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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
10704679897 | import pandas
from tqdm import tqdm
from geojson import Feature, FeatureCollection, Point
import json
df = pandas.read_csv('stops.csv')
df = df[['stop_id', 'stop_name', 'stop_lat', 'stop_lon']]
data = {}
for index, row in tqdm(df.iterrows()):
stop_id, stop_name, stop_lat, stop_lon = row
data[stop_id] = {
... | AzurIce/SubwayFrontend | playground/data/google_transit/convert_stop_to_json.py | convert_stop_to_json.py | py | 465 | python | en | code | 2 | github-code | 90 |
18681307388 | import json
import logging
import os
import subprocess
import sys
from threading import Thread
import time
import uuid
from ax.devops.artifact.constants import RETENTION_TAG_DEFAULT, RETENTION_TAG_AX_LOG, RETENTION_TAG_AX_LOG_EXTERNAL, \
RETENTION_TAG_USER_LOG, RETENTION_TAG_LONG_RETENTION, ARTIFACT_TYPE_AX_LOG, A... | zhan849/argo | platform/source/lib/ax/platform/sidecar/log_collector.py | log_collector.py | py | 20,957 | python | en | code | null | github-code | 90 |
22722650323 | import pandas as pd
import numpy as np
def print_cv_results(a, len_gs, params, param_r, param_sep):
d = len(params['param_grid'][param_sep])
ar=np.array(a).reshape(len_gs,d)
df=pd.DataFrame(ar)
pen_par=params['param_grid'][param_sep]
c_par=params['param_grid'][param_r].tolist()
columns_... | ml-dafe/ml_mipt_dafe_old | archieve/2019/week_03_Linear_model_part_2/utils.py | utils.py | py | 660 | python | en | code | 9 | github-code | 90 |
18147831969 | # -*- coding: utf-8 -*-
import sys
import os
for s in sys.stdin:
sentence = s.strip()
if sentence == '-':
break
N = int(input())
for i in range(N):
h = int(input())
sentence = sentence[h:] + sentence[:h]
print(sentence) | Aasthaengg/IBMdataset | Python_codes/p02420/s553548069.py | s553548069.py | py | 267 | python | en | code | 0 | github-code | 90 |
29823306218 | import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
t = np.arange(0.0, 5.0, 0.01)
s = np.cos(2*np.pi*t)
line, = ax.plot(t, s, lw=2)
# ax.annotate('local max', xy=(2, 1), xytext=(2, 1.5),
# arrowprops=dict(facecolor='black', shrink=0.05),
# )
for j ... | bluelocust/SynU3-project | Motifs/snippets/add_txt.py | add_txt.py | py | 575 | python | en | code | 2 | github-code | 90 |
18572136429 | class WeightedUnionFind:
def __init__(self, n):
self.n = n
self.root = [-1]*(n+1)
self.rnk = [-1]*(n+1)
self.weight = [0]*(n+1)
""" xの根を求める"""
def Find_Root(self, x):
if (self.root[x] < 0):
return x
else:
y = self.Find_Root(self.ro... | Aasthaengg/IBMdataset | Python_codes/p03450/s393370974.py | s393370974.py | py | 1,616 | python | en | code | 0 | github-code | 90 |
15056510791 | import math
#-------------------------------------
def find_max_num_for(array_values):
n = len(array_values)
s = array_values[0]
max_idx = 0
for i in range(1, n):
if s <= array_values[i]:
s = array_values[i]
max_idx = i
print("Max Id is " + max_idx.__str__()... | yooshinK/Python_Study | Algorithm_py_Input_Num_Find_Max_Num.py | Algorithm_py_Input_Num_Find_Max_Num.py | py | 704 | python | en | code | 0 | github-code | 90 |
5194752977 | """
gacca
"""
from character_creation import CharacterInfo, get_pronoun_list
def pull_information(pulls: list):
pull_info = ""
counter = 1
for pull in pulls:
pull_info += (f"<===PULL {counter}===>\n"
f"YOU PULLED A {pull.stats.rarity['Rarity'].upper()} UNIT!!!\n"
... | nickluong-dev/Hack-the-Break-2021 | gacha.py | gacha.py | py | 794 | python | en | code | 0 | github-code | 90 |
43580444960 | # Imports necesarios
from src.public import pub
from flask import render_template, redirect, url_for, request, flash
import pandas as pd
import requests
import json
import os
from flask_login import login_required, current_user
from src.forms.updateUser import UpdateUser
from src.forms.scheduleParams import SchedulePar... | jesgararm/GestorQuirofanos | APP-WEB/src/public/routes.py | routes.py | py | 6,879 | python | es | code | 0 | github-code | 90 |
6484470709 | from fastapi.testclient import TestClient
from source.queries import students_queries
from fastapi import HTTPException
import pytest
from main import app
client = TestClient(app)
def id_cache():
cache_id = []
student = students_queries.select_query()
for i in range(0,len(student)):
cache_id.appe... | nayan-chordia/StudentDatabaseAPI | tests/tests_unit/test_unit_students.py | test_unit_students.py | py | 2,501 | python | en | code | 0 | github-code | 90 |
12589452532 | import re
import torch
import torch.nn as nn
import torchvision
import pandas as pd
from torch.nn.init import constant_
from torch.nn.init import normal_
from torch.utils import model_zoo
from copy import deepcopy
import slowfast.utils.weight_init_helper as init_helper
from . import head_helper, resnet_helper, stem_h... | iranroman/ego_actrecog_analysis | slowfast/models/video_model_builder.py | video_model_builder.py | py | 27,336 | python | en | code | 6 | github-code | 90 |
73953706217 | from os import environ
import kea
import json
import requests
# This hook was improved by ChatGPT and later some errors were resolved.
powerdns_domain = environ["PDNS_DOMAIN"]
powerdns_api_key = environ["PDNS_API_KEY"]
powerdns_api_host = environ["PDNS_API_HOST"]
powerdns_api_port = environ["PDNS_API_PORT"]
powerdns_... | NIXKnight/Personal-Linux-Firewall-Gateway | docker/kea/keahook.py | keahook.py | py | 10,667 | python | en | code | 0 | github-code | 90 |
7627136907 | """
This file is responsible for implementing a server side `main` function.
