ajelenak

import argparse
import json
import operator
from collections import defaultdict
from dataclasses import dataclass
from functools import partial, reduce
import os
from typing import Any, Union
from configparser import ConfigParser
from pathlib import Path

ajelenak

import argparse
from warnings import warn
import h5py


WARN_UBLOCK_SIZE = 10 * 1024 * 1024
COPY_BLOCK_SIZE = 10 * 1024 * 1024

parser = argparse.ArgumentParser(
    description='Add empty user block to an HDF5 file.',

ajelenak

@startmindmap HDF5 Ecosystem

<style>
node {
    RoundCorner 40
    MaximumWidth 300
    FontName Helvetica
    FontSize 18
}
rootNode {

ajelenak

import sys
import h5py


def comp_ratio(name, obj):
    if isinstance(obj, h5py.Dataset) and obj.chunks is not None:
        if obj.id.get_create_plist().get_nfilters():
            stor_size = obj.id.get_storage_size()
            if stor_size != 0:
                ratio = float(obj.nbytes) / float(stor_size)

ajelenak

@startuml HDF5 Universe

title HDF5 Universe

together {
    folder "Abstract\nData Model" as ADM
    folder "Programming\nModel" as PM
    folder Library as L
}

ajelenak

# Requirements:
# HDF5 library version 1.10.5 or later
# h5py version 3.0 or later
# pip install git+https://github.com/HDFGroup/zarr-python.git@hdf5

import logging
from urllib.parse import urlparse, urlunparse
import numpy as np
import h5py
import zarr

ajelenak

{
    "metadata": {
        ".zattrs": {
            "Conventions": "UGRID-0.9.0",
            "_FillValue": -99999.0,
            "_NCProperties": "version=1|h5netcdfversion=0.6.1|hdf5libversion=1.10.2",
            "a00": 0.35,
            "agrid": "grid",
            "b00": 0.3,
            "c00": 0.35,

ajelenak

#!/usr/bin/env python3
"""
Print storage information for every HDF5 dataset in a file.

Run "store_info.py --help" for information.
"""
from os import SEEK_SET
import argparse
import json
from functools import partial

ajelenak

ajelenak