opto | Python interface to Optotune focus-tunable lenses

 by   OrganicIrradiation Python Version: 0.1 License: MIT

kandi X-RAY | opto Summary

kandi X-RAY | opto Summary

opto is a Python library. opto has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install opto' or download it from GitHub, PyPI.

Python interface to Optotune focus-tunable lenses
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            kandi-support Support

              opto has a low active ecosystem.
              It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              opto has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of opto is 0.1

            kandi-Quality Quality

              opto has 0 bugs and 6 code smells.

            kandi-Security Security

              opto has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              opto code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              opto is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              opto releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 313 lines of code, 33 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed opto and discovered the below as its top functions. This is intended to give you an instant insight into opto implemented functionality, and help decide if they suit your requirements.
            • Set current mode
            • Send a command to the device
            • Calculate the CRC of the data
            • Return the part number
            • Returns the serial number
            • Return the device id
            • Get the current status
            • Return the current temperature reading
            • Return the EEProm contents
            • Return the analog input
            • Return the firmware version
            • Read an EEProm command
            • Write a value to an EEProm
            • Set the signal frequency
            • Get current high value
            • Get current low value
            • Get current maximum value
            • Get temp limits
            • Set the high signal upper
            • Set signal s siggen lower value
            • Set the focal power
            • Get the gain
            Get all kandi verified functions for this library.

            opto Key Features

            No Key Features are available at this moment for opto.

            opto Examples and Code Snippets

            No Code Snippets are available at this moment for opto.

            Community Discussions

            QUESTION

            How is the count of method executions that triggers the omitted exception stack frames calculated in JDK 8?
            Asked 2022-Mar-06 at 23:55

            JDK version:

            ...

            ANSWER

            Answered 2022-Mar-06 at 23:55

            It's indeed interesting why a small change causes such a big difference, however, the answer is not simple at all.

            First off, a Java method may run in the interpreter or get JIT compiled. In the tiered compilation mode (default), a method may be compiled multiple times with a different level of optimization.

            OmitStackTraceInFastThrow optimization applies only to C2 compiled code (the highest tier). While a method is interpreted or C1 compiled, NPE will always have a stack trace regardless of the number of iterations. So the problem boils down to the question how fast the method gets compiled by C2. It's hard to predict the number though, because the JIT compilation policy is quite complex, involving many factors.

            Let's consider a simplified example:

            Source https://stackoverflow.com/questions/71318011

            QUESTION

            Adjusting text in tkinter Label to occupy all available space
            Asked 2021-Aug-26 at 05:36

            Hy, I hope you are all doing well. I am building a Eye chart software in python tkinter which consists of Opto Charts. In Opto Charts all alphabet comes directly below each other. But when I try to add labels in tkinter, it forms V shape as with each row font size is decreasing. I want to occupy the label all the available space.

            I managed to do that using mainFrame.rowconfigure(0, weight=1) but it only makes the label to full width not the text inside it. I have attached a screenshot for how it looks. In the screenshot you can see the labels are set to full length of screen but text is in V shape as font size is decreasing from top to bottom. Is there a way to anchor the text to full width also. In others words each alphabet should come directly below the above one.

            I hope I was clear, If you need to know anything else let me know.

            ...

            ANSWER

            Answered 2021-Aug-26 at 05:36

            If an image or bitmap is being displayed in the label then the value is in screen units; for text it is in characters.

            To occupy same space for different size of font, try to use image mode and use an empty image.

            Source https://stackoverflow.com/questions/68926927

            QUESTION

            Is there a way to make a plot clickable so it will tell me what EEG channel I am looking at?
            Asked 2021-Apr-16 at 22:55

            Note: This is a question relating to mouse EEG data plotting.

            I made a plot showing the averaged trial signals for filtered EEG electrode channels. While plotting this I saw a few signals that I want to exclude from my plot, but I don't have a way to tell what channels were plotted. Is there a way to add something that would allow me to click on or hover over one of the plotted lines/channels and have my jupyter notebook tell me what channel I clicked/am hovering over?

            This is the plot I am hoping to make clickable:

            Here is the code I used to make the plots if that's helpful:

            ...

            ANSWER

            Answered 2021-Apr-16 at 22:55

            You can add a label to each of the curves and then use mplcursors to show an annotation while hovering (or when clicking with hover=False).

            Note that to have an interactive plot in a Jupyter notebook, %matplotlib notebook (this might depend on how Jupyter is installed) is needed instead of just %matplotlib inline (which generates static images). See Docs.

            Here is an example showing the general idea with some test data:

            Source https://stackoverflow.com/questions/67132042

            QUESTION

            Get partial view models in submit action of parent
            Asked 2020-Sep-07 at 06:14

            I can add multiple partialview dynamically into my page like this

            Create.cshtml

            ...

            ANSWER

            Answered 2020-Sep-07 at 06:14

            The key to list object binding is ensuring that a sequential index in square brackets is added to the form field's name attribute e.g [0].PackFactor.

            In your case, you can make the rowNum as the index.

            Create.csthml

            Source https://stackoverflow.com/questions/63771656

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install opto

            You can install using 'pip install opto' or download it from GitHub, PyPI.
            You can use opto like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install opto

          • CLONE
          • HTTPS

            https://github.com/OrganicIrradiation/opto.git

          • CLI

            gh repo clone OrganicIrradiation/opto

          • sshUrl

            git@github.com:OrganicIrradiation/opto.git

          • Download

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