seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
40779260735 | import magic
import collections
from pprint import pprint
class cbmagic(magic.Magic):
def __init__(self):
magic.Magic.__init__(self)
self.file_types=collections.OrderedDict()
self.file_types['JPEG'] = 'jpg'
self.file_types['PNG'] = 'png'
self.file_types['PDF'] = 'pdf'
de... | commerceblock/cb_idcheck | cb_idcheck/cbmagic.py | cbmagic.py | py | 902 | python | en | code | 1 | github-code | 50 |
13156721245 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" This script cleans up the
workspace after a
full synthese (vasy,
boom, boog, loon) run.
"""
__author__ = "Siegfried Kienzle"
__license__ = "MIT"
__version__ = "1.0.0"
__maintainer__ = "Siegfried Kienzle"
__email__ = "siegfried.kienzle@gmx.de"
import os
im... | sikienzl/FPGA_Alliance_Scripts | wrapper_synthese/cleanup.py | cleanup.py | py | 1,927 | python | en | code | 0 | github-code | 50 |
18781204661 | if '__file__' in globals():
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
import unittest
import numpy as np
from dezero import Variable
def f(x):
y = x ** 4 - 2 * x ** 2
return y
class HighgradTest(unittest.TestCase):
def test_backward(self):
x = Variable(... | kanan4gh/my-dezero | tests/testStep33.py | testStep33.py | py | 607 | python | en | code | 0 | github-code | 50 |
11932588404 | import zipfile
import tensorflow as tf
from tensorflow.keras.layers import Input, Dense, Dropout, Conv2D, MaxPooling2D, Flatten
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing import image_dataset_from_directory
from tensorflow.keras.applications import EfficientN... | salman-/small-codes-for-tensorflow-certificate-exam | classifications/image-classification/binary-image-classification-prediction.py | binary-image-classification-prediction.py | py | 3,534 | python | en | code | 0 | github-code | 50 |
26636857394 | from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
class MyWindow(QWidget):
def __init__(self):
super(MyWindow, self).__init__()
self.resize(300,300)
self.setWindowTitle('test geometry')
self.setMinimumSize(300,300)
self.setMaximumSize(600,60... | PeterZhangxing/codewars | gui_test/test_pyqt/test_geometry.py | test_geometry.py | py | 1,478 | python | en | code | 0 | github-code | 50 |
33682023920 | import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
import numpy as np
fig = plt.figure()
ax = plt.axes()
ax = ax.set(xlabel='x', ylabel='f(x) = x^3 + x^2 - 10')
x = np.linspace(-20, 20, 1000)
plt.axis([-20, 20, -20, 20])
plt.plot(x, ((x * x * x) + (4 * x * x) - 10), color = '0.75')
plt.plot(x, x-... | TheoDaix/TP_anum | Entrainements/matplotlib_test.py | matplotlib_test.py | py | 392 | python | en | code | 0 | github-code | 50 |
34556117864 | from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def get_burberry_df():
urls = [
"https://us.burberry.com/womens-new-arrivals-new-in/",
"https://us.burberry.com/womens-new-arrivals-new-in/?start=2&pageSize=120&productsOffset=&cell... | adasegroup/FDS2020_seminars | Week 2/Day 2/Submissions/Sergei_Gostilovich/get_data_fun.py | get_data_fun.py | py | 5,341 | python | en | code | 3 | github-code | 50 |
11342959263 | import pickle
import requests
import string
def get_keyword_xml(letter):
r = requests.get(f'https://vocab.lternet.edu/vocab/vocab/services.php?task=letter&arg={letter}')
return r.text
def parse_keywords(txt):
i = 0
keywords = []
while i >= 0:
i = txt.find('<string><![CDATA[', i)
... | PASTAplus/ezEML | get_lter_keywords.py | get_lter_keywords.py | py | 775 | python | en | code | 6 | github-code | 50 |
71244192794 | def read():
numbers = []
with open("./files/numbers.txt", "r", encoding="utf-8") as data:
for line in data:
numbers.append(int(line))
print(numbers)
def write():
names = ["Facundo", "Miguel", "Pepe", "Christian", "Fernández"]
with open("./files/numbers.txt",... | defdzg/Platzi-Python-intermedio | archivos.py | archivos.py | py | 675 | python | en | code | 0 | github-code | 50 |
15726376022 | #!/usr/bin/env python
# coding: utf-8
# In[39]:
import pandas as pd
from pandas_datareader import data as pdr
import yfinance as yf
import numpy as np
import datetime as dt
import matplotlib.pyplot as plt
# In[117]:
tickers = ['HD','DIS','WMT','VZ']
# In[118]:
weights = np.array([.25, .3, .15, .3])
# In[11... | btobin0/Python-Hedging-Trading | Learning ValueAtRisk(VAR).py | Learning ValueAtRisk(VAR).py | py | 3,246 | python | en | code | 2 | github-code | 50 |
27193442601 | import numpy as np
from tqdm import tqdm
from tabulate import tabulate
from torch.utils.data import DataLoader
from scipy.special import softmax
from sklearn import preprocessing
from data.lmdb_dataset import LMDBDataset
from models.models_dict import DATASET_MODELS_DICT
from config import args
from ds3_utils ... | indussky8/AS3 | AS3_MM/test_ds3.py | test_ds3.py | py | 5,247 | python | en | code | 0 | github-code | 50 |
23792607445 | from copy import deepcopy
n, m = map(int, input().split())
grid = [list(map(int, input().split())) for _ in range(n)]
check = [[False for _ in range(m)] for _ in range(n)]
answer = -99999999
def check_is_visited(check, r1, c1, r2, c2):
return any(
[any([check[i][j] for j in range(c1, c2 + 1)]) for i in r... | innjuun/Algorithm | LeeBros/2주차/겹쳐지지 않는 두 직사각형.py | 겹쳐지지 않는 두 직사각형.py | py | 1,515 | python | en | code | 2 | github-code | 50 |
16380363520 | # Preprocessor - Alexander Liao
