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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ee48436c60a5877970258f407f9b69ebc8ea1a0c | 1,592 | py | Python | fake_users.py | Mohamed-Kaizen/django_playground | 0ca623041857f15c06bd2f9c8edcd2b54b4c4897 | [
"MIT"
] | null | null | null | fake_users.py | Mohamed-Kaizen/django_playground | 0ca623041857f15c06bd2f9c8edcd2b54b4c4897 | [
"MIT"
] | 3 | 2021-06-08T21:15:15.000Z | 2022-03-12T00:35:49.000Z | fake_users.py | Mohamed-Kaizen/django_playground | 0ca623041857f15c06bd2f9c8edcd2b54b4c4897 | [
"MIT"
] | null | null | null | """ creating fake user for test"""
import os
import secrets
import django
from django.contrib.auth import get_user_model
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "django_playground.settings",)
django.setup()
user = get_user_model()
def create_users(*, users: int = 5) -> None:
"""
create random us... | 24.492308 | 78 | 0.623116 | """ creating fake user for test"""
import os
import secrets
import django
import factory
from django.contrib.auth import get_user_model
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "django_playground.settings",)
django.setup()
user = get_user_model()
class UserFactory(factory.Factory):
"""
Using facto... | 0 | 0 | 0 | 457 | 0 | 0 | 0 | -7 | 45 |
81ff2f8b4868cae15d89f546ff0c784896af2164 | 413 | py | Python | decisiontrees/entropy.py | C3NZ/ds2-1 | 743416356ddc6b50f0c41bcba8a21018f98a77da | [
"MIT"
] | null | null | null | decisiontrees/entropy.py | C3NZ/ds2-1 | 743416356ddc6b50f0c41bcba8a21018f98a77da | [
"MIT"
] | null | null | null | decisiontrees/entropy.py | C3NZ/ds2-1 | 743416356ddc6b50f0c41bcba8a21018f98a77da | [
"MIT"
] | null | null | null |
# Given the first Probability of our coin, calculate the entropy
# Calculate the entropy of our 3 coins
print(calc_entropy(0.5))
print(calc_entropy(0.9))
print(calc_entropy(0.1))
# Calculate the entropy of someone playing tennis from our tennis dataset
# (9 out of 14 people said no)
print(calc_entropy(9 / 14))
| 24.294118 | 73 | 0.714286 | import numpy as np
# Given the first Probability of our coin, calculate the entropy
def calc_entropy(P):
return -(P * np.log2(P) + (1 - P) * np.log2(1 - P))
# Calculate the entropy of our 3 coins
print(calc_entropy(0.5))
print(calc_entropy(0.9))
print(calc_entropy(0.1))
# Calculate the entropy of someone playi... | 0 | 0 | 0 | 0 | 0 | 55 | 0 | -3 | 44 |
11dfc12a42aa0ef811cd035fdd797354255ee364 | 1,475 | py | Python | capanno_utils/helpers/validate_cwl.py | xDBio-Inc/xD-CWL-utils | a7c602e221f3711aeea41a68e868eb13b37550c5 | [
"Apache-2.0"
] | null | null | null | capanno_utils/helpers/validate_cwl.py | xDBio-Inc/xD-CWL-utils | a7c602e221f3711aeea41a68e868eb13b37550c5 | [
"Apache-2.0"
] | 1 | 2019-12-16T17:06:44.000Z | 2019-12-16T17:06:44.000Z | capanno_utils/helpers/validate_cwl.py | xDBio-Inc/xD-CWL-utils | a7c602e221f3711aeea41a68e868eb13b37550c5 | [
"Apache-2.0"
] | 1 | 2020-10-21T19:50:36.000Z | 2020-10-21T19:50:36.000Z | import logging
import os
from pathlib import Path
from urllib.parse import urlparse
from schema_salad.exceptions import ValidationException
from schema_salad.ref_resolver import file_uri
from cwltool.load_tool import resolve_and_validate_document, fetch_document
from cwltool.main import main as cwl_tool
def validate_... | 37.820513 | 113 | 0.736949 | import logging
import os
from pathlib import Path
from urllib.parse import urlparse
from schema_salad.exceptions import ValidationException
from schema_salad.ref_resolver import file_uri
from cwltool.load_tool import resolve_and_validate_document, fetch_document
from cwltool.main import main as cwl_tool
def validate_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
52905630110a3b5de04eda3b9d173db216cd1168 | 2,529 | py | Python | src/mlsp_challenge/utils/validate_submission.py | Hguimaraes/SE3D | 5c3cfb19c42405b507bfa1b894c66edd49ec18bb | [
"MIT"
] | 3 | 2021-12-01T15:22:22.000Z | 2022-03-06T13:12:18.000Z | src/mlsp_challenge/utils/validate_submission.py | Hguimaraes/SE3D | 5c3cfb19c42405b507bfa1b894c66edd49ec18bb | [
"MIT"
] | null | null | null | src/mlsp_challenge/utils/validate_submission.py | Hguimaraes/SE3D | 5c3cfb19c42405b507bfa1b894c66edd49ec18bb | [
"MIT"
] | null | null | null | import os
import numpy as np
import librosa
'''
Check if the the submssion folders are valid: all files must have the
correct format, shape and naming.
WORK IN PROGRESS...
'''
def validate_task1_submission(submission_folder, test_folder):
'''
Args:
- submission_folder: folder containing the model's output ... | 43.603448 | 99 | 0.647291 | import os, sys
import numpy as np
import pandas as pd
import librosa
'''
Check if the the submssion folders are valid: all files must have the
correct format, shape and naming.
WORK IN PROGRESS...
'''
def validate_task1_submission(submission_folder, test_folder):
'''
Args:
- submission_folder: folder conta... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 22 |
a454e2ab72d06fa2eb9341ae81746261c70849b3 | 5,701 | py | Python | learn_layer/train_artificial.py | tpimentelms/phonotactic-complexity | 70d0a9e45943096d7640eaf7277033e3920408c9 | [
"MIT"
] | 5 | 2020-04-17T20:46:11.000Z | 2022-03-02T10:32:00.000Z | learn_layer/train_artificial.py | tpimentelms/phonotactic-complexity | 70d0a9e45943096d7640eaf7277033e3920408c9 | [
"MIT"
] | null | null | null | learn_layer/train_artificial.py | tpimentelms/phonotactic-complexity | 70d0a9e45943096d7640eaf7277033e3920408c9 | [
"MIT"
] | null | null | null |
import sys
sys.path.append('./')
from util import argparser
full_results = [['lang', 'artificial', 'avg_len', 'test_shannon', 'test_loss',
'test_acc', 'val_loss', 'val_acc', 'best_epoch']]
if __name__ == '__main__':
args = argparser.parse_args(csv_folder='artificial/%s/normal')
... | 43.853846 | 114 | 0.678828 | import pandas as pd
import numpy as np
import sys
sys.path.append('./')
from train_base import write_csv, read_info, convert_to_loader, _run_language
from util import argparser
full_results = [['lang', 'artificial', 'avg_len', 'test_shannon', 'test_loss',
'test_acc', 'val_loss', 'val_acc', 'best_epoc... | 46 | 0 | 0 | 0 | 0 | 4,818 | 0 | 51 | 342 |
5254837f133c5e006b1604f6c976453db56c2ee0 | 7,368 | py | Python | neuro/metrics.py | idea-iitd/NeuroSED | 8df1526046c11f6cd676877a6625958016e039c2 | [
"MIT"
] | 1 | 2022-03-27T20:18:53.000Z | 2022-03-27T20:18:53.000Z | neuro/metrics.py | idea-iitd/NeuroSED | 8df1526046c11f6cd676877a6625958016e039c2 | [
"MIT"
] | null | null | null | neuro/metrics.py | idea-iitd/NeuroSED | 8df1526046c11f6cd676877a6625958016e039c2 | [
"MIT"
] | null | null | null | import sys
sys.path.insert(0, '../..')
sys.path.insert(0, '../../pyged/lib') | 40.043478 | 103 | 0.566097 | import sklearn as sk
import sklearn.metrics
import torch
import torch_geometric as tg
import torch_geometric.data
from tqdm.auto import tqdm
from . import config, utils
import sys
sys.path.insert(0, '../..')
sys.path.insert(0, '../../pyged/lib')
import pyged
def err(lb, ub, pred):
lb, ub, pred = (x.to(config.devi... | 0 | 0 | 0 | 0 | 0 | 6,560 | 0 | 6 | 726 |
cb189b515e001d19f1ea76d9958afa78663c6dbc | 11,599 | py | Python | tgback_utils.py | NotStatilko/tgback | 4f2c1f92ac1f244c4adeac3ac5624c103f59ef93 | [
"MIT"
] | 10 | 2019-10-14T13:50:12.000Z | 2020-11-21T15:26:10.000Z | tgback_utils.py | NotStatilko/tgback | 4f2c1f92ac1f244c4adeac3ac5624c103f59ef93 | [
"MIT"
] | 10 | 2019-10-14T15:25:05.000Z | 2021-07-02T17:54:31.000Z | tgback_utils.py | NotStatilko/tgback | 4f2c1f92ac1f244c4adeac3ac5624c103f59ef93 | [
"MIT"
] | 3 | 2019-12-08T22:16:39.000Z | 2021-09-27T14:17:20.000Z | try:
from PIL import UnidentifiedImageError
qr_available = True
except ImportError:
qr_available = False
image_error = IndexError if not qr_available else UnidentifiedImageError
from base64 import b64decode
from telethon import TelegramClient
from reedsolo import RSCodec
VERSION = 'v4.0'
TelegramClient._... | 37.905229 | 99 | 0.648677 | try:
from PIL import Image, ImageOps, UnidentifiedImageError
from pyzbar import pyzbar
qr_available = True
except ImportError:
qr_available = False
image_error = IndexError if not qr_available else UnidentifiedImageError
from os import urandom
from hashlib import scrypt
from itertools import cycle
fro... | 0 | 551 | 3,613 | 3,106 | 0 | 2,182 | 0 | 445 | 611 |
bc7defdc4e5a41422ec2a6c37de04f8bdc9dd9dd | 13,747 | py | Python | tests/test_bilateral_approx_cuda.py | tatuanb/monai_V1 | 41e492b61c78bb3c303f38b03fe9fdc74a3c2e96 | [
"Apache-2.0"
] | 2,971 | 2019-10-16T23:53:16.000Z | 2022-03-31T20:58:24.000Z | tests/test_bilateral_approx_cuda.py | catherine1996cn/MONAI | ff9bbfa82763de46cbac75553e340633e3d84ecb | [
"Apache-2.0"
] | 2,851 | 2020-01-10T16:23:44.000Z | 2022-03-31T22:14:53.000Z | tests/test_bilateral_approx_cuda.py | catherine1996cn/MONAI | ff9bbfa82763de46cbac75553e340633e3d84ecb | [
"Apache-2.0"
] | 614 | 2020-01-14T19:18:01.000Z | 2022-03-31T14:06:14.000Z | # Copyright 2020 - 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in wri... | 33.94321 | 106 | 0.407071 | # Copyright 2020 - 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in wri... | 0 | 1,336 | 0 | 0 | 0 | 0 | 0 | 103 | 157 |
3d135bbfccb58f323ee103f730f1f3145c47d1e2 | 7,816 | py | Python | graph_S_and_b.py | haydenshively/AME-261 | 1cf686835e4eead3a5d23cae65dd7644515fe665 | [
"MIT"
] | 1 | 2022-03-29T23:59:23.000Z | 2022-03-29T23:59:23.000Z | graph_S_and_b.py | haydenshively/AME-261 | 1cf686835e4eead3a5d23cae65dd7644515fe665 | [
"MIT"
] | null | null | null | graph_S_and_b.py | haydenshively/AME-261 | 1cf686835e4eead3a5d23cae65dd7644515fe665 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
import sys
import json
from copy import copy
import numpy as np
from hangar import planes
requirements = {}
with open('requirements.json') as f:
requirements = json.load(f)
print('Mission Requirements:')
print(json.dumps(requirements, ind... | 43.664804 | 119 | 0.53915 | def max_payload(plane, speed):
Cl = plane.Cl(speed)
Cd_c = plane.Cd_c(Cl, speed) if (plane.tc_max is not None) and (plane.Lam is not None) else 0
drag = plane.drag(plane.Cd(plane.Cd_i(Cl), Cd_c), speed)
T_a = plane.jet_thrust_available()
while T_a > drag:
plane.W_payload += 100
Cl = ... | 0 | 0 | 0 | 0 | 0 | 551 | 0 | 26 | 78 |
bf7d6576d1a10880f060477a1f5bb83d11f7431d | 10,882 | py | Python | trajnetbaselines/trajnetbaselines/mlp/utils.py | vita-epfl/RRB | 9099356565c4150d2c53e9a6cfc75bdb792a8929 | [
"BSD-2-Clause"
] | 37 | 2021-04-11T06:23:19.000Z | 2022-03-27T22:06:14.000Z | trajnetbaselines/trajnetbaselines/mlp/utils.py | swb19/RRB | 9099356565c4150d2c53e9a6cfc75bdb792a8929 | [
"BSD-2-Clause"
] | 6 | 2021-03-15T14:54:43.000Z | 2022-03-04T16:32:16.000Z | trajnetbaselines/trajnetbaselines/mlp/utils.py | swb19/RRB | 9099356565c4150d2c53e9a6cfc75bdb792a8929 | [
"BSD-2-Clause"
] | 6 | 2021-05-11T08:34:02.000Z | 2022-03-17T09:48:59.000Z | #from mpc import mpc
#from mpc.mpc import QuadCost, LinDx, GradMethods
import torch.nn as nn
from .. import augmentation
import warnings
warnings.filterwarnings("ignore")
| 51.57346 | 176 | 0.593457 | #from mpc import mpc
#from mpc.mpc import QuadCost, LinDx, GradMethods
import torch
import numpy as np
import torch.nn as nn
import pdb
from ..scene_funcs.cnn import CNN
from ..scene_funcs.scene_funcs import scene_funcs
from .. import augmentation
import time
from .utils import *
import cv2
import trajnetba... | 0 | 0 | 0 | 1,152 | 0 | 9,222 | 0 | -3 | 332 |
e78120f44ffcb5a7e02cd8c58305ad138fe81282 | 1,759 | py | Python | Learnpy/manytask/shareingvar.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | 1 | 2021-07-08T05:09:38.000Z | 2021-07-08T05:09:38.000Z | Learnpy/manytask/shareingvar.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | null | null | null | Learnpy/manytask/shareingvar.py | JackyYuanjie/python-scripts | 490eb9668bda6db004ae87d204588fb6ffe56051 | [
"Apache-2.0"
] | 1 | 2020-01-09T07:29:17.000Z | 2020-01-09T07:29:17.000Z | # -*- coding:utf-8 -*-
import threading
import time
"""
.
work1,
work2.
"""
"""
#
num = 0
# work1
def work1():
# num
global num
for i in range(10):
num += 1
print("work1--------",num)
# work2
def work2():
# num.
print("work2=======",num)
if __name__=="__main__":
# 2
... | 16.439252 | 72 | 0.625355 | # -*- coding:utf-8 -*-
import threading
import time
"""
多个线程方法中可以共用全局变量.
查看work1线程对全局变量的修改,
在work2中能否查看修改后的结果.
