seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
43967300296 | # Cryptomath Module
# http://inventwithpython.com/hacking (BSD Licensed)
def gcd(a, b):
# Return the GCD of a and b using Euclid's Algorithm
while a != 0:
a, b = b % a, a
return b
def succesiveSquaring(base, exp, mod):
if exp == 0:
x = 1
else:
half = succesiveS... | rugbyprof/CMPS-Cryptography | cryptomath.py | cryptomath.py | py | 1,424 | python | en | code | 4 | github-code | 36 |
42360576812 | """
__title__ = ''
__author__ = 'Thompson'
__mtime__ = '2018/5/23'
# code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
┏┓ ┏┓
┏┛┻━━━┛┻┓
┃ ☃ ┃
┃ ┳┛ ┗┳ ┃
┃ ┻ ┃
┗━┓ ┏━... | hwzHw/python37 | day0109/requests_04_代理IP.py | requests_04_代理IP.py | py | 1,014 | python | en | code | 0 | github-code | 36 |
2080670146 | # -*- coding : utf-8 -*-
import numpy as np
import torch
from torch import nn
class DNN(nn.Module):
def __init__(self,args):
super().__init__()
self.outDim = args.outDim
self.seqLen = args.seqLen
self.hiddenDim1 = args.hiddenDim1
self.hiddenDim2 = args.hiddenDim2
se... | Ylizin/RWSim | ylSim/DNN.py | DNN.py | py | 1,213 | python | en | code | 2 | github-code | 36 |
17881377685 | #When newlist = oldlist, both will get modified when one is edited !!!!!!!!!!!!!!!!!
nums = [1,2,3,4,5,6,7]
k = 3
length = len(nums)
temp = nums.copy()
def indexRet(index, length, k):
newIndexVal = (i+k)%length
return newIndexVal
for i in range(length):
newIndex = indexRet(i, length, k)
nums[newIndex] = temp[i... | qdotdash/Competitive_Coding | Data Structures and Algorithms - Udemy/Arrays Exercises/5. shiftArrays.py | 5. shiftArrays.py | py | 335 | python | en | code | 0 | github-code | 36 |
29647725517 | import sqlite3
import pandas as pd
import time
import sys
from drugbank.drugbank_index_query import drugbank_search
from hpo.hpo_index_query import hpo_search
from omim.omim_index_query import omim_search
from stitch.stitch_chemical_sources_index_query import stitch_chemical_sources_search
from stitch.stitch_br08303_i... | Hamza-ABDOULHOUSSEN/gmd2k22 | python/data_query.py | data_query.py | py | 7,485 | python | en | code | 0 | github-code | 36 |
5784254080 | from unittest import mock
import bson
import pytest
from test.tools import anything, in_any_order
from slivka import JobStatus
from slivka.db.documents import JobRequest, ServiceState
from slivka.db.helpers import delete_many, insert_many, pull_many
from slivka.scheduler import Runner, Scheduler
from slivka.scheduler... | bartongroup/slivka | test/scheduler/test_scheduler.py | test_scheduler.py | py | 8,266 | python | en | code | 7 | github-code | 36 |
10914202370 | #!/usr/bin/env python3
import os
import mod_resource
import mod_something
if __name__ == "__main__":
print("Hello, world! -> something returns: {}".format(mod_something.something()))
res_path = \
os.path.join(os.path.dirname(mod_resource.__file__), 'resource.txt')
with open(res_path) as f:
... | borntocodeRaj/sphinx_configuration | tests/roots/test-apidoc-toc/mypackage/main.py | main.py | py | 403 | python | en | code | 1 | github-code | 36 |
28121817798 | import tornado.httpserver
import tornado.ioloop
import tornado.web
import tornado.options
import settings
from handlers import *
def make_app():
db = None
handlers = [
(r"/", MainHandler),
(r"/covert", CovertHandler)
]
config = {"template_path":settings.TEMPLATE_PATH, "static_path":settings.ASS... | caroltc/lrc2srt | app.py | app.py | py | 672 | python | en | code | 2 | github-code | 36 |
41278650678 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 8 16:46:19 2019
@author: sanjain6
"""
if __name__ == '__main__':
s = "abcab"
c = 'abc'
p = len(s)
q = 0
for i in range(len(s) - len(c) + 1):
if c in s[i: i + len(c)]:
q +=1
print(q)
... | San0506/Use-Cases-Python-String-Manipulation | String_mutate.py | String_mutate.py | py | 339 | python | en | code | 0 | github-code | 36 |
12004997372 | import socket
import os
import sys
# 第三方库
from 网络 import 创建网络
if __name__ == '__main__':
创建网络.本地服务器地址='127.0.0.1'
创建网络.本地服务器端口=1082
插座= 创建网络.申请插座()
print("服务器的socket建立了")
插座.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
创建网络.绑定插座(插座)
print('服务器的socket绑定到%s:%d'%(创建网络.本... | littleguyy/python-practice | http代理原理.py | http代理原理.py | py | 1,671 | python | zh | code | 2 | github-code | 36 |
2964066145 | #!/bin/python3
import os
import sys
class Node(object):
def __init__(self, n):
self.n = n
self.neighbors = {}
self.feet = 0
def copy(self):
n = Node(self.n)
n.neighbors = self.neighbors.copy()
n.feet = self.feet
return n
class Graph(object):
def _... | jvalansi/interview_questions | crab.py | crab.py | py | 3,838 | python | en | code | 0 | github-code | 36 |
11526198960 | import asyncio
import json
import multiprocessing as mp
from importlib import import_module
from django import http
from django.conf import settings
from django.core.cache import caches
from django.core.handlers.asgi import ASGIRequest
from django.contrib import auth
from django.utils import timezone
from asgiref.syn... | cognitive-space/warpzone | worlds/websocket.py | websocket.py | py | 5,411 | python | en | code | 1 | github-code | 36 |
38221958113 | class Solution:
def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
top = 0
bottom = len(matrix)
left = 0
right = len(matrix[0])
arr = []
while (top < bottom and left < right):
for j in range(left,right):
arr.append(matrix[top][j])... | vaibhavTekk/leetcoding | problems/spiral_matrix/solution.py | solution.py | py | 782 | python | en | code | 1 | github-code | 36 |
34088291435 | from abc import ABC, abstractmethod
def process_for_variable(var, table_info):
for tableName in table_info.keys():
splited = var.split(tableName)
if len(splited)>1:
pure_variable = splited[-1][1:]
if pure_variable == '':
sql = table_info[tableName]['subQuery'... | ajcltm/Isql_v3 | Isql/querySql.py | querySql.py | py | 12,110 | python | en | code | 0 | github-code | 36 |
74540116904 | loadModule('/Capella/Capella')
import sys
def capella_query(query_class, e_obj, cls = None):
"""Call a query from the semantic browser from the qualified class name of the query and the EObect to pass as parameter"""
res = []
for e in callQuery(query_class, e_obj.get_java_object()):
e_object_class ... | kaynl/ROxE | Python4Capella/java_api/Capella_API.py | Capella_API.py | py | 1,766 | python | en | code | 3 | github-code | 36 |
71335904423 | from os import *
from sys import *
from collections import *
from math import *
def findInMatrix(x, arr):
