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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20813720 | # -*- coding: utf-8 -*-
# Copyright 2010-2011 OpenStack Foundation
# Copyright (c) 2015 Intel Corporation.
#
# 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/lice... | null | collectd_ceilometer/tests/meters/test_base.py | test_base.py | py | 3,169 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collectd_ceilometer.tests.mocking.patch_class",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "collectd_ceilometer.common.meters.base.Meter",
"line_number": 51,
"usage_... |
506163720 | import numpy as np
import operator
import math
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import seaborn as sns; sns.set_theme()
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
plt.ion()
# -----------------------------------------------
# JACK'S CAR RENTAL PARAMETERS
NUM... | null | chap04-dynamic_programming/policy_iteration_jacks_car_rental.py | policy_iteration_jacks_car_rental.py | py | 12,331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "seaborn.set_theme",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.zeros"... |
381457845 | # coding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License... | null | tests/auto/test_auto_estimators.py | test_auto_estimators.py | py | 3,490 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gluoncv.auto.tasks.ImageClassification.Dataset.from_folders",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "gluoncv.auto.tasks.ImageClassification.Dataset",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "gluoncv.auto.tasks.ImageClassific... |
613127377 | from PIL import Image
maxiterations = 50
width, height = 300, 300
leftx, rightx, bottomy = 0.3, 0.31, 0.025
def divergenceTest(complex_number_tuple, MAX_ITERATIONS):
'''
check if a point [a, b] is in the mandelbrot set
return the number of iterations it took to go past an arbitrary number (say 4... | null | Mandelbrot.py | Mandelbrot.py | py | 2,832 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.new",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 77,
"usage_type": "name"
}
] |
342720858 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn import tree
from matplotlib import pyplot as plt
plt.rcParams.update({'figure.figsize': (12.0, 8.0)})
plt.rcParams.update({'font.size': 14})
path = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
headernames... | null | Random_Forest0.py | Random_Forest0.py | py | 1,251 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rcParams.update",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"... |
498156208 | import pyvisa
import time
def get_serial(ser, t=1):
time.sleep(t)
nbytes = ser.inWaiting()
if nbytes > 0:
print(">> " + '\n>> '.join(ser.read(nbytes).rstrip().split('\n')))
# port = sys.argv[1]
# print('Using port %s for Arduino' % port)
# ser = serial.Serial(port)
rm = pyvisa.ResourceManager()... | null | scope/power_read/trigger.py | trigger.py | py | 1,276 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyvisa.ResourceManager",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line... |
370718525 | from ctypes import c_bool
import json
import logging
import multiprocessing
import os
from queue import Empty
from mdf_connect_server.config import CONVERTER_CONF
from mdf_connect_server.processor import transform
NUM_TRANSFORMERS = 5
GROUPING_RULES = CONVERTER_CONF["grouping_rules"]
REPOSITORY_RULES = CONVERTER_CON... | null | mdf_connect_server/processor/converter.py | converter.py | py | 6,031 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mdf_connect_server.config.CONVERTER_CONF",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "mdf_connect_server.config.CONVERTER_CONF",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "c... |
521548882 | import sys
import pandas as pd
import matplotlib.pyplot as plt
from PyQt5 import uic,QtWidgets
from PyQt5.QtGui import QStandardItemModel, QStandardItem
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QTableWidgetItem, QDialog, QHeaderView, QProgressDialog
import os
from CMlib.show_sampletable import showtabl... | null | start.py | start.py | py | 15,749 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.uic.loadUiType",
"line_... |
509200733 | import signal
import jsonpickle
import sys
from pika.credentials import PlainCredentials
import pika
BROKER_ADDRESS = "localhost"
BROKER_PORT = 5672
BROKER_V_HOST = 'gg_host'
BROKER_USER = "gg_user"
BROKER_PWD = "gg_password"
MESSAGE_NAME = "LeaveRoomRequest"
ROOM_NAME = "some"
ROOM_USER = "some_user_2"
PUBLISH_TOP... | null | Source/scripts/game_server/leave_room.py | leave_room.py | py | 3,070 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pika.credentials.PlainCredentials",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pika.BlockingConnection",
"line_number": 47,
"usage_type": "call"
},
{
... |
15921979 | from multicorn import ForeignDataWrapper
from .utils import log_to_postgres
from itertools import cycle
from datetime import datetime
class TestForeignDataWrapper(ForeignDataWrapper):
def __init__(self, options, columns):
super(TestForeignDataWrapper, self).__init__(options, columns)
self.columns... | null | python/multicorn/testfdw.py | testfdw.py | py | 1,425 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multicorn.ForeignDataWrapper",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "utils.log_to_postgres",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.log_to_postgres",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
342406842 | import json
import random
import pandas
import numpy as np
from pathlib import Path
from collections import abc
from orderedset import OrderedSet
from typing import List, Dict, Tuple, Set, Iterable, Union
from .commonutils import logger
from markkk.pyutils.check_text_encoding import ensure_no_zh_punctuation
class QA... | null | package/easylabeltool/qa_class.py | qa_class.py | py | 10,198 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Union",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "markkk.pyutils.check_text_en... |
269036020 | # Hairdressing Application window class definition
# windows.py
# 4/05/18
import tkinter as tk
import json
from functools import partial
from datetime import datetime
class ApplicationWindow(tk.Frame):
def __init__(self, master):
super().__init__(master)
