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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
421992747 | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 02 13:49:45 2016
Theta-Gamma Coupling model
@author: Vlastimil Koudelka
"""
import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as sig
import scipy.stats as stat
plt.close('all')
fs = 250 #samplerate [Hz]
T = 1.0/fs #sampling period [s]
dur = 2 ... | null | V2_Phase_amplitude_coupling.py | V2_Phase_amplitude_coupling.py | py | 2,353 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.close",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.round",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linspace"... |
280076009 | from rest_framework import renderers
from datetime import datetime
from docx import Document
from docx.shared import Pt
from docx.shared import Inches
from io import BytesIO
from localflavor.us import us_states
from django.conf import settings
from rest_framework_csv.renderers import CSVRenderer
import re
from docx.sha... | null | cbrsservices/renderers.py | renderers.py | py | 24,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework_csv.renderers.CSVRenderer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework_csv.renderers.CSVRenderer",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "rest_framework_csv.renderers.CSVRenderer",
"line_number": 1... |
518441446 | # -*- coding: utf-8 -*-
"""
Language Identification Server
Uses langid.py to identify the language of a text. Able to distinguish Brazilian Portuguese from European Portuguese, Latin America Spanish from Peninsular Spanish and Simplified Chinese from Traditional Chinese
Usage
-----
Try out a demo at:
http://langi... | null | setup.py | setup.py | py | 1,352 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
564933297 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from typing import List
from msrest.serialization import Model
from .metadata import Metadata
from .qna_request_context import QnARequestContext
from .ranker_types import RankerTypes
class GenerateAnswerRequestBody(Model)... | null | libraries/botbuilder-ai/botbuilder/ai/qna/models/generate_answer_request_body.py | generate_answer_request_body.py | py | 2,178 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "metadata.Metadata",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "qna_request_... |
48418649 | from pymongo import MongoClient
import collections
import re
import sys
import numpy as np
import pandas as pd
import datetime
from categories import *
from numpy import array
import keras
from keras.models import Sequential
from keras.layers import Dense,Conv1D,GlobalMaxPooling1D
#from pos_tagging import *
import mult... | null | personalisation/keras/model_generator_tags.py | model_generator_tags.py | py | 16,569 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 5... |
135634638 | from .os_utils import os, maybe_add_slash
import warnings
from tqdm import tqdm
from utilities import s3_util as s3u
with warnings.catch_warnings():
warnings.simplefilter("ignore")
import pandas as pd
S3_REFERENCE = {"east": "czbiohub-reference-east",
"west": "czbiohub-reference"}
SAMPLE_R... | null | aguamenti/s3_utils.py | s3_utils.py | py | 2,402 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.catch_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os_utils.maybe_add_slash",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": ... |
91966719 | # coding: utf-8
import argparse
import time
import math
import os, sys
import torch
from data_utils import get_lm_corpus
from models.mem_transformer import MemTransformerLM
from utils.exp_utils import get_logger
from inference.translator import Translator
import copy
parser = argparse.ArgumentParser(description='Gen... | null | pytorch/generate_beam_search.py | generate_beam_search.py | py | 6,751 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "utils.exp_utils.get_logger",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "os.pa... |
304844181 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Classes to abstract 2D pose and orientation using matrices in SE(2) and SO(2)
To use::
from spatialmath.pose2d import *
T = SE2(1, 2, 0.3)
import spatialmath as sm
T = sm.SE2.Rx(1, 2, 0.3)
.. inheritance-diagram:: spatialmath.pose3d
:top-clas... | null | spatialmath/pose2d.py | pose2d.py | py | 17,320 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "spatialmath.baseposematrix.BasePoseMatrix",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "spatialmath.base.t2r",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "spatialmath.base",
"line_number": 78,
"usage_type": "name"
},
{
"a... |
170652995 | """Script for running inference on a collection of new images.
For information on required arguments, please see the README or run:
python run_inference.py -h
NOTE: Server must be launched before running this script.
"""
import argparse
import csv
import glob
import os
import requests
import time
def main(args):
... | null | bin/run_inference.py | run_inference.py | py | 2,058 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": ... |
111391783 | import pandas as pd
import random
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from finb.analyzer.ui.app import application
from dash.dependencies import Input, Output, MATCH, State
from dash.exceptions import PreventUpdate
from finb.analyze... | null | finb/analyzer/ui/tabs/COGS_compare/COGS_compare.py | COGS_compare.py | py | 4,015 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dash_bootstrap_components.Container",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.Row",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dash_html_components.H5",
"line_number": 22,
"usage_type": "call"
},
... |
188826685 | import subprocess
from datetime import datetime
import pandas as pd
from feast import FeatureStore
from feast.data_source import PushMode
def run_demo():
store = FeatureStore(repo_path=".")
