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# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
import uvicorn
import argparse
import os
import collections
import multipart_stream
args = None
EMPTY_RESPONSE = {
'type': 'http.response.body',
'body': b''
}
def gen_header(status=200, content_type=None, custom_headers=[]):
obj = {
'type': 'http.response.start',
'status': status,
... |
import os
from dataclasses import asdict, dataclass, field, fields
from logging import getLogger
from typing import ClassVar, Dict, List, Union, cast, no_type_check
from . import LOGGER_NAME
logger = getLogger(LOGGER_NAME)
@dataclass
class AbstractConfig:
config_root: ClassVar[str] = "base"
def __post_init... |
# This is where the classes and objects are defined
import random
class Game:
def __init__(self, difficulty, length, cave_map):
self.cave_map = cave_map
self.difficulty = difficulty
self.length = length
class Condition:
def __init__(self, name, damage, ac_reduction, dura... |
import os
import numpy as np
import hf
from hf.builders.dataset_builder import DatasetBuilder
def do_preprocessing(dataset, indices):
label_seg_utils = dataset.kitti_utils.label_seg_utils
print("Generating label segs in {}".format(label_seg_utils.label_seg_dir))
# Generate all mini-batches, this can ... |
"""
Benchmark presigned zarr uploads using dummy data.
The time taken to complete the upload is included, so if the API server is calculating checksums that will factor into the performance.
At the time this was written a temporary API server was stood up that did not calculate checksums specifically to determine how ... |
import matplotlib.pyplot as plt
import numpy as np
# globals
MIN_REQUEST = 0
MAX_REQUEST = 199
IORequests = []
head_ptr = 0 # 53
# outputs
sequence = []
total_head_mov = 0
def calc_head_mov():
total = 0
for i in range(1, len(sequence)):
total += abs(sequence[i] - sequence[i - 1])
return total
... |
from datetime import date as pydate
from datetime import datetime
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, \
SubmitField, HiddenField, IntegerField, \
SelectField, FormField, widgets, FileField, \
TextAreaFi... |
import os
from base64 import b64decode, b64encode
from enum import Enum
from ..core.Simple import Simple
from ... import helper
class TmplType(Enum):
table = "0"
base64 = "1"
html = "3"
text = "4"
scheme = "6"
extension = "9"
# todo добавить остальные типы макетов и их сериализацию
clas... |
import tensorflow as tf
import numpy as np
# 一个字典，隐射一个数字到其二进制的表示
# 例如 int2binary[3] = [0,0,0,0,0,0,1,1]
int2binary = {}
# 最多8位二进制
binary_dim = 8
# 在8位情况下，最大数为2^8 = 256
largest_number = pow(2, binary_dim)
# 将[0,256)所有数表示成二进制
binary = np.unpackbits(
np.array([range(largest_number)], dtype=np.uint8).T, axis=1)
# ... |
# -*- coding: utf-8 -*-
"""
@author: datamonday
"""
import math
import numpy as np
from sklearn.preprocessing import MinMaxScaler, StandardScaler
#################### 说明 ##########################
# 为了可读性, 所有numpy和math库的函数均使用.x()调用, #
# 这种方式在实际测试中相比直接函数x()调用耗时 #
#################################################... |
from sklearn import datasets
import matplotlib.pyplot as plt
import numpy as np
from math import ceil
from math import sqrt
import pandas as pd
np.random.seed(0)
def load_data():
boston = datasets.load_boston()
X = boston.data
y = boston.target
features = boston.feature_names
retur... |
#!/usr/bin/env python
# Copyright 2017 Johns Hopkins University (author: <NAME>)
# Apache 2.0
""" This script prepares the training and test data for CIFAR-10 or CIFAR-100.
"""
from __future__ import division
import argparse
import os
import sys
parser = argparse.ArgumentParser(description="""Converts train/test d... |
"""
Code for serializing a modulestore XBlock to OLX suitable for import into
Blockstore.
