blob_id large_string | repo_name large_string | path large_string | src_encoding large_string | length_bytes int64 | score float64 | int_score int64 | detected_licenses large list | license_type large_string | text string | download_success bool |
|---|---|---|---|---|---|---|---|---|---|---|
3b700ff80eb5d49cfa868bf79bd6d16ba08241c4 | SleepingMonster/DQN | /PER+Dueling DQN/utils_memory.py | UTF-8 | 6,119 | 2.75 | 3 | [] | no_license | from typing import (
Tuple,
)
import torch
import numpy as np
import random
from utils_types import (
BatchAction,
BatchDone,
BatchNext,
BatchReward,
BatchState,
TensorStack5,
TorchDevice,
)
class Tree(object):
data_pointer = 0
#存经验的下标和对应的优先级在树中
def __init__(self,chan... | true |
111421cff1576d8a9b956e4bd50067ee0364ee6c | Matias-Bustamante/complejidad | /euclides.py | UTF-8 | 284 | 3.171875 | 3 | [] | no_license | from timeit import default_timer;
inicio=default_timer();
def euclides(M,N):
if N==0:
return M;
else:
res=euclides(N,M%N);
return res;
final=default_timer();
final=final-inicio;
print(euclides(2353,1651), "Tiempo de ejecucion: %.8f"%final); | true |
a0a48ab4469e94543a520a6f263fc9f69f3f00e4 | karishma0806/best-enlist-internship-of-python | /task10.py | UTF-8 | 355 | 3.515625 | 4 | [] | no_license |
1.
import re
text = input("Enter: ")
result = re.sub("[A-Za-z0-9]", '', text)
if len(result) == 0:
print("Success")
else:
print("Failure")
#2.
import re
a="abcdefghijkABCDlmnopqrstw"
x=re.findall("ab",a)
print(x)
#3.
x=re.search("w",a)
print(x.end())
#4.
x=re.search("bc",a)
print... | true |
e2a24ed2a5a6ff02d0d105b545a5bb4795e8fe51 | uTensor/utensor_cgen | /tests/test_graph_constructor/test_ops/test_op_max.py | UTF-8 | 961 | 2.625 | 3 | [
"Apache-2.0"
] | permissive | import numpy as np
def test_op_max(ugraph):
with ugraph.begin_construction():
tensor_x, = ugraph.add_op(
np.random.rand(3, 5, 9, 2).astype('float32'),
op_type='Const',
name='x'
)
tensor_out1, = ugraph.add_op(
tensor_x,
op_type='Ma... | true |
0c5e8b46431a678c9a11d390e407f45effada667 | Pratster95/Python-Code | /Exception.py | UTF-8 | 367 | 3.328125 | 3 | [] | no_license | def get_ratios(L1,L2):
ratios=[]
for index in range(len(L1)):
try:
ratios.append(L1[index]/L2[index])
except ZeroDivisionError:
ratios.append(float('nan'))
except:
raise ValueError('get_ratios called with bad argument')
return print (ratios)
L... | true |
87cc41c721088f8abab5debb8b286f6a7bc80307 | anish-bardhan/dfsbfs | /unit_1/arrprac.py | UTF-8 | 233 | 3.015625 | 3 | [] | no_license | arr = ["mark", "teddy", "fer", "navi", "duncan", "matt"]
for friend in arr:
if friend == "matt":
print(friend,"you're invite got lost in the mail.")
else:
print("Hey,", friend, "where should we go to lunch?")
| true |
13c856911e47d4bceaf465efd49e5d7e1d2d403f | Primakovski/dailyplaylist | /dailyplaylist.py | UTF-8 | 2,285 | 2.546875 | 3 | [] | no_license | import os
from urllib.parse import urlparse, parse_qs
import re
from flask import Flask, redirect
from slackclient import SlackClient
app = Flask(__name__)
SLACK_TOKEN = os.environ.get('SLACK_TOKEN')
CHANNEL_ID = os.environ.get('CHANNEL_ID')
NUMBER_OF_MESSAGES = 1000
YOUTUBE_VIDEO_ID_LEN = 11
def get_urls_from_te... | true |
1b41b57a617b33a18284a6634c160efaf4cf2090 | AlexandreLamure/TchoupiTeam | /dumb.py | UTF-8 | 803 | 2.515625 | 3 | [] | no_license | from parse import *
import time
import os
param, courses = getfile()
r, c, f, n, b, t = param
def dst(x0, y0, x1, y1):
return abs(y1 - y0) + abs(x1 - x0)
cours = []
x = 0
for i in courses:
cours.append((x, i[4]))
x += 1
cours = sorted(cours, key=lambda x: x[1])
if not os.path.exists("results"):
... | true |
00161c1598f7cddc3217f9b0b0ad17d6156f8661 | anasLearn/AI_ztag | /simulation.py | UTF-8 | 6,210 | 2.890625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 18 10:17:32 2017
@author: aanas / anasLearn / Anas Aamoum
"""
import pylab
import visualize as VS
import playing_field as PF
import player as PL
import functions as FN
import data as DT
def runSimulation(num_of_times, num_zomb_team1 = DT.z1, num_zomb_team2 = DT.... | true |
79c8c7bfedcb1b2d159898a1d3861a5f0bbdfea4 | connorf25/robotics-assignment-2 | /Internal_Pat.py | UTF-8 | 1,448 | 3.09375 | 3 | [] | no_license |
import sys # For cmd arguments
import random
from colorama import init, Fore
import matplotlib.pyplot as plt
from matplotlib.pyplot import text, ylabel, yticks
import numpy as np
import seaborn as sns
unvisited = "U"
open_space = "O"
wall = "H"
start = "S"
goal = "G"
def read_map(fn):
grid = []
with open(fn)... | true |
3356f84ff316a1809e46393416272bf493eb23ab | mc4117/Mariana-Numerical-assignment | /src/plotting_functions.py | UTF-8 | 11,069 | 3.515625 | 4 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Mariana Clare
Functions which plot the solutions found by the numerical schemes (Note these functions
do not plot any analytic solution. For functions comparing analytic solutions and
solutions from numerical methods please see error_functions.py).
