diff --git a/imap_processing/tests/codice/conftest.py b/imap_processing/tests/codice/conftest.py index e4ca7d5abe..f7096dd7a1 100644 --- a/imap_processing/tests/codice/conftest.py +++ b/imap_processing/tests/codice/conftest.py @@ -236,7 +236,7 @@ def _side_effect(descriptor: str = None, data_type: str = None) -> list[Path]: return [ TEST_DATA_PATH / "l1a_lut" - / "imap_codice_l1a-sci-lut_20251007_v004.json" + / "imap_codice_l1a-sci-lut_20251218_v001.json" ] elif descriptor == "l2-hi-omni-efficiency": return [ diff --git a/imap_processing/tests/codice/test_codice_l1a_lut.py b/imap_processing/tests/codice/test_codice_l1a_lut.py index 31e1e33b10..f745ca3a83 100644 --- a/imap_processing/tests/codice/test_codice_l1a_lut.py +++ b/imap_processing/tests/codice/test_codice_l1a_lut.py @@ -24,7 +24,7 @@ def test_codice_non_zero_patterns(codice_lut_path): sci_lut_path = codice_lut_path(descriptor="l1a-sci-lut")[0] sci_lut = json.loads(sci_lut_path.read_text()) - table_id = "3952862729" + table_id = "3974360784" assert table_id in sci_lut collapse_lo = sci_lut[table_id]["collapse_lo"] @@ -98,7 +98,7 @@ def test_get_collapse_pattern_shape(codice_lut_path): """ sci_lut_path = codice_lut_path(descriptor="l1a-sci-lut")[0] - table_id = "3952862729" + table_id = "3974360784" sci_lut_data = json.loads(sci_lut_path.read_text()).get(table_id) # Lo instrument counts - singles @@ -141,7 +141,7 @@ def test_get_collapse_pattern_shape(codice_lut_path): def test_acquisition_time(codice_lut_path): sci_lut_path = codice_lut_path(descriptor="l1a-sci-lut")[0] sci_lut_data = json.loads(sci_lut_path.read_text()) - table_id = "3952862729" + table_id = "3974360784" low_stepping_tab = sci_lut_data[table_id]["lo_stepping_tab"] acq_time_per_step = calculate_acq_time_per_step(low_stepping_tab) expected_acq_times = ( diff --git a/imap_processing/tests/external_test_data_config.py b/imap_processing/tests/external_test_data_config.py index c971fb089b..9be6d19677 100644 --- a/imap_processing/tests/external_test_data_config.py +++ b/imap_processing/tests/external_test_data_config.py @@ -36,7 +36,7 @@ ("imap_codice_hskp_20250814_v001.pkts", "codice/data/l1a_input/"), # L1A LUT - ("imap_codice_l1a-sci-lut_20251007_v004.json", "codice/data/l1a_lut/"), + ("imap_codice_l1a-sci-lut_20251218_v001.json", "codice/data/l1a_lut/"), # L1A validation data (f"imap_codice_l1a_hi-counters-aggregated_{VALIDATION_FILE_DATE}_{VALIDATION_FILE_VERSION}.cdf", "codice/data/l1a_validation"), diff --git a/imap_processing/tests/ialirt/unit/test_process_codice.py b/imap_processing/tests/ialirt/unit/test_process_codice.py index 4e27076406..6e372bbccb 100644 --- a/imap_processing/tests/ialirt/unit/test_process_codice.py +++ b/imap_processing/tests/ialirt/unit/test_process_codice.py @@ -351,7 +351,7 @@ def l1a_lut_path(): / "codice" / "data" / "l1a_lut" - / "imap_codice_l1a-sci-lut_20251007_v004.json" + / "imap_codice_l1a-sci-lut_20251218_v001.json" ) return lut_path @@ -400,7 +400,7 @@ def test_create_xarray_dataset_basic(l1a_lut_path): science_values = ["0000000100100011"] metadata_values = { "VIEW_ID": np.array([0]), - "TABLE_ID": np.array([3952862729]), + "TABLE_ID": np.array([3974360784]), "ACQ_START_SECONDS": np.array([1625078400]), "ACQ_START_SUBSECONDS": np.array([0]), "SPIN_PERIOD": np.array([24]),