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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18672969440 | import pandas as pd
import argparse
import yaml
import os
import io
import json
def retrieve_params(config):
with open(config) as yaml_file:
params= yaml.safe_load(yaml_file)
return params
def generate_metadata_csv(params):
excel_file_path = params["data"]["standard_excel_file"]
df = pd.read... | sagar-harry/Youtube_Trending_data | generate_meta_data_file_2.py | generate_meta_data_file_2.py | py | 1,708 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.safe_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_numb... |
15381149189 | import requests
from weather_message import WeatherStation
LINE_URL = 'https://notify-api.line.me/api/notify'
def send_message(token, msg):
headers = {'Authorization': 'Bearer ' + token}
payload = {'message': msg}
response = requests.post(LINE_URL, headers=headers, params=payload)
return re... | shamiOuO/weather_report | Line_notify.py | Line_notify.py | py | 544 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 10,
"usage_type": "call"
}
] |
21123419493 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, Text, TIMESTAMP
from sqlalchemy import func
Base = declarative_base()
class TestData(Base):
__tablename__ = 'test'
id = Column(Integer, primary_key = True)
data = Column(Text)
created_at = Column(TIMESTAMP... | tosiaki/windyfall_bot | testdata.py | testdata.py | py | 423 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 10,
"usage_type": "argument"
},
{
... |
72177063783 | import json
import traceback
from flask import Blueprint, jsonify
from bson.json_util import dumps
from models.users import User
get_users_blueprint = Blueprint("get_users_blueprint", __name__)
@get_users_blueprint.route("/get-users")
def get_users():
try:
users = User.find(User.record_status=="ALIVE").a... | emacliam/REDIS-HACKERTHON---CRM | CRM BACKEND/controllers/users/get_users.py | get_users.py | py | 947 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.users.User.find",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.users.User",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.users.... |
25175834547 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 2 17:19:48 2023
@author: acomeau
"""
import matplotlib.pyplot as plt
import time
import numpy as np
import math
x=np.zeros((1,100))
x1=np.zeros((1,100))
x2=np.zeros((1,100))
for timeSetepNdx in range(1,100):
x[0,timeSetepNdx]=timeS... | adriencomeau/Telescopium | untitled1.py | untitled1.py | py | 749 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 22,... |
27435754821 | import os
import pathlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imsave, imread
def add_noise(noise_type, image):
if noise_type == "gauss":
shp = image.shape
mean = 0
var = 0.01
sigma = var ** 0.5
gauss = np.random.normal(mean, sigma... | 206081/psio | Lab2/zad1.py | zad1.py | py | 2,703 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.normal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
12532422975 | """empty message
Revision ID: 8f71e60633a3
Revises: 2e7679aa003d
Create Date: 2023-01-24 23:57:44.856118
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '8f71e60633a3'
down_revision = '2e7679aa003d'
branch_labels = None
depe... | lusferror/SugestionCties | src/migrations/versions/8f71e60633a3_.py | 8f71e60633a3_.py | py | 1,087 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.... |
69941827626 | import pickle
import os
import numpy as np
import torch
from sklearn.datasets import make_blobs
from torch.utils.data import Dataset
from torch.utils.data.dataset import T_co
def prepare_blob_dataset(city_num: int = 50,
feature_dim: int = 2,
sample_num: int = 100000... | ma-shangao/rl_waypoint_mrta | dataset_preparation.py | dataset_preparation.py | py | 3,367 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.make_blobs",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
... |
17393417065 | import sqlite3
import constants
#from constants import insert_base_user
DB_NAME = "vehicle_management.db"
db = sqlite3.connect(DB_NAME)
db.row_factory = sqlite3.Row
c = db.cursor()
#
# insert_base_user = """
# INSERT INTO BASE_USER (user_name, email, phone_number, address)
# VALUES (:user_name, :email,... | bonevb/HackBulgaria-Programming101-Python-2018 | week10/01-Vehicle-Repair-Manager/mechanic.py | mechanic.py | py | 1,904 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "constants.insert_base_user",
"line_number": 34,
"usage_type": "attribute"
}
] |
42985186741 | import psycopg2
def create_table(connection):
# il cursore è utillizato esequire comandi e accedere alla risposta
cursor = connection.cursor()
try:
# prepara il comando
create_table_query = '''CREATE TABLE students
(ID SERIAL PRIMARY KEY ,
NAME TEX... | Torla/postgres_ex | main.py | main.py | py | 5,031 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "psycopg2.Error",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.Error",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.Error",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.... |
70506020904 | #importing libraries
import pandas as pd
from selenium import webdriver # for webdriver
from selenium.common.exceptions import NoSuchElementException # for exception handling
import time # for delay
# setting platform for selenium
path = r'C:\Users\haqab\Desktop\DS\chromedriver.exe'
driver = webdriver.Chrome(path)
... | Abdulhaq005/Web-Scraping-scrapy-and-selenium- | cars/spiders/selenium_script.py | selenium_script.py | py | 3,645 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "selenium.comm... |
29261172588 | import xml.etree.ElementTree as ET
def xml_parse(file_byte):
def get_recursive(parent):
res = {}
if not parent.getchildren():
res[parent.tag] = ''
return res
res[parent.tag] = []
for child in parent:
if child.getchildren():
res[p... | oktavianustjoea/ap-app | xml_converter/utils.py | utils.py | py | 529 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 19,
"usage_type": "name"
}
] |
70307229865 | import os
import requests
import json
from requests_oauthlib import OAuth1
from dotenv import load_dotenv
load_dotenv()
CONSUMER_KEY = os.getenv("TWITTER_API_KEY")
CONSUMER_SECRET = os.getenv("TWITTER_API_SECRET")
ACCESS_TOKEN = os.getenv("TWITTER_ACCESS_TOKEN")
ACCESS_TOKEN_SECRET = os.getenv("TWITTER_ACCESS_TOKEN_... | homeGrownCheese/tweet_waka_daily | tweet_stats.py | tweet_stats.py | py | 2,688 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": ... |
72215373865 | # Download the helper library from https://www.twilio.com/docs/python/install
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
# DANGER! This is insecure. See http://twil.io/secure
account_sid = 'AC3f72ddfebffe2adae5b4efe0c6d9c9b6'
auth_token = 'd45d3fcfab5be3e08985b77a3fd13103'... | leemengwei/tasty_shrimp_skype | phone_with_twilio.py | phone_with_twilio.py | py | 1,069 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "twilio.rest.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 19,
