switching to high quality piper tts and added label translations
This commit is contained in:
@@ -0,0 +1,467 @@
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# Tests that require installed backends go into
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# sympy/test_external/test_autowrap
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import os
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import tempfile
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import shutil
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from io import StringIO
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from pathlib import Path
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from sympy.core import symbols, Eq
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from sympy.utilities.autowrap import (autowrap, binary_function,
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CythonCodeWrapper, UfuncifyCodeWrapper, CodeWrapper)
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from sympy.utilities.codegen import (
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CCodeGen, C99CodeGen, CodeGenArgumentListError, make_routine
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)
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from sympy.testing.pytest import raises
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from sympy.testing.tmpfiles import TmpFileManager
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def get_string(dump_fn, routines, prefix="file", **kwargs):
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"""Wrapper for dump_fn. dump_fn writes its results to a stream object and
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this wrapper returns the contents of that stream as a string. This
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auxiliary function is used by many tests below.
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The header and the empty lines are not generator to facilitate the
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testing of the output.
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"""
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output = StringIO()
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dump_fn(routines, output, prefix, **kwargs)
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source = output.getvalue()
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output.close()
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return source
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def test_cython_wrapper_scalar_function():
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x, y, z = symbols('x,y,z')
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expr = (x + y)*z
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routine = make_routine("test", expr)
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code_gen = CythonCodeWrapper(CCodeGen())
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source = get_string(code_gen.dump_pyx, [routine])
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expected = (
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"cdef extern from 'file.h':\n"
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" double test(double x, double y, double z)\n"
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"\n"
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"def test_c(double x, double y, double z):\n"
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"\n"
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" return test(x, y, z)")
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assert source == expected
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def test_cython_wrapper_outarg():
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from sympy.core.relational import Equality
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x, y, z = symbols('x,y,z')
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code_gen = CythonCodeWrapper(C99CodeGen())
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routine = make_routine("test", Equality(z, x + y))
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source = get_string(code_gen.dump_pyx, [routine])
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expected = (
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"cdef extern from 'file.h':\n"
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" void test(double x, double y, double *z)\n"
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"\n"
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"def test_c(double x, double y):\n"
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"\n"
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" cdef double z = 0\n"
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" test(x, y, &z)\n"
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" return z")
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assert source == expected
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def test_cython_wrapper_inoutarg():
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from sympy.core.relational import Equality
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x, y, z = symbols('x,y,z')
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code_gen = CythonCodeWrapper(C99CodeGen())
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routine = make_routine("test", Equality(z, x + y + z))
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source = get_string(code_gen.dump_pyx, [routine])
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expected = (
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"cdef extern from 'file.h':\n"
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" void test(double x, double y, double *z)\n"
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"\n"
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"def test_c(double x, double y, double z):\n"
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"\n"
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" test(x, y, &z)\n"
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" return z")
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assert source == expected
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def test_cython_wrapper_compile_flags():
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from sympy.core.relational import Equality
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x, y, z = symbols('x,y,z')
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routine = make_routine("test", Equality(z, x + y))
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code_gen = CythonCodeWrapper(CCodeGen())
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expected = """\
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from setuptools import setup
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from setuptools import Extension
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from Cython.Build import cythonize
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cy_opts = {'compiler_directives': {'language_level': '3'}}
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ext_mods = [Extension(
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'wrapper_module_%(num)s', ['wrapper_module_%(num)s.pyx', 'wrapped_code_%(num)s.c'],
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include_dirs=[],
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library_dirs=[],
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libraries=[],
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extra_compile_args=['-std=c99'],
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extra_link_args=[]
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)]
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setup(ext_modules=cythonize(ext_mods, **cy_opts))
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""" % {'num': CodeWrapper._module_counter}
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temp_dir = tempfile.mkdtemp()
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TmpFileManager.tmp_folder(temp_dir)
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setup_file_path = os.path.join(temp_dir, 'setup.py')
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code_gen._prepare_files(routine, build_dir=temp_dir)
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setup_text = Path(setup_file_path).read_text()
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assert setup_text == expected
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code_gen = CythonCodeWrapper(CCodeGen(),
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include_dirs=['/usr/local/include', '/opt/booger/include'],
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library_dirs=['/user/local/lib'],
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libraries=['thelib', 'nilib'],
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extra_compile_args=['-slow-math'],
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extra_link_args=['-lswamp', '-ltrident'],
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cythonize_options={'compiler_directives': {'boundscheck': False}}
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)
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expected = """\
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from setuptools import setup
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from setuptools import Extension
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from Cython.Build import cythonize
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cy_opts = {'compiler_directives': {'boundscheck': False}}
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ext_mods = [Extension(
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'wrapper_module_%(num)s', ['wrapper_module_%(num)s.pyx', 'wrapped_code_%(num)s.c'],
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include_dirs=['/usr/local/include', '/opt/booger/include'],
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library_dirs=['/user/local/lib'],
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libraries=['thelib', 'nilib'],
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extra_compile_args=['-slow-math', '-std=c99'],
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extra_link_args=['-lswamp', '-ltrident']
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)]
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setup(ext_modules=cythonize(ext_mods, **cy_opts))
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""" % {'num': CodeWrapper._module_counter}
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code_gen._prepare_files(routine, build_dir=temp_dir)
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setup_text = Path(setup_file_path).read_text()
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assert setup_text == expected
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expected = """\
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from setuptools import setup
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from setuptools import Extension
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from Cython.Build import cythonize
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cy_opts = {'compiler_directives': {'boundscheck': False}}
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import numpy as np
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ext_mods = [Extension(
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'wrapper_module_%(num)s', ['wrapper_module_%(num)s.pyx', 'wrapped_code_%(num)s.c'],
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include_dirs=['/usr/local/include', '/opt/booger/include', np.get_include()],
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library_dirs=['/user/local/lib'],
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libraries=['thelib', 'nilib'],
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extra_compile_args=['-slow-math', '-std=c99'],
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extra_link_args=['-lswamp', '-ltrident']
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)]
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setup(ext_modules=cythonize(ext_mods, **cy_opts))
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""" % {'num': CodeWrapper._module_counter}
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code_gen._need_numpy = True
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code_gen._prepare_files(routine, build_dir=temp_dir)
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setup_text = Path(setup_file_path).read_text()
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assert setup_text == expected
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TmpFileManager.cleanup()
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def test_cython_wrapper_unique_dummyvars():
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from sympy.core.relational import Equality
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from sympy.core.symbol import Dummy
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x, y, z = Dummy('x'), Dummy('y'), Dummy('z')
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x_id, y_id, z_id = [str(d.dummy_index) for d in [x, y, z]]
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expr = Equality(z, x + y)
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routine = make_routine("test", expr)
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code_gen = CythonCodeWrapper(CCodeGen())
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source = get_string(code_gen.dump_pyx, [routine])
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expected_template = (
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"cdef extern from 'file.h':\n"
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" void test(double x_{x_id}, double y_{y_id}, double *z_{z_id})\n"
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"\n"
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"def test_c(double x_{x_id}, double y_{y_id}):\n"
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"\n"
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" cdef double z_{z_id} = 0\n"
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" test(x_{x_id}, y_{y_id}, &z_{z_id})\n"
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" return z_{z_id}")
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expected = expected_template.format(x_id=x_id, y_id=y_id, z_id=z_id)
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assert source == expected
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def test_autowrap_dummy():
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x, y, z = symbols('x y z')
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# Uses DummyWrapper to test that codegen works as expected
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f = autowrap(x + y, backend='dummy')
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assert f() == str(x + y)
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assert f.args == "x, y"
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assert f.returns == "nameless"
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f = autowrap(Eq(z, x + y), backend='dummy')
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assert f() == str(x + y)
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assert f.args == "x, y"
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assert f.returns == "z"
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f = autowrap(Eq(z, x + y + z), backend='dummy')
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assert f() == str(x + y + z)
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assert f.args == "x, y, z"
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assert f.returns == "z"
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def test_autowrap_args():
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x, y, z = symbols('x y z')
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raises(CodeGenArgumentListError, lambda: autowrap(Eq(z, x + y),
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backend='dummy', args=[x]))
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f = autowrap(Eq(z, x + y), backend='dummy', args=[y, x])
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assert f() == str(x + y)
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assert f.args == "y, x"
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assert f.returns == "z"
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raises(CodeGenArgumentListError, lambda: autowrap(Eq(z, x + y + z),
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backend='dummy', args=[x, y]))
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f = autowrap(Eq(z, x + y + z), backend='dummy', args=[y, x, z])
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assert f() == str(x + y + z)
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assert f.args == "y, x, z"
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assert f.returns == "z"
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f = autowrap(Eq(z, x + y + z), backend='dummy', args=(y, x, z))
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assert f() == str(x + y + z)
