content stringlengths 5 1.05M |
|---|
import torch
import torch.nn as nn
from packaging import version
from mmcv.cnn import kaiming_init, normal_init
from .registry import INPUT_MODULES
from .utils import build_norm_layer
def conv1x1(in_planes, out_planes, stride=1):
"""1x1 convolution"""
return nn.Conv2d(in_planes, out_planes, kernel_size=1, ... |
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------
# Copyright © 2010, RedJack, LLC.
# All rights reserved.
#
# Please see the LICENSE.txt file in this distribution for license
# details.
# ----------------------------------------------------------------------
import unitt... |
#-*- coding: utf-8 -*-
#!/usr/bin/env python
from os import path
# dirs
BASE_DIR = path.dirname(path.realpath(__file__)) + '/'
MODULES_DIR = BASE_DIR + 'modules/'
AUDIO_DIR = BASE_DIR + 'audio/'
# api url (server)
SERVER_API_URL = 'http://localhost:3000/'
# voice lang
LANG = 'en-EN' |
""" Main entrypoint for starttls-policy CLI tool """
import argparse
import os
from starttls_policy_cli import configure
GENERATORS = {
"postfix": configure.PostfixGenerator,
}
def _argument_parser():
parser = argparse.ArgumentParser(
description="Generates MTA configuration file according to STARTTL... |
import numpy as np
class ValueLog():
"""Implemements a key/value aggregating dictionary log with optional
grouping/precision and custom aggregation modes"""
def __init__(self):
self.log_values = {}
def log(self, key, val, agg="mean", scope="get", group=None,
precision=None):
... |
from time import sleep
import threading
import datetime
import paho.mqtt.client as mqtt
#### CONSTANTS ####
#MQTTServer="home.bodhiconnolly.com"
MQTTServer="192.168.1.100"
MQTTPort=1882
waitTime=datetime.timedelta(milliseconds=50)
ledTopic="room/lights/strips/"
functionTopic="room/function/#"
systemTopic="system/fun... |
import json
import string
import random
import os
import httplib2
import requests
# Flask Imports
from flask import Flask, render_template, request, redirect, url_for, jsonify
from flask import abort, g, flash, Response, make_response
from flask import session as login_session
from flask_httpauth import HTTPBasicAuth
... |
# BaseOperator.py
#
# Base class for all machines and human operators.
#
# Attributes:
# name
# states: a list of states that this operator can be in, at any time. For example: ["busy", idle"]
# start_time: the time at which the behavior starts.
#
# Member functions:
# methods to change state, and print the fra... |
# coding=utf-8
import os
import unittest
from parameterized import parameterized
from conans.client.conf import default_settings_yml
from conans.model.editable_cpp_info import EditableCppInfo
from conans.model.settings import Settings
def _make_abs(base_path, *args):
p = os.path.join(*args)
if base_path:
... |
from dags.spark_common import SparkJobCfg, spark_job, user_defined_macros, EntityPattern
from dags.spark_common import dag_schema_path, hadoop_options, LOCAL_INPUT, LOCAL_DATAWAREHOUSE
from datetime import timedelta
from airflow import DAG
args = {
'owner': 'alexey',
'start_date': '2021-06-10'
}
dag = DAG(
... |
from .mesh import import_mesh
from .curve import import_curve
from .brep import import_brep
#from .default import import_default |
#!/usr/bin/python
import sdk_common
# Block in charge of tagging the release
class SDKNewsAndTag(sdk_common.BuildStep):
def __init__(self, logger=None):
super(SDKNewsAndTag, self).__init__('SDK News & Tag', logger)
self.branch_name = self.common_config.get_config().get_branch_name()
self.g... |
from .ast_transformers import InvertGenerator, transformAstWith
from .descriptor_magic import \
wrapMethodAndAttachDescriptors, BindingExtensionDescriptor
import six
import inspect
def coroutine(func):
def start(*args, **kwargs):
g = func(*args, **kwargs)
six.next(g)
return g
retur... |
import re
import xmlsec
from lxml import etree
def parse_tbk_error_message(raw_message):
message_match = re.search(r'<!--(.+?)-->', raw_message)
if message_match:
message = message_match.group(1).strip()
match = re.search(r'(.+?)\((\d+?)\)', message)
if match:
error = mat... |
import os
import djcelery
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'findingaids.settings')
os.environ['PYTHON_EGG_CACHE'] = '/tmp'
os.environ['VIRTUAL_ENV'] = '/home/httpd/findingaids/env/'
djcelery.setup_loader()
# from django.core.handlers.wsgi import WSGIHandler
# application = WSGIHandler()
from django.co... |
from acme import Product
import random
ADJECTIVES = ['Awesome', 'Shiny', 'Impressive', 'Portable', 'Improved']
NOUNS = ['Anvil', 'Catapult', 'Disguise', 'Mousetrap', '???']
def generate_products(n=30, price_range=(5, 10), weight_range=(5, 100)):
"""Generate n number of products within a specified price and weigh... |
import sys, os
sys.path.append('/Users/syrus/Proyectos/exercita/website/')
sys.path.append('/Users/syrus/Sites/exercita/')
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
TEMPLATE_EXAMPLE = '''<ul>
{% for gender in gender_list %}
<li>{{ gender.grouper }}
<ul>
{% for item in gender.list %}
... |
"""
My purpose in life is to take the NWS AWIPS Geodata Zones Shapefile and
dump them into the PostGIS database! I was bootstraped like so:
python ugcs_update.py z_16mr06 2006 03 16
python ugcs_update.py z_11mr07 2007 03 11
python ugcs_update.py z_31my07 2007 05 31
python ugcs_update.py z_01au07 2007 08 01
python ugc... |
import requests
import logging
from lxml import html
class HTDownloader():
def __init__(self, htid, res, i):
self.htid = htid
self.i = i
self.res = res
def get(self):
logging.debug("Download image: {}".format(self.i))
return down_img(self.htid, self.i, self.res)
... |
import asyncio
from contextlib import asynccontextmanager
from sys import version_info
from typing import AsyncIterator
import pytest
from aioredis import create_redis_pool
from aiohttp_client_cache.backends.redis import DEFAULT_ADDRESS, RedisBackend, RedisCache
from aiohttp_client_cache.session import CachedSession
... |
from django.contrib import admin
from .models import Book, Author, Publisher, Loaned
# Register your models here.
class BookAdmin(admin.ModelAdmin):
list_display = ('name', 'date_added')
search_fields = ["name"]
ordering = ["name"]
admin.site.register(Book, BookAdmin)
admin.site.register(Author)
admin.site.register... |
from .manage import *
|
#!/usr/bin/env 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
#... |
import blocksci
import re
import sys
chain = blocksci.Blockchain("/home/hturki/bitcoin-blocksci.bak")
address_file = open("/home/hturki/stackoverflow_addr_raw.txt", "r").read()
addresses = address_file[1:-1].split("', '")
len(addresses)
blocksci_addresses = {}
bad_addresses = set({addresses[10], addresses[18], addre... |
#!/usr/bin/env python
'''
We get the lidar point cloud and use it to determine if there are any obstacles ahead
Author:
Sleiman Safaoui
Email:
snsafaoui@gmail.com
Github:
The-SS
Date:
Oct 3, 2018
'''
# python
from __future__ import print_function
import numpy as np
import copy
import math
from numpy import pi
# RO... |
from rdflib import Literal
from .namespaces import BRICK, TAG, OWL
parameter_definitions = {
"Parameter": {
"tags": [TAG.Point, TAG.Parameter],
"subclasses": {
"Delay_Parameter": {
"tags": [TAG.Point, TAG.Delay, TAG.Parameter],
"subclasses": {
... |
input = """
male(john). republican(john).
male(matt). republican(matt).
female(joana). republican(joana).
female(luise). democrat(luise).
moreMaleRepublicans :-
#count{X:republican(X), female(X)} < N,
#count{Y: republican(Y), male(Y)} = N.
"""
output = """
male(john). republican(john).
... |
from auto_yolo import envs
from yolo_air_stage1 import durations, distributions, config
readme = "Running simple on addition task."
envs.run_experiment(
"addition-stage1", config, readme, alg="simple",
task="arithmetic2", durations=durations, distributions=distributions
)
|
from singledispatch import singledispatch
from sqlalchemy import types
from sqlalchemy.dialects import postgresql
from sqlalchemy.orm import interfaces
from graphene import (ID, Boolean, Dynamic, Enum, Field, Float, Int, List,
String)
from graphene.types.json import JSONString
try:
from sqla... |
#!/usr/bin/python
# TrayIcon
# Access to various monitoring capabilities (HIDS, dashboard, ip configuration, network recognition, etc.)
# Alerting plugin (IM notifications, irssi, OSSEC) that can help to display and monitor notification informations)
# Deamon plugin (sort of tail -f over selected files, RSS gathering... |
"""
Pipeline object class for EmrActivity
"""
from .activity import Activity
from ..config import Config
from .schedule import Schedule
from ..utils import constants as const
from ..utils.exceptions import ETLInputError
config = Config()
MAX_RETRIES = config.etl.get('MAX_RETRIES', const.ZERO)
class EmrActivity(Acti... |
from django.test import TestCase
from . models import Urls, Statistics
class UrlsTestClass(TestCase):
'''
Class that test the characterics of the Urls objects and its methods
'''
def setUp(self):
'''
Method that runs at the beginning of each test
'''
self.url = Urls(shor... |
import ipdb
import numpy as np
import os
from multiprocessing import Process, Queue, Lock
from moviepy.video.io.VideoFileClip import VideoFileClip as Video
import skvideo.measure as skv
from glob import glob
import csv
from tqdm import tqdm
def job(item):
fn, indir, outdir = item
outdir = os.path.splitext(fn.... |
from biocrnpyler import *
kb, ku, ktx, ktl, kdeg = 100, 10, 3, 2, 1
parameters = {"kb": kb, "ku": ku, "ktx": ktx, "ktl": ktl, "kdeg": kdeg}
myMixture = BasicExtract(name="txtl", parameters=parameters)
A1 = DNAassembly(name="G1", promoter="pBest",
rbs="BCD2", transcript="T1", protein="GFP", initial_co... |
from django.db import models
from django.conf import settings
from django import forms
# Create your models here.
class Dataset(models.Model):
name = models.CharField(max_length=200, null=True, blank=True)
owner = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.PROTECT)
columns = models.Intege... |
"""
OpenVINO DL Workbench
Class for annotate dataset job
Copyright (c) 2021 Intel Corporation
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
... |
from bs4 import BeautifulSoup
from contextlib import suppress
RUN_EXAMPLE = 2
class Match:
"""
This class stores information about a class
"""
def __init__(self, team1: str, team2: str, state, _, score1: int, score2: int):
self.team1 = self._sanitize(team1)
self.team2 = se... |
from django.apps import AppConfig
class AwewardsConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'awewards'
|
from setuptools import setup, find_packages
with open("requirements.txt") as f:
requirements = f.readlines()
long_description = "Automated tool to provision Greengrass 2.0"
setup(
name="ggv2_provisioner",
version="0.0.8",
author="Gavin Adams",
author_email="gavinaws@amazon.com",
url="https://... |
'''
Load the CIOD module tables from DICOM Standard PS3.3, Annex A.
All CIOD tables are defined in chapter A of the DICOM Standard.
Output the tables in JSON format, one entry per CIOD.
