Wheelodex » Projects » pydra-fsl

pydra-fsl

View on PyPI — Reverse Dependencies (3)

0.1.1 pydra_fsl-0.1.1-py3-none-any.whl

Wheel Details

Project: pydra-fsl
Version: 0.1.1
Filename: pydra_fsl-0.1.1-py3-none-any.whl
Download: [link]
Size: 252040
MD5: 71e57d0d2c458a5bd0d8b56d627fafac
SHA256: f81bbd31f0f96fcb785f0175e9172e74cabafb9a4f207539bcf5fb036092334b
Uploaded: 2024-05-18 12:20:15 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.3
Name: pydra-fsl
Version: 0.1.1
Summary: Pydra tasks package for fsl
Author-Email: Nipype developers <neuroimaging[at]python.org>, Ghislain Vaillant <ghislain.vaillant[at]icm-institute.org>
Maintainer-Email: Nipype developers <neuroimaging[at]python.org>, Ghislain Vaillant <ghislain.vaillant[at]icm-institute.org>
Project-Url: Documentation, https://github.com/nipype/pydra-tasks-fsl#readme
Project-Url: Issues, https://github.com/nipype/pydra-tasks-fsl/issues
Project-Url: Source, https://github.com/nipype/pydra-tasks-fsl
License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Keywords: fsl,neuroimaging,pydra
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.8
Requires-Dist: fileformats-datascience (>=0.1)
Requires-Dist: fileformats-medimage-fsl
Requires-Dist: fileformats-medimage (>=0.4.1)
Requires-Dist: fileformats (>=0.8.3)
Requires-Dist: pydra (>=0.22)
Requires-Dist: black; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: packaging; extra == "doc"
Requires-Dist: pydata-sphinx-theme (>=0.13); extra == "doc"
Requires-Dist: sphinx-rtd-theme; extra == "doc"
Requires-Dist: sphinx (>=2.1.2); extra == "doc"
Requires-Dist: sphinxcontrib-apidoc (~=0.3.0); extra == "doc"
Requires-Dist: sphinxcontrib-napoleon; extra == "doc"
Requires-Dist: sphinxcontrib-versioning; extra == "doc"
Requires-Dist: codecov; extra == "test"
Requires-Dist: fileformats-datascience-extras; extra == "test"
Requires-Dist: fileformats-extras; extra == "test"
Requires-Dist: fileformats-medimage-extras; extra == "test"
Requires-Dist: fileformats-medimage-fsl-extras; extra == "test"
Requires-Dist: nipype2pydra; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: pytest-env; extra == "test"
Requires-Dist: pytest-rerunfailures; extra == "test"
Requires-Dist: pytest-xdist; extra == "test"
Requires-Dist: pytest (>=4.4.0); extra == "test"
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
[Description omitted; length: 8398 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pydra/tasks/fsl/__init__.py sha256=1dAzZiCMozAhYRXZp9tdvuno-4MVMptJfKZTrfJDsBI 1189
pydra/tasks/fsl/_version.py sha256=PKIMyjdUACH4-ONvtunQCnYE2UhlMfp9su83e3HXl5E 411
pydra/tasks/fsl/latest.py sha256=bry3-ikgFnwFRvhZCKnClbci35j62l4qjhNUhIqHwHI 54
pydra/tasks/fsl/auto/__init__.py sha256=zwYsDm_1AaoNJkI-5PRsrn0gpJdcIu8tNsHTCRdNgkI 1824
pydra/tasks/fsl/auto/_post_release.py sha256=KQKdXQ0l6aFmPVb95tN6mPGzd3eWeWK2fWyjcs9JL5E 222
pydra/tasks/fsl/auto/aroma/__init__.py sha256=G8U24nK3tR6UyVZW7rYdnJt0xOR8B51XrQ_nwEIP_kI 34
pydra/tasks/fsl/auto/aroma/ica__aroma.py sha256=4BYwMl4DV7WFU_G-OAV2U0et0VyLg3wO_chg1g6Ydb8 5272
pydra/tasks/fsl/auto/aroma/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/aroma/tests/test_ica_aroma.py sha256=wQsusLjTMr6S7zolu_ifwmkC-GcIUnD1t3HMXsMrpNI 1437
pydra/tasks/fsl/auto/dti/__init__.py sha256=gQ-xX68ZkKT_qcysdL-3pkmeqU6sOT7_QTcU3YWGBrk 410
pydra/tasks/fsl/auto/dti/bedpostx5.py sha256=AOn-p4_c930-KCeqHkm4B5oTMBVrwuIYK4Iez39kzCo 7155
pydra/tasks/fsl/auto/dti/distance_map.py sha256=MF5NzJfDV-MYJ4S7RSu9nYWWrvMjRyNHMwiu5DysLxo 1716
pydra/tasks/fsl/auto/dti/dti_fit.py sha256=TCr9lTY_oMjoW4kNUu6M-9jPACXgKuvJYhXoqwP69Yo 4435
pydra/tasks/fsl/auto/dti/find_the_biggest.py sha256=V6ZPKe7d8xOq-ehk__ckyYD6-7nOt7QmPmQK1MLB5PQ 1509
pydra/tasks/fsl/auto/dti/make_dyadic_vectors.py sha256=Wt1ADV5TWkLF1uZytkoSnsVDc6a114X32Ca6KvpZ_W0 1475
