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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
c456f46f61d45442bdd75e29ed06440baae9e4f8 | Python | ahmedius2/RTG-Sync | /src/bandwidth/periodic/data/plotter.py | UTF-8 | 1,182 | 2.90625 | 3 | [] | no_license | import numpy as np
from matplotlib import mlab
import matplotlib.pyplot as plt
class Plotter:
def __init__ (self):
self.data = {}
self.labelFz = 'large'
self.labelFw = 'bold'
self.legendFz = 'large'
self.legendFw = 'light'
return
def plot (self, plotName, dataH... | true |
de0ec2b79dfb40372c49e10e145c683c62142250 | Python | William1998/IEEEXtreme-12.0 | /Barter-System.py | UTF-8 | 3,550 | 3.5625 | 4 | [] | no_license |
def backtracking (partialSol, starter, endgoal, checked):
try:
possible = alist[starter]
except:
possible = None
if len(partialSol) != 0:
if partialSol[len(partialSol)-1][0] == endgoal:
global answer
answer = partialSol[:]
return
if(possi... | true |
61a61d18207c89e6ddac3865a50b4cbb17d85703 | Python | umangahuja1/News-At-Command-Line | /ExtractMainContent.py | UTF-8 | 2,130 | 2.796875 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Jul 24 21:42:05 2016-2017
@author: Ankit Singh
"""
import requests
from configReader import ConfigurationReader
from Extractor import *
import textwrap
class ExtractMainContent(object):
def __init__(self,source,articleurl):
self.extractorlist=[Huffingto... | true |
7e2514db4fddaf2e035f709a8f290c75101d192a | Python | Plasmoxy/MaturitaInformatika2019 | /python/noob/pocet_9.py | UTF-8 | 147 | 4.09375 | 4 | [] | no_license |
x = int(input("Zadajte prir. c. : "))
c = 0
while x > 1:
if x % 10 == 9:
c += 1
x //= 10
print(f"Pocet cislic 9 v cisle je {c}") | true |
09d35eb1f40310ba0af4451c6ebed136bfb2c61e | Python | stephenhoward/community-calendar | /tests/unit/test_query_builder.py | UTF-8 | 1,874 | 2.625 | 3 | [] | no_license | import unittest
import event_calendar.query_builder
from event_calendar.model.event import Event
valid_variations = [
( 'bar', [None, 'bar','eq'] ),
( 'baz[gt]', [None, 'baz','gt'] ),
( 'bar.baz', ['bar','baz','eq'] ),
( 'bar.baz[lte]', ['bar','baz','lte'] )
]
class TestQueryBuilder... | true |
86b708b2cd6a5b664ccb792515a65c254127712e | Python | raniaarinta/Python-Machine-Learning-Deep-Learning | /tesnor2.0_img_classification/tensor2.0-img_classification.py | UTF-8 | 478 | 2.6875 | 3 | [] | no_license | import tensorflow as tf
import keras
import numpy as np
import matplotlib.pyplot as plt
data = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = data.load_data()
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
'Sandal', 'Shirt', 'S... | true |
afdffbeebc19df53f310ebf873e4989b37ed8fc2 | Python | jfairch81/Engineering_4_Notebooks | /Python/quadratic_formula.py | UTF-8 | 858 | 4.59375 | 5 | [] | no_license | # Jude Fairchild
# Quadratic Formula Calculator
import math # import math because I need to square root
def roots(x, y, z):
ans = [] # sets up array for answers
# Discriminant
d = (y*y) - 4*x*z
# Are roots real?
if d < 0:
print("The roots are not real, please restart the program.")
... | true |
a9fd929c53ec87d63d651d1e1952239a64dd86e5 | Python | tigervanilla/Guvi | /Hunter21.py | UTF-8 | 457 | 3.03125 | 3 | [] | no_license | n,m=(int(i) for i in input().split())
matrix=[]
for _ in range(n):
matrix.append([int(i) for i in input().split()])
pos=[]
for i in range(n):
for j in range(m):
if matrix[i][j]==0:
pos.append((i,j))
for coordinate in pos:
x,y=coordinate[0],coordinate[1]
for j in range(m):
mat... | true |
a65f7e866160d6a5926823fc22ecc4809d488fca | Python | yagavardhini/class-and-objects | /type 00 (add and sub)functions.py | UTF-8 | 218 | 3.453125 | 3 | [] | no_license | class two:
a=300
b=200
c=0
def add(self):
c=self.a+self.b
print(c)
def sub(self):
d=self.a-self.b
print(d)
obj1=two()
obj1.add()
obj1.sub()
print(obj1.a,"||",obj1.b)
| true |
76a36263b9f302bea52d60b78855b830e03b498a | Python | cblh/ud120-projects | /text_learning/vectorize_text_part_4.py | UTF-8 | 668 | 2.953125 | 3 | [] | no_license | import pickle
### The words (features) and authors (labels), already largely processed.
### These files should have been created from the previous (Lesson 10)
### mini-project.
words_file = "../text_learning/your_word_data.pkl"
authors_file = "../text_learning/your_email_authors.pkl"
word_data = pickle.load( open(wor... | true |
4df681728b517a08ab4644c7046d58bab9c08dda | Python | hoangp/cs3431-18s2-project | /tests/scripts/_run.py | UTF-8 | 7,869 | 2.65625 | 3 | [] | no_license | #! /usr/bin/python
import rospy
from std_msgs.msg import String
from sensor_msgs.msg import Image
import cv2
import numpy as np
from cv_bridge import CvBridge, CvBridgeError
from darknet_ros_msgs.msg import BoundingBoxes
def draw_rectangle(img, rect):
(x, y, w, h) = rect
cv2.rectangle(img, (x, y), (x+w, y+h)... | true |
5ddbecb680da7b083520b20b6cf4cf35fef1ed31 | Python | revdotcom/revai-python-sdk | /src/rev_ai/sentiment_analysis_client.py | UTF-8 | 5,358 | 2.6875 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""Client used or interacting with out sentiment analysis api"""
from .generic_api_client import GenericApiClient
from .models import SentimentAnalysisJob, SentimentAnalysisResult
class SentimentAnalysisClient(GenericApiClient):
"""Client for interacting with the Rev AI sentiment analysis... | true |
90fd4cb6fe30fa8f598a1f63845e0531989ea6c7 | Python | nilearn/nilearn | /nilearn/glm/regression.py | UTF-8 | 12,497 | 3.40625 | 3 | [
"BSD-3-Clause"
] | permissive | """Implement some standard regression models: OLS and WLS \
models, as well as an AR(p) regression model.
Models are specified with a design matrix and are fit using their
'fit' method.
