Merge pull request #1022 from VisLab/test_branch

Synching up with tests

hed/errors/error_messages.py

@@ -42,7 +42,7 @@ def val_error_invalid_char(source_string, char_index):
 
 
 @hed_tag_error(ValidationErrors.ELEMENT_DEPRECATED, default_severity=ErrorSeverity.WARNING)
-def val_error_element_deprecatedr(tag):
+def val_error_element_deprecated(tag):
     return f"Element '{tag}' has been deprecated and an alternative method of tagging should be used"
 
 

hed/errors/schema_error_messages.py

@@ -33,22 +33,22 @@ def schema_error_SCHEMA_INVALID_CHILD(tag, child_tag_list):
 
 @hed_error(SchemaAttributeErrors.SCHEMA_ATTRIBUTE_INVALID)
 def schema_error_unknown_attribute(attribute_name, source_tag):
-    return f"Attribute '{attribute_name}' used by '{source_tag}' " + \
-    "was not defined in the schema, or was used outside of it's defined class."
+    return (f"Attribute '{attribute_name}' used by '{source_tag}' " +
+            "was not defined in the schema, or was used outside of it's defined class.")
 
 
 @hed_error(SchemaWarnings.SCHEMA_PRERELEASE_VERSION_USED, default_severity=ErrorSeverity.WARNING)
 def schema_error_SCHEMA_PRERELEASE_VERSION_USED(current_version, known_versions):
-    return f"Schema version {current_version} used, which is prerelease or unofficial. " + \
-    f"Known versions are: {', '.join(known_versions)}"
+    return (f"Schema version {current_version} used, which is prerelease or unofficial. " +
+            f"Known versions are: {', '.join(known_versions)}")
 
 
 @hed_error(SchemaWarnings.SCHEMA_PROLOGUE_CHARACTER_INVALID, default_severity=ErrorSeverity.WARNING,
            actual_code=SchemaWarnings.SCHEMA_CHARACTER_INVALID)
 def schema_error_invalid_character_prologue(char_index, source_string, section_name):
     invalid_char = source_string[char_index]
-    return f"'{section_name}' has invalid character '{invalid_char}' at " + \
-    f"position {char_index} of string: {source_string}"
+    return (f"'{section_name}' has invalid character '{invalid_char}' at " +
+            f"position {char_index} of string: {source_string}")
 
 
 @hed_error(SchemaWarnings.SCHEMA_INVALID_CHARACTERS_IN_DESC, default_severity=ErrorSeverity.WARNING,
@@ -91,8 +91,8 @@ def schema_error_SCHEMA_CHILD_OF_DEPRECATED(deprecated_tag, non_deprecated_child
 @hed_error(SchemaAttributeErrors.SCHEMA_ATTRIBUTE_VALUE_DEPRECATED,
            actual_code=SchemaAttributeErrors.SCHEMA_DEPRECATION_ERROR)
 def schema_error_SCHEMA_ATTRIBUTE_VALUE_DEPRECATED(tag, deprecated_suggestion, attribute_name):
-    return (f"Tag '{tag}' {attribute_name} uses '{deprecated_suggestion}' which has been deprecated " + \
-            f"and an alternative method of tagging should be used.")
+    return (f"Tag '{tag}' {attribute_name} uses '{deprecated_suggestion}' which has been deprecated " +
+            "and an alternative method of tagging should be used.")
 
 
 @hed_error(SchemaAttributeErrors.SCHEMA_GENERIC_ATTRIBUTE_VALUE_INVALID,

hed/schema/schema_io/df_util.py

@@ -182,4 +182,4 @@ def get_attributes_from_row(row):
     if constants.subclass_of in row.index and row[constants.subclass_of] == "HedHeader":
         header_attributes, _ = _parse_header_attributes_line(attr_string)
         return header_attributes
-    return parse_attribute_string(attr_string)
+    return parse_attribute_string(attr_string)

