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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32633364752 | from aiogram.dispatcher.filters import state
from aiogram.dispatcher import FSMContext
from main import bot, dp
from aiogram import types
from aiogram.types import ParseMode
from language_middleware import i18n
from sql import SQL
from config import DB_NAME
dp.middleware.setup(i18n)
_ = i18n.gettext
database = SQL(f... | 7Dany6/wave-me-bot | functions.py | functions.py | py | 3,965 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "main.dp.middleware.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "language_middleware.i18n",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "main.dp.middleware",
"line_number": 11,
"usage_type": "attribute"
},
{
"api... |
467939918 | import math
from binance_api import Binance
import config_trade
import statistics as st
import time
import requests
def SMA(data, period):
if len(data) == 0:
raise Exception("Empty data")
if period <= 0:
raise Exception("Invalid period")
interm = 0
result = []
nan_in... | OGKuz/binance_shift_bot | shift_bot.py | shift_bot.py | py | 7,247 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "math.isnan",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.nan",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "math.nan",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "math.isnan",
"line_number"... |
30677005666 | #--------------------import some mould-------------#
from flask import Flask ,render_template,request,redirect,url_for,flash,session
import os
import mysql.connector
db=mysql.connector.connect(
host="localhost",
user="root",
password="1889",
database="AirPort"
)
#----------StartProject------------#
#l... | zakariyae1889/AirportWeb | Views.py | Views.py | py | 19,623 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 5,
"usage_type": "name"
},
{
"api... |
16822733733 | import requests
# Replace this value with your own Discord API token
TOKEN = input("Enter your Discord API token: ")
headers = {
"Authorization": f"Bot {TOKEN}",
"User-Agent": "MyBot/1.0",
}
# Send a GET request to the Discord API to retrieve the webpack chunk data
response = requests.get("https://discordapp... | catgirlasn/discord | eavesdrop.py | eavesdrop.py | py | 1,607 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
29808972190 | import webapp2
import json
import nltk_utils
class MainHandler(webapp2.RequestHandler):
def renderJSON(self, dictionary):
dataJSON = json.dumps(dictionary)
self.response.headers["Content-Type"] = "application/json; charset=UTF-8"
self.response.write(dataJSON)
def get(self):
s... | sivu22/nltk-on-gae | GAE/main.py | main.py | py | 1,183 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk_utils.getTagsAndFreqDist",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nl... |
7291178560 | from pyramid.config import Configurator
from sqlalchemy import engine_from_config
from os import environ
from api.models.sql_automap import DBSession, Base
def main(global_config, **settings):
sqlalchemy_url_value = environ.get('STR_CONNECTION', 'mysql://root:pass@172.17.0.3:3306/matomo')
settings.update({'sq... | scieloorg/scielo-sushi-api | api/__init__.py | __init__.py | py | 1,052 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number"... |
10496870550 | from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2
from onnx_tf.backend import prepare as prepare_onnx_model
import tensorflow as tf
import argparse
import onnx
parser = argparse.ArgumentParser()
parser.add_argument("--onnx_dir", type=str, help="Path where ONNX models... | chansoopark98/Tensorflow-Keras-Object-Detection | convert_onnx_to_tf.py | convert_onnx_to_tf.py | py | 2,815 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "onnx.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "onnx_tf.backend.pr... |
5392824044 | import cv2
import os
import pydicom
import argparse
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--type', type=str, required=True,
choices=['train', 'test'], help='whether to convert train images or test images')
args = vars(parser.parse_args())
if args['ty... | sovit-123/Pneumonia-Detection-using-Deep-Learning | dcm_to_jpg.py | dcm_to_jpg.py | py | 1,011 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_n... |
3650828458 | from flask import Blueprint, request, send_from_directory, Response
from config import IS_LOCALHOST
import yaml
import dotenv
from os import getenv
dotenv.load_dotenv()
bp = Blueprint("plugin", __name__)
print('localhost started? ', IS_LOCALHOST)
AUTHO_CLIENT_URL = getenv('AUTHO_CLIENT_URL')
AUTHO_AUTHORIZATION_URL ... | matthewlouisbrockman/the_one_plugin | backend/plugin/plugin_routes.py | plugin_routes.py | py | 2,688 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.IS_LOCALHOST",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "os.getenv",
... |
16402536741 | import sqlite3 as s3
db_name = "/home/egws/ESCAPE_GAMES"
def create_table(room):
"""Create Table for a room"""
try:
db = s3.connect(db_name)
except:
print("Connexion à la base " + db_name + " impossible")
try:
cursor = db.cursor()
try:
cursor.execute("""
... | piment/egws | database.py | database.py | py | 2,445 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
74774265705 | import sys
import treeswift as ts
from sys import platform as _platform
import tempfile
from subprocess import Popen, PIPE
import pkg_resources
import time
import logging
def print_ident(tree):
for i in tree.root.children:
print(len(list(i.traverse_postorder())),)
print("")
def reestimate_backbone(opt... | balabanmetin/apples | apples/reestimateBackbone.py | reestimateBackbone.py | py | 4,332 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "treeswift.read_tree",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sys.platfor... |
22755402141 | import privateConfig
from selenium.webdriver.chrome.options import Options
URL_PISOS = "https://www.pisos.com"
URL_PLACE = "/venta/pisos-esparreguera/"
URL_LOG_IN = "https://www.pisos.com/Login"
USER_PISOS = "informe.casas@gmail.com"
PW_PISOS = "17InformeCasas"
USER_MAIL = "informe.casas@gmail.com"
PW_MAIL = "17Info... | paucampana/pisosScrapper | app/src/config.py | config.py | py | 1,095 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "privateConfig.PathNeeded",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "privateConfig.ChromeDriverPath",
"line_number": 31,
"usage_type":... |
21143828586 | import torch
from ipdb import set_trace
import torch.nn as nn
import torch.nn.functional as F
import logging
from torch.nn.utils.rnn import pad_sequence
from config import MyBertConfig
from src.models.bert_model import BaseBert
from src.models.flash import GAU
from src.ner_predicate import vote, span_predicate
from ... | KeDaCoYa/MKG-GC | entity_extraction/src/models/inter_bert_span.py | inter_bert_span.py | py | 16,287 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "src.models.bert_model.BaseBert",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "config.MyBertConfig",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
1243434549 | """
uncertainty_analysis.py
=========================================
Python script that performs uncertainty analysis on profile estimation.
