semvec/pypi-packages huggingface dataset:
milinamaso 0.1.0
Everything necessary to train a computer vision model in PyTorch
License: MIT
Requires Python: >=3.6.0
Keywords: pytorch,deep learning,vision,models

# Milinamaso

The goal of this repo is to gather everything necessary to train a computer vision model.

This repository is based on https://github.com/frgfm/Holocron, you should look at it first.


## Getting started

### Prerequisites

- Python 3.6 (or more recent)
- [pip](https://pip.pypa.io/en/stable/)

### Installation

You can install the package using [pypi](https://pypi.org/project/milinamaso/) as follows:

```bash
pip install milinamaso
```

## License

Distributed under the MIT License. See `LICENSE` for more information.
PythonicTestcase 1.4.1
standalone pythonic assertions
License: MIT
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7

Changelog
******************************

1.4.1 (2020-10-26)
====================
- assert_is_empty() and assert_is_not_empty() now consume generators if necessary
- implement "assert_almost_now()"
- stop testing Python 2.6/3.3 (support for these versions will be removed in the
  next release)

1.4.0 (2019-01-18)
====================
- implement "assert_is(expr1, expr2)" and "assert_is_not(expr1, expr2)"
- implement "assert_path_exists()", "assert_path_not_exists()",
  "assert_file_exists()", and "assert_file_not_exists()"

1.3.4 (2017-11-29)
====================
- prevent nosetests from running "skip_test" as an actual test case

1.3.3 (2017-09-20)
====================
- provide a PEP8 compliant "skip_test" (and export "skipTest" via "__all__")

1.3.2 (2017-05-08)
====================
- assert_length() now consumes generators if this is necessary to get the length

1.3.1 (2016-09-26)
====================
- instruct test runners to suppress traceback lines from PythonicTestcase when
  displaying a test failure.

1.3.0 (2016-01-23)
====================
- export 'SkipTest' class via unittest (Python 2.7+), unittest2 or
  nose.plugins.skip
- support for "@expect_failure" decorator. It works very similar to unittest's
  "@expectedFailure". However failing tests are reported as "skipped" not
  "passing" if the test runner does not support "expected failures" (such as
  nosetests 1.x).

1.2.2 (2016-01-20)
====================
- rename project to "PythonicTestcase" to workaround pip's automatic
  replacement of underscores with dashes. This simplifies installation
  from a private index.

1.2.1 (2015-11-23)
====================
- fix: assert_raises does not catch some (expected) exceptions on Python 2.6

1.2.0 (16.11.2015)
====================
- implement assert_not_raises

1.1.0 (22.10.2015)
====================
- assert_raises can return a context manager

1.0.2 (07.10.2015)
====================
- fix sdist by including Changelog.txt

1.0.1 (07.10.2015)
====================
- use gpg signing for pypi release (no code changes)

1.0 (07.10.2015)
====================
- initial pypi release
braincube-token-getter 0.0.2
A utility to get a braincube token
License: MIT
Requires Python: >=3.6,<4.0
Keywords: bc_connector,braincube_connector,braincube,token

# Braincube Token Getter

Braincube Token Getter is small program that uses the braincube sso in order to obtain a temporary token.

The program uses the flask python framework.

## Installation

```bash
pip install braincube-token-getter
```

## Usage

### Create a new configuration

By default the new configuration is stored in `~/.braincube/`  but the option `-p` or `--path` can be used to specify a specific configuration directory.

```bash
braincube-token-getter -c -p my_directory
```

The program will ask for a Baincube application *Client ID*  and *Client Secret*. If you do not know how to find these informations or how to create a Braincube application, see the section *Create a Braincube application*.

### Request a token

```bash
braincube-token-getter -t
```

The token is added to the `my_directory/config.json` file.

Note: your browser may warn you with a Security risk because your ssl certificate is not known by firefox or chrome. In this case click on `Advanced...` and `Accept the Risk an Continue`.

## Create a Braincube application

1. Connect to [mybraincube.com/](https://mybraincube.com/)

2. Go to `Configure` by clicking on you *username* on the top left corner.
3. Go to application on the thin horizontal menu bar just below the black header.
4. Either select an existing application you want to use or create a new one with the +/- icon.
5. Note that the url of your application should be `https://localhost:5000/token` so that the program gets the right url when it logs in.