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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
442510581 | import pytest
from openshift_checks.memory_availability import MemoryAvailability
@pytest.mark.parametrize('group_names,is_active', [
(['oo_masters_to_config'], True),
(['oo_nodes_to_config'], True),
(['oo_etcd_to_config'], True),
(['oo_masters_to_config', 'oo_nodes_to_config'], True),
(['oo_mast... | null | openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/openshift_health_checker/test/memory_availability_test.py | memory_availability_test.py | py | 3,297 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "openshift_checks.memory_availability.MemoryAvailability",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
... |
194769893 | import json
import re
import numpy as np
from boolean_search import build_inverted_index, dis_boolean_search_ordered, rank_places
from google_place_detail import GooglePlaces
import time
from nltk.stem import PorterStemmer
from flickr import FlickrPhotos
import difflib
from nltk.sentiment.vader import SentimentIntensit... | null | connect_api/api_combined.py | api_combined.py | py | 6,090 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nltk.data.path.append",
... |
535641722 | ''' Template tags for the disease app. '''
from django import template
from elastic.elastic_settings import ElasticSettings
from elastic.search import ElasticQuery, Search
from elastic.query import Query, BoolQuery
from elastic.result import Document
from disease.utils import Disease
register = template.Library()
@r... | null | pydgin/local_apps/disease/templatetags/disease_tags.py | disease_tags.py | py | 1,389 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.Library",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "disease.utils.Disease.get_site_diseases",
"line_number": 23,
"usage_type": "call"
},
{
"api... |
80200309 | import os
import os.path as op
from nipype.interfaces.fsl.Info import standard_image
import nibabel as nib
import numpy as np
from sklearn.cluster import AgglomerativeClustering
def clustering_workflow(fnames, nclust, method):
mni_img = nib.load(standard_image('MNI152_T1_2mm_brain_mask.nii.gz'))
mni_img_data ... | null | clustering.py | clustering.py | py | 938 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nibabel.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nipype.interfaces.fsl.Info.standard_image",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nibabel.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "n... |
218791833 | import keyboard
texto_1='Oi, tudo bem? Este texto foi escrito automaticamente' #Define o texto
atalho_1 = 'F9' #Define o atalho. Neste exemplo, é F7 do teclado.
print('Hotkey:', atalho_1, 'de:', texto_1)
texto_2='sudo su -' #Define o texto
atalho_2 = 'F10' #Define o atalho.
print('Hotkey:', atalho_2, 'de:', texto_2)... | null | hotkey.py | hotkey.py | py | 900 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keyboard.write",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keyboard.add_hotkey",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keyboard.write",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keyboard.add_hotkey... |
392173817 | import csv
import sqlite3
from boltons.dictutils import OrderedMultiDict
from collections import Counter
"""
Hace
SQLite3 Exercise:
Use the sqlite3 module to create a new database nutritional_status. The database should have two tables: students and bmi.
The students table should have the following attributes: stude... | null | D13/sqlite3/hace.py | hace.py | py | 4,366 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "csv.DictReader",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "boltons.... |
106444959 | #!/usr/bin/env python
# coding:utf-8
from logging.handlers import TimedRotatingFileHandler
import time
TIMEZONE_MODIFY = 60 * 60 * 8
class NatureTimedRotatingFileHandler(TimedRotatingFileHandler, object):
def __init__(self, filename, when='h', interval=1, backupCount=0, encoding=None, delay=False, utc=False):
... | null | myloghandlers.py | myloghandlers.py | py | 1,454 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.handlers.TimedRotatingFileHandler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 18,
"usage_type": "call"
}
] |
57912393 | import psutil
from model import Data, db
import threading
import time
class RegisterTimer(threading.Thread):
def __init__(self, seconds):
threading.Thread.__init__(self)
self.event = threading.Event()
self.seconds = seconds
psutil.cpu_percent()
time.sleep(1)
de... | null | A00239620/register_data.py | register_data.py | py | 1,041 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "th... |
365070569 | """
Prompt Screen Button Class - Every game option available to player will have a this button
"""
import pygame
from pygame.sprite import Sprite
class PromptScreenButton(Sprite):
def __init__(self, settings, screen, msg, active, pos_x, pos_y):
super().__init__()
#sets initial parameters
... | null | src/prompt_screen_button.py | prompt_screen_button.py | py | 2,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 25,
"usage_type": "attribute"
}
] |
642379338 | # uncompyle6 version 3.7.4
# Python bytecode 2.5 (62131)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-i686/egg/repoze/who/plugins/use_beaker.py
# Compiled at: 2009-12-08 09:36:11
import os
from paste.deploy.converters import asbool
from paste.re... | null | pycfiles/repoze.who_use_beaker-0.3-py2.5/use_beaker.py | use_beaker.py | py | 2,247 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "zope.interface.implements",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "repoze.who.interfaces.IIdentifier",
"line_number": 15,
"usage_type": "argument"
}
] |
499568945 | '''decorators for extended function definitions'''
import numpy as np
from inspect import signature
from functools import wraps
from astropy import units
from astropy.cosmology import default_cosmology
def broadcast_arguments(*broadcast_args):
'''Decorator that broadcasts arguments.
Parameters
-------... | null | skypy/utils/_decorators.py | _decorators.py | py | 4,312 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "inspect.signature",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.broadcast_arrays",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "inspect.sign... |
301141796 | import jax
import jax.numpy as jnp
import tensorflow.keras as tfk
from unittest import TestCase
import elegy
from elegy import utils
class MeanAbsolutePercentageErrorTest(TestCase):
#
def test_basic(self):
y_true = jnp.array([[1.0, 1.0], [0.9, 0.0]])
y_pred = jnp.array([[1.0, 1.0], [1.0, 0.0]... | null | elegy/losses/mean_absolute_percentage_error_test.py | mean_absolute_percentage_error_test.py | py | 3,298 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "jax.numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "jax.numpy.array",
"li... |
313511406 | #!/usr/bin/python
import boto3
import json
import decimal
dynamodb = boto3.resource('dynamodb', region_name='us-west-2')
table = dynamodb.Table('SOME-TABLE-NAME')
class DecimalEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
if o % 1 > 0:
retu... | null | Lambda/dynamodb/dynamopoll.py | dynamopoll.py | py | 1,926 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.JSONEncoder",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
77145943 | # -*- coding: utf-8 -*-
from django.conf.urls import url
from ralph.admin.autocomplete import AutocompleteList
from ralph.admin.sites import ralph_site
urlpatterns = [
url(
r'^(?P<app>\w+)/(?P<model>\w+)/(?P<field>\w+)/autocomplete$',
ralph_site.admin_view(AutocompleteList.as_view()),
name... | null | src/ralph/admin/autocomplete_urls.py | autocomplete_urls.py | py | 350 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ralph.admin.sites.ralph_site.admin_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ralph.admin.sites.ralph_site",
"line_number": 10,
"usage_type": "name"
},
... |
133402782 | __author__ = 'ryan'
import config
import pandas as pd
import os
import copy
import util
from collections import OrderedDict
import textwrap
class Geography:
def __init__(self):
self.geographies = OrderedDict()
self.geography_names = {}
self.timezone_names = {}
self.map_keys = []
... | null | energyPATHWAYS/geography.py | geography.py | py | 5,684 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.OrderedDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.cfg.cur.execute",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "config.cfg",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "textwr... |
474991504 | import os
import json
import sys
from output import output
def readXF():
global school
global neiwaigong
global xinfa
global detail
alldict = {}
with open('../../school.json', 'r', encoding='utf-8') as f:
alldict = json.loads(f.read())
school = dict((v,k) for (k,v) in alldict['s... | null | analytics/script/pie_tank_xf_ratio.py | pie_tank_xf_ratio.py | py | 2,439 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 39,
... |
562009261 | import sys
from lxml import html, etree
import csv
import os
from pprint import pprint
current_dir = os.path.dirname(__file__)
dir_of_sites = os.path.join(current_dir,'../data/program_data')
OUTPUT_DELIMITER = '|'
# Captures head tags: self::h2 or self::h3 or self::h4 ...
head_tags = ' or '.join([f'self::h{i}' for i ... | null | processors/parse_for_openrefine.py | parse_for_openrefine.py | py | 2,034 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8... |
598129364 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import csv
import smtplib
from email.mime.text import MIMEText
from email.Header import Header
def smtpconnect():
s.ehlo()
s.starttls()
s.login("dutt.department.it@gmail.com", "Q4fT1qOO")
def test_conn_open(conn):
try:
status = conn.noop()[0]
e... | null | sendmails.py | sendmails.py | py | 1,628 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "email.mime.text.MIMEText",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "email.Header.Header",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTPException",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name"... |
55422307 | from __future__ import annotations
from functools import cached_property
from typing import Optional, Type
import numpy as np
import numpy.typing as npt
from sympy import Expr
from slimfit.fitresult import FitResult
from slimfit.loss import L2Loss, LogLoss, Loss
from slimfit.minimizers import ScipyMinimizer, Minimiz... | null | slimfit/fit.py | fit.py | py | 2,875 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "slimfit.models.Model",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "slimfit.parameter.Parameter",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "slimfit.parameter.Parameters",
"line_number": 36,
"usage_type": "name"
},
{
"api... |
628188659 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.gaussian_process import GaussianProcessRegressor
a = np.random.random(50).reshape(50, 1)
b = a * 2 + np.random.random(50).reshape(50, 1)
plt.scatter(a, b, marker='o', color='r', label='3', s=15)
plt.show()
gaussian = GaussianProcessRegressor()
fiting = ga... | null | GossRegssion.py | GossRegssion.py | py | 507 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.random",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
2362482 | #!/usr/bin/env python
import os
import sys
import csv
import errno
import signal
import logging
import argparse
import tempfile
import warnings
from itertools import starmap
from collections import OrderedDict
import json
# Don't warn about duplicate python bindings for opengm
# (We import opengm twice, as 'opengm' 'o... | null | skeleton_synapses/locate_synapses.py | locate_synapses.py | py | 26,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging... |
63326793 | """
Tests for the AWS CLI.
This mostly provides error case coverage.
We rely mostly on manual testing.
This is because automated tests for this would be very slow.
For developing help texts, it is useful to add a breakpoint on failure and then
to capture what the help text actually is with:
.. code: python
... | null | tests/test_cli/test_dcos_aws/test_cli.py | test_cli.py | py | 18,983 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "click.testing.CliRunner",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cli.dcos_aws",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "typing.List",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "click.testing.Cl... |