"""
"""
# 定义全局变量
num = 0
# work1
def work1():
# 声明num是一个全局变量
global num
for i in range(10):
num += 1
print("work1--------",num)
# work2
def work2():
# num可以在多个线程中共享.
p... | 1,191 | 0 | 0 | 0 | 0 | 201 | 0 | 0 | 44 |
39a28b7e7d87da34ecd64ff50d2f111db9f9b19f | 209 | py | Python | OmegaErp/contact/urls.py | OMAR-EHAB777/FerpMenu | 6aee4616bc9bc7801023fe51acfa28e1e1267b66 | [
"BSD-3-Clause"
] | null | null | null | OmegaErp/contact/urls.py | OMAR-EHAB777/FerpMenu | 6aee4616bc9bc7801023fe51acfa28e1e1267b66 | [
"BSD-3-Clause"
] | null | null | null | OmegaErp/contact/urls.py | OMAR-EHAB777/FerpMenu | 6aee4616bc9bc7801023fe51acfa28e1e1267b66 | [
"BSD-3-Clause"
] | null | null | null | from django.urls import path
from . import views
app_name = 'contact'
urlpatterns = [
path('',views.send_email , name='send_email' ),
path('success/' , views.send_success , name='send_success'),
] | 17.416667 | 64 | 0.679426 | from django.urls import path
from . import views
app_name = 'contact'
urlpatterns = [
path('',views.send_email , name='send_email' ),
path('success/' , views.send_success , name='send_success'),
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
60aec61449730e216ed88ac128c52a3d3c36e74a | 1,898 | py | Python | allmychanges/downloaders/vcs/git_commits.py | AllMyChanges/allmychanges.com | 6729e9bddee8f76068737383d641ca3bc6e85422 | [
"BSD-2-Clause"
] | 46 | 2015-01-31T10:19:26.000Z | 2019-07-01T14:00:01.000Z | allmychanges/downloaders/vcs/git_commits.py | AllMyChanges/allmychanges.com | 6729e9bddee8f76068737383d641ca3bc6e85422 | [
"BSD-2-Clause"
] | 59 | 2015-02-27T12:01:22.000Z | 2021-06-10T23:01:10.000Z | allmychanges/downloaders/vcs/git_commits.py | AllMyChanges/allmychanges.com | 6729e9bddee8f76068737383d641ca3bc6e85422 | [
"BSD-2-Clause"
] | 11 | 2015-02-22T19:55:13.000Z | 2020-06-05T18:20:03.000Z |
from twiggy_goodies.threading import log
from allmychanges.downloaders.vcs.git import (_guess)
def guess(*args, **kwargs):
"""We build changelog from commit messages only if there are
tags like version numbers or a special version extractor is
available for this repository.
"""
with log.name_and... | 30.126984 | 73 | 0.631718 | import tempfile
import os
from django.conf import settings
from twiggy_goodies.threading import log
from allmychanges.downloaders.vcs.git import (
do,
_download,
_guess)
from allmychanges.vcs_extractor import (
get_versions_from_vcs,
choose_version_extractor)
from allmychanges.crawler import _extr... | 0 | 0 | 0 | 0 | 0 | 1,114 | 0 | 172 | 205 |
a7a34a7615109d129221f1339e9488f6a2435cae | 969 | py | Python | PyMesh/scripts/convex_hull.py | VincentLefevre/3D-parallax | 8eab905fcc591e1bd7ddbbb01ad21427286c02e3 | [
"MIT"
] | 73 | 2021-01-05T07:25:51.000Z | 2022-03-17T20:46:01.000Z | PyMesh/scripts/convex_hull.py | VincentLefevre/3D-parallax | 8eab905fcc591e1bd7ddbbb01ad21427286c02e3 | [
"MIT"
] | 1 | 2021-01-05T11:45:36.000Z | 2021-01-05T20:55:28.000Z | PyMesh/scripts/convex_hull.py | VincentLefevre/3D-parallax | 8eab905fcc591e1bd7ddbbb01ad21427286c02e3 | [
"MIT"
] | 4 | 2021-01-05T10:27:50.000Z | 2021-01-06T12:02:57.000Z | #!/usr/bin/env python
"""
Compute the convex hull of a given mesh.
"""
if __name__ == "__main__":
main();
| 28.5 | 69 | 0.635707 | #!/usr/bin/env python
"""
Compute the convex hull of a given mesh.
"""
import argparse
import pymesh
import numpy as np
def parse_args():
parser = argparse.ArgumentParser(__doc__);
parser.add_argument("--engine", default="qhull",
choices=["qhull", "cgal", "triangle", "tetgen"]);
... | 0 | 0 | 0 | 0 | 0 | 745 | 0 | -17 | 121 |
b35c7fb8f1f84e7a4003966d38b7fea6bd6e6da2 | 3,202 | py | Python | causalrep_expms/sec2-4-3-2-celebA/src/download_celeba.py | yixinwang/representation-causal-public | f092baf600dfbcfa998e8f7ba9c9e751a8524739 | [
"MIT"
] | 23 | 2021-09-09T21:03:04.000Z | 2022-03-27T16:09:02.000Z | causalrep_expms/sec2-4-3-2-celebA/src/download_celeba.py | cheetooooo/representation-causal-public | f092baf600dfbcfa998e8f7ba9c9e751a8524739 | [
"MIT"
] | 1 | 2022-03-17T17:28:06.000Z | 2022-03-17T17:28:06.000Z | causalrep_expms/sec2-4-3-2-celebA/src/download_celeba.py | cheetooooo/representation-causal-public | f092baf600dfbcfa998e8f7ba9c9e751a8524739 | [
"MIT"
] | 9 | 2021-09-26T04:10:40.000Z | 2022-03-23T05:41:14.000Z | # https://stackoverflow.com/questions/65528568/how-do-i-load-the-celeba-dataset-on-google-colab-using-torch-vision-without-ru
import os
import zipfile
import gdown
import torch
from torchvision import transforms
## Setup
# Number of gpus available
ngpu = 1
device = torch.device('cuda:0' if (
torch.cuda.is_availa... | 33.010309 | 125 | 0.69925 | # https://stackoverflow.com/questions/65528568/how-do-i-load-the-celeba-dataset-on-google-colab-using-torch-vision-without-ru
import os
import zipfile
import gdown
import torch
from natsort import natsorted
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
## Setup
# Numbe... | 0 | 0 | 0 | 799 | 0 | 0 | 0 | 23 | 88 |
b55fec40cbf178237d8128467d8469febdb2a32b | 12,752 | py | Python | chemex/parameters/database.py | gbouvignies/chemex | b021650928b6db930281957222529bc6bcab8aa2 | [
"BSD-3-Clause"
] | 11 | 2015-03-16T16:45:42.000Z | 2018-09-17T08:43:58.000Z | chemex/parameters/database.py | gbouvignies/chemex | b021650928b6db930281957222529bc6bcab8aa2 | [
"BSD-3-Clause"
] | 33 | 2015-01-12T16:46:48.000Z | 2018-03-29T15:01:15.000Z | chemex/parameters/database.py | gbouvignies/chemex | b021650928b6db930281957222529bc6bcab8aa2 | [
"BSD-3-Clause"
] | 8 | 2015-01-15T21:53:16.000Z | 2018-01-04T15:33:52.000Z | from __future__ import annotations
from re import compile
from chemex.configuration.methods import Method
from chemex.messages import print_status_changes
_FLOAT = r"[-+]?(\d+(\.\d*)?|\.\d+)([eE][-+]?\d+)?"
_RE_PARAM_NAME = compile(r"\[(.+?)\]")
_RE_GRID_DEFINITION = compile(
rf"(lin[(]{_FLOAT},{_FLOAT},\d+[)]$)|... | 35.820225 | 92 | 0.666797 | from __future__ import annotations
from collections import Counter
from collections import defaultdict
from collections.abc import Hashable
from collections.abc import Iterable
from collections.abc import Sequence
from dataclasses import dataclass
from dataclasses import field
from re import compile
from typing import... | 0 | 9,868 | 0 | 496 | 0 | 236 | 0 | 266 | 446 |
a1fb856a6d305bc38d137071e890da513e3ca7de | 49,734 | py | Python | mvpa2/tests/test_clf.py | adswa/PyMVPA | fe0b7655bd2b89b4946fc324279abfb5c41869df | [
"MIT"
] | 1 | 2017-06-07T19:54:07.000Z | 2017-06-07T19:54:07.000Z | mvpa2/tests/test_clf.py | mih/PyMVPA | 8dd092277a5410b784bd71f760e39a231b3e45ce | [
"MIT"
] | null | null | null | mvpa2/tests/test_clf.py | mih/PyMVPA | 8dd092277a5410b784bd71f760e39a231b3e45ce | [
"MIT"
] | null | null | null | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | 43.741425 | 127 | 0.572365 | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | 0 | 31,484 | 0 | 16,172 | 0 | 59 | 0 | 676 | 500 |
ff4e0847b700991954e92df2144998e43c4b052d | 1,156 | py | Python | src/labster/domain2/services/workflow/workflow.py | jean3108/labandco | 4317e7d3875f10d76076ad5fc68c1ba3c12badba | [
"Apache-2.0"
] | 2 | 2019-11-11T22:09:58.000Z | 2020-01-20T19:44:30.000Z | src/labster/domain2/services/workflow/workflow.py | jean3108/labandco | 4317e7d3875f10d76076ad5fc68c1ba3c12badba | [
"Apache-2.0"
] | 15 | 2020-03-31T10:58:37.000Z | 2022-01-22T09:14:49.000Z | src/labster/domain2/services/workflow/workflow.py | jean3108/labandco | 4317e7d3875f10d76076ad5fc68c1ba3c12badba | [
"Apache-2.0"
] | 2 | 2021-05-28T12:20:24.000Z | 2021-09-08T11:27:57.000Z | from __future__ import annotations
| 28.9 | 78 | 0.730969 | from __future__ import annotations
from labster.lib.workflow import Workflow
from .states import ALL_STATES, EN_EDITION
from .transitions import ABANDONNER, ACCUSER_RECEPTION, COMMENTER, \
CONFIRMER_FINALISATION_DGRTT, CONFIRMER_RECEVABILITE_DGRTT, DESARCHIVER, \
PRENDRE_LA_MAIN_DGRTT, PRENDRE_LA_MAIN_GESTION... | 0 | 0 | 0 | 699 | 0 | 0 | 0 | 330 | 91 |
7d960b4e902a6c439e9f6caf2564ef6459733fd4 | 527 | py | Python | AutomateTheBoringStuff/bulletPointAdder.py | pythoncoder999/Python | 4a75698da65a26ffedb28cf5cefcc03095641eb9 | [
"MIT"
] | 1 | 2019-12-30T12:45:41.000Z | 2019-12-30T12:45:41.000Z | AutomateTheBoringStuff/bulletPointAdder.py | pythoncoder999/Python | 4a75698da65a26ffedb28cf5cefcc03095641eb9 | [
"MIT"
] | null | null | null | AutomateTheBoringStuff/bulletPointAdder.py | pythoncoder999/Python | 4a75698da65a26ffedb28cf5cefcc03095641eb9 | [
"MIT"
] | 1 | 2021-04-20T19:56:27.000Z | 2021-04-20T19:56:27.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 28 13:36:21 2019
@author: Gunardi Saputra
"""
#! python3
# bulletPointAdder.py = Adds Wikipedia bullet points to the start
# of each line of text on the clipboard
import pyperclip
text = pyperclip.paste()
pyperclip.copy(text)
# Separate lines and add stars.
lines = tex... | 22.913043 | 73 | 0.686907 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 28 13:36:21 2019
@author: Gunardi Saputra
"""
#! python3
# bulletPointAdder.py = Adds Wikipedia bullet points to the start
# of each line of text on the clipboard
import pyperclip
text = pyperclip.paste()
pyperclip.copy(text)
# Separate lines and add stars.
lines = tex... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b8bbb7a53502c6d968a64a61d057371a31830cf3 | 7,785 | py | Python | designate/tests/unit/agent/backends/test_knot2.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 145 | 2015-01-02T09:35:53.000Z | 2021-12-14T17:03:53.000Z | designate/tests/unit/agent/backends/test_knot2.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 6 | 2015-03-15T00:22:27.000Z | 2019-12-16T09:37:38.000Z | designate/tests/unit/agent/backends/test_knot2.py | mrlesmithjr/designate | bff3d5f6e31fe595a77143ec4ac779c187bf72a8 | [
"Apache-2.0"
] | 109 | 2015-01-13T16:47:34.000Z | 2021-03-15T13:18:48.000Z | # Copyright 2016 Hewlett Packard Enterprise Development Company LP
#
# Author: Federico Ceratto <federico.ceratto@hpe.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 obtain
# a copy of the License at
#
# http://www.... | 34.295154 | 77 | 0.668337 | # Copyright 2016 Hewlett Packard Enterprise Development Company LP
#
# Author: Federico Ceratto <federico.ceratto@hpe.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 obtain
# a copy of the License at
#
# http://www.... | 0 | 3,830 | 0 | 2,977 | 0 | 0 | 0 | 104 | 202 |
40ddc8c8799f42573a12874cbe3b8060f292dffc | 12,191 | py | Python | helpers.py | drhay53/SALT2X | 5d51ded9d6feabe9846edc2f75f7956efbc38fa4 | [
"MIT"
] | null | null | null | helpers.py | drhay53/SALT2X | 5d51ded9d6feabe9846edc2f75f7956efbc38fa4 | [
"MIT"
] | null | null | null | helpers.py | drhay53/SALT2X | 5d51ded9d6feabe9846edc2f75f7956efbc38fa4 | [
"MIT"
] | null | null | null | import gzip
import cPickle
def save(object, filename, protocol=-1):
"""Saves a compressed object to disk
"""
file = gzip.GzipFile(filename, 'wb')
cPickle.dump(object, file, protocol)
file.close()
def load( filename ):
"""Loads a compressed object from disk
"""
file = gzip.GzipFile(fil... | 43.539286 | 100 | 0.573948 | import numpy as np
import sncosmo
import glob
from astropy import units as u
import os
import gzip
import cPickle
def dump_emcee_results(chains, outfile, sn_name, z, chisq, dof, survey, maxll=True):
res = {}
for k in chains.keys():
res[k] = np.percentile(chains[k], [16,50,84])
if maxll:
max... | 0 | 0 | 0 | 0 | 0 | 11,550 | 0 | -23 | 179 |
23f316fa700def2a79c10c119d90eb86450d0415 | 2,139 | py | Python | Friend Requests I: Overall Acceptance Rate.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Friend Requests I: Overall Acceptance Rate.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | Friend Requests I: Overall Acceptance Rate.py | sugia/leetcode | 6facec2a54d1d9f133f420c9bce1d1043f57ebc6 | [
"Apache-2.0"
] | null | null | null | '''
In social network like Facebook or Twitter, people send friend requests and accept others requests as well. Now given two tables as below:
Table: friend_request
| sender_id | send_to_id |request_date|
|-----------|------------|------------|
| 1 | 2 | 2016_06-01 |
| 1 | 3 | 2016_0... | 43.653061 | 267 | 0.639551 | '''
In social network like Facebook or Twitter, people send friend requests and accept others’ requests as well. Now given two tables as below:
Table: friend_request
| sender_id | send_to_id |request_date|
|-----------|------------|------------|
| 1 | 2 | 2016_06-01 |
| 1 | 3 | 2016_... | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a1d4e584d97619329c33386cbfb861427f859e1c | 2,283 | py | Python | src/sst/elements/merlin/tests/dragon_128_test.py | deanchester/sst-elements | cad5463b1a954ce36cd810b0f1df8ea6c453cc5d | [
"BSD-3-Clause"
] | null | null | null | src/sst/elements/merlin/tests/dragon_128_test.py | deanchester/sst-elements | cad5463b1a954ce36cd810b0f1df8ea6c453cc5d | [
"BSD-3-Clause"
] | null | null | null | src/sst/elements/merlin/tests/dragon_128_test.py | deanchester/sst-elements | cad5463b1a954ce36cd810b0f1df8ea6c453cc5d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2009-2021 NTESS. Under the terms
