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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
13271941086 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from pyk.kore.parser import KoreParser
from pyk.kore.syntax import And, App, Kore, Or, Pattern, SortVar, kore_term
if TYPE_CHECKING:
from collections.abc import Mapping
from typing import A... | runtimeverification/pyk | src/tests/unit/kore/test_parser.py | test_parser.py | py | 4,551 | python | en | code | 12 | github-code | 1 |
30840715674 | import random
import string
import cv2
import os
import argparse
BASE_DIR = os.getcwd()
def cut_img(image, column_num, row_num, prefix_name):
"""
image: 이미지 경로
column_num: 가로로 자를 갯수
row_num: 세로로 자를 갯수
prefix_name: 고정된 이름
"""
if os.path.isdir(os.path.join(BASE_DIR, 'cuted_img')):
f... | yyeseull/Assignment | image_cut_merge/cut_image.py | cut_image.py | py | 2,100 | python | en | code | 0 | github-code | 1 |
41055670466 | from test_tools.example_stubber import ExampleStubber
class ConfigStubber(ExampleStubber):
"""
A class that implements stub functions used by AWS Config unit tests.
The stubbed functions expect certain parameters to be passed to them as
part of the tests, and raise errors if the parameters are not as... | awsdocs/aws-doc-sdk-examples | python/test_tools/config_stubber.py | config_stubber.py | py | 3,153 | python | en | code | 8,378 | github-code | 1 |
43556660305 | """
Reverse a 3-digit integer.
Example 1:
Input: number = 123
Output: 321
Example 2:
Input: number = 900
Output: 9
"""
class Solution:
"""
@param number: A 3-digit number.
@return: Reversed number.
"""
def reverseInteger(self, number):
numberStr = list(str(number))
tmp = numberStr[... | TripleC-Light/LintCode | 37/LintCode.py | LintCode.py | py | 521 | python | en | code | 0 | github-code | 1 |
34189951363 |
import matplotlib.animation as animation
from pyparticles.utils.pypart_global import *
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import pyparticles.pset.particles_set as ps
import pyparticles.pset.logger as log
import pyparticles.animation.animated... | simon-r/PyParticles | pyparticles/main/main.py | main.py | py | 11,061 | python | en | code | 77 | github-code | 1 |
34000053425 | # n = 10
# a = [4, 5, 7, 2, 7, 4, 8, 3, 9, 3]
n = int(input())
a = [int(i) for i in input().split(" ")]
a.sort()
m = n % 2
alice = 0
bob = 0
while n > 0:
if n % 2 == m:
alice += a[-1]
else:
bob += a[-1]
a.pop()
n -= 1
print(alice - bob) | yojiyama7/python_competitive_programming | atcoder/_old/some/b_card_game_for_two.py | b_card_game_for_two.py | py | 273 | python | en | code | 0 | github-code | 1 |
21130305160 | from db import DB
from crawl import Crawl
from goods import Goods
from mail import Mail
import time
import sched
class Monitor:
def __init__(self, email='1656704949@qq.com', rate=60, note=60 * 60):
self.scheduler = sched.scheduler(time.time, time.sleep)
self.goods_dict = {}
self.db = DB()
... | zhangbincheng1997/mall-monitor | web/monitor.py | monitor.py | py | 3,752 | python | en | code | 10 | github-code | 1 |
41291806836 | import boto3
from botocore.exceptions import ClientError
import json
from botocore.vendored import requests
dynamodb = boto3.resource('dynamodb', region_name='us-east-1', endpoint_url="https://dynamodb.us-east-1.amazonaws.com")
subscriptions_table = dynamodb.Table('test')
AWS_REGION = "us-east-1"
SUBJECT = "newsApp -... | allexg/newsApp | email-newsletter-Lambda/lambda_function.py | lambda_function.py | py | 2,691 | python | en | code | 0 | github-code | 1 |
6142096003 | import re
class Solution:
def myAtoi(self, s: str) -> int:
s_array = s.split()
if s_array:
s_f = s_array[0]
if re.match(r'^\+-',s_f):
return 0
else:
return 0
if re.match(r'\+?(\-?\d+)',s_f):
s_fu = re.match(r'\... | fatihtx/practice_codes | myAtoi.py | myAtoi.py | py | 1,012 | python | en | code | 0 | github-code | 1 |
5170271632 | from os import name
from django.shortcuts import render
from django.http import HttpResponse
from django.core.files.storage import FileSystemStorage
from subprocess import run, PIPE
import sys ,os
import detect
from webs.controller import count,data_label
from webs.controller import banana_ripe_or_raw,guava_rip... | LoneWolf1999-Th/Fruit_Detect | webs/views.py | views.py | py | 2,801 | python | en | code | 0 | github-code | 1 |
17308331819 | import os.path
import random
import urllib.request
from duckduckgo_images_api import search
def image_download(request, target_dir, max_trials=10):
results = search(request)
count = len(results['results'])
if count == 0:
return None
for i in range(min(max_trials, count)):
#index = rand... | 4sunshine/langbox | utils/web.py | web.py | py | 699 | python | en | code | 0 | github-code | 1 |
32534904655 | # main source file
import os
from .utils import update_poe_env, check_config
import poe
class Poe:
def __init__(self, bot: str = "capybara"):
self.poe_token = check_config()
self.poe_proxy = os.getenv('POE_PROXY')
self.poe_client = poe.Client(self.poe_token, proxy=self.poe_proxy)... | Mushrr/poe_terminal_chat | poe_terminal_chat/poeterminal.py | poeterminal.py | py | 1,322 | python | en | code | 3 | github-code | 1 |
39560119331 | import numpy as np
import multiprocessing as mp
from itertools import repeat
import time
import pandas as pd
# Custom functions from other files we wrote
import PSOTestFuncs as tf
from PSOInit import pso_init
from PSOInit import qpso_init
from PSOUpdate import veloc_update
from PSOUpdate import point_update
from PSOU... | anyapriya/PSO | PSOMain.py | PSOMain.py | py | 12,258 | python | en | code | 0 | github-code | 1 |
25142521036 | from typing import Any, Dict
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
CONV_DIM = 64
FC_DIM = 128
IMAGE_SIZE = 28
class ConvBlock(nn.Module):
"""
Simple 3x3 conv with padding size 1 (to leave the input size unchanged), followed by a ReLU.
