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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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Example Entry

An entry in the miniCTX dataset consists of the theorem statement, preceding file contents, and metadata information. For example, given the following theorem s_eq_pow_two in context:

import Mathlib.Data.Real.Basic

/-!
# Square function
We define the squaring function `s : ℝ → ℝ` to be `s x := x * x`.
-/

def s (x : ℝ) : ℝ := x * x

lemma s_eq_pow_two {x : ℝ} : s x = x ^ 2 := by
  rw [s, pow_two]

The problem is formatted in JSON as follows:

{
  # Preceding file content
  "srcContext": "import Mathlib.Data.Real.Basic\n\n/-!\n# Square function\nWe define the squaring function `s : ℝ → ℝ` to be `s x := x * x`.\n-/\n\ndef s (x : ℝ) : ℝ := x * x\n\n",
  
  # Theorem statement
  "theoremStatement": "lemma s_eq_pow_two {x : ℝ} : s x = x ^ 2",

  # Fully qualified theorem name
  "theoremName": "s_eq_pow_two",

  # Temporal metadata
  "fileCreated": {"commit":"(git commit)", "date":"(date the commit is updated)"},
  "theoremCreated": {"commit":"(git commit)", "date":"(date the commit is updated)"},

  # Source metadata
  "file": "MyProject/Square.lean",
  "module": "MyProject.Square",
  "positionMetadata": {
    # Line number the theorem is on
    "lineInFile": 10,
    # Number of tokens before the theorem
    "tokenPositionInFile": 152,
    # Number of premises (definitions, theorems) before the theorem
    "theoremPositionInFile": 1
  },

  # Dependency metadata
  "dependencyMetadata": {
    # Number of definitions or lemmas defined in this file that the theorem uses
    "inFilePremises": true,
    "numInFilePremises": 1,
    # Number of definitions or lemmas defined in this repository that the theorem uses (including in-file ones)
    "repositoryPremises": true
    "numRepositoryPremises": 1,
    # Number of total premises (in file, repository, or otherwise)
    "numPremises": 2,
    # Modules imported in the current file
    "importedModules": ["Mathlib.Data.Real.Basic", ...]
  },

  # Proof metadata
  "proofMetadata": {
    "hasProof": true,
    "proof": "by\n  rw [s, pow_two]",
    "proofType": "tactic",
    "proofLengthLines": 2,
    "proofLengthTokens": 20
  }
}

Description of Each Entry

  • srcContext: The context of the source file preceding the theorem, including imports and relevant definitions. This provides necessary background to understand the theorem.
  • theoremStatement: The statement of the theorem being proved.
  • theoremName: The name of the theorem.
  • fileCreated: The git commit hash indicating when the file was created.
  • theoremCreated: The git commit hash indicating when the theorem was added.
  • file: The name of the file containing the theorem.
  • positionMetadata:
    • lineInFile: The line number in the file where the theorem is located.
    • tokenPositionInFile: The number of tokens in the file before the theorem starts.
    • theoremPositionInFile: The number of premises (definitions, theorems) before the theorem in the file.
  • dependencyMetadata:
    • inFilePremises: Indicates whether the theorem uses definitions or lemmas defined in the same file.
    • numInFilePremises: The number of definitions or lemmas from the same file that the theorem relies on.
    • repositoryPremises: Indicates whether the theorem uses definitions or lemmas defined in another file within the same repository.
    • numRepositoryPremises: The total number of definitions or lemmas from the repository (including the current file) that the theorem depends on.
    • numPremises: The total number of premises the theorem depends on, regardless of whether they are from the same file, the repository, or external sources.
    • importedModules: Lists the modules imported in the current file.
  • proofMetadata:
    • hasProof: Indicates whether the theorem has a proof.
    • proof: The proof of the theorem.
    • proofType: The type of proof, term proof or tactic proof.
    • proofLengthLines: The length of the proof in lines.
    • proofLengthTokens: The length of the proof in tokens.

In addition to individual entries, we also provide the link and git commit version of each split for evaluation:

Citation

Please cite:

@article{hu2024minictx,
      title={miniCTX: Neural Theorem Proving with (Long-) Contexts},
      author={Hu, Jiewen and Zhu, Thomas and Welleck, Sean},
      journal={arXiv preprint arXiv:2408.03350},
      year={2024}
    }
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