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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
a9b4c9bd4e37b6f8a03a70af469dddd34368f4b0 | Python | pascalmi/chalearn_first_impression | /pre-processing/extract_faces_from_frames.py | UTF-8 | 3,145 | 3.015625 | 3 | [
"MIT"
] | permissive | """This script iterates through a given directory containing only JPG images, runs a facial detection model on every image, and if successful, crops and stores 224px x 224px image chips around those faces in the target directory."""
import sys
import os
import random
import time
import shutil
from multiprocessing impor... | true |
01b2deecba5a476d26e641b87cee4fb4a4809d08 | Python | mansi135/CTCI | /CHAPTER2/3_delete_middle_node.py | UTF-8 | 775 | 4.03125 | 4 | [] | no_license | #Implement an algorithm to delete a node in the middle of a singly linked list,
# given only access to that node.
# We can copy the data from the next node to the node to be deleted and
# delete the next node.
from CHAPTER2.MyLinkedList import *
def delete_middle(node):
if node.next is not None:
node.... | true |
bcf21e99c772ba26bebd60a8fa8034bfdab5d122 | Python | SlicerIGT/aigt | /UltrasoundSegmentation/Archive_TensorFlow/Spine/evaluation_metrics.py | UTF-8 | 7,052 | 2.78125 | 3 | [
"BSD-3-Clause"
] | permissive | import numpy as np
import scipy.ndimage
import warnings
import tensorflow as tf
from tensorflow.keras import backend as K
# String constants to avoid spelling errors
TRUE_POSITIVE_RATE = "true_positive_rate"
RECALL = "true_positive_rate"
SENSITIVITY = "true_positive_rate"
FALSE_POSITIVE_RATE = "... | true |
40e16e667b437e41b81aae8f562cada377a10646 | Python | AkshayKumarTripathi/Algorithms-And-Data-Structures | /Day 24 (Dynamic Programming)/rod cutting.py | UTF-8 | 494 | 2.9375 | 3 | [] | no_license | rod=8
price = [5,5,7,3,11,16,16,20]
length=len(price)
table=[[-1 for _ in range(rod+1)] for _ in range(length+1) ]
def cut(i=length, rem=rod,p=0):
if table[i][rem]!=-1:
return table[i][rem]
if i==0:
return p
if rem==0:
return p
new_cut=price[i-1]
if rem-i>=0:
t... | true |
64781d5869a51b4bcb6dfb103f0b27ac8286c0de | Python | silphire/atcoder | /abc130/b.py | UTF-8 | 202 | 2.609375 | 3 | [] | no_license | n, x = map(int, input().split())
l = list(map(int, input().split()))
d = 0
for i in range(n):
if d > x:
print(i)
exit(0)
d += l[i]
if d > x:
print(n)
else:
print(n + 1)
| true |
3a8280c42abf1af23999752a076a9e5da21c808f | Python | smallfat17/FluentPython | /day04/hashable_test.py | UTF-8 | 501 | 3.390625 | 3 | [] | no_license | class Student:
def __init__(self, name, gender, lessons=None):
self.name = name
self.gender = gender
self.lessons = lessons
def __hash__(self):
return super().__hash__()
def __eq__(self, other):
return self.lessons == other.lessons
if __name__ == '__main__':
s... | true |
2f03429f28a6645bd10827083a8c77365240abee | Python | xubaochuan/mm_intern | /raw/word_trigram.py | UTF-8 | 1,334 | 3.015625 | 3 | [] | no_license | #coding=utf-8
from pypinyin import lazy_pinyin, load_single_dict, load_phrases_dict
def get_pinyin(sentence):
special_mapping = {
'b': u'bi',
}
res = lazy_pinyin(sentence, errors=lambda x:special_mapping.get(x, ''))
return res
def sentence_to_letter_trigram_hierarchic(sentence):
pinyin_lis... | true |
7a4f6d8dec5088a0aff20baf955ef6c469bd47c0 | Python | dvida/UWO-PA-Python-Course | /Lecture 2/L2_lecture.py | UTF-8 | 4,537 | 4.46875 | 4 | [
"MIT"
] | permissive | from __future__ import print_function
# While loop
# Fibonacci series
a, b = 0, 1
while b < 50:
print(b, end=',')
a, b = b, a+b
print()
# Many new concepts in the code above!
# INDENTATION - Python's way of grouping statements
# - NO BRACKETS
# - NICELY FORMATTED CODE
# - 4 SPACES
# # INFIN... | true |
5e70cb35c63f29df10f824edfec87a661c9c4cc4 | Python | filyph/blazegraph-python | /pymantic/util.py | UTF-8 | 2,070 | 3.171875 | 3 | [] | no_license | """Utility functions used throughout pymantic."""
__all__ = ['en', 'de', 'one_or_none', 'normalize_iri', 'quote_normalized_iri',]
import re
from urllib import quote
def en(value):
"""Returns an RDF literal from the en language for the given value."""
from pymantic.primitives import Literal
return Literal... | true |
65902f886cfbb8c7ddf70cb814d0bea9c8029371 | Python | gwlilabmit/Ram_Y_complex | /varna/remove_varna.py | UTF-8 | 1,028 | 2.59375 | 3 | [] | no_license | '''
Gets rid of all files in the varna directories that shouldn't be of use for the paper. I only want to keep the following:
centroid, mfe, mea, locarna if present, paired constrained, consensus without dms and rnaalifold--all with paired coloring only
'''
import os
directory = "dlta_varna"
name = directory.split(... | true |
08810c668fe109aa3b3bef44a35cdd11509a6fb6 | Python | Jenny-Jo/AI | /study/keras73_boston_dnn.py | UTF-8 | 3,238 | 3.078125 | 3 | [] | no_license | #회귀모델
import numpy as np
from sklearn.datasets import load_boston
import matplotlib.pyplot as plt
# 1. Data
# data : x 값
# target : y값
dataset = load_boston()
x = dataset.data
y = dataset.target
# DNN으로 구현
print(x.shape) # (506,13)
print(y.shape) # (506, )
from sklearn.preprocessing import Stan... | true |
1283956ffab7ba14c0a65fed2d982598a8ef0377 | Python | Gitrocha/BR-MarineTraffic | /Main/database/connectors.py | UTF-8 | 7,186 | 2.765625 | 3 | [
"MIT"
] | permissive | '''
Module functions to properly interact with Database
'''
import sqlite3
def add_data(atr, connection):
with connection:
c = connection.cursor()
c.execute("INSERT INTO tempos_atr_2019 (IDAtracacao,"
"TEsperaAtracacao,"
"TEsperaInicioOp,"
"TO... | true |
6575f507bb7327cce408c2be0a26d4326c8e614d | Python | caramelomartins/adventofcode | /2019/2/main.py | UTF-8 | 1,029 | 3.8125 | 4 | [
"MIT"
] | permissive | def calculate_output(codes):
i = 0
while i < len(codes):
opcode = codes[i]
if opcode == 1:
bucket = codes[i+3]
codes[bucket] = codes[codes[i+1]] + codes[codes[i+2]]
i += 4
elif opcode == 2:
bucket = codes[i+3]
codes[bucket] = ... | true |
ce7d2bd2afcd2168af9dfc165c3ba600b98a6be1 | Python | mbronckers/cmsc23360 | /p2/model.py | UTF-8 | 1,630 | 2.6875 | 3 | [] | no_license | #!/usr/bin/env/python
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from joblib import dump, load
from sklearn.ensemble import RandomForestClassifier
from sklearn import svm
from sklearn.linear_model import LogisticRegression
# Community data import (make sure to have path with access to pars... | true |
62cbd7f222b2486dbbe27dcc63019f9f825f41df | Python | francocurotto/YDDM-re-old | /source/game_logic/game_states/dimension_state.py | UTF-8 | 4,560 | 2.9375 | 3 | [] | no_license | import settings
from duel_substate import DuelSubstate
from dice_nets.dice_net import create_net
from dice_nets.pos import Pos
from dungeon_tile import DungeonTile
class DimensionState(DuelSubstate):
"""
State when player choose where to dimension the dice
after a roll.
