chore: import upstream snapshot with attribution
Docker Image CI / build-ubuntu2004 (push) Has been cancelled
Docker Image CI / build-ubuntu2004 (push) Has been cancelled
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#!/usr/bin/env python3
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Simple printing utils
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Utils to print traces and profiles in CSV format
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"""
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from __future__ import print_function
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def combineDescriptions(prolog, features, descriptions):
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"""Combine features with their descriptions"""
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fullDescription = prolog
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sep = " "
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for feature, description in zip(features, descriptions):
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fullDescription += sep + feature + " (" + description + ")"
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sep = ", "
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return fullDescription
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def printHeader(allFeatures, selection, gp=False, count=False):
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"""Print table header"""
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if gp:
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sep = "#"
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if count:
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sep += "count, "
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else:
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sep = ""
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for feature in allFeatures:
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if feature in selection:
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print(sep + feature, end="")
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sep = ", "
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print("")
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def printCsv(data, count=False):
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"""Print trace in CSV format"""
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c = 0
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for row in data:
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if count:
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print(c, end="")
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c += 1
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sep = ", "
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else:
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sep = ""
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for r in row:
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if isinstance(r, str):
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print(sep + r, end="")
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else:
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print("{}{:.6}".format(sep, float(r)), end="")
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sep = ", "
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print("")
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def filterData(data, allFeatures, selection):
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"""Drop features not in the given set"""
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filteredData = []
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for d in data:
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row = []
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for f in allFeatures:
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if f in selection:
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if f in d:
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row.append(d[f])
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else:
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row.append("")
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filteredData.append(row)
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return filteredData
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