sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
bc3d938e65a61251b6fff6909af3921c3cf3d48a39df749b8544e22cdb7273b0 | Python | 44 | 1 | from .resnet8_supernet import resnet8_cifar
|
bf4f774f9f5ec05fa0f963c3121e32a555334b362308a90dcfb7bcc7d669ec4c | Python | 44 | 1 | from .predictor_onnx import SamPredictorONNX |
03b4d6908670a8d7c194f9f9abebd673f1477c7887b7dbc71e670d0f037e68a3 | Python | 45 | 2 | from . import base
from . import signal_drift |
35049f9db27387717cb3ae08e7e00b2101662b5f45a8d655280353fe416cac77 | Python | 45 | 2 | from . import dataset
from . import genotype
|
9fff12db03589f3e3af31bae06559b2a201af2f1005a6df60994d716efcf71c1 | Python | 45 | 1 | """Packaged data files for CellAgentChat."""
|
aca0237af5637ec428316f0b816a0fadfc230fc6a4d9408f085b926c2021a0f7 | Python | 45 | 1 | """Directory for storing test data files.""" |
4583fbb54faca18051d22da5306a90d9e945b7d4dfa898e8d57560386a03b9fb | Python | 46 | 1 | # Left empty as part of 2023 models migration
|
7a61f84bee6a28f57b2913a9090aafc2a3e273969ceb582cec196af65f3087c2 | Python | 46 | 2 | # -*- coding: utf-8 -*-
"""Mesh utilities."""
|
83969d6ac19b39eab701665c07eea4ae6c519f2ff34d12d0c65dc8904d805761 | Python | 46 | 1 | from . import imagestack, sparsepoints, lines
|
d2121d6b5f42f61956d2d708e6660b365cfd2dd23b778c0dbe82f0b00cb2e062 | Python | 46 | 2 | from . import celcomen
from . import simcomen
|
17d515f75e44112ad71515c0832e7a13a8e9f789147858fe3d4a03daf3d3fa38 | Python | 47 | 1 | from .visualization import VisualizationWidget
|
35b132f38f116bde961fb5aedc2768d0caaaf9d61d697ddc5c57ca5b629a6667 | Python | 47 | 1 | from .dataset import MeshDataset, BipartiteData |
3654364b8f1e46abbde4fc9e65f32b7497325d247ca7d54ad0e9ed07e0132e63 | Python | 47 | 2 | from .dropout import *
from .keepalive import * |
45e5aeb148f92c8ded15b031e7f5845ef02f30055283eccf584f3643f7e27ca1 | Python | 47 | 3 | from ._image import Image
__all__ = ["Image"]
|
5aa8cd062de9db3533cb19df2d9f69c6d8bcb89de3fee56b8b1fe612cee3cb87 | Python | 47 | 1 | from .preprocessing import PreprocessingWidget
|
605a7da53dd07f787f0adfcaa4ace15cb1b8fd3be2db67939e0909bd50d3cb7f | Python | 47 | 1 | # Left empty as part of 2023 models migration
|
684140e7e8b6e089ce3a880dd9ce94a58b019edf7f0aac13c574cd08a1b68cd1 | Python | 47 | 1 | from bism.backends.load import get_constructor
|
0a94c19767d88b9b56bfc0bdf06f17c7aa044441fa6b89a1d4873f07a3d18c06 | Python | 48 | 2 | from .dataset_split import *
from .seed import * |
fc15d94c34626d45ebeafb8f611bce28b8313044f42641e96ddaa3eb7e663dd0 | Python | 48 | 4 | # -*- coding: utf-8 -*-
__version__ = '0.1.1'
|
0d2ecea9ed347766f8eb9196acca93da2b40cf4f395e9d8ba5388fc8508a4b3d | Python | 49 | 2 | from .base import Inferencer
from .video import * |
3eba8f78d2c1fef2bba3ed5ad9b0671abd6a397e09c9179d91db61112df235bc | Python | 49 | 2 | """Version information."""