pydra/tasks/fsl/auto/dti/prob_track_x.py sha256=zo18gDtV4MzCvPWt6MurKbKjeNPeQLbF5ytISiAGULo 11008
pydra/tasks/fsl/auto/dti/prob_track_x2.py sha256=ku3dfHdGfM3WZ-4w_IwseF73n8JtSyVPpgszzX0Yo4g 14410
pydra/tasks/fsl/auto/dti/proj_thresh.py sha256=-ADBdlGOltKFb3antcm70eUzY2unE1g38JbLYaz375M 1524
pydra/tasks/fsl/auto/dti/tract_skeleton.py sha256=c7pSKYxN-c-I2M0tIVb62-59DB9_C1pvvUnSHzhNn1g 2666
pydra/tasks/fsl/auto/dti/vec_reg.py sha256=A66wcIAtwKdeV8o6gtllZoOrwSh7xpkCoSkgunDwGK8 3577
pydra/tasks/fsl/auto/dti/x_fibres_5.py sha256=iKcvE9ESQrmoJZGCocR_PbqntizTeyUka70XDlHO4dU 6411
pydra/tasks/fsl/auto/dti/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/dti/tests/test_bedpostx5.py sha256=n9OpZp4m0M7wmrya2O7UwyziH8SP8KZ8JTRl8bK6PIM 1383
pydra/tasks/fsl/auto/dti/tests/test_distancemap.py sha256=s19t6IXlYWmWCrgnrDfSdYs2VBqUyPW7ojaiRnvFmU0 504
pydra/tasks/fsl/auto/dti/tests/test_dtifit.py sha256=7CWumrUEWR6F9gXNfEWJK_58xiiPVNp_dP7wWit_2fI 1137
pydra/tasks/fsl/auto/dti/tests/test_findthebiggest.py sha256=AeBBTNzxfbJbzAeE7F5hU_d1hxRUc5bikh3rxqXct0c 763
pydra/tasks/fsl/auto/dti/tests/test_makedyadicvectors.py sha256=nck4M6FcoWoYYMj7s0S89tpMy27Cs3Dm4P0AVbUCxgk 617
pydra/tasks/fsl/auto/dti/tests/test_probtrackx.py sha256=zi7fvnxZdsbGoI5IyqLWdu7gL7lHMgWV38jg77oWh6k 2062
pydra/tasks/fsl/auto/dti/tests/test_probtrackx2.py sha256=ivm-FGaJ7Lj2cleuIamn3sy-LU4_B3bVo_uKVUjc050 1944
pydra/tasks/fsl/auto/dti/tests/test_projthresh.py sha256=tZQDAEQ1-pNYVgyZJNDOjYaKOW4_K6Ke_nJmR3fsw5E 719
pydra/tasks/fsl/auto/dti/tests/test_tractskeleton.py sha256=r4jsEKz66Uc_oZCxdPZ5698q7p-2EumLxKSHnYjVm_M 762
pydra/tasks/fsl/auto/dti/tests/test_vecreg.py sha256=0PDQiRj-yuL04cjGkL_zraJq8Qp1PBZUaesY5p6MAm8 1246
pydra/tasks/fsl/auto/dti/tests/test_xfibres5.py sha256=ZI-f6HqC0PeYxnXSAdGIXg7SVAAz6JqwHXpJOlBDg6M 885
pydra/tasks/fsl/auto/epi/__init__.py sha256=fCYwfyVXGHPJsiZY-MiCQ9gXcFg9ujXNFnyx0wn4lMA 263
pydra/tasks/fsl/auto/epi/apply_topup.py sha256=Al2h_NRXdTOYh_IcYvXczY2WOJYugwaMqZ2CQSuSqMc 3221
pydra/tasks/fsl/auto/epi/eddy.py sha256=A2a9R0F1S_8YBKqa0lHJOnPe7wSFol7dgnN4SbmpNcA 16244
pydra/tasks/fsl/auto/epi/eddy_correct.py sha256=tbyf6HgLxjH4ASyR0-eUvrAuOPCYLs5OGg8x2wdXRRQ 1738
pydra/tasks/fsl/auto/epi/eddy_quad.py sha256=bJaYwOyQrd1a1w0JCmg06pUxxqCW1nKbbe2nmyf13ew 5175
pydra/tasks/fsl/auto/epi/epi_de_warp.py sha256=YdrMncZAO85322p8v7smSPllkwMd7Rc5noJG-ewb7o4 3365
pydra/tasks/fsl/auto/epi/epi_reg.py sha256=YiafLSSzRewX4EA6cnIXNDsQtyDehsYuBEK3zu399yE 5473
pydra/tasks/fsl/auto/epi/prepare_fieldmap.py sha256=64uXX4Vn6Ocq8P8pqAQhHL0mqKsRtyY3WWG3X8FeBHA 2607
pydra/tasks/fsl/auto/epi/topup.py sha256=rWgZTcjgzGbatMAfdPLT6UDs6TElIVrUDXQv6i7d0M8 7965
pydra/tasks/fsl/auto/epi/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/epi/tests/test_applytopup.py sha256=VJScjLw3V4f-iTw3tnLvbvHbxjKO5YnFP83i4RLl1Ec 1091
pydra/tasks/fsl/auto/epi/tests/test_eddy.py sha256=N0u7rols9y_kWhHUdoJ6nmd2S_50zi2vZA52LYjs9M0 2253
pydra/tasks/fsl/auto/epi/tests/test_eddycorrect.py sha256=4KFg_J1eQm1z_L9bEam2UailxHX15ieZmHtXtm-ssjk 771
pydra/tasks/fsl/auto/epi/tests/test_eddyquad.py sha256=4TR5vHVNJnhHZE1YG-bmROEh3WVqFLQcpYFBK_b9yXo 1145
pydra/tasks/fsl/auto/epi/tests/test_epidewarp.py sha256=w046Xd4mFNfTqxU2C-itCG4FfJ7R6sCZewxsq2mpigQ 1083
pydra/tasks/fsl/auto/epi/tests/test_epireg.py sha256=svbeVgMwlXLS9z7qG9JCyL4u37AuA1wAqLkt8iknr_s 1411
pydra/tasks/fsl/auto/epi/tests/test_preparefieldmap.py sha256=vmuWuajI8POVENh-qUqQqnq9AwfxXcjCNXB8waV_HcI 896
pydra/tasks/fsl/auto/epi/tests/test_topup.py sha256=G9O94_bWU9uCWFyLLw3KodTRj915y6ItHurVMlYIX1M 1061
pydra/tasks/fsl/auto/fix/__init__.py sha256=PUHUGcsEUMGMNBu9A4hK0-l7BX-maROPAqsMiVUfLyI 240
pydra/tasks/fsl/auto/fix/accuracy_tester.py sha256=lEcDgKirejp3QB3QBUpSiWIQFoM5HKj_x-IoaCBJ-P4 1845
