Split out matix calculations from CSM, and continue testing recentre
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3 changed files with 122 additions and 14 deletions
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@ -31,8 +31,9 @@ from camera_stage_mapping.exceptions import MappingError
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import labthings_fastapi as lt
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import labthings_fastapi as lt
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from labthings_fastapi.types.numpy import DenumpifyingDict
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from labthings_fastapi.types.numpy import DenumpifyingDict
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from camera_stage_mapping.camera_stage_tracker import Tracker
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from camera_stage_mapping.camera_stage_tracker import Tracker
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from openflexure_microscope_server.utilities import apply_2d_matrix_to_mapping
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from .camera import CameraDependency as CameraClient
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from .camera import CameraDependency as CameraClient
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from .stage import StageDependency as Stage
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from .stage import StageDependency as Stage
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@ -218,8 +219,8 @@ class CameraStageMapper(lt.Thing):
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.. code-block:: python
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.. code-block:: python
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stage_disp = np.dot(
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stage_disp = np.dot(
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np.array(image_to_stage_displacement_matrix),
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np.array([dy,dx]),
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np.array([dy,dx]),
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np.array(image_to_stage_displacement_matrix),
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)
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)
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"""
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"""
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@ -281,22 +282,20 @@ class CameraStageMapper(lt.Thing):
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) -> Mapping[str, int]:
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) -> Mapping[str, int]:
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"""Convert image coordinates to stage coordinates. Only x and y are returned."""
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"""Convert image coordinates to stage coordinates. Only x and y are returned."""
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self.assert_calibrated()
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self.assert_calibrated()
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relative_move: np.ndarray = np.dot(
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return apply_2d_matrix_to_mapping(
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np.array([y, x]), np.array(self.image_to_stage_displacement_matrix)
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self.image_to_stage_displacement_matrix, x=x, y=y, to_int=True
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)
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)
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return {"x": int(relative_move[0]), "y": int(relative_move[1])}
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@lt.thing_action
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@lt.thing_action
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def convert_stage_to_image_coordinates(
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def convert_stage_to_image_coordinates(
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self, x: float, y: float, **_kwargs: float
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self, x: int, y: int, **_kwargs: int
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) -> Mapping[str, int]:
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) -> Mapping[str, float]:
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"""Convert stage coordinates to image coordinates. Only x and y are returned."""
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"""Convert stage coordinates to image coordinates. Only x and y are returned."""
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self.assert_calibrated()
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self.assert_calibrated()
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inverse_matrix = np.linalg.inv(
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inverse_matrix = np.linalg.inv(
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np.array(self.image_to_stage_displacement_matrix)
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np.array(self.image_to_stage_displacement_matrix)
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)
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)
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relative_move = np.dot(np.array([x, y]), inverse_matrix)
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return apply_2d_matrix_to_mapping(inverse_matrix, x=x, y=y, to_int=False)
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return {"x": int(relative_move[1]), "y": int(relative_move[0])}
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@lt.thing_property
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@lt.thing_property
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def thing_state(self) -> Mapping[str, Any]:
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def thing_state(self) -> Mapping[str, Any]:
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@ -11,6 +11,7 @@ from typing import (
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overload,
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overload,
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TypeAlias,
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TypeAlias,
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Literal,
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Literal,
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Mapping,
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)
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)
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import os
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import os
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import re
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import re
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@ -22,6 +23,7 @@ import tomllib
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from functools import wraps
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from functools import wraps
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import json
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import json
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import numpy as np
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from pydantic import BaseModel
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from pydantic import BaseModel
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T = TypeVar("T")
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T = TypeVar("T")
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@ -475,3 +477,54 @@ def resolve_path_from_dir(path: str, directory: str) -> str:
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if not os.path.isabs(path):
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if not os.path.isabs(path):
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path = os.path.join(directory, path)
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path = os.path.join(directory, path)
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return os.path.normpath(path)
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return os.path.normpath(path)
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# Use overload to that the dict is either of integers or of float depending on the
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# to_int argument
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@overload
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def apply_2d_matrix_to_mapping(
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matrix: np.ndarray,
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*,
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x: float | int,
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y: float | int,
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to_int: Literal[False],
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**_kwargs: int,
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) -> Mapping[str, float]: ...
