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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12741310305 | import sqlite3
con = sqlite3.connect('d_students.db')
cur = con.cursor()
# Create table
#cur.execute('''CREATE TABLE s_information
#(first_name text, last_name text, course text, age real)''')
# Insert a row of data
#cur.execute("INSERT INTO s_information VALUES ('Ade','Ola','product_design', 29)")
# ... | kehindeorolade/Module_4_lesson_3 | Module_4_less_3.py | Module_4_less_3.py | py | 1,043 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
24512005131 | import datetime as dt
import warnings
import numpy as np
import pandas as pd
from asgiref.sync import async_to_sync
from dateutil.parser import parse
from django.core.cache import cache
from django.utils import timezone
from apps.integration.tasks.sockets.get_kws_object import get_kws_object
warnings.filterwarnings(... | finbyz/trading_child | apps/integration/tasks/sockets/option_websocket.py | option_websocket.py | py | 3,575 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
21888795134 | import time
from pyvisauto import Region
import api.api_core as api
import fleet.fleet_core as flt
import config.config_core as cfg
import nav.nav as nav
import stats.stats_core as sts
import util.kca as kca_u
from kca_enums.kcsapi_paths import KCSAPIEnum
from util.logger import Log
class FactoryCore(object):
ena... | XVs32/kcauto_custom | kcauto/factory/factory_core.py | factory_core.py | py | 8,911 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "config.config_core.config",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "config.config_core",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time... |
3642629983 | from utils.transformers_utils import SiameseRobertaModel,TrainerLogger,get_preds,compute_metrics,update_metrics
import numpy as np
import pandas as pd
from transformers import RobertaTokenizerFast,RobertaConfig,TrainingArguments
from datasets import Dataset,DatasetDict #!pip install datasets
import evaluate ... | matisyo/vulnerability_detection | Notebooks/8. Transformers Classifier.py | 8. Transformers Classifier.py | py | 4,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datasets.DatasetDict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datasets.Dataset.fro... |
39932475902 | import argparse
import requests
from tabulate import tabulate
def make_api_request(query, filters, page, pagesize):
url = 'http://localhost:3000/log/search'
data = {
'query': query,
'filters': filters,
'page': page,
'pageSize': pagesize
}
response = requests.post(url, ... | harikrishnanum/LogQube | cli/search.py | search.py | py | 2,041 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 42,
"usage_type": "call"
}
] |
42842609252 | # This is a replacement for test/integration/inflate_tokens.sh.
# The original script had a lot of problems as described in https://app.zenhub.com/workspaces/current-sprint---engineering-615a2e9fe2abd5001befc7f9/issues/sifchain/issues/719.
# See https://www.notion.so/sifchain/TEST-TOKEN-DISTRIBUTION-PROCESS-41ad0861560... | Sifchain/sifnode | test/integration/framework/src/siftool/inflate_tokens.py | inflate_tokens.py | py | 18,307 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "typing.Mapping",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "siftool.test_utils.EnvCtx",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "siftool.test... |
14132002645 | from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, DateTime, Float, UniqueConstraint, Index
from sqlalchemy.orm import relationship
from src.models import Base
class GpsRecord(Base):
__tablename__ = "gps_record"
id = Column(Integer, primary_key=True, index=True)
datetime = Column(DateT... | jmcastellote/whereabouts | src/gps_record/model.py | model.py | py | 1,126 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "src.models.Base",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Co... |
31192442591 | """
Created on Fri Mar 4 19:28:46 2022
@author: Miguel
"""
from _legacy.exe_isotopeChain_taurus import DataTaurus
class Template:
com = 'com'
z = 'z'
a = 'a'
seed = 'seed'
b20 = 'b20'
varN2 = 'varN2'
iterartions = 'iters'
hamil = 'interaction'
TEMPLATE = """NUCLEUS {a... | migueldelafuente1/taurus_tools | _legacy/exe_q20pes_axial.py | exe_q20pes_axial.py | py | 33,646 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "_legacy.exe_isotopeChain_axial.DataAxial.INPUT_FILENAME",
"line_number": 146,
"usage_type": "attribute"
},
{
"api_name": "_legacy.exe_isotopeChain_axial.DataAxial",
"line_number": 146,
"usage_type": "name"
},
{
"api_name": "subprocess.call",
"line_number": 150,... |
2277882687 | import random
import time
import discord
from discord.ext import commands
import utils
class Misc(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
async def profile(self, ctx, user: discord.Member = None):
""" Get information about a Discord user.
