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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7172035429 | """SMPP client module"""
import socket
import select
import struct
import logging
import os.path
import binascii
from . import smpp
from . import exceptions
from . import consts
import pymysql.cursors
import codecs
import re
from time import localtime , strftime
from datetime import datetime
logger = logging.getLogg... | arashkhavari/iot_communication | smpplib/client.py | client.py | py | 15,276 | python | en | code | 10 | github-code | 2 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREA... |
946043791 | import json
import click
import pandas as pd
import requests
from gsan.clean_df import strip_chars
def get_crtsh(domain, timeout=30):
try:
crt_req = requests.get(f"https://crt.sh/?dNSName={domain}&output=json", timeout=timeout).json()
except requests.exceptions.ConnectionError:
click.secho("... | franccesco/getaltname | gsan/crtsh.py | crtsh.py | py | 712 | python | en | code | 353 | github-code | 2 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "click.secho",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"l... |
11738834980 | # Post spørring og få Pandas dataframe i retur
# benytter biblioteket pyjstat for JSON-stat
import requests
from pyjstat import pyjstat
# Demo: Salmon export
POST_URL = "https://data.ssb.no/api/v0/no/table/03024"
def fetch_data():
# API spørring, kan tas fra Konsoll - fryst og fersk laks siste 53 uker
payl... | BergensTidende/bord4-analysis-templates | templates/etl_ssb_api.py | etl_ssb_api.py | py | 940 | python | no | code | 0 | github-code | 2 | [
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pyjstat.pyjstat.Dataset.read",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyjstat.pyjstat.Dataset",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name"... |
15282092124 | import datetime
from datetime import date
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sympy.solvers import solve
from sympy import Symbol
from ytm import ytm, recent_future_coupons, accured_interest
from test import dirty_price
x = Symbol('x')
import math
dates = ['2020-01-15',
'20... | vshah99/APM466-Assignment-1 | spot.py | spot.py | py | 3,417 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "sympy.Symbol",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.date.fromisoformat"... |
24274189156 | import json
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
from tencentcloud.cls.v20201016 impo... | evansastre/devops_best_practice | Infrastructure-as-code/TencentCloud/Interactive_with_tencent_cloud_api_for_log_topic/CreateLogTopic.py | CreateLogTopic.py | py | 2,376 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "tencentcloud.common.credential.Credential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tencentcloud.common.credential",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tencentcloud.common.profile.http_profile.HttpProfile",
"line_number"... |
72327697326 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by import By
import time
obj = webdriver.ChromeOptions()
driver = webdriver.Chrome(options=obj)
driver.get("https://the-internet.herokuapp... | debarati0206/PythonSeleniumPart1 | Python Selenium Automation/PythonProjectSelenium/switch_to_frame.py | switch_to_frame.py | py | 717 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 8,
"usage_type": "call"
},
{
"api_na... |
34030281067 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 18 13:59:06 2022
@FileName: 2529.py
@author: YUNJUSEOK
@Link:https://www.acmicpc.net/problem/2529
"""
#Memory Out
def t1():
N = int( input() );
Mn =( ''.join( ['9']*( N + 1 ) ) )
Mx = '0';
lst = [ i for i in range( 10 ) ];
comp = list( input().spl... | AMIVAYUN/codeTestPrac | BaekJoon/2529.py | 2529.py | py | 1,494 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "itertools.permutations",
"line_number": 24,
"usage_type": "call"
}
] |
19281621696 | from torch.utils.data import Dataset
import pandas as pd
import torch
import numpy as np
from vedo import *
from scipy.spatial import distance_matrix
class Mesh_Dataset(Dataset):
def __init__(self, data_list_path, num_classes=15, patch_size=7000):
"""
Args:
h5_path (string): Path to the... | s-triar/tooth-segmentation-meshsegnet | Mesh_dataset.py | Mesh_dataset.py | py | 6,017 | python | en | code | 8 | github-code | 2 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.is_tensor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",... |
25044104820 | from datetime import time
class myVar():
USER_ID = ""
USER_PASSWORD = ""
USER_MEMBER = 1
USER_REVDATE = None
USER_FMTIME = 0
USER_TOTIME = 0
USER_COURSE = 0
USER_SITE = "소노펠리체 컨트리클럽"
USER_BROWSER = None
USER_URL = 'https://www.sonofelicecc.com/main.dp/dmparse.dm'
# USER_URL... | soonki-kang/sono | myvar.py | myvar.py | py | 836 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "datetime.time",
"line_number": 21,
"usage_type": "call"
}
] |
8956333945 | from __future__ import annotations
from datetime import datetime, timezone, timedelta
from enum import IntEnum, unique
from typing import Optional
from typing_extensions import Final
hk_timezone: Final = timezone(timedelta(hours=8))
def time_equals(
time: datetime,
*,
weekday: Optional[int] = None,
hour: O... | StarvinSon/innolens | packages/simulator/innolens_simulator/utils/time.py | time.py | py | 674 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing_extensions.Final",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timezone",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
42564674681 | #-*- coding: utf-8 -*-
'''
Created on 15 oct. 2022
@author: robert
'''
from django.contrib.auth.decorators import login_required
import locale
from django.http import HttpResponse
import json
from datetime import datetime , timedelta, date
from pytz import timezone
from django.core import serializers
from reserva... | RobertPastor/music-rungis | reservation/views/ManagePeriods.py | ManagePeriods.py | py | 6,287 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "json.JSONEncoder",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pytz.timezone",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "gettingstarted.settings.TIME_ZONE",
"line_number": 35,
"usage_type": "argument"
},
{
"api_nam... |
70321920686 | from typing import List
class SolutionBinarySearch:
def binarySearch(self, nums: List[int], value: int):
start = 0
end = len(nums) - 1
count = 0
while(start <= end):
middle = round((start + end) / 2)
kick = nums[middle]
if (kick == val... | vitormfrey/algorithms-leet-code | binary_search.py | binary_search.py | py | 549 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
34047257741 | import aiohttp
import asyncio
from aiohttp import web
@staticmethod
def sort_by_value(dct):
n = {}
data = []
for i,d in enumerate(dct):
n[i] = float(d["price"])
last = dict(sorted(n.items(), key=lambda item: item[1]))
for i in last:
data.append(dct[i])
return data
@staticmethod
... | oktayozkan0/book-price-comparison | price_comp/comparison/utils.py | utils.py | py | 943 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 28,
"usage_type": "call"
}
] |
40566827821 | import cv2
import numpy as np
import matplotlib.pyplot as plt
#1.a)
def rotate_image(mat, angle):
"""
Rotates an image (angle in degrees) and expands image to avoid cropping
"""
height, width = mat.shape[:2] # image shape has 3 dimensions
image_center = (width/2, height/2) # getRotationMatrix2D ne... | deepakyadav810/Signal-Image-Processing-Sem5 | Assignment3/Assignment3.py | Assignment3.py | py | 4,829 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"l... |
3305119984 | # Import statements
import os
import requests
import json
import datetime
import random
from flask import Flask, render_template, session, redirect, request, url_for, flash
from flask_script import Manager, Shell
from flask_wtf import FlaskForm
from flask import jsonify #for AJAX
from wtforms import StringField, Submit... | vinhluong274/364final | SI364final.py | SI364final.py | py | 25,896 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
1403548320 | import sys
input = sys.stdin.readline
from collections import deque
ANS = []
for i in range(int(input())):
input()
n, m = map(int, input().split())
L = []
for j in range(m):
x, w = map(int, input().split())
L.append((w, x, j))
L.sort()
L = L[:2 * n]
L.sort(key=lambda x: x[1])
L = deque(L)
an... | NahidAkhtar84/Compititive-Coding | codeforces_contest/contest_776/c_saku.py | c_saku.py | py | 562 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
}
] |
38177292760 | import re
import string
import requests
from bs4 import BeautifulSoup
def get_all_players():
"""
Function to get all players that have ever played to euroleague.