Subclasses that have more complicated covariance matrices
should write over the 'whiten' method as the fit method
prewhitens the res... | true |
f205d0b2e5af94e483cbe5ef710dade81fbaf8ea | Python | vartanbeno/sentiment-web-crawler | /src/classes/document_parser.py | UTF-8 | 4,583 | 3.265625 | 3 | [
"MIT"
] | permissive | from helpers import afinn, PAGES, URL, CONTENT, TOTALS, TOTAL_DOCUMENTS, TOTAL_TOKENS, TOTAL_AFINN, AVG_TOKENS, AVG_AFINN
import json
class DocumentParser:
# static variables
stats_file = "url_stats.txt"
summary = "SUMMARY:"
def __init__(self, file_to_parse):
"""
Initialize the docu... | true |
92783798a94a7c402a203b1f93f1e2af6d44095b | Python | iamakshatjain/Codings | /codechef/May Challenge 2020 Division 2/CHANDF/main.py | UTF-8 | 97 | 3.28125 | 3 | [] | no_license | t = int(input())
while(t > 0):
x, y, l, r = map(int, input().split())
print(x|y)
t-=1 | true |
ba6bf2e3513513b1b4218ad0a152c966f388523d | Python | g-jing/TorchFly-1 | /torchfly/utils/file_utils.py | UTF-8 | 572 | 2.765625 | 3 | [
"MIT"
] | permissive | import requests
import tqdm
def http_get(url, filename, proxies=None):
req = requests.get(url, stream=True, proxies=proxies)
content_length = req.headers.get('Content-Length')
total = int(content_length) if content_length is not None else None
progress = tqdm.tqdm(unit="B", total=total)
w... | true |
ce9dd3657218b92c07619cd486bdf40634a052cf | Python | Gui25Reis/Mudanca-de-base | /arquivos/outras-versoes/_outros/Mudança de Base 03.py | UTF-8 | 5,403 | 3.5 | 4 | [
"MIT"
] | permissive | print('Resultdo: a partir do 1º zero do quociente')
print('Máx. 15 dígitos')
print()
a = int(input("Base inicial: ", ))
b = int(input("Base final: ", ))
if a != 2:
print()
n = int(input('Número, SEM ESPAÇO: ', ))
print()
d1 = int(n/(10**14))
r1 = int(n%(10**14))
d2 = int(r1/(10**13))
r2 = in... | true |
65779bf4100ed33c15af012431168f8bb9e75ab0 | Python | podhmo/swagger-marshmallow-codegen | /examples/01ref/main.py | UTF-8 | 559 | 2.859375 | 3 | [
"MIT"
] | permissive | import sys
from person import Person
if __name__ == "__main__":
try:
d = {"name": "foo", "age": "20"}
data = Person().load(d)
print("ok", data)
except Exception as e:
print("ng", e)
sys.exit(-1)
try:
d = {
"name": "foo",
"age": "20",
... | true |
dcfbae1bce07cfaeffa567984ee531b9a0068dca | Python | divyap2706/Reduced-to-home | /src/cleaning_src/Spark_Jobs/Zip_Code_Intersect.py | UTF-8 | 1,219 | 2.921875 | 3 | [] | no_license | from __future__ import print_function
# This is the code for looking for Zip Codes that appear in both lists.
import sys
from pyspark import SparkContext
from pyspark.sql import SparkSession
from pyspark.sql.functions import format_string
from pyspark.sql.functions import lit
from pyspark.sql.functions import date_for... | true |
505c6098a950b8959b2ce54fa010f63cf0d93ffd | Python | RomeoVa/intelligent-systems | /BFS/BfsWithWeight.py | UTF-8 | 1,158 | 3.390625 | 3 | [] | no_license | '''
BFS - Search with weight
Mauricio Peón A01024162
Romeo Varela A01020736
Germán Torres A01651423
'''
import csv
import numpy as np
def findPath(dicSonParent,path,cost,currentNode):
cost += int(dicSonParent[currentNode][0][1])
currentNode = dicSonParent[currentNode][0][0]
if c... | true |
ff28f35b725fde5ebc000ba072af6a63763aebcc | Python | NeumannSven/pyshb_oop | /home_first.py | UTF-8 | 1,102 | 3.34375 | 3 | [] | no_license | '''
Created on 20.02.2018
@author: sven
'''
class home(object):
place = ""
uuid = 0
devices = []
def __init__(self, uuid = 0, place = ""):
self.uuid = uuid
self.place = place
def addDevice(self, device):
self.devices.append(device)
def getDevices(self):
... | true |
1e93dfa557b4a0bee90d066506aeb51a871c5e7f | Python | wangzheng62/wztest | /processtest.py | UTF-8 | 700 | 2.921875 | 3 | [] | no_license | from multiprocessing import Process,Queue
import os,time
# 子进程要执行的代码
def run_proc(name,q):
i=0
q.put(name)
while(i<100000000):
i+=1
print('Run child process %s (%s)...' % (name, os.getpid()))
if __name__=='__main__':
q=Queue()
print('Parent process %s.' % os.getpid())
p1 = Process(target=run_proc,args=('p1',... | true |
f6a9c3ddaf6191569e37459d893cd4c5c42cbf4c | Python | meteostat/meteostat-python | /examples/daily/point.py | UTF-8 | 710 | 3.09375 | 3 | [
"MIT",
"CC-BY-NC-4.0"
] | permissive | """
Example: Daily point data access
Meteorological data provided by Meteostat (https://dev.meteostat.net)
under the terms of the Creative Commons Attribution-NonCommercial
4.0 International Public License.
The code is licensed under the MIT license.
