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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72870085662 | import torch
import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = nn.Conv2d(1, 16, 2, 1)
self.conv2 = nn.Conv2d(16, 32, 2, 1)
self.dropout1 = nn.Dropout(0.25)
self.dropout2 = nn.Dropout(0.5)
... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/image_classification/pFedMe_ID1597_for_PyTorch/FLAlgorithms/trainmodel/models.py | models.py | py | 5,108 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
72979497822 | import sys
import requests
from typing import List, Union
import xmltodict
import json
class BaseQuery:
# class atributes
PACKAGE_ROOT = '.'
HEADERS = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36',
}
@... | leoxiang66/requests-toolkit | requests_toolkit/_academic.py | _academic.py | py | 4,242 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "xmltodict.parse",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_num... |
71481083422 | from django.http import HttpResponse
from django.shortcuts import render
from post.models import Post
def post_list(request):
posts = Post.objects.all()
context = {
'posts': posts
}
return render(request, 'post/post_list.html', context=context)
def post_detail(request, post_pk):
post = P... | Gyong1211/my-insta | django_app/post/views.py | views.py | py | 462 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "post.models.Post.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "post.models.Post.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "post.models.Post",
"line_number": 7,
"usage_type": "name"
},
{
"api_name... |
37306000456 | from revere.sources.base import BaseRevereSource
from sqlalchemy import create_engine
class DatabaseSource(BaseRevereSource):
name = 'Database'
def __init__(self, description=None, config={}):
super(DatabaseSource, self).__init__(description, config)
required_params = ['connection_string']
... | pegler/revere | revere/sources/database.py | database.py | py | 1,055 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "revere.sources.base.BaseRevereSource",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 16,
"usage_type": "call"
}
] |
22465620156 | from difflib import SequenceMatcher
import pandas as pd
import cv2
from pytesseract import image_to_string
import pytesseract
import os
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
labels = ["croaked растаял", "величии лишил", "Вот он ваш знак", "гидов лавки", "дружбу cloud... | KoriganGH/ComputerVision | lab_7/task3.py | task3.py | py | 3,769 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytesseract.image_to_string",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv... |
74934170142 | import os.path as osp
import time
from argparse import ArgumentParser, Namespace
from mmengine import Config, DictAction, mkdir_or_exist
from uce.edit import EDITORS, load_editor, parse_concepts, save_editor
from uce.utils import setup_logger
def parse_args() -> Namespace:
parser = ArgumentParser('Edit model we... | YecanLee/Concept_Editing_Stable_Diffusion | uce_paper_related/edit_model_comment.py | edit_model_comment.py | py | 4,539 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mmengine.DictAction",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "argparse.Namespace",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mmengi... |
31915649335 | def getPermutation(n,k):
from functools import reduce
n_list=[str(i) for i in range(1,n+1)]
n_list="".join(n_list)#如果是n_list=" ".join(n_list)。这里" "里面是有空格的，则生成的字符串之间都是有空格的
#permutations=reduce([lambda s,c:p[:i]+c+p[i:] for i in range(len(p)) for p in s],n_list,[])
#生成全排列注意点
permutations = reduce(... | zhouhaosame/leetcode_zh | 1-60/60_permutation_sequence.py | 60_permutation_sequence.py | py | 2,413 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "functools.reduce",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.factorial",
"line_number": 46,
"usage_type": "call"
}
] |
41986541281 | from rest_framework.schemas import AutoSchema
from Apps.common.services import Params, BaseService
class GoogleMobility_Service(BaseService):
def __init__(self):
self.dropped_keys = []
self.single_keys = ['CountryName', 'CountryCode']
self.params = [
Params(name='regionCode',... | ArtemisDicoTiar/covid_data_blog | covid_api_django/Apps/Google/services.py | services.py | py | 2,330 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "Apps.common.services.BaseService",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "Apps.common.services.Params",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Apps.common.services.Params",
"line_number": 14,
"usage_type": "call"
},
... |
70272706784 | __author__ = 'zhamilto'
from tests_framework.ui_building_blocks.screen import Screen, ScreenActions
from tests_framework.ve_tests.tests_conf import DeviceType
import logging
MAX_FOR_YOU_ASSETS = 10
MAX_ON_AIR_ASSETS = 10
MAX_FEATURE_POSTER_ASSETS = 4
OPEN_VOD_ACTION_MENU_TIME_OUT = 2.5
class TvFilter(Screen):
de... | anshsaikia/GSSDeliverables-YesProject | VE-Tests/tests_framework/ui_building_blocks/K/tv_filter.py | tv_filter.py | py | 12,465 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tests_framework.ui_building_blocks.screen.Screen",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tests_framework.ui_building_blocks.screen.Screen.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tests_framework.ui_building_blocks.scr... |
2710868244 | # coding: utf-8
"""
Parser/type converter for data in Interactive Brokers' Flex XML format.