"usage_type": "call"
}
] |
39687720281 | import networkx as nx, matplotlib.pyplot as plt, numpy as np, copy
import MarkovChain as SMC
from Randomized import *
from time import time
Pps = 0.4 # float(input('Ingrese la probabilidad de que un dispositivo protegido pase a ser susceptible: '))
Psp = 0.3 # float(input('Ingrese la probabilidad de que un dispositi... | Zharet-Bautista-Montes/Markov_Inspector | venv/core/MultipleMC.py | MultipleMC.py | py | 9,302 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
17169329371 | import os
import telebot
from dotenv import load_dotenv
import client
load_dotenv()
bot_token = os.getenv('BOT_TOKEN')
admin = os.getenv('TG_ADMIN_ID')
bot = telebot.TeleBot(bot_token)
states_list = ["ADDRESS", "AMOUNT", "CONFIRM"]
states_of_users = {}
@bot.message_handler(commands=['start'])
def start_message(... | Lexxar91/bitcoin_api_bot | tg_bot/bot.py | bot.py | py | 12,039 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_num... |
31850440252 | import matplotlib.pyplot as plt
import numpy as np
# x axis
u = np.arange(0.0,2.74,0.01,dtype=np.cdouble)
v = np.arange(2.74,5.0,0.01,dtype=np.cdouble)
x = np.arange(0.0,5.0,0.01,dtype=np.cdouble)
y = np.arange(0.0,3.83,0.01, dtype=np.cdouble)
z = np.arange(3.83,5.0,0.01, dtype=np.cdouble)
# y axis
def f(t, option =... | cesaregarza/QMResearch | plotter.py | plotter.py | py | 1,812 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.cdouble",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.cdouble",
"line_n... |
26626844923 | import astropy.units as u
from astropy.coordinates.sky_coordinate import SkyCoord
from astropy.units import Quantity
from astropy.io.votable import parse
from astropy.table import Table
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np
extra_data = np.genfromtxt("Data/Mean_extinc... | spacer730/Gaia_research | Queries-CM-Diagrams/CM-Diagram-corrected_mean_AG-EBminR .py | CM-Diagram-corrected_mean_AG-EBminR .py | py | 2,142 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table.read",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.a... |
31987030282 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import contextlib
import os
import zipfile
import os.path
import yaml
import json
applets_index = []
@contextlib.contextmanager
def change_dir(path):
old_path = os.getcwd()
os.chdir(path)
yield
os.chdir(old_path)
def read_applet_config(applet_path) -> ... | jumpserver/applets | build.py | build.py | py | 2,560 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_num... |
40861542036 | import numpy as np
from typing import List, Dict
from math import ceil
def _valleys(hist: Dict[int, int]) -> List[int]:
"""
Find the valleys of a histogram of gray levels
Arguments:
hist frequencies in the histogram of gray levels 0,1,...,L-1 (dictionary)
Value:
valleys returns ... | image-multithresholding/Image-multithresholding | src/image_multi_thresholding/thresholding_windows.py | thresholding_windows.py | py | 2,140 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.Dict",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 57... |
29028425647 | import json
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from torchvision import transforms
from src.constants import (
DICT_CLASS,
EMB_ARRAY,
EMBEDDINGS,
METADATA,
NUM_CLOSEST_PLOT,
NUMBER_RANDOM_IMAGES,
PREDICTION,
SKETCHY,
TUBERL... | VisiumCH/AMLD-2021-Sketchy | src/models/inference/inference.py | inference.py | py | 9,160 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 47,
"usage_type": "call"
},
{
... |
72547899303 | from tools.build_utils import *
import os, shutil
import argparse
def main():
# Command line parser options
parser = argparse.ArgumentParser(
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
'--tf_version',
type=str,
help="TensorFlow tag/branch/SHA\n",
... | openvinotoolkit/openvino_tensorflow | build_tf.py | build_tf.py | py | 4,841 | python | en | code | 176 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 48,
"usage_type": "call"
},
{
"api_name":... |
13019170409 | import torch
import math
from torch import nn
import torch.nn.functional as F
# Objective: learn embedding vector for each "relative" position
# Steps: (1) Identify matrix of possible relatives (sent_len, sent_len) "clamped values"
# (2) Identify embedding vector with possible vocabs of relatives (vocab, emb)
... | hosnaa/bert-implement | src/relative_position.py | relative_position.py | py | 10,928 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
36478211178 | from django import forms
from ..models import Modelo
class ModeloForm(forms.ModelForm):
class Meta:
model = Modelo
fields = ["marca", "nombre"]
def __init__(self, *args, **kwargs):
super(ModeloForm, self).__init__(*args, **kwargs)
for i, (fname, field) in enumerate(self.fields.... | xcarlx/Venta | apps/producto/formstotal/modelo.py | modelo.py | py | 390 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.Modelo",
"line_number": 6,
"usage_type": "name"
}
] |
35291375172 | """
Created on Tue Apr 26 20:17:37 2022
@author: celiaberon
"""
import os
import numpy as np
import pandas as pd
import scipy
from nta.features.select_trials import match_trial_ids
from nta.preprocessing.signal_processing import snr_photo_signal
def QC_included_trials(ts: pd.DataFrame,
tria... | celiaberon/neural-timeseries-analysis | nta/preprocessing/quality_control.py | quality_control.py | py | 12,580 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "nta.features.select_trials.match_trial_ids",
"line_number": 63,
"usage_type": "call"
},
{... |
33938514931 | import pytest
from schema import cities
async def test_database(sqlite_database):
tables_query = "SELECT * FROM sqlite_master where type='table';"
tables = await sqlite_database.fetch_all(query=tables_query)
assert len(tables) != 0
city_query = cities.insert(
values={"name": 'London',
... | roman808080/route_planner | tests/test_db_manager.py | test_db_manager.py | py | 497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "schema.cities.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "schema.cities",
"line_number": 12,
"usage_type": "name"
}
] |
1141324769 | import re
import base64
import math
from glob import glob
from getpass import getpass
from pprint import pprint
from marshals.interface import api
import tns.sedm_auto_tns as tns
fritz_base_url = 'https://fritz.science/api/'
fritz_classification_url = fritz_base_url + 'classification'
fritz_redshift_update_url = frit... | scizen9/sedmpy | fritz/fritz_commenter.py | fritz_commenter.py | py | 14,311 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "base64.b64encode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "marshals.interface.api",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "marshals.interface.api",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "tns.se... |
