semvec/pypi-packages huggingface dataset:
pypeto 1.3.0
Tabular control of process variables from EPICS or liteServers
Requires Python: >=3.8

# pypeto
`pypeto` is a PyQt-based application designed for managing control screens for EPICS (Channel Access and PVAccess) and LiteServer devices. The architecture is modular, allowing for easy integration of various control pages through a tabbed interface.

- **Data Flow**:
  - The application communicates with EPICS and LiteServer devices to fetch and display process variables in real-time.
  - Configuration files are Python scripts that define the behavior and layout of control screens.

Features:
 - control of EPICS PVs and LiteServer PVs,
 - tabs: several control pages can be managed from one window,
 - automatic page generation for LiteServer devices,
 - single configuration file can be used for many similar devices,
 - configuration files are python scripts,
 - snapshots: control page can be saved and selectively restored from the saved snapshots,
 - embedding os displays from other programs to a range of cells,
 - plotting of selected cells using pvplot,
 - merged cells, adjustable size of rows and columns, fonts and colors,
 - horizontal and vertical slider widgets,
 - content-driven cell coloring,
 - slicing of vector parameters.

![simScope](./docs/pypeto_simScopePVA.png)

## Examples:
### Control of a simulated oscilloscope from EPICS PVAccess infrastructure:<br>
```
# Start server for a simulated ADC device 'epicsDev0'
python -m epicsdev.epicsdev -l
# Start control page ./test/picsdev_pp.py
python -m pypeto -c test -f epicsdev
```
### Control of a peak simulator from LiteServer infrastructure,
for more detalis see ![tests](./test/README.md):<br>
```
# Start the liteServer of a peak simulator
python -m liteserver.device.litePeakSimulator -i localhost -p9701
# Start control page ./test/simScope_pp.oy
python -m pypeto -c test -f peakSimPlot -e
```

### Two control pages in tabs:<br>
`python -m pypeto -c test -f peakSimLocal peakSimGlobal`

### Control of a simulated oscilloscope from EPICS Channel Access infrastructure 
[link](https://epics.anl.gov/modules/soft/asyn/R4-38/asynDriver.html#testAsynPortDriverApp):<br>
`python -m pypeto -c test -fsimScope -e`

See more examples in the test directory.
tdt 0.7.3
Tucker-Davis Technologies (TDT) Python APIs for reading data and interacting with Synapse software

# tdt

Tucker-Davis Technologies (TDT) Python APIs for reading data into Python and interacting with Synapse software

Usage
```python
import tdt

# download example data from https://www.tdt.com/files/examples/TDTExampleData.zip
tdt.download_demo_data()

# import data block into Python structure
data = tdt.read_block('data/Algernon-180308-130351')
print(data)
print(data.streams)
print(data.epocs)
```

See [SynapseAPI Manual PDF](https://www.tdt.com/files/manuals/SynapseAPIManual.pdf) for full SynapseAPI usage
```python
# connect to Synapse through SynapseAPI
import tdt
syn = tdt.SynapseAPI()
print(syn.getModeStr())
print(syn.getGizmoNames())
syn.setParameterValue('gizmo', 'parameter', new_value)
```
topsis-saumyakumari-102303161 1.0.2
Python package for TOPSIS method
Requires Python: >=3.6

# TOPSIS Python Package

This package implements the **TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)** method.

## Installation
pip install Topsis-SaumyaKumari-102303161

## Usage
topsis <InputDataFile> <Weights> <Impacts> <OutputFile>

## Example
topsis data.csv "1,1,1,1" "-,+,+,+" result.csv