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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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74491938593 | import gzip
import math
import os
import pickle
import numpy as np
from bage_utils.char_one_hot_vector import CharOneHotVector
from nlp4kor.config import log
class DataSet(object):
def __init__(self, features: np.ndarray = None, labels: np.ndarray = None, features_vector: CharOneHotVector = None,
... | bage79/nlp4kor | bage_utils/dataset.py | dataset.py | py | 6,987 | python | en | code | 50 | github-code | 1 |
39998858334 | import heppy.framework.config as cfg
from heppy.configuration import Collider
# select b quarks for jet to parton matching
def is_bquark(ptc):
'''returns True if the particle is an outgoing b quark,
see
http://home.thep.lu.se/~torbjorn/pythia81html/ParticleProperties.html
'''
return abs(ptc.pdgid()... | cbernet/heppy | heppy/test/btag_parametrized_cfg.py | btag_parametrized_cfg.py | py | 1,085 | python | en | code | 9 | github-code | 1 |
25375937714 | from Thornhill.celery import app
from thornhillsystem.email_system.email_sender import Sender
from thornhillsystem.models import Message
@app.task
def test(param):
return 'The test task executed with argument "%s" ' % param
@app.task
def send_email_task(from_email, to_mail, subject, message, attachment_path=Non... | mchalecki/Thornhill | Thornhill/thornhillsystem/tasks.py | tasks.py | py | 576 | python | en | code | 0 | github-code | 1 |
41897699827 | import smtplib
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
import traceback
import os
def build_content(sender, receiver, subject, body):
# 设置邮件正文，这里是支持HTML的
# 设置正文为符合邮件格式的HTML内容
m = MIMEText(_text=body, _subtype='h... | ChrisLi716/pythondemo | demo/email_01.py | email_01.py | py | 3,203 | python | en | code | 0 | github-code | 1 |
32990921522 | import socket
from threading import Thread
IP_ADDRESS = '127.0.0.1'
PORT = 8050
SERVER = None
BUFFER_SIZE = 4096
clients = {}
def acceptConnections():
global SERVER
global clients
while True:
client,addr = SERVER.accept()
print(addr)
def setup():
print('\t\t\t\t\t\t... | Seth-Joseph/PRO-C208 | server.py | server.py | py | 657 | python | en | code | 0 | github-code | 1 |
40823649994 | import torch
import torchvision
import torchvision.transforms as transforms
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import time
import torch.utils.model_zoo as model_zoo
import numpy as np
import torch.utils.data as data_utils
import math
from collections import OrderedDict
... | htcao/AI_project | train.py | train.py | py | 3,891 | python | en | code | 0 | github-code | 1 |
18746685398 | """
Service class includes functionalities for implementing program features
"""
from src.domain.entity import complexNumber
import random
#import sys
class complexNumbersList:
"""
Functionalities for the (list of) complex numbers
"""
def __init__(self):
"""
Creat... | pauladam2001/Sem1_FundamentalsOfProgramming | a5-pauladam2001/services/service.py | service.py | py | 8,335 | python | en | code | 0 | github-code | 1 |
27801967937 | import functools
from test_framework import generic_test
import math
MAPPING = {'A':1,'B':2,'C':3,'D':4,'E':5,'F':6,'G':7,'H':8,'I':9,'J':10,'K':11,'L':12,'M':13,'N':14,'O':15,
'P':16,'Q':17,'R':18,'S':19,'T':20,'U':21,'V':22,'W':23,'X':24,'Y':25,'Z':26}
MULTIPLIER = 26
def ss_decode_col_id(col):
if l... | garciamilord/Elements-of-Programming-Interviews | epi_judge_python_solutions/spreadsheet_encoding.py | spreadsheet_encoding.py | py | 895 | python | en | code | null | github-code | 1 |
33195845551 | # # # # # # # # # # # # # #
# CAPTAINHOOK IDENTIFIER #
# # # # # # # # # # # # # #
import os
import sys
from contextlib import contextmanager
from os.path import join
from .utils import filter_python_files, get_config_file
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
DEFAU... | alexcouper/captainhook | captainhook/checkers/flake8_checker.py | flake8_checker.py | py | 1,705 | python | en | code | 54 | github-code | 1 |
28040382633 | import queue
import sys
import datetime
import time
from scipy.stats import poisson
# event = Event(bus, eventData)
class Event(object):
def __init__( self, bus, eventData ):
self.bus=bus
self.timestamp = bus.timestamp
self.route = bus.route
self.eventType = eventData.eventType
... | glorianachen/simulation | event.py | event.py | py | 6,078 | python | en | code | 0 | github-code | 1 |
42321692074 | import warnings
from typing import Tuple
import geopandas as gpd
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
# Use codes as defined by the [codebook](https://www.mass.gov/files/documents/2016/08/wr/classificationcodebook.pdf)
USE_CODES = {
"101": "Single Family",
"102": "Condominium... | ahasha/milton_maps | milton_maps/milton_maps.py | milton_maps.py | py | 7,614 | python | en | code | 1 | github-code | 1 |
20897746681 | import pickle
import numpy as np
import tensorflow as tf
import os
def load_label_names(path):
# Load data
with open(path + "batches.meta", mode='rb') as file:
data = pickle.load(file, encoding='bytes')
# Load label names
label_names = data[b'label_names']
# Convert from binary strings
... | ztaal/Deep-learning-with-convolution-neural-networks-on-a-super-computer | cifar10_input.py | cifar10_input.py | py | 956 | python | en | code | 0 | github-code | 1 |
40785984696 | import pytest
from werkzeug.exceptions import NotFound, BadRequest
from app import api
from app.models import Camera
def test_get_query_string_params(application):
with application.test_request_context('/?foo=bar&life=42'):
assert api.get_query_string_params() == {'foo': 'bar', 'life': '42'}
... | percurnicus/opportunity | app/tests/test_api.py | test_api.py | py | 6,004 | python | en | code | 0 | github-code | 1 |