# Start creating all the widgets #
... | null | windows.py | windows.py | py | 11,182 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.Frame",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Menu",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.Menu",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tkinter.Menu",
"line... |
275654994 | # coding: utf-8
from keras.layers.core import Dense
from keras.layers.core import Masking
from keras.layers.core import Activation
from keras.layers.core import Dropout
from keras.layers import Input
from keras.layers import Lambda
from keras.layers import Multiply
from keras.layers import Maximum
from keras.layers im... | null | examples/class_dialog.py | class_dialog.py | py | 25,503 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.layers.recurrent.LSTM",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "keras.initializers.glorot_uniform",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "keras.initializers.orthogonal",
"line_number": 80,
"usage_type": "call"
}... |
436853370 | import os
import tensorflow as tf
import argparse
import numpy as np
import cv2
import tensorflow.contrib.layers as layers
from tensorflow.contrib.framework import arg_scope
import models.resnet.resnet_utils as resnet_utils
import train_helper
import eval_helper
import losses
import datasets.reader as reader
#import... | null | OLD/models/resnet/ladder.py | ladder.py | py | 16,092 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.app",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.contrib.layers.variance_scaling_initializer",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.layers",
"line_number": 30,
"usage_type": "... |
456384900 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import io
import time
import datetime
import calendar
import pytz
import dateutil
import base64
import xlsxwriter
from xlsxwriter.workbook import Workbook
from xlsxwriter.utility import xl_rowcol_to_cell
from pytz impor... | null | hr_incidents/wizard/inhabilities_absenteeism_report.py | inhabilities_absenteeism_report.py | py | 17,859 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "odoo... |
252560849 |
from matplotlib import pyplot as plt
from traitlets.config.loader import Config
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
from ctapipe.io import event_source
from lstchain.calib.camera.r0 import LSTR0Corrections
from ctapipe.coordinates import EngineeringCameraFrame
from lstchain.calib.... | null | lstchain/visualization/plot_drs4.py | plot_drs4.py | py | 6,955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.backends.backend_pdf.PdfPages",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 43,
"usage_type": "name"
},
{
"a... |
129370887 | import cv2
import numpy as np
img = cv2.imread('naruto.jpg',0)
cv2.imwrite('naruto_in.jpg', img)
print(img.shape)
(row, col) = img.shape
size = max(row, col)
M = cv2.getRotationMatrix2D((col/2, row/2), 45, 1)
dst = img.transpose()
dst = cv2.flip(dst, 0)
# dst = cv2.warpAffine(img, M, (col, row))
print(row, col)
pri... | null | image.py | image.py | py | 384 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_num... |
195561540 | from itertools import starmap, product
def quad_sum(*args):
qsum = [i*i for i in args]
return(sum(qsum))
def maximize(lists, m):
max = 0
for i in starmap(quad_sum, list(product(*lists))):
if i % m > max:
max = i % m
return max
| null | w8/9.py | 9.py | py | 269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.starmap",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 9,
"usage_type": "call"
}
] |
338021540 |
import json
import requests
from pprint import pprint
import zipfile
import io
# just see the raw response from the url
url = ''
r = requests.get(url, stream=True, timeout=10) # add timeout at a later check in
# avoid partially reading request streams / make sure it is always closed!
#with requests.get('http://ht... | null | second analysis to find dupes.py | second analysis to find dupes.py | py | 2,642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_num... |
102401693 | ## Ignore duplicated library
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
import glob
import pickle
## Measure execution time, becaus Kaggle cloud fluctuates
import time
start = time.time()
## Importing standard libraries
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot a... | null | model/signoff/model_preload_split.py | model_preload_split.py | py | 7,225 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_numbe... |
549541319 | #!/bin/env python3
'''
** Chaveat: not suitable for millions of files, it shows slow performance to get object list
ChangeLogs
- 2021.08.03:
- support multiprocessing(spawn)
- fixing windows path delimeter (\)
- support compatibility of file name between MAC and Windows
- 2021.08.02:
- adding logger
- fixin... | null | s3booster-upload-dir.py | s3booster-upload-dir.py | py | 6,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.INFO",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.set_start_method",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "boto3... |
429411620 | ##############################################################################
#
# Copyright (c) 2004 Zope Corporation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SO... | null | book/trunk/exceptionview/ftests.py | ftests.py | py | 1,288 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zope.app.tests.functional.BrowserTestCase",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "unittest.TestSuite",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "unittest.makeSuite",
"line_number": 36,
"usage_type": "call"
},
{
"a... |
82788690 | import os
import numpy as np
import pandas as pd
import pendulum as pdl
import swifter
import torch
from torch.utils.data import DataLoader
from model import Model, dataset
if __name__ == "__main__":
if not os.path.exists("result"):
os.mkdir("result")
sensitive = 0 # control the detector sensitive ... | null | exam3/predict.py | predict.py | py | 2,272 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "model.dataset",
"line_number... |
112924229 | import torch.nn as nn
import torch.nn.functional as F
from allennlp.commands.elmo import ElmoEmbedder
from utils.data_utils import get_batch, save_params
from utils.train_utils import classification_report, f1_score, recall_score
import torch
import numpy as np
import random
from timeit import default_timer as timer
fr... | null | models/LSTM.py | LSTM.py | py | 9,756 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
