content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
# Parent Class
class Shape:
sname = "Shape"
def getName(self):
return self.sname
# child class
class XShape(Shape):
# initializer
def __init__(self, name):
self.xsname = name
def getName(self): # overriden method
return (super().getName() + ", " + self.xsname)
circle =... | python |
# encoding: utf8
from __future__ import print_function, unicode_literals
from io import BytesIO
import re
from unicodedata import combining, normalize
from aspen.resources.pagination import parse_specline, split_and_escape
from aspen.utils import utcnow
from babel.core import LOCALE_ALIASES
from babel.dates import fo... | python |
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict
from vissl.utils.test_utils import (
... | python |
#!/usr/bin/env python3
# coding:utf-8
def fib(n):
yield 0
x, y = 0, 1
yield x
for i in range(n-1):
x, y = y, x + y
yield x
'''
fib() 可以简化
简化 1
def fib(n):
x, y = 0, 1
for i in range(n):
yield x
x, y = y, x + y
简化 2
def fib(n):
x, y = 0, 1
for i in range(... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (c) 2013 Qin Xuye <qin@qinxuye.me>
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... | python |
import matplotlib.pyplot as plt
import tensorflow as tf
import keras as keras
def print_elapsed_time(total_time):
''' Prints elapsed time in hh:mm:ss format
'''
hh = int(total_time / 3600)
mm = int((total_time % 3600) / 60)
ss = int((total_time % 3600) % 60)
print(
"\n** Total Elapsed ... | python |
#!/usr/bin/env python
# encoding: utf-8
import re
import sys
import gzip
import pysam
#import itertools
import mimetypes
from collections import OrderedDict #,defaultdict
class VCF(object):
"""docstring for VCF"""
def __init__(self,
input,
output=None,
popu... | python |
"""
Создать класс Car. Атрибуты: марка, модель, год выпуска, скорость (по умолчанию 0).
Методы: увеличить скорости (скорость +5), уменьшение скорости (скорость -5),
стоп (сброс скорости на 0), отображение скорости, задния ход (изменение знака скорости).
"""
class Car:
def __init__(self, brand, model, year, speed)... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import importlib
import itertools
from string import Formatter
from adapt.intent import IntentBuilder
from adapt.engine import DomainIntentDeterminationEngine
from padatious import IntentContainer
from padatious.util import expand_parentheses
clas... | python |
"""
This is companion code to Project 4 for CSEP576au21
(https://courses.cs.washington.edu/courses/csep576/21au/)
Instructor: Vitaly Ablavsky
"""
# ======================================================================
# Copyright 2021 Vitaly Ablavsky https://corvidim.net/ablavsky/
#
# Permission is hereby granted, f... | python |
# Mikaela Uy (mikacuy@cs.stanford.edu)
import argparse
import os
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
import datetime
import time
import sys
import importlib
import shutil
import numpy as np
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR) # model... | python |
# Generated by Django 3.0.4 on 2020-04-22 13:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tutors', '0007_auto_20200416_1433'),
]
operations = [
migrations.AddField(
model_name='postanad',
name='views',
... | python |
import configparser
import os
config = configparser.ConfigParser()
config.read(os.path.join(os.path.dirname(__file__), '../config.ini'))
STEAM_ACCOUNT = config['steam']['account_name']
STEAM_PASSWORD = config['steam']['password']
driver_path = config['selenium']['driver_path'] if config['selenium']['driver_path'].st... | python |
# Author: Guilherme Aldeia
# Contact: guilherme.aldeia@ufabc.edu.br
# Version: 1.0.0
# Last modified: 05-29-2021 by Guilherme Aldeia
r"""Interaction Transformation Evolutionary Algorithm for **regression**
This sub-module implements a specialization of the base classes ``BaseITEA``
and ``BaseITExpr`` to be... | python |
from Tkinter import *
from tkMessageBox import *
def komunikaty():
if askyesno('Podaj odpowiedz!', u'Czy wiesz co robisz?'):
showwarning('Tak', u'Jak widze wiesz co robisz.')
else:
showinfo('Nie', 'Nie przejmuj sie, nie ty jeden.')