print("\n--- Run feast apply to setup feature store on Postgres ---")
subprocess.run(["feast", "apply"])
prin... | null | sdk/python/feast/templates/postgres/feature_repo/test_workflow.py | test_workflow.py | py | 4,413 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "feast.FeatureStore",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
455467279 | import cv2
import sys
import os
if len(sys.argv) != 4:
print("Usage: python {} hoge.wmv output_dir out_file_prefix".format(sys.argv[0]))
exit(0)
cap = cv2.VideoCapture(sys.argv[1])
if cap.isOpened() == False:
print("failed to open {}".format(sys.argv[1]))
exit(0)
print("opened {}".format(sys.argv[1]))
dir = sys... | null | read_image_from_wmv.py | read_image_from_wmv.py | py | 1,185 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number... |
362447460 | import numpy as np
from scipy.special import logsumexp
def phred_scale(prob, max_val=100):
assert 0 <= prob <= 1, f'invalid probability: {prob}'
return int(round(np.clip(-10 * np.log10(prob), 0, max_val)))
def log2_to_phred_scale(log2_prob, max_val=100):
return int(round(np.clip(-10 * log2_prob / np.log... | null | fbio/stats/stats_utils.py | stats_utils.py | py | 1,341 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.clip",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
"line_number": 11,
... |
63298650 | from django import template
from django.db.models import Count
from django.db.models.functions import *
from myBlog import models
register = template.Library()
@register.inclusion_tag("class_tag.html")
def get_classification_style(username):
article_list = models.Article.objects.filter(user__username=username)
use... | null | Blog/myBlog/templatetags/my_tags.py | my_tags.py | py | 923 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "myBlog.models.Article.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_na... |
643669997 | import MySQLdb
db=MySQLdb.connect(
host="127.0.0.1",
user="root",
database="test"
)
cursor=db.cursor()
print(cursor)
#cursor.execute("CREATE TABLE user (Id INT, Name VARCHAR(255), address VARCHAR(255), Phone INT)")
# query="INSERT INTO user (Id, Name, address, Phone) values(%s, %s,%s,%s)"
# values=[(1,"abh... | null | python/myqueses.py | myqueses.py | py | 1,094 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "MySQLdb.connect",
"line_number": 3,
"usage_type": "call"
}
] |
338473206 | import datetime
import os
import random
import string
import warnings
import pandas as pd
from dagster import (
Array,
AssetKey,
EventMetadata,
EventMetadataEntry,
ExperimentalWarning,
Field,
ModeDefinition,
Output,
OutputDefinition,
Partition,
PartitionSetDefinition,
pi... | null | python_modules/dagster-test/dagster_test/toys/asset_lineage.py | asset_lineage.py | py | 5,391 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "dagster.ExperimentalWarning",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "dat... |
538513611 | from django.http import JsonResponse, HttpResponseServerError
from rest_framework.views import APIView
from d2Result.surveyViews.utils.check_and_aggregate import CheckAndAggregate
from d2Result.models import d2ResultModel
from pymongo_aggregate.aggregate_rule import AggregateRule
import logging
logger = logging.getLog... | null | d2_client/d2Result/surveyViews/inclinationView.py | inclinationView.py | py | 2,643 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "d2Result.surveyViews.utils.check_and_aggregate.CheckAndAggregate",
"line_number": 13,
"usag... |
586096053 | #%% Imports
import os
import nltk
import tqdm
import codecs
import pickle
import pandas as pd
#from sklearn.feature_extraction.text import CountVectorizer
#%% Path definition
base_folder = os.getcwd()
input_folder = os.path.join(base_folder, '01_data', '01_preprocessed')
output_path = os.path.join(base_folder, '01_da... | null | 00_old_versions/02_generate_corpus_v0.py | 02_generate_corpus_v0.py | py | 2,659 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
547316423 | import logging
import pathlib
from typing import Union, List
from .exceptions import *
def check_path(path: pathlib.Path, logger: logging.Logger) -> pathlib.Path:
if not isinstance(path, pathlib.Path):
try:
path = pathlib.Path(path)
except Exception as e:
msg = f"Unhandled ... | null | net_parser/utils/common.py | common.py | py | 2,682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.Logger",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
... |
220524507 | from selenium import webdriver
import time
driver = webdriver.Chrome(r'C:\Users\hello\Desktop\chromedriver.exe')
driver.get('https://www.jsonline.com/search/opioid/')
SCROLL_PAUSE_TIME = 3.0
# Get scroll height
last_height = driver.execute_script("return document.body.scrollHeight")
i=1
while i<10:
# Scroll do... | null | MSJ/MO/zeyu_code_MSJO2.py | zeyu_code_MSJO2.py | py | 1,304 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 26,
"usage_type": "call"
}
] |
18873480 | from sys import stdout as console
from random import randint, sample
import argparse
def sub_file_write(location,data):
with open('data/substitutions10mill/' + location,'a') as f:
f.write(data + '\n')
def to_byte_fromint(string):
split_byte = string.split('0b')
padded_byte = ''.join( [''.join(['0' for i in ran... | null | generate-data/py-scripts/old_20170901/substitution_p-r-c_gen.py | substitution_p-r-c_gen.py | py | 2,448 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.sample",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "sys.stdout.flush",
"lin... |
444502939 | import logging
import tornado.escape
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.websocket
import uuid
from tornado.web import authenticated,RequestHandler
import redis
import _ctypes
from .main import Base
class ChatHandler(Base):
"""
聊天室
"""
@authenticated
def... | null | handlers/chat.py | chat.py | py | 2,308 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "main.Base",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tornado.web.authenticated",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tornado.escape.websocket",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "tor... |
335280565 | # *****************************************************************************
# © Copyright IBM Corp. 2021. All Rights Reserved.
#
# This program and the accompanying materials
# are made available under the terms of the Apache V2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/l... | null | scripts/test_AMPQPreload.py | test_AMPQPreload.py | py | 5,887 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "azure.amqp_receiver.add_iothub_args",
"line_number": 41,
"usage_type": "call"
},
{
"api... |
455650215 | import json
import bs4
from .parser import Parser
class ProblemListParser(Parser):
"""
[
{'username': 'user1', 'nickname': 'nick', 'school': 'myschool', 'solved': 0},
{'username': 'user2', 'nickname': 'nick2', 'school': None, 'solved': 2},
...
