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	* Update with WIP * Update with WIP * Update with pipeline serialization * Update types and pipe factories * Add deep merge, tidy up and add tests * Fix pipe creation from config * Don't validate default configs on load * Update spacy/language.py Co-authored-by: Ines Montani <ines@ines.io> * Adjust factory/component meta error * Clean up factory args and remove defaults * Add test for failing empty dict defaults * Update pipeline handling and methods * provide KB as registry function instead of as object * small change in test to make functionality more clear * update example script for EL configuration * Fix typo * Simplify test * Simplify test * splitting pipes.pyx into separate files * moving default configs to each component file * fix batch_size type * removing default values from component constructors where possible (TODO: test 4725) * skip instead of xfail * Add test for config -> nlp with multiple instances * pipeline.pipes -> pipeline.pipe * Tidy up, document, remove kwargs * small cleanup/generalization for Tok2VecListener * use DEFAULT_UPSTREAM field * revert to avoid circular imports * Fix tests * Replace deprecated arg * Make model dirs require config * fix pickling of keyword-only arguments in constructor * WIP: clean up and integrate full config * Add helper to handle function args more reliably Now also includes keyword-only args * Fix config composition and serialization * Improve config debugging and add visual diff * Remove unused defaults and fix type * Remove pipeline and factories from meta * Update spacy/default_config.cfg Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/default_config.cfg * small UX edits * avoid printing stack trace for debug CLI commands * Add support for language-specific factories * specify the section of the config which holds the model to debug * WIP: add Language.from_config * Update with language data refactor WIP * Auto-format * Add backwards-compat handling for Language.factories * Update morphologizer.pyx * Fix morphologizer * Update and simplify lemmatizers * Fix Japanese tests * Port over tagger changes * Fix Chinese and tests * Update to latest Thinc * WIP: xfail first Russian lemmatizer test * Fix component-specific overrides * fix nO for output layers in debug_model * Fix default value * Fix tests and don't pass objects in config * Fix deep merging * Fix lemma lookup data registry Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed) * Add types * Add Vocab.from_config * Fix typo * Fix tests * Make config copying more elegant * Fix pipe analysis * Fix lemmatizers and is_base_form * WIP: move language defaults to config * Fix morphology type * Fix vocab * Remove comment * Update to latest Thinc * Add morph rules to config * Tidy up * Remove set_morphology option from tagger factory * Hack use_gpu * Move [pipeline] to top-level block and make [nlp.pipeline] list Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them * Fix use_gpu and resume in CLI * Auto-format * Remove resume from config * Fix formatting and error * [pipeline] -> [components] * Fix types * Fix tagger test: requires set_morphology? Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com> Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
		
			
				
	
	
		
			30 lines
		
	
	
		
			896 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			30 lines
		
	
	
		
			896 B
		
	
	
	
		
			Python
		
	
	
	
	
	
| from ...attrs import LIKE_NUM
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| 
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| # fmt: off
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| _num_words = [
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|     "zero", "one", "two", "three", "four", "five", "six", "seven", "eight",
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|     "nine", "ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen",
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|     "sixteen", "seventeen", "eighteen", "nineteen", "twenty", "thirty", "forty",
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|     "fifty", "sixty", "seventy", "eighty", "ninety", "hundred", "thousand",
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|     "million", "billion", "trillion", "quadrillion", "gajillion", "bazillion"
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| ]
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| # fmt: on
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| 
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| 
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| def like_num(text: str) -> bool:
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|     if text.startswith(("+", "-", "±", "~")):
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|         text = text[1:]
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|     text = text.replace(",", "").replace(".", "")
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|     if text.isdigit():
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|         return True
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|     if text.count("/") == 1:
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|         num, denom = text.split("/")
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|         if num.isdigit() and denom.isdigit():
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|             return True
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|     if text.lower() in _num_words:
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|         return True
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|     return False
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| 
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| 
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| LEX_ATTRS = {LIKE_NUM: like_num}
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