content stringlengths 0 894k | type stringclasses 2
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# Generated by Django 3.1.2 on 2020-10-29 00:29
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('categories', '0001_initial'),
]
operations = [
migrations.CreateModel(
name... | python |
#!/usr/bin/python2
import argparse
import traceback
from os.path import exists
from selenium import webdriver
from selenium.webdriver.common.by import By
import ipdb
from time import sleep
from random import random
from telegram_send import send
import re
from datetime import datetime
import pickle
def update_price_h... | python |
#!/usr/bin/env python
# Copyright 2013 Brett Slatkin
#
# 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 o... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright(c) 2020 De Montfort University. All rights reserved.
#
#
"""
Find all solutions script.
Written for use with the Gunport Problem solving scripts.
"""
import numpy as np
import common as cmn # Common defines and functions
__author__ = 'David Kind... | python |
from django.shortcuts import render
from django.http import HttpResponse
from django.contrib import messages
from test1.player_performance import player_stats
# Create your views here.
def home(Request):
# Go to Homepage
return render(Request, 'homepage.html')
def search(Request):
# If users enter correct player ... | python |
#!/usr/bin/env python
import argparse, grp, pwd, os, sys, tarfile
def main(argv):
parser = argparse.ArgumentParser(description='Extract a tar archive using simple I/O.', add_help = False)
parser.add_argument('-?', '-h', '--help', help='Display this message and exit', action='store_true', dest='help')
pars... | python |
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.3
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
... | python |
from itertools import chain, repeat
from six.moves import cStringIO as StringIO
from . import builtin
from .file_types import source_file
from .. import safe_str
from .. import shell
from ..backends.make import writer as make
from ..backends.ninja import writer as ninja
from ..build_inputs import Edge
from ..file_type... | python |
import os
import yaml
filepath = os.path.join(os.path.curdir, "config", "settings.yml")
def __get_setting():
with open(filepath, encoding="utf-8")as f:
return yaml.load(f)
def app_id():
return __get_setting()["YOLP"]["appid"]
def coordinates():
return __get_setting()["coordinates"]
def sla... | python |
import datetime
import os
import sys
import quickfix as fix
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import app.pricefeed
import app.pxm44 as pxm44
DATA_DICTIONARY = fix.DataDictionary()
DATA_DICTIONARY.readFromURL('spec/pxm44.xml')
# 20 level book
MSG = fix.Message('8=FIX.4... | python |
import pandas as pd
from ml2_mini_project.dataPrep.apply_moving_average import apply_moving_average
from ml2_mini_project.dataPrep.apply_pct_change import apply_pct_change
from ml2_mini_project.dataPrep.collapse_dataframe_into_new import \
collapse_dataframe_into_new
from ml2_mini_project.dataPrep.normalize_by_col... | python |
# SPDX-License-Identifier: MIT
# Copyright (c) 2022 MBition GmbH
from typing import Any, Dict, List, Optional, Union, Type
from ..odxtypes import DataType
from ..utils import read_description_from_odx
from ..globals import logger
from .compumethodbase import CompuMethod
from .compuscale import CompuScale
from .iden... | python |
import unittest
import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE',
'MCwebDjango.settings')
import django
django.setup()
from django.utils import timezone
from mcwebapp.models import *
from django.contrib.auth.models import User
def populate():
curr_time = timezone.now()
# Create superuser.
... | python |
import anki_vector
import time
def main():
args = anki_vector.util.parse_command_args()
with anki_vector.Robot() as robot:
for _ in range(10):
if robot.proximity.last_sensor_reading:
distance = robot.proximity.last_sensor_reading.distance
print("====... | python |
import datetime
from enum import Enum
class Escape(Enum):
BEGIN = '\033\033[92m'
END = '\033[0m'
_dayName = {1:'Mo',2:'Tu',3:'We',4:'Th',5:'Fr',6:'Sa',7:'Su'}
def _title(year,month):
date = datetime.date(year,month,1)
return '{0:^21}'.format(date.strftime('%B'))
def _dayHead(nday=37):
out = ''... | python |
import torch
import torchvision
from torch.utils.data import DataLoader, Subset
import pytorch_lightning as pl
import torchvision.transforms as transforms
from torchvision.datasets import ImageFolder
import os, sys
from glob import glob
import cv2
from PIL import Image
sys.path.append('../')
from celeba.dataset impor... | python |
from enum import Enum
from typing import Optional, List
from happy_config.typechecking.types import Type, StructuralType, PrimitiveType
from happy_config.typechecking.typecheck_error import TypeCheckError, TypeMismatch, InvalidField, InvalidEnumValue
def check_type(x, tp: Type) -> Optional[TypeCheckError]:
def co... | python |
"""
Example:
Solving nonsmooth problem
#K|x1| + |x2| -> min
#x0 = [10^4, 10]
x_opt = all-zeros
f_opt = 0
"""
from numpy import *
from openopt import NSP
K = 10**3
f = lambda x: abs(x[0]) + abs(x[1])*K + abs(x[2]) * K**2
x0 = [1000, 0.011, 0.01]
#OPTIONAL: user-supplied gradient/subgradient
df = lambda x: [sign(x[0... | python |
from part1 import (
gamma_board,
gamma_busy_fields,
gamma_delete,
gamma_free_fields,
gamma_golden_move,
gamma_golden_possible,
gamma_move,
gamma_new,
)
"""
scenario: test_random_actions
uuid: 522367919
"""
"""
random actions, total chaos
"""
board = gamma_new(5, 4, 3, 2)
assert board is... | python |
import name_lib_main
my_name = "Fred"
my_length = name_lib_main.name_length(my_name)
my_lower_case = name_lib_main.lower_case_name(my_name)
print(f"In my code, my length is {my_length} and my lower case name is: {my_lower_case}") | python |
# -*- coding: utf-8 -*-
"""
@Time : 2018/1/25 14:04
@Author : Elvis
zsl_resnet.py
for m in self.fc1:
if hasattr(m, 'weight'):
orthogonal(m.weight)
"""
import numpy as np
import torch
from torch import nn
import torch.nn.functional as F
from torch.autograd import Variable
from torchvision.models import ... | python |
#!/usr/bin/env python
"""
Usage: explain_lm FST STR
Explain the cost assigned to a string STR by the fst FST.
"""
def main(fst_path, string):
fst = FST(fst_path)
s = string.replace('<noise>', '%')
subst = {'^': '<bol>', '$': '<eol>', ' ': '<spc>', '%': '<noise>'}
fst.explain([subst.get(c, c) for c in... | python |
from __future__ import division
import random
import os
import numpy as np
import pickle
import datetime
import json
class Decision(object):
def __init__(self, pair, result, reviewer, time):
self.pair = pair
self.result = result
self.reviewer = reviewer
self.time = time
def dic... | python |
from setuptools import setup, find_packages
setup(
name = 'aes',
version = '1.0.0',
description = 'AES(Advanced Encryption Standard) in Python',
author = 'Donggeun Kwon',
author_email = 'donggeun.kwon@gmail.com',
url = 'https://github.com/Don... | python |
from typing import NamedTuple, Optional, Tuple
import numpy as np
from cgtasknet.tasks.reduce.reduce_task import (
_generate_random_intervals,
ReduceTaskCognitive,
ReduceTaskParameters,
)
class RomoTaskParameters(NamedTuple):
dt: float = ReduceTaskParameters().dt
trial_time: float = 0.25
ans... | python |
# -*- coding: utf-8 -*-
"""
Created on Fri May 10 09:24:08 2019
@author: zjrobbin
"""
w_dir='E:/Maca_Climate_Files_Sapps/'
## Librarys
from datetime import datetime, timedelta
from netCDF4 import num2date, date2num
import matplotlib.pyplot as plt
import geopandas
import rasterio as rt
import numpy as n... | python |
from tortoise import fields
from tortoise.models import Model
from app.db.base import ModelTimeMixin
__all__ = ['Store']
class Store(Model, ModelTimeMixin):
"""店铺"""
id = fields.IntField(pk=True)
name = fields.CharField(unique=True, max_length=64, description='店铺名称')
desc = fields.CharField(null=T... | python |
import numpy as np
from pymoo.algorithms.soo.nonconvex.es import ES
from pymoo.docs import parse_doc_string
from pymoo.core.survival import Survival
from pymoo.util.function_loader import load_function
class StochasticRankingSurvival(Survival):
def __init__(self, PR):
super().__init__(filter_infeasible=... | python |
from ismo.ensemble import run_all_configurations
import json
import git
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description="""
Runs the ensemble for M different runs (to get some statistics).
""")
parser.add_argument('--script_name', type=str, required=True,
... | python |
"""This module contains helper functions to use the Paho MQTT library with the
MQTT broker defined in a :class:`.MQTTConfig` object.
"""
import json
from paho.mqtt.publish import single
def auth_params(mqtt_config):
"""Return the authentication parameters from a :class:`.MQTTConfig`
object.
Args:
... | python |
import logging as log
import imp
from imagebot import pysix
class MonitorException(Exception):
pass
def start_tk_monitor(outpipe):
from imagebot.monitor_tk import Monitor #Tkinter will have to be imported in its own process for Tk to work
mon = Monitor(outpipe)
mon.start()
def start_gtk_monitor(outpipe):
f... | python |
# -*- coding: utf-8 -*-
# @Time : 2020/3/7 10:39 PM
# @Author : zyk
# @Email : zhangyongke1105@163.com
# @File : my_test.py
# @Software : PyCharm
# 在列表之间移动元素
# 首先，创建一个待验证码用户列表，和一个用于存储已验证用户的空列表
unconfirmed_users = ['alic', 'brian', 'candace']
confirmed_users = []
# 验证每个用户，直到没有未验证的用户为止，并将每个验证过的用户都添加到已验证用户列表中
w... | python |
from sklearn.preprocessing import StandardScaler as StdScaler
from niaaml.preprocessing.feature_transform.feature_transform_algorithm import (
FeatureTransformAlgorithm,
)
__all__ = ["StandardScaler"]
class StandardScaler(FeatureTransformAlgorithm):
r"""Implementation of feature standard scaling algorithm.
... | python |
import cairosvg
import cv2
import numpy as np
import sys
from PIL import Image
# board = 'stm32tiny'
board = 'HermitL'
board = 'HermitR'
board = 'ZoeaR'
layer = 'F_Paste'
layer = 'B_Paste'
root = '/Users/akihiro/repos/Hermit/{}/'.format( board )
path_png = root + 'layer/{}-{}.png'.format( board, layer )
path_bmp = roo... | python |
import sys
import optparse
from .generate_pyt_meta import meta_toolbox
def parse_options(args=None, values=None):
"""
Define and parse `optparse` options for command-line usage.
"""
usage = """%prog [options] [TOOLBOX_PATH]"""
desc = "Generate ArcGIS Metadata from markdown'd toolbox code. "
... | python |
class readInfo:
| python |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 23 17:47:14 2021
@author: keikei
"""
"""
Given a string s containing just the characters '(', ')', '{', '}', '[' and ']',
determine if the input string is valid.
An input string is valid if:
Open brackets must be closed by the same type of brackets.
Open brackets must... | python |
class Supplier:
def __init__(self, location, frequency):
self.location = location
self.frequency = frequency | python |
import pstat
import copy
import support
from typed_math import pow, sqrt, exp, abs, fabs, log, round, pi
####################################
####### FREQUENCY STATS ##########
####################################
def itemfreq(inlist:List(float))->List(List(float)):
"""
Returns a list of pairs. Each pair consi... | python |
from app_base import *
from app_data import *
import etk_helper
@api.route('/projects/<project_name>/actions/project_config')
class ActionProjectConfig(Resource):
@requires_auth
def post(self, project_name): # frontend needs to fresh to get all configs again
if project_name not in data:
... | python |
import json
from ..customlogging import CustomLog
class Tradier(object):
def __init__(self, httpclient, httpclient_streaming, token):
self.httpclient_streaming = httpclient_streaming
self.streams = Tradier.Streams(self)
self.httpclient = httpclient
self.token = token
self.... | python |
r"""
Core collapse supernova explosion engines: explodability as a function of
progenitor mass in solar masses as reported by the Sukhbold et al. (2016) [1]_
models.
**Signature**: from vice.yields.ccsne.engines import S16
.. versionadded:: 1.2.0
.. tip:: Instances of the ``engine`` class can be passed the keyword a... | python |
#!/usr/bin/env python
# this script should work with almost any python version, I think
import argparse
import glob
import json
def get_replacement_lines():
replacements = []
for file in glob.glob('./json/*.json'):
with open(file) as fp:
data = json.load(fp)
value = list(data.val... | python |
from .models import Category
def common(request):
category=Category.objects.all()
context={
'category':category
}
return context | python |
#!/usr/bin/env python
import time
import argparse
import hashlib,binascii
import krbKeyCrack
import krbKeyGenerate
if __name__ == '__main__':
# Command line arguments
parser = argparse.ArgumentParser(description="Kerberos POC Benchmark")
parser.add_argument('wordlist', nargs='?', default = "/usr/share/wor... | python |
default_app_config = "BICAPweb.apps.BICAPwebConfig"
| python |
import torch
import torch.nn as nn
import torch.nn.functional as F
class DQNetwork(nn.Module):
"""My Deep Q Network"""
# Go for an architecture that worked for the lunar lander mini project
# Had a simple architecture with two dropout layers.
def __init__( self, state_size, action_size, seed, fc_u... | python |
from __future__ import print_function, division
import numpy as np
import pandas as pd
import datetime
NAN = object()
def add_dal_fields(in_path, out_path):
ra = np.load(in_path)['x']
names = ra.dtype.names
columns = {nm : ra[nm] for nm in names}
df = pd.DataFrame(columns)
dates = []
dates = [... | python |
from django import forms
from django.forms import formset_factory
class UserRegistrationForm(forms.Form):
username = forms.CharField(
required = True,
label = 'Username',
max_length = 32
)
email = forms.CharField(
required = True,
label = 'Email',
max_length ... | python |
"""
Static Data extractor
extract_human_gene_orthologues:
extract_phenotyping_centres:
extract_ontology_terms:
"""
import os
from typing import List
from pyspark.sql import DataFrame, SparkSession
from pyspark.sql.types import StructType, StructField, StringType, ArrayType
from owlready2 import get_ontology... | python |
# Generated by Django 3.2.7 on 2021-10-28 15:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("kite_runner", "0003_article_tag"),
]
operations = [
migrations.AddField(
model_name="profile",
name="favourites",
... | python |
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def maxAncestorDiff(self, root: TreeNode) -> int:
ans = [0]
def dfs(node, a, b):
if node:
a, ... | python |
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
import libs.model_common
# X:(M,T,N,N)=>(M*N,T,N), Y:(M,N,N)=>(M*N,N)
def placeholder(T, F_in, F_out):
samples = tf.compat.v1.placeholder(shape = (None,T, F_in), dtype = tf.float32,name="samples")
labels = tf.compat.v1.placeholder(shape = (None, F_out... | python |
import os
import sys
import glob
import math
import collections
import itertools
import torch
from abc import ABC, abstractproperty
from deepsplines.datasets import init_dataset
from deepsplines.dataloader import DataLoader
from deepsplines.ds_utils import size_str
from deepsplines.ds_utils import dict_recursive_merge... | python |
"""
Let's get the relationships yo
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
from torch.autograd import Variable
from torch.nn import functional as F
from torch.nn.utils.rnn import PackedSequence
from lib.resnet import resnet_l4
from config import BATCHNORM_MOMENTUM, IM_SCALE
f... | python |
import codecs
import re
import string
from markdown import markdown
from django.utils.safestring import mark_safe
bracket_extract = re.compile(r"<.*?>(.*?)<\/.*?>")
class MarkDownView(object):
"""
allows for a basic view where a markdown files is read in and rendered
Give the class a markdown_loc v... | python |
#
# PySNMP MIB module ONEACCESS-ACL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ONEACCESS-ACL-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:24:52 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | python |
from __future__ import absolute_import
import logging
from flask import Blueprint, request, g, abort
from huskar_api import settings
from huskar_api.extras.concurrent_limiter import (
check_new_request, release_request, ConcurrencyExceededError)
from huskar_api.switch import switch, SWITCH_ENABLE_CONCURRENT_LIMI... | python |
import bmtrain as bmt
def main():
bmt.init_distributed()
bmt.print_rank("======= All Gather =======")
bmt.benchmark.all_gather()
bmt.print_rank("===== Reduce Scatter =====")
bmt.benchmark.reduce_scatter()
if __name__ == '__main__':
main() | python |
from django.db import models
# Create your models here.
# a cleaned up version of the old comments model, django-ready.
class Comment(models.Model):
CID = models.IntegerField(primary_key=True,unique=True,editable=False,)
requestTime = models.DateTimeField()
name = models.CharField(max_length=120,null=True... | python |
"""Example demonstrating a basic usage of choke package."""
from time import sleep
from redis import StrictRedis
from choke import RedisChokeManager, CallLimitExceededError
REDIS = StrictRedis() # Tweak this to reflect your setup
CHOKE_MANAGER = RedisChokeManager(redis=REDIS)
# Example configuration: enforce limit o... | python |
# -*- coding: utf-8 -*-
#
from __future__ import absolute_import, unicode_literals
import uuid
import pytest
import mock
import avalon.cache
import avalon.models
def test_get_frozen_mapping():
mapping = {'foo': set(['zing', 'zam', 'zowey'])}
frozen = avalon.cache.get_frozen_mapping(mapping)
assert 'foo... | python |
from pythonforandroid.recipe import Recipe
from pythonforandroid.logger import shprint
from pythonforandroid.util import current_directory
from os.path import join
import sh
class SnappyRecipe(Recipe):
version = '1.1.7'
url = 'https://github.com/google/snappy/archive/{version}.tar.gz'
built_libraries = {'... | python |
import os
os.system("cls")
def both():
folder = input("Enter path to directory: ")
os.system("cls")
print(f"WARNING, this will rename every file in the directory: {folder}!")
name = input(f"Enter new name for files: ")
os.system("cls")
print("WARNING, this could cause problems if file extention... | python |
import sys
import unittest
from unittest import mock
from unittest.mock import MagicMock, Mock
sys.modules['w1thermsensor'] = MagicMock()
from sensors.ground_temperature_sensor import GroundTemperatureSensor
class TestGroundTemperatureSensor(unittest.TestCase):
@mock.patch('sensors.ground_temperature_sensor.Sens... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2021/11/23 下午3:09
from api.channel import channel
from util.data_util import data_pool
from util.faker_util import fakerist
# 创建报名活动并开启
def add_channel_random():
kwargs = data_pool.supply('channel.yml', 'add_channel')[0]
fake = "Asctrio" + fakerist.m... | python |
import hashlib
from Crypto.Cipher import AES
class Crypto:
SALT = "@uhooinc.com"
def __init__(self, clientCode):
self.key = hashlib.md5(
clientCode.encode("utf-8")
).digest() # initialization key
self.length = AES.block_size # Initialize the block size
self.aes =... | python |
#!/usr/bin/env python3
import shlex
import shutil
import pwncat
from pwncat.modules import Bool, List, Status, Argument, BaseModule, ModuleFailed
from pwncat.platform.windows import Windows, PowershellError
class Module(BaseModule):
"""
Load the Invoke-BloodHound cmdlet and execute it. Automatically download... | python |
import Cptool.config
from Cptool.gaMavlink import GaMavlink
if __name__ == '__main__':
GaMavlink.extract_from_log_path(f"./log/{Cptool.config.MODE}")
| python |
from __future__ import print_function
import os, sys
import numpy as np
np.random.seed(1234) # for reproducibility?
import warnings
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=DeprecationWarning)
import lasagne
os.environ["THEANO_FLAGS"] = "cuda.root=/usr/local/cuda,device=gpu,fl... | python |
# -* encoding: utf-8 *-
import logging
from collections import OrderedDict
from typing import Tuple, Dict, Optional
from django.contrib.auth import hashers
from django.core.exceptions import ValidationError
from django.http import HttpRequest
from django.utils.translation import ugettext_lazy as _
from typing import U... | python |
import torch
import numpy as np
import random
import torch.utils.data as data
import sys
sys.path.append("../../../")
"""
Dataset class for creating the shuffling dataset.
"""
class SetShufflingDataset(data.Dataset):
def __init__(self, set_size, train=True, val=False, test=False, **kwargs):
self.set_size = s... | python |
from flask_restful import Resource, reqparse
from models import hotel
from models.hotel import HotelModel
hoteis = [
{
'hotel_id': 'alpha',
'nome': 'Alpha Hotel',
'estrelas': 4.3,
'diaria': 420.34,
'cidade': 'Rio de Janeiro'
},
{
'hotel_id': 'bravo',
... | python |
#!/usr/bin/env python3
# coding=utf-8
"""
Benchmark helper for triggers. Each benchmark is linked to a trigger class from lib.trigger
"""
from abc import abstractmethod, ABCMeta
from contextlib import suppress
import logging
import multiprocessing
import os
import subprocess
import timeit
import time
from lib.helper... | python |
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | python |
def convert(pth_path, wts_path, device_type='cuda'):
import struct
import torch
from viclassifier.utils import dev_opt
device = dev_opt.usingDevice(device_type)
model = torch.load(pth_path, map_location=device)
model.to(device)
# 测试时不启用 BatchNormalization 和 Dropout
model.eval()
# p... | python |
import sys,time,os,random,fonction,string
from pystyle import *
listbye = [""" ___ _ _
| _ )_ _ ___ ______ ___ _ _ ___ _ _ | |__ _| |_ ___ _ _
| _ \ || / -_)_ (_-< -_) -_) | || / _ \ || | | / _` | _/ -_) '_|
|___/\_, \___( ) /__|___\___|... | python |
from setuptools import setup
setup(
name='alpha_vantage_proxy',
version='0.0.4',
description='A plugin to interface with alphavantage api',
url='https://github.com/kburd/alpha-vantage-proxy',
author='Kaleb Burd',
author_email='kalebmburd@gmail.com',
license='MIT',
packages=['alpha_vant... | python |
import torch
import numpy as np
from torch import nn
from torch import optim
from torch.nn import functional as F
from cl_gym.algorithms import ContinualAlgorithm
from cl_gym.algorithms.utils import flatten_grads, assign_grads
from cl_gym.algorithms.utils import flatten_weights, assign_weights
class MCSGD(ContinualAl... | python |
import json
import requests
from kivy.core.audio import SoundLoader
from secret import WATSON_USERNAME
from secret import WATSON_PASSWORD
class watson_voice():
def __init__(self, voice_record):
self.name = voice_record['name']
self.language = voice_record['language']
self.gender = voice_... | python |
import math
import torch
import copy
import torch.nn as nn
import torch.nn.functional as F
from transformers import BertTokenizer, BertModel
def linear_block(input_dim, hidden_dim):
linear = nn.Sequential(
nn.Linear(input_dim, hidden_dim),
nn.LeakyReLU(0.5))
return linear
class MLP(... | python |
# Imitando o comportamento de números numa classe
class Coordenada():
def __init__(self, x, y):
self.x = x
self.y = y
def __repr__(self):
return "<Coordenada x:{0},y:{1}>".format(self.x, self.y)
# TODO: Implemente adição
def __add__(self, other):
pass
# TODO: Imp... | python |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2019-2021 Tomasz Łuczak, TeaM-TL
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, cop... | python |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import numpy as np
import os
import h5py
import subprocess
import shlex
import json
import glob
from .. ops import transform_functions, se3
from sklearn.neighbors import Neare... | python |
import os
from unittest import TestCase
from healthtools.scrapers.base_scraper import Scraper
from healthtools.scrapers.doctors import DoctorsScraper
from healthtools.scrapers.foreign_doctors import ForeignDoctorsScraper
from healthtools.scrapers.health_facilities import HealthFacilitiesScraper
from healthtools.scrap... | python |
"""
.. _model-rgcn:
Relational graph convolutional network
================================================
**Author:** Lingfan Yu, Mufei Li, Zheng Zhang
In this tutorial, you learn how to implement a relational graph convolutional
network (R-GCN). This type of network is one effort to generalize GCN
to h... | python |
"""
The type of race condition that this class is designed to prevent is somewhat
difficult to write unit tests for.
My apologies for the abysmal coverage.
T
"""
from google.appengine.ext import db
from catnado.testing.testcase import SimpleAppEngineTestCase
from catnado.unique_property_record import (
UniqueProp... | python |
from PIL import Image
def parse_photo(file_path):
"""Open image(s), remove Alpha Channel if image has it and store image(s)."""
images = []
for file_name in file_path:
try:
# Open file
img = Image.open(file_name)
# If image has Alpha Channel, remove it
... | python |
#
# Copyright (c) 2019 Juniper Networks, Inc. All rights reserved.
#
"""
Telemetry feature implementation.
This file contains implementation of abstract config generation for
telemetry feature
"""
from collections import OrderedDict
from abstract_device_api.abstract_device_xsd import (
CollectorParams, EnabledI... | python |
"""
This evaluation script modifies code for the official Quoref evaluator (``allennlp/tools/quoref_eval.py``) to deal
with evaluating on contrast sets.
"""
import json
from typing import Dict, Tuple, List, Any, Set
import argparse
from collections import defaultdict
import numpy as np
from allennlp.tools import drop_... | python |
try:
from django.conf.urls import *
except ImportError: # django < 1.4
from django.conf.urls.defaults import *
# place app url patterns here
| python |
import os
from flask import Flask, request, jsonify, make_response
from flask_cors import CORS
from joinnector import SDK
# through the custom helperclient
from src.client.nector_client import NectorClient
client_sdk = NectorClient(os.environ.get("API_KEY"), os.environ.get(
"API_SECRET"), os.environ.get("API_MODE"... | python |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
class Net(nn.Module):
def __init__(self, num_class=1024):
super(Net, self).__init__()
num_output_hidden = int(np.log2(num_class - 1)) + 1
self.fc1 = nn.Linear(nu... | python |
import numpy as np
from scipy.interpolate import UnivariateSpline
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import scipy.stats as st
import TransitionMatrix as TM
from TransitionMatrix import SetTransitionMatrix_NULL
def configuration(m,spaces):
if m == 1:
if sp... | python |
Import jogovelha
import sys
erroInicializar = False
jogo = jogovelha.inicializar()
if len(jogo) != 3:
erroInicializar = True
else:
for linha in jogo:
if len(linha) != 3:
erroInicializar = True
else:
for elemento in linha:
if elemento != '.':
erroInicializar =
if erroInicializar:
sys.exit(1)
else:
sys.exit(0)
| python |
#!/usr/bin/python
from re import findall
from collections import defaultdict
from itertools import combinations
def sortSides(triangles):
for i in range(len(triangles)):
triangles[i] = sorted(triangles[i])
def part1(numbers):
sortSides(numbers)
isTriangle = 0
for t in numbers:
if t[0]... | python |
from aoc20191215a import discover_map, move, draw
def aoc(data):
seen = discover_map(data)
step = 0
while 1 in seen.values():
prev = seen.copy()
for (x, y), value in prev.items():
if value == 2:
for xx, yy, _ in move(x, y):
if prev[(xx, yy)] ... | python |
from tkinter import *
from tkinter import messagebox
from dao.book_repository_json import BookRepositoryJson
from model.book import Book
from presentation.add_edit_book_dialog import AddEditBookDialog
from presentation.app_main_window import AppMainWindow
from presentation.show_items_view import ShowItemsView
from uti... | python |
from utils.qSLP import qSLP
from qiskit.utils import QuantumInstance
from qiskit import Aer, QuantumCircuit
from utils.data_visualization import *
from utils.Utils_pad import padding
from utils.import_data import get_dataset
from qiskit.circuit.library import ZZFeatureMap, ZFeatureMap
from qiskit.circuit.library import... | python |
# OP_RETURN.py
#
# Python script to generate and retrieve OP_RETURN bitcore transactions
#
# Copyright (c) Coin Sciences Ltd
#
# 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 restrict... | python |
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