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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71465713 | from django.contrib import admin
from django.db.models import QuerySet
from django.http import HttpRequest
from .models import Filmwork
from .models import Genre
from .models import GenreFilmwork
from .models import Person
from .models import PersonFilmwork
class GenreFilmworkInline(admin.TabularInline):
model =... | leks20/new_admin_panel_sprint_3 | app/movies/admin.py | admin.py | py | 1,577 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.GenreFilmwork",
"line_number": 13,
"usage_type": "name"
},
{
... |
5577567444 | import os
import numpy as np
from toolz.sandbox import unzip
from src.data.data_three import pad_tensors, pad_tensors_pos
from src.data.data_three import get_ids_three, get_size_rank
from src.data.utils import pad_sequence
# Image feature, Text token, Audio feature
class T2IDetectFeatTxtTokTwoDataset():
""" Detect... | mindspore-ai/zidongtaichu | src/data/t2i_ft.py | t2i_ft.py | py | 5,055 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.random.randn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.... |
19065227448 | import os
from fastapi.testclient import TestClient
from main import app
client = TestClient(app)
os.environ["CHAT_PROVIDER"] = "OpenAIAssistantAPIChatProvider"
os.environ["OPENAI_API_KEY"] = "{your_OPENAI_API_KEY}"
def test_query_endpoint():
response = client.post("/query", json={"message": "What is Boyko's ... | boyko11/resume-chat | test/routes/test_chat.py | test_chat.py | py | 716 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "main.app",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
31358734666 | from constructs import Construct
from aws_cdk import NestedStack, aws_lambda as lambda_
from awsStack.networkStack import NetworkStack
class LambdaStack(NestedStack):
def __init__(
self, scope: Construct, id: str, network_stack: NetworkStack, **kwargs
) -> None:
super().__init__(scope, id, **... | parisnakitakejser/video-tutorial-python-code | aws/AWS-CDK/VPC/create-vpc-endpoint-interface-aws-privatelink/awsStack/lambdaStack.py | lambdaStack.py | py | 631 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "aws_cdk.NestedStack",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "constructs.Construct",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "awsStack.networkStack.NetworkStack",
"line_number": 9,
"usage_type": "name"
},
{
"api_name... |
72804343732 | import tkinter
from tkinter import filedialog
delete=''
import os
import shutil
import hashlib
def hashfile(path,blocksize=1024):
afile=open(path,'rb')
hasher=hashlib.md5()
buf=afile.read(blocksize)
while len(buf)>0:
hasher.update(buf)
buf=afile.read(blocksize)
afile.close()
r... | MahadevGopanpalli/Python-Scripts | Project/Dup.py | Dup.py | py | 2,741 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "hashlib.md5",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number":... |
37812972715 | #!/usr/bin/env python
# vim: fileencoding=utf8:et:sw=4:ts=8:sts=4
import os
from setuptools import setup
VERSION = (0, 0, 2, "")
install_deps = ['psycopg2', 'mummy']
test_deps = install_deps + ['greenhouse', 'fuzzy', 'nose']
setup(
name="datahog",
description="a shardable postgresql-backed data store",
... | teepark/datahog | setup.py | setup.py | py | 543 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
}
] |
31224923305 | import gatt, json, sys, os
#import struct
class AnyDevice(gatt.Device):
def services_resolved(self):
super().services_resolved()
self.posture_service = next(
s for s in self.services
if s.uuid == '64a15170-33f2-c6b6-f740-9985e07962c7')
self.back_characteristic = next(
c for c in self.posture_servic... | MHML2018/studious-octo-goggles | gatt_read_char.py | gatt_read_char.py | py | 1,870 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gatt.Device",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.execl",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.executable",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_num... |
16935339164 | import numpy as np
import cv2 as cv
# img = cv.imread('test_images/shapes.jpg')
img = cv.imread('test_images/smarites.jpg')
output = img.copy()
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
gray = cv.medianBlur(gray, 5)
# circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, 20, param1=50, param2=30, minRadius=0, maxRad... | manthan89-py/OpenCV-Python-Tutorials | circle_detection_using_hough_transform.py | circle_detection_using_hough_transform.py | py | 688 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.medianBlur",
"li... |
74319085491 | import json
import multiprocessing
import matplotlib.pyplot as plt
import pymongo
from pymongo import MongoClient
import argparse
import datetime as dt
import pandas as pd
import itertools
from scipy import stats
import numpy as np
import tqdm
from migration.migrate_helper import fetch_rand_users_from_file, fetc... | Caizoo/Reddit | migration/macro_migrate.py | macro_migrate.py | py | 4,310 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "migration.migrate_helper.fetch_top_users_from_file",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "migration.migrate_helper.fetch_rand_users_from_file",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 37,
"us... |
9779019357 | # -*- coding:utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals, \
with_statement
import logging
import copy
import json
from solrdataimport.lib.jsonEncoder import JSONEncoder
from solrdataimport.dataload.cassdata import CassandraData
from solrdataimport.dataload.cassdatab... | pisceanfoot/solrdataimport | solrdataimport/dataload/fetch.py | fetch.py | py | 4,415 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "solrdataimport.dataload.cassdata.CassandraData.initCass",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "solrdataimport.dataload.cassdata.CassandraData",
"line_number": 20,... |
26623481840 | import itertools
import numpy as np
import scipy.linalg
from common import *
class predictIMU:
def __init__(self,
prior_pose_conv,
sensor_noise_conv):
if prior_pose_conv is None:
prior_pose_conv=1e-3 *np.eye(6)
self.T=np.eye(4)
self.sensor_noise_conv=sensor_nois... | jameswoods0815/kalmanSLAM | predict.py | predict.py | py | 675 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.eye",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.linalg.expm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.linalg",
... |
73888391092 | from typing import List
class Solution:
def asteroidCollision(self, asteroids: List[int]) -> List[int]:
# stack
# when it will collide: asteroids[i] > 0 > asteroids[i+1]
res = []
for new in asteroids:
while res and res[-1] > 0 > new:
if res[-1] == -new: #... | xiaofanc/leetcode | 0735-Asteroid-Collision.py | 0735-Asteroid-Collision.py | py | 1,455 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
}
] |
40168116047 | import rawpy as rp
import numpy as np
import cv2
import matplotlib.pyplot as plt
import Camera2XYZ as cam2xyz
import Reflectance2XYZ as ref2xyz
#import exiftool
import glob
import shutil
import os
import json
import colour
def test_color(path_im, color_name, ppg_data, wb_roi, patch_roi, path_jpeg = None):
#Full DN... | tuanbi97/Color | DNGvsJPG.py | DNGvsJPG.py | py | 6,542 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rawpy.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
28676995477 | from collections import defaultdict
from rest_framework.views import APIView
from core.models import Country
from apis.serializers import CountrySerializer
from rest_framework.response import Response
from operator import itemgetter
class CountryScoreYearByApiView(APIView):
serializer_class = CountrySerializer
... | NazimBudaqov/searchart | app/apis/views/CountryScoreYearByApiView.py | CountryScoreYearByApiView.py | py | 2,749 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "apis.serializers.CountrySerializer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "core.models.Country.objects.filter",
"line_number": 16,
"usage_type": "cal... |
38559783962 | from datetime import datetime
from time import strftime
from statistics import mean
import numpy as np
import pandas as pd
import csv
import os.path
#loading global variables
question_number = 1
appname = "MH Tracker"
now = datetime.now()
date = now.strftime("%Y-%m-%d")
time = now.strftime("%H:%M:%S")
star... | takashidoyama/PHQ-9-donchan91-project | phq9_original.py | phq9_original.py | py | 8,015 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.p... |
40049914843 | import os
import sys
import re
import logging
from odoo import api, SUPERUSER_ID
from odoo.exceptions import UserError
_logger = logging.getLogger(__name__)
def check_4_depending(cr):
"""check_4_depending v2.0.11
This function check for valid modules which current module depends on.
