virtual-frame 0.1.1

Deterministic data pipeline toolkit for LLM training — bitmask-filtered virtual views, NFA regex, Kahan summation, full audit trail. Python bindings included.
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
name = "virtual-frame"
version = "0.1.1"
authors = ["Adam Ezzat"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Deterministic data pipeline toolkit for LLM training — bitmask-filtered virtual views, NFA regex, Kahan summation, full audit trail. Python bindings included."
readme = "README.md"
keywords = [
    "dataframe",
    "deterministic",
    "llm",
    "data-pipeline",
    "reproducibility",
]
categories = [
    "data-structures",
    "science",
    "text-processing",
]
license = "MIT"
repository = "https://github.com/AdamEzzat1/virtual-frame"

[lib]
name = "virtual_frame"
crate-type = [
    "cdylib",
    "rlib",
]
path = "src/lib.rs"

[dependencies.pyo3]
version = "0.22"
features = ["extension-module"]

[profile.release]
opt-level = 3
lto = "thin"