sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
95f0b9a8e55418f3df993b295be064c1a7698eb51cb9fcaab58ecb84cba00648 | Python | 30,483 | 824 | import sys
import os
import pandas as pd
from segment import *
import numpy as np
import h5py
import sys
layer = str(sys.argv[1])
kernel = str(sys.argv[2])
strict = 1
if len(sys.argv) > 3:
strict = 0
#layer = '10'
#kernel = '1130'
motif_ppms = {}
with h5py.File('layer' + str(layer)+ '/kernel-'+str(ker... |
739659621d70ee4d10f55dd086ce33cc20b61c4494f473c09419af7c8b75f708 | Python | 30,484 | 824 | import sys
import os
import pandas as pd
from segment import *
import numpy as np
import h5py
import sys
layer = str(sys.argv[1])
kernel = str(sys.argv[2])
strict = 1
if len(sys.argv) > 3:
strict = 0
#layer = '10'
#kernel = '1130'
motif_ppms = {}
with h5py.File('layer' + str(layer)+ '/kernel-'+str(ker... |
524161b3f8d2892346a09c2b6d2db6f8f524a5ba60f6e8cbd5346991827ac6e7 | Python | 30,538 | 655 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/mimo_v2_flash/modular_mimo_v2_flash.py.
# Do NOT edit this file manually as any edits will be overwritten by the ... |
a8546fe12e246c87cf7c649fba58032cffd17c4535fc75c03abbc457f77b38f7 | Python | 30,594 | 1,023 | import json
import os
import tempfile
import dgl
import dgl.backend as F
import dgl.graphbolt as gb
import numpy as np
import pyarrow.parquet as pq
import pytest
import torch
from dgl.data.utils import load_graphs, load_tensors
from dgl.distributed.partition import (
_etype_str_to_tuple,
_etype_tuple_to_str,
... |
b02b975c4a25a6c91000cab6e9c7deb7c8e2bc3d31a38ada6ee9c6bb1ee35435 | Python | 30,612 | 632 | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# 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 applicabl... |
c68f5bbf4fdf8442e032d3345c6105b814e580eb1947529d8b6e61d516fd0c1a | Python | 30,612 | 818 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obta... |
f6c260c7c2326adc3b5a4c9993158d4e841907ddbd51e48dd02060fcf7a065a8 | Python | 30,645 | 837 | """
Fully automated EEG-only discharge detection pipeline.
No gold-standard frequency is used anywhere. The system estimates frequency
from EEG using ACF bootstrap and/or CNN+Attention models.
Methods evaluated:
1. HPP (handcrafted evidence, bootstrap freq)
2. CET-UNet+HPP (CNN evidence, bootstrap freq)
3. HPP ... |
7ad83b29454c38b0a3b150f301b667d172fdb493b9a79aaae7ff83307c213bb7 | Python | 30,655 | 808 | """
Train the unified multi-task CNN for joint PD/RDA analysis.
Tasks:
1. 4-class subtype classification (LPD=0, GPD=1, LRDA=2, GRDA=3)
2. Frequency estimation (log Hz, masked for cases without labels)
3. Per-channel PD detection
4. Per-channel RDA detection
Multi-task loss:
L = lambda_sub * CE(subtype) + l... |
e1f75911d41f18c7b1982369c31bdd49043447abfd20447ddd36994fc0620419 | Python | 30,665 | 926 | from __future__ import annotations
import math
from typing import Any
import gymnasium as gym
import numpy as np
from gymnasium import logger, spaces
from gymnasium.core import ActionWrapper, ObservationWrapper, ObsType, Wrapper
from minigrid.core.constants import COLOR_TO_IDX, OBJECT_TO_IDX, STATE_TO_IDX
from minig... |
7642bac43ad19352370d01b32e991652c73132baa4adc7a1e89a1de425725631 | Python | 30,666 | 807 | # Copyright 2024 state-spaces/mamba org and HuggingFace Inc. team.
#
# 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 ap... |
c535b1df996690cd528733e1aabe9b8fef6aeeca9b5c2bd620b7f2275153d670 | Python | 30,667 | 815 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obta... |
57f2b9e16e008deed3f61e6d78ffa5d19e431ee9d06fe972aa50983d6b6e35d0 | Python | 30,735 | 823 | """H&E stain normalization and augmentation tools."""
from __future__ import absolute_import
import os
import sys
import multiprocessing as mp
from io import BytesIO
from functools import partial
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
import cv2
import numpy as np
import slideflow as sf
... |
fe1c820fd074041f73dfdbdf88b3a46c04a40eeebf9bb6351d10af183ac0cfe7 | Python | 30,765 | 688 | # Copyright 2021 The HuggingFace Inc. team.
#
# 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 ... |
6a4bac9f625bb382817877a25622d43a42720bb29c3420ab1eae54fca57c10c3 | Python | 30,780 | 696 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/canary/modular_canary.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... |
2669351f28445235fe9f100c1affbc00fd2ffbeab317d00f99a3eb46c56a02f9 | Python | 30,792 | 655 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/beam/modular_beam.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
c5a746ae783e95a27c2040d9f7578df4f305374df960ab0785affa788937a96b | Python | 30,839 | 897 | """
Spatial Extent Labeling Viewer for PD and RDA EEG Segments.
Generates HTML viewers where MW can label spatial extent (% channels involved).
The algorithm predicts a default using optimized thresholds, and MW can accept
or override with a different percentage via N/18 channel buttons.
For LPD/GPD: PDProfiler chann... |
c541c2d8d226cce46eba54a064bd0577a711ec215030ffbcf1dc0d32de58fd63 | Python | 30,909 | 854 | #!/usr/bin/env python3
# -----------------------------------------------------------------------------
# Copyright (c) Yongning Lei 2024-2025
# MIT License
# -----------------------------------------------------------------------------
"""
Link fLoc events.tsv files from sourcedata into the BIDS func directories.
For ... |
8edb61e419ffefeb9d2945fb8c8eb64456bf10c8e8ecbf37875296b280ee5193 | Python | 30,955 | 730 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/lasr/modular_lasr.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
39a3cbea769482be86a38cacbc456f59332b469c5767bad692ca3696a0d1b418 | Python | 30,991 | 834 | """
RDA Optimization Harness — frequency estimation, channel identification,
and GRDA/LRDA classification via Leave-One-Patient-Out cross-validation.
Training data: 222 multi-expert RDA segments (GRDA + LRDA) from 24 patients.
Gold labels derived from median of expert raters (LB, PH, SZ, +MW if present).
Run baseline... |
fd8d8d8425e0db02d35211b93eac63d307b156cf0fbe8390107e1223e3c1cea3 | Python | 31,017 | 843 | import os
import torch
import slideflow as sf
import imgui
import glfw
import segmentation_models_pytorch as smp
from typing import Optional, List
from os.path import join, dirname, abspath, exists
from threading import Thread
from tkinter.filedialog import askopenfilename, askdirectory
from slideflow.segment import Ti... |
63c8d5016dfc1030775b49a3461a5e8e87a2a38b42bbed9e9a25ad17327011c6 | Python | 31,030 | 925 | """
Module containing different generative models
"""
import numpy as np
from scipy import stats
from basic_functions import *
def oneTauOU(theta, deltaT, binSize, T, numTrials, data_mean, data_var):
"""Generate an OU process with a single timescale.
Parameters
-----------
theta : 1d array
... |
7686ede9b8498e071e45a9273ec1522735cf508efe428cfe21167ab5d7d587c4 | Python | 31,038 | 856 | """
Core OpenBCI object for handling connections and samples from the Ganglion board.
Note that the LIB will take care on its own to print incoming ASCII messages if any (FIXME, BTW).
EXAMPLE USE:
def handle_sample(sample):
print(sample.channels_data)
board = OpenBCIBoard()
board.start(handle_sample)
TODO: suppo... |
393b136a47470424b4a446a4b6097448dd62547f546c97572db6a71a5790fc24 | Python | 31,039 | 959 | """Wave tracking by connected components
This module contains tools for tracking waves in binary neural
activity data estimated from 2-dimensional calcium imaging data.
"""
__version__ = '0.1'
__author__ = 'Michael H McCullough'
__status__ = 'Development'
import os
import numpy as np
from scipy import ndimage
from s... |
b86e6a607bc73f2cda3679ccc4aaf8c34e71069c4e643ecb0c3215877454d54b | Python | 31,089 | 660 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/cosmos3_omni/modular_cosmos3_omni.py.