Usually Odoo checks ... | zeroincombenze/tools | z0bug_odoo/testenv/_check4deps_.py | _check4deps_.py | py | 9,919 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_num... |
10673333972 | import numpy as np
from bokeh.plotting import figure, show, output_file
from sklearn import datasets
from sklearn.cluster import KMeans
np.random.seed(3)
# get the dataset
iris = datasets.load_iris()
X = iris.data
Y = iris.target
# fit K-means clustering
est = KMeans(n_clusters=3).fit(X)
# create scatterplot with ... | vincentclaes/datascience | projects/k_means_clustering/k_means_clustering.py | k_means_clustering.py | py | 724 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.d... |
6349629636 | """
System commands
These are the default commands called by the system commandhandler
when various exceptions occur. If one of these commands are not
implemented and part of the current cmdset, the engine falls back
to a default solution instead.
Some system commands are shown in this module
as a REFERENCE only (the... | whitehorse-io/encarnia | evennia/evennia/commands/default/syscommands.py | syscommands.py | py | 5,531 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "evennia.utils.utils.class_from_module",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "evennia.utils.utils",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.COMMAND_DEFAULT_CLASS",
"line_number": 33,
"usage_type": "... |
31900796393 | from datetime import datetime
import pytz
import re
from flask import Flask, request
"""
Timezones:
AEST - Australia Eastern Standard Time
ACST - Australia Central Standard Time
AKST - Alaska Standard Time
AST - Atlantic Standard Time
AWST - Australia Western Standard Time
CET - Central European Time
CST - Central Sta... | nottak1/TwitchTimeZoneAPI | timezone.py | timezone.py | py | 4,452 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pytz.timezone",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "re.findall",
... |
24093808532 | from googlesearch import search
from urllib.parse import urlparse
import requests
from bs4 import BeautifulSoup
from transformers import GPT2Tokenizer
import logging
def google_search(query):
url_list = []
for url in search(str(query), stop=3):
print("Google search: " + str(url))
url_list.appe... | zack-seiler/MEMPHIS_AI_DISCORD_CHAT | websearch.py | websearch.py | py | 5,378 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "googlesearch.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulS... |
11763816931 | #!/usr/bin/env python
import tkinter
root = tkinter.Tk()
dpi = root.winfo_fpixels('1i')
root.destroy()
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, FigureCanvasAgg
from matplotlib.figure import Figure
import numpy as np
from numpy.fft import fftshift, fftfreq
import PySimpleGUI as sg
from rtlsdr ... | aaronzlim/rtlsdr-speca | rtlsdr_speca/__main__.py | __main__.py | py | 2,010 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rtlsdr_speca.layout.canvas_size",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name"... |
20601058731 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
CONFIG_FILENAME = './../config.json'
COMMITS_JSON_FILENAME = 'commits.json'
CONFIG_DATA = json.load(open(CONFIG_FILENAME))
ERROR_LOG_FILENAME = 'log/error_log'
LOG_FILENAME = 'log/log'
TRACEBACK_LIMIT = 10
API_TOKEN = CONFIG_DATA['API_TOKEN']
Channel = CONFIG... | yassu/github-viewer.slack | github_viewer_slack/slackbot_settings.py | slackbot_settings.py | py | 418 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
}
] |
5600744484 | #!/usr/bin/env python3
import logging
from time import sleep
from ev3dev2.motor import LargeMotor, OUTPUT_B, OUTPUT_C, MoveDifferential
from ev3dev2.wheel import EV3EducationSetTire
WHEEL_DISTANCE_MM = 118
MOTOR_SPEED_PERCENT = 25
MOTOR_SPEED_PERCENT_WHEN_TURNING = 15
move_differential = MoveDifferential(
left_... | Alejandro-M-Cruz/robot-sra | square/main.py | main.py | py | 1,956 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ev3dev2.motor.MoveDifferential",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ev3dev2.motor.OUTPUT_B",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ev3dev2.motor.OUTPUT_C",
"line_number": 15,
"usage_type": "name"
},
{
"api_... |
860566361 | from fastapi import FastAPI, Depends, Request, Form, status
from pydantic import BaseModel
from starlette.responses import RedirectResponse
from starlette.templating import Jinja2Templates
from joblib import load
from pydantic import BaseModel
from sqlalchemy.orm import Session
import models
import pandas as pd
from da... | jacespedes2019/Proyecto1Etapa2BI | app.py | app.py | py | 4,529 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Base.metadata.create_all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Base",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "database.engine",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "star... |
18928053583 | import json
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import yaml
import pandas as pd
import requests
from tabulate import tabulate
import os.path
from os import path
vendor_col_name = "vendor"
state_col_name = "state"
appts_available_col_name = "appointment_ava... | dsinghvi/covid-vaccine-appts | main.py | main.py | py | 6,844 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
34957214738 | import cv2
img1 = cv2.imread('model.jpg')
e1 = cv2.getTickCount()
for i in range(5, 49, 2):
img2 = cv2.medianBlur(img1, i)
e2 = cv2.getTickCount()
t = (e2 - e1) / cv2.getTickFrequency()
cv2.imshow('Original', img1)
cv2.imshow('Blur', img2)
cv2.waitKey(0)
cv2.destroyAllWindows()
print(t)
# 결과: 2.55644031015614... | jacegem/OpenCV-Python-Tutorials | 09. 성능 측정 및 개선 기법/01 OpenCV로 성능 측정.py | 01 OpenCV로 성능 측정.py | py | 326 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.getTickCount",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.medianBlur",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.getTickCount",
"line_... |
30595616635 | import pygame
from checkers.constants import Width, Height, cell_size , black , grey
from checkers.gamealgo import Game
