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Move returns to single line for picky docsig
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docassemble/AssemblyLine/al_courts.py

Lines changed: 3 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -243,9 +243,7 @@ def all_courts(self) -> List[Tuple[int, str]]:
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Return a list of all courts in the spreadsheet.
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Returns:
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value).
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The dataframe_index (int) can be used with as_court() to retrieve the full court object.
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The display_value (str) is the court's name or other display column value.
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value). The dataframe_index (int) can be used with as_court() to retrieve the full court object. The display_value (str) is the court's name or other display column value.
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"""
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return self.filter_courts(None)
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@@ -349,9 +347,7 @@ def matching_courts_in_county(
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the search_string in a case-insensitive manner. Defaults to None.
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Returns:
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value).
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The dataframe_index (int) can be used with as_court() to retrieve the full court object.
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The display_value (str) is the court's name or other display column value.
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value). The dataframe_index (int) can be used with as_court() to retrieve the full court object. The display_value (str) is the court's name or other display column value.
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"""
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return self.filter_courts(
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court_types=county_name,
@@ -385,9 +381,7 @@ def filter_courts(
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the search_string in a case-insensitive manner. Defaults to None.
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Returns:
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value).
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The dataframe_index (int) can be used with as_court() to retrieve the full court object.
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The display_value (str) is the court's name or other display column value.
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List[Tuple[int, str]]: List of tuples where each tuple contains (dataframe_index, display_value). The dataframe_index (int) can be used with as_court() to retrieve the full court object. The display_value (str) is the court's name or other display column value.
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"""
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df = self._load_courts()
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if court_types:

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