Merge remote-tracking branch 'origin/master' into v2.1.0-dev
This commit is contained in:
commit
6476778673
13 changed files with 142 additions and 41 deletions
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@ -0,0 +1,41 @@
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from labthings.server.extensions import BaseExtension
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from labthings.server.find import find_component
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# Create the extension class
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class MyExtension(BaseExtension):
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def __init__(self):
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# Create some instance variable
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self.state_variable = "An example of a persistant instance variable"
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# Superclass init function
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super().__init__("com.myname.myextension", version="0.0.0")
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def identify(self):
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"""
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Demonstrate access to Microscope.camera, and Microscope.stage
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"""
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microscope = find_component("org.openflexure.microscope")
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response = (
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f"My name is {microscope.name}. "
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f"My parent camera is {microscope.camera}, "
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f"and my parent stage is {microscope.stage}."
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)
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return response
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def rename(self, new_name):
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"""
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Rename the microscope
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"""
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microscope = find_component("org.openflexure.microscope")
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microscope.name = new_name
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microscope.save_settings()
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# Create your extension object
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my_extension = MyExtension()
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53
docs/source/extensions/lifecycle_hooks.rst
Normal file
53
docs/source/extensions/lifecycle_hooks.rst
Normal file
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@ -0,0 +1,53 @@
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Lifecycle Hooks
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===============
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Introduction
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------------
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In some cases it is useful to have functions triggered by events in an extensions lifecycle. Currently two such lifecycle events can be used, ``on_register``, and ``on_component``.
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``on_register``
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---------------
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The ``on_register`` method can be used to have a function call as soon as the extension has been successfully registered to the microscope. For example:
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.. code-block:: python
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class MyExtension(BaseExtension):
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def __init__(self):
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# Track if the extension has been registered
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self.registered = False
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# Add lifecycle hooks
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self.on_register(self.on_register_handler, args=(), kwargs={})
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# Superclass init function
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super().__init__("com.myname.myextension", version="0.0.0")
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def on_register_handler(self, *args, **kwargs):
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self.registered = True
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print("Extension has been registered!")
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``on_component``
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----------------
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The ``on_component`` method can be used to have a function call as soon as a particular LabThings component has been added. This can be used, for example, to get information about the microscope instance as soon as it is available. For example:
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.. code-block:: python
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class MyExtension(BaseExtension):
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def __init__(self):
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# Hold a reference to the microscope object as soon as it is available
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self.microscope = None
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# Add lifecycle hooks
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self.on_component("com.myname.myextension", self.on_microscope_handler)
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# Superclass init function
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super().__init__("org.openflexure.microscope", version="0.0.0")
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def on_microscope_handler(self, microscope_object):
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print("Microscope object has been found!")
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self.microscope = microscope_object
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@ -4,7 +4,7 @@ Basic extension structure
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An extension starts as a simple instance of :py:class:`labthings.server.extensions.BaseExtension`.
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Each extension is described by a single ``BaseExtension`` instance, containing any number of methods, API views, and additional hardware components.
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In order to access the currently running microscope object, use the :py:func:`labthings.server.find` function, with the argument ``"org.openflexure.microscope"``. Likewise, any new components attached by other extensions can be found using their full name, as above.
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In order to access the currently running microscope object, use the :py:func:`labthings.server.find.find_component` function, with the argument ``"org.openflexure.microscope"``. Likewise, any new components attached by other extensions can be found using their full name, as above.
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A simple extension file, with no API views but application-available methods may look like:
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@ -23,4 +23,14 @@ Once this extension is loaded, any other extensions will have access to your met
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# Call a function from your extension
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if my_found_extension:
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my_found_extension.identify()
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my_found_extension.identify()
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Subclassing ``BaseExtension``
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-------------------------------
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The syntax used above allows novice programmers to easily start building extensions, without having to deal with subclassing. However, for more complex extensions which require persistent state, subclassing :py:class:`labthings.server.extensions.BaseExtension` is recommended.
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The same simple extension as seen above can be written using subclassing:
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.. literalinclude:: ./example_extension/01b_basic_structure_subclass.py
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@ -20,15 +20,15 @@ Request arguments
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For POST and PUT requests, data usually needs to be provided to the view in order to perform its function. In this example, our ``rename`` view requires a new microscope name to be passed. We make use of the ``@use_body`` decorator to provide this functionality.
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``@use_body`` defines the type of data expected in the request body. In this example, we ``String`` type data. The arguments of ``fields.String`` allow us to provide additional information, such as the parameter being required, and example values to appear in API documentation.
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``@use_body`` defines the type of data expected in the request body. In this example, we use ``String`` type data. The arguments of ``fields.String`` allow us to provide additional information, such as the parameter being required, and example values to appear in API documentation.
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Adding additional fields, and the meaning of the field types, will be discussed further in the next section.
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When a POST request is made to our API view, the request body is converted to processed by ``@use_body``, and passed as a positional argument to our ``post`` function.
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When a POST request is made to our API view, the ``@use_body`` converts the body of the request into a ``String``, and passes it as a positional argument to our ``post`` function.
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|
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Swagger documentation
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+++++++++++++++++++++
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At this point, it is useful to introduce the automatically generated Swagger documentation. From any web browser, go to ``http://microscope.local/api/v2/swagger-ui`` (or replace ``microscope.local`` with your microscopes IP address on incompatible systems).
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At this point, it is useful to introduce the automatically generated Swagger documentation. From any web browser, go to ``http://microscope.local/api/v2/swagger-ui`` (or replace ``microscope.local`` with your microscope's IP address if ``microscope.local`` doesn't work for your system).
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This page uses `SwaggerUI <https://swagger.io/tools/swagger-ui/>`_ to provide visual, interactive API documentation. Find your extensions URL in the documentation under the ``extensions`` group. Basic documentation about the parameters required for your POST method should be visible, as well as an interactive example filled out with the example request given in ``@use_body``.
|
||||
This page uses `SwaggerUI <https://swagger.io/tools/swagger-ui/>`_ to provide visual, interactive API documentation. Find your extensions URL in the documentation under the ``extensions`` group. Basic documentation about the parameters required for your POST method should be visible, as well as an interactive example filled out with the example request given in ``@use_body``.
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@ -11,4 +11,5 @@ Developing API Extensions
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./extensions/properties.rst
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./extensions/actions.rst
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./extensions/tasks_locks.rst
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./extensions/ev_gui.rst
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./extensions/ev_gui.rst
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./extensions/lifecycle_hooks.rst
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@ -21,6 +21,6 @@ For offline (i.e. no real microscope connected) development, a basic development
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Managing the server
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-------------------
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Managing the server through the installer script's CLI is documented `on our website <https://openflexure.org/projects/microscope/install/#managing-the-microscope-server>`_.
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Managing the server through the installer script's CLI is documented `on our website <https://openflexure.org/projects/microscope/install#managing-the-microscope-server>`_.
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This includes starting the server as a background service, as well as starting a development server with real-time debug logging.
