Anthony Carapetis acarapetis

## screen_rotate.rb
#!/usr/bin/ruby

WACOM_DEVICE_IDS = [12, 13]

ROTATIONS = %w{ NONE CCW HALF CW };
RANDR_VALUES = {
    'NONE' => 'normal',
    'CCW'  => 'left',
    'HALF' => 'inverted',
    'CW'   => 'right',

## wacom_rotate
#!/bin/bash
#
# "Wacom Rotation" can be 0, 1, 2 or 3 where 1 is +90, 2 is -90 and 3 is 180 in degrees

# "Wacom ISDv4 E3" id=11
# "Wacom ISDv4 E3" eraser id=12
# "Wacom ISDv4 E3" id=13
#
# using device numbers of the stylus (10) or screen (12) is fragile as they can
# change however "Wacom ISDv4 E3" is not unique afaict

## shakemap_conda.txt
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
affine=2.2.2=py_0
alabaster=0.7.12=py_0
amptools=1.1.7=py_0
asn1crypto=0.24.0=py35_3
atomicwrites=1.2.1=py_0
attrs=18.2.0=py_0
autopep8=1.4.3=py_0

## grammar.citrus
grammar NotJSON
    rule document
        (space value space) {
            capture(:value).value
        }
    end

    rule value
        number | str | hash
    end

## covid19.ipynb

      
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                acarapetis
                / covid19.ipynb
            
            
              Last active
              January 14, 2022 02:39
            
              
                quick covid19 log plot
              
          
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## RIstats.py
#!/usr/bin/env python3
import boto3
from collections import defaultdict

ris = boto3.client("ec2").describe_reserved_instances()["ReservedInstances"]
ri_counts = defaultdict(lambda: 0)
for ri in ris:
    if ri["State"] == "active":
        ri_counts[ri["InstanceType"]] += ri["InstanceCount"]

## dag_runner.py
from concurrent.futures import ProcessPoolExecutor, wait, FIRST_COMPLETED
from typing import Iterable, Set
from time import sleep

class Task:
    _tasks = {} # job registry: see run_job below

    def __init__(self, fun, name=None, deps=None, **kwargs):
        self.do_work = fun
        self.deps = set(deps or [])

## csv_to_parquet.py
"""CLI tool to stream CSV (from stdin) to parquet"""
import sys
from pathlib import Path
from typing import TextIO

import pandas as pd

CHUNKSIZE=2**16 # ~65k rows per parquet chunk

def convert(instream: TextIO, outdir: Path, chunksize=CHUNKSIZE):

## rename_replays.py
#!/usr/bin/env python3
# This script works, but a nicer version is now available at https://github.com/acarapetis/shroudstone

from pathlib import Path
from typing import NamedTuple
from urllib.request import urlopen
from datetime import datetime, timezone, timedelta
from time import sleep
import json
import pandas as pd

## .xsession
#!/bin/bash
# ~/.xsession
systemctl --user import-environment DISPLAY XAUTHORITY
systemctl --user restart xdg-desktop-portal-gtk
i3
	#!/usr/bin/ruby

	WACOM_DEVICE_IDS = [12, 13]

	ROTATIONS = %w{ NONE CCW HALF CW };
	RANDR_VALUES = {
	'NONE' => 'normal',
	'CCW' => 'left',
	'HALF' => 'inverted',
	'CW' => 'right',
	#!/bin/bash
	#
	# "Wacom Rotation" can be 0, 1, 2 or 3 where 1 is +90, 2 is -90 and 3 is 180 in degrees

	# "Wacom ISDv4 E3" id=11
	# "Wacom ISDv4 E3" eraser id=12
	# "Wacom ISDv4 E3" id=13
	#
	# using device numbers of the stylus (10) or screen (12) is fragile as they can
	# change however "Wacom ISDv4 E3" is not unique afaict
	# This file may be used to create an environment using:
	# $ conda create --name <env> --file <this file>
	# platform: linux-64
	affine=2.2.2=py_0
	alabaster=0.7.12=py_0
	amptools=1.1.7=py_0
	asn1crypto=0.24.0=py35_3
	atomicwrites=1.2.1=py_0
	attrs=18.2.0=py_0
	autopep8=1.4.3=py_0
	grammar NotJSON
	rule document
	(space value space) {
	capture(:value).value
	}
	end

	rule value
	number \| str \| hash
	end
	#!/usr/bin/env python3
	import boto3
	from collections import defaultdict

	ris = boto3.client("ec2").describe_reserved_instances()["ReservedInstances"]
	ri_counts = defaultdict(lambda: 0)
	for ri in ris:
	if ri["State"] == "active":
	ri_counts[ri["InstanceType"]] += ri["InstanceCount"]
	from concurrent.futures import ProcessPoolExecutor, wait, FIRST_COMPLETED
	from typing import Iterable, Set
	from time import sleep

	class Task:
	_tasks = {} # job registry: see run_job below

	def __init__(self, fun, name=None, deps=None, **kwargs):
	self.do_work = fun
	self.deps = set(deps or [])
	"""CLI tool to stream CSV (from stdin) to parquet"""
	import sys
	from pathlib import Path
	from typing import TextIO

	import pandas as pd

	CHUNKSIZE=2**16 # ~65k rows per parquet chunk

	def convert(instream: TextIO, outdir: Path, chunksize=CHUNKSIZE):
	#!/usr/bin/env python3
	# This script works, but a nicer version is now available at https://github.com/acarapetis/shroudstone

	from pathlib import Path
	from typing import NamedTuple
	from urllib.request import urlopen
	from datetime import datetime, timezone, timedelta
	from time import sleep
	import json
	import pandas as pd
	#!/bin/bash
	# ~/.xsession
	systemctl --user import-environment DISPLAY XAUTHORITY
	systemctl --user restart xdg-desktop-portal-gtk
	i3