# Write your code here
## We know that each column and each row is sorted.
## Let us begin from the Right Top most point
row, column = 0, len(arr[0])-1
while row<len(arr) and column>=0:
... | architjee/solutions | CodingNinjas/Search in a 2D matrix II.py | Search in a 2D matrix II.py | py | 521 | python | en | code | 0 | github-code | 36 |
70489044264 | import pytest
from unittest.mock import AsyncMock, patch
from api.exceptions import InvalidParameterError
from crawler.default.instances.second_instance import SecondInstance
# Mock para a resposta do ClientSession
mock_response = AsyncMock()
mock_response.text.return_value = 'Sample Text'
@pytest.mark.asyncio
async... | BrunoPisaneschi/JusBrasil | tests/unit/crawler/default/instances/test_second_instance.py | test_second_instance.py | py | 921 | python | en | code | 0 | github-code | 36 |
74949364585 | import matplotlib.pyplot as plt
import numpy as np
import torch
from torch import nn
from RNN_torch.model import RNN
# Hyper parameters
BATCH_SIZE = 64
EPOCH = 1
TIME_STEP = 28 # 考虑多少个时间点的数据
INPUT_SIZE = 1 # 每个时间点给RNN多少个数据点
LR = 0.01
rnn = RNN(INPUT_SIZE)
print(rnn)
optimizer = torch.optim.Adam(r... | xjtulyc/PKU_Weekly_Summary_repo | 20220719/cs231n assignment/assignment_3.py | assignment_3.py | py | 1,352 | python | en | code | 2 | github-code | 36 |
34343311578 | '''Write a Python program to count the number of strings where
the string length is 2 or more and the first and last character
are samefrom a given list of strings.'''
def give_str(words):
selected_words = []
for word in words:
if len(word) > 2 and word[0] == word[-1]:
selected_word... | ABDULSABOOR1995/Python-List-Exercises | List Exercises/string_manipulation.py | string_manipulation.py | py | 479 | python | en | code | 2 | github-code | 36 |
73037104745 | import collections.abc
import copy
import typing
import enpheeph.injections.plugins.indexing.abc.indexingpluginabc
import enpheeph.utils.constants
import enpheeph.utils.dataclasses
import enpheeph.utils.enums
import enpheeph.utils.typings
class IndexingPlugin(
enpheeph.injections.plugins.indexing.abc.indexingplu... | Alexei95/enpheeph | src/enpheeph/injections/plugins/indexing/indexingplugin.py | indexingplugin.py | py | 9,122 | python | en | code | 1 | github-code | 36 |
19509126438 | import pandas as pd
import requests
from datetime import datetime
DISCORD_URL = "https://discord.com/api/v9/invites/UQZpTQbCT4?with_counts=true"
STARTED_AT = datetime.now()
request = requests.get(DISCORD_URL)
data = request.json()
new_dataframe = pd.json_normalize(data, max_level=2)
new_dataframe["_started_at"] =... | ndrluis/soberana-data-poc | extract/scripts/discord.py | discord.py | py | 566 | python | en | code | 2 | github-code | 36 |
8086245877 | #!/usr/bin/env python
"""
The file contains the class and methods for loading and aligning datasets
"""
from __future__ import print_function, division
import pickle
import numpy as np
from scipy.io import loadmat
import pandas as pd
from .utils import p2fa_phonemes
import warnings
from collections import OrderedDict
f... | codeislife99/Multimodal_Emotion_Analysis | mmdata/dataset.py | dataset.py | py | 29,605 | python | en | code | 1 | github-code | 36 |
6864404682 | import math, random
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.autograd as autograd
import torch.nn.functional as F
import matplotlib.pyplot as plt
USE_CUDA = torch.cuda.is_available()
Variable = lambda *args, **kwargs: autograd.Variable(*args, **kwargs).c... | saumyasinha/learning_better_policies_with_critical_states | Qlearning/dqn_for_CartPole.py | dqn_for_CartPole.py | py | 8,842 | python | en | code | 0 | github-code | 36 |
34338165702 | # https://leetcode.com/problems/construct-binary-tree-from-preorder-and-inorder-traversal/
from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
... | 0x0400/LeetCode | p105.py | p105.py | py | 788 | python | en | code | 0 | github-code | 36 |
70955291624 | """add admin flag to user
Revision ID: dd535b1f37a1
Revises: 4519159d3019
Create Date: 2019-01-06 13:39:21.042745
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'dd535b1f37a1'
down_revision = '4519159d3019'
branch_labels = None
depends_on = None
def upgrade(... | euphwes/cubers.io | migrations/versions/014_dd535b1f37a1_add_admin_flag_to_user.py | 014_dd535b1f37a1_add_admin_flag_to_user.py | py | 797 | python | en | code | 27 | github-code | 36 |
4084609951 | import customtkinter as ctk
class ConfirmDeleteOldestBackupDialog(ctk.CTkToplevel):
def __init__(self, parent, controller, *args, **kwargs):
super().__init__(parent, *args, **kwargs)
# Configure variables
self.controller = controller
self.label_text = "You are only allowed 10 back... | berndklare/flashcards | dialogs/confirm_delete_oldest_backup_dialog.py | confirm_delete_oldest_backup_dialog.py | py | 1,389 | python | en | code | 0 | github-code | 36 |
26425057259 | #coding: latin-1
#
# Exemple 5.5 dimensionnemnt approche suédoise
#
from geothermal_md import *
import numpy as np
from matplotlib.pyplot import *
from time import *
# fichier de fonction g (Eskilson) tabuléees pour champ 2 x 2 pour b = 0.05,0.1,0.2,0.4,0.8
zo = 0
rb = 0.25/2
b = 0.05
H = 4
z = 1.8
Ht = H/rb
bt = b/rb... | LouisLamarche/Fundamentals-of-Geothermal-Heat-Pump-Systems | chapter13/Example13_5.py | Example13_5.py | py | 2,165 | python | en | code | 1 | github-code | 36 |
