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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
418302126 | import openpyxl as px
from bitarray import bitarray
import operator
"""Special character removed
Words containing digit removed
if total frequency of a token is greater than 0.5 times no. of document then it is considered stop word
nothing is done in stemming
bitarray was used for query
query of an... | null | dand_hindi_q1.py | dand_hindi_q1.py | py | 5,882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bitarray.bitarray",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 149,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 158,
"usage_type": "call"
}
] |
378005987 | import os
from celery import Celery
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mysite.settings')
app = Celery('mysite')
app.config_from_object('django.conf:settings')
app.autodiscover_tasks()
app.conf.task_routes = {
'basics.tasks.queue_test': {'queue': 'slow'},
'*': {'queue': 'celery'},
} | null | mysite/mysite/celery.py | celery.py | py | 308 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.setdefault",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "celery.Celery",
"line_number": 7,
"usage_type": "call"
}
] |
506066048 | from django.forms import ModelForm, ValidationError
from user_panel.models.training import Training
class TrainingForm(ModelForm):
def clean(self):
cleaned_data = super().clean()
start = cleaned_data.get('start')
end = cleaned_data.get('end')
if start != None and end != None:
... | null | dialexi/user_panel/forms/training.py | training.py | py | 1,856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.ValidationError",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "user_panel.models.training.Training",
"line_number": 16,
"usage_type": "name"
}
] |
284334867 | import sys
#from PyQt4.QtWidgets import *
#from PyQt4.QtCore import *
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtWidgets, QtGui
import numpy as np
import cv2
import math
import os
class ControlWindow(QtWidgets.QWidget):
def __init__(self):
QtWidgets.QWidget.__init__(self)
self.cap =... | null | ratapps/whitebox.py | whitebox.py | py | 18,013 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyqtgraph.Qt.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pyqtgraph.Qt.QtWidgets",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyqtgraph.Qt.QtWidgets.QWidget.__init__",
"line_number": 14,
"usage_type": "ca... |
155217850 | import numpy as np
import cv2
import pdb
from keras.models import Model
from keras import layers
from keras.layers import Activation
from keras.layers import Dense
from keras.layers import Input,Dropout
from keras.layers import BatchNormalization
from keras.layers import Conv2D,Flatten
from keras.layers imp... | null | Code_Alpha/model.py | model.py | py | 5,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "keras.layers.Activation",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 41,
"usage_type": "call"
},
{
"api_n... |
561188898 | from lxml import html
import json
import requests
# get all product page links
page = requests.get("https://greenz.ca/shop")
tree = html.fromstring(page.content)
product_urls = []
next_button = True
while next_button:
for product in tree.xpath('//li[contains(@class, "type-product")]'):
product... | null | scraping/greenz/scrape.py | scrape.py | py | 851 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_num... |
566371043 | """
:mod:`expensum.cli.app` - Application entry point
===========================================================
This module contains all the entry points for the CLI application.
.. module:: expensum.cli.app
:synopsis: CLI application entry point
.. moduleauthor:: Lucas van Dijk <info@return1.net>
"""
from __... | null | expensum/cli/app.py | app.py | py | 2,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "expensum.models.Base.metadata.create_all",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "expensum.models.Base",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "expensum.models",
"line_number": 26,
"usage_type": "name"
},
{
... |
459849255 | import cv2
import numpy as np
def mouse_callback(event, x, y, flags, param):
"Função para definir as ações ao detectar eventos do mouse na imagem."
if event == cv2.EVENT_LBUTTONDOWN:
global image, image_to_show, limite
global was_pressed, pressed
# Restaura a imagem original
image_to_show = np.copy(image... | null | src/req4.py | req4.py | py | 3,322 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32... |
589013634 | import nltk # Load NLTK
import time
from service.TextMiningService import TextMiningService
from service.sklearnService import SkLearnService
from service.propertyService import PropertyService
# nltk.download()
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')
from db.postgresl import Prope... | null | python_textmining_master/python_modules/service/update_property_size_textmining.py | update_property_size_textmining.py | py | 1,390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "db.postgresl.PropertyDAO",
... |
461599341 | #!/usr/bin/python3
"""
Function that queries the Reddit API and returns the number of subscribers
(not active users, total subscribers) for a given subreddit
"""
from requests import get
def number_of_subscribers(subreddit):
"""
Suscribers by subreddit
"""
headers = {"user-agent": "kyeeh"}
url = "... | null | 0x16-api_advanced/0-subs.py | 0-subs.py | py | 571 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
4315148 | #! estimateAreaofCircleAndAlsoPi.py
# Are you familiar with the dartboard estimation of the area of a circle?
'''
Consider a dartboard with a circle of radius r inscribed in a square with side 2r.
Now let's say you start throwing a alrge number of darts at it.
Some of these will hit the board within the circle (e.g. N)... | null | Python Refresher/Python Math/5 Sets, Probability, Cartesian Products, Law of Large Numbers, Estimating Area of a Circle/estimateAreaofCircleAndAlsoPi.py | estimateAreaofCircleAndAlsoPi.py | py | 1,671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.uniform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sympy.pi",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "sympy.pi.evalf",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sympy.pi",
"line_number": ... |
575900368 | import numpy as np
import glob
from scipy import misc
from skimage.transform import resize
from sklearn.utils import shuffle
import matplotlib.pyplot as plt
class DatasetProcessing(object):
#Initaliser method
def __init__(self, typeOfImg, numofimgs, pathtoimgs):
self.pathToImgs = pathtoimgs
se... | null | Testing/DataPreProcessing/DataPreProcessing.py | DataPreProcessing.py | py | 3,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.misc.imread",
"line_numbe... |
163569531 | """
Class to handle stat collection
"""
import os
import numpy as np
import scipy.io
import ConfigParser
from utils import get_unique_file_name
import logging
log = logging.getLogger("global_log")
class StatManager:
def __init__(self, configFile, name="", resultsFile=None):
self.parseConfigurationFile(co... | null | pyhawkes/utils/stat_manager.py | stat_manager.py | py | 10,847 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ceil",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
334205890 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import inspect
from functools import wraps
def carry(func, additional_args = (), kwargs = (), force_defaults = False):
"""
@carry
or
@carry(force_defaults = True)
Decorator which enables function arguments carrying. If there i... | null | a_carrying.py | a_carrying.py | py | 5,208 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.wraps",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "inspect.getargspec",
"line_number": 70,
"usage_type": "call"
}
] |
466557678 | """Learn embedding weights with LBANN."""
