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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
82546932 | from classes import Interface, Position, Images
from client.classes import Skill, Enemy, Objects, Scale
import pygame
import math
import time
import game
all_enemies = Enemy.enemies
class Boss:
def rotate(self, original_image):
img = pygame.transform.rotate(original_image, int(self.angle) + 270)
... | null | server/classes/Bosses.py | Bosses.py | py | 6,225 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "client.classes.Enemy.enemies",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "client.classes.Enemy",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygame.transform.rotate",
"line_number": 14,
"usage_type": "call"
},
{
"api_... |
282706674 | from datetime import datetime
from sklearn_evaluation.Logger import Logger
import pandas as pd
from sqlalchemy import create_engine
from lib_cinci.config import main
from lib_cinci.predict_on_schema import predict_on_schema
from lib_cinci.evaluation import add_inspections_results_for
from lib_cinci.db import uri
# g... | null | field_test_preparation/generate_list.py | generate_list.py | py | 3,635 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn_evaluation.Logger.Logger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "lib_cinci.config.main",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "lib_cinci.config.main",
"line_number": 37,
"usage_type": "name"
},
{
"api_... |
283335668 | import requests
import json
from bs4 import BeautifulSoup
class Ameblo:
def __init__(self, ameba_id, ameba_password):
self.ameba_id = ameba_id
self.ameba_password = ameba_password
self.session = requests.session()
self.login()
def login(self):
try:
data = {... | null | ameblo.py | ameblo.py | py | 2,510 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
369049867 | #!/bin/python
"""
REPLACE WITH DESCRIPTION
Author : jkb (Jaime Kershaw Brown)
Date : 21/10/2019
"""
#! /usr/bin/env python3
try:
import serial
except ImportError as message:
print("Failed to import serial reader, maybe it is not installed correctly? Error was: {}".format(message))
try:
import dateti... | null | BB9.py | BB9.py | py | 6,437 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "BBX_Sensors.BBX",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
... |
641520549 | #!/usr/local/bin/python
#-*-coding:utf-8-*-
#Get market data from futures exchanges
#designed and programed by lianxiangbin(LianZhang,qq785674410)
#2014-10-21
import urllib.request
import urllib.parse
from pyquery import PyQuery
import sqlite3
import datetime
class MarketDataFromSHFE:
#define the... | null | pyalgotrade/commodity/MarketDataFromSHFEV1.py | MarketDataFromSHFEV1.py | py | 3,188 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 25,
"usage_type": "name"
},
{
"api_nam... |
148601405 | # Creating a neural network in Keras for regression on a sample dataset
# Import required libraries
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_regression
from tensorflow.keras.models import Sequential, load_model
from tensor... | null | 1. Regression + Save, Load model/regression.py | regression.py | py | 2,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.datasets.make_regression",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 26,
"usage_... |
80053878 | # -*- coding: utf-8 -*-
from importlib import import_module
import logging
log = logging.getLogger(__name__)
# Dynamically import libraries based on user preferences
def get_dynamic_class(finder_path):
module_name, class_name = finder_path.rsplit('.', 1)
module = import_module(module_name)
log.debug("Im... | null | pyconverge/BaseClassLoader.py | BaseClassLoader.py | py | 1,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 12,
"usage_type": "call"
}
] |
552149474 | #!/usr/bin/python
# coding: UTF-8
#
# TileCutter translation string finder
#
# Copyright © 2008-2011 Timothy Baldock. All Rights Reserved.
import re, time, os, codecs
import translator.w_newlines as w_newlines
import translator.u_newlines as u_newlines
import json
VERSION_NUMBER = "0.4.2"
COMPAT_VERSION_NUMBER = "0.... | null | TileCutterTranslator.py | TileCutterTranslator.py | py | 5,893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_nu... |
612761603 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pydotplus
from sklearn.externals.six import StringIO
from IPython.display import Image
from sklearn.tree import DecisionTreeClassifier, export_graphviz
from sklearn.metrics import make_scorer, f1_score, roc_curve, au... | null | .ipynb_checkpoints/visuals-checkpoint.py | visuals-checkpoint.py | py | 1,473 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.externals.six.StringIO",
"line_number": 28,
"usage_type": "call"
},
{
... |
92148407 | # Under MIT License, see LICENSE.txt
import time
from collections import deque
from RULEngine.Command.command import *
COMMUNICATION_SLEEP = 0.001
MOVE_COMMAND_SLEEP = 0.05
class SerialCommandSender(object):
def __init__(self):
self.mcu_com = McuCommunicator(timeout=0.1)
self.last_time = 0
... | null | RULEngine/Communication/sender/serial_command_sender.py | serial_command_sender.py | py | 2,387 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number":... |
543197655 | import socket
from select import *
import sys
import time
import bluetooth
import TcpNet
import datetime
HOST = "203.234.62.109"
PORT = 11000
BUFSIZE=1024
bt_addr="98:D3:71:FD:7D:59"
bt_port=1
# 아두이노 데이터 받기위한 블루투스 소켓
bt_s=bluetooth.BluetoothSocket(bluetooth.RFCOMM)
bt_s.connect((bt_addr,bt_port))
send_data=""
cnt=0
... | null | Raspberry/client.py | client.py | py | 1,829 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bluetooth.BluetoothSocket",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bluetooth.RFCOMM",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "TcpNet.TcpNet",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetim... |
534830003 | """Custom docutils / Sphinx directives specific to nengo.github.io."""
from docutils import nodes
from docutils.parsers.rst import Directive, directives
class Project(Directive):
"""The Project directive is used to describe Nengo projects.
