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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30488355483 | # $ pip install tk
# $ pip install speedtest-cli
from tkinter import *
import speedtest
def speedCheck():
speed = speedtest.Speedtest()
speed.get_servers()
down = str(round(speed.download()/(10**6), 3)) + " Mbps"
up = str(round(speed.upload()/(10**6), 3)) + " Mbps"
label_Download.config(text=down)... | Fakher-Zaman/Python-Projects | Internet_Speed_Test.py | Internet_Speed_Test.py | py | 1,405 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "speedtest.Speedtest",
"line_number": 8,
"usage_type": "call"
}
] |
147463598 | import sqlite3
import sys
from csv import DictReader
import os
class SQLiteDB():
def __init__(self, dbname=':memory:'):
print(dbname)
self.conn=sqlite3.connect(dbname)
def importFromCSV(self, csvfilename, tablename, separator=";"):
with open(csvfilename, 'r') as fh:
... | worldbestpro/CodeAnalysis | scripts/depScripts/csv2sql.py | csv2sql.py | py | 1,766 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_numb... |
33837542767 | from django.http import JsonResponse
from rest_framework.decorators import api_view
from app.models import Merchants, Products
from app.api.lib import pagination
@api_view(['GET'])
def get_merchants(request, merchant_id=None):
rtype = "/merchants"
status = False
message = "General Failure"
data = []
... | trisamsul/olshop | app/api/merchants.py | merchants.py | py | 3,454 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.models.Merchants.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "app.models.Merchants.objects",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "app.models.Merchants",
"line_number": 25,
"usage_type": "name"
},... |
23043264094 | #!/usr/bin/env python
from gettext import install
import pandas as pd
import numpy as np
#install plotly
import plotly
#load VDJ data and create two arrays
#Source – TCRB only clonotypes
#Target – TCRA_TCRB clones (clone_id)
#Just two vectors with the same order of gems
def item_series(item, indexed=None):
... | simonestegenborg/KIR_project | sankey_plot.py | sankey_plot.py | py | 4,852 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.Series",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_nu... |
24073033752 | import requests, os, configparser
import pandas as pd
import matplotlib.pyplot as plt
import json
from sqlalchemy import create_engine
import psycopg2 as ps
from airflow import DAG
from airflow.operators.python import PythonOperator, BranchPythonOperator
from airflow.operators.bash import BashOperator
from ran... | oscar-dif/project1 | data_req.py | data_req.py | py | 3,950 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engin... |
15088417435 | import time
import datetime
import psutil
_FINISH = False
def create_file(name):
file = open(name, "a")
file.write(
"=======================================================================================================================================================================================... | AlexandraFishman/ProcessScanner | ProcessCapturing.py | ProcessCapturing.py | py | 2,756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "psutil.process_iter",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "psut... |
73735849333 | """Utility functions
"""
import hashlib
from typing import Any, List, Optional
import awkward
import dask_awkward
import hist
import numba
import numpy
from rich.progress import (
BarColumn,
Column,
Progress,
ProgressColumn,
Text,
TextColumn,
TimeElapsedColumn,
TimeRemainingColumn,
)
... | CoffeaTeam/coffea | src/coffea/util.py | util.py | py | 6,018 | python | en | code | 114 | github-code | 21 | [
{
"api_name": "lz4.frame.frame.open",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "lz4.frame.frame",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "lz4.frame",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "cloudpickle.load"... |
9425574786 | try:
from tpu_mlir.python import *
except ImportError:
pass
import numpy as np
import os
import sys
import argparse
import cv2
from tools.model_runner import mlir_inference, model_inference, onnx_inference
from PIL import Image
from math import sqrt, ceil
import itertools
import torch
def vis(img, boxes, sco... | sophgo/tpu-mlir | python/samples/detect_retinaface.py | detect_retinaface.py | py | 12,635 | python | en | code | 366 | github-code | 21 | [
{
"api_name": "cv2.FONT_HERSHEY_SIMPLEX",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "cv2.getTextSize",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.recta... |
17474530834 | """
Name: activation_funcs.py
Description:
3.2節で紹介された活性化関数をまとめておく．
"""
import numpy as np
import matplotlib.pylab as plt
def step_func(x):
"""
ステップ関数
"""
return np.array(x>0, dtype=np.int)
def sigmoid_func(x):
"""
シグモイド関数
"""
return 1/(1 + np.exp(-x))
def relu(x):
"""
Rec... | maniizu/practice_DL | activation_funcs.py | activation_funcs.py | py | 1,186 | python | ja | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number... |
42665703123 | """Latent Dirichlet Allocation
Patrick Wang, 2021
"""
from typing import List
from gensim.corpora.dictionary import Dictionary
from gensim.models import LdaModel
import numpy as np
def lda_gen(vocabulary: List[str], alpha: np.ndarray, beta: np.ndarray, xi: int) -> List[str]:
'''
vocabulary: list of strings(... | hj151mids/LDATopicModeling | lda_test.py | lda_test.py | py | 1,631 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.dirichlet",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
6502053110 | from typing import Tuple, Dict, List, Optional, Any
import numpy as np
import logging
from scipy import ndimage
from pyobs.utils.focusseries.base import FocusSeries
from pyobs.utils.curvefit import fit_hyperbola
from pyobs.images import Image
log = logging.getLogger(__name__)
class ProjectionFocusSeries(FocusSeri... | pyobs/pyobs-core | pyobs/utils/focusseries/projection.py | projection.py | py | 6,503 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyobs.utils.focusseries.base.FocusSeries",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_na... |
15603028067 | from rest_framework import serializers
from django.contrib.auth.models import User