393231741 | import logging
##
## logging
##
# https://docs.python.org/2/howto/logging.html
# https://docs.python.org/2/library/logging.config.html
#
# Level | When it is used
# ----- | ---------------
# DEBUG | Detailed information, typically of interest only when diagnosing problems.
# INFO | Confirmation that thing... | null | corr/__init__.py | __init__.py | py | 891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
}
] |
17545541 | from datetime import date, timedelta, datetime
import csv
import json
import os
STATISTICS_DIR = '/var/www/html/bzt-usage-stats/'
def counts_launches_per_day(filename):
"""Counts launches per day"""
date = None
cloud_users_env = ["jenkins", "travis", "bamboo", "teamcity", "docker", "amazon", "google_cloud... | null | site/bzt-usage-stats/aggregate_stat.py | aggregate_stat.py | py | 5,615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_numb... |
630920123 | import urllib.request as request
import http.cookiejar as cookiejar
import re
import ssl
import os
import smtplib
from email.mime.text import MIMEText
import time
user = 'xxxx' # 登陆邮箱
pwd = '' # 邮箱密码
to = [''] # 发送的邮箱
with open('D:\\Python源码\\city.txt', 'r') as f:
a = f.re... | null | src/getticketfrom12306/getTicket.py | getTicket.py | py | 6,970 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "http.cookiejar.LWPCookieJar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "http.cookiejar",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "urllib.request.... |
635439925 | #!/bin/env python
"""
This is template for ansible dynamic inventory script.
"""
import json
import argparse
host = "host_ip"
def get_inventory_data():
return {
"93k": {
"hosts": ["93k"],
"vars": {
"ansible_python_interpreter": "/opt/tools/bin/python",
... | null | stage/vm_creation-n-ansible/inventory.py | inventory.py | py | 867 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
}
] |
643294599 | import nibabel as nib
import numpy as np
import glob
import json
import random
import os
import sys
import difflib
from scipy import stats
from numpy import copy
from keras.models import model_from_json
from keras import backend as K
from keras.callbacks import ModelCheckpoint, History
from keras.optimizers import Ada... | null | ribbon.train_CNN_unet.n2soft.d00.py | ribbon.train_CNN_unet.n2soft.d00.py | py | 16,305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.random_integers",
"... |
466507191 | from django.db import migrations
def rebuild_mptt(apps, schema_editor):
TenantGroup = apps.get_model('tenancy', 'TenantGroup')
for i, tenantgroup in enumerate(TenantGroup.objects.all(), start=1):
TenantGroup.objects.filter(pk=tenantgroup.pk).update(tree_id=i)
class Migration(migrations.Migration):
... | null | netbox/tenancy/migrations/0008_nested_tenantgroups_rebuild.py | 0008_nested_tenantgroups_rebuild.py | py | 545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RunPython",
"line_number": 17,
"usage_type": "call"
},
... |
346105122 | from adapter import ApiClient, ApiRestClient, SoapClient, WCFClient, WCFClientAdapter
from bridge import Foco, HomeSwitch, Computador
from decorator import Pudge, CinturonFuerza, CapaMago
from composite import Empleado, JefeUnidad, Area
from facade import crear_organigrama
from flyweight import ImagenFactory
def versi... | null | src/estructurales/main.py | main.py | py | 1,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "adapter.ApiClient",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "adapter.ApiRestClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "adapter.SoapClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "adapter.WCF... |
96197866 | import getopt, sys
import logging, coloredlogs
from create import log_config, check_name_email, print_help
from db_functions import connect_to_db,disconnect_from_db
from models import Account
def get_options(args, account, email, help_msgs):
# If user didn't supply options
if len(args) == 0 :
logging.warning("Us... | null | scripts/delete.py | delete.py | py | 2,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.warning",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "getopt.getopt",
"line_numbe... |
623842891 | import dataclasses
from datetime import datetime
from typing import List
from unittest import mock
from puff import influx
from puff.tests import bootstrap
class PuffTest(bootstrap.UnitTestCase):
@mock.patch('influx.client.Client.write')
def test_save(self, writer):
service = influx.Puff()
it... | null | puff/tests/test_influx.py | test_influx.py | py | 1,539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "puff.tests.bootstrap.UnitTestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "puff.tests.bootstrap",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "puff.influx.Puff",
"line_number": 13,
"usage_type": "call"
},
{
"api_... |
108429436 | """
write_db.py 写数据库演示
"""
import pymysql
# 连接数据库
db = pymysql.connect(host='localhost',port=3306,
user='root',password='123456',
database='stu',charset='utf8')
# 生成游标对象 （操作数据库,执行sql语句）
cur = db.cursor()
# 执行各种对数据库的写操作
try:
# 执行增删改等语句
# 一、添加操作
# sql = "insert into cla... | null | write_db.py | write_db.py | py | 1,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 7,
"usage_type": "call"
}
] |
45863425 | import os
import sys
import numpy as np
import cv2
import imgdb
import imgdata
import nnmpl
import pickle
from scipy import stats
OPIS = """recognizephone.py <mode> <database> <method> <images>
mode:
create - uczenie na podstawie folderu podanego jako parametr images
check - sprawdzenie wybranego zdjęcia podan... | null | statrecognize.py | statrecognize.py | py | 4,236 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 32... |
553929680 |
import logging
from flask import request
from flask_restplus import Resource
from app.api.bigquery.business_interactions import get_request_status, run_query, ndex
from app.api.bigquery.serializers import query_request, query_status_response, query_response, ndex_request, ndex_response
from app.api.bigquery.parsers i... | null | app/api/bigquery/endpoints/interactions.py | interactions.py | py | 2,923 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.api.restplus.api.namespace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.api.restplus.api",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": ... |
90378294 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import preprocessing
import os
def csv_to_dataframe(filepath):
if os.path.exists(filepath):
df = pd.read_csv(filepath)
else:
raise IOError('Please provide valid file path')
return df
def merge_dataframe(d... | null | build.py | build.py | py | 3,551 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.nanmedian",
"line... |
159962916 | # Copyright 2020 Xilinx Inc.
