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 |
|---|---|---|---|---|---|---|---|---|---|---|
8c233bf0cd332653df17468533c4ff53f3a84650 | gskielian/mindwave | /mindwave_datalogging.py | UTF-8 | 1,085 | 2.8125 | 3 | [] | no_license | #!/usr/bin/python
import mindwave
import time
import datetime
#create a tsv file_name of YMD of today's date
time_stamp = time.time()
file_name = datetime.datetime.fromtimestamp(time_stamp).strftime('%Y-%m-%d') + '.tsv'
f = open(file_name,'a')
#connect the mindwave
headset = mindwave.Headset('/dev/tty.MindWaveMobile... | true |
49b6ce46cec27ab1aa7aaa1807a6566200681322 | sunnyrockstar98/Titanicdataset | /svmNNNE.py | UTF-8 | 4,410 | 2.90625 | 3 | [] | no_license | # Multiple Linear Regression
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('train.csv')
testset = pd.read_csv('test.csv')
dataset['Family_Size'] = dataset['Parch'] + dataset['SibSp']
testset['Family_Size'] = ... | true |
66b0ce0e2e9ee7a9859f1e87b8135a3fd84a2286 | hcmMichaelTu/python | /lesson10/func_cls.py | UTF-8 | 452 | 3.453125 | 3 | [] | no_license | import turtle as t
import string
def write(char):
def _write():
t.clear()
t.write(char, align="center", font=f"Arial {s}")
t.update()
return _write
s = 300
t.hideturtle(); t.tracer(False); t.color("red")
t.up(); t.right(90); t.forward(2*s//3); t.down()
chars = string.asc... | true |
7536cbb33e4d6d648d687ca2ba1905420b640df8 | mbuchwald/7516LenguajesProgramacion2015 | /Compilador/AnalizadorSintactico.py | UTF-8 | 16,936 | 2.90625 | 3 | [] | no_license | import AnalizadorLexico
import AnalizadorSemantico
CONST = "const"
VAR = "var"
PROCEDURE = "procedure"
CALL = "call"
IF = "if"
WHILE = "while"
BEGIN = "begin"
THEN = "then"
DO = "do"
ODD = "odd"
END = "end"
WRITE = "write"
WRITELN = "writeln"
READLN = "readln"
class AnalizadorSintactico(object):
def __init__(self,... | true |
099e69f25d3f231846e024c53a31d86ffa184655 | orbidlo/AdventOfCode | /2021/12/passage.py | UTF-8 | 3,881 | 3.40625 | 3 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | # https://adventofcode.com/2021/day/12
from __future__ import annotations
from timeit import default_timer as timer
from dataclasses import dataclass, field
from collections import defaultdict, Counter
import sys
import os
import logging
INPUT_FILE = 'input.txt'
INPUT_TEST = 'input_test.txt'
START_NODE = 'start'
E... | true |
07e2190c6eda4f1a675fd3aac9f784aa57f8f05f | PedroL7/hello-world | /Week4Ex5.py | UTF-8 | 87 | 3.0625 | 3 | [] | no_license | x = 19.93
y = 20.00
z = y - x
print ("%.2f" % z)
print (type(y))
print (type(z))
| true |
c2cfbb96464eae7717611f2122d6062a08b05ea5 | saribalarakeshreddy/Python-3.9.0 | /Packages/Patterns_Package/alp/sml_alp/o.py | UTF-8 | 852 | 4.21875 | 4 | [
"MIT"
] | permissive | def for_o():
""" Pattern of Small Alphabet: 'o' using for loop"""
for i in range(4):
for j in range(4):
if i in (0,3) and j not in(0,3) or j in(0,3) and i not in(0,3):
print('*',end=' ')
else:
... | true |
ea82770ae75c0697bf91ce4d4b82806ad4a96758 | xcjthu/cv_predict_pay | /reader/formatter/cv.py | UTF-8 | 4,207 | 2.5625 | 3 | [] | no_license | import json
import torch
import numpy as np
import re
class CV_formatter:
def __init__(self, config):
super(CV_formatter, self).__init__()
path = config.get('data', 'skill_list')
f = open(path, 'r')
self.th = config.getint('data', 'skills_th')
self.word2id... | true |
5e3ec24d255cf1c8c15e09135c8d04f3958891bb | everydaytimmy/data-structures-and-algorithms | /python/code_challenges/tree/tree.py | UTF-8 | 2,119 | 3.734375 | 4 | [
"MIT"
] | permissive | class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BinaryTree:
def __init__(self):
self.root = None
class BinarySearchTree(BinaryTree):
def add(self, value):
node = Node(value)
def walk(root, new_node):
... | true |
cc4337207a26d7801554631447a2796f3dd995a0 | slawektestowy/selenium | /python/samochod.py | UTF-8 | 663 | 3.453125 | 3 | [] | no_license | class auto:
marka = "Skoda"
def __init__(self, model, kolor, rok):
self.model = model
self.kolor = kolor
self.rok = rok
def silnik(self):
return "wrrrr"
def prezentuj_auto(self):
print("Model ktory tu widzimy to " + self.model + "\n"
"Kolor natom... | true |
6ee13f9957ca709ca5bef26fc88c2331eb969dc5 | hanbinggary/optiontrade | /com/swordfall/core/StockTrend.py | UTF-8 | 23,945 | 2.671875 | 3 | [] | no_license | from com.swordfall.service.hk.HKStockService import HKStockService
from com.swordfall.service.us.UStockService import UStockService
from com.swordfall.core.BaseTrend import BaseTrend
class StockTrend(BaseTrend):
def __init__(self):
super().__init__()
self.hk_stock_service = HKStockService()
... | true |
d3aaa04c0a89c741517b1110dbb9eac05ff8dc74 | sasankyadavalli/leetcode | /findAndReplacePattern.py | UTF-8 | 305 | 2.546875 | 3 | [] | no_license | class Solution:
def findAndReplacePattern(self, words: List[str], pattern: str) -> List[str]:
return [word for word in words
if len(word) == len(pattern) and
len(set(word)) == len(set(pattern)) and
len(set(zip(word, pattern))) == len(set(word))] | true |
2b8451271bd85370b75fe182508f57c742427204 | ashish-rane/Hadoop | /Spark/Pyspark/globalRanking_demo.py | UTF-8 | 1,685 | 3.28125 | 3 | [] | no_license |
from pyspark import SparkConf, SparkContext
conf = SparkConf()
conf.setAppName("Sort Product By Price Pyspark")
sc = SparkContext(conf = conf)
# Sort the products by Price Descending
path = "hdfs://ip-172-31-53-48.ec2.internal:8020/apps/hive/warehouse/retail_db.db/products"
def parseProduct(rec):
parts = rec.sp... | true |
02f5543df0dc097595d2d34a61a56b00dc0eb59b | LaurencePeanuts/Censai | /iterative_inference_learning/scripts/iterative_lensmodel.py | UTF-8 | 3,845 | 2.78125 | 3 | [] | no_license | '''
A Convolutional Network implementation example using TensorFlow library.