"""
impor... | true |
78cf8f15bad6953bc5c1a6b9f26b02c4c5849e11 | tliu57/Leetcode | /Medium/CombinationSumII/test.py | UTF-8 | 808 | 3.125 | 3 | [] | no_license | class Solution(object):
def combinationSum2(self, candidates, target):
res = []
if not candidates or len(candidates)==0:
return res
candidates.sort()
self.combinationSumHelper(candidates, target, 0, [], res)
return res
def combinationSumHelper(self, candidates, target, pos, subsol, res):
if target == ... | true |
4ce393001e3bc0a5ae450526ffbddc89b8aff573 | NicoEssi/Machine_Learning_scikit-learn | /py_files/multiple_linear_regression.py | UTF-8 | 2,264 | 2.734375 | 3 | [
"MIT"
] | permissive | # Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('50_Startups.csv')
X = dataset.iloc[:, :-1]
y = dataset.iloc[:, 4]
# Encode categorical data
X = X.values
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
label... | true |
e01e56cb16b57f94f988e8810fa370054b94e1d5 | lucas-silvs/Curso-Guanabara | /Mundo - 1/Bom dia.py | UTF-8 | 64 | 3.3125 | 3 | [] | no_license | n=input("Digite seu nome\n")
print("Prazer em te conhecer, "+n) | true |
4d3f5852494d3fdf654dd6d62e7d085df456004a | eseisaki/Regression-FGM | /statistics.py | UTF-8 | 2,139 | 2.828125 | 3 | [] | no_license | """ This module concludes all metric functions in order to calculate the network communication"""
from components import MulticastChannel
###############################################################################
#
# Statistics
#
###############################################################################
#... | true |
bf06f36e7bc50de8082861d30ba194aad79e5250 | rawk-v/MLND-projects | /cv-project1-image-caption/model.py | UTF-8 | 3,660 | 2.703125 | 3 | [] | no_license | import torch
import torch.nn as nn
import torchvision.models as models
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
resnet = models.resnet50(pretrained=True)
for param in resnet.parameters():
param.requires_grad_(False)
... | true |
6474a97be4aee86f53312f92d83b89fec6d3137d | ImperialAI-Blockchain-Team/group-project-decentralised | /reactapp/public/model.py | UTF-8 | 1,230 | 3.078125 | 3 | [
"Apache-2.0"
] | permissive | # Please Include an empty line at the start and at the end of your file
import torch
import torch.nn as nn
import pandas as pd
import flower as fl
from typing import Tuple
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
pass
def forward(self, x):
pass
class Lo... | true |
70a215a2978de7ad41f753b86b46d375d64d348b | zcolleen/iot | /functions/test.py | UTF-8 | 384 | 3.40625 | 3 | [] | no_license |
class Test:
def __init__(self, mas):
self.mas = mas
self.test = [[]]
def chenge(self):
self.mas[0][1] = 488
def getMas(self):
return self.mas
mas = [[10, 20], [21, 43], "sdfsdf"]
#print(mas)
#mas.append(200)
#print(mas[2][0])
#print(mas)
test = Test(mas)
#print(len(test.test))
for m in mas[1:]:
pr... | true |
2e8c009c19cc81f0de21eaa1bb80f57a2ee8bb46 | jhwendang/learn_python | /day03/老师课程/函数/函数.py | UTF-8 | 610 | 3.609375 | 4 | [] | no_license | #!/usr/bin/python
# -*- coding:utf-8 -*-
'''
没有函数会有什么问题？
1.无组织无结构，代码冗余
2.可读性差
3.无法统一管理且维护成本高
'''
# 在python中函数分两类：内置函数，自定义函数
#内置函数
# sum
# max
# min
#
# a=len('hello')
# print(a)
#
# b=max([1,2,3])
# print(b)
#自定义函数
# # ******
# # ******
# # ******
# # hello world
# # ******
# # ******
# # ******
#
def print_sta... | true |
806ba442f4dc7f1485c04f3bd29469e2b649dfe7 | lukehorak/pokelitics | /TrainerBattle.py | UTF-8 | 704 | 2.515625 | 3 | [] | no_license | from bs4 import BeautifulSoup as bs
from Trainer import *
def makeLogs(filepath):
match_page = bs(open(filepath), "html.parser").find_all("script", class_="battle-log-data")[0].get_text()
with open("temp.log", "w+") as f:
f.write(match_page)
def parseLine(line):
parsed = line.replace('\n', '')
... | true |
36d02e60bf8fb8f4a92f3532ba9f517f8fc04daa | deanlyoung/raspberry_pi | /Scripts/sound_button.py | UTF-8 | 1,783 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python
import grequests
import PCF8591 as ADC
import RPi.GPIO as GPIO
import LCD1602
import RPi_I2C_driver
import time
BtnPin = 23
mylcd = RPi_I2C_driver.lcd()
base = 'https://maker.ifttt.com/trigger/'
key = 'XXX'
event = 'sound'
isPressed = False
isOn = False
url = sound_maker_url = base + event + ... | true |
79308e512bac01098e6dcd801b221aaf210e5d6d | nathancharlesjones/Downforce-measurement-device | /Software/Host/MCP2221/adc_plus_gps_test.py | UTF-8 | 1,652 | 2.78125 | 3 | [] | no_license | import time
import board
from analogio import AnalogIn
import serial
import matplotlib.pyplot as plt
lightSensor = AnalogIn(board.G1)
port = serial.Serial("/dev/ttyACM0", baudrate=4800, timeout=3.0)
def get_voltage(raw):
return ( raw * 3.3 ) / 65535
plt.ion()
timestamps = []
value = []
counter = 0
... | true |
2a0873c48356d6f94bb9c75ef52bed970865cc68 | strob/bsides | /cluster.py | UTF-8 | 2,287 | 2.515625 | 3 | [] | no_license | # Combine `feat` files and cluster into 15 bins.
