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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bfabf4fd12a9332dcec2ddca5c514bd1320a4778 | 5,954 | py | Python | homeassistant/components/tradfri/config_flow.py | tohara/home-assistant | d7fcb5268ad3c48d4e1a4bd202cd926810ab3e26 | [
"Apache-2.0"
] | 2 | 2018-01-21T20:25:04.000Z | 2018-08-01T08:05:06.000Z | homeassistant/components/tradfri/config_flow.py | tohara/home-assistant | d7fcb5268ad3c48d4e1a4bd202cd926810ab3e26 | [
"Apache-2.0"
] | 4 | 2021-03-19T01:22:18.000Z | 2022-01-13T01:19:34.000Z | homeassistant/components/tradfri/config_flow.py | tohara/home-assistant | d7fcb5268ad3c48d4e1a4bd202cd926810ab3e26 | [
"Apache-2.0"
] | 2 | 2018-08-15T03:59:35.000Z | 2018-10-18T12:20:05.000Z | """Config flow for Tradfri."""
import asyncio
from collections import OrderedDict
from uuid import uuid4
import async_timeout
import voluptuous as vol
from homeassistant import config_entries
from .const import (
CONF_IMPORT_GROUPS, CONF_IDENTITY, CONF_HOST, CONF_KEY, CONF_GATEWAY_ID)
KEY_SECURITY_CODE = 'secur... | 31.336842 | 79 | 0.610346 |
d9c2e4bd6f0c9ce65f421931b5d79cd3eb3dcc19 | 44 | py | Python | midea_beautiful/version.py | ethan021021/midea-beautiful-air | 9f71f1111551fa79c3e899c68144c79ffac9ad95 | [
"MIT"
] | null | null | null | midea_beautiful/version.py | ethan021021/midea-beautiful-air | 9f71f1111551fa79c3e899c68144c79ffac9ad95 | [
"MIT"
] | null | null | null | midea_beautiful/version.py | ethan021021/midea-beautiful-air | 9f71f1111551fa79c3e899c68144c79ffac9ad95 | [
"MIT"
] | null | null | null | """ Version File """
__version__ = "0.8.42"
| 14.666667 | 22 | 0.590909 |
3ce0f60a187e6b042ad58edd14f17e797bbc9301 | 744 | py | Python | discordbot.py | tasuren/CuBOT-Discord | 176549e0f33afb37a28f38c7d2f27f5a254dd603 | [
"MIT"
] | null | null | null | discordbot.py | tasuren/CuBOT-Discord | 176549e0f33afb37a28f38c7d2f27f5a254dd603 | [
"MIT"
] | null | null | null | discordbot.py | tasuren/CuBOT-Discord | 176549e0f33afb37a28f38c7d2f27f5a254dd603 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
import os
import sys
intents = discord.Intents.all()
client = discord.Client(intents=intents)
bot = commands.Bot(
command_prefix=["Cu!", "cu!"],
help_command=None,
intents=intents,
allowed_mentions=discord.AllowedMentions(replied_user=False, everyone=Fals... | 23.25 | 94 | 0.751344 |
fdb7129d116187f6e0260469ccc6937ecf6adbf3 | 556 | py | Python | map/urls.py | noah-dev/meetup_map | fa047518e7c932960473018460a20c3149e61d98 | [
"MIT"
] | null | null | null | map/urls.py | noah-dev/meetup_map | fa047518e7c932960473018460a20c3149e61d98 | [
"MIT"
] | 2 | 2020-02-11T23:22:17.000Z | 2020-06-05T17:24:58.000Z | map/urls.py | noah-dev/event_mapper | fa047518e7c932960473018460a20c3149e61d98 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
app_name = 'map'
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^privacy/$', views.privacy, name='privacy'),
url(r'^concept/$', views.concept, name='concept'),
url(r'^partial/$', views.partial, name='partial'),
url(r'^meetups_data/... | 37.066667 | 93 | 0.690647 |
f093c86b0ade571a816a02a13203929ef70bb9c7 | 14,431 | py | Python | rpc/train_rnn.py | siddharthgir/google-research | 07bf624ffbde9307f3ebe0a685804ec665eef919 | [
"Apache-2.0"
] | null | null | null | rpc/train_rnn.py | siddharthgir/google-research | 07bf624ffbde9307f3ebe0a685804ec665eef919 | [
"Apache-2.0"
] | null | null | null | rpc/train_rnn.py | siddharthgir/google-research | 07bf624ffbde9307f3ebe0a685804ec665eef919 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 34.941889 | 165 | 0.719285 |
e33eae78807dd55bc502aaae39697168ab2ab486 | 1,138 | py | Python | scripts/examples/Arduino/Portenta-H7/04-Image-Filters/mean_adaptive_threshold_filter.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 1,761 | 2015-07-10T23:14:17.000Z | 2022-03-30T07:49:49.000Z | scripts/examples/Arduino/Portenta-H7/04-Image-Filters/mean_adaptive_threshold_filter.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 487 | 2015-07-07T23:21:20.000Z | 2022-03-30T17:13:22.000Z | scripts/examples/Arduino/Portenta-H7/04-Image-Filters/mean_adaptive_threshold_filter.py | jiskra/openmv | a0f321836f77f94d8118910598dcdb79eb784d58 | [
"MIT"
] | 882 | 2015-08-01T08:34:19.000Z | 2022-03-30T07:36:23.000Z | # Mean Adaptive Threshold Filter Example
#
# This example shows off mean filtering with adaptive thresholding.
# When mean(threshold=True) the mean() method adaptive thresholds the image
# by comparing the mean of the pixels around a pixel, minus an offset, with that pixel.
import sensor, image, time
sensor.reset() #... | 43.769231 | 87 | 0.730228 |
a766bb12f6957dc0ecb3ad35df49e5b0f1314691 | 2,591 | py | Python | clustering/visualization.py | ECML-PKDD-2021/SIMPRIM | 5d2127b66aa443ac2c2a1e4a59e9b07c055f93d4 | [
"MIT"
] | null | null | null | clustering/visualization.py | ECML-PKDD-2021/SIMPRIM | 5d2127b66aa443ac2c2a1e4a59e9b07c055f93d4 | [
"MIT"
] | null | null | null | clustering/visualization.py | ECML-PKDD-2021/SIMPRIM | 5d2127b66aa443ac2c2a1e4a59e9b07c055f93d4 | [
"MIT"
] | null | null | null | # Standard
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns; sns.set() # for plot styling
from sklearn.metrics import confusion_matrix
import skopt.plots
def plot_confusion_matrix(true_labels, cluster_class_labels, size=(13,13)):
"""
Confusion Matrix that show... | 31.987654 | 99 | 0.644925 |
0325dd2238cd3ece608986b3ce91cff4016991fb | 3,503 | py | Python | tests/test_exceptions/test_exceptions.py | ricohapi/ricoh-cloud-sdk-python | 740d778c678e6097e3c35478545cbf283276a7ee | [
"MIT"
] | 2 | 2018-08-14T21:01:07.000Z | 2019-12-16T07:21:09.000Z | tests/test_exceptions/test_exceptions.py | ricohapi/ricoh-cloud-sdk-python | 740d778c678e6097e3c35478545cbf283276a7ee | [
"MIT"
] | null | null | null | tests/test_exceptions/test_exceptions.py | ricohapi/ricoh-cloud-sdk-python | 740d778c678e6097e3c35478545cbf283276a7ee | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017 Ricoh Co., Ltd. All Rights Reserved.
from unittest import TestCase
from ricohcloudsdk.exceptions import ClientError, ServerError
class TestSDKError(TestCase):
def __make_sdk_error_message(self, status_code, code='undefined', message='undefined'):
ERROR_TEMPLA... | 40.264368 | 118 | 0.630888 |
209ebcca233df3cff540ba1f5949787f1924a748 | 4,749 | py | Python | cosmic-core/test/integration/tests/test_vm_migration.py | sanderv32/cosmic | 9a9d86500b67255a1c743a9438a05c0d969fd210 | [
"Apache-2.0"
] | 64 | 2016-01-30T13:31:00.000Z | 2022-02-21T02:13:25.000Z | cosmic-core/test/integration/tests/test_vm_migration.py | sanderv32/cosmic | 9a9d86500b67255a1c743a9438a05c0d969fd210 | [
"Apache-2.0"
] | 525 | 2016-01-22T10:46:31.000Z | 2022-02-23T11:08:01.000Z | cosmic-core/test/integration/tests/test_vm_migration.py | sanderv32/cosmic | 9a9d86500b67255a1c743a9438a05c0d969fd210 | [
"Apache-2.0"
] | 25 | 2016-01-13T16:46:46.000Z | 2021-07-23T15:22:27.000Z | from cosmic.base import *
from cosmic.common import *
from cosmic.cosmicLog import CosmicLog
from cosmic.cosmicTestCase import cosmicTestCase
class TestVmMigration(cosmicTestCase):
@classmethod
def setUpClass(cls, redundant=False):
cls.class_cleanup = []
cls.logger = CosmicLog(CosmicLog.LOGGER... | 42.026549 | 134 | 0.619709 |
c183a4527519c4f7f32de0e781e5d8e9717b0e2e | 296 | py | Python | stubs/micropython-pyboard-1_13-95/hashlib.py | RonaldHiemstra/micropython-stubs | d97f879b01f6687baaebef1c7e26a80909c3cff3 | [
"MIT"
] | 38 | 2020-10-18T21:59:44.000Z | 2022-03-17T03:03:28.000Z | stubs/micropython-pyboard-1_13-95/hashlib.py | RonaldHiemstra/micropython-stubs | d97f879b01f6687baaebef1c7e26a80909c3cff3 | [
"MIT"
] | 176 | 2020-10-18T14:31:03.000Z | 2022-03-30T23:22:39.000Z | stubs/micropython-pyboard-1_13-95/hashlib.py | RonaldHiemstra/micropython-stubs | d97f879b01f6687baaebef1c7e26a80909c3cff3 | [
"MIT"
] | 6 | 2020-12-28T21:11:12.000Z | 2022-02-06T04:07:50.000Z | """
Module: 'hashlib' on pyboard 1.13.0-95
"""
# MCU: (sysname='pyboard', nodename='pyboard', release='1.13.0', version='v1.13-95-g0fff2e03f on 2020-10-03', machine='PYBv1.1 with STM32F405RG')
# Stubber: 1.3.4
class sha256:
''
def digest():
pass
def update():
pass
| 19.733333 | 145 | 0.60473 |
f6a422180b0dfbf62a353c7a5579b054abc01723 | 186,707 | py | Python | pandas/core/indexes/base.py | falcaopetri/pandas | 7673357191709036faad361cbb5f31a802703249 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 6 | 2021-01-06T04:28:46.000Z | 2021-11-24T01:40:20.000Z | pandas/core/indexes/base.py | falcaopetri/pandas | 7673357191709036faad361cbb5f31a802703249 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/core/indexes/base.py | falcaopetri/pandas | 7673357191709036faad361cbb5f31a802703249 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | from datetime import datetime
import operator
from textwrap import dedent
from typing import TYPE_CHECKING, Any, FrozenSet, Hashable, Union
import warnings
import numpy as np
from pandas._libs import algos as libalgos, index as libindex, lib
import pandas._libs.join as libjoin
from pandas._libs.lib import is_datetime... | 32.307839 | 88 | 0.560541 |
2e32cb41a530fd7b7174d641693f1f163ac6db27 | 1,067 | py | Python | reseaut/apps/profiles/migrations/0001_initial.py | koladev32/Beta | 30a889f0e62dbb2bf518c1bba78ecc3913783ba6 | [
"Apache-2.0"
] | null | null | null | reseaut/apps/profiles/migrations/0001_initial.py | koladev32/Beta | 30a889f0e62dbb2bf518c1bba78ecc3913783ba6 | [
"Apache-2.0"
] | 3 | 2021-10-06T05:49:36.000Z | 2022-02-18T12:57:20.000Z | reseaut/apps/profiles/migrations/0001_initial.py | koladev32/Beta | 30a889f0e62dbb2bf518c1bba78ecc3913783ba6 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.3 on 2019-07-28 04:01
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 32.333333 | 121 | 0.592315 |
a7fc464bd6bb7cf321f953ebda332ca0907557e3 | 595 | py | Python | scripts/data/nuc/pasteandrotate.py | abccdabfgc/simdjson | 4c132012e39c43a4b23f0db1edda0ce134c59cdb | [
"Apache-2.0"
