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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
ffc069fa663c70246b55d04771b3fded4b971ad0 | Python | bozbalci/ceng435 | /part_two/stats.py | UTF-8 | 2,090 | 2.953125 | 3 | [] | no_license | import json
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
def mean_confidence_interval(data, confidence=0.95):
"""
Copied from https://stackoverflow.com/questions/15033511/compute-a-confidence-interval-from-sample-data
"""
a = 1.0 * np.array(data)
n = len(a)
m, se = np... | true |
2443d3ccccf852b432daa780940d93a440fe57d8 | Python | jibespanola/fastapi-stockscreenerapp | /test_yfinance.py | UTF-8 | 84 | 2.890625 | 3 | [] | no_license | import yfinance as yf
msft = yf.Ticker("MSFT")
#Prints stock info
print(msft.info) | true |
4870bce3905e6c4fb097d0cde1eaf24e334698e0 | Python | DoomwareSoftwareSolutions/playground | /apps/authentication/tests.py | UTF-8 | 5,249 | 2.65625 | 3 | [] | no_license | from django.test import TestCase
from apps.authentication.models import User
class UserTest(TestCase):
def testUsersRawCreation(self):
u = User(username = "hello", hashedID = "123452", email = "hello@hello.com")
u2 = User(username = "hello2", hashedID = "123452", email = "hello2@hello.com")
u.save()
U = User... | true |
08cdd3f69142441442fdda4383345cc4b346618b | Python | geniustesda/my-project | /python_crawl/city_weather/city_list.py | UTF-8 | 430 | 2.6875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
'''
简单的爬取城市列表，有一些地名没有更新
'''
import requests
from lxml import etree
r = requests.get("http://www.52maps.com/china_city.php#0")
html = etree.HTML(r.content)
content = html.xpath('.//*[@class="col-md-12"]/a/text()')
for i in content:
i = i.encode("utf-8")
if i != None:
f = open("... | true |
3ea87a645d66ad84ebaffa2fee6eb94df84cd11e | Python | PerlMonker303/py-sockets-chat-app | /server3.py | UTF-8 | 10,079 | 2.53125 | 3 | [] | no_license | import struct
import socket
import ctypes
import sys
import threading
import select
'''
- server receives TCP connections from clients to register them
- create a thread for receiving messages from clients
- for each new client the server will ping all other clients
- for each client who leaves the server -... | true |
541f2372cfdb89bb9a3c1d02e905df41ff37c181 | Python | Imajon/Egg-V2 | /scripts/tools/servo.py | UTF-8 | 513 | 2.984375 | 3 | [] | no_license | # Servo Control
import time
def set(property, value):
try :
f = open("/sys/class/rpi-pwm/pwm0/" + property, 'w') f.write(value)
f.c lose()
except:
print("Error writing to: " + property + " value: " + value)
def setServo(angle): set("servo", str(angle))
set("delayed", "0") set("mode", "servo") set("servo_max", "180") se... | true |
8b0fc84f1ed27e20dbc289efcfaa00693b626875 | Python | pombredanne/pandaslite | /pandaslite/stats.py | UTF-8 | 421 | 3.265625 | 3 | [
"BSD-3-Clause"
] | permissive | import math
def is_numeric(x):
try:
for i in x:
float(i)
return True
except:
return False
def mean(x):
if is_numeric(x):
return sum(x) * 1.0 / len(x)
def variance(alist):
if is_numeric(alist):
m = mean(alist)
return map(lambda x: (x - m)**2,... | true |
4cd048629af07f32cc183734de8dd816c53ab71a | Python | rhammell/isw-visuals | /data/format_data.py | UTF-8 | 3,423 | 3.1875 | 3 | [] | no_license | # Format ISW product data into new datasets that are utilized
# by the various visualizations
import json
import requests
import dateutil.parser
# Open ISW product data
fname = "isw_products.json"
with open(fname, "r") as f:
products = json.load(f)
# Create histogam of people and how many products they are incl... | true |
79b2a59f34394f6466bca5487aa7202db0a79ddd | Python | Jinsaeng/CS-Python | /al4995_Hw_02_q3.py | UTF-8 | 254 | 3.421875 | 3 | [] | no_license | import math
def factors (num):
lst = []
for i in range(1, math.ceil(math.sqrt(num))):
if num% i == 0:
lst.append(i)
yield i
lst.reverse()
for ele in lst:
i = int(num/ele)
yield i
| true |
33757da03b3e1972a607551bccf174b85a84901b | Python | LuizVinicius38/01-Arte-em-ASCII | /Desafio_4.py | UTF-8 | 344 | 3.1875 | 3 | [] | no_license | print("PARABENS!!!!!!!!!")
print("")
print("DINOSSAUROOOOOOOOO!")
print(" __")
print(" / _)")
print(" .-^^^-/ / ")
print(" __/ /")
print("<__.|_|-|_|")
print("")
print("OLHA O BOLINHO :D")
print(". " *11)
print("i "*11)
print("#"*21)
print("="*21)
print("#"*21)
print(... | true |
77ebf8f95547ae0491a1fc1b84ddeced43a5e984 | Python | stets/dmvchecker | /main.py | UTF-8 | 567 | 2.984375 | 3 | [] | no_license | import requests
f = open('nerdwords', 'r')
words = f.read().split('\n')
def plateChecker(plate):
base_url = 'https://services.dps.ohio.gov/BMVOnlineServices/VR/Availability/Passenger/GetAvailability?vehicleClass=&newPlate={0}&organizationCode=0'.format(plate)
r = requests.get(base_url)
if 'currently ava... | true |
3c77e33555f74defc480aa058b33fae32f82b59c | Python | daniloaugusto0212/EstudoPython | /python_dankicode/exercicios/numero_primo.py | UTF-8 | 361 | 4.40625 | 4 | [] | no_license | num = int(input("Digite um número inteiro para saber se ele é primo: \n"))
primo = False
if num > 1:
for i in range(2, num):
print(i, "\n")
if (num % i) == 0:
primo = False
break
else:
primo = True
if primo:
print(f"O número {num} é primo!")
else:
print(f"... | true |
b4747669a9d56eb5a4d3327d8dcd9b4d410bbd1e | Python | QuestionC/euler | /Euler38.py | UTF-8 | 722 | 3.828125 | 4 | [] | no_license | # 192 x (1, 2, 3) = (192, 384, 576) which joins into a pandigital
# 9 x (1, 2, 3, 4, 5) = (9, 18, 27, 36, 45)
# What is the largest pandigital number that can be formed this way where the tuple is (1, 2, ..., n) for n > 1?
import itertools
max = 0
for n in range (2, 10):
y = tuple(range(1, n + 1))
for x in ... | true |
7b059e5c3a711e4fe55f18affbbf5caa34849787 | Python | Jonathan-aguilar/DAS_Sistemas | /Ago-Dic-2019/JOSE ONOFRE/PRACTICAS/Practica1/MoreConditionalT.py | UTF-8 | 927 | 3.75 | 4 | [
"MIT"
] | permissive | color = 'azul'
print(color == 'azul')
palabra = 'ambiente'
print('///////////////////////////////')
if palabra != 'mundo':
print("Las palabras no son iguales!")
print('///////////////////////////////')
tamano = 10
print(tamano==10)
cantidad = 13
if cantidad != 10:
print("La cantidad no es la indicada")
prin... | true |
14fb5589fb3210376dba84a4cda2c663a4104a3d | Python | ian0/ARC | /src/common_utils.py | UTF-8 | 1,338 | 3.46875 | 3 | [
"Apache-2.0"
] | permissive | """NUI Galway CT5132/CT5148 Programming and Tools for AI (James McDermott)
Common funtions for Assignment 3
Student name(s): Ian Matthews
Student ID(s): 12100610
"""
import numpy as np
import json
from itertools import chain
def load_file(filename):
"""
Read in a json file from the data/training folder i... | true |
fa5feee2714c6c23da110d7bd8bb29cdf18fd855 | Python | gaoxinge/bible | /python/pysheeet/5/test.py | UTF-8 | 166 | 2.96875 | 3 | [] | no_license | def func_1():
print("Hello")
def func_2():
print("World")
def func_3():
print("!!!")
s = [func_1, func_2, func_3]
for _ in s: _() | true |
fe34c5dd289b26c86969e6818ad6de53f506555f | Python | himnsuk/Python-Practice | /Interview/LinkedList/link_list.py | UTF-8 | 1,711 | 4.25 | 4 | [] | no_license | class Node:
def __init__(self, data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
def add_node_in_end(self, node):
if self.head is None:
self.head = node
else:
n = self.head
while n.ne... | true |
22db9430ca8cc8a6ddd2fb94d1f92c92424dbc6e | Python | justinALEX01/Python-resources | /Python_T5.py | UTF-8 | 1,002 | 3.90625 | 4 | [] | no_license | # Create a class to open file
class OpenFile():
file = ""
def __init__(self,_fileName):
self.fileName=_fileName
def openfile(self):
self.file = open(self.fileName)
def closefile(self):
if self.file.close():
self.file = None
#Create a class to Write File
class WriteF... | true |
339a00d34c351662c34ad771ba8ac3b7ac59aa67 | Python | anovacap/holberton-system_engineering-devops | /0x15-api/0-gather_data_from_an_API.py | UTF-8 | 1,251 | 3.359375 | 3 | [] | no_license | #!/usr/bin/python3
"""Using a REST API for a given employee ID, returns
information about his / her TODO list progress """
import requests
import sys
def main():
if len(sys.argv) == 2 and type(eval(sys.argv[1])) == int:
todos_url = "https://jsonplaceholder.typicode.com/todos"
user_url = "https://j... | true |
a07bf39ff5c5e99901c2b6a992d26289c7a48b3d | Python | erolneuhauss/studies | /python/thomas_theis_einstieg_in_python/8.3.2_lesen_ende.py | UTF-8 | 390 | 3.6875 | 4 | [] | no_license | #!/usr/bin/python
# Module importieren
import sys
# Zugriffversuch
try:
d = open("lesen.txt")
except:
print("Dateizugriff nicht erfolgreich")
sys.exit(0)
# Lesen, Ausgabe und Summierung aller Zeilen
summe = 0
zeile = d.readline()
while zeile:
summe += float(zeile)
print(zeile, end="")
zeile ... | true |
f6f4bc825b3bec6d1b8721b7ed78a26ab9dd2e37 | Python | jamenze/Harley-Saves-Earth- | /Bullet.py | UTF-8 | 1,234 | 3.703125 | 4 | [] | no_license | import pygame
from pygame.sprite import Sprite
class Bullet(Sprite):
def __init__(self,screen,the_player,direction):
super(Bullet, self).__init__()
self.screen = screen
self.rect = pygame.Rect(0,0,25,5)
self.color = (255, 255, 255)
self.rect.centerx = the_player.rect.right # right side of player's rectangl... | true |
511eb62b26d32aa197f1892ed38a4230bc6f2269 | Python | TANISHCHHABRA/Competitve-Programming | /LeetCode/July-Challenge-202/Week1/arranging_coins.py | UTF-8 | 253 | 2.890625 | 3 | [] | no_license | class Solution:
def arrangeCoins(self, n: int) -> int:
ans = 0
x = n
for i in range(1,n+1):
if x >= i:
x = x - i
ans += 1
else:
break
return ans
| true |
03c30b804a15783bbd6e16ce7f63441ae305f02a | Python | Aasthaengg/IBMdataset | /Python_codes/p03286/s580907455.py | UTF-8 | 134 | 3.078125 | 3 | [] | no_license | n=int(input())
ans=""
k=0
while n!=0:
ans=str(n%2)+ans
n=n-(n%2)*(-1)**k
n=n//2
k+=1
if ans=="":
ans=0
print(ans)
| true |
78f2dc9d931dfd3ac381b3b625384136449038b9 | Python | statsmodels/statsmodels | /statsmodels/robust/norms.py | UTF-8 | 24,923 | 3.203125 | 3 | [
"BSD-3-Clause"
] | permissive | import numpy as np
# TODO: add plots to weighting functions for online docs.
def _cabs(x):
"""absolute value function that changes complex sign based on real sign
This could be useful for complex step derivatives of functions that
need abs. Not yet used.
"""
sign = (x.real >= 0) * 2 - 1
retu... | true |
f99bf0d563572a81feff6be3ccfa0bf15579ec1c | Python | nu-childlab/gazepoint-prototype | /gazepoint_object.py | UTF-8 | 3,764 | 2.53125 | 3 | [] | no_license | import socket
from psychopy import event,core
import time
class gazepoint_object():
def __init__(self,host='127.0.0.1',port=4242):
self.host = host
self.port = port
self.address = (host, port)
return
def calibrate(self, duration=15):
"""Runs the calibration screen, and ... | true |
90c487fd2e0ad9fb4218452a826eb29f5dbca946 | Python | harperj/graphlab-specializer | /pagerank_graph.py | UTF-8 | 764 | 2.640625 | 3 | [] | no_license | import graph as gl
class PageRankGraph(gl.Graph):
RESET_PROB = gl.double(0.15)
TOLERANCE = gl.double(0.01)
last_change = gl.double(0.0)
class VertexData(gl.Graph.Vertex):
def __init__(self):
self.val = gl.double(3.0)
class EdgeData(gl.Graph.Edge):
pass
def update(... | true |
f80d9eda1962511b41cbb57ea552c7c75b5336ed | Python | Timoluo/PythonLearning | /Practice/Test33-OOPAdvanced-UsingProperty.py | UTF-8 | 2,446 | 4.375 | 4 | [] | no_license |
### 使用@property
# 为了限制参数的合理性与范围，可以通过函数检查、设置；用另一个来获取
class Student(object):
def get_score(self):
return self._score
def set_score(self, value):
if not isinstance(value, int):
raise ValueError('score must be an integer!')
if value < 0 or value > 100:
raise Valu... | true |
5590810a60877b6a16ca071bdebd00fe0cfa52f7 | Python | Prabin-Neupane/task1.py | /dict.py | UTF-8 | 1,946 | 4.03125 | 4 | [] | no_license |
# Make a dictionary using lists above and delete the key-value (students:marks) pairs with lowest marks.
import math
students = ['jack','jill','david','silva','ronaldo']
marks = ['55','60','53','66','76']
dict ={}
for key in range(len(students)):
dict[students[key]] = marks[key]
print(dict)
dict_2 ={}
for items i... | true |
55572f19edcb77872ef8a51bc29049139b37f770 | Python | SymmetricChaos/NumberTheory | /Computation/RootFinding/BisectionMethod.py | UTF-8 | 1,122 | 3.625 | 4 | [
"MIT"
] | permissive | # The bisection method finds a
from warnings import warn
from GeneralUtils import sign
def bisection_method(a,b,func,iters=10):
fa = func(a)
fb = func(b)
if sign(fa) == sign(fb):
raise Exception("Points must have opposite signs.")
# Guarantee that a is the negative side and b i... | true |
89e09f186d61281b888a7362fe9e0dfa5bb00d17 | Python | dondongwon/pcme | /datasets/vocab.py | UTF-8 | 3,771 | 3 | 3 | [
"MIT",
"BSD-3-Clause",
"Apache-2.0"
] | permissive | """ Create a vocabulary wrapper.
Original code:
https://github.com/yalesong/pvse/blob/master/vocab.py
"""
from collections import Counter
import json
import os
import pickle
import fire
from nltk.tokenize import word_tokenize
from pycocotools.coco import COCO
ANNOTATIONS = {
'mrw': ['mrw-v1.0.json'],
'tgif'... | true |
1f567e507b94e69a04506428f618858bd8ecba52 | Python | YyzHarry/ME-Net | /fancyimpute/soft_impute.py | UTF-8 | 6,624 | 2.6875 | 3 | [
"MIT"
] | permissive | # 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 writing, software
# distributed under th... | true |
d1a2cae03a70155cc72a4428853c14eef55411c4 | Python | omervered0708/HW2 | /data.py | UTF-8 | 1,639 | 3.640625 | 4 | [] | no_license | import pandas
class Data:
def __init__(self, path):
"""
the function loads the data from the csv file
:param path: the path to the csv file
:return: none
"""
df = pandas.read_csv(path)
self.data = df.to_dict(orient="list")
def get_all_districts(self):... | true |
99e10177103eafc657c5f2cd5f6ff444fbfd1c24 | Python | santsy03/RADIX | /Source_Code/madagascar/appussd/utilities/metrics/core.py | UTF-8 | 1,989 | 2.71875 | 3 | [] | no_license | from utilities.metrics.metricHandler import heartBeat
from utilities.logging.core import log
def send_metric(metrics, metric_type='timer'):
'''wrapper function for sending metrics.
invokes respective metric sending func based on
type of metric
@params: metrics dict, and metric_type
'''
if metr... | true |
9ffb4b3d36787b2846a3f40003b874e174937c31 | Python | Mr-ari/Python-Programs | /dictionaries_prac.py | UTF-8 | 679 | 3.484375 | 3 | [] | no_license | def histogram(s):
h = dict()
for c in s:
if c not in h:
h[c] = 1
else:
h[c] += 1
return h
def LookUpError():
print ("Error")
def reverse_look_up(h,value):
for key in h:
if h[key] == val:
return key
raise LookUpError()
def invert_dict(h):
invert = dict()
for key in h:
val = h[key]
if... | true |
4c090f5eccadc96334486bd352fe9064db4702b5 | Python | chithrasasidharan/pyth | /pyth/sudoku.py | UTF-8 | 9,974 | 2.953125 | 3 | [] | no_license | #!/usr/bin/env/python3
from tkinter import *
from tkinter import messagebox
import tkinter as tk
import time
import random
window = Tk()
window.title('Sudoku')
window.geometry('700x700')
window.configure(background="white")
center = Frame(window, bg = 'white',width = 200,height = 200,padx=30,pady=30)
center.grid(row... | true |
fae1a607be17020a0ec026f05181dcf137c51afe | Python | abhinavsingh/sshpool | /sshpool/ctl.py | UTF-8 | 3,292 | 2.515625 | 3 | [
"BSD-3-Clause"
] | permissive | # -*- coding: utf-8 -*-
"""
sshpool.ctl
~~~~~~~~~~~
This module maintain pool of SSH channels and allow communication via RESTful API
:copyright: (c) 2013 by Abhinav Singh.
:license: BSD, see LICENSE for more details.
"""
import sys
import cmd
import time
import logging
from .client import Client... | true |
86ba1e95df899b1760ad49913cccf272511be68b | Python | ketralnis/lua_sandbox | /lua_sandbox/tests/perf.py | UTF-8 | 3,472 | 3.21875 | 3 | [
"BSD-2-Clause"
] | permissive | """
Measure performance of lua_sandbox under the most common conditions
This is:
1. bring up a VM
2. load up some code in a sandbox
3. execute that loaded code over and over with different globals set in the
sandbox
"""
import re
import timeit
from lua_sandbox.executor import Capsule
from lua_sandbox.executor im... | true |
1882dc67d6205b9d165ef066d9d9215deeeb5208 | Python | ggibson5972/Notable_project | /query.py | UTF-8 | 2,433 | 2.75 | 3 | [] | no_license | #Author: Grace Gibson
#Date: 7/31/2018
#Main method for POSTGRESQL text analysis project
#import interface to connect to postgres
hostname = 'localhost'
username = 'postgres'
password = 'aw3s0me!'
database = 'notable'
import psycopg2
print "Using psycopg2..."
myConnection = psycopg2.connect(host=hostname, user=userna... | true |
492e47be6429a22ea83425ced5deda473ab63a88 | Python | leobol96/MCTS | /node.py | UTF-8 | 1,289 | 3.96875 | 4 | [] | no_license | class Node(object):
"""
The Node class is used to build the binary tree.
Each node that is not a leaf is connected to two children, the right one and the left one.
"""
def __init__(self, t=0, n_a=0, reward=None, left=None, right=None):
"""
Constructor method
:param t: Reward... | true |
0ca69da07703a007b6fd529d9b183818364bdffd | Python | meudnaes/Hydro-dynamics-Tests | /SodShock/sod_shock_exact.py | UTF-8 | 6,904 | 2.984375 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import fsolve
class SodShockTube:
"""
Exact solution to the Sod shock problem after time t
Inspired by:
- https://www.astro.uu.se/~hoefner/astro/teach/ch10.pdf
--> calculation of expansion fan and determination of regions
- ... | true |
4584c668b6ec9822b684fe9d5e3976dad8783e7e | Python | ShuKate/my-sandbox | /part1/task2.py | UTF-8 | 213 | 4.125 | 4 | [] | no_license | #Is it a leap-year?
n = int(input('A year between 1900 and 3000\n'))
if 1900 <= n <= 3000:
if n % 4 == 0 and n % 100 != 0 or n % 400 == 0:
print('Leap-year!')
else:
print('Ordinary year!')
| true |
3984b31ed66620ed8dd7dc974f6e258cc9839b0f | Python | vvvictorlee/TextSimilarity | /TextSimilarity-VSM-Gensim.py | UTF-8 | 2,549 | 2.984375 | 3 | [] | no_license | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import logging
import time
from gensim import corpora, models, similarities
# 基于向量空间模型（VSM）实现的中文文本相似度计算，对于平均 170 词的 3148 篇文章，耗时约 21s
# 使用的是 Gensim：https://radimrehurek.com/gensim
# 打印调试信息
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.I... | true |
78876dec9fb0d326430c5663da685993129a9eda | Python | dflay/calibration | /conv.py | UTF-8 | 1,158 | 3.171875 | 3 | [] | no_license | # read in calibration coeffs from other analyzers and create a json object
import csv
import json
import pandas as pd
# whose data are we looking at
usr = "ran-hong"
dataFile = "run-1_04-03-20"
# test DF output
# csv_path = "/home/dflay/Workplace/dflay/calibration/output/blinded/flay/04-04-20/calibData... | true |
22d4ad76994162237e3d322bf528b460ede3838c | Python | Nuclearblitz12/Star-Trek-Game | /Star Trek.py | UTF-8 | 5,296 | 3.671875 | 4 | [] | no_license | import random
class Character:
def __init__(self):
self.hull = 100
self.shields = 100
self.power_systems = 100
self.torpedos = 20
self.speed = 0
self.evasion = 0
self.accuracy = random.randrange(0,100)
self.enemy = "Klingons"
self.... | true |
e6fa908ef587291b418fe2f4b0be573c385312f5 | Python | gaojijun/code-seg | /python-code/exceptions_jjgao.py | UTF-8 | 639 | 3.359375 | 3 | [] | no_license | import sys
def tell_time():
sys.exit('hello')
# 1. how to use raise
# 2. sys.exit will throw an exception, it's type is SystemExit.
# 3. SystemExit/KeyboardInterrupt cannot be caught by 'except Exception'
def first_catch():
try:
tell_time()
except:
print 123
raise
try:
first_... | true |
8e627ba316704641691c845dfda59e910218974f | Python | Olivier-Lakoue/titanic-neural-network | /titanic.py | UTF-8 | 1,696 | 2.71875 | 3 | [] | no_license | import numpy as np
import pandas as pd
from sklearn.cross_validation import train_test_split
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.utils import np_utils
from keras.optimizers import SGD
#far too much repetition, just cleaning the data for the neural net
df = pd.read_... | true |
90759121c5fa8ec589b88efb5ca63b511824a8bd | Python | MaxTran96/Text-Prediction | /Prediction_Model.py | UTF-8 | 5,651 | 3.375 | 3 | [] | no_license | import tensorflow as tf
import nltk
import collections
import numpy as np
from tensorflow.contrib import rnn
TEXT_FILE_NAME = 'atom_text'
NUM_WORDS_FOR_PREDICTION = 3
tf.reset_default_graph()
# Function to take a list of words and create a dictionary from them
# Takes in a list of strings where each word is its own s... | true |
a697db1e5b092daed4fdee4d9496c986aae79391 | Python | HotchkissCP/cmimc2021 | /cmimcai1/main.py | UTF-8 | 8,536 | 3.734375 | 4 | [] | no_license | # Bet Starter File
# NOTE: You can run this file locally to test if your program is working.
#=============================================================================
# INPUT FORMAT: hand, others, card, scores
# hand: Your current hand (a list of integers 2 to 14)
# others: All other players' hands, in a fixed... | true |
322436001370b30da44ca910963724d5908c9a80 | Python | Hironobu-Kawaguchi/atcoder | /aribook/_template_aribook222itemgetter.py | UTF-8 | 583 | 3.515625 | 4 | [] | no_license | # 蟻本をPythonで (初級編)
# https://qiita.com/saba/items/affc94740aff117d2ca9
# 2-2 猪突猛進！ "貪欲法"
# 例題 2-2-2 区間スケジューリング問題
# 多次元リストの sort に使える
from operator import itemgetter
n = int(input())
s = list(map(int, input().split()))
t = list(map(int, input().split()))
st = sorted([(s[i], t[i]) for i in range(n)], key=i... | true |
7443a286584b0be37dbb91f83ab1b5c5aabaee78 | Python | oncsr/ERICA_2019060346 | /cal.py | UTF-8 | 2,777 | 3.0625 | 3 | [] | no_license | import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
class Form(QWidget):
def __init__(self):
QWidget.__init__(self, flags=Qt.Widget)
self.cnt = 0
self.lb = QLabel(str(self.cnt))
self.plus = QPushButton()
self.minus = QPushButton()
self.multi = QPushButton()
self.parti = QPushButton()
... | true |
5fa88036b82b893faa65ff8efe3ca8ed6b3c48f8 | Python | zhouhye/campingScraper | /src/root/nested/example.py | UTF-8 | 1,065 | 2.984375 | 3 | [] | no_license | '''
Created on May 12, 2016
@author: hillenr
'''
from bs4 import BeautifulSoup
from urllib2 import urlopen
BASE_URL = "http://www.chicagoreader.com"
def get_category_links(section_url):
html = urlopen(section_url).read()
soup = BeautifulSoup(html, "lxml")
boccat = soup.find("dl", "boccat")
category_... | true |
107e5226d557798b21b0d673c1a1a7be230fbe2c | Python | qfma/ohnolog-dc | /utilities/io.py | UTF-8 | 1,140 | 3.46875 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | #!/usr/bin/env python2.7
# ''' Input/Output helper scripts
# This file provided various python functions that use the os and sys
# modules in order to list files, folders etc.
# '''
import os
def list_folder(infolder):
'''Returns a list of all files in a folder with the full path'''
return [os.path.join(in... | true |
3389862c581a6daedd1ae2694f2f77a5a8a5498b | Python | HelioGuilherme66/robotframework-seleniumlibrary | /utest/test/keywords/test_keyword_arguments_element.py | UTF-8 | 1,259 | 2.53125 | 3 | [
"Apache-2.0"
] | permissive | import unittest
from mockito import mock, unstub, when
from robot.api import logger
from SeleniumLibrary.keywords import ElementKeywords
class KeywordArgumentsElementTest(unittest.TestCase):
def setUp(self):
ctx = mock()
ctx._browser = mock()
self.element = ElementKeywords(ctx)
def... | true |
b052bc8693505bbbb1d3b99a16108d6a6b21956b | Python | vtsartas/ejpython | /ejpy/ejercicios2/ejs/ejercicio4.py | UTF-8 | 829 | 4.46875 | 4 | [] | no_license | # 4. Programa que lea por teclado tres números enteros H, M, S
# correspondientes a hora, minutos y segundos respectivamente,
# y comprueba si la hora que indican es una hora válida.
def ejercicio4():
# iniciamos 'otro4' para que entre en el while
otro4="s"
while (otro4=="s"):
# pedimos la hora
... | true |
f9f3fe1bfb3252aba32f848ab10ed18985d00c9e | Python | xxg2/pythonl | /ch3/listp.py | UTF-8 | 665 | 3.328125 | 3 | [] | no_license | # 列表可以包含任何类型的
L = [123, 'spam', 1.23]
print(len(L))
print(L[1])
print(L[:-1])
L.append('NI')
L = L + [4,5,6]
print(L)
# remove the third item
L.pop(2)
print(L)
# ------------------------------
M = ['bb', 'cc', 'aa']
M.sort()
print(M)
M.reverse()
print(M)
# ---------------列表解析表达式
matrix = [[1,2,3],[4,5,6],[7,8,9]]
prin... | true |
fe2b8d162d74f615b595cb0369a4d32d0362fb91 | Python | sayyedsy/sayyed-saber | /Armstrong number.py | UTF-8 | 180 | 2.953125 | 3 | [] | no_license | num=int(input("enter any no="))
sum=0
a=num
while num>0:
dg=num%10
sum=sum+dg*dg*dg
num=num//10
if a==sum:
print("armstrong number")
else:
print("not armstron")
#407
#153
#1-9 | true |
e85aea0e9d782b5a05f2d4a5e7f57aec8508f2ba | Python | VukW/age_detection | /utils/pytorch_wrapper.py | UTF-8 | 3,393 | 2.625 | 3 | [] | no_license | from abc import ABC, abstractmethod
from typing import List
import torch
from torchvision import transforms
augmentation = transforms.Compose([transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
transforms.ToPILImage(),
transforms.RandomHorizon... | true |
58f663c194c18b3ed962a06db6d000d1b3bfe3ec | Python | josue-islas/matplot_library | /Scripts/6.1_Proyecto_Final_Dash_Guia.py | UTF-8 | 3,549 | 2.59375 | 3 | [] | no_license | # FASE 1: IMPORTAR LIBRERÍAS
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from dash.dependencies import Input, Output
import pandas as pd
app = dash.Dash()
# FASE 1: CARGA DE DATOS (dataframe df_ventas --> Pestaña "Detalle" / dataframe df_ventas_acu... | true |
8defe55a3d83b0946df381486940c5d671a1a605 | Python | TMearns1609/Initial-Repo | /test.py | UTF-8 | 132 | 2.890625 | 3 | [] | no_license | from myUtils import MyUtils
strToFloat = MyUtils()
Num=input("Your number here: ")
Float = strToFloat.strToFloat(Num)
print (Float)
| true |
0c3b9f676419553d98159ec503bc918ce7732800 | Python | erick-r-anderson/UPS-_Router | /package.py | UTF-8 | 1,111 | 3.203125 | 3 | [] | no_license | # i am storing the package as a custom object data structure
# this allows easy access to each of the various attributes of the package
# and this also allows multiple references to the same package object at various points in the program
class Package:
def __init__(self, package_id, address, city, state, zip... | true |
2ce4939cd4c0dbc0eb5993304e46468eb5a8a5c0 | Python | FL12358/Stellar_Spin_Rates | /ReportExamples.py | UTF-8 | 15,188 | 2.75 | 3 | [] | no_license | import numpy as np
import matplotlib.pylab as plt
from matplotlib.cm import ScalarMappable
from astropy.stats import LombScargle
import math
from astropy.io import fits
import matplotlib.patches as mpatches
def RemoveNaN(a,b,c): #Determines NaNs in f and creates new shorter arrays without NaNs
validIndex = np.... | true |
6bf0d347b35ae2e2a86d3162599f641a3aa47af4 | Python | zdyxry/LeetCode | /tree/0572_subtree_of_another_tree/0572_subtree_of_another_tree.py | UTF-8 | 1,060 | 3.9375 | 4 | [] | no_license | # Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def isSubtree(self, s, t):
"""
:type s: TreeNode
:type t: TreeNode
:rtype: bool
"""
... | true |
4a56955197e3cbc67f8d59fb16a01b9208d82d14 | Python | tomjsstewart/AutoInsta | /PostQueue.py | UTF-8 | 2,882 | 3.5 | 4 | [] | no_license | from Post import Post
import queue as Q
from datetime import datetime
from dateutil import parser
import json
class PostQueue():
"""
Stores all posts in the order in which they should be posted.
PostQueue will read posts.json file to populate itself.
"""
def __init__(self):
... | true |
22067fd33aa887c93866b75c3aaac270754cbff5 | Python | Mohaymin/QASystem | /q_a_system/spacy_play/answer_type_extraction.py | UTF-8 | 2,611 | 2.859375 | 3 | [] | no_license | """
Answer type can be date, location, number, person, resource, list
"""
from q_a_system.global_pack import constant
from q_a_system.spacy_play import parts_of_speech, keyword_extraction
def printAnswerType(ques, keyword):
question = constant.nlp(ques)
qu = ques.split(' ')
number = ["height", "elevation... | true |
612b06db867150d604b0d65d692bfe35c14f4ab7 | Python | mlaneuville/evolve | /processing/Report.py | UTF-8 | 5,895 | 2.546875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
@author: mlaneuville
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from matplotlib.backends.backend_pdf import PdfPages
from collections import OrderedDict
from PyPDF2 import PdfFileReader, PdfFileMerger
import graphviz
import os
... | true |
19f5a2043857bda6168b01a0cffd1d1c93b6947c | Python | mkuczynski11/Leetcode-solutions | /41.py | UTF-8 | 585 | 3.296875 | 3 | [] | no_license | #https://leetcode.com/problems/first-missing-positive/
class Solution(object):
def firstMissingPositive(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums.append(0)
n = len(nums)
for i in range(len(nums)):
if(nums[i] >= len(nums) or nums[i... | true |
147a473c35689a516e9684fe007b15f08b808a61 | Python | k0syan/Kattis | /acm_contest_scoring.py | UTF-8 | 519 | 2.90625 | 3 | [] | no_license | if __name__ == "__main__":
score = 0
total = 0
tries = []
success = []
while True:
data = input()
if data == "-1":
break
else:
data = data.split()
time = int(data[0])
task = data[1]
result = data[2]
if re... | true |
0817e64d52a95863d2c8d17c5b5c007e896fed59 | Python | Monchez32/SiatemasExpertos | /vinoejemplo/parcial1.py | UTF-8 | 827 | 3.03125 | 3 | [] | no_license | import pandas as pd
df = pd.read_csv('winequality-red.csv', sep=';')
df.head()
def clasificar(parametro1, parametro2, parametro3):
for i, n in enumerate(parametro2):
if n >= parametro1:
df.loc[i, parametro3] = 'alto'
else:
df.loc[i, parametro3] = 'bajo'
retur... | true |
14b7493c85d9d8a570a6a9d7c5f1c69a96bb0429 | Python | Leofighting/Practice-on-LeetCode | /LeetCode/数组-加一.py | UTF-8 | 832 | 3.796875 | 4 | [] | no_license | # -*- coding:utf-8 -*-
__author__ = "leo"
# 给定一个由整数组成的非空数组所表示的非负整数，在该数的基础上加一。
# 最高位数字存放在数组的首位， 数组中每个元素只存储单个数字。
# 你可以假设除了整数 0 之外，这个整数不会以零开头。
class Solution:
@staticmethod
def plus_one(digits):
for i in range(1, len(digits)+1):
if digits[-i] != 9:
digits[-i] += 1
... | true |
cd411c847b3cefec0e82271c7ae5be5358188132 | Python | joo-jj/codeStudy | /백준 9376. 탈옥.py | UTF-8 | 1,647 | 2.71875 | 3 | [] | no_license | from collections import deque
import sys
input = sys.stdin.readline
dx = [1, -1, 0, 0]
dy = [0, 0, 1, -1]
def bfs(x, y):
c = [[-1] * (w + 2) for _ in range(h + 2)]
q.append([x, y])
c[x][y] = 0
while q:
x, y = q.popleft()
for i in range(4):
nx = x + dx[i]
... | true |
b08cb077e2b8151210b475eec5a3e14841d4a0e3 | Python | clintonbf/sensor_interface | /sensors/spec_dgs.py | UTF-8 | 3,380 | 3.109375 | 3 | [] | no_license | import abc
from sensors import SensorInterface
from unit_conversion import celsius_to_kelvin
import serial
# Copyright Clinton Fernandes (clint.fernandes@gmail.com) 2021
DATA_INDICES = {
"serial_number": 0,
"measurement": 1,
"temperature": 2,
"relative_humidity": 3,
"raw_sensor": 4,
"temp_digi... | true |
af6df807fac86a0e5ebfbfd5be3ec596a85a35ad | Python | tyutltf/Leecode | /801-900/832-翻转图像.py | UTF-8 | 2,091 | 3.96875 | 4 | [] | no_license | # -*- encoding: utf-8 -*-
"""
@File : 832-翻转图像.py
@Time : 2023/06/09 20:36:22
@Author : TYUT ltf
@Version : v1.0
@Contact : 18235121656@163.com
@License : (C)Copyright 2020-2030, GNU General Public License
"""
# here put the import lib
from typing import List
"""
给定一个 n x n 的二进制矩阵 image ，先 水平 翻转图像，然... | true |
2837ca2aaa80861a1fe2b9ce4ff1070c8e80ec0c | Python | sam735/CodeYard | /tabularizationFibdynProgm.py | UTF-8 | 365 | 4.03125 | 4 | [] | no_license |
lookup = []
def populate_lookup(x: int):
for i in range(0, x+1):
lookup.append(0)
def fib(x: int):
lookup[0] = 0
lookup[1] = 1
for i in range(2, x+1):
lookup[i] = lookup[i-1] + lookup[i-2]
if __name__ == '__main__':
x = int(input('Enter the number:'))
populate_lookup(x)
... | true |
09a106c4a231f2df904ff28c7566a585b9b8d748 | Python | wuyx/Machine-Learning | /MiniFlow/linear.py | UTF-8 | 1,601 | 3.078125 | 3 | [] | no_license | from node import Node
import numpy as np
class Linear(Node):
def __init__(self, inputs, weights, bias):
Node.__init__(self, [inputs, weights, bias])
def forward_propagation(self):
inputs = self.inbound_nodes[0].value
weights = self.inbound_nodes[1].value
#bias = np.sum(self.in... | true |
92a659c8494569741b2cd944eb289cb879f51ef4 | Python | uestcjackey/caffe | /examples/matrix_multiplication/py_data_layer.py | UTF-8 | 741 | 2.765625 | 3 | [
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause",
"BSD-3-Clause",
"LicenseRef-scancode-public-domain"
] | permissive | import caffe
import numpy as np
class LineDataLayer(caffe.Layer):
def setup(self, bottom, top):
self.batch_size = 10;
top[0].reshape(self.batch_size, 2, 1)
top[1].reshape(self.batch_size)
self.W = np.array([2,5], dtype=np.float32)
self.b = -7.0
print("W=\n"+... | true |
4ce3de898d29f0a825a2705818ea8f822329a7a3 | Python | viper-dev/examples | /ICU_Capture_IR_Packets/main.py | UTF-8 | 1,292 | 2.859375 | 3 | [] | no_license | ################################################################################
# ICU Capture IR Packets
#
# Created by VIPER Team 2015 CC
# Authors: L. Rizzello, G. Baldi, D. Mazzei
################################################################################
import icu
import streams
import pwm
streams.serial... | true |
98fc6298c2234b95636d9a69f5457fbc0b3b7d05 | Python | Kruto-n/python-012021 | /7/program35.py | UTF-8 | 362 | 2.859375 | 3 | [] | no_license | import wget
import pandas
import matplotlib.pyplot as plt
#wget.download("https://raw.githubusercontent.com/pesikj/python-012021/master/zadani/5/temperature.csv")
temperature = pandas.read_csv('temperature.csv')
cities = temperature[temperature["City"].isin(["Miami Beach", "Helsinki", "Tokyo"])]
cities.boxplot(column... | true |
49a4ff4ea6e18f02f8d088c09cc43dcb02071d53 | Python | roshak7/d2_home_fpw | /db_actions.py | UTF-8 | 6,796 | 2.734375 | 3 | [] | no_license | from django.contrib.auth.models import User
from news.models import Author, Category, Post, PostCategory, Comment
def init():
print(f'DB initialization started...')
print(f' Очистка объектов...')
PostCategory.objects.all().delete()
print(f' PostCategories = {PostCategory.objects.count()}')
Cate... | true |
12dee9eb8074c8d801d2fb535f800831db8e4cbb | Python | krissrex/Icon-Tools | /icon converting/androidify_icons.py | UTF-8 | 2,038 | 3.015625 | 3 | [
"MIT"
] | permissive | import os, shutil
drawable_folder = 'drawable'
def list_files():
files = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('.png')]
print(files)
return files
def find_out():
out_folder = 'out'
counter = 0;
while os.path.exists(out_folder + (str(counter) if counter != 0 else ''))... | true |
d65c4e7e5194d084f76d3605b54817ca4b6bdf77 | Python | s-christian/Schoolwork | /Data Structure and Algorithm Analysis/Programming Assessments/Assessment 3/dijkstra.py | UTF-8 | 830 | 3.4375 | 3 | [] | no_license | # These would be placed within the Graph class
# In this case, 1000 represents the max distance, or our "infinity"
def dijkstra(self, src):
distances = [1000] * self.size
distances[src] = 0
shortestPathTree = [False] * self.size
for cout in range(self.size):
u = self.minDistance(distances, shor... | true |
73d71eb8835a95e4ce50c4eb4e53abbf1cb39328 | Python | hong-brother/hdf | /reader/hdfReader.py | UTF-8 | 540 | 2.859375 | 3 | [] | no_license | import os
import h5py
#HDF5 File Dirdory
sep = os.sep
s111_Point = os.getcwd() +sep+'..'+ sep +"resource" + sep+"s111" + sep + "111_area.h5"
print("path ="+s111_Point)
##파일 체크
isFileCheck = os.path.exists(s111_Point)
if isFileCheck :
print("is File")
f = h5py.File(s111_Point, 'r')
#1. read Group
g1 =... | true |
1b86d5f6fb61b5c1db839e5cbf1ba4198655f8e5 | Python | Iammillo/English-Sentence-Boundary-Detection | /main.py | UTF-8 | 1,503 | 3.328125 | 3 | [] | no_license | """import nltk: natural language toolkit library"""
import nltk
from nltk.tokenize import word_tokenize,sent_tokenize
"""This function return string with chunk named 'CLAUSE' after the sentence is chunked"""
def extract_string(psent):
for subtree in psent.subtrees():
if subtree.label() == 'CLAUSE':
yield '... | true |
6a525ea9d87440b8a7d618cc737b4b14df02609a | Python | tyhtm3/Photory-AI | /flask_server/image_captioning/image_caption.py | UTF-8 | 7,449 | 2.71875 | 3 | [] | no_license | import pickle
import tensorflow as tf
import numpy as np
class BahdanauAttention(tf.keras.Model):
def __init__(self, units):
super(BahdanauAttention, self).__init__()
self.W1 = tf.keras.layers.Dense(units)
self.W2 = tf.keras.layers.Dense(units)
self.V = tf.keras.layers.Dense(1)
... | true |
b706ac55f014e5bf7a7f2bec2d66fe13595c4965 | Python | axd8911/Leetcode | /mianshi_prep/AMZ_VO_prep/1167_Minimum_Cost_to_Connect_Sticks.py | UTF-8 | 355 | 3.03125 | 3 | [] | no_license | class Solution:
def connectSticks(self, sticks: List[int]) -> int:
heapq.heapify(sticks)
total = 0
while len(sticks)>1:
n1 = heapq.heappop(sticks)
n2 = heapq.heappop(sticks)
curr = n1 + n2
total += curr
heapq.heappush(sticks,curr)
... | true |
661cda915111f08c9fdc9fc110edeaae50a12ae8 | Python | kmgowda/kmg-leetcode-python | /word-break/word-break.py | UTF-8 | 2,360 | 3.25 | 3 | [
"Apache-2.0"
] | permissive | // https://leetcode.com/problems/word-break
import functools
class Trie:
def __init__(self):
self.nxt = collections.defaultdict(Trie)
self.isword = False
class Solution(object):
def __init__(self):
self.root = Trie()
def insert(self, word):
cur = self.root... | true |
e7614a31e39f3def85fcf6d5a57fb3f8ea946106 | Python | Moremar/py-library-tuto | /unittest/test_calc.py | UTF-8 | 1,930 | 3.09375 | 3 | [
"Unlicense"
] | permissive | import unittest
from unittest.mock import patch
from calc import add, divide, Calculator
class TestCalc(unittest.TestCase):
@classmethod
def setUpClass(cls):
print('Called once before starting to run the tests')
@classmethod
def tearDownClass(cls):
print('Called once after finishing... | true |
4831b35519f569485c4e25dcc9d27f8d875b56da | Python | Ras-Kwesi/highnews | /app/models.py | UTF-8 | 1,072 | 2.734375 | 3 | [
"MIT"
] | permissive | class Articles:
'''
definition of the news class properties
'''
def __init__(self,title,author,description,url,urlToImage,publishedAt):
self.title = title
self.author = author
self.description = description
self.url = url
self.urlToImage = urlToImage # The link t... | true |
5e627199881a2b8911a4502608b6de4ca7145edb | Python | danielrive/techinsiders2020_python | /infrastructure/aws_components/networking/aws_vpc.py | UTF-8 | 6,580 | 2.8125 | 3 | [] | no_license | import pulumi
import pulumi_aws as aws
import ipaddress as ip
class vpc:
'''
A class used to represent an AWS Networking resources
Methods
-------
create_basic_networking()
Creates a
'''
def __init__(self, name, net_address, cidr_public, cidr_private, azs, provider):
'''
... | true |
0afe37ccb6b439687b6748f330d72e7a68ce6c3f | Python | saritabhateja/tensorflow_learning | /m3-LogisticRegression.py | UTF-8 | 2,662 | 2.828125 | 3 | [] | no_license | import pandas as pd
import numpy as np
import statsmodels.api as sm
from returns_data_logistic_regression import read_goog_sp500_logistic_data
xData, yData = read_goog_sp500_logistic_data()
logit = sm.Logit(yData, xData)
result = logit.fit()
predictions = (result.predict(xData) > 0.5)
num_accurate_... | true |
cc26d261a78d5a7f5cbff67cba972d95003181d1 | Python | larok00/MetaGo | /MetaGo_website/read_registry.py | UTF-8 | 1,084 | 2.859375 | 3 | [] | no_license | import django
import json
import os
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "MetaGo_website.settings")
django.setup()
from MetaGo.models import Employee
def barcode_to_product_dict(barcode=None):
f = open("food_registry.txt", 'r')
file_str = f.read()
file_json = json.loads(file_str)
f.close()... | true |
90d70b3dd8d16e89f6c65db6ae6156717e7b9391 | Python | JohnnySunkel/BlueSky | /Time Series/multi_headed_multivariate_mlp.py | UTF-8 | 2,063 | 3.453125 | 3 | [] | no_license | # Multi-headed multivariate MLP
from numpy import array, hstack
from keras.models import Model
from keras.layers import Input, Dense
from keras.layers.merge import concatenate
# Split a multivariate time series into samples
def split_sequences(sequences, n_steps):
X, y = list(), list()
for i in range(len(seque... | true |
fdbc9f921905c0a62691f7c20935d8b8bbd9c1ba | Python | andersonlemos/PythonForZombies | /Task List/exercise7.py | UTF-8 | 550 | 4 | 4 | [] | no_license | # coding: utf-8
primeiro = int(raw_input('Primeiro : '))
segundo = int(raw_input('Segundo : '))
terceiro = int(raw_input('Terceiro : '))
if segundo < primeiro > terceiro:
print ('Primeiro maior %d ' % primeiro)
elif primeiro < segundo > terceiro:
print ('Segundo maior %d ' % segundo)
else:
print('Terceiro... | true |
500b12e0c23afdfd38374ea81ec04a8d24ac7281 | Python | johnnyUCSF/scEasyMode | /scEasyMode/sceasy.py | UTF-8 | 25,696 | 2.6875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
import pandas as pd
import numpy as np
import seaborn as sns
import scanpy as sc
from datetime import datetime
from scipy import stats
import matplotlib.pyplot as plt
from scipy.stats.mstats import gmean
def read_species(human=True):
""" Returns either the human or mouse anndata object
... | true |
31592019740604c6e9dafe4a0833b117aad65675 | Python | winmanuel/AUTOMATIC-ANALYSIS-OF-BUILDING-FOOTPRINTS-WITH-VERY-HIGH-RESOLUTION-SATELLITE-IMAGERY | /arrays.py | UTF-8 | 2,934 | 2.9375 | 3 | [] | no_license | """ Bottom-up microsimulation of object-detection
Authors: Godwin Emmanuel
No rights reserved """
import numpy
from sklearn.cluster import KMeans
import gdal
import numpy as np
import matplotlib.pyplot as plt
import os
# from sklearn.metrics import silhouette_score
workspace_path = os.path.dirname(__file__)
# raste... | true |
a00637def4e12f22bad6c15e0d0cb09c3207d831 | Python | alexdelorenzo/tiler | /gen_tiles.py | UTF-8 | 3,518 | 2.703125 | 3 | [
"MIT"
] | permissive | from concurrent.futures import ThreadPoolExecutor
from itertools import product
from pathlib import Path
from typing import Tuple, List
import cv2
import numpy as np
import os
import sys
from tqdm import tqdm
import math
import conf
import multiprocessing
import click
# DEPTH = 4 -> 4 * 4 * 4 = 64 colors
DEPTH = con... | true |
f9b0023bcf4a69ac1a9db9890f04372b2d1993a5 | Python | john-m-hanlon/Python | /Sentdex Tutorials/Python Programming for Finance [Sentdex]/11 - Mapping Target Function.py | UTF-8 | 7,922 | 2.890625 | 3 | [] | no_license | """ This file contains code for use with "Python Programming for Finance" by
Sentdex, available from https://www.youtube.com/user/sentdex/
Transcribed by: John Hanlon
Twitter: @hanlon_johnm
LinkedIn: http://bit.ly/2fcxlEw
Github: bit.ly/2fSDp4J
"""
import bs4 as bs
import datetime as dt
import os
import pandas as pd
... | true |
afe72af7229e686395c2f8a6f43b7a90799b56c8 | Python | ralvarezmar/ST | /Practica02/procesa_coches.py | UTF-8 | 835 | 3.046875 | 3 | [] | no_license | #!/usr/bin/python -tt
# -*- coding: utf-8 -*-
import sys
import os
import string
from os import listdir
def imprimir(fichero):
lista=[]
a=0
for linea in fichero:
linea=linea.replace("\n","")
if "/coches" in linea:
print "Marca\t", "Modelo\t", "Matricula"
print "--------------------------"
elif "Ma... | true |
c0e7c0290b4ee238b2f6e5f39a18bb91b1605119 | Python | thaybaldao/ct-213 | /Lab 2/thayna.baldao_lab2/path_planner.py | UTF-8 | 7,470 | 3.859375 | 4 | [] | no_license | from grid import Node, NodeGrid
from math import inf
import heapq
class PathPlanner(object):
"""
Represents a path planner, which may use Dijkstra, Greedy Search or A* to plan a path.
"""
def __init__(self, cost_map):
"""
Creates a new path planner for a given cost map.
:param... | true |
ef2989a53d1240034a7194a19c163e89b6f64584 | Python | rosepark222/messi_vs_ronaldo | /keras_rnn_many_to_one_X_train.py | UTF-8 | 6,340 | 3.09375 | 3 | [] | no_license | # https://keras.io/getting-started/sequential-model-guide/#examples
# check this out
# check this out for shaping input and outputs# check this out for shaping input and outputs# check this out for shaping input and outputs# check this out for shaping input and outputs
# check this out for shaping input and ou... | true |
00404f6f411c4bd4384483dcbae530823b1abc56 | Python | matthewtessler/python-web-scraper | /scraper.py | UTF-8 | 3,536 | 3.265625 | 3 | [] | no_license | from lxml import html
import requests
# initial messages detailing instructions
print("Welcome to Python Web Scraper!")
print("Enter a valid url to find the most frequent words on its page.")
print("Enter 'q' to quit the application.")
raise_errors = input("Do you want errors raised? Enter 'Y' or 'N': ")
while raise_e... | true |