FPS = 60
screen = pygame.display.set_mode((Width, Height))
pygame.display.set_caption("Checkers Tutorial")
def get_row_col_frommouse(pos):
x , y = pos
row = y // cell_size
col = x // ce... | haidermahin/projects | checkers/checkers/main.py | main.py | py | 860 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "checkers.constants.Width",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "che... |
1118921954 | from bs4 import BeautifulSoup
soup = BeautifulSoup(open('result.html'),"html.parser")
titleArr = soup.select('.u')
#标题
headerTitle = titleArr[0].get_text()
formatText = headerTitle + '\n'
#新闻
newsStr = ""
newsElement = soup.select('.news-wrap > .line')
for div in newsElement:
news = div.get_text() + '\n'
newsStr +=... | WangGuibin/weather-action | getInfo.py | getInfo.py | py | 989 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 3,
"usage_type": "call"
}
] |
38358528832 | from random import randint
import properties
import pytest
from six import string_types
from lfview.resources import scene
from .test_scene import random_scene, random_float_generator
def test_base_types():
assert scene.Slide.BASE_TYPE == 'slides'
assert scene.Feedback.BASE_TYPE == 'feedback'
def test_sc... | seequent/lfview-resources-scene | tests/test_slide.py | test_slide.py | py | 2,898 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lfview.resources.scene.Slide",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "lfview.resources.scene",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "lfview.resources.scene.Feedback",
"line_number": 14,
"usage_type": "attribute"
... |
32684339676 | ########################################################################
# File name: types.py
# This file is part of: aioxmpp
#
# LICENSE
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation... | horazont/aioxmpp | aioxmpp/xso/types.py | types.py | py | 39,497 | python | en | code | 215 | github-code | 21 | [
{
"api_name": "abc.ABCMeta",
"line_number": 89,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 136,
"usage_type": "attribute"
},
{
"api_name": "abc.ABCMeta",
"line_number": 158,
"usage_type": "attribute"
},
{
"api_name": "abc.abstr... |
24519500953 | from BCCommunicator import BCCommunicator
from FSCommunicator import FSCommunicator
from Model import Model
import torch
import os
from Requester import Requester
from Worker import Worker
from dotenv import load_dotenv
from FSCommunicator import FSCommunicator
import ipfshttpclient
# Main class to simulate the distr... | bayesianinstitute/FLBLC_2 | client/Application.py | Application.py | py | 4,448 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ipfshttpclient.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cud... |
1311423726 | from __future__ import print_function
import argparse
import cv2
from depth_models import DepthNet
import numpy as np
import torch
from torch.autograd import Variable
from torch import nn
from torch.utils.data import DataLoader
from slam_data import SlamDataset
parser = argparse.ArgumentParser()
parser.add_argument(... | tgale96/deepslam | depth_infer.py | depth_infer.py | py | 1,838 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "slam_data.SlamDataset",
"line_number": 24,
"usage_type": "call"
},
{
"api_nam... |
10682453072 | """
This module defines data-transfer objects used by providers.
"""
from dataclasses import dataclass
from datetime import datetime
import enum
import io
import json
import re
from typing import Any, Mapping, Optional, Sequence, Tuple
import yaml
import requests
@dataclass(frozen = True)
class Capabilities:
""... | cedadev/jasmin-azimuth | azimuth/provider/dto.py | dto.py | py | 11,042 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "dataclass... |
45226150031 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 29 15:33:58 2016
@author: Shen
"""
import urllib2
#import cookielib
import re
import json
#url = 'http://i.sso.sina.com.cn/js/ssologin.js'
#def get_loginjs(url):
# cookie = cookielib.CookieJar()
# opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cookie))
... | Syhen/Weibo | PythonFiles/GetLogInInfo.py | GetLogInInfo.py | py | 1,363 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib2.urlopen",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 41,
"usage_type": "call"
}
] |
33159549780 | # adarsha sachan
# i have build my own algorithm that will tell me flower name
# and its with dataset set analysis
import pandas as pd
import matplotlib.pyplot as graph
# Write a true condition
while True:
try:
# input condition for sepallength
sepallength=float( input ("Please Enter the sepallength "))
... | G00364769/Project-2018 | myproject.py | myproject.py | py | 9,020 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_table",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 100,
"usage_type": "name"
},
{
"api_name": "matplotl... |
74029035891 | from flask import redirect, url_for, flash
from flask_admin import BaseView, expose, AdminIndexView
from flask_login import current_user
from flask_admin.contrib.sqla import ModelView
from flask_admin.contrib.fileadmin import FileAdmin
from .forms import check_letters, check_digits, check_symbols, check_spaces
from wtf... | dima-yurchuk/blog_technological_innovations | app/user/custom_admin.py | custom_admin.py | py | 11,724 | python | uk | code | 0 | github-code | 21 | [
{
"api_name": "flask_admin.AdminIndexView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 17,
"usage_type": "na... |
73233044531 | from datetime import date, datetime
from datetime import timedelta
import logging
import requests
# Many thanks to https://github.com/bachya/aiorecollect for the key info needed
# to decipher the Recollect API.
#
API_URL_SCAFFOLD = "https://api.recollect.net/api/places/{0}/services/{1}/events"
def get_schedule(plac... | tay-bird/nest-display | lib/garbage_fetcher.py | garbage_fetcher.py | py | 1,731 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.date.today",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
6761068000 | """This module contains implementation of scheduler.
