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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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Dataset Card for "python_codestyles-random-500"

This dataset contains negative and positive examples with python code of compliance with a code style. A positive example represents compliance with the code style (label is 1). Each example is composed of two components, the first component consists of a code that either conforms to the code style or violates it and the second component corresponding to an example code that already conforms to a code style. In total, the dataset contains 500 completely different code styles. The code styles differ in at least one codestyle rule, which is called a random codestyle dataset variant. The dataset consists of a training and test group, with none of the code styles overlapping between groups. In addition, both groups contain completely different underlying codes.

The examples contain source code from the following repositories:

repository tag or commit
TheAlgorithms/Python f614ed72170011d2d439f7901e1c8daa7deac8c4
huggingface/transformers v4.31.0
huggingface/datasets 2.13.1
huggingface/diffusers v0.18.2
huggingface/accelerate v0.21.0

You can find the corresponding code styles of the examples in the file additional_data.json. The code styles in the file are split by training and test group and the index corresponds to the class for the columns code_codestyle and style_context_codestyle in the dataset.

There are 182.198 samples in total and 91.098 positive and 91.100 negative samples.

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Models trained or fine-tuned on infinityofspace/python_codestyles-random-500