]
"""
def parse(self, respon... | null | vjudge_interface/parsers/problem_list_parser.py | problem_list_parser.py | py | 1,384 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "parser.Parser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
}
] |
287262233 | #!/usr/bin/env python3
# jimk: remote machines need the above line when building console scripts which will
# be installed on machines which also require python 2 in their path
from setuptools import setup, find_packages
console_scripts = ['manifestforwork = v_m_t.manifestforwork:manifestShell',
'ma... | null | setup.py | setup.py | py | 1,048 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 8,
"usage_type": "call"
}
] |
350434956 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# **
#
# ================= #
# QI_WORKER #
# ================= #
# Abstract worker class
#
# @author ES
# **
import logging
import time
from data_manager.controller.db_stream_controller import DBStreamController
from es_common.enums.robot_enums import RobotName
from robot... | null | robot_manager/worker/qi/qi_worker.py | qi_worker.py | py | 4,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "data_manager.controller.db_stream_controller.DBStreamController",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "robot_manager.handler.qi.connection_handler.ConnectionHandler.c... |
503078261 | # -*- coding: utf-8 -*-
'''
Created on 2015/01/25
@OriginAuthor: samuraitaiga
@ModifiedBy: LuizeraSD
'''
import logging
import os
import hashlib
import shutil
import requests
import re
import json
import base64
from mt4 import get_mt4
from mt4 import DEFAULT_MT4_NAME
from __builtin__ import str
class BackTest(obje... | null | metatrader/backtest.py | backtest.py | py | 18,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.split",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "mt4.get_mt4",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "mt4.DEFAULT_MT4_NAME",
"li... |
383902233 | import requests
from time import sleep
class WebFamous():
def __init__(self, url):
self.url = 'https://channel9.msdn.com/Blogs/Microsoft-Student-Partner-Spain/Reto-2-Crea-tu-backend-con-WebAPI/player#autoplay'
self.r = requests.get(url)
def get_request(self):
return self.r
... | null | web_famous.py | web_famous.py | py | 1,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_number": 42,
"usage_type": "attribute"
}
] |
73185801 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 22 11:58:47 2020
@author: Pauline
"""
import numpy as np
import matplotlib.pyplot as plt
from numpy.fft import rfft,irfft,fft,ifft
def gaussian(x, mu, sig):
return np.exp(-(x - mu)**2 / (2 * sig**2))
def roll(array,n):
N=len(array)
k=np.arange(N)
retur... | null | Assignment4/hw4.py | hw4.py | py | 1,817 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.real",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.fft.ifft",
"line_number":... |
598773710 | #!/usr/bin/env python3
import extra
import pandas as pd
import sys
import numpy as np
import matplotlib.pyplot as plt
# Get all pw.x output data from given path
# Find en tot, cutoff, cpu time
# Save pandas dataframe in plot_data.txt
def prepare(argv):
input_path = argv[0]
flist = special_scan(input_path)
... | null | es2/all_plotter.py | all_plotter.py | py | 5,023 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "extra.scanner",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 138,
"usage_type": "call"
},
{
"api_name": "matplotli... |
107535582 | import json
import pandas as pd
import codecs
import sys
import os
import argparse
import logging
parser = argparse.ArgumentParser(description='Process instagam message.json files to csv')
parser.add_argument('--f', help='filepath to the JSON messages.json downladed from instagram',required=True)
parser.add_argument... | null | processJSON.py | processJSON.py | py | 2,140 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "codecs.op... |
473183107 | from calc_add_unusual_amino import Add
from PyQt5 import QtCore, QtGui, QtWidgets
from Error_dialog_window import Ui_Frame
from Information_dialog_window import Ui_Frame_i
class Ui_AddUnusualAminoAcid(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(... | null | Add_unusual_amino_acid_dialog_window.py | Add_unusual_amino_acid_dialog_window.py | py | 5,846 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QSize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
... |
200413897 | """
handles parsing text and running the command specified from it
then gets the string to pass back to slack
"""
import logging
import random
import re
import json
import request_helper as request
def get_return_text(raw_text, message_user):
"""
Returns the response we are giving to slack
:raw_text the r... | null | lisa_commands/commands.py | commands.py | py | 6,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "request_helper.anime_news_network_search",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "request_helper.youtube_search",
"line_number": 70,
"usage_type": "call"
},
{
"... |
407004850 | # -*- coding: UTF-8 -*-
"""
Project -> File: tempe -> run
Author: PMR
Date: 2021/9/1 9:22
Desc: 内测版本
"""
import gc
import pandas as pd
from pathlib import Path
from condition_category import ConditionCategory
from all_dataset_condition_category_mean import AllDatasetConditionCategoryMean
from prediction_m... | null | run.py | run.py | py | 9,181 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "condition_category.ConditionCategory",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "all_dataset_condition_category_mean.AllDatasetConditionCategoryMean",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "prediction_model.PredictionModel",
"... |
367990286 | from django.urls import path
from payment import views
app_name = "payment"
urlpatterns = [
path("cart/", views.payment_cart, name="cart"),
path("purchase/", views.payment_purchase, name="purchase"),
path("results/", views.payment_complete, name="results"),
]
| null | payment/urls.py | urls.py | py | 275 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "payment.views.payment_cart",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "payment.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.ur... |
337670590 | #!/usr/bin/env python
import argparse
import json
from pathlib import Path
from warnings import warn
import shutil
import tempfile
import random
from collections import defaultdict
import numpy as np
from itertools import permutations
import mrt.e2e.mr_utils
import mrt.viggo.mr_utils
from mrt.dialog_planner.bglm impo... | null | scripts/data_preprocessing/add_simple_orders.py | add_simple_orders.py | py | 9,253 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mrt.e2e.mr_utils.e2e",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "mrt.e2e.mr_utils",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "mrt.e2e.mr_utils.viggo",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name":... |
26494578 | #!/usr/bin/env python
