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+Metadata-Version: 2.4
+Name: SQLAlchemy
+Version: 2.0.51
+Summary: Database Abstraction Library
+Home-page: https://www.sqlalchemy.org
+Author: Mike Bayer
+Author-email: mike_mp@zzzcomputing.com
+License: MIT
+Project-URL: Documentation, https://docs.sqlalchemy.org
+Project-URL: Issue Tracker, https://github.com/sqlalchemy/sqlalchemy/
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Database :: Front-Ends
+Requires-Python: >=3.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: importlib-metadata; python_version < "3.8"
+Requires-Dist: greenlet>=1; platform_machine == "aarch64" or (platform_machine == "ppc64le" or (platform_machine == "x86_64" or (platform_machine == "amd64" or (platform_machine == "AMD64" or (platform_machine == "win32" or platform_machine == "WIN32")))))
+Requires-Dist: typing-extensions>=4.6.0
+Provides-Extra: asyncio
+Requires-Dist: greenlet>=1; extra == "asyncio"
+Provides-Extra: mypy
+Requires-Dist: mypy>=0.910; extra == "mypy"
+Provides-Extra: mssql
+Requires-Dist: pyodbc; extra == "mssql"
+Provides-Extra: mssql-pymssql
+Requires-Dist: pymssql; extra == "mssql-pymssql"
+Provides-Extra: mssql-pyodbc
+Requires-Dist: pyodbc; extra == "mssql-pyodbc"
+Provides-Extra: mysql
+Requires-Dist: mysqlclient>=1.4.0; extra == "mysql"
+Provides-Extra: mysql-connector
+Requires-Dist: mysql-connector-python; extra == "mysql-connector"
+Provides-Extra: mariadb-connector
+Requires-Dist: mariadb!=1.1.10,!=1.1.2,!=1.1.5,>=1.0.1; extra == "mariadb-connector"
+Provides-Extra: oracle
+Requires-Dist: cx_oracle>=8; extra == "oracle"
+Provides-Extra: oracle-oracledb
+Requires-Dist: oracledb>=1.0.1; extra == "oracle-oracledb"
+Provides-Extra: postgresql
+Requires-Dist: psycopg2>=2.7; extra == "postgresql"
+Provides-Extra: postgresql-pg8000
+Requires-Dist: pg8000>=1.29.1; extra == "postgresql-pg8000"
+Provides-Extra: postgresql-asyncpg
+Requires-Dist: greenlet>=1; extra == "postgresql-asyncpg"
+Requires-Dist: asyncpg; extra == "postgresql-asyncpg"
+Provides-Extra: postgresql-psycopg2binary
+Requires-Dist: psycopg2-binary; extra == "postgresql-psycopg2binary"
+Provides-Extra: postgresql-psycopg2cffi
+Requires-Dist: psycopg2cffi; extra == "postgresql-psycopg2cffi"
+Provides-Extra: postgresql-psycopg
+Requires-Dist: psycopg>=3.0.7; extra == "postgresql-psycopg"
+Provides-Extra: postgresql-psycopgbinary
+Requires-Dist: psycopg[binary]>=3.0.7; extra == "postgresql-psycopgbinary"
+Provides-Extra: pymysql
+Requires-Dist: pymysql; extra == "pymysql"
+Provides-Extra: aiomysql
+Requires-Dist: greenlet>=1; extra == "aiomysql"
+Requires-Dist: aiomysql>=0.2.0; extra == "aiomysql"
+Provides-Extra: aioodbc
+Requires-Dist: greenlet>=1; extra == "aioodbc"
+Requires-Dist: aioodbc; extra == "aioodbc"
+Provides-Extra: asyncmy
+Requires-Dist: greenlet>=1; extra == "asyncmy"
+Requires-Dist: asyncmy!=0.2.4,!=0.2.6,>=0.2.3; extra == "asyncmy"
+Provides-Extra: aiosqlite
+Requires-Dist: greenlet>=1; extra == "aiosqlite"
+Requires-Dist: aiosqlite; extra == "aiosqlite"
+Requires-Dist: typing_extensions!=3.10.0.1; extra == "aiosqlite"
+Provides-Extra: sqlcipher
+Requires-Dist: sqlcipher3_binary; extra == "sqlcipher"
+Dynamic: license-file
+
+SQLAlchemy
+==========
+
+|PyPI| |Python| |Downloads|
+
+.. |PyPI| image:: https://img.shields.io/pypi/v/sqlalchemy
+    :target: https://pypi.org/project/sqlalchemy
+    :alt: PyPI
+
+.. |Python| image:: https://img.shields.io/pypi/pyversions/sqlalchemy
+    :target: https://pypi.org/project/sqlalchemy
+    :alt: PyPI - Python Version
+
+.. |Downloads| image:: https://static.pepy.tech/badge/sqlalchemy/month
+    :target: https://pepy.tech/project/sqlalchemy
+    :alt: PyPI - Downloads
+
+
+The Python SQL Toolkit and Object Relational Mapper
+
+Introduction
+-------------
+
+SQLAlchemy is the Python SQL toolkit and Object Relational Mapper
+that gives application developers the full power and
+flexibility of SQL. SQLAlchemy provides a full suite
+of well known enterprise-level persistence patterns,
+designed for efficient and high-performing database
+access, adapted into a simple and Pythonic domain
+language.
+
+Major SQLAlchemy features include:
+
+* An industrial strength ORM, built
+  from the core on the identity map, unit of work,
+  and data mapper patterns.   These patterns
+  allow transparent persistence of objects
+  using a declarative configuration system.
+  Domain models
+  can be constructed and manipulated naturally,
+  and changes are synchronized with the
+  current transaction automatically.
+* A relationally-oriented query system, exposing
+  the full range of SQL's capabilities
+  explicitly, including joins, subqueries,
+  correlation, and most everything else,
+  in terms of the object model.
+  Writing queries with the ORM uses the same
+  techniques of relational composition you use
+  when writing SQL.  While you can drop into
+  literal SQL at any time, it's virtually never
+  needed.
+* A comprehensive and flexible system
+  of eager loading for related collections and objects.
+  Collections are cached within a session,
+  and can be loaded on individual access, all
+  at once using joins, or by query per collection
+  across the full result set.
+* A Core SQL construction system and DBAPI
+  interaction layer.  The SQLAlchemy Core is
+  separate from the ORM and is a full database
+  abstraction layer in its own right, and includes
+  an extensible Python-based SQL expression
+  language, schema metadata, connection pooling,
+  type coercion, and custom types.
+* All primary and foreign key constraints are
+  assumed to be composite and natural.  Surrogate
+  integer primary keys are of course still the
+  norm, but SQLAlchemy never assumes or hardcodes
+  to this model.
+* Database introspection and generation.  Database
+  schemas can be "reflected" in one step into
+  Python structures representing database metadata;
+  those same structures can then generate
+  CREATE statements right back out - all within
+  the Core, independent of the ORM.
+
+SQLAlchemy's philosophy:
+
+* SQL databases behave less and less like object
+  collections the more size and performance start to
+  matter; object collections behave less and less like
+  tables and rows the more abstraction starts to matter.
+  SQLAlchemy aims to accommodate both of these
+  principles.
+* An ORM doesn't need to hide the "R".   A relational
+  database provides rich, set-based functionality
+  that should be fully exposed.   SQLAlchemy's
+  ORM provides an open-ended set of patterns
+  that allow a developer to construct a custom
+  mediation layer between a domain model and
+  a relational schema, turning the so-called
+  "object relational impedance" issue into
+  a distant memory.
+* The developer, in all cases, makes all decisions
+  regarding the design, structure, and naming conventions
+  of both the object model as well as the relational
+  schema.   SQLAlchemy only provides the means
+  to automate the execution of these decisions.
+* With SQLAlchemy, there's no such thing as
+  "the ORM generated a bad query" - you
+  retain full control over the structure of
+  queries, including how joins are organized,
+  how subqueries and correlation is used, what
+  columns are requested.  Everything SQLAlchemy
+  does is ultimately the result of a developer-initiated 
+  decision.
+* Don't use an ORM if the problem doesn't need one.
+  SQLAlchemy consists of a Core and separate ORM
+  component.   The Core offers a full SQL expression
+  language that allows Pythonic construction
+  of SQL constructs that render directly to SQL
+  strings for a target database, returning
+  result sets that are essentially enhanced DBAPI
+  cursors.
+* Transactions should be the norm.  With SQLAlchemy's
+  ORM, nothing goes to permanent storage until
+  commit() is called.  SQLAlchemy encourages applications
+  to create a consistent means of delineating
+  the start and end of a series of operations.
+* Never render a literal value in a SQL statement.
+  Bound parameters are used to the greatest degree
+  possible, allowing query optimizers to cache
+  query plans effectively and making SQL injection
+  attacks a non-issue.
+
+Documentation
+-------------
+
+Latest documentation is at:
+
+https://www.sqlalchemy.org/docs/
+
+Installation / Requirements
+---------------------------
+
+Full documentation for installation is at
+`Installation <https://www.sqlalchemy.org/docs/intro.html#installation>`_.
+
+Getting Help / Development / Bug reporting
+------------------------------------------
+
+Please refer to the `SQLAlchemy Community Guide <https://www.sqlalchemy.org/support.html>`_.
+
+Code of Conduct
+---------------
+
+Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
+constructive communication between users and developers.
+Please see our current Code of Conduct at
+`Code of Conduct <https://www.sqlalchemy.org/codeofconduct.html>`_.
+
+License
+-------
+
+SQLAlchemy is distributed under the `MIT license
+<https://www.opensource.org/licenses/mit-license.php>`_.
+

