seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17646478091 |
import xml.etree.ElementTree as ET
import gpxpy
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from datetime import datetime,timedelta
import osmnx as ox
import networkx as nx
import xml.sax
import fiona
import csv
fr... | aceacedey/Mode_Detection_and_Parking_Data | TrainTestModechangesCWSelected.py | TrainTestModechangesCWSelected.py | py | 10,626 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 44,
"usage_type": "name"
},
{
... |
23809878721 | import os
import time
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from torch.autograd import Variable
def save_results_in_csv(y_pred):
'''
Saves the predictions of test lung images in the provided csv file
:param y_pred: numpy array containing the boolean predictio... | rish01/CPSC340_Covid_Classification | utils.py | utils.py | py | 5,273 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"lin... |
26849576202 | import numpy as np
from eigen_rootfinding.Macaulay import build_macaulay, find_degree, \
create_matrix
from eigen_rootfinding.Multiplication import indexarray,indexarray_cheb,\
msroots,get_rand_combos_matrix
from eigen_rootfinding.polyn... | tylerjarvis/eigen_rootfinding | eigen_rootfinding/Nullspace.py | Nullspace.py | py | 17,548 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scipy.special.comb",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scipy.special.comb",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.li... |
29800726787 | import tkinter as tk
from tkinter import ttk
import os
from twisted.internet import tksupport, reactor
from autobahn.twisted.component import Component
from twisted.internet.defer import inlineCallbacks
import pickle
from pathlib import Path
from googleapiclient.discovery import build
import pandas as pd
from itertools... | alan-carroll/public_auditory-behavior | src/GUI/server.py | server.py | py | 16,621 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tkinter.Frame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "tkinter.ttk.Frame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
... |
1629924878 | import environ,os, boto3
from pathlib import Path
import base64
import hashlib
import datetime
BASE_DIR = Path(__file__).resolve().parent.parent
environ.Env.read_env(os.path.join(BASE_DIR, '.env'))
env = environ.Env(
DEBUG=(bool, True)
)
def upload(user,image,*args):
s3 = boto3.client('s3',
aws_acce... | Super-fast-decision-making/Petrasche_back | user/s3upload.py | s3upload.py | py | 816 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "environ.Env.read_env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "environ.Env",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"l... |
322552777 | from graphviz import Digraph as DotGraph
from wordcloud import WordCloud
import matplotlib.pyplot as plt
def showGraph(dot, show=True, file_name='textgraph.gv'):
dot.render(file_name, view=show)
'''
def gshow0(g, file_name='textgraph.gv', show=True):
dot = DotGraph()
for e in g.edges():
f, t = e
# w = ... | ptarau/TextGraphCrafts | textcrafts/vis.py | vis.py | py | 832 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "wordcloud.WordCloud",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplo... |
11484444157 | from typing import Tuple
from neural import *
def parse_line(line: str) -> Tuple[List[float], List[float]]:
"""Splits line of CSV into inputs and output (transormfing output as appropriate)
Args:
line - one line of the CSV as a string
Returns:
tuple of input list and output list
"""
... | LT-Intro-To-AI/assignment7-BryanD17 | cleveland_data.py | cleveland_data.py | py | 3,872 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Tuple",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 40,
"usage_type": "name"
}
] |
32791046376 | # uncompyle6 version 3.8.0
# Python bytecode 3.8.0 (3413)
# Decompiled from: Python 3.10.0 (tags/v3.10.0:b494f59, Oct 4 2021, 19:00:18) [MSC v.1929 64 bit (AMD64)]
# Embedded file name: hidden_treasure.pyw
import time, queue, msilib, threading, base64, struct, sys, hashlib
from Crypto.PublicKey import RSA
import platf... | PKU-GeekGame/geekgame-1st | writeups/players/thezzisu/data/Algorithm/电子游戏概论/auto_treasure_nox.py | auto_treasure_nox.py | py | 6,756 | python | en | code | 52 | github-code | 1 | [
{
"api_name": "hashlib.sha256",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA.construct",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Crypto.PublicKey.RSA",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pl... |
13809327767 | from flask import render_template, Blueprint, flash
from flask import request, redirect, url_for, session
from suchwow.models import Post, Comment, Profile
from suchwow.utils.decorators import login_required
bp = Blueprint("comment", "comment")
@bp.route("/comment/create/post/<post_id>", methods=["GET", "POST"])
@lo... | t-900-a/suchwow | suchwow/routes/comment.py | comment.py | py | 1,087 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "suchwow.models.Post.filter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "suchwow.models.Post",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.f... |
36982929768 | # !apt-get install -y xvfb python-opengl > /dev/null 2>&1
# !pip install gym pyvirtualdisplay > /dev/null 2>&1
import gym
import numpy as np
import random
import math
from tqdm import tqdm
# We can also use CartPole-v1 but it's slower
env_name = "CartPole-v0"
# Information from OpenAi Gym's repository, velocity and ... | z1q1chen/Reinforcement-Learning | Assignment 2/Assignment.py | Assignment.py | py | 3,726 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"li... |
6697572936 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import datetime
# Reading the data
path = '/Users/iuliano/Documents/Proj/'
df = pd.read_excel(path + 'Dataset - Case Study - BI Analyst Wunderflats.xlsx')
# Rename columns
df = df.rename(columns={'dteday': 'date',
... | MarioIuliano87/project_wf | python_code.py | python_code.py | py | 6,217 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_excel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
73944272352 | from functools import partial
import os
from argparse import ArgumentParser
import numpy as np
import open3d as o3d
from utils.dyn_feasibility_check import check_dyn_feasible, check_dyn_feasible_parallel, simple_check_dyn_feasible
from utils.kin_feasibility_check import check_kin_feasible, check_kin_feasible_parallel
... | Ericcsr/synthesize_pregrasp | data/scripts/generate_data_from_seeds.py | generate_data_from_seeds.py | py | 6,266 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "open3d.io.read_point_cloud",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "open3d.io",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
... |
26469890697 | import os
import random
from collections import defaultdict
import nltk
from nltk.util import ngrams
# Step 1: Import necessary libraries
nltk.download('punkt')
