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
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
26659129001 | def normalize_scores(values):
# This normalise function rescales the users score between a given range for better display
range_min = 0
range_max = 6
min_score = min([value["score"] for value in values])
max_score = max([value["score"] for value in values])
# If all question responses are the s... | ClimateMind/climatemind-backend | app/personal_values/normalize.py | normalize.py | py | 783 | python | en | code | 14 | github-code | 90 |
19444691645 | import django
import sys, os
rootpath = os.path.dirname(os.path.realpath(__file__)).replace("\\", "/")
rootpath = rootpath.split("/apps")[0]
# print(rootpath)
syspath = sys.path
sys.path = []
sys.path.append(rootpath) # 指定搜索路径绝对目录
sys.path.extend([rootpath + i for i in os.listdir(rootpath) if i[0] != "."]) # 将工程目录下的... | LianjiaTech/sosotest | AutotestWebD/apps/webportal/scripts/web_portal_ui_coverage.py | web_portal_ui_coverage.py | py | 10,456 | python | en | code | 489 | github-code | 90 |
31700154187 | for x in range(6):
print("X")
a = 6
while(a == 6):
print("a")
break
while True:
print(a)
a = a +1
if(a==10):
break
b = 10
print(b==90) | mingabire809/Python-Work | Track/track.py | track.py | py | 169 | python | en | code | 0 | github-code | 90 |
9043954526 | import streamlit as st
import yfinance as yf
import pandas as pd
import plotly.express as px
import style as style
from datetime import datetime
#import numpy as np
#import pandas as pd
# import yfinance as yf
# #import time
# import matplotlib.pyplot as plt
# import plotly.express as px
# import seaborn as sns
# impor... | robertoricci/QAF | app_bolsa_eleicoes.py | app_bolsa_eleicoes.py | py | 5,959 | python | en | code | 0 | github-code | 90 |
25613781712 | #Les fonctions de base sur la manipulation des arbres binaires.
def creerArbre(val,gauche,droit):
return [val,[gauche,[],[]],[droit,[],[]]]
def vide(a):
return a==[]
def val(a):
if a!=[]:
return a[0]
else:
return None
def filsGauche(a):
if not v... | IDSOUGOU/Binary-Tree | exercices Arbres.py | exercices Arbres.py | py | 8,538 | python | fr | code | 0 | github-code | 90 |
16023138156 | import os.path
import glob
from blender import run_blender
_CYCLES_DEVICE = "OPTIX"
def _get_python_expr(samples, motion_blur):
return f"""
import bpy
scene = bpy.context.scene
scene.cycles.samples = {samples}
scene.render.use_motion_blur = {motion_blur}
"""
def render_ble... | george-hawkins/boto3-renderer | render.py | render.py | py | 1,319 | python | en | code | 0 | github-code | 90 |
18410782159 | n=int(input())
ans=0
#約分
def make_divisors(n):
divisors = []
for i in range(1, int(n**0.5)+1):
if n % i == 0:
divisors.append(i)
if i != n // i:
divisors.append(n//i)
# divisors.sort()
return divisors
l=make_divisors(n)
for li in l:
m=(n-li)//li
if l... | Aasthaengg/IBMdataset | Python_codes/p03050/s429239302.py | s429239302.py | py | 355 | python | en | code | 0 | github-code | 90 |
20078630497 | DIGITAL_STORAGE = {
"name": "Digital Storage",
"units": [
{
"name": "Bit",
"symbol": "b"
},
{
"name": "Hecobit",
"symbol": "hb"
},
{
"name": "Kilobit",
"symbol": "kb"
},
{
"name": "Megabit",
"symbol": "Mb"
},
{
"name": "Gigabi... | giangpham95/unit-converters | units/digital_storage.py | digital_storage.py | py | 2,278 | python | la | code | 0 | github-code | 90 |
18531081649 | n=int(input())
l=list(map(int,input().split()))
bitlist=[]
for i in range(n):
bit=[]
num=l[i]
for j in range(20):
bit.append(num%2)
num//=2
bitlist.append(bit)
left=0
right=0
b=True
ans=1
now={}
for i in range(20):
if bitlist[0][i]==1:
now[2**i]=1
else:
now[2**i]=0
b=1#b=1の時右を伸ばす
while right... | Aasthaengg/IBMdataset | Python_codes/p03340/s473925940.py | s473925940.py | py | 747 | python | en | code | 0 | github-code | 90 |
22219857130 | r"""
File related utilities.
