Parsing the numerical output from Sensovation SensoSpot image analysis.
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""" Stub file for testing the project """
from pathlib import Path
import numpy
import pytest
EXAMPLE_DIR_WO_PARAMS = "mtp_wo_parameters"
EXAMPLE_DIR_WITH_PARAMS = "mtp_with_parameters"
@pytest.fixture
def example_dir(request):
root_dir = Path(request.config.rootdir)
yield root_dir / "example_data"
@pytest.fixture
def example_file(example_dir):
data_dir = example_dir / EXAMPLE_DIR_WO_PARAMS
yield data_dir / "160210_SG2-010-001_Regen_cy3100_1_A1_1.csv"
@pytest.mark.parametrize(
"sub_dir,file_name",
[
(
EXAMPLE_DIR_WO_PARAMS,
"160218_SG2-013-001_Regen1_Cy3-100_1_A1_1.csv",
),
(
EXAMPLE_DIR_WITH_PARAMS,
"160210_SG2-010-001_Regen_cy3100_1_A1_1.csv",
),
],
)
def test_parse_csv(example_dir, sub_dir, file_name):
from sensovation_data_parser import _parse_csv
result = _parse_csv(example_dir / sub_dir / file_name)
columns = {
" ID ": numpy.int64,
"Pos.X": numpy.int64,
"Pos.Y": numpy.int64,
"Bkg.Mean": float,
"Spot.Mean": float,
"Bkg.Median": float,
"Spot.Median": float,
"Bkg.StdDev": float,
"Spot.StdDev": float,
"Bkg.Sum": numpy.int64,
"Spot.Sum": numpy.int64,
"Bkg.Area": numpy.int64,
"Spot.Area": numpy.int64,
"Spot.Sat. (%)": numpy.int64,
"Found": numpy.bool_,
"Pos.Nom.X": numpy.int64,
"Pos.Nom.Y": numpy.int64,
"Dia.": numpy.int64,
"Rect.": str,
"Contour": object, # ignore the type of contour
}
assert set(result.columns) == set(columns.keys())
assert len(result[" ID "].unique()) == 100
assert len(result) == 100
for column, value_type in columns.items():
assert isinstance(result[column][0], value_type)
@pytest.mark.parametrize(
"input,expected", [("", "."), ("..,", "."), (".,,", ","), ("..,,", "."),]
)
def test_guess_decimal_separator_returns_correct_separator(input, expected):
from sensovation_data_parser import _guess_decimal_separator
from io import StringIO
handle = StringIO(f"header\n{input}\n")
result = _guess_decimal_separator(handle)
assert result == expected
def test_guess_decimal_separator_rewinds_handle():
from sensovation_data_parser import _guess_decimal_separator
from io import StringIO
handle = StringIO(f"header\n{input}\n")
_guess_decimal_separator(handle)
assert next(handle) == "header\n"