572717726 | #!/usr/bin/env python
# Copyright (c) 2011-2021, wradlib developers.
# Distributed under the MIT License. See LICENSE.txt for more info.
"""wradlib - An Open Source Library for Weather Radar Data Processing
wradlib is designed to assist you in the most important steps of
processing weather radar data. These may inclu... | null | setup.py | setup.py | py | 6,690 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.check_output",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 63,
"usage_type": "call"
},
{
"api_name"... |
348948575 | from django.conf.urls import url
from freelancer import views
app_name="freelancer"
urlpatterns = [
#^ for starting matching and $ for matching at end
url(r'^home$',views.freelancerhome),
url(r'^completeprofile$',views.completesignup),
] | null | freelancer/urls.py | urls.py | py | 255 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "freelancer.views.freelancerhome",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "freelancer.views",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
631632395 | import csv
from training import constants
import numpy as np
import cv2
from keras.models import Model, Sequential
from keras.layers import Dense, Flatten, Conv2D, Lambda, Cropping2D, MaxPool2D, Dropout
from keras.callbacks import EarlyStopping
def read_training_data(file, mirror_input=True, multicam=True):
imag... | null | model.py | model.py | py | 3,552 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "training.constants.IMAGE_CENTER",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "training.c... |
551943415 | from django.core.management.base import BaseCommand, CommandError
from news.models import Article, Feed
import newspaper
import datetime
import feedparser
class Command(BaseCommand):
help = 'Closes the specified poll for voting'
# def add_arguments(self, parser):
# parser.add_argument('poll_id', nar... | null | news/management/commands/check_feeds.py | check_feeds.py | py | 2,699 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "news.models.Feed.objects.all",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "news.models.Feed.objects",
"line_number": 26,
"usage_type": "attribut... |
11125491 | import logging
from tests import functions
header_val = {'content-type': 'application/json'}
name = input()
position = input()
if isinstance(name, str):
if isinstance(position, str):
if isinstance(header_val, dict):
last_cand_before_post = functions.find_last()
code = (functions.r... | null | REST_testing/tests/test_post_positive.py | test_post_positive.py | py | 868 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tests.functions.find_last",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tests.functions",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tests.functions.response_code",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
350696867 | from flask import Flask, render_template, request, redirect, url_for
from flask_sqlalchemy import SQLAlchemy
import secrets
import json
import requests
app = Flask(__name__)
app.secret_key = secrets.token_urlsafe(25)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///myDatabase.db'
app.config['SQLALCHEMY_TRACK_MODIFI... | null | main.py | main.py | py | 1,997 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "secrets.token_urlsafe",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.ren... |
263413361 | import pytest
from project.datastore.product import Product
from project.datastore import storage
import json
import project.application_factory as app_fact
'''
*---------------------------------------------------------------------------------------*
| General Fixture function called during each tests function (depend... | null | tests/test_endpoints.py | test_endpoints.py | py | 2,478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "project.application_factory.create_app",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "project.application_factory",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "call"
},
{
... |
279275958 | from django.urls import include, path
from rest_framework.routers import SimpleRouter
from so.views import BoecProgress
from user import views
app_name = "user"
router = SimpleRouter()
urlpatterns = [
path("me/", views.ManageUserView.as_view(), name="me"),
path("activity/", views.ActivityView.as_view({"get":... | null | app/user/urls.py | urls.py | py | 702 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.routers.SimpleRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "user.views.ManageUserView.as_view",
"line_number": 11,
"usage_type": "call"
},
{
... |
57022858 | #GPIO Pins -I2C
#imports
import time
import Adafruit_LSM303
import Adafruit_GPIO.SPI as SPI
import Adafruit_SSD1306
from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
#setting up OLED
RST = 24
DC = 23
SPI_PORT = 0
SPI_DEVICE = 0
disp = Adafruit_SSD1306.SSD1306_128_64(rst=RST, i2c_address=0x3D... | null | Python/GPIO_I2C.py | GPIO_I2C.py | py | 1,827 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Adafruit_SSD1306.SSD1306_128_64",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw... |
416967661 | from math import sin, cos, ceil
from math import radians as rad
import pygame
import pymunk
# CLASS AND FUNCTION IMPORTS
from bullet import Bullet
from text import text
class Tank:
"""Class for creating a Tank
Arguments:
pos {tuple} -- Starting position of the Tank.
team {str} -- Team name o... | null | scripts/tank.py | tank.py | py | 3,367 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymunk.Body",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pymunk.moment_for_poly",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pymunk.Poly",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_n... |
325854893 | import pygame
def vertical_gradient(size, startcolor, endcolor):
"""
Draws a vertical linear gradient filling the entire surface. Returns a
surface filled with the gradient (numeric is only 2-3 times faster).
"""
height = size[1]
bigSurf = pygame.Surface((1, height)).convert_alpha()
dd = 1... | null | src/utils.py | utils.py | py | 791 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.Surface",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.transform.scale",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 25,
"usage_type": "attribute"
}
] |
86604388 | """
例子描述：
学校通过两门课的成绩来判断你是否能进入他们学校读书。
"""
import numpy as np
import pandas
from matplotlib import pyplot as plt
import time
def sigmoid(X, theta):
"""
假设函数
:param X: 样本
:param theta: 权重
:return:
"""
z = np.dot(X, theta)
return 1 / (1 + np.exp(-z))
def cost(X, y, theta):
"""
代价函数... | null | logistic_regression/simple_dmo/admitted_prediction.py | admitted_prediction.py | py | 3,205 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.dot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 32,
... |
51835902 | import unittest
import warnings
import pynisher
from mosaic.mosaic import Search
from mosaic_ml.model_config.data_preprocessing.decomposition import *
from sklearn import datasets, decomposition, linear_model
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
digits = datasets.... | null | test/test_decomposition.py | test_decomposition.py | py | 10,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 14,
"usage_type": "call"
},
{... |
443104329 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import os
import csv
import getopt
import sys
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Generate config.yml file with gestalt scores')
parser.add_argument('-i', '--input', help='path to phenotype_to_gene... | null | helper/get_gestalt_yml.py | get_gestalt_yml.py | py | 1,151 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 21,
"usage_type": "call"
}
] |
136013620 | from selenium import webdriver
import plotly.graph_objects as go
import plotly.express as px
import pandas as pd
import numpy as np
class RaspagemCorona():
def __init__(self):
self.driver = webdriver.Chrome()
self.driver.get('https://www.worldometers.info/coronavirus/')
def RasparDados(self, pa... | null | projeto_final/raspagem_corona.py | raspagem_corona.py | py | 3,943 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.nan",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pandas.Da... |
104286867 | from sqlalchemy import Column
from sqlalchemy import String
from sqlalchemy import DateTime
from sqlalchemy.ext.declarative import declarative_base
from django.conf import settings
Base = declarative_base()
class Feedback(Base):
"""A Data Access Object (DAO) for feedback submissions."""
__tablename__ = 'feed... | null | demo/models.py | models.py | py | 972 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.DateTime",
"line_number": 14,
"usage_type": "call"
},
{
"... |
565984661 | from django.conf.urls import patterns, url
from .views import LeadsList, LeadAdd, LeadDetail, LeadEdit, LeadDelete, LeadsListDelete
urlpatterns = patterns(
'',
url(r'^add/$', LeadAdd.as_view(), name='lead-add'),
url(r'^edit/(?P<pk>[0-9]+)/$', LeadEdit.as_view(), name='lead-edit'),
url(r'^delete/(?P<pk... | null | leads/urls.py | urls.py | py | 578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.LeadAdd.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "vie... |
632469244 | import numpy as np
import pickle
import cv2, os
from glob import glob
from keras import optimizers
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import Flatten
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import Max... | null | Indian Sign Language Gesture/cnn_keras.py | cnn_keras.py | py | 3,630 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.common.image_dim_ordering",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.backend.common",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "keras.backend",
"line_number": 16,
"usage_type": "name"
},
{
"a... |
192211286 | from tkinter import *
from PIL import Image
import os
from pickle import load
from numpy import asarray
class Paint(object):
def __init__(self, classifier):
self.classifier = classifier
self.root = Tk()
self.root.title('Digit Estimator')
self.c = Canvas(self.root, bg='white', widt... | null | main.py | main.py | py | 2,766 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.system",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 57,... |
653419229 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.dashboard, name='dashboard'),
url(r'^eating/', views.eating, name='eating'),
url(r'^listeningto/', views.listening, name='listing'),
url(r'^record/', views.record, name='record'),
]
| null | urls.py | urls.py | py | 286 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
157165443 | """Module contains routes, used for problem table."""
import json
import hashlib
import time
import os
import PIL
from flask import request, jsonify, Response
from flask_login import current_user
from PIL import Image
from ecomap import validator
from ecomap.app import app, logger, auto
from ecomap.db import util as... | null | ecomap/www/problem_views.py | problem_views.py | py | 14,300 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ecomap.db.util.get_all_problems",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ecomap.db.util",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "flask.Response",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.du... |
629973659 | import plotly
import plotly.offline as offline
import plotly.graph_objs as go
from igraph import *
class Artist:
def __init__(self):
plotly.tools.set_credentials_file("PeachCobbler", "rk7L2GC5hMeTZWOvpZsg")
# init_notebook_mode(connected=True)
return
def draw_objects(self,... | null | gui/trees/artist.py | artist.py | py | 5,836 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "plotly.tools.set_credentials_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "plotly.tools",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
541204861 | # coding: utf-8
"""
3Di API
3Di simulation API (latest version: 3.0) Framework release: 1.0.16 3Di core release: 2.0.11 deployed on: 07:33AM (UTC) on September 04, 2020 # noqa: E501
The version of the OpenAPI document: 3.0
Contact: info@nelen-schuurmans.nl
Generated by: https://openapi-gen... | null | openapi_client/models/aggregation_settings.py | aggregation_settings.py | py | 11,090 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "openapi_client.configuration.Configuration",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 267,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 291,
"usage_type": "call"
}
] |
606593213 | # Strings A and B are K-similar (for some non-negative integer K)
# if we can swap the positions of two letters in A exactly K times so that the resulting string equals B.
#
# Given two anagrams A and B, return the smallest K for which A and B are K-similar.
#
# Example 1:
#
# Input: A = "ab", B = "ba"
# Output: 1
# Ex... | null | src/main/python/com/py/algo/graph/kSimilarityStrings.py | kSimilarityStrings.py | py | 4,910 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.combinations",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 112,
"usage_type": "call"
}
] |
50563596 | import os
import logging
from flask import Flask, url_for as _url_for
from flask.ext.oauth import OAuth
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.migrate import Migrate
from elasticsearch import Elasticsearch
from celery import Celery
from grano import default_settings
logging.basicConfig(level=logg... | null | grano/core.py | core.py | py | 1,314 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.WARN... |
56008214 | from math import sin
import matplotlib; matplotlib.use("pdf")
import matplotlib.pyplot as plt
def integrateEuler(F,x0,t0,h,N):
''' (function, list, float, float, int) -> (list, list)
uses the Euler method to solve arbritrary orinary differential
equations
'''
x = [t0]
y = [x0]
for i in ran... | null | A5.py | A5.py | py | 1,330 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
106702444 | import tkinter
import pickle
from PIL import Image
from Tools import Flicker
from Tools.Stickman import Part
class Watering(Flicker.Flicker):
def __init__(self):
super().__init__()
self.frame = 0
self.data = {} # pickle.load(open("./data/walkin.dat", "rb"))
for i in self.data:
... | null | StickyCopy/Watering.py | Watering.py | py | 1,473 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Tools.Flicker.Flicker",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Tools.Flicker",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "Tools.Stickman.Part.HEAD",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
391558441 | import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib import gridspec
from mpl_toolkits.axes_grid import inset_locator
import os
import fnmatch
import numpy as np
import scipy.ndimage as ndi
import pandas as pd
import palettable as pbl
import h5py
cmap7 = pbl.colorbrewer.get_map('Set1', 'Qual... | null | waveguide.test/waveguide/simulation_processing.py | simulation_processing.py | py | 9,783 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "palettable.colorbrewer.get_map",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "palettable.colorbrewer",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "palettable.colorbrewer.get_map",
"line_number": 16,
"usage_type": "call"
},
... |
387394685 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/ast2000tools/utils.py
# Compiled at: 2019-11-12 17:41:01
"""Module containing various utility functions."""