32331024727 | #!/usr/bin/python3
"""Contains a class named Base"""
import json
class Base:
"""Class named Base"""
__nb_objects = 0
def __init__(self, id=None):
"""initialize Base class"""
if id is None:
Base.__nb_objects += 1
self.id = Base.__nb_objects
else:
... | ammartica/holbertonschool-higher_level_programming | 0x0C-python-almost_a_circle/models/base.py | base.py | py | 1,956 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 31,
"usage_type": "call"
}
] |
15618824234 | #!/usr/bin/env python3
import argparse
from datetime import datetime
import json
import os
import sys
import time
import uuid
from aiosmtpd.controller import Controller
import mailparser
DATA_PATH = 'messages'
class Handler(object):
# noinspection PyPep8Naming,PyMethodMayBeStatic
async def handle_DATA(self... | OPSnet/PostOffice | smtpd.py | smtpd.py | py | 1,929 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mailparser.parse_from_string",
... |
9588266467 | import unittest
from tests import PluginTest
from plugins.basketball import basketball
from mock import patch, call
import requests
import datetime
from packages.memory.memory import Memory
class BasketballTest(PluginTest):
"""
Tests For Basketball Plugin
!!! test will be executed only if user has added h... | sukeesh/Jarvis | jarviscli/tests/test_basketball.py | test_basketball.py | py | 2,571 | python | en | code | 2,765 | github-code | 36 | [
{
"api_name": "tests.PluginTest",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "plugins.basketball.basketball",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "packages.memory.memory.Memory",
"line_number": 18,
"usage_type": "call"
},
{
"... |
29138207241 |
from random import randint as rand
import pygame
import time
row_max =16
column_max =16
mine_count = 50
square_list = []
square_size = 30
BLACK = (0,0,0)
WHITE = (255,255,255)
BLUE = (0,0,255)
RED = (255,0,0)
pygame.init()
stage = "setup"
check_list = []
screen = pygame.display.set_mode((square... | OOCam1/Minesweeper | Minesweeper.py | Minesweeper.py | py | 19,511 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
11249142498 | import torch
import copy
import numpy as np
from torch.nn import Dropout
from torch.nn import Linear
from torch.nn import LayerNorm
from torch.nn import functional as F
from RprMultiheadAttention import MultiheadAttention
def _get_activation_fn(activation):
if activation == "relu":
return F.relu
elif activation =... | perathambkk/lipreading | short1.27fast_nlls_xl_2mem_lattransconv_p_OSL_500_cosine/RprTransformerEncoderLayer.py | RprTransformerEncoderLayer.py | py | 3,370 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "torch.nn.functional.relu",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.gelu",
"line_number": 15,
"usage_type": "attribute"
},
{
"a... |
6797122561 | import logging
import requests
from django.urls import reverse
from django.conf import settings
from django.core.mail import get_connection
from django.core.mail.backends.base import BaseEmailBackend
from .engine import send_email
from mail.models import Message
logger = logging.getLogger('mails')
def get_admins(... | tomasgarzon/exo-services | service-exo-mail/mail/backend.py | backend.py | py | 2,657 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mail.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.ADMINS",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django... |
37412068955 | ##############################################################################
#
# File format versions:
#
# 1: initial version
#
# 2: now contains reciprocal planck opacity and rosseland opacity
# previous rosseland opacity was actually reciprocal planck opacity
#
###############################################... | hyperion-rt/hyperion | hyperion/dust/dust_type.py | dust_type.py | py | 31,342 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "util.functions.FreezableClass",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "optical_properties.OpticalProperties",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "mean_opacities.MeanOpacities",
"line_number": 66,
"usage_type": "call"... |
21891037955 | import json
import logging
import traceback
from django.views import View
from django.http import JsonResponse
from backend.models import AnnotationCategory, Video
# from django.core.exceptions import BadRequest
class AnnoatationCategoryCreate(View):
def post(self, request):
try:
if not requ... | TIBHannover/tibava-backend | backend/views/annotation_category.py | annotation_category.py | py | 2,854 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.views.View",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.http.Jso... |
5102702223 | """fask_dj URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
... | ZompaSenior/fask | fask/src/fask_dj/task/urls.py | urls.py | py | 1,085 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django... |
6377162291 | from django.db import models
import uuid
class apiKeys(models.Model):
id = models.CharField(max_length=200, null=False, blank=False)
key = models.TextField(primary_key=True, default=uuid.uuid4().hex)
def __unicode__(self):
return self.id
class ButtonTable(models.Model):
SKRANKE = 0
TELE... | OrakeltjenestenDragvoll/nix | apps/bujumbura/models.py | models.py | py | 837 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
74146205863 | from flair.data import Sentence
from flair.models import SequenceTagger
from flair.embeddings import (DocumentPoolEmbeddings,
FlairEmbeddings, StackedEmbeddings)
from torch import dot, norm, squeeze
from pathlib import Path
import pickle
from odm.nlp.tensors import PCA, plot_embeddings... | ixxie/odm | src/odm/nlp/model.py | model.py | py | 2,615 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flair.models.SequenceTagger.load_from_file",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flair.models.SequenceTagger",
"line_number": 26,
"usage_type": "name"
},
{
... |
7919024721 | from __future__ import division
import geojson
from helper import load_geom, degrees_to_radians, get_coord, PRECISION
from math import pow, sqrt, pi, tan, cos, sin
from measurement import rhumb_destination
from transformation import transform_rotate
def ellipse(center, x_semi_axis, y_semi_axis, options={}):
steps... | CartoDB/analytics-toolbox-core | clouds/redshift/libraries/python/lib/constructors/ellipse/__init__.py | __init__.py | py | 3,027 | python | en | code | 181 | github-code | 36 | [
{
"api_name": "helper.load_geom",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "helper.get_coord",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "helper.degrees_to_radians",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "measureme... |
29317958483 | from keras.utils.data_utils import get_file
import os
import numpy as np
from os import listdir
from os.path import isfile, join, isdir
import cv2