74623068192 | from utils.datasets import *
import cv2
# dataset = MDFA(base_dir='MDFA/')
dataset = SIRST(base_dir='sirst/')
for i in range(dataset.__len__()):
img, mask = dataset.__getitem__(i)
if img.shape == mask.shape:
continue
else:
print(i)
print(img.shape)
print(mask.shape)
... | Tianfang-Zhang/ISTD-python | data/__init__.py | __init__.py | py | 526 | python | en | code | 5 | github-code | 1 |
71778251555 | from limite.tela_coordenador import TelaCoordenador
from entidades.coordenador import Coordenador
from entidades.organizador import Organizador
from persistencia.coordenadordao import CoordenadorDAO
from persistencia.organizadordao import OrganizadorDAO
class ControladorCoordenador:
def __init__(self, con... | leminosso/projeto-aps | controlador_coordenador.py | controlador_coordenador.py | py | 1,970 | python | pt | code | 0 | github-code | 1 |
23481077423 | # Recode By @mrismanaziz
# FROM Man-Userbot <https://github.com/mrismanaziz/Man-Userbot>
# t.me/SharingUserbot & t.me/Lunatic0de
import importlib
import logging
import os
import sys
from pathlib import Path
from userbot import CMD_HELP, DEVS, LOGS, TEMP_DOWNLOAD_DIRECTORY, bot
from userbot.events import register
from... | rainbowgirlidx/Man_Userbot | userbot/modules/core.py | core.py | py | 3,876 | python | en | code | 0 | github-code | 1 |
7296684256 | import cv2
from cv2 import UMat
def crop_and_resize(frame:UMat,width:int,height:int)->UMat:
aspect=float(height)/float(width)
[original_height,original_width]=frame.shape[0:2]
original_aspect=float(original_height)/float(original_width)
if aspect < original_aspect:
# 高さが不要
temporary_height=int(original... | novogrammer/echo-of-art | echo_of_art/image_utils.py | image_utils.py | py | 758 | python | en | code | 0 | github-code | 1 |
29882430075 | from rest_framework.response import Response
from rest_framework import status, mixins, generics, viewsets
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework.exceptions import NotFound
from .models import Drop
from .renderers import DropJSONRenderer
from .serializers import DropSerial... | rmbrntt/deaddrop | deaddrop-api/deaddrop/apps/drops/views.py | views.py | py | 2,893 | python | en | code | 0 | github-code | 1 |
690977689 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('behavior_subjects', '0007_auto_20151119_1117'),
]
operations = [
migrations.AddField(
model_name='session',
... | c-wilson/behavior_monitor | behavior_subjects/migrations/0008_session_exh_inh_delay.py | 0008_session_exh_inh_delay.py | py | 460 | python | en | code | 0 | github-code | 1 |
13310547888 | import plotly.offline as py
import plotly.graph_objs as go
import sensor_input
import random
from pandas import Series
def plot_spectrum_from_files(name,files):
spectrums = []
for file in files:
spectrums.append(sensor_input.read_spectrum_from_file(file))
plot_spectrums(name,spectrums)
def plot_d... | zalum/tum-milk | sensor/sensor_output.py | sensor_output.py | py | 1,564 | python | en | code | 0 | github-code | 1 |
12771861930 | #!/usr/bin/python3
# runs VK modules in correct way
""" Developer and Author: Thomas Fire https://github.com/thomasfire (Telegram: @Thomas_Fire)
### Main manager: Uliy Bee
"""
from logging import exception
from os import getpid
import getmsg
import makeseq
import sendtovk
import updatemedia
def get_last_msg():
... | thomasfire/agent_smith | vk_run.py | vk_run.py | py | 1,972 | python | en | code | 1 | github-code | 1 |
11012367902 | from django.urls import path
from app1.views import *
urlpatterns = [
path('', inicio, name="Inicio"),
path('vuelo/', vuelo),
path('personal/', personal),
path('pasajero/', pasajero),
path('formulario1/', formulariovuelo, name="Crear Vuelos"),
path('formulario2/', formulariopersonal, name="Cr... | Luciano02-web/Entrega1-Bogarin | app1/urls.py | urls.py | py | 725 | python | es | code | 0 | github-code | 1 |
38904399549 | import pandas as pd
from silx.gui.qt import QMessageBox
from datetime import datetime
def save_csv(self):
filepath = self.imagepath
q_choice = self.q_combo.currentText()
loadedlist = self.loadedlistwidget
curvelist = [item.text() for item in loadedlist.selectedItems()]
curvenames = []
for curve... | IdanKes/SAXS | Main Code/saving_methods.py | saving_methods.py | py | 1,452 | python | en | code | 0 | github-code | 1 |
5337207653 | def test_add_group(app):
old_list = app.groups.get_group_list()
groups_from_excel = app.groups.\
get_groups_from_excel("C:\\Users\\AleksandrKoygerov\\PycharmProjects\\python-gui-tests\\groups.xlsx")
if len(groups_from_excel) == 0:
print("NO GROUPS LIST, CHECK EXCEL FILE")
assert Fals... | koyger/python-gui-tests | test/test_add_groups_from_excel.py | test_add_groups_from_excel.py | py | 541 | python | en | code | 0 | github-code | 1 |
6649268514 | import copy
import logging
from typing import Optional
import requests
from ocean_provider.utils.basics import get_web3
from ocean_provider.utils.consumable import ConsumableCodes
from ocean_provider.utils.credentials import AddressCredential
from ocean_provider.utils.data_nft import get_data_nft_contract
from ocean_p... | oceanprotocol/provider | ocean_provider/utils/asset.py | asset.py | py | 4,033 | python | en | code | 25 | github-code | 1 |
43495796464 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 7 17:53:40 2023
@author: mingjunsun
This code is an example of solving LASSO-like optimization problems.
"""
import cvxpy as cp
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
from sklearn import linear_model
#f... | Sho-Shoo/36490-F23-Group1 | example_code/code_example.py | code_example.py | py | 4,282 | python | en | code | 0 | github-code | 1 |
38827167045 | """
The RAD record format defines what a flat record should look like. It's
an unifying format that is used through out the application.
