blob_id large_string | repo_name large_string | path large_string | src_encoding large_string | length_bytes int64 | score float64 | int_score int64 | detected_licenses large list | license_type large_string | text string | download_success bool |
|---|---|---|---|---|---|---|---|---|---|---|
5589361d682f8fcdaed68ba096bbcae4227797be | tisnik/python-programming-courses | /Python2/examples/OOP/employee_class_7.py | UTF-8 | 1,126 | 4.21875 | 4 | [] | no_license | #!/usr/bin/env python3
# vim: set fileencoding=utf-8
"""Gettery a settery."""
class Employee:
"""Třída reprezentující zaměstnance."""
def __init__(self, first_name, surname, salary):
"""Konstruktor objektu."""
self._first_name = first_name
self._surname = surname
self._salary... | true |
aec6788fdd8b421eef32fb98b06dd3f9be281800 | XingXing2019/LeetCode | /Recursion/LeetCode 1137 - N-thTribonacciNumber/N-thTribonacciNumber_Python/main.py | UTF-8 | 335 | 3.21875 | 3 | [] | no_license | class Solution:
def tribonacci(self, n: int) -> int:
if n == 0:
return 0
if n < 3:
return 1
num0, num1, num2 = 0, 1, 1
for i in range(3, n + 1):
temp = num0 + num1 + num2
num0 = num1
num1 = num2
num2 = temp
... | true |
fa7cb129d6715955d2e62eb32199c7cc58c64330 | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/abc059/A/4909696.py | UTF-8 | 56 | 3.28125 | 3 | [] | no_license | a,b,c = input().split()
print((a[0]+b[0]+c[0]).upper()) | true |
9d2af9a89410ff447ba3497b19ca492860fdd881 | maciej88/SmallProgram | /models.py | UTF-8 | 7,751 | 3.09375 | 3 | [] | no_license | from psycopg2 import connect
from psycopg2.extras import RealDictCursor
from clcrypto import generate_salt, password_hash, check_password
def create_conenction(db_name='communications_server'):
# Otwarcie połączenie do podanej bazy danych.
db_connection = connect(
user='postgres',
password='c... | true |
013347f4e4a8526225a9da0c4e5de83777b2f865 | GabrielNew/Python3-Basics | /World 3/ex077.py | UTF-8 | 506 | 3.859375 | 4 | [] | no_license | # -*- coding: utf-8 -*-
'''
ex077 -> Crie um programa que tenha uma tupla com várias palavras (não usar acentos).
Depois disso, você deve mostrar, para cada palavra, quais são as suas vogais.
'''
palavras = ('LINGUAGEM','PROGRAMACAO','ESTUDAR','PESQUISA','PROGRAMA',
'PYTHON','JAVA','EXERCICI... | true |
173a23443fe24862957dbd25294ca121cb399d51 | EeshGupta/Cookin-Quantum | /circuit/gate/GateBuilder.py | UTF-8 | 8,052 | 2.859375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 13 11:50:43 2019
@author: Eesh Gupta
"""
import numpy as np
import math
import cmath
from . import GateMaker
from . import GroverGates
from . import ControlGates
class gates(GateMaker.gateMaker):
def __init__(self, qubits, state_vector):
... | true |
5c1779fb9a0d9f431aa6f5b1a8365d4e33f936bb | Ty-Allen/Allen_T_DataViz | /data/canada_medal_breakdown.py | UTF-8 | 340 | 3.5625 | 4 | [
"MIT"
] | permissive | import matplotlib.pyplot as plt
#generate a pie chart with our Olympic data
values = [315, 203, 107]
colors = ["gold", "silver", "brown"]
labels = ["Gold: 315", "Silver: 203", "Bronze: 107"]
explode = (0.05, 0, 0)
plt.title("Canada Medal Breakdown", pad="15")
plt.pie(values, labels=labels, colors=colors, explode=e... | true |
2749adfbc6c1187140a37c03d3ba69efde9647f1 | 22lrfuller/RhymingWebScraper | /RapLyricScrape.py | UTF-8 | 1,589 | 3 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import re
def lyricScrape(output):
# Searching the song on the website and getting the conents of the page
song = input("Enter the song name: ")
song = song.replace(" ", "+")
URL = 'https://search.azlyrics.com/search.php?q=' + song
results = BeautifulSoup(requests.ge... | true |
d4392174163da8be6207db3521d048f1f81ea2bb | Createitv/BeatyPython | /02-python面向对象/basicOOP/06-static_method.py | UTF-8 | 266 | 3.390625 | 3 | [] | no_license | class Player:
teamName = 'Liverpool' # class variables
def __init__(self, name):
self.name = name # creating instance variables
@staticmethod
def demo():
print("I am a static method.")
p1 = Player('lol')
p1.demo()
Player.demo()
| true |
b34930ff77b4041652d094a5b4def64e9c26838e | denizmersinlioglu/Python-Basics | /tkinter/TextArcs.py | UTF-8 | 300 | 2.828125 | 3 | [] | no_license | from tkinter import *
root = Tk()
canvas = Canvas(root, width=300, height=300)
canvas.pack()
canvas.create_arc(10, 10, 200, 80, extent=45, style=ARC)
canvas.create_arc(10, 80, 200, 160, extent=167, style=ARC)
canvas.create_text(150, 150, text="First GUI text", font=("Times,30"))
root.mainloop()
| true |
b790990643a9a3cae8df8847a479fc3032a29f04 | tmdgh3552/Data_Visualization | /df_graph.py | UTF-8 | 1,793 | 3.03125 | 3 | [] | no_license | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
f = open("datfile_sample","r")
dat_file = f.read()
fdat_spl = dat_file.split("\n")
j = 1
count = 0
odd = []
even = []
for i in range(len(fdat_spl)):
start_info = fdat_spl[i].find("MTF Peaks")
if... | true |
bbe7f7c1d590c7389f4008cc29d2ac4deed266f2 | HenriquedaSilvaCardoso/Exercicios-CursoemVideo-Python | /Exercícios em Python/PythonExercícios/ex004.py | UTF-8 | 821 | 4.125 | 4 | [
"MIT"
] | permissive | v = input('Digite algo: ')
print(f'O tipo desse algo é: \033[7;36;40m{type(v)}\033[m')
print(f'ESTÁ EM CAIXA ALTA? \033[7;36;40m{v.isupper()}\033[m')
print(f'É alfabético? \033[7;36;40m{v.isalpha()}\033[m')
print(f'É um número? \033[7;36;40m{v.isnumeric()}\033[m')
print(f'É ASCII? \033[7;36;40m{v.isascii()}\033[m')
pr... | true |
9aad78794775eccb5de2304d0e10558a612179a3 | mikkeloscar/plastix | /plastix.py | UTF-8 | 2,065 | 2.890625 | 3 | [] | no_license | from parser import document as parser
import sys
from elements import (
FootnoteRef,
Reference
)
class Plastix:
def __init__(self, parse):
self.parse = parse
self.preamble = [
"\\documentclass{article}\n",
"\\usepackage[utf8]{inputenc}\n",
... | true |
d7f27ae93e5357c31553c1dee50d8d6691455a7d | sai-hardik/basic_python_programs | /calculator.py | UTF-8 | 804 | 3.890625 | 4 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Nov 12 13:30:03 2020
@author: babut
"""
def add(x,y):
return x + y
def substract(x,y):
return x - y
def multiply(x,y):
return x * y
def divide(x,y):
return x/y
print("select operation.")
