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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
29524541479 | __author__ = 'Vas Vasiliadis <vas@uchicago.edu>'
import uuid
import time
import json
from datetime import datetime
from dateutil import tz
from dateutil import parser
import boto3
from boto3.dynamodb.conditions import Key
from botocore.client import Config
from botocore.exceptions import ClientError
from botocore.exc... | asriram1/Cloud-Computing-Capstone-Project | web/views.py | views.py | py | 18,585 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "boto3.client",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "gas.app.config",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "gas.app",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "botocore.client.Config",
... |
10578354955 | # - - coding:utf-8 - -
"""
# author: wktxzr
# Created Time : 20180503
# File Name: calculate_q_main.py
# Description:
计算IDF
"""
import os
import multiprocessing
CUR_PATH = os.path.split(os.path.realpath(__file__.split('/')[-1]))[0]
TOPICS = 'MB226 MB230 MB254 MB265 MB267 MB320 MB358 MB362 MB371 MB377 MB391 MB392 MB4... | wangkai0725/cluster_constraints | expand/calculate_q_main.py | calculate_q_main.py | py | 1,051 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_num... |
38230390184 | from MainControlLoop.lib.drivers.APRS import APRS
from MainControlLoop.lib.StateFieldRegistry import StateFieldRegistry, StateField, StateFieldRegistryLocker
from MainControlLoop.lib.modes import Mode
from MainControlLoop.tasks.APRS.actuate_task import APRSActuateTask, APRSCriticalMessage
from MainControlLoop.tasks.Dow... | TJREVERB/pfs | MainControlLoop/tasks/APRS/control_task.py | control_task.py | py | 5,068 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "MainControlLoop.lib.drivers.APRS.APRS",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "MainControl... |
74998040960 | # -*- coding: utf-8 -*-
import rdflib
import subprocess
import sys
import codecs
sys.stdout = codecs.getwriter("utf-8")(sys.stdout)
# On créé un graph RDF et on charge le contenu de la base de données Zotero
# dans ce graph
g = rdflib.Graph()
g.load('Zotero-AK.rdf')
# On déclare les espace de noms utilisés dans... | osp/osp.work.annak | Zotero-AK/extract_urls.py | extract_urls.py | py | 1,001 | python | fr | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdout",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "codecs.getwriter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rdflib.Graph",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
... |
14636774143 | """
Functions and classes for sampling the *showq* output.
"""
import remote
from script import Data_jobscript
from cfg import Cfg
from qstatx import Data_qstat
from sar import Data_sar
from titleline import title_line
import rules
from mycollections import OrderedDict,od_add_list_item,... | etijskens/job-monitoring | dashboard2/showq.py | showq.py | py | 49,018 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "remote.run",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "remote.xml_to_odict",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "remote.err_print",
"line_number": 161,
"usage_type": "call"
},
{
"api_name": "cfg.Cfg.correct... |
11695724553 | import itertools
from operator import truediv
import subprocess
import time
import timeit
from unittest.mock import patch
from Cython.Compiler.TreeFragment import *
from Cython.Compiler.Visitor import *
from Cython.Compiler.Main import *
from Cython.CodeWriter import *
from Cython.Compiler.AnalysedTreeTransforms import... | SOLAR-group/Py2Cy | algorithm/exhaustive.py | exhaustive.py | py | 2,434 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "algorithm.algorithm.Algorithm",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utilities.cython_tree.file_to_ast",
"line_number": 29,
"usage_type": "call"
},
{
"api_nam... |
9513932796 | import sqlite3
con =sqlite3.connect("sample.db")
cursor = con.cursor()
# User名を指定して、Aeg （年齢）を更新するprogram
# ユーザーに何をしてもらいたいか？
target_name = input("whose 'age' do you want to update?")
new_age = input("Tell me new age:")
print(target_name, new_age)
# SQL 文を作成
# 文字列を使って SQL を作成するという事は脆弱性があるので注意する
# SQL ingection という攻撃... | MoTo-LaBo/Python-Guideline | database/update.py | update.py | py | 1,033 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
1685830967 | import os
from setuptools import setup
DESC = "Some decorators and classes to make working with django projects easier."
try:
with open('readme.rst') as file:
long_description = file.read()
except IOError:
long_description = DESC
setup(
name = "django-drapes",
version = "0.1.2",
author = ... | afroisalreadyinu/django-drapes | setup.py | setup.py | py | 737 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
}
] |
6554704067 | from django.urls import path
from django.contrib.auth.decorators import login_required
from apps.citas.views import *
urlpatterns =[
path('listar_tipo_mascota/',login_required(TipoMascotaListView.as_view()), name='listar_tipo_mascota'),
path('tipo_mascota/',login_required(TipoMascotaView.as_view()), name='tipo_... | Vitonel0404/project-veterinaria-usat | apps/citas/urls.py | urls.py | py | 2,536 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_... |
5097197505 | from django.db.models import Avg, Count
from django.shortcuts import get_object_or_404
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import permissions
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.viewsets import ModelViewSet
from reviews.models im... | HopedForLuck/api_yamdb | api_yamdb/api/v1/views.py | views.py | py | 3,146 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mixins.CreateListDestroyViewSet",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "reviews.models.Category.objects.all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "reviews.models.Category.objects",
"line_number": 22,
"usage_type": "a... |
71157618560 | #