from __future__ import d... | null | pycfiles/ast2000tools-1.0.23-py27-none-any/utils.py | utils.py | py | 10,452 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "six.moves.urllib.request.urlopen",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "six.moves.urllib.request",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "six.moves.urllib",
"line_number": 28,
"usage_type": "name"
},
{
"a... |
265173656 | #!/usr/bin/env python
import sqlite3
def open_db():
return sqlite3.connect('/home/krug/projects/strava/db/activity_data.db')
def make_html_header():
s = '<html>'
s += '<header>'
s += '</header>'
s += '<body>'
return s
def start_html_table():
s = '<table>'
return s
def end_html_t... | null | gen_site.py | gen_site.py | py | 1,264 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
}
] |
577148961 | import socket
import threading
import json
import select
import time
import mysql.connector
from random import randint
import sys
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
IP = socket.gethostbyname(socket.gethostname())
print(IP)
sock.bind((IP, 4567))
sock.listen()
FREE_PORTS = [x for x in range(7000... | null | multiplayer_server.py | multiplayer_server.py | py | 22,349 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.geth... |
452212877 | import subprocess
from datetime import datetime
from tqdm import tqdm
from influxdb import InfluxDBClient
import argparse
import os
import numpy as np
import time
import socket
import sys
def get_datetime(s):
from datetime import datetime
try:
return (datetime.strptime(s, "%Y-%m-%dT%H:%M:%S"), "seco... | null | Databases/influx/dstree/generate_udf.py | generate_udf.py | py | 7,112 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
542838598 | # -*- coding: utf-8 -*-
import argparse
import os
import sys
import numpy as np
from chainer import cuda, serializers
import h5py
import pyprind
import utils
import models
def create_image_references(model, corpora, path_image_names, path_vectors):
# Count the number of images
utils.logger.debug("[info] Ag... | null | scripts/main_create_references.py | main_create_references.py | py | 5,851 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.logger.debug",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.logger",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pyprind.prog_bar",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.logger.de... |
558676926 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Mehdi Senoussi
code adapted by tom verguts to extra exercise 1 (the jets and sharks gangs)
"""
import numpy as np
import time
from ch0_course_functions import plot_network, update_network
import matplotlib.pyplot as pl
# we have 4 input unit on the first lay... | null | AY 2018 - 2019/ch3_gang_detector_hebbian_learning_matrix_not.py | ch3_gang_detector_hebbian_learning_matrix_not.py | py | 6,044 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
504462010 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 29 14:45:22 2015
@author: Antoine.Grappin
"""
########################################
########################################
# 1st part: Python and Pandas with Sentiment Analysis Database
# http://pythonprogramming.net/python-and-pandas-for-sentiment-analysis-and-fin... | null | tutorial_finance_investing_with_sentiment.py | tutorial_finance_investing_with_sentiment.py | py | 32,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 1069,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 1076,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64",
"line_number": 1077,
"usage_type": "attribute"
},
{
"api_name": "pandas.ex... |
407735415 | from first.models import *
from django.test import TestCase
from django.test import Client
class SimpleTest(TestCase):
def test_basic(self):
title = '1'
ingredients = '2'
steps = '3'
obj = Recipes.objects.create(title = title ,ingredients = ingredients ,steps = steps )
title... | null | first/tests.py | tests.py | py | 1,229 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 14,
"usage_type": "call"
}
] |
143886186 | """
时间API
"""
from datetime import date
now = date.today()
print(now)
print(type(now))
birthday = date(1964, 7, 31)
age = now - birthday
print(age.days)
yesterday = date(2018, 5, 2)
age = now - yesterday
print(age.days)
| null | tutorial/chapter10_standard_library/10_8_dates_times.py | 10_8_dates_times.py | py | 228 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.date.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"li... |
310889356 | import json
import base64
from cproto import CProto
def do_capture():
cp = CProto()
payload = json.loads(cp.Page.captureScreenshot())
data = base64.b64decode(payload['result']['data'])
with open('output.jpeg', 'wb') as f:
f.write(data)
if __name__ == '__main__':
do_capture()
| null | examples/screenshot.py | screenshot.py | py | 309 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cproto.CProto",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 10,
"usage_type": "call"
}
] |
344394468 | # -*- coding: utf-8 -*-
import scrapy
class scrapysh1kmbab27Spider(scrapy.Spider):
name = "scrapysh1kmbab27"
allowed_domains = ["ganjoor.net"]
if 1 == 1:
start_urls = ["https://ganjoor.net/hojviri/kashfol-mahjoob/kmbab27/sh1"]
else:
start_urls = ["https://ganjoor.net/hojviri/kashfol-mah... | null | crawler/ganjoor/spiders/hojviri/kashfol-mahjoob/scrapysh1kmbab27.py | scrapysh1kmbab27.py | py | 3,976 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 65,
"usage_type": "call"
}
] |
493848275 | from django.conf.urls import patterns, include, url
from django.contrib import admin
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'Hardware.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),__author__ = 'andrzej'
url(r'^$', 'baza.views.lista'),
url(r'^lista/$', 'baza.views.l... | null | baza/urls.py | urls.py | py | 922 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dja... |
165788396 | import openpyxl
import xlrd
wb = openpyxl.load_workbook('Sample.xlsx')
type(wb)
sheet = wb.get_sheet_by_name('Sheet1')
tuple(sheet['A1':'C3'])
for rowOfCellObjects in sheet['A1':'C3']:
for cellObj in rowOfCellObjects:
if cellObj.value == 'Mango':
print('Matches ')
print(cellObj.coord... | null | helo.py | helo.py | py | 467 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 3,
"usage_type": "call"
}
] |
112412008 | from bs4 import BeautifulSoup
from common import cache_request, normalize_state, diff_and_save
from parse_pdf import parse_pdf
EMAIL_LIST_URL = 'https://www.ok.gov/elections/County_Election_Board_Email_Addresses.html'
def parse_email_list():
text = cache_request(EMAIL_LIST_URL)
soup = BeautifulSoup(text, 'html... | null | states/oklahoma/main.py | main.py | py | 934 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "common.cache_request",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "parse_pdf.parse_pdf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "common.nor... |
61618849 | # Imports
from flask import Flask, render_template, \
url_for, request, redirect,\
flash, jsonify, make_response
from flask import session as login_session
from sqlalchemy import create_engine, asc, desc
from sqlalchemy.orm import sessionmaker
from database_setup import *
fro... | null | project.py | project.py | py | 16,336 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessio... |
133415540 | import json
import hashlib
import requests
import time
print(int(time.time()))
key = os.getenv("Problem_finder_key") # fetching from environment variables
secret = os.getenv("Problem_finder_secret") # fetching from environment variables
main="https://codeforces.com/api/problemset.problems?tags=math&apiKey="+key+"&... | null | problemfinder/fetchdata.py | fetchdata.py | py | 630 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "hashlib.sha512",
"line_number": 18,
... |
323236400 | from django.utils import timezone
from . import ActionTest, SetSessionMenuOption
import copy
import mock
import pytz
class DisplayHoursAndCharge(SetSessionMenuOption):
def setUp(self):
super(DisplayHoursAndCharge, self).setUp()
self.data = copy.deepcopy(self.data)
self.data.update({'Seque... | null | core/tests/views/d_1_check_parking_charge/test_2_display_hours_and_charge.py | test_2_display_hours_and_charge.py | py | 2,059 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "copy.deepcopy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.uti... |
636862508 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import gc
import math
import os
import pprint
import re
import time
import unicodedata
import warnings
from shutil import rmtree
import fitz
import ujson as json
from PyPDF2 import PdfFileReader
from PyPDF2.utils import PdfReadError
from pdfminer.pdfdocument import PDFE... | null | libraries_tests.py | libraries_tests.py | py | 23,727 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gc.collect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "unicodedata.normalize",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "unicodedata.ca... |
106044476 | import pytest
import time
import sys
from os.path import dirname, abspath
sys.path.insert(0, dirname(dirname(abspath(__file__))))
from page_obj.scg.scg_def_physical_interface import *
from page_obj.scg.scg_def_vlan_interface import *
from page_obj.scg.scg_def_bridge import *
from page_obj.common.rail import *
... | null | pyautoTest-master（ICF-7.5.0）/test_case/scg/scg_DCHP_Server/test_c139267.py | test_c139267.py | py | 2,082 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"lin... |
106385252 | # Cognitive Services Vision API mini-client
import requests
import time
NumRetries = 4
# taken from https://github.com/Microsoft/Cognitive-Vision-Python/blob/master/Jupyter%20Notebook/Computer%20Vision%20API%20Example.ipynb
def processRequest(url, json, data, headers, params):
"""
Helper function to process ... | null | photo-analysis/cogvision.py | cogvision.py | py | 4,450 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 26,
"usage_type": "call"
}
] |
73461107 | # Copyright 2019 codeo
#
# 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 wri... | null | ytdl_options.py | ytdl_options.py | py | 2,097 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.timedelta",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 51,
"usage_type": "call"
}
] |
579741227 | from django.db import models
from django.contrib import admin
from datetime import datetime
class Program(models.Model):
name = models.CharField(max_length=50)
def __unicode__(self):
return self.name
class Student(models.Model):
first_name = models.CharField(max_length=50)
last_name = models.CharField(max_len... | null | inventory/models.py | models.py | py | 2,839 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
39993229 | import pandas as pd
import pprint, talib
from binance import ThreadedWebsocketManager
from binance.client import Client
from binance.enums import *
from src.config import API_KEY, API_SECRET
import dask.array as da
BBPB_PERIOD = 20
BBPB_OVERBOUGHT = .70
BBPB_OVERSOLD = .30
TRADE_SYMBOL = 'ALGOUSDT'
TRADE_QUANTITY = 25... | null | src/boteu.py | boteu.py | py | 4,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "binance.ThreadedWebsocketManager",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "src.config.API_KEY",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "... |
191356047 | from django.db import models
from django.template.defaultfilters import slugify
class HighCategories(models.TextChoices):
FOOD_DRINK = 'food and drink'
ENTERTAINMENT = 'entertainment'
SHOPPING = 'shopping'
EDUCATION = 'education'
PROFESSIONAL_SERVICES = 'professional services'
OTHER_BUSINESSES ... | null | skeleton/businesses/models.py | models.py | py | 5,903 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.TextChoices",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextChoices",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
11899536 | #! /usr/bin/env python3
""" Database utilities.
"""
import os
import sqlite3
CURRENT_DIR = os.path.dirname(os.path.realpath(__file__))
DATABASE = os.path.join(CURRENT_DIR, 'db.sqlite3')
SCHEMA = os.path.join(CURRENT_DIR, 'schema.sql')
def build_database() -> None:
""" Use SCHEMA to build the database.