#
# 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 agreed to in writing, ... | null | docs-jp/Machine_Learning/Introduction/03-Basic/Module_5/reference_scripts/code/gen_data/create_data.py | create_data.py | py | 4,974 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
... |
103525539 | import unittest
import theano
import pymc3 as pm
import numpy as np
import lasagne.updates as updates
import lasagne.nonlinearities as to
from gelato.layers import DenseLayer, InputLayer
from gelato.variational.elbo import sample_elbo
from gelato.layers.helper import get_output
from .datasets import generate_data
from ... | null | gelato/tests/test_magic.py | test_magic.py | py | 1,561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "datasets.generate_data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.matr... |
36343613 | # This file will be using the TensorFlow model in the following directory
# /home/seniordesign/TensorFlow/CompletedModels/lugnut
import turtle
import time
import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile
import cv2
from collections imp... | null | lugnutDetection.py | lugnutDetection.py | py | 5,267 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.Graph",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.GraphDef",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": ... |
170337194 | from django.shortcuts import render
from .models import Bicicleta
from django.http import HttpResponseRedirect
from django.contrib.auth.decorators import login_required
# Create your views here.
def index(request):
return render(request, 'cadastro/index.html', {})
def editar(request, id):
item = Bicicleta.ob... | null | cadastro/views.py | views.py | py | 1,401 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Bicicleta.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Bicicleta.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
180364333 | import tensorflow as tf
import numpy as np
from gym import spaces
from typing import Tuple, Union
from pathlib import Path
from tqdm import tqdm
from stable_baselines.common.input import observation_input
from stable_baselines.common import tf_util
from stable_baselines.common.cmd_util import make_atari_env
from stabl... | null | stable_baselines/reconstruction/worldmodel_vae.py | worldmodel_vae.py | py | 6,348 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.distributions",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "g... |
325080532 | import chalicelib.utils.helper
from chalicelib.core import events, significance, sessions
from chalicelib.utils.TimeUTC import TimeUTC
from chalicelib.utils import helper, pg_client
from chalicelib.utils import dev
import json
REMOVE_KEYS = ["key", "_key", "startDate", "endDate"]
ALLOW_UPDATE_FOR = ["name", "filter"... | null | api/chalicelib/core/funnels.py | funnels.py | py | 12,368 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "chalicelib.core.events.event_type",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "chalicelib.core.events",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "chalicelib.core.events.event_type",
"line_number": 16,
"usage_type": "attri... |
329920429 | from django.test import TestCase
from django.core.exceptions import ValidationError
from tests import factories
from campaigns.models import Message
class MessageTestCase(TestCase):
def test_clean_raises_validation_error_on_incorrect_owner(self):
user1 = factories.AccountFactory()
user2 = factor... | null | api/tests/campaigns/test_models.py | test_models.py | py | 895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tests.factories.AccountFactory",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tests.factories",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "te... |
13697857 | ########################################################################################################################
__doc__ = \
"""
These are extra functionality for Igor
"""
__author__ = "Matteo Ferla. [Github](https://github.com/matteoferla)"
__email__ = "matteo.ferla@gmail.com"
__date__ = "2020 A.D."
_... | null | fragmenstein/igor/_igor_utils_mixin.py | _igor_utils_mixin.py | py | 3,301 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyrosetta.rosetta.protocols.docking.setup_foldtree",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pyrosetta.rosetta",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pyrosetta.Vector1",
"line_number": 33,
"usage_type": "call"
}... |
258348605 | import filecmp
import os
import re
import shutil
from pathlib import Path
from unittest.mock import patch
import pytest
from dvc.dvcfile import DVC_FILE, Dvcfile
from dvc.exceptions import (
CyclicGraphError,
ReproductionError,
StagePathAsOutputError,
)
from dvc.fs.local import LocalFileSystem
from dvc.ma... | null | tests/func/test_repro.py | test_repro.py | py | 37,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.basic_env.TestDvc",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "os.unlink",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "dvc.main.main",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "tests.basic_env.TestD... |
12414269 | from collections import Iterable
import numpy as np
from a405thermo.constants import constants as c
class constants:
"""
A list of constants relevant to atmospheric science.
References
- - - - - -
Emanuel appendix 2
"""
Tc = 273.15 #0 deg C in Kelvin
eps = 0.622
p0 = 1.e5
eps = 0.62... | null | a405thermo/thermlib.py | thermlib.py | py | 4,984 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Iterable",
"line_number": 61,
"usage_type": "argument"
},
{
"api_name": "numpy.atleast_1d",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "a405thermo.consta... |
52320284 | from django.shortcuts import render
from django.http import HttpResponse
from django.core.files.storage import FileSystemStorage
from .models import *
from .forms import *
# Create your views here.
def home(request):
return render(request, 'home.html')
def patient(request):
saved = False
if request.metho... | null | bbms/pp/views.py | views.py | py | 947 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name"... |
528788319 | import numpy as np
import matplotlib.pyplot as plt
from random import choice
import math
b = np.random.rand(3) # weights or betas
alpha = 0.1 #learning rate
n = 100 # training iterations
def plot_data(set1, set2):
plt.xlabel('sepal length')
plt.ylabel('sepal width')
x, y = set1.T
group_1 = plt.scatte... | null | logistic-regression/logistic-regresion.py | logistic-regresion.py | py | 3,061 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.rand",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
194999431 |
"""
@file openxc-python\tests\test_vehicle.py OpenXC Test Vehicle Script
@author Christopher Peplin github@rhubarbtech.com
@date June 25, 2013
@version 0.9.4
@brief OpenXC Test Vehicle Script."""
