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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10478855527 | from PIL import Image as im
o = im.open('cave.jpg')
# Open two new images of the same size.
n1 = im.new(o.mode,o.size)
n2 = im.new(o.mode,o.size)
# Grab the x and y maximum coords of the original
xmax, ymax = o.size[0], o.size[1]
# Iterate over ever pixel in the image, and decide if the product of the
# coordinates... | nancejk/PythonChallenge | 11.py | 11.py | py | 653 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 5,... |
74536701223 | from django.shortcuts import render
from .forms import DataFrameForm
from main.utils import ContractAlternatives
import pandas as pd
from .utils import convert_date_format
# Create your views here.
def homepage(request):
return render(request, 'main/homepage.html')
def calculo_rapido(request):
if request.m... | cmichellbs/sistema | main/views.py | views.py | py | 1,430 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "forms.DataFrameForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "main.utils.ContractAlternatives",
"line_number": 25,
"usage_type": "call"
},
{
"api_n... |
25323402636 | import json
import pandas as pd
from django.conf import settings
from django.http.response import JsonResponse
from django_celery_results.models import TaskResult
from rest_framework import mixins, viewsets
from rest_framework.decorators import action
from rest_framework.exceptions import NotFound, PermissionDenied
fr... | mateusz28011/ml-api | ml/views.py | views.py | py | 4,070 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rest_framework.mixins.RetrieveModelMixin",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.mixins",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 25,
"usage_type... |
21141929383 | import socket
import time
from threading import Thread
from cryptography.fernet import Fernet
socket = socket.socket()
socket.bind(('', 9885))
socket.listen(50)
clients = []
try:
key = open("key.txt", "r", encoding="utf-8")
except FileNotFoundError:
key = Fernet.generate_key()
open("key.txt", "w", encodin... | miniusercoder/irc | server.py | server.py | py | 2,119 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "socket.socket",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "socket.bind",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.listen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet.gener... |
74133895143 | from django.urls import path
from . import views
app_name = 'mainapp'
urlpatterns = [
path('',views.mainpage,name='main-page'),
path('book_detail/<int:pk>',views.bookdetailpage,name='book-detail'),
path('author_detail/<int:pk>',views.authordetailpage,name='author-detail'),
path('book_list/',views.book... | Chouaib-Djerdi/Fennec-Bookstore | backend/bookstore/mainapp/urls.py | urls.py | py | 962 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
15891318383 | import json
import asyncio
from aioredis import Channel
from websockets import WebSocketCommonProtocol
from app.queue.pubsub import ConsumerHandler, ProducerHandler
from app.queue.redis import queue_conn_sub, queue_conn_pub
CONNECTED = set()
async def web_socket_chat(_, websocket: WebSocketCommonProtocol):
CON... | Arthur264/music-new.chat | app/websockets.py | websockets.py | py | 1,155 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "websockets.WebSocketCommonProtocol",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aioredis.Channel",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "app.qu... |
34106559298 | __author__ = 'Shuo Yu'
import pymysql
import glob
import h5py
import numpy as np
def db_connect():
return pymysql.connect(host="127.0.0.1",
user="shuoyu",
passwd="qoowpyep",
db="silverlink",
charset='utf8',... | Platinays/SilverLinkResearch | parse.py | parse.py | py | 4,222 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymysql.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 106... |
13996961200 | from numpy import zeros
from dividexp import db
from dividexp.models import Users, Teams, Trips, Expenses
from math import fabs
from datetime import datetime
class TripManager:
def __init__(self):
self.id = 0
self.users_ids = {}
self.size = 1
self.expenses = []
self.team = ... | veronika-suprunovich/dividexp | dividexp/manager.py | manager.py | py | 8,591 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dividexp.models.Trips.query.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dividexp.models.Trips.query",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "dividexp.models.Trips",
"line_number": 27,
"usage_type": "name"
},
{... |
3512694431 | import discord
import responses
import pymongo
import datetime
client = pymongo.MongoClient("mongodb+srv://discordroll:check@discordroll.ej9jzg7.mongodb.net/?retryWrites=true&w=majority")
db = client.users
print(db)
async def send_message(message, user_message, is_private):
try:
time = datetime.datetime... | Tadjikistan/Proekt_2023_VG | Discord_bot/bot.py | bot.py | py | 2,257 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re... |
71700208104 |
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('fitness', views.fitness, name='fitness'),
path('barbells', views.barbells, name='barbells'),
path('dumbbells', views.dumbbells, name='dumbbells'),
path('cart', views.cart, name='cart'),
pa... | fravila08/fitness_store | ecom_app/urls.py | urls.py | py | 366 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
38040183892 | import numpy as np
import argparse
import cv2
import colorsys # 提取图片中主要颜色
from PIL import Image # python imaging library,已经是python平台事实上的图像处理标准库
import numpy as np
from skimage import draw
image = cv2.imread('F:\\maomi\\0.png')
def color_Handle():
color = [
# 黄色范围~这个是我自己试验的范围，可根据实际情况自行调整~注意... | MrLeedom/colorRecognition | test1/test4.py | test4.py | py | 4,153 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.inRange",
"line_number": 2... |
28068849012 | # 거리두기 확인하기
# https://programmers.co.kr/learn/courses/30/lessons/81302
from collections import deque
def bfs(place, x, y):
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
queue = deque()
queue.append((x, y))
# 큐가 빌 때까지 반복
while queue:
x, y = queue.popleft()
# 현재 위치에서 4가지 방향으로의 위치 확인
... | hwanginbeom/algorithm_study | 2.algorithm_test/21.07.25/21.07.25_wooseok.py | 21.07.25_wooseok.py | py | 2,440 | python | ko | code | 3 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 10,
"usage_type": "call"
}
] |
8786955819 | from .fund import Fund
import glob
import re
import csv
import datetime
class FundLog:
@classmethod
def list_ids(self):
result = []
for i in glob.glob("fundlog-*.csv"):
m = re.match('fundlog-(\S+)\.csv', i)
result.append(m.groups()[0])
return result
def __i... | t-bucchi/accagg | accagg/fundlog.py | fundlog.py | py | 1,641 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number... |