import argparse
import os.path
import lbann
import lbann.contrib.launcher
import lbann.contrib.args
import dataset
from utils import make_iterable, str_list
import utils.snap
# ----------------------------------
# Options
# ----------------------------------
# Command-line ... | null | applications/graph/main.py | main.py | py | 4,886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lbann.contrib.args.add_scheduler_arguments",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lbann.contrib",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
154800229 | import keras
import numpy as np
from tensorflow.python.keras.callbacks import Callback
from validators.lfw import read_pairs_file, create_pairs, read_images
class ValidateOnLfw(Callback):
def __init__(self, pairs_path, lfw_path, classes_count):
self.pairs = pairs_path
self.lfw_path = lfw_path
... | null | metric_learning/callbacks.py | callbacks.py | py | 2,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.python.keras.callbacks.Callback",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "validators.lfw.read_pairs_file",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "validators.lfw.create_pairs",
"line_number": 17,
"usage_type": "... |
16763442 | """
Authors: sfatima@i2cinc.com
Purpose:
This file contains a database connection class that allows to group database connection parameters for python
"""
from pyspark import SQLContext
class SparkProperties:
def __init__(self, url, properties=None, spark=None, sc=None):
self.sql_context = SQLContext(s... | null | AICommons/aicommons/sparkProperties/SparkProperties.py | SparkProperties.py | py | 432 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.SQLContext",
"line_number": 14,
"usage_type": "call"
}
] |
222066521 | import matplotlib.pyplot as plt
import base64
from io import BytesIO
def get_graph():
buffer=BytesIO()
plt.savefig(buffer, format="png")
buffer.seek(0)
image_png=buffer.getvalue()
graph=base64.b64encode(image_png)
graph=graph.decode("utf-8")
buffer.close()
return graph
def get_plot(cd... | null | statistic/utils.py | utils.py | py | 1,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.BytesIO",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "base64.b64encode"... |
322789581 | import os
import shutil
import sys
from utils.porterStemming import PorterStemmer
# -----------------------------
# CONFIGURE SPARK ENVIRONMENT
# -----------------------------
try:
os.environ['SPARK_HOME'] = "/Users/admin/spark-1.6.0/"
sys.path.append("/Users/admin/spark-1.6.0/python/lib/py4j-0.9-src.zip") #... | null | SparkLearn/invert_index.py | invert_index.py | py | 4,057 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"... |
626789689 | import json
import threading
import time
import subprocess
from Queue import Queue
class Player(object):
def __init__(self, sounder):
self.sounder = sounder
with open('chords.js') as file:
self.chords = json.load(file)
def chord(self, k):
c = self.chords[k]
# print... | null | giantguitar/player.py | player.py | py | 1,728 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Queue.Queue",
"line_number": ... |
275294332 | # What is the fast way to apply bcs
from block import block_bc, block_assemble
from dolfin import *
from xii.linalg.convert import convert
from xii.linalg.convert import numpy_to_petsc
from scipy.sparse import csr_matrix
from block import block_mat, block_vec
from block.block_bc import block_rhs_bc
from petsc4py impo... | null | xii/linalg/bc_apply.py | bc_apply.py | py | 10,627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "block.block_mat",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "block.block_mat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "block.block_vec",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "block.block_v... |
16602252 | from django.contrib import admin
from django.forms import BaseInlineFormSet
from shop.models import Item, Section, Article, Order, OderedItem
@admin.register(Item)
class ItemAdmin(admin.ModelAdmin):
list_display = ['name', 'section']
list_filter = ['section']
@admin.register(Section)
class SectionAdmin(admi... | null | project/shop/admin.py | admin.py | py | 856 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 7,
"usage_type": "call"
},
{
... |
9318721 | import scipy as sp
from .ZCache import zkey
import scipy.integrate as integrate
import scipy.stats as stats
import scipy.optimize as optimize
import numpy as np
import random
import math
from cachetools import cached, TTLCache, keys
# cache = TTLCache(maxsize=100, ttl=300)
class Greedy:
def __init__(self, move_... | null | strategies/Greedy.py | Greedy.py | py | 2,503 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.uniform",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "scipy.optimize",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "scipy.integrate... |
63228405 | from django import template #导入模板模块
register=template.Library() #取出注册库，固定写法
@register.filter(name='coderstatus')#注册过滤器的名字为coderstatus
def coder_status(value,arg):
if value=='morehair':
return "{}是菜鸟程序员".format(arg)
if value=="middlehair":
return "{}是工程师级程序员".format(arg)
if value=='fewhair':
... | null | 书籍源码/第十六章部署样例/myproject-linux/myapp/templatetags/test_filter.py | test_filter.py | py | 448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 2,
"usage_type": "name"
}
] |
231992901 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ~ Author: Pavel Ivanov
import os
import sys
sys.path.append(os.path.abspath(os.path.dirname(__file__)+'/../'))
import json
import unittest
import flask_server
class FlaskTestCase(unittest.TestCase):
app = None
def __init__(self, *args, **kwargs):
"... | null | tests/flask_session_test.py | flask_session_test.py | py | 4,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
247949631 | from django.db import models
from django.utils import translation
from django.urls import reverse
from django.core.validators import FileExtensionValidator
import datetime
from ckeditor.fields import RichTextField
from hk.templatetags import custom_tags
selected_language = translation.get_language()
class All_Navba... | null | hk/models.py | models.py | py | 21,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.utils.translation.get_language",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.utils.translation",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 13,
"usage_type": "attribute"
},... |
51968718 | """
Library Features:
Name: lib_generic_utils_land
Author(s): Fabio Delogu (fabio.delogu@cimafoundation.org)
Date: '20190312'
Version: '1.0.0'
"""
#######################################################################################
# Library
import logging
import numpy as np
from src.co... | null | src/common/utils/lib_utils_apps_land.py | lib_utils_apps_land.py | py | 2,056 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "src.common.default.lib_default_args.sLoggerName",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "numpy.where",
"line_number": 26,
"usage_type": "call"
},
{
... |
228664881 | """
Created by Vilde N. Strom, July 2017.
