diff --git a/_sources/autoapi/dacapo/blockwise/argmax_worker/index.rst.txt b/_sources/autoapi/dacapo/blockwise/argmax_worker/index.rst.txt index dd84e5e5..7e482ae1 100644 --- a/_sources/autoapi/dacapo/blockwise/argmax_worker/index.rst.txt +++ b/_sources/autoapi/dacapo/blockwise/argmax_worker/index.rst.txt @@ -32,6 +32,7 @@ Functions dacapo.blockwise.argmax_worker.create_compute_context dacapo.blockwise.argmax_worker.cli dacapo.blockwise.argmax_worker.start_worker + dacapo.blockwise.argmax_worker.start_worker_fn dacapo.blockwise.argmax_worker.spawn_worker @@ -577,6 +578,8 @@ Module Contents .. py:function:: start_worker(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool = False) +.. py:function:: start_worker_fn(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool = False) + Start the threshold worker. :param input_container: The input container. diff --git a/_sources/autoapi/dacapo/blockwise/predict_worker/index.rst.txt b/_sources/autoapi/dacapo/blockwise/predict_worker/index.rst.txt index 988b72b4..6a4a9782 100644 --- a/_sources/autoapi/dacapo/blockwise/predict_worker/index.rst.txt +++ b/_sources/autoapi/dacapo/blockwise/predict_worker/index.rst.txt @@ -35,6 +35,7 @@ Functions dacapo.blockwise.predict_worker.create_compute_context dacapo.blockwise.predict_worker.cli dacapo.blockwise.predict_worker.start_worker + dacapo.blockwise.predict_worker.start_worker_fn dacapo.blockwise.predict_worker.spawn_worker @@ -677,7 +678,9 @@ Module Contents :type log_level: str -.. py:function:: start_worker(run_name: str, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: Optional[bool] = False) +.. py:function:: start_worker(run_name: str | dacapo.experiments.Run, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: Optional[bool] = False) + +.. py:function:: start_worker_fn(run_name: str | dacapo.experiments.Run, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: Optional[bool] = False) Start a worker to apply a trained model to a dataset. @@ -695,7 +698,7 @@ Module Contents :type output_dataset: str -.. py:function:: spawn_worker(run_name: str, iteration: int | None, input_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier) +.. py:function:: spawn_worker(run_name: str | dacapo.experiments.Run, iteration: int | None, input_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier) Spawn a worker to predict on a given dataset. diff --git a/_sources/autoapi/dacapo/blockwise/relabel_worker/index.rst.txt b/_sources/autoapi/dacapo/blockwise/relabel_worker/index.rst.txt index bfb5e822..278a36e0 100644 --- a/_sources/autoapi/dacapo/blockwise/relabel_worker/index.rst.txt +++ b/_sources/autoapi/dacapo/blockwise/relabel_worker/index.rst.txt @@ -30,6 +30,7 @@ Functions dacapo.blockwise.relabel_worker.create_compute_context dacapo.blockwise.relabel_worker.cli dacapo.blockwise.relabel_worker.start_worker + dacapo.blockwise.relabel_worker.start_worker_fn dacapo.blockwise.relabel_worker.relabel_in_block dacapo.blockwise.relabel_worker.find_components dacapo.blockwise.relabel_worker.read_cross_block_merges @@ -101,7 +102,9 @@ Module Contents .. py:data:: path -.. py:function:: start_worker(output_container, output_dataset, tmpdir, return_io_loop=False, *args, **kwargs) +.. py:function:: start_worker(output_container, output_dataset, tmpdir, return_io_loop=False) + +.. py:function:: start_worker_fn(output_container, output_dataset, tmpdir, return_io_loop=False) Start the relabel worker. @@ -151,7 +154,7 @@ Module Contents :rtype: Tuple[np.ndarray, np.ndarray] -.. py:function:: spawn_worker(output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, tmpdir: str, *args, **kwargs) +.. py:function:: spawn_worker(output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, tmpdir: str) Spawn a worker to predict on a given dataset. diff --git a/_sources/autoapi/dacapo/blockwise/segment_worker/index.rst.txt b/_sources/autoapi/dacapo/blockwise/segment_worker/index.rst.txt index a7debb12..42970aae 100644 --- a/_sources/autoapi/dacapo/blockwise/segment_worker/index.rst.txt +++ b/_sources/autoapi/dacapo/blockwise/segment_worker/index.rst.txt @@ -32,6 +32,7 @@ Functions dacapo.blockwise.segment_worker.create_compute_context dacapo.blockwise.segment_worker.cli dacapo.blockwise.segment_worker.start_worker + dacapo.blockwise.segment_worker.start_worker_fn dacapo.blockwise.segment_worker.spawn_worker @@ -573,7 +574,9 @@ Module Contents .. py:data:: path -.. py:function:: start_worker(input_container: str, input_dataset: str, output_container: str, output_dataset: str, tmpdir: str, function_path: str, return_io_loop: bool = False) +.. py:function:: start_worker(input_container: str | upath.UPath, input_dataset: str, output_container: str | upath.UPath, output_dataset: str, tmpdir: str | upath.UPath, function_path: str | upath.UPath, return_io_loop: bool = False) + +.. py:function:: start_worker_fn(input_container: str | upath.UPath, input_dataset: str, output_container: str | upath.UPath, output_dataset: str, tmpdir: str | upath.UPath, function_path: str | upath.UPath, return_io_loop: bool = False) Start a worker to run a segment function on a given dataset. diff --git a/_sources/autoapi/dacapo/blockwise/threshold_worker/index.rst.txt b/_sources/autoapi/dacapo/blockwise/threshold_worker/index.rst.txt index fa5c7653..612ff9ec 100644 --- a/_sources/autoapi/dacapo/blockwise/threshold_worker/index.rst.txt +++ b/_sources/autoapi/dacapo/blockwise/threshold_worker/index.rst.txt @@ -32,6 +32,7 @@ Functions dacapo.blockwise.threshold_worker.create_compute_context dacapo.blockwise.threshold_worker.cli dacapo.blockwise.threshold_worker.start_worker + dacapo.blockwise.threshold_worker.start_worker_fn dacapo.blockwise.threshold_worker.spawn_worker @@ -571,6 +572,8 @@ Module Contents .. py:function:: start_worker(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, threshold: float = 0.0, return_io_loop: bool = False) +.. py:function:: start_worker_fn(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, threshold: float = 0.0, return_io_loop: bool = False) + Start the threshold worker. :param input_container: The input container. diff --git a/_sources/autoapi/dacapo/compute_context/bsub/index.rst.txt b/_sources/autoapi/dacapo/compute_context/bsub/index.rst.txt index dac8efa1..f3d5e00a 100644 --- a/_sources/autoapi/dacapo/compute_context/bsub/index.rst.txt +++ b/_sources/autoapi/dacapo/compute_context/bsub/index.rst.txt @@ -20,28 +20,35 @@ Module Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. + Helper class that provides a standard way to create an ABC using + inheritance. - .. attribute:: device - The device on which computations are to be done. + .. py:attribute:: distribute_workers + :type: Optional[bool] + + The ComputeContext class is an abstract base class for defining the context in which computations are to be done. + It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define + their own specific variations of the context. It requires to implement several property methods, and also includes + additional methods related to the context design. + + .. attribute:: device - .. method:: _wrap_command(command) + The device on which computations are to be done. - Wraps a command in the context specific command. + .. method:: _wrap_command(command) + + Wraps a command in the context specific command. - .. method:: wrap_command(command) + .. method:: wrap_command(command) - Wraps a command in the context specific command and returns it. + Wraps a command in the context specific command and returns