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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
517612769 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: shaopf
@file: gen_posseg_pinyin_otherlanguage.py
@version: 1.0
@time: 2019/07/15 10:54:02
@email: feipengshao@163.com
@function： 其它无前端语言，根据发音词典生成，分词仍然利用jieba
"""
from jieba import posseg
from seperate_pinyin import pinyinformat
from language_util import _PUNC... | null | src/gen_posseg_pinyin_otherlanguage.py | gen_posseg_pinyin_otherlanguage.py | py | 3,425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.split",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "seperate_pinyin.pinyinformat",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "seperate_pinyin.pinyinformat",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "la... |
48763879 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 26 09:29:05 2019
@author: Sylvain.FINOT
"""
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
np.random.seed(12789749)
plt.style.use('Rapport')
plt.rc('axes', titlesize=12)
Rate = int(9.2e4+1.7e5) #nombre de c... | null | Simulation g2/Poisson/Simulation_g2_poisson.py | Simulation_g2_poisson.py | py | 1,855 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matpl... |
574800351 | import pwn
import argparse
from send_kernel import *
parser = argparse.ArgumentParser()
parser.add_argument('-t', '--tty', help='target tty', default='/dev/ttyUSB0')
parser.add_argument('-b', '--baudrate',
help='serial baudrate', type=int, default=115200)
parser.add_argument('-k', '--kernel', help=... | null | script.py | script.py | py | 602 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pwn.serialtube",
"line_number": 17,
"usage_type": "call"
}
] |
285196457 | # -*- coding: utf-8 -*- #
# Copyright 2015 Google Inc. All Rights Reserved.
#
# 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 requir... | null | google-cloud-sdk/lib/tests/lib/surface/compute/e2e_managers_updater_test_base.py | e2e_managers_updater_test_base.py | py | 15,022 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.lib.surface.compute.e2e_test_base.BaseTest",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "tests.lib.surface.compute.e2e_test_base",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "googlecloudsdk.calliope.base.ReleaseTrack",
"li... |
337193759 | from flask import Flask, jsonify, request, send_from_directory
from flask_cors import CORS
from blockchain import Blockchain
from transaction import Transaction
from wallet import Wallet
from block import Block
app = Flask(__name__)
CORS(app)
@app.route('/', methods=['GET'])
def get_node_ui():
return send_from_... | null | node.py | node.py | py | 9,160 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.send_from_directory",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.send_from_... |
254761003 | #coding:utf-8
from Conll09FileReader import Conll09FileReader
from SentenceData09 import SentenceData09
from collections import deque
from lxml import etree as ET, etree
from os import listdir
from os.path import isfile, join
import globals
from CompoundVerb import CompoundVerb
from Tagger.VerbEventTagger impo... | null | EventProcessing/CorpusXMLManipulation.py | CorpusXMLManipulation.py | py | 9,556 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Conll09FileReader.Conll09FileReader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lxml.etree.Element",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "lxm... |
217493267 | #!/usr/bin/python3
import csv
import datetime
import fnmatch
import os
from dateutil.relativedelta import *
files, all_libs = [], []
mon = datetime.datetime.now() - relativedelta(months=1)
mon = mon.strftime('%Y/%m')
def find(files):
"""
Find EBSCO stats file in working directory
"""
for file in o... | null | misc/process-ebsco-stats.py | process-ebsco-stats.py | py | 1,573 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmat... |
225726414 | import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
from sklearn.metrics import classification_report
from numpy.random import seed
from tensorflow.keras.layers import Conv2D,Activation,MaxPooling... | null | crosswalk_sign_model.py | crosswalk_sign_model.py | py | 2,320 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tensorflow.compat.v1.set_random_seed",
"line_number": 11,
"usage_type": "call"
},
... |
298940494 | import requests
import random
word_site = "https://svnweb.freebsd.org/csrg/share/dict/propernames?view=co"
response = requests.get(word_site)
WORDS = response.content.splitlines()
the_gender=''
the_name=''
suggestions=''
number=0
def gend():
global the_gender
while True:
your_gen=input("Is the baby ... | null | namegen.py | namegen.py | py | 1,325 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 34,
"usage_type": "call"
}
] |
121913030 | import logging
import re
logger = logging.getLogger(__name__)
class FieldDomain:
"""Mixin class for methods of field and domain constructs.
.. versionadded:: (cfdm) 1.8.9.0
"""
def _apply_masking_constructs(self):
"""Apply masking to metadata constructs in-place.