# Step 2: Read and preprocess the text from the files
def read_text_files(folder_path):
text_corpus = []
for filename in os.listdir(folder_path):
... | Shilpi-droid/IR-Lab-Repository | Experiment1.py | Experiment1.py | py | 2,204 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,... |
30979904425 | # -*- coding: utf-8 -*-
"""
Created on Fri May 19 07:24:06 2017
@author: manuj
"""
import datetime
from django.utils import timezone
from dateutil.parser import parse
import datefinder
import difflib
import time
import numpy as np
import pandas as pd
from MovieScraper import MovieScraper
from MovieListCleaner import... | manujosephv/MovieScraper | movielistview/Utils.py | Utils.py | py | 8,333 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "django.utils.timezone.make_aware",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 37,
"usage_type": "name"
},
{
"api... |
39304816896 | '''
An efficient program to solve loopover
'''
from collections import deque
def SOLVED(scrambled, solved, INVERSE):
scrambled = list(map(lambda x: list(map(lambda y:INVERSE[tuple(y)], x)), scrambled))
return scrambled == solved
def parity(board):
Q = [[1 if board[i][j]!=[i, j] else 0 for j in range(len(boa... | XRFXLP/Puzzle-and-CSP-solvers | Loopover.py | Loopover.py | py | 8,573 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 54,
"usage_type": "call"
}
] |
6864810139 | import matplotlib.pyplot as plt
import visuals
import switch_functions as switch
import looper
import malus_calc
import numpy as np
"""
These are the used functions. For instructions on how to use them navigate to the README.md
solution = switch.single_loop():
switch.activity_switch_emptyslot(seconds,timeout_amount... | DutchProg/Roostermakers | __Main/rooster.py | rooster.py | py | 2,554 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "looper.loop_tuner",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "malus_calc.malus_calc",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "visuals.plotter",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
27190966619 | #Giải mã base64 --> ảnh
from base64 import b64decode
#print(b64decode('AQID'))
f = open('imagebase64.txt')
b64data = f.read()
f.close()
data = b64decode(b64data)
print(len(data))
f = open('out.png', 'wb')
f.write(data)
f.close() | pytutorial/py2011E | Day10/vd4.py | vd4.py | py | 236 | python | vi | code | 1 | github-code | 1 | [
{
"api_name": "base64.b64decode",
"line_number": 9,
"usage_type": "call"
}
] |
71869489635 | from os import path
from setuptools import setup, find_packages
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as readme_file:
readme = readme_file.read()
requirements = [
'click'
]
test_requirements = [
]
setup(
name='intercom',
version='0.9',... | bceylan/intercom | setup.py | setup.py | py | 1,088 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
21073123831 | '''
Created on 2019年4月8日
@author: bkd
'''
from traceback import format_exception
import sys
from PyQt5.QtWidgets import QMessageBox
class global_exception_hander:
def new_except_hook(self,etype, evalue, tb):
print(''.join(format_exception(etype, evalue, tb)))
QMessageBox.information(None,
... | bkdwei/kdFileFinder | kdFileFinder/exception_handler.py | exception_handler.py | py | 590 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "traceback.format_exception",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMessageBox.information",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMessageBox",
"line_number": 13,
"usage_type": "name"
... |
28698897403 | from sqlalchemy import Column, MetaData, Table, Integer, String, DateTime
from sqlalchemy.sql import func
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.dialects.postgresql import JSON
Base = declarative_base()
class VcmsFeaturePklFile(Base):
__tablename__ = 'feature_pkl_files'
sn =... | clubfly/python_flask | orm_models/vcmsfeaturepklfile.py | vcmsfeaturepklfile.py | py | 2,353 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 11,
"usage_type": "argument"
},
{
... |
2441317746 | from asyncio import tasks
from airflow import DAG
from datetime import datetime, timedelta
from airflow.operators.bash_operator import BashOperator
default_args = {
'owner': 'airflow',
'retries': 2,
'retry_delay': timedelta(minutes=2)
}
with DAG(
dag_id='my_first_dag',
default_arg... | awaisajaz1/apache-airflow-yoda | dags/my_first_dags.py | my_first_dags.py | py | 1,412 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "airflow.operators.ba... |
482110124 | # Importing necessary files
import os
import discord
from dotenv import load_dotenv
import logging.handlers
# .env
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
GUILD = os.getenv('GUILD_ID')
# Set up logging
logger = logging.getLogger('discord')
logger.setLevel(logging.DEBUG)
logging.getLogger('discord.http').setL... | D111GENT/The-Hacker-Hut_Discord-Bot | bot.py | bot.py | py | 1,702 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.handlers.getLogger",
... |
30710414666 | import matplotlib.pylab as plt
import numpy as np
import scipy
from scipy import interpolate
import sys
import os
from linetools.isgm.abscomponent import AbsComponent
import json
from pyigm.guis import igmguesses
from linetools.spectra.io import readspec
import spectrum_analysis_tools as spa
# inwave = REST wavelen... | ibutsky/synthetic_spectra | scripts/analysis/eqwrange.py | eqwrange.py | py | 11,423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.diff",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab.subplots",
... |
33488482675 | import tensorflow.compat.v2 as tf
from scipy.optimize import minimize
import numpy as np
import tensorflow_probability as tfp
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
np.sum(np.array([a for a in ra... | Mikhail-Klochkov/diploma_project | another_variant.py | another_variant.py | py | 5,991 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.sum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 13,... |
3002930568 | #!/usr/bin/env python
# -*- coding: utf-8-*-
import xml.etree.ElementTree as ET
import tarfile
import zipfile
import re
from pathlib import Path
import shutil
import os
import pymysql
import sys
import traceback
import subprocess
import getpass
import Archive as archive
if __name__ in '__main__':
print('処理対象の年度:範... | rise-pat/patent | fulltxt/Entry.py | Entry.py | py | 3,310 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.match",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 35,
"usa... |
35077688849 | from django.db import models
from django.utils import timezone
from datetime import datetime, timedelta
from django import forms
#===========Project_Information=============================
class ProjectInformation(models.Model):
class Meta:
verbose_name = 'Project Information Record'
RESPON... | stan3000/Projectmanagement | management/models.py | models.py | py | 9,328 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
31216769509 | import logging
from urllib.parse import unquote
from datetime import datetime
