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83d632003dc65364b9c3b47f315c7e542187635d | 1,081 | py | Python | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | null | null | null | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | 1 | 2022-01-24T11:26:47.000Z | 2022-03-18T23:17:58.000Z | cli/polyaxon/polyaxonfile/__init__.py | polyaxon/cli | 3543c0220a8a7c06fc9573cd2a740f8ae4930641 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2022 Polyaxon, Inc.
#
# 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 ... | 32.757576 | 74 | 0.778908 | #!/usr/bin/python
#
# Copyright 2018-2022 Polyaxon, Inc.
#
# 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 ... | 0 | 0 | 0 |
3a251362968be1df9abcf85907aac1648df9d37a | 4,644 | py | Python | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | artist/migrations/0001_initial.py | ssoumyajit/imgapi2 | b2129f1d35d55e093a3d96272686ac25ea2cf7bb | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-07-18 10:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
| 56.634146 | 152 | 0.594961 | # Generated by Django 3.1.7 on 2021-07-18 10:36
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.A... | 0 | 4,433 | 23 |
033229fc63bd18de9e276280cd749fb319dcfabb | 1,587 | py | Python | archive/got.py | SuperSonicHub1/Twitter-RSS | 585739604bec89b8a3e867bc67d2f79abe550e85 | [
"Unlicense"
] | null | null | null | archive/got.py | SuperSonicHub1/Twitter-RSS | 585739604bec89b8a3e867bc67d2f79abe550e85 | [
"Unlicense"
] | null | null | null | archive/got.py | SuperSonicHub1/Twitter-RSS | 585739604bec89b8a3e867bc67d2f79abe550e85 | [
"Unlicense"
] | null | null | null | from rfeed import * # Create RSS feeds
import GetOldTweets3 as got # Scrape for tweets
from functools import lru_cache # Cache feeds
from flask import make_response # Tell Flask that it's being sent XML
@lru_cache(maxsize=None)
| 30.519231 | 105 | 0.57845 | from rfeed import * # Create RSS feeds
import GetOldTweets3 as got # Scrape for tweets
from functools import lru_cache # Cache feeds
from flask import make_response # Tell Flask that it's being sent XML
@lru_cache(maxsize=None)
def twitterToRSS(user):
items = [] # Create place for items to go.
# Create tweet ... | 1,335 | 0 | 22 |
0aa6ca5cc6dffd6848eb3fad981099a2c3c93ae1 | 381 | py | Python | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | authtoken/migrations/0002_auto_20191020_1918.py | mentix02/Scrolls | b2df8b6061027dc9519e90740182a369356d9af9 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.6 on 2019-10-21 02:18
from django.db import migrations, models
| 20.052632 | 52 | 0.593176 | # Generated by Django 2.2.6 on 2019-10-21 02:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authtoken', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='authtoken',
name='valid',
... | 0 | 267 | 23 |
fa241ad9dc644dc2b7a8120eb7212cf85a481968 | 5,812 | py | Python | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | procrastinate/worker.py | marqov/procrastinate | 0d8ccd1af89f44804b155e395c72892d5d7be052 | [
"MIT"
] | null | null | null | import asyncio
import logging
import time
from typing import Iterable, NoReturn, Optional, Set
from procrastinate import app, exceptions, jobs, signals, tasks, types
logger = logging.getLogger(__name__)
| 33.402299 | 86 | 0.580351 | import asyncio
import logging
import time
from typing import Iterable, NoReturn, Optional, Set
from procrastinate import app, exceptions, jobs, signals, tasks, types
logger = logging.getLogger(__name__)
class Worker:
def __init__(
self,
app: app.App,
queues: Optional[Iterable[str]] = Non... | 5,403 | -8 | 211 |
02a64f6a7a2a1a03ae94146ba693f12a38f030a4 | 666 | py | Python | src/ui/timermenu.py | chobocho/timer | 93b184897a3820ae8354f0f36a7d1716d7e71261 | [
"MIT"
] | null | null | null | src/ui/timermenu.py | chobocho/timer | 93b184897a3820ae8354f0f36a7d1716d7e71261 | [
"MIT"
] | null | null | null | src/ui/timermenu.py | chobocho/timer | 93b184897a3820ae8354f0f36a7d1716d7e71261 | [
"MIT"
] | null | null | null | import wx
| 30.272727 | 69 | 0.623123 | import wx
class TimerMenu():
def __init__(self, parent):
self.parent = parent
self._addMenubar()
def _addMenubar(self):
menubar = wx.MenuBar()
fileMenu = wx.Menu()
fileItem = fileMenu.Append(wx.ID_EXIT, 'Quit', 'Quit App')
self.parent.Bind(wx.EVT_MENU, self.pare... | 583 | -3 | 76 |
e2a046744c1d193808431b848191976487b18e52 | 2,539 | py | Python | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 777 | 2021-04-05T07:45:07.000Z | 2022-03-31T20:40:00.000Z | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 119 | 2021-04-05T08:31:18.000Z | 2022-03-31T04:50:25.000Z | sample/tensorflow/utils/dump_model.py | dujiangsu/FasterTransformer | 0648b8839be02eafba1cdba511a41b4fd13e2c9e | [
"Apache-2.0"
] | 135 | 2021-04-05T09:12:42.000Z | 2022-03-31T09:36:58.000Z | # Copyright (c) 2020, NVIDIA CORPORATION. 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 appli... | 48.826923 | 164 | 0.745175 | # Copyright (c) 2020, NVIDIA CORPORATION. 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 appli... | 0 | 0 | 0 |
f1d43560ee9559740ede8d999987b9b115e0f92b | 640 | py | Python | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | shell/DBphoto.py | tomorrow00/TutorWeb | a5b41ab6f6ae2d92e5fd7e6e1290f11c65a8f93c | [
"MIT"
] | null | null | null | # coding=utf8
import MySQLdb
conn = MySQLdb.connect(
host='localhost',
user='root',
passwd='123456',
db='TeacherSchema'
)
cur = conn.cursor()
cur.execute("SELECT COUNT(Teacher_Name) FROM Teacher;")
count = cur.fetchall()
count = count[0][0]
print count
for i in range(count):
try:
sql = "SELECT Teacher_Photo F... | 21.333333 | 107 | 0.679688 | # coding=utf8
import MySQLdb
conn = MySQLdb.connect(
host='localhost',
user='root',
passwd='123456',
db='TeacherSchema'
)
cur = conn.cursor()
cur.execute("SELECT COUNT(Teacher_Name) FROM Teacher;")
count = cur.fetchall()
count = count[0][0]
print count
for i in range(count):
try:
sql = "SELECT Teacher_Photo F... | 0 | 0 | 0 |
1a0096f3d4f2fb673a71b4ab030c43b567b17b2e | 307 | py | Python | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | tools/convert_mp3_to_wav.py | StasYazykov/alien-invasion | 7c49bc446ed9b9576ea041621368573d95871ba8 | [
"MIT"
] | null | null | null | """
Setup FFMPEG before!!!
https://www.ffmpeg.org/download.html#build-windows
"""
from pydub import AudioSegment
names = [
'shot',
'explosion',
'explosion_1'
]
for name in names:
sound = AudioSegment.from_mp3(f"../sound/{name}.mp3")
sound.export(f"../sound/{name}.wav", format="wav")
| 18.058824 | 57 | 0.648208 | """
Setup FFMPEG before!!!
https://www.ffmpeg.org/download.html#build-windows
"""
from pydub import AudioSegment
names = [
'shot',
'explosion',
'explosion_1'
]
for name in names:
sound = AudioSegment.from_mp3(f"../sound/{name}.mp3")
sound.export(f"../sound/{name}.wav", format="wav")
| 0 | 0 | 0 |
22ae72eaf75e41f64668915c1d15c92c926eda75 | 412 | py | Python | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | 1 | 2021-10-20T16:19:15.000Z | 2021-10-20T16:19:15.000Z | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | null | null | null | DegenerateArrow/home/urls.py | Asura0528/Degenerate-arrow | 7f624027dbfd9345ddcf51bcdc2a5e7161e44f2e | [
"MIT"
] | null | null | null | from django.urls import path
from home.views import IndexView, BlogView, DetailView, ToolView, ToolDetailView
urlpatterns = [
path('', IndexView.as_view(), name='index'),
path('blog/', BlogView.as_view(), name='blog'),
path('detail/', DetailView.as_view(), name='detail'),
path('tool/', ToolView.as_view... | 412 | 412 | 0.684466 | from django.urls import path
from home.views import IndexView, BlogView, DetailView, ToolView, ToolDetailView
urlpatterns = [
path('', IndexView.as_view(), name='index'),
path('blog/', BlogView.as_view(), name='blog'),
path('detail/', DetailView.as_view(), name='detail'),
path('tool/', ToolView.as_view... | 0 | 0 | 0 |
74f037f90d6edb2f81051ab3b8942e1ed02b9f66 | 23,029 | py | Python | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 45 | 2016-08-12T21:37:25.000Z | 2022-03-29T00:21:29.000Z | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 20 | 2016-08-11T07:42:28.000Z | 2016-09-09T13:33:47.000Z | reconbf/lib/result.py | fallenpegasus/reconbf | bfd15bef549f011a3de885c3267d4f718223b798 | [
"Apache-2.0"
] | 6 | 2016-08-25T06:31:38.000Z | 2019-09-11T04:29:36.000Z | # Copyright 2016 Hewlett Packard Enterprise Development LP
#
# 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... | 33.472384 | 79 | 0.575058 | # Copyright 2016 Hewlett Packard Enterprise Development LP
#
# 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... | 2,954 | 12,658 | 230 |
73e47859588e3406311a660531152a4ee31a01fc | 1,559 | py | Python | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null | tests/test_dicomexplorer.py | rbrecheisen/barbell2 | 19d8c6aa6ddd1b730bb257fadbeacf2d1ac79fd6 | [
"MIT"
] | null | null | null | import os
import pytest
from barbell2.dicomexplorer.dicomexplorer import DicomExplorer
COHORT_DIR = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC'
COHORT_DCM_FILE = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC/003001_pre_PV_L3.dcm'
COHORT_TAG_F... | 28.87037 | 121 | 0.788326 | import os
import pytest
from barbell2.dicomexplorer.dicomexplorer import DicomExplorer
COHORT_DIR = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC'
COHORT_DCM_FILE = '/Volumes/USB_SECURE1/data/radiomics/projects/deepseg/data/mega/processed/NEWEPOC/003001_pre_PV_L3.dcm'
COHORT_TAG_F... | 810 | 0 | 183 |
f0ba11440a57c43e54a9e22ec22969028fa20fb2 | 11,936 | py | Python | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | 1 | 2020-12-20T19:01:50.000Z | 2020-12-20T19:01:50.000Z | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | 1 | 2021-01-05T09:01:31.000Z | 2021-01-05T09:01:31.000Z | nuitka/codegen/ConstantCodes.py | timgates42/Nuitka | 536f39e37d8657ec750304bb1a93ccb19d1942af | [
"Apache-2.0"
] | null | null | null | # Copyright 2020, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 31.829333 | 86 | 0.654742 | # Copyright 2020, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 2,918 | 0 | 23 |
b5519de4d78c466bb43ac812916905e15580523a | 804 | py | Python | JiraToNotion/models/notion_config.py | jimdrake55x/NotionTools | eb5e712707959aa54d110f63f71343ca801868e7 | [
"MIT"
] | 1 | 2021-02-07T22:00:31.000Z | 2021-02-07T22:00:31.000Z | JiraToNotion/models/notion_config.py | jimdrake55x/NotionTools | eb5e712707959aa54d110f63f71343ca801868e7 | [
"MIT"
] | 5 | 2020-09-24T21:20:12.000Z | 2021-05-27T20:56:33.000Z | JiraToNotion/models/notion_config.py | jimdrake55x/NotionTools | eb5e712707959aa54d110f63f71343ca801868e7 | [
"MIT"
] | null | null | null | from constants.constants import FOLDER_CONFIG_FILE_REPLACE, FILE_NOTION_CONFIG, CONFIG_FOLDER
from config_builder.config_builder import get_file_data
import os
| 38.285714 | 120 | 0.69403 | from constants.constants import FOLDER_CONFIG_FILE_REPLACE, FILE_NOTION_CONFIG, CONFIG_FOLDER
from config_builder.config_builder import get_file_data
import os
class Notion_config():
def __init__(self):
try:
config_path = os.path.split(os.path.dirname(__file__))[0] + CONFIG_FOLDER
... | 592 | 1 | 50 |
11a710eb349bd4e2f77184f27918df7983003cf1 | 12,909 | py | Python | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | 1 | 2018-09-01T14:03:28.000Z | 2018-09-01T14:03:28.000Z | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | null | null | null | Digital-Games/Mud-Online-Game/server/Server.py | wolganens/Computer-Science | a840a1a9656711aaacc873a8a06075ffd322a0d2 | [
"MIT"
] | null | null | null | import socket
import threading
import socketserver
from Player import Player
from Account import Account
from World import World
import re
from copy import deepcopy
global commands
commands = dict({
"room" : "Exibe a sala atual",
"move <n(north), s(south), e(east), w(weast)>" : "Move o personagem para a direção... | 40.340625 | 97 | 0.607173 | import socket
import threading
import socketserver
from Player import Player
from Account import Account
from World import World
import re
from copy import deepcopy
global commands
commands = dict({
"room" : "Exibe a sala atual",
"move <n(north), s(south), e(east), w(weast)>" : "Move o personagem para a direção... | 11,395 | 612 | 68 |
d8669915ac9546e5d8f8a0c550f88c0e0634fe77 | 3,805 | py | Python | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | 1 | 2018-04-20T04:58:50.000Z | 2018-04-20T04:58:50.000Z | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | 7 | 2021-02-08T20:24:49.000Z | 2022-03-11T23:26:33.000Z | wicarproject/utilities/flask_tracking/__init__.py | todhm/wicarproject | 5a3ea7b70ba6649af75d9e9bb49683eb6f94b570 | [
"MIT"
] | null | null | null | import mongoengine
import datetime
import re
import socket
import time
from bson.errors import InvalidStringData
from flask import request
from utilities.flask_tracking import documents
from utilities.flask_tracking.utils import WSGICopyBody
from mongoengine import Document
try:
from flask_login import current_u... | 35.231481 | 134 | 0.607884 | import mongoengine
import datetime
import re
import socket
import time
from bson.errors import InvalidStringData
from flask import request
from utilities.flask_tracking import documents
from utilities.flask_tracking.utils import WSGICopyBody
from mongoengine import Document
try:
from flask_login import current_u... | 3,332 | 2 | 103 |
7d536dcdc033935a32c24f2588b7481cf9d479c9 | 2,456 | py | Python | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | 1 | 2015-11-04T22:22:10.000Z | 2015-11-04T22:22:10.000Z | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | null | null | null | test/TEX/multi-line_include_options.py | azverkan/scons | 704ddb9270e14c7771d0c58c04c7afa7bc009603 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
... | 26.989011 | 73 | 0.738192 | #!/usr/bin/env python
#
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
... | 0 | 0 | 0 |
620be75e82b5a7d7986470b1668de1f914065e28 | 2,600 | py | Python | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | plots/correlation_matrices/plot.py | manuel-rhdt/master-thesis | 51806aabefaa66a06bf895cac248fe3bffb04ba7 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot
from matplotlib.colors import Normalize
from scipy import stats
from scipy.special import logsumexp
from IPython.display import Markdown
import seaborn as sns
lamda = 0.005
kappa = 0.25
rho = 0.01
mu = 0.01
data = []
for n_dim in [10, 80, 640]:
for dt in [1, 8, 64]... | 36.111111 | 162 | 0.625 | import numpy as np
from matplotlib import pyplot
from matplotlib.colors import Normalize
from scipy import stats
from scipy.special import logsumexp
from IPython.display import Markdown
import seaborn as sns
lamda = 0.005
kappa = 0.25
rho = 0.01
mu = 0.01
def sigma_ss(rho, mu, lamda, kappa):
return kappa / lamda
... | 1,458 | 0 | 276 |
8644308e074428da711a9cb73b3d7ee6300609e0 | 32 | py | Python | cards/filtersets/__init__.py | atalaydev/cardify | 594a7421580dd5cdc47d5da0d68c7298189a0422 | [
"MIT"
] | null | null | null | cards/filtersets/__init__.py | atalaydev/cardify | 594a7421580dd5cdc47d5da0d68c7298189a0422 | [
"MIT"
] | null | null | null | cards/filtersets/__init__.py | atalaydev/cardify | 594a7421580dd5cdc47d5da0d68c7298189a0422 | [
"MIT"
] | null | null | null | from .card import CardFilterSet
| 16 | 31 | 0.84375 | from .card import CardFilterSet
| 0 | 0 | 0 |
960c902ece9d890e0669ec62dd52657bef659357 | 9,195 | py | Python | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | 2 | 2019-04-18T21:51:18.000Z | 2019-06-17T11:23:15.000Z | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | null | null | null | py_dev_hammer/github_status_posting.py | declankeyesbevan/py-dev-hammer | 6e5c8a0d35f70a082ec32aa94d01b15dfd8c440b | [
"MIT"
] | null | null | null | """
This carries out dynamic and static code analysis and POSTs the results to GitHub as statuses.
Without passing statuses, a pull request cannot be merged. Dynamic tests require 100% passing to be
considered a success. The static tests are informational only and will always generate success if
they run correctly.
"""... | 38.634454 | 100 | 0.698314 | """
This carries out dynamic and static code analysis and POSTs the results to GitHub as statuses.
Without passing statuses, a pull request cannot be merged. Dynamic tests require 100% passing to be
considered a success. The static tests are informational only and will always generate success if
they run correctly.
"""... | 6,992 | 0 | 230 |
ce6cbf92c0572ce7bcc5fb50fce0e547805db9c4 | 1,647 | py | Python | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | solutions/057_insert_interval.py | abawchen/leetcode | 41d3b172a7694a46a860fbcb0565a3acccd000f2 | [
"MIT"
] | null | null | null | # Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).
# You may assume that the intervals were initially sorted according to their start times.
# Example 1:
# Given intervals [1,3],[6,9], insert and merge [2,5] in as [1,5],[6,9].
# Example 2:
# Given [1,2],[3,5],[... | 36.6 | 106 | 0.603522 | # Given a set of non-overlapping intervals, insert a new interval into the intervals (merge if necessary).
# You may assume that the intervals were initially sorted according to their start times.
# Example 1:
# Given intervals [1,3],[6,9], insert and merge [2,5] in as [1,5],[6,9].
# Example 2:
# Given [1,2],[3,5],[... | 902 | -6 | 49 |
33f5e2f04ac8ce4f293dcba5be9901a24c497140 | 7,963 | py | Python | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | null | null | null | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | 2 | 2020-10-08T22:07:14.000Z | 2020-10-13T00:33:06.000Z | helical_thread/helicalthread.py | winksaville/py-helical-thread | b1f98a6a1af48f7f6d277918c6d0237c8b85241a | [
"MIT"
] | null | null | null | from copy import deepcopy
from dataclasses import dataclass, field
from math import degrees, radians, sin, tan
from typing import List
from taperable_helix import Helix, HelixLocation
@dataclass
class HelicalThread(Helix):
"""
A set of fields used to represent a helical thread and passed as
the parameter... | 36.527523 | 258 | 0.717192 | from copy import deepcopy
from dataclasses import dataclass, field
from math import degrees, radians, sin, tan
from typing import List
from taperable_helix import Helix, HelixLocation
@dataclass
class HelicalThread(Helix):
"""
A set of fields used to represent a helical thread and passed as
the parameter... | 0 | 0 | 0 |
0d7508a75b483f9b126cef6158bc6f3affd3618c | 46 | py | Python | pyqt_transparent_timer/__init__.py | yjg30737/pyqt-transparent-timer | 6919a92517db62832e1048b1d1afc3f1b8449c11 | [
"MIT"
] | null | null | null | pyqt_transparent_timer/__init__.py | yjg30737/pyqt-transparent-timer | 6919a92517db62832e1048b1d1afc3f1b8449c11 | [
"MIT"
] | null | null | null | pyqt_transparent_timer/__init__.py | yjg30737/pyqt-transparent-timer | 6919a92517db62832e1048b1d1afc3f1b8449c11 | [
"MIT"
] | null | null | null | from .transparentTimer import TransparentTimer | 46 | 46 | 0.913043 | from .transparentTimer import TransparentTimer | 0 | 0 | 0 |
b25e69fc38d8825c19795cba3e5542aaaa90721e | 871 | py | Python | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 65 | 2017-05-10T15:26:18.000Z | 2022-03-07T07:10:12.000Z | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 143 | 2017-03-22T22:55:16.000Z | 2020-02-13T15:52:03.000Z | restapi/tests/test_db.py | nataliyah123/phageParser | bc05d76c23d37ee80ffa2bbf6e7e977341bab3ee | [
"MIT"
] | 44 | 2017-03-22T20:47:16.000Z | 2022-03-15T21:45:12.000Z | import pytest
# Create your tests here.
from restapi.models import Organism, Repeat
@pytest.fixture
@pytest.mark.django_db
def test_model_can_create_an_organism(organism):
"""Test the organism model can create an Organism."""
old_count = Organism.objects.count()
organism.save()
new_count = Organism... | 24.194444 | 67 | 0.732491 | import pytest
# Create your tests here.
from restapi.models import Organism, Repeat
@pytest.fixture
def organism():
organism_name = "Organism Name"
accession_number = "NC_000000"
return Organism(name=organism_name, accession=accession_number)
@pytest.mark.django_db
def test_model_can_create_an_organism... | 185 | 0 | 44 |
36ad03578fbd4cf456a34a1ca1fb206bbfdf9321 | 3,596 | py | Python | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null | training/threshold_launch_all.py | waliens/weakseg | dbd02d2729ae998d89bce0e5585a8144351f1feb | [
"MIT"
] | null | null | null | import logging
import os
from clustertools import set_stdout_logging, ParameterSet, Experiment
from clustertools.storage import PickleStorage
from generic_threshold import TuneThresholdComputation
from train_monuseg_selftrain_clustertools import env_parser
if __name__ == "__main__":
import sys
main(sys.... | 35.254902 | 138 | 0.587875 | import logging
import os
from clustertools import set_stdout_logging, ParameterSet, Experiment
from clustertools.storage import PickleStorage
from generic_threshold import TuneThresholdComputation
from train_monuseg_selftrain_clustertools import env_parser
def launch(exp_name, comp_indexes, **env_params):
thres... | 3,197 | 0 | 69 |
4054b214b773978158a4a48d39cba98653492a8f | 376 | py | Python | ytdl_gui/window.py | Aakodal/ytdl-python | fa40b7722fb51c8cad17d690b83b0f08f36c203a | [
"MIT"
] | null | null | null | ytdl_gui/window.py | Aakodal/ytdl-python | fa40b7722fb51c8cad17d690b83b0f08f36c203a | [
"MIT"
] | null | null | null | ytdl_gui/window.py | Aakodal/ytdl-python | fa40b7722fb51c8cad17d690b83b0f08f36c203a | [
"MIT"
] | null | null | null | import sys
from PyQt5.QtCore import QUrl
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtWidgets import QApplication
from ytdl_gui import host, port
| 22.117647 | 51 | 0.726064 | import sys
from PyQt5.QtCore import QUrl
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtWidgets import QApplication
from ytdl_gui import host, port
def show():
qtapp = QApplication(sys.argv)
web = QWebEngineView()
web.load(QUrl(f"http://{host}:{port}"))
web.setWindowTitle("YouTube D... | 186 | 0 | 23 |
a75a263ae3275978f244dc8bac27acb2d3601033 | 2,840 | py | Python | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | bb.py | xufuzhi/crnn_pytorch | 0e07d1269339101f147a0d83bb41a006cd0406d9 | [
"MIT"
] | null | null | null | import lmdb
import numpy as np
import cv2 as cv
from itertools import islice
import time
import os
from os.path import sep as path_sep
from os.path import join as path_join
import torch
import torch.nn as nn
import torchvision
path = '/home/xfz/Projects/PycharmProjects/TextRecognitionDataGenerator-master/trdg/out'
... | 24.912281 | 104 | 0.554225 | import lmdb
import numpy as np
import cv2 as cv
from itertools import islice
import time
import os
from os.path import sep as path_sep
from os.path import join as path_join
import torch
import torch.nn as nn
import torchvision
path = '/home/xfz/Projects/PycharmProjects/TextRecognitionDataGenerator-master/trdg/out'
... | 129 | 119 | 23 |
871bd408f6825032da50b04b58cfe9556b0affbf | 5,657 | py | Python | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | tasks.py | kkuuba/RemoteDownloadApp | 3309413cc103dbdb8846bc04d956f25417aae65e | [
"MIT"
] | null | null | null | import youtube_dl
import datetime
import threading
import requests
import re
import time
import os
threads = [] # all threads list
tasks_list = [] # all tasks list
def start_received_request_action(data):
"""
Main function which extract task type and start proper action. Then return response.
:param d... | 33.473373 | 112 | 0.586707 | import youtube_dl
import datetime
import threading
import requests
import re
import time
import os
threads = [] # all threads list
tasks_list = [] # all tasks list
def start_received_request_action(data):
"""
Main function which extract task type and start proper action. Then return response.
:param d... | 224 | 4,031 | 23 |
0afd0f3258f5d2d8989f155e6e423b8f0d31ea32 | 1,478 | py | Python | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | python/hongong/ch07/07_1.py | gangserver/py_test | 869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4 | [
"Apache-2.0"
] | null | null | null | from tensorflow import keras
import matplotlib.pyplot as plt
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import cross_validate
import numpy as np
from sklearn.model_selection import train_test_split
(train_input, train_target), (test_input, test_target) =\
keras.datasets.fashion_mn... | 30.163265 | 80 | 0.780108 | from tensorflow import keras
import matplotlib.pyplot as plt
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import cross_validate
import numpy as np
from sklearn.model_selection import train_test_split
(train_input, train_target), (test_input, test_target) =\
keras.datasets.fashion_mn... | 0 | 0 | 0 |
548170a7d45c113e659cf9fe16bf4c6b87ab63f6 | 29,271 | py | Python | ptah/form/tests/test_fields.py | timgates42/ptah | 47594cef8e80397a545bdc9e166eafcac94c72d6 | [
"BSD-3-Clause"
] | 13 | 2015-03-18T16:06:50.000Z | 2021-04-27T19:14:35.000Z | ptah/form/tests/test_fields.py | timgates42/ptah | 47594cef8e80397a545bdc9e166eafcac94c72d6 | [
"BSD-3-Clause"
] | null | null | null | ptah/form/tests/test_fields.py | timgates42/ptah | 47594cef8e80397a545bdc9e166eafcac94c72d6 | [
"BSD-3-Clause"
] | 6 | 2015-01-07T11:17:32.000Z | 2020-04-02T11:35:03.000Z | from unittest import mock
import decimal
from webob.multidict import MultiDict
from pyramid.compat import text_type, NativeIO
import ptah.form
from ptah.form import iso8601
from ptah.testing import strip, BaseTestCase
| 31.644324 | 151 | 0.55379 | from unittest import mock
import decimal
from webob.multidict import MultiDict
from pyramid.compat import text_type, NativeIO
import ptah.form
from ptah.form import iso8601
from ptah.testing import strip, BaseTestCase
def invalid_exc(func, *arg, **kw):
from ptah.form import Invalid
try:
func(*arg, *... | 25,926 | 2,741 | 368 |
9819c7b7eb6bafe32bbed7d5ce5ac16f938ab47b | 3,731 | py | Python | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | src/plasmid_verification/infrastructure/service/error_probability_sample_trimming_service.py | Midnighter/plasmid_verification | 844b38047b1bf19fa9903299a1e6470583b9c3d5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021, Moritz E. Beber.
#
# 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 i... | 34.869159 | 87 | 0.629322 | # Copyright (c) 2021, Moritz E. Beber.
#
# 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 i... | 411 | 0 | 26 |
a8e2f087a78a168da5dd007f37155dde5ccd18b0 | 190 | py | Python | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | 1 | 2022-02-14T02:58:02.000Z | 2022-02-14T02:58:02.000Z | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | null | null | null | other/cap_huaxia_fund.py | thedestiny/fund_python | 20f55a6b40e70cf9217c9406375653d8aea093d1 | [
"Apache-2.0"
] | null | null | null | import requests
req_url = "https://www.chinaamc.com/indexfundvalue.js"
response = requests.get(req_url)
print(response.apparent_encoding)
response.encoding = "UTF-8"
print(response.text) | 19 | 54 | 0.784211 | import requests
req_url = "https://www.chinaamc.com/indexfundvalue.js"
response = requests.get(req_url)
print(response.apparent_encoding)
response.encoding = "UTF-8"
print(response.text) | 0 | 0 | 0 |
3598ca72244cf9a4dc7bdfd6299f529aa2bb2a1e | 7,291 | py | Python | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | alsaloop.py | loichu/alsaloop | dfeca261e2723f594309ea3e585f93eb34cd28b6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
Copyright (c) 2020 Modul 9/HiFiBerry
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, me... | 35.740196 | 117 | 0.656289 | #!/usr/bin/env python
'''
Copyright (c) 2020 Modul 9/HiFiBerry
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, me... | 826 | 0 | 69 |
a2472b8255a2d5c90e168c0d65b74bc731052a7c | 4,485 | py | Python | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | transaction-processor/handler/car.py | mayankmk14/Manufacturing | 2b8893210e2443ea04afa2f696f6ffbaf0f2a568 | [
"MIT"
] | null | null | null | import logging
import hashlib
import assets_pb2 as assets
from sawtooth_sdk.processor.exceptions import InvalidTransaction
import handler.addressing as Addressing
import handler.utils as utils
LOGGER = logging.getLogger(__name__) | 44.405941 | 147 | 0.759866 | import logging
import hashlib
import assets_pb2 as assets
from sawtooth_sdk.processor.exceptions import InvalidTransaction
import handler.addressing as Addressing
import handler.utils as utils
LOGGER = logging.getLogger(__name__)
def create_car(payloadobj,signer,context,txId):
formDetails = payloadobj.car
LO... | 4,232 | 0 | 22 |
6f2fae3b336ae14b5b9a45e248451090f7ad2b91 | 1,825 | py | Python | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 2 | 2020-09-24T09:15:31.000Z | 2020-09-28T16:16:30.000Z | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 3 | 2020-09-24T13:46:24.000Z | 2020-10-01T09:54:17.000Z | archived/misc/post-processor/archive/lh.py | XiaoxiongXie/WRF-SUEWS | 51f8d2359b394016e65121f3baab908b1ad4d89c | [
"MIT"
] | 2 | 2020-10-01T09:46:58.000Z | 2022-01-09T10:38:21.000Z | #!/usr/bin/env python
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import cartopy.crs as crs
from cartopy.feature import NaturalEarthFeature
from wrf import ALL_TIMES, to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords
# Open the NetCDF fi... | 30.932203 | 106 | 0.737534 | #!/usr/bin/env python
from netCDF4 import Dataset
import matplotlib.pyplot as plt
from matplotlib.cm import get_cmap
import cartopy.crs as crs
from cartopy.feature import NaturalEarthFeature
from wrf import ALL_TIMES, to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords
# Open the NetCDF fi... | 0 | 0 | 0 |
f5b2002d2d535781d43dc4470ba6797e234296b6 | 5,565 | py | Python | bytetrack_cpp_node/launch/bytetrack_openvino.launch.py | fateshelled/bytetrack_ros | 24d9fc600904201ea710e93c9ab860d475a548ee | [
"MIT"
] | 1 | 2021-12-31T01:36:33.000Z | 2021-12-31T01:36:33.000Z | bytetrack_cpp_node/launch/bytetrack_openvino.launch.py | fateshelled/bytetrack_ros | 24d9fc600904201ea710e93c9ab860d475a548ee | [
"MIT"
] | null | null | null | bytetrack_cpp_node/launch/bytetrack_openvino.launch.py | fateshelled/bytetrack_ros | 24d9fc600904201ea710e93c9ab860d475a548ee | [
"MIT"
] | null | null | null | import os
import sys
import launch
import launch_ros.actions
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import ComposableNodeContainer
from launch_ros.descriptions import ComposableNode
| 39.190141 | 101 | 0.483917 | import os
import sys
import launch
import launch_ros.actions
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import ComposableNodeContainer
from launch_ros.descriptions import ComposableNode
def generate_launch_description():
launch_args... | 5,273 | 0 | 23 |
6dbd2946d5141f0060344f537b12a753d0d1316c | 9,055 | py | Python | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null | app.py | Aarrtteemm123/Shopping-list | 38b2143df69408d7502e8d588c5a479f295a7d9c | [
"MIT"
] | null | null | null | from kivy.storage.jsonstore import JsonStore
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.screenmanager import Screen
from kivymd.app import MDApp
from kivy.lang import Builder
from kivymd.uix.button import MDFlatButton, MDFloatingActionButton
from kivymd.uix.dialo... | 40.424107 | 113 | 0.622529 | from kivy.storage.jsonstore import JsonStore
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.screenmanager import Screen
from kivymd.app import MDApp
from kivy.lang import Builder
from kivymd.uix.button import MDFlatButton, MDFloatingActionButton
from kivymd.uix.dialo... | 7,885 | 78 | 597 |
45c8c3839ce9fa0eb07689fae3e47641138f8273 | 3,976 | py | Python | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | client.py | chvia223/python-networking | 5016bac16be534cb99557414c46bd24e17bd44cc | [
"MIT"
] | null | null | null | from multiprocessing.sharedctypes import Value
import socket
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
# SERVER = socket.gethostbyname(socket.gethostname())
SERVER = "192.168.0.155"
ADDR = (SERVER, PORT)
"""
Calls... | 32.064516 | 120 | 0.584759 | from multiprocessing.sharedctypes import Value
import socket
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
HEADER = 64
PORT = 5050
FORMAT = 'utf-8'
DISCONNECT_MESSAGE = "!DISCONNECT"
# SERVER = socket.gethostbyname(socket.gethostname())
SERVER = "192.168.0.155"
ADDR = (SERVER, PORT)
def init_cl... | 3,226 | 0 | 117 |
2b659a95e79523dc6dbc454ebe70ac949c0e88ad | 178 | py | Python | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 6 | 2020-05-23T19:53:25.000Z | 2021-05-08T20:21:30.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 8 | 2020-05-14T18:53:12.000Z | 2020-07-03T00:06:20.000Z | Ekeopara_Praise/Phase 2/LIST/Day43 Tasks/Task4.py | CodedLadiesInnovateTech/-python-challenge-solutions | 430cd3eb84a2905a286819eef384ee484d8eb9e7 | [
"MIT"
] | 39 | 2020-05-10T20:55:02.000Z | 2020-09-12T17:40:59.000Z | '''4. Write a Python program to generate groups of five consecutive numbers in a list. '''
l = [[5*i + j for j in range(1,6)] for i in range(5)]
print(l)
#Reference: w3resource | 29.666667 | 90 | 0.679775 | '''4. Write a Python program to generate groups of five consecutive numbers in a list. '''
l = [[5*i + j for j in range(1,6)] for i in range(5)]
print(l)
#Reference: w3resource | 0 | 0 | 0 |
4f54f2ccd5f215b846830ebda095fb62b67d6fdf | 12,147 | py | Python | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 3 | 2018-01-24T20:10:47.000Z | 2020-01-06T23:27:14.000Z | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 1 | 2018-01-12T05:24:13.000Z | 2018-01-12T05:47:11.000Z | kursl/mcmc.py | laszukdawid/KurSL | 2d7427a71d01f1599c2626da2359f9e495fa4d7e | [
"Apache-2.0"
] | 1 | 2020-01-06T23:27:17.000Z | 2020-01-06T23:27:17.000Z | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: laszukdawid@gmail.com
#
# Feel free to contact for any information.
from __future__ import division, print_function
import emcee
import logging
import numpy as np
import time, datetime
from .kursl_model import KurSL
from .model import ModelWrapper
... | 32.392 | 103 | 0.56162 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: laszukdawid@gmail.com
#
# Feel free to contact for any information.
from __future__ import division, print_function
import emcee
import logging
import numpy as np
import time, datetime
from .kursl_model import KurSL
from .model import ModelWrapper
... | 1,008 | 8,786 | 23 |
8041258dfbf3834cf80dcf7d8b33d6f06534a88f | 2,941 | py | Python | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | gpu_bestbuy.py | elithaxxor/gpu_scraper | 065f33facadaf0bce9e6b5a4b95d1895b340058f | [
"MIT"
] | null | null | null | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import info
# make sure this path is correct
PATH = "C:\Program Files (x86)\ChromeDriver\chromedriver.exe"
driver = webdr... | 34.6 | 173 | 0.66202 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import info
# make sure this path is correct
PATH = "C:\Program Files (x86)\ChromeDriver\chromedriver.exe"
driver = webdr... | 0 | 0 | 0 |
ac0785eb6e8f573fd60308c40a0160d7225b62f0 | 15,306 | py | Python | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | null | null | null | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | null | null | null | aws-network-firewall/operations.py | cs-shivaji-kolape/connector-aws-network-firewall | dea59e7bb3c434cf7b3c83764b0a3929071510c9 | [
"MIT"
] | 1 | 2021-12-17T08:28:33.000Z | 2021-12-17T08:28:33.000Z | """ Copyright start
Copyright (C) 2008 - 2021 Fortinet Inc.
All rights reserved.
FORTINET CONFIDENTIAL & FORTINET PROPRIETARY SOURCE CODE
Copyright end """
import boto3, requests, json
from connectors.core.connector import get_logger, ConnectorError
logger = get_logger('aws-network-firewall')
TEMP_CRED_ENDPO... | 36.705036 | 117 | 0.650725 | """ Copyright start
Copyright (C) 2008 - 2021 Fortinet Inc.
All rights reserved.
FORTINET CONFIDENTIAL & FORTINET PROPRIETARY SOURCE CODE
Copyright end """
import boto3, requests, json
from connectors.core.connector import get_logger, ConnectorError
logger = get_logger('aws-network-firewall')
TEMP_CRED_ENDPO... | 13,115 | 12 | 709 |
d63e4a467d3bca00f188583137b8940e30776ece | 665 | py | Python | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | hackerrank/13. regex and parsing/15.py | Eurydia/Xian-assignment | 4a7e4bcd3d4999ea7429054fec1792064c96ff30 | [
"MIT"
] | null | null | null | # Enter your code here. Read input from STDIN. Print output to STDOUTseen = ''
from string import ascii_uppercase, digits
import re
for _ in range(1, int(input())+1):
uid = str(input())
seen = ''
valid = True
if len(uid) == 10:
for char in uid:
if char not in seen and char.isaln... | 26.6 | 87 | 0.503759 | # Enter your code here. Read input from STDIN. Print output to STDOUTseen = ''
from string import ascii_uppercase, digits
import re
for _ in range(1, int(input())+1):
uid = str(input())
seen = ''
valid = True
if len(uid) == 10:
for char in uid:
if char not in seen and char.isaln... | 0 | 0 | 0 |
17b7f7b54d65da3b60ca22904903fde7bce6a3ea | 9,286 | py | Python | django_bitcoin/tasks.py | texib/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | 1 | 2018-03-24T14:42:06.000Z | 2018-03-24T14:42:06.000Z | django_bitcoin/tasks.py | kenttw/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | 1 | 2015-04-21T03:47:07.000Z | 2015-04-21T03:47:12.000Z | django_bitcoin/tasks.py | texib/bitcoin-zoo | 69dc3443a5132ef02f340676a985e4ad9a244eed | [
"MIT"
] | null | null | null | from __future__ import with_statement
import datetime
import random
import hashlib
import base64
from decimal import Decimal
from django.db import models
from django_bitcoin.utils import bitcoind
from django_bitcoin import settings , models
from django.utils.translation import ugettext as _
from django_bitcoin.models... | 46.89899 | 123 | 0.689856 | from __future__ import with_statement
import datetime
import random
import hashlib
import base64
from decimal import Decimal
from django.db import models
from django_bitcoin.utils import bitcoind
from django_bitcoin import settings , models
from django.utils.translation import ugettext as _
from django_bitcoin.models... | 8,372 | 0 | 89 |
4bc7429b295385802f8890a45eedec78c502bd33 | 740 | py | Python | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null | test/test_add_contact_to_group.py | Sashatq/python_training | 9e403db6e3bf5e17b8ce0d4d3d9887841720913c | [
"Apache-2.0"
] | null | null | null | from model.contact import Contact
from model.group import Group
#Главная
#Выбираем контакт
#Выбираем группу
#Нажимаем добавить
#Нажимаем перейти в группу
#Получаем ид группы
#-
#Записываем из базы не пустую группу с нашим айдишником
#Сравниваем | 20.555556 | 106 | 0.762162 | from model.contact import Contact
from model.group import Group
def test_add_contact_to_group(app, db):
if len(db.get_contact_list()) == 0:
app.contact.create.contact(Contact(name='for_group', lname="for_group"))
app.group.create(Group(name="add_contact_here", header="add_contact_here", footer="add_co... | 457 | 0 | 23 |
e3bee1e25aac8e950866c1724dc7a706a061beb3 | 4,596 | py | Python | polling_stations/apps/councils/management/commands/import_councils.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/councils/management/commands/import_councils.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | polling_stations/apps/councils/management/commands/import_councils.py | chris48s/UK-Polling-Stations | 4742b527dae94f0276d35c80460837be743b7d17 | [
"BSD-3-Clause"
] | null | null | null | import html
import json
import requests
from django.apps import apps
from django.contrib.gis.geos import GEOSGeometry, MultiPolygon, Polygon
from django.conf import settings
from django.core.management.base import BaseCommand
from councils.models import Council
class Command(BaseCommand):
"""
Turn off auto sy... | 35.353846 | 108 | 0.606179 | import html
import json
import requests
from django.apps import apps
from django.contrib.gis.geos import GEOSGeometry, MultiPolygon, Polygon
from django.conf import settings
from django.core.management.base import BaseCommand
from councils.models import Council
class Command(BaseCommand):
"""
Turn off auto sy... | 2,404 | 0 | 189 |
800fd32b0652a937b970d237c4fe071f077120c7 | 363 | py | Python | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | 1 | 2021-08-08T16:30:34.000Z | 2021-08-08T16:30:34.000Z | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | null | null | null | resume.py | BananaLoaf/pix2pix-tf2-keras | 8925941e8e5cd52563255e8e2cc58f03f7cc5cde | [
"MIT"
] | 2 | 2020-03-24T14:31:42.000Z | 2020-11-16T22:36:07.000Z | from pathlib import Path
from tools.config import Config, ResumeConfig
from tools.runner import CustomRunner
if __name__ == '__main__':
resume_config = ResumeConfig.cli("Pix2Pix Tensorflow 2 Keras implementation")
config = Config.load(Path(resume_config.path).joinpath("config.json"))
CustomRunner.resume(c... | 36.3 | 81 | 0.790634 | from pathlib import Path
from tools.config import Config, ResumeConfig
from tools.runner import CustomRunner
if __name__ == '__main__':
resume_config = ResumeConfig.cli("Pix2Pix Tensorflow 2 Keras implementation")
config = Config.load(Path(resume_config.path).joinpath("config.json"))
CustomRunner.resume(c... | 0 | 0 | 0 |
6acb5d7172f11394af5532fc042454602331eba6 | 12,274 | py | Python | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | synthesize.py | tranmanhdat/FastSpeech2 | bc5e28e1463de2ba167ae9a2cf32e2d8aa366e02 | [
"MIT"
] | null | null | null | import re
import argparse
from string import punctuation
from scipy.io import wavfile
import torch
import yaml
import numpy as np
from torch.utils.data import DataLoader
from g2p_en import G2p
from pypinyin import pinyin, Style
from utils.model import get_model, get_vocoder
from utils.tools import to_dev... | 35.576812 | 98 | 0.559801 | import re
import argparse
from string import punctuation
from scipy.io import wavfile
import torch
import yaml
import numpy as np
from torch.utils.data import DataLoader
from g2p_en import G2p
from pypinyin import pinyin, Style
from utils.model import get_model, get_vocoder
from utils.tools import to_dev... | 6,008 | 0 | 148 |
ef0c02fedf75e263733415cb1b6dfb1fda046eee | 482 | py | Python | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | examples/honeypot/topo.py | Dobrrk/minicps | 955b0255b2ac79b11f501645b847169848e314d6 | [
"MIT"
] | null | null | null | """
swat-s1 topology
"""
from mininet.topo import Topo as TopoBase
from pinger import Pinger
from plc2 import Plc2
from plc1 import Plc1
| 18.538462 | 42 | 0.572614 | """
swat-s1 topology
"""
from mininet.topo import Topo as TopoBase
from pinger import Pinger
from plc2 import Plc2
from plc1 import Plc1
class Topo(TopoBase):
NETMASK = '/24'
NODES = [Plc1, Plc2, Pinger]
def build(self):
switch = self.addSwitch('s1')
for node in Topo.NODES:
... | 239 | 80 | 23 |
b81d6821a26835f297c3903bcbc442d359c7cbe5 | 2,396 | py | Python | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | null | null | null | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | null | null | null | DesignPresentation/Amdhal.py | bjlemaire/DEM | b413304fd4d3368af73aff9743d1da9d7deb129e | [
"MIT"
] | 1 | 2019-08-07T17:35:26.000Z | 2019-08-07T17:35:26.000Z | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True)
c =0.9996
f = lambda p: 1/((1-c)+(c/p))
p_list = np.arange(1,1024)
N=100
tsm = 18.4e-9
tnode = 65e-9
tproc = 0.08e-9
toff = 27e-3
T = N*N/6
dt = 0.24
... | 39.933333 | 155 | 0.632304 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib import rc
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True)
c =0.9996
f = lambda p: 1/((1-c)+(c/p))
p_list = np.arange(1,1024)
N=100
tsm = 18.4e-9
tnode = 65e-9
tproc = 0.08e-9
toff = 27e-3
T = N*N/6
dt = 0.24
... | 278 | 0 | 46 |
d2c48659fa5d2855283695eacbcaa778092ba8f8 | 981 | py | Python | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | 2 | 2021-04-30T13:10:50.000Z | 2021-12-14T10:55:36.000Z | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | null | null | null | src/example/python/read-single-psicquic-python3.py | PSICQUIC/psicquic-solr-ws | 9bfe2665fe1071e524548136c66bc1f5c7df2b05 | [
"CC-BY-4.0"
] | 1 | 2018-10-23T11:22:24.000Z | 2018-10-23T11:22:24.000Z | from urllib.request import urlopen
# ------------------ MITAB FUNCTIONS ------------------
# -----------------------------------------------------
# Note that we are only going to get 10 interactions at most
queryUrl = "http://www.ebi.ac.uk/Tools/webservices/psicquic/intact/webservices/current/search/query/BBC1?first... | 26.513514 | 134 | 0.598369 | from urllib.request import urlopen
# ------------------ MITAB FUNCTIONS ------------------
def getXrefByDatabase(line, database):
fields = line.split('|')
for field in fields:
parts = field.split(':')
db = parts[0]
value = parts[1].split('(')[0]
if database == db:
retur... | 213 | 0 | 23 |
81bd654649daec8245593e95ab09d02d5ede25fb | 2,240 | py | Python | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | models/PasswordToken.py | PunitTailor55/RootTheBox | 9662a1dc5830a03326257fced058fd7384685cff | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sep 6, 2020
@author: eljeffe
Copyright 2020 Root the Box
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/licen... | 32 | 88 | 0.688839 | # -*- coding: utf-8 -*-
"""
Created on Sep 6, 2020
@author: eljeffe
Copyright 2020 Root the Box
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/licen... | 0 | 0 | 0 |
1d65e18706f1c8de8606f5b1c87e5a658cb46b71 | 872 | py | Python | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | exercises/matrix-no-numpy/0480-matrix-no-numpy-mul2.py | mahaamesha/fi3201-01-2021-2 | 80c8fd74ae99c19c5421987c15f6a50985c3b69d | [
"MIT"
] | null | null | null | # 0480-matrix-no-numpy-mul2.py
# Multiply a matrix with a matrix
# 20220216 Create this example.
import matrix as mat
# multiply a matrix with a matrix
# define a list as two-dimension matrix
m1 = [
[1, 1, 1],
[1, 2, 1],
]
m2 = [
[1, 1],
[1, 2],
[1, 1],
]
m3 = mulmat2(m1, m2)
# display ... | 18.956522 | 53 | 0.540138 | # 0480-matrix-no-numpy-mul2.py
# Multiply a matrix with a matrix
# 20220216 Create this example.
import matrix as mat
# multiply a matrix with a matrix
def mulmat2(m1, m2):
# assume column of 1st and row of 2nd are matched
row = len(m1) # m1 (row x mid)
mid = len(m1[0]) # m2 (mid x col)
col =... | 432 | 0 | 22 |
c32bc0aa73f4cc496b7277089923a9e0bfb3eaaf | 3,122 | py | Python | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | cluster/run.py | jfunston/chogori-platform | e329e892411eeb2142c8d4b603944244d3c559d4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
'''
MIT License
Copyright (c) 2020 Futurewei Cloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, cop... | 44.6 | 119 | 0.71909 | #!/usr/bin/env python3
'''
MIT License
Copyright (c) 2020 Futurewei Cloud
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, cop... | 0 | 0 | 0 |
cd988cca68d439b9a17f793b879fa7a77f20d02a | 544 | py | Python | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | toy-evolve/advection_sine_minmod_lf_rk2.py | IanHawke/toy-evolve | a1490327dd19492e2c0bb0d9c6909abe8b167135 | [
"MIT"
] | null | null | null | # Advection test evolution
from models import advection
from bcs import periodic
from simulation import simulation
from methods import minmod_lf
from rk import rk2
from grid import grid
Npoints = 20
Ngz = 2
interval = grid([-0.5, 0.5], Npoints, Ngz)
model = advection.advection(v=1,
initia... | 28.631579 | 76 | 0.694853 | # Advection test evolution
from models import advection
from bcs import periodic
from simulation import simulation
from methods import minmod_lf
from rk import rk2
from grid import grid
Npoints = 20
Ngz = 2
interval = grid([-0.5, 0.5], Npoints, Ngz)
model = advection.advection(v=1,
initia... | 0 | 0 | 0 |
ebf355dc451b7f254a5306471df7eb03b476bbc6 | 651 | py | Python | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | 7 | 2017-10-19T13:59:24.000Z | 2019-11-26T03:40:08.000Z | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | null | null | null | math_ops_linear algebra/tf_tensordot.py | Asurada2015/TFAPI_translation | 1c8d9432b0b8a21c2bb5670b25456d095d0a1ecf | [
"Apache-2.0"
] | 5 | 2018-08-22T02:57:03.000Z | 2020-03-05T07:14:21.000Z | import tensorflow as tf
"""tf.tensordot(a, b, axes, name=None)
功能：同numpy.tensordot，根据axis计算点乘。
输入：axes=1或axes=[[1],[0]]，即为矩阵乘。"""
a = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
b = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
z = tf.tensordot(a, b, axes=[[1], [1]]) # 第一个矩阵的行乘上第二个矩阵的行
z1 ... | 28.304348 | 62 | 0.55914 | import tensorflow as tf
"""tf.tensordot(a, b, axes, name=None)
功能：同numpy.tensordot，根据axis计算点乘。
输入：axes=1或axes=[[1],[0]]，即为矩阵乘。"""
a = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
b = tf.constant([1, 2, 3, 4], shape=[2, 2], dtype=tf.float64)
z = tf.tensordot(a, b, axes=[[1], [1]]) # 第一个矩阵的行乘上第二个矩阵的行
z1 ... | 0 | 0 | 0 |
6c7b9112f8212a010bb2403a1e9434ff9122c009 | 653 | py | Python | delpy/errors.py | discordextremelist/del.py | cfb274c7341f297219225911ffbe82e06b668d83 | [
"MIT"
] | 2 | 2020-06-29T22:24:11.000Z | 2021-01-19T19:35:15.000Z | delpy/errors.py | discordextremelist/del.py | cfb274c7341f297219225911ffbe82e06b668d83 | [
"MIT"
] | 5 | 2020-07-01T13:03:37.000Z | 2021-10-03T21:34:14.000Z | delpy/errors.py | discordextremelist/del.py | cfb274c7341f297219225911ffbe82e06b668d83 | [
"MIT"
] | 3 | 2020-05-23T03:37:23.000Z | 2021-01-20T04:54:51.000Z | class DELpy(Exception):
"""
Raise this so people could easily catch the exception
"""
pass
| 29.681818 | 64 | 0.588055 | class DELpy(Exception):
"""
Raise this so people could easily catch the exception
"""
pass
class HTTPException(DELpy):
def __init__(self, *args, **kwargs):
self.raised_error = kwargs.get('raised_error', None)
if isinstance(self.raised_error, dict):
self.status ... | 443 | 21 | 77 |
af04ccd5613fc991ffd9f0612b1286cb60a1fb67 | 4,853 | py | Python | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | examples/follow_suit/feature_extractor/edl_gen/generate_predictions.py | DanCunnington/FFNSL | fb81da074e95210b75869265d10b645ffde88549 | [
"MIT"
] | null | null | null | import tensorflow as tf
import sys
import numpy as np
import json
import torch
import pandas as pd
from tensorflow.saved_model import tag_constants
from os.path import dirname, realpath
# Add root directory to path
file_path = realpath(__file__)
file_dir = dirname(file_path)
parent_dir = dirname(file_dir)
sys.path.app... | 42.570175 | 114 | 0.59489 | import tensorflow as tf
import sys
import numpy as np
import json
import torch
import pandas as pd
from tensorflow.saved_model import tag_constants
from os.path import dirname, realpath
# Add root directory to path
file_path = realpath(__file__)
file_dir = dirname(file_path)
parent_dir = dirname(file_dir)
sys.path.app... | 286 | 13 | 49 |
e300fd872179c96d2e6a5a81b24d1e6c14c183a9 | 2,227 | py | Python | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 175 | 2015-01-19T10:09:57.000Z | 2022-03-31T18:23:03.000Z | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 31 | 2015-01-19T10:40:20.000Z | 2017-11-02T17:40:45.000Z | plugins/maintenance/metadata.py | graphite-project/ceres | 0804b6e15857aec461aec76b365bd94c40e30fae | [
"Apache-2.0"
] | 49 | 2015-01-06T05:46:51.000Z | 2021-05-13T03:12:06.000Z | from itertools import izip
try:
from carbon.storage import loadStorageSchemas, loadAggregationSchemas
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
except ImportError:
SCHEMAS = []
AGGREGATION_SCHEMAS = []
# Update metadata to match carbon schemas.
| 28.551282 | 92 | 0.709026 | from itertools import izip
try:
from carbon.storage import loadStorageSchemas, loadAggregationSchemas
SCHEMAS = loadStorageSchemas()
AGGREGATION_SCHEMAS = loadAggregationSchemas()
except ImportError:
SCHEMAS = []
AGGREGATION_SCHEMAS = []
def determine_metadata(metric):
metadata = dict(timeStep=None, rete... | 1,887 | 0 | 45 |
03de755a2c06e11ce58ae1a848e106a95f38b6bd | 932 | py | Python | tests/unit/test_filter.py | hugoledoux/pointcloudset | 075ddc3f840cc6c2e2505452c1eb9f2e4fce5e99 | [
"MIT"
] | 23 | 2021-06-14T10:11:27.000Z | 2022-03-07T13:44:36.000Z | tests/unit/test_filter.py | hugoledoux/pointcloudset | 075ddc3f840cc6c2e2505452c1eb9f2e4fce5e99 | [
"MIT"
] | 23 | 2021-06-14T05:45:23.000Z | 2022-03-31T08:24:04.000Z | tests/unit/test_filter.py | hugoledoux/pointcloudset | 075ddc3f840cc6c2e2505452c1eb9f2e4fce5e99 | [
"MIT"
] | 3 | 2021-07-07T06:58:34.000Z | 2021-09-28T11:52:07.000Z | import numpy as np
import pytest
import pytest_check as check
from pointcloudset import PointCloud
from pointcloudset.config import OPS
@pytest.mark.parametrize("op", ["<", ">=", "<="])
| 31.066667 | 74 | 0.729614 | import numpy as np
import pytest
import pytest_check as check
from pointcloudset import PointCloud
from pointcloudset.config import OPS
def test_wrong_filter(testpointcloud_mini_real: PointCloud):
with pytest.raises(ValueError):
testpointcloud_mini_real.filter("not available")
def test_qf1(testpointclo... | 649 | 0 | 91 |
f07666f43ab5eca82f395e078a80a4df700d2441 | 1,101 | py | Python | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null | tngs_results/models.py | rdemolgen/NGS-LIMS | 9f10d264897c8b3da32520cd57bc47a592aa6131 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
#class Al_batch_output(models.Models):
#class Coverage_by_base(models.Model):
# patient = models.ForeignKey(Patient, on_delete=models.CASCADE)
# chromosome = models.CharField(max_length=2)
# genomic_coordinate = models.CharField(max_length=30)
# dep... | 39.321429 | 93 | 0.739328 | from django.db import models
# Create your models here.
class Sample_list(models.Model):
sequencing_panel_version = models.CharField(max_length=100, blank=True)
capture_number = models.CharField(max_length=100, blank=True)
mody_number = models.CharField(max_length=100, blank=True)
ex_number = models.Ch... | 27 | 544 | 22 |
ba228815b4ba54f8ab37ab6654102f19eb9da246 | 293 | py | Python | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | djangular/scrumboard/urls.py | abumukhlis/djangular | a506152187f2703db1fa98c98a8ddd5afdbe9a8a | [
"MIT"
] | null | null | null | from django.conf.urls import url
from django.views.generic import TemplateView
from .api import ListApi, CardApi
urlpatterns = [
url(r'^lists$', ListApi.as_view()),
url(r'^cards$', CardApi.as_view()),
url(r'^home', TemplateView.as_view(template_name="scrumboard/home.html")),
]
| 24.416667 | 78 | 0.713311 | from django.conf.urls import url
from django.views.generic import TemplateView
from .api import ListApi, CardApi
urlpatterns = [
url(r'^lists$', ListApi.as_view()),
url(r'^cards$', CardApi.as_view()),
url(r'^home', TemplateView.as_view(template_name="scrumboard/home.html")),
]
| 0 | 0 | 0 |
390e4182344bb991febf84b82ca8a4ceb2fc1bfc | 100 | py | Python | march_madness/apps.py | HashSplat-fun/MarchMadnessSite | 0686db44e64f47d7761b371f4d4857531fb840b5 | [
"MIT"
] | null | null | null | march_madness/apps.py | HashSplat-fun/MarchMadnessSite | 0686db44e64f47d7761b371f4d4857531fb840b5 | [
"MIT"
] | null | null | null | march_madness/apps.py | HashSplat-fun/MarchMadnessSite | 0686db44e64f47d7761b371f4d4857531fb840b5 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 16.666667 | 36 | 0.78 | from django.apps import AppConfig
class MarchMadnessConfig(AppConfig):
name = 'march_madness'
| 0 | 42 | 23 |
1b1712b7058692c9686ce8295db8b259edd19095 | 142 | py | Python | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 10 | 2021-07-04T15:14:12.000Z | 2021-10-17T14:52:56.000Z | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 11 | 2021-07-04T19:31:36.000Z | 2022-01-11T02:46:23.000Z | equality/util/default_root.py | grayfallstown/equality-blockchain | 019425b703f6b013e441481ac43389a80415f2f1 | [
"Apache-2.0"
] | 11 | 2021-07-04T21:49:17.000Z | 2021-10-04T17:45:38.000Z | import os
from pathlib import Path
DEFAULT_ROOT_PATH = Path(os.path.expanduser(os.getenv("EQUALITY_ROOT", "~/.equality/mainnet"))).resolve()
| 28.4 | 105 | 0.767606 | import os
from pathlib import Path
DEFAULT_ROOT_PATH = Path(os.path.expanduser(os.getenv("EQUALITY_ROOT", "~/.equality/mainnet"))).resolve()
| 0 | 0 | 0 |
5f895f7e7d7b781823aafb786f119240b7436565 | 3,116 | py | Python | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | Python_datetime_module.py | smalik-hub/Python_datetime_module | f42d4db8d7ed2f07bc32f4206f483d38ade4e23a | [
"MIT"
] | null | null | null | import datetime
def days_in_month(year, month):
"""
Inputs:
year - an integer between datetime.MINYEAR and datetime.MAXYEAR
representing the year
month - an integer between 1 and 12 representing the month
Returns:
The number of days in the input month.
"""
if month... | 29.121495 | 74 | 0.630937 | import datetime
def days_in_month(year, month):
"""
Inputs:
year - an integer between datetime.MINYEAR and datetime.MAXYEAR
representing the year
month - an integer between 1 and 12 representing the month
Returns:
The number of days in the input month.
"""
if month... | 0 | 0 | 0 |
4b1c1c2bd38dd57c68ccab633122f46bc2570918 | 11,854 | py | Python | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | 1 | 2022-03-26T22:30:30.000Z | 2022-03-26T22:30:30.000Z | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | 1 | 2021-09-08T08:26:38.000Z | 2021-09-08T08:26:38.000Z | analyze_metric_evaluation_results.py | webis-de/IJCAI-21 | 1f9fccb07d0d6d1b73da787a1bce499b641c3a5e | [
"MIT"
] | null | null | null | import argparse
import json
import logging
import numpy as np
from datetime import datetime
from os import path
from webias.constants import BIAS_METRIC_LIMITS, BIAS_METRIC_ZERO, LOGGING_CONFIG
def calculate_mean_values(results_per_run: list) -> float:
"""Calculate the mean values of each dimension for the give... | 38.487013 | 100 | 0.667117 | import argparse
import json
import logging
import numpy as np
from datetime import datetime
from os import path
from webias.constants import BIAS_METRIC_LIMITS, BIAS_METRIC_ZERO, LOGGING_CONFIG
def calculate_mean_values(results_per_run: list) -> float:
"""Calculate the mean values of each dimension for the give... | 1,442 | 0 | 23 |
260e08f52c4a559ef75f86a101130dc3363e4001 | 465 | py | Python | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | null | null | null | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | 1 | 2021-06-12T04:26:46.000Z | 2021-06-18T09:28:57.000Z | main.py | GrayXu/NCBI-SuppMat-Spider | bb225095d4fa00a0192c9f5d5b517e3ec155a758 | [
"MIT"
] | null | null | null | from searcher import NCBI_searcher
# this api_key is only for testing. So pls use your api_key from ur NCBI accounts, otherwise it will effect your speed
api_key = '1cb4976dd163905feedacce5da0f10552309'
keywords = "metabolomics"
keywords_file = "propanoyl-CoA"
searcher = NCBI_searcher(api_key=api_key, len_limit=0)
... | 29.0625 | 118 | 0.806452 | from searcher import NCBI_searcher
# this api_key is only for testing. So pls use your api_key from ur NCBI accounts, otherwise it will effect your speed
api_key = '1cb4976dd163905feedacce5da0f10552309'
keywords = "metabolomics"
keywords_file = "propanoyl-CoA"
searcher = NCBI_searcher(api_key=api_key, len_limit=0)
... | 0 | 0 | 0 |
5d9e84e34faf87ac083193ffe9a009e679d66385 | 40,212 | py | Python | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | null | null | null | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | 1 | 2022-03-22T22:11:21.000Z | 2022-03-22T22:11:21.000Z | general/tasks_importer/sdk/swagger_client/api/users_api.py | CitizenScienceCenter/c3s_tools | 36479905ffbeb2bdabbc2be145dfe4fe7258ef5d | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
CCCS
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa:... | 36.556364 | 154 | 0.582985 | # coding: utf-8
"""
CCCS
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa:... | 120 | 0 | 27 |
996bffea97a333db29faf95a43c538be6ca01063 | 1,167 | py | Python | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2022-03-14T06:26:16.000Z | 2022-03-14T06:26:16.000Z | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2016-09-24T16:47:43.000Z | 2016-09-24T16:47:43.000Z | bin/generate-download-arrow.py | imagejan/fiji | e0c077afd0b121fc8e74955e7b5bda7175e111ed | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | from ij import IJ
from ij.gui import ShapeRoi
from java.awt import Color, Polygon
from java.awt.geom import PathIterator
w = int(36)
h = int(42)
lineWidth = 2
arrowWidth = 16
image = IJ.createImage('Download arrow', 'rgb', w, h, 1)
ip = image.getProcessor()
ip.setLineWidth(lineWidth)
ip.setColor(Color(0x65a4e3))
roi ... | 29.175 | 56 | 0.723222 | from ij import IJ
from ij.gui import ShapeRoi
from java.awt import Color, Polygon
from java.awt.geom import PathIterator
w = int(36)
h = int(42)
lineWidth = 2
arrowWidth = 16
image = IJ.createImage('Download arrow', 'rgb', w, h, 1)
ip = image.getProcessor()
ip.setLineWidth(lineWidth)
ip.setColor(Color(0x65a4e3))
roi ... | 0 | 0 | 0 |
12d2de0f1f8174b334d048e70abd7141b3e876ad | 10,289 | py | Python | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 6 | 2019-03-18T16:55:13.000Z | 2021-07-14T23:49:15.000Z | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 75 | 2019-03-19T02:45:30.000Z | 2019-12-28T04:11:33.000Z | tests/test_lnd.py | ln2max/noma | 766536768b0f839cfb1bcaf2fbaa024381898a3f | [
"Apache-2.0"
] | 2 | 2019-03-28T08:44:02.000Z | 2019-07-17T20:26:47.000Z | """Test LND functions"""
import logging
import random
import json
import unittest
from unittest import mock
from noma import lnd
import noma.config as cfg
class TestComplete(Exception):
"""Raise me to stop the test, we're done"""
class Unhappy(Exception):
"""Something has gone wrong"""
class LndCreateWall... | 37.010791 | 83 | 0.59549 | """Test LND functions"""
import logging
import random
import json
import unittest
from unittest import mock
from noma import lnd
import noma.config as cfg
class TestComplete(Exception):
"""Raise me to stop the test, we're done"""
class Unhappy(Exception):
"""Something has gone wrong"""
class LndCreateWall... | 2,096 | 0 | 327 |
4736efc5a7f23956e05fb23e36e0c4950f3c51db | 815 | py | Python | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 11 | 2018-12-21T11:45:45.000Z | 2021-05-26T08:13:32.000Z | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 2 | 2019-10-11T07:50:33.000Z | 2021-05-29T22:50:07.000Z | scouter/sns/publiclyExposedTopics.py | hmussana/Scouter | d0a6acd5756e0d9c13f4a2a193a77340fa0df28a | [
"MIT"
] | 7 | 2019-04-12T06:45:31.000Z | 2021-05-26T08:13:55.000Z | #!/usr/bin/python3
from jmespath import search as queryJson
import boto3
import json
if __name__ == '__main__':
main()
| 24.69697 | 66 | 0.733742 | #!/usr/bin/python3
from jmespath import search as queryJson
import boto3
import json
def parseJson(query, jsonObj):
return(queryJson(query, jsonObj))
def topicsList(clientApiCall):
topics = clientApiCall.list_topics()
topicsList = parseJson('Topics[*].TopicArn', topics)
return(topicsList)
def getTopicsAttrs(... | 601 | 0 | 92 |
347bed225edd8991964acd25c8ce13fed93d87e7 | 4,475 | py | Python | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | trove/tests/unittests/configuration/test_configuration_controller.py | denismakogon/trove | 753f80d4c833efbd83eb184b10aba0d18babe34b | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 Rackspace
# 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 app... | 35.23622 | 78 | 0.599777 | # Copyright 2014 Rackspace
# 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 app... | 3,390 | 42 | 260 |
8d99575efdd9d8ac0a1ddf8a867f547e81324f04 | 912 | py | Python | profile_generator/schema/map_schema.py | nethy/profile-generator | 9bc54bed36b84b45902d75a273739480b4ff2204 | [
"MIT"
] | null | null | null | profile_generator/schema/map_schema.py | nethy/profile-generator | 9bc54bed36b84b45902d75a273739480b4ff2204 | [
"MIT"
] | null | null | null | profile_generator/schema/map_schema.py | nethy/profile-generator | 9bc54bed36b84b45902d75a273739480b4ff2204 | [
"MIT"
] | null | null | null | from collections.abc import Mapping
from typing import Any, Optional
from .object_schema import InvalidObjectError, InvalidTypeError
from .schema import Schema, SchemaError
| 28.5 | 72 | 0.656798 | from collections.abc import Mapping
from typing import Any, Optional
from .object_schema import InvalidObjectError, InvalidTypeError
from .schema import Schema, SchemaError
class MapSchema(Schema):
def __init__(self, value_schema: Schema):
self._value_schema = value_schema
def validate(self, data: A... | 607 | 3 | 126 |
81c7f112eb4726b9839c0de9698433750367c98d | 4,710 | py | Python | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | bed_vcf_match/read_vcf.py | troycomi/bed_vcf_match | 66ca12b3d41cfa9bea060f1a97afae9095ee8db5 | [
"MIT"
] | null | null | null | '''
read_vcf
Read a vcf file into pandas data frame
'''
import pandas as pd
from typing import TextIO, List
import numpy as np
def import_vcf(vcf_reader: TextIO,
dataframe: pd.DataFrame = None,
check_phasing: bool = False,
individuals: List[str] = None) -> pd.DataFrame:... | 33.169014 | 79 | 0.552866 | '''
read_vcf
Read a vcf file into pandas data frame
'''
import pandas as pd
from typing import TextIO, List
import numpy as np
def import_vcf(vcf_reader: TextIO,
dataframe: pd.DataFrame = None,
check_phasing: bool = False,
individuals: List[str] = None) -> pd.DataFrame:... | 199 | 0 | 57 |
63833a69f08732db5d51c9fe36cdb142b3ed81b7 | 5,966 | py | Python | tests/test_transport.py | serathius/elasticsearch-raven | 17d316d5a466ba2636d9ce4e58cbeb532d3e1dab | [
"MIT"
] | 1 | 2016-12-09T12:54:40.000Z | 2016-12-09T12:54:40.000Z | tests/test_transport.py | serathius/elasticsearch-raven | 17d316d5a466ba2636d9ce4e58cbeb532d3e1dab | [
"MIT"
] | 1 | 2021-06-01T21:57:44.000Z | 2021-06-01T21:57:44.000Z | tests/test_transport.py | serathius/elasticsearch-raven | 17d316d5a466ba2636d9ce4e58cbeb532d3e1dab | [
"MIT"
] | 1 | 2016-05-25T02:15:14.000Z | 2016-05-25T02:15:14.000Z | import datetime
import logging
import string
from unittest import TestCase
from unittest import mock
from elasticsearch_raven import exceptions
from elasticsearch_raven import transport
| 40.040268 | 79 | 0.620181 | import datetime
import logging
import string
from unittest import TestCase
from unittest import mock
from elasticsearch_raven import exceptions
from elasticsearch_raven import transport
class DummyMock(mock.Mock):
def __eq__(self, other):
return True
class ParseSentryHeadersTest(TestCase):
def test... | 4,905 | 280 | 587 |
8ef1a24988dd589571d3796d3f6dd516e65ebe82 | 3,152 | py | Python | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | null | null | null | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | 2 | 2021-07-02T10:00:32.000Z | 2022-02-06T17:47:56.000Z | helpers.py | its-development/django-api-wrapper | 30627cbd14363d5abf806e7eddbceb653189d3c6 | [
"MIT"
] | null | null | null | import binascii
import functools
import json
import os
from rest_framework import permissions
from rest_framework import exceptions
from api.exceptions import *
from api.cryptor import ApiCrypto
| 23.522388 | 108 | 0.580584 | import binascii
import functools
import json
import os
from rest_framework import permissions
from rest_framework import exceptions
from api.exceptions import *
from api.cryptor import ApiCrypto
class ApiHelpers:
@staticmethod
def rgetattr(obj, attr, *args):
def _getattr(obj, attr):
ret... | 2,496 | 435 | 23 |
a4cdd1af856d3df5d9e3908e411c9966e40a2a98 | 1,563 | py | Python | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 11 | 2020-09-29T13:59:02.000Z | 2022-03-23T04:57:52.000Z | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 95 | 2019-11-18T20:10:49.000Z | 2022-03-31T17:09:49.000Z | escalate/core/experiment_templates/wf1.py | darkreactions/ESCALATE | 0020da00b81a2dd80d1c9fd72d2edf92b519e605 | [
"MIT"
] | 2 | 2021-11-26T18:22:08.000Z | 2022-03-31T11:57:10.000Z | from core.models.view_tables import Edocument
from core.models.core_tables import TypeDef
from core.utilities.wf1_utils import generate_robot_file, generate_robot_file_wf1
#
| 50.419355 | 92 | 0.677543 | from core.models.view_tables import Edocument
from core.models.core_tables import TypeDef
from core.utilities.wf1_utils import generate_robot_file, generate_robot_file_wf1
#
def perovskite_demo(data, q1, experiment_copy_uuid, exp_name, exp_template):
robotfile_blob = generate_robot_file(q1,data,'Symyx_96_well_0003... | 1,343 | 0 | 45 |
7852f40ea6ee2265d5791ae3e1f2a09a296ae580 | 12,587 | py | Python | hotpot/models/single_context_models.py | faezezps/SiMQC | cb1f4dc02469189dfb4713b194bdb691f99aa930 | [
"BSD-3-Clause"
] | 36 | 2019-06-18T02:30:07.000Z | 2021-02-20T03:45:29.000Z | hotpot/models/single_context_models.py | faezezps/SiMQC | cb1f4dc02469189dfb4713b194bdb691f99aa930 | [
"BSD-3-Clause"
] | 3 | 2019-09-18T06:52:46.000Z | 2020-12-29T06:55:34.000Z | hotpot/models/single_context_models.py | faezezps/SiMQC | cb1f4dc02469189dfb4713b194bdb691f99aa930 | [
"BSD-3-Clause"
] | 4 | 2019-11-29T13:56:06.000Z | 2021-07-12T12:55:44.000Z | from typing import Optional, Union
import tensorflow as tf
from tensorflow.python.layers.core import fully_connected
from hotpot.elmo.elmo import ElmoWrapper
from hotpot.elmo.lm_model import LanguageModel
from hotpot.encoder import QuestionsAndParagraphsEncoder
from hotpot.models.multiple_context_models import Multipl... | 52.665272 | 120 | 0.66529 | from typing import Optional, Union
import tensorflow as tf
from tensorflow.python.layers.core import fully_connected
from hotpot.elmo.elmo import ElmoWrapper
from hotpot.elmo.lm_model import LanguageModel
from hotpot.encoder import QuestionsAndParagraphsEncoder
from hotpot.models.multiple_context_models import Multipl... | 10,059 | 0 | 189 |
a2400a9a19b6520a2473a735fb5534581c2c1f3d | 8,106 | py | Python | atomsci/ddm/utils/pubchem_utils.py | truatpasteurdotfr/AMPL | 0295d56166632647b194e7221eab315bac74dfe0 | [
"MIT"
] | 1 | 2019-12-18T20:02:58.000Z | 2019-12-18T20:02:58.000Z | atomsci/ddm/utils/pubchem_utils.py | kim79sookyung/AMPL | 68dd7a8004272d22ef5d975c57e1e9149c820f8b | [
"MIT"
] | 3 | 2022-01-13T03:51:49.000Z | 2022-03-12T00:59:39.000Z | atomsci/ddm/utils/pubchem_utils.py | kim79sookyung/AMPL | 68dd7a8004272d22ef5d975c57e1e9149c820f8b | [
"MIT"
] | null | null | null | import urllib.request as urlreq
import io,json
import pandas as pd
# ******************************************************************************************************************************************
def download_smiles(myList,intv=1) :
"""Retrieve canonical SMILES strings for a list of input INCHIKEYS.
... | 34.939655 | 235 | 0.535283 | import urllib.request as urlreq
import io,json
import pandas as pd
# ******************************************************************************************************************************************
def download_smiles(myList,intv=1) :
"""Retrieve canonical SMILES strings for a list of input INCHIKEYS.
... | 0 | 0 | 0 |
637349731dc5abe031e309e3d3391e433f291f81 | 7,785 | py | Python | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | others/save_model_result.py | prise-3d/Thesis-NoiseDetection-rfe-attributes | f5062a03876e8f270f79c3d811bf7ba1ec7d9ba1 | [
"MIT"
] | null | null | null | # main imports
import numpy as np
import pandas as pd
import sys, os, argparse
import subprocess
import time
import json
# models imports
from sklearn.utils import shuffle
from sklearn.externals import joblib
from sklearn.metrics import accuracy_score, f1_score, recall_score, roc_auc_score
from sklearn.model_selectio... | 35.711009 | 131 | 0.721901 | # main imports
import numpy as np
import pandas as pd
import sys, os, argparse
import subprocess
import time
import json
# models imports
from sklearn.utils import shuffle
from sklearn.externals import joblib
from sklearn.metrics import accuracy_score, f1_score, recall_score, roc_auc_score
from sklearn.model_selectio... | 6,673 | 0 | 23 |
f70e8a5e36b7b6fa9004e87414745e7ec78d75f6 | 96 | py | Python | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | GiulianaPola/select_repeats | 17a0d053d4f874e42cf654dd142168c2ec8fbd11 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/keyring/backends/SecretService.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/b7/df/1e/7980259571f5a43b5ac0c36215dfc4b1485986d14af13b40a821ae930f | 96 | 96 | 0.895833 | /home/runner/.cache/pip/pool/b7/df/1e/7980259571f5a43b5ac0c36215dfc4b1485986d14af13b40a821ae930f | 0 | 0 | 0 |
e08073175d03b4f48203fa10fa8dd47aa503d0ff | 1,201 | py | Python | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | projecteuler/Question6.py | ashwinchidambaram/PythonCode | 8599fa1210e9eefbb9f680712c2edabb7acd2157 | [
"MIT"
] | null | null | null | # Ashwin Chidambaram ##
# Task: Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum ##
##########################################################... | 28.595238 | 130 | 0.502914 | # Ashwin Chidambaram ##
# Task: Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum ##
##########################################################... | 0 | 0 | 0 |
d0ce3093e578c01c7faea1b1868d054bfd3f17a5 | 403 | py | Python | helpinghand/convenience_gates.py | QuantMarkFramework/helpinghand | c0afef640210e9b1d1a94065f521a42356b8d3a3 | [
"MIT"
] | 1 | 2021-08-12T18:20:33.000Z | 2021-08-12T18:20:33.000Z | helpinghand/convenience_gates.py | QuantMarkFramework/helpinghand | c0afef640210e9b1d1a94065f521a42356b8d3a3 | [
"MIT"
] | null | null | null | helpinghand/convenience_gates.py | QuantMarkFramework/helpinghand | c0afef640210e9b1d1a94065f521a42356b8d3a3 | [
"MIT"
] | null | null | null | import tequila as tq
import numpy as np
import typing
| 33.583333 | 97 | 0.719603 | import tequila as tq
import numpy as np
import typing
def V(target: typing.Union[list, int], control: typing.Union[list, int] = None) -> tq.QCircuit:
return tq.gates.Rx(target=target, control=control, angle=0.5 * np.pi)
def Vdg(target: typing.Union[list, int], control: typing.Union[list, int] = None) -> tq.QCircui... | 301 | 0 | 46 |
ecbef9a6ed4d21337a001701bed1db3e21bb31d4 | 2,978 | py | Python | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | Experiments/MAIN/m_evaluate_model.py | j-wilhelm/Automatic_description_generation | 5f2eff0cbc42917e04d23abf231394e98d0db554 | [
"FSFAP"
] | null | null | null | # These need to be at the top to allow for running on cluster
import os
import random
import sys
cwd = os.getcwd()
sys.path.append(cwd)
# Other imports
import json
import getopt
from h_captionmodel import CaptionModel
import pickle
import time
import tensorflow.keras.backend as K
arguments = getopt.g... | 38.179487 | 121 | 0.658496 | # These need to be at the top to allow for running on cluster
import os
import random
import sys
cwd = os.getcwd()
sys.path.append(cwd)
# Other imports
import json
import getopt
from h_captionmodel import CaptionModel
import pickle
import time
import tensorflow.keras.backend as K
arguments = getopt.g... | 0 | 0 | 0 |
004f63b232f6de82e719f0bb174dfade3dd58281 | 2,613 | py | Python | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | cowin_notifier.py | nirmannarang/cowin-slot-notifier | 87e626973cecfd7829e748e8d3b5cf80610feb0e | [
"MIT"
] | null | null | null | #! /usr/bin/python3
import os
import telegram_send
import requests
from datetime import date,datetime
from time import time,ctime,sleep
#Refresh Interval in seconds
ref_interval = 5
d_today = date.today()
age_limit = 18
__district_code = "363"
dt = d_today.strftime("%d/%m/%Y")
__date_today = str(dt).replace("/","... | 35.310811 | 218 | 0.66437 | #! /usr/bin/python3
import os
import telegram_send
import requests
from datetime import date,datetime
from time import time,ctime,sleep
#Refresh Interval in seconds
ref_interval = 5
d_today = date.today()
age_limit = 18
__district_code = "363"
dt = d_today.strftime("%d/%m/%Y")
__date_today = str(dt).replace("/","... | 2,043 | 0 | 47 |
7d809051c608d71775c172088fd72765826b9a34 | 819 | py | Python | more_autograding_examples/python_random_input_output/submissions/solution.py | elihschiff/Submitty | 8b980997b6f1dfcd73eb4cf4cca43398e67f96dc | [
"BSD-3-Clause"
] | 411 | 2016-06-14T20:52:25.000Z | 2022-03-31T21:20:25.000Z | more_autograding_examples/python_random_input_output/submissions/solution.py | KaelanWillauer/Submitty | cf9b6ceda15ec0a661e2ca81ea7864790094c64a | [
"BSD-3-Clause"
] | 5,730 | 2016-05-23T21:04:32.000Z | 2022-03-31T10:08:06.000Z | more_autograding_examples/python_random_input_output/submissions/solution.py | KaelanWillauer/Submitty | cf9b6ceda15ec0a661e2ca81ea7864790094c64a | [
"BSD-3-Clause"
] | 423 | 2016-09-22T21:11:30.000Z | 2022-03-29T18:55:28.000Z | import sys
print ("#icebucketchallenge vs #alsicebucketchallenge, percentage change")
print_change(200,500,100,300)
print_change(500,2000,300,1500)
print_change(2000,12000,1500,13000)
print_change(12000,24000,13000,25000)
print_change(24000,65000,25000,105000)
print_change(65000,70000,105000,85000)
# read the last te... | 26.419355 | 74 | 0.70696 | import sys
def percent_change(old,new):
return int(100*(float(new)-old)/old)
def print_change(old1, new1, old2, new2):
p1 = percent_change(old1,new1)
p2 = percent_change(old2,new2)
print (p1, "vs", p2)
print ("#icebucketchallenge vs #alsicebucketchallenge, percentage change")
print_change(200,500,100... | 163 | 0 | 46 |
c5a2237689eaa1a6a7770832e2664d34b8c27402 | 930 | py | Python | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | 1 | 2019-06-25T16:55:33.000Z | 2019-06-25T16:55:33.000Z | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | null | null | null | setup.py | Alex-Linhares/gscholar | 25388d57dacf5f1fe905321dbf9ec59362c1e92c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
import gscholar
setup(name='gscholar',
version=gscholar.__VERSION__,
description='Python library to query Google Scholar.',
long_description='This package provides a python package and CLI to query google scholar and get references in various form... | 31 | 163 | 0.61828 | #!/usr/bin/env python
from setuptools import setup
import gscholar
setup(name='gscholar',
version=gscholar.__VERSION__,
description='Python library to query Google Scholar.',
long_description='This package provides a python package and CLI to query google scholar and get references in various form... | 0 | 0 | 0 |
79065e5eadad7bc0e642e51294c0672d7f8e4553 | 13,148 | py | Python | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | gensim/gensim/corpora/hashdictionary.py | Abas-Khan/thesis | b733bd4382371203cc4992571890619a2e314047 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012 Homer Strong, Radim Rehurek
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""This module implements the "hashing trick" [1]_ -- a mapping between words and their integer ids
using a fixed and static mapping.