"""
import time
import pandas as pd
import numpy as np
from src.instance import Instance
from src.optimization_profile_time import ProfileOptTime
from scipy.stats import dirichl... | carolinetjes/CFRrecruitment | uncertainty_analysis.py | uncertainty_analysis.py | py | 4,391 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.stats.dirichlet.rvs",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.stats.dirichlet",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
29465356973 | ## This module aims to compute the number and energy flux of DM particles from a supernova
import numpy as np
import matplotlib.pyplot as plt
from ..Step1_Kinematics import Kinematics
import scipy.integrate as integrate
#Particle Property
#Neutrino
M_nu = 0.32 # Unit:eV/c2
E_total_nu = 3.6e53*6.24150913e11 ... | CrazyAncestor/DM_Neutrino_Flux | old_codes/one_direction/Steps/Step2_DM_Flux/DM_flux.py | DM_flux.py | py | 2,634 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "Step1_Kinematics.Kinematics.energy_kicked_by_neutrino",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Step1_Kinematics.Kinematics",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.sum",
"line_number": 27,
"usage_type": "call"
}... |
31932657319 | from sympy import isprime
import random
import re
class ElGammal:
def __init__(self):
self.p=0
self.alpha=0
self.private_a=0
self.beta=0
# self.p=11
# self.alpha=2
# self.private_a=3
# self.beta=8
def genKey(self):
primes_list=[i for i ... | JuanDa14Sa/Cripto | Main/ElGammal.py | ElGammal.py | py | 3,154 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sympy.isprime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line... |
26946887509 | import numpy as np
import rogues
import scipy.linalg as sl
def condex(n, k=4, theta=100):
"""
CONDEX `Counterexamples' to matrix condition number estimators.
CONDEX(N, K, THETA) is a `counterexample' matrix to a condition
estimator. It has order N and scalar parameter THETA (default 100).... | macd/rogues | rogues/matrices/condex.py | condex.py | py | 2,556 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "rogues.triw",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 5... |
18046654139 | import pandas as pd
from konlpy.tag import Komoran
import tensorflow as tf
import numpy as np
from keras.layers import Dense, Conv1D, GlobalMaxPooling1D, Embedding, Dropout
from keras.models import Sequential
from keras.layers import LSTM, Bidirectional
from keras.models import Sequential, load_model
from keras.metrics... | jaehyun1209/Deeplearning_AbuseFind | PreProcessAndModel.py | PreProcessAndModel.py | py | 4,595 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "konlpy.tag.Komoran",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras... |
3532508808 | import os
os.system('cls')
from math import sqrt
from functools import reduce
class chofer():
def __init__(self, nombreCompleto):
self.__nombreCompleto = nombreCompleto
def getNombreCompleto(self):
return self.__nombreCompleto
class camion():
def __init__(self, patente, lit... | IgnacioVelliz/Programa-Python | Parcial2.py | Parcial2.py | py | 5,595 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "os.system",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 137,
"usage_type": "call"
}
] |
38013843478 | #
# Author: Denis Tananaev
# File: makeTFrecords.py
# Date:9.02.2017
# Description: tool for the tfrecords convertion of the SUN3D dataset
#
import numpy as np
import skimage.io as io
import scipy.misc
import tensorflow as tf
def centered_crop(image,new_w,new_h):
'''Make centered crop of the image'''
height... | Dtananaev/DepthNet | tfCNN/data_processing/tools/makeTFrecords.py | makeTFrecords.py | py | 2,914 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "scipy.misc.misc.imresize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.misc.misc",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "scipy.misc",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "scipy.misc.m... |
38115229575 | from app import app
from flask import jsonify, request
from models import Host, HostSchema
from scheduling import th
@app.route('/api/1.0/test')
def index():
return 'ok'
@app.route('/api/1.0/host', methods=['POST'])
def create_host():
if request.methods == 'POST':
ip = (request.json['ip'])... | evgeneh/pinger_back_py | view.py | view.py | py | 2,078 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.app.route",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.methods",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"l... |
27969617509 | # type: ignore
from flask import render_template, redirect, url_for, session
from main import app, db
from admin import admin
from products.models import Product
import os
app.register_blueprint(admin)
@app.route('/')
def index():
products=Product.query.all()
return render_template('index.html', produc... | muchirajunior/flask-ecommerce | routes.py | routes.py | py | 904 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "main.app.register_blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "admin.admin",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "main.app",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "products.models",
... |
17156680991 | import torch
import numpy as np
from transformers import AutoTokenizer
from tqdm import tqdm
def get_lm_embeddings(mapper_model, test_df, trained_model_name, use_first_token_only = False):
mapper_model.set_parameters()
# Load pre-trained model tokenizer (vocabulary)
tokenizer = AutoTokenizer.from_pretrain... | Peter-Devine/Feedback-Mapping | utils/bert_utils.py | bert_utils.py | py | 2,182 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 30,
"usage_type": "cal... |
37897597748 | """
practice advance read-write options & strategies with pandas
"""
import pandas as pd
import matplotlib.pyplot as plt
def start():
"""set options for pandas"""
options = {
'display': {
'max_columns': None,
'max_colwidth': 25,
'expand_frame_repr': False, # Don't ... | nguyentu1602/pyexp | pyexp/pandas_practice.py | pandas_practice.py | py | 4,025 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.set_option",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
4123119834 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# In[2]:
dataset = pd.read_csv(r'E:\Udemy corurse\[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science\1.Machine Learning A-Z New\Part 2 - Regression\Section 4 - S... | Rizwan-khan-7/Machine-Learning | Regression_Analysis_Part I.py | Regression_Analysis_Part I.py | py | 1,045 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 53,
"usage_type": "call"
... |
20338749336 | import cv2
import numpy as np
# VARIABLES
# True while mouse button down, False while mouse button up
drawing = False
ix,iy = -1,-1
# FUNCTION
def draw_rectangle(event, x,y, flags, param):
global ix,iy,drawing
if event == cv2.EVENT_LBUTTONDOWN:
drawing = True
ix,iy = x,y
elif event == cv2.EVEN... | eliottjohnson/VS_code | draw_circle_with_mouse.py | draw_circle_with_mouse.py | py | 798 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.circle",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.... |
24614073845 | import requests # for api calls
import time # for converting epoch to timedate format
import pprint as pp # for debugging
def convert_epoch_to_datetime(epoch):
return time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(epoch))
def get_news(ticker, startDate, endDate):
"""
Purpose: Get a list of news ur... | ajsalagundi/Stock_Intelligence | data_application/web_scrapers/news_articles_retriever.py | news_articles_retriever.py | py | 1,137 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.strftime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
}
] |
13170391452 | # this file exists to help tune the parameters of the stressor functions that put learners in different states
# it doesn't make sense to put the same load on a Jetson Nano as on a raspberry pi. What would moderately inconvenience the Nano would completely cripple the pi
# for this reason, we need to tune stressor para... | DuncanMays/multi_orchestrator_pl | tests/tune_stressors.py | tune_stressors.py | py | 1,205 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "axon.client.RemoteWorker",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "axon.client",
... |
42578862241 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import importlib
importlib.reload(sys)
import time
import requests
import csv
url = "https://rdap.registro.br/domain/"
domains = ['stz.com.br',
'viasullogistica.com',
'eletronor.com',
'intelbras.com.br',
'bmlog.com.br',
'blueticket.com.br',
... | fiilipeneto/pandorasbox | Busca CNPJ.py | Busca CNPJ.py | py | 1,758 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "importlib.reload",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_... |
15184343497 | """Advent of Code - Day 1."""