"""
def __init__(s... | cluePrints/fsdl-text-recognizer-2021-labs | lab2/text_recognizer/models/cnn.py | cnn.py | py | 4,320 | python | en | code | null | github-code | 1 |
14240741723 | import gym
import gymnasium
def gym_space_migration(gym_space: gym.Space) -> gymnasium.Space:
if isinstance(gym_space, gym.spaces.Discrete):
return gymnasium.spaces.Discrete(gym_space.n)
elif isinstance(gym_space, gym.spaces.Box):
return gymnasium.spaces.Box(
low=gym_space.low,
... | DevSlem/recommender-system-rl-tutorial | recsim_env/utils.py | utils.py | py | 1,103 | python | en | code | 0 | github-code | 1 |
16565983104 | import keras
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
# Dense 全连接层，Activation 激活函数
from keras.layers import Dense, Activation
# 优化器
from keras.optimizers import SGD
def replace_char(string, char, index):
string = list(string)
string[index] = char
return ''.joi... | 1060807523/GitRepositories | code/Mask_RCNN-master/samples/drive/Nonlinear_regression.py | Nonlinear_regression.py | py | 2,013 | python | zh | code | 0 | github-code | 1 |
74163824034 | import numpy as np
from random import *
from fractions import Fraction
import random
def fill(banks,bankNum):
borrowers = 0
# go through each row/bank
for x in range (0, bankNum):
# input user for filling banks
line = input()
# split input
splitLine = line.split()
... | darejester/PythonStudies | bankLoaning/bankLoan.py | bankLoan.py | py | 2,072 | python | en | code | 0 | github-code | 1 |
7518399441 | import sys
from collections import namedtuple, OrderedDict
import atexit
import logging
from absl import flags
import gin
import numpy as np
from pysc2.lib.features import parse_agent_interface_format, SCREEN_FEATURES, MINIMAP_FEATURES, Features, FeatureType
from pysc2.env.environment import StepType
from pysc2.lib.act... | sati290/sc2ai | sc2ai/environments/sc2env.py | sc2env.py | py | 6,301 | python | en | code | 0 | github-code | 1 |
36766820641 | """
HTTP client tool for Svom
Retries requests with power law delays and a max tries limit
@author: henri.louvin@cea.fr
"""
import threading
import time
import requests
import asyncio
import aiohttp
import signal
# Log
import logging
log = logging.getLogger('http_client')
class HttpClient(threading.Thread):
... | HSF/Crest | crestdb-client/python/cli/crest/io/httpio.py | httpio.py | py | 9,021 | python | en | code | 3 | github-code | 1 |
74130368032 | import yaml
import os
import random
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
import torchvision
from torch.utils.tensorboard import SummaryWriter
from utils import get_root
from transforms import Resize, ToTensor, BatchRicianNoise, BatchRandomErasing
from dataset import DenoisingDa... | cviaai/ADAIR | denoising/train_denoising.py | train_denoising.py | py | 9,811 | python | en | code | 0 | github-code | 1 |
34366092564 | # -*- coding: utf-8 -*-
from builtins import object
from PyQt5 import QtCore, QtGui, QtWidgets
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
class Ui_qgsnewhttpconnectionbase(object):
def setupUi(self, qgsnewhttpconnectionbase):
qgsnewhttpconnectionbase.s... | kalxas/rasdaman | applications/qgis-wcps/qgis3/QgsWcpsClient1/qgsnewhttpconnectionbase.py | qgsnewhttpconnectionbase.py | py | 2,617 | python | en | code | 4 | github-code | 1 |
73062309793 | # -*- coding: utf-8 -*-
from mrjob.job import MRJob
from mrjob.protocol import JSONProtocol, RawValueProtocol
from mrjob.step import MRStep
import numpy as np
######################## Helper Methods and Classes ##########################
def cholesky_solution_linear_regression(x_t_x,x_t_y):
'''
Finds par... | AmazaspShumik/MapReduce-Machine-Learning | Linear Regression MapReduce/LinearRegressionTS.py | LinearRegressionTS.py | py | 6,517 | python | en | code | 22 | github-code | 1 |
290347917 | import requests
import re
import pymysql
from lxml import etree
header = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36"}
reques = requests.get('http://www.open.com.cn/encrollregulation-3333.html', headers=header)
reques.encoding = 'u... | zhouf1234/untitled9pachon | 测试10.py | 测试10.py | py | 2,910 | python | es | code | 1 | github-code | 1 |
10258457825 | from server import *
from functionGen import *
from trigger import *
from spi import *
import math
import time
import queue
import threading
import sys
class MiddleWare:
def __init__(self):
self.points = 60
self.living = True
self.server = Server()
self.spi = Spi(self.points)
... | Typhoone/IEP | BackEnd/src/python/middleWare.py | middleWare.py | py | 4,386 | python | en | code | 0 | github-code | 1 |
24390060708 | from flask import Flask, make_response
from bson.json_util import dumps
from models import note
import json
import pymongo
import UserDAO
import PlacesDAO
import Place
import WeatherHour
import AlertInfo
import WeatherCamLink
app = Flask(__name__)
app.debug = True
connection_string = "mongodb://localhost"
connection ... | theNerd247/twcHackathon | app.py | app.py | py | 1,188 | python | en | code | 0 | github-code | 1 |
25348338231 | # encoding: utf-8
import sys
import os
import io
from managermentFileForqiniu import managerfile
import logging
import datetime
##log
logging.basicConfig(level=logging.DEBUG,format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',datefmt='%Y %m %d %H:%M:%S',filename='SyncOperation_main.log',file... | weixlkevin/SmartHomekit | SyncOperation.py | SyncOperation.py | py | 1,213 | python | en | code | 0 | github-code | 1 |
9345705854 | # -*- coding: utf-8 -*-
#Za GUI
from turtle import Turtle, Screen
#Za komunikaciju
from socket import socket, AF_INET, SOCK_STREAM
#Za multi-threading
from _thread import start_new_thread
#Za odgodu-vrijeme
from time import sleep
def primi_thread(c):
while True:
y = c.recv(500).decode('UTF-8')
pad... | jyyblue1987/pingpong_game | server.py | server.py | py | 3,901 | python | en | code | 0 | github-code | 1 |
44401912202 | import serial
import numpy as np
import csv
device=serial.Serial("/dev/ttyUSB0",230400)
distance0=1
distance1=7.5
##mm
arange=np.arange(distance0,distance1,0.1)
f= open("data/trail9-5.4mm.csv","w")
writer=csv.writer(f)
for i in arange:
print("Move Slit to: ",str(i))
input("Press enter to continue")
... | cwru-robin/Phys301 | Photon Counting/take_data.py | take_data.py | py | 532 | python | en | code | 0 | github-code | 1 |
26198111833 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# PYTHON_ARGCOMPLETE_OK
"""
SVG Templating System (C) Max Gaukler and other members of the FAU FabLab 2013-2022
unlimited usage allowed, see LICENSE file
"""
from lxml import etree
from copy import deepcopy
import inspect
from io import BytesIO
import re
import locale
im... | fau-fablab/etiketten | svgtemplate.py | svgtemplate.py | py | 15,188 | python | en | code | 2 | github-code | 1 |
