dann halt nicht

src/kohlrahbi/ahbtable/ahbtable.py

@@ -91,7 +91,7 @@ def append_ahb_sub_table(self, ahb_sub_table: AhbSubTable) -> None:
  self.table = pd.concat([self.table, ahb_sub_table.table], ignore_index=True)
 
  @staticmethod
- def line_contains_only_segment_gruppe(raw_line: pd.Series[str]) -> bool:
+ def line_contains_only_segment_gruppe(raw_line: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Returns true if the given raw line only contains some meaningful data in the "Segment Gruppe" key
  """

src/kohlrahbi/ahbtable/ahbtablerow.py

@@ -46,7 +46,9 @@ def parse(
  dtype="str",
  )
  # pylint: disable=unsubscriptable-object, no-member
- empty_row: pd.Series[str] = pd.Series(len(ahb_row_dataframe.columns) * [""], index=self.seed.column_headers)
+ empty_row: pd.Series = pd.Series(
+ len(ahb_row_dataframe.columns) * [""], index=self.seed.column_headers
+ ) # type:ignore[type-arg]
 
  ahb_row_dataframe = pd.concat([ahb_row_dataframe, empty_row.to_frame().T], ignore_index=True)
 

src/kohlrahbi/changehistory/changehistorytable.py

@@ -54,7 +54,7 @@ def is_empty(val: str) -> bool:
  return pd.isna(val) or val == ""
 
  # Define a function to check if a value is considered empty for our case
- def is_the_first_column_empty(row: pd.Series[str]) -> bool:
+ def is_the_first_column_empty(row: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Checks if the first column of the given row is empty.
  This is our indicator if the current row is a continuation of the upper row.

src/kohlrahbi/unfoldedahb/unfoldedahbtable.py

@@ -236,7 +236,7 @@ def _get_section_name(segment_gruppe_or_section_name: str, last_section_name: st
  return last_section_name
 
  @staticmethod
- def _is_section_name(ahb_row: pd.Series[str]) -> bool:
+ def _is_section_name(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Checks if the current AHB row is a section name.
  It uses the same logic as the function 'line_contains_only_segment_gruppe'
@@ -245,15 +245,15 @@ def _is_section_name(ahb_row: pd.Series[str]) -> bool:
  return AhbTable.line_contains_only_segment_gruppe(ahb_row)
 
  @staticmethod
- def _is_segment_group(ahb_row: pd.Series[str]) -> bool:
+ def _is_segment_group(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """Checks if the current AHB row is a segment group."""
 
  if _segment_group_pattern.match(ahb_row["Segment Gruppe"]) and not ahb_row["Segment"]:
  return True
  return False
 
  @staticmethod
- def _is_segment_opening_line(ahb_row: pd.Series[str]) -> bool:
+ def _is_segment_opening_line(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """Checks if the current AHB row is a segment opening line.
  Example:
 
@@ -273,7 +273,7 @@ def _is_segment_opening_line(ahb_row: pd.Series[str]) -> bool:
  return False
 
  @staticmethod
- def _is_just_segment(ahb_row: pd.Series[str]) -> bool:
+ def _is_just_segment(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Checks if the given AHB row is a segment
  """
@@ -287,7 +287,7 @@ def _is_just_segment(ahb_row: pd.Series[str]) -> bool:
  return False
 
  @staticmethod
- def _is_dataelement(ahb_row: pd.Series[str]) -> bool:
+ def _is_dataelement(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Checks if the given AHB row is a dataelement
  """
@@ -296,12 +296,12 @@ def _is_dataelement(ahb_row: pd.Series[str]) -> bool:
  return False
 
  @staticmethod
- def _is_just_value_pool_entry(ahb_row: pd.Series[str]) -> bool:
+ def _is_just_value_pool_entry(ahb_row: pd.Series) -> bool: # type:ignore[type-arg]
  """
  Checks if the given AHB row contains only a value pool entry (w/o Segment (group) and data element)
  """
  return (
- (not ahb_row["Segment Gruppe"]) # type:ignore[return-value]
+ (not ahb_row["Segment Gruppe"])
  and (not ahb_row["Segment"])
  and (not ahb_row["Datenelement"])
  and ahb_row["Codes und Qualifier"]