] | null | null | null | scripts/data/nuc/pasteandrotate.py | abccdabfgc/simdjson | 4c132012e39c43a4b23f0db1edda0ce134c59cdb | [
"Apache-2.0"
] | null | null | null | scripts/data/nuc/pasteandrotate.py | abccdabfgc/simdjson | 4c132012e39c43a4b23f0db1edda0ce134c59cdb | [
"Apache-2.0"
] | null | null | null | import os
import csv
try: import pandas as pd
except ImportError:
import pip
pip.main(['install', '--user', 'pandas'])
import pandas as pd
def getdata(filename):
df = pd.read_csv(filename, delim_whitespace=True)
return (df["gb_per_s"].tolist())
ourdir=os.path.dirname(os.path.realpath(__file__))
a... | 24.791667 | 53 | 0.672269 |
a11f8cf525b5946f65c505f7c288fd8f9e161812 | 4,486 | py | Python | PYats/Genie/005_pyATS-Netbox_tests/utils/tests.py | CalvinDawgz/Python-Projects | cc5d1e93bcbe124c1864a49cc3dfbca7db520928 | [
"MIT"
] | 1 | 2021-07-10T09:22:55.000Z | 2021-07-10T09:22:55.000Z | PYats/Genie/005_pyATS-Netbox_tests/utils/tests.py | CalvinDawgz/Python-Projects | cc5d1e93bcbe124c1864a49cc3dfbca7db520928 | [
"MIT"
] | null | null | null | PYats/Genie/005_pyATS-Netbox_tests/utils/tests.py | CalvinDawgz/Python-Projects | cc5d1e93bcbe124c1864a49cc3dfbca7db520928 | [
"MIT"
] | null | null | null | def verify_interface_enabled(netbox_interfaces, pyats_interfaces):
"""Verifies whether the current interface state matches what's in NetBox
Args:
netbox_interface: Interfaces for a given device in NetBox
pyats_interfaces: Current interfaces on a device
Returns:
results: Dictionary ... | 47.221053 | 146 | 0.570218 |
31e79dfb0e80ad4cae96930c5af559507cdbee07 | 11,835 | py | Python | models/encoder_inception_v4.py | yangsuhui/Attention_ocr_recognition | 360aac324573092f5afea924d6548fa2ddf6c4e9 | [
"MIT"
] | 3 | 2020-11-06T08:16:06.000Z | 2021-09-14T09:27:45.000Z | models/encoder_inception_v4.py | yangsuhui/Attention_ocr_recognition | 360aac324573092f5afea924d6548fa2ddf6c4e9 | [
"MIT"
] | null | null | null | models/encoder_inception_v4.py | yangsuhui/Attention_ocr_recognition | 360aac324573092f5afea924d6548fa2ddf6c4e9 | [
"MIT"
] | 1 | 2021-06-20T18:52:06.000Z | 2021-06-20T18:52:06.000Z | from __future__ import print_function, division, absolute_import
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
import os
import sys
__all__ = ['InceptionV4', 'inceptionv4']
pretrained_settings = {
'inceptionv4': {
'imagenet': {
... | 33.058659 | 95 | 0.56147 |
ad48ca65a99ee596edd8c14143e57055eacbce6f | 245 | py | Python | Chapter 09/Chap09_Example9.20.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 09/Chap09_Example9.20.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | Chapter 09/Chap09_Example9.20.py | Anancha/Programming-Techniques-using-Python | e80c329d2a27383909d358741a5cab03cb22fd8b | [
"MIT"
] | null | null | null | with open('readinput.txt') as myfile1:
print(myfile1.tell()) # T1
print("-----------")
print(myfile1.read(4)) # T2
print(myfile1.tell()) # T3
print("-----------")
print(myfile1.read()) # T4
print(myfile1.tell()) # T5
| 27.222222 | 38 | 0.530612 |
d7cf740d603957e0a915500703af07c95bb8f3a7 | 4,925 | py | Python | app/api/helpers/constants.py | lunyamwis/laylinks-bend | 04ff9ebb5da482e5b2642a89654a5b5f0128eaaa | [
"MIT"
] | null | null | null | app/api/helpers/constants.py | lunyamwis/laylinks-bend | 04ff9ebb5da482e5b2642a89654a5b5f0128eaaa | [
"MIT"
] | null | null | null | app/api/helpers/constants.py | lunyamwis/laylinks-bend | 04ff9ebb5da482e5b2642a89654a5b5f0128eaaa | [
"MIT"
] | null | null | null | USER_REQUIRED_FIELD = ['first_name', 'last_name',
'username', 'email', 'password', 'phone_number']
EMPLOYEE_REQUIRED_FIELD = ['first_name', 'last_name', "email"]
INDIVIDUAL_CLIENT_REQUIRED_FIELD = ['first_name', 'last_name', 'gender']
BLOG_REQUIRED_FIELD = ['title','post','summary']
CORPORATE_CLI... | 80.737705 | 130 | 0.637766 |
be7ec4dcd7225878b0e3d112be94236ddc52f45d | 10,402 | py | Python | sahara/context.py | esikachev/sahara-backup | a470fa6aec5f1009d41d82fabc1e5d64874aa213 | [
"Apache-2.0"
] | null | null | null | sahara/context.py | esikachev/sahara-backup | a470fa6aec5f1009d41d82fabc1e5d64874aa213 | [
"Apache-2.0"
] | null | null | null | sahara/context.py | esikachev/sahara-backup | a470fa6aec5f1009d41d82fabc1e5d64874aa213 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2013 Mirantis 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 law or agreed to in writ... | 30.775148 | 78 | 0.622092 |
38f542cdd53fae9f7d670316f1b796ca1e9fa17a | 241 | py | Python | draugr/drawers/mpl_drawers/spectral/__init__.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 3 | 2019-09-27T08:04:59.000Z | 2020-12-02T06:14:45.000Z | draugr/drawers/mpl_drawers/spectral/__init__.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 64 | 2019-09-27T08:03:42.000Z | 2022-03-28T15:07:30.000Z | draugr/drawers/mpl_drawers/spectral/__init__.py | cnHeider/draugr | b95e0bb1fa5efa581bfb28ff604f296ed2e6b7d6 | [
"Apache-2.0"
] | 1 | 2020-10-01T00:18:57.000Z | 2020-10-01T00:18:57.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = "Christian Heider Nielsen"
__doc__ = r"""
Created on 03/04/2020
"""
from .fast_fourier_transform import *
from .fast_fourier_transform_spectrogram import *
| 20.083333 | 49 | 0.659751 |
e5d95e711a7485f9534860fa422255585c8fe0ba | 2,510 | py | Python | geography/management/commands/bootstrap_geom_hi.py | The-Politico/politico-civic-geography | 032b3ee773b50b65cfe672f230dda772df0f89e0 | [
"MIT"
] | 1 | 2018-07-31T13:54:38.000Z | 2018-07-31T13:54:38.000Z | geography/management/commands/bootstrap_geom_hi.py | The-Politico/politico-civic-geography | 032b3ee773b50b65cfe672f230dda772df0f89e0 | [
"MIT"
] | 7 | 2018-04-18T20:57:40.000Z | 2021-06-10T20:50:40.000Z | geography/management/commands/bootstrap_geom_hi.py | The-Politico/politico-civic-geography | 032b3ee773b50b65cfe672f230dda772df0f89e0 | [
"MIT"
] | 1 | 2018-12-15T20:17:52.000Z | 2018-12-15T20:17:52.000Z | import os
import geojson
import shapefile
from django.core.management.base import BaseCommand
from geography.models import Division, DivisionLevel, Geometry
from geography.utils.lookups import county_lookup
from .bootstrap._arguments import ArgumentsMethods
from .bootstrap._attributes import Attributes
from .bootstra... | 33.026316 | 102 | 0.59004 |
e306f300b5a6114510052fbb3d04393324526000 | 837 | gyp | Python | binding.gyp | SlimIO/Nixfs | 20e198c96231485197ff60161f3c71c70cbc01d1 | [
"MIT"
] | null | null | null | binding.gyp | SlimIO/Nixfs | 20e198c96231485197ff60161f3c71c70cbc01d1 | [
"MIT"
] | 115 | 2019-10-01T17:28:19.000Z | 2021-08-02T04:46:26.000Z | binding.gyp | SlimIO/Nixfs | 20e198c96231485197ff60161f3c71c70cbc01d1 | [
"MIT"
] | null | null | null | {
"targets": [
{
"target_name": "nixfs",
"sources": [
"nixfs.cpp"
],
"include_dirs": [
"include",
"<!@(node -p \"require('node-addon-api').include\")"
],
"dependencies": [
... | 27.9 | 68 | 0.364397 |
80607331a1ffa3f85ff0e958a0bc12aa4904daab | 16,738 | py | Python | compiler/pgates/pnand4.py | im-world/OpenRAM | f66aac3264598eeae31225c62b6a4af52412d407 | [
"BSD-3-Clause"
] | 335 | 2018-03-13T21:05:22.000Z | 2022-03-30T07:53:25.000Z | compiler/pgates/pnand4.py | im-world/OpenRAM | f66aac3264598eeae31225c62b6a4af52412d407 | [
"BSD-3-Clause"
] | 87 | 2018-03-06T00:55:51.000Z | 2022-03-30T19:38:29.000Z | compiler/pgates/pnand4.py | im-world/OpenRAM | f66aac3264598eeae31225c62b6a4af52412d407 | [
"BSD-3-Clause"
] | 95 | 2018-03-14T16:22:55.000Z | 2022-03-24T00:34:37.000Z | # See LICENSE for licensing information.
#
# Copyright (c) 2016-2021 Regents of the University of California and The Board
# of Regents for the Oklahoma Agricultural and Mechanical College
# (acting for and on behalf of Oklahoma State University)
# All rights reserved.
#
import pgate
import debug
from tech import drc, ... | 42.590331 | 121 | 0.539252 |
6efe3cf78e53cb52649e15717cd3d21439a353f2 | 15,463 | py | Python | config_custom_ruleset_lambda_fucntions/AMI_NOT_PUBLIC_CHECK/AMI_NOT_PUBLIC_CHECK.py | aditya-/DevSecOps_Cloud_Automation_AWS | 1b0c1f4a20f17648595819b3e31370840a56db6a | [
"MIT"
] | 3 | 2019-09-02T14:24:49.000Z | 2022-02-23T16:22:12.000Z | config_custom_ruleset_lambda_fucntions/AMI_NOT_PUBLIC_CHECK/AMI_NOT_PUBLIC_CHECK.py | aditya-/DevSecOps_Cloud_Automation_AWS | 1b0c1f4a20f17648595819b3e31370840a56db6a | [
"MIT"
] | null | null | null | config_custom_ruleset_lambda_fucntions/AMI_NOT_PUBLIC_CHECK/AMI_NOT_PUBLIC_CHECK.py | aditya-/DevSecOps_Cloud_Automation_AWS | 1b0c1f4a20f17648595819b3e31370840a56db6a | [
"MIT"
] | 1 | 2019-10-14T19:38:48.000Z | 2019-10-14T19:38:48.000Z |
'''
#####################################
## Gherkin ##
#####################################
Rule Name:
AMI_NOT_PUBLIC_CHECK
Description:
Check whether the Amazon Machine Images are not publicly accessible. The rule is NON_COMPLIANT if one or more Amazon Machine Images are publicly access... | 42.833795 | 178 | 0.706267 |
b9970fbcb4163a4c8ec99dca7fd36bd2a6e95059 | 438 | py | Python | python/rabbit/Scripts/easy_install-script.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | 1 | 2021-01-24T02:07:34.000Z | 2021-01-24T02:07:34.000Z | python/rabbit/Scripts/easy_install-script.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | null | null | null | python/rabbit/Scripts/easy_install-script.py | kindrabbit/programming | 2c9b7e24e33ecc174c2efb51727b3886ebc00acf | [
"Apache-2.0"
] | null | null | null | #!E:\thomas_program\python\rabbit\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install'
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '',... | 33.692308 | 83 | 0.694064 |
ddc2ee85ae38761d55a9f35e1161725df1c47108 | 1,196 | py | Python | hello_network.py | xlsong2002/test | ddaacb2669637b5355d69cd9c788cc8fe261df45 | [
"MIT"
] | 2 | 2021-02-16T19:19:01.000Z | 2021-05-07T04:50:43.000Z | hello_network.py | xlsong2002/test | ddaacb2669637b5355d69cd9c788cc8fe261df45 | [
"MIT"
] | null | null | null | hello_network.py | xlsong2002/test | ddaacb2669637b5355d69cd9c788cc8fe261df45 | [
"MIT"
] | 15 | 2019-03-26T08:55:38.000Z | 2022-02-19T21:10:46.000Z | #!/usr/bin/env python
"""Simple hello world (network) script.
