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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35603325 | #coding:utf-8
import urllib
import urllib.request
import http.cookiejar
import json
import time
import os
import sys
import datetime
import time
import ass_maker
import var_set
import _thread
import random
path = var_set.path #引入设置路径
roomid = var_set.roomid #引入设置房间号
cookie = var_set.cookie #引入设置cookie
... | null | post_dm.py | post_dm.py | py | 30,708 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "var_set.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "var_set.roomid",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "var_set.cookie",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "var_set.dow... |
56850992 | # Python Application Logging
# Buffering logging messages and outputting them conditionally
# There might be situations where you want to log messages in
# a temporary area and only output them if a certain condition
# occurs.
import logging
from logging.handlers import MemoryHandler
import sys
logger = ... | null | Python_Logging_Buffering.py | Python_Logging_Buffering.py | py | 2,277 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.E... |
277094880 | import pyperclip
print ('testing the CAESAR/ROT Cipher')
message=input('Typ het te vercijferen bericht:')
key = 3 #ROTx met x=waarde van key
mode = 'encrypt' #of 'decrypt'
LETTERS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' #De toegelaten letters
translated = '' #bevat eindresultaat
message = message.upper() #zet a..z in hoof... | null | TestCode/Caesar.py | Caesar.py | py | 916 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyperclip.copy",
"line_number": 34,
"usage_type": "call"
}
] |
187774950 | import io
import unittest
from unittest.mock import patch
from prob02.prob02 import main
class End2EndTestCase(unittest.TestCase):
def test_something(self):
self.assertEqual(True, True)
@patch('sys.stdout', new_callable=io.StringIO)
def test_end2end_1(self, captured_output):
raw_input = ... | null | prob02/test_prob02.py | test_prob02.py | py | 1,869 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.patch",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "prob02.prob02.main",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "unittest... |
330760778 | from django.conf.urls import url
from . import views
app_name = 'Accounts'
urlpatterns = [
url(r'^$', views.IndexView.as_view(), name='login'),
url(r'^register/$', views.UserFormView.as_view(), name='register'),
url(r'^loginRequest/$', views.LoginAccess.as_view(), name='request'),
url(r'^loginValid... | null | Accounts/urls.py | urls.py | py | 371 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.c... |
601284204 | import cv2
import numpy as np
from skimage.feature import hog
import argparse
import debug
from debug import dbg
class CarFrame:
def __init__(self, img, vis=False):
self.img = img
self.ppc = 8
self.ws = 64 # windows size
self.hls = cv2.cvtColor(img, cv2.COLOR_BGR2HLS)
hls= ... | null | pkvd/preproc.py | preproc.py | py | 2,556 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HLS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "debug.dbg",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "debug.dbg",
"line_n... |
504171734 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 23 11:09:12 2019
@author: achen
"""
import pandas as pd
import telescope as ts
import telescope_metrics as tm
import strategy_backtest3_loss as sbtest3l
import datetime
import numpy as np
from tqdm import tqdm
#dmb.dir_match_backtest(r"Z:\KaiData\Theo\201... | null | Morning RTY Trend/run_loss_strat3.py | run_loss_strat3.py | py | 3,104 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "telescope.Telescope",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "telescope.sel... |
220283212 | # coding: UTF-8
import requests
from time import sleep
from datetime import datetime
from bs4 import BeautifulSoup
# send_mail(subject, message)
from send_mail import send_mail
### 変数定義 ###
# 監視対象のフォワードテストページ
url = "https://fx-on.com/systemtrade/detail/?id=13778&t=2#c"
open_time = None
close_time = None
value_li... | null | TradeObserver.py | TradeObserver.py | py | 4,145 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "da... |
501228430 | """empty message
Revision ID: 5cd8941ace02
Revises: 16e705703c60
Create Date: 2021-05-11 14:45:09.845296
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '5cd8941ace02'
down_revision = '16e705703c60'
branch_labels = None... | null | backend/migrations/versions/5cd8941ace02_.py | 5cd8941ace02_.py | py | 1,156 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
18577208 | # flake8: noqa: E402
from typing import Optional, List
from datetime import datetime, timedelta
import os
import pytest
import numpy as np
from sqlalchemy.orm import Query
from rq.job import Job
from flexmeasures.data.models.data_sources import DataSource
from flexmeasures.data.models.assets import Asset, Power
from ... | null | flexmeasures/data/tests/test_forecasting_jobs.py | test_forecasting_jobs.py | py | 13,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.timedelta",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flexmeasures.data.models.data_sources.DataSource.query.filter_by",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flexmeasures.data.models.data_sources.DataSource.query",
... |
283131530 | import sqlite3
import json
from ploomber.products import Product
from ploomber.products.serializers import Base64Serializer
from ploomber.templates.Placeholder import SQLRelationPlaceholder
class SQLiteRelation(Product):
"""A SQLite relation
Parameters
----------
identifier: tuple of length 3
... | null | src/ploomber/products/sql.py | sql.py | py | 8,181 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ploomber.products.Product",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ploomber.templates.Placeholder.SQLRelationPlaceholder",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 76,
"usage_type": "call"
},
... |
575967207 | """A10 support."""
import asyncio
from netmiko.cisco_base_connection import CiscoSSHConnection
class A10SSH(CiscoSSHConnection):
"""A10 support."""
async def session_preparation(self):
"""A10 requires to be enable mode to disable paging."""
await asyncio.create_task(self._test_channel_read())... | null | netmiko/a10/a10_ssh.py | a10_ssh.py | py | 785 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "netmiko.cisco_base_connection.CiscoSSHConnection",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "asyncio.create_task",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 20,
"usage_type": "call"
},
{
... |
612038040 | from rest_framework import serializers
from trade_system.items.models import Currency, InventorySlot, Item, Price, WatchList, Inventory
from trade_system.users.serializers import UserSerializers
class CurrencySerializer(serializers.ModelSerializer):
class Meta:
model = Currency
fields = [
... | null | trade_system/items/serializers.py | serializers.py | py | 1,543 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "trade_system.items.models.Currency",
"line_number": 9,
"usage_ty... |
169243923 | """
Retrieve latest email from r2d2_data_wrangler@dkhydrotech.com
mail account. Parse the email attachment, format a report,
send report on set schedule.