it. - .. method:: execute(command) + .. method:: execute(command) - Runs a command in the context specific way. + Runs a command in the context specific way. - .. note:: The class is abstract and requires to implement the abstract methods. + .. note:: The class is abstract and requires to implement the abstract methods. .. py:property:: device @@ -109,28 +116,8 @@ Module Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. - - .. attribute:: device - - The device on which computations are to be done. - - .. method:: _wrap_command(command) - - Wraps a command in the context specific command. - - .. method:: wrap_command(command) - - Wraps a command in the context specific command and returns it. - - .. method:: execute(command) - - Runs a command in the context specific way. - - .. note:: The class is abstract and requires to implement the abstract methods. + Helper class that provides a standard way to create an ABC using + inheritance. .. py:attribute:: distribute_workers diff --git a/_sources/autoapi/dacapo/compute_context/compute_context/index.rst.txt b/_sources/autoapi/dacapo/compute_context/compute_context/index.rst.txt index 1ec495c7..8face7d5 100644 --- a/_sources/autoapi/dacapo/compute_context/compute_context/index.rst.txt +++ b/_sources/autoapi/dacapo/compute_context/compute_context/index.rst.txt @@ -85,28 +85,35 @@ Module Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. + Helper class that provides a standard way to create an ABC using + inheritance. - .. attribute:: device - The device on which computations are to be done. + .. py:attribute:: distribute_workers + :type: Optional[bool] - .. method:: _wrap_command(command) + The ComputeContext class is an abstract base class for defining the context in which computations are to be done. + It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define + their own specific variations of the context. It requires to implement several property methods, and also includes + additional methods related to the context design. - Wraps a command in the context specific command. + .. attribute:: device - .. method:: wrap_command(command) + The device on which computations are to be done. - Wraps a command in the context specific command and returns it. + .. method:: _wrap_command(command) - .. method:: execute(command) + Wraps a command in the context specific command. - Runs a command in the context specific way. + .. method:: wrap_command(command) - .. note:: The class is abstract and requires to implement the abstract methods. + Wraps a command in the context specific command and returns it. + + .. method:: execute(command) + + Runs a command in the context specific way. + + .. note:: The class is abstract and requires to implement the abstract methods. .. py:property:: device diff --git a/_sources/autoapi/dacapo/compute_context/index.rst.txt b/_sources/autoapi/dacapo/compute_context/index.rst.txt index 0b480bb9..adc01a26 100644 --- a/_sources/autoapi/dacapo/compute_context/index.rst.txt +++ b/_sources/autoapi/dacapo/compute_context/index.rst.txt @@ -40,28 +40,35 @@ Package Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. + Helper class that provides a standard way to create an ABC using + inheritance. - .. attribute:: device - The device on which computations are to be done. + .. py:attribute:: distribute_workers + :type: Optional[bool] + + The ComputeContext class is an abstract base class for defining the context in which computations are to be done. + It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define + their own specific variations of the context. It requires to implement several property methods, and also includes + additional methods related to the context design. + + .. attribute:: device - .. method:: _wrap_command(command) + The device on which computations are to be done. - Wraps a command in the context specific command. + .. method:: _wrap_command(command) + + Wraps a command in the context specific command. - .. method:: wrap_command(command) + .. method:: wrap_command(command) - Wraps a command in the context specific command and returns it. + Wraps a command in the context specific command and returns it. - .. method:: execute(command) + .. method:: execute(command) - Runs a command in the context specific way. + Runs a command in the context specific way. - .. note:: The class is abstract and requires to implement the abstract methods. + .. note:: The class is abstract and requires to implement the abstract methods. .. py:property:: device @@ -196,28 +203,8 @@ Package Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. - - .. attribute:: device - - The device on which computations are to be done. - - .. method:: _wrap_command(command) - - Wraps a command in the context specific command. - - .. method:: wrap_command(command) - - Wraps a command in the context specific command and returns it. - - .. method:: execute(command) - - Runs a command in the context specific way. - - .. note:: The class is abstract and requires to implement the abstract methods. + Helper class that provides a standard way to create an ABC using + inheritance. .. py:attribute:: distribute_workers diff --git a/_sources/autoapi/dacapo/compute_context/local_torch/index.rst.txt b/_sources/autoapi/dacapo/compute_context/local_torch/index.rst.txt index 0e1a1425..ee5cd332 100644 --- a/_sources/autoapi/dacapo/compute_context/local_torch/index.rst.txt +++ b/_sources/autoapi/dacapo/compute_context/local_torch/index.rst.txt @@ -20,28 +20,35 @@ Module Contents - The ComputeContext class is an abstract base class for defining the context in which computations are to be done. - It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define - their own specific variations of the context. It requires to implement several property methods, and also includes - additional methods related to the context design. + Helper class that provides a standard way to create an ABC using + inheritance. - .. attribute:: device - The device on which computations are to be done. + .. py:attribute:: distribute_workers + :type: Optional[bool] + + The ComputeContext class is an abstract base class for defining the context in which computations are to be done. + It is inherited from the built-in class `ABC` (Abstract Base Classes). Other classes can inherit this class to define + their own specific variations of the context. It requires to implement several property methods, and also includes + additional methods related to the context design. + + .. attribute:: device + + The device on which computations are to be done. - .. method:: _wrap_command(command) + .. method:: _wrap_command(command) - Wraps a command in the context specific command. + Wraps a command in the context specific command. - .. method:: wrap_command(command) + .. method:: wrap_command(command) - Wraps a command in the context specific command and returns it. + Wraps a command in the context specific command and returns it. - .. method:: execute(command) + .. method:: execute(command) - Runs a command in the context specific way. + Runs a command in the context specific way. - .. note:: The class is abstract and requires to implement the abstract methods. + .. note:: The class is abstract and requires to implement the abstract methods. .. py:property:: device diff --git a/autoapi/dacapo/blockwise/argmax_worker/index.html b/autoapi/dacapo/blockwise/argmax_worker/index.html index 61911797..ae20062d 100644 --- a/autoapi/dacapo/blockwise/argmax_worker/index.html +++ b/autoapi/dacapo/blockwise/argmax_worker/index.html @@ -147,9 +147,12 @@