"""
# Python 2.5 compatibility
from __future__ import with_statement
from __future__ import absolute_import
import os
import six
from six.moves import zip
import nxpy.core.past
def compare(file1, file2, ignore_eof=True, encoding=None):
r"""
Compare two text files for equa... | nmusatti/nxpy | libs/file/nxpy/core/file/file.py | file.py | py | 1,304 | python | en | code | 7 | github-code | 90 |
70943368297 | import time
t1 = time.time()
import re
def backward_segment(text, dic):
word_list = []
i = len(text) - 1
while i >= 0: # 掃描位置作為終點
longest_word = text[i] # 掃描位置的單字
for j in range(0, i): # 遍歷[0, i]區間作為待查詢詞語的... | rwrewrwer/forward_backward_segment | forward_backward.py | forward_backward.py | py | 4,692 | python | en | code | 0 | github-code | 90 |
18032869439 | from heapq import heappush,heappop,heapify
from collections import deque,defaultdict,Counter
import itertools
from itertools import permutations,combinations
import sys
import bisect
import string
import math
import time
import random
def I():
return int(input())
def MI():
return map(int,input().split())
def LI... | Aasthaengg/IBMdataset | Python_codes/p03837/s259206870.py | s259206870.py | py | 2,185 | python | en | code | 0 | github-code | 90 |
32015688341 | import subprocess
import sys
try:
import streamlit as st
from datetime import date
import yfinance as yf
from neuralprophet import NeuralProphet
from plotly import graph_objs as go
except ImportError:
subprocess.check_call([sys.executable, "-m", "pip", "install", 'streamlit'])
subprocess.... | arivvid27/Track | main.py | main.py | py | 2,753 | python | en | code | 0 | github-code | 90 |
8331596794 | ### SSH Username & password for netbox importer ###
username = None
password = None
### SSH connection timeout
conn_timeout = 10
### Token from flask SECRET_KEY ###
TOKEN = ""
###
config_file = None
logging_file = None
### LDAP Settings ###
# If you need ldap (AD) login
AD_USE_SSL = False
AD_PORT = 389
AD_ADDRESS = ""... | Sivolen/NABS | config_example.py | config_example.py | py | 1,422 | python | en | code | 2 | github-code | 90 |
43923487287 | from distutils.errors import DistutilsOptionError
from setuptools import Command
from pkg_resources import safe_name, working_set
from pkglib.setuptools import dependency, graph
from base import CommandMixin
class depgraph(Command, CommandMixin):
""" Print a dependency graph of this package """
description... | micktwomey/pkglib | pkglib/setuptools/command/depgraph.py | depgraph.py | py | 4,343 | python | en | code | null | github-code | 90 |
16991422487 | """Core functions for econ-sim"""
import datetime
import sys
class world:
"""The games world object, contains all information about a game"""
def __init__(self, name, compname):
self.name = name
self.date = datetime.date(1950, 1, 1)
self.player_comp = player_comp(compname)
self.... | ITSecspam/Econ-Sim | core.py | core.py | py | 4,218 | python | en | code | 1 | github-code | 90 |
17227109375 | #!/usr/bin/env python3
''' Database code for
author: Lai Man Tang(Nancy)
email: cloudtang030@gmail.com
'''
import psycopg2
'''
create view articlesLog as
select au.name as author, a.title, l.id as logID, l.status as logStatus
from log as l, articles as a, authors as au
where l.path like concat('%/', a.slug) a... | littlecloud1/news-logs-analysis | newsdb.py | newsdb.py | py | 1,697 | python | en | code | 0 | github-code | 90 |
18392812959 | s = input()
aaa = 0
ans = 0
i = 0
while i < len(s) - 1:
if s[i] == 'A':
aaa += 1
elif s[i:i+2] == 'BC':
ans += aaa
i += 1
else:
aaa = 0
i += 1
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p03018/s174703130.py | s174703130.py | py | 203 | python | en | code | 0 | github-code | 90 |
27682550339 | import zipfile
import os
import re
import hashlib
import requests
import codecs
import csv
import openpyxl
# задание 1
directory_to_extra_to = 'C:\\zip folder'
arch_file = 'C:\\test.zip'
test_zip = zipfile.ZipFile('test.zip', 'r')
test_zip.extractall(directory_to_extra_to)
test_zip.close()
# задание №2
t... | hoangnv2906/hoangnv2906.github.io | lab1python.py | lab1python.py | py | 3,735 | python | en | code | 0 | github-code | 90 |
21775592871 | from PYmodule import *
t1 = time.time()
f_seed = 0.01
fMname = '../rhoM_evol.txt'# %int(abs(np.log10(f_seed)))
fLname = '../rhoL_evol.txt'
prex = '../ndraw100'
fMname = prex+'rhoM_evol.txt'# %int(abs(np.log10(f_seed)))
fLname = prex+'rhoL_evol.txt'
f_seedlabel = 'f%d'%abs(int(np.log10(f_seed)))
prex = '../4p/M0r8_' ... | lovetomatoes/BHMF_QLFz4z5 | h5rhozplot.py | h5rhozplot.py | py | 2,557 | python | en | code | 0 | github-code | 90 |
43040236467 | #### MFI
from itertools import combinations
def pruneCandidatesUsingMFS(candidate_itemsets, MFS):
candidate_itemsets = candidate_itemsets.copy()
for itemset in candidate_itemsets.copy():
if any(all(_item in _MFS_itemset for _item in itemset) for _MFS_itemset in MFS):
candidate_itemsets.remove(itemset)
... | KausikN/BTech_BigData_Files | Assignment_1/Codes/PincerSearch.py | PincerSearch.py | py | 7,508 | python | en | code | 1 | github-code | 90 |
18435306889 |
A, B = map(int, input().split())
def func(n):
res = 0 if ((n + 1) // 2) % 2 == 0 else 1
res ^= n if n % 2 == 0 else 0
return res
print(func(B) ^ func(A - 1))
| Aasthaengg/IBMdataset | Python_codes/p03104/s803215834.py | s803215834.py | py | 175 | python | ru | code | 0 | github-code | 90 |
70165978536 | import webbrowser
import imaplib
import bs4
import email
from email.header import decode_header
# Required Config for Gmail accounts.
# Others, please look up the documentation....
# Or let me know in the comment section to make another video :)
imaplib._MAXLINE = 10000000
IMAP_SERVER = 'imap.gmail.com' # fo... | Glort572/python-email-scripts | python_delete_and_unsub_script.py | python_delete_and_unsub_script.py | py | 4,486 | python | en | code | 0 | github-code | 90 |
30191427257 | import os
import random
import unittest
from distutils.util import strtobool
from typing import Union
import torch
import PIL.Image
import PIL.ImageOps
import requests
from packaging import version
global_rng = random.Random()
torch_device = "cuda" if torch.cuda.is_available() else "cpu"
is_torch_higher_equal_than_... | stochasticai/x-stable-diffusion | FlashAttention/diffusers/src/diffusers/testing_utils.py | testing_utils.py | py | 2,780 | python | en | code | 520 | github-code | 90 |
20412688229 | from re import sub, findall
import nltk
from string import punctuation
from nltk.corpus import stopwords
from unidecode import unidecode
from nltk.stem import RSLPStemmer
from sqlalchemy import create_engine, text
from src.settings import TABLE_NAME, DATABASE_STRING_DEFAULT
from src.exceptions.exceptions import Databas... | douglasdcm/search-jobs | src/helper/helper.py | helper.py | py | 4,325 | python | en | code | 7 | github-code | 90 |
18045918629 | # -*- coding: utf-8 -*-
"""
Created on Thu May 14 18:16:23 2020
@author: shinba
"""
s = input()
start = s[0]
cnt1 = 0
for i in range(1,len(s)):
if s[i] == start:
continue
cnt1 += 1
start = s[i]
start = s[-1]
cnt2 = 0
for i in range(len(s)-1,-1,-1):
if s[i] == start:
continue
cn... | Aasthaengg/IBMdataset | Python_codes/p03945/s473141427.py | s473141427.py | py | 367 | python | en | code | 0 | github-code | 90 |
24643501401 | import pickle as pk
from pathlib import Path
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
#Get raw smiles dataset
path_to_raw_smiles_data = Path.cwd().joinpath("training_data","smiles","training_data.pkl")
raw_smiles_equations = pk.load( open( path_to_raw_smiles... | Dr-Musho-Research-Group/AGoRaS | src/create_tokenized_dataset.py | create_tokenized_dataset.py | py | 1,090 | python | en | code | 3 | github-code | 90 |
31364608970 | import math
import scipy.integrate as I
import numpy as np
from numpy import linalg as LA
import matplotlib.pyplot as plt
from matplotlib import mlab
Eps = 1
p = 10
q = 1
a1 = 1.23
a2 = 1.05
w = 1.54
def a1(w):
a1 = (-math.sin(p*w) - Eps*w*math.cos(p*w)) / math.sin((p-q)*w)
return a1
def a2(w... | Daniel-Grezhdieru/Theory | tusa.py | tusa.py | py | 1,094 | python | en | code | 0 | github-code | 90 |
13642396548 | """Dump information from various custom location files into a json format in tools/dump."""