"""
... | null | db/utils.py | utils.py | py | 1,007 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
271354974 | # -*- coding: utf-8 -*-
"""
This spider is a TalkWeb spider created on top of the ATSSpider
scrapy crawl talkweb -a mining_job_id=9999 -a iteration=1 -a extract=1 -a url="http://www.talkweb.com.cn/postPublish/pageSearchPostPublish?type=0"
sample job url:
http://www.talkweb.com.cn/postPublish/showPo... | null | brightcorp/brightcorp/spiders/talkweb.py | talkweb.py | py | 3,650 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "brightcorp.base.atsspiders.ATSSpider",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 31,
"usage_type": "call"
},
{
"api_name... |
116909489 | #!/usr/bin/env python3
import rospy, cv2, cv_bridge, math
from sensor_msgs.msg import LaserScan, Image
from geometry_msgs.msg import Point, Pose, Quaternion, Twist, Vector3
from nav_msgs.msg import Odometry
import moveit_commander
from q_learning_project.msg import RobotMoveDBToBlock
from tf.transformations import ... | null | scripts/execute_robot_movement.py | execute_robot_movement.py | py | 7,902 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rospy.init_node",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.Twist",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "geometry_... |
374761828 | # -*- coding: utf-8 -*-
import json, scipy.misc, os
f = open(os.path.join('..', 'data', 'train.json'))
j = json.loads(f.read())
f.close()
labels = dict()
for entry in j['annotations']:
labels[int(entry['imageId'])] = map(int, entry['labelId'])
# Now you can do...
# In [1]: labels[3360]
# Out[1]: [114, 66, 98, 21... | null | tools/indexlabels.py | indexlabels.py | py | 333 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
}
] |
466402188 | # Copyright European Organization for Nuclear Research (CERN)
#
# 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
#
# Authors:
# - Martin Barisits, <mar... | null | lib/rucio/daemons/abacus/rse.py | rse.py | py | 3,337 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Event",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "rucio.common.conf... |
126280521 | """Exercise 9c"""
import time
import numpy as np
import matplotlib.pyplot as plt
from plot_results import plot_2d
from run_simulation import run_simulation
from simulation_parameters import SimulationParameters
def exercise_9c(world, timestep, reset):
"""Exercise 9c"""
n_joints = 10
Rhead = 0.44
... | null | Lab9/Webots/controllers/pythonController/exercise_9c.py | exercise_9c.py | py | 3,960 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "simulation_parameters.SimulationParameters",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "run_simulation.run_simulation",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "simulation_parameters.SimulationParameters",
"line_number": 66,
... |
519478489 | from collections import namedtuple, defaultdict
TestCase = namedtuple('TestCase', 'case expected')
def check_case(test_case, actual):
if test_case.expected == actual:
print("OK %s" % (test_case.case,))
else:
print("FAIL %s, expected %s, got %s" % (test_case.case, test_case.expected, actual))
... | null | d24/d24p1.py | d24p1.py | py | 1,806 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 43,
"usage_type": "call"
}
] |
435033188 | import math, pygame, threading, polygon, circle, vector
MAPWIDTH, MAPHEIGHT = 800, 600
class Perspective(threading.Thread):
def setup(self, data, windowWidth, windowHeight, windowSurface): #Perspective reads the main data object
self.data = data
self.IMG_player_idle = pygame.transform.smoothscale(pygame.image.lo... | null | client/perspective.py | perspective.py | py | 3,095 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.smoothscale",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": ... |
200723384 | # Create your views here.
def comparePage(request):
item1, item2 = _selectItems()
# display the compare page
from django.template import RequestContext
from django.shortcuts import render_to_response
return render_to_response('compare_main.html',
{'item1': item1, 'item2': item2},
... | null | Compare/views.py | views.py | py | 6,019 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 34,
"usage_type": ... |
99909326 |
## Copyright (C) 2016 Luca Massarelli
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##... | null | Crea_Grafo_Linee.py | Crea_Grafo_Linee.py | py | 11,686 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "string.split",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "snap.TIntStrH",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "snap.TUNGraph.New",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "snap.TUNGraph",
"lin... |
334274064 | from collections import defaultdict
import random
from docopt import docopt
import sys
class PCFG(object):
def __init__(self):
self._rules = defaultdict(list)
self._sums = defaultdict(float)
def add_rule(self, lhs, rhs, weight):
assert(isinstance(lhs, str))
assert... | null | Assignment2/generate.py | generate.py | py | 2,232 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "docopt.d... |
253421076 | from django import template
from menu.models import MenuNode
register = template.Library()
@register.inclusion_tag('menu/menu.html', takes_context=True)
def draw_menu(context, menu_name):
max_level = context['page'].level + 1
nodes = MenuNode.objects.filter(belongs_to=menu_name).filter(level=0)
return {'... | null | menu/templatetags/draw_menu.py | draw_menu.py | py | 386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "menu.models.MenuNode.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_nam... |
50398689 | from argparse import ArgumentParser
import jsonlines
from flask import Flask, render_template, request, redirect
def read_sentences(input_fpath):
sentences = []
print('Reading tokenized corpus from: ', input_fpath)
with jsonlines.open(input, 'r') as reader:
for sentence in reader:
sen... | null | tagger-webapp/tagger.py | tagger.py | py | 2,054 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jsonlines.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jsonlines.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
170137726 | #-*- coding: utf-8 -*-
from django.http import HttpResponse
from django.shortcuts import render_to_response, get_list_or_404
from capife.models import Persona
from capife.models import Curso
from django.template import RequestContext