Script Dependencies:
none
Copyright (c) 2018 Cisco and/or its affiliates.
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 witho... | 39.866667 | 78 | 0.79097 |
fd4f84f3ec61fbebc171abbca59803df686df1a0 | 1,666 | py | Python | tools/picker/blades/console/write.py | laurent-malvert/lemona | 0b8b6364932c1e8865b3cdfd0f475cbff7584ab2 | [
"X11",
"MIT"
] | null | null | null | tools/picker/blades/console/write.py | laurent-malvert/lemona | 0b8b6364932c1e8865b3cdfd0f475cbff7584ab2 | [
"X11",
"MIT"
] | null | null | null | tools/picker/blades/console/write.py | laurent-malvert/lemona | 0b8b6364932c1e8865b3cdfd0f475cbff7584ab2 | [
"X11",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
##
## This file is part of Lemona.
## Copyright (C) 2008 Kenfe-Mickaël Laventure
##
## The contents of this file are subject to the terms of either the
## GNU General Public License Version 2 ("GPL") or the MIT License
## (collectively, the "License"). You may not use this file except in
## comp... | 33.32 | 69 | 0.617647 |
a97e7ab2a971714f69c593ec404449aca01062ab | 7,276 | py | Python | splunk-custom.py | ashbyca/rsc-admin | 7af545930ecce054befe2b076a36ef45d3077119 | [
"MIT"
] | null | null | null | splunk-custom.py | ashbyca/rsc-admin | 7af545930ecce054befe2b076a36ef45d3077119 | [
"MIT"
] | 1 | 2018-12-19T17:19:51.000Z | 2018-12-19T17:20:09.000Z | splunk-custom.py | ashbyca/misc-scripts | 7af545930ecce054befe2b076a36ef45d3077119 | [
"MIT"
] | null | null | null | ############## CONFIGURATION ########################################################################
'''
The purpose of this custom python code is to create PTR / TRAP Alerts from Splunk Alerts
Step 1: Upload this code to Main Menu -> Scripts -> ETL Scripts
Step 2: Create a PTR Scripted Listener Event Source
Step ... | 48.506667 | 146 | 0.669874 |
a2bb2f1f961189d04343533e8367c3b4dc753b2d | 17,600 | py | Python | neutron/tests/fullstack/resources/environment.py | tankertyp/openstack-learning | d729672663f170d0138ecf23b3c23df225c1b1b8 | [
"Apache-2.0"
] | null | null | null | neutron/tests/fullstack/resources/environment.py | tankertyp/openstack-learning | d729672663f170d0138ecf23b3c23df225c1b1b8 | [
"Apache-2.0"
] | null | null | null | neutron/tests/fullstack/resources/environment.py | tankertyp/openstack-learning | d729672663f170d0138ecf23b3c23df225c1b1b8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 Red Hat, 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 law or agre... | 38.76652 | 79 | 0.648977 |
54496375b538ae3aad7296d7d31b61a717ab0968 | 6,804 | py | Python | test/functional/rpc_getblockstats.py | Sebz84/ain | 451abddc7802ac4ee4dbf30117ca074414f4fdca | [
"MIT"
] | null | null | null | test/functional/rpc_getblockstats.py | Sebz84/ain | 451abddc7802ac4ee4dbf30117ca074414f4fdca | [
"MIT"
] | null | null | null | test/functional/rpc_getblockstats.py | Sebz84/ain | 451abddc7802ac4ee4dbf30117ca074414f4fdca | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-2019 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
#
# Test getblockstats rpc call
#
from test_framework.test_framework import DefiTestFramework
from test_f... | 42 | 121 | 0.628307 |
c3927997db889ca25dd55f32867b6afa548a7624 | 8,430 | py | Python | src/cmdlib.py | barthy1/coreos-assembler | bd3c26292b2e7aae8d8fa026488abff56e8cd8f0 | [
"Apache-2.0"
] | null | null | null | src/cmdlib.py | barthy1/coreos-assembler | bd3c26292b2e7aae8d8fa026488abff56e8cd8f0 | [
"Apache-2.0"
] | null | null | null | src/cmdlib.py | barthy1/coreos-assembler | bd3c26292b2e7aae8d8fa026488abff56e8cd8f0 | [
"Apache-2.0"
] | null | null | null | # Python version of cmdlib.sh
"""
Houses helper code for python based coreos-assembler commands.
"""
import hashlib
import json
import os
import subprocess
import sys
import tempfile
import gi
import semver
gi.require_version("RpmOstree", "1.0")
from gi.repository import RpmOstree
from datetime import datetime
def... | 29.578947 | 79 | 0.598102 |
d9d2f6ef162ea75429facf55e74304c213f45805 | 1,198 | py | Python | tests/test_pitch.py | Derrick-Nyongesa/Blog | aff6b97aac958e6f626c934c57fffba1bb1f845d | [
"MIT"
] | null | null | null | tests/test_pitch.py | Derrick-Nyongesa/Blog | aff6b97aac958e6f626c934c57fffba1bb1f845d | [
"MIT"
] | null | null | null | tests/test_pitch.py | Derrick-Nyongesa/Blog | aff6b97aac958e6f626c934c57fffba1bb1f845d | [
"MIT"
] | null | null | null | import unittest
from app.models import Pitch,User,Comment
from app import db
class TestPost(unittest.TestCase):
def setUp(self):
self.user_Daniel = User(username = 'Daniel',password = 'daniel', email = 'daniel@ms.com')
self.new_pitch = Pitch(id=1, category = 'interview',title = 'promotion', pitch =... | 39.933333 | 162 | 0.688648 |
1c16f96d3d643557793f8609ab342e4b9ba61332 | 5,735 | py | Python | elliot/recommender/latent_factor_models/FM/factorization_machine.py | deklanw/elliot | 729871d29093f63c3fe30d54bc42669fd16eb662 | [
"Apache-2.0"
] | null | null | null | elliot/recommender/latent_factor_models/FM/factorization_machine.py | deklanw/elliot | 729871d29093f63c3fe30d54bc42669fd16eb662 | [
"Apache-2.0"
] | null | null | null | elliot/recommender/latent_factor_models/FM/factorization_machine.py | deklanw/elliot | 729871d29093f63c3fe30d54bc42669fd16eb662 | [
"Apache-2.0"
] | null | null | null | """
Module description:
"""
__version__ = '0.1'
__author__ = 'Vito Walter Anelli, Claudio Pomo, Daniele Malitesta, Antonio Ferrara'
__email__ = 'vitowalter.anelli@poliba.it, claudio.pomo@poliba.it,' \
'daniele.malitesta@poliba.it, antonio.ferrara@poliba.it'
import pickle
import numpy as np
from tqdm im... | 39.280822 | 120 | 0.604359 |
3f317052dcb126beb42b5a8472bbeedc9daac3ee | 181 | py | Python | deepmux/templates.py | Deep-Mux/deepmux-cli | ff147259ffb1b0bef613f9b15e4e029fb859d797 | [
"MIT"
] | 4 | 2020-11-23T18:56:25.000Z | 2021-03-19T23:38:24.000Z | deepmux/templates.py | Deep-Mux/deepmux-cli | ff147259ffb1b0bef613f9b15e4e029fb859d797 | [
"MIT"
] | null | null | null | deepmux/templates.py | Deep-Mux/deepmux-cli | ff147259ffb1b0bef613f9b15e4e029fb859d797 | [
"MIT"
] | null | null | null | python_function_basic = """name: <function name>
env: <function env>
python:
call: <required, module:function to call>
# requirements: <optional, path to requirements.txt>
"""
| 25.857143 | 54 | 0.718232 |
82251aa5cefa9ed7f9a6ff69ed68caf447e5b3a8 | 1,582 | py | Python | tests/scanning/test_strings.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 2 | 2021-12-18T01:52:50.000Z | 2022-01-17T19:41:52.000Z | tests/scanning/test_strings.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | 18 | 2021-11-30T04:05:53.000Z | 2022-02-01T03:30:04.000Z | tests/scanning/test_strings.py | sco1/pylox | b4820828306c20cee3f8533c2547fafb92c6c1bd | [
"MIT"
] | null | null | null | from textwrap import dedent
import pytest_check as check
from pylox.lox import Lox
from pylox.scanner import Scanner
from pylox.tokens import Token, TokenType
# Base test cases from https://github.com/munificent/craftinginterpreters/blob/master/test/scanning/strings.lox
TEST_SRC = dedent(
"""\
""
"string... | 20.815789 | 111 | 0.573957 |
2846baa17e5ab7204d1f59aff523ecfc2b3dccdb | 3,252 | py | Python | openregistry/lots/loki/constants.py | kukirokuk/openregistry.lots.loki | 0467fc881ad0bf31c40cd85adad49e5df14544df | [
"Apache-2.0"
] | null | null | null | openregistry/lots/loki/constants.py | kukirokuk/openregistry.lots.loki | 0467fc881ad0bf31c40cd85adad49e5df14544df | [
"Apache-2.0"
] | null | null | null | openregistry/lots/loki/constants.py | kukirokuk/openregistry.lots.loki | 0467fc881ad0bf31c40cd85adad49e5df14544df | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from datetime import timedelta
AUCTION_STATUSES = ['scheduled', 'active', 'complete', 'unsuccessful', 'cancelled']
LOT_STATUSES = [
"draft", "composing", "verification", "pending", "pending.deleted", "deleted", "active.salable",
"active.auction", "active.contracting", "pending.sold"... | 29.297297 | 114 | 0.551661 |
c7ba59b6cd1044bd5807ffa7d4a4d0ec2ff5f793 | 436 | py | Python | aiogram/types/photo_size.py | victorusachev/aiogram | 9571669ca4b06165031d8f9830130f3c638b60d8 | [
"MIT"
] | 3 | 2020-12-06T16:55:53.000Z | 2021-11-19T19:25:57.000Z | aiogram/types/photo_size.py | Kylmakalle/aiogram | 550c41e1752aa08c493d7cb4ec5fec402d8e849c | [
"MIT"
] | 1 | 2019-10-18T19:33:20.000Z | 2019-10-18T19:33:20.000Z | aiogram/types/photo_size.py | Kylmakalle/aiogram | 550c41e1752aa08c493d7cb4ec5fec402d8e849c | [
"MIT"
] | 2 | 2020-12-30T09:51:30.000Z | 2021-11-10T16:50:28.000Z | from . import base
from . import fields
from . import mixins
class PhotoSize(base.TelegramObject, mixins.Downloadable):
"""
This object represents one size of a photo or a file / sticker thumbnail.
