blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 2 333 | src_encoding stringclasses 30
values | length_bytes int64 18 5.47M | score float64 2.52 5.81 | int_score int64 3 5 | detected_licenses listlengths 0 67 | license_type stringclasses 2
values | text stringlengths 12 5.47M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
96f481ddd9b680288f9231bfdb4eebfb5ac0c007 | Python | MirrorrorriN/leetcode | /python/leetcode_151.py | UTF-8 | 640 | 3.625 | 4 | [] | no_license | class Solution(object):
def reverseWords(self, s):
"""
:type s: str
:rtype: str
"""
# can use function s.strip() instead
start=0
while(s[start]==' '):
start+=1
end=len(s)-1
while(s[end]==' '):
end-=1
s=s[sta... | true |
f1d299b3942e4b0cc02425381d105ee6e41d492f | Python | ezorfa/Programming-Concepts | /Event Driven Programming.py | UTF-8 | 884 | 4.09375 | 4 | [
"MIT"
] | permissive | # Example of a event driven programming using a small applicaiton: Chat Bot!
# Author: Mohammed Afroze
class MessageBot:
def __init__(self):
self.callbacksDict = {}
self.registerCallback("Hi", self.respond_to_hi) # Define the function
self.registerCallback("Hello", self.respond_to_hello) # Define the fun... | true |
f78f73cfb1a25b95a5bf0c7f9d6928a1968c7bea | Python | ZumeITInc/Shiva | /loops001.py | UTF-8 | 186 | 3.203125 | 3 | [] | no_license | x=[1,2,3]
for n1 in x:
pass
s1='swing'
for l1 in s1:
if l1=='s':
continue
print(l1)
s2='sweet'
for l2 in s2:
if l2=='e':
break
print(l2)
| true |
602df01b6acbe6ec828a669a19365de28e2aee9f | Python | FC-TRONTO/raspi_FcTronto | /motorContl.py | UTF-8 | 24,074 | 2.609375 | 3 | [] | no_license | # coding: UTF-8
from serialCom import SerialController
import time
from enum import Enum
from debug import ERROR, WARN, INFO, DEBUG, TRACE
import os
import ConfigParser
# ボール保持状態用列挙型
class BallStateE(Enum):
HAVE_BALL = 0
NOT_HAVE_BALL = 1
# モータ制御用クラス
class MotorController:
#移動アルゴリズム切り替え用変数
DEBUG_SHOO... | true |
1ee9b70e72095cefe57b74b959e3d3239b02d936 | Python | alexZajac/muzero_experiments | /Minimax_alpha_beta/board.py | UTF-8 | 8,908 | 3.5 | 4 | [] | no_license | import os
import math
from copy import deepcopy
from utility import *
RED = '\033[1;31;40m'
RED_BG = '\033[0;31;47m'
BLUE_BG = '\033[0;34;47m'
YELLOW = '\033[1;33;40m'
BLUE = '\033[1;34;40m'
MAGENTA = '\033[1;35;40m'
CYAN = '\033[1;36;40m'
WHITE = '\033[1;37;40m'
# make an empty board
def initializeB... | true |
2f9b02fb741d112553df5db19714c6c7cf2c79a3 | Python | TarosGitHub/ImageProcessingLab | /Algorithm/src/test_ImageProcessing.py | UTF-8 | 4,310 | 2.84375 | 3 | [] | no_license | import unittest
import os
import ImageProcessing as ip
IMG_DIR = '../img'
COLOR_IMAGE_PATH = '../../SIDBA/Color/Lenna.bmp'
COLOR_IMAGE_HEIGHT = 256
COLOR_IMAGE_WIDTH = 256
GRAYSCALE_IMAGE_PATH = '../../SIDBA/Mono/LENNA.bmp'
GRAYSCALE_IMAGE_HEIGHT = 256
GRAYSCALE_IMAGE_WIDTH = 256
class TestImage_init(unittest.TestCas... | true |
937908b6270e0225d3b3f64334dbb5e08a988118 | Python | davclark/mrFiles | /server_code/mrFiles_file.py | UTF-8 | 5,709 | 2.640625 | 3 | [
"Apache-2.0"
] | permissive | # This class should never know anything about network connections, the web, etc.
from tables import openFile, Leaf, Group
import numpy
from time import ctime
class local_h5_repos:
"""A class to manage an actual local repository
I want to guarantee that methods always return properly, but
this may not be ... | true |
479cd76e6b120e5bd03ad50ffab7c8535f651d2c | Python | SofiiaShumel/flask_heroku_project | /root/forms/category.py | UTF-8 | 326 | 2.578125 | 3 | [] | no_license | from wtforms import StringField, Form, IntegerField
from wtforms import validators
class CategoryForm(Form):
category_name = StringField('Name: ', [
validators.DataRequired(),
validators.Length(min=4, max=30)])
amount = IntegerField('Amount: ',
[validators.NumberRange(min=0, max=1000... | true |
5831499c6eb6f4334b4791a07e34c2fedaabd2d0 | Python | chenglusong/crawler | /server/strategy/commonFunction.py | UTF-8 | 193 | 3.078125 | 3 | [] | no_license | #coding=utf-8
# 数组去重#
def removeDuplicates(array):
news_array=[]
for m in array:
if m not in news_array:
news_array.append(m)
return news_array
| true |
50a2b717a5a213c09796f2c771d3d76c6fbacaf2 | Python | WhackingCheese/Kattis-Problems | /problems/hkio.py | UTF-8 | 309 | 2.953125 | 3 | [] | no_license | n = int(input())
r = [int(x) for x in input().split()]
start = 0
finish = 0
s = False
v = max(r)
for i in range(n):
if r[i] == v:
if not s:
s = True
start = i
else:
if s == True:
finish = i-1
break
s = False
print(start, finish) | true |
6b95fa58b3d9d7eb5b14b23a4d16d20b0c9a8e38 | Python | kwura/python-projects | /Foundations of Programming/good_logic1.py | UTF-8 | 684 | 3.3125 | 3 | [] | no_license | def fix_teen(n):
if n ==13 or n == 14 or n == 17 or n ==18 or n ==19:
n = 0
return n
def no_teen_sum(a, b, c):
a = fix_teen(a)
b = fix_teen(b)
c = fix_teen(c)
return a + b +c
import math, random
def count_double(st):
index = 0
count = 0
switch = True
while(index < (len(st) - 1)):
if(switc... | true |
74c2ae8c4682b00c492a44481574bc98656741a4 | Python | fdantas78/machine_learning | /src/IrisDataAnalysis.py | UTF-8 | 1,968 | 3.0625 | 3 | [] | no_license | '''
Created on Nov 27, 2017
@author: fernando
'''
import pandas