from django.contrib.auth.decorators import login_required
def index(request):
pipol... | null | src/capife/views.py | views.py | py | 1,158 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "capife.models.Persona.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "capife.models.Persona.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "capife.models.Persona",
"line_number": 10,
"usage_type": "name"
},... |
17666859 | import logging
import numpy as np
from qcodes.instrument.parameter import Parameter, ManualParameter
from qcodes.instrument.base import Instrument
from qcodes.utils.validators import Enum
from typing import NamedTuple
log = logging.getLogger(__name__)
LOW_NOISE_GAINS = (1e2, 1e3, 1e4, 1e5, 1e6, 1e7)
HIGH_SPEED_GAI... | null | qcodes_contrib_drivers/drivers/FEMTO/FEMTO_OE300_base.py | FEMTO_OE300_base.py | py | 2,188 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.NamedTuple",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "qcodes.instrument.base.Instrument",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": ... |
484902918 | # -*- coding: utf-8 -*-
# 문제 2번의 실행 결과와 소스 코드 제출
# 실행 결과는 콘솔/이미지
import tensorflow as tf
# 입력 데이터의 개수가 2개 이상인 경우의 처리방법
x1_data = [1.,2,3,4,5]
x2_data = [5.,6,7,8,9]
y_data = [35., 55, 77, 89, 100]
X1 = tf.placeholder(tf.float32)
X2 = tf.placeholder(tf.float32)
Y = tf.placeholder(tf.float32)
W1 = tf... | null | day_10/ml_04.py | ml_04.py | py | 1,813 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
382834578 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, ForeignKey, Integer, String, DateTime, Boolean
from sqlalchemy.orm import relationship
from flask_login.mixins import UserMixin
Base = declarative_base()
class Address(Base):
__tablename__ = "addresses"
id = Column(Intege... | null | src/db/models.py | models.py | py | 1,666 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 12,
"usage_type": "argument"
},
{
... |
55019598 | import discord
from discord.ext import commands
from utils.checks import *
import asyncio
import datetime
import random
import traceback
from cogs.classes import genstats
from decimal import Decimal
def in_raid():
def predicate(ctx):
return ctx.author in ctx.bot.raid and ctx.channel.id == 506_133_354_874_... | null | cogs/raid.py | raid.py | py | 16,649 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.check",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.check",
"line_number": 23,
"usage_type": "call"
},
{
"api_na... |
343534339 | import cv2
import numpy as np
import os
from random import shuffle
from tqdm import tqdm
import tflearn
import tensorflow as tf
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.es... | null | training/training1.py | training1.py | py | 3,753 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tqdm.tqdm",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
... |
435206125 | from selenium import webdriver
import urllib.request
import xlwt
import xlrd
import time
from lxml import etree
user="18813295794"
password="18898604973db"
driver=webdriver.Firefox()#获取火狐驱动
driver.maximize_window()#窗口最大化
driver.get('https://movie.douban.com/')#模拟登陆豆瓣首页
time.sleep(2)
def set_style(name, height, bo... | null | lx/yaoshen.py | yaoshen.py | py | 3,287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xlwt.XFStyle",... |
329998992 | import os
import sys
import logging
import base64
from xml.etree import ElementTree
from pathlib import Path
from qt_material.resources import ResourseGenerator, RESOURCES_PATH
GUI = True
if 'PySide2' in sys.modules:
from PySide2.QtGui import QFontDatabase, QColor, QGuiApplication, QPalette
from PySide2.QtWid... | null | qt_material/__init__.py | __init__.py | py | 14,088 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.modules",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
... |
298741727 | from django.shortcuts import render
from django.shortcuts import render, redirect
from django.contrib.auth import get_user_model
from django.http import HttpResponseRedirect, HttpResponse
from users.models import Tenant, PropertyManager
from django.template import loader
from .models import Ticket
User = get_user_model... | null | BackEnd/LeaseLordWeb/maintenance/views.py | views.py | py | 2,589 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "users.models.Tenant.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "users.models.Tenant.objects",
"line_number": 20,
"usage_type": "attribu... |
124326 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 15 07:35:07 2019
@author: seanm
"""
from pandas import DataFrame, Series
import pandas as pd
import numpy as np
import os
import matplotlib.pylab as plt
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from sklearn.cluster import KMe... | null | Week 4/project 4.py | project 4.py | py | 3,301 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.cdist",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplot... |
330544531 | import StrategyLearner as sl
import marketsimcode as mc
import numpy as np
import datetime as dt
import pandas as pd
import util as ut
# name: Ting Yan
# id: tyan37
def impactEffects(symbol="JPM", sd=dt.datetime(2008, 1, 1), ed=dt.datetime(2008, 3, 1),
sv=100000, impact = 0 ):
imp = impac... | null | strategy_learner/experiment2.py | experiment2.py | py | 1,918 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "StrategyLearner.StrategyLearner",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 30,
"usage_type": "call"
},
{
"a... |
6440650 | import sys
import xml.etree.ElementTree as ET
lsquig = "{" ; rsquig = "}" ; apos = "'" ; cr = "!!"
parameters = dict()
#------------- Process Input Parameters --------------#
# grab the input parameter string and put them in a dictionary
# The input in sys.argv[1] looks like: "shape:rectangle|sides:4|color:green" ... | null | Templates/poco.py | poco.py | py | 1,533 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 20,
"usage_type": "call"
},
{
... |
404294171 |
import pygame
from mark import Mark, Score
import game_functions as gf
class TicTacToe:
"""Tic tac toe game model"""
def __init__(self):
"""Initialize attributes and apply settings"""
pygame.init()
self.apply_settings()
self.screen = pygame.display.set_mode((self.sn_width, self.sn_height))
self.flag... | null | main.py | main.py | py | 2,785 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
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