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+Metadata-Version: 2.4
+Name: pip
+Version: 26.1.2
+Summary: The PyPA recommended tool for installing Python packages.
+Author-email: The pip developers <distutils-sig@python.org>
+Requires-Python: >=3.10
+Description-Content-Type: text/x-rst
+License-Expression: MIT
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Topic :: Software Development :: Build Tools
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+License-File: AUTHORS.txt
+License-File: LICENSE.txt
+License-File: src/pip/_vendor/cachecontrol/LICENSE.txt
+License-File: src/pip/_vendor/certifi/LICENSE
+License-File: src/pip/_vendor/distlib/LICENSE.txt
+License-File: src/pip/_vendor/distro/LICENSE
+License-File: src/pip/_vendor/idna/LICENSE.md
+License-File: src/pip/_vendor/msgpack/COPYING
+License-File: src/pip/_vendor/packaging/LICENSE
+License-File: src/pip/_vendor/packaging/LICENSE.APACHE
+License-File: src/pip/_vendor/packaging/LICENSE.BSD
+License-File: src/pip/_vendor/pkg_resources/LICENSE
+License-File: src/pip/_vendor/platformdirs/LICENSE
+License-File: src/pip/_vendor/pygments/LICENSE
+License-File: src/pip/_vendor/pyproject_hooks/LICENSE
+License-File: src/pip/_vendor/requests/LICENSE
+License-File: src/pip/_vendor/resolvelib/LICENSE
+License-File: src/pip/_vendor/rich/LICENSE
+License-File: src/pip/_vendor/tomli/LICENSE
+License-File: src/pip/_vendor/tomli_w/LICENSE
+License-File: src/pip/_vendor/truststore/LICENSE
+License-File: src/pip/_vendor/urllib3/LICENSE.txt
+Project-URL: Changelog, https://pip.pypa.io/en/stable/news/
+Project-URL: Documentation, https://pip.pypa.io
+Project-URL: Homepage, https://pip.pypa.io/
+Project-URL: Source, https://github.com/pypa/pip
+
+pip - The Python Package Installer
+==================================
+
+.. |pypi-version| image:: https://img.shields.io/pypi/v/pip.svg
+   :target: https://pypi.org/project/pip/
+   :alt: PyPI
+
+.. |python-versions| image:: https://img.shields.io/pypi/pyversions/pip
+   :target: https://pypi.org/project/pip
+   :alt: PyPI - Python Version
+
+.. |docs-badge| image:: https://readthedocs.org/projects/pip/badge/?version=latest
+   :target: https://pip.pypa.io/en/latest
+   :alt: Documentation
+
+|pypi-version| |python-versions| |docs-badge|
+
+pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
+
+Please take a look at our documentation for how to install and use pip:
+
+* `Installation`_
+* `Usage`_
+
+We release updates regularly, with a new version every 3 months. Find more details in our documentation:
+
+* `Release notes`_
+* `Release process`_
+
+If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms:
+
+* `Issue tracking`_
+* `Discourse channel`_
+* `User IRC`_
+
+If you want to get involved, head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
+
+* `GitHub page`_
+* `Development documentation`_
+* `Development IRC`_
+
+Code of Conduct
+---------------
+
+Everyone interacting in the pip project's codebases, issue trackers, chat
+rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
+
+.. _package installer: https://packaging.python.org/guides/tool-recommendations/
+.. _Python Package Index: https://pypi.org
+.. _Installation: https://pip.pypa.io/en/stable/installation/
+.. _Usage: https://pip.pypa.io/en/stable/
+.. _Release notes: https://pip.pypa.io/en/stable/news.html
+.. _Release process: https://pip.pypa.io/en/latest/development/release-process/
+.. _GitHub page: https://github.com/pypa/pip
+.. _Development documentation: https://pip.pypa.io/en/latest/development
+.. _Issue tracking: https://github.com/pypa/pip/issues
+.. _Discourse channel: https://discuss.python.org/c/packaging
+.. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa
+.. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev
+.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md
+

