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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
954c18bf90f46d31eb20671c5a0147392c86f4dc | 551 | py | Python | polyaxon/rl/stats.py | chandu088/p | 878456367105924accc5b235263b0bb209d877c8 | [
"MIT"
] | 7 | 2018-03-05T08:01:45.000Z | 2021-03-12T09:00:11.000Z | polyaxon/rl/stats.py | chandu088/p | 878456367105924accc5b235263b0bb209d877c8 | [
"MIT"
] | 23 | 2017-07-10T16:52:25.000Z | 2018-01-01T15:17:32.000Z | polyaxon/rl/stats.py | chandu088/p | 878456367105924accc5b235263b0bb209d877c8 | [
"MIT"
] | 4 | 2018-01-25T14:08:49.000Z | 2021-12-03T07:11:29.000Z | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
| 21.192308 | 64 | 0.618875 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import numpy as np
class Stats(object):
"""A class to collect episode rewards statistics"""
def __init__(self):
self.rewards = []
self.max_reward = 0
self.avg_reward = 0
self.total_reward ... | 0 | 0 | 0 | 418 | 0 | 0 | 0 | -3 | 46 |
26dcfc4b8ffe1021000bf8510fb228c1e8d519f9 | 5,275 | py | Python | scripts/ggr/ggr_summarize_motifs.py | kundajelab/tronn | 59654a958f6debb5be150e383e96997f1982359d | [
"MIT"
] | 5 | 2020-10-18T21:17:44.000Z | 2021-11-30T06:25:09.000Z | scripts/ggr/ggr_summarize_motifs.py | kundajelab/tronn | 59654a958f6debb5be150e383e96997f1982359d | [
"MIT"
] | 1 | 2021-11-18T13:03:48.000Z | 2021-11-18T13:03:48.000Z | scripts/ggr/ggr_summarize_motifs.py | kundajelab/tronn | 59654a958f6debb5be150e383e96997f1982359d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import h5py
import argparse
import pandas as pd
import numpy as np
from tronn.util.scripts import setup_run_logs
BLACKLIST_MOTIFS = [
"SMARC",
"NANOG"]
def get_blacklist_indices(df):
"""search for blacklist substrings and return a list of indices
"""
... | 32.763975 | 137 | 0.639621 | #!/usr/bin/env python
import os
import sys
import h5py
import argparse
import pandas as pd
import numpy as np
from tronn.util.scripts import setup_run_logs
BLACKLIST_MOTIFS = [
"SMARC",
"NANOG"]
def get_blacklist_indices(df):
"""search for blacklist substrings and return a list of indices
"""
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bcae6fc74a60731a753d23ca11a65e5b5b9cdb07 | 3,135 | py | Python | hub-mirror/hubmirror.py | 01xz/hub-mirror-action | b0a4b793e606e2b88fd418fe9eab73bb0755493f | [
"MIT"
] | null | null | null | hub-mirror/hubmirror.py | 01xz/hub-mirror-action | b0a4b793e606e2b88fd418fe9eab73bb0755493f | [
"MIT"
] | null | null | null | hub-mirror/hubmirror.py | 01xz/hub-mirror-action | b0a4b793e606e2b88fd418fe9eab73bb0755493f | [
"MIT"
] | 1 | 2021-07-19T06:07:01.000Z | 2021-07-19T06:07:01.000Z |
if __name__ == '__main__':
mirror = HubMirror()
mirror.run()
| 32.319588 | 77 | 0.527273 | import argparse
import sys
import yaml
from utils import str2bool, str2list
from hub import Hub
from mirror import Mirror
class HubMirror(object):
def __init__(self):
self.parser = self._create_parser()
self.args = self.parser.parse_args()
self.white_list = str2list(self.args.white_list)
... | 0 | 0 | 0 | 2,917 | 0 | 0 | 0 | -10 | 156 |
377d80112bc4c04755df98fa42f35c0ec78283f2 | 20,726 | py | Python | ci/tsqa/tests/test_keepalive.py | garfieldonly/ats_git | 940ff5c56bebabb96130a55c2a17212c5c518138 | [
"Apache-2.0"
] | 1 | 2022-01-19T14:34:34.000Z | 2022-01-19T14:34:34.000Z | ci/tsqa/tests/test_keepalive.py | mingzym/trafficserver | a01c3a357b4ff9193f2e2a8aee48e3751ef2177a | [
"Apache-2.0"
] | 4 | 2021-06-21T15:06:11.000Z | 2021-06-21T15:06:14.000Z | ci/tsqa/tests/test_keepalive.py | maskit/trafficserver | 3ffa19873f7cd7ced2fbdfed5a0ac8ddbbe70a68 | [
"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... | 42.822314 | 138 | 0.643298 | # 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... | 0 | 8,878 | 0 | 10,424 | 0 | 0 | 0 | -44 | 432 |
5b38f29bcdb7e4e840abfcedbbbdda71ec4c5e74 | 909 | py | Python | 01-introduction/xx-project/Task2.py | sconde/data-structure-and-algorithms-nanodegree | 9abbbee520570f5dca620d3af7af2f875645177d | [
"MIT"
] | null | null | null | 01-introduction/xx-project/Task2.py | sconde/data-structure-and-algorithms-nanodegree | 9abbbee520570f5dca620d3af7af2f875645177d | [
"MIT"
] | null | null | null | 01-introduction/xx-project/Task2.py | sconde/data-structure-and-algorithms-nanodegree | 9abbbee520570f5dca620d3af7af2f875645177d | [
"MIT"
] | null | null | null | """
Read file into texts and calls.
It's ok if you don't understand how to read files
"""
import csv
with open('texts.csv', 'r') as f:
texts = list(csv.reader(f))
with open('calls.csv', 'r') as f:
calls = list(csv.reader(f))
"""
TASK 2: Which telephone number spent the longest time on the phone
during the p... | 27.545455 | 110 | 0.70297 | """
Read file into texts and calls.
It's ok if you don't understand how to read files
"""
import csv
with open('texts.csv', 'r') as f:
texts = list(csv.reader(f))
with open('calls.csv', 'r') as f:
calls = list(csv.reader(f))
"""
TASK 2: Which telephone number spent the longest time on the phone
during the p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 45 |
fce40e5f6e3d382f8be4b471e025280decc684c7 | 2,730 | py | Python | source/gui/startinventory/overview.py | zig-for/ALttPDoorRandomizer | 0cac07bcd63cafb62cf1e9d570d3edf52ae64fc1 | [
"MIT"
] | 42 | 2019-08-22T16:19:51.000Z | 2022-03-30T17:39:39.000Z | source/gui/startinventory/overview.py | zig-for/ALttPDoorRandomizer | 0cac07bcd63cafb62cf1e9d570d3edf52ae64fc1 | [
"MIT"
] | 48 | 2019-09-04T22:47:03.000Z | 2022-01-13T22:16:13.000Z | source/gui/startinventory/overview.py | zig-for/ALttPDoorRandomizer | 0cac07bcd63cafb62cf1e9d570d3edf52ae64fc1 | [
"MIT"
] | 35 | 2020-01-10T09:12:53.000Z | 2022-03-23T08:22:25.000Z | import source.gui.widgets as widgets
| 38.450704 | 103 | 0.665934 | from tkinter import ttk, Frame, N, E, W, LEFT, X, VERTICAL, Y
import source.gui.widgets as widgets
import json
import os
import source.classes.constants as CONST
def startinventory_page(top,parent):
# Starting Inventory
self = ttk.Frame(parent)
# Create uniform list columns
def create_list_frame(pare... | 0 | 0 | 0 | 0 | 0 | 2,544 | 0 | 37 | 112 |
0165d35807b96648755400877a88c8bd4f9ab864 | 1,078 | py | Python | test.py | kuco23/Sigma-Irregularity | e378ab10271fcc4a2a3f5f3a6dd121eabedddef5 | [
"MIT"
] | null | null | null | test.py | kuco23/Sigma-Irregularity | e378ab10271fcc4a2a3f5f3a6dd121eabedddef5 | [
"MIT"
] | null | null | null | test.py | kuco23/Sigma-Irregularity | e378ab10271fcc4a2a3f5f3a6dd121eabedddef5 | [
"MIT"
] | null | null | null |
from lib import (maxSigmaRatio_annealing, localBasicNeighbor, globalTwoPartNeighbor, simplePlot)
nsim_global, nsim_local = 400, 100
nrange = range(25, 60, 5)
sigma_growth = []
for i in nrange:
ropt, gopt = 0, None
for _ in range(100):
startedges = i * (i - 1) // 2
g, rg = maxSigmaRatio_anneal... | 24.5 | 58 | 0.636364 | from pathlib import Path
import matplotlib.pyplot as plt
from lib import (
sigma, sigma_t, sigmaRatio, sigmaArgmax,
powerAproximation, degreeContinuoutyIndex,
randomConnectedEdges,
randomConnectedGraph,
randomTree,
randomSigmaOptAprox,
maxSigmaRatio_annealing,
localBasicNeigh... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 337 | 44 |
d3047cc640a699da58f363c103275ba6da05fe10 | 9,110 | py | Python | VREP SIM/2ndUpdate.py | ewlo2/ECE-470 | 02742f1fde12a933cb4cbe09435cca8e6554a297 | [
"CNRI-Python"
] | null | null | null | VREP SIM/2ndUpdate.py | ewlo2/ECE-470 | 02742f1fde12a933cb4cbe09435cca8e6554a297 | [
"CNRI-Python"
] | null | null | null | VREP SIM/2ndUpdate.py | ewlo2/ECE-470 | 02742f1fde12a933cb4cbe09435cca8e6554a297 | [
"CNRI-Python"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 22 12:58:36 2020
@author: Edmund Lo
"""
try:
import sim
except:
print ('--------------------------------------------------------------')
print ('"sim.py" could not be imported. This means very probably that')
print ('either "sim.py" ... | 30.366667 | 134 | 0.609221 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 22 12:58:36 2020
@author: Edmund Lo
"""
try:
import sim
except:
print ('--------------------------------------------------------------')
print ('"sim.py" could not be imported. This means very probably that')
print ('either "sim.py" ... | 0 | 0 | 0 | 0 | 0 | 3,295 | 0 | 16 | 331 |
7d71bab19fde8b16698b35e0366b9b755edf8ef8 | 2,561 | py | Python | src/bayesian_combination/ibcc.py | lmluzern/arxiv2018-bayesian-ensembles | a426e6f085bd042e646ede84dd1df7c08b585e97 | [
"Apache-2.0"
] | null | null | null | src/bayesian_combination/ibcc.py | lmluzern/arxiv2018-bayesian-ensembles | a426e6f085bd042e646ede84dd1df7c08b585e97 | [
"Apache-2.0"
] | null | null | null | src/bayesian_combination/ibcc.py | lmluzern/arxiv2018-bayesian-ensembles | a426e6f085bd042e646ede84dd1df7c08b585e97 | [
"Apache-2.0"
] | null | null | null | '''
Wrapper classes to implement independent Bayesian classifier combination (IBCC-VB)
using the Bayesian combination framework, along with variants of that model.
'''
| 54.489362 | 124 | 0.645451 | '''
Wrapper classes to implement independent Bayesian classifier combination (IBCC-VB)
using the Bayesian combination framework, along with variants of that model.
'''
from bayesian_combination.bayesian_combination import BC
class IBCC(BC):
def __init__(self, L=3, K=5, max_iter=20, eps=1e-4,
... | 0 | 0 | 0 | 2,243 | 0 | 0 | 0 | 35 | 114 |
43c54ae308c3cc54f8833484d363f50db0f01e06 | 1,558 | py | Python | shelvecache.py | lbellomo/shelvecache | c84c70d9ce6ccac6a05fdd25ff23a52a66aafee7 | [
"MIT"
] | null | null | null | shelvecache.py | lbellomo/shelvecache | c84c70d9ce6ccac6a05fdd25ff23a52a66aafee7 | [
"MIT"
] | null | null | null | shelvecache.py | lbellomo/shelvecache | c84c70d9ce6ccac6a05fdd25ff23a52a66aafee7 | [
"MIT"
] | null | null | null | import json
def dump_args(args: tuple, kwargs: dict) -> str:
"""Util to make hashable function arguments."""
return json.dumps(args) + json.dumps(kwargs, sort_keys=True)
def shelvecache(shelvename="cache"):
"""
Decorator to wrap a function or corroutine with a memoizing callable (like functools.lru_... | 27.333333 | 113 | 0.535302 | import json
import shelve
from functools import wraps
from asyncio import iscoroutinefunction
def dump_args(args: tuple, kwargs: dict) -> str:
"""Util to make hashable function arguments."""