from biocontainers.common.models import MongoToolVersion, ContainerImage
from biocontainers.common.utils import call_api
from bs4 import BeautifulSoup
logger = logging.getLogger('biocontainers.singularity.models')
class SingularityReader:... | BioContainers/biocontainers-backend | biocontainers/singularity/models.py | models.py | py | 2,279 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "biocontainers.common.utils.call_api",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 33,
"usage_type": "call"
},
{
"api_name":... |
3677143997 | from datetime import date
data_atual = date.today()
data_em_texto = "0{}/0{}/{}".format(data_atual.day, data_atual.month,data_atual.year)
listaNomes = ['Andre','Joao','Luccas']
listaIdades = [23,21,25]
listaNascimento = ['23/11/1998','05/07/2000','18/01/1996']
listaMesMenor = ['04', '06', '09', '11']
def men... | andreduarte07/python | cadastroFunc.py | cadastroFunc.py | py | 4,311 | python | pt | code | 1 | github-code | 1 | [
{
"api_name": "datetime.date.today",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 2,
"usage_type": "name"
}
] |
19059817629 | import pandas as pd #pip install pandas
import pyttsx3 #pip install pyttsx3
import speech_recognition as sr #pip install SpeechRecognition
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
# print(voices[1].id)
engine.setProperty('voice', voices[0].id)
def speak(audio):
engine.say(audio... | Ateeq1234/google_sheets | a.py | a.py | py | 1,291 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyttsx3.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 18,
"usage_type": "call"
},
{
"api_name"... |
74257419234 | #from torchvision.datasets.vision import VisionDataset
from core.VisionDataset import VisionDataset
from PIL import Image
import os
import os.path
import imageio
import numpy as np
import random
from torchvision import transforms
import torch
def has_file_allowed_extension(filename, extensions):
"""Checks if... | cc-hpc-itwm/FacialGAN | Training/core/own_data_loader.py | own_data_loader.py | py | 10,969 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "os.path.expanduser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
37550127205 | import numpy as np
from scipy.stats import invwishart
import matplotlib.pyplot as plt
#Initialization
mu0 = [0, 0]
cov0 = [[5, 0], [0, 5]]
dim = 2
df = 10
scale = np.eye(dim)
scale[0,1] = 0.5
scale[1,0] = 0.5
#K = Number of Gaussian, N = Number of data per Gaussian
K = 3
N = 1000
means = []
covariances = []
#Randoml... | nlhoang/Machine-Learning | GMM_generate.py | GMM_generate.py | py | 1,628 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.eye",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "scipy.st... |
31891553494 | # pp_session.py
import logging
from datetime import datetime
from enum import Enum
import pandas as pd
from typing import Optional
from binance import enums as k_binance
from src.pp_market import Market
from src.pp_order import Order, OrderStatus
from src.pp_account_balance import AccountBalance
from src.xb_pt_calcu... | xavibenavent/polaris_plus | src/pp_session.py | pp_session.py | py | 14,070 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "src.pp_market.Market",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "src.pp_balance_manag... |
25202177087 | import re
import time
import scrapy
from common.domain.hotel import Hotel
from common.domain.review import Review
from database.database_connector import DatabaseConnector
from google_trans_new import google_translator
from scrapy import Request
from textblob import TextBlob
class TripAdvisorSpider(scrapy.Spider):
... | nbratanov/HotelSummaryGenerator | hotel_information/crawlers/spiders/trip_advisor_spider.py | trip_advisor_spider.py | py | 5,953 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "google_trans_new.google_translator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datab... |
44323054852 | """"
Use Cases
1. Create an artifact for my project using 7zip. (This should not be the common installer's responsibility)
2. Install my artifact to my local maven repository.
3. Publish my artifact to a remote snapshot repository.
4. Publish my artifact to a remote release repository.
5. Pull down the latest release v... | chasefarmer2808/CommonInstaller | CommonInstaller.py | CommonInstaller.py | py | 2,931 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "subprocess.Popen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PIPE",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "subprocess... |
71894306274 | from django.shortcuts import render
from charts.echarts import line_chart, Colors
def dashboard_view(request):
total_page_views = {
"x": ["mon", "tue", "wed", "thur", "fri", "sat", "sun"],
"y": [8, 20, 15, 20, 50, 30, 35],
"chart_title": "Total Page Views",
}
unique_visitors = {
... | KiwiKid/ai-budget-bot | app/charts/views.py | views.py | py | 892 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "charts.echarts",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "charts.echarts.line_chart",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "charts.echarts.line_chart",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "ch... |
9349186636 | from django.contrib import admin
from .models import Question, Choice
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class QuestionAdmin(admin.ModelAdmin):
# Adjust which fields get shown on list display.
list_display = ('question_text', 'pub_date', 'was_published_recently')
... | danielhanold/docker-compose-sandbox | django-gunicorn/web/polls/admin.py | admin.py | py | 1,099 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Choice",
"line_number": 8,
"usage_type": "name"
},
{
"api_name"... |
25650586638 | import requests
if __name__ == '__main__':
query = input("请输入搜索内容")
data={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
}
url = f'https://www.baidu.com/s?wd={query}'
resp = requests.get(url,headers=dat... | tgeuuy/Crawler | easy/01/request_get .py | request_get .py | py | 379 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
}
] |
553169162 | """Blogly application."""
from flask import Flask, request, render_template, redirect, flash, session
from flask_debugtoolbar import DebugToolbarExtension
from models import db, connect_db, User, Post, Tag, PostTag
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql:///users'
app.config['SQLALC... | austindreosch/springboard | exercises/section2/sqlalchemy/users-posts-tags-part3/app.py | app.py | py | 4,821 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_debugtoolbar.DebugToolbarExtension",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.connect_db",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": ... |
28610302176 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Authors: Veronika Kohler
# Katharina Schwarz
# Patrick Wieschollek <mail@patwie.com>
"""
Re-Implementation "Will People Like Your Image?" based on TensorPack to support
reproducible multi-gpu training.
