### Install HaikunatorPY

Source: https://github.com/atrox/haikunatorpy/blob/master/README.md

Installs the HaikunatorPY library using pip, making it available for use in Python projects.

```bash
pip install haikunator
```

--------------------------------

### Haikunate Method Usage Examples

Source: https://github.com/atrox/haikunatorpy/blob/master/README.md

Demonstrates the core `haikunate` method with various parameters. It shows how to control token length, use hexadecimal tokens, specify custom characters, omit tokens, change delimiters, and combine these options.

```python
from haikunator import Haikunator

haikunator = Haikunator()
# haikunator = Haikunator(seed='random seed') # optional seed

# default usage
print(haikunator.haikunate()) # => "wispy-dust-1337"

# custom length (default=4)
print(haikunator.haikunate(token_length=6)) # => "patient-king-887265"

# use hex instead of numbers
print(haikunator.haikunate(token_hex=True)) # => "purple-breeze-98e1"

# use custom chars instead of numbers/hex
print(haikunator.haikunate(token_chars='HAIKUNATE')) # => "summer-atom-IHEA"

# don't include a token
print(haikunator.haikunate(token_length=0)) # => "cold-wildflower"

# use a different delimiter
print(haikunator.haikunate(delimiter='.')) # => "restless.sea.7976"

# no token, space delimiter
print(haikunator.haikunate(token_length=0, delimiter=' ')) # => "delicate haze"

# no token, empty delimiter
print(haikunator.haikunate(token_length=0, delimiter='')) # => "billowingleaf"
```

--------------------------------

### Haikunator Initialization with Custom Options

Source: https://github.com/atrox/haikunatorpy/blob/master/README.md

Illustrates initializing the `Haikunator` class with custom lists of adjectives and nouns, and setting a specific seed for deterministic name generation. It also shows a combined usage of initialization options with `haikunate` parameters.

```python
from haikunator import Haikunator

# Initialize with custom lists and a seed
haikunator = Haikunator(
    adjectives=['custom', 'adjectives'],
    nouns=['custom', 'nouns'],
    seed='random seed'
)

# Use haikunate with specific parameters, overriding defaults
print(haikunator.haikunate(
  delimiter='-',
  token_length=4,
  token_hex=False,
  token_chars='0123456789'
))
```

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