return json.dumps(args) + json.dumps(kwargs, sort_keys=True)
def shelvecache(shelvename="cache"):
"""
Decorat... | 0 | 672 | 0 | 0 | 0 | 238 | 0 | 16 | 93 |
d41d5dccbe1561c62b3194b0a769f760d11b96d0 | 4,609 | py | Python | 2021/2021_16b.py | davidxiao93/Advent-of-Code | 29503100ae4eb46b048fc3ab68ff0181c6f00ee5 | [
"MIT"
] | null | null | null | 2021/2021_16b.py | davidxiao93/Advent-of-Code | 29503100ae4eb46b048fc3ab68ff0181c6f00ee5 | [
"MIT"
] | null | null | null | 2021/2021_16b.py | davidxiao93/Advent-of-Code | 29503100ae4eb46b048fc3ab68ff0181c6f00ee5 | [
"MIT"
] | null | null | null |
input = """420D598021E0084A07C98EC91DCAE0B880287912A925799429825980593D7DCD400820329480BF21003CC0086028910097520230C80813401D8CC00F601881805705003CC00E200E98400F50031801D160048E5AFEFD5E5C02B93F2F4C11CADBBB799CB294C5FDB8E12C40139B7C98AFA8B2600DCBAF4D3A4C27CB54EA6F5390B1004B93E2F40097CA2ECF70C1001F296EF9A647F5BFC48C012C... | 45.186275 | 1,360 | 0.707529 | from typing import Tuple, List
input = """420D598021E0084A07C98EC91DCAE0B880287912A925799429825980593D7DCD400820329480BF21003CC0086028910097520230C80813401D8CC00F601881805705003CC00E200E98400F50031801D160048E5AFEFD5E5C02B93F2F4C11CADBBB799CB294C5FDB8E12C40139B7C98AFA8B2600DCBAF4D3A4C27CB54EA6F5390B1004B93E2F40097CA2EC... | 0 | 0 | 0 | 1,392 | 0 | 1,610 | 0 | 9 | 114 |
a515b814b2b1698672f1d1f7ccae0308b5bbe332 | 2,031 | py | Python | logist/exporter.py | nabeen/logist | 452cc04756070de72a72f40797697b3812cb5f32 | [
"MIT"
] | null | null | null | logist/exporter.py | nabeen/logist | 452cc04756070de72a72f40797697b3812cb5f32 | [
"MIT"
] | null | null | null | logist/exporter.py | nabeen/logist | 452cc04756070de72a72f40797697b3812cb5f32 | [
"MIT"
] | null | null | null | import logist.setting as setting
import logist.libs.backlog_issues as backlog_issues
import logist.libs.todoist_tasks as todoist_tasks
| 31.246154 | 86 | 0.612014 | import configparser
import click
import logist.setting as setting
import logist.libs.backlog_issues as backlog_issues
import logist.libs.todoist_tasks as todoist_tasks
from PyInquirer import style_from_dict, Token, prompt, Separator
def main():
# read config before process
try:
backlog_host = setting.... | 3 | 0 | 0 | 0 | 0 | 1,749 | 0 | 32 | 112 |
1ff4b5ee7a0cfce50cffe20d0f0eaf4bf217f532 | 1,463 | py | Python | terrain_relative_navigation/terrain_relative_navigation.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | terrain_relative_navigation/terrain_relative_navigation.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | terrain_relative_navigation/terrain_relative_navigation.py | rschwa6308/Landmark-Based-TRN | 5d712221138ec6250ed5bd19caed49810f17014e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
TerrainRelativeNavigation
A QGIS plugin
This plugin analyzes terrain for the purpose of automatic bearing-based robotic navigation
------------------... | 29.857143 | 91 | 0.585099 | # -*- coding: utf-8 -*-
"""
/***************************************************************************
TerrainRelativeNavigation
A QGIS plugin
This plugin analyzes terrain for the purpose of automatic bearing-based robotic navigation
------------------... | 0 | 0 | 0 | 448 | 0 | 0 | 0 | 101 | 68 |
cc3fff40afa31c69c408df55f38f2b3898171ca2 | 7,013 | py | Python | Generate_Synthetic_Data/generate_synthetic_data_S2.py | saeedmhz/Sarc-Graph | 2746b2a88543487c0a501992c0cb6f342b16420e | [
"MIT"
] | 1 | 2021-08-07T18:37:19.000Z | 2021-08-07T18:37:19.000Z | Generate_Synthetic_Data/generate_synthetic_data_S2.py | saeedmhz/Sarc-Graph | 2746b2a88543487c0a501992c0cb6f342b16420e | [
"MIT"
] | null | null | null | Generate_Synthetic_Data/generate_synthetic_data_S2.py | saeedmhz/Sarc-Graph | 2746b2a88543487c0a501992c0cb6f342b16420e | [
"MIT"
] | 1 | 2021-09-22T06:27:49.000Z | 2021-09-22T06:27:49.000Z | import numpy as np
import geom_fcns as geo
import render_fcns as ren
import os
##########################################################################################
# investigation #2 -- elliptical shape with crossed strips in the center
##########################################################################... | 46.753333 | 166 | 0.552403 | import numpy as np
import matplotlib.pyplot as plt
import geom_fcns as geo
import render_fcns as ren
import os
import sys
##########################################################################################
# investigation #2 -- elliptical shape with crossed strips in the center
###############################... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 44 |
12c116121c9025b182cb5b802538a9e7514ce491 | 14,434 | py | Python | conversion.py | jimevans/infield-fly | f2f2ccff16373f27b4fd9fa786f415db1cebc321 | [
"MIT"
] | 1 | 2021-07-25T22:25:31.000Z | 2021-07-25T22:25:31.000Z | conversion.py | jimevans/infield-fly | f2f2ccff16373f27b4fd9fa786f415db1cebc321 | [
"MIT"
] | null | null | null | conversion.py | jimevans/infield-fly | f2f2ccff16373f27b4fd9fa786f415db1cebc321 | [
"MIT"
] | null | null | null | """Module for converting files into correct format"""
| 39.763085 | 99 | 0.607316 | """Module for converting files into correct format"""
import json
import logging
import os
import platform
import re
import subprocess
class Converter:
"""Converts files into the correct format"""
def __init__(self, input_file, output_file, ffmpeg_location=None, is_unattended_mode=False):
super()._... | 0 | 2,970 | 0 | 11,256 | 0 | 0 | 0 | -51 | 202 |
6f2de6790116bc6ef41091db2832890bbce2457a | 2,623 | py | Python | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | eunite/eunite_data.py | jiasudemotuohe/deep_learning | 44eb14d91b6b9ca2092361918a1bcaa73786f78e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020-04-11 12:34
# @Author : speeding_moto
import numpy as np
import pandas as pd
EUNITE_PATH = "dataset/eunite.xlsx"
PARSE_TABLE_NAME = "mainData"
def load_eunite_data():
"""
return the generated load data, include all the features wo handle
"""
data = open_f... | 22.808696 | 91 | 0.661456 | # -*- coding: utf-8 -*-
# @Time : 2020-04-11 12:34
# @Author : speeding_moto
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
EUNITE_PATH = "dataset/eunite.xlsx"
PARSE_TABLE_NAME = "mainData"
def load_eunite_data():
"""
return the generated load data, include all the features... | 0 | 0 | 0 | 0 | 0 | 665 | 0 | 15 | 91 |
7889ea5ff6975e36693b763b8d8f625163f66ba0 | 271 | py | Python | codeforces/cdf283_2a.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | 1 | 2018-11-12T15:18:55.000Z | 2018-11-12T15:18:55.000Z | codeforces/cdf283_2a.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | null | null | null | codeforces/cdf283_2a.py | knuu/competitive-programming | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | [
"MIT"
] | null | null | null | n = map(int, input().split())
l = list(map(int, input().split()))
ans = 1000
for i in range(1,len(l)-1):
li = l[:]
li.remove(l[i])
m = 0
for j in range(len(li)-1):
m = max(li[j+1] - li[j], m)
ans = min(m, ans)
print(ans)
| 18.066667 | 35 | 0.457565 | n = map(int, input().split())
l = list(map(int, input().split()))
ans = 1000
for i in range(1,len(l)-1):
li = l[:]
li.remove(l[i])
m = 0
for j in range(len(li)-1):
m = max(li[j+1] - li[j], m)
ans = min(m, ans)
print(ans)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a2d0cc22be48982bfc16b5ccc9a0772925cfccc | 12,245 | py | Python | exp_tools/EyeLinkCoreGraphicsPyglet.py | StevenM1/flashtask | 22e88b386f934972fc9a208b3bbb231d53c21628 | [
"MIT"
] | null | null | null | exp_tools/EyeLinkCoreGraphicsPyglet.py | StevenM1/flashtask | 22e88b386f934972fc9a208b3bbb231d53c21628 | [
"MIT"
] | null | null | null | exp_tools/EyeLinkCoreGraphicsPyglet.py | StevenM1/flashtask | 22e88b386f934972fc9a208b3bbb231d53c21628 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Copyright (c) 1996-2011, SR Research Ltd., All Rights Reserved
#
#
# For use by SR Research licencees only. Redistribution and use in source
# and binary forms, with or without modification, are NOT permitted.
#
#
#
# Redistributions in binary form must reproduce the above copyright
# notice, ... | 28.543124 | 133 | 0.645488 | #!/usr/bin/env python
#
# Copyright (c) 1996-2011, SR Research Ltd., All Rights Reserved
#
#
# For use by SR Research licencees only. Redistribution and use in source
# and binary forms, with or without modification, are NOT permitted.
#
#
#
# Redistributions in binary form must reproduce the above copyright
# notice, ... | 0 | 0 | 0 | 10,671 | 0 | 0 | 0 | -52 | 180 |
6d3683a0fc5137bc5a58f8290b4f4fd401e38e06 | 1,546 | py | Python | sort_and_search/kth_largest_num_quick_select_algo.py | mantoshkumar1/interview_preparation | c7e5b6692ad6772b38de8be029bddf0e273e0bce | [
"MIT"
] | 1 | 2020-05-28T19:14:56.000Z | 2020-05-28T19:14:56.000Z | sort_and_search/kth_largest_num_quick_select_algo.py | mantoshkumar1/interview_preparation | c7e5b6692ad6772b38de8be029bddf0e273e0bce | [
"MIT"
] | null | null | null | sort_and_search/kth_largest_num_quick_select_algo.py | mantoshkumar1/interview_preparation | c7e5b6692ad6772b38de8be029bddf0e273e0bce | [
"MIT"
] | null | null | null | """
Kth Largest Element in an Array:
Find the kth largest element in an unsorted array. Note that it is the kth largest element in
the sorted order, not the kth distinct element.
Example 1:
Input: [3,2,1,5,6,4] and k = 2
Output: 5
Example 2:
Input: [3,2,3,1,2,4,5,5,6] and k = 4
Output: 4
Note:
You may assume k is a... | 24.15625 | 93 | 0.512937 | """
Kth Largest Element in an Array:
Find the kth largest element in an unsorted array. Note that it is the kth largest element in
the sorted order, not the kth distinct element.
Example 1:
Input: [3,2,1,5,6,4] and k = 2
Output: 5
Example 2:
Input: [3,2,3,1,2,4,5,5,6] and k = 4
Output: 4
Note:
You may assume k is a... | 6 | 0 | 0 | 933 | 0 | 0 | 0 | 0 | 22 |
cd25372fe0a419d205564d8506edeff386bc9d69 | 105 | py | Python | Tropes/core.py | Direwolf82/Data-Science-Projects | 4919bad603f8c95d4e3160dd1f9d144284354131 | [
"Apache-2.0"
] | null | null | null | Tropes/core.py | Direwolf82/Data-Science-Projects | 4919bad603f8c95d4e3160dd1f9d144284354131 | [
"Apache-2.0"
] | null | null | null | Tropes/core.py | Direwolf82/Data-Science-Projects | 4919bad603f8c95d4e3160dd1f9d144284354131 | [
"Apache-2.0"
] | null | null | null | import requests
page = requests.get("http://dataquestio.github.io/web-scraping-pages/simple.html")
page
| 21 | 82 | 0.780952 | import requests
page = requests.get("http://dataquestio.github.io/web-scraping-pages/simple.html")
page
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
202bb2055334eb93cb052b4dc82e3785e40369bf | 782 | py | Python | loop.py | rohanbanerjee/ComputerVision101 | ce4546d23e7d9a2f8cdbe0f31b1d0e25ba755112 | [
"MIT"
] | null | null | null | loop.py | rohanbanerjee/ComputerVision101 | ce4546d23e7d9a2f8cdbe0f31b1d0e25ba755112 | [
"MIT"
] | null | null | null | loop.py | rohanbanerjee/ComputerVision101 | ce4546d23e7d9a2f8cdbe0f31b1d0e25ba755112 | [
"MIT"
] | null | null | null | import cv2
from imutils.paths import list_images
import numpy as np
from skimage import exposure as ex
for imagePath in list_images("/Users/rohanbanerjee/Documents/SukShi19/dhe"):
img = cv2.imread(imagePath)
print(imagePath)
# img = cv2.resize(image, (25, 25))
# img = cv2.imread('6.jpg')
if(len(i... | 24.4375 | 76 | 0.643223 | import imutils
import cv2
from imutils.paths import list_images
import numpy as np
import matplotlib.pyplot as plt
from skimage import exposure as ex
import imageio
import sys
for imagePath in list_images("/Users/rohanbanerjee/Documents/SukShi19/dhe"):
img = cv2.imread(imagePath)
print(imagePath)
# img = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -15 | 88 |
b890eccccec97cdbe81bf8ea49e98c0fece73fc2 | 56,344 | py | Python | src/ecpy/curves.py | Moustikitos/ECPy | ecd42872ddb5a8422b8bda54b88114fc7f78d6bf | [
"Apache-2.0"
] | 1 | 2019-08-12T21:25:01.000Z | 2019-08-12T21:25:01.000Z | src/ecpy/curves.py | Moustikitos/ECPy | ecd42872ddb5a8422b8bda54b88114fc7f78d6bf | [
"Apache-2.0"
] | null | null | null | src/ecpy/curves.py | Moustikitos/ECPy | ecd42872ddb5a8422b8bda54b88114fc7f78d6bf | [
"Apache-2.0"
] | null | null | null | # encoding: UTF-8
# Copyright 2016-2017 Cedric Mesnil <cedric.mesnil@ubinity.com>, Ubinity SAS
#
# 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-... | 36.682292 | 158 | 0.57708 | # encoding: UTF-8
# Copyright 2016-2017 Cedric Mesnil <cedric.mesnil@ubinity.com>, Ubinity SAS
#
# 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-... | 36 | 3,972 | 0 | 20,234 | 0 | 0 | 0 | -4 | 170 |
9de660f7ddbef64ada7dffc64558b25a94560929 | 1,027 | py | Python | recipes/Python/576888_format_a_number_as_an_ordinal/recipe-576888.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/576888_format_a_number_as_an_ordinal/recipe-576888.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/576888_format_a_number_as_an_ordinal/recipe-576888.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | #!/usr/bin/env python
def ordinal(value):
"""
Converts zero or a *postive* integer (or their string
representations) to an ordinal value.
>>> for i in range(1,13):
... ordinal(i)
...
u'1st'
u'2nd'
u'3rd'
u'4th'
u'5th'
u'6th'
u'7th'
u'8th'
u'9th'
... | 18.672727 | 58 | 0.450828 | #!/usr/bin/env python
def ordinal(value):
"""
Converts zero or a *postive* integer (or their string
representations) to an ordinal value.
>>> for i in range(1,13):
... ordinal(i)
...
u'1st'
u'2nd'
u'3rd'
u'4th'
u'5th'
u'6th'
u'7th'
u'8th'
u'9th'
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0773f702318f5f9b65c149ba69217853e9c5e3f7 | 7,123 | py | Python | projects/baby_driver/scripts/can_util.py | Fionon/firmware_xiv | 550835d1d903e849e9c42d865bd668c073a327a7 | [
"MIT"
] | null | null | null | projects/baby_driver/scripts/can_util.py | Fionon/firmware_xiv | 550835d1d903e849e9c42d865bd668c073a327a7 | [
"MIT"
] | null | null | null | projects/baby_driver/scripts/can_util.py | Fionon/firmware_xiv | 550835d1d903e849e9c42d865bd668c073a327a7 | [
"MIT"
] | 1 | 2020-10-23T16:25:24.000Z | 2020-10-23T16:25:24.000Z | """This module implements a low-level wrapper over Python-CAN's CAN API specific to Babydriver."""
import time
import can
from message_defs import BABYDRIVER_DEVICE_ID, BABYDRIVER_CAN_MESSAGE_ID
# The default CAN channel to use for this module. Changed dynamically by cli_setup.
default_channel = "can0" # pylint: di... | 32.976852 | 100 | 0.636951 | """This module implements a low-level wrapper over Python-CAN's CAN API specific to Babydriver."""
import time
import can
from message_defs import BABYDRIVER_DEVICE_ID, BABYDRIVER_CAN_MESSAGE_ID
# The default CAN channel to use for this module. Changed dynamically by cli_setup.
default_channel = "can0" # pylint: di... | 0 | 541 | 0 | 1,120 | 0 | 0 | 0 | 0 | 23 |
4e10b841514ed3aad3dd8fd092918b5e69b327ce | 3,418 | py | Python | get_stats.py | laurenwatson/lematus | 01d28213b74daeee5e7e58f57580f036febb5283 | [
"BSD-3-Clause"
] | null | null | null | get_stats.py | laurenwatson/lematus | 01d28213b74daeee5e7e58f57580f036febb5283 | [
"BSD-3-Clause"
] | null | null | null | get_stats.py | laurenwatson/lematus | 01d28213b74daeee5e7e58f57580f036febb5283 | [
"BSD-3-Clause"
] | null | null | null | #Author: Toms Bergmanis toms.bergmanis@gmail.com
#Usage example python3 get_stats.py 20-char-context-v1 test Latvian
import sys
from collections import defaultdict
model_name = sys.argv[1]
data_set = sys.argv[2] # either dev or test
for lang in sys.argv[3:]:
model=lang + "-" + model_name
train_inflections =... | 41.180723 | 115 | 0.550614 | #Author: Toms Bergmanis toms.bergmanis@gmail.com
#Usage example python3 get_stats.py 20-char-context-v1 test Latvian
import sys
from collections import defaultdict
model_name = sys.argv[1]
data_set = sys.argv[2] # either dev or test
for lang in sys.argv[3:]:
model=lang + "-" + model_name
train_inflections =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a0fafc461cc30b4f0af14cc9a054dd448047800 | 828 | py | Python | themissc/Fields/RebuildDataIndex.py | mattkjames7/themissc | 1e7257d60da1069fffc7fed848ddcf5c780e9250 | [
"MIT"
] | null | null | null | themissc/Fields/RebuildDataIndex.py | mattkjames7/themissc | 1e7257d60da1069fffc7fed848ddcf5c780e9250 | [
"MIT"
] | null | null | null | themissc/Fields/RebuildDataIndex.py | mattkjames7/themissc | 1e7257d60da1069fffc7fed848ddcf5c780e9250 | [
"MIT"
] | null | null | null | from ..Tools.Downloading._RebuildDataIndex import _RebuildDataIndex
from . import _Fields
def RebuildDataIndex(sc,Prod,L):
'''
Rebuilds the data index for a data product.
