content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import os
from time import sleep
import requests
querysub0 = 'https://linkeddata1.calcul.u-psud.fr/sparql?default-graph-uri=&query=construct%7B+%3Fs+%3Fp+%3Fo%7D+where+%7B+%0D%0Aselect+distinct+%3Fs+%3Fp+%3Fo+where+%7B%0D%0A%7B%0D%0A%3Fs1+++%3Chttp%3A%2F%2Fyago-knowledge.org%2Fresource%2FactedIn%3E+++%3Fs+.%0D%0A%3Fs2... | [
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... | 1.877612 | 670 |
'''
Created on Apr 12, 2011
@author: svenkratz
'''
import TestGestures
import Protractor3D.Protractor3D
from Protractor3D.Protractor3D import *
triangle = triplify(TestGestures.Triangle)
print triangle
circle1 = triplify(TestGestures.Circle_1)
circle2 = triplify(TestGestures.Circle_2)
rectangle = triplify(TestG... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# @Author: Jos Snchez-Gallego (gallegoj@uw.edu)
# @Date: 2021-03-24
# @Filename: test_hal.py
# @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause)
import pytest
from hal import __version__
pytestmark = [pytest.mark.asyncio]
| [
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15... | 2.328125 | 128 |
import numpy as np
if __name__ == '__main__':
with open('input.txt') as f:
pin = np.array([int(x) for x in f.read().split(',')])
distances = np.abs(pin[None, :] - np.arange(pin.max() + 1)[:, None])
total_fuel = np.sum(distances, axis=1)
print(f'Solution 1: {total_fuel.min()}')
distances... | [
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220,
220,
220,
220,
220,
220,
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6757,
796,
... | 2.242424 | 198 |
# Generated by Django 2.2.10 on 2020-05-18 10:49
from django.db import migrations
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1330,
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628
] | 2.8 | 30 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import numpy as np
from torchvision import datasets, transforms
import logging
import random
import torch
# Settings for a multiplicative linear congruential generator (aka Lehmer
# generator) suggested in 'Random Number Generators: Good
# Ones ... | [
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3... | 2.035028 | 5,310 |
#! /usr/bin/python3
# Author: gaurav512
''' Script written to scrape basic information about a
Codeforces profile given the user id
Usage: Enter the userid as command line argument OR as the input
after running the following in terminal- python3 codeforces.py [userid]
'''
import requests, bs4, sys
if __name__ =... | [
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2... | 3.166667 | 108 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# test_combinator.py
#
# Copyright 2020 QuatroPe
#
# This file is part of ProperImage (https://github.com/quatrope/ProperImage)
# License: BSD-3-Clause
# Full Text: https://github.com/quatrope/ProperImage/blob/master/LICENSE.txt
#
"""
test_combinator module from Proper... | [
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... | 2.692308 | 195 |
'''
parameter
---------
df:woe,logit
logitsklearn,
return
------
Score
example:
df= cal_score(df,logit)
'''
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#! /usr/bin/env python3
"""
Runs process_logdata_ekf.py on the .ulg files in the supplied directory. ulog files are skipped from the analysis, if a
corresponding .pdf file already exists (unless the overwrite flag was set).
