semvec/pypi-packages huggingface dataset:
awscert 10.7.8
awscert of awscert of awscert

# Installation


To install requirements: `python -m pip install requirements.txt`

To save requirements: `python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt`

* Note we use Python 3.9.4 for our experiments

The code in augerino_lib is an extension (with our modification) from the original Augerino code https://github.com/g-benton/learning-invariances. The code in data_augmentation/my_training.py is a modification of the pytorch example in https://github.com/pytorch/examples/tree/master/imagenet.

# Running the code 

For remaining experiments: 

Navigate to the corresponding directory, then execute: `python run.py -m` with the corresponding `config.yaml` file (which stores experiment configs).

# License

Consult License.md
skyant-parser-base 1.1.43
Hi-Level parser.
Requires Python: >=3.10
Keywords: parser,web scrapping

Objects for making web scrapping projects.

skyant-parser supports java-script loaded content, data verification, thread-pool loading
and loading through async queue.


#### Support
For support please use [this email](mailto:contact-project+skyant-python-parser-base-support@incoming.gitlab.com) or [the GitLab issuu tracker](https://gitlab.com/skyant/python/parser/base/-/issues).


<hr/>

## Web scrapping process

## Base

### Field


### Loaders

#### Simple

#### Selenium


## Catalog


### SearchPage

### ItemPage
evatidevice 0.0.4
Add push folder function for tidevice.

# EvaTidevice

**EvaTidevice** is Add push folder function for tidevice.

## Example Usage

```python
from evatidevice import EvaTidevice

evaTidevice = EvaTidevice(udid, bundle_id)

evaTidevice.pushtree(src, dst)  # push file/folder
evaTidevice.pulltree(src, dst)  # pull file/folder

```

## Installing EvaTidevice

EvaTidevice is available on PyPI:

```console
$ python -m pip install evatidevice
```