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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
498662479 | #!/usr/bin/env python
# Copyright: (c) 2019, Tanner Dowhy <tanner.dowhy@usask.ca>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1'}
... | null | biolighthouse/modules/Conda/conda_install.py | conda_install.py | py | 5,087 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 74,
"usage_type": "call"
}
] |
91127038 | from symtype import KT, SymType
from scanner import Scanner
import stmts
from copy import copy
import traceback
import typez
import sys
import pygame
pygame.init()
window = pygame.display.set_mode((640, 480))
class Parser(object):
def __init__(self, program):
super(Parser, self).__init__()
self.scanner = S... | null | parser.py | parser.py | py | 7,664 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "scanner.Scann... |
283272705 | import attr
from pandas.core.util.hashing import hash_pandas_object
from dbnd._core.utils import json_utils
from dbnd._vendor import fast_hasher
from targets.value_meta import ValueMeta, ValueMetaConf
from targets.values.pandas_values import DataFrameValueType
class TestDataFrameValueType(object):
def test_df_v... | null | modules/dbnd/test_dbnd/targets_tests/values/test_dataframe_value_type.py | test_dataframe_value_type.py | py | 2,039 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "targets.values.pandas_values.DataFrameValueType.type_str",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "targets.values.pandas_values.DataFrameValueType",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "targets.value_meta.ValueMetaConf.en... |
292873195 | import os
import sys
import json
import argparse
from allennlp.commands.subcommand import Subcommand
from allennlp.common.util import JsonDict
class ConvertTREC(Subcommand):
def add_subparser(self, name: str, parser: argparse._SubParsersAction) -> argparse.ArgumentParser:
# pylint: disable=protected-acce... | null | neuclir/commands/convert_trec.py | convert_trec.py | py | 2,147 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "allennlp.commands.subcommand.Subcommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "argparse._SubParsersAction",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "attri... |
111808028 |
# coding: utf-8
# In[1]:
import preprocess as read_files
import glob
import numpy as np
# # read file
# In[2]:
ucf = read_files.UCF()
fea = glob.glob('ucf101_fea_video/*.mat')
ucf.fill(fea)
ucf.dump('fea.ucf')
ucf_test = read_files.UCF()
ucf_test.svd_data = list()
feaval = glob.glob('ucf101_fea_val_video/*.m... | null | svd_method.py | svd_method.py | py | 4,629 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "preprocess.UCF",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "preprocess.UCF",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number"... |
79197329 | # -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | null | packages/google-cloud-domains/google/cloud/domains_v1/types/domains.py | domains.py | py | 53,578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "proto.module",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "proto.Enum",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "proto.Enum",
"line_number": 100,
"usage_type": "attribute"
},
{
"api_name": "proto.Enum",
"line_... |
240641241 | import logging
logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt = '%m/%d/%Y %H:%M:%S',
level = logging.INFO)
logger = logging.getLogger(__name__)
ss="This is a test sentence."
sss="The same to last one."
logger.info("111 %s" % ss)... | null | examples/ttt.py | ttt.py | py | 339 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
}
] |
490664792 | from circuitbreaker import CircuitBreaker
from cache_driver import CacheDriver
import logging
from logstash_async.handler import AsynchronousLogstashHandler
from time import sleep
from sanic import response
# Setup elk stack
# host_logger = 'localhost'
host_logger = 'logstash'
# host_logger = 'elk'
port_logger = 50... | null | gateway2/loadbalancer.py | loadbalancer.py | py | 3,930 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logstash_async.handler.AsynchronousLogstashHandler",
"line_number": 21,
"usage_type": "call"
},
... |
485164192 | from __future__ import annotations
import climetlab as cml
import xarray as xr
from climetlab.normalize import normalize_args
from . import DATA, OBSERVATIONS_DATA_VERSION, URL, S2sDataset
from .extra import cf_conventions
from .s2s_mergers import S2sMerger
PATTERN_OBS = "{url}/{data}/{dataset}/{version}/{parameter}... | null | climetlab_s2s_ai_challenge/observations.py | observations.py | py | 3,421 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "extra.cf_conventions",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "climetlab.load_source",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "climetlab.normalize.normalize_args",
"line_number": 37,
"usage_type": "call"
},
{
"api... |
322465304 | from pandas import read_csv
import numpy as np
import matplotlib.pyplot as plt
import ConfigParser
import argparse
import seaborn as sns
WARMUP_SECS = 30
COOLDOWN_SECS = 0
def cleandf(df):
start_time = np.min(df['epoch'])
end_time = np.max(df['epoch'])
new_start_time = start_time + (WARMUP_SECS)
n... | null | MessagingSystemScripts/harware_metrics.py | harware_metrics.py | py | 2,066 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.min",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
407529485 | #!/usr/bin/env python
# -*- encoding: UTF-8 -*-
# @Author : Administrator
# @File : DatabaseUtil.py
# @Version: 1.0.0
# @Time : 2019/8/16 13:02
# @Project: reptile-python
# @Package:
# @Software: PyCharm
import os
import sqlite3
import sys
import pandas
import pymysql
def select(connect, sql):
"""
游标对象执行SQL... | null | utils/DatabaseUtil.py | DatabaseUtil.py | py | 5,462 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.OperationalError",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 110,
"usage_type": "call"
},
{
"api_... |
620830208 | # Create your views here.