Trigger 'notification alarm' report on any flagged condition met.
"""
import numpy as np
import pandas as pd
import math
import re
import os
import sys
import base6... | null | r2d2_kp01/main.py | main.py | py | 14,248 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.settings.configure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "o... |
142192086 | import pytest
import salt.ext.tornado.iostream
import salt.transport.ipc
import salt.utils.asynchronous
def test_ipc_connect_in_async_methods():
"The connect method is in IPCMessageSubscriber's async_methods property"
assert "connect" in salt.transport.ipc.IPCMessageSubscriber.async_methods
def test_ipc_con... | null | tests/pytests/unit/transport/test_ipc.py | test_ipc.py | py | 731 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "salt.ext.tornado.iostream.transport",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "salt.ext.tornado.iostream",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "salt.ext.tornado.iostream.utils.asynchronous.SyncWrapper",
"line_number": 18... |
227336622 |
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from urlparse import urljoin
from urllib import urlretrieve
import csv
ROTOWIRE_DAILY_LINEUPS_URL = "http://www.rotowire.c... | null | mine/draft_kings.py | draft_kings.py | py | 3,134 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 27,
"usage_type": "call"
},
... |
83431737 | import sys, os
from PIL import Image
from skimage import color, transform, exposure
from MiniSnake import game
game_engine = game()
from config import num_of_cols, num_of_rows
for i in range(9999999):
_, test, _ = game_engine.play(0)
if i>200:
gray = color.rgb2gray(test)
resized_gray = transf... | null | screenshotter.py | screenshotter.py | py | 917 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "MiniSnake.game",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "skimage.color.rgb2gray",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "skimage.color",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "skimage.transform.... |
400208389 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from tensorflow import keras
# In[2]:
data= keras.datasets.fashion_mnist
# In[3]:
(train_images, train_labels),(test_images, test_labels) = data.load_data()
class_name... | null | medium/Tensor.py | Tensor.py | py | 1,294 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.keras.datasets",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 38,
"usage_type": "call"
},
{
"api_n... |
291393029 | from django.http import HttpResponseRedirect, HttpResponseBadRequest
from django.shortcuts import render, redirect, get_object_or_404
from django.template import RequestContext
from django_tables2 import RequestConfig
from Books import tables
from Books.forms import *
from json_load import load_all_models_from_json
# C... | null | Books/views.py | views.py | py | 5,187 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json_load.load_all_models_from_json",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
... |
347660767 | from __future__ import print_function
import pathlib
import io
import random
import sys
USAGE = """
Usage: trigrams sourcefile length
where sourcefile points to a text file and length is the length of
the desired output
"""
ENDING_PUNC = ['.', '?', '!', ':', ';', ','] # ellipsis exluded
SENTENCE_END = ['.'... | null | src/trigrams.py | trigrams.py | py | 16,347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 273,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 282,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 287,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number":... |
194350567 | import pandas as pd
import numpy as np
import cv2
from PIL import Image, ImageDraw, ImageFilter, ImageOps
import random
import os
import argparse
import auto_maskmix_util
def make_augmented_image(train_csv, bg_mask_csv, mix_img_csv, save_dir, cls):
bg_mask = pd.read_csv(bg_mask_csv)
mix_img = pd.read_csv(mix_i... | null | src/util/make_augmented_image.py | make_augmented_image.py | py | 5,231 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"l... |
544599877 | import backends, computations, datasets, models, probes, random_numbers, run, samplers, visualizers
import numpy as np
def experiment(a):
a.seed = 1234
a.depth = 100
a.model = 'PCD_500'
a.num_samples = 25
a.num_samples_to_record = 30
a.bias = True
# if large, most time is spent near the s... | null | experiments/unwind_mixture_samples.py | unwind_mixture_samples.py | py | 1,612 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random_numbers.RNG",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datasets.MNISTbinarized",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.ExactRbm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.RBM... |
651968830 | import pandas as pd
import io
import pytest
from csv2df.reader import Row
from csv2df.parser import Table
from csv2df.specification import ParsingCommand, Def
from csv2df.reader import to_rows
from csv2df.parser import extract_tables
import csv2df.emitter as emitter
# stateless functions
class Test_Function_to_floa... | null | src/csv2df/tests/test_emitter.py | test_emitter.py | py | 5,585 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv2df.emitter.to_float",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "csv2df.emitter",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "csv2df.emitter.to_float",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "csv2df... |
561585590 | import os
from flask import Flask, flash, request, redirect, url_for, send_from_directory, render_template
from werkzeug.utils import secure_filename
import datetime
import time
UPLOAD_FOLDER = 'uploads'
ALLOWED_EXTENSIONS = {'txt', 'md'} # Server code to make sure it doesn't happen.
app = Flask(__name__)
... | null | main.py | main.py | py | 2,113 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "flask.request.fil... |
494665653 | import os
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask.ext.mandrill import Mandrill
from flask.ext.cors import CORS
from flask.ext.babel import Babel
from flask.ext.geoip import GeoIP
from flask.ext.social.datastore import SQLAlchemyConnectionDatasto... | null | ioveda/__init__.py | __init__.py | py | 3,261 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_... |
589751529 | from django.urls import path
from . import views
urlpatterns = [
path('', views.ListTodo.as_view()),
path('<int:pk>/', views.DetailTodo.as_view()),
path('add/', views.AddTodo,name="add_todo"),
path('delete/', views.DeleteTodo,name="del_todo"),
path('clear/', views.ClearTodo,name="clear_todo"),
] | null | todos/urls.py | urls.py | py | 318 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
317950936 | """This module contains the Atom_Position class.