Simula Research Laboratory
"""
import os
import shutil
import datetime
now=datetime.datetime.now()
time = now.strftime("%d.%m-%H.%M")
Date='Data-'+time #name of output folder
#Assigning variable names to important folders
root=os.getcwd() #path to In_Silico_Heart_Models
ma... | null | mat2fem.py | mat2fem.py | py | 7,384 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
... |
89899466 | '''
Created on Aug 16, 2010
@author: turturica
'''
from django.db.models.signals import post_save, pre_delete
from labinventory.event.models import Reservation
from labinventory.asset.models_common import StaticBag, StaticSystem, \
StaticLicense, StaticAddress, StaticCredential, Port, Asset
from labinvent... | null | labinventory/notifications/core.py | core.py | py | 7,594 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "labinventory.asset.conf.AUTOREFRESH_USERNAME",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "labinventory.asset.conf",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "labinventory.asset.models_common.Asset",
"line_number": 37,
"us... |
454413432 | """Test all the isotherm model functions."""
import ast
import os
import numpy
import pytest
import pygaps.calculations.models_isotherm as models
from pygaps.utilities.exceptions import ParameterError
MODEL_DATA_PATH = os.path.join(os.path.dirname(__file__), 'isotherm_model_data')
MODELS_TESTED = {
'Henry': py... | null | tests/calculations/test_models_isotherm.py | test_models_isotherm.py | py | 3,224 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_num... |
313000957 | #判断字符串是否是整数、浮点数、复数
'''def isNum(str):
print(isinstance(str,(int,float,complex)))'''
#判断是否是质数
'''def isPrime(i):
l=[]
for x in range(2,i):
if i%x==0:
l.append(x)
if len(l)==0:
print(True)
else:
print(False)
isPrime(24)'''
#编写函数计算传入的数字、字母、空格和其他字符的个数
'''def counts(st... | null | test1.py | test1.py | py | 5,774 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 169,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 187,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 188,
"usage_type": "call"
}
] |
182330313 | import os
import json
from django.conf import settings
def _get_secrets(file_name):
with open(os.path.join(settings.BASE_DIR, file_name)) as f:
return json.loads(f.read())
def get_secret(setting, file_name):
secrets = _get_secrets(file_name)
try:
return secrets[setting]
except KeyError... | null | _game_chats/settings/__init__.py | __init__.py | py | 438 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.conf... |
148811707 | from flask import Flask, render_template
from flask_debugtoolbar import DebugToolbarExtension
from jinja2 import StrictUndefined
import os
app = Flask(__name__)
app.jinja_env.undefined = StrictUndefined
app.secret_key = os.environ["SECRET_KEY"]
@app.route('/', methods=['GET'])
def view_index():
return render_t... | null | server.py | server.py | py | 439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "jinja2.StrictUndefined",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template... |
274476303 | from datetime import datetime
from queue import Queue
import serial
import sys
import time
import traceback
from concord.concord_commands import RX_COMMANDS, \
build_cmd_equipment_list, EQPT_LIST_REQ_TYPES, \
build_dynamic_data_refresh, build_keypress, \
build_cmd_alarm_trouble
from concord.concord_helper... | null | Concord4.indigoPlugin/Contents/Server Plugin/concord/concord.py | concord.py | py | 20,648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.EIGHTBITS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_ODD",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": ... |
533970561 | #!/usr/bin/env python3
#Bibliotecas importadas
from ev3dev.ev3 import *
from time import sleep
import time
import datetime
from simple_pid import PID
import paho.mqtt.client as mqtt
#Sensores do outro brick
sensor_ultra_server = 0
sensor_cor_server = 0
def on_message(client, userdata, message):
global sensor_cor... | null | kk.py | kk.py | py | 8,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "paho.mqtt.client.Client",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "paho.mqtt.client",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "simple_pid.PID",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "simple_pid.PI... |
27548238 | import logging
import torch
from ....extensions import nms
from ..utils.bbox_helper import filter_by_size
from ..utils.box_sampler import sample
from ..utils.matcher import match
logger = logging.getLogger('global')
def proposal_targets(proposals, gt_bboxes, gt_attris, image_info, cfg, ignore_regions=None):
T ... | null | unn/models/heads/attribute_head/attribute.py | attribute.py | py | 2,235 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.bbox_helper.filter_by_size",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "utils.ma... |
372217349 | import json
import boto3
from datetime import datetime
connection = boto3.client('emr', region_name='us-east-2')
clusters = connection.list_clusters(ClusterStates=['RUNNING','WAITING'])['Clusters']
def lambda_handler(event, context):
if len(clusters) > 0:
cluster_ids = []
for cluster in cluste... | null | TerminateEMRCluster/lambda_function.py | lambda_function.py | py | 555 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 6,
"usage_type": "call"
}
] |
100198178 | import sys
import collections
def findFrequentEntries(pairs):