Masking is appli... | null | cfdm/mixin/fielddomain.py | fielddomain.py | py | 38,268 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 346,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 381,
"usage_type": "call"
}
] |
404462531 | #!/usr/bin/env python3
import sqlite3
import os
import nltk
import json
import time
import datetime
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from collections import Counter
nltk.download('stopwords')
nltk.download('punkt')
STOPS = stopwords.words() + ["amp", "gt", "lt"]
FILLER = ["lik... | null | analysis/popular-words/crpopular.py | crpopular.py | py | 2,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.download",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.s... |
395546401 | import numpy as np
import matplotlib.pyplot as plt
import os
import tensorflow as tf
def plot_mel_and_alignment(save_folder, mel, align_path, tokens=None, idx=0, step=0,
mel_length=None, character_length=None):
"""Plot, align character and mel
mel: [mel_length, 80]
align_path: [... | null | tensorflow_tts/utils/plot_utils.py | plot_utils.py | py | 2,806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.concatenate",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.nonzero",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate"... |
565452236 | import os
from subprocess import Popen
import tempfile
from djangomaster.views import MasterView, MasterJSONView
from djangomaster.conf import settings
class TestView(MasterView):
template_name = 'djangomaster/test.html'
menu_item = 'test'
def get_context_data(self, **kwargs):
context = super(Te... | null | djangomaster/views/test.py | test.py | py | 2,297 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "djangomaster.views.MasterView",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "djangomaster.views.MasterJSONView",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.split",
"line_number": 32,
"usage_type": "call"
},
{
"api_... |
567167498 | import os
import datetime
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, confusion_matrix, roc_curve, auc
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from skle... | null | head_classifier_train.py | head_classifier_train.py | py | 4,743 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 30,
"usage_type": "call"
},
{
"api_name... |
45679860 | import concurrent.futures
import json
import math
import multiprocessing
import os
import time
import urllib.parse
import urllib.request
def convert_meter_to_latitude(meter):
earth_radius = 6378137.0
earth_circumference = 2.0 * math.pi * earth_radius
meters_per_degree = earth_circumference / 360.0
ret... | null | main.py | main.py | py | 6,615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "math.cos",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 22,
... |
53908916 | import json
import glob, os
import argparse
def str2bool(string):
if type(string) == bool:
bool_type = string
else:
assert string == 'True' or string == 'False'
bool_type = True if string == 'True' else False
return bool_type
def is_same_original(ref, test, root=False... | null | Challenge/Second_Year/Mission2/function/output/compare_gt.py | compare_gt.py | py | 6,818 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 130,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
446533986 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
import time
import config
import threading
from flask import Flask,request,r... | null | updateticketstatus.py | updateticketstatus.py | py | 11,383 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "check_licensing.decrypt_message",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.logger.info",
"line_number": 23,
"usage_type": "call"
},
{
"api_... |
416977132 | """Module that handles the interaction with the files."""
import os
import shutil
from collections import OrderedDict
import json
import basic
class JsonFileHandler:
"""Provide basic functionality to handle files."""
def __init__(self, root_path, files_path, backup_path="backup"):
"""Constructor."""
... | null | backend/filesys.py | filesys.py | py | 6,337 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "basic.perror",
"line_number"... |
129456215 | import tts
import stt
import karp
running=True
talk=tts.tts()
#
# talk.talk("test 1 2 3 4")
#
karp=karp.karp();
talking=stt.stt()
#
# text=talk.talk((memes.listen()))
def commands(txt):
print(txt)
while running:
x=input()
talk.talk("say a command")
inp=talking.listen()
commands(inp)
| null | pycharm/javis/jarvis.py | jarvis.py | py | 315 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tts.tts",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "karp.karp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "stt.stt",
"line_number": 12,
"usage_type": "call"
}
] |
626947631 | import logging
from datetime import datetime
import tensorflow as tf
import numpy as np
from model import Model
class Config:
"""Holds model hyperparams and data information.
The config class is used to store various hyperparameters and dataset
information parameters. Model objects are passed a Config()... | null | cam/sgnmt/RL/linearModel.org.py | linearModel.org.py | py | 8,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "model.Model",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "tensorflow.placeh... |
57843194 | from keras.applications.mobilenet import MobileNet
from keras.models import Model
from keras.layers import BatchNormalization, Dense, Input, Flatten, Conv2D
from keras.utils import plot_model
def mobile_net_define(height, width, channel, alpha=0.25, weights=None):
# model define
# input_tensor = Input((height... | null | model/mobile_net/my_mobile_net.py | my_mobile_net.py | py | 1,584 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.layers.Input",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.appl... |
67209598 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /root/project/datamaestro/context.py
# Compiled at: 2020-02-25 07:34:23
# Size of source mod 2**32: 12420 bytes
from pathlib import Path
import sys, importlib, os... | null | pycfiles/datamaestro-0.6.13-py3-none-any/context.cpython-36.py | context.cpython-36.py | py | 12,106 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tqdm.tqdm",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "marshmallow.fields",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "marshmallow.Schema",
... |
13935459 | '''
A schematic figure to illustrate how Pe (and F_act) sets deformability:
-LJ potential
-Overlay 2 Forces (Strong under week)
-Corresponds to collision angle
'''
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as axes3d
eps = 0.01
sigma = 1.
