prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Bug in llvm_rl benchmark when setting a max_benchmarks
  https://github.com/facebookresearch/CompilerGym/blob/b803856257aa663b20a26e49125d5d603f84a9b9/examples/llvm_rl/model/benchmarks.py#L96-L98
  
  should be
  
  `n = min(self.max_benchmarks, n)`
  Bug in llvm_rl benchmark when setting a max_benchmarks
  https://github.com/facebookresearch/CompilerGym/blob/b803856257aa663b20a26e49125d5d603f84a9b9/examples/llvm_rl/model/benchmarks.py#L96-L98
  
  should be
  
  `n = min(self.max_benchmarks, n)`
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `examples/llvm_rl/model/benchmarks.py`
  Content:
  ```
  1 # Copyright (c) Facebook, Inc. and its affiliates.
  2 #
  3 # This source code is licensed under the MIT license found in the
  4 # LICENSE file in the root directory of this source tree.
  5 from itertools import islice
  6 from typing import Iterable, List, Union
  7 
  8 from pydantic import BaseModel, Field, root_validator, validator
  9 
  10 from compiler_gym.datasets import Benchmark, BenchmarkUri
  11 from compiler_gym.envs import CompilerEnv
  12 
  13 
  14 class Benchmarks(BaseModel):
  15     """Represents a set of benchmarks to use for training/validation/testing.
  16 
  17     There are two ways of describing benchmarks, either as a list of benchmark
  18     URIs:
  19 
  20         benchmarks:
  21             uris:
  22                 - benchmark://cbench-v1/adpcm
  23                 - benchmark://cbench-v1/ghostscript
  24 
  25     Or as a dataset to iterate over:
  26 
  27         benchmarks:
  28             dataset: benchmark://cbench-v1
  29             max_benchmarks: 20
  30     """
  31 
  32     # === Start of fields list. ===
  33 
  34     dataset: str = Field(default=None, allow_mutation=False)
  35     """The name of a dataset to iterate over. If set, benchmarks are produced
  36     by iterating over this dataset in order. If not set, the :code:`uris` list
  37     must be provided.
  38     """
  39 
  40     uris: List[str] = Field(default=[], allow_mutation=False)
  41     """A list of URIs to iterate over."""
  42 
  43     max_benchmarks: int = Field(default=0, ge=0, allow_mutation=False)
  44     """The maximum number of benchmarks to yield from the given dataset or URIs
  45     list.
  46     """
  47 
  48     benchmarks_start_at: int = Field(default=0, ge=0, allow_mutation=False)
  49     """An offset into the dataset or URIs list to start iterating from.
  50 
  51     Note that using very large offsets will slow things down as the
  52     implementation still has to iterate over the excluded benchmarks.
  53     """
  54 
  55     # === Start of public API. ===
  56 
  57     def benchmarks_iterator(self, env: CompilerEnv) -> Iterable[Benchmark]:
  58         """Return an iterator over the benchmarks."""
  59         return self._benchmark_iterator(env)
  60 
  61     def benchmark_uris_iterator(self, env: CompilerEnv) -> Iterable[str]:
  62         """Return an iterator over the URIs of the benchmarks."""
  63         return self._benchmark_iterator(env, uris=True)
  64 
  65     # === Start of implementation details. ===
  66 
  67     @root_validator
  68     def check_that_either_dataset_or_uris_is_set(cls, values):
  69         assert values.get("dataset") or values.get(
  70             "uris"
  71         ), "Neither dataset or uris given"
  72         return values
  73 
  74     @validator("uris", pre=True)
  75     def validate_uris(cls, value, *, values, **kwargs):
  76         del kwargs
  77         for uri in value:
  78             uri = BenchmarkUri.from_string(uri)
  79             assert uri.scheme and uri.dataset, f"Invalid benchmark URI: {uri}"
  80         return list(value)
  81 
  82     def _benchmark_iterator(
  83         self, env: CompilerEnv, uris: bool = False
  84     ) -> Union[Iterable[Benchmark], Iterable[str]]:
  85         return (
  86             self._uris_iterator(env, uris)
  87             if self.uris
  88             else self._dataset_iterator(env, uris)
  89         )
  90 
  91     def _uris_iterator(
  92         self, env: CompilerEnv, uris: bool = False
  93     ) -> Union[Iterable[Benchmark], Iterable[str]]:
  94         """Iterate from a URIs list."""
