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The JWT signature verification failed. Check the signing key and the algorithm.

Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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CIRAL Baselines and Indexes

Reproduction

This repo provides the CIRAL's built indexes (Pre-built indexes) to reproduce baselines.

To search using the indexes:

Afriberta-DPR

lang=yo # or ha, so, sw
set=train # or test

run_file=runs/run.ciral.afriberta-dpr.${lang}.${set}.txt

python -m pyserini.search.faiss \
  --encoder-class auto \
  --encoder castorini/afriberta-dpr-ptf-msmarco-ft-latin-mrtydi  \
  --topics /path/to/topics \
  --index /path/to/faiss.ciral-v1.0-${lang}-afriberta-dpr \
  --output ${run_file} --batch 128 --threads 16 --hits 1000

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