This record is passed around the different components of the application
to keep a consistent data format. Also it is a good model for other people
in the team looking for data. It g... | radremedy/radrecord | radrecord/rad_record.py | rad_record.py | py | 9,585 | python | en | code | 0 | github-code | 1 |
39273846847 | import os
import sys
import torch
import torch.utils.data as data
import numpy as np
from PIL import Image
import glob
import random
from torchvision import transforms
import matplotlib.pyplot as plt
import scipy.misc
class SALICON(data.Dataset):
def __init__(self, stimuli_train_path, stimuli_val_path, gt_train_... | pengqianli/ACNet | src/dataloader.py | dataloader.py | py | 1,863 | python | en | code | 3 | github-code | 1 |
11038920804 | import os
import boto3
import time
import copy
import subprocess
import threading
import multiprocessing
MAX_WORKERS = 1
SRC_ACCESS_KEY = os.environ['SRC_ACCESS_KEY']
SRC_SECRET_KEY = os.environ['SRC_SECRET_KEY']
SRC_REGION = os.environ['SRC_REGION']
DST_ACCESS_KEY = os.environ['DST_ACCESS_KEY']
DST_SECRET_KEY ... | quintilesims/d.ims.io | tools/migrate.py | migrate.py | py | 3,876 | python | en | code | 2 | github-code | 1 |
11163016053 | import copy
dr=[-1,1,0,0]
dc=[0,0,-1,1]
N,M = map(int,input().split())
pan=[]
for _ in range(N):
pan.append(list(map(int,input().split())))
zero_list=[]
virus_list=[]
visited=[[0]*M for _ in range(N)]
for r in range(N):
for c in range(M):
if pan[r][c]==0:
zero_list.append((r,c))
... | ahrtz/study | 코로나 기간 알고/백준연구소.py | 백준연구소.py | py | 1,532 | python | en | code | 0 | github-code | 1 |
16736609895 | import random as r
import math
import numpy as np
import tkinter as tk
import heapq
import itertools
import random
class Player:
polygons = []
n = None
def __init__(self, n, score=0):
self.n = n
self.polygons = []
self.score = 0
def add_pol(self, pol):
self.polygons.ap... | PaulWtlr/projet_info_2022 | DataType.py | DataType.py | py | 5,451 | python | en | code | 1 | github-code | 1 |
40239161316 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# external
import numpy as np
import matplotlib.pyplot as plt
import pandas
# local
from dtk import walk
obinna = pandas.read_csv('../data/obinna-walking.txt', delimiter='\t',
index_col="TimeStamp", na_values='0.000000')
# change the degrees to ... | csu-hmc/gait-control-direct-id-paper | src/control_solver_example.py | control_solver_example.py | py | 1,779 | python | en | code | 3 | github-code | 1 |
1091161094 | import cv2
print(cv2.__version__)
cam = cv2.VideoCapture(0)
while True:
output1, frame = cam.read()
greyFrame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
cv2.imshow("CameraWindow", greyFrame)
cv2.moveWindow("CameraWindow", 500,0)
if cv2.waitKey(1) & 0xff == ord("q"):
break
cam.release()
... | kseeger-code/AI_for_Everyone | openCV-1.py | openCV-1.py | py | 321 | python | en | code | 0 | github-code | 1 |
1586045599 | # -*- coding: utf-8 -*-
"""
*******************
tests.conftest
*******************
Utility functions that are used to configure Py.Test context.
"""
import os
import pytest
def pytest_addoption(parser):
"""Define options that the parser looks for in the command-line.
Pattern to use::
parser.addopt... | highcharts-for-python/highcharts-core | tests/conftest.py | conftest.py | py | 2,420 | python | en | code | 40 | github-code | 1 |
21310661684 | class Base:
def __init__(self, *specs, **kwargs):
for spec in specs:
try:
spec_dict = dict(spec)
self.digest(spec_dict)
except ValueError:
print(f'Element cannot be cast into dict, and is being discarded: {type(spec)} {spec}')
... | oaao/objgen | objgen/generators/generic.py | generic.py | py | 2,356 | python | en | code | 0 | github-code | 1 |
43128390785 | """
__author__: Jiaming Shen
__description__: extract entity pair document level co-occurrence features
Input: 1) the sentence.json
Output: 1) eidDocPairCounts.txt, 2) eidDocPairPPMI.txt
"""
import sys
import json
import itertools
import math
from collections import defaultdict
import mmap
from tqdm import tqdm... | mickeysjm/HiExpan | src/featureExtraction/extractEidDocPairFeature.py | extractEidDocPairFeature.py | py | 2,434 | python | en | code | 71 | github-code | 1 |
6255000766 | from python_graphql_client import GraphqlClient
import feedparser
import httpx
import json
import pathlib
import re
import os
import datetime
root = pathlib.Path(__file__).parent.resolve()
client = GraphqlClient(endpoint="https://api.github.com/graphql")
TOKEN = os.environ.get("GH_TOKEN", "")
def replace_chunk(con... | wintermorn1ng/wintermorn1ng | build_readme.py | build_readme.py | py | 2,078 | python | en | code | 0 | github-code | 1 |
73967433954 | import discogs_client
import config
import pandas as pd
#Connect using auth token
d = discogs_client.Client('discogsAnalytics', user_token=config.discogs_token)
me=d.identity()
collection_data = []
for album in me.collection_folders[1].releases:
formatlist = album.release.formats[0]
format_desc = formatlist[... | scottpmchugh/DiscogsAnalytics | extraction/discogsExtraction.py | discogsExtraction.py | py | 684 | python | en | code | 0 | github-code | 1 |
42568375826 | import os
import shutil
from typing import List
def main(source_dir: str, des_dir: str, ext: str):
files = list_file_with_ext(source_dir, ext)
for file in files:
shutil.copy(file, des_dir)