from django.shortcuts import render_to_response, get_object_or_404
from django.template import RequestContext
from arartekomaps.settings import STATIC_URL
from arartekomaps.locations.models import Location
from arartekomaps.places.models import Place
from arartekomaps.categories.models import ... | null | arartekomaps/locations/views.py | views.py | py | 2,537 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "arartekomaps.locations.models.Location.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "arartekomaps.locations.models.Location.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "arartekomaps.locations.models.Location",
... |
490515688 | import os
from celery import Celery
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ucheshi.settings')
app = Celery('ucheshi')
app.config_from_object('django.conf:settings', namespace='CELERY')
app.conf.beat_schedule = {
'get_joke_3s': {
'task': 'cheshi.tasks.get_joke',
'schedule': 3.0
}
... | null | Realtime-Broadcasting-API/ucheshi/ucheshi/celery.py | celery.py | py | 347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "celery.Celery",
"line_number": 7,
"usage_type": "call"
}
] |
161653145 | import os
import wave
import random
import tempfile
from subprocess import Popen, DEVNULL
import threading
from concurrent.futures import ThreadPoolExecutor, wait
from typing import List, Text
MIDI_PATH = './clean_midi'
SAVE_PATH = './dataset'
FREQ_TABLE_PATH = './freq_table'
SAMPLES = 100 * 3 # must be multiple of 3... | null | python/gen_wav.py | gen_wav.py | py | 3,594 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number... |
108482689 | #!/usr/bin/env python
# coding: utf-8
"""Export des ingrédients et des processes du builder"""
from bw2data.project import projects
from food.impacts import impacts as impacts_definition
import bw2calc
import bw2data
import functools
import hashlib
import json
import uuid
# Input
PROJECT = "Food"
DBNAME = "Agribalys... | null | data/food/export_builder.py | export_builder.py | py | 11,011 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bw2data.project.projects.create_project",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bw2data.project.projects",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "bw2data.config",
"line_number": 27,
"usage_type": "attribute"
},
{
... |
175381617 | # coding:utf-8
from copy import deepcopy
from typing import List, Dict
class SingerInfoGetter:
""" 获取歌手信息的类 """
def __init__(self, albumInfo_list: list) -> None:
self.albumInfo_list = deepcopy(albumInfo_list) # type:List[dict]
self.singerInfos = self.getSingerInfos(self.albumInfo_list)
... | null | app/common/meta_data_getter/get_singer_info.py | get_singer_info.py | py | 1,711 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "copy.deepcopy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 49,
"usage_type": "call"
}
] |
382450608 | # -*- coding: utf-8 -*-
"""
@author: Olav Milian Gran
"""
import datetime
import multiprocessing as mp
import sys
from time import perf_counter
import matplotlib.pyplot as plt
import numpy as np
import sympy as sym
from matplotlib.ticker import MaxNLocator
from linear_elasticity_2d_solver import LinearElasticity2DPro... | null | code_use_for_report/Example_2_Gravity_in_2D/reduced_order_error_rel_info_singular_values.py | reduced_order_error_rel_info_singular_values.py | py | 8,365 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sympy.init_printing",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 26,
"usage_type": "attribute"
},
{
... |
387664372 | import psycopg2
class WorkWithDataBase:
def __init__(self, dbname, user, password, host):
self.dbname = dbname
self.user = user
self.password = password
self.host = host
self.connection, self.cursor = self.get_connection()
# создает подключение
def get_connection(s... | null | postgresql.py | postgresql.py | py | 5,966 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "psycopg2.connect",
"line_number": 14,
"usage_type": "call"
}
] |
435359009 | import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.optim as optim
from mpl_toolkits.mplot3d import Axes3D
INPUT_SIZE = 3
HIDDEN_SIZE = 64
OUTPUT_SIZE = 3
LR = 0.01
# Create d... | null | lorenz_gru.py | lorenz_gru.py | py | 3,051 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "scipy.i... |
74839682 | #!/usr/bin/python3
"""
Review objects that will handles all default RestFul API actions
"""
from api.v1.views import app_views
from models import storage
from models.review import Review
from flask import jsonify, abort, request, make_response
from werkzeug.exceptions import BadRequest
@app_views.route('/places/<plac... | null | api/v1/views/places_reviews.py | places_reviews.py | py | 2,407 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.storage.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.abort",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
105182208 | import requests
from django.db import transaction
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.http import JsonResponse
from django.template.loader import render_to_string
from django.urls import reverse
from django.views import generic
from collections import defaultdic... | null | pipeline/views.py | views.py | py | 13,718 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pipeline.models",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pipeline.models.Pipeline.objects.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pipeline.models.Pipeline.objects",
"line_number": 21,
"usage_type": "attribute"
},... |
316336639 | #!/usr/bin/env python
import sys
import argparse
import os
import warnings
import json
import prism
import transformers
import bert_score
from scipy import stats
import matplotlib.pyplot as plt
import pandas as pd
import statistics
import csv
import seaborn as sns
import numpy as np
import datasets
__models__ = ['pri... | null | chateval_db_scores.py | chateval_db_scores.py | py | 7,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "prism.Prism",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "datasets.load_met... |
200532619 |
