content stringlengths 5 1.05M |
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#!/usr/bin/env python
# Following some previous people's work in
# https://www.javatpoint.com/python-tkinter-frame
# https://www.python-course.eu/tkinter_checkboxes.php
# https://stackoverflow.com/questions/30774281/update-matplotlib-plot-in-tkinter-gui
import netCDF4 as ncdf
import numpy as np
from scipy import int... |
mark = float(input('mark on test?'))
if mark >= 50:
print('congratulations you passed')
else:
print('sorry you failed')
|
# Generated by Django 2.1.7 on 2019-03-29 15:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('paytm', '0005_paytm_history_user'),
]
operations = [
migrations.AlterField(
model_name='paytm_history',
name='MERC_U... |
__author__ = "Frédéric BISSON"
__copyright__ = "Copyright 2022, Frédéric BISSON"
__credits__ = ["Frédéric BISSON"]
__license__ = "mit"
__maintainer__ = "Frédéric BISSON"
__email__ = "zigazou@protonmail.com"
import re
from testdata import pdf_file_uris
# Generate the ALL rule.
print("ALL:", end="")
for pdf_test in pd... |
from flask import Blueprint
from flask import session
from flask import request
from flask import redirect
from flask import url_for
from flask import render_template
from pyotp import random_base32
from pyotp import TOTP
from app import db
from app.models import TwoFactor
from app.check import is_two_factor_enabled
... |
import sys
def filter_xml (infile, outfile):
import re
out_string = ''
replacement = '<.*?>'
with open(infile) as instream:
instring = instream.read()
xml_pattern = re.compile('(?s)<style>.*?</style>')
alt_pattern = re.compile('<[^>]*>')
final_pattern = re.compile(' ... |
from builtins import range
import ROOT
masseb = []
massee = []
f1 = ROOT.TFile("plots_data.root")
t1 = f1.Get("zeeUncalibTree/probe_tree")
e = t1.GetEntries()
masseb.append(ROOT.TH1F("masseb1", "", 80, 70, 110))
massee.append(ROOT.TH1F("massee1", "", 80, 70, 110))
for z in range(e):
t1.GetEntry(z)
if(abs(t1.... |
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
#Get configuration parameters
import config
fromaddr = config.fromaddr
toaddr = config.toaddr
#Create a MIME Multipart object
msg = MIMEMultipart()
msg['Fr... |
from django.contrib import admin
from .models import Post
from simple_history.admin import SimpleHistoryAdmin
#admin.site.register(SimpleHistoryAdmin)
admin.site.register(Post, SimpleHistoryAdmin) |
import pytest
def test_something():
a = 5
b = 10
assert a + b == 11
class TestMultiple:
def test_first(self):
assert 5 == 5
def test_second(self):
assert 10 == 10
|
import argparse
import torch
import dgl
from dgl.data import CoraGraphDataset, CiteseerGraphDataset, PubmedGraphDataset
from dgl.nn import LabelPropagation
def main():
# check cuda
device = f'cuda:{args.gpu}' if torch.cuda.is_available() and args.gpu >= 0 else 'cpu'
# load data
if args.dataset == 'Co... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from django.conf.urls import url, include
