semvec/pypi-packages huggingface dataset:
macro-creator 1.0.5
The best and most accurate macro recorder for Windows. Easy to use and open source.
License: MIT
Requires Python: >=3.6

# Macro Recorder

The best and most accurate macro recorder for Windows.\
Easy to use and open source.

### Record
```python
from macro_creator import Recorder

my_recorder = Recorder()
my_recorder.record()

my_recorder.save("my_macro.json")
```

### Run
```python
from macro_creator import Recorder

my_recorder = Recorder()
my_recorder.load("my_macro.json")

my_recorder.play(speed_factor=1.5, only_essential_moves=False)
```
MacroRecorder 1.0.3
The best and most accurate macro recorder for Windows. Easy to use and open source.
License: MIT
Requires Python: >=3.6

# Macro Recorder

The best and most accurate macro recorder for Windows.\
Easy to use and open source.

### Record
```python
from macro_recorder import Recorder

my_recorder = Recorder()
my_recorder.record()

my_recorder.save("my_macro.json")
```

### Run
```python
from macro_recorder import Recorder

my_recorder = Recorder()
my_recorder.load("my_macro.json")

my_recorder.play(speed_factor=1.5, only_essential_moves=False)
```
pydrawio 1.1.0
pydrawio: manage draw.io file
License: MIT
Requires Python: >=3.7

# Pydrawio
## Quick Start
```
~$ pip install pydrawio
```
## Usage
### MxGraphModel
```
        # get compressed string from Mxfile or Mxlibrary
        compressed = 'lJI9b8MgGIR/DWMlA1WaDl5i5WNIl2ZIOyLz1iDxJUJip7++ChCMoizdfA9nOO4F0U5PW8+c+LAcFCINn1pECMbNAhFy09ebXuJlkoOXPBpmeZC/EFGT2VlyOFWmYK0K0tWot8ZAHyrCvLdjbfmxqj7JsQEe5KFn6pEdJQ8iJiZvM92BHEQ6DS/eE9csGXPqk2DcjgXQNaKdtzakLz11oG71pNvPFkQ2ee2ZrwTzYMJ/foRud/naD+bTuOG4N99yp8lL3u3C1DleOwcP19SCt2fDgbcNoqtRyAAHx3poR88coisRtGoxoqvHSPddwQeYCsihtmA1BH9FpIlrZcjxVeDXrMZ76/hepyiNLzJhcbhD2bDuoRzzrBpENvMgkn1+sHT9BwAA//8BAAD//w=='
        mxgraphmodel = decompress(compressed)
        # processing mxgraphmodel
        mxgraphmodel.compress()
```
### Mxlibrary
```
        # create Mxlibrary instance
        mxlibrary = Mxlibrary() # or Mxlibrary(Mxlibrary_file_contents)
        # make mxlibobject
        mxlibobj1 = mxlibrary.make_mxlibobject(mxgraphmodel, 'test_lib_1',  25, 25)
        mxlibobj2 = mxlibrary.make_mxlibobject(mxgraphmodel, 'test_lib_2',  25, 25)
        # set Mxlibobject
        mxlibrary.set_mxlibobject([ mxlibobj1, mxlibobj2 ])
        # write mxlibrary file
        mxlibrary.write(filepath)
        
        # get Mxlibobject
        mxlibobj = json.loads(mxlibrary.value)
        for mxlibobj in mxlibobjs:
            mxlibobj = Mxlibobject(**mxlibobj)
```
### Mxfile
```
        mxfile = Mxfile() # or Mxfile(Mxfile_file_contents)
        # get MxGraphModel from Mxfile
        compressed = mxfile.diagram[0].value
        mxgraphmodel = decompress(compressed)

        # processing MxGraphModel

        # write mxfile file
        mxfile.write(filepath)
```