from random import shuffle
import math
from keras.callbacks import TensorBoard, EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, LearningRateScheduler
from keras.models im... | LifengFan/Shared-Attention | src/gazemap.py | gazemap.py | py | 23,892 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "random.shuffle",
"line_number": 199,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 200,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 205,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_... |
18735221514 | import scrapy
from module.items import HotlineItem
class HotlineSpider(scrapy.Spider):
name = "hotline"
allowed_domains = ["hotline.ua"]
start_urls = [f"https://hotline.ua/ua/bt/holodilniki/?p={page}" for page in range(1, 4)]
def parse(self, response):
catalog = response.xpath('//div[contains... | Ivan7281/Lab-Data-Scraping | Lab7/module/spiders/hotline.py | hotline.py | py | 1,258 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "module.items.HotlineItem",
"line_number": 26,
"usage_type": "call"
}
] |
34530261292 | from __future__ import absolute_import
import hashlib
import json
import os
import re
import socket
from mercurial.i18n import _
from mercurial import (
error,
pathutil,
url as urlmod,
util,
vfs as vfsmod,
worker,
)
from ..largefiles import lfutil
# 64 bytes for SHA256
_lfsre = re.compile(r... | bruno-oliveira/twilioHackathon-whats-around-me | env/lib/python2.7/site-packages/hgext/lfs/blobstore.py | blobstore.py | py | 17,091 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mercurial.vfs.vfs",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "mercurial.vfs",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "mercurial.error.Progr... |
12185429190 | # Creating a regression line - aka line of best fit
# Y = mx + b
from statistics import mean
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
# defined as numpy arrays
xs = np.array([1,2,3,4,5,6], dtype=np.float64)
ys = np.array([5,4,6,5,6,7], dtype=np... | Wcdunn3/pythonProjects | MachineLearning/MlLesson9LineFit.py | MlLesson9LineFit.py | py | 790 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.style.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"... |
13509904582 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Resize and add text to videos
Usage example:
$ python transform.py
"""
import random
import os
import shutil
from moviepy.editor import *
from moviepy.video.tools.subtitles import SubtitlesClip
from sqlite import *
class VideoTransform:
def __init__(self, video... | miguel-faggioni/zap-bot | transform.py | transform.py | py | 4,335 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "moviepy.video.tools.subtitles.SubtitlesClip",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "moviepy.video.tools.subtitles.SubtitlesClip",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 77,
"usage_type": "... |
17299275140 | from django.shortcuts import render, get_object_or_404
from .models import Post, Comment
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from .forms import CommentForm
from django.views.decorators.http import require_POST
from taggit.models import Tag
"""
This is the Count aggregation function ... | m-abdelgawad/automagic-developer-django-postgres-docker-compose-stack | automagic-website/blog/views.py | views.py | py | 4,620 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Post.published.all",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "models.Post.published",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "djan... |
74540930982 | # -*- coding: utf-8 -*-
from enum import Enum
class SolarTerms(Enum):
the_beginning_of_spring = "the Beginning of Spring", "立春"
rain_water = "Rain Water", "雨水"
the_waking_of_insects = "the Waking of Insects", "惊蛰"
the_spring_equinox = "the Spring Equinox", "春分"
pure_brightness = "Pure Brightness",... | LKI/chinese-calendar | chinese_calendar/solar_terms.py | solar_terms.py | py | 4,541 | python | en | code | 866 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
}
] |
70539338983 | from intrinsic_types import intrinsic_types, is_float
from bitstring import Bits, BitArray
import random
from tempfile import NamedTemporaryFile
import os
import subprocess
from interp import interpret
from compiler import compile
from bit_util import *
import math
import z3
import functools
import operator
from spec_s... | ychen306/upgraded-succotash | fuzzer.py | fuzzer.py | py | 12,802 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "z3.Solver",
"line_nu... |
23565614159 | #!/usr/bin/python3
import sys
import pyvips
im = pyvips.Image.new_from_file(sys.argv[1], access="sequential")
text = pyvips.Image.text(f"<span color=\"red\">{sys.argv[3]}</span>",
width=500,
dpi=100,
align="centre",
r... | libvips/pyvips | examples/watermark.py | watermark.py | py | 945 | python | en | code | 558 | github-code | 36 | [
{
"api_name": "pyvips.Image.new_from_file",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyvips.Image",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyvips.Image.... |
35701573370 | from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(899, 563)
MainWindow.setMinimumSize(QtCore.QSize(700, 480))
MainWindow.setStyleSheet("*{\n"
"background:#18162A;\n"
"borde... | MyLongCode/project1 | ui_interface.py | ui_interface.py | py | 19,084 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets... |
8346930934 | import os
import random
import tempfile
from copy import copy
from functools import partial
from multiprocessing import cpu_count
import pickle
import numpy as np
import tensorflow as tf
from joblib import Parallel, delayed
from .tokenization import printable_text
from .utils import (BOS_TOKEN, EOS_TOKEN, add_special... | hauwenc/bert-multitask-learning | bert_multitask_learning/create_generators.py | create_generators.py | py | 20,858 | python | en | code | null | github-code | 36 | [
{
"api_name": "utils.punc_augument",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.tokenize_text_with_seqs",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.tokenize_text_with_seqs",
"line_number": 40,
"usage_type": "call"
},
{
"a... |
35614129449 | import msgpack
import redis
import click
import socket
import pandas as pd
import numpy as np
import ujson as json
#Extra Functions (for enrichment purpose)
df_port_name = pd.read_csv('enrichments/port_name.txt',delimiter=",", names=['port_num','port_name'])
df_ip_proto_name = pd.read_csv('enrichments/ip_proto_name.tx... | jdcc2/ddoshackathon | packet_patterns.py | packet_patterns.py | py | 17,497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.group",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"... |
22143984130 | from art import logo
def greet(name, location, time):
print(f"Hi {name} from {location}. Good {time}.")
print(f"Hey {name} from {location}. Good {time}.")
print(f"Hello {name} from {location}. Good {time}.")