import inspect
import json
import os
import sys
from copy import deepcopy
from enum import IntEnum, auto
import randomizer.Lists.CBLocations.AngryAztecCBLocations
import randomizer.Lists.CBLocations.CreepyCastleCBLocations
impo... | 2dos/DK64-Randomizer | dumper.py | dumper.py | py | 18,714 | python | en | code | 44 | github-code | 90 |
21070603051 | from flask import Response
import json
class JSON:
status_code = 200
@staticmethod
def json_response(obj):
response = Response(
response=json.dumps(obj, default=str, sort_keys=False),
status=JSON.status_code,
mimetype="application/json",
)
retur... | krobison10/apply-v2-api | app/utils/json.py | json.py | py | 331 | python | en | code | 0 | github-code | 90 |
10555059406 | import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import plotly.express as px
tips = px.data.tips()
col_options = [dict(label=x, value=x) for x in tips.columns]
app =dash.Dash(__name__)
app.layout = html.Div(children= [
html.H1('Demo: ... | caiquemiranda/studies-data-visualization | Web-dash/demo3.py | demo3.py | py | 628 | python | en | code | 0 | github-code | 90 |
3939168577 | # -*- coding: utf-8 -*-
"""
Convert photo data to numpy data.
"""
import numpy as np
from PIL import Image #Pythonの画像処理ライブラリ
import glob, random
# 指定したフォルダ内の画像をnumpy形式のデータに変換＋ラベルのリストを生成
def glob_imgs(imgFolderPath, imgExt, imgCount, imgW, imgH, classes, label):
# ファイルリストを取得し順番をシャッフル
files = glob.glob(img... | okagen/pyML | b02-2-Make_NPZ.py | b02-2-Make_NPZ.py | py | 2,637 | python | ja | code | 0 | github-code | 90 |
19193225149 | from sys import stdin, stdout
from collections import defaultdict, deque
def bfs(start):
q = deque()
q.append([start, 0])
visited[start] = True
dist[start] = 0
while len(q) > 0:
node, d = q.popleft()
if node == n:
return True
for x in graph[node... | ashutoshdumiyan/CSES-Solutions | graphs/messageroute.py | messageroute.py | py | 1,044 | python | en | code | 0 | github-code | 90 |
36272134674 | # general app constants
URL_GITHUB = "https://github.com/Soundwave2142/music-backuper"
# theme and quick element related
THEME_DEFAULT_NAME = 'default'
THEME_NIGHT_NAME = 'default_night'
# config keys
CONFIG_KEY_BACKUPPER_PATH_FROM = "backupper_remembered_path_from"
CONFIG_KEY_BACKUPPER_PATH_TO = "backupper_remembere... | Soundwave2142/music-backuper | src/providers/constants.py | constants.py | py | 392 | python | en | code | 0 | github-code | 90 |
35349287137 | recongnise_options = {
"API": "google",
"energy_threshold": True
}
voice_options = {
"gender": "female",
"speech_rate": 140,
}
ai_options = {
"learn_file": "voca.aiml",
"brain_file": "voca.dump",
"predicates": {
"name": "Voca",
"master": "Sreyas",
"botmaster": "Srey... | Sreyas-Sreelal/Voca | config.py | config.py | py | 364 | python | en | code | 1 | github-code | 90 |
14716782619 | import torch.utils.data as data
import os
from PIL import Image
import torchvision.transforms as tt
from .PairAug import pair_augmentation
import platform
import numpy as np
class RESIDE_Dataset(data.Dataset):
def __init__(self, path, img_size, if_train, trans_hazy=None, trans_gt=None, if_identity_name=... | guijiejie/AADN | defense_utils/dataset/RESIDEDataset.py | RESIDEDataset.py | py | 3,163 | python | en | code | 3 | github-code | 90 |
18372780529 | N = int(input())
A = list(map(int, input().split(' ')))
a = 0
for i in range(N):
a += (-1) ** i * A[i]
res = [0 for _ in range(N)]
res[0] = a
print('{} '.format(res[0]), end='')
for i in range(1, N - 1):
res[i] = 2 * A[i-1] - res[i-1]
print('{} '.format(res[i]), end='')
res[N-1] = 2 * A[N-2] - res[N-2]
print(res[... | Aasthaengg/IBMdataset | Python_codes/p02984/s345767143.py | s345767143.py | py | 325 | python | en | code | 0 | github-code | 90 |
30623877040 | import pytest
from dynamic.climbing_stairs import Solution
"""
You are climbing a staircase. It takes n steps to reach the top.
Each time you can either climb 1 or 2 steps. In how many distinct ways can you climb to the top?
