U
    Mf(                     @   sT  d dl Z d dlmZ d dlZd dlmZmZmZ d dlm	Z
 dd Zdd Zdd	 Ze jd
edededgdd Ze jdededdfededfededfededfededfgdd Ze jdddiddddgiddigdd  Ze jdd!d"ge jdd#dd$ge jd%d dddd&d'gd(d) Ze jd*ed+d,gddgd-ed+d,gd.d/gd-d0fejddgd1d2gd+d,gd3d4d5gd-jejd.d/gd1d2gd+d,gd3d4d5gd-jd6fgd7d8 Zd9d: Zd;d< Zd=d> Zd?d@ ZdAdB ZdCdD ZdEdF ZdGdH Z dIdJ Z!e jdKdLdMgdNdO Z"dPdQ Z#dRdS Z$dS )T    N)is_extension_array_dtype)Categorical	DataFrameSeriesc                 K   s$   t j| |f| t j|| f| dS )a&  
    Check that two Series equal.

    This check is performed commutatively.

    Parameters
    ----------
    a : Series
        The first Series to compare.
    b : Series
        The second Series to compare.
    kwargs : dict
        The arguments passed to `tm.assert_series_equal`.
    N)tmassert_series_equalabkwargs r   N/tmp/pip-unpacked-wheel-eb6vo0j3/pandas/tests/util/test_assert_series_equal.py_assert_series_equal_both   s    r   c                 K   s>   z$t j| |f| d}tj|d W n tk
r8   Y nX dS )a  
    Check that two Series are not equal.

    Parameters
    ----------
    a : Series
        The first Series to compare.
    b : Series
        The second Series to compare.
    kwargs : dict
        The arguments passed to `tm.assert_series_equal`.
    z7The two Series were equal when they shouldn't have been)msgN)r   r   pytestZfailAssertionError)r	   r
   r   r   r   r   r   _assert_not_series_equal!   s    r   c                 K   s    t | |f| t || f| dS )a.  
    Check that two Series are not equal.

    This check is performed commutatively.

    Parameters
    ----------
    a : Series
        The first Series to compare.
    b : Series
        The second Series to compare.
    kwargs : dict
        The arguments passed to `tm.assert_series_equal`.
    N)r   r   r   r   r   _assert_not_series_equal_both7   s    r   data   abcu   áàäc                 C   s   t t| t|  d S N)r   r   )r   r   r   r   test_series_equalJ   s    r   zdata1,data2      Zxyzu   éèës   aaac                 C   s   t t| t| d S r   )r   r   )data1data2r   r   r   $test_series_not_equal_value_mismatchO   s    r   r   dtypeZfloat64index   nameZfooc                 C   s*   t d}t|}t|f| }t|| d S )Nr   )ranger   r   )r   r   s1s2r   r   r   'test_series_not_equal_metadata_mismatch]   s    	r%   )g|Pk?g9]?)gV-?g??Zfloat32ZFloat32decimals   
   c              	   C   s   d|  }t | g|d}t |g|d}|dksN|dksN|dkrt| | dkrt|r\d}nd}tjt|d tj|||d	 W 5 Q R X nt|||d	 d S )
Nr(   r   r'   r   gMb@?zExtensionArray are differentzSeries values are differentmatchrtol)	r   absr   r   raisesr   r   r   r   )r   r   r   r&   r-   r#   r$   r   r   r   r   test_less_precisem   s    
r0   z	s1,s2,msgl1l2)r   g      ?g       @zSeries\.index are differentg @g      ?)r	   r
   cr	   r
   z$MultiIndex level \[0\] are differentc              	   C   sL   d|i}|r8t jt|d tj| |f| W 5 Q R X ntj| |f| d S )Ncheck_index_typer*   )r   r/   r   r   r   )r#   r$   r   r4   r   r   r   r   test_series_equal_index_dtype   s
    r5   c              	   C   sP   d}t dddg}t ddddg}tjt|d tj||| d W 5 Q R X d S )NzSeries are different

Series length are different
\[left\]:  3, RangeIndex\(start=0, stop=3, step=1\)
\[right\]: 4, RangeIndex\(start=0, stop=4, step=1\)r   r    r   r   r*   r,   r   r   r/   r   r   r   r-   r   r#   r$   r   r   r   !test_series_equal_length_mismatch   s
    r8   c              	   C   sN   d}t dddg}t dddg}tjt|d tj||| d W 5 Q R X d S )NzSeries are different

Series values are different \(33\.33333 %\)
\[index\]: \[0, 1, 2\]
\[left\]:  \[1, 2, 3\]
\[right\]: \[1, 2, 4\]r   r    r   r   r*   r,   r6   r7   r   r   r   )test_series_equal_numeric_values_mismatch   s
    r9   c              	   C   sV   d}t tdddg}t tdddg}tjt|d tj||| d W 5 Q R X d S )NzSeries are different

Series values are different \(66\.66667 %\)
\[index\]: \[0, 1, 2\]
\[left\]:  \['a', 'b', 'c'\]
Categories \(3, object\): \['a', 'b', 'c'\]
\[right\]: \['a', 'c', 'b'\]
Categories \(3, object\): \['a', 'b', 'c'\]r	   r
   r3   r*   r,   )r   r   r   r/   r   r   r   r7   r   r   r   -test_series_equal_categorical_values_mismatch   s
    	r:   c              	   C   sZ   d}t tjdddd}t tjdddd}tjt|d tj||| d W 5 Q R X d S )	Nznumpy array are different

numpy array values are different \(100.0 %\)
\[index\]: \[0, 1, 2\]
\[left\]:  \[1514764800000000000, 1514851200000000000, 1514937600000000000\]
\[right\]: \[1549065600000000000, 1549152000000000000, 1549238400000000000\]z
2018-01-01r   D)Zperiodsfreqz
2019-02-02r*   r,   )r   pdZ
date_ranger   r/   r   r   r   r7   r   r   r   *test_series_equal_datetime_values_mismatch   s
    r>   c              	   C   sn   d}t tddg}t tddgtdd}| r\tjt|d tj||| d W 5 Q R X nt||| d d S )NzAttributes of Series are different

Attribute "dtype" are different
\[left\]:  CategoricalDtype\(categories=\['a', 'b'\], ordered=False\)
\[right\]: CategoricalDtype\(categories=\['a', 'b', 'c'\], ordered=False\)r	   r
   r   )
categoriesr*   )check_categorical)	r   r   listr   r/   r   r   r   r   )r@   r   r#   r$   r   r   r   &test_series_equal_categorical_mismatch   s    rB   c               	   C   sd   t tjdddgdd} | t}d}tj| |dd tjt	|d	 tj| |d
d W 5 Q R X d S )Nr   r    r   Int64r)   zjAttributes of Series are different

Attribute "dtype" are different
\[left\]:  Int64
\[right\]: int[32|64]FZcheck_dtyper*   T)
r   r=   arrayastypeintr   r   r   r/   r   leftrightr   r   r   r   1test_assert_series_equal_extension_dtype_mismatch   s    
rK   c               	   C   sb   t tddgdd} | t}d}tj| |dd tjt	|d tj| |d	d W 5 Q R X d S )
Nr   r   intervalr)   zyAttributes of Series are different

Attribute "dtype" are different
\[left\]:  interval\[int64, right\]
\[right\]: objectFrD   r*   T)
r   r=   ZIntervalrF   objectr   r   r   r/   r   rH   r   r   r   0test_assert_series_equal_interval_dtype_mismatch  s    
rN   c               	   C   s   G dd dt } t ddg}t ddg}| ddg}tj||dd tj||dd tj||dd tj||dd tjtdd	 tj||dd W 5 Q R X tjtdd	 tj||dd W 5 Q R X d S )
Nc                   @   s   e Zd ZdS )z/test_series_equal_series_type.<locals>.MySeriesN)__name__
__module____qualname__r   r   r   r   MySeries  s   rR   r   r    F)Zcheck_series_typeTzSeries classes are differentr*   r   r   r   r   r/   r   )rR   r#   r$   s3r   r   r   test_series_equal_series_type  s    rU   c               	   C   s   t ddg} t ddg}t ddg}tj| |dd tj|| dd d}tjt|d tj| |dd W 5 Q R X d}tjt|d tj|| dd W 5 Q R X d S )Nr	   r
   T)Zcheck_exactzzSeries are different

Series values are different \(100\.0 %\)
\[index\]: \[0, 1\]
\[left\]:  \[a, b\]
\[right\]: \[b, a\]r*   zzSeries are different

Series values are different \(100\.0 %\)
\[index\]: \[0, 1\]
\[left\]:  \[b, a\]
\[right\]: \[a, b\]rS   )r#   r$   rT   r   r   r   r   &test_series_equal_exact_for_nonnumeric'  s    rV   right_dtypeZInt32Zint64c                 C   s8   t dddgdd}t dddg| d}tj||dd d S )Nr   r    r   rC   r)   FrD   )r   r   r   )rW   rI   rJ   r   r   r   8test_assert_series_equal_ignore_extension_dtype_mismatchC  s    rX   c               	   C   s   t dg} t dgjdd}t| |  t|| tj| |dd tj|| dd tjtdd t| | W 5 Q R X tjtdd t| | W 5 Q R X d S )Nr   F)Zallows_duplicate_labels)Zcheck_flagsz<Flagsr*   )r   Z	set_flagsr   r   r   r/   r   )rI   rJ   r   r   r   test_allows_duplicate_labelsK  s    
rY   c                 C   s<   t | g}t||  t|}t||jdd d S )NT)deep)r   r   r   copyr=   ZIndexZassert_index_equal)Znulls_fixtureZseridxr   r   r   %test_assert_series_equal_identical_naZ  s    

r]   )%r   Zpandas.core.dtypes.commonr   Zpandasr=   r   r   r   Zpandas._testingZ_testingr   r   r   r   markZparametrizer"   rA   r   r   r%   r0   Zfrom_recordsr3   r5   r8   r9   r:   r>   rB   rK   rN   rU   rV   rX   rY   r]   r   r   r   r   <module>   s~   



  


