Update readers.py

Author: huhu-dsy

pandas/io/parsers/readers.py

@@ -112,8 +112,7 @@ class _read_shared(TypedDict, Generic[HashableT], total=False):
         skipfooter: int
         nrows: int | None
         na_values: (
-            Hashable | Iterable[Hashable] | Mapping[Hashable,
-                                                    Iterable[Hashable]] | None
+            Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None
         )
         keep_default_na: bool
         na_filter: bool
@@ -578,10 +577,7 @@ class _Fwf_Defaults(TypedDict):
     widths: None
 
 
-_fwf_defaults: _Fwf_Defaults = {
-    "colspecs": "infer",
-    "infer_nrows": 100,
-    "widths": None}
+_fwf_defaults: _Fwf_Defaults = {"colspecs": "infer", "infer_nrows": 100, "widths": None}
 _c_unsupported = {"skipfooter"}
 _python_unsupported = {"low_memory", "float_precision"}
 _pyarrow_unsupported = {
@@ -612,10 +608,7 @@ def validate_integer(name: str, val: float, min_val: int = ...) -> int: ...
 
 
 @overload
-def validate_integer(
-    name: str,
-    val: int | None,
-    min_val: int = ...) -> int | None: ...
+def validate_integer(name: str, val: int | None, min_val: int = ...) -> int | None: ...
 
 
 def validate_integer(
@@ -669,9 +662,7 @@ def _validate_names(names: Sequence[Hashable] | None) -> None:
         if len(names) != len(set(names)):
             raise ValueError("Duplicate names are not allowed.")
         if not (
-            is_list_like(
-                names, allow_sets=False) or isinstance(
-                names, abc.KeysView)
+            is_list_like(names, allow_sets=False) or isinstance(names, abc.KeysView)
         ):
             raise ValueError("Names should be an ordered collection.")
 
@@ -790,8 +781,7 @@ def read_csv(
     nrows: int | None = None,
     # NA and Missing Data Handling
     na_values: (
-        Hashable | Iterable[Hashable] | Mapping[Hashable,
-                                                Iterable[Hashable]] | None
+        Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None
     ) = None,
     keep_default_na: bool = True,
     na_filter: bool = True,
@@ -1370,8 +1360,7 @@ def read_table(
     nrows: int | None = None,
     # NA and Missing Data Handling
     na_values: (
-        Hashable | Iterable[Hashable] | Mapping[Hashable,
-                                                Iterable[Hashable]] | None
+        Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None
     ) = None,
     keep_default_na: bool = True,
     na_filter: bool = True,
@@ -1985,8 +1974,7 @@ def read_fwf(
     if colspecs is None and widths is None:
         raise ValueError("Must specify either colspecs or widths")
     if colspecs not in (None, "infer") and widths is not None:
-        raise ValueError(
-            "You must specify only one of 'widths' and 'colspecs'")
+        raise ValueError("You must specify only one of 'widths' and 'colspecs'")
 
     # Compute 'colspecs' from 'widths', if specified.
     if widths is not None:
@@ -2016,11 +2004,9 @@ def read_fwf(
                         assert index_col is not lib.no_default
 
                         len_index = len(index_col)
-            if kwds.get("usecols") is None and len(
-                    names) + len_index != len(colspecs):
+            if kwds.get("usecols") is None and len(names) + len_index != len(colspecs):
                 # If usecols is used colspec may be longer than names
-                raise ValueError(
-                    "Length of colspecs must match length of names")
+                raise ValueError("Length of colspecs must match length of names")
 
     check_dtype_backend(kwds.setdefault("dtype_backend", lib.no_default))
     return _read(
@@ -2112,8 +2098,7 @@ def _get_options_with_defaults(self, engine: CSVEngine) -> dict[str, Any]:
                 and value != getattr(value, "value", default)
             ):
                 raise ValueError(
-                    f"The {
-                        argname!r} option is not supported with the 'pyarrow' engine"
+                    f"The {argname!r} option is not supported with the 'pyarrow' engine"
                 )
             options[argname] = value
 
@@ -2129,8 +2114,7 @@ def _get_options_with_defaults(self, engine: CSVEngine) -> dict[str, Any]:
                         pass
                     else:
                         raise ValueError(
-                            f"The {
-                                argname!r} option is not supported with the "
+                            f"The {argname!r} option is not supported with the "
                             f"{engine!r} engine"
                         )
             else:
@@ -2231,8 +2215,7 @@ def _clean_options(
 
         if "python" in engine:
             for arg in _python_unsupported:
-                if fallback_reason and result[arg] != _c_parser_defaults.get(
-                        arg):
+                if fallback_reason and result[arg] != _c_parser_defaults.get(arg):
                     raise ValueError(
                         "Falling back to the 'python' engine because "
                         f"{fallback_reason}, but this causes {arg!r} to be "
@@ -2331,8 +2314,7 @@ def _make_engine(
 
         if engine not in mapping:
             raise ValueError(
-                f"Unknown engine: {engine} (valid options are {
-                    mapping.keys()})"
+                f"Unknown engine: {engine} (valid options are {mapping.keys()})"
             )
         if not isinstance(f, list):
             # open file here
@@ -2436,8 +2418,7 @@ def read(self, nrows: int | None = None) -> DataFrame:
                         if pandas_dtype(dtype[k]) in (np.str_, np.object_)
                         else None
                     )
-                    new_col_dict[k] = Series(
-                        v, index=index, dtype=d, copy=False)
+                    new_col_dict[k] = Series(v, index=index, dtype=d, copy=False)
             else:
                 new_col_dict = col_dict
 
@@ -2528,8 +2509,7 @@ def TextParser(*args, **kwds) -> TextFileReader:
     return TextFileReader(*args, **kwds)
 
 
-def _clean_na_values(na_values, keep_default_na: bool = True,
-                     floatify: bool = True):
+def _clean_na_values(na_values, keep_default_na: bool = True, floatify: bool = True):
     na_fvalues: set | dict
     if na_values is None:
         if keep_default_na:
@@ -2669,8 +2649,7 @@ def _refine_defaults_read(
         )
 
     if delimiter and (sep is not lib.no_default):
-        raise ValueError(
-            "Specified a sep and a delimiter; you can only specify one.")
+        raise ValueError("Specified a sep and a delimiter; you can only specify one.")
 
     kwds["names"] = None if names is lib.no_default else names
 
@@ -2711,8 +2690,7 @@ def _refine_defaults_read(
             )
         kwds["on_bad_lines"] = on_bad_lines
     else:
-        raise ValueError(
-            f"Argument {on_bad_lines} is invalid for on_bad_lines")
+        raise ValueError(f"Argument {on_bad_lines} is invalid for on_bad_lines")
 
     check_dtype_backend(dtype_backend)