# This project describes the detection of varroas using opencv's
# Simple Blob Detector with some arbitrary but seemingly working parameters
#
# version originale de Vincent SAHLER : https://gist.github.com/vsahler/9686d9b12d63bb1f1481aa957bd1933e
#
# documentation : https://learnopencv.com/blob-detection-usin... | Barrois/Comptage-de-Varroas | ComptageVarroas_Blob_Fabrice_9.py | ComptageVarroas_Blob_Fabrice_9.py | py | 8,680 | python | fr | code | 1 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "cv2.SimpleBlobDetector_Params",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "cv2.SimpleBlobDetector_create",
"line_number": 99,
"usage_type": "call"
},
{
"api_name":... |
31438680927 | import time
from datetime import timedelta, datetime
from unittest import skip
from decimal import Decimal
from django.conf import settings
from django.utils import timezone
from django.core.exceptions import ValidationError
from core.tests.base import OrderBaseTestCase
from core.tests.utils import data_provider, ena... | hossamelneily/nexchange | orders/tests/test_models.py | test_models.py | py | 56,935 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "core.tests.base.OrderBaseTestCase",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "orders.models.Order.TYPES",
"line_number": 51,
"usage_type": "attribute"
},
{
"... |
370318750 | import json
import time
import os
import sys
from tabulate import tabulate
import add_question as aq
aq.top_list()#tworzy globalną listę tematów
class AskModule:
def __init__(self, name):
self.name = name
self.score = 0
print("\nWitam {}!\n\nWybierz dziedzinę pytań:".format(name))
... | DJBio/Python_UJ_III_semestr | PyQu/ask_module.py | ask_module.py | py | 3,758 | python | pl | code | 0 | github-code | 97 | [
{
"api_name": "add_question.top_list",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.load",
"li... |
25975379694 | #!/usr/bin/env python3
"""
Why shell=True can be dangerous
echo '%an\' > /tmp/wuzhere #'
"""
import argparse
import subprocess
import sys
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("-u", "--unsafe", action="store_true")
args = parser.parse_args()
# get desi... | nicktimko/talks-throw-out-your-shell-scripts | examples/shellinjection/shellinjection.py | shellinjection.py | py | 691 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.exit",
... |
26327753554 | from typing import Dict
from string import Template
from enum import Enum
from g_code_parsing.g_code_functionality_defs.g_code_functionality_def_base import (
GCodeFunctionalityDefBase,
)
class SetTempGCodeFunctionalityDef(GCodeFunctionalityDefBase):
# Using this list to output string in specific order
EX... | Opentrons/opentrons | g-code-testing/g_code_parsing/g_code_functionality_defs/tempdeck/set_temp_g_code_functionality_def.py | set_temp_g_code_functionality_def.py | py | 1,075 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "g_code_parsing.g_code_functionality_defs.g_code_functionality_def_base.GCodeFunctionalityDefBase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 20,
... |
71088547840 | import math
import numpy as np
from scipy import optimize
from scipy import special
import tensorflow_privacy as tfp
RDP_ORDERS = tuple(map(float, range(2, 21)))
RDP_ORDERS += (22., 24., 28., 32., 64., 128., 256.)
DIV_EPSILON = 1e-22
def log_comb(n, k):
gammaln = special.gammaln
return gammaln(n + 1) - gammaln(... | luke-who/Federated-Learning-Project | federated/distributed_discrete_gaussian/accounting_utils.py | accounting_utils.py | py | 11,848 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "scipy.special.gammaln",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "scipy.special",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scipy.special.comb",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "scipy.spe... |
32769808629 | import speech_recognition as sr
#use the microphone as source for input. Here, we also specify
#which device ID to specifically look for incase the microphone
#is not working, an error will pop up saying "device_id undefined"
sample_rate = 48000
chunk_size = 2048
#Initialize the recognizer
r = sr.Recognizer()
... | nichowes/IoT_SmartBabyMonitoring | RaspberryPi_Code/SYSC4907/Iot_SmartBaby_MonitoringSystem/Python/SpeechRecognition/testSpeechRecognition.py | testSpeechRecognition.py | py | 1,187 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 29,
"usage_type": "attr... |
71540891200 | import os
from datetime import datetime, timedelta
import pandas as pd
import streamlit as st
from streamlit.elements.widgets.time_widgets import DateWidgetReturn
from req.param import ReqParam
from utils.gh import (
get_commit_author_weekly_num,
get_commit_weekly_num,
get_issues_weekly_num,
)
from utils.... | zhongjiajie/ossinsight-lite | streamlit_app.py | streamlit_app.py | py | 3,263 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.ti... |
30395294488 | from django.conf.urls import patterns, url
# sighting specific url patterns
urlpatterns = patterns('bushlog.apps.sighting.views',
url(r'^search/$', 'search', name='search'),
url(r'^create/$', 'create', name='create'),
url(r'^create/image/$', 'create_image', name='create_image'),
url(r'^forms/(?P<type>... | mnbundle/bushlog | bushlog/apps/sighting/urls.py | urls.py | py | 718 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "djan... |
21269894507 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from statsmodels.stats.multitest import multipletests
from matplotlib.patches import Rectangle
from matplotlib.colors import ListedColormap
from matplotlib.colors import BoundaryNorm
from get_dfs import get_metabs, get_md
from... | korem-lab/PTB_Metabs_2021 | preprint/fig_2AD.py | fig_2AD.py | py | 4,401 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.sign",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.log10",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "seaborn.set_context",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
... |
12715976987 | """ Copyright 2012, August 05
Written by Pattarapol (Cheer) Iamngamsup
E-mail: IAM.PATTARAPOL@GMAIL.COM
Counting Sundays
Problem 19
You are given the following information,
but you may prefer to do some research for yourself.
1 Jan 1900 was a Monday.
Thirty days has September, April, June and N... | pattarapol-iamngamsup/projecteuler_python | problem_019.py | problem_019.py | py | 1,852 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "dat... |
2585321284 | # This file contains utility-type of functions to assist with the creation
