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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
21773433414 | import cv2 as cv
import numpy as np
video=cv.VideoCapture(0)
windowClose = np.ones((5, 5), np.uint8)
windowOpen = np.ones((2, 2), np.uint8)
windowErode = np.ones((2, 2), np.uint8)
face_cascade = cv.CascadeClassifier('D:/opencvextracted/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
eye_... | dixitakhil/OpencvPython | projects/pupils/pupildetection.py | pupildetection.py | py | 3,606 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_numb... |
14592214696 | import datetime
import uuid
from py4web import request, URL
from pydal.validators import *
from .my_validators import IS_ISO_DATETIME, IS_REAL_LIST_OF_EMAILS, IS_DOMAIN
from .components.vueform import VueForm
from .constants import *
from .common import db, session, auth, Field
from .util import random_id
from .comm... | lucadealfaro/notebookgrader-app | api_assignment_form.py | api_assignment_form.py | py | 6,203 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "common.Field",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "common.Field",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "my_validators.IS_DOMAIN",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "common.Field",
... |
4306889332 | import re
import csv
import requests
from bs4 import BeautifulSoup
from random import choice
COUNTER = 0
def get_proxy():
html = requests.get('https://free-proxy-list.net/').text
soup = BeautifulSoup(html, 'lxml')
trs = soup.find('table', id='proxylisttable').find_all('tr')[50:100]
proxies = []
f... | jurgeon018/scraping | blezer/blezer.py | blezer.py | py | 10,283 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line... |
2053476407 | import json
from database import ForumDB
import requests
TOKEN = "5466989984:AAHIwjOaHUMHPkMNlGqRtta_T8oWx9L_1bg"
URL = "https://api.telegram.org/bot{}/".format(TOKEN)
DB = ForumDB()
last_msg = 'none'
def send_msg(msg):
url = URL + 'sendMessage?chat_id=224133650&text={}'.format(msg) + '&parse_mode=HTML&reply_ma... | MSabitjanov/cs50-final_project | tgforum.py | tgforum.py | py | 3,735 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "database.ForumDB",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line... |
12887263206 | import datetime
current_Date_Time = datetime.datetime.now()
date = current_Date_Time.date()
year = date.strftime("%Y")
print(f"Current Year -> {year}")
year = int(year)
username = input("What is your username? ")
print(f"Wow that is a nice name {username}")
user_age = input("What is your age? ")
print(f"Dear {userna... | AndrisKatkovskisHomeWork/TietoEvry_Febr_23 | febr_23.py | febr_23.py | py | 1,440 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "attribute"
}
] |
17820558944 | """empty message
Revision ID: 34a42af4014a
Revises:
Create Date: 2023-09-06 17:37:29.581281
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '34a42af4014a'
down_revision = None
branch_labels = None
depends_on = None
def up... | MhmmdKcrl/StudentsApp-Flask | migrations/versions/34a42af4014a_.py | 34a42af4014a_.py | py | 2,453 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "alembic... |
37758064394 | """
ASGI config for optima project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
import dotenv
from channels.routing import ProtocolTypeRouter, URLRouter
from django.cor... | Eukip/oms | backend/optima/asgi.py | asgi.py | py | 889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
22081742286 |
import sys
from functools import partial
from defect.circuit import load_circuit
from defect import analysis
import defect.filetypes.internal as fileio
import networkx as nx
EATTR_CHANGE = 'delta' # float - change in current
EATTR_SOURCE = 'src' # node - positive-sign source for EATTR_CHANGE
EATTRS = [EATTR... | ExpHP/defect | defect/scripts/plotting/currents.py | currents.py | py | 7,193 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
5352963252 | # -*- coding: cp1252 -*-
########################################################################################################
########################################################################################################
"""
Code_2_Downscaling_and_Bias_Correcting_CM... | refewster/Imminent-loss-of-climate-space-for-Eurasian-permafrost-peatlands- | Code_2_Downscaling_and_Bias_Correcting_CMIP6_climate_projections.py | Code_2_Downscaling_and_Bias_Correcting_CMIP6_climate_projections.py | py | 67,966 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "xarray.open_mfdataset",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "xarray.open_mfdataset",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "xarray.open_mfdataset",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "xar... |
11112495354 | from rsa import *
from hashlib import sha256
from Crypto.Util.number import long_to_bytes, bytes_to_long
import gmpy2
import sys
sha256_asn1 = b'\x30\x31\x30\x0d\x06\x09\x60\x86\x48\x01\x65\x03\x04\x02\x01\x05\x00\x04\x20'
# matches the c impl
def verify_sig(signature,message,pk):
#generate clearsig
e,n = pk
... | o-o-overflow/dc2021f-barb-metal-public | service/src/expl/fakesign.py | fakesign.py | py | 1,957 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Crypto.Util.number.long_to_bytes",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "Crypto... |
1806846451 | from DistGNN.dataloading import load_dataset
import argparse
import os
import time
import torch
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--root',
default='dataset/',
help='Path of the dataset.')