def ljPotential(r, eps=0... | null | deformable_potential_figure/deformable_figure.py | deformable_figure.py | py | 5,854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.cos",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
"line_number": ... |
648598723 | # -*- coding: utf-8 -*-
from sklearn import cluster
import csv
import numpy as np
'''
题目难度聚类分析,输出八分类中心
'''
class CaseCalculator:
def __init__(self, score_statistics, output):
self.score_statistics = score_statistics
self.output = output
def __get_raw_scores(self):
'''
读取题目做题分... | null | OurModel/_3_Case_Difficulty.py | _3_Case_Difficulty.py | py | 2,568 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster",
... |
503247211 | from selenium import webdriver
driver = webdriver.Chrome(executable_path="C:\\Users\\indrasen\\Documents\\chromedriver_win32\\chromedriver.exe")
driver.get("https://the-internet.herokuapp.com/iframe")
#frame id/frame name/frame index
driver.switch_to.frame("mce_0_ifr")
driver.find_element_by_css_selector("#tinymce").c... | null | PracticePrograms/frames.py | frames.py | py | 526 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 3,
"usage_type": "name"
}
] |
58582179 | import pytest
from protox_encoding import (
encode_varint, decode_varint,
encode_bytes, decode_bytes,
encode_zig_zag32, decode_zig_zag32,
encode_zig_zag64, decode_zig_zag64,
encode_header, decode_header,
read_bytes,
)
@pytest.mark.parametrize('value', [
0,
1,
127,
128,
2 *... | null | tests.py | tests.py | py | 1,914 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "protox_encoding.encode_varint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "protox_encoding.decode_varint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 13,
"usage_type": "call"
},
{
... |
617430915 | from flask import Flask, render_template, request, jsonify
from lib import chart
import json
app=Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
return jsonify({'result': request.get_array(field_name='file')})
return render_template('index.html')
@ap... | null | run.py | run.py | py | 1,019 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
... |
411664942 | from django.urls import path
from blog import views
app_name = 'blog'
urlpatterns = [
path('',views.PostListView.as_view(),name='post_list'),
path('article/', views.ArticleView.as_view(), name="article"),
path('newpost/', views.CreatPostView.as_view(), name="new_post"),
path('post/<int:pk>/edit/', vie... | null | blog/urls.py | urls.py | py | 1,180 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "blog.views.PostListView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "blog.views.PostListView",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_na... |
41082687 | from airflow.plugins_manager import AirflowPlugin
from airflow.utils.decorators import apply_defaults
from airflow.operators.sensors import BaseSensorOperator
from airflow.operators.python_operator import ShortCircuitOperator
from builtins import bytes
from subprocess import Popen, STDOUT, PIPE
from tempfile import ... | null | plugins/file_operators.py | file_operators.py | py | 7,195 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "airflow.operators.sensors.BaseSensorOperator",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 31,
"usage_type":... |
294341394 | # from django.shortcuts import render/
from django.http import HttpResponseRedirect
# from django.template import loader
from django.shortcuts import render, redirect
from . models import Product, Cart, Item
from .forms import UserRegistrationForm, FilterForm
from django.contrib import messages
from django.contrib.auth... | null | shop/views.py | views.py | py | 3,678 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Product.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": ... |
186478112 | import pygame
from pygame.locals import KEYDOWN, QUIT, MOUSEBUTTONDOWN, K_RETURN, K_ESCAPE
from collections import namedtuple
from heapq import heappush, heappop
import time
from time import sleep
import sys, argparse, csv, math, random
# CLASS DEFINITIONS
class City:
def __init__(self, name, id, pos_x, pos_y):
s... | null | PVC/Exercise/RamseyerSerex.py | RamseyerSerex.py | py | 11,687 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.draw.circle",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.flip",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pygame.displa... |
52167741 | #!/usr/bin/env python
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import subprocess
import shutil
import sys
import os
def MakeStamp(stamp_path):
dir_name = os.path.dirname(stamp_pa... | null | sky/tools/copy_dir.py | copy_dir.py | py | 820 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
568280899 | # -*- coding: utf-8 -*-
from tg import expose, url
from bs.lib import base
import urllib2
import urllib
import tg
import json
class DirectController(base.BaseController):
"""
Display plugins operation and forms when
user come directly to BioScript server
"""
@expose('mako:bs.templates.visual_inde... | null | bs/controllers/direct.py | direct.py | py | 2,776 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bs.lib.base.BaseController",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bs.lib.base",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "tg.config.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tg.config",... |
125072049 | """
The FileStorage Administration view. Allows users to be given access to file
storage. This is where an admin approves and organization to use the storage
app.
@author aevans
"""
import traceback
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.db ... | null | filestorage/filestorageapp/views/admin.py | admin.py | py | 4,335 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": ... |
43855374 | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | null | gcp_doctor/queries/gce_stub.py | gce_stub.py | py | 4,722 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number"... |
410035507 | '''
The output layer.
'''
from abc import abstractmethod
from Layer import Layer
import theano
import theano.tensor as T
class LayerOutput(Layer):
def __init__(self,
input_layer,
C,
objective='crossentropy',
enable_reparameterization_trick=False... | null | network/LayerOutput.py | LayerOutput.py | py | 6,697 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Layer.Layer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "theano.tensor.ivector",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "theano.tensor",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "theano.config",
"... |
125072607 | import random
import speech_recognition as sr
import os
from string import capwords
from playsound import playsound
from gtts import gTTS
def speak(text):
tts = gTTS(text=text, lang = 'en')
fileName = "voice.mp3"
tts.save(fileName)
print(text)
playsound(fileName)
os.remove(fileName)
def getA... | null | game.py | game.py | py | 5,469 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gtts.gTTS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer... |
40815611 | from flask import Flask, request, json, jsonify
import mysql.connector
#import hashlib
import time
#import base64
#SHA1 : The 160 bit hash function that resembles MD5 hash in working and was discontinued to be used seeing its security vulnerabilities.