"""
def __init__(self, duel,... | true |
5bf14343e3c0ceb3652d84871ae9fb8fff460955 | Python | aKryuchkova/programming_practice | /week03/exercise12.py | UTF-8 | 302 | 3.34375 | 3 | [] | no_license | '''
Нарисуйте пружину. Используйте функцию, рисующую дугу.
'''
import turtle as tu
tu.shape('turtle')
n = 10
tu.penup()
tu.goto(-200,0)
tu.pendown()
while n >= 0:
tu.right(90)
tu.circle(10, -180)
tu.circle(3, -180)
tu.right(-90)
n -= 1 | true |
b8d709295a07da95998b73645b7efcf5ec3c33d0 | Python | samkorn/python-ev3dev | /ev3_demo.py | UTF-8 | 1,057 | 3.46875 | 3 | [] | no_license | #!/usr/bin/env python3
import sys
from ev3dev2.motor import LargeMotor, MediumMotor, MoveTank, MoveSteering
from ev3dev2.motor import OUTPUT_A, OUTPUT_B, OUTPUT_C, OUTPUT_D
from ev3dev2.sound import Sound
# initialize objects
sound = Sound()
right_motor = LargeMotor(OUTPUT_B)
left_motor = LargeMotor(OUTPUT_C)
# pri... | true |
6e682cf211af48b84777a9566f39a5dcefa04e00 | Python | wangheng1409/local_test | /baiguan1/spider_commen/cut_by_price.py | UTF-8 | 1,058 | 2.65625 | 3 | [] | no_license | # !/usr/bin/env python
# -*- coding:utf-8 -*-
class CutByPrice:
async def handle(self,response,split_str,cf,deal_core,next_url,*args,**kwargs):
'''
:param response: a html or a json
:param split_str: cutting mark
:param cf: the result of the cutting
:param deal_cor... | true |
ac3146187b02fbfeb053d187e824783fbf367cef | Python | rafael2ll/Topicos-em-IA | /Atividade6/rafael/domain/dist_calc.py | UTF-8 | 490 | 3.0625 | 3 | [] | no_license | from domain.distance import Distance, EuclideanDistance, ManhattanDistance
from domain.models import VanillaDataset
def calc_dist(dataset: VanillaDataset, distance: Distance):
dists = []
for row in dataset.data:
dists.append([distance.calc_dist(row, other_row) for other_row in dataset.data])
... | true |
7e37ee47912f846a8625fd50015f3483406a15d9 | Python | yannistannier/twitter-sentiment-analysis | /spark-aws-emr/twitter_nohashtag.py | UTF-8 | 4,854 | 2.640625 | 3 | [] | no_license | import os
import sys
import re
import datetime
import json
import requests
from emoji.unicode_codes import UNICODE_EMOJI
from pyspark import SparkContext
from pyspark.sql import SparkSession
from textblob import TextBlob
from sklearn.externals import joblib
class Tweet:
def __init__(self):
url = "https://... | true |
486c1db7ab0a56b1f59a8e032075395aefb50b73 | Python | aysegulkrms/SummerPythonCourse | /Week4/04_OOP_4.py | UTF-8 | 662 | 4.4375 | 4 | [] | no_license | class Dog:
# Class Attribute
species = "mammal"
# Initializer / Instance Attributes
def __init__(self, name, age):
self.name = name
self.age = age
# Method
def speak(self, sound):
print("{} says {}".format(self.name, sound))
# Create an information function that pr... | true |
db8e7469bb6121eec8cc25a4630a3089d10a60a3 | Python | CunningLogic/android-work | /bf_password/bf_password.py | UTF-8 | 6,289 | 2.890625 | 3 | [] | no_license | import hashlib, struct, sqlite3, binascii, sys, os
import itertools
from string import ascii_letters
# Interesting files in AOSP:
# mydroid/libcore/luni/src/main/java/java/lang/Long.java
# mydroid/frameworks/base/core/java/com/android/internal/widget/LockPatternUtils.java
#
# Interesting files on-device:
# /data/data... | true |
8df0b00ccf6afa80391acbb2e1541b63a87dff74 | Python | DrewOrtego/Miscellaneous-Python | /Text-Based-Game-Engine/saveLoad/loadGame.py | UTF-8 | 1,773 | 3.546875 | 4 | [] | no_license | ''' loadGame.py
Provides functionality to load a game from a save file. This takes a
serialized file and copies its contents into the setup.objects dict.
This dict is utilzied by the game loop in main.py when calling
various functions in the program.
