Ryan McAndrews ramcandrews

## base reset css
*, *::before, *::after {
  box-sizing: border-box;
}

* {
  margin: 0;
  padding: 0;
  font: inherit;
}

## select empty elements
div:empty {
  outline: 2px solid deeppink;
  height: 1em;
}

:empty:not(img, picture, button, input) {
  display: none;
}

/* https://youtube.com/shorts/zoJkZ7GC1s4?feature=share */

## easy responsive width
.container {
  width: min(100% - 2rem, 600px);
  margin-inline: auto;
}

/* https://youtube.com/shorts/SGlpOnIgk1w */

## regexJP.py
import re

with open(rootdir + "something in japanese.html", encoding='utf-8', errors='ignore') as reader:
    for line in reader:
        words = re.findall(r"[一-龯ぁ-んァ-ン！：／・（）ー]*", line)
        for word in words:
            if word:
                print(word)

## gist:07b86e366bc40f4328fe97b279e853fd
 [^@ \t\r\n]+@[^@ \t\r\n]+\.[^@ \t\r\n]+

 [^@ \\t\\r\\n] matches for anything other than @, space, tab, new lines repetitions of a non-whitespace character.

 https://ihateregex.io/expr/email/ (04/17/2022)


## email regex
(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])*")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21-\x5a\x53-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])+)\])

## regex-japanese.txt
Regex for matching ALL Japanese common & uncommon Kanji (4e00 – 9fcf) ~ The Big Kahuna!
([一-龯])

Regex for matching Hirgana or Katakana
([ぁ-んァ-ン])

Regex for matching Non-Hirgana or Non-Katakana
([^ぁ-んァ-ン])

Regex for matching Hirgana or Katakana or basic punctuation (、。’)

## convert GDB file to SQlite
first create a spatial lite db file. the sqlite file will be more than twice as large as the GDB directory.
ogr2ogr -f SQlite db.sqlite -f OpenFileGDB -overwrite tlgdb_2019_a_us_areawater.gdb

## download series of files.bash
# this is mor than 100 years of global weather data 110GB
wget https://www.ncei.noaa.gov/data/global-hourly/archive/csv/{1901..2020}.tar.gz

## pytorch chunk for RNN.py
from torch.utils.data import TensorDataset, DataLoader

import torch

# Check for a GPU
train_on_gpu = torch.cuda.is_available()
if not train_on_gpu:
    print('No GPU found. Please use a GPU to train your neural network.')

def batch_data(words, sequence_length, batch_size):
	, ::before, *::after {
	box-sizing: border-box;
	}

	* {
	margin: 0;
	padding: 0;
	font: inherit;
	}
	div:empty {
	outline: 2px solid deeppink;
	height: 1em;
	}

	:empty:not(img, picture, button, input) {
	display: none;
	}

	/* https://youtube.com/shorts/zoJkZ7GC1s4?feature=share */
	.container {
	width: min(100% - 2rem, 600px);
	margin-inline: auto;
	}

	/* https://youtube.com/shorts/SGlpOnIgk1w */
	import re

	with open(rootdir + "something in japanese.html", encoding='utf-8', errors='ignore') as reader:
	for line in reader:
	words = re.findall(r"[一-龯ぁ-んァ-ン！：／・（）ー]*", line)
	for word in words:
	if word:
	print(word)
	[^@ \t\r\n]+@[^@ \t\r\n]+\.[^@ \t\r\n]+

	[^@ \\t\\r\\n] matches for anything other than @, space, tab, new lines repetitions of a non-whitespace character.

	https://ihateregex.io/expr/email/ (04/17/2022)
	Regex for matching ALL Japanese common & uncommon Kanji (4e00 – 9fcf) ~ The Big Kahuna!
	([一-龯])

	Regex for matching Hirgana or Katakana
	([ぁ-んァ-ン])

	Regex for matching Non-Hirgana or Non-Katakana
	([^ぁ-んァ-ン])

	Regex for matching Hirgana or Katakana or basic punctuation (、。’)
	first create a spatial lite db file. the sqlite file will be more than twice as large as the GDB directory.
	ogr2ogr -f SQlite db.sqlite -f OpenFileGDB -overwrite tlgdb_2019_a_us_areawater.gdb
	# this is mor than 100 years of global weather data 110GB
	wget https://www.ncei.noaa.gov/data/global-hourly/archive/csv/{1901..2020}.tar.gz
	from torch.utils.data import TensorDataset, DataLoader

	import torch

	# Check for a GPU
	train_on_gpu = torch.cuda.is_available()
	if not train_on_gpu:
	print('No GPU found. Please use a GPU to train your neural network.')

	def batch_data(words, sequence_length, batch_size):