hed/schema/schema_io/ontology_util.py

@@ -163,7 +163,7 @@ def _verify_hedid_matches(section, df, unused_tag_ids):
                 if id_int not in unused_tag_ids:
                     hedid_errors += schema_util.format_error(
                         row_number, row, f"'{label}' has id {id_int} which is outside " +
-                        f"of the valid range for this type.  Valid range is: " +
+                        "of the valid range for this type.  Valid range is: " +
                         f"{min(unused_tag_ids)} to {max(unused_tag_ids)}")
                     continue
             except ValueError:

hed/tools/__init__.py

@@ -43,7 +43,7 @@
 from .util.hed_logger import HedLogger
 from .util.data_util import get_new_dataframe, get_value_dict, replace_values, reorder_columns
 from .util.io_util import check_filename, clean_filename, extract_suffix_path, get_file_list, make_path
-from .util.io_util import get_dir_dictionary, get_file_list, get_path_components, parse_bids_filename
+from .util.io_util import get_dir_dictionary, get_path_components, parse_bids_filename
 
 from .analysis.annotation_util import \
     check_df_columns, extract_tags, generate_sidecar_entry, get_bids_dataset, hed_to_df, df_to_hed, merge_hed_dict, \

hed/tools/analysis/annotation_util.py

@@ -103,7 +103,7 @@ def generate_sidecar_entry(column_name, column_values=None):
     name_label = re.sub(r'[^A-Za-z0-9-]+', '_', column_name)
     sidecar_entry = {"Description": f"Description for {column_name}", "HED": ""}
     if not column_values:
-        sidecar_entry["HED"] = f"(Label/{name_label}, Label/#)"
+        sidecar_entry["HED"] = f"(Label/{name_label}, ID/#)"
     else:
         levels = {}
         hed = {}
@@ -112,7 +112,7 @@ def generate_sidecar_entry(column_name, column_values=None):
                 continue
             value_label = re.sub(r'[^A-Za-z0-9-]+', '_', column_value)
             levels[column_value] = f"Here describe column value {column_value} of column {column_name}"
-            hed[column_value] = f"(Label/{name_label}, Label/{value_label})"
+            hed[column_value] = f"(Label/{name_label}, ID/{value_label})"
         sidecar_entry["Levels"] = levels
         sidecar_entry["HED"] = hed
     return sidecar_entry

hed/tools/remodeling/__init__.py

@@ -1,5 +1,5 @@
-""" Remodeling tools for revising and summarizing tabular files."""
-
-from .backup_manager import BackupManager
-from .dispatcher import Dispatcher
-from .remodeler_validator import RemodelerValidator
+""" Remodeling tools for revising and summarizing tabular files."""
+
+from .backup_manager import BackupManager
+from .dispatcher import Dispatcher
+from .remodeler_validator import RemodelerValidator

hed/tools/remodeling/cli/__init__.py

@@ -1 +1 @@
-""" Command-line interface for remodeling tools. """
+""" Command-line interface for remodeling tools. """

hed/tools/util/data_util.py

@@ -211,6 +211,7 @@ def make_info_dataframe(col_info, selected_col):
     df = pd.DataFrame(sorted(list(col_values)), columns=[selected_col])
     return df
 
+
 def replace_na(df):
     """ Replace (in place) the n/a with np.nan taking care of categorical columns.  """
     for column in df.columns:
@@ -221,6 +222,7 @@ def replace_na(df):
             df[column] = df[column].replace('n/a', np.nan)
             df[column] = pd.Categorical(df[column])
 
+
 def replace_values(df, values=None, replace_value='n/a', column_list=None):
     """ Replace string values in specified columns.
 

hed/tools/visualization/__init__.py

@@ -1,4 +1,3 @@
-""" Visualization tools for HED. """
-
-from .tag_word_cloud import create_wordcloud, word_cloud_to_svg
-
+""" Visualization tools for HED. """
+
+from .tag_word_cloud import create_wordcloud, word_cloud_to_svg

hed/validator/util/class_util.py

@@ -195,7 +195,7 @@ def _check_value_class(self, original_tag, stripped_value, report_as, error_code
         char_errors = {}
         for class_name in classes:
             char_errors[class_name] = self._get_problem_indices(stripped_value, class_name, start_index=start_index)
-            if class_valid[class_name] and not char_errors[class_name]: # We have found a valid class
+            if class_valid[class_name] and not char_errors[class_name]:  # We have found a valid class
                 return []
         index_adj = len(report_as.org_base_tag) - len(original_tag.org_base_tag)
         validation_issues = self.report_value_errors(char_errors, class_valid, report_as, index_adj)

spec_tests/test_errors.py

@@ -142,7 +142,7 @@ def _run_single_events_test(self, info, schema, def_dict, error_code, all_codes,
                 for row in test:
                     if not isinstance(row, list):
                         print(f"Improper grouping in test: {error_code}:{name}")
-                        print(f"This is probably a missing set of square brackets.")
+                        print("This is probably a missing set of square brackets.")
                         break
                     string += "\t".join(str(x) for x in row) + "\n"
 
@@ -169,7 +169,7 @@ def _run_single_combo_test(self, info, schema, def_dict, error_code, all_codes,
                         if not isinstance(row, list):
                             print(f"Improper grouping in test: {error_code}:{name}")
                             print(f"Improper data for test {name}: {test}")
-                            print(f"This is probably a missing set of square brackets.")
+                            print("This is probably a missing set of square brackets.")
                             break
                         string += "\t".join(str(x) for x in row) + "\n"
 
@@ -209,7 +209,7 @@ def test_errors(self):
         for test_file in self.test_files:
             self.run_single_test(test_file)
         # test_file = './temp.json'
-        self.run_single_test(test_file)
+        # self.run_single_test(test_file)
         print(f"{len(self.fail_count)} tests got an unexpected result")
         print("\n".join(self.fail_count))
         self.assertEqual(len(self.fail_count), 0)

tests/errors/test_error_reporter.py

@@ -176,7 +176,7 @@ def test_replace_tag_references(self):
         self.assertEqual(nested_list, ['Hed1', {'a': 2, 'b': [3, {'c': 'Hed2'}]}])
 
         # Test with mixed data types and HedString in a list within a dict
-        mixed = {'a': HedString('Hed1', self._schema), 
+        mixed = {'a': HedString('Hed1', self._schema),
                  'b': [2, 3, {'c': HedString('Hed2', self._schema)}, 4]}
         replace_tag_references(mixed)
         self.assertEqual(mixed, {'a': 'Hed1', 'b': [2, 3, {'c': 'Hed2'}, 4]})

tests/models/test_hed_string.py

@@ -8,7 +8,7 @@ class TestHedStrings(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
         cls.schema = load_schema_version("8.3.0")
-        
+
     def validator_scalar(self, test_strings, expected_results, test_function):
         for test_key in test_strings:
             test_result = test_function(test_strings[test_key])

tests/tools/analysis/test_annotation_util.py

@@ -205,12 +205,12 @@ def test_generate_sidecar_entry_non_letters(self):
         self.assertIn('HED', entry1,
                       "generate_sidecar_entry has a HED key when column values and special chars")
         hed_entry1 = entry1['HED']
-        self.assertEqual(hed_entry1['apple 1'], '(Label/my_-123_10, Label/apple_1)',
+        self.assertEqual(hed_entry1['apple 1'], '(Label/my_-123_10, ID/apple_1)',
                          "generate_sidecar_entry HED entry should convert labels correctly when column values")
         entry2 = annotation_util.generate_sidecar_entry('my !#$-123_10')
         self.assertIsInstance(entry2, dict,
                               "generate_sidecar_entry is a dictionary when no column values and special chars.")
-        self.assertEqual(entry2['HED'], '(Label/my_-123_10, Label/#)',
+        self.assertEqual(entry2['HED'], '(Label/my_-123_10, ID/#)',
                          "generate_sidecar_entry HED entry has correct label when no column values and special chars.")
 
     def test_hed_to_df(self):
@@ -295,27 +295,6 @@ def test_merge_hed_dict_full(self):
         annotation_util.merge_hed_dict(example_sidecar, spreadsheet_sidecar)
         self.assertEqual(6, len(example_sidecar), 'merge_hed_dict merges with the correct length')
 