"""
@pytest.mark.parametrize(
"n,expected",
[
(2, 2),
(3, 3),
... | sledenev/algos | dynamic/tests/test_climbing_stairs.py | test_climbing_stairs.py | py | 488 | python | en | code | 0 | github-code | 90 |
3729918776 | import requests
from bs4 import BeautifulSoup
import re
import MySQLdb
"""
提取报关要素
"""
BASE_URL = "http://www.hscode.net/IntegrateQueries/YsInfoPager"
def get_data(index, cur):
rs = requests.post(BASE_URL, {"pageIndex": index})
# re.encoding('utf-8')
html = rs.text
bs = BeautifulSoup(html, "html5lib"... | yiyisf/webswarp | customs.py | customs.py | py | 3,927 | python | en | code | 0 | github-code | 90 |
13468582 | import socket as sk
import pickle as pkl
import json
import sys
try:
import pygame as pg
except ImportError:
print("Библиотека pygame не найдена, пробую установить...")
try:
import pip
pip.main(["install", "pygame"])
except ImportError:
print("Не найден pip")
... | Dmitry450/Simple-Modding-2 | Main.py | Main.py | py | 6,336 | python | en | code | 1 | github-code | 90 |
28393275239 | # User function Template for python3
class Solution:
def min_lights(self, h, n):
# code here
l = []
for j, i in enumerate(h):
if i >= 0:
l.append([j-i, j+i])
l.sort(key=lambda x: x[0])
m = len(l)
target = 0
cnt = 0
i = 0
... | pappubishwas/GeeksForGeeks | Contest-134/illuminate_hall.py | illuminate_hall.py | py | 1,050 | python | en | code | 1 | github-code | 90 |
25742955504 | from model.opened import Opened
from model.point_node_g import Node
class KUCS:
def __init__(self, grid, start, goals):
self.grid = grid
self.start = start
self.goals = goals
self.active_goals = set(goals)
self.is_found = False
self.best = None
self.opened ... | valdas1966/kg | algo/kucs.py | kucs.py | py | 1,692 | python | en | code | 0 | github-code | 90 |
9218161772 | def Repeat(s):
finalstr = ""
state = "Norm"
repeat = ""
repeatnum = 0
bodystr = ""
braket = 0
for idx, n in enumerate(s):
if state == "Norm" and n.isdigit():
state = "digit"
repeat += n
elif state == "digit" and n.isdigit():
rep... | yaleliyu/leetcode | test.py | test.py | py | 1,145 | python | en | code | 0 | github-code | 90 |
18068471589 | N = tuple([int(j) for j in input().split(' ')])
#0が含まれたら０
if N[0] <= 0 and N[1] >= 0:
print("Zero")
elif N[0] < 0 and N[1] < 0:
if (N[0] * - 1 - N[1] * - 1) % 2 == 0:
print("Negative")
else:
print("Positive")
elif N[0] > 0 and N[1] > 0:
print("Positive")
| Aasthaengg/IBMdataset | Python_codes/p04033/s347382610.py | s347382610.py | py | 304 | python | en | code | 0 | github-code | 90 |
19345524723 | import time
from datetime import datetime
from urllib.parse import urlparse
import allure
from allure_commons.types import AttachmentType
from selenium.common import TimeoutException, NoSuchElementException, ElementNotInteractableException
from selenium.webdriver import ActionChains, Keys
from selenium.webdriver.commo... | sergioortiz17/Stori-QA-Automation-Challenge-Selenium | support/BaseActions.py | BaseActions.py | py | 15,990 | python | es | code | 0 | github-code | 90 |
29347606620 | from src.util import dateTime
from src.reportGenerator import searchSummaryGenerator
from src.responseBuilder import vehicleRegistrationResponseBuilder, errorResponseBuilder
from . import backendService
from . import redisPublishService
from src.dbService import esService as es
from src.constant import constant
from fl... | mahmudur-rahman-dev/flask-elasticsearch-caching | src/services/vehicleRegService.py | vehicleRegService.py | py | 2,064 | python | en | code | 0 | github-code | 90 |
19012325341 | import numpy as np
def update_cc(cc, group_units, clu=[]):
if clu == []:
all_units = np.array(group_units)
else:
all_units = np.unique(clu)
x = np.where(all_units == group_units[0])
new_cc = cc
n = len(group_units)
for i in range(n-1, 0, -1):
idx = np.where(all_units ... | ayalab1/neurocode | spikeSorting/AutomatedCuration/Automated-curation/update_cc.py | update_cc.py | py | 854 | python | en | code | 8 | github-code | 90 |
38294686494 | import requests
from access_tokens.access_token import AccessToken
class RequestMaker:
"""
MUST BE SINGLETON
"""
def __init__(self, access_token: AccessToken, friends_limit_ceil=999999, friends_limit_floor=0):
self.access_token = access_token
self.ceil_limit = friends_limit_ceil
... | archmight/vk_hidden_friends | requests_to_vk_api/request_maker.py | request_maker.py | py | 2,263 | python | en | code | 0 | github-code | 90 |
37835048885 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 3 17:03:50 2018
@author: 李立宗 lilizong@gmail.com
《OpenCV图穷匕见——Python实现》 电子工业出版社
"""
o=cv2.imread("image\\lena.bmp")
kernel = np.ones((9,9),np.float32)/81
r = cv2.filter2D(o,-1,kernel)
cv2.imshow("original",o)
cv2.imshow("Gaussian",r)
cv2.waitKey()
cv2.destroyAllWindows()... | taochangwan/learnOpencv | 源代码及图像/chapter7/7.10filter2D.py | 7.10filter2D.py | py | 361 | python | en | code | 1 | github-code | 90 |
26960691457 | import pathlib
from torch._C import parse_type_comment
from torch.utils.data.dataset import Dataset
import numpy as np
import os
import cv2
import torch
from torch.utils.data import Dataset
import skimage.io
import json
from pathlib import Path
from .factory import DatasetFactory
@DatasetFactory.register('dataset_lu... | fatcatofbupt/medical-algo-dev | backend/lib/datasets/dataset_lungseg.py | dataset_lungseg.py | py | 3,112 | python | en | code | null | github-code | 90 |
21030228760 |
#%pip install tensorflow-addons
import tensorflow as tf
#import tensorflow.keras as keras
from tensorflow import keras
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.layers import Input
from tensorflow.keras.layers import Dense, Dropout, Layer, LayerNormalization
from tenso... | Phidaimonia/laughing-octo-sniffle | MAE_large_pretrain.py | MAE_large_pretrain.py | py | 11,455 | python | en | code | 0 | github-code | 90 |
25676262181 | # Напишите программу, удаляющую из текста все слова, содержащие "абв". В тексте используется разделитель пробел.