"""
import gevent
import gevent.coros
import config.collector as config
import time
from gevent.pool import Pool
from gevent.queue import PriorityQueue, Queue
def _get_int_time(t_stamp=None):
"""Helper function.
Return an integer value of `t_stamp`. In ca... | alexsv/Pyxis | collector/Scheduler.py | Scheduler.py | py | 4,128 | python | en | code | null | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gevent.queue.PriorityQueue",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "gevent.queue.Queue",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "gevent.pool.P... |
33863608773 | import logging
import pandas as pd
from temporal_granularity.src.metrics.multi_metrics import MultiMetrics
from temporal_granularity.src.metrics.single_metrics import SingleMetrics
logger = logging.getLogger(__name__)
class Metrics:
def __init__(self, original_solar, representative_solar, original_wind, repre... | alexanderkell/temporal_granularity | src/metrics/metrics.py | metrics.py | py | 5,331 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "temporal_granularity.src.metrics.single_metrics.SingleMetrics",
"line_number": 84,
"usage_type": "call"... |
35707579560 | from absl import app, flags, logging
FLAGS = flags.FLAGS
def looksay(input: str, repeat: int = 1) -> str:
output = []
previous_c = None
previous_count = 0
for c in input:
if previous_c is None:
previous_c = c
previous_count = 1
continue
if previous_... | steventhurgood/adventofcode | 2015/10/looksay.py | looksay.py | py | 831 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "absl.flags.FLAGS",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "absl.flags",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "absl.app.run",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "absl.app",
"line_numb... |
30352472743 | import usaddress
from scourgify import normalize_address_record
from uszipcode import SearchEngine, SimpleZipcode
search: SearchEngine = SearchEngine()
def get_zip(city: str, state: str) -> str:
zipcodes: [SimpleZipcode] = search.by_city_and_state(city, state)
if len(zipcodes) >= 1:
return zipcodes[0]... | roshangiyanani/pt_location_scraper | ptls/address.py | address.py | py | 2,304 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "uszipcode.SearchEngine",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "uszipcode.SimpleZipcode",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scourgify.normalize_address_record",
"line_number": 49,
"usage_type": "call"
},
{
"a... |
33286509717 | import execjs
import requests
from lxml import etree
session = requests.session()
url = 'https://www.python-spider.com/challenge/34'
headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'Accept-Language... | 17346607460/DyItemSpider | web/web34/web34.py | web34.py | py | 1,906 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "requests.session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "execjs.compile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line... |
12413279862 | import pdfminer
import cv2
import os
import numpy as np
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfpage import PDFTextExtractionNotAllowed
from pdfminer.pdfinterp import PDFResourceManager
from pdfminer.pdfinterp import PDF... | sonnhfit/pdfextract | pdfex.py | pdfex.py | py | 3,841 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pdf2image.convert_from_path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pdfminer.layout",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pdf... |
23495122137 | #!/usr/bin/env python
# ================== EDIT Cofflinks/gffread GFF3 file for EVM compatibility =================
# Script to make the GFF3 output of Cofflinks + gffread compatible with
# EVidenceModeler by appending the missing ID to the exons. The header can be
# turn off. It's largely based on the script SNAPgff2... | johannessonlab/SpokBlockPaper | Annotation/scripts/gffread2EVM.py | gffread2EVM.py | py | 4,577 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
73025920053 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from gi.repository import GLib
from gi.repository import Gtk
from gi.repository import Vte
from guake.dbus_manager import createDbusRemote
from guake.dconf_ha... | LiuFang816/SALSTM_py_data | python/Guake_guake/guake-master/src-gtk3/guake/gtk3test.py | gtk3test.py | py | 1,395 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gtk.Window.__init__",
"line_number": 20,
"usage_type": "call"
},
{
... |
70096735093 | from utils import create_dir
from matplotlib import pyplot as plt
import numpy as np
from os import path as op
import logging
def extract_cbl(func_file, confound_file, masker, rdo_dir):
"""
:param func_file:
:param confound_file:
:param masker:
:return:
"""
logging.debug("Extracting cereb... | spolex/pyrestfmri | fmriapi.py | fmriapi.py | py | 1,051 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.debug",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "utils.create_dir",
"line_num... |
2670161732 | import cv2
import numpy as np
import os
dir = os.path.dirname(__file__)
foldername = os.path.join(dir, 'Images')
os.chdir(foldername)
img = cv2.imread('basic mask.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,15,150,apertureSize = 3)
print (edges)
lines = cv2.HoughLines(edges,1,np.pi/180,20... | aditiawas/Defencing-Inpainting | Extra trials/houghline.py | houghline.py | py | 644 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
39903411974 | import os
import random
from typing import Any, Dict
from . import tilemap_nx as tmnx
MATRIX_CACHE = "_temp_matrix.pickle"
LOOKUP_CACHE = "_temp_lookup.pickle"
def delete_cached(csv_path):
paths = get_cache_paths(csv_path)
for path in paths:
if os.path.exists(path):
os.remove(path)
... | fladdimir/casymda | src/casymda/blocks/tilemap/coordinates_holder.py | coordinates_holder.py | py | 2,640 | python | en | code | 39 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_num... |
27564301189 | import logging
import argparse
import requests
from rich.tree import Tree
from datetime import datetime
from rich import print as xprint
class RedditPostScraper:
def __init__(self, args):
self.session = requests.session()
self.session.headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS ... | MaggieWong27/reddit-post-scraping-tool-2022 | reddit-post-scraping-tool.py | reddit-post-scraping-tool.py | py | 4,100 | python | en | code | null | github-code | 21 | [
{
"api_name": "requests.session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rich.tree.Tree",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_n... |
12859233272 | import os
from pathlib import Path
import torch
from torch.distributed import init_process_group
from dp.model.model import load_checkpoint, ModelType, \
create_model
from dp.preprocessing.text import Preprocessor
from dp.training.trainer import Trainer
from dp.utils.io import read_config
from dp.utils.logging im... | as-ideas/DeepPhonemizer | dp/train.py | train.py | py | 2,966 | python | en | code | 290 | github-code | 21 | [
{
"api_name": "dp.utils.logging.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dp.utils.io.read_config",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "o... |
42644148153 | from django.shortcuts import redirect, render
from album.forms import AlbumForm
__all__ = (
'album_add',
)
def album_add(request):
if request.method == 'POST':
form = AlbumForm(request.POST, request.FILES)
print('검문소1')
if form.is_valid():
form.save()
