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Description
How to reproduce the behaviour
- Install spacy 3.7.5
- Use Python 3.12.4
- Run the example from the homepage
# pip install -U spacy
# python -m spacy download en_core_web_sm
import spacy
# Load English tokenizer, tagger, parser and NER
nlp = spacy.load("en_core_web_sm")
# Process whole documents
text = (
"When Sebastian Thrun started working on self-driving cars at "
"Google in 2007, few people outside of the company took him "
"seriously. “I can tell you very senior CEOs of major American "
"car companies would shake my hand and turn away because I wasn’t "
"worth talking to,” said Thrun, in an interview with Recode earlier "
"this week."
)
doc = nlp(text)
# Analyze syntax
print("Noun phrases:", [chunk.text for chunk in doc.noun_chunks])
print("Verbs:", [token.lemma_ for token in doc if token.pos_ == "VERB"])
# Find named entities, phrases and concepts
for entity in doc.ents:
print(entity.text, entity.label_)
get the error:
ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard'
File "/path/to/file.py", line 3, in <module>
import spacy
TypeError: ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard'
The issue seems to be a pydantic issue and is already solved: pydantic/pydantic#9609
Your Environment
- Operating System: Ubuntu
- Python Version Used: 3.12.4
- spaCy Version Used: 3.7.5
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