code: def _construct_series_with_fallbacks(
      constructor: Callable[[str, Sequence[Any], bool], PySeries],
      name: str,
      values: Sequence[Any],
      target_dtype: PolarsDataType | None,
      *,
      strict: bool,
  ) -> PySeries:
      """Construct Series, with fallbacks for basic type mismatch (eg: bool/int)."""
      while True:
          try:
              return constructor(name, values, strict)
          except TypeError as exc:
              str_exc = str(exc)
  
              # from x to float
              # error message can be:
              #   - integers: "'float' object cannot be interpreted as an integer"
              if "'float'" in str_exc and (
                  # we do not accept float values as int/temporal, as it causes silent
                  # information loss; the caller should explicitly cast in this case.
                  target_dtype
                  not in (INTEGER_DTYPES | TEMPORAL_DTYPES)
              ):
                  constructor = py_type_to_constructor(float)
  
              # from x to string
              # error message can be:
              #   - integers: "'str' object cannot be interpreted as an integer"
              #   - floats: "must be real number, not str"
              elif (
                  "'str'" in str_exc
                  or str_exc == "must be real number, not str"
              ):
                  constructor = py_type_to_constructor(str)
  
              # from x to int
              # error message can be:
              #   - bools: "'int' object cannot be converted to 'PyBool'"
              elif (
                  str_exc
                  == "'int' object cannot be converted to 'PyBool'"
              ):
                  constructor = py_type_to_constructor(int)
  
              elif "decimal.Decimal" in str_exc:
                  constructor = py_type_to_constructor(PyDecimal)
              else:
                  raise
  
imports: from __future__ import annotations
  import contextlib
  import warnings
  from datetime import date, datetime, time, timedelta
  from decimal import Decimal
  from functools import lru_cache, singledispatch
  from itertools import islice, zip_longest
  from operator import itemgetter
  from sys import version_info
  from typing import TYPE_CHECKING, Any, Callable, Generator, Iterable, Iterator, Mapping, MutableMapping, Sequence, get_type_hints
  import polars._reexport
  from polars import functions
  from polars.datatypes import INTEGER_DTYPES, N_INFER_DEFAULT, TEMPORAL_DTYPES, Boolean, Categorical, Date, Datetime, Duration, Enum, List, Null, Object, String, Struct, Time, UInt32, Unknown, dtype_to_py_type, is_polars_dtype, numpy_char_code_to_dtype, py_type_to_dtype
  from polars.datatypes.constructor import numpy_type_to_constructor, numpy_values_and_dtype, polars_type_to_constructor, py_type_to_constructor
  from polars.dependencies import _NUMPY_AVAILABLE, _check_for_numpy, _check_for_pandas, _check_for_pydantic, dataclasses, pydantic
  from polars.dependencies import numpy
  from polars.dependencies import pandas
  from polars.dependencies import pyarrow
  from polars.exceptions import ComputeError, ShapeError, TimeZoneAwareConstructorWarning
  from polars.utils._wrap import wrap_df, wrap_s
  from polars.utils.meta import get_index_type, threadpool_size
  from polars.utils.various import _is_generator, arrlen, find_stacklevel, parse_version, range_to_series
label_desc: Use image node_id 14 for calling a global function with example usage: _construct_series_with_fallbacks(constructor, name, values, target_dtype) and returns: constructor