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@ -69,7 +69,7 @@ More details on the benchmark, edit formats and results are discussed below.
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## The benchmark
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The benchmark uses
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The benchmark uses
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[133 practice exercises from the Exercism python repository](https://github.com/exercism/python/tree/main/exercises/practice).
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These
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exercises were designed to help individuals learn Python and hone
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@ -199,7 +199,7 @@ demo.py
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### whole-func
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The [whole-func](https://github.com/paul-gauthier/aider/blob/main/aider/coders/wholefile_func_coder.py)
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The [whole-func](https://github.com/paul-gauthier/aider/blob/main/aider/coders/wholefile_func_coder.py)
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format requests updated copies of whole files to be returned using the function call API.
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@ -218,7 +218,7 @@ format requests updated copies of whole files to be returned using the function
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The
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[diff-func](https://github.com/paul-gauthier/aider/blob/main/aider/coders/editblock_func_coder.py)
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format requests a list of
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format requests a list of
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original/updated style edits to be returned using the function call API.
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```
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@ -235,7 +235,7 @@ original/updated style edits to be returned using the function call API.
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],
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}
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]
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}
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}
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```
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## GPT-3.5's performance
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@ -307,7 +307,7 @@ The benchmark harness also logs SHA hashes of
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all the OpenAI API requests and replies.
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This makes it possible to
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detect randomness or nondeterminism
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in the bechmarking process.
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in the benchmarking process.
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It turns out that the OpenAI chat APIs are not deterministic, even at
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`temperature=0`. The same identical request will produce multiple
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