"""
# -*- coding: utf-8 -*-
import argparse
import os, glob
from process_logdata_ekf import p... | [
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... | 3.056452 | 124 |
import inspect
import warnings
from pathlib import Path
| [
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198
] | 4.461538 | 13 |
# Python
import logging
from os import path
# Abstract
from genie.abstract import Lookup
# Parser
from genie.libs import parser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
# unicon
from unicon.eal.dialogs import Statement, Dialog
log = logging.getLogger(__name__)
def save_device_informatio... | [
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13,... | 2.316143 | 1,338 |
import matplotlib.pyplot as plt
import numpy as np
from labellines import labelLines
# # Trying to get interpolation to work but getting error:
# # ValueError: The number of derivatives at boundaries does not match: expected 1, got 0+0
# from scipy.interpolate import make_interp_spline, BSpline
# n_users = np.array([1... | [
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2,
13... | 2.357717 | 1,244 |
# import the necessary packages
import argparse
import cv2
import numpy as np
from polydomino.colordescriptor import ColorDescriptor
from polydomino.searcher import Searcher
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument(
"-i",
"--index",
required=T... | [
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198,
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3438,
2879,
13,
4033,
585,
3798,
1968,
273,
1330,
5315,
24564,
1968,
273,
198,
6738,
7514,
343... | 2.828854 | 707 |
import click
from irekua_dev_tools.utils import load_config
from irekua_dev_tools.utils import get_working_directory
from irekua_dev_tools.utils import load_environment_variables
from irekua_dev_tools.utils import load_repository_info
from . import git
from . import dev
from . import config
from . import db
from .ex... | [
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62,
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62,
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198,
6738,
35918,
74,
6413,
62,
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... | 2.980769 | 156 |
from optimism.JaxConfig import *
from optimism import MinimizeScalar
from optimism.test import TestFixture
from optimism.material import J2Plastic
df = jacfwd(f)
if __name__ == '__main__':
TestFixture.unittest.main()
| [
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330,... | 2.829268 | 82 |
# -*- coding: utf-8 -*-
"""
import datetime
from anima import defaults
defaults.timing_resolution = datetime.timedelta(minutes=10)
from anima.ui import SET_PYSIDE2
SET_PYSIDE2()
from anima.ui.widgets.review import APPROVE, REQUEST_REVISION
from anima.ui import review_dialog
review_dialog.UI(review_type=REQUEST_REVIS... | [
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7,
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28,
... | 2.858108 | 296 |
import math
import re
from itertools import permutations
from logging import getLogger
from typing import Tuple, Union
from rpy2 import robjects
from rpy2.rinterface_lib.embedded import RRuntimeError
from z3 import BitVecVal
from .. import util, results
from ..decider import RowNumberInfo
from ..program import LineIn... | [
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... | 3.479675 | 123 |
# -*- coding: utf-8 -*-
"""
------ What is this file? ------
This script targets the istanbul_airbnb_raw.csv file. It cleans the .csv
file in order to prepare it for further analysis
"""
#%% --- Import Required Packages ---
import os
import pathlib
from pathlib import Path # To wrap around filepaths
impor... | [
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31971,
62,
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2393,
13,
632,
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262,
... | 2.301676 | 3,401 |
import time
import select
import queue
import atexit
import sys
import logging
from networkdevice import ShureNetworkDevice
from channel import chart_update_list, data_update_list
# from mic import WirelessMic
# from iem import IEM
NetworkDevices = []
DeviceMessageQueue = queue.Queue()
# @atexit.register
# atex... | [
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19... | 3.149254 | 134 |
import enum
QUEUED = Status.QUEUED
STARTED = Status.STARTED
FINISHED = Status.FINISHED
ERROR = Status.ERROR
| [
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1... | 2.595238 | 42 |
"""Simulation 1:1:1 comptition binding"""
import numpy as np
from high_accuracy_binding_equations import *
# We can choose to work in a common unit, typically nM, or uM, as long as all
# numbers are in the same unit, the result is valid. We assume uM for all
# concentrations bellow.
# First, lets simulate a few sin... | [
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257,
... | 3.111465 | 314 |
import numpy as np
from pathlib import Path
import sys
if __name__ == '__main__':
# absolute path
my_path = Path(__file__).parent.resolve().expanduser()
main_path = my_path.parent.parent
seed = 0
nlat = 10
alpha = 1.0
beta = 6.0
gamma = 1.0
epochs = 100
# cmd... | [
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201,
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19... | 1.9325 | 400 |
##########################################################################
#
# Unit tests (pytest) for load.py
#
##########################################################################
# SimFin - Simple financial data for Python.
# www.simfin.com - www.github.com/simfin/simfin
# See README.md for instructions and LI... | [
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2,
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1366,
329,
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198,
2,
7324,
13,
14323,
15643,
13,
... | 2.746084 | 1,213 |
import sys
from plum import Dispatcher
B = sys.modules[__name__] # Allow both import styles.
dispatch = Dispatcher() # This dispatch namespace will be used everywhere.
from .generic import *
from .shaping import *
from .linear_algebra import *
from .random import *
from .numpy import *
from .types import *
from ... | [
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2... | 3.125874 | 143 |
# coding: utf-8
from nbgrader.api import Gradebook
from nbgrader.apps import ExportApp as BaseExportApp
from traitlets import Instance
from traitlets import Type
from traitlets import default
from ..plugins import CanvasCsvExportPlugin
from ..plugins import CustomExportPlugin
aliases = {
"log-level": "Applicatio... | [
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19... | 2.938596 | 228 |
"""
django_ocr_server/conf.py
+++++++++++++++++++++++++
The settings manager for **django_ocr_server**.
Usage:
.. code-block:: python
from django_ocr_server.conf import ocr_settings
# Next line will print a value of **OCR_TESSERACT_LANG**
# using the variable from the Django's *settings.py* file
# if the variab... | [
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13,
198,
198,
28350,
25,
198,
198,
492,
2438,
12,
9967,
3712,
... | 3.098859 | 263 |
from django.apps import AppConfig
| [
6738,
42625,
14208,
13,
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1330,
2034,
16934,
198
] | 3.777778 | 9 |
import math
import numpy as np
from openeye import oechem
from torsion.inchi_keys import get_torsion_oeatom_list, get_torsion_oebond
def GetPairwiseDistanceMatrix(icoords, jcoords):
'''
input: two sets of coordinates, icoords, jcoords; each of which are a list
of OEDoubleArray(3) containing x, y, a... | [
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299,
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62,
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11,
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295,
... | 2.098945 | 1,991 |
""" Candidate generation & LTR Learning to Ranking"""
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import argparse
from operator import itemgetter
from math import sqrt
import pandas as pd
import pymysql
from ... | [
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11... | 2.591255 | 526 |
from datetime import timedelta
from airflow import DAG
from airflow.utils.dates import days_ago
from airflow.operators.python_operator import PythonOperator
from tweetstream.consumers.twitter_streaming import TwitterStreamingConsumer
from tweetstream.clients.spark import SparkClient
default_args = {
"owner": "twee... | [
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55... | 2.71885 | 313 |
from polyphony import testbench
test()
| [
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] | 3.636364 | 11 |
#!/usr/bin/python
from setuptools import setup, find_packages
from codecs import open
with open('README.rst', 'r', 'utf-8') as fd:
long_description = fd.read()
setup(name='ipynb_format',
version='0.1.1',
description='A code formatter for python code in ipython notebooks',
long_description=long_... | [
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12,
... | 2.348115 | 451 |
# -*- coding: utf-8 -*-
feet = eval(input("Enter a value for feet: "))
meter = feet * 0.305
print (feet, "feet is %.4f meters" %(meter))
| [
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36... | 2.413793 | 58 |
from mxnet import gluon
from mxnet.gluon import HybridBlock
from ceecnet.nn.layers.conv2Dnormed import *
from ceecnet.utils.get_norm import *
from ceecnet.nn.layers.attention import *
# ======= Definitions for CEEC unit v2 (replace concatenations with Fusion =========================
# -----------------------... | [
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... | 4.705357 | 112 |
from django.db.models import Q
from haystack import indexes
from reviewboard.reviews.models import ReviewRequest
| [
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] | 3.965517 | 29 |
from .statement import Statement, StatementType
from .event import Event
from ._helpers import debugmsg, simulation_error
| [
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] | 4.518519 | 27 |
REDIS_URL = "redis://redis:6379/0"
DEBUG = True
TESTING = False
JOBS = [
{
'id': 'actoken_refresh',
'func': 'actoken:refresh',
'args': None,
'trigger': 'interval',
'seconds': 7000
}
]
| [
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220,
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220,
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198,
220,
220,
220,
220,
220,... | 1.918033 | 122 |
from shutil import copy, copytree, rmtree
import pathlib
import os
import time
def update():
"""Update is a script to auto update all the files that the user is using"""
print('Warehouse Hub is updating, do not close this window...')
