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 |
|---|---|---|---|---|---|---|---|---|---|---|
b9f92b2df654304ca59ae1b6ff5ff9d9168c6316 | hasanalkholil/fashion-mnist-cnn | /fashion-cnn.py | UTF-8 | 1,877 | 2.96875 | 3 | [] | no_license | import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
from keras.layers import Dropout
from keras.utils import to_categorical
data_train = pd.read_csv('fashion-mni... | true |
44b8bdb88b04a9e0de763b5108b9c77edfc46bc1 | erickdaguilar/Python | /files/ejercicio.py | UTF-8 | 296 | 3.46875 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 14 13:50:51 2019
@author: usuario
"""
print("¿Cual es tu nombre?")
nombre= input()
print("¿En que año naciste?")
edad= int(input())
edad= 2019-edad
edad= str(edad)
with open ("datos.txt","w") as file:
file.write(nombre)
file.write(edad) | true |
dcfb70da7d4d0f04ce7eb1275b2d2ee1fb695482 | Kabelo741/potato-milk | /DQN_Cartpole.py | UTF-8 | 5,042 | 2.671875 | 3 | [] | no_license | import tensorflow as tf
import numpy as np
import os
class DeepQNet(object):
def __init__(self, lr, n_actions, name, input_dims, fc1_dims=256, fc2_dims=256):
self.name = name
self.lr = lr
self.n_actions = n_actions
self.input_dims = input_dims
self.fc1_dims = fc1_d... | true |
730df08b5abe8ad748692945f3e3da368f5a09c6 | yanfulin/yabook | /check_file_size.py | UTF-8 | 2,539 | 2.859375 | 3 | [] | no_license | import pandas as pd
from pathlib import Path
df=pd.read_csv("backup/test_yabook.csv", index_col='index')
df["size_bit"]=0.0
#print (df.head())
# need to check the file size is correct!!
target_dir=Path("E:/yabook/")
def update_file_download_status(criteria=-10):
for index, row in df.iterrows():
size=row.... | true |
05f2e4db9ae70178778e1511c5c87a7385076ee1 | Prajan87/Python-Codes | /Web Scrapping/nrb.py | UTF-8 | 695 | 2.578125 | 3 | [] | no_license | import bs4
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
url = "https://www.nrb.org.np/fxmexchangerate.php"
uclient = uReq(url)
page_html = uclient.read()
uclient.close()
page_soup = soup(page_html, "html.parser")
containers = page_soup.findAll("table",{"align":"center", "width":450})... | true |
534cc40b856c99234d6e7933cee7012bfef0821c | everilae/furnish | /tests/test_decorators.py | UTF-8 | 2,681 | 2.765625 | 3 | [
"MIT"
] | permissive | import pytest
import furnish
from furnish import create, url, get, post, headers, BaseClient, Body, Json
from furnish.exc import FurnishError
@pytest.fixture
def test_headers():
return {
"X-Test": "test"
}
class TestDecorators:
def test_simple_definition(self):
class Api:
p... | true |
29c799ef7abb86d5066f0771b8b81b777208b610 | int-brain-lab/analysis | /python/fit_learning_curves.py | UTF-8 | 6,015 | 2.96875 | 3 | [
"MIT"
] | permissive |
import pandas as pd
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import seaborn as sns
from IPython import embed as shell # for debugging
from scipy.optimize import curve_fit
# ================================================================== #
# DEFINE LEARNING CURVES
# FROM GUIDO https://... | true |
3d6e40e7487e4d72ac98975bbb875a72533a0fa0 | ThyEvilOne/LSC-python-class-Noah-David | /DavidBChap10/4.9CarCalcWithTry.py | UTF-8 | 768 | 3.390625 | 3 | [] | no_license | # Type your code here
errorInt = 1
while errorInt == 1:
user_service = str(input('Enter desired auto service:\n'))
services = {'Oil change':35, 'Tire rotation':19, 'Car wash':7}
if user_service == 'Oil change':
output_serv = 'oil change'
elif user_service == 'Tire rotation':
output_se... | true |
50a659aecf4d41040d6d6677f1f2bd4f63df1bbc | Kinglong-Owen/ML_learn | /机器学习手撕代码/决策树/回归树（别人的代码解析）.py | UTF-8 | 5,225 | 3.15625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 24 15:35:16 2019
@author: Administrator
"""
import os
import numpy as np
os.chdir(r'C:\Users\Administrator\Desktop')
import pandas as pd
def createTree(dataSet, leafType, errType, cond=(1,4)):
''' 创建回归树/模型树。
:param dataSet:
:param leafType:
:param errType:... | true |
afccd6e20a02213d444bb3c0c1517c6c01fbc0cb | huhudaya/leetcode- | /LeetCode/233. 数字 1 的个数.py | UTF-8 | 1,895 | 3.9375 | 4 | [] | no_license | '''
给定一个整数 n，计算所有小于等于 n 的非负整数中数字 1 出现的个数。
示例:
输入: 13
输出: 6
解释: 数字 1 出现在以下数字中: 1, 10, 11, 12, 13 。
通过次数8,684提交次数23,868
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/number-of-digit-one
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
'''
# 字典序
'''
我们知道，如果对[1..n]的数组按照字典顺序排列，我们构建一棵字典树即可。
假设 n=205，我们需要计算 [1..205] 总共包含多少个1，问题就... | true |
e439eae7da3fc96a48e328fc367ff294020966e6 | wstam88/rofistar_php | /resources/snippets/Python3/Buildin functions/List /insert.py | UTF-8 | 125 | 3.8125 | 4 | [] | no_license | fruits = ['apple', 'banana', 'cherry']
# Adds an element at the specified position
fruits.insert(1, "orange")
print(fruits) | true |
5d7a4dfb10ec9c59a6b3874d743809eea3a9e610 | psanjay679/Programming-Questions | /GFG/vacant_seats.py | UTF-8 | 486 | 3.046875 | 3 | [] | no_license | from queue import PriorityQueue
import sys
def main():
t = int(input())
for __ in range(t):
a, b = [int(k) for k in sys.stdin.readline().split()]
ar = [int(k) for k in sys.stdin.readline().split()]
pq = PriorityQueue()
for e in ar:
pq.put(-e)
cnt = 0
... | true |
83a83a13ed47b5376b58f01db07aef3bf712e27e | Aasthaengg/IBMdataset | /Python_codes/p02404/s802569362.py | UTF-8 | 453 | 3.125 | 3 | [] | no_license | while True:
a,b= map(int,input().split())
if(a==0 and b==0):
break;
for i in range(a):
for j in range(b):
if( i == 0 or i == a-1):
print('#',end='')
elif(j == 0):
print('#',end='')
elif(j > 0 and j < b-1):