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ---------------------------------------------... | null | eventhubs/examples/recv.py | recv.py | py | 1,910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "eventhubs.EventData.offset",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "eventhubs.EventData",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "eventhubs.EventData.sequence_number",
"line_number": 31,
"usage_type": "call"
},
{
... |
538922211 | """ _
|_|_
_ | |
_|_|_|_|_
|_|_|_|_|_|_
|_|_|_|_|_|
| | |_|
|_|_
|_|
Author: Souham Biswas
Website: https://www.linkedin.com/in/souham/
"""
import json
import os
import time
from datetime import datetime
from glob import glob
import tensorflow as tf
# if int(tf.__version__.split('.')[0]) >... | null | nets_v2/nn.py | nn.py | py | 29,294 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras.utils.Sequence",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "utils... |
215309127 | #!/usr/bin/env python
import os
import sys
import argparse
import codecs
import logging
import time
import math
import operator
import pickle
logger_freq = 2
logger_timestamp = time.time()
logger = logging.getLogger(__file__)
logging.getLogger().handlers = []
def log_major(message):
global logger_timestamp
logg... | null | Align/apply_tree.py | apply_tree.py | py | 7,192 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_n... |
557627742 | import datetime
import enum
import pandas as pd
import sqlalchemy
from panormus.data.bo.db_engine import (get_credentials, DB_CREDS_DIR, PostgresEngine)
class oDataDimension(enum.Enum):
items = "items"
attributes = "attributes"
cuts = "cuts"
sources = "sources"
def get_instance_using_credentials(f... | null | Caxton/JY_Completed/panormus/quant/data/bo/disco_daily.py | disco_daily.py | py | 12,935 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "panormus.data.bo.db_engine.DB_CREDS_DIR",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "panormus.data.bo.db_engine.get_credentials",
"line_number": 26,
"usage_type": "cal... |
638386449 | from seamless.qt.QtWidgets import QTextEdit, QWidget, QVBoxLayout
from seamless.qt.QtCore import Qt
from PyQt5.QtGui import QColor
import json
w = QWidget()
#w.setWindowFlags(Qt.WindowStaysOnTopHint)
w.setAttribute(Qt.WA_ShowWithoutActivating)
vbox = QVBoxLayout()
#vbox.addStretch(1)
w.resize(600,600)
w.setLayout(vbox... | null | OLD/lib/gui/cell-basic_editor_json.py | cell-basic_editor_json.py | py | 712 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seamless.qt.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seamless.qt.QtCore.Qt.WA_ShowWithoutActivating",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "seamless.qt.QtCore.Qt",
"line_number": 8,
"usage_type": "... |
60645917 | """
Functions that act on the Spatial Fourier Coefficients
`FFT`
(Fast) Fourier Transform
`iFFT`
Inverse (Fast) Fourier Transform
`spatFT`
Spatial Fourier Transform
`iSpatFT`
Fast Inverse Spatial Fourier Transform
`PWDecomp`
Plane Wave Decomposition
"""
import numpy as _np
from scipy.linalg import ls... | null | sound_field_analysis/process.py | process.py | py | 16,584 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.atleast_2d",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "numpy.fft.rfft",
"line_... |
106177895 | import discord
from discord.ext import commands
import os
from pymongo import MongoClient
TOKEN = os.environ["TOKEN"]
MONG0 = "mongodb+srv://eyzenhart:H0ZFBDMfmSQqS3qe@cluster0.ngjuw.mongodb.net/ezequiel?retryWrites=true&w=majority"
PREFIX = ("?", "!")
INTENTS = discord.Intents().all()
client = commands.Bot(command_p... | null | bot.py | bot.py | py | 2,625 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.Intents",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.co... |
195984773 | import sys
import time
import json
import random
import asyncio
import aiohttp
import requests
import traceback
from utils.dao import redis_cache, LTUserSettings, StormGiftBlackRoom, DelayAcceptGiftsMQ
from config import cloud_acceptors
from utils.mq import mq_raffle_to_acceptor
from utils.highlevel_api import DBCookie... | null | lt/lt_acceptor.py | lt_acceptor.py | py | 8,410 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.Queue",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientTimeout",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",... |
133133175 | import os
import csv
import pandas as pd
import numpy
from inference_schema.schema_decorators import input_schema
from inference_schema.parameter_types.numpy_parameter_type import NumpyParameterType
from azure.storage.blob import BlockBlobService
from sklearn.preprocessing import StandardScaler
from sklearn.externals ... | null | Pipeline/deployment/score.py | score.py | py | 2,809 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"lin... |
339989915 | import discord
import threading
import os
import re
import logging
import collections
import copy
import asyncio
import math
import time
import inspect
import datetime
import aiohttp
import random
import string
import imdbpie
from imdbpie import Imdb
from .utils import checks
from .utils.chat_formatting import pagify, ... | null | movie.py | movie.py | py | 15,493 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.Client",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cogs.utils.dataIO.dataIO.load_json",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "cogs.utils.dataIO.dataIO",
"line_number": 47,
"usage_type": "name"
},
{
"api_na... |
77662514 | import requests
from bs4 import BeautifulSoup
raw = requests.get("https://tv.naver.com/r")
html = BeautifulSoup(raw.text, "html.parser")
# 1위 - 100위 컨테이너 선택자: dl.cds_info
clips = html.select("dl.cds_info")
for cl in clips:
# 수정된 부분
title = cl.select_one("dt.title").text.strip()
chn = cl.select_one("dd.c... | null | crawling/3.2.csv_2.py | 3.2.csv_2.py | py | 570 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
121570039 | import torch
import numpy as np
import random
from collections import namedtuple, deque
from torch.nn.utils.clip_grad import clip_grad_norm_
import torch.nn.functional as F
import torch.optim as optim
from A2C_Model import Advantage_Actor_Critic
# from A2C_Model import A2C_nn
class Agent():
def __init__... | null | A2C/A2C_Agent.py | A2C_Agent.py | py | 6,687 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.seed",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "A2C_Model.Advantage_Actor_Critic",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.o... |
508187958 | # -*- coding: utf-8 -*-
from Acquisition import aq_inner
from zope.component import getMultiAdapter
from zope.interface import implements
from plone.app.layout.navigation.interfaces import INavtreeStrategy
from plone.app.layout.navigation.navtree import buildFolderTree