pydra/tasks/fsl/auto/fix/classifier.py sha256=ZoF5J2V7eZgGENE2BzN2DFEz_MlIoHix1kjBRl7_PEA 1884
pydra/tasks/fsl/auto/fix/cleaner.py sha256=fIOmQtROn0D1zNtCBnL-tnYmIfRSAtfi2FoAZdSWXcI 2415
pydra/tasks/fsl/auto/fix/feature_extractor.py sha256=yiFMX80R4vWIoXVjCgHXfw8w1lZzyJnAmfphZLMUkbk 1095
pydra/tasks/fsl/auto/fix/training.py sha256=PWEMXcR2zyYEjhJkS2rLo3iOXhWK3upY_TEbGeM5myM 1457
pydra/tasks/fsl/auto/fix/training_set_creator.py sha256=g4mjVxLwZtL_mYMjVroCdTRYTXaOVG-9DYTR5fzNnOE 1302
pydra/tasks/fsl/auto/fix/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/fix/tests/test_accuracytester.py sha256=cQ9PeVv-Ki-m1fRKOLzEzem9mA_0C87eaT8llo57ou4 580
pydra/tasks/fsl/auto/fix/tests/test_classifier.py sha256=0C6Qycu-OUJCBr0JD7UMUYhTB2Y8KLPXEecQJFPyOwY 522
pydra/tasks/fsl/auto/fix/tests/test_cleaner.py sha256=yWg-1uQ-smkLAcdJACDc-g5olihEG3xzuv6K8JGc-MQ 642
pydra/tasks/fsl/auto/fix/tests/test_featureextractor.py sha256=xaQUCp25fP3UdVCTu83McXPKE86JEwlzvxR-I0h4ifI 393
pydra/tasks/fsl/auto/fix/tests/test_training.py sha256=LAoqYVp9waW18QHMY2wwZGL3GkphyZnxDKiyVnClCcg 446
pydra/tasks/fsl/auto/fix/tests/test_trainingsetcreator.py sha256=_wlERQzbJkuRqpjFxNBiEMkPuH0E4KfXZBW4mO6qCF8 459
pydra/tasks/fsl/auto/maths/__init__.py sha256=Q6juoBSuQHf6axMh2XAyLB0XRzOu81hxlpMMmwqmqKg 759
pydra/tasks/fsl/auto/maths/apply_mask.py sha256=kgzFUyhQEbczj36FJ475KDSz6DiPcjvSV6xWvq0u548 2120
pydra/tasks/fsl/auto/maths/ar1_image.py sha256=j3Ka6vk2X23MDCbnkz6Pi4VuUBB1fOFQSFIISTA6uk4 2066
pydra/tasks/fsl/auto/maths/binary_maths.py sha256=0SKi7YvcWO5ahbftBQ7ocmnczFXf7grHImmv44YynGc 2633
pydra/tasks/fsl/auto/maths/change_data_type.py sha256=dtB9XR_eYlVSXBkgCsagv8I23noqML77xkHR3PrK55c 1880
pydra/tasks/fsl/auto/maths/dilate_image.py sha256=On8ggF1CEX6T9Jf6cnUsMyFuU8-uzJ_jCScRCQFtgfU 2813
pydra/tasks/fsl/auto/maths/erode_image.py sha256=Fi_bjac8bKdPqLprw3QKq39kt1M2qN9t8zvgrUs74bg 2810
pydra/tasks/fsl/auto/maths/isotropic_smooth.py sha256=uMV3eKyr1oLLHFB3JfcYLThc7ahcVSVzpz3rd4LgCfg 2395
pydra/tasks/fsl/auto/maths/maths_command.py sha256=OG4Y-_LLmI9TJGDblZcKljh3EI4LAXvhdR9Xw9tNA2w 1870
pydra/tasks/fsl/auto/maths/max_image.py sha256=5huEOrk2yISZGcbI_KryUUlCKapBlLhICcUuycOExnE 2238
pydra/tasks/fsl/auto/maths/maxn_image.py sha256=EFXPV8JnNE1V2Ier87MJ7MaYZkzc8s9Hl81rI6FwxAE 2062
pydra/tasks/fsl/auto/maths/mean_image.py sha256=0-39lqDjtteTL8qdTdEiWRjwYeuVK-FbONTdttl5_vU 2057
pydra/tasks/fsl/auto/maths/median_image.py sha256=HBaHt1mrqGCoZMX21FrvtW_LG4Kcm-efHEpIhcDFWvk 2075
pydra/tasks/fsl/auto/maths/min_image.py sha256=R_PO59EHEzzYtGjqX0jFiBQHU8NB3pGx3PYtjM5KRcQ 2048
pydra/tasks/fsl/auto/maths/multi_image_maths.py sha256=kEIRT-dQvmi_IHkKLPbpcXE0MAFqfYg38nlaUT_qaBE 2726
pydra/tasks/fsl/auto/maths/percentile_image.py sha256=pba3N6H_AifmIeSHLLIEB8cKZLpfGyi9bcUBKT4J4zc 2516
pydra/tasks/fsl/auto/maths/spatial_filter.py sha256=yxTZIT4pKFLUbh7bjsoDLQ27ZBeeuEc8WRik7Vf4VXs 2807
pydra/tasks/fsl/auto/maths/std_image.py sha256=Ziho_EuAM7UnAH0Ly6b5AspFGV_Pk5snQNSTDfaR7yU 2061
pydra/tasks/fsl/auto/maths/temporal_filter.py sha256=JTvFy-nsD6x538IVPitSoIbGT_jeekVBSo_Al3iO9Q8 2335
pydra/tasks/fsl/auto/maths/threshold.py sha256=atd4MoVOGVq2nX6HTHu9s7Inacnm76cbTYyHIGVLUes 2529
pydra/tasks/fsl/auto/maths/unary_maths.py sha256=aQaOqZ7Gj3COex06jR-Aup80Ukds9PbBimu9ZeAmFu4 2074
pydra/tasks/fsl/auto/maths/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/maths/tests/test_applymask.py sha256=NiK0qRMYRqpEWWUu_OFHxLt8uN_H2MBZdQDATHkuluM 514
pydra/tasks/fsl/auto/maths/tests/test_ar1image.py sha256=uy0ydn0EuPi2yyQ98DgJZ0yfhxvVvIx-CsLsnqhhi_c 478
pydra/tasks/fsl/auto/maths/tests/test_binarymaths.py sha256=BtLIvwKcKvOrdm4lbaYFQG3mvxqivxkKQ1wqrV9GXec 509
pydra/tasks/fsl/auto/maths/tests/test_changedatatype.py sha256=oqit2bt6ZKskxBj7FihvpPEj1ErbViWHqtX8AFLs8e4 471
