code: def _concat_homogeneous_fastpath(
      mgrs_indexers, shape: Shape, first_dtype: np.dtype
  ) -> Block:
      """
      With single-Block managers with homogeneous dtypes (that can already hold nan),
      we avoid [...]
      """
      # assumes
      #  all(_is_homogeneous_mgr(mgr, first_dtype) for mgr, _ in in mgrs_indexers)
  
      if all(not indexers for _, indexers in mgrs_indexers):
          # https://github.com/pandas-dev/pandas/pull/52685#issuecomment-1523287739
          arrs = [mgr.blocks[0].values.T for mgr, _ in mgrs_indexers]
          arr = np.concatenate(arrs).T
          bp = libinternals.BlockPlacement(slice(shape[0]))
          nb = new_block_2d(arr, bp)
          return nb
  
      arr = np.empty(shape, dtype=first_dtype)
  
      if first_dtype == np.float64:
          take_func = libalgos.take_2d_axis0_float64_float64
      else:
          take_func = libalgos.take_2d_axis0_float32_float32
  
      start = 0
      for mgr, indexers in mgrs_indexers:
          mgr_len = mgr.shape[1]
          end = start + mgr_len
  
          if 0 in indexers:
              take_func(
                  mgr.blocks[0].values,
                  indexers[0],
                  arr[:, start:end],
              )
          else:
              # No reindexing necessary, we can copy values directly
              arr[:, start:end] = mgr.blocks[0].values
  
          start += mgr_len
  
      bp = libinternals.BlockPlacement(slice(shape[0]))
      nb = new_block_2d(arr, bp)
      return nb
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, cast
  import warnings
  import numpy
  from pandas._libs import NaT, algos, internals, lib
  from pandas._libs.missing import NA
  from pandas.util._decorators import cache_readonly
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.cast import ensure_dtype_can_hold_na, find_common_type
  from pandas.core.dtypes.common import is_1d_only_ea_dtype, is_scalar, needs_i8_conversion
  from pandas.core.dtypes.concat import concat_compat
  from pandas.core.dtypes.dtypes import ExtensionDtype, SparseDtype
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, isna_all
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.internals.array_manager import ArrayManager
  from pandas.core.internals.blocks import ensure_block_shape, new_block_2d
  from pandas.core.internals.managers import BlockManager, make_na_array
label_desc: Use image node_id 5 for calling a global function with example usage: _concat_homogeneous_fastpath(mgrs_indexers, shape, first_dtype) and returns: nb, nb