It attempts to give an attractive and uniform appearance to
each... | null | custom.py | custom.py | py | 3,838 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "docutils.parsers.rst.Directive",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "docutils.parsers.rst.directives.unchanged_required",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "docutils.parsers.rst.directives",
"line_number": 18,
... |
90363843 | import math
import numpy as np
import scipy.special
from graphics import *
class neural_network:
def __init__(self, input_nodes, hidden_nodes, output_nodes, alpha):
# Number of nodes per layer as given
self.inodes = input_nodes
self.hnodes = hidden_nodes
self.onodes = output_nodes
... | null | neural_network.py | neural_network.py | py | 6,682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.normal",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
239457023 | """
Various utilities for data module
"""
from enum import Enum
from typing import (
Any, Dict, ItemsView, KeysView, List, Optional, Tuple, Union, ValuesView)
import numpy as np
__all__ = [
'padded_batch',
'connect_name',
'Batch',
'FieldBatch',
'_LazyStrategy',
'_CacheStrategy',
]
def p... | null | texar/torch/data/data/dataset_utils.py | dataset_utils.py | py | 3,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Union",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"li... |
103306839 | # simulates colour blindness from webcam
from PIL import Image
import numpy as np
import numpy
import cv2
#Restructuring laterally inverted image
def normalise(editablePhoto,sizeX,sizeY):
NormalPhoto = np.zeros((sizeX,sizeY,3),'float')
x=sizeX-1
for i in range(0,sizeX):
for j in range... | null | webcam.py | webcam.py | py | 4,890 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 34... |
98614003 | import tkinter as tk
from tkinter import filedialog
import tensorflow as tf
import tensorflow_addons as tfa
import cv2
from tqdm import tqdm
import numpy as np
from tkinter.messagebox import showerror
from moviepy.video.io.VideoFileClip import VideoFileClip
import os
# Load compressed models from tensorflow_hub
class ... | null | algorithms/Morphing.py | Morphing.py | py | 13,672 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_na... |
280602282 | """
The Application object. One application should be available.
All important services are present in the application object:
- plugin manager
- undo manager
- main window
- UML element factory
- action sets
"""
import logging
import functools
import pkg_resources
from gaphor.event import ServiceInitializedEve... | null | gaphor/application.py | application.py | py | 6,654 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pkg_resources.iter_entry_points",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "gaphor.abc.Service",
"line_number": 78,
"usage_type": "argument"
},
{
"api_name... |
443407437 | import os
import sys
import glob
import shutil
import argparse
import cv2
import numpy as np
from keras.models import load_model
from tqdm import trange
from utils.datasets import get_labels
from utils.inference import detect_faces
from utils.inference import draw_text
from utils.inference import draw_b... | null | src/run_demo_on_video.py | run_demo_on_video.py | py | 5,910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "utils.datasets.get_labels",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "utils.data... |
54634874 | import os
import numpy as np
from dgl.data import DGLDataset
from dgl.data.utils import download, extract_archive
from dgl.convert import graph as dgl_graph
from dgl.transform import to_bidirected
from dgl import backend as F
from rdkit import Chem
from rdkit.Chem.rdchem import HybridizationType
from rdkit.Chem.rdchem... | null | QM9Edge.py | QM9Edge.py | py | 7,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dgl.backend.tensor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dgl.backend",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "dgl.data.DGLDataset",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "rdkit.Chem.rdchem.... |
95122019 | # -*- coding: utf-8 -*-
# =============================================================================
# AUTHOR: Manoel Brunnen, manoel.brunnen@gmail.com
# CREATED: 14.07.2016
# LICENSE: MIT
# FILE: agents.py
# =============================================================================
"""The agent mod... | null | hamas/agents.py | agents.py | py | 14,034 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "asyncio.Queue",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "collecti... |
293636231 | # encoding: utf-8
# @Author : YNatsu
# @Time : 2020/2/20 11:46
# @Title: : multi output
import tensorflow as tf
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
import pandas as pd
import matplotlib.pyplot as plt
import os
import seaborn as sns
sns.set()
hou... | null | Regression/wide_deep_multi_output.py | wide_deep_multi_output.py | py | 1,945 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 18,
"usage_type": "call"
},
{
... |
483643818 | import os,sys
from subprocess import Popen, PIPE
from ..StructFeatComputer import StructFeatComputer, FeatureComputerException
from utils import myMakeDir, tryToRemove #utils is at the root of the package
class PSAIAComputer(StructFeatComputer):
'''
Extends StructFeatComputer class. Computes PSAIA (asa, hidrofobi... | null | computeFeatures/structStep/PSAIA/computePSAIA.py | computePSAIA.py | py | 7,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "StructFeatComputer.StructFeatComputer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "StructFeatComputer.StructFeatComputer.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "StructFeatComputer.StructFeatComputer",
"line_number": 19... |
18801900 | import numpy as np
import matplotlib.pyplot as plt
from replay import play_trajectory
import utils
import random
from itertools import product
ROWS = 15
COLS = 15
SEED = 43
COMPLEXITY = 1
DENSITY = 1
discount_fact = 1.