https://core.telegram.org/bots/api#photosize
"""
file_id: base.String = fields.Field()
width: b... | 27.25 | 77 | 0.697248 |
68c0b607e9e93ffc59b20a7f37b59da58688b642 | 2,138 | py | Python | tests/build/scipy/scipy/io/tests/test_fortran.py | crougeux/-a-i_v1.6.3_modif | b499a812e79f335d082d3f9b1070e0465ad67bab | [
"BSD-3-Clause"
] | 26 | 2018-02-14T23:52:58.000Z | 2021-08-16T13:50:03.000Z | tests/build/scipy/scipy/io/tests/test_fortran.py | crougeux/-a-i_v1.6.3_modif | b499a812e79f335d082d3f9b1070e0465ad67bab | [
"BSD-3-Clause"
] | null | null | null | tests/build/scipy/scipy/io/tests/test_fortran.py | crougeux/-a-i_v1.6.3_modif | b499a812e79f335d082d3f9b1070e0465ad67bab | [
"BSD-3-Clause"
] | 10 | 2018-08-13T19:38:39.000Z | 2020-04-19T03:02:00.000Z | ''' Tests for fortran sequential files '''
import tempfile
import shutil
from os import path
from glob import iglob
import re
from numpy.testing import assert_equal
import numpy as np
from scipy.io import FortranFile
DATA_PATH = path.join(path.dirname(__file__), 'data')
def test_fortranfiles_read():
for file... | 32.892308 | 80 | 0.543966 |
81533c33e0bb937df2eaa7714af282381a69f866 | 704 | py | Python | API/V1/Python/API.V1.RPC.Client.Python.Example/API.V1.RPC.Client.Python.Example.py | multiplayground/DotNet.Common | f8f9c701e111849930ff99e4b48ae2d4640c7db5 | [
"Apache-2.0"
] | null | null | null | API/V1/Python/API.V1.RPC.Client.Python.Example/API.V1.RPC.Client.Python.Example.py | multiplayground/DotNet.Common | f8f9c701e111849930ff99e4b48ae2d4640c7db5 | [
"Apache-2.0"
] | 7 | 2019-04-30T16:40:03.000Z | 2019-05-14T19:35:53.000Z | API/V1/Python/API.V1.RPC.Client.Python.Example/API.V1.RPC.Client.Python.Example.py | multiplayground/DotNet.Common | f8f9c701e111849930ff99e4b48ae2d4640c7db5 | [
"Apache-2.0"
] | 2 | 2019-04-16T12:37:37.000Z | 2019-04-30T21:23:28.000Z | #!/usr/bin/env python
from RpcClient import RpcClient
import asyncio
import os #https://stackoverflow.com/questions/4906977/how-to-access-environment-variable-values
def getEnvUserPass(userDef="guest", passDef="guest",)->(str,str):
theUser = os.getenv('RabbitMQ_User', userDef)
thePass = os.getenv('RabbitMQ_Pas... | 35.2 | 96 | 0.697443 |
34939d48437bdf1552e4330805d7bc4573877a9e | 15,345 | py | Python | projects/ISTR/istr/util/misc.py | braindevices/ISTR | 520b0d410ba8be5dbf53971d962b0bfcf072a7c0 | [
"Apache-2.0"
] | null | null | null | projects/ISTR/istr/util/misc.py | braindevices/ISTR | 520b0d410ba8be5dbf53971d962b0bfcf072a7c0 | [
"Apache-2.0"
] | null | null | null | projects/ISTR/istr/util/misc.py | braindevices/ISTR | 520b0d410ba8be5dbf53971d962b0bfcf072a7c0 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import os
import subprocess
import time
from collections import defaultdict, deque
import datetime
import pickle
from typing import Optional, List... | 32.788462 | 116 | 0.608407 |
884d11f4da2bbc23f410fb594593d284190978f5 | 13,487 | py | Python | src/manual_solve.py | PDorrian/ARC | ae075225e19a5f721eee8f55fb9d36ba0b882ccd | [
"Apache-2.0"
] | null | null | null | src/manual_solve.py | PDorrian/ARC | ae075225e19a5f721eee8f55fb9d36ba0b882ccd | [
"Apache-2.0"
] | null | null | null | src/manual_solve.py | PDorrian/ARC | ae075225e19a5f721eee8f55fb9d36ba0b882ccd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import os, sys
import json
import numpy as np
import re
### YOUR CODE HERE: write at least three functions which solve
### specific tasks by transforming the input x and returning the
### result. Name them according to the task ID as in the three
### examples below. Delete the three examples. The ta... | 39.092754 | 120 | 0.623638 |
fa66658feed6a628150b6e8c80870987509fe95f | 15,121 | py | Python | aiohttp/web.py | mihajenko/aiohttp | 1016f552a0962c2a71e72e2212d3ca1051a3f53e | [
"Apache-2.0"
] | 49 | 2019-07-11T13:13:02.000Z | 2022-03-26T14:46:23.000Z | aiohttp/web.py | mihajenko/aiohttp | 1016f552a0962c2a71e72e2212d3ca1051a3f53e | [
"Apache-2.0"
] | 26 | 2019-07-18T15:32:20.000Z | 2022-03-13T10:34:52.000Z | aiohttp/web.py | mihajenko/aiohttp | 1016f552a0962c2a71e72e2212d3ca1051a3f53e | [
"Apache-2.0"
] | 26 | 2019-08-02T08:11:21.000Z | 2022-03-31T10:14:21.000Z | import asyncio
import logging
import socket
import sys
from argparse import ArgumentParser
from collections.abc import Iterable
from importlib import import_module
from typing import Any, Awaitable, Callable, List, Optional, Type, Union, cast
from .abc import AbstractAccessLogger
from .helpers import all_tasks
from .l... | 31.17732 | 79 | 0.587329 |
793455b6242409c3d4df7512aa847d43e9236e9a | 4,462 | py | Python | osr2mp4/osrparse/replay.py | spaceskynet/osr2mp4-core | 373e0fe3545a0eccfb4cc528b968e3e8e39857f2 | [
"MIT"
] | 103 | 2020-06-07T15:28:41.000Z | 2022-03-01T17:07:35.000Z | osr2mp4/osrparse/replay.py | spaceskynet/osr2mp4-core | 373e0fe3545a0eccfb4cc528b968e3e8e39857f2 | [
"MIT"
] | 50 | 2020-06-07T10:53:21.000Z | 2021-12-19T14:47:47.000Z | osr2mp4/osrparse/replay.py | spaceskynet/osr2mp4-core | 373e0fe3545a0eccfb4cc528b968e3e8e39857f2 | [
"MIT"
] | 21 | 2020-07-12T16:02:35.000Z | 2022-03-01T17:07:37.000Z | import _lzma
from osr2mp4.Exceptions import NoDataReplay
from osr2mp4.osrparse.enums import GameMode, Mod
import lzma, struct, datetime
class ReplayEvent(object):
def __init__(self, time_since_previous_action, x, y, keys_pressed):
self.time_since_previous_action = time_since_previous_action
self.x = x
self.y ... | 23.239583 | 95 | 0.68736 |
2d80f954b9490b405b47dd6d6e0f064fee4543a7 | 313 | py | Python | models/__init__.py | giuseppechecchia/frmoda-barcode-checker | 1d3c5b97aae23b70057f71a2026ef9b47d42261c | [
"Unlicense"
] | null | null | null | models/__init__.py | giuseppechecchia/frmoda-barcode-checker | 1d3c5b97aae23b70057f71a2026ef9b47d42261c | [
"Unlicense"
] | null | null | null | models/__init__.py | giuseppechecchia/frmoda-barcode-checker | 1d3c5b97aae23b70057f71a2026ef9b47d42261c | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
###############################################################################
# Copyleft (K) 2020-2022
# Developer: Giuseppe Checchia @eldoleo (<https://github.com/giuseppechecchia>)
###############################################################################
from . import barcode_checker | 44.714286 | 79 | 0.370607 |
37755996135eecf9eb4ea88e48b9dbc15cec53ad | 11,207 | py | Python | src/robot/running/handlers.py | christestet/robotframework | 94e1206bf259bae4c752b5a19d6f875c63934e82 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/robot/running/handlers.py | christestet/robotframework | 94e1206bf259bae4c752b5a19d6f875c63934e82 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2022-03-01T12:28:43.000Z | 2022-03-01T12:28:43.000Z | src/robot/running/handlers.py | greck2908/robotframework | 94e1206bf259bae4c752b5a19d6f875c63934e82 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework Foundation
#
# 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
... | 36.03537 | 86 | 0.658249 |
a4507eb176fd80ebc5ad51b1f84df59d787e60e3 | 4,300 | py | Python | benchmark/startQiskit1291.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit1291.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit1291.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=5
# total number=52
import cirq
import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import FakeVigo
from math import log2,floor, sqrt, pi
import numpy as np
import networkx as ... | 32.330827 | 82 | 0.614186 |
5b4ef6c33fa07afbda2d1c26146ceddbddf63fc2 | 3,844 | py | Python | hc/ui/monitor/monitor.py | sorki/hacked_cnc | cbdae71f350fb56cd8cc7bd911c4673e98b6adf0 | [
"BSD-3-Clause"
] | 2 | 2017-01-25T21:14:16.000Z | 2017-11-16T09:25:38.000Z | hc/ui/monitor/monitor.py | sorki/hacked_cnc | cbdae71f350fb56cd8cc7bd911c4673e98b6adf0 | [
"BSD-3-Clause"
] | null | null | null | hc/ui/monitor/monitor.py | sorki/hacked_cnc | cbdae71f350fb56cd8cc7bd911c4673e98b6adf0 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python2
import sys
from PyQt5.QtCore import pyqtSlot, QTimer
from PyQt5.QtGui import QColor, QTextCursor
from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QFileDialog
from PyQt5.uic import loadUi
from PyQt5.QtNetwork import QTcpSocket, QAbstractSocket
class Main(QMainWindow):
def __init... | 28.902256 | 78 | 0.577784 |
01a745276ae2bd46384a1db0669e10f6d99293b5 | 3,162 | py | Python | settings.py | BertrandWiart/farmbot2019eseo | 3502f308f94e5e4f970d5d9dae1a1f1ebb9c60dc | [
"MIT"
] | null | null | null | settings.py | BertrandWiart/farmbot2019eseo | 3502f308f94e5e4f970d5d9dae1a1f1ebb9c60dc | [
"MIT"
] | null | null | null | settings.py | BertrandWiart/farmbot2019eseo | 3502f308f94e5e4f970d5d9dae1a1f1ebb9c60dc | [
"MIT"
] | null | null | null | from farmware_tools import device
commands = {
'rq_connect' : 1,
'rsp_connectSuccess' : 2,
'rsp_connectFail' : 3
}
#IP = "localhost"
IP = "172.14.1.23"
PORT = 36100
PASS = "farmbot"
def sendMsg(socket, order, msg="", encoding="utf-8"):
device.log(message='Setting sending message !', message_type='su... | 27.982301 | 89 | 0.555028 |
697ee47700613aab777605a07fb4094759db7f39 | 2,179 | py | Python | setup.py | MikeHart85/lewis_ophyd_playground | 8568e98deefc6a8cea5510165f5afe9679fcf3df | [
"BSD-3-Clause"
] | null | null | null | setup.py | MikeHart85/lewis_ophyd_playground | 8568e98deefc6a8cea5510165f5afe9679fcf3df | [
"BSD-3-Clause"
] | null | null | null | setup.py | MikeHart85/lewis_ophyd_playground | 8568e98deefc6a8cea5510165f5afe9679fcf3df | [
"BSD-3-Clause"