https://www.interactivebrokers.com/en/software/reportguide/reportguide.htm#reportguide/activity_flex_query_reference.htm
"""
# stdlib imports
import xml.etree.ElementTree as ET
# local imports
from ibflex import schemata
from... | emteedubs/ibflex | ibflex/parser.py | parser.py | py | 4,217 | python | en | code | null | github-code | 7 | [
{
"api_name": "xml.etree.ElementTree.ElementTree",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "ibflex.schemata.FlexQueryResponse.convert",
"line_number": 29,
"usage_type": "cal... |
4303888850 | import cv2
import matplotlib.pyplot as plt
def main():
windowName="Live Webcam Video Feed Capture"
cv2.namedWindow(windowName)
cap = cv2.VideoCapture(0)
filename='C:\\Users\\ASH\\Desktop\\New folder\\456.avi'
codec= cv2.VideoWriter_fourcc('X','V','I','D')
framerate=30... | ash264/OpenCV_practice | Webcam recording to file.py | Webcam recording to file.py | py | 1,067 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.namedWindow",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter... |
33822915885 | import hashlib
import yaml
import url_utils
import config
def tokenize_string(string):
tokens = []
cur_token = ""
for char in string:
if char in config.settings["ALLOWED_AN_CHARS"]:
cur_token += char
else:
if cur_token:
tokens.append(cur_token)
... | timoteostewart/benson | text_utils.py | text_utils.py | py | 667 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "config.settings",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "url_utils.tokenize_url",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 28,
"usage_type": "call"
}
] |
14197628235 | # from pudb import set_trace; set_trace()
from typing import List, Tuple
import math
class Solution1:
def longestPath(self, parent: List[int], s: str) -> int:
"""LeetCode 2246
I am glad that this solution was almost exactly the same as the updated
one last time I encountered this problem ... | FanchenBao/leetcode | 2023_01_challenge/01_13_2023.py | 01_13_2023.py | py | 2,326 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 40,
"usage_type": "name"
}
] |
30795291296 | import os
import re
import uuid
import logging
import base64
import io
import time
import numpy as np
import tensorflowjs as tfjs
from datetime import datetime, timedelta
from flask import Flask, jsonify, request
from functools import wraps
from base64 import encodebytes
from werkzeug.security import generate_password_... | mihajlo97/etf-thesis-2022 | backend/app.py | app.py | py | 18,483 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_... |
14196100315 | # from pudb import set_trace; set_trace()
from typing import List
from functools import lru_cache
class Solution1:
def findPaths(self, m: int, n: int, maxMove: int, startRow: int, startColumn: int) -> int:
"""LeetCode 576
Not very difficult. A typical DP problem. We record the number of
w... | FanchenBao/leetcode | 2021_06_challenge/06_24_2021.py | 06_24_2021.py | py | 4,542 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "functools.lru_cache",
"line_number": 81,
"usage_type": "call"
}
] |
36720500435 | # -------------------------------------------------------------
from AI_intro_project.Coordinate_and_Move \
import Coordinate, Move
from random import choice
import matplotlib.pyplot as plt
class State():
'''a state of the game'''
def __init__(self) -> None:
'''
Each state ... | htnminh/AI-intro-project | AI_intro_project/State.py | State.py | py | 9,158 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "AI_intro_project.Coordinate_and_Move.Coordinate",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "AI_intro_project._Utilities._Utilities",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 108,
"... |
2644804534 | import numpy as np
import matplotlib as mlp
mlp.use('TkAgg')
import matplotlib.pyplot as plt
x = np.arange(0, 6, 0.1)
y1 = np.sin(x)
y2 = np.cos(x)
# graph
plt.plot(x, y1, label="sin")
plt.plot(x, y2, linestyle="--", label="cos")
plt.xlabel("x")
plt.xlabel("y")
plt.title("sin & cos")
plt.legend()
plt.show()
| brightparagon/learn-machine-learning | python-numpy-to-cnn/7-matplotlib-cos.py | 7-matplotlib-cos.py | py | 311 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 8,
... |
35826575782 | import pandas as pd
import numpy as np
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import ColumnTransformer
from xgboost import XGBClassifier
import logging
from typing import List, Tuple, Dict
import pickle
logger = logging.getLogger(__name__)
def load_data(data_file: str) ... | Gefte/API-for-Data-Science | models/pipeline_model.py | pipeline_model.py | py | 6,019 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFr... |
40626049571 | import os
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'README.md')) as f:
README = f.read()
with open(os.path.join(here, 'CHANGES.md')) as f:
CHANGES = f.read()
requires = [
'numpy',
'scipy',
'matplotlib',
'pyyaml'... | trmznt/fatools | setup.py | setup.py | py | 1,031 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
72845170782 | # coding=utf-8
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | Ascend/ModelZoo-PyTorch | ACL_PyTorch/contrib/nlp/tinybert/TinyBERT_preprocess_data.py | TinyBERT_preprocess_data.py | py | 12,032 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "io.open",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
43058549463 | # -*- coding: utf-8 -*-
# @Time : 2019/8/21 9:00
# @Author : Youpeng Li
# @Site :
# @File : 0179_largestNumber.py
# @Software: PyCharm
'''
179. Largest Number
Given a list of non negative integers, arrange them such that they form the largest number.
Example 1:
Input: [10,2]
Output: "210"
... | YoupengLi/leetcode-sorting | Solutions/0179_largestNumber.py | 0179_largestNumber.py | py | 1,586 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "functools.cmp_to_key",
"line_number": 44,
"usage_type": "call"
}
] |
22901244140 | import os
from casacore.tables import table
import numpy as np
import pylab
from numpy import ma
import sys
import warnings
import time
import math
import argparse
class CovWeights:
def __init__(self,MSName,ntsol=1,SaveDataProducts=0,uvcut=[0,2000],gainfile=None,phaseonly=False,nfreqsol=1,norm=False):
if M... | ebonnassieux/Scripts | QualityWeightsLOFAR.py | QualityWeightsLOFAR.py | py | 16,489 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "casacore.tables.table",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "casacore.tables.table",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "warnings.filt... |
26775597336 | from django.shortcuts import render, redirect, render_to_response
from django.views.generic import TemplateView, View
from django.http import HttpResponse, HttpResponseRedirect
from django.views.generic.edit import UpdateView
from .forms import EventForm
from .models import Event
from django.contrib.auth.models import ... | skkk98/HelpAtEase | Ngo/views.py | views.py | py | 3,411 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "models.Event.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Event.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Event",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "forms... |
11436652498 | import numpy as np
import matplotlib.pyplot as plt
import pint
ureg = pint.UnitRegistry()
def mass_cylinder(diam, length, rolls):
# one sheet of A4 paper weighs 5g
m = 5 * ureg.g
# area of one sheet of A4 is
a = 210 * 297 * ureg.Quantity("mm^2")
rho = m / a