def solve_maze_complete(maze_env):
# run Floyd-Warshall algorithm to find the shortest... | null | src/build_maze_trajectories.py | build_maze_trajectories.py | py | 7,251 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ones",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line... |
613880384 | import logging
import os
import os.path
import sys
import click
import six
import tabulate
from pkg_resources import get_distribution
from pbr import packaging, version
from skipper import git
from skipper import runner
from skipper import utils
DOCKER_TAG_FOR_CACHE = "cache"
@click.group()
@click.option('-v', '--... | null | skipper/cli.py | cli.py | py | 17,222 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.DEBUG",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "skipper.utils.configure_logging",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
250749320 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^logout$', views.logout_view, name='logout'),
url(r'^requests/new', views.new_request, name='new_request'),
url(r'^requests/create', views.create_request, name='create_request'),
url(r... | null | intake/urls.py | urls.py | py | 1,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
431852960 | # %% 異なる平均を持つ正規分布でもよいことを確認
import numpy as np
import matplotlib.pyplot as plt
sigma = 2
mu = [1, 2]
# mu = [8, 12]
n = [10, 15]
num_it = 1000
s2r_list = []
for it in range(num_it):
x = [np.random.randn(n[i], 1) * sigma + mu[i] for i in range(2)]
# %%
xbar = [x[i].mean() for i in range(2)]
# print(xba... | null | code/fdist/compare_Fdist.py | compare_Fdist.py | py | 805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.randn",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist... |
251950959 | from flask_login import login_required
from flask import url_for, render_template, current_app, request
from app.models import Post
from app.main import bp
@bp.route('/', methods=['GET', 'POST'])
@bp.route('/index', methods=['GET', 'POST'])
@login_required
def index():
page = request.args.get('page', 1, type=int)
... | null | app/main/routes/index.py | index.py | py | 776 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.request.args.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "app.mode... |
194411555 | import networkx as nx
import pandas as pd
from node2vec import Node2Vec
from gensim.models import KeyedVectors
from collections import defaultdict
from EvalUtils import EvalUtils
# g = nx.read_weighted_edgelist("../datasets/redditdataset_75.txt", create_using=nx.DiGraph())
# gtest= nx.read_weighted_edgelist("../datase... | null | fof_embedding/test.py | test.py | py | 2,382 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "networkx.read_weighted_edgelist",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "networkx.DiGraph",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "networkx.read_weighted_edgelist",
"line_number": 16,
"usage_type": "call"
},
{
"... |
247105887 | import configparser
import os.path
import sys
sys.argv[1:]
cred_file_path='/root/.aws/credentials'
def write_ini_section(cred_file_path,aws_access,aws_secret):
config = configparser.ConfigParser()
config.read(cred_file_path)
if config.has_section('terraform'):
config.set('terraform','aws_access_ke... | null | scripts/aws_conf.py | aws_conf.py | py | 1,585 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "confi... |
518902083 | """
.. _tut-fnirs-cui:
Signal enhancement techniques
=============================
In this document we investigate the effect of different signal enhancement
techniques on NIRS data.
.. warning::
This is a work in progress. Suggestions of improvements are
appreciated. I am finalising the code, then will... | null | examples/plot_20_cui.py | plot_20_cui.py | py | 6,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mne.datasets.fnirs_motor.data_path",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "mne.datasets",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.... |
204459435 | from glob import glob
import json
import pymongo
mongo = pymongo.MongoClient("mongodb://localhost:27017/")
artdb = mongo["art"]
arttable = artdb["collection"]
files = glob("art/**/*.jpg", recursive=True)
data = {}
for f in files:
cleaner = f.replace("\\\\","\\")
parts = cleaner.split("\\")
category = part... | null | data.py | data.py | py | 761 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 9,
"usage_type": "call"
}
] |
351656614 | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from forms import SignatureForm
from jungle.models import Code
def profile(request, user_id=None, template_name="jungle/account/profile.html"):
v... | null | code_jungle/jungle/accountviews.py | accountviews.py | py | 1,203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
... |
533787973 | import logging
from .models import RequestLog, RequestCounter
logger = logging.getLogger(__name__)
class RequestLoggingMiddleware(object):
META_FIELDS = ['REQUEST_METHOD',
'REMOTE_ADDR',
'HTTP_USER_AGENT',
'HTTP_REFERER',
'HTTP_ACCEPT_LA... | null | apps/hello/utils.py | utils.py | py | 1,157 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "models.RequestCounter.objects.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.RequestCounter.objects",
"line_number": 32,
"usage_type": "attribute"
},
{
... |
321999774 | from django.shortcuts import render_to_response
from django.template import RequestContext
from ..classes import site_mappers
from ..exceptions import MapperError
def set_section(request, **kwargs):
"""Plot items of a the whole ward to assign a ward section by selecting items.
Filter points to plot by sendin... | null | edc/map/views/set_section.py | set_section.py | py | 2,809 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "classes.site_mappers.get_registry",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "classes.site_mappers",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "exceptions.MapperError",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