... | true |
cf9c38d9bdece506493b450185acfe2ba7e53575 | xcltyt/ncss_markov | /data/bigrams.py | UTF-8 | 929 | 4.25 | 4 | [
"MIT"
] | permissive | import random
text = open(raw_input("What file do you want to learn from? "), 'rU').read()
# split the text up into tokens
words = text.split()
# set up a dictionary to store things in
d = {}
numwords = len(words)
# loop over words, adding each word and the next word
for i in range(numwords-1):
# if we haven't seen... | true |
0b5273dd62afd924a34f2b05ae92342134536f8a | saurin94/Emoticon-Prediction-based-on-Live-Face-Capture | /ocrGoogleCloud.py | UTF-8 | 1,420 | 2.78125 | 3 | [] | no_license | import io
import time
from google.cloud.vision import types
from google.cloud import vision
import cv2
from PIL import Image
class OCR(object):
def capture_image(self):
path = ""
camera = cv2.VideoCapture(0)
i = 0
raw_input('Press Enter to capture')
while i < 2:
... | true |
79c13669afea4648ce7ef0540fc55e76d565d66e | Ajayjeena/Linear-Regression-Simulator | /Simulator.py | UTF-8 | 1,012 | 2.890625 | 3 | [
"MIT"
] | permissive | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib.animation as animation
dataset = pd.read_csv('dataset.txt',sep='\t',header=None)
dataset.columns = ["X","y"]
x = dataset.iloc[:, 0].values
y = dataset.iloc[:,1].values
x2,y2 = x,y
plt.scatter(x,y)
plt.show()
x = np.res... | true |
bb4b353465782b4e2bcd54259892e8983a747119 | jsucsy/learning | /euler/001/001.py | UTF-8 | 547 | 3.15625 | 3 | [] | no_license | '''
jsu
created 16 Dec 2012
last edited 16 Dec 2012
*** correct solution***
'''
def sum_multiples(multiplier, limit):
'''sum the multiples of multiplier under limit'''
values = []
x = 1
while (x * multiplier) < limit:
# print "added
values.append(x * multiplier)
x += 1
return values
if __name__ == ... | true |
2c766c0dabf676caba0edc65f88de736cd1a47d2 | miladibra10/KohonenColorMapper | /Kohonen.py | UTF-8 | 4,344 | 2.84375 | 3 | [] | no_license | import numpy as np
from matplotlib import pyplot as plt
from matplotlib import patches
import subprocess as sp
class Kohonen:
def __init__(self, data, iterations=5000, learning_rate=0.01, normalize_data=True, normalize_by_column=False, network_x_dimension=40, network_y_dimension=40):
self.iterations = ite... | true |
13a2814e8744c6c09906d790185ed44fc2b3f23e | haodeqi/DiverseFewShot_Amazon | /few_shot_code/SupportSetManager.py | UTF-8 | 8,000 | 2.578125 | 3 | [] | no_license | import random
import torch
import numpy as np
from torch.autograd import Variable
class SupportSetManager(object):
FIXED_FIRST = 0
RANDOM = 1
def __init__(self, datasets, config, sample_per_class):
self.config = config
(TEXT, LABEL, train, dev, test) = datasets[0]
self.TEXT = TEXT
... | true |
8970711d4c6f313720973f17520ee4e8c2097f26 | moraesmm/learn_python | /cursoEmVideo/pythonExercise/Mundo 01/4 - Usando modulos do Python/ex026_primeira_ultima_ocorrencia.py | UTF-8 | 622 | 4.1875 | 4 | [] | no_license | # crie um programa que leia uma frase e retorne quantas vezes aparece "A" em que posicao ela aparece pela primeira vez em que posicao ela aparece a ultima vez
f = str(input('Digite uma frase: ')).upper().strip()
c = str(input(('Qual letra vc deseja procurar: '))).upper()
f_count = f.count(c)
f_find = f.find(c) + 1
f_... | true |
5b66fdfe243022c22866ba907312ecf36526ff5b | babyfingers/python_scripts | /TensRot.py | UTF-8 | 5,722 | 2.765625 | 3 | [] | no_license | #!/usr/local/bin/python
class FourTensor:
"""A four-tensor with the symmetry properties found in the
energy-damped purity method. Also contains information about
coefficients so that a group of such terms can be combined."""
def __init__(self, coeff, NCos, NSin, myIndices):
self.prefac = [[coef... | true |
7d4a895627446e6a6939514eb6a380d7404d2e4c | graziano-giuliani/pythoncode | /pyuwphysret/common/pyfiles/atmos/Stability/mixr.py | UTF-8 | 1,262 | 3.203125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# mixr.py
import numpy as num
from esat import esat
def mixr(t,p):
"""mx = mixr(t,p)
Computes the saturation mixing ratio given ambient temperature(s) (t) and
pressure(s) (p).
Inputs:
t = dry bulb temperature(s) (deg C or K) (vector of length N)
p = pressure(s) (hPa) (vector o... | true |
22328b7a080f5ccc1f33c8831c18997e6ef96d77 | rheehot/Algorithm-33 | /Baekjoon/백준1926. 그림.py | UTF-8 | 1,043 | 2.75 | 3 | [] | no_license | import sys
sys.stdin = open('백준1926. 그림.txt','r')
dx = [0,0,-1,1]
dy = [-1,1,0,0]
n, m = map(int,input().split())
picture = [ list(map(int,input().split())) for _ in range(n) ]
visited = [[0]*m for _ in range(n)]
result = list()
for i in range(n):
for j in range(m):
stack = list()
if picture[i][j] ... | true |
9f35c8e741726c0774d7bea8df5f53f1cc3134eb | Shea-Wolfe/modern-art | /random_art.py | UTF-8 | 937 | 4.0625 | 4 | [] | no_license | import random
from math import *
# Your job is to create better version of create_expression and
# run_expression to create random art.
# Your expression should have a __str__() function defined for it.
def create_expression():
"""This function takes no arguments and returns an expression that
generates a num... | true |
09fbfeb917a125fdc10f0f29f7ccd930dd1179e3 | gabrielpreite/progetto-granarolo | /scriptRPI_temporized.py | UTF-8 | 2,711 | 2.734375 | 3 | [] | no_license | import Adafruit_DHT as adht
import time
from datetime import datetime
import logging
import threading
from threading import Timer
import mysql.connector
import os
class InfiniteTimer():
"""A Timer class that does not stop, unless you want it to."""