__version__ = "0.1.0"
|
497c0f753addbb85fa131d4d1f1529d8f29c8af85d3be891e7471b465a9bb7e9 | Python | 49 | 5 | # setup.py
from setuptools import setup
setup() |
6f86613ffbe2c544be0b293d8d95a1f9468025730d3542e4e6bf7bf13356d88a | Python | 49 | 1 | from causallib.contrib.hemm.hemm_api import HEMM
|
7fc917edbc1aea9c5e7fefac3ae5f1f6c5d6dd7e00e4b8208f9d5a8a609016ab | Python | 49 | 3 | """
Classes for working with arrays of data.
"""
|
8319b26d1eaaf5b0e937060a576523dd2948b350c4bf41b507dd57d6724f25bc | Python | 49 | 1 | hiddenimports = ["musclex.modules.QF_utilities"]
|
9e0d0809a2aadcbd7ce25eda15a1ca7c443c26d1d8cc2f76d5dd42be553da0ea | Python | 49 | 3 | """Nelpy version info."""
__version__ = "0.2.2"
|
b4ae3d385265ff7afb606d1315489a266cdb758624389eddeb7e7fbcc426f98b | Python | 49 | 3 | """BrainSpace version"""
__version__ = '0.1.10'
|
342908077896cb2a92bc2f88a3cfee64b42c04b8bf7b9c03e8accbd368bb159b | Python | 50 | 2 | from ._validation import *
from ._lineage import * |
7214ffd9cd6a78e3ba3177403f6fdcee466a449937cf6726512c9f7cbfdb3dc4 | Python | 50 | 4 | # fmt: off
# flake8: noqa
from .teta import TETA
|
91932ec2c6faeacfa77c620b7d852b76101871a8dd22a2f35bde2e5148e0bccc | Python | 50 | 1 | """Causal model evaluation plotting functions."""
|
bbc69012d0f538a61c8daed7c9aecb490cb58d9e1231a834494dce74fd7c2005 | Python | 50 | 1 | # WLS IVIM fitting by Devguru Tiwari, IIIT Nagpur
|
ec4857762d3af1c5ad916b2bc8f30d21ab353941dcce0f5d76482c6813e9f64d | Python | 50 | 3 | import cv2 as cv
print(cv.getBuildInformation())
|
f99f717f71935cdfe886e85f75b0d5a05da8f38c246308fcd82be59038d40d6a | Python | 50 | 1 | """Tests for Model, DataSet, and related tools.""" |
19cc7e9e9967576cf5bbcd60b869b0846cf7934c746b1f9d00473d31e0c31078 | Python | 51 | 1 | """Center refinement algorithm implementations."""
|
3906c61fd9eebef7a07d40abffb57e40fcc96402998f786a7c1e8079a73c55e8 | Python | 51 | 2 | import fusion as fusion
import modules as modules
|
59edc2dfe0d3f0edd3af3c35ccdaf445c5b6e0cf5a3149358385bb2d100ba29e | Python | 51 | 2 | from setuptools import setup, find_packages
setup() |
affbd83452eb04d12be8f1d75f12668e3dfcf8f563b2ee67221b4cb766c2257e | Python | 51 | 3 | __version__ = '0.0.1'
from .trainer import Trainer |
91cf658163ecae3d74e9d2197cb613e6a3a35fddca746dfdc756f087be7222b8 | Python | 52 | 1 | """Public APIs for reusable programmatic access."""
|
ce67757616dd70424b3c2d9ed2eff1fb2d6540d2b8de56799362b79f4876dc50 | Python | 52 | 1 | """Structural audit only; no hypothesis testing."""