from plone.app.layout.navigation.root import get... | null | src/observatorio/tema/browser/viewlets/dropdown.py | dropdown.py | py | 4,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Products.CMFPlone.browser.navtree.NavtreeQueryBuilder",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "Products.CMFPlone.browser.navtree.NavtreeQueryBuilder.__init__",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Products.CMFPlone.browser.na... |
49618977 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pyquery import PyQuery as pq
import requests
import time
import sys
import os
# self.url = 'http://classair.dhu.edu.cn/mhs.php/Mhs/'
class SignIn(object):
def __init__(self, arg):
self.id = arg
if os.path.exists("qiubolog.txt"):
self.fi... | null | qiubo.py | qiubo.py | py | 6,550 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.Session",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyquery.PyQuery",
"l... |
232884010 | import requests
import re
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.87 Safari/537.36'
}
r = requests.get('http://www.dyyy120.com',headers=headers)
# print(r.cookies)
for key, value in r.cookies.items():
print(key + "=" + value) | null | requests-demo/requests-cookies.py | requests-cookies.py | py | 320 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
}
] |
279259438 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# load a new data set
dataset = pd.read_csv("./housing.csv")
# data pre-processing
dataset.dropna(inplace=True)
# initial... | null | data_processing.py | data_processing.py | py | 1,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 44,
"usage_type": "call"
},
{
"api_name... |
281147715 | """
From Daphne Stam
Plots grid of polarization from pixels.out files
"""
import matplotlib.pyplot as plt
import numpy as np
import math
# Change the file name if needed:
name = raw_input('Name of .out file (without ".out")')
filein= name+".out"
# Determine the number of pixels:
xyz= np.loadtxt(filein)
x = xyz[:,0]
y... | null | bin/aerx/plot_disk.py | plot_disk.py | py | 1,484 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
153605851 | import os
import sys
import json
from django.core.management.utils import get_random_secret_key
def patch_settings():
dir_name = os.path.dirname(os.path.abspath(__file__))
settings_path = os.path.join(dir_name, '..', 'settings.py')
if not os.path.exists(settings_path):
sys.stdout.write('Error not... | null | config/settings_config.py | settings_config.py | py | 1,305 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
633503902 | from django.shortcuts import render
from django.urls import reverse_lazy
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import (TemplateView,ListView,
DetailView,CreateView,
DeleteView,UpdateView,
... | null | CaseBrief/dashboard/views.py | views.py | py | 5,044 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 57,
"usag... |
549496732 | from django.shortcuts import render
import pandas as pd
import pickle
import os
# Create your views here.
def home(request):
return render(request, 'app1/home.html')
def check(request):
columns = ['cpis', 'isChild', 'name']
data = [['10',1,'John Citizen'],['12',0,'Jake Citizen'],['120',0,'Jane Citizen'],['... | null | app1/views.py | views.py | py | 1,222 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
188740393 | from datetime import datetime
from dateutil.parser import parse
class Match(object):
"""
CSGL Match model
"""
def __init__(self):
self.match_id = None
self.csgl_url = None
self.hltv_url = None
self.best_of = None
self.maps = []
self.date = None
self.team_1 = None
self.team_2 = None
self.team_1_o... | null | persistence/database/models.py | models.py | py | 2,075 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dateutil.parser.parse",
"line_number": 24,
"usage_type": "call"
}
] |
209050276 | from a00_PMTERS_CONST import mr_parameter
from scipy.integrate import quad
from scipy.optimize import newton, newton_krylov, fsolve, broyden1
import numpy.polynomial.chebyshev as cheb
import numpy as np
import time
from os.path import exists
from progressbar import progressbar
from scipy.sparse.linalg import spsolve
'... | null | Example_03/a09_PRTCLE_FOKAS.py | a09_PRTCLE_FOKAS.py | py | 20,806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "a00_PMTERS_CONST.mr_parameter",
... |
49863652 | import pygame as pg
import constants
class Hexagon(pg.sprite.Sprite):
def __init__(self, x, y, velx, vely):
pg.sprite.Sprite.__init__(self)
self.image = pg.image.load("../../Pygame Tests/hexagon.png")
self.image = pg.transform.scale(self.image, (150, 150))
self.rect = self.image.ge... | null | Simluator/images/Hexagon.py | Hexagon.py | py | 787 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
422956924 | from SocketServer import *
from socket import *
import SocketServer
import commands
import compileall
import ConfigParser
from toontown import AnimationGlobals
import Cookie
import socket
from subprocess import call
import BaseHTTPServer
import audiodev
import SimpleHTTPServer
import ctypes
from sys import argv
from ma... | null | toontown/LocalAvatar.py | LocalAvatar.py | py | 5,092 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "direct.actor.Actor.Actor",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "toontown.AnimationGlobals.torsoAnimDict",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "toontown.AnimationGlobals",
"line_number": 57,
"usage_type": "name"... |
360945771 |
import sys
import time
import os
sys.path.append("../Common")
from Mysql.libmysql import dbConMysql
from time import sleep
from selenium import webdriver
import json
import re
from time import sleep
import json
config_db = {'user': 'root', 'password': 'karisma*3%7*4', 'host': 'mthx.cafe24.com', 'database': 'mthx_ap... | null | MysqlToSQLlite/Crawlwer_UccSermonJsonToDB_BS3.py | Crawlwer_UccSermonJsonToDB_BS3.py | py | 8,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "Mysql.libmysql.dbConMysql",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "Mysql.libmysql.... |
442167976 | from flask import Response, request, redirect
from render import render_grid
from service import action
car = (0,0,'N')
class Controller:
def __init__(self, flask_app):
@flask_app.route('/', methods = ['GET'])
def index():
return Response(render_grid(car), mimetype = 'text/pl... | null | controller.py | controller.py | py | 702 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Response",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "render.render_grid",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
500690061 | from pandas._libs.tslibs import Period
import websocket, json, pprint, talib,csv
import pandas as pd
import numpy as np
import config
from os import close
from binance.client import Client
from binance.enums import *
SOCKET = "wss://stream.binance.com:9443/ws/xrpusdt@kline_1m"
RSI_PERIOD = 14
RSI_OVERBOUGHT = 70
RSI_... | null | bot_x.py | bot_x.py | py | 6,545 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "binance.client.Client",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.API_KEY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "config.API_SECRET",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "csv.... |