79958326 | #
# Copyright (c) 2023 Airbyte, Inc., all rights reserved.
#
import json
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Iterable, List, Mapping, MutableMapping, Tuple, Union
import pendulum
import pytest
from airbyte_cdk.models import AirbyteMessage, AirbyteStateMessage, AirbyteS... | null | dts/airbyte/airbyte-integrations/bases/connector-acceptance-test/connector_acceptance_test/tests/test_incremental.py | test_incremental.py | py | 15,754 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.skip",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "connector_acceptance_test.config.Config.TestStrictnessLevel",
"line_number": 25,
"usage_type": "attribute"
},
... |
63165656 | __author__ = 'root'
from dbservices import apilogs
from opsviewapi.models import ApiLog
from exc.exceptions import ApiLogError
from django.utils import timezone
import logging
logger = logging.getLogger(__name__)
def write_api_log(log_obj=None, time_stamp=None, device_info=None, description=None, status=None, devic... | null | utils/apilog.py | apilog.py | py | 1,137 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "opsv... |
131932109 | from mezzanine.pages.page_processors import processor_for
from startupweekenddo.models import QuestionCategory, Event, PressRelease
from collections import OrderedDict
@processor_for('startup-weekend')
def add_faq(request, page):
cats = QuestionCategory.objects.all()
questions = OrderedDict()
for cat in ... | null | startupweekenddo/page_processors.py | page_processors.py | py | 722 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "startupweekenddo.models.QuestionCategory.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "startupweekenddo.models.QuestionCategory.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "startupweekenddo.models.QuestionCategory... |
75091956 | #!/usr/bin/python
#coding:utf-8
import wx
"""
app = wx.App() #创建一个主循环
frame = wx.Frame(None) #实例化一个窗口
frame.Show() #调用窗口的展示功能
app.MainLoop() #启动主循环
def test(event):#event 是必须加的参数
'''
get
set
'''
pathText.SetValue("你好")
"""
def test(event):#event 是必须加的参数
with open(pathText.G... | null | python/gui/wx/test.py | test.py | py | 960 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.App",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "wx.Button",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "wx.Button",
"line_number": 27,
"usa... |
45645606 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri May 4 21:55:06 2018
This snippet is about using logistic regression for classification
@author: pierre
"""
#%% Imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import datasets
from ... | null | supervised/linear_models/logistic_regression.py | logistic_regression.py | py | 1,386 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 35,
"usage_type": "call"
},
{
"a... |
597662577 | import torch
import torch.nn as nn
import torch.nn.functional as F
class EncoderRNN(nn.Module):
def __init__(self, input_size, hidden_size, amp, n_layers, direction, dropout):
super().__init__()
self.n_layers = n_layers
self.hidden_size = hidden_size
self.direction = direction
... | null | early/_model.py | _model.py | py | 2,972 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.GRU",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
3678183 | import pymongo
from datetime import datetime
from app_movie import conn
from app_movie.models import User, Movie, Comment, InviteCode, LikedMovie
# User
def add_user(form):
has_registered = conn.User.find_one({'username': form.username.data})
if has_registered:
return None
else:
is_invite... | null | app_movie/db_helper.py | db_helper.py | py | 5,681 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app_movie.conn.User.find_one",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app_movie.conn.User",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "app_movie.conn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "... |
478509968 | """
ShuffleNetV1 from the paper
"ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
by Xiangyu Zhang et al, Face++, CVPR 2018
"""
# imports
import torch
import torch.nn as nn
from torch.hub import load_state_dict_from_url
# shufflenetv1 variants
__all__ = [
'ShuffleNetV... | null | model/shufflenetv1.py | shufflenetv1.py | py | 17,609 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number"... |
431671103 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Ed Mountjoy
#
import sys
import os
import argparse
import pandas as pd
import requests
import json
from pprint import pprint
def main():
# Parse args
args = parse_args()
# Get each study from the api
data = []
for i, study in enumerate(yield_stud... | null | scripts/make_gwas_cat_study_table_API.py | make_gwas_cat_study_table_API.py | py | 4,688 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_n... |
456890575 | import ctypes as ct
import cairo
import cv2
import numpy as np
from PIL import Image
_initialized = False
def create_cairo_font_face_for_file(filename, faceindex=0, loadoptions=0):
"""given the name of a font file, and optional faceindex to pass to FT_New_Face" \
" and loadoptions to pass to cairo_ft_font_f... | null | digit_ocr.py | digit_ocr.py | py | 16,691 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ctypes.CDLL",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ctypes.CDLL",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "ctypes.c_void_p",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "ctypes.c_void_p",
"l... |
601107315 | from django.db import models
from django.db.models.signals import post_save
from django.dispatch import receiver
import web.tasks as tasks
class RequestCrawling(models.Model):
url = models.URLField(unique=True)
is_finished = models.BooleanField(default=False)
def __str__(self):
return self.url
... | null | web/models.py | models.py | py | 1,150 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.URLField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "d... |
150478429 | import os
import uuid
from flask import Flask, request, render_template, redirect, url_for, session, flash
from Model.database import create_database_and_tables, get_books_by_text_and_col, \
save_book_to_cart, get_books_in_cart, remove_book_by_isbn_and_id, \
update_book_units_after_purchase, remove_all_books_i... | null | app.py | app.py | py | 4,026 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "Model.database.create_database_and_tables",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
217176098 | from distutils.dir_util import copy_tree
import shutil
from accounts.models import AdvertiserProfile
from AdRecords.models import Image
import json
from django.template import loader
class BlippingEngine:
def blip_generator(self, request, image_property_id):
global image_engine_path_json
image_engi... | null | BlippingEngine/phase_one.py | phase_one.py | py | 2,031 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "accounts.models.AdvertiserProfile.objects.all",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "accounts.models.AdvertiserProfile.objects",
"line_number": 21,
"usage_type": "att... |
563726028 | from datetime import datetime, timedelta
from dateutil.relativedelta import relativedelta
from .models import AdultInHome, Application
from application.services.db_gateways import NannyGatewayActions, HMGatewayActions
from django.conf import settings
import logging
log = logging.getLogger(__name__)
def generate... | null | application/business_logic.py | business_logic.py | py | 6,686 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.ti... |