"""
import logging
import os
from collections import namedtuple
from lxml import etree
from . import adapters
log = logging.getLogger(__name__)
# A static file required by an XBlock
StaticFile = namedtuple('StaticFile', ['name... |
import gc
import time
import diffrax
import equinox as eqx
import fire
import jax
import jax.experimental.ode as experimental
import jax.nn as jnn
import jax.numpy as jnp
import jax.random as jrandom
import torch
import torchdiffeq
class FuncTorch(torch.nn.Module):
def __init__(self):
super().__init__()
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 14 14:45:53 2022
@author: fatemehmohebbi
"""
from Bio import Phylo
import networkx as nx
import numpy as np
import pandas as pd
from scipy import sparse
import scipy.special as sc
import matplotlib.pyplot as plt
import pydot
from networkx.drawing.n... |
import os
import pdb
import random
from random import randrange
import gin
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import torch
from loader.episode import Episode
from meta_dataset.data import config
from meta_dataset.data import dataset_spec as dataset_spec_lib
from meta_dataset.dat... |
__author__ = 'H'
bl_info = {
'name': 'Caffe-Gui-Tool',
'author': '<NAME>',
'location': 'Node view - Properties panel',
'category': 'Node View'
}
# To support reload properly, try to access a package var,
# # if it's there, reload everything
if "bpy" in locals():
import imp
imp.reload(IOwritepro... |
# Import libraries
import cv2
import numpy as np
import os
from PIL import Image, ImageEnhance
import shutil
def Cria_dir(y):
# Funcao responsavel pela criacao
# de diretorios baseados em um diretorio base (base_dir)
# Define o diretório base
base_dir = os.path.dirname(__file__)
# Cria um novo diretório ca... |
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import os
import shutil
import random
import numpy as np
from glob import glob
import cv2
def preprocess(image):
# use ImageNet preprocessing (since ResNet is trained on it)
#scale to 256
#center ... |
import csv
import os
def menu(username="@harshmall", products_count=100):
# this is a multi-line string, also using preceding `f` for string interpolation
menu = f"""
-----------------------------------
INVENTORY MANAGEMENT APPLICATION
-----------------------------------
Welcome {username}!
There are {products... |
import logging
import subprocess
import tempfile
import typing
import const
import models
import schemas
import os
import re
import util
_LOGGER = logging.getLogger(__name__)
class WGAlreadyStartedError(Exception):
pass
class WGAlreadyStoppedError(Exception):
pass
class WGPermissionsError(Exception):
... |
from sstcam_simulation.data import get_data
from sstcam_simulation.utils.photon_incidence_angles import PhotonIncidenceAnglesSiPM
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from astropy import units as u
from scipy.interpolate import interp1d
from IPython import embed
def interpolate_... |
import pandas as pd
import itertools as it
import seaborn as sns
import numpy as np
from pymea import matlab_compatibility as mc
from matplotlib import pyplot as plt
from matplotlib import mlab as mlab
import random
from datetime import datetime, timedelta
from pymea import supplement_to_plotting as psupp
import math
f... |
# This script is part of HSDFinder, which shall be put in the same directory with HSDFinder.py
from collections import defaultdict
import re
import os
FILE_ROOT = ""
class Pfam:
def __init__(self, name, ftype, pf, domain1, value, ipr, domain2):
self.name = name
self.ftype = ftype
self.... |
import pygame as pg
import copy
import time
from typing import Tuple
from collections import namedtuple
class MyRect:
def __init__(self, size: Tuple[int, int],
pic = None,
func = None, border_colour = (0,0,0),
line_colour = (255,255,255),
colour ... |
import sys
import time
import random
import uuid
from datetime import datetime
from memsql_loader.util import apsw_helpers, apsw_sql_utility, super_json as json
from memsql_loader.util.apsw_sql_step_queue.task_handler import TaskHandler
from memsql_loader.util.apsw_sql_step_queue.time_helpers import unix_timestamp
de... |
import numpy as np
from collections import defaultdict
import matplotlib.pyplot as plt
def fitness(individual_gen: np.ndarray, target_gen: np.ndarray):
"""
Calculates the fitness of an individual.
:param individual_gen: Individual gen.
:param target_gen: T... |
import asyncio
import inspect
import json
from dataclasses import dataclass
from typing import Any, AsyncIterator, Awaitable, Dict, Sequence
from gql.subscription import PROTOCOL, MessageType, OperationMessage
from graphql import ExecutionResult, GraphQLError, GraphQLSchema, format_error, parse, subscribe
from starlet... |
# Main file
import cProfile
import io
import os
import pstats
import sys
sys.path.insert(0, 'src/dt')
sys.path.insert(0, 'src/parsing')
sys.path.insert(0, 'src/split')
from parser import parse_timeprof as parse
from dt_sklearn import DT_sklearn
from dt_linear import DT_linear
from entropy import Split_entropy
from au... |
import pandas as pd
import bokeh.plotting as bp
from bokeh.models import HoverTool, ColumnDataSource, Legend
"""
Adapted from
https://stackoverflow.com/a/40231779
"""
tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),
(44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, ... |
from __future__ import unicode_literals
from django.contrib.auth.forms import AuthenticationForm
from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Submit, HTML, Field
# from crispy_forms.bootstrap import AppendedText, PrependedText, FormActions
from authtools im... |
"""
Programming Project 12
<NAME>
15863
"""
import cmath
from cmath import sin, cos, exp
from math import sqrt, pi, asin
from random import random
import numpy as np
N = 3
psi = np.ndarray((2 ** N, 1), complex) # N-qubit register
comp_state = 0
for i in range(2 ** N):
if i == comp_state:
psi[i] = 1
... |
# Copyright 2018 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... |
import cv2
import numpy as np
from procgen import ProcgenEnv
from .utils import ImgProcessor
from .base import BaseEnv
class _Procgen(BaseEnv):
"""Procgen environment.
Args:
name (str): name of environment in Procgen games.
render (bool): parameter that determine whether to render.
g... |
from queue import Queue
from Poem.poem import models as poem_models
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.authentication import SessionAuthentication
class Tree(object):
class Node:
def __init__(self, nodename):
self._nodena... |
# modify from sklearn (0.22.1)
import numpy as np
from .utils.multiclass import type_of_target
from .utils.validation import check_consistent_length, column_or_1d, assert_all_finite
from .utils.extmath import stable_cumsum
def precision_recall_curve(y_true, probas_pred, pos_label=None,
sam... |
"""The machinery behind the constraints honoring reporting and enforcement."""
import enum
from operator import attrgetter
from typing import Callable, Dict, List, Type
from pytest import ExitCode, PytestWarning
from .constraints import ConstraintsGroup
MAGIC_MARK = "honors"
OPT_MARKDOWN_REPORT = "honors_report_mar... |
import cv2
from cv2.ximgproc import thinning
import numpy as np
from myPackage import tools as tl
from os.path import join, basename, splitext, altsep, exists
from numba import jit
@jit
def cleanImage(bin_img, name, plot= False, path= None):
print("Cleaning image...")
n = 3
n_2 = 3
iter = 2 #3
iter... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... |
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
__all__ = [
"cartesian",
"barycentric",
"contour",
"contourf",
"scatter",
]
def cartesian(points):
"""Converts array of barycentric coordinates on a 2-simplex to an array of
Cartesian coordinates on a 2D triangle in the ... |
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('ggplot')
#### make a funcion that lets you specify a few parameters and calculates the payoff
# S = underlying price
# K = strike price
# Price = premium paid for option
def long_call(S, K, Price):
# Long Call Payoff = max(un... |
from __future__ import absolute_import
from __future__ import unicode_literals
import math
import six
from django.db import models
from corehq.apps.products.models import SQLProduct
from corehq.form_processor.models import TruncatingCharField
@six.python_2_unicode_compatible
class StockReport(models.Model):
form_... |
'''
Converted from Plexon.h by ctypesgen on 2012-06-04
'''
from ctypes import *
# /home/james/code/bmi3d/riglib/plexon/docs/Plexon.h: 410
class struct_PL_FileHeader(Structure):
pass
struct_PL_FileHeader.__slots__ = [
'MagicNumber',
'Version',
'Comment',
'ADFrequency',
'NumDSPChanne... |
# Copyright 2017 Division of Medical Image Computing, German Cancer Research Center (DKFZ)
#
# 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
#... |
import datetime
import platform
import signal
import sys
import time
from argparse import ArgumentParser
import pprint
from typing import NamedTuple
from urllib.parse import urlparse
import threading
from queue import Queue
try:
from elasticsearch import Elasticsearch
except:
print(
"ERROR: elasticsear... |
from flask import g, make_response, request, url_for
from . import ussd
from .airtime import Airtime
from .practitioner import SelectPractice
from .deposit import Deposit
from .home import LowerLevelMenu
from .register import RegistrationMenu
from .utils import respond
from .withdraw import WithDrawal
from ..models im... |
#
# Copyright (c) 2015-2019 <NAME> <tflorac AT ulthar.net>
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE... |
import json
import os
#pip install git+https://github.com/ericsomdahl/python-bittrex.git
from bittrex.bittrex import Bittrex, API_V2_0, API_V1_1, BUY_ORDERBOOK, TICKINTERVAL_ONEMIN
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
import Config
my_bittrex ... |
import numpy as np
import numba
import umato.distances as dist
from umato.utils import (
tau_rand_int,
adjacency_matrix,
clip,
rdist,
)
def get_CE(P, Y, d_squared, a, b):
Q = pow(1 + a * d_squared ** b, -1)
loss = -P * np.log(Q + 0.001) - (1 - P) * np.log(1 - Q + 0.001)
return loss.sum() /... |
#!/usr/bin/env python
# Copyright 2019 Xilinx 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 ... |
import argparse
import collections
import logging
import sys
import threading
import epics
import pandas
logger = logging.getLogger(__name__)
class Bridge:
"""
A simple class that maps model variables from a CSV file with their equivalent
real Process Variables (PVs) from the real machine.
Paramete... |
import os
import re
import sys
import glob
from utils import Translator
with open('key.txt') as file:
lines = file.readlines()
for line in lines:
if not '#' in line:
key = line.strip();
translator = Translator(key=key)
def vid_down(url):
os.system("youtube-dl -f 'bestvideo[ext=mp4]+bestaudio[ext=m... |
# Adopted from https://github.com/mit-han-lab/once-for-all:
# Once for All: Train One Network and Specialize it for Efficient Deployment
# <NAME>, <NAME>, <NAME>, <NAME>, <NAME>
# International Conference on Learning Representations (ICLR), 2020.
# ------------------------------------------------------------------
# Ma... |
"""
Copyright 2019 <NAME>.
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,
software distribut... |
#!/usr/bin/env python3
import sys
import os
import re
import argparse
import json
from delphin.interfaces import ace
from delphin.mrs import xmrs, simplemrs, penman
from delphin.mrs.components import var_sort
from delphin import itsdb
Triple = penman.penman.Triple
codec = penman.XMRSCodec(indent=2)
def run(args):
... |
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.nn import init
from network import utils as utils
class MultiAttn(nn.Module):
def __init__(self, in_dim, head_num=10):
super(MultiAttn, self).__init__()
self.head_dim = in_dim // head_num
self.... |
#!/usr/bin/python3
from threading import Semaphore, Thread
from time import sleep
from random import random,choice
pisos = [i for i in range(0,5)]
# Nombres y apellidos: De la lista del semestre 2019-1
nombres = ["Alberto", "Alejandro", "Andrew", "Ángel", "Anibal", "Ascary",
"Blaise", "Brenda", "Cristian", ... |
#! /usr/bin/env python
# <NAME>
# February 14, 2018
# Vanderbilt University
"""
Compilation of useful functions and definitons for ECO,
RESOLVE A and B galaxy redshift surveys
"""
__author__ =['<NAME>']
__copyright__ =["Copyright 2017 <NAME>, eco_utils"]
__email__ =['<EMAIL>']
__maintainer__ =['<NAME>']
__... |
import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import Layer, Dense, Embedding, TimeDistributed, Dropout
# from tensorflow_core.python.keras.layers import Layer, Dense, Embedding, TimeDistributed, Dropout
from tensorflow.python.keras.layers.dense_attention import BaseDenseAttention
def ... |
import torch
import torch.nn as nn
from torchvision.models import mobilenet
import torch.utils.model_zoo as model_zoo
from .rutils import register
class SepConvBNReLU(nn.Sequential):
def __init__(self, in_planes, out_planes, kernel_size=3, stride=1, expand_ratio=1):
padding = (kernel_size - 1) // 2
... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange, reduce, repeat
from typing import Sequence, Tuple, Callable
from torch.nn import Module, ModuleList, Linear, LayerNorm, GroupNorm, Conv2d
class ConditionalNHWC(Module):
"""
Conditional NHWC layer.
"""
de... |
from . import (
compare_values,
get_dict_value,
ParserLiterals,
CollectionFunctions,
)
class VariableProcessor(object):
"""
The VariableProcessor is responsible for evaluating the declared variables in a Rule.
It parses the **variables** key of the rule and evaluates each variable.
It ... |
import time
import cv2
import numpy as np
from simple_playgrounds.engine import Engine
from spg_overlay.fps_display import FpsDisplay
from spg_overlay.misc_data import MiscData
from spg_overlay.score_manager import ScoreManager
from spg_overlay.save_data import SaveData
from spg_overlay.sensor_disablers import Enviro... |
"""
Convert ARM32 instruction into human readable form suitable to
be processed by an assembler.
"""
import struct
from typing import List, Tuple, Set
from CpuA32 import opcode_tab as a32
from Elf import enum_tab
def _EmitReloc(ins: a32.Ins, pos: int) -> str:
if ins.reloc_kind == enum_tab.RELOC_TYPE_ARM.JUMP24:
... |
"""
Author: <NAME>
Date: 30th August 2020
License: MIT License
===================================================================
Implementation of function mysql_2_csv() in Python:
it exports csv file from mysql pydb
param host: host name
param user: user name
param password: password
param file_path: file path to s... |
# -*- coding: utf-8 -*-
#
# -----------------------------------------------------------------------------------
# Copyright (c) Microsoft Open Technologies (Shanghai) Co. Ltd. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this softw... |
import io
from json import load
import boto3
import requests
import pandas as pd
from kauffman import constants as c
from zipfile import ZipFile
import kauffman.constants as c
def file_to_s3(file, s3_bucket, s3_file):
"""
Upload a local file to S3.
file: str
location of the local file
s3_buck... |
import torch
import torch.nn as nn
import torch.optim as optim
import os
import numpy as np
from tqdm import tqdm
import re
class MLP(nn.Module):
def __init__(self, vae_file_name, hidden_1, hidden_2):
super(MLP, self).__init__()
# vae_file_name form: VAE_??.pkl
latent_num = in... |
import colconfig
width_selectors = dict()
file = open("columns.css", "w")
minify = colconfig.minify
def block_start(prelude, indent = ""):
if minify:
prelude = prelude.replace(" > ", ">").replace(" + ", "+").replace(": ", ":").replace(", ", ",")
elif indent != "":
file.write(indent)
file.w... |
# Xception model -> 300 classes
from keras import layers
from keras import models
from keras import backend as K
from keras.optimizers import Adam
from keras.callbacks import ReduceLROnPlateau, EarlyStopping, ModelCheckpoint, CSVLogger
from sklearn.model_selection import train_test_split
from keras.preprocessing.image ... |
import os
import tqdm
import argparse
from typing import List
from .utils import random_filename
from tokenizers import Tokenizer, models, decoders
from tokenizers.trainers import WordPieceTrainer
from tokenizers.normalizers import BertNormalizer
from tokenizers.pre_tokenizers import BertPreTokenizer
def _split_subse... |
from .auxiliary_window import AuxiliaryWindow
from ..managers.config_manager import (NonUniquePriority, NonValidPriority,
MissingPriority)
from tkinter import messagebox
import logging
import tkinter as tk
logdict = {"DEBUG": logging.DEBUG,
"INFO": logging.INFO,
... |
# -*- coding: utf-8 -*-
import os, json
from utils import ajax_required
from django.http import HttpResponseRedirect, HttpResponse
from django.conf import settings
from django.shortcuts import render, get_object_or_404
from django.core.paginator import Paginator
from django.core.files.storage import FileSystemStorage
... |
from ipywidgets import Widget, widget_serialization
from traitlets import Bool, Enum, Instance, Int, Unicode
from ._frontend import module_name, module_version
class ToneWidgetBase(Widget):
_model_module = Unicode(module_name).tag(sync=True)
_model_module_version = Unicode(module_version).tag(sync=True)
cl... |
# Copyright 2022 The jax3d Authors.
#
# 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 wr... |
from __future__ import absolute_import
import math
from torch import nn
from .DCNv2.dcn_v2 import DCN
BN_MOMENTUM = 0.1
def get_simple_net(num_layers, heads, head_conv=256):
model = DCN_Detector(heads)
# model.init_weights(num_layers)
return model
def fill_up_weights(layer):
"""Custom function fo... |
from __future__ import print_function
import argparse
import git
import logging
import logging.config
import os
import shutil
import sys
import tarfile
import six
from past.builtins import basestring
from six.moves.urllib.parse import urlparse, urlencode
from six.moves.urllib.request import urlopen
from six.moves.url... |
# This is a simple inventory program for a small car dealership.
print('Automotive Inventory')
class Automobile:
def __init__(self):
self._make = ''
self._model = ''
self._year = 0
self._color = '... |
from __future__ import unicode_literals
import re
from .common import InfoExtractor
from ..compat import (
compat_str,
compat_HTTPError,
)
from ..utils import (
ExtractorError,
find_xpath_attr,
)
class NBCIE(InfoExtractor):
_VALID_URL = r'http://www\.nbc\.com/(?:[^/]+/)+(?P<id>n?\d+)'
_TEST... |
#!/usr/bin/env python3
# type: ignore
import sys
from PySide2.QtGui import QPainter, QIntValidator, QDoubleValidator
from PySide2.QtWidgets import (
QApplication,
QMainWindow,
QWidget,
QAction,
QHBoxLayout,
QVBoxLayout,
QGridLayout,
QSizePolicy,
QLabel,
QLineEdit,
)
from PySide2... |
import os
from argparse import Namespace
from tqdm import tqdm
import time
import numpy as np
import torch
from PIL import Image
from torch.utils.data import DataLoader
import sys
sys.path.append(".")
sys.path.append("..")
from configs import data_configs
from datasets.inference_dataset import InferenceDataset
from e... |
'''
Utility functions for parsing expressions and statements.
'''
import re
from collections import Counter
import sympy
from sympy.printing.precedence import precedence
from sympy.printing.str import StrPrinter
from brian2.core.functions import (DEFAULT_FUNCTIONS, DEFAULT_CONSTANTS,
... |
import uuid
from logging import getLogger
from decimal import Decimal
import stripe
from enumfields import EnumField
from rehive import Rehive, APIException
from django.db.models import Q
from django.db import models, transaction
from django_rehive_extras.models import DateModel
from django_rehive_extras.fields import... |
"""
Please note that this app does *not* demonstrate Flask best practice!
It is much better to place views, controllers, configuration
files, and the like in their own directories.
"""
import json
import os
import sqlite3
from flask import Flask, render_template, request, send_from_directory
from flask_api import Fl... |
# Python modules
import os
import sys
import subprocess
# 3rd party modules
try:
import packaging.requirements as packaging_requirements
except ImportError:
print("Please install 'packaging'. You can use this command:")
print("pip install packaging")
sys.exit()
# Note that this code can't assume too... |
"""
Parses the animethemes api, getting data by title.
- load data from cache
- animethemes,unavalible = load_cache()
- animethemes: list[AnimeThemeAnime]
- unavalible: dict[site_name:set[site_id]]
- animelist = get_old()
- sorted by _fetched_at
- organize animethemes into dict by id
- start fetching d... |
#!/usr/bin/env python3
"""
Copyright (c) 2018 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
Unless required by applicable la... |
"""
highlight
=========
**Module** : ``footer.menus.highlightmenu.py``
Contains menus related to highlighting, like menus for style and lexer.
"""
from kivy.uix.bubble import Bubble
from kivy.properties import ObjectProperty
from kivy.uix.button import Button
from kivy.extras.highlight import KivyLexer
from kivy.uix.... |
'''
BSD Licence
Copyright (c) 2017, Science & Technology Facilities Council (STFC)
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 no... |
"""
Loss.py
"""
import logging
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from config import cfg
def get_loss(args):
"""
Get the criterion based on the loss function
args: commandline arguments
return: criterion, criterion_val
"""
if args.img_wt_los... |
# "Colorful Life" from <NAME>
# https://github.com/adam-zheleznyak/colorful-life
#
# Modified by fire-eggs to remove the uses of numpy and matplotlib,
# as these are the "display" functions superceded by using the RGB
# matrix.
#
import math
from random import random
from random import uniform
class Hue:
"""This is a... |
import unittest
import numpy as np
import torch
from Utility.Torch import Glimpses
class testView(unittest.TestCase):
def testBasic(self):
""" Tests whether view works """
test_tensor = torch.randn([20, 30, 10])
Glimpses.reshape(test_tensor, 10, [5, 2])
Glimpses.reshape(test_tenso... |
# standard scalar transform of continuous variable
from collections import namedtuple
import numpy as np
import pandas as pd
from snsynth.preprocessors.data_transformer import BaseTransformer
SpanInfo = namedtuple("SpanInfo", ["dim", "activation_fn"])
ColumnTransformInfo = namedtuple(
"ColumnTransformInfo",
... |
"""
Helper functions for probability distributions.
"""
import os
from .cupy_utils import betaln, erf, xp
def beta_dist(xx, alpha, beta, scale=1):
r"""
Beta distribution probability
.. math::
p(x) = \frac{x^{\alpha - 1} (x_\max - x)^{\beta - 1}}{B(\alpha, \beta) x_\max^{\alpha + \beta + 1}}
... |
'''
*
* Copyright (C) 2020 Universitat Politècnica de Catalunya.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at:
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless requi... |
import collections as col
from sndict.nesteddict import NestedDict
from sndict.utils import list_equal
dict_a = col.OrderedDict([
("key1", "val1"),
("key2", col.OrderedDict([
("key2_1", "val2_1"),
("key2_2", "val2_2"),
])),
("key3", col.OrderedDict([
("key3_1", col.OrderedDict... |
#!/usr/bin/env python3
import argparse
import asyncio
from datetime import datetime, timedelta
from tempfile import gettempdir
from typing import AsyncIterable
from datetime import datetime
import os
from datetime import datetime
from utils import evalAgent, getFederatedModel
# import yapapi modules
from ... |
import os
import pytz
import time
from datetime import datetime
from distutils.version import LooseVersion
import github3.exceptions
from cumulusci.core.exceptions import GithubApiError
from cumulusci.core.exceptions import GithubApiNotFoundError
class BaseChangeNotesProvider(object):
def __init__(self, release... |
import argparse
import numpy as np
import cv2 as cv
def str2bool(v):
if v.lower() in ['on', 'yes', 'true', 'y', 't']:
return True
elif v.lower() in ['off', 'no', 'false', 'n', 'f']:
return False
else:
raise NotImplementedError
parser = argparse.ArgumentParser()
parser.add_argument... |
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