import requests
from sys import exit
class Finance:
indicat = [ 'Bid', 'Open', 'Ask', 'Volume','All','Exit' ]
url = "https://finance.yahoo.com/quote/AAPL?p=AAPL"
def __init__(self):
self.ShowScreen(1)
param = input("\nSelect value from the list above: ")
if(param.capi... | null | Finance_web_scraping_Exmaple.py | Finance_web_scraping_Exmaple.py | py | 2,258 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.exit",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 39,
"usa... |
299817752 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 11 11:26:12 2016
@author: SRINIVAS
"""
from bs4 import BeautifulSoup as bs
import urllib.request
t=[]
we=0
url='https://projecteuler.net/problem='
meep=input('Problem #')
url=url+meep
page = urllib.request.urlopen(url)
soup = bs(page.read())
tea=soup.findAl... | null | E find.py | E find.py | py | 380 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_nam... |
551556376 | import os, pickle
import pandas as pd
import numpy as np
import xml.etree.ElementTree as ET
TEST_ROOT = 'validate_results/py-faster-rcnn2_15000_iters100000test53107_12_10/Main/' # 模型测试结果根目录
ANNOTATIONS_ROOT = 'data/validate_annotations/Annotations/' # 标注根目录
CLASS_IDS = ['0001', '0002', '0003', '0004', '0005', '0... | null | deadline_code_results/code/calculate_rcnn2_mAP.py | calculate_rcnn2_mAP.py | py | 8,778 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.walk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number":... |
300185574 | # -*- coding: utf-8 -*-
# Author: Ke Wang
# Contact: wangke17[AT]pku.edu.cn
######################################################################################
# Packages
######################################################################################
# Basic Packages
import os
import time
import argparse
im... | null | Basic_framework/main.py | main.py | py | 2,397 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
535290133 | # Simple script to create region file from catalog
import numpy as np
from astropy.io import fits
import sys
wd='/Users/alberto/Downloads/'
input = 'bootes_LOFAR_lba_retana-montenegro18.fit'
output = 'bootes_LOFAR_lba_retana-montenegro18.reg'
size = '8'
color='yellow'
# Open the catalog
cat=fits.open(wd+input)
ra=... | null | create_regfile_from_catalog.py | create_regfile_from_catalog.py | py | 531 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 15,
"usage_type": "name"
}
] |
309860680 | import numpy as np
from keras.datasets import mnist
from keras.models import Model
from keras.layers import Dense,Input
import matplotlib.pyplot as plt
#process data
(X_train,_),(X_test,Y_test)=mnist.load_data()
X_train=X_train.astype("float32")/255-0.5
X_test=X_test.astype("float32")/255-0.5
X_train=X_train.reshape... | null | Autoencoder.py | Autoencoder.py | py | 1,361 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "keras.layers.Input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
566560367 | #! /usr/bin/python3
import numpy as np
import matplotlib.pyplot as plt
origin_data = []
processed_data = []
sample_rate = 44100
with open("fft_output.txt", 'r') as f:
origin_data = [float(x) for x in f.readline().split()]
processed_data = [float(x) for x in f.readline().split()]
y1 = np.array(origin_data)
y... | null | plot_data.py | plot_data.py | py | 625 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
275761709 | import numpy as np
import sys
if '../' not in sys.path:
sys.path.append('../')
from lib.envs.gridworld import GridworldEnv
def policy_eval(policy, env, gamma=1.0, theta=0.00001):
V = np.zeros(env.nS)
nS = env.nS
P = env.P
while True:
delta = 0
for s in range(env.nS):
v =... | null | policy_eval.py | policy_eval.py | py | 812 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_numb... |
37423887 | import sys, os
import argparse
import pandas as pd
from itertools import product
from multiprocessing import Pool
import subprocess
'''
This script joins the bias files per eta-rings intervals.
'''
parser = argparse.ArgumentParser()
parser.add_argument("-d", "--dof", type=str, help="DOF file", required=True)
parser... | null | PileupMC_v2/joinFilesByEtaRing.py | joinFilesByEtaRing.py | py | 2,082 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
512214684 | from unittest.mock import Mock
import IPython.display
from solara.server import app, kernel
def test_shell(no_app_context):
ws1 = Mock()
ws2 = Mock()
kernel1 = kernel.Kernel()
kernel2 = kernel.Kernel()
kernel1.session.websockets.add(ws1)
kernel2.session.websockets.add(ws2)
context1 = app... | null | tests/unit/shell_test.py | shell_test.py | py | 691 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.mock.Mock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "solara.server.kernel.Kernel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sola... |
361876175 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import model_utils.fields
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Vacancy',
... | null | apps/vacancies/migrations/0001_initial.py | 0001_initial.py | py | 2,510 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
464058095 | import re
from nltk.tokenize import sent_tokenize
def detect_dependency(text):
"""Attempts to determine if the claim set out in text is dependent - if it is dependency is returned - if claim is deemed independent 0 is returned as dependency """
p = re.compile('(of|to|with|in)?\s(C|c)laims?\s\d+((\sto\s\d+)|(\s... | null | app/mod_nlp/claim_processing.py | claim_processing.py | py | 2,560 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 25,
... |
16827393 | # coding=utf-8
import os
import sys
import psutil
mProc = 'desktop.exe'
mProcs = 'desktop'
mFile = '..\\RX\Record.txt'
mOutFile = '..\\PY_RXX\\ROut.txt'
replay = "test?r=replay&file={_file}&outfile={_outfile}"
def existsProc(processname):
pl = psutil.pids()
for pid in pl:
if psutil.Process(pid).name(... | null | Notes/Python/Process/UITest.py | UITest.py | py | 1,958 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "psutil.pids",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "psutil.Process",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "psutil.pids",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "psutil.Process",
"line_num... |
370492354 | __author__ = "Pruthvi Kumar, pruthvikumar.123@gmail.com"
__copyright__ = "Copyright (C) 2018 Pruthvi Kumar | http://www.apricity.co.in"
__license__ = "Public Domain"
__version__ = "1.0"
import os
from jinja2 import Environment, FileSystemLoader
from nucleus.db.cache_manager import CacheManager
class MetaGen(CacheMan... | null | nucleus/metagen.py | metagen.py | py | 2,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nucleus.db.cache_manager.CacheManager",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "jinja2.Environment",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 20,
"usage_type": "call"
},
{
"... |
261047640 | import torch
from torch import nn
from torch.utils.data import Dataset
class Engine:
def __init__(self, model, optimizer, device):
self.model = model
self.optimizer = optimizer
self.device = device
@staticmethod
def loss_fn(targets, outputs):
return nn.BCEWithLogitsLoss()(o... | null | utils_timeLSTM.py | utils_timeLSTM.py | py | 1,926 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.BCEWithLogitsLoss",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Da... |
574940043 | from memoize import memoized
def is_complete(csp, assignment):
w, h, horiz_constr, vert_constr = csp
return len(assignment) == h
@memoized
def order_domain_values(csp, var):
w, h, horiz_constr, vert_constr = csp
# calculate the possible lengths and movements
# generate the numbers by moving sequ... | null | level_32/csp_tuple.py | csp_tuple.py | py | 3,288 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "memoize.memoized",
"line_number": 9,
"usage_type": "name"
}
] |
392093911 | # Code provided under the BSD License
from xml.dom import minidom
import urllib.request
import series
import teevee_conf
import re
import time
import sys
import pickle
import tweepy
DEBUG = True
PROD = True
# _________________________________________________________
# Finds a node that matches the given attributes wi... | null | pyvee.py | pyvee.py | py | 13,963 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "teevee_conf.newzbin_user",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "teevee_conf.newzbin_pwd",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 48,
"usage_type": "call"
},
... |
544688601 | import vcf
import sys
import os
import json
from collections import Counter, defaultdict
import pysam
import sqlite3
import cStringIO as StringIO
from threadpool import ProducerConsumer
from utils import removeFiles
def consumer(con, returndata):
cur = con.cursor()
for dat in returndata:
if not dat:
... | null | scripts/utils/vcfmod.py | vcfmod.py | py | 3,580 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "vcf.Reader",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cStringIO.StringIO",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "vcf.Reader",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "cStringIO.StringIO",
"li... |
372412912 | import numpy as np
import random
import matplotlib.pyplot as plt
import pickle
infile = open('maze_examples\maze4x6.pckl', 'rb')
data = pickle.load(infile)
infile.close()
print(data)
nr, nc = data.shape # number of rows and columns in array
pc = [] # will contain open points along the boarder
pr = []
for i, m in ... | null | maze_runner.py | maze_runner.py | py | 2,655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",... |
379337612 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 26 14:04:02 2021
@author: tfahry
"""
import pandas as pd
ldf = pd.read_csv('Lateness.csv', index_col='Date')
locset = list(set(ldf['Geography']))
loclist = []
temploc = []
for loc in ldf['Geography']:
if ';Terminate' in loc:
temploc.append(loc)
loc... | null | path-variance-preprocessing.py | path-variance-preprocessing.py | py | 2,812 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_... |
43143127 | # -*- coding: utf-8 -*-
import numpy as np
import cv2
# Função para gerar a peleta de cores com um início e fim de cor definida pelo usuário
def palette( b1, g1, r1, b2, g2, r2):
b = np.linspace(b1, b2, 256)
g = np.linspace(g1, g2, 256)
r = np.linspace(r1, r2, 256)
p1 = np.tile( b.reshape(256... | null | photoshop/gimp/colorization-image.py | colorization-image.py | py | 1,128 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.tile",
"line_num... |
567903868 | from copy import deepcopy
from typing import List, Dict, Tuple
from cv2 import data
from vqa_benchmarking_backend.datasets.dataset import DataSample, DatasetModelAdapter, DiagnosticDataset
import torch
from skimage.util import noise, random_noise
from collections import defaultdict
@torch.no_grad()
def inputs_for_ima... | null | backend/vqa_benchmarking_backend/metrics/robustness.py | robustness.py | py | 5,721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "vqa_benchmarking_backend.datasets.dataset.DataSample",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "skimage.util.random_noise",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 41,
"usage_type": "call"
... |
323254757 | #!/usr/bin/python
import networkx as nx
import random
import math
# INDEPENDENT CASCADE MODEL
# Let S_0 is the set of seeds, i.e., nodes active at step 0,
# and more in general S_t is the set of nodes activated at step t.
# Moreover, we denote with S_<t the set of nodes activated before step t, i.e., S_<t is the uni... | null | utils/lesson3.py | lesson3.py | py | 11,467 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.random",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "networkx.get_node_attributes",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "random.choic... |
81805111 | #!/home/kjeong23/softwares/bin/python3.4
# program to calculate hoppingless MSD of surfactants
# v04 renovation: imported mdtraj to process xtc file. Also, xtc file is truncated with 1 atomtype.
# definition of non-hopping: until it is detected in 'other' micelle.
# in migevent scheme, until the arrival time for the de... | null | py_development/data_process/micelles/nohopmsd_v04.py | nohopmsd_v04.py | py | 6,484 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.zeros",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 61... |
215633734 | #!usr/bin/env python
# encoding: utf-8
"""
@author: tommars00
@softwawre: PyCharm Community Edition
@file: run.py
@time: 8:37 PM
"""
from scrapy import cmdline
name = 'book'
cmd = 'scrapy crawl {0}'.format(name)
cmdline.execute(cmd.split()) | null | dangdang/run.py | run.py | py | 246 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.cmdline.execute",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scrapy.cmdline",
"line_number": 17,
"usage_type": "name"
}
] |
573482198 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import os, glob, json
import config as cfg
from module.cluster import VAE_Cluster
from module.vmt import VMT, TemplateD, QHead
from module.vae import GaussianKLLoss
from dataset import KKDayUser, seq_co... | null | cli/vae_info_gan_trainer.py | vae_info_gan_trainer.py | py | 31,779 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dataset.KKDayUser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "dataset.KKDayUser",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "dataset.KKDayUser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "module.vmt.VMT"... |
30709289 | import discord
from discord.ext import commands
import asyncio
import random
import re
from urllib.parse import quote as uriquote
import sqlite3
FACES = [" ͡° ͜ʖ ͡°", " ͡° ʖ̯ ͡°", " ͠° ͟ʖ ͡°", " ͡ᵔ ͜ʖ ͡ᵔ", " . •́ _ʖ •̀ .", " ఠ ͟ʖ ఠ", " ͡ಠ ʖ̯ ͡ಠ",
" ಠ ʖ̯ ಠ", " ಠ ͜ʖ ಠ", " ͡• ͜ʖ ͡• ", " ･ิ ͜ʖ ･ิ", " ͡ ͜ʖ ͡ ", "... | null | modules/chat.py | chat.py | py | 6,517 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "di... |
554537136 | # coding: utf-8
from __future__ import unicode_literals
from sqlalchemy.orm import joinedload, joinedload_all
from clld.db.meta import DBSession
from clld.db.util import get_distinct_values
from clld.db.models.common import Value, Contribution, ValueSet, Parameter, Language
from clld.web.util.helpers import external_... | null | lexibank/datatables.py | datatables.py | py | 8,987 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "clld.web.datatables.source.Sources",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "clld.web.datatables.source.Sources.base_query",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "clld.web.datatables.source.Sources",
"line_number": 29,
... |
650696173 | from django.db.models.signals import post_save, pre_delete
from django.dispatch import receiver
from rest_framework.authtoken.models import Token
from application import settings
from core.models import WatchableModel, User
from event.models import add_event_for_object
from .models import ModelWithAuthor, Like
from .t... | null | core/signals.py | signals.py | py | 2,005 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.dispatch.receiver",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.db.models.signals.post_save",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "models.Like",
"line_number": 21,
"usage_type": "name"
},
{
"api_n... |
499609773 | # -------------------------------------------------------
# Merge Sorted Array - https://leetcode.com/problems/merge-sorted-array/
# -------------------------------------------------------
# Author: Arshad Mehmood
# Github: https://github.com/arshad115
# Blog: https://arshadmehmood.com
# LinkedIn: https://www.linkedin.... | null | codes/2020-07-22-merge-sorted-array.py | 2020-07-22-merge-sorted-array.py | py | 1,908 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
}
] |
535961985 | """
Python Makefile System
"""
import os
import sys
import argparse
from functools import wraps, partial
from distutils import log
from pake.config import PAKEFILE_NAME
from pake.globals import app, context
from pake.exceptions import PakeError
class Task(object):
"""
A decorator make a function be a sub-command ... | null | lib/pake/pake/core.py | core.py | py | 1,963 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pake.globals.app.subparser.add_parser",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pake.globals.app.subparser",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "pake.globals.app",
"line_number": 41,
"usage_type": "name"
},
{... |
437741559 | """
sqlite3 context manager and try-except error handling
"""
import sqlite3
def create_table(db):
try:
with db:
cur = db.cursor()
cur.execute('create table phones (brand text, version int)')
except sqlite3.Error as e:
print(f'error creating table because {e}')
def ... | null | sqlite/db_context_manager_error_handling.py | db_context_manager_error_handling.py | py | 1,673 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.Error",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Error",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Error",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Erro... |
104167045 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import datasets, transforms
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import cv2
import shy
import os
import os.path as osp
from train import Net
shy.err_hook()
CUR_DIR = osp.dirnam... | null | grad-CAM/vis-simple.py | vis-simple.py | py | 2,369 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "shy.err_hook",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number"... |
506219078 | """Code snippets vol-44-snip-220
220-Difference between two dates
stevepython.wordpress.com
Download all snippets so far:
https://wp.me/Pa5TU8-1yg
Requirements:
None
source:
https://gist.github.com/amalgjose/c767a4846d6ecaa3b6d7
"""
from datetime import datetime
from dateutil import relativedelta
... | null | Python-code-snippets-201-300/220-Difference between two dates.py | 220-Difference between two dates.py | py | 856 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dateutil.relativedelta.relativedelta",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
97397963 | from django.http import HttpResponseRedirect, HttpResponseForbidden
from django.shortcuts import render, get_object_or_404
# Create your views here.
from django.urls import reverse
from django.utils import timezone
from characters.forms import CreateCharacterForm
from characters.models import Character, BasicStats
f... | null | hgapp/characters/views.py | views.py | py | 6,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "characters.forms.CreateCharacterForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "characters.models.BasicStats",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "characters.models.Character",
"line_number": 22,
"usage_type": "call"
... |
222253029 | import cv2
import numpy as np
num = input("Type 0 or 1 to show image \n")
print(num)
path = "images/sample{}.jpg"
img = cv2.imread(path.format(num))
kernelSize = 5
kernel = np.ones((5,5),np.uint8)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
blur_gray = cv2.GaussianBlur(gray,... | null | source.py | source.py | py | 1,039 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number":... |
95312101 | from collections import namedtuple
from statistics import mean
from functools import wraps
from util import count_syllables