from nose.tools import eq_, ok_
import unittest
import time
from openxc.sources import DataSource
from openxc.m... | null | tests/test_vehicle.py | test_vehicle.py | py | 3,312 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "openxc.vehicle.Vehicle",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "nose.tools.ok_",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "nose.too... |
354458215 | """
functions for DEM input and output preparation for use with HAIL-CAESAR
John J Armitage
"""
from osgeo import gdal
import numpy as np
import rasterio as rio
from scipy.interpolate import RegularGridInterpolator
def tif2asc(tiffile, ascfile):
"""
Function to convert a geotiff (.tif) file into an ascii fil... | null | caesarpy/.ipynb_checkpoints/demio-checkpoint.py | demio-checkpoint.py | py | 4,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rasterio.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number"... |
147695458 | """
/***************************************************************************
RuGeocoder
A QGIS plugin
Geocode your csv files to shp
-------------------
begin : 2012-02-20
copyright : (C) 2012 by Nikulin Evgeniy... | null | src/yandex_geocoder.py | yandex_geocoder.py | py | 2,422 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base_geocoder.BaseGeocoder",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "urllib.quote",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
73641788 | import S4
from lib.grating import Grating
import numpy as np
import scipy.interpolate as interp
import lib.helpers as h
class ZCG(Grating):
SPEED_OF_LIGHT = 299792458*10**6 #in um/s
si_n = interp.interp1d(*zip(*[[((299792458*10**6)/float(f)),n] for f,n in h.opencsv('../matdat/silicon_n.csv',1)]))
si_k = ... | null | canon/old/gratings/zcg.py | zcg.py | py | 2,210 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.grating.Grating",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scipy.interpolate.interp1d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.h... |
418435056 | import sys
import argparse
import os
import yaml
import json
from psycopg2 import connect
from psycopg2.extras import RealDictCursor
from elasticsearch import Elasticsearch, helpers
from datafile import count_from_db, data_from_db, data_to_es
def init_es_index(index_name):
with open("{}.json".format(index_name... | null | index.py | index.py | py | 2,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
180019236 | #!/usr/bin/env python
''' Program will simulate transactions between random agents.
Assumptions:
N agents exchange money in pairs
All agents start with same amount of money m0 > 0
at given timestep, random agents exchange random (uniform) amount of money '''
''' Changelog:
V1.1 Added num_experiments to run multiple ... | null | PHY480tmp/mod/a1g5/Project4_finance2.1.py | Project4_finance2.1.py | py | 4,313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IPython.get_ipython",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
... |
443300202 | # -*- coding: utf-8 -*-
# @Time : 2020/1/7 18:36
# @Author : zhuxuefei
from common.get_db_data import init_arangodb
def get_group(groupName):
"""
查询cmdb数据库根据传入的配置项类型group获取对应记录
:param groupName:
:return:
"""
# 初始化Arangodb数据库对象
conn = init_arangodb("cmdb_db")
arangodb = conn.opendb(... | null | test_case/cmdb/test_group.py | test_group.py | py | 553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.get_db_data.init_arangodb",
"line_number": 14,
"usage_type": "call"
}
] |
281346013 | #!/usr/bin/python3.5
import requests
import json
import time
import datetime
import smtplib
import logging
from logging.handlers import RotatingFileHandler
f=open("/home/pi/credentials.conf","r")
lines=f.readlines()
tuple=lines[0].split()
user=tuple[0]
passwd=tuple[1]
to_address=tuple[2]
user_id=tuple[3]
f.close()
ip... | null | python/moon.py | moon.py | py | 3,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
372292185 | import json
import delorean
from datetime import datetime
from django.contrib import messages
from django.http import JsonResponse
from django.shortcuts import redirect, render
from django.urls import reverse
from ...decorators import admin_required, login_required
from ..scores.models import ScoreBoard
from .forms ... | null | hocoapp/apps/events/views.py | views.py | py | 1,544 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.datetime.timestamp",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{... |
627776627 | # -*- coding: utf-8 -*-
#
# Update the settings as needed
#
from tools.common import is_testenv
config = {}
# Configure session information here
config['webapp2_extras.sessions'] = {
# Put your secret key in here this should be unique to each application
'secret_key': 'put your secret key in here this should ... | null | scouts/app/settings.py | settings.py | py | 1,168 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tools.common.is_testenv",
"line_number": 30,
"usage_type": "call"
}
] |
298479620 | from random import choice, randint
from bs4 import BeautifulSoup
import requests
from collections import namedtuple
import datetime
from time import sleep, strftime,gmtime
import sqlite3
base_url = 'https://www.google'
country = '.co.uk'
query = '/search?&ie=UTF-8&q='
campaign = 'FX BROKERS'
keywords =... | null | monitoring.py | monitoring.py | py | 5,154 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.strftime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"li... |
349815631 | from unittest import TestCase
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
from allennlp.data.token_indexers import PretrainedTransformerIndexer
from allennlp.data.vocabulary import Vocabulary
from acceptability.data.dataset_readers import SuffixReader
class TestSuffixReader(TestCase):
de... | null | acceptability/tests/data/dataset_readers/test_suffix_reader.py | test_suffix_reader.py | py | 3,694 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "allennlp.data.vocabulary.Vocabulary",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "acceptability.data.dataset_readers.SuffixReader",
"line_number": 24,
"usage_type": ... |
92026858 | from transformers import *
import torch
import argparse
import math
import numpy as np
import time
import random
class HalfPrecisionLayer(torch.nn.Module):
def __init__(self, name, layer):
super(HalfPrecisionLayer, self).__init__()
self._name = name + '_fp16'
self._modules[self._name] = la... | null | src/bert_test_pytorch.py | bert_test_pytorch.py | py | 12,768 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.float32",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.float16",
... |
512075352 | import telnetlib
import time
from scpi import SCPI
class InterfaceOutOfBoundsError(Exception):