print('검... | smallbee3/Melon | django/album/views/album/add.py | add.py | py | 535 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "album.forms.AlbumForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "album.forms.AlbumForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": ... |
18830142968 | import time
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Callable, Union
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from structures.events import EliteEvent, ScanEvent
from structures.exploration.bodies import System, Pl... | CaptainD1/PyDangerous | src/PyDangerous/pydangerous.py | pydangerous.py | py | 4,672 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "structures.events.ScanEvent",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "structures.exploration.bodies.Planet",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "structures.exploration.bodies.Planet",
"line_number": 14,
"usage_type": ... |
21335495985 | import time, os
from PIL import Image, ImageEnhance
class blog(object):
def __init__(self, imgsrc, ocr):
self.imgsrc = imgsrc
self.ocr = ocr
self.date = time.strftime("%Y%m%d", time.localtime())
# 图片剪裁
def cutImg(self, coordinate, imagPath):
"""
根据坐标位置剪切图片
... | Danielpan9075/paddleOCR | blog.py | blog.py | py | 4,241 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "time.strftime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_numbe... |
4118847699 | #!/usr/bin/env python
from mpi4py import MPI
import numpy as np
import h5py
import time
from icecube_tools.point_source_likelihood.energy_likelihood import (
MarginalisedEnergyLikelihoodFromSim,
MarginalisedEnergyLikelihoodFixed,
)
from icecube_tools.detector.angular_resolution import AngularResolution
from i... | cescalara/nu_pop | 1_detection_probability/scripts/TS_dist_bg.py | TS_dist_bg.py | py | 5,732 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "time.ti... |
1683292017 | import argparse
from pathlib import Path
from . import etag
import sys
import humanfriendly
import csv
def pathlib_exists(str_path: str) -> Path:
"""
Argparse "type" for a file that must exist
"""
path = Path(str_path)
if not path.exists():
raise argparse.ArgumentTypeError(f'Path {str_path... | multimeric/S3Etag | s3etag/main.py | main.py | py | 3,441 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "humanfriendly.par... |
30352475433 | import argparse
from pathlib import Path
from typing import Set
from ptls.scrapers import SCRAPERS, Athletico, ATI, CORA, Pivot, Professional, Select, URPT, USPh
parser = argparse.ArgumentParser()
parser.add_argument('-l', '--location', action='store', help='directory to store the files in (defaults to ./data/)')
pars... | roshangiyanani/pt_location_scraper | ptls/args.py | args.py | py | 2,152 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ptls.scrapers.SCRAPERS",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "ptls.scrap... |
40099682362 |
#! /usr/bin/env python
from scapy.all import *
import copy
import random
from netaddr.ip import IPNetwork, IPAddress
ip_a = IPAddress('2001::cafe:0') + random.getrandbits(16)
a = rdpcap("mp.pcap")
t = a[16][TCPOption_Timestamp].timestamp_value
b = []
for i in range(0, 10000):
b.append(copy.deepcopy(a[16]))
... | bbaugnies/DPI-MPTCP | Captures/flood.py | flood.py | py | 513 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "netaddr.ip.IPAddress",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.getrandbits",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "netaddr.ip.IPAd... |
18627814616 | from django.shortcuts import render
from .models import Kurumsal
# Create your views here.
def institutionalPage(request):
kurumsal = Kurumsal.objects.all().last()
data = {
'kurumsal' : kurumsal
}
return render(request ,'kurumsal.html' , data) | muratyl2k4/temmuzfederasyon | kurumsal/views.py | views.py | py | 269 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Kurumsal.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Kurumsal.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Kurumsal",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": ... |
36047278061 | import matplotlib
import numpy as np
from matplotlib import pyplot as plt
import pickle as pk
def plot():
with open(f'evaluation_selfplay', 'rb') as file:
eval = pk.load(file)
eval = np.array(eval)
eval = eval[:100]
matplotlib.rcParams['figure.dpi'] = 300
plt.plot(np.arange(1, 101), eval[:... | zia-badar/Connect4GameAgent | plots/plot.py | plot.py | py | 1,469 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.plo... |
36612600565 | from turtle import width
import cv2
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import imutils
from torchvision import transforms
from os import makedirs
from xlwt import Workbook
from torch.utils.data import DataLoader
from PIL import Image
from... | Orwell-Yu/ProcessingTimer | ProcessingTimer.py | ProcessingTimer.py | py | 22,586 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 20,
"usage_type": "call"
},
{
... |
15855298865 | from enum import Flag
from bs4 import BeautifulSoup
from requests_html import HTMLSession
from urllib.parse import urlparse
class Crawler:
def __init__(self, url, auth_url, user, password):
self.url = url
self.auth_url = auth_url
self.user = user
self.password = password
se... | mckilllermonster/DevoirPython | crawler.py | crawler.py | py | 7,383 | python | fr | code | 0 | github-code | 21 | [
{
"api_name": "urllib.parse.urlparse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests_html.HTMLSession",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": ... |
31472341258 | import time
from functools import wraps
from flask import request, jsonify
from conf.default import DefaultConfig
from general.response import Response
from conf.code import THROTTLE_ERROR
def throttle(times, seconds=None):
"""
限流器，作为装饰器使用 此限流器 多个方法不共享
:param times: 限流单位 秒 配置内的秒内的访问次数
:param seconds:... | pipihhh/fitness | utils/throttle.py | throttle.py | py | 2,255 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "conf.default.DefaultConfig.THROTTLE_SECONDS",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "conf.default.DefaultConfig",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "general.response.Response",
"line_number": 25,
"usage_type": ... |
8999597237 | from collections import deque
def dfs(v):
value[v] = True
print(v, end=' ')
for i in range(1, n+1):
if arr[v][i] == 1 and value[i]== False:
dfs(i)
def bfs(v):
q = deque([v])
value[v] = True
while q:
now = q.popleft()
print(now, end=' ')
... | msj9965/Baekjoon-Algorithm-Java-group-study | 백준/Silver/1260. DFS와 BFS/DFS와 BFS.py | DFS와 BFS.py | py | 721 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
}
] |
39056255656 | #!/usr/bin/env python
# coding: utf-8
# In[20]:
import pandas as pd
from glob import glob
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
from sklearn.mixture import GaussianMixture
import numpy as np
import json
# In[21]:
class NpEncoder(json.JSONEncoder):
def default(self, obj):
... | aminHZDEV/Final_project | Cluster/cluster.py | cluster.py | py | 12,248 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.JSONEncoder",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.integer",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.floating",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.nd... |
14909403407 | import json
def load_data():
try:
with open("data.json", "r", encoding="utf-8") as file:
data = json.load(file)
return data
except FileNotFoundError:
print("Не найден файл!")
return {}
except json.JSONDecodeError:
print("Что-то не правильно в файле!")