129612084 | from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.contrib.auth.decorators import login_required
from django.db.models import Count, Sum, Q
from django.views.decorators.csrf import csrf_exempt
# serializer
from django.core.serializers import serialize
# models
from .mod... | null | property/views.py | views.py | py | 5,328 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.ParcelInfo.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.ParcelInfo.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "models.ParcelInfo",
"line_number": 22,
"usage_type": "name"
},
{
"ap... |
256595133 | import collections
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# Recursive - DFS
class Solution:
"""
Time Complexity: O(N) where N is the number of nodes
Space Comple... | null | Problems/Leetcode/1448_CountGoodNodesInBinaryTree.py | 1448_CountGoodNodesInBinaryTree.py | py | 1,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 41,
"usage_type": "call"
}
] |
144972575 | import numpy as np
import matplotlib.pyplot as plt
from latent_crf import LatentGridCRF
from latent_structured_svm import StupidLatentSVM
import toy_datasets as toy
from IPython.core.debugger import Tracer
tracer = Tracer()
def main():
#X, Y = toy.generate_crosses_latent(n_samples=25, noise=10)
#X, Y = toy... | null | examples_latent_crf.py | examples_latent_crf.py | py | 2,633 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "IPython.core.debugger.Tracer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "toy_datasets.generate_easy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "latent_crf.LatentGridCRF",
"line_number": 21,
"usage_type": "call"
},
{
"... |
199812421 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.db.models.fields.related_descriptors import (
ForwardManyToOneDescriptor,
ManyToManyDescriptor,
)
class TestClassesValidity(object):
def test_categories_model_integrity(self):
from tests.testproject.model... | null | tests/test_models.py | test_models.py | py | 2,972 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.testproject.models.Category",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tests.testproject.models.Category",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.fields.related_descriptors.ManyToManyDescriptor",
"line_... |
584409823 | import inspect
from dataclasses import dataclass
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence
from weakref import WeakKeyDictionary
import catalogue
from confit import Config, Registry
from confit.registry import RegistryCollection
import edspdf
from edspdf.utils.collections import Froze... | null | edspdf/registry.py | registry.py | py | 6,892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "weakref.WeakKeyDictionary",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "inspect.sig... |
588240393 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Python 2.7
# PaEllipse2016wx.pyw
import wx, math
conf__nCount = 40
conf__strColor = '#FFFF00'
conf__strBackgroundColor = '#000000'
PI2 = math.pi * 2
class PaEllipseDef:
x, y, a, b, angle, rotate = (0, 0, 0, 0, 0, 0)
def __init__(self):
pass
def __init__(self, x, y,... | null | Python-2016/Python-2016-wx/PaEllipse2016wx.pyw/PaEllipse2016wx.pyw | PaEllipse2016wx.pyw | pyw | 2,860 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.pi",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_num... |
626654627 | # プログラム2.12
import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# データの準備
def prepare():
# 世界の気温を記録したデータをダウンロードして読み込む
#!kaggle datasets download -d schedutron/global-temperatures
get_ipython().system('unzip global-tem... | null | py/prog2-12.py | prog2-12.py | py | 2,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",... |
376164300 | from decimal import Decimal
from random import randint
from app_goods.models import Item
from django.test import TestCase
from django.urls import reverse
NUMBER_OF_ITEMS = 10
class ItemsTest(TestCase):
@classmethod
def setUpTestData(cls):
for item_index in range(NUMBER_OF_ITEMS):
Item.obje... | null | board/app_goods/tests.py | tests.py | py | 887 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "app_goods.models.Item.objects.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app_goods.models.Item.objects",
"line_number": 13,
"usage_type": "attribute"
}... |
467618681 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Multiple algorithms for sorting oTree players
"""
# =============================================================================
# IMPORTS
# =============================================================================
import itertools
import random
f... | null | matching.py | matching.py | py | 1,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "six.moves.range",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "itertools.chain.from_iterable",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "ra... |
173250071 | from datetime import datetime, timedelta
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import json
import smtplib
from .format import format_figaro, format_gh, format_guardian, format_ph, format_weather
today = datetime.now()
yesterday = today - timedelta(1)
with open("config.js... | null | mail/__init__.py | __init__.py | py | 1,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
511646979 | import asyncio
import socket
from time import time
import struct
import logging
import shlex
import subprocess
import re
async def icmp_recv(expected=3):
# Get a reference to the current event loop because
# we want to access low-level APIs.
loop = asyncio.get_running_loop()
# Listen for ICMP packets
... | null | misc/pmtud.py | pmtud.py | py | 3,656 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.get_running_loop",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "socket.SOC... |
30485049 | from os import path
from flask import render_template, request, abort, redirect, url_for
from . import app, db, search, reviews, twitter
# home page
@app.route("/")
def home():
# verifica la presenza della cartella "instance" e del database in essa
if not path.isdir(app.instance_path):
return render_... | null | dimdb/pages.py | pages.py | py | 3,659 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"lin... |
622639873 | from game_character import GameCharacter
from explorer import Explorer
from medic import Medic
from termcolor import colored, cprint
import datetime
import time
import random
# import winsound
class Warrior(GameCharacter):
def __init__(self, name, health, strength):
self.popularity = 0
... | null | warrior.py | warrior.py | py | 4,466 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "game_character.GameCharacter",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "termcolor.colored",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "term... |
340513732 | from flask import json
from .base_test import BaseTest
class TestUser(BaseTest):
def test_user_signup(self):
response = self.client.post("api/v2/auth/signup", data=json.dumps(self.sample_user), content_type="application/json")
result = json.loads(response.data)
print(result)
self... | null | app/tests/v2/test_user.py | test_user.py | py | 516 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base_test.BaseTest",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask.json.dumps",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.json.loads",
"l... |
647727065 | #!/usr/bin/env python3
"""This module converts `csv` to `ledger`."""