The Atom_Position is the "base unit" in Atomap, since it contains
the information about the individual atomic columns.
"""
import copy
import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage
import math
from atomap.atom_finding_refining import _make... | null | data/atomap_vers_eoc/atom_position_old.py | atom_position_old.py | py | 21,147 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.pi",
"line_number": 162,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 173,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 175,
"usage_type": "attribute"
},
{
"api_name": "atomap.atom_finding_refinin... |
256606795 | from django.db import models
from DjAdminExt import forms
class ForeignKeyExt(models.ForeignKey):
'''Clase para extender el field ForeignKey con funcionalidades extras'''
def __init__(self, to, to_field=None, rel_class=models.ManyToOneRel, **kwargs):
'''
Los parametros dependen de la c... | null | DjAdminExt/models/fields/ForeignKeyExt.py | ForeignKeyExt.py | py | 2,490 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.ForeignKey",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.ManyToOneRel",
"line_number": 7,
"usage_type": "attribute"
},
{
... |
99353509 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import math
import matplotlib.pyplot as plt
N_cot0 = []
A_azan = 0
h_azan = 0
A_gheble = 34.2
h_gheble = 0
plt.figure(figsize=[15,5])
pi = 3.1415
deg2rad = pi/180.0
rad2deg = 180.0/pi
ifPolar = True
width = 9
R = 20
phi = 33.89
all_N_prev... | null | sundial_backup.py | sundial_backup.py | py | 12,563 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "math.tan",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "math.cos",
"l... |
272773560 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import sys
sys.path.append('../')
import datasets
import log_reg
from dataproc import extract_wvs
from dataproc import get_discharge_summaries
from dataproc import concat_and_split
from dataproc import build_vocab
from dataproc import vocab_index_descriptions
from datap... | null | notebooks/dataproc_mimic_III_part.py | dataproc_mimic_III_part.py | py | 2,730 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "constants.MIMIC_3_DIR",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "collections.Counter... |
541982503 | """
Application : ReplSim
File name : ANN.py
Authors : Jacob Summerville, Martin Lopez, Henry Lee
Creation : 04/19/21
Description : This file contains the development of a neural net
the Neural Net is a recurrent neural net with supervised learning
called long short-term memory lear... | null | src/ann.py | ann.py | py | 11,944 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "matpl... |
51468733 | from mrjob.job import MRJob
from mrjob.step import MRStep
from mrjob.protocol import JSONValueProtocol
import json
import re
import itertools
dataset_path = '../dataset/'
def get_json_element(line):
''' Had to create this function because my shrinked JSON were dumped as a list,
not as various JSON Objects as ... | null | Entrega/03_top_reviewers_by_category_and_votes.py | 03_top_reviewers_by_category_and_votes.py | py | 2,187 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mrjob.job.MRJob",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "mrjob.step.MRStep",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "mrjob.step.MRStep",
... |
161749636 | # flake8: noqa TODO
from kfp.components import InputPath, OutputPath
def BigQueryExampleGen(
example_artifacts_path: OutputPath('Examples'),
query: str = None,
input_config: 'JsonObject: example_gen_pb2.Input' = None,
output_config: 'JsonObject: example_gen_pb2.Output' = None,
):
"""
Officia... | null | components/tfx/ExampleGen/BigQueryExampleGen/component.py | component.py | py | 4,199 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "kfp.components.OutputPath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tfx.components.example_gen.csv_example_gen.component.BigQueryExampleGen",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "google.protobuf.message.Message",
"line_numb... |
420955583 | """Test cycle simulation functions."""
from pytest import raises
import numpy as np
from neurodsp.tests.tutils import check_sim_output
from neurodsp.tests.settings import N_SECONDS, FS
from neurodsp.sim.cycles import *
################################################################################################... | null | neurodsp/tests/sim/test_cycles.py | test_cycles.py | py | 2,133 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "neurodsp.tests.settings.N_SECONDS",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "neurodsp.tests.settings.FS",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "neurodsp.tests.tutils.check_sim_output",
"line_number": 18,
"usage_t... |
272962595 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 18:11:27 2021
@author: LJB
"""
from PIL import Image
im_num=40
for k in range(im_num):
im = Image.open('{}.png'.format(k+1))
pix = im.load()
for i in range(im.size[0]):
for j in range(im.size[1]):
L=0.2126*pix[i,j][0]+0.7152*pix[i,j][... | null | dogface/흑백변환_dog.py | 흑백변환_dog.py | py | 432 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 13,
"usage_type": "name"
}
] |
416157476 | import requests, urllib3, urllib,time
from bs4 import BeautifulSoup
from selenium import webdriver
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
# 截图网页保存
def capture(url, name):
browser = webdriver.PhantomJS() # 被标记过时了
browser.set_window_size(1200, 900)
browser.get(url)
print(... | null | getwiki.py | getwiki.py | py | 1,591 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.PhantomJS",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
590252536 | #!/usr/bin/python
"""
This python script is to validate an output of a Ansible playbook.
It validates whether output of a playbook is a valid JSON object or not.
It also checks if all the required fields mentioned under in
`fields_to_check` variable are present in the JSON object or not.