Button(text=u'Koniec', command=komunikaty).pack(fill=X)
Button(text=u'Blad',
co... | python |
import json
from typing import TYPE_CHECKING
from django.urls import reverse
from telegram import Bot as TelegramBot, Update
from telegram.ext import Updater
from ..dispatcher.setup import setup_dispatcher
if TYPE_CHECKING:
from django.http import HttpRequest
from telegram.ext import Dispatcher
from ..mo... | python |
import os
import xml.etree.ElementTree as ET
from shutil import copyfile
import paths
def get_all_laws():
counter=0
wrd = "".join(os.getcwd())
laws_dir=wrd+"\\akn"
for root,subFolder,files in os.walk(wrd):
for item in files:
if(item.endswith("main.xml")):
dst = wrd +... | python |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | python |
from typing import Union, List, Tuple, Callable, Dict, Optional
import numpy as np
from medsearch.models.base import TorchModelBase
from medsearch.models.utils import cosine_similarity
from medsearch.datasets.dataset import SemanticCorpusDataset
from sentence_transformers import SentenceTransformer
class SentenceTran... | python |
from itertools import product
import numpy as np
from astropy import units as u
from astropy.io import fits
from astropy.table import Table
from astropy.visualization import quantity_support
from scipy.ndimage.measurements import label as ndi_label
from gammapy.extern.skimage import block_reduce
from gammapy.utils.inte... | python |
from .shi import Shi
from .ni import Ni
from .mi import Mi
from .i import I
from ._diacritic import Ji
__all__ = [
"Shi",
"Ni",
"Mi",
"I",
"Ji",
]
| python |
from fido2.ctap1 import ApduError
from yubikit.core import TRANSPORT
from yubikit.management import CAPABILITY
from yubikit.core.smartcard import SW
from ykman.fido import fips_change_pin, fips_verify_pin, fips_reset, is_in_fips_mode
from . import condition
import pytest
@pytest.fixture(autouse=True)
@condition.fips... | python |
import random
from utils import cosine_distance
import numpy as np
class IterativeCondensedNN:
def __init__(self):
self.y_index = {}
def fit(self, X_train,y):
for idx, observation in enumerate(X_train):
self.y_index[observation.tostring()] = idx
samples = []
_r... | python |
import autograd.numpy as np
from autograd.scipy.special import gammaln
def sigmoid(a):
return 1. / (1. + np.exp(-a))
def logit(a):
return np.log(a) - np.log(1-a)
def mvn_diag_logpdf(x, mean, log_std):
D = len(mean)
qterm = -.5 * np.sum((x - mean)**2 / np.exp(2.*log_std), axis=1)
coef = -.5*D *... | python |
from bs4 import BeautifulSoup
import urllib.request
import csv
web_page = urllib.request.urlopen('https://en.wikipedia.org/wiki/List_of_Super_Bowl_champions')
soup = BeautifulSoup(web_page, "html.parser")
super_bowl_table = soup.find_all('table', {'class': 'wikitable'})[1]
in_file = open("result.csv", 'w')
csv_writer... | python |
import factory
from app.utils import db
from app.models.category import Category
from factories.department_factory import DepartmentFactory
class CategoryFactory(factory.alchemy.SQLAlchemyModelFactory):
class Meta:
model = Category
sqlalchemy_session = db.session
category_id = factory.Sequenc... | python |
game_logic = True
winner = None
curr_player = "X"
board = [["-","-","-"],
["-","-","-"],
["-","-","-"]]
def compTurn():
bestScore = -999
move = None
for x in range(3):
for y in range(3):
if board[x][y] == "-":
board[x][y] = "O"
score = min... | python |
class task_status:
"""
Descriptive backend task processing codes, for readability.
"""
SCHEDULED = 0
PROCESSING = 1
FINISHED = 4
FAILED = -1
CANCELLED = 9
EXPIRED = 8 # only for ResultsPackage
WAITING_FOR_INPUT = 2 # only for RunJob
RETRYING = 11 # only for WorkflowRun
... | python |
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name = "taxon_parser",
version = "0.2.3",
author = "Augustin Roche",
author_email = "aroche@photoherbarium.fr",
description = "A library to parse taxon names into elementary compon... | python |
import logging
from urllib.parse import urlparse
import prometheus_client
import requests
import six
from bs4 import BeautifulSoup as bs
if six.PY3:
from json import JSONDecodeError
else:
from simplejson import JSONDecodeError
logger = logging.getLogger(__name__)
class DataFetcher(object):
def __ini... | python |
import json
import requests
from fabric.colors import red
def publish_deploy_event(name, component, environment):
url = environment.fab_settings_config.deploy_event_url
if not url:
return
token = environment.get_secret("deploy_event_token")
if not token:
print(red(f"skipping {name} ev... | python |
class Data:
def __init__(self, data_dir="data/FB15k-237/", reverse=False):
self.train_data = self.load_data(data_dir, "train", reverse=reverse)
self.valid_data = self.load_data(data_dir, "valid", reverse=reverse)
self.test_data = self.load_data(data_dir, "test", reverse=reverse)
... | python |
import os
import yaml
from google.cloud import storage
from google.oauth2 import service_account
from .storage import Storage
class GcsStorage(Storage):
def __init__(self, bucket, path, project=None, json_path=None):
if bucket is None:
raise ValueError('Bucket must be supplied to GCS storage... | python |
from django.shortcuts import render
from rest_framework.decorators import api_view
from django.http import JsonResponse
import json
from .models import Wine
from .serializers import WineSerializer
from .constants import PAGE_SIZE
# Create your views here.
@api_view(["GET"])
def wines(request):
pageParam = int(requ... | python |
# Copyright 2020 kubeflow.org.
#
# 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,... | python |
# Api view of grades
from home.models import Grade
# from Serializers.GradeSerializer import FlatGradeSerializer
from api.services import handelFileSubmit, sendEmail, createTmpFile, getUserGrades
from rest_framework import viewsets
from rest_framework.response import Response
from rest_framework.decorators impo... | python |
#!/usr/bin/env python3
import os
import sys
import time
sys.path.append(os.getcwd()+'/CPDP')
sys.path.append(os.getcwd()+'/JinEnv')
sys.path.append(os.getcwd()+'/lib')
import copy
import time
import json
import numpy as np
import transforms3d
from dataclasses import dataclass, field
from QuadPara import QuadPara
from Q... | python |
"""
https://adventofcode.com/2020/day/2
"""
from collections import namedtuple
import logging
logger = logging.getLogger(__name__)
Rule = namedtuple("Rule", ["letter", "f_pos", "s_pos"])
def check_password(rule, password):
f_letter = password[rule.f_pos - 1]
s_letter = password[rule.s_pos - 1]
return ... | python |
# #!/usr/bin/env python
################################################################
## contains code relevant to updating simulation
## e.g. physics, integration
################################################################
from local.particle import *
# step particle simulation
def simStep(particles, k, d... | python |
#!/usr/bin/env python
# This script counts the number of PAM
import regex as re
import sys
data_infile = sys.argv[1]
# add 3 to account for PAM
nt_overlap_threshold = int(sys.argv[2]) + 3
PAM_plus = re.compile(r'[ACTG]GG')
PAM_minus = re.compile(r'CC[ACTG]')
with open(data_infile, 'r') as infile:
for line in in... | python |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import argparse
import json
import itertools
import sys
parser = argparse.ArgumentParser(description='Check interop reports.')
parser.add_argument('--required', type=str)
parser.add_argument('--regressions')
p... | python |
#! /usr/bin/env python
"""Give a string-oriented API to the generic "diff" module.
The "diff" module is very powerful but practically useless on its own.
The "search" and "empty_master" functions below resolve this problem."""