Inputs
======
sc : str
'a'|'b'|'c'|'d'|'e'
Prod: str
Product string (see below)
L : str or int
Level of data to download (0,1,2)
... | 18.818182 | 73 | 0.623188 | import numpy as np
from ..Tools.Downloading._RebuildDataIndex import _RebuildDataIndex
from . import _Fields
def RebuildDataIndex(sc,Prod,L):
'''
Rebuilds the data index for a data product.
Inputs
======
sc : str
'a'|'b'|'c'|'d'|'e'
Prod: str
Product string (see below)
L : str or int
Level of data to do... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
5208ca6ce2470db8647e0343bdd1dd992f218821 | 3,786 | py | Python | backend/tracim_backend/views/core_api/session_controller.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | backend/tracim_backend/views/core_api/session_controller.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | backend/tracim_backend/views/core_api/session_controller.py | lezardrouge/tracim | 713ff6066767554333e7e0b1de608ec1a7e4229c | [
"MIT"
] | null | null | null | # coding=utf-8
try: # Python 3.5+
from http import HTTPStatus
except ImportError:
| 46.170732 | 161 | 0.736661 | # coding=utf-8
from pyramid.config import Configurator
from pyramid.security import remember
from pyramid_ldap3 import get_ldap_connector
from tracim_backend.config import CFG
from tracim_backend.extensions import hapic
from tracim_backend.lib.core.user import UserApi
from tracim_backend.lib.utils.request import Traci... | 0 | 2,084 | 0 | 773 | 0 | 0 | 0 | 482 | 358 |
d3de5c221b0ad5e84723def80589d4bdd789ec98 | 58,383 | py | Python | neutron/tests/unit/vmware/test_nsx_plugin.py | CingHu/neutron-ustack | a1da17d0d63b3342a48c35da37984d6386ee1016 | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/vmware/test_nsx_plugin.py | CingHu/neutron-ustack | a1da17d0d63b3342a48c35da37984d6386ee1016 | [
"Apache-2.0"
] | null | null | null | neutron/tests/unit/vmware/test_nsx_plugin.py | CingHu/neutron-ustack | a1da17d0d63b3342a48c35da37984d6386ee1016 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012 OpenStack Foundation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 46.631789 | 79 | 0.579758 | # Copyright (c) 2012 OpenStack Foundation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 0 | 0 | 55,427 | 0 | 0 | 0 | 735 | 1,050 |
5149486e53e7a57b14d519cf9c5fd661e5ccbd3f | 9,915 | py | Python | XICRA_pip/XICRA/modules/database.py | HCGB-IGTP/XICRA | 0004c3b3f22f51d6d68499b8a69fb1253304d71b | [
"MIT"
] | 3 | 2021-05-16T21:13:22.000Z | 2022-01-23T08:47:48.000Z | XICRA_pip/XICRA/modules/database.py | HCGB-IGTP/XICRA | 0004c3b3f22f51d6d68499b8a69fb1253304d71b | [
"MIT"
] | 16 | 2021-03-11T10:51:25.000Z | 2022-03-12T01:02:00.000Z | XICRA_pip/XICRA/modules/database.py | HCGB-IGTP/XICRA | 0004c3b3f22f51d6d68499b8a69fb1253304d71b | [
"MIT"
] | 3 | 2021-03-05T10:07:38.000Z | 2022-01-23T08:48:06.000Z | #!/usr/bin/env python3
############################################################
## Jose F. Sanchez, Marta Lopez & Lauro Sumoy ##
## Copyright (C) 2019-2021 Lauro Sumoy Lab, IGTP, Spain ##
############################################################
"""
This module downloads data for genome annotation,... | 38.430233 | 173 | 0.60706 | #!/usr/bin/env python3
############################################################
## Jose F. Sanchez, Marta Lopez & Lauro Sumoy ##
## Copyright (C) 2019-2021 Lauro Sumoy Lab, IGTP, Spain ##
############################################################
from HCGB.functions import aesthetics_functions
"""
T... | 0 | 0 | 0 | 0 | 0 | 8,795 | 0 | 58 | 445 |
8efa097a9175d4ae033058770c6b55bc07b8cee4 | 15,788 | py | Python | backend/lost/logic/file_man.py | rZeroSys/lost | dda505dd5918f5fb1091f8e34e589c369f9f21d8 | [
"MIT"
] | 490 | 2019-01-16T12:57:22.000Z | 2022-03-26T14:13:26.000Z | backend/lost/logic/file_man.py | rZeroSys/lost | dda505dd5918f5fb1091f8e34e589c369f9f21d8 | [
"MIT"
] | 147 | 2019-01-23T13:22:42.000Z | 2022-03-30T11:14:08.000Z | backend/lost/logic/file_man.py | rZeroSys/lost | dda505dd5918f5fb1091f8e34e589c369f9f21d8 | [
"MIT"
] | 91 | 2019-03-11T10:37:50.000Z | 2022-03-28T16:41:32.000Z | __author__ = 'Jonas Jaeger'
import os
import zipfile
#import ptvsd
DATA_ROOT_PATH = ""
MEDIA_ROOT_PATH = DATA_ROOT_PATH + "media/"
# MEDIA_UPLOAD_PATH = MEDIA_ROOT_PATH + "uploads/"
# MEDIA_CHUNK_PATH = MEDIA_ROOT_PATH + ".chunks/"
# SCRIPT_ROOT_PATH = DATA_ROOT_PATH + "script/"
PIPE_ROOT_PATH = DATA_ROOT_PATH + "pip... | 33.591489 | 144 | 0.591462 | __author__ = 'Jonas Jaeger'
from os.path import join
import os
from datetime import datetime
import json
import shutil
import zipfile
import lost
import fsspec
import numpy as np
import cv2
import ast
from lost.logic.crypt import decrypt_fs_connection
#import ptvsd
DATA_ROOT_PATH = ""
MEDIA_ROOT_PATH = DATA_ROOT_PAT... | 0 | 519 | 0 | 12,312 | 0 | 857 | 0 | -21 | 311 |
0448cead8e8bfc7b31cc2d9034ba5a5cc5abc23e | 5,200 | py | Python | kafka_streamer/streamer.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | 1 | 2020-06-26T00:10:05.000Z | 2020-06-26T00:10:05.000Z | kafka_streamer/streamer.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | null | null | null | kafka_streamer/streamer.py | sam-mosleh/kafka-streamer | be977af192b33a335b42af0a42ad05d9f3f9fef4 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import annotations
| 35.37415 | 92 | 0.625385 | from __future__ import annotations
import asyncio
import logging
from typing import List, Optional, Union
import confluent_kafka
from confluent_avro import SchemaRegistry
from kafka_streamer.client import AsyncKafkaConsumer, AsyncKafkaProducer
from kafka_streamer.models import SchematicRecord, Serializable
from kafk... | 0 | 0 | 2,530 | 2,278 | 0 | 0 | 0 | 154 | 202 |
7bc9cd2afbb9b39bafa6f59e9efc38055cfd737e | 2,295 | py | Python | portal_towarzyski/portal/uzytkownicy/migrations/0001_initial.py | su-17/PSI1 | 36a8099dd5b535767749c8bf63c6891d64dda5bd | [
"MIT"
] | null | null | null | portal_towarzyski/portal/uzytkownicy/migrations/0001_initial.py | su-17/PSI1 | 36a8099dd5b535767749c8bf63c6891d64dda5bd | [
"MIT"
] | null | null | null | portal_towarzyski/portal/uzytkownicy/migrations/0001_initial.py | su-17/PSI1 | 36a8099dd5b535767749c8bf63c6891d64dda5bd | [
"MIT"
] | null | null | null | # Generated by Django 2.0.13 on 2020-01-29 20:09
| 40.263158 | 165 | 0.598257 | # Generated by Django 2.0.13 on 2020-01-29 20:09
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Dane_uzytkownika',
fields... | 0 | 0 | 0 | 2,147 | 0 | 0 | 0 | 30 | 68 |
e50ed170732ab101e6e320cb43f35a4b6efa49f0 | 1,226 | py | Python | release.py | mpetrosian/skillmodels | d9178aa1aaf15fb1354d0ac863ac9f1733bc5f7a | [
"BSD-2-Clause"
] | null | null | null | release.py | mpetrosian/skillmodels | d9178aa1aaf15fb1354d0ac863ac9f1733bc5f7a | [
"BSD-2-Clause"
] | null | null | null | release.py | mpetrosian/skillmodels | d9178aa1aaf15fb1354d0ac863ac9f1733bc5f7a | [
"BSD-2-Clause"
] | null | null | null | """Build, test, convert and upload a conda package.
For the upload step to work you have to log into your anaconda.org account
before you run the script. The steps for this are explained here:
https://conda.io/docs/user-guide/tutorials/build-pkgs.html
"""
from conda_build.api import build, convert
from os.path impor... | 31.435897 | 75 | 0.673736 | """Build, test, convert and upload a conda package.
For the upload step to work you have to log into your anaconda.org account
before you run the script. The steps for this are explained here:
https://conda.io/docs/user-guide/tutorials/build-pkgs.html
"""
from conda_build.api import build, convert
from os.path impor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f94a3e026e49e10dcd0259d901524710b25c6ad4 | 1,275 | py | Python | setup.py | zekna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | 5 | 2015-06-18T20:04:56.000Z | 2016-03-15T15:32:44.000Z | setup.py | sarlianna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | 1 | 2016-01-19T01:39:54.000Z | 2016-01-27T19:17:31.000Z | setup.py | zekna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | null | null | null | from setuptools import (setup, find_packages)
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, "README.md")) as rdme:
with open(path.join(here, "CHANGELOG.md")) as chlog:
readme = rdme.read()
changes = chlog.read()
long_description = readme + "\nCHA... | 27.717391 | 101 | 0.610196 | from setuptools import (
setup,
find_packages,
)
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, "README.md")) as rdme:
with open(path.join(here, "CHANGELOG.md")) as chlog:
readme = rdme.read()
changes = chlog.read()
long_description = read... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
4588a43c90e43017a0202e548e6f473c06545c19 | 3,611 | py | Python | nusex/cli/commands/deploy.py | Jonxslays/nusex | 8ec8a628f3ba253b218d966be41e231ed449c264 | [
"BSD-3-Clause"
] | 3 | 2021-07-30T20:47:35.000Z | 2021-07-31T20:18:30.000Z | nusex/cli/commands/deploy.py | Jonxslays/nusex | 8ec8a628f3ba253b218d966be41e231ed449c264 | [
"BSD-3-Clause"
] | 20 | 2021-10-04T21:28:45.000Z | 2021-12-13T17:12:10.000Z | nusex/cli/commands/deploy.py | Jonxslays/nusex | 8ec8a628f3ba253b218d966be41e231ed449c264 | [
"BSD-3-Clause"
] | 2 | 2021-10-08T02:22:30.000Z | 2021-11-05T00:41:35.000Z | # Copyright (c) 2021, Ethan Henderson
# 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. Redistributions of source code must retain the above copyright notice, this
# list of conditions and... | 34.721154 | 80 | 0.681529 | # Copyright (c) 2021, Ethan Henderson
# 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. Redistributions of source code must retain the above copyright notice, this
# list of conditions and... | 0 | 0 | 0 | 0 | 0 | 1,810 | 0 | 41 | 158 |
676b61242124f2df9a4564a21a24f9029cb906f4 | 2,354 | py | Python | openbases/main/papers/__init__.py | openbases/whedon-python | 6535cef2dd2cefca271ffb679b1ffb959ce5356d | [
"BSD-3-Clause"
] | 1 | 2020-02-12T23:29:54.000Z | 2020-02-12T23:29:54.000Z | openbases/main/papers/__init__.py | openbases/openbases-python | 6535cef2dd2cefca271ffb679b1ffb959ce5356d | [
"BSD-3-Clause"
] | 10 | 2018-09-08T14:49:38.000Z | 2018-09-28T00:51:30.000Z | openbases/main/papers/__init__.py | openbases/whedon-python | 6535cef2dd2cefca271ffb679b1ffb959ce5356d | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2018-2020, Vanessa Sochat All rights reserved.
# See the LICENSE in the main repository at:
# https://www.github.com/openbases/openbases-python
| 28.02381 | 78 | 0.553526 | # Copyright (c) 2018-2020, Vanessa Sochat All rights reserved.
# See the LICENSE in the main repository at:
# https://www.github.com/openbases/openbases-python
from openbases.logger import bot
from openbases.utils import read_frontmatter
import os
import re
import sys
class Journal:
joss = 'joss'
rse = '... | 0 | 0 | 0 | 2,009 | 0 | 0 | 0 | -1 | 182 |
caf537d731d117c23c1e287120f1e06ce4ca58b2 | 491 | py | Python | practice_problems/stacks_queues/stack_min.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null | practice_problems/stacks_queues/stack_min.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null | practice_problems/stacks_queues/stack_min.py | YazzyYaz/codinginterviews | b8115c43507d738bccd90366f2bc02867ba7f13f | [
"MIT"
] | null | null | null |
stack = Stack()
stack.push(4)
stack.push(6)
stack.push(2)
print(stack.get_min_value())
stack.push(1)
print(stack.get_min_value())
| 20.458333 | 55 | 0.615071 | class Stack(object):
def __init__(self):
self.items = []
self.min_value = None
def push(self, item):
if not self.min_value or self.min_value > item:
self.min_value = item
self.items.append(item)
def pop(self):
self.items.pop()
def get_min_val... | 0 | 0 | 0 | 338 | 0 | 0 | 0 | 0 | 22 |
3bf61429a52dc3ce1a25f29feb3eb2efc9518b0b | 4,613 | py | Python | test_lui_gui.py | mjnickerson/csci-e-29-finalproject | 029e5a9503dbbcd25a27988d4bc7b52890dd39af | [
"MIT"
] | null | null | null | test_lui_gui.py | mjnickerson/csci-e-29-finalproject | 029e5a9503dbbcd25a27988d4bc7b52890dd39af | [
"MIT"
] | 4 | 2021-06-08T20:48:59.000Z | 2022-03-12T00:15:14.000Z | test_lui_gui.py | mjnickerson/csci-e-29-finalproject | 029e5a9503dbbcd25a27988d4bc7b52890dd39af | [
"MIT"
] | 1 | 2021-11-13T00:11:50.000Z | 2021-11-13T00:11:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `lui_gui` package."""
| 32.716312 | 100 | 0.628875 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `lui_gui` package."""
import os
import random
import pathlib
from unittest import TestCase
import mock
from luigi.mock import MockTarget
from luigi import LocalTarget
from luigi.contrib.opener import OpenerTarget, NoOpenerError
class LuigiTestExternalTasks(... | 0 | 1,214 | 0 | 3,039 | 0 | 0 | 0 | 30 | 246 |
fec996dc37cf46cc1ebf7997dc09e856d9c9b342 | 5,061 | py | Python | ethereum/tools/stateless_client.py | NIC619/pyethereum | 12aa0306512225b1460030735963614329ad395c | [
"MIT"
] | 1 | 2021-06-16T02:33:15.000Z | 2021-06-16T02:33:15.000Z | ethereum/tools/stateless_client.py | NIC619/pyethereum | 12aa0306512225b1460030735963614329ad395c | [
"MIT"
] | null | null | null | ethereum/tools/stateless_client.py | NIC619/pyethereum | 12aa0306512225b1460030735963614329ad395c | [
"MIT"
] | 1 | 2017-11-10T15:53:06.000Z | 2017-11-10T15:53:06.000Z | import rlp
from ethereum.utils import sha3
from ethereum import trie
def get_merkle_proof(db, root, value):
"""Get the merkle proof of a given value in trie
value must exist in trie or exception will be thrown
returns a list of nodes starting from root to leaf node
"""
assert db and root an... | 36.941606 | 97 | 0.670816 | import rlp
from ethereum.utils import sha3, encode_hex
from ethereum import trie
def get_merkle_proof(db, root, value):
"""Get the merkle proof of a given value in trie
value must exist in trie or exception will be thrown
returns a list of nodes starting from root to leaf node
"""
assert db... | 0 | 0 | 0 | 0 | 0 | 2,671 | 0 | 12 | 69 |
ee48e972b1ca4e53d2711c10cd8f137abf5b0c1a | 67 | py | Python | cv.py | helloparth/Facial-Recognition-App | a7ad760ce61208e80b30274e7276e17820de9353 | [
"Apache-2.0"
] | null | null | null | cv.py | helloparth/Facial-Recognition-App | a7ad760ce61208e80b30274e7276e17820de9353 | [
"Apache-2.0"
] | null | null | null | cv.py | helloparth/Facial-Recognition-App | a7ad760ce61208e80b30274e7276e17820de9353 | [
"Apache-2.0"
] | null | null | null | /usr/local/Cellar/opencv/2.4.12_2/lib/python2.7/site-packages/cv.py | 67 | 67 | 0.791045 | /usr/local/Cellar/opencv/2.4.12_2/lib/python2.7/site-packages/cv.py | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2ce9078eb6c12c7e17ad31045e53c4cda0de7636 | 524 | py | Python | utils.py | gleybersonandrade/kytos-challenge | a59c9bc3c04dca44f0da434702b8b302e61b85aa | [
"MIT"
] | null | null | null | utils.py | gleybersonandrade/kytos-challenge | a59c9bc3c04dca44f0da434702b8b302e61b85aa | [
"MIT"
] | null | null | null | utils.py | gleybersonandrade/kytos-challenge | a59c9bc3c04dca44f0da434702b8b302e61b85aa | [
"MIT"
] | null | null | null | """Helper kytos-challenge functions."""