... | dly25/data-different-py | main.py | main.py | py | 3,840 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
}
] |
27957555062 | import pytest
import numpy as np
import pennylane as qml
from pennylane_lightning_gpu import LightningGPU
try:
from pennylane_lightning_gpu.lightning_gpu import CPP_BINARY_AVAILABLE
if not CPP_BINARY_AVAILABLE:
raise ImportError("PennyLane-Lightning-GPU is unsupported on this platform")
except (Impo... | PennyLaneAI/pennylane-lightning-gpu | tests/test_hamiltonian_sparse.py | test_hamiltonian_sparse.py | py | 3,745 | python | en | code | 45 | github-code | 21 | [
{
"api_name": "pennylane_lightning_gpu.lightning_gpu.CPP_BINARY_AVAILABLE",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pytest.skip",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pennylane.Identity",
"line_number": 23,
"usage_type": "call"
},
... |
32314881536 | import pybullet as p
from abc import ABC, abstractmethod
import gym
import numpy as np
from urdfpy import URDF
from obstacled_environments.common.sensors.sensor import Sensor
from enum import Enum
from typing import List
class ControlMode(Enum):
torque = 'tor'
acceleration = 'acc'
velocity = 'v... | runyuma/Planning_project | obstacled_environments/common/generic_robot.py | generic_robot.py | py | 8,404 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "obstacled_environments.common.sensors.s... |
36240344823 | import yaml
import argparse
import os
import sys
import time
from pathlib import Path
import numpy as np
import pandas as pd
os.environ["CUDA_VISIBLE_DEVICES"]='2'
from LMs.LM_model import *
OVERWRITE=True
def main_run(config_file):
start_time = time.time()
dataframes_path = config_file["input_dir_folder"]... | Buguemar/GRTC_GNNs | train_language.py | train_language.py | py | 2,309 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"li... |
1757468770 | import os
import imageio
import logging
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
CWD_DIR = os.path.dirname(__file__)
def CreateGif(image_list, gif_name, duration=0.2):
'''
:param i... | xiaodaxia-2008/PathPlanning | src/GenerateGif.py | GenerateGif.py | py | 956 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.dirname"... |
70873866613 | import pandas as pd
import numpy as np
from scipy.spatial import distance
import rpy2.robjects as robjects
from rpy2.robjects import pandas2ri
import rpy2
import rpy2.robjects.packages as rpackages
import rpy2.robjects as ro
pandas2ri.activate()
import rpy2.robjects.numpy2ri
rpy2.robjects.numpy2ri.activate()
from rpy2.... | YasmineHamdar/UBR-Dockerized | notebooks/extract_rare_per_site.py | extract_rare_per_site.py | py | 22,670 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rpy2.robjects.pandas2ri.activate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.pandas2ri",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rpy2.robjects.numpy2ri.activate",
"line_number": 11,
"usage_type": "call"
},
{... |
72673961653 | import torch.nn as nn
import torch
import os
import numpy as np
import torchvision.utils as vutils
import math
import torch.nn.functional as Funct
class down_block(nn.Module):
#using the input channels I specify the channels at for repeated use of this block
def __init__(self, channels, num_of_convs = 2):
... | crohan009/SweepTheFloor | segnet_model.py | segnet_model.py | py | 14,115 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
20582567590 | import gym
import numpy as np
import random
import torch
from collections import namedtuple
from itertools import count
# Prioritized Experience Replay
# https://arxiv.org/abs/1511.05952
class SumTree:
'''
Every node is the sum of its children, with the priorities as the leaf nodes
'''
write = 0
def __init__... | shinobu-x/reinforcement-learning | replay_buffer/prioritized_replay_buffer.py | prioritized_replay_buffer.py | py | 3,832 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"l... |
74034610294 | #!/usr/bin/env python3
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from seaborn import violinplot
def despine(ax):
"""
Remove upper and right spines of matplotlib
axis object.
Input
---
ax: Matplotlib axis object
Returns
---
Despined copy of ax
""... | athms/many-item-choice | src/utils/plotting.py | plotting.py | py | 5,026 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "numpy.round",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.gca",
"line... |
10063411442 | import requests
from datetime import datetime
from lxml import etree
import re
def get_metar_info(icao):
api_url = f"https://www.aviationweather.gov/adds/dataserver_current/httpparam?dataSource=metars&requestType=retrieve&format=xml&stationString={icao}&hoursBeforeNow=2"
response = requests.get(api_url)
... | rkzwei/CS50 | final-project/prototype.py | prototype.py | py | 5,541 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lxml.etree.fromstring",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_n... |
27885498037 | from discord.ext import commands
from discord.ext.commands import MissingRequiredArgument, CommandNotFound
class Manager(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_ready(self):
print('Bot is ready')
@commands.Cog.listener()
async... | matheusrod21/Duda-Discord-Bot | src/manager.py | manager.py | py | 811 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog.listener",
"line_number": 10,
"usage_type": "call"
},
{
... |
9785297811 | import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
pd.set_option("display.max_columns", None)
pd.set_option("display.width", 500)
pd.set_option("display.float.format", lambda x: "%.2f" % x)
df = sns.load_dataset("taxis")
df_copy = df
#countploty bool değerleri işlemediği için veri setindeki boo... | busranurok/VeriBilimiUygulamalar | kesifci_deneme.py | kesifci_deneme.py | py | 5,372 | python | tr | code | 1 | github-code | 21 | [
{
"api_name": "pandas.set_option",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seaborn.load_datas... |
27738992479 | from collections import Counter
class Solution:
def firstUniqChar(self, s: str) -> int:
z = Counter(s)
index = -1
for i in s:
index +=1
if z[i] == 1:
return index
return -1
s = Solution()
assert 0 == s.firstUniqChar("... | chetna-ravat/LeetCode | Level-1/387-First-Unique-Character-in-String.py | 387-First-Unique-Character-in-String.py | py | 412 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 5,
"usage_type": "call"
}
] |
33897279423 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar
import attr
if TYPE_CHECKING:
from ..models.money_type import MoneyType
T = TypeVar("T", bound="Item")
@attr.s(auto_attribs=True)
class Item:
r"""An item to be sold.
Attributes:
asin (str): The Amazon Standard Identification Num... | milyord/sp-api | sp/fba_smalland_light/models/item.py | item.py | py | 1,754 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_... |
13445080302 |
from flask import Flask, request, redirect, render_template, flash, session
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://build-a-blog:blog@localhost:8889/build-a-blog'
app.config['SQLALCHEMY_ECHO'] = True
db = SQLAlch... | gloriahigley/build-a-blog | main.py | main.py | py | 1,919 | python | en | code | 0 | github-code | 21 | [
{
"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": 28,
"usage_type": "call"
},
{
"api_name": "flask.req... |
15444116227 | import logging
import typing
from uds import models
from .. import test, generators, constants
from ...fixtures import authenticators as authenticators_fixtures, services as service_fixtures
from uds.REST.handlers import AUTH_TOKEN_HEADER
NUMBER_OF_ITEMS_TO_CREATE = 4
class WEBTestCase(test.UDSTransactionTestCase... | Future998/openuds | server/src/tests/utils/web/test.py | test.py | py | 2,462 | python | en | code | null | github-code | 21 | [
{
"api_name": "uds.models.Authenticator",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "uds.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "uds.models.... |
72308765813 | #Program for mathematical model of a falling object using divided difference method or euler's method
#Created by Aashish Loknath Panigrahi
import matplotlib.pyplot as plt
time_arr=[0] #Will store values of time with initial time =0 s
velocity_arr=[0] #Will st... | asxyzp/experiments-in-cs | FallingObjSolarSail/falling_objects.py | falling_objects.py | py | 1,008 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.suptitle",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "m... |
6005559807 | from pathlib import Path
from PySide6.QtCore import QSignalBlocker, Qt, Signal, Slot
from PySide6.QtGui import QDoubleValidator
from PySide6.QtWidgets import QDialog, QMessageBox
from pyminflux.state import State
from ..analysis import prepare_histogram
from ..utils import intersect_2d_ranges
from .ui_wizard import ... | bsse-scf/pyMINFLUX | pyminflux/ui/wizard.py | wizard.py | py | 20,412 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "PySide6.QtWidgets.QDialog",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ui_wizard.Ui_WizardDialog",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PySide6.QtCore.Signal",
"line_number": 15,
"usage_type": "call"
},
{
"api_nam... |
9870401257 | from datetime import datetime
from logging import Logger, getLogger
from requests import Session
from ..lib import IN, web, zonekey
ZONE_KEY = "IN-CT"
URL = "http://117.239.199.203/csptcl/GEN.aspx"
SOURCE = "cspc.co.in"
TIME_FORMAT = "hh:m DD-MM-YY"
def fetch_consumption(
zone_key: str = ZONE_KEY,
session:... | electricitymaps/electricitymaps-contrib | parsers/archived/IN_CT.py | IN_CT.py | py | 2,259 | python | en | code | 3,126 | github-code | 21 | [
{
"api_name": "requests.Session",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",... |
72515371893 | import os
from typing import TYPE_CHECKING
from PyQt6.QtWidgets import QMainWindow, QFileDialog
from PyQt6 import uic
from dsa.model import Model
from dsa.scenario import Scenario
from ui_py.ui_scenario import UIScenario
from ui_py.ui_message import UIMessage
from utils.logger import logger
if TYPE_CHECKING:
fro... | DenisTrputec/DynamicStabilityAssessment | ui_py/ui_model.py | ui_model.py | py | 3,711 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QMainWindow",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dsa.model.Model",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "util... |
27877234355 | """
Implementation of the Body class of the Agent
"""
import logging
from zmqRemoteApi import RemoteAPIClient
from typing import Any, List
import time
import redis
import json
import random
MY_PERC_CH = "PERCEPTIONS" # from the physical body to the virtual body and controller
MY_COMM_CH = "COMMANDS" # from ... | eoanodea/robotics-assignment-1 | Body.py | Body.py | py | 8,077 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number... |
12411950833 | from typing import Optional, Tuple, Union
import pygame
from PPlayMaps import Tileset
from PPlayMaps.types import Vector, Vec
class TileBar:
def calc_size(
self,
position: Vec,
screen_size: Vec,
screen_tile_size: Vec
) -> Tuple[int, int]:
sw, sh = screen_size
tx... | jose-nascimento/pplay-editor | modules/tile_bar.py | tile_bar.py | py | 6,735 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PPlayMaps.types.Vec",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PPlayMaps.types.Vec",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PPlayMaps.types.Vec",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PPlayMaps... |
15480506632 | import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
import cssutils as csu
from copy import copy
from argparse import ArgumentParser
import re
import urllib
import os, sys
####
# parse google doc of guidelines AND editorial policies (html download) and reformat
# for OJS site with (nested?) dropdowns
... | tomadragos/seismica-ojs | parse_google_doc.py | parse_google_doc.py | py | 19,377 | python | en | code | null | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 113,
... |
33105437654 | # -*- coding: utf-8 -*-
import os
import re
import json
import base64
import hashlib
import logging
import signal
from contextlib import contextmanager
from datetime import datetime, timedelta
from subprocess import run, STDOUT, PIPE, TimeoutExpired, CompletedProcess
from tempfile import NamedTemporaryFile
log = loggi... | nuvla/job-engine | code/src/nuvla/connector/utils.py | utils.py | py | 3,636 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromisoformat",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "d... |
13587895172 | import argparse
import random
import json
import numpy as np
import torch
import monai
from copy import deepcopy
from lightning.pytorch import Trainer
import sys
from ..assemble_args import Parser
from ...utils import safe_collate, subsample_dataset
from ...utils.pl_utils import get_devices
from ...monai_transforms i... | CCIG-Champalimaud/adell-mri | lib/entrypoints/classification/test.py | test.py | py | 8,974 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "assemble_args.Parser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.parser.get_params",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "utils.parser.merge_args",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "... |
1876232272 | #!/usr/bin/env python3
'''
Copy Sunstone gerbers output for OSH Park
'''
import os
import sys
try:
from sh import cp
import sh
except:
print('Need sh module')
print('sudo pip3 install sh')
sys.exit(1)
def query_yes_no(question, default="yes"):
"""Ask a yes/no question via input() and return their answer.