  95         start = self.benchmarks_start_at
  96         n = len(self.uris)
  97         if self.max_benchmarks:
  98             n = min(len(self.uris), n)
  99 
  100         if uris:
  101             # Shortcut in case we already have a list of URIs that we can slice
  102             # rather than iterating over.
  103             return iter(self.uris[start:n])
  104 
  105         return islice((env.datasets.benchmark(u) for u in self.uris), start, start + n)
  106 
  107     def _dataset_iterator(
  108         self, env: CompilerEnv, uris: bool = False
  109     ) -> Union[Iterable[Benchmark], Iterable[str]]:
  110         """Iterate from a dataset name."""
  111         dataset = env.datasets[self.dataset]
  112         dataset.install()
  113         n = dataset.size or self.max_benchmarks  # dataset.size == 0 for inf
  114         if self.max_benchmarks:
  115             n = min(self.max_benchmarks, n)
  116         start = self.benchmarks_start_at
  117         iterator = dataset.benchmark_uris if uris else dataset.benchmarks
  118         return islice(iterator(), start, start + n)
  119 
  120     class Config:
  121         validate_assignment = True
  122
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/examples/llvm_rl/model/benchmarks.py b/examples/llvm_rl/model/benchmarks.py
  --- a/examples/llvm_rl/model/benchmarks.py
  +++ b/examples/llvm_rl/model/benchmarks.py
  @@ -95,7 +95,7 @@
           start = self.benchmarks_start_at
           n = len(self.uris)
           if self.max_benchmarks:
  -            n = min(len(self.uris), n)
  +            n = min(self.max_benchmarks, n)
   
           if uris:
               # Shortcut in case we already have a list of URIs that we can slice
  
verification_info: {"golden_diff": "diff --git a/examples/llvm_rl/model/benchmarks.py b/examples/llvm_rl/model/benchmarks.py\n--- a/examples/llvm_rl/model/benchmarks.py\n+++ b/examples/llvm_rl/model/benchmarks.py\n@@ -95,7 +95,7 @@\n         start = self.benchmarks_start_at\n         n = len(self.uris)\n         if self.max_benchmarks:\n-            n = min(len(self.uris), n)\n+            n = min(self.max_benchmarks, n)\n \n         if uris:\n             # Shortcut in case we already have a list of URIs that we can slice\n", "issue": "Bug in llvm_rl benchmark when setting a max_benchmarks\nhttps://github.com/facebookresearch/CompilerGym/blob/b803856257aa663b20a26e49125d5d603f84a9b9/examples/llvm_rl/model/benchmarks.py#L96-L98\r\n\r\nshould be\r\n\r\n`n = min(self.max_benchmarks, n)`\nBug in llvm_rl benchmark when setting a max_benchmarks\nhttps://github.com/facebookresearch/CompilerGym/blob/b803856257aa663b20a26e49125d5d603f84a9b9/examples/llvm_rl/model/benchmarks.py#L96-L98\r\n\r\nshould be\r\n\r\n`n = min(self.max_benchmarks, n)`\n", "before_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\nfrom itertools import islice\nfrom typing import Iterable, List, Union\n\nfrom pydantic import BaseModel, Field, root_validator, validator\n\nfrom compiler_gym.datasets import Benchmark, BenchmarkUri\nfrom compiler_gym.envs import CompilerEnv\n\n\nclass Benchmarks(BaseModel):\n    \"\"\"Represents a set of benchmarks to use for training/validation/testing.\n\n    There are two ways of describing benchmarks, either as a list of benchmark\n    URIs:\n\n        benchmarks:\n            uris:\n                - benchmark://cbench-v1/adpcm\n                - benchmark://cbench-v1/ghostscript\n\n    Or as a dataset to iterate over:\n\n        benchmarks:\n            dataset: benchmark://cbench-v1\n            max_benchmarks: 20\n    \"\"\"\n\n    # === Start of fields list. ===\n\n    dataset: str = Field(default=None, allow_mutation=False)\n    \"\"\"The name of a dataset to iterate over. If set, benchmarks are produced\n    by iterating over this dataset in order. If not set, the :code:`uris` list\n    must be provided.