# of a histogram graph, e.g., for preparing
# the input data before plotting them as a histogram.
from typing import List
import pandas as pd
from .constants import COL_NAME_BUCKETS, COL_NAME_FREQS, PRECISION_VAL
def create_df_w_lats_ranges... | datastax/fallout | tools/artifact-checkers/histo-freq/src/histo_freq/utils.py | utils.py | py | 1,396 | python | en | code | 51 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "constants.PRECISION_VAL",
"line_number": 35,
"usage_type": "argument"
},
{
"api_name": "constants.PRECISION_VAL",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "p... |
23920911060 | import discord,asyncio,DiscordUtils
from discord.ext import commands, tasks
from discord.ext.commands import *
from discord_components import *
music = DiscordUtils.Music()
class Music(Cog):
def __init__(self,bot):
self.bot = bot
@command(aliases=["j",])
async def join(self,ctx):
... | Legion04/discord-bot-0 | cogs/Music.py | Music.py | py | 9,333 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "DiscordUtils.Music",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "discord.Color.random",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "discord.Color"... |
2875744481 | import layers
import cv2
import numpy as np
import utils
from PIL import Image
import computationalgraph
def load_images(filenames, IMG_SIZE=50):
images = []
for filename in filenames:
#X shape is [WIDTH, HEIGHT, CHANNELS]
X = cv2.imread(filename)
#Resize X to [IMG_SIZE,... | ramacastro/AlexNet-CNN-from-scratch-using-computational-graphs-only-NumPy | layers_test.py | layers_test.py | py | 2,359 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28... |
74690922559 | # -*- coding: utf-8 -*-
from twisted.internet.protocol import DatagramProtocol
from c2w.main.lossy_transport import LossyTransport
import c2w.main.constants as c2w_constants
import c2w.protocol.constants as constants
from twisted.internet import reactor
from c2w.protocol.message import Message
from c2w.protocol.format_... | ldesuque/c2w-protocol | c2w/protocol/udp_chat_client.py | udp_chat_client.py | py | 10,150 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "twisted.internet.protocol.DatagramProtocol",
"line_number": 15,
"usage_type": "name"
},
{
"... |
28042687730 | import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
train = pd.read_csv("training.csv")
train = train.drop(['url'], axis=1)
x_train = train.iloc[:, 0:-1]
y_train = train.iloc[:, -1]
clf = RandomForestClassifier(n_e... | rahulvarma5297/semester5 | DM/ASSIGN2/assign2.py | assign2.py | py | 843 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name":... |
11113613851 | import re
from django.utils.text import compress_string
from django.utils.cache import patch_vary_headers
from django import http
try:
import levelhub.settings as settings
XS_SHARING_ALLOWED_ORIGINS = settings.XS_SHARING_ALLOWED_ORIGINS
XS_SHARING_ALLOWED_METHODS = settings.XS_SHARING_ALLOWED_METHODS
ex... | ywangd/levelhub_server | wsgi/levelhub/middleware/crossdomainxhr.py | crossdomainxhr.py | py | 2,557 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "levelhub.settings.XS_SHARING_ALLOWED_ORIGINS",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "levelhub.settings",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "levelhub.settings.XS_SHARING_ALLOWED_METHODS",
"line_number": 12,
"us... |
38130354510 | import httphelper
import requests
import quandl, pandas as pd
quandl_partialurl = 'https://www.quandl.com/api/v3/datasets/WIKI/{}/data.json?start_date={}&api_key={}'
quandl_fullurl = 'https://www.quandl.com/api/v3/datasets/WIKI/{}/data.json?&api_key={}'
def load_historicdata(symbol):
url = quandl_fullurl.format(s... | w0lv3r1nix/Market-Research | market-data/quandlwrap/httpwrap.py | httpwrap.py | py | 955 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "quandl.ApiConfig",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "quandl.ApiConfig",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "httphelper.get_httprequest",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
6082361638 | from flask import Blueprint, request, current_app
from libs.awsservice import *
from libs.awsclient import awsTempToken
from libs.awss3service import *
from libs.awssupport import awssupport
from libs.defResponse import success, nonauthorization
from models.Company import CompanyControl
from models.AwsTokenRecord impor... | Joker-Cch/erp-cn | views/Report.py | Report.py | py | 7,848 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "flask.request.j... |
6115994740 | ''' This is used to plot the results from the pitch detector.
To change which sound file you're looking at, modify the 'testing' variable.
To change which note you're looking at, modify the 'ii' variable.
To change if you're looking at a single note or the entire melody,
modify the 'sung_note' variable, and 'times... | asdfang/HarmonizeMeOldFiles | python_tests/onepitch.py | onepitch.py | py | 6,215 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 120,
"usage_type": "name"
},
{
"api_name": "matplotlib.patches.Patch",
"line_number": 121,
"usage_type": "call"
},
{
"api_name... |
6918927381 | from django.shortcuts import render, redirect, get_object_or_404
from django.views import View
from .cart_module import Cart
from .models import Order, OrderItem, DiscountCode
from product.models import Product
class CartDetailView(View):
def get(self, request):
cart = Cart(request)
return rende... | Max-shiri-90/E-commerce | online-shop/order/views.py | views.py | py | 2,182 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cart_module.Cart",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.view... |
71261582079 | # Jane Street: June 2020
# Twenty Four Seven
# The grid is incomplete. Place numbers in some of the empty cells below so that in total the grid
# contains one 1, two 2’s, etc., up to seven 7’s. Furthermore, each row and column must contain
# exactly 4 numbers which sum to 20. Finally, the numbered cells must form a ... | AnandakrishnanV/Solving-Puzzles-with-Z3 | twenty_four_seven_simple.py | twenty_four_seven_simple.py | py | 2,701 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "constraints.findNNs",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "constraints.sum_of_rows",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "constraints.count_in_each_r_and_c",
"line_number": 35,
"usage_type": "call"
},
{
"api... |
37746313923 |
import tensorflow as tf
import kerastuner as kt
import os
import cv2
import random
import time
import numpy as np
import pickle
import h5py
import keras
from sklearn.model_selection import train_test_split
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Activation, Fla... | Furknn/Bitirme-Tezi-Backend | HyperParameterTuner.py | HyperParameterTuner.py | py | 4,501 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": ... |
4187740873 | #!/usr/bin/env python
"""