app = Flask(__name__, static_url_path='/static')
app.... | null | REST/Containers/allinone-flask - Copy.py | allinone-flask - Copy.py | py | 16,589 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_... |
504872387 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 11 15:12:47 2017
@author: Administrator
"""
from django.conf.urls import url, include
from .views import OrgView,AddUserAskView
from .views import TeacherListView,TeacherDetailView,AddFavView,OrgHomeView
urlpatterns = [
# 课程机构列表页
url(r'^list/$',OrgView.as_v... | null | yyonline/apps/organization/urls.py | urls.py | py | 981 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.OrgView.as_view",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "views.OrgView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.conf.... |
53383496 | import tempfile
import unittest
from testfixtures import compare
import mock
from mock import patch
import yaml
import json
import boto.cloudformation
import boto.ec2.autoscale
import paramiko
from bootstrap_salt import cloudformation
from bootstrap_salt import ec2
from bootstrap_salt import ssh
from bootstrap_salt imp... | null | tests/test.py | test.py | py | 13,927 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
260450796 | #!/usr/bin/env python3
import sys
import os
from binascii import unhexlify, hexlify
import string
from Crypto.PublicKey import RSA
from hashlib import sha256
import asyncio
import aiosqlite
from crypto import decrypt, encrypt, sign, verify
# def timeout_handler():
# print("TIMEOUT!")
# os._exit(os.EX_OK)
i... | null | crystore/cry_async.py | cry_async.py | py | 5,074 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "Crypto.PublicKey.RSA.importKey",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Crypto.Pub... |
176782250 | """
Accelerator
-----------
This module provides high-level classes to define most functionality of ``model.accelerators``.
It contains entrypoint the parent `Accelerator` class as well as other support classes.
"""
import re
from pathlib import Path
from typing import List, Union, Sequence
import numpy
import pandas... | null | omc3/model/accelerators/accelerator.py | accelerator.py | py | 13,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "omc3.utils.logging_tools.get_logger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "omc3.utils.logging_tools",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 32,
"usage_type": "call"
},
{
"api_nam... |
348334349 | import pygame
def drawRegularPolygon(surface, color, theta, x, y, w, h):
x -= w/2
y -= h/2
hw = w/2
hh = h/2
# Rect points
points = [
(-hw, -hh),
(hw, -hh),
(hw, hh),
(-hw, hh)
]
rotated_point = [pygame.math.Vector2(p).rotate(theta) for p in points]
... | null | fieldsim/Draw.py | Draw.py | py | 419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.math.Vector2",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.math",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.math.Vector2",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.math"... |
420175489 | import datetime
from unittest import mock
import pytest
import scoring
from store import Store
class TestGetStore:
CONST_ARGS = ('7586', 'email@example.com')
CONST_KWARGS = {'gender': 'male'}
@staticmethod
def get_store(return_mock_get):
store = mock.create_autospec(Store)
store.cac... | null | 03_04_oop_tests/homework/app/tests/unit/test_scoring.py | test_scoring.py | py | 2,502 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.mock.create_autospec",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "store.Store",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "unittest.mock",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "store.cac... |
224152192 | import requests
import json
reqUrl = "http://schedulemanag-test.tclclouds.com/gate/notice/up"
reqParam = "uid=92e931b1-a67b-49e4-aa20-de4c7ae1fa56" \
"&account=18575532874" \
"&account_id=6ea516ed-4886-4e8b-9f28-56602135b891" \
"&type=wechat" \
"&amounts=1" \
"&o... | null | src/main/ATEST/test/mobileTest/api4.py | api4.py | py | 603 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
}
] |
54667132 | # -*- coding: utf-8 -*-
import cv2
# 認識対象ファイルの指定
image_path = "hoge.JPG"
# 認識対象ファイルの読み込み
image = cv2.imread(image_path)
# グレースケールに変換
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# 顔認識用特徴量のファイル指定
cascade_path = "haarcascade_frontalface_alt.xml"
# カスケード分類器の特徴量を取得する
cascade = cv2.CascadeClassifier(cascade_path... | null | face_recognaize.py | face_recognaize.py | py | 1,236 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier"... |
633961405 | import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
from sklearn import linear_model
from sklearn.preprocessing import StandardScaler
data = pd.read_csv('Social_Network_Ads.csv')
df = data
df.head()
print(df.head())
df.info()
data = df.drop(colu... | null | MLPython/TrainingDicoding/venv/bin/supervised/regression/logistic_regression/codelab_logistic_regression.py | codelab_logistic_regression.py | py | 853 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name":... |
361452877 | #%%
"""
Draw graphs for the Toblerone paper from the simulated cortical surface
dataset
"""
import scipy.io as sio
import numpy as np
import matplotlib.pyplot as plt
import os
import os.path as op
savekws = {'dpi': 400, 'bbox_inches': 'tight'}
cmap = np.array(plt.get_cmap('tab10').colors)
