poetry add -D pytest_cases

poetry.lock

@@ -94,6 +94,14 @@ version = "0.10.0"
 [package.dependencies]
 six = "*"
 
+[[package]]
+category = "dev"
+description = "Better living through Python with decorators"
+name = "decorator"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*"
+version = "4.3.2"
+
 [[package]]
 category = "dev"
 description = "Delayed/soft assertions for python"
@@ -268,6 +276,17 @@ py = ">=1.5.0"
 setuptools = "*"
 six = ">=1.10.0"
 
+[[package]]
+category = "dev"
+description = "Separate test code from test cases in pytest."
+name = "pytest-cases"
+optional = false
+python-versions = "*"
+version = "1.2.2"
+
+[package.dependencies]
+decorator = "*"
+
 [[package]]
 category = "dev"
 description = "Pytest plugin for measuring coverage."
@@ -350,7 +369,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4"
 version = "1.24.1"
 
 [metadata]
-content-hash = "5f805ebc68759139df36aae10a903fd9d347b2f23248eb32182c5b48b48e2a1c"
+content-hash = "ba2ed55facdab2c93972f4a3cbf732de4ed2b709eb376a204ab563aa0d264272"
 python-versions = "^3.6"
 
 [metadata.hashes]
@@ -365,6 +384,7 @@ codecov = ["8ed8b7c6791010d359baed66f84f061bba5bd41174bf324c31311e8737602788", "
 colorama = ["05eed71e2e327246ad6b38c540c4a3117230b19679b875190486ddd2d721422d", "f8ac84de7840f5b9c4e3347b3c1eaa50f7e49c2b07596221daec5edaabbd7c48"]
 coverage = ["06123b58a1410873e22134ca2d88bd36680479fe354955b3579fb8ff150e4d27", "09e47c529ff77bf042ecfe858fb55c3e3eb97aac2c87f0349ab5a7efd6b3939f", "0a1f9b0eb3aa15c990c328535655847b3420231af299386cfe5efc98f9c250fe", "0cc941b37b8c2ececfed341444a456912e740ecf515d560de58b9a76562d966d", "0d34245f824cc3140150ab7848d08b7e2ba67ada959d77619c986f2062e1f0e8", "10e8af18d1315de936d67775d3a814cc81d0747a1a0312d84e27ae5610e313b0", "1b4276550b86caa60606bd3572b52769860a81a70754a54acc8ba789ce74d607", "1e8a2627c48266c7b813975335cfdea58c706fe36f607c97d9392e61502dc79d", "258b21c5cafb0c3768861a6df3ab0cfb4d8b495eee5ec660e16f928bf7385390", "2b224052bfd801beb7478b03e8a66f3f25ea56ea488922e98903914ac9ac930b", "3ad59c84c502cd134b0088ca9038d100e8fb5081bbd5ccca4863f3804d81f61d", "447c450a093766744ab53bf1e7063ec82866f27bcb4f4c907da25ad293bba7e3", "46101fc20c6f6568561cdd15a54018bb42980954b79aa46da8ae6f008066a30e", "4710dc676bb4b779c4361b54eb308bc84d64a2fa3d78e5f7228921eccce5d815", "510986f9a280cd05189b42eee2b69fecdf5bf9651d4cd315ea21d24a964a3c36", "5535dda5739257effef56e49a1c51c71f1d37a6e5607bb25a5eee507c59580d1", "5a7524042014642b39b1fcae85fb37556c200e64ec90824ae9ecf7b667ccfc14", "5f55028169ef85e1fa8e4b8b1b91c0b3b0fa3297c4fb22990d46ff01d22c2d6c", "6694d5573e7790a0e8d3d177d7a416ca5f5c150742ee703f3c18df76260de794", "6831e1ac20ac52634da606b658b0b2712d26984999c9d93f0c6e59fe62ca741b", "71afc1f5cd72ab97330126b566bbf4e8661aab7449f08895d21a5d08c6b051ff", "7349c27128334f787ae63ab49d90bf6d47c7288c63a0a5dfaa319d4b4541dd2c", "77f0d9fa5e10d03aa4528436e33423bfa3718b86c646615f04616294c935f840", "828ad813c7cdc2e71dcf141912c685bfe4b548c0e6d9540db6418b807c345ddd", "859714036274a75e6e57c7bab0c47a4602d2a8cfaaa33bbdb68c8359b2ed4f5c", "85a06c61598b14b015d4df233d249cd5abfa61084ef5b9f64a48e997fd829a82", "869ef4a19f6e4c6987e18b315721b8b971f7048e6eaea29c066854242b4e98d9", "8cb4febad0f0b26c6f62e1628f2053954ad2c555d67660f28dfb1b0496711952", "977e2d9a646773cc7428cdd9a34b069d6ee254fadfb4d09b3f430e95472f3cf3", "99bd767c49c775b79fdcd2eabff405f1063d9d959039c0bdd720527a7738748a", "a5c58664b23b248b16b96253880b2868fb34358911400a7ba39d7f6399935389", "aaa0f296e503cda4bc07566f592cd7a28779d433f3a23c48082af425d6d5a78f", "ab235d9fe64833f12d1334d29b558aacedfbca2356dfb9691f2d0d38a8a7bfb4", "b3b0c8f660fae65eac74fbf003f3103769b90012ae7a460863010539bb7a80da", "bab8e6d510d2ea0f1d14f12642e3f35cefa47a9b2e4c7cea1852b52bc9c49647", "c45297bbdbc8bb79b02cf41417d63352b70bcb76f1bbb1ee7d47b3e89e42f95d", "d19bca47c8a01b92640c614a9147b081a1974f69168ecd494687c827109e8f42", "d64b4340a0c488a9e79b66ec9f9d77d02b99b772c8b8afd46c1294c1d39ca478", "da969da069a82bbb5300b59161d8d7c8d423bc4ccd3b410a9b4d8932aeefc14b", "ed02c7539705696ecb7dc9d476d861f3904a8d2b7e894bd418994920935d36bb", "ee5b8abc35b549012e03a7b1e86c09491457dba6c94112a2482b18589cc2bdb9"]
 cycler = ["1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d", "cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"]
+decorator = ["33cd704aea07b4c28b3eb2c97d288a06918275dac0ecebdaf1bc8a48d98adb9e", "cabb249f4710888a2fc0e13e9a16c343d932033718ff62e1e9bc93a9d3a9122b"]
 delayed-assert = ["02eae58d56b9b8e3a72f890b85c1eb530184e25a65689e43889d4e9995cd42e4", "ecfffa0eba4980606739475480c4722330eb44a828e3b9cfa9a4deed4104b7d1"]
 future = ["67045236dcfd6816dc439556d009594abf643e5eb48992e36beac09c2ca659b8"]
 hypothesis = ["25023a6610a97e48bae511e71227a42293853432906e5a13403015e51b69e27c", "2b1ec609a1e357fd89e98dc59864f78f112dd58893c976e6b744caae83e6c494", "b0f0f3cca1954847a96b54d73345b3e5590739e235baa5470033d84f99dcd62d"]
@@ -382,6 +402,7 @@ pyparsing = ["40856e74d4987de5d01761a22d1621ae1c7f8774585acae358aa5c5936c6c90b",
 pyqt5 = ["517e4339135c4874b799af0d484bc2e8c27b54850113a68eec40a0b56534f450", "ac1eb5a114b6e7788e8be378be41c5e54b17d5158994504e85e43b5fca006a39", "d2309296a5a79d0a1c0e6c387c30f0398b65523a6dcc8a19cc172e46b949e00d", "e85936bae1581bcb908847d2038e5b34237a5e6acc03130099a78930770e7ead"]
 pyqt5-sip = ["125f77c087572c9272219cda030a63c2f996b8507592b2a54d7ef9b75f9f054d", "14c37b06e3fb7c2234cb208fa461ec4e62b4ba6d8b32ca3753c0b2cfd61b00e3", "1cb2cf52979f9085fc0eab7e0b2438eb4430d4aea8edec89762527e17317175b", "4babef08bccbf223ec34464e1ed0a23caeaeea390ca9a3529227d9a57f0d6ee4", "53cb9c1208511cda0b9ed11cffee992a5a2f5d96eb88722569b2ce65ecf6b960", "549449d9461d6c665cbe8af4a3808805c5e6e037cd2ce4fd93308d44a049bfac", "5f5b3089b200ff33de3f636b398e7199b57a6b5c1bb724bdb884580a072a14b5", "a4d9bf6e1fa2dd6e73f1873f1a47cee11a6ba0cf9ba8cf7002b28c76823600d0", "a4ee6026216f1fbe25c8847f9e0fbce907df5b908f84816e21af16ec7666e6fe", "a91a308a5e0cc99de1e97afd8f09f46dd7ca20cfaa5890ef254113eebaa1adff", "b0342540da479d2713edc68fb21f307473f68da896ad5c04215dae97630e0069", "f997e21b4e26a3397cb7b255b8d1db5b9772c8e0c94b6d870a5a0ab5c27eacaa"]
 pytest = ["3e65a22eb0d4f1bdbc1eacccf4a3198bf8d4049dea5112d70a0c61b00e748d02", "5924060b374f62608a078494b909d341720a050b5224ff87e17e12377486a71d"]
+pytest-cases = ["7f466da8058b1fcb371010ccad8e17efbd62c934c4a4ece5fee0defad270ce5a", "8baef91b47482d0febc3fd39a034d6add4ac5cfa2314a1dfb6ac847736412d1d"]
 pytest-cov = ["0ab664b25c6aa9716cbf203b17ddb301932383046082c081b9848a0edf5add33", "230ef817450ab0699c6cc3c9c8f7a829c34674456f2ed8df1fe1d39780f7c87f"]
 pytest-mock = ["53801e621223d34724926a5c98bd90e8e417ce35264365d39d6c896388dcc928", "d89a8209d722b8307b5e351496830d5cc5e192336003a485443ae9adeb7dd4c0"]
 python-dateutil = ["063df5763652e21de43de7d9e00ccf239f953a832941e37be541614732cdfc93", "88f9287c0174266bb0d8cedd395cfba9c58e87e5ad86b2ce58859bc11be3cf02"]

pyproject.toml

@@ -31,6 +31,7 @@ pywin32-ctypes = {version = "^0.2.0",platform = "win32"}
 coverage = "^4.5"
 pytest-cov = "^2.6"
 codecov = "^2.0"
+pytest_cases = "^1.2"
 
 [tool.poetry.scripts]
 corr = 'corrscope.cli:main'