|
dddc166675658a90b9a4e3ae2e9ceb644970ba2e98dc4b852f557be8467f1095 | Python | 52 | 1 | from diffxpy.fit import model, residuals, partition
|
e547507ef9b036c3fca98cf522c5f0dfc4c0145485cec19ee1ddbd77bde35ae2 | Python | 52 | 2 | __title__ = "impedancefitter"
__version__ = "2.0.2"
|
cd9a9e17ceaca3f9d1068cc717f66a8c494d8b1fe52ccdc019681b003daa44c0 | Python | 53 | 1 | from .probe_visualizer import ProbeVisualizerWidget
|
0abeb1fe3dc4489d3f9f3d7199a433e3b8dd9fbd914d11b9982140ef9e36317a | Python | 54 | 2 | # -*- coding: utf-8 -*-
"""Input/Output utilities."""
|
d59f1cc05d0d349273973bc2c1623f3878f3dd1143ca75fd56ed6328780ed3e1 | Python | 54 | 1 | """A Worker is the base NAS Search Strategy class."""
|
d9a3d9def04d58d98c393ae028312923352de5bd8476d7430d8dc92344aff09a | Python | 54 | 1 | """Test suite for artifact_identification package."""
|
575d15f884ee020167eb39bd3d56571f4ed0f5418398349c94e13a75e90d2c80 | Python | 55 | 3 | """
Support for working with delimited data files.
"""
|
d9298ce4e6f744bf1b9ed3bc55543f10dcda716ec028811a535c2235c7823e52 | Python | 55 | 1 | from geoseg.models.MixerUnet import ConvMixer_UNET_down |
149c987fade2218e788e497fc6363c3f83b09937ef8d3ad482eb50010f62776a | Python | 56 | 1 | """Tests for `nems.layers.base.Layer` and subclasses.""" |
995f46da7f85f21985a8910f5fff84c7d7a02b27c5a180348e130135a4bfa05a | Python | 56 | 4 | from . import main
if __name__ == '__main__':
main()
|
a2868174435082a60ec384eb358c87be4f5d9cb4777b155b217ad065a52e8d3f | Python | 56 | 2 | from .bimodel import BiModel
from .biloss import BiLoss
|
cdef9e59243b78517ef3b5119ace831138eda0f4eaa111783e736290cd6d200d | Python | 56 | 1 | from .adversarial_balancing import AdversarialBalancing
|
e717e6a90f4b21b83f6d6ebb663c5e231650decff46dd877a3ce55c8eb200498 | Python | 56 | 1 | from .tensorboard_hook import TensorboardImageLoggerHook |
1aacd6a6d686f075a101646a339403077620e0bf83c7dd135f8c4ef71c2b3d89 | Python | 57 | 1 | """HPC configuration factories for workflow managers."""
|
a72763ea27f696e5c02c7a45250f0ea6c503359ff7bf08a1a72e3f378382df07 | Python | 57 | 1 | from .sklearn_scorer_wrapper import SKLearnScorerWrapper
|
c258ec11c1e3d90557f3a36ca2474649c7009b04d2643449dc89d8886b504c15 | Python | 57 | 4 | from _cli import main
if __name__ == '__main__':
main() |
1f61c065f69219ddc9d5997e6cd30bd0da51f0db21890de93636aa367bf00bac | Python | 58 | 1 | from . import analysis, dataload, plotting, preprocessing
|
41a91dde0756312296f6e36622141ed037c1bca96c8b970743228dc31896f17d | Python | 58 | 2 | def get_content_root() -> str:
return "e_pretraining"
|
5e8e4654b8210ef5a7d320d12f5395f8d24b6c4666152b2a3318140c0d7c3f91 | Python | 58 | 3 | from .score_bcf import score_bcf
__all__ = ["score_bcf"]
|
84a40d93491ffcb0091126b3e3093c046957356fc3442898e1b57cc1e3f60cb1 | Python | 58 | 2 | def get_content_root() -> str:
return "g_time_series"
|
a6caf1d8709c8749e62e5c47f084e1c1a552587684df6976101a32ed5472e17f | Python | 59 | 2 | from kb_python.logging import logger
logger.setLevel(9999)
|
a956eed66f8c52d5ceeb0b95e000f0d0a23ec57284bf997006e9794ae59a41e9 | Python | 59 | 5 | '''
'''
from .subjects import Subjects
from . import defs
|
bc0d8e2a2677592e7902023115c141057dad531101ee398237c5c27ea7c17794 | Python | 59 | 1 | from .visualization import load_base_data,vis_scatter_label |
dc826727a3a362f047be38a030ac5bdf6f153345eb8cdcb0cc5b2dc662b51638 | Python | 59 | 2 | def get_content_root() -> str:
return "d_array_output"
|
e384f7eac5ed4f5e063c46d4dba91ff524ebcb5b095a4ed5f613519d1fe3b196 | Python | 59 | 1 | """Module for defining the schema of a magicgui widget."""