#%% Load in the data, ... | null | sim_surfaces/sim_analysis.py | sim_analysis.py | py | 3,544 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "scipy.io.loa... |
494189913 | from netmiko import ConnectHandler
import time
# http://ktbyers.github.io/netmiko/COMMON_ISSUES.html
import logging
logging.basicConfig(filename='test.log', level=logging.DEBUG)
logger = logging.getLogger("netmiko")
cisco_device = {
'device_type': 'cisco_ios',
'host': '10.1.1.10',
'username': 'u... | null | nemiko_troubleshooting.py | nemiko_troubleshooting.py | py | 798 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "netmiko.Connect... |
647332673 | import torch
import torch.nn.functional as F
class CNNMNIST(torch.nn.Module):
"""
Train a CNN with: conv - maxpool - conv - maxpool - fc + relu - fc
Reference: https://github.com/pytorch/examples/blob/master/mnist/main.py
"""
def __init__(self):
super(CNNMNIST, self).__init__()
# i... | null | hw2/.ipynb_checkpoints/cnnMNIST-checkpoint.py | cnnMNIST-checkpoint.py | py | 988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.MaxPool2d",
"... |
40085741 | import requests
import uuid
import json
api_endpoint = "https://graph.microsoft.com/v1.0/"
def api_call(method, end_point_url, token, user_mail, payload=None, parameters=None):
req_id = str(uuid.uuid4())
headers = {
'User-Agent': 'python_tutorial/1.0',
'Authorization': 'Bearer {0}'.format(token),
'Accept': 'a... | null | tutorial/outlookhelper.py | outlookhelper.py | py | 1,927 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "uuid.uuid4",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.delete",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.patch",
"line_num... |
569637224 | import numpy as np
import math
import matplotlib.pyplot as plt
N = 100 # number of samples
a = 0.1 # acceleration
sigmaPsi = 1 # model error variance
sigmaEta = 50 # sensor error variance
x, z = np.zeros(N), np.zeros(N)
z[0] = x[0] + np.random.normal(0, sigmaEta)
for t in range(N - 1):
x[t + 1] ... | null | lectures/lec 04. Data filtering/practice/kalman1d.py | kalman1d.py | py | 1,171 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal"... |
225657142 | from django import forms
from django.core.exceptions import ValidationError
from django.contrib.auth import get_user_model
from topic.models import TopicCategory
User = get_user_model()
def user_validate(username):
if not User.objects.filter(username=username).first():
raise ValidationError('用户不存在... | null | topic/forms.py | forms.py | py | 1,596 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "topic.models.TopicCategory.objects.filter",
"line_number": 14,
"... |
435106559 | import webapp2
import playGame
import scoreBase
import jinja2
import os
from google.appengine.api import users
#Citation: Google App Engine Python Tutorial regarding Jinja
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
... | null | mainMenu.py | mainMenu.py | py | 1,649 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jinja2.Environment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
151833185 | # Copyright 2019 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | null | cirq/experiments/fidelity_estimation.py | fidelity_estimation.py | py | 16,621 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Sequence",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.mean",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "typing.Sequence",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": "numpy.log",
"line_numb... |
85249757 | import datetime as dt
from utils.algorithm.fama.encap import attribution_pri
def main():
args = (
(dt.date(2018, 2, 28), "d", "JR000063"),
(dt.date(2018, 3, 15), "w", "JR000063"), # 基金数据不足的test case
(dt.date(2018, 4, 1), "w", "JR000063"),
)
apis = (attribution_pri.FamaThreeAttr, a... | null | testing/utiltest/algorithm/perf/test_20180607/test_attribution.py | test_attribution.py | py | 769 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.algorithm.fama.encap.att... |
497135420 | import mysql.connector
import datetime
connection = mysql.connector.connect(host="localhost", user="root", passwd="Gautam@4424", database="atm")
cur = connection.cursor()
date_time=datetime.datetime.now()
def withdrawl():
code = int(input("Enter your secret code"))
cur.execute("SELECT * FROM Balance WH... | null | withdral.py | withdral.py | py | 2,255 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 3,
"usage_type": "name"
},
{
"api... |
360073094 | """Show dependencies CCP command.
This module provides logic for execution 'show-dep' command.
This command returns a set of dependencies for specified CCP components.
Usage:
ccp --config-file=<path_to_config> show-dep <component1> <component2> ...
Example:
The following example command will return set of de... | null | fuel_ccp/dependencies.py | dependencies.py | py | 2,075 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fuel_ccp.common.utils.get_deploy_components_info",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "fuel_ccp.common.utils",
"line_number": 36,
"usage_type": "name"
},
... |
360703632 | #!/usr/bin/env python
from __future__ import print_function
import os
from .bash import bash
from .requires import requires_program,requires_version
@requires_program('git')
@requires_version('git>=2')
def sync(**kwargs):
"""
Ensure modules are fresh.