# Your code here. Writes to standard out.
# Format for output lines: "Name: 1230 1240 1245"
occur = collections.defaultdict(list)
for l in pairs:
occur[l[0]].append(int(l[1]))
badge = {}
for k,v in occur.items():
occur[k]=... | null | random solutions/in.py | in.py | py | 1,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 50,
"usage_type": "attribute"
}
] |
290527064 | """
Functions for simplifying the creation of a local dask cluster.
"""
import os
import dask
from aiohttp import ClientConnectionError
from datacube.utils.dask import start_local_dask
from datacube.utils.rio import configure_s3_access
def create_local_dask_cluster(
spare_mem="3Gb",
aws_unsigned=True,
d... | null | Tools/deafrica_tools/dask.py | dask.py | py | 3,404 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dask.config.set",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "dask.config",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.environ",
"lin... |
475712623 | # -*- coding: utf-8 -*-
from django.http import HttpResponseForbidden
from django.core.cache import cache
from django.utils.deprecation import MiddlewareMixin
from .models import IPAddress, BannedUser
from . import settings
from .util import set_cookie, get_ip
def forbid(request, context=None):
"""
Forbids a... | null | pybb/contrib/ban/middleware.py | middleware.py | py | 2,057 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponseForbidden",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.utils.deprecation.MiddlewareMixin",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "util.get_ip",
"line_number": 43,
"usage_type": "call"
},
{... |
537023327 | #!/usr/bin/env python3
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from model import Base, Category, Item, User
engine = create_engine('sqlite:///catalog.db')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
session = DBSession()
user1 = User(username='user 1', emai... | null | vagrant/catalog/lotsofitem.py | lotsofitem.py | py | 4,629 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "model.Base.metadata",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "model.Base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.... |
525603150 | # -*- coding: utf-8 -*-
#!/usr/bin/env python3
'''
Created on Wed Nov 14 21:24:45 CST 2018
@Mail: minnglee@163.com
@Author: Ming Li
'''
import sys,os,logging,click
def LoadFiles(files):
'''
11 1415000 1480000 65000
11 4055000 4065000 10000
11 4480000 4495000 15000
'''
Dict = {}
for line in... | null | Selection/GetOverlap.py | GetOverlap.py | py | 1,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
... |
653682571 | import cv2
import math
class Overlay:
def __init__(self, joystickInput, angle, color, inverted):
self.joystickInput = joystickInput
self.angle = angle
self.color = color
self.inverted = inverted
def run(self, input, frame):
height, width, channels = frame.shape
... | null | Python/Utils/Overlay.py | Overlay.py | py | 784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.tan",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "math.pow",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 20,
... |
200758831 | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField, TextAreaField, IntegerField, SelectField
from wtforms.validators import ValidationError, DataRequired, Optional, Email, EqualTo, Length
from app.models import User, Course, Hole
# Contains forms that app uses
# ... | null | app/forms.py | forms.py | py | 3,631 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.DataRequired",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
177434040 | """Instantiates the Airbnb application."""
from flask import Flask, render_template, redirect, request
from flask.helpers import url_for
app = Flask(__name__)
@app.route('/', methods=['POST', 'GET'])
async def index():
"""Homepage view."""
if request.method == 'POST':
latitude = request.form['latitu... | null | src/main.py | main.py | py | 984 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
560251224 | import numpy as np
from scipy import io
from random import randint
import h5py
import logging
import pdb
import os
data_directory = "./tripletExps/data/"
cifarTripletData = io.loadmat('cifarTripletData')
allCombsTrain = cifarTripletData['allCombsTrain']
trainsetDataByLabel = cifarTripletData['trainsetDataBy... | null | generateTripletData.py | generateTripletData.py | py | 2,422 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.reshape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_num... |
318360540 | #### this code mixes the background tracks and signal tracks per bunch crossing
#### run: python3 makeEnergyRatioFromTextFile.py <bxNumberWanted>
import os
import sys
import time
import pprint
import math
from ROOT import *
from collections import OrderedDict
import argparse
### global variables
m2mm = 1000
... | null | makeEnergyRatioFromTextFile.py | makeEnergyRatioFromTextFile.py | py | 12,770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.sqrt",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
445334888 | import torch
from torch import nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
from hyper_params import params
class SmallVGG(nn.Module):
def __init__(self, num_classes, in_channel, c1, c2, c3):
super().__init__()
# Initialize our layers. Following the VGG architecture, we use ... | null | models/SmallVGG.py | SmallVGG.py | py | 2,868 | python | en | code | null | code-starcoder2 | 76 | [
{
"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.Conv2d",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
254297447 | import timeit
from random import randint, shuffle
import matplotlib.pyplot as plt
def desenhaGrafico(x, y, xl="Entradas", yl="Saidas", name="out"):
fig = plt.figure(figsize=(10, 8))
ax = fig.add_subplot(111)
ax.plot(x, y, label="Melhor Tempo")
ax.legend(bbox_to_anchor=(1, 1), bbox_transform=p... | null | Radix/radix_sort.py | radix_sort.py | py | 1,169 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.gcf",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplo... |
19016516 | from rest_framework import serializers
from musics import models as musics_models
import os
from django.utils.translation import ugettext_lazy as _
import json
from location import models as location_models
from musics import converter
import logging
log = logging.getLogger(__name__)
VALID_MUSIC_FORMAT = ('wav', 'aif... | null | zonia-backend-master/musics/base/validators.py | validators.py | py | 6,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 15,
"usage_type": "name"