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@ -359,7 +359,7 @@ class FastAutofocusAPI(View):
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autofocus_extension_v2 = BaseExtension(
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"org.openflexure.autofocus", version="2.0.0-beta.1"
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"org.openflexure.autofocus", version="2.0.0"
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)
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autofocus_extension_v2.add_method(fast_autofocus, "fast_autofocus")
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@ -88,7 +88,7 @@ class AutostorageExtension(BaseExtension):
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BaseExtension.__init__(
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self,
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"org.openflexure.autostorage",
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version="2.0.0-beta.1",
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version="2.0.0",
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||||
description="Handle switching capture storage devices",
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||||
)
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||||
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||||
|
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@ -354,6 +354,6 @@ class TileScanAPI(View):
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return task
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||||
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scan_extension_v2 = BaseExtension("org.openflexure.scan", version="2.0.0-beta.1")
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scan_extension_v2 = BaseExtension("org.openflexure.scan", version="2.0.0")
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scan_extension_v2.add_view(TileScanAPI, "/tile")
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@ -202,7 +202,7 @@ class ZipGetterAPIView(View):
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zip_extension_v2 = BaseExtension(
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"org.openflexure.zipbuilder",
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version="2.0.0-beta.1",
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version="2.0.0",
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||||
description="Build and download capture collections as ZIP files",
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||||
)
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||||
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||||
|
|
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|||
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@ -531,6 +531,7 @@ class PiCameraStreamer(BaseCamera):
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# Set resolution and stop stream recording if necessary
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if not use_video_port:
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self.stop_stream_recording()
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time.sleep(0.1)
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self.camera.capture(
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target,
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@ -540,6 +541,7 @@ class PiCameraStreamer(BaseCamera):
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bayer=(not use_video_port) and bayer,
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use_video_port=use_video_port,
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)
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time.sleep(0.1)
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# Set resolution and start stream recording if necessary
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if not use_video_port:
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||||
|
|
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|||
50
poetry.lock
generated
50
poetry.lock
generated
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@ -324,7 +324,7 @@ description = "NumPy is the fundamental package for array computing with Python.
|
|||
name = "numpy"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
version = "1.18.1"
|
||||
version = "1.18.2"
|
||||
|
||||
[[package]]
|
||||
category = "dev"
|
||||
|
|
@ -355,7 +355,6 @@ test = ["coverage", "pytest", "mock", "pillow", "numpy"]
|
|||
reference = "79177fa7f28d6d5c6eab5ba814b420b1785b6b24"
|
||||
type = "git"
|
||||
url = "https://github.com/rwb27/picamera.git"
|
||||
|
||||
[[package]]
|
||||
category = "main"
|
||||
description = "Python Imaging Library (Fork)"
|
||||
|
|
@ -915,11 +914,6 @@ markupsafe = [
|
|||
{file = "MarkupSafe-1.1.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:ba59edeaa2fc6114428f1637ffff42da1e311e29382d81b339c1817d37ec93c6"},
|
||||
{file = "MarkupSafe-1.1.1-cp37-cp37m-win32.whl", hash = "sha256:b00c1de48212e4cc9603895652c5c410df699856a2853135b3967591e4beebc2"},
|
||||
{file = "MarkupSafe-1.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:9bf40443012702a1d2070043cb6291650a0841ece432556f784f004937f0f32c"},
|
||||
{file = "MarkupSafe-1.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6788b695d50a51edb699cb55e35487e430fa21f1ed838122d722e0ff0ac5ba15"},
|
||||
{file = "MarkupSafe-1.1.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:cdb132fc825c38e1aeec2c8aa9338310d29d337bebbd7baa06889d09a60a1fa2"},
|
||||
{file = "MarkupSafe-1.1.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:13d3144e1e340870b25e7b10b98d779608c02016d5184cfb9927a9f10c689f42"},
|
||||
{file = "MarkupSafe-1.1.1-cp38-cp38-win32.whl", hash = "sha256:596510de112c685489095da617b5bcbbac7dd6384aeebeda4df6025d0256a81b"},
|
||||
{file = "MarkupSafe-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:e8313f01ba26fbbe36c7be1966a7b7424942f670f38e666995b88d012765b9be"},
|
||||
{file = "MarkupSafe-1.1.1.tar.gz", hash = "sha256:29872e92839765e546828bb7754a68c418d927cd064fd4708fab9fe9c8bb116b"},
|
||||
]
|
||||
marshmallow = [
|
||||
|
|
@ -931,27 +925,27 @@ mccabe = [
|
|||
{file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
|
||||
]
|
||||
numpy = [
|
||||
{file = "numpy-1.18.1-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:20b26aaa5b3da029942cdcce719b363dbe58696ad182aff0e5dcb1687ec946dc"},
|
||||
{file = "numpy-1.18.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:70a840a26f4e61defa7bdf811d7498a284ced303dfbc35acb7be12a39b2aa121"},
|
||||
{file = "numpy-1.18.1-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:17aa7a81fe7599a10f2b7d95856dc5cf84a4eefa45bc96123cbbc3ebc568994e"},
|
||||
{file = "numpy-1.18.1-cp35-cp35m-win32.whl", hash = "sha256:f3d0a94ad151870978fb93538e95411c83899c9dc63e6fb65542f769568ecfa5"},
|
||||
{file = "numpy-1.18.1-cp35-cp35m-win_amd64.whl", hash = "sha256:1786a08236f2c92ae0e70423c45e1e62788ed33028f94ca99c4df03f5be6b3c6"},
|
||||
{file = "numpy-1.18.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:ae0975f42ab1f28364dcda3dde3cf6c1ddab3e1d4b2909da0cb0191fa9ca0480"},
|
||||
{file = "numpy-1.18.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:cf7eb6b1025d3e169989416b1adcd676624c2dbed9e3bcb7137f51bfc8cc2572"},
|
||||
{file = "numpy-1.18.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:b765ed3930b92812aa698a455847141869ef755a87e099fddd4ccf9d81fffb57"},
|
||||
{file = "numpy-1.18.1-cp36-cp36m-win32.whl", hash = "sha256:2d75908ab3ced4223ccba595b48e538afa5ecc37405923d1fea6906d7c3a50bc"},
|
||||
{file = "numpy-1.18.1-cp36-cp36m-win_amd64.whl", hash = "sha256:9acdf933c1fd263c513a2df3dceecea6f3ff4419d80bf238510976bf9bcb26cd"},
|
||||
{file = "numpy-1.18.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:56bc8ded6fcd9adea90f65377438f9fea8c05fcf7c5ba766bef258d0da1554aa"},
|
||||
{file = "numpy-1.18.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:e422c3152921cece8b6a2fb6b0b4d73b6579bd20ae075e7d15143e711f3ca2ca"},
|
||||
{file = "numpy-1.18.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b3af02ecc999c8003e538e60c89a2b37646b39b688d4e44d7373e11c2debabec"},
|
||||
{file = "numpy-1.18.1-cp37-cp37m-win32.whl", hash = "sha256:d92350c22b150c1cae7ebb0ee8b5670cc84848f6359cf6b5d8f86617098a9b73"},
|
||||
{file = "numpy-1.18.1-cp37-cp37m-win_amd64.whl", hash = "sha256:77c3bfe65d8560487052ad55c6998a04b654c2fbc36d546aef2b2e511e760971"},
|
||||
{file = "numpy-1.18.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c98c5ffd7d41611407a1103ae11c8b634ad6a43606eca3e2a5a269e5d6e8eb07"},
|
||||
{file = "numpy-1.18.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:9537eecf179f566fd1c160a2e912ca0b8e02d773af0a7a1120ad4f7507cd0d26"},
|
||||
{file = "numpy-1.18.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:e840f552a509e3380b0f0ec977e8124d0dc34dc0e68289ca28f4d7c1d0d79474"},
|
||||
{file = "numpy-1.18.1-cp38-cp38-win32.whl", hash = "sha256:590355aeade1a2eaba17617c19edccb7db8d78760175256e3cf94590a1a964f3"},
|
||||
{file = "numpy-1.18.1-cp38-cp38-win_amd64.whl", hash = "sha256:39d2c685af15d3ce682c99ce5925cc66efc824652e10990d2462dfe9b8918c6a"},
|
||||
{file = "numpy-1.18.1.zip", hash = "sha256:b6ff59cee96b454516e47e7721098e6ceebef435e3e21ac2d6c3b8b02628eb77"},
|
||||
{file = "numpy-1.18.2-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:a1baa1dc8ecd88fb2d2a651671a84b9938461e8a8eed13e2f0a812a94084d1fa"},
|
||||
{file = "numpy-1.18.2-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:a244f7af80dacf21054386539699ce29bcc64796ed9850c99a34b41305630286"},
|
||||
{file = "numpy-1.18.2-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:6fcc5a3990e269f86d388f165a089259893851437b904f422d301cdce4ff25c8"},
|
||||
{file = "numpy-1.18.2-cp35-cp35m-win32.whl", hash = "sha256:b5ad0adb51b2dee7d0ee75a69e9871e2ddfb061c73ea8bc439376298141f77f5"},
|
||||
{file = "numpy-1.18.2-cp35-cp35m-win_amd64.whl", hash = "sha256:87902e5c03355335fc5992a74ba0247a70d937f326d852fc613b7f53516c0963"},
|
||||
{file = "numpy-1.18.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:9ab21d1cb156a620d3999dd92f7d1c86824c622873841d6b080ca5495fa10fef"},
|
||||
{file = "numpy-1.18.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:cdb3a70285e8220875e4d2bc394e49b4988bdb1298ffa4e0bd81b2f613be397c"},
|
||||
{file = "numpy-1.18.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:6d205249a0293e62bbb3898c4c2e1ff8a22f98375a34775a259a0523111a8f6c"},
|
||||
{file = "numpy-1.18.2-cp36-cp36m-win32.whl", hash = "sha256:a35af656a7ba1d3decdd4fae5322b87277de8ac98b7d9da657d9e212ece76a61"},
|
||||
{file = "numpy-1.18.2-cp36-cp36m-win_amd64.whl", hash = "sha256:1598a6de323508cfeed6b7cd6c4efb43324f4692e20d1f76e1feec7f59013448"},
|
||||
{file = "numpy-1.18.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:deb529c40c3f1e38d53d5ae6cd077c21f1d49e13afc7936f7f868455e16b64a0"},
|
||||
{file = "numpy-1.18.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:cd77d58fb2acf57c1d1ee2835567cd70e6f1835e32090538f17f8a3a99e5e34b"},
|
||||
{file = "numpy-1.18.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b1fe1a6f3a6f355f6c29789b5927f8bd4f134a4bd9a781099a7c4f66af8850f5"},
|
||||
{file = "numpy-1.18.2-cp37-cp37m-win32.whl", hash = "sha256:2e40be731ad618cb4974d5ba60d373cdf4f1b8dcbf1dcf4d9dff5e212baf69c5"},
|
||||
{file = "numpy-1.18.2-cp37-cp37m-win_amd64.whl", hash = "sha256:4ba59db1fcc27ea31368af524dcf874d9277f21fd2e1f7f1e2e0c75ee61419ed"},
|
||||
{file = "numpy-1.18.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:59ca9c6592da581a03d42cc4e270732552243dc45e87248aa8d636d53812f6a5"},
|
||||
{file = "numpy-1.18.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:1b0ece94018ae21163d1f651b527156e1f03943b986188dd81bc7e066eae9d1c"},
|
||||
{file = "numpy-1.18.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:82847f2765835c8e5308f136bc34018d09b49037ec23ecc42b246424c767056b"},
|
||||
{file = "numpy-1.18.2-cp38-cp38-win32.whl", hash = "sha256:5e0feb76849ca3e83dd396254e47c7dba65b3fa9ed3df67c2556293ae3e16de3"},
|
||||
{file = "numpy-1.18.2-cp38-cp38-win_amd64.whl", hash = "sha256:ba3c7a2814ec8a176bb71f91478293d633c08582119e713a0c5351c0f77698da"},
|
||||
{file = "numpy-1.18.2.zip", hash = "sha256:e7894793e6e8540dbeac77c87b489e331947813511108ae097f1715c018b8f3d"},
|
||||
]
|
||||
packaging = [
|
||||
{file = "packaging-20.3-py2.py3-none-any.whl", hash = "sha256:82f77b9bee21c1bafbf35a84905d604d5d1223801d639cf3ed140bd651c08752"},
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ build-backend = "poetry.masonry.api"
|
|||
|
||||
[tool.poetry]
|
||||
name = "openflexure_microscope"
|
||||
version = "2.0.0-beta.6"
|
||||
version = "2.0.0"
|
||||
description = "Python module, and Flask-based web API, to run the OpenFlexure Microscope."
|
||||
|
||||
authors = [
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue