sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5a681a5fa9d4f8389bd25b6b16e30fde84dc4e1c58a130870e4d4bd673c2d0d1 | Python | 442 | 20 | from qtpy.QtCore import Signal
from qtpy.QtWidgets import QLabel
class QLabelMT(QLabel):
mouseMoved = Signal()
"""
"""
def __init__(self) -> None:
super().__init__()
self.setMouseTracking(True)
def mouseMoveEvent(self,event):
self.cursorPos = [event.pos().x()... |
6644abed002b72c0f238e051610a4b7b873654e24a4406280d1535270609b1e1 | Python | 442 | 10 | DEFAULT_CROP_PCT = 0.875
DEFAULT_CROP_MODE = 'center'
IMAGENET_DEFAULT_MEAN = (0.485, 0.456, 0.406)
IMAGENET_DEFAULT_STD = (0.229, 0.224, 0.225)
IMAGENET_INCEPTION_MEAN = (0.5, 0.5, 0.5)
IMAGENET_INCEPTION_STD = (0.5, 0.5, 0.5)
IMAGENET_DPN_MEAN = (124 / 255, 117 / 255, 104 / 255)
IMAGENET_DPN_STD = tuple([1 / (.0167 *... |
a58068e0114a6ad2a5f0ef1a0c3ebc5761b7826361fc2b8d806509ebf93a72f3 | Python | 442 | 20 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import enum
from cvat_sdk.models import LocationEnum as RawLocationEnum
class Location(str, enum.Enum):
LOCAL = "local"
CLOUD_STORAGE = "cloud_storage"
def __str__(self) -> str:
return self.value
assert all(
[getattr(Loc... |
2b401340c5a74cf97ea43e50190508c5cb6d142b5f54432ff3283074e3315755 | Python | 443 | 21 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import cvat_sdk.auto_annotation as cvataa
import cvat_sdk.models as models
import PIL.Image
spec = cvataa.DetectionFunctionSpec(
labels=[
cvataa.label_spec("car", 0),
],
)
def detect(
context: cvataa.DetectionFunctionContext, i... |
2f3afa8e0c3c92d28cd477d038c8a564848bf9e59c14ed51965f75bfc4ac547d | Python | 443 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1k_GELU_crop'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1k_GELU_crop',
activatio... |
5ac7fb7d350aec25ad5f20aa1e59a1820920910c9fe6b431d397341024e8e0b0 | Python | 443 | 19 | from bannotator.mainwindow import MainWindow
import sys, os
from PySide6.QtWidgets import QApplication
from PySide6.QtGui import QIcon
def main():
app = QApplication(sys.argv)
mainwindow = MainWindow()
app.installEventFilter(mainwindow)
app.setApplicationName("Bannotator")
app.setWindowIcon(QIcon(... |
66f5451dfedf43ef8a0accedd627bac867da4b67eb346059ee0e9a9a6b67c07e | Python | 443 | 9 | import os
import ClearMap.Settings as settings
filename = os.path.join(settings.ClearMapPath, 'Test/Data/ImageAnalysis/cfos-substack.tif');
import ClearMap.Visualization.Plot as plt
import ClearMap.IO as io
data = io.readData(filename, z = (0,26));
import ClearMap.ImageProcessing.BackgroundRemoval as bgr
dataBGR = bgr.... |
924893b336417f9ccba249a6fdeff59ce6a173415fb5cd56ff4c71eaa8c8ae41 | Python | 443 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1k_APGD_GELU'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1k_APGD_GELU',
activatio... |
b59dc12a30e7c84c108448454a0fd10531dfd859202186a6c7375fab588be32e | Python | 443 | 20 | """# Manual progress bar
Example of a progress bar being updated manually.
"""
from magicgui import magicgui
from magicgui.widgets import ProgressBar
@magicgui(call_button="tick", pbar={"min": 0, "step": 2, "max": 20, "value": 0})
def manual(pbar: ProgressBar, increment: bool = True):
"""Example of manual prog... |
bc0dee1aad9fbfa17ee4c3b16be620102a1a2798f7b009ca4e0c98a529790c19 | Python | 443 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1k_HAND_crop'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1k_HAND_crop',
activatio... |
d53120dfa4c3093e85246521874c20f47b76c2eadfc7e40c0b1946eba088ee54 | Python | 443 | 16 | import subprocess
import glob
ROOT = '/Users/sebastiandresbach/data/s1Anfunco/Nifti/derivatives/designFiles/stimulationPatterns'
subs = ['sub-15', 'sub-16', 'sub-17', 'sub-18']
for sub in subs:
subFolder = f'{ROOT}/{sub}'
files = sorted(glob.glob(f'{subFolder}/*ses-00*_D*.txt'))
for file in files:
... |
e38b9a9a9f53736ae0b4f369cfe5c1ce40ec5322d5e7c1da2e9db995b3b87508 | Python | 443 | 15 | from torch.nn.modules.loss import _Loss
from . import functional as F
__all__ = ["WingLoss"]
class WingLoss(_Loss):
def __init__(self, width=5, curvature=0.5, reduction="mean"):
super(WingLoss, self).__init__(reduction=reduction)
self.width = width
self.curvature = curvature
def for... |
10f0f42c82f59fa4b818ef5f2faa04166b8fb2ccabd80191290e9f6299028c62 | Python | 445 | 12 | from ._version import __version__
from .project_settings import projects
from .run import run
from .preparation import create_cereb_surface, get_central_gm_with_mask, get_center_pos
from .simulation import run_FEMs, analyse_simus
from .reporting import placement_guide, internal_report
from .run_line import run_line
fr... |
1415aab330e76f1e9f70f25897eda4cdde595282c028ce2b2d9a14405b4863c4 | Python | 445 | 5 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['Zejin_Lu_dvd_baseline_imagenet_resnet50'] = lambda: ModelCommitment(identifier='Zejin_Lu_dvd_baseline_imagenet_resnet50', activation... |
6e3c8443db3dac6ba9d33dbfa9c13591687a2324e152a1c24cfa410a0bec9f8d | Python | 445 | 11 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['dinov2_vitl14_reg_lc'] = lambda: ModelCommitment(
identifier='dinov2_vitl14_reg_lc',
activations_model=get_model('dinov2_vitl14_... |
8f2a147a1a9cc06104750a9fc427da548803c1d44668cd8ccabae055a3101ae2 | Python | 445 | 11 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['dinov2_vitg14_reg_lc'] = lambda: ModelCommitment(
identifier='dinov2_vitg14_reg_lc',
activations_model=get_model('dinov2_vitg14_... |
303ebaac66fae8971dbfb8605e206789342fc583d99beded51378a7c1fecac12 | Python | 446 | 17 | '''Test the ogoBmdAnalysis command line interface exists'''
import unittest
import subprocess
class TestBMDAnalysisExists(unittest.TestCase):
'''Test the ogoBmdAnalysis command line interface exists'''
def test_can_call_ogo_help(self):
'''Can call `BmdAnalysis --help`'''
command = ['ogoBmdAn... |
7d0ad9ccfcfbd98d0e4dabf1735278ff10a66a837c60acbf098fc3e96e8d9ede | Python | 446 | 17 | '''Test the ogoBmdTabulate command line interface exists'''
import unittest
import subprocess
class TestBMDAnalysisExists(unittest.TestCase):
'''Test the ogoBmdTabulate command line interface exists'''
def test_can_call_ogo_help(self):
'''Can call `BmdAnalysis --help`'''
command = ['ogoBmdTa... |
843acdfda4505035a599d3d100b21c126f65b19d77a840dc571d0b6360559c35 | Python | 447 | 19 | from PyQt5.QtWidgets import QLabel
from PyQt5 import QtCore
class QLabelMT(QLabel):
mouseMoved = QtCore.pyqtSignal()
"""
"""
def __init__(self) -> None:
super().__init__()
self.setMouseTracking(True)
def mouseMoveEvent(self,event):
self.cursorPos = [event.pos(... |
9a5ebbf594bd9aa5bb5e0691ad1b5f378a62a042af5af837b3b28543c6eb1a55 | Python | 447 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1k_TA_HANDsum'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1k_TA_HANDsum',
activat... |
042a6d63a2e9857c2727484d67126add9595a4d7b01504f8791948eba0b9c439 | Python | 448 | 5 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_base_fb_in1k_gram_aligned_dinov3'] = lambda: ModelCommitment(identifier='convnext_base_fb_in1k_gram_aligned_dinov3', activation... |
fea49857574bb02cd690f8d39c339fe808d953795cec793f36be6681ce3a56b9 | Python | 448 | 16 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from .build_sam import (
build_sam,
build_sam_vit_h,
build_sam_vit_l,
build_sam_vit_b,
build_sam_vit_t... |
26769e24202a6550fc494a9ffa5dd949f3fdea859d92bd03ec46939a8386bc84 | Python | 449 | 17 | __all__ = ["is_file", "write_output"]
def is_file(f):
"""
Check if f is a file-like object. Compatible with Python 3
:param f:
:return: True if `f` is file-like; False otherwise.
"""
return hasattr(f, 'read')
def write_output(results, output, append=False):
results.to_csv(output, sep="\... |
77f8703ef6177da7a622ff5bd730b92f26a9b61021b4154e54b91b7c680f8fb9 | Python | 449 | 13 | from setuptools import setup
if __name__ == "__main__":
try:
setup(use_scm_version={"version_scheme": "no-guess-dev"})
except: # noqa
print(
"\n\nAn error occurred while building the project, "
"please ensure you have the most updated version of setuptools, "
... |
a759a6a2b310b5f781d554a86b0cdb9e2373e89ccf414b7ef4a187cda9af1e7e | Python | 449 | 19 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
from abc import ABCMeta, abstractmethod
from cvat_sdk.api_client import models
from PIL import Image
from shared.tasks.enums import SourceDataType
class ITaskSpec(models.ITaskWriteRequest, models.IDataRequest, metaclass=ABCMeta):
size: int
... |
dd7e4f5863ae1a533fac8f7acd21ecc93a4b40bb3e88033b6ca8f5a8b035cd3f | Python | 449 | 26 | # -*- coding: utf-8 -*-
"""TODO"""
class Device:
"""TODO"""
unique_id_count = 0
def __init__(self):
"""TODO"""
self.active = True
self.unique_id = Device.unique_id_count
Device.unique_id_count += 1
self.name = "Device" + str(self.unique_id)
def evolve(self):
... |
9cddcf8edcf6f6962786f4d9accc546cdd1e988abe4282f2715b4a466ecd1aef | Python | 450 | 12 | import torch
import torch.nn as nn
class twoLayerMLP(nn.Module):
def __init__(self, input_dim, output_dim, hidden_dim=256, activation="relu"):
super().__init__()
self.mlp1 = nn.Linear(input_dim, hidden_dim)
self.mlp2 = nn.Linear(hidden_dim, output_dim)
self.activation = nn.ReLU() if... |
fbe28640002937a53badf8bdbaf3c0bcb5ce6cc41d25aa89a0f7f5e9994e5dec | Python | 450 | 16 | import numpy as np
from .utils import multi_input
def predict_with_model(eval_model, input_data: np.ndarray, batch_size: int = 32) -> np.ndarray:
input_data = np.expand_dims(input_data, axis=-1)
input_data_list = multi_input(input_data)
pred_test_list = eval_model.predict(input_data_list, batch_size)... |
02f7c76c73c823474fcb55149a18343a36bb1ff106deb568753406ede916c0fd | Python | 451 | 20 | # Generated by Django 2.1.3 on 2019-01-23 10:05
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("dataset_repo", "0001_initial"),
]
replaces = [("git", "0002_auto_20190123_1305")]
operations = [
migrations.AlterField(
mod... |
1c22ab77db285b05b7e0a60cd417459182613ea5c746dffec6993a5f86cdbcf1 | Python | 451 | 16 | # -*- coding: utf-8 -*-
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from .build_sam import (
build_sam,
build_sam_vit_h,
build_sam_vit_l,
build_sam_vi... |
4e9409af160f5c86662320ead6a0f9c2d0012b131a1336e6de3731ea2c69e5fd | Python | 452 | 10 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_xxlarge_clip'] = lambda: ModelCommitment(
identifier='convnext_xxlarge_clip',
activations_model=get_model('convnext_xxl... |
58be105d739d90c8e5f3e4e87ff83aac6f4ffc3852bc875a227beadff6aec3aa | Python | 452 | 21 | def get_repetition_time(in_file):
"""
Get time-to-repetition of the scan.
CAUTION: Name in the old PUMI is get_scan_info
Parameters
----------
in_file (str): Path to (functional!) nifti-image
Returns
-------
TR (float): Time-to-repetition of file
"""
import nibabel as ni... |
9b97b8b326e447dc438eef17fc60971bdcfab2c1732d679779bd7ce22d00b452 | Python | 452 | 20 | # Generated by Django 3.2.12 on 2022-05-20 09:21
from django.db import migrations
import cvat.apps.engine.models
class Migration(migrations.Migration):
dependencies = [
("engine", "0052_alter_cloudstorage_specific_attributes"),
]
operations = [
migrations.AddField(
model_na... |
0c20fa5651787c9f6cba1f516ab05b9adf3df19b557a989c8276edf828cd2e0d | Python | 453 | 20 | from PyQt5.QtWidgets import QLabel
from PyQt5 import QtCore
class QLabelMT(QLabel):
mouseMoved = QtCore.pyqtSignal()
"""
"""
def __init__(self) -> None:
super().__init__()
self.setMouseTracking(True)
def mouseMoveEvent(self,event):
self.cursorPos = [even... |
e289280ba36985240796dc8c818eee45b3d2014582e7982873da064f9bbe27ef | Python | 453 | 17 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import os
from django.core.exceptions import ImproperlyConfigured
MAX_QUALITY_REQUIREMENTS_PER_SETTINGS = int(
os.getenv("CVAT_MAX_QUALITY_REQUIREMENTS_PER_SETTINGS", 100)
)
if MAX_QUALITY_REQUIREMENTS_PER_SETTINGS < 1:
raise ImproperlyCon... |
e63edaf236bd70966af150f1bf9c0db42ff6591cbfbeb313720449222d20c8a3 | Python | 453 | 20 | import pandas as pd
split = pd.read_csv('/data2/whr/czl/TwiBot22-baselines/datasets/gilani-2017/split.csv')
user = pd.read_csv('./user_feature.csv')
user_list = list(user['id'])
del_list = []
for i,r in split.iterrows():
if r[0] not in user_list:
del_list.append(i)
print(len(del_list))
split.drop(inde... |
27ba8b91c358f5ae3117d3e21ce07e52e7b63827f4f4bc6700b9d0b2f0368d57 | Python | 455 | 15 | import numpy as np
import pytest
import brainscore_vision
@pytest.mark.private_access
@pytest.mark.parametrize('identifier,shape,nans', [
('BashivanKar2019.naturalistic', (24320, 233, 1), 309760),
('BashivanKar2019.synthetic', (21360, 233, 1), 4319940),
])
def test_assembly_shape(identifier, shape, nans):
... |
4e86b386564bf560766df21126612adfe06a17b0f3c3938cbf9699c50493cefc | Python | 455 | 23 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 12 21:27:14 2023
@author: Artur Klepaczko
"""
import pandas as pd
from skfeature.function.similarity_based import fisher_score
df = pd.read_csv('t2_kidney_texture_features.csv', sep=',')
data = df.to_numpy()
X = data[:, 1:-1]
y = data[:, -1]
score = fisher_score.fish... |
6f132a5cb912ad976e57501c1d59f60fbd66e1da52805146f7f1e25a6731b52d | Python | 455 | 18 | import logging
from .detection import *
from .evaluation import *
from .fetchers import *
from .heart import *
from .hypno import *
from .others import *
from .plotting import *
from .sleepstats import *
from .spectral import *
from .staging import *
# Define YASA logger
logging.basicConfig(format="%(asctime)s | %(le... |
e4f74828c6c495ab0fa0685757ffbea3b5efc4144ff1a03f22d665999f536aca | Python | 455 | 11 | # __init__.py - Model registration for hk_model_2 (SwAV)
from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
# hk_model_2: Self-supervised ResNet-50 (SwAV) registration
model_registry['hk_model_2'] = lamb... |
e555f4df7938ebd8de03daf1026cbf8ce0bcb1b7dee0c7bd4188ea0b01ab70bb | Python | 455 | 13 | #!/usr/bin/env python
# This script adds access to the Django env and settings in the default rqscheduler
# implementation. This is required for correct work with CVAT queue settings and
# their access options such as login and password.
from rq_scheduler.scripts import rqscheduler
# Required to initialize Django se... |
8315721824062c1847b654a097737002027fb13e2a8d2df0bf23a86034bd9278 | Python | 457 | 9 | """isort:skip_file"""
from .layer_norm import LayerNorm
from .softmax_dropout import softmax_dropout
from .multihead_attention import SelfMultiheadAttention, CrossMultiheadAttention
from .transformer_encoder_layer import TransformerEncoderLayer
from .transformer_encoder import TransformerEncoder, init_bert_params, rel... |
a0be2d873cf6b3d36ff018c18c18cbecc2a0dda1bc3e790f133b4bff45ef7500 | Python | 457 | 11 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['dinov2_vitl14_lc_res336'] = lambda: ModelCommitment(
identifier='dinov2_vitl14_lc_res336',
activations_model=get_model('dinov2_v... |
d2872324a13deac6b351b70389676e80bcfb0844f331d8917e2669a6dba2a3a8 | Python | 457 | 14 | import matplotlib.pyplot as plt
color_scheme = {
'concrete-baseline': plt.cm.Reds(0.3),
'concrete-subsective': plt.cm.Reds(0.5),
'concrete-privative': plt.cm.Reds(0.7),
'abstract-baseline': plt.cm.Blues(0.3),
'abstract-subsective': plt.cm.Blues(0.5),
'abstract-privative': plt.cm.Blues(0.7),
... |
0ace1756c56e095cf70297b4c77a890f1c229fe10190357e7c6286162a38ed30 | Python | 458 | 12 |
from transformers import AutoTokenizer, AutoModel, AutoConfig
model_name = "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext"
cache_dir = "./pretrained_models"
# 下载并缓存模型文件
config = AutoConfig.from_pretrained(model_name, cache_dir=cache_dir)
tokenizer = AutoTokenizer.from_pretrained(model_name, cache_dir... |
22a0affd1909038e4558a5c511e3cf4709be43f0d49b69f7e6aa6971296e1028 | Python | 458 | 18 | import click
from _cli import LazyGroup
@click.group(
cls=LazyGroup,
lazy_subcommands={
"collect": "i2m.collect_mesh_data.collect",
"concentrations2mesh": "i2m.concentrations_to_mesh.concentrations2mesh",
"dti2mesh": "i2m.dti_data_to_mesh.dti2mesh",
"subdomains": "i2m.mesh_seg... |
3d792a7f9b223d005ee216729d5b826d2db23d69ab06e2dcada0c48546ee6556 | Python | 458 | 18 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 14 11:25:41 2023
@author: axthi
"""
import sys
# --------------------------------------------------
# NOTE: Update this path to fit to your installation
path_to_utils = 'C:/Users/axthi/simnibs/memoslap_utils/'
sys.path.append(path_to_utils)
from simnibs_memoslap_utils.ut... |
4b58ecd3cf02f2f038b60bb35195667abf9544ccff5fae6b833dc9405b37c60c | Python | 458 | 10 | import jax.numpy as jnp
import matplotlib.pyplot as plt
def sort_rows_by_first_threshold(matrix, threshold):
first_above_thresh = jnp.argmax(matrix > threshold[:, None], axis=1)
all_below_thresh = ~jnp.any(matrix > threshold[:, None], axis=1)
first_above_thresh = first_above_thresh.at[all_below_thresh].s... |
7c91f7ce43e2c915bbdccb6a17a6966ecf37d27a05f7462aeff85eef7b53e1b0 | Python | 458 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['densenet-201'] = lambda: ModelCommitment(identifier='densenet-201',
activ... |
ab394f785ebd24a5914b7824650b67df45c2a7daf21f60ec80a3274ae3e2ef4e | Python | 458 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['cvt_cvt-13-224-in1k_4_LucyV4'] = \
lambda: ModelCommitment(identifier='cvt_cvt-13-224-in1k_4_LucyV4',
a... |
f09f5cd7ce9b904b340ca3a728b22f53b6c0c455e5b34272c7d1e87dcd52f0c8 | Python | 458 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['cvt_cvt-21-224-in1k_4_LucyV4'] = \
lambda: ModelCommitment(identifier='cvt_cvt-21-224-in1k_4_LucyV4',
a... |
fa19bb0ca0fc7094ed68425aa141ec84bae7b17fced303f96dba044dab687d37 | Python | 458 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['inception_v3'] = lambda: ModelCommitment(identifier='inception_v3',
activ... |
fc7be20ae53e29250e38106069d2d1002c8dc5e677c3c29c9384a26202d26276 | Python | 458 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['inception_v4'] = lambda: ModelCommitment(identifier='inception_v4',
activ... |
fdd6693e4ba7502d3f68008370c72e10f12191d15785969aef0aeb59b02e22b4 | Python | 458 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['cvt_cvt-13-384-in1k_4_LucyV4'] = \
lambda: ModelCommitment(identifier='cvt_cvt-13-384-in1k_4_LucyV4',
a... |
252d0e7a6b24e8e454a142fbb08a47d7a5f32f1a0e05d2df4bec944ff82d6a80 | Python | 459 | 22 | # This file is part of connectome-manipulator.
#
# SPDX-License-Identifier: Apache-2.0
# Copyright (c) 2024 Blue Brain Project/EPFL
"""init"""
from connectome_manipulator.connectome_manipulation.manipulation.base import (
Manipulation,
MorphologyCachingManipulation,
)
from . import (
conn_wiring,
con... |
35854982b610b04e4cdb7821c107b6bcf29a47d3a94e3b1e5f55cc264ecbb2c1 | Python | 459 | 20 | import pandas as pd
split = pd.read_csv('/data2/whr/czl/TwiBot22-baselines/datasets/cresci-stock-2018/split.csv')
user = pd.read_csv('./user_feature.csv')
user_list = list(user['id'])
del_list = []
for i,r in split.iterrows():
if r[0] not in user_list:
del_list.append(i)
print(len(del_list))
split.dro... |
664eaa763adaba0ff7e59f4ab178a9d8d938271b30590b4adaa50900bb03680d | Python | 459 | 16 | import sys
class Logger(object):
def __init__(self, logfile):
self.terminal = sys.stdout
self.log = open(logfile, "a")
def write(self, message):
self.terminal.write(message)
self.log.write(message)
def flush(self):
#this flush method is needed for python 3 compatib... |
72cf321fb53e4cf9eb4d662a09013dddabf351f91fad496c96c44f806f428ae8 | Python | 459 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1K_torchvisionV1'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1K_torchvisionV1',
a... |
8161d037fe43cca58096562505efff6a3584920efe427686caa4fa876428a5a4 | Python | 459 | 18 | import unittest
from deepgo.metrics import compute_roc, compute_metrics
import numpy as np
class TestMetrics(unittest.TestCase):
@classmethod
def setUpClass(self):
pass
def test_compute_roc(self):
labels = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
preds = np.array([0.1, 0.6, 0.7, ... |
a7f45203465d65b2f38d97971b5efcf9108cc43e78e97548105f67e8994236d6 | Python | 459 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['convnext_tiny_imagenet1k_APGD_HANDmean'] = lambda: ModelCommitment(
identifier='convnext_tiny_imagenet1k_APGD_HANDmean',
a... |
cc55318971e7d90c86c3961dc8fa1c946f67436663c7fee6f8ada77f717e787d | Python | 459 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['cvt_cvt-21-384-in1k_4_LucyV4'] = \
lambda: ModelCommitment(identifier='cvt_cvt-21-384-in1k_4_LucyV4',
a... |
e844c58a3209ba8bb1c373f5ef30642256befd1a6db20abf5a70a39376cafbc7 | Python | 459 | 15 | # Created by David Coggan on 2024 06 25
from brainscore_vision import benchmark_registry
from .benchmark import (
Coggan2024_V1,
Coggan2024_V2,
Coggan2024_V4,
Coggan2024_IT,
)
benchmark_registry['tong.Coggan2024_fMRI.V1-rdm'] = Coggan2024_V1
benchmark_registry['tong.Coggan2024_fMRI.V2-rdm'] = Coggan20... |
fe947f10efbde0b5759c3704fac12979ad8bf007cefdbecdeb6ce02567e3e6a4 | Python | 459 | 12 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['evresnet_50_1'] = lambda: ModelCommitment(
identifier='evresnet_50_1',
activations_model=get_model('evresnet_50_1'),
layers=... |
66795d35eab7a523ed1126fce8807c0a98971fc974679d62a93526de044071f6 | Python | 460 | 18 | import unittest
from toolkit.metrics import compute_roc, compute_metrics
import numpy as np
class TestMetrics(unittest.TestCase):
@classmethod
def setUpClass(self):
pass
def test_compute_roc(self):
labels = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
preds = np.array([0.1, 0.6, 0.7,... |
75b09bf213f58bae4a854f06bed6a0b3b89ad71436cffaa410ab9dde46f89d9b | Python | 460 | 18 | #!/usr/bin/env python
"""
Test get objective.