This example is using the MNIST database of handwritten digits (http://yann.lecun.com/exdb/mnist/)
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''
import tensorflow as tf
import iterative_inference_le... | true |
80cb466ef8320dbe48fc7118383c793f2a775fb9 | hkxIron/hkx_tf_practice | /test_numpy/nn_scratch/rnn/rnn-from-scratch-master/output.py | UTF-8 | 334 | 2.65625 | 3 | [] | no_license | import numpy as np
class Softmax:
def predict(self, x):
exp_scores = np.exp(x)
return exp_scores / np.sum(exp_scores)
def loss(self, x, y):
probs = self.predict(x)
return -np.log(probs[y])
def diff(self, x, y):
probs = self.predict(x)
probs[y] -= 1.0
... | true |
4334439e3c0d7133c7d1f424fcd3912b366276a3 | YwJiang/Simple-calcualtor | /Stringvar练习2.py | UTF-8 | 183 | 2.828125 | 3 | [] | no_license | from tkinter import*
root=Tk()
var=StringVar()
for i in range(2):
rad= Radiobutton(root,text=str(i),variable=var)
rad.pack(side=LEFT)
var.set('happy')
root.mainloop()
| true |
8e9c2a5f41fbb2f1444cae7abcb2ec2cbf46ae9a | mkelley33/katello-reports-engine | /devel_env/ec2/launch_instance.py | UTF-8 | 9,330 | 2.578125 | 3 | [] | no_license | #!/usr/bin/env python
#
# Assumes that the following environment variables have been set
# AWS_ACCESS_KEY_ID
# AWS_SECRET_ACCESS_KEY
#
import os
import stat
import subprocess
import sys
import time
from optparse import OptionParser
try:
from boto.ec2.connection import EC2Connection
from boto.ec2.blockdevic... | true |
12a627d7803220e11ca74079da1daddb291e8e55 | nray001/SeniorDesign | /SeniorDesign/real_coord.py | UTF-8 | 992 | 2.90625 | 3 | [] | no_license | import numpy as np
import cv2
#Load important camera data and calibrated vectors for transformation
R_mtx = np.load('./coord_data/R_mtx.npy')
tvec1 = np.load('./coord_data/tvec1.npy')
inverse_newcam_mtx = np.load('./coord_data/inverse_newcam_mtx.npy')
s_arr = np.load('./coord_data/s_arr.npy')
# Ask for cx and cy (u,v)... | true |
23828a4976659e7f9ec40f453da4f7f8963d90e0 | velssudar/IDcard_identification | /check_IDcard/area_dict.py | UTF-8 | 135,777 | 2.65625 | 3 | [
"MIT"
] | permissive | #!/bin/env python
# -*- coding: utf-8 -*-
'''
生成用于身份证查询地址的数据文件area_data.pkl
'''
import pickle
area_dict = {
'110000':'北京市',
'110100':'北京市市辖区',
'110101':'北京市东城区',
'110102':'北京市西城区',
'110103':'北京市崇文区',
'110104':'北京市宣武区',
'110105':'北京市朝阳区',
'110106':'北京市丰台区',
'110107':'北京市石景山区',
... | true |
1359a265b9f33eef41516d3d76bb4fe294321286 | Andimeo/leetcode | /src/p446/solution.py | UTF-8 | 790 | 2.734375 | 3 | [] | no_license | class Solution(object):
def numberOfArithmeticSlices(self, A):
"""
:type A: List[int]
:rtype: int
"""
import collections
d = [collections.defaultdict(int) for _ in range(len(A))]
result = 0
for i in range(len(A)):
for j in range(i):
... | true |
58b41d5e20cc04b6ba8fe8c13802a21967e0955b | NVIDIA/tensorflow | /tensorflow/python/ops/linalg/linear_operator_kronecker.py | UTF-8 | 22,557 | 2.734375 | 3 | [
"Apache-2.0"
] | permissive | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | true |
3e7fe6900d79fef41aa004f5a2b666344ef7ad64 | GeneSlow/Hello_python | /7 标志的探锁.py | UTF-8 | 410 | 2.859375 | 3 | [] | no_license | ''' #关于标志和break#
prompt=('nishiyizhizhu')
prompt+=('\nnihsaihsiyizhizhu')
active=True
while active:
mess=input(prompt)
# if mess ==quit: ...1 ....×
if mess =='quit': ...2 ....√
active=False
# beak ...3 ....√
else:
print(mess+'\n')
#反复失败 和书上的对比发... | true |
5b3804e35e4e2ae741a85eb766941be9a8b6d958 | davdjn/Crypto | /metrics.py | UTF-8 | 1,759 | 3.359375 | 3 | [] | no_license | import numpy as np
from itertools import combinations
import coin_tools
def il(pa0, pa1, pb0, pb1):
'''
Compute impermanent loss of providing liquidity given the prices of two assets at two points in time.
'''
ratio = (pa0 * pb1) / (pa1 * pb0)
return (2 * np.sqrt(ratio) / (ratio + 1)) - 1
... | true |
9a60829a52c6c5db927e6ef0beadc643cea10955 | BrandoZhang/STAr | /develop/Detector/lk_track.py | UTF-8 | 7,292 | 2.5625 | 3 | [] | no_license | #!/usr/bin/env python
'''
Lucas-Kanade tracker
====================
Lucas-Kanade sparse optical flow demo. Uses goodFeaturesToTrack
for track initialization and back-tracking for match verification
between frames.
Usage
-----
lk_track.py [<video_source>]
Keys
----
ESC - exit
'''
# Python 2/3 compatibility
from __... | true |
9c4e0a38aae7eff1093f81562bfcd3ec05c11d4a | Rjlmota/Memoria | /ram3.py | UTF-8 | 361 | 3.390625 | 3 | [] | no_license | def write():
adress = input("Indique um endereço de 4 bits: ")
value = input("Indique o valor de 8 bits: ")
slots[adress.zfill(4)] = value.zfill(8)
def read():
adress = input("Indique um endereco de 4 bits: ")
print(slots[adress.zfill(4)])
slots = {}
for i in range(0, 16):
s... | true |
90cbfb4bd4fd053befbd46701ea2a72439547562 | robsws/aoc | /2017/21.py | UTF-8 | 4,547 | 3.34375 | 3 | [] | no_license | import sys
import re
import time
from math import sqrt
input_filename = sys.argv[1]
iterations = int(sys.argv[2])
file = open(input_filename,'r')
lines = file.read().splitlines()
def flip_horizontal(grid):
flipped = list()
for row in grid:
flipped.append(tuple(reversed(row)))
return tuple(flipped)... | true |
3574ae8c4a649876b0f1747a3154bc1630021114 | SiegeEngineers/aoc-reference-data | /scripts/ci.py | UTF-8 | 2,137 | 2.65625 | 3 | [] | no_license | """CI for aoc-reference-data"""
import logging
import sys
from util.players import PlayerList
from util.teams import Team, TeamList
from util.data_processor import DataProcessor
from util.error import LintError, unpack_error_list, print_error_summary_header
# DEBUGGING FLAGS
DEBUG = False
CI = True
LOGGER = l... | true |
ea788f889d3c8a8885c80f707c24129ee2c6c0c2 | mesodiar/get-slack-chat | /chat.py | UTF-8 | 984 | 2.53125 | 3 | [] | no_license | import requests
url = 'https://slack.com/api/conversations.history'
params = {
'token': '<your_token>', # get it from https://api.slack.com/custom-integrations/legacy-tokens
'channel': '<channel_id>', # use this repo to get those id https://github.com/zach-snell/slack-export
'inclusive': True
}
next_pag... | true |
e044c09281b9839d20070bae25c96b350529ecbb | max-kalganov/CalcGeom | /prepLab/isometric_projection.py | UTF-8 | 5,409 | 2.921875 | 3 | [] | no_license | import numpy as np
from time import sleep
from visualizer import SimpleVisualizer
from ct import CANVAS_WIDTH, CANVAS_HEIGHT, DEFAULT_NUM_OF_POINTS, TURNING_PERIOD, SLEEP_PERIOD, TURN_ANGLE
class IsometricProjection:
def __init__(self):
"""
Получение пар индексов для отрисовки параллелепипеда,
... | true |
7813e7107ad775990a7e6a2569c13483bb492bd6 | justisGipson/google_cert | /python_interacting_with_os/week_five/validations_test.py | UTF-8 | 524 | 2.65625 | 3 | [] | no_license | #!/usr/bin/env python3
import unittest
from validations import validate_users
class TestValidateUsers(unittest.TestCase):
def test_valid(self):
self.assertEqual(validate_users("validuser", 3), True)
def test_too_short(self):
self.assertEqual(validate_users("inv", 5), False)
def test_inv... | true |
08d8e4c8fd6f9e80a9e87337f4a42ad2a6da8631 | yanyongyong/machineLearn | /decisionTree/TreeTest.py | UTF-8 | 1,431 | 2.828125 | 3 | [] | no_license | from sklearn.feature_extraction import DictVectorizer
import csv
from sklearn import preprocessing
from sklearn import tree
from sklearn.externals.six import StringIO
# Read in the csv File and put feature in a list of class label
allElectronicsData = open("C:\\Users\\hxjd009\\Desktop\\decisionTree.csv",'rb')
reader =... | true |
b5c20880db06f31dca64049b39f195df168a6188 | a6361117/code | /Day1-15/Day12/02.py | UTF-8 | 741 | 4.34375 | 4 | [] | no_license | #可变参数
'''
1、*param(一个星号)，将多个参数收集到一个“元组”对象中
2、**param(两个星号)，将多个参数收集到一个“字典”对象中
'''
def test01(a,b,*c): #元组
print(a,b,c)
test01(2,3,5,6,7)
def test02(c,d,**f): #字典
print(c,d,f)
test02(4,5,neme='小明',age=18)
def test03(e,m,*n,**k):
print(e,m,n,k)
test03(3,4,5,6,name='小明',age=18)
#强制命名参数
de... | true |
148e87174982555a29c7598a5769ad6009d7d13e | Charleess/Vampires-Werewolves | /Player/V0/player.py | UTF-8 | 3,100 | 3.078125 | 3 | [] | no_license | """ Contains the Player class """
from threading import Thread
import socket
import struct
from Common.grid import Grid
from Common.gamerules import GameRules
class Player(Thread):
""" A player """
def __init__(self, port, parameters, player_name):
Thread.__init__(self)
self.__parameters = para... | true |
e446a864f9b94987990b9314eabf7aaa06608967 | Keesiu/meta-kaggle | /data/external/repositories_2to3/136086/kaggle-master/hierarchical-text/statistics/normalization_func/popular_label_hit_rate.py | UTF-8 | 1,156 | 2.8125 | 3 | [
"MIT"
] | permissive | N_OF_TAGS = 5
popular_labels = [24177, 285613, 98808, 264962, 167593, 242532, 52954, 300558, 444502, 78249]
popular_labels_count = dict(list(zip(popular_labels, [0]*10)))
count = 0
#f = open("pred_statistics_slope05_approach602.csv", 'r')
#f = open("pred_statistics_slope03_approach602.csv", 'r')
#f = open... | true |
59bf86378c461b2fec5c57b12f6ea048630cde7a | nyanp/kaggle-PLASTiCC | /model/lgbm.py | UTF-8 | 7,412 | 2.59375 | 3 | [] | no_license | import gc
import pandas as pd
import numpy as np
from lightgbm import LGBMClassifier
from sklearn.model_selection import StratifiedKFold
from .loss import lgb_multi_weighted_logloss, multi_weighted_logloss
from .model import Model
from .problem import class_weight
class LGBMModel(Model):
def __init__(self, para... | true |
1b46e2f925ff80b93139b6c768d181bb63b1d842 | aimagelab/aidlda_tutorial | /drills/autograd_functions/main.py | UTF-8 | 4,638 | 3.09375 | 3 | [] | no_license | """
Main file for training a Convolutional Neural Network for image classification.