# This will take dict input (JSON format) and assign each note a UUID
# See /data-formats.md
# `some input` -> `python3 chordgenerator.py`
import json
from sys import stdin, stdout
from chordoffsets import C, D, E, F, G, A, B
def snap(notes):
sixteenthnote = notes["tempo"] / 4
... | hyper-neutrino/hack-the-north-2017 | acc-gen/preprocessor.py | preprocessor.py | py | 1,192 | python | en | code | 0 | github-code | 50 |
9513492956 | #!/usr/bin/env /usr/bin/python3
import numpy as np
import os
import subprocess as sp
import multiprocessing as mp
from pathlib import Path
from timer import timer
from make_initial import make_initial
################################################################################
#====================================... | HopyanLab/ConPT2D | hyperbolic_source/run_eigen.py | run_eigen.py | py | 3,416 | python | en | code | 0 | github-code | 50 |
15341415584 | import requests
import datetime
import pandas as pd
import csv
request_headers = {
'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:75.0) Gecko/20100101 Firefox/75.0',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.5',
'Origin': 'https://grafcan1.maps.arcgis.com',
'Connection': 'keep-a... | nathanschepers/covid-canaries | scripts/update_canarias_cases.py | update_canarias_cases.py | py | 2,880 | python | en | code | 2 | github-code | 50 |
6661385448 | # ---
#
# Needs .csv tables to plot quantities
#
# ---
from __future__ import division
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
import numpy as np
import pandas as pd
import sys
import os
import copy
import h5py
import csv
from s... | vsevolodnedora/prj_gw170817 | scripts/legacy/plot_summary.py | plot_summary.py | py | 63,511 | python | en | code | 0 | github-code | 50 |
18376053040 | import numpy as np
import matplotlib
matplotlib.use("agg")
from minivggnet import MiniVGGNet
from sklearn.preprocessing import LabelBinarizer
from sklearn.metrics import classification_report
from sklearn.model_selection import train_test_split
from keras.optimizers import SGD
from keras.datasets import cifar10
import ... | SalahSoliman/VGGNet | trainvgg.py | trainvgg.py | py | 2,028 | python | en | code | 0 | github-code | 50 |
38302844005 | from flask import Blueprint, render_template, request, flash, redirect, url_for
from flask_login import login_required, current_user
from db_manager import db_manager
from prep_stocks import put_into_db
stock = Blueprint('stock', __name__)
def render_stocks():
cur = db_manager.get_cursor()
cur.execute("""... | jkw944/DIS_Project | MyWebApp/stocks.py | stocks.py | py | 2,741 | python | en | code | 0 | github-code | 50 |
21833302791 | import sys
from sqlalchemy import create_engine
import pandas as pd
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from sklearn.pipeline import Pipeline, FeatureUnion
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.multioutput import MultiOutpu... | gustavex/Udacity_Data_Scientist | 04_disaster_response_pipeline/models/train_classifier.py | train_classifier.py | py | 5,967 | python | en | code | 2 | github-code | 50 |
70085291677 | import threading
import ursina
from calc import *
from gui import Simulation
from planet import Planet, Sky
class Main:
def __init__(self, app, planet_list=[]):
# SET BASIC VARIABLES FOR ursina -------------------------------------------------------
self.app = app
ursina.window.title =... | DerBerlinr/Planet-Simulation | main.py | main.py | py | 1,620 | python | en | code | 2 | github-code | 50 |
30297363580 | # tree with class
class Node:
def __init__(self, data):
self.data = data
self.right = None
self.left = None
class Tree:
def __init__(self, root):
self.r = root
root = None
# inorder traversal
def inorder_wrapper_traversal(self):
self.inorder_Traversal(self.... | dynstat/DataStructuresInPython | kanchan/Tree/tree_with_class.py | tree_with_class.py | py | 1,184 | python | en | code | 0 | github-code | 50 |
45239525528 | #!/usr/bin/env python3
from flask import Flask, render_template, request, flash, redirect, url_for
from services import*
from services.service import create_people, get_peoples, get_people, delete_people, edit_people, get_courses, people_exist
app = Flask(__name__)
app.secret_key = "mysecretkey"
@app.route('/')
def ... | lordmaster11/Challege-Peoples | app.py | app.py | py | 3,564 | python | en | code | 0 | github-code | 50 |
32786245734 | # -*- coding: utf-8 -*-
# @Author : wangtingyun
# @Time : 2020/03/28
import sys
from PyQt5.QtCore import QPropertyAnimation, Qt, QPoint, QEasingCurve, QTimer
from PyQt5.QtWidgets import QWidget, QLabel, QApplication
class MarqueeWidget(QWidget):
"""跑马灯控件"""
def __init__(self, parent):
super(Ma... | aiwangtingyun/PythonDemo | component/marquee_widget.py | marquee_widget.py | py | 2,358 | python | en | code | 0 | github-code | 50 |
32218884493 | import pygame
class Guy(pygame.sprite.Sprite):
def __init__(self, *groups):
super().__init__(*groups)
self.image = pygame.image.load("data/enzo.png") # 16x16s
self.image = pygame.transform.scale(self.image, [100, 100])
self.rect = pygame.Rect(50, 50, 100, 100)
... | Ewertonalex/Jogo-Pygame-Enzo-vs-Zumbi | guy.py | guy.py | py | 892 | python | en | code | 5 | github-code | 50 |
71116402715 | #!/usr/bin/python
import simplejson
import urllib
import urllib2
import sys
apikey = ""
url = "https://www.virustotal.com/vtapi/v2/file/report"
parameters = {"resource": sys.argv[1], "apikey": apikey}