"""
from datetime import datetime
import matplotlib.pyplot as plt
... | true |
ee25dfebdebef337b6f92c5bfe6b670d6cd2abd1 | Python | RnLe/AP1920-AJRM | /PeP Workshop/exercises-toolbox-1/1-python/7-wordcount/loesung2.py | UTF-8 | 424 | 3.59375 | 4 | [] | no_license | with open('text.txt') as f:
words = f.read().split()
counts = dict()
for word in words:
# Nehme Häufigkeit des Worts oder 0,
# wenn das Wort noch nicht verzeichnet ist
freq = counts.get(word, 0)
counts[word] = freq + 1
def get_count(x):
return x[1]
result = sorted(counts.... | true |
83574e8df82247b4a8f0f3aca13ecde67b04724d | Python | connor-john/GANs-pytorch | /GAN/preprocessing.py | UTF-8 | 960 | 2.78125 | 3 | [
"MIT"
] | permissive | import torch
import torchvision
import torchvision.transforms as transforms
from torchvision.utils import save_image
# Get data
# Using MNIST
def get_data():
# Transform to normalise pixels
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(mean=(0.5,),
... | true |
94f8c4b516488f8bad8e376345862f9246142964 | Python | ashildebrandt/Grendel | /grendel/locations.py | UTF-8 | 3,785 | 2.6875 | 3 | [] | no_license | import items, verbs, scripts, game
def Item(item): return items.Get(item)
def Verb(verb): return verbs.Get(verb)
def Game(): return game.Settings()
objects = []
directory = []
class InitLocation(object):
def __init__(self, sDesc, lDesc = None):
self.name = sDesc # Should never change after creation
self.descri... | true |
8a2c83608a2e1fd4c76f087b8144a1be3029564e | Python | sc-199/2018-2019 | /7 კლასი/7_4/ფილფანი სანდრო/for loop.py | UTF-8 | 188 | 2.65625 | 3 | [] | no_license | print('samnishna kenti ricxvebis jami,')
print('for ciklis gamoyenebit:')
s = 0
i = 0
for i in range(100):
i += 1
if i % 2 == 1:
s += i
print('kenti samnishna ricxvebis jamia __ ' + str(s))
input('done...')
| true |
97526f4036f835b739f7b68f813d0984009260ab | Python | Atzingen/curso-IoT | /aula-04-grove/buzzer.py | UTF-8 | 731 | 2.765625 | 3 | [
"MIT"
] | permissive | # -*- coding: latin-1 -*-
'''
Baseado no exemplo disponibilizado pela biblioteca upm/mraa da intel
Para controlar o buzzer.
Gustavo Voltani von Atzingen 15/04/2017
Curso IoT 2017 - IFSP Piracicaba
'''
import time
import mraa
from upm import pyupm_buzzer as upmBuzzer
def desliga_buzzer(pino):
x = mraa.Gpio(pino)... | true |
2171fdfdc18238b04834059337796a8ae6aa94db | Python | hwuachen/newsapp | /application/routes.py | UTF-8 | 4,121 | 2.6875 | 3 | [] | no_license | from application import app, db, english_bot
from flask import render_template, request, json, Response, redirect, flash
from trumptweets_testdata import trumpTweetsTestData
from application.models import User, Trumptweet
from application.forms import LoginForm, RegisterForm
trumpTweets = Trumptweet.objects.all()
def... | true |
0e13c446dc51f07fe4d8ddb4552f850a6d23bda2 | Python | jcarrete5/suitable-solution | /solver/__main__.py | UTF-8 | 454 | 3.15625 | 3 | [] | no_license | """
Takes serial division expressions as arguments and
prints the solution to each expression on a new line.
"""
from argparse import ArgumentParser
from .divide import eval_expr
parser = ArgumentParser(description=__doc__)
parser.add_argument(
'expr_list',
nargs='+',
metavar='expr',
help="Expressio... | true |
cfb54251443f1d4bafc89f12f39c3a8f97ad65a8 | Python | jddirr/CS466-Project | /experiment.py | UTF-8 | 1,719 | 2.859375 | 3 | [] | no_license | from alignment import GlobalAlignment
from string_generator import *
import time
B_RUN_INPUT_TO_LENGTH_10000 = False
string_names_V = ["len 100", "len 100", "len 100", "len 1000", "len 1000", "len 1000", "len 10000", "len 10000", "len 10000"]
string_names_W = ["len 100, mutated", "len 80, substring", "len 80, subst... | true |
7e499560ca5b09853d98e60cff2664357e6c5b5e | Python | EllieZhao/python-utils | /binary_tree_level_order_traversal2.py | UTF-8 | 1,775 | 3.609375 | 4 | [] | no_license | class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def __init__(self):
self.s = []
# @param {TreeNode} root
# @return {integer[][]}
def levelOrderBottom(self, root):
if not root:
return []
... | true |
6e3a63c8a493f1f81946398644c6b830f0f1ddf9 | Python | skgigliotti/Capstone-NLP | /project/extra_data/blobtranslate.py | UTF-8 | 820 | 2.6875 | 3 | [] | no_license | import csv
import pandas as pd
from urllib import request
from textblob import TextBlob
origText = request.urlopen("https://www.olympic.org/news/ioc-ipc-tokyo-2020-organising-committee-and-tokyo-metropolitan-government-announce-new-dates-for-the-olympic-and-paralympic-games-tokyo-2020")
encoding = origText.info().ge... | true |
a0cf6e6725e9b992ead0f9b8ba26bfad5cfcb43c | Python | azhagumanikandan/manikandan | /11hun.py | UTF-8 | 67 | 2.828125 | 3 | [] | no_license | #azhagu
s = input().split()
for j in s:
print(j[::-1],end = " ")
| true |
c9c79745a9084706e9e8f3a7e2fd1301487ed4a6 | Python | robin-norwood/TIY-Python-Apr-2016 | /week1/lotsaargs.py | UTF-8 | 925 | 3.546875 | 4 | [] | no_license | def concatTwo(first, second):
return first + ' ' + second
#print(concatTwo("Joe", "BillyBob"))
def concatAll(*args):
return ' '.join(args)
#print(concatAll())
def concatWith(sep, *strings):
print("strings is a " + str(type(strings)))
return sep.join(strings)
#print(concatWith(", ", "John", "George"... | true |
b816ea6b691dce55511bd6cd7be17fb55bb017c6 | Python | Dpm99/Ethereum-Analysis | /Top_10_pouplar_services.py | UTF-8 | 1,321 | 2.9375 | 3 | [] | no_license | import pyspark
sc = pyspark.SparkContext()
def good_line_transactions(line):
try:
fields = line.split(',')
if len(fields)!=7:
return False
int(fields[3])
return True
except:
return False
def good_line_contracts(line):
try:
fields = line.split... | true |
0b295bab19651f47c35df79a85649ee3b7bcd018 | Python | joshua7linares/Tecnicas3-2 | /JoshuaLinares/p16.py | UTF-8 | 391 | 3.859375 | 4 | [] | no_license |
#determina los divisores comunes de un par de numeros
print "ingresa dos valores enteros diferentes"
a=input("ingresa el primer valor: ")
b=input("ingresa el segundo valor: ")
if a==b:
print "los valores deben ser distintos"
a=input("ingresa el primer valor: ")
b=input("ingresa el segundo valor: ")
n=1
while n... | true |
9daf446fb648068ae688574b8e315a5e29d7b194 | Python | daman2412/iosfu | /iosfu/gui/components/base.py | UTF-8 | 3,711 | 2.625 | 3 | [
"MIT",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | from os.path import join as join_path, dirname
from inspect import getfile
from iosfu.utils import slugify
class Component(object):
"""
Base GUI Component object
"""
# Component type, do NOT modify
_type = None
def __unicode__(self):
return self.name
# class Category(Component):
#... | true |
e73ac06f76655e19d02a9db517caa6ee7ac0ce7c | Python | sorakunn/Friend-Recommendation | /tools/IO.py | UTF-8 | 703 | 3.109375 | 3 | [] | no_license | import pandas as pd
import numpy as np
import os
def read(path):
"""读取某一路径的csv格式数据文件"""
# 获取根路径
current = os.path.dirname(__file__)
parrent = os.path.dirname(current)
# 使用 pandas 进行读取
path = parrent + '/' + path
df = pd.read_csv(path, header=0)
return df
def write(df, path,header=Fal... | true |
8b6448592994258a587e91ab014f1cfc940c7356 | Python | christianparpart/pogobaer | /main.py | UTF-8 | 3,335 | 2.625 | 3 | [] | no_license | #! /usr/bin/env python3
'''
Erste versuche einen eigenen Discordbot zu Schreiben.