from tagging import AnnotatedDocument, AnnotatedSentence, AnnotatedParagraph
Metric = namedtuple(
'Metric',
('code', 'name', 'description'),
)
class MetricRegistry:
def __init__(sel... | null | writerlint/metrics.py | metrics.py | py | 2,943 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tagging.AnnotatedDocument",
"line_number": 66,
"usage_type": "argument"
},
{
"api_name": "t... |
172920357 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
### GT ID: cchen376
### Assignment #1 CS7641 Fall 2019
import pandas as pd
import numpy as np
import time
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA,FastICA
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
... | null | ICA_cchen376.py | ICA_cchen376.py | py | 7,747 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sklearn.preproces... |
550014964 | import cv2
import numpy as np
class SlidingWindowLocalization:
"""
Uses sliding window localization to localize the human's centroid using a Haar Cascade model
"""
def __init__(self, images):
images = np.array(images)
images = images.reshape(images.shape[0], 240, 320)
height = ... | null | versions/swl2/slidingwindow.py | slidingwindow.py | py | 2,941 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "versions.swl1.main... |
202600481 | import sys
import csv
from csv import reader
import numpy as np
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import roc_auc_score, precision_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.svm import SVC
from sklearn.linear_m... | null | src/model/core.py | core.py | py | 6,765 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sklearn.mo... |
472183572 | # run with
# python test_dask_proc.py
import yt
import os
from dask.distributed import Client
from profiler import ProfileManager, test_info
from timeit import default_timer as timer
if __name__ == "__main__":
c = Client(n_workers = 4, threads_per_worker=1)
ds = yt.load_sample("snapshot_033")
ttype = ... | null | code/test_dask_proc.py | test_dask_proc.py | py | 1,121 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dask.distributed.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "yt.load_sample",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
518548683 | #!/usr/bin/python
#_*_ encoding:utf-8_*_
"""
日志管理模块
"""
import logging
"""创建日志"""
logger = logging.getLogger(__name__)
logger.setLevel(level = logging.INFO)
handler = logging.FileHandler("Scraping_log2.txt")
handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(messag... | null | Scraping/practice/Douyu/log.py | log.py | py | 404 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",... |
628111448 | import numpy as np
import cv2
import time
confThreshold = 0.5
nmsThreshold = 0.2
inpWidth = 416
inpHeight = 416
def get_coods(img, outs):
frameHeight, frameWidth = img.shape[0], img.shape[1]
classIds, confidences, boxes = [], [], []
for out in outs:
for detection in out:
... | null | programs/background_change.py | background_change.py | py | 2,506 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.argmax",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.NMSBoxes",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_numb... |
215217540 | #!/usr/bin/env python3
'''
This is a set of functions used by pymm scripts
This file is organized into 4 main sections:
* CONFIG CHECK STUFF
* PYMM ADMIN / LOGGING STUFF
* FILE CHECK STUFF
* SYSTEM / ENVIRONMENT STUFF
'''
import configparser
from datetime import date
import glob
import hashlib
import json
import ... | null | pymmFunctions.py | pymmFunctions.py | py | 27,072 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
360756884 | # -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Copyright (C) 2007-2012 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Django modules
from django.db import models
# Third-party modules
from south.db i... | null | sa/migrations/0004_no_task.py | 0004_no_task.py | py | 1,302 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "south.db.db.delete_table",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "south.db.db",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "south.db.db.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "south.d... |
141517354 | # -*- coding: utf-8 -*-
from time import sleep
import sys
import random
import cloud4rpi
import psutil
import rpi
import os
import re
from statistics import mean
pattern = re.compile("^cpu[0-9]?\-thermal$")
#import RPi.GPIO as GPIO # pylint: disable=F0401
# Put your device token here. To get the token,
# sign up at... | null | cloud4rpi_monitor.py | cloud4rpi_monitor.py | py | 3,774 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "psutil.cpu_percent",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_freq",
"... |
444973323 | #libraries
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
#import pandas as pd
def plot_stacked_bar(bars1, bars2, names, file_name):
# y-axis in bold
rc('font', weight='bold')
# Values of each group
# bars1 = [12, 28, 1, 8, 22]
# bars2 = [28, 7... | null | Zoom/graph.py | graph.py | py | 1,449 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.rc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.add",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
130524939 | '''
Copyright (C) 2018 Busacca Davide
This file is part of PV.
PV is free software: you can redistribute it and/or modify it under
the terms of the GNU Affero General Public License as published by the Free
Software Foundation (FSF), either version 3 of the License, or (at your
option) any later version.
... | null | spectrogram/ISTFT.py | ISTFT.py | py | 4,546 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
372976317 | # 主要作用是载入数据集，处理npz文件，因为keras自带的访问不能获取，只能本地完成了
# (X_train, y_train), (X_test, y_test) = imdb.load_data(num_words=max_features)input_file = "D:\用户目录\Desktop\郭磊\keras\imdb.npz"
from __future__ import absolute_import
from six.moves import zip
import numpy as np
import json
import warnings
# 下面的函数是keras的sequence的自带函数，但是我导入不... | null | imdb.py | imdb.py | py | 4,179 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "six.moves.zip",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_... |
89472880 | from pytorch_rrt import UniformActionSpace, ActionDescription, \
UniformStateSpace, State, StateDescription, \
KinodynamicRRT, Visualizer
from typing import Iterable
import torch
# from window_recorder.recorder import WindowRecorder
import matplotlib.pyplot as plt
class TwoDActionSpace(UniformActionSpace):
... | null | tests/twod.py | twod.py | py | 2,845 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytorch_rrt.UniformActionSpace",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pytorch_rrt.ActionDescription",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytorch_rrt.ActionDescription",
"line_number": 17,
"usage_type": "call"
},... |
282892793 | # vi: set shiftwidth=4 tabstop=4 expandtab:
import datetime
import re
import itertools
def get_program_from_file(file_path="day14_input.txt"):
with open(file_path) as f:
return [l.strip() for l in f]
# mask = X100110110X011000101000101XX11001X11
mask_re = re.compile(r"^mask = (?P<mask>[01X]+)$")
# mem[5... | null | day14.py | day14.py | py | 3,513 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
175701350 | #
# linter.py
# Linter for SublimeLinter3, a code checking framework for Sublime Text 3
#
# Written by Fred Callaway
# Copyright (c) 2015 Fred Callaway
# Copyright (c) 2017 FichteFoll <fichtefoll2@googlemail.com>
#
# License: MIT
#
"""This module exports the Mypy plugin class."""
