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6e0a6fb8c6
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113f694ccd
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.gitignore
vendored
160
.gitignore
vendored
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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||||||
# PyInstaller
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||||||
# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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||||||
*.spec
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||||||
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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||||||
*.mo
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||||||
*.pot
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||||||
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# Django stuff:
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||||||
*.log
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||||||
local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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||||||
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# Scrapy stuff:
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.scrapy
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||||||
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||||||
# Sphinx documentation
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||||||
docs/_build/
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||||||
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||||||
# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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||||||
# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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||||||
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# poetry
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||||||
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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||||||
# This is especially recommended for binary packages to ensure reproducibility, and is more
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||||||
# commonly ignored for libraries.
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||||||
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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||||||
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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||||||
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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||||||
# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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||||||
celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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||||||
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||||||
# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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||||||
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# Spyder project settings
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||||||
.spyderproject
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||||||
.spyproject
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||||||
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||||||
# Rope project settings
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.ropeproject
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||||||
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# mkdocs documentation
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/site
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||||||
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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||||||
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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||||||
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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@ -1,197 +0,0 @@
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digraph Tree {
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node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
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edge [fontname="helvetica"] ;
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0 [label="g > d <= 0.5\nentropy = 0.997\nsamples = 200\nvalue = [94, 106]\nclass = 1", fillcolor="#e9f4fc"] ;
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1 [label="waga, <= 0.5\nentropy = 0.803\nsamples = 98\nvalue = [74, 24]\nclass = 0", fillcolor="#edaa79"] ;
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||||||
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
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2 [label="wielkosc <= 1.5\nentropy = 0.998\nsamples = 34\nvalue = [16, 18]\nclass = 1", fillcolor="#e9f4fc"] ;
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1 -> 2 ;
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||||||
3 [label="priorytet <= 0.5\nentropy = 0.887\nsamples = 23\nvalue = [7, 16]\nclass = 1", fillcolor="#90c8f0"] ;
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2 -> 3 ;
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4 [label="kruchosc <= 0.5\nentropy = 0.439\nsamples = 11\nvalue = [1, 10]\nclass = 1", fillcolor="#4da7e8"] ;
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3 -> 4 ;
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5 [label="entropy = 0.0\nsamples = 7\nvalue = [0, 7]\nclass = 1", fillcolor="#399de5"] ;
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4 -> 5 ;
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6 [label="wielkosc <= 0.5\nentropy = 0.811\nsamples = 4\nvalue = [1, 3]\nclass = 1", fillcolor="#7bbeee"] ;
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4 -> 6 ;
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7 [label="ksztalt <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
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6 -> 7 ;
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8 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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7 -> 8 ;
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9 [label="gorna <= 0.5\nentropy = 1.0\nsamples = 2\nvalue = [1, 1]\nclass = 0", fillcolor="#ffffff"] ;
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7 -> 9 ;
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10 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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9 -> 10 ;
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11 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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9 -> 11 ;
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||||||
12 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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||||||
6 -> 12 ;
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||||||
13 [label="kruchosc <= 0.5\nentropy = 1.0\nsamples = 12\nvalue = [6, 6]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
3 -> 13 ;
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||||||
14 [label="entropy = 0.0\nsamples = 5\nvalue = [5, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