599742413 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render, redirect
from django.http import HttpResponse
from models import *
from book01 import models
# Create your views here.
def publisher(request):
publ= publisherInfo.objects.all().order_by('id')
publ2 = publishe... | null | book01/views.py | views.py | py | 4,280 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "book01.models.publisherInfo.objects.create",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "book01.models.publisherInfo",
"line_number": 23,
"usage_type": "attrib... |
336036251 | """MNIST Autoencoder. """
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
import json, os, re, math
import numpy as np
import utils as ut
import input as inp
import tools.checkpoint_utils as ch_utils
import activation_functions as act
import visualization as vis
import prettyte... | null | model/FF_model.py | FF_model.py | py | 8,761 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.app.flags.DEFINE_integer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.app",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.app",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_n... |
297086505 | """
Filename: ledger.py
Package: cards.objects
Author: Sean Carrick
Created On: September 12, 2019
Modified: September 12, 2019
Version: 0.1.0
"""
import datetime
class Ledger(list):
"""
Provides a transaction ledger for an account. This gives the account a history that can be displayed at a lat... | null | cards/objects/ledger.py | ledger.py | py | 2,054 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "da... |
160445254 | # -*- coding: utf-8 -*-
from django.utils.translation import ugettext as _
RELATIONS = {
# 'relation_type_name': (from_1_to_2, from_2_to_1),
'ownership': (
_('owns'), _('is owned by')
),
# possui, pertence à
'participation': (
_('participates in'), _('has as participant')
),
... | null | mootiro_komoo/apps/main/relations.py | relations.py | py | 1,735 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.utils.translation.ugettext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 18,
"usage_type": "... |
135424572 | import tensorflow as tf
import tensorflow.contrib.rnn as rnn
import numpy as np
from collections import deque
import random
from DNC import DNC
BELTA = 0.0003
METHOD = [
dict(name='kl_pen', kl_target=0.01, lam=0.5), # KL penalty
# Clipped surrogate objective, find this is better
dict(name='clip', epsilon=... | null | src/DNC_PPO.py | DNC_PPO.py | py | 11,420 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflo... |
507692849 | import scrapy
f = open('haha.txt', "r")
#urls = [line for line in f]
'''
for k in urls:
print(k)file js-file js-details-container
'''
class DummySpider(scrapy.Spider):
flag = 0
global urls
name = "dummy"
start_urls = [line.strip() for line in f]
def parse(self, response):
if(respon... | null | Github-Spider/dummy_spider2.py | dummy_spider2.py | py | 1,047 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 12,
"usage_type": "attribute"
}
] |
561152580 | import nose
from nose.tools import *
from multiprocessing import Process
import requests
import time
import json
from resty.server import RESTController
from resty.decorators import request_type, request_path
SERVER = "http://localhost:8080"
HOSTNAME = "localhost"
PORT = 8080
# request callbacks
def time_as_string ... | null | resty/test/test_resty.py | test_resty.py | py | 1,943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.gmtime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "resty.decorators.request_type",
... |
133890162 | import os
import operator
import os.path
import time
import threading
import pygame
import random
pygame.init()
CRED = "\033[91m"
CEND = "\033[0m"
highscore = "highscore.txt"
player = True
p1_char = "\033[32m" + "X" + "\033[0m"
p2_char = "\033[34m" + "O" + "\033[0m"
playername1 = ""
playername2 = ""
round = 0
vertica... | null | Tictactoe_v2.0.py | Tictactoe_v2.0.py | py | 17,437 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 43... |
166341657 | import autograd.numpy as np
from neural_structural_optimization import topology2
import tensorflow as tf
import xarray
def trainer(model, max_iterations, optimizer=tf.keras.optimizers.Adam(1e-2)):
tvars = model.trainable_variables
losses = []
frames = []
for i in range(max_iterations + 1):
with... | null | train.py | train.py | py | 1,079 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras.optimizers.Adam",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.GradientTape",
"line_number": 11,
"usage_type": "call"
},
{
"api_... |
560674983 | import sys, os
import argparse
from mini_installer import file_read
from mini_installer import version
#!/usr/bin/env python -c
# -*- coding: utf-8 -*-
file_name="installation.yaml"
def main():
parser = argparse.ArgumentParser(description='Does an installation according to installation.yaml file in th... | null | installer/mini_installer/main.py | main.py | py | 1,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mini_installer.version.replace_version_from_cmd",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mini_installer.version",
"line_number": 19,
"usage_type": "name"
... |
447979898 | import base64
import logging
import sys, subprocess, getopt
from logging.handlers import RotatingFileHandler
from splunk.clilib.bundle_paths import make_splunkhome_path
logPath = make_splunkhome_path(['var', 'log', 'splunk'])