11751989424 | import logging
import jwt
from django.conf import settings
from django.contrib.auth import login
from django.views.generic import TemplateView
from expirybot.apps.blacklist.models import EmailAddress
from ..forms import MonitorEmailAddressForm
from ..models import EmailAddressOwnershipProof, UserProfile
from ..uti... | fawkesley/expirybot-web | expirybot/apps/users/views/add_email_address_view.py | add_email_address_view.py | py | 4,351 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "forms.MonitorEmailAddressForm",
"line_number": 59,
"usage_type": "call"
},
{
... |
10189099421 | import pytest
from auroraapi.interpret import Interpret
class TestInterpret(object):
def test_create_no_arguments(self):
with pytest.raises(TypeError):
Interpret()
def test_create_wrong_type(self):
with pytest.raises(TypeError):
Interpret("test")
def test_create(self):
d = { "intent": "test", "entit... | auroraapi/aurora-python | tests/test_interpret.py | test_interpret.py | py | 646 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "pytest.raises",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "auroraapi.interpret.Interpret",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "auroraapi.int... |
26383114619 | from typing import Protocol
import numpy as np
from sklearn.metrics import f1_score, accuracy_score, balanced_accuracy_score
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.svm import LinearSVC
from sklearn.dummy import DummyC... | jarsba/gradu | scripts/base_clf.py | base_clf.py | py | 2,198 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Protocol",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sklearn.dummy.DummyClassifier",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "skle... |
26358980006 | #!/usr/bin/env python
import base64
import logging
import os
import sys
import toml
from prometheus_client import CollectorRegistry, Gauge, push_to_gateway
from prometheus_client.exposition import basic_auth_handler
from git_metrics import SaasGitMetrics, SaasConfigReadError, GitCommandError
from gql import GqlApi
i... | app-sre/push-saas-metrics | push-saas-metrics.py | push-saas-metrics.py | py | 4,496 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line... |
993280779 | #! /usr/bin/python3
import logging
from binascii import hexlify
from struct import unpack
from time import strftime
from collections import OrderedDict
from . import commands_helpers, attributes_helpers
from .parameters import *
from .conversions import zgt_encode, zgt_decode, zgt_checksum, zgt_decode_struct
from .resp... | elric91/ZiGate | pyzigate/interface.py | interface.py | py | 28,853 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "conversions.zgt_decode",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "binascii.hexlify",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.strfti... |
854328737 | #!/usr/bin/env python
"""Groot Object Protection Report for python"""
from pyhesity import *
from fnmatch import fnmatch
import psycopg2
from datetime import datetime
import codecs
import smtplib
from email.mime.multipart import MIMEMultipart
from email.MIMEBase import MIMEBase
from email import Encoders
# command lin... | bseltz-cohesity/scripts | groot/python/grootSoxReport/grootSoxReport.py | grootSoxReport.py | py | 5,406 | python | en | code | 85 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "datet... |
73326550503 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#Python爬虫初探
from urllib import request
import chardet #检测html编码方式的模块
if __name__ == '__main__':
response = request.urlopen("http://www.baidu.com")
html = response.read()
htmlCharset = chardet.detect(html) #会得到一个字典 类似{'encoding': 'utf-8', 'confidence': 0.9... | BobXGY/PythonStudy | python_weather_spider/pc0.py | pc0.py | py | 482 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "chardet.detect",
"line_number": 12,
"usage_type": "call"
}
] |
8606037106 | from bson.objectid import ObjectId
from bson.json_util import dumps
from json import loads
from mongoengine import Document
from serializers.common_serializer import default
from common.common_module import parse_pages
from common.mongodb_module import build_lookup_filter
def get_all_generic(model: any, mongo_filter... | carlos-herrera-cervantes/todo-api-python-sanic | source/repositories/base_repository.py | base_repository.py | py | 2,688 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "common.common_module.parse_pages",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.mongodb... |
16217747254 | from jinja2 import Environment, FileSystemLoader
from os import walk
from shutil import copytree, rmtree, ignore_patterns
try: rmtree("./build")
except Exception as e: print("Creating build folder", e, "Occured")
copytree("./", "./build", ignore=ignore_patterns('*.py', "templates", "*.git"))
ENV = Environment(loade... | Just-Moh-it/assignment-nerd | compiler.py | compiler.py | py | 773 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "shutil.rmtree",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "shutil.copytree",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "shutil.ignore_patterns",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment"... |
74962642022 | import tensorflow as tf
import numpy as np
import keras
import librosa
import os
# Indexes for the model:
# 0: Benjamin
# 1: Stromberg
# 2: Julia
# 3: Margaret
# 4: Nelson
model_path = "E:\\Python_Projects\\StrombergAI\\src\\speaker_recognition\\model\\stromberg-recognizer-model.keras"
def audio_to_fft(audio):
# ... | TheItCrOw/Ask-Stromberg | src/speaker_recognition/test.py | test.py | py | 3,461 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.squeeze",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.signal.fft",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.signal",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tenso... |
1155657087 | from django.http import HttpResponseNotFound, JsonResponse
from django.shortcuts import get_object_or_404, render, redirect
from django.contrib.auth.decorators import login_required
from django.views.generic import CreateView, UpdateView, DeleteView, ListView, DetailView
from datetime import datetime,timedelta
from dja... | AndoniWadgymar/greenbin | greenbin/trash/views.py | views.py | py | 6,306 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "trash.models.Trash.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "trash.models.Trash.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "trash.models.Trash",
"line_number": 19,
"usage_type": "name"
},
{
... |
16789541655 | #Online Gradient Descent
import numpy as np
from random import *
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
#Formatting content.......
print("Reading data.............")