parser.add_argument("-... | CommediaJW/Graph-Part-bench | graph_process/weighted_metis_format.py | weighted_metis_format.py | py | 3,700 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "DistGNN.dataloading.load_dataset",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ti... |
38858268918 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import seaborn as sn
from sklearn import metrics
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
import pandas as pd
from sklearn.utils import shuffle
#--... | AmitaiBiton/OneVsAll-One | main.py | main.py | py | 4,865 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy... |
100224365 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# import sys
# import getpass
# import os
# import json as _JSON
# import uharfbuzz as HB ### NOTE import after ctx available ###
#-----------------------------------------------------------------------------------------------------------
def _get_cache( ctx ):
R = c... | loveencounterflow/intershop-intertext | intershop_modules/myharfbuzz.py | myharfbuzz.py | py | 5,024 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uharfbuzz.Face",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "uharfbuzz.Font",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "uharfbuzz.ot_font_set_funcs",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "uharfbuzz.B... |
42674900097 | import numpy as np
import matplotlib.pyplot as plt
N = 50
nilai_x = np.linspace(-5, 5, N)
nilai_y = np.linspace(-5, 5, N)
def function_z (x, y):
z = 50 - (x**2 + y**2)
return z
x, y = np.meshgrid(nilai_x, nilai_y)
z = function_z(x, y)
print(z)
ax = plt.axes(projection = '3d')
ax.plot_su... | iqram1337/praktikum-komputasi-geofisika | plot 3d pt2.py | plot 3d pt2.py | py | 376 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axes",
... |
197067150 | from copy import deepcopy
import os
import subprocess
from tempfile import NamedTemporaryFile
from librarian import OutputFile
def transform(wldoc, verbose=False, sample=None, cover=None,
use_kindlegen=False, flags=None, hyphenate=True, ilustr_path=''):
""" produces a MOBI file
wldoc: a WLDocu... | quiris11/librarian | librarian/mobi.py | mobi.py | py | 1,584 | python | en | code | null | github-code | 18 | [
{
"api_name": "copy.deepcopy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
73234170601 | '''
Contains module to Login in Instagram and return user_id of an instagram
profile
'''
import pickle
from bs4 import BeautifulSoup
import json
import random
import re
import os
import requests
def test_login(session):
return session.get('https://www.instagram.com/data/shared_data/').json()['config']['viewer'] ... | TH3-MA3STRO/ig-dler_cli | login.py | login.py | py | 2,662 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
32480940653 | import json
from flask import Flask, render_template, redirect, session, url_for
from auth.route import blueprint_auth
from blueprint_query.route import blueprint_query
from blueprint_report.route import blueprint_report
from blueprint_edit.route import blueprint_edit
from basket.route import blueprint_order #'''_cach... | NovokshanovE/DB_kurs | with_report/app.py | app.py | py | 2,225 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "auth.route.blueprint_auth",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "blueprint_report.route.blueprint_report",
"line_number": 14,
"usage_type": "argument"
},
{
... |
30008273748 | #!/usr/bin/env python
# coding=utf-8
# Authors: John Stowers <john@loopbio.com>, Santi Villalba <santi@loopbio.com>
# Licence: BSD 3 clause
import os.path as op
from setuptools import setup, find_packages
this_directory = op.abspath(op.dirname(__file__))
with open(op.join(this_directory, 'README.md'), 'rb') as f:
... | loopbio/imgstore | setup.py | setup.py | py | 1,877 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
1873943038 | from typing import Any, Dict
from app.funcs.query_processors import (
NetworkPlotSchemaInput,
TopicQueryProcessor,
)
from app.utils.data_table import NodeCol, RelCol
from app.utils.url_helpers import data_table_node_link, data_table_rel_link
from .diagram import cypher_diagram
from .graph import create_edge_s... | MRCIEU/epigraphdb_web | backend/app/apis/topic_views/confounder/functions.py | functions.py | py | 3,249 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "app.utils.url_helpers.data_table_node_link",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.utils.url_helpers.data_table_node_link",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.utils.url_helpers.data_table_node_link",
"line_numb... |
16998815049 | # 문자열 배열을 받아 애너그램 단위로 그룹핑하라.
import collections
test_cases = [
["eat", "tea", "tan", "ate", "nat", "bat"]
]
def main(strs):
anagrams = collections.defaultdict(list)
for word in strs:
anagrams[''.join(sorted(word))].append(word)
return anagrams.values()
def start(test_cases):
for idx, ... | plzprayme/study-python-algorithm-interview | ch6_string/q5.py | q5.py | py | 454 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
}
] |
21395725041 | import pygame
class Bird:
def __init__(self, sets, screen):
"""初始化bird设置"""
self.screen = screen
self.sets = sets
# 加载鸟儿
self.image = pygame.image.load('images/bird.png')
self.rect = self.image.get_rect()
self.screen_rect = self.screen.get_rect()
... | juer-joker/Bird-game | bird.py | bird.py | py | 1,108 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
}
] |
441458860 | #!/usr/bin/python3
import time
import requests
from bs4 import BeautifulSoup as bs
def mul_scrape(url, out_path):
"""
Description: creates a csv of a multiplication table from url of online calculator (lazy)
Input: url, url to scrape
out_path, where to write csv
Output: None, writes file to out_path
"""
... | kyler-harrison/erasure-coding | scrape/scrape_all.py | scrape_all.py | py | 3,235 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number... |
8172252550 | from sympy import solve_triangulated
import torch
from torch import nn
from torch_geometric.nn import MessagePassing, TopKPooling
from torch_geometric.data import Data
from torch_geometric.utils import remove_self_loops, add_self_loops
from synthetic_data import datagen#, sourced
import numpy as np
import matplotlib.py... | obfasina/Inverse_Problems_GNN | old_codes/train.py | train.py | py | 6,667 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.load",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "Granola_GNN.NodeClassifier",
... |
2716410859 | from django.shortcuts import render
from mainattendance.models import StudentAttendance,CurrentAttendance,Batch,Student
# Create your views here.
def page(request):
# batchs = CurrentAttendance.objects.values('batch','date')
# if request.method == "GET":
# xbatch = request.GET.get('batch')
# params = {'batchs':ba... | Abhishek3024/manage-attendence | viewattendance/views.py | views.py | py | 1,654 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mainattendance.models.Batch.objects.all",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mainattendance.models.Batch.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "mainattendance.models.Batch",
"line_number": 27,
"usage_... |
42837101713 | from typing import Optional
from httpx import Client
from .responses import (
InfoResponse,
LoginResponse,
SeasonObject,
SeasonResponse,
SeasonsObject,
SeasonsResponse,
)
class Api:
def __init__(self, client: Optional[Client] = None) -> None:
"""
Creates an API instance.