Training is performed on CIFAR-10
"""
from __future__ import print_function
import torch
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from models import ConvNet
from models import myConvN... | true |
c444a4ee61f79636c4ac2d865115b6b132fbf8e4 | Vrganj/advent-of-code | /10/2.py | UTF-8 | 484 | 2.984375 | 3 | [] | no_license | with open('input.txt') as file:
adapters = list(map(int, file.read().strip().split('\n')))
adapters.append(0)
adapters.sort()
adapters.append(adapters[-1] + 3)
cache = dict()
cache[len(adapters) - 1] = 1
def d(n):
if n in cache: return cache[n]
result = 0
for i in (1, 2, 3):
if n + i >= len(... | true |
698215ee336ff8e303fe070c5cb764b5fcfcdc6b | vipsinha/Python | /Youtube/8_Functions.py | UTF-8 | 1,348 | 4.25 | 4 | [] | no_license | # Functions 1
print('####Functions_1#####')
def hello_func_1():
pass
print(hello_func_1())
# Functions 2
print('####Functions_2#####')
def hello_func_2():
pass
print(hello_func_2)
# Functions 3
print('####Functions_3#####')
def hello_func_3():
print('Hello Function!')
hello_func_3()
# Functions 4
pri... | true |
669609453892cd6691a6a8eca846980862318d16 | rgoncales/CPS707 | /utils/users.py | UTF-8 | 432 | 2.578125 | 3 | [] | no_license | from decimal import Decimal
import utils.parser
# returns string for entry into accounts file
def getUserFromJSON(userInfo):
userName = utils.parser.appendSpaces(userInfo['username'], 15, False)
userType = utils.parser.appendSpaces(userInfo['type'], 2, False)
userCredit = utils.parser.appendSpaces(str('%.2... | true |
d3ed81b65325a0eba3e8a9f06989758d839b304b | savfod/d16 | /eshuvaeva/dynamics/fibonacci.py | UTF-8 | 209 | 3.171875 | 3 | [] | no_license | n = int(input())
a = []
for i in range(n):
a.append(1)
def fib(n):
if n == 2 or n == 1:
return 1
elif a[n-1] != 1:
return a[n-1]
else:
a[n-1] = fib(n -1)+fib(n-2)
return a[n -1]
k = fib(n)
print(k) | true |
0f84d0a6508724cf2bdea7ba28703398a19f073c | xerprobe/LeetCodeAnswer | /31. 下一个排列/pythonCode.py | UTF-8 | 1,276 | 3.9375 | 4 | [] | no_license | from typing import List
class Solution:
def nextPermutation(self, nums: List[int]) -> None:
if len(nums) < 2:
return
for i in range(2,len(nums)+1):
if(nums[-i] < nums[-i+1]):
break
if i == len(nums) and nums[-i] > nums[-i+1]:
for i in range... | true |
916beae2c0e5a005cf00db7225234b740230d635 | Artem7898/Python_Lesson_2 | /task 7.py | UTF-8 | 693 | 4.125 | 4 | [] | no_license | """
7. Напишите программу, доказывающую или проверяющую, что для множества
натуральных чисел выполняется равенство: 1+2+...+n = n(n+1)/2,
где n - любое натуральное число.
Решите через рекурсию. Решение через цикл не принимается.
Для оценки Отлично в этом блоке необходимо выполнить 5 заданий из 7
"""
# 7 Решения:
n... | true |
eece9a026e4ac2ade9f7a9712b31e6ca15e7385b | suriasarath/spyder | /kmean.py | UTF-8 | 638 | 2.90625 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
from sklearn.cluster import KMeans
style.use('ggplot')
x = [1,1.5,3.7,4,5,6,7,8]
y = [1,2,3,7,8,7,7,8]
array = np.array([x,y])
array_t = np.transpose(array)
kmeans = KMeans(n_clusters=2)
kmeans.fit(array_t)
l = kmeans.predict([[5,6]])
... | true |
945640c8378d9a8bc9274b1e40993e1699f96a34 | phitoduck/hackerrank | /missing_numbers.py | UTF-8 | 734 | 3.046875 | 3 | [] | no_license | # get both arrays as input
input()
astring = input().strip().split()
adict = dict()
for x in astring:
x = int(x)
if x in adict.keys():
adict[x] += 1
else:
adict[x] = 1
input()
bstring = input().strip().split()
bdict = dict()
for x in bstring:
x = int(x)
if x in bdict.keys():
... | true |
8cd274a92a2f2a5b5a269243fb0cd90077be55ab | aishwary013/Packages | /Regex/regex 2.py | UTF-8 | 658 | 3.078125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Mon May 4 12:19:06 2020
@author: aishwary
"""
from os import chdir
chdir('G:/My Drive/2020/Coding/Regex')
import re
pattern=re.compile(r'\d\d\d.\d\d\d.\d\d\d\d')
with open('data.txt','r',encoding='utf-8') as f:
contents=f.read()
matches=pattern.finditer(contents)
... | true |
b89bc08e3735414ec187c942d3efc1e574e4a275 | mihirmk/idealised_exo_runs | /lfric_util.py | UTF-8 | 2,395 | 2.84375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""Utilities for LFRic output."""
import iris.exceptions
import iris.coords
import iris.util
import numpy as np
def fix_time_coord(cube, field, filename):
"""
Callback function for `iris.load` specifically for UGRID data.
All field variables should have time as a coord, and mesh ... | true |
a1844df81cab8b01ddf6a8185c387a64e7fb8fd1 | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_95/1669.py | UTF-8 | 462 | 2.859375 | 3 | [] | no_license | from sys import stdin as input
import string
trans = string.maketrans('ejp mysljylc kd kxveddknmc re jsicpdrysi rbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcd de kr kd eoya kw aej tysr re ujdr lkgc jv q z','our language is impossible to understand there are twenty six factorial possibilities so it is okay if you want t... | true |
2695af9424ba0805241d4d4115d0a80c5a301a63 | slavi010/polyhash-2020 | /tests/test_model.py | UTF-8 | 5,917 | 3.125 | 3 | [
"MIT"
] | permissive |
"""Toutes les fonctions de tests de l'application"""
from src.model.Bras import Bras
from src.model.Etape import Etape
from src.model.Grille import Grille
from src.model.ItemCase import ItemCase
from src.model.Mouvement import Mouvement
from src.model.PointMontage import PointMontage
from src.model.Robot import Robot
... | true |
41b0578c12ce96cc389b52ac328de144b0241500 | 0rengo/nuclearmodels | /modeloCamadasOOv2.py | UTF-8 | 5,323 | 3.390625 | 3 | [] | no_license | # coding: UTF-8
# Programa que calcula as predições do Modelo de Camadas
# Física Nuclear - Gilberto Orengo (g.orengo@gmail.com)
# Centro Universitário Franciscano - Curso: Física Médica
import os
# from os import system
from sairOOv1 import Sair
## Construcao das funcoes
##------------------------------------------... | true |
275b4591b4a680e208ede1f98a36587bc810c560 | wesleyfr/boxpython | /boxpython/auth.py | UTF-8 | 2,278 | 2.96875 | 3 | [
"MIT"
] | permissive | from .request import BoxRestRequest
from .exceptions import BoxError, BoxHttpResponseError
class BoxAuthenticateFlow(object):
"""From the Client ID and Client Secret from Box, get the Access Token and the Refresh Token.