data = urllib.urlencode(parameters)
req = urllib2.Request(url, data)
response = urllib2.urlopen(req)
json = response... | FKilic/x-tier | X-TIER/scripts/virustotal/virustotal.py | virustotal.py | py | 467 | python | en | code | 4 | github-code | 50 |
14591693671 | def sum(a, b, c ):
return a + b + c
def printBoard(xState, oState):
zero = 'X' if xState[0] else ('O' if oState[0] else 0)
one = 'X' if xState[1] else ('O' if oState[1] else 1)
two = 'X' if xState[2] else ('O' if oState[2] else 2)
three = 'X' if xState[3] else ('O' if oState[3] else 3)
... | saadhussain01306/Tic_tak_toe | project[1].py | project[1].py | py | 1,793 | python | en | code | 1 | github-code | 50 |
14762107866 | from django.db.models.signals import post_save, pre_save
from django.dispatch import receiver
from .models import Profile, MyUser
import os
"""
@receiver(post_save, sender=MyUser)
def create_profile(sender, instance, created, **kwargs):
if created:
Profile.objects.create(user=instance.username)
... | armani24/gglocal | guido/users/signals.py | signals.py | py | 1,186 | python | en | code | 0 | github-code | 50 |
31940036407 | #!/usr/bin/env python
#_*_ codig: utf8 _*_
import os, time, sqlite3
from watchdog.observers.polling import PollingObserver
from watchdog.events import FileSystemEventHandler
from Modules.constants import *
def on_created(event):
con=sqlite3.connect('data.db')
cur=con.cursor()
file_name=os.path.basename(eve... | mgarciasantamaria/uparoundv2 | watchFolder.py | watchFolder.py | py | 1,049 | python | en | code | 0 | github-code | 50 |
7252211669 | #%%
import os
import pandas as pd
from ecg_arrythmia_analysis.code.dataloader import *
from ecg_arrythmia_analysis.code.architectures import *
from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau
from sklearn.metrics import f1_score, accuracy_score
#%%
MODEL_PATH = 'models/'
DATA... | adrianomartinelli/machine-learning-for-health-care | ecg_arrythmia_analysis/code/functions.py | functions.py | py | 8,081 | python | en | code | 0 | github-code | 50 |
29774578297 | import torch
import numpy as np
# Blender is right hand system
def dataset_loader():
data = np.load('../ganyu_150.npz')
# data = np.load('../tiny_nerf_data.npz')
images = data['images']
poses = data['poses'] # camera to world
focal = data['focal']
return images, poses, focal | Pokerlishao/MyNeRF | datasets/make_dataset.py | make_dataset.py | py | 300 | python | en | code | 0 | github-code | 50 |
4595634845 | from django.http import HttpResponseServerError
from rest_framework.viewsets import ViewSet
from rest_framework.response import Response
from rest_framework import serializers, status
from iimproveapi.models import Tag, User
class TagsView(ViewSet):
"""iimproveapi tags view"""
def retrieve(self, request, pk):... | nishayaraj/I-Improve-Server | iimproveapi/views/tags.py | tags.py | py | 2,411 | python | en | code | 0 | github-code | 50 |
20698870729 | from pyo import *
CHORD = {
'maj7': [-12, -8, -5, -1],
'm7': [-12, -9, -5, -2],
'x7': [-12, -8, -5, -2],
'half_dim': [-12, -9, -6, -2]
}
s = Server()
s.setInputDevice(3) # Steinberg in
s.setOutputDevice(3) # Steinberg out
s.setMidiInputDevice(99)
s.boot()
mic = Input().play().out()
notes = Notein(poly=10, s... | ancoopa/chords-machine | chord_machine.py | chord_machine.py | py | 1,373 | python | en | code | 2 | github-code | 50 |
11069612230 | import os
import tempfile
import unittest
from unittest.mock import patch
from click.testing import CliRunner
from gramps.cli.clidbman import CLIDbManager
from gramps.gen.dbstate import DbState
from sqlalchemy.exc import IntegrityError
from gramps_webapi.__main__ import cli
from gramps_webapi.app import create_app
fr... | windmark/gramps-webapi | tests/test_cli.py | test_cli.py | py | 2,131 | python | en | code | null | github-code | 50 |
26382057896 | import os
import setuptools
from tools import get_requirements, get_readme, get_version
def main():
path = os.path.dirname(os.path.abspath(__file__))
version = get_version()
open( os.path.join(path, "kara_storage", "version.py"), "w" ).write('version = "%s"' % version)
setuptools.setup(
name... | a710128/kara-storage | setup.py | setup.py | py | 1,061 | python | en | code | 7 | github-code | 50 |
8454219258 | from django.urls import path
from .views import RegisterView, RetrieveUserView, LogoutView
from . import views
urlpatterns = [
path('register', RegisterView.as_view()),
path('me', RetrieveUserView.as_view()),
path('login', views.LoginView,name="login"),
path('logout', LogoutView.as_view()),
path('v... | NithinKrishna10/Django-Rest-Framework-JWT-authentication | accounts/urls.py | urls.py | py | 935 | python | en | code | 0 | github-code | 50 |
45009242698 | # Author: Sheikh Rabiul Islam
# Date: 07/10/2019; updated: 07/15/2019
# Purpose: preprocess data using all features; resample minority class;
# save the fully processed data as numpy array (binary: data/____.npy)
#import modules
import pandas as pd
import numpy as np
import time
from sklearn.utils import shuffle... | SheikhRabiul/domain-knowledge-aided-explainable-ai-for-intrusion-detection-and-response | data_preprocess_all_features.py | data_preprocess_all_features.py | py | 5,596 | python | en | code | 1 | github-code | 50 |
874748908 | class RobotInAGrid:
"""
8.2
Robot in a Grid: Imagine a robot sitting on the upper left corner of grid with r rows and c columns.