13 -> 14 ;
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||||||
15 [label="ksztalt <= 0.5\nentropy = 0.592\nsamples = 7\nvalue = [1, 6]\nclass = 1", fillcolor="#5aade9"] ;
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||||||
13 -> 15 ;
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||||||
16 [label="entropy = 0.0\nsamples = 4\nvalue = [0, 4]\nclass = 1", fillcolor="#399de5"] ;
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||||||
15 -> 16 ;
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||||||
17 [label="gorna <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
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||||||
15 -> 17 ;
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||||||
18 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
17 -> 18 ;
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||||||
19 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
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||||||
17 -> 19 ;
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||||||
20 [label="ksztalt <= 0.5\nentropy = 0.684\nsamples = 11\nvalue = [9, 2]\nclass = 0", fillcolor="#eb9d65"] ;
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||||||
2 -> 20 ;
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||||||
21 [label="dolna <= 0.5\nentropy = 1.0\nsamples = 4\nvalue = [2, 2]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
20 -> 21 ;
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||||||
22 [label="kruchosc <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
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||||||
21 -> 22 ;
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||||||
23 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
22 -> 23 ;
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||||||
24 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
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||||||
22 -> 24 ;
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||||||
25 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
21 -> 25 ;
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||||||
26 [label="entropy = 0.0\nsamples = 7\nvalue = [7, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
20 -> 26 ;
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||||||
27 [label="gorna <= 0.5\nentropy = 0.449\nsamples = 64\nvalue = [58, 6]\nclass = 0", fillcolor="#e88e4d"] ;
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||||||
1 -> 27 ;
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||||||
28 [label="entropy = 0.0\nsamples = 33\nvalue = [33, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
27 -> 28 ;
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||||||
29 [label="wielkosc <= 1.5\nentropy = 0.709\nsamples = 31\nvalue = [25, 6]\nclass = 0", fillcolor="#eb9f69"] ;
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||||||
27 -> 29 ;
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||||||
30 [label="ksztalt <= 0.5\nentropy = 0.918\nsamples = 18\nvalue = [12, 6]\nclass = 0", fillcolor="#f2c09c"] ;
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||||||
29 -> 30 ;
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||||||
31 [label="kruchosc <= 0.5\nentropy = 1.0\nsamples = 10\nvalue = [5, 5]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
30 -> 31 ;
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||||||
32 [label="dolna <= 0.5\nentropy = 0.722\nsamples = 5\nvalue = [4, 1]\nclass = 0", fillcolor="#eca06a"] ;
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||||||
31 -> 32 ;
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||||||
33 [label="priorytet <= 0.5\nentropy = 1.0\nsamples = 2\nvalue = [1, 1]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
32 -> 33 ;
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||||||
34 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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||||||
33 -> 34 ;
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||||||
35 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
33 -> 35 ;
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||||||
36 [label="entropy = 0.0\nsamples = 3\nvalue = [3, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
32 -> 36 ;
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||||||
37 [label="dolna <= 0.5\nentropy = 0.722\nsamples = 5\nvalue = [1, 4]\nclass = 1", fillcolor="#6ab6ec"] ;
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||||||
31 -> 37 ;
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||||||
38 [label="entropy = 0.0\nsamples = 3\nvalue = [0, 3]\nclass = 1", fillcolor="#399de5"] ;
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||||||
37 -> 38 ;
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||||||
39 [label="waga, <= 1.5\nentropy = 1.0\nsamples = 2\nvalue = [1, 1]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
37 -> 39 ;
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||||||
40 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
39 -> 40 ;
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||||||
41 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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||||||
39 -> 41 ;
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||||||
42 [label="waga, <= 1.5\nentropy = 0.544\nsamples = 8\nvalue = [7, 1]\nclass = 0", fillcolor="#e99355"] ;
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||||||
30 -> 42 ;
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||||||
43 [label="entropy = 0.0\nsamples = 4\nvalue = [4, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
42 -> 43 ;
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||||||
44 [label="wielkosc <= 0.5\nentropy = 0.811\nsamples = 4\nvalue = [3, 1]\nclass = 0", fillcolor="#eeab7b"] ;
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||||||
42 -> 44 ;
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||||||
45 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
44 -> 45 ;
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||||||
46 [label="kruchosc <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [2, 1]\nclass = 0", fillcolor="#f2c09c"] ;
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||||||
44 -> 46 ;
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||||||
47 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
46 -> 47 ;
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||||||
48 [label="priorytet <= 0.5\nentropy = 1.0\nsamples = 2\nvalue = [1, 1]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
46 -> 48 ;
|
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||||||
49 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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||||||
48 -> 49 ;
|
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||||||
50 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
48 -> 50 ;
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||||||
51 [label="entropy = 0.0\nsamples = 13\nvalue = [13, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
29 -> 51 ;
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||||||
52 [label="wielkosc <= 1.5\nentropy = 0.714\nsamples = 102\nvalue = [20, 82]\nclass = 1", fillcolor="#69b5eb"] ;
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||||||
0 -> 52 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
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||||||
53 [label="waga, <= 0.5\nentropy = 0.469\nsamples = 70\nvalue = [7, 63]\nclass = 1", fillcolor="#4fa8e8"] ;
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||||||
52 -> 53 ;
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||||||
54 [label="entropy = 0.0\nsamples = 21\nvalue = [0, 21]\nclass = 1", fillcolor="#399de5"] ;
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||||||
53 -> 54 ;
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||||||
55 [label="ksztalt <= 0.5\nentropy = 0.592\nsamples = 49\nvalue = [7, 42]\nclass = 1", fillcolor="#5aade9"] ;
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||||||
53 -> 55 ;
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||||||
56 [label="wielkosc <= 0.5\nentropy = 0.25\nsamples = 24\nvalue = [1, 23]\nclass = 1", fillcolor="#42a1e6"] ;
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||||||
55 -> 56 ;
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||||||
57 [label="entropy = 0.0\nsamples = 15\nvalue = [0, 15]\nclass = 1", fillcolor="#399de5"] ;
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||||||
56 -> 57 ;
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||||||
58 [label="kruchosc <= 0.5\nentropy = 0.503\nsamples = 9\nvalue = [1, 8]\nclass = 1", fillcolor="#52a9e8"] ;
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||||||
56 -> 58 ;
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||||||
59 [label="dolna <= 0.5\nentropy = 0.722\nsamples = 5\nvalue = [1, 4]\nclass = 1", fillcolor="#6ab6ec"] ;
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||||||
58 -> 59 ;
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||||||
60 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
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||||||
59 -> 60 ;
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||||||
61 [label="gorna <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
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||||||
59 -> 61 ;
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||||||
62 [label="priorytet <= 0.5\nentropy = 1.0\nsamples = 2\nvalue = [1, 1]\nclass = 0", fillcolor="#ffffff"] ;
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||||||
61 -> 62 ;
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||||||
63 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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62 -> 63 ;
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||||||
64 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
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||||||
62 -> 64 ;
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||||||
65 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
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||||||
61 -> 65 ;
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||||||
66 [label="entropy = 0.0\nsamples = 4\nvalue = [0, 4]\nclass = 1", fillcolor="#399de5"] ;
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||||||
58 -> 66 ;
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||||||
67 [label="kruchosc <= 0.5\nentropy = 0.795\nsamples = 25\nvalue = [6, 19]\nclass = 1", fillcolor="#78bced"] ;
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||||||
55 -> 67 ;
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||||||
68 [label="priorytet <= 0.5\nentropy = 0.98\nsamples = 12\nvalue = [5, 7]\nclass = 1", fillcolor="#c6e3f8"] ;
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67 -> 68 ;
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69 [label="dolna <= 0.5\nentropy = 0.764\nsamples = 9\nvalue = [2, 7]\nclass = 1", fillcolor="#72b9ec"] ;
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||||||
68 -> 69 ;
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|
||||||
70 [label="entropy = 0.0\nsamples = 5\nvalue = [0, 5]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
69 -> 70 ;
|
|
||||||
71 [label="gorna <= 0.5\nentropy = 1.0\nsamples = 4\nvalue = [2, 2]\nclass = 0", fillcolor="#ffffff"] ;
|
|
||||||
69 -> 71 ;
|
|
||||||
72 [label="entropy = 0.0\nsamples = 2\nvalue = [2, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
71 -> 72 ;
|
|
||||||
73 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
71 -> 73 ;
|
|
||||||
74 [label="entropy = 0.0\nsamples = 3\nvalue = [3, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
68 -> 74 ;
|
|
||||||
75 [label="dolna <= 0.5\nentropy = 0.391\nsamples = 13\nvalue = [1, 12]\nclass = 1", fillcolor="#49a5e7"] ;
|
|
||||||
67 -> 75 ;
|
|
||||||
76 [label="entropy = 0.0\nsamples = 7\nvalue = [0, 7]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
75 -> 76 ;
|
|
||||||
77 [label="gorna <= 0.5\nentropy = 0.65\nsamples = 6\nvalue = [1, 5]\nclass = 1", fillcolor="#61b1ea"] ;
|
|
||||||
75 -> 77 ;
|
|
||||||
78 [label="priorytet <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
|
|
||||||
77 -> 78 ;
|
|
||||||
79 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
78 -> 79 ;
|
|
||||||
80 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
78 -> 80 ;
|
|
||||||
81 [label="entropy = 0.0\nsamples = 3\nvalue = [0, 3]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
77 -> 81 ;
|
|
||||||
82 [label="gorna <= 0.5\nentropy = 0.974\nsamples = 32\nvalue = [13, 19]\nclass = 1", fillcolor="#c0e0f7"] ;
|
|
||||||
52 -> 82 ;
|
|
||||||
83 [label="kruchosc <= 0.5\nentropy = 0.65\nsamples = 12\nvalue = [10, 2]\nclass = 0", fillcolor="#ea9a61"] ;
|
|
||||||
82 -> 83 ;
|
|
||||||
84 [label="entropy = 0.0\nsamples = 7\nvalue = [7, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
83 -> 84 ;
|
|
||||||
85 [label="waga, <= 1.5\nentropy = 0.971\nsamples = 5\nvalue = [3, 2]\nclass = 0", fillcolor="#f6d5bd"] ;
|
|
||||||
83 -> 85 ;
|
|
||||||
86 [label="priorytet <= 0.5\nentropy = 0.918\nsamples = 3\nvalue = [1, 2]\nclass = 1", fillcolor="#9ccef2"] ;
|
|
||||||
85 -> 86 ;
|
|
||||||
87 [label="entropy = 0.0\nsamples = 2\nvalue = [0, 2]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
86 -> 87 ;
|
|
||||||
88 [label="entropy = 0.0\nsamples = 1\nvalue = [1, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
86 -> 88 ;
|
|
||||||
89 [label="entropy = 0.0\nsamples = 2\nvalue = [2, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
85 -> 89 ;
|
|
||||||
90 [label="dolna <= 0.5\nentropy = 0.61\nsamples = 20\nvalue = [3, 17]\nclass = 1", fillcolor="#5caeea"] ;
|
|
||||||
82 -> 90 ;
|
|
||||||
91 [label="entropy = 0.0\nsamples = 11\nvalue = [0, 11]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
90 -> 91 ;
|
|
||||||
92 [label="kruchosc <= 0.5\nentropy = 0.918\nsamples = 9\nvalue = [3, 6]\nclass = 1", fillcolor="#9ccef2"] ;
|
|
||||||
90 -> 92 ;
|
|
||||||
93 [label="waga, <= 0.5\nentropy = 0.811\nsamples = 4\nvalue = [3, 1]\nclass = 0", fillcolor="#eeab7b"] ;
|
|
||||||
92 -> 93 ;
|
|
||||||
94 [label="entropy = 0.0\nsamples = 1\nvalue = [0, 1]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
93 -> 94 ;
|
|
||||||
95 [label="entropy = 0.0\nsamples = 3\nvalue = [3, 0]\nclass = 0", fillcolor="#e58139"] ;
|
|
||||||
93 -> 95 ;
|
|
||||||
96 [label="entropy = 0.0\nsamples = 5\nvalue = [0, 5]\nclass = 1", fillcolor="#399de5"] ;
|
|
||||||
92 -> 96 ;
|
|
||||||
}
|
|
||||||
Binary file not shown.
@ -1,201 +0,0 @@
|
|||||||
wielkosc,"waga,",priorytet,ksztalt,kruchosc,dolna,gorna,g > d,polka
|
|
||||||
1,0,0,1,0,0,1,0,1
|
|
||||||
0,0,1,0,1,1,0,1,1
|
|
||||||
2,0,1,1,0,0,0,1,0
|
|
||||||
2,2,1,0,1,1,1,0,0
|
|
||||||
1,0,0,1,0,0,0,1,1
|
|
||||||
2,1,0,0,1,1,0,0,0
|
|
||||||
1,0,0,0,1,0,0,1,1
|
|
||||||
1,1,0,1,0,0,0,1,1
|
|
||||||
0,0,1,0,1,1,1,0,1
|
|
||||||
0,2,0,0,0,1,1,0,0
|
|
||||||
0,0,1,0,0,1,0,1,1
|
|
||||||
0,0,0,0,0,1,1,0,1
|
|
||||||
0,2,1,0,1,1,0,0,0
|
|
||||||
2,0,0,0,1,0,0,0,1
|
|
||||||
2,1,0,1,0,1,1,1,0
|
|
||||||
0,1,1,0,1,1,1,0,0
|
|
||||||
0,2,0,1,1,1,0,1,1
|
|
||||||
1,2,1,0,1,1,0,0,0
|
|
||||||
0,0,1,1,1,1,0,1,1
|
|
||||||
0,0,0,1,1,0,0,1,1
|
|
||||||
1,1,1,1,1,0,1,0,0
|
|
||||||
1,2,1,0,0,1,1,1,1
|
|
||||||
2,2,1,1,0,1,1,1,0
|
|
||||||
1,2,1,0,1,1,0,1,1
|
|
||||||
0,1,0,0,0,1,0,1,1
|
|
||||||
1,1,0,0,0,1,0,1,1
|
|
||||||
0,1,0,0,0,1,1,1,1
|
|
||||||
2,1,0,1,0,1,0,1,0
|
|
||||||
0,1,1,0,1,1,0,0,0
|
|
||||||
2,1,0,1,0,1,1,0,0
|
|
||||||
1,2,1,0,0,0,1,1,1
|
|
||||||
1,2,0,1,0,1,1,1,1
|
|
||||||
0,2,0,1,0,1,0,1,0
|
|
||||||
2,1,1,0,1,1,1,1,1
|
|
||||||
0,2,0,1,0,0,0,1,1
|
|
||||||
0,1,1,0,0,1,1,0,0
|
|
||||||
2,2,1,0,0,0,1,1,1
|
|
||||||
1,0,0,0,0,0,1,0,1
|
|
||||||
0,0,1,1,0,1,0,0,0
|
|
||||||
2,2,0,1,1,1,0,0,0
|
|
||||||
1,2,1,1,0,0,0,1,0
|
|
||||||
1,2,0,1,0,0,1,1,1
|
|
||||||
0,1,0,1,1,1,1,0,0
|
|
||||||
0,1,0,0,1,1,0,0,0
|
|
||||||
0,1,0,1,1,0,0,0,0
|
|
||||||
1,1,1,0,1,1,0,1,1
|
|
||||||
1,1,1,1,0,1,1,0,0
|
|
||||||
2,1,1,1,0,1,1,0,0
|
|
||||||
2,2,0,0,1,1,0,0,0
|
|
||||||
1,0,0,1,0,1,0,1,1
|
|
||||||
2,1,1,1,1,0,1,0,0
|
|
||||||
0,0,0,0,1,1,0,0,1
|
|
||||||
2,1,1,1,0,1,0,1,0
|
|
||||||
1,2,1,1,1,0,1,1,1
|
|
||||||
0,2,0,0,1,1,1,1,1
|
|
||||||
2,1,0,1,1,0,0,0,0
|
|
||||||
0,2,1,1,1,0,1,1,1
|
|
||||||
1,2,0,1,1,1,1,0,1
|
|
||||||
0,2,0,0,0,1,0,1,1
|
|
||||||
1,2,0,0,0,1,0,0,0
|
|
||||||
2,0,0,1,0,1,1,1,1
|
|
||||||
2,1,1,0,0,0,1,1,1
|
|
||||||
0,1,1,1,0,1,0,0,0
|
|
||||||
2,1,0,1,1,1,0,0,0
|
|
||||||
0,2,0,1,0,0,0,0,0
|
|
||||||
2,1,0,0,1,0,0,1,1
|
|
||||||
1,1,0,0,1,1,0,0,0
|
|
||||||
2,0,0,1,0,0,1,1,1
|
|
||||||
2,0,1,1,1,0,1,1,1
|
|
||||||
2,2,0,1,1,0,0,0,0
|
|
||||||
0,1,0,1,1,1,0,1,1
|
|
||||||
1,0,1,1,1,0,0,0,0
|
|
||||||
2,0,0,1,1,1,1,1,1
|
|
||||||
1,0,0,0,0,0,0,1,1
|
|
||||||
2,1,1,0,0,0,0,1,0
|
|
||||||
0,0,0,0,1,1,0,1,1
|
|
||||||
0,1,0,1,0,0,0,1,1
|
|
||||||
2,2,0,1,0,0,0,0,0
|
|
||||||
0,2,1,1,1,1,0,1,0
|
|
||||||
2,2,1,0,0,1,1,0,0
|
|
||||||
1,2,0,0,1,1,1,0,1
|
|
||||||
0,1,1,1,0,0,0,1,0
|
|
||||||
1,1,1,0,1,0,0,0,0
|
|
||||||
2,0,1,1,0,0,1,1,1
|
|
||||||
2,0,1,0,1,0,1,0,1
|
|
||||||
2,2,0,0,0,1,1,0,0
|
|
||||||
1,1,0,1,1,0,1,1,1
|
|
||||||
2,0,0,0,0,0,1,1,1
|
|
||||||
1,2,0,0,1,1,0,1,1
|
|
||||||
1,2,1,1,0,0,0,0,0
|
|
||||||
0,0,1,1,1,1,1,0,1
|
|
||||||
0,2,1,1,0,1,0,0,0
|
|
||||||
2,1,1,0,0,0,1,0,0
|
|
||||||
1,0,0,1,1,0,0,0,1
|
|
||||||
2,2,0,1,1,1,0,1,0
|
|
||||||
2,0,0,1,1,1,0,0,0
|
|
||||||
0,2,1,0,0,0,0,0,0
|
|
||||||
1,2,1,1,1,0,0,1,1
|
|
||||||
0,0,0,0,0,1,1,1,1
|
|
||||||
2,2,1,1,1,0,1,1,1
|
|
||||||
0,1,0,0,1,0,1,0,1
|
|
||||||
2,1,1,0,1,1,0,0,0
|
|
||||||
0,1,1,1,1,1,1,1,1
|
|
||||||
1,2,1,1,1,0,1,0,0
|
|
||||||
2,0,1,1,1,1,1,0,0
|
|
||||||
1,0,1,1,0,0,1,0,0
|
|
||||||
0,2,0,0,1,0,0,1,1
|
|
||||||
2,2,0,0,0,1,0,0,0
|
|
||||||
0,2,0,0,1,1,0,0,0
|
|
||||||
0,1,0,0,0,0,1,1,1
|
|
||||||
1,0,0,0,0,1,0,1,1
|
|
||||||
2,1,0,0,0,0,1,0,0
|
|
||||||
0,1,1,0,0,1,0,0,0
|
|
||||||
1,0,1,0,1,0,1,0,1
|
|
||||||
2,0,0,0,1,1,0,0,0
|
|
||||||
0,0,0,0,0,0,0,0,1
|
|
||||||
0,0,1,0,1,0,0,0,1
|
|
||||||
1,0,1,0,0,0,0,0,0
|
|
||||||
0,2,1,0,0,0,0,1,1
|
|
||||||
2,0,0,1,1,1,0,1,1
|
|
||||||
0,2,0,1,1,1,1,0,0
|
|
||||||
0,2,1,1,1,1,1,1,1
|
|
||||||
1,2,0,1,0,1,1,0,0
|
|
||||||
0,2,1,0,0,1,0,0,0
|
|
||||||
2,0,1,1,1,1,1,1,1
|
|
||||||
0,0,0,1,1,1,1,1,1
|
|
||||||
1,2,0,1,1,0,0,0,0
|
|
||||||
1,2,0,1,1,0,0,1,1
|
|
||||||
2,2,0,1,0,0,1,0,0
|
|
||||||
2,2,0,0,0,0,1,0,0
|
|
||||||
0,0,0,1,0,0,1,0,1
|
|
||||||
1,0,1,0,1,0,0,0,1
|
|
||||||
0,2,0,0,0,0,0,0,0
|
|
||||||
2,0,1,0,1,1,1,1,1
|
|
||||||
0,2,1,0,0,0,1,1,1
|
|
||||||
0,2,1,0,1,1,1,1,1
|
|
||||||
2,2,1,0,1,0,1,0,0
|
|
||||||
1,1,1,1,1,1,1,1,1
|
|
||||||
0,1,1,0,1,0,0,0,0
|
|
||||||
2,1,1,0,0,1,1,1,0
|
|
||||||
0,0,1,0,1,1,1,1,1
|
|
||||||
0,1,1,0,1,0,1,0,1
|
|
||||||
2,0,0,1,0,0,1,0,0
|
|
||||||
1,1,0,1,1,1,1,0,0
|
|
||||||
2,0,0,1,1,1,1,0,0
|
|
||||||
0,0,1,0,0,1,1,0,0
|
|
||||||
1,0,1,0,1,1,1,1,1
|
|
||||||
0,1,0,0,0,0,0,1,1
|
|
||||||
0,2,0,1,1,0,0,1,1
|
|
||||||
2,1,1,0,1,0,1,1,1
|
|
||||||
1,1,1,1,1,0,1,1,1
|
|
||||||
1,0,1,1,0,0,1,1,1
|
|
||||||
1,0,0,1,1,0,0,1,1
|
|
||||||
2,1,1,1,0,0,1,0,0
|
|
||||||
1,0,0,0,0,0,0,0,1
|
|
||||||
0,0,0,1,1,1,1,0,1
|
|
||||||
1,0,1,1,0,0,0,1,1
|
|
||||||
2,1,1,1,1,0,1,1,1
|
|
||||||
1,2,0,1,0,1,0,1,0
|
|
||||||
1,1,0,0,0,1,1,0,0
|
|
||||||
2,2,1,0,1,1,0,1,0
|
|
||||||
0,0,0,0,0,0,1,0,1
|
|
||||||
0,2,0,0,0,1,1,1,1
|
|
||||||
2,1,0,0,0,0,1,1,1
|
|
||||||
0,0,0,1,1,1,0,0,0
|
|
||||||
1,0,1,0,0,1,1,0,0
|
|
||||||
2,0,0,0,1,1,1,1,1
|
|
||||||
1,2,1,0,0,0,0,1,1
|
|
||||||
2,2,0,0,0,1,0,1,0
|
|
||||||
0,1,1,0,0,0,1,0,0
|
|
||||||
0,2,0,0,1,0,1,0,1
|
|
||||||
1,1,0,0,1,1,1,1,1
|
|
||||||
0,0,0,1,0,0,1,1,1
|
|
||||||
0,1,1,0,0,1,1,1,1
|
|
||||||
2,2,0,1,1,0,1,0,0
|
|
||||||
1,0,1,0,1,0,1,1,1
|
|
||||||
1,1,0,1,0,0,1,1,1
|
|
||||||
2,0,1,1,0,0,1,0,0
|
|
||||||
2,0,1,0,0,0,1,0,0
|
|
||||||
1,1,1,1,0,1,1,1,0
|
|
||||||
2,1,1,0,1,0,0,0,0
|
|
||||||
0,2,0,1,1,0,0,0,0
|
|
||||||
1,2,1,1,0,1,0,0,0
|
|
||||||
2,1,1,1,1,1,0,1,0
|
|
||||||
0,2,0,1,0,1,1,1,1
|
|
||||||
0,2,1,0,1,0,0,1,1
|
|
||||||
0,1,1,0,0,0,1,1,1
|
|
||||||
1,0,0,1,1,0,1,1,1
|
|
||||||
2,2,1,1,0,0,0,0,0
|
|
||||||
0,1,1,0,0,0,0,0,0
|
|
||||||
2,0,1,1,0,1,0,0,0
|
|
||||||
0,1,1,0,0,0,0,1,1
|
|
||||||
0,0,1,1,1,0,1,0,1
|
|
||||||
0,2,0,0,0,0,1,0,1
|
|
||||||
2,0,0,1,0,1,1,0,0
|
|
||||||
0,0,1,0,1,0,1,1,1
|
|
||||||
2,2,0,0,1,0,1,1,1
|
|
||||||
2,2,0,1,0,0,0,1,0
|
|
||||||
2,2,0,1,0,1,0,1,0
|
|
||||||
1,2,1,0,0,1,0,1,0
|
|
||||||
|
@ -1,57 +0,0 @@
|
|||||||
import graphviz
|
|
||||||
import pandas as pd
|
|
||||||
from sklearn.tree import DecisionTreeClassifier
|
|
||||||
from sklearn.tree import export_graphviz
|
|
||||||
|
|
||||||
plikZPrzecinkami = open("training_data.txt", 'w')
|
|
||||||
|
|
||||||
with open('200permutations_table.txt', 'r') as plik:
|
|
||||||
for linia in plik:
|
|
||||||
liczby = linia.strip()
|
|
||||||
wiersz = ""
|
|
||||||
licznik = 0
|
|
||||||
for liczba in liczby:
|
|
||||||
wiersz += liczba
|
|
||||||
wiersz += ";"
|
|
||||||
wiersz = wiersz[:-1]
|
|
||||||
wiersz += '\n'
|
|
||||||
plikZPrzecinkami.write(wiersz)
|
|
||||||
|
|
||||||
plikZPrzecinkami.close()
|
|
||||||
|
|
||||||
x = pd.read_csv('training_data.txt', delimiter=';',
|
|
||||||
names=['wielkosc', 'waga,', 'priorytet', 'ksztalt', 'kruchosc', 'dolna', 'gorna', 'g > d'])
|
|
||||||
y = pd.read_csv('decisions.txt', names=['polka'])
|
|
||||||
# X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=1) # 70% treningowe and 30% testowe
|
|
||||||
|
|
||||||
# Tworzenie instancji klasyfikatora ID3
|
|
||||||
clf = DecisionTreeClassifier(criterion='entropy')
|
|
||||||
|
|
||||||
# Trenowanie klasyfikatora
|
|
||||||
clf.fit(x.values, y.values)
|
|
||||||
# clf.fit(X_train, y_train)
|
|
||||||
|
|
||||||
|
|
||||||
# Predykcja na nowych danych
|
|
||||||
new_data = [[2, 2, 1, 0, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0]]
|
|
||||||
predictions = clf.predict(new_data)
|
|
||||||
# y_pred = clf.predict(X_test)
|
|
||||||
|
|
||||||
|
|
||||||
print(predictions)
|
|
||||||
# print("Accuracy:", clf.score(new_data, predictions))
|
|
||||||
# print("Accuracy:", metrics.accuracy_score(y_test, y_pred))
|
|
||||||
|
|
||||||
|
|
||||||
# Wygenerowanie pliku .dot reprezentującego drzewo
|
|
||||||
dot_data = export_graphviz(clf, out_file=None, feature_names=list(x.columns), class_names=['0', '1'], filled=True,
|
|
||||||
rounded=True)
|
|
||||||
|
|
||||||
# Tworzenie obiektu graphviz z pliku .dot
|
|
||||||
graph = graphviz.Source(dot_data)
|
|
||||||
|
|
||||||
# Wyświetlanie drzewa
|
|
||||||
graph.view()
|
|
||||||
|
|
||||||
z = pd.concat([x, y], axis=1)
|
|
||||||
z.to_csv('dane.csv', index=False)
|
|
||||||
@ -1,200 +0,0 @@
|
|||||||