|
f792e91954bd3a57db8944705bc4952449b7b9b0b7f54b2e9dd05a7ff0b17d5d | Python | 59 | 2 | def get_content_root() -> str:
return "f_image_output"
|
00405f6a0041571874863a56c151f31375b723d2f988a1d03795626492c5835e | Python | 60 | 2 | # -*- coding: utf-8 -*-
"""Pytest library of fmri_tools."""
|
3b65d0ec813617e4f5ed799e21a8a24c5096fa1059f1e06fc81d032a6ee8f30d | Python | 60 | 1 | # TODO: tests for base class. get/set, freeze/unfreeze, etc. |
90ad15f461060a7a197f0f4dd4c1009bf8c6ea772da3b746e84742b05a350b9c | Python | 60 | 1 | # tests part of /benchmarks/baker2022/test.py, omitted here
|
d7807f1fb801ed8e040b5241d1807b757b50a41754e89703deae226e1e827df2 | Python | 60 | 4 | #!/usr/bin/env python
from setuptools import setup
setup()
|
440bce615b06dff3abeecb6d88950c76f922eda79ecc3f3f7f2229f35e488a2b | Python | 61 | 5 | #!/usr/bin/env python3
import arbor as A
print(A.config())
|
725f4b7b6411f3cda2488ed29034d067aaebe5162d70fe2558f3b89c51ae6b4e | Python | 61 | 1 | from .bicause_tree import BICauseTree, PropensityBICauseTree
|
9483818899a2f17f84597548c7f3a8c528146741582a5648f215d59cb5184c94 | Python | 61 | 4 | from .main import main
if __name__ == "__main__":
main() |
b5d25a661eea1504587d8f0f8d2d96c5fe5463c19d53232d8bf2618d891daef7 | Python | 61 | 4 | """
Created on Sat Aug 10 11:36:11 2024
@author: mcanela
"""
|
ea8f8ac0113b0e299d90fd55da235fced209e0aab10159358788003dd6382bdf | Python | 61 | 2 | from .EEGNet import EEGNet
from .EEGTransformer import TCANet |
1d58fe1d92fc5a3caf4326ced6bcf3fd2f7caaa45d1dabf786067911d52f7750 | Python | 62 | 2 | from .pyXdPhys import Stimulation
from .pyXdPhys import xdphys |
2d9321b48f081db91a1d43ba43005bc3c57e46d787c5580a162cfc87cf51e836 | Python | 62 | 2 | def get_content_root() -> str:
return "c_sequence_output"
|
5dee3856972f895eed2b3fcd3a9e268243c583c034a7051a7244fb5ecb19afd7 | Python | 62 | 2 | # -*- coding: utf-8 -*-
"""Pytest library of fmri_decoder."""
|
9326628335802ed10036e286ddee9ab4abaf9169f65b2e5b52fafdfc1875fe32 | Python | 62 | 1 | """Runtime shell templates shipped with ChemGraph Academy."""