import numpy as np
from scipy.cluster.vq import kmeans, vq
import json
import numm
import meap
import os
def cluster(src, key="AvgTonalCentroid(6)", nbins=15, min_volume=-30):
jsonfile = "%s-%s-%d.json" % (src, key, nbins)
if os.path.exists(jsonfile):
... | true |
59fc58da7a3728a44d6c434ef0e4490a851b8a9a | lemontech119/TIL | /algorithm/test/test_1.py | UTF-8 | 290 | 3.078125 | 3 | [] | no_license | def solution(S):
alpha_num = [0] * 26
answer = 0
for alpha in S:
asc = ord(alpha) - 97
alpha_num[asc] += 1
for chk in alpha_num:
if chk % 2 == 1:
answer += 1
return answer
print(solution("aabbbccd"))
print(solution("abebeaedeac")) | true |
f4773f458a3766832063f9b9c7b56728f3fb9b81 | scottbrumley/opendxl-cookbook | /examples/tie_rep_api.py | UTF-8 | 5,464 | 2.75 | 3 | [
"Apache-2.0"
] | permissive | # This sample demonstrates invoking the McAfee Threat Intelligence Exchange
# (TIE) DXL service to retrieve the the reputation of files (as identified
# by their hashes)
import base64
import json
import logging
import os
import sys
from dxlclient.client import DxlClient
from dxlclient.client_config import DxlClientCon... | true |
b0d25c188da83dc00560d9584568edf244889194 | pedrocadahia/NLP | /AKD/summarizer(Cluster_Version).py | UTF-8 | 16,855 | 2.75 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Conexion y Consulta elastisearch
import sys
from elasticsearch import Elasticsearch
from pyspark import SparkConf, SparkContext
from pyspark.sql import SQLContext, HiveContext
# Crear la configuración de spark
conf = (SparkConf()
.setAppName("summarize")
... | true |
b66885db302ca0db6c83641e77b4d0fbe4a95116 | mveselov/CodeWars | /katas/beta/nothing_special.py | UTF-8 | 170 | 2.5625 | 3 | [
"MIT"
] | permissive | from string import punctuation
def nothing_special(s):
try:
return s.translate(None, punctuation)
except AttributeError:
return 'Not a string!'
| true |
56ee57d6cda9427ad7a39938b59f1e3f71831e41 | kostyaby/EventingApp | /EventingLib/Rider.py | UTF-8 | 1,350 | 4 | 4 | [] | no_license | class Rider( object ):
def __init__( self, name = "John Appleseed", ID = 10000000, NF = "USA" ):
self.__name = name
if 10000000 <= ID <= 99999999:
self.__ID = ID
else:
raise ValueError( "ID must be an 8-digit number without leading zeroes!" )
if NF in Natio... | true |
d2b2cc18c74dede20bf33d908611c20acd4f51f2 | Devang-25/acm-icpc | /project-euler/p108.py | UTF-8 | 375 | 3.5 | 4 | [] | no_license | # nx + ny = xy
# (x - n) (y - n) = n^2
def count(n):
result, p = 1, 2
while p * p <= n:
if n % p == 0:
e = 0
while n % p == 0:
e += 1
n /= p
result *= e + e + 1
p += 1
if n > 1:
result *= 3
return (result + 1) ... | true |
efca2b366d027586803ef667a22ce42e8e933525 | JennyHasACat/SeleniumPythonAuto | /common/BasicPage.py | UTF-8 | 2,547 | 2.640625 | 3 | [] | no_license | # coding=utf-8
'''
Created on 2018-06-04
@author: Jenny
'''
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# from common.ParseJson import parseJson
import os
import json
driver = webdriver.Firefox()
base_url = "... | true |
aee6cf1a725d9609059ef2c1270d1e76f72106ca | JCardenasRdz/Quantitative-MRI | /Quantitative_MRI/models.py | UTF-8 | 1,524 | 3.0625 | 3 | [
"MIT"
] | permissive | import numpy as np
def T1_vTR(TR, *args):
"""
Description
----------
Simulate Spin Echo Saturation Recovery Experiment
sig = Mz * (1 - np.exp(-RepTime/T1))
Parameters
----------
TR: float
ndarray of repetition times (TR) in seconds
*args: positional arguments in the follow... | true |
ba1efe1754d8607d1f0bdf73576e85a97a7367fe | JeremyFyke/MPAS-Analysis | /mpas_analysis/test/test_interpolate.py | UTF-8 | 5,345 | 2.59375 | 3 | [] | no_license | """
Unit test infrastructure for horizontal interpolation.
Xylar Asay-Davis
02/25/2017
"""
import pytest
import shutil
import os
import tempfile
import numpy
from mpas_analysis.shared.interpolation import interpolate
from mpas_analysis.test import TestCase, loaddatadir
from mpas_analysis.configuration.MpasAnalysisCo... | true |
e565f2fb66b313546fdcfdfdd37573cae8424172 | mpofukelvintafadzwa/Python-for-Genomic-Data-Science | /gcPercentageFunction.py | UTF-8 | 259 | 3 | 3 | [] | no_license | def gc(dna) :
#This function computes the gc percentage of DNA
numbases = dna.count('n')+dna.count('N')
gcPercent = float(dna.count('c')+dna.count('C')+dna.count('g')+dna.count('G')*100/len(dna)-numbases)
return gcPercent
print(gc('AAAGTNNAGTCC')) | true |
0a965267e09fb2c9f022ec13d5e689fe4ad0cdde | krstoilo/SoftUni-Fundamentals | /Python-Fundamentals/Homeworks-and-labs/lists/seize_the_fire.py | UTF-8 | 965 | 3.640625 | 4 | [] | no_license | fires = input().split('#')
water = int(input())
effort = 0
total_fire = 0
cells_list = []
isValid = False
cell_num = ""
for i in range(len(fires)):
test_str = fires[i]
for char in test_str:
if char.isdigit() == True or char == '-':
cell_num += char
if 'High' in test_str:
if 81... | true |
fe5718c0a8ab19a85441ea55fe048fe44e3bc6d4 | makennamartin97/python-algorithms | /countdown.py | UTF-8 | 385 | 4.46875 | 4 | [] | no_license | # Objectives
