Read the Docs build information
Build id: 3918996
Project: jij-inc-ommx
Version: 785
Commit: a7e89402f7b010fa4132343b9dd0d2b19dd051ce
Date: 2026-04-13T04:58:48.783438Z
State: finished
Success: True


[rtd-command-info] start-time: 2026-04-13T04:58:49.614652Z, end-time: 2026-04-13T04:58:50.225247Z, duration: 0, exit-code: 0
git clone --depth 1 https://github.com/Jij-Inc/ommx.git .
Cloning into '.'...

[rtd-command-info] start-time: 2026-04-13T04:58:50.309643Z, end-time: 2026-04-13T04:58:51.483883Z, duration: 1, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 pull/785/head:external-785
From https://github.com/Jij-Inc/ommx
 * [new ref]         refs/pull/785/head -> external-785
 * [new tag]         python-2.4.0       -> python-2.4.0
 * [new tag]         python-2.5.0       -> python-2.5.0
 * [new tag]         python-2.5.1       -> python-2.5.1
 * [new tag]         rust-2.3.1         -> rust-2.3.1
 * [new tag]         rust-2.4.0         -> rust-2.4.0
 * [new tag]         rust-2.5.0         -> rust-2.5.0
 * [new tag]         rust-2.5.1         -> rust-2.5.1

[rtd-command-info] start-time: 2026-04-13T04:58:52.193597Z, end-time: 2026-04-13T04:58:52.269588Z, duration: 0, exit-code: 0
git checkout --force a7e89402f7b010fa4132343b9dd0d2b19dd051ce
Note: switching to 'a7e89402f7b010fa4132343b9dd0d2b19dd051ce'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at a7e8940 Merge remote-tracking branch 'origin/main' into docs/sphinx-migration

[rtd-command-info] start-time: 2026-04-13T04:58:52.350238Z, end-time: 2026-04-13T04:58:52.386609Z, duration: 0, exit-code: 0
cat docs/en/.readthedocs.yaml
# .readthedocs.yaml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details

version: 2
build:
  os: ubuntu-24.04
  tools:
    python: "3.12"
  commands:
    - pip install myst-nb sphinx-book-theme sphinx-autoapi sphinx-fontawesome tomlkit
    - sphinx-build -b html docs/en $READTHEDOCS_OUTPUT/html

[rtd-command-info] start-time: 2026-04-13T04:58:56.632403Z, end-time: 2026-04-13T04:58:56.685107Z, duration: 0, exit-code: 0
asdf global python 3.12.10


[rtd-command-info] start-time: 2026-04-13T04:58:57.095122Z, end-time: 2026-04-13T04:59:15.380149Z, duration: 18, exit-code: 0
pip install myst-nb sphinx-book-theme sphinx-autoapi sphinx-fontawesome tomlkit
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  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
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Building wheels for collected packages: sphinx-fontawesome
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Installing collected packages: pure-eval, ptyprocess, fastjsonschema, zipp, wcwidth, urllib3, typing-extensions, traitlets, tornado, tomlkit, tabulate, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, soupsieve, snowballstemmer, six, rpds-py, roman-numerals, pyzmq, pyyaml, pygments, psutil, pexpect, parso, packaging, nest-asyncio, mdurl, MarkupSafe, imagesize, idna, greenlet, executing, docutils, decorator, debugpy, comm, click, charset_normalizer, certifi, Babel, attrs, asttokens, astroid, alabaster, stack_data, sqlalchemy, requests, referencing, python-dateutil, prompt_toolkit, matplotlib-inline, markdown-it-py, jupyter-core, Jinja2, jedi, ipython-pygments-lexers, importlib_metadata, beautifulsoup4, accessible-pygments, sphinx, mdit-py-plugins, jupyter-client, jsonschema-specifications, ipython, sphinx-fontawesome, sphinx-autoapi, pydata-sphinx-theme, myst-parser, jsonschema, ipykernel, sphinx-book-theme, nbformat, nbclient, jupyter-cache, myst-nb
Successfully installed Babel-2.18.0 Jinja2-3.1.6 MarkupSafe-3.0.3 accessible-pygments-0.0.5 alabaster-1.0.0 astroid-4.1.2 asttokens-3.0.1 attrs-26.1.0 beautifulsoup4-4.14.3 certifi-2026.2.25 charset_normalizer-3.4.7 click-8.3.2 comm-0.2.3 debugpy-1.8.20 decorator-5.2.1 docutils-0.22.4 executing-2.2.1 fastjsonschema-2.21.2 greenlet-3.4.0 idna-3.11 imagesize-2.0.0 importlib_metadata-9.0.0 ipykernel-7.2.0 ipython-9.12.0 ipython-pygments-lexers-1.1.1 jedi-0.19.2 jsonschema-4.26.0 jsonschema-specifications-2025.9.1 jupyter-cache-1.0.1 jupyter-client-8.8.0 jupyter-core-5.9.1 markdown-it-py-4.0.0 matplotlib-inline-0.2.1 mdit-py-plugins-0.5.0 mdurl-0.1.2 myst-nb-1.4.0 myst-parser-5.0.0 nbclient-0.10.4 nbformat-5.10.4 nest-asyncio-1.6.0 packaging-26.0 parso-0.8.6 pexpect-4.9.0 prompt_toolkit-3.0.52 psutil-7.2.2 ptyprocess-0.7.0 pure-eval-0.2.3 pydata-sphinx-theme-0.16.1 pygments-2.20.0 python-dateutil-2.9.0.post0 pyyaml-6.0.3 pyzmq-27.1.0 referencing-0.37.0 requests-2.33.1 roman-numerals-4.1.0 rpds-py-0.30.0 six-1.17.0 snowballstemmer-3.0.1 soupsieve-2.8.3 sphinx-9.1.0 sphinx-autoapi-3.8.0 sphinx-book-theme-1.2.0 sphinx-fontawesome-0.0.6 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 sqlalchemy-2.0.49 stack_data-0.6.3 tabulate-0.10.0 tomlkit-0.14.0 tornado-6.5.5 traitlets-5.14.3 typing-extensions-4.15.0 urllib3-2.6.3 wcwidth-0.6.0 zipp-3.23.0

[notice] A new release of pip is available: 25.0.1 -> 26.0.1
[notice] To update, run: pip3 install --upgrade pip
Reshimming asdf python...

[rtd-command-info] start-time: 2026-04-13T04:59:16.226982Z, end-time: 2026-04-13T04:59:50.052664Z, duration: 33, exit-code: 0
sphinx-build -b html docs/en $READTHEDOCS_OUTPUT/html
Running Sphinx v9.1.0
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myst v5.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'dollarmath'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=0, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
myst-nb v1.4.0: NbParserConfig(custom_formats={}, metadata_key='mystnb', cell_metadata_key='mystnb', kernel_rgx_aliases={}, eval_name_regex='^[a-zA-Z_][a-zA-Z0-9_]*$', execution_mode='off', execution_cache_path='', execution_excludepatterns=['release_note/ommx-1.*.md'], execution_timeout=300, execution_in_temp=False, execution_allow_errors=False, execution_raise_on_error=False, execution_show_tb=False, merge_streams=False, render_plugin='default', remove_code_source=False, remove_code_outputs=False, scroll_outputs=False, code_prompt_show='Show code cell {type}', code_prompt_hide='Hide code cell {type}', number_source_lines=False, output_stderr='show', render_text_lexer='myst-ansi', render_error_lexer='ipythontb', render_image_options={}, render_figure_options={}, render_markdown_format='commonmark', output_folder='build', append_css=True, metadata_to_fm=False)
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WARNING: Cannot resolve import of unknown module ommx.v1 in ommx.mps [autoapi.python_import_resolution]
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/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:42: WARNING: Line block ends without a blank line. [docutils]
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/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:42: ERROR: Undefined substitution referenced: "-----------". [docutils]
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/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:65: ERROR: Undefined substitution referenced: "constant". [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:65: ERROR: Undefined substitution referenced: "constant". [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:77: ERROR: Undefined substitution referenced: "----------------". [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_highs_adapter/adapter/index.rst:102: ERROR: Undefined substitution referenced: "--------------". [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_pyscipopt_adapter/adapter/index.rst:51: ERROR: Unknown directive type "doctest".

.. doctest::

    >>> from ommx_pyscipopt_adapter import OMMXPySCIPOptAdapter
    >>> from ommx.v1 import Instance, DecisionVariable

    >>> p = [10, 13, 18, 32, 7, 15]
    >>> w = [11, 15, 20, 35, 10, 33]
    >>> x = [DecisionVariable.binary(i) for i in range(6)]
    >>> instance = Instance.from_components(
    ...     decision_variables=x,
    ...     objective=sum(p[i] * x[i] for i in range(6)),
    ...     constraints=[sum(w[i] * x[i] for i in range(6)) <= 47],
    ...     sense=Instance.MAXIMIZE,
    ... )

    >>> adapter = OMMXPySCIPOptAdapter(instance)
    >>> model = adapter.solver_input
    >>> # ... some modification of model's parameters
    >>> model.optimize()

    >>> solution = adapter.decode(model)
    >>> solution.objective
    42.0 [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_pyscipopt_adapter/adapter/index.rst:85: ERROR: Unknown directive type "doctest".

.. doctest::

    The following example shows how to solve an unconstrained linear optimization problem with `x1` as the objective function.

    >>> from ommx_pyscipopt_adapter import OMMXPySCIPOptAdapter
    >>> from ommx.v1 import Instance, DecisionVariable

    >>> x1 = DecisionVariable.integer(1, lower=0, upper=5)
    >>> ommx_instance = Instance.from_components(
    ...     decision_variables=[x1],
    ...     objective=x1,
    ...     constraints=[],
    ...     sense=Instance.MINIMIZE,
    ... )
    >>> adapter = OMMXPySCIPOptAdapter(ommx_instance)
    >>> model = adapter.solver_input
    >>> model.optimize()

    >>> ommx_state = adapter.decode_to_state(model)
    >>> ommx_state.entries
    {1: 0.0} [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_pyscipopt_adapter/adapter/index.rst:128: ERROR: Unknown directive type "doctest".

.. doctest::

    >>> from ommx.v1 import Instance, DecisionVariable
    >>> from ommx.v1 import Solution
    >>> from ommx_pyscipopt_adapter import OMMXPySCIPOptAdapter

    >>> p = [10, 13, 18, 32, 7, 15]
    >>> w = [11, 15, 20, 35, 10, 33]
    >>> x = [DecisionVariable.binary(i) for i in range(6)]
    >>> instance = Instance.from_components(
    ...     decision_variables=x,
    ...     objective=sum(p[i] * x[i] for i in range(6)),
    ...     constraints=[(sum(w[i] * x[i] for i in range(6)) <= 47).set_id(0)],
    ...     sense=Instance.MAXIMIZE,
    ... )

    Solve it

    >>> solution = OMMXPySCIPOptAdapter.solve(instance)

    Check output

    >>> sorted([(id, value) for id, value in solution.state.entries.items()])
    [(0, 1.0), (1, 0.0), (2, 0.0), (3, 1.0), (4, 0.0), (5, 0.0)]
    >>> solution.feasible
    True
    >>> assert solution.optimality == Solution.OPTIMAL

    p[0] + p[3] = 42
    w[0] + w[3] = 46 <= 47

    >>> solution.objective
    42.0
    >>> solution.get_constraint_value(0)
    -1.0 [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_pyscipopt_adapter/adapter/index.rst:166: ERROR: Unknown directive type "doctest".

.. doctest::

        >>> from ommx.v1 import Instance, DecisionVariable
        >>> from ommx_pyscipopt_adapter import OMMXPySCIPOptAdapter

        >>> x = DecisionVariable.integer(0, upper=3, lower=0)
        >>> instance = Instance.from_components(
        ...     decision_variables=[x],
        ...     objective=x,
        ...     constraints=[x >= 4],
        ...     sense=Instance.MAXIMIZE,
        ... )

        >>> OMMXPySCIPOptAdapter.solve(instance)
        Traceback (most recent call last):
            ...
        ommx.adapter.InfeasibleDetected: Model was infeasible [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_pyscipopt_adapter/adapter/index.rst:186: ERROR: Unknown directive type "doctest".

.. doctest::

        >>> from ommx.v1 import Instance, DecisionVariable
        >>> from ommx_pyscipopt_adapter import OMMXPySCIPOptAdapter

        >>> x = DecisionVariable.integer(0, lower=0)
        >>> instance = Instance.from_components(
        ...     decision_variables=[x],
        ...     objective=x,
        ...     constraints=[],
        ...     sense=Instance.MAXIMIZE,
        ... )

        >>> OMMXPySCIPOptAdapter.solve(instance)
        Traceback (most recent call last):
            ...
        ommx.adapter.UnboundedDetected: Model was unbounded [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:51: ERROR: Unknown directive type "doctest".

.. doctest::

    >>> from ommx.v1 import Instance, DecisionVariable
    >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter

    >>> p = [10, 13, 18, 32, 7, 15]
    >>> w = [11, 15, 20, 35, 10, 33]
    >>> x = [DecisionVariable.binary(i) for i in range(6)]
    >>> instance = Instance.from_components(
    ...     decision_variables=x,
    ...     objective=sum(p[i] * x[i] for i in range(6)),
    ...     constraints=[sum(w[i] * x[i] for i in range(6)) <= 47],
    ...     sense=Instance.MAXIMIZE,
    ... )

    >>> adapter = OMMXPythonMIPAdapter(instance)
    >>> model = adapter.solver_input
    >>> # ... some modification of model's parameters
    >>> model.optimize()
    <OptimizationStatus.OPTIMAL: 0>

    >>> solution = adapter.decode(model)
    >>> solution.objective
    42.0 [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:86: ERROR: Unknown directive type "doctest".

.. doctest::

    The following example of solving an unconstrained linear optimization problem with x1 as the objective function.

    >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter
    >>> from ommx.v1 import Instance, DecisionVariable

    >>> x1 = DecisionVariable.integer(1, lower=0, upper=5)
    >>> ommx_instance = Instance.from_components(
    ...     decision_variables=[x1],
    ...     objective=x1,
    ...     constraints=[],
    ...     sense=Instance.MINIMIZE,
    ... )
    >>> adapter = OMMXPythonMIPAdapter(ommx_instance)
    >>> model = adapter.solver_input
    >>> model.optimize()
    <OptimizationStatus.OPTIMAL: 0>

    >>> ommx_state = adapter.decode_to_state(model)
    >>> ommx_state.entries
    {1: 0.0} [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:126: ERROR: Unknown directive type "doctest".

.. doctest::

    >>> from ommx.v1 import Instance, DecisionVariable
    >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter

    >>> p = [10, 13, 18, 32, 7, 15]
    >>> w = [11, 15, 20, 35, 10, 33]
    >>> x = [DecisionVariable.binary(i) for i in range(6)]
    >>> instance = Instance.from_components(
    ...     decision_variables=x,
    ...     objective=sum(p[i] * x[i] for i in range(6)),
    ...     constraints=[(sum(w[i] * x[i] for i in range(6)) <= 47).set_id(0)],
    ...     sense=Instance.MAXIMIZE,
    ... )

    Solve it

    >>> solution = OMMXPythonMIPAdapter.solve(instance)

    Check output

    >>> sorted([(id, value) for id, value in solution.state.entries.items()])
    [(0, 1.0), (1, 0.0), (2, 0.0), (3, 1.0), (4, 0.0), (5, 0.0)]
    >>> solution.feasible
    True
    >>> assert solution.optimality == Solution.OPTIMAL

    p[0] + p[3] = 42
    w[0] + w[3] = 46 <= 47

    >>> solution.objective
    42.0
    >>> solution.get_constraint_value(0)
    -1.0 [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:163: ERROR: Unknown directive type "doctest".

.. doctest::

        >>> from ommx.v1 import Instance, DecisionVariable
        >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter

        >>> x = DecisionVariable.integer(0, upper=3, lower=0)
        >>> instance = Instance.from_components(
        ...     decision_variables=[x],
        ...     objective=x,
        ...     constraints=[x >= 4],
        ...     sense=Instance.MAXIMIZE,
        ... )

        >>> OMMXPythonMIPAdapter.solve(instance)
        Traceback (most recent call last):
            ...
        ommx.adapter.InfeasibleDetected: Model was infeasible [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:183: ERROR: Unknown directive type "doctest".

.. doctest::

        >>> from ommx.v1 import Instance, DecisionVariable
        >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter

        >>> x = DecisionVariable.integer(0, lower=0)
        >>> instance = Instance.from_components(
        ...     decision_variables=[x],
        ...     objective=x,
        ...     constraints=[],
        ...     sense=Instance.MAXIMIZE,
        ... )

        >>> OMMXPythonMIPAdapter.solve(instance)
        Traceback (most recent call last):
            ...
        ommx.adapter.UnboundedDetected: Model was unbounded [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/adapter/index.rst:203: ERROR: Unknown directive type "doctest".

.. doctest::

        >>> from ommx.v1 import Instance, DecisionVariable
        >>> from ommx_python_mip_adapter import OMMXPythonMIPAdapter

        >>> x = DecisionVariable.continuous(0, lower=0, upper=1)
        >>> y = DecisionVariable.continuous(1, lower=0, upper=1)
        >>> instance = Instance.from_components(
        ...     decision_variables=[x, y],
        ...     objective=x + y,
        ...     constraints=[(x + y <= 1).set_id(0)],
        ...     sense=Instance.MAXIMIZE,
        ... )

        >>> solution = OMMXPythonMIPAdapter.solve(instance)
        >>> solution.get_dual_variable(0)
        1.0 [docutils]
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx_python_mip_adapter/python_mip_to_ommx/index.rst:63: ERROR: Unknown directive type "doctest".

.. doctest::
    >>> import mip
    >>> import ommx_python_mip_adapter as adapter

    >>> model = mip.Model()
    >>> x1=model.add_var(name="1", var_type=mip.INTEGER, lb=0, ub=5)
    >>> x2=model.add_var(name="2", var_type=mip.CONTINUOUS, lb=0, ub=5)

    >>> model.objective = - x1 - 2 * x2
    >>> constr = model.add_constr(x1 + x2 - 6 <= 0)

    >>> ommx_instance = adapter.model_to_instance(model) [docutils]
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/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx/adapter/index.rst: document is referenced in multiple toctrees: ['api/index', 'autoapi/ommx/index'], selecting: autoapi/ommx/index <- autoapi/ommx/adapter/index
/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/docs/en/autoapi/ommx/dataset/index.rst: document is referenced in multiple toctrees: ['api/index', 'autoapi/ommx/index'], selecting: autoapi/ommx/index <- autoapi/ommx/dataset/index
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/home/docs/checkouts/readthedocs.org/user_builds/jij-inc-ommx/checkouts/785/<string>:9: WARNING: Lexing literal_block '{\n    "decision_variables": {\n        "total": int,\n        "by_kind": {\n            "binary": int,\n            "integer": int,\n            "continuous": int,\n            "semi_integer": int,\n            "semi_continuous": int\n        },\n        "by_usage": {\n            "used_in_objective": int,\n            "used_in_constraints": int,\n            "used": int,\n            "fixed": int,\n            "dependent": int,\n            "irrelevant": int\n        }\n    },\n    "constraints": {\n        "total": int,\n        "active": int,\n        "removed": int\n    }\n}\n' as "json" resulted in an error at token: 'i'. Retrying in relaxed mode. [misc.highlighting_failure]
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