pkubik

"""
Based on the model from:
https://github.com/kuangliu/pytorch-cifar
"""

import tensorflow as tf
import tensorflow.keras as keras
import tensorflow.keras.layers as kl

pkubik

  Downloading tensorflow-2.2.1-cp38-cp38-manylinux2010_x86_64.whl (516.3 MB)
  Downloading tensorflow-2.2.0-cp38-cp38-manylinux2010_x86_64.whl (516.3 MB)
INFO: pip is looking at multiple versions of decorator to determine which version is compatible with other requirements. This could take a while.
Collecting decorator
  Downloading decorator-5.0.5-py3-none-any.whl (8.8 kB)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.2 kB)
  Downloading decorator-4.4.1-py2.py3-none-any.whl (9.2 kB)
  Downloading decorator-4.4.0-py2.py3-none-any.whl (8.3 kB)
  Downloading decorator-4.3.2-py2.py3-none-any.whl (9.1 kB)
  Downloading decorator-4.3.1-py2.py3-none-any.whl (8.8 kB)

pkubik

#! sh

set -e

target="$1"

if [ -z  "$target" ]
then
    echo "Please provide the target directory."
    exit -1

pkubik

import torch

PATH = 'model.pth'

ckpt = torch.load(PATH)
# `ckpt` will likely be a nested dictionary with nested `state_dict`
ckpt['state_dict'] = {
  key.replace('old_name', 'new_name'): value
  for key, value in ckpt['state_dict'].items()
}

pkubik

import time
from collections import deque


class Timer:
    def __init__(self, buffer_size=10_000):
        self.times = deque(maxlen=buffer_size)
        self.__start = None

    def __enter__(self):

pkubik

#! python3

import datetime

from PySide2.QtCore import Qt, QPoint, QSize, QRect, QTimer
from PySide2.QtGui import QScreen
from PySide2.QtWidgets import QApplication, QLabel, QHBoxLayout, QFrame

from bspwm import State

pkubik

<scheme name="Better Darcula" version="142" parent_scheme="Darcula">
  <metaInfo>
    <property name="created">2018-11-14T23:00:57</property>
    <property name="ide">Python</property>
    <property name="ideVersion">2018.2.4.0.0</property>
    <property name="modified">2018-11-14T23:01:13</property>
    <property name="originalScheme">Better Darcula</property>
  </metaInfo>
  <colors>
    <option name="DOCUMENTATION_COLOR" value="3c3f41" />

pkubik

pkubik

import re
from collections import defaultdict

UNKNOWN_WORD_CODE = 1
SEQUENCE_LENGTH_LIMIT = 500  # just to protect from crashing the training process by too large example

def encode_text(text: str, encoding: dict, default=UNKNOWN_WORD_CODE):
    clean_text = re.sub(r'([^\w-]+)', ' \g<0> ', text).strip()
    tokens = clean_text.split()
    tokens = ['#' if t.isnumeric() else t for t in tokens]

pkubik

from enum import Enum
from queue import PriorityQueue


class PathMeta:
    def __init__(self, pre: int, post: int):
        """
        Metadata of the path passing through given edge

        `pre` + `post` + 1 == length of the whole path