time.sleep(3)
print('Applying patch...')
time.sleep(1)
c... | [
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3... | 2.873518 | 253 |
import functools
import tensorflow as tf
from core import trainer_video, input_reader
from core.model_builder import build_man_model
from google.protobuf import text_format
from object_detection.builders import input_reader_builder
from object_detection.protos import input_reader_pb2
from object_detection.protos import... | [
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... | 2.601371 | 1,021 |
# -*- coding: utf-8 -*-
| [
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] | 1.785714 | 14 |
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 17 23:01:40 2018
@author: pc
"""
import scholarly,re,urllib.request,nltk
import bs4 as bs
# =============================================================================
# #Problme les derniere conf ne se rajoute pas
# ========================================... | [
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#!/usr/bin/env python3
"""
Main code for Robot
"""
import wpilib
import robotmap
from wpilib import Joystick
from subsystems.drivetrain import DriveTrain as Drive
from subsystems.grabber import cubeGrabber
from subsystems.elevator import Elevator
from subsystems.climber import Climber
from subsystems.autonomous import... | [
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1... | 3.255034 | 149 |
#!/usr/bin/env python3
"""
ATTOM API
https://api.developer.attomdata.com
"""
import requests
from urllib.parse import quote, urlencode
from api import api
PATH = "attomavm/detail"
def get_avm_by_address(number_street, city_state):
"""
API request to get attomavm/detail
"""
params = urlencode(
{
"add... | [
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import django
from django.db import models
from django.db.models.base import ModelBase
from django.utils import six
from .manager import IdMapManager
from . import tls # thread local storage
META_VALUES = {
'use_strong_refs': False,
'multi_db': False
}
| [
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... | 2.977778 | 90 |
from unittest import TestCase
from search_in_rotated_sorted_array import Solution
| [
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] | 3.5 | 24 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 3rd party imports
import numpy as np
import xarray as xr
__author__ = "Louis Richard"
__email__ = "louisr@irfu.se"
__copyright__ = "Copyright 2020-2021"
__license__ = "MIT"
__version__ = "2.3.7"
__status__ = "Prototype"
def ts_skymap(time, data, energy, phi, theta, **... | [
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81,
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198,
... | 2.130324 | 1,174 |
'''
Author: Alex Wong <alexw@cs.ucla.edu>
If you use this code, please cite the following paper:
A. Wong, and S. Soatto. Unsupervised Depth Completion with Calibrated Backprojection Layers.
https://arxiv.org/pdf/2108.10531.pdf
@inproceedings{wong2021unsupervised,
title={Unsupervised Depth Completion with Calibrate... | [
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... | 2.202162 | 925 |
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next | [
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220,
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220,
220,
220,
220,
... | 2.272727 | 66 |
import time
import re
import tweepy
import preprocessor as p
import config
import string
consumer_key = config.consumer_key
consumer_secret = config.consumer_secret
access_token = config.access_token
access_token_secret = config.access_token_secret
bearer_token = config.bearer_token
username = config.username
password... | [
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... | 2.740741 | 783 |
# Generated by Django 2.0.3 on 2018-03-14 09:59
from django.db import migrations, models
| [
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13,
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1330,
15720,
602,
11,
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628
] | 2.84375 | 32 |
import tensorflow as tf
import numpy as np
from tensorflow.python.ops.gen_batch_ops import batch
from model import AudioClass
from qrnn import QRNN
from numpy.random import seed
from numpy.random import randn
from random import randint
from lstmfcn import LSTM_FCN
import librosa
import os
if __name__ == "__main__":
... | [
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2746,
1330,
13491,
9487,
198,
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10662,
81,
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13... | 3.084112 | 107 |
from pytanga.components import AbstractComponent
| [
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83,
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13,
5589,
3906,
1330,
27741,
21950,
628,
198
] | 4.25 | 12 |
import math
from typing import List, Tuple
if __name__ == '__main__':
solucao_problema()
| [
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220,
220,
1540,
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62,
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903,
2611,
3419,
198
] | 2.560976 | 41 |
from pymongo import MongoClient
import pymongo
from datetime import datetime,time
import time
from bson.code import Code
mongo_client=MongoClient('mongodb://localhost:27017/')
db=mongo_client.mydb
db_col=db.things
dbc = mongo_client.mydb.things
print mongo_client
print(db)
print("connected")
data = dbc.find()
... | [
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1... | 2.631918 | 777 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
serialize
provide means to persist and recreate the currently known
set of W_Tags and all shapes and transformations reachable
from there.