\n    \"\"\"\n\n    uris: List[str] = Field(default=[], allow_mutation=False)\n    \"\"\"A list of URIs to iterate over.\"\"\"\n\n    max_benchmarks: int = Field(default=0, ge=0, allow_mutation=False)\n    \"\"\"The maximum number of benchmarks to yield from the given dataset or URIs\n    list.\n    \"\"\"\n\n    benchmarks_start_at: int = Field(default=0, ge=0, allow_mutation=False)\n    \"\"\"An offset into the dataset or URIs list to start iterating from.\n\n    Note that using very large offsets will slow things down as the\n    implementation still has to iterate over the excluded benchmarks.\n    \"\"\"\n\n    # === Start of public API. ===\n\n    def benchmarks_iterator(self, env: CompilerEnv) -> Iterable[Benchmark]:\n        \"\"\"Return an iterator over the benchmarks.\"\"\"\n        return self._benchmark_iterator(env)\n\n    def benchmark_uris_iterator(self, env: CompilerEnv) -> Iterable[str]:\n        \"\"\"Return an iterator over the URIs of the benchmarks.\"\"\"\n        return self._benchmark_iterator(env, uris=True)\n\n    # === Start of implementation details. ===\n\n    @root_validator\n    def check_that_either_dataset_or_uris_is_set(cls, values):\n        assert values.get(\"dataset\") or values.get(\n            \"uris\"\n        ), \"Neither dataset or uris given\"\n        return values\n\n    @validator(\"uris\", pre=True)\n    def validate_uris(cls, value, *, values, **kwargs):\n        del kwargs\n        for uri in value:\n            uri = BenchmarkUri.from_string(uri)\n            assert uri.scheme and uri.dataset, f\"Invalid benchmark URI: {uri}\"\n        return list(value)\n\n    def _benchmark_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        return (\n            self._uris_iterator(env, uris)\n            if self.uris\n            else self._dataset_iterator(env, uris)\n        )\n\n    def _uris_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        \"\"\"Iterate from a URIs list.\"\"\"\n        start = self.benchmarks_start_at\n        n = len(self.uris)\n        if self.max_benchmarks:\n            n = min(len(self.uris), n)\n\n        if uris:\n            # Shortcut in case we already have a list of URIs that we can slice\n            # rather than iterating over.\n            return iter(self.uris[start:n])\n\n        return islice((env.datasets.benchmark(u) for u in self.uris), start, start + n)\n\n    def _dataset_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        \"\"\"Iterate from a dataset name.\"\"\"\n        dataset = env.datasets[self.dataset]\n        dataset.install()\n        n = dataset.size or self.max_benchmarks  # dataset.size == 0 for inf\n        if self.max_benchmarks:\n            n = min(self.max_benchmarks, n)\n        start = self.benchmarks_start_at\n        iterator = dataset.benchmark_uris if uris else dataset.benchmarks\n        return islice(iterator(), start, start + n)\n\n    class Config:\n        validate_assignment = True\n", "path": "examples/llvm_rl/model/benchmarks.py"}], "after_files": [{"content": "# Copyright (c) Facebook, Inc. and its affiliates.\n#\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\nfrom itertools import islice\nfrom typing import Iterable, List, Union\n\nfrom pydantic import BaseModel, Field, root_validator, validator\n\nfrom compiler_gym.datasets import Benchmark, BenchmarkUri\nfrom compiler_gym.envs import CompilerEnv\n\n\nclass Benchmarks(BaseModel):\n    \"\"\"Represents a set of benchmarks to use for training/validation/testing.