Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd # Create a list of data data = [["Alice", 25], ["Bob", 30], ["Carol", 35]] # Create a Pandas DataFrame from the list of data df = pd.DataFrame(data, columns=["Name", "Age"]) # Print the DataFrame print(df)

Issue Description

The simplest test on a dataframe object is failing on an embedded 32bit device with ARMv7 CPU. No matter how the dataframe is created, from an array or read from a csv file using read_csv, access on the object fails the same:

File "pandas/_libs/internals.pyx", line 711, in pandas._libs.internals.BlockManager._rebuild_blknos_and_blklocs
ValueError: Buffer dtype mismatch, expected 'intp_t' but got 'long long'

Unfortunately, on that platform I cannot compile a newer version of pandas, so I cannot verify if the issue is present in the latest version or main branch.

Expected Behavior

The expected output is:
Name Age
0 Alice 25
1 Bob 30
2 Carol 35

but running the script is giving:
File "/home/root/test.py", line 10, in
print(df)
File "/usr/lib/python3.10/site-packages/pandas/core/frame.py", line 1011, in repr
return self.to_string(**repr_params)
File "/usr/lib/python3.10/site-packages/pandas/core/frame.py", line 1192, in to_string
return fmt.DataFrameRenderer(formatter).to_string(
File "/usr/lib/python3.10/site-packages/pandas/io/formats/format.py", line 1128, in to_string
string = string_formatter.to_string()
File "/usr/lib/python3.10/site-packages/pandas/io/formats/string.py", line 25, in to_string
text = self._get_string_representation()
File "/usr/lib/python3.10/site-packages/pandas/io/formats/string.py", line 40, in _get_string_representation
strcols = self._get_strcols()
File "/usr/lib/python3.10/site-packages/pandas/io/formats/string.py", line 31, in _get_strcols
strcols = self.fmt.get_strcols()
File "/usr/lib/python3.10/site-packages/pandas/io/formats/format.py", line 611, in get_strcols
strcols = self._get_strcols_without_index()
File "/usr/lib/python3.10/site-packages/pandas/io/formats/format.py", line 864, in _get_strcols_without_index
str_columns = self._get_formatted_column_labels(self.tr_frame)
File "/usr/lib/python3.10/site-packages/pandas/io/formats/format.py", line 943, in _get_formatted_column_labels
dtypes = self.frame.dtypes
File "/usr/lib/python3.10/site-packages/pandas/core/generic.py", line 5746, in dtypes
data = self._mgr.get_dtypes()
File "/usr/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 228, in get_dtypes
return dtypes.take(self.blknos)
File "/usr/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 168, in blknos
self._rebuild_blknos_and_blklocs()
File "pandas/_libs/internals.pyx", line 711, in pandas._libs.internals.BlockManager._rebuild_blknos_and_blklocs
ValueError: Buffer dtype mismatch, expected 'intp_t' but got 'long long'

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