def __init__(self, seconds, target):
self._should... | true |
012494338988d2aca68c8c99724ce0f3598617ac | priya4-hari/Python | /for loop with range in tuple.py | UTF-8 | 97 | 3.453125 | 3 | [] | no_license | thistuple=("apple","banana","orange")
for i in range(len(thistuple)):
print(thistuple[i])
| true |
797a18533650ce6c7856bf380e74a37a7d9d429b | Gerson2102/Portafolio4 | /Televisor.py | UTF-8 | 1,207 | 3.640625 | 4 | [] | no_license | class Televisor:
canal_actual = 0
volumen_actual = 0
def __init__(self, marca):
self.marca = marca
def mostrar(self):
return self.marca
def tipo(self):
return "Televisor"
def canal_up(self):
Televisor.canal_actual += 1
return "El canal act... | true |
3c1f9bdf036be338f733eee316949c985601f8e2 | ana2pn/Fundamentals_of_Software_Engeneering2019.2 | /mybot/bot.py | UTF-8 | 589 | 3.171875 | 3 | [] | no_license | from chatterbot.trainers import ListTrainer
from chatterbot import ChatBot
bot = ChatBot('NiceBot')
texto = open("conversa.txt",'r')
texto = texto.readlines()
trainer = ListTrainer(bot)
trainer.train(texto)
while True:
try:
print("Olá, meu nome é NiceBot estou aqui para te ajudar o que você gostaria de ... | true |
66430e55fe3f691221cd70af9a3237875dd562ef | htw-projekt-p2p-volltextsuche/Crawler | /Crawler/rede.py | UTF-8 | 2,510 | 3.28125 | 3 | [] | no_license | import re
class rede:
def __init__(self, title, date):
self.title = title
self.title_short = self.shorten_title(self.title)
self.speaker = ""
self.affiliation = ""
self.date = date
self.text = ""
def shorten_title(self, title):
_, short = self.remove... | true |
0cb7039469d2b604d52f7b238e1e62ea58140f12 | AvijitMaity/Avijit-Maity-Computational-Physics-2-Assignment-2 | /Problem 11.py | UTF-8 | 2,548 | 3.5625 | 4 | [] | no_license | '''
Runge-Kutta Method
====================================================================
Author: Avijit Maity
====================================================================
This Program solves the initial value problem using
with Runge-Kutta Method
'''
import numpy as np
import matplotlib.pyplot... | true |
6b88c8d6a2612ed9b036ee03aeacd5358148a34f | LuizBoina/data-science-week | /aula01/aula01.py | UTF-8 | 3,252 | 3.296875 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# ## **Semana de Data Science**
#
# - Minerando Dados
# ### Conhecendo a base de dados
# Importando as bibliotecas básicas
# In[ ]:
import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
# Carregando a Base de Dados
# In[ ]:
# carre... | true |
fa480762ad0a8e7fbe778adb49bd009d3b657a2c | ryos36/polyphony | /polyphony/compiler/graph.py | UTF-8 | 2,835 | 3.203125 | 3 | [
"MIT"
] | permissive | from collections import defaultdict, namedtuple
Edge = namedtuple('Edge', ('src', 'dst', 'flags'))
class Graph:
def __init__(self):
self.succ_nodes = defaultdict(set)
self.pred_nodes = defaultdict(set)
self.edges = set()
self.nodes = set()
def __str__(self):
s = ''
... | true |
8e51cda870d3c6db9768b24a5cd1c7474ff0557c | shejianyou/data-news | /other media/白鲸出海.py | UTF-8 | 2,759 | 2.53125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 14 15:02:03 2019
@author: 佘建友
"""
import random
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from lxml import etree
import re
import json
f... | true |
6f26261da862c667c9c0a71be64dea40667103f7 | Koldar/phdTester | /PhdTester/phdTester/tests/test_series_function.py | UTF-8 | 1,684 | 2.890625 | 3 | [
"MIT"
] | permissive | import unittest
from phdTester.default_models import SeriesFunction
class MyTestCase(unittest.TestCase):
def test_01(self):
f = SeriesFunction()
self.assertEqual(f.number_of_points(), 0)
def test_02(self):
f = SeriesFunction()
f.update_point(3, 4)
self.assertEqual(... | true |
05fff14617c294953f6a76e67ed5230fa98ddd44 | Sleeither1234/t0_7_huatay.chunga | /huatay/iterar_ejercicio_05.py | UTF-8 | 306 | 3 | 3 | [] | no_license | #formacion de articulos
import os
vocal=(os.sys.argv[1]) #asigancion de la cadena ae a la variable vocal
for c in vocal: #funcion iteracion de la cadena ae hasta agotar su valor
#fin_iterar
print(c+"l")#se imprime cada valor de la cadena ae + la letra l
print("Fin del bucle")#se imprime un comentario
| true |
61ea88a22d3dcc4fd8802615abfdac04f1965533 | asudeeaydin/event_utils | /lib/data_loaders/hdf5_dataset.py | UTF-8 | 2,964 | 2.6875 | 3 | [
"MIT"
] | permissive | import h5py
from ..util.event_util import binary_search_h5_dset
from .base_dataset import BaseVoxelDataset
import matplotlib.pyplot as plt
class DynamicH5Dataset(BaseVoxelDataset):
"""
Dataloader for events saved in the Monash University HDF5 events format
(see https://github.com/TimoStoff/event_utils for ... | true |
5f8217efb75aacbd2e79a0f8f0cab6467a1448ea | 920666358/neural_network | /nn.py | UTF-8 | 3,956 | 3.25 | 3 | [] | no_license | import numpy
import scipy.special, pylab
import matplotlib.pyplot
class NueralNetwork(object):
# initialise the neural network
def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate):
self.i_nodes = input_nodes
self.h_nodes = hidden_nodes
self.o_nodes = out... | true |
871a1994fff82a2fd052ab295b95f46c54ca755e | developers-youcong/Python-Crawler-Learning | /03/simple01.py | UTF-8 | 203 | 2.9375 | 3 | [] | no_license | import re
m = re.match('www','www.santostang.com');
print('match result:',m);
print('match start and end:',m.span());
print('match start position:',m.start());
print('match end position:',m.end());
| true |
63d7e2b7e4086c22c1f0819ee8f5c9568ac359ef | RookieWithNoob/Deep-Learning | /opencv_demo/test1.py | UTF-8 | 1,668 | 3.28125 | 3 | [] | no_license | import numpy as np
import cv2
# 设置打印时显示方式,threshold=np.nan意思是输出数组的时候完全输出，不需要省略号将中间数据省略
# np.set_printoptions(threshold=np.nan)
# 创建一个宽512高512的黑色画布，RGB(0,0,0)即黑色
img = np.zeros((512, 512, 3), np.uint8)
# 画直线,图片对象，起始坐标(x轴,y轴)，结束坐标，颜色，宽度
cv2.line(img, (0, 0), (311, 511), (255, 0, 0), 10)
# 画矩形，图片对象，左上角坐标，右下角坐标，颜色，宽度
cv2... | true |
0284f95b3cfe3b062dc37fa365053f5bd502bffa | monda00/hackerrank | /python/#56_piling_up.py | UTF-8 | 441 | 3.453125 | 3 | [] | no_license | '''
Piling Up!