"""
from arod_provider import Triplets
import arg... | cgtuebingen/will-people-like-your-image | training/ArodProcessing/triplets_to_txt_file.py | triplets_to_txt_file.py | py | 1,309 | python | en | code | 60 | github-code | 1 | [
{
"api_name": "arod_provider.Triplets",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 40,
"usage_type": "call"
}
] |
25238645318 | from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse
from django.views.generic import ListView
from .forms import OrderForm
import datetime
from django.utils import timezone
from django.urls import reverse
from image.models import Images
from like.models import Likes
from .seri... | MaxOstermann/projectInsta | insta/views.py | views.py | py | 5,024 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "forms.OrderForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
4762653150 | from django.conf.urls import patterns, url, include
from django.contrib import admin
admin.autodiscover()
from photos.views import *
urlpatterns = patterns('',
url(r'^login$', login),
url(r'^register$', register),
url(r'^logout$', logout),
url(r'^index/$', index),
url(r'^public/$', public),
url(r'addPhotoSet/$',... | tcOops/photoShare | photos/urls.py | urls.py | py | 438 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
1879661887 | import json
import time
import pandas as pd
start_time = time.time()
counter=0
file_path="list.json"
main_dictionary=dict()
with open(file_path, "r") as file:
for line in file:
data = json.loads(line)
if "tags" in data:
for element in data["tags"]:
if element not in main... | lorinco/ADM-HW2 | AWSQ/start.py | start.py | py | 865 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 3... |
74786758433 | from conans import ConanFile, CMake, tools
import os
class TracyConan(ConanFile):
name = "tracy"
license = "BSD-3-Clause"
author = "Stepan Gatilov stgatilov@gmail.com"
description = "A real time, nanosecond resolution, remote telemetry, hybrid frame and sampling profiler for games and other applicatio... | fholger/thedarkmodvr | ThirdParty/custom/tracy/conanfile.py | conanfile.py | py | 1,668 | python | en | code | 62 | github-code | 1 | [
{
"api_name": "conans.ConanFile",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "conans.tools.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "conans.tools",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.rename",
"line_n... |
74419549154 | import torch
class PGDAttacker():
def __init__(self, radius, steps, step_size, random_start, norm_type, ascending=True):
self.radius = radius / 255.
self.steps = steps
self.step_size = step_size / 255.
self.random_start = random_start
self.norm_type = norm_type
self... | fshp971/robust-unlearnable-examples | attacks/pgd_attacker.py | pgd_attacker.py | py | 2,643 | python | en | code | 35 | github-code | 1 | [
{
"api_name": "torch.rand_like",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.rand_like",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.autograd.grad",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
... |
34166704308 | #!/usr/bin/python3
import yaml, sys
import numpy as np
import matplotlib.pyplot as plt
def latex_float(x):
exp = int(np.log10(x*1.0))
if abs(exp) > 2:
x /= 10.0**exp
if ('%.1g' % x) == '1':
return r'10^{%.0f}' % (exp)
return r'%.1g\times10^{%.0f}' % (x, exp)
else:
... | droundy/sad-monte-carlo | plotting/cluster.py | cluster.py | py | 2,499 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "numpy.log10",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 3... |
41307346874 | from tkinter import *
import threading
import hashlib
from threading import Thread
import time
from time import sleep
from random import randint
import RPi.GPIO as GPIO
import serial
import mariadb
from mfrc522 import SimpleMFRC522
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(18, GPIO.OUT)
GPIO.output(18... | MateuszLabun9/Bachelors-degree-project | last-form.py | last-form.py | py | 16,324 | python | pl | code | 1 | github-code | 1 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setwarnings",
... |
24504867120 | from blog_handler import BlogHandler
from models.post import Post
from google.appengine.ext import db
def blog_key(name='default'):
return db.Key.from_path('blogs', name)
class DeletePost(BlogHandler):
""" Handler for deleting posts
There is no GET because users shouldn't be visiting this
POST: Ge... | sunwrobert/fullstack-nd | projects/multi-user-blog/handlers/delete_post.py | delete_post.py | py | 1,121 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "google.appengine.ext.db.Key.from_path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.db.Key",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.db",
"line_number": 7,
"usage_type": "name"
}... |
30045890519 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed unde... | openstack/senlin | senlin/tests/unit/api/openstack/test_versions.py | test_versions.py | py | 2,052 | python | en | code | 44 | github-code | 1 | [
{
"api_name": "senlin.tests.unit.common.base.SenlinTestCase",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "senlin.tests.unit.common.base",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 29,
"usage_type": "ca... |
1498862699 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 19 06:57:07 2023
@author: dpw
implement a Taylor series about x = 0 to calculate (approximate) the value of e
or any power of e.
"""
from sympy import factorial
def f(x, n):
return float(x**n / factorial(n))
def sum_series(x, *args, **kw... | darrylwest/python-play | maths/euler-sum.py | euler-sum.py | py | 560 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sympy.factorial",
"line_number": 16,
"usage_type": "call"
}
] |
35635247841 | import os
import sys
import copy
dir=os.getcwd()
dir_list=dir.split("/")
source_list=dir_list[:-1] + ["src"]
source_loc=("/").join(source_list)
sys.path.append(source_loc)
from EIS_class import EIS
from pandas import read_csv
import numpy as np
import matplotlib.pyplot as plt
from EIS_optimiser import EIS_optimiser, EI... | HOLL95/General_electrochemistry | EIS/laviron_param_scans.py | laviron_param_scans.py | py | 6,211 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 37,... |
20616988771 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import warnings
warnings.filterwarnings(
'ignore', category=UserWarning)
import nltk.tokenize as tk
import nltk.corpus as nc
import nltk.stem.snowball as sb
import gensim.models.ldamodel as gm
import gensim.corpora as gc
doc = []
with open('topic.txt... | demo112/1809 | PythonWeb/基础/前端课程资料/买的网页/MS/day6/topic1.py | topic1.py | py | 1,417 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.RegexpTokenizer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "nl... |
72339719074 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from locked_dropout import LockedDropout
from ON_LSTM import ONLSTMStack
from fakegcn import Graph
class Pos_choser(nn.Module):
### Take in the tree currently generated, and return the distribution of positions to inser... | ZacharyChenpk/temp_model | model.py | model.py | py | 7,679 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
74386086752 | from flask import Flask, request, render_template
from flask_sqlalchemy import SQLAlchemy
import math
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = (
'mysql+pymysql://YanServer:123test@yanzzp.xyz:3306/test2'
)
db = SQLAlchemy(app)
class Calculation(db.Model):
id = db.Column(db.Integer, primar... | Yanzzp/calculator | app.py | app.py | py | 1,610 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.req... |
71912287713 | # Encode a text to prevent "shoulder surfing"
import base64, sys
if len(sys.argv) != 2:
print("Usage: " + sys.argv[0] + " text")
else:
enc = []
msg = "warning:"
for i, ch in enumerate(sys.argv[1]):
key_c = msg[i % len(msg)]
enc_c = chr((ord(ch) + ord(key_c)) % 256)
enc.append(enc... | CAST-Extend/com.castsoftware.aip.datamart | utilities/encode.py | encode.py | py | 405 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "base64.urlsafe_b64encode",
... |
16615457674 | """
algorithm:实现软间隔化的核函数SVM二分类算法
reference:http://github.com/ajtulloch/svmpy
Note:上面参考地址给出了基于凸优化库cvxopt的svm实现版本，代码写的很棒，但是对于cvxopt库了解不多，后面如果有机会希望重写一下这个算法，相信会加深理解的。
采用slearn实现svm
dataset：lonosphere_dataset.txt
author：crazicoco
"""
from sklearn.svm import SVC
# sklearn.preprocessing 提供三种数据标准化的处理方式，... | crazicoco/ML-basic-algorithm | Soft-margin kernel SVM/main.py | main.py | py | 2,464 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sklear... |
21870447900 | import sqlite3
import time
import httplib2
import os
import sys
from apiclient.discovery import build
from apiclient.errors import HttpError
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Storage
from oauth2client.tools import argparser, run_flow
###############################... | penroff4/yt_tumblr_automation | ytdb_tools.py | ytdb_tools.py | py | 13,715 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.strftime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
25185509753 | import yaml
import logging
settings = dict()
log_levels = {
'DEBUG': logging.DEBUG,
'INFO': logging.INFO,
'WARNING': logging.WARNING,
'ERROR': logging.ERROR,
'CRITICAL': logging.CRITICAL,
}
with open("../config.yaml", 'r') as stream:
try:
settings = yaml.safe_load(stream)
sett... | rkaganda/MBTL_NN | src/config.py | config.py | py | 427 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.ERROR"... |
24324612905 | # !/usr/bin/env python
# ! _*_ coding:utf-8 _*_
# @TIME : 2018/12/14 19:26
# @Author : Noob
# @File : basepage.py
"""
Project:基础类BasePage，封装所有页面都公用的方法；
定义open函数，重定义find_element,switch_frame,send_keys等函数；
在初始化方法中定义驱动driver,基本url，title；
WebDriverWait提供了显示等待方式；
"""
from selenium.webdriver.support.ui import WebDrive... | NoobZeng/Selenium | chapter08/page_object/basepage.py | basepage.py | py | 6,383 | python | zh | code | 1 | github-code | 1 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.visibility_of_element_located",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.suppo... |
5856923631 |
from cgitb import html
from keras.models import load_model
from flask import *
from PIL import Image
from sqlalchemy import false, true
from werkzeug.utils import secure_filename
import cv2
import numpy as np
import easyocr
import os
model = load_model('icrecognition.h5')
classes = {
0 : 'No Pain',
1 : 'Pain... | Aqiliman24/icdetection | icrecognitionapp.py | icrecognitionapp.py | py | 2,261 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "keras.models.load_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
40928928603 | import base58
import json
import time
from Crypto.Hash import SHA3_256, SHA3_512, RIPEMD160
from Crypto.Signature import PKCS1_v1_5
from transaction import Transaction, TransactionMerkleTree
from wallet import Wallet
class Block:
def __init__(self, index, transactions, timestamp, previous_hash, nonce=0):
... | BleuHund/BlockChainTest | main.py | main.py | py | 4,775 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "transaction.TransactionMerkleTree",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "Crypto.Hash.SHA3_512.new",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": ... |
2835711998 | from cgi import test
from basicsr.losses.losses import L_color
import torch
from collections import OrderedDict
from os import path as osp
from tqdm import tqdm
from basicsr.archs import build_network
from basicsr.losses import build_loss
from basicsr.metrics import calculate_metric
from basicsr.utils import get_root_... | zheng980629/CUE | basicsr/models/LearnablePrior_model.py | LearnablePrior_model.py | py | 13,065 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "base_model.BaseModel",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "basicsr.archs.build_network",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "basicsr.archs.build_network",
"line_number": 28,
"usage_type": "call"
},
{
"api_... |
665721454 | import json
import cv2
# PDI
from pipeline.PipelinePDI import PipelinePDI
pipelinePDI = PipelinePDI()
date, url_json, image = pipelinePDI.set_input('pdi_mocked.json')
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
cv2.imwrite('noe.jpg', image_rgb)
results = pipelinePDI.detect_offers(url_json, image, date)
with o... | maryane-castro/deploystreamlit | outro/main.py | main.py | py | 669 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pipeline.PipelinePDI.PipelinePDI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "c... |
71052805793 | # -*- coding: utf-8 -*-
import scrapy
import re
import json
from Scrapy_Cnluqiao_V1.items import ScrapyCnluqiaoV1Item
import time
from scrapy.utils import request
from Scrapy_Cnluqiao_V1.start_urls import url1
class CnluqiaoV1Spider(scrapy.Spider):
name = 'cnluqiao_V1'
# allowed_domains = ['123']
# start_... | JevisCHF/Building | Information/Spider/Scrapy_Cnluqiao_V1/Scrapy_Cnluqiao_V1/spiders/cnluqiao_V1.py | cnluqiao_V1.py | py | 3,915 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "Scrapy_Cnluqiao_V1.items.ScrapyCnluqiaoV1Item",
"line_number": 28,
"usage_type": "call"
},
{
"a... |
73100306274 | """
Run a nongaussian Kalman Filter twin experiment with Lorenz-63
"""
# Load modules
import numpy as np
import pickle
import mod_KalmanDA as da
import LorenzModels as LM
import matplotlib.pyplot as plt
import tikzplotlib as tpl
# Options for DA run
n_wind = 25 # Number of DA window... | SnnVL/DynamicalGaussianLognormalReverseLognormalKalmanfilter | run_KF_one.py | run_KF_one.py | py | 13,036 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pickle.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.random.default_rng",
"l... |
72115662114 | from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from account.models import User
from .models import Task
import sweetify
from twilio.rest import Client
import os
import environ
@login_required(log... | Geoslim/eattendance-with-face-recognition | eAttendance/tasks/views.py | views.py | py | 3,637 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "account.models.User",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "models.Task.objects.create",
"line_number": 22,
"usage_type": "call"
},
{
... |
72153307874 | """
Browser (:mod:`pydent.browser`)
=================================
.. versionadded:: 0.1
Browser class created
.. currentmodule:: pydent.browser
Browser class for searching and cacheing results.