Returns a dictionary containing the player name and the player code.
"""
players = {}
for char in list(string.ascii_uppercase):
... | sakisbl/euroleague-scraper | players.py | players.py | py | 1,259 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "string.ascii_uppercase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.findall... |
14317089598 | from flask import Flask
from flask import redirect, render_template, request, session
from flask_sqlalchemy import SQLAlchemy
from os import getenv
from werkzeug.security import check_password_hash, generate_password_hash
from exceptions import RecipeError
app = Flask(__name__)
app.secret_key =getenv("SECRET_KEY")
f... | jullebli/tietokantasovellus-S2020 | app.py | app.py | py | 6,864 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "exceptions.RecipeError",
... |
44772874259 | from skimage.transform import (hough_line, hough_line_peaks)
from estatistics import moda, NULL_ANGLE
from Rotation import rotate
from skimage.feature import canny
import numpy as np
def hough_method(image):
minima_amostragem = 5 #minima amostragem de picos
factor = 1 #fator de ajuste do valor dos picos
... | ZanezZephyrs/Alinhamento_automatico_de_documentos | cleaned_code/Hough_transform.py | Hough_transform.py | py | 848 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "skimage.feature.canny",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "skimage.transform.hough_line",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "skimage.transform.hough_line_peaks",
"line_number": 19,
"usage_type": "call"
},
{
... |
19042862679 | from typing import List
from test_cases import test_cases
class Solution:
# def mergeTwoSortedLists(self, nums1: List[int], nums2: List[int]) -> List[int]:
# res = []
#
# first_ind = sec_ind = 0
# while first_ind < len(nums1) and sec_ind < len(nums2):
# if nums1[first_ind]... | Failjak/leetcode_problems | merge_two_sorted_lists.py | merge_two_sorted_lists.py | py | 1,759 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "test_cases.test_cases",
"line_number": 54,
"usage_type": "call"
}
] |
8384614702 | from typing import List
from utilities import TreeNode, listToBinaryTree
"""
Given the root of a binary tree, return the level order traversal of its nodes' values. (i.e., from left to right, level by level).
Example:
3
/ \
9 20
/ \
15 7
Returns:
[[3],... | SravanthiMalepati/Codepath | order_level_traversal.py | order_level_traversal.py | py | 2,903 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "utilities.TreeNode",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "utilities.listToBinaryTree",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "utilities.l... |
879041358 | import sys, os, logging, csv, subprocess
from threading import Timer,Thread,Event
from logging.handlers import RotatingFileHandler
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import smtplib
"""Script para detectar la rotura de un HDD del RAID HP, gestionado por hpaucli
"""
#Var... | elPansi/Varios | controlaRaid.py | controlaRaid.py | py | 3,348 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "logging.Formatter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name... |
19229812383 | import pygame
import objects
import logger
class Input(object):
'''
Generic Input Class
'''
def __init__(self):
self.events = []
def update(self, game_object):
pass
class FireBallInput(Input):
'''
FireBall Input class
'''
def __init__(self, direction):
sel... | g-mips/CS-290-Video-Game | game_input.py | game_input.py | py | 5,323 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "pygame.K_RIGHT",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_LEFT",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_DOWN",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "pygame.K_SP... |
44432874221 | #!/usr/bin/env python
#
# tournament.py -- implementation of a Swiss-system tournament
#
import psycopg2
def connect():
"""Connect to the PostgreSQL database. Returns a database connection."""
return psycopg2.connect("dbname=tournament")
def deleteMatches():
"""Remove all the match records from the da... | dinker1462/Tournament-Planner | tournament.py | tournament.py | py | 2,296 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "psycopg2.connect",
"line_number": 11,
"usage_type": "call"
}
] |
20140215897 | import logging
import torch.nn.functional
from torch.nn import Dropout, Linear
from torch.nn.modules import Module
LOG = logging.getLogger(__name__)
class FCNetwork(Module):
"""
A simple implementation of a multilayer fully-connected feed-forward neural network.
Args:
in_dim: The number of inpu... | graphaaai/graphaaai | fc_network/fc_network.py | fc_network.py | py | 3,036 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn.modules.Module",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.nn.fu... |
4595685145 | # -*- coding: utf-8 -*-
from __future__ import print_function, division
try:
import cPickle as pickle
except:
import pickle
import numpy as np
from keras.models import Sequential
from keras.optimizers import RMSprop, Adam, Adagrad
from keras.layers import Dense, Dropout, Activation, Embedding
from keras.laye... | shaozhefeng/RNN-GC | models/custom_lstm.py | custom_lstm.py | py | 1,614 | python | en | code | 9 | github-code | 2 | [
{
"api_name": "keras.models.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.regularizers.l1",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras... |
36816384006 | from collections import Counter
def check(num):
count=0
for i in freq:
count+=i[0]//num
if count>=k:
return True
return False
n,k=map(int,input().split())
l=list(map(int,input().split()))
c=Counter(l)
freq=[]
for i in c:
freq.append((c[i],i))
freq.sort(reverse=True)
low=1
high=10**6
while (low<high):
mid=(l... | Naman18055/CF-Solutions | 1077D.py | 1077D.py | py | 611 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
24814924801 |
from typing import Any, Optional
from pytorch_lightning.utilities.types import STEP_OUTPUT
import torch
from vgg_loss import VGGFeatures, style_loss, content_loss
from model_architecture import Encoder, TransConvBlock, Decoder, VGGEncoder
from torch import optim
import pytorch_lightning as L
from torchmetrics.image.fi... | AntonioDOrazio/dlai-texture-synthesis | model.py | model.py | py | 6,474 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "torch.manual_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
20832864086 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from ansible.module_utils.basic import AnsibleModule
DOCUMENTATION = r'''
---
module: healthcheck
author: Pupkin V.
short_description: healthcheck of site
description:
- healthcheck of site with or without TLS
version_added: 1.0.0
requirements:
- requests
- python >= 3... | GlebovSemjon/tensor-school-devops | ansible/4.hometasks/custom_modules_hw/library/healthcheck_py.py | healthcheck_py.py | py | 3,225 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "requests.get",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "reques... |
73738421486 | import json, os, glob, random
from pprint import pprint as pp
NAME = "Just Buddha Beyond"
DESC = 'What is the future world? Will religion influent people mind and living expectation. What will be beyond Buddha or Buddha beyond everthing. "Our NFT will be last for worship forever, Rafael" No Art, No Road, No Utilities... | diewland/special-eureka | 020_just_buddha_beyond_revealed.py | 020_just_buddha_beyond_revealed.py | py | 1,527 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "os.path.basename",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
31990357320 | from rest_framework import serializers
from .models import AwardedMarks, SubtractMarks, Disciplinetype, StudentScore, Voice
class AwardedMarksSerializer(serializers.ModelSerializer):
class Meta:
model=AwardedMarks
fields='__all__'
class SubtractMarksSerializer(serializers.ModelSerializer):
#... | hgh-q/oa_system_master | studentScore/serializers.py | serializers.py | py | 1,595 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.AwardedMarks",
"line_number": 7,
"usage_type": "name"
}... |
13730669507 | import os
import base64
from io import BytesIO
from datetime import datetime
from app import app
import urllib.request
from flask import Flask, flash, request, redirect, url_for, render_template
from werkzeug.utils import secure_filename
from PIL import Image
import RPi.GPIO as GPIO
import time
from implementasi impo... | nailafadhilah/identification-of-dna-bands-from-electrophoresis-image-python-opencv | main.py | main.py | py | 5,667 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.LOW",
"lin... |
24722410500 | #-------------------------------------------------------------------------------------------
# This script contains useful functions to compute the binned event distribution at JUNO
#-------------------------------------------------------------------------------------------
import numpy as np
import scipy as sp
impor... | Harvard-Neutrino/HeavenlyMCP | Scripts/JUNO_distribution.py | JUNO_distribution.py | py | 2,835 | python | en | code | 6 | github-code | 2 | [
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_numb... |
70476086448 | import requests
from bs4 import BeautifulSoup as BS
import time
from datetime import datetime, timedelta
from tqdm import tqdm
urls_data = []
result_data = []
main_url = "https://www.list.am"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'
' AppleWebKit/537.36 (KHTML, like G... | Frogleim/listam_telegram | get_data.py | get_data.py | py | 2,521 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
23830745434 | import torch
from torch.utils.data import Dataset, DataLoader, random_split
import torchvision
from torchvision.transforms import Compose, Resize, ToTensor, Normalize
class DataInference(Dataset):
def __init__(self, x: torch.Tensor, y: torch.Tensor, n_subnets: int):
super(DataInference, self).__init__()
... | MilanKalkenings/small_machine_learning_projects | src/mimo_classification/data_handling.py | data_handling.py | py | 2,525 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.repeat_interleave",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torc... |
5865962480 | # coding:utf-8
import requests
import random
import os
import re
from multiprocessing.dummy import Pool
# from fake_useragent import UserAgent
from lxml import etree
class LiVideoSpider:
'''梨视频爬虫类'''
def __init__(self):
self.st_url = 'https://www.pearvideo.com/category_4' # 首页url
self.p = P... | 13779962543/PythonStudy | 爬虫/高性能异步爬虫/3.线程池在爬虫案例中的应用.py | 3.线程池在爬虫案例中的应用.py | py | 2,996 | python | en | code | 1 | github-code | 27 | [
{
"api_name": "multiprocessing.dummy.Pool",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
... |
74444244526 | from typing import Any, Dict, Optional
from unittest.mock import Mock, patch
from pygments.formatters import TerminalFormatter
from pygments.lexers import PythonLexer
from termcolor import colored
from qwikstart.operations import echo
from .. import helpers
class TestEchoOperation:
def test_string(self) -> Non... | tonysyu/qwikstart | tests/operations/test_echo.py | test_echo.py | py | 2,828 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "termcolor.colored",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pygments.lexers.PythonLexer",
"line_number": 35,
"usage_type": "argument"
},
{
"api_name": "... |
24745272635 | import oedge_plots
import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import savgol_filter
plt.rcParams["font.family"] = "Century Gothic"
plt.rc('axes', unicode_minus=False)
# Some constants.
#ring = 40
mz_amu = 183.84
md_amu = 2.01
mz = mz_amu * 1.66e-27 # Mass of W in kg
md = md_amu * 1.66e-27 ... | shawnzamperini/d3dscripts | 2021/03/nf_forces.py | nf_forces.py | py | 2,020 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "m... |
28939752146 | import pygame
import sys
import os
img_path = os.path.join('Wall.png')
img_path = os.path.join('Blue.png')
img_path = os.path.join('Yellow.png')
class WallObj(object):
def __init__(self):
pygame.sprite.Sprite.__init__(self)
WallObj.image = pygame.image.load('Wall.png')
self.image = pyga... | code-in-the-schools/Pong_Benjamin-King | main.py | main.py | py | 2,758 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "os.path.join",
"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,
... |
25618583825 | """
Visualizing the results of a classification model in streamlit.
"""
import numpy as np
import pandas as pd
import altair as alt
import streamlit as st
from sklearn.datasets import (
load_iris,
load_wine,
fetch_covtype
)
from sklearn.model_selection import train_test_split
from sklearn.ensemble import (... | PacktPublishing/Artificial-Intelligence-with-Python-Cookbook | chapter11/visualizing_model_results.py | visualizing_model_results.py | py | 4,374 | python | en | code | 64 | github-code | 2 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.load_wine",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.fetch_covtype",
"line_number": 27,
"usage_type": "name"
},
{
... |
11168369278 | import torch
def build_optimizer(cfg, net):
params = []
cfg_cp = cfg.optimizer.copy()
cfg_type = cfg_cp.pop('type')
if cfg_type not in dir(torch.optim):
raise ValueError("{} is not defined.".format(cfg_type))
_optim = getattr(torch.optim, cfg_type)
return _optim(net.parameters(), **c... | Turoad/lanedet | lanedet/engine/optimizer.py | optimizer.py | py | 327 | python | en | code | 489 | github-code | 2 | [
{
"api_name": "torch.optim",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.optim",
"line_number": 12,
"usage_type": "attribute"
}
] |
36878638678 | import random
import time
import numpy as np
import numdifftools as nd
from typing import Tuple, List
from numpy.linalg import LinAlgError
def timed(method):
def _timed(*args, **kwargs):
start = time.time()
result = method(*args, **kwargs)
end = time.time()
return result, end - ... | BartlomiejRasztabiga/WSI | 1/minimizer.py | minimizer.py | py | 4,163 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numdifftools.Gradient",
"line_... |
73139850605 | from django.conf.urls import url
from django.urls import path
from miapp import views
urlpatterns = [
path('', views.miindex, name="pag_principal" ),
path('carga_csv', views.cargar_csv),
path('csv', views.descargue_csv),
path('hora', views.mi_vista_cacheada),
path('autenticado', views.mi_vista_auto... | luisza/taller2020 | src/miapp/urls.py | urls.py | py | 500 | python | es | code | 0 | github-code | 2 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "miapp.views.miindex",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "miapp.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",... |
7716486299 | from aiogram import types, Dispatcher
from loguru import logger
from common_obj import bot
from keyboards import kb_action_bill_del
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from database.Postgres import Postgres
from processes import common_handlers
from... | orion951/financial_bot | processes/Category/delete_category.py | delete_category.py | py | 1,969 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 1... |
2512567977 | from setuptools import setup, find_packages
from os import path
__version__ = "1.1.18"
__author__ = "Hapsida @securisec"
def read_requirements():
with open("requirements.txt") as f:
return f.read().splitlines()
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, "R... | securisec/saramPy | setup.py | setup.py | py | 771 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
33049028429 | from typing import Literal, Optional
from fastapi import HTTPException, status
from sqlalchemy import UnaryExpression, and_, or_, select
from ..models.response import (
Classification,
CtfImageNumberList,
FullMovie,
TomogramResponse,
)
from ..models.table import (
CTF,
CryoemInitialModel,
... | DiamondLightSource/pato-backend | src/pato/crud/autoproc.py | autoproc.py | py | 4,611 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "utils.database.db.session.execute",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.database.db.session",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "utils.database.db",
"line_number": 31,
"usage_type": "name"
},
{
... |
39616991518 | from __future__ import print_function, division
from torch.autograd import Variable
from spectral import SpectralNorm
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import numpy as np
import torchvision
from torchvision import datasets, models, transforms
import time... | wqynew/Enhanced-NeoNav | eva_checkpointd1.py | eva_checkpointd1.py | py | 12,638 | python | en | code | 8 | github-code | 2 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.autograd",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "torch.nn"... |
73327301165 | # Python program to find current weather details of any city using openweathermap api
import requests
# Enter your API key here
api_key = "Your_API_Key"
# base_url variable to store url
base_url = "http://api.openweathermap.org/data/2.5/weather?"
# Give city name
city_name = input("Enter city name : ")
... | Python-World/python-mini-projects | projects/Fetch_current_weather/fetch_current_weather.py | fetch_current_weather.py | py | 1,076 | python | en | code | 13,393 | github-code | 2 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
42315096400 | import numpy as np
from numpy.typing import ArrayLike
from scipy import signal
from scipy.fft import fft
# Frequency-domain features
FREQ_FEATURES = {
"f1sc": lambda x, freqs: x[np.where(np.logical_and(freqs > 0.1, freqs < 0.2))].mean(),
"f2sc": lambda x, freqs: x[np.where(np.logical_and(freqs > 0.2, freqs < 0... | obss/BIOBSS | biobss/edatools/eda_freqdomain.py | eda_freqdomain.py | py | 1,813 | python | en | code | 66 | github-code | 2 | [
{
"api_name": "numpy.where",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_... |
3051399105 | import argparse
import numpy as np
from tqdm import tqdm, trange
from word2vec import load_model as load_word2vec
from file_io import parse, read_file
from preprocess import get_token_mapping, tokenize
from evaluate import get_scores, write_predictions
def one_hot_encode(n, depth):
a = np.zeros([depth])
a[n] ... | kohjingyu/hidden-markov-model | part5/mlp.py | mlp.py | py | 9,232 | python | en | code | 4 | github-code | 2 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "preprocess.tokenize",
"line_numbe... |
5572647327 | import requests
import json
import pprint
import time
import random
# response = requests.get('https://opentdb.com/api.php?amount=15&category=9&difficulty=easy', headers = {'Authorization': 'Token token="855df50978dc9afd6bf86579913c9f8b"'})
# results = response.json()
user_input = input('Would you like to play a triv... | PdxCodeGuild/class_swordfish | code/jose/Python_Labs/minicapstone.py | minicapstone.py | py | 4,036 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 21,
... |
5442362644 | import torch
from torch.autograd import Variable
import torch.nn as nn
from torch.nn import functional as F
from .networks import compute_same_padding2d, _pair, _triple
class AdapCNN(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1, dilation=1, groups=1, bias=True, padding=1):... | liulingbo918/PANet_for_WildSketch | models/acnn.py | acnn.py | py | 4,813 | python | en | code | 3 | github-code | 2 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.conv3d",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn.funct... |
21844578555 | # -*- coding: utf-8 -*-
"""
@author: Oluwayelu Ifeoluwa
Leetcode 102: Binary Tree Level Order Traversal
"""
from collections import deque
from data_structures.BinaryTree import TreeNode
def levelTraversl(root):
res = []
q = deque([root])
while q:
level = []
for _ in ran... | Oluwayelu/Blind-75 | Blind 64.py | Blind 64.py | py | 682 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "data_structures.BinaryTree.TreeNode",
"line_number": 30,
"usage_type": "call"
}
] |
69937931271 | from django.http import HttpResponse
import json
class JsonHttpResponseBuilder(object):
""" HttpReponse builder for JSON output """
def __init__(self, status, message, extras=None):
if not extras:
extras = dict()
self.status = status
self.message = message
self.ext... | karllindmark/IsYourProjectUpToDate | backend/JsonHttpResponseBuilder.py | JsonHttpResponseBuilder.py | py | 637 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
}
] |
38465924288 | import json
def filter_reviews():
"""
Filters reviews, which will be read from models/stars_from_metadata.py.