text = 'Напишите абв напиабв програбвмму программу, удаляющую из этого абв текста все вабвс слова, содерабващие содержащие "абв"'
def del_abv(text):
text = list(filter(lambda x: 'абв' not in x, text.s... | AntonSavchenko88/World-of-programming | PythonSeminar05/Task01.py | Task01.py | py | 597 | python | ru | code | 0 | github-code | 90 |
17369413217 | from coding_files import connection_to_database
ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg'}
def insert_list_to_sql_tuple(insert_list):
for i in range(len(insert_list)):
if insert_list[i] == '':
insert_list[i] = 'N/A'
return tuple(insert_list)
def get_all_request_for_all_al... | JordanOCodes/SeniorCourseEquivalency | coding_files/preparing_to_connect_to_database.py | preparing_to_connect_to_database.py | py | 794 | python | en | code | 0 | github-code | 90 |
18814507967 | import lxml.html
from openstates.scrape import Scraper, Organization
class MACommitteeScraper(Scraper):
def scrape(self, chamber=None):
page_types = []
if chamber == "upper" or chamber is None:
page_types += ["Senate", "Joint"]
if chamber == "lower" or chamber is None:
... | openstates/openstates-scrapers | scrapers/ma/committees.py | committees.py | py | 1,480 | python | en | code | 820 | github-code | 90 |
9667773667 | import sys
def fafile2dict():
'''
read a single FASTA file (SHH.fa) into a dictionary object
and calculate the contig N50 size of this FASTA file
run as :
python3 N50.py < ./asm/contigs.fasta
Rerurn
--------------
N50:int
the N50 number of this FASTA file
--------------
'''... | JialinKang/comparative_genomics | assignment2/asm/N50.py | N50.py | py | 1,047 | python | en | code | 0 | github-code | 90 |
73337534058 | import torch.nn as nn
from torchcrf import CRF
from torch.nn.utils.rnn import (pack_padded_sequence, pad_packed_sequence)
class RNNTagger(nn.Module):
def __init__(self, nemb, nhid, nlayers, drop, ntags):
super(RNNTagger, self).__init__()
self.tagger_rnn = nn.LSTM(
input_size=nemb,
... | akurniawan/sequence-pos-tagging | deep-learning/models.py | models.py | py | 1,433 | python | en | code | 3 | github-code | 90 |
12301036270 | """
FIT1045: Sem 1 2023 Assignment 1 (Solution Copy)
"""
import random
import copy
from math import ceil
import os
def clear_screen():
"""
Clears the terminal for Windows and Linux/MacOS.
:return: None
"""
os.system('cls' if os.name == 'nt' else 'clear')
def print_rules():
... | timothymoniaga/FIT-1045 | Assignment 1/connect4.py | connect4.py | py | 13,726 | python | en | code | 0 | github-code | 90 |
883998386 | #!/usr/bin/env python3
# Implement a method to perform basic string compression using
# the counts of repeated characters. For example, the string
# 'aabcccccaaa' would become 'a2b1c5a3'. If the compressed string
# is longer than the original string, return the original string.
#--------------------------------------... | raygolden/Cracking-The-Coding-Interview-1 | Ch 1 - Arrays and Strings/prob1-5.py | prob1-5.py | py | 1,124 | python | en | code | 0 | github-code | 90 |
16623191076 | # https://adventofcode.com/2022/day/13w
import pathlib
import time
from pprint import pprint as pp
import json
from copy import deepcopy
from functools import cmp_to_key
script_path = pathlib.Path(__file__).parent
input = script_path / "input.txt" # 5280 // 25792
input_test = script_path / "test.txt" #... | TragicMayhem/advent_of_code | aoc_2022/day13/aoc2022d13.py | aoc2022d13.py | py | 3,600 | python | en | code | 0 | github-code | 90 |
18328325510 | from django.conf import settings
from django.urls import include, path
from rest_framework.routers import DefaultRouter, SimpleRouter
from rest_framework_nested import routers
from rest_framework_nested.routers import NestedSimpleRouter
from course_api.tasks.views import BoardViewset, StatusViewset, TaskViewSet
from c... | anuran-roy/wd301-capstone-alt | config/api_router.py | api_router.py | py | 1,442 | python | en | code | 1 | github-code | 90 |
4181002117 | import os, csv
in_dir = "2DCNN/"
ls = os.listdir(in_dir)
res = [k for k in ls if 'results' in k]
with open('ProcessedLogs.csv', 'w', newline='') as csvfile:
spamwriter = csv.writer(csvfile, delimiter=',',quotechar='|', quoting=csv.QUOTE_MINIMAL)
spamwriter.writerow(["Opt", "CNN_Layers", "Dense_Layers", "Arch"... | m0zjo-code/SIGNAL_CNN_TRAIN_KERAS | process_logs.py | process_logs.py | py | 661 | python | en | code | 0 | github-code | 90 |
13553820382 | from sdaps import model
from sdaps import script
from sdaps.utils.ugettext import ugettext, ungettext
_ = ugettext
parser = script.add_project_subparser("cover",
help=_("Create a cover for the questionnaires."),
description=_("""This command creates a cover page for questionnaires. All
the metadata of th... | sdaps/sdaps | sdaps/cmdline/cover.py | cover.py | py | 665 | python | en | code | 183 | github-code | 90 |
18197664219 | import sys
read = sys.stdin.read
readlines = sys.stdin.readlines
def main():
x, n, *p = map(int, read().split())
sa = 10000
r = 10000
for i1 in range(-101, 202):
if i1 not in p:
if abs(x - i1) < sa:
sa = abs(x - i1)
r = i1
print(r)
if __name__ == ... | Aasthaengg/IBMdataset | Python_codes/p02641/s287581144.py | s287581144.py | py | 343 | python | en | code | 0 | github-code | 90 |
