semvec/pypi-packages huggingface dataset:
yuseful-prompts 4.0.7
tested chains for common use-cases of the markets-agent.com using open LLMs with ollama and Langchain
License: MIT

# yuseful_prompts

## what is this ?

This is a simple python package that uses `ollama` with prompts I'm finding useful for my Markets Agent project. It is meant to run LLM intelligence that can fit a 20GB VRAM GPU with acceptable speed.

## pre requisites

- `ollama` installed with a model of your chosing referenced in as the `DEFAULT_MODEL` in `yuseful_prompts/llms.py`
- a working Python 3.12+ installation with `venv` installed

## Running Tests

To run the tests, follow these steps:

1. Ensure you have pytest installed:
   ```
   pip install pytest
   ```

2. Navigate to the project root directory.

3. Run all tests:
   ```
   pytest
   ```

4. To run tests from a specific file:
   ```
   pytest yuseful_prompts/tests/test_category_chains.py -vv -s
   pytest yuseful_prompts/tests/test_headline_chains.py -vv -s
   pytest yuseful_prompts/tests/test_misc_chains.py -vv -s
   ```

5. To run a specific test function:
   ```
   pytest tests/test_file.py::test_function_name
   ```

Make sure to replace `test_file.py` and `test_function_name` with the actual file and function names.
faker-animal 1.0
A provider for the python faker library to generate random animals data
License: MIT

# faker-animals
A provider for the python faker library to generate animals data.

## Description

`faker-animals` offers comprehensive and accurate animals data,covering an extensive range of species. It includes info like the common name and the scientific name. This data can be useful for applications requiring realistic representations of biological diversity, educational tools, wildlife databases, or any project that needs accurate animal species data.

## Installation

Install with pip:

``` bash
pip install faker-animals
```

Add as a provider to your Faker instance:

``` python
from faker import Faker
from faker-animals import AnimalsProvider
fake.add_provider(AnimalsProvider)
```

If you already use faker, you probably know the conventional use is:

```python
fake = Faker()
```

## Usage examples

### Animal

``` python
>>> fake.animal()

{
    'common_name': 'Kangaroo',
    'scientific_name': 'Macropodidae',
    'class': 'mammals'
}
```


### Animal Common Name

``` python
>>> fake.animal_name()

'Brown Bear'
```

### Animal Scientific Name

``` python
>>> fake.animal_name_scientific()

'Ursus arctos'
```

### Bird

``` python
>>> fake.bird()

{
  'common_name': 'African Grey Parrot',
  'scientific_name': 'Psittacus erithacus',
  'class': 'birds'
}
```

### Mammal

``` python
>>> fake.mammal()

{
  'common_name': 'Alaskan Husky',
  'scientific_name': 'Canis lupus',
  'class': 'mammals'
}
```

### Fish

``` python
>>> fake.fish()

{
  'common_name': 'White Catfish',
  'scientific_name': 'A. catus',
  'class': 'fish'
}
```

### Reptile

``` python
>>> fake.reptile()

{
  'common_name': 'Black Mamba',
  'scientific_name': 'D. polylepis',
  'class': 'reptiles'
}
```

### Amphibian

``` python
>>> fake.amphibian()

{
  'common_name': 'Green Frog',
  'scientific_name': 'Lithobates clamitans',
  'class': 'amphibians'
}
```