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
class Keithley2700(SCPI):
"""
http://www.keithley.com/data?asset=10642
"""
def __init__(self... | null | PyExpLabSys/drivers/keithley_2700.py | keithley_2700.py | py | 4,489 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scpi.SCPI",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scpi.SCPI.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scpi.SCPI",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scpi.SCPI.__init__",
"line... |
465725905 | import streamlit as st
import cv2
from PIL import Image
import time
from io import BytesIO
import numpy as np
class smoothingFilters():
def __init__(self,image,K = 3, P= None):
self.k = K
self.image = image
self.P = P
self.outputimage = None
def trimmedMean(self,array):
... | null | Filter_GUI.py | Filter_GUI.py | py | 8,603 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.mean",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "numpy.insert",
"line_number... |
358647705 | import pytest
import tasks
from tasks import Task
def test_count():
count=tasks.count()
assert isinstance(count,int)
def test_count_num():
new_task = Task('do something')
task_id = tasks.add(new_task)
count=tasks.count()
tasks.delete(task_id)
assert count==2
def test_count_delete():
c... | null | code/ch2/tasks_proj/tests/func/test_count.py | test_count.py | py | 650 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tasks.count",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tasks.Task",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tasks.add",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tasks.count",
"line_number": 12,
... |
279044769 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import pyttsx3
import speech_recognition as sr
import webbrowser
import datetime
import wikipedia
import pyaudio
import os
from googlesearch import search
import subprocess
import shutil
# from capstone import takeCo... | null | capstone2_main.py | capstone2_main.py | py | 10,563 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isdir",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 92,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
461271852 | # _*_ coding:utf-8 _*_
# company: RuiDa Futures
# author: zizle
from PyQt5.QtWidgets import QWidget, QTabWidget, QHBoxLayout
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtCore import QUrl
class WebEngineView(QWebEngineView):
def __init__(self,mainwindow,parent=None):
super(WebEngineView... | null | frontEnd/windows/diy_brower.py | diy_brower.py | py | 1,958 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWebEngineWidgets.QWebEngineView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 27,
"usage_type": "call"
},... |
81032207 | #!/usr/local/lib/python3.5/dist-packages
import sys
import json
repo_dir = "/home/sexy/source/deep-visual-odometry/"
sys.path.append(repo_dir+'python/snippets/')
sys.path.append(repo_dir+'models/')
import formatData
from alexNet_5 import run_model, create_model
netNum = '5'
path = repo_dir + "models/alexNet_"+netNum+"... | null | models/hand_crafted/alexnet_inspired/alexNet_5/separated_datasets.py | separated_datasets.py | py | 808 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
178282315 | import numpy as np
import matplotlib.pyplot as plt
from sys import exit
from scipy.integrate import simps
from norm import norm_array
from small_friction import rho as rho_limit
q = 0.05
rho = np.loadtxt("data/r.dat", delimiter=';')
R = np.loadtxt("data/x.dat")
r = np.loadtxt("data/y.dat")
dR = R[1] - R[0]
dr = r[1]... | null | RT/plot.py | plot.py | py | 2,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.loadtxt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
... |
492140736 | import pygame
from .actor import Actor
from lib.vectors import Vector2
from lib.components.image_components import SpriteComponent
from lib.components.colliders import CircleCollider
class Fire(Actor):
def __init__(self, game):
super().__init__(game)
self.tag = 'player_fire'
self.dir = 0
... | null | src/lib/actors/fire.py | fire.py | py | 1,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "actor.Actor",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "lib.vectors.Vector2",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lib.components.image_components.SpriteComponent",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
387970175 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sqlite3
# Cria a conexão e o cursor
conn = sqlite3.connect('dados/loteria.db')
# define o cursor
cur = conn.cursor()
# deleta a tabela se ela existir
cur.execute('''DROP TABLE IF EXISTS loto''')
# cria a tabela
cur.execute('CREATE TABLE loto'
'(id INTE... | null | oldVersion/createdb.py | createdb.py | py | 717 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
}
] |
456909666 | #!/usr/local/bin/python3
"""Train the model"""
import argparse
import logging
import os,sys
import pdb
import tensorflow as tf
from tensorflow.python import debug as tf_debug
from tqdm import tqdm
from src.graph import ModelGraph
from src.utils import Params
if __name__ == '__main__':
parser = argparse.Argumen... | null | train.py | train.py | py | 3,329 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.utils.Params",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.t... |
576165849 | #########
# IMPORTS
#########
from brian2 import *
import matplotlib as mpl
import matplotlib.pyplot as plt
###########
# FUNCTIONS
###########
######
# MAIN
######
start_scope()
tau = 10*ms
eqs = '''
dv/dt = (1-v)/tau : 1 (unless refractory)
'''
G = NeuronGroup(1, eqs, threshold='v>0.8', reset='v = 0', refracto... | null | SNNtest.py | SNNtest.py | py | 630 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "m... |
159709931 | import time
import json
# return current time in a string format
def get_current_time():
minutes = str(time.localtime(time.time()).tm_min)
seconds = str(time.localtime(time.time()).tm_sec)
hours = str(time.localtime(time.time()).tm_hour)
return hours+":"+minutes+":"+seconds+"\n"
with open('log.txt','a') as l... | null | Files/main.py | main.py | py | 1,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.localtime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 7... |
42630647 | import json
from django.http import HttpResponse
from django.http import JsonResponse
from . import authenticator
def Login(request):
req_json = json.loads(request.body)
auth_token = req_json.get('token', '')
auth_env = authenticator.GetAuthEnvironment(auth_token)
response = JsonResponse(auth_env)
if auth... | null | authentication/apis.py | apis.py | py | 547 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 20,
"usage_type": "call"
}
] |
197271872 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc.
