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 |
|---|---|---|---|---|---|---|---|---|---|---|
21c4ae9caa9e5caba0b497d7e0782452de879b56 | rcchen0526/UVA | /uva_406.py | UTF-8 | 854 | 3.4375 | 3 | [] | no_license | import math
def prime_list(Max):
prime=[]
for i in range(1, Max+1):
check_prime=True
for j in range(2, int(math.sqrt(i))+1 ):
if not i%j:
check_prime=False
break
if check_prime:
prime.append(i)
return prime
while True:
try:... | true |
1c833e14f62e91541ccda00cee1dba296dbef67b | matsuosfh/AtCoder | /コラッツ予想.py | UTF-8 | 865 | 3.21875 | 3 | [] | no_license | def kora(N):
count: int = 0
maxN = 0
while N != 1:
if N % 2 == 0:
N = N // 2
count += 1
else:
N = 3 * N + 1
count += 1
if maxN < N:
maxN = N
return(count,maxN)
N = int(input())
max_count =[]
max_N = []
max_Nw = [] #初期値... | true |
c39b5dd6d4b50e44d0e3223bb8b58849a265983c | amitrs55/Python | /App1.py | UTF-8 | 1,782 | 3.921875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Jun 20 07:29:21 2020
@author: SINGH'S
"""
from pathlib import Path
import json
from difflib import get_close_matches
#create variable to pass dirctory
data_folder = Path("C:/Users/SINGH'S/Documents/Python Scripts/app1")
#create another variable to pass file nam... | true |
7ceafa18fe4e67a79b39ba048db0e7b03b41cda3 | junkings/consensus_monitor | /algorithm/WordSeg.py | UTF-8 | 2,129 | 2.625 | 3 | [] | no_license | #encoding:utf8
import jieba
import pickle
jieba.load_userdict(r'..\statics\user_dict.txt')
# 输出dict，key为类别标签，默认为-1
def wordseg(data, filename=None):
"""输入一个字典，该字典的每一个key是一个文档
输出一个字典，该字典的key是类别，每个类别下有很多文档"""
if data == {}:
print('未获取数据')
return
if filename == None:
filename = "../segresult/data_all_1011.pkl"
... | true |
4033a4235ef731c506400a7c88cc683bcb8e2e0b | AmolVagad/Python_Programming- | /Multiple_Inheritance.py | UTF-8 | 530 | 2.78125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 18 09:06:42 2017
@author: amol
"""
class Flash():
def run(self):
print('running')
def fight(self):
print('fighting')
class Zoom():
def beat(self):
print('Beats Zoom')
c... | true |
288ecd36a5f9af4f389e265e9089e0ef4fb2be5f | myarist/Progate | /Languages/Python/python_study_1/page16/script.py | UTF-8 | 404 | 4.15625 | 4 | [
"MIT"
] | permissive | apple_price = 2
# Terima jumlah apel dengan menggunakan input(), dan berikan hasilnya ke variable input_count
input_count = input("Mau berapa apel?: ")
# Ubah variable input_count ke integer, dan berikan hasilnya ke variable count
count = int(input_count)
total_price = apple_price * count
print('Anda akan membeli ... | true |
a1885a3aff599b2c0cdbec1ea13e3fa33758b717 | oohlaf/asynchttp | /tests/http_session_test.py | UTF-8 | 4,785 | 2.671875 | 3 | [
"BSD-3-Clause"
] | permissive | """Tests for asynchttp/session.py"""
import http.cookies
import tulip
import unittest
import unittest.mock
import asynchttp
from asynchttp.client import HttpResponse
from asynchttp.session import Session
class HttpSessionTests(unittest.TestCase):
def setUp(self):
self.loop = tulip.new_event_loop()
... | true |
c173d752a616fb99e592713fa0fa98f4ee703c47 | shima3434/Introductory_Python_Projects | /Bulk Pricing/test_bulk_pricing.py | UTF-8 | 505 | 2.78125 | 3 | [] | no_license | #Names (Me, Partner): Shima Abdulla, Wilson Badillo
import bulk_pricing as gc
def test_get_cost_happy_path():
'Some happy path cases to test the get_cost function'
assert gc.get_cost(200) == 140
assert gc.get_cost(3) == 2.25
assert gc.get_cost(75) == 54
assert gc.get_cost(1000) == 670
def test_ge... | true |
23cd6526ed1021f74c3a9d90e7ef086ddd75b5ee | hks73/testing | /test_channel.py | UTF-8 | 13,611 | 2.59375 | 3 | [] | no_license | ##################################
import urllib2
import urllib
import sys
import json
import requests
###################################
url_for_internet="http://api.pressplaytv.in/v1/channel?pageLen=1000&pageNum=1"
url_for_hotspot ="http://pressplaytv.in/api/v1/channel?pageLen=1000&pageNum=1"
def check_url(url):
... | true |
46f32b27086e1e12b339c6b564275c2415b4661c | chlo-ek/Random-Flavor-Generator | /source/.ipynb_checkpoints/sourcecode3-checkpoint.py | UTF-8 | 214 | 3.453125 | 3 | [
"MIT"
] | permissive | while True:
try:
myFile = input("Enter filename: ")
newFile = open(myFile)
for line in newFile:
print(line)
break
except:
print("Error, try again!") | true |
a9187a268176fd3d96a47bdc533d2c33cc7c34d1 | mwon0326/2D-GamePrograming | /term/game_world.py | UTF-8 | 815 | 3.09375 | 3 | [] | no_license | objects = [[],[],[],[],[],[]]
layer_bg = 0
layer_player = 2
layer_obstacle = 3
layer_item = 4
layer_gate = 1
layer_message = 5
def add_object(o, layer):
objects[layer].append(o)
def remove_object(o):
for i in range(len(objects)):
if o in objects[i]:
# print('deleting', o)
objects[i].remove(o)
del o
br... | true |
3e1e748864a23e54b481efbb2b0b8c785321fb9f | directorscut82/HistomicsTK | /docs/examples/ReinhardSample.Test.py | UTF-8 | 3,415 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | # Tests ReinhardNorm.py. Normalizes an input image to a standard image in LAB