# keys we'll be using when talking with splunk.
USERNAME = "username"
# secure inputs con... | null | auth/scripts/commonAuth.py | commonAuth.py | py | 2,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "splunk.clilib.bundle_paths.make_splunkhome_path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 26,
"usage_type": "attribute"
},
{
... |
597200643 | import json,requests
#changeable
#change the urls on prod
PLATE_NO = "TEJ123"
web_status="https://"
website="acarjsystem.herokuapp.com"
def get_user_number():
#this method is for getting user's number
global cont_no
url = web_status + website + "/userdata/"
req_info = {
'plate_no':PLATE_NO
}
re... | null | for rpi/reqrec.py | reqrec.py | py | 4,196 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
148275967 | # Python Lib Modules
import re
from datetime import datetime, timedelta
import time
import logging
import json
# Community Modules
import requests
import requests_cache
# SMOREs Internal Imports
from smores.utility.errors import smores_error
import smores.utility.Authenticate as auth
import smores.utility.util as util
... | null | smores/api.py | api.py | py | 24,969 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "smores.utility.util.get_util_base",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "smores.utility.util",
"line_number": 20,
"usage_type": "name"
},
{
"api_name"... |
522161813 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
class City(models.Model):
_name = 'oe.city'
_description = u'城市'
pid = fields.Many2one('oe.province', string='省份')
name = fields.Char('名称', requried=True)
child_ids = fields.One2many('oe.district', 'pid', string='区')
@api.model_... | null | models/oe_city.py | oe_city.py | py | 532 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "odoo.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
252850881 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 3 14:44:59 2018
@author: mbray201
"""
import time
import json
import pandas as pd
import pyodbc
import sqlalchemy
from urllib import parse
cnxn = sqlalchemy.create_engine('mssql+pyodbc:///?odbc_connect={}'
.format(parse.quote_plus('DRIVER... | null | Pramata/api/archives/pramata_parse.py | pramata_parse.py | py | 14,351 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote_plus",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pandas.... |
24458400 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/test/fixtures.py
# Compiled at: 2014-08-31 04:18:26
import shutil, subprocess, tempfile, logging, time, hashlib, uuid
from OpenSSL i... | null | pycfiles/python_nats-0.1.0.beta.2-py2.7/fixtures.py | fixtures.py | py | 1,385 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
603002553 | # Copyright (C) 2015-2019 by Vd.
# This file is part of RocketGram, the modern Telegram bot framework.
# RocketGram is released under the MIT License (see LICENSE).
import enum
class UpdateType(enum.Enum):
message = enum.auto()
edited_message = enum.auto()
channel_post = enum.auto()
edited_channel_p... | null | rocketgram/update.py | update.py | py | 25,804 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "enum.auto",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 12,
... |
246682129 | # coding=utf-8
"""
Copyright (c) 2018-present, Ant Financial Service Group
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
Un... | null | anthunder/listener/base_listener.py | base_listener.py | py | 3,752 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "anthunder.mesh.mesh_client.MeshClient",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "anthunder.mesh.mesh_client.ApplicationInfo",
"line_number": 66,
"usage_type": "ca... |
347329431 | import sys
import logging
from mongoengine import connect
def connect_to_mongodb(dbname):
try:
connect(dbname, host='mongodb://172.17.128.101')
logging.info("Successfully connect mongodb")
except Exception as e:
logging.error("Failed to connect mongodb, %s", e)
sys.exit(1)
| null | OrgUsers/config/mongoExe.py | mongoExe.py | py | 320 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mongoengine.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_nu... |
234719476 | # How Flask gives access to the information the user sent to the server?
##### METHOD NOT ALLOWED #####
# This happens because browser is sending GET request but script only handles POST request at the /echo URL
# Solution: use curl request (curl --data 'text=world' http://127.0.0.1:5000/echo)
# Reference: http://c... | null | flask_examples/Example_Get_Post_Request/app_post.py | app_post.py | py | 1,775 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 41,
"usage_type": "name"
}
] |
337853501 | # import requests
#
# r = requests.get('https://www.yxgj.net/')
#
# print(r.status_code)
import requests
import random
import json
import urllib3
import sys
from bs4 import BeautifulSoup
urllib3.disable_warnings()
def get_question_number(temp_headers, message, category_id):
question_number_url = 'https://www.yxgj... | null | YaoXueGongJu/test/get_question_number.py | get_question_number.py | py | 2,048 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 41,
"usage_type": "call"
}
] |
344606862 | """
i interruption
w work
rev Revise curent entry by adding more tags
<< Revise last entry, using last entry's timestamp
ls View entries
rm 0
edit 0
#tag
"""
from datetime import datetime, timedelta
from nose.tools import eq_
from events import WorkEvent, WorkEventLog, EventsAnalyzer
class TestParsing(object... | null | testtrack.py | testtrack.py | py | 1,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "events.WorkEvent.parse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "events.WorkEvent",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "nose.tools.... |
249347376 | import re
from setuptools import setup, find_packages
description = 'Version-bump your software with a single command!'
long_description = re.sub(
"\`(.*)\<#.*\>\`\_",
r"\1",
str(open('README.md', 'rb').read()).replace(description, '')
)
setup(
name='bumpv',
version='0.3.0',
url='https://github.com... | null | pypi_install_script/bumpv-0.3.0.tar/setup.py | setup.py | py | 1,066 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 19,
"usage_type": "call"
}
] |
176605898 | import socket
import pyautogui
from pynput.mouse import Controller, Button
TEST = False
master = input('master ip: ')
mouse = Controller()
class MouseAction:
MOVE = 0
CLICK = 1
SCROLL = 2
def on_move(x, y):
x_ = x * self_resolution[0] / master_resolution[0]
y_ = y * self_resolution[1] / master_r... | null | tcp/slave.py | slave.py | py | 1,836 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pynput.mouse.Controller",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.size",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
... |
202404088 | #
# Copyright (c) 2015 Red Hat
# Licensed under The MIT License (MIT)
# http://opensource.org/licenses/MIT
#
"""
Checks for automatic documentation generators. It verifies no errors are
logged.
