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Add checks / tests for AFIDs coord array shape #10

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Aug 1, 2023
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11 changes: 11 additions & 0 deletions afids_utils/io.py
Original file line number Diff line number Diff line change
Expand Up @@ -90,6 +90,17 @@ def afids_to_fcsv(
)
fcsv = list(reader)

# Check to make sure shape of AFIDs array matches expected template
if afid_coords.shape[0] != len(fcsv):
raise TypeError(
f"Expected {len(fcsv)} AFIDs, but received {afid_coords.shape[0]}."
)
if afid_coords.shape[1] != 3:
raise TypeError(
"Expected 3 spatial dimensions (x, y, z),"
f"but received {afid_coords.shape[1]}."
)

# Loop over fiducials and update with fiducial spatial coordinates
for idx, row in enumerate(fcsv):
row["x"] = afid_coords[idx][0]
Expand Down
15 changes: 14 additions & 1 deletion afids_utils/tests/strategies.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,10 +12,23 @@ def afid_coords(
min_value: float = -50.0,
max_value: float = 50.0,
width: int = 16,
bad_range: bool = False,
bad_dims: bool = False,
) -> NDArray[np.single]:
# Set (in)valid dimensions for array containing AFID coords
num_afids, spatial_dims = 32, 3
if bad_range:
num_afids = draw(
st.integers(min_value=0, max_value=100).filter(lambda x: x != 32)
)
if bad_dims:
spatial_dims = draw(
st.integers(min_value=0, max_value=10).filter(lambda x: x != 3)
)

return draw(
arrays(
shape=(32, 3),
shape=(num_afids, spatial_dims),
dtype=np.single,
elements=st.floats(
min_value=min_value, max_value=max_value, width=width
Expand Down
91 changes: 53 additions & 38 deletions afids_utils/tests/test_io.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

import csv
import tempfile
from os import PathLike, remove
from os import PathLike
from pathlib import Path

import numpy as np
Expand Down Expand Up @@ -64,47 +64,62 @@ def test_invalid_template(self, afids_coords: NDArray[np.single]) -> None:
"/invalid/fcsv/path",
)

@given(afids_coords=afid_coords(bad_range=True))
def test_invalid_num_afids(self, afids_coords: NDArray[np.single]) -> None:
with tempfile.NamedTemporaryFile(
mode="w", prefix="sub-test_desc-", suffix="_afids.fcsv"
) as out_fcsv_file:
with pytest.raises(TypeError) as err:
afids_to_fcsv(afids_coords, out_fcsv_file)

assert "AFIDs, but received" in str(err.value)

@given(afids_coords=afid_coords(bad_dims=True))
def test_invalid_afids_dims(
self, afids_coords: NDArray[np.single]
) -> None:
with tempfile.NamedTemporaryFile(
mode="w", prefix="sub-test_desc-", suffix="_afids.fcsv"
) as out_fcsv_file:
with pytest.raises(TypeError) as err:
afids_to_fcsv(afids_coords, out_fcsv_file)

assert "Expected 3 spatial dimensions" in str(err.value)

@given(afids_coords=afid_coords())
@settings(
suppress_health_check=[HealthCheck.function_scoped_fixture],
)
def test_write_fcsv(
self, afids_coords: NDArray[np.single], valid_fcsv_file: PathLike[str]
) -> None:
out_fcsv_file = tempfile.NamedTemporaryFile(
mode="w", delete=False, prefix="sub-test_afids.fcsv"
)
out_fcsv_path = Path(out_fcsv_file.name)

afids_to_fcsv(afids_coords, out_fcsv_path)

# Check file was created
assert out_fcsv_path.exists()

# Load files
with open(
valid_fcsv_file, "r", encoding="utf-8", newline=""
) as template_fcsv_file:
template_header = [template_fcsv_file.readline() for _ in range(3)]

with open(
out_fcsv_path, "r", encoding="utf-8", newline=""
) as output_fcsv_file:
output_header = [output_fcsv_file.readline() for _ in range(3)]
reader = csv.DictReader(
output_fcsv_file, fieldnames=FCSV_FIELDNAMES
)
output_fcsv = list(reader)

# Check header
assert output_header == template_header
# Check contents
for idx, row in enumerate(output_fcsv):
assert (row["x"], row["y"], row["z"]) == (
str(afids_coords[idx][0]),
str(afids_coords[idx][1]),
str(afids_coords[idx][2]),
)

# Delete temporary file
remove(out_fcsv_path)
with tempfile.NamedTemporaryFile(
mode="w", prefix="sub-test_desc-", suffix="_afids.fcsv"
) as out_fcsv_file:
# Create and check output file
afids_to_fcsv(afids_coords, out_fcsv_file.name)

# Load files
with open(
valid_fcsv_file, "r", encoding="utf-8", newline=""
) as template_fcsv_file, open(
out_fcsv_file.name, "r", encoding="utf-8", newline=""
) as output_fcsv_file:
template_header = [
template_fcsv_file.readline() for _ in range(3)
]
output_header = [output_fcsv_file.readline() for _ in range(3)]
reader = csv.DictReader(
output_fcsv_file, fieldnames=FCSV_FIELDNAMES
)
output_fcsv = list(reader)

# Check header
assert output_header == template_header
# Check contents
for idx, row in enumerate(output_fcsv):
assert (row["x"], row["y"], row["z"]) == (
str(afids_coords[idx][0]),
str(afids_coords[idx][1]),
str(afids_coords[idx][2]),
)