44033088647 | from discord.ext import commands
import config
class Support(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_ready(self):
print('Support is ready')
@commands.command()
async def help(self, ctx):
await ctx.send(config.HELP)
def setu... | Crying-Soul/discord_bot | cogs/Support.py | Support.py | py | 357 | python | en | code | 0 | github-code | 90 |
2256361069 | def is_it_a_letter(new_key, letter):
alpha = "ABCDEFGHIJKLMNOPQRSTUWXYZ"
if letter in alpha:
return alpha[new_key]
else:
return letter
def decrypt(key, text):
text = text.upper()
alphabet = "ABCDEFGHIJKLMNOPQRSTUWXYZ"
result = ""
for letter in text:
n... | kitti-sec/Caesar-decryption | caesarhw.py | caesarhw.py | py | 728 | python | en | code | 0 | github-code | 90 |
74106494695 | #!/system/bin/env python3
from flask import Flask, request, redirect, url_for, render_template
import html
import calendar
import db_utils
import response
from flask import session as login_session
from flask import jsonify
import random
import string
from google.oauth2 import id_token
from google.auth.transport imp... | davidaik/item-catalog | server.py | server.py | py | 15,145 | python | en | code | 0 | github-code | 90 |
24222363065 | # importing required modules
import socket
import os
import pybase64
import time
import csv
from Crypto.PublicKey import RSA
from tkinter import Tk, filedialog
from datetime import datetime
from Crypto.Cipher import PKCS1_OAEP
from getpass import getpass
from pwn import *
# assigning necessary information... | ShyamSunder149/Secure-file-transfer-using-TCP | client.py | client.py | py | 2,493 | python | en | code | 0 | github-code | 90 |
18377154469 | from functools import reduce
class comb_mod:
mod = 1000000007
MAX = 10 ** 5
fac = [0 for i in range(MAX)]
finv = [0 for i in range(MAX)]
inv = [0 for i in range(MAX)]
def __init__(self):
self.fac[0], self.fac[1] = 1, 1
self.finv[0], self.finv[1] = 1, 1
self.inv[1] = 1
... | Aasthaengg/IBMdataset | Python_codes/p02990/s773780257.py | s773780257.py | py | 1,144 | python | en | code | 0 | github-code | 90 |
27965476551 | import pytest
from sqltask.database.sqlparser import RelativeId, RelativeIdReplacer, SQLParser
class FakeRelativeIdLoader(object):
def __init__(self, storage_table=None):
self.storage_table = storage_table
def load(self, keyset, keyname):
return self.storage_table[keyset][keyname]
def asser... | vecin2/em_automation | sqltask/test/test_sqlparser.py | test_sqlparser.py | py | 5,143 | python | en | code | 0 | github-code | 90 |
41293721769 | import sys
E, S, M = map(int, sys.stdin.readline().split())
year = 0
while True:
if year % 15 + 1 == E and year % 28 + 1 == S and year % 19 + 1 == M:
print(year + 1)
break
year += 1 | du2lee/BOJ | BOJ/python/1476.py | 1476.py | py | 208 | python | en | code | 3 | github-code | 90 |
18436815979 | import math
def make_divisors(n):
divisors = []
for i in range(1, int(n**0.5)+1):
if n % i == 0:
divisors.append(i)
if i != n // i:
divisors.append(n//i)
divisors.sort()
return divisors
a,b,c=map(int,input().split())
n=math.gcd(a,b)
ans=make_divisors(n)
... | Aasthaengg/IBMdataset | Python_codes/p03106/s670384804.py | s670384804.py | py | 334 | python | en | code | 0 | github-code | 90 |
27575735742 | # encoding: utf-8
"""
File: core_service
Author: twotrees.zf@gmail.com
Date: 2020年7月30日 31周星期四 10:55
Desc:
"""
import uuid
import os
from os import path
import zipfile
import plistlib
import re
import jsonpickle
from .keys import Keyword
import json
import subprocess
HOST_ORIGIN = 'https://ipafly.inke... | twotreeszf/IPAFly | core/core_service.py | core_service.py | py | 5,936 | python | en | code | 0 | github-code | 90 |
72453414376 | from numpy import sin, cos, tan, pi, inf
import matplotlib.pyplot as plt
from geometry import LineSet
from innerbilliards import InnerBilliards
from outerbilliards import SmoothBilliards as OuterBilliards
fDist = 1.5
minor1 = 2
major1 = (minor1**2 + fDist**2)**0.5
Bi = InnerBilliards(lambda t: [
major1 * cos(2*p... | barefootbrock/OuterBilliards | inner vs outer.py | inner vs outer.py | py | 1,077 | python | en | code | 0 | github-code | 90 |
19512108427 | import numpy as np
def greenTheorem(array):
array = array[array[:, 0].argsort()]
x_vector = array[:,0]
y_vector = array[:,1]
rolled_x_vector = np.roll(x_vector.copy(), shift=1)
rolled_y_vector = np.roll(y_vector.copy(), shift=1)
return 0.5 * (( rolled_x_vector @ y_vector) - ( rolled_y_vector... | NicolasNigno/computational_geometry | 1.convex_hull_2d/greenTheorem.py | greenTheorem.py | py | 335 | python | en | code | 1 | github-code | 90 |
29490577343 | # This file will be mainly used for basic functionality of the bot.
import discord
from dotenv import load_dotenv
import os
import responses
load_dotenv()
# This is the return function for sending the user messages
async def send_message(message, user_message, private):
try:
response = responses.test_resp... | CNicdao/MindfulBot | bot.py | bot.py | py | 1,303 | python | en | code | 1 | github-code | 90 |
37846392535 | '''
This file is part of GEAR_mc.
GEAR_mc is a fork of Jeremie Passerin's GEAR project.
GEAR is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at... | miquelcampos/GEAR_mc | gear/xsi/rig/__init__.py | __init__.py | py | 18,675 | python | en | code | 24 | github-code | 90 |
21750823272 | from sqlalchemy import (
Column, Enum as MariaEnum, Integer, Float,
Boolean, MetaData, String, Table, Text,
)
convention = {
'all_column_names': lambda constraint, table: '_'.join([
column.name for column in constraint.columns.values()
]),
'ix': 'ix__%(table_name)s__%(all_column_names)s',
... | lamedevelop/nsdhackathon2021 | app/db/schema.py | schema.py | py | 2,167 | python | en | code | 0 | github-code | 90 |
22598533807 | #detection of colors in an image to detect multiple colored blocks.
#Ryan Donald UML PeARL February 2021
import rospy
from sensor_msgs.msg import Image
from sensor_msgs.msg import PointCloud2
import sensor_msgs.point_cloud2 as pc2
import cv2
import numpy as np
import struct
from cv_bridge import CvBridge, CvBridgeErro... | ryan-donald/NumberBlockSorting | number_block_sorting/src/vision/colormask_simulation.py | colormask_simulation.py | py | 6,569 | python | en | code | 0 | github-code | 90 |
17361321618 | # coding=utf-8
'''
1. 全局解释锁GIL
PYthon虚拟机（解释器主循环）只能有一个控制线程在执行，就像单核CPU一样
每个执行的线程，必须先获得 GIL；除非线程执行IO
2. 驼峰式函数都已经取消
直接设置值：
使用下划线：
'''
#######################################################################################
''' thread 已经被弃用
1. 同步源于很少
2. 对子进程何时... | Martians/code | basic/python/0_common/5_thread/1_threading.py | 1_threading.py | py | 1,602 | python | zh | code | 1 | github-code | 90 |
73679570855 | from collections import deque
def bfs(x, y, cnt):
q = deque()
q.append((x, y, cnt))
visited[x][y] = 0
while q:
x, y, cnt = q.popleft()
if r2 == x and c2 == y:
print(cnt)
exit()
for i in range(6):
nx = x + dx[i]
ny = y + dy[i]
... | y7y1h13/Algo_Study | beakjun/86일차/데스 나이트.py | 데스 나이트.py | py | 661 | python | en | code | 0 | github-code | 90 |
10901399593 | import re, logging
class BrowserDetails:
def __init__(self, user_agent_string):
self.user_agent = user_agent_string
if user_agent_string.find("Chrome") >= 0:
self.browser_name = "Chrome"
self.browser_family = "Chrome"
self.browser_engine = "Webkit"
elif user_agent_string.find("Chr... | JohnSmithDev/js1kpiano | content.py | content.py | py | 2,803 | python | en | code | 1 | github-code | 90 |
11949482708 | import requests
from twilio.rest import Client
import os
OWA_Endpoint = "https://api.openweathermap.org/data/2.5/onecall"
api_key = os.environ.get("OWA_API_KEY")
auth_token = os.environ.get("AUTH_TOKEN")
account_sid = os.environ.get("ACCOUNT_SID")
parameters = {'lat': your_latitude, "lon": your_longitude, "appid": api... | alexandru-ghibea/weather_project_api-s | main.py | main.py | py | 918 | python | en | code | 0 | github-code | 90 |
1447477987 | class Solution:
def findMedianSortedArrays(self, nums1, nums2):
def getKthElement(k):
index1, index2 = 0, 0
while True:
# 特殊情况
if index1 == m:
return nums2[index2 + k - 1]
if index2 == n:
return n... | Dod-o/LeetCode | 1-10/4.Median_of_Two_Sorted_Arrays.py | 4.Median_of_Two_Sorted_Arrays.py | py | 1,281 | python | en | code | 24 | github-code | 90 |
18800778282 | import torch
import numpy as np
from networks import get_network, set_requires_grad
from util.hausdorff import directed_hausdorff
from agent.base import GANzEAgent
class MainAgent(GANzEAgent):
def __init__(self, config):
super(MainAgent, self).__init__(config)
self.weight_z_L1 = config.weight_z_L... | ChrisWu1997/Multimodal-Shape-Completion | agent/agent_gan.py | agent_gan.py | py | 4,918 | python | en | code | 93 | github-code | 90 |
29260706091 | import threading
import time
class mythread(threading.Thread):
def __init__(self,threadID,name,count):
#表示定义 加self
#threading.Thread.__init__(self)
#表示调用 不加self
super().__init__()
self.threadID = threadID
self.name = name
self.count = count
def run(self):
... | johnkle/FunProgramming | Python/pythonBasic/thread1.py | thread1.py | py | 903 | python | en | code | 0 | github-code | 90 |
43050221676 | import csv
import logging
import os
import smtplib
import sys
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
from importlib import resources
from pathlib import Path
try:
import tomllib
except ModuleNotFoundError:
import to... | alexcheng628/carrier-services | src/carrier_services/utils/utils.py | utils.py | py | 4,268 | python | en | code | 0 | github-code | 90 |
70191942696 | #!/bin/env python3
# Based on https://gitlab.gnome.org/GNOME/mutter/-/blob/main/check-style.py
import argparse
import os
import re
import shutil
import subprocess
import sys
import tempfile
# Path relative to this script
uncrustify_cfg = 'tools/gtk.cfg'
def check_progs():
git = shutil.which('git')
patch = ... | GNOME/gnome-system-monitor | check-style.py | check-style.py | py | 4,246 | python | en | code | 71 | github-code | 90 |
17944798839 | N,K = map(int,input().split())
XY = [tuple(map(int,input().split())) for i in range(N)]
xs = []
ys = []
for x,y in XY:
xs.append(x)
ys.append(y)
xs.sort()
ys.sort()
ans = float('inf')
for l in range(N-1):
for r in range(l+1,N):
w = xs[r] - xs[l]
for d in range(N-1):
for u in ran... | Aasthaengg/IBMdataset | Python_codes/p03576/s160918635.py | s160918635.py | py | 674 | python | en | code | 0 | github-code | 90 |