"""
modules = kwargs.pop('modules',{})
current = kwargs.pop('... | null | ortho/modules.py | modules.py | py | 1,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "bash.bash",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bash.bash",
"line_number": 3... |
552723996 | import pytest
from flask import render_template_string
from udata.core.dataset.factories import DatasetFactory, ResourceFactory
import udata_schema_gouvfr.views as schema_views
def render_resource_card(resource):
return render_template_string(
'{{ hook("dataset.resource.card.extra-buttons") }}',
... | null | tests/test_views.py | test_views.py | py | 2,447 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.render_template_string",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template_string",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "udata_schema_gouvfr.views.blueprint",
"line_number": 23,
"usage_type": "attribu... |
162915777 | import json
import os
from threading import Lock
from uuid import uuid4
from flask import request, abort, Response, send_file, session
import common as oddb
import captcha
from callbacks import PostCrawlCallbackFactory
from database import Task, Website
from search.search import InvalidQueryException
from tasks impor... | null | api.py | api.py | py | 9,036 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Lock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
33648962 | import sys
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Activation, normalization, Dropout
from keras.layers.pooling import MaxPooling1D
from keras.layers.core import Flatten, Reshape
from keras.layers.recurrent import LSTM
from keras.layers.convolutional import ... | null | tester.py | tester.py | py | 1,871 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": ... |
94738072 | # -*- coding:utf-8 -*-
from sqlalchemy import Column, String, create_engine, ForeignKey, Table, MetaData
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy.ext.declarative import declarative_base
# 创建对象的基类
Base = declarative_base()
# 定义User对象:
class User(Base):
# 表的名字:
__tablename__ = 'use... | null | my_sqlalchemy.py | my_sqlalchemy.py | py | 1,721 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 16,
"usage_type": "call"
},
{
"ap... |
503500975 | from django.shortcuts import render, redirect, get_object_or_404
from django.views.decorators.csrf import csrf_protect
from django.contrib.auth import *
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.contrib.auth.models imp... | null | user/views.py | views.py | py | 13,090 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 47,
"usage_type": "call"
},
{
... |
486536278 | import logging
import os
from slack_bolt import App
from slack_bolt.oauth.oauth_settings import OAuthSettings
from app.database import (
oauth_state_store,
installation_store,
)
logger = logging.getLogger(__name__)
logging.getLogger("sqlalchemy.engine").setLevel(logging.DEBUG)
user_token = os.environ.get("S... | null | app/app_oauth.py | app_oauth.py | py | 815 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get... |
194752415 | # -*- coding: utf-8 -*-
from kafka import KafkaProducer
from time import sleep
import json, sys
import requests
import time
import tweepy
import sys
import apiKeys
def publish_message(producer_instance, topic_name, value):
try:
key_bytes = bytes('foo', encoding='utf-8')
value_bytes =... | null | tweet_producer.py | tweet_producer.py | py | 3,132 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kafka.KafkaProducer",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tweepy.StreamListener",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "sys.stderr"... |
391945070 | from django.db import transaction
from giantsapp.models import Apply, Personaje, Hermandad, Evento, Subscripcion
__author__ = 'Ruben'
class SubscripcionServicio:
@staticmethod
def create(personajeId, eventId, jugador):
pj = Personaje.objects.filter(id = personajeId)[0]
pjs = Personaje.objects.... | null | giants/giantsapp/services/SubscripcionServicio.py | SubscripcionServicio.py | py | 818 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "giantsapp.models.Personaje.objects.filter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "giantsapp.models.Personaje.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "giantsapp.models.Personaje",
"line_number": 9,
"usage_typ... |
465994604 | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import datetime, os, paramiko, json
import os
import time
import json
from collections import MutableMapping
#from texttable import Texttable
from ansible.module_utils._text import to_bytes
from ansible.plugins.callback import Call... | null | callback_plugins/show_re_switchover_summary.py | show_re_switchover_summary.py | py | 5,391 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
... |
135503748 | from flask import Flask, request, jsonify, abort
from flask_cors import CORS
from werkzeug.utils import secure_filename
import time
import numpy
import os
#Code to import EmailFilter class
import sys
module_path = os.path.join(os.path.expanduser("~"), "ShellPrivacyFilterDemo", "backend")
sys.path.append(module_path)
f... | null | backend/api/api.py | api.py | py | 2,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
92980700 | """
This script consumes data from Wikipedia and a Google RSS feed.
Then it fills a template with that data and updates a Reddit submission.
"""
import xml.etree.ElementTree as ET
from datetime import datetime
import praw
import requests
from bs4 import BeautifulSoup
import config
HEADERS = {
"User-Agent": "Moz... | null | coronabot/bot.py | bot.py | py | 8,255 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "praw.Reddit",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "config.APP_ID",
... |
254436972 | from Crypto import Random
from Crypto.Cipher import AES
from Crypto.Util import Counter
from Crypto.Util.Padding import pad, unpad
import os
import time
def onekb():
s = time.clock()
key = os.urandom(16)
print((time.clock()-s)*10**6)
def enckb(ip, key ,key_size=128):
ip = ip + b"\0" * (AES.block_si... | null | b/hw31b.py | hw31b.py | py | 2,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.clock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.clock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Crypto.Cipher.AES.block_size",
"l... |
549946998 | import glob
import logging
import os
import shutil
import subprocess
import sys
import tempfile
import time
import unittest
TEST_ROOT = os.path.abspath(os.path.dirname(__file__))
TEST_PROJECTS = os.path.join(TEST_ROOT, "test_projects")
MAKEENV_ROOT = os.path.abspath(os.path.dirname(os.path.dirname(TEST_ROOT)))
log ... | null | makeenv/test/cases.py | cases.py | py | 6,644 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
100201337 | from django.conf.urls import url
#app_name = 'bu_app'
from .bu_app_views.course import AllCoursesList, CreateCourse, CourseView, EditSection, deleteSection, \
custom_login, logout_view
from .bu_app_views.learningplan import my_learning_plan, browse_all_learning_plans,\
CreateLearningPlan, get_the_lea... | null | bu/bu_app/urls.py | urls.py | py | 2,140 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bu_app_views.course.custom_login",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "django.conf.urls.url",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
12834391 | #!/usr/bin/env python
"""
Script for determining activity levels of a repo
Going through the last years of commits for the last active week
And barring that reporting the github updated_at which might be much earlier than
a year. And finally created_at so we know who old things are.