cylinder_area = diam * np.pi * leng... | jasper-day/Notes | Class_Notes/2B_Eng_Design/euler_beam_paper.py | euler_beam_paper.py | py | 1,989 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pint.UnitRegistry",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_numb... |
6020504272 | import math
import numpy as np
from scipy import signal
from scipy.interpolate import interp1d
import pandas as pd
import matplotlib.pyplot as plt
def load_pulse(sample_rate, pulse_filename, save_filename):
pulse_data = pd.read_csv(pulse_filename)
start_time =20
end_time =50
start = sample_rate *... | kinemasa/ImageSensing2 | skinSeparation/_plotCorrectPulse/program/plotCorrectPulse.py | plotCorrectPulse.py | py | 11,797 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
71329158302 | from fastapi import APIRouter, HTTPException, Depends
from typing import List
from src.api import codes
from src.api.errors import APIValidationError
from src.auth.middleware import user_id_authorization
from src.api.errors import error_response
from src.organization.service import get_organization_by_id
from src.serv... | krissukoco/fastapi-appointment | src/service/router.py | router.py | py | 3,715 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "src.service.service.get_services_by_organization_id",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
... |
9918056128 | import torch
from torch.autograd import Variable
import torchvision.transforms as transforms
import torchvision.datasets as dsets
import numpy as np
class LogisticRegression(torch.nn.Module):
def __init__(self, input_dim, output_dim):
super(LogisticRegression, self).__init__()
self.linear = torch.n... | JohnF1103/ML-OPT-project | code/DPSGD_SImple_classifier.py | DPSGD_SImple_classifier.py | py | 3,184 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torchvision.datasets.MNIST... |
32757234668 | #!/usr/bin/env python
#!_*_coding:utf-8_*_
import logging
import inspect
import os
from os.path import join
from os.path import exists
from os.path import dirname
def enc_addlog(file_name, line_no, info, log_name):
if not exists(dirname(log_name)):
os.makedirs(dirname(log_name))
logger = logging.getL... | sumoning/sumoning | logger_unit.py | logger_unit.py | py | 1,319 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
73690583904 | """
Instructions:
1) Download the expert policies from https://github.com/aravindr93/hand_dapg
2) Place the policies from dapg_policies in the current directory
3) Run this script passing in the appropriate env_name
"""
import d4rl
import argparse
import os
import gym
import numpy as np
import pickle
from mjrl.utils.g... | Farama-Foundation/D4RL | scripts/reference_scores/adroit_expert.py | adroit_expert.py | py | 1,300 | python | en | code | 1,058 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_n... |
13927603259 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from hanabi_learning_environment.agents.rainbow.run_experiment import ObservationStacker
from pathlib import Path
import time
from hanabi_learning_environment.agents.rainbow.third_party.dopamine import chec... | sarahgillet/hanabi-rl-course | run_experiment_play.py | run_experiment_play.py | py | 17,313 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "gin.tf.parse_config_files_and_bindings",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "gin.tf",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "hanabi_live_bot.hanabi_client.HanabiClient",
"line_number": 45,
"usage_type": "name"
},
... |
74143138462 | from flask import *
import sqlite3
app = Flask(__name__)
@app.route('/')
def index():
conn = sqlite3.connect('data.db')
cur = conn.execute("SELECT * FROM sensors WHERE id=1")
row = cur.fetchone()
if int(row[1]) > 28:
msg = "temperature is High"
else:
msg = "Normal"
... | Ashuhegde/IoT-based-Temperature-Monitoring-System | main.py | main.py | py | 648 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
}
] |
40960303591 | import copy
import math
import warnings
import torch
import torch.nn as nn
from mmcv import ConfigDict
from mmcv.cnn import (Linear, build_activation_layer, build_norm_layer,
constant_init, xavier_init)
from mmcv.ops.multi_scale_deform_attn import (
MultiScaleDeformableAttnFunction, multi_sc... | liuhang1234/PriorLane | mmseg/models/necks/transformer_util.py | transformer_util.py | py | 12,430 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.MultiheadAttention",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
28464468109 | from typing import Optional, List
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
# Time Complexity: O(n)
# Space Complexity: O(1)
def swapPairs(self, head: Optional[ListNode]) -> Optional[ListNode]:
if not head:
... | JianLiu666/StudyNote-DSA | leetcode/p00024/p00024.py | p00024.py | py | 1,371 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
}
] |
38149178419 | from collections import Counter
num = input("Enter total number of gloves : ")
print("Enter colors of array : ")
arr = list(map(int,input().split()))
sum = 0
n = Counter(arr)
for i in n.values():
sum += (i//2)
print(sum) | Anusha-Subramanyam/Assignments-DSC | Assignment1/Number-of-pairs-Gloves.py | Number-of-pairs-Gloves.py | py | 226 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
}
] |
6863305429 |
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, HttpResponseRedirect, Http404
from django.shortcuts import render
from django.template import RequestContext
from website.models import Order, Payment
from django.contrib.auth.models import User
#author SI
@login_required... | IndomitableIbises/Bangazon-Sprint-3 | website/views/order_view.py | order_view.py | py | 1,053 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "website.models.Order.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "website.models.Order.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "website.models.Order",
"line_number": 14,
"usage_type": "name"
},... |
3614194458 | import logging
logger = logging.getLogger(__name__)
import time
from pathlib import Path
from typing import List, Tuple
from collections import deque
from copy import deepcopy
from production import utils
from production.data_formats import *
from production.geom import poly_bb, rasterize_poly, visible
from production... | Vlad-Shcherbina/icfpc2019-tbd | production/solvers/greedy_beam.py | greedy_beam.py | py | 7,493 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "production.game.Game",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "production.game.BacktrackingGame",
"line_number": 25,
"usage_type": "name"
},
{
"api_name":... |
44673544619 | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLCla... | JoeyLI17/Lincoln_System_Integration_ROS | ros/src/tl_detector/tl_detector.py | tl_detector.py | py | 9,326 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "rospy.init_node",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "styx_msgs.msg.TrafficLight.UNKNOWN",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "styx_msgs.msg.TrafficLight",
"line_number": 42,
"usage_type": "name"
},
{
... |
39903878717 | import base64
import json
import os
import random
import requests
import time
from Crypto.Cipher import AES
from Crypto.Util.Padding import pad
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
def buildHeader():
return {
'Content-Type': 'application/json',
... | hao-Cheng-JNU/stuhealth | stuhealth.py | stuhealth.py | py | 5,108 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.adapters.HTTPAdapter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "request... |
