semvec/pypi-packages huggingface dataset:
pyTEMlib 0.2026.1.3
pyTEM: TEM Data Quantification library through a model-based approach
Requires Python: >=3.9
Keywords: imaging, spectra, transmission, electron, microscopy, scientific, scanning, eels, visualization, processing, storage, hdf5, diffraction

pyTEMlib
========

.. image:: https://github.com/pycroscopy/pyTEMlib/workflows/build/badge.svg?branch=master
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    :alt: GitHub Actions

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    :target: https://pypi.org/project/pyTEMlib/
    :alt: PyPI
    
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    :alt: conda-forge

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    :target: https://codecov.io/gh/pycroscopy/pyTEMlib
    :alt: CodeCov

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    :alt: Downloads

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   :alt: DOI

pyTEMlib is a package to read and process various kind of data acquired with a (scanning) transmission electron microscope (STEM).

The package is written in pure python and depends on various other libraries.

All data, user input, and results are stored as `NSID-formatted <https://pycroscopy.github.io/pyNSID/nsid.html>`_ HDF5 files.

The data are all presented as `sidpy.Dataset <https://pycroscopy.github.io/sidpy/notebooks/00_basic_usage/create_dataset.html>`_ objects

Install pyTEMlib via pip as:

``python3 -m pip install pyTEMlib``

or via conda:

``conda install pyTEMlib -c conda-forge``

These installation options are also available in the `example notebooks <https://github.com/pycroscopy/pyTEMlib/notebooks>`_
nightforo 1.1.4
API wrapper for Arizona Guard written in Python
Requires Python: >=3.8

# NightForo
API wrapper for Arizona Guard written in Python

## Установка

### Установка через pip
```bash
pip install nightforo
```

### Установка через uv
```bash
uv add nightforo
```

## Примеры использования

Примеры кода находятся в директории [examples](https://github.com/nightcore-team/NightForo/tree/main/examples)
adamspy 0.32.0
Python tools for working with Adams data

# adamspy
![PyPI - Downloads](https://img.shields.io/pypi/v/adamspy)
![PyPI - Downloads](https://img.shields.io/pypi/dm/adamspy)

adamspy is a python package designed for CAE analysts who use [Adams](https://links.savvyanalyst.xyz/adams) to 
automate manipulation of files and data outside of the Adams environment.


> [!TIP]
> See [aviewpy](https://github.com/bthornton191/aviewpy) for a library that workis _inside_ the Adams View environment.

## Installation
```
pip install adamspy
```

## Setting Environment variables
Before importing adamspy into your python script you need to set some environment variables to allow adamspy to communicate with your adams installation. Here are the the environment variables you need to set.

|Variable              | Value                                                                                         |           |
|----------------------|-----------------------------------------------------------------------------------------------|-----------|
|ADRILL_USER_CFG       | Full path to the user adrill cfg file *(e.g. C:\users\user_name.adrill.cfg)*                  | Optional  |
|ADRILL_SHARED_CFG     | Full path to the shared adrill cfg file *(e.g. C:\MSC.Software\Adams\2018\adrill\adrill.cfg)* | Optional  |
|ADAMS_LAUNCH_COMMAND  | Full path to the adams launch command *(e.g. C:\MSC.Software\Adams\2018\common\mdi.bat)*      |           |

## Usage

The `adamspy.postprocess` package and its submodules likely contain the most useful tools in this library. 

Here is an example of getting results from an Adams results .res file
```python
from adamspy.postprocess.ppt import get_results
result_file = 'example.res'
t_min = 70
t_max = 80
reqs_to_get = {}
reqs_to_get['MSE'] = ['Instantaneous_Bottom_MSE', 'Filtered_Surface_MSE']
reqs_to_get['ROP_controls'] = ['Command_ROP', 'True_WOB']
requests, units = get_results(result_file, reqs_to_get, t_min, t_max)
```

## Adams Drill

The `adamspy.adripy` package contains tools for automating Adams drill.

> [!NOTE]
> Adams Drill was discontinued in 2023 

Please see the documentation here:
https://bthornton191.github.io/adamspy/#
massgraph 1.0.0
Version of the massgraph library for Python.
Requires Python: >=3.7

# massgraph-python
Version of the massgraph library for Python.

## What is massgraph?
massgraph - cross-platform library (not yet cross-platform, but it will be soon) for rendering console graphics based on an array. It is easy to use.

## Usage example
Here is an example of how to use the library:
```python
import massgraph

framebuffer = massgraph.Massgraph(80, 25) # 80x25 - classical terminal size.
framebuffer.draw_text("Hello, World!", 0, 0) # Drawing “Hello, World!” in the upper left corner of the terminal

# Infinity rendering cycle
while True:
    framebuffer.render()
```

And that's not all it can do! This library comes with documentation. Here's the link: https://mistertay0dimon.github.io/massgraph-py-documentation/
totp-tui 0.3.0
TUI utility to generate TOTP codes
Requires Python: >=3.13

Generate, view and store TOTP codes from the command line.
Data is encrypted with a password.

## Install
You can install via `pipx`:
```
pipx install totp-tui
```

## Usage
### Terminal User Interface
Opens ncurses TUI in current terminal
```
totp
```

> [!WARNING]
> Prompts for password if run for the first time, and fails if no entries have been added

### Manage entries
Add a new entry with
```
totp add --site <site> --nick <nick> --secret <secret>
```

List all entries with
```
totp ls
```

Most commands can receive an optional `--password` for easier scripting

## Config
Most settings and interface can be changed via `totp/config.py`
ttsdb_e2_tts 0.1.2
E2 TTS model for TTSDB
Requires Python: <=3.14,>=3.10

# E2 TTS

The model description is sourced from `config.yaml` (`metadata.description`).

## Installation

```bash
just setup e2-tts
```

## Usage

```python
from ttsdb_e2_tts import E2TTS

model = E2TTS(model_id="ttsds/e2-tts")
audio, sr = model.synthesize(
    text="Hello, world!",
    reference_audio="path/to/reference.wav"
)
```

## Audio Examples

Generated audio samples from integration tests:

| Language | Text | Audio |
|----------|------|-------|
| English | "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good." | [audio_examples/en_test_001.wav](audio_examples/en_test_001.wav) |
| Chinese | "視野無限廣，窗外有藍天" | [audio_examples/zh_test_001.wav](audio_examples/zh_test_001.wav) |

To regenerate examples, run:
```bash
just test-integration e2-tts
```