... |
253517774 | #!/bin/env python
# Copyright (c) 2013, 2018 National Technology and Engineering Solutions of Sandia, LLC . Under the terms of Contract
# DE-NA0003525 with National Technology and Engineering Solutions of Sandia, LLC, the U.S. Government
# retains certain rights in this software.
# External dependencies
import PIL.Im... | null | agent/slycat-pbs-agent.py | slycat-pbs-agent.py | py | 17,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "agent.Agent",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "agent.Agent.__init__",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "agent.Agent",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "random.randint... |
639083355 | # coding: utf-8
from django import template
from django.template.defaultfilters import stringfilter
from sepomex.models import Sepomex
register = template.Library()
@register.filter
@stringfilter
def municipio(value):
return_value = ''
if value != '':
edo, asenta = value.split('-')
m = Sepomex... | null | demasys/sepomex/templatetags/sepomex_filters.py | sepomex_filters.py | py | 898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sepomex.models.Sepomex.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
479977684 | from modules.base_load import BaseLoad
import modules.util as mu
import my_config as mc
import pandas as pd
import os
import numpy as np
import pickle
import json
import sys
import shutil
import category_encoders as ce
from sklearn.model_selection import train_test_split
from imblearn.over_sampling import RandomOverS... | null | modules/base_sk_proc.py | base_sk_proc.py | py | 24,623 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "my_config.return_base_path",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "modules.util.create_folder",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "modules.util",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "mo... |
84527046 | import sys
from PyQt5.QtWidgets import QApplication,QMainWindow,QAction,QLabel,QPushButton,QHBoxLayout,QVBoxLayout,QWidget,QGridLayout,QLineEdit,QMessageBox
from PyQt5.QtCore import Qt
from login_jukuan import JoinQuantClient
from trade_day import T_date
from buy_sell import shipanyiData
import datetime,time
import eas... | null | pyqt5_work/shiopane_work/GUI_/tonghuashun.py | tonghuashun.py | py | 7,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "trade_day.T_date",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "login_jukuan.JoinQuantClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "d... |
140232403 | from django.shortcuts import render
from django.views import View
# Create your views here.
from django.http import HttpResponse
def hello(request):
return HttpResponse("hello fucking world!")
def base(request, username):
return render(request, "base.html", {"username": username})
def main(request):
fo... | null | RIP/mysite/myapp/views.py | views.py | py | 3,663 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name"... |
80189767 | #%%
import os
try:
os.chdir(os.path.join(os.getcwd(), "Kaggle/credit card"))
print(os.getcwd())
except:
pass
#%%
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
from sklearn.model_selection import train_test_split
from s... | null | Kaggle/credit card/credit_card.py | credit_card.py | py | 4,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 4,
... |
300233547 | import carla
import erdos
import math
from pylot.simulation.utils import get_vehicle_handle, get_world
class CarlaCollisionLoggerOperator(erdos.Operator):
def __init__(self, vehicle_id_stream, can_bus_stream, flags):
can_bus_stream.add_callback(self.on_can_bus_update)
self._vehicle_id_stream = ve... | null | pylot/loggers/carla_collision_logger_operator.py | carla_collision_logger_operator.py | py | 2,142 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "erdos.Operator",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "erdos.utils.setup_csv_logging",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "erdos.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "mat... |
441262714 | #!/bin/env python
#
# Copyright (c) 2015, BlueData Software, Inc.
#
# The main cloudera deployment script
import socket, sys, time, os
import logging, traceback
from subprocess import Popen, PIPE, STDOUT
from cm_api.api_client import ApiResource, ApiException
from cm_api.endpoints.services import ApiService
from cm_a... | null | CSFB/cdh5161-cm-setup/deploy_sqoop_client.py | deploy_sqoop_client.py | py | 4,636 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.stdout... |
65991575 | # coding:utf-8
# Created by yang
import uuid
import datetime
import tornado.ioloop
import tornado.options
import tornado.web
import os.path
import tornado.websocket
import logging
from tornado.options import define, options
define("port", default=8883, help="run on the given port", type=int)
class Application(tornad... | null | chatdemo.py | chatdemo.py | py | 2,576 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.options.define",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.web",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path... |
480764702 | #! /usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
import datetime
from matplotlib import colors
from matplotlib.colors import LogNorm
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.cm as cm
import matplotlib as mpl
import sys
import os
import matplotlib.gridspec as gridspe... | null | scripts/f01-rivnum_glob.py | f01-rivnum_glob.py | py | 3,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.makedirs",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "re.split",
"line_numb... |
19443023 | import numpy as np
from sklearn.datasets import load_breast_cancer
from sklearn.linear_model import LogisticRegression as LR
from sklearn.metrics import accuracy_score
from sklearn.model_selection import StratifiedKFold
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
from logistic_regr... | null | test_binary.py | test_binary.py | py | 1,653 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
248268615 | import praw
import sqlite3
from time import sleep
import tearbotuser
USERNAME = tearbotuser.username
PASSWORD = tearbotuser.password
USERAGENT = '/r/No_Cry_Challenge stat-collecting agent Version 1 by /u/Triplanetary and /u/po_toter. \
Powered by love... and tears.'