'''
from typing import List, Tuple
import sys
import re
from bs4 import Tag
from dicom_standard import parse_lib as pl
from dicom_st... |
import requests
import json
import yaml
def checkDomains(domains):
url = 'https://www.virustotal.com/vtapi/v2/url/report'
scans = []
for dom in domains:
params = {'apikey':getApiKey('vt'), 'resource':dom}
try:
response = requests.get(url, params=params)
scans.append... |
from torchvision import models
import torch.nn as nn
class model(nn.Module):
def __init__(self, input_dim, output_dim):
super(model, self).__init__()
self.restored = False
self.input_dim = input_dim
self.output_dim = output_dim
num = len(input_dim)
feature = []
for i in range(num):
feature.append(
... |
INSTRUCTIONS = """
"""
from utils.decorators import time_this
@time_this
def solution(inputs):
"""
"""
test_case_inputs = [
]
|
class SilkObject:
__slots__ = []
def __ne__(self, other):
return not self.__eq__(other)
class SilkStringLike(SilkObject):
__slots__ = []
from . import primitives
|
from .transpose import transpose
|
from functools import partial
from flask import Blueprint, current_app, g
from api.client import SecurityTrailsClient, ST_OBSERVABLE_TYPES
from api.mappings import Mapping
from api.schemas import ObservableSchema
from api.utils import get_json, jsonify_data, get_key, jsonify_result
enrich_api = Blueprint('enrich', _... |
from sqlite3 import dbapi2 as sqlite3
from flask import Flask, request, session, g, redirect, url_for, abort, \
render_template, flash, _app_ctx_stack
import requests, os
from bs4 import BeautifulSoup
# configuration
try:
DATABASE = 'simply-billboard.db'
DEBUG = True
SECRET_KEY = 'development key'
USERNAME = ... |
#!/usr/bin/env python
# Copyright 2015 Dmitriy Robota.
#
# 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 applica... |
from settings import *
class BonusBox:
def __init__(self, data, gui):
self.boxID = int(data["boxID"])
self.x = int(data["x"])
self.y = int(data["y"])
self.type = int(data["type"])
self.size = 2
self.gui = gui
if self.type == 1: # cargo
... |
# Copyright (c) 2016, Ethan White
# 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 list of conditions and... |
from validator.rule_pipe_validator import RulePipeValidator as RPV
from validator import rules as R
from validator import Validator, validate, validate_many, rules as R
def test_rpv_001_simple():
data = "10"
# with integer
rules = [R.Integer(), R.Size(10)]
rpv = RPV(data, rules)
assert rpv.execut... |
import os
import random
class Hangman():
def __init__(self):
self.word = self.pick_random_word()
self.word = self.word.upper()
self.hidden_word = ["-" for character in self.word]
self.word_length = len(self.word)
self.used_letters = []
self.running = True
... |
def test_add_pet(client, jwt):
r = client.post(
"/pets",
json=dict(
pet_type="cat",
name="tospik",
breed="persian",
owner="emreisikligil"
),
headers=dict(Authorization=f"Bearer {jwt}")
)
assert r.status_code == 201
body = r.... |
import asyncio
import youtube_dl
import urllib.request
import datetime
from bot_client import *
global queue
queue = []
global nowPlaying
nowPlaying = []
global ytdl_opts
ytdl_opts = {
'format': 'bestaudio/best',
#'ignoreerrors': True,
#'no_warnings': True,
#'debug_pr... |
# --- import --------------------------------------------------------------------------------------
import os
import numpy as np
import WrightTools as wt
from . import _pulse
from ._scan import Scan
# --- define --------------------------------------------------------------------------------------
here = os.pa... |
import torch
from torch import nn
from torch.nn import functional as F
from typing import List
from resnet_layer import ResidualLayer
class ConvDecoder(nn.Module):
def __init__(self,
in_channels: int,
embedding_dim: int,
hidden_dims: List = [128, 256],
... |
from dassl.engine import TRAINER_REGISTRY
from dassl.engine.trainer import TrainerMultiAdaptation
from dassl.data import DataManager
from dassl.utils import MetricMeter
from torch.utils.data import Dataset as TorchDataset
from dassl.optim import build_optimizer, build_lr_scheduler
from dassl.utils import count_num_para... |
'''
A data model focused on material objects.