|
97f19dd1d51a229d6f4bbdcc164ae3c36190867ea01d36a8f48164426e8995cd | Python | 62 | 3 | from .db import *
from .convert import *
from .train import *
|
c56295e4472c6b3319ab8ea7dcb13277989f3dcc14352d2d61a4b0341694b853 | Python | 63 | 5 | import bx_extras.fpconst as fp
def test_all():
fp.test()
|
11ac5f98c3ac4149daed2998c6225b29013d6300305e3ec188f61edb6a1c8bc5 | Python | 64 | 2 | def get_content_root() -> str:
return "h_survival_analysis"
|
8a5cd1f1bf59495288577ef97b4800fedf1d89a550c4b45d5ab3b00eb15530e0 | Python | 64 | 3 | from meanap.viewer.server import main
raise SystemExit(main())
|
e387464292b9895f4c8277a286184a278eba4b2d2bdfc8171108e01b958d32c9 | Python | 64 | 2 | __version__ = "0.1.0"
from .chroma_manager import ChromaManager
|
fc96fda4502163ed5718f22a344222f5271cd0cb4afe971137f00c28ead81f43 | Python | 64 | 4 | # flake8: noqa
from .count import Count
from .hota import HOTA
|
b16622da958e4f6b6c0aa8dfdd651a22828919a2819552fa6c97dffaa3718cdd | Python | 65 | 1 | """Tools for downloading demo data and loading it into memory.""" |
c6aba55a979092998e7114a14c840fa83bdf7812a456aa2f2382095222e554c2 | Python | 65 | 2 | from .tsv import TSVSheet
from .xlsx import update_xlsx_datetime
|
06b426a31798d1f0c8b991a7fd5d2c5d0925102221024268deab427be4df96e5 | Python | 66 | 3 | from .cci import *
from .cellchat import *
from .spatial import *
|
729e02f8f07e3b3e8e4d9f8f2dfe1a9ffb0c8666b37f28c86f07d3ab9ebcba1d | Python | 66 | 3 | from python.__init__ import __version__
__all__ = ['__version__'] |
8103b233c5f0c17bf599908f946f92c6a0f4883e17605d6daf8aabf6b8e06f5a | Python | 66 | 1 | "MEA-NAP Python pipeline — spike detection and analysis steps."
|
be9e0a5070238eb5385b73a60f577bac2e5630ff46b208729efcac46bfa9eb47 | Python | 66 | 2 | from ladyns.estimate import *
import ladyns.inference as inference |
09200fe7c1e852a94e5492508117b60ba47693dbdf8e830d484da4ebc7f35090 | Python | 67 | 4 | try:
from .mol import smiles2graph
except ImportError:
pass |
12849e330cbb79b5fc5a44152581356fac3f241957f111deae1020fb557d2689 | Python | 67 | 1 | from .utils import santo, bin_adata, simulate_stitching, evaluation |
136d467be336eb761c1e1c1788e0e8fda11749431af4e25487b37b6348fc9059 | Python | 67 | 5 | # -*- coding: utf-8 -*-
def compute_tract_counts_map():
pass
|
648213d1890b5e021491fe9a575dd0c6c918b2e28904f22dba06547da07c4d74 | Python | 67 | 1 | """Packaged Agent Skills for ChemGraph users and HPC workflows."""
|
db14048f58c9dfccc456a948e236d9e272784b7f87cd52cddd3c37b48b4ace78 | Python | 67 | 5 | """Unit test package for magicgui."""
class MyInt(int):
pass
|
61b11cda906b56e806aba73b70ce0984b2c06189f546947d746b94c258ceebb5 | Python | 68 | 2 | import datajoint as dj
schema = dj.schema('vis2p_manolis', locals()) |
79a3188fae02ecd4d5c445bf70e9ae7c237c75d61a01b42986557aa7e56a2fa0 | Python | 68 | 3 | from dynamont.__init__ import __version__
__all__ = ['__version__'] |
7a06c10c080341c85dec97f9d4916e91c91c0d5051d46759e8755bc6176e584d | Python | 68 | 2 | from .base import TemporalInferencer
from .temporal_context import * |
94aee2b721970aa1acbfbccbfa1e22329f3666135a8d66ec170e2e1c76886c2b | Python | 69 | 3 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
|
18b66ae1c9d73cdc98e17995b121b968e83b09a89c651bb5c5e2fd5fbd2bc4ed | Python | 70 | 1 | """Runtime launch and MPI support for ChemGraph Academy campaigns."""
|
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