The rmarshal modules is used for serialization; the format is
marshal_proto = (
int, # number of shapes
[ # shape list
... | [
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284,
21160,
290,
32049,
262,
3058,
1900,
198,
2617,
286,
370,... | 2.238052 | 3,306 |
from web3 import Web3, HTTPProvider
import json
import os
w3 = Web3(HTTPProvider("http://127.0.0.1:7545",
request_kwargs={'timeout': 60}))
print(f"Web3 is connected : {w3.isConnected()}")
accounts = w3.eth.accounts
# ------------------------------- get contract ------------------------------- ... | [
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2... | 2.922581 | 465 |
from preprocessing import preprocess
from approach1_rulebased import get_predictions_rulebased
from approach2_machine_learning import get_predictions_ml
from bertopic_clustering import cluster_precursors
def main():
'''Main function to use from commandline, preprocess input to generate embeddings, detect agr... | [
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8... | 3.381148 | 244 |
from tkinter import *
import threading
import sql_manager as ss
g=GUI()
| [
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220,
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2... | 2.088889 | 45 |
import sys
OPERATIONS = {
'addr': lambda a, b, c, registers: registers[a] + registers[b],
'addi': lambda a, b, c, registers: registers[a] + b,
'mulr': lambda a, b, c, registers: registers[a] * registers[b],
'muli': lambda a, b, c, registers: registers[a] * b,
'banr': lambda a, b, c, registers: registers[a] ... | [
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11,
269,
... | 2.605911 | 406 |
from aiohttp import web
from agents import Agent
if __name__ == "__main__":
webserver = WebServer("127.0.0.1", 8080, "/ws")
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160... | 2.64 | 50 |
from wazimap.data.tables import FieldTable
# Define our tables so the data API can discover them.
# Household tables
FieldTable(['rural population'], universe='Population', table_per_level=False)
FieldTable(['area', 'sex'], universe='Population', table_per_level=False)
FieldTable(['census_year', 'measure'], universe... | [
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11... | 2.964325 | 1,822 |
import os
import asyncio
import logging
from pony.orm import *
import logger
from database import start_orm, get_biggest_virgin, Guild, Virgin
logger = logging.getLogger('virginity-bot')
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
| [
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... | 3.010417 | 96 |
import os
import shutil
from .base import GnuRecipe
| [
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] | 3.533333 | 15 |
import os
import sys
import berserk
from github import Github, InputFileContent, Gist
SEPARATOR = "."
PADDING = {"puzzle": 0, "crazyhouse": 0, "chess960": 0,
"kingOfTheHill": 0, "threeCheck": 2, "antichess": 0, "atomic": 0, "horde": 0, "racingKings": 0,
"ultraBullet": 0, "blitz": 1, "classical"... | [
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... | 2.070423 | 568 |
"""empty message
Revision ID: 60c735df8d2f
Revises: 88bb7e12da60
Create Date: 2019-09-06 08:27:03.082097
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "60c735df8d2f"
down_revision = "88bb7e12da60"
branch_labels = None
depends_on = None
| [
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... | 2.430894 | 123 |
import scipy.io.wavfile as wav
import numpy as np
import os
import pickle
import random
import operator
from python_speech_features import mfcc
dataset = []
training_set = []
test_set = []
# Get the distance between feature vectors
# Find Neighbors
# Identify the Nearest Neighbor (Genres)
# Model Evaluation to... | [
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53... | 2.924084 | 382 |
import argparse
from libs.data_model import AnchorNorthstarDataframe, SalesForceDataframe, \
AnchorSalesforceAccountsDataframe, AnchorSalesforceContactsDataframe
from libs.utils import save_dataframes_to_excel
parser = argparse.ArgumentParser(description='Reconcile accounts and contacts between Anchor and Salesfo... | [
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bill() | [
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] | 2 | 4 |
test = { 'name': 'q3b1',
'points': 2,
'suites': [ { 'cases': [ { 'code': '>>> 4 <= '
"sum(list(X1.describe().loc['mean'])) "
'<= 9\n'
'True',
... | [
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1... | 1.32807 | 570 |
"""Scanpy's high-level API provides an overview of all features relevant to pratical use::
import scanpy.api as sc
.. raw:: html
<h3>Preprocessing tools</h3>
Filtering of highly-variable genes, batch-effect correction, per-cell (UMI) normalization, preprocessing recipes.