"""
import numpy as np
import tensorflow as tf
import zmq
from flysight.config import Config
from flysight.message_pb2 import (
Request,
RepTracking,
ReqDetections,
RepDetections,
)
from flysight.server.... | cjhanks/flysight | flysight/server/main.py | main.py | py | 2,896 | python | en | code | 0 | github-code | 90 |
32113900314 | from . import hio
import numpy as np
import bpy
from mathutils import Matrix
from bpy_extras.io_utils import axis_conversion
def export_mesh(path:str, me):
assert len(me.polygons) > 0, 'Only supports polygons. No lines or points.'
me.flip_normals()
me.calc_normals_split()
geo = hio.Geometry()
vertices = np.... | satoruhiga/blender-houdini-geo-io | exporter.py | exporter.py | py | 6,602 | python | en | code | 22 | github-code | 90 |
15738197219 | from django.shortcuts import render
from feeds.models import Feed
from django.db.models import Count
from django.utils import timezone
from datetime import timedelta
from archives.models import Suggestion
def main(request):
return render(
request,
"web/info.html",
)
def feed_rank_list(reques... | Hooooni98/api.fooiy.com | repo/web/views/v2/info.py | info.py | py | 1,084 | python | en | code | 0 | github-code | 90 |
13386432439 | #!/bin/python
#
# Author : Ye Jinchang
# Date : 2015-06-17 13:56:42
# Title : 49 anagrams
# Given an array of strings, return all groups of strings that are anagrams.
#
# Note: All inputs will be in lower-case.
class Solution:
# @param {string[]} strs
# @return {string[]}
def anagrams(s... | Alwayswithme/LeetCode | Python/049-anagrams.py | 049-anagrams.py | py | 667 | python | en | code | 1 | github-code | 90 |
17952468029 | import itertools
A, B, C, D, E, F = map(int, input().split())
U = F
water = [0]*(U+1)
water[0] = 1
for i in range(U+1):
if water[i]:
if i+100*A <= U:
water[i+100*A] = 1
if i+100*B <= U:
water[i+100*B] = 1
water_val = [val for val in range(1, U+1) if water[val]]
suger = [0]*(U... | Aasthaengg/IBMdataset | Python_codes/p03599/s623252510.py | s623252510.py | py | 753 | python | en | code | 0 | github-code | 90 |
43015432057 | #!/usr/bin/env python
"""Backend jl uses module joblib to parallelize the dataset processing
functions"""
import logging
import tempfile
import numpy as np
from joblib import Parallel, delayed, dump, load
from dosna.backends import get_backend
from dosna.engines import Engine
from dosna.engines.base import EngineCon... | DiamondLightSource/DosNa | dosna/engines/jl.py | jl.py | py | 6,004 | python | en | code | 11 | github-code | 90 |
41071433537 | #!/usr/bin/env python
from Bio import SeqIO
import os
import sys
from collections import defaultdict
from pprint import pprint
import argparse
import multiprocessing
import re
from os import listdir
from os.path import isfile, join
def checkoverlap(seq1, seq2):
num = 0
diff = 0
for i, nucleotide in enumerate(s... | markphuong/nico.turridae | 14generate/pick.best.seq.and.generate.ancestral.py | pick.best.seq.and.generate.ancestral.py | py | 2,531 | python | en | code | 0 | github-code | 90 |
29232921005 | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import json
with open('config.json', 'r') as file:
config = json.load(file)
block_size = config['block_size']
device = 'cuda' if torch.cuda.is_available() else 'cpu'
n_embd = config['n_embd']
n_head = config['n_head... | uuzall/adaptive_attention_span | gpt.py | gpt.py | py | 4,569 | python | en | code | 1 | github-code | 90 |
17767092055 | """
Unit tests for the frontend code.
"""
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import logging
import ga4gh.datamodel as datamodel
import ga4gh.frontend as frontend
import ga4gh.protocol as protocol
class TestFrontend(unittest.T... | srblum/hackathon-server | tests/unit/test_views.py | test_views.py | py | 14,414 | python | en | code | 0 | github-code | 90 |
18320946919 | import sys
from io import StringIO
import unittest
import os
# 再帰処理上限(dfs作成時に設定するのが面倒なので限度近い値を組み込む)
sys.setrecursionlimit(999999999)
def prepare_simple(n, mod=pow(10, 9) + 7):
# n! の計算
f = 1
for m in range(1, n + 1):
f *= m
f %= mod
fn = f
# n!^-1 の計算
inv = pow(f, mod - 2, mo... | Aasthaengg/IBMdataset | Python_codes/p02862/s125003320.py | s125003320.py | py | 3,135 | python | en | code | 0 | github-code | 90 |
23321689046 | import CONSTANT
from tools import time_train_test_split, data_sample_bykey_rate
import pandas as pd
import lightgbm as lgb
class FeatSelect:
def __init__(self):
self.num_boost_round = 100
num_leaves = 63
self.params = {
'boosting_type': 'gbdt',
'objective': 'regress... | DeepBlueAI/AutoSeries | code_submission/feat_select.py | feat_select.py | py | 2,437 | python | en | code | 15 | github-code | 90 |
18116200259 | import math
def kock(n,p1x,p1y,p2x,p2y):
if(n==0):
return
sx = (2*p1x+p2x)/3.0
sy = (2*p1y+p2y)/3.0
tx = (p1x+2*p2x)/3.0
ty = (p1y+2*p2y)/3.0
ux = (tx-sx)*math.cos(math.radians(60)) - (ty-sy)*math.sin(math.radians(60)) + sx
uy = (tx-sx)*math.sin(math.radians(60)) + (ty-sy)*math.co... | Aasthaengg/IBMdataset | Python_codes/p02273/s375697741.py | s375697741.py | py | 566 | python | en | code | 0 | github-code | 90 |
18368024609 | n = int(input())
a = [int(input()) for _ in range(n)]
sort_a = sorted(a, reverse=True)
amax = sort_a[0]
asecond = sort_a[1]
for i in range(n):
tmp = a[i]
if tmp == amax:
print(asecond)
else:
print(amax) | Aasthaengg/IBMdataset | Python_codes/p02971/s436053557.py | s436053557.py | py | 230 | python | en | code | 0 | github-code | 90 |
24342075985 | import math
from tkinter import *
import numpy as np
import random
Leap = 1
Length = 5
Nofactions = 6
class Enviroment(object):
"""docstring for Enviroment."""
