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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42066024116 | import os
import sys
import glob
import subprocess
import tempfile
from typing import List
from PyQt5 import QtWidgets, uic
from PyQt5.QtWidgets import QFileDialog, QMessageBox
# Imports from this project
from release import year, lstupdt, spath, curb, ver, settingsPath, audioDirDefault, videoDirDefault
from Config imp... | Solo-Dragon/yt-dl | gui5.py | gui5.py | py | 33,604 | python | en | code | null | github-code | 21 | [
{
"api_name": "sys.platform.startswith",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "release.ver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ctypes.windll.s... |
133596648 | """
jsonrules.py
JSON rules loader for the server handlers
___________________
by:
Ayzurus
"""
import json
_root_path = "./"
def setup(path: str):
"""sets up the working path to find the json files"""
global _root_path
_root_path = path
def get(proto: str):
"""obtain the json rules for the given... | Ayzurus/pryxy-server | src/handlers/jsonrules.py | jsonrules.py | py | 472 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 26,
"usage_type": "call"
}
] |
15425576663 | '''
通用时间计算装饰器
'''
import time
from functools import wraps
def timethis(func):
@wraps(func)
def wrapper(*args,**kwargs):
start=time.time()
func(*args,**kwargs) #装饰的函数可以传参数或不传参数,不限形式的参数
stop=time.time()
print(func.__name__,stop-start)
return wrapper
@timethis
def countdown(n... | TimberiWolf/Python | Python/NewProject/function/gene_timing.py | gene_timing.py | py | 660 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 8,
"usage_type": "call"
}
] |
43636295380 | import os
import sys
from OpenLP.arguments import DataArguments, ModelArguments
from OpenLP.arguments import DenseEncodingArguments as EncodingArguments
from OpenLP.dataset import InferenceDataset
from OpenLP.modeling import DenseModelForInference
from OpenLP.retriever import Retriever
from transformers import AutoCon... | PeterGriffinJin/Patton | src/OpenLP/driver/infer.py | infer.py | py | 1,784 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "transformers.HfArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "OpenLP.arguments.ModelArguments",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "OpenLP.arguments.DataArguments",
"line_number": 14,
"usage_type": "name"
... |
1043747213 | import networkx as nx
import pandas as pd
from leeuwarden_kennis.config_data import base_file_location
import datetime
import queue as Q
# example line: 6;"2054";"2017-08-17 13:27:00";"646.0";994771
def parse_line(line):
splitted_line = line.rstrip().split(";")
visitor_id = splitted_line[4]
s... | KennisnetwerkDataScience/Wifi-punten-in-Leeuwarden | Groep 2/network_lwd_store_routes.py | network_lwd_store_routes.py | py | 2,478 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "queue.PriorityQueue",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
74768469813 | #!/usr/bin/env python3
from peewee import InterfaceError
import psycopg2 as __driver
from packaging import version as __version
import models.db_globals as __DBglobals
from models.db import DBdata, Users, Actions, Reactions
def __ensureVersionSystem():
if not DBdata.table_exists():
__DBglobals.db.create_t... | luannbertaud/YEP-Area | api/controllers/area_db.py | area_db.py | py | 2,343 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "models.db.DBdata.table_exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.db.DBdata",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.db_globals.db.create_tables",
"line_number": 11,
"usage_type": "call"
},
{
... |
4257772837 | # coding=utf-8
from unittest import TestCase
from common import get_link_from_query
class TestGet_link_from_query(TestCase):
def simple(self):
string = "http://s.aliexpress.com/R3Ij6Rr6"
expected = string
actual = get_link_from_query(string)
if actual != expected:
self.f... | blackbass1988/aliprice_bot | lib/test_common.py | test_common.py | py | 816 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "common.get_link_from_query",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "common.get_link_from_query",
"line_number": 20,
"usage_type": "call"
}
] |
18589993131 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# This module contains dictionaries that can be used to set a matplotlib
# plotting style. It is no longer documented/recommended as of Astropy v3.0
# but is kept here for backward-compatibility.
__all__ = ["astropy_mpl_style_1", "astropy_mpl_style"]
# ... | astropy/astropy | astropy/visualization/mpl_style.py | mpl_style.py | py | 2,122 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "cycler.cycler",
"line_number": 72,
"usage_type": "call"
}
] |
8472957105 | import requests
import matplotlib.pyplot as plt
import datetime
now = datetime.datetime.now()
skrg = now.hour
# Ambil data dari API
url = 'https://api.open-meteo.com/v1/forecast?latitude=-0.46&longitude=117.14&hourly=temperature_2m,precipitation_probability,surface_pressure,cloudcover,vapor_pressure_deficit&f... | rezhani/Grafik-Prediksi-Cuaca | 3 Gambar Tergabung 3 Grafik Temperatur, Presipitasi dan tekanan Samarinda dari Open Meteo.py | 3 Gambar Tergabung 3 Grafik Temperatur, Presipitasi dan tekanan Samarinda dari Open Meteo.py | py | 2,366 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
26918687912 | from django.contrib.auth.models import User
from django.http import HttpRequest
from django.test import Client, RequestFactory, TestCase
from django.urls import reverse
from store.models import Category, Product
from store.views import all_products
class TestViewResponses(TestCase):
def setUp(self):
self... | tqt97/awesome-python | Django/Ecommerce-Store/Part1/store/tests/test_views.py | test_views.py | py | 2,038 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.test.RequestFactory",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dj... |
34310398948 | from django.conf import settings
from datetime import *
from django.utils.timezone import localtime
import pytz
class DatetimeHelper:
default_timezone = settings.TIME_ZONE
time_zone = ''
state = ''
time_formate = '%b %d, %Y, %I:%M %p %Z'
date_formate = '%b %d, %Y'
dt = None
stat... | solarpermit/solarpermit | website/utils/datetimeUtil.py | datetimeUtil.py | py | 2,510 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "django.conf.settings.TIME_ZONE",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pytz.timezone",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
20511855642 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QLabel, QVBoxLayout, QMessageBox, QRadioButton, QHBoxLayout, QGroupBox
from random import shuffle
app = QApplication([])
mainWindow = QWidget()
mainWindow.setWindowTitle('Memory Card')
mainWindow.cur_question = -1
quest... | portalixs/memory-card | my_memory_card.py | my_memory_card.py | py | 3,932 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name... |
41822041020 | import pandas as pd
import numpy as np
from sklearn.metrics import classification_report
def load_dataset(filepath, encoding='utf-8'):
#データセットをロードするfunc 引数は、実際にロードするファイルが格納されているpathと、文字コード
df = pd.read_csv(filepath, encoding=encoding, delim_whitespace=True, names=['id', 'cat', 'label', 't1', 't2'])
mappin... | MasashiAkahori/RTE | utils.py | utils.py | py | 831 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.classification_report",
"line_number": 20,
"usage_type": "call"
}
] |
8390804327 | import re
from enum import unique
from pycsp3.classes.auxiliary.ptypes import auto, AbstractType, TypeXML
from pycsp3.classes.main.constraints import ConstraintUnmergeable
from pycsp3.classes.main.variables import Variable
from pycsp3.tools.inspector import checkType
from pycsp3.tools.utilities import flatten
@uniqu... | xcsp3team/pycsp3 | classes/main/annotations.py | annotations.py | py | 6,351 | python | en | code | 49 | github-code | 21 | [
{
"api_name": "pycsp3.classes.auxiliary.ptypes.AbstractType",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pycsp3.classes.auxiliary.ptypes.auto",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "enum.unique",
"line_number": 11,
"usage_type": "name"
... |
4748323752 | import tornado.web
import imagehash
from PIL import Image
import numpy as np
import glob
class ConditionalSearch(tornado.web.RequestHandler):
def post(self):
imglist = []
category = self.get_argument("category")
group_number = self.get_argument("group_number")
number_index = self.g... | wangchufeng/Narrative-flow-web | handler/conditional_search.py | conditional_search.py | py | 5,705 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "tornado.web.web",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_... |
8867929806 | import pwn
import string
import time
p = pwn.process("WINEDEBUG=fixme-all /usr/bin/wine asby.exe", shell=True)
charset = []
for c in string.ascii_lowercase + string.ascii_uppercase + string.digits + string.punctuation:
charset.append(c)
i = 0
flag = charset[i]
while(True):
time.sleep(.1)
print(p.recv(tim... | WCSC/writeups | sha2017/asby/sol.py | sol.py | py | 588 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "pwn.process",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "stri... |
29398356728 | import cv2
import numpy as np
def find_length(img_name):
img = cv2.imread(img_name)
img = img_long[:600, :]
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
blur = cv2.bilateralFilter(hsv, 11, 17, 17)
lower = np.array([6.0, 50, 50], dtype = "uint8")
upper = np.array([13.0, 255, 255], dtype = "uint8")
mask = cv... | yichern/baxter-tool | physical/length_finder_working.py | length_finder_working.py | py | 1,122 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.bilateralFilter",
... |
34058690350 | from typing import Any, Optional
import time
from netmiko.no_enable import NoEnable
from netmiko.no_config import NoConfig
from netmiko.cisco.cisco_ios import CiscoIosBase
class KeymileSSH(NoEnable, NoConfig, CiscoIosBase):
def __init__(self, **kwargs: Any) -> None:
kwargs.setdefault("default_enter", "\r... | ktbyers/netmiko | netmiko/keymile/keymile_ssh.py | keymile_ssh.py | py | 1,453 | python | en | code | 3,278 | github-code | 21 | [
{
"api_name": "netmiko.no_enable.NoEnable",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "netmiko.no_config.NoConfig",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "netmiko.cisco.cisco_ios.CiscoIosBase",
"line_number": 9,
"usage_type": "name"
},
... |
29863987740 | import statistics
from .. import db
import datetime
from . import UserModel
# Modelo de Poema
class Poem(db.Model):
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(100), nullable=False)
body = db.Column(db.String(100), nullable=False)
user_id = db.Column(db.Integer, db.ForeignK... | NKAmazing/thepoetsinn | Backend/main/models/Poems.py | Poems.py | py | 2,550 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "statistics.mean",
"line_number": 29,
"usage_type": "call"
}
] |
15144383067 | from sqlalchemy import create_engine
# mysql
# from sqlalchemy import create_engine
# engine = create_engine('mysql://scott:tiger@localhost/foo')
# postgreSQL
# pip install psycopg2
# from sqlalchemy import create_engine
# engine = create_engine('postgresql://ユーザー名:パスワード@ホスト:ポート/DB名')
# sqlite
# from sqlalchemy impo... | miyamotok0105/sqlalchemy_sample | 002db_sample.py | 002db_sample.py | py | 1,432 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 17,
"usage_type": "call"
}
] |
15728650973 | from collections import deque
import sys
n, k = map(int, sys.stdin.readline().split())
MAX = 100000
visited = [0] * (MAX+1)
def bfs():
q = deque()
q.append(n)
while q:
x = q.popleft()
if x == k:
print(visited[x])
break
for i in (x-1, x+1, 2*x):
i... | rubenlee1998/Baekjoon | 22.08.15~08.21/boj1697.py | boj1697.py | py | 437 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
70285116212 | import torch
import torch.nn as nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torch.autograd import Variable
import torch.utils.data as Data
import numpy as np
# Hyper Parameters
input_size = 52
hidden_size1 = 1024
hidden_size2 = 1024
num_classes = 23
num_epochs = 200
batch_s... | Youngyi/Users-sReadingLog_recomand | FBN.py | FBN.py | py | 4,271 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number"... |
13501850058 | from re import T
import telebot
from gtts import gTTS
# txt = 'python developer'
txt = 'студенты'
audio = gTTS(text=txt, lang='ru')
audio.save('audio2.mp3')
token = '5116709006:AAExkfzjSV8EpNxUqloTgnpZF8Jj-w809DQ'
bot = telebot.TeleBot(token=token)
@bot.message_handler(commands=['start'])
def send_message(message):... | 123rus/text-to-mp3-bot | mybot.py | mybot.py | py | 632 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gtts.gTTS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_number": 13,
"usage_type": "call"
}
] |
31983570377 | """
Python scrypt to use the coinmarketcap's API
More info on https://coinmarketcap.com/api/
"""
import requests
import json
def send_request_cmc():
""" Sends request to coinmarketcap's API.
"""
url = 'https://api.coinmarketcap.com/v1/ticker/garlicoin/'
response = requests.get(url)
output ... | smaillot/garlic-blockchain-tools | garlic-explorer/coinmarketcap_API.py | coinmarketcap_API.py | py | 468 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
}
] |
11671221755 | import os
import requests
from dotenv import load_dotenv
load_dotenv()
def market_costs(start_date, end_date, store):
"""
:param start_date: 2020-09-23 will be + 00:00:00
:param end_date: 2020-09-23 will be 23:59:59
:param store: market_moscow_store, market_green_house, market_saratov, market_internet... | ShashkinRoman/beauty_box_and_market_reports | market_reports/utils/moysklad.py | moysklad.py | py | 2,033 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number... |
17887905903 | from asyncio.constants import LOG_THRESHOLD_FOR_CONNLOST_WRITES
from bz2 import decompress
import gzip
import os
from itertools import islice
from natsort import natsorted
def get_contents(intput_file):
with gzip.open(intput_file, 'rb') as f:
file_content = f.read()
lines_of_content = f... | wenjie-hoo/gzip-split | gzip_split.py | gzip_split.py | py | 7,873 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gzip.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 25,
... |
29490357333 | import os
import pickle
import pandas as pd
import traceback
from datetime import datetime
import ray
from ray import tune
from ray.tune import CLIReporter
from ray.tune.schedulers import ASHAScheduler
from functools import partial
import torch
from torch import optim
from Experiments.Rulebased.config_new import hanabi... | hellovertex/hanabi-pool-of-states | Experiments/Rulebased/train_eval_new.py | train_eval_new.py | py | 9,956 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.no_grad",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "utils.to_int",
"line_... |
26303449768 | """Poor Man's Bar Chart"""
import sys
import pprint
from collections import defaultdict
ALPHABET = 'abcdefghijklmnopqrstuvwxyz'
TEXT = sys.argv[1]
def main():
"""Compare common letters in a sentence
with common letters in a dict, return
bar chart."""
mapped_chars = defaultdict(list)
for cha... | dcoy/impractical-projects | chapter1/practice_projects/bar_chart/main.py | main.py | py | 555 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 21,
"usage_type": "call"
}
] |
42339965554 | import cv2
import numpy as np
class KalmanFilter:
# Output as postion and velocity with input as position
kf = cv2.KalmanFilter(4, 2)
kf.measurementMatrix = np.array([[1, 0, 0, 0], [0, 1, 0, 0]], np.float32)
kf.transitionMatrix = np.array([[1, 0, 1, 0], [0, 1, 0, 1], [0, 0, 1, 0], [0, 0, 0, 1]], np.fl... | Visweswaran-2001/Differential-Drive-Bot | KalmanFilter.py | KalmanFilter.py | py | 804 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.KalmanFilter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_... |
26884360732 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Level',
fields=[
('id', models.AutoField(verbos... | RumorIO/healersource | apps/ambassador/migrations/0001_initial.py | 0001_initial.py | py | 1,372 | python | en | code | 0 | github-code | 21 | [
{
"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.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
43664927741 | from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from django.db.models import Count
from django.db.models.functions import TruncDate
from api.models import (
Transaction,
Company,
)
from api.serializers import (
SummaryCompanySerialize... | JuanDM93/plerk-django-transactions | api/views/summary/company.py | company.py | py | 2,006 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "api.serializers.SummaryCompanySerializer",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "api.models.Company.objects.get",
"line_number": 34,
"usage_type": "... |
12974367956 | from PyQt5.QtWidgets import QApplication
import sys
import subprocess
from pathlib import Path
import time
from PyQt5.QtWidgets import QMainWindow, QPushButton, QLabel, QProgressBar
from utils import Docker
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.title = '资金... | xx529/FdAnys-gui | src/app.py | app.py | py | 4,985 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QProgressBar",
"line_number": 22,
"usage_type": "call"
},
{
... |
25554798737 | """
Get an authorized handle to google sheets' API.
"""
from functools import cache
from googleapiclient.discovery import build
from httplib2 import Http
from oauth2client import client, file, tools # type: ignore
__all__ = [
"sheets_handle",
]
SCOPES = "https://www.googleapis.com/auth/spreadsheets"
@cache
d... | andrewsmike/jasmine | tools/jasmine_tracker/app_base.py | app_base.py | py | 683 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "oauth2client.file.Storage",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "oauth2client.file",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "oauth2client.client.flow_from_clientsecrets",
"line_number": 23,
"usage_type": "call"
},
... |
18592223222 | """
Methods for modeling diffraction patterns in PSF profiles.
Classes
-------
ApertureDiffraction
Analytical solution to the diffraction pattern.
BesselJ1
Wrapper to the scipy.special j1 function.
DiffractionWithoutPhase:
Adds a diffraction pattern to an underlying PSF where the
diffraction spikes l... | bbergerud/galsyn | galsyn/star/diffraction.py | diffraction.py | py | 7,951 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.autograd.Function",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "scipy.special.j1",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.Tens... |
28477760632 | from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential
from azure.ai.ml import load_component
from azure.ai.ml import MLClient
import glob
def main():
# Get the credential to feed to MLClient instantiation
try:
credential = DefaultAzureCredential()
# Check if given cre... | pennsefton/anomaly-detection-azure-cli | components/src/register_components.py | register_components.py | py | 1,045 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "azure.identity.DefaultAzureCredential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "azure.identity.InteractiveBrowserCredential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "azure.ai.ml.MLClient.from_config",
"line_number": 18,
"... |
72262090613 | """
Author: David Walshe
Date: 21 February 2021
"""
import logging
from collections import namedtuple
from itertools import chain
from queue import Queue
from typing import List, Union
import os
import json
import urllib as urllib
from concurrent.futures import ThreadPoolExecutor, as_completed, Future
impor... | DavidWalshe93/isic_cli | src/cli/commands/image/download.py | download.py | py | 7,284 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "itertools.chain.... |
36100007435 | from builtins import NotImplementedError
from absl import app, flags, logging
from absl.flags import FLAGS
import cv2
import os
import shutil
import numpy as np
import tensorflow as tf
from core.yolov4 import filter_boxes,decode
from tensorflow.python.saved_model import tag_constants
import core.utils as utils
from tqd... | chiahuilin0531/yolov4-tflite | tobe_delete/evaluate.py | evaluate.py | py | 8,694 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "absl.flags.DEFINE_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "absl.flags",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_string",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "absl.fla... |
1115761283 | #!/usr/bin/python
__author__ = 'espen1,ytay2'
'''
Naive Classifier Module for NLP Project
Written by Espen Albert, Tay Yi
Usage - run Python naive.py in CLI (does not support argparser yet)
Uses Naive Classifier for Sentiment Analysis
Poor Accuracy - 60-70% :(
'''
from nltk import word_tokenize
import nltk
import... | brightbird/Youtube2Sentiments | naive.py | naive.py | py | 7,652 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "nltk.NaiveBayesClassifier.train",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "nltk.NaiveBayesClassifier",
"line_number": 153,
"usage_type": "attribute"
},
{
... |
9457954314 | import torch
import numpy as np
from torch.utils.data import Dataset, DataLoader
class Mesh_Dataset(Dataset):
def __init__(self, data, device='cpu'):
mesh_data = np.stack(tuple(data[0]), -1).reshape(-1, len(data[0]))
comput_data = np.stack(tuple(data[1]), -1).reshape(-1, len(data[1]))
... | phy-ml/neural-solver | NET_Solver/mesh/mesh_data.py | mesh_data.py | py | 1,916 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.stack",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
... |
1324133979 | import os
import cv2
import uuid
import numpy as np
def save_image_cv2(save_file, target_frame):
cv2.imwrite(save_file, target_frame)
return save_file
def read_image_cv2(image_path):
return cv2.imread(image_path)
def generate_random_color():
"""Generate a random RGB color."""
return (np.random... | wladradchenko/wunjo.wladradchenko.ru | portable/src/deepfake/src/utils/imageio.py | imageio.py | py | 1,762 | python | en | code | 404 | github-code | 21 | [
{
"api_name": "cv2.imwrite",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_n... |
71154456372 | #notes: removed ufo sightings with durations longer than 5 hours and shorter than 5 seconds from the csv.
from math import log
def csv_to_dict(file): # read csv into dictionary
durs, lats, longs, commas = [],[],[],0
for line in open(file):
commas = 0
dur, lat, lon = "", "", ""
... | oeschutz/cs_241_project | work.py | work.py | py | 1,725 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.log",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.... |
32738034850 | import os
import csv
import numpy as np
import cv2
from zipfile import ZipFile
from PIL import Image
from shutil import copyfile
import prepRetinaNet
#
# Update an image dictionary extracted from the trainingCSV, by looking in a set of directories,
# and updating if dictionary if found
#
class ImageDescriptor:
d... | tap22sf/CS221-Project | dataConditioning.py | dataConditioning.py | py | 15,603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "numpy.resize",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
42459565645 | from django.conf.urls import url
from . import views
urlpatterns = [
# list all the reviews in the applications
url(r'^$', views.review_list, name="review_list"),
# detailing all the information about the reviews
url(r'^reviews/(?P<review_id>[0-9]+)/$', views.review_detail, name="review_detail"),
# listing a... | muhiza/reco | reviews/urls.py | urls.py | py | 1,026 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.... |
33899678903 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar
import attr
if TYPE_CHECKING:
from ..models.money import Money
T = TypeVar("T", bound="OrderMetricsInterval")
@attr.s(auto_attribs=True)
class OrderMetricsInterval:
r"""Contains order metrics.
Attributes:
interval (str): The int... | milyord/sp-api | sp/sales/models/order_metrics_interval.py | order_metrics_interval.py | py | 3,429 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_... |
8743893904 | from flask import flash, request, session
from flask_app.config.mysqlconnection import connectToMySQL
from flask_app import app
from flask_app.models import user
class Recipe:
def __init__(self, data):
self.id = data["id"]
self.name = data["name"]
self.description = data["descrip... | Rodvak/flask_app | models/recipee.py | recipee.py | py | 3,570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.request.form",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "flask.request.form",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
39321863478 | import yaml
config = yaml.load(open("bobuxserver.yaml", 'r'))
requiredParams = [
'dbpath', #bobuxserver.db
'certpath' #bobuxserver.websockets
]
for i in requiredParams:
if not (i in config):
raise KeyError("Config value " + i + " was not found.")
