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1c27878825f01d072ca7e82632e07fcf8df2ea60 | 936 | py | Python | python/src/main/python/pyalink/alink/tests/examples/from_docs/test_crossfeaturepredictstreamop.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/tests/examples/from_docs/test_crossfeaturepredictstreamop.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/tests/examples/from_docs/test_crossfeaturepredictstreamop.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | import unittest
from pyalink.alink import *
import numpy as np
import pandas as pd
class TestCrossFeaturePredictStreamOp(unittest.TestCase):
def test_crossfeaturepredictstreamop(self):
df = pd.DataFrame([
["1.0", "1.0", 1.0, 1],
["1.0", "1.0", 0.0, 1],
["1.0", "0.0", 1.0, 1],
... | 42.545455 | 112 | 0.595085 | import unittest
from pyalink.alink import *
import numpy as np
import pandas as pd
class TestCrossFeaturePredictStreamOp(unittest.TestCase):
def test_crossfeaturepredictstreamop(self):
df = pd.DataFrame([
["1.0", "1.0", 1.0, 1],
["1.0", "1.0", 0.0, 1],
["1.0", "0.0", 1.0, 1],
... | true | true |
1c2788c992135a8f6a701cfd642c662f383fa799 | 3,127 | py | Python | numerical_eqs/matrix/tridiag.py | alienbrett/numerical-eqs-collection | 23619bf379d53ce0facb63be08ee6a3902d404d5 | [
"MIT"
] | null | null | null | numerical_eqs/matrix/tridiag.py | alienbrett/numerical-eqs-collection | 23619bf379d53ce0facb63be08ee6a3902d404d5 | [
"MIT"
] | null | null | null | numerical_eqs/matrix/tridiag.py | alienbrett/numerical-eqs-collection | 23619bf379d53ce0facb63be08ee6a3902d404d5 | [
"MIT"
] | null | null | null | import numpy as np
class TriDiag:
def __init__(self, a, d, b, n=None):
if n is None:
n = len(d)
self.n = n
self.a = np.asarray(a)
self.b = np.asarray(b)
self.d = np.asarray(d)
def mult(self, x):
'''Multiplies tridiagonal matr... | 22.177305 | 75 | 0.489607 | import numpy as np
class TriDiag:
def __init__(self, a, d, b, n=None):
if n is None:
n = len(d)
self.n = n
self.a = np.asarray(a)
self.b = np.asarray(b)
self.d = np.asarray(d)
def mult(self, x):
x = np.asarray(x)
... | true | true |
1c2788cec9e328b5354ea42a85d6c1ffc80f4a27 | 7,610 | py | Python | test/units/test_oci_mount_target.py | slmjy/oci-ansible-modules | 4713699064f4244b4554b5b2f97b5e5443fa2d6e | [
"Apache-2.0"
] | 106 | 2018-06-29T16:38:56.000Z | 2022-02-16T16:38:56.000Z | test/units/test_oci_mount_target.py | slmjy/oci-ansible-modules | 4713699064f4244b4554b5b2f97b5e5443fa2d6e | [
"Apache-2.0"
] | 122 | 2018-09-11T12:49:39.000Z | 2021-05-01T04:54:22.000Z | test/units/test_oci_mount_target.py | slmjy/oci-ansible-modules | 4713699064f4244b4554b5b2f97b5e5443fa2d6e | [
"Apache-2.0"
] | 78 | 2018-07-04T05:48:54.000Z | 2022-03-09T06:33:12.000Z | # Copyright (c) 2018, Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for details.
import pytest
... | 32.801724 | 106 | 0.737976 |
import pytest
from nose.plugins.skip import SkipTest
import logging
from ansible.modules.cloud.oracle import oci_mount_target
from ansible.module_utils.oracle import oci_utils
try:
import oci
from oci.util import to_dict
from oci.file_storage.models import MountTarget
from oci.exceptions import S... | true | true |
1c278908d838016977ad0aa9afa8db4fafc911bf | 308 | py | Python | src/data/385.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/385.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/385.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | (N, _), *r = [map(int, s.split()) for s in open(0)]
G = [[] for _ in [7] + r]
for a, b in r[:N - 1]:
G[a] += b,
G[b] += a,
V = [1] * N + [0]
q = [N]
while q:
i = q.pop()
for j in G[i]:
q += [j] * V[j]
V[j] = ~V[i]
for c, d in r[N - 1:]:
print('RTooawdn'[V[c] == V[d]::2])
| 20.533333 | 51 | 0.363636 | (N, _), *r = [map(int, s.split()) for s in open(0)]
G = [[] for _ in [7] + r]
for a, b in r[:N - 1]:
G[a] += b,
G[b] += a,
V = [1] * N + [0]
q = [N]
while q:
i = q.pop()
for j in G[i]:
q += [j] * V[j]
V[j] = ~V[i]
for c, d in r[N - 1:]:
print('RTooawdn'[V[c] == V[d]::2])
| true | true |
1c27895719ec7ea988e3586e874fc13e291cb805 | 1,332 | py | Python | mlanalyzer/app/__init__.py | DanJSG/reflectiment | 484ce5d0f20e1853095f049c880cdff3317fa47f | [
"MIT"
] | null | null | null | mlanalyzer/app/__init__.py | DanJSG/reflectiment | 484ce5d0f20e1853095f049c880cdff3317fa47f | [
"MIT"
] | null | null | null | mlanalyzer/app/__init__.py | DanJSG/reflectiment | 484ce5d0f20e1853095f049c880cdff3317fa47f | [
"MIT"
] | null | null | null | from app.mood_analyzer import MoodAnalyzer
from app.word_embedder import WordEmbedder
from app.reflection_analyzer import ReflectionAnalyzer
from app.document_encoder import encode_document
from app.sentiment_analyzer import SentimentAnalyzer
from flask import Flask, request, jsonify, current_app
from app.document impo... | 38.057143 | 96 | 0.753754 | from app.mood_analyzer import MoodAnalyzer
from app.word_embedder import WordEmbedder
from app.reflection_analyzer import ReflectionAnalyzer
from app.document_encoder import encode_document
from app.sentiment_analyzer import SentimentAnalyzer
from flask import Flask, request, jsonify, current_app
from app.document impo... | true | true |
1c2789c7907332eff00e34a0a6af5a08fb9e01d4 | 6,914 | py | Python | Open3D/examples/python/reconstruction_system/sensors/realsense_recorder.py | xdeng7/redwood_open3d_3dreconstruction | aa1651d3cec1feb00468d548ac2268a3ed17b856 | [
"Apache-2.0"
] | 8 | 2021-03-17T14:24:12.000Z | 2022-03-30T15:35:27.000Z | examples/python/reconstruction_system/sensors/realsense_recorder.py | moonwonlee/Open3D | dda9b3a0129fa6c60f913672a70ff02483dcd0f3 | [
"MIT"
] | 1 | 2021-11-04T09:22:25.000Z | 2022-02-14T01:32:31.000Z | examples/python/reconstruction_system/sensors/realsense_recorder.py | moonwonlee/Open3D | dda9b3a0129fa6c60f913672a70ff02483dcd0f3 | [
"MIT"
] | 2 | 2021-08-24T18:06:55.000Z | 2021-12-17T10:48:34.000Z | # Open3D: www.open3d.org
# The MIT License (MIT)
# See license file or visit www.open3d.org for details
# examples/python/reconstruction_system/sensors/realsense_recorder.py
# pyrealsense2 is required.
# Please see instructions in https://github.com/IntelRealSense/librealsense/tree/master/wrappers/python
import pyrea... | 35.096447 | 103 | 0.62048 |
import pyrealsense2 as rs
import numpy as np
import cv2
import argparse
from os import makedirs
from os.path import exists, join
import shutil
import json
from enum import IntEnum
try:
input = raw_input
except NameError:
pass
class Preset(IntEnum):
Custom = 0
Default = 1
Hand = 2
... | true | true |
1c278b61694e0d0d2a81e00a27b4e2b6d788f7d6 | 11,394 | py | Python | src/worlds/grid_world.py | Soucha/CommAI-env | 1420ab9e6c12da2f5e7acf27be2bc960ac2c856f | [
"BSD-3-Clause"
] | 107 | 2017-02-15T15:09:31.000Z | 2021-12-09T10:40:17.000Z | src/worlds/grid_world.py | axbaretto/commai-env | e5d2f17f78c074e97d5654fd14e3fdb9dbbf44b1 | [
"BSD-3-Clause"
] | 21 | 2017-02-15T18:21:25.000Z | 2019-11-08T12:39:47.000Z | src/worlds/grid_world.py | axbaretto/commai-env | e5d2f17f78c074e97d5654fd14e3fdb9dbbf44b1 | [
"BSD-3-Clause"
] | 43 | 2017-02-15T09:57:48.000Z | 2019-07-18T17:04:29.000Z | # Copyright (c) 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from __future__ import a... | 36.636656 | 79 | 0.568633 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from core.task import World, on_world_start, on_message, on_sequence,\
on_state_changed, on_timeout, on_output_message
from collections import namedtuple, defau... | true | true |
1c278bd432b5f180091f6b6d113b848e1d2291e1 | 3,129 | py | Python | sqlalchemy.app.py | toraud96/sqlalchemy-challenge | 9e5f0f4e57d435be68ede9def8384d372d415bdf | [
"ADSL"
] | null | null | null | sqlalchemy.app.py | toraud96/sqlalchemy-challenge | 9e5f0f4e57d435be68ede9def8384d372d415bdf | [
"ADSL"
] | null | null | null | sqlalchemy.app.py | toraud96/sqlalchemy-challenge | 9e5f0f4e57d435be68ede9def8384d372d415bdf | [
"ADSL"
] | null | null | null | import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
import datetime as dt
from flask import Flask, jsonify
#################################################
# Database Setup
################################... | 28.445455 | 76 | 0.616171 | import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
import datetime as dt
from flask import Flask, jsonify
| true | true |
1c278bdd4ead6ea17286297457fc321ecca49774 | 1,451 | py | Python | geneticknot/play_utils.py | MarekGn/cloudknot_genetic_algorithm | 7f2f0c49267f6486f36422ad06e57ae423d102a9 | [
"MIT"
] | null | null | null | geneticknot/play_utils.py | MarekGn/cloudknot_genetic_algorithm | 7f2f0c49267f6486f36422ad06e57ae423d102a9 | [
"MIT"
] | null | null | null | geneticknot/play_utils.py | MarekGn/cloudknot_genetic_algorithm | 7f2f0c49267f6486f36422ad06e57ae423d102a9 | [
"MIT"
] | null | null | null | from geneticknot.Board import Board
from geneticknot.DNN import DNN
def play_agents_tictactoe(players_couple, board_shape):
player_1 = players_couple[0]
player_2 = players_couple[1]
board = Board(board_shape)
status = -1
while status == -1:
player1_moves = player_1.forward(board.board.fla... | 31.543478 | 81 | 0.615438 | from geneticknot.Board import Board
from geneticknot.DNN import DNN
def play_agents_tictactoe(players_couple, board_shape):
player_1 = players_couple[0]
player_2 = players_couple[1]
board = Board(board_shape)
status = -1
while status == -1:
player1_moves = player_1.forward(board.board.fla... | true | true |
1c278c9f0b619b15eb6ae553dda5b3801024995d | 38 | py | Python | legoBTLE/exceptions/value_execptions.py | programmingLego/legoBTLE4PI | d4641eb3e5451f8f64a4ac038ebadb8c3b452ec0 | [
"MIT"
] | 2 | 2021-06-05T18:06:43.000Z | 2021-08-13T12:16:48.000Z | legoBTLE/exceptions/value_execptions.py | programmingLego/legoBTLE4PI | d4641eb3e5451f8f64a4ac038ebadb8c3b452ec0 | [
"MIT"
] | 4 | 2021-06-05T18:55:26.000Z | 2021-06-23T19:40:53.000Z | legoBTLE/exceptions/value_execptions.py | DietrichChristopeit/project-cimino | 62eaf5e2661200094742c1ab65524128488d84bf | [
"MIT"
] | null | null | null | class NoneError(Exception):
pass
| 12.666667 | 28 | 0.710526 | class NoneError(Exception):
pass
| false | true |
1c278d05541e3acc0f66c9fa5153979cd6f57931 | 4,391 | py | Python | mode.py | ChiuAlfredo/Spotify_playlist | d1911b3417863cababa1cad47ceb685b40afcb86 | [
"MIT"
] | 1 | 2021-09-24T13:26:43.000Z | 2021-09-24T13:26:43.000Z | mode.py | ChiuAlfredo/Spotify_playlist | d1911b3417863cababa1cad47ceb685b40afcb86 | [
"MIT"
] | null | null | null | mode.py | ChiuAlfredo/Spotify_playlist | d1911b3417863cababa1cad47ceb685b40afcb86 | [
"MIT"
] | null | null | null | class mode:
def __init__(self, spotify_client):
self.spotify_client = spotify_client
def from_recent_playlist_create_playlist(self,spotify_client):
# get last played tracks
num_tracks_to_visualise = int(input("How many tracks would you like to visualise? "))
l... | 48.252747 | 123 | 0.613755 | class mode:
def __init__(self, spotify_client):
self.spotify_client = spotify_client
def from_recent_playlist_create_playlist(self,spotify_client):
num_tracks_to_visualise = int(input("How many tracks would you like to visualise? "))
last_played_tracks = spoti... | true | true |
1c2790043d54a6bc19fba30fe838e2d0d782314e | 509 | py | Python | icevision/models/mmdet/common/bbox/__init__.py | ai-fast-track/mantisshrimp | cc6d6a4a048f6ddda2782b6593dcd6b083a673e4 | [
"Apache-2.0"
] | 580 | 2020-09-10T06:29:57.000Z | 2022-03-29T19:34:54.000Z | icevision/models/mmdet/common/bbox/__init__.py | ai-fast-track/mantisshrimp | cc6d6a4a048f6ddda2782b6593dcd6b083a673e4 | [
"Apache-2.0"
] | 691 | 2020-09-05T03:08:34.000Z | 2022-03-31T23:47:06.000Z | icevision/models/mmdet/common/bbox/__init__.py | lgvaz/mantisshrimp2 | 743cb7df0dae7eb1331fc2bb66fc9ca09db496cd | [
"Apache-2.0"
] | 105 | 2020-09-09T10:41:35.000Z | 2022-03-25T17:16:49.000Z | from icevision.models.mmdet.common.bbox.dataloaders import *
from icevision.models.mmdet.common.bbox.prediction import *
from icevision.models.mmdet.common.bbox.show_results import *
from icevision.models.mmdet.common.bbox.show_batch import *
# Soft dependencies
from icevision.soft_dependencies import SoftDependencies... | 36.357143 | 61 | 0.834971 | from icevision.models.mmdet.common.bbox.dataloaders import *
from icevision.models.mmdet.common.bbox.prediction import *
from icevision.models.mmdet.common.bbox.show_results import *
from icevision.models.mmdet.common.bbox.show_batch import *
from icevision.soft_dependencies import SoftDependencies
if SoftDependenci... | true | true |
1c279167ffec84aecf9a02aac87937cdd8ebd077 | 1,751 | py | Python | storage_s3/indico_storage_s3/task.py | MayureshIndapurkarTTU/IndicoPlugins | cb519f15425644fe1ba4649c461d9d5efda38ec5 | [
"MIT"
] | null | null | null | storage_s3/indico_storage_s3/task.py | MayureshIndapurkarTTU/IndicoPlugins | cb519f15425644fe1ba4649c461d9d5efda38ec5 | [
"MIT"
] | null | null | null | storage_s3/indico_storage_s3/task.py | MayureshIndapurkarTTU/IndicoPlugins | cb519f15425644fe1ba4649c461d9d5efda38ec5 | [
"MIT"
] | null | null | null | # This file is part of the Indico plugins.