# System imports
# Local imports
def unpack_header(bytes):
"""Unpack packet header content."""
header = unpack('>BBHI', bytes)
return header[0], header[1], header[2], header[3]
def unpack_packet(packet_name):
"""Unpack packet content."""
f = open(packet_na... | 24.952381 | 57 | 0.671756 | """Helper kytos-challenge functions."""
# System imports
from struct import *
# Local imports
from packet import *
def unpack_header(bytes):
"""Unpack packet header content."""
header = unpack('>BBHI', bytes)
return header[0], header[1], header[2], header[3]
def unpack_packet(packet_name):
"""Unpack... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 44 |
26f5602c3865b853e0a6d7b16b5769a8a3f8f903 | 809 | py | Python | apps/apiserver/migrations/versions/4727c742f8e5_.py | xmetadata/cd-heatmap | 1f91ac30ea693a65d8ec1d446a1340dc99758b44 | [
"MIT"
] | null | null | null | apps/apiserver/migrations/versions/4727c742f8e5_.py | xmetadata/cd-heatmap | 1f91ac30ea693a65d8ec1d446a1340dc99758b44 | [
"MIT"
] | null | null | null | apps/apiserver/migrations/versions/4727c742f8e5_.py | xmetadata/cd-heatmap | 1f91ac30ea693a65d8ec1d446a1340dc99758b44 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 4727c742f8e5
Revises: 2923a924be67
Create Date: 2019-12-02 21:24:09.809578
"""
# revision identifiers, used by Alembic.
revision = '4727c742f8e5'
down_revision = '2923a924be67'
branch_labels = None
depends_on = None
| 26.096774 | 78 | 0.697157 | """empty message
Revision ID: 4727c742f8e5
Revises: 2923a924be67
Create Date: 2019-12-02 21:24:09.809578
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '4727c742f8e5'
down_revision = '2923a924be67'
branch_labels = None
depe... | 0 | 0 | 0 | 0 | 0 | 427 | 0 | 19 | 112 |
3d1e758ebcf70caab6e4d83cfdb60542a1a95f4f | 3,468 | py | Python | scripts/mdp_book_builder.py | mehazardtfgm/sbedecoder | 375e2d1f9557778170bdf3c3f0c36e721f013f52 | [
"MIT"
] | null | null | null | scripts/mdp_book_builder.py | mehazardtfgm/sbedecoder | 375e2d1f9557778170bdf3c3f0c36e721f013f52 | [
"MIT"
] | null | null | null | scripts/mdp_book_builder.py | mehazardtfgm/sbedecoder | 375e2d1f9557778170bdf3c3f0c36e721f013f52 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Build and display orderbooks from a given pcap file
"""
import sys
if __name__ == '__main__':
status = main()
sys.exit(status)
| 32.111111 | 112 | 0.662053 | #!/usr/bin/env python
"""
Build and display orderbooks from a given pcap file
"""
import sys
import os.path
import gzip
import dpkt
import binascii
from mdp.secdef import SecDef
from mdp.orderbook import PacketProcessor
from mdp.orderbook import ConsolePrinter
from sbedecoder import MDPSchema
from sbedecoder impor... | 0 | 0 | 0 | 0 | 0 | 2,953 | 0 | 55 | 292 |
7d46a0daf5b87ba0ab76852cb04525769bdbc84a | 362 | py | Python | Ch7 - Dirty Hands 1/Code/7.3_requestraise_for_status.py | 1110sillabo/ProgrammingDigitalHumanitiesBook | 9ce1bef19e28fc3c1775e1135d9d177820e69f08 | [
"MIT"
] | 2 | 2020-12-25T19:31:37.000Z | 2021-02-25T15:57:13.000Z | Ch7 - Dirty Hands 1/Code/7.3_requestraise_for_status.py | 1110sillabo/ProgrammingDigitalHumanitiesBook | 9ce1bef19e28fc3c1775e1135d9d177820e69f08 | [
"MIT"
] | null | null | null | Ch7 - Dirty Hands 1/Code/7.3_requestraise_for_status.py | 1110sillabo/ProgrammingDigitalHumanitiesBook | 9ce1bef19e28fc3c1775e1135d9d177820e69f08 | [
"MIT"
] | 1 | 2020-07-09T15:48:56.000Z | 2020-07-09T15:48:56.000Z | # Overcommented for explanatory reasons
# Load the library that handles connecting to the internet
import requests
# Ask the user for the search term
query = input('What do you want to search?')
# Performing the search
searchres = requests.get('https://www.google.com/search?q='+ query)
# Make sure the request works... | 30.166667 | 67 | 0.762431 | # Overcommented for explanatory reasons
# Load the library that handles connecting to the internet
import requests
# Ask the user for the search term
query = input('What do you want to search?')
# Performing the search
searchres = requests.get('https://www.google.com/search?q='+ query)
# Make sure the request works... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fad87040f78cfbeb613c801d94e6b9475c0135fb | 146 | py | Python | sachima/example/handler/s_scatter3d.py | DessertsLab/Sachima | 5ddf2c8afd493b593e36703dbb09b000b08eeede | [
"MIT"
] | 4 | 2019-01-25T01:44:36.000Z | 2020-06-28T00:44:43.000Z | sachima/example/handler/s_scatter3d.py | DessertsLab/Sachima | 5ddf2c8afd493b593e36703dbb09b000b08eeede | [
"MIT"
] | 154 | 2019-01-28T03:35:34.000Z | 2022-03-24T03:04:25.000Z | sachima/example/handler/s_scatter3d.py | DessertsLab/Sachima | 5ddf2c8afd493b593e36703dbb09b000b08eeede | [
"MIT"
] | 1 | 2019-02-18T06:10:55.000Z | 2019-02-18T06:10:55.000Z | """
s_scatter3d
"""
| 12.166667 | 25 | 0.554795 | """
s_scatter3d
"""
def run(data_in, params):
df = data_in[0]
header = df.iloc[0]
df = df[1:]
df.columns = header
return df
| 0 | 0 | 0 | 0 | 0 | 102 | 0 | 0 | 23 |
fc5eaf5d6c2035cf1f55d111e6d2daaa241843c1 | 329 | py | Python | src/config_default.py | mflaxman/specter-diy | 3f0c21c0ec534f8178c572baebbb901f9be1652b | [
"MIT"
] | 279 | 2019-08-31T02:26:24.000Z | 2022-03-30T06:34:33.000Z | src/config_default.py | moneymanolis/specter-diy | 324f3ed7f27ea1d3385077039861cdeaf21c427a | [
"MIT"
] | 125 | 2019-09-17T10:48:57.000Z | 2022-03-11T11:06:51.000Z | src/config_default.py | moneymanolis/specter-diy | 324f3ed7f27ea1d3385077039861cdeaf21c427a | [
"MIT"
] | 58 | 2019-09-03T17:11:13.000Z | 2022-03-31T03:17:40.000Z | import sys
import os
simulator = sys.platform != "pyboard"
# to overwrite these settings create a config.py file
if simulator:
storage_root = "./fs"
try:
os.mkdir(storage_root)
except:
pass
else:
storage_root = ""
# pin that triggers QR code
# if command mode failed
QRSCANNER_TRIGGE... | 15.666667 | 53 | 0.665653 | import sys
import os
simulator = sys.platform != "pyboard"
# to overwrite these settings create a config.py file
if simulator:
storage_root = "./fs"
try:
os.mkdir(storage_root)
except:
pass
else:
storage_root = ""
# pin that triggers QR code
# if command mode failed
QRSCANNER_TRIGGE... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d8192a4daa587e7ed73a118afd1be53541979a6e | 960 | py | Python | src/axis/axis.py | hassnabdl/Helix-Analysis-Program | 6383b132aefb4f0f51965d1812b59625ba35dab2 | [
"MIT"
] | 1 | 2021-05-12T20:28:08.000Z | 2021-05-12T20:28:08.000Z | src/axis/axis.py | hassnabdl/Helix-Analysis-Program | 6383b132aefb4f0f51965d1812b59625ba35dab2 | [
"MIT"
] | 1 | 2021-05-14T09:12:29.000Z | 2021-05-20T14:14:49.000Z | src/axis/axis.py | hassnabdl/Helix-Analysis-Program | 6383b132aefb4f0f51965d1812b59625ba35dab2 | [
"MIT"
] | 1 | 2021-05-20T14:38:31.000Z | 2021-05-20T14:38:31.000Z | import numpy
def principal_axis(alpha_carbons):
"""
Calculate principal inertia axis for the structure along with its geometrical center
---
Parameters:
alpha_carbons: alpha carbons of the structure
---
Return:
center: geometrical center of the structure
axis_direction: directio... | 24.615385 | 88 | 0.696875 | import numpy
def principal_axis(alpha_carbons):
"""
Calculate principal inertia axis for the structure along with its geometrical center
---
Parameters:
alpha_carbons: alpha carbons of the structure
---
Return:
center: geometrical center of the structure
axis_direction: directio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de586bb7ec0cb3f0ac23a3938db67633e9d549b0 | 1,100 | py | Python | migrations/versions/e11c61ce67e7_.py | di/cabotage-app | a119800ce5a83547c0abf31540bd0bc90a0e6d10 | [
"MIT"
] | 15 | 2018-04-12T20:57:25.000Z | 2022-02-25T01:51:58.000Z | migrations/versions/e11c61ce67e7_.py | di/cabotage-app | a119800ce5a83547c0abf31540bd0bc90a0e6d10 | [
"MIT"
] | 10 | 2018-01-30T19:55:06.000Z | 2021-06-15T21:54:17.000Z | migrations/versions/e11c61ce67e7_.py | di/cabotage-app | a119800ce5a83547c0abf31540bd0bc90a0e6d10 | [
"MIT"
] | 6 | 2018-01-30T10:49:17.000Z | 2022-02-25T01:51:59.000Z | """empty message
Revision ID: e11c61ce67e7
Revises: 5db306adc6cc
Create Date: 2018-04-17 08:27:07.852716
"""
