Miloslav Pojman mila

## decorator_overload.py
import datetime as dt
from dataclasses import dataclass
from typing import Callable, Generic, Optional, TypeVar, overload

INPUT_T = TypeVar("INPUT_T")
OUTPUT_T = TypeVar("OUTPUT_T")


class pass_thru_none(Generic[INPUT_T, OUTPUT_T]):
    def __init__(self, func: Callable[[INPUT_T], OUTPUT_T]) -> None:

## cached_property.py
class cached_property:
    """Decorator that converts a method into a lazy property."""

    # Inspired by Django and Werkzeug implementations.

    def __init__(self, func):
        self.func = func
        self.name = func.__name__
        self.__doc__ = getattr(func, '__doc__')

## pandas_multiindex_gotchas.py
"""

Fun with Pandas Hierarchical indexing (MultiIndex)
==================================================

The examples belows shows various gotchas and corner cases when working with Pandas MultiIndex.

All examples use following sample data:

>>> import pandas as pd

## naive_html2csv.py
#!/usr/bin/env python3

import argparse
import csv
import re


table_open_re = re.compile('<table[^>]*>', re.IGNORECASE)
table_close_re = re.compile('</table[^>]*>', re.IGNORECASE)
tr_open_re = re.compile('<tr[^>]*>', re.IGNORECASE)

## html2csv.py
#!/usr/bin/env python3

import argparse
import csv

import bs4


def read_stream(stream, features=None):
    soup = bs4.BeautifulSoup(stream, features=features)

## index.html
<!doctype html>
<html>
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">

    <title>Example Page</title>
    <link rel="stylesheet" href="style.css">
</head>
<body>

## .gitignore
*
!.gitignore

## print_partitions.py
import datetime

start = datetime.date(2016, 11, 1)
stop = datetime.date(2016, 12, 1)
delta = datetime.timedelta(days=1)

tpl = "year=%(year)04d/month=%(month)02d/week=%(week)02d/day=%(day)02d"

date = start
while date < stop:

## deploy-deb.sh
#!/bin/bash
#
# Install generated Debian package to remote system
#
# Uploads packages directly to the target servers ignoring
# any repositories and installs them using `dpkg -i`.
#
# Restarts System V / Systemd services after successful installation.
#
	import datetime as dt
	from dataclasses import dataclass
	from typing import Callable, Generic, Optional, TypeVar, overload

	INPUT_T = TypeVar("INPUT_T")
	OUTPUT_T = TypeVar("OUTPUT_T")


	class pass_thru_none(Generic[INPUT_T, OUTPUT_T]):
	def __init__(self, func: Callable[[INPUT_T], OUTPUT_T]) -> None:
	class cached_property:
	"""Decorator that converts a method into a lazy property."""

	# Inspired by Django and Werkzeug implementations.

	def __init__(self, func):
	self.func = func
	self.name = func.__name__
	self.__doc__ = getattr(func, '__doc__')
	"""

	Fun with Pandas Hierarchical indexing (MultiIndex)
	==================================================

	The examples belows shows various gotchas and corner cases when working with Pandas MultiIndex.

	All examples use following sample data:

	>>> import pandas as pd
	#!/usr/bin/env python3

	import argparse
	import csv
	import re


	table_open_re = re.compile('<table[^>]*>', re.IGNORECASE)
	table_close_re = re.compile('</table[^>]*>', re.IGNORECASE)
	tr_open_re = re.compile('<tr[^>]*>', re.IGNORECASE)
	<!doctype html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">

	<title>Example Page</title>
	<link rel="stylesheet" href="style.css">
	</head>
	<body>
	import datetime

	start = datetime.date(2016, 11, 1)
	stop = datetime.date(2016, 12, 1)
	delta = datetime.timedelta(days=1)

	tpl = "year=%(year)04d/month=%(month)02d/week=%(week)02d/day=%(day)02d"

	date = start
	while date < stop:
	#!/bin/bash
	#
	# Install generated Debian package to remote system
	#
	# Uploads packages directly to the target servers ignoring
	# any repositories and installs them using `dpkg -i`.
	#
	# Restarts System V / Systemd services after successful installation.
	#