Argument 'user', if sp... | SkippyTheSnake/Discord-bot | cogs/misc.py | misc.py | py | 3,962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Member",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name":... |
25231410593 | #! /usr/bin/env python
# encoding: utf-8
# vim: ai ts=4 sts=4 et sw=4
##
##
## @author Nadia
## nadia@gmail.com/joel@gmail.com
##
import MySQLdb
from datetime import datetime
from mako.template import Template
from creche import settings
class SysEventService:
"""Class that will be delegated with creating event... | projet2019/Creche_Parentale | creche/coreapp/service/sys_event_service.py | sys_event_service.py | py | 8,574 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MySQLdb.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "creche.settings.DATABASES",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "creche.settings",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "creche... |
10819501559 | import yaml
import librosa
import numpy as np
import os
sr = 22050
namesong = 'LizNelson_Rainfall'
def merge_stems(namesong):
# Merge all instrumental stems into 1 mix and all vocal stems into 1 mix
stream = open("./MedleyDB_sample/Audio/" + namesong + "/" + namesong + "_METADATA.yaml", "r")
... | moulinleo/Voice-Isolation | merge_stems.py | merge_stems.py | py | 2,850 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.load_all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "librosa.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "librosa.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numbe... |
30881965405 | # -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
version = '0.9.4'
long_description = (
open('README.rst').read()
+ '\n' +
open(os.path.join('docs', 'HISTORY.rst')).read()
+ '\n')
setup(name='plone.jsonapi.routes',
version=version,
description="Plone JSON API... | collective/plone.jsonapi.routes | setup.py | setup.py | py | 1,641 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",... |
12816084120 | import requests
import os
from dotenv import load_dotenv
class YaUploader:
BASE_URL = 'https://cloud-api.yandex.net/v1/disk/resources'
GET_FILES = '/files'
UPLOAD_LINK = '/upload'
def __init__(self, token) -> None:
self.token = token
def get_headers(self):
headers = {
... | SergeyMMedvedev/8_api_requests | task_2.py | task_2.py | py | 1,652 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line... |
33126934610 | import pandas as pd
from tools.readFile import read_excl
# 读取excel中指定列整列元素，返回一个集合
def readExcelData(filePath, column):
df = pd.read_excel(filePath, usecols=[column - 1]) # 指定读取的列
df_list = df.values.tolist()
backList = []
for i in df_list:
backList.append(i[0])
if len(backList) == 0:
... | linhe-demo/sync_dataTable | tools/readExcel.py | readExcel.py | py | 632 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tools.readFile.read_excl",
"line_number": 15,
"usage_type": "call"
}
] |
17573160892 | from flask import Flask, render_template, request, redirect, session, flash
from mysqlconnection import connectToMySQL
import json
app = Flask(__name__)
@app.route("/")
def index():
mysql = connectToMySQL("leads_and_clients_db")
query = "SELECT concat(clients.first_name, ' ', clients.last_name) as name, count... | aaronfennig/pythonDjango | flask/flask_mysql/leads_and_clients/server.py | server.py | py | 963 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mysqlconnection.connectToMySQL",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.d... |
72782974907 | import _pickle as pickle
import numpy as np
from mtqt_source import MTQTSource
from pathlib import Path
from pyrocko import orthodrome
import tensorflow_probability as tfp
import waveform_processing as wp
tfd = tfp.distributions
pi = np.pi
def find_closest_grid_point(lat_ev, lon_ev, depth_ev, path_models=None,
... | braunfuss/BNN-MT | cnn_util.py | cnn_util.py | py | 6,023 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "tensorflow_probability.distributions",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "p... |
38793898315 | # import tensorflow libraries
import tensorflow as tf
import numpy as np
# import opencv and find webcam
import cv2
cap = cv2.VideoCapture(0)
if not(cap.isOpened()):
print("Can't find webcam, shutting down...")
quit()
# set resolution of camera capture
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 960.0)
cap.set(cv2.CAP_... | OSUrobotics/object_detection | mainfile.py | mainfile.py | py | 2,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_... |
28989994372 | if True:
from PyQt5.QtCore import pyqtSlot, QSettings
from PyQt5.QtWidgets import QApplication, QDialog, QDialogButtonBox, QTableWidgetItem
from PyQt5.QtXml import QDomDocument
else:
from PyQt4.QtCore import pyqtSlot, QSettings
from PyQt4.QtGui import QApplication, QDialog, QDialogButtonBox, QTableW... | falkTX/Cadence | src/catarina.py | catarina.py | py | 54,241 | python | en | code | 361 | github-code | 6 | [
{
"api_name": "PyQt4.QtGui.QDialog",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "ui_catarina_addgroup.Ui_CatarinaAddGroupW",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui.QDialog.__init__",
"line_number": 63,
"usage_type": "call"... |
18164621881 | import json
# Read the network.json file
with open("network.json", "r") as f:
network = json.load(f)
# Create a set to store all pairs (a, b) such that a follows b but b doesn't follow back a
pairs = set()
# Iterate over all users in the network
for user, data in network.items():
# Get the list of... | GOVINDFROMINDIA/Twitter-Scam-Victims | GraphEvaluation.py | GraphEvaluation.py | py | 1,265 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
}
] |
12300846904 | """
This example illustrates how to display the tree of a single TreeGrower for
debugging purpose.
"""
from sklearn.datasets import make_classification
import numpy as np
from pygbm.binning import BinMapper
from pygbm.grower import TreeGrower
from pygbm import plotting
rng = np.random.RandomState(0)
n_samples = int... | ogrisel/pygbm | examples/plot_performance_profile_single_small_tree.py | plot_performance_profile_single_small_tree.py | py | 1,076 | python | en | code | 175 | github-code | 6 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 17,
"usage_type": "call"
},
{
"a... |
72067619709 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 9 13:31:37 2022
@author: basile
"""
import pandas as pd
df = pd.DataFrame(columns=['index', 'prenom', 'nom', 'email', 'groupe', 'mystere'])
df.to_csv('priants.csv', index=False)
import streamlit as st
input = st.text_input("text", key="text")
... | BasileR29/chapelet_tournant | test.py | test.py | py | 422 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.button",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.sess... |
24494832097 | import requests
import pandas as pd
from bs4 import BeautifulSoup as bs
def get_spy():
url = 'https://www.slickcharts.com/sp500'
request = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
soup = bs(request.text, "lxml")
stats = soup.find('table', class_='table table-hover table-borderless t... | reesecake/td_api | util/IndexInfo.py | IndexInfo.py | py | 520 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
... |
36152977435 | import os, sys, logging
from flask import Blueprint, current_app
from flask import request, jsonify
ml_model_bp = Blueprint('ml_model_bp', __name__) # create a Blueprint object
# create 'index' view for testing purposes
@ml_model_bp.route('/', methods=["GET", "POST"])
def index():
return "ML model service is run... | bhavenp/docker_sentiment_analysis | ml_service/ml_model_api/ml_model_blueprint.py | ml_model_blueprint.py | py | 1,355 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.current_app.model",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.r... |