] | null | null | null | from os import path
from setuptools import setup, find_packages
import sys
import versioneer
# NOTE: This file must remain Python 2 compatible for the foreseeable future,
# to ensure that we error out properly for people with outdated setuptools
# and/or pip.
min_version = (3, 6)
if sys.version_info < min_version:
... | 32.044118 | 77 | 0.673245 |
855ea2648de4926f8259268b541e7400d99a6cef | 1,748 | py | Python | speech-emotion/speech-emotion-model.py | jinwkim/emotion-detection | 54eec1ebdb9622adb3149662ca1e9d85ce1caaea | [
"MIT"
] | null | null | null | speech-emotion/speech-emotion-model.py | jinwkim/emotion-detection | 54eec1ebdb9622adb3149662ca1e9d85ce1caaea | [
"MIT"
] | null | null | null | speech-emotion/speech-emotion-model.py | jinwkim/emotion-detection | 54eec1ebdb9622adb3149662ca1e9d85ce1caaea | [
"MIT"
] | null | null | null | import numpy as np
from pydub import AudioSegment, effects
import librosa
import noisereduce as nr
import tensorflow as tf
import keras
from keras.models import Sequential
from keras import layers
from keras import optimizers
from keras import callbacks
import sklearn
from sklearn.model_selection import train_test_... | 30.666667 | 106 | 0.765446 |
6a1e87581bec232bd41ab3f2a6ea7de76fc8ddca | 31,374 | py | Python | ST_spectrum/Ui_ST_main.py | cygnushan/measurement | 644e8b698faf50dcc86d88834675d6adf1281b10 | [
"MIT"
] | 1 | 2022-03-18T18:38:02.000Z | 2022-03-18T18:38:02.000Z | ST_spectrum/Ui_ST_main.py | cygnushan/measurement | 644e8b698faf50dcc86d88834675d6adf1281b10 | [
"MIT"
] | null | null | null | ST_spectrum/Ui_ST_main.py | cygnushan/measurement | 644e8b698faf50dcc86d88834675d6adf1281b10 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'G:\WorkDir\gas-sensing_resistors\ST_spectrum\ST_main.ui'
#
# Created: Tue Jan 19 22:08:53 2016
# by: PyQt4 UI code generator 4.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
from Rtime_mp... | 54 | 113 | 0.710365 |
b0f3b11ce3e1a44bff9b18c8a3c6ca4198257fd9 | 13,941 | py | Python | models/networks.py | xyang35/pytorch-CycleGAN-and-pix2pix | 315e3d63e23e65bfd9440e2848bbfbcc901f0b37 | [
"BSD-3-Clause"
] | 11 | 2019-04-12T09:18:02.000Z | 2022-02-02T05:54:38.000Z | models/networks.py | richzhang/pytorch-CycleGAN-and-pix2pix | e9146a659a896fc71ebf59cc57248449091e8d16 | [
"BSD-3-Clause"
] | null | null | null | models/networks.py | richzhang/pytorch-CycleGAN-and-pix2pix | e9146a659a896fc71ebf59cc57248449091e8d16 | [
"BSD-3-Clause"
] | 2 | 2021-10-21T05:56:47.000Z | 2022-02-08T10:41:18.000Z | import torch
import torch.nn as nn
from torch.autograd import Variable
import numpy as np
###############################################################################
# Functions
###############################################################################
def weights_init(m):
classname = m.__class__.__name... | 38.404959 | 122 | 0.58848 |
8f78632895a03c931da2270520b73966a6919f69 | 19,178 | py | Python | test/functional/wallet_address_types.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | test/functional/wallet_address_types.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | test/functional/wallet_address_types.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-2020 The Elixir Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test that the wallet can send and receive using all combinations of address types.
There are 5 nodes-un... | 50.73545 | 205 | 0.640682 |
2b3df1855760478a3552e05abb8546bce843bcd8 | 928 | py | Python | airylib/NetworkManager.py | kickingvegas/airy | 672d16a14a59e9ef07f8861687b1f775dcb32588 | [
"Apache-2.0"
] | 2 | 2020-10-14T15:43:13.000Z | 2020-10-17T19:58:51.000Z | airylib/NetworkManager.py | kickingvegas/airy | 672d16a14a59e9ef07f8861687b1f775dcb32588 | [
"Apache-2.0"
] | null | null | null | airylib/NetworkManager.py | kickingvegas/airy | 672d16a14a59e9ef07f8861687b1f775dcb32588 | [
"Apache-2.0"
] | null | null | null | ##
# Copyright 2020 Charles Y. Choi
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 28.121212 | 74 | 0.697198 |
e87927180fe6bb9148daf66dc2dfd8f83b23004b | 10,632 | py | Python | framework/CodeInterfaces/Generic/GenericParser.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | framework/CodeInterfaces/Generic/GenericParser.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | framework/CodeInterfaces/Generic/GenericParser.py | mattdon/raven | b5b4a9fc96cec37ca5fb3757c45653eec66522f1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Battelle Energy Alliance, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | 48.995392 | 175 | 0.632336 |
f8e25a6b3f08b8748538280fe147d362c6aa35c4 | 3,516 | py | Python | plot/microbench/distribution/dis_cpr.py | XinYao1994/HOPE | 99b41b457b67d3e5d6dd182f8aa2ce4ea66e4a68 | [
"Apache-2.0"
] | 108 | 2020-04-23T19:06:51.000Z | 2022-02-23T20:05:09.000Z | plot/microbench/distribution/dis_cpr.py | XinYao1994/HOPE | 99b41b457b67d3e5d6dd182f8aa2ce4ea66e4a68 | [
"Apache-2.0"
] | 1 | 2021-07-07T05:58:57.000Z | 2021-07-07T05:58:57.000Z | plot/microbench/distribution/dis_cpr.py | XinYao1994/HOPE | 99b41b457b67d3e5d6dd182f8aa2ce4ea66e4a68 | [
"Apache-2.0"
] | 11 | 2020-04-24T01:53:50.000Z | 2022-01-21T07:36:14.000Z | import sys
import os
sys.path.append(os.path.abspath('./plot/'))
from option import *
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plot
import matplotlib.ticker as ticker
import numpy as np
import csv
def autolabel(rects):
for rect in rects:
height = rect.get_height()
ax.text... | 34.811881 | 163 | 0.628271 |
ca91fdac2b105147a518343fa7f74fc905b3eece | 14,030 | py | Python | vaserving/pipeline_manager.py | whbruce/video-analytics-serving | dee544d528122548f14a3993703182e8ab05ef45 | [
"BSD-3-Clause"
] | null | null | null | vaserving/pipeline_manager.py | whbruce/video-analytics-serving | dee544d528122548f14a3993703182e8ab05ef45 | [
"BSD-3-Clause"
] | null | null | null | vaserving/pipeline_manager.py | whbruce/video-analytics-serving | dee544d528122548f14a3993703182e8ab05ef45 | [
"BSD-3-Clause"
] | null | null | null | '''
* Copyright (C) 2019-2020 Intel Corporation.
*
* SPDX-License-Identifier: BSD-3-Clause
'''
import os
import json
import traceback
from collections import deque
from collections import defaultdict
import jsonschema
from vaserving.common.utils import logging
from vaserving.pipeline import Pipeline
import vaserving.s... | 42.905199 | 102 | 0.533428 |
e3af5b9815f264063cbaf9456763b8244c629463 | 1,239 | py | Python | src/gamesbyexample/milliondicestats.py | Hacker-Boy9999/PythonStdioGames | be96635a3a54e0ca32f2658f9e7089b173db5fa2 | [
"Python-2.0"
] | null | null | null | src/gamesbyexample/milliondicestats.py | Hacker-Boy9999/PythonStdioGames | be96635a3a54e0ca32f2658f9e7089b173db5fa2 | [
"Python-2.0"
] | null | null | null | src/gamesbyexample/milliondicestats.py | Hacker-Boy9999/PythonStdioGames | be96635a3a54e0ca32f2658f9e7089b173db5fa2 | [
"Python-2.0"
] | null | null | null | """Million Dice Roll Statistics Simulator
By Al Sweigart al@inventwithpython.com
A simulation of one million dice rolls.
This and other games are available at https://nostarch.com/XX
Tags: tiny, beginner, math, simulation"""
__version__ = 0
import random, time
print('''Million Dice Roll Statistics Simulator
By Al Swei... | 31.769231 | 70 | 0.678773 |
41827c49b1aef05220a55ce85c77bf51520cc56d | 1,148 | py | Python | domains/fetch/problems/training/problem1081_CR.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | 1 | 2021-09-28T12:56:56.000Z | 2021-09-28T12:56:56.000Z | domains/fetch/problems/training/problem1081_CR.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | null | null | null | domains/fetch/problems/training/problem1081_CR.py | patras91/rae_release | 0e5faffb7eb732fdb8e3bbf2c6d2f2cbd520aa30 | [
"BSD-3-Clause"
] | 1 | 2022-03-31T16:30:39.000Z | 2022-03-31T16:30:39.000Z | __author__ = 'patras'
from domain_chargeableRobot import *
from timer import DURATION
from state import state
DURATION.TIME = {
'put': 2,
'take': 2,
'perceive': 2,
'charge': 2,
'move': 2,
'moveToEmergency': 2,
'moveCharger': 2,
'addressEmergency': 2,
'wait': 2,
}
DURATION.COUNTER =... | 22.509804 | 117 | 0.493902 |
8d1210ac294cd1d36ac429a739b7b609e6ff67b4 | 2,906 | py | Python | cob/utils/docker.py | oren0e/cob | f2a5d74a15f5262d7980e4cf1f1a20af29194ffb | [
"BSD-3-Clause"
] | 2 | 2019-04-07T20:19:55.000Z | 2021-05-27T10:23:31.000Z | cob/utils/docker.py | oren0e/cob | f2a5d74a15f5262d7980e4cf1f1a20af29194ffb | [
"BSD-3-Clause"
] | 126 | 2016-08-10T19:59:45.000Z | 2021-11-26T06:58:16.000Z | cob/utils/docker.py | oren0e/cob | f2a5d74a15f5262d7980e4cf1f1a20af29194ffb | [
"BSD-3-Clause"
] | 6 | 2017-11-16T12:05:47.000Z | 2021-11-24T09:21:17.000Z | from mitba import cached_function
from ..exceptions import MissingDependency
import os
import shutil
import subprocess
__all__ = ['docker_cmd', 'docker_compose_cmd']
class Docker:
def __init__(self, command_name='docker'):
self._cmdname = command_name
self._cmd_full_path = None
def get_com... | 27.942308 | 87 | 0.608052 |
e29536b884c2c732f6620989d007f0a9e7eb181e | 6,231 | py | Python | docusign_esign/models/bulk_recipients_summary_response.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | null | null | null | docusign_esign/models/bulk_recipients_summary_response.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | null | null | null | docusign_esign/models/bulk_recipients_summary_response.py | pivotal-energy-solutions/docusign-python-client | f3edd0b82e57999bc8848a63a0477712714ee437 | [
"MIT"
] | 1 | 2021-04-26T20:52:45.000Z | 2021-04-26T20:52:45.000Z | # coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign.