Usage:
>>> flow = BoxAuthenticateFlow('my_id', 'my_secret')
>>> url = flo... | true |
1f12c9029bba1fc9b413d6f539f5a11a926786c1 | r007-1/m5Nph2Ef | /utilities/utilities.py | UTF-8 | 2,479 | 2.734375 | 3 | [] | no_license | import json
import pandas
import io
def find_between(s, first, last):
try:
start = s.index(first) + len(first)
end = s.index(last, start)
return s[start:end]
except ValueError:
return ""
def find_all(a_str, sub):
start = 0
while True:
start = a_str.find(sub, st... | true |
e05251a30a6aef205278ca80c6ab6c13b3d81b71 | kurilovms/infa_2020_kurilov | /2 лабораторная/5.py | UTF-8 | 355 | 3.640625 | 4 | [] | no_license | import turtle
def kvadrat(a,d1):
turtle.pendown()
for i in range(4):
turtle.forward(a)
turtle.left(90)
turtle.left(180)
turtle.penup()
turtle.forward(d1)
turtle.left(90)
turtle.forward(d1)
turtle.left(90)
turtle.shape('turtle')
b=10
d=5
for i in range(1... | true |
7c7583c64b7be71804eb101bd2b9d872d9dc4bd4 | txtbits/daw-python | /control_flujo/Estrategias El mayor de tres/Estrategia 1 Compara con el resto.py | ISO-8859-1 | 398 | 3.3125 | 3 | [
"MIT"
] | permissive | # -*- coding: cp1252 -*-
from easygui import *
x1 = enterbox('Introduce un numero: ')
x2 = enterbox('Introduce un numero: ')
x3 = enterbox('Introduce un numero: ')
# Convierte los nmeros
x1 = int(x1)
x2 = int(x2)
x3 = int(x3)
if x1 >= x2 and x1 >= x3:
mayor = x1
elif x2 >= x1 and x2 >= x3:
mayor = x2
elif x3... | true |
bb6a56c6c60c6faa265efdfad760a78c06996af4 | poilpy/cse143 | /as1/models.py | UTF-8 | 4,079 | 3.3125 | 3 | [] | no_license | import numpy as np
start = "START"
stop = "STOP"
#loop through the text and get the word frequencies
class unigram:
def __init__(self, text):
self.freq = dict()
self.total = 0
for word in text:
self.freq[word] = self.freq.get(word, 0) + 1
if word != stop or word != ... | true |
e2fe5d11fa02f42348f5b92e58296480cd34e6f8 | nebulasquared/PHYS200 | /Chapter5_4_2.py | UTF-8 | 539 | 3.96875 | 4 | [] | no_license | #Chapter 5 Exercise 5.4
#Create a function snowflake that draws three Koch curves to create a snowflake using TurtleWorld
from TurtleWorld import *
import math
world = TurtleWorld()
bob = Turtle()
bob.delay = .00001
def koch(t, x):
if x<3:
fd(t, x)
else:
koch(t, x/3.0) #should it be x/3.0 or x/3?
lt(t, 60.0)... | true |
b9422afc51e620fce6ac839e0160547d743d2c5e | mveselov/CodeWars | /katas/kyu_7/some_circles.py | UTF-8 | 170 | 3.265625 | 3 | [
"MIT"
] | permissive | from math import pi
OUTPUT = 'We have this much circle: {:.0f}'.format
def sum_circles(*args):
return OUTPUT(sum(pi * (diameter / 2.0) ** 2 for diameter in args))
| true |
e304e48c3d0568165dd07641104c972f9c9ae61d | hadisiswanto62/FYP-WifiHeatmap | /process_router_data.py | UTF-8 | 2,477 | 2.921875 | 3 | [] | no_license | # Same as main.py but for data under router. Too lazy to combinethem >_>
from pathlib import Path
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def save_output(df: pd.DataFrame, method: str) -> None:
df = df.pivot(index="mac_addr", columns="location", values="signal_str")
sns.heat... | true |
1053e2304dedb6a915f9f0ce901be46f7090ec95 | cwang360/branch-prediction-visualization | /predictor_components.py | UTF-8 | 2,159 | 2.90625 | 3 | [] | no_license | class nBitPredictor:
def __init__(self, bits, start_state):
self.bits = bits
self.state = start_state
self.mispredicted = 0
self.total_predicted = 0
def update(self, actual_direction):
self.total_predicted += 1
if actual_direction != self.prediction_bit():
... | true |
53e7d4bc82fef52ff10dc97effa799fd298bb88d | arif2ianto/Arif-Alya | /1.3.2.1. Elementwise operations.py | UTF-8 | 1,034 | 3.609375 | 4 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import numpy as np
a = np.array([1, 2, 3, 4])
a + 1
# In[3]:
2**a
# In[4]:
b = np.ones(4) + 1
a - b
# In[5]:
a*b
# In[7]:
j = np.arange(5)
2**(j + 1) - j
# In[8]:
a = np.arange(10000)
get_ipython().run_line_magic('timeit', 'a + 1')
# In[9]:
l = r... | true |
500de43dbc3957dc4f2156ddd6548ffd23380b76 | odakan/gmpack | /gmpack/Flatten_Record.py | UTF-8 | 2,816 | 3.15625 | 3 | [
"MIT"
] | permissive | import numpy as np
class FlattenRecord(object):
def __init__(self, name, skip=0, output='acc', dt=1.0, unit='g'):
# initialize internal variables
self.name = name
self.step = dt
self.output = output
self.skip_lines = int(skip)
self.new_name = ''
self.convert... | true |
15b6cea79bac19e40fd8bd1774209260cf56f3f9 | redice44/Traffic-Simulator-2.0 | /Code/server/algo/graph/Graph.py | UTF-8 | 5,570 | 2.890625 | 3 | [] | no_license | import networkx as nx
import numpy as np
import json
import sys
from util import *
from array import array
# Custom Exceptions
# class EmptyMatrixProvided(Exception):
# pass
# class NonSquareMatrix(Exception):
# pass
class Graph(nx.DiGraph):
def __init__(self, matrix, needSetup):
if needSetup:
if ma... | true |
d8447e3c5a73875fe4eb650dd01497439481e304 | mitsuo0114/competitive_programming | /python/atcoder/Beginner113/C.py | UTF-8 | 418 | 2.953125 | 3 | [] | no_license | def solve(N, M, PYs):
Ys = {i + 1: 1 for i in range(N)}
ret = {}
for p, y in sorted(PYs, key=lambda x: x[1]):
ret[(p, y)] = "{:06d}{:06d}".format(p, Ys[p])
Ys[p] += 1
return [ret[(p, y)] for (p, y) in PYs]
if __name__ == "__main__":
N, M = tuple(map(int, input().split(" ")))
PYs... | true |
fc86743921cea3b58673515c1c421df45742d6d3 | hamling-ling/ShaRinGan | /src/app/graceful_killer.py | UTF-8 | 287 | 2.796875 | 3 | [
"MIT"
] | permissive | import signal
class GracefulKiller:
kill_now = False
def __init__(self):
signal.signal(signal.SIGINT, self.exit_gracefully)
signal.signal(signal.SIGTERM, self.exit_gracefully)
def exit_gracefully(self,signum, frame):
print("signal received")
self.kill_now = True
| true |
a5cb7a7271c1c49607b31acd0c4451b8673aed9d | BinaryAura/parsepy | /parsepy/parser/ll1.py | UTF-8 | 6,104 | 2.609375 | 3 | [] | no_license | from typing import Dict, Callable, Iterable, Optional, Hashable, Any, Iterator, Union
from os import PathLike
from parsepy.lexer import Lexer
from parsepy.lexer import Token
from parsepy.parser import AST
from parsepy.parser import error
from parsepy.parser import CFG, Parser
class LL1(Parser):
"""
"""
... | true |
7070f6b76f0b7feeab3f5575d7034ca9202f5c15 | stbnps/Aleph | /src/Characters/Nazist.py | UTF-8 | 584 | 2.640625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
'''
Created on 16/03/2014
@author: DaGal
'''
from Enemy import Enemy
from RangeController import RangeController
from Weapons.WpnRifle import WpnRifle
class Nazist(Enemy):
"""
Contains logic for Nazist enemy.