# of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
#
# Copyright (c) 2009-2021, NTESS
# All rights reserved.
#
# This file is part of the SST software package. For license
# information, see the LICEN... | 25.651685 | 69 | 0.659658 | #!/usr/bin/env python
#
# Copyright 2009-2021 NTESS. Under the terms
# of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
#
# Copyright (c) 2009-2021, NTESS
# All rights reserved.
#
# This file is part of the SST software package. For license
# information, see the LICEN... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 111 |
604d06d6f7e65ec0ddbc58b09ced396170ba7187 | 2,280 | py | Python | Archive/boardConvert.py | KristofferLM96/TsetlinMachine-GO | 926091fc70042abe5a67230932398bdab2c46328 | [
"MIT"
] | 2 | 2020-02-27T16:22:08.000Z | 2020-03-22T11:04:35.000Z | Archive/boardConvert.py | KristofferLM96/TsetlinMachine-GO | 926091fc70042abe5a67230932398bdab2c46328 | [
"MIT"
] | null | null | null | Archive/boardConvert.py | KristofferLM96/TsetlinMachine-GO | 926091fc70042abe5a67230932398bdab2c46328 | [
"MIT"
] | null | null | null | import os
import glob
import Go
import time
timestr = time.strftime("%Y%-m%/d--%H-%M-%S")
print("Stating at "+timestr)
path = 'Data/20181218natsukaze_self/01'
output = open("9x9binary.txt", 'w+')
board_size = 9
total_pos = 19
for infile in glob.glob(os.path.join(path, '*.sgf')):
# print("current file is: " ... | 20.727273 | 53 | 0.460965 | import os
import glob
import Go
import time
timestr = time.strftime("%Y%-m%/d--%H-%M-%S")
print("Stating at "+timestr)
path = 'Data/20181218natsukaze_self/01'
output = open("9x9binary.txt", 'w+')
board_size = 9
total_pos = 19
def board(inboard):
result = inboard[0].split("RE")
results = 2
if result[1][... | 0 | 0 | 0 | 0 | 0 | 1,553 | 0 | 0 | 69 |
87e514a6b7af5f849fe43a3f7e256919612759f8 | 17,556 | py | Python | python/services/tpu/node.py | trodge/declarative-resource-client-library | 2cb7718a5074776b3113cc18a7483b54022238f3 | [
"Apache-2.0"
] | 16 | 2021-01-08T19:35:22.000Z | 2022-03-23T16:23:49.000Z | python/services/tpu/node.py | trodge/declarative-resource-client-library | 2cb7718a5074776b3113cc18a7483b54022238f3 | [
"Apache-2.0"
] | 1 | 2021-08-18T19:12:20.000Z | 2021-08-18T19:12:20.000Z | python/services/tpu/node.py | LaudateCorpus1/declarative-resource-client-library | a559c4333587fe9531cef150532e6fcafff153e4 | [
"Apache-2.0"
] | 11 | 2021-03-18T11:27:28.000Z | 2022-03-12T06:49:14.000Z | # Copyright 2021 Google LLC. 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 applicable law o... | 34.833333 | 87 | 0.665527 | # Copyright 2021 Google LLC. 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 applicable law o... | 0 | 6,401 | 0 | 9,521 | 0 | 0 | 0 | 109 | 911 |
c1a3a720520fa0181a91ab42bf42bd43717d8ce3 | 1,181 | py | Python | mariner/server/app.py | hansale/mariner | c4fd5575f35ad4dd859009c87218b9b3a20cc95c | [
"MIT"
] | null | null | null | mariner/server/app.py | hansale/mariner | c4fd5575f35ad4dd859009c87218b9b3a20cc95c | [
"MIT"
] | 1 | 2021-04-19T05:19:31.000Z | 2021-04-19T05:19:31.000Z | mariner/server/app.py | hansale/mariner | c4fd5575f35ad4dd859009c87218b9b3a20cc95c | [
"MIT"
] | null | null | null | import os
from flask import Flask
from flask_wtf.csrf import CSRFProtect
from whitenoise import WhiteNoise
frontend_dist_directory: str = get_frontend_assets_path()
app: Flask = Flask(
__name__,
template_folder=frontend_dist_directory,
static_folder=frontend_dist_directory,
)
csrf = CSRFProtect(app)
# p... | 26.840909 | 88 | 0.701101 | import os
from pathlib import Path
from typing import Sequence
from flask import Flask
from flask_wtf.csrf import CSRFProtect
from whitenoise import WhiteNoise
def get_frontend_assets_path() -> str:
potential_paths: Sequence[Path] = [
Path("./frontend/dist/"),
Path("/opt/venvs/mariner3d/dist/"),
... | 0 | 0 | 0 | 0 | 0 | 402 | 0 | 9 | 67 |
91fc3bb5bed6c734453bcdad540f121435202d8e | 3,886 | py | Python | tests/test_sagemaker/test_sagemaker_models.py | Preskton/moto | c9c30b82867294030833cef292db167955bc8240 | [
"Apache-2.0"
] | 1 | 2021-04-06T12:48:00.000Z | 2021-04-06T12:48:00.000Z | tests/test_sagemaker/test_sagemaker_models.py | Preskton/moto | c9c30b82867294030833cef292db167955bc8240 | [
"Apache-2.0"
] | null | null | null | tests/test_sagemaker/test_sagemaker_models.py | Preskton/moto | c9c30b82867294030833cef292db167955bc8240 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 31.852459 | 87 | 0.67473 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import boto3
from botocore.exceptions import ClientError
import pytest
from moto import mock_sagemaker
import sure # noqa
from moto.sagemaker.models import VpcConfig
class MySageMakerModel(object):
def __init__(self, name, arn, container=None, vp... | 0 | 2,783 | 0 | 677 | 0 | 0 | 0 | 27 | 327 |
5cbc1b71b78f93c32f8df97c87ded94330fb97f5 | 8,798 | py | Python | code/marscudasim/simulators.py | GandalfSaxe/letomes | 5f73a4066fcf69260cb538c105acf898b22e756d | [
"MIT"
] | null | null | null | code/marscudasim/simulators.py | GandalfSaxe/letomes | 5f73a4066fcf69260cb538c105acf898b22e756d | [
"MIT"
] | null | null | null | code/marscudasim/simulators.py | GandalfSaxe/letomes | 5f73a4066fcf69260cb538c105acf898b22e756d | [
"MIT"
] | null | null | null | """
Repeatedly run single integration steps for some initial conditions until some stopping
conditions.
"""
import logging
import time
import numpy as np
from orbsim.r4b_3d import UNIT_TIME
from new_ephemerides import (get_ephemerides)
# from ctypes import cdll
cudasim = cdll.LoadLibrary("./libcudasim.so")
from ma... | 29.622896 | 88 | 0.630939 | """
Repeatedly run single integration steps for some initial conditions until some stopping
conditions.
"""
import logging
import time
from decimal import Decimal
import numpy as np
from orbsim.r4b_3d import UNIT_TIME
from new_ephemerides import (
get_coordinates_on_day_rad,
get_ephemerides,
get_ephemerid... | 0 | 0 | 0 | 0 | 0 | 3,484 | 0 | 72 | 67 |
3a4052903ae0ed6b3dfecbb28ea8d1c41cf14ea6 | 115 | py | Python | pulsemaker/__init__.py | anushkrishnav/pulsemaker | 598b0b35569a7b3adb4722d0ebd70dd495e12037 | [
"Apache-2.0"
] | 14 | 2021-02-13T03:02:45.000Z | 2021-12-13T06:03:53.000Z | pulsemaker/__init__.py | anushkrishnav/pulsemaker | 598b0b35569a7b3adb4722d0ebd70dd495e12037 | [
"Apache-2.0"
] | null | null | null | pulsemaker/__init__.py | anushkrishnav/pulsemaker | 598b0b35569a7b3adb4722d0ebd70dd495e12037 | [
"Apache-2.0"
] | 3 | 2021-02-08T08:07:21.000Z | 2021-12-17T14:16:32.000Z | # __all__ = ['ScheduleEditor', 'PulseDesigner', '...'] | 38.333333 | 54 | 0.721739 | # __all__ = ['ScheduleEditor', 'PulseDesigner', '...']
from .ScheduleDesigner import *
from .PulseDesigner import * | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 44 |
442b78fd956ddc29812fbf28744892c66a72ed24 | 8,412 | py | Python | applications/SpecialCalculator.py | Justobioma/master-to-pythonista | cce23d6ab0ff026347885a75f7f19f002da7a4aa | [
"MIT"
] | 12 | 2020-10-02T04:49:23.000Z | 2022-01-29T07:58:50.000Z | applications/SpecialCalculator.py | Justobioma/master-to-pythonista | cce23d6ab0ff026347885a75f7f19f002da7a4aa | [
"MIT"
] | 16 | 2020-10-02T04:30:23.000Z | 2020-10-09T11:11:10.000Z | applications/SpecialCalculator.py | Justobioma/master-to-pythonista | cce23d6ab0ff026347885a75f7f19f002da7a4aa | [
"MIT"
] | 23 | 2020-10-02T04:36:39.000Z | 2021-10-18T02:38:35.000Z | #Calculator Description This mini project Calculator is the implementation of Calculator which can perform different arithematic operations. Few of the most required arithematic operations that must be present in this mini-projects are
#Result after each operation should be stored for future operations Addition of 2 n... | 36.733624 | 267 | 0.414051 | #Calculator Description This mini project Calculator is the implementation of Calculator which can perform different arithematic operations. Few of the most required arithematic operations that must be present in this mini-projects are
#Result after each operation should be stored for future operations Addition of 2 n... | 0 | 0 | 0 | 0 | 0 | 657 | 0 | 0 | 66 |
bc61bc3deb32a94e12f374c23920a1ffcfc1c112 | 1,196 | py | Python | orangeshare/shortcuts/handlers/clipboard.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 18 | 2021-07-31T18:10:25.000Z | 2022-03-14T01:38:54.000Z | orangeshare/shortcuts/handlers/clipboard.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 14 | 2021-08-06T19:10:01.000Z | 2021-12-20T10:21:50.000Z | orangeshare/shortcuts/handlers/clipboard.py | krzemienski/Orange-Share | 26a1cb55c3d147bc16807bbf1faa73350f72be22 | [
"MIT"
] | 2 | 2021-11-13T15:53:20.000Z | 2022-01-23T12:25:32.000Z | import pyperclip
from orangeshare import Config
from orangeshare.notify import notify
def handle_file(file: str, file_name: str):
"""
Copies the file to clipboard by saving it to a temporary directory and then copying it
:param file: The file
:param file_name: The filename
:return: response for ... | 27.181818 | 90 | 0.667224 | import pyperclip
from orangeshare import Config
from orangeshare.notify import notify
def handle_file(file: str, file_name: str):
"""
Copies the file to clipboard by saving it to a temporary directory and then copying it
:param file: The file
:param file_name: The filename
:return: response for ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17e10d247802208013156637d552a79beca33cd7 | 437 | py | Python | app1/migrations/0010_auto_20200623_1709.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | 6 | 2021-09-16T16:46:56.000Z | 2022-02-06T13:00:08.000Z | app1/migrations/0010_auto_20200623_1709.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | null | null | null | app1/migrations/0010_auto_20200623_1709.py | vashuteotia123/zbcvit | da29b3281ccc87481a264b63c5b6c3a549945f33 | [
"MIT"
] | 1 | 2021-09-14T09:26:58.000Z | 2021-09-14T09:26:58.000Z | # Generated by Django 3.0.6 on 2020-06-23 17:09
| 23 | 93 | 0.624714 | # Generated by Django 3.0.6 on 2020-06-23 17:09
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app1', '0009_auto_20200622_0235'),
]
operations = [
migrations.AlterField(
model_name='event_photos',
name='event_ph... | 0 | 0 | 0 | 323 | 0 | 0 | 0 | 19 | 46 |
40bbca1d4fdf15efdfd8c6ec217ff96cdffa3070 | 13,836 | py | Python | src/iris/bin/retention.py | dwang159/iris-api | f607fe4c5595469766470b899950d97570e8aebe | [
"BSD-2-Clause"
] | null | null | null | src/iris/bin/retention.py | dwang159/iris-api | f607fe4c5595469766470b899950d97570e8aebe | [
"BSD-2-Clause"
] | null | null | null | src/iris/bin/retention.py | dwang159/iris-api | f607fe4c5595469766470b899950d97570e8aebe | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
from gevent import monkey
monkey.patch_all() # NOQA
import logging
import os
# metrics
stats_reset = {
'sql_errors': 0,
'deleted_messages': 0,
'de... | 34.939394 | 173 | 0.574371 | # Copyright (c) LinkedIn Corporation. All rights reserved. Licensed under the BSD-2 Clause license.
# See LICENSE in the project root for license information.
from gevent import monkey, sleep, spawn
monkey.patch_all() # NOQA
from sqlalchemy import create_engine
from collections import deque
import logging
import ujs... | 0 | 0 | 0 | 0 | 0 | 11,329 | 0 | 23 | 271 |
63cb711394d4abb3a585a93f62efc94b1b909989 | 1,824 | py | Python | generator_scripts/transfer_generator.py | antonkulikov401/crypto-exchange | 72dc06ef09129a3b50eb9c5dc43f9c909f93501d | [
"MIT"
] | null | null | null | generator_scripts/transfer_generator.py | antonkulikov401/crypto-exchange | 72dc06ef09129a3b50eb9c5dc43f9c909f93501d | [
"MIT"
] | null | null | null | generator_scripts/transfer_generator.py | antonkulikov401/crypto-exchange | 72dc06ef09129a3b50eb9c5dc43f9c909f93501d | [
"MIT"
] | null | null | null | import random
random.seed(a=5)
with open('transfer_operation.sql', 'w') as output:
output.write('SET SEARCH_PATH = crypto_exchange;\n\nINSERT INTO transfer_operation (account_id, operation_code, operation_amt, external_wallet_no, operation_dttm)\nVALUES\n')
for i in range(1, 201):
x = round(ran... | 55.272727 | 206 | 0.600877 | import random
import time
import string
def strTimeProp(start, end, format, prop):
stime = time.mktime(time.strptime(start, format))
etime = time.mktime(time.strptime(end, format))
ptime = stime + prop * (etime - stime)
return time.strftime(format, time.localtime(ptime))
def random_string(st... | 0 | 0 | 0 | 0 | 0 | 462 | 0 | -18 | 121 |
b3a8d54bc27d932ce3d20dc97934a6226c969178 | 9,515 | py | Python | GEOS_Util/coupled_diagnostics/analysis/clim/plot_hice_icesat.py | GEOS-ESM/GMAO_Shared | 022af23abbc7883891006b57379be96d9a50df23 | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-02-01T17:36:53.000Z | 2020-02-01T17:36:53.000Z | GEOS_Util/coupled_diagnostics/analysis/clim/plot_hice_icesat.py | GEOS-ESM/GMAO_Shared | 022af23abbc7883891006b57379be96d9a50df23 | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | 105 | 2019-07-08T19:27:23.000Z | 2022-03-22T02:12:16.000Z | GEOS_Util/coupled_diagnostics/analysis/clim/plot_hice_icesat.py | GEOS-ESM/GMAO_Shared | 022af23abbc7883891006b57379be96d9a50df23 | [
"NASA-1.3",
"ECL-2.0",
"Apache-2.0"
] | 10 | 2019-07-05T18:00:44.000Z | 2022-03-11T16:26:29.000Z | #! /usr/bin/env python
from netCDF4 import Dataset
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import numpy.ma as ma
import array
import matplotlib.cm as cm
from mpl_toolkits.basemap import Basemap
#import cmocean as cm
import glob
import struct
from importlib import import_module
import datet... | 30.79288 | 104 | 0.665055 | #! /usr/bin/env python
from netCDF4 import Dataset
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import numpy.ma as ma
import array
import matplotlib.cm as cm
from mpl_toolkits.basemap import Basemap
#import cmocean as cm
import glob
import struct
from importlib import import_module
import datet... | 0 | 0 | 0 | 0 | 0 | 1,822 | 0 | 0 | 46 |
9c652ab9678a33ee54a5984622469d951a7214bd | 3,602 | py | Python | lib/grizzled/grizzled/net/__init__.py | MiCHiLU/google_appengine_sdk | 3da9f20d7e65e26c4938d2c4054bc4f39cbc5522 | [
"Apache-2.0"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | AppServer/lib/grizzled/grizzled/net/__init__.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | AppServer/lib/grizzled/grizzled/net/__init__.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | # $Id: f8ce5bf718c826df5fb3cd06701dc2bf6e144acb $
"""
Network-related methods and classes.
"""
from __future__ import absolute_import
__docformat__ = 'restructuredtext en'
# ---------------------------------------------------------------------------
# Imports
# -------------------------------------------------------... | 34.634615 | 93 | 0.508884 | # $Id: f8ce5bf718c826df5fb3cd06701dc2bf6e144acb $
"""
Network-related methods and classes.