| ItsMajestiX/Bobux | BobuxServer/bobuxserver/config/__init__.py | __init__.py | py | 270 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "yaml.load",
"line_number": 3,
"usage_type": "call"
}
] |
39548019849 | from django import forms
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.template.loader import render_to_string
from django.utils.translation import get_language
from django.utils.translation import ugettext
from django.utils.translation import ugettext_lazy as _... | kaleidos/intranet | backend/autoreports/wizards.py | wizards.py | py | 7,461 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "djang... |
10387365373 | import skimage.io as io
import numpy as np
img = io.imread("C://Users//kamel//Music//misc//4.1.05.tiff")
D=np.array([[50,100],[150,200]])
img=img.astype(float)
q=img/85
x=q+(q-85*q)
io.imshow(x)
io.show()
| KameliaZaman/DIP-Lab | RnD/Alasdair/task3.8.py | task3.8.py | py | 207 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "skimage.io.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "skimage.io.imshow",
"line_n... |
20549720173 | from typing import List, Dict, Any
from hana04.apt.extensible.constants import HANA_META_PROPERTY_NAME
from hana04.apt.extensible.hana_object_meta import HanaObjectMeta
from hana04.apt.extensible.hana_property_spec import HanaPropertySpec
from hana04.apt.extensible.property_type_spec import VariableTypeSpec
from... | pkhungurn/hana04-python | src/hana04/apt/extensible/hana_late_deserializable_meta.py | hana_late_deserializable_meta.py | py | 4,639 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "hana04.apt.extensible.hana_object_meta.HanaObjectMeta",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "hana04.apt.extensible.hana_object_meta.HanaObjectMeta.assert_hana_object_can_be... |
44273360010 | import requests
from bs4 import BeautifulSoup
import csv
file = 'cards2.csv'
HOST = 'https://www.avito.ru'
URL = 'https://www.avito.ru/saratov/avtomobili/toyota/camry-ASgBAgICAkTgtg20mSjitg3UoCg?cd=1&p=1&radius=200'
HEADERS = {'User-Agent' : 'Mozilla/5.0 (windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gec... | Boris7739/Python | Parser-HTTP.py | Parser-HTTP.py | py | 2,237 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 34,
"usage_type": "call"
}
] |
71668880372 | from collections import deque
import logging
from os import path
import zmq
from distladder3.utils import Match
from distladder3.utils import unique_match_key
from distladder3.utils import get_num_lines
# AddMatch
class MsgRequestAddMatch(object):
def __init__(self):
self.match_id = None
self.players = []
... | dachidahu/SC2AgentsZoo2 | agent_TLeagueFormal14/DistLadder3/distladder3/cores/match_server.py | match_server.py | py | 5,909 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "zmq.Context",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "zmq.TCP_KEEPALIVE",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "zmq.TCP_KEEPALIVE_CNT",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "zmq.TCP... |
6158994721 | from constants.project_constants import *
from exceptions.api_exception_handler import *
import json
import requests
# @param {string} AUTH_TOKEN - The authentication token
def ping_user(AUTH_TOKEN: str, APPLICATION_ID: str, USER_ID: str) -> dict:
if not AUTH_TOKEN:
raise Exception("Authentication token ... | Nomad-Media/samples | nomad-samples/portal/py/guest_registration/account/ping_user.py | ping_user.py | py | 927 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
}
] |
20028734332 |
import torchvision.transforms as transforms
input_size = (224,224)
# once the images are loaded, how do we pre-process them before being passed into the network
# by default, we resize the images to 64 x 64 in size
# and normalize them to mean = 0 and standard-deviation = 1 based on statistics collected from
data_tr... | khaoulabelahsen/MVA-RecVis | A3_belahsen_khaoula/data.py | data.py | py | 1,033 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 10,
"usage_type": "call"
},
{
... |
29966272212 | import sys, os, string, threading
import paramiko
from paramiko import SSHClient
from scp import SCPClient
cmd = "./led_show.sh"
outlock = threading.Lock()
def workon(host):
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(host, username='pi', password='lux... | ZheyuHuang/rgb-led-matrix-display | pssh.py | pssh.py | py | 1,103 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Lock",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "paramiko.SSHClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "paramiko.AutoAddPolicy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scp.SCPClient... |
42723799056 | import matplotlib
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import math
class GraphBuilder ():
def __init__(self, backend=None):
if backend == None or backend == "":
return
else:
matplotlib.use(backend)
d... | corneel27/day-ahead | prog/da_graph.py | da_graph.py | py | 2,946 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.ara... |
7421726622 | from __future__ import unicode_literals
from django.core.validators import RegexValidator
from django.db import models
from django.utils.translation import ugettext as _
# Create your models here.
class Device(models.Model):
class Meta(object):
verbose_name = _("Meta")
verbose_name_plural = _("M... | ljk4160/tsschecker-django | MetaManagement/models.py | models.py | py | 5,174 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 12,
"usage_type": "call"
},
{
"ap... |
36468822583 | import pytest
import requests
import json
@pytest.fixture()
def fixture_dog_api_url():
return 'https://dog.ceo/api/'
# Получение количества всех картинок по указанной подпороде LIST ALL SUB-BREED IMAGES
@pytest.fixture()
def fixture_number_all_subbreed_image(test_input, expected_result, fixture_dog_api_url):
... | antaresalex/DZ_OTUS_QA_June | DZ_lesson_4/dog_ceo_test/conftest.py | conftest.py | py | 954 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
}
] |
12556000330 | #-- my_code_hw01.py
#-- hw01 GEO1015.2020
#-- DANIEL DOBSON
#-- 5152739
#-- DMITRI VISSER
#-- 4279913
#-- import outside the standard Python library are not allowed, just those:
import math
import numpy as np
import scipy.spatial
import startin
#-----
#-- tmp import by us, will be removed before handing in the assi... | LouiseMerle/GEO1015_hw01 | hw/01/code_daniel.py | code_daniel.py | py | 11,139 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.min",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 39,
... |
26969588095 | from collections import defaultdict, deque
import functools
import math
import re
def part1(data):
rows = parse_data(data)
r = rows[0]
window = deque(r[:4])
i = 4
while len(set(window)) < 4:
window.append(r[i])
i += 1
window.popleft()
return i
def part2(data):
ro... | hckhilliam/programming | AdventOfCode/2022/06.py | 06.py | py | 578 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 24,
"usage_type": "call"
}
] |
32851878171 | from datetime import datetime
from corehq.apps.sms.models import CallLog, INCOMING, OUTGOING
from corehq.apps.sms.mixin import VerifiedNumber
from corehq.apps.smsforms.app import start_session, _get_responses
from corehq.apps.smsforms.models import XFormsSession, XFORMS_SESSION_IVR
from corehq.apps.app_manager.models i... | gmimano/commcaretest | corehq/apps/ivr/api.py | api.py | py | 9,437 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dimagi.utils.web.get_url_base",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "corehq.apps.hqmedia.models.HQMediaMapItem.format_match_map",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "corehq.apps.hqmedia.models.HQMediaMapItem",
"line_nu... |
18341781625 | import numpy as np
from scipy.special import expit
#---------------------------------------------------------- Defining Needed Functions ---------------------------------------------------------------------------------------------------------------------
#-----------------------------------------------------... | AnonymousDeepDeducingCode/DeepDeducing | Run.py | Run.py | py | 15,571 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randi... |
73888324532 | """
Given an array of meeting time intervals where intervals[i] = [starti, endi], determine if a person could attend all meetings.
"""
from typing import List
class Solution:
def canAttendMeetings0(self, intervals: List[List[int]]) -> bool:
for i in range(len(intervals)):
for j in range(i+1, le... | xiaofanc/leetcode | 0252-meeting-rooms.py | 0252-meeting-rooms.py | py | 1,684 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 30,
"usage_type": "name"
}
] |
3827055411 | import streamlit as st
import pandas as pd
import altair as alt
import numpy as np
from PIL import Image
import plotly.graph_objs as go
import requests
from bs4 import BeautifulSoup
# Set the title and icon of the app
st.set_page_config(page_title="Masters 2023 Predictor", page_icon=":golf:", initial_sidebar_state="e... | andyuttley/Masters2023 | mastersapp2023.py | mastersapp2023.py | py | 10,950 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataF... |
7301784907 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 21 15:34:37 2014
@author: Lindsay
This script is used to construct and test the generator function for a single
Merkel cell-neurite connection.
The input of the function is stress, and output is current.
"""
import numpy as np
import os
from scipy.interpolate import int... | yw5aj/PlosCompBiol | gen_function.py | gen_function.py | py | 4,919 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "model_constants.FE_NUM",
... |
15302059927 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import pandas as pd
import numpy as np
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import GroupKFold
import lightgbm as lgb
import xgboost as xgb
import catboost as cat
def get_dictionary(s):
try:
d = eval(s)
except:
... | bigangrybird/Kaggle | tmdb/func.py | func.py | py | 11,693 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.expm1",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_... |
2109339684 | from concurrent.futures import ThreadPoolExecutor, as_completed
from functools import partial
import requests
from resumable.version import user_agent
from resumable.file import ResumableFile
from resumable.chunk import resolve_chunk
from resumable.util import CallbackDispatcher, Config
MiB = 1024 * 1024
class Re... | acroz/resumable.py | resumable/core.py | core.py | py | 4,231 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "resumable.util.Config",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "resumable.version.user_agent",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "c... |
6771846747 | """
메인
"""
import os
from fastapi import FastAPI
from fastapi_sqlalchemy import DBSessionMiddleware
from mangum import Mangum
from server_modules.database import SQLALCHEMY_DATABASE_URL
from server_modules.startup import apply_custom_openapi, apply_catch_internal_error, apply_alembic_startup, \
apply_include_route... | Kang-hadam/BreedCatcher | app/main.py | main.py | py | 1,459 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "server_modules.startup.apply_alembic_startup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
20782004273 | import yaml
import argparse
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from easydict import EasyDict as edict
import random
from datasets import *
from models import *
from experiments import *
from utils.utils import setup_default_logging
if __name__ == '__main__':
#### Error: Initializ... | Celiali/FixMatch | run_load.py | run_load.py | py | 2,342 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "yaml.YAMLError",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "easydict.E... |
8543607089 | """empty message
Revision ID: f0d57b692961
Revises: a7cf62463ec8
Create Date: 2022-03-07 17:16:37.161813
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'f0d57b692961'
down_revision = 'a7cf62463ec8'
branch_labels = None
depends_on = None
def upgrade():
# ... | jessy523/os_test | migrations/versions/f0d57b692961_.py | f0d57b692961_.py | py | 1,377 | python | en | code | 0 | github-code | 21 | [
{
"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... |
23114167116 | #!/usr/bin/env python
from typing import List, Union
import argparse
from collections import OrderedDict
from IPython.terminal.embed import InteractiveShellEmbed
from ebird.api import get_species_observations, get_regions
from geojson import Feature, Point, FeatureCollection
from geojson import dump as geojson_dump
fro... | brotherjack/CFL-MODU-GIS-Project | ebird_modu_sightings.py | ebird_modu_sightings.py | py | 26,588 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unicodedata.lookup",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "unicodedata.lookup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "logging.INFO"... |
16085807658 | from django.test import TestCase,Client
from django.urls import reverse
from blog.models import Book,Comment
import json
class TestViews(TestCase):
def setUp(self):
self.client = Client()
self.home_url = reverse('blog-home')
self.book_url = reverse('book-detail')
def test_book_list_vi... | muhit009/muhit | django_project/blog/tests/test_views.py | test_views.py | py | 710 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls... |
33695515969 | #!/usr/bin/env python2
import sys
import argparse
import time
import datetime
import subprocess
import re
import math
import socket
import pickle
import atexit
import cmd
import stats
import cPickle as pickle
def main():
parser = argparse.ArgumentParser(description="CATWOMAN benchmark program.")
parser.add_ar... | jledet/catbench | catbench.py | catbench.py | py | 7,504 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "atexit.register",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ab.stop_slaves",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "atexit.re... |
39648601643 | import numpy as np
import fluent_data_loader as fdl
from scipy.optimize import minimize
from sklearn.cluster import KMeans
class SearchState:
def __init__(self, val, hist=[]):
self._val = val
self._hist = hist
def get_val(self):
return self._val
def get_hist(self):
return ... | BinRoot/Fluent-Extractor | svm_rank_linux64/hierarchical_plan.py | hierarchical_plan.py | py | 4,600 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "numpy.var",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.standard_normal",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg... |
24411925330 | from django.core.mail import send_mail
from django.conf import settings
from django.shortcuts import render
from .models import signUp,itemDetail
from .forms import signUpForm,ContactForm,itemDetailForm
# Create your views here.
def navbar(request):
return render(request,"base.html",{})
def examplefluid(request):
r... | sachinalok143/django-work | src/newsletter/views.py | views.py | py | 2,335 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "forms.signUpForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "model... |
19492899784 | from os import makedirs, path
import time
import warnings
import sys
from enum import Enum
from typing import Dict, Optional, Union, List, Any, Callable
from qarnot.retry_settings import RetrySettings
from qarnot.forced_network_rule import ForcedNetworkRule
from . import get_url, raise_on_error, _util
from .status im... | qarnot/qarnot-sdk-python | qarnot/task.py | task.py | py | 73,192 | python | en | code | 12 | github-code | 21 | [
{
"api_name": "typing.Any",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pool.Pool",
"line_number": 34,
... |
40173189388 | import platform
from selenium import webdriver
from common import constant
from config import log
def get_driver(dirver_type="chrome"):
log.info("Chrome driver start begin.")