# License: GNU Affero General Public License v3 or later
# A copy of GNU AGPL v3 should have been included in this software package in LICENSE.txt.
File containing definition of the NCBI class and containing functions useful for handling NCBI taxonomy databases
"""
import gzip
import loggin... | KwanLab/Autometa | autometa/taxonomy/ncbi.py | ncbi.py | py | 18,892 | python | en | code | 34 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "autometa.config.utilities.DEFAULT_CONFIG.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "autometa.config.utilities.DEFAULT_CONFIG",
"line_number": 31,
"usage_type"... |
73705207360 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
file_path_csv = '../data/data.csv'
data = pd.read_csv(file_path_csv)
data.head()
# Devices Used
plt.figure(figsize=(10, 6))
sns.countplot(x='DEVICE_TYPE_W63', data=data)
plt.title('Distribution of Devices Used')
plt.ylabel('Count')
plt.xlabel(... | kyle1373/ECE143-group-4 | visualizations/app.py | app.py | py | 1,222 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "seaborn.cou... |
32232865799 | from django.core.validators import MinValueValidator, MaxValueValidator
from django.db import models
class Task(models.Model):
text = models.CharField(max_length=160)
deadline = models.DateField()
progress = models.IntegerField(
default=0,
validators=[
MinValueValidator(0),
... | lysnikolaou/django-todo | skasys_ha/todo/models.py | models.py | py | 368 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
2715342387 | import sys,argparse,codecs
from tfner.configfromfile import ModelConfig
from tfner.core import build_model
#----------------------------------------------------------------------
# main function
def main(argv):
# parse command-line arguments
parser=argparse.ArgumentParser(description="build a NN model for... | aymara/lima-tfner | build_model.py | build_model.py | py | 721 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tfner.configfromfile.ModelConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tfner.core.build_model",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
17537043409 | import cv2
def collage(imag):
vi=cv2.VideoCapture("C:\\Users\\anand\\Videos\\cheeta.mp4")
fps=int(vi.get(cv2.CAP_PROP_FPS))
w=int(vi.get(cv2.CAP_PROP_FRAME_WIDTH))
h=int(vi.get(cv2.CAP_PROP_FRAME_HEIGHT))
op=cv2.VideoWriter("C:\\Users\\anand\\Videos\\cheeta.avi",cv2.VideoWriter_fourcc('X','V','I','D... | G3learns/python | image4.py | image4.py | py | 877 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FPS",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2... |
38569911232 | # Problem 24
# ==========
#
#
# A permutation is an ordered arrangement of objects. For example, 3124 is
# one possible permutation of the digits 1, 2, 3 and 4. If all of the
# permutations are listed numerically or alphabetically, we call it
# lexicographic order. The lexicographic permutations of 0, 1 and... | ximocoder/CodeExercises | Project Euler/Python/Exercise24.py | Exercise24.py | py | 794 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.permutations",
"line_number": 16,
"usage_type": "call"
}
] |
2870068576 | from flask import Flask, render_template, request
from main import get_candlestick_data, save_to_csv, get_market_caps
import plotly.express as px
import pandas as pd
import plotly.graph_objects as go
app = Flask(__name__)
SYMBOLS = [
"ADAUSDT",
"DOGEUSDT",
"TRXUSDT",
"MATICUSDT",
"SOLUSDT",
... | WDemidenko/Algo-Zeus-test_task | app.py | app.py | py | 1,580 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
25254139616 | from http.client import responses
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from scipy.stats import chi2_contingency
from sklearn.preprocessing import LabelEncoder
import matplotlib as plt
import seaborn as sns
url="http://data.insideairbnb.com/singapore/sg/singapore/202... | farima-trb/Data-Mining-Course-Project | datamining-uni/4/Untitled-1 copy.py | Untitled-1 copy.py | py | 4,444 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pandas.crosstab",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": ... |
73832841920 | import imutils
import shutil
import numpy as np
import copy
import glob
import cv2
import os
import re
PIC_NAMES = [
#'alien',
'alienmonster',
#'avocado',
'beamingfacewithsmilingeyes',
#'baguettebread',
'butterfly',
'banana',
'babychick',
'balloon',
'books',
'bird',
#'... | GrzegorzKrug/zoom-your-picture | modules/get_preview_images.py | get_preview_images.py | py | 2,872 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
21806439249 | import json
from urllib.parse import urlparse
from stark.codecs import BaseCodec
from stark.codecs.jsonschema import JSONSchemaEncoder
from stark.schema import (
SchemaDefinitions,
JSONSchema,
String,
Choice,
Object,
Any,
Reference,
Array,
Boolean,
is_schema
)
from stark.compat i... | aachurin/stark | stark/codecs/openapi.py | openapi.py | py | 13,923 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "stark.schema.Object",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "stark.schema.String",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "stark.schema.Object",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "stark.sch... |
40871063654 | # author : Arief Anbiya (anbarief@live.com)
# Algorithm for the visualization
import numpy
sqrt = numpy.sqrt
cos = numpy.cos
sin = numpy.sin
pi = numpy.pi
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
from matplotlib import colors as mplcolors
from statistweepy import utils
from statistweepy im... | anbarief/statistweepy | statistweepy/viz.py | viz.py | py | 13,709 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "numpy.sqrt",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_numbe... |
37046300650 | from sklearn.metrics import precision_recall_fscore_support
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import numpy as np
import itertools
#file path predicted labels
file_path_pred = '/home/... | kenellysra/emotiondetection | src/python/evaluationml.py | evaluationml.py | py | 3,790 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sklearn.metrics.precision_recall_fscore_support",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.classification_report",
"line_number": 62,
... |
13067624468 | from scapy.all import *
from scapy.contrib.pnio_rpc import *
from scapy.contrib.dce_rpc import *
from scapy.contrib.pnio import *
import crcmod
from helper.gsdml_parser import XMLDevice
load_contrib("pnio")
load_contrib("pnio_rpc")
load_contrib("dce_rpc")
class PNIOPSMessage:
def __init__(self) -> None:
... | seb711/profisafe | helper/view_pnsafe_data.py | view_pnsafe_data.py | py | 5,983 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "crcmod.mkCrcFun",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "helper.gsdml_parser.XMLDevice",
"line_number": 131,
"usage_type": "call"
}
] |
32491038551 | import pymongo
from app import app
from flask import request, jsonify, render_template, redirect, url_for, flash
import sys
from app.database import tasks_collection, redis_conn
from rq import Queue
from bson import ObjectId
from datetime import datetime
from app.worker import clean_data, transform_data, analyz... | Eskabore/distributed_task_queue | app/tasks.py | tasks.py | py | 10,110 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rq.Queue",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.database.redis_conn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rq.Queue",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.database.redis_conn",
... |
6200301952 | import asyncio
from services import file_manager
from services import rcon_manager
from services import permission_manager
from services import db_access
from datetime import datetime, timedelta
config = file_manager.load_config()
def main_check():
for x in config["servers"]:
tribe_list = rcon_manager.... | visualies/tribe_ranks | main.py | main.py | py | 5,771 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "services.file_manager.load_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "services.file_manager",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "services.rcon_manager.player_tribe_check",
"line_number": 15,
"usage_type": "call"
... |
5601295523 | def findancestors(thing):
''' specify and object (thing) to traceback,
returns G wich is an AGraph object
to plot:
G.draw('<filename>.svg/jpg/tiff/pdf', prog = 'dot')
'''
import pygraphviz as pgv
mro = thing.__mro__
base_relations = {}
base_relations_literal = {}
for i in mro:
base_relations[i] = i.__bas... | Bionetbook/bionetbook | bnbapp/sandbox/findancestors.py | findancestors.py | py | 725 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygraphviz.AGraph",
"line_number": 18,
"usage_type": "call"
}
] |
23206438990 | import time
import random
import pygame
import sys
import os
import json
import gym
import numpy as np
from stable_baselines3 import A2C, PPO, DQN
from pygame_ped_env.entities.maskedDQN import MaskableDQN
from sb3_contrib.ppo_mask import MaskablePPO
from pygame.sprite import Sprite, Group, GroupSingle
from typing im... | Rik-Fox/pygame_ped_env | pygame_ped_env/envs/env1.py | env1.py | py | 31,061 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "gym.Env",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line... |
6560624836 | import cv2
import numpy as np
import pandas as pd
from tensorflow import keras
model = keras.models.load_model('MNIST_AmericanSignLanguage.h5')
cap = cv2.VideoCapture(0)
while True:
ret, photo = cap.read()
photo = cv2.cvtColor(photo, cv2.COLOR_BGR2GRAY)
# photo = cv2.flip(photo,1)
photo = cv2.rec... | This-is-NB/ISL_Recognition | temp.py | temp.py | py | 834 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 5,
"usage_type": "name"
},
{
"api... |
22986859633 | from django.shortcuts import render, redirect
from django.contrib import messages
from django.http import HttpResponse
from subtitlingAI.forms import VideoFileForm
from subtitlingAI.models import VideoFile
from subtitlingAI.data_process.transcription import main
import shutil, os
def clean_database():
n = VideoFil... | margotbtn/subtitling-app | subtitlingAI/views.py | views.py | py | 1,536 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "subtitlingAI.models.VideoFile.objects.count",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "subtitlingAI.models.VideoFile.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "subtitlingAI.models.VideoFile",
"line_number": 10,
... |
8821260453 | import json
import pytest
from anno.crud import CRUD
from anno.errors import InvalidInputWebAnnotationError
from anno.json_models import AnnoJS
from anno.json_models import Catcha
from .conftest import make_wa_object
@pytest.mark.skip('debugging fixture')
@pytest.mark.usefixtures('wa_list')
def test_fixture_wa_list... | nmaekawa/catchpy | anno/tests/test_annojs.py | test_annojs.py | py | 1,850 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark.skip",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.usefixtures"... |
70695665919 | from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from sqlalchemy.sql import text
from sqlalchemy.orm import Session
from models import games as games_model
from models import users as users_model
from schemas import games as games_schema
def read_boxes(db: Session):
BoxList = db.q... | HackathonWinterAteam/LearningKaruta | app/cruds/games.py | games.py | py | 4,459 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.games.boxes",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.games",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy... |
30449707841 | import argparse
import os
import sys
import time
import mmap
import signal
from os import fork
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--file',
help='Path del archivo')
args = parser.parse_args()
mapp(args)
def store_up(segment, cpid, args):... | Agustinm28/Computacion_2 | Signals y mmap/mmap_sig.py | mmap_sig.py | py | 1,565 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.getpid",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"lin... |
10641260653 | from turtle import Turtle, Screen
import random
import colorgram
import re
turtle = Turtle()
turtle.shape("turtle")
turtle.color("DarkOrchid1")
def draw_square():
"""draw a square"""
turtle.forward(100)
turtle.right(90)
turtle.forward(100)
turtle.right(90)
turtle.forward(100)
turtle.right... | hank8906/Python_100Days_intermediate | intermediate/Day18/main.py | main.py | py | 3,063 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "turtle.Turtle",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "turtle.shape",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "turtle.color",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "turtle.forward",
"line_numbe... |
41311201504 | import json
from datetime import datetime, date
from flask import Blueprint, request
from flask import current_app as app
from db.wikishield_connection import DBConnection as WS
from db.wikishield_db import WikishieldDB
from lang.langs import Lang, LangsManager
from db.connection_info import read_sql_user_name
from c... | MatanelAbayof/Wikishield | routes/api.py | api.py | py | 7,043 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_n... |
35331665067 | from typing import Any, Dict, List, Tuple
from itertools import product
import numpy as np
DataSpec = Tuple[str, Dict[str, Any]]
def hmm_dataset(non_null_mean_min: int,
non_null_mean_max: int,
trans_min: float = 0.1,
trans_max: float = 1,
trans_step: f... | neilzxu/suplord | src/exp/datasets.py | datasets.py | py | 2,285 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Tuple",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number... |
42212343429 | import json
import random
import requests
from discord.ext.commands import Bot, BucketType, Cog, Context, command, cooldown
from .utils.logs import *
class RandomAPI:
def __init__(self, api_key: str) -> None:
self.api_key = api_key
self.cache = []
self.d1k = []
self.cache_size = ... | mtsev/senko | cogs/dice.py | dice.py | py | 3,987 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "requests.post",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
... |
2827485846 | #!/usr/bin/env python
import os
import sys
import argparse
import wikimap
from itertools import imap
class GridSearch(object):
"""
This class iterates through different combinations of parameters.
For each argument a value or a list of values is given. At each step of the
iteration one value from ea... | pderkowski/wikimap | run.py | run.py | py | 10,027 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "itertools.imap",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 64,
"usage_type": "attribute"
},
{
... |
73781960637 |
"""
Swithing between color spaces - systems of representing colors
RGB, Grayscale, HSV, LAB
"""
import cv2 as cv
from matplotlib import pyplot as plt
img_path='snip.jpg'
img = cv.imread(img_path)
# BGR (Blue Green Red) to Grayscale
# Grayscale shows you the distribution of intensities in an image
gray = cv.cvtColor... | themichaelmort/Soccer_video_tracking | color_spaces.py | color_spaces.py | py | 823 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"l... |
35226585632 | import cv2
import numpy as np
pathBGD = 'Resources/Background.png'
pathA = 'Resources/Typa_A.png'
pathB = 'Resources/Typa_B.png'
pathC = 'Resources/Typa_C.png'
pathD = 'Resources/Typa_D.png'
pathTest = 'Resources/Ahw0145.png'
imgTest = cv2.imread(pathTest)
imgBGD = cv2.imread(pathBGD)
imgCopy = imgTest.copy()
maskA =... | ck0121/Flag-Classification | sobel detection/Mask_1.py | Mask_1.py | py | 1,782 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 15,
... |
33665914846 | import openpyxl
from find_code import *
from converter import converter
def main():
try:
# Если файл имеет расширения не .xlsx, то сохраняю его в этот формат.
converter()
except:
# Иначе пропустить.
pass
create_document()
def create_document():
upd = openpyxl.open('upd... | cka304huk-m/Public | tdm/read_upd.py | read_upd.py | py | 2,070 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "converter.converter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "openpyxl.open",
"line_number": 16,
"usage_type": "call"
}
] |
36369746859 | from flask_redis import FlaskRedis
from ..utils.eventlet import eventlet
from flask_socketio import emit
import time
redis_store = FlaskRedis()
def redisReader():
pubsub = redis_store.pubsub()
pubsub.subscribe('msg')
print ('Starting Redis subscriber')
for msg in pubsub.listen():
#print ('>>>>>', msg)
print('R... | vladimirmyshkovski/tetrafoil | application/utils/redis.py | redis.py | py | 590 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "flask_redis.FlaskRedis",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "utils.eventlet.eventlet.GreenPool",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.eventlet.eventlet",
"line_number": 21,
"usage_type": "name"
}
] |
158344106 | from flask import render_template, redirect, request, session
from flask_app import app
from flask_app.config.mysqlconnection import connectToMySQL
from flask_app.models.users_model import User
from flask_app.models.recipes_model import Recipe
@app.route('/new/recipe') # to show the create recipe page
def new():
... | beccamargolis/recipe_hub | flask_app/controllers/recipes_controller.py | recipes_controller.py | py | 2,657 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.session",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
22199512728 | from json import load
from itsdangerous import exc
import VideoPage
from PyQt5 import QtWidgets
import data
import loadingPage
import pafy
import videoLoading
import urllib.request
from PyQt5.QtGui import *
class PlayList:
def __init__(self,Ui,con):
self.ui=Ui
self.con=con # 굳이 매개변수로 할필요 없었다
... | manNomi/testNeflix | playListPage.py | playListPage.py | py | 11,982 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "loadingPage.Loading",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "videoLoading.LoadingVideo",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "VideoPage.Video",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "data.Da... |
34733266444 | from zope import component
from Acquisition import aq_inner
from AccessControl import ClassSecurityInfo
from Products.CMFCore.permissions import View
from Products.CMFCore.utils import getToolByName
from Products.Five.browser import BrowserView
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
... | Raptus/raptus.article.mapsjunaio | raptus/article/mapsjunaio/xml/junaio.py | junaio.py | py | 2,847 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "Products.Five.browser.BrowserView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "Products.Five.browser.pagetemplatefile.ViewPageTemplateFile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Products.CMFCore.utils.getToolByName",
"line_nu... |
44375412738 | from sys import argv
from os.path import abspath
from os import getenv
import json
import codecs
type_ = argv[1]
alias, code_dir = argv[2:4]
home = '/home/'+getenv("SUDO_USER")
if type_ == "file":
code_lit = ""
with open(abspath(code_dir),'r') as codeF:
line = codeF.readline()
while line:
code_lit += line
... | TheKillerAboy/Ubuntu-Extensions | SHDev/SHDev/install.py | install.py | py | 764 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
... |
36610539481 | # Util classes from utils file
from utils import Stack
from utils import Queue
# This BFS will take the player back to the nearest room that has an unexplored exit
def uncharted_path(currentPath, room_id, player):
# Create an empty set to store visited nodes
visited = set()
# Create an empty Queue and enqu... | AAsriyan/Sprint-Challenge--Graphs | graph_adventure/helpers.py | helpers.py | py | 2,219 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "utils.Queue",
"line_number": 10,
"usage_type": "call"
}
] |
13825150072 | from django.urls import path
from . import views
# start with blog
urlpatterns = [
# http://localhost:8000/oas/
path('', views.article_list, name='article_list'),
path('<int:article_pk>', views.article_detail, name="article_detail"),
path('type/<int:err_type_pk>', views.article_with_type, name="article... | lightlogic5/fault_sys | oa/urls.py | urls.py | py | 427 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
73020642560 | # #!/usr/bin/env python
from selenium import webdriver
from selenium.webdriver.chrome.options import Options as ChromeOptions
class SwagLab:
# Start the browser and login with standard_user
options = ChromeOptions()
options.add_argument("--no-sandbox")
options.add_argument('--headless')
option... | ub-wroteIt/azure-devops-demo | automatedtesting/selenium/login.py | login.py | py | 2,872 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
}
] |
7259529794 | import timeit;
program_start_time = timeit.default_timer()
import random
random.seed(int(timeit.default_timer()))
from general_tools import *
import logging
import formatting, preprocessWavs
logger = logging.getLogger('PrepTCDTIMIT')
logger.setLevel(logging.DEBUG)
FORMAT = '[$BOLD%(filename)s$RESET:%(lineno)d][%(l... | matthijsvk/multimodalSR | code/audioSR/dataToPkl_testSet.py | dataToPkl_testSet.py | py | 5,012 | python | en | code | 56 | github-code | 97 | [
{
"api_name": "timeit.default_timer",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "timeit.default_timer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger"... |
24483823071 | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path, include
from app1 import views
app_name='app1'
urlpatterns = [
path('',views.fn1,name='fn1'),
path('delete/<int:id>/',views.deletefn,name='deletefn'),
path('update/<int... | mathewjoseph2811/mathew | todoapp/app1/urls.py | urls.py | py | 796 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app1.views.fn1",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app1.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"... |
28987891900 | import socket # for connecting to the server
import _thread # to manage multiple clients
import json # to enconde and decode the data
host = '127.0.0.1'
port = 5000 # initiate port no above 1024
clients = {}
def server_program():
print('Starting Relay Server at ' + host + ':' + str(port)) # show in terminal
... | vitorpamplona/relayserver | server.py | server.py | py | 2,333 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "socket.socket",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "_thread.start_new_thread",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.loads",
"l... |
40450595184 | import os
import json
import importlib
from io import StringIO
import h2o.exceptions
import pytest
import pandas as pd
import insolver
from insolver import InsolverDataFrame
from insolver.wrappers import InsolverGLMWrapper
from insolver.transforms import (
InsolverTransform,
TransformAge,
TransformMapValue... | MindSetLib/Insolver | tests/test_serving_flask.py | test_serving_flask.py | py | 4,795 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "pandas.isnull",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "insolver.InsolverDataFrame",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "io.StringIO"... |
27215362092 | import uuid
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from django.utils.translation import gettext_lazy as _
class TimeStampedMixin(models.Model):
created = models.DateTimeField(auto_now_add=True)
modified = models.DateTimeField(auto_now=True)
c... | nekto007/new_admin_panel_sprint_2 | 01_doker_compose/app/movies/models.py | models.py | py | 4,591 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name... |
24936950957 | import sys
from collections import deque
from itertools import combinations
import copy
input = sys.stdin.readline
N,M = map(int, input().split())
board = [[0 for _ in range(M)] for _ in range(N)]
dx = [-1, 0, 1, 0]
dy = [0, 1, 0, -1]
answer = -1
empty_pos = []
virus_pos = []
for i in range(N):
row = list(ma... | fegler/ps | boj/14502.py | 14502.py | py | 1,292 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
}
] |
14614923309 | import datetime
from typing import Callable, List
MIGRATIONS: List[Callable] = []
migration = MIGRATIONS.append
def migrate(db):
ensure_migrations_table(db)
already_applied = {r["name"] for r in db["_llm_migrations"].rows}
for fn in MIGRATIONS:
name = fn.__name__
if name not in already_ap... | simonw/llm | llm/migrations.py | migrations.py | py | 4,836 | python | en | code | 1,859 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
978237233 | import mysql_config
import mysql.connector
from mysql.connector import errorcode
import datetime
import decimal
import plotly.express as px
import seaborn as sns
import matplotlib as mpl
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import numpy as np
import plotly.graph_objects as go
import io
... | johnny22/Weather_app | front_end/data_getter.py | data_getter.py | py | 15,291 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 22,
"usage_type": "name"
},
{
"... |
73757812158 | """
Pytorch Lightning models for MNIST dataset.
"""
from typing import Callable, List, Optional, Union
from lightning.pytorch.utilities.types import EVAL_DATALOADERS
import torch
from torch import nn
from torch.nn import functional as F
from torch.utils.data import DataLoader, random_split
from torchmetrics import Acc... | interTwin-eu/T6.5-AI-and-ML | ai/src/itwinai/plmodels/mnist.py | mnist.py | py | 7,168 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "base.ItwinaiBasePlDataModule",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "torchvis... |
36621743292 | '''
This pyspark script reads parquet file and displays its content
'''
from pyspark.sql import SparkSession, DataFrame
# Create Spark Session
# here 3.0.3 is the spark version;refer using https://mvnrepository.com/artifact/org.apache.spark/spark-sql-kafka-0-10
spark = SparkSession \
.builder \
.appName("Spa... | rollingJuggernaut/spark-streaming | readParquetFile.py | readParquetFile.py | py | 849 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 9,
"usage_type": "... |
8994639025 | from django.core.mail import send_mail
from django.utils.translation import gettext
from FamilyBackend import settings
from core.services.email.system import render_email
def send_item_email(timetable: str, row: str, start_time: str,
item_title: str, family: str, email: list):
context = {"timeta... | louieee/FamilyApp | FamilyBackend/core/services/email/timetable.py | timetable.py | py | 676 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "core.services.email.system.render_email",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 15,
"usage_type": "c... |
9425434488 | """
自定义中间件
"""
import hashlib
from django.core.cache import cache
from django.http import JsonResponse
SHA1_GEN_PROTO = hashlib.sha1()
def check_user_sign(get_response):
def middleware(request):
if request.path.startswith('/api'):
data = request.GET if request.method == 'GET' else request.d... | xiongwenxin123/fang | common/middlewares.py | middlewares.py | py | 928 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "hashlib.sha1",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "djang... |
41299061535 |
import random
from statistics import mode
from typing import Union
import torch
from torch import Tensor
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm.auto import tqdm
import transformers
import logging
import pandas as pd
import os
import argparse
import log... | tejasvaidhyadev/mila_course | nlp/a4_code/part_2_code.py | part_2_code.py | py | 14,827 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.F... |
38712492069 | import cadquery as cq
from cadquery import *
try:
from OCC.Core.gp import gp_Dir, gp_Pnt, gp_Vec, gp_XYZ
except:
from OCP.gp import gp_Dir, gp_Pnt, gp_Vec, gp_XYZ
try:
import crayons
has_crayons = True
except:
has_crayons = False
from cqkit.cq_geometry import edge_length, wire_length
from .cq_f... | michaelgale/cq-kit | cqkit/cq_pprint.py | cq_pprint.py | py | 9,255 | python | en | code | 84 | github-code | 97 | [
{
"api_name": "cq_files.better_float_str",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "crayons.red",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "crayons.green",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "crayons.blue",
... |
11917525731 | from beir.datasets.data_loader import GenericDataLoader
from beir.retrieval.train import TrainRetriever
from sentence_transformers import SentenceTransformer, losses, models
import os
def mnrl(
data_path,
base_ckpt,
output_dir,
max_seq_length=350,
use_amp=True,
qgen_prefix="qgen",
):
prefi... | UKPLab/gpl | gpl/toolkit/mnrl.py | mnrl.py | py | 1,680 | python | en | code | 281 | github-code | 97 | [
{
"api_name": "beir.datasets.data_loader.GenericDataLoader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.models.Transformer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.models",
"line_number": 23,
"u... |
31983430131 | import tweepy
consumer_key="PxKJuonUhVuyiE5KzcjazfrWR"
consumer_secret="xSl4Q1T6jfs5DqiseNeVJLsEpcfZpk5LjrBUpAJXebWd56aBIE"
access_token="1522356900204933120-NvVS8bZxeODCIESjbBWQ46iQNZlKYb"
access_token_secret="gVGo4GOxfJCvyQ7gOY1alqJzjrZz1RLJZeGs92wBaGHXL"
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
... | khaou1/tweepy-bots | bot.py | bot.py | py | 773 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 13,
"usage_type": "call"
}
] |
13310539534 | from project_manager.app import members
from django.test import TestCase
class MemberTestCase(TestCase):
def setUp(self):
test_user_name = "test_name"
test_role_name = "test_role"
test_role_name_2 = "test_role_2"
self.role = members.create_new_role(test_role_name)
self.role2... | odonnellryan/project_manager | project_manager/app/members_test.py | members_test.py | py | 807 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.test.TestCase",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "project_manager.app.members.create_new_role",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "project_manager.app.members",
"line_number": 9,
"usage_type": "name"
},
... |
30926200904 | # Databricks notebook source
from pydantic import BaseSettings
class Settings(BaseSettings):
AZURE_ACC: str = ""
AZURE_ACC_KEY: str = ""
class Config:
env_file = ".env"
case_sensitive = True
settings = Settings()
# COMMAND ----------
import time
def first_level_folders(path... | 4dori/Data-Engineering | module_7/Spark_Streaming_Databricks/notebooks/Simulation.py | Simulation.py | py | 1,444 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pydantic.BaseSettings",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
}
] |
31679481608 | import numpy as np
from keras import backend as K
from keras.engine import Layer
class ConvolutionalAutoencoderLayer(Layer):
def __init__(self,
filters,
filter_size=(2, 2),
**kwargs):
"""
Constructor for creating the ConvAutoencoder Layer
... | tms1337/tensorflow-tutorial | ConvolutionalAutoencoderLayer.py | ConvolutionalAutoencoderLayer.py | py | 2,585 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "keras.engine.Layer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "keras.backend.conv2d",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "keras.backend.bi... |
30837565454 | import sys
import pytest
from clime import clime
from docs_src.enums.tutorial_001 import main, Dude, Colors
def test_help(set_cli_sys_argv, capsys):
sys.argv.append("--help")
with pytest.raises(SystemExit):
main()
captured = capsys.readouterr()
assert "{Colors.red,Colors.blue}" in captured.o... | ilanjb/clime | tests/test_docs_src/test_enum/test_tutorial_001.py | test_tutorial_001.py | py | 1,210 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pytest.raises",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "docs_src.enums.tutorial_0... |
23935590390 | import os
import cv2
import sys
sys.path.append(r"C:\Users\jeanbaptiste\Desktop\assiette\v2\main")
import imutils
import numpy as np
import time
import matplotlib.pyplot as plt
from PIL import Image
def open_picture(image, mode):
"""We open picture"""
if mode == 1:
img = cv2.imread... | LeGrosLezard/remove-background | background/main2.py | main2.py | py | 4,219 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number"... |
25622344131 | from app import create_app
from pytest import fixture
from app.extensions import db
from app.models import Product, Category
from slugify import slugify
@fixture
def app():
app = create_app()
app.testing = True
return app
@fixture
def create_database(app):
with app.app_context():
db.create_a... | Anaxxi/flaskstore- | flask-store/tests/conftest.py | conftest.py | py | 848 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "app.create_app",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.testing",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "app.app_context",
"l... |
23702778958 | import json
import sys
import statistics
import urllib.request
targetScore = []
diseaseScore = []
sampleList = []
def targetAnalysis(targetName, targetList):
vTarStddev, vTarMean, vTarMax, vTarMin = stand_dev(targetList)
print("Standart deviation for target {} = {}".format(targetName, vTarStddev))
print("Mean fo... | mira13/OpenTargets | TestA/ProcessingToolboxA.py | ProcessingToolboxA.py | py | 2,266 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 28,
"usage_type": "name"
},
{
"api_nam... |
12019382661 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 20 19:48:13 2022
@author: sonaw
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv('eda_data.csv')
#choose relevant columns
df.columns
df_model = df[['avg_salary','Rating','Size','Type of ownership','Industry','Sector','Revenue... | ketansonawane/data-science-salary-estimator | model_building.py | model_building.py | py | 3,451 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type": "call"
},
{
"api_n... |
26328159744 | """Radwag Responses."""
from .commands import RadwagCommand, RADWAG_COMMAND_TERMINATOR
from enum import Enum
from dataclasses import dataclass
from typing import Optional, List
class RadwagResponseCodes(str, Enum):
"""Radwag response codes."""
NONE = ""
IN_PROGRESS = "A"
CARRIED_OUT_AFTER_IN_PROGRES... | Opentrons/opentrons | hardware-testing/hardware_testing/drivers/radwag/responses.py | responses.py | py | 4,191 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "commands.RadwagCommand",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"li... |
42713436666 | from django.apps import apps
from django.core.exceptions import ImproperlyConfigured
from fluentcms_emailtemplates.extensions import EmailContentPlugin
from fluent_contents.extensions import plugin_pool
from .models import OrderSummaryEmailItem
@plugin_pool.register
class OrderSummaryEmailPlugin(EmailContentPlugin):
... | django-fluent/fluentcms-emailtemplates | fluentcms_emailtemplates/plugins/oscar_email/content_plugins.py | content_plugins.py | py | 1,541 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "fluentcms_emailtemplates.extensions.EmailContentPlugin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.OrderSummaryEmailItem",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "fluentcms_emailtemplates.extensions.EmailContentPlugin",
"... |
22570861891 |
import couchdb
from pymongo import MongoClient
import json
import requests
from pymongo.errors import ConnectionFailure
URL = 'http://admin:admin@localhost:5984'
print(URL)
try:
response = requests.get(URL)
if response.status_code == 200:
print('CouchDB conection failed: Success')
if response.stat... | Byron040601/ExamenAD | 7.py | 7.py | py | 986 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.ConnectionError",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "couchdb.Server",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymongo.Mon... |
30260859041 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import logging
logger = logging.getLogger(__name__)
import threading
from six import with_metaclass
from six.moves import queue
from ._text import to_text
class Singleton(type):
def __new__(cls, name, parents, params):
try:
retu... | ansible/ansible-container | container/utils/logmux.py | logmux.py | py | 1,313 | python | en | code | 2,204 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "six.with_metaclass",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "six.moves.queue.Queue",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "six.moves.q... |
40636713547 | ################################################
###############################################
import os
import sys
import signal
import time
import lib.NETSocket as socket
import re
class HTTPClient():
def __init__(self):
self.connect = socket.NETSocket()
self.http_user_agent="Mozilla/5.0 (X1... | alex-filimonov/acs_prototype | lib/HTTPClient.py | HTTPClient.py | py | 1,750 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "lib.NETSocket.NETSocket",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lib.NETSocket",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.split",
"line_number": 46,
"usage_type": "call"
}
] |
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