-        def test_to_factor(self):
-            series1 = Series([1.0, 2.0, 3.0, 4.0])
-            factor1 = annotation_util.to_factor(series1)
-            self.assertEqual(len(series1), len(factor1))
-            self.assertEqual(sum(factor1), len(factor1))
-            series2 = Series(['a', '', None, np.nan, 'n/a'])
-            factor2 = annotation_util.to_factor(series2)
-            self.assertEqual(len(series2), len(factor2))
-            self.assertEqual(sum(factor2), 1)
-            data = {
-                'Name': ['Alice', '', 'n/a', 1.0],  # Contains a space
-                'Age': [25, np.nan, 35, 0]
-            }
-            df = DataFrame(data)
-            factor3 = annotation_util.to_factor(df, column='Name')
-            self.assertEqual(sum(factor3), 2)
-            factor4 = annotation_util.to_factor(df)
-            self.assertEqual(sum(factor4), 2)
-            with self.assertRaises(HedFileError):
-                annotation_util.to_factor(data)
-
     def test_series_to_factor(self):
         series1 = Series([1.0, 2.0, 3.0, 4.0])
         factor1 = annotation_util.series_to_factor(series1)

tests/tools/remodeling/operations/test_base_summary.py

@@ -28,7 +28,7 @@ def __init__(self, parameters):
 
     def do_op(self, dispatcher, df, name, sidecar=None):
         return df.copy()
-    
+
     @staticmethod
     def validate_input_data(parameters):
         return []

tests/tools/remodeling/operations/test_number_groups.py

@@ -151,9 +151,10 @@ def tearDownClass(cls):
 
     # test working
     def test_number_groups_new_column(self):
+        pass
         # Test when new column name is given with overwrite unspecified (=False)
-        parms = json.loads(self.json_parms)
-        op = NumberGroupsOp(parms)
+        # parms = json.loads(self.json_parms)
+        # op = NumberGroupsOp(parms)
     #     df = pd.DataFrame(self.sample_data, columns=self.sample_columns)
     #     df_check = pd.DataFrame(self.numbered_data, columns=self.numbered_columns)
     #     df_test = pd.DataFrame(self.sample_data, columns=self.sample_columns)

tests/validator/test_def_validator.py

@@ -230,7 +230,7 @@ def test_expand_def_tags_placeholder(self):
                                 expand_defs=False, shrink_defs=False,
                                 remove_definitions=False, basic_definition_string=self.placeholder_definition_string)
 
-        self.base_def_validator(basic_def_strings, basic_def_strings, 
+        self.base_def_validator(basic_def_strings, basic_def_strings,
                                 expand_defs=False, shrink_defs=True,
                                 remove_definitions=False, basic_definition_string=self.placeholder_definition_string)
 

tests/validator/test_tag_validator.py

@@ -503,8 +503,8 @@ def test_topLevelTagGroup_validation(self):
             'valid1': [],
             'valid2': [],
             'invalid2': self.format_error(
-                ValidationErrors.HED_TOP_LEVEL_TAG, tag=1, actual_error=
-                ValidationErrors.DEFINITION_INVALID) + self.format_error(ValidationErrors.HED_TOP_LEVEL_TAG, tag=1),
+                ValidationErrors.HED_TOP_LEVEL_TAG, tag=1, actual_error=ValidationErrors.DEFINITION_INVALID) + \
+            self.format_error(ValidationErrors.HED_TOP_LEVEL_TAG, tag=1),
             'invalidTwoInOne': self.format_error(ValidationErrors.HED_MULTIPLE_TOP_TAGS, tag=0,
                                                  multiple_tags="Definition/InvalidDef3".split(", ")),
             'invalid2TwoInOne': self.format_error(ValidationErrors.HED_MULTIPLE_TOP_TAGS, tag=0,
@@ -1045,7 +1045,7 @@ def test_special_units(self):
         expected_issues = {
             'ascii': [],
             'illegalTab': self.format_error(ValidationErrors.INVALID_VALUE_CLASS_CHARACTER, tag=0,
-                                          index_in_tag=13, index_in_tag_end=14, value_class="textClass"),
+                                            index_in_tag=13, index_in_tag_end=14, value_class="textClass"),
             'allowTab': []
         }
         self.validator_semantic(test_strings, expected_results, expected_issues, True)