"""
def __init__(self, x, y, player, director):
Enemy.__init__(self, x, y, "... | true |
656b546541133233b91bf529091a0dfd718cae69 | navneet-ag/DMG-Assignments | /Assignment3/A3_Runner.py | UTF-8 | 1,421 | 2.671875 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
from tqdm import tqdm
import pickle
# In[5]:
def give_results(RulesFile,TestFile):
file=open(RulesFile,'rb')
Rules=pickle.load(file)
file.close()
b= pd.read_csv(TestFile)
df_test=pd.DataFrame(b)
mapping ... | true |
069317a5110c8b78d13899b5bc7a022a9ecc77aa | Jerry-FaGe/Bluetooth_select | /spider/spider1.py | UTF-8 | 2,133 | 2.84375 | 3 | [] | no_license | import requests
from lxml import etree
from lib import pysqlite
url = "https://www.bluetooth.com/specifications/gatt/characteristics/"
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3573.0 '
'Safari/537.36',
}
# 定义请求函数
def ... | true |
c33fb2485d7747658c3dd2cf8e4c50cfbb395ce8 | wrobelcarter1/CS-126 | /Chapter 10/11:30_example.py | UTF-8 | 172 | 3.421875 | 3 | [] | no_license | def check_odd(n):
'''
if n % 2 == 0:
return False
else:
return True
'''
return n%2 == 1 # One line of code
print(check_odd(4))
| true |
cf7afbb13fcbcef15f32b482fdd0a136c51cd9a4 | Y-B-C/Study_python | /面向对象/6.综合应用.py | UTF-8 | 1,221 | 4.625 | 5 | [] | no_license | #1.定义类：初始化属性、被烤和添加调料的方法、显示对象信息的str
class SweetPotato():
def __init__(self):
# 被烤的时间
self.cook_time = 0
# 烤的状态
self.cook_state = '生的'
# 调料列表
self.condiments = []
def cook(self,time):
"""烤地瓜方法"""
self.cook_time +=time
if 0<=self.c... | true |
cccf7dad2b11f7dee2233f0acc25aaee0fc0b9f0 | vxrnxk/python-brasil-exercicios-estrutura-sequencial | /L01-E12.py | UTF-8 | 328 | 4.34375 | 4 | [] | no_license | # Lista 01 - Exercício 12
# Tendo como dados de entrada a altura de uma pessoa, construa um algoritmo que calcule seu peso ideal, usando a seguinte fórmula: (72.7*altura) - 58
altura = float(input("Digite a altura da pessoa: "))
peso_ideal = (72.7 * altura) - 58
print("A altura ideal é: {}".format(round(peso_ideal, ... | true |
7a6190cef27fafada23602867b56e0f3648b30fd | Ferus/WhergBot2.0 | /Plugins/Slap/Main.py | UTF-8 | 1,683 | 2.609375 | 3 | [] | no_license | #!/usr/bin/env python
import random
from .Settings import Settings
class Main(object):
def __init__(self, Name, Parser):
'''
The provided Fish.txt file was obtained from
https://github.com/jamer/Rubot/blob/master/plugins/Slap.rb
Some of these 'fish' only exist because of a huge slap
battle between myself an... | true |
356ba905e58a41a79cc9efd1dbaf69aa6acc314b | yannickkiki/programming-training | /Leetcode/python3/1228_missing_number.py | UTF-8 | 277 | 2.96875 | 3 | [] | no_license | def missingNumber(arr):
n = len(arr)
gap = (arr[n-1]-arr[0])//n
if gap==0:
return 0
for i in range(n-1):
diff = arr[i+1]-arr[i]
if diff!=gap:
return arr[i]+gap
if __name__=='__main__':
result = missingNumber([15,13,12])
| true |
27aa23ae1bdbed9b35e02f8e08fdf353159201ad | MeteoSwiss-APN/ecrad | /practical/plot_input.py | UTF-8 | 958 | 2.734375 | 3 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python3
def warn(*args, **kwargs):
pass
import os, warnings
warnings.warn = warn
from ecradplot import plot as eplt
def main(input_srcfile, dstdir):
"""
Plot input files
"""
if not os.path.isdir(dstdir):
os.makedirs(dstdir)
#Get input file name
name_stri... | true |
bd983c6cecea3c8849b16b3f069dd44e22e89878 | Bamgm14/CrossRoadsCTF | /Background/1/pickle_rick.py | UTF-8 | 1,299 | 2.859375 | 3 | [
"MIT"
] | permissive | import pickle
import base64 as b64
menu = ""
userDict = {"userName": 'guest',"info":"guest","admin": 0,"points":0}
print( """
Options:
info: Get user info
flag: Get flag and win this.
register: Set your details
save: Save your details for later use
load: Load your save data
points: Check points
\n""")
wh... | true |
16ba53808ad91a040932e14e6ba005a12d3cf8c4 | snbloch/advent2016 | /day20/part2.py | UTF-8 | 902 | 3.03125 | 3 | [] | no_license | import io
from operator import itemgetter
min_int = 0
max_int = 4294967295
num_ports = max_int + 1
max_removed = 0
removals = []
file = open('input.txt', 'r')
for line in file:
min_to_remove = int(line.split('-')[0])
max_to_remove = int(line.split('-')[1])
removals.append((min_to_remove, max_to_remove))
... | true |
184cc0862f01c670b0b4d438bd5633a454b1a535 | snah/yak-server | /yakserver/events.py | UTF-8 | 841 | 2.640625 | 3 | [] | no_license | """Define the event classes."""
import datetime
import ezvalue
class Event(ezvalue.Value):
"""Baseclass for all events."""
timestamp = 'The time the event was created.'
def __init__(self, *args, **kwargs):
"""Initialize the event.
