def test_checkIfOnlyBestMappingIsKept_ChoosesTheOneWithHighestGTConf(self):
dfs = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.UNMAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PARTIALLY_MAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PRIMARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.SECONDARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row(
"truth_probe_1",
AlignmentAssessment.SUPPLEMENTARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PRIMARY_CORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.SECONDARY_CORRECT,
gt_conf=200,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.SUPPLEMENTARY_CORRECT,
gt_conf=150,
with_gt_conf=True),
], )
report = RecallReport([dfs])
actual = report.report
expected = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.SECONDARY_CORRECT,
gt_conf=200,
with_gt_conf=True)
])
assert_frame_equal(actual, expected, check_dtype=False)
def test_checkIfOnlyBestMappingIsKept_hasPrimaryMapping_and_several_dfs(
self):
df_1 = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.UNMAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PARTIALLY_MAPPED,
gt_conf=100,
with_gt_conf=True),
], )
df_2 = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PRIMARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.SECONDARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
], )
df_3 = pd.DataFrame(data=[
create_recall_report_row(
"truth_probe_1",
AlignmentAssessment.SUPPLEMENTARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PRIMARY_CORRECT,
gt_conf=100,
with_gt_conf=True),
], )
report = RecallReport([df_1, df_2, df_3])
actual = report.report
expected = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.PRIMARY_CORRECT,
gt_conf=100,
with_gt_conf=True)
])
assert_frame_equal(actual, expected, check_dtype=False)
def test_simple_concatenation_with_several_dfs(self):
df_1 = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.UNMAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_2",
AlignmentAssessment.PARTIALLY_MAPPED,
gt_conf=100,
with_gt_conf=True),
], )
df_2 = pd.DataFrame(data=[
create_recall_report_row("truth_probe_3",
AlignmentAssessment.PRIMARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_4",
AlignmentAssessment.SECONDARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
], )
df_3 = pd.DataFrame(data=[
create_recall_report_row(
"truth_probe_5",
AlignmentAssessment.SUPPLEMENTARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_6",
AlignmentAssessment.PRIMARY_CORRECT,
gt_conf=100,
with_gt_conf=True),
], )
report = RecallReport(
[df_1, df_2, df_3],
concatenate_dfs_one_by_one_keeping_only_best_mappings=False)
actual = report.report
expected = pd.DataFrame(data=[
create_recall_report_row("truth_probe_1",
AlignmentAssessment.UNMAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_2",
AlignmentAssessment.PARTIALLY_MAPPED,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_3",
AlignmentAssessment.PRIMARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_4",
AlignmentAssessment.SECONDARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row(
"truth_probe_5",
AlignmentAssessment.SUPPLEMENTARY_INCORRECT,
gt_conf=100,
with_gt_conf=True),
create_recall_report_row("truth_probe_6",
AlignmentAssessment.PRIMARY_CORRECT,
gt_conf=100,
with_gt_conf=True),
])
assert_frame_equal(actual, expected, check_dtype=False)