def read_file(filename):
with open(filename) as f:
f.readline()
f.readline()
f.readline()
... | ManishaNatarajan/Online-Learning | log_reg.py | log_reg.py | py | 9,140 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_... |
33635193286 | import sys
import pypyodbc
from PyQt5.QtWidgets import *#QApplication, QMainWindow,QDialog,QMessageBox
from PyQt5 import uic
from PyQt5.QtGui import QIcon
import time
import random
from tkinter import *
from PyQt5.QtCore import pyqtSlot
class Elim(QDialog):
def __init__(self):
# lista=[["Dt1234","Jose","... | whitoutpieces/Unknow | Creatabla.py | Creatabla.py | py | 2,633 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pypyodbc.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.randint",
"lin... |
35515269259 | import argparse
import matplotlib.pyplot as plt
import numpy as np
from textwrap import wrap
def moving_avg_filter(data_arr, w):
data_arr_cumsum = np.cumsum(data_arr)
data_arr_cumsum[w:] = (data_arr_cumsum[w:] - data_arr_cumsum[:-w])
data_arr_filtered = data_arr_cumsum[w-1:]/w
return data_arr_filt... | onermustafaumit/MLNM | gland_segmentation/mask_rcnn/plot_valid_metrics.py | plot_valid_metrics.py | py | 2,635 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "numpy.cumsum",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.s... |
13909904792 | """Module with lagrangian decomposition methods."""
# Python packages
import gurobipy
import logging as log
import pandas as pd
import copy
# Package modules
from firedecomp.classes import solution
from firedecomp import config
from firedecomp.AL import ARPP
# Subproblem ---------------------------------------------... | jorgerodriguezveiga/firedecomp | firedecomp/AL/ADPP.py | ADPP.py | py | 13,091 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "firedecomp.AL.ARPP.RelaxedPrimalProblem",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "firedecomp.AL.ARPP",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "gurobipy.Model",
"line_number": 54,
"usage_type": "call"
},
{
"ap... |
19257210633 | import pytest
from app import create_app
from app.models import TaskEntity
from app.services import tasks
@pytest.fixture()
def client():
app = create_app()
app.config.update(
{
'TESTING': True,
}
)
yield app.test_client()
tasks.clear()
TaskEntity.reset_id()
| macoyshev/to_Do_list | tests/app/conftest.py | conftest.py | py | 316 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.create_app",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.config.update",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.test_client",
... |
27102810736 | # -*- coding: utf-8 -*-
from django import forms
from django.utils.translation import ugettext_lazy as _
from .models import Pedido
class PedidoForm(forms.ModelForm):
class Meta:
model = Pedido
fields = ('descripcion', 'fecha', 'proveedor', 'usuario','total',)
labels = {
'descri... | IvanVilla1585/RefrescosChupiFlum | ChupiFlum/pedido/forms.py | forms.py | py | 1,012 | python | es | code | 1 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Pedido",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.utils.tran... |
36687194652 | from osgeo import gdal, gdal_array
import numpy as np
# "Before" image
im1 = "D:\\Python36\\testdata\\before.tif"
# "After" image
im2 = "D:\\Python36\\testdata\\after.tif"
#Output image name
output = "D:\\Python36\\testdata\\change.tif"
# Load before and after into arrays
ar1 = gdal_array.LoadFile(im1).astyp... | Jinunmeng/Python-ImageProcess | change_detection.py | change_detection.py | py | 1,207 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "osgeo.gdal_array.LoadFile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "osgeo.gdal_array",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.int8",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "osgeo.gdal... |
14812101209 | import numpy as np
import matplotlib.pyplot as plt
import os
n = 100
A = 10
x = np.linspace(0, np.pi, 100) # задаём отрезок
fx = (-np.sin(x)*((np.sin((x**2)/np.pi))**(2*A)))
# создание папки для текстовика
try:
os.mkdir('results')
except OSError:
pass
complete_file = os.path.join('results', 'task_01_307B_... | AlexPogudin/wor1 | Pogudin_16_PY.py | Pogudin_16_PY.py | py | 784 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 7,
... |
74752000104 | import unittest
from unittest.mock import patch, MagicMock, call, DEFAULT
from requests.exceptions import ConnectionError
from lib.marcParse import (
parseMARC,
transformMARC,
extractAgentValue,
extractHoldingsLinks,
extractSubjects,
extractSubfieldValue,
parseHoldingURI
)
from lib.dataMode... | NYPL/sfr-ingest-pipeline | lambda/sfr-doab-reader/tests/test_marc.py | test_marc.py | py | 10,255 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "lib.marcParse.parseMARC",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "unittest.mock.patch",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "un... |
29875713843 | # Copyright (c) 2023 Dawn
# Operations Research Calculator is licensed under Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
# http://license.coscl.org.cn/MulanPSL2
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" B... | Dawn-of-Time/Operations-Research-Calculator | UI/Animation/indexAnimation.py | indexAnimation.py | py | 3,489 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt6.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PyQt6.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QLabel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "P... |
42830439112 | import requests
from requests import utils
session = requests.session()
number_list = []
for i in range(1,6):
headers = {
'Host':'match.yuanrenxue.com',
'Connection':'keep-alive',
'Content-Length':'0',
'Pragma':'no-cache',
'Cache-Control':'no-cache',
'sec-ch-ua':'" ... | zqtz/yuanrenxue | exam03/exam03.py | exam03.py | py | 1,631 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.session",
"line_number": 3,
"usage_type": "call"
}
] |
45138682316 | from flask import Flask, send_from_directory
from flask_sqlalchemy import SQLAlchemy
import os
app = Flask(__name__, static_folder='./build/static')
app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0
'''
db = SQLAlchemy(app)
class User(db.Model):
__tablename__ = 'user'
token_id = db.Column(db.String(255), prim... | hb275/DPP_Agency | app.py | app.py | py | 2,006 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.send_from_directory",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_... |
24912437981 | # -*- coding: utf-8 -*-
__author__ = 'neo'
import json
import tornado.web
from common.mongo_utils import *
from common.api_tagdef import *
from common.iot_msg import *
from OpenAPI_server.http_utils import http_client_pool, http_client_post
from common.eventno import *
from common.iot_procdef import *
from OpenAPI_se... | ennismar/python | OpenAPI/OpenAPI_server/camera_proc.py | camera_proc.py | py | 15,655 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "common.settings.PORTAL_API_URL",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "common.iot_request_handler.IotRequestHandler",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "common.auth_utils.resource_auth",
"line_number": 34,
"usage_t... |
12381823391 | from captcha.image import ImageCaptcha
import os
import random
import string
import asyncio
import re
import datetime
import discord
from discord.ext import commands
def randomStr(n=5):
randlst = [random.choice(string.digits + string.ascii_lowercase + string.ascii_uppercase) for i in range(n)]
return ''.join... | PriestessSakuraka/discord.py-captcha-bot | bot.py | bot.py | py | 3,460 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string.digits",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "string.a... |
26304669003 | import sys
import pandas as pd
from sqlalchemy import create_engine
import copy
def split_categories_columns(df):
row = df['categories'][0]
categories_column_names = row.split(';')
categories_column_names= [category.split('-')[0] for category in categories_column_names]
rename_dict = {}
for inde... | chrapkus/disaster_repository_project | scripts/process_data.py | process_data.py | py | 3,803 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "copy.deepcopy",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"... |
42925904616 | import logging
import os
import shutil
from typing import List
import numpy as np
import pandas as pd
import pysam
from hmnfusion import bed as ibed
from hmnfusion import graph, region
# Helper functions
def cigar2position(cigars: List[List[int]], start: int) -> dict:
"""Construct from a cigar and a position, a ... | guillaume-gricourt/HmnFusion | src/hmnfusion/quantification.py | quantification.py | py | 8,947 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "hmnfusion.bed.Bed",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "hmnfusion.bed",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "hmnfusion.graph.Grap... |
27770016752 | import numpy as np
from sklearn.impute import SimpleImputer
X=[[np.nan,2,3],[4,np.nan,6],[10,np.nan,9]]
imputer = SimpleImputer(missing_values=np.nan,strategy='mean')
# allowed_strategies = ["mean", "median", "most_frequent", "constant"]
xx= imputer.fit_transform(X)
print(xx)
from sklearn.impute import KNNImputer
X =... | kshsky/PycharmProjects | ml-case/01-集装箱危险品瞒报预测/fillna_from_knn.py | fillna_from_knn.py | py | 459 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.nan",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sklearn.impute.SimpleImputer",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
... |
12427518361 | from setuptools import setup, find_packages
pkg_vars = {}
setup(
name='croneval',
description='cron schedule expression evaluator',
author='Selçuk Karakayalı',
author_email='skarakayali@gmail.com',
maintainer='Selçuk Karakayalı',
url='http://github.com/karakays/croneval/',
packages=find_... | karakays/croneval | setup.py | setup.py | py | 575 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
17795545171 | # Definition for a binary tree node.
from typing import List
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def inorderTraversal(self, root: TreeNode) -> List[int]:
ans = []
stack = []
current = root
... | fastso/learning-python | leetcode_cn/solved/pg_94.py | pg_94.py | py | 578 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
}
] |
29889532379 | # coding: utf-8
import requests
import json
def fetch_weather(location):
result = requests.get(
'https://api.seniverse.com/v3/weather/now.json',
params={
'key': 'glgqeom9bcm7swqq',
'location': location,
'language': 'zh-Hans',
'unit': 'c'
},
... | AIHackerTest/Leon-Huang_Py101-004 | Chap2/project/weather-api-mvp.py | weather-api-mvp.py | py | 803 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
}
] |
16776613582 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
with io.open(os.path.join(here, 'README.md'), encoding='utf-8') a... | Inokinoki/django-multiplefilefield | setup.py | setup.py | py | 1,482 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_numb... |
26739483197 | from youtube_dl import YoutubeDL
import re
yt_regex = re.compile(r"^((?:https?:)?\/\/)?((?:www|m)\.)?((?:youtube\.com|youtu.be))(\/(?:[\w\-]+\?v=|embed\/|v\/)?)([\w\-]+)(\S+)?$")
ytdlopts = {
'outtmpl': './downloads/%(id)s-%(title)s.%(ext)s',
'restrictfilenames': True,
'noplaylist': False,
'nocheckcer... | ArpitKhandelwal-developer/Yt-Download | main.py | main.py | py | 1,649 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "youtube_dl.YoutubeDL",
"line_number": 24,
"usage_type": "call"
}
] |
42324347897 | """
使用模型性能评价指标
"""
from deepepochs import Trainer, rename, metrics as dm
import torch
from torch import nn
from torch.nn import functional as F
from torchvision.datasets import MNIST
from torchvision import transforms
from torch.utils.data import DataLoader, random_split
# datasets
data_dir = './datasets'
transform =... | hitlic/deepepochs | examples/3-metrics.py | 3-metrics.py | py | 2,620 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 15,
"usage_type": "call"
},
{
... |
39169556179 | from PIL import Image
def convertToSeamless(originalImg, outputPath):
imgH, imgW = originalImg.size
dim = imgW
if imgW > imgH:
dim = imgH
tempImg = originalImg.crop((0, 0, dim, dim))
seamlessImg = Image.new("RGB", (dim * 2, dim * 2), "white")
seamlessImg.paste(tempImg, (0, 0))
tempI... | Ktlas/Seamless-Noise-Generator | ConvertToSeamless.py | ConvertToSeamless.py | py | 644 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.new",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.Image.FLIP_LEFT_RIGHT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
... |
37979061712 | import csv
import random
import sqlite3
import sys
from PyQt5 import QtWidgets, QtGui
from PyQt5.QtWidgets import QWidget, QApplication, QTextEdit, QScrollArea, QPushButton
from StatistikWidjet_form import Ui_Statistic
import datetime as dt
from CONST import NOTES_DB, STATISTIC_DB, ARITHMETIC_DB, FUNNY_TEXTS
class... | samsadlonka/yandex_lyceum_qt_project | Statistic.py | Statistic.py | py | 5,184 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "StatistikWidjet_form.Ui_Statistic",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
495364467 | import contextlib
import datetime
import errno
import inspect
import multiprocessing
import os
import re
import signal
import subprocess
import sys
import tempfile
import threading
from collections import namedtuple
from enum import Enum
import yaml
from six.moves import configparser
from dagster import check
from da... | helloworld/continuous-dagster | deploy/dagster_modules/dagster/dagster/utils/__init__.py | __init__.py | py | 9,956 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
},
{
"a... |
11424600276 | import abc
import datetime
import logging
import multiprocessing
import signal
import socket
import threading
import six
import edera.helpers
from edera.consumers import InterProcessConsumer
from edera.flags import InterProcessFlag
from edera.flags import InterThreadFlag
from edera.helpers import Sasha
from edera.he... | thoughteer/edera | edera/daemon/daemon.py | daemon.py | py | 10,308 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "datetime.timedelta",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "edera.consumers.InterProcessConsumer",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "edera.workflow.builder.WorkflowBuilder",
"line_number": 108,
"usage_type": "call"... |
29618692349 | from datetime import datetime, timedelta
from flask import Blueprint, send_from_directory, jsonify, request, session, redirect, url_for
from playhouse.shortcuts import dict_to_model, model_to_dict
from app.model import QueryType
from app.model import Product, ProductRegion, ProductCategory, ProductImage
from app.mode... | revectores/online-shopping-simulator | src/app/handler/product/product.py | product.py | py | 3,502 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"l... |