#
# 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 ... | null | plugins/worker/server/__init__.py | __init__.py | py | 4,068 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "girder.utility.model_importer.ModelImporter.model",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "girder.utility.model_importer.ModelImporter",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "celery.Celery",
"line_number": 67,
"usage_t... |
204001496 | import struct
from pprint import pformat
from queue import Queue
from socket import AF_INET
from socket import SOCK_STREAM
from socket import socket
from time import sleep
from time import time
from traceback import print_exc as printExc
from typing import Dict
from typing import Tuple
from .message import MessageToSe... | null | containers/actor/sources/utils/connection/messageSender.py | messageSender.py | py | 4,534 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "types.Component",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "debugLogPrinter.DebugLogPrinter",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "types.ComponentRole",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "t... |
152265614 | import tensorflow as tf
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Reshape
from tensorflow.keras.layers import Flatten
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers im... | null | src/old/Experiment09/src/GAN.py | GAN.py | py | 4,679 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Dense",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.LeakyReLU",
"line_number": 21,
"usage_type": "ca... |
323881068 | import torch
import numpy as np
import math
def trans_l2_loss(pred_control_points,
gt_control_points,
confidence=None,
confidence_weight=None,
device="cpu"):
error = torch.sum(torch.abs((pred_control_points[0:2... | null | models/losses.py | losses.py | py | 6,303 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.sum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.abs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number": 13,
... |
148243024 | # Andrew Piroli (c)2019-2020
# MIT LICENSE #
import datetime as dtime
import shutil
import multiprocessing as mp
import argparse
import csv
import os
import logging
import pathlib
import threading
import cylogging
from queue import Empty as QEmptyException
from time import sleep
from typing import Itera... | null | CiscoYoink.py | CiscoYoink.py | py | 11,914 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.managers.BaseProxy",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "cylogging.cylogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
189738460 | # Copyright (c) 2014 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.
"""Collect stats regularly via app engine cron.
"""
import calendar
import datetime
import json
import logging
import numpy
import webapp2
from google... | null | appengine/trooper_o_matic/appengine_module/trooper_o_matic/cron.py | cron.py | py | 13,260 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 32,
"usage_type": "call"
},
{
"api_na... |
184182398 | import pandas as pd
import numpy as np
from data import UserItemRatingDataset, SampleGenerator
from engine import Engine
from transformers import BertConfig
from seq2seq_reviews import Seq2Seq, Seq2SeqEmbeddingGenerator
from BERT_embedding import BertEmbeddingGenerator
def generate_tensors(embedding_generator, review... | null | embedding_testing.py | embedding_testing.py | py | 2,114 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.isna",
"line_numb... |
266335279 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/5/18 9:53 AM
# @Author : R
# @File : TMDB_predict_2.py
# @Software: PyCharm
# @Software: PyCharm
# coding: utf-8
# # Kaggle for TMDB
# In[1]:
import numpy as np
import pandas as pd
import warnings
from tqdm import tqdm
from sklearn.preprocessing... | null | TMDB/TMDB_predict_2.py | TMDB_predict_2.py | py | 30,712 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "pandas.to_datetime"... |
230844945 | from saport.knapsack.model import Problem
from saport.knapsack.solverfactory import SolverType, SolverFactory
from typing import List,Callable
import os
# manipulate following parameters to customize the benchmarks
class KnapsackBenchmark:
def __init__(self, problems: List[str], timelimit: int = 60, solver_types... | null | lab06_knapsack-alt/lab06_knapsack-alt/knapsack_benchmark.py | knapsack_benchmark.py | py | 3,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "saport.knapsack.solverfactory.SolverType",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "... |
427471858 | import requests as req
import pandas as pd
import count_aas as aas
import Bio.SeqIO as SeqIO
import os
import sys
import hydropathy as hp
import numpy as np
def create_fill_dict(text):
""" Create and fill dict from input filepath.
"""
# add fasta sequences to dict
for fasta in fasta_seque... | null | exercises/proteinclass.py | proteinclass.py | py | 4,515 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_numbe... |
396619675 | """Heroku Log Lights is a visualisation of Heroku router logs for an LED matrix."""
import argparse
import asyncio
import functools
import logging
import os
import signal
import sys
try:
from rgbmatrix import RGBMatrix
except ImportError:
RGBMatrix = None
from heroku_loglights.io import read_stream, print_log... | null | heroku_loglights/__main__.py | __main__.py | py | 2,289 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rgbmatrix.RGBMatrix",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging... |
472264237 | import requests
import logging
class Base:
def __init__(self):
self.logger = logging.getLogger(__name__)
@staticmethod
def get(**kwargs):
url = kwargs.get('url', None)
headers = kwargs.get('headers', None)
params = kwargs.get('params', None)
return requests.get(url... | null | src/external/base.py | base.py | py | 871 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.delete",
"li... |
552657547 | from django.contrib import admin
from django.contrib.auth import get_user_model
from django.contrib.auth.admin import UserAdmin
from .models import Category, Comment, Genre, Review, Title
User = get_user_model()
class YamDBUserAdmin(UserAdmin):
model = User
add_fieldsets = (
(None, {
'cl... | null | api/admin.py | admin.py | py | 1,894 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.admin.UserAdmin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.admin.UserAdmin.fieldsets",
"line_number": 21,
... |
107033748 | from django import forms
from .utils import to_satoshi
from django.core.exceptions import ValidationError
from django.utils.translation import ugettext_lazy as _
class WithdrawForm(forms.Form):
address = forms.CharField(required=True, max_length=40)
amount = forms.DecimalField(required=True)
def __init_... | null | wallets/forms.py | forms.py | py | 1,545 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
254225440 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
num_points = 1000
vectors_set = []
for i in range(num_points):
x1 = np.random.normal(0.0, 0.55)
y1 = x1 * 0.1 + 0.3 + np.random.normal(0.0, 0.03)
vectors_set.append([x1, y1])
x_data = [v[0] for v in vectors_... | null | deep_study/linear_fitting.py | linear_fitting.py | py | 1,513 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.normal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
358651974 | #!/usr/bin/env python3
import argparse
import yaml
import json
from pathlib import Path
def main():
parser = argparse.ArgumentParser(description="Creates config_biobb.json and config_biobb.yml files.",
formatter_class=lambda prog: argparse.RawTextHelpFormatter(prog, width=999... | null | configs_generator.py | configs_generator.py | py | 1,651 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "... |
256529426 | import json
from argparse import ArgumentTypeError
from django.core.management.base import BaseCommand
from ...models import UploadEvent
def update_upload(upload):
d = json.loads(upload.metadata)
if "match_start_timestamp" in d:
d["match_start"] = d.pop("match_start_timestamp")
if "client_id" in d:
d["client_h... | null | hsreplaynet/uploads/management/commands/rename_upload_keys.py | rename_upload_keys.py | py | 1,522 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.core.managemen... |
144913564 | # Learning how to code Python.
# This project is going to be used to analyze sentiments of various cloud streaming platforms.
# Inspired by the latest Stadia drama. Stadia is good!
# Project Site
# https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/
import re
import tweepy
from tweepy import OAuth... | null | python-cloud-gaming-sentiment-analysis.py | python-cloud-gaming-sentiment-analysis.py | py | 4,750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_n... |
570745941 | # -*- coding: utf-8 -*-
'''
分词，提词的主程序
先词形还原，再词频统计
去掉简单的单词后，生成单词本
'''
import requests,re,threading,traceback,os,sys,time
from bs4 import BeautifulSoup
from tqdm import tqdm
from nltk.stem import WordNetLemmatizer
from nltk.corpus import wordnet
from nltk import pos_tag
lemmatizer = WordNetLemmatizer()
Max_lookup_connect... | null | vocabulary/vocabulary.py | vocabulary.py | py | 11,280 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
35232681 | # !/usr/bin/env python
# -- coding: utf-8 --
# @Time : 2020/11/5 10:46
# @Author : liumin
# @File : fcos_detect.py
import torch
import torch.nn as nn
from ..backbones.resnet import ResNet
from ..heads.fcos_head import ClsCntRegHead
from ..necks.fpn import FPN
def coords_fmap2orig(feature, stride):
... | null | src/models/tools/fcos_detect.py | fcos_detect.py | py | 15,827 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"lin... |
309622593 | """ Welborn Productions - Template Nodes
Provides renderable nodes for templates.
-Christopher Welborn 09-03-14
"""
import base64
import json
import logging
import os
import sys
from django import template
from django.utils.safestring import mark_safe
from wp_main.utilities import utilities, htmltools, highlig... | null | wp_main/templatetags/wp_nodes.py | wp_nodes.py | py | 10,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.template.Library",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "base64.enco... |
125391056 | '''
Created on Oct 22, 2018
@author: fxua
'''
from apps.app import App
from apps.generic_app.gaconf import GaConfig
from apps.generic_app.gafextor import GaFextor
from apps.generic_app.engine_creator import createEngine,loadEngine
from modules.basics.conf.generalconf import gGeneralConfig
from modules.mlengine_cores.c... | null | py_ml/apps/generic_app/generic_app.py | generic_app.py | py | 4,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.app.App",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "apps.generic_app.gaconf.GaConfig",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "apps.generic_app.gafextor.GaFextor",
"line_number": 29,
"usage_type": "call"
},
{
"... |
263942205 | from logging import LogRecord
from django.test import TestCase
from oscar.test.decorators import dataProvider
from oscar.core.logging.formatters import PciFormatter
class PciFormatterTests(TestCase):
def setUp(self):
self.formatter = PciFormatter()
def test_a_basic_string_is_unchanged(self):
... | null | oscar/core/logging/tests.py | tests.py | py | 1,530 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "oscar.core.logging.formatters.PciFormatter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "oscar.test.decorators.dataProvider",
"line_number": 25,
"usage_type": "cal... |
351696997 | import pygame
from pygame.locals import *
# from sys import exit
from data.backgrounds import Backgound as Back
# Class for controling all the menu on the game
class Settings(object):
def __init__(self, screen, soundSate, musicState):
self.screen = screen
self.background = Back(screen)
sel... | null | data/menus/settings/__init__.py | __init__.py | py | 4,977 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data.backgrounds.Backgound",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame... |
499444993 | import pymel.core as pm
import maya.mel as mel
from tik_autorigger import extraProcedures as extra
from tik_autorigger import contIcons as icon
import Qt
from Qt import QtWidgets, QtCore, QtGui
from maya import OpenMayaUI as omui
if Qt.__binding__ == "PySide":
from shiboken import wrapInstance
from Qt.QtCore ... | null | ikBuilder.py | ikBuilder.py | py | 10,192 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Qt.__binding__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "Qt.__binding__.startswith",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "Qt.__binding__",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "may... |
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