"""
import re
from collections import OrderedDict
from difflib import get_close_matches
from pprint import pformat
... | aquariumbio/pydent | pydent/browser.py | browser.py | py | 47,188 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "pydent.exceptions.TridentBaseException",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "pydent.interfaces.QueryInterfaceABC",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pydent.interfaces.QueryInterface",
"line_number": 51,
"usage_t... |
22474648795 | import sys
import torch
import requests
from PIL import Image
from torchvision import transforms
from matplotlib import pyplot as plt
# from models.clipseg import ClipDensePredT
from models.clipseg import CLIPDensePredT
# load model
# model = ClipDensePredT(version="ViT-B/16", reduce_dim=64)
model = CLIPDensePredT... | Unknown-Box/tmp | main.py | main.py | py | 1,877 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "models.clipseg.CLIPDensePredT",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open"... |
6033947324 | from typing import List
"""
Summary: Iterate over the array in a while loop for len(arr) times. Pointer
starts at 0. If element is not zero, move pointer -> one step. Else, pop the
item and append to the end, don't move the pointer, the list shifts left.
---------------------------------------------------------------... | EvgeniiTitov/coding-practice | coding_practice/sample_problems/leet_code/easy/283_move_zeros.py | 283_move_zeros.py | py | 1,979 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 61,
"usage_type": "name"
}
] |
72228016995 | # USAGE
# python opencv-crop.py
# loading image from disk loads as NumPy array
# restate image = NumPy array
# to crop you need to know how opencv slices
# arrays start at 0 so the numbers are not inclusive
# ratio is row:column format
# if you go :, 3 you won't get 3..youll get up to 2
# 0 1 | 2| 3 4 5
# 10 11 |... | dmarcus-wire/opencv | cropping/opencv-crop.py | opencv-crop.py | py | 1,088 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line... |
14936093270 | """Unit tests model_utils functions."""
from remedi import models
import pytest
import torch
def assert_equals(actual, expected, path="actual"):
"""Simple implementation of torch-friendly deep equality."""
assert type(actual) is type(expected), path
if isinstance(actual, torch.Tensor):
assert act... | evandez/REMEDI | tests/test_models.py | test_models.py | py | 1,470 | python | en | code | 91 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "remedi.models.map_to",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "remedi.models",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "pytest.mark.para... |
32099441902 | import cv2
import numpy as np
def find_list_files(pattern_filename, path):
'''
Find list of files following a pattern filename within a path
This returns a list of results, void list [] if items not found
'''
import os,fnmatch
result = []
for root, dirs, files in os.walk(path): # o... | rcolomina/ALOCC_Keras | landsat_data_loader.py | landsat_data_loader.py | py | 2,223 | python | en | code | null | github-code | 1 | [
{
"api_name": "os.walk",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmatch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,... |
74857798754 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import HttpResponse
from .models import Tag, User, Image
from rest_framework import status
from rest_framework.request import Request
import json
from django.views.decorators.http import require_http_methods
import logging
from .utils impo... | muzzafer5/photosapp | backend/restapi/image_views.py | image_views.py | py | 12,613 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.request.Request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.error",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.vali... |
3199037024 | import telebot
from telebot import types
from aiogram.types import ReplyKeyboardRemove, \
ReplyKeyboardMarkup, KeyboardButton, \
InlineKeyboardMarkup, InlineKeyboardButton
import os
import django
from backend import local2 as local
from worker.models import Worker, TGBotCode
os.environ.setdefault('DJANGO_SET... | ScrollPage/Case-In | backend/service.py | service.py | py | 2,103 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.setdefault",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
... |
18112717135 | from Client0 import Client
from Seq1 import Seq
from colorama import Fore, init
init(autoreset=True)
PRACTICE = 2
EXERCISE = 5
print(f"-----| Practice {PRACTICE}, Exercise {EXERCISE} |------")
s1 = Seq()
filename = Seq.get_file2()
s1.read_fasta(filename)
frag1 = s1.strbases[:10]
frag2 = s1.strbases[11:20]
frag... | loreaferreno/2021_2022-PNE-practices | P2 done again/Session 9 - Practice 2/Exercise 6.py | Exercise 6.py | py | 1,319 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "colorama.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "Seq1.Seq",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Seq1.Seq.get_file2",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Seq1.Seq",
"line_number"... |
15149130683 | import subprocess
import os
from unittest import mock
from unittest.mock import patch, Mock
import pytest
import logging
import sys
from src.build_java import build_java
def test_update_path_for_jdk():
original_path = os.environ['PATH']
build_java.update_path_for_jdk('java8')
expected_path = '/usr/lib/j... | ariadne-pereira/projeto | test_build_java.py | test_build_java.py | py | 1,594 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "src.build_java.build_java.update_path_for_jdk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.build_java.build_java",
"line_number": 13,
"usage_type": "name"
},
... |
6383171021 | import matplotlib.pyplot as plt
import numpy as np
import matplotlib.animation
def getPerimeterPoints(targetPoint, S_inverse, angleStep, gateThreshold):
"""
Input:
targetPoint : np.array(shape = (dimX, 1))
S_inverse : np.array(shape = (dimZ, dimZ))
angleStep : float
... | Royzon/2020_staj | madeUpTracking/myHelpers/visualizeHelper.py | visualizeHelper.py | py | 9,581 | python | en | code | null | github-code | 1 | [
{
"api_name": "numpy.pi",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 24... |
35681922206 | import logging
from conftest import Log_path
class LogData:
def getLogger(self):
logger = logging.getLogger(__name__)
logsone = logging.FileHandler(Log_path+"/logfile.log")
formatter = logging.Formatter("%(asctime)s :%(levelname)s :%(name)s :%(message)s")
logsone.setFormatter(forma... | harshalwarkar2020/AmazonApp | LogFeature/LogRecord.py | LogRecord.py | py | 424 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.FileHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "conftest.Log_path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "logging.Formatte... |
41933406706 | import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
import os
import time
from datetime import date, datetime
from datetime import timedelta
def wait_for_downloads(path):
print("Waiting for downloads", end="")
while... | rmmaf/Scraping-Indices-Economicos | scripts/sp500.py | sp500.py | py | 3,190 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17... |
34863895895 | """
create table product (name varchar(20) primary key, price float, qty int)
drop table product # to delete the whole table
insert into product values ('Prod1', 34.56, 23)
select * from product
select * from product where qty > 20
delete from product where qty=0
update product set price=price*1.25 where nam... | MehrdadKianiOsh/Database-API-SQL- | session 3/testSQLite.py | testSQLite.py | py | 1,294 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
}
] |
22453535086 | import os
import json
import io
from wp import wp_database, wp_post_query
from mailing import mailer
WP_DB_CONFIG_FILE_PATH_VAR_KEY = "WP_DB_CONFIG_FILE_PATH"
DEFAULT_WP_DB_CONFIG_FILE_PATH = "resource/wp_db_config.json"
MAIL_CONFIG_FILE_PATH_VAR_KEY = "MAIL_CONFIG_FILE_PATH"
DEFAULT_MAIL_CONFIG_FILE_PATH = "resource... | KEN-00/wp_post_alert | main.py | main.py | py | 2,289 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "wp.wp_database.validate_wp_db_config",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wp.wp_database",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "mailing.mailer.validate_mail_config",
"line_number": 30,
"usage_type": "call"
},
... |
21563575484 | from typing import List
# lapsolver is quite hard to install on Windows. Fortunately, scipy offers a similar, albeit slower, function.
try:
from lapsolver import solve_dense as solver
except ImportError:
from scipy.optimize import linear_sum_assignment as solver
from authentication.models import User
from rep... | Mines-Paristech-Students/Portail-des-eleves | backend/repartitions/algorithm.py | algorithm.py | py | 8,907 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "repartitions.models.UserCampaign",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "repartitions.models.Proposition",
"line_number": 64,
"usage_type": "name"
},
{
"api_... |
70510325155 | from __future__ import absolute_import
import celery
import json
import sys
import time
from collections import OrderedDict
from dateutil import parser
from django.core.cache import cache
from django.core.files.uploadedfile import InMemoryUploadedFile
from django.core.urlresolvers import reverse
from django.test.util... | orcasgit/django-fitbit | fitapp/tests/test_retrieval.py | test_retrieval.py | py | 26,946 | python | en | code | 30 | github-code | 1 | [
{
"api_name": "base.FitappTestBase",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "fitapp.models.TimeSeriesDataType.objects.get",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "fitapp.models.TimeSeriesDataType.objects",
"line_number": 52,
"usage_typ... |
44067529059 | from urllib import request
from urllib.parse import urljoin
from bs4 import BeautifulSoup
from dotFoods.celery import app
from dotFoods import settings
from wikiboto.utils import \
url_name_of, \
url_name_of_cat,\
LINK_FILTERS, \
bs_preprocess, \
can_access
from wikipage.models import \
WikiL... | dotkrnl/dotFoods | wikiboto/tasks.py | tasks.py | py | 3,869 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "wikiboto.models.BotoFinished.objects.filter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "wikiboto.models.BotoFinished.objects",
"line_number": 28,
"u... |
71728359075 | import numpy as np
import matplotlib.pyplot as plt
from pylab import *
from matplotlib.widgets import Slider
import networkx as nx
########## Here we do some introductory stuff with percolation ###########
#update function
def update(val):
GW = G.copy()
for i,j in GW.edges():
if np.random.uniform(0,1) > val:
GW.... | mengsig/percolation | 2DLatticePercolation/bernoulliPercolationNumpy.py | bernoulliPercolationNumpy.py | py | 1,097 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.random.uniform",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "networkx.connected_components",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
4364858639 | from PPlay.gameimage import *
from PPlay.gameobject import *
from PPlay.sprite import *
import pygame
import pickle
class Screen:
def __init__(self, screen, platforms, sprite, keyboard, slime, mouse, font_screen):
self.font_screen = font_screen
self.window = screen
self.platforms = platfor... | lscrispin/lab-jogos | camera.py | camera.py | py | 6,219 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.font.init",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
74541723872 | import pytest
from yarl import URL
async def _get_username(web_client_session, app_url):
"""
Visits /hub/home to get an _xsrf token set to cookies, that we can then
pass as a X-XSRFToken header when accessing /hub/api, then the function
visit /hub/api/user to get the username as recognized by JupyterH... | jupyterhub/tmpauthenticator | tests/test_tmpauthenticator.py | test_tmpauthenticator.py | py | 4,860 | python | en | code | 20 | github-code | 1 | [
{
"api_name": "yarl.URL",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "yarl.URL",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_num... |
16351746211 | import pandas as pd
from sklearn.model_selection import GridSearchCV
from sklearn.svm import SVC
import pickle
from sklearn.metrics import roc_curve
from matplotlib import pyplot
import numpy as np
x_train = pd.read_csv('x_train')
x_valid = pd.read_csv('x_valid')
y_train = pd.read_csv('y_train')
y_valid = pd.read_csv(... | Korge/MLProject | SVM K-Fold.py | SVM K-Fold.py | py | 1,671 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
31793166667 | import requests
from datetime import date, datetime, timedelta
from json import dump
import sys
def datespan(start, end, delta=timedelta(days=1)):
current = start
while current < end:
yield current
current += delta
with open(sys.argv[1], 'w') as file:
for dates in datespa... | ktshakhova/cloud_lab2 | get_course.py | get_course.py | py | 885 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
5254686523 | import cirq
def balanced(qubits):
circuit = cirq.Circuit()
for i in range(3):
circuit.append(cirq.CNOT(qubits[i], qubits[3]))
return circuit
def constant(qubits):
circuit = cirq.Circuit()
circuit.append(cirq.X(qubits[3]))
return circuit
def run(gate):
circuit = cirq.Circuit... | robertGGA/qubit | home2.py | home2.py | py | 789 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cirq.Circuit",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cirq.CNOT",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cirq.Circuit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cirq.X",
"line_number": 13,
... |
28228601843 | from flask import Flask
from flask import render_template
from os import environ
import Function
import requests
app = Flask(__name__)
# key=43a462f629d817bf91ca4bb95f9cd7b3
@app.route('/')
def hello_world():
return render_template(
'Search.html'
)
#192.168.191.1:8080
if __name__ == '__ma... | hetianle/AmapApplication | AMapApplication/Main.py | Main.py | py | 536 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"lin... |
14844254155 | import logging
from PyQt5.QtCore import QObject, pyqtSignal
import ClientTools
import zlib
import serial
import base64
scanner = None
logger = logging.getLogger()
class ScannerSignalHandler(QObject):
barcode_result = pyqtSignal(str)
scanner_signal_handler = ScannerSignalHandler()
def get_scanner():
if sc... | B9527/pyqt_project | device/Scanner.py | Scanner.py | py | 2,225 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "serial.... |
8027393171 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''This module contains functions to perform operations on collections of FITS
files.