... | Nearata/vvvvid-downloader | vvvvid_downloader/api.py | api.py | py | 1,852 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "httpx.Client",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "httpx.Client",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line... |
22217073420 | import json
from django.http import JsonResponse
from django.views import View
from movies.models import Actor, Movie
class ActorsView(View):
def get(self, request):
results = [
{
'first_name' : actor.first_name,
'last_name' : actor.last_name,
... | jhwang0801/Django_CRUD2 | movies/views.py | views.py | py | 994 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "movies.models.Actor.objects.all",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "movies.models.Actor.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
9779648603 | from functools import cached_property
from typing import Dict, List, Sequence
from .column_names import COLUMN_NAME
from .events_factory import EventsFactory
from .lttng_info import LttngInfo
from .ros2_tracing.data_model import Ros2DataModel
from .value_objects import TimerCallbackValueLttng, TimerControl, TimerInit... | azu-lab/CARET_Executor_Evaluation | CARET_Executor_Evaluation/src/CARET/CARET_analyze/caret_analyze/infra/lttng/records_source.py | records_source.py | py | 24,526 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "ros2_tracing.data_model.Ros2DataModel",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "lttng_info.LttngInfo",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "ros2_tracing.data_model.Ros2DataModel",
"line_number": 30,
"usage_type": "name... |
6554836424 | import cv2
import torch
import sys
import os
sys.path.append('yolov5')
from models.experimental import attempt_load
from utils.general import non_max_suppression, xyxy2xywh
from utils.torch_utils import select_device
# Load YOLOv5 model
weights = 'yolov5s.pt'
device = select_device('')
model = attempt_load(weights, de... | williammw/yolov5-realtime-object-detection | app.py | app.py | py | 2,099 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "utils.torch_utils.select_device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.ex... |
8041158089 | import data_util
import correlation
import pandas as pd
import numpy as np
import datetime
import pickle
import itertools
import time
import sys
import math
import warnings
import multiprocessing as mp
import os
warnings.simplefilter("error")
ctr = 0
tot = 0
NUM_CORES = 8
def analyse_corr(corr_pkl_file):
wit... | adithyaphilip/stocks-analysis | verification.py | verification.py | py | 1,746 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.simplefilter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_nu... |
15577739237 | # %%
from os import path
import struct
import png
from lief import PE
from utils import align, compile, windres
src_dir = path.dirname(__file__)
# %%
# compile origin demo program
compile(path.join(src_dir, 'example.c'), '-m32 -O2 -o example.exe')
binary = PE.parse('example.exe')
print('[+] compile origin demo prog... | nnnewb/learning-packer | packer5/build.py | build.py | py | 1,197 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
154705036 | # -*- coding: utf-8 -*-
"""
Created on 2021/4/7 20:51
Author: ff_wang
E-mail: 1105936347@qq.com
Zhihu : https://www.zhihu.com/people/1105936347
Github: https://github.com/AFei19911012
-------------------------------------------------
"""
# Source: https://github.com/spmallick/learnopencv
from imutils import persp... | AFei19911012/PythonSamples | a_demos/cv_contour.py | cv_contour.py | py | 1,666 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
28293269804 | '''Trie.'''
class Trie:
def __init__(self):
self.root = _Node(None)
def insert(self, word):
current = self.root
for char in word:
if not current.has_child(char):
current.add_child(char)
current = current.get_child(char)
current.is_end_of_... | jwbat/python-datastructures | d2/trie.py | trie.py | py | 5,047 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "functools.reduce",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "{'reduce': 'functools.reduce'}",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "{'reduce': 'functools.reduce'}",
"line_number": 162,
"usage_type": "call"
}
] |
69923987560 |
# # Linear Regression
# ## Importing the libraries
# In[61]:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn import linear_model
import seaborn as sns
sns.set()
from sklearn.model_selection import train_test_split
# ## Importing the data and preprocessing
# In[62]:
# Import... | danalytixx/Machine-Learning | ML1 Linear Regression.py | ML1 Linear Regression.py | py | 1,466 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
20546680258 | from django.shortcuts import render
from main.models import Message
from django.contrib.auth.decorators import login_required, user_passes_test
from main.forms import MessageForm
from django.http import HttpResponse
import user_auth
from user_auth import is_admin
@login_required
def front(request):
# posts = Po... | azuretower/message_board | main/views.py | views.py | py | 1,702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "main.forms.MessageForm",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "user_auth.is_admin",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "dja... |
34780619060 | import csv
import datetime
import os.path
import json
from os import listdir
# directory of tsv files
inputdir = os.path.join(os.getcwd(), 'inputfiles')
# Input start date from the user
startDateInput = input("Enter start date in the format yyyy/mm/dd: ")
startDateInputArray = startDateInput.split("/")
startDate = da... | amans330/DataEngineeringWebsite | scripts/test_data_files.py | test_data_files.py | py | 1,891 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.getcwd",
"line_n... |
25216431572 | # https://leetcode.com/problems/median-of-two-sorted-arrays/
# tags: #array, #binary_search, #divide_and_conquer
#
# Optimal solution (if you dare):
# https://leetcode.com/problems/median-of-two-sorted-arrays/discuss/2481/Share-my-O(log(min(mn)))-solution-with-explanation
#
# Solution: Find the median by traversing
# T... | ronelzb/leetcode | array/0004_median_of_two_sorted_arrays.py | 0004_median_of_two_sorted_arrays.py | py | 1,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
}
] |
71426775080 | import numpy as np
import pandas as pd
from subprocess import check_output
#print(check_output(["ls", "../input"]).decode("utf8"))
import datetime
import time
destinations = pd.read_csv("../input/destinations.csv")
train1 = pd.read_csv("../input/train.csv", nrows=100000)
test1 = pd.read_csv("../input/test.csv", nrows ... | aorursy/new-nb-3 | gautamsihag_pred1-3.py | gautamsihag_pred1-3.py | py | 4,500 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"l... |
3895069234 | import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
import scipy.stats as stats
import matplotlib.pyplot as plt
import seaborn as sns
#%% independent variables
path_csv = pd.rea... | makaylazheng/Capstone-Kickstarter | code/04-regression.py | 04-regression.py | py | 8,905 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
15459946831 | '''
I used Newspaper 3k for further scraping data from the URL's collected in the reddit post scraping.
Newspaper 3k does a great job at scraping the relevant info from news articles.
For more info on Newspaper 3k, check out this link:
https://github.com/codelucas/newspaper
This script pri... | mgraci/ControverSee_Classifier | Newspaper_scraper.py | Newspaper_scraper.py | py | 1,792 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "newspaper.Article",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.D... |
24725334328 | import github as gthb
inst = gthb.Github()
languages = ['Python', 'Ruby', 'Javascript', 'Haskell']
extensions = ['.py', '.rb', '.js', '.hs']
with open('urls.txt','w') as f:
for ind, lang in enumerate(languages):
repos = inst.search_repositories(lang, language=lang, sort='stars', order='desc')
size = 0
i =... | neal-o-r/code_cnn | get_data/gthb_dwld.py | gthb_dwld.py | py | 458 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "github.Github",
"line_number": 3,
"usage_type": "call"
}
] |
71722759719 | import torch
from torch.autograd import Variable
batch_n = 100
hidden_layer = 100
input_data = 1000
output_data = 10
x = Variable(torch.randn(batch_n, input_data),requires_grad = False)
y = Variable(torch.randn(batch_n, output_data),requires_grad = False)
# 使用Sequential自动生成和初始化对应维度的权重参数
# 是一种序列容器， 嵌套各种实现神经网络的中具体功能相关的类... | jayphone17/SOMETHIN-BOUT-CNN | src/torch.nn.Sequential.py | torch.nn.Sequential.py | py | 1,854 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.randn"... |
19642124893 | from __future__ import annotations
from typing import Dict
class GameState:
"""
This class represent game state.
Attributes:
current_scene (str): Id of the current scene in game
variables (dict): Dictionary containing all the variables of the game. Default: {}
"""
def __init__(
... | Zlopez/QAdventure | qadventure/domain/game_state.py | game_state.py | py | 1,740 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 17,
"usage_type": "name"
}
] |
41170364196 | '''
app 新建 urls.py 文件
'''
from django.conf.urls import url
import book.views as views
app_name = 'book' # 设置 app namespace
urlpatterns = [
url(r'^index/$', views.index, name='index'), # url函数的name参数：设置 URL name
# http://127.0.0.1:8000/book/分类id/书籍id/
# http://127.0.0.1:8000/book/category_id/book_id/
... | LiuJGit/mysite | book/urls.py | urls.py | py | 638 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "book.views.index",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "book.views",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.conf.url... |
29491656735 | import pytest
from cygorithms.arrays import (
OneDArray,
DynamicOneDArray,
selection_sort,
merge_sort,
quick_sort
)
@pytest.mark.parametrize(
"array_type",
[
OneDArray,
DynamicOneDArray
]
)
@pytest.mark.parametrize(
"dtype, container, filler",
[
(
... | gittasche/cygorithms | tests/test_arrays.py | test_arrays.py | py | 1,896 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cygorithms.arrays.OneDArray",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "... |
31645937685 | import os
import json
import utils
import interfaces.terraform.hetzner_provider_mapper
from abc import ABC
from commands.command import Command
from commands.validators.command_validators import KubesprayPatchesValidator
from exceptions.exceptions import UnexpectedTerraformFailureException, CommandConfirmationExceptio... | pablintino/hetzner-k8s-generator | commands/terraform_based_commands.py | terraform_based_commands.py | py | 4,685 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "commands.command.Command",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "commands.validators.command_validators.KubesprayPatchesValidator",
"line_number": 18,
"usage_type": "nam... |
23842605455 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
======================
Laplacian segmentation
======================
This notebook implements the laplacian segmentation method of
`McFee and Ellis, 2014 <http://bmcfee.github.io/papers/ismir2014_spectral.pdf>`_,
with a couple of minor stability improvements.
This impleme... | gamaievsky/DescripteursHarmoniquesAudio | spectral_clustering_audio.py | spectral_clustering_audio.py | py | 27,043 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 67,
"usage_type": "attribute"
},
... |
36530697923 | # 5_chart_1.py
import streamlit as st
import pandas as pd
import plotly.express as px
# 데이터 불러오기
data = 'data/gdp_by_country.csv'
df = pd.read_csv(data)
# 원본 데이터에서 국가명 리스트 가져오기
clist = df['country'].unique()
# 사이드바에서 국가명 선택
country = st.sidebar.selectbox("국가를 선택하세요:",clist)
# 메인화면
st.subheader('GDP per Capita over ... | HeejinChung/kwater-lecture | streamlit/5_chart_1.py | 5_chart_1.py | py | 784 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "str... |
1966912300 | from itertools import cycle
with open("Data\Day03.txt") as file:
input = [line.strip() for line in file]
def getitem(index, iterable):
for idx, val in enumerate(iterable):
if idx == index:
return val
def istree(row, rowidx, rowStep, colStep):
if rowidx % rowStep != 0:
return F... | JanDotNet/AdventOfCode | AdventOfCode2020/Python/Day03.py | Day03.py | py | 1,034 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "itertools.cycle",
"line_number": 15,
"usage_type": "call"
}
] |
18708961034 | from flask import Flask, Markup, render_template
from datetime import timezone, datetime
import database
db = database.connect()
app = Flask(__name__)
@app.route("/")
def hello_world():
(temp_values,temp_labels) = get_temp_data()
(fan_values,fan_labels) = get_fan_data()
return render_template('line_chart.... | JanRunge/FanController | web.py | web.py | py | 1,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "database.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "database.select",
... |
1939124600 | import collections
import time
from .neo import neo
from .options import options
__all__ = ['logger']
class __Logger:
def create_reset_log_history(self):
self.max_history = options.get('max_log_history', cache=False) or None
self.log_history = collections.deque(maxlen=self.max_history)
#... | serversidesquid/bugg | rplugin/python3/bugg/logger.py | logger.py | py | 1,733 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "options.options.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "options.options",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "neo.neo.vim.cal... |
39053116378 | """
An example submitit script for running multiple jobs in parallel on a SLURM cluster.
"""
import datetime
import shlex
import sys
import time
from pathlib import Path
try:
import submitit
from tap import Tap
except Exception as e:
print('Please install submitit with `pip install submitit`')
print('P... | lukemelas/projection-conditioned-point-cloud-diffusion | experiments/scripts/example-slurm.py | example-slurm.py | py | 1,897 | python | en | code | 114 | github-code | 18 | [
{
"api_name": "tap.Tap",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "submitit.AutoExecutor",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_numbe... |
16838466844 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from base.models import UserProfile
from base.serializers import ProfileSerializer
from rest_framework.decorators import api_view
from rest_framework.response import Response
from... | pertile/testmap | base/views.py | views.py | py | 1,804 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "forms.UpdateProfileForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 23,
"usage_type": "call"
},
{
"a... |
14210218649 |
from typing import List
# Approach 1 -> Slicing Method
def reverseList(inputList: List) -> List:
if(len(inputList) <= 1):
return inputList
return inputList[:: -1]
# Approach 2 -> Inbuilt Method
def reverseList2(inputList: List) -> List:
if(len(inputList) <= 1):
return inputList
i... | kmanadkat/leetcode-101 | 01 List/Problems/08_reverse_list.py | 08_reverse_list.py | py | 1,183 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
}
] |
70040228842 | import kivy
from kivy.app import App
from kivy.uix.label import Label
from kivy.uix.gridlayout import GridLayout
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
from kivy.uix.widget import Widget
from kivy.properties import ObjectProperty
from kivy.config import Config
from kivy.core.window ... | ManoJoey/Scorro | testing/test.py | test.py | py | 15,602 | python | nl | code | 0 | github-code | 18 | [
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 28,
"usage_type": "name"
},
... |
31141517030 | from django.db.models.signals import post_save, pre_delete
from user_accounts.models import UserAccount
from django.dispatch import receiver
from .models import UserProfile, Connection
@receiver(post_save, sender=UserAccount)
def post_save_profile_create(sender, instance, created, **kwargs):
profile, created = Use... | iamenochchirima/Exodt | exodt-backend/user_profiles/signals.py | signals.py | py | 1,201 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.UserProfile.objects.get_or_create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.UserProfile.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.UserProfile",
"line_number": 8,
"usage_type": "name"
},
... |
1074684939 | # Programmers 탐욕법(Greedy) 4. 구명보트
# 시간복잡도: O(NlogN)
from collections import deque
def solution(people, limit):
answer = 0
queue = deque(sorted(people))
while queue:
heavy = queue[-1]
light = queue[0]
if len(queue) == 1:
answer += 1
break
if heavy + l... | JiSuMun/Algorithm-Study | W08/KimGyuri/42885_구명보트.py | 42885_구명보트.py | py | 888 | python | ko | code | 3 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
4402602299 | """empty message
Revision ID: b22e5138a938
Revises: e6210176f55c
Create Date: 2020-10-29 13:52:55.784625
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b22e5138a938'
down_revision = 'e6210176f55c'
branch_labels = None
depends_on = None
def upgrade():
# ... | app-sre/dashdotdb | migrations/versions/b22e5138a938_.py | b22e5138a938_.py | py | 1,763 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
29083091295 | __author__ = "Mark Sattolo"
__author_email__ = "epistemik@gmail.com"
__created__ = "2021-01-21"
__updated__ = "2021-01-21"
import csv
import sys
from argparse import ArgumentParser
from datetime import datetime as dt
from cwLibWrappers import chadwick, cwlib
from cwTools import *
class PrintPlayerStats:
de... | EpistemikPython/chadwick | src/printPlayerStats_2021-01-22.py | printPlayerStats_2021-01-22.py | py | 13,275 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cwLibWrappers.cwlib.cw_box_get_starter",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "cwLibWrappers.cwlib",
"line_number": 142,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 180,
"usage_type": "call"
},
{
... |
36797925283 | import os
import matplotlib.pyplot as plt
os.chdir('C:\\Users\\oscar\\OneDrive\\Bureau\\IF29\\Tweet Worldcup\\raw')
os.getcwd()
import json
import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
os.chdir('C:\\U... | Oscarben1/tweet_classification_inPython | oscar.py | oscar.py | py | 7,282 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
... |
40690177844 | import sys
sys.path.append("/media/alesya/381A50EF72E26C1A/Yandex-disk/KLayout-python-shamil_dev_sfs/")
import pya
from math import sqrt, cos, sin, atan2, pi, copysign
from pya import Point, DPoint, DSimplePolygon, SimplePolygon, DPolygon, Polygon, Region, Instance, CellInstArray
from pya import Trans, DTrans, CplxTra... | AlesyaSokol/KLayout-python | ClassLib/AlignmentMarks.py | AlignmentMarks.py | py | 6,900 | python | en | code | null | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pya.DPoint",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pya.DPoint",
"line_number"... |
29288378641 | import numpy as np
import nibabel as nib
from scipy import ndimage
def read_nifti_file(filepath):
"""Read and load volume"""
# Read file
scan = nib.load(filepath)
# Get raw data
scan = scan.get_fdata()
return scan
def normalize(volume):
"""Normalize the volume"""
min = np.min(volume... | krishnaShreedhar/wpi_cs539_ml_proj | src/utils.py | utils.py | py | 1,988 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nibabel.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.rotate",
"line_num... |
40648999324 | import bpy
import os
import numpy
#from .config import IMAGES_DIR
#References:
# https://docs.blender.org/api/blender_python_api_2_71_release/bpy.types.Image.html
# https://blender.stackexchange.com/questions/13422/crop-image-with-python-script/13516#13516
# https://blender.stackexchange.com/questions/3673/why-i... | Beskamir/BlenderDepthMaps | src/loadImage.py | loadImage.py | py | 5,496 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "bpy.data",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "bpy.data.images.remove",
... |
2439604316 | from collections import defaultdict
import json
from PIL import Image
from nonebot import on_command, on_message, on_notice, on_regex, get_driver
from nonebot.typing import T_State
from nonebot.adapters import Event, Bot
from nonebot.adapters.cqhttp import Message
from aiocqhttp import MessageSegment
import aiohttp, os... | Europix/Eurobot | src/plugins/akatsuki.py | akatsuki.py | py | 15,405 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "math.ceil",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36... |
159049287 | from django.urls import path
from . import views
app_name = "home"
urlpatterns = [
path("", views.index, name="index"),
path("login/", views.login, name="login"),
path("logout/", views.logout, name="logout"),
path("setting/", views.setting, name="setting"),
path("search/", views.search, name="sear... | sounmind/minuteChecker | home/urls.py | urls.py | py | 1,098 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
73558369000 | """populate_reconcile_queue"""
import json
import logging
import os
from cbers2stac.layers.common.utils import get_client
# Get rid of "Found credentials in environment variables" messages
logging.getLogger("botocore.credentials").disabled = True
LOGGER = logging.getLogger()
LOGGER.setLevel(logging.INFO)
def popul... | fredliporace/cbers-2-stac | cbers2stac/populate_reconcile_queue/code.py | code.py | py | 1,569 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cbers2stac.laye... |
28959321871 | # -*- coding: utf-8 -*-
import json
import re
import time
from ..base.multi_downloader import MultiDownloader
class AlldebridCom(MultiDownloader):
__name__ = "AlldebridCom"
__type__ = "downloader"
__version__ = "0.66"
__status__ = "testing"
__pattern__ = r"https?://(?:\w+\.)?(?:alldebrid\.com|d... | pyload/pyload | src/pyload/plugins/downloaders/AlldebridCom.py | AlldebridCom.py | py | 6,004 | python | en | code | 3,038 | github-code | 18 | [
{
"api_name": "base.multi_downloader.MultiDownloader",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "re.search... |
35771407934 | import pandas as pd
import matplotlib.pyplot as plt
# Read the spreadsheet
df = pd.read_csv("downloads.csv", header=None, names=["Date", "Downloads"])
df["Date"] = pd.to_datetime(df["Date"])
# Plot the download data
plt.figure(figsize=(10, 6))
plt.plot(df["Date"], df["Downloads"])
plt.title("Downloads Over Time")
plt... | micahflee/hacks-leaks-and-revelations | .github/workflows/downloads/plot.py | plot.py | py | 389 | python | en | code | 50 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
24772164617 | import requests, json
from bs4 import BeautifulSoup
from datetime import datetime
def get_cs_notice(row, logger):
_id, last_num = row['id'], row['last_num']
result = []
URL_list = ["http://cs.skku.edu/ajax/board/view/notice/", "http://cs.skku.edu/ajax/board/view/news/",
"http://cs.skku.edu/aj... | dlsrb6342/crawl_notice | cs.py | cs.py | py | 1,883 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
5653715918 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 14 11:51:09 2020
@author: apurvabadithela
"""
import networkx as nx
from networkx.algorithms.flow import shortest_augmenting_path, edmonds_karp
import sys
sys.path.append('../')
from src.milp_functions import augment_paths, min_cut_edges
from src.r... | abadithela/NFM2021_Static_Test_Synthesis | examples/simple_automaton.py | simple_automaton.py | py | 1,362 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "networkx.DiGraph",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.milp_functions.aug... |
73310028519 | from __future__ import print_function
import httplib2
import os
from apiclient import discovery
import oauth2client
from oauth2client import client
from oauth2client import tools
import json
courses_filename = "courses.json"
courseCalendarID = "ucdavis.edu_t1v777vkdgdrrd1s1doltuvtd4@group.calendar.google.com"
try:
... | calvin-li/course-adder | adder.py | adder.py | py | 3,150 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "oauth2client.tools.argparser",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "oauth2client.tools",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
16129821314 | #!/usr/bin/env python3
from argparse import ArgumentParser
from functools import reduce
import json
import os
def add(a, b):
return a + b
def get_file_statistics(file):
with open(file, 'r') as f:
content = json.loads(f.read())
return {
'filename': os.path.basename(file),
... | kbence/d3-playground | scripts/generate-index.py | generate-index.py | py | 1,120 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "functools.reduce",
"line... |
12119615040 | import socket
import threading
import argparse
def receive_messages(client_socket):
while True:
try:
message = client_socket.recv(1024).decode('utf-8')
print(message)
except ConnectionResetError:
print("Disconnected from the server.")