Example Usage:
python pn_vali... | null | ansible/playbooks/pn_validate_json.py | pn_validate_json.py | py | 2,715 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "shlex.split",
... |
323315456 | #!/usr/bin/env python
# coding: utf-8
# In[7]:
import keras
from keras.models import Sequential
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import BatchNormalization
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten,Activation,Dropout
from keras.utils import normalize, to_c... | null | SERB_Apple_leafs_disease_detection model.py | SERB_Apple_leafs_disease_detection model.py | py | 2,986 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.image_data_format",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 33,
"usage_type": "call"
},... |
445182703 | from datetime import datetime
import icalendar
from dateutil.tz.tz import tzoffset
from todoman.model import Database
from todoman.model import FileTodo
from todoman.model import List
def test_querying(create, tmpdir):
for list in 'abc':
for i, location in enumerate('abc'):
create(
... | null | tests/test_model.py | test_model.py | py | 3,585 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "todoman.model.Database",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "todoman.model.Database",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "dateu... |
344469469 | #!/usr/bin/env python
# Ndiff
#
# This programs reads two Nmap XML files and displays a list of their
# differences.
#
# Copyright 2008 Insecure.Com LLC
# Ndiff is distributed under the same license as Nmap. See the file COPYING or
# https://nmap.org/data/COPYING. See https://nmap.org/book/man-legal.html for
# more de... | null | core/ndiff.py | ndiff.py | py | 41,313 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xml.__path__",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "xml.sax",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "xml.sax.make_parser",
... |
457388938 |
"""
Importa a biblioteca csv
Abre o arquivo .csv
Lê o arquivo .csv e transfere o conteúdo para a variável tabela, como uma lista
Imprime o conteúdo da lista
Colocar os arquivos csv em uma pasta dados, na mesma localização do arquivo manage.py
"""
"""
class Convenio(models.Model):
convenio = models.CharField(max_l... | null | Popula_tabelas.py | Popula_tabelas.py | py | 12,831 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Alisystem.models.Convenio.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Alisystem.models.Convenio.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Alisystem.models.Convenio",
"line_number": 18,
"usage_type":... |
159823775 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 18 00:41:29 2022
@author: lankuohsing
"""
import math
import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
# In[]
class Embeddings(nn.Module):
def __init__(self, d_model, vocab):
super(Embeddings, self).__init__()
self.... | null | transformer/annotated_transformer/input_encoding.py | input_encoding.py | py | 4,005 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
652283651 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Sponsor.slug'
db.add_column('base_sponsor', 'slug',
self.gf('django.db... | null | trephub/base/migrations/0002_auto__add_field_sponsor_slug__add_unique_sponsor_name.py | 0002_auto__add_field_sponsor_slug__add_unique_sponsor_name.py | py | 1,399 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "south.v2.SchemaMigration",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "south.db.db.add_column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "south.db.db",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "south.db.d... |
493417153 | from polling_regions import polling_regions
from polling_essentials import parties, RegionalTotals, Seat
import csv, json, math, sys
from datetime import datetime
seats = {}
regional = {}
percentages = {}
with open("2015election.json") as f:
data = json.load(f)
for seat in data:
seats[seat] = Seat(da... | null | analysis.py | analysis.py | py | 2,536 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "polling_essentials.Seat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "polling_regions.polling_regions.iteritems",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
372297018 | import os
os.environ["CUDA_VISIBLE_DEVICES"]="2"
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.utils import shuffle
from keras.models import Model
from keras.layers import Input, Embedding, Flatten, Dense, Concatenate
from keras.layers import Dropout, BatchNormalization, Activatio... | null | Recommender_System/New_app/Recomender_Model.py | Recomender_Model.py | py | 11,274 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.layers.Inp... |
175872160 | #!/usr/bin/env python
import argparse
import os
import sys
import subprocess as sp
from zeep import Client
NUMBER_OF_COMMITS = 1000
SOAP_URL = 'http://mantis.cipafilter.com/api/soap/mantisconnect.php?wsdl'
MANTIS_URL = 'mantis.cipafilter.com/view.php?id='
def initialize_args():
"""
Three arguments are requ... | null | scan_commits.py | scan_commits.py | py | 8,868 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 120,
"usage_type": "attribute"
},
{
... |
237673422 | import numpy as np
from PIL import Image
import torch
import os
import torch.utils.data as data
from glob import glob
from .common import BaseDataset
class davis2017(BaseDataset):
def __init__(self, base_dir, split, transforms=None, to_tensor=None):
super(davis2017, self).__init__(base_dir)
self.s... | null | dataloaders/davis2017.py | davis2017.py | py | 6,586 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "common.BaseDataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number":... |
460763129 | from PyQt5 import QtCore, QtWidgets
from ui_Widgets import uni_Widget
class ui_MorsePanel(QtWidgets.QWidget):
def __init__(self):
super(ui_MorsePanel, self).__init__()
self.horizontalLayout_4 = QtWidgets.QHBoxLayout(self)
self.horizontalLayout_4.setObjectName("horizontalLayout_4")
... | null | CryptoPanel/OldFiles/MorseModule/ui_MorseModule.py | ui_MorseModule.py | py | 3,767 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
224016470 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
from progress.bar import Bar
import time
import torch
from external.nms import soft_nms
from models.decode import ctdet_decode, ctdet_twostage_decode, ctdet_multiscale_decode
from... | null | src/lib/detectors/ctdet.py | ctdet.py | py | 5,703 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base_detector.BaseDetector",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.utils.flip_tensor",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mod... |
587422058 | import argparse
import math
import os
import pickle
import re
import sys
import psutil
from hypernets.utils import const, logging
metric_choices = ['accuracy', 'auc', 'f1', 'logloss', 'mse', 'mae', 'msle', 'precision', 'rmse', 'r2', 'recall']
strategy_choices = ['threshold', 'quantile', 'number']
def to_bool(v):
... | null | hypergbm/utils/tool.py | tool.py | py | 25,196 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "dask.distri... |
618974176 | #Tests proper handling of multiple MeritRemovals.
#Tests proper creation and handling of multiple MeritRemovals when Meros receives multiple causes for a MeritRemoval.
#Types.
from typing import Dict, IO, Any
#Data class.
from PythonTests.Classes.Transactions.Data import Data
#SignedMeritRemoval class.
from PythonTe... | null | PythonTests/Tests/Consensus/MeritRemoval/MultipleTest.py | MultipleTest.py | py | 3,786 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PythonTests.Meros.RPC.RPC",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.IO",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"lin... |
109843557 | from __future__ import print_function
from builtins import object, str
from typing import Dict
from empire.server.core.module_models import EmpireModule
from empire.server.utils.module_util import handle_error_message
class Module(object):
@staticmethod
def generate(
main_menu,
module: Empir... | null | empire/server/modules/powershell/code_execution/invoke_ntsd.py | invoke_ntsd.py | py | 4,174 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "builtins.object",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "empire.server.core.module_models.EmpireModule",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 15,
"usage_type": "name"
},
{
"api_nam... |
593644030 | import logging
import sqlite3
from typing import Any, cast, Iterator, List, Optional, Set
import json
from tqdm import tqdm
import requests
from .data import BlockBounds, EventType, NFTEvent, event_types
from .datastore import (
get_checkpoint_offset,
get_events_for_enrich,
insert_address_metadata,
in... | null | datasets/nfts/nfts/enrich.py | enrich.py | py | 4,942 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.List",... |
307051427 | from flask import Flask, render_template, redirect, url_for, flash, g, request
from flask_login import LoginManager, login_required, login_user
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import exc
import os
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///app.db'
app.config["SECRE... | null | app.py | app.py | py | 2,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask... |
575294210 | import csv
import datetime
import os
import requests
import twitter
path = os.path.dirname(os.path.realpath(__file__))
path = os.path.join(path, '01 Data')
filename = os.path.join(path, 'data.csv')
if not os.path.exists(filename):
with open(filename, 'w') as f:
f.write('date,name,party,facebook,twitter,l... | null | test1.py | test1.py | py | 4,756 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
215604641 | import pandas
import random
import numpy
from lib import util
import xgboost as xgb
from sklearn.model_selection import GridSearchCV, train_test_split
from sklearn.metrics import confusion_matrix, classification_report
def train():
train_data = _read()
train_X, test_X, train_Y, test_Y = _split(train_data)
... | null | prj/else/xgboost.py | xgboost.py | py | 2,009 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xgboost.XGBClassifier",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.GridSearchCV",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "xgboost.XGBClassifier",
"line_number": 20,
"usage_type": "call"
},
{
"... |
242942026 | from django.urls import path
from . import views
app_name = 'posts'
urlpatterns = [
path('', views.PostList.as_view(), name='all'),
path('new/', views.CreatePost.as_view(), name='create'),
path('by/<username>/', views.UserPosts.as_view(), name='for_user'), # by/username/ - all posts for that user
path... | null | forum_project/posts/urls.py | urls.py | py | 554 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
211999474 | import logging
from io import StringIO
import yaml
from .dict_util import deep_dict_merge
logger = logging.getLogger(__name__)
def load_global_config(global_cfg_paths):
"""Given a list of file paths to global config files, load each of them and
return the joined dictionary.
This does a deep dict merge... | null | tavern/util/general.py | general.py | py | 980 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dict_util.deep_dict_merge",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
... |
530599430 | import os
import h5py
import hydra
import torch
import torch.nn as nn
from torch.utils.tensorboard import SummaryWriter
import torch.multiprocessing as mp
import torch.distributed as dist
import itertools
import numpy as np
import skimage.io as skio
import imagesize
from tqdm import tqdm
from nltk.tokenize import word_... | null | exp/gpv/compute_vqa_test_predictions.py | compute_vqa_test_predictions.py | py | 3,756 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "nltk.tokenize.treebank.TreebankWordDetokenizer",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
445910446 | from colab_ssh._command import run_command as _run_command
import os
import sys
import importlib
import requests
from .get_tunnel_config import get_tunnel_config
def parse_folder_name(array):
import re
sys.path.insert(0, "./"+re.search("'(.*?)'", array[0]).groups(1)[0])
def init_git(repositoryUrl,
... | null | colab_ssh/init_git.py | init_git.py | py | 2,511 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "colab_ssh._command.run_comman... |
463328439 | #!/usr/bin/env python3
import sys
import datetime
from collections import defaultdict, namedtuple
from whatshap.args import HelpfulArgumentParser as ArgumentParser
import vcf
from array import array
#from whatshap.vcf import VcfReader
# =================================================================================... | null | consensus-genotypes-freebayes-gatk.py | consensus-genotypes-freebayes-gatk.py | py | 17,425 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "array.array",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 179,
"usage_type": "call"
},
{
"api_name": "vcf.Reader",
"line_number": 199,
"usage_type": "call"
},
{
"api_name": "array.array",
"l... |
317994151 | from django import forms
from .models import Answer, PendingQuestion, Question
class NewPendingQuestionForm(forms.ModelForm):
pending_question_description = forms.CharField(widget=forms.Textarea(
attrs={'rows': 5, 'placeholder': 'Write something'}
), max_length=2000, help_text='The max length is 2000'... | null | Questions/forms.py | forms.py | py | 919 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.f... |
414946014 | # -*- coding: utf-8 -*-
import cv2
import sys
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.externals import joblib
import pylab as plt
# 学習に用いる縮小画像のサイズ
sw = 160
sh = 120
# 学習結果を保存するファイルの決定
if len(sys.argv)!=2:
print('使用法: python ml-08-03-learn.py 保存ファイル名.pkl')
sys.exit()
sa... | null | hand-learn4.py | hand-learn4.py | py | 3,626 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.findNonZero",
"line_numb... |
533517772 | # coding:utf-8
"""
县以上(省,市,县或区)行政区划:
2018年8月中华人民共和国县以上行政区划代码
http://www.mca.gov.cn/article/sj/xzqh/2018/201804-12/20180810101641.html
"""
import time
import requests
from lxml import etree
from level3.db import utils as db_utils
from level3.db.models import *
def load_html(url):
"""加载html数据"""
headers={
... | null | 02_PC端/行政区划/level3/spider.py | spider.py | py | 4,901 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "level3.db.utils.save_province... |
206659249 | from model import GNN_graphpred
import torch
import torch.nn as nn
import torch.optim as optim
import copy
class MAML(torch.nn.Module):
def __init__(self, meta_lr, maml_lr, n_way, update_step, args):
super(MAML, self).__init__()
self.meta_lr = meta_lr
self.maml_lr = maml_lr
self.n_wa... | null | bio/MAML.py | MAML.py | py | 3,504 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "model.GNN_graphpred",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.BCEWithLogitsLoss",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn"... |
201174722 | import matplotlib.pyplot as plt
import numpy as np
from scipy.integrate import cumtrapz
initial_height = 30.0 # rider starts at an initial height of 30 meters.
path = 'droptower_vdata.txt'
velocity_data = np.loadtxt(path)
num_interval = velocity_data.shape[0]
t = velocity_data[:, 0]
t_shorter = t[:-1]
velocity = ... | null | tower.py | tower.py | py | 1,312 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.cumtrapz",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"li... |
565135328 | # **************************************************************************** #
# #
# ::: :::::::: #
# generator.py :+: :+: :+: ... | null | bootcamp_python_ml/python/day01/ex03/generator.py | generator.py | py | 1,884 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
}
] |
508545109 | # selecturl
# usage:
# arg: none
# ret: unimplemented
# out: queue to geturls
#----------
# read new urllist
# and join it to parent dataframe
#----------
def read_urllist_from_csv_to_df(parentkey, parentdepth):
import pandas as pd
try:
df = pd.read_csv("urllist.csv")
except:
print("./urllist.csv is empty or no... | null | updateurldb.py | updateurldb.py | py | 3,734 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_n... |
222933530 | from sqlalchemy.sql import text as sql
from psycopg2.extras import Json
from datetime import datetime
from ..ut.bunch import bunchr
from .error import error_guard
def add_query(conn, kind, text, result={}):
ret = conn.execute(sql('''
insert into query (kind, text, result)
values (:kind, :text, :re... | null | torabot/db/query.py | query.py | py | 3,854 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.sql.text",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "psycopg2.extras.Json",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.sql.text",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ut.bunch.... |
255842988 | #!/usr/bin/env python2.7
from __future__ import print_function
import argparse
import multiprocessing
import os
import re
import subprocess
import sys
import tarfile
import textwrap
from contextlib import closing
from subprocess import PIPE
from urlparse import urlparse
import yaml
from bd2k.util.files import mkdir_p... | null | src/toil_rnaseq/rnaseq_cgl_pipeline.py | rnaseq_cgl_pipeline.py | py | 33,891 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.Namespace",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "toil_lib.urls.download_url_job",
"line_number": 59,
"usage_type": "argument"
},
{
"a... |
91086457 | # -*- coding: utf-8 -*-
# MIT License
#
# Copyright (c) 2017 IRISA, Jean Coquet, Pierre Vignet, Mateo Boudet
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including w... | null | test/test_cases.py | test_cases.py | py | 5,155 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "biopax2cadbiom.commons.DIR_TEST_CASES",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "biopax2cadbiom.commons.DIR_LOGS",
"line_number": 78,
"usage_type": "name"
},
{
"api_name": "biopax2cadbiom.commons.DIR_LOGS",
"line_number": 82,
"usage_type": ... |
275047085 | # Задание # 5
#
# Продолжить работу над первым заданием. Разработать методы, отвечающие за приём
# оргтехники на склад и передачу в определенное подразделение компании. Для хранения
# данных о наименовании и количестве единиц оргтехники, а также других данных, можно
# использовать любую подходящую структуру, например с... | null | I четверть/Основы языка Python (Вебинар)/lesson-8/hw_8_5.py | hw_8_5.py | py | 8,146 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "abc.ABCMeta",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "hw_8_4.OfEqPrinter",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "hw_8_4.OfEqPrinter",
... |
249279140 | import requests
import datetime
import time
from pymongo import MongoClient
import os
import re
import traceback
from dingtalkchatbot.chatbot import DingtalkChatbot
client = MongoClient()
videoCollection = client.douyin.video
idolCollection = client.douyin.idol
phoneCollection = client.douyin.phone
groupCollection =... | null | src/front/douyin.py | douyin.py | py | 9,219 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 206,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 206,
"usage_type": "attribute"
},
{
"api_name": "config.settings._base... |
159491201 | import pygame
from pygame.locals import *
import math
import sys
import random
from pygame.locals import QUIT , Rect, \
KEYDOWN, K_LEFT, K_RIGHT, K_UP, K_DOWN, K_RETURN
# 画面
SCREEN = Rect(0, 0, 600, 500)
screenWidht = 600
screenHeight = 500
SURFACE = pygame.display.set_mode((screenWidht,screenHeight))
FPSC... | null | 2019_1122_Python_Training/team4/tanaka_nozomu/a.py | a.py | py | 6,882 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.locals.Rect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame... |
575558184 | # encoding: utf-8
from itertools import chain
from lxml import etree
from ..base import BaseULObject, resolve_reference, write_reference
from ...base import E, read_annotations, annotate_xml, NINEML
from ...context import BaseReference, Context
from nineml.exceptions import NineMLUnitMismatchError
from nineml.abstracti... | null | lib9ml/python/nineml/user_layer/components/base.py | base.py | py | 11,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base.BaseULObject",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "nineml.exceptions.NineMLUnitMismatchError",
"line_number": 172,
"usage_type": "call"
},
{
"api... |
243109727 | """
Definition of views.
"""
from django.shortcuts import render, redirect
from django.http import HttpRequest
from django.template import RequestContext
from datetime import datetime,timedelta
import smtplib
from django.core.serializers import json
from YABE import BasicData
from YABE import ProjectData
from YABE imp... | null | YABE/app/views.py | views.py | py | 37,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.http.HttpRequest",
"line_number": 37,
"usage_type": "argument"
},
{
"api_name": "django.shortcuts.render",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "YABE.BasicData.HOST",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_... |
217769307 | import time
import os
import glob
import concurrent.futures
from PIL import Image, ImageFilter
img_names = glob.glob("src_img/photo*")
t1 = time.perf_counter()
size = (1200, 1200)
def process_image(img_name):
img = Image.open(img_name)
img = img.filter(ImageFilter.GaussianBlur(15))
img.thumbnail(size... | null | T4. Asynchronous programming/Multiprocessing/process-images.py | process-images.py | py | 604 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "glob.glob",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number... |
395497861 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 26 15:32:10 2020
@author: Administrator
"""
import tensorflow as tf
from tflearn.layers.conv import global_avg_pool
from tensorflow.contrib.layers import batch_norm, flatten
from tensorflow.contrib.framework import arg_scope
import numpy as np
import Densenet_get_data as ... | null | Densenet_mydata.py | Densenet_mydata.py | py | 20,532 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.name_scope",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "tensorflow.layers.conv2d",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tensorflow.layers",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": ... |
503227256 | import json
import os
import glob
import shortuuid # type: ignore
from typing import List, NamedTuple, Optional
from .settings import LNBITS_DISABLED_EXTENSIONS, LNBITS_PATH
class Extension(NamedTuple):
code: str
is_valid: bool
name: Optional[str] = None
short_description: Optional[str] = None
... | null | lnbits/helpers.py | helpers.py | py | 3,673 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.NamedTuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
146018684 | import urllib
import logging
from . import config
from . import stats
from .urls import URL
from . import url_allowed
LOGGER = logging.getLogger(__name__)
POLICY = None
valid_policies = set(('None', 'www-then-non-www'))
def expand_seeds_config(crawler):
urls = []
seeds = config.read('Seeds')
if seeds ... | null | cocrawler/seeds.py | seeds.py | py | 3,846 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urls.append",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urls.append",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlsplit",
... |
462767496 | from glob import glob, escape
from datetime import datetime
from collections import defaultdict
import os, os.path, sys, time
import re
import subprocess
import errno
import itertools
import shutil
from PIL import Image
from PIL.ExifTags import TAGS
import hashlib
from wand.image import Image
from wand.display import d... | null | pyorg.py | pyorg.py | py | 9,069 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.makedirs",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "errno.EEXIST",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "hashlib.md5",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "wand.image.Image.open",
... |
278690919 | # -*- coding: utf-8 -*-
import logging
import re
import hxl
from hdx.location.country import Country
from hdx.utilities.loader import load_json
logger = logging.getLogger(__name__)
def clean_string(s):
# Normalise one or more whitespaces to a single space and remove any punctuation at the start/end except
#... | null | iati/lookups.py | lookups.py | py | 9,837 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 17,
"u... |
629726187 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 21 12:08:20 2019
@author: harshwardhan
"""
from PIL import Image, ImageFilter
img_blur = Image.open("img.jpeg")
img_blur.filter(ImageFilter.GaussianBlur(15)).save('img4.jpg')
img_blur = Image.open("img4.jpg")
img_blur.show() | null | file_handling/plex3.py | plex3.py | py | 297 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFilter.GaussianBlur",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter... |
388529199 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.md', 'r') as file:
readme = file.read()
requirements = [
'beautifulsoup4==4.4.0',
'netaddr==0.7.18',
]
setup_requirements = [
'pytest-runner',
]
test_requirements = [
'pytest',
]
setup(
... | null | setup.py | setup.py | py | 1,433 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.setup",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 30,
"usage_type": "call"
}
] |
463313052 | #!/usr/bin/python3
from models import storage
from models.state import State
from flask import Flask, render_template
app = Flask(__name__)
app.url_map.strict_slashes = False
@app.route('/states')
@app.route('/states/<id>')
def hello_HBNB(id=None):
all_states = storage.all(State)
states = list(a... | null | web_flask/9-states.py | 9-states.py | py | 796 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.storage.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.state.State",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "models.storage",... |
425530082 | import unittest
import numpy as np
import dadi.DFE
from dadi.DFE import PDFs, DemogSelModels
class DFETestCase(unittest.TestCase):
def test_Cache1D_generation(self):
"""
Trivial test that Cache1D generation doesn't crash.