"""
with open("yelp_dataset_challenge_round9/yelp_academic_dataset_review.json", "rb") as f:
filtered_reviews = []
for i, line in enumerate(f):
review = json.loads(line)
filtered_re... | gnedivad/yelp | data/script.py | script.py | py | 613 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 18,
"usage_type": "call"
}
] |
15757086858 | from sklearn.metrics import confusion_matrix, f1_score, precision_score, recall_score
import tensorflow as tf
import numpy as np
# prec = tf.keras.metrics.Precison
# rec = tf.keras.metrics.Recall
def calc_confusion_matrix(y_true , y_pred):
Ypred = np.argmax(y_pred, axis=1)
Ytrue = np.argmax(y_true, axis=1)
... | fariba87/Docker-Django-Genre-Classification | FinalProject/MLcode/modules/evaluation.py | evaluation.py | py | 754 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "numpy.argmax",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.argmax"... |
35276544624 | #!/usr/bin/python3
# Library containing useful functions for the generation of Truncated Pluri-Gaussian Simulations (TPG)
import numpy as np
from numpy.linalg import inv, norm, lstsq
from scipy.spatial.distance import squareform, pdist
from scipy.linalg import solve
from scipy.special import erf
from scipy.optimize i... | lamd91/plurigaussian | tpg.py | tpg.py | py | 39,654 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "numpy.hstack",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_... |
6314119012 | import statistics
import common.constants as const
from random import random
from random import seed
try:
from matplotlib import pyplot
except ModuleNotFoundError:
print('matplotlib was not fund. \nPlease, run: \n\t\'pip install matplotlib\' or \'pip3 install matplotlib\' \nto install the library')
exit(1)
... | elimarmacena/pso_minimizer | src/common/utils.py | utils.py | py | 4,148 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.constants.USED_SEED",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "common.constants",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.r... |
18626289363 | import cv2
import qrcode
cap = cv2.VideoCapture(0)#Abrir la web cam de mi computadora
detector = cv2.QRCodeDetector()
while True:
success, img = cap.read()
data, _ , _ =detector.detectAndDecode(img)
#Si se encuntra algun dato en el código Qr mostrarlo
if data != '':
print (data)
cv2.imshow(... | AlejandroRubioB/Qr | Leer Qr.py | Leer Qr.py | py | 423 | python | es | code | 0 | github-code | 2 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.QRCodeDetector",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_... |
71947599113 | import os
import logging
class Config(object):
_current_dir_path = os.path.dirname(os.path.realpath(__file__))
resources_path = '{}/resources'.format(_current_dir_path)
books_path = '{}/books'.format(resources_path)
logging_level = logging.INFO
logging.basicConfig(format='%(asctime)s - %(name)s ... | THidja/daar_back | engine/__init__.py | __init__.py | py | 449 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_n... |
36057723491 | from beir import util, LoggingHandler
from beir.datasets.data_loader import GenericDataLoader
from sentence_transformers import SentenceTransformer
from torch.utils.data import DataLoader
from sprint.train.dataloaders import MSMARCODataset
from sprint.train import models, losses
from datetime import datetime
import l... | thakur-nandan/sprint | examples/train/splade/train_distilmax_1000bm25_negs.py | train_distilmax_1000bm25_negs.py | py | 6,168 | python | en | code | 35 | github-code | 2 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "beir.LoggingHandler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.Ar... |
4447756757 | from netCDF4 import Dataset
import numpy as np
import argparse
#-----------------------------------------------------------------------
def error_analysis_stress_divergence(testName, ignoreWeak=False):
# taylor series terms:
# 0: f(x0,y0)
# 1: df/dx(x0,y0) \Delta x
# 2: df/dy(x0,y0) \Delta y
# 3:... | MPAS-Dev/MPAS-Seaice_standalone_framework | testcases/square/operators_stress_divergence/error_analysis_stress_divergence.py | error_analysis_stress_divergence.py | py | 9,520 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
31304687079 | from pathlib import Path
import os
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtWidgets import QWidget, QFileDialog, QMainWindow
from PyQt5.QtCore import QPropertyAnimation, QRect, pyqtProperty, Qt, QEasingCurve, QUrl
from Design.CustomWidgets.newToast import QToaster
from Design.CustomWidgets.styleSheets.... | newprev/PrevCliente | Design/CustomWidgets/newPopupCNIS.py | newPopupCNIS.py | py | 4,807 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Design.pyUi.wdgEnviaCNIS.Ui_wdgEnviaCNIS",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 18,
"usage_type": "name"
... |
23889659272 | from django.test import TestCase, tag
from django.urls import reverse
from .models import Album, Artist, Contact, Booking
@tag('home')
class IndexPageTestCase(TestCase):
@tag('200')
def test_index_page(self):
response = self.client.get(reverse('store:home'))
self.assertEqual(response.status_co... | BabouZ17/disquaire | store/tests.py | tests.py | py | 2,598 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.test.tag",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.test.ta... |
18378728582 | from asyncore import write
from dataclasses import field
from datetime import timedelta
from management.schedule_management.models import *
from rest_framework import serializers
class AppointmentTypeSerializer(serializers.ModelSerializer):
class Meta:
model = AppointmentType
fields = '__all__'
... | shehrozkapoor/firstcare | firstcare-backend/management/schedule_management/api/serializers.py | serializers.py | py | 1,952 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
... |
10168491241 | import json
while True:
status = True
number_plate = ""
number_plates = {}
with open('plate_info.json', 'r') as file, open('mokytoju_numeriai.json', 'r') as plate_file:
json_mokytoju = json.load(plate_file)
json_file = json.load(file)
for i in json_file['results']:
... | Benas137/ALPR | ALPR_Project/inspecting.py | inspecting.py | py | 718 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
}
] |
6121187179 | from itertools import permutations
from Extra_File import get_primes_up_to
numbers = list(permutations(list('0123456789'), 10))
numbers = list(map(lambda x: ''.join(x), numbers))
primes = list(get_primes_up_to(18))
primes.sort()
total = 0
for num in numbers:
check = True
for i in range(1, len(num)-2):
... | LeeClayberg/Project-Euler | Problem_043.py | Problem_043.py | py | 457 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "itertools.permutations",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "Extra_File.get_primes_up_to",
"line_number": 6,
"usage_type": "call"
}
] |
20388570397 | """
Developed by Projeto Continentais and Petrobras
author: Rudi César Comiotto Modena
