semvec/pypi-packages huggingface dataset:
py-reflection 0.1.1
Rest API endpoint to automate Microfocus Reflection Desktop Workspace
Requires Python: >=3.7

# py_reflection

```

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```

Developed by - Prasun Bhattacharyya
Email - bhattacharyyaprasun47@gmail.com

 Rest API endpoint to automate Microfocus Reflection Desktop Workspace
 
 **All requests in this library should be GET only.
 
 How to start:
 
 1. Install the package via pip:
    ```
    py -m pip install py_reflection
    ```
    
 2. Run the package (Run the commands below in terminal):
    ```
    python
    >>>from py_reflection import app
    >>>app.run()
    ```
 
 Api Endpoint and their description:
 ** All of the endpoints have a common parameter view_idx(integer, optional). Use this parameter to toggle between session in emulator.
 
 1. /send_keys: Use this endpoint to press keys in the emulator.
                   Parameters to pass: text(string), x(integer), y(integer)
 
 2. /get_text: Use this endpoint to get text from a specific coordinate.
                   Parameters to pass: x(integer), y(integer)
 
 3. /press_key: Use this endpoint to press special control keys:
                   Parameters to pass: control_key(string all in caps).
                   Available control keys:
                    'F1','F2','F3','F4','F5','F6','F7','F8','F9','F10','F11','F12','F13','F14','F15','F16','F17','F18','F19','TAB','DELETE','LEFT','DOWN','UP','RIGHT','PAGEUP','PAGEDOWN','CLEAR','END','ENTER'
 
 4. /get_text_coordinates: Use this endpoint to get coordinates of text present in emulator screen.
                            Parameters to pass: text(string), total_row_count(integer, optional), total_column_count(integer, optional)
 
 5. /check_text_present: Use this endpoint to check if given text present in emulator screen.
                            Parameters to pass: text(string), total_row_count(integer, optional), total_column_count(integer, optional)
 
 6. /move_cursor: Use this endpoint to move cursor to specified coordinate.
                        Parameters to pass: x(integer), y(integer)
                        
 7. /get_view_count: Use this endpoint to get number of sessions opened in emulator.

Link to GitHub: https://github.com/prasun1060/py_reflection
tokenization-layer 0.0.2
An NLP tokenization algorithm that is a trainable layer for neural networks.
Requires Python: >=3.6
Keywords: natural-language-processing,research,neural-networks,tokenization,tensorflow2

This is a package for a concept about a tokenization algorithm that is a neural network layer, training as part of a model trying to solve some NLP task, to make tokens that are best for the task. You can find more information on the [GitHub repository](https://github.com/martinm07/tokenization-layer).

#

<img src="https://imgur.com/gxxJtjz.png">

#

This package mainly consists of the `TokenizationLayer`, which is a `tf.keras` layer doing the described above. However it also contains initializers for the layer's parameter, a function for one-hot encoding a string as letters, and an Embedding layer, that doesn't have to be the first layer in the network unlike the official keras version.

Documentation for this package is [here](https://martin-github07.gitbook.io/tokenization-layer/).