OpenAPI spec version: v2
Contact: devcenter@docusign.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from ppr... | 32.284974 | 126 | 0.634409 |
58bc6a8fd32b76a2e45ab7a829426ea25d2d8d9e | 42,493 | py | Python | src/emuvim/dcemulator/net.py | StefanUPB/vim-emu | aacef8f694b996db8fea123024e9a91368f287d2 | [
"Apache-2.0"
] | null | null | null | src/emuvim/dcemulator/net.py | StefanUPB/vim-emu | aacef8f694b996db8fea123024e9a91368f287d2 | [
"Apache-2.0"
] | null | null | null | src/emuvim/dcemulator/net.py | StefanUPB/vim-emu | aacef8f694b996db8fea123024e9a91368f287d2 | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2015 SONATA-NFV and Paderborn University
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 ap... | 43.493347 | 166 | 0.595557 |
12b3356ae54cb1ed487b5c741cc953173b24796e | 11,578 | py | Python | train.py | abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds | 08126539226dece8718e6a3c0092992b1666e702 | [
"MIT"
] | 5 | 2019-03-12T19:06:21.000Z | 2021-07-11T19:57:29.000Z | log/train.py | abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds | 08126539226dece8718e6a3c0092992b1666e702 | [
"MIT"
] | null | null | null | log/train.py | abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds | 08126539226dece8718e6a3c0092992b1666e702 | [
"MIT"
] | 2 | 2019-02-03T09:20:12.000Z | 2021-05-02T08:19:56.000Z | import argparse
import math
import h5py
import numpy as np
import tensorflow as tf
import socket
import importlib
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, 'models'))
sys.path.append(os.path.join(BASE_DIR, 'utils'))
impor... | 41.797834 | 133 | 0.639143 |
1ecaa6bea3828721f8a601db451a61f0b335f16e | 5,409 | py | Python | hw1/behavior_cloning.py | xiaonanchong/DeepRL_CS294 | 67a0833b657b33ad7f7ad6de30e270847575828d | [
"MIT"
] | null | null | null | hw1/behavior_cloning.py | xiaonanchong/DeepRL_CS294 | 67a0833b657b33ad7f7ad6de30e270847575828d | [
"MIT"
] | null | null | null | hw1/behavior_cloning.py | xiaonanchong/DeepRL_CS294 | 67a0833b657b33ad7f7ad6de30e270847575828d | [
"MIT"
] | null | null | null | """
Example usage:
python behavior_cloning.py Hopper-v1 --render --hidden_dim 100 --weight_decay 1e-4 \
--batchsize 100 --epoch 50 --test_rollouts 5
"""
import pickle
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import gym
from torch.optim import Adam
from torch.autogra... | 34.018868 | 155 | 0.577556 |
a73a1aede40008f0e01cf27b6f89e802aa585e8a | 5,583 | py | Python | mongo/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | null | null | null | mongo/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 4 | 2019-07-03T02:53:19.000Z | 2019-07-10T14:52:14.000Z | mongo/tests/conftest.py | glasser/integrations-core | 1dd515d49b1690a1369ee5195713605b1b072b1f | [
"BSD-3-Clause"
] | 1 | 2019-12-23T13:35:17.000Z | 2019-12-23T13:35:17.000Z | # (C) Datadog, Inc. 2018
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import os
import time
import pymongo
import pytest
from datadog_checks.dev import LazyFunction, WaitFor, docker_run, run_command
from datadog_checks.mongo import MongoDb
from . import common
@pytest.fixture(s... | 34.89375 | 116 | 0.516747 |
b4a6552c3e9c361e15efa6abdb41ac6c100c44b1 | 25,463 | py | Python | server/tests-py/test_graphql_queries.py | open-source-explorer/graphql-engine | d14300e9c917ed433eebd99d2ef1096951bfe840 | [
"Apache-2.0",
"MIT"
] | null | null | null | server/tests-py/test_graphql_queries.py | open-source-explorer/graphql-engine | d14300e9c917ed433eebd99d2ef1096951bfe840 | [
"Apache-2.0",
"MIT"
] | null | null | null | server/tests-py/test_graphql_queries.py | open-source-explorer/graphql-engine | d14300e9c917ed433eebd99d2ef1096951bfe840 | [
"Apache-2.0",
"MIT"
] | null | null | null | import yaml
import pytest
from validate import check_query_f
from super_classes import DefaultTestSelectQueries
@pytest.mark.parametrize("transport", ['http', 'websocket'])
class TestGraphQLQueryBasic(DefaultTestSelectQueries):
def test_select_query_author(self, hge_ctx, transport):
check_query_f(hge_ctx... | 48.225379 | 122 | 0.756392 |
932fb4975d926b5d0482909258077d62cbdf308b | 12,700 | py | Python | model_compression_toolkit/keras/keras_implementation.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/keras/keras_implementation.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | model_compression_toolkit/keras/keras_implementation.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | from typing import List, Any, Tuple, Callable
import numpy as np
import tensorflow as tf
from tensorflow.keras.models import Model
from model_compression_toolkit import QuantizationConfig, FrameworkInfo, common, GradientPTQConfig, \
MixedPrecisionQuantizationConfig
from model_compression_toolkit.common import Gra... | 41.368078 | 118 | 0.642677 |
d572d6b5b7aec9fbc05f3252f633f14a53ddedb2 | 5,536 | py | Python | dist_covid2.py | StraigenDaigen/social_distancing_ai | 226ff20c0343d02280461527c9ff3c6fbf6dfcf5 | [
"MIT"
] | 8 | 2021-08-21T09:39:15.000Z | 2021-08-22T09:35:51.000Z | dist_covid2.py | StraigenDaigen/social_distancing_ai | 226ff20c0343d02280461527c9ff3c6fbf6dfcf5 | [
"MIT"
] | null | null | null | dist_covid2.py | StraigenDaigen/social_distancing_ai | 226ff20c0343d02280461527c9ff3c6fbf6dfcf5 | [
"MIT"
] | 1 | 2021-08-30T20:40:10.000Z | 2021-08-30T20:40:10.000Z | import jetson.inference
import jetson.utils
import cv2
import argparse
import sys
import numpy as np
#import imutils
import itertools
def ResizeWithAspectRatio(image, width=None, height=None, inter=cv2.INTER_AREA):
dim = None
(h, w) = image.shape[:2]
if width is None and height is None:
return image
if width is ... | 41.007407 | 192 | 0.70466 |
352f27cabaeb8124ff95bf2b8277a19f50119fae | 215 | py | Python | pyf/_has_sticky.py | snoopyjc/pythonizer | 6b3683084f41f0aa06b1b4e652a0f00b19cceac1 | [
"Artistic-2.0"
] | 1 | 2022-03-13T22:08:25.000Z | 2022-03-13T22:08:25.000Z | pyf/_has_sticky.py | snoopyjc/pythonizer | 6b3683084f41f0aa06b1b4e652a0f00b19cceac1 | [
"Artistic-2.0"
] | 21 | 2022-03-17T16:53:04.000Z | 2022-03-31T23:55:24.000Z | pyf/_has_sticky.py | snoopyjc/pythonizer | 6b3683084f41f0aa06b1b4e652a0f00b19cceac1 | [
"Artistic-2.0"
] | null | null | null |
def _has_sticky(path): # -k
if not path:
return False
if hasattr(path, '_mode'):
return (path._mode & stat.S_ISVTX) != 0
return (os.stat(path).st_mode & stat.S_ISVTX) != 0
| 26.875 | 55 | 0.553488 |
e252a227ad5a83af1ff6e2c39d1e7ce07fc5502b | 180 | py | Python | salon/urls.py | amirRamirfatahi/beautstertest | 53f6e515903fd11992fd1eb70760318b17896437 | [
"MIT"
] | null | null | null | salon/urls.py | amirRamirfatahi/beautstertest | 53f6e515903fd11992fd1eb70760318b17896437 | [
"MIT"
] | 5 | 2021-03-30T13:08:19.000Z | 2021-09-22T18:54:13.000Z | salon/urls.py | amirRamirfatahi/beautstertest | 53f6e515903fd11992fd1eb70760318b17896437 | [
"MIT"
] | null | null | null | from django.urls import path
from salon.api import views
urlpatterns = [
path(r'', views.listsalon_view, name='salons'),
path(r'<pk>', views.salon_view, name='salon')
]
| 18 | 51 | 0.683333 |
45a045f14cc57bb6270b293ae0ef7c2e7f09cb89 | 7,410 | py | Python | autobuilder/workers/config.py | madisongh/autobuilder | 5290f904334e0236d9c45ed6cf5334fed00d9660 | [
"MIT"
] | null | null | null | autobuilder/workers/config.py | madisongh/autobuilder | 5290f904334e0236d9c45ed6cf5334fed00d9660 | [
"MIT"
] | null | null | null | autobuilder/workers/config.py | madisongh/autobuilder | 5290f904334e0236d9c45ed6cf5334fed00d9660 | [
"MIT"
] | 1 | 2018-12-07T16:20:57.000Z | 2018-12-07T16:20:57.000Z | import os
import socket
import string
from random import SystemRandom
import jinja2
from buildbot.plugins import worker
from autobuilder.workers.ec2 import MyEC2LatentWorker
RNG = SystemRandom()
default_svp = {'name': '/dev/xvdf', 'size': 200,
'type': 'standard', 'iops': None}
class AutobuilderWorker... | 46.024845 | 112 | 0.588124 |
b63e9413ca9050802ac886fd1f16709eb0277273 | 758 | py | Python | MyPyQt5LearnExamples/SepUiBack/calc_ui.py | prayjourney/on_the_way_ing | 88d04752b7b18c6d60d74b18357f6b2c09c9748e | [
"MIT"
] | null | null | null | MyPyQt5LearnExamples/SepUiBack/calc_ui.py | prayjourney/on_the_way_ing | 88d04752b7b18c6d60d74b18357f6b2c09c9748e | [
"MIT"
] | null | null | null | MyPyQt5LearnExamples/SepUiBack/calc_ui.py | prayjourney/on_the_way_ing | 88d04752b7b18c6d60d74b18357f6b2c09c9748e | [
"MIT"
] | 1 | 2020-09-29T14:17:39.000Z | 2020-09-29T14:17:39.000Z | # -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Calc(object):
def setupUi(self, Form):
self.inputSpinBox1 = QtWidgets.QSpinBox(Form)
self.inputSpinBox1.setGeometry(QtCore.QRect(1, 26, 46, 25))
self.inputSpinBox1.setObjectName("inputSpinBox1") # 必须
... | 36.095238 | 69 | 0.667546 |
e5542e89c5dbf782ee5a8dfb1aabef98c2af381e | 1,010 | py | Python | isi_sdk_8_2_0/test/test_snapshot_schedule_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 24 | 2018-06-22T14:13:23.000Z | 2022-03-23T01:21:26.000Z | isi_sdk_8_2_0/test/test_snapshot_schedule_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 46 | 2018-04-30T13:28:22.000Z | 2022-03-21T21:11:07.000Z | isi_sdk_8_2_0/test/test_snapshot_schedule_create_params.py | mohitjain97/isilon_sdk_python | a371f438f542568edb8cda35e929e6b300b1177c | [
"Unlicense"
] | 29 | 2018-06-19T00:14:04.000Z | 2022-02-08T17:51:19.000Z | # coding: utf-8
"""
Isilon SDK
Isilon SDK - Language bindings for the OneFS API # noqa: E501
OpenAPI spec version: 7
Contact: sdk@isilon.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import isi_sdk_8_2_0
from i... | 24.634146 | 115 | 0.736634 |
80b5b718bbb622ce95fe7db66602cb6d5a76c279 | 626 | py | Python | homeassistant/components/upnp/const.py | guiguid/core | d43617c41d6507f2d2b77aadf4fa1ebaf0058b14 | [
"Apache-2.0"
] | 1 | 2020-04-07T15:44:54.000Z | 2020-04-07T15:44:54.000Z | homeassistant/components/upnp/const.py | tomachristian/core | 71c8fcee20c55536b33c3ee774c76c1795f37cd2 | [
"Apache-2.0"
] | 3 | 2021-09-08T03:31:36.000Z | 2022-03-12T01:00:03.000Z | homeassistant/components/upnp/const.py | tomachristian/core | 71c8fcee20c55536b33c3ee774c76c1795f37cd2 | [
"Apache-2.0"
] | 2 | 2020-04-19T13:35:24.000Z | 2020-04-19T13:35:51.000Z | """Constants for the IGD component."""
from datetime import timedelta
import logging
from homeassistant.const import TIME_SECONDS
CONF_ENABLE_PORT_MAPPING = "port_mapping"
CONF_ENABLE_SENSORS = "sensors"
CONF_HASS = "hass"
CONF_LOCAL_IP = "local_ip"
CONF_PORTS = "ports"
DOMAIN = "upnp"
LOGGER = logging.getLogger(__pa... | 27.217391 | 63 | 0.798722 |
5b7dccbcd817ad33f9601e9de811bd7a14766fc8 | 1,399 | py | Python | server/tests/factories/workflow_task_instance_factory.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | server/tests/factories/workflow_task_instance_factory.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | 6 | 2021-11-01T01:35:40.000Z | 2022-02-11T03:33:06.000Z | server/tests/factories/workflow_task_instance_factory.py | CloudReactor/task_manager | 464ca74371064fabb9a21b1f5bacba30360932ab | [
"Fair"
] | null | null | null | import factory
from faker import Factory as FakerFactory
from processes.models import WorkflowTaskInstance
from .task_factory import TaskFactory
from .workflow_factory import WorkflowFactory
faker = FakerFactory.create()
class WorkflowTaskInstanceFactory(factory.django.DjangoModelFactory):
class Me... | 34.121951 | 91 | 0.77055 |
d7fd91d3d5be8f0f4c213dd95ce6e2a45d112b0a | 6,193 | py | Python | homeassistant/components/geonetnz_quakes/geo_location.py | tubalainen/core | 2ba514253c4981062853f3e1981903d3e4aa803c | [
"Apache-2.0"
] | 2 | 2020-03-02T19:17:52.000Z | 2020-03-02T19:17:53.000Z | homeassistant/components/geonetnz_quakes/geo_location.py | tubalainen/core | 2ba514253c4981062853f3e1981903d3e4aa803c | [
"Apache-2.0"
] | 6 | 2021-02-08T21:05:36.000Z | 2022-03-12T00:54:00.000Z | homeassistant/components/geonetnz_quakes/geo_location.py | tubalainen/core | 2ba514253c4981062853f3e1981903d3e4aa803c | [
"Apache-2.0"
] | null | null | null | """Geolocation support for GeoNet NZ Quakes Feeds."""