20232075182 | from tradingview.client import TradingViewWebSocketClient, fetch_japan_symbols
from datetime import datetime
client = TradingViewWebSocketClient()
symbols = fetch_japan_symbols()
client.add_symbols(symbols[:100])
# client.add_symbols(['TSE:4689'])
for x in client.fetch_ohlc(past_bar=302):
print(datetime.fromtime... | otomarukanta/tradingview | example_ohlc.py | example_ohlc.py | py | 341 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tradingview.client.TradingViewWebSocketClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tradingview.client.fetch_japan_symbols",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 11,
"... |
13913894709 | from __future__ import annotations as _annotations
from typing import TYPE_CHECKING
import pytest
from watchfiles import watch
from watchfiles.main import _default_force_polling
if TYPE_CHECKING:
from .conftest import SetEnv
class MockRustNotify:
@staticmethod
def watch(*args):
return 'stop'
... | samuelcolvin/watchfiles | tests/test_force_polling.py | test_force_polling.py | py | 2,551 | python | en | code | 1,336 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "watchfiles.watch",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "conftest.SetEnv",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "watchfiles.watc... |
11464862154 | import speech_recognition as sr
from requests import get
from bs4 import BeautifulSoup
from gtts import gTTS
from paho.mqtt import publish
import os
##### CONFIGURAÇÕES #####
with open('arquivoConfiguraGoogleSpeech.json') as credenciais_google:
credenciais_google = credenciais_google.read()
executaAcao = False
se... | cicerojmm/assistentePessoalIoT | veronica/veronica.py | veronica.py | py | 3,705 | python | pt | code | 2 | github-code | 6 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 38,
"usage_type": "attr... |
3549042262 | from django import forms
from catalog.models import Category, Product
class ProductAdminForm(forms.ModelForm):
class Meta:
model = Product
fields = ['name', 'slug','brand','sku','price','old_price',\
'is_active','is_bestseller','is_featured','quantity',\
'descri... | Hamfri/shopping | catalog/forms.py | forms.py | py | 626 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "catalog.models.Product",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.f... |
29125164138 | from django.conf.urls import include, patterns, url
view_location = 'customProfile.views'
urlpatterns = patterns(view_location,
# Views
url(r'^(?P<username>[-\w]+)/', include(patterns(view_location,
url(r'^$', 'profileRedirect', {'redirect_url': 'artist:about'}, name='home'),
url(r'^news/$', '... | TimBest/ComposersCouch | artist/urls.py | urls.py | py | 2,864 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "... |
8845375190 | from fastapi import APIRouter, Depends
from fastapi_pagination import Page, Params
from src.admins.dependencies import get_groups_service, get_valid_group
from src.admins.models import Group
from src.admins.schemas import CreateGroupSchema, GroupOut
from src.admins.services import GroupService
router = APIRouter()
... | Qwizi/fastapi-sourcemod | sourcemod_api/src/admins/views/groups.py | groups.py | py | 1,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi_pagination.Params",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.admins.services.GroupService",
"line_number": 15,
"usage_type": "name"
},
{
"api_... |
30357262081 | from threading import Thread
from time import sleep
from traits.api import HasTraits, Int, Button
from traitsui.api import View, Item, VGroup
class ThreadDemo(HasTraits):
# The thread specific counters:
thread_0 = Int()
thread_1 = Int()
thread_2 = Int()
# The button used to start the threads run... | enthought/traitsui | traitsui/examples/demo/Advanced/Multi_thread_demo.py | Multi_thread_demo.py | py | 1,376 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "traits.api.Int",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "traits.api.Int",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "traits.api.Int",
... |
30353743561 | # Author: Varun Hiremath <varun@debian.org>
# Enthought library imports.
from traits.api import Instance, Enum
from traitsui.api import View, Group, Item
from tvtk.api import tvtk
# Local imports
from mayavi.filters.filter_base import FilterBase
from mayavi.core.pipeline_info import PipelineInfo
###################... | enthought/mayavi | mayavi/filters/extract_vector_components.py | extract_vector_components.py | py | 2,728 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "mayavi.filters.filter_base.FilterBase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tvtk.api.tvtk.ExtractVectorComponents",
"line_number": 25,
"usage_type": "attri... |
28726581501 | import logging
import feedparser
import requests
from .. import read_list
log = logging.getLogger(__name__)
class VideoFeed:
def __init__(self, known_path, url):
self.url = url
self.read_list = read_list.ReadList(known_path, url)
def is_new(self, item):
return self.read_list.is_new... | EliseAv/tubeforme | video_feeds/_base.py | _base.py | py | 1,334 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "feedparser.parse",
"line_number": 23,
"usage_type": "call"
}
] |
9790495928 | from django.core.files.storage import FileSystemStorage
from django.http import FileResponse
from django.http import HttpResponseBadRequest
from django.http import HttpResponseNotFound
from django.http import JsonResponse
from rest_framework import mixins
from rest_framework import viewsets
from rest_framework.decorato... | wiksla/f5-bigip-journeys-app | journeys/backend/views.py | views.py | py | 8,720 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "journeys.modifier.conflict.plugins.load_plugins",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 28,
"usage_type": "cal... |
14098850969 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Few more things we might wanna work out here.
Our lack of the module :mod:`inspect` is pretty surprising.
Refer to either `IPython.core.oinspect` or `xonsh.inspectors`
for some good uses of the std lib module.
"""
from pprint import pformat
from pygments import highl... | farisachugthai/dynamic_ipython | default_profile/extensions/extension_inspect.py | extension_inspect.py | py | 2,946 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "pygments.styles.inkpot.InkPotStyle",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gruvbox.gruvbox.GruvboxStyle",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "IPython.core.magic.Magics",
"line_number": 32,
"usage_type": "name"
},
... |
19342659029 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.nn.utils import clip_grad_norm_
from torch.utils.data import DataLoader
import torchvision.models as models
from torch.autograd import Variable, grad
from copy import deepcopy
from tqdm import tq... | clarenceluo78/ActiveAD | models/nets_waal.py | nets_waal.py | py | 10,208 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
39911776352 | import os
import re
import json
import pickle
import kss
import pandas as pd
from tqdm import tqdm
from elasticsearch import Elasticsearch
from torch.utils.data import DataLoader, TensorDataset
from datasets import load_metric, load_from_disk, load_dataset, Features, Value, Sequence, DatasetDict, Dataset
from sentence_... | TEAM-IKYO/Open-Domain-Question-Answering | code/prepare_dataset.py | prepare_dataset.py | py | 12,138 | python | en | code | 24 | github-code | 6 | [
{
"api_name": "pickle.dump",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "kss.split_sentences",
"line_num... |
21940354299 | r"""Format notebooks using the TensorFlow docs style.
Install the tensorflow-docs package:
$ python3 -m pip install -U [--user] git+https://github.com/tensorflow/docs
Usage:
$ python3 -m tensorflow_docs.tools.nbfmt [options] notebook.ipynb [...]