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
... | true |
5e0a3a3f4c19ac1570bd9ca93f732c41c8460aec | Python | AdamZhouSE/pythonHomework | /Code/CodeRecords/2702/60627/238865.py | UTF-8 | 131 | 2.84375 | 3 | [] | no_license | # 7
grid = []
grid.append(input())
grid.append(input())
grid.append(input())
grid.append(input())
grid.append(input())
print(grid) | true |
f7820caed225397ef3963dbad32ca7ed205a2a6e | Python | daniel-reich/ubiquitous-fiesta | /YK9fWNBbRJ9PEc4wR_20.py | UTF-8 | 59 | 2.765625 | 3 | [] | no_license |
def tuck_in(lst, lst2):
return [lst[0]]+lst2+[lst[-1]]
| true |
44917edc7236544be8da0f7d9c105809d99b8731 | Python | salvador-dali/algorithms_math | /training/02_number-theory/07_manasa-loves-maths.py | UTF-8 | 1,334 | 3.40625 | 3 | [] | no_license | # https://www.hackerrank.com/challenges/manasa-loves-maths
# the number is divisible by 8 only if the last 3 numbers are divisible by 8
# so create a list of hashes of all possible numbers from 1 to 1000 which are divisible by 8
# then create the hash2 of the number and check whether at least one of the hashes in a lis... | true |
fdd73382ada6934571f058b64184068510295f23 | Python | Bunzi14/C200 | /mguesspartial.py | UTF-8 | 1,673 | 3.546875 | 4 | [] | no_license | from tkinter import *
import random as rn
window = Tk()
window.geometry('350x350')
window.title("C200")
x = rn.randint(0,100)
y = rn.randint(0,100)
correct, incorrect = 0,0
total = 0
myLabel = Label(window, text="{0}+{1}=".format(x,y), font=("Arial Bold", 15))
myLabel.grid(column=0, row=0)
myLable2 = La... | true |
e03d2273472e9d370c110a666f129f77b0895a8f | Python | elpiniki/pythonista | /test3.py | UTF-8 | 374 | 3.765625 | 4 | [] | no_license | #why it does not work?
def invert(param):
"""This function inverts the contents of the array"""
i = 1
l = len(param)
while i<l:
head = [param[0]]
tail = param[1:l]
param = tail + head
i = i + 1
break
return param
if __name__ == "__main__":
d1 = ["a", "dog", "plays", "with", "othe... | true |
98bc7c27b15b813175eb24bf0dd7cf43c89ab1ff | Python | lateotw/hacker_rank | /florist.py | UTF-8 | 821 | 3.46875 | 3 | [] | no_license | n, k = list(map(int, input().split())) # n=number of flowers, k=people
cost = list(map(int, input().split())) # cost of each flower
def price(n, k, cost):
price = 0
cost = sorted(cost, reverse=True)
# print(cost)
go_around = n // k # go around the people
for j in range(go_around): # for each ... | true |
a69abad48e14e411be524d3e83ccbc1874bf93a8 | Python | atimms/ratchet_scripts | /scripts/cherry_single_cell_hu1_test_ub60_0817.py | UTF-8 | 1,602 | 2.84375 | 3 | [] | no_license | #!/usr/bin/env python
import numpy as np
import sys
import os
##parameters
delim = '\t'
##working dir
working_dir = '/data/atimms/cherry_single_cell_0717/hu1_test'
os.chdir(working_dir)
def transpose_file(infile, outfile):
with open(infile, 'r') as file, open(outfile, 'w') as final:
#make list for each line
a =... | true |
3bb6649505d3902d8f8aaad8c31aa594b0bb9016 | Python | zoulala/exercise | /leetcode/BT_ismirror.py | UTF-8 | 886 | 3.796875 | 4 | [] | no_license | """
给定一个二叉树，检查它是否是镜像对称的。
例如，二叉树 [1,2,2,3,4,4,3] 是对称的。
1
/ \
2 2
/ \ / \
3 4 4 3
但是下面这个 [1,2,2,null,3,null,3] 则不是镜像对称的:
1
/ \
2 2
\ \
3 3
"""
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# ... | true |
541f45b9a950a2a5cbdfde007792bb7da141dd50 | Python | StanislavYermolenko/ITEA_HW | /ITEA_HW/hw6/hw6_4.py | UTF-8 | 272 | 3.59375 | 4 | [] | no_license | while True:
try:
y = int(input('input a year: '))
except ValueError:
print('its not a number')
exit(1)
if y % 4 != 0 or (y % 100 == 0 and y % 400 != 0):
print('its not a leap year')
else:
print('this is leap year!')
| true |
38dc0769e81c00506850b6812bccc8a5ce792e44 | Python | payton1004/ml_articles | /mlmastery/Develop_a_Neural_Network_for_Banknote_Authentication/kutils/analysis/boxplot.py | UTF-8 | 1,852 | 2.796875 | 3 | [] | no_license | import math
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import seaborn as sns
import matplotlib.pyplot as plt
from kutils.analysis import GeneralPlotUtils
from functools import partial
class Utils(GeneralPlotUtils):
def __init__(self, data, figsize=(2... | true |
aaf41ebd81c1a783f827d929549430a87da18ee7 | Python | HaleySchuhl/hsi_toolkit_py | /signature_detectors/ace_detector.py | UTF-8 | 1,708 | 2.546875 | 3 | [
"MIT"
] | permissive | import sys
sys.path.append('../util/')
from img_det import img_det
import numpy as np
def ace_detector(hsi_img, tgt_sig, mask = None, mu = None, sig_inv = None):
"""
Squared Adaptive Cosine/Coherence Estimator
Inputs:
hsi_image - n_row x n_col x n_band hyperspectral image
tgt_sig - target ... | true |
552f2ab7f34e84c161b8f52a2606c73c284a4be5 | Python | Matt-Lemcke/Spotify-Buttons | /Spotify_Buttons.py | UTF-8 | 470 | 2.671875 | 3 | [] | no_license | #Run module to use the arduino to interact with spotify
import serial
import time
import pyautogui
ArduinoSerial = serial.Serial('com3',9600)
time.sleep(2)
while 1:
incoming = str (ArduinoSerial.readline())
print incoming
if 'pause' in incoming:
pyautogui.typewrite(['space'], 0.2)
... | true |
530015afac06b4ad588051ef5ff4831c6dd14d52 | Python | Mipanox/GPI_stuff | /codes/opt.py | UTF-8 | 12,176 | 2.578125 | 3 | [] | no_license | """
Codes for simulator of optics.
Fourier optics for APLC optical path in 4 bands:
- Primary/secondary mirror
- Apodizer and gratings
- Focal plane mask
- Lyot stop
Bands:
- Y band : 1.02 um
- J band : 1.22 um
- H band : 1.65 um
- K band : 2.19 um
// Note: APLC stands for "Apodized Pupil Lyot Coronagraph"
... | true |
072c250af7eb694f365aad080c0dd672a9dad42a | Python | Someshwaran/Python-Basics | /python-samples/hackerrank-solved/captilized.py | UTF-8 | 566 | 3.359375 | 3 | [] | no_license | def main_m(string):
sp_stirng = string.split(' ')
for st in sp_stirng:
print(st,end=' -- ')
#ending of the list
length = len(sp_stirng)
print('length ',length)
print(sp_stirng[0],' end ',sp_stirng[length-1])
np_string = sp_stirng[0].capitalize()
for index in range(1,len... | true |
394cf4f6c1e5a70d01b62a2b052ab388c5afa763 | Python | jerrycmh/leetcode | /Search/39_Combination_Sum.py | UTF-8 | 686 | 2.859375 | 3 | [] | no_license | class Solution(object):
def combinationSum(self, candidates, target):
"""
:type candidates: List[int]
:type target: int
:rtype: List[List[int]]
"""
def dfs(cur_list, res):
if sum(cur_list) == target:
if sorted(cur_list) not in res:... | true |
261686f7d4443ed80ae986ff3d40b529e90b07aa | Python | komo-fr/AtCoder | /others/diverta2019/c/main.py | UTF-8 | 744 | 3.1875 | 3 | [] | no_license | #!/usr/bin/env python3
N = int(input().split()[0])
s_list = []
a_list = []
b_list = []
ab_list = []
ab_count = 0
for _ in range(N):
s = input()
s_list.append(s)
ab_count += s.count("AB")
if s[0] == "B" and s[-1] == "A":
ab_list.append(s)
elif s[0] == "B":
b_list.append(s)
elif s... | true |
b916aa9806eb1a6c567aef7b4708839c9700a922 | Python | cadizm/euler | /euler/grid/grid.py | UTF-8 | 3,169 | 3.21875 | 3 | [] | no_license | #!/usr/bin/env python
def print_grid(N):
for i in range(1, N * N + 1):
print '{0:4d}'.format(i),
if i % N == 0:
print
class Grid():
def __init__(self, N, G):
self.N = N
self.buf = [i for i in G]
def neighbors(self, start):
'Neighbors w/ distance <= 3'... | true |
ee454b1609e2fe090b76bf0383834c6e7aa800a2 | Python | sudharkj/cs575 | /proj04/src/analyze_results.py | UTF-8 | 2,647 | 2.9375 | 3 | [] | no_license | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# load the dataframe
df = pd.read_csv('../data/results.csv')
# simulation types
sim_types = [
'SIMD alone',
'1 core alone',
'2 core alone',
'4 core alone',
'8 core alone',
'SIMD + 1 core',
'SIMD + 2 core',
'SIMD ... | true |
049b2931586761e0bc7c11e561433ff0ca613571 | Python | findimue/hello-world | /Rochambeauifelse.py | UTF-8 | 1,650 | 3.578125 | 4 | [] | no_license | PlayerOne = raw_input("Rock, paper, scissors? ").lower()
PlayerTwo = raw_input("Rock, paper, scissors? ").lower()
x = ('rock')
y = ('paper')
z = ('scissors')
if PlayerOne == x:
if PlayerTwo == x:
print("Draw.")
else:
if PlayerOne == y:
if PlayerTwo == y:
pr... | true |
26df285752aa4894d9c0bcae1b2b3666afe8e7fc | Python | zenrandom/waveshare-eink | /BW-2.7HAT/loader.py | UTF-8 | 1,089 | 2.96875 | 3 | [] | no_license | ## author @zenrandom
# based on code: Yehui from Waveshare
##
import epd2in7
import Image
import ImageFont
import ImageDraw
import os, fnmatch
def main():
epd = epd2in7.EPD()
epd.init()
imagefile= raw_input("Please name the file you want to draw to screen (for a list of files in the current direct... | true |
5ce17c5bd9f6db884c5a58d66a3b5ee883d3e48c | Python | Darkaken/PM-Project | /Code/functions.py | UTF-8 | 7,183 | 3.375 | 3 | [] | no_license | import os
from statistics import mean
############################## Important Activity Definition #################################
los_jinetes = ["Puncture", "Guidewire install", "Remove trocar", "Advance catheter", "Remove guidewire"]
los_jinetes += ["Widen pathway", "Remove syringe"]
############################... | true |
24339b6a0ee9f5fd17e72d69f612568b9fb5a87c | Python | AndrewAct/DataCamp_Python | /Introduction to Deep Learning with Keras/2 Going Deeper/06_Training_on_Dart_Throwers.py | UTF-8 | 684 | 3.265625 | 3 | [] | no_license | # # 8/9/2020
# Your model is now ready, just as your dataset. It's time to train!
# The coordinates features and competitors labels you just transformed have been partitioned into coord_train,coord_test and competitors_train,competitors_test.