5987566968 | from django.urls import path
from .views import ListingsView, ListingView, SearchView
# Declare the URL for the listings app here.
urlpatterns = [
path('', ListingsView.as_view(),name="ListALL"),
path('search', SearchView.as_view()),
path('<slug>', ListingView.as_view()), # Used for lising... | testusername190/Realest_Estate_Backend | backend/listings/urls.py | urls.py | py | 374 | python | en | code | 0 | github-code | 36 |
4863814184 | import numpy as np
import pandas as pd
import itertools
from sklearn import metrics
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_score
# models that are being considered
from sklearn.ensemble import AdaBoostCla... | grikkaq/ml_hw5 | elections_results.py | elections_results.py | py | 7,045 | python | en | code | 0 | github-code | 36 |
22161452898 | #!/usr/bin/env python3
import glob
import os.path
import re
import statistics
import sys
from collections import defaultdict
from typing import List, Dict
"""
USAGE:
./simple_spec_summary.py # all files in /spec/result/
./simple_spec_summary.py 1 10 # result 1-10 from /spec/result/
./simple_Spec_summary.py <list>... | typro-type-propagation/TyPro-CFI | scripts/simple_spec_summary.py | simple_spec_summary.py | py | 3,896 | python | en | code | 3 | github-code | 36 |
21107255277 | import sqlite3
#Her oprettes en forbindelse til databasefilen
#Hvis filen ikke findes, vil sqlite oprette en ny tom database.
con = sqlite3.connect('start.db')
print('Database åbnet')
try:
con.execute("""CREATE TABLE personer (
id INTEGER PRIMARY KEY AUTOINCREMENT,
navn STRING,
alder INTEGER)""")
... | jonascj/learn-programming-with-python | ch-database/src/database_start.py | database_start.py | py | 1,314 | python | da | code | 2 | github-code | 36 |
43109381353 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 18 21:28:29 2021
@author: apolloseeds
"""
from dataset import *
import matplotlib.pyplot as plt
import numpy as np
from scipy.io import loadmat
from sklearn import model_selection
from toolbox_02450 import train_neural_net, draw_neural_net, visual... | ralph-elhaddad/02450-Intro-ML | Project2/2b.py | 2b.py | py | 7,248 | python | en | code | 0 | github-code | 36 |
840464409 | import random
usernames_array = ["giraffe", "raccoon", "ant", "tiger", "sheep", "deer", "panda", "liger", "fox", "hippo", "alligator",
"dog", "dolphin", "eagle", "zebra", "rabbit", "bear", "monkey", "leopard", "frog", "squirrel",
"elephant", "bee", "duck", "kangaroo", "penguin"]
... | rifav/UbicosAppServer | textbook/app/randomGroupGenerator.py | randomGroupGenerator.py | py | 2,901 | python | en | code | null | github-code | 36 |
28512647903 | # Import libraries
import numpy as np
import pandas as pd
pd.options.mode.chained_assignment = None
from sqlalchemy import create_engine
from googlesearch import search
from tqdm import tqdm
tqdm.pandas()
# Read data
df = pd.read_csv('data/user-item-interactions.csv')
df_content = pd.read_csv('data/articles.csv')
del ... | sameedakber-ai/ibm-recommendations-2 | data/process_data.py | process_data.py | py | 2,578 | python | en | code | 0 | github-code | 36 |
35056823314 | import pickle
import json
import yaml
import numpy as np
import torch
import torch.optim as optim
import time
from data_manager import DataManager
from model import BiLSTMCRF
from utils import f1_score, get_tags, format_result
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter(log_dir='./tensorbo... | ravesky/medical_ner_pytorch | main.py | main.py | py | 10,508 | python | en | code | 44 | github-code | 36 |
33380799983 | import requests
from bs4 import BeautifulSoup
import time
import plotly
import numpy as np
import pandas as pd
import datetime as dt
import cufflinks as cf
import subprocess
import traceback
from sys import exit
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import base64
import pi... | rhart-rup/Playstation-Store-Price-Drop-Alert | main.py | main.py | py | 13,550 | python | en | code | 1 | github-code | 36 |
27895109817 | def see_and_say_util(number_str):
i = 0
result = []
while i < len(number_str):
j = i
count = 0
while j < len(number_str) and number_str[j] == number_str[i]:
j += 1
count += 1
result.append(str(count))
result.append(number_str[i])
i = j
... | stgleb/algorithms-and-datastructures | strings/see_and_say.py | see_and_say.py | py | 638 | python | en | code | 0 | github-code | 36 |
17523919887 | #This tool is useful whenever you get some rough data deliverables
#I used this whenever I had ~100 individually names folders, all containing a single shapefile with the same name, "Data.shp"
#The goal was to rename the shapes from Data.shp, to the parent folder's name.shp
import os, arcpy
from subprocess import Pop... | hotlikesauce/Public-Tools | Rename Shapefile to Parent Folder.py | Rename Shapefile to Parent Folder.py | py | 922 | python | en | code | 0 | github-code | 36 |
25714644305 | import numpy as np
import matplotlib.pyplot as plt
def plot_with_exponential_averaging(x, y, label, alpha):
y_ema = [y[0],]
for y_i in y[1:]:
y_ema.append(y_ema[-1] * alpha + y_i * (1 - alpha))
p = plt.plot(x, y_ema, label=label)
plt.plot(x, y, color=p[0].get_color(), alpha=0.2)
def... | olenmg/dopamine-rl | utils/plot.py | plot.py | py | 804 | python | en | code | 0 | github-code | 36 |
72287095464 | #!/usr/local/python3/bin/python3
import sys
sys.path.append("..")