Notes
-----... | 37.673352 | 120 | 0.604198 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012 Homer Strong, Radim Rehurek
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
"""This module implements the "hashing trick" [1]_ -- a mapping between words and their integer ids
using a fixed and static mapping.
Notes
-----... | 116 | 0 | 53 |
0928532889196818149862e59a74c27dd46f1441 | 8,365 | py | Python | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | Labs_Python/lab6_the_basics/albright_lab6c.py | King-Nivek/Scripting_Class | 80e8fd0a5fcb1fddebd41d5bda416208cdd564e0 | [
"RSA-MD"
] | null | null | null | #!/usr/bin/python
#'''''''10''''''''20''''''''30''''''''40''''''''50''''''''60''''''''70''''''''80
'''_____________________________________________________________________________
'
' Created By: Kevin M. Albright
' Creation Date: 03.24.2014
'
' Modified By: Kevin M. Albright
' Last Modified: 03.30.2014
'
... | 32.049808 | 80 | 0.613628 | #!/usr/bin/python
#'''''''10''''''''20''''''''30''''''''40''''''''50''''''''60''''''''70''''''''80
'''_____________________________________________________________________________
'
' Created By: Kevin M. Albright
' Creation Date: 03.24.2014
'
' Modified By: Kevin M. Albright
' Last Modified: 03.30.2014
'
... | 3,097 | 0 | 220 |
468c0c8c4c5d08e8bce7f0e65e1ea5486f733075 | 4,720 | py | Python | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | src/modules/produce_summary.py | jannesgg/fake-news-detection | 6d898ca1b9aef98825d2c6f0bf2c65ab023aca74 | [
"MIT"
] | null | null | null | from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from sklearn.metrics.pairwise import cosine_similarity
import en_coref_lg
import networkx as nx
import pandas as pd
import numpy as np
nlp = en_coref_lg.load()
# paths #
embedding_path = "../../data/embeddings/"
# article summarizer #
def g... | 27.764706 | 86 | 0.587076 | from nltk.tokenize import sent_tokenize
from nltk.corpus import stopwords
from sklearn.metrics.pairwise import cosine_similarity
import en_coref_lg
import networkx as nx
import pandas as pd
import numpy as np
nlp = en_coref_lg.load()
# paths #
embedding_path = "../../data/embeddings/"
# article summarizer #
def g... | 96 | 0 | 26 |
1bcf57c3832199ff88668abc4e195417ac28330b | 5,270 | py | Python | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | 8 | 2020-01-16T11:16:20.000Z | 2020-07-15T12:45:51.000Z | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | null | null | null | koda/edge/network.py | federico-terzi/koda | 9a179bbce6f013fbbbf7cf4862facaaed7f487ce | [
"MIT"
] | 1 | 2020-02-18T07:30:46.000Z | 2020-02-18T07:30:46.000Z | import cv2
import keras
import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from .base import EdgeDetector
# Size of the edge mask matrix
TARGET_IMAGE_SIZE = 256
class UNetEdgeDetector(EdgeDetector):
"""
EdgeDetector implementation which uses the UNet deep ... | 51.666667 | 136 | 0.650285 | import cv2
import keras
import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from .base import EdgeDetector
# Size of the edge mask matrix
TARGET_IMAGE_SIZE = 256
class UNetEdgeDetector(EdgeDetector):
"""
EdgeDetector implementation which uses the UNet deep ... | 3,624 | 0 | 27 |
f4a63b1bed458fdc17c2176e8f50420f8e9e7bac | 528 | py | Python | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 6 | 2020-09-18T00:13:38.000Z | 2021-11-14T17:12:19.000Z | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 321 | 2020-08-28T15:42:25.000Z | 2022-03-14T15:11:50.000Z | cds_ils/migrator/series/__init__.py | kpsherva/cds-ils | 8eeeb6e03784756ed24895c8d030682f9d733e8a | [
"MIT"
] | 8 | 2019-07-10T07:02:08.000Z | 2020-08-10T14:07:25.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# CDS-ILS is free software; you can redistribute it and/or modify it under
# the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS migrator module."""
from cds_dojson.overdo import OverdoBase
serial_marc21 = OverdoBase(entry_point_models="cd... | 29.333333 | 78 | 0.767045 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CERN.
#
# CDS-ILS is free software; you can redistribute it and/or modify it under
# the terms of the MIT License; see LICENSE file for more details.
"""CDS-ILS migrator module."""
from cds_dojson.overdo import OverdoBase
serial_marc21 = OverdoBase(entry_point_models="cd... | 0 | 0 | 0 |
47840db448f0bdb400c56476b1de52d29ca4ebfe | 2,710 | py | Python | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | papahana_flask_server_demo/papahana/controllers/instrument_controller.py | KeckObservatory/papahana_backend | 4259e236d9ec672e0b36482cc9f81426c468f941 | [
"BSD-3-Clause"
] | null | null | null | import connexion
import six
from papahana.models.instrument_enum import InstrumentEnum
from papahana.models.instrument_package import InstrumentPackage
from papahana import util
from papahana.controllers import controller_helper as utils
def instrument_packages(instrument):
"""instrument_packages
Retrieves... | 31.882353 | 82 | 0.734317 | import connexion
import six
from papahana.models.instrument_enum import InstrumentEnum
from papahana.models.instrument_package import InstrumentPackage
from papahana import util
from papahana.controllers import controller_helper as utils
def instrument_packages(instrument):
"""instrument_packages
Retrieves... | 211 | 0 | 23 |
42e4b898e84c33fec197ea5476852ef49b6329d4 | 15,992 | py | Python | dvmvs/fusionnet/model.py | hashi0203/deep-video-mvs | b3943a9249d522dca3e6cd603e427f611cc7bad5 | [
"MIT"
] | 1 | 2022-01-10T07:51:41.000Z | 2022-01-10T07:51:41.000Z | dvmvs/fusionnet/model.py | MorchelPeng/deep-video-mvs | fa14288f149c5af7b2a49092f729f5c4f44517ba | [
"MIT"
] | null | null | null | dvmvs/fusionnet/model.py | MorchelPeng/deep-video-mvs | fa14288f149c5af7b2a49092f729f5c4f44517ba | [
"MIT"
] | null | null | null | from collections import OrderedDict
import torch
from torchvision import models
from torchvision.ops import FeaturePyramidNetwork
from dvmvs.config import Config
from dvmvs.convlstm import MVSLayernormConvLSTMCell
from dvmvs.layers import conv_layer, depth_layer_3x3
fpn_output_channels = 32
hyper_channels = 32
... | 47.313609 | 127 | 0.55978 | from collections import OrderedDict
import torch
from torchvision import models
from torchvision.ops import FeaturePyramidNetwork
from dvmvs.config import Config
from dvmvs.convlstm import MVSLayernormConvLSTMCell
from dvmvs.layers import conv_layer, depth_layer_3x3
fpn_output_channels = 32
hyper_channels = 32
cla... | 14,727 | 180 | 760 |
71b3e231730fc9bb2e954c9f746b2fd3d339d508 | 8,650 | py | Python | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | fabfile.py | rajusjohn/jenkinstest | 6c8f3733cc7df98f72373b6cf1985fa4383d9c78 | [
"MIT"
] | null | null | null | #!/usr/bin/python
from fabric.operations import local as lrun, run
from fabric.api import env,cd,run,settings,task
from fabric.colors import cyan,red
import sys
# Usage for VXML -> fab domain_vxml -H <hostname>
# Usage for VCS -> fab domain_vcs -H <hostname>
env.user = 'root'
# Take the host name argument and split it ... | 42.401961 | 119 | 0.656532 | #!/usr/bin/python
from fabric.operations import local as lrun, run
from fabric.api import env,cd,run,settings,task
from fabric.colors import cyan,red
import sys
# Usage for VXML -> fab domain_vxml -H <hostname>
# Usage for VCS -> fab domain_vcs -H <hostname>
env.user = 'root'
# Take the host name argument and split it ... | 7,448 | 0 | 274 |
72d2c91505cab9af198c7abf77799ae787b62e03 | 571 | py | Python | utility/lti.py | FelipeCapati/pid-tuning-using-pso | 1b53668f76bf692cdd87edae2148a71bf6c28c70 | [
"MIT"
] | null | null | null | utility/lti.py | FelipeCapati/pid-tuning-using-pso | 1b53668f76bf692cdd87edae2148a71bf6c28c70 | [
"MIT"
] | null | null | null | utility/lti.py | FelipeCapati/pid-tuning-using-pso | 1b53668f76bf692cdd87edae2148a71bf6c28c70 | [
"MIT"
] | null | null | null | import sympy as sy
from scipy import signal
| 38.066667 | 81 | 0.66725 | import sympy as sy
from scipy import signal
def lti_to_sympy(lsys, symplify=True):
s = sy.Symbol('s')
G = sy.Poly(lsys.num, s) / sy.Poly(lsys.den, s)
return sy.simplify(G) if symplify else G
def sympy_to_lti(xpr, s=sy.Symbol('s')):
num, den = sy.simplify(xpr).as_numer_denom() # expressions
p_num... | 481 | 0 | 46 |
f6da5428789043e08eb9f1ce35cedf0b3fe38998 | 362 | py | Python | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | screenplay/screenplay/condition.py | jack-skerrett-bluefruit/Python-ScreenPlay | 045486bdf441fa3a7a6cde59e7b7e12a7d53fbed | [
"MIT"
] | null | null | null | from .question import Question
from .matcher import Matcher
see_that = Condition
| 24.133333 | 98 | 0.729282 | from .question import Question
from .matcher import Matcher
class Condition:
def __init__(self, question: Question, expected: Matcher):
self.question = question
self.expected = expected
def check_as(self, actor):
assert self.expected.matches(self.question.answered_by(actor)), self.exp... | 207 | -5 | 76 |
2ff2609b5b28fb9e8b8e1b895ad7a240ffa90447 | 53 | py | Python | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 5 | 2017-07-23T15:04:01.000Z | 2018-08-10T01:27:08.000Z | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 72 | 2015-09-14T07:54:54.000Z | 2021-03-15T10:29:26.000Z | dictionaria/scripts/__init__.py | LimorNaaman/dictionaria | 9f8a5139af99eb4ae1af9ed0b340120c486cf112 | [
"Apache-2.0"
] | 4 | 2015-12-06T22:00:35.000Z | 2018-05-04T12:16:53.000Z | #
from clld.web.util.helpers import rendered_sentence | 26.5 | 51 | 0.849057 | #
from clld.web.util.helpers import rendered_sentence | 0 | 0 | 0 |
f45fc4dc6db53b674b8272a626b89695026d1c52 | 954 | py | Python | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | null | null | null | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | null | null | null | alacarte/templatetags/alacarte.py | cerealcable/django-alacarte | 4ad6fa013365fbcc1034db2eca8f6cab441d14fb | [
"MIT"
] | 1 | 2022-01-13T17:03:29.000Z | 2022-01-13T17:03:29.000Z | from __future__ import absolute_import
from django import template
from django.template.loader import render_to_string
from alacarte import get_menus
register = template.Library()
@register.tag
| 23.85 | 62 | 0.6174 | from __future__ import absolute_import
from django import template
from django.template.loader import render_to_string
from alacarte import get_menus
register = template.Library()
class AlacarteNode(template.Node):
def __init__(self, menus):
self.menus = menus
def render(self, context):
# ... | 643 | 13 | 98 |
e83973e01df7502aa177d6a269b81d0459b3de02 | 92 | py | Python | inferno/trainers/callbacks/__init__.py | imagirom/inferno | 9ea69f8236a0d015898944a4e75d532007d615aa | [
"Apache-2.0"
] | null | null | null | inferno/trainers/callbacks/__init__.py | imagirom/inferno | 9ea69f8236a0d015898944a4e75d532007d615aa | [
"Apache-2.0"
] | null | null | null | inferno/trainers/callbacks/__init__.py | imagirom/inferno | 9ea69f8236a0d015898944a4e75d532007d615aa | [
"Apache-2.0"
] | null | null | null | from .base import CallbackEngine, Callback
from . import essentials
from . import scheduling | 30.666667 | 42 | 0.826087 | from .base import CallbackEngine, Callback
from . import essentials
from . import scheduling | 0 | 0 | 0 |