1;0;0;1;0;0;1;0
|
|
||||||
0;0;1;0;1;1;0;1
|
|
||||||
2;0;1;1;0;0;0;1
|
|
||||||
2;2;1;0;1;1;1;0
|
|
||||||
1;0;0;1;0;0;0;1
|
|
||||||
2;1;0;0;1;1;0;0
|
|
||||||
1;0;0;0;1;0;0;1
|
|
||||||
1;1;0;1;0;0;0;1
|
|
||||||
0;0;1;0;1;1;1;0
|
|
||||||
0;2;0;0;0;1;1;0
|
|
||||||
0;0;1;0;0;1;0;1
|
|
||||||
0;0;0;0;0;1;1;0
|
|
||||||
0;2;1;0;1;1;0;0
|
|
||||||
2;0;0;0;1;0;0;0
|
|
||||||
2;1;0;1;0;1;1;1
|
|
||||||
0;1;1;0;1;1;1;0
|
|
||||||
0;2;0;1;1;1;0;1
|
|
||||||
1;2;1;0;1;1;0;0
|
|
||||||
0;0;1;1;1;1;0;1
|
|
||||||
0;0;0;1;1;0;0;1
|
|
||||||
1;1;1;1;1;0;1;0
|
|
||||||
1;2;1;0;0;1;1;1
|
|
||||||
2;2;1;1;0;1;1;1
|
|
||||||
1;2;1;0;1;1;0;1
|
|
||||||
0;1;0;0;0;1;0;1
|
|
||||||
1;1;0;0;0;1;0;1
|
|
||||||
0;1;0;0;0;1;1;1
|
|
||||||
2;1;0;1;0;1;0;1
|
|
||||||
0;1;1;0;1;1;0;0
|
|
||||||
2;1;0;1;0;1;1;0
|
|
||||||
1;2;1;0;0;0;1;1
|
|
||||||
1;2;0;1;0;1;1;1
|
|
||||||
0;2;0;1;0;1;0;1
|
|
||||||
2;1;1;0;1;1;1;1
|
|
||||||
0;2;0;1;0;0;0;1
|
|
||||||
0;1;1;0;0;1;1;0
|
|
||||||
2;2;1;0;0;0;1;1
|
|
||||||
1;0;0;0;0;0;1;0
|
|
||||||
0;0;1;1;0;1;0;0
|
|
||||||
2;2;0;1;1;1;0;0
|
|
||||||
1;2;1;1;0;0;0;1
|
|
||||||
1;2;0;1;0;0;1;1
|
|
||||||
0;1;0;1;1;1;1;0
|
|
||||||
0;1;0;0;1;1;0;0
|
|
||||||
0;1;0;1;1;0;0;0
|
|
||||||
1;1;1;0;1;1;0;1
|
|
||||||
1;1;1;1;0;1;1;0
|
|
||||||
2;1;1;1;0;1;1;0
|
|
||||||
2;2;0;0;1;1;0;0
|
|
||||||
1;0;0;1;0;1;0;1
|
|
||||||
2;1;1;1;1;0;1;0
|
|
||||||
0;0;0;0;1;1;0;0
|
|
||||||
2;1;1;1;0;1;0;1
|
|
||||||
1;2;1;1;1;0;1;1
|
|
||||||
0;2;0;0;1;1;1;1
|
|
||||||
2;1;0;1;1;0;0;0
|
|
||||||
0;2;1;1;1;0;1;1
|
|
||||||
1;2;0;1;1;1;1;0
|
|
||||||
0;2;0;0;0;1;0;1
|
|
||||||
1;2;0;0;0;1;0;0
|
|
||||||
2;0;0;1;0;1;1;1
|
|
||||||
2;1;1;0;0;0;1;1
|
|
||||||
0;1;1;1;0;1;0;0
|
|
||||||
2;1;0;1;1;1;0;0
|
|
||||||
0;2;0;1;0;0;0;0
|
|
||||||
2;1;0;0;1;0;0;1
|
|
||||||
1;1;0;0;1;1;0;0
|
|
||||||
2;0;0;1;0;0;1;1
|
|
||||||
2;0;1;1;1;0;1;1
|
|
||||||
2;2;0;1;1;0;0;0
|
|
||||||
0;1;0;1;1;1;0;1
|
|
||||||
1;0;1;1;1;0;0;0
|
|
||||||
2;0;0;1;1;1;1;1
|
|
||||||
1;0;0;0;0;0;0;1
|
|
||||||
2;1;1;0;0;0;0;1
|
|
||||||
0;0;0;0;1;1;0;1
|
|
||||||
0;1;0;1;0;0;0;1
|
|
||||||
2;2;0;1;0;0;0;0
|
|
||||||
0;2;1;1;1;1;0;1
|
|
||||||
2;2;1;0;0;1;1;0
|
|
||||||
1;2;0;0;1;1;1;0
|
|
||||||
0;1;1;1;0;0;0;1
|
|
||||||
1;1;1;0;1;0;0;0
|
|
||||||
2;0;1;1;0;0;1;1
|
|
||||||
2;0;1;0;1;0;1;0
|
|
||||||
2;2;0;0;0;1;1;0
|
|
||||||
1;1;0;1;1;0;1;1
|
|
||||||
2;0;0;0;0;0;1;1
|
|
||||||
1;2;0;0;1;1;0;1
|
|
||||||
1;2;1;1;0;0;0;0
|
|
||||||
0;0;1;1;1;1;1;0
|
|
||||||
0;2;1;1;0;1;0;0
|
|
||||||
2;1;1;0;0;0;1;0
|
|
||||||
1;0;0;1;1;0;0;0
|
|
||||||
2;2;0;1;1;1;0;1
|
|
||||||
2;0;0;1;1;1;0;0
|
|
||||||
0;2;1;0;0;0;0;0
|
|
||||||
1;2;1;1;1;0;0;1
|
|
||||||
0;0;0;0;0;1;1;1
|
|
||||||
2;2;1;1;1;0;1;1
|
|
||||||
0;1;0;0;1;0;1;0
|
|
||||||
2;1;1;0;1;1;0;0
|
|
||||||
0;1;1;1;1;1;1;1
|
|
||||||
1;2;1;1;1;0;1;0
|
|
||||||
2;0;1;1;1;1;1;0
|
|
||||||
1;0;1;1;0;0;1;0
|
|
||||||
0;2;0;0;1;0;0;1
|
|
||||||
2;2;0;0;0;1;0;0
|
|
||||||
0;2;0;0;1;1;0;0
|
|
||||||
0;1;0;0;0;0;1;1
|
|
||||||
1;0;0;0;0;1;0;1
|
|
||||||
2;1;0;0;0;0;1;0
|
|
||||||
0;1;1;0;0;1;0;0
|
|
||||||
1;0;1;0;1;0;1;0
|
|
||||||
2;0;0;0;1;1;0;0
|
|
||||||
0;0;0;0;0;0;0;0
|
|
||||||
0;0;1;0;1;0;0;0
|
|
||||||
1;0;1;0;0;0;0;0
|
|
||||||
0;2;1;0;0;0;0;1
|
|
||||||
2;0;0;1;1;1;0;1
|
|
||||||
0;2;0;1;1;1;1;0
|
|
||||||
0;2;1;1;1;1;1;1
|
|
||||||
1;2;0;1;0;1;1;0
|
|
||||||
0;2;1;0;0;1;0;0
|
|
||||||
2;0;1;1;1;1;1;1
|
|
||||||
0;0;0;1;1;1;1;1
|
|
||||||
1;2;0;1;1;0;0;0
|
|
||||||
1;2;0;1;1;0;0;1
|
|
||||||
2;2;0;1;0;0;1;0
|
|
||||||
2;2;0;0;0;0;1;0
|
|
||||||
0;0;0;1;0;0;1;0
|
|
||||||
1;0;1;0;1;0;0;0
|
|
||||||
0;2;0;0;0;0;0;0
|
|
||||||
2;0;1;0;1;1;1;1
|
|
||||||
0;2;1;0;0;0;1;1
|
|
||||||
0;2;1;0;1;1;1;1
|
|
||||||
2;2;1;0;1;0;1;0
|
|
||||||
1;1;1;1;1;1;1;1
|
|
||||||
0;1;1;0;1;0;0;0
|
|
||||||
2;1;1;0;0;1;1;1
|
|
||||||
0;0;1;0;1;1;1;1
|
|
||||||
0;1;1;0;1;0;1;0
|
|
||||||
2;0;0;1;0;0;1;0
|
|
||||||
1;1;0;1;1;1;1;0
|
|
||||||
2;0;0;1;1;1;1;0
|
|
||||||
0;0;1;0;0;1;1;0
|
|
||||||
1;0;1;0;1;1;1;1
|
|
||||||
0;1;0;0;0;0;0;1
|
|
||||||
0;2;0;1;1;0;0;1
|
|
||||||
2;1;1;0;1;0;1;1
|
|
||||||
1;1;1;1;1;0;1;1
|
|
||||||
1;0;1;1;0;0;1;1
|
|
||||||
1;0;0;1;1;0;0;1
|
|
||||||
2;1;1;1;0;0;1;0
|
|
||||||
1;0;0;0;0;0;0;0
|
|
||||||
0;0;0;1;1;1;1;0
|
|
||||||
1;0;1;1;0;0;0;1
|
|
||||||
2;1;1;1;1;0;1;1
|
|
||||||
1;2;0;1;0;1;0;1
|
|
||||||
1;1;0;0;0;1;1;0
|
|
||||||
2;2;1;0;1;1;0;1
|
|
||||||
0;0;0;0;0;0;1;0
|
|
||||||
0;2;0;0;0;1;1;1
|
|
||||||
2;1;0;0;0;0;1;1
|
|
||||||
0;0;0;1;1;1;0;0
|
|
||||||
1;0;1;0;0;1;1;0
|
|
||||||
2;0;0;0;1;1;1;1
|
|
||||||
1;2;1;0;0;0;0;1
|
|
||||||
2;2;0;0;0;1;0;1
|
|
||||||
0;1;1;0;0;0;1;0
|
|
||||||
0;2;0;0;1;0;1;0
|
|
||||||
1;1;0;0;1;1;1;1
|
|
||||||
0;0;0;1;0;0;1;1
|
|
||||||
0;1;1;0;0;1;1;1
|
|
||||||
2;2;0;1;1;0;1;0
|
|
||||||
1;0;1;0;1;0;1;1
|
|
||||||
1;1;0;1;0;0;1;1
|
|
||||||
2;0;1;1;0;0;1;0
|
|
||||||
2;0;1;0;0;0;1;0
|
|
||||||
1;1;1;1;0;1;1;1
|
|
||||||
2;1;1;0;1;0;0;0
|
|
||||||
0;2;0;1;1;0;0;0
|
|
||||||
1;2;1;1;0;1;0;0
|
|
||||||
2;1;1;1;1;1;0;1
|
|
||||||
0;2;0;1;0;1;1;1
|
|
||||||
0;2;1;0;1;0;0;1
|
|
||||||
0;1;1;0;0;0;1;1
|
|
||||||
1;0;0;1;1;0;1;1
|
|
||||||
2;2;1;1;0;0;0;0
|
|
||||||
0;1;1;0;0;0;0;0
|
|
||||||
2;0;1;1;0;1;0;0
|
|
||||||
0;1;1;0;0;0;0;1
|
|
||||||
0;0;1;1;1;0;1;0
|
|
||||||
0;2;0;0;0;0;1;0
|
|
||||||
2;0;0;1;0;1;1;0
|
|
||||||
0;0;1;0;1;0;1;1
|
|
||||||
2;2;0;0;1;0;1;1
|
|
||||||
2;2;0;1;0;0;0;1
|
|
||||||
2;2;0;1;0;1;0;1
|
|
||||||
1;2;1;0;0;1;0;1
|
|
||||||
Loading…
Reference in New Issue
Block a user