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
from api.models import (
Admin,
Person,
Driver,
VehicleOwner,
Vehicle,
Fine,
ViolationType,
Accident,
Message,
PoliceOffic... | NimeshRancha/TrafficTicketBackend-main | TrafficTicket/api/serializers.py | serializers.py | py | 7,823 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 29,
"usage_ty... |
19057639043 | from socket import socket, AF_INET, SOCK_STREAM
import logging
from threading import Thread
from utils import *
logging.basicConfig(level=logging.DEBUG)
class Client:
def __init__(self, token, server_ip, server_port):
self.token = token
self.server_addr = (server_ip, server_port)
self.skt... | h4m5t/Tropy | src/client.py | client.py | py | 1,409 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
... |
12410003359 | import os
import torch
from HE2RNA_GAMIL_all_genes.models.model_RNAPath import RNAPath
from utils.eval_utils import initiate_model
import argparse
import os
import pandas as pd
parser = argparse.ArgumentParser()
parser.add_argument("--tissue_name", type=str, default=None)
parser.add_argument("--tissue_code", type=str... | GlastonburyC/RNAPath | inference.py | inference.py | py | 3,200 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch... |
73034599413 | from twisted.internet import defer
from tests import unittest
from mock import Mock, NonCallableMock
from tests.utils import setup_test_homeserver
from synapse.replication.resource import ReplicationResource
class BaseSlavedStoreTestCase(unittest.TestCase):
@defer.inlineCallbacks
def setUp(self):
sel... | LiuFang816/SALSTM_py_data | python/matrix-org_synapse/synapse-master/tests/replication/slave/storage/_base.py | _base.py | py | 1,548 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "tests.unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tests.unittest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tests.utils.setup_test_homeserver",
"line_number": 12,
"usage_type": "call"
},
{
"api_n... |
8888841776 | from typing import List, Tuple
import torch
from torch import Tensor
import torch.nn.functional as F
import torchaudio
from torch.utils.data import Dataset, DataLoader
from pathlib import Path
import logging
import random
from glob import glob
from torch.utils.data.distributed import DistributedSampler
import os
import... | RF5/simple-sashimi | sashimi/dataset.py | dataset.py | py | 5,266 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torchaudio.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
... |
31034882785 | import matplotlib.pyplot as plt
import numpy as np
def cost_plot(z, names):
"""
plot training improvement
"""
plt.figure()
plt.grid()
for i in range(len(z)):
plt.plot(z[i])
plt.legend(names)
plt.title("Cost during Training")
def plot(x, x_lqr, dt):
"""
plot th... | tony-x-lin/susd_search | susd_lqr/plotting_tools/plot.py | plot.py | py | 865 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.grid",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matpl... |
72075185973 | import matplotlib.pyplot as plt
import numpy as np
# 데이터를 분리하는 모듈을 불러옵니다.
from sklearn.model_selection import train_test_split
# 학습용 데이터와 테스트용 데이터를 나누어주는 기능을 불러옵니다.
# 사이킷런에 구현되어 있는 회귀 모델을 불러옵니다.
from sklearn.linear_model import LinearRegression
"""
1. 데이터를 생성하고,
생성한 데이터를
학습용 데이터와 테스트용 데이터로 분리하여
반환하는 함수를 ... | ssum21/STUDY_sklearn | simple_linearRegrssion_1.py | simple_linearRegrssion_1.py | py | 3,910 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
560297724 | #It's khoji <a.khoji2001@gmail.com>
# * in this code means that you should put your individual information
#pip install bs4,selenium
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
#to use your default google chrome account (not Guest account) you shou... | khojiT/selenium-web-scraper | selweb.py | selweb.py | py | 1,556 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{... |
70455665332 | #!/usr/bin/env python3
# coding=utf-8
from theHarvester.discovery import qwantsearch
import os
import pytest
from _pytest.mark.structures import MarkDecorator
from typing import Optional
pytestmark: MarkDecorator = pytest.mark.asyncio
github_ci: Optional[str] = os.getenv('GITHUB_ACTIONS') # Github set this to be the ... | Chauvryl/Projet-2-Py | theHarvester-master/tests/discovery/test_qwantsearch.py | test_qwantsearch.py | py | 1,440 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "_pytest.mark.structures.MarkDecorator",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "... |
29964357023 | #덱
from collections import deque
i = int(input())
count=0
d=deque()
while(i>count):
#print(d)
a= input()
if (a=="front"):
if len(d)==0:
print("-1")
else :
top = d[0]
print(top)
elif (a=="back"):
if len(d)==0:
print("-1")
... | GDSC-SCH/2021-GDSCSCH-AlgorithmStudy | 09_민새미/10866.py | 10866.py | py | 1,004 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
17638747346 | # -*- coding: utf-8 -*-
"""
created by huash06 at 2015-04-29 13:56
The n-queens puzzle is the problem of placing n queens on an n×n chessboard such that no two queens attack each other.
Given an integer n, return all distinct solutions to the n-queens puzzle.
Each solution contains a distinct board configuration ... | shhuan/algorithms | leetcode/hard/N_Queens.py | N_Queens.py | py | 2,198 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "copy.copy",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "datetime.datet... |
21902475272 | # unit tests of the user_db module
from users import user_db
import uuid
import pytest
user_fixture = {
'given_name': 'Bob',
'surname': 'Roberts',
'zip': '12345',
'email': 'bob@roberts.org'
}
def test_new_user():
persisted_user = user_db.new_user(user_fixture)
assert persisted_user is not N... | andrewsw/simple-user-api | tests/test_user_db.py | test_user_db.py | py | 2,404 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "users.user_db.new_user",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "users.user_db",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "users.user_db.new_user",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "users.use... |
31534789692 | #!/usr/bin/python2
# vim: set et sts=4 sw=4:
"""
This python module provides a way to control wireless network functions on a
headless Raspberry Pi which has netctl (e.g. arch linux).