'''
#############
## LOGGING ##
#############
import logging
from fitsbits import log_sub, log_fmt, log_date_fmt
DEBUG = False
if DEBUG:
level = logging.DEBUG
else:
level = lo... | waqasbhatti/fitsbits | fitsbits/files.py | files.py | py | 33,561 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.basicC... |
46251647661 | from ...utils.exceptions import ArgumentException, AuthenticationException
class SendUserRecoveryService:
def __init__(self, user_repository, email_factory, email_sender, token_generator):
self.user_repository = user_repository
self.email_factory = email_factory
self.email_sender = email_... | agarciavallejo/buitre | app/services/user/sendUserRecoveryService.py | sendUserRecoveryService.py | py | 885 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "utils.exceptions.ArgumentException",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.exceptions.AuthenticationException",
"line_number": 20,
"usage_type": "call"
}
] |
74539033312 | """Execution and managing kernels."""
import os
import warnings
from logging import Logger
from pathlib import Path
import nbconvert
from docutils.parsers.rst import Directive, directives
from nbconvert.preprocessors import ExtractOutputPreprocessor
from nbconvert.writers import FilesWriter
from sphinx.errors import ... | jupyter/jupyter-sphinx | jupyter_sphinx/execute.py | execute.py | py | 11,919 | python | en | code | 173 | github-code | 1 | [
{
"api_name": "nbconvert.version_info",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "traitlets.version_info",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.Logger",
"line_number": 25,
"usage_type": "name"
},
{
"api_name":... |
28646283616 | '''
SCRIPT: ReadStoichiometry
@Authors:
Alberto Cuoci [1]
[1]: CRECK Modeling Lab, Department of Chemistry, Materials, and Chemical Engineering, Politecnico di Milano
@Contacts:
alberto.cuoci@polimi.it
@Additional notes:
This code is distributed in the hope that it will be useful, but WITHOUT ANY WARRAN... | acuoci/PyTools4OpenSMOKEpp | examples/ReadStoichiometry.py | ReadStoichiometry.py | py | 11,438 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_na... |
23707946723 | import random
import sys
import numpy as np
from tqdm import tqdm
import cv2
import os
from skimage.util import random_noise
from skimage import img_as_ubyte
def __augment(img):
options = [
'gaussian',
'poisson',
's&p',
]
option = random.choice(options)
noise_img = (random_no... | nielsRocholl/pr-assignment-2 | task_1/big_cats/pipeline_modules/feature_extraction.py | feature_extraction.py | py | 2,555 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.choice",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "skimage.util.random_noise",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "skimage.img_as_ubyte",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.ar... |
25053880076 | # https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/
from typing import List
"""
Time O(n)
Space O(1)
"""
class Solution:
def maxProfit(self, prices: List[int]) -> int:
prices_length= len(prices)
max_profit=0
for i in range(1, prices_length):
if prices[i] > pric... | snk95/Sarvesh-Code | Leetcode/Arrays/Best_Time_to_Buy_Sell_Stock_II.py | Best_Time_to_Buy_Sell_Stock_II.py | py | 422 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
22526657259 | import logging
import os
DEFAULT_LOGGING_LEVEL = os.environ.get("LOGGING_LEVEL", "INFO")
class Logging:
"""
Singleton for logging.
This eases the retrieval of loggers with a uniform format for all the library.
"""
def __init__(self, level=DEFAULT_LOGGING_LEVEL):
self._level = level
... | cryptonglab/poktbot | poktbot/log/poktbot_logging.py | poktbot_logging.py | py | 1,565 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.Formatter"... |
26062127123 | import numpy as np
import pandas as pd
from scipy.sparse.linalg import svds
from scipy.sparse import csc_matrix
users=pd.read_json("data/customers.json")
users.columns = ["user_id",'username']
products=pd.read_json("data/products.json")
products.columns = ["product_id","product_name","price"]
ratings=pd.read_json("d... | TranHap/SheCodes-Recommendation-System | mf.py | mf.py | py | 2,005 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_json",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.csc_mat... |
42891539155 | from django.urls import path
from .views import DashboardView, ProfileView, SettingView, ReportHistoryView
app_name = "doctor"
urlpatterns = [
path('doctor/dashboard/', DashboardView, name="dashboard"),
path('doctor/report/history/', ReportHistoryView, name="report-history"),
path('doctor/profile/', Pr... | Zarar-Anwar/glucoma_detect | doctor/urls.py | urls.py | py | 429 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.DashboardView",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.ReportH... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.