import sys
import csv
import argparse
import configparser
LINE_LENGTH = 50
WHITESPACE_INDENT_LENGTH = 2
WHITESPACE_INDENT = ' ' * WHITESPACE_INDENT_LENGTH
def get_parameters():
"""Return the parameters."""
parser = argparse.ArgumentParser... | null | scripts/csv_to_ledger.py | csv_to_ledger.py | py | 2,905 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "csv.... |
323560825 | # redis has a client server architechture
# uses request-response cycle
# remote dictionary service
import redis
import datetime
import random
import logging
r = redis.Redis()
r.mset({"bd": 'dhaka', 'usa': 'washington dc'})
# output will show bytestring
print(r.get('bd'))
# so we may call like the following depending ... | null | RemoteDictService.py | RemoteDictService.py | py | 3,890 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "redis.Redis",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"... |
419612912 |
import re
import numpy as np
import scipy
from scipy import spatial
f = open('sentences.txt', 'r')
data = f.readlines()
f.close()
words = {}
d=0
for line in data:
l1 = re.split('[^a-z]', line.lower())
for x in l1:
if x is not '':
if x not in words:
words... | null | distance cosine.py | distance cosine.py | py | 865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 35,
... |
491860364 |
import json
from django.shortcuts import render
from django.views.generic import View
from django.http import Http404, JsonResponse
from rest_framework import authentication, permissions, serializers, status
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.parse... | null | src/orders/views.py | views.py | py | 3,558 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "rest_framework.authentication.SessionAuthentication",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.authentication",
"line_number": 19,
... |
79414487 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 1 17:43:18 2018
@author: neha
code for sumbission file creation
"""
import os
import sys
import random
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
import seaborn as sns
sns.set_style("whit... | null | TGSsalt/submit_1ch_fold3.py | submit_1ch_fold3.py | py | 22,163 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
404530882 | # !/usr/bin/env python3
#coding=utf-8
'''
智策apm
'''
import configparser,os.path
import os,subprocess
from common.setCookie import Set_Cookie
current_path = os.path.abspath(__file__)
from common.logger import Logger
logger = Logger(logger="run_apm_zhice_Test").get_log()
#读写config.ini文件，初始化修改URL地址，区分线上和测试环境。
def modify... | null | run_haotian_apm_zhice_cases.py | run_haotian_apm_zhice_cases.py | py | 1,374 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "common.logger.Logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigPa... |
439682526 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 28 10:04:34 2019
@author: npchen
"""
# Import PyQt Widgets for PyQt5 version
from PyQt5.QtWidgets import QApplication, QMainWindow
# Import pyqtSlot to connect sliders and DoubleSpinBox signals
from PyQt5.QtCore import pyqtSlot
# Import Ui_MainW... | null | demo_MainApp.py | demo_MainApp.py | py | 15,779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "UiMainApp.Ui_MainWindow",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow.__init__",
"line_number": 45,
"usage_type": "call"
},
... |
62380122 | import psycopg2
from flask import Flask, g
app = Flask(__name__)
from giraffe_gui import index, db
@app.before_request
def get_db():
if not hasattr(g, 'conn'):
with open('/usr/local/etc/giraffe-gui.config', 'rt') as f:
dsn = f.read().strip()
g.conn = psycopg2.connect(dsn)
g.c... | null | gui/giraffe_gui/__init__.py | __init__.py | py | 392 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask.g.conn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number":... |
631142945 | """root-3d-segmentation analysis."""
import os
import json
import logging
import argparse
from jicbioimage.core.io import AutoName, AutoWrite
from jicbioimage.segment import SegmentedImage
from jicbioimage.core.image import Image3D
from setup_image_data import get_data_manager
from utils import ColorImage3D
from seg... | null | scripts/analyse_series.py | analyse_series.py | py | 6,991 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jicbioimage.core.io.AutoName.prefix_format",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "jicbioimage.core.io.AutoName",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
... |
344716802 | # -*- coding: utf-8 -*-
"""
adam.domain.contact.py
~~~~~~~~~~~~~~~~~~~~~~
'contact' resource and schema settings.
:copyright: (c) 2016 by Nicola Iarocci and CIR2000.
:license: BSD, see LICENSE for more details.
"""
import copy
from collections import namedtuple
from .topology import url_map
from... | null | adam/domain/contact.py | contact.py | py | 1,904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "common.key.company",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "common.key",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "common.key.... |