# Do NOT edit this file manually as any edits will be overwritten by the ge... |
4077067624008724e5b41d391c67aeb63bd1eb636ef1bb2f81041d2f698f89a5 | Python | 31,183 | 708 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/ernie4_5_moe/modular_ernie4_5_moe.py.
# Do NOT edit this file manually as any edits will be overwritten by the ge... |
810ab9ea8bb8b873709f3615448be5d57796c2785ea5685a99e3d0528fd360d6 | Python | 31,218 | 869 | """Computes spherical conformal mappings of triangle meshes.
Functions are adopted from Matlab code at
https://github.com/garyptchoi/spherical-conformal-map
with this
Copyright (c) 2013-2020, Gary Pui-Tung Choi
https://math.mit.edu/~ptchoi
and has been distributed with the Apache 2 License.
Notes
-----
If you use thi... |
aad7f016450e198c1d5a4f9bab840ee92aa175fbcfc5ed3b421a9524ef86f123 | Python | 31,221 | 682 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/flint/modular_flint.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
ec646d11294c5abfec8ba9aec2d52f40d2ed4569294f221020212fc5bd002b69 | Python | 31,335 | 835 | # Copyright (c) 2025-2026 ByteDance Ltd. and/or its affiliates
# SPDX-License-Identifier: Apache-2.0
import difflib
import inspect
import logging
import sys
from collections.abc import Callable, Iterable, Mapping, Sequence
from dataclasses import dataclass, fields, is_dataclass
from functools import wraps
from typing ... |
63b1b0bed132a725edb1b8d5eb73668f7b1d5d27de2e8f1bbdd5f254f4ce0de6 | Python | 31,338 | 737 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/deformable_detr/modular_deformable_detr.py.
# Do NOT edit this file manually as any edits will be overwritten by ... |
46701547efd5abbab06ef3a6b5b989a417da75f59c21419cf17d44754dc6d83d | Python | 31,357 | 812 | """
HPP parameter sweep for discharge detection (FAIR / EEG-only setting).
Uses CNN-estimated frequency as the period prior. Tests different evidence
types (hpp, cet, and combinations) and DP parameters in a staged sweep.
Stage 1: Compare evidence types with current best DP params
Stage 2: Sweep DP params independent... |
43b781f311288c1de095691b91f58f4cf976b7cc2ae4bd2b7c40653cfc83d657 | Python | 31,416 | 708 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/granitemoeshared/modular_granitemoeshared.py.
# Do NOT edit this file manually as any edits will be overwritten b... |
7f3b3b42ce9e9c8f24b263bafdbf73de6f3aa8c2443e66b871a9e1a503511e24 | Python | 31,474 | 707 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/florence2/modular_florence2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generati... |
b068ec7d71a49c17433d83a0de1cbcf0da5cffe32d9b458e996d456a1d73ba9b | Python | 31,492 | 713 | # Copyright 2022 The Salesforce Team Authors and The HuggingFace Team. All rights reserved.
#
# Licensed under the BSD-3-clause license (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# U... |
aa19e50c79c8ea6ae7cc8a2b3b7846034c6378a171dfebfcc588752ab6015520 | Python | 31,494 | 925 | __author__ = "Giovanni Sirio Carmantini"
__version__ = 0.1
"""
"""
import itertools as itt
from collections import Counter
from copy import copy
from typing import List, Union, Tuple
import numpy as np
def as_list(arg):
"""Convenience function used to make sure that a sequence is always
represented by a l... |
682028fd62f04e7bd708686745d0d9a22bbb082d2775c699ee4ed07a70ee53b5 | Python | 31,589 | 727 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/deformable_detr/modular_deformable_detr.py.
# Do NOT edit this file manually as any edits will be overwritten by ... |
042ecca60a62c6861962456ab03480d4c228747251b77be9fe9511a00b0e9fd1 | Python | 31,629 | 643 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/glm46v/modular_glm46v.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... |
077463499b4170a3ae8506a555bb2da919353764f610f628dbda04e871c7cef9 | Python | 31,705 | 711 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/longcat_flash/modular_longcat_flash.py.