# Copyright (C) 2002 - 2020 CERN
#
# The Indico plugins are free software; you can redistribute
# them and/or modify them under the terms of the MIT License;
# see the LICENSE file for more details.
from __future__ import unicode_literals
import re
from datetime import date
... | 38.911111 | 98 | 0.685323 |
from __future__ import unicode_literals
import re
from datetime import date
from celery.schedules import crontab
from dateutil.relativedelta import relativedelta
from indico.core.celery import celery
from indico.core.config import config
from indico.core.storage.backend import ReadOnlyStorageMixin, get_storag... | true | true |
1c27918aa185c59d2de0b6865788d139187f99cb | 2,744 | py | Python | batch_rl/baselines/agents/quantile_agent.py | tangbotony/batch_rl | 9c3d07ac91dd604132c209bca9dfbe0d71b74cb7 | [
"Apache-2.0"
] | 3 | 2020-12-28T02:58:19.000Z | 2022-03-14T03:19:35.000Z | batch_rl/baselines/agents/quantile_agent.py | tangbotony/batch_rl | 9c3d07ac91dd604132c209bca9dfbe0d71b74cb7 | [
"Apache-2.0"
] | 1 | 2022-03-14T11:39:25.000Z | 2022-03-14T11:39:25.000Z | batch_rl/baselines/agents/quantile_agent.py | tangbotony/batch_rl | 9c3d07ac91dd604132c209bca9dfbe0d71b74cb7 | [
"Apache-2.0"
] | 2 | 2020-12-01T22:26:52.000Z | 2021-01-04T21:26:01.000Z | # coding=utf-8
# Copyright 2020 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... | 37.081081 | 83 | 0.748907 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from batch_rl.baselines.replay_memory import logged_prioritized_replay_buffer
from batch_rl.multi_head import quantile_agent
import gin
@gin.configurable
class LoggedQuantileAgent(quantile_ag... | true | true |
1c2791c4cde3ecfb72eb78b8d9451119bb31866f | 943 | py | Python | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2022_03_02/operations/__init__.py | jalauzon-msft/azure-sdk-for-python | 15967f5c6d3376f2334a382486ba86339786e028 | [
"MIT"
] | 1 | 2022-02-01T18:50:12.000Z | 2022-02-01T18:50:12.000Z | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2022_03_02/operations/__init__.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | sdk/compute/azure-mgmt-compute/azure/mgmt/compute/v2022_03_02/operations/__init__.py | ellhe-blaster/azure-sdk-for-python | 82193ba5e81cc5e5e5a5239bba58abe62e86f469 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 42.863636 | 94 | 0.687169 |
from ._disks_operations import DisksOperations
from ._disk_accesses_operations import DiskAccessesOperations
from ._disk_encryption_sets_operations import DiskEncryptionSetsOperations
from ._disk_restore_point_operations import DiskRestorePointOperations
from ._snapshots_operations import SnapshotsOperations
_... | true | true |
1c27921ec958bf40a8b7040fc375918dd6f49c91 | 4,285 | py | Python | app/user/tests/test_user_api.py | Shiv2195/recipe-app-api | f18e0841490ca3252ac6cf509ba488ecd2a2d7b6 | [
"MIT"
] | null | null | null | app/user/tests/test_user_api.py | Shiv2195/recipe-app-api | f18e0841490ca3252ac6cf509ba488ecd2a2d7b6 | [
"MIT"
] | null | null | null | app/user/tests/test_user_api.py | Shiv2195/recipe-app-api | f18e0841490ca3252ac6cf509ba488ecd2a2d7b6 | [
"MIT"
] | null | null | null | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
CREATE_USER_URL = reverse('user:create')
TOKEN_URL = reverse('user:token')
ME_URL = reverse('user:me')
def create_user(**params)... | 31.507353 | 77 | 0.633839 | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
CREATE_USER_URL = reverse('user:create')
TOKEN_URL = reverse('user:token')
ME_URL = reverse('user:me')
def create_user(**params)... | true | true |
1c27922d6b049cac7c323d3fd180bf4d862bd474 | 307 | py | Python | skfem/element/element_tri/__init__.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | skfem/element/element_tri/__init__.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | skfem/element/element_tri/__init__.py | carlosal1015/scikit-fem | 1e73a417e9b43fe0a36e29807792c41fa289b77d | [
"BSD-3-Clause"
] | null | null | null | from .element_tri_p1 import ElementTriP1
from .element_tri_p2 import ElementTriP2
from .element_tri_dg import ElementTriDG
from .element_tri_p0 import ElementTriP0
from .element_tri_rt0 import ElementTriRT0
from .element_tri_morley import ElementTriMorley
from .element_tri_argyris import ElementTriArgyris
| 38.375 | 50 | 0.885993 | from .element_tri_p1 import ElementTriP1
from .element_tri_p2 import ElementTriP2
from .element_tri_dg import ElementTriDG
from .element_tri_p0 import ElementTriP0
from .element_tri_rt0 import ElementTriRT0
from .element_tri_morley import ElementTriMorley
from .element_tri_argyris import ElementTriArgyris
| true | true |
1c279261574aebaabf08b7362d9fb164cd9a4df2 | 304 | py | Python | backend/apps/question/views/category.py | xingxingzaixian/python-django-online-exam | c504e121814061cbf7647d4d916f363230239f17 | [
"MIT"
] | 47 | 2021-09-23T00:52:49.000Z | 2022-03-27T12:57:28.000Z | backend/apps/question/views/category.py | xingxingzaixian/django-drf-online-exam | c504e121814061cbf7647d4d916f363230239f17 | [
"MIT"
] | null | null | null | backend/apps/question/views/category.py | xingxingzaixian/django-drf-online-exam | c504e121814061cbf7647d4d916f363230239f17 | [
"MIT"
] | 17 | 2021-09-02T12:12:21.000Z | 2022-03-27T10:28:27.000Z | from rest_framework.viewsets import ModelViewSet
from question.models import TblQuestionCategory as Model
from question.serializers import CategorySerializer as Serializer
class CategoryViewset(ModelViewSet):
queryset = Model.objects.all().order_by('-id')
serializer_class = Serializer | 33.777778 | 66 | 0.802632 | from rest_framework.viewsets import ModelViewSet
from question.models import TblQuestionCategory as Model
from question.serializers import CategorySerializer as Serializer
class CategoryViewset(ModelViewSet):
queryset = Model.objects.all().order_by('-id')
serializer_class = Serializer | true | true |
1c279337d3fce7cfb3111dd0178edc422e25ce77 | 3,322 | py | Python | src/util/conversationParser.py | 5agado/conversation-analyzer | 7a10c49b1785e581c920c32c1606c9039a4dbefd | [
"Apache-2.0"
] | 80 | 2015-11-07T14:44:58.000Z | 2022-03-15T13:58:25.000Z | src/util/conversationParser.py | 5agado/conversation-analyzer | 7a10c49b1785e581c920c32c1606c9039a4dbefd | [
"Apache-2.0"
] | 15 | 2015-11-03T21:53:01.000Z | 2021-10-14T16:25:40.000Z | src/util/conversationParser.py | 5agado/conversation-analyzer | 7a10c49b1785e581c920c32c1606c9039a4dbefd | [
"Apache-2.0"
] | 22 | 2016-11-18T23:53:56.000Z | 2021-02-12T14:52:26.000Z | import argparse
import json
import sys
import os
import time
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from util import logger
def parseMessage(msgData, authors):
"""Parse the message contained in msgData.
Authors should be a dict to provide a correspondence between the IDs as present ... | 39.082353 | 102 | 0.660747 | import argparse
import json
import sys
import os
import time
sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from util import logger
def parseMessage(msgData, authors):
try:
localTimestamp = time.localtime(msgData["timestamp"]/1000)
dateAndTime = time.strftime("%Y.%m.%d %H:%M:%S", ... | true | true |
1c279399d5bf934b204bdefe9a18207c5233b53f | 4,804 | py | Python | scripts/calfits_to_Bcal.py | HERA-Team/casa-imaging | 8cad11102f0a70b51ce9d73056d6c5dab16e1a73 | [
"BSD-3-Clause"
] | 1 | 2020-02-25T20:34:51.000Z | 2020-02-25T20:34:51.000Z | scripts/calfits_to_Bcal.py | HERA-Team/casa-imaging | 8cad11102f0a70b51ce9d73056d6c5dab16e1a73 | [
"BSD-3-Clause"
] | 2 | 2019-02-27T20:12:13.000Z | 2019-06-19T17:31:25.000Z | scripts/calfits_to_Bcal.py | HERA-Team/casa-imaging | 8cad11102f0a70b51ce9d73056d6c5dab16e1a73 | [
"BSD-3-Clause"
] | 2 | 2020-02-10T14:15:14.000Z | 2022-03-17T11:46:44.000Z | #!/usr/bin/env python2.7
"""
calfits_to_Bcal.py
----------------
A CASA script for converting a
calfits gain file into a CASA
bandpass cal table.
Run as casa -c calfits_to_Bcal.py <args>
Nicholas Kern
Oct. 2018
"""
import pyfits
import os
import shutil
import numpy as np
import argparse
## Set Arguments
a = argpars... | 36.393939 | 118 | 0.65841 |
import pyfits
import os
import shutil
import numpy as np
import argparse
rgumentParser(description="Run with casa as: casa -c calfits_to_Bcal.py <args>")
a.add_argument('--script', '-c', type=str, help='name of this script', required=True)
a.add_argument('--cfits', default=None, type=str, help='Path to calfits FITS f... | true | true |
1c2793a390aeea08fb199c122d710fd0a195b10b | 5,364 | py | Python | pike/test/encryption.py | guozhongqiu/pike | 2fbf3dc7ff353c675e025892b45eb923d014b752 | [
"Apache-2.0"
] | 20 | 2015-01-13T16:35:02.000Z | 2021-04-25T02:01:36.000Z | pike/test/encryption.py | guozhongqiu/pike | 2fbf3dc7ff353c675e025892b45eb923d014b752 | [
"Apache-2.0"
] | 54 | 2015-11-23T20:27:21.000Z | 2021-09-23T17:04:43.000Z | pike/test/encryption.py | guozhongqiu/pike | 2fbf3dc7ff353c675e025892b45eb923d014b752 | [
"Apache-2.0"
] | 33 | 2015-02-04T15:28:37.000Z | 2022-01-25T01:42:26.000Z | #
# Copyright (c) 2016-2020, Dell Inc. or its subsidiaries.
# All rights reserved.
# See file LICENSE for licensing information.
#
# Module Name:
#
# encryption.py
#
# Abstract:
#
# Test SMB3 Encryption and negotiation options
#
# Authors: Masen Furer (masen.furer@dell.com)
#
import pike.crypto as crypto... | 40.636364 | 87 | 0.705444 |
import pike.crypto as crypto
import pike.model as model
import pike.smb2 as smb2
import pike.test
class TestEncryption(pike.test.PikeTest):
def test_smb_3_0_encryption(self):
client = model.Client(dialects=[smb2.DIALECT_SMB3_0])
conn = client.connect(self.server)
conn.negot... | true | true |
1c27962b60ef593c4abe4969c28eaac1f8db9f26 | 2,407 | py | Python | Code/reviews.py | pranavjain594/Application-Rating-Prediction-and-User-Sentiment-Analysis | 051fa2eeb554b6764c612aaf688632afb85699a0 | [
"MIT"
] | 3 | 2020-07-01T09:53:27.000Z | 2021-05-29T09:15:01.000Z | Code/reviews.py | pranavjain594/Application-Rating-Prediction-and-User-Sentiment-Analysis | 051fa2eeb554b6764c612aaf688632afb85699a0 | [
"MIT"
] | null | null | null | Code/reviews.py | pranavjain594/Application-Rating-Prediction-and-User-Sentiment-Analysis | 051fa2eeb554b6764c612aaf688632afb85699a0 | [
"MIT"
] | null | null | null | # Natural Language Processing
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('googleplaystoreuserreviews.csv')
dataset.dropna(inplace=True)
X = dataset.iloc[:,0].values
# Cleaning the texts
import re
import nltk
nltk.do... | 29.353659 | 94 | 0.781055 |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset = pd.read_csv('googleplaystoreuserreviews.csv')
dataset.dropna(inplace=True)
X = dataset.iloc[:,0].values
import re
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
... | true | true |
1c2796990a572bf61f7b8083b7983788df677fec | 1,010 | py | Python | resize_image.py | boguss1225/ImageProcessingCodePackage | 542a342632b8925f7a772e7e241aacadf9ef2b48 | [
"Apache-2.0"
] | null | null | null | resize_image.py | boguss1225/ImageProcessingCodePackage | 542a342632b8925f7a772e7e241aacadf9ef2b48 | [
"Apache-2.0"
] | null | null | null | resize_image.py | boguss1225/ImageProcessingCodePackage | 542a342632b8925f7a772e7e241aacadf9ef2b48 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import glob
from PIL import Image
# PATH of file directory
DIRECTORY_PATH = 'C:/Users/younh/Desktop/STUDY/Projects/Mouse_Brain/data/DATASETsubmit/mrcnn_val_dataset_images/'
# PATH for saving directory
TARGET_PATH = 'C:/Users/younh/Desktop/STUDY/Projects/Mouse_Brain/data/DATASETsubmit/resized... | 28.055556 | 114 | 0.662376 | import numpy as np
import glob
from PIL import Image
DIRECTORY_PATH = 'C:/Users/younh/Desktop/STUDY/Projects/Mouse_Brain/data/DATASETsubmit/mrcnn_val_dataset_images/'
TARGET_PATH = 'C:/Users/younh/Desktop/STUDY/Projects/Mouse_Brain/data/DATASETsubmit/resized/test_image/'
WIDTH = 960
HEIGHT = 640
files... | true | true |
1c279813203c2bbfe89ba4123cc7692a18776c1e | 16 | py | Python | sphere.py | teremock/python | f9598eee88c1840d58820fe793f504b9705f60d3 | [
"MIT"
] | 1 | 2016-10-15T20:11:11.000Z | 2016-10-15T20:11:11.000Z | sphere.py | teremock/python | f9598eee88c1840d58820fe793f504b9705f60d3 | [
"MIT"
] | null | null | null | sphere.py | teremock/python | f9598eee88c1840d58820fe793f504b9705f60d3 | [
"MIT"
] | null | null | null | #4/3 * PI * R^3
| 8 | 15 | 0.375 | true | true | |
1c27999f5fa9b6767afe73cb6b6a6b8c41738f56 | 6,819 | py | Python | module2_mixed/test_mixed.py | sxontheway/milliEye | bfdb041c978a45d7481071e8e9579d226ce523ff | [
"MIT"
] | 33 | 2021-04-06T12:55:56.000Z | 2022-03-18T15:47:19.000Z | module2_mixed/test_mixed.py | sxontheway/milliEye | bfdb041c978a45d7481071e8e9579d226ce523ff | [
"MIT"
] | 4 | 2021-09-25T11:52:33.000Z | 2021-11-26T17:44:56.000Z | module2_mixed/test_mixed.py | sxontheway/milliEye | bfdb041c978a45d7481071e8e9579d226ce523ff | [
"MIT"
] | 5 | 2021-06-17T14:43:15.000Z | 2022-01-16T03:02:32.000Z | from __future__ import division
from yolov3.models import *
from utils.utils import *
from utils.datasets import *
from utils.parse_config import *
import os
import sys
import time
import datetime
import argparse
import tqdm
import torch
from torch.utils.data import DataLoader
from torchvision import datasets
from t... | 32.626794 | 138 | 0.626778 | from __future__ import division
from yolov3.models import *
from utils.utils import *
from utils.datasets import *
from utils.parse_config import *
import os
import sys
import time
import datetime
import argparse
import tqdm
import torch
from torch.utils.data import DataLoader
from torchvision import datasets
from t... | true | true |
1c2799acb705f530055d917911c19af97890c6b0 | 197 | py | Python | example/sqla/website/database.py | mterzo/flask-social-blueprint | 73a2716f11a2ac77a2e5dc391dff462f2fd82375 | [
"MIT"
] | 87 | 2015-01-22T15:22:35.000Z | 2021-12-25T00:43:54.000Z | example/sqla/website/database.py | mterzo/flask-social-blueprint | 73a2716f11a2ac77a2e5dc391dff462f2fd82375 | [
"MIT"
] | 32 | 2015-01-04T19:27:59.000Z | 2021-04-30T20:38:53.000Z | example/sqla/website/database.py | mterzo/flask-social-blueprint | 73a2716f11a2ac77a2e5dc391dff462f2fd82375 | [
"MIT"
] | 34 | 2015-01-04T18:48:33.000Z | 2019-03-26T20:15:11.000Z | # coding=utf-8
# Created 2014 by Janusz Skonieczny
import logging
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
def init_db():
logging.debug("db.create_all")
db.create_all()
| 16.416667 | 39 | 0.741117 |
import logging
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
def init_db():
logging.debug("db.create_all")
db.create_all()
| true | true |
1c279a765ccfb9946e6f99301b2e6663deb11b3a | 868 | py | Python | pyazo/core/tests/utils.py | fossabot/pyazo | 86084642446b739845fa55e7a180e715ae59cb6c | [
"MIT"
] | null | null | null | pyazo/core/tests/utils.py | fossabot/pyazo | 86084642446b739845fa55e7a180e715ae59cb6c | [
"MIT"
] | null | null | null | pyazo/core/tests/utils.py | fossabot/pyazo | 86084642446b739845fa55e7a180e715ae59cb6c | [
"MIT"
] | null | null | null | """testing utilities"""
from io import StringIO
from django.contrib.auth.models import User
from django.core.management import call_command
def test_auth(superuser=True):
"""Create a test user and return credentials to use with client.login"""
credentials = {
"username": "test",
"password": "... | 29.931034 | 87 | 0.667051 | from io import StringIO
from django.contrib.auth.models import User
from django.core.management import call_command
def test_auth(superuser=True):
credentials = {
"username": "test",
"password": "test",
"email": "test@test.test",
}
if superuser:
credentials["username"] = "... | true | true |
1c279d3b27568497b8eaf6296da2cb46734bc751 | 5,787 | py | Python | aria/orchestrator/execution_plugin/common.py | tnadeau/incubator-ariatosca | de32028783969bc980144afa3c91061c7236459c | [
"Apache-2.0"
] | null | null | null | aria/orchestrator/execution_plugin/common.py | tnadeau/incubator-ariatosca | de32028783969bc980144afa3c91061c7236459c | [
"Apache-2.0"
] | null | null | null | aria/orchestrator/execution_plugin/common.py | tnadeau/incubator-ariatosca | de32028783969bc980144afa3c91061c7236459c | [
"Apache-2.0"
] | 1 | 2020-06-16T15:13:06.000Z | 2020-06-16T15:13:06.000Z | # 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 ... | 37.335484 | 138 | 0.650251 |
import json
import os
import tempfile
import requests
from . import constants
from . import exceptions
def is_windows():
return os.name == 'nt'
def download_script(ctx, script_path):
split = script_path.split('://')
schema = split[0]
suffix = script_path.split('/')[-1]
file_des... | true | true |
1c279d5c5a1d5f54b9f0c5784bd5b83aa3bff535 | 11,117 | py | Python | back of PSSM/PSSM/driving_data-20180814142659.py | lidongyv/PSSM | 61ef78bc465fd53fb128d0aa1b913f787c8c7f74 | [
"Apache-2.0"
] | null | null | null | back of PSSM/PSSM/driving_data-20180814142659.py | lidongyv/PSSM | 61ef78bc465fd53fb128d0aa1b913f787c8c7f74 | [
"Apache-2.0"
] | null | null | null | back of PSSM/PSSM/driving_data-20180814142659.py | lidongyv/PSSM | 61ef78bc465fd53fb128d0aa1b913f787c8c7f74 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: yulidong
# @Date: 2018-06-20 14:37:27
# @Last Modified by: yulidong
# @Last Modified time: 2018-08-10 21:32:24
import cv2
import numpy as np
import os
from python_pfm import *
from scipy import stats
import matplotlib.pyplot as plt
from skimage.filters import roberts, sobel, scha... | 39.703571 | 122 | 0.6607 |
import cv2
import numpy as np
import os
from python_pfm import *
from scipy import stats
import matplotlib.pyplot as plt
from skimage.filters import roberts, sobel, scharr, prewitt
from skimage import exposure
import time
division=10
division2=50
eanpass/15mm_focallength/scene_forwards/slow/left',
r... | true | true |
1c279de16d9bd4acf926e956ab7f1c7e3445cdec | 2,169 | py | Python | applications/zcomx/private/tmp/dal_tests.py | zcomx/zco.mx | 70a7372af5787c2e4dea14b25bab0bbb2b959881 | [
"BSD-3-Clause"
] | null | null | null | applications/zcomx/private/tmp/dal_tests.py | zcomx/zco.mx | 70a7372af5787c2e4dea14b25bab0bbb2b959881 | [
"BSD-3-Clause"
] | null | null | null | applications/zcomx/private/tmp/dal_tests.py | zcomx/zco.mx | 70a7372af5787c2e4dea14b25bab0bbb2b959881 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
dal_tests.py
Script to test dal queries.