The robot can only move in two directions, right and down, but certain cells are "off limits" such that
the robot cannot step on them. Design an algorithm to find a path f... | DmitryPukhov/pyquiz | pyquiz/ctci/dynamic/RobotInAGrid.py | RobotInAGrid.py | py | 1,849 | python | en | code | 0 | github-code | 50 |
25822728887 | imdb_file = input("Enter the name of the IMDB file ==> ").strip()
print(imdb_file)
counts = dict()
for line in open(imdb_file, encoding = "ISO-8859-1"):
words = line.strip().split('|')
movie = words[1].strip()
if movie in counts:
if words[0] in counts[movie]:
continue
counts[mov... | emilyvroth/cs1 | lecture/lecture17/part2.py | part2.py | py | 758 | python | en | code | 0 | github-code | 50 |
70644985755 | from flask_app import app
from flask import render_template, request, redirect
from flask_app.models.user import User
@app.route("/")
def index():
return render_template("index.html")
@app.route("/read_all")
def read_all():
return render_template("read(all).html", all_users = User.retrieve_all())
@app.route(... | Diaz1620/user_crud_mod | flask_app/controllers/users.py | users.py | py | 1,422 | python | en | code | 0 | github-code | 50 |
72087571675 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bbs', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='comment',
name='parent_co... | triaquae/py_training | OldboyBBS2/bbs/migrations/0002_auto_20150909_0238.py | 0002_auto_20150909_0238.py | py | 449 | python | en | code | 85 | github-code | 50 |
6790715267 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 10 22:30:13 2018
@author: Zhang Xiang
"""
import numpy as np
def loadData(filename):
"""导入数据"""
dataMat = []
fr = open(filename)
for line in fr.readlines():
curline = line.split('\t')
curline = list(map(float, curline))
... | zhangxiangchn/Demo | Model Tree.py | Model Tree.py | py | 3,132 | python | en | code | 3 | github-code | 50 |
10977899326 | import logging
import numpy as np
from ibmfl.model.model_update import ModelUpdate
from ibmfl.aggregator.fusion.iter_avg_fusion_handler import IterAvgFusionHandler
logger = logging.getLogger(__name__)
class PrejudiceRemoverFusionHandler(IterAvgFusionHandler):
def fusion_collected_responses(self, lst_model_updat... | SEED-VT/FedDebug | debugging-constructs/ibmfl/aggregator/fusion/prej_remover_fusion_handler.py | prej_remover_fusion_handler.py | py | 1,248 | python | en | code | 7 | github-code | 50 |
4815676842 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pickle
# creamos/abrimos el archivo acces donde se guardará los datos de acceso menos la contraseña, lo leemos y cerramos el archivo
def lee(nombre):
try:
# leemos los datos del archivo acces.txt
fin=open(nombre,"rb")
list=pick... | Carlostlr/Gestor-empresa | general/archivos.py | archivos.py | py | 809 | python | es | code | 0 | github-code | 50 |
72148543514 | import streamlit as st
import io
import pdfplumber
import openai
from keys import OPEN_API_KEY
# Set your API key
openai.api_key = OPEN_API_KEY
# Define the model you want to use
MODEL_NAME = "text-davinci-003"
MAX_TOKENS = 100
# Page Configuration
st.set_page_config(page_title="PDF Summarizer", page_icon=":arrow_up... | mazalkov/baag.ai | src/baag/app.py | app.py | py | 1,707 | python | en | code | 0 | github-code | 50 |
28103079549 | # Calculadora Python
calc = True
while calc:
entrada = input('Pressione "Enter" para continuar ou "sair" para encerrar o programa: ').lower()
if entrada != 'sair':
num1 = input('Digite um número: ')
int_num1 = int(num1)
oper = input('Digite a operação (+, -, /, *) >> ')
... | marcelogabrielcn/udemy_python2023 | aula27.py | aula27.py | py | 983 | python | pt | code | 0 | github-code | 50 |
19873780444 | #!/usr/bin/python
from string import Template
import stat
import SCons
def md5sum(filename):
import hashlib
f = file(filename,'rb')
return hashlib.md5(f.read()).hexdigest()
def md5sum_action(target, source, env):
for i in range(len(source)):
digest = md5sum(source[i].abspath)
content ... | LolHacksRule/popcap | osframework/source/site_scons/site_tools/md5sum.py | md5sum.py | py | 1,306 | python | en | code | 5 | github-code | 50 |
9148368381 | # -*- coding: utf-8 -*-
import os
import yaml
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy.exc import IntegrityError, SQLAlchemyError
import pysite.models
from pysite.authmgr.models import Principal, Role
def check_site(sites_dir, sitename):
"""
Checks integrity of a site.
A site is int... | dmdm/PySite | pysite/sitemgr/manager.py | manager.py | py | 10,164 | python | en | code | 5 | github-code | 50 |
20334472449 | import numpy as np
def preprocess(dataset):
data = np.array(dataset['data'])
data = np.unique(data, axis=0)
X = data[:, :-1]
y = data[:, -1]
X = X.astype(np.float64)
y = y.astype(np.uint32)
return X, y
| MarioDudjak/OversamplingWorkflow | program/DatasetManagement/Preprocessing.py | Preprocessing.py | py | 234 | python | en | code | 0 | github-code | 50 |
23534776330 | import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import hiplot as hip
import plotly.express as px
#import altair as alt
#sklearn
from sklearn.preprocessing import MinMaxScaler
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassi... | faisalece/CMSE830_Midterm_Project | app.py | app.py | py | 21,083 | python | en | code | 0 | github-code | 50 |
16139769924 | # 2022.01.21
import faiss
class ProductQuantizer():
def __init__(self, n_codes, code_size=1):
self.log_n_codes = (int)(np.log2(n_codes-1))+1
self.n_codes = pow(2, self.log_n_codes)
self.code_size = code_size
self.dim = -1
self.codebook = None
def fit(self, X):
... | yifan-fanyi/Func-Pool | ProductQuantizer.py | ProductQuantizer.py | py | 1,291 | python | en | code | 2 | github-code | 50 |
32053161555 | # pip3.10 install openpyxl
import openpyxl
import io
# Ruta al archivo byte descargado
archivo_byte = 'data2.net_7e80c8ad-b3b2-4fd9-90e6-35791b123e5e'
