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B �5�g�, � @ s" d dl mZ d dlZd dlmZ d dlZd dlmZmZ d dl Z d dl m Z m Z d dl mZmZ d dlZd dlmZ d dlmZ d d lmZ d Ze� Zd Zd Zd d� Z dd� Z e ded deefdd��Z e Z d'dd�Z d(dddd�dd�Z!d)d d �d d �Z"d*d d �d d!�Z#d+d#d$�Z$d,d%d&�Z%dS )-� )� annotationsN)�wraps)�Any�Callable)�FilePathOrBuffer� FrameOrSeries)� get_lzma_file� import_lzma)�rands)� ensure_clean)�urlopenF) z timed outz Server Hangupz#HTTP Error 503: Service Unavailablez502: Proxy Errorz HTTP Error 502: internal errorzHTTP Error 502zHTTP Error 503zHTTP Error 403zHTTP Error 400z$Temporary failure in name resolutionzName or service not knownzConnection refusedzcertificate verify)�e �o �n �h �6 �< c C s dd l } t| jjtfS )Nr )� http.client�IOError�client� HTTPException� TimeoutError)�http� r �I/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/_testing/_io.py�_get_default_network_errorsE s r c s t � �� fdd��}|S )aB allows a decorator to take optional positional and keyword arguments. Assumes that taking a single, callable, positional argument means that it is decorating a function, i.e. something like this:: @my_decorator def function(): pass Calls decorator with decorator(f, *args, **kwargs) c sN � ��fdd�}� o,t � �dko,t� d �}|rF� d }d� ||�S |S d S )Nc s �| f� ���S )Nr )�f)�args� decorator�kwargsr r �decZ s z+optional_args.<locals>.wrapper.<locals>.dec� r r )�len�callable)r r r Z is_decoratingr )r )r r r �wrapperX s z optional_args.<locals>.wrapper)r )r r$ r )r r � optional_argsL s r% zhttps://www.google.comc sF ddl m� �dkrt� �d�_t��� �������fdd��}|S )a\ Label a test as requiring network connection and, if an error is encountered, only raise if it does not find a network connection. In comparison to ``network``, this assumes an added contract to your test: you must assert that, under normal conditions, your test will ONLY fail if it does not have network connectivity. You can call this in 3 ways: as a standard decorator, with keyword arguments, or with a positional argument that is the url to check. Parameters ---------- t : callable The test requiring network connectivity. url : path The url to test via ``pandas.io.common.urlopen`` to check for connectivity. Defaults to 'https://www.google.com'. raise_on_error : bool If True, never catches errors. check_before_test : bool If True, checks connectivity before running the test case. error_classes : tuple or Exception error classes to ignore. If not in ``error_classes``, raises the error. defaults to IOError. Be careful about changing the error classes here. skip_errnos : iterable of int Any exception that has .errno or .reason.erno set to one of these values will be skipped with an appropriate message. _skip_on_messages: iterable of string any exception e for which one of the strings is a substring of str(e) will be skipped with an appropriate message. Intended to suppress errors where an errno isn't available. Notes ----- * ``raise_on_error`` supersedes ``check_before_test`` Returns ------- t : callable The decorated test ``t``, with checks for connectivity errors. Example ------- Tests decorated with @network will fail if it's possible to make a network connection to another URL (defaults to google.com):: >>> from pandas._testing import network >>> from pandas.io.common import urlopen >>> @network ... def test_network(): ... with urlopen("rabbit://bonanza.com"): ... pass Traceback ... URLError: <urlopen error unknown url type: rabit> You can specify alternative URLs:: >>> @network("https://www.yahoo.com") ... def test_something_with_yahoo(): ... raise IOError("Failure Message") >>> test_something_with_yahoo() Traceback (most recent call last): ... IOError: Failure Message If you set check_before_test, it will check the url first and not run the test on failure:: >>> @network("failing://url.blaher", check_before_test=True) ... def test_something(): ... print("I ran!") ... raise ValueError("Failure") >>> test_something() Traceback (most recent call last): ... Errors not related to networking will always be raised. r )�skipNTc s� �r�st ���s�� y �| |�S tk r� } z�t|dd �}|s\t|d�r\t|jdd �}|�krr�d|� �� t|�� t� fdd��D ��r��d|� �� t|��s�� �s�t ���r�� n�d|� �� W d d }~X Y nX d S )N�errno�reasonz+Skipping test due to known errno and error c 3 s | ]}|� � � � � kV qd S )N)�lower)�.0�m)�e_strr r � <genexpr>� s z+network.<locals>.wrapper.<locals>.<genexpr>z;Skipping test because exception message is known and error z4Skipping test due to lack of connectivity and error )� can_connect� Exception�getattr�hasattrr( �str�any� isinstance)r r �errr' )�_skip_on_messages�check_before_test� error_classes�raise_on_errorr& � skip_errnos�t�url)r, r r$ � s* znetwork.<locals>.wrapper)�pytestr& r �networkr )r; r< r9 r7 r8 r: r6 r$ r )r6 r7 r8 r9 r& r: r; r< r r> h s \ ""r> c C sD |dkrt � }yt| �� W dQ R X W n |k r: dS X dS dS )a@ Try to connect to the given url. True if succeeds, False if IOError raised Parameters ---------- url : basestring The URL to try to connect to Returns ------- connectable : bool Return True if no IOError (unable to connect) or URLError (bad url) was raised NFT)r r )r< r8 r r r r. � s r. r zFilePathOrBuffer | Noner )�obj�path�returnc C sF |}|dkr dt d�� d�}t|��}t�| |� t�|�S Q R X dS )a� Pickle an object and then read it again. Parameters ---------- obj : any object The object to pickle and then re-read. path : str, path object or file-like object, default None The path where the pickled object is written and then read. Returns ------- pandas object The original object that was pickled and then re-read. N�__� z __.pickle)r r �pdZ to_pickleZ read_pickle)r? r@ �_pathZ temp_pathr r r �round_trip_pickle s rF z str | None)r@ c C sP ddl }|�d�j}|dkr d}t|�� }| ||�� |||��}W dQ R X |S )a� Write an object to file specified by a pathlib.Path and read it back Parameters ---------- writer : callable bound to pandas object IO writing function (e.g. DataFrame.to_csv ) reader : callable IO reading function (e.g. pd.read_csv ) path : str, default None The path where the object is written and then read. Returns ------- pandas object The original object that was serialized and then re-read. r N�pathlibZ ___pathlib___)r= � importorskip�Pathr )�writer�readerr@ r= rI r? r r r �round_trip_pathlib+ s rL c C sP ddl }|�d�j}|dkr d}t|�� }| ||�� |||��}W dQ R X |S )a� Write an object to file specified by a py.path LocalPath and read it back. Parameters ---------- writer : callable bound to pandas object IO writing function (e.g. DataFrame.to_csv ) reader : callable IO reading function (e.g. pd.read_csv ) path : str, default None The path where the object is written and then read. Returns ------- pandas object The original object that was serialized and then re-read. r Nzpy.pathZ___localpath___)r= rH �localr )rJ rK r@ r= Z LocalPathr? r r r �round_trip_localpathH s rN �testc C s� |f}d}d}| dkr.t j}d}||f}d}n@| dkr>tj}n0| dkrNtj}n | dkr`tt�}ntd | � ���|||d ��}t ||�|� W d Q R X d S ) a� Write data to a compressed file. Parameters ---------- compression : {'gzip', 'bz2', 'zip', 'xz'} The compression type to use. path : str The file path to write the data. data : str The data to write. dest : str, default "test" The destination file (for ZIP only) Raises ------ ValueError : An invalid compression value was passed in. �wb�write�zip�w�writestr�gzip�bz2�xzz Unrecognized compression type: )�modeN) �zipfile�ZipFilerU �GzipFilerV �BZ2Filer �lzma� ValueErrorr0 ) � compressionr@ �data�destr rX �methodZcompress_methodr r r r �write_to_compressede s" rc c C s> ddl m}m} | d kr2x |� D ] } || � q W n|| � d S )Nr )�close� get_fignums)Zmatplotlib.pyplotrd re )Zfignum�_closere r r r rd � s rd )N)N)N)N)rO )N)&� __future__r rV � functoolsr rU �typingr r rY Zpandas._typingr r Z pandas.compatr r ZpandasrD Zpandas._testing._randomr Zpandas._testing.contextsr Zpandas.io.commonr Z _RAISE_NETWORK_ERROR_DEFAULTr] Z_network_error_messagesZ_network_errno_valsr r% r> Zwith_connectivity_checkr. rF rL rN rc rd r r r r �<module> s@ .
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