# Create a function that accepts a number as an input. Return a new list that
# counts down by one, from the number (as the 0th element) down to 0 (as the
# last element).
#For example, countdown(5) should return [5,4,3,2,1]
def Countdown(n):
new = []
while n >= 0:
new.append(n)
... | true |
db57b64490bfca2fb930ff29a1e0e7313bc88462 | ZhaoGuofang/shwjzf | /shwjzf_feature/Data_extraction.py | UTF-8 | 1,267 | 3 | 3 | [] | no_license | # -*- coding:utf-8 -*-
import numpy as np
import pandas as pd
from sklearn.utils import shuffle
import datetime as dt
import json
'''
国家，罪名二个特征项分析
'''
#读取文件
df = pd.read_csv(r"./shwjzf_.csv", header=0,
delimiter='\t', index_col=0, dtype='object')
# print(df.head())
# 去重后
df = df.drop_duplicates()
#print(df... | true |
64809ff154034ddfdbbf30a39a41463294556ce4 | ioanbsu/copter_bitify | /i2c-sensors/bitify/python/copter/FileUtils.py | UTF-8 | 1,028 | 2.625 | 3 | [
"Apache-2.0"
] | permissive | # !/usr/bin/python
__author__ = 'ivanbahdanau'
import csv
import os
def read_file_data():
global copter_is_on, copter_torque, is_kill, control_force, z_axe_control
copterControlFile = os.environ.get('COPTER_CONTROL_FILE')
with open(copterControlFile, 'rb') as csvfile:
reader = csv.reader(csvfile,... | true |
2f0217f64fe024746405619c36b0435f15d798af | judyliou/LeetCode | /python/1277. Count Square Submatrices with All Ones.py | UTF-8 | 556 | 2.8125 | 3 | [] | no_license | class Solution(object):
def countSquares(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: int
"""
count = 0
for i in range(len(matrix)):
for j in range(len(matrix[0])):
if matrix[i][j] == 0:
continue
... | true |
2467d37f04bb6604a998c4b884c860058d24f40b | Zahidsqldba07/CodeSignal-26 | /The Core/Well of Integration/074 - timedReading.py | UTF-8 | 158 | 2.703125 | 3 | [] | no_license | def timedReading(maxLength, text):
return len([j for j in "".join([i if i in string.ascii_letters else " " for i in text]).split() if len(j)<=maxLength])
| true |
0913ef75e1bc59c97500975a69027db7672cc701 | jknlsn/rexport | /export_helper.py | UTF-8 | 1,975 | 2.8125 | 3 | [
"MIT"
] | permissive | import argparse
from pathlib import Path
import sys
from typing import Sequence
def setup_parser(parser: argparse.ArgumentParser, params: Sequence[str]):
PARAMS_KEY = 'params'
class SetParamsFromFile(argparse.Action):
def __call__(self, parser, namespace, values, option_string=None):
secr... | true |
7833b64492201747f8e88051a13aebafb0e68c5b | bmdaj/ML_2021_Big_Project | /NN_Architecture.py | UTF-8 | 4,921 | 2.796875 | 3 | [] | no_license | import torch
import torch.nn as nn
#%% INVERSE: from frequencies to parameters. Input blocks + FC.
class InverseNN(nn.Module):
def __init__(self,
N_BLOCKS: int,
D_IN: int,
D_HIDDEN_BK: list,
D_HIDDEN_FC: list,
D_OUT: int,
... | true |
8140e42efcc965e3bfc713c6d970f077247278f9 | its-tn10/zendesk-ticket-viewer | /utils.py | UTF-8 | 1,029 | 2.59375 | 3 | [] | no_license | from errors import APIError
import base64, datetime, iso8601, os, requests
def make_request(endpoint):
auth_str = base64.b64encode((os.environ.get('ZENDESK_EMAIL') + '/token:' + os.environ.get('ZENDESK_TOKEN')).encode()).decode()
response = requests.get(os.environ.get('ZENDESK_DOMAIN') + endpoint, heade... | true |
92ca9367b6a2c9c223ef1e5f374874728807688d | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_117/430.py | UTF-8 | 1,909 | 2.984375 | 3 | [] | no_license | #!/usr/local/bin/python2.7
from __future__ import print_function
import unittest
import sys
sin = '''5
3 3
2 1 2
1 1 1
2 1 2
5 5
2 2 2 2 2
2 1 1 1 2
2 1 2 1 2
2 1 1 1 2
2 2 2 2 2
1 3
1 2 1
8 4
1 2 1 2
2 2 2 2
2 1 2 1
2 1 1 1
1 2 2 1
1 2 1 2
1 1 2 1
2 1 2 1
8 7
2 2 2 2 2 2 2
2 2 2 2 2 2 2
2 2 1 2 2 2 2
2 2 2 2 2 2 2
2 ... | true |
43a0c1e596c706448bb40635c3869a28ccadbe8c | bilalikram94/Selenium-Advanced | /drag_and_drop.py | UTF-8 | 1,021 | 2.828125 | 3 | [] | no_license | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
import time
class DragDrop:
def test(self):
baseURL = "http://jqueryui.com/droppable/"
driver = webdriver.Chrome("C:\\Users\\Bilal.Ikram\\PycharmProjects\\firstSeleniumTest\\venv\\... | true |
7eb354b85340aea6e6217404d28c6ba276050bea | SzczotkaKamil/pp1 | /07-ObjectOrientedProgramming/zad5.py | UTF-8 | 558 | 3.5 | 4 | [] | no_license | class Utwory():
def __init__(self,wykonawca,tytul,album,rok):
self.wykonawca=wykonawca
self.tytul=tytul
self.album=album
self.rok=rok
def __str__(self):
return 'Wykonawca: '+self.wykonawca+'\nUtwór: '+self.tytul+'\nAlbum: '+self.album+'\nRok: '+self.rok+'\n'
obie... | true |
2e056241e3f91bf0fc03da17bde71136ce610150 | templeblock/pytoolkit | /pytoolkit/pipeline/sklearn.py | UTF-8 | 3,563 | 2.625 | 3 | [
"MIT"
] | permissive | """scikit-learn"""
from __future__ import annotations
import pathlib
import typing
import numpy as np
import sklearn.base
import pytoolkit as tk
from .core import Model
class SKLearnModel(Model):
"""scikit-learnのモデル。
Args:
estimator: モデル
nfold: cvの分割数
models_dir: 保存先ディレクトリ
... | true |
c6fd60e28a02604ae467eedb968d4029fc932f6e | tnakaicode/jburkardt-python | /test_values/cheby_v_poly_values.py | UTF-8 | 3,354 | 3.03125 | 3 | [] | no_license | #! /usr/bin/env python
#
def cheby_v_poly_values ( n_data ):
#*****************************************************************************80
#
## CHEBY_V_POLY_VALUES returns values of Chebyshev polynomials V(n,x).
#
# Discussion:
#
# In Mathematica, the function can be evaluated by:
#
# u = Sqrt[(x+1)/2],
# ... | true |
72588bd3aab6f2326841ddc3001dc5bcdd758769 | jfrelinger/fcm | /src/statistics/cluster.py | UTF-8 | 15,417 | 2.625 | 3 | [
"BSD-2-Clause"
] | permissive | """
Created on Oct 30, 2009
@author: Jacob Frelinger
"""
from numpy import zeros, outer, sum, eye, array, mean, cov, vstack, std, ones
from numpy.random import multivariate_normal as mvn
from numpy.random import seed
from scipy.cluster import vq
import collections
from dpmix import DPNormalMixture, BEM_DPNormalMixt... | true |
82b3cf09511e6126acea1064651c4fe1c8188956 | rahulj1601/Python | /Project Euler/P10 Sieve of Erasthotenes.py | UTF-8 | 291 | 3.078125 | 3 | [] | no_license | import math
n = 2000000
nums=[]
for each in range(2,n+1):
nums.append(each)
index=-1
p=2
while p <= math.sqrt(n):
index+=1
p=nums[index]
for i in range(p*2,n+1,p):
if i in nums:
nums.remove(i)
total=0
for j in nums:
total+=j
print(total)
| true |
6ee3870c90a3982e5e06c3adc8823dcfcd1d0a9f | Nizametdinov/elastic_const | /elastic_const/elastic_const_computation.py | UTF-8 | 2,695 | 2.78125 | 3 | [] | no_license | import logging
import traceback
from elastic_const import xy_method
from elastic_const import r_method
from elastic_const.derivatives_with_distance import Potential2, Potential3
from elastic_const.crystals import Lattice
def compute_constants_xy_method(max_order, triplet_fem, pair_fem, triplet_fdc, pair_fdc, lattice:... | true |
c9c3a76f5b77481d5d8fcacbb474406414a4ae6f | gato/lana-client | /lana/client.py | UTF-8 | 1,799 | 2.546875 | 3 | [] | no_license |
import requests
class LanaClient():
def __init__(self, host, port):
self.baseurl = '{}:{}/api/v1/basket/'.format(host, port)
def create_basket(self):
try:
x = requests.post(self.baseurl)
except Exception as e:
return None, 'Exception: {}'.format(e)
if x.status_code != 201:
return... | true |
55be6fa101b3643b73edb6695dd92d6b2831826a | Rainsaays/opera_scripts | /micro_check/micro_easy.py | UTF-8 | 3,811 | 2.5625 | 3 | [] | no_license | #/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests,re,os,time,json
from lxml import etree
from dingtalkchatbot.chatbot import DingtalkChatbot # pip install dingtalkchatbot
###引用日志类
from logger import logger_get
logger = logger_get("info")
###配置信息
domain_url="http://www.micro.com/"
eureka_name="user"
eure... | true |
40eac88f0adfb5c899971c70647d24da3ace327d | rishirajani/NumberWords | /numberwordsexample.py | UTF-8 | 433 | 3.265625 | 3 | [] | no_license | from numberwords import grouping_func
def main():
number = num = None
while True:
number = input("Enter number : ")
if not number.replace(',','').isdigit():
print("Incorrect input. Try again!")
continue
num = number.replace(',','')
break
print(f"\nNum... | true |
5b92c61ec893ed3d1e316bf5361733a9acafbb9f | made-ml-in-prod-2021/kadetfrolov | /ml_project/models/model_fit_predict.py | UTF-8 | 2,313 | 2.671875 | 3 | [] | no_license | from typing import Union, Dict
import sklearn
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import Pipeline
from sklearn.metrics import accuracy_score, roc_auc_score, f1_score, precision_score, recall_score
from sklearn.compose import Colum... | true |
f4e4594afcec135ca1b9eab707273610018b16b5 | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/arc051/B/3503713.py | UTF-8 | 63 | 3.203125 | 3 | [] | no_license | a,b=1,1
for _ in range(int(input())):
a,b=a+b,a
print(a,b) | true |
13bfa33ce0b3c98a0f377ac0c8e7a93528fb7697 | Julialva/projmac | /Maquinas.py | UTF-8 | 4,288 | 2.671875 | 3 | [] | no_license |
import numpy as np
import math
import matplotlib.pyplot as plt
from pos_4_barras import *
class Mecanismo:
def grashof(self,elos):
aux_elos = elos
elo_maior = max(elos)
elo_menor = min(elos)
elos.remove(max(aux_elos))
elos.remove(min(aux_elos))
elos_restantes = sum(a... | true |
e017f8bbbca94de5aadfa471ffb2ee13898c3e24 | V-Kiruthika/GuviBeginner | /prime_interval.py | UTF-8 | 250 | 3.109375 | 3 | [] | no_license | def prime(n):
c=0
for j in range(2,n):
if n%j==0:
c+=1
if c==0:
a=1
else:
a=0
return a
s,e=map(int,input().split())
l=[]
for i in range(s+1,e):
if prime(i)==1:
l.append(i)
print(*l)
| true |
accd3a7f513b086efc0fc7510a0865c9cb1b7a54 | massimopiedimonte99/PygameTemplate | /Pygame Template/Game.py | UTF-8 | 944 | 3.046875 | 3 | [
"MIT"
] | permissive | import pygame as pg
from settings import *
class Game:
def __init__(self):
self.screen = pg.display.set_mode((W, H))
self.screen.fill(BLACK)
pg.display.set_caption(TITLE)
self.running = True
def new_game(self):
self.playing = True
sel... | true |
db3084aa2b477b23f26f9389dc1ee30318411c8e | Aasthaengg/IBMdataset | /Python_codes/p02238/s908068805.py | UTF-8 | 894 | 3.109375 | 3 | [] | no_license | ii = lambda : int(input())
mi = lambda : map(int,input().split())
li = lambda : list(map(int,input().split()))
class tree:
def __init__(self,n):
self.n = n
self.vlist = [None]*self.n
self.start = [None]*self.n
self.finish = [None]*self.n
self.time = 0
def add(self,n... | true |
aba867560becef44d8c9fbe74de876e8bcafa996 | EdvardPedersen/ChessTactics | /chesstactics.py | UTF-8 | 5,127 | 2.671875 | 3 | [
"MIT"
] | permissive | import re
import subprocess
import time
import io
import threading
from urllib.request import urlopen
import pickle
import chess.pgn
import chess.engine
class PGNFile:
def __init__(self, filename, player):
self.player = player
with open(filename) as f:
self.file = f.read()
def get... | true |
88b4dc5783e9521622cc7fea8aa888f7a3162120 | davidcawork/UAV-Report | /githubTrends/plot_githubTrend.py | UTF-8 | 583 | 2.796875 | 3 | [] | no_license | #!/usr/bin/python3
import pandas as pd
import matplotlib.pyplot as plt
reposbyYear = pd.read_csv('data/githubTrendYear.csv')
reposbyYear.set_index('Year', inplace=True)
print(reposbyYear.head())
print(reposbyYear.info())
reposbyYear.plot.bar(figsize=(10, 8), color='#ffb630', legend=False, zorder=3, linewidth=1, ed... | true |
995df1d9ed889a2c0a0fef5730d2e377e754ac34 | mdmuneerhasan/python | /SVM/svm1.py | UTF-8 | 2,108 | 2.828125 | 3 | [] | no_license | import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import make_classification
X, Y = make_classification(n_classes=2, n_samples=400, n_clusters_per_class=1, random_state=3, n_features=2,
n_informative=2, n_redundant=0)
Y[Y==0]=-1
plt.scatter(X[:, 0], X[:, 1], c=Y)
... | true |
f31f6bb0bdba75c239b10e9ca607116fa903fe65 | PaPiix/DecoraterBot-cogs | /voice.py | UTF-8 | 133,055 | 2.75 | 3 | [
"MIT"
] | permissive | # coding=utf-8
"""
DecoraterBot's Voice Channel Plugin.