def __init__(self,sizes):
self.pos = [10.0,7.0]
self.theta = 0
self.obst = [[[4,2],[3,3],[2,2],[3,1]],[[4+2,2+2],[3+2,3+2],[2+... | japneet644/Random-codes | PS.py | PS.py | py | 9,723 | python | en | code | 0 | github-code | 90 |
37111952594 | class Board:
'''Class represnting tic-tac-toe game board'''
CROSS = '✖'
CIRCLE = 'O'
def __init__(self):
'''
Initializing new empty board
Last move is None by default
'''
self._board = [[" ", " ", " "] for i in range(3)]
self._left = None
... | kalchenkod/Lab13 | board.py | board.py | py | 3,254 | python | en | code | 0 | github-code | 90 |
26811184101 | import sys
n = int(input())
m = int(input())
floyd = [[int(1e12)]*n for _ in range(n)]
for _ in range(m):
x, y, w = map(int, sys.stdin.readline().split())
x -=1
y -=1
floyd[x][y] = min(floyd[x][y], w)
def pa():
for line in floyd:
for item in line:
if item == int(1e12):
print(0, end=" ")
... | cyw320712/problem-solving | Baekjoon/python/11404.py | 11404.py | py | 642 | python | en | code | 3 | github-code | 90 |
71320449898 | from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from api_users_auth.models import CustomUser
from titles.models import Title
class Review(models.Model):
score = models.IntegerField(
validators=[
MinValueValidator(1, message='Введите число н... | bdcry/api_yamdb | api/models.py | models.py | py | 1,904 | python | en | code | 0 | github-code | 90 |
15273588337 | class Solution:
def arrayRankTransform(self, arr: List[int]) -> List[int]:
hashMap = {}
ans = [1]*len(arr)
for i,v in enumerate(arr):
if v in hashMap:
hashMap[v].append(i)
else:
hashMap[v] = [i]
heapq.heapify(a... | kelvinleong0529/Leet-Code | 1331-rank-transform-of-an-array/1331-rank-transform-of-an-array.py | 1331-rank-transform-of-an-array.py | py | 648 | python | en | code | 3 | github-code | 90 |
30697002074 | import csv
import os.path
filelist = "file-list.txt"
par_file = "csv/par-fontes.csv"
lit_file = "csv/lit-fontes.csv"
def csv_file (typo,csvfile):
basename = os.path.basename(csvfile)
base = os.path.splitext(basename)[0]
return f"csv/{typo}-{base}.csv"
def one_result (csvfile):
with open (csvfile) as f:
... | hietjmo/frequentia | list-fontes-as-text.py | list-fontes-as-text.py | py | 1,138 | python | en | code | 2 | github-code | 90 |
35518391297 | import pathlib
import re
import sys
from os import system
from setuptools import setup, find_packages
# 'setup.py publish' shortcut.
if sys.argv[-1] == "publish":
system("python setup.py sdist bdist_wheel")
system("twine upload dist/*")
sys.exit()
if sys.version_info < (3, 6, 0):
raise RuntimeError("... | mkb79/audible-cli | setup.py | setup.py | py | 2,205 | python | en | code | 326 | github-code | 90 |
2728138646 | from filters import IsPrivate
from states import calculator as cal
from loader import dp
from aiogram.dispatcher import FSMContext
from aiogram import types
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
@dp.message_handler(IsPrivate(), text='🧮 Калькулятор')
async def calculator(message: types.... | myelixrrrseees/PROTECT_AIOGRAM | handlers/users/calculator.py | calculator.py | py | 1,251 | python | en | code | 0 | github-code | 90 |
12077481130 | from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
def paginate(queryset,page_no,page_size):
paginator = Paginator(queryset, page_size)
try:
data = paginator.page(page_no)
except PageNotAnInteger:
# If page is not an integer, deliver first page.
data = paginato... | hemanth7787/generic-online-store | utils/helpers.py | helpers.py | py | 496 | python | en | code | 0 | github-code | 90 |
44649658083 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 23 14:01:07 2022
@author: allen
"""
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('flow_expert.csv')
df = df[df['Time'] >= 0]
good_flow = df[df['Flow'] == True]
bad_flow = df[df['Flow'] == False]
print(df.columns)
for column in df... | cowonthelawn/ReBeater | FlowEDA.py | FlowEDA.py | py | 1,250 | python | en | code | 0 | github-code | 90 |
34869969330 | """
:func:`~pandas.eval` parsers.
"""
from __future__ import annotations
import ast
from functools import (
partial,
reduce,
)
from keyword import iskeyword
import tokenize
from typing import (
Callable,
ClassVar,
TypeVar,
)
import numpy as np
from pandas.errors import UndefinedVariableError
imp... | pandas-dev/pandas | pandas/core/computation/expr.py | expr.py | py | 25,160 | python | en | code | 40,398 | github-code | 90 |
44886267793 | def sum_of_multiples(limit, multiples):
nums = set()
for m in multiples:
if m == 0:
continue
curr = m
while(curr < limit):
print(f'multiple:{m}, curr: {curr}')
nums.add(curr)
curr += m
return sum(nums)
print(sum_of_multiples(10, ... | hemal7735/exercism | python/sum-of-multiples/sum_of_multiples.py | sum_of_multiples.py | py | 329 | python | en | code | 0 | github-code | 90 |
18773146597 | import pygame
from random import randint, choice
from block_size import block_size
import color
from messages import messages
pygame.init()
pygame.display.set_caption("SNAKE")
MAX_SCALE = (pygame.display.Info().current_w, pygame.display.Info().current_h)
MAX_SCALE_BLOCK_SIZE = block_size(MAX_SCALE[0], MAX_SCALE[1], m... | bhauvae/SnakeGame | main.py | main.py | py | 12,766 | python | en | code | 0 | github-code | 90 |
12287252708 | #!/usr/bin/python
"""
goal, feed in moquery output from text, json, or xml
and create local dict that we can walk through and print FULL
record matching user provided regex string
- xml parse failure:
snmp string with '&' character at at end
cat file.xml |
sed 's/&\]/\]/g' | sed 's/&"/"... | acpeaco2/section_parser | section_parser.py | section_parser.py | py | 28,672 | python | en | code | 0 | github-code | 90 |
8815683968 | import pytest
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'src')))
from mfa import mfa, listener
import documenter as doc
import time
import multiprocessing as mp
def worker(data):
print(data)
string, num, file, q = data
start = time.time()
res... | dyshes/webninja | test/test_mfa.py | test_mfa.py | py | 1,240 | python | en | code | 0 | github-code | 90 |
13101733518 | heigh = int(input('your heigh?'))