38793762624 | #!/usr/bin/env python
# Create status info of ISC DHCPd leases in JSON format.
#
# Depends on python module netaddr.
# Install with pip install netaddr.
# Depends on iscconf for parsing dhcpd.conf.
# Install with pip install iscconf
# Depends on python 2.7 for argparse.
#
# This was written because dhcpstatus kept... | stemid/devops | tools/dhcpstatus.py | dhcpstatus.py | py | 5,321 | python | en | code | 9 | github-code | 1 |
26731665258 | #!/usr/bin/env python3.6
"""Simulate trees under site + gene + lineage + site x lineage variation."""
import variation
import my_module as mod
def main():
"""Simulate gene trees for genes with gene + lineage + sitexlineage variation.
This will involve a base tree for each bin per gene
each gene will have... | alanbeavan/simulating_substituion_rate | scripts/s_g_l_sxl.py | s_g_l_sxl.py | py | 1,100 | python | en | code | 0 | github-code | 1 |
37458586421 | import numpy as np
import pandas as pd
import time
MAX_EPISODES = 13 # 游戏回合
FRESH_TIME = 0.3 # 每步移动的时长
ALPHA = 0.1 # 学习速率
GAMMA = 0.99 # 折减系数
class Maze_Env():
def __init__(self):
self.N_STATES = 6 # 一维迷宫的长度
self.ACTIONS = ['left', 'right'] # agient 拥有的操作
def reset(s... | Lufffya/DeepRL | 1-1-Q-Learning/simple_maze.py | simple_maze.py | py | 3,870 | python | en | code | 1 | github-code | 1 |
31130560486 | """
@Filename: core/testcase/test_login.py
@Author: 小蔡
@Time: 2022/09/28 20:30
@Describe: ...
"""
import json
import requests
# def img2code(file):
# url = "http://47.106.70.21:5516/auth/login"
#
# data = {
# "user": "pengjiangchun",
# "pass2": "3eb5f9a3a31fb000969e696d7c3cc71f", # ... | 15946859495/UI_frame | core/until/funcs.py | funcs.py | py | 1,602 | python | en | code | 0 | github-code | 1 |
365934322 | import sys
from hypothesis.version import __version__
message = """
Hypothesis {} requires Python 3.6 or later.
This can only happen if your packaging toolchain is older than python_requires.
See https://packaging.python.org/guides/distributing-packages-using-setuptools/
"""
if sys.version_info[:3] < (3, 6): # pra... | webanck/GigaVoxels | lib/python3.8/site-packages/hypothesis/_error_if_old.py | _error_if_old.py | py | 383 | python | en | code | 23 | github-code | 1 |
41337878373 | import pandas as pd
from sodapy import Socrata
from math import ceil
soil_variables = ['ph_agua_suelo_2_5_1_0', 'potasio_k_intercambiable_cmol_kg', 'f_sforo_p_bray_ii_mg_kg']
def create_client():
client = Socrata("www.datos.gov.co", None)
return client
def get_data(dataset_identifier, **kwargs)... | Juanes7222/Parcial1 | API/api.py | api.py | py | 2,044 | python | en | code | 0 | github-code | 1 |
30647054410 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 24 09:27:21 2017
@author: Admin
"""
import pandas as pd
### READ IN DATA SOURCE
### READ DIFFRENT SECTIONS FOR TRAIN, TEST, PREDICT
df_train = pd.read_csv('LMPD_STOPS_DATA_CLEAN_V1_HEADERS.csv', nrows=100000, skipinitialspace=True)
# SAve Headers for the next selections... | arkingsolver/SciKit_Learn_LMPD | scikit_linear_citation.py | scikit_linear_citation.py | py | 2,314 | python | en | code | 0 | github-code | 1 |
1186013100 | # Marty Dang 3/13/18
# This program does the followering:
# 1. Takes in an input of a .txt file, as command prompt
# 2. It then scans and picks out the individual words
# 3. Outputs those words to another file
# 4. In that other file, it should append the link of the website with the word
# 5. Append all of tha... | flnasc/ricoeur_and_others | code/TopicNavigator/Front-End/javascriptdata.py | javascriptdata.py | py | 2,091 | python | en | code | 1 | github-code | 1 |
41171074257 | import sys
def matrixChainOrderDynamicProgramming(input_array: list, size_of_input: int):
'''
Dynamic Programming Python implementation of Matrix
Chain Multiplication. See the Cormen book for details
of the following algorithm.
