Comments (1)
We don't have plans to release the code for the generated tests. The overall idea is to replace random subset of pre-existing inputs with similar elements (strings with strings, numbers with numbers), then run code solutions that are known to be good, and seeing if there is consensus in the outputs for the same input, if there is consensus then we regard that (input, output) pair as a generated test. You can use any method to generate the inputs. Usually the challenge is filtering the "inputs" that are actually invalid for the problem, and for this we run the correct code solutions, but you can use any method for this for example manual checking.
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Related Issues (20)
- Does anyone know what Segmentation fault means ? HOT 2
- Is there any plan to release C++ test sandbox? HOT 2
- Failed: Gregor and Cryptography problem not found. Did you pass the validation dataset? HOT 2
- Auto-Configuration Error when run Bazel HOT 3
- Some test solutions do not return outputs in sandbox running, while they output successfully on CLI. HOT 1
- bazel building error on grpc dependency when using Python 3.10 HOT 2
- SANDBOX VIOLATION HOT 2
- Compilation error when using gcc versions {7,9,10,11} HOT 1
- Compilation error when using gcc versions {7,9} HOT 1
- Problem with getting data from riegeli files when not using bazel and trying to run print_names_and_sources.py directly HOT 2
- License of data usage HOT 1
- Can't compile with clang 14 and gcc 12 HOT 1
- AlphaCode Model Implementation Questions
- Executing and evaluating solutions 3x Compilation failure with many python versions HOT 2
- Executing fail in linux docker HOT 1
- How to compile C++ programs?
- Dataset Unavailable HOT 1
- Dataset Update. AlphaCode 2 HOT 2
- Validation setup
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