All fields are required except for timestamp, which wi... | true |
c0183706bef2d41d887357106935532fb41da2fd | alex-ten/MSC | /utilities/make_table.py | UTF-8 | 248 | 2.6875 | 3 | [] | no_license | from tabulate import tabulate
def make_table(a, rkeys=None, ckeys=None):
tab_list = []
for i,k in enumerate(rkeys):
tab_list.append([k] + list(a[i]))
table = tabulate(tab_list,floatfmt='.2f', headers = ckeys)
return table
| true |
8d6c8e07caa00963e003cf2d415b2b4afc08cc41 | masakichi/doubanista_slack | /app/translate.py | UTF-8 | 1,774 | 3.15625 | 3 | [] | no_license | # coding: utf-8
import random
import hashlib
import requests
import html.parser as htmlparser
parser = htmlparser.HTMLParser()
__all__ = ['translate']
# Imports the Google Cloud client library
from google.cloud import translate
from config import YOUDAO_APP_KEY, YOUDAO_SECRET_KEY
# Instantiates a client
google_clie... | true |
c8eb875338b97c34072153b1f47ebc4b0c8bdb21 | DariaKutkanych/py-homeworks | /comprehensions/task1.py | UTF-8 | 417 | 3.65625 | 4 | [] | no_license | # Write a function using list comprehensions that takes a list of strings
# and removes those that contain 4 characters or less
def remove_shorts(strings: list) -> list:
pass
assert remove_shorts(['telegram', 'sport', 'call', 'football', 'jet']) \
== ['telegram', 'sport', 'football']
assert remove_shorts... | true |
11cd0488968ae9cd042c0b6a9c90a58505967e60 | ndtatbristol/arim | /tests/_probes/test_probes.py | UTF-8 | 650 | 2.734375 | 3 | [
"MIT"
] | permissive | import arim
probes = arim.probes
def test_probes():
probes.keys()
repr(probes)
str(probes)
assert len(probes) > 0
for (probe_key, probe) in probes.items():
assert isinstance(probe, arim.Probe)
assert probe_key == probe.metadata["short_name"]
key = tuple(probes.keys())[0]
... | true |
8e6a9f4ffb5d58bf653ecaaba0b73a3e53642a8c | ScottSko/Python---Pearson---Third-Edition---Chapter-9 | /Chapter 9 - Programming Exercises #9 - Blackjack Simulator.py | UTF-8 | 3,751 | 3.9375 | 4 | [] | no_license | import random
def create_deck():
deck = {"Ace of Spades": 1, "2 of Spades" : 2, "3 of Spades": 3, "4 of Spades": 4, "5 of Spades" : 5,
"6 of Spades" : 6, "7 of Spades" : 7, "8 of Spades": 8, "9 of Spades": 9, "10 of Spades": 10,
"Jack of Spades": 10, "Queen of Spades": 10, "King of S... | true |
769d44068850d52151a47e30b3e46e9b4278ac6a | OcaenEyes/MachineLearning | /spider/somepic/getpic.py | UTF-8 | 4,719 | 2.71875 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import time
import os
class GetPic():
def __init__(self):
self.BASE_URL = "https://www.meitulu.com"
def create_person_url(self):
person_name = "王语纯"
person_url = self.BASE_URL + "/search/" + person_name
return person_url, person_na... | true |
6362b8e6c7d46fd9af20d6da8a695f929fda18af | DreamLose/python- | /day07/DictFunction.py | UTF-8 | 721 | 3.875 | 4 | [
"MIT"
] | permissive | # 字典 keys() values() items() get() update()
dict
info = {"k1":"v1","k2":"v2"}
print(info)
info.keys()
info.values()
del info["k1"]
print(info)
# 获取key，value
for k,y in info.items():
print(k,y)
#根据序列创建字典，指定统一值
v = dict.fromkeys(['ke','323','999'],[123,"ewe"])
print(v)
# 根据key 获取值，key不存在时可以指定默认值
s = v.get("ke",23232)... | true |
00ee77a4e7de77ac453042c2b56a4d57d21cb3a4 | camptocamp/terraverge | /terraverge/db.py | UTF-8 | 1,156 | 2.640625 | 3 | [] | no_license | import psycopg2
import click
from flask import current_app, g
from flask.cli import with_appcontext
def get_db():
if 'db' not in g:
g.db = psycopg2.connect(current_app.config['PG_CONFIG'])
return g.db
def close_db(e=None):
db = g.pop('db', None)
if db is not None:
db.close()
def ini... | true |
50dffbf6164d2d0cdb46a31d4918f0c107c132d6 | FelixOngati/dhis2-indicators-dictionary | /indicators.py | UTF-8 | 2,928 | 3.03125 | 3 | [] | no_license | import os
import requests
import re
import csv
class Indicators:
username = os.environ.get('DHIS2_USER')
password = os.environ.get('DHIS2_PASS')
auth = requests.auth.HTTPBasicAuth(username, password)
filename = ''
def indicator_group_metadata(self, uid):
request = requests.get(
... | true |
8b827d8499fac2cd22f9c1368cb3111f9346b91e | UKHomeOffice/aws-budget-alerting | /src/lambda_bucket.py | UTF-8 | 2,342 | 2.921875 | 3 | [
"MIT"
] | permissive | """Script generating a CloudFormation template to create an S3 bucket accessible from the AWS
Lambda service
"""
from troposphere import Template, Parameter, Ref, Join
from troposphere import s3
def get_cf_template():
"""Generates CloudFormation code for creating an S3 bucket accessible from the Lambda service,
... | true |
005ecc56d96fc3c69a48e821bf5a26f7e34ffbb9 | suhassrivats/Data-Structures-And-Algorithms-Implementation | /Problems/Leetcode/404_SumOfLeftLeaves.py | UTF-8 | 997 | 3.78125 | 4 | [] | no_license | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
# Iterative - Preorder traversal
class Solution:
def sumOfLeftLeaves(self, root: TreeNode) -> int:
stack, total = ... | true |
83b2e62a2dd8d690074952d541bf27a422dbe734 | barsgroup/barsup-core | /src/pynch/util.py | UTF-8 | 2,680 | 2.796875 | 3 | [
"MIT"
] | permissive | # coding: utf-8
"""Набор вспомогательных конструкций."""
import os
import json
from types import GeneratorType
from yadic.util import merge
def serialize_to_json(obj):
"""
Функция серриализации объектов.