"""
from __future__ import absolute_import
__docformat__ = 'restructuredtext en'
# ---------------------------------------------------------------------------
# Imports
# -------------------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
04cfa552172955d2da9afeff7d0f8dbdbadd726f | 2,047 | py | Python | tests/test_iau2010.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | tests/test_iau2010.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | tests/test_iau2010.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
| 28.041096 | 108 | 0.617978 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from pytest import fixture, yield_fixture
from unittest.mock import patch
from beyond.dates.date import Date
from beyond.dates.eop import Eop
from beyond.frames.iau2010 import _earth_orientation, _sideral, _planets, _xys, _xysxy2
@fixture
def date(mod... | 0 | 328 | 0 | 0 | 0 | 1,279 | 0 | 117 | 272 |
64ca67fc71466a53e63e6d5cf36dd68e02152dac | 3,248 | py | Python | src/aptsources_cleanup/util/strings.py | Hunsu/aptsources-cleanup | e315b837ac55605f79869f383a6a22de0e2add0d | [
"MIT"
] | null | null | null | src/aptsources_cleanup/util/strings.py | Hunsu/aptsources-cleanup | e315b837ac55605f79869f383a6a22de0e2add0d | [
"MIT"
] | null | null | null | src/aptsources_cleanup/util/strings.py | Hunsu/aptsources-cleanup | e315b837ac55605f79869f383a6a22de0e2add0d | [
"MIT"
] | null | null | null | # -*- coding: utf-8
"""String utilities"""
__all__ = (
"startswith_token", "prefix", "strip", "lstrip", "rstrip",
"contains_ordered"
)
if __debug__:
def startswith_token(s, prefix, separators=None):
"""Tests if a string is either equal to a given prefix or prefixed by it
followed by a separator.
"""
if separ... | 21.228758 | 75 | 0.680727 | # -*- coding: utf-8
"""String utilities"""
__all__ = (
"startswith_token", "prefix", "strip", "lstrip", "rstrip",
"contains_ordered"
)
import operator
if __debug__:
import collections
from warnings import warn
from .itertools import map_pairs
def startswith_token(s, prefix, separators=None):
"""Tests if a st... | 0 | 0 | 0 | 0 | 0 | 2,249 | 0 | 6 | 345 |
d6e986b440e81e3140749f3ca33755a4502b017a | 690 | py | Python | src/shorten_.py | 23subbhashit/house_prediction | 6a71645cb86e39d60709adb9142ce14392711323 | [
"MIT"
] | null | null | null | src/shorten_.py | 23subbhashit/house_prediction | 6a71645cb86e39d60709adb9142ce14392711323 | [
"MIT"
] | null | null | null | src/shorten_.py | 23subbhashit/house_prediction | 6a71645cb86e39d60709adb9142ce14392711323 | [
"MIT"
] | 1 | 2021-06-16T13:54:29.000Z | 2021-06-16T13:54:29.000Z | import joblib
import pandas as pd
from lightgbm import LGBMRegressor as lgbr
train = pd.read_csv('../data/train_.csv')
X = train.drop('SalePrice', axis=1)
y = train.SalePrice
model = lgbr(bagging_fraction=0.8, bagging_freq=5, feature_fraction=0.5,
min_child_samples=91, min_split_gain=0.9, n_estimators=300... | 34.5 | 76 | 0.702899 | import joblib
import pandas as pd
from lightgbm import LGBMRegressor as lgbr
train = pd.read_csv('../data/train_.csv')
X = train.drop('SalePrice', axis=1)
y = train.SalePrice
model = lgbr(bagging_fraction=0.8, bagging_freq=5, feature_fraction=0.5,
min_child_samples=91, min_split_gain=0.9, n_estimators=300... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
06402e61138355e371fa03631e3636cd4fc77795 | 384 | py | Python | scgv/tests/conftest.py | lchorbadjiev/SCGV | 7b2fd1fbada7bea49166e37bcb82bd742617fe51 | [
"MIT"
] | 8 | 2017-03-31T19:55:36.000Z | 2021-01-22T09:11:40.000Z | scgv/tests/conftest.py | lchorbadjiev/SCGV | 7b2fd1fbada7bea49166e37bcb82bd742617fe51 | [
"MIT"
] | null | null | null | scgv/tests/conftest.py | lchorbadjiev/SCGV | 7b2fd1fbada7bea49166e37bcb82bd742617fe51 | [
"MIT"
] | 2 | 2019-06-11T09:07:01.000Z | 2020-09-25T02:30:22.000Z | '''
Created on Dec 2, 2016
@author: lubo
'''
| 15.36 | 44 | 0.734375 | '''
Created on Dec 2, 2016
@author: lubo
'''
import pytest
from scgv.models.model import DataModel
@pytest.fixture
def example_data():
return 'exampledata/example.archive.zip'
@pytest.fixture
def example_dir():
return 'exampledata/example.directory'
@pytest.fixture
def model_fixture(example_data):
mo... | 0 | 212 | 0 | 0 | 0 | 0 | 0 | 10 | 113 |
b49d8203a438874b2c7d7f936929aa10a9a79d2b | 792 | py | Python | project euler solutions/Problem_059.py | helq/old_code | a432faf1b340cb379190a2f2b11b997b02d1cd8d | [
"CC0-1.0"
] | null | null | null | project euler solutions/Problem_059.py | helq/old_code | a432faf1b340cb379190a2f2b11b997b02d1cd8d | [
"CC0-1.0"
] | 4 | 2020-03-10T19:20:21.000Z | 2021-06-07T15:39:48.000Z | project euler solutions/Problem_059.py | helq/old_code | a432faf1b340cb379190a2f2b11b997b02d1cd8d | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
text_encrypt = "".join(map(lambda x: chr(x), eval( "[" + open("059-cipher1.txt", "Ur").readline()[:-1] + "]" )))
posible_pass = [chr(i) + chr(j) + chr(k) for i in range(97,123) for j in range(97,123) for k in range(97,123)]
max_num_space = 0
for i in range(len(posible_p... | 36 | 112 | 0.645202 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
def decrypt(text,passw):
l = min(len(text), len(passw))
if l == 0: return ""
return "".join(chr(ord(text[n])^ord(passw[n])) for n in xrange(l) ) + decrypt(text[l:], passw)
text_encrypt = "".join(map(lambda x: chr(x), eval( "[" + open("059-cipher1.txt", "Ur").... | 0 | 0 | 0 | 0 | 0 | 162 | 0 | 0 | 23 |
2398c32ad9341e731e460520a5c6098d1c343559 | 4,794 | py | Python | votesim/models/spatialerror.py | johnh865/election_sim | b73b7e65f1bb22abb82cbe8442fcf02b0c20894e | [
"MIT"
] | 8 | 2019-10-21T23:24:51.000Z | 2021-09-14T03:04:59.000Z | votesim/models/spatialerror.py | johnh865/election_sim | b73b7e65f1bb22abb82cbe8442fcf02b0c20894e | [
"MIT"
] | 2 | 2021-02-09T23:52:47.000Z | 2021-02-10T04:08:35.000Z | votesim/models/spatialerror.py | johnh865/election_sim | b73b7e65f1bb22abb82cbe8442fcf02b0c20894e | [
"MIT"
] | 1 | 2019-10-21T23:32:18.000Z | 2019-10-21T23:32:18.000Z | # -*- coding: utf-8 -*-
"""
Voter spatials models with variations of voter behavior of
1. Voter Error -- Voters with error in regret/distance calculation
2. Voter Ignorance -- Voters with limited memory and will only evaluate a
finite number of candidates.
3. Min/Max voters -- Voters who min/max their scored bal... | 29.411043 | 79 | 0.531915 | # -*- coding: utf-8 -*-
"""
Voter spatials models with variations of voter behavior of
1. Voter Error -- Voters with error in regret/distance calculation
2. Voter Ignorance -- Voters with limited memory and will only evaluate a
finite number of candidates.
3. Min/Max voters -- Voters who min/max their scored bal... | 0 | 2,077 | 0 | 2,070 | 0 | 0 | 0 | 37 | 116 |
ab68289e321515913d739b86fff7164b757e7f0e | 2,552 | py | Python | tests/test_build_gettext.py | methane/python-doc-ja.sphinx-ja | b911f63318ac715733b5c10dfbc197549c85044f | [
"BSD-2-Clause"
] | 1 | 2015-03-22T16:49:07.000Z | 2015-03-22T16:49:07.000Z | tests/test_build_gettext.py | methane/python-doc-ja.sphinx-ja | b911f63318ac715733b5c10dfbc197549c85044f | [
"BSD-2-Clause"
] | null | null | null | tests/test_build_gettext.py | methane/python-doc-ja.sphinx-ja | b911f63318ac715733b5c10dfbc197549c85044f | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
test_build_gettext
~~~~~~~~~~~~~~~~~~
Test the build process with gettext builder with the test root.
:copyright: Copyright 2010 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
| 31.121951 | 79 | 0.576411 | # -*- coding: utf-8 -*-
"""
test_build_gettext
~~~~~~~~~~~~~~~~~~
Test the build process with gettext builder with the test root.
:copyright: Copyright 2010 by the Sphinx team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import gettext
import os
from subprocess import Popen, PIPE
fr... | 0 | 2,052 | 0 | 0 | 0 | 41 | 0 | -5 | 204 |
86c4fa41463e8d16a655ab7d9082bccd043f0005 | 1,413 | py | Python | step/make_aug_fg.py | suyukun666/CDA | c254b10deff624ee06d62cfd84f2b602a4a046d5 | [
"MIT"
] | 68 | 2021-03-03T02:17:22.000Z | 2022-03-14T03:39:05.000Z | step/make_aug_fg.py | junzai0215/CDA | 7d0502c58e72c95e4381828c3728d9ad6e181ba6 | [
"MIT"
] | 2 | 2021-11-21T12:01:00.000Z | 2022-01-18T04:16:13.000Z | step/make_aug_fg.py | junzai0215/CDA | 7d0502c58e72c95e4381828c3728d9ad6e181ba6 | [
"MIT"
] | 25 | 2021-03-18T16:58:29.000Z | 2022-03-08T02:41:03.000Z | import scipy.misc as misc | 32.860465 | 88 | 0.61005 | import numpy as np
import os
import scipy.misc as misc
def run(args):
for i in range(20):
os.makedirs(os.path.join(args.sem_seg_out_fg_dir,str(i)), exist_ok=True)
for seg_img in os.listdir(args.sem_seg_out_dir):
id=seg_img.split('.')[0]
img=misc.imread(os.path.join(args.voc12_root,'JP... | 6 | 0 | 0 | 0 | 0 | 1,334 | 0 | -15 | 67 |
2d5d1a49c3ef8b888c9d98df43d5e8a96c869229 | 3,325 | py | Python | backend/authentication/views.py | vindem22/work-hour-registration | 05daac6bc1504658909dc396e48cc8100ec1747c | [
"Apache-2.0"
] | null | null | null | backend/authentication/views.py | vindem22/work-hour-registration | 05daac6bc1504658909dc396e48cc8100ec1747c | [
"Apache-2.0"
] | null | null | null | backend/authentication/views.py | vindem22/work-hour-registration | 05daac6bc1504658909dc396e48cc8100ec1747c | [
"Apache-2.0"
] | null | null | null | from api.models import Employee
# Create your views here.
| 28.177966 | 74 | 0.610226 | from api.models import Employee
import json
import requests
from django.conf import settings
from rest_framework import viewsets, status
from rest_framework.decorators import action
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from rest_framework.views ... | 0 | 1,013 | 0 | 1,621 | 0 | 0 | 0 | 312 | 317 |
62b1ab2a38ad816fabf72bcd78abf18896cf136c | 1,904 | py | Python | test/azure/Expected/AcceptanceTests/CustomBaseUri/custombaseurl/aio/_auto_rest_parameterized_host_test_client_async.py | fearthecowboy/autorest.python | a251e361218598b55b0621db2275aafcb7158a5c | [
"MIT"
] | null | null | null | test/azure/Expected/AcceptanceTests/CustomBaseUri/custombaseurl/aio/_auto_rest_parameterized_host_test_client_async.py | fearthecowboy/autorest.python | a251e361218598b55b0621db2275aafcb7158a5c | [
"MIT"
] | null | null | null | test/azure/Expected/AcceptanceTests/CustomBaseUri/custombaseurl/aio/_auto_rest_parameterized_host_test_client_async.py | fearthecowboy/autorest.python | a251e361218598b55b0621db2275aafcb7158a5c | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 38.08 | 89 | 0.691702 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 1,168 | 0 | 0 | 0 | 127 | 113 |
b23de71ee927cb4e73bad9f1544521a78c740a57 | 3,161 | py | Python | tests/test_transformers.py | nth-attempt/whatlies | 3347fa57cf7eaa40a79723a4a4623c844874333d | [
"Apache-2.0"
] | null | null | null | tests/test_transformers.py | nth-attempt/whatlies | 3347fa57cf7eaa40a79723a4a4623c844874333d | [
"Apache-2.0"
] | null | null | null | tests/test_transformers.py | nth-attempt/whatlies | 3347fa57cf7eaa40a79723a4a4623c844874333d | [
"Apache-2.0"
] | null | null | null |
from whatlies.language import SpacyLanguage
from whatlies.transformers import Noise, AddRandom, Normalizer, Umap, Tsne, Pca
words = [
"prince",
"princess",
"nurse",
"doctor",
"banker",
"man",
"woman",
"cousin",
"neice",
"king",
"queen",
"dude",
"guy",
"gal",
... | 23.766917 | 88 | 0.635558 | import pytest
import numpy as np
from sklearn.preprocessing import normalize
from whatlies.language import SpacyLanguage
from whatlies.transformers import Noise, AddRandom, Normalizer, Umap, Tsne, Pca
from whatlies.transformers._transformer import Transformer, SklearnTransformer
words = [
"prince",
"princess... | 0 | 1,134 | 0 | 0 | 0 | 782 | 0 | 68 | 227 |
2ccab1647909393692687dbe282aba4839530e4c | 1,994 | py | Python | tests/transformations_test/UselessSymbolsRemove/SimpleTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 1 | 2021-02-04T12:41:08.000Z | 2021-02-04T12:41:08.000Z | tests/transformations_test/UselessSymbolsRemove/SimpleTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 3 | 2017-07-08T16:28:52.000Z | 2020-04-23T18:06:24.000Z | tests/transformations_test/UselessSymbolsRemove/SimpleTest.py | PatrikValkovic/grammpy | 8308a1fd349bf9ea0d267360cc9a4ab20d1629e8 | [
"MIT"
] | 1 | 2021-02-04T12:41:10.000Z | 2021-02-04T12:41:10.000Z | #!/usr/bin/env python
"""
:Author Patrik Valkovic
:Created 17.08.2017 14:39
:Licence MIT
Part of grammpy
"""
from unittest import main
if __name__ == '__main__':
main() | 31.650794 | 68 | 0.615848 | #!/usr/bin/env python
"""
:Author Patrik Valkovic
:Created 17.08.2017 14:39
:Licence MIT
Part of grammpy
"""
from unittest import TestCase, main
from grammpy import *
from grammpy.transforms import ContextFree
class S(Nonterminal): pass
class A(Nonterminal): pass
class B(Nonterminal): pass
class RuleSto0(Rule): rule... | 0 | 0 | 0 | 1,563 | 0 | 0 | 0 | 31 | 222 |
65f42b99aad9a3fb329a8fc54bd3f2db23081be0 | 28,001 | py | Python | tests/test_distribution.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 22 | 2021-10-17T23:19:38.000Z | 2022-03-24T05:13:56.000Z | tests/test_distribution.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 12 | 2021-09-29T16:27:03.000Z | 2022-03-30T17:54:08.000Z | tests/test_distribution.py | coordinape/coordinape-protocol | 8c90de1b1fbc19bab05e1c5848813d022492753a | [
"MIT"
] | 4 | 2021-10-14T19:08:36.000Z | 2022-03-29T16:42:21.000Z |
TAP_BASE = 1
TAP_PROFIT = 0
| 60.871739 | 197 | 0.732581 | from brownie import accounts, chain, reverts, Wei
import json
import time
TAP_BASE = 1
TAP_PROFIT = 0
def setup_protocol(ape_reg, ape_fee, ape_distro, ape_router_registry_beacon, ape_factory_registry_beacon, minter):
set_fee_call = ape_reg.setFeeRegistry.encode_input(ape_fee)
set_router_call = ape_reg.setRout... | 0 | 0 | 0 | 0 | 0 | 27,622 | 0 | 8 | 342 |
f0c490fd8322d2f4e878b3d7953356a0c3141974 | 6,433 | py | Python | serverpkg/asyncChecker.py | noam1023/technion-iem-ds_lab | 22493a981ce90ce8a4f342adfaa5ebf7486bcd03 | [
"MIT"
] | null | null | null | serverpkg/asyncChecker.py | noam1023/technion-iem-ds_lab | 22493a981ce90ce8a4f342adfaa5ebf7486bcd03 | [
"MIT"
] | 11 | 2019-06-30T12:20:13.000Z | 2021-05-30T11:04:23.000Z | serverpkg/asyncChecker.py | noam1023/technion-iem-ds_lab | 22493a981ce90ce8a4f342adfaa5ebf7486bcd03 | [
"MIT"
] | 4 | 2019-04-04T12:39:38.000Z | 2021-11-10T18:13:44.000Z | import re
from .logger import Logger
logger = Logger(__name__).logger
def _extract_run_time(string):
"""
extract the runtime that we wrote as the last line in the stderr stream supplied in string
:param string: the stderr stream. last line looks like: 0.5 user 1.6 system
:return: run time in seconds... | 46.615942 | 135 | 0.610602 | import re
import subprocess
import threading
from .logger import Logger
from .server_codes import ExitCode
logger = Logger(__name__).logger
def _extract_run_time(string):
"""
extract the runtime that we wrote as the last line in the stderr stream supplied in string
:param string: the stderr stream. last... | 0 | 0 | 0 | 5,141 | 0 | 0 | 0 | 4 | 89 |
84802f69e3e86455949e9e1fe78deca3b7c8b671 | 24,175 | py | Python | cemu/ui/main.py | clayne/cemu | ec661f5cb79e15d908bdef6db20e42d3c84b8dc9 | [
"MIT"
] | null | null | null | cemu/ui/main.py | clayne/cemu | ec661f5cb79e15d908bdef6db20e42d3c84b8dc9 | [
"MIT"
] | null | null | null | cemu/ui/main.py | clayne/cemu | ec661f5cb79e15d908bdef6db20e42d3c84b8dc9 | [
"MIT"
] | null | null | null |
import cemu.core
import cemu.plugins
| 37.078221 | 122 | 0.579111 | import functools
import pathlib
import tempfile
from typing import Callable, Optional
from PyQt6.QtCore import QFileInfo, QSettings, Qt
from PyQt6.QtGui import QAction, QIcon
from PyQt6.QtWidgets import (QApplication, QDockWidget, QFileDialog,
QGridLayout, QLabel, QMainWindow, QMenu,
... | 0 | 0 | 0 | 23,108 | 0 | 0 | 0 | 541 | 487 |
0194f09c7c259d70cdb8c1bf8b95cf286b728dbd | 273 | py | Python | examples/transformer/config_reddit.py | qkaren/texar | 38bbb70ea9d389e3e2c092d213389e9c6b99b824 | [
"Apache-2.0"
] | null | null | null | examples/transformer/config_reddit.py | qkaren/texar | 38bbb70ea9d389e3e2c092d213389e9c6b99b824 | [
"Apache-2.0"
] | null | null | null | examples/transformer/config_reddit.py | qkaren/texar | 38bbb70ea9d389e3e2c092d213389e9c6b99b824 | [
"Apache-2.0"
] | null | null | null | batch_size = 4000 #256
test_batch_size = 8
max_train_epoch = 100
display_steps = 200
eval_steps = 10000 #4000 #2000
max_decoding_length= 30
filename_prefix = "processed."
input_dir = 'temp/run_query_response_bpe/data'
vocab_file = input_dir + '/processed.vocab.pickle'
| 19.5 | 50 | 0.78022 | batch_size = 4000 #256
test_batch_size = 8
max_train_epoch = 100
display_steps = 200
eval_steps = 10000 #4000 #2000
max_decoding_length= 30
filename_prefix = "processed."
input_dir = 'temp/run_query_response_bpe/data'
vocab_file = input_dir + '/processed.vocab.pickle'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
590e0d54b5bbca362551bb78aabce6b08696cf66 | 11,644 | py | Python | cube2x2.py | MatheusMAssis/Magic_Cube-Project | 40e0bbe7362cd8a6b80fb08883eec0d725625812 | [
"MIT"
] | null | null | null | cube2x2.py | MatheusMAssis/Magic_Cube-Project | 40e0bbe7362cd8a6b80fb08883eec0d725625812 | [
"MIT"
] | null | null | null | cube2x2.py | MatheusMAssis/Magic_Cube-Project | 40e0bbe7362cd8a6b80fb08883eec0d725625812 | [
"MIT"
] | null | null | null |
#--- auxiliar function ---#
#--- cube class (in this case, a 2x2x2) ---#
| 36.3875 | 81 | 0.428203 | import numpy as np
import random as rd
#--- auxiliar function ---#
def change(n):
color_dict = {0: 'W',
1: 'O',
2: 'G',
3: 'R',
4: 'B',
5: 'Y'}
return color_dict[n]
#--- cube class (in this case, a 2x2x2) ---#
class cu... | 0 | 0 | 0 | 11,310 | 0 | 174 | 0 | -5 | 90 |
f90e18aefe02d14e1d2609dc35cfa3d5f9db403f | 4,575 | py | Python | test/test_basic_sim.py | top-sim/topsim | 90cb3cff2612ced3d51f94fe852dc814dcca7730 | [
"MIT"
] | 2 | 2022-03-30T01:19:20.000Z | 2022-03-30T02:53:51.000Z | test/test_basic_sim.py | firewood1996/topsim | 90cb3cff2612ced3d51f94fe852dc814dcca7730 | [
"MIT"
] | 15 | 2020-10-21T08:35:12.000Z | 2022-01-20T07:55:24.000Z | test/test_basic_sim.py | firewood1996/topsim | 90cb3cff2612ced3d51f94fe852dc814dcca7730 | [
"MIT"
] | 1 | 2021-11-02T14:21:05.000Z | 2021-11-02T14:21:05.000Z | # Copyright (C) 6/11/20 RW Bunney
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the... | 34.923664 | 78 | 0.668197 | # Copyright (C) 6/11/20 RW Bunney
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the... | 0 | 0 | 0 | 3,235 | 0 | 0 | 0 | 103 | 156 |
125498bccd0b3e247bdd9210f18f55f1879db290 | 3,479 | py | Python | src/performance/evaluate_VAN.py | echoyi/MAPSED | 98452e0101bc907c63bcf03666a3de955ebfb2ce | [
"MIT"
] | 3 | 2021-11-23T04:34:05.000Z | 2021-12-07T05:55:26.000Z | src/performance/evaluate_VAN.py | echoyi/MAPSED | 98452e0101bc907c63bcf03666a3de955ebfb2ce | [
"MIT"
] | null | null | null | src/performance/evaluate_VAN.py | echoyi/MAPSED | 98452e0101bc907c63bcf03666a3de955ebfb2ce | [
"MIT"
] | null | null | null | import torch
from torch.utils.data import DataLoader
from src.model.mapsed import MAPSED
from src.model.vae.conv_vae import ConvVAE
from src.utils.load_data import load_seq_data
import numpy as np
import pandas as pd
if __name__ == '__main__':
device = torch.device('cuda')
vae = ConvVAE(input_channels=4).to(... | 42.950617 | 102 | 0.647887 | import torch
from torch.utils.data import DataLoader
from src.model.mapsed import MAPSED
from src.model.vae.conv_vae import ConvVAE
from src.utils.calculate_seq_loss import calculate_seq_loss
from src.utils.load_data import load_seq_data, normalize_data_tensor, recover_data_tensor
import numpy as np
import pandas as pd... | 0 | 0 | 0 | 0 | 0 | 858 | 0 | 82 | 45 |
c32e8925ddf3fef99c15df0a6c1b5094c7f63de8 | 2,566 | py | Python | company/views.py | hamblin/django-denmark.org | 8b23a44b9d4307a883b601d9a4683ceb1aa33965 | [
"MIT"
] | null | null | null | company/views.py | hamblin/django-denmark.org | 8b23a44b9d4307a883b601d9a4683ceb1aa33965 | [
"MIT"
] | null | null | null | company/views.py | hamblin/django-denmark.org | 8b23a44b9d4307a883b601d9a4683ceb1aa33965 | [
"MIT"
] | null | null | null |
# Create your views here.
# CreateView
# DetailView
# CompanyDetailViewEditUpdate takes 2 parameters LoginRequiredMixin to secure different
# functionalities for users when signed in or not and ListView.
# UpdateView
# DeleteView
| 32.481013 | 95 | 0.746687 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import CreateView
from django.views.generic import DeleteView
from django.views.generic import DetailView
from django.views.generic import ListView
from django.views.generic import UpdateView
from .forms import CompanyForm
from .models... | 0 | 0 | 0 | 1,820 | 0 | 0 | 0 | 172 | 333 |
958156ab77941ea7d857413d35cce677c60c2d6c | 3,138 | py | Python | appengine/predator/analysis/linear/changelist_features/test/touch_crashed_file_meta_test.py | mcgreevy/chromium-infra | 09064105713603f7bf75c772e8354800a1bfa256 | [
"BSD-3-Clause"
] | 1 | 2018-01-02T05:47:07.000Z | 2018-01-02T05:47:07.000Z | appengine/predator/analysis/linear/changelist_features/test/touch_crashed_file_meta_test.py | mcgreevy/chromium-infra | 09064105713603f7bf75c772e8354800a1bfa256 | [
"BSD-3-Clause"
] | null | null | null | appengine/predator/analysis/linear/changelist_features/test/touch_crashed_file_meta_test.py | mcgreevy/chromium-infra | 09064105713603f7bf75c772e8354800a1bfa256 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
| 44.197183 | 80 | 0.728171 | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import mock
import unittest
from analysis.analysis_testcase import AnalysisTestCase
from analysis.crash_report import CrashReport
from analysis.linear.chang... | 0 | 0 | 0 | 1,983 | 0 | 0 | 0 | 527 | 465 |
dcf7a0fecda5cddb81b53094ea2739c4ded5a2b5 | 192 | py | Python | zazi/apps/identity/urls.py | felixcheruiyot/zazi-core-banking | 0a2dac42235adcac3cf8c114961e407f54844223 | [
"Apache-2.0"
] | null | null | null | zazi/apps/identity/urls.py | felixcheruiyot/zazi-core-banking | 0a2dac42235adcac3cf8c114961e407f54844223 | [
"Apache-2.0"
] | 1 | 2021-08-20T06:41:57.000Z | 2021-08-20T06:41:57.000Z | zazi/apps/identity/urls.py | felixcheruiyot/zazi-core-banking | 0a2dac42235adcac3cf8c114961e407f54844223 | [
"Apache-2.0"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^identity/verify/$', views.verify_identity, name='verify_identity'),
] | 24 | 78 | 0.75 | from django.conf.urls import url, include
from django.urls import reverse
from . import views
urlpatterns = [
url(r'^identity/verify/$', views.verify_identity, name='verify_identity'),
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 22 |
348ceb2ebfe6d8aa174a88dac18c9edb9af86e29 | 1,360 | py | Python | update_resources.py | steppi/famplex | ed09bf583b38a46b951cf8635871272c95df7fb8 | [
"CC0-1.0"
] | 11 | 2018-06-14T18:23:52.000Z | 2021-12-16T14:06:59.000Z | update_resources.py | steppi/famplex | ed09bf583b38a46b951cf8635871272c95df7fb8 | [
"CC0-1.0"
] | 97 | 2018-03-29T15:15:58.000Z | 2021-11-10T12:49:51.000Z | update_resources.py | steppi/famplex | ed09bf583b38a46b951cf8635871272c95df7fb8 | [
"CC0-1.0"
] | 12 | 2018-03-28T17:52:02.000Z | 2022-03-29T23:16:54.000Z | """This script moves resources and exports from the top level of the repo into
the corresponding folders within the Python package.
Resource files and exports are only checked into version control at the top
level and are copied into the package by setup.py upon installation. If a user
clones this repo with the intent... | 48.571429 | 78 | 0.719118 | """This script moves resources and exports from the top level of the repo into
the corresponding folders within the Python package.
Resource files and exports are only checked into version control at the top
level and are copied into the package by setup.py upon installation. If a user
clones this repo with the intent... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a455345587c4acf914cf5aa80e95e1080c55f4f3 | 511 | py | Python | 06-Microservices/RESTful/fig/source/JSON-vs-XML.py | zgsolucoes/Treinamento | 22a223fd0853785191bf54eb3c94ba5ac4f87c2d | [
"Apache-2.0"
] | 4 | 2017-04-24T19:57:00.000Z | 2018-08-22T23:46:17.000Z | 06-Microservices/RESTful/fig/source/JSON-vs-XML.py | zgsolucoes/Treinamento | 22a223fd0853785191bf54eb3c94ba5ac4f87c2d | [
"Apache-2.0"
] | null | null | null | 06-Microservices/RESTful/fig/source/JSON-vs-XML.py | zgsolucoes/Treinamento | 22a223fd0853785191bf54eb3c94ba5ac4f87c2d | [
"Apache-2.0"
] | 3 | 2017-06-24T03:39:10.000Z | 2019-10-24T18:22:37.000Z | import plotly.offline as py
import plotly.graph_objs as go
data = [go.Bar(x=['JSON', 'XML'], y=[26.2, 77.3])]
layout = go.Layout(
title='JSON vs XML',
yaxis=dict(
title='KB',
titlefont=dict(
family='Courier New, monospace',
size=18,
color='#7f7f7f'
)... | 20.44 | 50 | 0.563601 | import plotly.offline as py
import plotly.graph_objs as go
data = [go.Bar(x=['JSON', 'XML'], y=[26.2, 77.3])]
layout = go.Layout(
title='JSON vs XML',
yaxis=dict(
title='KB',
titlefont=dict(
family='Courier New, monospace',
size=18,
color='#7f7f7f'
)... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
978288aa0328cef821303dd2c4d886c6b544f17f | 1,844 | py | Python | fusion_tests/fsnGenNotation.py | ReDeFinance/web3fsnpy | a825c607f2320e0352b77242e985f423e94f00bf | [
"MIT"
] | 4 | 2019-11-01T23:20:25.000Z | 2022-01-16T06:07:25.000Z | fusion_tests/fsnGenNotation.py | ReDeFinance/web3fsnpy | a825c607f2320e0352b77242e985f423e94f00bf | [
"MIT"
] | 2 | 2021-06-02T00:27:51.000Z | 2021-11-05T16:58:15.000Z | fusion_tests/fsnGenNotation.py | ReDeFinance/web3fsnpy | a825c607f2320e0352b77242e985f423e94f00bf | [
"MIT"
] | 5 | 2019-09-03T10:00:48.000Z | 2021-12-21T04:42:15.000Z | #!/usr/bin/env python3
#
"""
Demonstrate generating a USAN notation on Fusion.
"""
#
#
import os
#import pdb ; pdb.set_trace()
#web3fusion
from web3fsnpy import Fsn
# Remember to set your environment variables to run this test
# e.g. export FSN_PRIVATE_KEY=123456789123456789ABCDEF
linkToChain = {
'ne... | 21.694118 | 130 | 0.693059 | #!/usr/bin/env python3
#
"""
Demonstrate generating a USAN notation on Fusion.
"""
#
#
import os
import sys
#import pdb ; pdb.set_trace()
#web3fusion
from web3fsnpy import Fsn
# Remember to set your environment variables to run this test
# e.g. export FSN_PRIVATE_KEY=123456789123456789ABCDEF
linkToChain... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
8683e761562f97cad618979ac2a7f309156daf4a | 1,402 | py | Python | bigquery/samples/update_routine.py | DaveCheez/google-cloud-python | fc03d4d41f13e9d13db7206438163b3a471fdabd | [
"Apache-2.0"
] | null | null | null | bigquery/samples/update_routine.py | DaveCheez/google-cloud-python | fc03d4d41f13e9d13db7206438163b3a471fdabd | [
"Apache-2.0"
] | null | null | null | bigquery/samples/update_routine.py | DaveCheez/google-cloud-python | fc03d4d41f13e9d13db7206438163b3a471fdabd | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.155556 | 79 | 0.667618 | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 0 | 0 | 0 | 0 | 803 | 0 | 0 | 23 |
004a94a9286cda6fb4e91373cd1677ad467b21f5 | 10,299 | py | Python | cogs/permissions.py | laminarity/the-bot | 74c1472c882b7337a275801b3fd127af73282949 | [
"MIT"
] | 2 | 2021-06-22T16:57:39.000Z | 2021-06-22T16:58:09.000Z | cogs/permissions.py | laminarity/the-bot | 74c1472c882b7337a275801b3fd127af73282949 | [
"MIT"
] | null | null | null | cogs/permissions.py | laminarity/the-bot | 74c1472c882b7337a275801b3fd127af73282949 | [
"MIT"
] | 1 | 2021-06-23T15:41:43.000Z | 2021-06-23T15:41:43.000Z |
import sys
import mysql.connector
sys.path.insert(1, '../')
sys.path.insert(1, '../constants')
#MySQL stuff
mydb = mysql.connector.connect(
host= sql.host,
user= sql.user,
password= sql.password,
database= sql.database,
port= sql.port
)
c = mydb.cursor()
#Loading Cog | 36.136842 | 235 | 0.623653 | import discord
from discord.ext import commands
import sys
import mysql.connector
sys.path.insert(1, '../')
from config import *
sys.path.insert(1, '../constants')
from colors import *
from constants import *
#MySQL stuff
mydb = mysql.connector.connect(
host= sql.host,
user= sql.user,
passwo... | 0 | 9,544 | 0 | 63 | 0 | 123 | 0 | 4 | 247 |
46edd31d33c743a5caa871a15ab0e8201c587d15 | 542 | py | Python | 1/longest_consecutive_sequence.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | 4 | 2018-03-07T02:56:03.000Z | 2021-06-15T05:43:31.000Z | 1/longest_consecutive_sequence.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | null | null | null | 1/longest_consecutive_sequence.py | IronCore864/leetcode | a62a4cdde9814ae48997176debcaad537f7ad01f | [
"Apache-2.0"
] | 1 | 2021-09-02T12:05:15.000Z | 2021-09-02T12:05:15.000Z |
s = Solution()
print s.longestConsecutive([100, 4, 200, 1, 3, 2])
print s.longestConsecutive([1, 2, 3])
| 23.565217 | 50 | 0.426199 | class Solution(object):
def longestConsecutive(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums = set(nums)
result = 0
for x in nums:
if x - 1 not in nums:
l = 1
y = x + 1
while y in nums:
... | 0 | 0 | 0 | 414 | 0 | 0 | 0 | 0 | 22 |
db2494a2a726da9527bae572a902a882cb5ec050 | 21,838 | py | Python | orghtml.py | Anti-Distinctlyminty/orgextended | 621fbbcd32b0558964bf5d05a4024a7a00c9a766 | [
"MIT"
] | null | null | null | orghtml.py | Anti-Distinctlyminty/orgextended | 621fbbcd32b0558964bf5d05a4024a7a00c9a766 | [
"MIT"
] | null | null | null | orghtml.py | Anti-Distinctlyminty/orgextended | 621fbbcd32b0558964bf5d05a4024a7a00c9a766 | [
"MIT"
] | null | null | null | import re
import regex
import OrgExtended.orgparse.node as node
import OrgExtended.orgutil.util as util
import logging
import sys
log = logging.getLogger(__name__)
# Global properties I AT LEAST want to support.
# Both as a property on the document and in our settings.
#+OPTIONS: num:nil toc:nil
#+REVEAL_TRANS: Non... | 30.542657 | 184 | 0.649831 | import sublime
import sublime_plugin
import datetime
import re
import regex
from pathlib import Path
import os
import fnmatch
import OrgExtended.orgparse.node as node
from OrgExtended.orgparse.sublimenode import *
import OrgExtended.orgutil.util as util
import OrgExtended.orgutil.navigation as nav
import OrgExtended... | 0 | 0 | 0 | 13,751 | 0 | 3,968 | 0 | 165 | 944 |
6615c512889a5b55c9d0831a40848d81567a3b8e | 214 | py | Python | Python/110-1/Midterm Exam/001.py | JenFuChen/NKUST | bd80a449eddfdaf75709379d2e904ff70d409666 | [
"MIT"
] | 3 | 2021-11-07T17:33:54.000Z | 2021-12-28T08:31:20.000Z | Python/110-1/Midterm Exam/001.py | JenFuChen/NKUST | bd80a449eddfdaf75709379d2e904ff70d409666 | [
"MIT"
] | null | null | null | Python/110-1/Midterm Exam/001.py | JenFuChen/NKUST | bd80a449eddfdaf75709379d2e904ff70d409666 | [
"MIT"
] | null | null | null | # 01
f = open("input.txt", mode='r')
min = 0
for line in f.readlines():
num = int(line)
if min < num:
min = num
f2 = open("output.txt", mode='w')
print(min, file=f2)
f.close()
f2.close()
| 17.833333 | 34 | 0.53271 | # 01
f = open("input.txt", mode='r')
min = 0
for line in f.readlines():
num = int(line)
if min < num:
min = num
f2 = open("output.txt", mode='w')
print(min, file=f2)
f.close()
f2.close()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b358888d55cd09df77f9f662466353b85f1a2241 | 710 | py | Python | sctokenizer/assets/java_keywords.py | ngocjr7/sctokenizer | 05564a6b58e21ae0469aa2ab19919c4c7937a37f | [
"MIT"
] | 5 | 2020-09-07T16:21:26.000Z | 2020-10-07T13:18:12.000Z | sctokenizer/assets/java_keywords.py | ngocjr7/sctokenizer | 05564a6b58e21ae0469aa2ab19919c4c7937a37f | [
"MIT"
] | 2 | 2021-07-21T05:11:05.000Z | 2021-07-23T06:29:40.000Z | sctokenizer/assets/java_keywords.py | ngocjr7/sctokenizer | 05564a6b58e21ae0469aa2ab19919c4c7937a37f | [
"MIT"
] | null | null | null | java_keyword_set = {
'abstract',
'assert',
'boolean',
'break',
'byte',
'case',
'catch',
'char',
'class',
'const',
'continue',
'default',
'do',
'double',
'else',
'enum',
'extends',
'final',
'finally',
'float',
'for',
'goto',
'if'... | 13.653846 | 20 | 0.429577 | java_keyword_set = {
'abstract',
'assert',
'boolean',
'break',
'byte',
'case',
'catch',
'char',
'class',
'const',
'continue',
'default',
'do',
'double',
'else',
'enum',
'extends',
'final',
'finally',
'float',
'for',
'goto',
'if'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f476d1a3025c0f67c99b1df46161691d776fe317 | 2,354 | py | Python | mars/services/cluster/tests/backend.py | wjsi/mars | a69fb19edfe748d4393b90ff2c4941a76c084596 | [
"Apache-2.0"
] | 1 | 2022-02-02T03:03:48.000Z | 2022-02-02T03:03:48.000Z | mars/services/cluster/tests/backend.py | wjsi/mars | a69fb19edfe748d4393b90ff2c4941a76c084596 | [
"Apache-2.0"
] | null | null | null | mars/services/cluster/tests/backend.py | wjsi/mars | a69fb19edfe748d4393b90ff2c4941a76c084596 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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 a... | 35.134328 | 82 | 0.684367 | # Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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 a... | 0 | 1,498 | 0 | 0 | 0 | 0 | 0 | 68 | 112 |
f032f538000b57b7c47e090a702b409344f3d9c3 | 962 | py | Python | tests/test_progarchives.py | 9seconds/rymtracks | a9233ad24c8eff5190cf1a2870ea6eca5619f44b | [
"MIT"
] | 1 | 2022-01-19T11:46:02.000Z | 2022-01-19T11:46:02.000Z | tests/test_progarchives.py | 9seconds/rymtracks | a9233ad24c8eff5190cf1a2870ea6eca5619f44b | [
"MIT"
] | null | null | null | tests/test_progarchives.py | 9seconds/rymtracks | a9233ad24c8eff5190cf1a2870ea6eca5619f44b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests for ProgArchives service.
"""
if __name__ == "__main__":
from mixins import FetchMixin
else:
from unittest import main
##############################################################################
######################################################... | 21.377778 | 78 | 0.456341 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests for ProgArchives service.
"""
if __name__ == "__main__":
from mixins import FetchMixin
else:
from .mixins import FetchMixin
from six import u
from unittest import TestCase, main
########################################################################... | 0 | 0 | 0 | 479 | 0 | 0 | 0 | 15 | 72 |
4598f20dd4aefd3a0b282f042ef924338144d20a | 11,793 | py | Python | cuzdi_toolbox.py | parallaxe1/cuzdi_mask | 6b6fdb357354e75a8f2b8d6f4b4d33dc6f9e0721 | [
"MIT"
] | null | null | null | cuzdi_toolbox.py | parallaxe1/cuzdi_mask | 6b6fdb357354e75a8f2b8d6f4b4d33dc6f9e0721 | [
"MIT"
] | null | null | null | cuzdi_toolbox.py | parallaxe1/cuzdi_mask | 6b6fdb357354e75a8f2b8d6f4b4d33dc6f9e0721 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 15 18:02:25 2015
@author: a.mester
"""
#import numpy
import math
def m2pt( m_value ):
"meter to pt"
#m2pt = 2.835270768e3*m_value
m2pt = 1e3 * m_value # m2mm - update 2020
return m2pt
def deg2rad( deg_value ):
"degree to radian... | 51.723684 | 470 | 0.596371 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 15 18:02:25 2015
@author: a.mester
"""
#import numpy
import math
import string
def m2pt( m_value ):
"meter to pt"
#m2pt = 2.835270768e3*m_value
m2pt = 1e3 * m_value # m2mm - update 2020
return m2pt
def deg2rad( deg_value ):
"de... | 14 | 0 | 0 | 0 | 0 | 11,323 | 0 | -8 | 91 |
9f223b174011fedf231c202a1cc6142069293e93 | 708 | py | Python | day01_solve_puzzle2.py | olsgaard/adventofcode2019 | 1e14fd38f472cde894cbbbd7eebdd6545cd4c4ee | [
"MIT"
] | 1 | 2019-12-05T20:08:07.000Z | 2019-12-05T20:08:07.000Z | day01_solve_puzzle2.py | olsgaard/adventofcode2019 | 1e14fd38f472cde894cbbbd7eebdd6545cd4c4ee | [
"MIT"
] | null | null | null | day01_solve_puzzle2.py | olsgaard/adventofcode2019 | 1e14fd38f472cde894cbbbd7eebdd6545cd4c4ee | [
"MIT"
] | null | null | null | """
So, for each module mass, calculate its fuel and add it to the total.
Then, treat the fuel amount you just calculated as the input mass and repeat the process,
continuing until a fuel requirement is zero or negative.
"""
assert calculate_fuels_fuel(14) == 2
assert calculate_fuels_fuel(1969) == 966
assert calcul... | 27.230769 | 90 | 0.713277 | """
So, for each module mass, calculate its fuel and add it to the total.
Then, treat the fuel amount you just calculated as the input mass and repeat the process,
continuing until a fuel requirement is zero or negative.
"""
def calculate_fuel(mass):
return int(mass / 3) - 2
def calculate_fuels_fuel(mass):
... | 0 | 0 | 0 | 0 | 0 | 168 | 0 | 0 | 46 |
4fbb620dd4c264c8f94e19702dbc6a7426a52c7a | 449 | py | Python | for_testing.py | MrSakaikun/ExtractTopicWord | 5bfcd0320f4fe6b265df2664e73eaff67d8bc7a0 | [
"MIT"
] | null | null | null | for_testing.py | MrSakaikun/ExtractTopicWord | 5bfcd0320f4fe6b265df2664e73eaff67d8bc7a0 | [
"MIT"
] | null | null | null | for_testing.py | MrSakaikun/ExtractTopicWord | 5bfcd0320f4fe6b265df2664e73eaff67d8bc7a0 | [
"MIT"
] | null | null | null |
text_for_test = [
'',
'',
''
]
if __name__ == '__main__':
main()
| 20.409091 | 97 | 0.599109 | from extract_topicword import ExtractTopicWord
text_for_test = [
'明日は元気に研究しに行く予定だ．',
'電気通信大学は良い大学だ．',
'数学の成績が良い．'
]
def main():
#話題語抽出器の読み込み
etw = ExtractTopicWord(corpus_choice='for_test', conditional_noun='all', format='binaryfile')
#テスト
for text in text_for_test:
print(text)
print... | 156 | 0 | 0 | 0 | 0 | 255 | 0 | 25 | 45 |
1d84310462d153c62dc560b37bf4bda5d6c3fcd1 | 5,118 | py | Python | lis/utils/afwa/retune_bratseth/scripts/semivar.py | KathyNie/LISF | 5c3e8b94494fac5ff76a1a441a237e32af420d06 | [
"Apache-2.0"
] | 67 | 2018-11-13T21:40:54.000Z | 2022-02-23T08:11:56.000Z | lis/utils/usaf/retune_bratseth/scripts/semivar.py | dmocko/LISF | 08d024d6d5fe66db311e43e78740842d653749f4 | [
"Apache-2.0"
] | 679 | 2018-11-13T20:10:29.000Z | 2022-03-30T19:55:25.000Z | lis/utils/usaf/retune_bratseth/scripts/semivar.py | dmocko/LISF | 08d024d6d5fe66db311e43e78740842d653749f4 | [
"Apache-2.0"
] | 119 | 2018-11-08T15:53:35.000Z | 2022-03-28T10:16:01.000Z | #!/usr/bin/env python3
"""
SCRIPT: semivar.py
Contains common functions used by both fit_semivariogram.py and
plot_semivariogram.py.
REVISION HISTORY:
20 Nov 2020: Eric Kemp. Initial specification.
"""
# Standard library
import os
import sys
# Other libraries
import numpy as np
#-----------------------------------... | 32.598726 | 79 | 0.555881 | #!/usr/bin/env python3
"""
SCRIPT: semivar.py
Contains common functions used by both fit_semivariogram.py and
plot_semivariogram.py.
REVISION HISTORY:
20 Nov 2020: Eric Kemp. Initial specification.
"""
# Standard library
import configparser
import os
import sys
# Other libraries
import numpy as np
#---------------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
b758e05b038b56ca95f3f687d44742172bb9f569 | 1,859 | py | Python | synapsesuggestor/urls.py | clbarnes/CATMAID-synapsesuggestor | 7b9ffd96c034ca47a6567ebbeb0eff4ece44cb33 | [
"MIT"
] | 3 | 2017-07-27T20:33:14.000Z | 2018-11-09T11:14:24.000Z | synapsesuggestor/urls.py | clbarnes/CATMAID-synapsesuggestor | 7b9ffd96c034ca47a6567ebbeb0eff4ece44cb33 | [
"MIT"
] | 10 | 2017-09-29T14:43:32.000Z | 2018-11-13T19:19:22.000Z | synapsesuggestor/urls.py | clbarnes/CATMAID-synapsesuggestor | 7b9ffd96c034ca47a6567ebbeb0eff4ece44cb33 | [
"MIT"
] | 1 | 2018-06-15T19:12:55.000Z | 2018-06-15T19:12:55.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf.urls import url
from synapsesuggestor.control import (treenode_association as node_assoc, synapse_detection as syn_det, workflow, analysis, training_data)
app_name = 'synapsesuggestor'
urlpatterns = []
# synapse detection endpoints
u... | 38.729167 | 114 | 0.749866 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf.urls import url
from synapsesuggestor.control import (
treenode_association as node_assoc, synapse_detection as syn_det, workflow, analysis, training_data
)
app_name = 'synapsesuggestor'
urlpatterns = []
# synapse detection endpoi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
95e33dd33f74d65f9d756245f2c105ffb4a9915d | 916 | py | Python | launcher.py | Timofey-Lutsenko/InfoTechTest | 9f8b15f1e949a21087871794dc7dbb55466c39a4 | [
"MIT"
] | null | null | null | launcher.py | Timofey-Lutsenko/InfoTechTest | 9f8b15f1e949a21087871794dc7dbb55466c39a4 | [
"MIT"
] | null | null | null | launcher.py | Timofey-Lutsenko/InfoTechTest | 9f8b15f1e949a21087871794dc7dbb55466c39a4 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger('mainapp.log')
# Opening console on start
if __name__ == '__main__':
launcher()
| 25.444444 | 75 | 0.548035 | import subprocess
import logging
import os
logger = logging.getLogger('mainapp.log')
def path_checker(path):
if os.path.exists(path):
return True
else:
return False
# Opening console on start
def launcher():
print('Input get src_path dst_path - to download file from Dr... | 0 | 0 | 0 | 0 | 0 | 693 | 0 | -16 | 94 |
d33ac18f5ed307a392b1d646c1cdac16a5d4aaa4 | 6,880 | py | Python | Mfold/data/_rna.py | old-dasadan/DNAScoring | b22cdb50c184f09199690d222008195767d0314f | [
"MIT"
] | null | null | null | Mfold/data/_rna.py | old-dasadan/DNAScoring | b22cdb50c184f09199690d222008195767d0314f | [
"MIT"
] | null | null | null | Mfold/data/_rna.py | old-dasadan/DNAScoring | b22cdb50c184f09199690d222008195767d0314f | [
"MIT"
] | null | null | null | """Parse the energies from Turner, 2004 to rna.py."""
from os import path
DIR = path.dirname(path.realpath(__file__))
DIR_DATA = path.join(DIR, "..", "data")
DE = path.join(DIR_DATA, "rna.dangle.txt") # input files
DE_DH = path.join(DIR_DATA, "rna.dangle.dh.txt")
LOOP = path.join(DIR_DATA, "rna.loop.txt"... | 28.907563 | 89 | 0.519477 | """Parse the energies from Turner, 2004 to rna.py."""
from os import path
DIR = path.dirname(path.realpath(__file__))
DIR_DATA = path.join(DIR, "..", "data")
DE = path.join(DIR_DATA, "rna.dangle.txt") # input files
DE_DH = path.join(DIR_DATA, "rna.dangle.dh.txt")
LOOP = path.join(DIR_DATA, "rna.loop.txt"... | 0 | 0 | 0 | 0 | 0 | 2,373 | 0 | 0 | 112 |
61c53bd884818c62faef28ac94fcedc9ef4b1fbc | 2,062 | py | Python | tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_navigation.py | jedp/gaia | 1379d47a41a479fec4c7ac7106afaaa02fcc800e | [
"Apache-2.0"
] | 1 | 2017-09-09T12:55:56.000Z | 2017-09-09T12:55:56.000Z | tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_navigation.py | jedp/gaia | 1379d47a41a479fec4c7ac7106afaaa02fcc800e | [
"Apache-2.0"
] | null | null | null | tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_navigation.py | jedp/gaia | 1379d47a41a479fec4c7ac7106afaaa02fcc800e | [
"Apache-2.0"
] | null | null | null | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
| 37.490909 | 121 | 0.728419 | # This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from marionette.by import By
from gaiatest import GaiaTestCase
from gaiatest.apps.browser.app import Browser
class Te... | 0 | 0 | 0 | 1,728 | 0 | 0 | 0 | 43 | 91 |
3182c95b8df7b3db2f759556629d18b8c5e0c9c4 | 5,607 | py | Python | evaluate.py | wuzhanghui/postrate | 24291edbc8df9b88f347aee132a128c78d17cc21 | [
"Apache-2.0"
] | null | null | null | evaluate.py | wuzhanghui/postrate | 24291edbc8df9b88f347aee132a128c78d17cc21 | [
"Apache-2.0"
] | null | null | null | evaluate.py | wuzhanghui/postrate | 24291edbc8df9b88f347aee132a128c78d17cc21 | [
"Apache-2.0"
] | null | null | null | import os
import argparse
from douzero.evaluation.simulation import evaluate
if __name__ == '__main__':
#
# parser = argparse.ArgumentParser(
# 'Dou Dizhu Evaluation')
# parser.add_argument('--landlord', type=str,
# default='baselines/ADP/landlord.ckpt')
# parser.add_... | 47.923077 | 96 | 0.658463 | import os
import argparse
from douzero.evaluation.simulation import evaluate
if __name__ == '__main__':
#测试农民
# parser = argparse.ArgumentParser(
# 'Dou Dizhu Evaluation')
# parser.add_argument('--landlord', type=str,
# default='baselines/ADP/landlord.ckpt')
# parser.... | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
044a64fffec87d06815a68b5ce9520b9d4e4ebe1 | 1,808 | py | Python | test_snowflake.py | TuskyOrg/snowflake-python-client | c64b9e34135a9fbdff9b745da762da8dd77f607c | [
"MIT"
] | null | null | null | test_snowflake.py | TuskyOrg/snowflake-python-client | c64b9e34135a9fbdff9b745da762da8dd77f607c | [
"MIT"
] | null | null | null | test_snowflake.py | TuskyOrg/snowflake-python-client | c64b9e34135a9fbdff9b745da762da8dd77f607c | [
"MIT"
] | null | null | null |
import pytest
if __name__ == "__main__":
pytest.main()
| 26.202899 | 85 | 0.705199 | import datetime
from unittest.mock import patch
import pytest
import _fake_service
import tusky_snowflake
@pytest.fixture()
def flake():
return tusky_snowflake.Snowflake("43755317257211904")
def test_eq(flake: tusky_snowflake.Snowflake):
assert flake == 43755317257211904
another_flake = tusky_snowflak... | 0 | 911 | 0 | 0 | 0 | 550 | 0 | 4 | 273 |
d010d18e38886adf16da8a661f8546bba6c3ed64 | 2,821 | py | Python | bot.py | ajchili/SquatBot | 96506bafb238ea136eef2f51ec24c0fd9440564d | [
"Apache-2.0"
] | 1 | 2018-02-09T21:32:12.000Z | 2018-02-09T21:32:12.000Z | bot.py | ajchili/SquatBot | 96506bafb238ea136eef2f51ec24c0fd9440564d | [
"Apache-2.0"
] | null | null | null | bot.py | ajchili/SquatBot | 96506bafb238ea136eef2f51ec24c0fd9440564d | [
"Apache-2.0"
] | null | null | null | import socket
HOST = 'irc.twitch.tv'
PORT = 6667
NAME = 'squat_bot'
PASS = ''
CHANNEL = 'thebasementintern'
CONNECT_MESSAGE = 'Come on ladies move those muscles!'
CHEERS = [ 'cheer', 'Kappa', 'DansGame', 'EleGiggle', 'TriHard', 'Kreygasm', '4Head', 'SwiftRage', 'NotLikeThis', 'FailFish', 'VoHiYo', 'PJSalt'... | 25.645455 | 184 | 0.571783 | import socket
import os
HOST = 'irc.twitch.tv'
PORT = 6667
NAME = 'squat_bot'
PASS = ''
CHANNEL = 'thebasementintern'
CONNECT_MESSAGE = 'Come on ladies move those muscles!'
CHEERS = [ 'cheer', 'Kappa', 'DansGame', 'EleGiggle', 'TriHard', 'Kreygasm', '4Head', 'SwiftRage', 'NotLikeThis', 'FailFish', 'VoHiYo... | 0 | 0 | 0 | 0 | 0 | 1,082 | 0 | -12 | 223 |
25abacc583cb6abd62c62330b622fc4173ca4f70 | 2,221 | py | Python | morphocell/image.py | alxndrkalinin/morphocell | 00e2529756c95e8a6ccf06c2a222ac5eff9de328 | [
"MIT"
] | null | null | null | morphocell/image.py | alxndrkalinin/morphocell | 00e2529756c95e8a6ccf06c2a222ac5eff9de328 | [
"MIT"
] | null | null | null | morphocell/image.py | alxndrkalinin/morphocell | 00e2529756c95e8a6ccf06c2a222ac5eff9de328 | [
"MIT"
] | null | null | null | """Contains a simple class for storing image data."""
| 32.661765 | 99 | 0.578118 | """Contains a simple class for storing image data."""
from typing import Optional, Sequence
import numpy as np
from .gpu import get_gpu_info, get_device, get_image_method
class Image:
"""A simple class to store NumPy/CuPy image data and metadata."""
gpu_info = get_gpu_info()
def __init__(
self... | 0 | 0 | 0 | 2,024 | 0 | 0 | 0 | 51 | 91 |
f581ad6899e7bb1b28379889a63d34c055c340ce | 391 | py | Python | RecoBTag/Combined/python/candidateChargeBTagComputer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | RecoBTag/Combined/python/candidateChargeBTagComputer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | RecoBTag/Combined/python/candidateChargeBTagComputer_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
candidateChargeBTagComputer = cms.ESProducer("CandidateChargeBTagESProducer",
useCondDB = cms.bool(False),
gbrForestLabel = cms.string(""),
weightFile = cms.FileInPath('RecoBTag/Combined/data/ChargeBTag_4sep_2016.weights.xml.gz'),
useAdaBoost = cms.bool(True),
... | 35.545455 | 94 | 0.741688 | import FWCore.ParameterSet.Config as cms
candidateChargeBTagComputer = cms.ESProducer("CandidateChargeBTagESProducer",
useCondDB = cms.bool(False),
gbrForestLabel = cms.string(""),
weightFile = cms.FileInPath('RecoBTag/Combined/data/ChargeBTag_4sep_2016.weights.xml.gz'),
useAdaBoost = cms.bool(True),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2cc0746b93e46e395c6b923ab384970679f67296 | 220 | py | Python | dosed/datasets/__init__.py | BadrYoubiIdrissi/dosed | d4cefc11f85b0fca4c8dd947331dfa7b63ac9e26 | [
"MIT"
] | 40 | 2019-04-12T16:18:40.000Z | 2022-03-02T07:03:58.000Z | dosed/datasets/__init__.py | BadrYoubiIdrissi/dosed | d4cefc11f85b0fca4c8dd947331dfa7b63ac9e26 | [
"MIT"
] | 5 | 2019-10-28T14:19:20.000Z | 2021-08-19T07:43:41.000Z | dosed/datasets/__init__.py | BadrYoubiIdrissi/dosed | d4cefc11f85b0fca4c8dd947331dfa7b63ac9e26 | [
"MIT"
] | 15 | 2019-04-13T22:14:42.000Z | 2022-02-27T14:57:38.000Z | from .dataset import EventDataset, BalancedEventDataset
from .utils import collate, get_train_validation_test
__all__ = [
"EventDataset",
"collate",
"BalancedEventDataset",
"get_train_validation_test"
]
| 22 | 55 | 0.759091 | from .dataset import EventDataset, BalancedEventDataset
from .utils import collate, get_train_validation_test
__all__ = [
"EventDataset",
"collate",
"BalancedEventDataset",
"get_train_validation_test"
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9b04290a32f68fa56cda3182595fe0fc26858f3f | 2,039 | py | Python | convolutional_neural_networks/semantic_segmentation/run_session_code.py | jithari/Autonomous-World-Mentoring | 67ff9199bdf678313139af8aeadaa6d27d365504 | [
"MIT"
] | null | null | null | convolutional_neural_networks/semantic_segmentation/run_session_code.py | jithari/Autonomous-World-Mentoring | 67ff9199bdf678313139af8aeadaa6d27d365504 | [
"MIT"
] | null | null | null | convolutional_neural_networks/semantic_segmentation/run_session_code.py | jithari/Autonomous-World-Mentoring | 67ff9199bdf678313139af8aeadaa6d27d365504 | [
"MIT"
] | 2 | 2021-02-02T15:25:16.000Z | 2021-02-02T15:59:36.000Z | import cv2
MODEL_PATH = r"models/enet-model.net"
NET_INPUT = (1024, 512)
RED = [255, 0, 0]
ORANGE = [255, 165, 0]
YELLOW = [255, 255, 0]
GREEN = [0, 255, 0]
BLUE = [0, 0, 255]
INDIGO = [75, 0, 130]
VIOLET = [238, 130, 238]
BLACK = [0, 0, 0]
GRAY = [127, 127, 127]
WHITE = [255, 255, 255]
CYAN = [0, 255, 255]
PURPLE = ... | 20.188119 | 64 | 0.600294 | import cv2
import imutils
import numpy as np
MODEL_PATH = r"models/enet-model.net"
NET_INPUT = (1024, 512)
RED = [255, 0, 0]
ORANGE = [255, 165, 0]
YELLOW = [255, 255, 0]
GREEN = [0, 255, 0]
BLUE = [0, 0, 255]
INDIGO = [75, 0, 130]
VIOLET = [238, 130, 238]
BLACK = [0, 0, 0]
GRAY = [127, 127, 127]
WHITE = [255, 255, 2... | 0 | 0 | 0 | 0 | 0 | 881 | 0 | -10 | 90 |
4a1f96b05c411192ba7f31908baaeca076432642 | 1,652 | py | Python | src/common/dynamiccode/dynamiccode.py | catarinaacsilva/security_auction | f0b76ad47ca8cc211fd90712c2090b8e5ff934a5 | [
"MIT"
] | null | null | null | src/common/dynamiccode/dynamiccode.py | catarinaacsilva/security_auction | f0b76ad47ca8cc211fd90712c2090b8e5ff934a5 | [
"MIT"
] | 1 | 2021-06-01T23:30:44.000Z | 2021-06-01T23:30:44.000Z | src/common/dynamiccode/dynamiccode.py | catarinaacsilva/security_auction | f0b76ad47ca8cc211fd90712c2090b8e5ff934a5 | [
"MIT"
] | null | null | null | import logging
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger('DC')
logger.setLevel(logging.DEBUG)
| 30.036364 | 103 | 0.592615 | import sys
import logging
from RestrictedPython import compile_restricted
from RestrictedPython import safe_builtins
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger('DC')
logger.setLevel(logging.DEBUG)
class DynamicCode:
@static... | 0 | 1,263 | 0 | -3 | 0 | 0 | 0 | 36 | 170 |
f33574b1ea2a3689cc168276ec9b1fd327e69616 | 122 | py | Python | app/app.py | noosxe/rules_python_example | 8dcd8e46da1e97d5f4a531b7861da0037c80c58d | [
"MIT"
] | null | null | null | app/app.py | noosxe/rules_python_example | 8dcd8e46da1e97d5f4a531b7861da0037c80c58d | [
"MIT"
] | null | null | null | app/app.py | noosxe/rules_python_example | 8dcd8e46da1e97d5f4a531b7861da0037c80c58d | [
"MIT"
] | null | null | null | import requests
response = requests.get('https://google.com')
print(f'response status code was {response.status_code}')
| 20.333333 | 57 | 0.762295 | import requests
response = requests.get('https://google.com')
print(f'response status code was {response.status_code}')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
339563e6ea9aacaae46f1e2e64f1fcd2e66e53fc | 1,464 | py | Python | jp.atcoder/abc170/abc170_e/30759780.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-09T03:06:25.000Z | 2022-02-09T03:06:25.000Z | jp.atcoder/abc170/abc170_e/30759767.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | 1 | 2022-02-05T22:53:18.000Z | 2022-02-09T01:29:30.000Z | jp.atcoder/abc170/abc170_e/30759780.py | kagemeka/atcoder-submissions | 91d8ad37411ea2ec582b10ba41b1e3cae01d4d6e | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 24 | 66 | 0.487022 | import typing
import heapq
def main() -> None:
n, q = map(int, input().split())
K = 1 << 18
rate_queues = [[] for _ in range(K)]
rate = [-1] * n
belongs_to = [-1] * n
for i in range(n):
r, j = map(int, input().split())
j -= 1
belongs_to[i] = j
... | 0 | 0 | 0 | 0 | 0 | 1,364 | 0 | -17 | 71 |
7c268b5b87557c08cd39ec8b65123cbf2784f3a1 | 498 | py | Python | agate/tableset/to_csv.py | andriyor/agate | 9b12d4bcc75bf3788e0774e23188f4409c3e7519 | [
"MIT"
] | 663 | 2016-02-16T13:43:00.000Z | 2022-03-13T17:21:19.000Z | agate/tableset/to_csv.py | andriyor/agate | 9b12d4bcc75bf3788e0774e23188f4409c3e7519 | [
"MIT"
] | 371 | 2020-03-04T21:51:56.000Z | 2022-03-31T20:59:11.000Z | agate/tableset/to_csv.py | andriyor/agate | 9b12d4bcc75bf3788e0774e23188f4409c3e7519 | [
"MIT"
] | 122 | 2016-02-23T02:43:24.000Z | 2022-03-04T17:21:14.000Z | #!/usr/bin/env python
import os
def to_csv(self, dir_path, **kwargs):
"""
Write each table in this set to a separate CSV in a given
directory.
See :meth:`.Table.to_csv` for additional details.
:param dir_path:
Path to the directory to write the CSV files to.
