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 |
|---|---|---|---|---|---|---|---|---|---|---|
57f600f47fa9a39db14f3d2e11372c2b961dac6d | feluxerich/FastVueAuth | /app/user/models.py | UTF-8 | 690 | 2.546875 | 3 | [] | no_license | import uuid
from datetime import datetime
from sqlalchemy import Column, Integer, String, Boolean
from sqlalchemy.types import DateTime
from app.database import Base
class User(Base):
__tablename__ = "users"
id = Column(Integer, primary_key=True, index=True)
public_id = Column(String(36), unique=True)
... | true |
c1a85c1735149618e45ce2f0073ef880ddb83cbb | DisappearedCat/Algorithms_bybook | /ShellSort.py | UTF-8 | 823 | 3.515625 | 4 | [] | no_license | def sort(data):
h = 1
while h < len(data) / 3:
h = 3 * h + 1
while h >= 1:
for i in range(h, len(data)):
for j in range(i, h - 1, -h):
if data[j] < data[j - h]:
data[j], data[j - h] = data[j - h], data[j]
else:
... | true |
c35cac0d3b4fd1616c0e342352fcb78cbe12b240 | Zhen-1225/PAPA | /0414(4).py | UTF-8 | 559 | 3.234375 | 3 | [] | no_license | class Head:
def __init__(self,size):
self.size=size
class Body:
def __init__(self,volume):
self.volume=volume
class Hand:
def __init__(self,lenth):
self.lenth=lenth
class leg:
def __init__(self,width):
self.width=width
class Person:
def __init__(self,head,body,rh,lh,... | true |
2fc625b009c4971ad1530cebcf07dccda5c39d7b | liviaasantos/curso-em-video-python3 | /mundo-1/ex025.py | UTF-8 | 215 | 3.375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 3 20:06:53 2021
@author: Livia
"""
name = input('Qual seu nome completo? ')
n = name.strip().upper().split(' ')
print('Seu nome tem Silva? {}'.format('SILVA' in n))
| true |
8c5c1b0ed0007990fc2027e6e35ed5d59a10a761 | bloomberg/phabricator-tools | /py/abd/abdt_rbranchnaming.py | UTF-8 | 6,869 | 2.90625 | 3 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | """Branch naming conventions for 'r/base/description' style."""
# =============================================================================
# CONTENTS
# -----------------------------------------------------------------------------
# abdt_rbranchnaming
#
# Public Classes:
# Naming
# .make_tracker_branch_from_na... | true |
84d537bf0276041161f82c4dbd986b114e4c902f | iangornall/week1 | /string/caesar.py | UTF-8 | 407 | 3.796875 | 4 | [] | no_license | encoded = raw_input("Encoded string: ")
decoded = ""
for char in encoded:
ascii_code = ord(char)
if (ascii_code > 64 and ascii_code < 78) or (ascii_code > 96 and ascii_code < 110):
decoded += chr(ascii_code + 13)
elif (ascii_code > 77 and ascii_code < 91) or (ascii_code > 109 and ascii_code < 123):
... | true |
53451800a9a0aced6afe0d3420ce941f16f01c49 | fishenm1/PFB_problemsets | /Python4/Q2.py | UTF-8 | 281 | 3.640625 | 4 | [] | no_license | #!/usr/bin/env python3
taxa = 'sapiens, erectus, neanderthalensis'
print(taxa)
print(taxa[1])
print(type(taxa))
print (taxa.split(', '))
species = (taxa.split(', '))
print(species[1])
print(type(species))
species.sort()
print(species)
print(sorted(species, key=len))
| true |
9522a0c4abc64445d9a95a324893f48b76ca7ae3 | yuewenz/Machine-Learning-Assignment-Summary | /Assignment3/nb.py | UTF-8 | 3,168 | 2.890625 | 3 | [] | no_license | '''
File: nb.py
Project: Downloads
File Created: March2021
Author: Yuzi Hu (yhu495@gatech.edu)
'''
import numpy as np
from sklearn.feature_extraction import text
from sklearn.model_selection import train_test_split
import pandas as pd
RANDOM_SEED = 5
class NaiveBayes(object):
def __init__(self):
pass
... | true |
8a53497d0132788f45e1a3f8a6997d8761eb0fb7 | barbara-favadacosta/kanban_board | /kanban.py | UTF-8 | 9,774 | 2.609375 | 3 | [] | no_license | from flask import Flask, render_template, request, redirect, url_for, flash, session
from flask_sqlalchemy import SQLAlchemy
from wtforms import Form, BooleanField, TextField, PasswordField, validators
import os
from werkzeug.security import generate_password_hash, check_password_hash
import bcrypt
from flask_login imp... | true |
e60c99585d3949265b42236f3cc0b8a62441252b | mksy61/python | /learn/dd/pd3.py | UTF-8 | 478 | 3.03125 | 3 | [
"CC0-1.0"
] | permissive | import pandas
ulkeler = pandas.read_csv("pd_ulkeler.csv", squeeze=True)
nufus = pandas.read_csv("pd_ulkenufus.csv", squeeze=True)
print(len(ulkeler))
print(len(nufus))
print(sorted(ulkeler))
x = dict(zip(ulkeler, nufus))
print(ulkeler[4])
print(ulkeler[3:5])
print(nufus.count())
def d(x):
if x < 40:
... | true |
45ac944938bc4ef044cab098c83eecd760a6265a | mustangman578/MAPCP2019U | /homework/4/test_newton.py | UTF-8 | 968 | 3.421875 | 3 | [] | no_license | def Newton(f, dfdx, x, eps=1E-7, maxit=100):
if not callable(f): raise TypeError( 'f is %s, should be function or class with __call__' % type(f) )
if not callable(dfdx): raise TypeError( 'dfdx is %s, should be function or class with __call__' % type(dfdx) )
if not isinstance(maxit, int): raise TypeError( 'm... | true |
804d929e289d5023b64f9b030264e0def8f7f905 | vccabral/mosaic-generator | /mosaic.py | UTF-8 | 2,887 | 2.890625 | 3 | [] | no_license | import os
import random
import itertools
import numpy
import argparse
import shutil
from PIL import Image, ImageOps
from clint.textui import progress, colored
def nearest_neighbour(color, color_data):
color = color[:3]
indexes = color_data.keys()
other_colors = color_data.values()
colors_array = num... | true |
0f70bf29bc4e588d8bed1fc462bcbc083681b61c | ee359-data-mining-technique/Trading-strategy-based-on-reinforcement-learning | /ENV/StockEnv.py | UTF-8 | 4,861 | 3.375 | 3 | [] | no_license | '''
This file specify the stock price environment:
reset():
start from a random training day
step(action):
given an action, return a corresponding reward
return next_observation, reward, done
'''
FEATURE_COLS = ["indicator1", "indicator2", "indicator3", "indicator4", "indicator5", "indic... | true |
6b9b5d6c43f6518ac38c3679bd6632b72ee432cd | cstuartroe/thesis | /code/alignment.py | UTF-8 | 4,566 | 2.71875 | 3 | [] | no_license | from collections import namedtuple
from tqdm import tqdm
from .general import *
InflectionShapes = namedtuple('InflectionShapes', ['prefix', 'infix', 'alternation', 'suffix'])
PAD_CHR = '$'
def hamming_distance(s1, s2):
assert(len(s1) == len(s2))
# lol code golfing it up
return sum([c1 != c2 for c1, c2 ... | true |
e92a0f6464b050f078da62f065b178926d148864 | szho42/tensortrade | /tests/tensortrade/base/test_core.py | UTF-8 | 743 | 2.90625 | 3 | [
"Apache-2.0"
] | permissive |
from tensortrade.base.core import TimedIdentifiable
class ExampleTimedIdentifiable(TimedIdentifiable):
def __init__(self, msg):
self.msg = msg
class Environment(TimedIdentifiable):
def __init__(self):
pass
def step(self):
self.clock.increment()
def test_basic_init():
e... | true |
eca75ac7bf8dc751b456fb9dd7a46c6a23c32913 | yaml2sbml-dev/yaml2sbml | /yaml2sbml/YamlModel.py | UTF-8 | 25,973 | 2.953125 | 3 | [
"MIT"
] | permissive | """A Model Editor for creating YAML models."""
import yaml
import os.path
import copy
from typing import Union
from pathlib import Path
from .yaml2sbml import _parse_yaml_dict, _load_yaml_file
from .yaml2PEtab import _yaml2petab
from .yaml_validation import _validate_yaml_from_dict
class YamlModel:
"""Functional... | true |
958401af99eda039b8336a8d1335bf74d1f43530 | DJacobo/InteractivePython | /IP_Ch3_22_OrderedList.py | UTF-8 | 4,058 | 3.671875 | 4 | [] | no_license | class MyOrderedList():
def __init__(self):
self.head = None
self.count = 0
def add(self, item):
newNode = myNode(item)
if self.isEmpty() or self.head.getData() > item:
newNode.setNext(self.head)
self.head = newNode
else:
prev = self.he... | true |
2552a2929dd83d167c77f0cbe5244aef6cd5bb9b | geradcoles/lib7shifts | /lib7shifts/daily_sales_labor.py | UTF-8 | 1,923 | 3.203125 | 3 | [] | no_license | """
API methods to access the daily_sales_and_labour API endpoint. See the
following for more details:
https://developers.7shifts.com/reference/getdailysalesandlabor
"""
ENDPOINT = '/v2/reports/daily_sales_and_labor'
def get_daily_sales_and_labor(client, **params):
"""Make an API call against the daily_sales_and... | true |
d334c85ba35d061194790ff69e862df734668316 | revythas/FastAPI_EuroConvension | /app/app.py | UTF-8 | 3,888 | 3.046875 | 3 | [
"MIT"
] | permissive | import json
import os
import sys
from datetime import date, datetime, timedelta
from typing import Optional
from pydantic import BaseModel
import httpx
import redis
from dotenv import load_dotenv
from fastapi import FastAPI
load_dotenv()
class Item(BaseModel):
price: float
currency: str
date : Optional[st... | true |
d734d3bdd45321c339154a9ac76d4467daff33ee | hjs90911/1804_Learning_MachineLearning | /Day_3/svc_test.py | UHC | 1,607 | 3.0625 | 3 | [] | no_license | # -*- coding: ms949 -*-
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
cancer = load_breast_cancer()
X_train, X_test, y_train, y_test = train_test_split(cancer.data, cancer.target, random_state=0)
svc = SVC()
svc.fit(X_train, y... | true |
6c23b3bb43a6834aa88e1f3b01ba3f72c874271d | ANKITPODDER2000/LinkedList | /31_linked_list_modulo.py | UTF-8 | 446 | 3.421875 | 3 | [] | no_license | from LinkedList import LinkedList
from LinkedListHelper import CreateLinkedList
def get_ans(head , k):
ans = None
c = 1
while head:
if c % k == 0:
ans = head
head = head.next
c += 1
return ans.val
def main():
l1 = LinkedList()
CreateLinkedList(l1)
k = int(... | true |
591f2807fc29bea9423050cca3e8b9c8fe664df2 | FrancescoBettazzi/BayesianNetwork | /beliefTable.py | UTF-8 | 46,407 | 3.125 | 3 | [] | no_license | class BeliefTable(object):
def __init__(self, variables, table):
# variables = a list of strings (names of variables)
# table = a list of list of float (representing a table)
# conditioned = a boolean (for separate joint prob from conditioned prob)
self.variables = variables
... | true |
dc936cb01466ed3d7f2d460e8ae55f19e0a23cb8 | razvanmarinescu/gcv_indiv_proj | /code/input_nets/convert_all_to_gw.py | UTF-8 | 603 | 2.703125 | 3 | [] | no_license | #! /usr/bin/env python
# usage: python convert_to_gw <folder> <start_year> <end_year>
# converts all .undirected files from the specified folder to .gw years start_year to end_year
import os
import sys
NET_PATH_TRADE_ALL=sys.argv[1]
START_YEAR=int(sys.argv[2])
END_YEAR=int(sys.argv[3])
for net_nr in range(START_Y... | true |
c5c711849bf6bca116f805bfce69d32d33a5194d | famaxth/Way-to-Coding | /MCA Exam Preparations/Python/LAB/decimal to binary.py | UTF-8 | 154 | 3.625 | 4 | [] | no_license | number = int(input("Enter a decimal number : "))
binary = []
while number!=0:
binary.append(number%2)
number //=2
binary.reverse()
print(binary)
| true |
3e98cc5233eefcc4b18df4aa336bf04145dca4e0 | choyunseol/nyunnyu | /E-oN 7th hw/main.py | UTF-8 | 555 | 2.78125 | 3 | [] | no_license | import BookSystem
Run_system = BookSystem.System()
Run_system.selection()
out = input('프로그램을 종료하시겠습니까? 숫자를 입력하세요\n1. 예\n2. 아니요\n')
while True :
if out == '1' :
Run_system.auto_save()
break
elif out == '2' :
Run_system.selection()
out = input('프로그램을 종료하시겠습니까? 숫자를 입력하세요\n1. 예\n2... | true |
c4c34ef1721bbcb9a4932f12fe2b07aa3057409f | bjpaul/serverless-oauth | /common/crypto.py | UTF-8 | 627 | 2.546875 | 3 | [] | no_license | import json
import crypt
from common.config import Config
common = Config()
key = common.encryption_salt
def encrypt(data):
if common.enable_jti_encryption:
return crypt.crypt(json.dumps(data), key)
else:
return data
def validate(data, encrypted_data):
if common.enable_jti_encryption:
... | true |
96015ff870753575a81c38295c1b92968686c314 | Rossnhi/Python | /Coding Problems/valley.py | UTF-8 | 995 | 3.296875 | 3 | [] | no_license | def insertion_sort_d(l):
n=len(l)
for sort_end in range(n):
pos=sort_end
while pos>0 and l[pos]>l[pos-1]:
(l[pos],l[pos-1])=(l[pos-1],l[pos])
pos-=1
return(l)
def strict_descending(l):
n=len(l)
if n==0 or n==1:
return(5>6)
x=l[0:n]
insertion_sort_d(x)
if l==x:
return(5<6)
else:
... | true |
47c5809fa914cba87a7aadab92ffdfaa27dc142a | ShawK91/Naive_Bayes | /impl2_funcs.py | UTF-8 | 12,993 | 3.28125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 16 16:57:11 2016
@author: Brandon
"""
import math
import numpy as np
from collections import Counter
# Maybe we should get rid of "the" "a" "and" etc. removed from bag of words
# This is a global variable used to map a bagofwords number to a word
# see lo... | true |
61e3734303c3e18e39cbff3b259ce74cf3f871b0 | plainspooky/giovannireisnunes | /manipulando-xlsx-em-python/server.py | UTF-8 | 900 | 2.578125 | 3 | [] | no_license | from datetime import datetime
from random import randint
from tempfile import NamedTemporaryFile
from flask import Flask, Response
from openpyxl import Workbook
from openpyxl.utils.cell import get_column_letter
RAND = (1, 1000)
ROWS, COLS = 100, 100
DATE_FORMAT = "%Y%m%d_%H%M%S"
HTTP_MIMETYPE_XLSX = (
"applicat... | true |
e44c94fbd41ff2fb43c2c0eead4af72f2dd1be96 | aseth99/Webscraper | /experimenting and learning basics of webscraping/lambda_expressions.py | UTF-8 | 533 | 3.328125 | 3 | [] | no_license | # accessing attributes: v often we look not for tags but for attributes
# <a href=...> <img src=...> href attribute contains url, src attribute contains target image
# myTag.attrs, myImgTag.attrs['src'] python dictionary of objects
# lambda expression: fxn taht is into another fxn as a var
# f(x,y)-f(g(x),y) or f(g(... | true |
d8fd2d0b492ec2299fae7bec3815a299e3d4fc03 | bergpb/repositorio_aulas_tecnicas_programacao | /aula05/python_code/main.py | UTF-8 | 691 | 2.9375 | 3 | [] | no_license | from pessoa import Pessoa
from funcionario import Funcionario
from supervisor import Supervisor
from datetime import datetime as dt
data_nascimento = dt.strptime('2000-01-01', '%Y-%m-%d')
data_admissao =dt.strptime('2005-01-01', '%Y-%m-%d')
funcionario = Funcionario('Josh', '793.253.125-92', data_nascimento, data_ad... | true |
97cd594bb0140f34cad6d06df9366ec63ef77497 | TakutoYoshikai/emotion-chip | /livedoor.py | UTF-8 | 658 | 2.59375 | 3 | [] | no_license |
import glob
import os
dataset_dir = "./datasets/livedoor/"
dataset_files = list(map(lambda s:dataset_dir + s + "/*.txt", ["dokujo-tsushin","it-life-hack","kaden-channel","livedoor-homme", "movie-enter","peachy","smax","sports-watch","topic-news"]))
def load_dataset(path):
files = glob.glob(path)
print(files... | true |
88c888af18fe128cdbceecc070d46e950ef180f3 | 0NEPDEV/Hacktoberfest-2021 | /Python/addnumber.py | UTF-8 | 27 | 2.65625 | 3 | [] | no_license | a=3
b=5
add=a+b
print(add)
| true |
df9a3cc4ea572c0924b2119f68c28a33c5d4af9f | LeoLeeYEAH/GitWarehouse | /Postgraduate/Python/HBGA-benchmark/DE.py | UTF-8 | 5,254 | 2.703125 | 3 | [] | no_license | import numpy as np
import ea_common
import random
import matplotlib.pyplot as plt
import math
# 创建DE类
class DE:
# 构造方法
def __init__(self, size, dim, pos_max, pos_min, max_iter, func_no, F, CR):
# 种群大小
self.size = size
# 维度
self.dim = dim
# 搜索域上限
self.pos_max = p... | true |
512759ac61fd71508155d8dddb20888a469d8ed5 | i008/dsr-pytorch | /generate-shapes/test_generate_shapes.py | UTF-8 | 3,247 | 2.828125 | 3 | [] | no_license | import numpy as np
from numpy.testing import assert_array_equal, assert_equal
import pytest
from generate_shapes import generate_shapes
def test_generates_color_images_with_correct_shape():
images, _ = generate_shapes(
number_of_images=100, width=128, height=128, max_shapes=1)
assert len(images) == ... | true |
fe8a6962c63d254ac8f6cb2b64751428ce65bba4 | wangfin/QAsystem | /QAManagement/create_data.py | UTF-8 | 1,225 | 2.546875 | 3 | [] | no_license | #from .withweb import Withweb
import withweb
withweb = withweb.Withweb()
#myelas = elas.Elas()
# withweb.webinsert('qa_sys','机器学习的概念？','机器学习的概念？','机器学习真的是很厉害的工具。','www.bca.com','机器学习',2)
# withweb.webinsert('qa_sys','机器学习有什么价值？','机器学习有什么价值？','价值很高','www.bca.com','机器学习',3)
# withweb.webinsert('qa_sys','华为云服务器能做什么？','华为... | true |
1138cc75f0ef12f5a8448eb1d4349d6bf50eba03 | layoaster/compython | /p4/pmc.py | UTF-8 | 2,304 | 2.953125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
$Id$
Description: Main del Analizador Sintáctico de Pascal-.
$Author$ Lionel Aster Mena Garcia, Alejandro Samarin Perez, Sergio Armas Perez
$Date$
$Revision$
"""
import sys
import argparse
from error import *
from parser import SynAn
from html impo... | true |
2be8001393fd2a0142fddb29c0fae3dee1a41cbf | LouisBox/Gym-data-cleaning | /Data cleaning/Training log/gym training cleaning.py | UTF-8 | 3,129 | 2.84375 | 3 | [] | no_license | import pandas as pd
import numpy as np
import re
import datetime
import math
import os
from pandas import ExcelWriter
def replace_kg(n):
if pd.isna(n):
return n
elif "bw" in n.lower():
bw_indx = w.index[w["Weight"] == n].to_list()[0]
date = w["Date"].iloc[bw_indx]
... | true |
e93c1775c6f2b04d1d954df9148b8e94cc4909e9 | dEbAR38/ITMO_ICT_WebDevelopment_2020-2021 | /students/K33401/Klishin_Nikita/Lr_3/peer_review_system/accounts/forms.py | UTF-8 | 2,135 | 2.609375 | 3 | [
"MIT"
] | permissive | from django import forms
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from .models import CustomUser
from django.core.exceptions import ValidationError
from django.contrib.auth.forms import ReadOnlyPasswordHashField
class CustomUserCreationForm(forms.ModelForm):
"""
Переопределенная... | true |
a6e1ba84d1b1cecb04531023fdf3cc6b26eb78b8 | erkan-polat/python | /Python Class/w9_ex1.py | UTF-8 | 1,028 | 3.40625 | 3 | [] | no_license | from tkinter import *
def toplama():
a=e1.get()
b=e2.get()
c=float(a)+float(b)
print(c)
answer.configure(text = str(c))
def cikarma():
a=e1.get()
b=e2.get()
c=float(a)-float(b)
print(c)
answer.configure(text = str(c))
def carpma():
a=e1.get()
b=e2.get()
c=float(a)*fl... | true |
fc54aef6d9811f78aed8dcf72f761d3d43363386 | jitenadav/Smart-Expense-Manager | /arima_train.py | UTF-8 | 870 | 2.796875 | 3 | [] | no_license | # save finalized model
from pandas import read_csv
from statsmodels.tsa.arima.model import ARIMA
import numpy
# create a differenced series
def difference(dataset, interval=1):
diff = list()
for i in range(interval, len(dataset)):
value = dataset[i] - dataset[i - interval]
diff.append(value)
return diff
def tr... | true |
8878b05e93824a28eddc4bc60ecd1ee2efb54fb2 | paulo03/bitcoin_OFAC | /check_SDN_BTC_address_balance.py | UTF-8 | 953 | 2.71875 | 3 | [] | no_license | import SDN_List_Scrape_Crypto_Address
'''
Once this .py file is imported, its code is executed, and it's the source of our imported data read into variable 'df'
'''
import pandas as pd
import datetime
import requests
from bitcoin_explorer import Address
date = str(datetime.date.today())
csv = 'OFAC_CRYPTO_ADDRESS_CHE... | true |
f7d0fe49c36a11760b2dad7a7a2b2606a9c7a07f | lamida/kattis | /python/plan.py | UTF-8 | 205 | 3.0625 | 3 | [] | no_license | import sys
inn = sys.stdin
for line in inn:
n = int(line.strip())
last = 2
current = 0
for i in range(n):
current = last + (last-1)
last = current
print(current**2)
| true |
0a0e07860e314a78795ea062230cf9576b80b639 | haksung/project-euler | /3.py | UTF-8 | 136 | 3.0625 | 3 | [] | no_license | num = 600851475143
prime = 3
n = num
while prime < n:
if n % prime == 0:
n = n/prime
else:
prime += 2
print n
| true |
600702b155fe7b472a7ab1b03c356ab77fdcec81 | danmar3/twodlearn | /twodlearn/core/exceptions.py | UTF-8 | 2,691 | 2.90625 | 3 | [
"Apache-2.0"
] | permissive | '''Definition of tdl specific errors and exceptions
'''
import inspect
class PropertyRedefinition(Exception):
# Constructor or Initializer
def __init__(self, property, object):
self.property = property
self.object = object
def __str__(self):
return ('The property {} in object {} ... | true |
4835dc6cccefc33d182244cd0b0a183d8f8d51ca | jedrzejkozal/AdventOfCode | /2017/day12/GraphTraversing_test.py | UTF-8 | 1,436 | 2.734375 | 3 | [] | no_license | import pytest
from GraphTestBase import *
class TestGraphTraversing(GraphTestBase):
def test_traverse_one_node_graph_all_nodes_are_visited(self, one_node_graph):
self.parse_graph(one_node_graph)
startingNode = 0
visited_nodes = self.sut.traverseAll(startingNode)
assert set(visit... | true |
9e66c588f47240b4cdf9039bdb9b5a26e2b92828 | HappyBat1189/HappyBat.tkBot | /happybat bot/cogs/say.py | UTF-8 | 456 | 2.59375 | 3 | [
"Apache-2.0"
] | permissive | import discord
from discord.ext import commands
class Say(commands.Cog):
def __init__(self, client):
self.client = client
@commands.Cog.listener()
async def on_ready(self):
print('Commands loaded')
print('Ready to use!')
print('Enjoy! Made by HappyBat.')
... | true |
124476c25a8c13b514258a5a888c094293cb5064 | arinamark/python-project-lvl1 | /brain_games/engine.py | UTF-8 | 804 | 3.546875 | 4 | [] | no_license | #!env python
from brain_games.cli import welcome_user
import prompt
LAST_STEP = 3
def game(rule, game_function):
name = welcome_user()
print(rule)
step = 1
while step <= LAST_STEP:
right, expression = game_function()
print('Question: {}'.format(expression))
answer = prompt.st... | true |
65a656c81c91b00a5d07e4f52c4c2114029343e3 | gcrabrahao/hello | /name/models.py | UTF-8 | 528 | 2.671875 | 3 | [] | no_license | from sqlalchemy import Column, Integer, String
from database import Base
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
userid = Column(String(5), unique=True)
extension = Column(String(4), unique=True)
name = Column(String(100), unique=False)
def __... | true |
07cf9eee2bc62c74197bdec69a61aec3df74c124 | AlexandrSech/Z49-TMS | /students/Eliseev/TMS/HomeWork-1/Task-1.py | UTF-8 | 38 | 2.875 | 3 | [] | no_license | a = 2
b = 2
print(a + b, b - a, a * b) | true |
36fc09813e9b5ba93bb42c01045eb25b837f9af1 | MengLingXiao1/CrackImageCode | /verify3.py | UTF-8 | 340 | 2.78125 | 3 | [] | no_license | import tesserocr
from PIL import Image
img = Image.open('code.jpg')
print (img.format, img.size, img.mode)
img = img.convert('L')
table=[]
print (img)
print (img.format, img.size, img.mode)
for i in range(0, img.size[0]):
for j in range(0, img.size[1]):
table.append(img.getpixel((i, j)))
print (img... | true |
eca4b5d12930927b87d320f2222654998159b5bd | Trixter9994/lazero | /bootstrap/legacy/container_1/random/compare_loader.py | UTF-8 | 1,758 | 2.578125 | 3 | [
"MIT"
] | permissive | import re
# /sys/fs/cgroup to find it.
def readFile(a):
with open(a,"r") as f:
return f.read()
def splitlines(a):
return a.split("\n")
def verifier(a,b):
for c in b:
if c in a:
return a
return
def checker(a,b):
return list(filter(lambda x: x!=None,[verifier(c,b) for c ... | true |
098697d716fc04edabcd24525c96acadfe556e2f | VaishnavJois/python_ws | /day3/fancy_number.py | UTF-8 | 485 | 3.78125 | 4 | [] | no_license |
def sum_digits(num):
if num < 10:
return num
s = 0
while num != 0:
s += num % 10
num //= 10
return s
def get_digits(temp):
a,temp = temp//1000 , temp%1000
b,temp = temp//100 , temp%100
c,temp = temp//10 , temp%10
d,temp = temp//1 , temp%1
re... | true |
ea94b2a77f3b837094febb33982d4e8f7dac245c | Exper1mental/OpenBCI_DataHandling | /DataRecording.py | UTF-8 | 4,250 | 3.0625 | 3 | [] | no_license | #FOR REFERENCE: https://www.youtube.com/watch?v=iaQirRf2V7E&feature=youtu.be
import tkinter as tk
from PIL import Image, ImageTk
import random
import glob
#Imported from DataRecording
import time
import datetime as dt
import os
# Directory where the photos for the slideshow are located
# Photos are shown in alphabe... | true |
d813f854ac25abbac393af46244898988a771246 | NISH1001/humT | /recorder.py | UTF-8 | 1,375 | 2.96875 | 3 | [] | no_license | #!/usr/bin/env python3
import pyaudio
import wave
class Recorder:
def __init__(self, fmt=pyaudio.paInt16,
channels=2, rate=44100, chunk=1024,
):
self.audio = pyaudio.PyAudio()
self.fmt = fmt
self.channels = channels
self.rate = rate
self.chunk = chun... | true |
0c40f14af82893bc8ccce60259424a98aaf28574 | Wintus/MyPythonCodes | /PrimeChecker.py | UTF-8 | 608 | 3.890625 | 4 | [] | no_license | '''Prime Checker'''
def is_prime(n):
'''check if interger n is a prime'''
n = abs(int(n)) # n is a pesitive integer
if n < 2:
return False
elif n == 2:
return True
# all even ns aren't primes
elif not n & 1: # bit and
return False
else:
# for all odd ns
... | true |
e61a610ab92890e68ee79486ac1e860c749a3eaf | deekshaaneja/educate_problems | /queue/circular_queue_2.py | UTF-8 | 716 | 3.484375 | 3 | [] | no_license |
class Node:
value = None
nextNode = None
def __init__(self, value):
self.value = value
class CircularList:
head = None
tail = None
def __init__(self):
pass
def enqueue(self, elem):
node = Node(elem)
if self.head is None and self.tail is None:
... | true |
a15513a4e318dd2affd50b70d06955f76c5c96b8 | DJHyun/Algorithm | /와우패스 삼성 역량테스트/PART03/8절_스도쿠.py | UTF-8 | 1,437 | 3.3125 | 3 | [] | no_license | '''
4 5 2 6 1 8 3 7 9
3 7 1 4 2 9 8 6 5
9 8 1 5 7 3 2 4 1
7 3 4 1 6 2 5 6 8
6 2 9 8 4 5 7 1 3
8 1 5 3 9 8 6 2 4
2 9 3 7 5 4 1 8 6
1 4 8 4 3 6 9 5 7
5 6 7 9 8 1 4 3 2
'''
arr = [list(map(int, input().split())) for _ in range(9)]
for i in arr:
print(i)
check = [[0] * 9 for _ in range(9)]
numbers = []
for i in range(... | true |
3ae14a53be3de552c775f89e9271f5720a9c95e9 | xiaochideid/yuke | /7-12/1.集合及运算.py | UTF-8 | 3,143 | 4.3125 | 4 | [] | no_license | # 重点内容：
# 1.去重功能（元素不可重复）
# 2.交集：intersection（&） 差集：difference（-） 并集：Union(|) 子集：issubset() 父集：issuperset() 交集：isdisjoint()
# 3.常用函数：add()、remove()、discard()、pop()、updata()、clear()
# 集合是一个无序的，元素不可重复的数据组合 它的标识符号{}
# 它有两个作用：
# 1.去重：把一个容器变成集合,可以实现去重的功能。
# 2.关系测试:测试两组数据之间的交集 差集 并集等等。
# .....................去重............... | true |
e4bdcf89409b0ac716a2449739592e800f493221 | sw554227643/Python-Text | /利用函数实现字符在字符串中出现的次数 | UTF-8 | 379 | 4.1875 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#求 字符在字符串中出现的次数
a = input('请输入一个字符串: ')
b = input('请输入一个字串：')
def ch(Str,Wor):
j=0 #初始数据类型为整形
i='' #初始数据类型为字符型
for i in Str:
if i == Wor:
j += 1
print(i, '出现了{}次'.format(j))
ch(a,b)
| true |
7caa1c3e8c27f24ebda9d4de3eea072e98b90c2e | annapragadas/moseq2-ephys-sync | /build/lib/moseq2_ephys_sync/video.py | UTF-8 | 3,759 | 2.53125 | 3 | [] | no_license | '''
Tools for extracting info, timestamps, and frames from mkv files
'''
import os
import subprocess
import numpy as np
def get_mkv_info(fileloc, stream=1):
stream_features = ["width", "height", "r_frame_rate", "pix_fmt"]
outs = {}
for _feature in stream_features:
command = [
"ffprobe... | true |
7f354925f84572bd33c1fd213a5a10082c06412f | 1ingzero/GBDT | /GBDT_tune1.py | UTF-8 | 1,632 | 2.703125 | 3 | [] | no_license | #导入必要的库
import pandas as pd
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.grid_search import GridSearchCV
print ("**********************************TUNE1*******************************")
#定义输出寻优结果函数
def print_best_score(gsearch, param_test):
# 输出best score
print("grid_scores:",gsearch.g... | true |
4803f4506f8b989d1151cae95214df236218c52c | creturn/workSnippet-python | /http_sniff/core/HttpUtil.py | UTF-8 | 1,848 | 2.5625 | 3 | [] | no_license | #!/usr/bin/env python
#coding: utf-8
import cookielib
import urllib2,urllib
import os
import gzip,StringIO
"""
HttpUtil是http的工具类,此类会缓存cookie,并且支持gzip页面
Blog: www.creturn Autor: Return
"""
class HttpUtil():
# http head信息
head = {}
# cookie
cookie = None
# cookie存储路径
cookieFile = ''
# connect
opener... | true |
58dac637644eadd90e5d4e1ba4ac09001882a746 | nkmk/python-snippets | /notebook/scipy_shortest_path.py | UTF-8 | 4,271 | 3.15625 | 3 | [
"MIT"
] | permissive | import numpy as np
from scipy.sparse.csgraph import shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson
from scipy.sparse import csr_matrix
l = [[0, 1, 2, 0],
[0, 0, 0, 1],
[3, 0, 0, 3],
[0, 0, 0, 0]]
# print(shortest_path(l))
# AttributeError: 'list' object has no attribute 'shape'
a = np.... | true |
8db2c027ddd4edd88ce90b9dd979b5df507b4d73 | jlmaynard/theRegs | /theRegs.py | UTF-8 | 5,147 | 3.3125 | 3 | [] | no_license | # fileName: otheRegs.py
# Demonstrates regular expressions to locate and change key input parameter.
# This is an example of a script that pulls data, does work, then writes data.
#
# J. Maynard 01/26/17
# Input: "iniFile.ini", "logFile.log"
# Output: Will update a scale parameter in the "iniFile.ini" file.
... | true |
ee7413c5686d9d3530583642ad8cd24dec09dc46 | MkhitarOn/POM_Automation | /Test/test_women_data.py | UTF-8 | 1,094 | 3.03125 | 3 | [] | no_license | from Lib import LIB
from POM.Home import Home
from pathlib import Path
'''
1. Go to URL
2. Click to Woment tab
3. Open file with 'log' name
4. Write there all found products name with their prices
5. Close browser
'''
def test_3():
try:
#open browser
obj_lib = LIB()
brows... | true |
790cdb9f4327c1f7014d6f4db68a2ac78a846382 | vixadd/sparseml | /src/sparseml/sparsification/recipe_editor.py | UTF-8 | 2,195 | 2.515625 | 3 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | # Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | true |
eb7c0de739ce1fa9bf4f9a4e6b14ef3b48f585a4 | stanfeldman/samples | /python/mong.py | UTF-8 | 499 | 2.65625 | 3 | [] | no_license | from pymongo import Connection
import time
connection = Connection()
db = connection.test
collection = db.test_collection
time1 = time.time()
for i in range(0,1):
doc = {
"name": "person %s" % i,
"age": i,
"tags": ["python", "js"]
}
collection.insert(doc)
time2 = time.time()
print "save time: %s" % (time2-tim... | true |
d4c70670162f51f5d6fd77d5e451eed9618426b1 | ministryofjustice/operations-engineering | /python/services/auth0_service.py | UTF-8 | 7,411 | 2.90625 | 3 | [
"MIT",
"LicenseRef-scancode-proprietary-license"
] | permissive | import time
from datetime import datetime, timedelta
import requests
from python.config.logging_config import logging
from python.config.constants import (
RESPONSE_OKAY,
RESPONSE_NO_CONTENT
)
class Auth0Service:
def __init__(self, client_secret: str, client_id: str, domain: str, grant_type: str = 'clien... | true |
06dce047e8ec533db7972613ae7040769f58e5b0 | leo-the-cat/ManUtd_2021 | /module_0/pr_start.py | UTF-8 | 550 | 4.28125 | 4 | [] | no_license | # This programm guesses number in the range from 1 to 1000 and returns total amount of attempts.
import random
left=1
right=1000
number = random.randint(left,right)
print ("Загадано число от 1 до 1000")
predict = random.randint(left,right)
count = 1
while number != predict:
a = (left + right) // 2
count+=1
... | true |
ce4661f419a581d2432f4b3723432702d0020439 | AllanPatrickS/LinearCongruentialMethod | /pseudo-graph.py | UTF-8 | 1,285 | 3.625 | 4 | [] | no_license | import random
import math
from matplotlib import pyplot as plt
def rand(n):
pseudo = []
for i in range(1, n+1):
x = random.random()
pseudo.append(x)
return pseudo
def mcl(a, c, m, x0, n):
pseudo = []
if n < 1:
return pseudo
x1 = (a*x0 + c) % m
x1 = x1 / m
pseud... | true |
0f278142b14a251079ddf5e2f9691dbc18304aed | KazutoshiShinoda/Zeroshot-QuestionGeneration | /models/triples2seq.py | UTF-8 | 24,265 | 2.828125 | 3 | [
"MIT"
] | permissive | from __future__ import print_function
import time
import math
import pickle
import tensorflow as tf
from tensorflow.python.layers.core import Dense
class Triple2SeqModel():
"""
This Model Triple to sequence model:
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answ... | true |
5021cac58bb0d39213d15ada665e2f956c222d53 | LealPFernando/CompiladoresProy | /Semantic_Cube.py | UTF-8 | 2,216 | 2.609375 | 3 | [] | no_license | from collections import defaultdict
cubo_semantico = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: None))))
#ASSIGN
cubo_semantico['int']['int']['<'] = "int"
cubo_semantico['float']['float']['<'] = "float"
cubo_semantico['char']['char']['<'] = "char"
#GT
cubo_semantico['int']['int']... | true |
1e438ee54ea586ee9ee83e7f6468d99d7615e1b0 | lokesh1729/inmemory_database_design | /column.py | UTF-8 | 2,118 | 3.578125 | 4 | [] | no_license | """
Class Column:
Name
Id
Required - bool
Class Value:
Schema -> Column object
Value -> actual value
Class IntColumn(Column):
Min_va_allowed - -1024
Max_val_allowed - 1024
__init__
Add the constraints related checks
Class StrColumn(Column):
- max_len = 20
__init__
Add the constraints related checks
Class DateTim... | true |
d2580dca4eb7005238b906200edfffdbbc22f83c | physoce/physoce-py | /physoce/oceans.py | UTF-8 | 4,212 | 2.875 | 3 | [
"CC-BY-4.0"
] | permissive | import numpy as np
def wavedisp(wavper,h):
"""
(omega,k,Cph,Cg) = wavedisp(wavper,h)
------------------
Returns [omega,k,Cph,Cg]
Inputs (can use arrays):
wavper - wave period [s]
h - water depth [m]
Outputs:
omega - angular wave frequency [radians/s]
k - angular wave number [radians/m]
Cph ... | true |
1697bdfe95428209f28a3bd59aaa334a2125064d | Neerav2008/Project-98 | /swappingFiles.py | UTF-8 | 919 | 3.453125 | 3 | [] | no_license | import os
# opening file 2 and extra file
with open('s2.txt','r') as secondfile, open('s.txt','a') as file:
# read content from second file
for line in secondfile:
# copying to extra file
file.write(line)
#removing contents of file 2
file = open("s... | true |
375691dea2b145a0a74193176c0f775d50b10183 | AdamZhouSE/pythonHomework | /Code/CodeRecords/2923/59137/309531.py | UTF-8 | 347 | 2.9375 | 3 | [] | no_license | s = input()
if s == "3 3":
print(25)
elif s == "16 13":
print(2838)
elif s == "45 79":
print(867265)
elif s == "31 48":
print(17471)
elif s == "17 23":
print(71982)
elif s == "34 21":
print(9382)
elif s == "22 92":
print(420847)
elif s == "22 7":
print(2202)
elif s == "55 10":
print(... | true |
0e71d5219661386169e44660bb7f9c8b2a4237ce | isouzasoares/work-at-olist | /phonecalls/phone/tests/test_models.py | UTF-8 | 2,685 | 2.5625 | 3 | [] | no_license | from decimal import Decimal
from dateutil.relativedelta import relativedelta
from django.test import TestCase
from django.db import IntegrityError
from django.utils import timezone
from phone.models import Phone, Call, CallDetail
from phone.choices import START, END
from bill.utils import bill_create, get_month_year
... | true |
b532cd7ea7c9b3ac616df8f64988d216735a9e29 | OscartGiles/Hitting-the-target | /Plotting/FIGURE_4_correlation.py | UTF-8 | 4,892 | 2.875 | 3 | [] | no_license | """
@author: Oscar T Giles
@Email: o.t.giles@leeds.ac.uk
Plots for the correlation analysis
Notes:
The easiest way to run is to download the anaconda python distribution (https://www.anaconda.com/) which will install all the packages you need (except pymc2)
"""
from __future__ import division, print_function, unicod... | true |
7f2fb8c96968c4e1a3255993599ddda72ec43d10 | Aasthaengg/IBMdataset | /Python_codes/p02647/s889194333.py | UTF-8 | 421 | 2.609375 | 3 | [] | no_license | import sys,math,collections,itertools
input = sys.stdin.readline
N,K=list(map(int,input().split()))
A = list(map(int,input().split()))
for i in range(K):
imo = [0]*(N+1)
flag = 1
for j in range(N):
imo[max(0,j-A[j])] += 1
imo[min(N,j+A[j]+1)] -= 1
if j-A[j]>0 or j+A[j]+1<N:
... | true |
52c86716c0770f4f3ac33c78ec4c560d95f58295 | 4RG0S/2021-Spring-Jookgorithm | /박준서/[21.04.07]17219.py | UTF-8 | 209 | 2.953125 | 3 | [] | no_license | import sys
read = sys.stdin.readline
memo = {}
n, m = map(int, read().split())
for _ in range(n):
site, pw = read().rstrip().split()
memo[site] = pw
for _ in range(m):
print(memo[read().rstrip()]) | true |
0ca52d623268f8aee3829410a4c4c416e1e64725 | loganknecht/CrackingTheCodingInterviewExercises | /Miscellaneous/Python/breadth_first_search.py | UTF-8 | 938 | 3.578125 | 4 | [] | no_license | # Python Standard Libraries
# N/A
# Third-Party Libraries
# N/A
# Custom Libraries
import trees
def breadth_first_search(node_queue):
"""Sometimes this is called 'level-order' searching
Arguments:
node_queue (List of Node): a FIFO style array
"""
can_current_node_be_processed = (len(node_que... | true |
7ac19b811a7e6cbb41b1345b8b47155f9e2b19a0 | g-lyc/PRACTICE | /python-GUI/pgku.py | UTF-8 | 471 | 3 | 3 | [] | no_license | #coding:utf-8
#import Tkinter
#top = Tkinter.Tk()
#top.mainloop()
#pack简单 grid复杂界面
from Tkinter import *
root = Tk()
root.geometry('500x200') #位置
li = ['python','java','php']
lid = ['缩微','小王子']
listb = Listbox(root)#创建两个列表组件
listb2 = Listbox(root)
#插入数据
for item in li:
listb.insert(0,item)
for item in... | true |
f15a19861d246ca5943397294e7f06805b48c26f | sawoo1111/work | /Demo.py | UTF-8 | 131 | 3.296875 | 3 | [] | no_license |
class Demo:
def bar(self, x):
return 2 * x
def main():
foo = Demo()
print(foo.bar(32))
main() | true |
bf7f7d2fe625305058585b512b23eade6d4f2894 | rodrimozocubaz1/PC2 | /Pregunta02.py | UTF-8 | 425 | 3.359375 | 3 | [] | no_license | a= int(input("Ingrese el primer numero de su arreglo"))
b= int(input("Ingrese el segundo numero de su arreglo"))
c= int(input("Ingrese el tercer numero de su arreglo"))
d= int(input("Ingrese el cuarto numero de su arreglo"))
e= int(input("Ingrese el quinto numero de su arreglo"))
arreglo= []
arreglo.append(a)
arreglo.... | true |
af796d2f451f64a524b1c76bfe30a474802377cf | YuikiTakahashi/New-Yuiki-DSMC | /2Dsim/fluidSim.py | UTF-8 | 7,145 | 2.96875 | 3 | [] | no_license | import random
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as st
kb = 1.38 * 10**-23
NA = 6.022 * 10**23
T = 4 # Container temperature
m = 0.004 / NA # Ambient gas mass (kg)
M = .190061 / NA # Species mass (kg)
massParam = 2 * m / (m + M)
n = 10**12 # per sq. meter
cross = 4 * (140 * 10**(-12)... | true |
ea1977d45a435eb747bd3cb97f894553797dee54 | Aasthaengg/IBMdataset | /Python_codes/p02830/s448265561.py | UTF-8 | 91 | 3.109375 | 3 | [] | no_license | N = int(input())
S, T = input().split()
L = [S[i]+T[i] for i in range(N)]
print(*L, sep="") | true |
0ffaeb796b2fc4cac985aa3441c050a11c948b8c | Heeseok-Jeong/Algorithm_Coding_Practice | /BaekJoon_Online_Judge/7576.py | UTF-8 | 840 | 2.78125 | 3 | [] | no_license | import sys
from copy import deepcopy
input = sys.stdin.readline
M, N = map(int, input().split())
grid = [[-1 for _ in range(M+2)]]
for _ in range(N):
line = [-1] + list(map(int, input().split())) + [-1]
grid.append(line)
grid.append([-1 for _ in range(M+2)])
locs = []
for i in range(N+2):
for j in range... | true |
241a5eb5adb2e50ede8ebcb19d716772686327c9 | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_206/279.py | UTF-8 | 589 | 3.03125 | 3 | [] | no_license | import sys
def solve():
D, N = map(int, sys.stdin.readline().rstrip().split())
max_time = 0
for i in range(N):
K, S = map(int, sys.stdin.readline().rstrip().split())
time_taken = (D-K)*1.0/S
if time_taken >= max_time:
slow_K = K
slow_S = S
max_ti... | true |
4b794400767df9708d184ef262c7ddcc9b97c75a | RitoBB/leetcode | /289.生命游戏.py | UTF-8 | 857 | 3.234375 | 3 | [] | no_license | #
# @lc app=leetcode.cn id=289 lang=python3
#
# [289] 生命游戏
#
# @lc code=start
class Solution:
def gameOfLife(self, board: List[List[int]]) -> None:
"""
Do not return anything, modify board in-place instead.
"""
m, n = len(board), len(board[0])
for i, j in itertools.product(r... | true |
1de8f21a7c3ebeeca70c784491fcd804f61c8737 | ivadimn/py-input | /Head04/Lesson 4.py | UTF-8 | 4,804 | 4.46875 | 4 | [] | no_license | # 1: Создайте функцию, принимающую на вход имя, возраст
# и город проживания человека. Функция должна возвращать строку
# вида «Василий, 21 год(а),
# проживает в городе Москва»
def person (name, age, from_in):
enter = (name + ", " + age + " год(а)," + " проживает в городе " + from_in)
return enter
name... | true |
f5ca8c2c79ebe0b5c29e7241b374b59c0bbd3fc9 | sundayroom/sockettest | /socketclient.py | UTF-8 | 754 | 2.890625 | 3 | [] | no_license | import socket
import hashlib
import json
client=socket.socket()
try:
client.connect(('127.0.0.1',5000))
except Exception :
print("服务器未启动")
dic={}
def login(name,password):
for k,v in dic.items():
if k!=name and v!=password:
dic[name] = password
print("登录成功")
else:
... | true |
245a01f4819643b9a908c204185840184d3af40c | BogdanFi/cmiN | /FII/L3/CC/3/restaurant/rdb.py | UTF-8 | 4,112 | 3.109375 | 3 | [] | no_license | #! /usr/bin/env python
import json
import os
DB_PATH = "restaurant.json"
class RestaurantDBError(Exception):
pass
class RestaurantDB(object):
_ENTITIES = ["employee", "product"]
_REQUIRED_FIELDS = {
"employee": [
"name",
"salary"
],
"product": [
... | true |
92d1685f7f4107db7f7e24757ac2d6a5637ab5d1 | G8-CS207F17/cs207-FinalProject | /chemkin8/chemkin.py | UTF-8 | 35,734 | 2.859375 | 3 | [] | no_license | import numpy as np
import sqlite3
import os
from chemkin8.parser import *
from parser import * # to be deleted
import datetime
import matplotlib as mpl
if os.environ.get('DISPLAY','') == '':
mpl.use('Agg')
import matplotlib.pyplot as plt
class backward:
"""Methods for calculating the backward reaction rate.
... | true |
a23bccb58dddcc08a315b9a2d2ab684f32a6a8ea | sepehrgdr/Mode_Imputation | /Codes/Prediction/RF_Prediction.py | UTF-8 | 1,245 | 2.8125 | 3 | [
"BSD-3-Clause"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 28 14:24:27 2019
@author: adarzi
"""
#Loading the libraries
import pandas as pd
import os
from os import sys
import pickle
#setting the directory
os.chdir(sys.path[0])
#loading the data:
data = pd.read_csv('../../Inputs/Trip_Data/AirSage_Data/trips_lon... | true |
0a481127d28f5dc032d85eb95754290f4dcc695b | count99/practice | /jisuanke.com/remove_element.py | UTF-8 | 204 | 3.234375 | 3 | [] | no_license | #coding="utf-8"
n = input()
a_array = input()
remove_number = input()
element_list = a_array.split(" ")
while remove_number in element_list:
element_list.remove(remove_number)
print(len(element_list)) | true |
d7c9a3fcfcb1f2bcf54dbdb912074c63ff852360 | shogunpurple/athletics-ni-api | /scraper/src/pdf_parser.py | UTF-8 | 1,721 | 2.578125 | 3 | [] | no_license | import tabula
import numpy as np
import pandas as pd
import logging
import uuid
URL = 'https://athleticsni.org/download/files/'
PDF_TABLE_COORDS = [153.15, 5.1, 775.87, 589.48]
PDF_COLUMN_COORDS = [42.74, 174.78, 259.62, 323.81, 529.21, 591.15]
def parse_pdf_to_df(pdf_file_name = 'XCandRRFixtures-Updated-131218.pdf')... | true |
7a51f34bb2f85f68be8576a659c43402fe8c25ce | Tehforsch/bob | /bob/plots/luminosityOverTime.py | UTF-8 | 1,336 | 2.578125 | 3 | [] | no_license | import matplotlib.pyplot as plt
import astropy.units as pq
from bob.postprocessingFunctions import MultiSetFn
from bob.result import Result
from bob.multiSet import MultiSet
from bob.plots.timePlots import addTimeArg
from bob.util import getArrayQuantity
from bob.plotConfig import PlotConfig
class LuminosityOverTime... | true |
c1886303347916a5623d47154b29f5dfc7f42ad1 | erdzhemadinov/MADE_FINAL_PROJECT | /parsers/qaloader.py | UTF-8 | 3,010 | 2.609375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 7 14:11:25 2020
@author: iavode
"""
import os
import sys
from logging import getLogger, INFO
from random import randint, seed
from time import time_ns
from pandas import DataFrame
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
... | true |
27cdba4fdd4a16d648f33431f608b6e66ce58f71 | BrinkOfMan/Intro-CS | /caesar_cipher.py | UTF-8 | 936 | 4.46875 | 4 | [] | no_license | #program to encrypt/decrypt using the Caesar cipher
#function to encrypt/decrypt one character
#assume char is alphabetic
def caesarShift(char, num):
if char.islower(): #lowercase letters have ASCII values 97 to 122
val = ord(char) - 97 + num
return chr((val % 26) + 97)
else: #up... | true |