.. raw:: html
<h4>Basic Preproc... | [
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... | 2.475649 | 1,232 |
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from .modeling_albert import AlbertPreTrainedModel, AlbertLayerNorm, AlbertLayerGroup
from .modeling_bert import BertEmbeddings
from .modeling_highway_bert import BertPooler
import numpy as np
| [
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... | 3.426829 | 82 |
# Copyright 2020 Kapil Thangavelu
#
# 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,... | [
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1... | 3.897436 | 156 |
import json
import os
import sys
sys.path.append('/usr/lib/python2.7/dist-packages')
import cv2
import numpy as np
from tqdm import *
import dataset_utils
| [
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import numpy as np
from scipy.constants import mu_0, epsilon_0
import matplotlib.pyplot as plt
from PIL import Image
import warnings
warnings.filterwarnings('ignore')
from ipywidgets import interact, interactive, IntSlider, widget, FloatText, FloatSlider, fixed
from .Wiggle import wiggle, PrimaryWave, ReflectedWave
i... | [
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14... | 3.819672 | 183 |
data = (
'bols', # 0x00
'bolt', # 0x01
'bolp', # 0x02
'bolh', # 0x03
'bom', # 0x04
'bob', # 0x05
'bobs', # 0x06
'bos', # 0x07
'boss', # 0x08
'bong', # 0x09
'boj', # 0x0a
'boc', # 0x0b
'bok', # 0x0c
'bot', # 0x0d
'bop', # 0x0e
'boh', # 0x0f
'bwa', # 0x1... | [
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... | 1.408094 | 3,558 |
from social_core.backends.azuread import AzureADOAuth2
| [
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] | 3.055556 | 18 |
# Copyright (c) 2012 Israel Herraiz <isra@herraiz.org>
# 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
# without limitation the rights to use, copy, modify, me... | [
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290... | 3.762987 | 308 |
import traceback
from typing import Optional
from .i18n import _
| [
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import sys
import csv
import requests
from parsel import Selector
from scraper.parser import get_features_from_item
start_url = 'http://www.world-art.ru/animation/rating_top.php'
SIGN_STDOUT = '-'
FORMAT_CSV = 'csv'
FORMAT_JL = 'jl'
def parse(url: str, out_path: str, out_format: str):
"""
gets link and ret... | [
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from __future__ import print_function
import os
import sys
import serial.tools.list_ports
from PyQt4 import QtCore
from PyQt4 import QtGui
from photogate_ui import Ui_PhotogateMainWindow
from photogate_serial import PhotogateDevice
from photogate_serial import getListOfPorts
import dependency_hack
try:
import scipy... | [
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72... | 2.903525 | 539 |
from core import Variable
from operation import *
a = Variable(2)
b = square(a)
c = square(b)
print(c.data)
| [
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] | 2.780488 | 41 |
name = 'sharepoint'
from .sharepoint import SharePointSite
__author__='James Classen'
__version__='0.0.2' | [
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] | 2.944444 | 36 |
# Copyright 2015 The Offline Content Packager Authors. 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 requi... | [
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... | 3.716049 | 243 |
from pathlib import Path
from pyspark.sql import SparkSession, functions as f
from pyspark.sql.dataframe import DataFrame
# Monkeypatch in case I don't use Spark 3.0
DataFrame.transform = transform
# Sample/demo purposes
mpns_v8_name_relationships_filepath: str = (
"data/analysis/mpns/sample_mpns_v8/name... | [
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3... | 2.595568 | 361 |
# -*- coding: utf-8 -*-
"""
Created on Wed May 23 16:56:57 2018
@author: tommy_mizuki
"""
import my_library
my_func(1,2) | [
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62... | 2.214286 | 56 |
n = int(input())
count = 0
number = 0
while True:
if '666' in str(number): # '666' count .