This test should not be part of main test suite as it will run pretty much all
viewsets without checking anything but the doc... | null | tests/check_api_doc.py | check_api_doc.py | py | 1,024 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 25,
"usage_type": "call"
}
] |
14717225 | """Stacked Attention model to combine visual and question embeddings.
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class StackedAttention(nn.Module):
"""Model to combine image and question embeddings.
Can be stacked together.
"""
def __init__(self, input_image_dim=1024, in... | null | models/stacked_attention.py | stacked_attention.py | py | 2,637 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
51724305 | #!/usr/bin/env python
# coding=utf-8
"""
Author: Fanchong Jian, Pengbo Song
Created Date: 2021/09/28
Last Modified: 2021/09/30
"""
from warnings import warn
from sklearn import linear_model
import os
import numpy as np
import matplotlib.pyplot as plt
class MLChemLab1:
"""Template class for Lab1 -*- Linea... | null | homework02/workdir/ridge_regression_template_new.py | ridge_regression_template_new.py | py | 6,541 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.warn",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.Ridge",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "warning... |
631464084 | #!/usr/bin/env python
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import base64
import os
import sys
import unittest
_BUILD_PATH = os.path.abspath(os.path.join(
os.path.dirname(__file__), os.path.... | null | scripts/slave/recipe_modules/auto_bisect_staging/resources/fetch_file_test.py | fetch_file_test.py | py | 1,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line... |
264103044 | # Converts a GDB object (referring to a Babeltrace object) and converts
# it to a bt-analysis model object.
#
# The MIT License (MIT)
#
# Copyright (c) 2016 Philippe Proulx <eepp.ca>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (t... | null | python/bt_gdb_obj.py | bt_gdb_obj.py | py | 32,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "gdb.lookup_type",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "gdb.lookup_type",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "gdb.lookup_type",
... |
262749450 | from Gans.Models import MLP_D as Disc
from Gans.Models import MLP_G as Gen
from Gans.cramerGan import train_gans
from data import mnist
import numpy as np
import argparse
import torch, os
class DataIterator:
def __init__(self, train_gen):
'''
data: a hdf5 opened pointer
Index: one array in... | null | mnist_CramerGans.py | mnist_CramerGans.py | py | 3,444 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "torch... |
566254066 | import pytest
from middlewared.test.integration.utils import call, ssh
from auto_config import dev_test
# comment pytestmark for development testing with --dev-test
pytestmark = pytest.mark.skipif(dev_test, reason='Skipping for test development testing')
@pytest.fixture(autouse=True, scope="module")
def stop_collect... | null | tests/api2/test_reporting__configure.py | test_reporting__configure.py | py | 3,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.mark.skipif",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "auto_config.dev_test",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "middlewared... |
76639361 | from behave import *
from dateutil.parser import parse
from decimal import Decimal
from base.models import Expense
import logging
logger = logging.getLogger('default')
@given(u'a new expense')
def impl(context):
row = context.table[0]
context.bmo = Expense(company_id=row['company'],
... | null | savor/testsuite/features/steps/expense_gl_entries.py | expense_gl_entries.py | py | 730 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "base.models.Expense",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 16,
"usage_type": "call"
}
] |
187850582 | # -*- coding: utf-8 -*-
import json
import logging
from django.views.decorators.http import require_GET, require_POST
from luckycommon.notification.model.notification import NOTIFY_TYPE
from luckycommon.tips import handler as tips_handler
from luckycommon.push import handler as push_handler
from luckycommon.cache im... | null | luckyapi/views/notification.py | notification.py | py | 7,705 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "luckycommon.utils.api.parse_p",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "luckycommon.notification.db.notification.get_user_notifications",
"line_number": 39,
"usa... |
426929252 | import torch
import torch.nn as nn
import torchvision.models as models
import sys
class _vgg16Deconv(nn.Module):
def __init__(self):
super(_vgg16Deconv, self).__init__()
self.features = nn.Sequential(
# deconv1
nn.AvgPool2d(kernel_size=1, stride=1),
nn.MaxUnpoo... | null | vgg16_deconv.py | vgg16_deconv.py | py | 3,607 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
508988541 | """
Plots the steady-state force coefficients of an inclined flat-plate with
aspect-ratio 2 at Reynolds number 100 for angles of attack between 0 and 90
degrees.
Compares with experimental results reported in Taira et al. (2007).
_References:_
* Taira, K., Dickson, W. B., Colonius,
T., Dickinson, M. H., & Rowley, C. ... | null | examples/decoupledibpm/flatplate3dRe100_GPU/scripts/plotForceCoefficients.py | plotForceCoefficients.py | py | 3,939 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"... |
102422703 | #!/usr/bin/env python
import rospy
import tf
import cv2
import yaml
import math
import sys
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBr... | null | ros/src/tl_detector/tl_detector.py | tl_detector.py | py | 9,086 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rospy.init_node",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv_bridge.CvBridge",
"line_nu... |
87999989 | # -*- coding: utf-8 -*-
"""Test utility functions."""
#-------------------------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------------------------
import json
import logging
import os.path as op
from ... | null | podoc/tests/test_utils.py | test_utils.py | py | 3,381 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytest.mark.skipif",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "utils.has_pandoc",
... |
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