break
def mai... | vladsendrix/gochat | client/client.py | client.py | py | 1,120 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK... |
16052319795 | #!/usr/bin/env python3
'''
*****************************************************************************************
*
* ===============================================
* HolA Bot (HB) Theme (eYRC 2022-23)
* ===============================================
*
* This script should be us... | Dhruvacube/task0 | src/eYRC-2022_HolA_Bot/eyrc-2022_holabot/scripts/task_0.py | task_0.py | py | 7,965 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rospy.init_node",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.Twist",
"line_number": 50,
"usage_type": "argument"
},
{
"api_name": "rospy.Sub... |
39065043759 | import pygame
import random
from pygame.locals import (
K_UP,
K_DOWN,
K_RIGHT,
K_LEFT,
K_ESCAPE,
QUIT,
KEYDOWN,
)
pygame.init()
myfont = pygame.font.Font("freesansbold.ttf", 60)
myfont40 = pygame.font.Font("freesansbold.ttf", 40)
myfont80 = pygame.font.Font("freesansbold.tt... | ShrihanSolo/personalprojects | mancala.py | mancala.py | py | 11,111 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.font.Font",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font",
... |
34850744501 | """
Module containing the SinusoidalPositionalEmbedding option, which creates a sinusoidal relationship
between a token and its position
"""
import logging
from rich.logging import RichHandler
LOG_FORMAT = "%(message)s"
logging.basicConfig(level="INFO", format=LOG_FORMAT, datefmt="[%X] ", handlers=[RichHandler()])
LO... | yext/annotated-mpnet | annotated_mpnet/transformer_modules/sinusoidal_positional_embedding.py | sinusoidal_positional_embedding.py | py | 5,431 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rich.logging.RichHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.... |
30916762238 | import base64
import hashlib
import hmac
import requests
import time
import json
from rest_framework.exceptions import ValidationError
from Troy.settings import base
from apps.oauth.models import Auth
class GoogleService(object):
def __init__(self):
self.google_id_token_info_url = 'https://www.googleapi... | soheeeeP/troy-ptservice-drf-backend | api/oauth/services.py | services.py | py | 3,737 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.post",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "rest_framework.exceptions.ValidationError",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": ... |
20014138269 | from django.db import models
from tumblr.base_model import BaseManager, BaseModel
from apps.blog.models import Post
class TagsManager(BaseManager):
def posts_with_tags(self, tags, post_count, user=False):
end_count = post_count + 10
tag_list = []
split_tags = tags.replace('+', ' ').split(' ')
for ... | DimosGu/tumblr | apps/search/models.py | models.py | py | 1,500 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tumblr.base_model.BaseManager",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "apps.blog.models.Post.objects.exclude",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "apps.blog.models.Post.objects",
"line_number": 22,
"usage_type": "attr... |
6093676175 | import numpy as np
from numpy.random.mtrand import f
from scipy.spatial.transform import Rotation as R
# function for the identification of closest center of atoms within a 7Å radius
def find_closest_centroid(mol, i_point, rad=7):
neigh = []
for e in mol:
rf = np.linalg.norm(e-i_point)
if rf <... | micheleassante/ESPlace | explicit_solv_mod.py | explicit_solv_mod.py | py | 3,835 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"li... |
18807321050 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torchvision import datasets, transforms
from utils import weights_init_xavierUniform as weights_init
import math
class Flatten(nn.Module):
def forward(self, input):
return input.view(input.size(0), -1)
... | EKELE-NNOROM/Augmenting-DAgger-with-Recurrence-and-Attention | blocks.py | blocks.py | py | 4,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
41458525230 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 9 22:35:50 2022
@author: RJ
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def read_file(fname):
"""This function is used to read the file and return the transpose the
file and data."""
data = pd.read_excel(fname)
dtranspos... | rosejipson/ADS1-Assignment-2 | Assignment 2.py | Assignment 2.py | py | 4,086 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_excel",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "matplotl... |
3858049378 | from cgi import test
from tkinter.ttk import Progressbar
from tkinter import *
from PIL import ImageTk, Image
from numpy import imag
w=Tk()
#Indicamos las dimensiones y posicion inicial del la pantalla de carga
width_of_window = 427
height_of_window = 250
screen_width = w.winfo_screenwidth()
screen_height = w.winfo_s... | NestorGH/Face_mask_detector | splash_screen_gui.py | splash_screen_gui.py | py | 2,477 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.ttk.Progressbar",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
26544419930 | import os
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim.lr_scheduler import ReduceLROnPlateau
from .models.Graph2Search import Graph2Search
from .utils.vocab_utils import VocabModel
from .utils import constants as Constants
from .utils.generic_utils import create_mask, to_cuda
from .la... | shangqing-liu/GraphSearchNet | graph-based-search/graph_search_nn/src/core/model.py | model.py | py | 11,576 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "models.Graph2Search.Graph2Search",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "utils.vocab_utils.VocabModel.build",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.vocab_utils.VocabModel",
"line_number": 26,
"usage_type": "name... |
22493702431 | import numpy as np
from matplotlib import pyplot as plt
from multiprocessing import Pool
import time
def timestep_i(args):
"""Computes the next position and velocity for the ith mass
"""
i, x0, v0, G, m, dt = args
a_i0 = a(i, x0, G, m)
v_i1 = a_i0 * dt + v0[i]
x_i1 = a_i0 * dt**2 + v0[i] * dt + x0[i]
return i, ... | jieyanzhu/codes-effective-computation-in-physics | chap_12/n-body-multiprocessing.py | n-body-multiprocessing.py | py | 1,873 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.sum",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.empty",
"line_number... |
27100615168 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('skills', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='skill',
name='alias',
... | infojasyrc/my-agenda | apps/skills/migrations/0002_skill_alias.py | 0002_skill_alias.py | py | 400 | python | en | code | 0 | github-code | 18 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
8009822355 | from __future__ import annotations
import typing as t
from django.http import HttpResponseRedirect
from django.utils import timezone
from django.shortcuts import render, get_object_or_404
from django.urls import reverse as reverse_url
from django.db.models import F
if t.TYPE_CHECKING:
from django.http import Htt... | LEv145/django-polls | polls/views.py | views.py | py | 2,063 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.http.HttpRequest",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "models.Question.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
"... |
2444537775 | from bs4 import BeautifulSoup
import requests, openpyxl
excel = openpyxl.Workbook()
sheet = excel.active
sheet.title = 'F1 Drivers 2022'
sheet.append(['Given Name', 'Family Name', 'Permanent Number', 'Nationality'])
try:
source = requests.get('http://ergast.com/api/f1/2022/drivers')
source.raise_for_status()
... | AsifSyeed/ScrapF1 | scrapf1.py | scrapf1.py | py | 782 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
6219234617 | from common.log import logger
from datahub.access.exceptions import CollectorError, CollerctorCode
from datahub.access.handlers import CcHandler
from datahub.access.models import (
AccessManagerConfig,
AccessScenarioConfig,
AccessScenarioStorageChannel,
DatabusChannelClusterConfig,
)
from datahub.access... | Tencent/bk-base | src/api/datahub/access/utils/init.py | init.py | py | 3,395 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "datahub.access.models.DatabusChannelClusterConfig.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datahub.access.models.DatabusChannelClusterConfig.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datahub.access.mo... |
21298941452 | import gmsh
import argparse
import math
parser = argparse.ArgumentParser(description="Input arguments")
parser.add_argument("input", metavar="input", type=str,
help="Path to mesh")
parser.add_argument("output", metavar="output", type=str,
help="Output path")
parser.add_argument(... | gerrygralton/consistent_stl | consistent_stl.py | consistent_stl.py | py | 1,074 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gmsh.initialize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gmsh.clear",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gmsh.option.setNumb... |
9468528753 |
from app.constants import SEASON
from app.enums import CharacterClass, Server
from app.extensions import db
from app.models import (FinishedMatch, FinishedMatchParticipant, Player,
PlayerStatistics, RunningMatch)
from flask import Blueprint, abort, request, jsonify
from flask.globals import cur... | HealYouDown/flo-league | app/blueprints/main/views.py | views.py | py | 7,230 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.templating.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_babel.gettext",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "... |
40430802494 | from flask import Flask, render_template, request
from textblob import TextBlob
app = Flask(__name__)
@app.route('/', methods = ['GET', 'POST'])
def index():
if(request.method == 'GET'):
return render_template('sentiment.html')
else:
text = request.form.get('text')
polarity = TextBlob... | mukulvain/Attendance-System | app.py | app.py | py | 529 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.render_templat... |
4038279456 | # Jamie Pospishil
# Version 3.6
# 2019-04-08
import pygame
import glob
import os
debug = False
class SFX:
mixer_channels = 16
# starting with 16 for mixer_channels, this can be increased if we need to
number_of_reserved_sound_channels = 2
# channels 0 - 1 are reserved for possible future use
# ... | fiercepatty/Illuminate | Illuminate/audio_sfx_player.py | audio_sfx_player.py | py | 15,648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.mixer",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "pygame.mi... |
32581576341 | import math
from random import choice
import pygame
import pygame.draw as p
import numpy as np
from random import randint
RED = (255, 0, 0)#блок задания цветовой гаммы мячей
BLUE = (0, 0, 255)
YELLOW = (255, 255, 0)
GREEN = (0, 255, 0)
MAGENTA = (255, 0, 255)
CYAN = (0, 255, 255)
BLACK = (0, 0, 0)
WHITE = (255, 255, 2... | infa2021Chikalkin/infa_2021_Chikalkin | lab5/lab5part2.py | lab5part2.py | py | 34,907 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "pygame.Surface",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.circle",
... |
22437373735 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 7 19:21:21 2020
@author: joamat
"""
import pandas as pd
import json
import requests
import functions.videos as videos
def callAPI(key, channelId, order):
return requests.get('https://www.googleapis.com/youtube/v3/search',
params={
... | jose-amat/python-youtube-comments | functions/search.py | search.py | py | 1,460 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "functions.videos.statistics",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "functions.videos",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "pandas.Data... |
7108091415 | import matplotlib.pyplot as plt
import numpy as np
from sklearn import linear_model
from sklearn.metrics import mean_squared_error
np.random.seed(0)
linear_dataset = range(1000000, 2000001)
normal_dataset = np.random.normal(0, 1, 1000000)
dataset = {index: value for index, value in enumerate(sorted(normal_dataset))}... | tools4origins/pyli | model.py | model.py | py | 749 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
12358409109 | import os
import os.path
import random
import sys
import logging
import time
import tornado.websocket
import tornado.web
import tornado.ioloop
from datetime import date, datetime
from perspective import Table, PerspectiveManager, PerspectiveTornadoHandler
class StaticHandler(tornado.web.StaticFileHandler):
def se... | sc1f/perspective-python-editable | server.py | server.py | py | 2,255 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tornado.websocket.web",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tornado.websocket",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tornado.websocket.web",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name"... |
75430919080 | import cv2 as cv
import numpy as np
import time
# 이미지 불러오기
path = "C:/Users/DELL/PycharmProjects/Object-detection/image/test_shelf_resized.jpg"
img = cv.imread(path, cv.IMREAD_COLOR)
img_gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) # shape : (600, 900)
ret,thresh4 = cv.threshold(img_gray,127,255,cv.THRESH_TOZERO) # 책장 ... | flashwoman/Object-detection | Reference/Bookshelf/OpenCV_HarrisCornerDetection.py | OpenCV_HarrisCornerDetection.py | py | 3,983 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"... |
40135478318 | from jax._src.prng import _bit_stats
from jax._src.tree_util import tree_structure
from jax.experimental.stax import Dense
import neural_tangents as nt
from neural_tangents import stax
import matplotlib.pyplot as plt
import jax.numpy as np
from seaborn.utils import saturate
from tqdm import tqdm
from jax import rando... | kitakou0313/jaxStudy | ntk.py | ntk.py | py | 10,546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set_style",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jax.numpy.reshape",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line... |
8330080405 | #=======================================================================================================================
# This file traines a Convolutional neural network (CNN) and a Multi layer perceptron (MLP) neural network
# using training features generated in script 02
# Model weights will be saved in weights/ f... | smg478/UrbanRadiation | 03_train_ANN_CNN.py | 03_train_ANN_CNN.py | py | 6,637 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"lin... |
24101695572 | import asyncio
from typing import List, Optional
from sqlalchemy import ForeignKey, String, select
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from sqlalchemy.orm import Mapped, joinedload, mapped_column, relationship
from sqlorm.core import Base
engine = create_async_engine("sqlite+ai... | codemation/sqlantic | tests/test_models.py | test_models.py | py | 2,597 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.ext.asyncio.create_async_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.asyncio.async_sessionmaker",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlorm.core.Base",
"line_number": 17,
"usage_type": ... |
28085908364 | import unittest
from selenium import webdriver
import os
import time
# （十五）文件上传
class baiduSearch(unittest.TestCase):
def setUp(self):
# self.driver = webdriver.PhantomJS(executable_path="C:\\phantomjs.exe")
self.driver = webdriver.Chrome(executable_path="C:\\chromedriver.exe")
self.drive... | wallaceok/python3_test | org/web/test11.py | test11.py | py | 1,242 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os... |
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