"""
import json
import sys
import os
import youtube_dl
import discord
from discord.ext import commands
from DecoraterBotUtils import BotErrors
from DecoraterBotUtils.utils import *
def make_voice_info(server_id, textchannel_id,
voice_id):
... | true |
f1aa4935d9b9e7009f8ca2f5205e1126acaad2ea | ZoieM/DJam | /quicksort2.py | UTF-8 | 1,528 | 3.640625 | 4 | [] | no_license | def quickSort(alist):
quickSortHelper(alist,0,len(alist)-1)
def quickSortHelper(alist,first,last):
if first<last:
splitpoint = partition(alist,first,last)
quickSortHelper(alist,first,splitpoint-1)
quickSortHelper(alist,splitpoint+1,last)
def partition(alist,first,last):
p... | true |
dbae329ffb353a2b6527fd4dce5080a682e5e22d | Aasthaengg/IBMdataset | /Python_codes/p02596/s807787603.py | UTF-8 | 177 | 3 | 3 | [] | no_license | k = int(input())
if k%2 == 0 or k%5 == 0:
print(-1)
exit()
i = 0
mod = 0
while True:
mod = (mod*10 + 7)%k
i += 1
if mod == 0:
print(i)
break | true |
cc7f87ae6be7e9ba67366658d1590ea1ab820e50 | victorrgouvea/URI-Problems | /Vetores/1129.py | UTF-8 | 511 | 3.5625 | 4 | [] | no_license | q = ["A", "B", "C", "D", "E"]
while True:
n = int(input())
if n == 0:
break
while n > 0:
v = input().split()
r = 0
for i in range(0, len(v)):
v[i] = int(v[i])
for i in range(0, len(v)):
if v[i] == 0 or v[i] <= 127:
r += 1
... | true |
a2b8d4abc189f78b9694ed361649811f2f971266 | angeldev96/ProyectoAED | /html_importer.py | UTF-8 | 679 | 3.53125 | 4 | [] | no_license |
import urllib.request
#Clase que se encarga con obtener el codigo fuente de un sitio web
class Html_import:
def __init__(self): #Metodo init que inicializa la variable "url" que es la que usaremos para obtener la pagina web
self.url = " "
def obtener_html(self): #Metodo que obtiene el codig... | true |
b6bf4504ff84ed3e2cd84f28c5641cd339abd022 | mjachowdhury/MachineLearning-4thYear-CIT | /workCopy/mohammed.py | UTF-8 | 11,760 | 3.546875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 22 19:02:23 2019
@author: Mohammed
"""
import pandas as pd
import numpy as np
import re
from pandas import ExcelWriter
from pandas import ExcelFile
from collections import Counter
import seaborn as sns
import math
minimumWordLength = 2
minimumWordOccurences = 2
inputSt... | true |
d02cd1812191562af7c572241efcc850f06d4ed7 | trueutkarsh/vector_ai_backend_test | /writer/validator.py | UTF-8 | 2,986 | 3.421875 | 3 | [] | no_license | """
This module is for validating that, data passed to database layer for
DB operations
Data types in DB tables, Validation to be performed
- string -> name - Check that name only contains alphabets
- int -> population, num_* ->
e.g
check the consistency of the values (population)
... | true |
887ccbba4baf5c71e8a2d17cfd52780fb6fc7248 | kostas-simi/patsak | /askisi3.py | UTF-8 | 948 | 3.296875 | 3 | [] | no_license | #! Python program that removes comments (with #) for a python code.
#! Created by Kostas Simiriotis, January 2019 for the Python test of the 1st semester.
print("Welcome to Python comment remover, noComm1.0 by Kostas Simiriotis!")
filename = input("Please provide the name of the file: ")
print("Opening the file...")
f... | true |
0adc74d5e05e775ddd1a30b9e2fd3d2aa58c6828 | gdc2016/algorithm011-class02 | /Week_04/433.最小基因变化.py | UTF-8 | 982 | 2.78125 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=433 lang=python3
#
# [433] 最小基因变化
#
# @lc code=start
from collections import deque
class Solution:
def minMutation(self, start: str, end: str, bank: List[str]) -> int:
if not bank:
return -1
if not start or not end:
return -1
bank = set(ban... | true |
2ce99d775a8947a8c4910f2c392d22fd73d53c9f | Cyra25/CP1404_Practicals | /Prac_05/Extension 2.py | UTF-8 | 285 | 4.28125 | 4 | [] | no_license | """Takes 2 lists and creates a dictionary with the elements in one of the list as the key and
the elements in the other as the values"""
names = ["Jack", "Jill", "Harry"]
dobs = [(12, 4, 1999), (1, 1, 2000), (27, 3, 1982)]
names_to_dobs = dict(zip(names, dobs))
print(names_to_dobs) | true |
9b534fe33f6f65717257c637fd6ff337c2c0f65f | hrishikeshtak/Coding_Practises_Solutions | /leetcode/LeetCode-75/Level-1/09-Best-Time-to-Buy-and-Sell-Stock.py | UTF-8 | 2,120 | 4.40625 | 4 | [] | no_license | """
Best Time to Buy and Sell Stock
You are given an array prices where prices[i] is the price of a given stock on the ith day.
You want to maximize your profit by choosing a single day to buy one stock and choosing a different day in the future to sell that stock.