Functions

start_worker(input_container, input_dataset, ...[, ...])

+

+ +

start_worker_fn(input_container, input_dataset, ...[, ...])

Start the threshold worker.

-

spawn_worker(input_array_identifier, ...)

+

spawn_worker(input_array_identifier, ...)

Spawn a worker to predict on a given dataset.

@@ -824,6 +827,11 @@

Module Contents
dacapo.blockwise.argmax_worker.start_worker(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool = False)
+
+ +
+
+dacapo.blockwise.argmax_worker.start_worker_fn(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool = False)

Start the threshold worker.

Parameters:
diff --git a/autoapi/dacapo/blockwise/predict_worker/index.html b/autoapi/dacapo/blockwise/predict_worker/index.html index 05171cea..88ef87d9 100644 --- a/autoapi/dacapo/blockwise/predict_worker/index.html +++ b/autoapi/dacapo/blockwise/predict_worker/index.html @@ -156,9 +156,12 @@

Functions

start_worker(run_name, iteration, input_container, ...)

+

+ +

start_worker_fn(run_name, iteration, input_container, ...)

Start a worker to apply a trained model to a dataset.

-

spawn_worker(run_name, iteration, ...)

+

spawn_worker(run_name, iteration, ...)

Spawn a worker to predict on a given dataset.

@@ -969,7 +972,12 @@

Module Contents
-dacapo.blockwise.predict_worker.start_worker(run_name: str, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool | None = False)
+dacapo.blockwise.predict_worker.start_worker(run_name: str | dacapo.experiments.Run, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool | None = False) +

+ +
+
+dacapo.blockwise.predict_worker.start_worker_fn(run_name: str | dacapo.experiments.Run, iteration: int | None, input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, return_io_loop: bool | None = False)

Start a worker to apply a trained model to a dataset.

Parameters:
@@ -987,7 +995,7 @@

Module Contents
-dacapo.blockwise.predict_worker.spawn_worker(run_name: str, iteration: int | None, input_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier)
+dacapo.blockwise.predict_worker.spawn_worker(run_name: str | dacapo.experiments.Run, iteration: int | None, input_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier)

Spawn a worker to predict on a given dataset.

Parameters:
diff --git a/autoapi/dacapo/blockwise/relabel_worker/index.html b/autoapi/dacapo/blockwise/relabel_worker/index.html index 0ab83c4b..57e42dcf 100644 --- a/autoapi/dacapo/blockwise/relabel_worker/index.html +++ b/autoapi/dacapo/blockwise/relabel_worker/index.html @@ -141,18 +141,21 @@

Functions

start_worker(output_container, output_dataset, tmpdir)

+

+ +

start_worker_fn(output_container, output_dataset, tmpdir)

Start the relabel worker.

-

relabel_in_block(array_out, old_values, new_values, block)

+

relabel_in_block(array_out, old_values, new_values, block)

Relabel the array in the given block.

-

find_components(nodes, edges)

+

find_components(nodes, edges)

Find the components.

-

read_cross_block_merges(tmpdir)

+

read_cross_block_merges(tmpdir)

Read the cross block merges.

-

spawn_worker(output_array_identifier, tmpdir, *args, ...)

+

spawn_worker(output_array_identifier, tmpdir)

Spawn a worker to predict on a given dataset.

@@ -255,7 +258,12 @@

Module Contents
-dacapo.blockwise.relabel_worker.start_worker(output_container, output_dataset, tmpdir, return_io_loop=False, *args, **kwargs)
+dacapo.blockwise.relabel_worker.start_worker(output_container, output_dataset, tmpdir, return_io_loop=False) +

+ +
+
+dacapo.blockwise.relabel_worker.start_worker_fn(output_container, output_dataset, tmpdir, return_io_loop=False)

Start the relabel worker.

Parameters:
@@ -323,7 +331,7 @@

Module Contents
-dacapo.blockwise.relabel_worker.spawn_worker(output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, tmpdir: str, *args, **kwargs)
+dacapo.blockwise.relabel_worker.spawn_worker(output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, tmpdir: str)

Spawn a worker to predict on a given dataset.