# color space. The input image, standard image, and normalized output image are
# displayed side-by-side.
# Also tests helper functions:
# RudermanLABFwd.py
# RudermanLABInv.py
import matplotlib.pyplot as plt
import numpy
import openslide
im... | true |
e6c1a79d260ea96cd2926fa6b81bf8f174059cc9 | marinetech/subnero | /test_tx_rx.py | UTF-8 | 2,447 | 2.59375 | 3 | [] | no_license | # Settings
# Node 1
ip_address = "192.168.0.11"
#
# Node 2
# ip_address = "192.168.0.11"
# ip_address = "localhost"
number_of_loops = 2
sleep_between_loops = 0
signal_file = 'PortoVeryShort'
##--------------------------------------##
import sys
import time
import numpy as np
import arlpy.signal as asig
import arlpy... | true |
0204cabbc6aeeffff9bb977167cf0372b0d6cfaf | trnila/biological_algorithms | /cv2/algorithm_options.py | UTF-8 | 1,742 | 2.53125 | 3 | [] | no_license | from PyQt5.QtWidgets import QSpinBox, QDoubleSpinBox, QComboBox
import numpy as np
from widgets import StartPosWidget
class AlgorihmOption:
def build_widget(self, app):
raise NotImplementedError
def get_value(self, widget):
raise NotImplementedError
class IntOption(AlgorihmOption):
def... | true |
bf71b39f9bb9b6fb2558784387abedc4bf04080f | vipasu/MArt | /crosshairs.py | UTF-8 | 904 | 3.015625 | 3 | [] | no_license | import plotting as p
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
N = 1000
numcols = 20
def generate_points(n):
r = np.clip(np.random.normal(0,.7,n), -1, 1)
#r = np.clip(np.random.normal(.3,.2,n), -1, 1)
#r = np.sqrt(np.random.uniform(0,1,n))
theta = np.random.uniform(0, 2 ... | true |
99c2c6a7f7ad750862764b11557f55c91a81fcf9 | reyntors/pix2pix-1 | /preprocess_data.py | UTF-8 | 1,986 | 3.140625 | 3 | [] | no_license | import os
import cv2
import numpy as np
from tqdm import tqdm
from datetime import datetime
# Paths
folderPath = "data/dataset/train"
sourceNPYPath = "data/preprocessed_data/source.npy"
targetNPYPath = "data/preprocessed_data/target.npy"
def separate_source_target(image):
"""
Input: One image of shape (600, 1200,... | true |
09bfe8bad05366e9c202b5910b8e497f54cb5b38 | jcass77/pybites | /pybites_bite54/poem.py | UTF-8 | 310 | 3.359375 | 3 | [] | no_license | INDENTS = 4
def print_hanging_indents(poem: str):
paragraph, _, remainder = poem.partition("\n\n")
for i, line in enumerate(paragraph.splitlines()):
line = line.strip()
print(" " * INDENTS + line) if i > 0 else print(line)
if remainder:
print_hanging_indents(remainder)
| true |
7cfd39e40a1dbf79df1a3924513709a7ca1fcb1d | MADtest/AutotestCourse | /Lesson 4/unic_array_or_not.py | UTF-8 | 554 | 3.546875 | 4 | [] | no_license | # -*- coding: utf-8 -*-
def is_unic(given_list):
list_of_unic = []
elements_count = 0
for j in range(len(given_list)):
for i in range(len(given_list[j])):
elements_count += 1
if given_list[j][i] not in list_of_unic:
list_of_unic.append(given_list[j][i])
... | true |
1f78473c3f9eac058571ec09b1b341e95b15acfa | abhibembalagi/hackerranksolutions | /alternatingcharactersdeletion.py | UTF-8 | 240 | 2.578125 | 3 | [] | no_license | #!/bin/python
import math
import os
import random
import re
import sys
t=input()
for _ in range(t):
s=raw_input()
delete_cnt=0
for i in range(1,len(s)):
if s[i]==s[i-1]:
delete_cnt+=1
print delete_cnt
| true |
5afa1906cbd0eb17a1b28092f208ce231e9c0e61 | rafaelmoresco/POO | /level.py | UTF-8 | 2,471 | 2.984375 | 3 | [] | no_license | import sys
import pygame
import game_functions as gf
from pygame.sprite import Group
from settings import Settings
from player import Player
from enemy import Enemy
import random
class Level:
def __init__(self,screen,gSettings,enemies,p1,trueScreen):
self.screen = screen
self.trueScreen = trueScree... | true |
2878775d53ee1978cea632ba9b1c033627c67b82 | mfraile/dwork | /dwork/dataset/pandas.py | UTF-8 | 3,667 | 3.15625 | 3 | [
"BSD-3-Clause"
] | permissive | import pandas as pd
import random
import operator
import math
from typing import Any
from .dataset import Dataset
from .attribute import Attribute, TrueAttribute
from ..language.types import Array, Type
from ..mechanisms import geometric_noise, laplace_noise
from ..language.expression import Expression
from ..language.... | true |
3fe7d6f19d8a1e0e612eab116e1320f35d4a5ad8 | omerler/DataHack | /ml.py | UTF-8 | 2,748 | 2.5625 | 3 | [] | no_license | import os
import pickle
import numpy as np
import pandas as pd
from sklearn.cross_validation import KFold
from sklearn.feature_selection import VarianceThreshold, RFE, SelectFromModel
from sklearn.preprocessing import normalize
from sklearn.tree import DecisionTreeClassifier
from sklearn.linear_model import Logistic... | true |
d8237a3e16d579496c19e013245e54f2cecf51d6 | vishalbelsare/graphs | /graphs/mixins/analysis.py | UTF-8 | 4,920 | 2.546875 | 3 | [
"MIT"
] | permissive | from __future__ import division, absolute_import, print_function
import numpy as np
import scipy.sparse as ss
import scipy.sparse.csgraph as ssc
import warnings
from ..mini_six import range
from ._betweenness import betweenness
class AnalysisMixin(object):
# scipy.sparse.csgraph wrappers
def connected_components... | true |
cd65f019bf42fa8d9ff9583eec69d6737850b4ca | sattosan/stress_fastapi | /locustfile.py | UTF-8 | 672 | 2.578125 | 3 | [] | no_license | from locust import HttpLocust, TaskSet, task, between
import random
import string