"""
import os
import sys
import traceback
from optparse import OptionParser
from gluon import *
from gluon.shell import env
from applications.zcomx.modules.logger import set_cli_logging
VERSION = 'Version 0.1'
APP_ENV = env(_... | 20.657143 | 61 | 0.605809 |
import os
import sys
import traceback
from optparse import OptionParser
from gluon import *
from gluon.shell import env
from applications.zcomx.modules.logger import set_cli_logging
VERSION = 'Version 0.1'
APP_ENV = env(__file__.split(os.sep)[-3], import_models=True)
db = APP_ENV['db']
def man_page():
prin... | true | true |
1c279e84a49c43861fb6703ff44428df8901e8b3 | 4,718 | py | Python | tools/api_proto_breaking_change_detector/buf_utils.py | chrisxrepo/envoy | cc1d41e7ee9fbfb7ee3c8f73724cdc41d7c6bbb0 | [
"Apache-2.0"
] | 1 | 2021-09-25T13:30:10.000Z | 2021-09-25T13:30:10.000Z | tools/api_proto_breaking_change_detector/buf_utils.py | chrisxrepo/envoy | cc1d41e7ee9fbfb7ee3c8f73724cdc41d7c6bbb0 | [
"Apache-2.0"
] | 312 | 2021-04-19T01:53:05.000Z | 2022-03-28T08:28:56.000Z | tools/api_proto_breaking_change_detector/buf_utils.py | chrisxrepo/envoy | cc1d41e7ee9fbfb7ee3c8f73724cdc41d7c6bbb0 | [
"Apache-2.0"
] | 1 | 2020-12-14T10:20:35.000Z | 2020-12-14T10:20:35.000Z | from pathlib import Path
from typing import List, Union, Tuple
from detector_errors import ChangeDetectorError, ChangeDetectorInitializeError
from tools.base.utils import cd_and_return
from tools.run_command import run_command
def _generate_buf_args(target_path, config_file_loc, additional_args):
buf_args = []
... | 44.509434 | 163 | 0.689699 | from pathlib import Path
from typing import List, Union, Tuple
from detector_errors import ChangeDetectorError, ChangeDetectorInitializeError
from tools.base.utils import cd_and_return
from tools.run_command import run_command
def _generate_buf_args(target_path, config_file_loc, additional_args):
buf_args = []
... | true | true |
1c279fafb5c8178542162f9d28cf5ac5b4a2aefa | 1,123 | py | Python | src/robobase/dhmatrix.py | Ilya-Belyanov/robobase | 2e2245ac4af68544ddbaddf87866925d80f5688b | [
"MIT"
] | null | null | null | src/robobase/dhmatrix.py | Ilya-Belyanov/robobase | 2e2245ac4af68544ddbaddf87866925d80f5688b | [
"MIT"
] | null | null | null | src/robobase/dhmatrix.py | Ilya-Belyanov/robobase | 2e2245ac4af68544ddbaddf87866925d80f5688b | [
"MIT"
] | null | null | null | import sympy as sy
class DHMatrix:
"""Класс для работы с матрицей Денавита-Хартенберга"""
@staticmethod
def matrix(r_length, alpha, d_length, theta):
"""Возвращает матрицу Денавита-Хартенберга из входных параметров"""
return sy.Matrix([[sy.cos(theta), -1 * sy.sin(theta) * sy.cos(alpha),
... | 43.192308 | 89 | 0.573464 | import sympy as sy
class DHMatrix:
@staticmethod
def matrix(r_length, alpha, d_length, theta):
return sy.Matrix([[sy.cos(theta), -1 * sy.sin(theta) * sy.cos(alpha),
sy.sin(theta) * sy.sin(alpha), r_length * sy.cos(theta)],
[sy.sin(theta), sy.cos(the... | true | true |
1c27a0018fc025814e2514586032832db4277bfa | 25,461 | py | Python | python/paddle/distributed/utils.py | 2742195759/Paddle | ce034db1834af85539b22ab68492df9972ff3e69 | [
"Apache-2.0"
] | 4 | 2021-02-08T13:07:15.000Z | 2021-10-22T00:58:33.000Z | python/paddle/distributed/utils.py | 2742195759/Paddle | ce034db1834af85539b22ab68492df9972ff3e69 | [
"Apache-2.0"
] | 2 | 2019-07-26T04:06:05.000Z | 2019-07-29T04:25:24.000Z | python/paddle/distributed/utils.py | 2742195759/Paddle | ce034db1834af85539b22ab68492df9972ff3e69 | [
"Apache-2.0"
] | 1 | 2020-11-25T10:41:52.000Z | 2020-11-25T10:41:52.000Z | # Copyright (c) 2019 PaddlePaddle Authors. 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... | 33.369594 | 121 | 0.563725 |
import functools
import logging
import socket
import time
import os
import signal
import copy
import sys
import six
import subprocess
from contextlib import closing
import socket
from paddle.fluid import core
from paddle.distributed.fleet.launch_utils import get_backend_by_compile_flag
from distutils.util... | true | true |
1c27a00d7e01a76d18e327697d9ecc4797c7a0fa | 544 | py | Python | backend/autocompleter.py | reviewgramweb/reviewgram | 5c54409ec03143feca93da1b8fe960bc0e40d19f | [
"MIT"
] | null | null | null | backend/autocompleter.py | reviewgramweb/reviewgram | 5c54409ec03143feca93da1b8fe960bc0e40d19f | [
"MIT"
] | 13 | 2020-02-23T10:49:21.000Z | 2020-06-19T08:04:40.000Z | backend/autocompleter.py | reviewgramweb/reviewgram | 5c54409ec03143feca93da1b8fe960bc0e40d19f | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
# Абстрактный класс для дополнения данных
class Autocompleter(ABC):
def __init__(self):
super().__init__()
# Получение автодополнений, где
# con - соединение
# tokens (list) - список лексем
# content (str) - содержимое файла
# line (int) - строка
... | 27.2 | 89 | 0.654412 | from abc import ABC, abstractmethod
class Autocompleter(ABC):
def __init__(self):
super().__init__()
@abstractmethod
def getAutocompletions(self, con, tokens, content, line, position, chatId, branchId):
pass
| true | true |
1c27a0cd22dbf660b8526f2af26ff99a640e3862 | 5,856 | py | Python | webviz_config/_theme_class.py | dotfloat/webviz-config | 2538035c81075b36d23e74642c5d0454c741c142 | [
"MIT"
] | null | null | null | webviz_config/_theme_class.py | dotfloat/webviz-config | 2538035c81075b36d23e74642c5d0454c741c142 | [
"MIT"
] | null | null | null | webviz_config/_theme_class.py | dotfloat/webviz-config | 2538035c81075b36d23e74642c5d0454c741c142 | [
"MIT"
] | null | null | null | import copy
import json
class WebvizConfigTheme:
"""Webviz config themes are all instances of this class. The only mandatory
property is the theme name set at initialization.
"""
def __init__(self, theme_name: str):
self.theme_name = theme_name
self._csp = {
"default-src"... | 39.302013 | 99 | 0.577527 | import copy
import json
class WebvizConfigTheme:
def __init__(self, theme_name: str):
self.theme_name = theme_name
self._csp = {
"default-src": "'none'",
"connect-src": "'self'",
"prefetch-src": "'self'",
"style-src": ["'self'", "'unsafe-inline'"],... | true | true |
1c27a0d14bde05c1fed0a731650cae8e929d96a2 | 1,454 | py | Python | html/semantics/embedded-content/media-elements/track/track-element/cors/support/cors-tester.py | watilde/web-platform-tests | 97e16bef6d6599ae805521e2007a9430a12aa144 | [
"BSD-3-Clause"
] | 8 | 2019-04-09T21:13:05.000Z | 2021-11-23T17:25:18.000Z | html/semantics/embedded-content/media-elements/track/track-element/cors/support/cors-tester.py | watilde/web-platform-tests | 97e16bef6d6599ae805521e2007a9430a12aa144 | [
"BSD-3-Clause"
] | 14 | 2019-03-18T20:11:48.000Z | 2019-04-23T22:41:46.000Z | html/semantics/embedded-content/media-elements/track/track-element/cors/support/cors-tester.py | watilde/web-platform-tests | 97e16bef6d6599ae805521e2007a9430a12aa144 | [
"BSD-3-Clause"
] | 11 | 2019-04-12T01:20:16.000Z | 2021-11-23T17:25:02.000Z | from wptserve.handlers import HTTPException
import urllib
def main(request, response):
if request.method != "GET":
raise HTTPException(400, message="Method was not GET")
if not "id" in request.GET:
raise HTTPException(400, message="No id")
id = request.GET['id']
if "read" in request.... | 27.961538 | 82 | 0.612792 | from wptserve.handlers import HTTPException
import urllib
def main(request, response):
if request.method != "GET":
raise HTTPException(400, message="Method was not GET")
if not "id" in request.GET:
raise HTTPException(400, message="No id")
id = request.GET['id']
if "read" in request.... | true | true |
1c27a22fef42a25ba358c673204d7f67a9cd023e | 588 | py | Python | 5-2/rest_api_with_tweepy.py | hirotosuzuki/book_PythonCrawlingAndScraping | db6dcbdbe597f293330c56aeb9dc3703b5946e64 | [
"CC0-1.0"
] | null | null | null | 5-2/rest_api_with_tweepy.py | hirotosuzuki/book_PythonCrawlingAndScraping | db6dcbdbe597f293330c56aeb9dc3703b5946e64 | [
"CC0-1.0"
] | null | null | null | 5-2/rest_api_with_tweepy.py | hirotosuzuki/book_PythonCrawlingAndScraping | db6dcbdbe597f293330c56aeb9dc3703b5946e64 | [
"CC0-1.0"
] | null | null | null | import os
import tweepy # pip install tweepy
# 環境変数から認証情報を取得する。
CONSUMER_KEY = os.environ['CONSUMER_KEY']
CONSUMER_SECRET = os.environ['CONSUMER_SECRET']
ACCESS_TOKEN = os.environ['ACCESS_TOKEN']
ACCESS_TOKEN_SECRET = os.environ['ACCESS_TOKEN_SECRET']
# 認証情報を設定する。
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_S... | 29.4 | 73 | 0.785714 | import os
import tweepy
CONSUMER_KEY = os.environ['CONSUMER_KEY']
CONSUMER_SECRET = os.environ['CONSUMER_SECRET']
ACCESS_TOKEN = os.environ['ACCESS_TOKEN']
ACCESS_TOKEN_SECRET = os.environ['ACCESS_TOKEN_SECRET']
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_... | true | true |
1c27a29dc002375bf2622bcb9193862c4ad09ae6 | 1,691 | py | Python | samples/generated_samples/baremetalsolution_v2_generated_bare_metal_solution_create_snapshot_schedule_policy_sync.py | renovate-bot/pythonbaremetalsolution | 4e5d230a5468b444c346bd0216db7db02ce60e0c | [
"Apache-2.0"
] | 3 | 2022-03-27T04:38:54.000Z | 2022-03-31T03:30:30.000Z | samples/generated_samples/baremetalsolution_v2_generated_bare_metal_solution_create_snapshot_schedule_policy_sync.py | renovate-bot/pythonbaremetalsolution | 4e5d230a5468b444c346bd0216db7db02ce60e0c | [
"Apache-2.0"
] | 1 | 2022-03-24T18:33:49.000Z | 2022-03-24T18:37:11.000Z | samples/generated_samples/baremetalsolution_v2_generated_bare_metal_solution_create_snapshot_schedule_policy_sync.py | googleapis/python-bare-metal-solution | 2cfdd4d02f3ace3ea2701584e636845f40695a7b | [
"Apache-2.0"
] | 1 | 2022-03-24T16:06:23.000Z | 2022-03-24T16:06:23.000Z | # -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 35.978723 | 92 | 0.784743 |
from google.cloud import bare_metal_solution_v2
def sample_create_snapshot_schedule_policy():
client = bare_metal_solution_v2.BareMetalSolutionClient()
request = bare_metal_solution_v2.CreateSnapshotSchedulePolicyRequest(
parent="parent_value",
snapshot_sch... | true | true |
1c27a46a5145a7bad8f90b81b9c82421e98c8f2a | 31,121 | py | Python | neutron/api/extensions.py | rolaya/neutron | 49f6773998ce8e8c68197a853d7f12e5e9dc6df5 | [
"Apache-2.0"
] | null | null | null | neutron/api/extensions.py | rolaya/neutron | 49f6773998ce8e8c68197a853d7f12e5e9dc6df5 | [
"Apache-2.0"
] | null | null | null | neutron/api/extensions.py | rolaya/neutron | 49f6773998ce8e8c68197a853d7f12e5e9dc6df5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2011 OpenStack Foundation.