r = praw.Reddit(USERAGENT)
r.login(USE... | null | tearbot.py | tearbot.py | py | 2,876 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tearbotuser.username",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tearbotuser.password",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "praw.Reddit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3... |
113806875 | import copy
import logging
from collections import OrderedDict
from copy import deepcopy
from io import BytesIO
import struct
from typing import Dict
from soulstruct.core import SoulstructError
from soulstruct.params import enums
from soulstruct.params.fields import GAME_PARAM_INFO
from soulstruct.params.paramdef impo... | null | soulstruct/params/core.py | core.py | py | 19,659 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "soulstruct.params.paramdef.ParamDefBND",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "soulstruct.params.paramdef.ParamDefBND",
"line_number": 32,
"usage_type": "call"... |
592395679 | import sys
sys.path.append('/home/jovyan/work')
from nw_func import *
from gen import *
from news import clients_kw
import argparse
from sqlalchemy import create_engine
engine = create_engine('postgresql://{}:{}@{}:5439/zgda'.format(cred.aws['user'],cred.aws['password'],cred.aws['server']))
conn = engine.connect()
par... | null | nw/engagement.py | engagement.py | py | 9,285 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.Argument... |
619918202 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from pickle import dump, load
sentiments = open("Sentiments.txt", 'r')
data = load(sentiments)
#Creates lists with the correct sentiment data
positive_sentiments = []
negative_sentiments = []
x = np.linspace(0, 31, len(data))
for... | null | web_scraper/sentiment_grapher.py | sentiment_grapher.py | py | 733 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
562716400 | # By Shatha Jaradat
# KTH - Royal Institute of Technology
# 2018
# Some parts of the code that are related to finetunning models was taken from the following link:
# Then customised according to my needs
#https://gist.github.com/panovr/2977d9f26866b05583b0c40d88a315bf
import torch
import torch.nn as nn
import torch.... | null | Models/DynamicConnections/MultiClass_DynamicPruning.py | MultiClass_DynamicPruning.py | py | 15,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "torch.FloatTensor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Models.Constants_Inst... |
197750536 | import csv
import cv2
import os
import time
import sys
from PySide2.QtCore import *
from PySide2.QtGui import *
from datetime import datetime
threshold = 67 # percentage
"""
Responsible for interfacing with web cam and the logic envolving the camera
The class is a QThead that runs in the background and emit... | null | camera.py | camera.py | py | 7,890 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRA... |
501639592 | # -*- coding: utf-8 -*-
# Copyright European Organization for Nuclear Research (CERN) since 2012
#
# 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-... | null | lib/rucio/common/schema/lsst.py | lsst.py | py | 15,909 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jsonschema.validate",
"line_number": 421,
"usage_type": "call"
},
{
"api_name": "jsonschema.ValidationError",
"line_number": 422,
"usage_type": "name"
},
{
"api_name": "rucio.common.exception.InvalidObject",
"line_number": 423,
"usage_type": "call"
}
] |
596639555 | import pygame as pg
import sys
import ConnectFour as c4
SIZE = width, height = 640, 480
SCREEN = pg.display.set_mode(SIZE)
BLUE = (0, 0, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
YELLOW = (255, 255, 0)
brd = None
def updateBoard(brd):
for x in range(0, 6):
for y in range(0, 7):
pg.draw.rect(... | null | ConnectFourGUI.py | ConnectFourGUI.py | py | 1,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.dra... |
127048416 | import logging
from django.core.exceptions import ObjectDoesNotExist, EmptyResultSet
from django.core.mail import send_mail
from django.utils import timezone
from telebot import types
from bot import bot
from bot.controllers.user import can_subscribe
from bot.models import StaticMessage, LEARNING_DESC, User, Pricing,... | null | bot/controllers/bot.py | bot.py | py | 23,992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bot.utils.pagination.stat_pagination",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bot.utils.pagination.order_pagination",
"line_number": 37,
"usage_type": "call"
... |
273090322 | """
Implement Flatten Arrays.
Given an array that may contain nested arrays,
produce a single resultant array.
"""
from collections import Iterable
def flatten_returns_list(input_array, output_array=None):
if output_array is None:
output_array = []
for element in input_array:
if isinstance(ele... | null | Backup/data-structures-algorithms/arrays/flatten.py | flatten.py | py | 809 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Iterable",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "collections.Iterable",
"line_number": 26,
"usage_type": "argument"
}
] |
630771377 | #!/usr/bin/python3.5
import os
import cv2
import numpy as np
import pickle
import glob
from copy import deepcopy
import math
from time import time
cvnn = True
if cvnn:
from keras.models import load_model
dstPers = np.float32([[500, 720], [780, 720], [780, 50], [500, 50]])
CALCAM_FILENAME = "cam_cal.pkl"
M = Minv =... | null | procVideoCNN.py | procVideoCNN.py | py | 25,857 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.float32",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_n... |
572201166 | from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras.optimizers import Adagrad
from sklearn.model_selection import KFold
import keras.backend as K
import numpy as np
import argparse, os, time
def f1score(y_true, y_pred):
y_pred_pos = K.round(K.clip(y_pred, 0, 1))
y_pre... | null | codes/holdout/DFN3-relu-lr001.py | DFN3-relu-lr001.py | py | 4,158 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.backend.round",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "keras.backend.clip",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.backend.ro... |
640332918 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import data
from bs4 import BeautifulSoup
if __name__ == "__main__":
with open('../OtherDatas/LandSection-20140502.xml', encoding="utf-8") as f:
dataxml = f.read()
soup = BeautifulSoup(dataxml, "html.parser")
print('file loaded')
with data.storage() as... | null | LandName/load.py | load.py | py | 1,182 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.storage",
"line_number": 12,
"usage_type": "call"
}
] |
354566748 | import os
import logging
import pickle
import datetime
from array import array
from struct import pack
from sklearn.neural_network import MLPClassifier
from utils import extract_feature
# Setup Logging
formatter = logging.Formatter("\n\n%(asctime)s\n%(message)s")
def setup_logger(name, log_file, level=logging.INFO):
... | null | external_programs/classify.py | classify.py | py | 2,675 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Formatter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.getLo... |
346279695 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os
import seaborn as sns
color=sns.color_palette()
sns.set_style('darkgrid')
import pandas as pd
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
import numpy as np
import warnings
def ignore_warn(*args, **kwargs):
pass
w... | null | Final Exam Lab-Principles-of-Machine-Learning-Python Edition (CLASSIFICATION).py | Final Exam Lab-Principles-of-Machine-Learning-Python Edition (CLASSIFICATION).py | py | 10,771 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "seaborn.color_palette",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.read... |
519286068 | #!/usr/bin/python
# coding=utf-8
"""
Copyright 2012 Telefonica Investigación y Desarrollo, S.A.U
This file is part of Billing_PoC.
Billing_PoC is free software: you can redistribute it and/or modify it under the terms
of the GNU Affero General Public License as published by the Free Software Foundation, either
ve... | null | invoicer/pdf/invoice.py | invoice.py | py | 2,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "xhtml2pdf.pisa.showLogging",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "xhtml2pd... |
600155030 | import urllib.request
from numpy.core.fromnumeric import searchsorted
import pandas as pd
from datetime import datetime,timedelta
import requests
import xmltodict
import openpyxl
url_base = 'http://openapi.data.go.kr/openapi/service/rest/Covid19/getCovid19SidoInfStateJson?serviceKey='
url_serviceKey = 'XK5R2J%2B6nCIWN... | null | xml_corona_practice.py | xml_corona_practice.py | py | 4,340 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "xmltodict.pars... |
334251326 | from PIL import Image
from PIL import ImageFilter
im = Image.open('Preston.jpg')
im.show()
print(im.format, im.size, im.mode)
# thumbnail
size = (128, 128)
im.thumbnail(size)
im.show()
im.save('Preston thumbnail.jpg', 'JPEG')
# rotating
rotated = im.rotate(45)
rotated.save('Preston rotated.jpg', 'JPEG')
rotated... | null | Class9/hwexample.py | hwexample.py | py | 686 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PIL.Image.FLIP_TOP_BOTTOM",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
... |
34126680 | import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import time
import pickle
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score
import dataframe_image as dfi
def table(val, model = 0):
pkl_filename = "Decision_Tree.pkl"
... | null | ML-IDS/output.py | output.py | py | 1,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "dataframe_image.export",
... |
33327642 | #!/usr/bin/env python
#
# Copyright 2007 Google 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 o... | null | dashboard/main.py | main.py | py | 3,355 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.api.memcache.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "google.appengine.api.memcache",
"line_number": 34,
"usage_type": "name"
}... |
343467410 | #%%
import requests
import json
block = 7
address = '5GrwvaEF5zXb26Fz9rcQpDWS57CtERHpNehXCPcNoHGKutQY'
sidecar_url = 'http://127.0.0.1:8080/'
def get_latest_block(sidecar: str):
block_data = {}
url = sidecar + 'block/'
response = requests.get(url)
if response.ok:
block_data = json.loads(response.text)
return ... | null | reconcile2.py | reconcile2.py | py | 3,370 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
634193387 |
"""
========================================================================================================================
======================= Classification applications on the handwritten digits data =====================================
=======================================================================... | null | Week6/COMP450_WEEK-6_TASK-3.py | COMP450_WEEK-6_TASK-3.py | py | 6,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "skle... |
375498849 |
import sys
from apgl.util.Util import Util
from apgl.util.Sampling import Sampling
from exp.sandbox.recommendation.SoftImpute import SoftImpute
import numpy
import unittest
import logging
import scipy.sparse
import numpy.linalg
import numpy.testing as nptst
class SoftImputeTest(unittest.TestCase):
def setUp(... | null | exp/sandbox/recommendation/test/SoftImputeTest.py | SoftImputeTest.py | py | 2,345 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.IN... |
80226293 | import pymysql
import cv2
import numpy as np
import paramiko
from datetime import datetime
from imutils.perspective import four_point_transform
from scipy.stats import gaussian_kde
import imutils
class connect():
def __init__(self, ip, port, username, password, database):
self.ip = ip
self.port = p... | null | germination/yyGermination.py | yyGermination.py | py | 14,776 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.imencode",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line... |
171790376 | import requests
#token requested through developer.webex website - 12 hours
#create room
access_token = '*****'
url = 'https://webexapis.com/v1/rooms'
headers = {
'Authorization': 'Bearer {}'.format(access_token),
'Content-Type': 'application/json'
}
params={'title': 'netacad_devasc_skills_JB'}
res = requests... | null | 6_webex/netacad_webex_.py | netacad_webex_.py | py | 1,467 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
278067237 | from flask import Flask, render_template, request, session, redirect, url_for, current_app
from . import front_bp
from ..models import News, Product, Case, Solution, Category, NewsClass
app = Flask(__name__)
@front_bp.route('/', methods=['GET', 'POST'])
def index():
# solution_list = []
# filters = [Solution... | null | app/front/views.py | views.py | py | 6,343 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "models.Product.status",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "models.Product.q... |
22876578 | from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from django.shortcuts import render, redirect, render_to_response
from wish_list.forms import EmailUserCreationForm, CategoryForm, LocationForm, CategoryPhotoForm
from wish_list.models import Member, Category, Locatio... | null | wish_list/views.py | views.py | py | 3,258 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wish_list.models.Member.objects.get",
"line_number": 16,
"usage_type": "call"
},
{
... |
413292571 | #!/usr/bin/env python3
"""Takes in a combined 2d and 3d hotspot file (grch37) and updates the transcript ids to their respective grch38 ids.
It does so by following a 2 step process:
1. Parse the file ../../data/grch38_ensembl95/export/ensembl_biomart_canonical_transcripts_per_hgnc.txt
to get a map of hugo symbol X... | null | scripts/hotspots/update_hotspots_to_grch38.py | update_hotspots_to_grch38.py | py | 9,647 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.Session",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.adapters.Retry",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.adapters.HTTPAdapter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name":... |
563450224 | import zipfile
import shutil
import tempfile
import requests
from os import path
#--- Globals ----------------------------------------------
VENDORS = [
# Analytics
"wakatime/vim-wakatime",
# Syntax
"vim-ruby/vim-ruby",
"kchmck/vim-coffee-script",
"cakebaker/scss-syntax.vim",
"tpope/vim-... | null | update_vendors.py | update_vendors.py | py | 2,392 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
613118205 | #!/usr/bin/env python3
##
# Objective: Helper class for EBS, ENI, and ASG managers
import botocore
import pprint
from awsretry import AWSRetry
pp = pprint.PrettyPrinter(indent=4)
class CasEC2Manager:
_session = None
_client = None
_resource = None
_pp = None
def __init__(self, session, client,... | null | core-components/packer/cassandra/scripts/cas_ec2_mgr.py | cas_ec2_mgr.py | py | 4,513 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "aw... |
273938214 | import wx
app = wx.App() # 构建应用对象
win = wx.Frame( # 构建窗体对象
None,
title="simple editor",
size=(410, 335))
bkg = wx.Panel(win) # 构建窗体面板对象
# 定义“open”按钮的单击事件响应函数
def openFile(evt):
dlg = wx.FileDialog(
win,
"Open",
"",
"",
"All files... | null | wxPython/testwx2.py | testwx2.py | py | 2,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wx.App",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "wx.FileDialog",
"line_number": 12,
"usa... |
110961008 | from itertools import product
def compute():
peter = [0.0] * 37
colin = [0.0] * 37
for a, b, c, d, e, f, g, h, i in product(range(1,5), repeat = 9):
peter[a + b + c + d + e + f + g + h + i] += 4 ** (-9)
for a, b, c, d, e, f in product(range(1,7), repeat = 6):
colin[a + b + c + d + e + ... | null | Python/205.py | 205.py | py | 472 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.product",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 9,
"usage_type": "call"
}
] |
247124758 | # coding=utf-8
# Copyright 2015 Foursquare Labs Inc. All Rights Reserved.
from __future__ import (
absolute_import,
division,
generators,
nested_scopes,
print_function,
unicode_literals,
with_statement,
)
from collections import defaultdict
from itertools import chain
import os
import re
from pants.bac... | null | src/python/fsqio/pants/spindle/tasks/spindle_gen.py | spindle_gen.py | py | 9,907 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pants.backend.jvm.tasks.nailgun_task.NailgunTask",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "fsqio.pants.spindle.tasks.spindle_task.SpindleTask",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pants.option.custom_types.target_option",
... |
618317183 | import sqlite3
import os
import logging
from configmodule import config
from helper.singleton import Singleton
class Database(object):
__metaclass__ = Singleton
def __init__(self):
self.log = logging.getLogger('drw.' + self.__module__ + '.' + self.__class__.__name__)
self.db_filename = c... | null | src/helper/Database.py | Database.py | py | 2,084 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "helper.singleton.Singleton",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "configmodule.config.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "c... |
145059450 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from second.models import Post, Comment
from .forms import PostForm, CommentForm
def list(request):
context = {
'items' : Post.objects.all()
}
return render(request, 'second/list.html', context)
def create(request):
if requ... | null | second/views.py | views.py | py | 1,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "second.models.Post.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "second.models.Post.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "second.models.Post",
"line_number": 9,
"usage_type": "name"
},
{
"ap... |
259153658 | import logging
import os
import unittest
from app import app as sviewer
import app as ourapp
from config import basedir
from testcontent import factories
dbpath = os.path.join(basedir, 'testcontent', 'db', 'test.db') # pragma: no cover
if not os.path.exists(os.path.dirname(dbpath)): # pragma: no cover
os.makedir... | null | testcontent/parse_test.py | parse_test.py | py | 2,551 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.basedir",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_... |
94579745 | import torch
import torch.nn as nn
from gcmc import GCMCLayer
from decoder import BilinearDecoder
from utils import activation_map
class GCMC(nn.Module):
def __init__(self,
n_layers,
edge_types,
user_feats_dim,
item_feats_dim,
hidde... | null | model.py | model.py | py | 3,536 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
287882760 | import requests
from bs4 import BeautifulSoup
from urllib.parse import urlparse
import sys
from getpass import getpass
def login(id, pw):
url = 'https://los.rubiya.kr/?login'
data = {'id': id, 'pw': pw}
res = requests.post(url, data=data)
if res.status_code != 200:
print('Please check server ... | null | main.py | main.py | py | 6,348 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line... |
256795333 | import os
import zmq
import yaml
name = 'zmq_document_forwarder'
filenames = [
os.path.join('/etc', name + '.yml'),
os.path.join(os.path.expanduser('~'), '.config', name, 'connection.yml'),
]
config = {}
for filename in filenames:
if os.path.isfile(filename):
print('found config file at', fil... | null | examples/forwarder_device.py | forwarder_device.py | py | 1,179 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
... |
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