===============
LIBRARY RULES
===============
From library maintainers:
- Simplicity is king

### Install blanc-space Locally

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Installs the blanc-space library from a local project directory using pip. This is useful for development or when you have the project files available.

```Bash
cd blanc-space
pip install .
```

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### Processing Configuration Files with unicodify

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Demonstrates how `unicodify` can be used to standardize whitespace in configuration file lines, ensuring consistent parsing.

```Python
from blanc_space.unicodify import unicodify

config_line = "database_host = localhost"
processed = unicodify(config_line)
print(processed)
# Output: "database_host\u0020=\u0020localhost"
```

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### Log Analysis with unicodify

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Shows how `unicodify` can normalize log entries by replacing tabs with their Unicode representations, aiding in consistent log analysis.

```Python
from blanc_space.unicodify import unicodify

log_entry = "2023-01-01 10:30:00\tINFO\tApplication started"
cleaned = unicodify(log_entry)
print(cleaned)
# Output: "2023-01-01\u002010:30:00\u0009INFO\u0009Application\u0020started"
```

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### Alternative Import Styles for unicodify

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Shows different ways to import and use the `unicodify` function, either directly or by aliasing the module.

```Python
# Import the function directly
from blanc_space.unicodify import unicodify

# Or import the module
from blanc_space import unicodify as uc
result = uc.unicodify("Hello world")
```

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### Basic Usage of unicodify

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Demonstrates the core functionality of the `unicodify` function by converting strings containing spaces and tabs into their Unicode escape sequences.

```Python
from blanc_space.unicodify import unicodify

# Example with spaces
text_with_spaces = "Hello world"
result = unicodify(text_with_spaces)
print(result)  # Output: "Hello\u0020world"

# Example with tabs
text_with_tabs = "Name\tAge\tCity"
result = unicodify(text_with_tabs)
print(result)  # Output: "Name\u0009Age\u0009City"

# Example with mixed whitespace
mixed_text = "First line\n\tSecond line with spaces"
result = unicodify(mixed_text)
print(result)  # Output: "First\u0020line\n\u0009Second\u0020line\u0020with\u0020spaces"
```

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### Error Handling for Non-String Input

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Demonstrates the `TypeError` raised by the `unicodify` function when a non-string input is provided, along with how to catch this exception.

```Python
from blanc_space.unicodify import unicodify

try:
    result = unicodify(123)  # This will raise TypeError
except TypeError as e:
    print(f"Error: {e}")  # Output: "Error: Input must be a string"
```

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### Test Blanc-Space unicodify Function

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Provides simple test cases for the `unicodify` function in the `blanc_space.unicodify` module. It covers basic functionality, edge cases like empty strings and strings without spaces, and error handling for invalid input types.

```Python
# Simple test cases
from blanc_space.unicodify import unicodify

# Test basic functionality
assert unicodify("a b") == "a\u0020b"
assert unicodify("a\tb") == "a\u0009b"
assert unicodify("a\t b") == "a\u0009\u0020b"

# Test edge cases
assert unicodify("") == ""
assert unicodify("no_spaces_or_tabs") == "no_spaces_or_tabs"

# Test error handling
try:
    unicodify(None)
    assert False, "Should raise TypeError"
except TypeError:
    pass  # Expected
```

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### Debugging CSV Data with unicodify

Source: https://github.com/bbakersmith-grindr/blanc-space/blob/main/README.md

Illustrates using `unicodify` to reveal inconsistent spacing in CSV data, making it easier to identify formatting issues.

```Python
from blanc_space.unicodify import unicodify

# Debug CSV data with inconsistent spacing
csv_line = "John Doe,25, Software Engineer"
print("Original:", repr(csv_line))
print("Unicodified:", unicodify(csv_line))
# Shows: "John\u0020Doe,25,\u0020Software\u0020Engineer"
```

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