'''
if __name__ == '__main__':
for _ in range(int(input())):
input()
cubes = list(map(int, input().split()))
min_cube = cubes.index(min(cubes))
left_cubes = cubes[:min_cube]
right_cubes = cubes[min_cube:]
if(left_cubes == sorted(left_cubes, reverse=T... | true |
adc785dcc40d8192461fa8836e102daf58e2d093 | h2oai/h2o-3 | /scripts/db_check.py | UTF-8 | 6,829 | 2.71875 | 3 | [
"Apache-2.0"
] | permissive | import mysql.connector
'''A Class to get metrics and health of the mysql database located at 172.16.2.178'''
class CheckDB:
def __init__(self):
self = self
'''
Check of whether the mysql databases is up and running.
This will run a quick query to get the mysql version. If it returns anything,... | true |
a20541b4e923742f31567690707727b29810e35b | Dannyerl/Data2Science | /2020-04-24-ML-neural-network/2020-04-24-ML-neural-network.py | UTF-8 | 478 | 2.9375 | 3 | [
"MIT"
] | permissive | import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
data = np.loadtxt('ex3data.txt', delimiter=' ')
X = data[:, 0:400]; y = data[:, -1]
X_train, X_test, y_train, y_test = train_test_split(X, y)
mlp = MLPClassifier(solver='lbfgs', random_state=1).fit... | true |
4f5a6393555d5b066c8756037b78af594306926d | vatsalsaglani/nlp-text-contractions | /NLPContractions/contraction.py | UTF-8 | 9,042 | 2.609375 | 3 | [
"MIT"
] | permissive | import re
from collections import defaultdict
expansionDict = {
re.compile('alright', re.I | re.U): "a'ight",
re.compile('am not|is not|has not|are not|have not|did not', re.I | re.U): "ain't",
re.compile('am not', re.I | re.U): "amn't",
re.compile('are not', re.I | re.U): "aren't",
re.compile('bec... | true |
e880aa20a9e91e27454c0a3280e2412481f20b60 | RamAmireddy/problem_solving | /Python3_programs/heaps/get_kthsmallest.py | UTF-8 | 626 | 3.3125 | 3 | [] | no_license | import heapq
def get_kthsmallest(matrix,k):
if matrix is None or k <= 0:
return 0
ls = [[matrix[0][0], 0, 0]]
mp = set((0, 0))
ans = 0
while k:
k = k - 1
ans, i, j = heapq.heappop(ls)
if i + 1 < len(matrix) and (i + 1, j) not in mp:
heapq.heappush(ls, [ma... | true |
7370e1697e0924de5f07404e38f448e75d436ee4 | DavidPetrus/RL_assignment | /student-pack/policy_model.py | UTF-8 | 2,638 | 2.578125 | 3 | [] | no_license | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch
import ipdb
from torch.utils.data import Dataset
from torch.distributions import Categorical
#################################################... | true |
ac433d2a57348ce22ad785d249efc9521f9df657 | mclose/cli-pipeline-tools | /normalize-rows.py | UTF-8 | 2,076 | 3.359375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Remove rowspans from all tables in a page
# Should probably expand this to deal with colspans too
# Should also copy full tag contents from the first rowspan to
# subsequent rows.
# Example:
# curl -s 'https://en.wikipedia.org/wiki/List_of_2015_albums' | normalize-rows.p... | true |
f8298e83e8e5b7aad9dabdf073bf483afaf566a3 | josephmckinsey/cloudphasesimulation | /python/4D_gif_maker.py | UTF-8 | 1,746 | 2.953125 | 3 | [] | no_license |
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as anim
def import_matrix(file_name):
matrix = {}
with open(file_name, "r") as f:
first_line = f.readline()
first_line = first_line.split(',')
first_line = [int(x) for x in ... | true |
ecc70edaed8e4aa242334f48fddb0f0a7d1af63d | xndcn/completor.vim | /pythonx/completor/utils.py | UTF-8 | 1,307 | 2.78125 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
import logging
import functools
from ._vim import vim_obj
logger = logging.getLogger('completor')
def ignore_exception(fallback=()):
"""Ignore exception raised by the decorated function.
When exception happened the fallback value is returned.
"""
def deco(func):
@f... | true |
9a46ebc66f6bb31fc6b2647d959b90ced457a909 | Rodrigo-Antonio-Silva/ExerciciosPythonCursoemVideo | /Ex0108/test.py | UTF-8 | 366 | 3.515625 | 4 | [
"MIT"
] | permissive | from Ex0108 import moeda
p = float(input('Digite o preço: R$ '))
print(f'A metade de {(moeda.moeda(p))} é {(moeda.moeda(moeda.metade(p)))}')
print(f'O dobro de {(moeda.moeda(p))} é {(moeda.moeda(moeda.dobro(p)))}')
print(f'Aumentando em 10%, temos {(moeda.moeda(moeda.aumentar(p, 10)))}')
print(f'Reduzindo em 13%, temo... | true |
fa4a66afc857d70ba2fab1726c78b3abd76cb71e | Gopinath3/Genesis_Python_Track | /Python Basics/main.py | UTF-8 | 4,709 | 2.96875 | 3 | [] | no_license | import pytest
import re
nonacroom=[1,2,3,4,5]
acroom=[6,7,8]
specialroom=[9,10]
cusid=[]
aname=[]
aage=[]
aaddress=[]
aphno=[]
checkin=[]
checkout=[]
i=0
def Admin():
password="Admin123"
passwd=input("Enter Password :")
if(passwd==password):
return status()
def Sum(a,b):
return a+b ... | true |
10ff7af6cf670819622a4ad2dae203ff5720a2fe | jxtwo10/Spikeballstats | /gameRunner.py | UTF-8 | 7,291 | 3.09375 | 3 | [] | no_license | # spikeball game stat tracker
team1 = 0
team2 = 0
class GameRunner:
print("new game")
class Player:
def __init__(self, name, spikes, aces, assists, saves, faults, errors):
self.name = name
self.spikes = spikes
self.aces = aces
self.assists ... | true |
e4bf57b2e509fa6011367b0b3a81751435c06a87 | Devinlomax/ch2assignment | /number3.py | UTF-8 | 127 | 3.359375 | 3 | [] | no_license | feetperacre = 43560
feetofland = float(input("jow many feet?"))
var= feetofland/feetperacre
print("total acres owned:", var) | true |
0d7eae12c763142b4c1c04f5b91b5b6513f6ade5 | emilybee3/Flask-Madlibs | /madlibs.py | UTF-8 | 3,293 | 3.171875 | 3 | [] | no_license | from random import choice, randint#gets the choice function from random library
from flask import Flask, render_template, request
#importing the class Flask and the functions render_template and request from flask
# "__name__" is a special Python variable for the name of the current module
# Flask wants to know this... | true |
7a226bfd0a8125097f3ff8c4d374b100100b0b2a | josefa-tramon/MCOC2021-P0 | /Entrega 3/timing_inv_caso_1/timing_inv_caso_1.py | UTF-8 | 1,084 | 2.734375 | 3 | [] | no_license | #timing_inv_caso_1.py
from time import perf_counter
from numpy import zeros, dtype
from numpy import half, single, double, longdouble, float16, float32, float64
from numpy.linalg import inv
from laplaciana import laplaciana
Ns = [20,30,50,100,110,120,140,160,180,200,500,800,1000,1100,1200,1300,1500]
dts = []
mem... | true |
6151412ee01f014d5145901e6551603f7d2c17b0 | seunghwako/Algorithm_Python | /for문/boj15552.py | UTF-8 | 203 | 3 | 3 | [] | no_license | import sys
t = sys.stdin.readline().rstrip()
t = int(t)
result = []
for i in range(0, t) :
a,b = map(int, sys.stdin.readline().split())
result.append(a+b)
for r in result :
print(r)
| true |
d8d1e75d8c5e6a9684ac35a1c1c7fccdc084f570 | elephantech/bdateutil | /bdateutil/relativedelta.py | UTF-8 | 12,682 | 2.671875 | 3 | [] | no_license | # python-bdateutil
# ----------------
# Adds business day logic and improved data type flexibility to
# python-dateutil. 100% backwards compatible with python-dateutil,
# simply replace dateutil imports with bdateutil.
#
# Author: ryanss <ryanssdev@icloud.com>
# Website: https://github.com/ryanss/python-bdateut... | true |
346b08f2b38fa41dab9c154af853efe74f491a1e | MichaelGardiner97/Encode-Decode | /Encode:Decode.py | UTF-8 | 3,218 | 4.4375 | 4 | [] | no_license | # Michael Gardiner
# Due: 10-20-15
# Encode/Decode a given phrase by a given shift amount
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
Also know as Caesar's cipher and the Shift cipher, this cyclic cipher
is an example of an encryption technique.
This cipher takes a phrase gi... | true |
44921ce46182465fb2c1d83a898e5432379ad153 | afterimagex/MyD2Ext | /scripts/voctools/vis_voc.py | UTF-8 | 2,158 | 2.578125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# ------------------------------------------------------------
# Copyright (C) 2020-Present, Pvening, Co.,Ltd.
#
# Licensed under the BSD 2-Clause License.
# You should have received a copy of the BSD 2-Clause License
# along with the software. If not, See,
#
# <https://opensource.org/licen... | true |
2671f7bc7117b79e6587f91a7851680892f28a0e | Aasthaengg/IBMdataset | /Python_codes/p03687/s460432055.py | UTF-8 | 204 | 2.765625 | 3 | [] | no_license | s = str(input())
from collections import Counter
cntr = Counter(c for c in s)
ans = 100100
for ch in cntr.keys():
len_max = max([len(arr) for arr in s.split(ch)])
ans = min(ans, len_max)
print(ans) | true |
f29658a280629d5895aaf7fa4ed20a598217e83b | TechGirl254/Training101 | /List.py | UTF-8 | 898 | 4.03125 | 4 | [] | no_license | # list indexing
daysoftheweek=["monday","tuesday","wednesday","thursday","friday","saturday"]
print(daysoftheweek[0])
# printing out three consecutive days
sublist=daysoftheweek[3:4]
print(sublist)
# terminates at three but position 3 is not included
# details of an individula
details=["carole",24,"carole@gmail.com"... | true |
027fd18d40f40dd86f979f550552d1ed3b0efb0d | JohnnyMarlison/math_and_graphic | /Mark_program/painting_ants.py | UTF-8 | 1,952 | 3.046875 | 3 | [
"MIT"
] | permissive | import pygame as pg
from collections import deque
from random import choice, randrange
class Ant:
def __init__(self, app, pos, color):
self.app = app
self.color = color
self.x, self.y = pos
self.increments = deque([(1, 0), (0, 1), (-1, 0), (0, -1)])
def run(self):
valu... | true |
28a046be18e5df1b6e79dc6614700293f88fac60 | fominpskov/python_Project11 | /main.py | UTF-8 | 250 | 3.328125 | 3 | [] | no_license | user_input = input("please enter someting")
print(type(user_input))
a = float(input("side A:"))
b = float(input("side B:"))
c = float(input("side C:"))
half_P = (a + b + c)/2
area = (half_P * (half_P - a)*(half_P - b)*(half_P -c))**0.5
print(area)
| true |
5c4434864b14dd8c7cad2aee502f14fae1f058d4 | imsoftware/pyoidc | /src/oic/utils/jwt.py | UTF-8 | 7,963 | 2.765625 | 3 | [] | no_license | """JSON Web Token"""
# Most of the code herein I have borrowed/stolen from other people
# Most notably Jeff Lindsay, Ryan Kelly
import base64
import json
import logging
import re
import M2Crypto
import hashlib
import hmac
import struct
#import binascii
#import rsa
from itertools import izip
logger = logging.getLog... | true |
d136d087230885c1384d8ba76079d2e37fe04943 | AdamZhouSE/pythonHomework | /Code/CodeRecords/2526/59018/265258.py | UTF-8 | 119 | 2.984375 | 3 | [] | no_license |
print(input())
info=input()[1:-1].split(',')
a=[int(y) for y in info if y!='null']
print(a)
| true |
003a461cbbeeb3d51ea395f6c575d7e9458b3422 | lumixraku/my-manim | /正十七边形的尺规作图.py | UTF-8 | 50,002 | 3.046875 | 3 | [] | no_license | class polygon17_scene1(Scene):
def construct(self):
text = Text("Definition 1.A point is that which has no part.", font='未署名的信')\
.scale(0.6).shift(UP*2)
text_supplement = Text("点是没有部分的东西", font='未署名的信')\
.next_to(text,DOWN).shift(RIGHT)
text[0:10].set_color('#EE9A00... | true |
996def740eb96ac638cecba9a5ba0507f208b6be | tgkei/Algorithm_study | /by_python/skt/2.py | UTF-8 | 748 | 3.390625 | 3 | [] | no_license | # you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(A, F, M):
# write your code in Python 3.6
total = M * (len(A) + F)
start = 1
needed = total - sum(A)
if start * F > needed: return [0]
while (((start+1) * F) < needed) and start < 6:
s... | true |
098b1d322721f2a58d7a10c75c47a34aea465799 | PacificDou/algorithm | /coding/segment_tree_v2.py | UTF-8 | 5,080 | 3.328125 | 3 | [
"MIT"
] | permissive | # PushDownLazy (children.value + children.lazy): https://blog.csdn.net/zearot/article/details/48299459
# at any time, the lazy is already applied to the value
# there is another type of PushDownLazy (self.value + children.lazy) similar to: https://halfrost.com/segment_tree/
class Node:
def __init__(self, left... | true |
01ef6bbd7b53f334a2686c083403cf6f694ded05 | 02Debaditya-Mukhopadhyay/Sales-Analysis | /Analysis.py | UTF-8 | 4,777 | 3.484375 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# ### TASK1: Import panda libary
#
# In[106]:
import pandas as pd
import os
import matplotlib.pyplot as plt
from itertools import combinations
from collections import Counter
# ### Task2: Collate monthly sales
#
# In[10]:
files=[file for file in os.listdir('./Sales_Data'... | true |
0d31015cb0e73690c45fb2140b7edea2c3d1c992 | doublejy715/Problem-Solve | /BaekJoon_Online/Math/No_1977.py | UTF-8 | 584 | 3.75 | 4 | [] | no_license | import math
a = int(input())
b = int(input())
c = list()
for i in range(a,b+1):
print(math.sqrt(i))
print(int(math.sqrt(i)))
if math.sqrt(i) == int(math.sqrt(i)):
c.append(i)
if len(c) == 0:
print("-1")
else:
print(sum(c))
print(min(c))
"""
# for 문이 2개이기 때문에 시간이 너무 오래 걸린다.
M = int(in... | true |
25b8c0b2cfc07823e7ae2f698d993a3ea8dc522b | Azii/Projekte | /Hex/src/main.py | UTF-8 | 164 | 2.90625 | 3 | [] | no_license | from turtle import *
from Hexagon import Hexagon
t = Turtle()
t.hideturtle()
t.speed = 0
Hexagon.create_n_by_n_grid(5, 40)
Hexagon.setTurtle(t)
Hexagon.draw_all() | true |
31778c98f549a38efee12b56e89d10828db91b65 | NightBaRron1412/Py-learning-projects | /gussing_game.py | UTF-8 | 1,747 | 4.625 | 5 | [] | no_license | from random import randint
print("""
WELCOME TO AMIR'S FIRST PYTHON PROGRAMM !!
I'm gonna pick a random integer from 1 to 100, and you have to guess the number. The rules are:
1. On your first turn, if your guess is
* within 10 of the number, I'm gonna say "WARM!"
* further than 10 away fr... | true |
1bb982491bc9716d1cf97c955f5d580bffec3639 | zackmdavis/Exercises_A | /Modern_Compiler_Design/1_demo.py | UTF-8 | 2,880 | 3.484375 | 3 | [] | no_license | import logging
import sys
def is_layout_character(ch):
return ch in " \t\n"
class Token:
def __init__(self, ch):
self.classification = "digit" if ch in "0123456789" else ch
self.representation = ch
def __repr__(self):
return "{}Token('{}')".format(
"Digit" if self.cla... | true |
a28d5bc3d0edd6003b6fba6ef574040ae4105f6a | sprax/1337 | /python2/l0207_course_schedule.py | UTF-8 | 2,381 | 3.328125 | 3 | [] | no_license | # BFS topological sorting.
class Solution(object):
def canFinish(self, numCourses, prerequisites):
"""
:type numCourses: int
:type prerequisites: List[List[int]]
:rtype: bool
"""
from collections import defaultdict
# From prerequisite course to coures... | true |
6e2cb73758d8d7d4971d97f2ccf70ee231683cda | DonneyF/MECH-325-Assignments | /A1/gears.py | UTF-8 | 15,069 | 2.984375 | 3 | [] | no_license | import json
import math
# Gear Class. Loads JSON data and runs methods
class Gear:
# Constants
m_n = 1 # Load sharing ratio
v_p = 0.3 # Poisson's Ratio for pinion
v_g = 0.3 # Posson's Raion for gear
load_cycles = 2E4 # Number of load cycles
Q_v = 5 # Calculated that the maximum allowable pit... | true |
7f4c02217171b1f8bb20eccf61f52d04a2bd6c7d | priya6265/AI-ML-Python | /Python Training/Grading System.py | UTF-8 | 394 | 3.9375 | 4 | [] | no_license | print("Enter Marks of student: ")
mark=int(input())
if mark<25:
print("Your Grade is F")
elif mark>25 and mark<45:
print("Your Grade is E ")
elif mark>45 and mark<50:
print("Your Grade is D ")
elif mark>50 and mark<60:
print("Your Grade is C")
elif mark>60 and mark<80:
print("Your Grade is B ")
elif... | true |
636621c099a0d514bd5df556ad72a8f675d9a1bd | Agwave/PDF-Resume-Information-Extraction | /debug.py | UTF-8 | 9,873 | 2.515625 | 3 | [] | no_license | # s = "wef:fw：few"
#
# print(s.split(':'))
#
# import os
# import re
#
# TRAIN_PDF_PATH = '/home/agwave/Data/resume/resume_train_20200121/pdf'
# ORIG_TXT_PATH = '/home/agwave/Data/resume/resume_train_20200121/orig_txt/f2be69555427.txt'
#
#
#
# def read_txt(path):
# info = []
# with open(path, 'r') as f:
# ... | true |
49b2649a1f71b9673fc91d33e499e96421fc9b02 | ansarishadab121/ZS-associate-competition | /zs_associate_competition..py | UTF-8 | 1,722 | 2.84375 | 3 | [] | no_license | #In[7]:
import pandas as pd
import numpy as np
import os
from sklearn.model_selection import train_test_split
# In[8]:
os.getcwd()
# In[9]:
import warnings
warnings.filterwarnings("ignore")
# In[10]:
data=pd.read_csv('dtu.csv')
data=data.fillna(data.mean(),inplace=True)
train, test = train_test_split(da... | true |
50218d06c3e1d01d85f7ba452f865ba8f00273ac | rcoder/bouncer | /bouncer/web.py | UTF-8 | 4,295 | 2.578125 | 3 | [
"MIT"
] | permissive | # Copyright 2013 by Urban Airship and Lennon Day-Reynolds <lennon@urbanairship.com>
# See license information in COPYING.
import re
from flask import Flask, redirect, render_template, request, url_for
app = Flask(__name__)
from bouncer.db import q, iq
# Generic helpers
def make_url_dict(row):
url_id, slug, full... | true |
697a7a08aadf8a2c747f96c3ccc954ab9846d897 | huangruihaocst/leetcode-python | /401. Binary Watch/solution.py | UTF-8 | 1,202 | 3.0625 | 3 | [] | no_license | class Solution:
def readBinaryWatch(self, num):
"""
:type num: int
:rtype: List[str]
"""
res = list()
from itertools import permutations, product
for up in range(5):
down = num - up
if down < 0 or down > 6:
continue
... | true |
6f2c836d489d81712d0891f5b9aaeff2e92d954c | Aasthaengg/IBMdataset | /Python_codes/p02414/s955188324.py | UTF-8 | 862 | 3.140625 | 3 | [] | no_license | import sys;
def mul_matrix(a, b):
n = len(a);
m = len(b);
l = len(b[0]);
ans = [];
for i in range(n):
new_row = [];
for j in range(l):
sum = 0;
for k in range(m):
sum += a[i][k] * b[k][j];
new_row.append(sum);
ans.a... | true |
bbcddfde452ce2d0de1960d4d74dfae27b96283c | not-mike-smith/ProfilingCython | /PythonNetwork/NetworkMgr.py | UTF-8 | 476 | 2.75 | 3 | [] | no_license | from collections import OrderedDict
_node_queue = OrderedDict()
_all_nodes = []
def register_node(node):
_all_nodes.append(node)
def enqueue(node):
_node_queue[node] = None
def run_one_node():
q = _node_queue.keys()
node = next(n for n in q if n.inputs_not_dirty)
# if the next() call raises ... | true |
b70e2e351b46c86a59eefbdfada8f2363bd8c24f | shwetakadupccm/pccm_db_sk | /sql/add_update_sql_changed.py | UTF-8 | 9,516 | 2.78125 | 3 | [] | no_license | import helper_function.ask_y_n_statement as ask
import add_edit.add_new as add_new
import add_edit.edit_record as edit_record
def update_single(conn, cursor, table, column, file_number, var):
# update a single column in a sql db. Key is file_number.
sql_update = "UPDATE " + table + " SET " + column + "= ... | true |
e46d860fe5d5c372acf2c57ff782d53f2da9a442 | fenglin-star/Python_Projects | /drop_projiects/Preschool_education/python_def/mail_send.py | UTF-8 | 1,331 | 2.71875 | 3 | [] | no_license | #! /usr/bin/env python
#coding=utf-8
from email.mime.text import MIMEText
from email.header import Header
from smtplib import SMTP_SSL
def send_usermail(mail_title,mail_content,receiver):
#qq邮箱smtp服务器
host_server = 'smtp.qq.com'
#sender_qq为发件人的qq号码
sender_qq = '1094470534@qq.com'
#pwd为qq邮箱的授权码
... | true |
b96d289a8915d9b1ad8262ea6aefb77dc0f9213c | rene-d/math | /projecteuler/p028.py | UTF-8 | 194 | 3.171875 | 3 | [
"MIT"
] | permissive | """
Number spiral diagonals
https://projecteuler.net/problem=28
"""
somme = 1
n = 1
for i in range(1, 1 + 1001 // 2):
for _ in range(4):
n += i * 2
somme += n
print(somme)
| true |
f77e22c3a016476d587637f3873fe4f4ca392fde | jiewu-stanford/leetcode | /369. Plus One Linked List.py | UTF-8 | 1,938 | 3.890625 | 4 | [] | no_license | '''
Title : 369. Plus One Linked List ($$$)
Problem : https://leetcode.com/problems/plus-one-linked-list/
: https://www.lintcode.com/problem/plus-one-linked-list/description
'''
# Definition of ListNode
class ListNode(object):
def __init__(self, val, next=None):
self.val = val
self.n... | true |
2425931fcae89d83abf5b2fdf2870ae628585545 | py-bootcamp/learn-python-with-tdd | /hello-world/v6/test_hello.py | UTF-8 | 507 | 3.5 | 4 | [
"MIT"
] | permissive | from hello import hello
def test_hello_without_name():
got = hello()
want = "Hello, World"
assert got == want
def test_hello_with_name():
got = hello("Christian")
want = "Hello, Christian"
assert got == want
def test_hello_with_name_in_spanish():
got = hello("Christian", "Spanish")
... | true |
fde38b2a398c515e6970674dd121c0b335b6d6a1 | psy2848048/funfun_pundix | /scheduled_job/crawl.py | UTF-8 | 5,711 | 2.578125 | 3 | [] | no_license | from decimal import Decimal
from datetime import datetime, timedelta
import sys
import traceback
from steem import Steem
from dbConn import DBActions
# 스팀잇에서 현황 긁어오는데 사용
class SteemPosting(object):
def __init__(self):
self.steem = Steem()
self.account = "funfund"
overview = self.steem.ge... | true |
ed0f78f1a0e319f5b7248e92c32ef67338dc1fe3 | sanskrit/learnsanskrit.org | /lso/sml/render.py | UTF-8 | 2,455 | 2.734375 | 3 | [] | no_license | import re
from typing import List, Dict
import lso.sml.parse as parser
from lso.sml.parse import Node, Text
from lso.sml.templates import View, TextView
from lso.sml.templates import TEMPLATES
class Missing(View):
"""Template for nodes that can't be understood."""
