cleanlab--cleanlab
Elías Snorrason
62 行
2.6 KiB
Python
62 行
2.6 KiB
Python
# Copyright (C) 2017-2023 Cleanlab Inc.
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# This file is part of cleanlab.
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#
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# cleanlab is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# cleanlab is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with cleanlab. If not, see <https://www.gnu.org/licenses/>.
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"""
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Module that handles the string representation of Datalab objects.
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"""
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from typing import TYPE_CHECKING
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if TYPE_CHECKING: # pragma: no cover
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from cleanlab.datalab.internal.data_issues import DataIssues
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class _Displayer:
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def __init__(self, data_issues: "DataIssues") -> None:
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self.data_issues = data_issues
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def __repr__(self) -> str:
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"""What is displayed in console if user executes: >>> datalab"""
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checks_run = not self.data_issues.issues.empty
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display_str = f"checks_run={checks_run}"
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num_examples = self.data_issues.get_info("statistics")["num_examples"]
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if num_examples is not None:
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display_str += f", num_examples={num_examples}"
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num_classes = self.data_issues.get_info("statistics")["num_classes"]
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if num_classes is not None:
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display_str += f", num_classes={num_classes}"
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if checks_run:
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issues_identified = self.data_issues.issue_summary["num_issues"].sum()
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display_str += f", issues_identified={issues_identified}"
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return f"Datalab({display_str})"
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def __str__(self) -> str:
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"""What is displayed if user executes: print(datalab)"""
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checks_run = not self.data_issues.issues.empty
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num_examples = self.data_issues.get_info("statistics").get("num_examples")
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num_classes = self.data_issues.get_info("statistics").get("num_classes")
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issues_identified = (
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self.data_issues.issue_summary["num_issues"].sum() if checks_run else "Not checked"
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)
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info_list = [
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f"Checks run: {'Yes' if checks_run else 'No'}",
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f"Number of examples: {num_examples if num_examples is not None else 'Unknown'}",
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f"Number of classes: {num_classes if num_classes is not None else 'Unknown'}",
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f"Issues identified: {issues_identified}",
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]
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return "Datalab:\n" + "\n".join(info_list)
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