Used to help determination for arc... | null | repo_activity.py | repo_activity.py | py | 8,603 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stderr.write",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.flush",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"l... |
375572130 | import os
from decimal import Decimal, getcontext, ROUND_UP
from typing import List
from celery import Celery
from celery.utils.log import get_task_logger
import requests
from backend.apps.exchange import CurrencyDatabase
celery = Celery()
log = get_task_logger(__name__)
getcontext().prec = 2
getcontext().rounding... | null | backend/apps/tasks.py | tasks.py | py | 2,090 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "celery.Celery",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "decimal.getcontext",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dec... |
470763003 | import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
import json
import numpy as np
import plotly
from dash.dependencies import Input, Output, State
import itertools
import seaborn as sns
import plotly.graph_objs as go
from copy import deepcopy
import subprocess
import pandas... | null | apps/app_interactive_genomes.py | app_interactive_genomes.py | py | 10,586 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "myscripts.neighbourhood_reshape.neighbourhood_reshape",
"line_number": 33,
"usage_type": "call"
},
{
... |
92357281 | """
Base view
"""
import uuid
import base64
from ..views import DEFAULT_LIBRARY_NAME_PREFIX, DEFAULT_LIBRARY_DESCRIPTION, \
USER_ID_KEYWORD
from flask import request, current_app
from flask_restful import Resource
from ..models import User, Library, Permissions
from ..client import client
from sqlalchemy.exc impor... | null | biblib/views/base_view.py | base_view.py | py | 10,592 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_restful.Resource",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "base64.urlsafe_b64encode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger.info",
"line_number": 38,
"usage_type": "call"
},
{
"api... |
195157807 | import pygame
import time
import random
pygame.init()
displayWidth = 1280
displayHeight = 720
gridWidth = 5
gridHeight = 5
gridMargin = 1
black = (0,0,0)
white = (255,255,255)
red = (200,0,0)
green = (0,200,0)
brightRed = (255,0,0)
brightGreen = (0,255,0)
gameDisplay = pygame.display.set_mode((... | null | conway.py | conway.py | py | 5,809 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
356732118 | import tensorflow as tf
import numpy as np,os,dicom,sys
from scipy import misc
import dicom
import matplotlib.pyplot as plt
from skimage.measure import compare_psnr
from skimage.restoration import (denoise_tv_chambolle, denoise_bilateral,
denoise_wavelet, estimate_sigma)
import shutil
n... | null | l_Super_Resolution_DICOM/b2.py | b2.py | py | 9,993 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensor... |
621033102 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 11 19:06:16 2019
@author: PWL
"""
# Importing the libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#Importing the dataset
dataset = pd.read_csv('Position_Salaries.csv')
X = dataset.iloc[:, 1:2].values
y = dataset.iloc[:, 2].v... | null | Python/Regression/Polynomial_Regression/polynomial_regression.py | polynomial_regression.py | py | 1,060 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": ... |
551517765 | from django.shortcuts import render
from django.http.response import JsonResponse
from rest_framework.parsers import JSONParser
from rest_framework import status
from stopwatchr.models import users, stocks
from stopwatchr.serializers import UsersSerializer, StocksSerializer
from rest_framework.decorators import api... | null | stopwatchr/views.py | views.py | py | 4,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "stopwatchr.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "stopwatchr.models.users.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "stopwatchr.models.users.objects",
"line_number": 15,
"usage_type": "attribute"
},... |
404983798 | import seaborn as sns
import matplotlib as mpl
import numpy as np
## Allows for easy text manipulation in illustrator by changing this
mpl.rcParams['pdf.fonttype'] = 42
import matplotlib.pyplot as plt
import pandas as pd
font = {'family' : 'Arial',
'weight' : 'bold',
'size' : 14}
mpl.rc('font',**font)... | null | Seaborn_Graphing/DCG_Utilities.py | DCG_Utilities.py | py | 840 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rc",
"line_number": 13,
"usage_type": "call"
}
] |
79395870 | #!/usr/bin/env python3
import os
import sys
import argparse
from PyQt4 import QtGui
sys.path.append(os.path.join(os.path.dirname(__file__),'lib'))
from pygui.main_window import MainWindow
def get_program_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("--seed", type=int,help="Pseudo-ran... | null | rungui.py | rungui.py | py | 648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
253457025 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('industrias', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Grupo',
fields=[
... | null | produtos/migrations/0001_initial.py | 0001_initial.py | py | 3,059 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
371860530 | import streamlit as st
import tensorflow as tf
import os
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from sklearn.metrics import accuracy_score
import wget
import zipfile
class_names = ["COVID-19", "Normal", "Pneumonia"]
@st.cache(suppress_st_warning=True)
def predict(model_path):
tes... | null | app.py | app.py | py | 2,318 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 45,
"usage_t... |
294223868 | import uuid
import time
import requests
from decimal import *
class Client(object):
def __init__(self, url, public_key, secret):
self.url = url + "/api/2"
self.session = requests.session()
self.session.auth = (public_key, secret)
def get_symbol(self, symbol_code):
"""Get symb... | null | test/hitbtc.py | hitbtc.py | py | 9,431 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number... |
247697434 | from django.conf.urls import url
from . import views
from rest_framework.urlpatterns import format_suffix_patterns
urlpatterns = [
url(r'^mywall/$', views.WallList.as_view(), name='wall'),
url(r'^fellowship/(?P<action>[a-zA-Z]+)/(?P<username>[a-zA-Z]+)/$', views.FollowingApi.as_view(), name='following'),
url(r'^fav... | null | api/urls.py | urls.py | py | 1,909 | python | en | code | null | code-starcoder2 | 66 | [
{
"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... |
178431284 | import sys
import pandas as pd
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""
Loading messages and categories from `.csv`-files.
Args:
messages_filepath: path to `.csv`-file of messages
categories_filepath: path to `.csv`-file of categories... | null | process_data.py | process_data.py | py | 3,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line... |
370378712 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
处理文件
"""
import os,sys
import hashlib
import requests
class DownloadFile(object):
def __init__(self, config):
if 'app_dir' in config:
sel.app_dir = config['app_dir']
else:
self.app_dir = 'joke'
if 'res' in ... | null | joke/spider/file.py | file.py | py | 1,529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"li... |
106543520 | # ---
# jupyter:
# jupytext:
# formats: py:light,ipynb
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.10.3
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # CSV
#
# Reading, wri... | null | io/pand.py | pand.py | py | 5,170 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 115,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
577293707 | #--- ----------------------------------------------------------------------------
# Name: server
# Purpose:
#
# Author: achamara
#
# Created: 09/01/2013
# Copyright: (c) achamara 2013
# Licence: <your licence>
#-------------------------------------------------------------------------------
#!/usr/... | null | server.py | server.py | py | 1,058 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "http.server.SimpleHTTPRequestHandler",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "http.server.HTTPServer",
"line_number": 23,
"usage_type": "name"
},
{
... |
165121445 | #!/usr/bin/env python3
import asyncio
async def worker(lock):
async with lock:
print("Successfully acquired the lock")
await asyncio.sleep(3)
print("Releasing lock")
async def main():
lock = asyncio.Lock()
tasks = [worker(lock) for _ in range(12)]
await asyncio.gather(*(tasks)... | null | Python Tests/asyncio/asyncio_lock.py | asyncio_lock.py | py | 371 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncio.Lock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_numb... |
22911704 | import os
import sys
import itertools
dry_run = '--dry-run' in sys.argv
clear = '--clear' in sys.argv
local = False #'--local' in sys.argv
double_book = False #'--double-book' in sys.argv
if not os.path.exists("slurm_logs"):
os.makedirs("slurm_logs")
if not os.path.exists("slurm_scripts"):
os.makedirs("slurm_... | null | runner_pixels.py | runner_pixels.py | py | 6,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
550263535 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('registrar', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Student',
fields=[
... | null | PycharmProjects/reg/reg/registrar/migrations/0002_student.py | 0002_student.py | py | 766 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
69170844 | import cv2
import numpy as np
from hdr_enhance.wls_filter import wlsFilter
from hdr_enhance.srs import SRS
from hdr_enhance.virtual_ev import VIG
from hdr_enhance.tonemap import tonemap
from hdr_enhance.anisotropic import anisodiff
class FakeHDR:
def __init__(self, flag):
self.weighted_fusion = flag
... | null | test/hdr_saved___REPLACE.py | hdr_saved___REPLACE.py | py | 2,346 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hdr_enhance.wls_filter.wlsFilter",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "hdr_enhance.srs.SRS",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "hdr_enhance.virtual_ev.VIG",
"line_number": 16,
"usage_type": "name"
},
{
"a... |
561111778 | # coding=utf-8
# Copyright 2018 The TF-Agents Authors.
#
# 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... | null | tf_agents/bandits/policies/linear_thompson_sampling_policy.py | linear_thompson_sampling_policy.py | py | 6,099 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow_probability.distributions",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.transpose",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tf_agents.bandits.policies.linalg.conjugate_gradient_solve",
"line_number": 40... |
369901535 | import os
import imageio
import numpy as np
from PIL import Image
import PIL.ImageDraw as ImageDraw
# import matplotlib.pyplot as plt
def image_with_episode_number(frame, episode_num=None, step_num=None):
im = Image.fromarray(frame)
drawer = ImageDraw.Draw(im)
if np.mean(im) < 128:
text_colo... | null | scripts/gym_env/box2d/utils.py | utils.py | py | 1,126 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.fromarray",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
... |
154098118 | import json
from stellar_base.address import *
from stellar_base.builder import Builder
from wrapper.client import Client
def op(source, destination, amount):
builder = Builder(secret=source)
builder.append_payment_op(destination=destination,amount=amount)
builder.sign()
builder.submit()
# master ... | null | unit_tests/test_generate_key_pairs.py | test_generate_key_pairs.py | py | 1,849 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "stellar_base.builder.Builder",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wrapper.client.Client",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 41,
"usage_type": "call"
}
] |
556490194 |
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import csv
import matplotlib.pyplot as plt
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn import ensemble
# In[2]:
"Loading train.csv file"
print('Loading data from train.csv file...') #... | null | scripts/ali/ali04_empty_fill_option1_decisiontree/ali04_decisiontree.py | ali04_decisiontree.py | py | 2,557 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.factorize",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.Ext... |
121464113 | from sqlalchemy import Column, DateTime, Numeric, String
import sqlalchemy
import sqlalchemy.ext.hybrid
import pyrob.table
from lxml import etree
import logging
from datetime import datetime
log = logging.getLogger(__name__)
class MibLabel(pyrob.table.Common, pyrob.table.Base):
__tablename__ = 'T_NW_EQUIP_DWDM_MI... | null | pyrob/schema/ipact_stg/dwdm/mib_label.py | mib_label.py | py | 2,644 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyrob.table.table",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pyrob.table",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column... |
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