17411563971 | # import os
# os.environ["NUMBA_ENABLE_CUDASIM"] = "1" dont do this ...
import numpy as np
from numba import cuda
from numba.core.errors import NumbaPerformanceWarning
import warnings
warnings.simplefilter('ignore', category=NumbaPerformanceWarning)
import gc
import time
import threading
cuda.select_device(0)
# con... | Mherder89/PythonLCDSlicer | LCD_slicer.py | LCD_slicer.py | py | 6,432 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.simplefilter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numba.core.errors.NumbaPerformanceWarning",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numba.cuda.select_device",
"line_number": 13,
"usage_type": "call"
},
{... |
74260921062 | import numpy as np
from nuscenes import NuScenes
from typing import Dict, List, Set
from pathlib import Path
import pickle
from tqdm import tqdm
import json
import copy
import argparse
from easydict import EasyDict
import yaml
from nuscenes.eval.detection.config import config_factory
from ..dataset import DatasetTemp... | quan-dao/practical-collab-perception | pcdet/datasets/v2x_sim/v2x_sim_dataset_rsu.py | v2x_sim_dataset_rsu.py | py | 13,285 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "dataset.DatasetTemplate",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"l... |
3640824514 | import math
from typing import List
import flair
import torch
import torch.nn as nn
import torch.nn.functional as F
from .data import tokenize, tokenize_batch
from .two_hot_encoding import NGramsEmbedding
class RNNModel(nn.Module):
"""Container module with an encoder, a recurrent module, and a decoder."""
... | HallerPatrick/two_hot_encoding | multihot/model.py | model.py | py | 17,797 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "two_hot_encoding.NGramsEmbedding",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.... |
3469842733 | import discord
client = discord.Client()
@client.event
async def on_ready():
print('We have logged in as {0.user}'.format(client))
for guild in client.guilds:
for channel in guild.channels:
print(channel, channel.id)
while True:
channel = client.get_channel(int(input("Entrez l'... | antoinech2/DiscordMessageLogBot | bot.py | bot.py | py | 789 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.Client",
"line_number": 3,
"usage_type": "call"
}
] |
25619711613 | # importing necessary libraries
import numpy as np
from scipy import linalg
import pickle
import sys
import getopt
# defining a function to run the Randomized Kaczmarz (RK) algorithm
def run_RK(A, E, F, b, e, n_run, n_iter, eta, sigma_A, sigma_b, folder):
"""
The arguments for the run_RK() function are th... | SoumiaBouch/doubly_Noisy_Randomized_Kaczmarz | RK_multiplicative_noise.py | RK_multiplicative_noise.py | py | 7,176 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.linalg.multi_dot",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.identity",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.... |
25547237634 | from django.db import models
class Sauceproduct(models.Model):
sauces = models.ForeignKey(
'sauce.Sauce', on_delete=models.SET_NULL, null=True, blank=True)
product = models.ForeignKey(
'products.Product', on_delete=models.SET_NULL, null=True, blank=True)
description = models.CharField(max_... | Jeffer-UAO/backend-menuinteractivo | saucesproduct/models.py | models.py | py | 464 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": ... |
37371783451 | # Send a heartbeat every 5 minutes to Slack
# This uses the slack-cli library: https://github.com/rockymadden/slack-cli
from requests import get
import time
import subprocess
import json
import datetime
def get_date_time():
return str(datetime.datetime.now())
def send_slack():
try:
query = ["../../sla... | Kladdy/pi-python | heartbeat/heartbeat.py | heartbeat.py | py | 2,175 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
73518710823 | import sys
import socket
import time
from variables import ACTION, PRESENCE, TIME, USER, ACCOUNT_NAME, RESPONSE
from utils import port_check, addres, get_message, send_message
def create_presence(name: str = 'Guest'):
message = {
ACTION: PRESENCE,
TIME: time.time(),
USER: {
ACC... | Kederly84/async_chat_python | HomeWork4/client.py | client.py | py | 1,068 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "variables.ACTION",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "variables.TIME",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "variables.USER",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "variables.PRESENCE",
... |
37529358270 | # Clase en vídeo: https://youtu.be/_y9qQZXE24A?t=12475
### Products API ###
from fastapi import APIRouter
router = APIRouter(prefix="/products",
tags=["products"],
responses={404: {"message": "No encontrado"}})
products_list = ["Producto 1", "Producto 2",
"Prod... | mouredev/Hello-Python | Backend/FastAPI/routers/products.py | products.py | py | 505 | python | es | code | 17,209 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 7,
"usage_type": "call"
}
] |
72854617705 | import gzip
import json
import networkx as nx
def writeobj(filename, obj):
with gzip.open(filename, 'wb') as f:
f.write(json.dumps(obj, indent=4))
def readobj(filename):
with gzip.open(filename, 'r') as f:
return json.loads(f.read())
def mkdict(obj, key='id'):
return dict((x[key], x) fo... | maksim2042/PyCon2013_SNA | src/govtrack/net.py | net.py | py | 1,002 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "gzip.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
... |
9262854569 | import time, yaml
from operator import itemgetter
from .keys import *
from .helpers import *
def flags_compile(flags):
first = flags[0]
faction = {
"id": f"compile_flags_{len(flags)}",
"do": "flags",
"from": first["from"],
"flags": flags,
}
return faction
class ActionT... | TheSwanFactory/cqml | src/cqml/vm.py | vm.py | py | 5,297 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.perf_counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"l... |
40370154292 | import pyautogui
import socket
import logging
#import sys
import threading
import time
#todo: might need refactoring
def log(msg):
#will always get a reference to an existing logger
#with the name indicated
logger=logging.getLogger("log")
logger.info(msg)
class MySocket(object):
def __init__(self... | gpuma/karu | karu-server/prueba.py | prueba.py | py | 3,327 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREA... |
9020601076 | import os
from matplotlib.pyplot import imread
import random
import numpy as np
# set seed:
seed_value = 1
os.environ['PYTHONHASHSEED']=str(seed_value)
random.seed(seed_value)
np.random.seed(seed_value)
def getListOfFiles(dirName):
# create a list of file and sub directories
# names in the give... | MeitalRann/Music-Genre-Detection-using-Deep-CNN-Architecture | lib/get_images.py | get_images.py | py | 1,088 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_... |
42191776626 | from flask import Flask, render_template
from flask import url_for
app = Flask(__name__)
@app.route('/')
@app.route('/list_prof/<list>')
def list_prof(list):
jobs_list = ['Капитан', 'Штурман', 'Врач', 'Солдат', 'Гей']
return render_template('list_prof.html', list=list, jobs=jobs_list)
if _... | Xanderstp/html | pr/flask2-3.py | flask2-3.py | py | 451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
}
] |
72493576743 | import re;
import collections;
warnings = [];
classStack = [];
def arrayJoin(arr, delim = " "):
result = "";
first = True;
for line in arr:
if len(line) == 0:
continue;
if not first:
result += delim;
first = False;
result += line;
return result;
def warning(message):
warnings.append(arrayJoin(cla... | astrellon/Rouge | python/luaDocs.py | luaDocs.py | py | 11,114 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 257,... |
74642998503 | # -*- coding: utf-8 -*-
"""
@author: Florian Koch
@license: All rights reserved
"""
import pandas as pd
import json
with open('../../data/Öffentliche Beleuchtung der Stadt Zürich/beleuchtung.json') as data_file:
data = json.load(data_file)
df = pd.io.json.json_normalize(data, ['features', ['geometry', 'coordinates... | limo1996/ETH-DataScience | src/preprocess/beleuchtung.py | beleuchtung.py | py | 450 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.io.json.json_normalize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.io",
"line_number": 11,
"usage_type": "attribute"
}
] |
27036725509 | # =========================================================================
# Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved.
#
# 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... | xue-pai/FuxiCTR | fuxictr/features.py | features.py | py | 5,503 | python | en | code | 671 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_nu... |
18363748651 | import argparse
from pwm import main as pwm_main
from pwm import *
'''
-m pour le fichier contenant la matrice (option longue --pfm, pas de valeur par défaut) ;
-t pour le seuil de score de matrice (option longue --threshold, pas de valeur par défaut) ;
-l pour la longueur du promoteur (option longue --promotor-length... | fayssalElAnsari/Bioinformatics-python-sequence-analyser | app/src/putative_TFBS.py | putative_TFBS.py | py | 1,622 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pwm.main",
"line_number": 35,
"usage_type": "call"
}
] |
38628061872 | #!/usr/bin/env python
import os
from posixpath import split
import pygame
import numpy as np
from eden.core import Eden
import platform
if platform.system() == 'Windows':
import ctypes
ctypes.windll.user32.SetProcessDPIAware()
from pygame.transform import scale as surf_scale
from typing import List, Tuple
asse... | DouPiChen/Eden-v0 | python/eden/interactive.py | interactive.py | py | 23,947 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "platform.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.user32.SetProcessDPIAware",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_nam... |
32413575452 | import math
import os
from pathlib import Path
from typing import Any, Optional, Tuple, Union
from warnings import warn
import torch
from renate.types import NestedTensors
def mmap_tensor(
filename: str, size: Union[int, Tuple[int, ...]], dtype: torch.dtype
) -> torch.Tensor:
"""Creates or accesses a memory... | awslabs/Renate | src/renate/memory/storage.py | storage.py | py | 6,650 | python | en | code | 251 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.dtype",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.from_file",
"lin... |
10933710251 | from django.shortcuts import render, get_object_or_404
from django.shortcuts import redirect
from allauth.socialaccount.models import SocialAccount
from .models import Repository, Milestone, Task
import requests
from .scripts import sync_repos
from .forms import MilestoneForm, TaskForm
def homepage(request):
retur... | MichalKozlowskii/git-roadmap | roadmap/views.py | views.py | py | 3,907 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "allauth.socialaccount.models.SocialAccount.objects.get",
"line_number": 16,
"usage_type":... |
38715613362 | #!/usr/bin/env python3
import json
def sum_numbers(data, ignore_red=False):
if isinstance(data, list):
total = 0
for e in data:
total += sum_numbers(e, ignore_red)
return total
elif isinstance(data, str):
return 0
elif isinstance(data, int):
return data
... | lvaughn/advent | 2015/12/accounting.py | accounting.py | py | 778 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 28,
"usage_type": "call"
}
] |
5558299385 | from unidecode import unidecode
import unittest
class Event:
def __init__(self, name, player, quantity):
self.name = name
self.player = player
self.quantity = quantity
def __str__(self):
return ', '.join([self.name, unidecode(self.player), str(self.quantity)])
def __eq__(s... | arxoclay/fpl-updates | event.py | event.py | py | 5,007 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unidecode.unidecode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 133,
"usage_type": "call"
}
] |
24524063847 | from django.core.paginator import Paginator
from django.shortcuts import get_object_or_404, render
from .models import News, Tag
def page_list(set, request):
paginator = Paginator(set, 10)
page_number = request.GET.get('page')
page_obj = paginator.get_page(page_number)
return page_obj
# Главная стр... | Gabrie1002/zavodnews | zavodnews/news/views.py | views.py | py | 1,127 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.News.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.News.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"a... |
3770442163 | from fastai.vision.widgets import *
from fastai.vision.all import *
from pathlib import Path
import PIL
from PIL import Image
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import color
file_name='style.pkl'
learn_inference = load_learner(Path()/file_name)
#defining wallpaper class for testing
class... | leahuriarte/recfromimage | style.py | style.py | py | 1,926 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "color.compare",
"line_number": 42,
"usage_type": "call"
}
] |
6508824338 | import numpy as np
import chainer
import argparse
import csv
import chainer.functions as F
import chainer.links as L
from chainer import cuda
from chainer import serializers
from fix_data import OneDimSensorData
"""
LSTMを書いて, 訓練するクラス
"""
class LSTM(chainer.Chain):
def __init__(self):
super().__init__... | awkrail/laugh_maker | lstm_new.py | lstm_new.py | py | 4,159 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "chainer.Chain",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "chainer.links.Linear",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "chainer.links",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "chainer.links.L... |