"q... | lab11/eagle | scripts/sunstone_to_oshpark.py | sunstone_to_oshpark.py | py | 1,801 | python | en | code | 61 | github-code | 21 | [
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"lin... |
11741417397 | import json
import logging
import datetime
from company_report_vs_peers_service import CompanyReportvsPeersService
from connection import create_db_engine, create_db_session
from query_builder import QuerySQLBuilder
from response_sql import ResponseSQL
from company_anonymization import CompanyAnonymization
from base_me... | kpinetwork/backend | src/handlers/company_report_vs_peers/get_company_report_vs_peers_handler.py | get_company_report_vs_peers_handler.py | py | 2,366 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app_http_headers.AppHttpHeaders",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "connection.create_db_engine",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "connection.create_db_session",
"line_number": 22,
"usage_type": "call"
},
... |
21039203245 | import pytest
from tools.base_agent import BaseAgent
from tools.config_storage import ConfigStorage
from tools.configs import NODE_CONFIG_FILEPATH
from tools.exceptions import NodeNotFoundException
from tools.helper import init_skale
@pytest.fixture(scope="module")
def skale(request):
print("\nskale setup")
... | skalenetwork/skale-nms | tests/integration/test_base_agent.py | test_base_agent.py | py | 1,015 | python | en | code | 13 | github-code | 21 | [
{
"api_name": "tools.helper.init_skale",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tools.base_agent.BaseAgent",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "too... |
18419014035 | import sys
import json
import pprint
import random
pp = pprint.PrettyPrinter(indent=4)
global upset_count_dict
upset_count_dict = {
'total': 0,
'64': 0,
'32': 0,
'16': 0
}
global first_round_upsets
first_round_upsets = {}
global second_round_upsets
second_round_upsets = {}
global sweet_16_upsets
swe... | dliu713/march-madness-predictor-2023 | Experimental_approaches/weighted_sim.py | weighted_sim.py | py | 32,029 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "random.choices",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
15172181354 | # -*- coding: utf-8 -*-
import re
from copy import deepcopy
import scrapy
class SuningSpider(scrapy.Spider):
name = 'suning'
allowed_domains = ['suning.com']
start_urls = ['http://book.suning.com/']
def parse(self, response):
dls = response.xpath('//div[@class="menu-item"]/dl')
sub_... | ChenQi960219/spider_my | build/lib/suningdushu/suningdushu/spiders/suning.py | suning.py | py | 2,582 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"... |
29041140778 | import yfinance as yf
import csv
import pandas
compaines = csv.reader(open('snp500.csv'))
for company in compaines:
symbol, name = company
history_filename = 'directory/{}.csv'.format(symbol)
f = open(history_filename, 'w')
ticker= yf.Ticker(symbol)
df = ticker.history(period='1y')
f.write(df.... | vrainuncensored/Growth-Investing- | snp500History.py | snp500History.py | py | 342 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "yfinance.Ticker",
"line_number": 11,
"usage_type": "call"
}
] |
32767570882 | import pathlib
import platform
import sys
import winreg
from typing import Tuple
def find_windows_sdk() -> Tuple[pathlib.Path, str]:
vers = [
"v10.0", "v8.1A", "v8.1", "v8.0A", "v8.0", "v7.1A", "v7.1", "v7.0a",
"v7.0", "v6.1a", "v6.1", "v6.0a", "v6.0"
]
root = winreg.OpenKey(winreg.HKEY_LO... | wzv5/manifest_tools | findmtexe.py | findmtexe.py | py | 1,206 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "winreg.OpenKey",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "winreg.HKEY_LOCAL_MACHINE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "winreg.KEY_QUERY_VALUE",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_nam... |
38697732369 | import argparse
import csv
import matplotlib.pyplot as plt
import sys
def parse_csv(source):
"""
Puts csv file in memory, 4 different lists; returns headers for labelling graphs, and final values for expecteds
"""
datareader = csv.reader(source, delimiter=',', quotechar='|')
headers = next(datarea... | tcassar/chemSim | graph.py | graph.py | py | 1,554 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stdin.read",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
70348936053 | from __future__ import division, print_function
from future import standard_library
standard_library.install_aliases()
from builtins import object, range, str
from subprocess import getoutput
from copy import copy
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.gridspec as grd
import matplotlib.pyplot as plt... | asugden/pool | scripts/replay/replay-heatmap.py | replay-heatmap.py | py | 32,837 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_n... |
35789127001 | __author__ = 'jgentile', 'ceharvey'
import sys
from collections import OrderedDict
import random
class Scheduler:
__time_series = None
def __init__(self):
""""
Initialize a scheduler for the MABM module
"""
self.__time_series = OrderedDict()
def add_event(self, time, ele... | ceharvs/mabm | mabm/scheduler.py | scheduler.py | py | 1,660 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.maxint",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "random.shuffle",
"line_number": 44,
"usage_type": "call"
}
] |
24672709895 | from fileinput import input
import re
from functools import reduce
"""
498,4 -> 498,6 -> 496,6
503,4 -> 502,4 -> 502,9 -> 494,9
4 5 5
9 0 0
4 0 3
0 ......+...
1 ..........
2 ..........
3 ..........
4 ....#...##
5 ....#...#.
6 ..###...#.
7 ........#.
8 ........#.
9 #########.
"""
rocks = [[(int(x)... | Arxcis/adventofcode2022 | day14/day14.py | day14.py | py | 3,118 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "re.findall",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fileinput.input",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 24,
"usage_type": "call"
}
] |
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