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+Metadata-Version: 2.1
+Name: et_xmlfile
+Version: 2.0.0
+Summary: An implementation of lxml.xmlfile for the standard library
+Home-page: https://foss.heptapod.net/openpyxl/et_xmlfile
+Author: See AUTHORS.txt
+Author-email: charlie.clark@clark-consulting.eu
+License: MIT
+Project-URL: Documentation, https://openpyxl.pages.heptapod.net/et_xmlfile/
+Project-URL: Source, https://foss.heptapod.net/openpyxl/et_xmlfile
+Project-URL: Tracker, https://foss.heptapod.net/openpyxl/et_xmfile/-/issues
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Operating System :: MacOS :: MacOS X
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Requires-Python: >=3.8
+License-File: LICENCE.python
+License-File: LICENCE.rst
+License-File: AUTHORS.txt
+
+.. image:: https://foss.heptapod.net/openpyxl/et_xmlfile/badges/branch/default/coverage.svg
+    :target: https://coveralls.io/bitbucket/openpyxl/et_xmlfile?branch=default
+    :alt: coverage status
+
+et_xmfile
+=========
+
+XML can use lots of memory, and et_xmlfile is a low memory library for creating large XML files
+And, although the standard library already includes an incremental parser, `iterparse` it has no equivalent when writing XML. Once an element has been added to the tree, it is written to
+the file or stream and the memory is then cleared.
+
+This module is based upon the `xmlfile module from lxml <http://lxml.de/api.html#incremental-xml-generation>`_ with the aim of allowing code to be developed that will work with both libraries.
+It was developed initially for the openpyxl project, but is now a standalone module.
+
+The code was written by Elias Rabel as part of the `Python Düsseldorf <http://pyddf.de>`_ openpyxl sprint in September 2014.
+
+Proper support for incremental writing was provided by Daniel Hillier in 2024
+
+Note on performance
+-------------------
+
+The code was not developed with performance in mind, but turned out to be faster than the existing SAX-based implementation but is generally slower than lxml's xmlfile.
+There is one area where an optimisation for lxml may negatively affect the performance of et_xmfile and that is when using the `.element()` method on the xmlfile context manager. It is, therefore, recommended simply to create Elements write these directly, as in the sample code.