import delivery
import tasks
urlpatterns = [
url(r'^$', delivery.delivery_list, name='delivery'),
url(r'^add/$', delivery.delivery_add, name='delivery_add'),
url(r'^list/$', delivery.delivery_list, name='delivery_list')... |
import base64
import hashlib
import hmac
import logging
from binascii import hexlify
from datetime import datetime
from functools import reduce
from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Tuple
from urllib.parse import quote as url_quote
from httpx import URL, AsyncClient, Response
from ._ut... |
from .integrals import Integrals |
import intake
from ._version import get_versions
__version__ = get_versions()["version"]
del get_versions
# Look up a driver class by its name in the registry.
catalog_class = intake.registry["bluesky-mongo-normalized-catalog"]
bluesky_cartpole_catalog_instance = catalog_class(
metadatastore_db="mongodb://local... |
"""Summary: Webscraper for ign.com
"""
import requests
from bs4 import BeautifulSoup
from typing import List, Tuple, Dict
from .BaseScraper import BaseScraper
class Ign(BaseScraper):
def __init__(self):
super().__init__()
self.url = 'http://www.ign.com/comics'
def _raw_scrape(self):
"... |
import io
import os
import PySimpleGUI as sg
from PIL import Image
import pytesseract
# include the file types that should be allowed in your app
file_types = [
("PNG (*.png)", "*.png"),
("JPEG (*.jpg)", "*.jpg"),
("All files (*.*)", "*.*")
]
def ocr_core(filename):
"""
This function will handle ... |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
'''
@File : bruteforce.py
@Time : 2021/11/23 23:48:49
@Author : Roderick Chan
@Email : ch22166@163.com
@Desc : bruteforce methods
'''
from pwnlib.util.hashes import *
from pwnlib.util.iters import bruteforce, mbruteforce
from pwncli.utils.misc import errlo... |
# ^ Importing The Modules
import pyfiglet
import mysql.connector
print(pyfiglet.figlet_format("WELCOME"))
# & Connecting to Database
mydb = mysql.connector.connect(
host="localhost",
user="root",
password="deepraj02",
database="schoolmanagement"
)
mycursor = mydb.cursor()
# * F... |
'''
Kth largest element
Given an array A of random integers and an integer k, find and return the kth largest element in the array.
Note: Try to do this question in less than O(N * logN) time.
Input Format :
The first line of input contains an integer, that denotes the value of the size of the array. Let us denote it... |
#! python3
"""What is the millionth lexicographic permutation of the digits
0, 1, 2, 3, 4, 5, 6, 7, 8 and 9?"""
from itertools import permutations
from time import time
def self_permutations(it):
l = len(it)
for i in range(l):
if l > 1:
for p in self_permutations(it[:i] + it[i + 1:]):
... |
n = int(input())
i = s = 1
while s < n:
s += 6 * i
i += 1
print(i)
|
from tensorflow.keras.preprocessing import image
from tensorflow.keras.models import model_from_json, load_model
from sklearn.externals import joblib
import tensorflow as tf
from tensorflow.keras import backend as k
import numpy as np
config =tf.compat.v1.ConfigProto(
device_count={'GPU': 1},
intra_op_paralleli... |
# Copyright (c) 2020 The Khronos Group Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
from setuptools import find_packages, setup
VERSION = __import__('flat_responsive').__version__
setup(
name='django-flat-responsive',
packages=find_packages(),
version=VERSION,
author='elky',
author_email='mail@elky.me',
description=('An extension for Django admin that makes interface mobile f... |
import os
import shutil
from django import forms
from django.contrib import admin, messages
from django.contrib.admin.options import csrf_protect_m
from django.contrib.auth.models import Permission, Group, User
from django.db import transaction
from django.shortcuts import render_to_response
from django.template.conte... |
import subutai
import subuco
import hashlib
import datetime
import os
import stat
import tarfile
from shutil import copyfile
from subprocess import call
from time import sleep
from subprocess import run, Popen, PIPE
# This file provides functions and classes specific to
# Linux platform
def GetVirtualMachineName():... |
import sys
sys.path.insert(0, '..')
from img import TiffSequence
# 4 images
path = [
'../../tif/20170407054917_MSG2.tif',
'../../tif/20170407055416_MSG2.tif',
'../../tif/20170407055916_MSG2.tif',
'../../tif/20170407060416_MSG2.tif'
]
sequence = TiffSequence(path)
print("Number of images into sequenc... |
matriz = [[0, 0, 0], [0, 0, 0], [0, 0, 0]]
spar = scol = maior = 0
for l in range(0, 3):
for c in range(0, 3):
matriz[l][c] = int(input(f"Digite um valor para ({l}, {c}): "))
if matriz[l][c] % 2 == 0:
spar += matriz[l][c]
for l in range(0, 3):
for c in range(0, 3):
print(f"[{... |
from .insidebars import InsideBars
from .pattern import Pattern
from .stairstep import HigherHighs |
from django.shortcuts import render
from database.query.submissions import get_user_submissions as database_get_user_submissions
def submission_ajax_page(request, username, start, end):
ret = database_get_user_submissions(username, start=int(start), end=int(end))
return render(request, 'html/submissions_ajax... |
# Copyright 2019 AUI, Inc. Washington DC, USA
#
# 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 ... |
#import nothing
nullfunc = lambda: None
#from types import CodeType, FunctionType
CodeType = nullfunc.__code__.__class__
FunctionType = nullfunc.__class__
# Thanks @chilaxan
def sizeof(obj):
return type(obj).__sizeof__(obj)
IS_PY2 = not 2/3
BYTES_HEADER_LEN = sizeof(b"")-1
TUPLE_HEADER_LEN = sizeof(())
INT64_MA... |
from django.conf import settings
from django.contrib.auth.tokens import PasswordResetTokenGenerator
from django.core.mail import send_mail
from django.db.models import Avg
from django.shortcuts import get_object_or_404
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters, per... |
from json import load
import sys
sys.path.append('.')
import json
from tqdm import tqdm
from collections import OrderedDict
import pickle
from itertools import chain
import argparse
from entity_linker.bert_entity_linker import BertEntityLinker
from entity_linker.BERT_NER.bert import Ner
from entity_linker import surfa... |
print('-=-' * 30)
print(' MAIOR E MENOR NÚMERO ')
print('-=-' * 30)
print('''Digite três números e eu informarei
qual o maior e qual o menor!''')
print('-' * 5)
num1 = float(input('Digite o primeiro número: '))
num2 = float(input('Digite o segundo número: '))
num3 = float(input('Digite o terceiro número: '))
pr... |
import albumentations as A
from albumentations.core.transforms_interface import DualTransform
from augments.tearAug import TearAug
from augments.addBird import AddBird
augmentations_dict = {
0: AddBird,
1: A.Blur,
2: A.ChannelDropout,
3: A.ChannelShuffle,
4: A.CLAHE,
5: A.CoarseDropout,
6: ... |
from django.shortcuts import render
from django.views.generic import CreateView
from django.urls import reverse_lazy
from .forms import CreationForm
class SignUp(CreateView):
form_class = CreationForm
success_url = reverse_lazy('posts:index')
template_name = 'users/signup.html'
|
import math
import time
from dataclasses import dataclass
from typing import List, Tuple
from PIL import Image, ImageDraw, ImageFilter
from seedsigner.gui.renderer import Renderer
from seedsigner.helpers.qr import QR
from seedsigner.models.qr_type import QRType
from seedsigner.models.threads import BaseThread, Thread... |
from typing import List
import pandas as pd
from pycaret.classification import *
from prefect import task, Flow
from typing import List
@task
def split_df() -> List[pd.DataFrame]:
# Read data
games = pd.read_csv('data/games')
# Split into train and test
cutoff = round(games.shape[0]*0.75)