23603010540 | # -*- coding: utf-8 -*-
# NOTES
# ALl mask related mathematics happens assuming (and only after conversion to) the mask image as a 2D array [... x ...]
# No channels=1 are used for the mask. Ofcourse while reading, it is read as [.. x .. x 1];
import os, cv2, pickle as pk, numpy as np
import params
from clustering imp... | murali1996/semantic_segmentation_of_nuclei_images | data_m3.py | data_m3.py | py | 23,748 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.getStructuringElement",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.MORPH_ELLIPSE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.erod... |
69826559463 | import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from mpl_toolkits.mplot3d.art3d import Poly3DCollection, pathpatch_2d_to_3d
import seaborn as sns
from scipy import spatial
from utils import update_matplotlib_rc_parameters
from utils import sph2cart
from utils impo... | akapet00/phd-qualifying-exam | code/spherical_surface.py | spherical_surface.py | py | 2,736 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.arcsin",
"line... |
40213018002 | from flask import Flask, request, render_template
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
from utils import scroll_to_page_end, extract_videos_data
app = Flask(__name__)
@app.route("/")
def index():
return render_template("index.html")
@app.route("/result", methods=["POST... | aftabgit786/youtube-videos-data-with-selenium | app.py | app.py | py | 862 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
1818949289 | import fileinput
from multiprocessing import Process
import os
import shutil
import sys
from node import Node
from observer import Observer
from utils import pipeName, Pipes
def createNode(node_id, money):
n = Node(node_id, money)
n.listen()
def createObserver():
obs = Observer()
obs.listen()
pas... | a-yun/distributed-snapshot | master.py | master.py | py | 6,692 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "node.Node",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "observer.Observer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.Pipes",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_num... |
42591766267 | from re import M
from pyrailbaron.map.svg import MapSvg, transform_lcc, transform_dxf
from pyrailbaron.map.datamodel import Map, Coordinate
from pyrailbaron.map.states import get_border_data
from pathlib import Path
from typing import List
ROOT_DIR = (Path(__file__) / '../../..').resolve()
border_data = get_border_da... | bmboucher/rail_baron | python/scripts/test_draw_border.py | test_draw_border.py | py | 3,293 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyrailbaron.map.states.get_border_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyrailbaron.map.datamodel.Map",
"line_number": 57,
"usage_type": "name"
},
{
"... |
32961827103 | import numpy as np
import cv2
from scipy.misc import imresize
from imageio import imread
from tensorflow.keras.preprocessing import image
from keras.applications import imagenet_utils
import os
def get_bounding_box_coordinates(projection):
combined_channels = np.sum(projection[0], axis=2)
arg_positions = np.ar... | benygood/deconv | base/image_ops.py | image_ops.py | py | 6,496 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.sum",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.argwhere",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.... |
23331707809 | from size_based_ecosystem import *
import matplotlib.animation as animation
tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),
(44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, 150),
(148, 103, 189), (197, 176, 213), (140, 86, 75), (196, 156, 148),
... | jemff/food_web | old_sims/eco_HD_hillclimb.py | eco_HD_hillclimb.py | py | 2,353 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.stats.norm.pdf",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 31,
"usage_type": "name"
}
] |
17067227665 | import os
import sys
import difflib
import unittest
import subprocess
import distutils.file_util
import getnose
import nose.plugins
import nose.plugins.builtin
import makeloadertests
class JsTest(nose.plugins.Plugin):
def options(self, parser, env=os.environ):
nose.plugins.Plugin.options(self, parser, env... | mozillalabs-syncer/weave-backup | tools/scripts/runtests.py | runtests.py | py | 3,767 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "nose.plugins.plugins",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "nose.plugins",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "nose.plugins.p... |
13682438400 | from PIL import Image
import numpy as np
import pandas as pd
from shutil import copyfile
import os
# Add instructions to copy .csv to test/train directory
if not os.path.isdir("./data/"):
print('Creating Data Directory')
os.mkdir("./data/")
if os.path.isdir("./data/smiles_valset/"):
print("You already have... | ssanchez2000/CS229-Project | preprocessing.py | preprocessing.py | py | 2,462 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": ... |
19764321263 | from __future__ import annotations
import json
import os
import requests
from typing import Tuple
from .common import *
from .jws import sign, rsa, x509
INTERACTIVE_PAYMENT = "interactive_payment"
AUTOMATED_PAYMENT = "automated_payment"
EXPECTED_PAYMENT = "expected_payment"
class PayinDebtor:
"""The debtor (orig... | shinkansenfinance/python-shinkansen | shinkansen/payins.py | payins.py | py | 12,652 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.Response",
"line_number": 163,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 190,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 216,
"usage_type": "call"
},
{
"api_name": "json.lo... |
8446754298 | import os
import re
import shutil
import tempfile
import unittest
from cupy import testing
from example_tests import example_test
os.environ['MPLBACKEND'] = 'Agg'
@testing.with_requires('matplotlib')
class TestKmeans(unittest.TestCase):
def test_default(self):
output = example_test.run_example(
