code: def test_dtype_all_columns(all_parsers, dtype, check_orig):
      # see gh-3795, gh-6607
      parser = all_parsers
  
      df = DataFrame(
          np.random.default_rng(2).random((5, 2)).round(4),
          columns=list("AB"),
          index=["1A", "1B", "1C", "1D", "1E"],
      )
  
      with tm.ensure_clean("__passing_str_as_dtype__.csv") as path:
          df.to_csv(path)
  
          result = parser.read_csv(path, dtype=dtype, index_col=0)
  
          if check_orig:
              expected = df.copy()
              result = result.astype(float)
          else:
              expected = df.astype(str)
  
          tm.assert_frame_equal(result, expected)
  
imports: from collections import defaultdict
  from io import StringIO
  import numpy
  import pytest
  from pandas.errors import ParserWarning
  import pandas
  from pandas import DataFrame, Timestamp
  import pandas._testing
  from pandas.core.arrays import ArrowStringArray, IntegerArray, StringArray
label_desc: Use image node_id 1 for calling a global function with example usage: test_dtype_all_columns(all_parsers, dtype, check_orig) without return types