# List all music files with path. Get file type by extension name.
def list_file_with_ext(file_path: str, ext_l... | zhiwenliang/scripts | file/colect_files_from_folder.py | colect_files_from_folder.py | py | 747 | python | en | code | 0 | github-code | 1 |
21725750288 | #your code needs the ability to take different actions
#based on different conditions
price = float(input('enter the price: '))
if price >= 1.00:
tax = .07
print(tax)
else:
tax = 0
print(tax)
# > greater
# < less
# >= greater than or EQUAL
# <= less than or equal
# == is equal to
#... | udaymannepalli/Python_scripts_for_beginners | condition.py | condition.py | py | 337 | python | en | code | 0 | github-code | 1 |
3176992392 | import tweepy
from app.models.twitter import auth
from app.models.twitter import utils
def get_friends(username):
api = auth.get_api()
return api.friends(screen_name=username, include_user_entities='false',
skip_status='true')
def screen_names_of_friends(username):
friends = get_... | amtsh/vdeos.me | app/models/twitter/Twitter.py | Twitter.py | py | 883 | python | en | code | 0 | github-code | 1 |
37670160302 | ## Top 5 restaurant types
from pymongo import MongoClient
def get_node(db):
return list(db.OSMLagny.aggregate([{"$match":{"amenity":{"$exists":1}, "amenity":"restaurant"}},
{"$group":{"_id":"$cuisine", "count":{"$sum":1}}},{"$sort":{"count":-1}}, {"$limit":5}]))
def get_db():
client = MongoC... | narquie/Data-Wrangling-Nanodegree | Python Scripts Queries/Top 5 Restaurants.py | Top 5 Restaurants.py | py | 461 | python | en | code | 0 | github-code | 1 |
26401013242 | piada = input()
piadas_boas = 0
piadas_ruins = 0
bom = True
ruim = True
mediano = True
while (piada != 'Fim do Show!'):
reacao = input()
piada = input()
if (reacao == 'BAZINGA!'):
piadas_boas += 1
elif (reacao != 'BAZINGA!'):
piadas_ruins += 1
if ((piadas_boas/(piadas_boas + piadas_... | amandaarruda/introduction-to-programming | lista-big-bang-theory/bazinga.py | bazinga.py | py | 791 | python | pt | code | 0 | github-code | 1 |
70072116194 | def main():
gsn = 9445
powerGrid = createPowerGrid(gsn)
maxPower = 0
coords = []
for l in range(1,30): # Part1: l = 3
print(l)
for r in range(len(powerGrid) - l):
row = powerGrid[r]
for c in range(len(row) - l):
squareSum = 0
for i in range(l):
for j in range(l):... | FredrikLastow/advent-of-code | 2018/day11/main.py | main.py | py | 915 | python | en | code | 0 | github-code | 1 |
8272993033 | # MAGIC CODEFORCES PYTHON FAST IO
import atexit
import io
import sys
_INPUT_LINES = sys.stdin.read().splitlines()
input = iter(_INPUT_LINES).__next__
_OUTPUT_BUFFER = io.StringIO()
sys.stdout = _OUTPUT_BUFFER
@atexit.register
def write():
sys.__stdout__.write(_OUTPUT_BUFFER.getvalue())
# END OF MAGIC CODEFORCES P... | elsantodel90/cses-problemset | stick_divisions.py | stick_divisions.py | py | 852 | python | en | code | 0 | github-code | 1 |
70337480994 | #!/bin/python3
import sys
# x1 + v1 * t = x2 + v2 * t
# x1 - x2 = ( v2 - v1 ) * t
# (x1 - x2) / ( v2 - v1 ) = t
def kangaroo(x1, v1, x2, v2):
if v1 == v2:
if x1 == x2:
return 'YES';
else:
return 'NO';
t = (x1 - x2) / ( v2 - v1 )
if t < 0:
return 'NO... | exsky/hackerrank | Algorithms/implementation/kangaroo.py | kangaroo.py | py | 532 | python | pt | code | 1 | github-code | 1 |
14467272098 | """
Dimensionality Reduction using Dense_AutoEncoder
input:data in shape (784,n), Dimension
output:data in shape (Dimension,n)
"""
from keras.layers import *
from keras.models import Model
def dense_AE(data,dim):
x_train = data / 255
x_train = x_train.reshape((x_train.shape[0], -1))
encoding_dim = dim
... | Mateguo1/KMNIST | cluster/Dense_AutoEncoder.py | Dense_AutoEncoder.py | py | 1,300 | python | en | code | 0 | github-code | 1 |
5719940935 | # correlation between googleTrendsCovidValue and cdcValue in path
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.stats import ttest_ind
path = "./data/cdcAnxiety_googleCovid_COMBINED.csv"
missingPath = "./data/cdcAnxiety_googleCovid_COMBINED_withMissing.csv"
cdcOGPath = "./data/cdc/c... | Xyloidzzz/covid-depression-social | Correlations/cdc_google_correlation.py | cdc_google_correlation.py | py | 3,257 | python | en | code | 0 | github-code | 1 |
25730146075 | import shutil
import gradio as gr
import time
import yaml
import openai
import os
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import Chroma
from prepare_vectordb import PrepareVectorDB
from typing import List, Tuple
import re
import ast
import html
from cfg import l... | Farzad-R/LLM-playground | RAG-GPT/gradio_app_utils.py | gradio_app_utils.py | py | 10,047 | python | en | code | 0 | github-code | 1 |
10048371514 | """
Minimum Swaps to Arrange a Binary Grid
Given an n x n binary grid, in one step you can choose two adjacent rows of the grid and swap them.
A grid is said to be valid if all the cells above the main diagonal are zeros.