Передается в параметр default вызова json.dumps
:param obj: Объект, который необходимо серриализ... | true |
39a393c00bb507308a412a6c350a4df2e3fe53c7 | ITT-21SS-UR/assignment_introduction_linux_python-KayBrinkmann | /stats.py | UTF-8 | 1,461 | 4.15625 | 4 | [] | no_license | import math
import sys
# calculates mean from list of numbers
def get_mean(lst):
mean = sum(lst) / len(lst)
return mean
# calculates median from list of numbers
def get_median(lst):
sortedlst = sorted(lst)
print(sortedlst)
length = len(lst)
if length % 2 == 0:
median = (sortedlst[int... | true |
8f6f2678cfab1b275128a154480af40eac23f83f | GabrielDeml/deeplab-v3-plus | /findBlobs.py | UTF-8 | 1,225 | 2.734375 | 3 | [] | no_license | import cv2
import numpy as np
imgReal = cv2.imread("8c519ece-0000000_mask.png", 1)
kernel = np.ones((5,5), np.uint8)
imgReal = cv2.dilate(imgReal, kernel, iterations=3)
# lower = np.array(lower, dtype = "uint8")
maskG = cv2.inRange(imgReal, np.array([0, 128, 0]), np.array([0, 128, 0]))
maskR = cv2.inRange(imgReal, ... | true |
f18ad3db992bfd5c0ad1b1b610a48c95f728ffe1 | awoopa/imgfilter | /server/tag.py | UTF-8 | 1,929 | 2.90625 | 3 | [
"MIT"
] | permissive | from collections import defaultdict
from IPython import display
from PIL import Image
from torch import nn
from torch.autograd import Variable
from torchvision import models, transforms
import json
import numpy as np
import torch
# Define a global transformer to appropriately scale images and subsequently convert the... | true |
bf0c0a12e02a1f39cf7d14259884f4782e829282 | wenbinDong/dong | /work/python_pycharm/lesson6/demo1_oop.py | UTF-8 | 1,686 | 4.03125 | 4 | [] | no_license | '''
构造方法
私有变量
私有方法
'''
class Dog:
def __init__(self,gender,variety,name,age):
#print("我是构造方法，在创建对象时自动调用")
self.gender = gender
self.variety = variety
self.name = name
self.__age = age
# 获取对象属性，并打印出来
def get_pro(self):
print("gender:{},variety:{},name:{},age:{}... | true |
6855fc02884b563bd2a5acbe7fe66542b9d673c8 | dmitry-radzevich/mkdocs-plugin-tags | /tags/plugin.py | UTF-8 | 6,848 | 2.65625 | 3 | [
"MIT"
] | permissive | # --------------------------------------------
# Main part of the plugin
#
# JL Diaz (c) 2019
# MIT License
# --------------------------------------------
from collections import defaultdict
from pathlib import Path
import os
import yaml
import jinja2
from mkdocs.structure.files import File
from mkdocs.structure.nav i... | true |
cb31b51dbbda4f847e01d4b6a35ef080cd6128d0 | carlware/pyclean | /tests/clean/entities/test_token.py | UTF-8 | 930 | 2.796875 | 3 | [
"MIT"
] | permissive | from clean.entities.token import UserToken
def test_user_token_obj():
ut = UserToken(username='crl', email='admin@admin.com', avatar='', metadata={})
assert ut.username == 'crl'
assert ut.email == 'admin@admin.com'
assert ut.avatar == ''
assert ut.metadata == {}
def test_user_token_repr():
... | true |
3a6956bea419e278a3f8b692639f1a16715bedd3 | gargutkarsh/hacktoberfest | /armstrong.py | UTF-8 | 312 | 3.546875 | 4 | [] | no_license | n=int(input("enter any 3 digit no."))
temp=n
sum=0
if(n<=999):
while (n>0):
dig=n%10
sum=sum+dig**3
n=n//10
if(temp==sum):
print("entered number is armstrong no.")
else:
print("no. is not armstrong")
else:
print("enter number less than 999")
| true |
e00e97495974cb6dfacc5af4467bbdf74eff92f4 | wAikAp/Intelligent-Energy-Management-System-for-Buildings-INB | /raspberryPi_source_code/FYP_py/camera-python-opencv-master/camera-opencv/02-image_process/canny_edge_detect.py | UTF-8 | 1,351 | 2.859375 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/python
#+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
#|R|a|s|p|b|e|r|r|y|P|i|.|c|o|m|.|t|w|
#+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
# Copyright (c) 2017, raspberrypi.com.tw
# All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# canny_edge_dete... | true |
07be9a593368f11b64d499f56ac73b9a37bb77db | 1034776739/scikit-pr-open | /skpr/simulation/probe.py | UTF-8 | 8,587 | 2.65625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 31 09:34:48 2016
@author: philipp
"""
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from numpy.fft import ifft2, fftshift
from pyE17 import utils as u
#from pyE17.io.h5rw import h5read, h5write
def sect... | true |
0763a2f6b9f3e14012e6df198d3a5c1e391d5f1b | virati/autoLie | /src/lie_lib.py | UTF-8 | 2,034 | 2.734375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 11 10:47:58 2018
@author: virati
Vineet Tiruvadi
virati@gmail.com
Lie Derivatives on predefined operators
"""
from __future__ import division
import autograd.numpy as np
import autograd.numpy.random as npr
from autograd.test_util import check_gra... | true |
d29cc42998b215735036f0207f71ddd5d38be6e8 | biggod-ck/python | /循环.py | UTF-8 | 1,002 | 4.1875 | 4 | [] | no_license | # 在Python中构造循环结构有两种做法，一种是for-in循环，一种是while循环
sum = 0
for x in range(101):
sum += x
print(sum)
print(range(3))
# range 包含开始 不包含结束
# range(101) 0 - 100
# range(10,101) 10 - 100
# range(1,101,2) 1 - 100 步长为2 1 3 5
# range(100, 0, -2)：可以用来产生100到1的偶数，其中-2是步长，即每次数字递减的
sum2 = 0
for y in range(0,101,2):
sum2 += y
print(s... | true |
185f09317e2e21b7036e1576b9e5d0e0f20ce0e8 | Mark1988huang/ppQuanTrade | /neuronquant/ai/managers.py | UTF-8 | 6,272 | 2.609375 | 3 | [
"Apache-2.0"
] | permissive | #
# Copyright 2012 Xavier Bruhiere
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | true |