14048401011 | from enum import Enum
import numpy as np
from matplotlib import pyplot as plt
from sklearn.metrics.pairwise import euclidean_distances
from sklearn.preprocessing import normalize
class ForcesConfig:
SAFE_DIVISION_EPSILON = 1e-8
class Strategy(Enum):
SINGLE_FORCE_SCALES = 1, # 1 scale factor f... | AlexDeLos/Circles_in_a_squares | forces.py | forces.py | py | 4,812 | python | en | code | 0 | github-code | 90 |
34871717830 | from datetime import (
datetime,
timedelta,
)
import dateutil.tz
from dateutil.tz import gettz
import numpy as np
import pytest
import pytz
from pandas import (
DatetimeIndex,
Timestamp,
bdate_range,
date_range,
offsets,
to_datetime,
)
import pandas._testing as tm
try:
from zonein... | pandas-dev/pandas | pandas/tests/indexes/datetimes/methods/test_tz_localize.py | test_tz_localize.py | py | 14,830 | python | en | code | 40,398 | github-code | 90 |
16571083087 | """
手动写GCD
"""
import collections
from functools import reduce
class Solution(object):
def hasGroupsSizeX(self, deck):
vals = collections.Counter(deck).values()
gcd = reduce(self.gcd0, vals)
return gcd >= 2
def gcd0(self, a, b):
if a > b:
smaller = b
... | superggn/myleetcode | array/easy/914-x-of-a-kind-in-a-deck-of-cards-3.py | 914-x-of-a-kind-in-a-deck-of-cards-3.py | py | 645 | python | en | code | 0 | github-code | 90 |
21857998249 | n, k, prime = map(int, input().split())
# 특정 프라임 진법 구하기
def primeNatation(n, k):
resN, resK = [], []
while n:
resN += [n % prime]
resK += [k % prime]
n //= prime
k //= prime
return resN, resK
d = [0] * 4_000_001
d[:3] = [0, 1, 2]
def combination(n, k):
if k > n:
... | dlams/Algorithm-Practice | Backjoon/11000/11402 이항 계수 4.py | 11402 이항 계수 4.py | py | 778 | python | en | code | 1 | github-code | 90 |
4939114057 | import pandas as pd
import matplotlib.pyplot as plt
def plot_roc(x, y):
plt.plot(x, y)
plt.xlabel('FPR')
plt.ylabel('TPR')
plt.show()
def auc(x, y):
ans = 0
for i in range(0, len(x) - 1, 1):
ans += 0.5 * (x[i + 1] - x[i]) * (y[i + 1] + y[i])
return ans
df = pd... | tystys404/nju-ml2023 | hw1/编程题/code/roc.py | roc.py | py | 1,008 | python | en | code | 0 | github-code | 90 |
32941691327 | import json
import KickerScore
import stattypes
class Match:
def __init__(self, match, week_stats_df):
home_kicker = self.get_kicker(match.home_lineup)
away_kicker = self.get_kicker(match.away_lineup)
home_kicker_name = self.format_name(home_kicker.name)
away_kicker_name = self.format_name(away_kicker.name... | garettmiller/SqahhFantasy | python/Match.py | Match.py | py | 1,412 | python | en | code | 0 | github-code | 90 |
23545690801 | import os
from mpi4py import MPI
ksdgdebug = set(os.getenv('KSDGDEBUG', default='').split(':'))
def log(*args, system = 'KSDG', **kwargs):
comm = MPI.COMM_WORLD
rank = comm.rank
if system in ksdgdebug or 'ALL' in ksdgdebug:
print('{system}, rank={rank}:'.format(system=system, rank=rank), *args, fl... | leonavery/KSDG | KSDG/ksdgdebug.py | ksdgdebug.py | py | 340 | python | en | code | 0 | github-code | 90 |
20841406827 | import shelve
d = shelve.open('shelve_test')
print(d.get('seasons'))
print(d.get('pp'))
# seasons = ['spring', 'summer', 'autumn', 'winter']
#
# pp = {'temperature': 'comfy', 'special': 'flower'}
#
# d['seasons'] = seasons
# d['pp'] = pp
d.close() | hi-andy/python-study | Module/shelve_module.py | shelve_module.py | py | 253 | python | en | code | 0 | github-code | 90 |
16040967395 | class Calcultor(object):
# 静态方法
@staticmethod
def add(a, b):
return a + b
@staticmethod
def minus(a, b):
return a - b
print(Calcultor.add(1, 4))
print(Calcultor.minus(9, 2))
class Person:
type = "human"
def __init__(self, name, age):
self.name = name
sel... | EricWord/PythonStudy | 15-oop/oop_demo12.py | oop_demo12.py | py | 1,714 | python | zh | code | 0 | github-code | 90 |
40112184844 | import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorchvideo.layers.utils import set_attributes
from pytorchvideo.transforms.functional import convert_to_one_hot
class SoftTargetCrossEntropyLoss(nn.Module):
"""
Adapted from Classy Vision: ./classy_vision/losses/soft_target_cross_entrop... | facebookresearch/pytorchvideo | pytorchvideo/losses/soft_target_cross_entropy.py | soft_target_cross_entropy.py | py | 3,321 | python | en | code | 3,050 | github-code | 90 |
70593472937 | import numpy as np
import logging
from hyperparameters import NEIGHBORS, DISTANCE
def get_owned_squares(game_map, id):
"""
Returns all currently owned squares by id that have a strength > 0
"""
# Run through gamemap and check if condition is met
# add correct squares to lists
owned_squares = [... | sselbach/production-seizer | window.py | window.py | py | 1,779 | python | en | code | 0 | github-code | 90 |
10750302380 | import os
import optparse
import sys
import pandas as pd
import numpy as np
import random
from scipy import stats
sys.path.insert(0, '..')
from constant_values import *
def add_flag_to_processed_csv(data_folder):
text_files = []
for root, dirs, files in os.walk(data_folder):
for file in files:
... | romanroads/hedwig | python/tools/add_flag_to_processed_csv.py | add_flag_to_processed_csv.py | py | 4,290 | python | en | code | 0 | github-code | 90 |
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