It has the following features without the netctl module:
- Displays a single flashing LED if there is no IP address
- Displays a... | shblythe/python2-pifacenetctl | pifacenetctl.py | pifacenetctl.py | py | 6,785 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "netctl.Netctl.stop_active_connection",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "netctl.Net... |
71850833653 | import json
from tkinter import *
from tkinter import filedialog
from PIL import Image, ImageTk
class Pessoa:
def __init__(self, nome="", idade=0, foto=None):
self.nome = nome
self.idade = idade
self.foto = foto
class JanelaCadastro:
def __init__(self, master):
self.master = ... | TonyRio/2023-Facial_Rec_drones | master/cadastro.py | cadastro.py | py | 2,770 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "... |
14645455221 | # -*- coding: utf-8 -*-
"""
Created on 19 August 2022
@author: Berkay
"""
# libraries
import torch
import torch.backends.cudnn as cudnn
import os
import yaml
import cv2
from PIL import Image
# A class for human detection
class HumanDetection:
def __init__(self, model_path, conf):
"""
model_pa... | Samet-Berkay-Taskin/Person-Detection-YOLOV5 | Person_detection_YOLOV5/human_detection.py | human_detection.py | py | 1,947 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.hub.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.hub",
"line_number": 27,
"usage_type": "attribute"
}
] |
73519345013 | import datetime
import config
import jsonrpcclient
import requests
import logging
import logging.config
import pickle
import shutil
logging.config.dictConfig(config.LOGGING_CONF)
class jeedom_api:
def __init__(self):
self._load_db()
def request_jeedom(self, command, **kwargs):
try:
... | jbfuzier/JeedomToInflux | jeedom_to_alerta.py | jeedom_to_alerta.py | py | 3,135 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config.LOGGING_CONF",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name":... |
15961734099 | from PIL import Image
import numpy as np
import cv2
import time
def init_img_PIL(filepath):
return Image.open(filepath)
def init_img(filepath):
return cv2.imread(filepath)
def save_img_PIL(filepath,img):
img.save(filepath)
def show_img(img):
res = cv2.resize(img,None,fx=0.5, fy=0.5)
cv2.ims... | treyamador/computer_vision | theory/removal.py | removal.py | py | 2,002 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 21,... |
29697627210 | import streamlit as st
import pandas as pd
import numpy as np
import pickle
import matplotlib.pyplot as plt
import seaborn as sns
import sys
sys.path.append("..")
model = pickle.load(open("models/RFR-sales-27-05-2022-09-40-35.pkl", 'rb'))
scaler = pickle.load(open('models/scaler-27-05-2022-09-40-35.pkl', 'rb'))
select... | benbel376/rossman_predictive_analysis | apps/predictor.py | predictor.py | py | 3,447 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number... |
21434808091 | import enum
import re
from typing import Dict, Iterable, List, Optional, Set, Union
from . import enums
class ParserState(enum.Enum):
AWAITING_DATA = enum.auto()
OBJECT_AWAIT_ATTRIBUTE = enum.auto()
OBJECT_AWAIT_TYPE = enum.auto()
OBJECT_AWAIT_VALUE = enum.auto()
OBJECT_AWAIT_MULTILINE_OCTAL_VALU... | lukegb/buildcatrust | buildcatrust/nss_parser.py | nss_parser.py | py | 5,072 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "enum.auto",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 11,
... |
73617641013 | import pygame
import math
import spell
import settings
"""
@Author : YANG Lei (S201970)
GARDIER Simon (S192580)
Player(Sprite) : Classe représentant les joueurs (sorciers)
"""
class Player(pygame.sprite.Sprite):
#Liste contenant les informations des différents joueurs
PLAYERS = [
... | sgardier/thewitcherscontest | Class/player.py | player.py | py | 10,926 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pygame.sprite",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "settings.WINDOW_DIMENSIONS",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
11519508445 | from player import Player
import random
from collections import OrderedDict
TARGET_SCORE = 1000
POINTS = OrderedDict((
('111', 1000),
('666', 600),
('555', 500),
('444', 400),
('333', 300),
('222', 200),
('1', 100),
('5', 50),
))
def input_to_int(message):
while True:
try... | Letao-WANG/OneZero | farkle_test/run.py | run.py | py | 3,060 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "player.Player",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "player.name",
... |
73365936372 | import datetime
arr=[]
for i in range(2000,2400):
d=datetime.datetime(i,2,1)
if d.strftime("%a")=="Sat":
arr.append(1)
elif d.strftime("%a")=="Sun" and not ((i%4==0 and i%100!=0) or i%400==0):
arr.append(1)
else:
arr.append(0)
t=int(input())
for i in range(t):
m=list(map(int... | bhatnitish1998/aps-2020 | codechef_LONGCOOK.py | codechef_LONGCOOK.py | py | 637 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "call"
}
] |
22083657530 | #!/usr/bin/python
import json
import os
import re
from PySide2 import QtCore
from PySide2.QtGui import QClipboard
from PySide2.QtWidgets import QUndoStack, QAction
from NodeGraphQt.base.actions import setup_actions
from NodeGraphQt.base.commands import (NodeAddedCmd,
NodeRemoved... | wow2006/NodeGraphQt | NodeGraphQt/base/graph.py | graph.py | py | 21,443 | python | en | code | null | github-code | 21 | [
{
"api_name": "PySide2.QtCore.QObject",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "NodeGraphQt.base.model.NodeGraphModel",
"line_number": 25,
"usage_type": "call"
},
{
"... |
12508758636 | import itertools
import math
import random
MAX_V_SPEED = -40 # ( ≤ 40m/s in absolute value)
MAX_H_SPEED = 20 # ( ≤ 20m/s in absolute value)
DELTA_TIME = 5
# Creating population - Avec random, tu prends le risque d'avoir des valeurs trop disparates dès le départ
_values = itertools.product([e for e in range... | FlorianHuveteau/coding_game | training/mars_lander/ga_mars_lander.py | ga_mars_lander.py | py | 6,729 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.product",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.radians",
"li... |
9100003995 | import logging
import os
import datetime
import time
import typing
import copy
from collections import defaultdict
import pickle
from functools import partial
import numpy as np
from ConfigSpace.configuration_space import Configuration
from smac.tae.execute_ta_run_hydra import ExecuteTARunHydra
from smac.tae.execut... | timothyyu/ml_monorepo | SMAC3/smac/facade/hydra_facade.py | hydra_facade.py | py | 11,310 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "typing.Type",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "smac.scenario.scenario.Scenario",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": ... |