global DRIVER_PATH, driver
if dirver_type == "chrome":
options = webdriver.ChromeOptions()
if platform.uname().sys... | zouxianshi/UIautomate | common/driver_generator.py | driver_generator.py | py | 1,597 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.log.info",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.log",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.we... |
72247945974 | import numpy as np
from scipy.optimize import minimize
from optimz import Generator
from model import Utils
def quality_ratio(w, tc, pc, tn):
multis_wtc = np.multiply(w, tc)
sums_wtc = np.sum(multis_wtc, axis=1) + 1
multis_wpc = np.multiply(w, pc)
sums_wpc = np.sum(multis_wpc, axis=1) + 1
divisi... | elviskoci/xtable_finder | optimz/tuner.py | tuner.py | py | 6,591 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "numpy.multiply",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number":... |
1235221406 | import json
from typing import List, Tuple, Dict, DefaultDict
from collections import defaultdict
from dataclasses import dataclass, asdict
from copy import deepcopy
@dataclass
class Trade:
"""Trade DTO"""
price: float
qty: int
buy_id: str
sell_id: str
@dataclass
class OrderRq:
"""Order Requ... | functional-specification-based-testing/translator | translator.py | translator.py | py | 22,686 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.Default... |
13333811137 | import matplotlib.pyplot as plt
x_values = [1, 2, 3, 4, 5]
y_values = [1, 4, 9, 16, 25]
plt.scatter(x_values, y_values)
plt.title("square numbers", fontsize=20)
plt.xlabel("input_numbers", fontsize=15)
plt.ylabel("squares", fontsize=15)
plt.tick_params(axis="both", labelsize=14)
plt.show()
| roohom/demo | matplotlib/mpl02.py | mpl02.py | py | 294 | python | uk | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matp... |
42633864282 | from tap_kit import TapExecutor
from tap_kit.utils import timestamp_to_iso8601, transform_write_and_count, \
format_last_updated_for_request
import singer
import base64
import time
import datetime
from bs4 import BeautifulSoup
LOGGER = singer.get_logger()
EXTRACTION_WINDOW = datetime.timedelta(hours=1)
LOOKBACK_W... | Radico/tap-hudsonltd | tap_hudsonltd/executor.py | executor.py | py | 4,333 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "singer.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tap_kit.TapEx... |
13026330685 | from enum import Enum, auto
from dpkt import ip, ethernet, tcp, udp, http, UnpackError, ip6
from dpkt.utils import mac_to_str, inet_to_str
from datetime import datetime
class PacketDirection(Enum):
"""
表征网络流量的方向
"""
UNKNOWN = auto() # 未知
FORWARD = auto() # 正向
REVERSE = auto() # 反向
class F... | zoeyyyzou/pcap-analyser | pcap_extractor/Flow.py | Flow.py | py | 7,151 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 13,
"... |
44478111965 | # !/usr/bin/env python3
# -*- encoding: utf-8 -*-
# @author: condi
# @file: CZWCrawl.py
# @time: 19-7-17 上午11:10
import requests
import pymongo
import random
from datetime import datetime, timedelta
from time import strftime, localtime, sleep, time
from urllib import parse
from bs4 import BeautifulSoup
from requests... | condilin/BMS | services/CZWCrawl/Crawl.py | Crawl.py | py | 10,860 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "CZWCrawl.config.config.MONGO_HOST",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "CZWCrawl.config.config.MONGO_PORT",
"line_number": 34,
"usage_type": "argument"... |
40350820934 | """
Django command to wait for the database to be available.
"""
import time
import os
import sys
import shutil
import subprocess
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
class Command(BaseCommand):
"""Django command to wait for database."""
... | Marak123/SoundTime | backend/apis/management/commands/migrate_all_models.py | migrate_all_models.py | py | 3,022 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.p... |
75197605813 | import sys
from collections import deque
T = int(input())
for i in range(T):
N = list(map(int, input().split()))
N_list = deque(map(int, sys.stdin.readline().split()))
cnt = 0
while N_list:
max_num = max(N_list)
p_num = N_list.popleft()
N[1] -= 1
if max_num == p_num:
... | keeeeeey/baekjoon_algorithm | level18(queue, deque)/프린터 큐.py | 프린터 큐.py | py | 519 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 7,
"usage_type": "attribute"
}
] |
1787502790 | """
.. module:: get_data_galex
:synopsis: Returns extracted GALEX spectral data as a JSON string.
.. moduleauthor:: Scott W. Fleming <fleming@stsci.edu>
"""
import collections
from astropy.io import fits
from data_series import DataSeries
from parse_obsid_galex import parse_obsid_galex
#--------------------
def ... | spacetelescope/MASTDataDelivery | get_data_galex.py | get_data_galex.py | py | 3,589 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "parse_obsid_galex.parse_obsid_galex",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 77,
"usage_type": "call"
},
{
"a... |
37944379037 | import inspect
import io
import httpx
import pytest
from async_asgi_testclient import TestClient
from typing_extensions import Annotated
from kui.asgi import (
Body,
Cookie,
Depends,
Header,
Kui,
Path,
Query,
UploadFile,
)
@pytest.mark.asyncio
async def test_path():
app = Kui()
... | abersheeran/kui | tests/asgi/test_parameters.py | test_parameters.py | py | 5,841 | python | en | code | 276 | github-code | 21 | [
{
"api_name": "kui.asgi.Kui",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing_extensions.Annotated",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "kui.asgi.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "async_asgi_tes... |
35597940460 | import cv2
import numpy as np
from collections import deque
import tkinter as tk
from tkinter import *
import time
import math
yellowLower=(29,127,121)
yellowHigher=(179,255,255)
def isclose(a,b,maxi):
if a <= b+maxi and a>=b-maxi:
return True
else:
return False
cap = cv2.VideoCapture("data/v... | Theophile-Wemaere/ball_tracking_cv2 | temp.py | temp.py | py | 3,411 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
... |
4231502117 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 19 14:54:28 2018
@author: gydwo
"""
import csv
import matplotlib.pyplot
import random
import operator
import agentframework
f = open('in.txt', newline='')
#create the big, empty file i.e. 'environment
environment = []
#read in the csv data
reader = csv.reader(f, qu... | danialowen/Leeds_Day_3 | I_O.py | I_O.py | py | 1,465 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONNUMERIC",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "agentframework.Agent",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
19608085676 | import requests
url = 'https://petstore.swagger.io/v2/user'
payload = {
"id": 25251717,
"username": "LucasSosa",
"firstName": "Lucas",
"lastName": "Sosa",
"email": "lucassosa83@gmail.com",
"password": "123456123456",
"phone": "44556677",
"userStatus": 1
}
response = requests.post(url, json=payload)
... | Asinatum/HiberusWikipedia | Ejercicio 2 - TEST API/create_user.py | create_user.py | py | 531 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
}
] |
12378046154 | import urllib2
import json
def google_search(search_term):
"""
Searches for a `search_term` which should be a string or a value convertable to string.
Parameters:
- str `search_term`: a string to search for
Returns a tuple (on success):
- first value is a list of search results for t... | michaelpri10/WelcomeBot | google_search.py | google_search.py | py | 1,336 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "urllib2.Request",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 35,
"usage_type": "call"
}
] |
14367860671 | import os
import logging
import pickle5 as pickle
import torch
import torch.utils.data
import trimesh
import numpy as np
from scipy.spatial import cKDTree as KDTree
import core
import core.errors as errors
def select_samples(pts, values, num_samples=None, uniform_ratio=0.5):
"""
Randomly select a subset of ... | Terascale-All-sensing-Research-Studio/DeepJoin | deepjoin/python/core/data.py | data.py | py | 33,618 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.expand_dims",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
... |
43095842019 | # -*- coding: utf-8 -*
from openpyxl import load_workbook
from openpyxl.styles import Border, Side
import sqlite3
import datetime
import sys
import glob, os
import os.path
import platform
import shutil
from datetime import datetime
def main():
lerdata_identifica_qtde()
def lerdata_identifica_qtde():
... | msilva1610/lerexcel | Gera_Resumo_Projetos.py | Gera_Resumo_Projetos.py | py | 4,054 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
73036594613 | from __future__ import print_function
import os
import time
import random
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from six.moves import xrange
import data_utils
from seq2seq import Seq2Seq, Seq2Tree
criterion = nn.NLLLoss()
def get_batch(data, encoder_size... | LiuFang816/SALSTM_py_data | python/popol1991_seq2seq-pytorch-example/seq2seq-pytorch-example-master/translate.py | translate.py | py | 8,136 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "torch.nn.NLLLoss",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "six.moves.xrange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_... |
41237573882 | #This file implements a variational Bayesian Gaussian Mixture Model for clustering
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
import copy
import cProfile as profile
import time
import scipy
import scipy.special
import copy
import time
from src imp... | JohnGBaker/xgmmvb | gmmvb.py | gmmvb.py | py | 55,506 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.log",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "math.log",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 46,
"... |
36564637778 | from .pages.base_page import BasePage
from .pages.product_page import ProductPage
from .pages.basket_page import BasketPage
from .pages.login_page import LoginPage
from .pages.locators import BasePageLocators
from .pages.url import Url
import pytest
@pytest.mark.authorized_user
class TestUserAddToBasketFromProductPag... | motobeerx/RoadToTestDeveloper | test_product_page.py | test_product_page.py | py | 3,332 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pages.login_page.LoginPage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pages.url.Url.LOGIN_PAGE_URL",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pages.url.Url",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
8371463314 | from PyQt6.QtWidgets import QWidget, QHBoxLayout, QLabel, QLineEdit, QCheckBox, QSlider
from PyQt6.QtCore import QSize, QLocale, Qt
from PyQt6.QtGui import QFont, QDoubleValidator
from models import Parameter
from scipy.interpolate import interp1d # type: ignore
from numpy import log10
# from time import time
class ... | ZychuDev/relACs | views/ParameterSlider.py | ParameterSlider.py | py | 6,597 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyQt6.QtWidgets.QWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Parameter",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QHBoxLayout",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "... |
71818457014 | import logging
import os
from .expander import Expander
class Config:
def __init__(self, buildout, name, options):
self.name = name
self.options = options
self.logger = logging.getLogger(self.name)
self.clusters_conf = os.path.join(
buildout['buildout']['directory']... | henryj885/flock | flock-conf/flock_conf/recipe.py | recipe.py | py | 759 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "expander.Expander.from_fi... |
27686698877 | #!/usr/bin/python2
import cv
import cv2
import copy
import numpy
import math
import os
# import matplotlib.pyplot as plt # crashes when using opencv windows
import Gnuplot
gp = Gnuplot.Gnuplot()
gp("set style data lines")
gost_width = [520.0, 408.0]
gost_height = 112.0
gost_ratio = [gost_height / w for w in gost_wid... | herolover/ANPR | python/main.py | main.py | py | 2,394 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "Gnuplot.Gnuplot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": ... |
18405249399 | import random
from bisect import bisect_left
from collections import deque, defaultdict, Counter
from heapq import *
import unittest
from typing import List
class TrieNode:
def __init__(self):
self.children = defaultdict(TrieNode)
# self.children = {}
self.end_node = False
class WordDiction... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc211.py | lc211.py | py | 3,763 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "unittest.T... |
17817287935 | import sys
from collections import defaultdict
from heap.heapster import CustomHeap
class FindConnectedComponents:
def __init__(self, V: int):
self.vertices = V
self.graph = [[] * self.V]
def add_edge(self, u, v):
self.graph[u].append(v)
self.graph[v].append(u)
def dfs(s... | sephirot94/random_algos | euler/trees/graph.py | graph.py | py | 28,175 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 241,
"usage_type": "call"
},
{
"api_nam... |
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