230282638 | from TermID import termID
from DocumentID import documentID
import json
# creating a class to create the InvertedIndex. Using the termID List to make things easier.
class invertedIndex:
def __init__(self):
self.termIDList = None
self.termToDocStats = {}
self.documentIDs = None
#used to return the termID list
... | null | CS6200/Assignment2/InvertedIndex.py | InvertedIndex.py | py | 3,337 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "TermID.termID",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "DocumentID.documentID",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "DocumentID.documentID",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "json.dump",... |
95511588 | #!/usr/bin/python3
"""
Base class
"""
import json
import os
class Base():
"""Base
class
manager"""
__nb_objects = 0
def __init__(self, id=None):
"""constructor"""
if id is not None:
self.id = id
else:
Base.__nb_objects += 1
self.id = Bas... | null | 0x0C-python-almost_a_circle/models/base.py | base.py | py | 2,018 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "models.square.Square",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "models.rectangle.Rectangle... |
106165523 | import os
import boto3
from lakecli.iam.orm import TablePrivilege, DatabasePrivilege, init, model_db_close
class Scanner:
def __init__(self, aws_config, path):
self.aws_config = aws_config
self.path = os.path.expanduser(path)
if os.path.exists(self.path):
os.remove(self.path)
... | null | lakecli/iam/scanner.py | scanner.py | py | 2,351 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.expanduser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
451100614 | from django.conf.urls import include, url
from ribbit_app import views
from livestreams_api.urls import urlpatterns as livestreams_api_urls
from ribbit import settings
from django.contrib import admin
from django.http import HttpResponse
from django.views.generic import TemplateView
admin.autodiscover()
# Uncomment t... | null | liveon/urls.py | urls.py | py | 3,421 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 31,
"usage_type": "call"
},
{
"api_nam... |
214792273 | import torch
import torch.nn as nn
from torch_geometric.nn import GCNConv
from torch_geometric.data import Data as GraphData
from torch_geometric.data import Batch as GraphBatch
import torch.nn.functional as F
from torch.nn import init
import functools
from torch.optim import lr_scheduler
from torchvision import models... | null | models/networks2.py | networks2.py | py | 29,911 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.nn.BatchNorm2d"... |
582330857 | #!/usr/bin/python3
import json
import math
import sys
from PIL import Image
from jinja2 import Template
PIXEL_SIZE = 5
WEBSITE_NAME = "pixelart.html"
if len(sys.argv) == 2:
sample_image = sys.argv[1]
elif len(sys.argv) > 2:
print("Usage: pxlator.py <image.jpg>")
exit()
else:
sample_image = input("Ima... | null | pxlator.py | pxlator.py | py | 2,456 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_numbe... |
503600526 | from core_model import LanguageInterpreter
import tools as tls
class BotCore(object):
def __init__(self):
self.interpreter = LanguageInterpreter()
# Here the interpreter is an LanguageInterpreter object,which means that you have to use interpreter.interpreter
# to get access to the real i... | null | bot_core.py | bot_core.py | py | 1,283 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core_model.LanguageInterpreter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tools.counting_section",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tools.judging_entity",
"line_number": 21,
"usage_type": "call"
},
{
"api_nam... |
466151301 | import bs4
import requests
url = 'https://id.carousell.com/carousell_id/'
contents = requests.get(url)
#print(contents.text)
response = bs4.BeautifulSoup(contents.text, 'html.parser')
#print(response)
data = response.find_all('div','D_afo D_aS M_hs D_aU M_hu')
print(data[0].text)
| null | start.py | start.py | py | 288 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
189379209 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: zparteka
"""
""" Calculate Measure of Concordance as described in Comparison of computational methods forthe identification of
topologically associating domains Genome Biology 2018"""
import argparse
from tools.measure_of_concordance import calculate_moc, re... | null | moc.py | moc.py | py | 1,184 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
... |
447219975 | #!/usr/bin/python3
"""This is the base model class for AirBnB"""
import uuid
from datetime import datetime
import models
from sqlalchemy import Column, Integer, String, DateTime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
kronos = "%Y-%m-%dT%H:%M:%S.%f"
Base = decla... | null | models/base_model.py | base_model.py | py | 2,607 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
115120280 | #! /usr/bin/env python
# -*- coding:utf-8 -*-
import pika
import sys
credentials = pika.PlainCredentials("admin", "admin")
connection = pika.BlockingConnection(pika.ConnectionParameters(
"138.128.220.107",
credentials=credentials,
))
channel = connection.channel()
channel.exchange_declare(exchange='logs',
... | null | pika_and_ribbitmq/emit_log.py | emit_log.py | py | 591 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pika.PlainCredentials",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
25722260 | #Utility.py holds the draw function and future utility functions.
#TDDUP pre-Alpha
import pygame
class screenDisplay():
# !!!!!!!!!!!!!!! private attributes !!!!!!!!!!!!!!!
__defualtWidth = 1
__defualtHeight = 1
__black = (0,0,0)
__priorityRefList = []
__initRun = False
# !!!!!!!!!!!!!!... | null | source/utility.py | utility.py | py | 3,626 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.display.Info",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.Info",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "pygame.di... |
251744621 | from n6sdk.data_spec.fields import *
from necoma.common import *
from datetime import datetime
class DnsPcapsDataBackendApi(object):
@staticmethod
def parse(auth_data, params, query_result, **kwargs):
for data in query_result:
if data[2].find('.') > 1 or data[4].find('.') > 1:
... | null | dns_pcaps.py | dns_pcaps.py | py | 1,174 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "name"
}
] |
509229606 | import komand
import json
import requests
from .schema import UserInput, UserOutput
class User(komand.Action):
def __init__(self):
super(self.__class__, self).__init__(
name='user',
description='Get user information',
input=UserInput(),
outpu... | null | bitbucket/komand_bitbucket/actions/user/action.py | action.py | py | 1,755 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "komand.Action",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "schema.UserInput",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "schema.UserOutput",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
307582178 | #! /usr/bin/env python
# -*- coding: utf-8 -*
import collections
from census_data_downloader.core.tables import BaseTableConfig
from census_data_downloader.core.decorators import register
@register
class EducationDownloader(BaseTableConfig):
PROCESSED_TABLE_NAME = 'education'