weight = int(input('your weight'))
ybmi = weight/heigh**2
if ybmi >= 30:
print('very overweight')
elif ybmi >=25:
print ('overweight')
elif ybmi >= 18.5:
print('normal')
else:
print('underweight') | Johnbui93/buixuantruong-fundamental-d4e14 | session2/bmi.py | bmi.py | py | 248 | python | en | code | 0 | github-code | 90 |
42137397148 | from odoo import models, fields, api , _
from dateutil import relativedelta
from dateutil.relativedelta import relativedelta
from datetime import datetime ,timedelta ,date
class CareCard(models.Model):
_name = 'care.card'
card_no = fields.Char(string="Card Number",readonly=True,copy=False,default=lambda self: _... | khadegaAhmed/odooTraining-ass2 | website-module/models/careCard.py | careCard.py | py | 1,600 | python | en | code | 0 | github-code | 90 |
2315062098 | import numpy as np
import cv2
import tensorflow as tf
from PIL import Image
import glob
from collections import defaultdict
# Read original BDD val labels and only select labels with pedestrians
def format_labels(images):
format_labels = []
for img in images:
for l in img['labels']:
... | iman-saleh/ethical-ai | bias_utils.py | bias_utils.py | py | 12,111 | python | en | code | 1 | github-code | 90 |
18420907319 | from itertools import accumulate
n,k=map(int,input().split())
s=input()
i=0
if s[0]=='1':
lst=[]
else:
lst=[0]
while i<n:
j=i
cnt=0
while j<n and s[i]==s[j]:
cnt+=1
j+=1
lst.append(cnt)
i=j
if 2*k+1>=len(lst):
print(n)
exit(0)
csum=list(accumulate(lst))
cur=... | Aasthaengg/IBMdataset | Python_codes/p03074/s976691993.py | s976691993.py | py | 452 | python | en | code | 0 | github-code | 90 |
4993473729 | from dateutil.parser import parse as date_parser
from mock import Mock
import pytest
from easytrakt.models import Episode
from easytrakt.models import Movie
from easytrakt.models import MovieWatchlist
from easytrakt.models import Season
from easytrakt.models import Settings
from easytrakt.models import Show
def test... | lad1337/easytrakt | tests/unit/test_data_retrieval.py | test_data_retrieval.py | py | 5,672 | python | en | code | 1 | github-code | 90 |
19602651216 | """
Cross-platform clipboard syncing tool
Copyright (C) 2013 Syncboard
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your opt... | syncboard/syncboard | src/gui_connections.py | gui_connections.py | py | 18,329 | python | en | code | 0 | github-code | 90 |
71660735018 | import modulo_csv
def leer(archivo):
"""[Autor: Alfonso]
[Ayuda: Lee el archivo linea por linea]
"""
lineas = [linea.rstrip('\n') for linea in archivo]
return lineas
def abro_archivo(archivo):
"""[Autor: Alfonso]
[Ayuda: abre un archivo]
"""
# encoding="utf8" us... | valentinthourte/tp-algoritmos1 | m_generar_archivos_csv.py | m_generar_archivos_csv.py | py | 6,427 | python | es | code | 0 | github-code | 90 |
18297673039 | import numpy
n, m = [int(i) for i in input().split()]
A = [int(i) for i in input().split()]
sup_A = 10 ** 5
B = [0] * (1 << 18)
for a in A:
B[a] += 1
C = numpy.fft.fft(B)
D = numpy.fft.ifft(C * C)
ans = 0
cnt = 0
for i in range(2 * sup_A, -1, -1):
d = int(D[i].real + 0.5)
if cnt + d >= m:
ans += (... | Aasthaengg/IBMdataset | Python_codes/p02821/s271119830.py | s271119830.py | py | 388 | python | en | code | 0 | github-code | 90 |
44076104359 | import threading
import time
import geometry_msgs.msg
import nav_msgs.msg
import rospy
from ..utils.position2 import Position2
class GoalPlannerAdapter(object):
def __init__(self, planner, map_adapter, robot_state, goal_topic_name, path_topic_name, planning_timeout,
planner_rate, is_point=True,... | MisterMap/pytorch-motion-planner | neural_field_optimal_planner/ros/goal_planner_adapter.py | goal_planner_adapter.py | py | 3,073 | python | en | code | 5 | github-code | 90 |
43325024074 | class personal:
def __init__(self, pilot, stewardess):
self.pilot = pilot
self.stewardess = stewardess
class ticket:
def __init__(self, ticket_type,ticket_cost):
self.ticket_type = ticket_type
self.ticket_cost = ticket_cost
class Airplane:
def __init__(self,model,gas,gas_co... | Torkvamedo/smx | Part2/HW_5.py | HW_5.py | py | 1,157 | python | en | code | 0 | github-code | 90 |
18237669742 | from flask import Blueprint, render_template, jsonify,request
import sqlite3
admin_data_bp = Blueprint('admin_data_bp',__name__, template_folder='templates')
DB_NAME = 'details2.db'
TABLE_NAME = 'details2'
@admin_data_bp.route('/admin_data',methods = ['GET','POST'])
def admin_data():
if request.method == 'GET':
... | saijaligama/m_sche | services/admin_data_service.py | admin_data_service.py | py | 667 | python | en | code | 0 | github-code | 90 |
18493120369 | S = input()
T = input()
sts = set(S)
stt = set(T)
for i in range(26):
c = chr(ord('a')+i)
idx1 = [i for i, x in enumerate(T) if x == c]
st1 = set([])
idx2 = [i for i, x in enumerate(S) if x == c]
st2 = set([])
for j in idx1:
if S[j] not in st1 and len(st1) > 0:
print('No')
exit()
el... | Aasthaengg/IBMdataset | Python_codes/p03252/s434099665.py | s434099665.py | py | 510 | python | en | code | 0 | github-code | 90 |
8638044435 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import os
import pandas as pd
newshade=[]
dayofyear=1
shade=pd.read_csv("shade.csv")
shade=shade.loc[shade['Date']==dayofyear]
shade=shade.reset_index(drop=True)
airmass=getAirmass(wdata)
| kaiser34/unlv_met_station | test.py | test.py | py | 273 | python | en | code | 0 | github-code | 90 |
73077482856 | import numpy as np
from scipy.fftpack import ifft
from AudioDSP.spectrogram import STFT, OverlapAdd
from AudioDSP import utils as U
from AudioDSP.visualization import visualization as V
# Param_ISTFT not necessary. Use Param_STFT.
class ISTFT(U.NewModule):
# ISTFT module
def __init__(self, param_STFT=... | DavideBusacca/AudioDSP | spectrogram/ISTFT.py | ISTFT.py | py | 5,552 | python | en | code | 0 | github-code | 90 |
37104393697 | # -*- coding: utf-8 -*-
import numpy as np
from scipy.optimize import minimize
from abacus.config import EPSILON
class RiskAssessor:
"""
Used for the risk assessment of portfolio returns given an empirical return distribution. Risk assessment is found
through standard measurements of Value at Risk and Ex... | Sinbad-The-Sailor/Abacus | src/abacus/utilities/risk_assessor.py | risk_assessor.py | py | 5,885 | python | en | code | 15 | github-code | 90 |
18370889459 | n = int(input())
a = list(map(int, input().split()))
di = {}
for i in a:
if i in di:
di[i] += 1
else:
di[i] = 1
k = list(di.keys())
v = list(di.values())
if n%3!=0 and len(di)>1:
print('No')
elif len(di)==3 and v[0]==v[1]==v[2] and k[0]^k[1]^k[2]==0:
print('Yes')
elif len(di)==2 and ((v[... | Aasthaengg/IBMdataset | Python_codes/p02975/s996269201.py | s996269201.py | py | 484 | python | en | code | 0 | github-code | 90 |
23713713662 | from flask import url_for
from flask_testing import TestCase
from application import app
from unittest.mock import patch
class TestBase(TestCase):
def create_app(self):
return app
class TestService3(TestBase):
def test_all_activities(self):
for _ in range(20):
response = self.clien... | InaamIslam/DevOps_Project2 | service3/testing/test_service3.py | test_service3.py | py | 1,646 | python | en | code | 1 | github-code | 90 |
72063446058 | import leitorpkmn
from sys import stdin
import xml.etree.ElementTree as ET
import ataque
class Pokemon:
def __init__(self, atrib = ['', -1, -1, -1, -1, -1, -1, -1, -1, []]):
if (len(atrib) < 10):
print("Atributos faltando no Pokemon!!")
while (len(atrib) < 10):
atrib.append(-1)
atrib[1] = -1
atrib[... | QuartetoFantastico/projetoPokemon | pokemon.py | pokemon.py | py | 4,539 | python | en | code | 0 | github-code | 90 |
41833448670 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
SYSVOLT = 5
ADC_RESOLUTION = 4095
MAX_VOLT = 2.442
MIN_VOLT = 0
MIN_TEMP = -50
MAX_TEMP = 50
# In[2]:
def adc_raw_value(v):
if(v >= MIN_VOLT and v <= MAX_VOLT):
ADC = (v*(ADC_RESOLUTION/SYSVOLT))
return round(ADC)
else:
return None
... | 96ibman/datainsight_datascience_program | adc_to_temp/adc_to_temp.py | adc_to_temp.py | py | 986 | python | en | code | 0 | github-code | 90 |
16471811244 | import csv
# Create frequency dictionary
datasetNumber = 2
believabilityColStr = "True" # Change what value of row you're looking for (In this case True or False)
filePrefix = believabilityColStr.upper()
myDict = {}
with open(f'./dataForSmallBarCharts/dataset_{datasetNumber}_with_urls.csv') as csv_file: # Choose whi... | chrisWyble/BarChartsInD3 | frequencyCounter.py | frequencyCounter.py | py | 3,303 | python | en | code | 0 | github-code | 90 |
42361987862 | # def lengthOfLongestSubstring(s):
# """
# :type s: str
# :rtype: int
# """
# curr_count = 0
# max_count = 0
# curr_s = ""
# max_s = ""
#
# chars = {}
#
# for char in chars:
# if char not in chars:
# chars[char] = char
# curr_s = curr_s + char
# ... | priyankaparikh/algorithms | strings/longest_sub.py | longest_sub.py | py | 1,141 | python | en | code | 2 | github-code | 90 |
10526604590 | from pytube import YouTube
from sys import argv
link = argv[1]
youtubeObject = YouTube(link)
print("Currently downloading audio of: ", youtubeObject.title)
print("From: ", youtubeObject.author)
print("From: ", youtubeObject.length)
audioFromObject = youtubeObject.streams.get_audio_only()
audioFromObject.download('.... | WojMam/youtube-downloader | downloadAudio.py | downloadAudio.py | py | 338 | python | en | code | 2 | github-code | 90 |
30657719850 | import scrapy
import re
from pymongo import MongoClient
class PdgaSpider(scrapy.Spider):
name = 'pdga'
def __init__(self, number):
self.start_urls = ['http://pdga.com/player/' + number + '/details']
def parse(self, response):
client = MongoClient('mongodb+srv://newuser:NewUserPassword2021!!@cs4830.ie08b.mo... | noahfree/1000-rated-rounds-webscraper | python/spiders/pdga.py | pdga.py | py | 1,053 | python | en | code | 0 | github-code | 90 |
2512653351 | from sys import stdin
input = stdin.readline
n = int(input())
gw = 0
for _ in range(n):
s = input().rstrip()
stack = []
for i in s:
if i == 'A':
if stack and stack[-1] == i:
stack.pop()
else:
stack.append('A')
elif i == 'B':
... | 0dOj/0dOj_Algorithm | Python/3000~3999/3986.py | 3986.py | py | 477 | python | en | code | 0 | github-code | 90 |
73379827815 | import sys
LEFT_CAM_ID = "0F259C0F"
CENTER_CAM_ID = "1AE49C0F"
RIGHT_CAM_ID = "A01B64BF"
THERMAL_CAM_ID = None
HUMAN_STR = {
LEFT_CAM_ID: "left",
CENTER_CAM_ID: "center",
RIGHT_CAM_ID: "right",