For simplicity of the program, one extra row and one
extra colum... | Rubix982/Algor | apps/base/src/matrix_chain_multiplication.py | matrix_chain_multiplication.py | py | 3,479 | python | en | code | 1 | github-code | 1 |
39509611798 | T = int(input())
for i in range(1,T+1):
N = int(input())
num_list = list(map(int,input().split()))
min_value = num_list[0]
max_value = num_list[0]
for j in num_list:
if j <= min_value:
min_value = j
if j >= max_value:
max_value = j
... | choikeunyoung/algorithm | SWEA/파이선 SW 문제해결 기본/1 일차/min_max.py | min_max.py | py | 357 | python | en | code | 1 | github-code | 1 |
71921287393 | import random
# n = no of numbers
def randomlist(n):
List = []
for i in range(n):
List.append(random.randrange(1000))
return List
if __name__ == "__main__":
List = randomlist(10)
print(List) | ariel055132/data-structure | Sorting/LC_sorting/randomList.py | randomList.py | py | 220 | python | en | code | 0 | github-code | 1 |
22290846655 | import sys
from math import inf, cos, sin, pi
input = sys.stdin.readline
cases, min_rad, max_rad = map(int, input().strip().split())
points = {}
def pprint(coords):
print("{} {}".format(coords[0], coords[1]))
sys.stdout.flush()
def find_circle():
res = None
coords = [(x, y) for x in ra... | dhrumilp15/Puzzles | codejam/20/1b/p2.py | p2.py | py | 3,543 | python | en | code | 0 | github-code | 1 |
42583292052 | # derivative of polynomial
class Derivative:
'''The first derivative of a polynomial in standard algebraic notation.'''
def __init__(self, equation, variable="x"):
'''Create the polynomial and distinguished the first nomial.'''
self._first = equation.split('+')[0]
self._variable = var... | guoweier/DSAP_exercise | Chapter2/P-2-33.py | P-2-33.py | py | 1,526 | python | en | code | 0 | github-code | 1 |
72152597793 | from fastapi import APIRouter, Depends, HTTPException, status, Response
from requests import session
from controllers.controllers import ReservationController
from controllers.exceptions import ReservationException
from dependencies import get_token_header
from models import models
from schemas import schemas
from db.d... | Landris18/PamREST | Backend/routers/reservations.py | reservations.py | py | 2,557 | python | en | code | 4 | github-code | 1 |
32874145932 | """
Link: https://codeforces.com/contest/540/problem/C
Time complexity: O(2 * n * m)
Space complexity: O(n * m)
"""
from queue import Queue
directions = [(1, 0), (-1, 0), (0, 1), (0, -1)]
def bfs(start_r, start_c, end_r, end_c, graph, n, m):
q = Queue()
q.put((start_r, start_c))
while q.qsize() != 0:
... | hieuducnguyen/BigOCourse | 05_bfs/ice_cave.py | ice_cave.py | py | 1,173 | python | en | code | 2 | github-code | 1 |
16348260053 | import inspect
import traceback
import uuid
import warnings
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any
import pyttman
from pyttman.core.containers import MessageMixin, Reply
from pyttman.core.decorators import LifecycleHookRepository
from pyttman.core.mixins import Pr... | Hashmap-Software-Agency/Pyttman | pyttman/core/internals.py | internals.py | py | 4,999 | python | en | code | 7 | github-code | 1 |
8966558426 | import unittest
import os
import requests_mock
import tableauserverclient as TSC
TEST_ASSET_DIR = os.path.join(os.path.dirname(__file__), 'assets')
ADD_TAGS_XML = os.path.join(TEST_ASSET_DIR, 'view_add_tags.xml')
GET_XML = os.path.join(TEST_ASSET_DIR, 'view_get.xml')
GET_XML_USAGE = os.path.join(TEST_ASSET_DIR, 'view... | srmonteiro/dataFlying | templates/static/server-client-python-0.7/test/test_view.py | test_view.py | py | 8,750 | python | en | code | 1 | github-code | 1 |
6331063126 | import numpy as np
from sklearn.datasets import make_moons
import matplotlib.pyplot as plt
import neural_network as nn
def plot_decision_boundary(pred_func, X, y):
x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5
y_min, y_max = X[:, 1].min() - 0.5, X[:, 1].max() + 0.5
h = 0.01
xx, yy = np.meshgr... | blackz54/cs491project3 | driver.py | driver.py | py | 1,364 | python | en | code | 0 | github-code | 1 |
16168565185 | from datetime import datetime
from json import loads
from random import choice
from shutil import disk_usage
def main():
"""Main function that returns the values to the shell script that runs this."""