# Abre el archivo byte
with open(archivo_byte, 'rb') as f:
contenido_byte = io.BytesIO(f.read())
# Carga el archivo byte en openpyxl
libro_excel = openpyxl.load_w... | GerardoRosas-27/examplesPy | converteByteToExcel.py | converteByteToExcel.py | py | 504 | python | es | code | 0 | github-code | 50 |
27351665750 | import socket
import psutil
dsk = psutil.disk_usage('/')
F = dsk.free #Fに空き容量を代入
FM = F/1000000 #1000000で割ってmbの値にして代入
with socket.socket(socket.AF_INET,socket.SOCK_STREAM) as s:
s.connect(('192.168.0.57', 50007))
#メッセージ
s.sendall(b'Sensor Connected')
data = s.recv(1024)
print(repr(data))
pr... | KanekoTW/Python | socket/clienthdd.py | clienthdd.py | py | 397 | python | ja | code | 0 | github-code | 50 |
7422846475 | import random
# prompt the user to enter the maximum number that can be guessed
max_num = int(input("Masukkan angka terbesar yang diinginkan: "))
# randomly choose a number to be guessed
number = random.randint(1, max_num)
# set the initial number of guesses to zero
num_guesses = 0
# set the initial range of possib... | lunaticbugbear/guess-the-number | guess_computer.py | guess_computer.py | py | 1,247 | python | en | code | 0 | github-code | 50 |
43161433239 | from django.conf.urls import url
from scouts.sub_tasks.api import views
urlpatterns = (
# MoveOut Sub Tasks
url(r'^move_out/remarks/$', views.MoveOutRemarkUpdateView.as_view()),
url(r'^move_out/amenity_check/$', views.MoveOutAmenitiesCheckupRetrieveUpdateView.as_view()),
# PropertyOnBoarding Sub Tas... | HalanxDev/Halanx-Scout-Backend | scouts/sub_tasks/urls.py | urls.py | py | 852 | python | en | code | 0 | github-code | 50 |
11607558430 | # '''
# Tema 1 _ Setup, Variabile, Tipuri de date
# Exerciții Recomandate - grad de dificultate: Ușor .
# 1. Revizualizează întâlnirea 1 și ia notițe în caz că ți-a scăpat ceva.
# 2. Vizualizează din videoul ‘Primii pași în Programare’:
# - Variabile și Tipuri;
# - Operatori și Flow Control.
# Astfel, la întâlnirea LIV... | GavrilaSergiuGVS/TESTGH | tema1.py | tema1.py | py | 5,419 | python | ro | code | 0 | github-code | 50 |
23589033627 | import telebot
from django.shortcuts import render, redirect
from django.http import HttpResponse
from . import models
# Create your views here.
bot = telebot.TeleBot('5459935331:AAGVWpnqIK_bYMatPGDtqTWS8iPiWZgTJBc')
def home_page(request):
all_category = models.Category.objects.all()
return render(request... | khurshid02/internet_magazin_django | main_page/views.py | views.py | py | 3,801 | python | en | code | 0 | github-code | 50 |
8876495576 | import click
from flask import Flask
from flask.cli import AppGroup
# from .models.common import db
# from flask_sqlalchemy import SQLAlchemy
from app.models import (
db, Stock
)
from app.logic.stock import stock_init_db
stock_cli = AppGroup('stock')
@stock_cli.command('init-db')
def cmd_stock_init_db():
"""
... | jackalissimo/pipkoff | app/cli.py | cli.py | py | 742 | python | en | code | 0 | github-code | 50 |
25588677373 | # encoding: utf-8
from __future__ import absolute_import, division, print_function, unicode_literals
import codecs
import datetime
import hashlib
import logging
import os
import shutil
import stat
import sys
import tempfile
import unicodedata
import unittest
from os.path import join as j
import mock
from io import S... | LibraryOfCongress/bagit-python | test.py | test.py | py | 49,635 | python | en | code | 198 | github-code | 50 |
4682107697 | from dal_select2.views import Select2QuerySetView
from django.http import JsonResponse
from django.utils import timezone
from rest_framework.fields import IntegerField, DateField
from rest_framework.serializers import Serializer
from rest_framework.views import APIView
from the_redhuman_is.models import Worker
from th... | yaykarov/Gettask | the_redhuman_is/views/backoffice_app/delivery/requests_on_map.py | requests_on_map.py | py | 3,040 | python | en | code | 0 | github-code | 50 |
34655456874 | _author_ = 'jake'
_project_ = 'leetcode'
# https://leetcode.com/problems/largest-rectangle-in-histogram/
# Given n non-negative integers representing the histogram's bar height where the width of each bar is 1,
# find the area of largest rectangle in the histogram.
# For each bar, find the largest rectangle including... | jakehoare/leetcode | python_1_to_1000/084_Largest_Rectangle_in_Histogram.py | 084_Largest_Rectangle_in_Histogram.py | py | 1,437 | python | en | code | 49 | github-code | 50 |
34884768649 | """
输入某二叉树的前序遍历和中序遍历的结果，请重建该二叉树。假设输入的前序遍历和中序遍历的结果中都不含重复的数字。
"""
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def buildTree(self, preorder, inorder) -> TreeNode:
# 1.根据前序遍历确树的根节点
# 2. 根据中序遍历顺序 找到两个子树的集合
if ... | Dong98-code/leetcode | codes/got-Offer/07.buildTree.py | 07.buildTree.py | py | 1,119 | python | en | code | 0 | github-code | 50 |
32570914038 | import pyark.cva_client as cva_client
from protocols.protocol_7_3.cva import ReportEventType, Transaction
import logging
import pandas as pd
REPORT_EVENT_TYPES = [ReportEventType.genomics_england_tiering, ReportEventType.candidate, ReportEventType.reported,
ReportEventType.questionnaire]
class... | genomicsengland/pyark | pyark/subclients/cases_client.py | cases_client.py | py | 11,220 | python | en | code | 1 | github-code | 50 |
3059198420 | import numpy as np
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dense, Conv2D, Dropout, BatchNormalization, MaxPooling2D, Flatten
x_train = np.load('../data/image/brain/npy/keras66_train_x.npy')
x_val = np... | SunghoonSeok/Study | keras2/keras66_4_load_npy_fit.py | keras66_4_load_npy_fit.py | py | 2,463 | python | en | code | 2 | github-code | 50 |
32266419487 | import requests
import time
from data import TOKEN
API_URL: str = 'https://api.telegram.org/bot'
BOT_TOKEN: str = TOKEN
TEXT: str = 'Мы законектились!'
