File: ahi_hsd_benchmarks.py

package info (click to toggle)
satpy 0.55.0-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 38,432 kB
  • sloc: python: 89,849; xml: 820; makefile: 150; javascript: 23
file content (76 lines) | stat: -rw-r--r-- 2,759 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2021 Satpy developers
#
# This file is part of satpy.
#
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# satpy.  If not, see <http://www.gnu.org/licenses/>.
"""Benchmark AHI HSD operations.."""

from __future__ import annotations

import os

from pyspectral.rayleigh import check_and_download as download_luts
from pyspectral.rsr_reader import check_and_download as download_rsr

from benchmarks.utils import GeoBenchmarks, get_filenames


class HimawariHSD(GeoBenchmarks):
    """Benchmark Himawari HSD reading."""

    timeout = 600
    data_files: list[str] = []
    subdir = os.path.join("ahi_hsd", "20210417_0500_typhoon_surigae")
    reader = "ahi_hsd"

    def setup_cache(self):
        """Fetch the data files."""
        try:
            from satpy.demo import download_typhoon_surigae_ahi
            download_typhoon_surigae_ahi(channels=[1, 2, 3, 4], segments=[4])
        except ImportError:
            assert len(get_filenames(self.subdir)) == 4  # nosec
        download_rsr()
        download_luts(aerosol_types=["rayleigh_only"])

    def setup(self):
        """Set up the benchmarks."""
        import dask.config
        self.data_files = get_filenames(self.subdir)
        dask.config.set({"array.chunk-size": "32MiB"})

    def time_load_one_channel(self):
        """Time the loading of one channel."""
        self.compute_channel("B01")

    def peakmem_load_one_channel(self):
        """Check peak memory usage of loading one channel."""
        self.compute_channel("B01")

    def time_load_true_color(self):
        """Time the loading of the generation of true_color."""
        self.compute_composite("true_color")

    def peakmem_load_true_color(self):
        """Check peak memory usage of the generation of true_color."""
        self.compute_composite("true_color")

    def time_save_true_color_nocorr_to_geotiff(self):
        """Time the generation and saving of true_color_nocorr."""
        self.save_composite_as_geotiff("true_color_nocorr")

    def peakmem_save_true_color_to_geotiff(self):
        """Check peak memory usage of the generation and saving of true_color_nocorr."""
        self.save_composite_as_geotiff("true_color_nocorr")