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https://github.com/clearml/clearml
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Correct spelling, code formatting, add deprecation warnings to logger methods (#1052)
* Correct spelling in docstrings and comments in automation controller * Improve readability by adding line breaks in automation controller * Add deprecation warnings for logger methods * Add docstring text regarding deprecation of logger methods * Format deprecation warnings for logger methods in Black style * Correct the docstring of query_tasks * Remove new line in 'pre_execute_callback' docstring --------- Co-authored-by: Make42 <none@none.net>
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@ -1615,7 +1615,7 @@ class PipelineController(object):
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def _has_stored_configuration(self):
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"""
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Return True if we are running remotely and we have stored configuration on the Task
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Return True if we are running remotely, and we have stored configuration on the Task
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"""
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if self._auto_connect_task and self._task and not self._task.running_locally() and self._task.is_main_task():
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stored_config = self._task.get_configuration_object(self._config_section)
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@ -1698,9 +1698,10 @@ class PipelineController(object):
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conformed_monitors = [
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pair if isinstance(pair[0], (list, tuple)) else (pair, pair) for pair in monitors
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]
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# verify pair of pairs
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# verify the pair of pairs
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if not all(isinstance(x[0][0], str) and isinstance(x[0][1], str) and
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isinstance(x[1][0], str) and isinstance(x[1][1], str) for x in conformed_monitors):
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isinstance(x[1][0], str) and isinstance(x[1][1], str)
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for x in conformed_monitors):
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raise ValueError("{} should be a list of tuples, found: {}".format(monitor_type, monitors))
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else:
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# verify a list of tuples
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@ -1711,8 +1712,10 @@ class PipelineController(object):
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conformed_monitors = [
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pair if isinstance(pair, (list, tuple)) else (pair, pair) for pair in monitors
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]
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# verify pair of pairs
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if not all(isinstance(x[0], str) and isinstance(x[1], str) for x in conformed_monitors):
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# verify the pair of pairs
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if not all(isinstance(x[0], str) and
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isinstance(x[1], str)
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for x in conformed_monitors):
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raise ValueError(
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"{} should be a list of tuples, found: {}".format(monitor_type, monitors))
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@ -1782,7 +1785,7 @@ class PipelineController(object):
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# type: (...) -> bool
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"""
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Create a Task from a function, including wrapping the function input arguments
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into the hyper-parameter section as kwargs, and storing function results as named artifacts
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into the hyperparameter section as kwargs, and storing function results as named artifacts
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Example:
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@ -1874,7 +1877,7 @@ class PipelineController(object):
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:param continue_on_fail: (default False). If True, failed step will not cause the pipeline to stop
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(or marked as failed). Notice, that steps that are connected (or indirectly connected)
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to the failed step will be skipped.
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:param pre_execute_callback: Callback function, called when the step (Task) is created
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:param pre_execute_callback: Callback function, called when the step (Task) is created,
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and before it is sent for execution. Allows a user to modify the Task before launch.
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Use `node.job` to access the ClearmlJob object, or `node.job.task` to directly access the Task object.
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`parameters` are the configuration arguments passed to the ClearmlJob.
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@ -2302,7 +2305,8 @@ class PipelineController(object):
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:param node_params: list of node parameters
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:param visited: list of nodes
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:return: Table as List of List of strings (cell)
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:return: Table as a List of a List of strings (cell)
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"""
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task_link_template = self._task.get_output_log_web_page() \
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.replace('/{}/'.format(self._task.project), '/{project}/') \
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@ -2778,6 +2782,7 @@ class PipelineController(object):
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return the pipeline components target folder name/id
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:param return_project_id: if False (default), return target folder name. If True, return project id
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:return: project id/name (None if not valid)
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"""
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if not self._target_project:
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@ -3110,7 +3115,7 @@ class PipelineDecorator(PipelineController):
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:param str target_project: If provided, all pipeline steps are cloned into the target project
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:param bool abort_on_failure: If False (default), failed pipeline steps will not cause the pipeline
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to stop immediately, instead any step that is not connected (or indirectly connected) to the failed step,
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will still be executed. Nonetheless the pipeline itself will be marked failed, unless the failed step
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will still be executed. Nonetheless, the pipeline itself will be marked failed, unless the failed step
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was specifically defined with "continue_on_fail=True".
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If True, any failed step will cause the pipeline to immediately abort, stop all running steps,
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and mark the pipeline as failed.
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@ -3540,7 +3545,7 @@ class PipelineDecorator(PipelineController):
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:param _func: wrapper function
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:param return_values: Provide a list of names for all the results.
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Notice! If not provided no results will be stored as artifacts.
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Notice! If not provided, no results will be stored as artifacts.
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:param name: Optional, set the name of the pipeline component task.
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If not provided, the wrapped function name is used as the pipeline component name
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:param cache: If True, before launching the new step,
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@ -3623,8 +3628,8 @@ class PipelineDecorator(PipelineController):
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# allow up to 5 retries (total of 6 runs)
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return retries < 5
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:param pre_execute_callback: Callback function, called when the step (Task) is created
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and before it is sent for execution. Allows a user to modify the Task before launch.
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:param pre_execute_callback: Callback function, called when the step (Task) is created,
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and before it is sent for execution. Allows a user to modify the Task before launch.
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Use `node.job` to access the ClearmlJob object, or `node.job.task` to directly access the Task object.
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`parameters` are the configuration arguments passed to the ClearmlJob.
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@ -3644,7 +3649,7 @@ class PipelineDecorator(PipelineController):
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pass
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:param post_execute_callback: Callback function, called when a step (Task) is completed
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and other jobs are executed. Allows a user to modify the Task status after completion.
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and other jobs are going to be executed. Allows a user to modify the Task status after completion.
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.. code-block:: py
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@ -3794,7 +3799,7 @@ class PipelineDecorator(PipelineController):
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if target_queue:
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PipelineDecorator.set_default_execution_queue(target_queue)
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else:
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# if we are are not running from a queue, we are probably in debug mode
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# if we are not running from a queue, we are probably in debug mode
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a_pipeline._clearml_job_class = LocalClearmlJob
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a_pipeline._default_execution_queue = 'mock'
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@ -3957,7 +3962,7 @@ class PipelineDecorator(PipelineController):
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:param str target_project: If provided, all pipeline steps are cloned into the target project
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:param bool abort_on_failure: If False (default), failed pipeline steps will not cause the pipeline
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to stop immediately, instead any step that is not connected (or indirectly connected) to the failed step,
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will still be executed. Nonetheless the pipeline itself will be marked failed, unless the failed step
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will still be executed. Nonetheless, the pipeline itself will be marked failed, unless the failed step
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was specifically defined with "continue_on_fail=True".
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If True, any failed step will cause the pipeline to immediately abort, stop all running steps,
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and mark the pipeline as failed.
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@ -199,6 +199,10 @@ class Logger(object):
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"""
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For explicit reporting, plot a vector as (default stacked) histogram.
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.. note::
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This method is the same as :meth:`Logger.report_histogram`.
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This method is deprecated, use :meth:`Logger.report_histogram` instead.
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For example:
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.. code-block:: py
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@ -224,6 +228,11 @@ class Logger(object):
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See full details on the supported configuration: https://plotly.com/javascript/reference/layout/
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example: extra_layout={'showlegend': False, 'plot_bgcolor': 'yellow'}
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"""
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warnings.warn(
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":meth:`Logger.report_vector` is deprecated;"
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"use :meth:`Logger.report_histogram` instead.",
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DeprecationWarning
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)
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self._touch_title_series(title, series)
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return self.report_histogram(title, series, values, iteration or 0, labels=labels, xlabels=xlabels,
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xaxis=xaxis, yaxis=yaxis, mode=mode, extra_layout=extra_layout)
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@ -439,7 +448,16 @@ class Logger(object):
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:param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
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See full details on the supported configuration: https://plotly.com/javascript/reference/scatter/
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example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
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.. note::
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This method is the same as :meth:`Logger.report_scatter2d` with :param:`mode='lines'`.
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This method is deprecated, use :meth:`Logger.report_scatter2d` instead.
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"""
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warnings.warn(
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":meth:`Logger.report_line_plot` is deprecated;"
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"use :meth:`Logger.report_scatter2d` instead, e.g., with :param:`mode='lines'`.",
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DeprecationWarning
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)
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# noinspection PyArgumentList
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series = [self.SeriesInfo(**s) if isinstance(s, dict) else s for s in series]
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@ -710,6 +728,7 @@ class Logger(object):
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.. note::
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This method is the same as :meth:`Logger.report_confusion_matrix`.
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This method is deprecated, use :meth:`Logger.report_confusion_matrix` instead.
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:param str title: The title (metric) of the plot.
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:param str series: The series name (variant) of the reported confusion matrix.
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@ -719,11 +738,16 @@ class Logger(object):
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:param str yaxis: The y-axis title. (Optional)
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:param list(str) xlabels: Labels for each column of the matrix. (Optional)
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:param list(str) ylabels: Labels for each row of the matrix. (Optional)
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:param bool yaxis_reversed: If False, 0,0 is at the bottom left corner. If True, 0,0 is at the top left corner
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:param bool yaxis_reversed: If False, 0,0 is in the bottom left corner. If True, 0,0 is in the top left corner
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:param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
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See full details on the supported configuration: https://plotly.com/javascript/reference/heatmap/
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example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
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"""
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warnings.warn(
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":meth:`Logger.report_matrix` is deprecated;"
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"use :meth:`Logger.report_confusion_matrix` instead.",
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DeprecationWarning
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)
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self._touch_title_series(title, series)
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return self.report_confusion_matrix(title, series, matrix, iteration or 0,
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xaxis=xaxis, yaxis=yaxis, xlabels=xlabels, ylabels=ylabels,
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@ -1009,10 +1009,16 @@ class Task(_Task):
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If None is passed, returns all tasks within the project
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:param list tags: Filter based on the requested list of tags (strings)
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To exclude a tag add "-" prefix to the tag. Example: ["best", "-debug"]
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To include All tags (instead of the default All behaviour) use "__$all" as the first string, example:
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The default behaviour is to join all tags with a logical "OR" operator.
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To join all tags with a logical "AND" operator instead, use "__$all" as the first string, for example:
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["__$all", "best", "experiment", "ever"]
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To combine All tags and exclude a list of tags use "__$not" before the excluded tags, example:
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["__$all", "best", "experiment", "ever", "__$not", "internal", "test"]
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To join all tags with AND, but exclude a tag use "__$not" before the excluded tag, for example:
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["__$all", "best", "experiment", "ever", "__$not", "internal", "__$not", "test"]
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The "OR" and "AND" operators apply to all tags that follow them until another operator is specified.
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The NOT operator applies only to the immediately following tag.
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For example, ["__$all", "a", "b", "c", "__$or", "d", "__$not", "e", "__$and", "__$or" "f", "g"]
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means ("a" AND "b" AND "c" AND ("d" OR NOT "e") AND ("f" OR "g")).
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See https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/#tag-filters for more information.
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:param list additional_return_fields: Optional, if not provided return a list of Task IDs.
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If provided return dict per Task with the additional requested fields.
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Example: ``returned_fields=['last_updated', 'user', 'script.repository']`` will return a list of dict:
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