# 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 req... | 43.283727 | 100 | 0.607371 |
import collections
import imp
import os
from neutron_lib.api import extensions as api_extensions
from neutron_lib import exceptions
from neutron_lib.plugins import directory
from oslo_config import cfg
from oslo_log import log as logging
from oslo_middleware import base
import routes
import webob.dec
im... | true | true |
1c27a522f87748555e2d1e9b772b057399d385ed | 950 | py | Python | e2e/scripts/map.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | null | null | null | e2e/scripts/map.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | 9 | 2021-03-01T20:47:52.000Z | 2022-02-12T20:49:50.000Z | e2e/scripts/map.py | Camilo-Mendoza/streamlit-ML | be8aafdf9f334b92a6e056e6c4f994da82587f80 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit 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 applicabl... | 31.666667 | 74 | 0.728421 |
import streamlit as st
import pandas as pd
import numpy as np
coords = np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4]
df = pd.DataFrame(coords, columns=['lat', 'lon'])
st.map(df)
st.map(df, zoom=8)
| true | true |
1c27a64070bab41ed974d968a8c5cc2d5714ae62 | 5,123 | py | Python | OSABA/pix2pix/models/copy_network.py | tsingqguo/ABA | c32edbbe5705b0332a08951b5ee436b5f58c2e70 | [
"MIT"
] | 12 | 2021-07-27T07:18:24.000Z | 2022-03-09T13:52:20.000Z | OSABA/pix2pix/models/copy_network.py | tsingqguo/ABA | c32edbbe5705b0332a08951b5ee436b5f58c2e70 | [
"MIT"
] | 2 | 2021-08-03T09:21:33.000Z | 2021-12-29T14:25:30.000Z | OSABA/pix2pix/models/copy_network.py | tsingqguo/ABA | c32edbbe5705b0332a08951b5ee436b5f58c2e70 | [
"MIT"
] | 3 | 2021-11-18T14:46:40.000Z | 2022-01-03T15:47:23.000Z | import torch
import torch.nn as nn
from torch.nn import init
import functools
from torch.optim import lr_scheduler
from torch.nn import functional as F
class cheng_UnetGenerator(nn.Module):
def __init__(self,input_nc,output_nc,num_downs,ngf=64,norm_layer=nn.BatchNorm2d,use_dropout=False):
super(cheng_Un... | 36.077465 | 103 | 0.604724 | import torch
import torch.nn as nn
from torch.nn import init
import functools
from torch.optim import lr_scheduler
from torch.nn import functional as F
class cheng_UnetGenerator(nn.Module):
def __init__(self,input_nc,output_nc,num_downs,ngf=64,norm_layer=nn.BatchNorm2d,use_dropout=False):
super(cheng_Un... | true | true |
1c27a7df678fde810ed1d72733f22efbe5cd4805 | 98,431 | py | Python | metarecord/tests/test_api.py | City-of-Helsinki/helerm | b7475d0b8f73b134a3e5d2cbb12650d64ef0008a | [
"MIT"
] | 2 | 2017-04-21T15:36:23.000Z | 2020-12-04T09:32:39.000Z | metarecord/tests/test_api.py | City-of-Helsinki/helerm | b7475d0b8f73b134a3e5d2cbb12650d64ef0008a | [
"MIT"
] | 168 | 2016-10-05T12:58:41.000Z | 2021-08-31T14:29:56.000Z | metarecord/tests/test_api.py | City-of-Helsinki/helerm | b7475d0b8f73b134a3e5d2cbb12650d64ef0008a | [
"MIT"
] | 7 | 2016-10-13T12:51:36.000Z | 2021-01-21T13:05:04.000Z | import datetime
import json
import uuid
from unittest import mock
import freezegun
import pytest
import pytz
from django.utils.translation import gettext_lazy as _
from rest_framework.reverse import reverse
from metarecord.models import Action, Classification, Function, Phase, Record
from metarecord.models.bulk_updat... | 40.606848 | 137 | 0.733041 | import datetime
import json
import uuid
from unittest import mock
import freezegun
import pytest
import pytz
from django.utils.translation import gettext_lazy as _
from rest_framework.reverse import reverse
from metarecord.models import Action, Classification, Function, Phase, Record
from metarecord.models.bulk_updat... | true | true |
1c27a8094357b27db837b558ee94f5f767831b83 | 2,285 | py | Python | sample_data/Set-PD-Ix-100/3_Analyses/DOE_Ix-PD-100/Input_point1/Imperfection_point1/DoE_point48/script_DoE48_write_linear_buckling_inputs.py | hanklu2020/mabessa_F3DAS | 57b1bd1cb85d96567ad1044c216535ab3df88db3 | [
"BSD-3-Clause"
] | null | null | null | sample_data/Set-PD-Ix-100/3_Analyses/DOE_Ix-PD-100/Input_point1/Imperfection_point1/DoE_point48/script_DoE48_write_linear_buckling_inputs.py | hanklu2020/mabessa_F3DAS | 57b1bd1cb85d96567ad1044c216535ab3df88db3 | [
"BSD-3-Clause"
] | null | null | null | sample_data/Set-PD-Ix-100/3_Analyses/DOE_Ix-PD-100/Input_point1/Imperfection_point1/DoE_point48/script_DoE48_write_linear_buckling_inputs.py | hanklu2020/mabessa_F3DAS | 57b1bd1cb85d96567ad1044c216535ab3df88db3 | [
"BSD-3-Clause"
] | null | null | null | #=====================================================================#
#
# Created by M.A. Bessa on 12-Nov-2019 03:25:41
#=====================================================================#
from abaqusConstants import *
from odbAccess import *
import os
import numpy
import collections
#
os.chdir(r'/home/gkus/F3DAS-... | 38.728814 | 144 | 0.639387 |
from abaqusConstants import *
from odbAccess import *
import os
import numpy
import collections
os.chdir(r'/home/gkus/F3DAS-master/3_Analyses/DOE_Ix-PD-100/Input_point1/Imperfection_point1/DoE_point48')
with open('DoE48_linear_buckle.inp','w') as File:
File.write('** Include file with mesh of structure:\n')
... | true | true |
1c27a910f6958d600e81a20717102b3799a814c9 | 40 | py | Python | PyInstaller/hooks/hook-pywt.py | BrianZ111/TGC-Designer-Tools | bc0cca96444b33c0ae93e5c5d43e40061cdef6b8 | [
"Apache-2.0"
] | 38 | 2019-02-07T21:54:25.000Z | 2022-03-13T14:52:56.000Z | PyInstaller/hooks/hook-pywt.py | BrianZ111/TGC-Designer-Tools | bc0cca96444b33c0ae93e5c5d43e40061cdef6b8 | [
"Apache-2.0"
] | 86 | 2019-02-07T01:54:03.000Z | 2022-03-25T07:18:30.000Z | PyInstaller/hooks/hook-pywt.py | BrianZ111/TGC-Designer-Tools | bc0cca96444b33c0ae93e5c5d43e40061cdef6b8 | [
"Apache-2.0"
] | 20 | 2019-03-04T20:08:14.000Z | 2022-02-09T19:33:47.000Z | hiddenimports=['pywt._extensions._cwt']
| 20 | 39 | 0.8 | hiddenimports=['pywt._extensions._cwt']
| true | true |
1c27aaba87ff8f916e98642ac68d293ba3145aec | 1,577 | py | Python | install-appd-machine-agent.py | nvkk-devops/python-automation-scripts | 8930dde979124fa8b5812e60243a25952a2c8013 | [
"MIT"
] | null | null | null | install-appd-machine-agent.py | nvkk-devops/python-automation-scripts | 8930dde979124fa8b5812e60243a25952a2c8013 | [
"MIT"
] | null | null | null | install-appd-machine-agent.py | nvkk-devops/python-automation-scripts | 8930dde979124fa8b5812e60243a25952a2c8013 | [
"MIT"
] | null | null | null | import winrm
import os
print('\n********************************\n')
print(os.environ['winrm_endpoint'])
print(os.environ['domain_username'])
print('\n********************************\n')
s = winrm.Session(os.environ['winrm_endpoint'], auth=(os.environ['domain_username'], os.environ['domain_password']), transport='nt... | 35.044444 | 134 | 0.72733 | import winrm
import os
print('\n********************************\n')
print(os.environ['winrm_endpoint'])
print(os.environ['domain_username'])
print('\n********************************\n')
s = winrm.Session(os.environ['winrm_endpoint'], auth=(os.environ['domain_username'], os.environ['domain_password']), transport='nt... | true | true |
1c27aacde8f958ba7bc88aa3b59a69f5fc3072bb | 3,508 | py | Python | xpxchain/models/mosaic/network_currency_mosaic.py | Sharmelen/python-xpx-chain-sdk | a1bfb1b7da20d50dd5049a950794955d1c492a71 | [
"Apache-2.0"
] | 1 | 2021-02-02T12:46:51.000Z | 2021-02-02T12:46:51.000Z | xpxchain/models/mosaic/network_currency_mosaic.py | Sharmelen/python-xpx-chain-sdk | a1bfb1b7da20d50dd5049a950794955d1c492a71 | [
"Apache-2.0"
] | 4 | 2021-02-06T06:14:27.000Z | 2021-07-20T11:41:44.000Z | xpxchain/models/mosaic/network_currency_mosaic.py | Sharmelen/python-xpx-chain-sdk | a1bfb1b7da20d50dd5049a950794955d1c492a71 | [
"Apache-2.0"
] | 1 | 2021-08-09T15:45:21.000Z | 2021-08-09T15:45:21.000Z | """
network_currency_mosaic
=======================
Description of a per-network currency mosaic.
License
-------
Copyright 2019 NEM
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 c... | 31.044248 | 81 | 0.662201 |
from __future__ import annotations
import typing
from .mosaic import Mosaic
from ..blockchain.network_type import OptionalNetworkType
from ..namespace.namespace_id import NamespaceId
from ... import util
__all__ = ['NetworkCurrencyMosaic']
class NetworkCurrencyMosaic(Mosaic):
__slots__ = ()
NAMESPACE_ID: ... | true | true |
1c27ac1e93e213ecc8403ae5114925f538908078 | 7,507 | py | Python | keras/tests/custom_training_loop_test.py | websterkovacek/keras | 631102a7c9efb57a351355090796d5850285663c | [
"Apache-2.0"
] | 1 | 2021-01-01T00:16:04.000Z | 2021-01-01T00:16:04.000Z | keras/tests/custom_training_loop_test.py | websterkovacek/keras | 631102a7c9efb57a351355090796d5850285663c | [
"Apache-2.0"
] | 1 | 2021-01-10T15:10:05.000Z | 2021-01-25T09:19:15.000Z | keras/tests/custom_training_loop_test.py | websterkovacek/keras | 631102a7c9efb57a351355090796d5850285663c | [
"Apache-2.0"
] | 1 | 2021-01-10T09:06:39.000Z | 2021-01-10T09:06:39.000Z | # Copyright 2019 The TensorFlow Authors. 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 applica... | 31.020661 | 80 | 0.667644 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from absl.testing import parameterized
import numpy as np
import keras
from keras import keras_parameterized
from keras import testing_utils
class LayerWithLosses(kera... | true | true |
1c27ac60e4a9ed93de498f8ca820847c799293f9 | 21,249 | py | Python | tests/language/test_schema_parser.py | patrys/graphql-core-next | f6b078bddae4dd8a48ebf878a6fd5fbbac52bd1b | [
"MIT"
] | null | null | null | tests/language/test_schema_parser.py | patrys/graphql-core-next | f6b078bddae4dd8a48ebf878a6fd5fbbac52bd1b | [
"MIT"
] | 3 | 2021-03-20T05:19:34.000Z | 2021-06-02T03:27:28.000Z | tests/language/test_schema_parser.py | patrys/graphql-core-next | f6b078bddae4dd8a48ebf878a6fd5fbbac52bd1b | [
"MIT"
] | null | null | null | from textwrap import dedent
from pytest import raises
from graphql.error import GraphQLSyntaxError
from graphql.language import (
BooleanValueNode,
DocumentNode,
EnumTypeDefinitionNode,
EnumValueDefinitionNode,
FieldDefinitionNode,
InputObjectTypeDefinitionNode,
InputValueDefinitionNode,
... | 33.835987 | 87 | 0.552308 | from textwrap import dedent
from pytest import raises
from graphql.error import GraphQLSyntaxError
from graphql.language import (
BooleanValueNode,
DocumentNode,
EnumTypeDefinitionNode,
EnumValueDefinitionNode,
FieldDefinitionNode,
InputObjectTypeDefinitionNode,
InputValueDefinitionNode,
... | true | true |
1c27acfde5bba2e2af9be71de3a5abcf87da4ba4 | 1,292 | py | Python | hcipy/atmosphere/modal_adaptive_optics_layer.py | spbos/hcipy | ec679dae8295b7e2a94648da37619574dd8bd92a | [
"MIT"
] | 1 | 2021-04-12T06:25:55.000Z | 2021-04-12T06:25:55.000Z | hcipy/atmosphere/modal_adaptive_optics_layer.py | spbos/hcipy | ec679dae8295b7e2a94648da37619574dd8bd92a | [
"MIT"
] | null | null | null | hcipy/atmosphere/modal_adaptive_optics_layer.py | spbos/hcipy | ec679dae8295b7e2a94648da37619574dd8bd92a | [
"MIT"
] | null | null | null | from .atmospheric_model import AtmosphericLayer
from ..math_util import inverse_tikhonov
import numpy as np
class ModalAdaptiveOpticsLayer(AtmosphericLayer):
def __init__(self, layer, controlled_modes, lag):
self.layer = layer
self.controlled_modes = controlled_modes
AtmosphericLayer.__init__(self, layer.inpu... | 27.489362 | 109 | 0.779412 | from .atmospheric_model import AtmosphericLayer
from ..math_util import inverse_tikhonov
import numpy as np
class ModalAdaptiveOpticsLayer(AtmosphericLayer):
def __init__(self, layer, controlled_modes, lag):
self.layer = layer
self.controlled_modes = controlled_modes
AtmosphericLayer.__init__(self, layer.inpu... | true | true |
1c27adcbe2cc6f94aaf4bbc18bb9288bdb8341d2 | 1,205 | py | Python | api/lint.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | 149 | 2021-07-16T13:37:30.000Z | 2022-03-21T10:13:15.000Z | api/lint.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | 61 | 2021-07-15T06:39:05.000Z | 2021-12-27T06:58:10.000Z | api/lint.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | 22 | 2021-07-19T07:20:49.000Z | 2022-03-21T10:13:16.000Z | import argparse
from pylint.lint import Run
# list all the files that changed for the current PR
# changedFilesCommand = """git --no-pager diff --name-only FETCH_HEAD $(git merge-base FETCH_HEAD development)"""
parser = argparse.ArgumentParser(prog="LINT")
parser.add_argument(
"-p",
"--path",
help="path... | 20.775862 | 113 | 0.614108 | import argparse
from pylint.lint import Run
parser = argparse.ArgumentParser(prog="LINT")
parser.add_argument(
"-p",
"--path",
help="path to directory you want to run pylint | "
"Default: %(default)s | "
"Type: %(type)s ",
default="./src",
type=str,
)
parser.add_argument(
"-t",
... | true | true |
1c27af59522188c8ba88fc0b1ca3a6e29f71d81e | 4,042 | py | Python | plenum/test/signing/test_create_did_without_endorser.py | anikitinDSR/indy-plenum | f2a03344cdff4edbe0bf3528a8ddf34a8b1c6b85 | [
"Apache-2.0"
] | null | null | null | plenum/test/signing/test_create_did_without_endorser.py | anikitinDSR/indy-plenum | f2a03344cdff4edbe0bf3528a8ddf34a8b1c6b85 | [
"Apache-2.0"
] | null | null | null | plenum/test/signing/test_create_did_without_endorser.py | anikitinDSR/indy-plenum | f2a03344cdff4edbe0bf3528a8ddf34a8b1c6b85 | [
"Apache-2.0"
] | null | null | null | import json
import types
import pytest
from indy.did import create_and_store_my_did
from indy.ledger import build_nym_request
from plenum.common.constants import NYM, STEWARD, ROLE, VERKEY
from plenum.common.exceptions import UnauthorizedClientRequest, RequestNackedException, CouldNotAuthenticate
from plenum.common.t... | 45.931818 | 120 | 0.709797 | import json
import types
import pytest
from indy.did import create_and_store_my_did
from indy.ledger import build_nym_request
from plenum.common.constants import NYM, STEWARD, ROLE, VERKEY
from plenum.common.exceptions import UnauthorizedClientRequest, RequestNackedException, CouldNotAuthenticate
from plenum.common.t... | true | true |
1c27afcb6b8563b26e7e1dfdc89ac62280f0f394 | 1,063 | py | Python | project20/models/my_model.py | mirkobronzi/project20 | e7a9b52d87e21f436117c7020f167454ee78ffd6 | [
"MIT"
] | null | null | null | project20/models/my_model.py | mirkobronzi/project20 | e7a9b52d87e21f436117c7020f167454ee78ffd6 | [
"MIT"
] | 1 | 2020-07-23T17:18:06.000Z | 2020-07-23T17:18:06.000Z | project20/models/my_model.py | mirkobronzi/project20 | e7a9b52d87e21f436117c7020f167454ee78ffd6 | [
"MIT"
] | null | null | null | import logging
import torch.nn as nn
from project20.utils.hp_utils import check_and_log_hp
logger = logging.getLogger(__name__)
class MyModel(nn.Module): # pragma: no cover
"""Simple Model Class.
Inherits from the given framework's model class. This is a simple MLP model.
"""
def __init__(self, h... | 25.926829 | 80 | 0.625588 | import logging
import torch.nn as nn
from project20.utils.hp_utils import check_and_log_hp
logger = logging.getLogger(__name__)
class MyModel(nn.Module):
def __init__(self, hyper_params):
super(MyModel, self).__init__()
check_and_log_hp(['size'], hyper_params)
self.hyper_params = hyp... | true | true |
1c27b053435ede74dbed81dfc362becfd09cc50c | 7,689 | py | Python | diff_cover/diff_quality_tool.py | noahp/diff_cover | 60220891458503b9a51c424ad54bb540f7b96413 | [
"Apache-2.0"
] | null | null | null | diff_cover/diff_quality_tool.py | noahp/diff_cover | 60220891458503b9a51c424ad54bb540f7b96413 | [
"Apache-2.0"
] | null | null | null | diff_cover/diff_quality_tool.py | noahp/diff_cover | 60220891458503b9a51c424ad54bb540f7b96413 | [
"Apache-2.0"
] | null | null | null | """
Implement the command-line tool interface for diff_quality.
"""
from __future__ import unicode_literals
import argparse
import logging
import os
import sys
import six
import diff_cover
from diff_cover.diff_cover_tool import COMPARE_BRANCH_HELP, DIFF_RANGE_NOTATION_HELP, FAIL_UNDER_HELP, \
IGNORE_STAGED_HELP,... | 29.015094 | 104 | 0.631552 | from __future__ import unicode_literals
import argparse
import logging
import os
import sys
import six
import diff_cover
from diff_cover.diff_cover_tool import COMPARE_BRANCH_HELP, DIFF_RANGE_NOTATION_HELP, FAIL_UNDER_HELP, \
IGNORE_STAGED_HELP, IGNORE_UNSTAGED_HELP, EXCLUDE_HELP, HTML_REPORT_HELP, CSS_FILE_HELP... | true | true |
1c27b05909ffca121cdbd886690fbff9cc4688ff | 1,584 | py | Python | setup.py | natgeosociety/python3-saml | f4a63436ef2e5feeae5868258be23232aa52973b | [
"MIT"
] | null | null | null | setup.py | natgeosociety/python3-saml | f4a63436ef2e5feeae5868258be23232aa52973b | [
"MIT"
] | null | null | null | setup.py | natgeosociety/python3-saml | f4a63436ef2e5feeae5868258be23232aa52973b | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2010-2018 OneLogin, Inc.
# MIT License
from setuptools import setup
setup(
name='ngs-python3-saml',
version='1.5.0-ngs',
description='Onelogin Python Toolkit. Add SAML support to your Python software using this library',
classifiers=[
... | 28.8 | 103 | 0.576389 |
from setuptools import setup
setup(
name='ngs-python3-saml',
version='1.5.0-ngs',
description='Onelogin Python Toolkit. Add SAML support to your Python software using this library',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
... | true | true |
1c27b1cfb98574fdc745cb5abe75817443dea5a8 | 2,499 | py | Python | Leak #5 - Lost In Translation/windows/Resources/Ops/PyScripts/monitorwrap.py | bidhata/EquationGroupLeaks | 1ff4bc115cb2bd5bf2ed6bf769af44392926830c | [
"Unlicense"
] | 9 | 2019-11-22T04:58:40.000Z | 2022-02-26T16:47:28.000Z | Python.Fuzzbunch/Resources/Ops/PyScripts/monitorwrap.py | 010001111/Vx-Suites | 6b4b90a60512cce48aa7b87aec5e5ac1c4bb9a79 | [
"MIT"
] | null | null | null | Python.Fuzzbunch/Resources/Ops/PyScripts/monitorwrap.py | 010001111/Vx-Suites | 6b4b90a60512cce48aa7b87aec5e5ac1c4bb9a79 | [
"MIT"
] | 8 | 2017-09-27T10:31:18.000Z | 2022-01-08T10:30:46.000Z |
import ops
import ops.cmd
import ops.data
import sys
import dsz
from optparse import OptionParser
if (__name__ == '__main__'):
parser = OptionParser()
parser.add_option('-t', '--tag', action='store', type='string', default='', dest='tag', help='Cache-tag to save this under')
parser.add_option('-s', '--save... | 51 | 156 | 0.653461 |
import ops
import ops.cmd
import ops.data
import sys
import dsz
from optparse import OptionParser
if (__name__ == '__main__'):
parser = OptionParser()
parser.add_option('-t', '--tag', action='store', type='string', default='', dest='tag', help='Cache-tag to save this under')
parser.add_option('-s', '--save... | true | true |
1c27b25eb700d7b30a2e263338d53870ab7e5a58 | 5,762 | py | Python | app.py | siyu6974/mymazda-relay | c22848dfb162643bb9d53d312bd37711c8fabe04 | [
"MIT"
] | null | null | null | app.py | siyu6974/mymazda-relay | c22848dfb162643bb9d53d312bd37711c8fabe04 | [
"MIT"
] | null | null | null | app.py | siyu6974/mymazda-relay | c22848dfb162643bb9d53d312bd37711c8fabe04 | [
"MIT"
] | null | null | null | import stat
from flask import Flask, request, jsonify, render_template
from urllib.parse import urlparse, parse_qs
import pymazda
import requests
import re
app = Flask(__name__)
@app.route("/")
def hello_world():
return render_template('index.html')
@app.route("/vehicles_html")
async def getVehicles_html() -> None... | 29.548718 | 78 | 0.68084 | import stat
from flask import Flask, request, jsonify, render_template
from urllib.parse import urlparse, parse_qs
import pymazda
import requests
import re
app = Flask(__name__)
@app.route("/")
def hello_world():
return render_template('index.html')
@app.route("/vehicles_html")
async def getVehicles_html() -> None... | true | true |
1c27b335054bebe545afbcf410a5e43b5e3091a6 | 4,678 | py | Python | tests/test_cases/project_service_test.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 5 | 2021-02-25T15:54:28.000Z | 2021-04-22T15:43:36.000Z | tests/test_cases/project_service_test.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 7 | 2021-03-15T16:26:23.000Z | 2022-03-16T13:45:18.000Z | tests/test_cases/project_service_test.py | webu/pyopenproject | 40b2cb9fe0fa3f89bc0fe2a3be323422d9ecf966 | [
"MIT"
] | 6 | 2021-06-18T18:59:11.000Z | 2022-03-27T04:58:52.000Z | import json
import os
from pyopenproject.business.exception.business_error import BusinessError
from pyopenproject.business.util.filter import Filter
from pyopenproject.model.project import Project
from pyopenproject.model.user import User
from pyopenproject.model.work_package import WorkPackage
from tests.test_cases.... | 38.661157 | 106 | 0.662035 | import json
import os
from pyopenproject.business.exception.business_error import BusinessError
from pyopenproject.business.util.filter import Filter
from pyopenproject.model.project import Project
from pyopenproject.model.user import User
from pyopenproject.model.work_package import WorkPackage
from tests.test_cases.... | true | true |
1c27b6257cde8bbb2c5cb330444dcadbce16d486 | 10,322 | py | Python | slowfast/datasets/utils.py | Morgan-Gan/Slowfast-TSM | ca6783df0cc9577abb1735b2cab52653d569beff | [
"Apache-2.0"
] | null | null | null | slowfast/datasets/utils.py | Morgan-Gan/Slowfast-TSM | ca6783df0cc9577abb1735b2cab52653d569beff | [
"Apache-2.0"
] | null | null | null | slowfast/datasets/utils.py | Morgan-Gan/Slowfast-TSM | ca6783df0cc9577abb1735b2cab52653d569beff | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import logging
import numpy as np
import os
import random
import time
from collections import defaultdict
import cv2
import torch
from fvcore.common.file_io import PathManager
from . import transform as transform
logger = logging.getLogger(__name__)
def retry_load_images(image_paths, retry=1... | 34.292359 | 128 | 0.619744 |
import logging
import numpy as np
import os
import random
import time
from collections import defaultdict
import cv2
import torch
from fvcore.common.file_io import PathManager
from . import transform as transform
logger = logging.getLogger(__name__)
def retry_load_images(image_paths, retry=10, backend="pytorch"):... | true | true |
1c27b62637ca8bcfa654468664e66c2897c95aaf | 8,187 | py | Python | docs/conf.py | javipalanca/django-usda-mongo | bfb26778e0d366d094297f999cf8e42659383e41 | [
"BSD-3-Clause"
] | 1 | 2015-05-12T13:17:42.000Z | 2015-05-12T13:17:42.000Z | docs/conf.py | javipalanca/django-usda-mongo | bfb26778e0d366d094297f999cf8e42659383e41 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | javipalanca/django-usda-mongo | bfb26778e0d366d094297f999cf8e42659383e41 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# complexity documentation build configuration file, created by
# sphinx-quickstart on Tue Jul 9 22:26:36 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# ... | 32.105882 | 80 | 0.717968 |
import sys, os
cwd = os.getcwd()
parent = os.path.dirname(cwd)
sys.path.append(parent)
import usda_mongo
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode']
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'django-usda-mongo'
copyright ... | true | true |
1c27b6a8195f8731e2ee0f215b4c6067c15d4b6d | 4,396 | py | Python | backend/src/gloader/xml/sax/drivers/drv_xmlproc.py | anrl/gini4 | d26649c8c02a1737159e48732cf1ee15ba2a604d | [
"MIT"
] | 11 | 2019-03-02T20:39:34.000Z | 2021-09-02T19:47:38.000Z | backend/src/gloader/xml/sax/drivers/drv_xmlproc.py | anrl/gini4 | d26649c8c02a1737159e48732cf1ee15ba2a604d | [
"MIT"
] | 29 | 2019-01-17T15:44:48.000Z | 2021-06-02T00:19:40.000Z | backend/src/gloader/xml/sax/drivers/drv_xmlproc.py | anrl/gini4 | d26649c8c02a1737159e48732cf1ee15ba2a604d | [
"MIT"
] | 11 | 2019-01-28T05:00:55.000Z | 2021-11-12T03:08:32.000Z | """
A SAX driver for xmlproc
$Id: drv_xmlproc.py,v 1.13 2001/12/30 12:13:45 loewis Exp $
"""
version="0.95"
from xml.sax import saxlib, saxutils
from xml.parsers.xmlproc import xmlproc
import os
# --- SAX_XPParser
class SAX_XPParser(saxlib.Parser,xmlproc.Application,xmlproc.DTDConsumer,
xmlproc... | 26.166667 | 87 | 0.648772 |
version="0.95"
from xml.sax import saxlib, saxutils
from xml.parsers.xmlproc import xmlproc
import os
class SAX_XPParser(saxlib.Parser,xmlproc.Application,xmlproc.DTDConsumer,
xmlproc.ErrorHandler,xmlproc.PubIdResolver):
def __init__(self):
saxlib.Parser.__init__(self)
self... | true | true |
1c27b75854d96f29b0b4bec8e7e7101d37c1d5f4 | 25,994 | py | Python | pytorch_lightning/trainer/connectors/logger_connector/result.py | Code-Cornelius/pytorch-lightning | ce95891f6ab21a6cb1e5e6bc46cebafe9aab6057 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/trainer/connectors/logger_connector/result.py | Code-Cornelius/pytorch-lightning | ce95891f6ab21a6cb1e5e6bc46cebafe9aab6057 | [
"Apache-2.0"
] | 1 | 2021-05-17T23:59:43.000Z | 2021-05-17T23:59:43.000Z | pytorch_lightning/trainer/connectors/logger_connector/result.py | Code-Cornelius/pytorch-lightning | ce95891f6ab21a6cb1e5e6bc46cebafe9aab6057 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 38.452663 | 118 | 0.63053 |
from collections.abc import Generator
from dataclasses import asdict, dataclass, replace
from functools import partial, wraps
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torchmetrics import Metric
from typing_extensions import TypedDict
from pytorch_lightning.co... | true | true |
1c27b75ba11955f79117bd24089fb9f5e0dc875f | 4,960 | py | Python | tests/test_haystack_read.py | sgrah-oss/haystackapi | dc6000120e5ef97b174bb1440460ce170f22026e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | tests/test_haystack_read.py | sgrah-oss/haystackapi | dc6000120e5ef97b174bb1440460ce170f22026e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | tests/test_haystack_read.py | sgrah-oss/haystackapi | dc6000120e5ef97b174bb1440460ce170f22026e | [
"BSD-2-Clause",
"Apache-2.0"
] | null | null | null | from unittest.mock import patch
import haystackapi
from haystackapi import Grid, Ref
from haystackapi.ops import HaystackHttpRequest, DEFAULT_MIME_TYPE
from haystackapi.providers import ping
@patch.dict('os.environ', {'HAYSTACK_PROVIDER': 'haystackapi.providers.ping'})
@patch.object(ping.Provider, 'read')
def test_r... | 34.929577 | 78 | 0.696774 | from unittest.mock import patch
import haystackapi
from haystackapi import Grid, Ref
from haystackapi.ops import HaystackHttpRequest, DEFAULT_MIME_TYPE
from haystackapi.providers import ping
@patch.dict('os.environ', {'HAYSTACK_PROVIDER': 'haystackapi.providers.ping'})
@patch.object(ping.Provider, 'read')
def test_r... | true | true |
1c27b9001df1b50011e2452e977dc8f7240f4777 | 357 | py | Python | docs/examples/time_series/predict.py | aykuttasil/mindsdb | 2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad | [
"MIT"
] | 1 | 2022-03-14T00:32:53.000Z | 2022-03-14T00:32:53.000Z | docs/examples/time_series/predict.py | aykuttasil/mindsdb | 2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad | [
"MIT"
] | null | null | null | docs/examples/time_series/predict.py | aykuttasil/mindsdb | 2c36b6f75f13d7104fe4d3dbb7ca307fa84f45ad | [
"MIT"
] | null | null | null | """
"""
from mindsdb import *
# Here we use the model to make predictions (NOTE: You need to run train.py first)
result = MindsDB().predict(predict='Main_Engine_Fuel_Consumption_MT_day', model_name='fuel', from_data = 'fuel_predict.csv')
# you can now print the results
print('The predicted main engine fuel consumpt... | 27.461538 | 124 | 0.761905 |
from mindsdb import *
result = MindsDB().predict(predict='Main_Engine_Fuel_Consumption_MT_day', model_name='fuel', from_data = 'fuel_predict.csv')
print('The predicted main engine fuel consumption')
print(result.predicted_values)
| true | true |
1c27b9707872fe57fab0a06d33d953570e2f671f | 1,355 | py | Python | MetaGen/make_ground_truth_demos.py | zhangir-azerbayev/MetaGen | 1bfb2851973d60e0526c7f3ef47828999e0176d7 | [
"MIT"
] | 1 | 2021-12-31T01:11:45.000Z | 2021-12-31T01:11:45.000Z | MetaGen/make_ground_truth_demos.py | zhangir-azerbayev/MetaGen | 1bfb2851973d60e0526c7f3ef47828999e0176d7 | [
"MIT"
] | null | null | null | MetaGen/make_ground_truth_demos.py | zhangir-azerbayev/MetaGen | 1bfb2851973d60e0526c7f3ef47828999e0176d7 | [
"MIT"
] | 1 | 2021-10-05T01:52:44.000Z | 2021-10-05T01:52:44.000Z | #run from shell with exec(open("ORB_project3/MetaGen/show_images.py").read())
#make gif from command line with convert -delay 50 *.jpg(n) out.gif
import json
import base64
from io import BytesIO
from PIL import Image, ImageDraw
import math
office_subset = ["chair", "keyboard", "laptop", "dining table", "potted plant... | 36.621622 | 103 | 0.637638 |
import json
import base64
from io import BytesIO
from PIL import Image, ImageDraw
import math
office_subset = ["chair", "keyboard", "laptop", "dining table", "potted plant", "cell phone", "bottle"]
f = open("ORB_project3/Data/output_with_gt.json",)
dict = json.load(f)
v = 2
for x in range(300):
... | true | true |
1c27ba47106092a6e339d8d44a97719fbcdad469 | 5,054 | py | Python | atariari/methods/pretrained_agents.py | DuaneNielsen/atari-representation-learning | fe34f389768416deaa6a6ff0bdebba3d05762a55 | [
"MIT"
] | 175 | 2019-09-10T08:11:41.000Z | 2022-03-25T15:37:37.000Z | atariari/methods/pretrained_agents.py | DuaneNielsen/atari-representation-learning | fe34f389768416deaa6a6ff0bdebba3d05762a55 | [
"MIT"
] | 21 | 2019-09-30T14:45:45.000Z | 2022-03-31T04:46:47.000Z | atariari/methods/pretrained_agents.py | DuaneNielsen/atari-representation-learning | fe34f389768416deaa6a6ff0bdebba3d05762a55 | [
"MIT"
] | 40 | 2019-09-11T13:25:27.000Z | 2022-02-14T03:49:01.000Z | from a2c_ppo_acktr import utils
from a2c_ppo_acktr.envs import make_vec_envs as mve
from collections import deque
from itertools import chain
import numpy as np
import torch
import wandb
import time
import os
from atariari.benchmark.envs import make_vec_envs
from atariari.benchmark.episodes import checkpointed_steps_f... | 39.178295 | 109 | 0.657697 | from a2c_ppo_acktr import utils
from a2c_ppo_acktr.envs import make_vec_envs as mve
from collections import deque
from itertools import chain
import numpy as np
import torch
import wandb
import time
import os
from atariari.benchmark.envs import make_vec_envs
from atariari.benchmark.episodes import checkpointed_steps_f... | true | true |
1c27bb2922dd715f215b1dba0d8a97688528e2d7 | 1,716 | py | Python | writeups/pwn/beeper/beeper.py | Nu1LCTF/n1ctf-2018 | 4bde4e5b31b273f780409a48b1f5b809efe38ba4 | [
"MIT"
] | 239 | 2018-03-12T01:53:44.000Z | 2022-03-05T19:12:25.000Z | writeups/pwn/beeper/beeper.py | m4p1e/n1ctf-2018 | 4bde4e5b31b273f780409a48b1f5b809efe38ba4 | [
"MIT"
] | 2 | 2018-03-19T08:22:50.000Z | 2018-04-24T11:10:16.000Z | writeups/pwn/beeper/beeper.py | m4p1e/n1ctf-2018 | 4bde4e5b31b273f780409a48b1f5b809efe38ba4 | [
"MIT"
] | 54 | 2018-03-13T02:13:41.000Z | 2021-12-29T17:54:27.000Z | #BokuWaDokoNiIruNo?
#free 1,2,0 show 0
#"\x6a\x3b\x58\x99\x52\x48\xbb\x2f\x2f\x62\x69\x6e\x2f\x73\x68\x53\x54\x5f\x52\x57\x54\x5e\x0f\x05";
#"\x68\x6f\x64\x20\x01\x81\x34\x24\x01\x01\x01\x01\x48\xb8\x75\x79\x20\x61\x20\x70\x68\x6f\x50\x48\xb8\x61\x6e\x20\x6e\x6f\x74\x20\x62\x50\x48\xb8\x65\x72\x2c\x79\x6f\x75\x20\x63\x... | 35.020408 | 297 | 0.701049 |
from pwn import *
p=process('./beeper')
p.recv()
p.sendline("BokuWaDokoNiIruNo?")
p.recvuntil('choice>>')
p.sendline('2')
p.recvuntil('remove?')
p.sendline('1')
p.recvuntil('choice>>')
p.sendline('2')
p.recvuntil('remove?')
p.sendline('2')
p.recvuntil('choice>>')
p.sendline('2')
p.recvuntil('remove?')
p.sendline('0... | false | true |
1c27bbd11f306f812441045a8011bfe1c8d843d0 | 1,389 | py | Python | TestRobustness/RFTrain/old/instance_model_train_5.23.18_JitterRad-10.0_jitterPerc-1.0.py | aparna-arr/DeepLearningChromatinStructure | f56d36b8fc8b01df407ed7a2526266c4d8e731d4 | [
"MIT"
] | 3 | 2021-07-26T02:06:39.000Z | 2022-03-20T13:00:25.000Z | TestRobustness/RFTrain/old/instance_model_train_5.23.18_JitterRad-10.0_jitterPerc-1.0.py | aparna-arr/DeepLearningChromatinStructure | f56d36b8fc8b01df407ed7a2526266c4d8e731d4 | [
"MIT"
] | null | null | null | TestRobustness/RFTrain/old/instance_model_train_5.23.18_JitterRad-10.0_jitterPerc-1.0.py | aparna-arr/DeepLearningChromatinStructure | f56d36b8fc8b01df407ed7a2526266c4d8e731d4 | [
"MIT"
] | 1 | 2021-06-09T16:04:52.000Z | 2021-06-09T16:04:52.000Z | #!/share/software/user/open/python/3.6.1/bin/python3
from src.ModelDriver import *
## MODIFY THESE PARAMS FOR SPECIFIC RUN ###
X_train = "/oak/stanford/groups/aboettig/Aparna/NNreviews/TestRobustness/jitterData/train_5.23.18_JitterRad-10.0_jitterPerc-1.0_xyz.txt"
Y_train = "/oak/stanford/groups/aboettig/Aparna/NNproj... | 30.195652 | 136 | 0.773218 |
from src.ModelDriver import *
a/NNreviews/TestRobustness/jitterData/train_5.23.18_JitterRad-10.0_jitterPerc-1.0_xyz.txt"
Y_train = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/train_5.23.18_unbalanced_unaugmented_rna_2.txt"
X_dev = "/oak/stanford/groups/aboettig/Aparna/NNproject/clean_data/dev_5.23.18_u... | true | true |
1c27bbd8d81cbd9d1c6f447667468537617345f0 | 25,987 | py | Python | swagger_client/models/get_characters_character_id_industry_jobs_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | swagger_client/models/get_characters_character_id_industry_jobs_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | swagger_client/models/get_characters_character_id_industry_jobs_200_ok.py | rseichter/bootini-star | a80258f01a05e4df38748b8cb47dfadabd42c20d | [
"MIT"
] | null | null | null | # coding: utf-8
"""
EVE Swagger Interface
An OpenAPI for EVE Online # noqa: E501
OpenAPI spec version: 0.8.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class GetCharactersCharacterIdIndustryJobs200Ok(object):
""... | 35.943292 | 449 | 0.660138 |
import pprint
import re
import six
class GetCharactersCharacterIdIndustryJobs200Ok(object):
swagger_types = {
'job_id': 'int',
'installer_id': 'int',
'facility_id': 'int',
'station_id': 'int',
'activity_id': 'int',
'blueprint_id': 'int',
'blueprint_t... | true | true |
1c27bd5c2fafd234afbe61ce160d3468610e110f | 15,388 | py | Python | sdk/python/pulumi_azure/datafactory/dataset_http.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/datafactory/dataset_http.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure/datafactory/dataset_http.py | suresh198526/pulumi-azure | bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7 | [
"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 Any, Mapping, Optional, Sequence, Union
from .. import _utilitie... | 51.986486 | 284 | 0.673707 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
from . import outputs
from ._inputs import *
__all__ = ['DatasetHttp']
class DatasetHttp(pulumi.CustomResource):
def __init__(__self__,
resource_n... | true | true |
1c27bd5e1562bed0759523eb9a8c4fc4e403eb9b | 24,636 | py | Python | utils4/utils.py | S3DEV/utils4 | 6c196c9928914412f0cadcb8b2ce1f0eeb285b25 | [
"MIT"
] | null | null | null | utils4/utils.py | S3DEV/utils4 | 6c196c9928914412f0cadcb8b2ce1f0eeb285b25 | [
"MIT"
] | null | null | null | utils4/utils.py | S3DEV/utils4 | 6c196c9928914412f0cadcb8b2ce1f0eeb285b25 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:Purpose: Central library for general utility-based methods.
This ``utils`` module was the starting place of the original
``utils`` library. Therefore, it's historically been a
'dumping-ground' for general S3DEV utilities and function wrappers
... | 34.074689 | 102 | 0.591086 |
import pandas as pd
import platform
import re
import site
import string
import subprocess
from datetime import datetime
from typing import Union
from utils4.reporterror import reporterror
from utils4.user_interface import ui
def clean_dataframe(df: pd.DataFrame):
repls = {k: '' for k in string.punctuation}
... | true | true |
1c27bd9f7c4a222f5df920da7c5d39ddb94c8bfd | 27,438 | py | Python | monte_carlo_tests/monte_carlo_statsmodels.py | khwilson/EconML | 80264390106a8c57e2286177a2c4f8a47b51a32e | [
"MIT"
] | 1 | 2021-09-18T04:07:07.000Z | 2021-09-18T04:07:07.000Z | monte_carlo_tests/monte_carlo_statsmodels.py | khwilson/EconML | 80264390106a8c57e2286177a2c4f8a47b51a32e | [
"MIT"
] | null | null | null | monte_carlo_tests/monte_carlo_statsmodels.py | khwilson/EconML | 80264390106a8c57e2286177a2c4f8a47b51a32e | [
"MIT"
] | 1 | 2020-09-10T21:29:36.000Z | 2020-09-10T21:29:36.000Z | import numpy as np
from econml.dml import LinearDMLCateEstimator
from sklearn.linear_model import LinearRegression, MultiTaskLassoCV, MultiTaskLasso, Lasso
from econml.inference import StatsModelsInference
from econml.tests.test_statsmodels import _summarize
from econml.sklearn_extensions.linear_model import Weigh... | 60.039387 | 122 | 0.423901 | import numpy as np
from econml.dml import LinearDMLCateEstimator
from sklearn.linear_model import LinearRegression, MultiTaskLassoCV, MultiTaskLasso, Lasso
from econml.inference import StatsModelsInference
from econml.tests.test_statsmodels import _summarize
from econml.sklearn_extensions.linear_model import Weigh... | true | true |
1c27bdc6471b29c968ea2d2a27d674ea59e0580b | 757 | py | Python | src/data/IndoorOutdoorData.py | stefantaubert/imageclef-lifelog-2019 | e779526583978be828ebc096538d094cc3cc260e | [
"MIT"
] | 1 | 2020-08-15T01:55:07.000Z | 2020-08-15T01:55:07.000Z | src/data/IndoorOutdoorData.py | stefantaubert/imageclef-lifelog-2019 | e779526583978be828ebc096538d094cc3cc260e | [
"MIT"
] | null | null | null | src/data/IndoorOutdoorData.py | stefantaubert/imageclef-lifelog-2019 | e779526583978be828ebc096538d094cc3cc260e | [
"MIT"
] | null | null | null | from src.io.ReadingContext import ReadingContext
from src.data.DataBase import DataBase
from src.globals import vc_cat_cols
from src.globals import vc_cat_score_cols
name_io = "indoor_outdoor"
indoor_outdoor = [
"indoor",
"outdoor",
]
class IndoorOutdoorData(DataBase):
def __init__(self, ctx: ReadingCont... | 22.264706 | 48 | 0.668428 | from src.io.ReadingContext import ReadingContext
from src.data.DataBase import DataBase
from src.globals import vc_cat_cols
from src.globals import vc_cat_score_cols
name_io = "indoor_outdoor"
indoor_outdoor = [
"indoor",
"outdoor",
]
class IndoorOutdoorData(DataBase):
def __init__(self, ctx: ReadingCont... | true | true |
1c27bde0b0724ffc9761b49ab5f7a4a7b49788c6 | 4,910 | py | Python | tests/wrappers/test_bootstrapping.py | bibinwils/metrics | e1c3fda24f90367803c2b04315ad7c8bced719db | [
"Apache-2.0"
] | 769 | 2021-03-10T22:39:06.000Z | 2022-03-31T02:32:15.000Z | tests/wrappers/test_bootstrapping.py | bibinwils/metrics | e1c3fda24f90367803c2b04315ad7c8bced719db | [
"Apache-2.0"
] | 759 | 2021-03-10T22:29:55.000Z | 2022-03-31T23:48:17.000Z | tests/wrappers/test_bootstrapping.py | bibinwils/metrics | e1c3fda24f90367803c2b04315ad7c8bced719db | [
"Apache-2.0"
] | 193 | 2021-03-12T09:03:02.000Z | 2022-03-31T06:11:36.000Z | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 39.596774 | 117 | 0.712424 |
import operator
from functools import partial
import numpy as np
import pytest
import torch
from sklearn.metrics import mean_squared_error, precision_score, recall_score
from torch import Tensor
from tests.helpers import seed_all
from torchmetrics import MeanSquaredError, Precision, Recall
from torchmetr... | true | true |
1c27be8da3007098d1eb0e816f0bed689afca704 | 3,148 | py | Python | training/supervised/oracles.py | IvoAA/dl2 | f656d24b3d227a35b4fc9e0094150fbe17d055ce | [
"MIT"
] | 73 | 2019-05-13T16:09:57.000Z | 2022-02-23T20:58:31.000Z | training/supervised/oracles.py | IvoAA/dl2 | f656d24b3d227a35b4fc9e0094150fbe17d055ce | [
"MIT"
] | 4 | 2021-05-23T11:17:20.000Z | 2021-07-01T01:15:24.000Z | training/supervised/oracles.py | IvoAA/dl2 | f656d24b3d227a35b4fc9e0094150fbe17d055ce | [
"MIT"
] | 21 | 2019-06-18T06:32:29.000Z | 2022-03-30T11:53:44.000Z | import numpy as np
import torch
class DL2_Oracle:
def __init__(self, learning_rate, net, constraint, use_cuda):
self.learning_rate = learning_rate
self.net = net
self.constraint = constraint
self.use_cuda = use_cuda
def attack(self, x_batch, y_batch, domains, num_restarts, num... | 44.971429 | 121 | 0.604828 | import numpy as np
import torch
class DL2_Oracle:
def __init__(self, learning_rate, net, constraint, use_cuda):
self.learning_rate = learning_rate
self.net = net
self.constraint = constraint
self.use_cuda = use_cuda
def attack(self, x_batch, y_batch, domains, num_restarts, num... | true | true |
1c27bf2eb8723a54feeb18803850e646a3056f7e | 352 | py | Python | arc/arc008/a/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | 2 | 2022-01-22T07:56:58.000Z | 2022-01-24T00:29:37.000Z | arc/arc008/a/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | arc/arc008/a/main.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | import sys
import math
from collections import defaultdict, deque
sys.setrecursionlimit(10 ** 6)
stdin = sys.stdin
INF = float('inf')
ni = lambda: int(ns())
na = lambda: list(map(int, stdin.readline().split()))
ns = lambda: stdin.readline().strip()
N = ni()
ans = (N // 10) * 100
N %= 10
if N >= 7:
ans += 100
el... | 16.761905 | 53 | 0.627841 | import sys
import math
from collections import defaultdict, deque
sys.setrecursionlimit(10 ** 6)
stdin = sys.stdin
INF = float('inf')
ni = lambda: int(ns())
na = lambda: list(map(int, stdin.readline().split()))
ns = lambda: stdin.readline().strip()
N = ni()
ans = (N // 10) * 100
N %= 10
if N >= 7:
ans += 100
el... | true | true |
1c27bf6ad6d460799be906524046ef82d1cc1b7c | 557 | py | Python | mall/apps/users/views.py | stevenJim/Django_mall | 37203806e97d5c0c787859309b86bd106da7eb3e | [
"MIT"
] | null | null | null | mall/apps/users/views.py | stevenJim/Django_mall | 37203806e97d5c0c787859309b86bd106da7eb3e | [
"MIT"
] | null | null | null | mall/apps/users/views.py | stevenJim/Django_mall | 37203806e97d5c0c787859309b86bd106da7eb3e | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import User
class RegisterUsernameView(APIView):
"""
获取用户名个数:
GET: /users/usernames/(?P<username>\w{5,20})/count/
"""
def get(self, re... | 22.28 | 62 | 0.644524 | from django.shortcuts import render
from rest_framework.response import Response
from rest_framework.views import APIView
from .models import User
class RegisterUsernameView(APIView):
def get(self, request, username):
count = User.objects.filter(username=username).count()
context = {
... | true | true |
1c27bffc5d27d5db1543fc7e3e9ff5272a4bc185 | 1,532 | py | Python | connect.py | attlab/k-task-demo | 6e9cd1f90d98990ff19a3c68d8255f07807af867 | [
"MIT"
] | null | null | null | connect.py | attlab/k-task-demo | 6e9cd1f90d98990ff19a3c68d8255f07807af867 | [
"MIT"
] | 1 | 2020-10-05T04:10:14.000Z | 2020-10-05T04:13:35.000Z | connect.py | attlab/k-task-demo | 6e9cd1f90d98990ff19a3c68d8255f07807af867 | [
"MIT"
] | 1 | 2020-11-17T17:04:16.000Z | 2020-11-17T17:04:16.000Z | import psycopg2 as psycopg2
import os
class HandleData():
# this class is used to connect and send data to the database specifieed by
# the environment variable 'DATABASE_URL'. environment variables are stored
# in a file called '.env' in the root directory.
def __init__(self):
database_url = os.environ['DA... | 26.413793 | 216 | 0.708225 | import psycopg2 as psycopg2
import os
class HandleData():
def __init__(self):
database_url = os.environ['DATABASE_URL']
self.database_url = database_url
def addData(self,participant_id,block,trial,trial_resp,trial_rt,trial_acc,change):
conn = psycopg2.connect(self.database_url, sslmode='require')
... | true | true |
1c27c08c6daa02b23a6a97b65b172f058175e1e5 | 1,340 | py | Python | assets/scripts/neals-funnel-a.py | sammosummo/sammosummo.github.io | afecf92aadccf5a0ee1eda835e32a8dbbff35c7c | [
"MIT"
] | 1 | 2021-05-16T20:01:33.000Z | 2021-05-16T20:01:33.000Z | assets/scripts/neals-funnel-a.py | sammosummo/sammosummo.github.io | afecf92aadccf5a0ee1eda835e32a8dbbff35c7c | [
"MIT"
] | null | null | null | assets/scripts/neals-funnel-a.py | sammosummo/sammosummo.github.io | afecf92aadccf5a0ee1eda835e32a8dbbff35c7c | [
"MIT"
] | 2 | 2018-11-10T16:29:45.000Z | 2018-12-13T15:17:27.000Z | """Generate data from Neal's funnel distribution.
"""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rcParams
from scipy.stats import norm
def main():
# set up figure
fs = rcParams["figure.figsize"]
rcParams["figure.figsize"] = (fs[0], fs[0] / 2)
rcParams["lines.linewidth"... | 25.769231 | 80 | 0.604478 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rcParams
from scipy.stats import norm
def main():
fs = rcParams["figure.figsize"]
rcParams["figure.figsize"] = (fs[0], fs[0] / 2)
rcParams["lines.linewidth"] = 2
rcParams["font.size"] = 14
np.random.seed(0)
k... | true | true |
1c27c12cc883530c2be8b64b3c00ff374762d538 | 1,636 | py | Python | raven/contrib/transports/zeromq/raven_zmq.py | skorokithakis/raven-python | 0b210f740579d07a5edae94ae815552a8f8300d5 | [
"BSD-3-Clause"
] | 1 | 2020-04-13T02:43:06.000Z | 2020-04-13T02:43:06.000Z | raven/contrib/transports/zeromq/raven_zmq.py | SilentCircle/raven-python | b1a9c618584b793d1e48fde135e9fb9b83a90398 | [
"BSD-3-Clause"
] | null | null | null | raven/contrib/transports/zeromq/raven_zmq.py | SilentCircle/raven-python | b1a9c618584b793d1e48fde135e9fb9b83a90398 | [
"BSD-3-Clause"
] | null | null | null | """
raven.contrib.transports.zeromq.raven_zmq
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2013 by the Sentry Team, see AUTHORS for more details
:license: BSD, see LICENSE for more details
"""
from __future__ import absolute_import
from raven.transport import Transport
import json
class MissingLi... | 25.5625 | 74 | 0.632029 | from __future__ import absolute_import
from raven.transport import Transport
import json
class MissingLibrary(Exception):
pass
try:
import zmq
ZMQ_CONTEXT = zmq.Context()
except:
ZMQ_CONTEXT = None
msg = "You need to have pyzmq installed"
raise MissingLibrary(msg)
class ZmqPubTransport(Tr... | true | true |
1c27c1744d5fca9b5d842787192f7bf99364d3e9 | 3,562 | py | Python | spacy/tests/lang/test_attrs.py | snosrap/spaCy | 3f68bbcfec44ef55d101e6db742d353b72652129 | [
"MIT"
] | 1 | 2020-06-11T14:11:38.000Z | 2020-06-11T14:11:38.000Z | spacy/tests/lang/test_attrs.py | snosrap/spaCy | 3f68bbcfec44ef55d101e6db742d353b72652129 | [
"MIT"
] | 2 | 2022-02-21T05:50:08.000Z | 2022-03-15T03:19:49.000Z | spacy/tests/lang/test_attrs.py | snosrap/spaCy | 3f68bbcfec44ef55d101e6db742d353b72652129 | [
"MIT"
] | null | null | null | import pytest
from spacy.attrs import intify_attrs, ENT_IOB
from spacy.attrs import IS_ALPHA, LEMMA, NORM, ORTH, intify_attrs
from spacy.lang.en.stop_words import STOP_WORDS
from spacy.lang.lex_attrs import is_ascii, is_currency, is_punct, is_stop
from spacy.lang.lex_attrs import like_url, word_shape
@pytest.mark.pa... | 27.19084 | 87 | 0.601348 | import pytest
from spacy.attrs import intify_attrs, ENT_IOB
from spacy.attrs import IS_ALPHA, LEMMA, NORM, ORTH, intify_attrs
from spacy.lang.en.stop_words import STOP_WORDS
from spacy.lang.lex_attrs import is_ascii, is_currency, is_punct, is_stop
from spacy.lang.lex_attrs import like_url, word_shape
@pytest.mark.pa... | true | true |
1c27c285673f4f09355d4ae8d96e42de07f20510 | 19,991 | py | Python | src/opendr/perception/object_detection_2d/detr/algorithm/models/detr.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 217 | 2020-04-10T16:39:36.000Z | 2022-03-30T15:39:04.000Z | src/opendr/perception/object_detection_2d/detr/algorithm/models/detr.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 79 | 2021-06-23T10:40:10.000Z | 2021-12-16T07:59:42.000Z | src/opendr/perception/object_detection_2d/detr/algorithm/models/detr.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 29 | 2021-12-16T09:26:13.000Z | 2022-03-29T15:19:18.000Z |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Modifications Copyright 2021 - present, OpenDR European Project
# 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
#
# ... | 46.92723 | 121 | 0.648492 |
import torch
import torch.nn.functional as F
from torch import nn
from opendr.perception.object_detection_2d.detr.algorithm.util import box_ops
from opendr.perception.object_detection_2d.detr.algorithm.util.misc import (NestedTensor, nested_tensor_from_tensor_list,
... | true | true |
1c27c2e9dc6782eefb7d149accd383452eadc804 | 2,514 | py | Python | scrape.py | AmethystGear/uwcsehwscraper | e50a816ca564752b11bada99b518e0c91808d781 | [
"MIT"
] | null | null | null | scrape.py | AmethystGear/uwcsehwscraper | e50a816ca564752b11bada99b518e0c91808d781 | [
"MIT"
] | null | null | null | scrape.py | AmethystGear/uwcsehwscraper | e50a816ca564752b11bada99b518e0c91808d781 | [
"MIT"
] | null | null | null | from requests import get
from requests.exceptions import RequestException
from contextlib import closing
from bs4 import BeautifulSoup
import re
import os
import itertools
# change these if you want to scrape a different cse hw site
cse_url = "https://courses.cs.washington.edu/courses/cse143/19au/"
diff_site = "diff.h... | 29.576471 | 91 | 0.623707 | from requests import get
from requests.exceptions import RequestException
from contextlib import closing
from bs4 import BeautifulSoup
import re
import os
import itertools
cse_url = "https://courses.cs.washington.edu/courses/cse143/19au/"
diff_site = "diff.html"
def simple_get(url):
try:
with closing(ge... | true | true |
1c27c36e71aca0be063ce58182f2292f0f04bee4 | 146 | py | Python | ripiu/cmsplugin_filer_svg/__init__.py | ripiu/ripiu.cmsplugin_filer_svg | d107917f53eeaa107293b717bc0cb212ba4a5641 | [
"BSD-3-Clause"
] | null | null | null | ripiu/cmsplugin_filer_svg/__init__.py | ripiu/ripiu.cmsplugin_filer_svg | d107917f53eeaa107293b717bc0cb212ba4a5641 | [
"BSD-3-Clause"
] | null | null | null | ripiu/cmsplugin_filer_svg/__init__.py | ripiu/ripiu.cmsplugin_filer_svg | d107917f53eeaa107293b717bc0cb212ba4a5641 | [
"BSD-3-Clause"
] | null | null | null | __version__ = '0.3.0'
__author__ = 'matteo vezzola <matteo@studioripiu.it>'
default_app_config = 'ripiu.cmsplugin_filer_svg.apps.FilerSvgConfig'
| 29.2 | 68 | 0.794521 | __version__ = '0.3.0'
__author__ = 'matteo vezzola <matteo@studioripiu.it>'
default_app_config = 'ripiu.cmsplugin_filer_svg.apps.FilerSvgConfig'
| true | true |
1c27c3e3b35e1e7cf4f91368a6d023e65d046e8d | 16,004 | py | Python | Packs/FlashpointFeed/Integrations/FlashpointFeed/FlashpointFeed.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | Packs/FlashpointFeed/Integrations/FlashpointFeed/FlashpointFeed.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 40 | 2022-03-03T07:34:00.000Z | 2022-03-31T07:38:35.000Z | Packs/FlashpointFeed/Integrations/FlashpointFeed/FlashpointFeed.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | from CommonServerPython import * # noqa # pylint: disable=unused-wildcard-import
from CommonServerUserPython import * # noqa
import requests
import traceback
from typing import Dict, Any
# Disable insecure warnings
requests.packages.urllib3.disable_warnings() # pylint: disable=no-member
''' CONSTANTS '''
DATE_FO... | 34.123667 | 118 | 0.617846 | from CommonServerPython import *
import requests
import traceback
from typing import Dict, Any
requests.packages.urllib3.disable_warnings()
DATE_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
LIMIT = 10
TIMEOUT = 60
MAX_FETCH = 1000
DEFAULT_INDICATOR_TYPE = "Flashpoint Indicator"
DEFAULT_FIRST_FETCH = "3 days"
DEFAULT_SORT_OR... | true | true |
1c27c4aab9b07cbeecb01df6962b70bd7c418ef4 | 20,871 | py | Python | datamart_isi/upload/file_parsers/csv_parser.py | usc-isi-i2/datamart-upload | c27a3d745daabb2d24681d8224bec140b6a4a7b9 | [
"MIT"
] | 1 | 2020-05-07T04:21:27.000Z | 2020-05-07T04:21:27.000Z | datamart_isi/upload/file_parsers/csv_parser.py | usc-isi-i2/datamart-upload | c27a3d745daabb2d24681d8224bec140b6a4a7b9 | [
"MIT"
] | 9 | 2020-03-06T00:48:47.000Z | 2021-10-15T20:03:01.000Z | datamart_isi/upload/file_parsers/csv_parser.py | usc-isi-i2/datamart-upload | c27a3d745daabb2d24681d8224bec140b6a4a7b9 | [
"MIT"
] | 1 | 2020-11-25T22:42:50.000Z | 2020-11-25T22:42:50.000Z | import logging
import pandas as pd
import time
import wikifier
import typing
import hashlib
import json
import os
from .parser_base import ParserBase, PreParsedResult
from pandas.util import hash_pandas_object
from datamart_isi.materializers.general_materializer import GeneralMaterializer
from datamart_isi.materializ... | 51.406404 | 126 | 0.602079 | import logging
import pandas as pd
import time
import wikifier
import typing
import hashlib
import json
import os
from .parser_base import ParserBase, PreParsedResult
from pandas.util import hash_pandas_object
from datamart_isi.materializers.general_materializer import GeneralMaterializer
from datamart_isi.materializ... | true | true |
1c27c57266f59804399997f8a16a2f732cfb8a85 | 29,340 | py | Python | wilfred/wilfred.py | nerdlan/cli | 47cf3f0cfdbbf95852fc7312f8c554c2374b9ae5 | [
"MIT"
] | null | null | null | wilfred/wilfred.py | nerdlan/cli | 47cf3f0cfdbbf95852fc7312f8c554c2374b9ae5 | [
"MIT"
] | null | null | null | wilfred/wilfred.py | nerdlan/cli | 47cf3f0cfdbbf95852fc7312f8c554c2374b9ae5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#################################################################
# #
# Wilfred #
# Copyright (C) 2020-2022, Vilhelm Prytz, <vilhelm@prytznet.se> #
# ... | 27.942857 | 119 | 0.583231 |
.replace("running", click.style("running", fg="green"))
.replace("stopped", click.style("stopped", fg="red"))
.replace("installing", click.style("installing", fg="yellow")),
)
for k, v in server.items()
)
headers = {
"id": c... | true | true |
1c27c5cb9b1b89052da75d6ea4be3dc5c36b04b8 | 4,416 | py | Python | telemetry/telemetry/internal/backends/chrome/android_minidump_symbolizer.py | christian7877/catapult | aad9fb06898b695f844b172680bf9818d2bfb9af | [
"BSD-3-Clause"
] | null | null | null | telemetry/telemetry/internal/backends/chrome/android_minidump_symbolizer.py | christian7877/catapult | aad9fb06898b695f844b172680bf9818d2bfb9af | [
"BSD-3-Clause"
] | null | null | null | telemetry/telemetry/internal/backends/chrome/android_minidump_symbolizer.py | christian7877/catapult | aad9fb06898b695f844b172680bf9818d2bfb9af | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import datetime
import logging
import os
import platform
import re
import subprocess
from telemetry.internal.backends.chrome import minidump_symbolizer
from... | 38.068966 | 79 | 0.686141 |
import datetime
import logging
import os
import platform
import re
import subprocess
from telemetry.internal.backends.chrome import minidump_symbolizer
from telemetry.internal.results import artifact_logger
class AndroidMinidumpSymbolizer(minidump_symbolizer.MinidumpSymbolizer):
def __init__(self, dump_finder,... | true | true |
1c27c5dc49ebb72c025b3d17ffaf066060246e94 | 9,349 | py | Python | preprocessor.py | ninastijepovic/MasterThesis | 2579f1e74c0ce404f350a6d441e273b6aef4eadc | [
"MIT"
] | null | null | null | preprocessor.py | ninastijepovic/MasterThesis | 2579f1e74c0ce404f350a6d441e273b6aef4eadc | [
"MIT"
] | null | null | null | preprocessor.py | ninastijepovic/MasterThesis | 2579f1e74c0ce404f350a6d441e273b6aef4eadc | [
"MIT"
] | null | null | null | """
This is a class that wraps the preprocessing tasks, routines and objects
Takes in a hypercube (N,F,T,C) dimensions where:
N: baselines
F: frequency channels
T: time vectors
C: real and imaginary components
"""
import copy
import logging
import os
import matplotlib
from mat... | 36.662745 | 114 | 0.594823 | import copy
import logging
import os
import matplotlib
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
from numpy import sqrt,angle
from tqdm import tqdm
import processors
from joblib import Parallel, delayed
from sklearn.preprocessing import StandardScaler,MinMaxScaler
from skimage.tra... | true | true |
1c27c6a210ed35fce6f35a4a94e0f84edea7c390 | 3,134 | py | Python | venv/lib/python3.6/site-packages/github/StatsCodeFrequency.py | jannahuang/blog | e1d8cfa9d79ac06097a0e55531bba9421fcbf283 | [
"MIT"
] | 1 | 2021-10-14T16:13:12.000Z | 2021-10-14T16:13:12.000Z | venv/lib/python3.6/site-packages/github/StatsCodeFrequency.py | jannahuang/blog | e1d8cfa9d79ac06097a0e55531bba9421fcbf283 | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/github/StatsCodeFrequency.py | jannahuang/blog | e1d8cfa9d79ac06097a0e55531bba9421fcbf283 | [
"MIT"
] | null | null | null | ############################ Copyrights and license ############################
# #
# Copyright 2013 Vincent Jacques <vincent@vincent-jacques.net> #
# Copyright 2014 Vincent Jacques <vincent@vincent-jacques.net> ... | 48.215385 | 202 | 0.485003 | true | true | |
1c27c7c1054492c085f21273b2abe4c7e81698f2 | 1,165 | py | Python | script/AnnoyinBot.py | MathewsDuarte/AnnoyingBot-Whatsapp-Web | 18ac523332714e57644c756d5c33dcf5b7388158 | [
"MIT"
] | null | null | null | script/AnnoyinBot.py | MathewsDuarte/AnnoyingBot-Whatsapp-Web | 18ac523332714e57644c756d5c33dcf5b7388158 | [
"MIT"
] | null | null | null | script/AnnoyinBot.py | MathewsDuarte/AnnoyingBot-Whatsapp-Web | 18ac523332714e57644c756d5c33dcf5b7388158 | [
"MIT"
] | null | null | null | from selenium import webdriver
import sys
driver = webdriver.Chrome(executable_path="YOUR PATH/DIR/chromedriver.exe")
driver.get("https://web.whatsapp.com/")
while True:
print ("Welcome to Annoying Bot, take a sit, please.")
print ("--------------------------------------------")
print("# \n # \n... | 31.486486 | 85 | 0.586266 | from selenium import webdriver
import sys
driver = webdriver.Chrome(executable_path="YOUR PATH/DIR/chromedriver.exe")
driver.get("https://web.whatsapp.com/")
while True:
print ("Welcome to Annoying Bot, take a sit, please.")
print ("--------------------------------------------")
print("# \n # \n... | false | true |
1c27c87650bec01e41b8451f15cf42e52ab6707c | 647 | py | Python | dopamine/visualization/__init__.py | K-Kielak/dopamine | f0bbc39825c7b769023901aa6c60e2b068390a42 | [
"Apache-2.0"
] | null | null | null | dopamine/visualization/__init__.py | K-Kielak/dopamine | f0bbc39825c7b769023901aa6c60e2b068390a42 | [
"Apache-2.0"
] | null | null | null | dopamine/visualization/__init__.py | K-Kielak/dopamine | f0bbc39825c7b769023901aa6c60e2b068390a42 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Dopamine Authors.
# Modifications copyright 2019 Kacper Kielak
#
# 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/LICE... | 38.058824 | 74 | 0.76507 | true | true | |
1c27c8b9f3470b7063e2d0f98b831f3ac57d0172 | 3,407 | py | Python | scripts/dataentry/paths.py | acl-org/emnlp-2020-virtual-conference | 3a58c584e826fc53aa47f892e40ad829664b0d1a | [
"MIT"
] | 14 | 2021-06-20T08:19:33.000Z | 2022-03-06T01:34:49.000Z | scripts/dataentry/paths.py | teddylfwu/AAAI21-Virtual-Conference | aa5f260d586fdf65b7128ee533a1910b85d1452c | [
"MIT"
] | 2 | 2021-11-11T21:53:31.000Z | 2021-12-13T13:56:20.000Z | scripts/dataentry/paths.py | teddylfwu/AAAI21-Virtual-Conference | aa5f260d586fdf65b7128ee533a1910b85d1452c | [
"MIT"
] | 1 | 2021-03-31T09:40:46.000Z | 2021-03-31T09:40:46.000Z | import os
import shutil
from pathlib import Path
import wget
ROOT = Path(__file__).parent.absolute()
PATH_DOWNLOADS = ROOT / "downloads"
PATH_YAMLS = ROOT / "yamls"
URL_SLIDESLIVE_OTHER = "https://docs.google.com/spreadsheets/d/1Cp04DGRiDj8oY00-xDjTpjzCd_fjq3YhqOclhvFRK94/export?format=csv&gid=1157572740"
PATH_SLIDE... | 43.679487 | 145 | 0.835926 | import os
import shutil
from pathlib import Path
import wget
ROOT = Path(__file__).parent.absolute()
PATH_DOWNLOADS = ROOT / "downloads"
PATH_YAMLS = ROOT / "yamls"
URL_SLIDESLIVE_OTHER = "https://docs.google.com/spreadsheets/d/1Cp04DGRiDj8oY00-xDjTpjzCd_fjq3YhqOclhvFRK94/export?format=csv&gid=1157572740"
PATH_SLIDE... | true | true |
1c27c8d2ffc08dc2e7957c970fb25d78eba5f09d | 1,446 | py | Python | tests/integration/fileserver/fileclient_test.py | ContinuumIO/salt | 91c0955cfc24b13f07f4917d3d44a9fd9636347a | [
"Apache-2.0"
] | 2 | 2017-09-17T21:10:35.000Z | 2019-08-26T03:00:12.000Z | tests/integration/fileserver/fileclient_test.py | ContinuumIO/salt | 91c0955cfc24b13f07f4917d3d44a9fd9636347a | [
"Apache-2.0"
] | null | null | null | tests/integration/fileserver/fileclient_test.py | ContinuumIO/salt | 91c0955cfc24b13f07f4917d3d44a9fd9636347a | [
"Apache-2.0"
] | 3 | 2021-02-23T08:12:48.000Z | 2021-02-23T08:13:13.000Z | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Mike Place <mp@saltstack.com>`
'''
# Import Salt Testing libs
from salttesting.unit import skipIf
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import MagicMock, patch, NO_MOCK, NO_MOCK_REASON
ensure_in_syspath('../')
# Import salt libs
im... | 31.434783 | 96 | 0.695021 |
from salttesting.unit import skipIf
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import MagicMock, patch, NO_MOCK, NO_MOCK_REASON
ensure_in_syspath('../')
import integration
from salt import fileclient
@skipIf(NO_MOCK, NO_MOCK_REASON)
class FileClientTest(integration.ModuleCase):
... | true | true |
1c27c90a5b4f0b01480f50bf213c491cc4a038d6 | 2,426 | py | Python | apps/life_sci/dgllife/model/model_zoo/schnet_predictor.py | arangoml/dgl | d135058f9986fadcbdf6aa1011a00c3ad45a8ce3 | [
"Apache-2.0"
] | 3 | 2020-02-28T07:28:52.000Z | 2020-06-03T08:41:55.000Z | apps/life_sci/dgllife/model/model_zoo/schnet_predictor.py | arangoml/dgl | d135058f9986fadcbdf6aa1011a00c3ad45a8ce3 | [
"Apache-2.0"
] | null | null | null | apps/life_sci/dgllife/model/model_zoo/schnet_predictor.py | arangoml/dgl | d135058f9986fadcbdf6aa1011a00c3ad45a8ce3 | [
"Apache-2.0"
] | null | null | null | """SchNet"""
import torch.nn as nn
from dgl.nn.pytorch.conv.cfconv import ShiftedSoftplus
from ..gnn import SchNetGNN
from ..readout import MLPNodeReadout
__all__ = ['SchNetPredictor']
class SchNetPredictor(nn.Module):
"""SchNet for regression and classification on graphs.
SchNet is introduced in `SchNet: ... | 38.507937 | 95 | 0.654988 | import torch.nn as nn
from dgl.nn.pytorch.conv.cfconv import ShiftedSoftplus
from ..gnn import SchNetGNN
from ..readout import MLPNodeReadout
__all__ = ['SchNetPredictor']
class SchNetPredictor(nn.Module):
def __init__(self, node_feats=64, hidden_feats=None, classifier_hidden_feats=64, n_tasks=1,
... | true | true |
1c27c95d2ab8bd89bfcf85bbd90aa4997163ea09 | 76,747 | py | Python | tests/integration/test_storage_rabbitmq/test.py | 540522905/ClickHouse | 299445ec7da10bd2ef62d8e333a95b7ab12bf5f2 | [
"Apache-2.0"
] | 1 | 2021-02-12T22:34:04.000Z | 2021-02-12T22:34:04.000Z | tests/integration/test_storage_rabbitmq/test.py | 540522905/ClickHouse | 299445ec7da10bd2ef62d8e333a95b7ab12bf5f2 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_storage_rabbitmq/test.py | 540522905/ClickHouse | 299445ec7da10bd2ef62d8e333a95b7ab12bf5f2 | [
"Apache-2.0"
] | null | null | null | import json
import os.path as p
import random
import subprocess
import threading
import logging
import time
from random import randrange
import math
import pika
import pytest
from google.protobuf.internal.encoder import _VarintBytes
from helpers.client import QueryRuntimeException
from helpers.cluster import ClickHous... | 36.703491 | 193 | 0.625041 | import json
import os.path as p
import random
import subprocess
import threading
import logging
import time
from random import randrange
import math
import pika
import pytest
from google.protobuf.internal.encoder import _VarintBytes
from helpers.client import QueryRuntimeException
from helpers.cluster import ClickHous... | true | true |
1c27c9954448555b9f86f6dc9ad84ffe852c15af | 19,886 | py | Python | nethack_baselines/torchbeast/models/baseline_tensorized.py | ege-k/nlp4nethack | 8b8b45a2f0be09c5233b33a47f421906e9e4b561 | [
"MIT"
] | null | null | null | nethack_baselines/torchbeast/models/baseline_tensorized.py | ege-k/nlp4nethack | 8b8b45a2f0be09c5233b33a47f421906e9e4b561 | [
"MIT"
] | null | null | null | nethack_baselines/torchbeast/models/baseline_tensorized.py | ege-k/nlp4nethack | 8b8b45a2f0be09c5233b33a47f421906e9e4b561 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# 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 ... | 36.421245 | 157 | 0.6052 |
import collections
import torch
from torch import nn
from torch.nn import functional as F
from einops import rearrange
from nle import nethack
from .util import id_pairs_table
import numpy as np
NUM_GLYPHS = nethack.MAX_GLYPH
NUM_FEATURES = nethack.BLSTATS_SHAPE[0]
PAD_CHAR = 0
NUM_CHARS = 256
def g... | true | true |
1c27ca5595f72c88e15e99701aec43e9eeb4b86e | 1,005 | py | Python | nebullvm/converters/tests/test_converters.py | zeyus/nebullvm | ccb1a55d12f55f8f27b1ca832ac516df5c6d1886 | [
"Apache-2.0"
] | 1 | 2022-02-24T16:25:11.000Z | 2022-02-24T16:25:11.000Z | nebullvm/converters/tests/test_converters.py | zeyus/nebullvm | ccb1a55d12f55f8f27b1ca832ac516df5c6d1886 | [
"Apache-2.0"
] | null | null | null | nebullvm/converters/tests/test_converters.py | zeyus/nebullvm | ccb1a55d12f55f8f27b1ca832ac516df5c6d1886 | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
import torch
from nebullvm.converters import ONNXConverter
class TorchTestModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.conv = torch.nn.Conv2d(
in_channels=3, out_channels=256, kernel... | 29.558824 | 71 | 0.671642 | from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
import torch
from nebullvm.converters import ONNXConverter
class TorchTestModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.conv = torch.nn.Conv2d(
in_channels=3, out_channels=256, kernel... | true | true |
1c27ca5f8d1ff7a1199a1c7adde310873ac72ee9 | 799 | py | Python | contrib/spanlib/test/test_yespca_nomssa_yesphases.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 62 | 2018-03-30T15:46:56.000Z | 2021-12-08T23:30:24.000Z | contrib/spanlib/test/test_yespca_nomssa_yesphases.py | xylar/cdat | 8a5080cb18febfde365efc96147e25f51494a2bf | [
"BSD-3-Clause"
] | 114 | 2018-03-21T01:12:43.000Z | 2021-07-05T12:29:54.000Z | contrib/spanlib/test/test_yespca_nomssa_yesphases.py | CDAT/uvcdat | 5133560c0c049b5c93ee321ba0af494253b44f91 | [
"BSD-3-Clause"
] | 14 | 2018-06-06T02:42:47.000Z | 2021-11-26T03:27:00.000Z | import sys
#sys.path.insert(0,'../src/build/lib.linux-i686-2.4')
import cdms
import spanlib
import vcs
import MV
import Numeric
import cdutil
import genutil
cdms.axis.latitude_aliases.append('Y')
cdms.axis.longitude_aliases.append('X')
cdms.axis.time_aliases.append('T')
f=cdms.open('../example/data2.cdf')
s=f('ssta'... | 20.487179 | 73 | 0.705882 | import sys
import cdms
import spanlib
import vcs
import MV
import Numeric
import cdutil
import genutil
cdms.axis.latitude_aliases.append('Y')
cdms.axis.longitude_aliases.append('X')
cdms.axis.time_aliases.append('T')
f=cdms.open('../example/data2.cdf')
s=f('ssta',time=slice(0,120))
print s.shape
SP=spanlib.SpAn(s)... | false | true |
1c27cba01bab714007793244d7d06cae68eb032f | 568 | py | Python | util/preprocess.py | ikhwan1234/ae-blender-camera-export | b18169e84ebd3c4fb86aed2cf12a00fe4d4c7cc7 | [
"MIT"
] | null | null | null | util/preprocess.py | ikhwan1234/ae-blender-camera-export | b18169e84ebd3c4fb86aed2cf12a00fe4d4c7cc7 | [
"MIT"
] | null | null | null | util/preprocess.py | ikhwan1234/ae-blender-camera-export | b18169e84ebd3c4fb86aed2cf12a00fe4d4c7cc7 | [
"MIT"
] | null | null | null | import re
from os import path
incl_regex = re.compile('\/\/ ?@include *(\'(.+)\'|"(.+)")')
def process_includes(file_path):
srcdir = path.dirname(file_path)
def make_include(matchobj):
return process_includes(path.join(srcdir, matchobj.group(1)[1:-1]))
with open(file_path, encoding='utf... | 33.411765 | 84 | 0.65669 | import re
from os import path
incl_regex = re.compile('\/\/ ?@include *(\'(.+)\'|"(.+)")')
def process_includes(file_path):
srcdir = path.dirname(file_path)
def make_include(matchobj):
return process_includes(path.join(srcdir, matchobj.group(1)[1:-1]))
with open(file_path, encoding='utf... | true | true |
1c27ccbfd50f0daca9c5e0afb30cab7cbaccd21a | 18,743 | py | Python | tests/gis_tests/test_geoforms.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/gis_tests/test_geoforms.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | tests/gis_tests/test_geoforms.py | Yoann-Vie/esgi-hearthstone | 115d03426c7e8e80d89883b78ac72114c29bed12 | [
"PSF-2.0",
"BSD-3-Clause"
] | null | null | null | import re
from django.contrib.gis import forms
from django.contrib.gis.forms import BaseGeometryWidget, OpenLayersWidget
from django.contrib.gis.geos import GEOSGeometry
from django.forms import ValidationError
from django.test import SimpleTestCase, override_settings
from django.utils.html import escape
c... | 44.839713 | 114 | 0.550392 | import re
from django.contrib.gis import forms
from django.contrib.gis.forms import BaseGeometryWidget, OpenLayersWidget
from django.contrib.gis.geos import GEOSGeometry
from django.forms import ValidationError
from django.test import SimpleTestCase, override_settings
from django.utils.html import escape
c... | true | true |
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