print("1.add")
print("2.substract") ... | true |
361b76496c94cbd30ca63f86e5180d9b3556f510 | Balakireva-Maria/test | /main.py | UTF-8 | 1,717 | 3.453125 | 3 | [] | no_license | documents = [
{"type": "passport", "number": "2207 876234", "name": "Василий Гупкин"},
{"type": "invoice", "number": "11-2", "name": "Геннадий Покемонов"},
{"type": "insurance", "number": "10006", "name": "Аристарх Павлов"}
]
directories = {
'1': ['2207 876234', '11-2', '5455 028765'],
'2': ['10006... | true |
1427b2fe0bed3afba409577517f473592e5d3670 | candi-project/Selenium | /SeleniumWDTutorial/PropertiesAndActions/PandA_on_WebElement.py | UTF-8 | 1,076 | 2.640625 | 3 | [] | no_license | from selenium import webdriver
import time
from selenium.common.exceptions import ElementNotVisibleException, NoSuchElementException
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
driver = webdriver... | true |
ece472a8ed853babd8be4c1307fe484b240aea8e | westernx/sgpublish | /sgpublish/exporter/base.py | UTF-8 | 3,831 | 2.53125 | 3 | [] | no_license | import os
from sgpublish.publisher import Publisher
class Exporter(object):
def __init__(self, workspace=None, filename_hint=None, publish_type=None):
self._workspace = workspace
self._filename_hint = filename_hint
self._publish_type = publish_type
@property
def publish_type... | true |
3c98854f949a80a00b32f845f223d9362044ddec | WorkShoft/python-developer-delectatech | /restaurants/repositories/sqlrepository.py | UTF-8 | 1,393 | 2.515625 | 3 | [
"Apache-2.0"
] | permissive | from django.db.models.fields import Field
from .baserepository import BaseRepo
from restaurants.models import Restaurant
from restaurants.custom_lookups import NotEqual
Field.register_lookup(NotEqual)
class SqlRestaurantRepo(BaseRepo):
model = Restaurant
def _query(self, params={}, first=False, as_dict=Fa... | true |
53276ca39b1df73f56cdf3020fb269cb9d12c788 | dinesh6752/Competitive-programming | /Codechef/NITIKA.py | UTF-8 | 362 | 3.4375 | 3 | [] | no_license | name=[]
for x in range(1,int(input())+1):
s=input()
name=s.split(" ");
if(len(name)==1):
print(name[0].capitalize())
if(len(name)==2):
print(name[0][0].capitalize(),end=". ")
print(name[1].capitalize())
elif(len(name)==3):
print(name[0][0].capitalize(),end=". ")
print(name[1][0].capitalize(),e... | true |
3ca5ac353e63f645390f55ddf2ab5c81b145e9b8 | ddandur/CDIPS-EEG-Project | /training.py | UTF-8 | 4,400 | 2.625 | 3 | [] | no_license | from ecog_tools import *
import pandas as pd
import numpy as np
import sklearn
import sklearn.ensemble
import scipy.stats
from random import shuffle
total_test_df = pd.DataFrame()
subjects = []
for i in range(1,9):
subject = 'Patient_%i'%(i)
subjects.append(subject)
for i in range(1,5):
subject = 'Dog_%i'... | true |
1234ceca07fd25bd5e90db5eca6d376edb346f5e | vinaykumar3117/blog-scanner | /post_processor/post_processor.py | UTF-8 | 3,579 | 3.234375 | 3 | [] | no_license | """
Module : post_processor.py
Description : eliminate blacklisted words, append URL column
Input : pipe1_output (csv file)
Ouput : pipe2_output (csv file)
"""
import csv
import os
local_import = True
postfix = ''
MIN_CHAR_COUNT = 19
def get_blacklist():
"""
Get blacklist words
"""
g... | true |
692637e6472cfbccd7e83b17430418b7352d9a0c | camerongridley/Formula-One-Home-Advantage | /src/show_stats.py | UTF-8 | 636 | 3 | 3 | [] | no_license | import numpy as np
import scipy.stats as stats
class ShowStats:
def __init__(self):
pass
def print_basic_stats(self, one_d_array, data_label='data'):
print(f'Mean of {data_label} {np.round(np.mean(one_d_array), 3)}')
print(f'Variance of {data_label} {np.round(np.var(one_d_array), 3)}'... | true |
b5810dda64cdd275a340ee97c07fd2e17f025cc9 | ManuelMeraz/ReinforcementLearning | /rl/agents/reprs/value.py | UTF-8 | 653 | 3.515625 | 4 | [
"MIT"
] | permissive | import pprint
class Value:
def __init__(self, value: float = 0.0, count: float = 0.0):
"""
Stores the value of a state and how many times the agent has been in this state
:param value: The total accumulated reward computed using temporal difference
:param count: The number of time... | true |
6d511cd842d4ac6b8ed347c422e7e9636bb10e56 | tetratec/speedbukkit | /src/org/speedbukkit/block/CraftNoteBlock.py | UTF-8 | 2,540 | 2.671875 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
""" generated source for module CraftNoteBlock """
from __future__ import print_function
# package: org.bukkit.craftbukkit.block
class CraftNoteBlock(CraftBlockState, NoteBlock):
""" generated source for class CraftNoteBlock """
world = None
note = None
@overloaded
def __init_... | true |
278ec2dec2b3343cab63558478cecb2ed3392fa8 | AnnaZavgorodnia/PostgreSQL_LABS | /sem1/lab2/controller.py | UTF-8 | 5,423 | 2.90625 | 3 | [] | no_license | from consolemenu import SelectionMenu
import model
import view
import scanner
class Controller:
def __init__(self):
self.model = model.Model()
self.view = view.View()
self.tables = list(model.TABLES.keys())
def get_table_name(self, index):
try:
return self.tables... | true |
3b104194d83534098e0f51bad081ca3d5cb6b58d | ste-haus/webshot | /src/webshot.py | UTF-8 | 2,599 | 2.84375 | 3 | [] | no_license | #!/usr/bin/env python3
import argparse, glob, os, sys, time, uuid
from PIL import Image
from selenium import webdriver
def get_browser(width, height):
print(f"Setting up {width}x{height} browser... ", end = '', flush=True)
options = webdriver.ChromeOptions()
options.add_argument('--headless')
options... | true |
babae26874fc95c4705578f9c3b0f0078b04a2ff | Srikanth-SM/HackerEarth | /erase_to_max.py | UTF-8 | 574 | 3.046875 | 3 | [] | no_license | // https://www.hackerearth.com/challenge/hiring/adessa-backend-hiring-challenge/algorithm/erase-to-max-7b8c0ca3/
def getResult(Arr):
# Write your code here
dic = {}
total = 0
for i in Arr:
if i in dic:
dic[i] += i
else:
dic[i] = i
total += i
sorted_by... | true |
20d0db04ce1e0f28731c926445b9944338fbb8db | JustinL42/Project-Euler | /009.py | UTF-8 | 314 | 3.375 | 3 | [] | no_license | import math
minc = int(math.floor(1000*math.sqrt(2)/(2+math.sqrt(2))))
maxc = 1000//2
count = 0
for c in range(minc, maxc):
c2 = c**2
for a in range(1, (1000-c)//2 + 1):
count += 1
if c2 == a**2 + (1000 - a -c)**2:
print(a, (1000 - a -c), c)
print('count:', count)
print('count:', count) | true |
a6e6dd023358d51e3b4b4bbc496ef9b931f6fff3 | kibanana/Study-Python-With | /yewon/ch07/example1.py | UTF-8 | 705 | 3.609375 | 4 | [] | no_license | # -*- coding: utf-8 -*-
import re
# 주민등록번호 뒷자리를 *로 바꾸자
data = """
park 800905-1049118
kim 700905-1059119
"""
# 1) 정규표현식을 모를 때
result = []
for line in data.split("\n"):
word_result = []
for word in line.split():
if len(word) == 14 and word[:6].isdigit() and word[7:].isdigit(): # 이름인가 / 주민등록번호인... | true |
a8032a4e172a31937e39abafc198ab670053bb95 | chriso/gauged | /gauged/drivers/mysql.py | UTF-8 | 16,682 | 2.65625 | 3 | [
"MIT"
] | permissive | """
Gauged
https://github.com/chriso/gauged (MIT Licensed)
Copyright 2014 (c) Chris O'Hara <cohara87@gmail.com>
"""
from collections import OrderedDict
from warnings import filterwarnings
from .interface import DriverInterface
class MySQLDriver(DriverInterface):
"""A mysql driver for gauged"""
MAX_KEY = 255... | true |
709ab3140bd37fd8775a3ca4f3b550fa36891c9b | TTTREE/Trackor_base | /src/tracktor/datasets/mot_siamese_wrapper.py | UTF-8 | 745 | 2.515625 | 3 | [
"MIT"
] | permissive | from torch.utils.data import Dataset
import torch
from .mot_siamese import MOT_Siamese
class MOT_Siamese_Wrapper(Dataset):
"""A Wrapper class for MOT_Siamese.
Wrapper class for combining different sequences into one dataset for the MOT_Siamese
Dataset.
"""
def __init__(self, split, dataloader):
train_folde... | true |
3dc66c1e016a29d51b72ae58b14ce41f495556d9 | nbgraham/PACCS_Heatmap | /abbr.py | UTF-8 | 701 | 3.0625 | 3 | [] | no_license | import csv
def remove_duplicates(infilename, outfilename):
rows = []
with open(infilename, 'rt', encoding='utf8') as csvinfile:
reader = csv.reader(csvinfile)
prev_row = None
for row in reader:
if row != prev_row:
rows.append(row)
prev_row = row... | true |
5bb231626af5037e855e7fa95bda6bf9587c5dec | jerryfeng007/pythonCodes | /multithreading/0007TCP客户端远程执行命令.py | UTF-8 | 612 | 3 | 3 | [] | no_license | import socket
ip_port = ('localhost', 8090)
buffer_size = 1024
tcp_client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
tcp_client.connect(ip_port)
while True:
cmd = input('请输入命令:>>>').strip() # 客户端有可能输入空数据
if not cmd:
continue
if cmd == 'quit':
break
tcp_client.send(cmd.encode('... | true |
843ad74c487134f3ab483ff3ba5db4b557120f5b | abhisekrai88/FS104 | /Session6_291220/writetofile.py | UTF-8 | 194 | 3.34375 | 3 | [] | no_license | file_string = str(input("Enter Text here:"))
def write_to_file(text):
file_object = open("testfile.txt","w")
file_object.write(text)
file_object.close()
write_to_file(file_string)
| true |
fdb03181596d84f3a48c830fd9dc25395b732e0a | lamarrg/Education | /edX/Using Python for Research/case_study2/language_processing.py | UTF-8 | 1,753 | 3.9375 | 4 | [] | no_license |
#text = "This is my test text. We're keeping this text short to keep things manageable."
def count_words(text):
"""
Count the number of times each word occurs in text (str). Return ditiontary where keys are unique words and values are word counts. Skip punctuation
"""
text = text.lower()
skips = [... | true |
9fa458654b200481877c86e718ad5ea4065771da | lenshuygh/python3FromScratch_packt | /control_structure/comparators.py | UTF-8 | 476 | 3.375 | 3 | [] | no_license | a = 100
b = 50
c = 100
print(a == a)
print(a == b)
print(a == c)
print("-"*50)
print(a != a)
print(a != b)
print(a != c)
print("-"*50)
bool_one = 10 == 10
print(bool_one)
print("-"*50)
bool_one = 10 == 11
print(bool_one)
not_equal = 10 != 11
print(not_equal)
less_than = 10 < 11
print(less_than)
greather_than = 10 > ... | true |
1403fe1dcdbcbe85da9b5a2c94eeadd1e28b9de2 | open-mmlab/mmagic | /mmagic/models/editors/deepfillv1/deepfill_disc.py | UTF-8 | 1,859 | 2.515625 | 3 | [
"Apache-2.0"
] | permissive | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmengine.model import BaseModule
from mmengine.model.weight_init import normal_init
from mmagic.registry import MODELS
@MODELS.register_module()
class DeepFillv1Discriminators(BaseModule):
"""Discriminators used in DeepFillv1 model.
... | true |
9efedc01af42df6ada7e62c5f481c80ffecb7879 | henrymendez/garage | /openai/venv/lib/python3.10/site-packages/langchain/document_loaders/whatsapp_chat.py | UTF-8 | 1,207 | 2.78125 | 3 | [] | no_license | import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(date: str, sender: str, text: str) -> str:
"""Combine message information in a readable format ready to be used."""
return f"... | true |
5be4319f25b8bda3528aa3eda014acd2a8dd29ed | phcanalytics/ibd_flare_model | /scripts/analysis/01_lab_selector.py | UTF-8 | 2,744 | 2.875 | 3 | [
"MIT"
] | permissive | """
Title: Selecting Labs Measures Features
Author: Ryan Gan
Date Created: 2020-02-14
Script to identify labs measured on at least 70% of visits/observations.
Rational that these would be the most commonly tested labs in Optum
EHR and hence the most useful in practice.
"""
"""
Modules
"""
print('Importing modules/p... | true |
eac4b072d0455928915501f1e8935444acdaaa41 | RohanSreelesh/School_Project_CRM | /datecheck.py | UTF-8 | 1,407 | 3.625 | 4 | [] | no_license | def datecheck(date):
import time
today=time.strftime("%d%m%Y",time.gmtime())
date=str(date)
day=int(date[0:2])
month=int(date[2:4])
year=int(date[4:])
#alphabet check
for i in date:
if i not in '1234567890':
return False
break
if len(date)!... | true |
72a0cd545498eca4a25801c4e53337e17a641db4 | gdgf/MoocTF | /2python/b.py | UTF-8 | 190 | 3.90625 | 4 | [] | no_license | #coding:utf-8
age=int(input("输入你的年龄\n"))
if age>18:
print ("大于十八岁")
print ("你成年了")
else:
print("小于等于十八岁")
print ("还未成年")
| true |
d7ab498922d5e5adf6d596d3321cd9cd12ff6398 | thydungeonsean/Oryx | /source/items/actors/actor.py | UTF-8 | 4,752 | 2.984375 | 3 | [] | no_license | from random import *
from ...graphics.image import AnimatedSprite
from ...graphics.image import AnimatedAvatar
from ...graphics.image import CopiedAnimatedSprite
from control_component import ActorControlComponent
import mobility
class Actor(object):
def __init__(self, name, image_package, stat_component, mo... | true |
df180cebbcb1bce9da70971f283e1cd1a960d2d7 | jwestrob/Script_Toybox | /correcter.py | UTF-8 | 1,169 | 2.671875 | 3 | [] | no_license | import os, sys, math
import numpy as np
import time
from Bio import SeqIO
def trimmer(filename):
found = False
new_fasta = []
with open(filename) as inputfile:
for line in inputfile:
if line[0] == ">":
found = True
if found == True:
new_fasta.... | true |
536c8aea93d1a76176765efc807c693f94df0486 | vvalotto/Patrones_Disenio_Python | /principios_SOLID/SPR/Ejemplo 1 - No SPR/calculador_factura.py | UTF-8 | 1,452 | 3.1875 | 3 | [] | no_license | '''
Created on 03/01/2014
@author: vvalotto
Ejemplo de la violacion a Principio de Resposanbilidad Unica
'''
from factura import Factura
class CalculadorFactura():
'''
Clase Responsable de Calculo del importe de la factura
'''
def __init__(self, factura):
'''
El constructor del ca... | true |
0efc98f95c863da943b3d3539227c37329ca5641 | jpavelw/sam-2017 | /SAM2017/registration/models.py | UTF-8 | 1,137 | 2.625 | 3 | [
"MIT"
] | permissive | from django.db import models
class Role(models.Model):
# Jairo added the code field
AUT = "AUT"
PCM = "PCM"
PCC = "PCC"
ADM = "ADM"
role_choices = (
(AUT, "Author"),
(PCM, "Program committee member"),
(PCC, "Program committee chair"),
(ADM, "Administrator")
... | true |
697ee750b5a5a57a28b23e9a954c99120ae96a3f | apple/swift | /utils/viewcfg | UTF-8 | 6,754 | 2.53125 | 3 | [
"Apache-2.0",
"Swift-exception"
] | permissive | #!/usr/bin/env python3
# viewcfg - A script for viewing the CFG of SIL and LLVM IR -*- python -*-
#
# This source file is part of the Swift.org open source project
#
# Copyright (c) 2014 - 2017 Apple Inc. and the Swift project authors
# Licensed under Apache License v2.0 with Runtime Library Exception
#
# See https://s... | true |
16e61666a3b4efa1348cb6ff5e9d49daa8f98171 | kennyjoseph/twitter_matching | /voter_file_aggregation/code/public_voter_data_tools/connecticut.py | UTF-8 | 3,722 | 2.578125 | 3 | [] | no_license | import csv
import glob
from util import get_party
party_map = {
"R":"R",
"D":"D",
"U":"U",
"UNAFF":"U",
}
def file_reader(fil):
return open(fil)
def line_reader(line):
try:
county = towns[line[236:254].strip()]
except:
return None
votes = line[470:len(line)]
votes... | true |
bf96ba845e806bb542ee99d2725c1ab4711b6207 | eva-koester/census | /queries_manipulations.py | UTF-8 | 2,014 | 2.875 | 3 | [] | no_license | from sqlalchemy import create_engine, MetaData, Table, Column, String, Integer, insert, select, func, \
case, cast, Float, desc
# Define an engine to connect to the database census.db
engine = create_engine('sqlite:///census.db')
connection = engine.connect()
metadata = MetaData()
census = Table('census', metadata... | true |
c1109f860c1a14b62855e54a81c5ae5f125986c5 | 88azerty/connieAI | /main.py | UTF-8 | 2,704 | 2.5625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 26 23:58:14 2018
Conectar ROOT con Tensorflow
@author: hernanca
"""
import uproot # Se instala con pip3 install uproot[all]
import pandas as pd
import tensorflow as tf # Se instala con pip3 install tensorflow[all]
import numpy as np... | true |
903a8b2523c22baa2e5456527b0c86d0f9e3c11b | ursaMaj0r/python-csc-125 | /Snippets/intro-1/Yuor_biran_is_an_azamnig_thnig.py | UTF-8 | 350 | 3.734375 | 4 | [
"MIT"
] | permissive | # input
input_raw = input("Enter words: ")
input_words = input_raw.split()
# tests
if (set(input_words[0]) == set(input_words[-1])) and (set(input_words[0][0]) == set(input_words[-1][0])) and (set(input_words[0][-1]) == set(input_words[-1][-1])) and (len(input_words[0]) == len(input_words[-1])):
print("Super Anagr... | true |
1390a166bf51a232cced1183b87b408015f10f0e | Jacyle/binance-technical-algorithm | /Algorithm/Logic.py | UTF-8 | 9,280 | 2.5625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
import pandas as pd
from technical_indicators import TechInd
from sqlalchemy import create_engine
import config
conn = config.conn
cur = config.cur
tickers = config.ticker
for x in tickers:
ticker = x
cur.execute("""select closetime,lastprice,highprice,lowprice from binance.ticker_da... | true |
656333457e18391d8ae8c453afcb80b07b76e163 | Beat30/Exercise_CS1 | /3_9gamow.py | UTF-8 | 1,148 | 3.484375 | 3 | [] | no_license | from itertools import permutations
dict={}
a=1
for i in range(0,4):
for j in range(0,4):
for k in range(0,4):
dict[a]=[i,j,k,(j+2)%4]
a+=1
###delete double solutions
for i in range(1,64):
for j in range(i+1,65):
try:
if (dict[i][0]==dict[j][0])... | true |
62e749462e3e4d76e12c2fb5562474ebf95a7a0b | litufu/data_extract | /getdata/get_companylist.py | UTF-8 | 1,490 | 2.96875 | 3 | [] | no_license | # _author : litufu
# date : 2018/4/19
import pandas as pd
import tushare as ts
from sqlalchemy import create_engine
engine = create_engine(r'sqlite:///H:\data_extract\db.sqlite3')
# engine = create_engine('postgresql://postgres:123456abc@localhost:5432/companyvalue')
#create_engine说明：dialect[+driver]://user:password@h... | true |
2394777b40d434de21b51e709b9a7d464fa85cdc | rgrchen/datamined | /examples/simple_economy.py | UTF-8 | 3,280 | 3.3125 | 3 | [
"MIT"
] | permissive | # Provides an example of a dummy cryptoeconomy. This economy is created by a
# number of miners/users bringing on-board data onto the network. Miners are
# rewarded for their cryptoeconomic with coin issuances. Next, a number of
# compute nodes enter the economy. Note that compute nodes start with empty
# wallets. Sequ... | true |
7cb8b2cf88eab6e8cdf984b39b0042ecb60c723f | pip-services3-python/pip-services3-commons-python | /pip_services3_commons/refer/IReferences.py | UTF-8 | 6,129 | 3 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
pip_services3_commons.refer.IReferences
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Interface for references components.
:copyright: Conceptual Vision Consulting LLC 2018-2019, see AUTHORS for more details.
:license: MIT, see LICENSE for more details.
"""
from abc im... | true |
0eaa7da8200cba831c95f3e53cb88960ec13462b | raghav-mundhra/Dialogflow-flask-application | /forms.py | UTF-8 | 1,507 | 2.546875 | 3 | [] | no_license | from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from wtforms import StringField, PasswordField, SubmitField, BooleanField, IntegerField, SelectField
from wtforms.validators import DataRequired, Length, Email, EqualTo
from functions import getEntities, getIntents
class add_intent... | true |
1136dd0164d69d68f9ff793c69bda3280a3f5cce | desertzk/pythondemo | /ROC/precition_recall_graph.py | UTF-8 | 1,749 | 3.3125 | 3 | [] | no_license |
import matplotlib.pyplot as plt
truelist =["A","B","C","D","E","F","G","H","I","J"]
L1=["A","L","B","N","O","P","Q","C","S","T","D","V","W","X","Y"]
L2=["K","A","M","N","O","B","Q","R","S","T","C","V","W","X","D"]
plist = []
rlist = []
i = 0
for item in L1:
i = i + 1
tempL1 = L1[0:i]
sameitem = set(temp... | true |
3eb5d1ea46e29001d0f97d9300e96024796586f1 | majota2021/pyhon-tuto | /02 strings/TP2 string.py | UTF-8 | 1,152 | 3.796875 | 4 | [] | no_license | # indexing
s = " hello world"
# 012345678910
# -9-8-7-6-5-4-3-2-1
print(s)
print (s[0]) # elelment de S dont l indice egal a 0
print (s[1])
print (s[2])
print(s[-5])
print(s[-1])
z = "sidi kacem" + " abdo"
print(z)
z = "sidi kacem" + s
print(z + " python")
print(z)
z = s*3
print(z)
# slissing: extrir de sous string... | true |
0d9358f1ec0f56ebeb0b1f1da7fad3a9c8fdb6ae | epsagon/epsagon-python | /epsagon/runners/flask.py | UTF-8 | 2,995 | 2.65625 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | """
Runner for a Flask Python function
"""
from __future__ import absolute_import
import os
import uuid
from ..event import BaseEvent
from ..utils import add_data_if_needed, normalize_http_url
from ..constants import EPSAGON_HEADER_TITLE
class FlaskRunner(BaseEvent):
"""
Represents Python Flask event runner.... | true |
2e4611aba6b32674bbd89a4aa658b14de4d7a41d | Deiz/registry | /scripts/scrape.py | UTF-8 | 2,022 | 2.78125 | 3 | [] | no_license | import urllib
import json
import time
from bs4 import BeautifulSoup
# We'd so like not to have to scrape this and just use the API but we can't ...
# http://developer.github.com/changes/2013-10-18-new-code-search-requirements/
def get_list_from_github():
url = 'https://github.com/search?q=name+extension%3Ajson+pa... | true |
7b6f5a2c4451a8fed5c3a0cfabb6422fe10b0836 | masalomon01/invcrawler | /crawler.py | UTF-8 | 5,902 | 2.515625 | 3 | [] | no_license | import csv
import requests
from bs4 import BeautifulSoup
from requests import get
import config
import csv
import unidecode
import os
import time
def get_soup(url):
response = get(url)
response = response.text.encode('utf-8')
html_soup = BeautifulSoup(response, 'html.parser')
return html_soup
def cs... | true |
7cf402c9d176c7146a198abc5ca66d7a11858434 | MaevaLC/BillyValuation | /Graph_anytree.py | UTF-8 | 1,560 | 3.140625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri May 12 13:51:00 2017
@author: m.leclech
"""
#import
import json
from pprint import pprint
from anytree import Node, RenderTree
#open the file with the annotated text
with open('annotatedText.json', 'r') as f:
annotatedText = json.load(f)
#these node need to be declared... | true |
227068b6719dcbd997fe8ebae0f799ccb8f9f01d | jhare96/Deepspeech | /tests/test_clipped_relu.py | UTF-8 | 928 | 2.5625 | 3 | [] | no_license | import tensorflow as tf
import os
def relu_clipped(x, clip=20):
return tf.minimum(tf.maximum(x, 0.0), clip)
def test_relu_clipped():
config = tf.ConfigProto(allow_soft_placement=True) # Allow automatic CPU placement if GPU kernel not availiable
config.gpu_options.allow_growth = True # Allow GPU grow... | true |
1f202d1148637f9249cc4dbc854a1d085f612a88 | j0e1in/advent_code | /day3_count_trees.py | UTF-8 | 631 | 3.453125 | 3 | [] | no_license | import math
with open("input/day3.txt") as f:
grid = [[c for c in l] for l in f.read().split("\n") if l]
for i in range(len(grid)):
assert len(grid[0]) == len(grid[i]), f"{i}: {len(grid[0])} != {len(grid[i])}"
print(f"Board size: {len(grid)} x {len(grid[0])}")
def count_trees(inp, steps):
x, y = 0, 0
... | true |
0aa78980565e258b6438c8b962b75802f6163ddd | jeffleon/Analitica | /app/models.py | UTF-8 | 1,320 | 2.703125 | 3 | [] | no_license | from app import db
# from passlib.hash import pbkdf2_sha256 as sha256
import bcrypt
# class Role(db.Model):
# __tablename__ = 'roles'
# id = db.Column(db.Integer, primary_key=True)
# name = db.Column(db.String(64), unique=True)
# users = db.relationship('User', backref='role')
# def __repr__(self)... | true |
1ef95d544c3dbccb33d2547a5a01c0247d46b66b | mampersat/minions | /esp8266/bbq/turkey.py | UTF-8 | 886 | 2.890625 | 3 | [] | no_license | """
turkey.py
read the turkey temperature from mqtt bus and display on front of house
"""
import paho.mqtt.client as mqtt
def on_connect(client, userdata, flags, rc):
print("Connected with result code "+str(rc))
# the esp8266 with the temperature probe in the turkey
client.subscribe("/bbq/esp8266_7f35d5... | true |
03f53c318fc63ee3fb8bd565bf2f38990d83f88f | Avator-Chese/Computional-Physics | /Code/main.py | UTF-8 | 4,242 | 2.78125 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
from random import randint, random
#==============================================================
N = 20
steps = 10 * N
N_T = steps
J = 1
T = np.linspace(0.01, 10, N_T)
def initial_state(start='Low'):
if start == 'High':
state = np.zeros(N)
for ... | true |
9586ac212c09816705959e0ca0b55ea37daea95d | kaurharjeet/CompletePythonDeveloperCourse | /Python3Udemy/BitManipulation.py | UTF-8 | 142 | 3.4375 | 3 | [] | no_license | x = 0b10101
y = 0b01101
print(x)
print(y)
def f(n):
print('{:08b}'.format(n) + ' = ' + str(n))
f(x)
f(y)
f(x&y)
f(x|y)
f(x>>2)
f(y<<3)
| true |
02530ed3881fe146cad15ba9e9aa13ae5d2b9823 | hjqjk/python_learn | /Learning_base/main/thread_demo/producer_consumer2.py | UTF-8 | 1,100 | 3.046875 | 3 | [] | no_license | #!/usr/bin/env python
#_*_ coding:utf-8 _*_
#生产者和消费者模型，还不是很理解
#最大特点：效率高（异步），解耦合
import threading
import random
import time
import Queue
def Producer(name,queue):
while True:
if queue.qsize() < 3:
queue.put('包子')
print '%s:make a 包子... ----------' %(name,)
... | true |
e013aff01f914c5f1a2a4075fda566f2d4a4641e | Hilldrupca/LeetCode | /python/Monthly/Nov2020/tests/test_slidingwindowmaximum.py | UTF-8 | 1,656 | 3.1875 | 3 | [] | no_license | import unittest, sys
sys.path.append('..')
from slidingwindowmaximum import Solution
class TestSlidingWindowMaximum(unittest.TestCase):
def setUp(self):
self.s = Solution()
def test_max_sliding_window(self):
case_one = {'nums': [1,3,-1,-3,5,3,6,7],
'k': 3}
... | true |
f8d1bc4a1c33a41e5418a97e1f1caebb0a022f22 | adenizkorkmaz/chatbot-poc | /main.py | UTF-8 | 1,317 | 2.796875 | 3 | [] | no_license | from conversation import Conversation
from tags import Tag
from intents import Intent
from footprint import Footprint
import yaml
def load_data(file):
data = None
with open(file) as resource:
data = yaml.load(resource, Loader=yaml.FullLoader)
tags = list(map(
lambda t: Tag(t.get('... | true |
f9a3a265c5dc580c7de8498cb5bcc1dbc6201733 | PGuajardo/python-exercises | /data_types_and_variables.py | UTF-8 | 2,402 | 3.859375 | 4 | [] | no_license | #You have rented some movies for your kids: The little mermaid (for 3 days), Brother Bear (for 5 days,
# they love it), and Hercules (1 day, you don't know yet if they're going to like it).
# If price for a movie per day is 3 dollars, how much will you have to pay?
#Movies['little mermaid', 'brother bead', 'hercules... | true |
2b7b96ebaaba2534996388adf692fe030245d862 | gdobler/cuip | /cuip/variability/Assorted/plot_ternary.py | UTF-8 | 5,434 | 2.9375 | 3 | [] | no_license |
import ternary
import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
plt.style.use("ggplot")
def color_point(x, y, z, scale):
"""Dummy function to create heatmap (background)."""
val = 225. / 255
return (val, val, val, 1.)
def generate_heatmap_data(scale=5):
... | true |
f53e19d174c6d6e8e2bf5703d15ad49263c8b4f2 | Kawser-nerd/CLCDSA | /Source Codes/CodeJamData/16/12/20.py | UTF-8 | 332 | 2.890625 | 3 | [] | no_license | #!/usr/bin/env python
import itertools
def main():
for t in xrange(1, 1 + int(raw_input())):
print 'Case #%d:' % t,
N = int(raw_input())
s = set()
for _ in xrange(2 * N - 1):
a = map(int, raw_input().split())
s ^= set(a)
print ' '.join(map(str, sorted(s)))
assert len(s) == N
if __name__ == '__main_... | true |
349e480efe58f8093e12cbf5981c89a4171cc505 | jpchiodini/SentimentAnalysis | /SentimentAnalysis/DataClean.py | UTF-8 | 3,081 | 2.984375 | 3 | [] | no_license | # import modules necessary for all the following functions
import re
import pandas as pd
from sklearn import preprocessing
import json
from RAKE import Rake
import operator
from nltk.corpus import stopwords
import string
import json as json
from datetime import datetime
def readJson(filename):
"""
reads a json... | true |
68c80f758cdb07b904e160af29f8482600bfa5e7 | emthompson-usgs/strec | /strec/slab.py | UTF-8 | 6,558 | 2.578125 | 3 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-public-domain-disclaimer",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | # stdlib imports
import os.path
import glob
# third party imports
from mapio.gmt import GMTGrid
import numpy as np
import pandas as pd
MAX_INTERFACE_DEPTH = 70 # depth beyond which any tectonic regime has to be intraslab
# Slab 1.0 does not have depth uncertainty, so we make this a constant
DEFAULT_DEPTH_ERROR = 10... | true |
c65d77c28af1b3969ad40f13da576032f11f7ac4 | zhaizhai/syw | /display.py | UTF-8 | 9,264 | 2.71875 | 3 | [] | no_license | #!/usr/bin/env python
import pygtk
pygtk.require('2.0')
import gobject
import pango
import gtk
import math
import time
from gtk import gdk
try:
import cairo
except ImportError:
pass
if gtk.pygtk_version < (2,3,93):
print "PyGtk 2.3.93 or later required"
raise SystemExit
from core import *
from rules... | true |
8e124ccc8de1680b62c4546d6077bc52c9cc59a4 | alswlsghd320/CycleGAN_Pytorch | /test.py | UTF-8 | 4,587 | 2.546875 | 3 | [] | no_license | import argparse
import os
from PIL import Image
import tqdm
import torch
import torchvision.transforms as transforms
from torchvision.utils import save_image
from torch.utils.data import DataLoader
from dataset import ImageDataset
from model import Generator
parser = argparse.ArgumentParser()
parser.add_argument("--... | true |
2348f05156bd24dad7085ce71304df5204b93029 | avigad/boole | /boole/core/conv.py | UTF-8 | 5,457 | 2.90625 | 3 | [
"Apache-2.0"
] | permissive | #############################################################################
#
# conv.py
#
# description: Compute and compare normal forms.
#
#
# Authors:
# Cody Roux
#
#
##############################################################################
from expr import *
import info
def head_beta(expr):
"""Perform... | true |
9127f646e2cd7902249495114bb2647baeec4825 | Simo0o08/DataScience_Assignment | /Ass-9/2.py | UTF-8 | 317 | 3.234375 | 3 | [] | no_license | #3. Convert summer column with appropriate function to number
from sklearn.preprocessing import LabelEncoder
import pandas as pd
le = LabelEncoder()
df=pd.read_csv(r"C:\Users\abc\Documents\Training Data science\datasets\weatherHistory.csv")
df['Summary']=le.fit_transform(df['Summary'])
print(df['Summary'])
| true |
ae48c017861526d5fd6a4724e40c34a85ecba7b9 | AnishHemmady/Data-Struct-Python | /recur_stack.py | UTF-8 | 792 | 3.265625 | 3 | [] | no_license | import pdb
def insrt_below(stack,ele):
pdb.set_trace()
if is_chck_empty(stack)==True:
push(stack,ele)
else:
temp=pops(stack)
insrt_below(stack,ele)
push(stack,temp)
def reverse(stack):
pdb.set_trace()
if is_chck_empty(stack)==False:
new=pops(stack)
reverse(stack)
insrt_below(stack,new)
def cre... | true |
7287a3fbb6088c7c656b2af2fb20893a5323de17 | andrejaana/Semantic-Emotion-Neural-Network | /SENN/evaluate.py | UTF-8 | 3,511 | 2.53125 | 3 | [] | no_license | from sklearn.metrics import confusion_matrix
from sklearn.metrics import classification_report
import numpy as np
import pandas as pd
from keras.models import load_model
from tensorflow.python.keras.preprocessing.sequence import pad_sequences
import pickle
from sklearn.utils import shuffle
def transform_labels(labels... | true |
2652152f251f2b5030d95a98ecd0e5916f69afbd | alexdenker/hdc2021_LGD | /deblurrer/model/AnisotropicDiffusion.py | UTF-8 | 4,364 | 3.03125 | 3 | [] | no_license | import torch
import torch.nn as nn
class PeronaMalik(nn.Module):
def __init__(self, kappa, option = 2):
"""
kappa: float
Conduction coefficient. ``kappa`` controls conduction
as a function of the gradient. If ``kappa`` is low small intensity
gradients are able t... | true |
ec2579523a1009a5acc34e7bdeb0c91d96bec868 | sreejithev/thinkpythonsolutions | /c8/slice.py | UTF-8 | 101 | 3.109375 | 3 | [] | no_license | fruit = 'banana'
print fruit[0:6]
print fruit[:3]
print fruit[3:]
print fruit[:-1]
print fruit[::-1]
| true |
c19cf8e8471b331cbd4bfd796011a52629be094b | syntaxmonkey/Thesis | /PycharmProjects/geodesic/FilledPolygon.py | UTF-8 | 1,107 | 3.28125 | 3 | [] | no_license | from PIL import Image, ImageFont, ImageDraw
import numpy as np
def genLetter():
boxsize = 100
fontsize = int(boxsize * 0.8)
img = Image.new('RGB', (boxsize, boxsize), color=(255, 255, 255))
# get a font
character = 'P'
font = ImageFont.truetype("/System/Library/Fonts/Keyboard.ttf", fontsize)
width, height = ... | true |
36166e51d2b1e1dbff16d9229d6bd58cccea7fd6 | prem-jeet/data-structure-and-algorithm | /Data structure/Linked List/circular_link_list/python/circularLL.py | UTF-8 | 3,367 | 4.125 | 4 | [] | no_license | class Node:
def __init__(self, data):
self.data = data
self.next = None
class circularLL:
def __init__(self):
self.head = None
self.count = 0
# METHOD TO INSERT AT BEGINNING
def insert_at_beginning(self, data):
new_node = Node(data)
new_node.next = new_... | true |
f034bbb026b943311eedf981fc5ef37ee76d7154 | samuela/e-stops | /research/estop/frozenlake/run_value_iteration.py | UTF-8 | 4,741 | 2.59375 | 3 | [] | no_license | import matplotlib.pyplot as plt
import numpy as np
from research.estop.frozenlake import frozenlake
from research.estop.frozenlake import viz
def build_env(lake: frozenlake.Lake):
# return frozenlake.FrozenLakeEnv(lake, infinite_time=False)
return frozenlake.FrozenLakeWithEscapingEnv(lake,
... | true |
63e8d1e6a223a92384adeb68d08ab4af474d71d5 | jakelorah/highschoolprojects | /Senior(2018-2019)/Python/Chapter 5/mystery.py | UTF-8 | 261 | 3.703125 | 4 | [] | no_license | #Name: Jake Lorah
#Date: 11/13/2018
#Program Name: mystery.py
y = 8
def main() :
x = 4
x = mystery(x + 1)
print(x)
def mystery(x) :
s = 0
for i in range(x) :
x = i + 1
s = s + x
return s
main()
| true |
1d8e6522f31c541aea1d785aa5fd9d9f76496d2d | crisfelip/programacion1 | /clases/ciclofor.py | UTF-8 | 1,841 | 3.84375 | 4 | [] | no_license | for iteracion in range (10):
print (iteracion)
print ('#'*60)
#se ven los numeros desde el 0 al 9
for iteracion in range (10):
print (iteracion+1)
print ('#'*60)
# se ven los numeros del 1 al 10
for iteracion in range (1,11):
print(iteracion)
print ('#'*60)
#se ven del 1 al 10
for iteracion in range (1,1... | true |
49beb02aecdd5282b0d3904410ef9ee6fb5d0067 | elemaryo/Leetcode-problems | /missing letter.py | UTF-8 | 266 | 3.046875 | 3 | [] | no_license | import math
import os
import random
import re
import sys
def missing(s,t):
ans = ""
for letter in s: #O(n)
if letter not in t: #O(1)
ans += letter
for letter in ans: #O(n)
print(letter)
missing("abcde", "abce") | true |
e03ad3c1f4706052a94c85289c261e1d96279799 | nesl/Nurture-UbiTtention18 | /agent/base_agent.py | UTF-8 | 4,576 | 3.046875 | 3 | [
"BSD-3-Clause"
] | permissive | from constant import *
from human_modeling_utils import utils
class BaseAgent:
"""
There are two operating modes for an agent. The first is iteractive operating mode, which
follows a standard state-action-reward sequence. It can be used in on-policy learning. The
second mode is batch operating mode. ... | true |
f63ab6d38ba642c2f3bcc006d2fb06151515d9ad | sathish0706/guvi-codekata | /Array/55.py | UTF-8 | 140 | 3.40625 | 3 | [] | no_license | n = input()
odd = ""
even = ""
for i in range(len(n)):
if i % 2 == 0:
even += n[i]
else:
odd += n[i]
print(even,odd) | true |
e87e46c4e013c3b4b4a0e642d6f39e3eb1d24980 | lavesh11/4-4-TicTacToe | /game.py | UTF-8 | 3,240 | 3.34375 | 3 | [
"MIT"
] | permissive | import random
import time
import sys
EMPTY = 0
PLAYER_X = 1
PLAYER_O = 2
DRAW = 3
BOARD_FORMAT = "-----------------------------------------\n| {0} | {1} | {2} | {3} |\n|---------------------------------------|\n| {4} | {5} | {6} | {7} |" \
"\n|---------------------------------------|\n| {8} | {9} | {10... | true |
f454897ff0805e5585b41df7520197d405020b0d | shweta4377/GNEAPY19 | /venv/Session3A.py | UTF-8 | 1,076 | 3.78125 | 4 | [] | no_license | """
billAmount = float(input("Please Enter Amount: "))
# GST@18% needs to be calculated
tax = billAmount * (18/100)
print("For {} amount taxes are {}".format(billAmount, tax))
print()
billAmount = float(input("Please Enter Amount: "))
# GST@18% needs to be calculated
tax = billAmount * (18/100)
print("For {} amount t... | true |
4fef004fc140a99882a1932022958b63b98550a9 | vta/Employee-Resource-Guide | /deguide.py | UTF-8 | 5,072 | 2.859375 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: latin-1 -*-
import sys, os
from os.path import relpath
import shutil, errno
import json
sys.path.append('libs')
import markdown
RESOURCES_DIR = None
def build_page(item, out_dir):
p_name = str('None' if item['name'] is None else item['name'])
rel_path = os.path.join(out_dir,... | true |
793dc6605442947c307538c0b98a81cd935f5759 | Sudhakaran7/missingKthElement | /Kthelement.py | UTF-8 | 499 | 2.84375 | 3 | [] | no_license | class Solution:
def findKthPositive(self, arr,k) -> int:
if not arr:
return 1
if k>arr[-1]:
return k+len(arr)
i=1
arr=set(arr)
cur=-1
while i<=3000 and k>0:
if i in arr:
i+=1
else:
cur... | true |
45fb84862d722c545c9ddb4c21e670ce5798b500 | mohandutt134/mongorm | /mongorm/base.py | UTF-8 | 15,172 | 2.578125 | 3 | [
"Apache-2.0"
] | permissive | import re
import pymongo
import datetime
from .errors import ORMException
from .meta import ModelMeta, DbDictClass, ModelDefinition
from .datatypes import ObjectId, ID, Boolean, DataType, List, Dict
class ModelBase(ModelDefinition):
__baseclass__ = True
__metaclass__ = ModelMeta
_id = ID(nullable=False)... | true |
19ec6387a2a3246f3837f3b3e36164c1d80fc686 | jennings1716/deep_learning | /hot-word-detector/Run keras model in ML Engine/trainer/hotword_with_keras.py | UTF-8 | 3,396 | 2.59375 | 3 | [] | no_license | from keras.callbacks import ModelCheckpoint
from keras.models import Model, load_model, Sequential
from keras.layers import Dense, Activation, Dropout, Input, Masking, TimeDistributed, LSTM, Conv1D
from keras.layers import GRU, Bidirectional, BatchNormalization, Reshape
from keras.optimizers import Adam
import numpy as... | true |
0aa83284bd4694deab0095cb4fbd5ca3dfd4d721 | AlexisEidelman/Insalubrite | /insalubrite/Sarah/date_de_l_affaire.py | UTF-8 | 1,466 | 2.734375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Quelle date de l'affaire conserver?
"""
import os
import pandas as pd
from insalubrite.Sarah.read import read_table
hyg = read_table('affhygiene')
cr = read_table('cr_visite')
hyg = hyg[hyg.affaire_id.isin(cr.affaire_id)]
cr.date.value_counts(dropna=False)
len(cr)
cr.date_creation.value... | true |
88aeb4670bb77d75e80c4b73b9998244d1b548bb | hubo00/2nd-Year-Project | /Tests/testshubert/webDriver/test_Categories.py | UTF-8 | 5,728 | 3 | 3 | [] | no_license | """
Hubert Bukowski | x00161897
2nd Year Project | PlantOasis eCommerce store
Categories page tests
"""
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
DRIVER_PATTERNS = [
(webdriver.Chrome("D:\\Selenium\\Drivers\\chromedriver.exe")),
(webdriver.Edge("D:\\Selenium\\D... | true |