38070212036 | import sys
import psycopg2
import UserPanel
import LoginWindow
import AdminPanel
connection = psycopg2.connect(
database="kp0092_27",
user="st0092",
password="qwerty92",
host="172.20.8.18",
port="5432"
)
connect_cursor = connection.cursor()
start_window = LoginWindow.LoginWindow(connect_cursor)
access_level... | Lostmindd/PostgreSQLSUBD | main.py | main.py | py | 638 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "psycopg2.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "LoginWindow.LoginWindow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "UserPanel.UserPanel"... |
23358341102 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2023/7/11 20:34
# @Author : LiuXiu
import sys
from flask import Flask, request, send_file
import os
import pandas as pd
app = Flask(__name__)
app.config['SERVER_NAME'] = 'localhost:9997' # 指定监听端口为5000
# new_filename =""
@app.route('/')
def index():
return... | ThornBirdlx/job-tools | file_processsing.py | file_processsing.py | py | 2,220 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "flask.request.fil... |
19930022013 | # -*- coding: utf-8 -*-
from scipy.spatial import distance as dist
from collections import OrderedDict
import numpy as np
class CentroidTracker:
def __init__(self, maxDisappeared=50, maxDistance=50):
# 下一个可用的对象ID
self.nextObjectID = 0
# 给定对象ID及相应质心
self.objects = OrderedDict()
# 标记为“消失”的连续帧数
... | wmn-231314/OldCare | oldCare-cv/track/centroidtracker.py | centroidtracker.py | py | 3,688 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "scipy.spa... |
16216821334 | import numpy as np
import sys
from collections import defaultdict
import cPickle as pickle
from itertools import product
import matplotlib
import matplotlib.pyplot as plt
sys.path.append('/Volumes/CHRIS/Documents/research/pypragmods/pypragmods/')
from lexica import Lexica, NULL_MSG, DISJUNCTION_SIGN
from pragmods impor... | rlevy/pragmatic_disjunction | bls41/implicature_sims.py | implicature_sims.py | py | 10,573 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
22006989836 | import logging
import logging.handlers
import threading
from itertools import zip_longest
from logging import _STYLES
from logging import Formatter
from .filters import LoggingFilter
try:
from raven.handlers.logging import SentryHandler
except ImportError:
SentryHandler = None
_lock = threading.RLock()
de... | okomestudio/pyaides | src/pyaides/logging/config.py | config.py | py | 5,751 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "raven.handlers.logging.SentryHandler",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "threading.RLock",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.root",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name":... |
21690091699 | # pylint: disable=C0115,C0116,W0212
from datetime import datetime
from freezegun import freeze_time
from captchamonitor.utils.models import Relay
from captchamonitor.utils.onionoo import Onionoo
from captchamonitor.core.update_relays import UpdateRelays
from captchamonitor.utils.consensus_parser import ConsensusRela... | woswos/CAPTCHA-Monitor | tests/integration/test_update_relays.py | test_update_relays.py | py | 3,283 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "captchamonitor.utils.consensus_parser.ConsensusRelayEntry",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "nam... |
27651774609 | import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
from torch.nn import functional as F
class ProtoHATT(fewshot_re_kit.framework.FewShotREModel):
def __init__(self, sentence_encoder, shots, hidden_size=230):
few... | thunlp/HATT-Proto | models/proto_hatt.py | proto_hatt.py | py | 3,110 | python | en | code | 176 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "fewshot_re_kit.framework",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fewshot_re_k... |
40575250324 | from pdb import set_trace as T
import numpy as np
import time
from collections import defaultdict
from forge.blade.io.stimulus.static import Stimulus as Static
from forge.blade.io.serial import Serial
def camel(string):
'''Convert a string to camel case'''
return string[0].lower() + string[1:]
'''Internal dat... | Quaternion66/neural-mmo | forge/blade/io/stimulus/dynamic.py | dynamic.py | py | 3,587 | python | en | code | null | github-code | 21 | [
{
"api_name": "forge.blade.io.stimulus.static.Stimulus.dict",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "forge.blade.io.stimulus.static.Stimulus",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "forge.blade.io.serial.Serial.key",
"line_number": 78,
... |
39792686192 | # https://towardsdatascience.com/using-spacy-3-0-to-build-a-custom-ner-model-c9256bea098
from exporter import jsonl_to_list
import pandas as pd
from tqdm import tqdm
import spacy
from spacy.tokens import DocBin
# def generate_training_file(training_data, outdir, model = 'en_core_web_md'):
# """ Generate a spacy tr... | FieteO/doccano_spacy | generate_train_file.py | generate_train_file.py | py | 2,548 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "spacy.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.DocBin",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 47,
"usage_type": "call"
}
] |
24160937571 | from django.shortcuts import render,redirect
# Create your views here.
def home(request):
if('reader' in request.session):
action=[{"name":"view books","link":""},{"name":"profile","link":"profile"},{"name":"request","link":"request"},{"name":"orders and requests","link":"view_order"}]
tp="reader"
... | connectheshelf/connectheshelf | home/views.py | views.py | py | 1,439 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 37,
"usage_type": "call"
},
{
"api_nam... |
33053711640 | from typing import List, Tuple, Dict
from functools import reduce
from collections import defaultdict
def get_input() -> List[List[int]]:
f = open("input/day9.txt", "r")
return [[int(c) for c in line.strip()] for line in f.readlines()]
def is_low_point(y, x, map):
point = map[y][x]
for (i, j) in neigh... | seveneightn9ne/advent2021 | day9.py | day9.py | py | 1,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 41,
"usage_type": "call"
}
] |
31539193138 | import os
import torch.utils.data as data
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
class ImgLoader(data.Dataset):
def __init__(self, root, ann_file, transform=None, target_transform=None):
print('=> loading annotations from: ' + os.path.basename(ann_file) + ' ...')
