHlo 17406
gadma/cli/citations.py sha256=3-VAMBkQO9G6VLafjaY3irO-5reQkMvfGyU8btJMmn8 946
gadma/cli/example_params sha256=iqGybR1w9Rmn4XR6PuCRfcsKyzHedUDKR2vQH9u0KKg 9799
gadma/cli/extra_params_template sha256=pUK5D0ozLEqL4JqHKxel-7WCKy6svF5llHiNHQzPfkM 4198
gadma/cli/params_template sha256=Ri6z6krhSvEzAEjXPpA9XCrlW4tWULDz0ig9sOps7_g 10507
gadma/cli/settings.py sha256=eN00vWwopnkrTxO8wngkfnBAxAwZSBRwzvJW1cNS6Xw 4541
gadma/cli/settings_storage.py sha256=C_iR57qPa4o4W2c2RfoV_KvBop3SVzuP_bgNgLSenr8 79577
gadma/cli/test_settings sha256=m-_cPTkhgYtCL6jcdztYDxuD4nahNee_vchV5jnyEFQ 202
gadma/code_generator/__init__.py sha256=V67MK260KYXG73VVbqi3L78ecB_J4b-gGWzlCbwFs9A 346
gadma/code_generator/dadi_generator.py sha256=e_udgtRdgJZShc7N_-XP_yfEAoAGlT_y4bKDAj5CtSU 13751
gadma/code_generator/generator.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gadma/code_generator/moments_generator.py sha256=ZliycpYZ4oO0rPTi5NheAmPCsHJ3qLe-FhJ_lUN3YrU 11226
gadma/code_generator/moments_ld_generator.py sha256=4AuouDILVRWBzx73Hck67DY4WEKIsF90yvpEWwZojSU 20037
gadma/code_generator/momi_generator.py sha256=I2hSgefSDJd_x1jxDORvogl_0Z0IveeBk-iQHVOG5_Y 10145
gadma/core/__init__.py sha256=MgT-_combK0ZMZgK3ef1cAlhUxsWtdZJh2jFPt1I_j0 302
gadma/core/core.py sha256=cTcZE7wYqYQzqKlvJY77Tr5OTQgM2iB8Mpak1GpEvNY 6546
gadma/core/core_run.py sha256=JVmURQDROYU2GVXF7u_fV6PZ-ZpoAibN5crc4LgQNSI 27943
gadma/core/draw_and_generate_code.py sha256=ZdA4Ga-p6LIhuic6cO-NMnHTIcs-3PQ_YyPNccgcNGg 16356
gadma/core/shared_dict.py sha256=7Uos3JCKrmY2p6t5cHzQsvwatze_LvPoWS2KQYNdd0M 11656
gadma/data/__init__.py sha256=BcWY8085c7YLSx3jh5xQCJ40UwB8fPkFDKH7aLMHoXg 621
gadma/data/data.py sha256=c8TL_zYOgg9Tf2Exa2Qohzxr1cJ4-ZVEWRyAYutOKls 3237
gadma/data/data_utils.py sha256=Ive6qJlY01VSI2DcTUSsoHDsGk2FvyweJ-CysO03HUU 11192
gadma/engines/__init__.py sha256=ZCm_Gd124vXgk0m3tnH6RktjaFVqKvmMHtmzPIABAgY 535
gadma/engines/dadi_engine.py sha256=9vaioDHCY4NHew6BpDSV0Akt03nq4kvir72eFsCfdaI 8024
gadma/engines/dadi_moments_common.py sha256=H9pFteWPjexWDjYNg5UFh7Va0RvHbLVfOPqdUsYC4QI 34398
gadma/engines/demes_engine.py sha256=61RbVz4IjQWg403NuJRxZjVDPlNVA1STfzwHe2hwl9c 11114
gadma/engines/engine.py sha256=h2jbEzPWpp07jSTo7KtwjvpTAi6jx5l48iCeidEDA0E 9220
gadma/engines/moments_engine.py sha256=SniNeskEHBYp3EzORXNwKrYONAAUtnVCGOk-mlAXTe4 11987
gadma/engines/moments_ld_engine.py sha256=2xX636gYvW7MfFYTjhaBprPJi76uout00pBVe-q69oI 19969
gadma/engines/momi_engine.py sha256=Zq_wHO88fTEAAZf9qzoPB6lLjl06k0p0yPO1xTDa9kg 13437
gadma/models/__init__.py sha256=jOyIEdu5VbkiRe4z8x10IOWivqEKpCS-iVG0MrXzQOk 804
gadma/models/custom_demographic_model.py sha256=ndGV0wwx7ZjgJ2JGacA3Gy1WIOBTzrvyESrzNid0ifI 1662
gadma/models/demographic_model.py sha256=JedFhqiFvbU0J6RcZymh3OQSJFZUybtTBiaHP1pPlyw 31543
gadma/models/event.py sha256=hsKZnDbSJSuelkizQ7SNNuIHjfCuWyJjEwy9QweS3NE 14635
gadma/models/model.py sha256=pSV7PbXqE6WxLOt985kYDs35XWTWTzqXe10szwTksag 6709
gadma/models/structure_demographic_model.py sha256=RDBWMZpzMj8eVGTu3P2FroyITvES9A4K3HpnjsL79Fo 28405
gadma/models/tree_demographic_model.py sha256=7VGgAOR0n8jn3BcBsdbUU9zoDbOPZFhMlEXrmfVyHdw 16357
gadma/models/variables_combinations.py sha256=igLaghDs3R7K4Y--DiNOHG9qKKW2gJC-_LhT2SxwsRA 10649
gadma/optimizers/__init__.py sha256=lFT-JiDshArBEc3o3--XExXmpDdHCmxk_ETTLAMQmrg 1186
gadma/optimizers/bayesian_optimization.py sha256=rzur7CwvrMs4iZOrjQo3vlsti_gCZoLK7FHTUQLxBP0 44776
gadma/optimizers/combinations.py sha256=-h3h2IQe_hy9eOEmI9iynIdVJzkJJGmMOE_j1X0bSSM 11139
gadma/optimizers/gaussian_process.py sha256=DVcDdEblNnUEJpA9I1eTxD0aF7qTfzuFhYwGzeqqyXg 2315
gadma/optimizers/genetic_algorithm.py sha256=6aIk3_MoxnePK7Iuk6PbvQ6-sji8qSGQRJkj3bWi4bU 34658
gadma/optimizers/global_optimizer.py sha256=2kdyDCQ3v2Tu9W_ThuzarK5NQaEsyg6hzwSt2111Bpk 13511
gadma/optimizers/linear_constrain.py sha256=tFvVBmWL63aa_9gs7zYg61zvxVpzyZmeGixj6Vqg2Po 4807
gadma/optimizers/local_optimizer.py sha256=9rUveq-kxOvZFarpWAFazKIQqB8I9bierT1xHCV3BBE 20192
gadma/optimizers/optimizer.py sha256=lWWtK_eFb1s_55t8WV2DiiTe4PtaxZMpB74VaREGKfM 25326
gadma/optimizers/optimizer_result.py sha256=bYkntvRvfbCrafGJsk-6LorVYppQQ339SRk4vCRvmfc 5599
gadma/optimizers/smac_optim.py sha256=G8BkY5hIadPsgCIdFhaXlKgHq8LTfVtwMg4M9WCcZiY 18890
gadma/utils/__init__.py sha256=iYtWwvP4s7qybE_EUFpzfe4GgwpftLJuKeNaWYmPN9A 1797
gadma/utils/distributions.py sha256=wJYMXshjVhLLwsoUtQupnUqOvGrAx1cPUMvrYcqN_fU 4399
gadma/utils/utils.py sha256=7_iIIfiEBpclIJOvv6XRGtSos52_ie3rAr5ybixyI_8 22304
gadma/utils/variable_pool.py sha256=AyKIKh5qk1wWMDhUZR9pGPnGFmrjYLm1UK7pdNgMIJ8 3042
gadma/utils/variables.py sha256=TUzIIZCNzyEbvDXK9p5iksc7K7gQaZL1hgTpvgYTRtY 22944
gadma-2.0.0.data/data/LICENSE sha256=3GeMGwRNMMrbQs-xPUXEkkrsT9IrXOcTqWi2ImIc8PI 35892
gadma-2.0.0.data/data/gadma/test.fs sha256=h6meX52bqYAOocTr7q1cC-pUOaTcRxcV1lJAL-wTBz0 1624
gadma-2.0.0.dist-info/LICENSE sha256=3GeMGwRNMMrbQs-xPUXEkkrsT9IrXOcTqWi2ImIc8PI 35892
gadma-2.0.0.dist-info/METADATA sha256=0XADQxwt6ELrnhwxhVNVU-xiKYRAngpTHP0Iof38W3A 5279
gadma-2.0.0.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
gadma-2.0.0.dist-info/entry_points.txt sha256=f011_yQNIMIjM-F3doKcx_nQJ2X2iefN0ueZznqKPRU 310
gadma-2.0.0.dist-info/top_level.txt sha256=RuIc5FnVZWgSuv754sbKroR78Pak5R_UhUWvZnq6fYI 6
gadma-2.0.0.dist-info/RECORD — —

top_level.txt

gadma

entry_points.txt

[console_scripts]
gadma = gadma.core:main
gadma-get_confidence_intervals = gadma.get_confidence_intervals:main
gadma-get_confidence_intervals_for_ld = gadma.get_confidence_intervals_for_ld:main
gadma-precompute_ld_data = gadma.precompute_ld_data:main
gadma-run_ls_on_boot_data = gadma.run_ls_on_boot_data:main