See the TensorFlow notebook template:
https://github.com/tensorflow/doc... | tensorflow/docs | tools/tensorflow_docs/tools/nbfmt/__main__.py | __main__.py | py | 9,543 | python | en | code | 5,917 | github-code | 6 | [
{
"api_name": "absl.flags.DEFINE_integer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "absl.flags",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "absl.flags.DEFINE_bool",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "absl.flag... |
21215598425 | # -*- coding: utf-8 -*-
from datetime import datetime, timedelta
from django.utils.translation import gettext as _
from django.db.models.manager import BaseManager
import plotly.offline as plotly
import plotly.graph_objs as go
from reports import utils
def weight_change(
actual_weights: BaseManager, percentile_... | babybuddy/babybuddy | reports/graphs/weight_change.py | weight_change.py | py | 3,806 | python | en | code | 1,766 | github-code | 6 | [
{
"api_name": "django.db.models.manager.BaseManager",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "name"
},
{
"api_name... |
17178723426 | import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.graph_objects as go
import plotly.express as px
from sklearn.model_selection import train_test_split
from xgboost import XGBRegressor
import pickle
st.set_page_config(page_title="Air Quality... | vavald/MDA_streamlit | pages/6_💨_AirQuality.py | 6_💨_AirQuality.py | py | 5,860 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load... |
18790221797 | import torch
import decord
from decord import cpu, gpu
from tqdm import tqdm
import json
import os
import random
import numpy as np
import pickle
def sample_frames(num_frames, vlen, sample='rand', fix_start=None):
acc_samples = min(num_frames, vlen)
intervals = np.linspace(start=0, stop=vlen, num=acc_samples ... | MILVLG/anetqa-code | clipbert/sample_imgs_clipbert.py | sample_imgs_clipbert.py | py | 2,196 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number":... |
36994780654 | # -*- coding:utf-8 -*-
from __future__ import print_function
from __future__ import division
import tensorflow as tf
import numpy as np
from tqdm import tqdm
import os
import sys
import shutil
import time
from utils import get_logger
import network
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
sys.path.append('../..')
fr... | shelleyHLX/cail | models/Attention_Textcnn/train.py | train.py | py | 9,638 | python | en | code | 77 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.flags",
... |
70986505148 | #!/usr/bin/env python3
"""
Created on Thu Mar 13 9:31:11 2020
@author: Hanrui Wu
"""
import pysam
import sys
import gzip
def read_cell_names1(pathseq_bam_file, write_bac):
seqbam = pysam.AlignmentFile(pathseq_bam_file, "rb",threads=36)
read_name_pathseq = open(write_bac,'w')
total_pathseq_reads=0
tota... | FredHutch/invadeseq | bin/UMI_matrix.py | UMI_matrix.py | py | 20,709 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pysam.AlignmentFile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pysam.AlignmentFile",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "pysam.AlignmentFile",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "gzip.open... |
20946824389 | import datetime
from pysolar import solar
# Calculate the altitude and azimuth of the sun given the location and the time
def sun_pos(payload):
# Input variables
lat = payload["lat"] # Lattitude (deg)
lon = payload["lon"] # Longitude (deg)
epoch = payload["epoch"] # time (Linux epoch in seconds)
... | bsamadi/metadata-processor | app/sun_pos.py | sun_pos.py | py | 727 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "datetime.timezone",
"line_number": 13,
"usage_type": "attribute"
},
{
"api... |
17286729620 | import cv2
import imutils
import numpy as np
cv2.namedWindow("MyImage")
img = cv2.imread("img.jpg")
# translated = imutils.translate(img, 25, -75)
# rotated = imutils.rotate(img, 45)
img = imutils.resize(img, width=600)
# url_images = imutils.url_to_image(
# "https://www.google.com/images/branding/googlelogo/2x/... | osoulim/Computer-Vision | Python/Week3/pre_proccess.py | pre_proccess.py | py | 532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.namedWindow",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "imutils.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number... |
26039871256 | from __future__ import annotations
import dataclasses
import hashlib
import os.path
from collections import deque
from dataclasses import dataclass
from pathlib import PurePath
from typing import Iterable, Mapping
from pants.backend.go.util_rules import cgo, coverage
from pants.backend.go.util_rules.assembly import (... | pantsbuild/pants | src/python/pants/backend/go/util_rules/build_pkg.py | build_pkg.py | py | 38,872 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.engine_aware.EngineAwareParameter",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "pants.engine.fs.Digest",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "pants.backend.go.util_rules.build_opts.GoBuildOptions",
"line_number": ... |
74884399227 | # -*- coding: utf-8 -*-
import re
import sqlite3
from collections import defaultdict
import requests
import gnupg
class OTCDB(object):
gpg_file = 'GPG.db'
rating_file = 'RatingSystem.db'
def __init__(self, path):
self.path = path
self.trusted = {}
def open_db(self):
gpg_path = '{0}/{1}'.format(self.path,... | extempore/deedbundler | deedbundler/otc.py | otc.py | py | 3,668 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"l... |
3602691667 |
"""
Description:
使用 Bokeh，基于各国家创建一个 CPI 和童工数据的散点图。
拓展：
Bokeh（http://bokeh.pydata.org/）是一个 Python 绘图库，能够用相当简单的命令来绘制更
复杂的图表类型。如果想要创建一个条形图、散点图或时间序列图，尝试Bokeh，看看是
否合适。使用 Bokeh，基于各国家创建一个 CPI 和童工数据的散点图。
"""
from bokeh.plotting import figure, show, output_file
# NOTE: You'll need to have 'africa_cpi_cl' table from Chapte... | lafitehhq/PythonBook | Python-03数据处理/Reference/code/chp10-presentation-数据展示/chart_bokeh_使用Bokeh绘图1.0.py | chart_bokeh_使用Bokeh绘图1.0.py | py | 1,776 | python | zh | code | 2 | github-code | 6 | [
{
"api_name": "bokeh.plotting.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.output_file",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bokeh.plotting.show",
"line_number": 27,
"usage_type": "call"
}
] |
11704116245 | import platform
from tkinter import filedialog
from web3 import Web3
from web3.contract import Contract
from web3.providers.rpc import HTTPProvider
