scottstanie

#!/usr/bin/env python
# requirements: h5py, rich
import sys

import h5py
from rich.console import Console
from rich.table import Table


def _get_object_metadata(obj) -> tuple[str, float, float] | None:

scottstanie

#/usr/bin/env bash
set -e
set -x

# Check if INSTALL_PREFIX is set; otherwise, error
if [ -z "$INSTALL_PREFIX" ]; then
    echo "INSTALL_PREFIX is not set"
    echo "Example usage: INSTALL_PREFIX='~/.local/bin' bash $0"
    exit 1
fi

scottstanie

import datetime
import re
from pathlib import Path
from typing import Union

import pandas as pd
import xarray as xr

Filename = Union[str, Path]

scottstanie

#!/usr/bin/env python
# pip install requests rich beautifulsoup4
import sys

import requests
from bs4 import BeautifulSoup
from rich.console import Console
from rich.panel import Panel

URL = "https://dailytao.org/"

scottstanie

#!/usr/bin/env python
import argparse
from pathlib import Path


def split_file(filename: str | Path, lines_per_file: int, output_prefix: str):
    """Split a text file into multiple files.
    
    Parameters
    ----------

scottstanie

import requests
from concurrent.futures import ThreadPoolExecutor


def get_s3_direct_urls(
    safe_names: list[str], max_workers: int = 5
) -> str | None:
    """Get the S3 urls for a list of SAFE granules."""

    def _get_url(safe_name):

scottstanie

import subprocess
import time
from pathlib import Path

import h5py
import numpy as np
from dolphin import io


class GDALStackReader:

scottstanie

#!/usr/bin/env python
import sys
from pathlib import Path

from compass.utils import helpers
from shapely import geometry
import numpy as np

import s1reader

scottstanie

from dolphin.io import load_gdal, get_raster_xysize, get_raster_nodata, get_raster_dtype, get_raster_chunk_size

class GDALReader:
    # https://docs.dask.org/en/stable/generated/dask.array.from_array.html
    def __init__(self, filename, masked=True):
        self.filename = filename
        self._shape = get_raster_xysize(filename)[::-1]
        self._nodata = get_raster_nodata(filename)
        self._masked = masked
        self._dtype = get_raster_dtype(filename)

scottstanie

from __future__ import annotations
import datetime
from typing import Optional, Any


import h5netcdf
import h5py
import numpy as np
import pyproj