train = ... |
# Copyright 2020-present Kensho Technologies, LLC.
"""Code for generating gRPC stubs in Kensho-approved way"""
import itertools
import grpc
from eagr.client import client_side_middleware
from eagr.client.client_tracing import wrap_grpc_client_channel
DEFAULT_CHANNEL_OPTIONS = {
# We want to round-robin between ... |
#%% Change working directory from the workspace root to the ipynb file location. Turn this addition off with the DataScience.changeDirOnImportExport setting
import os
try:
os.chdir(os.path.join(os.getcwd(), 'TEAD\MiniProyecto1\censusincomeanalysis'))
print(os.getcwd())
except:
pass
#%% [markdown]
# - 48842 instances... |
import tensorflow as tf
import numpy as np
tf.compat.v1.enable_eager_execution()
# Weight Quantization - Input/Output=float32
converter = tf.lite.TFLiteConverter.from_saved_model('saved_model')
converter.optimizations = [tf.lite.Optimize.OPTIMIZE_FOR_SIZE]
tflite_quant_model = converter.convert()
with open('head_pose... |
## Import libraries
import os
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import skimage
import scipy.ndimage.interpolation as sci_int
import scipy.ndimage.morphology as sci_morph
from skimage import data, color, img_as_uint
from skimage.transform import re... |
from keras.applications import VGG16
from keras import layers
from keras import models
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import plot_model
import matplotlib.pyplot as plt
from keras import backend as K
import tensorflow as tf
class VGG16Training(obj... |
from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, SubmitField, SelectField
from wtforms.validators import Required
class AddPitchForm(FlaskForm):
title = StringField("Pitch Title", validators = [Required()])
pitch = TextAreaField("Go", validators = [Required()])
category = Sel... |
from django.contrib import admin
from core.models import *
@admin.register(Profile)
class ProfileAdmin(admin.ModelAdmin):
fields=('archived', 'user',)
list_display=('id', 'user', 'created_at', 'updated_at',)
|
#!/usr/bin/env python
import networkx as NX
import numpy
from draggableNode import DraggableNode
from graph import Graph
class GraphTest(Graph):
def __init__(self, parent = None):
Graph.__init__(self, parent, False)
files = ['file'+str(x)+'.step' for x in xrange(5)]
self.nodes = ... |
#!/usr/bin/env python
# coding: utf-8
from ase.visualize import view
import numpy as np
import matplotlib.pyplot as plt
from pymatgen.io.ase import AseAtomsAdaptor
from waterstructureCreator.load_dictionaries import import_slab_structures, import_bulk_structures
from waterstructureCreator.construct_supercells impor... |
# Generated by Django 3.1.4 on 2021-01-11 13:29
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wagtail_wordpress_importer', '0058_customfield_sub_fields'),
]
operations = [
migrations.CreateModel(
... |
#! /usr/bin/env python
# -*- encoding: UTF-8 -*-
"""Example: Use transformInterpolations Method on Arm and Torso"""
import qi
import argparse
import sys
import motion
import almath
def main(session):
"""
Use transformInterpolations Method on Arm and Torso.
"""
# Get the services ALMotion & ALRobotPo... |
"""Submodule to handle web requests in opsdroid."""
import json
import logging
import ssl
from aiohttp import web
from opsdroid import __version__
_LOGGER = logging.getLogger(__name__)
class Web:
"""Create class for opsdroid Web server."""
def __init__(self, opsdroid):
"""Create web object."""
... |
import fn
import json
import os
import cv2
import numpy as np
import torch
origin = os.path.dirname(os.getcwd())
target_json = "/alphapose/alphapose-results.json"
origin = origin + target_json
print(origin)
# with open(origin, encoding='utf-8') as f:
# line = f.readline()
# d = json.loads(line)
# print... |
"""
Copyright 15/06/2017 UNSW Testing - Abu Tholley
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... |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import torch
class GPT2LMSegmentModel(GPT2LMHeadModel):
"""
This class is use to override the prepare_inputs_for_generation of GPT2LMHeadModel
--> the vanilla generate function from huggingface does not allow to specify the token type id of the input,
becaus... |
import unittest
from mock import Mock, patch
from pyVmomi import vim
from common.vcenter.task_waiter import SynchronousTaskWaiter
task = Mock(spec=vim.Task)
class helper:
@staticmethod
def change_to_success(a):
task.info.state = vim.TaskInfo.State.success
return
@staticmethod
def cha... |
import abc
from collections.abc import Iterable
from typing import Optional
from discord import Reaction, Message, Member, RawReactionActionEvent
from discordmenu.embed.emoji import DEFAULT_EMBED_MENU_EMOJI_CONFIG, EmbedMenuEmojiConfig
class ReactionFilter:
def __init__(self, reaction_filter: Optional["ReactionF... |
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import permission_required
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.utils.translation import pgettext_lazy
from saleor.core.utils im... |
from office365.runtime.client_result import ClientResult
from office365.runtime.queries.service_operation_query import ServiceOperationQuery
from office365.runtime.resource_path import ResourcePath
from office365.runtime.resource_path_service_operation import ResourcePathServiceOperation
from office365.sharepoint.base_... |
"""An example file that produces a custom parameters for the LULESH example."""
from maestrowf.datastructures.core import ParameterGenerator
from atomsci.ddm.utils import hyperparam_search_wrapper as hsw
import os
#---------------------------------------------------------------------
def get_custom_generator(env, **k... |
# Copyright 2014 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""HTTP Handlers."""
import datetime
import itertools
import json
import time
import webapp2
from google.appengine.api import app_identity
from... |
"""
====================
Plot Activation Foci
====================
Plot spheroids at positions on the surface manifold
according to coordinates or vertex ids.
"""
import os
import os.path as op
from numpy import arange
from numpy.random import permutation
import nibabel as nib
from surfer import Brain
print(__doc__)... |
"""
Module containing code to work with Rapid observational data
"""
from netCDF4 import Dataset, num2date, date2num
import datetime
import numpy as np
import metric.utils
class RapidObs(object):
""" Template class to interface with observed ocean transports """
def __init__(self, f, time_avg=None, mindt=No... |
from torchwisdom.optim.callback import *
from torchwisdom.metrics import *
from torchwisdom.callback import *
from torchwisdom.utils.data.collector import *
from torch.optim.optimizer import Optimizer
from torchwisdom.trainer import *
from torchwisdom.envi import *
from typing import *
from fastprogress import master_b... |
from os.path import dirname, join
ROOT_DIR = dirname(__file__)
UPLOAD_DIR = join(ROOT_DIR, 'static', 'uploads')
class Config:
SECRET_KEY = '716030d5aff7e2140d6f1f52847ab80ffc93559d06708c449f834d04ff54cb4a'
SQLALCHEMY_TRACK_MODIFICATIONS = False
ROOT_DIR = ROOT_DIR
UPLOAD_DIR = UPLOAD_DIR
class Tes... |
from django.conf.urls import url
from api import views
from bin import powerstrip
# api urls
urlpatterns = [
url(r'^$', views.view_api),
url(r'beamer/$', views.view_beamer),
url(r'beamer/on/$', views.view_beamer_on),
url(r'beamer/off/$', views.view_beamer_off),
url(r'beamer/change_state/$', views.view_be... |
import os
import re
import types
#import unittest
PACKAGE = 'mini_charge.models'
MODEL_RE = r"^.*.py$"
# Search through every file inside this package.
model_names = []
model_dir = os.path.dirname(__file__)
for filename in os.listdir(model_dir):
if not re.match(MODEL_RE, filename) or filename == "__init__.py":
... |
from passlib.hash import pbkdf2_sha256, bcrypt_sha256
class PasswordManager:
def __init__(self):
self.plain_password = None
self.encrypted_password = None
def create_password(self, plain_password):
self.plain_password = plain_password
self.encrypted_password = pbkdf2_sha256.en... |
from __future__ import annotations
import datetime
from typing import List, Tuple, Union, Dict
class InvalidDistributionSliceException(Exception):
pass
class WeeklyDistribution:
HOURS_IN_WEEK = 168
def __init__(
self,
hour_fraction_pairs: List[Union[Tuple[int, float], Tuple[int... |
import unittest
from refract import Array, String
class ArrayTests(unittest.TestCase):
def setUp(self):
self.title = String(content='title')
self.hello = String(content='hello')
self.array = Array(content=[self.title, self.hello])
def test_initialisation(self):
self.assertEqua... |
print '****Welcome to Sehir Online Market****'
print 'Please log in by proving your user credentials'
log_in_dict={'username':['ahmet','meryem'],'password':['sehir123','4444']}
UserName=raw_input('username: ')
while UserName != log_in_dict['username'][0] and UserName != log_in_dict['username'][1]:
print 'Your usern... |
import discord
import random
from mcstatus import MinecraftServer
from discord.ext import commands
import datetime
from urllib import parse, request
import re
import requests
import json
import base64
import urllib.parse
from discord.ext import commands
import requests
from bs4 import BeautifulSoup
from t... |
# !/usr/bin/env python3
# -*- coding:utf-8 -*-
# @Datetime : 2019/11/13 上午11:49
# @Author : Fangyang
# @Software : PyCharm
from PyQt5.QtWidgets import (
QWidget, QHBoxLayout, QFrame,
QSplitter, QStyleFactory, QApplication
)
from PyQt5.QtCore import Qt
import sys
class Example(QWidget):
def __init__(s... |
# Generated by Django 3.2.12 on 2022-04-29 16:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('notifications', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='notification',
name='verb',
... |
import logging, browserid, json, sys
from pylons import config, request, response, session, tmpl_context as c, url
from pylons.controllers.util import abort, redirect
from pylons.decorators import rest
from lr.lib.base import BaseController, render
from lr.lib import oauth, bauth
from lr.lib.signing import lrsignatur... |
import os
import shutil
import argparse
import random
import torch
import numpy as np
from torch_geometric.data import Batch
from easydict import EasyDict
from tqdm.auto import tqdm
from rdkit import Chem
from scipy.special import softmax
from models.maskfill import MaskFillModel
from models.frontier import FrontierNe... |
"""
Management of BOSS infrastructure
Usage: bossmngr checkconfig
Options:
--prefix=<prefix> Prefix to delete
--field=<field> Field to search in
"""
import sys
SUCCESS = 0
FAILED = 1
def main():
import docopt
from utils.check_config import print_check_config
opt = docopt.docopt(__doc__)
if... |
# -*- coding: utf-8 -*-
import logging
if __name__ == '__main__':
logging.basicConfig()
_log = logging.getLogger(__name__)
import pyxb.binding.generate
import pyxb.utils.domutils
from pyxb.utils import six
from xml.dom import Node
import os.path
xsd='''<?xml version="1.0" encoding="UTF-8"?>
<xs:schema xmlns="urn:t... |
import numpy as np
import os
import tempfile
from Parser import *
class ControllerFunctionError(Exception):
def __init__(self, message, error):
super(Exception, self).__init__(message)
self.errors = error
class Controller():
'''
This class wraps some of the controller functionality from pyZDDE into m... |
import Token
class TokenConsumer:
def __init__(self, tokens: Token):
self.tokens = tokens
self.position = 0
def end_of_tokens(self):
return self.position == len(self.tokens)
def current(self):
return self.tokens[self.position]
def next(self):
if self.posi... |
import cupy as cp
import pytest
from cupy.testing import assert_allclose
from skimage.data import camera, binary_blobs
from cupyimg.scipy.ndimage import fourier_shift
from cupyimg.skimage.registration._phase_cross_correlation import (
phase_cross_correlation,
_upsampled_dft,
)
from cupyimg.skimage import img_a... |
numbers = list(map(int, input("Podaj 5 cyfr: ").split()))
try:
if len(numbers) != len(list(dict.fromkeys(numbers))) or len(numbers) > 5 or len(numbers) < 5:
raise ValueError
else:
i = 0
divs = 0
while i < 4:
x = numbers[0 + divs]
y = numbers[1 + divs]
... |
x = "a"
y = "b"
print("x < y" if x < y else "x > y")
|
class Settings():
def __init__(self):
self.number_to_picture_dict = {0: 'image/0.png', 2: 'image/2.png', 4: 'image/4.png', 8: 'image/8.png',
16: './image/16.png', 32: './image/32.png', 64: './image/64.png',
128: './image/128.png'... |
"""Holds handlers to manage error tracebacks using."""
import pretty_errors
from dbt_coves.utils.flags import DbtCovesFlags
class DbtCovesTraceback:
"""Consumes CLI flags (from DbtCovesFlags consumer) and sets up traceback pretty formatting."""
def __init__(self, flags: DbtCovesFlags) -> None:
"""Tr... |
### The answer is:
words=["turtle","pineapple","tech","penguin","free","python","classes"]
words_in_list=len(words) |
from thermal_barrierlife_prediction.model_cnn import ModelCNN
from thermal_barrierlife_prediction.estimator import Estimator
class EstimatorCNN(Estimator):
def init_model(self, **model_args):
"""
Initializes and compiles the model.