# Do NOT edit this file manually as any edits will be overwritten by the ... |
f5d98dfff239d98befec5bad48aac7257975319ff8604a0f174df8b28442813f | Python | 31,727 | 697 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/mellum/modular_mellum.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... |
5b83655ff773413b5a25e5db3b3b782b5b2e105fae88c0ed92727195963174d5 | Python | 31,730 | 904 | """Model and trainer configuration for MIL models."""
import numpy as np
import os
import torch
import slideflow as sf
import pandas as pd
from torch import nn
from typing import Optional, Union, Callable, List, Tuple, Any, TYPE_CHECKING
from slideflow import log, errors, Dataset
from ._registry import get_trainer, b... |
16610e739deb9aafa177d34a1240b262a21a2664c219de861f04d9e65666828b | Python | 32,069 | 785 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/jina_embeddings_v3/modular_jina_embeddings_v3.py.
# Do NOT edit this file manually as any edits will be overwritt... |
ddad19bde0791b8a7d556290fc9b65a8996866709582102b7d44857fcba68319 | Python | 32,079 | 796 | import numpy as np
import scipy.ndimage
import skimage.morphology
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.mixture import GaussianMixture
import skimage.measure
import matplotlib as mpl
from plotly import figure_factory as FF
from plotly.offline import download_plotlyjs, init_notebook_... |
9cbd8dcb690fe13108dbcbf7fc0499cdf252450d6a100bdcfe29d127fb2b9e6f | Python | 32,109 | 1,031 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obta... |
1c5c5adcedc3007c10d13c44b611a5baca588cd5f7c8bda6afa66c73518373eb | Python | 32,147 | 724 | # Copyright 2022 Meta Platforms, Inc. and The HuggingFace Inc. team. All rights reserved.
#
# 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
#
... |
6ad4883ec78fe3c0b46a56267ff86c340e64f1854dfddfe4d706d6a54b4db444 | Python | 32,166 | 782 | # Copyright 2022 The OpenBMB Team and The HuggingFace Inc. team. All rights reserved.
#
# 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
#
# Un... |
b6685bc202805fb9598422c12753ee2f692cd0ee958c8522d5470d084fa6ac30 | Python | 32,200 | 887 | """
Discharge-locked topographic localization viewer.
For each PD segment with discharge timing labels:
1. Load 19-channel monopolar EEG (200 Hz)
2. Bandpass filter 0.5-20 Hz
3. At each discharge time, extract GFP-aligned peak voltage across 19 channels
4. Average the aligned voltage vectors -> mean discharge ... |
617f1f7bd6c75a8f09bad4001cf4fe2f556497be632625c9a86c7ca6497315f2 | Python | 32,221 | 738 | import sys
import math
import numpy
import tensorflow as tf
# ModuleNotFoundError is new in 3.6; older versions will throw SystemError
if sys.version_info < (3, 6):
ModuleNotFoundError = SystemError
try:
from .beam_search_sampler import BeamSearchSampler
from . import mrt_utils as mru
from .random_sa... |
7cb19adfe187889124e1479db221d4e4d87c95fd47f2908007a02ef5ad8a1ed1 | Python | 32,309 | 708 | # Copyright 2026 Google Inc. HuggingFace Inc. team. All rights reserved.
#
#
# 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 requir... |
fac755282f38f17c127d91dbaad5488284dec9388277d4bed4a5c654a2df7262 | Python | 32,318 | 730 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/deepseek_v3/modular_deepseek_v3.py.
# Do NOT edit this file manually as any edits will be overwritten by the gene... |
3d3fa81ad9a6fd5478354515b4056829a3cad9d2cd9e6d8398f7f4a7d9558231 | Python | 32,336 | 859 | from __future__ import annotations
import os
import sys
import argparse
import ast
import json
from typing import Any, Dict, Tuple, Sequence
# TUNABLE_KEYS = {"value", "apt_list"}
def _single_plan_context(
plan_path: str,
json_plan_suffix: str = "_plan.json",
) -> tuple[str, Dict[str, Any]] | None:
"""... |
357e6076b1e91c28edc74f1be8aa16eb67cada132a39576ea321a1ac23c6f91f | Python | 32,436 | 727 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/axk1/modular_axk1.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
# ... |
fb81fc6ff9eb182e72e255f075b31789a8f8c17ec9e5cb7fbb6541bcc90b09dc | Python | 32,461 | 856 |
import logging
import os
import time
import traceback
import unittest
from os.path import exists, join
from typing import Optional
from rich import print
import slideflow as sf
import slideflow.test.functional
from slideflow import errors
from slideflow.test import (dataset_test, slide_test, stats_test, norm_test,
... |
3fb006441e2ef5e72ff0566958af240f46eeee384441b836b2ecb04f43679091 | Python | 32,507 | 758 | # Copyright 2025 The HuggingFace Inc. team.