time = datetime.now()
time = time.strftime("%m/%d/%Y, %H:%M:%S")
print(f"{check_session()} / {get_dis... | pasenidis/ricing | bar/main.py | main.py | py | 1,569 | python | en | code | 0 | github-code | 1 |
72212308833 | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from . import MNISTAttack
class MNIST_LBFGS(MNISTAttack):
def __init__(self, model_class, weights_file, regularization="l2"):
super().__init__(model_class, weights_file)
assert reg... | FoConrad/NN-Hashing | attacks/mnist_lbfgs.py | mnist_lbfgs.py | py | 1,664 | python | en | code | 0 | github-code | 1 |
7116919725 | def classPhotos(redShirtHeights, blueShirtHeights):
if len(redShirtHeights) != len(blueShirtHeights):
return False
redShirtHeights.sort(reverse=True)
blueShirtHeights.sort(reverse=True)
first_row = 'RED' if redShirtHeights[0] < blueShirtHeights[0] else 'BLUE'
for idx in range(len(redShirtH... | Theeyecode/python_alg | Easy/class_photo.py | class_photo.py | py | 752 | python | en | code | 0 | github-code | 1 |
25082195093 | import mysql.connector
from mysql.connector import errorcode
cnx = mysql.connector.connect(user='USERNAME', database='NAME')
cursor = cnx.cursor()
query = ("SELECT brand, post, price FROM posts ")
cursor.execute(query)
for (brand, post, price) in cursor:
print("{}, {} {}".format(
brand... | SanHacks/Scrape-to-MySQL-Beautifulsoup-python | query.py | query.py | py | 368 | python | en | code | 3 | github-code | 1 |
70673994913 | import os
import shutil
import argparse
import subprocess
import random
import pandas as pd
import numpy as np
import pickle as pkl
import scipy as sp
import networkx as nx
import scipy.stats as stats
import scipy.sparse as sparse
from torch import nn
from torch import optim
from torch.nn import functional as F
from ... | KennthShang/PhaBOX | main.py | main.py | py | 55,258 | python | en | code | 16 | github-code | 1 |
14651838374 | # Time Complexity - O (n * log n)
def left(i):
return 2*i + 1
def right(i):
return 2*i + 2
def heapify(arr, n, i, max_min):
if max_min == 'max':
def comp(ele,large):
return ele > large
elif max_min == 'min':
def comp(ele, small):
return ele < small
else:
... | DhruvSrikanth/Algorithms | Sorting/heap_sort.py | heap_sort.py | py | 1,326 | python | en | code | 0 | github-code | 1 |
22623785092 | import logging
import time
import socket
import config
import json
import sys
if config.API_ENABLED:
if sys.version_info >= (3, 0):
# If using python 3, use urllib.parse and urllib.request instead of urllib and urllib2
from urllib.parse import urlencode
from urllib.request import Request, u... | ZuopanYao/TravelNetwork | shadowsocks-py-mu/shadowsocks/dbtransfer.py | dbtransfer.py | py | 12,012 | python | en | code | 0 | github-code | 1 |
24551877733 | # -*- coding: utf-8 -*-
"""
runserver
~~~~~~~~~
로컬 테스트를 위한 개발 서버 실행 모듈.
"""
import sys
from photolog import create_app
# 한글 설정관련 세팅
reload(sys)
sys.setdefaultencoding('utf-8')
application = create_app()
if __name__ == '__main__':
print('starting test server......')
application.run(host='0.0... | niceman5/pywebapp | pyapp/photolog/runserver.py | runserver.py | py | 398 | python | ko | code | 0 | github-code | 1 |
70735315874 | # %%
import os
import glob
import random
import monai
from os import makedirs
from os.path import join
from tqdm import tqdm
from copy import deepcopy
from time import time
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
from datetime import datetime
import cv2
import argparse
from mat... | bowang-lab/MedSAM | comparisons/DeepLabV3+/train_deeplabv3_res50.py | train_deeplabv3_res50.py | py | 8,501 | python | en | code | 1,269 | github-code | 1 |
19209564635 | from tkinter import *
import matplotlib.pyplot as plt
from PIL import ImageFilter,Image
import numpy as np
#import cv2
from IPython import get_ipython
import pyperclip
def input_emnist(st):
#opening the input image to be predicted
im_open = Image.open(st)
im = Image.open(st).convert('LA') #conversi... | sg1498/EMNIST | final_PROJECT_KERAS.py | final_PROJECT_KERAS.py | py | 6,648 | python | en | code | 1 | github-code | 1 |
38386534113 | # Szimuláljuk a dobókockadobást! 1-6
from random import choice, randint, shuffle
# randint fgv nem build-in function
# randint függvény a standard libary része
number = randint(1, 6)
print(number)
numbers = [2, 4, 6, 8]
shuffle(numbers)
print(numbers)
cards = ["alsó", "felső", "király", "ász"]
card = choice(cards)
... | aszabo25/python-training | random_samples.py | random_samples.py | py | 342 | python | en | code | 0 | github-code | 1 |
9670033772 | from ab5 import hgratient
from typing import Optional
import colorama
import sys
from pystyle import Center, Colorate, Colors, Write
import tls_client
import os
def setTitle(title: Optional[any] = None):
os.system("title "+title)
setTitle("BitBoost V2 | Server Booster")
def clear():
if sys.platform in ["linux... | BitStore-dev/BitBoost | BitBoost.py | BitBoost.py | py | 4,595 | python | en | code | 84 | github-code | 1 |
22239787685 | import numpy as np
import codecs
import sys
import logging
from nns import RecurrentNN
from utils import Timer
from dataproviders import TwitterApiDataProvider, TwitterTrainingDataProvider, DatasetBuilder
logging.basicConfig(stream=sys.stderr)
logger = logging.getLogger("root")
logger.setLevel(logging.DEBUG)
timer = T... | mishadev/stuff | tensorflow_tests/scripts/main.py | main.py | py | 2,247 | python | en | code | 0 | github-code | 1 |
4767963304 | class Variant:
def __init__(self, name: str, filename: str, rarity: float, shouldExcludeInDifference = False, layersToExclude: 'list[str]' = [] ):
"""
:param name: name of variant
:param filename: name of file with extension
:param rarity: rarirty from 0-1
"""
self.n... | kbhutani0001/generative-nft | Variant/__init__.py | __init__.py | py | 507 | python | en | code | 8 | github-code | 1 |
264626137 | from django.urls import path
from . import views
urlpatterns = [
path('school_list/', views.schList, name='schList'), #院校列表展示
path('edit_sch/', views.editSch, name='editSch'), #编辑院校信息
path('update_sch/', views.updateSch, name='updateSch'),
path('detail_sch/', views.detailSch, name='detailSch'),... | zhouf1234/django_obj | school/urls.py | urls.py | py | 2,415 | python | kn | code | 0 | github-code | 1 |