24055541970 | from librosa import load, stft, istft
import torch
import numpy as np
from mir_eval.separation import bss_eval_sources
from hparams import create_hparams
import os
import utils
from models.model import Model
import json
from soundfile import write
from tqdm import tqdm
import argparse
class EVAL(object):
def __in... | jlqian98/mmdenselstm | evaluate.py | evaluate.py | py | 3,288 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "models.model.Model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
3236531817 | import json
import boto3
import uuid
from boto3.dynamodb.conditions import Key, Attr
def lambda_handler(event, context):
#get form data:
#get body of request to extract url:
formData_raw = event["body"]
formData = json.loads(formData_raw)
username = formData['username']
dynamodb = boto3.r... | farhan0167/price-tracker | lambda_functions/amazonPriceMonitorGetItemsByUsername.py | amazonPriceMonitorGetItemsByUsername.py | py | 1,238 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.dynamodb.conditions.Attr",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",... |
34154253944 | import rasterio
import pandas as pd
band_id = 1
def target(raster_name):
raster = rasterio.open(raster_name)
band_arr = raster.read(band_id)
target_elevation = []
for i in range(band_arr.shape[0]):
for j in range(band_arr.shape[1]):
# filter Nodata value -9999
if band_arr[i ,j] < -0.... | kiwi1210/landslide_volume | plot_volchange.py | plot_volchange.py | py | 2,129 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rasterio.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.options",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
73509599582 | import json
import logging
import time
import typing as t
import ping3 # type:ignore
from . import logger
from .constant import WiFiState
from .helper import create_adapter, get_current_os_info
from .wifi import LinuxAdapter, MacAdapter, WifiAdapter, WindowsAdapter
class Netbox(object):
"""A class that contain... | Hellboycc/netbox | netbox/core.py | core.py | py | 7,740 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "ping3.ping",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "wifi.WifiAdapter",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "helper.create_a... |
18602640337 | #!/usr/bin/env python3
import libtcodpy as libtcod
from functools import reduce
import re # for sub
from interfaces import Carryable, Activatable, Activator, CountUp, Mappable, TurnTaker, StatusEffect, LightSource
from ui import UI, HBar, Message
from errors import InvalidMoveError
class Item(Carryable, Activatable... | frogbotherer/DalekRL | items.py | items.py | py | 22,218 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "interfaces.Carryable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "interfaces.Activatable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "interfaces.Mappable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "inter... |
20517516837 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 18 09:57:49 2020
@author: sandhya chettiar
"""
# Convolution & Correlation
from numpy.core.defchararray import array
from skimage import data
import numpy as np
from matplotlib import pyplot as plt
# Read the image
img = data.text()
plt.gray()
# ... | Sandhya18Chettiar/Digital-Image-Processing-Lab | Convolution&Correlation.py | Convolution&Correlation.py | py | 2,090 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "skimage.data.text",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "skimage.data",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.gray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
19262987010 | import datetime
from random import randint
def random_with_N_digits(n):
range_start = 10**(n-1)
range_end = (10**n)-1
return str(randint(range_start, range_end))
def get_DateTime():
date = datetime.datetime.now()
year, month, day, hour, minute, second = str(date.year), '%02d'%date.month, \
... | chatnanibhavesh/Universal-Medical-Database | Python Files/hl7.py | hl7.py | py | 557 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "random.randint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
}
] |
25598329660 | import json
from sqlalchemy import DateTime, Column, ForeignKey, Integer, String, func, or_
from sqlalchemy.orm import relationship
from dlproxy.sql import Base, Url
from dlproxy.view import list_serialize, ilike_escape
class UrlAccess(Base):
__tablename__ = 'url_access'
id = Column(Integer, primary_key=Tru... | biolds/dlproxy | dlproxy/access.py | access.py | py | 1,644 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dlproxy.sql.Base",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.... |
7047863695 | from kafka import KafkaProducer
import time
import json
producer = KafkaProducer(bootstrap_servers='192.168.33.50:9092')
topic = 'test'
i = 0
while True:
i += 1
json_data = {
"msg": "my kafka {}".format(i),
"count": i,
"create_time": time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())... | zhexiao/mnet | deploy/test/kf_producer3.py | kf_producer3.py | py | 475 | python | en | code | 19 | github-code | 7 | [
{
"api_name": "kafka.KafkaProducer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"lin... |
28519962813 | #! /usr/bin/env python3
import pytest
import glob
import os
import sys
import subprocess
import re
import collections
# tests for typing AND evaluation
# change here to also include bad_def tests.
ALL_FILES = glob.glob('ex/*.mu')+glob.glob('ex-types/*.mu')
# our own test cases!
# +glob.glob('correx/*.mu')
# Path se... | BryanBoni/Compilation | TP03/Mu-evalntype/test_evaluator.py | test_evaluator.py | py | 2,484 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 2... |
13709578846 | #!/usr/bin/python3
import monkeytype
from trystatic import util
import sys
import argparse
import os
import re
import subprocess
from collections import defaultdict
sys.path.append("../")
# def remove_clone_archive(path, clone_path, is_fatal):
# """Remove temporary clone_archive git folder."""
# try:
# ... | insilications/trystatic-clr | src/trystatic/__main__.py | __main__.py | py | 5,666 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
18166569905 | from vizdoom import *
import numpy as np
import math
from gym.core import Env
from gym.spaces.discrete import Discrete
from gym.spaces.box import Box
from model.util import *
x_bank = [-320, -120, 120]
y_bank = [-320, -120, 120]
class NaviEnv(Env):
def __init__(self):
self.game = DoomGame()
self.g... | guotata1996/Doom-AI-Training | env/navienv.py | navienv.py | py | 4,275 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gym.core.Env",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gym.spaces.discrete.Discrete",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gym.spaces.box.Box",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.ui... |
43575731409 | from appium import webdriver
from appium.webdriver.extensions.android.nativekey import AndroidKey
desired_caps = {
'platformName': 'Android', # 被测手机是安卓
'platformVersion': '8', # 手机安卓版本
'deviceName': 'xxx', # 设备名，安卓手机可以随意填写
'appPackage': 'tv.danmaku.bili', # 启动APP Package名称
'appActivity': '.ui.splash.SplashAc... | gschen/sctu-ds-2020 | 1906101019-贾佳/interest/app.py | app.py | py | 1,477 | python | zh | code | 7 | github-code | 7 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.extensions.android.nativekey.AndroidKey.ENTER",
"line_number": 37,
"usage_type"... |
70072760544 | # =================================================================