Parameters:
diff --git a/autoapi/dacapo/blockwise/segment_worker/index.html b/autoapi/dacapo/blockwise/segment_worker/index.html index 0314710c..48372566 100644 --- a/autoapi/dacapo/blockwise/segment_worker/index.html +++ b/autoapi/dacapo/blockwise/segment_worker/index.html @@ -147,9 +147,12 @@

Functions

start_worker(input_container, input_dataset, ...[, ...])

+

+ +

start_worker_fn(input_container, input_dataset, ...[, ...])

Start a worker to run a segment function on a given dataset.

-

spawn_worker(input_array_identifier, ...)

+

spawn_worker(input_array_identifier, ...)

Spawn a worker to predict on a given dataset.

@@ -823,7 +826,12 @@

Module Contents
-dacapo.blockwise.segment_worker.start_worker(input_container: str, input_dataset: str, output_container: str, output_dataset: str, tmpdir: str, function_path: str, return_io_loop: bool = False)
+dacapo.blockwise.segment_worker.start_worker(input_container: str | upath.UPath, input_dataset: str, output_container: str | upath.UPath, output_dataset: str, tmpdir: str | upath.UPath, function_path: str | upath.UPath, return_io_loop: bool = False) +

+ +
+
+dacapo.blockwise.segment_worker.start_worker_fn(input_container: str | upath.UPath, input_dataset: str, output_container: str | upath.UPath, output_dataset: str, tmpdir: str | upath.UPath, function_path: str | upath.UPath, return_io_loop: bool = False)

Start a worker to run a segment function on a given dataset.

Parameters:
diff --git a/autoapi/dacapo/blockwise/threshold_worker/index.html b/autoapi/dacapo/blockwise/threshold_worker/index.html index e1944a5a..8a037c0b 100644 --- a/autoapi/dacapo/blockwise/threshold_worker/index.html +++ b/autoapi/dacapo/blockwise/threshold_worker/index.html @@ -147,9 +147,12 @@

Functions

start_worker(input_container, input_dataset, ...[, ...])

+

+ +

start_worker_fn(input_container, input_dataset, ...[, ...])

Start the threshold worker.

-

spawn_worker(input_array_identifier, ...[, threshold])

+

spawn_worker(input_array_identifier, ...[, threshold])

Spawn a worker to predict on a given dataset.

@@ -818,6 +821,11 @@

Module Contents
dacapo.blockwise.threshold_worker.start_worker(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, threshold: float = 0.0, return_io_loop: bool = False)
+

+ +
+
+dacapo.blockwise.threshold_worker.start_worker_fn(input_container: upath.UPath | str, input_dataset: str, output_container: upath.UPath | str, output_dataset: str, threshold: float = 0.0, return_io_loop: bool = False)

Start the threshold worker.

Parameters:
diff --git a/autoapi/dacapo/compute_context/bsub/index.html b/autoapi/dacapo/compute_context/bsub/index.html index 31c159ce..de631cc5 100644 --- a/autoapi/dacapo/compute_context/bsub/index.html +++ b/autoapi/dacapo/compute_context/bsub/index.html @@ -109,10 +109,10 @@

Classes - + - +

ComputeContext

The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

Helper class that provides a standard way to create an ABC using

Bsub

The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

Helper class that provides a standard way to create an ABC using
@@ -122,6 +122,11 @@

Module Contents
class dacapo.compute_context.bsub.ComputeContext
+

Helper class that provides a standard way to create an ABC using +inheritance.

+
+
+distribute_workers: bool | None

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define their own specific variations of the context. It requires to implement several property methods, and also includes @@ -154,6 +159,8 @@

Module ContentsNote

The class is abstract and requires to implement the abstract methods.

+

+
abstract property device
@@ -240,38 +247,8 @@

Module Contents
class dacapo.compute_context.bsub.Bsub
-

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. -It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define -their own specific variations of the context. It requires to implement several property methods, and also includes -additional methods related to the context design.

-
-
-device
-

The device on which computations are to be done.

-
- -
-
-_wrap_command(command)
-

Wraps a command in the context specific command.

-
- -
-
-wrap_command(command)
-

Wraps a command in the context specific command and returns it.

-
- -
-
-execute(command)
-

Runs a command in the context specific way.

-
- -
-

Note

-

The class is abstract and requires to implement the abstract methods.

-
+

Helper class that provides a standard way to create an ABC using +inheritance.

distribute_workers: bool | None
@@ -323,14 +300,14 @@

Module Contents -
-device()
+
+device()

Returns the device on which computations are to be done.

-
-_wrap_command(command)
+
+_wrap_command(command)

Wraps a command in the context specific command.

@@ -341,28 +318,28 @@

Module Contents -
-queue: str
+
+queue: str

-
-num_gpus: int
+
+num_gpus: int
-
-num_cpus: int
+
+num_cpus: int
-
-billing: str | None
+
+billing: str | None
-
-property device
+
+property device
A property method that returns the device on which computations are to be done.

A device can be a CPU, GPU, TPU, etc. It is used to specify the context in which computations are to be done.

diff --git a/autoapi/dacapo/compute_context/compute_context/index.html b/autoapi/dacapo/compute_context/compute_context/index.html index 8400a6c6..b0972422 100644 --- a/autoapi/dacapo/compute_context/compute_context/index.html +++ b/autoapi/dacapo/compute_context/compute_context/index.html @@ -112,7 +112,7 @@

Classes

A class that provides options for configuring DaCapo.

ComputeContext

-

The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

+

Helper class that provides a standard way to create an ABC using

@@ -199,6 +199,11 @@

Module Contents
class dacapo.compute_context.compute_context.ComputeContext
+

Helper class that provides a standard way to create an ABC using +inheritance.

+
+
+distribute_workers: bool | None

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define their own specific variations of the context. It requires to implement several property methods, and also includes @@ -231,6 +236,8 @@

Module ContentsNote

The class is abstract and requires to implement the abstract methods.

+

+
abstract property device
diff --git a/autoapi/dacapo/compute_context/index.html b/autoapi/dacapo/compute_context/index.html index db8b3742..4e9f5371 100644 --- a/autoapi/dacapo/compute_context/index.html +++ b/autoapi/dacapo/compute_context/index.html @@ -118,13 +118,13 @@

Classes - + - +

ComputeContext

The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

Helper class that provides a standard way to create an ABC using

LocalTorch

The LocalTorch class is a subclass of the ComputeContext class.

Bsub

The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

Helper class that provides a standard way to create an ABC using
@@ -144,6 +144,11 @@

Package Contents
class dacapo.compute_context.ComputeContext
+

Helper class that provides a standard way to create an ABC using +inheritance.

+
+
+distribute_workers: bool | None

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define their own specific variations of the context. It requires to implement several property methods, and also includes @@ -176,6 +181,8 @@

Package ContentsNote

The class is abstract and requires to implement the abstract methods.

+

+
abstract property device
@@ -364,38 +371,8 @@

Package Contents
class dacapo.compute_context.Bsub
-

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. -It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define -their own specific variations of the context. It requires to implement several property methods, and also includes -additional methods related to the context design.

-
-
-device
-

The device on which computations are to be done.

-
- -
-
-_wrap_command(command)
-

Wraps a command in the context specific command.

-
- -
-
-wrap_command(command)
-

Wraps a command in the context specific command and returns it.

-
- -
-
-execute(command)
-

Runs a command in the context specific way.

-
- -
-

Note

-

The class is abstract and requires to implement the abstract methods.

-
+

Helper class that provides a standard way to create an ABC using +inheritance.

distribute_workers: bool | None
@@ -447,14 +424,14 @@

Package Contents -
-device()
+
+device()

Returns the device on which computations are to be done.

-
-_wrap_command(command)
+
+_wrap_command(command)

Wraps a command in the context specific command.

@@ -465,28 +442,28 @@

Package Contents -
-queue: str
+
+queue: str

-
-num_gpus: int
+
+num_gpus: int
-
-num_cpus: int
+
+num_cpus: int
-
-billing: str | None
+
+billing: str | None
-
-property device
+
+property device
A property method that returns the device on which computations are to be done.

A device can be a CPU, GPU, TPU, etc. It is used to specify the context in which computations are to be done.

diff --git a/autoapi/dacapo/compute_context/local_torch/index.html b/autoapi/dacapo/compute_context/local_torch/index.html index 48811179..b88aeda3 100644 --- a/autoapi/dacapo/compute_context/local_torch/index.html +++ b/autoapi/dacapo/compute_context/local_torch/index.html @@ -109,7 +109,7 @@

Classes - + @@ -122,6 +122,11 @@

Module Contents
class dacapo.compute_context.local_torch.ComputeContext
+

Helper class that provides a standard way to create an ABC using +inheritance.

+
+
+distribute_workers: bool | None

The ComputeContext class is an abstract base class for defining the context in which computations are to be done. It is inherited from the built-in class ABC (Abstract Base Classes). Other classes can inherit this class to define their own specific variations of the context. It requires to implement several property methods, and also includes @@ -154,6 +159,8 @@

Module ContentsNote

The class is abstract and requires to implement the abstract methods.

+

+
abstract property device
diff --git a/genindex.html b/genindex.html index 4d20e959..25aef512 100644 --- a/genindex.html +++ b/genindex.html @@ -2079,10 +2079,10 @@

_

  • (dacapo.experiments.datasplits.datasets.arrays.tiff_array_config.TiffArray attribute)
    • -
  • _wrap_command() (dacapo.compute_context.Bsub method), [1] +
  • _wrap_command() (dacapo.compute_context.Bsub method)
    • -
  • billing (dacapo.compute_context.Bsub attribute), [1] +
  • billing (dacapo.compute_context.Bsub attribute), [1]
  • BinarizeArray (class in dacapo.experiments.datasplits.datasets.arrays) @@ -7679,14 +7679,10 @@

    D

  • (dacapo.store.conversion_hooks.DummyTaskConfig attribute), [1]
    • -
  • device (dacapo.compute_context.Bsub attribute) +
  • device (dacapo.compute_context.Bsub property)
    • -
  • device() (dacapo.compute_context.Bsub method) +
  • device() (dacapo.compute_context.Bsub method)
    • -
  • num_gpus (dacapo.compute_context.Bsub attribute), [1] +
  • num_gpus (dacapo.compute_context.Bsub attribute), [1]
  • num_heads (dacapo.experiments.architectures.cnnectome_unet.CNNectomeUNet attribute) @@ -14234,10 +14234,10 @@

    P

    Q

    • ComputeContext

    The ComputeContext class is an abstract base class for defining the context in which computations are to be done.

    Helper class that provides a standard way to create an ABC using

    LocalTorch

    The LocalTorch class is a subclass of the ComputeContext class.

     @@ -16108,6 +16108,18 @@

    S

  • (in module dacapo.blockwise.segment_worker)
  • (in module dacapo.blockwise.threshold_worker) +
    • + +
  • start_worker_fn() (in module dacapo.blockwise.argmax_worker) + +
  • StartConfig (class in dacapo.experiments.run_config) @@ -18064,13 +18076,9 @@

    W

  • (dacapo.blockwise.scheduler.DaCapoBlockwiseTask attribute)
    • -
  • wrap_command() (dacapo.compute_context.Bsub method) +
  • wrap_command() (dacapo.compute_context.bsub.ComputeContext method), [1]
      -
    • (dacapo.compute_context.bsub.Bsub method) -
      • -
    • (dacapo.compute_context.bsub.ComputeContext method), [1] -
    • (dacapo.compute_context.compute_context.ComputeContext method), [1]
    • (dacapo.compute_context.ComputeContext method), [1] diff --git a/objects.inv b/objects.inv index 73807a85..15225c33 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/searchindex.js b/searchindex.js index 08eba7a7..337df5d5 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"API Reference": [[197, "api-reference"]], "Attributes": [[0, "attributes"], [1, "attributes"], [3, "attributes"], [5, "attributes"], [6, "attributes"], [7, "attributes"], [8, "attributes"], [9, "attributes"], [35, "attributes"], [41, "attributes"], [59, "attributes"], [61, "attributes"], [74, "attributes"], [86, "attributes"], [89, "attributes"], [98, "attributes"], [102, "attributes"], [105, "attributes"], [131, "attributes"], [133, "attributes"], [135, "attributes"], [136, "attributes"], [151, "attributes"], [166, "attributes"], [167, "attributes"], [170, "attributes"], [172, "attributes"], [173, "attributes"], [174, "attributes"], [178, 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119, 123, 126, 128, 140, 160, 177, 198], "block_id": 10, "block_siz": [91, 93, 106, 109, 117, 119, 123, 126, 128, 177], "blockwis": [0, 91, 93, 106, 109, 123, 126, 128, 171, 174, 177, 196, 197], "blockwise_task": [4, 197], "blog": 200, "blueprint": [84, 142, 151, 153, 155, 177], "blur": 193, "bool": [0, 1, 3, 5, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 70, 71, 73, 74, 76, 77, 81, 82, 84, 85, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 118, 119, 126, 128, 130, 131, 132, 133, 134, 135, 136, 139, 140, 141, 142, 143, 145, 147, 148, 151, 152, 153, 155, 156, 160, 162, 163, 164, 166, 168, 171, 173, 174, 175, 177, 178, 179, 180, 181, 184, 185, 186, 188, 189, 193, 194, 195, 196, 198], "bool_": [43, 53, 54, 151, 177], "boolean": [0, 1, 5, 8, 9, 16, 18, 20, 21, 22, 26, 27, 28, 29, 32, 34, 36, 38, 40, 41, 42, 43, 45, 47, 49, 51, 54, 56, 58, 60, 61, 62, 64, 66, 69, 71, 74, 76, 77, 81, 85, 92, 94, 96, 98, 105, 107, 108, 110, 118, 119, 126, 128, 130, 132, 139, 141, 142, 143, 151, 152, 153, 156, 174, 175, 177, 180, 185, 193, 196], "both": [69, 71, 74, 82, 84, 98, 106, 133, 134, 160, 177, 181, 186], "bound": [97, 98, 99, 100, 101, 102, 103, 104, 105, 140, 160, 177], "boundari": [3, 25, 27, 91, 94, 98, 106, 107, 108, 109, 130, 131, 132, 133, 134, 135, 136, 137, 140, 177], "browser": 199, "bsub": [13, 197], "build": [17, 18, 21, 142, 143, 153, 177], "build_batch_provid": [84, 142, 143, 151, 152, 153, 155, 177], "built": [11, 12, 13, 14, 15, 17, 19, 21, 83, 84, 177, 199], "c": [0, 17, 18, 21, 27, 30, 31, 33, 35, 37, 39, 41, 43, 44, 46, 48, 50, 52, 53, 55, 57, 59, 61, 63, 65, 70, 130, 131, 132, 133, 135, 136, 151, 163, 164, 177, 198], "cach": [0, 84, 173, 184, 188, 194], "calcul": [0, 3, 17, 25, 27, 30, 63, 65, 69, 70, 72, 75, 80, 91, 92, 93, 95, 98, 103, 104, 105, 106, 108, 109, 110, 111, 112, 114, 117, 131, 133, 134, 135, 136, 145, 160, 166, 168, 177, 184, 195], "calculate_and_apply_pad": 17, "call": [27, 28, 33, 34, 36, 43, 52, 74, 84, 86, 87, 88, 89, 90, 96, 98, 100, 102, 103, 105, 108, 130, 131, 132, 133, 135, 136, 140, 151, 164, 165, 168, 177, 178], "callabl": [1, 5, 6, 8, 9, 178], "caller": [175, 183], "can": [0, 7, 11, 12, 13, 14, 15, 17, 18, 19, 21, 22, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 81, 82, 83, 84, 85, 92, 93, 94, 96, 98, 100, 102, 103, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 121, 123, 124, 126, 128, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155, 160, 163, 166, 168, 173, 177, 178, 180, 184, 185, 188, 194, 195, 199, 200, 202, 203], "can_train": [84, 142, 143, 151, 152, 153, 155, 177], "candid": [98, 195], "cannot": [0, 43, 53, 54, 57, 58, 84, 85, 86, 93, 94, 95, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 140, 142, 143, 151, 152, 153, 155, 156, 160, 171, 177, 180, 185], "cardona": [18, 21, 177], "case": [33, 34, 43, 50, 51, 82, 84, 98, 108, 118, 160, 177, 181, 186, 203], "cattr": 178, "cel": 3, "cellmap": [200, 201], "center": [3, 17], "center_confidence_thr": 3, "central": [177, 178], "certain": [82, 84, 98, 130, 131, 132, 133, 134, 135, 136, 137, 140, 160, 181, 186], "chain": [82, 83, 84, 89, 130, 131, 132, 133, 135, 136, 142], "chang": [0, 93, 95, 106, 109, 111, 112, 113, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 140, 145, 160, 166, 168, 177, 203], "channel": [0, 1, 5, 8, 9, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 70, 74, 82, 83, 84, 86, 87, 88, 89, 90, 91, 93, 94, 97, 98, 103, 105, 106, 107, 108, 109, 110, 113, 114, 117, 119, 123, 126, 128, 130, 131, 132, 133, 134, 135, 136, 142, 151, 162, 163, 164, 168, 174, 175, 177, 196, 198], "channel1": [27, 28, 43, 50, 51, 93, 97, 98, 103, 106, 109, 177], "channel1__dic": [97, 98, 103, 177], "channel1__f1_scor": [97, 98, 103, 177], "channel1__hausdorff": [97, 98, 103, 177], "channel2": [43, 50, 51, 93, 97, 98, 103, 106, 109, 177], "channel_nam": [22, 23, 24, 25, 26, 28, 29, 30], "channel_scor": [97, 98, 103, 177], "channels_in": [19, 20, 21, 177], "channels_out": [19, 20, 21, 177, 198], "charact": [0, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 70, 71, 73, 74, 76, 77, 81, 92, 94, 96, 107, 108, 110, 118, 139, 141, 163, 177, 180, 185], "check": [0, 2, 4, 7, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 70, 71, 74, 76, 77, 81, 82, 84, 86, 87, 88, 92, 94, 96, 98, 100, 102, 103, 105, 107, 108, 110, 118, 126, 128, 130, 131, 132, 133, 135, 136, 139, 140, 141, 142, 143, 151, 152, 153, 155, 160, 163, 177, 179, 180, 181, 185, 186, 194], "check_class_nam": [74, 77, 177], "check_funct": [7, 126, 128], "checker": 194, "checkpoint": [86, 87, 88, 108, 139, 171, 177, 179, 184, 189, 196, 203], "child": [65, 66, 69, 177], "choic": 203, "choos": [85, 86, 87, 88, 90, 147, 148, 177, 202, 203], "chunk": [3, 43, 62, 74, 95, 119, 121, 123, 124, 126, 128, 140, 177, 200], "chunk_siz": [95, 119, 121, 123, 124, 126, 128, 140, 177], "cl": [35, 36, 38, 43, 96, 108, 177, 178], "class": [3, 191], "class1": [24, 25, 27, 30, 131, 133, 135, 136], "class2": [27, 30, 133, 136], "class_id": [130, 131, 133, 135, 191], "class_nam": [3, 74, 77, 177], "classes_channel": [86, 87, 88, 177], "classes_separator_caract": [74, 77, 177], "classif": [24, 33, 34, 43, 45, 51, 74, 117, 134, 136, 177], "classifi": 98, "classmethod": [0, 1, 5, 8, 9, 12, 43, 52, 53, 54, 61, 62, 74, 98, 105, 119, 126, 128, 130, 131, 132, 133, 135, 136, 151, 164, 171, 172, 174, 175, 177, 196], "clear": [145, 166, 168], "clearli": [66, 69, 76, 177], "cli": [1, 5, 6, 8, 9, 199], "client": [179, 185, 186], "clip": [93, 97, 98, 103, 106, 109, 130, 131, 133, 134, 135, 147, 148, 151, 152, 153, 177, 191, 203], "clip_dist": [93, 94, 98, 103, 106, 107, 108, 109, 110, 177], "clip_raw": [151, 152, 153, 177], "clipmax": [93, 94, 108, 130, 131, 133, 134, 135, 177, 191], "clipmin": [93, 94, 108, 130, 131, 133, 134, 135, 177, 191], "cloud": [43, 62, 74, 177, 200, 203], "cls_fn": [177, 178], "cls_fun": 177, "cluster": [3, 11, 13, 98, 195, 200, 203], "cluster_iou_thr": 3, "cnn": [19, 20, 21, 177], "cnnectom": [18, 21, 177], "cnnectome_unet": [21, 197], "cnnectome_unet_config": [21, 197], "cnnectomeunet": [17, 18, 21, 177], "cnnectomeunetconfig": [18, 21, 177, 203], "cnnectomeunetmodul": [17, 18, 21, 177], "co": 198, "code": [145, 166, 168], "coeffici": [93, 97, 98, 103, 106, 109, 177], "collaps": [151, 162, 168], "collect": [82, 84, 146, 160, 167, 168, 179, 180, 181, 184, 185, 186, 188], "color": [43, 48, 49, 177], "column": 195, "com": [18, 21, 43, 50, 51, 177, 201, 203], "combin": [0, 17, 33, 34, 43, 84, 93, 97, 98, 100, 102, 103, 105, 106, 109, 140, 173, 177, 184, 188, 194, 200, 202, 203], "combo": [98, 100, 102, 103, 105, 140, 177], "come": [175, 179, 183], "command": [11, 12, 13, 14, 198, 199, 200, 203], "common": [84, 86, 87, 88, 89, 90, 177], "commonli": [98, 202], "commun": 200, "compar": [82, 84, 92, 98, 100, 102, 103, 105, 108, 130, 131, 132, 133, 134, 135, 136, 137, 140, 160, 177, 179, 180, 181, 186, 195, 203], "comparison": [64, 66, 69, 71, 76, 81, 177, 185, 203], "complementari": [43, 50, 51, 177], "complet": [7, 128], "compon": [6, 84, 91, 92, 95, 96, 108, 142, 151, 152, 153, 155, 177, 202, 203], "compress": [43, 62, 74, 177], "comput": [1, 5, 6, 8, 9, 11, 12, 13, 14, 43, 46, 47, 74, 77, 82, 83, 84, 91, 93, 94, 95, 98, 100, 102, 103, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 130, 131, 132, 133, 134, 135, 136, 140, 142, 143, 153, 160, 172, 177, 181, 186, 189, 191, 195, 200, 203], "compute_context": [171, 172, 197], "compute_output_shap": [82, 83, 84, 130, 131, 132, 133, 135, 136, 142], "computecontext": [1, 5, 6, 8, 9, 11, 12, 13, 14, 189], "concat_arrai": [43, 197], "concat_array_config": [43, 197], "concatarrai": [35, 36, 43, 74, 177], "concatarrayconfig": [35, 36, 43, 74, 177], "concaten": [17, 35, 36, 43, 177], "concret": [176, 177, 178, 180, 185], "concurr": [43, 62, 74, 177, 179, 181], "conda": 200, "condit": [76, 77, 98, 177, 195], "confid": 3, "confidence_thr": 3, "config": [0, 5, 12, 16, 18, 20, 21, 32, 34, 35, 36, 38, 39, 40, 42, 43, 44, 45, 47, 49, 51, 54, 56, 58, 60, 62, 66, 67, 68, 69, 71, 74, 76, 77, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 92, 94, 96, 107, 108, 110, 118, 139, 141, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 156, 171, 172, 173, 174, 175, 176, 177, 179, 180, 183, 185, 189, 196, 202], "config_0": [179, 185], "config_fil": [12, 171, 172], "config_nam": [176, 179, 180, 185], "config_stor": [182, 197, 203], "configstor": [0, 5, 173, 174, 176, 179, 180, 185, 189, 196], "configur": [0, 3, 12, 16, 18, 20, 21, 32, 34, 36, 38, 40, 42, 43, 45, 47, 48, 49, 51, 54, 56, 58, 59, 60, 62, 64, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 80, 81, 82, 84, 85, 87, 88, 90, 92, 94, 96, 107, 108, 109, 110, 118, 120, 122, 123, 125, 127, 129, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 156, 160, 167, 168, 171, 172, 173, 176, 177, 179, 180, 184, 185, 188, 194, 200, 202, 203], "conjunct": 177, "connect": 193, "consecut": 105, "consensu": 3, "consid": [34, 43, 74, 85, 93, 94, 98, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 133, 134, 140, 143, 152, 153, 156, 177, 180, 185], "consist": [17, 18, 21, 82, 83, 84, 130, 131, 132, 133, 135, 136, 142, 177], "constant": [17, 18, 21, 98, 147, 149, 177], "constant_upsampl": [17, 18, 21, 177, 203], "constraint": [18, 21, 177], "construct": [106, 107, 108, 130, 146, 147, 177, 190], "constructor": [27, 28, 33, 34, 36, 43, 72, 74, 75, 76, 77, 80, 84, 177], "cont": 195, "contain": [0, 1, 5, 6, 7, 8, 9, 20, 21, 25, 27, 30, 33, 34, 43, 45, 50, 51, 53, 54, 62, 69, 70, 71, 72, 74, 75, 76, 77, 80, 81, 82, 84, 85, 91, 92, 94, 95, 96, 97, 98, 103, 107, 108, 110, 117, 118, 119, 121, 123, 124, 126, 128, 131, 133, 135, 136, 139, 140, 141, 142, 143, 145, 151, 152, 153, 156, 157, 158, 159, 160, 163, 165, 166, 168, 170, 171, 173, 174, 175, 177, 178, 179, 180, 181, 183, 184, 185, 186, 188, 193, 194, 195, 196, 197, 198], "container_id": 199, "context": [1, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 18, 21, 93, 106, 109, 123, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 140, 142, 143, 151, 152, 153, 172, 177, 189, 198, 200], "conting": 195, "contingency_t": 195, "continu": [82, 85, 180, 185, 202], "contribut": 195, "control": [145, 147, 166, 168, 177], "control_point_displacement_sigma": [145, 147, 166, 168, 177, 203], "control_point_spac": [145, 147, 166, 168, 177, 203], "conv": [17, 19, 20, 21, 177], "conv_pass": 17, "conveni": [175, 179, 183, 203], "convers": [177, 178], "conversion_hook": [182, 197], "convert": [39, 40, 43, 44, 45, 50, 51, 82, 84, 93, 95, 106, 109, 117, 119, 121, 123, 124, 126, 128, 130, 131, 132, 133, 134, 135, 136, 137, 140, 158, 160, 177, 180, 181, 182, 185, 186, 197, 200], "convolut": [17, 18, 19, 20, 21, 177, 202], "convolution_crop": 17, "convpass": 17, "convtranspos": [17, 18, 21, 177], "coordin": [0, 1, 5, 7, 8, 9, 15, 17, 18, 19, 20, 21, 27, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 69, 70, 71, 72, 74, 75, 77, 80, 82, 83, 84, 91, 92, 93, 98, 105, 106, 108, 109, 117, 119, 121, 123, 124, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 140, 142, 145, 147, 151, 158, 160, 163, 164, 166, 168, 174, 175, 177, 181, 184, 186, 190, 196, 203], "copi": [18, 21, 37, 38, 43, 54, 89, 151, 168, 177, 197, 203], "copy_kei": [151, 162, 168], "copy_mask": [151, 162, 168], "copymask": [151, 162, 168], "core": 3, "correct": [177, 178], "correctli": 98, "correspond": [17, 18, 21, 32, 33, 34, 36, 38, 40, 42, 43, 45, 47, 49, 51, 54, 56, 58, 60, 62, 66, 67, 68, 71, 74, 92, 94, 96, 98, 107, 108, 110, 118, 139, 141, 144, 145, 146, 147, 148, 149, 150, 152, 153, 177, 180, 185, 195, 203], "cosem": [43, 50, 51, 87, 88, 177, 200], "cosem_start": [88, 197], "cosem_start_config": [88, 197], "cosemstart": [86, 87, 88, 177], "cosemstartconfig": [87, 88, 177], "cost": [175, 179, 183], "could": [17, 26, 27, 94, 108, 110, 130, 132, 177], "count": [91, 93, 94, 95, 106, 107, 108, 109, 110, 117, 130, 131, 132, 133, 134, 135, 136, 137, 140, 177, 191, 195], "coupl": 203, "cpu": [11, 12, 13, 14, 82, 84, 85, 142, 151, 152, 153, 155, 177, 180, 185], "crash": [2, 4, 7, 126, 128], "creat": [0, 1, 5, 6, 8, 9, 11, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 40, 42, 43, 44, 45, 46, 47, 49, 51, 52, 53, 54, 56, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 80, 81, 82, 84, 91, 93, 95, 96, 98, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 142, 143, 145, 151, 152, 153, 155, 160, 164, 166, 168, 173, 174, 175, 177, 179, 180, 181, 183, 185, 186, 189, 193, 194, 196, 197, 200], "create_arrai": [35, 36, 38, 43, 46, 47, 49, 54, 56, 74, 177], "create_array_stor": [179, 189, 194, 196], "create_compute_context": [1, 5, 6, 8, 9, 12, 13, 189], "create_config_stor": [0, 5, 173, 174, 179, 189, 196, 203], "create_distance_mask": [93, 106, 131, 133, 134], "create_from_array_identifi": [0, 1, 5, 8, 9, 43, 61, 62, 74, 93, 98, 105, 106, 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