#greet("Angela", location="London", time="evening")
def caeser(direction, text, shift):
caeser_text ... | tarunchandel/python-ceaser-cipher | main.py | main.py | py | 1,367 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "art.logo",
"line_number": 38,
"usage_type": "argument"
}
] |
35478168713 | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import argparse
import codecs
import sys
import openapc_toolkit as oat
ARG_HELP_STRINGS = {
"csv_file": "The csv file where rows should be reordered",
"column": "The numerical index of the column to be used as sorting key",
"encoding": "The encoding of the C... | OpenAPC/openapc-de | python/csv_row_reorder.py | csv_row_reorder.py | py | 6,006 | python | en | code | 114 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "codecs.lookup",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_n... |
74297991462 | from collections import defaultdict
from itertools import product, chain
class Rule:
def __init__(self, registry):
self.registry = registry
self.or_rules = []
self._generated = None
def __iter__(self):
for r in self.value:
yield r
def parse_rule(self, rule):
... | maarten-dp/adventofcode2020 | solvers/day19.py | day19.py | py | 2,835 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "itertools.product",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 40,
"usage_type": "call"
}
] |
16746507107 | import os
import sys
import gensim
import smart_open
import collections
import random
import json
import os.path
from gensim.models.doc2vec import Doc2Vec, TaggedDocument
from gensim.test.utils import get_tmpfile
import time
from corpus_indexer import CorpusIndexer
class CorpusModeler:
def __init__(self, model_nam... | kcculhwch/prayer2vec | build/scripts/corpus_modeler.py | corpus_modeler.py | py | 5,038 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number"... |
14144674644 | import numpy as np
from PIL import Image
import torch
class GenericDataset:
def __init__(self):
self.patch_width = None
self.image_height = None
def add(self, dataset):
return SummedDataset(self, dataset)
def resize_image(self, image):
original_width, original_height = i... | EauDeData/oda_ocr | src/dataloaders/summed_dataloader.py | summed_dataloader.py | py | 6,678 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.zeros",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"lin... |
37338865985 | from distutils.core import setup
import os.path
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="python_obfuscator",
packages=setuptools.find_packages(),
version="0.0.2",
license="MIT",
description="It's a python obfuscator.",
author... | davidteather/python-obfuscator | setup.py | setup.py | py | 1,182 | python | en | code | 133 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 10,
"usage_type": "call"
}
] |
69904854506 | from flask import Flask, request, jsonify
from config import Config
from flask_cors import CORS, cross_origin
from database import db
def create_app(config_class=Config):
app = Flask(__name__)
app.config.from_object(config_class)
app.config['CORS_HEADERS'] = 'Content-Type'
db.init_app(app)
# imp... | danme-l/website-v2-backend | app.py | app.py | py | 1,479 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "config.Config",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "database.db.init_app",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "database.db",
"line_... |
30872218901 | # -*- coding: utf-8 -*-
# from rest_framework.generics import ListAPIView, CreateAPIView, UpdateAPIView, RetrieveAPIView, DestroyAPIView
# from django.shortcuts import render
# from django.views import View
# from rest_framework.views import APIView
from rest_framework.authentication import BasicAuthentication, Session... | ietar/huluobei | book_drf/views2.py | views2.py | py | 4,527 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.generics.GenericAPIView",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "crawlers.models.Book.objects.all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "crawlers.models.Book.objects",
"line_number": 22,
"usage_type": "... |
70442787624 | #coding: utf-8
# __author__ = jqy
import logging
class Logger(object):
def __init__(self, log_file):
"""Initialize logging module."""
# disable requests log
logging.getLogger("requests").setLevel(logging.DEBUG)
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
... | stkaeljason/TjgbSpider | logdealer.py | logdealer.py | py | 932 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG"... |
36748155431 | from collections import OrderedDict
from fudge.index import Index, read_index, write_index
from fudge.object import Object, load_object, store_object
from fudge.parsing.builder import Builder
from fudge.parsing.parser import Parser
from fudge.utils import FudgeException
class Node(object):
def __init__(self, nam... | QuantamKawts/fudge | fudge/tree.py | tree.py | py | 3,926 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fudge.object.load_object",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "fudge.utils.FudgeException",
"line_number": 82,
"usage_type": "call"
},
{
"api_n... |
24770123438 | #!/usr/bin/python3
import requests # pip3 install requests
import sys
from lxml import etree # pip3 install lxml
import re
class Item:
category = ''
detName = ''
detDesc = ''
link = ''
def __init__(self, category, detName, detDesc, link):
self.category = category
self.detName = det... | echcz/sak | piratebay-cli.py | piratebay-cli.py | py | 10,776 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number":... |
20336422398 | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.6.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x00\xcc\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\x40\x0... | NIRVANALAN/TU_rcm | resources.py | resources.py | py | 612,926 | python | ja | code | 2 | github-code | 36 | [
{
"api_name": "PyQt5.QtCore.qRegisterResourceData",
"line_number": 9381,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 9381,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.qUnregisterResourceData",
"line_number": 9384,
"usage_type": "call"
},... |
24428229816 | import numpy as np
import matplotlib.pyplot as plt
import random
class Tuihuo:
path = []
def __init__(self, graph, num, value=0): # 初始化类
self.num = num
self.graph = graph
self.value = 0
def output_graph(self): # 输出初始图
for i in self.graph:
for j in i:
... | blue-vegetable/AI_TSP_HOMEWORK | SA.py | SA.py | py | 3,558 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.rand",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "random.randrange",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "random.randrange... |
72172630823 | """
Inventarios Componentes v3, CRUD (create, read, update, and delete)
"""
from typing import Any
from sqlalchemy.orm import Session
from lib.exceptions import MyIsDeletedError, MyNotExistsError
from lib.safe_string import safe_string
from ...core.inv_componentes.models import InvComponente
from ..inv_categorias.cr... | PJECZ/pjecz-plataforma-web-api-key | plataforma_web/v4/inv_componentes/crud.py | crud.py | py | 1,709 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "core.inv_componentes.models.InvComponente",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "inv_categorias.crud.get_inv_categoria",
"line_number": 25,
"usage_ty... |
33815850991 | from django.shortcuts import get_object_or_404
