chapmanjacobd

for i in (seq -w 1 50)
   bchunk -w Dolphin\'s\ Mind\ -\ Fluid\ \(Germany\)\ \(The\ Full\ Dream\ Dance\ Megamix\)\ \(Track\ $i\).bin (
   echo "FILE \"Dolphin\'s Mind - Fluid (Germany) (The Full Dream Dance Megamix) (Track $i).bin\" BINARY
     TRACK $i AUDIO
   "| psub
   ) DolpinMindMegamix
end

chapmanjacobd

def flatten_shadows(driver):
    # Shadow DOM can go to hell !!
    from selenium.webdriver.common.by import By
    from selenium.webdriver.support import expected_conditions as EC
    from selenium.webdriver.support.wait import WebDriverWait

    def get_all_elements(driver, elements):
        for el in elements:
            shadow_root = driver.execute_script("return arguments[0].shadowRoot", el)
            if shadow_root:

chapmanjacobd

gitls

git ls-files --sparse --full-name -z | 
  xargs -0 -I FILE -P 20 git log --date=iso-strict-local --format='%ad %>(14) %cr %<(5) %an  %h ./FILE' -- FILE | 
  sort --general-numeric-sort

This lists the files and hashes for each git commit and file:

2021-12-05T13:32:32-06:00  1 year, 11 months ago  Jacob Chapman  cc91fa0 ./.gitattributes

2021-12-05T13:32:32-06:00 1 year, 11 months ago Jacob Chapman cc91fa0 ./.gitignore

chapmanjacobd

timeout -s HUP 3s parallel --timeout 10 -j2 sleep {} ::: 10 12 15 10 8 15

string split ' ' 10 12 15 10 8 15 | timeout -s HUP 3s parallel --timeout 10 -j2 sleep {}

chapmanjacobd

def decode_full_scan(path):
    ffprobe_cmd = [
        'ffprobe', '-show_entries', 'stream=r_frame_rate,nb_read_frames,duration',
        '-select_streams', 'v', '-count_frames',
        '-of', 'json',
        '-threads', '20',
        '-v', '0',
        path,
    ]

chapmanjacobd

javascript:(function(){

  var previousScroll;
  var scrollInterval;
  var nextPageTimeout;

  function scrollAndCheck() {
    previousScroll = window.scrollY;
    window.scrollBy(0, 3000);

chapmanjacobd

def rank_dataframe(df, ascending_cols=None):
    if ascending_cols is None:
        ascending_cols = []

    numeric_cols = df.select_dtypes(include=["number"]).columns
    ranks = df[numeric_cols].apply(
        lambda x: x.rank(
            method="min", na_option="bottom", ascending=x.name in ascending_cols
        )
    )

chapmanjacobd

def rebin_folders(paths, max_files_per_folder=16000):
    parent_paths = Counter(Path(p).parent for p in paths)
    rebin_parents = set(k for k,v in parent_paths.items() if v > max_files_per_folder)

    rebinned = set(p for p in paths if Path(p).parent in rebin_parents)
    untouched = set(paths) - rebinned

    rebinned_tuples = []
    chunked = list(chunks(list(rebinned), max_files_per_folder))
    min_len = len(str(len(chunked) + 1))  # start at 1

chapmanjacobd

def mpv_enrich(args, media) -> List[Dict]:
    for m in media:
        md5 = path_to_mpv_watchlater_md5(m["path"])
        metadata_path = Path(args.watch_later_directory, md5)
        if metadata_path.exists():
            m["time_partial_first"] = int(metadata_path.stat().st_ctime)
            m["time_partial_last"] = int(metadata_path.stat().st_mtime)
        else:
            m["time_partial_first"] = 0

chapmanjacobd

def calculate_sparseness(stat) -> int:
    if stat.st_size == 0:
        sparseness = 0
    else:
        blocks_allocated = stat.st_blocks * 512
        sparseness = blocks_allocated / stat.st_size
    return sparseness