Return the minimum number of steps needed to make the grid valid, or -1 if the grid cannot be vali... | okaysidd/Interview_material | Extras/Minimum Swaps to Arrange a Binary Grid.py | Minimum Swaps to Arrange a Binary Grid.py | py | 1,652 | python | en | code | 0 | github-code | 1 |
72538152994 | import tkinter as tk
class ScreenCapture:
def __init__(self, root):
print("Starting screenshot process ...")
self._root = root
self._root.attributes('-fullscreen', True)
self._root.attributes('-topmost', True)
self._root.attributes('-alpha', 0.1)
self._canvas = tk... | LeFi8/img-text-search | src/screen_capture.py | screen_capture.py | py | 2,463 | python | en | code | 0 | github-code | 1 |
75143000674 | import os
import imageio.v3 as iio
import imageio
import torch
import argparse
import torchvision
import matplotlib.pyplot as plt
import numpy as np
from torchvision import datasets, transforms
from torchvision.transforms.functional import hflip, vflip
from utils import initialize_equi_model, set_seed
device = torch.... | basusourya/lambda_equitune | EquiClassification/feature_visualization.py | feature_visualization.py | py | 5,072 | python | en | code | 5 | github-code | 1 |
9925796207 | import json
import logging
from typing import Optional
from ph4_walkingpad.profile import Profile, calories_walk2_minute, calories_rmrcb_minute
from ph4_walkingpad.reader import reverse_file
logger = logging.getLogger(__name__)
class StatsAnalysis:
def __init__(self, profile=None, profile_file=None, stats_file=... | ph4r05/ph4-walkingpad | ph4_walkingpad/analysis.py | analysis.py | py | 6,736 | python | en | code | 47 | github-code | 1 |
29860315580 | import collections
def get_matrix(path_to_file="input.txt"):
matrix_str = ""
with open(path_to_file,"r") as file:
count = file.readline()
matrix_str = file.read()
matrix = []
lines = matrix_str.split("\n")
for line in lines:
elements = line.split(" ")
... | KeiserKholod/Cycles_BFS_Python | KA1.py | KA1.py | py | 3,093 | python | ru | code | 0 | github-code | 1 |
71222805155 | # coding=utf-8
from functools import reduce
num = [1, 2, 3]
nums = [num for i in range(3)]
def all_aa(nums):
mfunc = lambda x, y: ["%s%s" % (i, j) for i in x for j in y]
# reduce(mfunc, nums)
# result1 = mfunc(nums[0], nums[1])
# result2 = mfunc(result1, nums[2])
dataresult = reduce(mfunc, nums... | FYPYTHON/PathOfStudy | Algorithm/python_reduce.py | python_reduce.py | py | 1,157 | python | en | code | 0 | github-code | 1 |
3322408496 | from difflib import Differ
import re
def get_index_positions(list_of_elems, element):
# To find the '^' positions in the 'differ' command
''' Returns the indexes of all occurrences of give element in
the list- listOfElements '''
index_pos_list = []
index_pos = 0
while True:
try:
... | Petit-Benjamin/VulnerabilityInjectionNLP | PythonScripts/confuzzion/set_seed_var_value_in_mutant.py | set_seed_var_value_in_mutant.py | py | 5,033 | python | en | code | 1 | github-code | 1 |
71773984674 | from tkinter import *
root=Tk()
miFrame=Frame(root, width=700, height=600)
miFrame.pack()
#miLabel=Label(miFrame,text="Hoy es 18 de junio de 2021")
#miLabel.place(x=120, y=125) #si pongo pack() el Frame se adapta al tamaño del Label, no ocupa nada más.
#le estoy indicando que el texto se desplace a esas distancias x... | dvidals/python | TrabajoConLabelTkinter.py | TrabajoConLabelTkinter.py | py | 547 | python | es | code | 0 | github-code | 1 |
36250456309 | #bfs1 단지번호 붙이기
from collections import deque
n = int(input())
maps = []
for _ in range(n):
tmp = [int(i) for i in input()]
maps.append(tmp)
def bfs(coord,maps,visited):
dirs = [(1,0),(-1,0),(0,1),(0,-1)]
queue = deque()
queue.append((coord))
count = 0
while queue:
y,x = queue.poplef... | Choisiz/coding-test-Team | 김수빈/BFS/단지번호붙이기.py | 단지번호붙이기.py | py | 1,293 | python | en | code | 0 | github-code | 1 |
31369997290 | import sys
import unittest
sys.path.append("pig")
from unittest.mock import patch
from pig.computer_player import ComputerPlayer
from io import StringIO
class TestComputerPlayer(unittest.TestCase):
def test_take_turn_easy(self):
# Test that an easy computer player correctly holds their turn
player... | sams258/Dice-game-Pig- | test/test_computer_player.py | test_computer_player.py | py | 3,248 | python | en | code | 2 | github-code | 1 |
25626976499 | from django import forms
from .models import ContinuingEducationLog, UserProfile
from django.contrib.auth.models import User
class CELogForm(forms.ModelForm):
class Meta:
model = ContinuingEducationLog
fields = ('required_CE', 'oversight_entity', 'repeat', 'hours', 'date_completed', 'top_items_learned',)
class ... | lydia-rodriguez/compliance | compliance/forms.py | forms.py | py | 1,024 | python | en | code | 0 | github-code | 1 |
15725734700 | from os import listdir, path
from time import clock
from pickle import dumps, loads
from gzip import compress, decompress
from random import shuffle
from sklearn.feature_selection import SelectKBest
import logging
class Vectors(object):
def __init__(self, corpos_folder_path, corpora_label_dict, debugging_output_f... | Orenef11/NLP-Lab | Vectors.py | Vectors.py | py | 11,821 | python | en | code | 0 | github-code | 1 |
73691830112 | import glob, configparser, os
old = "1.0.0.127.in-addr.arpa"
new = "example.com"
def fix(x):
print(x)
f = open(x)
fcon = f.read()
f.close()
fcon = fcon.replace("email." + old, "email." + new)
fcon = fcon.replace(old, new)
f = open(x, "w")
f.write(fcon)
f.close()
def main():
files = glob.glob("**/*", re... | EncryptedKitten/Minecraft_Server_Emulator | replace_domain.py | replace_domain.py | py | 448 | python | en | code | 31 | github-code | 1 |
25378129987 | import psycopg2
from opentelemetry.instrumentation import dbapi
from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
from opentelemetry.instrumentation.psycopg2.version import __version__
from opentelemetry.trace import get_tracer
class Psycopg2Instrumentor(BaseInstrumentor):