28558110791 | from django.http import HttpResponse
import json
from .models import MailingList, MailingListGroup
def listinfo(request):
resp = HttpResponse(content_type='application/json')
groupdata = [{
'id': g.id,
'name': g.groupname,
'sort': g.sortkey,
} for g in MailingListGroup.objects.al... | postgres/pgweb | pgweb/lists/views.py | views.py | py | 642 | python | en | code | 66 | github-code | 1 |
897774222 | from pwn import *
r=remote('172.16.7.10',9007)
elf=ELF('bin7')
read_addr=0x806e070
fakeret_addr=0x8048999
ROP1=''
ROP1+='lljjjllkklljjjjjjhhhjjjlllllll'
ROP1+='x'*0x2c
ROP1+=p32(read_addr)
ROP1+=p32(fakeret_addr)
ROP1+=p32(0)
ROP1+=p32(elf.bss())
ROP1+=p32(len(asm(shellcraft.sh())))
r.recvuntil('(h... | Cossack9989/SEC_LEARNING | PWN/2018BCTF/BCTF_Final2018_AI_binStack/bin7.py | bin7.py | py | 533 | python | en | code | 13 | github-code | 1 |
33810970716 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 17:19:35 2020
Class Message
- Access to elements of a message dict in ReDial
- Methods:
-
@author: nicholas
"""
import json
from nltk.tokenize import word_tokenize
from nltk.stem.porter import PorterStemmer
imp... | Vachonni/ReDial | Objects/Message.py | Message.py | py | 4,340 | python | en | code | 0 | github-code | 1 |
170088954 | # -*- coding: utf-8 -*-
'''
/**************************************************************************************************************************
SemiAutomaticClassificationPlugin
The Semi-Automatic Classification Plugin for QGIS allows for the supervised classification of remote sensing images,
provid... | jem0101/BigSwag-SQA2022-AUBURN | TestOrchestrator4ML-main/resources/Data/supervised/GITHUB_REPOS/semiautomaticgit@SemiAutomaticClassificationPlugin/maininterface/GOESTab.py | GOESTab.py | py | 11,658 | python | en | code | 2 | github-code | 1 |
9122061868 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
import argparse
import os
import datetime
from algorithms.kmeans import KMeans
from algorithms.kmeanspp import KPlusPlus
from algorithms.kmeansgraph import KMeansGraph
from algorithms.kmeans_sa import KMeans_SA
if __name__ == '__main__... | alepmaros/k-means | main.py | main.py | py | 6,439 | python | en | code | 0 | github-code | 1 |
40316461163 | from tkinter import *
import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
from tkinter import scrolledtext
import time, datetime
import threading
import logging
import soundfile as sf
import numpy as np
import os
window = Tk()
window.geometry('450x520')
window.title('INotepad.cloud - Phần mềm ... | truyentdm/Apps | MergeAudio/MergeAudio.py | MergeAudio.py | py | 4,725 | python | en | code | 1 | github-code | 1 |
16555099455 | from copy import deepcopy
from functools import reduce
import numpy as np
class Chromosome:
def crossover(self, other):
pass
def mutate(self, step=None):
pass
def evaluate(self):
pass
class FloatChromosome(Chromosome):
def __init__(self, ll, ul, degree, pm, b, crossover_fu... | hrkec/APR | Lab4/chromosome.py | chromosome.py | py | 2,957 | python | en | code | 0 | github-code | 1 |
73506504353 | from django.shortcuts import redirect, render
from django.http import HttpResponse
from apps.Habitacion.models import Habitacion
from apps.Habitacion.form import HabitacionForm
# Create your views here.
def home(request):
return render(request, 'base/base.html')
def index(request):
habitacion = Habit... | Daniel-Vega-Rojas/Actividad08_base | apps/Habitacion/views.py | views.py | py | 1,899 | python | es | code | 1 | github-code | 1 |
3243322415 |
# Residual Dense Network for Image Super-Resolution
# https://arxiv.org/abs/1802.08797
from functools import partial
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from model import common
from model.matrix import *
def make_model(args, parent=False):
return MetaRDN(args)... | miracleyoo/Meta-SSSR-Pytorch-Publish | model/metafrdn.py | metafrdn.py | py | 8,590 | python | en | code | 4 | github-code | 1 |
34660031378 | # -*- coding: utf-8 -*-
import logging
import os
import unittest
from linkml.generators.pythongen import PythonGenerator
from linkml_runtime import SchemaView
from linkml_owl.util.loader_wrapper import load_structured_file
from linkml_owl.dumpers.owl_dumper import OWLDumper
from funowl.converters.functional_converter ... | linkml/linkml-owl | tests/test_examples/test_rpg.py | test_rpg.py | py | 1,849 | python | en | code | 9 | github-code | 1 |
38833144048 | import random
import sys
import argparse
import numpy as np
import os
class subset_sum_data:
def __init__(self, file_name='./determ_data/mazes.npz',
max_length=8, range_min=3, range_max=10):
self.file_name = file_name
self.range_min = range_min
self.range_max = range_max
... | dadadaOrange/Combinatorial-Optimazation-Project | data_generation.py | data_generation.py | py | 3,338 | python | en | code | 0 | github-code | 1 |
28303693280 | # Write py4DSTEM formatted .h5 files.
#
# See filestructure.txt for a description of the file structure.
import h5py
import numpy as np
from collections import OrderedDict
from os.path import exists
from os import remove as rm
from .read_utils import is_py4DSTEM_file, get_py4DSTEM_topgroups
from .metadata import meta... | magnunor/py4DSTEM | py4DSTEM/io/native/write.py | write.py | py | 13,944 | python | en | code | null | github-code | 1 |
42865082927 | from flask import Flask, request, render_template
import numpy as np
import pandas as pd
#import xgboost as xgb
import joblib
model = joblib.load('xgb_model.sav')
app = Flask(__name__)
@app.route('/')
def home():
return render_template('home.html')
@app.route('/prediction', methods=[ 'POST'])
def prediction():
... | riyag25/Customer-Churn-Prediction | app.py | app.py | py | 2,912 | python | en | code | 0 | github-code | 1 |
11698126912 | from cgi import test
import torch
import dataset
import model
import numpy as np
import os
import argparse
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_name", default='PeMSD8', help='Dataset Name', type=str)
args = parser.pars... | gortwwh/GMTSCLR | pretrain_vae.py | pretrain_vae.py | py | 1,271 | python | en | code | 0 | github-code | 1 |
32196524176 | """
Screen scraper for NYC Landmarks Preservation Commission data, as found on
citylaw.org.
