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An optimized function for collaborative editing that computes the minimal diff between old and new text and applies it directly to the text object. This avoids intermediate R object allocation, making it more efficient than separate diff computation and splice operations.

Usage

am_text_update(text_obj, old_text, new_text)

Arguments

text_obj

An Automerge text object ID

old_text

The previous text content (single string)

new_text

The new text content (single string)

Value

Invisible NULL (called for side effect)

Details

Positions use Unicode code points (matching R's nchar() behavior), not bytes. This means multibyte characters like emoji count as single characters.

Examples

doc <- am_create()
am_put(doc, AM_ROOT, "content", am_text("Hello"))
text_obj <- am_get(doc, AM_ROOT, "content")

# Efficiently update text by computing and applying diff in one step
am_text_update(text_obj, "Hello", "Hello World")
am_text_content(text_obj)  # "Hello World"
#> [1] "Hello World"

# Works with Unicode
am_text_update(text_obj, "Hello World", "Hello World!")
am_text_content(text_obj)  # "Hello World!"
#> [1] "Hello World!"