_CONNECTION_ATTRI... | NathanielRN/clone-opentelemetry-python | instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py | __init__.py | py | 2,023 | python | en | code | 0 | github-code | 1 |
71377845154 | #!/usr/bin/env python
"""
Basic tests
"""
import unittest
import time
import numpy as np
import pygimli as pg
import pygimli.meshtools as mt
run_solve = True
class ModellingMT(pg.core.ModellingBase):
def __init__(self, nPars, verbose):
""" """
pg.core.ModellingBase.__init__(self, verbose)
... | gimli-org/gimli | pygimli/testing/test_FOP.py | test_FOP.py | py | 3,103 | python | en | code | 312 | github-code | 1 |
30267108046 | #!/usr/bin/env python
# -*- encoding:UTF-8 -*-
import doctest
from typing import Generator, MutableSequence
from common import CT
def rank(mseq: MutableSequence[CT], k: CT) -> CT:
"""Return the `k` rank element of `seq`
Args:
seq (MutableSequence[CT]): input sequence
k (CT): element index
... | ChangeMyUsername/algorithms-sedgewick-python | chapter_2/module_2_5.py | module_2_5.py | py | 6,830 | python | en | code | 272 | github-code | 1 |
36343046109 | # -*- coding: utf-8 -*-
# 有时候人们会用重复写一些字母来表示额外的感受，比如 "hello" -> "heeellooo", "hi" -> "hiii"。我们将相邻字母都相同的一串字符定义为相同字母组，例如："h", "eee", "ll", "ooo"。
#
# 对于一个给定的字符串 S ，如果另一个单词能够通过将一些字母组扩张从而使其和 S 相同，我们将这个单词定义为可扩张的（stretchy）。
# 扩张操作定义如下：选择一个字母组（包含字母c），然后往其中添加相同的字母c使其长度达到 3 或以上。
#
# 例如，以"hello" 为例，我们可以对字母组"o" 扩张得到 "hellooo"，但是无法... | Liabaer/Test | learn_algorithm/leetcode/expressive_words.py | expressive_words.py | py | 2,483 | python | zh | code | 0 | github-code | 1 |
2931427678 | import email
from typing import Any, List
from fastapi import APIRouter, Body, Depends, HTTPException
from fastapi.encoders import jsonable_encoder
from pydantic.networks import EmailStr
from app import crud, models
from app.models.user import *
from app.api import deps
from app.core.config import settings
from app.u... | VittorioYan/full-stack-fastapi-mongodb | {{cookiecutter.project_slug}}/backend/app/app/api/api_v1/endpoints/users.py | users.py | py | 4,083 | python | en | code | 0 | github-code | 1 |
6912557640 | #!/usr/bin/env python3
"""
Benchmark on calling C methods for FASTCALL.
http://bugs.python.org/issue29263
Created at 2017-01-14 by INADA Naoki.
"""
import pyperf
runner = pyperf.Runner()
runner.timeit('b"".decode()',
"empty_bytes.decode()",
setup="empty_bytes = b''",
duplic... | vstinner/pymicrobench | bench_fastcall_c_method.py | bench_fastcall_c_method.py | py | 611 | python | en | code | 4 | github-code | 1 |
30211562412 | from concurrent.futures.thread import ThreadPoolExecutor
from contextlib import asynccontextmanager
import asyncio
class AsyncFile:
def __init__(self, file, loop=None, executor=None):
if not loop:
loop = asyncio.get_running_loop()
if not executor:
executor = ThreadPoolExecu... | Smile-Cats/asyncio-demo | my_asyncio_demo/编写异步上下文管理器.py | 编写异步上下文管理器.py | py | 1,765 | python | en | code | 0 | github-code | 1 |
2033204475 | import gzip
from keybert import KeyBERT
from yake import KeywordExtractor
import re
import setup_dir
NWORDS=100
FMT="{}\t{}\t{}\t{}\t{}\n"
cleans={ #important give all in lowercase!!!
r"international\s+water\s+management\s+institute": "iwmi",
r"sunil\s+mawatha": "",
r"the\s+consultative\s+group\s+on\s+international\... | asselapathirana/waybackcrawler | src/process_keywords.py | process_keywords.py | py | 2,190 | python | en | code | 0 | github-code | 1 |
32770379108 | import random
import subprocess
def make_example():
n = random.randint(1, 10)
cur_leaves = []
gas = []
edges = []
for i in range(n):
gas.append(random.randint(1, 10))
cur_leaves.append(1)
for i in range(2, n + 1):
from_v = random.choice(list(cur_leaves))
to_v = i
... | vladshablinsky/algo | 1084/test.py | test.py | py | 1,402 | python | en | code | 1 | github-code | 1 |
12943532357 | import timeit
import matplotlib.pyplot as plt
def algoritm1(item):
uniq_dict = {}
for x in item:
if x in uniq_dict:
return False
uniq_dict[x] = True
return True
def algoritm2(item):
uniq_lst = []
for x in item:
if x in uniq_lst:
return False
... | Polinaaa567/university_ipynb | 5_term/Alg/lab1_begin/2.2.py | 2.2.py | py | 817 | python | en | code | 0 | github-code | 1 |
3281837914 | # -*- coding: utf-8 -*-
# import accounts
from raven.contrib.flask import Sentry
from flask import Flask, request, redirect, abort
import ses
import urlparse
# from util import jsonify
app = Flask(__name__)
sentry = Sentry()
sentry.init_app(app)
@app.route('/')
def hello():
return 'Hello World!\n'
@app.route('... | Unholster/unholster-forms | web.py | web.py | py | 2,366 | python | en | code | 0 | github-code | 1 |
37022607442 | import matplotlib
matplotlib.use('Agg')
import time
import argparse
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
import gc
# Models Packages
from sklearn import metrics
from sklearn.metrics import mean_squared_error
from sklearn import feature_se... | vuhoangminh/Kaggle-Avito | codes/train_tune_params.py | train_tune_params.py | py | 10,360 | python | en | code | 0 | github-code | 1 |
18075673144 | import numpy as np
import pandas as pd
from scipy.interpolate import make_interp_spline, BSpline
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.switch_backend('agg')
mpl.rcParams['svg.hashsalt'] = 42
np.random.seed(42)
#print (plt.style.available)
#https://matplotlib.org/3.1.1/gallery/style_sheets/style_... | adithya8/ContextualEmbeddingDR | nvskplotter.py | nvskplotter.py | py | 7,467 | python | en | code | 3 | github-code | 1 |
70010352033 | import time
def is_ceiling(a, a0, sub):
num_coef = len(a)
# condition i
s = sum(a[t] for t in sub)
if s > a0:
return False
# condition ii
for t in range(num_coef):
if t not in sub and s + a[t] < a0 + 1:
return False
# condition iii
for t in range(num_coef):
... | Lyxn/or-model | util/reduce.py | reduce.py | py | 3,334 | python | en | code | 0 | github-code | 1 |
41880736603 | from django.conf import settings
from django.conf.urls.static import static
from django.urls import path