\n\n    There are two ways of describing benchmarks, either as a list of benchmark\n    URIs:\n\n        benchmarks:\n            uris:\n                - benchmark://cbench-v1/adpcm\n                - benchmark://cbench-v1/ghostscript\n\n    Or as a dataset to iterate over:\n\n        benchmarks:\n            dataset: benchmark://cbench-v1\n            max_benchmarks: 20\n    \"\"\"\n\n    # === Start of fields list. ===\n\n    dataset: str = Field(default=None, allow_mutation=False)\n    \"\"\"The name of a dataset to iterate over. If set, benchmarks are produced\n    by iterating over this dataset in order. If not set, the :code:`uris` list\n    must be provided.\n    \"\"\"\n\n    uris: List[str] = Field(default=[], allow_mutation=False)\n    \"\"\"A list of URIs to iterate over.\"\"\"\n\n    max_benchmarks: int = Field(default=0, ge=0, allow_mutation=False)\n    \"\"\"The maximum number of benchmarks to yield from the given dataset or URIs\n    list.\n    \"\"\"\n\n    benchmarks_start_at: int = Field(default=0, ge=0, allow_mutation=False)\n    \"\"\"An offset into the dataset or URIs list to start iterating from.\n\n    Note that using very large offsets will slow things down as the\n    implementation still has to iterate over the excluded benchmarks.\n    \"\"\"\n\n    # === Start of public API. ===\n\n    def benchmarks_iterator(self, env: CompilerEnv) -> Iterable[Benchmark]:\n        \"\"\"Return an iterator over the benchmarks.\"\"\"\n        return self._benchmark_iterator(env)\n\n    def benchmark_uris_iterator(self, env: CompilerEnv) -> Iterable[str]:\n        \"\"\"Return an iterator over the URIs of the benchmarks.\"\"\"\n        return self._benchmark_iterator(env, uris=True)\n\n    # === Start of implementation details. ===\n\n    @root_validator\n    def check_that_either_dataset_or_uris_is_set(cls, values):\n        assert values.get(\"dataset\") or values.get(\n            \"uris\"\n        ), \"Neither dataset or uris given\"\n        return values\n\n    @validator(\"uris\", pre=True)\n    def validate_uris(cls, value, *, values, **kwargs):\n        del kwargs\n        for uri in value:\n            uri = BenchmarkUri.from_string(uri)\n            assert uri.scheme and uri.dataset, f\"Invalid benchmark URI: {uri}\"\n        return list(value)\n\n    def _benchmark_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        return (\n            self._uris_iterator(env, uris)\n            if self.uris\n            else self._dataset_iterator(env, uris)\n        )\n\n    def _uris_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        \"\"\"Iterate from a URIs list.\"\"\"\n        start = self.benchmarks_start_at\n        n = len(self.uris)\n        if self.max_benchmarks:\n            n = min(self.max_benchmarks, n)\n\n        if uris:\n            # Shortcut in case we already have a list of URIs that we can slice\n            # rather than iterating over.\n            return iter(self.uris[start:n])\n\n        return islice((env.datasets.benchmark(u) for u in self.uris), start, start + n)\n\n    def _dataset_iterator(\n        self, env: CompilerEnv, uris: bool = False\n    ) -> Union[Iterable[Benchmark], Iterable[str]]:\n        \"\"\"Iterate from a dataset name.\"\"\"\n        dataset = env.datasets[self.dataset]\n        dataset.install()\n        n = dataset.size or self.max_benchmarks  # dataset.size == 0 for inf\n        if self.max_benchmarks:\n            n = min(self.max_benchmarks, n)\n        start = self.benchmarks_start_at\n        iterator = dataset.benchmark_uris if uris else dataset.benchmarks\n        return islice(iterator(), start, start + n)\n\n    class Config:\n        validate_assignment = True\n", "path": "examples/llvm_rl/model/benchmarks.py"}]}