UNIVERSE = "population 25 Years a... | null | census_data_downloader/tables/education.py | education.py | py | 4,046 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "census_data_downloader.core.tables.BaseTableConfig",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 80,
"usage_type": "cal... |
478572359 | # specfn.py - Average time-frequency energy representation using Morlet wavelet method
#
# v 1.10.2-py35
# rev 2017-02-21 (SL: fixed an issue with indexing)
# last major: (SL: more comments on the units of Morlet Spec)
import os
import sys
import numpy as np
import scipy.signal as sps
import matplotlib.pyplot as plt
i... | null | specfn.py | specfn.py | py | 37,901 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "paramrw.read",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
442589783 | import mock
import pytest
from distutils.errors import DistutilsSetupError
from setuptools_git_version import format_version, set_package_info
@pytest.mark.parametrize('git_describe, version', [
('v25.6-879-gca0be43', 'v25.6.dev879+ca0be43'),
('28-0-gca0be43', '28'),
('28.0-0-gca0be43', '28.0'),
('28.... | null | tests.py | tests.py | py | 1,405 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools_git_version.format_version",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_... |
403722413 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Project Euler Problem 88
=======================
A natural number, N, that can be written as the sum and product of a given
set of at least two natural numbers, {a[1], a[2], ... , a[k]} is called a
product-sum number: N = a[1] + a[2] + ... + a[k] = a[1] * a[2] * ... *
... | null | project-euler/solvers/euler088.py | euler088.py | py | 1,711 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ntpath.basename",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "common.shared_functions.verify_so... |
404509219 | import cv2
import numpy as np
def detect(filename):
face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
gray = cv2.cvtColor(filename, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(np.copy(gray), 1.3, 5)
... | null | Capitulo4/detecting-recognizing-faces-video.py | detecting-recognizing-faces-video.py | py | 1,024 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2G... |
543955558 |
import pandas as pd
import numpy
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import OneHotEncoder
from sklearn.model_selection import train_test_split
dataset = pd.read_csv('50_startups.csv')
#print(dataset)
y = dataset['Profit']
y = y... | null | mlcode.py | mlcode.py | py | 1,111 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 29,
"usage_type": "call"
},
{
... |
468986477 | import matplotlib.pyplot as plt
import numpy as np
from ROOT import TFile, TTree, TProfile, TH3F,TGraph, TProfile2D
from mpl_toolkits.mplot3d import Axes3D
from tools import *
#importation des données
filename = '../charged_hadrons_100k.root'
root_file = TFile(filename)
tree = root_file.Get('s')
my_profile = TProfile... | null | brouillon/profile_data0.py | profile_data0.py | py | 2,847 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ROOT.TFile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ROOT.TProfile2D",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_numbe... |
31564394 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
迭代器
"""
from collections import Iterable
# 可迭代对象：list,tuple,dict,set,str....
d = {'a': 1, 'b': 2, 'c': 3}
# 默认迭代的是 key
for key in d:
print(key)
# 迭代值
for value in d.values():
print(value)
# 迭代值、对象
for k, v in d.items():
print(k, '--->', v)
# 迭代字符串... | null | 02.data_structure/ietarion.py | ietarion.py | py | 744 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Iterable",
"line_number": 34,
"usage_type": "argument"
}
] |
547093757 | import numpy as np
from sklearn.neighbors import KDTree
import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
from scipy.spatial.distance import pdist, euclidean
from Data import Data
"""
Converts Cloud points to Graph
"""
class ToGraph:
def __init__(self, Data):
self.Data = Data
... | null | ToGraph.py | ToGraph.py | py | 7,656 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Data.Data",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scipy.spatial.distance.pdist",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors... |
180764081 | """Summary
Attributes:
contract_ranking (list): Description
df (TYPE): Description
per_cols (list): Description
salary_cols (list): Description
standardize (TYPE): Description
"""
import os
import re
#import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.offline as... | null | contract_comp_viz.py | contract_comp_viz.py | py | 3,738 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "data.SALARY_DATA_20_21",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "data.PER_DATA_20_21",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "data.TM_DATA_20_21",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "data.TM... |
18401246 | from __future__ import print_function
import os
import json
from gumby.experiment import experiment_callback
from gumby.modules.community_experiment_module import CommunityExperimentModule
from gumby.modules.community_launcher import CommunityLauncher
from gumby.modules.experiment_module import static_module
from gum... | null | experiments/swarm_size/swarm_size_module.py | swarm_size_module.py | py | 4,190 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gumby.modules.isolated_community_loader.IsolatedCommunityLoader",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "gumby.modules.community_launcher.CommunityLauncher",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "Tribler.community.swarmsize.co... |
558397107 | '''
Run this command
python3 excelAutomation.py sampleData.xlsx otherSampleData.xlsx
'''
import openpyxl
import pandas as pd
import sys
from datetime import date
#path = input("Enter Path: ")
path = sys.argv[1]
otherFile = sys.argv[2]
try:
wbObj = openpyxl.load_workbook(path)
except IOError:
print('First F... | null | excelAutomation.py | excelAutomation.py | py | 3,720 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel"... |
640952017 | import json
import time
from flask import Flask, make_response
from flask import request
app = Flask(__name__)
@app.route('/send', methods=['POST'])
def pwd():
with open('{}-{}.txt'.format(request.remote_addr, time.strftime('%Y%m%d%H%M%S', time.localtime())), 'a',
encoding='utf-8') as f:
f... | null | flask/get_pwd.py | get_pwd.py | py | 559 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.remote_addr",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "time.strftime... |
422820772 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import re
import time
import pexpect
import deviceHelper
from utils import Log
from testcase import TestCase
from Client import LogCapture, CommonUse
from pdu import TelnetUtils, PduHelper
class TestBinCheck(TestCase):
"""docstring for TestRcDC"""
def _... | null | Python_Java_UIautomator/case/platform/system/test_sys_bin_check.py | test_sys_bin_check.py | py | 3,988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "testcase.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "Client.CommonUse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.