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@overload
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def apply_2d_matrix_to_mapping(
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matrix: np.ndarray,
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*,
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x: float | int,
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y: float | int,
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to_int: Literal[True],
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**_kwargs: int,
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) -> Mapping[str, int]: ...
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@overload
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def apply_2d_matrix_to_mapping(
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matrix: np.ndarray, *, x: float | int, y: float | int, **_kwargs: int
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) -> Mapping[str, float]: ...
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def apply_2d_matrix_to_mapping(
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matrix: np.ndarray,
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*,
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x: float | int,
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y: float | int,
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to_int: bool = False,
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**_kwargs: int,
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) -> Mapping[str, int] | Mapping[str, float]:
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"""Perform a dot product with a (x,y) vector and a matrix. The result is a mapping.
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This is designed x and y must be kwargs and extra kwargs are ignored allowing:
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``apply_2d_matrix_to_mapping(matrix, **position)`` to run for a mapping position.
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:param matrix: The matrix to use in the calculation
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:param x: the x coordinate (keyword only)
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:param y: the y coordinate (keyword only)
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:param to_int: Whether to convert the resulting coordinates to integers
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:return: The resulting coordinates as a mapping.
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"""
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relative_move: np.ndarray = np.dot(np.array([y, x]), np.array(matrix))
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if to_int:
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return {"x": round(relative_move[0]), "y": round(relative_move[1])}
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return {"x": float(relative_move[0]), "y": float(relative_move[1])}
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@ -12,6 +12,7 @@ import pytest
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import labthings_fastapi as lt
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import labthings_fastapi as lt
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from openflexure_microscope_server.things import stage_measure
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from openflexure_microscope_server.things import stage_measure
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from openflexure_microscope_server.utilities import apply_2d_matrix_to_mapping
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LOGGER = logging.getLogger("mock-invocation_logger")
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LOGGER = logging.getLogger("mock-invocation_logger")
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@ -162,11 +163,15 @@ def rom_thing(example_rom_data) -> stage_measure.RangeofMotionThing:
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@pytest.fixture
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@pytest.fixture
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def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
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def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
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"""Return a RomDeps object full of mocks, except the logger which is LOGGER."""
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"""Return a RomDeps object full of mocks, except the logger which is LOGGER."""
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inverse_matrix = np.linalg.inv(csm_matrix)
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def apply_csm(x: float, y: float) -> dict[str, int]:
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def apply_csm(x: float, y: float, **_kwargs: float) -> dict[str, int]:
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"""Convert image coordinates to stage coordinates."""
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"""Convert image coordinates to stage coordinates."""
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vec = np.dot(np.array([y, x]), np.array(csm_matrix))
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return apply_2d_matrix_to_mapping(csm_matrix, x=x, y=y, to_int=True)
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return {"x": int(vec[0]), "y": int(vec[1])}
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def un_apply_csm(x: float, y: float, **_kwargs: float) -> dict[str, float]:
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"""Convert stage coordinates to image coordinates."""
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return apply_2d_matrix_to_mapping(inverse_matrix, x=x, y=y, to_int=True)
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mock_cam = mocker.Mock()
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mock_cam = mocker.Mock()
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mock_cam.image_is_sample.return_value = (True, "Mocked not measured.")
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mock_cam.image_is_sample.return_value = (True, "Mocked not measured.")
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@ -175,6 +180,7 @@ def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
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# Set up mock csm to return a CSM matrix
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# Set up mock csm to return a CSM matrix
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mock_csm.image_to_stage_displacement_matrix = csm_matrix
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mock_csm.image_to_stage_displacement_matrix = csm_matrix
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mock_csm.convert_image_to_stage_coordinates.side_effect = apply_csm
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mock_csm.convert_image_to_stage_coordinates.side_effect = apply_csm
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mock_csm.convert_stage_to_image_coordinates.side_effect = un_apply_csm
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return stage_measure.RomDeps(
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return stage_measure.RomDeps(
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autofocus=mocker.Mock(),
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autofocus=mocker.Mock(),
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@ -185,6 +191,53 @@ def mock_rom_deps(csm_matrix, mocker) -> stage_measure.RomDeps:
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)
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)
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@pytest.mark.parametrize(
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("pos", "target_pos", "axis", "expected_dir"),
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[
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({"x": 5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", 1),
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({"x": -5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", -1),
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({"x": 0, "y": 0, "z": 0}, {"x": 5000, "y": 0, "z": 0}, "x", -1),
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# Y is flipped due to CSM sign
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({"x": 0, "y": 5000, "z": 0}, {"x": 0, "y": 0, "z": 0}, "y", -1),
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],
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)
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def test_img_dir_from_stage_coords(
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pos, target_pos, axis, expected_dir, rom_thing, mock_rom_deps
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):
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"""Check image direction is correctly generated."""
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mock_rom_deps.stage.position = pos
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direction = rom_thing._img_dir_from_stage_coords(target_pos, axis, mock_rom_deps)
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assert direction == expected_dir
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def test_distance_in_img_percentage_err(rom_thing, mock_rom_deps):
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"""Check that _distance_in_img_percentage throws error if stream res is not set."""
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rom_thing._stream_resolution = None
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with pytest.raises(RuntimeError):
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rom_thing._distance_in_img_percentage(
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{"x": 0, "y": 0, "z": 0}, "x", mock_rom_deps
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)
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@pytest.mark.parametrize(
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("pos", "target_pos", "axis", "expected_perc"),
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[
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({"x": 5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", 346.625),
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({"x": -5000, "y": 0, "z": 0}, {"x": 0, "y": 0, "z": 0}, "x", -346.625),
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({"x": 0, "y": 0, "z": 0}, {"x": 5000, "y": 0, "z": 0}, "x", -346.625),
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# Y is flipped due to CSM sign
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({"x": 0, "y": 5000, "z": 0}, {"x": 0, "y": 0, "z": 0}, "y", -470.0),
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],
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)
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def test_distance_in_img_percentage(
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pos, target_pos, axis, expected_perc, rom_thing, mock_rom_deps
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):
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"""Check _distance_in_img_percentage calculates expected values based on mock CSM."""
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mock_rom_deps.stage.position = pos
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img_perc = rom_thing._distance_in_img_percentage(target_pos, axis, mock_rom_deps)
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assert expected_perc == img_perc
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def test_offset_from(rom_thing, mock_rom_deps, mocker):
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def test_offset_from(rom_thing, mock_rom_deps, mocker):
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"""Check the calls and returns for RangeofMotionThing._offset_from."""
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"""Check the calls and returns for RangeofMotionThing._offset_from."""
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# Set up mock for the FFT displacement
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# Set up mock for the FFT displacement
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@ -551,13 +604,16 @@ def test_move_until_edge(rom_thing, mock_rom_deps, mocker):
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]
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]
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def test_perform_rom_test_locked(rom_thing, mock_rom_deps):
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def test_perform_rom_actions_locked(rom_thing, mock_rom_deps):
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"""Check the error if the Rom test is locked."""
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"""Check the error if running one of the calibration actions while locked."""
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# Not an RLock so no need to thread.
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# Not an RLock so no need to thread.
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rom_thing._lock.acquire()
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rom_thing._lock.acquire()
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err_msg = "Trying to run ROM test when a test is already running."
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err_msg = "Trying to run ROM test when a test is already running."
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with pytest.raises(RuntimeError, match=err_msg):
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with pytest.raises(RuntimeError, match=err_msg):
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rom_thing.perform_rom_test(**dataclasses.asdict(mock_rom_deps))
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rom_thing.perform_rom_test(**dataclasses.asdict(mock_rom_deps))
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err_msg = "Trying to run recentre when a test is already running."
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with pytest.raises(RuntimeError, match=err_msg):
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rom_thing.perform_recentre(**dataclasses.asdict(mock_rom_deps))
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def test_perform_rom_test_(rom_thing, mock_rom_deps, mocker):
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def test_perform_rom_test_(rom_thing, mock_rom_deps, mocker):
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