import logging
import os
import re
im... | null | linter.py | linter.py | py | 4,822 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "getpass.getuser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "SublimeLinter.lint.PythonLinter",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "Sub... |
146572208 | import asyncio
from contextlib import suppress
from copy import copy
from io import BytesIO
import discord
from redbot.core import commands, checks, Config
from redbot.core.utils import common_filters, mod
from redbot.core.utils.chat_formatting import pagify, humanize_list
from redbot.core.i18n import Trans... | null | cogs/CogManager/cogs/rift/rift.py | rift.py | py | 15,090 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "redbot.core.utils.mod",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "redbot.core.checks.check_permissions",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "redbot.core.checks",
"line_number": 13,
"usage_type": "name"
},
{... |
359906849 | import pyglet
from game import star, bulk_load, player, meteorite
game_window = pyglet.window.Window(800, 600)
#pyglet的批量绘制
main_batch = pyglet.graphics.Batch()
#设置文字标签，需要将batch对象传递给物体的构造函数(使用关键字 batch)
level_label = pyglet.text.Label(text="It's a star Game ^。^!", x=400, y=575, anchor_x='center', batch=main_batch)
... | null | python_game2/version/stars.py | stars.py | py | 5,108 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyglet.window.Window",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyglet.window",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyglet.graphics.Batch",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyglet.gra... |
579106880 | from django.shortcuts import render
from django.http import HttpResponse
from django.http import response , request
from listings.models import Listings
from listings.models import Realtor
from listings.choices import price_choices, bedroom_choices, state_choices
# Create your views here.
def index(request):
listi... | null | pages/views.py | views.py | py | 895 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "listings.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "listings.models.Listings.objects.order_by",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "listings.models.Listings.objects",
"line_number": 10,
"usage_type": "attribute"... |
91458234 | import gym
from gym import error, spaces, utils
import numpy as np
import os
from .agent import Agent
import matplotlib.pyplot as plt
ACTIONS = {'MOVE_LEFT': [0, -1], # Move left
'MOVE_RIGHT': [0, 1], # Move right
'MOVE_UP': [-1, 0], # Move up
'MOVE_DOWN': [1, 0], # Move down
... | null | pettingzoo/mappo_ssd/utils/grid_world.py | grid_world.py | py | 48,912 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.zeros",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "agent.action_s... |
508639267 | from osgeo import gdal, gdalnumeric, ogr, gdal_array
import sys
sys.path.append(r'C:\Program Files\GDAL')
# import ogr
# import gdal_array
from skimage import measure
import numpy as np
import json
import os
import datetime
from shapely.geometry import Polygon
# get all the fillpath in the directory include sub-di... | null | czhUtils.py | czhUtils.py | py | 10,600 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
453111214 | #!/usr/bin/env python2.7
# -*- coding: utf-8 -*-
import os, re
import markdown as md
from constants import places
from utilities import indent, renderDate
class Post(object):
'''
Object that holds information about a post. Can render itself into HTML.
'''
def __init__(self, filename, title, tags, kin... | null | engine/post.py | post.py | py | 4,478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "markdown.markdown",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"lin... |
338598408 | import os
import re
import time
import numpy as np
from subprocess import Popen, PIPE
from ipyparallel import Client
from ram.aws.stream_reader import NonBlockingStreamReader as NBSR
aws_data = os.path.join(os.getenv('DATA'), 'ram', 'aws')
class ClusterController(object):
configured_regions = ['us-west-1a', 'us... | null | ram/aws/cluster.py | cluster.py | py | 12,464 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15... |
128409060 | from functools import lru_cache
import boto3
import itertools
from collections import defaultdict
from operator import itemgetter
from typing import List, MutableMapping
from django.conf import settings
from rest_framework.fields import (
BooleanField, CharField, ChoiceField, DateField, DecimalField, EmailField, ... | null | core/utils.py | utils.py | py | 7,467 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.MutableMapping",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "operator.itemgetter",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.def... |
429678554 | import random
import json
"""
1. Создать программно файл в текстовом формате, записать в него построчно данные, вводимые пользователем.
Об окончании ввода данных свидетельствует пустая строка.
"""
print("*" * 50 + " 1 " + "*" * 50)
with open('5_1.txt', 'w') as file:
name = input('Введите свое имя: ')
file.wri... | null | lesson_5.py | lesson_5.py | py | 7,956 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.random",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 167,
"usage_type": "call"
}
] |
502123428 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import paho.mqtt.client as mqtt
import subprocess
import time
import re
import configparser as ConfigParser
import threading
import os
# Default configuration
config = {
'mqtt': {
'broker': 'localhost',
'port': 1883,
'prefix': 'media',
... | null | bridge.py | bridge.py | py | 4,700 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
288915456 | import sys
import os
import time
import datetime
import redis
import json
# Smykowski takes the specifications from the customers and brings them down to
# the software engineers.
# XXX: maybe these should be to stdout instead of stderr, I dunno
def debug(msg, force_debug=False):
if DEBUG or force_debug:
msg_ou... | null | smykowski/smykowski.py | smykowski.py | py | 6,287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stderr.write",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.flush",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"l... |
19777276 | import pytest
import numpy as np
from os import path
from astropy.io import fits
from astropy import wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
from .utils_for_test import create_test_ffis
from ..make_cube import CubeFactory
from ..cube_cut import CutoutFactory
from ..exceptions import Inv... | null | astrocut/tests/test_cube_cut.py | test_cube_cut.py | py | 12,764 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "astropy.coordinates.SkyCoord",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "ast... |
511985183 | from threading import Thread
import numpy as np
import pandas as pd
from flask import Flask, jsonify, request
from clf import run, load_model
from flask_swagger_ui import get_swaggerui_blueprint
app = Flask(__name__)
### swagger specific ###
SWAGGER_URL = '/swagger'
API_URL = '/static/swagger.json'
SWAGGERUI_BLUEPRIN... | null | routes.py | routes.py | py | 1,950 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_swagger_ui.get_swaggerui_blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "... |
348820320 | import json
from io import BytesIO
from unittest import mock
import boto3
import numpy as np
import pytest
from PIL import Image
from ..conftest import AWS_ENDPOINT_URI
from ..fixtures.payloads import umd_glad_alerts_payload, umd_tree_cover_loss_payload
@pytest.mark.e2e
@pytest.mark.parametrize("x, y, multiplier", ... | null | tests/routes/test_raster_tiles.py | test_raster_tiles.py | py | 5,700 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "io.BytesIO",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "conftest.AWS_ENDPOINT_URI",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"... |
48830805 | #!/usr/bin/env python
import os
import pytest
from gluon.contrib.webclient import WebClient
import copy
"""
These tests run based on webclient and need web2py server running.