#
# 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 ... |
9a929b5bd951df5fb227d078f87f1e3f5f09864b7524999df81d7cfd044af4b1 | Python | 32,529 | 741 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/got_ocr2/modular_got_ocr2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation... |
8725ee0b88a743226c5eaad1b6f68c6efd9691b59007a493ea36a37ef259dbe3 | Python | 32,550 | 768 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/grounding_dino/modular_grounding_dino.py.
# Do NOT edit this file manually as any edits will be overwritten by th... |
976eb573bd581135ca920500dbfe60b261125d77c3ae9b6744650f986e8672da | Python | 32,626 | 779 | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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 applicabl... |
9d267668ae8ba7f39fa52817be3524e44cbf39132244063218f6180e37f4066d | Python | 32,726 | 727 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/glm4_moe_lite/modular_glm4_moe_lite.py.
# Do NOT edit this file manually as any edits will be overwritten by the ... |
241d718719c67a542f0ce7f973c0f99839310c566dfbd586b33fb778de98797d | Python | 32,737 | 859 | """
Controller: upload_dataset
=================================
Description:
A Core dataset uploader.
It accepts a csv file containing paths to files to be uploaded to the Blackboard.
The CSV format uses named columns; column order does not matter.
Optional image label-mask column:
... |
8a77ccd0a94b313b6cf15037360b6b537b2e20be0d6d608af73d9199ce08b6dc | Python | 32,800 | 758 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/grounding_dino/modular_grounding_dino.py.
# Do NOT edit this file manually as any edits will be overwritten by th... |
41c531185a6d98a01414d0e37324de91bd5c8ced7e790c096d4a04ed194ec24c | Python | 32,827 | 1,038 | """Module for sparse matrix operators."""
# pylint: disable= invalid-name
from __future__ import absolute_import
from . import backend as F, ndarray as nd
from ._ffi.function import _init_api
from .base import DGLError
def infer_broadcast_shape(op, shp1, shp2):
r"""Check the shape validity, and infer the output ... |
b507ae999e12ae7aa99694c523646b32e73b93f7a7586268118128e77d382fc1 | Python | 32,848 | 834 | """Iterable-style TFRecord interleavers for PyTorch.
Includes support for streaming data from whole-slide images, as well as StyleGAN2
compatibility.
"""
import multiprocessing as mp
import random
import threading
import numpy as np
import pandas as pd
import torchvision
import torch
from queue import Queue
from typ... |
e2a9742b444110556519aa5144a9c727a93701f40b29d6957345a3f8ad8bc15a | Python | 32,937 | 627 | # Copyright 2025 The HuggingFace Inc. team.
#
# 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 ... |
370288f267bf6698bf712860ecbc1b207837c7978335655809d3946aea6194ca | Python | 32,971 | 922 | import copy
import gc
import logging
import os
import constants
import dgl
import dgl.backend as F
import dgl.graphbolt as gb
import numpy as np
import torch as th
import torch.distributed as dist
from dgl import EID, ETYPE, NID, NTYPE
from dgl.distributed.constants import DGL2GB_EID, GB_DST_ID
from dgl.distributed.p... |
1ce8617127037a9799518cf1944c81f25f518f75996ccc41f121b9edb4aed4a6 | Python | 33,010 | 890 | # repo originally forked from https://github.com/Confusezius/Deep-Metric-Learning-Baselines
################## LIBRARIES ##############################
import warnings
warnings.filterwarnings("ignore")
import csv
import datetime
import os
import pickle as pkl
import faiss
import matplotlib.pyplot as plt
import nump... |
56e20c64cb25eb439f40c3ebe4f129dd4734a5a178410c56424ae3856dd88650 | Python | 33,025 | 868 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
# change the default font family
plt.rcParams.update({'font.family':'Arial'})
plt.rc('xtick',labelsize=14)
plt.rc('ytick',labelsize=14)
plt.rc('legend', fontsize=12)
def reldiffs(fother,f1,iother,i1):
iout = []
... |
54f439b8be2427af235a1488bb4516c2bce18665d3631895c734303dd4334738 | Python | 33,080 | 672 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 19 05:27:06 2022
@author: nelab
"""
import os
import wandb
import torch
import numpy as np
from easydict import EasyDict as edict
import uuid
import shutil
import pytorch_lightning as pl
from pytorch_lightning.loggers.wandb import WandbLogger
from... |
3e5bce0190b6db4888dcea51b1f9730a1d3d3ba6420ff3da1b3b4ce309521eb0 | Python | 33,108 | 922 | #!/usr/bin/env python3
"""
BIDS Functional Run Order Checker with Cross-Validation
This script uses PyBIDS to read functional MRI data from a BIDS dataset,
extracts acquisition times from multiple sources (NIfTI metadata, scans.tsv,
JSON sidecars), cross-validates them, sorts runs by acquisition time, and
validates wh... |
2c0d9df29f5b5a1e24e8463a87d57a8ca920ff7ca3550ec1a8897a5bd11514be | Python | 33,110 | 982 | # Copyright (c) 2026 ByteDance Ltd. and/or its affiliates
# SPDX-License-Identifier: Apache-2.0
"""SPRING, SR, and held-out selection numerics for LIT."""