email: rmodena@unisinos.br
date: July, 2020
"""
from continentalfuzzy.domain.definition.ControllerType import ControllerType
from continentalfuzzy.service.MamdaniControllerService import MamdaniControllerService
from continentalfuzzy... | rccmodena/ContinentalFuzzyPython | continentalfuzzy/applicationservice/FuzzyControlApplicationService.py | FuzzyControlApplicationService.py | py | 7,716 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "psutil.cpu_count",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "continentalfuzzy.dto.FuzzyControlCommandInput.FuzzyControlCommandInput",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "continentalfuzzy.dto.FuzzyControlCommandOutput.FuzzyContr... |
23920408339 | import ctypes
import subprocess as sp
import sys
from ctypes import wintypes
from datetime import datetime
from hashlib import sha1
from os import path, remove
from re import search
from tkinter.filedialog import askopenfilename
from psutil import process_iter, NoSuchProcess, AccessDenied
from src.datas import *
from... | GuillaumeMCK/PyPass-SAB | src/patcher.py | patcher.py | py | 15,642 | python | en | code | 31 | github-code | 2 | [
{
"api_name": "ctypes.c_char",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "ctypes.wintypes.DWORD",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "ctypes.wintypes",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "ctypes.... |
18858215947 | import bubblebuster.input as inp
from bubblebuster.sound import SoundMan, SoundNames
from bubblebuster.font import FontMan, FontNames
import bubblebuster.scene.scene as sc
import bubblebuster.player as pl
import pygame
class LMouseClickRectObserver(inp.InputObserver):
# this is just for weapon carousels for now
... | abergie5b/BubbleBuster | bubblebuster/input/lmouseclickrectobserver.py | lmouseclickrectobserver.py | py | 2,034 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "bubblebuster.input.InputObserver",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bubblebuster.input",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bu... |
24748516854 | import pickle
import random
from time import time
from typing import Union
import numpy as np
import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.nn.functional import mse_loss, l1_loss, binary_cross_entropy, cross_entropy
from torch.optim import Optimizer
class NBeatsNet(nn.Modul... | philipperemy/n-beats | nbeats_pytorch/model.py | model.py | py | 12,802 | python | en | code | 773 | github-code | 2 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.ParameterList",
... |
824870202 | """blockchain URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | picocn/blockchain | blockchain/urls.py | urls.py | py | 1,963 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "af.views.index",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "af.views",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.ur... |
73310599752 | import numpy as np
from scipy.linalg import solve_toeplitz, solve
from scipy.signal import fftconvolve
from scipy.interpolate import Rbf
from scorr import xcorr, xcorr_grouped_df, xcorrshift, fftcrop, corr_mat
# Helpers
# =====================================================================
def integrate(x... | felixpatzelt/priceprop | priceprop/propagator.py | propagator.py | py | 10,872 | python | en | code | 20 | github-code | 27 | [
{
"api_name": "numpy.concatenate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.cumsum",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_num... |
9839399142 | """
Support for MQTT lights.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/light.mqtt/
"""
import logging
import voluptuous as vol
import homeassistant.components.mqtt as mqtt
from homeassistant.components.light import (
ATTR_BRIGHTNESS, ATTR_RGB_... | NAStools/homeassistant | homeassistant/components/light/mqtt.py | mqtt.py | py | 11,231 | python | en | code | 14 | github-code | 27 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.mqtt.MQTT_RW_PLATFORM_SCHEMA.extend",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.mqtt.MQTT_RW_PLATFORM_SCHEMA",
"line_... |
31163516038 | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
PROJECT_ROOT = os.path.dirname(os.path.abspath(os.path.dirname(__file__)))
sys.path.insert(0, PROJECT_ROOT)
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'tests.settings')
from django.core.m... | Borderless360/django-logic | tests/manage.py | manage.py | py | 443 | python | en | code | 51 | github-code | 27 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line... |
10353840209 | from fastapi import FastAPI
from todo_list.routers import auth, user
from todo_list import database
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
origins = [
"http://localhost:8080",
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_me... | barbieri97/todo_app_fullstack | backend/main.py | main.py | py | 561 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "todo_list.routers.auth.router",
"line_number": 21,
"usage_type": "attribute"
... |
14985605861 | import os
from pathlib import Path
import shutil
PARTICIPANTS = ["kairat", "mj", "doohoon", "hyun", "hyunjin", "dongchang", "beoms"]
def touch(cur, top, participants):
assert top in ('bitcoin', 'cookbook')
dname = f'{top}/'
for p in participants:
path = f'{dname}/{p}'
os.makedirs(path, e... | leedc0101/programming-bitcoin | manage.py | manage.py | py | 1,293 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "os.makedirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
}
] |
41900677775 | import numpy as np
import math
from math import exp
import constants as const
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy.linalg as lng
def get_error(s, a=0, b=0, c=0, d=0):
error = [si - a - b * ti - c * ti ** 2 - d * ti ** 3 for si in s for ti i... | terentyevkirill/intelligent-data-analysis | lab8/row_model.py | row_model.py | py | 11,402 | python | en | code | 0 | github-code | 2 | [
{
"api_name": "constants.arange",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.power",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "constants.arange",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.power",... |
16267003262 | import logging
import os
import socket
import subprocess
import traceback
import time
from shlex import split
from urwid import Text, raw_display, Pile, ListBox, SimpleListWalker
from ucm.Widgets import ListView, ListItem
from ucm.Registry import Registry
from ucm.UserConfig import UserConfig
from ucm.Dialogs import D... | rszabo50/ucm | src/ucm/SwarmListView.py | SwarmListView.py | py | 6,038 | python | en | code | 1 | github-code | 2 | [
{
"api_name": "socket.getfqdn",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.getaddrinfo",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.getaddrin... |
14296301616 | import os
import time
import argparse
import tensorflow as tf
from prepare_data import build_dataset
from config import NAME2OPTIMIZER, NAME2MODEL
from utils import create_embedding_matrix, scheduler, plot_history
def train(args):
if not os.path.exists(args['work_dir']):
os.mkdir(args['work_dir'])
... | tiennvcs/GIST_coding_interview | train.py | train.py | py | 4,447 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "prepare_data.build_dataset",
... |
23371105285 | from api.filters import IngredientFilter, RecipeFilter
from api.serializers import (CustomUserCreateSerializer, CustomUserSerializer,
Favorite_Shopping_cartSerializer,
IngredientSerializer, RecipeListSerializer,
RecipeSerializer,... | comdastim/foodgram-project-react | backend/api/views.py | views.py | py | 6,862 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "djoser.views.UserViewSet",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "users.models.User.objects.all",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "users.models.User.objects",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
6095699427 | from threading import Thread
import paho.mqtt.client as mqtt
from tenacity import retry
class Lamp:
@retry()
def __init__(self, room):
self.room = room
self.client = mqtt.Client(client_id=f"Lamp_{room.roomName}")
thread = Thread(target=self.initialize_mqtt)
thread.start()
... | Martina99188/SE4AS | ManagedResource/Lamp.py | Lamp.py | py | 1,227 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "paho.mqtt.client.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tenacity.re... |
16730961440 | from flask import Flask, json, request, render_template
import os
import pymysql
app = Flask(__name__)
username = os.environ.get('CLOUD_SQL_USERNAME')
password = os.environ.get('CLOUD_SQL_PASSWORD')
name = os.environ.get('CLOUD_SQL_DATABASE_NAME')
conn_name = os.environ.get('CLOUD_SQL_CONNECTION_NAME')
def open_conn... | yogaprasetia/capstone-predix | web-api/main.py | main.py | py | 1,698 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_nu... |
42578385860 | """websocket-client bassd Socket Mode client
* https://api.slack.com/apis/connections/socket
* https://slack.dev/python-slack-sdk/socket-mode/
* https://pypi.org/project/websocket-client/
"""
import logging
from concurrent.futures.thread import ThreadPoolExecutor
from logging import Logger
from queue import Queue
fro... | slackapi/python-slack-sdk | slack_sdk/socket_mode/websocket_client/__init__.py | __init__.py | py | 10,565 | python | en | code | 3,729 | github-code | 27 | [
{
"api_name": "slack_sdk.socket_mode.client.BaseSocketModeClient",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "slack_sdk.web.WebClient",
"line_number": 30,
"usage_type": "name"
},
... |
70253079752 | import vadvisor
import pytest
import webtest
from prometheus_client import REGISTRY
from vadvisor.store.collector import InMemoryStore as MetricStore
from vadvisor.app.prometheus import LibvirtCollector
@pytest.fixture
def _app():
class Collector:
def __init__(self):
self.metrics = []
... | kubevirt/vAdvisor | tests/app/test_metrics.py | test_metrics.py | py | 1,386 | python | en | code | 14 | github-code | 27 | [
{
"api_name": "vadvisor.app",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "vadvisor.store.collector.InMemoryStore",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "prometheus_client.REGISTRY.register",
"line_number": 26,
"usage_type": "call"
... |
22246080038 | from __future__ import division
from __future__ import print_function
import time
import os
import tensorflow as tf
import numpy as np
import scipy.sparse as sp
from sklearn.metrics import roc_auc_score
from sklearn.metrics import average_precision_score
from optimizer import OptimizerCAN
from input_data import load_A... | mengzaiqiao/CAN | train.py | train.py | py | 7,619 | python | en | code | 63 | github-code | 27 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.flags",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "input_data.load_AN",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.sparse... |
19950815936 | from concurrent.futures import ProcessPoolExecutor as Pool
from Plugins.base import Base
import sys, json, os
print("Snake-Ping")
plugins = os.listdir("Plugins")
if len(sys.argv) < 3: exit("Missing params, e.g NL 1.1.1.1")
origin = sys.argv[1]
target = sys.argv[2]
pluginToLoad = sys.argv[3] if len(sys.argv) == 4 else... | Ne00n/Snake-Ping | snake.py | snake.py | py | 3,185 | python | en | code | 10 | github-code | 27 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,... |
27198340550 | import random
import time
from app import app
from flask import render_template, redirect, url_for, flash, request
from flask_login import login_user, logout_user, login_required
from app.forms import SignUpForm, LoginForm, ProblemForm, EditUserForm
from app.models import User, Score
@app.route('/')
def index():
... | terrykub80/Math-Mash | app/routes.py | routes.py | py | 8,459 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.models.User.query.all... |
38963114627 | import logging
from subprocess import PIPE
from time import sleep
from unittest import TestCase, mock
from unittest.mock import call
from hoststats.client import HostStats
from hoststats.stats import FORWARD_HEADER
from hoststats.validation import validate_csv_data
class MockResponse:
def __init__(self, text, js... | Shillaker/hoststats | hoststats/tests/test_client.py | test_client.py | py | 5,490 | python | en | code | 3 | github-code | 27 | [
{
"api_name": "logging.debug",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "hoststats.client.HostSt... |
11713385039 | import nltk
import os
from nltk.tree.prettyprinter import TreePrettyPrinter
class SyntaxTree:
__JARS = (
"C:/Storage/Modules/Stanford NLP Core/stanford-corenlp-4.4.0.jar",
"C:/Storage/Modules/Stanford NLP Core/stanford-corenlp-4.4.0-models.jar"
)
os.environ['JAVAHOME'] = "C:/Program File... | karicotiza/natural_language_interface | Лабораторная 4/Код/nlp.py | nlp.py | py | 2,129 | python | en | code | 4 | github-code | 27 | [
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "nltk.parse.corenlp.CoreNLPServer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.parse",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "nltk... |
73135455433 | import csv
import calendar
import datetime
from collections import defaultdict
from decimal import Decimal
from io import StringIO
from fastapi import status, Depends, HTTPException
from sqlalchemy.orm import Session
from exceptions import ExceptionDescription
from storage import tables
from storage.database import g... | ArturMalkov/avito_backend_2022_account_balance_microservice_python_version | services/reports.py | reports.py | py | 2,824 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "storage.database.get_db_session",
"line_number": 18,
"usage_type": "argument"
},
{
"api_na... |
42246160010 | """
@author: David Lei
@since: 19/10/2017
"""
import functools
def permuate(string, permutation_holder, call_num):
"""Order is important in permutations.
For a string of length n there are n! permutations.
Args:
call_num: used to help understand the complexity of the algorithm for each call print... | qifanyyy/JupyterNotebook | new_algs/Sequence+algorithms/Selection+algorithm/permutations_of_a_string.py | permutations_of_a_string.py | py | 1,692 | python | en | code | 8 | github-code | 27 | [
{
"api_name": "functools.reduce",
"line_number": 36,
"usage_type": "call"
}
] |
12833003384 | from typing import Optional
from .aws import Action as BaseAction
from .aws import BaseARN
service_name = "Database Query Metadata Service"
prefix = "dbqms"
class Action(BaseAction):
def __init__(self, action: Optional[str] = None) -> None:
super().__init__(prefix, action)
class ARN(BaseARN):
def ... | cloudtools/awacs | awacs/dbqms.py | dbqms.py | py | 1,117 | python | en | code | 389 | github-code | 27 | [
{
"api_name": "aws.Action",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "aws.BaseARN",
"line_number": 15,
"usage_type": "name"
}
] |
13902208368 | import unittest
import invariants
import networkx as nx
import numpy as np
import logging
# Start the logger
# logging.root.setLevel(logging.INFO)
K4_prop = {
"n_vertex": 4,
"n_edge": 6,
"automorphism_group_n": 24,
"chromatic_number": 4,
"diameter": 1,
"is_strongly_regular": True,
"radius"... | thoppe/Encyclopedia-of-Finite-Graphs | src/unit_tests.py | unit_tests.py | py | 3,958 | python | en | code | 12 | github-code | 27 | [
{
"api_name": "networkx.complete_graph",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "invariant... |
38082510762 | import torch
import math
from torch import nn
from torch.nn import functional as F
custom_config = {'base' : {'strategy': 'base_adam',
'batch': 8,
},
'customized': {'--abc': {'type': float, 'default': 0},
... | moothes/SALOD | methods/edn.py | edn.py | py | 16,575 | python | en | code | 38 | github-code | 27 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
70608533191 | import argparse
import os
import time
import torch
import torch.nn as nn
import torchvision.datasets as datasets
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from noname import *
import numpy as np
import json
import os
fr... | giscard88/hypothesis-building | MNIST/gen_association.py | gen_association.py | py | 3,417 | python | en | code | 0 | github-code | 27 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "torch... |
16664531790 | # encoding: utf8
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('website', '0003_auto_20140601_1040'),
]
operations = [
migrations.AlterField(
model_name='voting',
name='vo... | pskamburov/world-cup | worldcup/website/migrations/0004_auto_20140601_1224.py | 0004_auto_20140601_1224.py | py | 491 | python | en | code | 1 | github-code | 27 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
27170622540 | from __future__ import division
import sys, pygame, spritesheet, wordwrap
import random
import numpy
import math
import cProfile
from wordwrap import render_textrect
WIDTH = HEIGHT = 300
TILE_SIZE = 20
VISIBLE_MAP_SIZE = 10
CHAR_XY = WIDTH / 2
GRAVITY = 1
MAP_SIZE_TILES = 20
MAP_SIZE_PIXELS = MAP_SIZE_TILES * TILE_SIZ... | johnfn/ld23 | main.py | main.py | py | 50,822 | python | en | code | 2 | github-code | 2 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "pygame.RLE... |
38562724180 | import importlib.util
from typing import List, Iterator, Dict, Tuple, Any, Type
from torch.utils.data import DataLoader
import time
from models import build_model
import requests
import pickle
from utils import *
def load_defender(model_name, student_id, name, task_folder, task, device, pretrained_file="models/lenet_m... | kamillesuayan/maestro-class | playground/defense_homework/Evaluator.py | Evaluator.py | py | 7,098 | python | en | code | 2 | github-code | 27 | [
{
"api_name": "importlib.util.util.spec_from_file_location",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "importlib.util.util",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "importlib.util",
"line_number": 11,
"usage_type": "name"
},
{
... |
27777535021 | import sqlite3
import datetime
import os
import json
from scripts.artifacts.appCookies import get_appCookies
from scripts.artifact_report import ArtifactHtmlReport
from scripts.cleapfuncs import logfunc, tsv, timeline, is_platform_windows, open_sqlite_db_readonly
def get_skype(files_found, report_folder, seeker, wrap... | markmckinnon/cLeapp | scripts/artifacts/skype.py | skype.py | py | 2,981 | python | en | code | 34 | github-code | 27 | [
{
"api_name": "scripts.cleapfuncs.open_sqlite_db_readonly",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scripts.cleapfuncs.open_sqlite_db_readonly",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "scripts.artifact_report.ArtifactHtmlReport",
"line_numb... |
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