'''
import pickle, glob, os
from gameObjects impor... | true |
c6654e81f56b04daff70caff7e79fc296bdd8167 | Python | TimChild/AdventOfCode | /Day22.py | UTF-8 | 6,162 | 3.484375 | 3 | [
"Unlicense"
] | permissive | import numpy as np
import time
import copy
from typing import List, Tuple
import pandas as pd
class Player:
def __init__(self, starting_cards):
self.hand = starting_cards
def get_hands(fp):
with open(fp) as f:
raw = f.readlines()
h1start = 1
h1end = np.where(np.array(raw) == '\n')[0... | true |
5b1c7b072cd7fb18c2ed3d982ab1c90d6302f377 | Python | AndradeLaryssa/Python_Funcoes | /Prova_main.py | UTF-8 | 978 | 2.78125 | 3 | [] | no_license | import Prova_funcoes
tupla = ('A', 'B', 'C', 'D', 'E', 'a', 'b', 'c', 'd', 'e')
listaGabarito = []
listaRespostas_alunos = []
listaNotas = []
listaNomes = []
listaMatriculas = []
contador = 0
cont = 0
contad = 0
maiores_notas = 0
#cadastrar gabarito do professor
funcoes.cadastrarGabaritoprofessor(contador, tupla, lis... | true |
fbc104969f749d244f625bddf938515b905f55ff | Python | punkdit/bruhat | /bruhat/extern/homology.py | UTF-8 | 4,073 | 2.8125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
"""
from:
https://github.com/j2kun/computing-homology/blob/master/homology.py
https://jeremykun.com/2013/04/10/computing-homology/
"""
import numpy
import numpy.linalg
def rowSwap(A, i, j):
temp = numpy.copy(A[i, :])
A[i, :] = A[j, :]
A[j, :] = temp
def colSwap(A, i, j):
temp = num... | true |
617fc06b763769963587c76caa764b5bd71ee04a | Python | MatthewTsan/Leetcode | /python/q138/q138.py | UTF-8 | 761 | 3.28125 | 3 | [
"Apache-2.0"
] | permissive | # Definition for a Node.
class Node:
def __init__(self, x: int, next: 'Node' = None, random: 'Node' = None):
self.val = int(x)
self.next = next
self.random = random
class Solution:
def copyRandomList(self, head: 'Node') -> 'Node':
dictP = {}
newHead = Node(0)
p_o... | true |
939fbcd29c28eef55fef4be03560c9f8f7a9134b | Python | zopefoundation/zope.container | /src/zope/container/btree.py | UTF-8 | 3,364 | 2.609375 | 3 | [
"ZPL-2.1"
] | permissive | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | true |
5984840c2a9b390907d862cdd5e985fea2d36d84 | Python | naka-tomo/HSMM-word-segmentation | /HSMMWordSegm.py | UTF-8 | 9,285 | 2.6875 | 3 | [] | no_license | # encoding: utf8
from __future__ import unicode_literals, print_function
import numpy
import random
import math
import time
import codecs
import os
class HSMMWordSegm():
MAX_LEN = 8
AVE_LEN = 2
def __init__(self, nclass):
self.num_class = nclass
self.word_class = {}
self.segm_sent... | true |
c47193606b32715470581ea839a77755de9e05a9 | Python | jolatechno/cli-utils | /cmds/3dPrinting/scale | UTF-8 | 2,242 | 2.515625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
License = '''MIT License
Copyright (c) 2020 joseph touzet
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the \"Software\"), to deal
in the Software without restriction, including without limitation the rights
to... | true |
c48b43acc15cdc15aa1f8ff181d7275c42d718ee | Python | NSCO/NSCO | /Python/datos/test.py | UTF-8 | 863 | 3.21875 | 3 | [] | no_license | import pandas as pd;
import matplotlib.pyplot as plt
import numpy as np
file_path = 'C:/Users/geraq/Documents/Python/NSCO/datos/avgpm25.csv';
datos = pd.read_csv(file_path);
datos["pm25"][0:3];
datos["pm25"].describe();
datos.boxplot("pm25");
(fig, axes) = plt.subplots(nrows=2, ncols=2, figsize=(6,6));
axes[0, 0].box... | true |
9862e77dddcc6b215bfb4eec537ccdf2e1bc2655 | Python | woodenCaliper/msLib | /msQuat.py | UTF-8 | 1,505 | 3.109375 | 3 | [] | no_license | #!/usr/bin/env python
#coding: utf-8
#[x,y,z,w]
from tf import transformations
def makeQuat2(axis, theta):
qN = transformations.quaternion_about_axis(theta, axis) #return type=numpy.array
return qN.tolist()
def product2(leftQuat, rightQuat):
qN = transformations.quaternion_multiply(leftQuat, rightQuat)
return qN... | true |
765dc790281eed7dd7f0c8347e7d06dcf7d2a4de | Python | mrshaikh4u/Problem-solving | /LeetCodeGeneral/left_most_val.py | UTF-8 | 822 | 3.203125 | 3 | [] | no_license | from collections import deque
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def findBottomLeftValue(self, root: TreeNode) -> []:
queue = deque()
queue.append(root)
output = []
... | true |
d06c75c118fd24a696041fe537ca04d2100843f1 | Python | FranciscoFerreiraff/maratona_python_SJ | /aritmetica.py | UTF-8 | 669 | 3.078125 | 3 | [] | no_license | x = int(input())
simb = input()
y = int(input())
simb2 = input()
z = int(input())
ops = {"+": (lambda x,y: x+y), "-": (lambda x,y: x-y), "*": (lambda x,y: x*y), "/": (lambda x,y: (x//y))}
try:
if (simb == "+" or simb== "-") and (not simb2=="*" and not simb2=="/"):
a = ops[simb](x,y)
b = ops[simb2](a... | true |
fcd9ff740ad4938633ad4015259860f3831993a9 | Python | WhiteDevilBan/CommentCrawler | /site/mybzz/util/DbUtil.py | UTF-8 | 827 | 2.953125 | 3 | [] | no_license | import pymysql
"""
数据库工具包
"""
def getConn():
"""
获取数据库连接和游标
:return:
"""
conn = pymysql.connect(host="localhost", user="root", passwd="banban123", db="comment", port=3306, charset="utf8")
cur = conn.cursor()
return (conn,cur)
def getAllResult(statement):
"""
获取所有结果
:param state... | true |
e190198f7987e0449fa098f6a65eb76458777362 | Python | knmcdaniel/Programming-Projects-Completed | /Coding Dojo/Python/exam_project/quotable_quotes_app/models.py | UTF-8 | 2,635 | 2.65625 | 3 | [] | no_license | from django.db import models
import bcrypt, re
# Create your models here.
class UserManager(models.Manager):
def registration_validator(self, postData):
errors = {}
password = postData['password']
confirm_password = postData['confirm_password']
if password != confirm_password:
... | true |
748ae8063516467a34fea5813b16c88d56bb2cfa | Python | choidslab/IntroducingPython | /ch8/binaryfile_read.py | UTF-8 | 112 | 2.828125 | 3 | [] | no_license | readfile = open('bfile', 'rb') # rb 모드로 열기
bdata = readfile.read()
print(len(bdata))
readfile.close()
| true |
fc2c5cd85dfe4f18fb851f42897ae3b44803185b | Python | loranne/hb-js-trials-1 | /trials.py | UTF-8 | 2,261 | 4.09375 | 4 | [] | no_license | """Python functions for JavaScript Trials 1."""
def output_all_items(items):
for item in items:
print(item)
list_of_items = [1, 'hello', True]
output_all_items(list_of_items)
def get_all_evens(nums):
even_nums = []
for num in nums:
if num % 2 == 0:
even_nums.append(num)
... | true |
41cddd4aff08ed297132442a72f081d0ce593678 | Python | Raarbiarsan1899/LeetCode | /MaximumErasureValue.py | UTF-8 | 573 | 3.03125 | 3 | [] | no_license | class Solution:
def maximumUniqueSubarray(self, nums: List[int]) -> int:
max_score = 0
seen_dict = {}
start = 0
subtotal = 0
for i, k in enumerate(nums):
if k in seen_dict and seen_dict[k] >= start:
for j in range(start, seen_dict[k] + 1):... | true |
0d3962f068ccb8c81d21661684949e0a6b7d0392 | Python | pharalambiev/SoftUni_Python_Basics_week1_lab | /03_Deposit_Calculator.py | UTF-8 | 185 | 3.359375 | 3 | [] | no_license | amount = float(input())
term = int(input())
annual_interest = float(input())
deposit = (amount*annual_interest)/100
deposit = deposit/12
deposit = (term*deposit)+amount
print (deposit) | true |
96d924dd5c85f4370be1ca924720a74a8ea3eb0d | Python | KimPopsong/Algorithm_Class | /String/BruteForce.py | UTF-8 | 530 | 3.515625 | 4 | [] | no_license | def BruteForce(p, t, k):
M = len(p)
N = len(t)
i = k
j = 0
while j < M and i < N:
if t[i] != p[j]:
i -= j
j = -1
i += 1
j += 1
if j == M:
return i - M
else:
return i
text = 'asdbafsdfqweefsdfasdfadfasdfas'
pattern = 'qweef... | true |
09cce8287a4009266ae2ffdc373c725cffea5bed | Python | animesh/generic-expression-patterns | /pseudomonas_analysis/nbconverted/viz_expression_data.py | UTF-8 | 2,965 | 2.53125 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
# coding: utf-8
# # Visualize gene expression
#
# This notebook visualizes the trends in gene expression data for the template and simulated experiments
# In[1]:
get_ipython().run_line_magic('load_ext', 'autoreload')
get_ipython().run_line_magic('load_ext', 'rpy2.ipython')
get_ipython().run_l... | true |
a602843c88870b6d1d22184f4732c29404f101cc | Python | WSU-CASAS/AL | /ji.py | UTF-8 | 10,759 | 2.59375 | 3 | [] | no_license | #!/usr/bin/python
# python oc.py <data_file>+
#
# Performs activity learning on the given data files and outputs either the
# learned model, or the confusion matrices and accuracy for a 3-fold
# cross-validation test. Each activity is learned by a separate
# one-class classifier.
# Written by Diane J. Cook, Washingto... | true |
50e37e976f15552597a5669e7cacf06988bfd8c3 | Python | abacccc/NetworkingTopDownAnswer | /SMTPMailClient/SMTPMailClient.py | UTF-8 | 1,590 | 2.9375 | 3 | [] | no_license | from socket import *
msg = '\r\n I love computer networks!'
endmsg = '\r\n.\r\n'
# Choose a mail server (e.g. Google mail server) and call it mailserver
mailServer = '*****************'
port = 25
# Create socket called clientSocket and establish a TCP connection with mailserver
#Fill in start
clientSocket = socket(AF_I... | true |
b9124ad7aa20a2a72a523d5c4b1085f9d1db52a4 | Python | keachico/CS303E_and_CS313E | /CS 313E/Practice Programs/Turtle Programs/Simple_Circle.py | UTF-8 | 550 | 3.953125 | 4 | [] | no_license | import math
class Circle:
"""Define a class of circles. Circles have an associated radius."""
_circlesCount = 0
def printCount():
print("Created " + str( Circle._circlesCount ) + " circles.")
def __init__(self, radius):
self._radius = radius
Circle._circlesCount += 1
... | true |
87506716dae7761c1526c6a5ccbe8875f4a3f34d | Python | dagorham/reddit_recommender | /src/userinfo.py | UTF-8 | 6,808 | 2.890625 | 3 | [] | no_license | from collections import Counter
import praw
import numpy as np
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.feature_extraction.text import TfidfVectorizer
from build_reddit import Reddit, Subreddit
from wordcloud import WordCloud
__name__ = 'userinfo'
class Redditor:
def __init__(se... | true |
db4e54a6512389fb33169f3254d1541cc7b72570 | Python | pragatirahul123/java_questions | /function_question/More_Exercise/more_exercise1.py | UTF-8 | 163 | 3.1875 | 3 | [] | no_license | i=1
while i<=1000:
if i%21==0:
print"navgurukul",i
print "nav",i
elif i%7==0:
print"gurukul",i
elif i%3==0:
print "nav",i
i=i+1
| true |
6b888a869da6b393de956b9db0aa29ef68d4e1fa | Python | 404duan/BlockChain | /main_Coin.py | UTF-8 | 5,505 | 3.25 | 3 | [] | no_license | from hashlib import sha256
from pprint import pprint
import time
class Block(object):
"""
data -> array of object
之前区块的哈希值
自己的哈希值：由存储在区块里的信息算出来的（data + 之前区块的哈希值）
"""
def __init__(self, transactions, previousHash):
"""
初始化
"""
self.transactions = transactions
... | true |
0b60ef46aa355fe01d591ab1685af75c0fdf3d89 | Python | jrd261/globe | /globe.py | UTF-8 | 1,629 | 3.28125 | 3 | [
"MIT"
] | permissive | """ Globe """
import math
import random
_RADIUS = 6371000
def distance(lat1, lon1, lat2, lon2):
lat1, lon1 = latlon2sc(lat1, lon1)
lat2, lon2 = latlon2sc(lat2, lon2)
dlon = lon2 - lon1
c_lat1 = math.cos(lat1)
c_lat2 = math.cos(lat2)
s_lat1 = math.sin(lat1)
s_lat2 = math.sin(lat2)
s_... | true |
c0891245498516177c7370656d954192bcf5e9e3 | Python | RaphaelJ/Navistree | /scripts/template.py | UTF-8 | 1,217 | 2.640625 | 3 | [] | no_license | #!/usr/bin/python
#-*- coding: Utf-8 -*-
import navistree
TEMPLATES_DIR = navistree.SCRIPTS_HOME + "/templates/{template}.tpl"
_templates_cache = {} # Cache le contenu des templates ouverts
class Template:
def __init__(self, tpl):
self.path = TEMPLATES_DIR.format(template=tpl)
self._dic = {}
... | true |
81f4be4deb48225e8558e342670a94c89b87502a | Python | soumodeeptocode/DSA-playground | /src/python/hackerrank/easy/diagonal_diffrence.py | UTF-8 | 659 | 3.390625 | 3 | [] | no_license |
w, h = 3, 3
Matrix = [[0 for x in range(w)] for y in range(h)]
Matrix[0][0] = 1
Matrix[0][1] = 8
Matrix[0][2] = 6
Matrix[1][0] = 2
Matrix[1][1] = 9
Matrix[1][2] = 3
Matrix[2][0] = 5
Matrix[2][1] = 12
Matrix[2][2] = 45
def diagonalDifference(demoArr):
lToR1 = lToR2 = lToRCounter = rToLCounter = 0
rToL1 = 0
... | true |
99b29da58a54216ca6fab66c053a8bf6290a1753 | Python | Shovon588/Programming | /Codeforces with Python/1058A - In Search of an Easy Problem.py | UTF-8 | 91 | 2.96875 | 3 | [] | no_license | n=int(input())
a=list(map(int,input().split()))
if 1 in a:print('HARD')
else:print('EASY')
| true |
49df848e4a202dc591b03f204426a0e8021a2bae | Python | DongZhaoXiong/Text-to-Cloth-GAN | /data_loader.py | UTF-8 | 1,914 | 2.703125 | 3 | [] | no_license | import os
from os.path import join
import argparse
import skipthoughts
import h5py
# use Fashion-166 dataset
def save_caption_vectors_cloth(data_dir):
import time
img_dir = join(data_dir, 'cloth/jpg')
image_files = [f for f in os.listdir(img_dir) if 'jpg' in f]
image_captions = {img_file: [] for img... | true |
f60d4488397aca03fc5fdefe8706ca2f3e33cee3 | Python | dayitachaudhuri/Basic_Python_Problems | /27_tuplesubset.py | UTF-8 | 121 | 2.859375 | 3 | [] | no_license | a=eval(input("Enter tuple 1:"))
b=eval(input("Enter tuple 2:"))
if set(b).issubset(a):
print("TRUE")
| true |
1391697590249e5e4a6fe56f4a57baa064f825a1 | Python | bakunobu/exercise | /1400_basic_tasks/chap_7/7_172.py | UTF-8 | 603 | 3.484375 | 3 | [] | no_license | from main_funcs import get_input
def first_second_place(n:int=22) -> tuple:
first_place = False
second_place = False
for i in range(n):
t = get_input('Введите время спортсмена: ')
if not first_place:
first_place = t
elif not second_place:
second_pla... | true |
73415f90802f1d619d2f7734178c0489b5aae6bc | Python | jinci94/Kattis | /code/driversdilemma.py | UTF-8 | 815 | 3.375 | 3 | [] | no_license | # Capacity [gallons], fuel loss [gallons per hour], distance [miles]:
C, X, M = [float(x) for x in input().split()]
# {speed [miles per hour]: fuel efficiency [miles per gallon]} = {A: B, ...}
speed_fuel = {int(speed):float(fuel) for speed, fuel in [input().split() for i in range(6)]}
# hours to get there: M/A
#... | true |
131f3a4bbef6b049a6df19087b1a7d4a1196fd08 | Python | Eunah-Kim/keras | /01삼성전자DNN.py | UTF-8 | 2,192 | 3.0625 | 3 | [] | no_license | import pandas as pd
# from pandas import to_numeric
import numpy as np
from numpy import array
samsung = pd.read_csv('samsung.csv', encoding='euc-kr')
for column in samsung.columns[1:]:
samsung[column] = samsung[column].map(lambda x: int(x.replace(',', '')))
samsung = samsung.sort_index(ascending=False)
samsung ... | true |
860da65bc51e9ae33c6e19c2cb96ba290d637404 | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_116/542.py | UTF-8 | 2,447 | 3.53125 | 4 | [] | no_license |
from copy import deepcopy
def isWon(board): #board is 0s and 1s
#check rows
for row in board:
if sum(row)==4:
return True
#check cols
for colindex in range(len(board[0])):
num = 0
for rowindex in range(len(board)):
num+=board[rowindex][colindex... | true |
9f400919311af91b39d69422d5d39872568f746c | Python | klmsathish/DataStructures | /Finding(Search)SLL.py | UTF-8 | 1,110 | 3.953125 | 4 | [] | no_license | class node:
def __init__(self,data):
self.data=data
self.next=None
class Linkedlist:
def __init__(self):
self.head=None
self.last_node=None
def append(self,data):
if self.head is None:
self.head=node(data)
self.last_node=self.head
... | true |
977c5a96d1000a8a2ea5e7017dea5a2e80ef3549 | Python | rwleander/cpxGames | /ch07/skeet/code.py | UTF-8 | 2,309 | 3.0625 | 3 | [
"MIT"
] | permissive | # Python code for Ten Games for the Circuit Playground Express
# by Rick Leander
# Copyright (c) 2020 Rick Leander All rights reserved
# Buy the book at https://www.amazon.com/author/rleander
#
# Skeet Playground
from adafruit_circuitplayground import cp
import random
import time
#constants
pixels... | true |
c7a3a0e84729dfb9890da37cff3831960b25ff6d | Python | willwillhi1/python_practice | /data_type_practice.py | UTF-8 | 1,050 | 3.625 | 4 | [] | no_license | #list
ls1 = []
ls2 = []
ls1.append(element)
ls1.extend(ls2)
ls1.insert(index, element)
del ls1[index]
ls1.remove(element_name)
ls1.index(element_name) #return element's index
element in ls1 #return true if in list
ls1.count(element) #return num of element
ls1.join(sep) #combine the element by sep
ls2 = sorted(ls1)
len(... | true |
2a3ddc336a8791492b8db5f6d268ad0e92335bbb | Python | zhr619151879/PunchCardSystem | /签到打卡/dataLayer.py | UTF-8 | 4,231 | 2.609375 | 3 | [] | no_license | # -*- coding:utf-8 -*-
# @Time : 2019/12/25 2:16 下午
# @Author: zhr619151879
# @Keymap: 「command+1:surround command+p:parameter ctr+o overide」
# @File : dataLayer.py
# import sqlite3
import io
import numpy as np
import zlib
import pymysql as mysql
host_ip = "47.96.157.49"
# host_ip = "localhost"
host_usr = "root"
host... | true |
d0b55f316a25a167a18ff9317438f590a0ed56df | Python | conceptfab/PM_NX_PUB | /cfab_mod_view.py | UTF-8 | 3,184 | 2.96875 | 3 | [] | no_license | '''
Moduł zawierający widoki list
'''
import logging
import os
logging.basicConfig(level=logging.DEBUG, format=' %(asctime)s - %(levelname)s - %(message)s')
# logging.disable(logging.CRITICAL)
# TODO dodać kolory
def view_projects_list(projects_dict):
'''
Krótka lista projektów
:param projects_dict:... | true |
63fe1064523ef5afea82fd5478e7d64669bf047a | Python | davidp-ro/ai-ml | /StudentRep/main.py | UTF-8 | 2,180 | 3.40625 | 3 | [
"MIT"
] | permissive | # Imports:
import pandas as pd
import numpy as np
import pickle
# sklearn:
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle
# Matplotlib:
import matplotlib.pyplot as pyplot
from matplotlib import style
# File paths:
DATA_PATH = '../Dataset/student-mat.csv'
SAVE_PATH = '../SavedModels/s... | true |
f4bbc7f40025369b06ebbed268d162ee50e9dfda | Python | queceo/Pentesting | /task.py | UTF-8 | 1,175 | 2.703125 | 3 | [] | no_license | import importlib
from threading import Thread
import subprocess
import sys
class Task:
status = ['idle',''];
name = [];
thread = 0;
#start the thread
def startScript(self):
self.thread.start();
def __init__(self, scriptname):
self.name = scriptname;
... | true |
34f3bd25aa860d4f18ce8ad00d9f26dc1990d8a1 | Python | gerald-liu/python | /simple_scripts/norm_calc.py | UTF-8 | 127 | 2.65625 | 3 | [] | no_license | #%%
from scipy.stats import norm
#%%
print('{:.4f}'.format(1-norm.cdf(1.5)))
#%%
print('{:.4f}'.format((2*norm.ppf(0.9))+12)) | true |
26912817c10a9a368b7d7edc5a0cc691ee529e7b | Python | AndyReiblein/pythonrefresh.py | /pythonrefresher.py | UTF-8 | 1,047 | 4.75 | 5 | [] | no_license | #Variables,strings, ints, and print
name = "Andrew"
age = '23'
sentence = ("Hi my name is {} and I am {} years old".format(name,age))
#If statements and comments
if int(age) > 18:
print(sentence)
else:
('You are younger than 18')
#to add comments punch the hash button
"""with multyline comments
you c... | true |
edf17e63a760fc1d73caacc1630e99b1e574e6bf | Python | AlexYangLong/Foundations-of-Python | /day008/4-callback-function.py | UTF-8 | 353 | 3.546875 | 4 | [] | no_license | '''
title: 回调函数
time: 2018.04.04 17:07
author: 杨龙（Alex）
'''
'''
回调函数: 在定义函数时,将函数名作为参数传递过来,然后再函数里边再次调用函数.
'''
def my_callback_sum(num1, num2):
print(num1 + num2)
def my_sum(num1, num2, fn):
return fn(num1, num2)
my_sum(12, 45, my_callback_sum)
| true |
4f9eb5e00d5513511fb9e1b06c4e996119a267fb | Python | Arjunnemani/kivy-camera | /main.py | UTF-8 | 1,223 | 2.75 | 3 | [] | no_license | from kivy.app import App
from kivy.uix.camera import Camera
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.button import Button
class CameraExample(App):
def build(self):
layout = BoxLayout(orientation='vertical')
# create a camera object
... | true |
afeee686eb8a4920300eee7e31a1ba9a8ca4fa0b | Python | avinabadey6/python | /string1.py | UTF-8 | 99 | 3.546875 | 4 | [] | no_license | lol=input("write a name")
# print(".".join(lol.upper()))
for a in lol:
print(a.upper(),end=".") | true |
87a5cc9a447efc16ab69945df6c51ac5c9b9da09 | Python | physics91si/gatctg-lab10 | /sets.py | UTF-8 | 1,879 | 3.96875 | 4 | [] | no_license | import math
class Set:
def __init__(self):
'''initializes the set as the empty set'''
self.list = []
def contains(self, element):
'''Checks to see if an element is within the set; returns Boolean'''
for item in self.list:
if item == element:
return Tr... | true |
7b08279725429242b4a14cc6dd73417cb5d1bc8b | Python | hu357/python | /20201003 tk13 五角星.py | UTF-8 | 724 | 3.203125 | 3 | [] | no_license | from tkinter import *
import math as m
root = Tk()
w = Canvas(root,width=200,height=100)
w.pack()
center_x=100
center_y=50
r=50
point = [
# 左上点
center_x - int(r*m.sin(2*m.pi/5)),
center_y - int(r*m.cos(2*m.pi/5)),
# 右上点
center_x + int(r*m.sin(2*m.pi/5)),
center_y - int(r*m.cos(2*m.pi/5)),
... | true |
ada6b89dd56f87de7bafbcce59bea6bef8aebda3 | Python | orez-/Hex-Tic-Tac-Toe | /ai.py | UTF-8 | 1,568 | 3.140625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
def _alphabeta(node, depth, player, a=-float('inf'), b=float('inf')):
if depth == 0 or node.gameover:
# The multiplier here is technically unnecessary, but adding it
# makes it favor moves that let it win faster or lose slower.
return node.heuristic() * (depth + 1), ... | true |
20c83e06fb58ed1340dc06922673dc711b8e9cec | Python | aadilmeymon/100-days-of-python | /100 days of python day 4/day4_2.py | UTF-8 | 222 | 3.890625 | 4 | [] | no_license | import random
names_string = input("Give me everybody's names, separated by a comma. ")
names = names_string.split(",")
rand_pick=random.randint(0,len(names)-1)
print(f"{names[rand_pick]} is going to buy the meal today! ") | true |
0b3310ae26bdd30d876a4828ad9834357e5e4f15 | Python | Transi-ent/LeetcodeSolver | /iv04.py | UTF-8 | 2,049 | 3.609375 | 4 | [] | no_license | class Solution:
"""
将二分搜索法进行拓展，拓展到二维空间
"""
def findNumberIn2DArray(self, matrix: list, target: int) -> bool:
if not matrix:
return False
m, n = len(matrix), len(matrix[0])
if m==1:
return target in matrix[0]
else:
return self.bs2D(matri... | true |
fad2bde0a0ad5eb84f4cbfe4c5ec75a7ff45dcc9 | Python | tungrg/AI-1 | /main.py | UTF-8 | 505 | 2.65625 | 3 | [] | no_license | import sys
import csv
def caua(listRow):
res=[]
for key in listRow[0].keys():
count = 0
for row in listRow:
if row[key] == '':
res.append((key,count))
count += 1
res=dict(res)
return res
if __name__ == '__main__':
input_file_name = str(sys... | true |
d96a5a1ef0cd0767d8a320ab03b13608fc3dc26a | Python | haijunsu/GroupStudy | /haijun/python/testNum.py | UTF-8 | 891 | 3.625 | 4 | [] | no_license | #!/usr/bin/env python3
import itertools
def mydiff():
"""
Show different between isdigit, isnumeric, isdecimal
Source: https://stackoverflow.com/questions/22789392/str-isdecimal-and-str-isdigit-difference-example
"""
line = "-" * 50
print(line)
print("| No. | isdigit | isdecimal | isnum... | true |
9de29f0034b67e214cf0ee5f3dba6a224f0f240b | Python | junpei-oyama/gnavi_search | /gsearch.py | UTF-8 | 749 | 2.921875 | 3 | [] | no_license | import requests
def main():
# 目標: フリーワード検索の結果上位５件における必要情報を出力する
# フォーマット 店名,URL,路線名駅名
API_KEY = ''
payload = {'keyid': API_KEY, 'freeword': 'ワイン', 'hit_per_page': 5}
# ワイン -> 店名 URL
url = 'https://api.gnavi.co.jp/RestSearchAPI/v3/'
response = requests.get(url, params=payload)
rest_li... | true |
690cfd6531d3487107752dff409aa4e7832aaa1a | Python | 924070845/TanzhouPythonVipSecondClass | /网络编程/socket_server02.py | UTF-8 | 2,106 | 3.40625 | 3 | [] | no_license | '''
我们要实现的功能是，客户端向服务端发送一个消息，
服务端可以收到，并且原封不动的返回给客户端
'''
import socket
import time
'''
1:建立连接
'''
server = socket.socket() # 创建socket
server.setblocking(False) # 设为非阻塞
server.bind(('0.0.0.0', 8001)) # 绑定IP地址
server.listen() # 创建监听
# 这里的监听还可以有参数，那是解释器版本的差异，有餐数是指最多有几个用户可以连接我。
# 不加人最大，任意数连接
# 不... | true |
0210260deab8097451d1b1d62cd8d8e415d940fa | Python | Superbelko/ocr-test | /blur.py | UTF-8 | 611 | 2.984375 | 3 | [] | no_license | import argparse
import json
import cv2 as cv
def laplacian_variance(image):
return cv.Laplacian(image, cv.CV_64F).var()
def main():
parser = argparse.ArgumentParser(description='Blur detection utility, calculates pixel variance for an image. (less variance = more blur)')
parser.add_argument('--input', ... | true |
8fca732df4a923723594a58c8b532052b9c23b5d | Python | AIPHES/vldb2018-sherlock | /ukpsummarizer-be/summarizer/utils/phrase_extractor.py | UTF-8 | 2,663 | 3.34375 | 3 | [
"Apache-2.0"
] | permissive | import nltk
def leaves(tree):
"""Finds NP (nounphrase) leaf nodes of a chunk tree."""
for subtree in tree.subtrees(filter = lambda t: t.label()=='NP'):
yield subtree.leaves()
def normalise(word, stemmer):
"""Normalises words to lowercase and stems and lemmatizes it."""
word = word.lower()
... | true |
1d02c2659d181d75b981ce728a5260995c0c035c | Python | mochammadfariz/Analisis-data-siswa | /del.py | UTF-8 | 469 | 2.625 | 3 | [] | no_license | import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle
data = pd.read_csv("student-mat.csv",sep=";")
print(data.head())
data = data[["G1","G2","G3","studytime","failures","absences"]]
predict = "G3"
x = np.array(data.drop([predict],1))
y = np.array(d... | true |
999c4e7215aa543c6cd3f9fa19ba1ab1822664ea | Python | AboudyKreidieh/traffic-autocalibration | /fcpnn/train.py | UTF-8 | 6,144 | 3.015625 | 3 | [
"MIT"
] | permissive | """
"""
from model import NN # , PNN, FCPNN
import numpy as np
import tensorflow as tf
from collections import defaultdict
import random
import os
import errno
import pandas as pd
# number of layers in the neural network model
LAYERS = [1, 2, 3, 4]
# number of nodes in each hidden layer
NODES = [64, 256]
# learning ... | true |
309aeb9e5357b2ccbdfb8dadab74ecee41ef7b65 | Python | kingbob2015/python_playground | /practice_problems/staircase.py | UTF-8 | 548 | 3.453125 | 3 | [] | no_license | def numWaysDP(n, X):
if n==0:
return 1
nums = [0] * (n+1)
nums[0] = 1
for i in range(1, n+1):
total = 0
for j in X:
if i-j >= 0:
total += nums[i-j]
nums[i] = total
return nums[n]
def numWaysRec(n, X):
if n==0:
return 1
tota... | true |
dc82561fe6a5bf515b6f12c94e8c965993819dc8 | Python | krishankansal/PythonPrograms | /oops/#021.py | UTF-8 | 511 | 3.265625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 19 08:34:53 2020
@author: krishan
"""
class Silly:
@property
def silly(self):
"This is a silly property"
print("You are getting silly")
return self._silly
@silly.setter
def silly(self, value):
... | true |
8b6804fa38e4464e4156c893443b5d4796b8bf2b | Python | hitesh2940/Python_practice | /Assignment_2/Q15_filehandling_read_and_write.py | UTF-8 | 327 | 3.96875 | 4 | [] | no_license | #Write a python code to create a text file Delta_file.txt and to write the input string from the user. Read the stored string from the file and print it in the reverse order
f=open("Delta_file.txt",'w+')
s=input("enter string")
f.write(s)
f.close()
f=open("Delta_file.txt",'r')
a=f.read()
print(a[::-1])
f.clos... | true |
c089fa34a8e1ec69578304b8d11bb770bb74159b | Python | santoshmore85/estudiando_el_kay | /figuras/PycharmKayStatisticalReport/problem_3_14.py | UTF-8 | 1,839 | 3.53125 | 4 | [
"MIT"
] | permissive | import string
letters = string.ascii_lowercase
N_max = len(letters)
N = 10
N = min(N, N_max)
# generate list of all possible words with the N first letters of the alphabet
words = []
for i in range(N):
a = letters[i]
for j in range(N):
b = letters[j]
for k in range(N):
c = letter... | true |
08a66fde710f2896ec9d4b3c462b877489b992c5 | Python | KirillIvano/pickles | /server/db_interface/item.py | UTF-8 | 825 | 2.796875 | 3 | [] | no_license | from app.models import Item, Product, ProductWeight, Order
from typing import Dict, List
def add_product_objects(
items: List[Dict[str, object]]
) -> List[Dict[str, object]]:
"""
items
in item structure add product object
"""
for i, item in enumerate(items):
items[i]['product_weigh... | true |
94261188f3cbce1323600fda5be972cf063a9b7b | Python | scottjab/supybot-cah | /cah.py | UTF-8 | 5,808 | 3.015625 | 3 | [] | no_license | from random import choice
import os
import json
import test
# Settings you change
card_folder = 'cards'
answer_cards_file_names = ['answer_cards', 'custom_anwser_cards']
question_cards_file_name = ['question_cards', 'question_cards1', 'question_cards2', 'custom_question_cards']
# Settings that are used
#this is one l... | true |
6f0e731d8b1c7c07199aaf64730cb72766329d0b | Python | yonilev/error-detection | /src/LanguageModel.py | WINDOWS-1255 | 3,842 | 2.703125 | 3 | [] | no_license | #encoding=cp1255
'''
Created on 14/02/2011
@author: levyeh
'''
from BguCorpusReader import BguCorpusReader
from Lexicon import Lexicon
from nltk.probability import FreqDist
from DetectErrors import hasEngChars, hasExtraChar, hasDigit,ligitWord
def countNChars(words,N):
if N<1:
return None
count = {}
... | true |
071001508f204595c8678d3bb06e06c5de8289ea | Python | reidliujun/Network_Application_Frameworks- | /assignement1/files/json_generate.py | UTF-8 | 236 | 2.609375 | 3 | [] | no_license | '''
use xmltodict library to export json file from xml file
'''
import io, xmltodict, json
infile = io.open("books.xml", 'r')
outfile = io.open("books.json", 'wb')
o = xmltodict.parse( infile.read() )
json.dump( o , outfile, indent=2) | true |
bf62f015e916bcd292c58c0e4ec22e37cc2b5ebe | Python | ManicEuphoria/fm | /models/backgroundM.py | UTF-8 | 707 | 2.6875 | 3 | [] | no_license | import random
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from utils import fredis
from fbase import get_session
Base = declarative_base()
class Background(Base):
__tablename__ = "background"
background_id = Column(Integer, primary_key=True, autoin... | true |
7a0a7d4b4ad5e201f9957cd3a8e27ceb59906d2d | Python | WrongAman/RSA | /Edit.py | UTF-8 | 1,174 | 2.671875 | 3 | [] | no_license | from PyQt5.QtWidgets import QTextEdit, QFileDialog
def sub():
Editor.NextId -= 1
class Editor(QTextEdit):
NextId = 1
def __init__(self, fileName=""):
super().__init__()
self.fileName = fileName
if not self.fileName:
self.fileName = "Unnamed-{0}.txt".format(
... | true |
c7ad7798b6cd7bddd2216cf67dedf04b63d74264 | Python | zhenya-paitash/diplom_project | /BOT/main.py | UTF-8 | 22,797 | 2.515625 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import telebot
from telebot import types
import random as R
import threading
token = 'thisismytoken'
bot = telebot.TeleBot(token)
# ======================================================================================================================
@bot.message_handler... | true |
fd6430c521eb0197ddbb04221dc003d629ef0798 | Python | KachanS/pt_backtest_py | /models/Ema.py | UTF-8 | 516 | 3.4375 | 3 | [] | no_license | class Ema:
def __init__(self, window: int, source: float, value: float):
self.window = window
self.source = source
self.value = value
self.__a = 2/(window + 1)
def calculate(self, source: float):
#print(f'{self.__a}*{source} + (1 - {self.__a})*{self.value} = ... | true |
a413129f003f0bf637b2883dd2090fcaf8a13add | Python | zhengzishang/MingText | /Model_Selection/regression_metrics.py | UTF-8 | 1,048 | 3.046875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
模型选择
~~~~~~~~~~~~~~~~~~~~~~~~~~
回归问题性能度量
:copyright: (c) 2016 by the huaxz1986.
:license: lgpl-3.0, see LICENSE for more details.
"""
from sklearn.metrics import mean_absolute_error, mean_squared_error
def test_mean_absolute_error():
'''
测试 mean_absolute_error... | true |
777e350205ad4f8dfbc48202b14a9681a3d7d4d2 | Python | TheTinyBit/snacs_crawling | /stats.py | UTF-8 | 6,191 | 2.90625 | 3 | [] | no_license | from save import *
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
def calculate_statistics(G, save=False, output=True, plot=False, log=True, savePlot=False, filename=None):
# Calculate links and nodes
max_node = int(max(G.nodes()))
amt_links = G.number_of_edges()
amt_nodes = ... | true |
0e5bc3ad77d817d8a61da9b1160514afc8c87e27 | Python | jeroenstalenburg/judgment-aggregation | /judgment_aggregation/data/Data.py | UTF-8 | 3,122 | 3.109375 | 3 | [
"Apache-2.0"
] | permissive | import os
import shlex
from ..JAError import JAError
def get_file_in_path(file, path, get_all=False):
"""Get a file which can be found in one of the folders in the given path.
"""
found_files = []
for root, dirs, files in os.walk(path):
if file in files:
found_files.append(os.path.... | true |
151ecbc363a125c7379ae2c4b28003cc717834fa | Python | Bossy1996/Sentiment-analysis-project | /SentimentAnalysisPipeLine/example.py | UTF-8 | 2,229 | 3.609375 | 4 | [] | no_license | # NLTK examples of usage
import nltk
from nltk.classify.decisiontree import f
from nltk.corpus.reader import lin
nltk.download([
"names",
"stopwords",
"state_union",
"twitter_samples",
"movie_reviews",
"averaged_perceptron_tagger",
"vader_lexicon",
"punkt",
])
w = nltk.corpus.shakespe... | true |
c627e00fecf7c538cf19bbe00032a3c2987a387c | Python | eronekogin/leetcode | /2019/longest_valid_parentheses.py | UTF-8 | 1,492 | 4.25 | 4 | [] | no_license | """
https://leetcode.com/problems/longest-valid-parentheses/
"""
class Solution:
def longestValidParentheses(self, s: str) -> int:
workStack = [-1] # Push -1 first to the stack to avoid boundary issue.
maxLen = 0
for i, c in enumerate(s):
if c == '(':
workStac... | true |