#
# Work of the U.S. Department of Defense, Defense Digital Service.
# Released as open source under the MIT License. See LICENSE file.
#
# =================================================================
import json
import sys
from django.core.man... | deptofdefense/kanga | kanga/management/commands/add-groups.py | add-groups.py | py | 1,217 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "kanga.models.Group.objects.all",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "kanga.models.Group.objects",
"line_number": 33,
"usage_type": "att... |
36518077991 | try:
import importlib.resources as pkg_resources
except ImportError: # Fallback for Python < 3.7
import importlib_resources as pkg_resources
import yaml
from znoyder.utils import merge_dicts
with pkg_resources.open_text(__package__, 'config.yml') as file:
CONFIG = yaml.load(file, Loader=yaml.FullLoader... | RedHatCRE/znoyder | znoyder/config.py | config.py | py | 1,046 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "importlib_resources.open_text",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "importli... |
70397553823 | import numpy as np
from rllab.core.serializable import Serializable
from gym.envs.mujoco import mujoco_env
from gym.spaces import Box
from rllab.envs.base import Env
from rllab.misc.overrides import overrides
class MapConfig(Serializable):
def __init__(self, xs, ys, xres, yres):
Serializable.quick_init(... | justinjfu/inverse_rl | inverse_rl/envs/twod_mjc_env.py | twod_mjc_env.py | py | 3,397 | python | en | code | 243 | github-code | 7 | [
{
"api_name": "rllab.core.serializable.Serializable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rllab.core.serializable.Serializable.quick_init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rllab.core.serializable.Serializable",
"line_number": 13... |
11966924066 | import asyncio
import DiscordUtils
from discord.ext import commands
from discord.ext.commands import Cog
import config
from db.src import db_strings
from modules.leaderboard_helper import gen_leaderboard_embed, MAIN_LEADERBOARD_LIM, LEADERBOARD_SIZE
LEADERBOARD_UPDATE_TIME = (60 * 60) # 60 min, or 1 hour
class Le... | AdamW19/LaunchBot | cogs/leaderboard.py | leaderboard.py | py | 4,320 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "asyncio.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "db.src.db_strings.GET_SETTINGS",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_na... |
15276562882 | import keyboard
import time
def if_button_pressed():
possible_letter_choice = ['w', 'a', 's', 'd']
key = keyboard.get_hotkey_name()
if key in possible_letter_choice:
return key
else:
return False
def get_keyboard_letter():
letter = ''
key = if_button_pre... | KKandD/Roguelike | Test_code.py | Test_code.py | py | 667 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "keyboard.get_hotkey_name",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
}
] |
75155509663 | import torch
import torch.nn as nn
from models.network import Network
from src.utils import get_derivative
class DFC(Network):
def __init__(self, encoder, decoder, config) -> None:
super().__init__(encoder, decoder, name="DFC")
self._target_lr = config.target_lr
self._alpha_di = config.a... | s-de-haan/BioplausibleAutoEncoders | models/dfc.py | dfc.py | py | 4,324 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.network.Network",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.eye",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "torch.matmul",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_nu... |
18033151285 | import io
import json
import os
from dataclasses import dataclass
from typing import Union
import requests
from huggingface_hub import HfApi
from autotrain import logger
from autotrain.dataset import AutoTrainDataset, AutoTrainDreamboothDataset
from autotrain.trainers.clm.params import LLMTrainingParams
from autotrai... | huggingface/autotrain-advanced | src/autotrain/backend.py | backend.py | py | 15,424 | python | en | code | 2,291 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "autotrain.dataset.AutoTrainDataset",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.pat... |
26288548627 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Author',
fields=[
('id', models.AutoField(verbo... | pazell981/quoter | apps/view_quotes/migrations/0001_initial.py | 0001_initial.py | py | 1,335 | python | en | code | 0 | github-code | 7 | [
{
"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"
},
... |
17247639009 | import functools as _f
__all__ = [ 'area', 'bbox', 'bounding_box', 'centroid', 'holes', 'len',
'parts', 'perimeter', 'segments', 'vertices']
def get_attr(df, geom_col='geometry', inplace=False, attr=None):
outval = df[geom_col].apply(lambda x: x.__getattribute__(attr))
if inplace:
outcol ... | stiles/notebooks | lapd-crimes-arrests/notebook/lib/python3.7/site-packages/pysal/lib/cg/ops/_accessors.py | _accessors.py | py | 1,368 | python | en | code | 24 | github-code | 7 | [
{
"api_name": "functools.partial",
"line_number": 42,
"usage_type": "call"
}
] |
70352732063 | import cv2
import numpy as np
import glob
CHECKBOARD = (6,9)
criteria = (cv2.TermCriteria_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
object_points = []
image_points = []
# define 3d coordinate of chessboard points. chessboard is in center coordinate and camera moving around it
# we consider every square in chess... | saeed5959/computer_vision | camera_calibration/python_code/main.py | main.py | py | 1,391 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.TermCriteria_EPS",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_MAX_ITER",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "n... |
74116291744 | import logging as log
import time
import streamlit as st
from screens import display_upload_screen, display_download_screen
import json
import numpy as np
from common.utils import (
rabbit_connect_and_make_channel,
is_production,
pg_connect_and_make_cursor,
insert_into_sessions,
insert_into_schedul... | domcermak/neural_style_transfer | upload_app/__init__.py | __init__.py | py | 4,115 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.session_state",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "common.utils.rabbit_connect_and_make_channel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 23,
"usage_type": "att... |
19185076535 | from typing import List
# assume all rows are of equal length
# and feature scale each column to be in the range 0 - 1
def normalize_by_feature_scaling(dataset: List[List[float]]) -> None:
for col_num in range(len(dataset[0])):
column: List[float] = [row[col_num] for row in dataset]
maximum = max(... | rwang5688/ml_rwang5688 | cs/fsnn/normalization.py | normalization.py | py | 503 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
37910809296 | import requests
import time
import math
import pytz
import sys
import pandas as pd
import openpyxl
import json
import os
from datetime import datetime, timedelta
from dateutil.parser import parse as parseDate
from bs4 import BeautifulSoup
from .valid_filename import slugify
import email
from io import StringIO
class ... | rajesh-sec/insightappsec | lib/insightappsec.py | insightappsec.py | py | 19,346 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.request",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number... |
27765619619 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import threading
from googlecloudsdk.core import log
from googlecloudsdk.core.util import keyboard_interrupt
import six
class MashHandler(object):
"""MashHandler only invokes its base handler once.
On... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/cloudbuild/execution.py | execution.py | py | 2,960 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "threading.Lock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.core.util.keyboard_interrupt.HandleInterrupt",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.core.util.keyboard_interrupt",
"line_number": 35,
... |
9819949046 | import pandas
teploty = pandas.read_csv("temperature.csv")
import pytemperature
import matplotlib.pyplot as plt
# na stupně Celsia
teploty["AvgTemperatureC"] = pytemperature.f2c(teploty["AvgTemperature"])
mihelto = teploty[(teploty["City"] == "Miami Beach") | (teploty["City"] == "Helsinki") | (teploty["City"] == "Tok... | KristynaSodomkova/python-012021 | 7/ukoly7/ukol35.py | ukol35.py | py | 585 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pytemperature.f2c",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
41210487189 | # External imports
import datetime
import pytz
import time
# Internal imports
from soup import Soup, SoupParser
from game import GameState
from lines import LineGenerator
class Scraper:
# Key assumptions:
# 1) Games can't move backward in time.
# If we have a in-memory game object that is final a... | sbconlon/mlb-scraper | scraper.py | scraper.py | py | 15,025 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "game.start_time",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "game.GameState.new_game_id",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "game.GameState",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "game.G... |
27528138349 | import logging
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.contrib.auth import get_user_model
from .models import (AccountProjectModel, AccountModel, AccountPermissionsModel, AccountDevicesModel,
AccountParameterModel, AccountTagOPCMode... | bridgecrew-perf6/AgavaDeploying | agava/app/account/views.py | views.py | py | 12,050 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.AccountModel.users.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.AccountModel.users",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.AccountModel",
"line_number": 17,
"usage_type": "name"
},
{
"... |
23221685154 | from sklearn.datasets import load_iris
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn import metrics
import pickle
def train_model():
# import data
iris = load_iris()
# Split dataset into X and y
X = iris.data
... | GraphtyLove/API-SIMPLE-DEMO | training/train.py | train.py | py | 1,013 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
977867938 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from escpos import *
from fastapi.responses import JSONResponse
from typing import Optional
app = FastAPI()
origins = ['*']
p = printer.Serial("COM5")
app.add_middleware(
CORSMiddleware,
... | exyt-team/local-print | print-server.py | print-server.py | py | 1,550 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 21,
"usage_type": "name"
},
{
"api_... |
16091135379 | import numpy as np
from collections import defaultdict
from lib.ep_libutil import exec_timer, ep_rtcfg
from postproc.provider import DataProvider, pack
from lib.ep_libutil import combine_2_spec, combine_2_emis, combine_model_emis, combine_model_spec
import lib.ep_logging
log = lib.ep_logging.Logger(__name__)
class Em... | FUME-dev/fume | client/postproc/emissprovider.py | emissprovider.py | py | 26,406 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "lib.ep_libutil.ep_logging.Logger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lib.ep_libutil.ep_logging",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "lib.ep_libutil",
"line_number": 7,
"usage_type": "name"
},
{
"api_n... |
28534367905 | import configparser
from typing import Optional
from pathlib import Path
class GitRepository:
"""
A git repository
"""
worktree: Path = None
gitdir: Path = None
conf: configparser.ConfigParser = None
def __init__(self, path, force=False):
self.worktree: Path = path
self.g... | danthelion/gitx | lib/repo.py | repo.py | py | 3,631 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path... |
16797015443 | import time
import requests
import json
#第一步读取八行包内容
# 以下为固定内容
# POST /wisdomprovider/router? HTTP/1.1
# Content-Length: 373
# Host: wisdom.tskjxy.com.cn
# Connection: Keep-Alive
# Accept-Encoding: gzip
# content-type: application/x-www-form-urlencoded;charset=utf8
class Openua:
config = "123"
def __init__(self... | li-longana/qianghong | python/fs.py | fs.py | py | 2,716 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 43... |
46109722313 | from flask import Flask
from flask_login import LoginManager
from flask_sqlalchemy import SQLAlchemy
import MySQLdb
HOST = 'localhost'
USER = 'root'
PASSWORD = ''
DATABASE = 'ultimate_meal_planner'
app = Flask(__name__)
app.config['SECRET_KEY'] = 'THIS IS THE BEST KEY I EVER HAD'
#mysql = MySQLdb.connect(HOST, USER... | KIMARINELSON77109/database-project | app/__init__.py | __init__.py | py | 924 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 22,
"usage_type": "call"
}
] |
15926348664 | from flask import Flask, request
from flask_restful import Resource, Api, reqparse
from sqlalchemy import create_engine
from charm.toolbox.pairinggroup import PairingGroup,G1,G2, ZR
from flask_jsonpify import jsonify
from kryptlib.ElGamalImpl import ElGamal
from kryptlib.AGHOBlind import AGHOBlind
connectionA = create... | AndreaKap/AGHO_Blind_kryptlib | BackendVoteAPI.py | BackendVoteAPI.py | py | 17,268 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 11,
"usage_type": "call"
},
{
"api_nam... |
22941919628 |
import os,os.path
from PIL import Image
valid_images = [".jpg",".gif",".png",".tga"]
img_dir = input("Enter image folder path: ")
pdf_name = input("Enter pdf name: ")
pdf_path = os.path.join(img_dir,pdf_name+".pdf")
imagelist=[]
path=[]
i=0
for f in os.listdir(img_dir):
ext = os.path.splitext(f)[1]
... | Kuttralanathan-K/Image2Pdf | img2pdf.py | img2pdf.py | py | 1,263 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_numbe... |
72705605662 | from django.db import models
import uuid
from django.db.models.deletion import DO_NOTHING
from django.db.models.fields import DateTimeField, DecimalField
from users.models import User
from cloudinary.models import CloudinaryField
# Create your models here.
class Account_type(models.Model):
id = models.UUIDField(
... | yjrandom/Moolah-Matters | backend/account/models.py | models.py | py | 3,017 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.UUIDField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
21051191313 | import datetime
date_and_prod = {
str(datetime.date(2022, 12, 1)): 'banana apple bread',
str(datetime.date(2022, 12, 2)): 'milk snikers tea',
str(datetime.date(2022, 12, 3)): 'meat cheese actimel',
str(datetime.date(2022, 12, 4)): 'meat apple',
str(datetime.date(2022, 12, 5)): 'tea sugar',
... | maxim-shestakov/myProjects | Проект по программированию.py | Проект по программированию.py | py | 8,433 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "datetime.date",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_numb... |
23494066485 | import json
from multiprocessing import Pool
import requests
from . import celery
from .libs.db import get_db
from .libs.models import Model, Order, User
from .libs.utils import submit_data, submit_train_task, error_response
@celery.task
def infer_task(url, data_sql, model_params, attributes, unique_id, order_id):
... | tanzeyy/fate_demo | server/application/tasks.py | tasks.py | py | 5,414 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "libs.db.get_db",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "libs.models.Order",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "libs.models.Order.id",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.l... |
72437738463 | from datetime import datetime
import sys, os
from os import path
from services import helper
from services.batch_processor import BatchProcessor
from services.logging import get_logger
import pytz
logger = get_logger()
def extract_event(item):
return item.get('_source')
def execute_api_request(item):
# lo... | andersoncontreira/file-batch-processor-python | main.py | main.py | py | 2,979 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "services.logging.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "services.helper.datetime_format_for_lifecycle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "services.helper",
"line_number": 20,
"usage_type": "name"
},
... |
19881660016 | # Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
Dataset = pd.read_csv("lasvegas_tripadvisor.csv",header = 0)
# check if the dataset contains missing values
Dataset.isnull().any().any()
# see the statistics and columns description of dataset
Dat... | singh-utkarsh/tripAdvisorAnalysis | task-1.py | task-1.py | py | 6,265 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selectio... |
3132732729 | from decouple import Config, RepositoryEnv
from unittest import TestCase
from os.path import join, dirname
from users import UsersTests
API_URL: str = "http://localhost:8000"
class APITestCase(TestCase):
def setUp(self):
APITestCase._prepare_db()
self._users_tests = UsersTests(API_URL)
@sta... | avigailrosenfeld/videos_backend | tests/api_test.py | api_test.py | py | 656 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "users.UsersTests",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
6630418678 |
import pytesseract
from pytesseract import Output
import matplotlib.pyplot as plt
import cv2
img = cv2.imread('./images/100.jpg')
d = pytesseract.image_to_data(img, output_type=Output.DICT)
n_boxes = len(d['level'])
for i in range(n_boxes):
(x, y, w, h) = (d['left'][i], d['top'][i], d['width'][i], d['height'][i]... | niteesh2268/Text-Recognition | YOLO/lib.py | lib.py | py | 748 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytesseract.image_to_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytesseract.Output.DICT",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pytess... |
71570527903 | import itertools
from datetime import datetime
from flask import (
jsonify,
request,
current_app,
Blueprint
)
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm.exc import NoResultFound
from app.dao import notifications_dao
from app.dao.dao_utils import dao_rollback
from app.dao.api_key_dao... | govau/notify | api/app/service/rest.py | rest.py | py | 34,710 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "flask.Blueprint",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "app.errors.register_errors",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "flask.cur... |
70057163425 | #1. Use getGeocodeLocation to get the latitude and longitude coordinates of the location string.
#2. Use foursquare API to find a nearby restaurant with the latitude, longitude, and mealType strings.
#HINT: format for url will be something like https://api.foursquare.com/v2/venues/search?client_id=CLIENT_ID&client_se... | el-dani-cortes/coursera_projects | working_published_APIs/findARestaurant.py | findARestaurant.py | py | 3,838 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "geocode.getGeocodeLocation",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "requests... |
14432223139 | from __future__ import annotations
import typing
import plotly
import pandas as pd
# pylint: disable=wrong-import-position
if typing.TYPE_CHECKING:
import BaseOpts
import PlotUtilsPlotly
import Utils
import BaseDB
from BaseLog import log_error, log_info
from Plotting import plotmissionsingle
@plotmissionsin... | iop-apl-uw/basestation3 | Plotting/MissionIntSensors.py | MissionIntSensors.py | py | 5,408 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "BaseOpts.BaseOptions",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "BaseLog.log_info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "... |
72865686622 | from __future__ import division
from typing import Iterator, Optional
import torch
from torch.utils.data import Dataset
from torch.utils.data import DistributedSampler as _DistributedSampler
from mmseg.core.utils import sync_random_seed
from mmseg.utils import get_device
class DistributedSampler(_DistributedSampler... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/semantic_segmentation/MMseg-swin/mmseg/datasets/samplers/distributed_sampler.py | distributed_sampler.py | py | 2,927 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.utils.data.DistributedSampler",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
},
{
"api_... |
9617687943 | from flask import Flask, request
app = Flask(__name__)
@app.route('/')
@app.route('/hello')
def hello():
return "Hello"
if __name__ == "__main__":
service_name = 'hello'
service_port = 5000
consul_service = ConsulService()
consul_service.setup(service_name, service_port, request.host)
app.r... | milhcbt/microservice-training | demo08/hello/hello.py | hello.py | py | 370 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.host",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
}
] |
18907177926 | """
Jumbotron Calibration.
Figures out how the markers found by artoolkit map to the jumbotron screen.
"""
from __future__ import print_function
import logging
import math
import operator
from PIL import Image, ImageDraw
from PIL.ExifTags import TAGS
import artoolkit
from vectypes import Mat4, Vec3
# ---------------... | mitmedialab/Junkyard-Jumbotron | python/calibrate.py | calibrate.py | py | 12,062 | python | en | code | 200 | github-code | 7 | [
{
"api_name": "math.atan2",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "vectypes.Mat4.new_translate",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "vectypes.Mat4",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "vectypes.Mat4.ne... |
12231057863 | import os
from flask import Flask, request, redirect, render_template
from lib.database_connection import get_flask_database_connection
from lib.album_repository import AlbumRepository
from lib.album import Album
from lib.artist_repository import ArtistRepository
from lib.artist import Artist
# Create a new Flask app
a... | ilhaam-start/music_web_app_html | app.py | app.py | py | 3,046 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lib.database_connection.get_flask_database_connection",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lib.album_repository.AlbumRepository",
"line_number": 17,
"usage_type": ... |
71633617503 | from django.contrib.auth import login, logout
from django.contrib.auth.decorators import login_required
from django.core.exceptions import NON_FIELD_ERRORS
from django.http import HttpResponseRedirect, Http404
from django.shortcuts import render, redirect
from users.forms import RegistrationForm, LoginForm, SettingsFo... | Gliger13/auction_site | auction/users/views.py | views.py | py | 3,548 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "users.forms.RegistrationForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "users.forms.RegistrationForm",
"line_number": 16,
"usage_type": "call"
},
{
... |
24954079981 | from forex_python.converter import CurrencyRates
import requests
def convert_brl_btc(amount):
c = CurrencyRates()
bitcoin_api_url = 'https://api.coinbase.com/v2/prices/spot?currency=USD'
response = requests.get(bitcoin_api_url)
response_json = response.json()
usd_blr = c.get_rate('USD', 'BRL')
... | JoaoZati/django_devpro | base/bitcoin.py | bitcoin.py | py | 516 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "forex_python.converter.CurrencyRates",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
40246557964 | from odoo import models, fields, api
from odoo.exceptions import UserError
import logging
_logger = logging.getLogger(__name__)
class LinkPickingPurchase(models.TransientModel):
_name = 'link.picking.purchase'
def _default_picking(self):
return self.env['stock.picking'].browse(self._context.get('active_id'))
... | mesiboku/omni_gh | omni_goodheart_stock_po_link/wizard/link_picking_purchase_view.py | link_picking_purchase_view.py | py | 1,178 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "odoo.models.TransientModel",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.field... |
24331404305 | from pymongo import MongoClient
from pprint import pprint
from bson.json_util import loads
import json
import datetime
client = MongoClient()
db = client.pegasus
teachers = db.teachers
classes = db.classes
counters = db.counters
def create_teacher(name):
teacher_ID = counters.find_one().get("teachers") # Get mo... | JosephYusufov/Pegasus | backend/teacher.py | teacher.py | py | 2,048 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
}
] |
45920472598 | from os import path, getcwd, chdir, pardir, walk, mkdir, sep, listdir
from functools import reduce
import xml.dom.minidom as minidom
import json
import fnmatch
def findBlockId(xml_file, searchId):
"""Parsen der Database nach bestimmten Informationen"""
# Definition WorkingDirectory = Current Directory
wor... | syedemz/AdminShell2 | DATABASE_EXTERN/external_database_functions.py | external_database_functions.py | py | 9,842 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.parse",
"line_numb... |
42886192950 | from typing import List
class Solution:
def criticalConnections(self, n: int, connections: List[List[int]]) -> List[List[int]]:
graph = [[] for _ in range(n)]
low = [0 for _ in range(n)]
visited = [False for _ in range(n)]
for x, y in connections:
graph[x].append(y)
... | hyeonjun/AlgorithmTest | leetcode/1192_Critical_Connections_in_a_Network.py | 1192_Critical_Connections_in_a_Network.py | py | 838 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
15564371414 | import numpy as np
import cv2
import matplotlib.pyplot as plt
# Define a class to receive the characteristics of each line detection
class Line():
def __init__(self):
# was the line detected in the last iteration?
self.detected = False
# x values of the last n fits of the line
... | nachoSO/CarND-Advanced-Lane-Lines-master | line_finding.py | line_finding.py | py | 9,315 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 35,
... |
32075518731 | #!/usr/bin/env python3
# Start by getting signal metrics
import logging
import logging.handlers
import os
import platform
import sys
import tailer
from parse import *
from tmo_monitor.gateway.model import GatewayModel
from tmo_monitor.configuration import Configuration
from tmo_monitor.gateway.arcadyan import CubeContr... | highvolt-dev/tmo-monitor | bin/tmo-monitor.py | tmo-monitor.py | py | 7,858 | python | en | code | 85 | github-code | 7 | [
{
"api_name": "tmo_monitor.configuration.Configuration",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_... |
40416584705 | import cv2
import librosa
import numpy as np
from moviepy.video.io.VideoFileClip import VideoFileClip
from moviepy.editor import AudioFileClip
from PIL import Image
global_save_path = '.\\Frame\\'
def saveFrames(pathToVideo, frame_number, num_frames_to_save, save_path=global_save_path):
cap = cv2.VideoCaptu... | OLoloms/Working_with_video_file_frames | cut_download.py | cut_download.py | py | 2,392 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_POS_FRAMES",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "moviepy.video.io.VideoFileClip.VideoFileClip",
"line_number": 23,
"usage_type": "call"
},... |
3132678929 | from celery import Celery
import subprocess
celery_app = Celery('tasks', broker='redis://localhost:6379/0',
backend='redis://localhost:6379/0')
@celery_app.task
def take_thumbnail(video_input_path: str, img_output_path: str) -> None:
try:
proc = subprocess.Popen(['ffmpeg', '-i', video... | avigailrosenfeld/videos_backend | async_tasks/tasks.py | tasks.py | py | 848 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "celery.Celery",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "subprocess.CalledP... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.