How to use _make_argparser method in gabbi

Best Python code snippet using gabbi_python

boss.py

Source:boss.py

...46    _cmd_name = 'kill'47    _cmd_syntax = (48        ('line', {'type': 'glob'}),49    )50    def _make_argparser(self):51        parser = s_cmd.Parser(prog='kill', outp=self, description=self.__doc__)52        parser.add_argument('iden', help='Task iden to kill.', type=str)53        return parser54    async def runCmdOpts(self, opts):55        line = opts.get('line')56        if line is None:57            self.printf(self.__doc__)58            return59        try:60            opts = self._make_argparser().parse_args(shlex.split(line))61        except s_exc.ParserExit:62            return63        core = self.getCmdItem()64        match = opts.iden65        idens = []66        for task in await core.ps():67            iden = task.get('iden')68            if iden.startswith(match):69                idens.append(iden)70        if len(idens) == 0:71            self.printf('no matching process found.')72            return73        if len(idens) > 1:  # pragma: no cover74            # this is a non-trivial situation to test since the...

predict.py

Source:predict.py

...21    gs_img = ImageOps.grayscale(img)22    imgdata = np.array([255.0 - val for val in gs_img.getdata()])23    plt.imsave("last.png", imgdata.reshape((28, 28)), cmap=cm.binary)24    return imgdata25def _make_argparser() -> argparse.ArgumentParser:26    """Construct the parser for the CLI arguments."""27    parser = argparse.ArgumentParser(28        description="Predict an image of a digit between 0 and 9 using an SVM classificator.")29    parser.add_argument(30        "images",31        nargs="*",32        help="The filepath of the image to be predicted.")33    parser.add_argument(34        "-m",35        "--model",36        default="model.pkl",37        help="The filepath of the trained model.")38    parser.add_argument(39        "-v",40        "---verbose",41        action="store_true",42        help="Display information about the trained model on stdout."43    )44    return parser45if __name__ == "__main__":46    parser = _make_argparser()47    args = parser.parse_args()48    logging.basicConfig(49        format='%(levelname)s\t%(message)s',50        level=logging.INFO if args.verbose else logging.WARNING51    )52    if not os.path.exists(args.model):53        _logger.warning("Model path %s not found.", args.model)54        exit(1)55    model = joblib.load(args.model)56    for imagepath in args.images:57        if not os.path.exists(imagepath):58            _logger.warning("Image path %s not found.", imagepath)59            continue60        image = load_image(imagepath)...

run.py

Source:run.py

...28		    argparse.Namespace: Description29		"""30		docstring = getattr(self, run_method).__doc__31		parsed_docstring = self._parse_docstring(docstring)32		parser = self._make_argparser(parsed_docstring)33		return parser.parse_args()34	def _make_argparser(self, docstring_obj):35		parser = argparse.ArgumentParser(docstring_obj.short_description + "\n" + docstring_obj.long_description)36		parser.add_argument("module_name", help="the module name of the task to reference", nargs='?')37		for param in docstring_obj.params:38			parser.add_argument("--"+param.arg_name, help=param.description, choices=self._parse_options(param.description), 39								default=param.default, required=not param.is_optional)40		return parser41	def _parse_docstring(self, docstring):42		"""Summary43		44		Args:45		    docstring (TYPE): Description46		47		Returns:48		    TYPE: Description...

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