... | cupy/cupy | tests/example_tests/test_kmeans.py | test_kmeans.py | py | 1,190 | python | en | code | 7,341 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "example_tests.example_test.run_example",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
329200388 | # -*- coding: UTF-8 -*-
from flask import Flask, jsonify, current_app, render_template, request
import os
import sys
import json # http query responses handled as json
# (in python requests/grequests and ajax calls)
import requests # for http get/post calls
from time import... | gil-k/yelp | atitan.py | atitan.py | py | 3,587 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.request.environ.get... |
74059454504 | from ansible.module_utils.basic import AnsibleModule
from PyPowerStore.utils.exception import PowerStoreException
from ansible.module_utils import dellemc_ansible_utils as utils
import logging
from uuid import UUID
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.0',
'status': ['prev... | avs6/ansible-powerstore | dellemc_ansible/powerstore/library/dellemc_powerstore_volumegroup.py | dellemc_powerstore_volumegroup.py | py | 26,850 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ansible.module_utils.dellemc_ansible_utils.get_logger",
"line_number": 163,
"usage_type": "call"
},
{
"api_name": "ansible.module_utils.dellemc_ansible_utils",
"line_number": 163,
"usage_type": "name"
},
{
"api_name": "logging.INFO",
"line_number": 164,
"us... |
1967983354 | # do some analysis of variance
import sys
import csv
from tabulate import tabulate
from scipy import stats
ANOVA_HEADERS = ['src', 'DF', 'SS', 'MS', 'F', 'p']
def sum_x(data):
total = 0
for row in data:
total += sum(row)
return total
def sum_xsq(data):
total = 0
for row in data:
... | Koellewe/anova | anova.py | anova.py | py | 7,268 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "scipy.stats.f",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_n... |
19686747044 |
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
import csv
import numpy as np
import matplotlib.mlab
def plotDecisionRegionQDA(sampleMean, CV_, training, data):
all_res = []
minX, maxX, minY, maxY = 0., 8., 0., 8.
# create one-dimensio... | aaravamudan2014/DiscriminantAnalysisClassifier | classifier.py | classifier.py | py | 7,883 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "seaborn.set",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line... |
36683242978 | import config
import telebot
import requests
from telebot import types
bot = telebot.TeleBot(config.token)
# Декодую json
response = requests.get(config.url).json()
@bot.message_handler(commands=['start', 'help'])
def send_welcome(message):
markup = types.ReplyKeyboardMarkup(resize_keyboard=True, row... | Yaroslav29/H_W_3.....9-codewars- | Telegram bot (курс П.Б.)/telegram bot P_B_.py | telegram bot P_B_.py | py | 1,805 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "config.token",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.url",
"line_nu... |
37936161747 | import apache_beam as beam
with beam.Pipeline() as pipeline:
plants = (
pipeline
| 'Garden plants' >> beam.Create([
('🍓', 'Strawberry'),
('🥕', 'Carrot'),
('🍆', 'Eggplant'),
('🍅', 'Tomato'),
('🥔', 'Potato'),
])
| 'Values' >> beam.Values()
... | ezeparziale/apache-beam-start | examples/values.py | values.py | py | 354 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "apache_beam.Pipeline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "apache_beam.Create",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "apache_beam.Values",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "apache_beam.... |
2769915489 | # coding= utf-8
import json
import mitmproxy.http
# 存在中文乱码情况
class GetJson:
def response(self, flow: mitmproxy.http.HTTPFlow):
if "https://stock.xueqiu.com/v5/stock/batch/quote.json?_t" in flow.request.url and "x=" in flow.request.url:
# 数据的模拟
data = json.loads(flow.response.text)... | liwanli123/HogwartProjectPractice | test_mock/get_json.py | get_json.py | py | 677 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mitmproxy.http.http",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mitmproxy.http",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dump",
"lin... |
2926069987 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 29 21:18:31 2017
@author: jagan
"""
#Import Library
import matplotlib.pyplot as plt
import numpy as np
#Main Function
def main():
N= 5
width = 0.35
#Data for the bar chart
men_score=(75,70,98,62,55)
wom_score=(65,77,98,85,63)
ind = np.a... | shalabh250284/test-python-project | bar_chart.py | bar_chart.py | py | 642 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
19420197734 | import logging.handlers
import re
import sys
import tqdm
class Utilities(object):
"""
Utility functions.
"""
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xm... | coldfusion39/domi-owned | domi_owned/utilities.py | utilities.py | py | 3,743 | python | en | code | 114 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 20,
"us... |
32521250931 | # _*_ coding: utf-8 _*_
from flask import render_template, redirect, url_for, flash, request
from ..models import User, News, Weather
from . import main
from .. import HWMonitor
from flask_login import login_required, current_user, login_user
from sqlalchemy import desc
from random import sample
# 首页
@main.route('/'... | panshuo/News-Weather | app/main/views.py | views.py | py | 1,752 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.User.query.filter_by",
"line_number": 17,
"usage_type": "c... |
3247799211 | import datetime
# Types of fields.
CHAR = "C"
NUMERAL = "N"
DATE = "D"
LOGICAL = "L"
# System encoding which is used to convert field names between bytes and string.
SYSTEM_ENCODING = "ascii"
# Reference data
ENCODINGS = {
# got from dbf description [dbfspec]
# id name description
0x00: ("asci... | y10h/ydbf | ydbf/lib.py | lib.py | py | 5,038 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "datetime.date",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 125,
"usage_type": "attribute"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.