"""
from storm_control.test.hal.standardHalTest import halTest
def test_hal_go_1():
halTest(config_xml = "none_tcp_config.xml",
class_name = "GetObjective1",
test_module = "storm_control.test.hal.tcp_tests")
def test_hal_go_2():
halTest(... |
d1c08ee9927ab6f9187a7ca892f32d2a9e0e1f62f34dc07dfe3cad907050d8a5 | Python | 460 | 24 | import numpy as np
def exp_running_avg(running, new, gamma=.9):
return gamma * running + (1. - gamma) * new
def accuracy(y_true, y_pred):
return np.mean(y_pred == y_true)
def onehot(labels):
y = np.zeros([labels.size, np.max(labels) + 1])
y[range(labels.size), labels] = 1.
return y
def softm... |
eed868dee0e27aa0d35678bb9afb3afc94cf3f941fb86d03e3f4c475fa03ddbc | Python | 460 | 15 | import numpy as np
import pytest
from impyute.dataset import mnist
from impyute.ops import matrix
pytest.skip("takes ~30 sec each test", allow_module_level=True)
data = mnist()["X"]
def test_return_type():
""" Check return type, should return an np.ndarray"""
assert isinstance(data, np.ndarray)
def test_miss... |
17661a7764240fb8598769b330db87ac9c223d3fbe26063a41709833b46824ae | Python | 461 | 19 | # Copyright (c) DP Technology.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from functools import lru_cache
from . import BaseWrapperDataset
class FromNumpyDataset(BaseWrapperDataset):
def __init__(self, dataset):
... |
4238b1e9fa941de508bbb93d0cc5f6079f63d94dcbf67c8561776ed9cf4d968f | Python | 461 | 18 | # -----------------------------------------------------------------------------
# Copyright © 2009- The QtPy Contributors
#
# Released under the terms of the MIT License
# (see LICENSE.txt for details)
# -----------------------------------------------------------------------------
"""Dev CLI entry point for QtPy, a co... |
7ab40a6909a80d4ec53426490d9c1a2f343a7100d3676e7c72cd872c2e1b006b | Python | 461 | 15 | from unittest import TestCase
import kb_python.dry.count as count
from tests.mixins import TestMixin
class TestCount(TestMixin, TestCase):
def test_stream_batch(self):
with self.assertRaises(Exception):
count.stream_batch(self.smartseq3_remote_batch_path, self.temp_dir)
self.assertEq... |
af7be0ce161f0852a83577cf46bea7bb4d36c2efba0a9a65f5b2ed75de5704cc | Python | 461 | 25 | """
Various utilities for working with `bx.align.Alignment` objects.
"""
from .chop import chop_list
from .fuse import (
fuse,
fuse_list,
FusingAlignmentWriter,
)
from .thread import get_components_for_species
from .tile import (
intervals_from_mask,
tile_interval,
)
__all__ = [
"FusingAlignme... |
bc4fe7f62128abb14775598d6d002d2ca4e64765388a0c1805e244921d0c6544 | Python | 461 | 28 | '''
usage example (find top 100 words in abc.txt):
cat abc.txt | python jiebacmd.py | sort | uniq -c | sort -nr -k1 | head -100
'''
from __future__ import unicode_literals
import sys
sys.path.append("../")
import jieba
default_encoding='utf-8'
if len(sys.argv)>1:
default_encoding = sys.argv[1]
while True:
... |
c199272e018309d3a95de25147d77d4f5bef27208a4797058b0b99a11169735b | Python | 461 | 23 | """test_averagings.py"""
import impyute as impy
from impyute.ops.testing import return_na_check
SHAPE = (5, 5)
def test_mean(test_data):
data = test_data(SHAPE)
imputed = impy.mean(data)
return_na_check(imputed)
def test_mode(test_data):
data = test_data(SHAPE)
imputed = impy.mode(data)
ret... |
bcceda10c3ac65d2a2249620b8abca08dad41dd1f538e66d5a1977c58a1c59ac | Python | 462 | 13 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from .sam import Sam
from .image_encoder import ImageEncoderViT
from .mask_decoder_hq import MaskDecoderHQ
from .mask_deco... |
23885c2a2f55b7b77d27be3536077238df02a74c1ec1474a56f43b2036e30151 | Python | 463 | 16 | """Helpers for runtime environment configuration."""
import os
def require_env(name: str) -> str:
"""Return a required environment variable or raise a clear runtime error."""
value = os.getenv(name)
if value:
return value
raise RuntimeError(
f"Environment variable '{name}' is not set... |
d90b9cd262667b5ccec07bd865a689552eb9c7eae125584a7506949baebd76bb | Python | 463 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['mobilevit_small'] = lambda: ModelCommitment(identifier='mobilevit_small',
ac... |
ebd841d5e2dfd767de5c82504ee26c8a329eb68c9bd73c23d802cb2718834b4b | Python | 463 | 12 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['evresnet_50_5'] = lambda: ModelCommitment(
identifier='evresnet_50_5',
activations_model=get_model('evresnet_50_5'),
layers=... |
0967bc8340051def1baca3dbecaef0aef015d65861662a951f2147c2d7b354f8 | Python | 464 | 18 | subjects = ["aster", "delta"]
rois = ["centromedial", "basolateral", "hippocampus"]
region_names = dict(centromedial="CMA", basolateral="BLA", hippocampus="HIPP")
stimuli = ["hierarchy", "object", "blank"]
stimulus_names = dict(
hierarchy="monkey videos", object="object videos", blank="blank screen"
)
color_dict... |
50efd962cf7139e129c17b17cc8b6ab3ed924ec6e5be9ceae081a1156626e952 | Python | 464 | 18 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import json
import os
SEND_WEBHOOK_TASK_RETRIES: list[int] = json.loads(
os.getenv(
"CVAT_SEND_WEBHOOK_TASK_RETRIES",
"[5, 300, 1800, 10800, 86400, 86400, 86400, 86400]",
)
)
"""
Per-attempt delay (seconds) between broker-lev... |
57817b3a8a139110e56eb8d8ffe5f5f7410709703feabbd17dfeb6d2d2fa729d | Python | 464 | 19 | import torch
from enformer_pytorch import from_pretrained
enformer = from_pretrained('EleutherAI/enformer-official-rough', use_tf_gamma = False).cuda()
enformer.eval()
data = torch.load('./data/test-sample.pt')
seq, target = data['sequence'].cuda(), data['target'].cuda()
with torch.no_grad():
corr_coef = enforme... |
68e6a1c914626686bc927300bea2f07fc78a6986f4f3ebe25d4791dceb1fbcfa | Python | 464 | 21 | # Copyright (C) CVAT.ai Corporation
#
# SPDX-License-Identifier: MIT
import cvat_sdk.auto_annotation as cvataa
import cvat_sdk.models as models
import PIL.Image
spec = cvataa.DetectionFunctionSpec(
labels=[
cvataa.label_spec("car", 0),
],
)
def detect(
context: cvataa.DetectionFunctionContext, i... |
1a420edfc43f0867b20f7e4d151fe8f61ae6730e1c08903d85985cf0b57dd773 | Python | 465 | 9 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['effnetb1_cutmix_augmix_sam_e1_5avg_424x377'] = lambda: ModelCommitment(
identifier='effnetb1_cutmix_augmix_sam_e1_5avg_424x377',
... |
5ff99609fcabaedc2102bdd6e47c9d6671eec7a5a10b9e28809b7f40251ae406 | Python | 465 | 23 | #!/usr/bin/env python3
# coding: utf-8
import json
import nrn_validation as V
V.override_defaults_from_args()
# dendrite geometry: 200 µm long, 1 µm diameter.
geom = [(0, 1), (200, 1)]
model = V.VModel()
model.add_soma(12.6157)
model.add_dendrite("dend", geom)
model.add_exp_syn("dend")
model.add_spike(10, 0.04)
mo... |
a9442b0d44a65df0750f09152bf90773e3de06f5b179f234eb66c138dd3c66db | Python | 465 | 19 | """
Config file to set default dirs
"""
# import configparser
# from pathlib import Path
#
# CONFIG_FILENAME = "napari_dmc_brainmap.conf"
# CONFIG_PATH = Path(resource_filename("napari_dmc_brainmap", CONFIG_FILENAME))
#
# # 2 level dictionary for sections and values:
# DEFAULT_PATH = Path.home() / ".napari_dmc_brainm... |
d65744bd4fe205ed448641928221fb939692e48b3e05d3ea7e8e91d974790001 | Python | 465 | 14 | import os
data_dir = "Y:/data/"
if not os.path.exists(data_dir):
data_dir = "/cifs/diedrichsen/data/"
if not os.path.exists(data_dir):
data_dir = "/Volumes/diedrichsen_data$/data"
save_dir = 'C:/Users/barafat/Diedrichsenlab Dropbox/Lab Manager/Papers/MultiTaskBattery_paper/Figures'
if not os.path.exists(save_... |
e5a01447db79523624dc25294e52ceee7ad748d6f0dbea75b14a506182a20a29 | Python | 465 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['alexnet_random'] = lambda: ModelCommitment(identifier='alexnet_random',
ac... |
03dce58d18a3d542a2e707d2f6c02f6d20c07695cb1ffb750749f32d04d69cdb | Python | 466 | 21 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 3 15:32:19 2018
@author: kblackw1
"""
import numpy as np
from matplotlib import pyplot as plt
plt.ion()
f = plt.figure()
ax = f.gca()
mouse='Mouse2'
middles=np.loadtxt(mouse+'_bins.txt')
f.suptitle(mouse)
for condition in ['saline','ethanol']:
fname=... |
2062bcbc8f31195259a8936bb65b7b9ae7f69a5eacaf716ab82a4598fa73eb25 | Python | 466 | 18 | #!/usr/bin/env python
"""
Mosaic tests.
"""
from storm_control.test.hal.standardHalTest import halTest
def test_hal_gms_1():
halTest(config_xml = "none_tcp_config.xml",
class_name = "GetMosaicSettings1",
test_module = "storm_control.test.hal.tcp_tests")
def test_hal_gms_2():
halTest... |
537f2794ac8300984b5a8d9a79575091bbc1284ff7e196a4292215013b797f6c | Python | 466 | 16 | from bread.data import Segmentation
import numpy as np
import itertools
__all__ = ['assignment_from_segmentation']
def assignment_from_segmentation(seg: Segmentation, idt1: int, idt2: int):
cellids1 = seg.cell_ids(idt1)
cellids2 = seg.cell_ids(idt2)
ass = np.empty((len(cellids1), len(cellids2)), dtype=int)
fo... |
5e6542dd7cbff8a50bb3dc3a49e566cd3511c5c32b1f6c30194d321ff97346ed | Python | 466 | 17 | """Define different loss classes for image, label and regularization."""