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+Metadata-Version: 2.4
+Name: alembic
+Version: 1.18.5
+Summary: A database migration tool for SQLAlchemy.
+Author-email: Mike Bayer <mike_mp@zzzcomputing.com>
+License-Expression: MIT
+Project-URL: Homepage, https://alembic.sqlalchemy.org
+Project-URL: Documentation, https://alembic.sqlalchemy.org/en/latest/
+Project-URL: Changelog, https://alembic.sqlalchemy.org/en/latest/changelog.html
+Project-URL: Source, https://github.com/sqlalchemy/alembic/
+Project-URL: Issue Tracker, https://github.com/sqlalchemy/alembic/issues/
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Environment :: Console
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Database :: Front-Ends
+Requires-Python: >=3.10
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: SQLAlchemy>=1.4.23
+Requires-Dist: Mako
+Requires-Dist: typing-extensions>=4.12
+Requires-Dist: tomli; python_version < "3.11"
+Provides-Extra: tz
+Requires-Dist: tzdata; extra == "tz"
+Dynamic: license-file
+
+Alembic is a database migrations tool written by the author
+of `SQLAlchemy <http://www.sqlalchemy.org>`_.  A migrations tool
+offers the following functionality:
+
+* Can emit ALTER statements to a database in order to change
+  the structure of tables and other constructs
+* Provides a system whereby "migration scripts" may be constructed;
+  each script indicates a particular series of steps that can "upgrade" a
+  target database to a new version, and optionally a series of steps that can
+  "downgrade" similarly, doing the same steps in reverse.
+* Allows the scripts to execute in some sequential manner.
+
+The goals of Alembic are:
+
+* Very open ended and transparent configuration and operation.   A new
+  Alembic environment is generated from a set of templates which is selected
+  among a set of options when setup first occurs. The templates then deposit a
+  series of scripts that define fully how database connectivity is established
+  and how migration scripts are invoked; the migration scripts themselves are
+  generated from a template within that series of scripts. The scripts can
+  then be further customized to define exactly how databases will be
+  interacted with and what structure new migration files should take.
+* Full support for transactional DDL.   The default scripts ensure that all
+  migrations occur within a transaction - for those databases which support
+  this (Postgresql, Microsoft SQL Server), migrations can be tested with no
+  need to manually undo changes upon failure.
+* Minimalist script construction.  Basic operations like renaming
+  tables/columns, adding/removing columns, changing column attributes can be
+  performed through one line commands like alter_column(), rename_table(),
+  add_constraint(). There is no need to recreate full SQLAlchemy Table
+  structures for simple operations like these - the functions themselves
+  generate minimalist schema structures behind the scenes to achieve the given
+  DDL sequence.
+* "auto generation" of migrations. While real world migrations are far more
+  complex than what can be automatically determined, Alembic can still
+  eliminate the initial grunt work in generating new migration directives
+  from an altered schema.  The ``--autogenerate`` feature will inspect the
+  current status of a database using SQLAlchemy's schema inspection
+  capabilities, compare it to the current state of the database model as
+  specified in Python, and generate a series of "candidate" migrations,
+  rendering them into a new migration script as Python directives. The
+  developer then edits the new file, adding additional directives and data
+  migrations as needed, to produce a finished migration. Table and column
+  level changes can be detected, with constraints and indexes to follow as
+  well.
+* Full support for migrations generated as SQL scripts.   Those of us who
+  work in corporate environments know that direct access to DDL commands on a
+  production database is a rare privilege, and DBAs want textual SQL scripts.
+  Alembic's usage model and commands are oriented towards being able to run a
+  series of migrations into a textual output file as easily as it runs them
+  directly to a database. Care must be taken in this mode to not invoke other
+  operations that rely upon in-memory SELECTs of rows - Alembic tries to
+  provide helper constructs like bulk_insert() to help with data-oriented
+  operations that are compatible with script-based DDL.
+* Non-linear, dependency-graph versioning.   Scripts are given UUID
+  identifiers similarly to a DVCS, and the linkage of one script to the next
+  is achieved via human-editable markers within the scripts themselves.
+  The structure of a set of migration files is considered as a
+  directed-acyclic graph, meaning any migration file can be dependent
+  on any other arbitrary set of migration files, or none at
+  all.  Through this open-ended system, migration files can be organized
+  into branches, multiple roots, and mergepoints, without restriction.
+  Commands are provided to produce new branches, roots, and merges of
+  branches automatically.
+* Provide a library of ALTER constructs that can be used by any SQLAlchemy
+  application. The DDL constructs build upon SQLAlchemy's own DDLElement base
+  and can be used standalone by any application or script.
+* At long last, bring SQLite and its inability to ALTER things into the fold,
+  but in such a way that SQLite's very special workflow needs are accommodated
+  in an explicit way that makes the most of a bad situation, through the
+  concept of a "batch" migration, where multiple changes to a table can
+  be batched together to form a series of instructions for a single, subsequent
+  "move-and-copy" workflow.   You can even use "move-and-copy" workflow for
+  other databases, if you want to recreate a table in the background
+  on a busy system.
+
+Documentation and status of Alembic is at https://alembic.sqlalchemy.org/
+
+The SQLAlchemy Project
+======================
+
+Alembic is part of the `SQLAlchemy Project <https://www.sqlalchemy.org>`_ and
+adheres to the same standards and conventions as the core project.
+
+Development / Bug reporting / Pull requests
+___________________________________________
+
+Please refer to the
+`SQLAlchemy Community Guide <https://www.sqlalchemy.org/develop.html>`_ for
+guidelines on coding and participating in this project.
+
+Code of Conduct
+_______________
+
+Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
+constructive communication between users and developers.
+Please see our current Code of Conduct at
+`Code of Conduct <https://www.sqlalchemy.org/codeofconduct.html>`_.
+
+License
+=======
+
+Alembic is distributed under the `MIT license
+<https://opensource.org/licenses/MIT>`_.