import tushare as ts
import re
import datetime
import basicdata.basic_mgr as sk
import time
import os
import pandas as pd
g_update_newest=False #True|False
#是否下载最新的概念，一般不需要
g_ctcode_name=None
#g_ctcode_name['TS56']='电改'
g_tscode_concept=None
#g_tscode... | haianhua/stock | stock/conceptdata/concept_mgr.py | concept_mgr.py | py | 2,624 | python | en | code | 0 | github-code | 36 |
71961526185 | # -*- coding: utf-8 -*-
from numpy import zeros
from copy import deepcopy
from numpy import cast
from numpy import dot
from numpy import linalg
class SSMOperation:
def localNormalize(self, M):
M = deepcopy(M)
maxValue = M.max()
for rowIdx in range(M.shape[0]):
M[rowIdx] = map(lambda value: value / maxValu... | fukuball/lyrics-match | p-library/lyrics_form_analysis/SSMOperation.py | SSMOperation.py | py | 1,578 | python | en | code | 19 | github-code | 36 |
35018437018 | import line
import cv2
import time
import serial
# Camera
vid = cv2.VideoCapture(0)
# Elegoo
power_forward = 100
power_sideway_minimal = 130
power_sideway_maximal = 200
compteur = 0
ips = 0
after = time.time() + 1
imprimer_taille_image = True
left_begin = 0
left_end = 85
right_begin = 95
right_end = 180
compteur_... | GuillaumeCariou/I3S_Tutorship_Internship | Python/Line_Following/Line/main_rgb.py | main_rgb.py | py | 3,992 | python | en | code | 0 | github-code | 36 |
10660236943 | # coding=utf-8
import mysql.connector
from mysql.connector import Error
import requests
import json
import datetime
dias_semana = ['Domingo', 'Segunda-feira', 'Terça-feira', 'Quarta-feira', 'Quinta-feira', 'Sexta-feira', 'Sábado']
try:
# recupera dataset do chat
url_json = "http://raw.githubusercontent.com/ca... | camilabianchi/graces_desafio | 2_importacao_python_airflow/importa_chat.py | importa_chat.py | py | 2,617 | python | pt | code | 0 | github-code | 36 |
20405590464 | import matplotlib.pyplot as plt
from tespy.networks import Network
from tespy.connections import Connection
from tespy.components import (Source, Sink, Condenser, Pump)
# Create a TESPy network
nw = Network(fluids=['water', 'NH3'])
# Add components and connections to the network
source = Source('source')
sink = Sink(... | JubranKhattab/testing_tespy_projects | subsystems/ploting.py | ploting.py | py | 1,346 | python | en | code | 0 | github-code | 36 |
22193337403 | # Задайте последовательность чисел.
# Напишите программу, которая выведет список
# неповторяющихся элементов исходной последовательности.
list_1 = []
list_2 = []
for i in range(int(input('Введите количество чисел: '))):
list_1.append(int(input(f'Введите число № {i + 1}: ')))
if list_1[i] not in list_2:
... | Minions-Wave/GB-Minions-Wave | The Big Brain Solutions/Personal Zone/Zhuravlevivan Solutions/Python/HW/04/Task_03.py | Task_03.py | py | 571 | python | ru | code | 2 | github-code | 36 |
26634573192 | import requests
def request_demo():
url = "https://qyapi.weixin.qq.com/cgi-bin/gettoken"
param = {
"corpid":"ww93348658d7c66ef4",
"corpsecret":"T0TFrXmGYel167lnkzEydsjl6bcDDeXVmkUnEYugKIw"
}
proxy = {
"http": "http://127.0.0.1:8080",
"https": "http://127.0.0.1:8080"
}... | ceshiren/HogwartsSDET17 | test_mock/requests_demo.py | requests_demo.py | py | 447 | python | en | code | 7 | github-code | 36 |
12243691897 | from django.test import TestCase, RequestFactory
from django.urls import reverse
from django.contrib.auth.models import User, Permission
from django.contrib import admin
from django_comment import models
from .test_app.models import TestModel
from django_comment.admin import CommentedItemAdmin, CommentedItemInline
... | genosltd/django-comment | tests/test_admin.py | test_admin.py | py | 4,334 | python | en | code | 0 | github-code | 36 |
72425931625 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
import pandas as pd
from selenium.webdriver.common.by import By
import re
from webdr... | umairahmad89/h-m-scraper | scraper.py | scraper.py | py | 2,718 | python | en | code | 0 | github-code | 36 |
10836961705 | import pandas as pd
from flask import Flask, jsonify, request,json
import pickle
model = pickle.load(open('model.pkl','rb'))
app = Flask(__name__)
@app.route('/', methods=['POST'])
def predict():
# get data
body_dict = json.loads(request.get_data().decode('utf-8'))
data = body_dict['0']
# predic... | liJiansheng/Catchup | LR Model API/app.py | app.py | py | 695 | python | en | code | 0 | github-code | 36 |
18113301417 | import pygame
#зарускаем программу
pygame.init()
#add colors
black=( 0, 0, 0)
white=( 255, 255, 255)
green=( 0, 255, 0)
red=( 255, 0, 0)
size = [700,700]
screen=pygame.display.set_mode(size)
pygame.display.set_caption("Professor Craven's Cool Game")
done = True
clock=pygame.time.Clock()
screen.fill(white)... | AndreiTsukov/PythonFiles | Classwork/pygame/lesson1/snegovik.py | snegovik.py | py | 532 | python | en | code | 0 | github-code | 36 |
496475437 | from dagster_pandas import DataFrame
from google.cloud.bigquery.job import LoadJobConfig, QueryJobConfig
from google.cloud.bigquery.table import EncryptionConfiguration, TimePartitioning
from dagster import InputDefinition, List, Nothing, OutputDefinition, Path, check, solid
from .configs import (
define_bigquery... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-gcp/dagster_gcp/bigquery/solids.py | solids.py | py | 5,243 | python | en | code | 2 | github-code | 36 |
21120272187 | import sys
import pickle
import torch as T
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
sys.path.append("../") # nopep8
from model.dialog_acts import Encoder
from DataLoader.bucket_and_batch import bucket_and_batch
import numpy as np
import string
import random
device = T.device('... | JRC1995/Chatbot | Classifier/train_and_test/train.py | train.py | py | 3,877 | python | en | code | 79 | github-code | 36 |
23435816279 | import unittest
import arcpy
import os
import UnitTestUtilities
import Configuration
class RadialLineOfSightTestCase(unittest.TestCase):
''' Test all tools and methods related to the Radial Line Of Sight tool
in the Military Tools toolbox'''
inputTable = None
outputPoints = None
def setUp(self):
... | tomwuvip/military-tools-geoprocessing-toolbox | utils/test/visibility_tests/RadialLineOfSightTestCase.py | RadialLineOfSightTestCase.py | py | 3,458 | python | en | code | null | github-code | 36 |
477381730 | import re
class DbStructure:
""" Mock class used when working with classes which read the database structure/rows
This handles just a few simple queries: SHOW TABLES, SHOW CREATE TABLE,
and SELECT * FROM
"""
def __init__(self, tables, table_rows):
self.tables = tables
self.table_ro... | cmancone/mygrations | mygrations/tests/mocks/db/mysql/db_structure.py | db_structure.py | py | 4,255 | python | en | code | 10 | github-code | 36 |
36725320029 | # -*- coding: utf-8 -*-
from preprocess import Channel
from workflow.cf_workflow import run as user_cf
from workflow.if_workflow import run as user_if
from workflow.rsif_workflow import run as user_rsif
from workflow.lfm_workflow import run as lfm
from workflow.prank_workflow import run as prank
from flask import Flask... | ang0410/recommend | manage.py | manage.py | py | 4,408 | python | en | code | 0 | github-code | 36 |
32844059000 | import xlrd
import product
def excel_reader(file_name):
# open excel sheet
loc = "C:/Users/andym/PycharmProjects/FacebookScraper/" + file_name
read_list = []
temp_list = []
wb = xlrd.open_workbook(loc)
sheet = wb.sheet_by_index(0)
sheet.cell_value(0, 0)
rows_total = sheet.nrows
c... | andymangibbs/CraigslistScraper | excelRead.py | excelRead.py | py | 1,154 | python | en | code | 0 | github-code | 36 |
37228662161 | from .optimizer import optimizer
import numpy as np
from copy import copy
class DaviesSwannCampey(optimizer):
def __init__(self, func,
x_0 = None,
initial_increment = None,
scaling_constant = 0.1,
interval = [-100, ... | crucis/ConvexOptimization | models/optimizers/DaviesSwannCampey.py | DaviesSwannCampey.py | py | 4,457 | python | en | code | 3 | github-code | 36 |
40961470159 | # coding: utf-8
import datetime
from simpleai.search import astar, SearchProblem
from simpleai.search.viewers import BaseViewer
class RobotProblem(SearchProblem):
def __init__(self, pallets_a_entregar):
'''
En el estado necesitamos llevar la posición de los pallets, la del
robot, si tenemo... | ucse-ia/ucse_ia | practicas/robot_pallets.py | robot_pallets.py | py | 5,721 | python | es | code | 5 | github-code | 36 |
70807051303 | testCase = int(input())
for i in range(1, testCase+1):
money = int(input())
first = money//50000
money %= 50000
second = money//10000
money %= 10000
third = money//5000
money %= 5000
fourth = money//1000
money %= 1000
fifth = money//500
money %= 500
sixth = mon... | unho-lee/TIL | CodeTest/Python/SWEA/D2_1970.py | D2_1970.py | py | 515 | python | en | code | 0 | github-code | 36 |
23129694122 | import speech_recognition as sr
from state import State
from ClientThread import*
import threading
class VoiceRecognizer:
State.event = 'create'
def __init__(self):
self.client = ClientThread()
self.r = sr.Recognizer()
self.speech = ''
self.recognitionResult = ''
se... | Moufdi96/Projet_IHM_Multimodal | speecheRecognizer.py | speecheRecognizer.py | py | 1,682 | python | en | code | 0 | github-code | 36 |
22543357667 | import jwt
import json
import logging
import time
from jwt import ExpiredSignatureError
logger = logging.getLogger("handler_logger")
logger.setLevel(logging.DEBUG)
def jwt_encode(obj):
try:
return jwt.encode(obj,
'#0wc-0-#@#14e8rbk#bke_9rg@nglfdc3&6z_r6nx!q6&3##l=',
... | gaurav3g/chat-sls-server | backend/utils/jwt_utils.py | jwt_utils.py | py | 842 | python | en | code | 0 | github-code | 36 |
31552686748 | import sys
import numpy as np
def transform_mat(h,V,T,N,C):
from transformVMat import transformV
print("\nTransforming h,v,T,N,C into converged basis...\n")
return C.T * h * C, \
transformV(V,C), \
C.T * T * C, \
C.T * N * C
def two_idx_mat_add_spin(Mat):
dim = Mat.shape[0]
return... | sskhan67/GPGPU-Programming- | QODE/Applications/Be_n/dimer_H/run_template/pyquante_scf/pyquante_to_mine.py | pyquante_to_mine.py | py | 2,255 | python | en | code | 0 | github-code | 36 |
37349168777 | from ase.units import Ha
import numpy as np
from my_gpaw.xc.fxc import KernelWave, XCFlags, FXCCache
from my_gpaw.xc.rpa import GCut
from my_gpaw.response.pair_functions import SingleQPWDescriptor
from my_gpaw.pw.descriptor import PWMapping
class G0W0Kernel:
def __init__(self, xc, context, **kwargs):
sel... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/response/g0w0_kernels.py | g0w0_kernels.py | py | 2,219 | python | en | code | 0 | github-code | 36 |
17392881824 | from sorter import Sorter
class QuickSort(Sorter):
name = "Quick Sort"
def __init__(self):
super(QuickSort, self).__init__()
def sort(self, L):
self._log(L)
return self.quick_sort(L, 0, len(L)-1)
def partition(self, L, lo, hi):
# choose pivot
pivot = L[hi]
... | ekeilty17/Personal-Projects-In-Python | Sorting/quick_sort.py | quick_sort.py | py | 1,027 | python | en | code | 1 | github-code | 36 |
21499220627 | 'Implementation of the Insertion Sort Algorithm.'
print("***** Implementation of Insertion Sort Algorithm *****")
def InsertionSort(theSeq):
n = len(theSeq)
for i in range(1, n):
'saving the value to the position.'
value = theSeq[i]
'Finding the position where values fits in the orde... | amshrestha2020/ConsoleAppPython | InsertionSort.py | InsertionSort.py | py | 870 | python | en | code | 0 | github-code | 36 |
31061296375 |
from ..utils import Object
class GetBackgroundUrl(Object):
"""
Constructs a persistent HTTP URL for a background
Attributes:
ID (:obj:`str`): ``GetBackgroundUrl``
Args:
name (:obj:`str`):
Background name
type (:class:`telegram.api.types.BackgroundType`):
... | iTeam-co/pytglib | pytglib/api/functions/get_background_url.py | get_background_url.py | py | 801 | python | en | code | 20 | github-code | 36 |
26166080106 | import argparse
import os
import cv2
import matplotlib.pyplot as plt
import maxflow
import networkx as nx
import numpy as np
class GraphCuts:
def __init__(self, src, target, mask, save_graph=False):
"""
Initialize the graph and computes the min-cut.
:param src: image to be blended
... | c1a1o1/graphcut-textures | src/graphcut_textures.py | graphcut_textures.py | py | 7,197 | python | en | code | 0 | github-code | 36 |
534546914 | import pygame as p
from Chess import ChessEngine, SmartMoveFinder, DataToLearn, VisualizData
import time
import xml.etree.ElementTree as gfg
import os.path
from Chess.DataTree import TreeNode
WIDTH = HEIGHT = 512
DIMENSION = 8
SQ_SIZE = HEIGHT // DIMENSION
MAX_FPS = 15
IMAGES = {}
WHITE_PIECE_CAPTUED = []
BLACK_PIECE... | KaiBaeuerle/chessAI | Chess/ChessMain.py | ChessMain.py | py | 16,775 | python | en | code | 0 | github-code | 36 |
11439201598 | from itertools import product
from typing import Union
Coor = Union[tuple[int, int, int], tuple[int, int, int, int]]
CubeMap = set[Coor]
def get_input() -> CubeMap:
with open('input.txt', 'r') as f:
return {(i, j, 0) for i, l in enumerate(f.readlines()) for j, ch in enumerate(l) if l and ch == '#'}
def n... | markopuzav/aoc-2020 | day17/solution.py | solution.py | py | 1,413 | python | en | code | 0 | github-code | 36 |
16209591268 | # -*- coding: utf-8 -*-
#@author: Lalo Valle
import math
from Programa import *
programa = Programa.programa()
""" Lista de nombre de los tokens """
tokens = [
'NUMERO',
'INDEFINIDA',
'VARIABLE',
'FUNCION',
'CONSTANTE',
'CADENA',
'PRINT',
'INCREMENTO',
'DECREMENTO',
'OR', # Operadores lógicos
'AND',
'M... | LaloValle/HOC5 | Recursos.py | Recursos.py | py | 2,900 | python | es | code | 0 | github-code | 36 |
30677471039 | #!/usr/bin/env python
import os
import sys
import glob
from mars_utils import *
SCRIPT_PATH = os.path.split(os.path.realpath(__file__))[0]
BUILD_OUT_PATH = 'cmake_build/watchos'
INSTALL_PATH = BUILD_OUT_PATH + '/Darwin.out'
WATCH_BUILD_SIMULATOR_CMD = 'cmake ../.. -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=... | Tencent/mars | mars/build_watch.py | build_watch.py | py | 3,361 | python | en | code | 16,975 | github-code | 36 |
4619575632 | #!/usr/bin/env python
import django
from net_system.models import NetworkDevice, Credentials
from pprint import pprint
rtrs = {
"test-sw1": {
"port": "22",
"username": "admin1",
"eapi_port": "443",
"password": "99saturday",
"ip": "1.1.1.1",
"device_type": "arista_eos"
},
"test-sw2":... | jerry-bonner/pynet | class8/ex3.py | ex3.py | py | 1,335 | python | en | code | 0 | github-code | 36 |
11917002254 | from django.db import models
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
import uuid
from users.models import Profile
from ckeditor.fields import RichTextField
# Create your models here.
def user_directory_path(instance,filename):
return 'blogs/{0}/{1... | minarefaat1002/blog_website | blogs project/blog/models.py | models.py | py | 2,654 | python | en | code | 0 | github-code | 36 |
14172483861 | from pprint import pprint as pp
from os import SEEK_SET
lst_0 = [
'Андрей Говорухи\t\t 6 6 1 4 9 9 10 4 8 2 3 8\n',
'Василий Петров\t\t 2 9 4 7 6 6 3 6 5 5 2 4\n',
'Гавриил Варфаломеев\t 10 10 4 10 7 9 4 6 8 1 1 1\n',
'Игнат Тюльпанов\t\t 8 1 4 1 1 5 2 5 2 2 10 8\n',
'Илья Муромцев\t\t 1 6 4 7 10 9 5 3 7 4 7 2\n',... | Bidlevskyi/hometasks_python | htask14.py | htask14.py | py | 1,360 | python | ru | code | 0 | github-code | 36 |
17230717962 | import numpy as np
def load_data(path):
f = open(path)
x = []
y = []
for line in f.readlines():
data = line.strip().split('\t')
feature = data[0].split(' ')
feature.insert(0, '1')
x.append(feature)
y.append(data[-1])
x = np.array(x, dtype=np.flo... | VJaGG/machine-learning | foundations/code/utils.py | utils.py | py | 638 | python | en | code | 0 | github-code | 36 |
12785925952 | from py_reconhecimento import TReconhecimento
from py_cadastro import TCadastro
from py_principal import TPrincipal
from kivy.uix.screenmanager import ScreenManager
from kivy.app import App
from kivy import Config
from kivy.lang import Builder
Config.set('graphics', 'resizable', True)
Config.set('kivy', 'exit_on_escap... | eticialima/recognitionfacial | project/py_main.py | py_main.py | py | 1,088 | python | en | code | 3 | github-code | 36 |
15715933133 | import json
import os
import sys
from tempfile import NamedTemporaryFile
DEPRECATED_KEYS = [
'site_yaml_path',
'inventory_config',
'variable_manager_config',
'passwords',
'modules',
'private_key_file']
LIST_TYPES = ['skip-tags', 'tags']
DIRECT_PARAMS = ['start_at_task', 'scp_extra_args', 'sftp... | christaotaoz/shkd-work | work/doc/srv6+5G/ansible8.82/cloudify_ansible_sdk/__init__.py | __init__.py | py | 3,848 | python | en | code | 0 | github-code | 36 |
74504081705 | import turtle
import os
#window = wn
wn = turtle.Screen()
wn.title("Developed by: Map The Coder")
wn.bgcolor("purple")
wn.setup(width=800, height=600)
wn.tracer(0)
#a tracer stops the window from updating, therfore has to be manually updated. This allows me to speed up the game on command
# Score
score_a = 0
score_b ... | jeremyamartins/pong.python | pong.py | pong.py | py | 3,166 | python | en | code | 0 | github-code | 36 |
20857149837 | import pandas as pd
from pandas.testing import assert_frame_equal
from sportpools.model.tennis import TennisPool
from sportpools.model.emulator import TennisPoolEmulator
ROUNDS = ["r64", "r32", "r16", "qf", "sm", "f", "w"]
def test_determine_black_points():
seeds = pd.DataFrame({
'seed': [1, 4, 6, 32, 6... | bartcode/sportpools-tennis | tests/test_tennis_pool.py | test_tennis_pool.py | py | 2,212 | python | en | code | 0 | github-code | 36 |
29212263006 | import numpy as np
import pandas as pd
import datetime, time
# 处理输入时间戳，当前汽车驶入时间戳转化为sumo中以秒为单位
def time_processing(timeStamp):
timeArray = time.localtime(timeStamp)
# 时间时区设置转换
base_time = datetime.datetime(timeArray[0], timeArray[1], timeArray[2], 0, 0, 0)
# 获取当日日期定位到00:00:00
base_time = time.mktim... | Rossions/TCSC | DataProcessing/chengdu/processing_abandon.py | processing_abandon.py | py | 2,020 | python | en | code | 1 | github-code | 36 |
25615151962 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import os
import pandas as pd
from datetime import datetime
from txt_table import txt_table
import re
# 将txt文件转化为csv
def transfer_data(folder):
#建立使用文件列表
filenames=[]
filelist=[]
filexlsx=[]
#遍历文件寻找txt
files=os.walk(folder)
... | hellboy1990/qixiang_explore | qixiang_check_v2.py | qixiang_check_v2.py | py | 7,538 | python | en | code | 5 | github-code | 36 |
72603582824 | a = int(input())
b = int(input())
c = []
d = 0
f = []
for i in range(a + b):
c.append(input())
for i in c:
if i not in f:
f.append(i)
d += 1
else:
d -= 1
if d != 0:
print(d)
else:
print('Таких нет')
| Reagent992/yandex_academy | 3.2 Множества, словари/05.py | 05.py | py | 256 | python | en | code | 0 | github-code | 36 |
73224987304 | # views.py
from django.shortcuts import get_object_or_404
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from calculator.models import Report
from calculator.serializers import ReportSerializer, ReportCalculationSerializer
import pandas as p... | StefKal/superdupertax | superdupertax/calculator/views.py | views.py | py | 2,749 | python | en | code | 0 | github-code | 36 |
73692412265 | import copy
import mock
import testtools
from stackalytics.processor import default_data_processor
from stackalytics.processor import normalizer
from stackalytics.tests.unit import test_data
class TestDefaultDataProcessor(testtools.TestCase):
def setUp(self):
super(TestDefaultDataProcessor, self).setUp(... | Mirantis/stackalytics | stackalytics/tests/unit/test_default_data_processor.py | test_default_data_processor.py | py | 7,360 | python | en | code | 12 | github-code | 36 |
8413029677 | import sqlite3
connection = sqlite3.connect('data.db')
cursor = connection.cursor()
create_table = "CREATE TABLE IF NOT EXISTS hotels (hotel_id text PRIMARY KEY, name text, stars real, price real, city text)"
cursor.execute(create_table)
connection.commit()
connection.close() | mariorodeghiero/flask-python-rest-api-course | create_db.py | create_db.py | py | 279 | python | en | code | 0 | github-code | 36 |
74791240424 | import math
import json
import random
import argparse
def genRandomFeatures(n):
features = []
for i in range(0, n):
lat = (random.random() - 0.5) * 360.0
lng = (random.random() - 0.5) * 180.0
geom = { 'type': 'Point', 'coordinates': [lat, lng] }
props = { 'class': 1 if random.random() > 0.5 else 0 ... | decision-labs/mapnik | benchmark/utils/random_points.py | random_points.py | py | 1,569 | python | en | code | 0 | github-code | 36 |
7136369222 | # -*- coding: utf-8 -*-
# ***************************************************
# * File : timefeatures.py
# * Author : Zhefeng Wang
# * Email : wangzhefengr@163.com
# * Date : 2023-04-19
# * Version : 0.1.041901
# * Description : description
# * Link : link
# * Requirement : 相关模块版本需求... | wangzhefeng/tsproj | utils/timefeatures.py | timefeatures.py | py | 17,505 | python | en | code | 0 | github-code | 36 |
24417230499 | from os.path import exists
from pyimpspec.data.data_set import (
DataSet,
dataframe_to_data_sets,
)
from typing import List
def parse_spreadsheet(path: str, **kwargs) -> List[DataSet]:
"""
Parse a spreadsheet (.xlsx or .ods) containing one or more impedance spectra.
Parameters
----------
... | vyrjana/pyimpspec | src/pyimpspec/data/formats/spreadsheet.py | spreadsheet.py | py | 1,039 | python | en | code | 12 | github-code | 36 |
75072637544 | from vedo import Mesh, show, Lines
mesh_a = Mesh("../data/mouse_limb_a.stl").c("red5")
mesh_b = Mesh("../data/mouse_limb_b.stl").c("green5")
# Here user clicks on mesh A and then B to pick 5+5 landmarks
show("Click meshes & press i", mesh_a, mesh_b).clear()
# This shows that automatic alignment may be not good enoug... | BiAPoL/PoL-BioImage-Analysis-TS-Early-Career-Track | docs/day2a_image_segmentation/vedo_material/scripts/10-morph_ab.py | 10-morph_ab.py | py | 1,376 | python | en | code | 6 | github-code | 36 |
34594770015 | """OpenAPI schema utility functions."""
from io import StringIO
_DEFAULT_EXAMPLES = {
"string": "string",
"integer": 1,
"number": 1.0,
"boolean": True,
"array": [],
}
_DEFAULT_STRING_EXAMPLES = {
"date": "2020-01-01",
"date-time": "2020-01-01T01:01:01Z",
"password": "********",
... | sphinx-contrib/openapi | sphinxcontrib/openapi/schema_utils.py | schema_utils.py | py | 4,446 | python | en | code | 103 | github-code | 36 |
43298189764 | from rpython.rtyper.lltypesystem import rffi, lltype
from pypy.module.cpyext.api import (
cpython_api, cpython_struct, bootstrap_function, build_type_checkers,
CANNOT_FAIL, Py_ssize_t, Py_ssize_tP, PyObjectFields, slot_function)
from pypy.module.cpyext.pyobject import (
decref, PyObject, make_ref, make_type... | mozillazg/pypy | pypy/module/cpyext/sliceobject.py | sliceobject.py | py | 4,493 | python | en | code | 430 | github-code | 36 |
8983073054 | from datetime import datetime
from typing import Optional, Union
class Poll:
"""
Slot class for each Pool object.
"""
MAX_OPTIONS = 10
MIN_OPTIONS = 2
__slots__ = [
"_message_id",
"_channel_id",
"_question",
"_options",
"_date_created_at",
"_us... | TheXer/Jachym | src/ui/poll.py | poll.py | py | 1,559 | python | en | code | 11 | github-code | 36 |
40618220774 | from django.conf.urls import url
from . import views
urlpatterns=[
url(r'^register/',views.mapiview.as_view()),
url(r'^editview/',views.mapiview1.as_view()),
url(r'^update/',views.mapiview2.as_view()),
url(r'^vcus/',views.vcustomer),
url(r'^registercus/',views.post),
url(r'^viewtr/(?P<idd>\w+)',... | jannamariyam/GOLD_APP | SPRINT 4/web/goldinapp/customer/urls.py | urls.py | py | 366 | python | en | code | 0 | github-code | 36 |
15131148748 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def reverseList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
# 아무것도 주어지지 않은 경우
if head is None:
... | EnteLee/practice_algorithm | leetcode/206_reverse_linked_list/reverse_linked_list_yyj.py | reverse_linked_list_yyj.py | py | 568 | python | en | code | 0 | github-code | 36 |
72173860264 | import math
def sieve_of_sundaram(n):
k = (n - 2) // 2 # sınır belirliyor
prime_list = []
integers_list = [True] * (k + 1) # sınır kadar dizi oluşturuyor
for i in range(1, k + 1): # sınır kadar eleman dönüyor.
j = i
while i + j + 2 * i * j <= k: # 4 < 50 7 15
integers_... | bugramuazmujde/ProjectEuler | problem_50_consecutive_prime_sum.py | problem_50_consecutive_prime_sum.py | py | 1,143 | python | en | code | 0 | github-code | 36 |
33006855107 | import csv
import io
from nltk.tokenize import word_tokenize
import sys
reload(sys)
sys.setdefaultencoding('ISO-8859-1')
def findLowest(topWords):
result = topWords.keys()[0]
for word in topWords:
if(topWords[word] < topWords[result]):
result = word
return result
with io.open("old_tweets.csv", encoding = "IS... | Temirlan97/WhatTwitterFeels | wordBag/countWords.py | countWords.py | py | 1,230 | python | en | code | 0 | github-code | 36 |
40974261041 | #Import libraries
import numpy as np
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify
#Database Connection
engine = create_engine("sqlite:///Resources/hawaii.sqlite")
#Map database
Base = au... | AJ-Paine/10-Hawaii-Temperature-Exploration | app.py | app.py | py | 3,710 | python | en | code | 0 | github-code | 36 |
323607876 | """added Client Favourite and product views
Revision ID: bcc08ae9bed7
Revises: 399549c08a2a
Create Date: 2020-01-24 22:55:04.098191
"""
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = 'bcc08ae9bed7'
down_revision = '399549c08a2a'
branch_labe... | Dsthdragon/kizito_bookstore | migrations/versions/bcc08ae9bed7_added_client_favourite_and_product_views.py | bcc08ae9bed7_added_client_favourite_and_product_views.py | py | 1,741 | python | en | code | 0 | github-code | 36 |
20885862962 | # flake8: noqa
import nltk
nltk.download("brown")
nltk.download("names")
import numpy as np
import multiprocessing as mp
import string
import spacy
import os
os.system("python -m spacy download en_core_web_sm")
from sklearn.base import TransformerMixin, BaseEstimator
from normalise import normalise
import pandas as ... | Lolik-Bolik/Hashing_Algorithms | utils/process_book.py | process_book.py | py | 2,868 | python | en | code | 2 | github-code | 36 |
7147825929 | #!/usr/bin/env python3
import re
import sys
import linecache
from pathlib import Path
regex = re.compile('#?(.*)\s?=\s?(.*)')
data = ''
try:
fpath = str(sys.argv[1])
if not Path(fpath).is_file():
raise Exception("file path is invalid or not a file")
except:
print("Error: file not provided or inval... | japtain-cack/docker-marid | files/configToRemco.py | configToRemco.py | py | 1,338 | python | en | code | 0 | github-code | 36 |
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