# revision identifiers, used by Alembic.
revision = 'e11c61ce67e7'
down_revision = '5db306adc6cc'
branch_labels = None
depends_on = None
| 35.483871 | 205 | 0.741818 | """empty message
Revision ID: e11c61ce67e7
Revises: 5db306adc6cc
Create Date: 2018-04-17 08:27:07.852716
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = 'e11c61ce67e7'
down_revision = '5db306adc6cc'
branch_labels = None... | 0 | 0 | 0 | 0 | 0 | 713 | 0 | 24 | 112 |
2d56f0b2f276b7c540c89d418e9535d38f24253a | 345 | py | Python | starchart/ml/stater.py | monochromegane/starchart | 8f14f6c7284e9cce884bce95f39755e1c5a1c7c5 | [
"MIT"
] | 12 | 2017-01-12T03:31:48.000Z | 2021-05-15T06:56:31.000Z | starchart/ml/stater.py | monochromegane/starchart | 8f14f6c7284e9cce884bce95f39755e1c5a1c7c5 | [
"MIT"
] | 1 | 2019-12-24T05:26:35.000Z | 2019-12-24T05:26:46.000Z | starchart/ml/stater.py | monochromegane/starchart | 8f14f6c7284e9cce884bce95f39755e1c5a1c7c5 | [
"MIT"
] | 1 | 2017-01-18T12:10:06.000Z | 2017-01-18T12:10:06.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
| 26.538462 | 70 | 0.611594 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from starchart.ml import contexts, jobs
def state(args):
context = contexts.Context(args)
jobs_, _ = jobs.list(context, fields='jobs(jobId,state)')
for job in jobs_:
if context.model_name in job['jobId']:
print('jobId: {} ({})'.format(job[... | 0 | 0 | 0 | 0 | 0 | 235 | 0 | 18 | 46 |
5a108810ac108d82e0171700b780df3d69b789d4 | 4,099 | py | Python | IDSSignature.py | PhilSchroeder/IDSDeathBlossom | bc132c4478733834fd95969257aef523bcb47f44 | [
"BSD-3-Clause"
] | 19 | 2015-04-13T23:04:40.000Z | 2019-04-21T18:35:11.000Z | IDSSignature.py | PhilSchroeder/IDSDeathBlossom | bc132c4478733834fd95969257aef523bcb47f44 | [
"BSD-3-Clause"
] | 6 | 2016-08-25T16:16:18.000Z | 2020-07-13T21:45:02.000Z | IDSSignature.py | PhilSchroeder/IDSDeathBlossom | bc132c4478733834fd95969257aef523bcb47f44 | [
"BSD-3-Clause"
] | 14 | 2015-04-14T23:00:02.000Z | 2020-10-12T18:56:20.000Z | # -*- coding: utf-8 -*-
#*************************************************************
# Copyright (c) 2003-2012, Emerging Threats
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# * ... | 37.953704 | 126 | 0.560625 | # -*- coding: utf-8 -*-
#*************************************************************
# Copyright (c) 2003-2012, Emerging Threats
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# * ... | 0 | 0 | 0 | 2,330 | 0 | 0 | 0 | 4 | 68 |
dafc22e5b69a52b28bd30e20201a37ab077df9b5 | 2,090 | py | Python | mise/__main__.py | appleparan/mise.py | a77ea51be37a739928600c66d168d69b78bc0c4b | [
"MIT"
] | 1 | 2021-09-12T15:25:54.000Z | 2021-09-12T15:25:54.000Z | mise/__main__.py | appleparan/mise.py | a77ea51be37a739928600c66d168d69b78bc0c4b | [
"MIT"
] | 4 | 2021-07-14T09:59:56.000Z | 2022-03-12T01:03:40.000Z | mise/__main__.py | appleparan/mise.py | a77ea51be37a739928600c66d168d69b78bc0c4b | [
"MIT"
] | 1 | 2021-09-12T15:25:56.000Z | 2021-09-12T15:25:56.000Z | """Main interface to other modules
"""
import argparse
# multivariate
# machine learning models
# univariate
# statistical models
def compute_stats(_args):
"""
stats(_args)
Run statistical models
"""
sims = _args["stats"]
if len(sims) == 0:
# specify all simulation name
... | 24.880952 | 82 | 0.701914 | """Main interface to other modules
"""
import argparse
# multivariate
from mise.dl.dt_xgboost import dl_xgboost
from mise.dl.mlp_mul_ms import dl_mlp_mul_ms
from mise.dl.mlp_mul_ms_mccr import dl_mlp_mul_ms_mccr
from mise.dl.mlp_mul_transformer import dl_mlp_mul_transformer
from mise.dl.mlp_mul_transformer_mccr import... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 352 |
da93d5f1012113a4a2fab095541ea6b2f896b402 | 1,335 | py | Python | cmc_api/test_cases/TC_api_connected_device_number_distribution.py | 9nehS/mop_cmc_test | 2d6cabaf7e6fe3a6825961d5b8ddd69d7467542e | [
"Apache-2.0"
] | null | null | null | cmc_api/test_cases/TC_api_connected_device_number_distribution.py | 9nehS/mop_cmc_test | 2d6cabaf7e6fe3a6825961d5b8ddd69d7467542e | [
"Apache-2.0"
] | null | null | null | cmc_api/test_cases/TC_api_connected_device_number_distribution.py | 9nehS/mop_cmc_test | 2d6cabaf7e6fe3a6825961d5b8ddd69d7467542e | [
"Apache-2.0"
] | null | null | null | import unittest
if __name__ == '__main__':
unittest.main() | 27.244898 | 95 | 0.59176 | import requests
import unittest
from cmc_api.common.api import Api
class MopCmcApiTest(unittest.TestCase):
def setUp(self):
self._api_host = 'vmlnx-k8s04.calix.local'
self._api_port = '8080'
self.org_id = '160090'
self.pattern_connected_devices = '^0$|^[1-9]\d*$'
@property
... | 0 | 152 | 0 | 1,044 | 0 | 0 | 0 | 7 | 67 |
ade08ac892c6a8366380aae44714d7866547fe8f | 6,377 | py | Python | benchmark/kernel/train_eval.py | pwycl/pytorch_geometric | ef7b1add2bb5a36a3a68cae7639c42000f629cac | [
"MIT"
] | null | null | null | benchmark/kernel/train_eval.py | pwycl/pytorch_geometric | ef7b1add2bb5a36a3a68cae7639c42000f629cac | [
"MIT"
] | null | null | null | benchmark/kernel/train_eval.py | pwycl/pytorch_geometric | ef7b1add2bb5a36a3a68cae7639c42000f629cac | [
"MIT"
] | null | null | null | import sys
import random
import os.path as osp
import time
import tqdm
import torch
import torch.nn.functional as F
from torch import tensor
from torch.optim import Adam
from sklearn.model_selection import StratifiedKFold
from torch_geometric.data import DataLoader, DenseDataLoader as DenseLoader
device = torch.devic... | 33.213542 | 116 | 0.588678 | import sys
import random
import os.path as osp
import time
import tqdm
import torch
import torch.nn.functional as F
from torch import tensor
from torch.optim import Adam
from sklearn.model_selection import StratifiedKFold
from torch_geometric.data import DataLoader, DenseDataLoader as DenseLoader
device = torch.devic... | 4 | 0 | 0 | 0 | 0 | 2,873 | 0 | 0 | 23 |
a69a96120ce16c53cb9dbc59a0c56d581ce2c59e | 1,006 | py | Python | python/december_2.py | JonClayton/Advent-of-Code | f75b9a4eb64c5ef3a95a1bc9a3495a683245b37f | [
"Unlicense"
] | 1 | 2021-12-01T17:27:59.000Z | 2021-12-01T17:27:59.000Z | python/december_2.py | JonClayton/Advent-of-Code-2021 | f75b9a4eb64c5ef3a95a1bc9a3495a683245b37f | [
"Unlicense"
] | null | null | null | python/december_2.py | JonClayton/Advent-of-Code-2021 | f75b9a4eb64c5ef3a95a1bc9a3495a683245b37f | [
"Unlicense"
] | null | null | null | from python.classes import Solution
solution = Solution('inputs/inputs_02.json', first_solution, second_solution)
| 25.15 | 77 | 0.616302 | from python.classes import Solution
def first_solution(a_list_of_actions):
steps = convert_to_action_tuples(a_list_of_actions)
down = 0
forward = 0
for pair in steps:
down += pair[1]
forward += pair[0]
return forward * down
def second_solution(a_list_of_actions):
steps = conv... | 0 | 0 | 0 | 0 | 0 | 818 | 0 | 0 | 69 |
1c2e2827127ca09db1965ad1e596f372ea8f2ad7 | 2,056 | py | Python | tests/infra/test_utils.py | Keendata/impala | b25e250d321f329b98e017c648df75d052497963 | [
"Apache-2.0"
] | 1,523 | 2015-01-01T03:42:24.000Z | 2022-02-06T22:24:04.000Z | tests/infra/test_utils.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 10 | 2015-01-09T06:46:05.000Z | 2022-03-29T21:57:57.000Z | tests/infra/test_utils.py | xwzbupt/impala | 97dda2b27da99367f4d07699aa046b16cda16dd4 | [
"Apache-2.0"
] | 647 | 2015-01-02T04:01:40.000Z | 2022-03-30T15:57:35.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 41.959184 | 87 | 0.708658 | # 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 | 0 | 0 | 0 | 0 | 354 | 0 | 34 | 46 |
d5a08b2e8b3fe198a5321173a6ec13320760df19 | 2,350 | py | Python | testproject/pythonproject/TC008_post_delete.py | ksj-123/conduit | 3427d76d0fa364cb5d19bdd6da4aeb0a22fe9660 | [
"MIT"
] | 1 | 2021-06-07T17:07:58.000Z | 2021-06-07T17:07:58.000Z | testproject/pythonproject/TC008_post_delete.py | Arthii01052/conduit | 3427d76d0fa364cb5d19bdd6da4aeb0a22fe9660 | [
"MIT"
] | null | null | null | testproject/pythonproject/TC008_post_delete.py | Arthii01052/conduit | 3427d76d0fa364cb5d19bdd6da4aeb0a22fe9660 | [
"MIT"
] | 1 | 2022-03-31T06:46:19.000Z | 2022-03-31T06:46:19.000Z | # TC008 - My blog post delete
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
import time
opt = Options()
opt.headless = False
driver = webdriver.Chrome(ChromeDriverManager().install(), options=opt)
driver.set_window_size(10... | 26.111111 | 76 | 0.664681 | # TC008 - My blog post delete
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
import time
opt = Options()
opt.headless = False
driver = webdriver.Chrome(ChromeDriverManager().install(), options=opt)
driver.set_window_size(10... | 0 | 0 | 0 | 0 | 0 | 519 | 0 | 0 | 74 |
4bf7b7e7a4ca32434a6bde33785dfe302a310295 | 234 | py | Python | languages/python/topics/urls/P003_URLEncoding_UsingRequests.py | lakshmikanth-tesla/DeveloperNotes2Myself | 9a5dad930ddbb99ace46d2d672109e8553aecbc2 | [
"MIT"
] | 2 | 2019-05-25T10:09:00.000Z | 2022-03-11T09:06:23.000Z | languages/python/topics/urls/P003_URLEncoding_UsingRequests.py | lakshmikanth-tesla/DeveloperNotes2Myself | 9a5dad930ddbb99ace46d2d672109e8553aecbc2 | [
"MIT"
] | 2 | 2020-03-31T04:30:17.000Z | 2020-10-30T07:54:28.000Z | languages/python/topics/urls/P003_URLEncoding_UsingRequests.py | lakshmikanth-tesla/DeveloperNotes2Myself | 9a5dad930ddbb99ace46d2d672109e8553aecbc2 | [
"MIT"
] | 4 | 2019-07-12T13:18:56.000Z | 2021-11-17T08:04:55.000Z | from requests.utils import quote
urlString1 = "NIFTY 25"
urlString2 = 'NIFTY A\B\C\D'
urlString3 = '22/01/2014'
# Using urls library
print quote(urlString1, safe='')
print quote(urlString2, safe='')
print quote(urlString3, safe='')
| 21.272727 | 32 | 0.726496 | from requests.utils import quote
urlString1 = "NIFTY 25"
urlString2 = 'NIFTY A\B\C\D'
urlString3 = '22/01/2014'
# Using urls library
print quote(urlString1, safe='')
print quote(urlString2, safe='')
print quote(urlString3, safe='')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de9a791d6b5460dd5ab1019043ee76937fcef551 | 5,313 | py | Python | semilive.py | toji/semilive | f971c0ede7c3794ff9afaa48019821ef6e16236d | [
"MIT"
] | 136 | 2017-05-19T21:15:08.000Z | 2022-03-18T01:12:05.000Z | semilive.py | toji/semilive | f971c0ede7c3794ff9afaa48019821ef6e16236d | [
"MIT"
] | 1 | 2017-08-02T08:19:22.000Z | 2017-10-30T20:16:12.000Z | semilive.py | toji/semilive | f971c0ede7c3794ff9afaa48019821ef6e16236d | [
"MIT"
] | 6 | 2017-05-20T13:15:05.000Z | 2019-01-24T05:18:24.000Z | # Copyright (c) 2017, Brandon Jones.
#
# 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, dis... | 35.18543 | 83 | 0.659138 | # Copyright (c) 2017, Brandon Jones.
#
# 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, dis... | 0 | 0 | 0 | 3,827 | 0 | 167 | 0 | 0 | 114 |
6b64d892b723dd59e3460a7b705ea17745488f3d | 1,196 | py | Python | scripts/train.py | Iuty/vue.fastcnn2.winservice | de4c8dcd19549ca9992346101c78b87077c86813 | [
"Apache-2.0"
] | null | null | null | scripts/train.py | Iuty/vue.fastcnn2.winservice | de4c8dcd19549ca9992346101c78b87077c86813 | [
"Apache-2.0"
] | null | null | null | scripts/train.py | Iuty/vue.fastcnn2.winservice | de4c8dcd19549ca9992346101c78b87077c86813 | [
"Apache-2.0"
] | null | null | null |
import tensorflow as tf
cp_callback = tf.keras.callbacks.ModelCheckpoint(filepath=checkpoint_save_path,
save_weights_only=False,
save_best_only=False)
tensorboard = tf.keras.callbacks.Tenso... | 44.296296 | 92 | 0.534281 |
import tensorflow as tf
def trainModel(tagpath,model,train_x,train_y,batch_size,maxperiod,val_x,val_y):
log_dir = os.path.join(tagpath,'logs',datetime.datetime.now().strftime("%Y%m%d-%H%M%S"))
checkpoint_save_path = os.path.join(tagpath,"checkpoint","save.ckpt"
if os.path.exists(checkpoint_save_... | 0 | 0 | 0 | 0 | 0 | 401 | 0 | 0 | 23 |
aa864e9fdf4e524bc23a0212ba00d694164c5a69 | 3,431 | py | Python | psdaq/psdaq/configdb/opaltt_update_weights.py | ZhenghengLi/lcls2 | 94e75c6536954a58c8937595dcac295163aa1cdf | [
"BSD-3-Clause-LBNL"
] | null | null | null | psdaq/psdaq/configdb/opaltt_update_weights.py | ZhenghengLi/lcls2 | 94e75c6536954a58c8937595dcac295163aa1cdf | [
"BSD-3-Clause-LBNL"
] | null | null | null | psdaq/psdaq/configdb/opaltt_update_weights.py | ZhenghengLi/lcls2 | 94e75c6536954a58c8937595dcac295163aa1cdf | [
"BSD-3-Clause-LBNL"
] | null | null | null | import psdaq.configdb.configdb as cdb
import numpy as np
import argparse
from psdaq.configdb.opaltt_config_store import opaltt_cdict
# Copy values and shape from config dict into cdict
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Update weights and/or calib polynomial constants')
... | 38.988636 | 173 | 0.641795 | import psdaq.configdb.configdb as cdb
import sys
import IPython
import numpy as np
import argparse
from psdaq.configdb.opaltt_config_store import opaltt_cdict
# Copy values and shape from config dict into cdict
def copyValues(din,dout,k=None):
if k is not None and ':RO' in k:
return
if isinstance(din,... | 0 | 0 | 0 | 0 | 0 | 519 | 0 | -18 | 66 |
3f5a07b6f416b37a59a4faff67da29f587d3d24f | 1,505 | py | Python | archgenerator/utils.py | uriyyo/archgenerator | 59c90b23a2318dadf60ab4c8bccbdc8a280f7deb | [
"MIT"
] | null | null | null | archgenerator/utils.py | uriyyo/archgenerator | 59c90b23a2318dadf60ab4c8bccbdc8a280f7deb | [
"MIT"
] | null | null | null | archgenerator/utils.py | uriyyo/archgenerator | 59c90b23a2318dadf60ab4c8bccbdc8a280f7deb | [
"MIT"
] | null | null | null | from typing import TypeVar
T = TypeVar("T")
__all__ = ["cached", "retry", "run_in_executor"]
| 24.274194 | 75 | 0.586047 | from asyncio import sleep, get_event_loop
from contextvars import copy_context
from functools import wraps, partial
from itertools import count
from random import randint
from typing import Tuple, Callable, TypeVar, Awaitable
T = TypeVar("T")
def retry(attempts: int = 10, delay_range: Tuple[int, int] = (1, 10)):
... | 0 | 721 | 0 | 0 | 0 | 417 | 0 | 89 | 179 |
4fd777b13518588527b78cc41112703793d49912 | 1,154 | py | Python | dodo.py | dreamhorn/dreamhorn | 451fa9492cb3886e42a90ce375e2ef0da6d7f7ff | [
"BSD-3-Clause"
] | null | null | null | dodo.py | dreamhorn/dreamhorn | 451fa9492cb3886e42a90ce375e2ef0da6d7f7ff | [
"BSD-3-Clause"
] | null | null | null | dodo.py | dreamhorn/dreamhorn | 451fa9492cb3886e42a90ce375e2ef0da6d7f7ff | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from path import path
PATH = path(__file__).dirname()
BIN = PATH / 'node_modules' / '.bin'
SRC = PATH / 'src'
COFFEE_SOURCES = list(SRC.walkfiles('*.coffee'))
JS_SOURCES = list(SRC.walkfiles('*.js'))
SOURCES = COFFEE_SOURCES + JS_SOURCES
COFFEE_TARGETS = [
(PATH / src.relpath(SRC)).repl... | 21.773585 | 80 | 0.551993 | # -*- coding: utf-8 -*-
from path import path
PATH = path(__file__).dirname()
BIN = PATH / 'node_modules' / '.bin'
SRC = PATH / 'src'
COFFEE_SOURCES = list(SRC.walkfiles('*.coffee'))
JS_SOURCES = list(SRC.walkfiles('*.js'))
SOURCES = COFFEE_SOURCES + JS_SOURCES
COFFEE_TARGETS = [
(PATH / src.relpath(SRC)).repl... | 0 | 0 | 0 | 0 | 624 | 36 | 0 | 0 | 46 |
010d2f11aa2b8da4251d313ddefabd969377a641 | 3,749 | py | Python | tfw/chat/ircbot.py | lildonpancho/tfw | 190bcae58e1fa18603da85675c0fa5dae6a4f521 | [
"Apache-2.0"
] | 3 | 2019-05-30T01:46:00.000Z | 2019-08-02T16:46:19.000Z | tfw/chat/ircbot.py | lildonpancho/tfw | 190bcae58e1fa18603da85675c0fa5dae6a4f521 | [
"Apache-2.0"
] | null | null | null | tfw/chat/ircbot.py | lildonpancho/tfw | 190bcae58e1fa18603da85675c0fa5dae6a4f521 | [
"Apache-2.0"
] | 3 | 2019-04-19T21:33:06.000Z | 2019-05-31T02:39:59.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This is a skeleton file that can serve as a starting point for a Python
console script. To run this script uncomment the following lines in the
[options.entry_points] section in setup.cfg:
console_scripts =
fibonacci = nlpia_bot.skeleton:run
Then run `pyt... | 26.971223 | 89 | 0.646572 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This is a skeleton file that can serve as a starting point for a Python
console script. To run this script uncomment the following lines in the
[options.entry_points] section in setup.cfg:
console_scripts =
fibonacci = nlpia_bot.skeleton:run
Then run `pyt... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 |
9c008f2abe6d865350c653dd1c4ad92d8154294b | 3,370 | py | Python | lib/starling_join_client.py | manner82/safeguard-sessions-plugin-starling-2fa | cd92f95c0b3b4e6f892275964b9e27154381e84c | [
"MIT"
] | null | null | null | lib/starling_join_client.py | manner82/safeguard-sessions-plugin-starling-2fa | cd92f95c0b3b4e6f892275964b9e27154381e84c | [
"MIT"
] | null | null | null | lib/starling_join_client.py | manner82/safeguard-sessions-plugin-starling-2fa | cd92f95c0b3b4e6f892275964b9e27154381e84c | [
"MIT"
] | null | null | null | #
# Copyright (c) 2018-2019 One Identity
#
# 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, publis... | 46.805556 | 118 | 0.732047 | #
# Copyright (c) 2018-2019 One Identity
#
# 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, publis... | 0 | 377 | 0 | 1,509 | 0 | 0 | 0 | 52 | 90 |
043f0a6b74e9d00637e02e9b81e0139b832325a4 | 342 | py | Python | plugins/targz.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | 2 | 2016-03-15T15:07:06.000Z | 2016-05-10T23:01:05.000Z | plugins/targz.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null | plugins/targz.py | microns-ariadne/ariadne-pipeline-test-harness | 73e749c48d1ff103fee2044833778e33c70be73b | [
"MIT"
] | null | null | null |
plugin_class="targz"
| 20.117647 | 59 | 0.654971 | import plugin
import os
plugin_class="targz"
class targz(plugin.ArchivePlugin):
name="targz"
def can_handle(self, extension):
return extension == ".tar.gz" or extension == ".tgz"
def unpack(self, file_name, destination):
os.system("tar -xzf "+file_name+" -C "+destination)
def __init__(... | 0 | 0 | 0 | 273 | 0 | 0 | 0 | -20 | 67 |
57651aead8bc780e069dcbb4153946b076f0ec3e | 3,044 | py | Python | src/home_work/part_1_coding/python_list_exercices.py | AndreiHustiuc/IT_Factory_Course | c6f3e4a9282a1c19c0f52c79f0c81f026814a02a | [
"MIT"
] | null | null | null | src/home_work/part_1_coding/python_list_exercices.py | AndreiHustiuc/IT_Factory_Course | c6f3e4a9282a1c19c0f52c79f0c81f026814a02a | [
"MIT"
] | null | null | null | src/home_work/part_1_coding/python_list_exercices.py | AndreiHustiuc/IT_Factory_Course | c6f3e4a9282a1c19c0f52c79f0c81f026814a02a | [
"MIT"
] | 1 | 2022-03-16T10:39:03.000Z | 2022-03-16T10:39:03.000Z | # Assign the first element of the list to answer_1 on line 2
lst=[11, 100, 99, 1000, 999]
answer_1=lst[0]
print(answer_1)
#=====================================
#This time print the second element of the list directly on line 3. You should get 100.