################################################################################
__author_... | python |
from django.shortcuts import render, redirect
from django.contrib.auth.models import User, auth
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from content.models import BlogPost, Category
from .models import Profile, Contact
def register(request):
if request.method =... | python |
#!/usr/bin/env python3
import argparse
import base64
import sys
import time
import requests
def main():
print("Starting Pelion requests")
# command line
parser = argparse.ArgumentParser(description="Pelion device interactions")
parser.add_argument("-a", "--apikey", type=str, help="User api key")
... | python |
from sklearn.cluster import KMeans, SpectralClustering, AffinityPropagation
import numpy as np
def clustering(X=None,
model_name='KMeans',
n_clusters=3,
**param):
if model_name == 'KMeans': # K均值
model = KMeans(n_clusters=n_clusters, **param)
elif model_na... | python |
from typing import List, Optional, Union
from lnbits.helpers import urlsafe_short_hash
from . import db
from .models import createLnurldevice, lnurldevicepayment, lnurldevices
###############lnurldeviceS##########################
async def create_lnurldevice(
data: createLnurldevice,
) -> lnurldevices:
lnu... | python |
#!/usr/bin/python3
import bs4
import json
import requests
import http
import re
import pandas as pd
from datetime import datetime
import argparse
import pathlib
from enum import Enum
MSG_LBL_BASE = '[PARSER]'
MSG_LBL_INFO = f'{MSG_LBL_BASE}[INFO]'
MSG_LBL_FAIL = f'{MSG_LBL_BASE}[FAIL]'
def parse_args():
parser... | python |
import cv2
import numpy as np
# 直方图均衡
def hisEqulColor(img):
ycrcb = cv2.cvtColor(img, cv2.COLOR_BGR2YCR_CB)
channels = cv2.split(ycrcb)
# print len(channels)
cv2.equalizeHist(channels[0], channels[0])
cv2.merge(channels, ycrcb)
cv2.cvtColor(ycrcb, cv2.COLOR_YCR_CB2BGR, img)
return img
# ... | python |
#!/usr/bin/env python3
import argparse
import subprocess
import TEST_LOG
import TEST_SETUP_IBOFOS
import TEST
def parse_arguments(args):
parser = argparse.ArgumentParser(description='Test journal feature with SPO')
parser.add_argument('-f', '--fabric_ip', default=TEST.traddr,\
help='Set target IP... | python |
"""
Primitive operations for 3x3 orthonormal and 4x4 homogeneous matrices.
Python implementation by: Luis Fernando Lara Tobar and Peter Corke.
Based on original Robotics Toolbox for Matlab code by Peter Corke.
Permission to use and copy is granted provided that acknowledgement of
the authors is made.
@author: Luis Fe... | python |
import matplotlib.pyplot as plt
def plot(activity,lon,lat,lonsmooth,latsmooth) :
fig = plt.figure(facecolor = '0.05')
ax = plt.Axes(fig, [0., 0., 1., 1.], )
ax.set_aspect('equal')
ax.set_axis_off()
fig.add_axes(ax)
#plt.plot(lonsmooth, latsmooth, '-', lon, lat, '.') #, xp, p(xp), '-')
plt.... | python |
import argparse
from bothub_nlp_rasa_utils.train import train_update as train
from bothub_nlp_rasa_utils.evaluate_crossval import evaluate_crossval_update as evaluate_crossval
import os
if __name__ == '__main__':
PARSER = argparse.ArgumentParser()
# Input Arguments
PARSER.add_argument(
'... | python |
from pathlib import Path
import csv
__all__ = ["text_writer", "str_file_read", "file_locate"]
def str_file_read(file_path, encoding="utf-8"):
"""
Returns a file's contents as a string.
Parameters
----------
file_path : str
Path to GCA file to read
encoding : str
Encoding met... | python |
import pytest
from seqeval.scheme import (BILOU, IOB1, IOB2, IOBES, IOE1, IOE2, Entities,
Entity, Prefix, Token, Tokens, auto_detect)
def test_entity_repr():
data = (0, 0, 0, 0)
entity = Entity(*data)
assert str(data) == str(entity)
@pytest.mark.parametrize(
'data1, data... | python |
def model_snippet():
from pathlib import Path
from multilevel_py.constraints import is_str_constraint, is_float_constraint, \
prop_constraint_ml_instance_of_th_order_functional
from multilevel_py.core import create_clabject_prop, Clabject
from multilevel_py.constraints import ReInitPropConstr
... | python |
'''
Parser for the ConstantsDumper variables.
'''
import re
from typing import Optional, Text
from ..parser import Context, ParserBase
from ..cpp.types import parse_value
class ConstantsParser(ParserBase):
'''
Parses the constants outputted by the ConstantsDumper clang plugin.
'''
VALUE_MATCHER = r... | python |
"""
Author: Param Deshpande
Date created: Fri Jul 10 23:48:41 IST 2020
Description:
plots individual piecewise spline curves according to the timestamps in the splineCoeffs.txt
License :
------------------------------------------------------------
"THE BEERWARE LICENSE" (Revision 42):
Param Deshpande wrote t... | python |
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
# -----------------------------------------------------------------------------
#
# P A G E B O T N A N O
#
# Copyright (c) 2020+ Buro Petr van Blokland + Claudia Mens
# www.pagebot.io
# Licensed under MIT conditions
#
# Supporting DrawBot, www.drawbot.com
# ---... | python |
def configure(conf):
conf.env.ARCHITECTURE = 'mips64el'
conf.env.VALID_ARCHITECTURES = ['mips64el', 'mipsel64']
conf.env.ARCH_FAMILY = 'mips'
conf.env.ARCH_LP64 = True
conf.env.append_unique('DEFINES', ['_MIPS', '_MIPS64', '_MIPSEL', '_MIPSEL64', '_MIPS64EL', '_LP64'])
| python |
# -*- python -*-
# pymode:lint_ignore=E501
"""Common settings and globals."""
from sys import path
import os
from django.contrib.messages import constants as message_constants
from django.core.exceptions import ImproperlyConfigured
from django.utils.translation import ugettext_lazy as _
from os.path import abspath, b... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Dynamic inventory script for ansible that works with ymir data.
# See also: http://docs.ansible.com/ansible/intro_dynamic_inventory.html
#
import os
from ymir import load_service_from_json
YMIR_SERVICE_JSON = os.path.abspath(
os.environ.get(
'YMIR_SERVICE_J... | python |
from collections import namedtuple
import subprocess
import os
import sys
from test_cases import Test
from utils import pipe_read
class RedundancyTest(Test):
Config = namedtuple('Config', ['spatial_read_files', 'spatial_read_reds', 'spatial_write_files', 'spatial_write_reds',
'... | python |
"""Module to preprocess detection data and robot poses to create usable input for ML model"""
from copa_map.util import hist_grid, rate_grid, util
import numpy as np
from dataclasses import dataclass
from termcolor import colored
import os
from matplotlib import pyplot as plt
import pickle
from matplotlib.widgets impo... | python |
# emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
#
### ### ### #... | python |
import sys
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from time import sleep
from view import Scene
class Inventory(QWidget):
def __init__(self, parent=None):
super(Inventory, self).__init__(parent)
self.setup_wind... | python |
# Copyright 2015 Yelp 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 to in writing, so... | python |
from django.urls import path
from app.file_writer.views import FileWriterView
urlpatterns = [
path('write/', FileWriterView)
] | python |
#!/usr/bin/python3
"""
Functional Test: STABILITY
Written by David McDougall, 2018
This verifies basic properties of the Stable Spatial Pooler. This generates a
new artificial dataset every time. The dataset consists of randomly generated
SDRs which are fed into the system as a timeseries. The dataset represents
ob... | python |
import unittest
from docx2md import DocxMedia
class FakeDocxFile:
def __init__(self, text):
self.text = text
def rels(self):
return (
b'<?xml version="1.0" encoding="UTF-8" standalone="yes"?><Relationships>'
+ self.text
+ b"</Relationships>"
... | python |
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 25 15:21:34 2021
@author: crtjur
"""
import tkinter as tk
from PIL import Image, ImageTk
root = tk.Tk()
root.title("Title")
root.geometry("280x350")
root.configure(background="black")
class Example(tk.Frame):
def __init__(self, master, *pargs):
tk.Frame.__i... | python |
""" WGAN-applicable Fully Convolutional Neural Network """
import tensorflow as tf
from tensorflow.keras.layers import Input, Conv2D, Conv2DTranspose, AveragePooling2D, UpSampling2D, Concatenate, Dropout, LeakyReLU, BatchNormalization
from architectures.activations import UV_activation
from architectures.layers imp... | python |
from prometheus_client import start_http_server
from prometheus_client.core import REGISTRY
from collector import ElasticBeanstalkCollector
import time
import datetime
def main():
port = 9552
print(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3],
"Starting exporter on :", port)
try... | python |
import os
import csv
import datetime
from flask import Flask, render_template, redirect, url_for
app = Flask(__name__)
file_data_list = []
def convert_to_timestamp(epoch_time='0'):
return datetime.datetime.fromtimestamp(int(float(epoch_time))).strftime('%Y-%m-%dT%H:%M:%S')
def cache_file_data():
global fil... | python |
"""Jenkins test report metric collector."""
from datetime import datetime
from typing import Dict, Final, List, cast
from dateutil.parser import parse
from base_collectors import SourceCollector
from collector_utilities.functions import days_ago
from collector_utilities.type import URL
from source_model import Entit... | python |
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from builtins import str as unicode
from quark_runtime import *
_lazyImport.plug("inheritance.pets")
import quark.reflect
class Pet(_QObject):
def _init(self):
... | python |
#! /usr/bin/env python
import numpy as np
import random
from time import sleep
from curses import wrapper
def two_dim(pos, width):
'''
Return 2d co-ordinates represented as 1d array.
pos: position in one dimension
width: total width of 2d array(columns)
'''
width += 1
return pos//width, p... | python |
"""
UrlCanonicalizerMiddleware
A spider middleware to canonicalize the urls of all requests generated from a spider.
imported from
http://snipplr.com/view/67007/url-canonicalizer-spider-middleware/
# Snippet imported from snippets.scrapy.org (which no longer works)
# author: pablo
# date : Sep 07, 2010
"""
from sc... | python |
from .diophantine import diophantine, classify_diop, diop_solve
__all__ = [
'diophantine', 'classify_diop', 'diop_solve'
]
| python |
# Generated by Django 3.1.7 on 2021-04-14 16:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0012_auto_20210414_1252'),
]
operations = [
migrations.AlterField(
model_name='post',
name='additional_addre... | python |
"""
DELL SDP P-Search API
"""
try:
import xml.etree.cElementTree as ET
except ImportError:
import xml.etree.ElementTree as ET
class SDPException(Exception):
pass
class SDPApi(object):
"""
SDP API Calls
"""
def __init__(self, sdpclient, logger, response_json=None):
... | python |
#!Venv/bin python3
# -*- coding: utf-8 -*-
import sqlite3
from urllib.request import urlopen
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
html = urlopen('https://www.opap.org.cy/el/page/joker-results').read()
html = html.decode('utf-8')
soup = BeautifulSoup(html, features='html.parser')
colu... | python |
import torch
from torch import nn
class RNN_LSTM(nn.Module):
def __init__(self, input_dim, hidden_dim, n_lyrs = 1, do = .05, device = "cpu"):
"""Initialize the network architecture
Args:
input_dim ([int]): [Number of time steps in the past to look at for current prediction]
... | python |
# Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved.
#
# SPDX-License-Identifier: Apache-2.0
#
# 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
#
# www.apache.org/licenses/LICE... | python |
import argparse
import json
import os
import pickle
import numpy as np
from nasbench_analysis.search_spaces.search_space_1 import SearchSpace1
from nasbench_analysis.search_spaces.search_space_2 import SearchSpace2
from nasbench_analysis.search_spaces.search_space_3 import SearchSpace3
from nasbench_analysis.utils im... | python |
from pylab import *
def imhist(img):
rows, cols = img.shape
h = np.zeros((256, 1), dtype=np.double)
for k in range(255):
h[k] = 0
for i in range(rows):
for j in range(cols):
if img[i,j] == k-1:
h[k] = h[k]+1
return h
def My... | python |
import tensorflow as tf
import optotf.nabla
import unittest
class Nabla2d(tf.keras.layers.Layer):
def __init__(self, hx=1, hy=1):
super().__init__()
self.op = lambda x: optotf.nabla.nabla_2d(x, hx=hx, hy=hy)
def call(self, x):
if x.dtype == tf.complex64 or x.dtype == tf.complex128:
... | python |
# -*- coding: utf-8 -*-
"""Top-level package for skipchunk."""
__author__ = """Max Irwin"""
__email__ = 'max_irwin@yahoo.com'
__version__ = '0.1.0'
| python |
from django.contrib import admin
from .models import User, EmailSender
from django.core.mail import send_mass_mail
import smtplib
admin.site.register(User)
class EmailSenderAdmin(admin.ModelAdmin):
actions = ['send_email']
@admin.action(description='Send mass email')
def send_email(self, request, query... | python |
from django.contrib import admin
from bookings.models import Booking
# Register your models here.
admin.site.register(Booking) | python |
from .utils import cached_property
from .utils.types import is_list, get_link, validate, is_nullable
from .resource import Resource
from .conf import settings
from .expression import execute
from .schemas import FieldSchema
from .exceptions import TypeValidationError
def is_resolved(x):
if isinstance(x, Resource)... | python |
#!/usr/bin/env python3
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
# This code is ported from the following implementation written in Torch.
# https://github.com/chainer/chainer/blob/master/examples/ptb/train_ptb_custom_loop.py
"""Language m... | python |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright(c) 2019 Nippon Telegraph and Telephone Corporation
# Filename: EmLoggingTool.py
'''
Log tool for EM.
'''
import logging.handlers
import time
import gzip
import os
import re
import shutil
import GlobalModule
class Formatter(logging.Forma... | python |
import pytest
from pipet.core.shop_conn.wc import *
from pipet.core.transform.model_to_wc import *
from pipet.core.transform.wc_to_model import *
from pprint import pprint | python |
def maxMultiple(divisor, bound):
return (bound // divisor) * divisor
| python |
#Kyle Sizemore
#2/7/2020
# pull historical data from the market for backtesting purposes and output to a
# csv file on our mySQL database
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
import datetime
import pandas as pd
import pandas_datareader as web
import csv
import pymysql
from sql... | python |
import pypro.core
import os
class CreateConfig(pypro.core.Recipe):
def __init__(self, source, destination):
self.source = source
self.destination = destination
def run(self, runner, arguments=None):
# Read the template file
content = ''
with open(self.source, 'r') as ... | python |
import random
import numpy as np
import torch
import torch.utils.data as data
import data.util as util
import os.path as osp
class LQGT_dataset(data.Dataset):
'''
Read LQ (Low Quality, here is LR) and GT image pairs.
If only GT image is provided, generate LQ image on-the-fly.
The pair is ensured by 'so... | python |
"""
byceps.services.ticketing.dbmodels.archived_attendance
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2014-2022 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from datetime import datetime
from ....database import db
from ....typing import PartyID, UserID
from... | python |
#!/usr/bin/env python3
"""nargs=+"""
import argparse
parser = argparse.ArgumentParser(
description='nargs=+',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('files', metavar='FILE', nargs='+', help='Some files')
args = parser.parse_args()
files = args.files
print('number = {}'.... | python |
"""
@authors: Filip Maciejewski, Oskar Słowik, Tomek Rybotycki
@contact: filip.b.maciejewski@gmail.com
REFERENCES:
[0] Filip B. Maciejewski, Zoltán Zimborás, Michał Oszmaniec,
"Mitigation of readout noise in near-term quantum devices
by classical post-processing based on detector tomography",
Quantum 4, 257 (2020)
[0... | python |
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