MAX_COUNTER: int = 100
offset: int = -2
counter: int = 0
chat_id: int
while counter < MAX_COUNTER:
print('attempt =', counter) #Чтобы видеть в консоли, что ко... | geronda94/aiogram_learning | experiments_with_token/simle_requests.py | simle_requests.py | py | 1,394 | python | ru | code | 0 | github-code | 50 |
37935322797 |
import scrapy
import logging
from scrapy.contrib.spiders import Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
class StackOverflowSpider(scrapy.Spider):
name = 'stackoverflow'
start_urls = ['http://www.mirrorkart.com/Buy-Designers-Mirrors-o... | amititash/hc_scrapy | tmp_spider.py | tmp_spider.py | py | 966 | python | en | code | 0 | github-code | 50 |
44323507785 | import pickle
from typing import Any
import numpy as np
def load_pickle(filepath: str) -> Any:
"""Load a pickle file
Args:
filepath (str): path to pickle file
"""
with open(filepath, "rb") as pickle_file:
data = pickle.load(pickle_file)
return data
def min_max_normalize(a: np.... | AntoineRichard/LunarDiffusion | dem_zoomer/utils/data_utils.py | data_utils.py | py | 900 | python | en | code | 0 | github-code | 50 |
25249220807 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 6 10:29:13 2021
@author: Oscar
"""
"""
# Calulate the sum of squares of however many natural numbers
def squaresum(n):
#Initiate a variable for holding the sums
sm = 0
# Iterate the addition of each individual squares from 1 to n+1 number
fo... | oliver779/Computational_Methods_Course | Sum of Squares.py | Sum of Squares.py | py | 1,392 | python | en | code | 0 | github-code | 50 |
29362569826 | # *************************************************************************************************
# quant_momentum_strategy
#
# The goal of this script is to delop a investing strategy that recommends an equal weight
# portfolio of the 50 stocks with the highest price momentum.
#
# Following @nickmccullum Algorithmi... | Dialvive/Python-Algorithmic-Trading | quantitative-momentum-strategy/quant_momentum_strategy.py | quant_momentum_strategy.py | py | 3,190 | python | en | code | 0 | github-code | 50 |
16751400524 | n1=float(input("Ingresa el primer numero: "))
n2=float(input("Ingresa el segundo numero: "))
print("Son iguales?",n1==n2)
print("Son iguales?",n1!=n2)
##
cadena=input("Escribe una cadena")
lon=len(cadena)
print("es mayor que 3 y menor que 10?",3<lon<10)
##
NumeroMagico=12345679
NumeroUsuario=int(input("ingresa un numer... | jesusRL96/python_curso | 2.py | 2.py | py | 607 | python | es | code | 0 | github-code | 50 |
26241642628 | # -*- coding: utf-8 -*-
import logging
import openai
from modelcache.adapter.adapter_query import adapt_query
from modelcache.adapter.adapter_insert import adapt_insert
from modelcache.adapter.adapter_remove import adapt_remove
class ChatCompletion(openai.ChatCompletion):
"""Openai ChatCompletion Wrapper"""
... | kpister/prompt-linter | data/scraping/repos/codefuse-ai~CodeFuse-ModelCache/modelcache~adapter~adapter.py | modelcache~adapter~adapter.py | py | 1,417 | python | en | code | 0 | github-code | 50 |
73638395356 | __author__ = 'Canon'
from PIL import Image
from StringIO import StringIO
def crop_save_img(filename, data, x1, y1, x2, y2):
imgIO = StringIO(data)
img = Image.open(imgIO)
croped_img = img.crop((x1, y1, x2, y2))
dot_pos = filename.rfind('.')
absfilename = filename[:dot_pos]
croped_img.save(absf... | silentcanon/Anya | service/photo.py | photo.py | py | 344 | python | en | code | 0 | github-code | 50 |
25507326314 | # Python program to identify the identifier
# import re module
# re module provides support
# for regular expressions
import re
# Make a regular expression
# for identify valid identifier
regex = "^[A-Za-z_][A-Za-z0-9_]*"
# Define a function for
# identifying valid identifier
def check(word):
keywords = [
... | roshanxshrestha/college-codes | 4-TOC/5cidentifiers.py | 5cidentifiers.py | py | 1,249 | python | en | code | 0 | github-code | 50 |
7440046301 | import cv2
import matplotlib.pyplot as plt
def plt_imshow(title="image", img=None, figsize=(8, 5)):
plt.figure(figsize=figsize)
if type(img) == list:
if type(title) == list:
titles = title
else:
titles = []
for i in range(len(img)):
titles.... | lee-lou2/ocr | utils/image_show.py | image_show.py | py | 1,001 | python | en | code | 2 | github-code | 50 |
12042695517 | from sklearn.datasets import fetch_20newsgroups
from collections import Counter
import re
import spacy
from tqdm import tqdm
import string
import numpy as np
def count_words(data):
nlp = spacy.load('en_core_web_sm')
counter = Counter()
for sentence in tqdm(data.data):
sentence = sentence.lower().t... | nviolante25/mva | neuroscience/project/src/preprocess.py | preprocess.py | py | 2,460 | python | en | code | 0 | github-code | 50 |
3319870177 | class LLQueue:
class Node:
def __init__(self, data=None, next=None, prev=None) -> None:
self.data = data if data != None else None
self.next = next if next != None else None
self.prev = prev if prev != None else None
def __init__(self, items=None) -> None:
#... | erumtw/oods-in-practice | 5_LinkedList/Untitled-1.py | Untitled-1.py | py | 1,876 | python | en | code | 0 | github-code | 50 |
37454116649 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import re
import time
from pprint import pprint
from warnings import warn
from datetime import datetime
import itertools
import inspect
from bidi import algorithm as bidi
import matplotlib.dates as mdates
import matplotlib.tick... | ido90/News | Analyzer/BasicAnalyzer.py | BasicAnalyzer.py | py | 13,277 | python | en | code | 1 | github-code | 50 |