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+Metadata-Version: 2.1
+Name: contourpy
+Version: 1.3.3
+Summary: Python library for calculating contours of 2D quadrilateral grids
+Author-Email: Ian Thomas <ianthomas23@gmail.com>
+License: BSD 3-Clause License
+         
+         Copyright (c) 2021-2025, ContourPy Developers.
+         All rights reserved.
+         
+         Redistribution and use in source and binary forms, with or without
+         modification, are permitted provided that the following conditions are met:
+         
+         1. Redistributions of source code must retain the above copyright notice, this
+            list of conditions and the following disclaimer.
+         
+         2. Redistributions in binary form must reproduce the above copyright notice,
+            this list of conditions and the following disclaimer in the documentation
+            and/or other materials provided with the distribution.
+         
+         3. Neither the name of the copyright holder nor the names of its
+            contributors may be used to endorse or promote products derived from
+            this software without specific prior written permission.
+         
+         THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+         AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+         IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+         DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+         FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+         DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+         SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+         CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+         OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+         OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+         
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Programming Language :: C++
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: 3.14
+Classifier: Topic :: Scientific/Engineering :: Information Analysis
+Classifier: Topic :: Scientific/Engineering :: Mathematics
+Classifier: Topic :: Scientific/Engineering :: Visualization
+Project-URL: Homepage, https://github.com/contourpy/contourpy
+Project-URL: Changelog, https://contourpy.readthedocs.io/en/latest/changelog.html
+Project-URL: Documentation, https://contourpy.readthedocs.io
+Project-URL: Repository, https://github.com/contourpy/contourpy
+Requires-Python: >=3.11
+Requires-Dist: numpy>=1.25
+Provides-Extra: docs
+Requires-Dist: furo; extra == "docs"
+Requires-Dist: sphinx>=7.2; extra == "docs"
+Requires-Dist: sphinx-copybutton; extra == "docs"
+Provides-Extra: bokeh
+Requires-Dist: bokeh; extra == "bokeh"
+Requires-Dist: selenium; extra == "bokeh"
+Provides-Extra: mypy
+Requires-Dist: contourpy[bokeh,docs]; extra == "mypy"
+Requires-Dist: bokeh; extra == "mypy"
+Requires-Dist: docutils-stubs; extra == "mypy"
+Requires-Dist: mypy==1.17.0; extra == "mypy"
+Requires-Dist: types-Pillow; extra == "mypy"
+Provides-Extra: test
+Requires-Dist: contourpy[test-no-images]; extra == "test"
+Requires-Dist: matplotlib; extra == "test"
+Requires-Dist: Pillow; extra == "test"
+Provides-Extra: test-no-images
+Requires-Dist: pytest; extra == "test-no-images"
+Requires-Dist: pytest-cov; extra == "test-no-images"
+Requires-Dist: pytest-rerunfailures; extra == "test-no-images"
+Requires-Dist: pytest-xdist; extra == "test-no-images"
+Requires-Dist: wurlitzer; extra == "test-no-images"
+Description-Content-Type: text/markdown
+
+<img alt="ContourPy" src="https://raw.githubusercontent.com/contourpy/contourpy/main/docs/_static/contourpy_logo_horiz.svg" height="90">
+
+ContourPy is a Python library for calculating contours of 2D quadrilateral grids.  It is written in C++11 and wrapped using pybind11.
+
+It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions.  It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.
+
+  * **Documentation**: https://contourpy.readthedocs.io
+  * **Source code**: https://github.com/contourpy/contourpy
+
+| | |
+| --- | --- |
+| Latest release | [![PyPI version](https://img.shields.io/pypi/v/contourpy.svg?label=pypi&color=fdae61)](https://pypi.python.org/pypi/contourpy) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/contourpy.svg?label=conda-forge&color=a6d96a)](https://anaconda.org/conda-forge/contourpy) |
+| Downloads | [![PyPi downloads](https://img.shields.io/pypi/dm/contourpy?label=pypi&style=flat&color=fdae61)](https://pepy.tech/project/contourpy) |
+| Python version | [![Platforms](https://img.shields.io/pypi/pyversions/contourpy?color=fdae61)](https://pypi.org/project/contourpy/) |
+| Coverage | [![Codecov](https://img.shields.io/codecov/c/gh/contourpy/contourpy?color=fdae61&label=codecov)](https://app.codecov.io/gh/contourpy/contourpy) |

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.csv

@@ -0,0 +1,2 @@
+biou_contour_mean,biou_contour_std,biou_contour_within_run_std_mean,biou_mean,biou_std,biou_within_run_std_mean,completed_phase_count,completed_phases,dataset_percent,dice_mean,dice_std,dice_within_run_std_mean,hd95_mean,hd95_std,hd95_within_run_std_mean,iou_mean,iou_std,iou_within_run_std_mean,n_runs,ppv_mean,ppv_std,ppv_within_run_std_mean,sen_mean,sen_std,sen_within_run_std_mean,split_generation_mode,strategy
+0.14274893701076508,0.0,0.13207420706748962,0.4235888123512268,0.0,0.2640605866909027,1,1,100,0.7580860257148743,0.0,0.2920907735824585,15.369906425476074,0.0,21.321483612060547,0.6805214881896973,0.0,0.30149468779563904,1,0.847917914390564,0.0,0.2595667541027069,0.7454960942268372,0.0,0.310700386762619,fixed_stratified_phases_8_1_1,3

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.json

@@ -0,0 +1,31 @@
+[
+  {
+    "biou_contour_mean": 0.14274893701076508,
+    "biou_contour_std": 0.0,
+    "biou_contour_within_run_std_mean": 0.13207420706748962,
+    "biou_mean": 0.4235888123512268,
+    "biou_std": 0.0,
+    "biou_within_run_std_mean": 0.2640605866909027,
+    "completed_phase_count": 1,
+    "completed_phases": "1",
+    "dataset_percent": 100,
+    "dice_mean": 0.7580860257148743,
+    "dice_std": 0.0,
+    "dice_within_run_std_mean": 0.2920907735824585,
+    "hd95_mean": 15.369906425476074,
+    "hd95_std": 0.0,
+    "hd95_within_run_std_mean": 21.321483612060547,
+    "iou_mean": 0.6805214881896973,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.30149468779563904,
+    "n_runs": 1,
+    "ppv_mean": 0.847917914390564,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.2595667541027069,
+    "sen_mean": 0.7454960942268372,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.310700386762619,
+    "split_generation_mode": "fixed_stratified_phases_8_1_1",
+    "strategy": 3
+  }
+]

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.csv

@@ -0,0 +1,2 @@
+biou_contour_mean,biou_contour_std,biou_mean,biou_std,dataset_percent,dice_mean,dice_std,evaluation_path,hd95_mean,hd95_std,iou_mean,iou_std,phase_index,phase_test_fold_index,phase_val_fold_index,ppv_mean,ppv_std,run_dir,sen_mean,sen_std,split_generation_mode,split_manifest_path,split_repeat_index,strategy,subset_manifest_path,subset_repeat_index
+0.14274893701076508,0.13207420706748962,0.4235888123512268,0.2640605866909027,100,0.7580860257148743,0.2920907735824585,/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation.json,15.369906425476074,21.321483612060547,0.6805214881896973,0.30149468779563904,1,1,2,0.847917914390564,0.2595667541027069,/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final,0.7454960942268372,0.310700386762619,fixed_stratified_phases_8_1_1,/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json,1,3,/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json,1

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.json

@@ -0,0 +1,30 @@
+[
+  {
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+    "biou_contour_std": 0.13207420706748962,
+    "biou_mean": 0.4235888123512268,
+    "biou_std": 0.2640605866909027,
+    "dataset_percent": 100,
+    "dice_mean": 0.7580860257148743,
+    "dice_std": 0.2920907735824585,
+    "evaluation_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation.json",
+    "hd95_mean": 15.369906425476074,
+    "hd95_std": 21.321483612060547,
+    "iou_mean": 0.6805214881896973,
+    "iou_std": 0.30149468779563904,
+    "phase_index": 1,
+    "phase_test_fold_index": 1,
+    "phase_val_fold_index": 2,
+    "ppv_mean": 0.847917914390564,
+    "ppv_std": 0.2595667541027069,
+    "run_dir": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final",
+    "sen_mean": 0.7454960942268372,
+    "sen_std": 0.310700386762619,
+    "split_generation_mode": "fixed_stratified_phases_8_1_1",
+    "split_manifest_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json",
+    "split_repeat_index": 1,
+    "strategy": 3,
+    "subset_manifest_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json",
+    "subset_repeat_index": 1
+  }
+]

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/norm_stats_BUSI_with_classes_stratified_80_10_10_100pct_phase001_repeat01.json

@@ -0,0 +1,525 @@
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runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation.json

@@ -0,0 +1,836 @@
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+      "inference_time_ms": 102.44230134412646,
+      "inference_time_seconds": 0.10244230134412646,
+      "iou": 8.532422480168731e-08,
+      "ppv": 9.250692946281874e-08,
+      "sample_id": "BUSI_0054_B",
+      "sen": 1.0988998913188009e-06
+    },
+    {
+      "biou": 0.06638424672427637,
+      "biou_contour": 0.02849766101096865,
+      "dice": 0.1559925703429103,
+      "hd95": 75.06929779052734,
+      "inference_time_ms": 102.44230134412646,
+      "inference_time_seconds": 0.10244230134412646,
+      "iou": 0.0845943351405918,
+      "ppv": 0.08525782011244995,
+      "sample_id": "BUSI_0191_M",
+      "sen": 0.9157566434076999
+    },
+    {
+      "biou": 0.39858917132466115,
+      "biou_contour": 0.02392391199812823,
+      "dice": 0.9107806732908608,
+      "hd95": 3.056795597076416,
+      "inference_time_ms": 102.44230134412646,
+      "inference_time_seconds": 0.10244230134412646,
+      "iou": 0.8361774883807603,
+      "ppv": 1.0,
+      "sample_id": "BUSI_0135_M",
+      "sen": 0.8361774883807603
+    },
+    {
+      "biou": 0.1927461976428811,
+      "biou_contour": 0.07612488715401829,
+      "dice": 0.4983070118987863,
+      "hd95": 39.172508239746094,
+      "inference_time_ms": 265.646331012249,
+      "inference_time_seconds": 0.265646331012249,
+      "iou": 0.3318301641551986,
+      "ppv": 0.9832962156685728,
+      "sample_id": "BUSI_0079_M",
+      "sen": 0.3337112874636701
+    }
+  ],
+  "strategy": 3,
+  "timing": {
+    "avg_batch_inference_ms": 1267.3382088541985,
+    "avg_sample_inference_ms": 97.48755452724603,
+    "device": "cuda",
+    "mean_per_image_inference_ms": 97.48755452724603,
+    "mean_per_image_inference_seconds": 0.09748755452724603,
+    "num_batches": 5,
+    "num_samples": 65,
+    "scope": "test_set_evaluation",
+    "std_batch_inference_ms": 517.2329712617167,
+    "std_per_image_inference_ms": 22.848240746177975,
+    "std_per_image_inference_seconds": 0.022848240746177976,
+    "std_sample_inference_ms": 22.848240746177975,
+    "strategy": 3,
+    "tmax": 8,
+    "total_inference_ms": 6336.691044270992
+  }
+}

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation_summary.json

@@ -0,0 +1,4 @@
+{
+  "mean_dice": 0.7580860257148743,
+  "mean_iou": 0.6805214881896973
+}