import logging
from typing import Optional
from homeassistant.components.geo_location import GeolocationEvent
from homeassistant.const import (
ATTR_ATTRIBUTION,
ATTR_TIME,
CONF_UNIT_SYSTEM_IMPERIAL,
LENGTH_KILOMETERS,
LENGTH_MILES,
)
from homea... | 32.941489 | 80 | 0.6601 |
9af248c25669af4a79e647e599cc613abc75a29f | 412 | py | Python | python/sentiments_analyse/Pre_Processing.py | donaldonana/sentiment_analyse | 478953fbd0f612a8e20e1f95933466d429626ed2 | [
"MIT"
] | null | null | null | python/sentiments_analyse/Pre_Processing.py | donaldonana/sentiment_analyse | 478953fbd0f612a8e20e1f95933466d429626ed2 | [
"MIT"
] | null | null | null | python/sentiments_analyse/Pre_Processing.py | donaldonana/sentiment_analyse | 478953fbd0f612a8e20e1f95933466d429626ed2 | [
"MIT"
] | null | null | null | """ We’ll have to do some pre-processing to get the data into a usable format. To start,
we’ll construct a vocabulary of all words that exist in our data"""
from data_set import train_data, test_data
items = list(train_data.items())
with open('../../target.txt', 'w') as mon_fichier:
for x, y in items:
... | 29.428571 | 91 | 0.65534 |
1c057d114c1e40e49d83f4b6ac10ef053dfef693 | 11,727 | py | Python | nltk/corpus/reader/comparative_sents.py | Bharat123rox/nltk | ba989e5d568f007718cbe69272c885b4a7d1168d | [
"Apache-2.0"
] | 9,747 | 2015-01-01T05:47:33.000Z | 2022-03-31T19:36:28.000Z | nltk/corpus/reader/comparative_sents.py | Bharat123rox/nltk | ba989e5d568f007718cbe69272c885b4a7d1168d | [
"Apache-2.0"
] | 2,155 | 2015-01-01T15:16:55.000Z | 2022-03-31T07:44:43.000Z | nltk/corpus/reader/comparative_sents.py | Bharat123rox/nltk | ba989e5d568f007718cbe69272c885b4a7d1168d | [
"Apache-2.0"
] | 2,846 | 2015-01-03T23:16:34.000Z | 2022-03-29T17:54:34.000Z | # Natural Language Toolkit: Comparative Sentence Corpus Reader
#
# Copyright (C) 2001-2021 NLTK Project
# Author: Pierpaolo Pantone <24alsecondo@gmail.com>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
"""
CorpusReader for the Comparative Sentence Dataset.
- Comparative Sentence Dataset in... | 37.829032 | 87 | 0.573378 |
33617a30ea3130bf59ace2e309344764f1ed4f04 | 607 | py | Python | setup.py | payamnj/django-simpletree | c8b6959f27a072a56a8fb3f451ad19bbd78165a7 | [
"BSD-3-Clause"
] | 2 | 2016-06-13T09:21:24.000Z | 2016-06-28T22:47:17.000Z | setup.py | payamnj/django-simpletree | c8b6959f27a072a56a8fb3f451ad19bbd78165a7 | [
"BSD-3-Clause"
] | null | null | null | setup.py | payamnj/django-simpletree | c8b6959f27a072a56a8fb3f451ad19bbd78165a7 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup
setup(
name='django_simpletree',
version='0.1.2',
description='A django app with an abstract model which helps \
to define tree style models with unlimited sub branches',
url='https://github.com/payamnj/django-simpletree',
author='Payam Najafizadeh',
author_email='p... | 31.947368 | 66 | 0.655684 |
011e4889d94321f2fbf34465205e73474bb3ab16 | 2,983 | py | Python | QWeb/internal/exceptions.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | 1 | 2021-11-08T09:26:44.000Z | 2021-11-08T09:26:44.000Z | QWeb/internal/exceptions.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | null | null | null | QWeb/internal/exceptions.py | sthagen/qentinelqi-qweb | e372729514e124a36cd41ee1ec0cff091e11ff8d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# --------------------------
# Copyright © 2014 - Qentinel Group.
#
# 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/LIC... | 28.682692 | 85 | 0.723098 |
1f7ae662d4fcdd772330a3a4aecfeca0acafae4c | 8,229 | py | Python | build.py | jaraco/aspen | ec0f6d5bef5e7100ac2374b38349a51f8394eabb | [
"MIT"
] | 1 | 2016-08-23T16:13:22.000Z | 2016-08-23T16:13:22.000Z | build.py | jaraco/aspen | ec0f6d5bef5e7100ac2374b38349a51f8394eabb | [
"MIT"
] | null | null | null | build.py | jaraco/aspen | ec0f6d5bef5e7100ac2374b38349a51f8394eabb | [
"MIT"
] | null | null | null | from __future__ import division, print_function, unicode_literals, with_statement
import os
import sys
import os.path
from fabricate import main, run, shell, autoclean
# Core Executables
# ================
# We satisfy dependencies using local tarballs, to ensure that we can build
# without a network connection. They... | 27.158416 | 124 | 0.580751 |
bedf4d04528153ed0fa0b1134e729d819a8dac5c | 66 | py | Python | tensorflow_advanced_segmentation_models/__version__.py | JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models | f3927d1bf8e3d37ae55a032c2f1477049a255197 | [
"MIT"
] | 72 | 2020-09-18T11:15:02.000Z | 2022-03-31T04:14:23.000Z | tensorflow_advanced_segmentation_models/__version__.py | JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models | f3927d1bf8e3d37ae55a032c2f1477049a255197 | [
"MIT"
] | 18 | 2020-09-13T08:55:23.000Z | 2022-02-17T19:18:10.000Z | tensorflow_advanced_segmentation_models/__version__.py | JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models | f3927d1bf8e3d37ae55a032c2f1477049a255197 | [
"MIT"
] | 29 | 2020-12-24T15:38:40.000Z | 2022-03-24T01:36:05.000Z | VERSION = (0, 4, 8)
__version__ = ".".join(map(str, VERSION))
| 16.5 | 42 | 0.575758 |
c232f05aaa8d8c82a6d6c80dac66caecdd81e374 | 7,155 | py | Python | libcloud/test/compute/test_rackspace.py | Jc2k/libcloud | 508dfb4791e5f3f49214567725d56b367075effc | [
"Apache-2.0"
] | 1 | 2015-11-05T15:37:04.000Z | 2015-11-05T15:37:04.000Z | libcloud/test/compute/test_rackspace.py | Jc2k/libcloud | 508dfb4791e5f3f49214567725d56b367075effc | [
"Apache-2.0"
] | null | null | null | libcloud/test/compute/test_rackspace.py | Jc2k/libcloud | 508dfb4791e5f3f49214567725d56b367075effc | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | 36.319797 | 78 | 0.689308 |
ae60303002ccada953e812db6c44443264f7d51a | 1,554 | py | Python | analysis.py | dabows/Spotify_top200_anal | 9819c090d8df5160022b7cbc192e119f464f2d73 | [
"MIT"
] | null | null | null | analysis.py | dabows/Spotify_top200_anal | 9819c090d8df5160022b7cbc192e119f464f2d73 | [
"MIT"
] | null | null | null | analysis.py | dabows/Spotify_top200_anal | 9819c090d8df5160022b7cbc192e119f464f2d73 | [
"MIT"
] | null | null | null |
'''
Shows top artist by appearances on top 200 as well
as top streams.
Also makes the vid.
'''
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as ani
import bar_chart_race as bar
def countArtists():
df = pd.read_csv('./products/all_df.csv')
arts = ... | 25.9 | 114 | 0.644788 |
cac5785c0a127424a5854dd416e82af15b5509f5 | 3,192 | py | Python | code/arch_12/dataset.py | dalmouiee/RDP-Net-Ret | 0f0c7aecef807e00ad71f7ae47827163018a98e8 | [
"MIT"
] | null | null | null | code/arch_12/dataset.py | dalmouiee/RDP-Net-Ret | 0f0c7aecef807e00ad71f7ae47827163018a98e8 | [
"MIT"
] | null | null | null | code/arch_12/dataset.py | dalmouiee/RDP-Net-Ret | 0f0c7aecef807e00ad71f7ae47827163018a98e8 | [
"MIT"
] | null | null | null | import cv2
import os
import glob
from sklearn.utils import shuffle
import numpy as np
def load_train(train_path, image_size, classes):
images = []
labels = []
img_names = []
cls = []
print('Going to read training images')
for fields in classes:
index = classes.index(fields)
... | 28 | 109 | 0.682331 |
b60af66ee3c1d843ad05e3f8d23c11736db9db3d | 11,881 | py | Python | cinder/volume/drivers/datera/datera_common.py | cloudification-io/cinder | 23d76e01f2b4f3771b57fb287084a4884238b827 | [
"Apache-2.0"
] | 571 | 2015-01-01T17:47:26.000Z | 2022-03-23T07:46:36.000Z | cinder/volume/drivers/datera/datera_common.py | dFarui/cinder | b2922384054ddbd46e071fd07372a75a21d7f85d | [
"Apache-2.0"
] | 37 | 2015-01-22T23:27:04.000Z | 2021-02-05T16:38:48.000Z | cinder/volume/drivers/datera/datera_common.py | dFarui/cinder | b2922384054ddbd46e071fd07372a75a21d7f85d | [
"Apache-2.0"
] | 841 | 2015-01-04T17:17:11.000Z | 2022-03-31T12:06:51.000Z | # Copyright 2020 Datera
# 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 applic... | 32.820442 | 79 | 0.620655 |
85e42bf15723640f3e27c294dcae6592cada845d | 3,206 | py | Python | profiles_project/settings.py | shycoder06/profiles-rest-api | 933332b970fb4c0ed3b2c936218abdb80bbf0271 | [
"MIT"
] | null | null | null | profiles_project/settings.py | shycoder06/profiles-rest-api | 933332b970fb4c0ed3b2c936218abdb80bbf0271 | [
"MIT"
] | null | null | null | profiles_project/settings.py | shycoder06/profiles-rest-api | 933332b970fb4c0ed3b2c936218abdb80bbf0271 | [
"MIT"
] | null | null | null | """
Django settings for profiles_project project.
Generated by 'django-admin startproject' using Django 3.1.4.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
fro... | 26.716667 | 91 | 0.703369 |
e98c61c6a92db97f657af561559d3046041c8df8 | 958 | py | Python | blog/admin.py | masod-abbasian/mysite | 5c321d0079a26ccd6b1bf25ebc7ecc44da05bc85 | [
"MIT"
] | 2 | 2021-11-20T04:22:11.000Z | 2021-12-03T09:16:51.000Z | blog/admin.py | masod-abbasian/mysite | 5c321d0079a26ccd6b1bf25ebc7ecc44da05bc85 | [
"MIT"
] | null | null | null | blog/admin.py | masod-abbasian/mysite | 5c321d0079a26ccd6b1bf25ebc7ecc44da05bc85 | [
"MIT"
] | null | null | null | from django.contrib import admin
from blog.models import POST,Category,Comment
from django_summernote.admin import SummernoteModelAdmin
# Register your models here.
# @admin.register(POST)
class POSTAdmin(SummernoteModelAdmin):
date_hierarchy = 'created_date'
empty_value_display = '-empty'
list_display = (... | 34.214286 | 109 | 0.721294 |
95af88118de8d1e3e33813b45cf6c99fc649f549 | 5,227 | py | Python | train_imp.py | chanyh0/pytorch-CycleGAN-and-pix2pix | 4d59a4695fdcf80d05b40c5eff0b35af4271e985 | [
"BSD-3-Clause"
] | null | null | null | train_imp.py | chanyh0/pytorch-CycleGAN-and-pix2pix | 4d59a4695fdcf80d05b40c5eff0b35af4271e985 | [
"BSD-3-Clause"
] | null | null | null | train_imp.py | chanyh0/pytorch-CycleGAN-and-pix2pix | 4d59a4695fdcf80d05b40c5eff0b35af4271e985 | [
"BSD-3-Clause"
] | null | null | null | """General-purpose training script for image-to-image translation.