"""
input_shapes = (self.data['greyscale'].shape... |
from time import time
from imgfeature import ResizeImFeature
import pandas as pd
def imhash(gray):
dt = gray.flatten()
xlen = len(dt)
avg = dt.mean()
avg_list = ['0' if i < avg else '1' for i in dt]
return ''.join(['%x' % int(''.join(avg_list[x: x+4]), 2) for x in range(0, xlen, 4)])
def hamming(h... |
# Generated by Django 2.2.2 on 2019-06-05 10:07
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('flexible_payments', '0004_auto_20190604_1551'),
]
operations = [
migrations.AddField(
model_name='transaction',
name... |
# copyright 2003-2010 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
#
# This file is part of logilab-common.
#
# logilab-common is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as publ... |
"""
Copyright (c) 2011, 2012, Regents of the University of California
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this l... |
# Copyright 2013 Hewlett-Packard Development Company, L.P.
#
# 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 applicabl... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 4 10:09:11 2019
@author: sitaram
Example:
python hierarchical_clustering_cluster.py -f ~/dblp_clustering.csv -c ~/dblp_clustering_results.csv
workflow:
-> To calculate intra cluster edge count between clusters
"""
import pandas as pd
import num... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 朔のキャッシュをmikaのデータベースへインポートします
# 使い方:
# python3 cache2db.py path/to/cache/dir
# OR
# python3 cache2db.py --exclude-removed path/to/cache/dir
# DBの設定
DB_NAME = 'mika'
DB_USER = 'root'
DB_PASSWD = 'root'
from mysql.connector import connect as mysqlConnect
import... |
import logging
from datetime import timedelta
from core import Feed
from core.errors import ObservableValidationError
from core.observables import File, Hash, Url
# Deprecated
class UrlHausPayloads(Feed):
default_values = {
"frequency": timedelta(hours=1),
"name": "UrlHausPayloads",
"sour... |
from .objects.timeseries import fixTimestamps, Timeseries, DatapointArray
def getQuery(ts, kwargs):
fixTimestamps(kwargs)
if isinstance(ts, Merge):
kwargs["merge"] = ts.query
return kwargs
if isinstance(ts, Timeseries):
ts = ts.id
elif not isinstance(ts, str):
raise Exc... |
""" Defines the ScatterInspector tool class.
"""
# Enthought library imports
from traits.api import Any, Bool, Enum, Event, HasStrictTraits, Str
# Local, relative imports
from .select_tool import SelectTool
HOVER_EVENT = "hover"
SELECT_EVENT = "select"
DESELECT_EVENT = "deselect"
class ScatterInspectorEvent(HasS... |
import torch
from espnet2.layers.sinc_conv import BarkScale
from espnet2.layers.sinc_conv import LogCompression
from espnet2.layers.sinc_conv import MelScale
from espnet2.layers.sinc_conv import SincConv
def test_log_compression():
activation = LogCompression()
x = torch.randn([5, 20, 1, 40], requires_grad=T... |
"""Here you can control the config parameters to run Kytos controller.
Basically you can use a config file (-c option) and use arguments on command
line. If you specify a config file, then and option configured inside this file
will be overridden by the option on command line.
"""
import json
import os
import uuid
im... |
from celery import task, shared_task
from crawler import download
from crawler.models import *
import os
from crawler.views import count_words
from crawler.pdf import *
import nltk
from tqdm import tqdm
@shared_task
def tag(id):
try:
doc = Document.objects.filter(id=id).first()
if doc is not No... |
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