lst=[11, 100, 101, 999, 1001]
print(lst[1])
#======================... | 24.95082 | 135 | 0.556505 | # Assign the first element of the list to answer_1 on line 2
lst=[11, 100, 99, 1000, 999]
answer_1=lst[0]
print(answer_1)
#=====================================
#This time print the second element of the list directly on line 3. You should get 100.
lst=[11, 100, 101, 999, 1001]
print(lst[1])
#======================... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fa052566aa6849e06985b1e378dbe7a75600e6d6 | 3,625 | py | Python | milpool/training.py | knutdrand/milpool | 6d33c6eb4d3bbdd8d95fce6a7006c43d9d939026 | [
"MIT"
] | null | null | null | milpool/training.py | knutdrand/milpool | 6d33c6eb4d3bbdd8d95fce6a7006c43d9d939026 | [
"MIT"
] | null | null | null | milpool/training.py | knutdrand/milpool | 6d33c6eb4d3bbdd8d95fce6a7006c43d9d939026 | [
"MIT"
] | null | null | null | # from .visualization import plot_distributions_2d
| 39.402174 | 140 | 0.595862 | import torch
from copy import deepcopy
# from .visualization import plot_distributions_2d
from itertools import chain
def simple_mil_training(X, y, model, n_iterations=1000, n_epochs=5):
crit = torch.nn.BCEWithLogitsLoss(reduction='mean')
optim = torch.optim.SGD(model.parameters(), lr=1e-1, momentum=0.0)
p... | 0 | 0 | 0 | 0 | 0 | 3,424 | 0 | 1 | 135 |
fddbae7ddbdcfb9064f3c75b532763a4d49e5843 | 16,261 | py | Python | encyclopedia/eav.py | scott-howard-james/encyclopedia | 8322320df790a56a51216208ae4977a1041085d2 | [
"Apache-2.0"
] | null | null | null | encyclopedia/eav.py | scott-howard-james/encyclopedia | 8322320df790a56a51216208ae4977a1041085d2 | [
"Apache-2.0"
] | null | null | null | encyclopedia/eav.py | scott-howard-james/encyclopedia | 8322320df790a56a51216208ae4977a1041085d2 | [
"Apache-2.0"
] | null | null | null | # standard
import unittest
# external
if __name__ == '__main__':
unittest.main()
| 34.305907 | 121 | 0.509071 | # standard
import unittest
import tempfile
import typing
# external
from encyclopedia import Unindexed
class EAV(dict, Unindexed):
'''
Container for storing small-ish EAV "triples" (Entity-Atrribute-Value).
- Focus of class is providing convenient dictionary-like access rather than data analysis functional... | 0 | 136 | 0 | 15,928 | 0 | 0 | 0 | -1 | 112 |
73a701e1c6d57e71d9866cbcf99b25e44e0aa00d | 1,313 | py | Python | calm/dsl/builtins/models/endpoint_payload.py | tuxtof/calm-dsl | 5af67435d8304b97e170a690068f2d5975e9bfe6 | [
"Apache-2.0"
] | 37 | 2019-12-23T15:23:20.000Z | 2022-03-15T11:12:11.000Z | calm/dsl/builtins/models/endpoint_payload.py | gabybeitler/calm-dsl | bac453413cfcf800eef95d89d5a7323c83654a93 | [
"Apache-2.0"
] | 144 | 2020-03-09T11:22:09.000Z | 2022-03-28T21:34:09.000Z | calm/dsl/builtins/models/endpoint_payload.py | gabybeitler/calm-dsl | bac453413cfcf800eef95d89d5a7323c83654a93 | [
"Apache-2.0"
] | 46 | 2020-01-23T14:28:04.000Z | 2022-03-09T04:17:10.000Z |
# Endpoint Payload
EndpointPayload = _endpoint_payload()
| 24.773585 | 85 | 0.703732 | from .entity import EntityType, Entity
from .validator import PropertyValidator
from .endpoint import EndpointType
# Endpoint Payload
class EndpointPayloadType(EntityType):
__schema_name__ = "EndpointPayload"
__openapi_type__ = "endpoint_payload"
class EndpointPayloadValidator(PropertyValidator, openapi_t... | 0 | 0 | 0 | 219 | 0 | 822 | 0 | 49 | 158 |
0ae7296a7096ef67b693ba3c6323df75c8308ca2 | 2,161 | py | Python | code/Solution_0105_buildTree.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | code/Solution_0105_buildTree.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | code/Solution_0105_buildTree.py | qizhenkang/myLeetCode | cb9edce69567eba9d96ce756507a5a7ac6e74293 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 28 23:39:31 2021
@author: qizhe
"""
# Definition for a binary tree node.
if __name__ == '__main__':
solu = Solution()
input_Str = str('{[]{}()}')
# input_list =
input_List = [90]
input_int = 200
n1 = TreeNode(15)
n2 = TreeNode(7)
n3 = T... | 28.064935 | 120 | 0.580287 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 28 23:39:31 2021
@author: qizhe
"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def buildTree(self, preorder, ino... | 420 | 0 | 0 | 1,218 | 0 | 0 | 0 | 0 | 44 |
16549ce1e5693e8ba671aec0e261b7166ae7b765 | 3,479 | py | Python | manage.py | small99/AutoLine | 2a672e2fe3ff7d00625f75f3b3aff25b59567b95 | [
"Apache-2.0"
] | 249 | 2018-05-11T08:43:17.000Z | 2021-08-13T09:32:57.000Z | manage.py | small99/AutoLine | 2a672e2fe3ff7d00625f75f3b3aff25b59567b95 | [
"Apache-2.0"
] | 31 | 2018-05-15T01:25:18.000Z | 2022-03-12T00:11:29.000Z | manage.py | small99/AutoLine | 2a672e2fe3ff7d00625f75f3b3aff25b59567b95 | [
"Apache-2.0"
] | 132 | 2018-03-01T02:34:52.000Z | 2021-02-08T02:00:40.000Z | # -*- coding: utf-8 -*-
__author__ = ""
"""
:
Email: lymking@foxmail.com
"""
import os
import sys
from app import create_app, db
from flask_script import Manager, Shell
from flask_migrate import Migrate, MigrateCommand
os.environ["PATH"] = os.environ["PATH"] + ";" + os.getcwd() + "/bin"
app = create_app(os... | 25.394161 | 85 | 0.561368 | # -*- coding: utf-8 -*-
__author__ = "苦叶子"
"""
公众号: 开源优测
Email: lymking@foxmail.com
"""
import os
import sys
import codecs
import requests
from app import create_app, db
from app.utils.trigger import Trigger
from app.models import User, Role
from flask_script import Manager, Shell
from flask_migrate import Migrat... | 675 | 637 | 0 | 0 | 0 | 1,584 | 0 | 14 | 249 |
ed563fd68bd9fcb34854fe615335ca8309df9c6b | 404 | py | Python | tools/print_status.py | babygrimes/circuitpython | 2adecda5eb1ed864f9d0804cd39966a98b3e3405 | [
"MIT"
] | 36 | 2017-05-20T21:11:49.000Z | 2022-01-30T18:36:45.000Z | tools/print_status.py | babygrimes/circuitpython | 2adecda5eb1ed864f9d0804cd39966a98b3e3405 | [
"MIT"
] | 6 | 2018-06-01T15:12:52.000Z | 2022-01-11T00:10:28.000Z | tools/print_status.py | babygrimes/circuitpython | 2adecda5eb1ed864f9d0804cd39966a98b3e3405 | [
"MIT"
] | 3 | 2020-02-12T13:21:47.000Z | 2021-12-02T15:56:16.000Z | #!/usr/bin/env python3
import sys
if len(sys.argv) != 2:
print("""\
Usage: print_status.py STATUS_FILENAME
STATUS_FILENAME contains one line with an integer status."""
)
sys.exit(1)
with open(sys.argv[1], 'r') as status_in:
status = int(status_in.readline())
print('{} with status {}'.format(
"... | 25.25 | 75 | 0.655941 | #!/usr/bin/env python3
import sys
if len(sys.argv) != 2:
print("""\
Usage: print_status.py STATUS_FILENAME
STATUS_FILENAME contains one line with an integer status."""
)
sys.exit(1)
with open(sys.argv[1], 'r') as status_in:
status = int(status_in.readline())
print('{} with status {}'.format(
"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
65f127c8d63d991de7eccb2d8d8a6bbb7f652397 | 165 | py | Python | Config/avatar.py | wisrovi/MANITOR-WISROVI | e4b08a9bae4ec9d1a1f0acde08a84e2b8c5e7b51 | [
"MIT"
] | null | null | null | Config/avatar.py | wisrovi/MANITOR-WISROVI | e4b08a9bae4ec9d1a1f0acde08a84e2b8c5e7b51 | [
"MIT"
] | null | null | null | Config/avatar.py | wisrovi/MANITOR-WISROVI | e4b08a9bae4ec9d1a1f0acde08a84e2b8c5e7b51 | [
"MIT"
] | null | null | null | AVATAR = dict()
AVATAR['START'] = "avatar_saludo.mp4"
AVATAR['BAS1'] = "avatar_basico.mp4"
AVATAR['BAS2'] = "avatar_basico2.mp4"
AVATAR['END'] = "avatar_final.mp4"
| 23.571429 | 37 | 0.690909 | AVATAR = dict()
AVATAR['START'] = "avatar_saludo.mp4"
AVATAR['BAS1'] = "avatar_basico.mp4"
AVATAR['BAS2'] = "avatar_basico2.mp4"
AVATAR['END'] = "avatar_final.mp4"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b9ed1d4a3b50dc1357e2090fa2a0f685536376ff | 4,120 | py | Python | src/eudat/accounting/client/__main__.py | raphael-ritz/eudat.accounting.client | 19ebf95aaa2081691534b82bc1bbe8860c8ef3d6 | [
"BSD-2-Clause"
] | null | null | null | src/eudat/accounting/client/__main__.py | raphael-ritz/eudat.accounting.client | 19ebf95aaa2081691534b82bc1bbe8860c8ef3d6 | [
"BSD-2-Clause"
] | 7 | 2017-03-24T09:52:05.000Z | 2018-08-09T10:34:00.000Z | src/eudat/accounting/client/__main__.py | raphael-ritz/eudat.accounting.client | 19ebf95aaa2081691534b82bc1bbe8860c8ef3d6 | [
"BSD-2-Clause"
] | 3 | 2017-12-14T09:23:24.000Z | 2018-01-02T11:01:46.000Z | # -*- coding: utf-8 -*-
"""
=======================
eudat.accounting.client
=======================
Command line handling
"""
import logging
import sys
from eudat.accounting.client import LOG
def main(argv=sys.argv):
"""Main function called from console command
"""
logging.basicConfig(filename='.account... | 37.798165 | 91 | 0.517476 | # -*- coding: utf-8 -*-
"""
=======================
eudat.accounting.client
=======================
Command line handling
"""
import argparse
import logging
import sys
from eudat.accounting.client import __version__, LOG, utils
def main(argv=sys.argv):
"""Main function called from console command
"""
l... | 0 | 0 | 0 | 3,352 | 0 | 0 | 0 | 14 | 46 |
ec5e83bd6922d19c238d9afdbdfca2bc35aebb8b | 1,007 | py | Python | LeetCode_SortMatrixDiagonally.py | amukher3/Problem_solutions | 8fa6014a91f295d08cafb989024caa91d99211d9 | [
"Apache-2.0"
] | 1 | 2021-12-28T08:58:51.000Z | 2021-12-28T08:58:51.000Z | LeetCode_SortMatrixDiagonally.py | amukher3/Coding | a330cb04b5dd5cc1c3cf69249417a71586441bc7 | [
"Apache-2.0"
] | null | null | null | LeetCode_SortMatrixDiagonally.py | amukher3/Coding | a330cb04b5dd5cc1c3cf69249417a71586441bc7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 7 17:47:42 2020
@author: Abhishek Mukherjee
"""
| 30.515152 | 69 | 0.431976 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 7 17:47:42 2020
@author: Abhishek Mukherjee
"""
class Solution:
def diagonalSort(self, mat: List[List[int]]) -> List[List[int]]:
temp=[]
tempDict={}
for i in range(len(mat)):
for j in range(len(mat[0])):
... | 0 | 0 | 0 | 863 | 0 | 0 | 0 | 0 | 25 |
46265a6ff1864cb53a4854d14333ba9d2e820115 | 34,044 | py | Python | devilry/devilry_deadlinemanagement/tests/test_manage_deadline_view_admin.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | null | null | null | devilry/devilry_deadlinemanagement/tests/test_manage_deadline_view_admin.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | null | null | null | devilry/devilry_deadlinemanagement/tests/test_manage_deadline_view_admin.py | aless80/devilry-django | 416c262e75170d5662542f15e2d7fecf5ab84730 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
| 57.506757 | 134 | 0.706527 | # -*- coding: utf-8 -*-
import mock
from django import test
from django import http
from django.conf import settings
from django.utils import timezone
from django_cradmin import cradmin_testhelpers
from model_mommy import mommy
from devilry.devilry_account import models as account_models
from devilry.apps.core impor... | 0 | 0 | 0 | 32,929 | 0 | 0 | 0 | 424 | 653 |
a9dbf5cd9f0d3093ddbc52c72fda75d565dc84af | 919 | py | Python | my-cs/projects_util/py_vm_benchmarks/delete_key.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | my-cs/projects_util/py_vm_benchmarks/delete_key.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null | my-cs/projects_util/py_vm_benchmarks/delete_key.py | zaqwes8811/cs-courses | aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2 | [
"Apache-2.0"
] | null | null | null |
def benchmark_delete_key():
"""
http://docs.python.org/2/library/collections.html
"""
import timeit
code = """
results = {'A': 1, 'B': 2, 'C': 3}
del results['A']
del results['B']
"""
print timeit.timeit(code, number=100000)
code = """
results = {'A': 1, 'B': 2, 'C':... | 21.372093 | 68 | 0.511425 |
def benchmark_delete_key():
"""
http://docs.python.org/2/library/collections.html
"""
import timeit
code = """
results = {'A': 1, 'B': 2, 'C': 3}
del results['A']
del results['B']
"""
print timeit.timeit(code, number=100000)
code = """
results = {'A': 1, 'B': 2, 'C':... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b7136d6f361a9fb3f543e1071683989ae2df5b2a | 8,592 | py | Python | db_api/tests.py | nchibana/yelp-dataset-challenge-2-ds | 394229573f7677cfd5d876c68f20cca048d925ee | [
"MIT"
] | 2 | 2019-11-06T01:00:00.000Z | 2019-12-05T17:29:27.000Z | db_api/tests.py | AkiBae4891/yelp-dataset-challenge-2-ds | fa7cace65e502e335bdb804519e2b3ec5b6e77c6 | [
"MIT"
] | 20 | 2019-11-12T00:33:46.000Z | 2019-12-12T12:33:54.000Z | db_api/tests.py | AkiBae4891/yelp-dataset-challenge-2-ds | fa7cace65e502e335bdb804519e2b3ec5b6e77c6 | [
"MIT"
] | 6 | 2019-11-08T14:11:49.000Z | 2021-08-02T02:42:13.000Z | import requests
import json
## Test Helper Functions (from snippets - may be old. See snippets for up-to-date functions.)
def generate_id(record):
"""Generate ID returns a repeatable hash of a given record.
param record: python string, list, or dictionary, pandas.series
type record: string
"""
i... | 30.360424 | 102 | 0.643622 | import requests
import numpy as np
import hashlib
import json
import pandas as pd
import time
from multiprocessing import Pool
## Test Helper Functions (from snippets - may be old. See snippets for up-to-date functions.)
def generate_id(record):
"""Generate ID returns a repeatable hash of a given record.
pa... | 0 | 0 | 0 | 0 | 0 | 1,093 | 0 | -21 | 186 |
ed027c5fae957241bbe90fc66fc97b9c4321c067 | 4,441 | py | Python | vcli/tests/unit_tests/cmd/test_dns_command.py | vertica/vertica-accelerator-cli | 706925f58a4bfc2876903396db72363f673be76a | [
"Apache-2.0"
] | null | null | null | vcli/tests/unit_tests/cmd/test_dns_command.py | vertica/vertica-accelerator-cli | 706925f58a4bfc2876903396db72363f673be76a | [
"Apache-2.0"
] | null | null | null | vcli/tests/unit_tests/cmd/test_dns_command.py | vertica/vertica-accelerator-cli | 706925f58a4bfc2876903396db72363f673be76a | [
"Apache-2.0"
] | null | null | null | #
# (c) Copyright 2021 Micro Focus or one of its affiliates.
#
| 34.426357 | 102 | 0.674172 | #
# (c) Copyright 2021 Micro Focus or one of its affiliates.
#
import unittest
import pytest
import json
from unittest.mock import patch, MagicMock
from vcli.cmd.dns_command import DNSCommand
from vcli.util.static_params import (
VAAS_MODULES
)
from vcli.constant import RETURN_CODE_SUCCESS
class DNSCommandTest... | 0 | 3,685 | 0 | 434 | 0 | 0 | 0 | 78 | 179 |
807cb7e20edb9a7e32b2c56de3b071ec2f99101b | 6,094 | py | Python | openstack_dashboard/plugins/urls.py | griddynamics/osc-robot-openstack-dashboard | 93bafcf0c35ef6bd0e5a0a4434b222befa940e27 | [
"Apache-2.0"
] | 3 | 2015-05-18T13:49:44.000Z | 2015-05-18T14:38:13.000Z | openstack_dashboard/plugins/urls.py | griddynamics/osc-robot-openstack-dashboard | 93bafcf0c35ef6bd0e5a0a4434b222befa940e27 | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/plugins/urls.py | griddynamics/osc-robot-openstack-dashboard | 93bafcf0c35ef6bd0e5a0a4434b222befa940e27 | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2011 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2011 Fourth Paradigm Development, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "Licen... | 37.617284 | 136 | 0.679685 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2011 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2011 Fourth Paradigm Development, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "Licen... | 0 | 0 | 0 | 3,221 | 0 | 0 | 0 | 18 | 68 |
5f4772b396bd13a271f44dfb42ae5d960c0b9a8d | 4,351 | py | Python | recipes/Python/439319_Shuffle_Merge_Files/recipe-439319.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/439319_Shuffle_Merge_Files/recipe-439319.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/439319_Shuffle_Merge_Files/recipe-439319.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | #!/usr/bin/python
"""
NAME
shuffle-merge -- shuffle-merge text files
SYNOPSIS
%(progname)s [OPTIONS] <File Name Prefix>
DESCRIPTION
shuffle-merge merges a number of text files. The order of merging is
selected with a random policy.
OPTIONS:
Arguments:
--help
Print a summary of th... | 27.19375 | 84 | 0.550448 | #!/usr/bin/python
"""
NAME
shuffle-merge -- shuffle-merge text files
SYNOPSIS
%(progname)s [OPTIONS] <File Name Prefix>
DESCRIPTION
shuffle-merge merges a number of text files. The order of merging is
selected with a random policy.
OPTIONS:
Arguments:
--help
Print a summary of th... | 0 | 0 | 0 | 0 | 0 | 846 | 0 | 0 | 47 |
05b1fa32288e3968e975c229ef70ef377470b2c4 | 3,975 | py | Python | experiments/histology/dqn_struct.py | Denbergvanthijs/imbDRLAppendix | 2bc810366b5793abdb47fbe110caf0936c0c9f28 | [
"Apache-2.0"
] | null | null | null | experiments/histology/dqn_struct.py | Denbergvanthijs/imbDRLAppendix | 2bc810366b5793abdb47fbe110caf0936c0c9f28 | [
"Apache-2.0"
] | null | null | null | experiments/histology/dqn_struct.py | Denbergvanthijs/imbDRLAppendix | 2bc810366b5793abdb47fbe110caf0936c0c9f28 | [
"Apache-2.0"
] | 3 | 2021-01-22T14:53:55.000Z | 2021-10-08T16:44:11.000Z | import argparse
import csv
from imbDRL.agents.ddqn import TrainDDQN
from imbDRL.data import get_train_test_val
from imbDRL.metrics import classification_metrics, network_predictions
from imbDRL.utils import imbalance_ratio
from sklearn.model_selection import train_test_split
from tensorflow import keras
from tensorflo... | 44.662921 | 140 | 0.718491 | import argparse
import csv
from imbDRL.agents.ddqn import TrainDDQN
from imbDRL.data import get_train_test_val
from imbDRL.metrics import classification_metrics, network_predictions
from imbDRL.utils import imbalance_ratio
from sklearn.model_selection import train_test_split
from tensorflow import keras
from tensorflo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
add57e3fff8b2ed7715fdebb0e7cd1fdf0f038fe | 6,930 | py | Python | tutorials/example_pytorch_yolov5n.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | tutorials/example_pytorch_yolov5n.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | tutorials/example_pytorch_yolov5n.py | eladc-git/model_optimization | 46d1c893ca23e61d8ef7597184ad2ba6e2ae6e7a | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 42 | 156 | 0.59798 | # Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 0 | 0 | 0 | 2,076 | 0 | 591 | 0 | 98 | 317 |
de79376c1e2dd28fee8ecee34aedcb02001f68e0 | 11,654 | py | Python | QMapUtil.py | pradeep021096/QMap | 617251d743368e833cfb0e39d8a444b41822dc3c | [
"MIT"
] | 4 | 2021-02-16T09:19:35.000Z | 2021-02-17T09:59:30.000Z | QMapUtil.py | pradeep021096/qMaps | 617251d743368e833cfb0e39d8a444b41822dc3c | [
"MIT"
] | null | null | null | QMapUtil.py | pradeep021096/qMaps | 617251d743368e833cfb0e39d8a444b41822dc3c | [
"MIT"
] | 2 | 2021-02-22T11:09:05.000Z | 2021-05-14T11:41:53.000Z | # ==============================================================================================================
# MIT License
# Copyright (c) 2020 Pradeep Kumar
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), t... | 32.016484 | 139 | 0.587524 | # ==============================================================================================================
# MIT License
# Copyright (c) 2020 Pradeep Kumar
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), t... | 0 | 5,048 | 0 | 4,529 | 0 | 483 | 0 | -11 | 166 |
966c9caf3401e29fe1b0e820c6dbe22fad1da910 | 1,453 | py | Python | tests/test_wait.py | Puneethnaik/awaitwhat | 41254780191cb77a32fe420d697455bac8b14c64 | [
"MIT"
] | 45 | 2019-08-12T12:15:52.000Z | 2022-03-03T13:27:13.000Z | tests/test_wait.py | Puneethnaik/awaitwhat | 41254780191cb77a32fe420d697455bac8b14c64 | [
"MIT"
] | 27 | 2019-08-16T06:32:16.000Z | 2021-07-14T12:15:04.000Z | tests/test_wait.py | Puneethnaik/awaitwhat | 41254780191cb77a32fe420d697455bac8b14c64 | [
"MIT"
] | 9 | 2019-09-14T02:05:00.000Z | 2021-06-22T04:14:01.000Z | import awaitwhat.wait
| 24.216667 | 63 | 0.594632 | import asyncio
import pytest
import awaitwhat.wait
import awaitwhat.blocker
from awaitwhat.stack import task_get_stack
async def a():
await asyncio.wait(b(), timeout=123)
async def b():
await asyncio.sleep(42)
async def debug():
t = asyncio.create_task(a())
await asyncio.sleep(0.11)
stack = ta... | 0 | 1,046 | 168 | 0 | 0 | 0 | 0 | 9 | 203 |
36595e49a4a6407acc4cea3b50a213759b89808b | 267 | py | Python | show_photo.py | Monologuethl/Unet-CT-us | 8829c7833ff868f476d29ee6756bb008788b3b18 | [
"MIT"
] | null | null | null | show_photo.py | Monologuethl/Unet-CT-us | 8829c7833ff868f476d29ee6756bb008788b3b18 | [
"MIT"
] | null | null | null | show_photo.py | Monologuethl/Unet-CT-us | 8829c7833ff868f476d29ee6756bb008788b3b18 | [
"MIT"
] | null | null | null | import cv2
import matplotlib.pyplot as plt
img = cv2.imread(r'D:\TONG\PycharmProjects\Unet-US\data\membrane\train\label\0.png')
# R = img[:, :, 2]
# cv2.imshow("img", img)
# cv2.waitKey(0)
plt.imshow(img)
plt.show()
plt.hist(img.ravel(), 256, [0, 256])
plt.show()
| 19.071429 | 84 | 0.674157 | import cv2
import matplotlib.pyplot as plt
img = cv2.imread(r'D:\TONG\PycharmProjects\Unet-US\data\membrane\train\label\0.png')
# R = img[:, :, 2]
# cv2.imshow("img", img)
# cv2.waitKey(0)
plt.imshow(img)
plt.show()
plt.hist(img.ravel(), 256, [0, 256])
plt.show()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7ca5fd55b0f38e852fbc5d0e09caf4d119586ae0 | 1,096 | py | Python | Theme_1_Baseline/Scenario_1B_CoreVariable_Strings/utilities.py | ocefpaf/system-test | 9e435524b96dcdcb7a2e5dccb8be8ead0f35a547 | [
"Unlicense"
] | null | null | null | Theme_1_Baseline/Scenario_1B_CoreVariable_Strings/utilities.py | ocefpaf/system-test | 9e435524b96dcdcb7a2e5dccb8be8ead0f35a547 | [
"Unlicense"
] | null | null | null | Theme_1_Baseline/Scenario_1B_CoreVariable_Strings/utilities.py | ocefpaf/system-test | 9e435524b96dcdcb7a2e5dccb8be8ead0f35a547 | [
"Unlicense"
] | null | null | null |
service_mapping = {
"odp" : "opendap"
}
| 30.444444 | 125 | 0.573905 | from IPython.core.display import HTML
def css_styles():
return HTML("""
<style>
.info {
background-color: #fcf8e3; border-color: #faebcc; border-left: 5px solid #8a6d3b; padding: 0.5em; color: #8a6d3b;
}
.success {
background-color: #d9edf7; border-color: #bce... | 0 | 0 | 0 | 0 | 0 | 966 | 0 | 16 | 67 |
bc25325884a29578864f507707aa25a3214e1145 | 1,779 | py | Python | tasks/hackers-pc/gen.py | irdkwmnsb/lkshl-ctf | e5c0200ddc8ba73df5f321b87b9763fb1bbaba57 | [
"MIT"
] | 3 | 2021-03-30T06:27:58.000Z | 2021-04-03T17:56:35.000Z | tasks/hackers-pc/gen.py | irdkwmnsb/lkshl-ctf | e5c0200ddc8ba73df5f321b87b9763fb1bbaba57 | [
"MIT"
] | null | null | null | tasks/hackers-pc/gen.py | irdkwmnsb/lkshl-ctf | e5c0200ddc8ba73df5f321b87b9763fb1bbaba57 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
BASE_PORT = 36000
if __name__ == '__main__':
main()
| 25.056338 | 75 | 0.536818 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from tqdm import tqdm
import teams_and_flags
import os
import subprocess as sp
BASE_PORT = 36000
def sh(*args, sudo=False, env=True, fatal=True):
if sudo:
print('Requesting sudo privileges for command:')
print(' ' + ' '.join(args))
... | 0 | 0 | 0 | 0 | 0 | 1,466 | 0 | -20 | 228 |
21df1235de33c19f7c20f8f74ca102c1cccdf3e1 | 3,028 | py | Python | locan/data/region_utils.py | super-resolution/Locan | 94ed7759f7d7ceddee7c7feaabff80010cfedf30 | [
"BSD-3-Clause"
] | 8 | 2021-11-25T20:05:49.000Z | 2022-03-27T17:45:00.000Z | locan/data/region_utils.py | super-resolution/Locan | 94ed7759f7d7ceddee7c7feaabff80010cfedf30 | [
"BSD-3-Clause"
] | 4 | 2021-12-15T22:39:20.000Z | 2022-03-11T17:35:34.000Z | locan/data/region_utils.py | super-resolution/Locan | 94ed7759f7d7ceddee7c7feaabff80010cfedf30 | [
"BSD-3-Clause"
] | 1 | 2022-03-22T19:53:13.000Z | 2022-03-22T19:53:13.000Z | """
Utility functions for working with regions.