This script works for various models (with option '--model': e.g., pix2pix, cyclegan, colorization) and
different datasets (with option '--dataset_mode': e.g., aligned, unaligned, single, colorization).
You need to specify the dataset ('--dataroot'), e... | 62.22619 | 190 | 0.666539 |
b44e43ac8bbbda2be07594e9a9b2ab3c082aaae1 | 777 | py | Python | tests/mainnet-fork/test_mainnet_fork_price_feed.py | PatrickAlphaC/xDai-brownie | 91e50772716fe349cc15645450af5c1ed9bf1d55 | [
"MIT"
] | 2 | 2021-02-25T23:12:40.000Z | 2021-03-17T19:55:07.000Z | tests/mainnet-fork/test_mainnet_fork_price_feed.py | PatrickAlphaC/xDai-brownie | 91e50772716fe349cc15645450af5c1ed9bf1d55 | [
"MIT"
] | 1 | 2021-01-30T04:26:47.000Z | 2021-02-02T23:55:33.000Z | tests/mainnet-fork/test_mainnet_fork_price_feed.py | PatrickAlphaC/chainlink-mix | 806d57638367254af992de87aef88a5d765ce3b3 | [
"MIT"
] | 2 | 2021-01-19T08:53:14.000Z | 2021-04-12T08:36:20.000Z | import pytest
from brownie import PriceFeed, accounts, network
def test_can_deploy_contract(mainnet_eth_usd_address):
# Arrange
if network.show_active() != 'mainnet-fork':
pytest.skip('Only works for mainnet-fork network')
# Act
price_feed = PriceFeed.deploy(
mainnet_eth_usd_address, {... | 29.884615 | 60 | 0.696268 |
9aa3f7c5dea02e6baddb4029d21fc156cbce3a84 | 317 | py | Python | redata/checks/data_volume.py | mociarain/redata | fc4e9826ab47920677383c97e51b6a8bdbd58a4b | [
"MIT"
] | null | null | null | redata/checks/data_volume.py | mociarain/redata | fc4e9826ab47920677383c97e51b6a8bdbd58a4b | [
"MIT"
] | null | null | null | redata/checks/data_volume.py | mociarain/redata | fc4e9826ab47920677383c97e51b6a8bdbd58a4b | [
"MIT"
] | null | null | null | from datetime import date, datetime, time
from sqlalchemy.sql import text
from redata.db_operations import metrics_db, metrics_session
from redata.metric import Metric
def check_data_volume(db, table, check, time_interval, conf):
result = db.check_data_volume(table, time_interval, conf)
return [result]
| 24.384615 | 61 | 0.791798 |
13ed7575314f02cee7ac68e5c1581480c17339e3 | 877 | py | Python | old/tests/auto-testing/master.py | ali493/pyro | 1245340077a733e2ab35765eae783b358d2f3af9 | [
"MIT"
] | null | null | null | old/tests/auto-testing/master.py | ali493/pyro | 1245340077a733e2ab35765eae783b358d2f3af9 | [
"MIT"
] | null | null | null | old/tests/auto-testing/master.py | ali493/pyro | 1245340077a733e2ab35765eae783b358d2f3af9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 6 15:27:04 2016
@author: alex
"""
import numpy as np
import os
import importlib
from AlexRobotics.dynamic import Manipulator
###########################
# Load 2 dof robot
###########################
x_start = [-1,0.3,0,0]
###########################
# test stude... | 19.488889 | 87 | 0.566705 |
057bff3b140116de9e70f739b48e67b2e8435e40 | 1,263 | py | Python | web/blog/serializers.py | bandirom/django-blog | a8232ee8e4b7380b0760296de865cca2c5feda87 | [
"MIT"
] | 1 | 2021-08-11T10:51:28.000Z | 2021-08-11T10:51:28.000Z | web/blog/serializers.py | bandirom/django-blog | a8232ee8e4b7380b0760296de865cca2c5feda87 | [
"MIT"
] | null | null | null | web/blog/serializers.py | bandirom/django-blog | a8232ee8e4b7380b0760296de865cca2c5feda87 | [
"MIT"
] | 6 | 2021-04-07T17:03:52.000Z | 2021-07-18T04:46:59.000Z | from django.contrib.auth import get_user_model
from rest_framework import serializers
from .models import Category, Article, Comment
User = get_user_model()
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('id', 'full_name', 'email')
class CommentSerializer... | 26.3125 | 95 | 0.699129 |
99a6a26b4a15eafaa8e1fd8c54a1589b7c16c1e0 | 631 | py | Python | packages/aws-cdk/lib/init-templates/v1/sample-app/python/tests/unit/test_%name.PythonModule%_stack.template.py | RichiCoder1/aws-cdk | 626e6aa1a27feffe7ce60a46a6fdcf26f317eaef | [
"Apache-2.0"
] | 6,159 | 2019-07-11T16:53:02.000Z | 2022-03-31T20:52:53.000Z | packages/aws-cdk/lib/init-templates/v1/sample-app/python/tests/unit/test_%name.PythonModule%_stack.template.py | RichiCoder1/aws-cdk | 626e6aa1a27feffe7ce60a46a6fdcf26f317eaef | [
"Apache-2.0"
] | 16,881 | 2019-07-11T18:58:07.000Z | 2022-03-31T23:59:47.000Z | packages/aws-cdk/lib/init-templates/v1/sample-app/python/tests/unit/test_%name.PythonModule%_stack.template.py | RichiCoder1/aws-cdk | 626e6aa1a27feffe7ce60a46a6fdcf26f317eaef | [
"Apache-2.0"
] | 2,504 | 2019-07-11T17:52:52.000Z | 2022-03-31T21:19:53.000Z | from aws_cdk import (
core,
assertions
)
from %name.PythonModule%.%name.PythonModule%_stack import %name.PascalCased%Stack
def test_sqs_queue_created():
app = core.App()
stack = %name.PascalCased%Stack(app, "%name.StackName%")
template = assertions.Template.from_stack(stack)
temp... | 25.24 | 81 | 0.684628 |
fe797ce88da30e74ae46e836de1684a882cb5715 | 925 | py | Python | crawling_scraping/tabeloghatebu/myproject/myproject/items.py | litteletips/crawling_scraping-scrapy_tool | 6d70b4d2a91f2d2bebcc5266ed43ad9be4723bc0 | [
"MIT"
] | null | null | null | crawling_scraping/tabeloghatebu/myproject/myproject/items.py | litteletips/crawling_scraping-scrapy_tool | 6d70b4d2a91f2d2bebcc5266ed43ad9be4723bc0 | [
"MIT"
] | 16 | 2021-03-19T09:44:52.000Z | 2022-03-12T00:22:14.000Z | crawling_scraping/tabeloghatebu/myproject/myproject/items.py | litteletips/crawling_scraping | 6d70b4d2a91f2d2bebcc5266ed43ad9be4723bc0 | [
"MIT"
] | null | null | null | # Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
# Spiderが抜き出したデータを格納しておくためのモジュール。
# Restaurant()：食べログレストラン情報
# Page()：Webページ情報を保存する為のItemクラス
import scrapy
class Restaurant(scrapy.Item):
"""
食べログのレストラン情報。
"""
name = scra... | 20.555556 | 74 | 0.610811 |
e97687de3427378489a91eaa65da3b8f5bee7b3b | 15,952 | py | Python | pandas/core/arrays/_mixins.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2021-04-28T05:15:42.000Z | 2021-04-28T05:15:42.000Z | pandas/core/arrays/_mixins.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | pandas/core/arrays/_mixins.py | mujtahidalam/pandas | 526468c8fe6fc5157aaf2fce327c5ab2a3350f49 | [
"PSF-2.0",
"Apache-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | from __future__ import annotations
from functools import wraps
from typing import (
Any,
Sequence,
TypeVar,
cast,
)
import numpy as np
from pandas._libs import lib
from pandas._typing import (
F,
PositionalIndexer2D,
Shape,
type_t,
)
from pandas.compat.numpy import function as nv
from... | 32.488798 | 88 | 0.606131 |
db05c6f7cfb30942e974fa246203fd7193899160 | 16,097 | py | Python | microprocessor/processor.py | AlexLitvino/i8080_simulator | fedd950c5e2843f53276f11be9878abbbb5d7c65 | [
"Apache-2.0"
] | null | null | null | microprocessor/processor.py | AlexLitvino/i8080_simulator | fedd950c5e2843f53276f11be9878abbbb5d7c65 | [
"Apache-2.0"
] | null | null | null | microprocessor/processor.py | AlexLitvino/i8080_simulator | fedd950c5e2843f53276f11be9878abbbb5d7c65 | [
"Apache-2.0"
] | null | null | null | from time import clock
import sys
sys.path.append("./../")
sys.path.append("./../common")
#sys.path.append("./../microprocessor")
from microprocessor.memory import Memory
from microprocessor.register import Register
from microprocessor.instructions_decoder import cmd_decoder
from microprocessor.misc_registers import *... | 34.103814 | 144 | 0.635087 |
d891fd75aaffd574d7d475153fa9c10ac1d7f060 | 443 | py | Python | halfpipe/utils/image.py | fossabot/Halfpipe-1 | 9e9fae20467d2c73b67fcb2cc73ed7144d79db3a | [
"FTL"
] | null | null | null | halfpipe/utils/image.py | fossabot/Halfpipe-1 | 9e9fae20467d2c73b67fcb2cc73ed7144d79db3a | [
"FTL"
] | null | null | null | halfpipe/utils/image.py | fossabot/Halfpipe-1 | 9e9fae20467d2c73b67fcb2cc73ed7144d79db3a | [
"FTL"
] | null | null | null | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
def niftidim(input, idim):
if isinstance(input, str):
import nibabel as nib
input = nib.load(input)
if len(input.shape) > idim:
return input.shape[... | 21.095238 | 73 | 0.609481 |
efafc05de9cfcad4fe88e78aab33ec4924f6d97a | 4,604 | py | Python | sdk/python/pulumi_aws/ec2transitgateway/get_route_table.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ec2transitgateway/get_route_table.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/ec2transitgateway/get_route_table.py | michael-golden/pulumi-aws | 165e876e166ecab1870e857822247585d78aef64 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class GetRouteTableResul... | 37.737705 | 162 | 0.673328 |
82be303d4548a21671033d80e6087bca914d7f5d | 3,973 | py | Python | soxbindings/effects.py | pseeth/soxbindings | 5c2a37969a796a2762c23f6c09c8893538ce396c | [
"MIT"
] | 42 | 2020-05-27T10:00:48.000Z | 2022-03-29T05:29:23.000Z | soxbindings/effects.py | pseeth/soxbindings | 5c2a37969a796a2762c23f6c09c8893538ce396c | [
"MIT"
] | 7 | 2020-07-15T19:27:00.000Z | 2022-01-20T10:46:37.000Z | soxbindings/effects.py | pseeth/soxbindings | 5c2a37969a796a2762c23f6c09c8893538ce396c | [
"MIT"
] | 3 | 2020-07-15T21:11:48.000Z | 2021-10-05T19:46:40.000Z | import numpy as np
from contextlib import contextmanager
MAX_NUM_EFFECTS_ARGS = 20
SOX_UNSPEC = 0
SOX_INITIALIZED = False
def get_available_effects():
from . import _soxbindings
return _soxbindings.get_effect_names()
def initialize_sox():
from . import _soxbindings
return _soxbindings.sox_init()
def... | 35.473214 | 84 | 0.704505 |
5df48163b0aef21d584a60c1915539fc9f51db4f | 5,001 | py | Python | qa/rpc-tests/wallet-hd.py | devronkim/kumsl | a70f068020f977ac2c9b55e121593e5631a3abc4 | [
"MIT"
] | null | null | null | qa/rpc-tests/wallet-hd.py | devronkim/kumsl | a70f068020f977ac2c9b55e121593e5631a3abc4 | [
"MIT"
] | null | null | null | qa/rpc-tests/wallet-hd.py | devronkim/kumsl | a70f068020f977ac2c9b55e121593e5631a3abc4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test Hierarchical Deterministic wallet function."""
from test_framework.test_framework import BitcoinTestFr... | 44.256637 | 122 | 0.640272 |
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