# flake8: noqa
from deepreg.loss.deform import BendingEnergy, GradientNorm
from deepreg.loss.image import (
GlobalMutualInformation,
GlobalMutualInformationLoss,
LocalNormalizedCrossCorrelation,
LocalNormalizedCrossCorrelationLoss,... |
d5dc6ef7bfeb8e88887752053a9a7accb71550601dd73c62340bb975d2a21908 | Python | 466 | 10 | import setuptools
setuptools.setup(
name="Spa3D",
version="Spa3D-1.0",
author="Chen Tang",
author_email="Chen.Tang@UTSouthwestern.edu",
description="Spa3D is an algorithm that utilizes spatial pattern enhancement and graph convolutional neural network model to reconstruct 3D-based spatial structur... |
9eb21aa9fefbe13dd59f031e4da80ccf62d22e4640dd22f9bd55d5cc494cbf1b | Python | 467 | 23 | #!/usr/bin/env python3
# coding: utf-8
import json
import nrn_validation as V
V.override_defaults_from_args()
# dendrite geometry: 200 µm long, 1 µm diameter.
geom = [(0, 1), (200, 1)]
model = V.VModel()
model.add_soma(12.6157)
model.add_dendrite("dend", geom)
model.add_exp2_syn("dend")
model.add_spike(10, 0.04)
m... |
a1d64ca50e9f54215cd87e7a47ab94373fd8b7eec396bd00ac8a736d950f4184 | Python | 467 | 17 | from setuptools import setup, find_packages
REQUIRED = [
'scanpy[leiden]>=1.9.1, <=1.9.3',
'numpy>=1.22.4, <=1.24.4',
'pandas>=1.5.3, <=1.5.3',
'numba>=0.56.4, <=0.56.4',
'harmonypy>=0.0.9, <=0.0.9',
]
setup(name='CAMEX',
author='Zhen-Hao Guo',
author_email='guozhenhao@tongji.edu.cn',
... |
7a9feb5de58022130dce7593005c43d5b3268b355d3ec9fe119355e48cde72cd | Python | 469 | 7 | from brainscore_vision import model_registry
from brainscore_vision.model_helpers.brain_transformation import ModelCommitment
from .model import get_model, get_layers
model_registry['briaai_rmbg_1_4'] = lambda: ModelCommitment(identifier='briaai_rmbg_1_4',
... |
8b42e6835490929eb5ae640105013a7131dba7f4a4ad8c28f1894b62028c87a3 | Python | 469 | 14 | """Base structures for representing data transformation steps of Models.
Layer : Top-level component. Implements an `evaluate` method, which carries
out the transformation.
Phi : Stores and manages fittable parameters for the transformation.
Parameter : Low-level representation of individual para... |
4a2e0f0902d1cc7eb3501742637aeac36be6e8341ebce1ce803e27895251993f | Python | 470 | 12 | import fasttext
import fasttext.util as ft_util
data_path = 'D:\Projects\Context Dependent Learning\datafile'
# ft_util.download_model('en', if_exists='ignore', datapath=datapath)
def word2vec(name_list, dimension, datapath=data_path):
ft = fasttext.load_model(datapath +'\cc.en.300.bin')
ft_util.reduce_... |
57af7325b30d2403af884a220a1074ffda6376d2e3a9c4cfd1b158cbe349a05f | Python | 470 | 17 | """Get example data.
"""
import os
def get_data(name, output_dir):
if os.path.exists(output_dir):
print(f"{output_dir} already downloaded. Skipping..")
return
os.system(f"osf -p by2tc fetch data/{name}.zip")
os.system(f"unzip -o {name}.zip -d {output_dir}")
os.remove(f"{name}.zip")
... |
c5b650158a552ee10dc5eac17e9992068c8773bf70cfd0a34c210acdb02c1d60 | Python | 470 | 16 | """
Primary symbols include classes and functions for visualization, configuration, timing and generally useful utilities.
"""
from . import models
from . import ops
from . import util
from . import visualization as vis
from . import data
from . import mpi
from . import callbacks
from . import optim
from .data import t... |
7e08a96f416d0aef451ae9af11546b793d99fb24b20a2fce5e7e24b1e582086e | Python | 471 | 14 | def register_external(name, func):
"""
Enables EIANN to look up external custom user functions by str name.
:param name: str
:param func: callable
"""
if not isinstance(name, str) and callable(func):
raise Exception('register_external: requires str name of function and imported callable;... |
4ac34d028612675016ffb4aa70747fb715ae31c927b72a193a02452c46af56dc | Python | 473 | 15 | """Test QtMultimediaWidgets."""
from qtpy import PYQT5, PYSIDE2
def test_qtmultimediawidgets():
"""Test the qtpy.QtMultimediaWidgets namespace"""
from qtpy import QtMultimediaWidgets
if PYQT5 or PYSIDE2:
assert QtMultimediaWidgets.QCameraViewfinder is not None
# assert QtMultimediaWidge... |
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