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Python luigi.Target方法代码示例

本文整理汇总了Python中luigi.Target方法的典型用法代码示例。如果您正苦于以下问题:Python luigi.Target方法的具体用法?Python luigi.Target怎么用?Python luigi.Target使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在luigi的用法示例。


在下文中一共展示了luigi.Target方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: _get_input_args

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def _get_input_args(self):
        # TODO(brianm): this doesn't work when subclass yields from `requires`
        job_input = self.input()
        if isinstance(job_input, luigi.Target):
            job_input = {"input": job_input}
        if len(job_input) == 0:  # default requires()
            return []
        if not isinstance(job_input, dict):
            raise ValueError("Input (requires()) must be dict type")
        input_args = []
        for (name, targets) in job_input.items():
            uris = [get_uri(target) for target in luigi.task.flatten(targets)]
            if isinstance(targets, dict):
                # If targets is a dict that means it had multiple outputs. In this case make the
                # input args "<input key>-<task output key>"
                names = ["%s-%s" % (name, key) for key in targets.keys()]
            else:
                names = [name] * len(uris)
            for (arg_name, uri) in zip(names, uris):
                input_args.append("--%s=%s" % (arg_name, uri))

        return input_args 
开发者ID:spotify,项目名称:spotify-tensorflow,代码行数:24,代码来源:tensorflow_task.py

示例2: test_methods

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def test_methods(self):
        wf = sl.WorkflowTask()
        touta = wf.new_task('tout', MultiOutTask,
            an_id='a')
        toutb = wf.new_task('tout', MultiOutTask,
            an_id='b')
        toutc = wf.new_task('tout', MultiOutTask,
            an_id='c')
        tin = wf.new_task('tout', MultiInTask)

        tin.in_multi = [touta.out_multi, {'a': toutb.out_multi, 'b': toutc.out_multi()}]

        # Assert outputs returns luigi targets, or list of luigi targets
        outs = touta.output()
        self.assertIsInstance(outs, list)
        for out in outs:
            self.assertIsInstance(out, luigi.Target)

        reqs = tin.requires()
        self.assertIsInstance(reqs, list)
        for req in reqs:
            self.assertIsInstance(req, luigi.Task) 
开发者ID:pharmbio,项目名称:sciluigi,代码行数:24,代码来源:test_dependencies.py

示例3: __init__

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def __init__(self, *args, **kwargs):
        super(PythonDataflowTask, self).__init__(*args, **kwargs)
        self._output = self.output()
        if isinstance(self._output, luigi.Target):
            self._output = {"output": self._output}
        if self.job_name is None:
            # job_name must consist of only the characters [-a-z0-9]
            cls_name = self.__class__.__name__.replace("_", "-").lower()
            self.job_name = "{cls_name}-{timestamp}".format(cls_name=cls_name,
                                                            timestamp=str(int(time.time()))) 
开发者ID:spotify,项目名称:spotify-tensorflow,代码行数:12,代码来源:python_dataflow_task.py

示例4: _get_input_args

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def _get_input_args(self):
        """
        Collects outputs from requires() and converts them to input arguments.
        file_pattern() is called to construct input file path glob with default value "part-*"
        """
        job_input = self.input()
        if isinstance(job_input, luigi.Target):
            job_input = {"input": job_input}
        if not isinstance(job_input, dict):
            raise ValueError("Input (requires()) must be dict type")

        input_args = []
        file_pattern_dict = self._get_file_pattern()
        for (name, targets) in job_input.items():
            uri_targets = luigi.task.flatten(targets)
            pattern = file_pattern_dict.get(name, "part-*")
            uris = [self._get_input_uri(pattern, uri_target) for uri_target in uri_targets]
            if isinstance(targets, dict):
                # If targets is a dict that means it had multiple outputs.
                #  Make the input args in that case "<input key>-<task output key>"
                names = ["%s-%s" % (name, key) for key in targets.keys()]
            else:
                names = [name] * len(uris)
            for (arg_name, uri) in zip(names, uris):
                input_args.append("--%s=%s" % (arg_name, uri))

        return input_args 
开发者ID:spotify,项目名称:spotify-tensorflow,代码行数:29,代码来源:python_dataflow_task.py

示例5: output

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def output(self):
        # `make_target` makes an instance of `luigi.Target`.
        # This infers the output format and the destination of an output objects.
        # The target file path is
        #     '{TaskOnKart.workspace_directory}/output_of_task_b_{self.make_unique_id()}.pkl'.
        return self.make_target('output_of_task_b.pkl') 
开发者ID:m3dev,项目名称:gokart,代码行数:8,代码来源:sample_task.py

示例6: get_object_storage_target

# 需要导入模块: import luigi [as 别名]
# 或者: from luigi import Target [as 别名]
def get_object_storage_target(path: str, format: Format) -> luigi.Target:
        if path.startswith('s3://'):
            return luigi.contrib.s3.S3Target(path, client=S3Config().get_s3_client(), format=format)
        elif path.startswith('gs://'):
            return luigi.contrib.gcs.GCSTarget(path, client=GCSConfig().get_gcs_client(), format=format)
        else:
            raise 
开发者ID:m3dev,项目名称:gokart,代码行数:9,代码来源:object_storage.py


注:本文中的luigi.Target方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。