To replicate what this scraper does, go here:
http://www.nyls.edu/centers/harlan_scholar_centers/center_for_new_york_city_law/cityadmin_library/
Check the "LANDMARKS" checkbox, then enter "cofa" in the search keywords box
a... | brosner/everyblock_code | everyblock/everyblock/cities/nyc/landmarks/retrieval.py | retrieval.py | py | 6,333 | python | en | code | 130 | github-code | 1 |
18084590411 | import datetime,requests
import pickle
from pathlib import Path
import requests
import streamlit as st
from streamlit_lottie import st_lottie
import json
import ssl,os,urllib
import altair as alt
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
from io import BytesIO
# ... | williamc1998/ml-test | azuredash.py | azuredash.py | py | 4,844 | python | en | code | 0 | github-code | 1 |
37689030555 | from tax_calculator import TaxCalculator
from format_handler import CentRounder
class PayCalculator:
def __init__(self, hourly_rate: int, hours_worked: int, tfn: int, threshold_claimed: bool, residence: str):
self.gross_pay = self.__calculate_gross(hourly_rate, hours_worked)
self.tax_amount = self.... | paigegoldhagen/cedarwood-docs | src/pay_calculator.py | pay_calculator.py | py | 3,298 | python | en | code | 0 | github-code | 1 |
72387689634 |
from itertools import permutations
def solution(N, number):
answer = 0
# 0도 포함이기 때문
dp = [[] for _ in range(9)]
# 최소 개수는 자신 빼기 자신
dp[1] = [N]
dp[2] = [int(str(N)+str(N)),N+N,N-N,int(N/N),N*N]
print('')
for i in range(3,9):
for j in combi_list(i):
for k ... | cafe-jun/codingTest-Algo | N번째수_신준석.py | N번째수_신준석.py | py | 2,096 | python | ko | code | 0 | github-code | 1 |
23029378005 | def main():
positive_examples_path = "org_id.csv"
positive_examples = set()
with open(positive_examples_path, 'r') as file:
positive_examples = {line.strip() for line in file.readlines()}
lacA_examples_path = "lacA.csv"
lacY_examples_path = "lacY.csv"
lacZ_examples_path = "lacZ.csv"
... | alex-medvedev-msc/operons | negative_set.py | negative_set.py | py | 1,037 | python | en | code | 0 | github-code | 1 |
15767671976 | from pyspark import SparkConf, SparkContext
import collections
conf = SparkConf().setMaster("local").setAppName("RatingsHistogram")
sc = SparkContext(conf=conf)
lines = sc.textFile("file:///SparkCourse/ml-100k/u.data")
popular_movies = lines.map(lambda x: (int(x.split()[1]), 1)).reduceByKey(lambda x, y: x+y)
popular_... | TalhaAsmal/Taming-Big-Data-Pyspark-Udemy | popular-movies.py | popular-movies.py | py | 520 | python | en | code | 0 | github-code | 1 |
26573286125 | import torch
import torchvision
import numpy as np
from torchvision import datasets
import torchvision.transforms as transforms
from torch.utils.data.sampler import SubsetRandomSampler
import torch.optim as optim
import torchvision.models as models
from torchvision.utils import make_grid
import time
import copy
class ... | Constanter/Kaggle | ComputerVision/ImageClassification/FlowersRecognition/PytorchSolution/main.py | main.py | py | 7,551 | python | en | code | 0 | github-code | 1 |
71464292195 | import pandas as pd
import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objs as go
df = pd.read_csv('data/info_data_job_market_research.csv')
def graph_npuestos_ciudad(df):
df_ub_da = df[df['Tipo puesto'] == 'Data Analyst']
df_ub_da = df_ub_da['Ubicación'].copy()
d... | cespanac/ds_job_market_research | graphs.py | graphs.py | py | 8,698 | python | en | code | 2 | github-code | 1 |
71217212195 | import keyboard
import time
each_line = input("What to spam")
amount = int(input("How many times"))
print("you have 5 seconds to open whatever you want to spam")
time.sleep(5)
for i in range (1, amount):
keyboard.write(each_line)
keyboard.press('enter')
print("Done")
| GnomeyDev/PythonScripts | UniSpammer1.py | UniSpammer1.py | py | 296 | python | en | code | 0 | github-code | 1 |
74916500834 | import math
from trajectories.point import Point
from trajectories.trajectory import Trajectory
class Frechet:
def __init__(self, traj1, traj2):
self.P = traj1
self.Q = traj2
self.LF = dict()
self.LR = dict()
self.BF = dict()
self.BR = dict()
self.eps = []
... | donsheehy/geomcps | trajectories/frechet.py | frechet.py | py | 13,278 | python | en | code | 1 | github-code | 1 |
43621128939 | import glob
import os
import random
import shutil
dataset_name = 'flower_dataset'
dataset_name_after = 'flower_dataset_imagenet'
base_path = os.path.join('..', dataset_name)
divide_path = os.path.join('..', dataset_name_after)
train_percentage = 8 / (8 + 2)
val_percentage = 2 / (8 + 2)
# 将文件按照对应比例划分为训练集和测试集
def sh... | Brian417-cup/OpenMMLabCamp | flower/data_dealing/divide_train_and_val.py | divide_train_and_val.py | py | 2,292 | python | en | code | 1 | github-code | 1 |
71705104033 | #!/usr/bin/env python
import sys
import json
import logging
import pika
from os import environ
from artnet import dmx
from os.path import realpath, dirname, join
class ArtNetTransmitter(object):
FPS = 15
ARTNET_BROADCAST_IP = "2.255.255.255"
RABBIT_HOST = '192.168.0.42'
def __init__(self):
sel... | arbalet-project/frontage-artnet | transmitter.py | transmitter.py | py | 4,257 | python | en | code | 0 | github-code | 1 |
17540865999 | import torch
import scanpy as sc
import numpy as np
import pytorch_lightning as pl
