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Load PDF document objects through the pinned craft-pdf parser and convert them into EffectCraft's existing drawing model with bounded traversal, recovery and retained data. Preserve generation numbers, stream limits, encrypted-document refusal and reported repairs. Retain app-owned drawing, EPS, fonts and content/image decoding. Assert early excessive-nesting rejection without partial art, and cover tolerant arrays on native and WASM. Validated with the22-stage local matrix and exact-head FreeBSD, Windows ARM64 and packaging checks. Co-authored-by: Codex <noreply@openai.com>
30 lines
1.0 KiB
TOML
30 lines
1.0 KiB
TOML
[package]
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name = "effectcraft-pdf"
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description = "Vector footage import: PDF and PDF-compatible Illustrator (.ai) pages and EPS (a PostScript subset) parsed into the SVG render tree (paths, fills, strokes, shadings, tiling patterns, clipping, text with embedded fonts, images, blend modes, soft masks, optional-content layers)"
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version.workspace = true
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edition.workspace = true
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license.workspace = true
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rust-version.workspace = true
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[lints]
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workspace = true
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[dependencies]
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craft-pdf.workspace = true
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effectcraft-svg = { workspace = true }
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kurbo = { workspace = true }
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effectcraft-text = { workspace = true }
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miniz_oxide = "0.8"
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# Embedded TrueType / OpenType font programs (MIT OR Apache-2.0).
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skrifa = { workspace = true }
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# DCT (JPEG) images (MIT OR Apache-2.0 OR Zlib; pure Rust).
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zune-jpeg = "0.5"
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[dev-dependencies]
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# Encodes JPEG fixtures for the DCT image test.
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image = { workspace = true }
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effectcraft-raster = { workspace = true }
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[target.'cfg(target_arch = "wasm32")'.dev-dependencies]
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wasm-bindgen-test = "0.3"
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