THERMAL_CAM_ID: "thermal"
}
CAM_ID = {
"left": LEFT_CAM_ID,
"center": CENTER_CAM_ID,
"right": R... | Ztrura/Infosec_final | Infosec_final/const.py | const.py | py | 1,434 | python | en | code | 0 | github-code | 90 |
7218975135 | class UnionFind:
def __init__(self, V):
self.par = [-1 for _ in range(V)]
self.siz = [1 for _ in range(V)]
def root(self, i):
if self.par[i] == -1:
return i
else:
return self.par[i] == self.root(self.par[i])
def issame(self, x, y):
return sel... | meshidenn/algorithm_and_data_structure | python/chap11/practice11.1.py | practice11.1.py | py | 1,116 | python | en | code | 0 | github-code | 90 |
72994538538 | import requests
from requests import get
from bs4 import BeautifulSoup
import sqlite3
import json
from secret_data import OMDb_API_Key
import csv
import sys
# import plotly
# import plotly.express as px
# Caching imdb json
IMDB_CACHE_FNAME = 'cache_imdb.json'
try:
cache_file = open(IMDB_CACHE_FNAME, 'r')
cache... | rexchsu/si507 | final_project.py | final_project.py | py | 6,983 | python | en | code | 0 | github-code | 90 |
74099235178 | """
Given the head to a singly linked list,
where each node also has a “random” pointer that points to anywhere in the linked list,
deep clone the list.
"""
class Node:
def __init__(self, value, next=None, random=None):
self.value = value
self.next = next
self.random = random
def deepcop... | danny-hunt/Problems | random_list_clone/random_list_clone.py | random_list_clone.py | py | 455 | python | en | code | 2 | github-code | 90 |
19378840446 | # Given a string s, return the longest palindromic substring in s.
class Solution:
def longestPalindrome(self, s: str) -> str:
size = len(s)
if size < 2:
return s
start_idx = 0
max_length = 1
dp = [[False for _ in range(size)] for _ in range(size)]
for ... | joneyyx/LeetCodes | elementaryAlgorithms/Dynamic Programming/5LongestPalindrome.py | 5LongestPalindrome.py | py | 1,071 | python | en | code | 0 | github-code | 90 |
3494401134 | import os
import os.path
import xlrd
# 读取文档路径
rootdir = r"D:\FromWget\test"
# 将符合金融行业的文件名写入以下文档
file_object = open('Result.txt','w',encoding='utf-8')
# 最后更新日期
last_Update_Date = "2018-06-30"
# 结果集列表
finance_List = [] # 金融产品结果
last_Update_List = [] # 符合最后更新日期结果
grow_List = [] # 符合成长条件结果
# 读取文件，根据A16是否有值 判断 是否是金融行业
def ... | muyifang1/woodyblockQuant | python/RecordFinanceNames.py | RecordFinanceNames.py | py | 2,984 | python | zh | code | 0 | github-code | 90 |
18028299129 | N = int(input())
S = input()
x = 0
xmax = 0
for i in range(N):
if S[i] == "I":
x += 1
elif S[i] == "D":
x -= 1
if xmax <= x:
xmax = x
print(xmax) | Aasthaengg/IBMdataset | Python_codes/p03827/s629816347.py | s629816347.py | py | 181 | python | en | code | 0 | github-code | 90 |
20697015695 | from intervalframe import IntervalFrame
from ailist import LabeledIntervalArray
from math import e
import numpy as np
import pandas as pd
import glob
# Local imports
from ..fragments import Fragments
from ..io.read_sam import from_sam
from ..segment.cnv import call_cnvs
from ..correct.correct_intervals import calculat... | kylessmith/ngsfragments | ngsfragments/metrics/gene_activity.py | gene_activity.py | py | 10,309 | python | en | code | 1 | github-code | 90 |
31695247551 | import pytest
from src.main.image_processor import ImageProcessor
from constants import *
from src.main.result_processor import ResultProcessor
from src.main.alert_processor import AlertProcessor
import datetime
@pytest.fixture
def local_alert_processor():
alert=AlertProcessor()
return alert
@pytest.fixtur... | sidharthbolar/raspberry-pi-wfh-efficiency | src/test/conftest.py | conftest.py | py | 1,090 | python | en | code | 1 | github-code | 90 |
39892247830 | hour, minute = input().split()
hour = int(hour)
minute = int(minute)
if hour > 24 or minute > 60:
print('잘못된 시간 입력입니다.')
elif minute - 45 < 0:
if hour - 1 < 0:
hour = 24 - 1
else:
hour -= 1
minute = (60 + minute) - 45
else:
minute -= 45
print(hour, minute) | CukCoding/GimBab | WinterVacation2021/1주차/2884.py | 2884.py | py | 313 | python | en | code | 0 | github-code | 90 |
13810179989 | from django.apps import AppConfig
class EventConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'event'
def create_new_permissions(self):
from django.contrib.contenttypes.models import ContentType
from django.contrib.auth.models import Permission
from ... | HackAssistant/hackassistant | event/apps.py | apps.py | py | 1,670 | python | en | code | 6 | github-code | 90 |
18744250545 | import torch
from torch import nn
def diceCoeffv2(pred, gt, eps=1, activation='sigmoid'):
r""" computational formula：
dice = (2 * tp) / (2 * tp + fp + fn)
"""
if activation is None or activation == "none":
activation_fn = lambda x: x
elif activation == "sigmoid":
activation_fn ... | kaoxing/seg | mytrain/ModelClass/lossFunc.py | lossFunc.py | py | 1,685 | python | en | code | 2 | github-code | 90 |
26251731268 | howmany = int(input())
elems = list(map(int, input().split()))
"""
순열 알고리즘의 key point : 하나씩 뽑아서 두고, 나머지 리스트에서 다시 재귀해서 그 뽑아 뒀던거랑 하나씩 붙이는 거!
permutation([1,2,3,4],2) = ([1] + permutation([2,3,4],1)) and
([2] + permutation([1,3,4],1)) and ([3] + permutation([1,2,4],1)) and
([4] + permutation([1,2,3],1))
"""
def perm(ls... | MaxKim-J/hufs-algorithm-study | yunhee/10819 - 차이를 최대로.py | 10819 - 차이를 최대로.py | py | 1,241 | python | ko | code | 1 | github-code | 90 |
40329846265 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#导入需要的包
from pyecharts import options as opts
from pyecharts.charts import Sankey
#列全涉及的节点名称
nodes = [
{"name": "产品1"},
{"name": "产品2"},
{"name": "产品3"},
{"name": "产品4"},
{"name": "产品5"},
{"name": "产品6"},
{"name": "新增"},
]
#节点之间的关系和数量，source起... | gswyhq/hello-world | 作图/桑基图.py | 桑基图.py | py | 1,539 | python | en | code | 9 | github-code | 90 |
23165053112 | import random
score_ordi = 0
score_player = 0
def end(who):
if who == "player":
input("\nVous avez gagné!")
score_player += 1
elif who == "nobody":
input("\nEgalité.")
else:
input("\nVous avez perdu.")
score_ordi += 1
def manche():
choix_joueur = inp... | Bic3D/NSI | python/shifumi.py | shifumi.py | py | 1,467 | python | fr | code | 0 | github-code | 90 |
2900478720 | import os
import tqdm
import wandb
import pandas as pd
from pandas.api.types import is_list_like
from typing import List, Dict, Any, Union
def get_runs(project: str = "opentensor-dev/openvalidators", filters: Dict[str, Any] = None, return_paths: bool = False) -> List:
"""Download runs from wandb.
Args:
... | opentensor/validators | analysis/utils.py | utils.py | py | 3,855 | python | en | code | 9 | github-code | 90 |
4886833980 | import datetime
import sys
import helpers
from bson import Binary, Code
import math
import numpy as np
import matplotlib.pyplot as plt
import os
from pylab import *
def main(sessDB='sessionsNew',show=False,save=False):
'''
'''
col = helpers.getCollection(sessDB)
groups = getMaxMinForUsers(col)
time... | mcmhav/suchBazar | statsMakers/userAges.py | userAges.py | py | 4,372 | python | en | code | 0 | github-code | 90 |
18306017419 | N = int(input())
A_list = []
for i in range(N):
A = int(input())
A_list.append([list(map(int, input().split())) for _ in range(A)])
def judge(mask):
for i in range(N):
if (mask>>i & 1)==0:
continue
for xy in A_list[i]:
x = xy[0]-1
y = xy[1]
... | Aasthaengg/IBMdataset | Python_codes/p02837/s622149285.py | s622149285.py | py | 647 | python | en | code | 0 | github-code | 90 |
16376840794 | from __future__ import print_function
from flask import Flask, render_template, request
import requests
app = Flask(__name__)
@app.route('/get-weather', methods=['POST'])
def get_weather():
zipCode = request.form['zipcode']
apiKey = '2aa22bfd4f125e1fe25e5f74afdeec7b'
url = 'https://api.openweathermap.org... | chinnu110/sample-project | weather-app/app.py | app.py | py | 987 | python | en | code | 0 | github-code | 90 |
20746033031 |
# from model.backbone import resnet18_SFNet, resnet50_SFNet # 加载预训练模型与参数
# from model.model_Test import Test_model
# from model.model_Updown_HMSA_InverForm_GSCNN_SFNet import Updown_HMSA_InverForm_GSCNN_SFNet
from util.util import AverageMeter, poly_learning_rate, intersectionAndUnionGPU, find_free_port, get_args... | Yanhua-Zhang/MultiTrans | Project_MultiTrans_V0/model_summary_backbone.py | model_summary_backbone.py | py | 1,670 | python | en | code | 0 | github-code | 90 |
1834843448 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from pymongo import MongoClient
import regex as re
settings = {
"ip":'localhost', #ip
"port":27017, #端口
"db_name" : "mydb", #数据库名字
"set_name" : "test_set" #集合名字
}
class MyMongoDB(object):
def __init__(self):
try:
sel... | liuhyzhy0909/FMSNLP | MongoForFMS.py | MongoForFMS.py | py | 1,516 | python | en | code | 0 | github-code | 90 |
73138074216 | #!/usr/bin/python
import os
import sys
from optparse import OptionParser
import subprocess
import requests
def _get_project():
git_remote = subprocess.Popen(['git', 'remote', '-v'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
git_remote = git_remote.communicate()
url = git_remote[0].split(' ')[0]
... | tomascanzoniero/git-tool | main.py | main.py | py | 4,788 | python | en | code | 0 | github-code | 90 |
2036684907 | #!/usr/bin/env python3
import asyncio
import os
import sys
import logging
import time
from JDIN import config
from JDIN import logger
from JDIN import BaseProtocol
trace = logging.getLogger(__name__)
class Tester():
def __init__(self, ip, port):
self.tcase = dict()
self.__addr = ... | choibyoungyun/CLI | modules/JDIN/OAMTester.py | OAMTester.py | py | 4,040 | python | en | code | 0 | github-code | 90 |
16627618737 | from re import template
from fastapi import FastAPI, Body
from starlette.templating import Jinja2Templates
from starlette.requests import Request
import sqlalchemy
engine = sqlalchemy.create_engine(
'mysql+pymysql://root:Makt0112pc-49466@localhost:3306/db_fastapi')
app = FastAPI(
title='FastAPIでつくるtoDoアプリケー... | poteto1212/fastapi_sql | controllers.py | controllers.py | py | 1,975 | python | en | code | 0 | github-code | 90 |
20388946289 | import typing as tp
from pathlib import Path
from sklearn.metrics import roc_auc_score
from tg.grammar_ru.ml.components import GrammarMirrorSettings