from __future__ import annotations
import logging
import operator
from collections.abc import Mapping
import jax
import numpy as np
from jax import numpy as jnp
... |
e730b28b65d0587461e802b801d8241e382391cc6f2e4e0f02c767a8531ba61e | Python | 33,116 | 942 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 19 10:27:05 2019
@author: Kai Sandbrink
"""
from sklearn.metrics import r2_score, mean_squared_error
from sklearn.model_selection import train_test_split
from scipy.optimize import minimize
import numpy as np
import pandas as pd
import pickle, os,... |
525eb4f1df444160939413362621783d314b0712277bd54fb18dd9a99d51f5c3 | Python | 33,139 | 872 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
# change the default font family
plt.rcParams.update({'font.family':'Arial'})
plt.rc('xtick',labelsize=14)
plt.rc('ytick',labelsize=14)
plt.rc('legend', fontsize=12)
def reldiffs(fother,f1,iother,i1):
iout = []
... |
7156b50517dd731f4695b18d40629bdc5ef1a8af7bd33effa0d7b578a8078185 | Python | 33,204 | 876 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
# change the default font family
plt.rcParams.update({'font.family':'Arial'})
plt.rc('xtick',labelsize=14)
plt.rc('ytick',labelsize=14)
plt.rc('legend', fontsize=12)
def reldiffs(fother,f1,iother,i1):
iout = []
... |
6d43c084bbce0ec5292754257768cc90b63a7ba8dc8ddfc98d1faccd173e52a1 | Python | 33,210 | 916 | """
00_merge_split_ses_reording_runs.py
------------------------------------
Two related tasks in one script:
1. Merge split BIDS sessions (e.g. ses-02 + ses-02part2) into one.
2. Fix run-number gaps or non-1 starting indices in a single session.
Both are solved by the same mechanism: sort ALL files per group
(mo... |
13e872c5db6eb3443336c3a19c5ba6db86b3e34dcae14de2eb7074f877317f80 | Python | 33,273 | 868 | """
Generate RDA labeling application with algorithm frequency estimates and sine wave overlays.
Uses Alexandra's FOOOF-based RDA detector (fcn_rdafooof_enhanced from rda1b_fft.py)
for frequency estimation, with fallback to simple FFT when FOOOF fails.
For 200 RDA candidates (100 GRDA + 100 LRDA):
1. Run FOOOF-based ... |
49b252d1fbebd18c1763864bd99163da1e16134eb045f1c80fcd317db6c0e32e | Python | 33,336 | 762 | # Copyright 2025 The HuggingFace Inc. team.
#
# 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 ... |
9c4960ad369f38ae8478a0357ac689bc4c30a680236691bd38b069fd6d3a12ac | Python | 33,398 | 754 |
"""
Last updated Tue Apr 12 2022
@author: nsauthier@gmail.com
This file create and does most of the analysis on the AutoEncoder and the two classifiers.
"""
## for Model definition/training
from keras.models import Model, load_model
from keras.layers import Input, Dense, concatenate, Dropout,Add
from keras.layer... |
43096280ec5f0f201acd20d64092d31fe0ae141b2ccab66f479d788378e2791d | Python | 33,455 | 841 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/falcon_mamba/modular_falcon_mamba.py.
