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A module tree explorer for humans and LLMs

Project description

pretty-mod

a module tree explorer for LLMs (and humans)

[!IMPORTANT] for all versions >=0.1.0, wheels for different operating systems are built via maturin and published to pypi, install <0.1.0 for a pure python version

ยป uvx pretty-mod tree json
๐Ÿ“ฆ json
โ”œโ”€โ”€ ๐Ÿ“œ __all__: dump, dumps, load, loads, JSONDecoder, JSONDecodeError, JSONEncoder
โ”œโ”€โ”€ โšก functions: dump, dumps, load, loads
โ”œโ”€โ”€ ๐Ÿ“ฆ decoder
โ”‚   โ”œโ”€โ”€ ๐Ÿ“œ __all__: JSONDecoder, JSONDecodeError
โ”‚   โ””โ”€โ”€ ๐Ÿ”ท classes: JSONDecodeError, JSONDecoder
โ”œโ”€โ”€ ๐Ÿ“ฆ encoder
โ”‚   โ”œโ”€โ”€ ๐Ÿ”ท classes: JSONEncoder
โ”‚   โ””โ”€โ”€ โšก functions: py_encode_basestring, py_encode_basestring_ascii
โ”œโ”€โ”€ ๐Ÿ“ฆ scanner
โ”‚   โ””โ”€โ”€ ๐Ÿ“œ __all__: make_scanner
โ””โ”€โ”€ ๐Ÿ“ฆ tool
    โ””โ”€โ”€ โšก functions: main

ยป uvx pretty-mod sig json:dumps
๐Ÿ“Ž dumps
โ”œโ”€โ”€ Parameters:
โ”œโ”€โ”€ obj
โ”œโ”€โ”€ *
โ”œโ”€โ”€ skipkeys=False
โ”œโ”€โ”€ ensure_ascii=True
โ”œโ”€โ”€ check_circular=True
โ”œโ”€โ”€ allow_nan=True
โ”œโ”€โ”€ cls=None
โ”œโ”€โ”€ indent=None
โ”œโ”€โ”€ separators=None
โ”œโ”€โ”€ default=None
โ”œโ”€โ”€ sort_keys=False
โ””โ”€โ”€ **kw

Installation

uv add pretty-mod

Usage

from pretty_mod import display_tree

# Explore a module structure  
display_tree("collections", max_depth=2)
Example output
display_tree("collections", max_depth=2)

๐Ÿ“ฆ collections
โ”œโ”€โ”€ ๐Ÿ“œ __all__: ChainMap, Counter, OrderedDict, UserDict, UserList, UserString, defaultdict, deque, namedtuple
โ”œโ”€โ”€ ๐Ÿ”ท classes: ChainMap, Counter, OrderedDict, UserDict, UserList, UserString, defaultdict, deque
โ”œโ”€โ”€ โšก functions: namedtuple
โ””โ”€โ”€ ๐Ÿ“ฆ abc
    โ”œโ”€โ”€ ๐Ÿ“œ __all__: Awaitable, Coroutine, AsyncIterable, AsyncIterator, AsyncGenerator, Hashable, Iterable, Iterator, Generator, Reversible, Sized, Container, Callable, Collection, Set, MutableSet, Mapping, MutableMapping, MappingView, KeysView, ItemsView, ValuesView, Sequence, MutableSequence, ByteString, Buffer
    โ””โ”€โ”€ ๐Ÿ”ท classes: AsyncGenerator, AsyncIterable, AsyncIterator, Awaitable, Buffer, ByteString, Callable, Collection, Container, Coroutine, Generator, Hashable, ItemsView, Iterable, Iterator, KeysView, Mapping, MappingView, MutableMapping, MutableSequence, MutableSet, Reversible, Sequence, Set, Sized, ValuesView
from pretty_mod import display_signature

# Display the signature of a callable (function or class constructor)
print(display_signature("json:loads"))
Example output
๐Ÿ“Ž loads
โ”œโ”€โ”€ Parameters:
โ”œโ”€โ”€ s
โ”œโ”€โ”€ *
โ”œโ”€โ”€ cls=None
โ”œโ”€โ”€ object_hook=None
โ”œโ”€โ”€ parse_float=None
โ”œโ”€โ”€ parse_int=None
โ”œโ”€โ”€ parse_constant=None
โ”œโ”€โ”€ object_pairs_hook=None
โ””โ”€โ”€ **kw

CLI

Pretty-mod includes a command-line interface for quick exploration:

# Explore module structure
pretty-mod tree json
pretty-mod tree requests --depth 3

# Display function signatures  
pretty-mod sig json:loads
pretty-mod sig os.path:join

# inspect libraries you don't have installed
uvx --with fastapi pretty-mod tree fastapi.routing

uvx --with fastapi pretty-mod sig fastapi.routing:run_endpoint_function

Examples

See the examples/ directory for more detailed usage patterns and advanced features.

Development

gh repo clone zzstoatzz/pretty-mod && cd pretty-mod
just --list # see https://github.com/casey/just
Performance Testing

The performance test script (scripts/perf_test.py) supports both single-run exploration and proper benchmarking with multiple iterations:

# Run a proper benchmark with multiple iterations
./scripts/perf_test.py json --benchmark
./scripts/perf_test.py urllib --benchmark --runs 100 --warmup 10

# Compare performance between local and published versions
just compare-perf prefect 2

# Benchmark multiple modules
just benchmark-modules

# Or use shell timing for quick single-run comparisons
time ./scripts/perf_test.py numpy --depth 3
time uvx pretty-mod tree numpy --depth 3

Benchmark mode provides:

  • Warmup runs to account for cold starts
  • Multiple iterations for statistical significance
  • Mean, standard deviation, min/max timing statistics
  • Silent operation (no tree output) for accurate timing

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SHA256 ac4f614ea7c15f96c209d525fa91f9e505835b620918a23358deb9201b56eeb6
MD5 fb16127e174c5ae27048cb0e4f2c2099
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SHA256 4c69866a577e98d61789155dff2fa3da1788393b4f9ae1c2abb8b50cb479f578
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SHA256 518a568004bb791371015f34c78dbd355ed7106b7dd5aa2ea38cb6dcb2b99c2f
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BLAKE2b-256 135b87d35fc4d526110965490f14e2c2e9b3c7ab43cc749e443159d39474cd98

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