ó \ K]c@s¼ddlZddlZddlZddlZddlZddlmZdZdZdZ dZ d„Z d„Z d „Z d „Zd d „Zd „Zd„Zd„Zd„ZdS(iÿÿÿÿN(twrapss1.0.0s%valuess %file_paths%unpackcCst|ttƒ|S(s2 Method decorator to add unpack feature. (tsetattrt UNPACK_ATTRtTrue(tfunc((s0lib/python2.7/site-packages/numba/testing/ddt.pytunpackscs‡fd†}|S(s Method decorator to add to your test methods. Should be added to methods of instances of ``unittest.TestCase``. cst|tˆƒ|S(N(Rt DATA_ATTR(R(tvalues(s0lib/python2.7/site-packages/numba/testing/ddt.pytwrapper*s((RR((Rs0lib/python2.7/site-packages/numba/testing/ddt.pytdata#scs‡fd†}|S(sc Method decorator to add to your test methods. Should be added to methods of instances of ``unittest.TestCase``. ``value`` should be a path relative to the directory of the file containing the decorated ``unittest.TestCase``. The file should contain JSON encoded data, that can either be a list or a dict. In case of a list, each value in the list will correspond to one test case, and the value will be concatenated to the test method name. In case of a dict, keys will be used as suffixes to the name of the test case, and values will be fed as test data. cst|tˆƒ|S(N(Rt FILE_ATTR(R(tvalue(s0lib/python2.7/site-packages/numba/testing/ddt.pyRCs((R R((R s0lib/python2.7/site-packages/numba/testing/ddt.pyt file_data0scCsFtjdkrtjdks-tjdkoEtjjoEdtjkS(NiiitPYTHONHASHSEED(tsyst hexversiontflagsthash_randomizationtostenviron(((s0lib/python2.7/site-packages/numba/testing/ddt.pytis_hash_randomizedIs  icsÞtd ƒttttf‰yˆtf7‰Wntk r?nX‡‡fd†‰tƒr|ˆ|ƒ r|dj ||dƒSyt|ƒ}Wn#t k r±|j ddƒ}nXdj ||d|ƒ}t j dd|ƒS( sÜ Generate a new name for a test case. It will take the original test name and append an ordinal index and a string representation of the value, and convert the result into a valid python identifier by replacing extraneous characters with ``_``. If hash randomization is enabled (a feature available since 2.7.3/3.2.3 and enabled by default since 3.3) and a "non-trivial" value is passed this will omit the name argument by default. Set `PYTHONHASHSEED` to a fixed value before running tests in these cases to get the names back consistently or use the `__name__` attribute on data values. A "trivial" value is a plain scalar, or a tuple or list consisting only of trivial values. cs?t|ˆƒrtSt|ttfƒr;ttˆ|ƒƒStS(N(t isinstanceRtlistttupletalltmaptFalse(R (t is_trivialt trivial_types(s0lib/python2.7/site-packages/numba/testing/ddt.pyRvs s{0}_{1}itasciitbackslashreplaces {0}_{1}_{2}s \W|^(?=\d)t_N(ttypetNonetbooltstrtinttfloattunicodet NameErrorRtformattUnicodeEncodeErrortencodetretsub(tnameR tindext test_name((RRs0lib/python2.7/site-packages/numba/testing/ddt.pyt mk_test_nameQs   csptˆƒ‡‡‡fd†ƒ}||_ˆjrlyˆjjˆˆŽ|_Wqlttfk rhqlXn|S(sO This internal method decorator feeds the test data item to the test. csˆ|ˆˆŽS(N((tself(targsRtkwargs(s0lib/python2.7/site-packages/numba/testing/ddt.pyRs(Rt__name__t__doc__R(t IndexErrortKeyError(Rtnew_nameR2R3R((R2RR3s0lib/python2.7/site-packages/numba/testing/ddt.pyt feed_data‹s!  cOs#t||t||||ŽƒdS(s~ Add a test case to this class. The test will be based on an existing function but will give it a new name. N(RR9(tclsR/RR2R3((s0lib/python2.7/site-packages/numba/testing/ddt.pytadd_test sc s[tjjtj|ƒƒ}tjjtjj|ƒˆƒ}‡fd†}tjj|ƒtkrˆt |dƒ}t |||dƒnÏt j t|ƒjƒƒ}x±t|ƒD]£\} } t|tƒrñ| || } } t || | ƒ}n*t|tƒr| } t || | ƒ}nt| tƒr@t |||| q°t |||| ƒq°WdS(s> Process the parameter in the `file_data` decorator. cstdˆƒ‚dS(Ns%s does not exist(t ValueError(R2(t file_attr(s0lib/python2.7/site-packages/numba/testing/ddt.pyt _raise_ve³sterrorN(Rtpathtabspathtinspectt getsourcefiletjointdirnametexistsRR0R;R!tjsontloadstopentreadt enumerateRtdictR( R:R-RR=tcls_pathtdata_file_pathR>R/R titelemtkeyR ((R=s0lib/python2.7/site-packages/numba/testing/ddt.pytprocess_file_data«s"!cCs:x3t|jjƒƒD]\}}t|tƒrñx­tt|tƒƒD]–\}}t|t|d|ƒ|ƒ}t|tƒrÊt |t ƒsžt |tƒr´t ||||ŒqÝt ||||qGt ||||ƒqGWt ||ƒqt|t ƒrt|t ƒ}t||||ƒt ||ƒqqW|S(sÉ Class decorator for subclasses of ``unittest.TestCase``. Apply this decorator to the test case class, and then decorate test methods with ``@data``. For each method decorated with ``@data``, this will effectively create as many methods as data items are passed as parameters to ``@data``. The names of the test methods follow the pattern ``original_test_name_{ordinal}_{data}``. ``ordinal`` is the position of the data argument, starting with 1. For data we use a string representation of the data value converted into a valid python identifier. If ``data.__name__`` exists, we use that instead. For each method decorated with ``@file_data('test_data.json')``, the decorator will try to load the test_data.json file located relative to the python file containing the method that is decorated. It will, for each ``test_name`` key create as many methods in the list of values from the ``data`` key. R4(Rt__dict__titemsthasattrRRKtgetattrR0RRRR;tdelattrR RR(R:R-RROtvR/R=((s0lib/python2.7/site-packages/numba/testing/ddt.pytddtÈs""(RBRGRR+Rt functoolsRt __version__RR RRR R RR0R9R;RRRY(((s0lib/python2.7/site-packages/numba/testing/ddt.pyts$        :