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privbayes-synthesizer/code/diffprivlib/__init__.py

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+# MIT License
+#
+# Copyright (C) IBM Corporation 2019
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
+# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
+# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit
+# persons to whom the Software is furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
+# Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
+# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+"""
+Differential Privacy Library for Python
+=======================================
+
+The IBM Differential Privacy Library is a library for writing, executing and experimenting with differential privacy.
+The Library includes a basic differential privacy mechanisms, the building blocks of differential privacy; tools for
+basic data analysis with differential privacy; and machine learning models that satisfy differential privacy.
+
+"""
+from diffprivlib import mechanisms
+from diffprivlib import models
+from diffprivlib import tools
+from diffprivlib.accountant import BudgetAccountant
+
+__version__ = '0.6.3'