
    \
qi                     &   d dl Z  e j        ddg          d             Z e j        ddg          d             Z e j        ddg          d             Z e j        dd	g          d
             Z e j        ddg          d             ZdS )    NTF)paramsc                     | j         S )z
    Fixture returning `True` or `False`, determining whether to check
    if the `dtype` is identical or not, when comparing two data structures,
    e.g. `Series`, `SparseArray` or `DataFrame`.
    paramrequests    z/var/www/html/bestrading.cuttalo.com/services/ml-inference/venv/lib/python3.11/site-packages/pandas/tests/util/conftest.pycheck_dtyper
      s     =    c                     | j         S )zx
    Fixture returning `True` or `False`, determining whether to
    compare floating point numbers exactly or not.
    r   r   s    r	   check_exactr           =r   c                     | j         S )zz
    Fixture returning `True` or `False`, determining whether to check
    if the `Index` types are identical or not.
    r   r   s    r	   check_index_typer      r   r   gMb@?gh㈵>c                     | j         S )zZ
    Fixture returning 0.5e-3 or 0.5e-5. Those values are used as relative tolerance.
    r   r   s    r	   rtolr       s    
 =r   c                     | j         S )zx
    Fixture returning `True` or `False`, determining whether to
    compare internal `Categorical` exactly or not.
    r   r   s    r	   check_categoricalr   (   r   r   )pytestfixturer
   r   r   r   r    r   r	   <module>r      s    e}%%%  &% e}%%%  &% e}%%%  &% '(((  )( e}%%%  &%  r   