See Also
--------
:func:`locan.data.filter.select_by_region`
:func:`locan.data.properties.misc.distance_to_region`
:func:`locan.data.properties.misc.distance_to_region_boundary`
"""
from shapely.ops import unary_union
from locan.data.region import EmptyRegion, Region2D... | 29.980198 | 113 | 0.683289 | """
Utility functions for working with regions.
See Also
--------
:func:`locan.data.filter.select_by_region`
:func:`locan.data.properties.misc.distance_to_region`
:func:`locan.data.properties.misc.distance_to_region_boundary`
"""
from shapely.ops import unary_union
from locan.data.region import EmptyRegion, Region, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 |
915f71f30f7302f5219ebe6502ce285534b8f078 | 1,258 | py | Python | syncmanagerapi/tests/setup.py | Frie-man/syncmanager | f76e36f85ea68ab177a9ffd50dfff033ae0fc8f6 | [
"MIT"
] | null | null | null | syncmanagerapi/tests/setup.py | Frie-man/syncmanager | f76e36f85ea68ab177a9ffd50dfff033ae0fc8f6 | [
"MIT"
] | null | null | null | syncmanagerapi/tests/setup.py | Frie-man/syncmanager | f76e36f85ea68ab177a9ffd50dfff033ae0fc8f6 | [
"MIT"
] | null | null | null |
SYNC_ADMIN = "syncman"
SYNC_ADMIN_PASSWORD = "pw1234"
USER = "eggs"
USER_PASSWORD = "secret"
USER_CLIENT_ENV = "intregationtest"
| 26.765957 | 107 | 0.72814 | from requests.auth import _basic_auth_str
SYNC_ADMIN = "syncman"
SYNC_ADMIN_PASSWORD = "pw1234"
USER = "eggs"
USER_PASSWORD = "secret"
USER_CLIENT_ENV = "intregationtest"
def create_admin(runner):
runner.invoke(args=['admin-create', '--name', SYNC_ADMIN, '--password', SYNC_ADMIN_PASSWORD])
def get_admin_basic... | 0 | 0 | 0 | 0 | 0 | 941 | 0 | 20 | 160 |
b25be4ce54888747fad471883fd2dbd805b1b15b | 4,103 | py | Python | manhattan.py | wissemzaghdoudi/sys_recomandation | 4653b595592426c26a11199f70ef7f8ddc105136 | [
"Apache-2.0"
] | 1 | 2021-05-21T10:55:12.000Z | 2021-05-21T10:55:12.000Z | manhattan.py | wissemzaghdoudi/sys_recomandation | 4653b595592426c26a11199f70ef7f8ddc105136 | [
"Apache-2.0"
] | null | null | null | manhattan.py | wissemzaghdoudi/sys_recomandation | 4653b595592426c26a11199f70ef7f8ddc105136 | [
"Apache-2.0"
] | null | null | null |
if __name__ == '__main__':
testInstance = [[0.51, 0.50], [0.1, 0.9], [0.4, 0.3]]
k = 3
# AND GATE
trainSetAND_GATE = [[0.0, 0.0, 0], [1.0, 1.0, 1], [0.0, 1.0, 0], [1.0, 0.0, 0]]
print("<-......................By applying AND Gate..................>\n")
main(trainSetAND_GA... | 37.642202 | 122 | 0.588837 | import math
import operator
def euclideanDistance(testInstance, trainInstance, length):
distance = 0
for x in range(length):
distance += pow((testInstance[x] - trainInstance[x]), 2)
return math.sqrt(distance)
def manhattan(testInstance, trainInstance, length):
# formula is: dista... | 0 | 0 | 0 | 0 | 0 | 3,368 | 0 | -16 | 221 |
bb50dd1f7f6fc4cd13fecc3aa3adf3c000c85c10 | 1,799 | py | Python | python/flask/app/blueprint.py | kskumgk63/trace-examples | 1de45b351aa03367c745933b4923f07d436aea3e | [
"BSD-3-Clause"
] | 75 | 2017-03-20T12:17:14.000Z | 2022-03-24T02:55:53.000Z | python/flask/app/blueprint.py | kskumgk63/trace-examples | 1de45b351aa03367c745933b4923f07d436aea3e | [
"BSD-3-Clause"
] | 25 | 2017-05-10T18:21:20.000Z | 2022-01-28T18:36:52.000Z | python/flask/app/blueprint.py | kskumgk63/trace-examples | 1de45b351aa03367c745933b4923f07d436aea3e | [
"BSD-3-Clause"
] | 54 | 2017-05-10T18:13:52.000Z | 2022-01-11T21:04:42.000Z | from ddtrace import Pin
from flask import Blueprint
# Create a new Blueprint
bp = Blueprint('bp', __name__, url_prefix='/bp/')
# Just showing that we can override the service set for this blueprint
Pin.override(bp, service='flask-bp', app='flask', app_type='web')
# Hook to run before each blueprint request
# Hoo... | 23.064103 | 70 | 0.757643 | from ddtrace import Pin
from flask import abort, Blueprint, render_template_string
from .limiter import limiter
# Create a new Blueprint
bp = Blueprint('bp', __name__, url_prefix='/bp/')
# Just showing that we can override the service set for this blueprint
Pin.override(bp, service='flask-bp', app='flask', app_type... | 0 | 786 | 0 | 0 | 0 | 0 | 0 | 38 | 243 |
d3645ca28e74bd942584ef2afe78208d3a88e4d5 | 243 | py | Python | Python/accountant1/delete me/Expense.py | Fornost461/drafts | 39f56fb16ebf206077e5f8617741aa93623195af | [
"CC0-1.0"
] | null | null | null | Python/accountant1/delete me/Expense.py | Fornost461/drafts | 39f56fb16ebf206077e5f8617741aa93623195af | [
"CC0-1.0"
] | null | null | null | Python/accountant1/delete me/Expense.py | Fornost461/drafts | 39f56fb16ebf206077e5f8617741aa93623195af | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python3
| 24.3 | 72 | 0.646091 | #!/usr/bin/env python3
class Transaction:
def __init__(self, amount, account, description="", date, category):
self.amount = amount
self.description = description
self.date = date
self.category = category
| 0 | 0 | 0 | 197 | 0 | 0 | 0 | 0 | 23 |
a1581b0131e10eb2027e2ba52b62eac4bcdd7c1a | 802 | py | Python | 1.3/e1_3_19_kary.py | garryyes/python-learning | 0071efd11ffc8f8cf0938a14b3e02518c7fdf99d | [
"MIT"
] | null | null | null | 1.3/e1_3_19_kary.py | garryyes/python-learning | 0071efd11ffc8f8cf0938a14b3e02518c7fdf99d | [
"MIT"
] | null | null | null | 1.3/e1_3_19_kary.py | garryyes/python-learning | 0071efd11ffc8f8cf0938a14b3e02518c7fdf99d | [
"MIT"
] | null | null | null | '''
Modify binary.py to create a program kary.py that takes i and k as command-line arguments and converts i to base k. Assume that k is an integer between 2 and 16. For bases greater than 10, use the letters A through F to represent the 11th through 16th digits, respectively.
'''
# convert i to base k
import sys
i = f... | 26.733333 | 273 | 0.63591 | '''
Modify binary.py to create a program kary.py that takes i and k as command-line arguments and converts i to base k. Assume that k is an integer between 2 and 16. For bases greater than 10, use the letters A through F to represent the 11th through 16th digits, respectively.
'''
# convert i to base k
import sys
i = f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e639cb9183c732e0d96301c79283928373848452 | 20,730 | py | Python | chp5/blackjack.py | leyuanheart/Reinforcement_Learning_An_Introduction | 95500ebcb0430c5d08181652baec8efa0b45b356 | [
"MIT"
] | 4 | 2021-07-24T15:35:30.000Z | 2021-09-02T01:07:28.000Z | chp5/blackjack.py | leyuanheart/Reinforcement_Learning_An_Introduction | 95500ebcb0430c5d08181652baec8efa0b45b356 | [
"MIT"
] | 1 | 2021-07-24T15:41:19.000Z | 2021-07-24T15:41:19.000Z | chp5/blackjack.py | leyuanheart/Reinforcement_Learning_An_Introduction | 95500ebcb0430c5d08181652baec8efa0b45b356 | [
"MIT"
] | 2 | 2021-07-24T15:36:16.000Z | 2021-07-25T01:14:46.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 15 14:10:52 2021
@author: leyuan
reference:
https://github.com/ShangtongZhang/reinforcement-learning-an-introduction/blob/master/chapter05/blackjack.py
https://github.com/dennybritz/reinforcement-learning/blob/master/lib/envs/blackjack.py
"""
import numpy as np
... | 27.788204 | 227 | 0.606802 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 15 14:10:52 2021
@author: leyuan
reference:
https://github.com/ShangtongZhang/reinforcement-learning-an-introduction/blob/master/chapter05/blackjack.py
https://github.com/dennybritz/reinforcement-learning/blob/master/lib/envs/blackjack.py
"""
import time
import... | 660 | 0 | 0 | 0 | 0 | 10,077 | 0 | -2 | 384 |
1e94697fa92f42fa1ad8ec2e74b430655d093edc | 7,677 | py | Python | pyutils/load.py | rfmanz/pyutils | f522ec18879d48c3cabfddfd21c83b0387d8f95a | [
"MIT"
] | null | null | null | pyutils/load.py | rfmanz/pyutils | f522ec18879d48c3cabfddfd21c83b0387d8f95a | [
"MIT"
] | null | null | null | pyutils/load.py | rfmanz/pyutils | f522ec18879d48c3cabfddfd21c83b0387d8f95a | [
"MIT"
] | null | null | null | import pandas as pd
import datatable as dt
import zipfile
import re
import os
import time
from datetime import timedelta
import sys
def directory(directory_path):
"""Puts you in the right directory. Gives you list of files in path"""
os.chdir(re.findall("^(.*[\\\/])", directory_path)[0])
csv_files = os.l... | 41.497297 | 116 | 0.446138 | import pandas as pd
import datatable as dt
import zipfile
import re
import os
import time
from datetime import timedelta
import sys
def pd_options():
desired_width = 300
pd.set_option('display.width', desired_width)
pd.set_option('display.max_columns', None)
import warnings
warnings.filterwarnings... | 0 | 0 | 0 | 0 | 0 | 522 | 0 | 0 | 46 |
466b878167776360a81e33ee0828c2c2033b54c1 | 1,984 | py | Python | vezba03/v3/v3/v3.py | acorovic/Projek | 66d67823e618e133484c7e690c86190d9b50cfae | [
"MIT"
] | null | null | null | vezba03/v3/v3/v3.py | acorovic/Projek | 66d67823e618e133484c7e690c86190d9b50cfae | [
"MIT"
] | null | null | null | vezba03/v3/v3/v3.py | acorovic/Projek | 66d67823e618e133484c7e690c86190d9b50cfae | [
"MIT"
] | 1 | 2017-03-17T07:50:18.000Z | 2017-03-17T07:50:18.000Z | import time
A = HeapClass()
buildMaxHeap(A)
# A is a max priorityQueue
while(A.heapsize >= 1):
sleepTime = heapExtractMax(A)
if(time != None):
print("Task with duration: ", sleepTime, " is in progress")
time.sleep(sleepTime)
print("All tasks finished");
| 22.545455 | 69 | 0.53125 | import math
import time
def parentH(i):
return math.floor(i/2)
def left(i):
return 2*i
def right(i):
return 2*i + 1
def maxHeapify(A,i):
l = left(i)
r = right(i)
if l <= A.heapsize and A.heap[l] > A.heap[i]:
largest = l
else:
largest = i
if r <= A.h... | 0 | 0 | 0 | 90 | 0 | 1,313 | 0 | -10 | 298 |
82f0553283701a8f16603935ad68ad981746d5bc | 25,389 | py | Python | state-of-the-data-for-webgis/sotd_indicators/Indicator.py | ngageoint/state-of-the-data | 59bd91d5108c04c9fb57caa0be542b53cfd0b07a | [
"MIT"
] | 18 | 2017-09-18T14:47:40.000Z | 2022-02-03T23:43:34.000Z | state-of-the-data-for-webgis/sotd_indicators/Indicator.py | ngageoint/state-of-the-data | 59bd91d5108c04c9fb57caa0be542b53cfd0b07a | [
"MIT"
] | 13 | 2017-10-10T16:12:28.000Z | 2018-12-14T19:47:54.000Z | state-of-the-data-for-webgis/sotd_indicators/Indicator.py | ngageoint/state-of-the-data | 59bd91d5108c04c9fb57caa0be542b53cfd0b07a | [
"MIT"
] | 8 | 2017-09-21T20:09:54.000Z | 2019-02-22T17:24:37.000Z |
import ssl
ssl._create_default_https_context = ssl._create_unverified_context | 31.267241 | 117 | 0.482217 | from sotd_indicators.indicators import *
from arcgis.gis import GIS
from arcgis.geometry import Geometry, filters
import configparser
import time
import datetime
import shutil
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
class Indicator:
def __init__(self):
# GIS Resou... | 0 | 0 | 0 | 25,110 | 0 | 0 | 0 | 22 | 179 |
409b23608276a924a1148781980d949261d95496 | 2,433 | py | Python | nicos_demo/vspodi/setups/detector.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | nicos_demo/vspodi/setups/detector.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | nicos_demo/vspodi/setups/detector.py | jkrueger1/nicos | 5f4ce66c312dedd78995f9d91e8a6e3c891b262b | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | description = 'Virtual SPODI detector'
group = 'lowlevel'
devices = dict(
mon = device('nicos.devices.generic.VirtualCounter',
description = 'Simulated MON1',
fmtstr = '%d',
type = 'monitor',
visibility = (),
),
tim1 = device('nicos.devices.generic.VirtualTimer',
de... | 29.670732 | 79 | 0.553226 | description = 'Virtual SPODI detector'
group = 'lowlevel'
devices = dict(
mon = device('nicos.devices.generic.VirtualCounter',
description = 'Simulated MON1',
fmtstr = '%d',
type = 'monitor',
visibility = (),
),
tim1 = device('nicos.devices.generic.VirtualTimer',
de... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a80c43a28774cfc1d5ad44a3e2b3a531dc0b3381 | 1,030 | py | Python | examples/python_django/manage.py | GravityID/didkit | c5c422f2469c2c5cc2f6e6d8746e95b552fce3ed | [
"Apache-2.0"
] | 116 | 2021-01-27T21:45:47.000Z | 2022-03-31T07:30:12.000Z | examples/python_django/manage.py | GravityID/didkit | c5c422f2469c2c5cc2f6e6d8746e95b552fce3ed | [
"Apache-2.0"
] | 154 | 2021-01-27T20:49:00.000Z | 2022-03-24T20:20:26.000Z | examples/python_django/manage.py | GravityID/didkit | c5c422f2469c2c5cc2f6e6d8746e95b552fce3ed | [
"Apache-2.0"
] | 27 | 2021-01-29T09:30:51.000Z | 2022-02-20T06:09:15.000Z | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import errno
import os
import sys
import didkit
flags = os.O_CREAT | os.O_EXCL | os.O_WRONLY
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'python_django.settings')
try:
... | 27.105263 | 77 | 0.645631 | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import errno
import os
import sys
import didkit
flags = os.O_CREAT | os.O_EXCL | os.O_WRONLY
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'python_django.settings')
try:
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |