def test_singular_or_plural_zero(self) -> None:
expected = PLURAL_TEXT
prepared_data = copy(_PREPARED_DATA)
singular_or_plural(prepared_data, 'zero_value', 'final_text', SINGULAR_TEXT, PLURAL_TEXT)
actual = prepared_data['final_text']
self.assertEqual(expected, actual)
def test_singular_or_plural_plural(self) -> None:
expected = PLURAL_TEXT
prepared_data = copy(_PREPARED_DATA)
singular_or_plural(
prepared_data, "plural_value", "final_text", SINGULAR_TEXT, PLURAL_TEXT
)
actual = prepared_data["final_text"]
self.assertEqual(expected, actual)
def test_singular_or_plural_nonexistent(self) -> None:
prepared_data = copy(_PREPARED_DATA)
singular_or_plural(
prepared_data,
ALLOWED_METRICS,
"nonexistent_value",
"final_text",
SINGULAR_TEXT,
PLURAL_TEXT,
)
self.assertNotIn("final_text", prepared_data)
def _singular_or_plural_section_headers(self) -> None:
"""Ensures that each of the given labels will be made singular or plural, based on the value it is labelling."""
allowed_metrics = self.metrics_delegate.singular_or_plural_metrics
singular_or_plural(
self.prepared_data,
allowed_metrics,
"pos_discharges",
"pos_discharges_label",
"Successful Case Completion",
"Successful Case Completions",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"earned_discharges",
"earned_discharges_label",
"Early Discharge",
"Early Discharges",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"supervision_downgrades",
"supervision_downgrades_label",
"Supervision Downgrade",
"Supervision Downgrades",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"total_revocations",
"total_revocations_label",
"Revocation",
"Revocations",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"absconsions",
"absconsions_label",
"Absconsion",
"Absconsions",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"assessments",
"assessments_label",
"Risk Assessment",
"Risk Assessments",
)
singular_or_plural(
self.prepared_data,
allowed_metrics,
"facetoface",
"facetoface_label",
"Face-to-Face Contact",
"Face-to-Face Contacts",
)