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from torch_geometric.data import HeteroData, InMemoryDataset
from torch_geometric.loader import DataLoader
from data.helpers import downsample_adata, check_normalized
class ... | srdsam/TranscriptomicsGNN | data/CellGeneDataset.py | CellGeneDataset.py | py | 4,055 | python | en | code | 0 | github-code | 1 |
24618527866 | import os
import sys
import numpy as np
import pandas as pd
pd.options.display.float_format = "{:,.2f}".format
import logging
from datetime import datetime, timedelta
from features import quantize
# from __main__ import logger_name
logger_name = "simple_average"
log = logging.getLogger(logger_name)
class SimpleAv... | aleksei-mashlakov/parking-forecast | src/PMV4Cast/simple_average.py | simple_average.py | py | 2,470 | python | en | code | 1 | github-code | 1 |
20356849460 | from copy import deepcopy
from tqdm import tqdm
class Tokenizer:
"""
两种数据类型的映射的抽象类
"""
def tokenize_A2B(self,data):pass
def tokenize_B2A(self,data):pass
class DictTokenizer(Tokenizer):
def __init__(self,data2label):
"""
输入字典构建词典
如果是一对一的话构建反向词典
... | ReturnTR/PytorchModelCode | CommonTools/TorchTool.py | TorchTool.py | py | 2,338 | python | en | code | 0 | github-code | 1 |
2837694708 | #!/usr/bin/env python
from setuptools import setup, find_packages
version = __import__('pipetter').VERSION
setup(
name='Pipetter',
version='.'.join([str(v) for v in version]),
description='Uniform registration and processing of inclusion tags for information pulled from other sources, such as websites.',
pac... | melinath/django-pipetter | setup.py | setup.py | py | 430 | python | en | code | 16 | github-code | 1 |
10471860826 | from time import sleep
print('Carregando...')
i = 0
while i < 10:
print('{}...'.format(i+1))
i += 1
sleep(0.25)
print()
c = -1
Sum = 0
while i != 0:
i = int(input('Idade: '))
Sum += i
c += 1
med = Sum/c
print('\nMédia: {}'.format(med))
print('O último valor não é considerado\n') | pedroivoal/CursoEmVideo | Python/al.14.Estrutura de Repetição (while) (colorido)/00.txt.py | 00.txt.py | py | 311 | python | pt | code | 0 | github-code | 1 |
11507239217 | import numpy as np
from scipy import io
import matplotlib.pyplot as plt
import hio
import dynamic_support
import Error_Reduction
# 讀檔
filepath = 'D:\IP_20220311_25a\IP_20220311\patched_rawdata_20220311.mat'
patch_data = io.loadmat(filepath)
measured_intensity = (patch_data['sym_rawdata'])
measured_amp = np.sqrt(measure... | github-ywtsai/PyCDI | IP_HIOpack.py | IP_HIOpack.py | py | 4,836 | python | en | code | 0 | github-code | 1 |
18310305703 | #Trapping Rain Water
#Naive approach
def trappingWater(arr,n):
#Code here
res=0
for i in range(1,n-1):
left=arr[i]
for j in range(i):
left=max(left,arr[j])
right=arr[i]
for k in range(i+1,n):
right=max(right,arr[k])
res=res+(min(left,righ... | Kush999/DSA-sheet | arrays/Trapping_water.py | Trapping_water.py | py | 399 | python | en | code | 0 | github-code | 1 |
411212400 | # pylint: disable=W0621,C0114,C0116,W0212,W0613
import pathlib
import textwrap
import pytest
from dae.annotation.annotation_pipeline import AnnotatorInfo, AttributeInfo
from dae.annotation.annotation_factory import AnnotationConfigParser
from dae.genomic_resources import build_genomic_resource_repository
from dae.geno... | iossifovlab/gpf | dae/dae/annotation/tests/test_annotation_pipeline_config.py | test_annotation_pipeline_config.py | py | 13,205 | python | en | code | 1 | github-code | 1 |
10236991454 | from __future__ import division
import argparse
import logging
import os
import random
import time
import torch
import torch.nn as nn
import torch.optim as optim
from torch import FloatTensor
from torch.autograd import Variable, grad
from torch.utils.data import DataLoader
import torchvision.utils as vu... | CirQ/AnimeNet | main.py | main.py | py | 10,620 | python | en | code | 0 | github-code | 1 |
27592570260 | __author__ = 'Grishnak'
import libtcodpy as libtcod
from button import *
from check_box import *
from color_text import *
from dialog_box import *
from inventory import *
def get_centered_text(text, width):
head = text
s = len(head)
pos = width - s/2
return head, pos
class HotBar():
def __init__(s... | GrishdaFish/Ascension | utils/menus/hot_bar.py | hot_bar.py | py | 6,653 | python | en | code | 2 | github-code | 1 |
71009697633 | ########################################################################################################################
# Problem 22: Names Scores
########################################################################################################################
# Using names.txt (right click and 'Save Link/Targ... | jorisroovers/project_euler | problem22/solution.py | solution.py | py | 1,723 | python | en | code | 0 | github-code | 1 |
32509475909 | import VAPublishUtil as VAUtil
import EchoItemXML
import os
__author__ = 'Administrator'
def echo_all():
"""重新生成所有版本的配置文件"""
for xml_node in VAUtil.PUBLISH_CONFIG_DOC.findall("feature"):
branch_dir = xml_node.get("branchDir")
feature_dir = os.path.join(VAUtil.PRE_PUBLISH_ROOT_DIR, branch_dir... | jiaox99/publishTools | pythonScripts/ReEchoAllItem.py | ReEchoAllItem.py | py | 700 | python | zh | code | 3 | github-code | 1 |
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