class UserTaskSet(TaskSet):
def on_start(self):
self.client.headers = {'Content-Type': 'application/json;'}
@task(1)
def fetch_user(self):
self.client.get("/users/{}".format(random.randint(0, 100)))
@ta... | true |
7a7043b5129a86d1291b59f9c76984f516f811a2 | VEOjiwon/BaekJoon | /Day1_printcat.py | UTF-8 | 663 | 3.796875 | 4 | [] | no_license | '''
백준
입출력과 사칙연산
고양이
개
A*B
A/B
사칙연산
나머지
곱셈 2588번문제
'''
print('''\ /\\
) ( ')
( / )
\(__)|''')
print('''|\_/|
|q p| /}
( 0 )"""\\
|"^"` |
||_/=\\\\__|''')
'''
#사칙연산
L = list(map(int, input().split()))
print(L[0]+L[1])
print(L[0]-L[1])
print(L[0]*L[1])
print(int(L[0]/L[1]))
print(L[0]%L[1])
#나머지
L = ... | true |
021b6bd35bdc209fbf09187c0a514fb578e6862c | leogtzr/python-cookbook-code-snippets | /strings_and_text/matching_regex_schema1.py | UTF-8 | 144 | 2.546875 | 3 | [] | no_license | import re
url = 'http://www.python.org'
# url = 'alv'
has_schema = re.match('http:|https:|ftp:', url)
if has_schema:
print('Exist ... ')
| true |
b5fcf7b601329eaa240ff39deaa143f6243e3dc7 | schatzkara/Recombination-Rates | /Model_and_Simulations/OLD/id_sim.py | UTF-8 | 5,657 | 3.140625 | 3 | [] | no_license | #! python3
# script to simulate DNA sequences mutating and produce a matrix of the ID% between them
import random
import numpy as np
def sim_id_percent(L, generations, GC_prop, kappa, phi):
alpha = ((1/L) * kappa)/(kappa + 1) # probability of transitions
beta = (1/L)/(kappa + 1) # probability of transversions
anc... | true |
21b6c8427b071d2bda5c0c08b303b97b1fe5a498 | hsuan97/nlu_restaurant | /code/nlu_restaurant_prediction.py | UTF-8 | 3,899 | 2.625 | 3 | [] | no_license | import os
import numpy as np
import pandas as pd
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Embedding
from keras.models import model_from_json
#from sklearn.preprocessing import LabelEncoder
MAX_SEQUENCE_LENGTH = 100
MAX_VOC... | true |
6787e4516a91df3ab2727e7e1c10e9ffb7b50600 | likeshumidity/heroku-flask-quakes-lesssimple | /foo.py | UTF-8 | 723 | 2.640625 | 3 | [] | no_license | from urllib.parse import urlencode
import csv
import requests
GMAPS_URL = 'https://maps.googleapis.com/maps/api/staticmap?'
USGS_FEED_URL = 'http://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/significant_month.csv'
def get_quake_data():
resp = requests.get(USGS_FEED_URL)
data = list(csv.DictReader(res... | true |
d1b2667b89067d47847df7d0969e4b97f6290d30 | Adasumizox/ProgrammingChallenges | /codewars/Python/5 kyu/Rot13/rot13.py | UTF-8 | 301 | 3.109375 | 3 | [] | no_license | from string import ascii_lowercase, ascii_uppercase
def rot13(message):
lower = str.maketrans(ascii_lowercase, ascii_lowercase[13:] + ascii_lowercase[:13])
upper = str.maketrans(ascii_uppercase, ascii_uppercase[13:] + ascii_uppercase[:13])
return message.translate(lower).translate(upper) | true |
868ea9ac13319510e3b610fb7340b606f5a81297 | carolinewainwright/Onset_code | /find_water_year_or_season.py | UTF-8 | 11,343 | 3.78125 | 4 | [] | no_license | # This script contains the code to find the start and end of the
# climatological water year for regions with one wet season per year
# or the start and end of the two climatological water seasons
# if the point in question has two wet seasons per year
# It also contains the functions used to find the minima and maxi... | true |
76782f16c59a9cd00277bd4eb92e0771c6b79f0d | punithakur/shopping-app | /shoppingapp.py | UTF-8 | 4,869 | 2.71875 | 3 | [] | no_license | from model import *
class app:
choise=0
prolist=[]
custlist=[]
clist=[]
orlist=[]
def start(self):
while True:
self.printoption()
if app.choise==1:
self.addcategory()
elif app.choise==2:
self.catlisting()
... | true |
55e16b950af62435c8906c1a53550a817a76c734 | linxiaohui/CodeRepoPy | /Video/CameraVideo/VideoFaceDetection.py | UTF-8 | 1,532 | 2.5625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
import cv2
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
# 摄像头只能一个进程获取
camera = cv2.VideoCapture(0)
# 格式
#('P', 'I', 'M', '1') = MPEG-1 codec
#('M', 'J', 'P', 'G') = motion-jpeg codec
#('M', 'P', '4', '2') = MPEG-4.2 codec
#... | true |
05808ad835a3386c9cdd273cc302411220085205 | RYZF-SUCC/quantize_cnn | /quantize/s_round.py | UTF-8 | 249 | 2.609375 | 3 | [] | no_license | import torch
import math
import random
def s_round(x):
"""
随机舍入，最小的精度是1
:param x:
:return:
"""
x_f = torch.floor(x)
p = x-x_f
b = torch.bernoulli_(p)
x_f.__add__(b)
return x_f
# test() | true |
b0cb6ccc4385ac80bf111a5ff52123e4c6e1a233 | taimurIslam/django | /smart life/test.py | UTF-8 | 87 | 2.84375 | 3 | [] | no_license | a = "taimur"
if a[0]==len(a)-1:
print('matched')
else:
print('not matched') | true |
569e0bb6bfc48961ad249a1c991acc9ab379faad | M-T3K/Codewars | /6-kyu/IsPrime/isPrime.py | UTF-8 | 293 | 3.1875 | 3 | [] | no_license | #Kata can be found at: https://www.codewars.com/kata/5262119038c0985a5b00029f
def is_prime(num):
if num < 2:
return False
if num == 2 or num == 3:
return True
i = 2
while i < num:
if num % i == 0:
return False
i += 1
return True
| true |
edc8e31f42e4a562968184c64445e7617396926b | jtlai0921/MP31601 | /CH03/CH0341A.py | UTF-8 | 279 | 3.796875 | 4 | [] | no_license | '''
計算 2+4+...+20 偶數和，當計數器為10就離開廻圈
'''
sum = 0 #儲存累加值
for count in range(2, 20, 2):
if count == 10:
break # 中斷廻圈的執行
else:
sum += count
print('計數器 = ', count, ' 總和 = ', sum)
| true |
9189b01f9971ee1c0ff08adab8286c4334a41a16 | Nishi311/NEU_Capstone_2018_2019 | /Interfaces/side_and_quadrant_handling/side_object.py | UTF-8 | 9,570 | 2.78125 | 3 | [] | no_license | import os
from .quadrant_object import Quadrant
class SideObject(object):
THIS_FILE_PATH = os.path.dirname(os.path.abspath(__file__))
CONFIG_FILE_NAME = "quadrant_config.txt"
def __init__(self, side_name=None):
if side_name:
self.side_name = side_name
else:
self.... | true |
12f9519b6d6304712969380b708455915ff171f1 | nikhil-nakhate/search-engine-udacity | /test.py | UTF-8 | 576 | 3.6875 | 4 | [] | no_license | '''
Created on 21 Apr 2013
@author: Nikhil
'''
def find_element(p, t):
i = 0
for e in p:
if (e == t):
print i
return i
i = i+1
return -1
find_element([1,2,3], 3)
def find_element_in(p, t):
if (t in p):
print p.index(t)
return ... | true |
e13a9e679b304e6b17d059468c89798e42614f2d | pai10464/python | /Loop+/loop11.py | UTF-8 | 366 | 2.90625 | 3 | [] | no_license | x = [e for e in input()]
not_du = []
ans = ''
for e in range(len(x)):
if x[e] not in not_du:
not_du.append(x[e])
num = list(range(len(not_du)))
no_du = 0
for e in not_du:
num[no_du] = 0
for i in x:
if i == e:
num[no_du] += 1
no_du += 1
for e in range(len(not_du)):
ans += ... | true |
fc694f91de969f0947ee2f72021b4ccb44ccd21f | Euler1707/Zelle2 | /futval.py | UTF-8 | 572 | 3.859375 | 4 | [] | no_license | '''
Created on Aug 27, 2018
# futval.py
# A program to compute the value of an investment
# carried 10 years into the future
24 CHAPTER 2. WRITING SIMPLE PROGRAMS
# by: John M. Zelle
@author: ECOLINNA
'''
def main():
print "This program calculates the future value of a 10-eyar investment"
p... | true |
b4c7322359a130c53600a3c22646b6890ff1bf25 | jain-avi/Faster-RCNN | /keras_frcnn/time_distributed_blocks.py | UTF-8 | 3,021 | 2.765625 | 3 | [] | no_license | """
Author : Avineil Jain and Sravan Patchala
This file contains the architecture blocks used for the classifier
Note the beautiful use of the TimeDistributed blocks here, because the ROI's can be thought of as a series of signals
"""
#Time distributed layers for the Faster RCNN classifier network!
from keras.layers... | true |
1116459ed6a214ade8c3b4174a296db7b964d3c7 | Murmally/scryer | /loader.py | UTF-8 | 1,000 | 2.984375 | 3 | [] | no_license | import os
import sc2reader
def get_filename_from_path(path):
tmp = path.split('\\')
return tmp[len(tmp) - 1]
def format_teams(replay):
teams = list()
for team in replay.teams:
players = list()
for player in team:
players.append("({0}) {1}".format(player.pick_race[... | true |
7fe62a782cd4c9dbab62092bf8a932ada937d3f1 | gahogg/rl_learn | /rl_learn/rl_learn/bandits/__init__.py | UTF-8 | 862 | 2.546875 | 3 | [] | no_license | """
bandits
A package for designing and evaluating agents that perform on bandit problems.
Modules
-------
environments
Defines an interface that all bandit environments must provide, as well as
provide some sample ones. They interact with agents in the agents module.
agents
Defines an interface that all band... | true |
051de9bf1ac4150160766e3ed0ec1bcd05bf705e | xuechao1/DX_interfaceTest | /common/configEmail.py | UTF-8 | 3,623 | 2.546875 | 3 | [] | no_license | # -*-coding:utf-8 -*-
import os
import smtplib
from email.header import Header
from config import readConfig, getpathInfo
from common.Log import logger
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
read_conf = readConfig.ReadConfig()
subject = read_conf.get_email('subject') # 从配... | true |
6f372fe2535dfa0c74140c611b6b0c4d4b929546 | jonathanqbo/moncton-python-2020 | /week1/i_am_a_writer.py | UTF-8 | 250 | 2.828125 | 3 | [] | no_license | print('I am a writer')
print('If I can see it,' + ' then i can do it')
print("""\
If I just believe it, there's nothing to it
I believe I can fly
I believe I can touch the sky
I think about it every night and day
Spread my wings and fly away
""")
| true |
6f1ef42bc7ead0feb8dd8e5868dd14bbdf843039 | TIM245-W16/tim245-1 | /TestVisualizations.py | UTF-8 | 1,568 | 2.5625 | 3 | [] | no_license | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import DataLoader as dl
import Helpers as hlp
import arch
import statsmodels.api as sm
from scipy.signal import detrend
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
for cur in dl.valid_currencies():
print 'Evaluating {}'.forma... | true |
d115deed980a4f1933a4e4d24759bb5f0cb525dc | AaronVillanueva/InteractivePythonRunestone | /Capitulo 4/Poligonos.py | UTF-8 | 494 | 4.03125 | 4 | [] | no_license | #coding: UTF-8
#Este programa crea un poligono de cuantos lados se le indique.
import turtle
wn = turtle.Screen()
wn.bgcolor("white")
Maki = turtle.Turtle()
Maki.color('red')
Maki.pensize(3)
def dibujarPoligono(t, numerolados, lado):
for i in range(numerolados):
t.forward(lado)
t.left(360/numerola... | true |
b4624da4a2abd0f3bb091de5b905b7c38d1a3dfc | arnaldosantosjr/projetos_de_pyton | /exercicios/ex008.py | UTF-8 | 213 | 4 | 4 | [] | no_license | #O programa converte o valor dado em metros para centímetroe e milimetros
m = int(input('Digite um valor para conversão.\n'))
cm = m * (10**2)
mm = m * (10**3)
print('{}m vale {}cm ou {}mm.'.format(m, cm, mm))
| true |
fc48919ac5f869915b5e7ef33157f9326feec9d9 | Dboingue/somber | /somber/sequential.py | UTF-8 | 12,866 | 3.09375 | 3 | [
"MIT"
] | permissive | """The sequential SOMs."""
import logging
import json
import numpy as np
from tqdm import tqdm
from .som import Som
from .ng import Ng
from .components.utilities import shuffle
from .components.initializers import range_initialization
from functools import reduce
logger = logging.getLogger(__name__)
class Sequenti... | true |
8fca26e58856f1780306c183e5b0e5400decdcae | mafavaron/USonic_Simulators | /src/usonic2.py | UTF-8 | 600 | 2.828125 | 3 | [] | no_license | #!/usr/bin/env python3
import serial
import time
import random
if __name__ == "__main__":
random.seed()
port = serial.Serial('/dev/ttyUSB0', 9600, timeout=1)
i = 0
while True:
i += 1
iu = random.randint(-6000,6000)
iv = random.randint(-6000,6000)
it = random.randint( ... | true |
245801f25d9bfbc4595ed68075fc5baeccf52dd5 | TheFausap/qvm | /scripts/plotbloch.py | UTF-8 | 800 | 2.640625 | 3 | [] | no_license | #!/usr/bin/env python
import qutip
import sexpr
import numpy
import sys
def getqmem(str):
return sexpr.str2sexpr(str)[0]
def getqids(exp):
return exp[0]
def getnodes(exp):
return exp[1]
def parse_file(file):
qids = []
q = {}
f = open(file)
s = f.read()
f.close()
parsed = getqmem(s... | true |
15cb28cab001590303705e3e3dbbbb7891ccd57d | yingtaoluo/51jobs-Text-Mining | /sy3/calculate.py | UTF-8 | 77 | 3.03125 | 3 | [] | no_license | import math
def cal(k,m):
return math.log10(k)*m
print(cal(4,1/4)) | true |
fd02de072907eea7005b479102b6d210609d45bf | dassimanuel000/social-py | /ig_post.py | UTF-8 | 1,307 | 2.765625 | 3 | [] | no_license | from instabot import Bot
#import instabot as bot
#from instabot-py import Bot
def main_ig():
def post():
bot = Bot()
bot.login(username = username.get(), password = password.get())
bot.upload_photo(image_path_.get(), caption =message_.get())
ig_master = Tk()
ig_master.title('INST... | true |
330757bca1260e7b39967c8af99a5773691bda28 | MackeiWeng/myoms | /app/authentication/auth.py | UTF-8 | 4,489 | 2.78125 | 3 | [] | no_license | # -*- coding:utf-8 -*-
import jwt,datetime,time
from flask import jsonify
from .model import User
from utils.ReturnCode import falseReturn,trueReturn
from config.setting import Config
import functools
from utils.ReturnCode import *
class Auth():
@staticmethod
def encode_auth_token(user_id,login_time):
... | true |
12fde4f00c24f30bf73f20165584af19ad88c554 | aglab2/pdp11-emu | /pdp11_scripts/scripts/vram2font.py | UTF-8 | 413 | 2.859375 | 3 | [] | no_license | from sys import argv
import struct
with open(argv[1], "rb") as f:
with open(argv[1]+".font", "wb") as out:
n = 0
curWord = f.read(2)
while curWord:
j = n % 95
i = int((n - j) / 95)
out.seek(2*(16*j + i))
print(curWord[1])
out.write(struct.pack("B", curWord[1])) #Convert to little-endian for bett... | true |
e5f778ca0108195feacdfd80793cb2d1caf07e9b | rctillotson25/python-exercises | /Python-programming/q16.py | UTF-8 | 389 | 4.125 | 4 | [] | no_license | # -*- coding: utf-8 -*-
# Question 16
# Level 2
# Question:
# Use a list comprehension to square each odd number in a list. The list is input by a sequence of comma-separated numbers.
# Suppose the following input is supplied to the program:
# 1,2,3,4,5,6,7,8,9
# Then, the output should be:
# 1,3,5,7,9
print ','.jo... | true |
245ca1c0b45c115bc93666e8f0d3fac8bf5bbc24 | Simon-Hostettler/Reddit_Image_Scraper | /IMGFixer.py | UTF-8 | 2,123 | 2.984375 | 3 | [] | no_license | import subprocess
import os
import re
import logging
import traceback
from PIL import Image
#Directory where images are stored
directory = "xxx"
# Tries to open image file and checks errors
# If file does not open correctly, file deleted!
# WARNING: DO NOT HAVE ANY OTHER FILES THAN IMAGES IN THIS DIRECTORY!!!
files ... | true |
ae20530854ec58b6b0cbe3ddd27ab227b003106b | nagask/CrackingTheCodingInterview | /StacksAndQueues/threeStacks.py | UTF-8 | 132 | 2.515625 | 3 | [] | no_license | #Describe how you could use a single array to implement three stacks.
#rough idea
def threeStacks():
a=b=c=Stack()
d=[a,b,c] | true |
03da453828f8a5bb4151cdb02a1af06e3f631557 | ddenizakpinar/Practices | /Sequence Equation.py | UTF-8 | 340 | 3.390625 | 3 | [] | no_license | # https://www.hackerrank.com/challenges/permutation-equation/problem
# 03.08.2020
def permutationEquation(p):
ans = []
for i in range(1,len(p)+1):
x1 = p.index(i)
x2 = p.index(x1+1)
ans.append(x2+1)
return ans
n = int(input())
p = list(map(int, input().rstrip().split()))
print(per... | true |
d778d1f3a299edac83e1b9aa2b9201310a369734 | vit-001/advisor | /trader/trade_request.py | UTF-8 | 483 | 2.671875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
__author__ = 'Vit'
class TradeRequest:
BUY="BUY"
SELL="SELL"
def __init__(self, type, callback=lambda time,value:None, comment=""):
self.type=type
self.callback=callback
self.comment=comment
def is_buy(self):
return self.type==TradeRequest.BUY
... | true |
90eff087ef1cf2493035a8115f626fcb4e5d9e9a | Chinmaykalvade/Rpi | /picamera.py | UTF-8 | 3,577 | 2.765625 | 3 | [] | no_license | # !/usr/bin/python
# load sudo modprobe bcm2835-v4l2 for video input
#Import dependencies from pygame, time, GPIO, sys and OS
import sys, os, pygame
import pygame.camera
import time
import datetime
import picamera
from picamera import PiCamera
import pygame.image
from time import sleep, strftime
import RPi.GPIO as GPI... | true |
3f936b76713fd9193813bb4c59606463fa2def6d | macinjoke/various | /python/dotinstall-to3/11_dictionary.py | UTF-8 | 324 | 3.640625 | 4 | [] | no_license | # coding: UTF-8
# 辞書 key value
# [2505, 523, 500]
sales = {"taguchi":200, "fkoji":300, "dotinstall":500}
print(sales)
print(sales["taguchi"])
sales["fkoji"] = 800
print(sales)
# in
print("taguchi" in sales) # True
# keys, values, items
print(list(sales.keys()))
print(list(sales.values()))
print(list(sales.items()))
| true |
7a06ba6256dc971c322390afcfd8d398a4872cd4 | vishalsakpal/pynet_test | /stringex2.py | UTF-8 | 219 | 2.90625 | 3 | [] | no_license | #!/usr/bin/env python
from __future__ import print_function
ip_addr = input("Enter IP Address:")
print (ip_addr)
ip_addr = ip_addr.split(".")
print (ip_addr)
print ("{:<12} {:<12} {:<12} {:<12}".format(*ip_addr))
| true |
3e2c2a132624f7df687507628ba94618b9c3c361 | carlanlinux/TrainingPython | /LyndaPythonEssentialTraining/03_Types_Bool.py | UTF-8 | 563 | 3.5 | 4 | [] | no_license | #!/usr/bin/env python3
# Copyright 2009-2017 BHG http://bw.org/
x = True
print('x is {}'.format(x))
print(type(x))
x = False
print('x is {}'.format(x))
print(type(x))
x = 7 > 5
print('x is {}'.format(x))
print(type(x))
# Ausencia de valor
x = None
print('x is {}'.format(x))
print(type(x))
x = 0 # 0 Es false
# Non... | true |
f8a5de101369ee7b44996e07ced520feef1346cf | Rediet8abere/CodePath | /pal.py | UTF-8 | 559 | 3.796875 | 4 | [] | no_license | def isPalindrome(s):
print(len(s))
left = 0
right = len(s)-1
# iterrate through the string from left and right
while left < right:
if not s[left].isalpha() and not s[right].isalpha():
left += 1
right -= 1
elif not s[right].isalpha():
right -= 1
elif not s[left].isalpha():
l... | true |
09c336767d536b867611d45eb79cac9de5b50b01 | SuperOxigen/CanDev-Finance-Canada | /gathernomics/models/sourcetbl.py | UTF-8 | 5,846 | 2.71875 | 3 | [
"MIT"
] | permissive | """Restaurant Site - Source Table Model.
Copyright (c) 2018 Alex Dale
See LICENSE for information.
"""
from datetime import date as Date
from enum import Enum
import logging
from gathernomics.models.base import ModelBase
logger = logging.getLogger("gathernomics.models.sourcetbl")
class SourceTableType(Enum):
... | true |
5f0ad852a92c2405233f304753ba532c170a927a | yikeke/python-side-projects | /ffmpeg/moviepy.py | UTF-8 | 1,450 | 2.859375 | 3 | [
"MIT"
] | permissive | from moviepy.editor import *
# https://zulko.github.io/moviepy/ref/VideoClip/VideoClip.html#videofileclip
# def one_video(filename):
# # clip and concatenate one video
# # waiting on user: please give one clip...
# clip1 = VideoFileClip("1.mp4").subclip(0,158) #读取视频1.mp4，并截取0-158秒的内容
# # waiting on use... | true |
8c8f7726877a3c31359a6d962319ede51f40525a | kaviraj333/python | /sqsumdigites.py | UTF-8 | 81 | 2.703125 | 3 | [] | no_license | amu =list( map(int,raw_input("")))
abi= 0
for i in amu:
abi+=i**2
print(abi)
| true |
b36c02785ef5e3dffe43287c6af3b373e71e4c61 | ray-project/ray | /doc/source/serve/doc_code/tutorial_sklearn.py | UTF-8 | 2,232 | 2.65625 | 3 | [
"MIT",
"BSD-3-Clause",
"Apache-2.0"
] | permissive | # fmt: off
# __doc_import_begin__
from ray import serve
import pickle
import json
import numpy as np
import os
import tempfile
from starlette.requests import Request
from typing import Dict
from sklearn.datasets import load_iris
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.metrics import mean_... | true |
f4da18593c7b676c6c6af82384d8d087b83b9b02 | muniri92/microsoft-interview-study | /src/temp_tracker.py | UTF-8 | 1,986 | 4.1875 | 4 | [
"MIT"
] | permissive | """
Write a class TempTracker with these methods:
insert()—records a new temperature
get_max()—returns the highest temp we've seen so far
get_min()—returns the lowest temp we've seen so far
get_mean()—returns the mean ↴ of all temps we've seen so far
get_mode()—returns a mode ↴ of all temps we've seen so far
Optimize ... | true |
694d5fbb640d75b019df2234414b1d386cc37691 | GAA-UAM/scikit-fda | /skfda/tests/test_grid.py | UTF-8 | 11,212 | 2.796875 | 3 | [
"BSD-3-Clause"
] | permissive | """Test FDataGrid behaviour."""
import unittest
from typing import Sequence, Tuple
import numpy as np
import scipy.stats.mstats
from mpl_toolkits.mplot3d import axes3d
from skfda import FDataGrid, concatenate
from skfda.exploratory import stats
class TestFDataGrid(unittest.TestCase):
"""Test the FDataGrid repre... | true |
eaa5f0618399d792dc4d8c01eb4ac0e4ecf6277e | AndreaCensi/boot_olympics | /src/bootstrapping_olympics/interfaces/streamels/streamels_make.py | UTF-8 | 3,199 | 2.671875 | 3 | [] | no_license | from .base import streamel_dtype, ValueFormats
from contracts import contract
import numpy as np
__all__ = ['new_streamels', 'make_streamels_2D_float',
'make_streamel_bit', 'streamels_join_1D', 'make_streamels_rgb_float',
'make_streamels_float', 'make_streamels_1D_float',
'make_streame... | true |
800624ccd23e45fe0f81ad6c5712ad8e659eb6e9 | szhongren/leetcode | /111/main.py | UTF-8 | 206 | 2.53125 | 3 | [] | no_license | """
Given a binary tree, find its minimum depth.
The minimum depth is the number of nodes along the shortest path from the root node down to the nearest leaf node.
"""
# TODO: NEEDS CODE FROM BEFORE | true |
831ccd31f28d6639590b637fc3f78e3c6ff02c12 | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/arc010/A/4655503.py | UTF-8 | 258 | 2.890625 | 3 | [] | no_license | from sys import stdin
input = stdin.readline
n, m, a, b = map(int, input().split())
for i in range(1, m+1):
c = int(input())
if n <= a:
n += b
n -= c
if n < 0:
print(i)
break
else:
print("complete") | true |
80fc362c842bd761465305a88ad4e62a8fa8c799 | erlendea/testing_github | /chapter_4/animals_1.py | UTF-8 | 83 | 3.625 | 4 | [] | no_license | animals = ['ulv','bjørn','jerv']
for animal in animals:
print(animal.title()) | true |
4491083614048d66da04020a83f5fb1c6a52c190 | umar1196/MachineLearning | /updatedcode.py | UTF-8 | 4,104 | 2.546875 | 3 | [] | no_license | import mysql.connector as ct
import xlsxwriter
from BioSQL import BioSeqDatabase
from Bio import Entrez
from Bio import SeqIO
from Bio import Align
def generate_sub_db(user, pasword, query_db_name, descrip, db_name, gene_id, flag, given_database_id):
'''
function generates a sub database, retrive records ... | true |
9c5db512354619a9112ce4c21d79aaac4e105371 | krieya/PCFG_Parser | /parser.py | UTF-8 | 5,310 | 3.09375 | 3 | [] | no_license | import numpy as np
from nltk.tree import Tree
from nltk.grammar import Nonterminal
from collections import defaultdict
from nltk import CFG,PCFG
def create_table(sent_len):
'''Create a table appropriate for CYK parsing. Returns a list of lists of empty lists'''
outer_l = []
for i in range(sent_l... | true |
48db6a0bf07c46535c558a6597205adf4977bc5b | mritunjay2404/PythonProject | /if_statement.py | UTF-8 | 97 | 3.421875 | 3 | [] | no_license | # if statement
age=int(input("type your age:"))
if age>=18:
print("you r elegible to vote.") | true |
7beef195b700b769f657ce8bf1f91a1822f77f73 | BaldvinAri/Python_verkefni | /Vika 01/voyager1.py | UTF-8 | 1,073 | 3.5625 | 4 | [] | no_license | d0_miles = 16637000000
# Distance from sun day 0 in miles
vpHour_miles = 38241
# Speed of Voyager in miles per hour
vpDay_miles = 38241 * 24
# Speed of Voyager in miles per day
MilesToKm = 1.609344
# Km per mile
d0_km = MilesToKm * d0_miles
# Distance from sun day 0 in km
vpHour_km = MilesToKm * vpH... | true |
c666ff0f5c5329e39975a7f29af33055cf9b69c0 | anton-dovnar/checkio | /Polygon/merge_intervals_generator_version.py | UTF-8 | 1,959 | 3.78125 | 4 | [] | no_license | #!/home/fode4cun/.local/share/virtualenvs/checkio-ufRDicT7/bin/checkio --domain=py run merge-intervals-generator-version
# You are given a sequence of intervals, as tuples of ints where the tuples are sorted by their first element in ascending order.
# Your task is to minimize the number of intervals by merging those... | true |
eb3dcb237073b0d0c871cdff3b46dd170070596d | myliu/python-algorithm | /leetcode/water_and_jug.py | UTF-8 | 641 | 3.1875 | 3 | [] | no_license | class Solution(object):
def canMeasureWater(self, x, y, z):
"""
:type x: int
:type y: int
:type z: int
:rtype: bool
"""
def gcd(a, b):
return a if b == 0 else gcd(b, a%b)
# Deal with the case where either x or y is zero and the other one i... | true |
19191078c619f0c955f797eff64903b4856eaa3f | Neromaru/SoftservElementary | /Task7/Test/Test.py | UTF-8 | 768 | 3.28125 | 3 | [] | no_license | import unittest
from Task7.main import NaturalOrder
class TestNaturalOrder(unittest.TestCase):
def test_root_as_a_border_value(self):
initial = NaturalOrder(64)
expected = 8
return self.assertEqual(
initial.check_rot(64**0.5),
expected
)
def test_... | true |
a46fbcef70e330e040deb8e58b2fb29552c96e86 | MrHamdulay/csc3-capstone | /examples/data/Assignment_7/shzlwa001/question1.py | UTF-8 | 562 | 3.90625 | 4 | [] | no_license | # program for removing duplicate strings after "first encounter"
# Lwazi Shezi
# 1 May 2014
print('Enter strings (end with DONE):')
# initialise variables to be used
new_string = ''
string_list = []
while new_string != 'DONE' :
new_string = input()
# add the new string in the list containing the... | true |
c773a2316c8bea391172117ff1519b06efa7a332 | baptiste-pasquier/MCM_ensae | /tools.py | UTF-8 | 591 | 2.984375 | 3 | [] | no_license | import os
import shutil
import matplotlib.pyplot as plt
class PDF():
def __init__(self, fig_folder):
self.fig_folder = fig_folder
self.fig_count = 0
shutil.rmtree(fig_folder, ignore_errors=True)
os.makedirs(fig_folder)
def export(self, name=None):
if name is None:
... | true |
f36c85c4787aaab3fdc4431a8d2d033cd4363175 | BedirT/Algorithms_and_DS | /Problems/LeetCode/070_climbing_stairs.py | UTF-8 | 200 | 2.6875 | 3 | [] | no_license | class Solution:
def climbStairs(self, n: int) -> int:
dp = [1 for _ in range(n + 1)]
for i in range(n - 2, -1, -1):
dp[i] = dp[i + 1] + dp[i + 2]
return dp[0]
| true |
8a333a0e0d9e229d55d752583e5177f3122580f2 | emithongle/AD---20160602 | /20160602 - 000/libs/utils.py | UTF-8 | 2,578 | 2.984375 | 3 | [] | no_license | import string
def findMaxStringP(text, type, skip=0, skip_chars=''):
i, nskip = 0, 0
while (i < len(text) and nskip <= skip):
if (type == 'ascii'):
if (text[i] not in skip_chars):
if (text[i] in string.digits + string.punctuation):
nskip += 1
... | true |
d1081afcde18e18a6bb61c8665f200fad3518c91 | marcovnyc/penguin-code | /Python_Talk/mpt-master/mptpkg/myttt.py | UTF-8 | 8,079 | 3.46875 | 3 | [] | no_license | import turtle as t
from random import choice
from copy import deepcopy
from mptpkg import voice_to_text, print_say
def ttt():
t.setup(600,600,100,200)
t.hideturtle()
t.tracer(False)
t.bgcolor("red")
t.title("Tic-Tac-Toe in Turtle Graphics")
# Draw horizontal lines and vertical line... | true |
57ff5eaa697e47b44766d2d7c535d7f1df9b8076 | SandraBurlinge/python-challenge | /PyBank/main.py | UTF-8 | 1,866 | 3.546875 | 4 | [] | no_license |
import os
import csv
from csv import reader
csvpath = os.path.join('Resources', 'budget_data.csv')
with open(csvpath, newline='') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',')
csv_header = next(csvreader, None)
#create a Python script that analyzes the records to calculate each of the follow... | true |
1f750652c47e2353a4854f881bdb31d5dde41c68 | hujeff/select_lunch | /select_lunch.py | UTF-8 | 5,942 | 3.65625 | 4 | [
"MIT"
] | permissive | import random
lunch = ['中餐','西餐','甜点']
chinese_food = ['鱼香肉丝','青椒肉丝','鱼香茄子','红烧鱼块','香干回锅肉','粉蒸肉','干锅花菜','玉米排骨','小白菜','小炒黄牛肉']
western_food = ['巨无霸汉堡','墨西哥鸡肉卷','薯条','嫩牛五方','板烧鸡腿堡','黑椒牛排','通心粉','双层皇堡']
dessert = ['三明治','蛋糕','龟苓膏','奶茶','冰淇淋','麦片']
def PrintList(self):
global lunch,chinese_food,western_food,dessert
... | true |
4da20266cc63021a0285110520f25a1d9dc123c0 | Baichenjia/Non-local-nets-tensorflow | /train_cifar_10.py | UTF-8 | 5,131 | 2.515625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import os
import tensorflow as tf
import numpy as np
from non_local_tf import non_local_block
tf.enable_eager_execution()
n_class = 100
layers = tf.keras.layers
class CNN(tf.keras.Model):
def __init__(self, non_local=True):
super(CNN, self).__init__()
self.non_local = non_... | true |
5219a171bc15d719dc795a1852084dbd4acd3998 | ShaoxiongYuan/PycharmProjects | /5. Python数据分析+人工智能/3. 深度学习/3. Extra/Day15/01_rail/01_rail.py | UTF-8 | 2,812 | 3.21875 | 3 | [] | no_license | import cv2 as cv
import math
import numpy as np
def calc_line_points(x1, y1, x2, y2):
k = float(y2 - y1) / float(x2 - x1) # 斜率
b = float(y1) - float(x1) * k # 偏置
points = []
for x in range(x1, x2 + 1):
y = int(k * x + b)
points.append((x, y))
return points
def cross_point(lin... | true |
6899444b3164142acacb2a3faa83809cae034acc | MilanSpiridonov/psdWebReader | /PythonApplication1/PythonApplication1.py | UTF-8 | 5,600 | 2.671875 | 3 | [] | no_license | from psd_tools import PSDImage
from PIL import Image
import os
#INIT
script = '' #HTML code, components will be added later in code #aligncenter
script += """<!DOCTYPE html>
<html>
<head>
<style>
.aligncenter{
text-align: center;}
a:hover{opacity: .75;}
p{
font-family: "Times New Roman";
}
</style>
<title> Landing Pa... | true |
6698193ddcc3920eb6fd37bd93be6136246ccbb8 | lucky5656/Python-Code | /Python/练习28——判断写入的字符串参数是否回文联(递归).py | UTF-8 | 531 | 4.03125 | 4 | [] | no_license | def Huiwen(temp,start,end):
if start > end:
return 1
else:
if temp[start]==temp[end]:
return Huiwen(temp,start+1,end-1)
else:
0
temp = input('请输入一段文字：')
length = len(temp)
end = len(temp)-1
if Huiwen(temp,0,end):
if temp[0:length//2] == temp[leng... | true |
6a6bf405616973dba9aa132bddac1dd386e175b3 | kaist-plrg/jstar | /tests/compile/basic/es2016/CharacterSetMatcherAbstractOperation.spec | UTF-8 | 857 | 3.09375 | 3 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | 1. Return an internal Matcher closure that takes two arguments, a State _x_ and a Continuation _c_, and performs the following steps when evaluated:
1. Let _e_ be _x_'s _endIndex_.
1. If _e_ is _InputLength_, return ~failure~.
1. Let _ch_ be the character _Input_[_e... | true |
1b4741340c6c62bab8bcad8071d51e4a6f1c03c0 | CodeJudge-9000/Streak_Data_Analysis | /Brownian.py | UTF-8 | 5,071 | 3.46875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import csv
import os
import numpy as np
import matplotlib.pyplot as plt
import math
import seaborn as sns
## Trajectory plot of Brownian motion by Johanna
# Changes working directory
os.chdir('/Users/Johanna/OneDrive - Danmarks Tekniske Universitet/DTU/3. Semester/Fagprojekt/Data ... | true |
426e72b2400e3dd5ecbb847d33ba1b02dca5c0aa | I-am-YuLang/MADGCN | /model/Subgraph.py | UTF-8 | 2,223 | 2.625 | 3 | [] | no_license | # -*- coding:utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
from lib.utils import scaled_Laplacian, cheb_polynomial
import torch.optim as optim
from model.layer import GraphConvolution
class sub_graph_parallel(nn.Module):
'''
并行化计算子图
GCN of the sub_graph
'''
def __in... | true |
533acf4e8974dc51cb66d88517c40cd9c9308c5f | randodev/masfrl-licenta | /masfrl/slave/connection/socket_connection.py | UTF-8 | 2,214 | 3.40625 | 3 | [] | no_license | """
Module that takes care of communication from/to MASFRL-Server.
Offers send/receive methods, both which encode and decode messages
automatically. Requires MASFRL-Server credentials to connect.
"""
import socket
import logging
import masfrl.messages as messages
# Use module logger
logger = logging.getL... | true |
965e0f58ef9039fa51db6f381268cda12d40a85c | mfkiwl/PVTsensors | /All_Digital_VTSensor/2nd_version/Verilog_65nm_RTL/Scripts/Script_Dummy_RO_Top.py | UTF-8 | 872 | 2.75 | 3 | [
"Apache-2.0"
] | permissive | #######################################
# Define variable
#######################################
# define how many dummy ROs needed, maximum 32*8
dummy_cnt = 512
#######################################
# Create file
#######################################
# Create a new file
f = open("Dummy_RO_Top.v","w")
# write th... | true |
6ee4f5c25bb196a61c64bfc457716f887a5e068b | tonyxiahua/CIS-40-Python | /CIS 40/Lab7.py | UTF-8 | 1,191 | 3.484375 | 3 | [] | no_license | dic = {}
keys = dic.keys()
''' Handle '''
for line in open("words.txt"):
line = line.strip()
for word in line:
if word in keys:
dic[word] += 1
else:
dic[word] = 1
''' Printer '''
for data in sorted(dic.values()):
for elem in dic.keys():
if dic.get(elem) == dat... | true |