pydra/tasks/fsl/auto/maths/tests/test_dilateimage.py sha256=n-PVLSmKtddb83QQ5-xyPRrROws-66zJt2KS-no8zCY 508
pydra/tasks/fsl/auto/maths/tests/test_erodeimage.py sha256=QEp1z6oGZ_b6guTGY4HnHgb3PLDNskjgTcHr4Vu4oIo 543
pydra/tasks/fsl/auto/maths/tests/test_isotropicsmooth.py sha256=wxjPnC7wm82yrS5S3nQGgWv8qLIQh3Y7yWQcQ1qdi_E 474
pydra/tasks/fsl/auto/maths/tests/test_mathscommand.py sha256=0lQ6VhWUbbRN-y3RsUB6-V75pSo1V_LxqpGI3HJOgPQ 462
pydra/tasks/fsl/auto/maths/tests/test_maximage.py sha256=zjkWeU_pH2xerewgNHLpTgCqk-ADR9A94zLbeYOTJIA 712
pydra/tasks/fsl/auto/maths/tests/test_maxnimage.py sha256=c6-KTAOeQMXgoEmtYMTPKi21BACyva_vvzzWu3aEdJA 482
pydra/tasks/fsl/auto/maths/tests/test_meanimage.py sha256=weCG7V_o1PWVPN5q_EBJ4NQ0VEDBzU8EzLCwFQgPCSw 482
pydra/tasks/fsl/auto/maths/tests/test_medianimage.py sha256=mkk7I9Rr0tDpOzw9cDmqI2u4_W7hO7ecTK6GxxSrqdQ 490
pydra/tasks/fsl/auto/maths/tests/test_minimage.py sha256=tUhb1LKy3yuvbFfmvSzGnX75siayOp4YFJu3dbOpyEg 478
pydra/tasks/fsl/auto/maths/tests/test_multiimagemaths.py sha256=j4VUKYKr5UHPdEHjJG2iFzElyBcfGzQsQVi7pM78Y6k 934
pydra/tasks/fsl/auto/maths/tests/test_percentileimage.py sha256=cZHRtqNRpybppqTJdE0zb7nSKwgnnAIvEhwa2x2TEU8 754
pydra/tasks/fsl/auto/maths/tests/test_spatialfilter.py sha256=JL5ddplkWROu7bZ1PPblf5sFx49w5O6dq4qRmzSz0hw 516
pydra/tasks/fsl/auto/maths/tests/test_stdimage.py sha256=SqEh9GnOMMl9ytZvHdJ2riDw-a2XJ0vMZ-JQQcMRSLk 478
pydra/tasks/fsl/auto/maths/tests/test_temporalfilter.py sha256=9bXZYMjBMEQ3YZ4xrbCag63IgpmvgjQt3YPMTzCHK9I 541
pydra/tasks/fsl/auto/maths/tests/test_threshold.py sha256=vqUpCQTHaWohC2B46hCYzh0t35HqzsRRC2F6dwfLiKA 485
pydra/tasks/fsl/auto/maths/tests/test_unarymaths.py sha256=9vk11W_6NF2aTkphvYKoNO06Scb1Kt7pO1eleQ-NOPQ 454
pydra/tasks/fsl/auto/model/__init__.py sha256=VnrogAIlw0d0X1y1n40IrjIYjje4NK6p7BSmTl3iVP8 502
pydra/tasks/fsl/auto/model/cluster.py sha256=sI6HoCCsusVzZQEvKazeJ1adr9JJ87tTJ1GIciix-fE 6452
pydra/tasks/fsl/auto/model/contrast_mgr.py sha256=PtKrGK0d6hedr4QaZqVLfVg9tK7RJM9mwvuwJLO0K3I 3117
pydra/tasks/fsl/auto/model/dual_regression.py sha256=clpSJNmIbNN5coKZy9tJaf20XU2BiFtNr6r8O50R9UQ 3642
pydra/tasks/fsl/auto/model/feat.py sha256=bxVUMq_2si3qznw-SuqQQedmSDUNKU7w_4rCIpJmiHE 939
pydra/tasks/fsl/auto/model/feat_model.py sha256=1miOizGBlGE0EU2uyAudk9sYjO2GVRz4mxLc7kNO-v4 1799
pydra/tasks/fsl/auto/model/filmgls.py sha256=BgFmosIOD-MXmjCCndyBb3CwX3oSuV35FcF0tUOIlgg 5349
pydra/tasks/fsl/auto/model/flameo.py sha256=IbbBjcUcZQt6y7kjAtsIZEb5gG_fGsGMKOGrVVzlDBk 6364
pydra/tasks/fsl/auto/model/glm.py sha256=HuIzxKIRwT5wR5QJkXpNytI6fts_GjBQL4CP_dQNAe8 6793
pydra/tasks/fsl/auto/model/l2_model.py sha256=VvyyQvN8F4zgQZ83WNZautW8xQg_nEGdXWEEU2EbhRw 1928
pydra/tasks/fsl/auto/model/level_1_design.py sha256=luIGwnZ-bwh3HL2WkvneBiFVg9GH5-RxxTZmSjqGTzE 12167
pydra/tasks/fsl/auto/model/melodic.py sha256=Q-djM7tTReiHeYON0g21W-D0luKDpe2VIXVb-SOHjZM 9958
pydra/tasks/fsl/auto/model/multiple_regress_design.py sha256=BWIIxOfuDSuHLZGoYl4kFPT31GL_V6wbOqLRQP5sLVc 4285
pydra/tasks/fsl/auto/model/randomise.py sha256=2hwk_nLnJ_-BekJpdbzxONpGj0EE48wfRcJMLCTCigU 6794
pydra/tasks/fsl/auto/model/smm.py sha256=-Kr5pO8BUsPrAG4gR0IoJU1zZR3cNK89QxaICeAUMgg 1478
pydra/tasks/fsl/auto/model/smooth_estimate.py sha256=SPo9XN7hR2g3GJna_fNQMLBNJFikPeCc-jRPB80XmOg 3039
pydra/tasks/fsl/auto/model/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/model/tests/test_cluster.py sha256=A14KN722NzO6NxMDNB2r5DT-_0RFzD6wKxNmuHVjwN8 1203
pydra/tasks/fsl/auto/model/tests/test_contrastmgr.py sha256=VyZxbtWFPRC1ri1iN1mR7Ovw3Uq3sUhII-H05AIvQA8 713
pydra/tasks/fsl/auto/model/tests/test_dualregression.py sha256=JmP7DYWyNrJvSFaFpI5ejN9_45_hNHnqVrWTLcrWBOA 1191
pydra/tasks/fsl/auto/model/tests/test_feat.py sha256=_8f7mPQzxPMozfEDe8RFumyKVbXJ9-Y54KSKtqw89aE 430
pydra/tasks/fsl/auto/model/tests/test_featmodel.py sha256=LqtPspSIt3-8MXoappdyrVESH2NK8_jnxFKhmhDoW6M 500
pydra/tasks/fsl/auto/model/tests/test_filmgls.py sha256=VGqqsfw8XkOupkty8UNqCUjYmY9waqSqnEl5kYoSwWQ 566
pydra/tasks/fsl/auto/model/tests/test_flameo.py sha256=Rfew7D_keegRPqZz7muXOO_-3vui2wVN4wKsRVcS_rY 1543
pydra/tasks/fsl/auto/model/tests/test_glm.py sha256=OvjMJ0a1sMkzG6AtvIFR9Cx2IoDVs9SZeNXdy8lZ4DI 871
pydra/tasks/fsl/auto/model/tests/test_l2model.py sha256=yAMzuOS11kCoSd7jaPu7QtWTuiJdBazLyqQT3jrCsuc 317
pydra/tasks/fsl/auto/model/tests/test_level1design.py sha256=LeZXrMlxdBf4wCCH5-ucxXklHi6-lxt6fYwpqQvAUiE 377
pydra/tasks/fsl/auto/model/tests/test_melodic.py sha256=3zUU564isGekZzjXFiw9O6JFVPKks1rRse3hOQS3_0A 1639
pydra/tasks/fsl/auto/model/tests/test_multipleregressdesign.py sha256=miKE-3hcP5W2VkfUAVoRHjR9KJA_MVRQAQchGIQ31FQ 374
pydra/tasks/fsl/auto/model/tests/test_randomise.py sha256=q2aS5snDZTiaOmBp45Fwe4wdoKW_Ze7Etj5ZsY_53wY 1230
pydra/tasks/fsl/auto/model/tests/test_smm.py sha256=GP6jGaqW_u3ejbFvMD-7KF11mlXR4CQr7j17gkWH8QU 478
pydra/tasks/fsl/auto/model/tests/test_smoothestimate.py sha256=_arKiT5eqEMrm_Z2AlHp8lDUWuMoyNq4eWL8nnI2ZkI 926
pydra/tasks/fsl/auto/possum/__init__.py sha256=m3FDxKuaNLqEQkQHJYw44ICKxT0jsAt9nTpCEGA5oeM 28
pydra/tasks/fsl/auto/possum/b0_calc.py sha256=zYJQ69Ottj04UupGJ4zTBRw9Fi_CHr8MlqdS45sSKVw 4060
pydra/tasks/fsl/auto/possum/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/possum/tests/test_b0calc.py sha256=Yg6BuzqbuUvjsZfXmzFo1hRLAYsBWa8yQVekHBVuYFE 1038
pydra/tasks/fsl/auto/preprocess/__init__.py sha256=jWNd4uTUyZvP_YaUf7jKo0blxax5QTeN1pmOy8IGPr8 329
pydra/tasks/fsl/auto/preprocess/apply_warp.py sha256=41wXqBsgPCvXOhPyOdsy7wf-qrUm2JYXeUMPJ7reOVY 3365
pydra/tasks/fsl/auto/preprocess/apply_xfm.py sha256=aHVjgq90mq4vDFxN2FFEVAb3pGsmGUqnNorSSJ47qtc 8912
pydra/tasks/fsl/auto/preprocess/bet.py sha256=DUk1mLVOSqpaaodyXFrArMf_c3aI_BepYRD4tnUYbVo 7040
pydra/tasks/fsl/auto/preprocess/fast.py sha256=nUok_x-Hiy5GNlgOEThkH1JpvpBC20TbWe9aied8UM0 5580
pydra/tasks/fsl/auto/preprocess/first.py sha256=QINW05jjpJAfAtQ0n42JXxwUbXma0YzpIVS9jdXYFsw 3568
pydra/tasks/fsl/auto/preprocess/flirt.py sha256=UBPXtMyjGYKSpddIm6ObemmSKlj41dKgGFGj2t1Hf-Q 9735
pydra/tasks/fsl/auto/preprocess/fnirt.py sha256=ZT2MTsVZ1ajINOSxDH2EbHLqmd32HRGcnRzSRW2dUpo 11278
pydra/tasks/fsl/auto/preprocess/fugue.py sha256=rhKsF3Y_R-vgJSC2J1jUHkF6wFyLiVdrK2M3fA5eRG4 8778
pydra/tasks/fsl/auto/preprocess/mcflirt.py sha256=uhFbkBqDwaYVsEren5eZt10dJqEaTTrtdaU9qkW5Vao 4753
pydra/tasks/fsl/auto/preprocess/prelude.py sha256=ISF4ZynhiwWX5Gf3Eau5N6XXfZjgj5LvSiVkZKYocuU 3980
pydra/tasks/fsl/auto/preprocess/slice_timer.py sha256=vrRki5HJteBJ_57cjFDEwXepxJMpupIecMt7OeL_Au0 2551
pydra/tasks/fsl/auto/preprocess/susan.py sha256=OK9CSBmeFvL0K4HT3pGEKqfModSJqt1mdVqTc3r7b3I 2541
pydra/tasks/fsl/auto/preprocess/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/preprocess/tests/test_applywarp.py sha256=t_WmGApmMGHAqIgKuLi_nw7lf8fHb-Qr_397xpDOrnQ 564
pydra/tasks/fsl/auto/preprocess/tests/test_applyxfm.py sha256=pV7rrQjTb2tZIk7iHgXLfkYSmeVVD6c1Kc3YQbM2dF8 973
pydra/tasks/fsl/auto/preprocess/tests/test_bet.py sha256=dP7DgvJ1JEkbuMbtU9Tv03KvCYwnz71NVNcI8SXDB20 811
pydra/tasks/fsl/auto/preprocess/tests/test_fast.py sha256=IEFGrMPwA_mhRzJLHzBTrsQ1L_nGRkXrFrCUuDLxEnU 900
pydra/tasks/fsl/auto/preprocess/tests/test_first.py sha256=JgecDPJbcOyilf_Jhg-LseB3Bqr2Ddlj-uiBZaUYrDU 520
pydra/tasks/fsl/auto/preprocess/tests/test_flirt.py sha256=LnmeYvyw1IADIGkWKe6KWilKC3jzggGhT6tQ197XnBE 1312
pydra/tasks/fsl/auto/preprocess/tests/test_fnirt.py sha256=BZD8LXCVv8Tc4Jaqi-A1G-3iKMh2_GvEV-QYn-ysIjU 1057
pydra/tasks/fsl/auto/preprocess/tests/test_fugue.py sha256=3cE62zjlo1ctD_sC_xyT1Jkdq9qB5Iw13cL-BaXVh1E 1924
pydra/tasks/fsl/auto/preprocess/tests/test_mcflirt.py sha256=GqJf0rZWQlR5owu6pm8rnAyjIF6RqtbvQKC_iWz_5ss 881
pydra/tasks/fsl/auto/preprocess/tests/test_prelude.py sha256=EP7fNRsVdd_IBysc27a-oqE6nFbRPQ2KgiXXX7HVPl0 763
pydra/tasks/fsl/auto/preprocess/tests/test_slicetimer.py sha256=TKPEs9Pd1fktZu7L6CBHscei3t7hmcVTr8UEVTuyrK4 563
pydra/tasks/fsl/auto/preprocess/tests/test_susan.py sha256=LSOJI2b4Gems3H8B9gWNrn8zBKEcS1j9jaoym18D06Y 526
pydra/tasks/fsl/auto/utils/__init__.py sha256=I25Mek_zok-5YVgb9pjEvMm5gVnce0We7nA8byuJ-po 1114
pydra/tasks/fsl/auto/utils/av_scale.py sha256=o9abiCc0q4ZEMPDTRMZDPhEUPSsBPTKcKhvVE57QGcw 2771
pydra/tasks/fsl/auto/utils/complex.py sha256=F_GN2lNW45EQpCwzlbiSNcVj5l7pIeX6V8QnoPswX_k 6835
pydra/tasks/fsl/auto/utils/convert_warp.py sha256=vw40UN9NY1GoISjZnkTPdzTNGzyeu_GonusGSwBpg3Y 6313
pydra/tasks/fsl/auto/utils/convert_xfm.py sha256=erEBSfThh3JhnsB5uPv5SH_ehrOyrjh2wdwRReG3dDs 2721
pydra/tasks/fsl/auto/utils/copy_geom.py sha256=k5BzNywz4KnyG5sBK9bpSVP43k6f2V7J2K15NQk8x7o 1418
pydra/tasks/fsl/auto/utils/extract_roi.py sha256=fNeBUjJk_g9N9ARYxVKpNuFu0DJADvgGf8EiqDGDuqc 2434
pydra/tasks/fsl/auto/utils/filter_regressor.py sha256=ozRLkRAQ3vM0iDasFEyJiCn4tRTGUBnLfKN3xq_PLr4 2510
pydra/tasks/fsl/auto/utils/image_maths.py sha256=2ISSo7VgJG-svVhf9DDbrJce7NaYWSQKh107_LY4QgA 2162
pydra/tasks/fsl/auto/utils/image_meants.py sha256=Cer03MelImPa96_GNXN2s8w0-Zx1lj80oINyia-y_c0 2563
pydra/tasks/fsl/auto/utils/image_stats.py sha256=in5vmhs3GDYHy4zz9T-w869F1vMamdZZleIRmMRUh0s 2546
pydra/tasks/fsl/auto/utils/inv_warp.py sha256=Ey2wdHf_N2h344W_np5JkDFp5xngX9qV2Vhp3pDZMtI 3903
pydra/tasks/fsl/auto/utils/merge.py sha256=AXYXpwpE_EVHuKcjKyseNLepUIHoxYsnE8J-5SuwL6k 1896
pydra/tasks/fsl/auto/utils/motion_outliers.py sha256=5csJmqlDoXhTuPp3c1cVsf6I3Wzagj9bAaEe84BaAuc 3212
pydra/tasks/fsl/auto/utils/overlay.py sha256=jUL9dFzglxgZW3DM9PXm3MDuW3Lwl1ORYF5WnJLdu18 4019
pydra/tasks/fsl/auto/utils/plot_motion_params.py sha256=Q5fLkgiO4sdoCc3_Z6_MYqtYoFbFsrsF8FiCzYKnKqg 1691
pydra/tasks/fsl/auto/utils/plot_time_series.py sha256=yAE8cT3auONBESu1INFQbq_iK1lphHJPVcsKr4-65B4 3439
pydra/tasks/fsl/auto/utils/power_spectrum.py sha256=cWO_Dmy6V9ufN5KCDvHInXIuL8_y2rsW_lKIGbkuhyc 1236
pydra/tasks/fsl/auto/utils/reorient_2_std.py sha256=KigvpcQcIFsaWWbmRQWrE8bFp0rszSBOgRZjaJoMhbg 973
pydra/tasks/fsl/auto/utils/robust_fov.py sha256=lTPN7nXw1iPokUW53zk2BKM4sCurWrZpAWJnVoQAwS8 1587
pydra/tasks/fsl/auto/utils/sig_loss.py sha256=sb0jZHzyF5Q6B_f9gcytoATkXom-FAEtFSoVSaan6dM 1481
pydra/tasks/fsl/auto/utils/slice.py sha256=B3wnspF_-4e6rtHoeBJW9PI3kUUAM0x4ayX3oJdvkhU 1364
pydra/tasks/fsl/auto/utils/slicer.py sha256=m77OERnj3I4zDwblVnFNoRzTgYsSKJeash4VrKsXAAE 4615
pydra/tasks/fsl/auto/utils/smooth.py sha256=cTlPd2GahEhAh7H1NNKgcAzNgIfYKySizyPrnuIb_ik 2224
pydra/tasks/fsl/auto/utils/split.py sha256=sMnN76vwhmviLUS-rpBpwzZPmozVp5rZEAY85mU8kKs 1305
pydra/tasks/fsl/auto/utils/swap_dimensions.py sha256=VvkO6wzZEzhdXNXr_ddj-B4wo_V0ebW5-plPxl9xbmY 1409
pydra/tasks/fsl/auto/utils/text_2_vest.py sha256=4onZFcy_0TKpCoOFP2EXa-JhKkjEEsgS1bGYWASslh8 1703
pydra/tasks/fsl/auto/utils/vest_2_text.py sha256=MKV9x6hc3Kaujvhl5iIRn6fIqR2-2TT9EyzZy6J-J_k 1531
pydra/tasks/fsl/auto/utils/warp_points.py sha256=zes3PcjDd32_3Fzpycd6eULJAa4aRiSY9onC_VPQyHU 2949
pydra/tasks/fsl/auto/utils/warp_points_from_std.py sha256=8BHpftQ7wtN6z-loZ8pC_XuxE56hW9CxA-NjII2rGDo 2985
pydra/tasks/fsl/auto/utils/warp_points_to_std.py sha256=42XQSHQBUtMvffRCQEjdnPmaGeiokqMSQuFxmwdlGLs 3249
pydra/tasks/fsl/auto/utils/warp_utils.py sha256=-jfvgaUINNbxUCXWbWwIdTVqKC0atJjrPD85pSTymxo 4908
pydra/tasks/fsl/auto/utils/tests/conftest.py sha256=lTwq8WdrGoWQvLY56uhYkssVidqMe1D6DxELfN5Rtk4 811
pydra/tasks/fsl/auto/utils/tests/test_avscale.py sha256=65tejREbG4OeEDFZYaH59Xb6V6WIKY3TW5wQC0NNFMU 490
pydra/tasks/fsl/auto/utils/tests/test_complex.py sha256=AFfBMDmz4WAFoThXgLcYjb9C-Ct6UbBAnoG_ZKkWaJk 719
pydra/tasks/fsl/auto/utils/tests/test_convertwarp.py sha256=HtyWQBKTrU9E0KtiIb9Q-vjPR8x5NXkrxScJ3yNHWCc 1094
pydra/tasks/fsl/auto/utils/tests/test_convertxfm.py sha256=74q1gtKDlz0JTGjmJWaCU9PX3HTkebvPoZzGwiTASI8 868
pydra/tasks/fsl/auto/utils/tests/test_copygeom.py sha256=PoHhkKMObfcnZubhdEDUzOHu7h3BsXVSlLMfqIivLaI 446
pydra/tasks/fsl/auto/utils/tests/test_extractroi.py sha256=24VFuQYkfmCz5RCdW1SU4SpR05CiVDPwT9FUndmHYyo 775
pydra/tasks/fsl/auto/utils/tests/test_filterregressor.py sha256=bVaUJMQOi99-TtokLGY_wV95wEjFT1qypu_EWrxpQEo 567
pydra/tasks/fsl/auto/utils/tests/test_imagemaths.py sha256=0uFi88CCZkqbwAsq4HwTynQD-3z12x5q654CDtBVD_w 860
pydra/tasks/fsl/auto/utils/tests/test_imagemeants.py sha256=eWyyEEAbpZEHhZH16YUeVSIrMcv2vhgXtZ9-ZLB3G3E 527
pydra/tasks/fsl/auto/utils/tests/test_imagestats.py sha256=0DD9ISXRVdnR3BthNbh7Bvwg7d4BBwyGcIqJ_OBybo8 820
pydra/tasks/fsl/auto/utils/tests/test_invwarp.py sha256=IrtzxU4KdoynrV12n6g0pdIK1rWLvZrKYWhEJH2cUK8 768
pydra/tasks/fsl/auto/utils/tests/test_merge.py sha256=SoLimKeOzn-HeZqlSc1SEJpr0RA7UncZGjiXNr5htZ4 725
pydra/tasks/fsl/auto/utils/tests/test_motionoutliers.py sha256=36DXD084EmmADyvYhU0kp_wDjYGXU1NwmwR3yfiw7i4 796
pydra/tasks/fsl/auto/utils/tests/test_overlay.py sha256=53xpKIIguLss9DE-hZ0ENJUABE07SB7XVonEvYaIsOI 621
pydra/tasks/fsl/auto/utils/tests/test_plotmotionparams.py sha256=UHa8wTtuwmXSFmHhGJPuZqgCjUPJO5CHEHbxYomNYao 396
pydra/tasks/fsl/auto/utils/tests/test_plottimeseries.py sha256=UqIv02QwamlDu2kHRHujIfLbdrcIzoyNd_pzVOjEeIc 503
pydra/tasks/fsl/auto/utils/tests/test_powerspectrum.py sha256=GERPFKwVssn-ZMJYmfrFDQ70l-v69XJuxCN1wXyLAGw 466
pydra/tasks/fsl/auto/utils/tests/test_reorient2std.py sha256=zHJx9DpU4EoAJ30RPJHqzYt0BC0BXsujHCxMNY_SMZo 463
pydra/tasks/fsl/auto/utils/tests/test_robustfov.py sha256=ckuP9WBfS4HyEhug_jj7CM9JHfsb8f4ASw4kS6HzoAc 450
pydra/tasks/fsl/auto/utils/tests/test_sigloss.py sha256=c8z6RfoyhfbZZbIALtprcJ_i0nFsXD3DK2FyckZZNNw 490
pydra/tasks/fsl/auto/utils/tests/test_slice.py sha256=hlQBYHBbWcYtQVB1j0wjmaiOL3hmUXUQbXCLGmWFiNg 698
pydra/tasks/fsl/auto/utils/tests/test_slicer.py sha256=cE788pJJKvWgMTwHShW4vhXdlBeviQvfI8lq711lGIk 612
pydra/tasks/fsl/auto/utils/tests/test_smooth.py sha256=xYg0rKKnxSlBxuTUK99CjZQ7wdTwPougbEl9dMBnTN4 1172
pydra/tasks/fsl/auto/utils/tests/test_split.py sha256=zZfS3XR-Qavw3dRxv2y6Q2uvBvK63de-KwG_7loNG88 433
pydra/tasks/fsl/auto/utils/tests/test_swapdimensions.py sha256=6zC_6o1pLc7msWPfFMfug8M-4KKM3-u3x7bSeV8Qdv8 470
pydra/tasks/fsl/auto/utils/tests/test_text2vest.py sha256=bt-2f_G-D7GvN3d35BNcAEoKBs8SoPHT-kucrEoq198 729
pydra/tasks/fsl/auto/utils/tests/test_vest2text.py sha256=1gouM-7TNIu6tj3u-w3H3ViAQpjE3ryRO97ytTN5Vus 742
pydra/tasks/fsl/auto/utils/tests/test_warppoints.py sha256=3VfUEGBi52rSx5ot85j_LoRCludkThbwRTyjGEFP72k 1152
pydra/tasks/fsl/auto/utils/tests/test_warppointsfromstd.py sha256=P5VEOHQkne3CuIZ_5Cj3oMn_YGOc58bcgrb7dgM4zn0 1194
pydra/tasks/fsl/auto/utils/tests/test_warppointstostd.py sha256=x9hTxvjEOBYl5Zu9PzXM0pBl57gk_L_xQbtv4MECPfQ 1232
pydra/tasks/fsl/auto/utils/tests/test_warputils.py sha256=u0wX8_r1YQ0MHCdKT3J6iW_jSKKGEpgI-drL_SWK_DA 871
pydra/tasks/fsl/v6_0/__init__.py sha256=V3Fju8OHbuJoGeoX37uZmDNy87PPHP6N6MnAJDLEc84 1568
pydra/tasks/fsl/v6_0/fast.py sha256=tOshHYVBlJ9xnhBpAZ7hbP3rIwZzxLhf-4arW804i6Q 5677
pydra/tasks/fsl/v6_0/maths.py sha256=oGcnj21W8VsAX43mK3Psa2tVtSuRZmZ05c4hb1VqNto 2953
pydra/tasks/fsl/v6_0/susan.py sha256=E-NYC8JG16Dv6OaK7c5XaP_N4xuXlRcCubzlMFqWawU 2444
pydra/tasks/fsl/v6_0/bet/__init__.py sha256=2DHVZ7SXO9D5QgMg3N6NeXAFysThHOw0-HQIvWfjDks 158
pydra/tasks/fsl/v6_0/bet/bet.py sha256=54gUXmkgkGWHiYtFnLiAcAcBa7Nm5JnZYt6PDteem8g 5697
pydra/tasks/fsl/v6_0/bet/robustfov.py sha256=5a_g0aKOpcS04X2dbEb5G83whmDoRlAT5DivWCczX1k 1536
pydra/tasks/fsl/v6_0/eddy/__init__.py sha256=bTQF04hUw6G8MadkpjQzSVV_INinWL0J0v3DRN58PpQ 236
pydra/tasks/fsl/v6_0/eddy/applytopup.py sha256=3FNRhYSfhL8lUFxSOtnZ4sPQLWcVZd9f5cvqUIsXkus 5335
pydra/tasks/fsl/v6_0/eddy/eddy.py sha256=UZxTbx5zY7G-0K80vweJDi8A1kHFNrm1aDHo-FHBOrA 12618
pydra/tasks/fsl/v6_0/eddy/topup.py sha256=7n13GghRECx8FiXL1irgiKTEV7HCxMkxw6tgSksA6YQ 7250
pydra/tasks/fsl/v6_0/flirt/__init__.py sha256=Id3CInxunkYHwln3D3VCyZsVhIymHHEHC261g52tLRE 491
pydra/tasks/fsl/v6_0/flirt/convertxfm.py sha256=2xUkuc9eyeSrF7WVCRSem5WPL8zjM2CcJC8DIVdoC6E 3931
pydra/tasks/fsl/v6_0/flirt/flirt.py sha256=NW4wNdEO7pQGgMq0-0RbmOdX6jx2wZSq8lcj4bEPl8E 5463
pydra/tasks/fsl/v6_0/flirt/img2imgcoord.py sha256=OIQlXfiza9QtMuRH-ryAuJfA1tLhD7P2m37A2EHfFgk 1374
pydra/tasks/fsl/v6_0/flirt/img2stdcoord.py sha256=GW4Ww_uwR0T8K2VW_t9AO6qu7SC8Fpxlgm1UrIZYDs4 1337
pydra/tasks/fsl/v6_0/flirt/specs.py sha256=VFY8xoVg8z1bp-yy8cL3iQfrfM3V9b27gRxhrfhH4z4 4832
pydra/tasks/fsl/v6_0/flirt/std2imgcoord.py sha256=dQ_qWite2WCtwYn2ACs8JrvMfyKq9IEb5gJc1WDRsng 1337
pydra/tasks/fsl/v6_0/fnirt/__init__.py sha256=ZarzvUsyPQmzIGvwfosnCfBawqMf0c6XA1S_ul_wnGI 430
pydra/tasks/fsl/v6_0/fnirt/applywarp.py sha256=nrH_YKNpmzTbC_5HBh3YMZ0UK02T_-uCy91p12Qsk5U 3786
pydra/tasks/fsl/v6_0/fnirt/convertwarp.py sha256=VKhNw3nyAVi8TOd6bxequP8SLfHoX24ocpQXFPLkLb0 4679
pydra/tasks/fsl/v6_0/fnirt/fnirt.py sha256=dZ6UoirAHxdR1zrjNgRPxLQ7H1rtTje0YTbFbafWG7Y 7365
pydra/tasks/fsl/v6_0/fnirt/fnirtfileutils.py sha256=kKcdBSw7i0RZm97NiNT1Qx8_sGdeTLij21C9XnWZdAc 3063
pydra/tasks/fsl/v6_0/fnirt/invwarp.py sha256=FseQwH_Vey5JPFXcMi9Yx6-QT0p3ZfNwyiaLClQRsEY 2513
pydra/tasks/fsl/v6_0/fnirt/specs.py sha256=HJdXMO87DMDIdnyIezBb24yjSfO3mcmplbOVcqnY9gI 268
pydra/tasks/fsl/v6_0/fugue/__init__.py sha256=E4P4AO-xSqvGZ8rFSyLHsSK8LHBVhsWzwpoClNZtfcc 342
pydra/tasks/fsl/v6_0/fugue/fugue.py sha256=-2ndsz0uKjMXAVZp_1L7CH5qchmTLN9exIVtN0ahbdM 6122
pydra/tasks/fsl/v6_0/fugue/prelude.py sha256=BbfozrtMpWNieL1hYMQbLtKHWcPkC36y3pVBzI4cvBo 4871
pydra/tasks/fsl/v6_0/fugue/prepare_fieldmap.py sha256=fMUXabb3NReoqeDrTKDM9E-IKe7v-D-PSVoxgYPVbRk 1858
pydra/tasks/fsl/v6_0/fugue/sigloss.py sha256=CUDipXO_Hdyt66roC24mSC5uL-JwpysQVWynGbxsKHY 1564
pydra/tasks/fsl/v6_0/utils/__init__.py sha256=rI61_jwZ-9O1eeigZ_1szjDjTSe2P2GhUGOpZFliyxo 932
pydra/tasks/fsl/v6_0/utils/chfiletype.py sha256=pQE-zXBEm_sDwuKMYTyubUUuhxV9OgehnD3NMJ_grGs 2779
pydra/tasks/fsl/v6_0/utils/fft.py sha256=FpDcej3hEKgRPxjdKPoBJeaWSNAYUd_14bxvlcELlq0 1308
pydra/tasks/fsl/v6_0/utils/info.py sha256=dzyG4Qj9TIuxy0mxrF9hCzgVzP9LcUf6sMVmndR8ZwQ 3881
pydra/tasks/fsl/v6_0/utils/interleave.py sha256=jwyYPQpfdK0R5VH3mQq1z2VJxoey8b-yOrk9IKfSPWM 1486
pydra/tasks/fsl/v6_0/utils/merge.py sha256=u90SP7VgcNthEBEwXZr4cFmd6ZMMmChx82QKZR5gCm4 1715
pydra/tasks/fsl/v6_0/utils/orient.py sha256=VdNjm2RdbYsgVu9l9gkDNdqBZyawSvlhnDGjg_qCbYU 2854
pydra/tasks/fsl/v6_0/utils/reorient2std.py sha256=rwhD_--zKeQPCF0XzLXOZoeJD_8uCrrsQtodmVE10SA 1472
pydra/tasks/fsl/v6_0/utils/roi.py sha256=5q9lyR7cRy8BV1Vt-tYXdZbgkxlXuDGFUskf8rP95P4 2827
pydra/tasks/fsl/v6_0/utils/selectvols.py sha256=xwiLB4SADJAxHYwjZBjCb1PpRL9QnIpfcgfrx68sUvM 2445
pydra/tasks/fsl/v6_0/utils/smoothfill.py sha256=sFVpF5DW2uJl72hUs5_zouOYLpfxnTlmWYmbE4bFgrs 1256
pydra/tasks/fsl/v6_0/utils/split.py sha256=FioQjv-72CI7iuxDQA4HWss1tt3LwO2z9Jck-ggX9BA 2427
pydra/tasks/fsl/v6_0/utils/swapdim.py sha256=fCTxAsdhg0eMuEymMO0avQJL8Aq0mXKX1ZB5UR-_zII 1927
pydra_fsl-0.1.1.dist-info/METADATA sha256=0O-vCsEFDB4d-rLFDRCZv61d6eUXCXpxpcHeQtS32Zo 23882
pydra_fsl-0.1.1.dist-info/WHEEL sha256=zEMcRr9Kr03x1ozGwg5v9NQBKn3kndp6LSoSlVg-jhU 87
pydra_fsl-0.1.1.dist-info/licenses/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
pydra_fsl-0.1.1.dist-info/licenses/NOTICE sha256=_SeLYdqw3eR20PYFMrcX3UKHci-LahhTZFLiCx-mwAc 782
pydra_fsl-0.1.1.dist-info/RECORD — —