count += 1
if count == n: #count print -> n
print(number)
break
number += 1 | [
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""" plot request rate
"""
import os, sys
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), "../"))
from utils.common import *
if __name__ == "__main__":
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("--trace", type=str, help="trace path")
ap.add_argument("--type", t... | [
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834,... | 2.697561 | 205 |
import os
import redis
import logging
config = {
'development': DevelopmentConfig,
'production': ProductionConfig,
'default': DevelopmentConfig
}
| [
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... | 3.232143 | 56 |
import tensorflow as tf
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.platform import tf_logging as logging
from tensorflow.python.training import saver as tf_saver
def average_gradients(tower_grads):
"""Calculate the average gradient for each shared variable across all towers.
Note t... | [
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... | 2.576271 | 1,652 |
from dataclasses import dataclass
from typing import List
from paralleldomain.model.annotation.common import Annotation
from paralleldomain.model.annotation.polyline_2d import Polyline2D
| [
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13,
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35428... | 3.653846 | 52 |
import os
import shutil
import sys
from maplist import installed_games
backup_dir = "F:/bsps"
if len(sys.argv) == 2:
backup_dir = sys.argv[1]
print(f"Making backups in '{backup_dir}'")
i = 0
for base_dir, game_dir in installed_games:
i += 1
print(f"Backing up ({i}/{len(installed_games)}) {game_dir}...")... | [
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from typing import List, Optional
from pydantic import AnyHttpUrl
from infobip_channels.core.models import CamelCaseModel, ResponseBase
| [
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import logging
from flask import Flask, request, jsonify
from extractor.document import Document
from extractor.five_w_extractor import FiveWExtractor
app = Flask(__name__)
log = logging.getLogger(__name__)
host = None
port = 5000
debug = False
options = None
extractor = FiveWExtractor()
ch = logging.StreamHandler()
... | [
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4... | 3.041958 | 143 |
import os
import tempfile
import pkg_resources as p
from CPAC.utils.symlinks import create_symlinks
mocked_outputs = \
p.resource_filename(
"CPAC",
os.path.join(
'utils',
'tests',
'test_symlinks-outputs.txt'
)
)
| [
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2... | 1.992958 | 142 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-09-09 15:33
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django_extensions.db.fields
| [
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... | 2.8 | 80 |
"""Script for running the dserve server."""
import os
from flask import (
Flask,
jsonify,
send_file,
abort,
request,
)
from flask_cors import CORS, cross_origin
app = Flask(__name__)
cors = CORS(app)
def overlay_root():
overlays = app._dataset.access_overlays()
content = {
... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
"""
util regex tool
refs:
http://www.symantec.com/connect/articles/detection-sql-injection-and-cross-site-scripting-attacks
"""
import re
INJECTION_REGEX = re.compile(
r"(%27)|(\')|(\-\-)|(%23)|(#)|" # Regex for detection of SQL meta-characters
r"\w*((%27)|(\... | [
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... | 2.190083 | 605 |
#!/usr/bin/env python
REGISTERS = {
'IOCFG2': 0x00,
'IOCFG1': 0x01,
'IOCFG0': 0x02,
'FIFOTHR': 0x03,
'SYNC1': 0x04,
'SYNC0': 0x05,
'PKTLEN': 0x06,
'PKTCTRL1': 0x07,
'PKTCTRL0': 0x08,
'ADDR': 0x09,
'CHANNR': 0x0A,
'FSCTRL1': 0x0B,
'FSCTRL0': 0x0C,
'FREQ2': 0x0D,
... | [
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198... | 1.513944 | 1,004 |
'''
@func:to store useful links module
@create:2021.10.20
''' | [
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