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/low_iou_samples.csv

@@ -0,0 +1,5 @@
+sample_id
+BUSI_0313_B
+BUSI_0100_B
+BUSI_0108_B
+BUSI_0054_B

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/run_config.json

@@ -0,0 +1,112 @@
+{
+  "a3c_entropy_coeff": 0.0,
+  "aux_action_ce_mix": 0.8726103361457451,
+  "backbone_family": "smp",
+  "base_split_manifest_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json",
+  "best_checkpoint_metric_name": "val_refine_score",
+  "best_checkpoint_metrics": {
+    "2": "val_iou",
+    "3": "val_refine_score"
+  },
+  "biou_reward_weight": 1.0,
+  "boundary_reward_weight": 0.5,
+  "critic_loss_weight": 1.4015767132796022,
+  "data_root": "/workspace/BUSI_with_classes",
+  "dataset_name": "BUSI_with_classes",
+  "dataset_percent": 1.0,
+  "dataset_split_policy": "stratified",
+  "dataset_splits_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json",
+  "decoder_lr": 0.0,
+  "dropout_p": 0.015714592843367126,
+  "early_stopping_min_delta": 0.0,
+  "early_stopping_mode": "auto",
+  "early_stopping_monitor": "val_refine_score",
+  "early_stopping_patience": 30,
+  "early_stopping_start_epoch": 30,
+  "elastic_aug_prob": 0.4303652916281717,
+  "encoder_lr": 0.0,
+  "entropy_alpha_init": 0.005,
+  "entropy_lr": 6.618595597183474e-05,
+  "entropy_target_ratio": 0.2,
+  "epoch_probe_mode": "rolling_random",
+  "evaluation_checkpoint_mode": "best",
+  "execution_mode": "train_eval",
+  "folds_experiment_name": "stratified_holdout_v1",
+  "gae_lambda": 0.8306320445782609,
+  "gamma": 0.95,
+  "grad_clip_norm": 6.0,
+  "head_lr": 0.0001971844222061614,
+  "iou_reward_weight": 1.0,
+  "keep_correct_reward_weight": 0.05,
+  "max_epochs": 120,
+  "min_alpha": 0.00017019223026554014,
+  "normalization_cache_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/norm_stats_BUSI_with_classes_stratified_80_10_10_100pct_phase001_repeat01.json",
+  "num_actions": 3,
+  "percent_sampling_mode": "incremental",
+  "phase_count": 10,
+  "phase_index": 1,
+  "phase_test_fold_index": 1,
+  "phase_val_fold_index": 2,
+  "project_dir": "/workspace",
+  "refine_delta_large": 0.08,
+  "refine_delta_small": 0.03,
+  "rl_lr": 0.0001971844222061614,
+  "run_name": "phase=001 | repeat=01 | strategy=3 | pct=100%",
+  "run_type": "final",
+  "save_history_incrementally": false,
+  "scheduler_factor": 0.5,
+  "scheduler_min_lr": 1e-05,
+  "scheduler_patience": 5,
+  "scheduler_threshold": 0.001,
+  "selected_split_manifest_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json",
+  "smp_decoder_type": "Segformer",
+  "smp_encoder_depth": 5,
+  "smp_encoder_name": "mit_b0",
+  "smp_encoder_proj_dim": 192,
+  "smp_encoder_weights": "imagenet",
+  "split_generation_mode": "fixed_stratified_phases_8_1_1",
+  "split_repeat_index": 1,
+  "split_seed": 723450912,
+  "split_type": "80_10_10",
+  "strategy": 3,
+  "strategy2_checkpoint_mode": "specific",
+  "strategy2_checkpoint_path": "/workspace/best.pt",
+  "strategy3_advantage_normalize": false,
+  "strategy3_aux_boundary_dice_weight": 0.6979509040767587,
+  "strategy3_aux_ce_anneal_epochs": 15,
+  "strategy3_aux_ce_anneal_start_epoch": 25,
+  "strategy3_aux_ce_floor_fraction": 0.1,
+  "strategy3_aux_ce_weight": 0.4,
+  "strategy3_decoder_ce_weight": 0.0,
+  "strategy3_decoder_dice_weight": 0.0,
+  "strategy3_delta_max": 0.1,
+  "strategy3_exploration_eps": 0.1,
+  "strategy3_exploration_eps_epochs": 20,
+  "strategy3_freeze_bootstrapped_segmentation": true,
+  "strategy3_mc_disk_cache_enabled": true,
+  "strategy3_mc_disk_cache_read": true,
+  "strategy3_mc_disk_cache_write": true,
+  "strategy3_mc_dropout_enabled": true,
+  "strategy3_mc_dropout_p": 0.2,
+  "strategy3_mc_dropout_samples": 5,
+  "strategy3_r1_progress_weight": 0.0,
+  "strategy3_rl_grad_clip_norm": 0.25,
+  "strategy3_rl_loss_scale": 10.0,
+  "strategy3_sam_attention_grid": 64,
+  "strategy3_variant": "lite",
+  "subset_manifest_path": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json",
+  "subset_repeat_index": 1,
+  "subset_sampling_source": "incremental_chain",
+  "subset_seed": 594528567,
+  "threshold": 0.5922320465492188,
+  "tmax": 8,
+  "train_resume_mode": "off",
+  "train_resume_specific_checkpoint": "",
+  "train_subset_key": "100",
+  "train_subset_source": "incremental_chain",
+  "train_subset_variant": 1,
+  "vgg_feature_dilation": 1,
+  "vgg_feature_scales": 4,
+  "weight_decay": 2.7012557725439094e-06,
+  "write_epoch_diagnostic": true
+}

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/summary.json

@@ -0,0 +1,28 @@
+{
+  "best_model_metric": 0.5679422170735536,
+  "best_model_metric_name": "val_refine_score",
+  "best_val_biou": 0.42936887362064274,
+  "best_val_biou_gain": 0.08201904359339868,
+  "best_val_dice": 0.7894199535983483,
+  "best_val_iou": 0.7075720211220845,
+  "best_val_iou_gain": 0.04166853535266746,
+  "device_used": "cuda",
+  "early_stopping_best_value": 0.5679422170735536,
+  "early_stopping_min_delta": 0.0,
+  "early_stopping_monitor_mode": "max",
+  "early_stopping_monitor_name": "val_refine_score",
+  "early_stopping_patience": 30,
+  "early_stopping_start_epoch": 30,
+  "elapsed_seconds": 4497.418336391449,
+  "final_epoch": 107,
+  "resumed": false,
+  "run_type": "final",
+  "seconds_per_epoch": 42.03194706907896,
+  "strategy": 3,
+  "strategy3_bootstrap_loaded": true,
+  "strategy3_decoder_state": "frozen",
+  "strategy3_encoder_state": "frozen",
+  "strategy3_freeze_active": true,
+  "strategy3_freeze_requested": true,
+  "strategy3_segmentation_head_state": "frozen"
+}