"""
if not os.path.e... | 21.652174 | 61 | 0.62249 | #!/usr/bin/env python
import os
def to_csv(self, dir_path, **kwargs):
"""
Write each table in this set to a separate CSV in a given
directory.
See :meth:`.Table.to_csv` for additional details.
:param dir_path:
Path to the directory to write the CSV files to.
"""
if not os.path.e... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b30dfde2f601342bf194c249cfb9445c081e3f7f | 1,654 | py | Python | simulation.py | vporubsky/COMBINE_2020_reproducibility | 43ae5cda128845fbb1d63bc22dc97c0afff04c0c | [
"Apache-2.0"
] | null | null | null | simulation.py | vporubsky/COMBINE_2020_reproducibility | 43ae5cda128845fbb1d63bc22dc97c0afff04c0c | [
"Apache-2.0"
] | null | null | null | simulation.py | vporubsky/COMBINE_2020_reproducibility | 43ae5cda128845fbb1d63bc22dc97c0afff04c0c | [
"Apache-2.0"
] | null | null | null | '''simulation.py
Simulation script for model_v003.py which imports fitted parameters
k1 and k4 from parameter_estimation.py and curated kinetic constant for k7
from data_aggregation.py.'''
from model_v003 import antimony_str
import tellurium as te
import matplotlib.pyplot as plt
from data_aggregation import k7
plt.sty... | 37.590909 | 95 | 0.769045 | '''simulation.py
Simulation script for model_v003.py which imports fitted parameters
k1 and k4 from parameter_estimation.py and curated kinetic constant for k7
from data_aggregation.py.'''
from model_v003 import antimony_str
import tellurium as te
import matplotlib.pyplot as plt
from data_aggregation import k7
plt.sty... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a7ba41a04df4657aef3710ab5d53a9932c9d4299 | 3,085 | py | Python | tests/path_checker/test_convert_file.py | yumechi/webp_image_converter | dd5e3dfa0fb36251fb6b17bae0989d0f8091b677 | [
"MIT"
] | null | null | null | tests/path_checker/test_convert_file.py | yumechi/webp_image_converter | dd5e3dfa0fb36251fb6b17bae0989d0f8091b677 | [
"MIT"
] | null | null | null | tests/path_checker/test_convert_file.py | yumechi/webp_image_converter | dd5e3dfa0fb36251fb6b17bae0989d0f8091b677 | [
"MIT"
] | null | null | null | """
"""
import os
import pathlib
from src.converter import file_conveter
from src.converter.logger import Logger
INPUT_ROOT_DIR = pathlib.Path("./test_input")
OUTPUT_ROOT_DIR = pathlib.Path("./test_output")
file_conveter.logger = Logger().get_logger()
def test_convert_all():
"""
"""
file_c... | 25.081301 | 75 | 0.653485 | """
全体的なテスト
"""
import os
import pathlib
import shutil
from src.converter import file_conveter
from src.converter.logger import Logger
INPUT_ROOT_DIR = pathlib.Path("./test_input")
OUTPUT_ROOT_DIR = pathlib.Path("./test_output")
file_conveter.logger = Logger().get_logger()
def cleanup_output_dir_files():
def ... | 615 | 0 | 0 | 0 | 0 | 251 | 0 | -8 | 45 |
41fb4cf019ba99779d442ad3d7e2703eebe1f3d3 | 463 | py | Python | ambvis/system_settings.py | jonasoh/ambvis | ee4d9f8ea12aef079638f183c4124bcf4d2a5368 | [
"BSD-2-Clause"
] | null | null | null | ambvis/system_settings.py | jonasoh/ambvis | ee4d9f8ea12aef079638f183c4124bcf4d2a5368 | [
"BSD-2-Clause"
] | null | null | null | ambvis/system_settings.py | jonasoh/ambvis | ee4d9f8ea12aef079638f183c4124bcf4d2a5368 | [
"BSD-2-Clause"
] | null | null | null | from flask import Blueprint
from ambvis.config import Config
cfg = Config()
bp = Blueprint('system_settings', __name__, url_prefix='/settings/system')
| 28.9375 | 105 | 0.786177 | from flask import Blueprint, Response, request, abort, session, redirect, url_for, flash, render_template
from ambvis import globals
from ambvis.hw import motor, MotorError
from ambvis.config import Config
from ambvis.logger import log, debug
from ambvis.decorators import public_route
cfg = Config()
bp = Blueprint('s... | 0 | 61 | 0 | 0 | 0 | 0 | 0 | 137 | 112 |
d12a2a3afd345455803d15c36a8ae66e6f4bee9b | 13,265 | py | Python | pytorch/models.py | mimbres/dcase2019_task4 | d54cde279a3261494fe7d1d68b65dda5ce3b66cc | [
"MIT"
] | 19 | 2019-03-13T09:09:59.000Z | 2021-08-02T15:16:26.000Z | pytorch/models.py | mimbres/dcase2019_task4 | d54cde279a3261494fe7d1d68b65dda5ce3b66cc | [
"MIT"
] | 2 | 2019-07-10T15:56:50.000Z | 2021-05-13T10:43:12.000Z | pytorch/models.py | mimbres/dcase2019_task4 | d54cde279a3261494fe7d1d68b65dda5ce3b66cc | [
"MIT"
] | 5 | 2019-04-10T05:39:42.000Z | 2021-09-09T05:58:46.000Z | import torch.nn as nn
def init_layer(layer, nonlinearity='leaky_relu'):
"""Initialize a Linear or Convolutional layer. """
nn.init.kaiming_uniform_(layer.weight, nonlinearity=nonlinearity)
if hasattr(layer, 'bias'):
if layer.bias is not None:
layer.bias.data.fill_(0.)
def in... | 36.847222 | 85 | 0.597738 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_utils import interpolate
def init_layer(layer, nonlinearity='leaky_relu'):
"""Initialize a Linear or Convolutional layer. """
nn.init.kaiming_uniform_(layer.weight, nonlinearity=nonlinearity)
if hasattr(layer, '... | 0 | 0 | 0 | 12,495 | 0 | 0 | 0 | 7 | 229 |
a8e4a4c30d58df87ed1599cd4fd023647f1da263 | 60 | py | Python | spyns/algorithms/__init__.py | datamaterials/spyns | 68e8412ba003e2d882373db93f322497be7bff93 | [
"MIT"
] | 9 | 2019-12-06T06:54:04.000Z | 2022-03-14T00:16:47.000Z | spyns/algorithms/__init__.py | jkglasbrenner/spyns | 68e8412ba003e2d882373db93f322497be7bff93 | [
"MIT"
] | 1 | 2018-10-31T16:41:07.000Z | 2018-11-19T21:19:56.000Z | spyns/algorithms/__init__.py | datamaterials/spyns | 68e8412ba003e2d882373db93f322497be7bff93 | [
"MIT"
] | 2 | 2019-12-06T06:06:45.000Z | 2020-02-12T11:35:30.000Z | # -*- coding: utf-8 -*-
| 15 | 34 | 0.683333 | # -*- coding: utf-8 -*-
import spyns.algorithms.metropolis
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 23 |
40bb0445ed3e1b9bd72f78e8ebd553ecf67fd482 | 996 | py | Python | python_scripts/check_domain_monophyly.py | Neo-sage/UniveralMarkerEMTW | ad4e21076282ef485e2c9cc11eb10a2dddc09b2e | [
"MIT"
] | null | null | null | python_scripts/check_domain_monophyly.py | Neo-sage/UniveralMarkerEMTW | ad4e21076282ef485e2c9cc11eb10a2dddc09b2e | [
"MIT"
] | null | null | null | python_scripts/check_domain_monophyly.py | Neo-sage/UniveralMarkerEMTW | ad4e21076282ef485e2c9cc11eb10a2dddc09b2e | [
"MIT"
] | null | null | null | from __future__ import print_function
import re, sys
from ete3 import Tree
target_tree = sys.argv[1]
#map tip IDs to domain
tip_to_domain = {}
inh = open("genomemetadata.tsv")
for line in inh:
fields = re.split("\t", line.rstrip())
tip_to_domain[fields[0]] = fields[21]
inh.close()
num_arch = 0
num_bact = 0
tree = ... | 27.666667 | 106 | 0.678715 | from __future__ import print_function
import os, re, sys
from ete3 import Tree
target_tree = sys.argv[1]
#map tip IDs to domain
tip_to_domain = {}
inh = open("genomemetadata.tsv")
for line in inh:
fields = re.split("\t", line.rstrip())
tip_to_domain[fields[0]] = fields[21]
inh.close()
num_arch = 0
num_bact = 0
tre... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 |
8461013673249ffcfbdd9c685f7daa15ccf50ae7 | 4,075 | py | Python | article/views.py | yubang/tech | 3509a86d5be0c45963a1f5c097fe56d9f9dcb769 | [
"Apache-2.0"
] | null | null | null | article/views.py | yubang/tech | 3509a86d5be0c45963a1f5c097fe56d9f9dcb769 | [
"Apache-2.0"
] | null | null | null | article/views.py | yubang/tech | 3509a86d5be0c45963a1f5c097fe56d9f9dcb769 | [
"Apache-2.0"
] | null | null | null | # coding:UTF-8
def get_labels(obj):
"""
:param label:
:return: list
"""
if obj:
obj.label = obj.label.split(",")
return obj
| 33.401639 | 97 | 0.532025 | # coding:UTF-8
from django.shortcuts import render_to_response
from django.http import HttpResponseNotFound
from django.core.exceptions import ObjectDoesNotExist
from tech.models import ArticleModel, ArticleReadNumber
from django.db.models import F
import json
def get_labels(obj):
"""
获取标签列表
:param labe... | 159 | 0 | 0 | 0 | 0 | 3,419 | 0 | 114 | 317 |
756633cf281f6af44b11ce1c8eeb70ae962aa0ce | 1,068 | py | Python | analysis/top_25_users.py | adunkman/hows-my-driving-dc | c8d9422290a75eb06d9238399154df5d6f88e4b6 | [
"MIT"
] | 21 | 2018-07-25T03:47:24.000Z | 2021-10-08T19:58:09.000Z | analysis/top_25_users.py | adunkman/hows-my-driving-dc | c8d9422290a75eb06d9238399154df5d6f88e4b6 | [
"MIT"
] | 18 | 2018-07-25T14:57:27.000Z | 2022-03-11T23:34:01.000Z | analysis/top_25_users.py | adunkman/hows-my-driving-dc | c8d9422290a75eb06d9238399154df5d6f88e4b6 | [
"MIT"
] | 3 | 2019-02-17T00:07:30.000Z | 2021-10-08T19:58:14.000Z | import sqlite3
import pandas as pd
# Establish Connection
con= sqlite3.connect(r'../archive.db')
cur = con.cursor()
# Max Date
df = pd.read_sql("""SELECT
MAX(date(created_at)) as end_date
FROM tweets
WHERE (number NOT IN ('NOTAGS', 'notag', 'na')) OR
... | 31.411765 | 83 | 0.486891 | import sqlite3
import pandas as pd
import altair as alt
from datetime import date
# Establish Connection
con= sqlite3.connect(r'../archive.db')
cur = con.cursor()
# Max Date
df = pd.read_sql("""SELECT
MAX(date(created_at)) as end_date
FROM tweets
WHERE (nu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 44 |
86a9dbe72b71f200bcd22ad04611655a5f03a414 | 1,752 | py | Python | code/app/bookmarks/model.py | TomOrth/trenton-catalog-system | c40a0d7f1b667972baa0db2d53c6c65233de0c30 | [
"MIT"
] | 2 | 2021-05-04T20:03:38.000Z | 2021-05-05T01:41:26.000Z | code/app/bookmarks/model.py | TomOrth/trenton-catalog-system | c40a0d7f1b667972baa0db2d53c6c65233de0c30 | [
"MIT"
] | null | null | null | code/app/bookmarks/model.py | TomOrth/trenton-catalog-system | c40a0d7f1b667972baa0db2d53c6c65233de0c30 | [
"MIT"
] | null | null | null | """
BookmarkTranscript model to represent the user_transcript_view
By: Tom Orth
""" | 31.854545 | 99 | 0.640982 | """
BookmarkTranscript model to represent the user_transcript_view
By: Tom Orth
"""
from app.database.entity import Entity
class BookmarkTranscript(Entity):
"""
BookmarkTranscript Entity Class
"""
def __init__(self):
"""
Instantiate the object
"""
self.user_id = -1
... | 0 | 1,143 | 0 | 464 | 0 | 0 | 0 | 17 | 44 |
6e28b70b57732d2994e0b212e99122e11d61d96f | 1,024 | py | Python | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | from clustering_algorithms import get_initial_points
from data_loaders import load_data
from visualizers import plot_data
# FILENAME = "datasets/artificial/sizes3.arff"
FILENAME = "datasets/artificial/zelnik4.arff"
# FILENAME = "datasets/artificial/xclara.arff"
# FILENAME = "datasets/real-world/glass.arff"
if __na... | 30.117647 | 88 | 0.709961 | from clustering_algorithms import CLARA, PAM, get_initial_points
from data_loaders import load_data
from timer import Timer
from visualizers import plot_data
# FILENAME = "datasets/artificial/sizes3.arff"
FILENAME = "datasets/artificial/zelnik4.arff"
# FILENAME = "datasets/artificial/xclara.arff"
# FILENAME = "dataset... | 0 | 0 | 0 | 0 | 0 | 246 | 0 | 14 | 68 |
464d85ae39cce95e20d07923fc7623776d8c525f | 4,739 | py | Python | 2017/day14/2017_14.py | stenbein/AdventOfCode | 3e8c24f7140dd9cdc687e176272af6a1302a9ca5 | [
"MIT"
] | 3 | 2018-04-08T10:40:52.000Z | 2018-12-06T02:37:23.000Z | 2017/day14/2017_14.py | stenbein/AdventOfCode | 3e8c24f7140dd9cdc687e176272af6a1302a9ca5 | [
"MIT"
] | 2 | 2018-04-10T11:44:18.000Z | 2022-02-22T21:25:54.000Z | 2017/day14/2017_14.py | stenbein/AdventOfCode | 3e8c24f7140dd9cdc687e176272af6a1302a9ca5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
--- Day 14: Disk Defragmentation ---
Cut and pasted the knot hash script from day 10. When I first tackled this
problem I omitted some details from the day 10 implementation and ran into
errors. It was the intent of the contest designer to use the prior method
including the inputs an... | 27.876471 | 103 | 0.585989 | # -*- coding: utf-8 -*-
"""
--- Day 14: Disk Defragmentation ---
Cut and pasted the knot hash script from day 10. When I first tackled this
problem I omitted some details from the day 10 implementation and ran into
errors. It was the intent of the contest designer to use the prior method
including the inputs an... | 0 | 0 | 0 | 673 | 0 | 2,650 | 0 | 0 | 222 |
abe6415b697eb5538a80c56b4e6ee3b376258001 | 18,400 | py | Python | The_Garbage_Can_Model_v40.py | Mac13kW/Garbage_Can_Model | d8c79423f5218a8b6b1329f2330e83d5fc761719 | [
"MIT"
] | 3 | 2019-04-21T06:44:28.000Z | 2021-04-25T10:06:03.000Z | The_Garbage_Can_Model_v40.py | Mac13kW/Garbage_Can_Model | d8c79423f5218a8b6b1329f2330e83d5fc761719 | [
"MIT"
] | null | null | null | The_Garbage_Can_Model_v40.py | Mac13kW/Garbage_Can_Model | d8c79423f5218a8b6b1329f2330e83d5fc761719 | [
"MIT"
] | 5 | 2016-02-05T04:28:22.000Z | 2021-12-17T01:25:52.000Z | print '''
This is a ver 4.0 of the Garbage Can Model (Cohen, March, Olsen, 1972)
This model allows cycling over all scenarios
and 100 iterations and over parameter space.
This would be the final version of the GCM.
-----------------------------
Maciej Workiewicz 2014
'''
import random as rnd
import numpy as np
impor... | 44.337349 | 79 | 0.5125 | print '''
This is a ver 4.0 of the Garbage Can Model (Cohen, March, Olsen, 1972)
This model allows cycling over all scenarios
and 100 iterations and over parameter space.
This would be the final version of the GCM.
-----------------------------
Maciej Workiewicz 2014
'''
import random as rnd
import numpy as np
impor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |