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63aad93e1350667c6ea3104ec3e6a0686257c3aa | 11,263 | py | Python | pet_mk_viii/pet_potentiometer_node.py | Pet-Series/Pet-Mk-VII | 4f14d8af46d6a3f4d9838028a6ac0d3c37695ab2 | [
"MIT"
] | null | null | null | pet_mk_viii/pet_potentiometer_node.py | Pet-Series/Pet-Mk-VII | 4f14d8af46d6a3f4d9838028a6ac0d3c37695ab2 | [
"MIT"
] | 1 | 2022-03-30T20:40:19.000Z | 2022-03-30T20:40:19.000Z | pet_mk_viii/pet_potentiometer_node.py | Pet-Series/Pet-Mk-VIII | 4f14d8af46d6a3f4d9838028a6ac0d3c37695ab2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3'
# coding = utf-8
########################################################################################
##
## Maintainer: stefan.kull@gmail.com
## Inspired by: https://github.com/somervda/ourbotmanager_ros.git
##
## Input: Analog potentiometer 1 + 2 + 3 (+4 )
## Output: micro-ROS node (ROS2) ... | 46.159836 | 206 | 0.648584 | #!/usr/bin/env python3'
# coding = utf-8
########################################################################################
##
## Maintainer: stefan.kull@gmail.com
## Inspired by: https://github.com/somervda/ourbotmanager_ros.git
##
## Input: Analog potentiometer 1 + 2 + 3 (+4 )
## Output: micro-ROS node (ROS2) ... | 12 | 0 | 0 | 8,933 | 0 | 322 | 0 | 27 | 381 |
e294e0268e0b169ee1d20bb1135f8707589d4ce5 | 171 | py | Python | examples/timed_set/config.py | fredstro/mrq | eec5dfb425c765afa1ab5b41ca1e6f76869a6726 | [
"MIT"
] | 745 | 2015-01-02T06:54:37.000Z | 2022-03-27T13:23:33.000Z | examples/timed_set/config.py | fredstro/mrq | eec5dfb425c765afa1ab5b41ca1e6f76869a6726 | [
"MIT"
] | 175 | 2015-01-01T20:46:08.000Z | 2022-01-24T09:40:55.000Z | examples/timed_set/config.py | fredstro/mrq | eec5dfb425c765afa1ab5b41ca1e6f76869a6726 | [
"MIT"
] | 143 | 2015-01-06T06:55:26.000Z | 2021-09-13T19:47:12.000Z | RAW_QUEUES = {
"example_timed_set": {
"job_factory": lambda rawparam: {
"path": "example.Print",
"params": {
"test": rawparam
}
}
}
} | 17.1 | 37 | 0.502924 | RAW_QUEUES = {
"example_timed_set": {
"job_factory": lambda rawparam: {
"path": "example.Print",
"params": {
"test": rawparam
}
}
}
} | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
32b8c3e29d61e4ef123b1d590e376a697da3489d | 24,380 | py | Python | dmriprep/data.py | akeshavan/dmriprep | c2829fff51e499ea68e5416f336a0bc53bae10e0 | [
"BSD-3-Clause"
] | null | null | null | dmriprep/data.py | akeshavan/dmriprep | c2829fff51e499ea68e5416f336a0bc53bae10e0 | [
"BSD-3-Clause"
] | 1 | 2018-12-07T13:45:33.000Z | 2018-12-07T13:45:33.000Z | dmriprep/data.py | akeshavan/dmriprep | c2829fff51e499ea68e5416f336a0bc53bae10e0 | [
"BSD-3-Clause"
] | null | null | null | """
Functions to download example data from public repositories.
"""
from .base import InputFiles, InputFilesWithSession
import os.path as op
def get_s3_register(subject_id, site, raw_keys, deriv_keys):
"""Get the S3 keys for a single subject's input files
Parameters
----------
subject_id : strin... | 34.241573 | 118 | 0.555701 | """
Functions to download example data from public repositories.
"""
from .base import InputFiles, InputFilesWithSession
import os
import os.path as op
from pathlib import Path
def get_dataset(output_dir, source='HBN'):
if source in ['HBN']:
get_hbn_data(output_dir)
else:
raise ValueError('In... | 0 | 0 | 0 | 0 | 0 | 2,587 | 0 | -9 | 223 |
e033f9fd73d722ddff5f01e01c531a7ab26d7f5f | 483 | py | Python | ec2_lambda/lambda_function.py | thiagop-o/python-automacao_lambda_aws | d5db1f37b898a422a500dff392e0da0bbeef1fc6 | [
"MIT"
] | null | null | null | ec2_lambda/lambda_function.py | thiagop-o/python-automacao_lambda_aws | d5db1f37b898a422a500dff392e0da0bbeef1fc6 | [
"MIT"
] | null | null | null | ec2_lambda/lambda_function.py | thiagop-o/python-automacao_lambda_aws | d5db1f37b898a422a500dff392e0da0bbeef1fc6 | [
"MIT"
] | null | null | null | import os
import boto3
AMI = os.environ['AMI']
INSTANCE_TYPE = os.environ['INSTANCE_TYPE']
KEY_NAME = os.environ['KEY_NAME']
SUBNET_ID = os.environ['SUBNET_ID']
ec2 = boto3.resource('ec2')
| 21 | 51 | 0.652174 | import os
import boto3
AMI = os.environ['AMI']
INSTANCE_TYPE = os.environ['INSTANCE_TYPE']
KEY_NAME = os.environ['KEY_NAME']
SUBNET_ID = os.environ['SUBNET_ID']
ec2 = boto3.resource('ec2')
def lambda_handler(event, context):
instance = ec2.create_instances(
ImageId=AMI,
InstanceType=INSTANC... | 0 | 0 | 0 | 0 | 0 | 269 | 0 | 0 | 23 |
d5a445a9060d6cd20ce9d7173af9483d4cbd7c1e | 8,837 | py | Python | tests/unit_tests/logic/camera/test_cameraAscom.py | mworion/MountWizzard4 | 4e06b29ec2ef70be40e114b911b7bdf2f858a4b1 | [
"Apache-2.0"
] | 16 | 2020-01-11T22:32:26.000Z | 2022-03-31T15:18:14.000Z | tests/unit_tests/logic/camera/test_cameraAscom.py | mworion/MountWizzard4 | 4e06b29ec2ef70be40e114b911b7bdf2f858a4b1 | [
"Apache-2.0"
] | 196 | 2020-01-16T13:56:01.000Z | 2022-03-29T02:06:51.000Z | tests/unit_tests/logic/camera/test_cameraAscom.py | mworion/MountWizzard4 | 4e06b29ec2ef70be40e114b911b7bdf2f858a4b1 | [
"Apache-2.0"
] | 6 | 2019-12-01T19:39:33.000Z | 2021-05-27T13:14:20.000Z | ############################################################
# -*- coding: utf-8 -*-
#
# # # # # # #
# ## ## # ## # #
# # # # # # # # # # #
# # ## # ## ## ######
# # # # # # #
#
# Python-based Tool for interaction with the 10micron mounts
# GUI with PyQT5 fo... | 27.024465 | 115 | 0.602806 | ############################################################
# -*- coding: utf-8 -*-
#
# # # # # # #
# ## ## # ## # #
# # # # # # # # # # #
# # ## # ## ## ######
# # # # # # #
#
# Python-based Tool for interaction with the 10micron mounts
# GUI with PyQT5 fo... | 0 | 1,827 | 0 | 0 | 0 | 5,339 | 0 | 154 | 750 |
c9fdf87a145b69062ebfc4b957e7c6b7fad9824a | 475 | py | Python | renderers/linkRenderer.py | bgporter/wastebook | 79885a8d503452e1fbeb8ff445cedd2daafff2a0 | [
"MIT"
] | null | null | null | renderers/linkRenderer.py | bgporter/wastebook | 79885a8d503452e1fbeb8ff445cedd2daafff2a0 | [
"MIT"
] | null | null | null | renderers/linkRenderer.py | bgporter/wastebook | 79885a8d503452e1fbeb8ff445cedd2daafff2a0 | [
"MIT"
] | null | null | null |
import re
LINK_PATTERN = re.compile(r'(^|\s)(http(?:s)?://[^ \<]+\w)')
| 17.592593 | 71 | 0.612632 |
import re
import renderer
LINK_PATTERN = re.compile(r'(^|\s)(http(?:s)?://[^ \<]+\w)')
class LinkRenderer(renderer.RenderBase):
'''
Converts standalone http or https links in text into the Markdown
equivalent, so
lorem ipsum http://www.example.com, etc
becomes
lorem ipsum [h... | 0 | 0 | 0 | 359 | 0 | 0 | 0 | -6 | 46 |
19a1c00cdc6dcf513c84d6a0bc85980dea271cba | 4,913 | py | Python | py/feasability.py | andrewmkeller/niDelayGraph | 41aa0a9e17b6e3c59ef9e7103f8333047e7745e0 | [
"MIT"
] | null | null | null | py/feasability.py | andrewmkeller/niDelayGraph | 41aa0a9e17b6e3c59ef9e7103f8333047e7745e0 | [
"MIT"
] | null | null | null | py/feasability.py | andrewmkeller/niDelayGraph | 41aa0a9e17b6e3c59ef9e7103f8333047e7745e0 | [
"MIT"
] | null | null | null | import networkx.algorithms.shortest_paths.dense as dense
graphsDir = "..\DataSets"
# print("Topological sort took " + str(durationTime) + " seconds")
# pyplot.loglog(sizes, times, "o")
# pyplot.xscale("log")
# pyplot.yscale("log")
# pyplot.show()
if __name__ == "__main__":
main()
| 28.398844 | 94 | 0.607572 | import niGraphParser
import niGraph
import sys
import glob
import os
import random
import time
import re
from matplotlib import pyplot
import networkx as nx
import networkx.algorithms.shortest_paths.dense as dense
import xml.etree.ElementTree as ET
import networkx.algorithms.simple_paths as nxPaths
graphsDir = "..\Da... | 0 | 0 | 0 | 0 | 0 | 4,216 | 0 | -21 | 403 |
e6b2b01c8bd75ea94536fbb79633083633929b0b | 1,452 | py | Python | utils/draw_utils.py | takurooo/Python-YOLOv3_in_OpneCV | 8f722cdd86e360d557a539431c84636d369549f5 | [
"MIT"
] | null | null | null | utils/draw_utils.py | takurooo/Python-YOLOv3_in_OpneCV | 8f722cdd86e360d557a539431c84636d369549f5 | [
"MIT"
] | 1 | 2018-09-16T05:54:13.000Z | 2018-09-16T05:54:13.000Z | utils/draw_utils.py | takurooo/Python-YOLOv3_in_OpneCV | 8f722cdd86e360d557a539431c84636d369549f5 | [
"MIT"
] | null | null | null | #------------------------------------------------------
# import
#------------------------------------------------------
import cv2
#------------------------------------------------------
# global
#------------------------------------------------------
LINE_COLOR = (0, 0, 255)
LINE_THICKNESS = 10
FONT_STYLE = cv2.FON... | 32.266667 | 74 | 0.495868 | #------------------------------------------------------
# import
#------------------------------------------------------
import os
import cv2
#------------------------------------------------------
# global
#------------------------------------------------------
LINE_COLOR = (0, 0, 255)
LINE_THICKNESS = 10
FONT_STYLE... | 0 | 0 | 0 | 0 | 0 | 834 | 0 | -12 | 67 |
2c75071e74d6ac4f4af2e29dd45f88f7b19f3318 | 2,194 | py | Python | cleaner.py | Riviere123/csv_cleaner | 944ec7337232fcc246c276cad7588fda824306d3 | [
"MIT"
] | null | null | null | cleaner.py | Riviere123/csv_cleaner | 944ec7337232fcc246c276cad7588fda824306d3 | [
"MIT"
] | null | null | null | cleaner.py | Riviere123/csv_cleaner | 944ec7337232fcc246c276cad7588fda824306d3 | [
"MIT"
] | null | null | null | import argparse
parser = argparse.ArgumentParser(description='parameters for cleaning a csv file')
parser.add_argument(
'--columns',
type=int,
nargs="+",
default=[],
help="The columns to remove. Usage: --rows 0 1 10 25",
)
parser.add_argument(
'--file',
type=str,
default=None,
h... | 25.511628 | 82 | 0.573838 | import csv
import argparse
class Cleaner:
def __init__(self, file, columns, rows, strip) -> None:
self.file = open(f"{file}")
self.columns = columns
self.rows = rows
self.data = csv.reader(self.file)
self.strip = strip
self.cleaned_data = self.data
self.clean... | 0 | 0 | 0 | 1,453 | 0 | 0 | 0 | -11 | 45 |
b6f38ce362b5ee22034139f490ad8c25fc8886c6 | 3,370 | py | Python | Scripts/Face2.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | null | null | null | Scripts/Face2.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | null | null | null | Scripts/Face2.py | LiuSeeker/Robotica-projeto-1 | 425795d51232470ac840faf9dc7d97863d801554 | [
"CECILL-B"
] | null | null | null | #! /usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = ["Rachel P. B. Moraes", "Igor Montagner", "Fabio Miranda"]
import cv2
from cv_bridge import CvBridge
face_cascade = cv2.CascadeClassifier('haarcascade_frontalcatface.xml')
bridge = CvBridge()
global cv_image
global dif_x
global media
global centro
global... | 21.883117 | 132 | 0.692285 | #! /usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = ["Rachel P. B. Moraes", "Igor Montagner", "Fabio Miranda"]
import rospy
import numpy as np
import tf
import math
import cv2
import time
from geometry_msgs.msg import Twist, Vector3, Pose
from nav_msgs.msg import Odometry
from sensor_msgs.msg import Image, Co... | 4 | 0 | 0 | 1,006 | 0 | 1,430 | 0 | 27 | 289 |
c6a49fd8eae1a073336f9014b2bd4874e8b1295d | 1,277 | py | Python | PyCode/Modules/ServoModule.py | busing/RaspberryPi_SmartCarV1 | 1d7761c7f1e6bc385392c6178d9ba1266c28dc2a | [
"Apache-2.0"
] | 49 | 2018-05-20T11:43:42.000Z | 2022-02-22T01:15:01.000Z | PyCode/Modules/ServoModule.py | qq38061481/RaspberryPi_SmartCarV1 | 1d7761c7f1e6bc385392c6178d9ba1266c28dc2a | [
"Apache-2.0"
] | 1 | 2018-05-16T09:38:28.000Z | 2018-05-16T09:38:47.000Z | PyCode/Modules/ServoModule.py | qq38061481/RaspberryPi_SmartCarV1 | 1d7761c7f1e6bc385392c6178d9ba1266c28dc2a | [
"Apache-2.0"
] | 22 | 2018-05-16T09:33:04.000Z | 2021-07-05T07:02:43.000Z | ###################################################
# 1.0 --
#
# @author chenph
# @date 2018/5/15
###################################################
import RPi.GPIO as GPIO
import time
if __name__ == "__main__":
try:
# 19,21,23
m = ServoModule(19)
... | 23.218182 | 56 | 0.497259 | ###################################################
# 智能小车1.0 -- 舵机模块
#
# @author chenph
# @date 2018/5/15
###################################################
import RPi.GPIO as GPIO
import time
class ServoModule:
# 初始模块
def __init__(self, PIN):
print('Servo... | 60 | 0 | 0 | 792 | 0 | 0 | 0 | 0 | 23 |
e8d8d764446c6ce93834ee77f987452347e579e1 | 810 | py | Python | tests/test_coverage.py | UC-Mind-Lab/Darjeeling | 61dc4fd3c62f43bb7fcfafce6f964f82144e293e | [
"Apache-2.0"
] | null | null | null | tests/test_coverage.py | UC-Mind-Lab/Darjeeling | 61dc4fd3c62f43bb7fcfafce6f964f82144e293e | [
"Apache-2.0"
] | 1 | 2021-04-16T16:53:05.000Z | 2021-07-23T15:21:52.000Z | tests/test_coverage.py | UC-Mind-Lab/Darjeeling | 61dc4fd3c62f43bb7fcfafce6f964f82144e293e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
| 24.545455 | 56 | 0.512346 | # -*- coding: utf-8 -*-
import pytest
from darjeeling.core import (TestOutcome,
TestCoverage,
FileLine,
FileLineSet)
def ln(num: int) -> FileLine:
return FileLine('file.c', num)
@pytest.fixture
def coverage() -> TestCoverage... | 0 | 360 | 0 | 0 | 0 | 149 | 0 | 136 | 137 |
5d973a361af88b11163f87ccf03a9de8c21ac4fc | 20,012 | py | Python | pretrain_bert.py | initc/gpt-lm | 941f2816d7a749ea3a3e0c574b35fc3fc67e94e3 | [
"Apache-2.0"
] | 2 | 2019-10-17T04:03:06.000Z | 2020-05-22T13:27:50.000Z | pretrain_bert.py | initc/gpt-lm | 941f2816d7a749ea3a3e0c574b35fc3fc67e94e3 | [
"Apache-2.0"
] | 1 | 2020-05-22T13:36:27.000Z | 2020-05-22T13:36:27.000Z | pretrain_bert.py | initc/gpt-lm | 941f2816d7a749ea3a3e0c574b35fc3fc67e94e3 | [
"Apache-2.0"
] | 1 | 2019-10-17T04:03:08.000Z | 2019-10-17T04:03:08.000Z | # coding=utf-8
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 38.70793 | 158 | 0.613382 | # coding=utf-8
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 0 | 0 | 0 | 0 | 0 | 189 | 0 | -11 | 76 |
3ed529d99d20a681fda72fb1b468f10bdf3deffc | 1,907 | py | Python | molsys/fileIO/freq.py | MOFplus/molsys_rel | ff8b181fefc0ba03c5dd14fe2dde613298155203 | [
"MIT"
] | null | null | null | molsys/fileIO/freq.py | MOFplus/molsys_rel | ff8b181fefc0ba03c5dd14fe2dde613298155203 | [
"MIT"
] | null | null | null | molsys/fileIO/freq.py | MOFplus/molsys_rel | ff8b181fefc0ba03c5dd14fe2dde613298155203 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
@author: julian
Read (and write?) molden .freq files
"""
| 30.269841 | 92 | 0.521762 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
@author: julian
Read (and write?) molden .freq files
"""
import numpy
import string
from molsys.util.constants import angstrom, kcalmol
def read(mol, f):
# missing docstring!
try:
f.readline ### do nothing
except AttributeError:
raise IO... | 0 | 0 | 0 | 0 | 0 | 1,694 | 0 | 13 | 90 |
7b9ece5aa05ac3e689b66154aa1aba97c512c468 | 1,049 | py | Python | week9-10/week10/hw41/gas_prices.py | fac33/py_intro_exercise | e2c3f3044537b5cc8980bf7aa7651fd16c5fd34b | [
"MIT"
] | null | null | null | week9-10/week10/hw41/gas_prices.py | fac33/py_intro_exercise | e2c3f3044537b5cc8980bf7aa7651fd16c5fd34b | [
"MIT"
] | null | null | null | week9-10/week10/hw41/gas_prices.py | fac33/py_intro_exercise | e2c3f3044537b5cc8980bf7aa7651fd16c5fd34b | [
"MIT"
] | null | null | null | ################################################################################
# Author: Fanyang Cheng
# Date: 04/07/2021
# Description: This program read the weekly gas average price txt file as input
# and draw a graph for to show the data.
###########################################################################... | 34.966667 | 88 | 0.550048 | ################################################################################
# Author: Fanyang Cheng
# Date: 04/07/2021
# Description: This program read the weekly gas average price txt file as input
# and draw a graph for to show the data.
###########################################################################... | 0 | 0 | 0 | 0 | 0 | 582 | 0 | 0 | 44 |
941c88f15910a8e3d82889e5756ebb4771e44f69 | 18,566 | py | Python | brainspell/json_api.py | akeshavan/brainspell-neo | 05259770a9928d01adaaa028e9d2115750c4fe03 | [
"MIT"
] | null | null | null | brainspell/json_api.py | akeshavan/brainspell-neo | 05259770a9928d01adaaa028e9d2115750c4fe03 | [
"MIT"
] | null | null | null | brainspell/json_api.py | akeshavan/brainspell-neo | 05259770a9928d01adaaa028e9d2115750c4fe03 | [
"MIT"
] | null | null | null | # JSON API classes
# For GitHub OAuth
import os
REQ_DESC = "The fields to search through. 'x' is experiments, 'p' is PMID, 'r' is reference, and 't' is title + authors + abstract."
START_DESC = "The offset of the articles to show; e.g., start = 10 would return results 11 - 20."
assert "github_frontend_client_id" in ... | 28.345038 | 176 | 0.556932 | # JSON API classes
import brainspell
from article_helpers import *
from base_handler import *
from search_helpers import *
from user_account_helpers import *
# For GitHub OAuth
import requests
import urllib.parse
import os
import hashlib
REQ_DESC = "The fields to search through. 'x' is experiments, 'p' is PMID, 'r' ... | 0 | 0 | 0 | 16,977 | 0 | 0 | 0 | 14 | 683 |
75a1b42150f0c5930166b72169d17038f84dd12f | 8,419 | py | Python | train/tasks/semantic/modules/user.py | Crowbar97/SalsaNext | 789968bf702367b7f004ccc058d3cdce53ee385c | [
"MIT"
] | null | null | null | train/tasks/semantic/modules/user.py | Crowbar97/SalsaNext | 789968bf702367b7f004ccc058d3cdce53ee385c | [
"MIT"
] | null | null | null | train/tasks/semantic/modules/user.py | Crowbar97/SalsaNext | 789968bf702367b7f004ccc058d3cdce53ee385c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# This file is covered by the LICENSE file in the root of this project.
import torch.backends.cudnn as cudnn
| 39.712264 | 156 | 0.503742 | #!/usr/bin/env python3
# This file is covered by the LICENSE file in the root of this project.
import imp
import os
import time
import numpy as np
from matplotlib import pyplot as plt
import torch
import torch.backends.cudnn as cudnn
from torch import nn
import __init__ as booger
from tasks.semantic.modules.segment... | 0 | 0 | 0 | 7,890 | 0 | 97 | 0 | 22 | 270 |
b28113f9144fb0be437e13f608eef1bfa90e636b | 6,220 | py | Python | main.py | farhannysf/vitruvina | f4d9512c80c928001543a0852332a512ab602591 | [
"MIT"
] | 5 | 2018-11-04T08:46:38.000Z | 2021-03-09T21:50:54.000Z | main.py | farhannysf/vitruvina | f4d9512c80c928001543a0852332a512ab602591 | [
"MIT"
] | null | null | null | main.py | farhannysf/vitruvina | f4d9512c80c928001543a0852332a512ab602591 | [
"MIT"
] | null | null | null |
from sanic import Sanic
app = Sanic()
if __name__ == '__main__':
app.run(host='0.0.0.0', port=80) | 46.41791 | 281 | 0.671704 | import random
import settings
import finance_utils
import asyncio
import aiohttp
from time import strftime
from datetime import date
from sanic import Sanic, response
from sanic.response import json
app = Sanic()
async def aioGet(*args, **kwargs):
async with aiohttp.ClientSession() as client:
async w... | 0 | 377 | 5,372 | 0 | 0 | 0 | 0 | -1 | 362 |
94eced0ae6d8038942ea21908a77c26af1240b78 | 1,769 | py | Python | okta/models/application_accessibility.py | corylevine/okta-sdk-python | c86b8fdc4525e84199143c27213c0aebc6b2af8f | [
"Apache-2.0"
] | 145 | 2017-06-13T21:54:04.000Z | 2022-02-25T05:44:34.000Z | okta/models/application_accessibility.py | corylevine/okta-sdk-python | c86b8fdc4525e84199143c27213c0aebc6b2af8f | [
"Apache-2.0"
] | 146 | 2017-06-02T17:46:12.000Z | 2022-03-29T15:52:15.000Z | okta/models/application_accessibility.py | corylevine/okta-sdk-python | c86b8fdc4525e84199143c27213c0aebc6b2af8f | [
"Apache-2.0"
] | 98 | 2017-06-27T03:44:51.000Z | 2022-03-23T04:58:18.000Z | # flake8: noqa
"""
Copyright 2020 - Present Okta, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 32.759259 | 72 | 0.687394 | # flake8: noqa
"""
Copyright 2020 - Present Okta, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in ... | 0 | 0 | 0 | 1,047 | 0 | 0 | 0 | 18 | 46 |
495e8adc4d26507ba4b761349caac57cd7210956 | 1,391 | py | Python | joels_scripts/constants.py | DelparteLabs/WCWAVE_ClimateInterp | dce7ddf4f6025ae96b864767c198af78f4ee3c0a | [
"MIT"
] | null | null | null | joels_scripts/constants.py | DelparteLabs/WCWAVE_ClimateInterp | dce7ddf4f6025ae96b864767c198af78f4ee3c0a | [
"MIT"
] | null | null | null | joels_scripts/constants.py | DelparteLabs/WCWAVE_ClimateInterp | dce7ddf4f6025ae96b864767c198af78f4ee3c0a | [
"MIT"
] | null | null | null | #Import necessary modules
import arcpy
#Check-out necessary extensions
arcpy.CheckOutExtension('Spatial')
#Set input parameters
elevation_raster = arcpy.GetParameterAsText(0)
conRL = arcpy.GetParameter(1)
conRL_ouRaster = arcpy.GetParameterAsText(2)
conH2OSat = arcpy.GetParameter(3)
conH2OSat_outRaster = arcpy.GetPar... | 33.926829 | 82 | 0.833932 | #Import necessary modules
import arcpy
from arcpy.sa import *
import numpy
#Check-out necessary extensions
arcpy.CheckOutExtension('Spatial')
#Set input parameters
elevation_raster = arcpy.GetParameterAsText(0)
conRL = arcpy.GetParameter(1)
conRL_ouRaster = arcpy.GetParameterAsText(2)
conH2OSat = arcpy.GetParameter(3... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 44 |
9a76e6b847a5af542c69c4a2ca4ade2eecfda813 | 2,920 | py | Python | caffe2/python/operator_test/pack_rnn_sequence_op_test.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 206 | 2020-11-28T22:56:38.000Z | 2022-03-27T02:33:04.000Z | caffe2/python/operator_test/pack_rnn_sequence_op_test.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 19 | 2020-12-09T23:13:14.000Z | 2022-01-24T23:24:08.000Z | caffe2/python/operator_test/pack_rnn_sequence_op_test.py | jsun94/nimble | e5c899a69677818b1becc58100577441e15ede13 | [
"BSD-3-Clause"
] | 28 | 2020-11-29T15:25:12.000Z | 2022-01-20T02:16:27.000Z |
if __name__ == "__main__":
import unittest
unittest.main()
| 31.73913 | 75 | 0.560616 |
from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
class TestPackRNNSequenceOperator(serial.SerializedTestCase):
@serial.given(n=... | 0 | 2,498 | 0 | 40 | 0 | 0 | 0 | 98 | 210 |
7cd8c313e001a8189aed96f414569f874d893c5a | 1,682 | py | Python | lib/spack/spack/cmd/common/__init__.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2020-09-10T22:50:08.000Z | 2021-01-12T22:18:54.000Z | lib/spack/spack/cmd/common/__init__.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 17 | 2019-03-21T15:54:00.000Z | 2022-03-29T19:34:28.000Z | lib/spack/spack/cmd/common/__init__.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2021-04-07T18:27:09.000Z | 2022-03-31T22:52:38.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import llnl.util.tty as tty
import llnl.util.tty.color as color
import spack.paths
def shell_init_instructions(cmd, equ... | 31.148148 | 73 | 0.577289 | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import llnl.util.tty as tty
import llnl.util.tty.color as color
import spack.paths
def shell_init_instructions(cmd, equ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d91f9e590b81b179ff1c3782708adf0d1a80c4b | 8,815 | py | Python | src/parse_utils.py | dockimbel/RGB | 3dbb999cecc1fc60cd0f9a064723cc5d967c0688 | [
"MIT"
] | null | null | null | src/parse_utils.py | dockimbel/RGB | 3dbb999cecc1fc60cd0f9a064723cc5d967c0688 | [
"MIT"
] | null | null | null | src/parse_utils.py | dockimbel/RGB | 3dbb999cecc1fc60cd0f9a064723cc5d967c0688 | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2018 Samuel Wilder
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish,... | 26.15727 | 158 | 0.680091 | """
MIT License
Copyright (c) 2018 Samuel Wilder
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish,... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 23 |
6737b1610023ce55da9d1f5659e9fb729bfa0f76 | 2,150 | py | Python | code/plots5_airlines_cereal.py | msinkinson/CommonOwnerReplication | 59a4b275464521623c6bfc22738959c27a534504 | [
"MIT"
] | null | null | null | code/plots5_airlines_cereal.py | msinkinson/CommonOwnerReplication | 59a4b275464521623c6bfc22738959c27a534504 | [
"MIT"
] | null | null | null | code/plots5_airlines_cereal.py | msinkinson/CommonOwnerReplication | 59a4b275464521623c6bfc22738959c27a534504 | [
"MIT"
] | null | null | null | # %%
# %%
import pandas as pd
import matplotlib.pyplot as plt
from our_plot_config import derived_dir, fig_dir, raw_dir, setplotstyle
setplotstyle()
# %%
# Input files
f_cereal = raw_dir / 'cereal.parquet'
f_airlines = raw_dir / 'airlines.parquet'
f_firm_info = derived_dir / 'firm-info.parquet'
f_kappas = derived_di... | 30.28169 | 135 | 0.686047 | # %%
# %%
import pandas as pd
import numpy as np
import pathlib
import matplotlib
import matplotlib.pyplot as plt
from our_plot_config import derived_dir, fig_dir, raw_dir, setplotstyle
from kappas import do_one_period
setplotstyle()
# %%
# Input files
f_cereal = raw_dir / 'cereal.parquet'
f_airlines = raw_dir / 'a... | 0 | 0 | 0 | 0 | 0 | 273 | 0 | -3 | 112 |
fd53c1c1df9cfa4e457e6510b0e6228f6d83ad69 | 722 | py | Python | python/popart.ir/python_files/module.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 61 | 2020-07-06T17:11:46.000Z | 2022-03-12T14:42:51.000Z | python/popart.ir/python_files/module.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 1 | 2021-02-25T01:30:29.000Z | 2021-11-09T11:13:14.000Z | python/popart.ir/python_files/module.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 6 | 2020-07-15T12:33:13.000Z | 2021-11-07T06:55:00.000Z | # Copyright (c) 2021 Graphcore Ltd. All rights reserved.
| 36.1 | 79 | 0.709141 | # Copyright (c) 2021 Graphcore Ltd. All rights reserved.
class Module:
"""
Callable class from which user-defined layers can inherit.
The #build method should be overriden and should build the subgraph.
The benefit of inheriting from this class rather than passing a function is
that you can save input ten... | 0 | 0 | 0 | 643 | 0 | 0 | 0 | 0 | 22 |
d101b444025d87e58fca07c5c91baf0669f48075 | 4,736 | py | Python | benchmarks/oxuva/examples/track.py | willtwr/iSiam-TF | c9c1d0f49cc80f7a5549155fb220b6dce6b6516b | [
"MIT"
] | 2 | 2020-03-28T20:48:34.000Z | 2021-09-22T02:54:12.000Z | benchmarks/oxuva/examples/track.py | willtwr/iSiam-TF | c9c1d0f49cc80f7a5549155fb220b6dce6b6516b | [
"MIT"
] | 1 | 2020-03-28T20:59:30.000Z | 2020-04-03T20:09:53.000Z | benchmarks/oxuva/examples/track.py | willtwr/iSiam-TF | c9c1d0f49cc80f7a5549155fb220b6dce6b6516b | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
if __name__ == '__main__':
main()
| 34.318841 | 90 | 0.636824 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import cv2
import os
import time
import oxuva
from scripts import *
def main():
parser = argparse.ArgumentParser()
parser.add_argument('data_dir')
parser.add_argument('predictions... | 0 | 0 | 0 | 846 | 0 | 3,535 | 0 | -48 | 249 |
47ab914c592973fc14facd627639938d32460452 | 908 | py | Python | test.py | Gibbsdavidl/naive_tree | 02f69b83b97832a33e5008f85cae50d9286415cc | [
"MIT"
] | null | null | null | test.py | Gibbsdavidl/naive_tree | 02f69b83b97832a33e5008f85cae50d9286415cc | [
"MIT"
] | 1 | 2021-08-10T22:19:22.000Z | 2021-08-10T22:19:22.000Z | test.py | Gibbsdavidl/naive_tree | 02f69b83b97832a33e5008f85cae50d9286415cc | [
"MIT"
] | null | null | null | # Import classes from your brand new package
from naive_tree import GeneTree
# Create an object of Mammals class & call a method of it
myTree = GeneTree()
myTree.build_network()
myTree.print_gene_network_summary()
myTree.gene_network.print_test_edge(4140)
# then get network between source and list-of-leaves.
vs = myT... | 28.375 | 72 | 0.748899 | # Import classes from your brand new package
from naive_tree import GeneTree
from naive_tree import GeneNetwork
# Create an object of Mammals class & call a method of it
myTree = GeneTree()
myTree.build_network()
myTree.print_gene_network_summary()
myTree.gene_network.print_test_edge(4140)
# then get network between ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 22 |
cba575fe3c4d860e5b0b8717de6d7e6e18647762 | 7,080 | py | Python | codes/dgmpm_stability/CFL_comparison_random.py | adRenaud/research | 2f0062a1800d7a17577bbfc2393b084253d567f4 | [
"MIT"
] | 1 | 2021-06-18T14:52:03.000Z | 2021-06-18T14:52:03.000Z | codes/dgmpm_stability/CFL_comparison_random.py | adRenaud/research | 2f0062a1800d7a17577bbfc2393b084253d567f4 | [
"MIT"
] | 1 | 2019-01-07T13:11:11.000Z | 2019-01-07T13:11:11.000Z | codes/dgmpm_stability/CFL_comparison_random.py | adRenaud/research | 2f0062a1800d7a17577bbfc2393b084253d567f4 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import numpy as np
from scipy import optimize
import matplotlib.pyplot as plt
import pdb
import random
import os
# Symbolic function to evaluate shape functions
shape_functions=lambda x: np.matrix([(1-x)/DX,x/DX])
xn = np.array([0.,1.])
DX = 1.
## required for plotting residual
CFL=np.linspace(0... | 36.307692 | 232 | 0.642655 | #!/usr/bin/python
import numpy as np
from scipy import optimize
from sympy import *
import matplotlib.pyplot as plt
import pdb
import random
import os
def export2DTeXFile(fileName,bins,fields,*kwargs):
TeXFile=open(fileName,"w")
n_fields = np.shape(fields)[0]
n_labels = np.shape(kwargs)[1]
# Defi... | 0 | 0 | 0 | 0 | 0 | 3,547 | 0 | -2 | 137 |
b40a82670ea346149aaf3640009134ba1053fa90 | 37,795 | py | Python | ag/orbit/node/db.py | AlphaGriffin/orbit-node | 6e330a2734a6a5dfbb52d984fe0b2f8dff4755cd | [
"MIT"
] | null | null | null | ag/orbit/node/db.py | AlphaGriffin/orbit-node | 6e330a2734a6a5dfbb52d984fe0b2f8dff4755cd | [
"MIT"
] | null | null | null | ag/orbit/node/db.py | AlphaGriffin/orbit-node | 6e330a2734a6a5dfbb52d984fe0b2f8dff4755cd | [
"MIT"
] | null | null | null | # Copyright (C) 2018 Alpha Griffin
# @%@~LICENSE~@%@
| 41.854928 | 126 | 0.485673 | # Copyright (C) 2018 Alpha Griffin
# @%@~LICENSE~@%@
from . import config, TokenError
from bitcash.format import public_key_to_address
from os import path
import sqlite3
from hashlib import sha256
class TokenDB:
def __init__(self, auto_commit=True):
isolation = 'EXCLUSIVE' if not auto_commit else None... | 0 | 183 | 0 | 37,387 | 0 | 0 | 0 | 34 | 136 |
81003cc2b9becec46691667317615c5a7f7d2cda | 2,105 | py | Python | test_status_endpoints/test_status_tweet.py | RSMuthu/Twitter_API-Pytest | b272d8ead3d51bbd0d5a4720f67905dccee27d7c | [
"MIT"
] | null | null | null | test_status_endpoints/test_status_tweet.py | RSMuthu/Twitter_API-Pytest | b272d8ead3d51bbd0d5a4720f67905dccee27d7c | [
"MIT"
] | null | null | null | test_status_endpoints/test_status_tweet.py | RSMuthu/Twitter_API-Pytest | b272d8ead3d51bbd0d5a4720f67905dccee27d7c | [
"MIT"
] | null | null | null |
# status list to tweet
status_list = {"We welcome you to MSD family :)", "Hello World !!"}
| 46.777778 | 110 | 0.709264 | import pytest
from conftest import twitter_session, BASE_URL
from utils import get_home_tweets
# status list to tweet
status_list = {"We welcome you to MSD family :)", "Hello World !!"}
@pytest.mark.run(order=1) ## ording test cases -- make tweet first as first test case
@pytest.mark.parametrize("status_text", status... | 0 | 1,872 | 0 | 0 | 0 | 0 | 0 | 29 | 112 |
5d39942b02ac6f8ea852e08d75c444f2f2c627d5 | 1,776 | py | Python | compil_to_csv.py | bliiben/sha256SquaredPrecompilCSV | 752aa981299f1f06abf92ad76228926aa9267934 | [
"MIT"
] | null | null | null | compil_to_csv.py | bliiben/sha256SquaredPrecompilCSV | 752aa981299f1f06abf92ad76228926aa9267934 | [
"MIT"
] | null | null | null | compil_to_csv.py | bliiben/sha256SquaredPrecompilCSV | 752aa981299f1f06abf92ad76228926aa9267934 | [
"MIT"
] | null | null | null | import pickle
import re
prog = re.compile( r"^([\^\~\&\|])\((\w+),?(\w+)?\)$" )
with open("sha_decoded.pp", "r") as file:
_h, _REFERENCES_, _DEPENDENCY_ ,_INV_DEP_, _COST_ = pickle.load( file )
inv_refs = {v: k for k, v in _REFERENCES_.iteritems()}
#sorted_COST = sorted(_COST_.items(), key=operator.itemgetter(1))
o... | 21.39759 | 72 | 0.552365 | import pickle
import operator
import re
prog = re.compile( r"^([\^\~\&\|])\((\w+),?(\w+)?\)$" )
def getElements( op ):
m= prog.search(op)
ref1 = m.group(2)
ref2 = m.group(3)
return (ref1,ref2)
with open("sha_decoded.pp", "r") as file:
_h, _REFERENCES_, _DEPENDENCY_ ,_INV_DEP_, _COST_ = pickle.load( file )
inv_re... | 0 | 0 | 0 | 0 | 0 | 218 | 0 | -6 | 67 |
1f46c1bbb19eae64d53cea40d5922ff06d116ac8 | 474 | py | Python | notifs/asgi.py | gaybro8777/django-notifs | f349fdf2dc87f2b579055c4e2abd95832ad9df5b | [
"MIT"
] | 145 | 2017-06-22T20:37:14.000Z | 2022-02-03T21:18:28.000Z | notifs/asgi.py | gaybro8777/django-notifs | f349fdf2dc87f2b579055c4e2abd95832ad9df5b | [
"MIT"
] | 67 | 2017-06-23T06:53:32.000Z | 2021-11-13T04:00:27.000Z | notifs/asgi.py | gaybro8777/django-notifs | f349fdf2dc87f2b579055c4e2abd95832ad9df5b | [
"MIT"
] | 24 | 2017-06-22T20:37:17.000Z | 2022-02-17T19:52:35.000Z | import os
from channels.routing import ChannelNameRouter, ProtocolTypeRouter
from django.core.asgi import get_asgi_application
from notifications import consumers
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'notifs.settings')
application = ProtocolTypeRouter(
{
'http': get_asgi_application(),
... | 23.7 | 74 | 0.685654 | import os
from channels.routing import ChannelNameRouter, ProtocolTypeRouter
from django.core.asgi import get_asgi_application
from notifications import consumers
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'notifs.settings')
application = ProtocolTypeRouter(
{
'http': get_asgi_application(),
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1524f6da34655de1d60bbc96022b5edd80ee87e4 | 615 | py | Python | demo/python/multi-threading/demo4.py | dark-w/sokoban | 98cd76dd94ae0c7d1beaaca47f0d3598998bb43b | [
"Apache-2.0"
] | null | null | null | demo/python/multi-threading/demo4.py | dark-w/sokoban | 98cd76dd94ae0c7d1beaaca47f0d3598998bb43b | [
"Apache-2.0"
] | 9 | 2021-01-24T05:26:31.000Z | 2021-04-07T07:03:02.000Z | demo/python/multi-threading/demo4.py | dark-w/sokoban | 98cd76dd94ae0c7d1beaaca47f0d3598998bb43b | [
"Apache-2.0"
] | null | null | null | import threading
# pls thinking about if there not use mutex...
# you must try it, comment the line 12 and the line 14...
mutex = threading.Lock()
num = 0
if __name__ == "__main__":
main()
| 20.5 | 59 | 0.560976 | import threading
# pls thinking about if there not use mutex...
# you must try it, comment the line 12 and the line 14...
mutex = threading.Lock()
num = 0
def fun1(n):
global num
for i in range(n):
mutex.acquire()
num += 1
mutex.release()
print("num result: {}".format(num)) ... | 0 | 0 | 0 | 0 | 0 | 349 | 0 | 0 | 62 |
7ed241bdc8a02c16e6ea477e0032b989c2862ec7 | 14,833 | py | Python | decofre/infer.py | LoicGrobol/decofre | 68e12c8da4a6c032bb5ea3edff9e8484344e94e2 | [
"MIT"
] | 9 | 2021-01-15T10:34:02.000Z | 2021-12-24T13:58:36.000Z | decofre/infer.py | LoicGrobol/decofre | 68e12c8da4a6c032bb5ea3edff9e8484344e94e2 | [
"MIT"
] | 8 | 2020-03-13T10:52:48.000Z | 2022-02-06T22:15:28.000Z | decofre/infer.py | LoicGrobol/decofre | 68e12c8da4a6c032bb5ea3edff9e8484344e94e2 | [
"MIT"
] | null | null | null | import typing as ty
import numpy as np
import spacy
spacy.tokens.Doc.set_extension("clusters", default=None)
spacy.tokens.Span.set_extension("cluster", default=None)
spacy.tokens.Span.set_extension("singleton", default=True)
def antecedents_from_mentions(
mentions: ty.Iterable[ty.Dict[str, ty.Any]],
max_... | 32.6 | 104 | 0.569945 | import contextlib
import pathlib
import shutil
import sys
import tempfile
import typing as ty
import click
import click_pathlib
import jsonlines
import numpy as np
import spacy
import ujson as json
from typing import Any, Dict, List, Literal, Optional, TextIO
from typing_extensions import TypedDict
from decofre.form... | 0 | 5,641 | 0 | 160 | 0 | 5,667 | 0 | 49 | 496 |
82b98750a07e2cf2bdd895c8151af601bd05d953 | 1,233 | py | Python | lib/galaxy/model/migrate/versions/0124_job_state_history.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 2 | 2017-03-28T12:11:41.000Z | 2017-04-22T02:58:25.000Z | lib/galaxy/model/migrate/versions/0124_job_state_history.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 12 | 2020-07-24T23:55:19.000Z | 2021-12-19T11:40:06.000Z | lib/galaxy/model/migrate/versions/0124_job_state_history.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 1 | 2018-05-30T07:38:54.000Z | 2018-05-30T07:38:54.000Z | """
Migration script for the job state history table
"""
from __future__ import print_function
import datetime
import logging
from sqlalchemy import Column, DateTime, ForeignKey, Integer, MetaData, String, Table
from galaxy.model.custom_types import TrimmedString
now = datetime.datetime.utcnow
log = logging.getLogg... | 30.825 | 90 | 0.660989 | """
Migration script for the job state history table
"""
from __future__ import print_function
import datetime
import logging
from sqlalchemy import Column, DateTime, ForeignKey, Integer, MetaData, String, Table
from galaxy.model.custom_types import TrimmedString
from galaxy.model.migrate.versions.util import create... | 0 | 0 | 0 | 0 | 0 | 231 | 0 | 50 | 68 |
d38193783eb4aa254cd51a4fcd972a92d001a8ae | 3,595 | py | Python | deploy_dst.py | CiscoDevNet/dst-automation | dffcde76f1bd7dc4dd4350c7a224f8ad9679ad4a | [
"BSD-3-Clause"
] | 4 | 2020-04-28T16:38:18.000Z | 2021-06-09T08:45:24.000Z | deploy_dst.py | CiscoDevNet/dst-automation | dffcde76f1bd7dc4dd4350c7a224f8ad9679ad4a | [
"BSD-3-Clause"
] | 6 | 2020-11-04T16:35:42.000Z | 2021-04-25T13:38:56.000Z | deploy_dst.py | CiscoDevNet/dst-automation | dffcde76f1bd7dc4dd4350c7a224f8ad9679ad4a | [
"BSD-3-Clause"
] | 3 | 2020-05-13T22:43:50.000Z | 2021-05-01T22:30:33.000Z | #!/usr/bin/env python3
"""
Deploy DST configuration using Ansible.
Copyright (c) 2020, Copyright (c) 2020, Cisco Systems, Inc. or its affiliates
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redis... | 32.387387 | 122 | 0.708484 | #!/usr/bin/env python3
"""
Deploy DST configuration using Ansible.
Copyright (c) 2020, Copyright (c) 2020, Cisco Systems, Inc. or its affiliates
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redis... | 0 | 0 | 0 | 0 | 0 | 1,547 | 0 | -23 | 291 |
d80b042bdf0e393b2fc4472e860104feb09f75f7 | 647 | py | Python | list_class.py | jmb462/rst-to-mediawiki | 2d32f1659593bf6a49668a471f091450526201b9 | [
"MIT"
] | null | null | null | list_class.py | jmb462/rst-to-mediawiki | 2d32f1659593bf6a49668a471f091450526201b9 | [
"MIT"
] | null | null | null | list_class.py | jmb462/rst-to-mediawiki | 2d32f1659593bf6a49668a471f091450526201b9 | [
"MIT"
] | null | null | null | #######################################################################
# Godot RST File to MediaWiki converter #
#######################################################################
import sys
source=sys.argv[1]
with open(source) as file:
file_contents = file.read()
... | 34.052632 | 146 | 0.48068 | #######################################################################
# Godot RST File to MediaWiki converter #
#######################################################################
import re
import pandas as pd
import sys
source=sys.argv[1]
with open(source) as file:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -14 | 48 |
e6443582a8702368766317174ba425fb2305a214 | 2,261 | py | Python | code/lab2_code/two_collide.py | YuYanzy/Lab_ECE_5725 | 1eb0ebbd3e1aa00a850f6d5ad7f3676386e2fb1b | [
"Apache-2.0"
] | null | null | null | code/lab2_code/two_collide.py | YuYanzy/Lab_ECE_5725 | 1eb0ebbd3e1aa00a850f6d5ad7f3676386e2fb1b | [
"Apache-2.0"
] | null | null | null | code/lab2_code/two_collide.py | YuYanzy/Lab_ECE_5725 | 1eb0ebbd3e1aa00a850f6d5ad7f3676386e2fb1b | [
"Apache-2.0"
] | null | null | null | # Yu Zhang yz2729
# Lab 2 Date: 09/23/21
import RPi.GPIO as GPIO
import pygame # Import pygame graphics library
import time
import os # for OS calls
CODERUN = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(17,GPIO.IN,pull_up_down = GPIO.PUD_UP)
GPIO.add_event_detect(17, GPIO.FALLING, callback=GPIO17_callback, bo... | 30.972603 | 87 | 0.673596 | # Yu Zhang yz2729
# Lab 2 Date: 09/23/21
import RPi.GPIO as GPIO
import pygame # Import pygame graphics library
import time
import os # for OS calls
CODERUN = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(17,GPIO.IN,pull_up_down = GPIO.PUD_UP)
def GPIO17_callback(channel):
global CODERUN
CODERUN = Fal... | 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 22 |
881a2e37024566fd7ac36f53a1f9885400a09b73 | 9,151 | py | Python | uplift/tree/_tree.py | Antiguru11/uplift | ffaa5bcd20d6aa264fa3b2d191327c86384e4f7c | [
"Apache-2.0"
] | null | null | null | uplift/tree/_tree.py | Antiguru11/uplift | ffaa5bcd20d6aa264fa3b2d191327c86384e4f7c | [
"Apache-2.0"
] | null | null | null | uplift/tree/_tree.py | Antiguru11/uplift | ffaa5bcd20d6aa264fa3b2d191327c86384e4f7c | [
"Apache-2.0"
] | null | null | null |
import numpy as np
_epsilon = np.finfo('double').eps
| 32.335689 | 82 | 0.460059 | from abc import ABCMeta, abstractmethod
import numpy as np
_epsilon = np.finfo('double').eps
class Tree():
def __init__(self, n_groups):
self.n_groups = n_groups
self.reset()
def reset(self):
self.nodes = list()
self.leaf_ids = list()
def add_node(self,
... | 0 | 689 | 0 | 8,217 | 0 | 0 | 0 | 18 | 167 |
791006d4cf920590caf78ae89fb7b395283728f7 | 1,778 | py | Python | mysql_autoxtrabackup/utils/mysql_cli.py | icy1900/MySQL-AutoXtraBackup | dfdf86ba4d1fe15a35cececa4934cb7f247e448f | [
"MIT"
] | 134 | 2015-04-17T15:05:13.000Z | 2022-01-06T20:51:37.000Z | mysql_autoxtrabackup/utils/mysql_cli.py | icy1900/MySQL-AutoXtraBackup | dfdf86ba4d1fe15a35cececa4934cb7f247e448f | [
"MIT"
] | 316 | 2015-04-22T07:40:46.000Z | 2021-11-08T12:09:02.000Z | mysql_autoxtrabackup/utils/mysql_cli.py | icy1900/MySQL-AutoXtraBackup | dfdf86ba4d1fe15a35cececa4934cb7f247e448f | [
"MIT"
] | 80 | 2015-04-30T19:25:24.000Z | 2021-11-09T10:32:54.000Z | # This file will consist of some wrapper for using MySQL
# It is mainly used for preparing and calling mysql cli
import logging
logger = logging.getLogger(__name__)
| 40.409091 | 79 | 0.669291 | # This file will consist of some wrapper for using MySQL
# It is mainly used for preparing and calling mysql cli
import logging
from mysql_autoxtrabackup.general_conf import path_config
from mysql_autoxtrabackup.general_conf.generalops import GeneralClass
from mysql_autoxtrabackup.process_runner.process_runner import ... | 0 | 0 | 0 | 1,382 | 0 | 0 | 0 | 139 | 90 |
98e6f77a0bdec0402472f82795c8851852f675eb | 817 | py | Python | ExerciciosPython/Analisador de Lista.py | NathanSoares25/ExerciciosPython | 718a47ad26690355807b4ec1412e386b02acd098 | [
"MIT"
] | 2 | 2021-03-19T00:27:55.000Z | 2021-03-24T01:24:08.000Z | ExerciciosPython/Analisador de Lista.py | NathanSoares25/ExerciciosPython | 718a47ad26690355807b4ec1412e386b02acd098 | [
"MIT"
] | null | null | null | ExerciciosPython/Analisador de Lista.py | NathanSoares25/ExerciciosPython | 718a47ad26690355807b4ec1412e386b02acd098 | [
"MIT"
] | null | null | null | # Faa um programa que leia 5 valores e guarde-os em uma lista, no final mostre qual o maior e o menor valor e qual
# A sua posio na lista
valores = list() # cria uma lista
for c in range(0, 5):
valores.append(int(input(f'Digite um valor para a posio {c}: '))) # inserindo os nmeros dentro da lista
print(f'Os val... | 40.85 | 117 | 0.684211 | # Faça um programa que leia 5 valores e guarde-os em uma lista, no final mostre qual é o maior e o menor valor e qual
# A sua posição na lista
valores = list() # cria uma lista
for c in range(0, 5):
valores.append(int(input(f'Digite um valor para a posição {c}: '))) # inserindo os números dentro da lista
print(f... | 56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ab724ee8ffa9e2aff66290fce867acf596434d97 | 2,430 | py | Python | scripts/sources/S_EllipsoidTestSVI.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | 6 | 2021-04-10T13:24:30.000Z | 2022-03-26T08:20:42.000Z | scripts/sources/S_EllipsoidTestSVI.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | null | null | null | scripts/sources/S_EllipsoidTestSVI.py | dpopadic/arpmRes | ddcc4de713b46e3e9dcb77cc08c502ce4df54f76 | [
"MIT"
] | 6 | 2019-08-13T22:02:17.000Z | 2022-02-09T17:49:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.1.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # S_El... | 27.613636 | 207 | 0.70535 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.4'
# jupytext_version: 1.1.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # S_El... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 22 |
05a5f6749f1319f6551e4027aec3c982e8778867 | 823 | py | Python | example/search-author.py | dollodart/gssa | 078ff1e8c2d103d871f6f0e4c50f961384127a3c | [
"MIT"
] | null | null | null | example/search-author.py | dollodart/gssa | 078ff1e8c2d103d871f6f0e4c50f961384127a3c | [
"MIT"
] | null | null | null | example/search-author.py | dollodart/gssa | 078ff1e8c2d103d871f6f0e4c50f961384127a3c | [
"MIT"
] | null | null | null | from gssa.core import search
from gssa.graph_search import breadth_first_search
from gssa.secretenv import author_first, author_last
author = author_first + ' ' + author_last
publist = search(author, nres=100, overwrite=False)
breadth_first_search(publist[:100], levels=2, filters=(has_author, special))
| 30.481481 | 76 | 0.746051 | from gssa.core import search
from gssa.graph_search import breadth_first_search
from gssa.secretenv import author_first, author_last, vancouver_author
author = author_first + ' ' + author_last
publist = search(author, nres=100, overwrite=False)
def has_author(pub):
if author_last in ''.join(x.lower() for x in pu... | 0 | 0 | 0 | 0 | 0 | 426 | 0 | 18 | 69 |
d8eb1bf097980e7748dab7e27729f783c74750f9 | 893 | py | Python | PyParadise/__init__.py | brandherd/PyParadise | 1c65bf634e17931f165fd88b9938f604b9371e2e | [
"MIT"
] | 1 | 2021-06-01T13:07:54.000Z | 2021-06-01T13:07:54.000Z | PyParadise/__init__.py | brandherd/PyParadise | 1c65bf634e17931f165fd88b9938f604b9371e2e | [
"MIT"
] | 3 | 2021-11-03T02:07:38.000Z | 2022-03-14T20:35:04.000Z | PyParadise/__init__.py | brandherd/PyParadise | 1c65bf634e17931f165fd88b9938f604b9371e2e | [
"MIT"
] | null | null | null |
import copyreg as copy_reg
copy_reg.pickle(MethodType, _pickle_method, _unpickle_method)
| 24.135135 | 67 | 0.671892 | from . import data
from . import cube
from . import rss
from . import spectrum1d
from . import ssplibrary
from . import parameters
from . import fit_profile
from . import header
import copyreg as copy_reg
from types import *
def _pickle_method(method):
func_name = method.__func__.__name__
obj = method.__self... | 0 | 0 | 0 | 0 | 0 | 555 | 0 | 0 | 244 |
d90a4713ede40d909bddd90975cd6377a1d93ec8 | 3,789 | py | Python | NEAT/neat/attributes.py | ShangtongZhang/DataMining | f72a17694ca971dffc80ee6251ab47327c87492c | [
"Apache-2.0"
] | 1 | 2018-02-22T15:40:22.000Z | 2018-02-22T15:40:22.000Z | NEAT/neat/attributes.py | ShangtongZhang/DataMining | f72a17694ca971dffc80ee6251ab47327c87492c | [
"Apache-2.0"
] | null | null | null | NEAT/neat/attributes.py | ShangtongZhang/DataMining | f72a17694ca971dffc80ee6251ab47327c87492c | [
"Apache-2.0"
] | 3 | 2017-03-31T03:38:36.000Z | 2019-04-27T15:58:26.000Z |
# TODO: There is probably a lot of room for simplification of these classes using metaprogramming.
| 31.31405 | 98 | 0.61441 | from random import choice, gauss, random
from neat.config import ConfigParameter
# TODO: There is probably a lot of room for simplification of these classes using metaprogramming.
class BaseAttribute(object):
def __init__(self, name):
self.name = name
for n, cname in zip(self.__config_items__, se... | 0 | 0 | 0 | 3,513 | 0 | 0 | 0 | 37 | 136 |
7dffe231c31a4be0d60223846b10ded3b3382b58 | 1,938 | py | Python | test.py | hidevn/sphere-face-py | 5b85431b038ac0e196b53ed7e19e2540133132d3 | [
"MIT"
] | null | null | null | test.py | hidevn/sphere-face-py | 5b85431b038ac0e196b53ed7e19e2540133132d3 | [
"MIT"
] | null | null | null | test.py | hidevn/sphere-face-py | 5b85431b038ac0e196b53ed7e19e2540133132d3 | [
"MIT"
] | null | null | null | import caffe
image_folder = './images'
output_folder = './features'
model = './train/code/sphereface_deploy.prototxt'
weights = './train/result/sphereface_model.caffemodel'
net = caffe.Net(model, weights, caffe.TEST)
if __name__ == '__main__':
#save_feature_vectors()
print(detect_from_img('./Aaron_Peirsol_000... | 34.607143 | 110 | 0.691434 | import numpy as np
import cv2
import os
import caffe
from scipy.spatial.distance import cosine
image_folder = './images'
output_folder = './features'
model = './train/code/sphereface_deploy.prototxt'
weights = './train/result/sphereface_model.caffemodel'
net = caffe.Net(model, weights, caffe.TEST)
def extract_deep_fe... | 0 | 0 | 0 | 0 | 0 | 1,358 | 0 | -6 | 180 |
d86e121283842502e8b415f5c5bb7b8769d03bc1 | 1,806 | py | Python | beast/physicsmodel/helpers/gridhelpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/physicsmodel/helpers/gridhelpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/physicsmodel/helpers/gridhelpers.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | """ Common helpers in the grid package """
__all__ = ['isNestedInstance', 'pretty_size_print']
def isNestedInstance(obj, cl):
""" Test for sub-classes types
I could not find a universal test
keywords
--------
obj: object instance
object to test
cl: Class
... | 24.08 | 72 | 0.54485 | """ Common helpers in the grid package """
__all__ = ['isNestedInstance', 'pretty_size_print']
def isNestedInstance(obj, cl):
""" Test for sub-classes types
I could not find a universal test
keywords
--------
obj: object instance
object to test
cl: Class
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4484d154e370a6956803f8544b3ec654031a14f2 | 317 | py | Python | tests/test_showers.py | deepjets/deepjets | fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75 | [
"BSD-3-Clause"
] | 23 | 2016-11-13T02:48:32.000Z | 2021-11-13T01:02:20.000Z | tests/test_showers.py | deepjets/deepjets | fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75 | [
"BSD-3-Clause"
] | null | null | null | tests/test_showers.py | deepjets/deepjets | fc9c610d4fd80975d8d25eb0d7cd41d7dd318c75 | [
"BSD-3-Clause"
] | 7 | 2016-12-02T16:58:33.000Z | 2021-09-02T12:36:46.000Z | from deepjets.generate import generate_events
for event in generate_events('w_vincia.config', 1, write_to='vincia.hepmc', shower='vincia', random_state=1, verbosity=0):
pass
for event, weight in generate_events('w.config', 1, write_to='dire.hepmc', shower='dire', random_state=1, verbosity=0):
print weight
| 39.625 | 122 | 0.753943 | from deepjets.generate import generate_events
for event in generate_events('w_vincia.config', 1, write_to='vincia.hepmc', shower='vincia', random_state=1, verbosity=0):
pass
for event, weight in generate_events('w.config', 1, write_to='dire.hepmc', shower='dire', random_state=1, verbosity=0):
print weight
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
431546551b4d409bb50114ac36a7a15e82717c34 | 2,518 | py | Python | test/python/test_loss.py | slin004/incubator-singa | 09c8a2e65927d6405262bbb969e6dab96809df07 | [
"Apache-2.0"
] | 1 | 2019-11-15T12:46:10.000Z | 2019-11-15T12:46:10.000Z | test/python/test_loss.py | slin004/incubator-singa | 09c8a2e65927d6405262bbb969e6dab96809df07 | [
"Apache-2.0"
] | 8 | 2020-01-16T06:56:23.000Z | 2020-01-18T03:46:04.000Z | test/python/test_loss.py | slin004/incubator-singa | 09c8a2e65927d6405262bbb969e6dab96809df07 | [
"Apache-2.0"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 34.027027 | 74 | 0.602462 | #
# 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... | 0 | 0 | 0 | 1,540 | 0 | 0 | 0 | 1 | 90 |
41866b837dfda3d810db4eccfdd0ab68717e6db9 | 1,492 | py | Python | src/SortingSim/test.py | berkayaslan/Sorting_Simulation | 16cfcd404063b060191dab244025012271edacd8 | [
"MIT"
] | 2 | 2020-01-26T09:42:03.000Z | 2020-05-26T13:57:02.000Z | src/SortingSim/test.py | berkayaslan/Sorting_Simulation | 16cfcd404063b060191dab244025012271edacd8 | [
"MIT"
] | null | null | null | src/SortingSim/test.py | berkayaslan/Sorting_Simulation | 16cfcd404063b060191dab244025012271edacd8 | [
"MIT"
] | null | null | null | import pygame
pygame.init()
board = pygame.display.set_mode((400, 400))
while 1:
for e in pygame.event.get():
if e.type == pygame.KEYDOWN and e.key == pygame.K_TAB:
print("pressed tab")
"""
# ///---=== FIND STICK TEST ===---
ex1 = Sticks.Sticks()
ex1.new_sticks(10)
a = [i.length for i in ex... | 27.62963 | 68 | 0.626676 | import Sticks
import stick
import time
import pygame
pygame.init()
board = pygame.display.set_mode((400, 400))
while 1:
for e in pygame.event.get():
if e.type == pygame.KEYDOWN and e.key == pygame.K_TAB:
print("pressed tab")
"""
# ///---=== FIND STICK TEST ===---
ex1 = Sticks.Sticks()
ex1.n... | 8 | 0 | 0 | 0 | 0 | 0 | 0 | -27 | 66 |
279fc711c62428d8edd7bb25202187627d94fc62 | 581 | py | Python | website/volunteers/migrations/0010_auto_20201129_2152.py | tibet5/website | 937e1941aaadbf7cd0a404a2655858451c01dd54 | [
"MIT"
] | null | null | null | website/volunteers/migrations/0010_auto_20201129_2152.py | tibet5/website | 937e1941aaadbf7cd0a404a2655858451c01dd54 | [
"MIT"
] | null | null | null | website/volunteers/migrations/0010_auto_20201129_2152.py | tibet5/website | 937e1941aaadbf7cd0a404a2655858451c01dd54 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-11-30 02:52
| 24.208333 | 56 | 0.598967 | # Generated by Django 3.1.2 on 2020-11-30 02:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('volunteers', '0009_auto_20201128_2348'),
]
operations = [
migrations.AddField(
model_name='volunteer',
name='anonymi... | 0 | 0 | 0 | 467 | 0 | 0 | 0 | 19 | 46 |
1ceb29a6e7813b27c5a606e336c81ea0d60d0dfc | 4,088 | py | Python | examples/external_isolation/plot_both_pol_sweep_results.py | JBHilton/covid-19-in-households-public | 42fb31a3c581a3d5b6b6959078a5f6bf4f25212e | [
"Apache-2.0"
] | 4 | 2020-04-17T13:19:43.000Z | 2021-12-02T19:56:27.000Z | examples/external_isolation/plot_both_pol_sweep_results.py | JBHilton/covid-19-in-households-public | 42fb31a3c581a3d5b6b6959078a5f6bf4f25212e | [
"Apache-2.0"
] | 6 | 2020-06-16T17:06:52.000Z | 2021-02-08T18:32:39.000Z | examples/external_isolation/plot_both_pol_sweep_results.py | JBHilton/covid-19-in-households-public | 42fb31a3c581a3d5b6b6959078a5f6bf4f25212e | [
"Apache-2.0"
] | 3 | 2020-05-12T12:09:48.000Z | 2021-06-07T09:16:09.000Z | '''This plots the results of the parameter sweep for the OOHI
example.
'''
from os import mkdir
from os.path import isdir
from pickle import load
from matplotlib.pyplot import close, colorbar, subplots
from mpl_toolkits.axes_grid1 import make_axes_locatable
if isdir('plots/oohi') is False:
mkdir('plots/oohi')
wit... | 29.410072 | 73 | 0.630871 | '''This plots the results of the parameter sweep for the OOHI
example.
'''
from os import mkdir
from os.path import isdir
from pickle import load
from numpy import arange, array, atleast_2d, hstack, sum, where, zeros
from matplotlib.pyplot import close, colorbar, imshow, set_cmap, subplots
from mpl_toolkits.axes_grid1 ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 44 |
d9c3702c2b8b268d50c3dceb6e958e4b9a10cc86 | 1,515 | py | Python | on Raspberry/DHTPub.py | NourS-d/Smart-GreenHouse-Programming_For_IoT | 18632759c80c87b6343e70aac20b1dbdd3fb6503 | [
"MIT"
] | null | null | null | on Raspberry/DHTPub.py | NourS-d/Smart-GreenHouse-Programming_For_IoT | 18632759c80c87b6343e70aac20b1dbdd3fb6503 | [
"MIT"
] | null | null | null | on Raspberry/DHTPub.py | NourS-d/Smart-GreenHouse-Programming_For_IoT | 18632759c80c87b6343e70aac20b1dbdd3fb6503 | [
"MIT"
] | null | null | null | from DHT import DHT_Read
import paho.mqtt.client as mqtt
import json
import requests
import time
try:
file=open("config.json", "r")
json_str = file.read()
file.close()
except:
raise KeyError("Error opening config file. Please check.")
config_json = json.loads(json_str)
url = config_jso... | 19.423077 | 93 | 0.673927 | from DHT import DHT_Read
import paho.mqtt.client as mqtt
import json
import requests
import time
class DHT_Pub:
def __init__(self, clientID, broker, port = 1883):
self.clientID = clientID
self.port = port
self.pub=mqtt.Client(self.clientID, port)
self.broker = broker
def start(self):
self.pub.conne... | 0 | 0 | 0 | 379 | 0 | 0 | 0 | 0 | 23 |
614756d04575afdd61b6db9c917c997966809450 | 1,303 | py | Python | apps/views.py | Jayson7/django-weather-app | 91931cb59de07213739a95019918f7d91f42e2b2 | [
"MIT"
] | null | null | null | apps/views.py | Jayson7/django-weather-app | 91931cb59de07213739a95019918f7d91f42e2b2 | [
"MIT"
] | null | null | null | apps/views.py | Jayson7/django-weather-app | 91931cb59de07213739a95019918f7d91f42e2b2 | [
"MIT"
] | null | null | null | # Create your views here.
| 34.289474 | 165 | 0.521105 | from django.shortcuts import render
import json
from urllib.error import HTTPError
import urllib
# Create your views here.
def homepage(request):
if request.method == 'POST':
city = request.POST['city']
try:
url = urllib.request.urlopen('https://api.openweathermap.org/data/2.5/weather... | 2 | 0 | 0 | 0 | 0 | 1,156 | 0 | 9 | 111 |
86a5fc8774ef271374e84a2219191c1c7929b948 | 1,959 | py | Python | uta_tools/data_sources/mane_transcript_mappings.py | cancervariants/uta_tools | daa3fcbaabcc8aaeef8f2b0c7080bacd928d97d6 | [
"MIT"
] | 1 | 2022-01-19T18:17:56.000Z | 2022-01-19T18:17:56.000Z | uta_tools/data_sources/mane_transcript_mappings.py | cancervariants/uta-tools | 9d102ea96e5f7b07a862113ee07eca2ce3412ad4 | [
"MIT"
] | 25 | 2021-10-13T19:57:39.000Z | 2022-03-29T17:56:32.000Z | uta_tools/data_sources/mane_transcript_mappings.py | cancervariants/uta-tools | 9d102ea96e5f7b07a862113ee07eca2ce3412ad4 | [
"MIT"
] | null | null | null | """The module for loading MANE Transcript mappings to genes."""
| 36.962264 | 78 | 0.646759 | """The module for loading MANE Transcript mappings to genes."""
from typing import Dict, Optional, List
import pandas as pd
from uta_tools import MANE_SUMMARY_PATH, logger
class MANETranscriptMappings:
"""The MANE Transcript mappings class."""
def __init__(self, mane_data_path: str = MANE_SUMMARY_PATH) -> ... | 0 | 0 | 0 | 1,761 | 0 | 0 | 0 | 42 | 91 |
fda805b8612fa20791d43e89fb3298b7f7ab2ab3 | 1,253 | py | Python | lib/datasets/__init__.py | hudmgy/HRNet-Facial-Landmark-Detection | fe95d4b19e92fe267201d38648635b9beffba77a | [
"MIT"
] | 1 | 2021-06-22T07:58:24.000Z | 2021-06-22T07:58:24.000Z | lib/datasets/__init__.py | hudmgy/HRNet-Facial-Landmark-Detection | fe95d4b19e92fe267201d38648635b9beffba77a | [
"MIT"
] | null | null | null | lib/datasets/__init__.py | hudmgy/HRNet-Facial-Landmark-Detection | fe95d4b19e92fe267201d38648635b9beffba77a | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Tianheng Cheng(tianhengcheng@gmail.com)
# ------------------------------------------------------------------------------
from .aflw import AFLW
from .cofw import COF... | 29.139535 | 80 | 0.592977 | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Tianheng Cheng(tianhengcheng@gmail.com)
# ------------------------------------------------------------------------------
from .aflw import AFLW
from .cofw import COF... | 0 | 0 | 0 | 0 | 0 | 644 | 0 | 35 | 133 |
cd5f236ac6ba3563921c41b0487c9111fcce775b | 3,306 | py | Python | tests/test_ntree.py | awoods/ocfl-py | ef4ff9d6b9a950088ff5373c4f1dfeec339f034d | [
"MIT"
] | 14 | 2018-09-10T20:08:04.000Z | 2022-03-29T18:10:43.000Z | tests/test_ntree.py | awoods/ocfl-py | ef4ff9d6b9a950088ff5373c4f1dfeec339f034d | [
"MIT"
] | 73 | 2019-02-13T20:35:09.000Z | 2022-03-24T15:21:34.000Z | tests/test_ntree.py | awoods/ocfl-py | ef4ff9d6b9a950088ff5373c4f1dfeec339f034d | [
"MIT"
] | 3 | 2019-02-13T18:39:50.000Z | 2021-05-04T15:39:04.000Z | """Digest tests."""
| 47.228571 | 85 | 0.635209 | """Digest tests."""
import unittest
from ocfl.ntree import Ntree
class TestAll(unittest.TestCase):
"""TestAll class to run tests."""
def test01_encode(self):
"""Test encode."""
nt = Ntree()
self.assertEqual(nt.encode(''), '')
self.assertEqual(nt.encode('a'), 'a')
self.... | 0 | 0 | 0 | 3,217 | 0 | 0 | 0 | 1 | 67 |
5575aa3a08f72b6233406337d9b98d6034623d01 | 26,482 | py | Python | tests/unit_tests/test_set_dropin.py | realead/cykhash | b1a45843c3be49cd232d3c78315d2291a830284f | [
"MIT"
] | 18 | 2019-03-13T08:20:06.000Z | 2021-06-22T08:03:01.000Z | tests/unit_tests/test_set_dropin.py | realead/cykhash | b1a45843c3be49cd232d3c78315d2291a830284f | [
"MIT"
] | 6 | 2020-04-13T10:11:45.000Z | 2021-11-14T15:59:55.000Z | tests/unit_tests/test_set_dropin.py | realead/cykhash | b1a45843c3be49cd232d3c78315d2291a830284f | [
"MIT"
] | 7 | 2019-05-19T22:24:57.000Z | 2020-08-26T23:01:23.000Z |
from cykhash import Int64Set, Int32Set, Float64Set, Float32Set, PyObjectSet
SUFFIX={Int64Set : "int64",
Int32Set : "int32",
Float64Set : "float64",
Float32Set : "float32",
PyObjectSet : "pyobject"}
| 32.099394 | 85 | 0.601088 | import pytest
from unittestmock import UnitTestMock
from cykhash import Int64Set, Int32Set, Float64Set, Float32Set, PyObjectSet
import cykhash
SUFFIX={Int64Set : "int64",
Int32Set : "int32",
Float64Set : "float64",
Float32Set : "float32",
PyObjectSet : "pyobject"}
def pick_fun... | 0 | 25,751 | 0 | 0 | 0 | 155 | 0 | 1 | 318 |
a1fba859af22a9a1b8fc1410806c26c08f872a7f | 6,478 | py | Python | lib/airflow/tests/contrib/jobs/test_dag_trigger.py | ideax-business/ai-flow | 0a7797a093beddf827f68cad7a11e0babf1b5059 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | lib/airflow/tests/contrib/jobs/test_dag_trigger.py | ideax-business/ai-flow | 0a7797a093beddf827f68cad7a11e0babf1b5059 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | lib/airflow/tests/contrib/jobs/test_dag_trigger.py | ideax-business/ai-flow | 0a7797a093beddf827f68cad7a11e0babf1b5059 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 42.064935 | 113 | 0.706082 | # 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 u... | 0 | 316 | 0 | 4,223 | 0 | 0 | 0 | 516 | 399 |
db967d18b0150b9b46f807e4175b670ec1cd835a | 1,063 | py | Python | tests/test_model_registry.py | murthyn/composer | 2a04cf387dd8558556500f7ef2bc6d3d131043d5 | [
"Apache-2.0"
] | null | null | null | tests/test_model_registry.py | murthyn/composer | 2a04cf387dd8558556500f7ef2bc6d3d131043d5 | [
"Apache-2.0"
] | null | null | null | tests/test_model_registry.py | murthyn/composer | 2a04cf387dd8558556500f7ef2bc6d3d131043d5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 MosaicML. All Rights Reserved.
| 26.575 | 61 | 0.686736 | # Copyright 2021 MosaicML. All Rights Reserved.
import pytest
from composer.models import ModelHparams
from composer.trainer.trainer_hparams import model_registry
@pytest.mark.parametrize("model_name", model_registry.keys())
def test_model_registry(model_name, request):
if model_name in ['timm']:
pytest... | 0 | 874 | 0 | 0 | 0 | 0 | 0 | 49 | 91 |
6d2e3d350112bf5ba43f5eeb7294864da2a45653 | 1,290 | py | Python | src/lab2rgb.py | ytyaru/Python.ColorSpace.Converter.20210606081641 | 7cd88aa12eb23ac26785ad1bff3a3e8034947c65 | [
"CC0-1.0"
] | null | null | null | src/lab2rgb.py | ytyaru/Python.ColorSpace.Converter.20210606081641 | 7cd88aa12eb23ac26785ad1bff3a3e8034947c65 | [
"CC0-1.0"
] | null | null | null | src/lab2rgb.py | ytyaru/Python.ColorSpace.Converter.20210606081641 | 7cd88aa12eb23ac26785ad1bff3a3e8034947c65 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
# coding: utf8
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='Lab->RGB', formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument('lab', help="\n 0.0 <= l <= 100.0\n -86.18463 <= a <= 98.25422\n -107.863686 <= b <= 94.48248")
... | 33.076923 | 134 | 0.589147 | #!/usr/bin/env python3
# coding: utf8
from labconstants import LabConstants
def lab2rgb(lab):
import math
l, a, b = lab
y = (l + 16) / 116
x = y if math.isnan(a) else y + a / 500
z = y if math.isnan(b) else y - b / 200
y = LabConstants.Yn * lab_xyz(y)
x = LabConstants.Xn * lab_xyz(x)
z... | 63 | 0 | 0 | 0 | 0 | 642 | 0 | 16 | 90 |
0300076d66cbcef4d8deb5912fdfdb704586b6be | 23,969 | py | Python | app/model.py | Princessgladys/googleresourcefinder | 7715276b3c588f7c457de04944559052c8170f7e | [
"Apache-2.0"
] | null | null | null | app/model.py | Princessgladys/googleresourcefinder | 7715276b3c588f7c457de04944559052c8170f7e | [
"Apache-2.0"
] | null | null | null | app/model.py | Princessgladys/googleresourcefinder | 7715276b3c588f7c457de04944559052c8170f7e | [
"Apache-2.0"
] | null | null | null | # Copyright 2009-2010 by Ka-Ping Yee
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 49.217659 | 80 | 0.683925 | # Copyright 2009-2010 by Ka-Ping Yee
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 0 | 3,414 | 0 | 17,221 | 0 | 0 | 0 | 0 | 321 |
d9b6dacb47bb3bb1903c75fd6a311e2b090af877 | 12,452 | py | Python | rllib/policy/torch_policy.py | brechtmann/ray | 0c76ebd676f794847ea990aecced22b88717d09e | [
"Apache-2.0"
] | null | null | null | rllib/policy/torch_policy.py | brechtmann/ray | 0c76ebd676f794847ea990aecced22b88717d09e | [
"Apache-2.0"
] | null | null | null | rllib/policy/torch_policy.py | brechtmann/ray | 0c76ebd676f794847ea990aecced22b88717d09e | [
"Apache-2.0"
] | null | null | null | from ray.rllib.utils.framework import try_import_torch
torch, _ = try_import_torch()
| 37.963415 | 79 | 0.608336 | import numpy as np
import time
from ray.rllib.policy.policy import Policy, LEARNER_STATS_KEY, ACTION_PROB, \
ACTION_LOGP
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import override, DeveloperAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.s... | 0 | 7,845 | 0 | 4,008 | 0 | 0 | 0 | 264 | 246 |
3788688439f869905b054a77ecac95a103f926f6 | 1,297 | py | Python | sshd_telegram_alert/__main__.py | nanih98/sshd-telegram-alert | 7f5adb662658bcf3dc9020113f6133b1184a971b | [
"MIT"
] | null | null | null | sshd_telegram_alert/__main__.py | nanih98/sshd-telegram-alert | 7f5adb662658bcf3dc9020113f6133b1184a971b | [
"MIT"
] | null | null | null | sshd_telegram_alert/__main__.py | nanih98/sshd-telegram-alert | 7f5adb662658bcf3dc9020113f6133b1184a971b | [
"MIT"
] | null | null | null | from .parser import parse_args
from .logger import Logger
from .configuration import Configuration
from .requester import Requester
import platform
def main() -> None:
"""Main function where the program start"""
args = parse_args()
config_path = check_os_path()
log = Logger(debug_flag=True)
log... | 25.94 | 86 | 0.656901 | import os
from .parser import parse_args
from .logger import Logger
from .configuration import Configuration
from .requester import Requester
import platform
def check_os_path():
if platform.system() == "Darwin":
print(os.path.join(os.environ.get('HOME'),
".sshd-telegram-credentials.json"))
... | 2 | 0 | 0 | 0 | 0 | 293 | 0 | -12 | 45 |
077847e78c05efc885c4770c62e1e3d7fa340596 | 6,461 | py | Python | azure-mgmt-search/azure/mgmt/search/models/search_service.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-search/azure/mgmt/search/models/search_service.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-search/azure/mgmt/search/models/search_service.py | JonathanGailliez/azure-sdk-for-python | f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b | [
"MIT"
] | 1 | 2018-08-28T14:36:47.000Z | 2018-08-28T14:36:47.000Z | # 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 ... | 52.959016 | 99 | 0.67358 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 0 | 0 | 0 | 5,932 | 0 | 0 | 0 | 9 | 46 |
a50e62be14975592aef74c3fa5ad879365e37cfa | 1,893 | py | Python | Prediction.py | sarthak25/Google-Stock-Price-Prediction | 017f78b20def5ca5a3e2727051bcbc735b9dc33c | [
"MIT"
] | 1 | 2021-07-04T12:09:35.000Z | 2021-07-04T12:09:35.000Z | Prediction.py | sarthak25/Google-Stock-Price-Prediction | 017f78b20def5ca5a3e2727051bcbc735b9dc33c | [
"MIT"
] | null | null | null | Prediction.py | sarthak25/Google-Stock-Price-Prediction | 017f78b20def5ca5a3e2727051bcbc735b9dc33c | [
"MIT"
] | 1 | 2020-11-16T18:31:57.000Z | 2020-11-16T18:31:57.000Z | # A PREDICTIVE MODEL FOR GOOGLE STOCK PRICES USING LINEAR REGRESSION
# IMPORTING ALL THE MODULES
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
# READING THE DATASET AND VISUALIZING A FEW ENTRIES
dt=pd.read_csv("Dataset/Google_Stock_... | 27.042857 | 69 | 0.725304 | # A PREDICTIVE MODEL FOR GOOGLE STOCK PRICES USING LINEAR REGRESSION
# IMPORTING ALL THE MODULES
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
# READING THE DATASET AND VISUALIZING A FEW ENTRIES
dt=pd.read_csv... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
f95e1333ac543570c7afc2700e11021923f0fd0f | 579 | py | Python | torchtools/test.py | Takezo87/torchtools | 4230305d9063dabee3614f0dcd8557739b90f817 | [
"Apache-2.0"
] | null | null | null | torchtools/test.py | Takezo87/torchtools | 4230305d9063dabee3614f0dcd8557739b90f817 | [
"Apache-2.0"
] | 1 | 2022-02-26T06:23:52.000Z | 2022-02-26T06:23:52.000Z | torchtools/test.py | Takezo87/torchtools | 4230305d9063dabee3614f0dcd8557739b90f817 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: 100_test.ipynb (unless otherwise specified).
__all__ = ['items_to_arrays']
# Cell
# Cell
def items_to_arrays(items):
'''convert list of item tuples into X,y numpy arrays (for use with numpy dataloader)'''
# return np.stack([x[0] for x in items]), np.stack([x[1] for... | 32.166667 | 91 | 0.704663 | # AUTOGENERATED! DO NOT EDIT! File to edit: 100_test.ipynb (unless otherwise specified).
__all__ = ['items_to_arrays']
# Cell
from .core import *
from .data import *
from .models import *
from .datasets import *
from .augmentations import *
from .datablock import *
from .dataloader import *
# Cell
def items_to_array... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 154 |
13d97300471566ef042dc75cbe53f61f814fbf4a | 28,681 | py | Python | sopel/tools/__init__.py | cottongin/sopel | 54e42747959d86ddc1ba40bc02098cb3ab7d9439 | [
"EFL-2.0"
] | null | null | null | sopel/tools/__init__.py | cottongin/sopel | 54e42747959d86ddc1ba40bc02098cb3ab7d9439 | [
"EFL-2.0"
] | null | null | null | sopel/tools/__init__.py | cottongin/sopel | 54e42747959d86ddc1ba40bc02098cb3ab7d9439 | [
"EFL-2.0"
] | null | null | null | # coding=utf-8
"""Useful miscellaneous tools and shortcuts for Sopel plugins
*Availability: 3+*
"""
# tools.py - Sopel misc tools
# Copyright 2008, Sean B. Palmer, inamidst.com
# Copyright 2012, Elad Alfassa <elad@fedoraproject.org>
# Copyright 2012, Elsie Powell, embolalia.com
# Licensed under the Eiffel Forum Lice... | 34.103448 | 87 | 0.62055 | # coding=utf-8
"""Useful miscellaneous tools and shortcuts for Sopel plugins
*Availability: 3+*
"""
# tools.py - Sopel misc tools
# Copyright 2008, Sean B. Palmer, inamidst.com
# Copyright © 2012, Elad Alfassa <elad@fedoraproject.org>
# Copyright 2012, Elsie Powell, embolalia.com
# Licensed under the Eiffel Forum Lic... | 5 | 4,065 | 0 | 8,751 | 0 | 220 | 0 | 34 | 475 |
22713b1b406683d4ed6ad898aa63ba71a1a28ac4 | 3,520 | py | Python | oracle-runs.py | fair-trec/trec2021-fair-public | d9f16bd7d70c350fa6e5906fac36c4f1af837573 | [
"MIT"
] | 3 | 2021-07-28T09:10:48.000Z | 2022-03-23T15:08:48.000Z | oracle-runs.py | fair-trec/trec2021-fair-public | d9f16bd7d70c350fa6e5906fac36c4f1af837573 | [
"MIT"
] | null | null | null | oracle-runs.py | fair-trec/trec2021-fair-public | d9f16bd7d70c350fa6e5906fac36c4f1af837573 | [
"MIT"
] | null | null | null | """
Produce TREC fair ranking runs from an oracle.
This script assumes the data lives in a directory 'data'. It loads the training
topics and uses them as an oracle for producing rankings.
Usage:
oracle-runs.py --task1 [options]
oracle-runs.py --task2 [options]
Options:
-v, --verbose
Write verbo... | 27.716535 | 95 | 0.641477 | """
Produce TREC fair ranking runs from an oracle.
This script assumes the data lives in a directory 'data'. It loads the training
topics and uses them as an oracle for producing rankings.
Usage:
oracle-runs.py --task1 [options]
oracle-runs.py --task2 [options]
Options:
-v, --verbose
Write verbo... | 0 | 0 | 0 | 0 | 0 | 2,641 | 0 | -13 | 250 |
4b44ab6318cc359b020659d482e8f114bcd8d62d | 6,394 | py | Python | scan_list.py | jeremyng123/cobaltstrike | 51a67ec918904d8a3b7ea07ab62a10b58183eb8f | [
"MIT"
] | 193 | 2020-12-21T03:20:27.000Z | 2022-02-28T11:11:08.000Z | scan_list.py | jeremyng123/cobaltstrike | 51a67ec918904d8a3b7ea07ab62a10b58183eb8f | [
"MIT"
] | 4 | 2021-01-09T11:27:57.000Z | 2021-12-06T13:38:17.000Z | scan_list.py | jeremyng123/cobaltstrike | 51a67ec918904d8a3b7ea07ab62a10b58183eb8f | [
"MIT"
] | 54 | 2020-12-20T20:24:54.000Z | 2022-02-28T11:11:09.000Z | import argparse
import csv
import urllib3
import datetime
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Extract Cobalt Strike beacon and configuration from a list of server')
parser.add_argument('HOSTLIST', help='List of IP addresses or domains from a file')
parser.add_argumen... | 43.202703 | 174 | 0.542853 | import argparse
import csv
import requests
import urllib3
from urllib.parse import urljoin
from lib import decrypt_beacon, decode_config, JsonEncoder
import multiprocessing
from functools import partial
import datetime
import pandas as pd
def mp_worker( BITS, PORT, HTTP,output_list, host ):
print("Checking {}".fo... | 0 | 0 | 0 | 0 | 0 | 3,961 | 0 | 49 | 178 |
30ce9806dbf6f7dbafe0f568c2b2657bff6791b5 | 9,140 | py | Python | ar-cnn/utils/midi_utils.py | carniblood/aws-deepcomposer-retrogame | 6876eedd2a128362baff4daace73ee4f254676c3 | [
"MIT-0"
] | null | null | null | ar-cnn/utils/midi_utils.py | carniblood/aws-deepcomposer-retrogame | 6876eedd2a128362baff4daace73ee4f254676c3 | [
"MIT-0"
] | null | null | null | ar-cnn/utils/midi_utils.py | carniblood/aws-deepcomposer-retrogame | 6876eedd2a128362baff4daace73ee4f254676c3 | [
"MIT-0"
] | null | null | null | # The MIT-Zero License
# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limit... | 42.511628 | 101 | 0.659956 | # The MIT-Zero License
# Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limit... | 0 | 0 | 0 | 0 | 0 | 1,093 | 0 | 0 | 23 |
958a3b3c3c8bbbf71fdafc826be947de6c1e562c | 2,740 | py | Python | core/constraints/__init__.py | AluBhorta/UCSPy-Engine | 917eea6ab98338c5763c9fd07e24da7fa2ee1cda | [
"MIT"
] | 6 | 2021-09-29T06:18:55.000Z | 2021-09-29T18:56:13.000Z | core/constraints/__init__.py | AluBhorta/UCSPy-Engine | 917eea6ab98338c5763c9fd07e24da7fa2ee1cda | [
"MIT"
] | 1 | 2021-10-01T00:00:15.000Z | 2021-10-01T00:14:24.000Z | core/constraints/__init__.py | AluBhorta/UCSPy-Engine | 917eea6ab98338c5763c9fd07e24da7fa2ee1cda | [
"MIT"
] | 3 | 2020-06-26T05:59:56.000Z | 2021-09-29T06:25:23.000Z |
from core.constraints.hard.hard_constraint_1 import violates_hard_constraint_1
from core.constraints.hard.hard_constraint_2 import violates_hard_constraint_2
from core.constraints.soft.soft_constraint_1 import penalty_of_soft_constraint_1
from core.constraints.soft.soft_constraint_2 import penalty_of_soft_constraint_... | 44.193548 | 143 | 0.712409 |
from core.constraints.hard.hard_constraint_1 import violates_hard_constraint_1
from core.constraints.hard.hard_constraint_2 import violates_hard_constraint_2
from core.constraints.soft.soft_constraint_1 import penalty_of_soft_constraint_1
from core.constraints.soft.soft_constraint_2 import penalty_of_soft_constraint_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b38add5b43c8c288b94da71185957d3fc3fad700 | 963 | py | Python | extras/scripts/convert_pronto_codes.py | aneisch/home-assistant | d8a866d75f512d23ffa7b9e5d82d7c575ece3c76 | [
"Apache-2.0"
] | 18 | 2016-08-10T01:02:27.000Z | 2017-10-26T04:19:49.000Z | extras/scripts/convert_pronto_codes.py | aneisch/home-assistant | d8a866d75f512d23ffa7b9e5d82d7c575ece3c76 | [
"Apache-2.0"
] | null | null | null | extras/scripts/convert_pronto_codes.py | aneisch/home-assistant | d8a866d75f512d23ffa7b9e5d82d7c575ece3c76 | [
"Apache-2.0"
] | 4 | 2017-04-20T19:41:21.000Z | 2017-05-16T17:10:05.000Z | #!/usr/bin/env python
# Provide code as arg: ./whatever.py "0000 ... ..."
import binascii
import struct
if __name__ == '__main__':
import sys
for code in sys.argv[1:]:
pronto = bytearray.fromhex(code)
pulses = pronto2lirc(pronto)
output = ""
count = 0
for pulse in ... | 27.514286 | 90 | 0.554517 | #!/usr/bin/env python
# Provide code as arg: ./whatever.py "0000 ... ..."
import binascii
import struct
def pronto2lirc(pronto):
codes = [long(binascii.hexlify(pronto[i:i+2]), 16) for i in xrange(0, len(pronto), 2)]
if codes[0]:
raise ValueError('Pronto code should start with 0000')
if len(code... | 0 | 0 | 0 | 0 | 0 | 413 | 0 | 0 | 23 |
2585b1efefd1186d26a369a8a60b9ee6612d3e1c | 1,302 | py | Python | cards/turret.py | MrCoft/EngiMod | 65c90bd9231ac388d8af7849a1835914f1eefc78 | [
"MIT"
] | null | null | null | cards/turret.py | MrCoft/EngiMod | 65c90bd9231ac388d8af7849a1835914f1eefc78 | [
"MIT"
] | null | null | null | cards/turret.py | MrCoft/EngiMod | 65c90bd9231ac388d8af7849a1835914f1eefc78 | [
"MIT"
] | null | null | null |
Card(
name = "Turret",
type = "power",
target = "self",
rarity = "uncommon",
cost = 1,
const = dict(
DAMAGE = 6,
DAMAGE_UPGRADE = 3,
MAGIC_NUMBER = "DAMAGE",
),
desc = "At the end of your turn, deal !M! damage to a random enemy.",
upgrade_code = """
u... | 28.933333 | 123 | 0.554531 | from engi_mod import *
Card(
name = "Turret",
type = "power",
target = "self",
rarity = "uncommon",
cost = 1,
const = dict(
DAMAGE = 6,
DAMAGE_UPGRADE = 3,
MAGIC_NUMBER = "DAMAGE",
),
desc = "At the end of your turn, deal !M! damage to a random enemy.",
upgra... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22 |
d31cdcc12511cabf5ac61c6151db8886c0888504 | 494 | py | Python | 0x0F-python-object_relational_mapping/model_city.py | C-distin/alx-higher_level_programming | ee018135b24ac07d40f2309a4febf21b8a25aee4 | [
"MIT"
] | null | null | null | 0x0F-python-object_relational_mapping/model_city.py | C-distin/alx-higher_level_programming | ee018135b24ac07d40f2309a4febf21b8a25aee4 | [
"MIT"
] | null | null | null | 0x0F-python-object_relational_mapping/model_city.py | C-distin/alx-higher_level_programming | ee018135b24ac07d40f2309a4febf21b8a25aee4 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
Define a class City that inherits from Base
"""
| 24.7 | 71 | 0.686235 | #!/usr/bin/python3
"""
Define a class City that inherits from Base
"""
from sqlalchemy import Column, Integer, String, ForeignKey
from model_state import Base
class City(Base):
"""
A class City that inherits from Base
"""
__tablename__ = "cities"
id = Column(Integer, primary_key=True, nullable=F... | 0 | 0 | 0 | 310 | 0 | 0 | 0 | 44 | 68 |
86d16852ee15057e22545a2d7257027440ff9f5d | 2,857 | py | Python | static_grouper/templatetags/static_grouper.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 15 | 2015-02-10T21:16:31.000Z | 2021-03-25T16:46:20.000Z | static_grouper/templatetags/static_grouper.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 4 | 2021-02-10T15:42:08.000Z | 2022-03-11T23:20:38.000Z | static_grouper/templatetags/static_grouper.py | adrienlachaize/dezede | 584ec30cedab95152e2f95595b7691a04e6736e2 | [
"BSD-3-Clause"
] | 6 | 2016-07-10T14:20:48.000Z | 2022-01-19T18:34:02.000Z |
from django.template import (Library)
register = Library()
CONTEXT_VARIABLE_NAME = 'static_grouper_dict'
register.tag('addstatic', AddStaticNode)
register.tag('static_list', StaticListNode)
| 32.465909 | 83 | 0.621281 | from collections import defaultdict
from compressor.templatetags.compress import CompressorNode
from django.template import (
Library, Node, Template, TemplateSyntaxError, Context)
register = Library()
CONTEXT_VARIABLE_NAME = 'static_grouper_dict'
class AddStaticNode(Node):
def __init__(self, parser, toke... | 0 | 0 | 0 | 2,466 | 0 | 0 | 0 | 103 | 90 |
b9d69527abbd1d87104316935718861ead22d02c | 549 | py | Python | solfasol/issues/migrations/0009_auto_20200918_0020.py | rekognize/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | null | null | null | solfasol/issues/migrations/0009_auto_20200918_0020.py | rekognize/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | 1 | 2020-06-18T13:08:47.000Z | 2020-06-18T13:08:47.000Z | solfasol/issues/migrations/0009_auto_20200918_0020.py | Solfasol/solfasol | c960c3364c753d75161242eccac4f085d800c843 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-09-17 21:20
| 23.869565 | 109 | 0.591985 | # Generated by Django 3.1.1 on 2020-09-17 21:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('issues', '0008_auto_20200918_0006'),
]
operations = [
migrations.RemoveField(
model_name='issue',
name='file_data',
... | 0 | 0 | 0 | 435 | 0 | 0 | 0 | 19 | 46 |
c7e38cb251d253e29429b6f992fbff071d6adf2c | 627 | py | Python | osm_austria_building_coverage/urls.py | thomaskonrad/osm_austria_building_coverage | 3f678837b6800adfdd165f9b8424d1a258ca63de | [
"MIT"
] | 2 | 2015-06-21T19:39:05.000Z | 2015-06-22T10:54:17.000Z | osm_austria_building_coverage/urls.py | thomaskonrad/osm-austria-building-coverage | 3f678837b6800adfdd165f9b8424d1a258ca63de | [
"MIT"
] | 2 | 2018-02-17T16:51:06.000Z | 2018-02-23T07:11:13.000Z | osm_austria_building_coverage/urls.py | thomaskonrad/osm_austria_building_coverage | 3f678837b6800adfdd165f9b8424d1a258ca63de | [
"MIT"
] | 3 | 2019-10-16T08:46:13.000Z | 2021-04-14T23:49:07.000Z | from django.conf.urls import url
from coverage_score_viewer.views import index, states, districts, municipalities, details, search, coverage_chart
from map.views import map
urlpatterns = [
url(r'^$', index, name='index'),
url(r'^states/$', states, name='states'),
url(r'^districts/$', districts, name='dist... | 33 | 113 | 0.673046 | from django.conf.urls import url
from coverage_score_viewer.views import index, states, districts, municipalities, details, search, coverage_chart
from map.views import map
urlpatterns = [
url(r'^$', index, name='index'),
url(r'^states/$', states, name='states'),
url(r'^districts/$', districts, name='dist... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3cc7f8fa749c9cf61233fe046871543a9e762b27 | 672 | py | Python | PythonApps/hanoi_tower.py | zactsiap/SB4-sample | b9a70d267db3a330170a5cd6aa2c0bf37bfdd5d2 | [
"MIT"
] | 1 | 2018-03-28T08:55:10.000Z | 2018-03-28T08:55:10.000Z | PythonApps/hanoi_tower.py | zactsiap/Python | b9a70d267db3a330170a5cd6aa2c0bf37bfdd5d2 | [
"MIT"
] | null | null | null | PythonApps/hanoi_tower.py | zactsiap/Python | b9a70d267db3a330170a5cd6aa2c0bf37bfdd5d2 | [
"MIT"
] | null | null | null | #Hanoi tower
import time
diskNumber = 1
while diskNumber != 0:
print("============================")
diskNumber = input("Give how many disk you have.\nGive 0 to end.\n============================\n")
print("============================")
diskNumber=int(diskNumber)
moveTower(diskNumber,"A... | 28 | 103 | 0.552083 | #Hanoi tower
import time
def moveTower(height,fromPole, toPole, withPole):
if height >= 1:
moveTower(height-1,fromPole,withPole,toPole)
moveDisk(fromPole,toPole)
moveTower(height-1,withPole,toPole,fromPole)
def moveDisk(fp,tp):
print("Moving disk from",fp,"to",tp)
... | 0 | 0 | 0 | 0 | 0 | 233 | 0 | 0 | 58 |
0c47d0dab31b2f5af3dda0da867f4d530e0f3323 | 8,665 | py | Python | build/lib/Pythactyl/client.py | IAmGadget/Pythactyl | b0cca838d434e8ceba1a90328708b9cde3d9fbcc | [
"MIT"
] | 2 | 2021-07-13T21:43:44.000Z | 2021-09-06T08:05:35.000Z | build/lib/Pythactyl/client.py | IAmGadget/Pythactyl | b0cca838d434e8ceba1a90328708b9cde3d9fbcc | [
"MIT"
] | 1 | 2021-09-11T16:08:43.000Z | 2021-10-30T16:10:56.000Z | build/lib/Pythactyl/client.py | IAmGadget/Pythactyl | b0cca838d434e8ceba1a90328708b9cde3d9fbcc | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
print("I dont run. No use in trying to make me lol")
| 36.716102 | 130 | 0.552222 | import requests
from errors import PermissionsMissing
class PterodactylClient(object):
def __init__(self, url, api_key):
self.url = url + "/api/client"
self.api_key = api_key
def account(self):
headers = {
"Authorization": "Bearer {}".format(self.api_key),
"Acce... | 0 | 0 | 0 | 8,503 | 0 | 0 | 0 | 10 | 67 |
2958aa609c7322fec1b8dd23a67c95f349cb1219 | 1,110 | py | Python | terse/Grammar/Command_Assign.py | talipovm/Terse | e6bfd3ac0d411b18d5167019623d5451695e787c | [
"MIT"
] | 2 | 2015-04-08T21:28:35.000Z | 2015-04-08T23:25:04.000Z | terse/Grammar/Command_Assign.py | talipovm/Terse | e6bfd3ac0d411b18d5167019623d5451695e787c | [
"MIT"
] | null | null | null | terse/Grammar/Command_Assign.py | talipovm/Terse | e6bfd3ac0d411b18d5167019623d5451695e787c | [
"MIT"
] | 1 | 2015-04-08T21:29:22.000Z | 2015-04-08T21:29:22.000Z |
import logging
log = logging.getLogger(__name__) | 32.647059 | 101 | 0.667568 | from Containers.ParsedStructure import ParsedElement
from Tools.misc import strip_all
from Grammar.Top_Grammar import Top_Grammar
from Grammar.Functions import ExpressionFactory
import logging
log = logging.getLogger(__name__)
class Command_Assign(Top_Grammar):
def __init__(self, GI, FI, parsed_container, trouble... | 0 | 0 | 0 | 860 | 0 | 0 | 0 | 90 | 111 |
80ccd07a50d9e26f0f3c296670920b067e2d2e5e | 1,043 | py | Python | Algorithms/0097_Interleaving_String/Python/Interleaving_String_Solution_1.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null | Algorithms/0097_Interleaving_String/Python/Interleaving_String_Solution_1.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null | Algorithms/0097_Interleaving_String/Python/Interleaving_String_Solution_1.py | lht19900714/Leetcode_Solutions | dac7a038329a5c1f8a78e86cc6f49116b963f1fb | [
"MIT"
] | null | null | null |
# Space: O(n)
# Time: O(n)
| 28.972222 | 99 | 0.540748 |
# Space: O(n)
# Time: O(n)
class Solution:
def isInterleave(self, s1: str, s2: str, s3: str) -> bool:
length_1, length_2, length_3 = len(s1), len(s2), len(s3)
if length_1 == length_2 == length_3 == 0: return True
if length_1 + length_2 != length_3: return False
cache = [[None for ... | 0 | 0 | 0 | 984 | 0 | 0 | 0 | 0 | 23 |
a2cfb3dd847c2c2f892bf3b4da52f1a13e5ade61 | 338 | py | Python | carProject/carApp/models.py | cs-fullstack-2019-spring/django-validation-cw-cgarciapieto | 51df6fbd8d4e5ad878c4a620ca822ecd9df55711 | [
"Apache-2.0"
] | null | null | null | carProject/carApp/models.py | cs-fullstack-2019-spring/django-validation-cw-cgarciapieto | 51df6fbd8d4e5ad878c4a620ca822ecd9df55711 | [
"Apache-2.0"
] | null | null | null | carProject/carApp/models.py | cs-fullstack-2019-spring/django-validation-cw-cgarciapieto | 51df6fbd8d4e5ad878c4a620ca822ecd9df55711 | [
"Apache-2.0"
] | null | null | null |
# car Model with input/attributes make, model, year, mpg | 28.166667 | 56 | 0.718935 | from django.db import models
# car Model with input/attributes make, model, year, mpg
class CarModel(models.Model):
make = models.CharField(max_length=200)
model = models.CharField(max_length=200)
year = models.IntegerField(default=0)
mpg = models.IntegerField(default=0)
def __str__(self):
... | 0 | 0 | 0 | 229 | 0 | 0 | 0 | 7 | 45 |
e8525b400d730f96fedff9ad040d2992ff14e0fd | 193 | py | Python | ecfactory/mnt_cycles/mnt_cycles_examples.py | weikengchen/ecfactory | f509c00b7cf66f4b8dbe9540599a4c95b9742bfd | [
"MIT"
] | 39 | 2016-06-09T13:47:57.000Z | 2022-02-10T14:06:20.000Z | ecfactory/mnt_cycles/mnt_cycles_examples.py | frevson/ecfactory-A-SageMath-Library-for-Constructing-Elliptic-Curves | f509c00b7cf66f4b8dbe9540599a4c95b9742bfd | [
"MIT"
] | 3 | 2019-04-26T14:15:34.000Z | 2021-02-03T09:21:37.000Z | ecfactory/mnt_cycles/mnt_cycles_examples.py | frevson/ecfactory-A-SageMath-Library-for-Constructing-Elliptic-Curves | f509c00b7cf66f4b8dbe9540599a4c95b9742bfd | [
"MIT"
] | 13 | 2017-09-27T08:08:49.000Z | 2022-03-28T12:11:20.000Z | import ecfactory.mnt_cycles as mnt_cycles
# Example (find an MNT cycle with D = -19)
cycles = mnt_cycles.make_cycle(-19)
print('Found a cycle: ' + str(cycles[0][0]) + ', ' + str(cycles[0][1])) | 38.6 | 71 | 0.678756 | import ecfactory.mnt_cycles as mnt_cycles
# Example (find an MNT cycle with D = -19)
cycles = mnt_cycles.make_cycle(-19)
print('Found a cycle: ' + str(cycles[0][0]) + ', ' + str(cycles[0][1])) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19600211c81f047065f97d9d51dc1a3189acd673 | 4,107 | py | Python | data_collector_app.py | durgeshsamariya/foodify.ai | c058996fb095103f3b28e1d439073cf4ddbd26b0 | [
"MIT"
] | 2 | 2022-02-17T06:25:10.000Z | 2022-02-20T03:57:37.000Z | data_collector_app.py | durgeshsamariya/foodify.ai | c058996fb095103f3b28e1d439073cf4ddbd26b0 | [
"MIT"
] | null | null | null | data_collector_app.py | durgeshsamariya/foodify.ai | c058996fb095103f3b28e1d439073cf4ddbd26b0 | [
"MIT"
] | null | null | null | import PIL
import streamlit as st
import datetime
import uuid
from streamlit.uploaded_file_manager import UploadedFile
from utils.utils import upload_image, create_unique_filename, save_to_google_sheet
st.title("Foodify.ai Data Collection ")
st.write(
"Upload or take a photo of your food and help us to build the w... | 33.390244 | 110 | 0.600195 | import PIL
import streamlit as st
import datetime
import uuid
from streamlit.uploaded_file_manager import UploadedFile
from utils.utils import upload_image, create_unique_filename, save_to_google_sheet
st.title("Foodify.ai Data Collection 🍔🌯🍫")
st.write(
"Upload or take a photo of your food and help us to build... | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
62c7d6156a97c6551bc35203a263f248aed6d089 | 2,525 | py | Python | libs/orm.py | BreakUnrealGod/TanTan | 043454a76ee27d61e7d9aede7818f9127e34aaf2 | [
"MIT"
] | null | null | null | libs/orm.py | BreakUnrealGod/TanTan | 043454a76ee27d61e7d9aede7818f9127e34aaf2 | [
"MIT"
] | 10 | 2019-12-04T23:38:04.000Z | 2022-02-10T09:53:59.000Z | swiper/libs/orm.py | lijiaqipy/test1 | ab628a794ab67e153b929c819c876c5a676ab068 | [
"MIT"
] | null | null | null | from django.core.cache import cache
from common import config
# class ModelToDictMixin(object):
def get(cls, *args, **kwargs):
"""
objects get
Model.get(pk=123)
:param self:
:param args:
:param kwargs:
:return:
"""
# 1
# pk id
if 'pk' in kwargs:
pk = kwa... | 22.954545 | 75 | 0.636832 | from django.db import models
from django.core.cache import cache
from common import config
# class ModelToDictMixin(object):
def to_dict(self, exclude=[]):
attr_dict = {}
for field in self._meta.fields:
field_name = field.attname
if field_name not in exclude:
attr_dict[field_name... | 576 | 0 | 0 | 0 | 0 | 731 | 0 | 7 | 90 |
a3a6bcc50693cebd7f3c061c9e8471bb491ad207 | 3,142 | py | Python | airbyte-integrations/connectors/source-trello/unit_tests/test_control_rate_limit.py | OTRI-Unipd/OTRI-airbyte | 50eeeb773f75246e86c6e167b0cd7d2dda6efe0d | [
"MIT"
] | 6,215 | 2020-09-21T13:45:56.000Z | 2022-03-31T21:21:45.000Z | airbyte-integrations/connectors/source-trello/unit_tests/test_control_rate_limit.py | OTRI-Unipd/OTRI-airbyte | 50eeeb773f75246e86c6e167b0cd7d2dda6efe0d | [
"MIT"
] | 8,448 | 2020-09-21T00:43:50.000Z | 2022-03-31T23:56:06.000Z | airbyte-integrations/connectors/source-trello/unit_tests/test_control_rate_limit.py | OTRI-Unipd/OTRI-airbyte | 50eeeb773f75246e86c6e167b0cd7d2dda6efe0d | [
"MIT"
] | 1,251 | 2020-09-20T05:48:47.000Z | 2022-03-31T10:41:29.000Z | #
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
import requests
# Define standard timings in seconds
SLEEP_ON_HIGH_LOAD: float = 9.0
TEST_DATA_FIELD = "some_data_field"
TEST_RATE_LIMIT_THRESHOLD = 0.1
TEST_HEADERS_NAME = [
("x-rate-limit-api-key-remaining", "x-rate-limit-api-key-max"),
("x-rate-... | 34.911111 | 116 | 0.668046 | #
# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
#
from functools import wraps
import requests
# Define standard timings in seconds
SLEEP_ON_HIGH_LOAD: float = 9.0
TEST_DATA_FIELD = "some_data_field"
TEST_RATE_LIMIT_THRESHOLD = 0.1
TEST_HEADERS_NAME = [
("x-rate-limit-api-key-remaining", "x-rate-limit... | 0 | 1,438 | 0 | 0 | 0 | 80 | 0 | 6 | 72 |
d9d1654b34f40e0c7abcc17dff20fa72909b9f64 | 8,810 | py | Python | xmonitor/db/sqlalchemy/migrate_repo/versions/017_quote_encrypted_swift_credentials.py | froyobin/xmonitor | 092dcaa01f834353ffd8dd3c40edf9e97543bfe8 | [
"Apache-2.0"
] | null | null | null | xmonitor/db/sqlalchemy/migrate_repo/versions/017_quote_encrypted_swift_credentials.py | froyobin/xmonitor | 092dcaa01f834353ffd8dd3c40edf9e97543bfe8 | [
"Apache-2.0"
] | null | null | null | xmonitor/db/sqlalchemy/migrate_repo/versions/017_quote_encrypted_swift_credentials.py | froyobin/xmonitor | 092dcaa01f834353ffd8dd3c40edf9e97543bfe8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 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 requ... | 36.106557 | 78 | 0.632123 | # Copyright 2013 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 requ... | 0 | 0 | 0 | 0 | 0 | 297 | 0 | 3 | 145 |
54fcba5a90b30f291e1a2fab18963885b8029fe5 | 1,885 | py | Python | cm/cm_dhexppot/CM/CM_TUW19/array2raster.py | historeno/enermaps | ad3a97636baa153a56367e374d0fef7f009bf19d | [
"Apache-2.0"
] | null | null | null | cm/cm_dhexppot/CM/CM_TUW19/array2raster.py | historeno/enermaps | ad3a97636baa153a56367e374d0fef7f009bf19d | [
"Apache-2.0"
] | null | null | null | cm/cm_dhexppot/CM/CM_TUW19/array2raster.py | historeno/enermaps | ad3a97636baa153a56367e374d0fef7f009bf19d | [
"Apache-2.0"
] | null | null | null | """
Created on August 14 2018
@author: fallahnejad@eeg.tuwien.ac.at
"""
import os
import sys
from osgeo import gdal, osr
path = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
if path not in sys.path:
sys.path.append(path)
def array2raster(
outRasterPath, geo_transform, dataTyp... | 29.920635 | 86 | 0.646154 | """
Created on August 14 2018
@author: fallahnejad@eeg.tuwien.ac.at
"""
import os
import sys
from osgeo import gdal, osr
path = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
if path not in sys.path:
sys.path.append(path)
def array2raster(
outRasterPath, geo_transform, dataTyp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9ba66ac0118865fada74771be7bf4006b25265ce | 5,286 | py | Python | util/scripts/stack-depth-info.py | systems-nuts/popcorn-compiler-alpine | 5c225c7d3055db83dc654b6b5525c34bbdacded1 | [
"Linux-OpenIB"
] | 30 | 2019-04-07T14:58:31.000Z | 2021-05-24T19:07:20.000Z | util/scripts/stack-depth-info.py | XRDevIEEE/popcorn-compiler | 2cb2eccc0c75b5963d9fec26ad80a7b881316b1d | [
"Linux-OpenIB"
] | 11 | 2018-07-24T19:31:26.000Z | 2020-09-03T08:56:23.000Z | util/scripts/stack-depth-info.py | XRDevIEEE/popcorn-compiler | 2cb2eccc0c75b5963d9fec26ad80a7b881316b1d | [
"Linux-OpenIB"
] | 17 | 2018-08-26T12:43:15.000Z | 2022-03-18T12:08:40.000Z | #!/usr/bin/python3
import sys
###############################################################################
# Config
###############################################################################
dataFile = None
binFile = None
onlyFunc = False
verbose = False
#####################################################... | 30.732558 | 104 | 0.574915 | #!/usr/bin/python3
import sys, subprocess
###############################################################################
# Config
###############################################################################
dataFile = None
binFile = None
onlyFunc = False
verbose = False
#########################################... | 0 | 0 | 0 | 0 | 0 | 3,657 | 0 | 12 | 115 |
d6d71f011810b5ff2754627d1771f5d19d8fd950 | 178 | py | Python | examples/get_user_info.py | suyashjawale/InstagramCLI | 56b7f8e1f97ad723c41a15874d5ab5c8967d08c3 | [
"MIT"
] | 5 | 2022-01-26T00:15:52.000Z | 2022-03-16T17:18:29.000Z | examples/get_user_info.py | suyashjawale/InstagramCLI | 56b7f8e1f97ad723c41a15874d5ab5c8967d08c3 | [
"MIT"
] | 1 | 2021-11-03T17:26:11.000Z | 2021-11-14T05:06:20.000Z | examples/get_user_info.py | suyashjawale/InstagramCLI | 56b7f8e1f97ad723c41a15874d5ab5c8967d08c3 | [
"MIT"
] | 1 | 2022-01-02T03:50:29.000Z | 2022-01-02T03:50:29.000Z | from InstagramCLI import InstagramCLI
cli = InstagramCLI(username="", password="")
data= cli.get_user_info(target_username="usnjsi77",save_to_device=True)
print(data)
cli.close() | 35.6 | 71 | 0.803371 | from InstagramCLI import InstagramCLI
cli = InstagramCLI(username="", password="")
data= cli.get_user_info(target_username="usnjsi77",save_to_device=True)
print(data)
cli.close() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a8f79a8e7bb2e7ba26110a94905fe82627d84c0 | 8,592 | py | Python | pymatgen/analysis/molecule_structure_comparator.py | exenGT/pymatgen | a8ffb820ab8fc3f60251099e38c8888f45eae618 | [
"MIT"
] | 1 | 2022-03-22T22:08:16.000Z | 2022-03-22T22:08:16.000Z | pymatgen/analysis/molecule_structure_comparator.py | exenGT/pymatgen | a8ffb820ab8fc3f60251099e38c8888f45eae618 | [
"MIT"
] | null | null | null | pymatgen/analysis/molecule_structure_comparator.py | exenGT/pymatgen | a8ffb820ab8fc3f60251099e38c8888f45eae618 | [
"MIT"
] | null | null | null | # Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides classes to comparsion the structures of the two
molecule. As long as the two molecule have the same bond connection tables,
the molecules are deemed to be same. The atom in the two molecule must be
pa... | 28.54485 | 119 | 0.516527 | # Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides classes to comparsion the structures of the two
molecule. As long as the two molecule have the same bond connection tables,
the molecules are deemed to be same. The atom in the two molecule must be
pa... | 0 | 1,009 | 0 | 6,709 | 0 | 0 | 0 | 5 | 92 |
f836aea2e60665ebbee4033654498c2a4b470d74 | 1,858 | py | Python | ThenWhatTree/execute_tree.py | intel/ThenWhatTree | ddcd5af58e55705ba2dd6a824828f3fc48bd68da | [
"BSD-3-Clause"
] | 3 | 2018-05-23T17:15:39.000Z | 2019-03-17T18:44:19.000Z | ThenWhatTree/execute_tree.py | intel/ThenWhatTree | ddcd5af58e55705ba2dd6a824828f3fc48bd68da | [
"BSD-3-Clause"
] | null | null | null | ThenWhatTree/execute_tree.py | intel/ThenWhatTree | ddcd5af58e55705ba2dd6a824828f3fc48bd68da | [
"BSD-3-Clause"
] | 4 | 2019-11-02T01:15:21.000Z | 2021-09-16T11:01:29.000Z | #!/usr/bin/env python3
# Copyright (C) 2018 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
"""Function for evaluating the nodes of a decision tree and extracting out the results from each of the nodes."""
# Import built in modules
import argparse
import sys
import os
# Import 3rd party modules
# Import... | 25.108108 | 113 | 0.703983 | #!/usr/bin/env python3
# Copyright (C) 2018 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause
"""Function for evaluating the nodes of a decision tree and extracting out the results from each of the nodes."""
# Import built in modules
import argparse
import sys
import os
# Import 3rd party modules
# Import... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2773a2b5fb1ba7a66e740bb2804aab93cde6bb13 | 10,125 | py | Python | sfw_torch.py | bwilder0/tb_code_release | e0994116cff1ec0c04e0297f2b558ec5dd53f765 | [
"MIT"
] | null | null | null | sfw_torch.py | bwilder0/tb_code_release | e0994116cff1ec0c04e0297f2b558ec5dd53f765 | [
"MIT"
] | null | null | null | sfw_torch.py | bwilder0/tb_code_release | e0994116cff1ec0c04e0297f2b558ec5dd53f765 | [
"MIT"
] | null | null | null | import torch
def run_sis(T, G, S, I, newI, nu, mu, d, beta, N):
'''
Runs the linearized SIS model, returning the total number of infected agents
summed over all time steps.
'''
#duplicate these variables along an additional axis to match the batch size
nu = torch.diag(1 - nu).expand_as(beta)
... | 37.5 | 169 | 0.618469 | import torch
import numpy as np
def run_sis(T, G, S, I, newI, nu, mu, d, beta, N):
'''
Runs the linearized SIS model, returning the total number of infected agents
summed over all time steps.
'''
#duplicate these variables along an additional axis to match the batch size
nu = torch.diag(1 - nu)... | 0 | 0 | 0 | 599 | 0 | 1,429 | 0 | -3 | 114 |
886d846b1bd5e2c59d450a892dc2cfd09102c8c5 | 3,042 | py | Python | cj_2nd/problem_2/problem2.py | yskang/AlgorithmPracticeWithPython | f7129bd1924a7961489198f0ee052d2cd1e9cf40 | [
"MIT"
] | null | null | null | cj_2nd/problem_2/problem2.py | yskang/AlgorithmPracticeWithPython | f7129bd1924a7961489198f0ee052d2cd1e9cf40 | [
"MIT"
] | 1 | 2019-11-04T06:44:04.000Z | 2019-11-04T06:46:55.000Z | cj_2nd/problem_2/problem2.py | yskang/AlgorithmPractice | 31b76e38b4c2f1e3e29fb029587662a745437912 | [
"MIT"
] | null | null | null | import sys
filename = sys.argv[1]
test_input = open(filename, 'r')
numberOfTest = int(test_input.readline().replace('\n', '').replace('\r', '').strip())
nodesR = []
distanceR = []
nodesC = []
distanceC = []
branchPoint = 0
output = open(filename.replace('in', 'out'), 'w')
for i in range(numberOfTest):
initDat... | 28.698113 | 87 | 0.606838 | import sys
filename = sys.argv[1]
test_input = open(filename, 'r')
numberOfTest = int(test_input.readline().replace('\n', '').replace('\r', '').strip())
nodesR = []
distanceR = []
nodesC = []
distanceC = []
branchPoint = 0
def initData():
nodesR[:] = []
distanceR[:] = []
nodesC[:] = []
distanceC[:]... | 0 | 0 | 0 | 0 | 0 | 1,696 | 0 | 0 | 161 |
ece9c2de7d3783b49ddc26cdb15385cc57ba75f8 | 1,094 | py | Python | LinearRegression/pcr.py | jayshonzs/ESL | 2b51b1e01cb204d17588b7a2a8f765daa0a1e0c5 | [
"MIT"
] | 9 | 2016-09-26T15:56:16.000Z | 2019-10-21T05:59:14.000Z | LinearRegression/pcr.py | jayshonzs/ESL | 2b51b1e01cb204d17588b7a2a8f765daa0a1e0c5 | [
"MIT"
] | null | null | null | LinearRegression/pcr.py | jayshonzs/ESL | 2b51b1e01cb204d17588b7a2a8f765daa0a1e0c5 | [
"MIT"
] | 3 | 2016-08-15T00:18:22.000Z | 2019-02-28T14:54:55.000Z | '''
Created on 2014-5-25
@author: xiajie
'''
import numpy as np
import prostate
import preprocess
if __name__ == '__main__':
inputs, output, Ttype = prostate.loaddata()
train_data, train_out, test_data, test_out = prostate.cookdata2(inputs, output, Ttype)
X, X_mean, Y_mean, X_std = preprocess.center_data(... | 26.682927 | 90 | 0.617002 | '''
Created on 2014-5-25
@author: xiajie
'''
import numpy as np
import prostate
import preprocess
def theta(z, y):
return np.transpose(z).dot(y)/np.transpose(z).dot(z)
def PCR(X,Y,m=7):
z = []
thetas = []
beta = np.zeros(len(X[0]))
U, S, V = np.linalg.svd(X, full_matrices=True)
for i in range... | 0 | 0 | 0 | 0 | 0 | 400 | 0 | 0 | 69 |
46fd6c109844df9a60a301cc1c15e3eb17f850a2 | 11,188 | py | Python | tests/unit/profiles/test_views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | tests/unit/profiles/test_views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | tests/unit/profiles/test_views.py | etienne86/oc_p13_team_spirit | fd3d45618d349ecd0a03e63c4a7e9c1044eeffaa | [
"MIT"
] | null | null | null | """Contain the unit tests related to the views in app ``profiles``."""
| 36.442997 | 79 | 0.611459 | """Contain the unit tests related to the views in app ``profiles``."""
from django.http.request import HttpRequest
from django.test import TestCase
from teamspirit.core.models import Address
from teamspirit.profiles.models import Personal
from teamspirit.profiles.views import (
add_id_file_view,
add_medical_f... | 34 | 0 | 0 | 10,532 | 0 | 0 | 0 | 410 | 157 |
6ad8ac63ac2ca2e4e626cb985983826a1b89907e | 10,317 | py | Python | bin/vrc_ssh.py | osrf/cloudsim-legacy | 01ea7dd2708ed9797a860ac839028ec62fd96a23 | [
"Apache-2.0"
] | null | null | null | bin/vrc_ssh.py | osrf/cloudsim-legacy | 01ea7dd2708ed9797a860ac839028ec62fd96a23 | [
"Apache-2.0"
] | null | null | null | bin/vrc_ssh.py | osrf/cloudsim-legacy | 01ea7dd2708ed9797a860ac839028ec62fd96a23 | [
"Apache-2.0"
] | 1 | 2021-03-16T15:00:51.000Z | 2021-03-16T15:00:51.000Z | #!/usr/bin/env python
"""
Program that runs a script or copy a file into a set of machines.
"""
import argparse
import os
import sys
from threading import Thread
import abc
import subprocess
import getpass
import Queue
NORMAL = '\033[00m'
RED = '\033[0;31m'
CLOUDSIM_PREFIX = 'OSRF_CloudSim_'
CONST_PREFIX = 'OSRF_VRC... | 34.275748 | 85 | 0.583794 | #!/usr/bin/env python
"""
Program that runs a script or copy a file into a set of machines.
"""
import argparse
import os
import sys
from threading import Thread
import abc
import subprocess
import getpass
import Queue
NORMAL = '\033[00m'
RED = '\033[0;31m'
CLOUDSIM_PREFIX = 'OSRF_CloudSim_'
CONST_PREFIX = 'OSRF_VRC... | 0 | 0 | 0 | 4,722 | 0 | 0 | 0 | 0 | 92 |
d4cd314bd47d95820381415300f80a6c264fbc93 | 10,264 | py | Python | sandbox/finetuning/algos/concurrent_continuous_ppo.py | andrewli77/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 23 | 2020-04-27T23:53:44.000Z | 2022-03-10T03:13:16.000Z | sandbox/finetuning/algos/concurrent_continuous_ppo.py | WeiChengTseng/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 1 | 2021-11-14T13:30:22.000Z | 2021-11-14T13:30:22.000Z | sandbox/finetuning/algos/concurrent_continuous_ppo.py | WeiChengTseng/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 8 | 2020-06-17T03:28:34.000Z | 2022-03-09T03:13:03.000Z | import rllab.misc.logger as logger
| 48.87619 | 118 | 0.667771 | import theano
import theano.tensor as TT
from rllab.misc import ext
import numpy as np
import copy
import rllab.misc.logger as logger
from rllab.spaces.box import Box
from rllab.envs.env_spec import EnvSpec
from sandbox.finetuning.policies.concurrent_hier_policy2 import HierarchicalPolicy
from sandbox.finetuning.algos.... | 0 | 0 | 0 | 9,459 | 0 | 0 | 0 | 389 | 380 |
db8d1e3d87eeb6f3a0f5a5bfe9414cd167fe9148 | 1,064 | py | Python | test/perspective.py | cburggie/py3D | d0fe21aae1d5ab77ec80f85533e941c902dad6f4 | [
"MIT"
] | null | null | null | test/perspective.py | cburggie/py3D | d0fe21aae1d5ab77ec80f85533e941c902dad6f4 | [
"MIT"
] | null | null | null | test/perspective.py | cburggie/py3D | d0fe21aae1d5ab77ec80f85533e941c902dad6f4 | [
"MIT"
] | null | null | null | import pytrace
import py3D
filename = 'perspective.png'
ppu = 400
passes = 16
S = py3D.Sphere
C = py3D.Color
V = py3D.Vector
cam = pytrace.Camera(V(0.0,10.0,0.0), V(0.0,0.0,0.0), 2.0, 2.0, V(0.0,0.0,1.0))
cam.set_ppu(ppu)
center = S(V(0.0,0.0,0.0), 1.0, C(0.99,0.99,0.99)).set_reflectivity(0.8)
bodies = []
bodies... | 30.4 | 79 | 0.596805 | import pytrace
import py3D
filename = 'perspective.png'
ppu = 400
passes = 16
S = py3D.Sphere
C = py3D.Color
V = py3D.Vector
cam = pytrace.Camera(V(0.0,10.0,0.0), V(0.0,0.0,0.0), 2.0, 2.0, V(0.0,0.0,1.0))
cam.set_ppu(ppu)
center = S(V(0.0,0.0,0.0), 1.0, C(0.99,0.99,0.99)).set_reflectivity(0.8)
bodies = []
bodies... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |