Kiyoon Kim kiyoon

## run_tmux_parallel.sh
# Run multiple commands in a tmux session
script_dir=$(dirname "$(realpath -s "$0")")
if [[ $# -ne 1 ]]; then
	sess=session_name
else
	sess="$1"
fi

tmux new -d -s "$sess" -c "$script_dir"   # Use default directory as this script directory

## xterm_get_mouse_click_and_chars.c
#include <sys/ioctl.h>
#include <stdio.h>
#include <unistd.h>
#include <termios.h>

enum {
	KEYSTATE_NONE = 1024,
	KEYSTATE_ESCAPE,
	KEYSTATE_CONTROL,
	KEYSTATE_MOUSE_PROPS

## rich_progress.py
from rich.progress import (
    Progress,
    ProgressColumn,
    SpinnerColumn,
    Task,
    TextColumn,
    TimeElapsedColumn,
)
from rich.text import Text

## tensorrt_inference_torch.py
import tensorrt as trt
import torch
import tqdm

logger = trt.Logger(trt.Logger.WARNING)

runtime = trt.Runtime(logger)
with open("vae_encoder_engine.trt", "rb") as f:
    serialized_engine = f.read()

## config.py
# flake8: noqa: D100 D101 D102 D105 T201
from dataclasses import dataclass, field


@dataclass
class BaseConfig:
    @property
    def envvar_prefix(self) -> str:
        return "MLCONFIG_"

## repr_model.py
from torch import nn


def _addindent(s_, numSpaces):
    s = s_.split("\n")
    # don't do anything for single-line stuff
    if len(s) == 1:
        return s_
    first = s.pop(0)
    s = [(numSpaces * " ") + line for line in s]

## compare_safetensors.py
#!/usr/bin/env python3
from pathlib import Path
from safetensors.torch import load_file

def summarize_tensor(x):
    if x is None:
        return "None"
    x = x.float()
    return f"({x.min().item():.3f}, {x.mean().item():.3f}, {x.max().item():.3f})"

## jpgs_to_pptx.py
"""
This will make pptx slides containing images.
It assumes your images are square shaped.
"""

from glob import glob

from pptx import Presentation
from pptx.dml.color import RGBColor
from pptx.util import Inches

## awesome-bash-defaults.md

      
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                kiyoon
                / awesome-bash-defaults.md
            
            
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              November 30, 2022 17:38
            
              
                Awesome bash defaults for modern users. Locally install most of the programs.
              
          
    Configure most of the things without root permission.

Neovim, tmux, Starship, zoxide, fzf, exa, bash vi mode, ...
Starship

Shows git stats, command runtime etc. in a nice way.
zoxide

You can change directory with partial keyword you remember. It will remember the most frequent cd and find it.


## torchvision_models.py
"""
Author: Kiyoon Kim (yoonkr33@gmail.com)
Since torchvision 0.13 (PyTorch 1.12), the new `weights` parameter is introduced and the original `pretrained` parameter is now deprecated.
It supports more pretrained weights but it is more difficult to find the right one.
This script provides a backward compatible but supporting new version in ease, using strings.
"""
from __future__ import annotations
from typing import Callable, get_type_hints, get_args
from enum import Enum
from packaging import version
	# Run multiple commands in a tmux session
	script_dir=$(dirname "$(realpath -s "$0")")
	if [[ $# -ne 1 ]]; then
	sess=session_name
	else
	sess="$1"
	fi

	tmux new -d -s "$sess" -c "$script_dir" # Use default directory as this script directory
	#include <sys/ioctl.h>
	#include <stdio.h>
	#include <unistd.h>
	#include <termios.h>

	enum {
	KEYSTATE_NONE = 1024,
	KEYSTATE_ESCAPE,
	KEYSTATE_CONTROL,
	KEYSTATE_MOUSE_PROPS
	from rich.progress import (
	Progress,
	ProgressColumn,
	SpinnerColumn,
	Task,
	TextColumn,
	TimeElapsedColumn,
	)
	from rich.text import Text
	import tensorrt as trt
	import torch
	import tqdm

	logger = trt.Logger(trt.Logger.WARNING)

	runtime = trt.Runtime(logger)
	with open("vae_encoder_engine.trt", "rb") as f:
	serialized_engine = f.read()
	# flake8: noqa: D100 D101 D102 D105 T201
	from dataclasses import dataclass, field


	@dataclass
	class BaseConfig:
	@property
	def envvar_prefix(self) -> str:
	return "MLCONFIG_"
	from torch import nn


	def _addindent(s_, numSpaces):
	s = s_.split("\n")
	# don't do anything for single-line stuff
	if len(s) == 1:
	return s_
	first = s.pop(0)
	s = [(numSpaces * " ") + line for line in s]
	#!/usr/bin/env python3
	from pathlib import Path
	from safetensors.torch import load_file

	def summarize_tensor(x):
	if x is None:
	return "None"
	x = x.float()
	return f"({x.min().item():.3f}, {x.mean().item():.3f}, {x.max().item():.3f})"
	"""
	This will make pptx slides containing images.
	It assumes your images are square shaped.
	"""

	from glob import glob

	from pptx import Presentation
	from pptx.dml.color import RGBColor
	from pptx.util import Inches
	"""
	Author: Kiyoon Kim (yoonkr33@gmail.com)
	Since torchvision 0.13 (PyTorch 1.12), the new `weights` parameter is introduced and the original `pretrained` parameter is now deprecated.
	It supports more pretrained weights but it is more difficult to find the right one.
	This script provides a backward compatible but supporting new version in ease, using strings.
	"""
	from __future__ import annotations
	from typing import Callable, get_type_hints, get_args
	from enum import Enum
	from packaging import version