12272900226 | import argparse
def load(filepath):
"""Loads data from file to database"""
try:
with open(filepath) as file_:
for line in file_:
print(line)
except FileNotFoundError as e:
print(f"File not found {e}")
def main():
parser = argparse.ArgumentParser(
... | brunoades/dundie-rewards | dundie/__main__.py | __main__.py | py | 836 | python | en | code | 0 | github-code | 50 |
28609719527 | import os
from PyQt4 import QtGui, uic
from PyQt4.QtCore import *
from PyQt4.QtGui import *
from PyQt4.QtWebKit import QWebView
from qgis.gui import *
import plotly
from plotly.graph_objs import Scatter, Box, Layout
FORM_CLASS, _ = uic.loadUiType(os.path.join(
os.path.dirname(__file__), 'ui/data_plot_dialog_bas... | mdouchin/DataPlot | data_plot_dialog.py | data_plot_dialog.py | py | 3,341 | python | en | code | 0 | github-code | 50 |
20296661811 | import logging
from google.protobuf.json_format import MessageToDict, ParseDict
from serving.core.error_code import ExistBackendError, RunTimeException, CreateAndLoadModelError, ListOneBackendError, \
ReloadModelOnBackendError, TerminateBackendError
from serving.core import error_reply
from ..core import backen... | JK-97/ai-serving | src/serving/handler/backend.py | backend.py | py | 3,878 | python | en | code | 2 | github-code | 50 |
42015918298 | import json
import urllib
from settings import SERVER_BASE_URL
HEADERS = {'Content-Type': 'application/json'}
def get_nodes(http_client, noun):
noun = urllib.quote_plus(noun)
result = http_client.get('''{0}/nodes?where={{"noun": "{1}"}}'''.format(SERVER_BASE_URL, noun), headers=HEADERS)
items = result.js... | mpmenne/global-hack-II | gh2insertworker/nodes.py | nodes.py | py | 635 | python | en | code | 0 | github-code | 50 |
42596275000 | import numpy as np
import dolfin
from dolfin import *
from mpi4py import MPI as pyMPI
comm = pyMPI.COMM_WORLD
mpi_comm = MPI.comm_world
#load mesh,boundaries and coefficients from file
mark = {"Internal":0, "wall": 1,"inlet": 2,"outlet": 3 }
#read mesh and boundaries from file
mesh = Mesh()
hdf = HDF5File(mesh.mpi_... | BinWang0213/TemporaryProject | hdg_test/2d/cg_test.py | cg_test.py | py | 2,253 | python | en | code | 1 | github-code | 50 |
24020092678 | import os
import mne
import yaml
import json
import pickle
import numpy as np
import scipy as sp
import pandas as pd
import nibabel as nb
import matplotlib.pyplot as plt
from inspect import getsourcefile
from .acquisition import Acquisition2kHz, Acquisition10kHz
# quick function for coreg checking
def plot_overlay... | spinoza-centre/prf-seeg | prfseeg/patient.py | patient.py | py | 8,674 | python | en | code | 2 | github-code | 50 |
32115803578 | import csv
def setAmount():
data_string = []
with open('500_constituents_financial.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
check = False
for row in csv_reader:
if check:
data_string.append(row)
check = True
return d... | MinTimmy/Data_Structure | First_semester/Demo1/all/test10.py | test10.py | py | 1,176 | python | en | code | 0 | github-code | 50 |
38409639622 | import boto3
import email
import json
import urllib.parse
from datetime import datetime
from sms_spam_classifier_utilities import one_hot_encode
from sms_spam_classifier_utilities import vectorize_sequences
region = 'us-east-1'
s3_client = boto3.client('s3')
sagemaker_client = boto3.client('runtime.sagemaker')
ses_cl... | reganbragg/cloud-hw3-ML-spam-detector | Lambda/lambda_function.py | lambda_function.py | py | 4,305 | python | en | code | 1 | github-code | 50 |
11017700567 | """Our main visual theme"""
import os
import serge.blocks.themes
W, H = 800, 600
theme = serge.blocks.themes.Manager()
theme.load({
'main': ('', {
# Main properties
'screen-height': H,
'screen-width': W,
'screen-title': 'bomberman',
'screen-icon-filename': 'icon.png',
'screenshot-size':... | IndexErrorCoders/PygamesCompilation | IE_games_2/bombr-0.3/game/theme.py | theme.py | py | 14,528 | python | en | code | 2 | github-code | 50 |
19524836247 | from urllib import request
import http.cookiejar
import re
def getXsrf(data):
cer = re.compile('name=\"_xsrf\" value=\"(.*)\"', flags=0)
strlist = cer.findall(data)
return strlist[0]
def makeMyOpener(head={
'Connection': 'Keep-Alive',
'Accept': 'text/html, application/xhtml+xml, */*',
'Accep... | minghzhang007/python-learn | pythondemo1/crawler/demo4.py | demo4.py | py | 900 | python | en | code | 0 | github-code | 50 |
19942848799 | from socket import MSG_CONFIRM
from nonebot.adapters.onebot.v11 import Bot, MessageEvent, MessageSegment
from nonebot import on_command
from jmcomic import *
from jmcomic.jm_option import *
jm = on_command("jm", aliases={"JM"}, priority=2, block=True)
search = on_command("search", priority=2, block=True)
jm_option = c... | kyoshiki214/nonebot_kou | src/plugins/jm/__init__.py | __init__.py | py | 3,410 | python | en | code | 0 | github-code | 50 |
27386022394 | # sort() method = used with lists
# sort() function = used with iterables
student = ["Squidward", "Sandy", "Patrick", "Spongebob", "Mr. Krabs"]
#Only works with lists not tuples
student.sort() #alphabetical order. student.sort(reverse=True) will do reverse alphabetical order
for i in student:
print (i)
pri... | 18gwoo/Python-Practice | BroCode52_Python_Sort.py | BroCode52_Python_Sort.py | py | 1,597 | python | en | code | 0 | github-code | 50 |
17403548098 | #!/home/mark/phd/venv/bin/python
# coding: utf-8
"""Function to persist experiment results."""
from typing import Dict
from typing import Any
from typing import Optional
import torch as th
from hashlib import sha256
from base64 import b64encode
from os import makedirs
from os.path import isdir
from os.path import ba... | MarkTuddenham/pytorch_research | pytorch_research/persist.py | persist.py | py | 2,139 | python | en | code | 0 | github-code | 50 |
42577337398 | def flatten(list):
return aflatten(list, [])
def aflatten(list, a):
for i in list:
print(i)
try:
if len(i)>1:
a=aflatten(i,a)
except:
a.append(i)
return a
print(flatten([[1,1],2,[1,1]]))
| RamonRomeroQro/ProgrammingPractice | code/FlattenNestedList.py | FlattenNestedList.py | py | 265 | python | en | code | 1 | github-code | 50 |
40209166347 | #! /usr/bin/env python
import argparse
import os
import sys
import json
import math
import pickle
import torch
import numpy as np
from scipy.stats import entropy
from datasets import load_dataset
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
from models import ElectraQA
parser = argparse.A... | VatsalRaina/question_answering_squad2 | combo_electra/entropy_large.py | entropy_large.py | py | 5,053 | python | en | code | 0 | github-code | 50 |
13194295159 | """
You're given the root node of a Binary Tree. Write a function that returns true if this Binary Tree is height balanced
and false if it isn't.
A Binary Tree is height balanced if for each node in the tree, the difference between the height of its
left subtree and the height of its right subtree is at most 1.
Ea... | rageshn/AlgoExpert | BinaryTrees/height-balanced-binary-tree.py | height-balanced-binary-tree.py | py | 2,620 | python | en | code | 0 | github-code | 50 |
12415513344 | import numpy as np
import os
import turtle
import time
import random
import pyaudio
import sys
import struct
from datetime import datetime
# Config
INITIAL_TAP_THRESHOLD = 0.010
FORMAT = pyaudio.paInt16
SHORT_NORMALIZE = (1.0/32768.0)
CHANNELS = 2
RATE = 44100
INPUT_BLOCK_TIME = 0.05
INPUT_FRAMES_PER_BLOCK = int(RA... | T4w51f/StadiumExperiment | module_4_experiment.py | module_4_experiment.py | py | 5,645 | python | en | code | 0 | github-code | 50 |
72926904475 | from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.button import Button
from kivy.uix.scrollview import ScrollView
from kivy.core.audio import SoundLoader
import csv
import math
class RadioApp(App):
def build(self):
self.title = 'Offline Radio A... | Turyamureeba/radio | radio.py | radio.py | py | 3,721 | python | en | code | 0 | github-code | 50 |
72087492955 | def nb_voyelles(chaine):
"Retourner le nombre de voyelles présentes dans une chaîne donnée"
liste_voyelles = ["a", "A", "e", "E", "i","I", "o","O", "u","U", "y","Y"] # Liste qui contient les voyelles (en maj. et en min.) auxquelles seront comparés les caractères de la chaîne
n_voyelles = 0 # Nombre de voye... | terenceithaque/stage-python-2022-2023 | nb_voyelles.py | nb_voyelles.py | py | 763 | python | fr | code | 0 | github-code | 50 |
21277287943 | '''
Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
You may assume NO duplicates in the array.
Example
[1,3,5,6], 5 → 2
[1,3,5,6], 2 → 1
[1,3,5,6], 7 → 4
[1,3,5,6], 0 → 0
Challenge
O(log(n)) time
'''
class S... | dragonforce2010/interview-algothims | lecture_basic/Lecture2.Binary_Search/60. Search Insert Position.py | 60. Search Insert Position.py | py | 782 | python | en | code | 19 | github-code | 50 |
15981818502 | import pickle
import pprint
import time
from selenium import webdriver
def save_cookies(driver, location):
pickle.dump(driver.get_cookies(), open(location, "wb"))
def load_cookies(driver, location, url=None):
cookies = pickle.load(open(location, "rb"))
driver.delete_all_cookies()
# have to be on ... | ArturSpirin/YouTube-WebDriver-Tutorials | Cookies.py | Cookies.py | py | 2,582 | python | en | code | 44 | github-code | 50 |
74816851036 | import argparse
import txaio
txaio.use_twisted()
from autobahn.twisted.util import sleep
from autobahn.wamp.types import PublishOptions
from autobahn.twisted.wamp import ApplicationSession, ApplicationRunner
from autobahn.wamp.serializer import JsonSerializer, CBORSerializer, MsgPackSerializer
class ClientSession(A... | crossbario/crossbar-examples | stats/client.py | client.py | py | 2,951 | python | en | code | 169 | github-code | 50 |
11939063154 |
__all__ = ['unet_v',
'unet_v2',
'hourglass_wres',
'hourglass_wores',
'unet_v_synth',
'unet_v2_synth',
'hourglass_wres_synth',
'hourglass_wores_synth',
'unet_v_tr',
'hourglass_wres_tr',
'unet_v_k5',
... | shiveshc/NIDDL | cnn_archs/__init__.py | __init__.py | py | 402 | python | en | code | 4 | github-code | 50 |
32826423573 | import logging
import logging.config
from logging.handlers import RotatingFileHandler
def init_service_logger():
logger = logging.getLogger('TRANSFER-LOGGER')
logging.getLogger('TRANSFER-LOGGER').addHandler(logging.StreamHandler())
logger.setLevel(logging.INFO)
fh = logging.FileHandler(f"/home/doc/Or... | Shamil-G/OraclePostgreTransfer | util/logger.py | logger.py | py | 715 | python | en | code | 0 | github-code | 50 |
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