from rest_framework.decorators import api_view, permission_classes
from rest_framework.response import Response
from rest_framework import status
from rest_framework.permissions import IsAdminUser, IsAuthenticated
from .models import Exercise
from .serializers import Exerc... | christianbeckham/capstone-app | backend/exercises/views.py | views.py | py | 2,944 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.R... |
40660876105 | # -*- coding:utf-8 -*-
import os
import sys
import time
import tensorflow as tf
import seq2seqModel
import getConfig
import io
gConfig = {}
gConfig=getConfig.get_config(config_file='seq2seq.ini')
vocab_inp_size = gConfig['enc_vocab_size']
vocab_tar_size = gConfig['dec_vocab_size']
embedding_dim=gConfig['embedding_di... | zhangzhiqiangccm/NLP-project | chineseChatbotWeb/execute.py | execute.py | py | 4,645 | python | en | code | 120 | github-code | 36 | [
{
"api_name": "getConfig.get_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.text.Tokenizer",
"line_number": 45,
"usage_type": "call"
},
{
"api_na... |
5603104189 | import discord
cogs_list = [
"help",
"unveil",
"bet",
"account"
]
class Dealer(discord.Bot):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
for cog in cogs_list:
self.load_extension(f"cogs.{cog}")
async def on_ready(self):
print(f"{... | liang799/rivenDealer | bot.py | bot.py | py | 359 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "discord.Bot",
"line_number": 11,
"usage_type": "attribute"
}
] |
12338769948 | ################011011100110010101101111####
### neo Command Line #######################
############################################
def getcmdlist():
cmds = {
"os" :"Open active Schedule View in Excel.",
"ov" :"Open selected views in Project Browser."
}
return c... | 0neo/pyRevit.neoCL | neoCL.extension/neocl_o.py | neocl_o.py | py | 700 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "lib.views.neocl_open_schedule_xl.ExportActiveScheduleViewToExcel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lib.views.neocl_open_schedule_xl",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "lib.views.neocl_views_open.OpenSelectedViews",
... |
15442973460 | from __future__ import absolute_import, print_function
import json
import os
import tempfile
import mock
import mesos.cli.cfg
import mesos.cli.cmds.config
from .. import utils
config_path = os.path.normpath(os.path.join(
os.path.dirname(__file__), "..", "data", "config.json"))
class TestConfig(utils.MockStat... | mesosphere-backup/mesos-cli | tests/integration/test_config.py | test_config.py | py | 1,613 | python | en | code | 116 | github-code | 36 | [
{
"api_name": "os.path.normpath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
7551769686 | from web3 import Web3, EthereumTesterProvider
from etherscan import Etherscan
import json
class Node:
def __init__(self, name, value, address, children=[]):
self.name = name
self.value = value
self.children = children
self.searched = False
self.address = Web3.toChecksumAddr... | DoominEth/Web3DataSandbox | ContractCompossitionNode.py | ContractCompossitionNode.py | py | 3,793 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web3.Web3.toChecksumAddress",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 42,
"usage_type": "call"
}
] |
34168133396 | from bs4 import BeautifulSoup
import requests
def wsearch(word):
word = word.replace(" ", "-")
url = f"https://dictionary.cambridge.org/dictionary/english/{word}"
user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge... | Chris4496/TheDictionaryHubAPI | app/scrapers/cambridge.py | cambridge.py | py | 3,117 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
8919279602 | import subprocess
import json
import argparse
import os
import requests
args = None
def main():
global args
parser = argparse.ArgumentParser(
description='update cloudflare dns records')
parser.add_argument('Domain',
metavar='domain',
type=str,
... | bobbae/examples-2021 | Python/cloudflare/update_dns.py | update_dns.py | py | 4,011 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.exit",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_numbe... |
36041433257 | #!/usr/bin/python
import httplib
import random
import argparse
import sys
#Get options
parser = argparse.ArgumentParser(
description='Testing vote app')
parser.add_argument(
'-port',
type=int,
help='port of server',
default=8000)
parser.add_argument(
'-host',
... | JoseIbanez/testing | redis/p02-vote/client/c02.py | c02.py | py | 1,136 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "httplib.HTTPConnection",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 47,
"usage_type": "call"
}
] |
14557064993 |
import sys
import cv2
import numpy
import copy
import scipy.misc
import itertools
from PIL import Image, ImageOps, ImageDraw
from scipy.ndimage import morphology, label
from copy import deepcopy
from operator import itemgetter
from statistics import median, mean
from math import sqrt
from random import randint
from sc... | stepmat/ScienceBirds_sketch_generation | generate_sketch.py | generate_sketch.py | py | 114,707 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageOps.grayscale",
"line_number": 161,
"usage_type": "call"
},
{
"api_name": "PIL.ImageOps",
... |
37853605555 | #!/usr/bin/env python
#
#
import common
import os, sys, re, random, itertools, functools
from atoslib import utils
from atoslib import atos_lib
from atoslib import generators
from atoslib import process
TEST_CASE = "ATOS generators - pruning"
args = common.atos_setup_args(ATOS_DEBUG_FILE="debug.log")
# #########... | atos-tools/atos-utils | tests/test116.py | test116.py | py | 9,009 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "common.atos_setup_args",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "atoslib.process.commands.mkdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "atoslib.process.commands",
"line_number": 25,
"usage_type": "attribute"
},
{
... |
70606542505 | import json
from wsgiref import simple_server
from wsgiref.simple_server import make_server
def load_html(file_name,**kwargs):
try:
with open(file_name,'r',encoding='utf-8') as file:
content = file.read()
if kwargs: # kwargs = {'username ': 'zhangsan ', 'age':19, 'gender': 'male'}
... | cgyPension/pythonstudy_space | 01_base/$05_wsg服务器.py | $05_wsg服务器.py | py | 2,943 | python | zh | code | 7 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "wsgiref.simple_server.make_server",
"line_number": 60,
"usage_type": "call"
}
] |
38841107343 | import re
import random
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
import razorpay
from django.db.models import Q
from operator import itemgetter
from django.core.paginator import Paginator
import datetime
from property_management_system.settings import razorpay_api_key, ra... | karan7864/property_management | pms/views.py | views.py | py | 38,362 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pms.models.Property.objects.filter",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pms.models.Property.objects",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pms.models.Property",
"line_number": 42,
"usage_type": "name"
},
... |
43231808566 | """
<风格>复古</风格>的旗袍款式
1. 先分词，再标签。
"""
import os
import re
from transformers import BertTokenizer
from collections import defaultdict, Counter
PATTEN_BIO = re.compile('<?.*>?')
def parse_tag_words(subwords):
""" HC<领型>圆领</领型><风格>拼接</风格>连衣裙 """
tags = []
new_subwords = []
i = 0
entity = ''
wh... | WaveLi123/m-kplug | m_kplug/data_process/bpe_kb_encoder.py | bpe_kb_encoder.py | py | 2,910 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "transformers.BertTokenizer",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
18338901118 | import os
import wave
import numpy as np
import calRMSE
import dsp
import pylab as pl
import scipy.signal as signal
import numpy as np
import cv2
import matplotlib.pyplot as plt
import scipy
from scipy.fftpack import fft
from scipy.io import wavfile as wav
from scipy import signal as sig
from scipy.signal import window... | wzt1512978386/Surtify | app/src/main/python/DataPreprocessing2.py | DataPreprocessing2.py | py | 12,746 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "wave.open",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.short",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "numpy.fix",
"line_num... |
6508918488 | import numpy as np
import csv
import chainer
import chainer.functions as F
import chainer.links as L
import sys
import matplotlib.pyplot as plt
class LaughNeuralNet(chainer.Chain):
def __init__(self):
super(LaughNeuralNet, self).__init__(
l1=L.Linear(None, 200),
l2=L.Linear(None, 10... | awkrail/laugh_maker | validation_src/predict.py | predict.py | py | 4,519 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "chainer.Chain",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "chainer.links.Linear",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "chainer.links",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "chainer.links.Li... |
22530028718 | """Implementation of a space that represents textual strings."""
from typing import Any, Dict, FrozenSet, Optional, Set, Tuple, Union
import numpy as np
from gym.spaces.space import Space
alphanumeric: FrozenSet[str] = frozenset(
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
)
class Text(Spa... | openai/gym | gym/spaces/text.py | text.py | py | 7,660 | python | en | code | 33,110 | github-code | 36 | [
{
"api_name": "typing.FrozenSet",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "gym.spaces.space.Space",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Set",
... |
37697513017 |
import streamlit as st
from streamlit_option_menu import option_menu
from pages import home, dashboard, login
class MultiApp:
def __init__(self):
self.apps = []
def add_app(self, title, func):
self.apps.append({
"title": title,
"function": func
... | Ashwani132003/Attendace-Tracker-using-Face-recognition | main.py | main.py | py | 976 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.sidebar",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "streamlit_option_menu.option_menu",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pages.home.app",
"line_number": 35,
"usage_type": "call"
},
{
"api_name"... |
24192841460 | import requests
def check_security_headers(url):
headers_to_check = [
'Strict-Transport-Security',
'Content-Security-Policy',
'X-Content-Type-Options',
'X-Frame-Options',
'X-XSS-Protection',
'Referrer-Policy',
'Permissions-Policy'
]
missing_headers =... | hexodotsh/WebSite_Header_Scanner | headers-security-check.py | headers-security-check.py | py | 999 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 24,
"usage_type": "attribute"
}
] |
23331780439 | from utility_functions import *
import matplotlib.pyplot as plt
def lemke_optimizer_sparse(eco, payoff_matrix = None, dirac_mode = True):
A = np.zeros((eco.populations.size, eco.populations.size * eco.layers))
for k in range(eco.populations.size):
A[k, k * eco.layers:(k + 1) * eco.layers] = -1
q ... | jemff/food_web | old_sims/sparse_testing.py | sparse_testing.py | py | 4,391 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 88,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "matpl... |
74477215464 | from rdflib import Graph, RDF, Literal, RDFS, plugin, OWL, XSD, SKOS, PROV
plugin.register('json-ld', 'Serializer', 'rdfextras.serializers.jsonld', 'JsonLDSerializer')
import csv
import pandas as pd
from collections import Counter
from nltk.tag import StanfordNERTagger
import spacy
import jellyfish as jf
import json
im... | AsaraSenaratne/anomaly-detection-kg | source-files/yago_nodes.py | yago_nodes.py | py | 21,397 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "rdflib.plugin.register",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "rdflib.plugin",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "collections.Counte... |
43103024978 | from celery import shared_task
from celery.utils.log import get_task_logger
from decouple import config
logger = get_task_logger("tasks")
expiration_time = config("EXPIRATION_TIME", default=1800, cast=int)
@shared_task(
bind=True,
default_retry_delay=3,
eta=expiration_time,
retry_kwargs={... | guilhermehgbrito/qrcode-api | qrcode_api/apps/api/tasks.py | tasks.py | py | 721 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "qrcode_api.apps.api.models.QrCode.objects.get",
"line_number": 19,
"usage_type": "call"
... |
37208016314 | from datetime import datetime, timedelta
birthdate = input("Tell us your bidrthay in DD.MM.YYYY format ")
print(birthdate)
date_obj = datetime.strptime(birthdate, '%d.%m.%Y').date()
print(date_obj)
time_difference = datetime.now().date() - date_obj
time_now = datetime.now()
if (time_now.year < date_obj.year):
pr... | KyleKiske/DI-Bootcamp | Week2/Day2/ChallengeGold.py | ChallengeGold.py | py | 1,248 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datet... |
17300324237 | from django.conf.urls import url
from django.views.generic import TemplateView
from .views import (
klasses_list_view,
klasses_detail_view,
klasses_create_view,
klasses_delete_view,
klasses_update_view,
)
urlpatterns =[
# This is Klasses pages
url(r'^list/$', klasses_list_view, name='klasse... | SaramCodes/School-Management-System | klass/urls.py | urls.py | py | 683 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.klasses_list_view",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