# Your model is also loaded. Feel free to visualize your training data or m... | true |
a63b1fbcf275a140311046621ab0f684933161b5 | Python | rajeshnainala/Rajeshpycharrm | /letusc_chapter1/Student Marks.py | UTF-8 | 832 | 3.484375 | 3 | [] | no_license | student_name=("enter the student name")
maths=int(input("enter the marks obtained in maths"))
science=int(input("enter the marks obtained in scienc"))
social=int(input("enter the marks obtained in social"))
english=int(input("enter the marks obtained in english"))
hindi=int(input("enter the marks obtained in hindi"))
... | true |
d587a103613155912226a60848dafe4de46aaa5c | Python | gary-robotics/ros_visnav_slam | /src/pub_node_py.py | UTF-8 | 456 | 2.734375 | 3 | [] | no_license | #!/usr/bin/env python
import rospy
from std_msgs.msg import String
def main():
pub = rospy.Publisher('py_pub_hello', String, queue_size=1000)
rospy.init_node('pub_node_py', anonymous=True)
rate = rospy.Rate(2) # 2hz
loopCount = 0
while not rospy.is_shutdown():
loopCount += 1
hello_... | true |
a4014f6121b927fabecd4c4f497f67222829aa4f | Python | nagasudhirpulla/wrldc_temp_monitoring | /tests/services/test_deviceDataFetcher.py | UTF-8 | 523 | 2.875 | 3 | [
"MIT"
] | permissive | import unittest
from src.services.deviceDataFetcher import fetchDeviceCurrentData
class TestFetchDeviceData(unittest.TestCase):
def test_run(self) -> None:
"""tests the function that fetches the current device data
"""
ip = '10.2.100.72'
devData = fetchDeviceCurrentData(ip)
... | true |
4581141b8405258f13658250ce44f340d61bef0e | Python | oscarknagg/ray | /python/ray/serve/pipeline/common.py | UTF-8 | 704 | 2.671875 | 3 | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | permissive | from enum import Enum
from pydantic import BaseModel, PositiveInt
class ExecutionMode(Enum):
LOCAL = 1
TASKS = 2
ACTORS = 3
def str_to_execution_mode(s: str) -> ExecutionMode:
if s in ["local", "LOCAL"]:
return ExecutionMode.LOCAL
elif s in ["TASKS", "tasks"]:
return ExecutionMo... | true |
71bfa757c845f2896c6064bdd1527857e9bf30aa | Python | Greens-Theorem/Green-Pastures | /reversedarraybeginner.py | UTF-8 | 118 | 3.96875 | 4 | [] | no_license | arr = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
index = len(arr)
while index > 0:
index -= 1
print(arr[index]) | true |
d498bc9733ef5919e96575cbb94d384501c2b9d1 | Python | yf-z/CSCI-5525 | /hw1/naiveBayesGaussian.py | UTF-8 | 1,885 | 2.734375 | 3 | [] | no_license | import numpy as np
# LDA
class naiveBayesGaussian:
def __init__(self, k):
self.pi = np.array([])
self.mu = np.array([])
self.sigma = np.array([])
self.w_k = np.array([])
self.k = k
def fit(self, X, y):
self.sigma_all = np.zeros((X.shape[1], X.shape[1]))
... | true |
fc01b39a1938934203653e14fbf9801756079459 | Python | MasonJoran/U4L1 | /Doggiedaycare.py.py | UTF-8 | 1,667 | 3.9375 | 4 | [] | no_license | # The following is a list of dogs currently at Doggie Daycare
dogs = ['Skye','Mabel','Lassie','Buttercup']
# Do not change any of the code above this line!
# Write a line of below to print out the list of dogs currently at daycare
print('-'*65)
print()
print()
print('These dogs are currently at the daycare!:... | true |
8d3031fbecbf8d61456c7db5397d0db9df78a071 | Python | tanshaojun/tsj-soa | /pythonpro/python/my/ceshi/ceshi2.py | UTF-8 | 397 | 2.734375 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
url = 'http://www.baidu.com.cn/s?wd=区块链开发&pn='
wbdata = requests.get(url).text
soup = BeautifulSoup(wbdata, 'lxml')
news_titles = soup.select("div#3001")
for table in news_titles:
tr = table.findAll('a')
for t in tr:
print(t)
print("----------------... | true |
6cd96883da30517767db9dcbcf709540095f1d18 | Python | necrop/htclassifier_build | /bayes/senseparser/keywordsfilter.py | UTF-8 | 3,156 | 2.625 | 3 | [] | no_license | import os
from stringtools import porter_stem
class KeywordsFilter(object):
stopwords = set()
stopcitations = set()
stoptitlewords = set()
stoplabels = set()
def __init__(self, **kwargs):
for k, v in kwargs.items():
self.__dict__[k] = v
def filter_keywords... | true |
40232311941a7d6a6b7f4309b0d959fe15917820 | Python | moonstar-x-edu/cc1002-fcfm | /Ejercicios/Semana 02/main.py | UTF-8 | 624 | 3.875 | 4 | [] | no_license | import triangulo #importar modulo triangulo
#pedir valor de lados al usuario.
print "Inserte valores de los lados de su triangulo:"
a = input()
b = input()
c = input()
#calcular perimetro y area.
perimetro = triangulo.perimetro(a, b, c)
area = triangulo.area(a, b, c)
tipo = triangulo.tipo(a, b, c)
#veri... | true |
4eeddb441806d070eac9b344e52a5c021b545667 | Python | hussainMansoor876/Python-Work | /Chapter 2 & 3/title 2.py | UTF-8 | 368 | 3.21875 | 3 | [] | no_license | name="mansoor"
age=18
info=name+" "+str(age)
print(name)
print(age)
print(info)
print(name + " " + str(age))
print(name.title())
print(name.upper())
print(name.lower())
name2="hussain"
name3="fabiha"
name4="huriya"
name5="sufiyan"
print(name+" "+name2+" "+name3+" "+name4+" "+name5)
tname= name+" "+name2+" "+name3+"... | true |
255fb50f59e73eae10e7f7ee57718a86d8c4e50c | Python | airatinho/sovok | /DB.py | UTF-8 | 1,951 | 2.546875 | 3 | [] | no_license | import sqlite3
def insert_results(address,res_url,birth_year,floor,seria,
house_type,house_crash,cadastr_number,
floor_type,walls_material):
sql = '''
INSERT INTO mytable(
address,
res_url,
birth_year,
floor,seria,
ho... | true |
df5ede9267590aa62d1c288f5d365f5c1f345b40 | Python | yenjenny1010/1. | /python p.85.py | UTF-8 | 102 | 2.734375 | 3 | [] | no_license | def ctof1(degreec):
degreef=degreec*1.8+32
print(degreef)
tem=eval(input())
ctof1(tem)
| true |
ab9a0920015ff6d8577a57888e7436e9769e26c6 | Python | Wwwangi/LeetCode-Competition | /Wangi/189.py | UTF-8 | 816 | 3.609375 | 4 | [] | no_license | #整个list翻转，再分别翻转两部分
class Solution:
def rotate(self, nums: List[int], k: int) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
nums.reverse()
def reverse(a,start,end):
while(start<end):
a[start],a[end]=a[end],a[start]
... | true |
ed2f94a579f46b3f3ab600fb37cb4ebac0b37f6c | Python | pwn2winctf/wspr-decoy | /solver/autocut.py | UTF-8 | 2,190 | 2.71875 | 3 | [] | no_license | #!/usr/bin/env python
# This tool cuts a wav file so that it starts when the WSPR transmission starts.
# Please cut all wav files before using them as input to the solver.
import subprocess
import tempfile
import shutil
import wave
import sys
import os
import re
def samples_at(infile, offset):
inwav = wave.open(i... | true |
6322140d127c5d2c954a69a4172c653d275bbbfc | Python | EpmakJS/Guessing-Game-on-Python | /Guessing Game.py | UTF-8 | 357 | 3.71875 | 4 | [] | no_license | secret_word = input("Enter secret word here: ")
guess = ""
guess_count = 0
out_of_guess = False
while guess != secret_word and not(out_of_guess):
if guess_count < 3:
guess = input('Enter ur guess: ')
guess_count += 1
else:
out_of_guess = True
if out_of_guess:
print('Out of guess, u... | true |
b62ebbc8a56db2ce43c0f4ec8104da0838c8adb1 | Python | ryanvilbrandt/personal | /decodeir.py | UTF-8 | 751 | 2.71875 | 3 | [] | no_license | import struct, time, gc
# Disable garbage collection, for the sake of verifying processing speeds
gc.disable()
a = 'UYUVUe\xa6eUjUUUU'
def DecodeIR(ir):
if (len(ir) % 2):
return len(ir), len(ir) % 2
out = 0
for i in range(0,len(ir)/2):
n = struct.unpack(">H",ir[i*2]+ir[i*2+1])[0]
... | true |
1e2d7ee92ff9de74fe1312f59df15bb0edaed2b5 | Python | USNavalResearchLaboratory/task-scheduling | /task_scheduling/base.py | UTF-8 | 1,718 | 2.921875 | 3 | [
"LicenseRef-scancode-public-domain"
] | permissive | """Core package objects."""
from collections import namedtuple
from datetime import datetime
import numpy as np
SchedulingProblem = namedtuple("SchedulingProblem", ["tasks", "ch_avail"])
SchedulingSolution = namedtuple(
"SchedulingSolution", ["sch", "loss", "t_run"], defaults=(None, None)
)
def get_now():
... | true |
67c137ae05048e15b56f2f8c5496ead7fbf7e639 | Python | yiwen9586/mychatbot | /comedy/test.py | UTF-8 | 64 | 2.59375 | 3 | [] | no_license | y = 6
def test1():
global y
y = y + 1
test1()
print(y) | true |
5932a381da6e270a3fdc2a63dc049e7c91d8f30a | Python | Sluimers/glowing-wookie | /my_itertools.py | UTF-8 | 807 | 3.34375 | 3 | [] | no_license | '''
Created on May 14, 2015
@author: rogier
'''
class unique_element:
def __init__(self, value, occurrences):
self.value = value
self.occurrences = occurrences
def permutations_unique(elements):
eset=set(elements)
listunique = [unique_element(i,elements.count(i)) for i in eset]
... | true |
654cbc12e0706b3047425d95f10b28a4334c0d6a | Python | Apr17hz/textpipeliner | /textpipeliner/tests/tests.py | UTF-8 | 6,297 | 2.859375 | 3 | [
"MIT"
] | permissive | import unittest
from textpipeliner import *
from textpipeliner.pipes import *
import spacy
# _sentence will be used throughout the all tests as it is time-consuming to create it.
# The fact of time-consumption is also reason for keeping all tests in single module file
_sentence = None
def setUpModule():
nlp = sp... | true |
7ddcba0f30b11c4f0a6a364cab116fe3171c577c | Python | SelmTalha/sinav_calisma | /FinalÇalışma(python)/Sınıflar/pdfteki örnekler/yazilimci.py | UTF-8 | 445 | 2.890625 | 3 | [] | no_license | class Yazılımcı():
def __init__(self,isim,soyisim,numara,maas,diller):
self.isim=isim
self.soyisim=soyisim
self.numara=numara #yazılımcı objelerinin özellikleri
self.maas=maas
self.diller=diller
yazilimci1=Yazılımcı("Selim Talha","Çağlar","36","2500",["Python","Java","C"])
ya... | true |
f50a8a56cef42751a99acde9fe934b76ef2c2c49 | Python | 126saransh/pythonlab | /doublespacecheck.py | UTF-8 | 388 | 4.28125 | 4 | [] | no_license | # Q. Write a program to detect double spaces in a string
string = input("Enter String: ")
res = " " in string
print("Does string contain spaces ? " + str(res))
# Output: Enter String: Rohit Jain //with 2 spaces
# Does string contain spaces ? True
# Enter String: Rohit Jain ... | true |
71bf5b3f37d9cfdf8fc9d53dca333780adf0eb0d | Python | hojunee/20-fall-adv-stat-programming | /sol3/ex07-04.py | UTF-8 | 122 | 2.5625 | 3 | [] | no_license | def eval_loop():
stdin = input()
while (stdin != 'done'):
eval(stdin)
stdin = input()
eval_loop() | true |
8dab521e560044a0fb06f95a3f2b52a2e7af1a0a | Python | jamine99/Uncertainlyingdice | /agents/probabilitybot.py | UTF-8 | 2,421 | 3.390625 | 3 | [] | no_license | import random
from agents.player import Player
class ProbabilityBot(Player):
def __init__(self,numDice, name):
super().__init__(numDice, name)
self.threshold = 0.49
def takeBet(self, state):
opponent_player = None
if state.player1 == self:
opponent_player = state.pl... | true |
062175a8a8d59ee9dbe8fba7ff996d2acefc35cb | Python | x-ning/s17 | /day04/装饰器练习.py | UTF-8 | 543 | 3.1875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:X.Ning <ngx@ngx.wiki>
# 身份验证功能
def auth(func):
def wrapper(*args,**kwargs):
name = input("name >> :")
password = input("password >> :")
if name == 'egon' and password == '123':
print('认证通过')
res=func(*args,**kwarg... | true |
f86d3b6147b77b6a8f2b0211dc4496634ae25c12 | Python | karolinanikolova/SoftUni-Software-Engineering | /3-Python-Advanced (May 2021)/04-Comprehensions/02_Exercises/02-Words-Lengths.py | UTF-8 | 357 | 4.71875 | 5 | [
"MIT"
] | permissive | # 2. Words Lengths
# Using a list comprehension, write a program that receives some text, separated by comma and space ", ",
# and prints on the console each string with its length in the following format:
# "{first_str} -> {first_str_len}, {second_str} -> {second_str_len},…"
print(', '.join([f"{word} -> {len(word)}" ... | true |
7599b3f2ba4f40d23209f344116af3b5e4399897 | Python | tantale/intranet | /intranet/tests/model/worked_hours/test_frequency.py | UTF-8 | 922 | 2.796875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import unittest
from intranet.model.planning.frequency import Frequency
class TestFrequency(unittest.TestCase):
def test_match_week(self):
f = Frequency(u"aperiodic", u"all the year", 0, 1)
self.assertTrue(all(f.match... | true |
68ea6f6a596220d3e02873021ca6f4ab27db9aed | Python | LAlvarez506/Ground-Motion-Simulation | /Source.py | UTF-8 | 8,639 | 3.078125 | 3 | [] | no_license | import numpy as np
import matplotlib.pylab as plt
class source:
def __init__(self):
pass
def create_plane(self,X,Z,nx,nz):
self.corners = np.array([[0.0,0.0,Z],[X,0.0,Z],[0.0,0.0,0.0],[X,0.0,0.0]])
# - Creates the vectors for the mesh
self.x = np.linspace(0,X,nx+1)
... | true |
89525310745e2cae8dbf22481b67878332959280 | Python | Dsantoss/Boots_exposolar | /Extractor_database.py | UTF-8 | 3,883 | 2.515625 | 3 | [] | no_license | from selenium import webdriver
import time
import csv
import math
inicio=time.clock()
driver = webdriver.Firefox(executable_path='C:\Selenium\geckodriver.exe')
driver.maximize_window()
driver.get('https://www.linkedin.com/')
user_box = driver.find_element_by_id('login-email')
pass_box = driver.find_element_by_id('lo... | true |
fbc9a21d1cdeac3c53e2fd100305ae3cbffadb4f | Python | rahulkp220/Algorithms-Datastructure-Refresher | /searching/linear-search/linear-search.py | UTF-8 | 879 | 2.953125 | 3 | [
"MIT"
] | permissive | # Uses Python3
import profile
def linear_search(array, key):
for i in array:
if i == key:
return True
return False
if __name__ == "__main__":
profile.run('linear_search(range(100000000000), 100000001)')
# Benchmark
# ❯ python3 linear-search.py
# 5 function calls in 7.213 ... | true |
7537ef3c67b34e6146c1875d86911efd817cb5fa | Python | henryleou/cs189_hw1 | /py submission/hw1_3a.py | UTF-8 | 1,498 | 2.609375 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm
from scipy import io
import random
import sys
import sklearn.metrics
from sklearn.metrics import accuracy_score
from scipy.sparse import vstack
import save_csv
np.random.seed(418)
mnist = io.loadmat("data/mnist_data.mat")
num_samples = len(mnis... | true |
553e19e02091816fda6b72823b0084c3690f9d6f | Python | hongloull/pyexample | /src/descriptor/descriptor.py | UTF-8 | 2,284 | 3.515625 | 4 | [] | no_license | """
>>> class Descriptor(object):
... def __get__(self, instance, owner):
... print(self, instance, owner, sep='\n')
...
...
>>> class Subject:
... attr = Descriptor() # Descriptor instance is class attr
...
...
>>> X = Subject()
>>> X.attr
<__main__.Descriptor object at 0x0281E690>
<__main__.... | true |
69c16d6961cbdd67d4ab11f32e8b9d127df3038c | Python | RohanGautam/googlehome-for-local-script | /api.py | UTF-8 | 417 | 2.515625 | 3 | [] | no_license | from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
class customRouteFuntionality(Resource):
def get(self, var):
print(f'[GET] Recieved var {var}. Do custom stuff here!')
return {
'recieved': True,
}
api.add_resource(customRou... | true |
62dab2f5b24c49838e2f454dd14a1cdced35dd9a | Python | zealfory/dive_python | /lc/912.py | UTF-8 | 1,075 | 3.59375 | 4 | [] | no_license | # -*- encoding: utf-8 -*-
# @File: 912.py
# @Time: 2021/7/21 12:59 上午
# @Author: ZHANG
# @Description: 912
from typing import List
import random
class Solution:
def sortArray(self, nums: List[int]) -> List[int]:
return self.quick_sort(nums, 0, len(nums)-1)
def quick_sort(self, nums: List[int], ... | true |
a171f146d2e9fdb5a892200a10a44a2ecdf1381b | Python | QuinnPainter/AdventOfCode2020 | /Day 4/day4pt2.py | UTF-8 | 1,912 | 3.046875 | 3 | [] | no_license | import string
input = open("input", "r")
inputLines = input.readlines()
input.close()
eyeColours = ["amb", "blu", "brn", "gry", "grn", "hzl", "oth"]
passportStrings = []
passportIndex = 0
for line in inputLines:
if line.rstrip() == "":
passportIndex += 1
continue
if len(passportStrings) <= pa... | true |
a4e5e8ef9e6c1eb2d91bdbc634064ca1fc596d34 | Python | demo112/1807 | /regex/regex1.py | UTF-8 | 576 | 3.5625 | 4 | [] | no_license | import re
"""
共同属性都能生成match对象
"""
# finditer
it = re.finditer(r'\d+', '2008-2018 10年中国发生了变化')
for i in it:
# print(dir(i))
print(i.group())
# fullmatch（）
obj = re.fullmatch(r'\w+','abcdef123')
print(obj.group())
try:
obj = re.fullmatch(r'\w+','abcdef123#') # 返回None
print(obj.group()) # 报... | true |
7e989f007cc075384309ae685db0830ed74b5a55 | Python | adhocindia/Facial_Identification | /src/recognizer_module/recognizer.py | UTF-8 | 1,880 | 2.96875 | 3 | [] | no_license | #!/usr/bin/python3
# import necessary module
import numpy as np
import cv2
# function to identify the face
# arguments -> dictionary of student_id as key and student_name as value
def identify(info_dic):
# create classifier object using haar cascade
face_cascade = cv2.CascadeClassifier('recognizer_module/data/ha... | true |
c72bcb04e2ebe33e579919286c729b52ec0345c2 | Python | standardgalactic/lion | /lionapp/branches/multipleObiProjects/lion/daisylion/db/dbsession.py | UTF-8 | 2,136 | 2.828125 | 3 | [] | no_license | import os
os.sys.path.append("../")
import DB.connect # Harcoded DB connection info, not stored in SVN
class DBSession:
"""A session with the DB."""
def __init__(self, host, dbname, trace=False):
self.trace = trace # trace flag
self.warnings = 0 # warnings during operation
... | true |
441a6ffa2a1b36f211bb8ab84d6bf08c9df0b10f | Python | abinayavarshini/python | /wordline.py | UTF-8 | 92 | 3.15625 | 3 | [] | no_license | xd=input()
counts=1
for i in xd:
if i.isspace()==True:
counts+=1
print(counts)
| true |
77683c5e835153a0fa057a03f6fd7e2ce73f9f0f | Python | Fition/McWs | /image/test.py | UTF-8 | 95 | 2.671875 | 3 | [] | no_license | from PIL import Image
img = Image.open("test.jpg").convert("P")
print(img.getpixel((10,10)))
| true |
b29dd7ed9513f3baa4513d608434b976a9073cb1 | Python | Jeevanantham13/programizprograms | /quadratic formula.py | UTF-8 | 280 | 3.578125 | 4 | [] | no_license | #Quadratic function
from math import sqrt
a = int(input("enter the value of a:"))
b = int(input("enter the value of b:"))
c = int(input("enter the value of c:"))
d = -b + math.sqrt(4ac) / 2a
d1 = -b - math.sqrt(4ac) / 2a
print("the values are:" "(" d,d1 ")") | true |
9aa7049828e566cab337e194724b805a4190d3c4 | Python | herstky/eco-sim | /ecosim/entities.py | UTF-8 | 18,528 | 3.140625 | 3 | [] | no_license | from random import randint, uniform
from copy import deepcopy
from ecosim.constants import *
from ecosim.neural_network import NeuralNetwork
from ecosim.body import *
# TODO clean up checking for valid entities and indexes
# TODO plants and seeds slowing performance. calculate seed landing cell and
# allow plan... | true |
f86837c9673e187957d51d402b447cc3cab19a86 | Python | BenjaminPeter/eems | /pipeline/pipeline/polygon.py | UTF-8 | 5,530 | 2.609375 | 3 | [] | no_license | from shapely.geometry.polygon import Polygon
from shapely.geometry import Point, MultiPoint
import shapely.ops as ops
import numpy as np
from load import wrap_america
from geoloc2 import load_countries
from mpl_toolkits.basemap import Basemap
def get_polygon(polygon, wrap=True):
"""get_polygon
gets the bounda... | true |
bf81a6677935fbb4d63823bb5bb0b561c8ff4cf7 | Python | entn-at/asv-cm-reinforce | /utils/mats_to_numpy.py | UTF-8 | 1,265 | 3.078125 | 3 | [
"MIT"
] | permissive | # Recursively find all .mat files (MATLAB mat files)
# and replace them with a numpy file.
# NOTE: Assumes each .mat file only has one key
import numpy as np
from scipy.io import loadmat
import argparse
import os
parser = argparse.ArgumentParser("Walk through directories and turn .mat files into .np")
parser.add_argum... | true |
3df3839d1bf8947c4d3da5b8c4cdf397e2ee8133 | Python | nguaki/python | /environment/pandas/19_ts_timezone/ts_timezone.py | UTF-8 | 604 | 3.46875 | 3 | [] | no_license | import pandas as pd
#Ignore the top header.
#Make Date Time the index
#Convert string date to object date.
df = pd.read_csv("msft.csv", header=1,index_col='Date Time',parse_dates=True)
print(df)
print(df.index)
#Set timezone
df.index = df.index.tz_localize(tz='US/Eastern')
print(df)
print(df.index)
df = df.tz_conv... | true |
1b2b68554b6e60c3d7e5ea79f7ea8897b33c4ab9 | Python | alexisolivo/FARO | /test/test_utils.py | UTF-8 | 784 | 2.984375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from utils import utils
class UtilsTest(unittest.TestCase):
def setUp(self):
""" Setting up for the test """
pass
def tearDown(self):
""" Cleaning up after the test """
pass
def test_normalize_text_v0(self):
... | true |
b027f2d3bed115da5100b08ef72826e44167578b | Python | risk-salon/risk_salon_tools | /risk_salon_tools/community/topics/survey.py | UTF-8 | 1,060 | 2.609375 | 3 | [] | no_license | import pandas as pd
from risk_salon_tools.services.google_docs import SheetsClient
def _get_all_responses():
sheets_client = SheetsClient()
responses = sheets_client.get_df('[Risk Salon] Topics of Interest Survey (Responses)')
responses_df = pd.concat([responses,
responses['... | true |
13577a00ebeaf2a7b4bf436ebd39ef10fb8e0964 | Python | jhchiu1/book_wishlist3 | /datastore.py | UTF-8 | 4,419 | 3.234375 | 3 | [] | no_license | import os
import json
from book import Book
DATA_DIR = 'data'
BOOKS_FILE_NAME = os.path.join(DATA_DIR, 'wishlist.txt')
COUNTER_FILE_NAME = os.path.join(DATA_DIR, 'counter.txt')
book_list = []
counter = 0
def setup():
""" read(): Read book info from file, if file exists. """
read()
def shutdown():
"""... | true |
e091c65da1800165127c68e418ecb09f6cddfe0f | Python | PyPhy/Python | /Parallel_Computing/tut2.py | UTF-8 | 440 | 3.140625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from numpy import arange
import time
from numba import jit
start_time = time.time()
@jit
def sum2d(arr):
M, N = arr.shape
result = 0.0
for i in range(M):
for j in range(N):
result += arr[i,j]
return result
a = arange(5000* 5000).resh... | true |
1adbeb9cd238cc98fd6e08190e352a5916007c87 | Python | CarlosGabaldon/glaze | /data.py | UTF-8 | 317 | 2.609375 | 3 | [] | no_license | #!/usr/bin/python
import MySQLdb
def execute_sql(sql):
try:
db = MySQLdb.connect("localhost","root","","Glaze" )
cursor = db.cursor()
cursor.execute(sql)
return cursor.fetchall()
except Exception, e: # in 3.1; except Exception as e:
print e
db.close()
| true |
9f11caaa991903b8f4b59b026eecd478d11f03ea | Python | jeffreyat/RWOV | /RWOV.py | UTF-8 | 8,459 | 2.984375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 20 10:19:04 2017
@author: jthompson21
"""
import re
from nltk.stem.lancaster import LancasterStemmer
from nltk.tokenize import sent_tokenize
import string
from sklearn.preprocessing import StandardScaler
import numpy as np
from sklearn.metrics.pairwise import euclidean... | true |
5b9b0622a557fa09d66dd7f167158be35f6b11ff | Python | Therealchainman/LeetCode | /problems/repeated_dna_sequences/solution.py | UTF-8 | 298 | 2.796875 | 3 | [] | no_license | class Solution:
def findRepeatedDnaSequences(self, s):
r, record = set(), set()
for i in range(len(s) - 9):
substring = s[i:i + 10]
if substring in record:
r.add(substring)
record.add(substring)
return list(r)
| true |
f1896f0329bc1681f5986396e16b515257974ef3 | Python | houzhimeng/Practice | /作业1.py | UTF-8 | 527 | 3.96875 | 4 | [] | no_license | class Tearch:
def __init__(self,name,age):
self.name = name
self.age = age
self.salary = 1000
class Course:
def __init__(self,name,teacher,cost):
self.name = name
self.teacher = teacher
self.cost = cost
def class_up(self):
self.teacher.salary += sel... | true |
3f7c185347257d3a4e43b295668dd99b097aedba | Python | coconutjim/hseb3-ml | /2 K-nearest/Lab2_Osipov.py | UTF-8 | 3,181 | 3.046875 | 3 | [
"MIT"
] | permissive | __author__ = 'Lev Osipov'
import numpy as np
import matplotlib.pyplot as plt
from heapq import nsmallest
def cosine(vector1, vector2):
return np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2))
# Task 1
points = 100
dimension = 200
coordinates = []
results = []
print "Wait, please.."
... | true |
9ffc143f0befb4edd1a028764fbaad4fed28d367 | Python | cmarch314/PythonProjects | /q6helper/q6solution.py | UTF-8 | 4,139 | 3.59375 | 4 | [] | no_license | import inspect
import predicate
from goody import irange
from random import shuffle
# Tree Node class and helper functions (to set up problem)
class TN:
def __init__(self,value,left=None,right=None):
self.value = value
self.left = left
self.right = right
def add(atree,value):
if atr... | true |
d318dc1607bc580346347a8a19f8ccbf06a314b8 | Python | cfchou/codeinpy | /src/Cslbst.py | UTF-8 | 1,683 | 3.65625 | 4 | [] | no_license | __author__ = 'chifeng'
# https://oj.leetcode.com/problems/convert-sorted-list-to-binary-search-tree/
# Given a singly linked list where elements are sorted in ascending
# order, convert it to a height balanced BST
# Definition for a binary tree node
class TreeNode:
def __init__(self, x):
self.val = x
... | true |
f0f70f839d43ffcbd08c9d530c93fdedd588ef45 | Python | shainamarie/assignment2 | /app.py | UTF-8 | 1,369 | 2.9375 | 3 | [] | no_license | import cgi
form = b'''
<html>
<head>
<title>Hello User!</title>
</head>
<body>
<form method="post">
<label>First Name:</label>
<input type="text" name="first_name">
<br>
<label>Last Name:</label>
<input type="text" name="last_name"... | true |
76b490112db356b046e24bd78ba18265f5f54f51 | Python | Developerrr/horoscope | /index_generator.py | UTF-8 | 1,231 | 2.921875 | 3 | [] | no_license | # coding: utf-8
from horoscope import generate_prophecies
from datetime import datetime as dt
def generate_page(head, body, a):
page = "<html>" + head + body + a + "</html>"
return page
def generate_head(title):
head = "<meta charset='utf-8'>" + "<title>" + title + "</title>"
return "<head>" + head + "</head>"
... | true |
609c0acbd6311e1d957f929233401bd01d718265 | Python | saurabhpati/python.beginner | /DataTypes/dictionary.py | UTF-8 | 280 | 3.984375 | 4 | [
"MIT"
] | permissive | # Explains the dictionary type in python.
dictionary = {
'key1': 'first value',
'key2': 'second value',
'key3': 'third value'
};
# The dictionary data type in python.
print(dictionary);
print(dictionary['key1']);
print(dictionary.keys());
print(dictionary.values()); | true |
3c1a3cc6f711b711dbbb5a7da862e2228b651d82 | Python | DeepaMGMG/Web-Crawling-With-Scrapy | /learnings/learnings/spiders/blog.py | UTF-8 | 994 | 2.578125 | 3 | [] | no_license | import scrapy
import re
class BlogSpider(scrapy.Spider):
name = 'blog'
allowed_domains = ['www.zyte.com']
start_urls = ['https://www.zyte.com/blog/']
def parse(self, response):
for post in response.css('div.oxy-post'):
# print(post)
title = re.sub('\s+',' ... | true |
890bfcd530d2654320f625bdb7c74dc78ebba3fd | Python | implementedrobotics/Nomad | /Hardware/Actuator/NomadBLDC/Tools/NomadBLDCGUI.py | UTF-8 | 37,971 | 2.625 | 3 | [
"MIT"
] | permissive | from PyQt5 import QtWidgets, QtCore, uic
from PyQt5.QtCore import pyqtSlot, pyqtSignal
import pyqtgraph as pg
import sys
import time
import threading
import math
import operator
import numpy as np
from NomadBLDC import NomadBLDC
close_event = threading.Event()
def isfloat(value):
try:
float(value)
return... | true |
256e08034654f821074bc63bdd8f23054debb925 | Python | lileshp/Basic-Python-9-Aug | /operators_identifieres_DataTypes.py | UTF-8 | 6,167 | 3.84375 | 4 | [] | no_license |
#Tokens
smallest unit/element of programming lang.
Keywords
Literals/Constants
Identifier
Operator
Keyword
Python Keyword module is used to avail the list of all the keywords.
The reserved words cannot be used as a variable name.
all keywords in lowercase letter e... | true |
a25bf75261a2a147ca07874af0db8397aca8c821 | Python | MaksimOzery/NeuralNetworkRoad | /namefiles.py | UTF-8 | 518 | 2.78125 | 3 | [] | no_license | #Переименование файлов
from PIL import Image, ImageDraw, ImageFont
import struct
import os
# user -> name
directory = r'C:\Users\user\Desktop\7'
directory2=r'C:\Users\user\Desktop\image3'
print( directory)
files = os.listdir(directory)
print( len(files))
#posetive.1.
#negative.1.
for i in range(len(fi... | true |
73a636adfca97157691ed2b4782d91f4d912f2e0 | Python | ricklixo/cursoemvideo | /ex067.py | UTF-8 | 442 | 4.34375 | 4 | [] | no_license | # 067 - Faça um programa que mostre a tabuada de vários numeros, um de cada vez, para cada valor digitado pelo usuário.
# O programa será interrompido se o valor for negativo.
# MINHA SOLUÇÃO
while True:
num = int(input('Digite o número o qual deseja ver a tabuada: '))
if num < 0:
break
for cont i... | true |
c481ca4d8326c6ab9142b1c4c1041be527b63577 | Python | djjty/OriginalLight | /nn/initializations/Normal.py | UTF-8 | 416 | 2.765625 | 3 | [] | no_license | from .Initializer import Initializer, np
class Normal(Initializer):
def __init__(self, std=0.01, mean=0.0):
self.std = std
self.mean = mean
def call(self, shape, dtype=None):
if dtype is not None:
return np.random.normal(loc=self.mean, scale=self.std, size=shape).astype(dty... | true |