from django.contrib.auth.views import LoginView, LogoutView
from users.views import home, register, profileDetials, question1, question2, question3, compatibility, editProfile
urlpatterns = [
path('', home, na... | NethraGunti/ProfileCompatibility | users/urls.py | urls.py | py | 1,015 | python | en | code | 0 | github-code | 1 |
33697293829 | import numpy as np
# Задаем начальное значение границ
LOWER_PREDICTED_NUMBER = 1
UPPER_PREDICTED_NUMBER = 100
# Функция возвращает случайные значения в пределах нижней и верхней границы
def do_predict(lower_boundary, upper_boundary):
return (np.random.randint(lower_boundary, upper_boundary + 1))
def game_core_v5... | 199019681967/skillfactory-project-1-malik | module_0/Module.0.Malik.py | Module.0.Malik.py | py | 1,497 | python | en | code | 0 | github-code | 1 |
30199637561 | # In python we can do for else
nums = [33,7,67,86,3,9]
# for i in nums:
# if i % 5 ==0:
# print(i)
# break
# else:
# print("not found")
# Here we will get not found 5 times, we want it only once so we write else for for not if
for i in nums:
if i % 5 == 0:
print(i)
... | salonikalsekar/Python | for_else.py | for_else.py | py | 358 | python | en | code | 0 | github-code | 1 |
4213543541 | """berrybeef.beef: provides entry point main()."""
import sys
from PyQt5.QtWidgets import QApplication
from .Info import Info
from BERRYBEEF.Main import MainWindow
from BERRYBEEF.constants import *
def main():
try:
app = QApplication(sys.argv)
screen = app.primaryScreen()
print('Scre... | ferlete/BerryBeef | BERRYBEEF/berrybeef.py | berrybeef.py | py | 849 | python | en | code | 0 | github-code | 1 |
74718431073 | import requests
from PIL import Image
from bs4 import BeautifulSoup
import os
import xlwt
import re
def get_captcha(si_code):
captcha_url = "http://my.ujs.edu.cn/" + si_code
print(captcha_url)
r = session.get(captcha_url, headers=header)
with open("captcha.jpg","wb") as f:
f.write(r.content)
... | beenlyons/Allspder | PySpider/ujsScore/get_score.py | get_score.py | py | 1,871 | python | en | code | 0 | github-code | 1 |
19547549511 | import datetime
import subprocess
log_file = open("logs.log", "a")
def log(message: str) -> None:
text = str(datetime.datetime.now()) + ": " + message + "\n"
print(text, end="")
log_file.write(text)
log("Checking to see if package 'MariaDB' is installed...")
check_stat_proc = subprocess.run(["dpkg", "-s"... | anay-p/mysql-for-termux | installer.py | installer.py | py | 2,407 | python | en | code | 36 | github-code | 1 |
45645200524 | from django.http import JsonResponse
from django.shortcuts import redirect, get_object_or_404
from django.views import View
from django.views.decorators.csrf import csrf_exempt
from vigil.models import AlertChannel, Alert
from celery import uuid, signature
from vigil import tasks
from vigil.models import VigilTaskRes... | inuitwallet/vigil | vigil/views/api_views.py | api_views.py | py | 2,058 | python | en | code | 0 | github-code | 1 |
31509600396 | from django import forms
from .models import General, HotWorks, ElectricalWorks
form_styles = {'contractor': forms.TextInput(attrs={'class': 'textinputfield'}),
'contractor_name': forms.TextInput(attrs={'class': 'textinputfield'}),
'facility': forms.TextInput(attrs={'class': 'textinputfi... | Megaprotas/work_project | permits/forms.py | forms.py | py | 3,621 | python | en | code | 0 | github-code | 1 |
42631122942 | from tkinter.filedialog import askopenfilename, asksaveasfile
import numpy as np
import matplotlib.pyplot as plt
class Calibration:
def __init__(self, defaultPath="calibration_files/kalib.txt", plot=None):
self.filepath = defaultPath
self.nm = []
self.pixels = []
self.model = None
... | TIS2022-FMFI/spektroskop-mikroskop | gui_widgets/Calibration.py | Calibration.py | py | 5,407 | python | en | code | 0 | github-code | 1 |
5796985227 | import torch
import torchvision
from torch import nn
import os
class autoencoder(nn.Module):
def __init__(self, n_channel=1, n_class=36):
super(autoencoder, self).__init__()
self.encoder = nn.Sequential(
nn.Conv2d(n_channel, 32, 5, stride=3, padding=2), # b, 16, 10, 10
nn.R... | purelyvivid/captcha5 | model.py | model.py | py | 1,442 | python | en | code | 0 | github-code | 1 |
22525702483 | import collections
import glob
import logging
import os
from typing import List
import torch
from torch import nn
from torch.optim.lr_scheduler import LambdaLR
from torch.serialization import default_restore_location
logger = logging.getLogger()
CheckpointState = collections.namedtuple(
"CheckpointState",
[
... | microsoft/LMOps | uprise/DPR/dpr/utils/model_utils.py | model_utils.py | py | 4,819 | python | en | code | 2,623 | github-code | 1 |
10990266944 | from torch import nn
from towhee.models.vis4mer.transposelinear import TransposedLinear
from towhee.models.vis4mer.activation import Activation
from towhee.models.vis4mer.get_initializer import get_initializer
def LinearActivation(
d_input,
d_output,
bias=True,
zero_bias_init=False,
... | towhee-io/towhee | towhee/models/vis4mer/linearactivation.py | linearactivation.py | py | 1,645 | python | en | code | 2,843 | github-code | 1 |
10603942515 | from django.shortcuts import render, redirect
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import login, logout
from django.contrib.auth.decorators import login_required
def signup(request):
'''signup function'''
if re... | nopalpite/OCP9 | LITReview/accounts/views.py | views.py | py | 1,175 | python | en | code | 0 | github-code | 1 |
29558607777 |
from pathlib import Path
from . import data
from . import plot
from . import excel
from . import config
from . import latex
import subprocess
class Document:
def __init__(self, prefix, title, subtitle, author, date):
self.prefix = prefix
self.title = title
self.subtitle = subtitle
... | HerveFrezza-Buet/bilan | pybilan/pybilan/report.py | report.py | py | 3,261 | python | en | code | 0 | github-code | 1 |
870075297 | '''
In our first example we want to show how to read data from a file.