def enter(self):
return '<span st... | true |
96e7ae9d893ce4d415ffc9926663c3c0888a5e4a | noahbetik/Spring2019Project | /EV3Motion/listen.py | UTF-8 | 425 | 2.953125 | 3 | [] | no_license | #!/usr/bin/env python3
import serial
from time import sleep
port = "/dev/ttyUSB0" #example port, update once found
ser = serial.Serial(port, 38400, timeout=0)
def receive():
data = ser.read(9999)
if len(data) > 0:
offsetSpin, offsetLift = data.split()
print (offsetSpin, offsetLift)
#t... | true |
df509fbe1e2bbcf3f875e17fe8cfa21ed6adfe1b | LoveHRTF/tic-tac-toe | /vertex.py | UTF-8 | 2,632 | 3.5 | 4 | [] | no_license | import numpy as np
import copy
import random
# Class for vertex
# One vertex repersents a step in the game
class Vertex:
def __init__(self, vertex):
""" Initialize vertex class. Require vertex to be 3x3 numpy array"""
self.adjacent = []
self.vertex = vertex
def set_children(self, verte... | true |
7bf669018aa4c08ae1a5774b3353bf00df90fdbf | kongjiadongyuan/How2LearnKernel | /scripts/hook.py | UTF-8 | 1,879 | 2.59375 | 3 | [] | no_license | HOOK_FUNCTION_STR = """probe kernel.function("{0}"){{
if (execname() == "{1}"){{
printf("%s -> {0} (%s)\\n", thread_indent(2), $$parms)
}}
}}
probe kernel.function("{0}").return{{
if (execname() == "{1}"){{
printf("%s <- {0} (%s)\\n", thread_indent(-2), $$return)
}}
}}
"""
HOOK_SYSCALL... | true |
7ff32df93cf6fa13f8f4b78599beaecd91dbbbd2 | karanrampal/triplet-loss | /visualization.py | UTF-8 | 3,972 | 2.75 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
"""Visualize the model"""
import argparse
import logging
import os
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
import utils
from model.net import Net
import model.data_loader as d_l
def args_parser():
"""Parse commadn line arguments
"""
parser... | true |
0d5150bc47a9d801d12ecb30fcb2b9be2b954fe6 | gaddamhareesh/sample1 | /azure_secrtes.py | UTF-8 | 2,897 | 2.765625 | 3 | [] | no_license | import requests
import os
import sys
## Token(bearer_all_vaults_token) for listing all the existing vaults.
data = {
'grant_type': 'client_credentials',
'client_id': 'a4735b5a-a10d-441a-8ea5-74a9d747d510',
'client_secret': '@7F:X-:9ldp6bT7kVHH7dVs4LScG69a/',
'resource': 'https://management.azure.com/'
}
all_vaults = ... | true |
ae355c8675bbbc6e064c0dae4c18079a7678df52 | asifm37/personal-projects | /ATM_Simulation/classes/Accounts.py | UTF-8 | 5,921 | 2.828125 | 3 | [] | no_license | import pickle
SB_MIN_BAL = 2000
CA_MIN_BAL = 10000
class Account:
account_number = 0
__account_password = None
__account_balance = 0
_account_type = None
_account_holder_name = None
_account_branch = None
__accounts_dict = {}
__account_db_file = "resources/accounts_list.data"
_las... | true |
5d7d746566410a6bcdc65c14d0c07cbc14f0bbdc | pooja1506/Beginner_python_code | /nestedLoops_2Darray/pig_latin_word.py | UTF-8 | 1,047 | 4.59375 | 5 | [] | no_license | """ Write a method pig_latin_word that takes in a word string and translates the word into pig latin. """
# Pig latin translation uses the following rules:
# - for words that start with a vowel, add 'yay' to the end
# - for words that start with a nonvowel, move all letters before the first vowel to the end of the w... | true |
1581f32a22afa4c41d0d410a3b54803160d301f3 | walkmiao/Little_Case | /计算字符串中每个字符出现次数.py | UTF-8 | 817 | 3.953125 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/4/28 13:17
# @Author : LCH
# @Site :
# @File : 计算字符串中每个字符出现次数.py
# @Software: PyCharm
#通过使用dict的setdefault方法巧妙计算 字符串中每个字符出现的次数 进而打印出次数最多的字符
s='i am A pure man,i love study,swimming and basketball!'
d={}
for i in s:
d.setdefault(i,0)
d[i]=d... | true |
855360d65b402d32166722cad5f6f05885c2e167 | rahlk/LeetCode | /22_all_paranthesis.py | UTF-8 | 1,488 | 3.234375 | 3 | [
"MIT"
] | permissive | from pdb import set_trace
class AllParanthesis:
def solution_recur(self, n):
"""
A recursive solution
:type n: int
:rtype: List[str]
"""
def paranthesize(string, left, right, N, combinations):
if left == N and right == N:
combination... | true |
6fa129bc21f75c6580835416c58ba06aaa62e5a7 | liuxinren456852/PointCloudWiresPolesClassifier | /src/tools/pc_tools.py | UTF-8 | 23,015 | 2.59375 | 3 | [] | no_license | from pathlib import Path
import shutil
import laspy
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import pylab as pl
from descartes import PolygonPatch
from scipy.spatial import Delaunay
from shapely.ops import cascaded_union, polygonize
import shapely.geometry as geometry
from... | true |
42ce89f0beffa5400633ba476571ae6415500976 | relaxdiego/mobility | /mobility/framework/configuration.py | UTF-8 | 2,579 | 3.15625 | 3 | [
"MIT"
] | permissive | import os
import yaml
class Configuration:
# ==========
# EXCEPTIONS
# ==========
class LoadError(Exception):
def __init__(self, path, extra_info):
message = "The config file could not be found at %s. Please " \
"make sure that the file is present and valid... | true |
93a0e2a30b54781f1e01d63ee3de466852524cec | hmonds/Mood-Food.github.io | /mood-food/main.py | UTF-8 | 6,521 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | true |