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/timing.csv

@@ -0,0 +1,2 @@
+scope,strategy,tmax,device,num_batches,num_samples,total_inference_ms,avg_batch_inference_ms,std_batch_inference_ms,avg_sample_inference_ms,std_sample_inference_ms,mean_per_image_inference_ms,std_per_image_inference_ms,mean_per_image_inference_seconds,std_per_image_inference_seconds
+test_set_evaluation,3,8,cuda,5,65,6336.691044,1267.338209,517.232971,97.487555,22.848241,97.487555,22.848241,0.097487555,0.022848241

runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_timing_summary.json

@@ -0,0 +1,30 @@
+{
+  "definition": "training elapsed_seconds from summary.json, falling back to the ledger checkpoint elapsed_seconds",
+  "phase_count": 1,
+  "phases": [
+    {
+      "completed_strategies": [
+        3
+      ],
+      "completed_strategy_count": 1,
+      "phase_index": 1,
+      "runs": [
+        {
+          "dataset_percent": 100,
+          "phase_index": 1,
+          "run_dir": "/workspace/runs/Segformer_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final",
+          "strategy": 3,
+          "subset_repeat_index": 1,
+          "training_elapsed_seconds": 4497.418336391449
+        }
+      ],
+      "training_elapsed_seconds_mean": 4497.418336391449,
+      "training_elapsed_seconds_std": 0.0,
+      "updated_at": "2026-07-09T15:58:40.769139+00:00"
+    }
+  ],
+  "scope": "fixed_phase_training_time",
+  "training_elapsed_seconds_mean_across_phases": 4497.418336391449,
+  "training_elapsed_seconds_std_across_phases": 0.0,
+  "updated_at": "2026-07-09T15:58:40.769329+00:00"
+}

runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.csv

@@ -0,0 +1,2 @@
+biou_contour_mean,biou_contour_std,biou_contour_within_run_std_mean,biou_mean,biou_std,biou_within_run_std_mean,completed_phase_count,completed_phases,dataset_percent,dice_mean,dice_std,dice_within_run_std_mean,hd95_mean,hd95_std,hd95_within_run_std_mean,iou_mean,iou_std,iou_within_run_std_mean,n_runs,ppv_mean,ppv_std,ppv_within_run_std_mean,sen_mean,sen_std,sen_within_run_std_mean,split_generation_mode,strategy
+0.13619481027126312,0.0,0.11258642375469208,0.41795673966407776,0.0,0.2556069791316986,1,1,100,0.7564533352851868,0.0,0.2889266610145569,14.915136337280273,0.0,20.734710693359375,0.6757160425186157,0.0,0.2937898635864258,1,0.8260607123374939,0.0,0.2757968008518219,0.7524747252464294,0.0,0.2940015196800232,fixed_stratified_phases_8_1_1,3

runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/aggregated_metrics_by_percent_strategy.json

@@ -0,0 +1,31 @@
+[
+  {
+    "biou_contour_mean": 0.13619481027126312,
+    "biou_contour_std": 0.0,
+    "biou_contour_within_run_std_mean": 0.11258642375469208,
+    "biou_mean": 0.41795673966407776,
+    "biou_std": 0.0,
+    "biou_within_run_std_mean": 0.2556069791316986,
+    "completed_phase_count": 1,
+    "completed_phases": "1",
+    "dataset_percent": 100,
+    "dice_mean": 0.7564533352851868,
+    "dice_std": 0.0,
+    "dice_within_run_std_mean": 0.2889266610145569,
+    "hd95_mean": 14.915136337280273,
+    "hd95_std": 0.0,
+    "hd95_within_run_std_mean": 20.734710693359375,
+    "iou_mean": 0.6757160425186157,
+    "iou_std": 0.0,
+    "iou_within_run_std_mean": 0.2937898635864258,
+    "n_runs": 1,
+    "ppv_mean": 0.8260607123374939,
+    "ppv_std": 0.0,
+    "ppv_within_run_std_mean": 0.2757968008518219,
+    "sen_mean": 0.7524747252464294,
+    "sen_std": 0.0,
+    "sen_within_run_std_mean": 0.2940015196800232,
+    "split_generation_mode": "fixed_stratified_phases_8_1_1",
+    "strategy": 3
+  }
+]

runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.csv

@@ -0,0 +1,2 @@
+biou_contour_mean,biou_contour_std,biou_mean,biou_std,dataset_percent,dice_mean,dice_std,evaluation_path,hd95_mean,hd95_std,iou_mean,iou_std,phase_index,phase_test_fold_index,phase_val_fold_index,ppv_mean,ppv_std,run_dir,sen_mean,sen_std,split_generation_mode,split_manifest_path,split_repeat_index,strategy,subset_manifest_path,subset_repeat_index
+0.13619481027126312,0.11258642375469208,0.41795673966407776,0.2556069791316986,100,0.7564533352851868,0.2889266610145569,/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation.json,14.915136337280273,20.734710693359375,0.6757160425186157,0.2937898635864258,1,1,2,0.8260607123374939,0.2757968008518219,/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final,0.7524747252464294,0.2940015196800232,fixed_stratified_phases_8_1_1,/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json,1,3,/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json,1

runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/exports/raw_run_metrics.json

@@ -0,0 +1,30 @@
+[
+  {
+    "biou_contour_mean": 0.13619481027126312,
+    "biou_contour_std": 0.11258642375469208,
+    "biou_mean": 0.41795673966407776,
+    "biou_std": 0.2556069791316986,
+    "dataset_percent": 100,
+    "dice_mean": 0.7564533352851868,
+    "dice_std": 0.2889266610145569,
+    "evaluation_path": "/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final/evaluation.json",
+    "hd95_mean": 14.915136337280273,
+    "hd95_std": 20.734710693359375,
+    "iou_mean": 0.6757160425186157,
+    "iou_std": 0.2937898635864258,
+    "phase_index": 1,
+    "phase_test_fold_index": 1,
+    "phase_val_fold_index": 2,
+    "ppv_mean": 0.8260607123374939,
+    "ppv_std": 0.2757968008518219,
+    "run_dir": "/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/phase_001/pct_100/repeat_01/strategy_3/final",
+    "sen_mean": 0.7524747252464294,
+    "sen_std": 0.2940015196800232,
+    "split_generation_mode": "fixed_stratified_phases_8_1_1",
+    "split_manifest_path": "/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/splits/phase_001.json",
+    "split_repeat_index": 1,
+    "strategy": 3,
+    "subset_manifest_path": "/workspace/runs/Unet_B0_AB3_r3_only/repeated_holdout/stratified_holdout_v1/manifests/subsets/phase_001_pct_100_repeat_01.json",
+    "subset_repeat_index": 1
+  }
+]