from tg.common.ml import batched_training as bt
from tg.common.ml.batched_training import torch as btt
from tg.common.ml.batched_training import mirrors as btm
features... | okulovsky/grammar_ru | archive/SemyonKolesnikov/common/run_training.py | run_training.py | py | 2,485 | python | en | code | 11 | github-code | 90 |
18036016739 | n = int(input())
a = list(map(int, input().split()))
flg = 0
a.sort()
if n % 2 == 0:
if a[0] == 1 and a[1] == 1:
for i in range(2, n, 2):
if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:
continue
else:
flg = 1
break
else:
flg = 1
else:
if a[0] == 0:
for i in range(1, ... | Aasthaengg/IBMdataset | Python_codes/p03846/s225379130.py | s225379130.py | py | 529 | python | en | code | 0 | github-code | 90 |
44848400666 | import re
import akshare as ak
import datetime
from pycnnum import cn2num
def compare_4lpr(mystr,year,month,day):
"""
mystr:输入文本如“月利率0.2%”
year,month,day:LPR参考的时间,格式为2022,2,21
return:转换后相应的月利率monthly_rate,是否大于4倍LPR
"""
# 1.提取给定时间的LPR
lpr_df = ak.macro_china_lpr()
# 一年期lpr
lpr_1... | DongQian89/rate-comparison | rateTool/compare.py | compare.py | py | 2,785 | python | en | code | 0 | github-code | 90 |
20368711951 | class Solution:
def rotate_left(self,people,value,index):
if len(people) > 1100:
return 0
# print("#input",people)
for _ in range(value):
people[index],people[index-1] = people[index-1],people[index]
index -= 1
return people
def reconstruc... | RishabhSinha07/Competitive_Problems_Daily | 406-queue-reconstruction-by-height/406-queue-reconstruction-by-height.py | 406-queue-reconstruction-by-height.py | py | 1,002 | python | en | code | 1 | github-code | 90 |
18289640699 | import sys
# ## COMBINATION (MOD) ## #
MOD = 10**9 + 7 # , N = 2*10**5 で 0.3s
N_MAX = 10**5 + 1 # 問題サイズに合わせて変えておく
fac = [1, 1] # 元テーブル
facinv = [1, 1] # 逆元テーブル
inv = [0, 1] # 逆元テーブル計算用テーブル
for i in range(2, N_MAX + 1):
fac.append((fac[-1] * i) % MOD)
inv.append((-inv[MOD % i] * (MOD // i)) % MOD)
f... | Aasthaengg/IBMdataset | Python_codes/p02804/s281186094.py | s281186094.py | py | 971 | python | ja | code | 0 | github-code | 90 |
23427758432 | import uuid
import json
import logging
from urllib.parse import quote, urlencode
from django.conf import settings
from rest_framework.status import (
HTTP_500_INTERNAL_SERVER_ERROR,
HTTP_400_BAD_REQUEST,
)
from rest_framework.decorators import api_view
from rest_framework.response import Response as RestRespo... | sysang/myinfoablr | server/myinfoapi/views.py | views.py | py | 2,319 | python | en | code | 1 | github-code | 90 |
31290370192 | from .nodes import Node
from .player import Player
from .tree import create_game_tree, branches_from_dealer
from .cards import *
class Game:
"""
Facilitates a game of poker
"""
def __init__(self, tree: Node):
names = ['SB', 'BB']
cards = draw_random_cards(all_cards_excluding(), 9)
... | kailasbk/pokerbots-21 | cfr/game.py | game.py | py | 3,518 | python | en | code | 0 | github-code | 90 |
18340032469 | odd='RUD'
even='LUD'
s=input()
flag=0
for i in range(len(s)):
a=i+1
if a%2==0:
if s[i] not in even:
flag=1
break
else:
if s[i] not in odd:
flag=1
break
if flag==1:
print ('No')
else:
print ('Yes') | Aasthaengg/IBMdataset | Python_codes/p02910/s696277766.py | s696277766.py | py | 238 | python | en | code | 0 | github-code | 90 |
38234500285 | import functools
import traceback
from dataclasses import dataclass
from enum import Enum, auto
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Set,
Tuple,
Union,
)
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functiona... | fengbingchun/PyTorch_Test | src/pytorch/torch/distributed/fsdp/fully_sharded_data_parallel.py | fully_sharded_data_parallel.py | py | 53,869 | python | en | code | 14 | github-code | 90 |
18188816809 | import math
import collections
import fractions
import itertools
import functools
import operator
import bisect
def solve():
n, m, k = map(int, input().split())
a = list(map(int, input().split()))
b = list(map(int, input().split()))
ruia, ruib = [0], [0]
for i in range(n): ruia.append(a[i]+ruia[i])... | Aasthaengg/IBMdataset | Python_codes/p02623/s377283566.py | s377283566.py | py | 607 | python | en | code | 0 | github-code | 90 |
34829702879 | import argparse
import cogapp
import contextlib
import io
import os
import os.path
import random
import shlex
import shutil
import sys
import tempfile
guid = None
projects = None
local = None
def problem_number(s):
try:
n = int(s)
if 0 < n <= 26:
return n - 1
except ValueError:
... | Ralor/acm-conventions | generator/__main__.py | __main__.py | py | 5,216 | python | en | code | 1 | github-code | 90 |
9583245882 | # Leetcode 424
from collections import defaultdict
class Solution:
def characterReplacement(self, s: str, k: int) -> int:
frequency = defaultdict(int)
left = 0
max_length = 0
max_frequency = 0
for right,elem in enumerate(s):
frequency[elem]+=1
max_fr... | JamilHaidar/LeetCodeExercises | Blind75/SlidingWindow/Longest_Repeating_Character_Replacement.py | Longest_Repeating_Character_Replacement.py | py | 574 | python | en | code | 1 | github-code | 90 |
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