"""
new_innovation_data = dict(name='This is an innovation generated from automated tests',
overview='This is an in... | null | tests/controllers/test_default_controller_webclient.py | test_default_controller_webclient.py | py | 4,962 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.skip",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pytest.skip",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "gluon.contrib.webclient.WebClient",
"line_number": 59,
"usage_type": "argument"
},
{
"api_name": "os.envi... |
304140543 | # coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
from ctypes import c_double, c_int
from mpi4py import MPI
import numpy as np
import sys
from lammps import lammps
from p... | null | pylammpsmpi/mpi/lmpmpi.py | lmpmpi.py | py | 13,911 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line... |
227304193 | import os
from unittest import mock
import pytest
from django.conf import settings
from django.test import TestCase
from metaci.build.management.commands.run_build import Command
from metaci.build.models import Build
from metaci.conftest import (
BranchFactory,
OrgFactory,
PlanFactory,
PlanRepositoryF... | null | metaci/build/management/commands/tests/test_run_build.py | test_run_build.py | py | 2,683 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "metaci.conftest.RepositoryFactory",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "metaci.conftest.BranchFactory",
"line_number": 34,
"usage_type": "call"
},
{
... |
117448425 | # Name: Renacin Matadeen
# Date: 04/20/2020
# Title Open CV Research
#
# -------------------------------------------------------------------------------------------------------------------... | null | Misc/OpenCv_Research.py | OpenCv_Research.py | py | 1,952 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
... |
442793660 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.urls import reverse
from . models import *
from django.template.loader import render_to_string
from json import loads, dumps
from django.core.paginator import Paginator
from django.db.models import F... | null | store/comented_view.py | comented_view.py | py | 30,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.loader.render_to_string",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 26,
... |
308327852 | import scrapy
from scrapy.http import HtmlResponse
from leroyparser.items import LeroyparserItem
from scrapy.loader import ItemLoader
class LeroymerlinSpider(scrapy.Spider):
name = 'leroymerlin'
allowed_domains = ['leroymerlin.ru']
def __init__(self, text):
self.start_urls = [f'https://leroymerli... | null | Lesson 7/leroyparser/spiders/leroymerlin.py | leroymerlin.py | py | 1,386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "scrapy.http.HtmlResponse",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scrapy.http.HtmlResponse",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "s... |
96833340 | from django.db import models
import os
import graphene
from modelcluster.fields import ParentalKey
from modelcluster.models import ClusterableModel
from wagtail.utils.decorators import cached_classmethod
from wagtail.admin.edit_handlers import FieldPanel, InlinePanel, MultiFieldPanel, ObjectList, StreamFieldPanel, Ta... | null | joplin/base/models.py | models.py | py | 24,194 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wagtail.images.models.AbstractImage",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "wagtail.images.models.Image.admin_form_fields",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "wagtail.images.models.Image",
"line_number": 30,
"... |
163490273 | from src.platform.tomcat.authenticate import checkAuth
from src.platform.tomcat.interfaces import TINTERFACES
from requests import exceptions
from cprint import FingerPrint
from re import findall
from log import LOG
import utility
class FPrint(FingerPrint):
def __init__(self):
self.platform = "tomcat"
... | null | src/platform/tomcat/fingerprints/Tomcat4.py | Tomcat4.py | py | 1,402 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cprint.FingerPrint",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.platform.tomcat.interfaces.TINTERFACES.APP",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.platform.tomcat.interfaces.TINTERFACES",
"line_number": 14,
"us... |
333349377 | from pathlib import Path
import os
import os.path as osp
import logging
# set up directories
HOME = str(Path.home())
CACHE = osp.join(HOME, '.dbinspector')
LOGS = osp.join(CACHE, 'logs')
# parsed
UNIPROT = osp.join(CACHE, 'uniprot')
REFSEQ = osp.join(CACHE, 'refseq')
# downloads
DATA = osp.join(CACHE, 'data')
REFSEQ_F... | null | dbi_pkg/dbinspector/startup.py | startup.py | py | 777 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path.home",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
471852386 |
import os
import socket
import unittest
import subprocess
import dbma.checkings as checkings
from datetime import datetime
class CheckingsTeestCase(unittest.TestCase):
"""
"""
@classmethod
def setUpClass(cls):
super().setUpClass()
# create a socket server
cls.ip = '127.0.0.1'
... | null | tests/test_checkings.py | test_checkings.py | py | 3,126 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "socket... |
387581399 | # -*- coding: utf-8 -*-
import pytz
from pytest import raises, approx
import astral.geocoder
def location_count(name, locations):
return len(list(filter(lambda item: item.name == name, locations)))
class TestDatabase:
"""Test database access functions"""
def test_all_locations(self, test_database):
... | null | src/test/test_geocoder.py | test_geocoder.py | py | 4,330 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "astral.geocoder.geocoder.all_locations",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "astral.geocoder.geocoder",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "astral.geocoder",
"line_number": 16,
"usage_type": "name"
},
{
... |
194736369 | import re
from pylatex import (Alignat, Center, Document, LargeText, LineBreak, Math,
MediumText, PageStyle, Section, Subsection)
from pylatex.utils import NoEscape, bold, italic
class EquationsGenerator:
def __init__(self, equations):
geometry_options = {
"head": "2.5cm"... | null | SIRModel/EquationsGenerator.py | EquationsGenerator.py | py | 1,510 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pylatex.Document",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pylatex.Center",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pylatex.Section",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pylatex.LargeText",
... |
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