# Do NOT edit this file manually as any edits will be overwritten by the ge... |
eb6d492eb0298bb2f51bdff65ea8595d5218d0aaf2338e4aa9b9643706235c94 | Python | 33,610 | 742 | # Copyright 2026 The HuggingFace Team. All rights reserved.
#
# 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 applicabl... |
accd21392f63b674ea9b1b5dbda85fb0834d532357fb29943e273a9320b4dd0a | Python | 33,707 | 730 | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# 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 applicabl... |
00f920e1b9de5aa379ee3562d678348d17634762c5639dde7b81043b523b1fad | Python | 33,713 | 1,038 | """Utility functions and classes.
This file largely consists of the old _utils.py file. Over time, these functions
should be moved of this file.
"""
from __future__ import annotations
import importlib.util
import inspect
import re
from contextlib import suppress
from functools import partial, reduce, singledispatch,... |
5ae0c1a3e5c71ffa9c4267ca12483b49d281e3ff46eedfb9edad085816a7a32d | Python | 33,716 | 989 | import os
from math import ceil
from contextlib import contextmanager, nullcontext
from functools import partial, wraps
from collections.abc import Iterable
import torch
from torch import nn
import torch.nn.functional as F
from torch.utils.data import random_split, DataLoader
from torch.optim import Adam
from torch.op... |
ebf08b45177cfc4870064c00888f55e00eea78e477acfa0451dd1a350bc278fa | Python | 33,788 | 833 | import imgui
import numpy as np
import slideflow as sf
import slideflow.mil
import threading
import importlib
import traceback
from functools import partial
from tkinter.filedialog import askdirectory
from os.path import join, exists, dirname, abspath
from typing import Dict, Optional, List, Union
from slideflow.util ... |
20f71311e308f21580cb2fd447b725eeac937121cdd4893b65a5d03a7f2728bf | Python | 33,811 | 1,029 | """Columnar storage for DGLGraph."""
from __future__ import absolute_import
from collections import namedtuple
from collections.abc import MutableMapping
from . import backend as F
from .base import dgl_warning, DGLError
from .init import zero_initializer
from .storages import TensorStorage
from .utils import gather_... |
117cf2477336a5c8b58571206baf7939263c7115a87ca4d56992fa600961b86b | Python | 33,816 | 737 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/laguna/modular_laguna.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... |
1c9631135a4182cc28d4acf5b8440db0b73adca48014f13ff7eff7135d35ac70 | Python | 33,905 | 811 | # -----------------------------------------------------------------------------
# Copyright (c) Yongning Lei 2024-2025
# All rights reserved.
#
# This script is distributed under the Apache-2.0 license.
# You may use, distribute, and modify this code under the terms of the Apache-2.0 license.
# See the LICENSE file for... |
867e2d7c02ada69074bdd01e27ff29aec143002fe39d773d50df461538b8ac9b | Python | 33,916 | 701 | # Copyright 2023 The HuggingFace Team. All rights reserved.
#
# 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 applicabl... |
ab29078b3dd7d6ef3bfc4d5815bc490dc7bdab18b7df5558e33900c0a5d6b49d | Python | 33,949 | 752 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/granitemoe_swa/modular_granitemoe_swa.py.
# Do NOT edit this file manually as any edits will be overwritten by th... |
a48df7d7fa357913d385b754102fb49d54e1d3fd939243d2c954fbe4e9410820 | Python | 33,965 | 792 | # Copyright 2023 The Bigcode team and HuggingFace Inc. team.
# 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... |
3f88a89ef57f91a14217deb57fd99ea71244a981335983acae43411937989335 | Python | 33,971 | 846 | """
Select 100 GRDA and 100 LRDA patients from the external drive, stratified by
estimated frequency, for annotation round 1.
Run: conda run -n foe python code/select_rda_candidates.py
"""
import sys, os, ast, json, base64, warnings, traceback
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('A... |
1fc23e8bab9a3e1bc304f1bd636cebd0edae5d678c464ea4f4e24e15cf41be15 | Python | 34,035 | 959 | """Utility functions and constants for slide reading."""
import slideflow as sf
import cv2
import csv
import io
import numpy as np
import shapely.validation as sv
import shapely.geometry as sg
import shapely.affinity as sa
import xml.etree.ElementTree as ET
from shapely.ops import unary_union, polygonize
from PIL imp... |
6a01af6e2399c18e70cecc98a81661f5f6251836172455a475aaf02050407555 | Python | 34,120 | 754 | """
===============================================
:mod:`ec` -- Evolutionary computation framework
===============================================
This module provides the framework for creating evolutionary computations.
.. Copyright 2012 Aaron Garrett
.. Permission is hereby granted, free ... |
6df0241e0d5a3cf93a4a16439367d763acc04982c28a14e07d315fd59db7339c | Python | 34,146 | 801 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/jetmoe/modular_jetmoe.py.
# Do NOT edit this file manually as any edits will be overwritten by the generation of
... |
300a330aa4d8943d322d46a65c6c9a68cde3f4c6a5d9cf93c9f2502601434d88 | Python | 34,158 | 905 | #!/usr/bin/env python
"""
Collection of TPT-related functions and utilities for Hi-C analysis
Part of ChromaWalker package
"""
import numpy as np
import copy
from numpy.linalg import solve
import plotutils as plu
import hicFileIO as hfio
import dataFileReader as dfr
import msmBasics as mb
import msmBookKeeping as mbk... |
c9aac2ce0260a64d1d8493eeba4f31216b479f3d90269d1fe5719959a6083bf0 | Python | 34,161 | 695 | # coding: utf-8
# Author: C.J. Hutto
# Thanks to George Berry for reducing the time complexity from something like O(N^4) to O(N).
# Thanks to Ewan Klein and Pierpaolo Pantone for bringing VADER into NLTK. Those modifications were awesome.
# For license information, see LICENSE.TXT
"""
If you use the VADER sentiment a... |
ad2f8292ff6642a691650e25ee72b033d4d80df5fcfc1282caafe10154ca0e21 | Python | 34,174 | 944 | """
====
Core
====
"""
import os
import sys
import time
import json
import psutil
import pickle
import platform
import subprocess
from datetime import datetime
from typing import TypeVar, Optional
from PySide6.QtUiTools import QUiLoader
from PySide6.QtCore import Qt, QTimer, QSize, Signal, QThread, Slot
from PySide6.... |
467ee7d1a9a824297c1461dec9d3884fa5800322ece24146ddc873c973c1ef25 | Python | 34,274 | 633 | import json
import time
import warnings
from abc import ABC
from collections import OrderedDict
from copy import deepcopy
import numpy as np
import torch
from torch.nn import functional as F
from ..tokenization_utils_base import PreTrainedTokenizerBase
from ..utils import add_start_docstrings, logging
logger = logg... |
ae74900d7d811312942cc22556188ee061ea8daf946bc985e004af92984bd32f | Python | 34,277 | 800 | # Copyright 2025 Google Inc. HuggingFace Inc. team. All rights reserved.
#
#
# 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 requir... |
a023f655a64a2cc70f732c885c8b8c40ef251c1900b5f4a9231360785297a0a8 | Python | 34,362 | 775 | # 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from src/transformers/models/higgs_audio_v2/modular_higgs_audio_v2.py.
# Do NOT edit this file manually as any edits will be overwritten by th... |
1f6400cddf499a43e6bd661ccf70259e6c98358f73ff0487eee8de69daa57662 | Python | 34,444 | 837 | # Copyright 2026 OpenBMB and the HuggingFace Inc. team. All rights reserved.
#
# 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 requ... |
e58354d5c52eab81b1f05c09f97fb17f4917ad6c1d7e9dd8e03108e5ad78629d | Python | 34,604 | 836 | # Copyright 2022 The HuggingFace Inc. team.
#
# 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 ... |
d5eaa228bbcf235b89eb5b186caf34894ceb97c9f9420479c2c8ebd34824e21f | Python | 34,661 | 811 | # Copyright 2023 Meta Platforms, Inc. and affiliates, and the HuggingFace Inc. team. All rights reserved.
#
# 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/license... |
1e5c345e1e422cf176691ff24779128a86ff15bb4579eb87230988745bc56b4a | Python | 34,760 | 996 | """Utility functions for slideflow.Project."""
import re
import os
import requests
import tempfile
import logging
import pandas as pd
from collections import defaultdict
from functools import wraps
from os.path import dirname, exists, join, realpath, isdir
from types import SimpleNamespace
from typing import Any, Call... |
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