from pathlib import Path
from typing import List
FILE_PATH = Path(__file__).parent.parent / "data" / "day_1.txt"
def find_elves_most_calories(calories: List, n: int) -> int:
"""Fat elf detection.
Find the elf carrying the most calories.
Args:
calories: Calorie list... | albutz/aoc-2022 | src/day_1.py | day_1.py | py | 1,360 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
42558176076 | #!/usr/bin/env python3
## Estimates errors using Monte Carlo sampling
# Hamish Silverwood, GRAPPA, UvA, 23 February 2015
import numpy as np
import gl_helper as gh
import pdb
import pickle
import sys
import numpy.random as rand
import matplotlib.pyplot as plt
#TEST this will eventually go outside
def ErSamp_gauss_l... | PascalSteger/gravimage | programs/gi_mc_errors.py | gi_mc_errors.py | py | 2,025 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.loadtxt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.random.random",
... |
9246343257 | from typing import Any
from fastapi import APIRouter, HTTPException, status
from tortoise.exceptions import DoesNotExist
from project.app.src.suppliers.service import create
from project.app.src.suppliers.service import delete
from project.app.src.suppliers.service import get_all
from project.app.src.suppliers.servic... | ademchenkov/wm | project/app/src/suppliers/router.py | router.py | py | 3,086 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "project.app.src.suppliers.service.get_all",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "fastapi.status.HTTP_200_OK",
"line_number": 21,
"usage_type": "attribute"
}... |
37849511311 | #!/usr/bin/env python
#
# lib.py
#
# Helper code for CLI for interacting with switches via console device
#
try:
import click
import re
import swsssdk
import subprocess
import sys
except ImportError as e:
raise ImportError("%s - required module not found" % str(e))
DEVICE_PREFIX = "/dev/ttyUSB... | liang2biao/official_sonicbuild_201911_all | src/sonic-utilities/consutil/lib.py | lib.py | py | 4,829 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "click.echo",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line... |
694104358 | from .models import Event, Slot, SignUp
from groups.methods import get_user_group_membership, group_to_json
from authentication.methods import user_to_json
from common.parsers import parse_datetime_to_epoch_time
# Constants
from common.constants import (
EVENT_ID,
TITLE,
DESCRIPTION,
START_DATE_TIME,
... | cs3216-2021-a3-group12/slotify-backend | slotify/events/methods.py | methods.py | py | 4,696 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "models.Event.objects.filter",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "models.Event.objects",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "models.Event",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "mo... |
15205290527 | from rest_framework import permissions
from rest_framework.views import Request, View, status
from championships.models import Championship
from teams.models import Team
from datetime import datetime
class IsChampionshipOwner(permissions.BasePermission):
def has_object_permission(
self, request: Request, ... | gamer-society-org/gamer-society | championships/permissions.py | permissions.py | py | 4,861 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.permissions.BasePermission",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.permissions",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rest_framework.views.Request",
"line_number": 10,
"usage_type": "... |
2863809841 | import requests
import lxml.etree
import re
session = requests.Session()
response = session.get('http://www.baidu.com')
content = response.content.decode()
# print(content)
# -------------解析
doc = lxml.etree.HTML(content)
tree = doc.getroottree()
nodes = tree.xpath('//title/text()')
for i in nodes:
print(i)
| XiaJune/A-small | miller_cre/baidu.py | baidu.py | py | 323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.Session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "lxml.etree.etree.HTML",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lxml.etree.etree",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "lxml.etre... |
20219566108 | import os
from . import utils
import ipywidgets as widgets
from IPython.display import display, clear_output, Javascript
class FileBrowser(object):
def __init__(self, funcName):
self.path = os.getcwd()
self._update_files()
self._chosenFileName = None
self.funcName = funcName
@p... | gudasergey/pyFitIt | pyfitit/fileBrowser.py | fileBrowser.py | py | 2,642 | python | en | code | 28 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 2... |
25718178961 | # This exports all networks and their base attributes from an organization to a file