'''
import synapse.lib.module as s_module
class MatModule(s_module.CoreModule):
def getModelDefs(self):
modl = {
'types': (
('mat:item', ('guid', {}), {'doc': 'A GUID assigned to a material object.'}),
('mat:spec', (... |
from .test_utils import *
print('#############################################')
print('# TESTING OF MainDeviceVars MODEL FUNCTIONS #')
print('#############################################')
@tag('maindevicevars')
class MainDeviceVarsModelTests(TestCase):
def setUp(self):
from utils.BBDD import... |
from flask import request
from .argument import ListArgument
class QueryStringParser:
""" A class to parse the query string arguments"""
@staticmethod
def parse_args(qs_args_def):
""" Parse the query string """
qs_args_dict = QueryStringParser.args_def_to_args_dict(qs_args_def)
... |
from machine import Pin, Timer
import utime
SOUND_SPEED = 0.0343 # in second
CM_TO_INCH = 0.393701
CM_TO_FEET = 0.0328084
trigger = Pin(16, Pin.OUT)
echo = Pin(17, Pin.IN)
def get_distance(timer):
trigger.high()
utime.sleep(0.0001)
trigger.low()
start = 0
stop = 0
while echo.value()... |
# Copyright (c) 2019 Microsoft Corporation
# Distributed under the MIT software license
from ..postprocessing import multiclass_postprocess
import numpy as np
def test_multiclass_postprocess_smoke():
n = 1000
d = 2
k = 3
b = 10
X_binned = np.random.randint(b, size=(d, n))
feature_graphs = []... |
import requests
import base64
from datetime import datetime
from datetime import timedelta
from collections import UserString
class RefreshingToken(UserString):
def __init__(self, token_url, client_id, client_secret, initial_access_token, initial_token_expiry, refresh_token,
expiry_offset=60, p... |
#FLM: AT Font Info: Andres Torresi
#configurar
nombreFamilia='Tagoni'
nombreDisenador='Andres Torresi'
emailDisenador='andres@huertatipografica.com.ar'
urlDisenador='http://www.andrestorresi.com.ar'
urlDistribuidor='http://www.huertatipografica.com.ar'
year='2012'
##
from robofab.world import CurrentFont
# all the ... |
#import sys
import select, queue
from .pool import Pool
from .io import open_listenfd, sys
def main(*args, **kwargs):
"""
@params: init project
"""
if len(sys.argv) != 2:
print("Usage: %s ports", sys.argv[0])
sys.exit(1)
assert len(sys.argv) != 2
port = sys.argv[1] #type: in... |
# -*- coding:utf-8 -*-
# coding=<utf8>
from django.db import models
# Модели для логирования действий пользователей с активами
class Logging(models.Model):
user = models.CharField(max_length=140)
request = models.TextField(blank = True, null = True)
goal = models.TextField(blank = True, null = True)
d... |
#%% [markdown]
# # Basic of Beamforming and Source Localization with Steered response Power
# ## Motivation
# Beamforming is a technique to spatially filter out desired signal and surpress noise. This is applied in many different domains, like for example radar, mobile radio, hearing aids, speech enabled IoT devices.
#... |
import os
import shutil
import click
from datetime import datetime, timedelta
from flask import current_app as app
from sqlalchemy.sql.expression import false
from alexandria.settings.extensions import db
__author__ = 'oclay'
@click.command()
@click.option('--username', prompt=True, help='The username for the admin... |
#!/usr/bin/python
from singularity.package import calculate_similarity
from singularity.utils import check_install
import pickle
import sys
import os
pkg1 = sys.argv[1]
pkg2 = sys.argv[2]
output_file = sys.argv[3]
# Check for Singularity installation
if check_install() != True:
print("You must have Singularity i... |
#!/usr/bin/env python
"""odeint.py: Demonstrate solving an ordinary differential equation by using
odeint.
References:
* Solving Ordinary Differential Equations (ODEs) using Python
"""
from scipy.integrate import odeint
import numpy as np
import matplotlib.pyplot as plt
# pylint: disable=invalid-name
# Solve y''(t... |
print('-='*20)
print('Analisador de Triângulos')
print('-='*20)
r1 = float(input('Primeiro Segmento: '))
r2 = float(input('Segundo Segmento: '))
r3 = float(input('Terceiro Segmento: '))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r1 + r2:
print('Os segmentos acima PODEM formar um triângulo.')
else:
print('Os segm... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This command generates cs_pb2.py and cs_pb2_grpc.py files from cs.proto. These files are necessary
for the execution of gRPC client and gRPC control server.
"""
from subprocess import call
call("python3 -m grpc_tools.protoc -I. --python_out=. --grpc_python_out=. cloud... |
from .account import GroupSerializer, UserSerializer
from .resource import ResourceSerializer
__all__ = ["UserSerializer", "GroupSerializer", "ResourceSerializer"]
|
#!/usr/bin/python3.7
# Copyright 2020 Aragubas
#
# 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 sys
sentence = ''
with open(sys.argv[1],'r') as file:
for i in file:
data = i.split()
if (len(data) != 0):
if(data[-1] =='E'):
sentence += data[0]+" "
else:
sentence += data[0]
... |
from functools import reduce
num = '7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828... |
import numpy as np
import matplotlib.pyplot as plt
x = np.array([1., 2., 3., 4., 5.])
y = np.array([1., 3., 2., 3., 5.])
plt.scatter(x, y)
plt.axis([0, 6, 0, 6])
plt.show()
x_mean = np.mean(x)
y_mean = np.mean(y)
num = 0.0
d = 0.0
for x_i, y_i in zip(x, y):
num += (x_i - x_mean) * (y_i - y_mean)
d += (x_i - x_m... |
import pika
from collections import deque
class Messaging():
def __init__(self, identity):
self._connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
self._channel = self._connection.channel()
self._queue = None
self._identity = identity
self._c... |
#Desenvolva um gerador de tabuada
n = int(input("Tabuada de que número? "))
i = 0
while i < 10:
print("{} X {} = {}".format(n, i + 1, (n*(i + 1))))
i = i + 1
|
# Register your models here.
from django.contrib import admin
from .models import Photo, Metadata, Album
admin.site.register(Photo)
admin.site.register(Metadata)
admin.site.register(Album)
|
t = 5
sentences = []
while t:
sentences.append(input("Podaj zdanie")+"\n")
t -= 1
f = open("sentence.txt", "w")
for i in sentences:
f.write(i)
f.close()
f = open("sentence.txt", "a")
f.writelines(sentences)
f.close()
f = open("sentence.txt", "r")
for line in f:
print(line, end="")
f.close()
f = open... |
import toml
output_file = ".streamlit/secrets.toml"
with open("project-327006-2314b3476b3a.json") as json_file:
json_text = json_file.read()
config = {"textkey": json_text}
toml_config = toml.dumps(config)
with open(output_file, "w") as target:
target.write(toml_config)
|
from setuptools import find_packages, setup
setup(
name='robotframework-historic',
version="0.2.9",
description='Custom report to display robotframework historical execution records',
long_description='Robotframework Historic is custom report to display historical execution records using MySQL ... |
import numpy as np
import random
import math
import cmath
import itertools
from tqdm import tqdm
from PIL import Image
from matplotlib import cm
def log_density_map(val, max_count):
brightness = math.log(val) / math.log(max_count)
gamma = 3.2 #7.2
brightness = math.pow(brightness, 1... |
from typing import *
# extmod/modtrezorcrypto/modtrezorcrypto-bip32.h
class HDNode:
'''
BIP0032 HD node structure.
'''
def __init__(self,
depth: int,
fingerprint: int,
child_num: int,
chain_code: bytes,
private_key: b... |
import django.core.management.base as djcmb
import anwesende.room.models as arm
import anwesende.users.models as aum
class Command(djcmb.BaseCommand):
help = "Silently creates group 'datenverwalter'"
def handle(self, *args, **options):
aum.User.get_datenverwalter_group() # so admin has it on first ... |
'''
English_digits = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
Below is marathi numbers list
This program will convert the input number into english number
'''
marathi_digits = ['०', '१', '२', '१', '४', '५', '६', '७', '८', '९']
a = input("Enter marathi digit: ")
if a in marathi_digits:
print("English Digi... |
# This file is part of sner4 project governed by MIT license, see the LICENSE.txt file.
"""
storage hosts views
"""
from datatables import ColumnDT, DataTables
from flask import jsonify, redirect, render_template, request, url_for
from sqlalchemy import func, literal_column
from sqlalchemy_filters import apply_filters... |
import platform
import sys
class AppMapPyVerException(Exception):
pass
# Library code uses these, so provide intermediate
# functions that can be stubbed when testing.
def _get_py_version():
return sys.version_info
def _get_platform_version():
return platform.python_version()
def check_py_version():
... |
'''
GaussGammaDistr.py
Joint Gaussian-Gamma distribution: D independent Gaussian-Gamma distributions
Attributes
--------
m : mean for Gaussian, length D
kappa : scalar precision parameter for Gaussian covariance
a : parameter for Gamma, vector length D
b : parameter for Gamma, vector length D
'''
import numpy as n... |
import torch
from .defaults import get_default_config
def update_config(config):
if config.dataset.name in ['CIFAR10', 'CIFAR100']:
dataset_dir = f'~/.torch/datasets/{config.dataset.name}'
config.dataset.dataset_dir = dataset_dir
config.dataset.image_size = 32
config.dataset.n_cha... |
from time import sleep
import logging
import pytest
from common.utils import resize_browser
from common.asserts import assert_customer_logo, assert_customer_testimonial, assert_typography, assert_overflowing
from common.svb_form import assert_required_fields_top, assert_bad_email_top, assert_non_business_email_top, ass... |
# -*- coding: utf-8 -*-
import glob
import re
import json
import os
import shutil
from PIL import Image
import numpy as np
from keras.preprocessing.image import img_to_array, load_img
# 画像サイズ
IMAGE_SIZE = 224
# チャネル数
CHANNEL_SIZE = 3
# ラベル作成
def make_label_list():
# ディレクトリのパスを取得
dir_path_list = glob.glob('im... |
from django import forms
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from .models import CustomUser
class CustomUserCreationForm(UserCreationForm):
password1 = forms.CharField(
label= ("Password"),
strip=False,
widget=forms.PasswordInput,
)
password2 = for... |
'''
Created on Sep 20, 2013
@author: nshearer
'''
from ConsoleYesNoQuestion import ConsoleYesNoQuestion
class ConsoleActionPrompt(ConsoleYesNoQuestion):
'''Present an action prompt on the console'''
# def __init__(self, question):
# super(ConsoleActionPrompt, self).__init__(question)
... |
import sedate
from datetime import timedelta, time
from itertools import groupby
from sqlalchemy import types
from sqlalchemy.schema import Column
from sqlalchemy.schema import Index
from sqlalchemy.schema import UniqueConstraint
from sqlalchemy.orm import object_session
from sqlalchemy.orm.util import has_identity
... |
from collections.abc import Mapping
import shelve
import random
import time
class ConcurrentShelf(Mapping):
def __init__(self, file_name, time_out_seconds=60):
self._file_name = file_name
self._time_out_seconds = time_out_seconds
self._locked_shelf = None
shelf = self._open(write=T... |
from flask import Blueprint, request, jsonify
from ortools.sat.python import cp_model
import numpy
bp = Blueprint('optimize', __name__)
@bp.route('/', methods=['POST'])
def recieve_data():
model = model = cp_model.CpModel()
juniors = request.get_json()[0]
boat_parameters = request.get_json()[... |
import os
import re
import datetime
from mod_python import apache
NOW = str(datetime.datetime.utcnow().strftime("%s"))
DUMP_DIR="/var/www/html/dump"
if not os.path.exists(DUMP_DIR):
os.makedirs(DUMP_DIR)
def index(req):
if not 'file' in req.form or not req.form['file'].filename:
return "Error: Please upload a fi... |
# Ryan McCarthy, rbmccart@usc.edu
# ITP 115, Fall 2020
# Assignment 4
# Description:
# Part 1 takes a sentence from the user and counts the number of times a letter or special character appear
# this info is returned to the user
# Part 1: this gets the sentence
sentence = input('PART 1 - Character Counter\nPlease ente... |
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