42576581221 | """ Exercício para mostras as faces encontradas com variação de parâmetro """
import cv2
classificador = cv2.CascadeClassifier('cascades\\haarcascade_frontalface_default.xml')
imagem = cv2.imread('pessoas\\pessoas3.jpg')
imagemcinza = cv2.cvtColor(imagem, cv2.COLOR_BGR2GRAY)
facesdetectadas = classificador.detectMu... | alans96/PythonProject | Computer Vision/1 Detecção de Faces com Python e OpenCV/3 exe.py | 3 exe.py | py | 583 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"... |
36829740540 | import pytest
from launch_jenkins import launch_jenkins
from launch_jenkins import log
from launch_jenkins import errlog
from launch_jenkins import CaseInsensitiveDict
def test_log(monkeypatch, capsys):
monkeypatch.setitem(launch_jenkins.CONFIG, 'quiet', False)
log('hello', 'world')
out, err = capsys.rea... | ocaballeror/jenkins-launch | tests/test_misc.py | test_misc.py | py | 1,681 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "launch_jenkins.launch_jenkins.CONFIG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "launch_jenkins.launch_jenkins",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "launch_jenkins.log",
"line_number": 11,
"usage_type": "call"
},... |
38916812011 | import discord
from discord.ext.commands import Bot
from discord.ext import commands
import asyncio
import time
import random
from discord import Game
Client = discord.client
client = commands.Bot(command_prefix = '-')
Clientdiscord = discord.Client()
TOKEN = ("NTczNDkxODgzOTc2ODE4Njk4.XMroNg.Pzwl-RFn... | ANATLANTIDA/BOT | Bot.py | Bot.py | py | 2,165 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.client",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dis... |
7870435087 | from bs4 import BeautifulSoup
from uk_bin_collection.uk_bin_collection.common import *
from uk_bin_collection.uk_bin_collection.get_bin_data import \
AbstractGetBinDataClass
# import the wonderful Beautiful Soup and the URL grabber
class CouncilClass(AbstractGetBinDataClass):
"""
Concrete classes have to ... | robbrad/UKBinCollectionData | uk_bin_collection/uk_bin_collection/councils/ValeofGlamorganCouncil.py | ValeofGlamorganCouncil.py | py | 4,863 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "uk_bin_collection.uk_bin_collection.get_bin_data.AbstractGetBinDataClass",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 65,
"usage_type": "call"
}
] |
44145316591 | import json
import logging
import typing
class JSONDumpReader(typing.Iterator[dict]):
def __init__(self, dump_path: str):
self.__dump_path = dump_path
def __iter__(self):
with open(self.__dump_path) as f:
for l in f:
l = JSONDumpReader.__clean_line(l)
... | AlexandraBaier/bachelorthesis | data_analysis/dumpio.py | dumpio.py | py | 1,344 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Iterator",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.log",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_... |
37955494687 | from flask import Flask, request, jsonify
import util
app = Flask(__name__)
# @app.route decorator exposes the http enedpoint
@app.route("/hello")
def test():
return "hello world"
@app.route("/get-locations")
def get_locations():
response = jsonify(
{
"locations": util.get_locations()
... | Chiemerie1/house_prices_ML_model_deployment | server/server.py | server.py | py | 963 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "util.get_locations",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
4640657000 | from django.http import Http404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status, permissions
from .models import CustomUser
from .serializers import CustomUserSerializer
# Create your views here.
class CustomUserList(APIView):
permission_cl... | SheCodesAus/heading_for_success_backend_bris_2023 | SheFunds_backend/users/views.py | views.py | py | 1,915 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.permissions",
"line_number": 13,
"usage_type"... |
42603056105 | import os
import json
import shutil
import time
import traceback
__author__ = 'Michael Ryan Harlich'
def update_paths(paths):
paths['partial_prediction'] = paths['output'] + 'partial_predication.ent'
paths['partial_ground_truth'] = paths['output'] + 'partial_ground_truth.ent'
paths['aligned_prediction'] ... | RyanHarlich/Ca-Prediction-Automated-Testing-Quick-Tools | segments_rmsd/partial_protein/partial_protein.py | partial_protein.py | py | 2,534 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "shutil.copyfile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 6... |
28930913211 | #!/usr/bin/python3
# -*- coding: utf8 -*-
# Code from here:
# https://stackoverflow.com/a/26289475
import psutil
import subprocess
import time
import os
class SSHTunnel(object):
"""
A context manager implementation of an ssh tunnel opened from python
"""
def __init__(self, tunnel_command):
a... | Vasilesk/quotes-posting | sshtunnel.py | sshtunnel.py | py | 2,205 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "subprocess.STDOUT",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "subproce... |
21594616095 | import spacy
import plac
import numpy as np
import time
import re
import os
import sys
import argparse
from sklearn.metrics import accuracy_score
from conllToSpacy import main
# Parsing argument for command-line.
parser = argparse.ArgumentParser(description="Testing an NER model with SpaCy.")
parser.add_argument("-tp"... | Djia09/Named-Entity-Recognition-spaCy | test_ner_spacy.py | test_ner_spacy.py | py | 3,496 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "conllToSpacy.main",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"li... |
74582104744 | from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from .models import File
from .models import Folder
from .serializers import FileSerializer
from .s... | balibabu/backend | fileapi/views.py | views.py | py | 4,763 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.File.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.File.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.File",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "seria... |
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