s... | KaiyuYue/cgnl-network.pytorch | lib/dataloader.py | dataloader.py | py | 821 | python | en | code | 259 | github-code | 21 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "attribute"
},
{
... |
7507131435 | #!/usr/bin/env python3
import json
import os
import unittest
from selfdrive.ui.update_translations import TRANSLATIONS_DIR, LANGUAGES_FILE, update_translations
class TestTranslations(unittest.TestCase):
@classmethod
def setUpClass(cls):
with open(LANGUAGES_FILE, "r") as f:
cls.translation_files = json.... | neokii/openpilot | selfdrive/ui/tests/test_translations.py | test_translations.py | py | 1,946 | python | en | code | null | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "selfdrive.ui.update_translations.LANGUAGES_FILE",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
... |
11155546065 | import os, sys
from flask import Flask, jsonify, render_template
import sqlite3
import json
app = Flask(__name__, static_url_path='')
class Collectable:
def __init__(self):
self.id = 0
self.name = ""
self.display_name = ""
self.price = 0
self.type = ""
self.location... | sillypears/acnh-data | app.py | app.py | py | 1,316 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
... |
31289246494 | from typing import List
from collections import defaultdict, deque
class Solution: # brute force bfs
def findMinHeightTrees(self, n: int, edges: List[List[int]]) -> List[int]:
e = defaultdict(list)
for u, v in edges:
e[u].append(v)
e[v].append(u)
ans = []
m... | sengami-yuka/py | coding_problems/leetcode/310_minimum_height_trees.py | 310_minimum_height_trees.py | py | 4,608 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.List",
... |
9253936561 | from neo4j.v1 import GraphDatabase
from library_app.model import Book, Borrower, Library
neo4jDriver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "12345678"))
sess = neo4jDriver.session()
def book_to_dict(book):
if not book:
return None
book_dict = {}
if book.isbn:
book... | fredzqm/library_app | library_app/neo4j/neo4j_library.py | neo4j_library.py | py | 14,289 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "neo4j.v1.GraphDatabase.driver",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "neo4j.v1.GraphDatabase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "library_app.model.Book",
"line_number": 39,
"usage_type": "call"
},
{
"api_nam... |
42491942482 | from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict
import pytest
from kedro.io import AbstractDataSet, DataCatalog, DataSetError, MemoryDataSet
from kedro.pipeline import Pipeline, node
from kedro.pipeline.decorators import log_time
from kedro.runner import ThreadRunner
def source():
... | zoeylin6/kedroo | tests/runner/test_thread_runner.py | test_thread_runner.py | py | 8,170 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kedro.io.DataCatalog",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "kedro.pipeline.Pipeline",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "kedr... |
23621447228 | import re
import requests
import json
from bs4 import BeautifulSoup
from flask_restful import reqparse
from flask import Blueprint,send_from_directory
from requests.utils import requote_uri
from config import ApiPath,ShikimoriLink
from utils.lru_cache import timed_lru_cache
from utils.messages import messages
from util... | Semolik/AnimePlayer | api/anidub.py | anidub.py | py | 14,596 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 27,
"usage_type": "name"
},
{
"api_n... |
19500577042 | import torch
import torch.optim as optim
import matplotlib.pyplot as plt
from skimage.io import imread, imsave, imshow
from src import network
from pathlib2 import Path
from skimage import img_as_ubyte
from src.tools import ProcessBar, CSV_Recorder, ElapsedTimeProcess, to_tensor, normalize, simple_denorm
def to_numpy... | ChajinShin/DeepImagePrior | solver.py | solver.py | py | 6,292 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "skimage.img_as_ubyte",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.tools.simple_denorm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.tools.to_tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "src.... |
22550038969 | from flask import Flask, request, url_for, render_template, redirect, session, flash
app = Flask(__name__)
app.secret_key = "secret"
class Jogo:
def __init__(self, nome, categoria, console):
self.nome = nome
self.categoria = categoria
self.console = console
jogo1 = Jogo("Mario", "Ação", "SNES")
jogo2 = Jogo("... | btonella/flask | primeiroTeste.py | primeiroTeste.py | py | 1,831 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "flask.render_templ... |
40747307926 | # Скрипт для проверки переходника USB - 16 UART.
# Необходимо соеденить вывод TXD c выводом RXD для каждого порта.
import serial
import serial.tools.list_ports
print("Получение списка портов ...")
ports = serial.tools.list_ports.comports()
for port in ports:
if port.vid != 0x0403 or port.pid != 0x6011:
c... | bravikov/test-usb-16-uart | test.py | test.py | py | 863 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "serial.tools.list_ports.comports",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "serial.tools",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",
"line_number": 15,
"usage_type": "call"
}
] |
21833786207 | import mimetypes
import os
import re
from jinja2 import Template
from lib.parse import parse_markdown_with_frontmatter
class Entry(object):
def __init__(self, path, parent=None):
self.abs_path = path
self.parent = parent
self.root = parent.root if parent else self
self.name = os.... | dtao/danieltao.com | lib/structure.py | structure.py | py | 5,302 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.basename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.relpath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
22462619345 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name="home"),
path('signup', views.signup, name="signup"),
path('signin', views.signin, name="signin"),
path('signout', views.signout, name="signout"),
path('select_genres', views.... | Muskaan06/cross-domain-recommendation | CDR/authentication/urls.py | urls.py | py | 502 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
5778652926 | # 206. Reverse Linked List
from typing import List, Optional
from linklist import ListNode, init_looped_linked_list, values_from_linked_list
example1_arg1 = [1, 2, 3, 4, 5]
example1_out = [5, 4, 3, 2, 1]
example2_arg1 = [1, 2]
example2_out = [2, 1]
class Solution:
def reverseListIterative(self, head: Optional[... | jowls/challenges | leetcode/python/206.py | 206.py | py | 2,099 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "linklist.ListNode",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "linklist.values_from_linked_list",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "ty... |
26835391892 | # 클래스로 파이토치 모델 구현하기: 로지스틱 회귀
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
# x data, y data new
x_data = [[1, 2], [2, 3], [3, 1], [4, 3], [5, 3], [6, 2]]
y_data = [[0], [0], [0], [1], [1], [1]]
# Tensor 변환
x_train = torch.FloatTensor(x_data)
y_train = torch.FloatTensor... | NoirCade/MS-AI-School | 60일차/ex05.py | ex05.py | py | 1,527 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.FloatTensor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
17351256283 | import re
import random
import numpy as np
import os.path
import scipy.misc
import shutil
import zipfile
import time
import tensorflow as tf
from glob import glob
from urllib.request import urlretrieve
from tqdm import tqdm
class DLProgress(tqdm):
last_block = 0
def hook(self, block_num=1, block_size=1, tota... | xfqbuaa/Lyft_Challenge_Carla | helper.py | helper.py | py | 6,989 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tqdm.tqdm",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_num... |
6591963847 | import math
import pandas as pd
import numpy as np
from scipy.sparse import coo_matrix
from numpy.linalg import norm
import sys
def MSE(R,P,Q,lamda):
ratings = R.data
count = len(ratings)
err = 0
for i in range(count):
rating=ratings[i]
r = R.row[i]
c = R.col[i]
if rati... | YiqunGan/Big-data-mining-with-Python-and-Spark | Big data mining with Python and Spark/yiqun_gan_hw2/yiqun_gan_task3.py | yiqun_gan_task3.py | py | 3,423 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 4... |
16165055052 | from django.core.paginator import Paginator
from django.shortcuts import render
from books.models import Book
def books_view(request):
template = 'books/books_list.html'
books = Book.objects.all()
print(books)
context = {"books" : books}
return render(request, template, context)
def books_date(r... | Vladdikanov/2.1_dj_DZ | models_list_displaying/books/views.py | views.py | py | 1,002 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "books.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "books.models.Book.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "books.models.Book.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name":... |
18551862552 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import *
import math
from snorkel.learning.pytorch import LSTM
from pytorch_test_base import PyTorchTestBase
import unittest
class TestLSTM(PyTorchTestBas... | snorkel-team/snorkel-extraction | test/learning/pytorch/test_lstm.py | test_lstm.py | py | 1,648 | python | en | code | 33 | github-code | 21 | [
{
"api_name": "pytorch_test_base.PyTorchTestBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "snorkel.learning.pytorch.LSTM",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.isnan",
"line_number": 31,
"usage_type": "call"
},
{
"api_na... |
1835252981 | # Importaciones y configuraciones
import requests
import sett
import json
import time
import re
from datetime import datetime
from langchain.llms import OpenAI
from langchain_experimental.sql import SQLDatabaseChain
from langchain.prompts.prompt import PromptTemplate
from sqlalchemy.exc import ProgrammingError
from ... | JPierr3/bigdateros-llm-sql | services.py | services.py | py | 6,364 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "sett.whatsapp_token",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sett.whatsapp_url",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.du... |
6793455602 | import sys
import os
import numpy as np
import pandas as pd
import dill
import argparse
from tqdm import tqdm
from pyquaternion import Quaternion
from kalman_filter import NonlinearKinematicBicycle
from sklearn.model_selection import train_test_split
nu_path = './devkit/python-sdk/'
sys.path.append(nu_path)
sys.path.a... | zqzqz/AdvTrajectoryPrediction | data/nuScenes/preprocessing.py | preprocessing.py | py | 13,688 | python | en | code | 75 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
33606748657 |
from django.conf.urls import url
from . import views
urlpatterns = [
url( r'^$', views.post_list, name='thiscanbeanything'),
url( r'^post/(?P<id>\d+)/$', views.post_detail, name='post_detail'),
url( r'^post/new_post/$', views.post_new, name='post_new'),
url( r'^post/(?P<id>\d+)/edit/$... | sp44s/my-blog-app | blog/urls.py | urls.py | py | 360 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
71837094453 | import torch
from torch import nn
from torch.nn import functional as F
import math
import numpy as np
import scipy
from backbones import SUPPORTED_BACKBONES
class GaussianBlurLayer(nn.Module):
def __init__(self, n_channels, kernel_size):
super(GaussianBlurLayer, self).__init__()
self.n_channels = ... | bsuleymanov/alpha-matting | src/model.py | model.py | py | 14,119 | python | en | code | 1 | github-code | 21 | [
{
"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.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
2428330730 | import os, sys
import argparse
import pandas as pd
import urllib.request
def download_dataset(url, file_name):
urllib.request.urlretrieve(url, file_name)
return
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Dowload raw coropora given dataset list.')
parser.add_argument('--dataset... | nreimers/flax-sentence-embeddings | dataset/download_data.py | download_data.py | py | 1,173 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_na... |
23387029952 | import sqlite3 as lite
from tabulate import tabulate
# functionality
class DatabaseManage(object):
def __init__(self):
global con
try:
con=lite.connect('courses.db')
with con:
cur = con.cursor()
cur.execute("CREATE TABLE IF NOT EXISTS course(id... | aniket-teltumbade-au9/python-sqlite-crud | python_course_helper.py | python_course_helper.py | py | 2,822 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 75,
"usage_type": "call"
}
] |
1573085587 | import numpy as np
from collections import defaultdict
class Agent:
def __init__(self, nA=6, alpha=.01, gamma=0.9):
""" Initialize agent.
Params
======
- nA: number of actions available to the agent
"""
self.nA = nA
self.Q = defaultdict(lambda: np.zeros(sel... | JoeZhao84/drl | drlnd/taxi-v2/agent.py | agent.py | py | 2,302 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
15361944710 | from PyQt5.QtWidgets import QApplication
from authorization import AddClient
import sys
def except_hook(cls, exception, traceback):
sys.__excepthook__(cls, exception, traceback)
app = QApplication(sys.argv)
app.setStyle('Fusion')
ex = AddClient()
ex.show()
sys.excepthook = except_hook
sys.exit(app.exec())
| syrez1/Library_System-QtProject | main.py | main.py | py | 315 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.__excepthook__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "authoriz... |
2954153104 | from email import header
from http import cookies
import re
from urllib import response
from bs4 import BeautifulSoup
from requests import head, request
import requests
from config import API_KEY
from twocaptcha import TwoCaptcha
solver= TwoCaptcha('10946c2ec04f490bf2bb20b2c9141734')
url= 'https://infograins.com/cont... | manojdubey123/bypassing-captcha | demo.py | demo.py | py | 1,456 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "twocaptcha.TwoCaptcha",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "urllib.response",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup"... |
10524738376 | from flaskr.models.models import (Students, Teachers, Managers,
Classes, Schools)
from sqlalchemy import func
def handleSearch(search, key):
if key == 'all':
results = searchForAll(search.lower())
elif key == 'students':
results = searchForStudents(search.low... | Ebra01/SsMS | flaskr/SearchEngine/utils.py | utils.py | py | 2,439 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flaskr.models.models.Students.query.filter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flaskr.models.models.Students.query",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "flaskr.models.models.Students",
"line_number": 28,
"u... |
15745630346 | """
COMP30024 Artificial Intelligence, Semester 1, 2021
Project Part A: Searching
Created by ThePinkCoder (Yongfeng Qin & Yun-Chi Hsiao) on Mar.23rd 2021
Module: state
This module contains a class named called State which contains board attribute.
Most states would have a parent state and generate child states based o... | is0xjh25/ropasci-360-single-game | search/state.py | state.py | py | 3,413 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "search.algorithm.hn",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "search.utility.get_ordered_list",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": ... |
36331307170 | import glob
import shutil
import json
imagesPath = "/Users/lingmou/Desktop/ali/"
def main():
# images = glob.glob(imagesPath + "*.jpg")
index = 7900001
data = read_json("/Users/lingmou/Desktop/python-script/ALI-project/annotationJson.json")
for item in data:
print(index)
shutil.copy(i... | xytysingle/AnnotationTool | python-script/ALI-project/renumber.py | renumber.py | py | 842 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "shutil.copy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 28,
"usage_type": "call"
}
] |
15474849389 |
from torch_geometric.utils.random import erdos_renyi_graph
import torch
from torch_geometric.data import Data, InMemoryDataset
from torch_geometric.data import DataLoader
from torch_geometric.utils import to_dense_adj
class Erdos_Renyi_pyg(InMemoryDataset):
def __init__(self, root, nb_nodes1=200, nb_graphs1=500, ... | AdrianArnaiz/DiffWire | datasets/Erdos_Renyi_dataset.py | Erdos_Renyi_dataset.py | py | 4,460 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "torch_geometric.data.InMemoryDataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.save",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "torch_geome... |
1122992091 | # deepsea-ai, Apache-2.0 license
# Filename: commands/monitor.py
# Description: Thread to monitor the status of processing jobs in an ECS cluster.
import time
from pathlib import Path
from threading import Thread
from sqlalchemy.orm import sessionmaker
from deepsea_ai.commands.monitor_utils import log_scaling_activi... | mbari-org/deepsea-ai | deepsea_ai/commands/monitor.py | monitor.py | py | 3,788 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "threading.T... |
20227689341 | import utils
import random
import MT19937RNG
import struct
KEY = random.randint(0, 2 ** 16)
PREFIX = utils.randomString(random.randint(10, 100))
def encrypt(plain, key):
prng = MT19937RNG.MT19937RNG()
prng.seed_mt(KEY)
keystream = b"".join(struct.pack('>I', prng.extract_number()) for _ in range(len(plain)... | max644/matasano | 24.py | 24.py | py | 1,323 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "utils.randomString",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "MT19937RNG.MT19937RNG",... |
31626330484 | import numpy
import h5py
from mayavi import mlab
"""
View data stored in tvb h5 files directly.
Used for debugging purposes. It does not use tvb.
"""
def show_sensors(pth, red=None, green=None):
"""
show sensors stored in a h5.
:param red: a list of labels to be shown in red
"""
if red is ... | the-virtual-brain/tvb-data | tvb_data/sensors/view_h5_3d.py | view_h5_3d.py | py | 1,724 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "mayavi.mlab.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mayavi.mlab",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "h5py.File",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
31432217222 | import os
from requests.api import head
import spiders.httputils
import datetime
import zipfile
import os.path
from urllib.parse import urlparse
class BaseSpider:
def __init__(self):
super().__init__()
self.host = ''
self.base_url = ''
self.output_dir = ''
def load(self, url,... | 406345/novel_spider_py | spiders/basespider.py | basespider.py | py | 4,824 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "urllib.parse.urlparse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
24567947850 | #!/usr/bin/python3
from loadgui import *
from loadmap import photo
from piechart import pie_chart
from hex_to_gdkrgba import hex_to_gdkrgba
from gdkrgba_to_hex import gdkrgba_to_hex
from colorsave import colorsave
# Path
import os
import datetime
import json
# GUI Application
import gi
import gettext
gi.require_ver... | 0m3re/SNCF | visuel/visuel.py | visuel.py | py | 12,549 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "gi.require_version",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gettext.gettext",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
... |
72336840693 | from django.shortcuts import render, reverse
from django.http import JsonResponse, HttpResponseNotFound
def index(request, path):
path = path.replace('_', ':')
print(reverse(path))
try:
url = reverse(path)
except Exception as e:
return HttpResponseNotFound(f"url with pathname '{path... | git00000/corpus | corpus/apps/url_service/views.py | views.py | py | 385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseNotFound",
"line_number": 14,
"usage_type": "call"
},
{
... |
5055774692 | import pymongo
def update_vacancies(data):
connect = pymongo.MongoClient()
vac = connect["job_seeking"]["vacancy"]
for i in data:
print('i', i)
vac.update_one({'_id': i.pop('url')}, {'$set': i}, upsert=True)
| melnichenkojulia/WebScrapping | JobScrapping/utils/database.py | database.py | py | 239 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
}
] |
36069919871 | from setuptools import setup
import os
curdir = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(curdir, "README.rst"), 'r') as readme:
long_description = readme.read()
setup(
name = "array2latex",
version = "0.5",
description = "A tool to convert array into latex tables",
long_description = lon... | adonese/array2latex | setup.py | setup.py | py | 470 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
17660159743 |
import csv
import pyodbc
def load_csv_data(file_path, table_name, connection_string):
connection = pyodbc.connect(connection_string)
cursor = connection.cursor()
cursor.fast_executemany=True
with open(file_path, 'r') as csv_file:
csv_reader = csv.DictReader(csv_file)
header = csv_rea... | vpicchianti/decision_support_systems | LDS_part1_group32_assignment2.py | LDS_part1_group32_assignment2.py | py | 2,094 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyodbc.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"lin... |
27685881120 | #!/usr/bin/env python3
import pandas as pd
from nltk.tokenize import RegexpTokenizer
from nltk import word_tokenize
import functools
import operator
import re
import pickle
import json
from tqdm import tqdm
print("Using configuration file : config.json")
config = json.loads(re.sub(r'#.*?\n', '', open('config.json', '... | ajhoop/MIDS_Capstone | src/Transformer_v1/HS_extract/reformat.py | reformat.py | py | 2,398 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
... |
17916403762 | # coding=utf-8
import json
def _decode_list(data):
rv = []
for item in data:
if isinstance(item, unicode):
item = item.encode('utf-8')
elif isinstance(item, list):
item = _decode_list(item)
elif isinstance(item, dict):
item = _decode_dict(item)
... | konfan/OuterSort | transcodec/transcodec/helper/jsontool.py | jsontool.py | py | 1,086 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 42,
"usage_type": "call"
}
] |
71359778614 | import matplotlib.pyplot as plt
from fightcalculator import Squad
def compute_result_of_a_fight1(A, α, B, β, C, γ):
a, b, c = Squad(1, A, α), Squad(1, B, β), Squad(1, C, γ)
a, b, c = Squad.fight3_to_death(a, b, c)
return a.units, b.units, c.units
def compute_result_of_a_fight2(A, α, B, β, C, γ):
a,... | hvox/game_ideas | statistics.py | statistics.py | py | 1,080 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fightcalculator.Squad",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fightcalculator.Squad.fight3_to_death",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fightcalculator.Squad",
"line_number": 8,
"usage_type": "name"
},
{
"ap... |
680072743 | # coding: utf-8
import re
import json
import os
import fnmatch
from datetime import datetime, timedelta
from shutil import rmtree
from slackbot.bot import respond_to
from . import jira
from . import crucible
from . import bamboo
from . import stash
from . import settings
from utils.slackbot_utils import send_messag... | gpailler/AtlassianBot | plugins/clean.py | clean.py | py | 9,978 | python | en | code | 21 | github-code | 21 | [
{
"api_name": "utils.slackbot_utils.send_message",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.slackbot_utils.send_message",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 56,
"usage_type": "call"
},
{
"ap... |
32934375092 | import unittest
import six
import os.path as osp
import _base_testing as bt
from psyplot.compat.pycompat import OrderedDict
import psyplot.data as psyd
import pandas as pd
import xarray as xr
import psyplot.plotter as psyp
from itertools import repeat
from psyplot import rcParams
import psyplot.config as psyc
try:
... | psyplot/psyplot | tests/test_plotter.py | test_plotter.py | py | 34,281 | python | en | code | 69 | github-code | 21 | [
{
"api_name": "psyplot.plotter.docstrings",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "psyplot.plotter",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "psyplot.config.setup_logging",
"line_number": 24,
"usage_type": "call"
},
{
"api_... |
21391211182 | """Module requesting questions for the quiz from opentdb.com - Trivia question database
"""
import requests
AMOUNT = 10 # up to 50
QUESTION_TYPE = "boolean"
response = requests.get(url=f"https://opentdb.com/api.php?amount={AMOUNT}&type={QUESTION_TYPE}")
response.raise_for_status()
question_data = response.json()["re... | Artur-Niezgoda/udemy-quiz-project | data.py | data.py | py | 328 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
72360872053 | from tools import list_tools
from src.sort import bubble_sort, selection_sort, insert_sort, shell_sort, merge_sort, quick_sort, heap_sort, bucket_sort
import time
from tools import file_tools, visualization, performance
import platform
from tools.iostream import printw
import os
import matplotlib.pyplot as plt
all_sor... | grayondream/algorithm-forth | test/test/sort.py | sort.py | py | 3,052 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "src.sort.bubble_sort.all",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "src.sort.bubble_sort",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "src.sort.selection_sort.all",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
10098249639 | import requests
import http.cookiejar as cookielib
import re
import time
from PIL import Image
# 构造 Request headers
# agent = 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Mobile Safari/537.36'
agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) Apple... | jiangliu2u/PythonCoreLearn | loginZhihu.py | loginZhihu.py | py | 3,677 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.session",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "http.cookiejar.LWPCookieJar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "http.cookiejar",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "requests.... |
30194314191 | from unittest import TestCase, main
from requests import get
TOKEN = "c439e1209216cc7e7c73a3a8d1d12bfd"
CITY = "Norway" # test *only*
BASE_URL = "https://api.openweathermap.org/data/2.5/weather?"
URL = BASE_URL + "q=" + CITY + "&appid=" + TOKEN
resp_PROD = get(URL)
class testAPILoad(TestCase):
def test_data_pr... | Futura-Py/weather | tests/test_api.py | test_api.py | py | 1,002 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "unittest.main",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "unittest.main",
"line... |
7003724656 | import requests # HTTP lib for python
import json # Python Standard Library - JSON utility
import elementtree.ElementTree as ET # fast XML parser
from django.conf import settings
from django.shortcuts import render_to_response, redirect
from django.contrib import ... | justingosan/SendBox | sendbox/views.py | views.py | py | 10,540 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.settings.BOX_API_KEY",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
16756066804 | from analysisargs import AnalysisArgs
from analysisargs import Logs
from analysisargs import ProjectionsType
from analysisargs import DevicesType
from analysisargs import FuncIdsType
from analysisargs import TestModesType
import numpy as np
import typing
class DrawingHandler:
_a: AnalysisArgs
"""Hyperparamete... | mnapravnik/Efficiency-of-dragging-gestures | analysis/drawingtimes.py | drawingtimes.py | py | 5,197 | python | en | code | null | github-code | 21 | [
{
"api_name": "analysisargs.AnalysisArgs",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "analysisargs.Logs",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "analysisargs.AnalysisArgs",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": ... |
27005311121 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException, ElementClickInterceptedException
from time import time, sleep
from pprint import pprint
# TODO Create a keyword list
def str_to_tupl... | Vincent-Muchiri/Python-Programming | Automating LinkedIn Jobs [49] - Selenium/submit_query.py | submit_query.py | py | 13,496 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.common.by.By.TAG_NAME",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 41,
"usage_type": "call"
},
... |
31605407667 | import pytest
from user_api.graphql.resolvers import FilterQueryBuilder
from user_api.models import User
@pytest.fixture
def builder():
return FilterQueryBuilder(User.query, {"name_Istartswith": "aaa",
"last_name_exact": "Doe"})
def test_entity(builder):
assert bu... | rai200890/graphene-flask-example | tests/user_api/graphql/resolvers/test_filter_query_builder.py | test_filter_query_builder.py | py | 634 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "user_api.graphql.resolvers.FilterQueryBuilder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "user_api.models.User.query",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "user_api.models.User",
"line_number": 9,
"usage_type": "name"... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.