# and then imports them to another organization.
#
# You need to have Python 3 and the Requests module installed. You
# can download the module here: https://github.com/kennethreitz/requests
# or install it using pip.
#
# To ... | meraki/automation-scripts | copynetworks.py | copynetworks.py | py | 8,232 | python | en | code | 361 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"l... |
15991467145 | import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.models.layers import DropPath, trunc_normal_
import math
import numpy as np
from models.head import *
up_kwargs = {'mode': 'bilinear', 'align_corners': False}
def load_state_dict(module, state_dict, strict=False):
"""Load state_dict to... | zyxu1996/Efficient-Transformer | models/volo.py | volo.py | py | 34,846 | python | en | code | 67 | github-code | 36 | [
{
"api_name": "torch.nn.functional.interpolate",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "torch... |
44539221196 | from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import uuid
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///employees.db'
db = SQLAlchemy(app)
ma = Marshmallow(app)
# Модель данных для сотрудника
class Employee(db.M... | InKarno27/CRUD_on_Python | main.py | main.py | py | 3,267 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_marshmallow.Marshmallow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "u... |
22861904779 | import pandas as pd
import datetime as dt
from sodapy import Socrata
from airflow.hooks.base_hook import BaseHook
class Extract:
chicago_crime_portal = "https://data.cityofchicago.org/resource/ijzp-q8t2.json"
def __init__(self, start_time , end_time ) -> None:
self.start_time = start_time
self... | prabha-git/airflow | dags/chicago_crime_etl/extract.py | extract.py | py | 1,041 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sodapy.Socrata",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "airflow.hooks.base_hook.BaseHook.get_connection",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "airflow.hooks.base_hook.BaseHook",
"line_number": 12,
"usage_type": "name"... |
39783045715 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="diss-iamhectorotero",
version="0.0.1",
author="Hector Otero",
author_email="7hector2@gmail.com",
description="A package to train RNN in physical microworlds in a supervised or RL manner",
... | iamhectorotero/learning-physical-properties-with-rnns | libraries/setup.py | setup.py | py | 702 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
10358617907 | from __future__ import annotations
import math
import os
import pygame
from pgbot import emotion
EMOTIONS_PER_ROW = 2
NEGATIVE_EMOTIONS = {"bored": "exhausted", "happy": "sad"}
EMOTION_COLORS = {
"happy": (230, 28, 226),
"sad": (28, 28, 230),
"anger": (230, 36, 18),
"bored": (230, 181, 18),
"exh... | gresm/PygameCommunityBot | pgbot/commands/utils/vibecheck.py | vibecheck.py | py | 6,443 | python | en | code | null | github-code | 36 | [
{
"api_name": "math.cos",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 89,
... |
19029066252 | import logging
import requests
import time
import json
from cifsdk.exceptions import AuthError, TimeoutError, NotFound, SubmissionFailed, InvalidSearch, CIFBusy
from cifsdk.constants import VERSION, PYVERSION, TOKEN
from pprint import pprint
from base64 import b64decode
from cifsdk.client.plugin import Client
import os... | csirtgadgets/cifsdk-py-v3 | cifsdk/client/http.py | http.py | py | 8,165 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "cifsdk.constants.PYVERSION",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 19,
"usage_type": "attribute"
... |
73349162343 | import pygame
pygame.init()
screen = pygame.display.set_mode((720, 480))
clock = pygame.time.Clock()
FPS = 60
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
ballsurface = pygame.Surface((50,50))
ballsurface.set_colorkey((0,0,0))
pygame.draw.circle(ballsurface, (255,0,0), (25,25),25)
ballsurface... | Tevvur/lab8 | lab8(1).py | lab8(1).py | py | 1,257 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cloc... |
5953172719 | try:
from grove import grove_temperature_humidity_aht20
from grove.adc import ADC
from gpiozero import DigitalOutputDevice
import chainable_rgb_direct
except:
grove_temperature_humidity_aht20 = None
ADC = None
DigitalOutputDevice = None
chainable_rgb_direct = None
import random
class Plant:
def __ini... | Xermax3/ContainerFarm | Hardware/plant.py | plant.py | py | 2,790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "grove.grove_temperature_humidity_aht20",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "grove.adc.ADC",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "gpiozero.DigitalOutputDevice",
"line_number": 9,
"usage_type": "name"
},
{
"ap... |
74330392745 | # How to detect specific color inside python
# from cv2 import getTrackbarPos
import numpy as np
import cv2 as cv
# img=cv.imread("resources/image.png")
# Convert in HSV (Hue, Saturation, Value)
# hue_img=cv.cvtColor(img,cv.COLOR_BGR2HSV)#rang barangi sakal my chla gye ga jb show kary gye
def slider():
... | amirasghar123/Opencv-vision | 20_chptr.py | 20_chptr.py | py | 1,970 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.namedWindow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.resizeWindow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackbar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackba... |
3460979087 | import pickle
import os
from bs4 import BeautifulSoup
from numpy import vectorize
import spacy
import unidecode
from word2number import w2n
import os
import pickle
#import contractions
nlp = spacy.load('en_core_web_lg')
# exclude words from spacy stopwords list
deselect_stop_words = ['no', 'not']
for w in deselect_st... | abde0103/H-index-prediction | Code/PreprocessingAndGetIndices.py | PreprocessingAndGetIndices.py | py | 4,195 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "spacy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "unidecode.unidecode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "word2number.w2n.word... |
13990583368 | """
While the previous DFS approach works, it can potentially traverse long
sections of the graph without a real need. In order to improve further,
we can leverage the previously ignored properties of the similar relation: it
is an equivalence relation.