Return the maximum profit you can achieve from this... | true |
b55076fd856fbfe79dfdb6c252e7da605f538db9 | TheGigacorn/theoryhw1 | /roman.py | UTF-8 | 5,662 | 3.59375 | 4 | [] | no_license | def roman_expander(base_roman):
new_roman= []
lim = len(base_roman)
i = 0
print(lim)
while i < lim:
print(i)
if i + 1 == lim:
new_roman.append(base_roman[i])
break
elif (i < lim and base_roman[i] == 'I' and base_roman[i+1] == 'V'):
new_roma... | true |
42f170aad1a3ea1e383ab1d6f7c4d4838c2be6e4 | vjthedeejay/property-finder | /craigslist_housing_filter.py | UTF-8 | 4,552 | 2.796875 | 3 | [] | no_license | from craigslist import CraigslistHousing
from config import DatabaseConfig
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Column, Integer, String, DateTime, Float, Boolean
from dateutil.parser import parse
engi... | true |
2215fdf23a1c7a95ecbe14d1507fb68cb1ca2c78 | MPMG-DCC-UFMG/M02 | /Segmentacao/main.py | UTF-8 | 1,061 | 2.75 | 3 | [] | no_license | import sys
import os
import argparse
import segmentacao
import random
def main():
#Para replicar os resultados
random.seed(1608637542)
parser = argparse.ArgumentParser(description='Segmentação dos Diários Oficiais dos Municípios Mineiros.')
parser.add_argument("-o", metavar="<diretório>",type=str, help="Caminho ... | true |
fdc32f0ffbfbf71075289ad26be89b3ae8fc0972 | run-tmc/tensorflow_projects | /linear_regression_model_eval_tensorflow.py | UTF-8 | 3,422 | 3.46875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 27 12:29:51 2018
@author: trevo
"""
"""
Demostrate ML with a linear regression algorithm built in tensorflow
with a L2 loss function and gradient descent optimizer
Find a weight value A from a x dataset feature with a y target value
Split dataset for model training and... | true |
75e0b58bfeac510e96cdb5b4243c550707404922 | jonathanfrawley/PyAutoConf_copy | /test_autoconf/json_prior/code/module.py | UTF-8 | 172 | 2.828125 | 3 | [
"MIT"
] | permissive | class MyClass:
def __init__(
self,
simple: float,
tup=(1.0, 1.0)
):
self.simple = simple
self.tup = tup
| true |
fc36c2a6ae1ff0fac841d862415467506aad2e57 | heyheycel/advent-of-code | /2019/day3.py | UTF-8 | 1,485 | 3.03125 | 3 | [] | no_license | with open('input_day3.txt') as f:
cables_lines=[line.strip().split(',') for line in f]
dX={'R':1, 'L':-1, 'U':0, 'D':0}
dY={'R':0, 'L':0, 'U':1, 'D':-1}
visited={0:set(), 1:set()}
for cable in range(2):
x=y=0
for cable_line in cables_lines[cable]:
direction, steps= cable_line[0], int(cable_line[1:])
for i in ... | true |
e15ab4808a97f3fd0ba7315d9d47f370d486796c | macster00/TimeClock | /checkstatus.py | UTF-8 | 624 | 2.734375 | 3 | [] | no_license | import sqlite3
import datetime
import time
conn = sqlite3.connect('TCTest1.db', detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES)
c = conn.cursor()
pins = []
def enter_pin():
pin = int(raw_input("Enter your 4 digit PIN: "))
get_times(pin)
def get_rids():
for row in c.execute('sele... | true |
60376393a9c8fb305a73ac328a5d46160d1aa5f2 | just3019/taole_pc | /thread_pool.py | UTF-8 | 1,797 | 3 | 3 | [] | no_license | import threading
import time
from threading import Thread
from queue import Queue
import requests
class ThreadPool:
def __init__(self, number_of_workers):
self.tasks_queue = Queue(number_of_workers)
self.result_queue = Queue(0)
for _ in range(number_of_workers):
ThreadWorker(s... | true |
a91215982c68b501d1209b6b4a82741f05461015 | yirantai/torflaio_validators | /base/fields.py | UTF-8 | 3,627 | 2.65625 | 3 | [] | no_license | # coding: utf-8
import datetime
from .exceptions import ParamsValidationError
from .time_tools import dt_str_to_datetime
class BaseField(object):
field_type = None
field_type_name = None
def __init__(self, field_name=None, field_value=None, required=True, default=None, max_length=0, min_length=0):
... | true |
6ab2eb157e36eb5297faae17f6a1246e320f7d14 | jestemjacek/keylogger | /main.py | UTF-8 | 1,071 | 2.703125 | 3 | [] | no_license | #! /usr/bin/env python
import pynput.keyboard
import therading
import smtplib
class Keylogger:
def __init__(self, interval, email, password):
self.data = "Apllication started"
self.interval = interval
self.email = email
self.password = password
def append_data(self, string):
self.data += string
def ke... | true |
eda550f97132b31bf7aa0d15aa69e10280a1013c | veetarag/Data-Structures-and-Algorithms-in-Python | /Interview Questions/Watering Flowers.py | UTF-8 | 708 | 3.484375 | 3 | [] | no_license | def watering(array, cap1, cap2):
l = len(array)
lo = 0
hi = l-1
myRes = 0
frnRes = 0
cnt = 0
while lo <= hi:
if lo==hi:
if myRes+frnRes < array[lo]:
myRes += cap1
cnt+=1
else:
if array[lo] > myRes:
... | true |
41a3ef55f00d7c09603dd97fa7d1f83fff22159e | SteevenMnw/TpTechnicienIntervention | /src/DataAccess/DataBaseManip.py | UTF-8 | 1,807 | 2.90625 | 3 | [] | no_license | import sqlite3
import os
import json
from definitions import DB_PATH
from src.entities.intervention import Intervention
from src.entities.technicien import Technicien
from src.repositories.technicienRepository import technicienRepository
from src.repositories.interventionRepository import intervientionRepository
def... | true |
1023034b6269b901451a94badf1911c674066560 | loan181/INGInious_memoire | /Introduction_IA_NN/exHandleLayers/correction.py | UTF-8 | 934 | 2.75 | 3 | [] | no_license | #!/bin/python3
import os
import sys
import sys
sys.path.insert(1, '/course/common')
from contextlib import redirect_stdout
if __name__ == '__main__':
X = "X"
try:
studentsMats = [
@@res@@,
@@res2@@,
]
except Exception as e:
print(e)
exit()
expe... | true |
cd16debd913ce66e668838000f4e5c83372d1012 | bodyshopbidsdotcom/cnn_workshop | /app/infer.py | UTF-8 | 1,552 | 2.734375 | 3 | [] | no_license | import pdb
from os import listdir
from os.path import join
import cv2
import numpy as np
from model import model_alexnet, model_inception_v3
from constants import IMAGE_FILE_SUFFIXES, TESTING
MODEL = 'weights-0016-0.36.hdf5'
def infer(model, image_array):
norm_image_array = np.array(image_array, np.float32) /... | true |
753ecfdef342ed94ae28474a9dcaa4f74940bc56 | suzusu/intro-info | /td4.py | UTF-8 | 967 | 4.40625 | 4 | [] | no_license | # Exercice 1 : Afficher les nombres paires entre 0 et 30.
X = 0
for compteur in range(16):
print(X)
X = X + 2
# Exercice 2 : Afficher en ordre décroissant les nombres de 10 à 1.
x = 10
while x != 0:
print(x)
x = x - 1
# Exercice 3 : Calculer 1 x 2 x 3 x 4 x 5 x 6 avec une boucle.
y = 1
for x in ran... | true |
95df18633bd0c058923f1350052ab4c98b185396 | johnghr/The_Real_Funky_Karaoke | /tests/test_karaoke_bar.py | UTF-8 | 3,180 | 3.09375 | 3 | [] | no_license | import unittest
from src.karaoke_bar import *
from src.song import Song
from src.guest import Guest
from src.room import Room
class TestKaraokeBar(unittest.TestCase):
def setUp(self):
self.song_1 = Song("Get Up Offa That Thing")
self.song_2 = Song("Can't Stop")
self.room = Room("The Real ... | true |
abdceabf3353032529001d576443cce654fc4e6e | maykkk1/curso-em-video-python | /exercicios/MUNDO 3/Dicionários/ex094.py | UTF-8 | 1,438 | 3.625 | 4 | [] | no_license | import pandas as pd
dados = list()
pessoa = dict()
mulheres = list()
acima_da_media = list()
tot = 0
while True:
pessoa['nome'] = str(input('Nome: '))
while True:
pessoa['sexo'] = str(input('Sexo: [F/M]: ')).upper()
if pessoa['sexo'] == 'F' or pessoa['sexo'] == 'M':
break
els... | true |
2278f8867b4868e4de839e796714bff4a252c778 | dinkoslav/Python | /Programing0-1/Week4/6-Count-of-Neighbours-With-Zero-Sum/pairs.py | UTF-8 | 379 | 3.671875 | 4 | [] | no_license | def count_zero_neighbours(numbers):
pairs = []
count = 0
while count < len(numbers) - 1:
if numbers[count] + numbers[count+1] == 0:
pairs = pairs + [numbers[count]]
pairs = pairs + [numbers[count+1]]
count = count + 1
return pairs
numbers = [1, 2, -2, 0, 0, ... | true |
50b11267879396964167d3cbdcac8d812e335587 | jitendra977/My-Python | /tout72_comphernsis.py | UTF-8 | 475 | 3.796875 | 4 | [] | no_license | # list comprehensions
lst = [i for i in range(100) if i % 3 == 0]
print(lst)
# dictionary comprehensions
dict1 = {i: f'item{i}' for i in range(1, 100) if i % 20 == 0}
dict2 = {value: key for key, value in dict1.items()}
print(dict1)
print(dict2)
# set comprehensions
dress = {dress for dress in ['dress1', 'dress2', 'dr... | true |
daab07137eaf689d1759ddff1d33379e77c54843 | fonzynice/Native-App | /Product Order Form.py | UTF-8 | 5,755 | 3.0625 | 3 | [] | no_license | # import modules for this application
import tkinter as tk
from tkinter import *
from tkinter import ttk
import sqlite3
from sqlite3 import Error
# Product Database, sqlite3
def sql_connection():
try:
connection = sqlite3.connect('pro_database.db')
return connection
except Error:
pri... | true |
387715e961f9850dcc2ef89386dab927bb18be03 | k4ml/jazzpos | /src/kecupuapp_base/log.py | UTF-8 | 1,250 | 2.5625 | 3 | [
"MIT"
] | permissive | import syslog
import inspect
def log_syslog(msg, priority='LOG_INFO', facility='LOCAL0', debug=False):
"""
Configure syslog (/etc/rsyslog.conf) to have the following:-
local0.* /var/log/local0
local1.* /var/log/local1
TODOS:
Get the class name if the caller is a class/instance m... | true |
84600fd8150de6eba52de2d7456dd1360a45cb87 | dexterchan/DailyChallenge | /MAR2020/MakingChange.py | UTF-8 | 1,139 | 4.25 | 4 | [
"Apache-2.0"
] | permissive | #Given a list of possible coins in cents, and an amount (in cents) n,
# return the minimum number of coins needed to create the amount n.
# If it is not possible to create the amount using the given coin denomination, return None.
#Here's an example and some starter code:
#ANalysis, sort the list of possible coins O(n... | true |
1894cbd0befe3b55d2f7db77e675e165e5554781 | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/abc031/A/4921990.py | UTF-8 | 180 | 3.0625 | 3 | [] | no_license | def game(A: int, D: int)->int:
return max((A + 1) * D, A * (D + 1))
if __name__ == "__main__":
A, D = map(int, input().split())
ans = game(A, D)
print(ans) | true |
4c8ea2ec6c932e1f3f8c2d270bb7f0ed412c8b15 | google/ldif | /ldif/util/gaps_util_tf.py | UTF-8 | 3,364 | 2.515625 | 3 | [
"Apache-2.0"
] | permissive | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | true |
c544b72e64adb59f707a606a38fbfeb41ada779f | martin-chobanyan/transfer-visualization | /feature_vis/render.py | UTF-8 | 5,371 | 3.015625 | 3 | [] | no_license | """The render module defines an object which can be used to create feature visualizations"""
from torch import mean
import torch.nn as nn
from torch.optim import Adam
from torchvision.transforms import ToPILImage
from tqdm import tqdm
from .colors import DecorrelateColors
from .fourier import FourierParam
from .transf... | true |
aeca63479888d32670c2b60d0ce857c27c6656cb | eneyi/100StatisticalTestsTestsInPython | /test_60.py | UTF-8 | 195 | 2.828125 | 3 | [] | no_license | # Test 60 Friedman’s test for multiple treatment of a series of subjects
# compare samples
stat, p = friedmanchisquare(data1, data2, data3, data4)
print('Statistics=%.3f, p=%.3f' % (stat, p))
| true |
91c45099f70dac253dced43e6a9f51eac6bab699 | iswanlun/PatternTradingBot | /src/binance_trading_api.py | UTF-8 | 1,039 | 2.609375 | 3 | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | permissive | import pprint
from broker import Broker
from binance.client import Client
from binance.enums import *
from config import config
# ref : https://python-binance.readthedocs.io/en/latest/account.html
class Binance(Broker):
def __init__(self) -> None:
self.client = Client(config['apiKey'], config['apiSecret']... | true |