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Improve auto_platform resources mapping
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@@ -1,5 +1,6 @@
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""" Galaxy job runners to use Amazon AWS native compute resources, such as AWS Batch.
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"""
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import bisect
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import hashlib
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import json
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import logging
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@@ -548,20 +549,17 @@ class AWSBatchJobRunner(AsynchronousJobRunner):
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max_vcpu = self.FARGATE_VCPUS[-1]
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max_memory = self.FARGATE_RESOURCES[max_vcpu][-1]
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if vcpu <= max_vcpu and memory <= max_memory: # type: ignore[operator]
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new_vcpu, new_memory = None, None
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for c in self.FARGATE_VCPUS:
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if c < vcpu: # type: ignore[operator]
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continue
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for m in self.FARGATE_RESOURCES[c]:
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if m >= memory: # type: ignore[operator]
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new_vcpu = c
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new_memory = m
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break
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if new_memory:
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c_ix = bisect.bisect_left(self.FARGATE_VCPUS, vcpu) # type: ignore[type-var]
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length = len(self.FARGATE_VCPUS)
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while c_ix < length:
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c = self.FARGATE_VCPUS[c_ix]
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m_ix = bisect.bisect_left(self.FARGATE_RESOURCES[c], memory) # type: ignore[type-var]
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if m_ix < len(self.FARGATE_RESOURCES[c]):
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platform = "FARGATE"
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parsed_params["vcpu"] = new_vcpu
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parsed_params["memory"] = new_memory
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parsed_params["vcpu"] = c
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parsed_params["memory"] = self.FARGATE_RESOURCES[c][m_ix]
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break
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c_ix += 1
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# parse JOB QUEUE
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job_queues = parsed_params.get("job_queue").split(",") # type: ignore[union-attr]
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if len(job_queues) < 2:
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