Equivalence relations bring a natural partition to the set, where... | dariomx/topcoder-srm | leetcode/zero-pass/google/sentence-similarity-ii/Solution1.py | Solution1.py | py | 2,622 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "itertools.izip",
"line_number": 87,
"usage_type": "call"
}
] |
27786608731 | # -*- coding: utf-8 -*-
# * Credits:
# *
# * original Audio Profiles code by Regss
# * updates and additions through v1.4.1 by notoco and CtrlGy
# * updates and additions since v1.4.2 by pkscout
import xbmc
import json
import os
import sys
from resources.lib.fileops import *
from resources.lib.xlogger import Logge... | pkscout/script.audio.profiles | resources/lib/audioprofiles.py | audioprofiles.py | py | 10,698 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "resources.lib.apsettings.loadSettings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "resources.lib.apsettings.loadSettings",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "resources.lib.xlogger.Logger",
"line_number": 30,
"usage_type... |
74267315625 | # -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | line/line-bot-sdk-python | linebot/models/recipient.py | recipient.py | py | 2,083 | python | en | code | 1,739 | github-code | 36 | [
{
"api_name": "future.utils.with_metaclass",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "abc.ABCMeta",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "base.Base",
"line_number": 25,
"usage_type": "argument"
}
] |
74642998183 | # -*- coding: utf-8 -*-
"""
@author: Florian Koch
@license: All rights reserved
"""
import pandas as pd
import json
with open('../../data/city_of_zurich/aussichtspunkt.json') as data_file:
data = json.load(data_file)
df = pd.io.json.json_normalize(data, ['features', ['geometry', 'coordinates']],['name', ['features... | limo1996/ETH-DataScience | src/preprocess/aussichtspunkt.py | aussichtspunkt.py | py | 646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.io.json.json_normalize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.io",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.merge",... |
12813950306 | # 연구소
import sys
from itertools import combinations
from collections import deque
import copy
input = sys.stdin.readline
N,M = map(int,input().split())
board = []
for i in range(N):
board.append(list(map(int,input().split())))
virus = []
comb = []
for i in range(N):
for j in range(M):
if board[i][j] =... | Girin7716/PythonCoding | Etc/PS/Q16.py | Q16.py | py | 1,217 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "itertools.combinations"... |
31541638918 | import os
from setuptools import setup
def read_project_file(path):
proj_dir = os.path.dirname(__file__)
path = os.path.join(proj_dir, path)
with open(path, 'r') as f:
return f.read()
setup(
name = 'pyronic',
version = '0.1.1',
description = 'Suppress command output on success',
lo... | JonathonReinhart/pyronic | setup.py | setup.py | py | 936 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
38716436502 | #!/usr/bin/env python3
import re
from collections import defaultdict
from pprint import pprint
allergen_sets = defaultdict(list) # allergen => list of sets of foods
with open('input.txt', 'r') as infile:
line_re = re.compile(r'((\w+\s+)+)\(contains(.*)\)')
for line in infile:
m = line_re.match(line)
... | lvaughn/advent | 2020/21/food_list_2.py | food_list_2.py | py | 1,264 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_n... |
70955301864 | """Add description for 15 puzzle
Revision ID: bdeb38c37fg1
Revises: 05923bad79cf
Create Date: 2020-10-23 14:23:00.123969
"""
from sqlalchemy.sql import table, column
from sqlalchemy import String
from alembic import op
# revision identifiers, used by Alembic.
revision = 'bdeb38c37fg1'
down_revision = '05923bad79cf'
... | euphwes/cubers.io | migrations/versions/047_bdeb38c37fg1_add_desc_to_15_puzzle.py | 047_bdeb38c37fg1_add_desc_to_15_puzzle.py | py | 1,041 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "sqlalchemy.sql.table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "alem... |
17849208142 | import torch
import torch.nn as nn
from prodict import Prodict
class ODEFunc(nn.Module):
def __init__(self, dims: Prodict, device: str = torch.device("cpu")):
"""The Neural ODE decoder Module of TDNODE. Neural network function that considers as input
a tumor state and p-dimensional parameter encod... | jameslu01/TDNODE | src/model/SLD/ode_func.py | ode_func.py | py | 3,303 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "prodict.Prodict",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_n... |
3110630730 | """
Creator:
Dhruuv Agarwal
Github: Dhr11
"""
import os
import numpy as np
import torch
import torch.nn as nn
from torch.utils import data
from tqdm import tqdm
from Voc_loader import VOCLoader
from Unet_model import Unet
from metrics import custom_conf_matrix
def train():
device = torch.device("cuda" if tor... | Dhr11/Semantic_Segmentation | Main_src.py | Main_src.py | py | 3,992 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data... |
32413559312 | import abc
from typing import Callable, Dict, List, Optional, Union
import torch
import torchmetrics
from pytorch_lightning import LightningModule, Trainer
from pytorch_lightning.loggers.logger import Logger
from torch.utils.data import DataLoader, Dataset
from renate import defaults
from renate.data.datasets import ... | awslabs/Renate | src/renate/evaluation/evaluator.py | evaluator.py | py | 7,525 | python | en | code | 251 | github-code | 36 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "renate.models.RenateModule",
"line_number": 34,
"usage_type": "name"
},
{
"api_nam... |
40027566811 | import cv2
import os
import imutils
import time
import numpy as np
from matplotlib import pyplot as plt
MODEL_MEAN_VALUES = (78.4263377603, 87.7689143744, 114.895847746)
age_list = [
'(0, 2)', '(4, 6)', '(8, 12)', '(15, 20)', '(25, 32)', '(38, 43)',
'(48, 53)', '(60, 100)'
]
gender_list = ['Male', 'Female']
... | cNille/Agender | prediction.py | prediction.py | py | 2,143 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.dnn.readNetFromCaffe",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn.readNetFromCaffe",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.dn... |
73969955624 | import torch
from torch import nn
import torch.nn.functional as F
from onerl.networks.norm_layer import normalization_layer
class PreactResBlock(nn.Module):
def __init__(self,
in_channels: int,
out_channels: int,
stride: int,
norm_type: str,
... | imoneoi/onerl | onerl/networks/resnet.py | resnet.py | py | 2,604 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "onerl.networks.norm_layer.normalization_layer",
"line_number": 18,
"usage_type": "call"
},
{
"api_nam... |
719879844 | from collective.honeypot import _
from collective.honeypot.config import ACCEPTED_LOG_LEVEL
from collective.honeypot.config import DISALLOW_ALL_POSTS
from collective.honeypot.config import EXTRA_PROTECTED_ACTIONS
from collective.honeypot.config import HONEYPOT_FIELD
from collective.honeypot.config import IGNORED_FORM_F... | collective/collective.honeypot | collective/honeypot/utils.py | utils.py | py | 5,278 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "plone.restapi.deserializer.json_body",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collective.honeypot.config.HONEYPOT_FIELD",
"line_number": 37,
"usage_type": "name... |
938560702 | import json
import jieba
import os
import argparse
frequency = {}
word2id = {"PAD": 0, "UNK": 1}
min_freq = 10
def cut(s):
arr = list(jieba.cut(s))
for word in arr:
if word not in frequency:
frequency[word] = 0
frequency[word] += 1
return arr
if __name__ == "__main__":
... | china-ai-law-challenge/CAIL2020 | sfks/baseline/utils/cutter.py | cutter.py | py | 1,406 | python | en | code | 150 | github-code | 36 | [
{
"api_name": "jieba.cut",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
32065161333 | import random
from django.shortcuts import render , redirect , get_object_or_404
from django.http import HttpResponse
from django.contrib.auth.models import User , auth
from django.contrib import messages
from .models import Profile, Post, Likepost, FollowersCount , Notification , Comment
from django.contrib.auth.decor... | ahmedradwan21/ATR_Social | core/views.py | views.py | py | 13,622 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": ... |
4965329236 | from settings.database import get_all_resumes, add, clear_table
from settings.config import ProfessionStep, ResumeGroup
from settings.tools import group_steps_to_resume
import locale
from typing import NamedTuple
from operator import attrgetter
from datetime import datetime, date
from rich.progress import track
... | SalomanYu/Trajectory | test.py | test.py | py | 3,493 | python | ru | code | 1 | github-code | 36 | [
{
"api_name": "locale.setlocale",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "locale.LC_TIME",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "da... |
11025748669 | """user token nonce
Revision ID: 71503b29c05a
Revises: aac9a548d9f5
Create Date: 2018-05-04 13:42:42.222974
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '71503b29c05a'
down_revision = 'aac9a548d9f5'
branch_labels = None
depends_on = None
def upgrade():
... | akahard2dj/Blackberry | migrations/versions/71503b29c05a_user_token_nonce.py | 71503b29c05a_user_token_nonce.py | py | 661 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
16969152957 | # -*- coding: utf-8 -*-
from jsonfield.fields import JSONField
from natasha import (
Segmenter,
MorphVocab,
MoneyExtractor,
NamesExtractor,
NewsEmbedding,
NewsMorphTagger,
NewsSyntaxParser,
NewsNERTagger,
PER,
LOC,
ORG
)
from natasha.grammars.date import Date, MONTHS, MO... | infolabs/django-edw | backend/edw/models/mixins/nlp/ner.py | ner.py | py | 9,781 | python | ru | code | 6 | github-code | 36 | [
{
"api_name": "natasha.grammars.date.MONTHS.__getitem__",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "natasha.grammars.date.MONTHS",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "natasha.grammars.date.MONTHS.get",
"line_number": 43,
"usage_type":... |
995230871 | # Authors: Antoine Ginies <aginies@suse.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distri... | aginies/virt-scenario | src/virtscenario/configuration.py | configuration.py | py | 22,528 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "os.path.expanduser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
19416762509 | from check_your_heuristic.dataset.ReCoRDDataset import ReCoRDDataset
from check_your_heuristic.heuristics.Heuristic import BaseHeuristicSolver
from typing import Dict, Any, List
import pandas as pd
import string
import numpy as np
import logging
class ReCoRDHeuristics(BaseHeuristicSolver):
def __init__(self, conf... | tatiana-iazykova/check_your_heuristic | check_your_heuristic/heuristics/ReCoRDHeuristics.py | ReCoRDHeuristics.py | py | 7,723 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "check_your_heuristic.heuristics.Heuristic.BaseHeuristicSolver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
... |
19698435188 | import numpy as np
from numpy import ma
import matplotlib.pyplot as plt
import matplotlib.patches as mp
from matplotlib.collections import PatchCollection
m_s = 4
m_e = 1
x_s, y_s = 0, 0
x_e, y_e = 2, 0
x_c, y_c = (m_s*x_s+m_e*x_e)/(m_s+m_e), (m_s*y_s+m_e*y_e)/(m_s+m_e)
gamma = 1.0
x = np.linspace(-2.5, 4, 1000)
y = ... | JakeI/PlaneteSimulator | LagrangePoints/lagrangePoints.py | lagrangePoints.py | py | 2,767 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_n... |
31063781935 |
from ..utils import Object
class MessageForwardInfo(Object):
"""
Contains information about a forwarded message
Attributes:
ID (:obj:`str`): ``MessageForwardInfo``
Args:
origin (:class:`telegram.api.types.MessageForwardOrigin`):
Origin of a forwarded message
dat... | iTeam-co/pytglib | pytglib/api/types/message_forward_info.py | message_forward_info.py | py | 2,080 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "utils.Object",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.Object.read",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "utils.Object",
"line_number": 43,
"usage_type": "name"
}
] |
73391053864 | from gym import spaces
from gym import Env
import numpy as np
from pathlib import Path
from PIL import Image
from gym.utils import seeding
from spg.view import TopDownView
import arcade
from spg.playground import Playground, Room
from spg.playground.collision_handlers import get_colliding_entities
from spg.utils.defi... | aomerCS/IN3007 | gym_env/envs/perturbation_world.py | perturbation_world.py | py | 6,057 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "spg.playground.Playground",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "spg.playground.collision_handlers.get_colliding_entities",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "resources.apple.Apple",
"line_number": 27,
"usage_type... |
22057061997 | import pandas as pd
import helper
import weaviate
# initiate the Weaviate client
client = weaviate.Client("http://localhost:8080")
client.timeout_config = (3, 200)
# empty schema and create new schema
client.schema.delete_all()
schema = {
"classes": [
{
"class": "Wine",
"properties... | weaviate/weaviate-examples | semanticsearch-transformers-wines/import.py | import.py | py | 2,091 | python | en | code | 253 | github-code | 36 | [
{
"api_name": "weaviate.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "helper.generate_uuid",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "helper.log",
... |
6862212397 | # Utilities
############################################################################
# Imports
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
import pickle
############################################################################
# Function to read the embedding_dataset from... | TuvalZit/Capstone-Project-23-1-R-18 | GUI/Backend/GetEmbedding.py | GetEmbedding.py | py | 1,878 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_number": 39,
"usage_type": "call"
}
] |
36127494424 | from fastapi import FastAPI, Path
from typing import Optional
from pydantic import BaseModel
class Item(BaseModel):
name: str
price: float
color: Optional[str] = None
inventory = {
1: {
'name': 'Milk',
'price': 3.99,
'color': 'white'
}
}
app = FastAPI()
@app.get('/')
asy... | Kelvingandhi/kafka_sample | test_main.py | test_main.py | py | 761 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fastapi.Path",
"... |
23992985122 | '''
542. 01 Matrix
https://leetcode.com/problems/01-matrix/
'''
from collections import defaultdict, deque
from typing import List
# Approach 1: BFS from '1' columns to '0'
# The problem is we do BFS for 1, which is sub-optimal
class Solution:
def updateMatrix(self, matrix: List[List[int]]) -> List[List[int]]:
... | asset311/leetcode | bfs/01_matrix.py | 01_matrix.py | py | 2,531 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"li... |
29981196912 | # Example: echo server, using StreamServer
import logging
import argparse
from gruvi import get_hub, util
from gruvi.stream import StreamServer
logging.basicConfig()
parser = argparse.ArgumentParser()
parser.add_argument('port', type=int)
args = parser.parse_args()
def echo_handler(stream, protocol, client):
p... | cocagne/gruvi | examples/echoserver1.py | echoserver1.py | py | 667 | python | en | code | null | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gruvi.util.saddr",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gruvi.uti... |
3315546924 | import nltk
def nouns_transform(sentence):
tokenized = nltk.word_tokenize(sentence)
def is_noun (pos):
return pos[:2] == 'NN'
return [word for (word, pos) in nltk.pos_tag(tokenized) if is_noun(pos)]
def render_template(template_name='html pages/home.html', context={}):
html_str = ""
wit... | valya007/junior_technical_test | webapp.py | webapp.py | py | 1,171 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 9,
"usage_type": "call"
}
] |
18736574490 | from django import forms
from ..contrib.sysdate import dateFromLocal
class DateBigInput(forms.DateInput):
def value_from_datadict(self, data, files, name):
valData = super().value_from_datadict(data, files, name)
return dateFromLocal(valData)
def get_context(self, name, value, attrs):
... | MindKafuu/demo | demoWeb/extends/formext.py | formext.py | py | 4,630 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.DateInput",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "contrib.sysdate.dateFromLocal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "d... |
28700017158 | #aoc20150101
import pathlib
import sys
def parse(path):
return list(pathlib.Path(path).read_text())
def solve(puzzleInput):
finalFloor = 0
for datum in puzzleInput:
if datum == '(':
finalFloor += 1
else:
finalFloor -= 1
return finalFloor
if __name__ == "__main__":
for path in sys.ar... | dbm19/aoc2015 | aoc201501/aoc20150101.py | aoc20150101.py | py | 401 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
}
] |
69846477224 | import logging
from random import randint
from time import sleep
from typing import List
import pandas as pd
import requests # type: ignore
from models.auction import Lot, Lots
from models.item import Item, Items
from models.media import Media, Medias
from scrape.item_scraper import ItemScraper
from scrape.lot_scrape... | lassebenni/scraper-wow-auctionhouse | scrape/auction_scraper.py | auction_scraper.py | py | 4,503 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.aws.S3Connector",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrape.lot_scraper.LotScraper",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
26285045448 | from functools import wraps
from . import database as db
from .reddit import user_exists, subreddit_exists
from sqlalchemy.exc import IntegrityError
from . import constants as c
from .template import get_template
from .utils import message_url
from sqlalchemy.orm import joinedload
_COMMANDS = {}
_MENTION_COMMANDS = {... | necessary129/InformsYouBot | InformsYouBot/commands.py | commands.py | py | 6,941 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "template.get_template",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "template.get_template",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "template.get_template",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "te... |
9173707874 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
from the month of edge deletion, find the SR before, at the time and after
"""
from collections import defaultdict
import codecs
import os
import json
import numpy as np
IN_DIR = "../../../DATA/General/MO_MENT_networks"
os.chdir(IN_DIR)
F_IN = "mention_edges_monthly_... | sanja7s/SR_Twitter | src_graph/create_MO_MENT_networks.py | create_MO_MENT_networks.py | py | 1,146 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
}
] |
71713008103 | import os
import time
from dotenv import dotenv_values
from selenium import webdriver
from selenium.webdriver import Chrome
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.service import Service
from utilities.commons.exceptions import DriverSetupFailedException
from utilities.co... | HarshDevSingh/python-behave | environment.py | environment.py | py | 4,291 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utilities.commons.context.Context",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 32,
"usage_type": "call... |
19021910953 | from collections import Iterable
l = isinstance('abc',Iterable)
print(l)
L=list(range(1,11))
print(L)
L2 = [x * x for x in range(1,20)]
print(L2)
L3 = [m + n for m in 'abc' for n in 'hkl']
print(L3)
import os
L4 = [d for d in os.listdir('.')]
print('all dir',L4)
L5 = ['Hello','World',18,'Apple',None]
L6 = [s.lower... | jacena/python3 | iterable.py | iterable.py | py | 484 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.Iterable",
"line_number": 2,
"usage_type": "argument"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
}
] |
25412177948 | from ..shared.list_arithmatic import add
from ..shared.digits import to_digits
from itertools import permutations
from ..shared.solver import Solver
def digit_sum(n:int)->int:
return add(to_digits(n))
def digit_sums(biggest: int):
pool = list(range(0,biggest))
for a, b in permutations(pool,2):
po... | bathcat/pyOiler | src/pyoiler/problems/euler056.py | euler056.py | py | 1,033 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "shared.list_arithmatic.add",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "shared.digits.to_digits",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
14696977373 | import json
import os.path as osp
from typing import Union
class Prompter(object):
__slots__ = ("template", "_verbose")
def __init__(self, template_name: str = "", verbose: bool = False):
self._verbose = verbose
if not template_name:
template_name = "KoRAE_template"
file_n... | gauss5930/KoRAE | finetuning/utils/prompter.py | prompter.py | py | 1,553 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
... |
14505653809 | import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torchvision as tv
from time import time
from src.model.madry_model import WideResNet
from src.attack import FastGradientSignUntargeted
from src.utils import makedirs, create_logger, tensor2cuda,... | ylsung/pytorch-adversarial-training | cifar-10/main.py | main.py | py | 9,835 | python | en | code | 230 | github-code | 36 | [
{
"api_name": "torch.optim.SGD",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.lr_scheduler.MultiStepLR",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": ... |
10744207821 | import numpy
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.pyplot import figure
img_path = '/home/moby/PycharmProjects/datasets_processing/figures/'
plt.rcParams.update({
'font.family': 'serif',
'font.sans-serif': ['Times'],
'text.latex.preamble':
r'\usepackage[T2A]{fonte... | SergWh/datasets_processing | thesis_plots/gpt_classes.py | gpt_classes.py | py | 1,188 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"... |
45923290828 | from SortAlgs import *
import matplotlib.pyplot as plt
import plotly.express as px
import timeit
import random
import numpy as np
N = 10000
X = [random.randint(0, N) for _ in range(N)]
naive_time = timeit.timeit("naive_sort(X, X)", globals=globals(), number=1)
merge_time = timeit.timeit("merge_sort(X, X)", globals=gl... | SchardtS/Coding-Club | 2023_12_18_SortingAlgorithms/Simon/ComplexityVisualization.py | ComplexityVisualization.py | py | 1,087 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "timeit.timeit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "timeit.timeit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "timeit.timeit",
"line_n... |
21618269201 | from __future__ import absolute_import
import logging
import tempfile
import unittest
from apache_beam.examples.cookbook import group_with_coder
from apache_beam.testing.util import open_shards
# Patch group_with_coder.PlayerCoder.decode(). To test that the PlayerCoder was
# used, we do not strip the prepended 'x:' ... | a0x8o/kafka | sdks/python/apache_beam/examples/cookbook/group_with_coder_test.py | group_with_coder_test.py | py | 2,877 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "apache_beam.examples.cookbook.group_with_coder.PlayerCoder",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "apache_beam.examples.cookbook.group_with_coder",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "apache_beam.examples.cookbook.grou... |
34373633188 | from django.urls import path
from . import views
from django.urls import include, path, re_path
# /playlist
# /user/<id>
urlpatterns = [
path('index/', views.index, name='index'), # page
re_path('^index/registration/', views.registration),
path('login/', views.login), # page
path('logout/', views.log... | Maxgioman/Python | playlist/urls.py | urls.py | py | 900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.re_path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.pat... |
32699799681 | import io
import json
import sys
INDENT = 4 * " "
DEFAULT_NEWRESPARAM = "res"
def toCppType(t):
if isinstance(t, list):
if len(t) == 2:
return "{}<{}>".format(t[0], t[1])
elif len(t) == 3:
return "{}<{}<{}>>".format(t[0], t[1], t[2])
else:
raise Runtime... | daphne-eu/daphne | src/runtime/local/kernels/genKernelInst.py | genKernelInst.py | py | 10,745 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 168,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 173,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 175,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number":... |
1636559220 | import sys
import os
import subprocess
import graphviz_gen
from PySide6.QtWidgets import QApplication, QWidget, QPushButton, QLineEdit, QPlainTextEdit, QVBoxLayout
from PySide6.QtCore import QFile, QThread, Slot, Qt
from PySide6.QtUiTools import QUiLoader
from PySide6.QtSvgWidgets import QSvgWidget
class Base(QWidge... | 0x000922/Network-Troubleshooter | main.py | main.py | py | 2,487 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QLineEdit",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "PySide6.QtWidgets.QPlainTextEdit",
"line_number": 18,
"usage_type": "argument"
... |
506390690 | """
Snapping
"""
def snap_points_to_near_line(lineShp, pointShp, epsg, workGrass,
outPoints, location='overlap_pnts', api='grass',
movesShp=None):
"""
Move points to overlap near line
API's Available:
* grass;
* saga.
"""
... | jasp382/glass | glass/gp/snp.py | snp.py | py | 4,241 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "glass.wenv.grs.run_grass",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "grass.script.setup.init",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "grass.script.setup",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "g... |
43300161534 | """Implements the core parts of flow graph creation.
"""
import sys
import collections
import types
import __builtin__
from rpython.tool.error import source_lines
from rpython.rlib import rstackovf
from rpython.flowspace.argument import CallSpec
from rpython.flowspace.model import (Constant, Variable, Block, Link,
... | mozillazg/pypy | rpython/flowspace/flowcontext.py | flowcontext.py | py | 45,650 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "rpython.flowspace.model.const",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rpython.tool.error.source_lines",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "rpython.flowspace.model.Block",
"line_number": 38,
"usage_type": "name"
}... |
3678250480 | from typing import Any, List, Text
from rasa.nlu.config import RasaNLUModelConfig
from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
from rasa.nlu.training_data import Message, TrainingData
from rasa.nlu.constants import TEXT_ATTRIBUTE, TOKENS_NAMES, MESSAGE_ATTRIBUTES
from rasa.utils.io import DEFAULT_ENCODI... | msamogh/rasa-frames | rasa/nlu/tokenizers/mitie_tokenizer.py | mitie_tokenizer.py | py | 2,085 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "rasa.nlu.tokenizers.tokenizer.Tokenizer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rasa.nlu.constants.TOKENS_NAMES",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rasa.nlu.constants.MESSAGE_ATTRIBUTES",
"line_number": 13,
"usage... |
37803606526 | """
Wrapper Class for the Github Secrets Filler
"""
import os
import sys
import dotenv
import github
from ..GithubEnvironmentSecret import GithubEnvironmentSecret
class Filler:
dotenv_values = None
github_repository = None
environment = None
gh_env_secret = None
def __init__(self, args):
... | ArteGEIE/github-secrets-filler | bin/libraries/filler/Filler.py | Filler.py | py | 2,996 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "GithubEnvironmentSecret.GithubEnvironmentSecret",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 51,
"usage_type": "call"
},
{
"api_nam... |
70472354663 | '''
Created on Aug 1, 2019
@author: jsaavedr
Reading an image
'''
import pai_io
import matplotlib.pyplot as plt
if __name__ == '__main__':
filename = '../images/gray/lion_gray.jpg'
image = pai_io.imread(filename, as_gray = True)
print('shape: {}'.format(image.shape))
##showing image
plt.imshow (... | Cotorrra/CC5508-Imagenes | Basic Tools/pai_basis/example_1.py | example_1.py | py | 399 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pai_io.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
40294323346 | import time
import random
import lxc
import code
import string
from multiprocessing.pool import ThreadPool
import os
from os.path import join, isfile, exists
import json
LXC_BASE = "tmpl_apach"
MOUNTPOINT = "files"
LXC_IP = "10.10.13.7"
##### GRADER FUNCTIONS
import http.client
ip1 = '127.0.0.1'
ip2 = LXC_IP
... | mabdi/ctf-pylxc | challs/Apache_Man_2/grader.py | grader.py | py | 8,833 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "socket.socket",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "ssl.wrap_so... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.