"""
dadi.DFE.Cache1D([], [10], DemogSelModels.equil, [20, 30... | null | tests/test_DFE.py | test_DFE.py | py | 11,537 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "dadi.DFE.DFE.Cache1D",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dadi.DFE.DFE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "dadi.DFE... |
341056440 | from flask import render_template, redirect, send_from_directory
from flask_mail import Message
from app import mail
from app import app
from app.forms import ContactForm
@app.route('/')
@app.route('/index')
def index():
return redirect('/index.html')
@app.route('/contact', methods=['GET', 'POST'])
def cont... | null | app/routes.py | routes.py | py | 1,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.redirect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.app.route",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.app.route",
"line_number... |
235160106 | import os
import json
import torch
from shutil import copy2
def save_best_model(net, acc):
save_best_accuracy(acc)
torch.save(net.state_dict(), "Results/" + os.uname()[1] + "/current/model.pt")
def save_logs(epoch, loss, acc, mode):
filename = "Results/" + os.uname()[1] + "/current/{}_logs.csv".format(... | null | results_handler.py | results_handler.py | py | 1,684 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.save",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.uname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.uname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 15,
... |
609775546 | import datetime
def time_to_day(inn):
out = int(inn[0])/24#hours
if inn[1][0] == "0":#minutes
out = out + int(inn[1][1])/24/60
else:
out = out + int(inn[1])/24/60
if inn[2][0] == "0":#minutes
out = out + int(inn[1][1])/24/60/60
else:
out = out + int(inn[1])/24... | null | Raw repo/code/conv_track/stats/test.py | test.py | py | 710 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "call"
}
] |
552946587 |
def cur_rate(rate1, rate2, rate3):
import urllib2
import json
s = ('https://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.xchange%20where%20pair%3D%22{}%2C{}%2C{}%22&format=json&env=store%3A%2F%2Fdatatables.org%2Falltableswithkeys'.format(rate1, rate2,rate3))
d = ('https://... | null | Homework2.2/homework2-2.py | homework2-2.py | py | 1,278 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib2.urlopen",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numb... |
325366787 | from django.http import HttpResponse, HttpResponseRedirect
from django.template import RequestContext, loader
from .forms import ContactView
from django.contrib import messages
__author__ = "Aniruddha Ravi"
__license__ = "MIT"
__version__ = "1.0.3"
__email__ = "aniruddha.ravi@gmail.com"
__status__ = "Development"
de... | null | mvp/contact/views.py | views.py | py | 773 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "forms.ContactView",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.add_message",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages",
"line_number": 18,
"usage_type": "name"
},
{
"api... |
72804928 | import numpy as np
from io import BytesIO
import time
import PIL
from bs4 import BeautifulSoup
import requests
from PIL import Image
import PIL
import random
import glob
import os
import imageio
def get_soup(link=None):
rls = requests.get(link)
soup = BeautifulSoup(rls.content, 'html.parser')
... | null | download_toronto_dataset.py | download_toronto_dataset.py | py | 2,029 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"lin... |
492478242 | import csv
from math import sin, asin, cos, radians, fabs, sqrt
import numpy as np
import matplotlib.pyplot as plt
from sklearn.impute import SimpleImputer
#calculate distance with GPS
EARTH_RADIUS=6378137
def hav(theta):
s = sin(theta / 2)
return s * s
def get_distance_hav(lat0, lng0, lat1, lng1):
lat... | null | code/Analysis.py | Analysis.py | py | 4,525 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": ... |
637130449 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from ..items import ProxyPollItem
class ProxiesSpider(CrawlSpider):
name = 'proxies'
allowed_domains = ['kuaidaili.com']
start_urls = ['http://www.kuaidaili.com/free']
ru... | null | proxy_poll/proxy_poll/spiders/proxies.py | proxies.py | py | 1,041 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 14,
"usage_type": "call"
},
{
... |
290024934 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('chores', '0011_auto_20151003_2218'),
... | null | chores/migrations/0012_auto_20151010_2028.py | 0012_auto_20151010_2028.py | py | 1,047 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
241731945 | try:
import httplib as _httplib
import urlparse as _urlparse
except ImportError: # 3.x!
import urllib.parse as _urlparse
import http.client as _httplib
def _get_connection(link, *args):
pieces = _urlparse.urlsplit(link)
scheme, netloc, path_pieces = pieces[0], pieces[1], pieces[2:]
path = _... | null | DjangoWebProject1/env/Lib/site-packages/check.py | check.py | py | 878 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.parse.urlsplit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urlunsplit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.parse... |
120914492 | import os
from PIL import Image, ImageDraw, ImageFont
import settings as stg
from . import player
from . import obstacle
from . import utility
class Stage:
def __init__(self):
self.first_player = None
self.second_player = None
self.players = []
self.images = []
self.frame =... | null | res/lib/stage.py | stage.py | py | 6,009 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "settings.SCALE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.new",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "settings.WIDTH",
"lin... |
296804316 | """
Work in progress :)
Anais
"""
#reload all parameters and modules
import qt
# reload all parameters and modules, import classes
from measurement.scripts.espin import espin_funcs as funcs
reload(funcs)
from measurement.scripts.espin.calibrations import standard_espin_calibrations_v2 as calib
reload(calib)
SAMPLE = ... | null | scripts/espin/calibrations/test_pi4_calibration.py | test_pi4_calibration.py | py | 5,380 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "measurement.scripts.espin.espin_funcs",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "measurement.scripts.espin.calibrations.standard_espin_calibrations_v2",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "qt.exp_params",
"line_num... |
92375516 | #!/usr/bin/pyhton
# DEBUG: 10
# INFO: 20
# WARNING: 30
# ERROR: 40
# CRITICAL: 50
import logging
import employee2
#logging.basicConfig(filename='logs/sample2.log', level=logging.DEBUG, \
# format='%(asctime)s | %(name)s | %(levelname)s | %(message)s' )
# logger = logging.getLogger(__name__)
logg... | null | python_scripts/bin/pyclass/sample2.py | sample2.py | py | 2,634 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.FileHa... |
35613376 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 19 11:09:32 2018
@author: austinhsu
"""
import numpy as np
import jieba
from gensim.models import word2vec
#from keras.utils import to_categorical
#from keras.preprocessing.sequence import pad_sequences
#from keras.models import Sequential
#from ke... | null | hw4/problem_files/test_only_words.py | test_only_words.py | py | 2,240 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jieba.load_userdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gensim.models.word2vec.Word2Vec.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gensim.models.word2vec.Word2Vec",
"line_number": 18,
"usage_type": "attribute"
... |
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