mirror of
https://github.com/slsdetectorgroup/aare.git
synced 2026-06-20 20:20:27 +02:00
mazzol_a
ee7503082d
- reshape image directly in decoder such that first dimension is num counters - take into account chip artefact in decoder. --------- Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
58 lines
2.4 KiB
Python
58 lines
2.4 KiB
Python
import pytest
|
|
import numpy as np
|
|
from aare import CtbRawFile, transform
|
|
|
|
@pytest.mark.withdata
|
|
def test_matterhorn10_16bit(test_data_path):
|
|
"""Matterhorn10Transform 1 counter 16 bit dynamic range"""
|
|
with CtbRawFile(test_data_path / "raw/Matterhorn10/16bit_master_0.json", transform = transform.Matterhorn10Transform(dynamic_range=16, num_counters=1)) as f:
|
|
headers, frames = f.read_frame()
|
|
|
|
assert frames.shape == (1, 256, 256)
|
|
assert frames.dtype == np.uint16
|
|
|
|
expected_data = np.tile(np.arange(255, -1, -1,dtype=np.uint16), (1, 256, 1)) # TODO: endianess issue ?
|
|
|
|
assert np.all(frames == expected_data)
|
|
|
|
|
|
@pytest.mark.withdata
|
|
def test_matterhorn10_8bit(test_data_path):
|
|
"""Matterhorn10Transform 1 counter 8 bit dynamic range"""
|
|
with CtbRawFile(test_data_path / "raw/Matterhorn10/8bit_master_1.json", transform = transform.Matterhorn10Transform(dynamic_range=8, num_counters=1)) as f:
|
|
headers, frames = f.read_frame()
|
|
|
|
assert frames.shape == (1, 256, 256)
|
|
assert frames.dtype == np.uint8
|
|
|
|
expected_data = np.tile(np.arange(255, -1, -1,dtype=np.uint8), (1, 256, 1)) # TODO: endianess issue ?
|
|
|
|
assert np.all(frames == expected_data)
|
|
|
|
@pytest.mark.withdata
|
|
def test_matterhorn10_4bit(test_data_path):
|
|
""" Matterhorn10Transform 1 counter 4 bit dynamic range """
|
|
with CtbRawFile(test_data_path / "raw/Matterhorn10/newnewrun_4bit_1counter_master_0.json", transform = transform.Matterhorn10Transform(dynamic_range=4, num_counters=1)) as f:
|
|
headers, frames = f.read_frame()
|
|
|
|
assert frames.shape == (1, 256, 256)
|
|
assert frames.dtype == np.uint8
|
|
|
|
expected_data = np.tile(np.tile(np.arange(15, -1, -1, dtype=np.uint8), 16), (1, 256, 1)) # TODO: endianess issue ?
|
|
|
|
assert np.all(frames == expected_data)
|
|
|
|
@pytest.mark.withdata
|
|
def test_matterhorn10_16bit_4counters(test_data_path):
|
|
"""Matterhorn10Transform 4 counters 16 bit dynamic range"""
|
|
|
|
with CtbRawFile(test_data_path / "raw/Matterhorn10/4counter_16bit_master_4.json", transform = transform.Matterhorn10Transform(dynamic_range=16, num_counters=4)) as f:
|
|
headers, frames = f.read_frame()
|
|
|
|
assert frames.shape == (4, 256, 256)
|
|
assert frames.dtype == np.uint16
|
|
|
|
expected_data = np.tile(np.arange(255, -1, -1,dtype=np.uint16), (4, 256, 1)) # TODO: endianess issue ?
|
|
|
|
assert np.all(frames == expected_data)
|