'''
import discord
import asyncio
import config
client = discord.Client()
@client.event
async def on_ready():
print('Logged in as: ' + client.user.name)
print('user-ID: ' + client.user.id)
print('---------------------------... | true |
1ce9efafedc19d75735175334bbca93f940baed3 | Python | harinando/sdc-vehicule-detection | /search_classify.py | UTF-8 | 8,553 | 2.8125 | 3 | [] | no_license | import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import cv2
import glob
import time
from sklearn.svm import LinearSVC
from sklearn.preprocessing import StandardScaler
from skimage.feature import hog
from scipy.ndimage.measurements import label
from feature_extractor import *
# NOTE: ... | true |
69bd5d1c3498c1edc3a4a9fde7be93530134c69d | Python | feihong/python-examples | /aiohttp/synchronous_websocket_client/client.py | UTF-8 | 377 | 2.546875 | 3 | [] | no_license | import sys
import time
from websocketclient import WebSocketClient
def long_task(url):
with WebSocketClient(url) as client:
total = 15
for i in range(1, total+1):
print(i)
client.write(type='progress', value=i, total=total)
time.sleep(0.05)
if __name__ == '__... | true |
7079f7032aba1785ffc43a0dba24b4975a7a7e0c | Python | vpereira/flows_to_weka | /tcp_stream.py | UTF-8 | 957 | 2.65625 | 3 | [
"MIT"
] | permissive | from scapy.all import *
from network_stream import NetworkStream
from numpy import *
from entropy import kolmogorov, shannon
from application_detection import ApplicationDetection
#We are assuming:
#1) Its an IP packet
#2) Its an TCP packet
class TCPStream(NetworkStream):
def __init__(self,pkt):
super(TCP... | true |
3950d1dd7327ca89a0b53b84de885269631740de | Python | rehan252/Axiom-Pre-Internship | /Learn-Python3-from-Scratch/05-Data-Structure/05-quiz.py | UTF-8 | 963 | 4.53125 | 5 | [] | no_license | """
Quiz for Data Structure
Q1: Which of the following sets of properties is true for a list?
Ans: Ordered
Mutable
Indexed
Q2: For a given data structure, ds, what is the correct way of calculating its length?
Ans: len(ds)
Q3: In a dictionary, key-value pairs are indexed by _____.
Ans: Keys
Q4: A... | true |
63340370b01684af3e3f3fdfaa21ff941b4ec0ee | Python | bartvanwesten/oceanwaves-python | /tests/test_units.py | UTF-8 | 2,380 | 3.234375 | 3 | [
"MIT"
] | permissive | from nose.tools import *
import numpy as np
from datetime import datetime
from oceanwaves import *
DIMS = [('time', [datetime(1970,1,1,0),
datetime(1970,1,1,1)]),
('location', [(0,0),
(1,0),
(0,1),
(.5,.5)]),
... | true |
cd059e6b3a451428eaaaba7abaaf383534ccc8c1 | Python | Richard-Walter/Regular-Expressions | /RegEx Examples.py | UTF-8 | 3,363 | 4.125 | 4 | [] | no_license | import re
"""
From https://www.youtube.com/watch?v=K8L6KVGG-7o
. - Any Character Except New Line
\d - Digit (0-9)
\D - Not a Digit (0-9)
\w - Word Character (a-z, A-Z, 0-9, _)
\W - Not a Word Character
\s - Whitespace (space, tab, newline)
\S - Not Whitespace (space, tab, newline)... | true |
2682745df66d59194a85c71982c073c9ffb84cb6 | Python | engrchyke/DNAtoMidi | /DNAtomidi.py | UTF-8 | 11,359 | 2.96875 | 3 | [] | no_license | #!/usr/bin/env python
import csv
from midiutil import MIDIFile
import random
import sys
import argparse
from time import time
def formatDNAFile(rawFile):
with open(rawFile) as myfile:
data=myfile.read().replace('\n', '')
split_sequence = [data[i:i+3] for i in range(0, len(data)-1, 3)]
return spl... | true |
ac8052635a089ea53914f2267f02911a09ef0525 | Python | przemokosch/PyMazeGenerator | /main.py | UTF-8 | 5,346 | 3.515625 | 4 | [] | no_license | import pygame
import sys
import random
class Node:
def __init__(self, x, y):
self._x = x
self._y = y
self._neighbours = list()
self._connected = list()
self._visited = False
def add_neighbour(self, node):
self._neighbours.append(node)
def connect(self, nod... | true |
17dcfffdd2b660cedb473dbcbee31a44d7b5fa79 | Python | Josephbakulikira/Traveling-Salesman-Algorithm | /point.py | UTF-8 | 1,170 | 3.078125 | 3 | [] | no_license | import pygame
pygame.font.init()
textColor = (0, 0, 0)
# textFont = pg.font.Font("freesansbold.ttf", size)
textFont = pygame.font.SysFont("Arial", 20)
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
self.radius = 1
self.alpha = 150
def Draw(self... | true |
bcbf81676abf3dc5594fa4a690f917b9a6856f60 | Python | gaijigoumeiren/algo_programing | /9_tree_pro/order_things.py | UTF-8 | 2,644 | 3.828125 | 4 | [] | no_license | # -*- encoding=utf-8 -*-
class TreeNode:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
def build_tree_preorder_inorder(preorder, inorder):
"""
前序中序建树，这个方式超级慢，而且空间大，
:param preorder:
:param inorder:
:return:
"""
if preorder is Non... | true |
866a445a04485a024fa137e720c362e4c2305191 | Python | noamelf/Lets-build-a-Python-profiler-in-25-LOC | /src/stack_access.py | UTF-8 | 321 | 3.046875 | 3 | [] | no_license | # stack_access.py
import sys
import traceback
def show_stack():
for _, call_stack in sys._current_frames().items():
for frame in traceback.extract_stack(call_stack):
print(f'{frame.filename}:{frame.lineno}:'
f'{frame.name} - "{frame.line}"')
def bar():
show_stack()
bar()... | true |
e80461ad21ac8b157e19b465fbc9d5cf2694e954 | Python | AdamC66/July-19---04---OOP-Inheritance-Part-3 | /inheritance3.py | UTF-8 | 3,811 | 4.375 | 4 | [] | no_license | # First we'll need a class to represent the solar system. Let's call it System,
# and give it an attribute bodies. bodies will start as an empty list (ie. []).
class System:
def __init__(self):
self.bodies = []
def add(self,to_add):
self.bodies.append(to_add)
def total_mass(self):
... | true |
7fb13e251a35ac26ad373c0c7f68e4e64d6aeaa2 | Python | Aasthaengg/IBMdataset | /Python_codes/p03345/s199515440.py | UTF-8 | 225 | 3.03125 | 3 | [] | no_license | #template
def inputlist(): return [int(j) for j in input().split()]
#template
#issueから始める
A,B,C,K = inputlist()
if abs(B-A) >= 10**18:
print("Unfair")
exit()
ans = A-B
if K % 2 == 1:
ans *= -1
print(ans) | true |
64dda231fedfbc5e7afde5f013ab1bba1e2ee1b5 | Python | srbaxter/SeniorProject_ITDashboard | /ITDashboard/UnitTest/testServer.py | UTF-8 | 936 | 2.5625 | 3 | [] | no_license | '''
Created on Feb 4, 2016
@author: Carl
'''
import unittest
from src.serverPull import serverLister
from src.serverPull import serverDBPopulator
from src.serverPull import getServerGroup
class Test(unittest.TestCase):
def testName(self): #a passing test
pass
#serverDBPopulator
def testConnec... | true |
e788e4b81a22c72ca310d1f7435f89c397fe5e02 | Python | Kayala47/SDEV-KEKW | /code/initTracker.py | UTF-8 | 5,159 | 3.421875 | 3 | [] | no_license | class InitTracker:
trackerInfo = []
currentPlayer = 0
rounds = 0
def __init__(self):
super().__init__()
def printTracker(self):
''' Prints the current initiative tracker information.
Inputs: None
Outputs: None '''
if self.trackerInfo == []:
... | true |
774309a1416d83eed273f2146b976f1dbf56db16 | Python | nk900600/Bridge-Labz1 | /OOPS/test/test_card_game.py | UTF-8 | 1,491 | 2.546875 | 3 | [] | no_license | from OOPS.test_oops_util import CardGame
import unittest
import json
with open("/home/admin1/PycharmProjects/bridge_labz/Week1/test/test") as f:
test = json.load(f)
class test_CardGame(unittest.TestCase):
# method 1
def test_CardGame(self):
array = ["test1", "test2", "test3", "test4"]
f... | true |
72e2277c7272d8616a01f755c5e3461e1a22c1c1 | Python | daniel-reich/ubiquitous-fiesta | /5Fuf4WdJKhnHfs4ZR_20.py | UTF-8 | 57 | 3.125 | 3 | [] | no_license |
def length(s):
x=0
for i in s:
x+=1
return x
| true |
8efc3d01f676da6040aee35114c043292f7526d0 | Python | paularodriguez/python-core-and-advance-course | /sec14-encapsulation/task.py | UTF-8 | 519 | 3.890625 | 4 | [] | no_license | # Create class Patient with setter and accessor methods, one instance, set and print the fields
class Patient:
def setId(self, id):
self.id = id
def getId(self):
return self.id
def setName(self, name):
self.name = name
def getName(self):
return self.name
def setSS... | true |
006661a5f058d9a6f16dcb93318fcba258266c49 | Python | JustasB/OlfactoryBulb | /prev_ob_models/KaplanLansner2014/BCPNN.py | UTF-8 | 20,450 | 2.578125 | 3 | [
"MIT"
] | permissive | import numpy as np
import os
class BCPNN(object):
"""
BCPNN
1) load a pattern, i.e. the normalized ob activity
2) init:
initialize the weights to some uniform value
initialize biases to 1 / n_patterns
3) for all patterns:
calculate the post-synaptic activities: s_j
4) ge... | true |
5082ae17803e774f8df0f1a63ab4541377af2b7b | Python | chenxu0602/LeetCode | /1420.build-array-where-you-can-find-the-maximum-exactly-k-comparisons.py | UTF-8 | 2,308 | 3.34375 | 3 | [] | no_license | #
# @lc app=leetcode id=1420 lang=python3
#
# [1420] Build Array Where You Can Find The Maximum Exactly K Comparisons
#
# https://leetcode.com/problems/build-array-where-you-can-find-the-maximum-exactly-k-comparisons/description/
#
# algorithms
# Hard (64.35%)
# Likes: 235
# Dislikes: 5
# Total Accepted: 6.3K
# T... | true |
18bec10b6017d0186b944d6f92b0947826886dbd | Python | wolaoa/leetcode | /python/leet_415.py | UTF-8 | 1,126 | 3.125 | 3 | [] | no_license | class Solution(object):
def addStrings(self, num1, num2):
"""
:type num1: str
:type num2: str
:rtype: str
"""
len1 = len(num1)
len2 = len(num2)
if len(num2) > len(num1):
return self.addStrings(num2, num1)
# malloc enough space to s... | true |
6f7a82a7e791765d4a3dacf13514a5f75aabfc88 | Python | nawnoes/DeepPurpleZero | /Support/OneHotEncoding.py | UTF-8 | 4,206 | 3.484375 | 3 | [] | no_license | '''
20일 알파고 모델 학습시키기 위해 사용
testSym으로 확인 결과 이상 없음.
'''
'''
사전형 자료형에서 value로 key값 찾는 방법
(1)
for name, age in mydict.items(): #mydict에 아이템을 하나씩 접근해서, key, value를 각각 name, age에 저장
if age == search_age:
print name
(2)
[name for name, age in mydict.items() if age == search_age]
[예제]
dic={'name': 'pei', 'age':... | true |
092d9350d132b39a76daf87c590c608174d337f0 | Python | yagolabate/Projeto-de-Design-de-Software | /comidas.py | UTF-8 | 39,739 | 2.640625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri May 13 07:51:33 2016
@author: Yago
"""
def ler_dicionario_comidas():
comidas = {
"Cereais e derivados": {
" Arroz, integral, cozido " : [ 25.8 , 2.6 , 1.0 ] ,
" Arroz, integral, cru " : [ 77.5 , 7.3 , 1.9 ] ,
" Arroz, tipo 1, c... | true |
d5b3d8349dbaa5b3b5e72f73d123bf38ff9b12a0 | Python | jh247247/euler | /p20/p20.py | UTF-8 | 303 | 3.765625 | 4 | [] | no_license | # Find the sum of the digits in the number 100!
# hopefully I don't have to use the bignum libs...
def sumNumDigits(num):
return sum([int(i) for i in str(num)])
def factorial(order):
ret = 1;
for i in range(1,order+1):
ret *= i
return ret
print(sumNumDigits(factorial(100)))
| true |
6765a2123226934e051ef94d21cf261ae867a963 | Python | Youngiyong/Python | /Algorism/크라마/Competitive Game.py | UTF-8 | 616 | 3.25 | 3 | [] | no_license | import collections
# def cutoffRanks(scores, cutOffRank):
# count = collections.Counter(scores)
# ans, curRank = 0, 1
# for k, v in sorted(count.items(),reverse=True):
# if curRank > cutOffRank:
# break
# ans += v
# curRank += v
# return ans
def numPlayers(k, score... | true |
b60ea5000864ae0903f891f915a41a6e8045f46a | Python | BlueQueen71/Python_Academy_Engeto | /projekt_1.py | UTF-8 | 3,384 | 3.21875 | 3 | [] | no_license | TEXTS = ['''
Situated about 10 miles west of Kemmerer,
Fossil Butte is a ruggedly impressive
topographic feature that rises sharply
some 1000 feet above Twin Creek Valley
to an elevation of more than 7500 feet
above sea level. The butte is located just
north of US 30N and the Union Pacific Railroad,
which traver... | true |
5cd8d7e0281d5479885f5c0766b907d152e7a583 | Python | takaya0111/AtCoder | /o.py | UTF-8 | 524 | 2.96875 | 3 | [] | no_license | import sys
sys.setrecursionlimit(10**7)
h,w = map(int,input().split())
# c = [list(input()) for i in range(h)]
c=[input().split() for _ in range(h)]
print(c)
def dfs(x,y):
if not(0<=x<h) or not(0<=y<w) or c[x][y]=="#":
return
if c[x][y]=="g":
print("Yes")
sys.exit()
c[x][y]="#"
... | true |
022e560734e733804c7611daef68779b79f5c4ef | Python | peacebytes/selenium-behave-python | /features/lib/pages/my_address.py | UTF-8 | 5,207 | 2.609375 | 3 | [] | no_license | __author__ = 'switbe'
from selenium.webdriver.common.by import By
from .base_page_object import BasePage
class MyAddress(BasePage):
def __init__(self, context):
BasePage.__init__(self, context)
self.su = context.su
locator_dictionary = {
"addAddressButton": (By.XPATH, '//a[@title="Add ... | true |
de553006c6251ecd94499a8b8fd0492fc8551089 | Python | wendell0829/ftp-python-socket- | /server/core/utils.py | UTF-8 | 1,944 | 3.046875 | 3 | [] | no_license | from server.core.database import User, session
def add_user(username, password):
user = User(username, password)
session.add(user)
session.commit()
def login_check(username, password):
'''
根据username在数据库中查找记录, 然后比对password
:param username:
:param password:
:return:
'''
user =... | true |
8dc41362b14552c9baf070733b5a12ae20ad2232 | Python | Aasthaengg/IBMdataset | /Python_codes/p02917/s542319573.py | UTF-8 | 336 | 2.90625 | 3 | [] | no_license | def mapt(fn, *args):
return tuple(map(fn, *args))
def Input():
return mapt(int, input().split(" "))
def main():
n = int(input())
b = Input()
data = 0
for i in range(n-1):
if i == 0:
data += b[i]
continue
data += min(b[i], b[i-1])
data += b[-1]
pr... | true |
5aa3da6903a9e6359c0fa2b70ea57c008d6f9e7f | Python | rishi-bhatnager/Abu | /marketSearch.py | UTF-8 | 1,755 | 3.09375 | 3 | [] | no_license | import json
import requests
import matplotlib.pyplot as plt
import numpy as np
import datetime as dt
key = "STHA8AW4L2LOMCWT"
def plotMarket(tick):
from securitySearch import check_data
ticker = tick
# Url to get data, other options include:
# * function=TIME_SERIES_DAILY_ADJUSTED for adjusted close... | true |
7531b0fc8df719535c7a2f2c7e055739b73e76d1 | Python | amanjaiman/Advent-Of-Code-2016 | /Day-3/D3P1.py | UTF-8 | 533 | 3.1875 | 3 | [] | no_license | total = 0
for line in open("Day3Problem1Text", "r"):
possible_triangle = line.split()
a = int(possible_triangle[0])
b = int(possible_triangle[1])
c = int(possible_triangle[2])
if a+b > c and a+c > b and b+c > a:
total += 1
print(total)
#862
#To combine lines 2-7:
#for l in open(... | true |
d05eef4aaefcebc10b27dcceb0c0280b7425ad3f | Python | VinodKumarLogan/Aurora | /Preprocess/id-unique-msg.py | UTF-8 | 458 | 2.65625 | 3 | [] | no_license | import csv as csv
unique_logs = {}
cleaned_logs = {}
unique_logs_file = csv.reader(open("../data/unique-msg-count.csv"))
cleaned_logs_file = csv.reader(open("../data/cleaned_logs_v3.csv"))
unique_logs_file_v2 = csv.writer(open("../data/unique-msg-count-v2.csv","a"))
for log in cleaned_logs_file :
cleaned_logs[int(l... | true |
2d0268c57c1461cac67ef23f4adec4ffe58f51f8 | Python | krutiwalko21/Python- | /Area.py | UTF-8 | 111 | 3.640625 | 4 | [] | no_license | radius =float(input("Enter radius of circle: "))
pi = 3.14
print("The area of circle: ", pi * radius * radius)
| true |
3bbe5e78ad8fe605112bf82090e64c901a28f9a3 | Python | silky/bell-ppls | /env/lib/python2.7/site-packages/observations/r/brambles.py | UTF-8 | 1,925 | 2.9375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import csv
import numpy as np
import os
import sys
from observations.util import maybe_download_and_extract
def brambles(path):
"""Spatial Location of Bramble Canes
The `brambles... | true |
21b42567535fe8b9d08b34ce2d363b3fc009c106 | Python | antreashp/DL_2020 | /assignment_1/1_mlp_cnn/code/alex_pytorch.py | UTF-8 | 5,171 | 2.828125 | 3 | [] | no_license | """
This module implements a Convolutional Neural Network in PyTorch.
You should fill in code into indicated sections.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch.nn as nn
import torch
class myAlexNet(nn.Module):
"""
This class implem... | true |
0f3b28475796e236c43e3b55217f8155422df326 | Python | GabrielRojas74/Talleres-AyP | /Taller funciones/punto#1.py | UTF-8 | 351 | 3.1875 | 3 | [
"LicenseRef-scancode-other-permissive",
"MIT"
] | permissive | """1.Llenar las lista con los datos del archivo numeros.txt y Llenar las lista con los datos del archivo frutas.txt"""
frutas = open('frutas.txt', 'r')
numeros = open('numeros.txt', 'r')
lista_frutas = []
lista_numeros = []
for i in frutas:
lista_frutas.append(i)
for i in numeros:
lista_numeros.append(i)
print(list... | true |
2379f617616b1b047e20fd11ba905c60c0da77d9 | Python | Sts0mrg0/pcc-master | /sanproba/4-1-4-2.py | UTF-8 | 592 | 3.84375 | 4 | [] | no_license | pizzas = ['super', 'alg', 'mart']
lov = 'Я люблю пиццу '
for pizza in pizzas:
print(lov + pizza.title())
print('А еще больше я люблю пельмени')
frend_pizzas = pizzas[:]
frend_pizzas.append('RRRR')
pizzas.append('AAAA')
print(frend_pizzas)
print(pizzas)
pp= 'Мой список любимых пицц: '
print(pp)
[print(i.title()) for... | true |
d69f57729d6f527cae23f74204c0566c16cd9670 | Python | Starfunk/deep-reinforcement-learning-library | /testcode-keystone.py | UTF-8 | 18,528 | 3.84375 | 4 | [
"MIT"
] | permissive | """This file implements a neural network library 'from scratch', i.e.
only using numpy to implement the matrix data structures used to construct
neural networks. Precisely, you can use this library to create
feedforward neural networks; this library does not support the creation
of CNNs or RNNs.
Credit: Much of t... | true |
218dc0caabd0c3bc7131a3a45256c2abb2c0f457 | Python | dyqu1748/Weather-History-App | /flaskFunctions.py | UTF-8 | 1,255 | 2.75 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 17 09:36:40 2021
@author: narut
"""
from cassandra.cluster import Cluster
cluster = Cluster(['34.71.38.163','34.69.92.195','35.225.100.34'])
session = cluster.connect('firstkeyspace')
#NOT DONE WITH COUNTRY
def getCountryTemp(country):
quer1 = "SELECT * FROM land... | true |
a7c4bef926b1e955b366c20c31a115f994fda8ac | Python | NickG123/AdventOfCode2019 | /day18.py | UTF-8 | 5,040 | 2.96875 | 3 | [] | no_license | from __future__ import annotations
import string
from collections import deque
from dataclasses import dataclass
from functools import cache
from typing import Deque, List, Set, Optional, Tuple
INPUT = "input"
KEYS = set(string.ascii_lowercase)
DOORS = set(string.ascii_uppercase)
WALL = "#"
FLOOR = "."
START = "@"
... | true |
294bc3d39caeff19a28d4c2d082217b6b78ff7d0 | Python | CDAT/vcs | /vcs/vcsvtk/pipeline1d.py | UTF-8 | 5,823 | 2.578125 | 3 | [
"BSD-3-Clause"
] | permissive | from .pipeline import Pipeline
import numpy
import vcs
import cdms2
def smooth(x, beta, window_len=11):
""" kaiser window smoothing """
# extending the data at beginning and at the end
# to apply the window at the borders
s = numpy.r_[x[window_len - 1:0:-1], x, x[-1:-window_len:-1]]
w = numpy.kai... | true |
bcf6fc1509c83846167823850fcd9baf95ec1a4f | Python | HSU-11/Nature-Language-Implement | /HW2/HW2.py | UTF-8 | 645 | 3.3125 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
url = 'https://movies.yahoo.com.tw/movie_thisweek.html'
response = requests.get(url=url)
soup = BeautifulSoup(response.text, 'lxml')
info_items = soup.find_all('div', 'release_info')
for item in info_items:
name = item.find('div', 'release_movie_name')... | true |
25c8fa03b7df9b8338cc4dd2410f0ce7294ef713 | Python | Shamsullo/HackerRank_Python- | /Basic Data Types/FindingThePercentage.py | UTF-8 | 424 | 3.28125 | 3 | [] | no_license | if __name__ == '__main__':
n = int(raw_input())
student_marks = {}
for i in range(n):
s = raw_input().split(" ")
name = s[0]
score1 = float(s[1])
score2 = float(s[2])
score3 = float(s[3])
av_scores = (score1 + score2 + score3) / 3.0
stude... | true |
035c70c98b7c19c126e8add73012d89c3bf98f71 | Python | AkireL/TestH3ru | /Language.py | UTF-8 | 468 | 3.40625 | 3 | [] | no_license | import re
class Language:
def isInLanguage(self, word):
position = 0
if len(word) <= 0 :
raise Exception("Word empty!!")
patronAlphabet = re.compile("[^sxocqnmwpfyheljrdgui]")
matchOutLanguage = patronAlphabet.search(word)
if matchOutLanguage == None:
... | true |
13821c66f7ce90353b9fce1a490a4fde9d59aaa1 | Python | Dhivya1210/programlevel1 | /chat_box.py | UTF-8 | 1,891 | 3.546875 | 4 | [] | no_license | def chat():
l=[]
#until quit chat continuous
while True:
#chat of the person1
print("person 1")
s1=input()
#check user input
if(s1=="quit"):
l.append("quit")
break
l.append(s1)
#chat of the person2
print("p... | true |
c508aa6075a517359daa5e8eedae9a5ddaf46cff | Python | Ketang1008/Python-programming-practice | /multiplication_table_using_function.py | UTF-8 | 150 | 3.546875 | 4 | [] | no_license | def multiplication_table(n):
for i in range(1,11):
print(n,"x",i,"=",n*i)
n=int(input("Enter the number :"))
multiplication_table(n)
| true |
4e05a355d19690222f666a1085e48013c9c08d46 | Python | gabriel-valenga/CursoEmVideoPython | /ex012.py | UTF-8 | 261 | 3.734375 | 4 | [] | no_license | largura = float(input('Qual a largura da parede?'))
altura = float(input('Qual a altura da parede?'))
area = largura * altura
quantidadeTinta = area / 2
print('Área da parede: {}m², quantidade de tinta necessária: {:.3f} litros'.format(area,quantidadeTinta)) | true |
6bac847550ee646ed9e54384843ab766271cbf99 | Python | datafined/homework_gb | /lesson_2/task_2.py | UTF-8 | 1,203 | 4.0625 | 4 | [] | no_license | # Для списка реализовать обмен значений соседних элементов,
# т.е. Значениями обмениваются элементы с
# индексами 0 и 1, 2 и 3 и т.д.
# При нечетном количестве элементов последний сохранить
# на своем месте. Для заполнения списка элементов необходимо
# использовать функцию input().
new_list = []
user_list = []
n = 1
m... | true |
4b3b41b4bf93672db356d3c1bc13e4ad6d9de457 | Python | noisyoscillator/qtrader | /qtrader/agents/pretrainer/objectives.py | UTF-8 | 1,335 | 2.8125 | 3 | [
"Apache-2.0"
] | permissive | import numpy as np
from qtrader.utils.numpy import eps
def _mu_p(w: np.ndarray, r: np.ndarray) -> float:
"""Portfolio Returns."""
return np.dot(w.T, r)
def _sigma_p(w: np.ndarray, Sigma: np.ndarray) -> float:
"""Portoflio Variance"""
return np.dot(np.dot(w.T, Sigma), w)
def _trans_costs(w: np.nda... | true |
b7a5f16257735e0745338bee303a7a6130371b88 | Python | hotwingsfromtroy/chain_reaction_AI | /Chain_Reaction/trial_mk_VI.py | UTF-8 | 15,909 | 2.625 | 3 | [] | no_license | import tkinter
import time
import copy
import random
ROW_SIZE = 0
COL_SIZE = 0
DEPTH = 1
LEVEL = 0
OPT_RED = '#d10404'
OPT_GREEN = '#00911f'
DRAW_STATE = '#002559'
MINIMAX_VANILLA = 1
MINIMAX_ALPHABETA = 2
WINNER = -2
MOVE_TIME = 0
SELECTED_ALGO = 0
UNOCCUPIED_CELL = '#485969'
COMPU... | true |
5cdd022810734fda57ef28b621ee8cf15770d1cb | Python | ramanchawla1290/Currency-Converter | /currency_converter.py | UTF-8 | 10,021 | 3.34375 | 3 | [] | no_license | """
CURRENCY CONVERTOR
CLI based currency convertor
The program connects with an API to provide real-time exchange rates
The details for the API connection are stored in a configuration file
Command Format:
>> currency_converter.py <from_currency_code> <to_currency_code> <amount>
currency code : Interna... | true |
a9d5dde616a433d58e8e6566ddf3f2ed7872734c | Python | datadave/machine-learning | /brain/validator/validate_dataset.py | UTF-8 | 1,143 | 3.03125 | 3 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | #!/usr/bin/python
'''@validate_dataset
This script performs validation on correpsonding dataset(s).
'''
class Validate_Dataset(object):
'''Validate_Dataset
This class provies an interface to validate provided dataset(s) during
'data_new', and 'data_append' sessions.
Note: this class explicitly in... | true |
d3d48be7be110546e32df447c4f8100e4503af0b | Python | tocoli/tocolib | /tocoli/spell.py | UTF-8 | 3,783 | 2.953125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
STRICT = 'strict'
WIDE = 'wide'
def lookup(word, dictionary):
word = word.lower()
res = []
pair = False
for i, c in enumerate(word):
if pair:
pair = False
else:
try:
try:
nextC ... | true |
0a1ce52a3a6a604fa871aef39c176dafced37973 | Python | MaiconRenildo/Python | /Python 2.7/Códigos/Listas/Lista3/q17.py | ISO-8859-1 | 462 | 3.96875 | 4 | [
"MIT"
] | permissive | print 'Calculo da Area de um triangulo'
base=input('Informe o tamanho da bese do triangulo: ')
while base<=0:
base=input('Erro! A base no pode ser menor ou igual a zero. Informe um tamanho valido: ')
altura=input('Informe a altura do trinagulo: ')
while altura<=0:
altura=input('ERRO! A altura do triangulo no po... | true |
fa228b98424083ba7604b23ad596097dd2525dad | Python | luohc2004/Dodger | /scripts/stpoint.py | UTF-8 | 2,458 | 3.375 | 3 | [
"Apache-2.0"
] | permissive |
import math
import util
import random
import point
class STPoint(object):
def __init__(self, x, y, t):
self.x = x
self.y = y
self.t = t
def get_x(self):
return self.x
def get_y(self):
return self.y
def get_t(self):
return self.t
def within(self... | true |
e0a3192e00099cdbc9462b09d898b74aa30ac3c3 | Python | lanonk/CS_object_oriented_programming | /customer.py | UTF-8 | 1,547 | 3.8125 | 4 | [] | no_license | class Customer:
#the initilized variables for this class
def __init__(self):
self.id = " "
self.name = " "
self.order = []
#counts the number of orders a customer has---can also us len function
def get_order_count(sel... | true |
22fbbd766c154028c3d3555262ffc4192e9bd128 | Python | LevTG/Python_Projects | /Shtirlitz/Monoalphabet.py | UTF-8 | 1,122 | 3.03125 | 3 | [] | no_license | __author__ = 'Timofey Khirianov'
# -*- coding: utf8 -*-
class Monoalphabet:
alphabet = "абвгдеёжзийклмнопрстуфхцчшщъыьэюя"
def __init__(self, keytable):
lowercase_code = {x: y for x, y in zip(self.alphabet, keytable)}
uppercase_code = {x.upper(): y.upper() for x, y in zip(self.alphabet, keyta... | true |
1655fce486c9f2e2c598d4c57726d7f6f5e686d2 | Python | levimcclenny/Reinforcement_Learning | /Chapter2/Fig2-2.py | UTF-8 | 2,880 | 2.984375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 27 02:10:33 2017
@author: levimcclenny
"""
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
sns.violinplot(data = np.random.normal(0,1,10) + np.random.randn(200, 10), color = 'gray')
class Bandit:
def __init__(self):
... | true |
783d5e78ba6883d16b5ef34efae88958078463dc | Python | gautam-sharma1/FacialKeypointDetection | /live_inference.py | UTF-8 | 3,957 | 2.890625 | 3 | [
"MIT"
] | permissive | """
uses haar cascade to detect faces and then uses the trained neural network to detect keypoints
"""
import numpy as np
import os
import cv2
import matplotlib.pyplot as plt
from model import Net
from transforms import *
import torch
import argparse
parser = argparse.ArgumentParser(description='Live Inference')
par... | true |