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()

```

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

{"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"}]}