from solcx import install_solc
install_solc(version='latest')
from solcx import compile_source
import subprocess
import os
import tkinter as tk
from PIL import Image, Image... | MassimilianoPiccinini/SoftwareSecurity-Blockchain | src/offchain.py | offchain.py | py | 23,961 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "solcx.install_solc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
34953476775 | from django.shortcuts import render_to_response
from read_num.models import get_seven_read_data, get_today_hot_data, get_yesterday_hot_data
from django.contrib.contenttypes.models import ContentType
from blog.models import Blog
from django.utils import timezone
from django.db.models import Sum
from django.core.cache im... | shane-constantine/mysite | mysite/views.py | views.py | py | 1,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects.get_for_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "blog.models.Blog",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType.objects"... |
15067404413 | from django.shortcuts import render, redirect
from .forms import Registration, Login
from django.contrib.auth import authenticate, login, logout
from django.contrib import messages
from .models import *
from .custom_manager import CustomUserManager
from django.contrib import messages
import uuid
from django.conf import... | leenabadgujar/Online_Tiffin_Service | CustomUser/views.py | views.py | py | 4,317 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "forms.Registration",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 22,
"usage_type": "call"
},
{
"api_... |
86572452967 | #!/usr/bin/env python3
"""
Check for and replace aliases with their new names from vk.xml
"""
import argparse
import pathlib
import subprocess
import sys
import xml.etree.ElementTree as et
THIS_FILE = pathlib.Path(__file__)
CWD = pathlib.Path.cwd()
VK_XML = THIS_FILE.parent / 'vk.xml'
EXCLUDE_PATHS = [
VK_XML.re... | sailfishos-mirror/mesa | src/vulkan/registry/update-aliases.py | update-aliases.py | py | 6,150 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"l... |
31684540429 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
class DouluoSpider(CrawlSpider):
name = 'douluo'
allowed_domains = ['tycqxs.com']
start_urls = ['http://www.tycqxs.com/54_54196/']
custom_settings = {'ITEM_PIPELINES': {'s... | zhangcq1/MyCrawler | 爬虫基础梳理/shop/shop/spiders/douluo.py | douluo.py | py | 1,034 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 13,
"usage_type": "call"
},
{
... |
74200612027 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : train.py
# @Author: stoneye
# @Date : 2023/09/01
# @Contact : stoneyezhenxu@gmail.com
import tensorflow as tf
import tensorflow.contrib.slim as slim
import utils
from models import ModelUtil
from models import NextvladModel
from models import TextExactor
from m... | stoneyezhenxu/Multimodal_Video_Classification | src/video_model.py | video_model.py | py | 23,282 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.ModelUtil",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "models.NextvladModel",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "models.TrnModel",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.TextExac... |
4135669430 | #!/usr/bin/env python3
# Covariance Calculation from doc2vec model
import numpy as np
import gensim.models
import gensim
import sys
import pickle
from helpers import get_name
def compute_covariance_matrix(model_name, to_json=True):
model = gensim.models.Doc2Vec.load(model_name)
doctags = list(model.docvecs.... | papachristoumarios/sade | sade/corrcoef.py | corrcoef.py | py | 930 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "gensim.models.Doc2Vec.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gensim.models",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.corrc... |
43956557150 | from flask import flash
from db import db
# Feedback function for registered users
def feedback(user_id, message):
sql = "INSERT INTO messages (user_id, message) VALUES (:user_id, :message)"
db.session.execute(sql, {"user_id":user_id, "message":message})
db.session.commit()
flash("Kiitos palautteestasi... | asianomainen/tsoha-s2020-tuntivarausjarjestelma | messages.py | messages.py | py | 909 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "db.db.session.execute",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "db.db.session",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "db.db.session.commit",
... |
29017166061 | from django.forms import model_to_dict
from django.http import JsonResponse
from rest_framework.decorators import api_view
from rest_framework.parsers import JSONParser
from api.models.facility import Facility
from api.serializers.facility_serializer import FacilitySerializer
@api_view(['GET'])
def facility(request, ... | jazzhammer/jitgurup | api/views/facilitys_view.py | facilitys_view.py | py | 2,880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "api.models.facility.Facility.objects.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "api.models.facility.Facility.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "api.models.facility.Facility",
"line_number": 11,
"usa... |
5469207228 | #ライブラリ、モジュールをインポート
import pandas as pd
import openpyxl as px
from openpyxl.formatting.rule import CellIsRule
from openpyxl.styles import Color, PatternFill
#ブック名入力
tdname=input('testdataName?')
edname=input('editordataName?')
#読み込んだブックの同じテストのデータをDataFrameに格納
td=pd.read_excel(tdname,header=1,sheet_name=0)
ed=pd.read_e... | kobayu0902art/work_snippets | reshape/reshape_v1.4_1.py | reshape_v1.4_1.py | py | 2,175 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame... |
15764585120 | """
Anisha Kadri 2017
ak4114@ic.ac.uk
A Module containing methods to create networks from different models.
1) For pure preferential attachement:-
pref_att(N, m)
2) For random attachment:-
rand_att(N,m)
3) For a mixture of the two, attachment via random walk:-
walk_att(N,m,L)
References
----------
[1]... | anishakadri/barabasialbert | model.py | model.py | py | 5,291 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "networkx.complete_graph",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "random.seed",
"... |
654986927 | #!/usr/bin/env python
import argparse
from .. import view_container
def tobool(inp):
return inp.lower() in ('y', '1', 'ok', 't')
parser = argparse.ArgumentParser(description='Display datasets in h5 or n5/zarr container.')
parser.add_argument('path', type=str, help='path to container')
parser.add_argument('--nd... | constantinpape/heimdall | heimdall/scripts/view_container.py | view_container.py | py | 1,184 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
}
] |
71245917627 | import time
import numpy as np
from testing import Ptot
import matplotlib.pyplot as plt
if __name__ == "__main__":
div = int(1e4)
# number of tests
Q = int(8e6)//div
# population size
N = int(40e6)//div
R = 0
Ip_arr = np.arange(500, 3000)
# FNR variations
Ptot_a... | lubo93/disease-testing | sampling/testing_analytical_replacement_true_CA.py | testing_analytical_replacement_true_CA.py | py | 881 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "testing.Ptot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number"... |
74147618108 | # coding:utf-8
"""
Django administration setup
@author: Sébastien Renard <Sebastien.Renard@digitalfox.org>
@license: AGPL v3 or newer (http://www.gnu.org/licenses/agpl-3.0.html)
"""
from django.contrib import admin
from django.utils.translation import gettext_lazy as _
from billing.models import ClientBill, SupplierB... | digitalfox/pydici | billing/admin.py | admin.py | py | 2,334 | python | en | code | 122 | github-code | 6 | [
{
"api_name": "core.admin.ReturnToAppAdmin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 29,
"usage_type"... |
28514991368 | """
This module transforms the corpus into the format require by each benchmarked tool
"""
import json
def liwc(senders, data):
ds = dict()
for hashed_addr in senders:
try:
emails = '. '.join(data[hashed_addr])
ds[hashed_addr] = emails
except KeyError:
cont... | collab-uniba/tosem2021-personality-rep-package | src/data_preparation.py | data_preparation.py | py | 1,782 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 46,
"usage_type": "call"
}
] |
19707336879 | # # # -*- coding: utf-8 -*-
# # # @Time :2021/3/22 20:56
# # # @Author :huangzg28153
# # # @File :test.py
# # # @Software :PyCharm
# # import numpy as np
# # import pandas as pd
# # # type = [0,1,1,1,2,0,1,0,1,2,2,0]
# # # ser = [0,1,2,3,4,5,6,0,1,2,3,4]
# # # layer = [0,0,0,0,0,1,1,0,0,0,0,1]
# # # samp... | hzg0601/cn-annotation | HGT_OAG_cn-annotation/codes/test.py | test.py | py | 10,935 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 268,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 277,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 286,
"usage_type": "call"
},
{
"api_name": "multiprocessing... |
1544319758 |
from fastapi import FastAPI, UploadFile, Form,File
import cloudinary
import cloudinary.uploader
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=['*'],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Confi... | naman360/courtledger | scripts/main.py | main.py | py | 961 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "cloudinary.config",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
15206133090 | """Tests for utils."""
import unittest
import torch
from chemicalx.utils import segment_softmax
class TestPipeline(unittest.TestCase):
"""Test the utils."""
def test_segment_softmax(self):
"""Set up the test case with some data."""
logit = torch.FloatTensor([-0.5, -2.5, 0.5, 1.5])
... | AstraZeneca/chemicalx | tests/unit/test_utils.py | test_utils.py | py | 789 | python | en | code | 672 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.FloatTensor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.LongTensor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.LongT... |
1976029717 | from django.db import models
from equipas.models import Equipa
# Create your models here.
class Campeonato(models.Model):
campeonato_id = models.AutoField(primary_key=True)
modalidade = models.ForeignKey('Modalidade', models.DO_NOTHING)
nome = models.CharField(max_length=100)
epoca = models.CharField(m... | OliveiraRP/django-webapp | src/webapp/campeonatos/models.py | models.py | py | 1,039 | python | pt | code | 0 | github-code | 6 | [
{
"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.AutoField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
75131855228 |
from datetime import datetime
import pymysql
import json as j
import flask as f
from flask import Flask, redirect
from flask import request
from flask import send_from_directory
from flaskext.mysql import MySQL
app=Flask(__name__, static_url_path="")
#Povezivanje sa bazom(parametri)
mysql=MySQL(... | haribate98/Android | FlaskZaProjekat/main.py | main.py | py | 3,497 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flaskext.mysql.MySQL",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.request.g... |
14852199031 | # coding: utf-8
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import FairseqCriterion, register_criterion
from fairseq.criterions.label_smoothed_cross_entropy import LabelSmoothedCrossEntropyCriterion, label_smoothed_nll_loss
def root_... | jack-and-rozz/speculative_sampling | fairseq/extensions/criterions/spacefusion_loss.py | spacefusion_loss.py | py | 10,265 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.mean",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.mul",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.clamp",
"line_number": 17,
... |
18132737377 | # In this project, I'm going to desgin a user infterface for translating difference languages in real time
# Library Used: google trans, textblob
import googletrans
import textblob
import customtkinter
from tkinter import END
# Adding languages
language = googletrans.LANGUAGES
translator = googletrans.Translator()
... | JayChen1060920909/Projects | Real Time Translation.py | Real Time Translation.py | py | 2,191 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "googletrans.LANGUAGES",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "googletrans.Translator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tkinter.END",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "tki... |
39614840706 | #!/usr/bin/env python3
import sys
import os
import time
from datetime import datetime
import textwrap
import argparse
import platform
try:
import influxdb
except ImportError:
print("Trying to Install required module: influxdb\n")
os.system('python3 -m pip install influxdb')
time.sleep(5)
def fioinput(ip, po... | philcanman/fio-to-influxdb | fio_to_influxdb.py | fio_to_influxdb.py | py | 9,043 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_nu... |
31131850381 | import jwt
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import requests
import time
import uvicorn
from fastapi.middleware.cors import CORSMiddleware
# GLOBALS
app = FastAPI()
origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,... | BoogieManN8/FootballTrainerHelper | main.py | main.py | py | 5,139 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 36,
"usage_type": "name"
},
{
"api... |
70929712188 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 6 17:20:25 2023
@author: Gilberto
"""
""
# streamlit_app.py
import io
import base64
import streamlit as st
import pandas as pd
from datetime import datetime
from mortgagestyle_v2 import MortgageStyle
from straightline_v2 import StraightLineAmortization
f... | gdelacruzv/Amortization_calculator | Amortization_app_V4.py | Amortization_app_V4.py | py | 8,584 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.title",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "streamlit.header"... |
3844969159 | #! /usr/bin/python2
import pefile
import os
import array
import math
import pickle
import time
# from sklearn.externals import joblib
import joblib
import sys
from .ModulePredict import data_extraction
from .XKendworld import pure_import
import pymongo
import hashlib
myclient = pymongo.MongoClient('DATABASE_URL')
mydb... | fadzniaidil/imawa | malwr/CheckingFile.py | CheckingFile.py | py | 3,102 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
15912701941 |
"""
Class to deal with the pooling problem (differing amounts of tweets for various days)
"""
import torch
from torch import nn, tensor
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
#device = torch.device("cpu")
# will we have a device setting here? to ensure that the data is being processed... | biirving/michinaga | src/utils/pooling.py | pooling.py | py | 1,583 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
8224649664 | import json, requests, io
import pandas as pd
import numpy as np
import sys, argparse
#Managing input
parser = argparse.ArgumentParser(description='Script to download data of lung cancer from TCGA')
parser.add_argument('-t', '--type',
help='Sample type. Ej: NAD',
required='True',
choices=['NAD'... | josemaz/lung-mirnas | py/casemirna.py | casemirna.py | py | 1,900 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
25070333505 | from django.db import models
from django.contrib import admin
from django import forms
import purplship.server.providers.models as carriers
def model_admin(model):
class _Admin(admin.ModelAdmin):
list_display = ("__str__", "test", "active")
exclude = ["active_users", "metadata"]
formfield... | danh91/purplship | server/modules/core/purplship/server/providers/admin.py | admin.py | py | 1,114 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 13,
"usage_type": "attribute"
},
... |
28900645911 |
from keras.models import *
from keras.layers import *
import keras
from dlblocks.keras_utils import allow_growth , showKerasModel
allow_growth()
from dlblocks.pyutils import env_arg
import tensorflow as tf
from Utils import Trainer
class GiretTwoCell(keras.layers.Layer):
def __init__(self, cell_1 , cell_2 , nHi... | divamgupta/mtl_girnet | sequence_labeling/girnet.py | girnet.py | py | 3,916 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "dlblocks.keras_utils.allow_growth",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "keras.layers",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "Utils.Trainer",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "Util... |
39005103669 | #!/usr/local/bin/python
# The previous line (which must be the first one to work) makes the script self-executing,
# assuming that the system has the Python interpreter at path /usr/local/bin/python.
# This wants to be run in Python 3.
# Reference Pre-Processor
# Given: A string reference
# An integer horizon... | Moyaccercchi/bio-info-graph | python/2_reference_preprocessor/e2.py | e2.py | py | 4,348 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 51,
"usage_type": "call"
}
] |
22895124073 | import serial
import getch
serialport = serial.Serial("/dev/ttyS0")
serialport.baudrate = 115200
while True:
x = getch.getch()
if "W" == x.upper():
# Forwards
command = "+100+10015+00"
elif "S" == x.upper():
# Backwards
command = "-250-25015+00"
elif x == "A" or x == "a... | SinaRabiee/Digital_LAB_SSH | ssh-raspberry.py | ssh-raspberry.py | py | 597 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "getch.getch",
"line_number": 8,
"usage_type": "call"
}
] |
5556252937 | from data.legacy_datagen import eddy_forcing,spatial_filter_dataset
from data.high_res_dataset import HighResCm2p6
from constants.paths import FINE_CM2P6_PATH,TEMPORARY_DATA
from utils.xarray_oper import plot_ds,fromtorchdict
from data.load import load_grid,load_xr_dataset
import xarray as xr
import os
import numpy as... | CemGultekin1/cm2p6 | temp/data_comparison.py | data_comparison.py | py | 2,408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "data.legacy_datagen.spatial_filter_dataset",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "constants.paths.FINE_CM2P6_PATH",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.load.load_xr_dataset",
"line_number": 26,
"usage_type": "... |
11899942747 | import requests
import json
import datetime
# On importe la liste des jours pou lesquels on a déjà les données
with open("days.txt", "r") as days:
completed_days = days.read()
days.close()
# On importe la date d'aujourd'hui et on la formatte
today = datetime.datetime.now()
today = str(today).split(" ")
to... | Aarrn33/auto-wind-importer | get_today.py | get_today.py | py | 1,312 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
71455781947 | from flask import Flask,flash, render_template, url_for, request, redirect
import googleapiclient.discovery
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from gtts import gTTS
import heapq
import nltk
import string
from nltk.corpus import stopwords
from nltk... | Anmol567/Youtube_Comment_Reviewer | my_new_flask_app.py | my_new_flask_app.py | py | 6,600 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.datasets.imdb.get_word_index",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "keras.datasets.imdb",
"line_number": 34,
"usage_type": "name"
},
{
... |
11454255593 | import torch
import os
import chartmodel
from torch.utils.data import Dataset
import albumentations
from albumentations.pytorch import ToTensorV2 as AT
from charttype import dataset
batch_size = 32
num_workers = 4
if __name__ == '__main__':
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
... | ksvyatov/chart-recognizer | charttype/test.py | test.py | py | 1,473 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "albumentations.C... |
12712406140 | import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import scipy.cluster.hierarchy as scp
module_url = "https://tfhub.dev/google/universal-sentence-encoder/4"
text_model = hub.load(module_url)
def embed_compare(sentence):
text_embedding = text_model(sentence)
sim_mat = np.inner(tex... | mgkumar138/determiners-objdet | submodels/universal_sentence_encoder_analysis.py | universal_sentence_encoder_analysis.py | py | 2,035 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow_hub.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.inner",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.py... |
12010103629 | import time
from appium import webdriver
# 设备连接前置配置
descried_caps = dict()
descried_caps["platformName"] = "android"
descried_caps["platformVersion"] = "5.1.1"
descried_caps["deviceName"] = "emulator-5554"
descried_caps["appPackage"] = "com.bjcsxq.chat.carfriend"
descried_caps["appActivity"] = ".MainActivity"
# 实例化... | 1chott/appAutoStudy | code_D_04/code_03_常见api启动关闭app.py | code_03_常见api启动关闭app.py | py | 747 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
36065549678 | from dotenv import load_dotenv
import os
import requests
from pprint import pprint
from datetime import datetime, timedelta
from flight_data import FlightData
load_dotenv()
API_KEY = os.getenv("flight_search_api")
KIWI_ENDPOINT = "https://api.tequila.kiwi.com"
class FlightSearch:
#This class is responsible for ta... | Shivam29k/Python_Projects | flight_deals_alert/flight_search.py | flight_search.py | py | 3,453 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
14699326224 | # -*- coding: utf-8 -*-
import sys
from os import listdir
from os.path import isfile, join
import io
def extract_files(path):
onlyfiles = [f for f in listdir(path) if isfile(join(path, f))]
return onlyfiles
def get_text(onlyfiles,path):
text = ''
for file in onlyfiles:
f = io.open(joi... | SerPablo/redib_extractor | src/text_extractor.py | text_extractor.py | py | 683 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 2... |
39912096462 | import jwt
from django.contrib.auth import authenticate
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework.generics import GenericAPIView
from rest_framework import status
from smtplib import SMTPException
from .serializers import SignupSerializer, VerifyAccoun... | TEAM-ILSAN/yourpool-backend | users/views.py | views.py | py | 3,630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "serializers.SignupSerializer",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "emails.send_otp_via_email",
"line_number": 25,
"usage_type": "call"
... |
41207274862 | """Environment using Gymnasium API for Franka robot.
The code is inspired by the D4RL repository hosted on GitHub (https://github.com/Farama-Foundation/D4RL), published in the paper
'D4RL: Datasets for Deep Data-Driven Reinforcement Learning' by Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine.
This... | Skeli9989/Gymnasium-Robotics | gymnasium_robotics/envs/franka_kitchen/franka_env.py | franka_env.py | py | 6,370 | python | en | code | null | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "gymnasium.envs.mujoco.mujoco_env.MujocoEnv",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "o... |
16502029718 | #! /usr/bin/python3
import logging
import os
from urllib3 import make_headers
from telegram import (InlineKeyboardButton, InlineKeyboardMarkup, InputTextMessageContent,
ReplyKeyboardMarkup, ReplyKeyboardRemove)
from telegram.ext import (Updater, CommandHandler, MessageHandler, CallbackQueryHandle... | oleges1/meet_bot | bot/add_location.py | add_location.py | py | 2,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "telegram.Repl... |
41685965854 | from utils import Position
import copy
import pickle
def load_cache(file: str) -> dict:
try:
with open(file, 'rb') as f:
cache = pickle.load(f)
except FileNotFoundError:
cache = {}
return cache
def save_cache(cache, file: str):
with open(file, 'wb') as f:
pickle.... | Epico-Coder/TicTacToe | ai.py | ai.py | py | 2,357 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.Position",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "utils.Position",
"line_numb... |
22124073233 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#todo: stop words and symbols are mucking things up
import os
import os.path
import nltk
import operator
from nltk import word_tokenize
import collections
import math
import sklearn
import sklearn.cluster
import numpy as np
import pandas as pd
from sklearn.cluster import KM... | mcwatera/WWTBHT | wwtbht/pages/scripts/ppmi/mcwatera_fp.py | mcwatera_fp.py | py | 6,495 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getcwd",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 3... |
71239238267 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from collections import OrderedDict
import numpy
import json
import sys
import os.path
def readXYZ(filename):
# read molecular coordinates from .xyz file
# return list of symbols and list of coordinate
geom = []
with open(filename, "r") as f:
for ... | humeniuka/chem-queue | scripts/bagel_template.py | bagel_template.py | py | 3,245 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.OrderedDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.basename",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.p... |
16786521432 | from flask import render_template, flash, redirect, url_for, request, jsonify, current_app, g, send_from_directory
from flask_login import login_required, login_user, logout_user, current_user
from app import db
from app.helper import clean_list, normalize, convertArrayToString, convertStringToArray, prepFullAddressSea... | iamjasonkuo/househunt | app/project/routes.py | routes.py | py | 14,693 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask_login.current_user",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask_login.current_user.last_seen",
"line_number": 21,
"usage_ty... |
9136295998 | #1.创建一个文件夹
import os
from multiprocessing import Pool,Manager
def copyFileTask(name,oldFolderName,newFolderName,queue):
fr=open(oldFolderName+'/'+name)
fw=open(newFolderName+'/'+name,'w')
content=fr.read()
fw.write(content)
fr.close()
fw.close()
queue.put(name)
def main():
# 0.获取用户要输入... | pgg-pgg/pythonTest | 19-多进程文件copy.py | 19-多进程文件copy.py | py | 1,051 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.mkdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Manager",
... |
6836039340 | from fastapi import APIRouter, Depends, Response
from queries.games import GamesQueries
from typing import Union
router = APIRouter()
@router.get("/api/games/{game_id}")
def get_game(
game_id: int,
response: Response,
queries: GamesQueries = Depends(),
):
data = queries.get_game_by_id(game_id)
if... | tinatran079/netstix | games/routers/games.py | games.py | py | 1,682 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.Response",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "queries.games.GamesQueries",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fastapi.... |
38760601495 | import sys
import netCDF4
import math
import itertools
from functools import reduce
def array_pieces(ndarray, max_bytes=None, overlap=0):
'''
Generator to return a series of numpy arrays less than max_bytes in size and the offset within the complete data from a NetCDF variable
Parameters:
ndarray: ... | GeoscienceAustralia/geophys_utils | geophys_utils/_array_pieces.py | _array_pieces.py | py | 4,493 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 32... |
30366634041 | """ Simple polygon plot.
The UI allows you to change some of the attributes of the plot.
"""
import numpy as np
from traits.api import HasTraits, Instance, Range
from traitsui.api import View, UItem, Item, Group, HGroup, VGroup, spring
from chaco.api import Plot, ArrayPlotData, PolygonPlot
from enable.api import Co... | enthought/chaco | chaco/examples/demo/basic/polygon_plot_demo.py | polygon_plot_demo.py | py | 3,167 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "chaco.api.Plot",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "traits.ap... |
70097864829 | import pygame as pg
import sys
from pygame.sprite import Group
from constants import *
from settings import Settings
from ship import Ship
import functions as funcs
from stats import Stats
from button import Button
from score import Score
from sound import Sound
def main():
sound = Sound()
pg.init()
... | hoangdesu/Alien-Invasion-Pygame | main.py | main.py | py | 2,009 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sound.Sound",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_num... |
8522443313 | import requests
from io import BytesIO
import time
from PIL import UnidentifiedImageError
import warnings
class PlateClient:
def __init__(self, url: str):
self.url = url
def readNumber(self, im) -> str:
res = requests.post(
f'{self.url}/readNumber',
headers={'Conte... | alexej-anosov/aaa_backend_hw | src/plate_client.py | plate_client.py | py | 1,142 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
}
] |
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