The way of telling Python that we want to read from a file is to use
the open function. The first parameter is the name of the file we want
to read and with the second parameter, assigned to the value "r", we
state that we want to read from the... | aarontinn13/Winter-Quarter-History | Tutorial/readingwriting,io4.py | readingwriting,io4.py | py | 3,335 | python | en | code | 0 | github-code | 1 |
74262849954 | from app.models import Booking,db,SCHEMA,environment
from sqlalchemy.sql import text
from datetime import datetime
from faker import Faker
fake = Faker()
def seed_bookings():
booking1 = Booking(
class_id=1,
user_id=3,
time_start=datetime(2023,7,6, hour = 9,minute = 30),
time_end= ... | xuantien93/IronReligion | app/seeds/bookings.py | bookings.py | py | 1,731 | python | en | code | 0 | github-code | 1 |
29928571724 |
import networkx as nx
import numpy as np
import torch
from datanetAPI import DatanetAPI
POLICIES = np.array(['WFQ', 'SP', 'DRR'])
def sample_to_dependency_graph(sample):
G = nx.DiGraph(sample.get_topology_object())
R = sample.get_routing_matrix()
T = sample.get_traffic_matrix()
P = sample.get_perf... | Mengxue12/RouteNet-E_pytorch | scheduling/read_dataset.py | read_dataset.py | py | 8,871 | python | en | code | 2 | github-code | 1 |
40793798969 | import uuid
import speech_recognition as sr
r = sr.Recognizer()
language='ru_RU'
def recognise(filename):
with sr.AudioFile(filename) as source:
audio_text = r.listen(source)
try:
text = r.recognize_google(audio_text,language=language)
print(text)
return text
... | setta1a/bot_god | first/botTelegram/for stt/stt.py | stt.py | py | 1,251 | python | en | code | 5 | github-code | 1 |
44709118271 | class Solution:
def isCousins(self, root: TreeNode, x: int, y: int) -> bool:
# 如果根节点为空，或者x值为根节点，或者y值为根节点，这些都为false
if (root is None or x == root.val or y == root.val): return False
parent = {}
depth = {}
# 获取到深度和父节点 字典
def dfs(node, par=None):
if... | Mszmy/leetcode | 993. 二叉树的堂兄弟节点-python.py | 993. 二叉树的堂兄弟节点-python.py | py | 742 | python | zh | code | 0 | github-code | 1 |
5299224856 | # -*- coding: utf-8 -*-
import torch as t
import sys
sys.path.append("../")
from models import HRcanNet
import cv2
import numpy as np
import h_psnr
import os
import time
class CIR:
def __init__(self, weights_file="../weights/dejpeg_HRcanNet2_1_33_best.pth"):
self._device = 'cuda'
# self._net = HS... | riverlight/HSR | scripts/ir_video.py | ir_video.py | py | 2,697 | python | en | code | 1 | github-code | 1 |
30297889715 | """ Module to analyze vessel pulsatility during the heart cycle in ecg-gated CT
radius change - area change - volume change
Authors: Almar Klein and Maaike Koenrades. Created 2019.
"""
import os
import sys
import time
import openpyxl
import pirt
import numpy as np
import visvis as vv
from stentseg.util... | almarklein/stentseg | lspeas/analysis/vessel_dynamics.py | vessel_dynamics.py | py | 24,229 | python | en | code | 3 | github-code | 1 |
11003028307 | import collections
import heapq
class Solution:
def leastInterval(self, tasks: List[str], n: int) -> int:
lookup = {}
for item in tasks:
lookup[item] = lookup.get(item, 0) + 1
hold = []
for value in lookup.values():
heapq.heappush(hold, -value)
time =... | peaqi/mock | Python/621. Task Scheduler/heap, queue.py | heap, queue.py | py | 725 | python | en | code | 0 | github-code | 1 |
4561858275 | #DAVID GARCIA
# DO NOT FORGET TO ADD COMMENTS!!!
#3/3/23
#FIX: RENAMED "calculator.py" to "Calculator.py" to accomodate the def "calculator" in "calculatorGUI.py"
from stack import Stack
from tree import ExpTree
def infix_to_postfix(infix):
opStack = Stack()
prio = {'*':3,'/':3,'-':2,'+':2,'(':1} #prior... | david04g/python-calculator | Calculator.py | Calculator.py | py | 1,653 | python | en | code | 0 | github-code | 1 |
8967287236 | # The data set used in this example is from http://archive.ics.uci.edu/ml/datasets/Wine+Quality
# P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
# Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
"""
CREATE LOCAL mlruns
"""... | shippedbrain/shipped-brain-api | tests/resources/train.py | train.py | py | 6,467 | python | en | code | 2 | github-code | 1 |
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