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assert f.args == "y, x, z"
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assert f.returns == "z"
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def test_autowrap_store_files():
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x, y = symbols('x y')
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tmp = tempfile.mkdtemp()
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TmpFileManager.tmp_folder(tmp)
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f = autowrap(x + y, backend='dummy', tempdir=tmp)
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assert f() == str(x + y)
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assert os.access(tmp, os.F_OK)
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TmpFileManager.cleanup()
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def test_autowrap_store_files_issue_gh12939():
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x, y = symbols('x y')
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tmp = './tmp'
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saved_cwd = os.getcwd()
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temp_cwd = tempfile.mkdtemp()
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try:
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os.chdir(temp_cwd)
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f = autowrap(x + y, backend='dummy', tempdir=tmp)
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assert f() == str(x + y)
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assert os.access(tmp, os.F_OK)
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finally:
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os.chdir(saved_cwd)
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shutil.rmtree(temp_cwd)
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def test_binary_function():
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x, y = symbols('x y')
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f = binary_function('f', x + y, backend='dummy')
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assert f._imp_() == str(x + y)
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def test_ufuncify_source():
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x, y, z = symbols('x,y,z')
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code_wrapper = UfuncifyCodeWrapper(C99CodeGen("ufuncify"))
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routine = make_routine("test", x + y + z)
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source = get_string(code_wrapper.dump_c, [routine])
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expected = """\
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#include "Python.h"
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#include "math.h"
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#include "numpy/ndarraytypes.h"
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#include "numpy/ufuncobject.h"
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#include "numpy/halffloat.h"
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#include "file.h"
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static PyMethodDef wrapper_module_%(num)sMethods[] = {
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{NULL, NULL, 0, NULL}
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};
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#ifdef NPY_1_19_API_VERSION
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static void test_ufunc(char **args, const npy_intp *dimensions, const npy_intp* steps, void* data)
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#else
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static void test_ufunc(char **args, npy_intp *dimensions, npy_intp* steps, void* data)
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#endif
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{
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npy_intp i;
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npy_intp n = dimensions[0];
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char *in0 = args[0];
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char *in1 = args[1];
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char *in2 = args[2];
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char *out0 = args[3];
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npy_intp in0_step = steps[0];
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npy_intp in1_step = steps[1];
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npy_intp in2_step = steps[2];
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npy_intp out0_step = steps[3];
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for (i = 0; i < n; i++) {
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*((double *)out0) = test(*(double *)in0, *(double *)in1, *(double *)in2);
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in0 += in0_step;
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in1 += in1_step;
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in2 += in2_step;
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out0 += out0_step;
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}
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}
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PyUFuncGenericFunction test_funcs[1] = {&test_ufunc};
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static char test_types[4] = {NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE};
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static void *test_data[1] = {NULL};
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#if PY_VERSION_HEX >= 0x03000000
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static struct PyModuleDef moduledef = {
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PyModuleDef_HEAD_INIT,
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"wrapper_module_%(num)s",
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NULL,
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-1,
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wrapper_module_%(num)sMethods,
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NULL,
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NULL,
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NULL,
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NULL
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};
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PyMODINIT_FUNC PyInit_wrapper_module_%(num)s(void)
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{
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PyObject *m, *d;
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PyObject *ufunc0;
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m = PyModule_Create(&moduledef);
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if (!m) {
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return NULL;
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}
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import_array();
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import_umath();
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d = PyModule_GetDict(m);
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ufunc0 = PyUFunc_FromFuncAndData(test_funcs, test_data, test_types, 1, 3, 1,
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PyUFunc_None, "wrapper_module_%(num)s", "Created in SymPy with Ufuncify", 0);
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PyDict_SetItemString(d, "test", ufunc0);
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Py_DECREF(ufunc0);
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return m;
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}
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#else
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PyMODINIT_FUNC initwrapper_module_%(num)s(void)
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{
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PyObject *m, *d;
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PyObject *ufunc0;
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m = Py_InitModule("wrapper_module_%(num)s", wrapper_module_%(num)sMethods);
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if (m == NULL) {
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return;
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}
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import_array();
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import_umath();
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d = PyModule_GetDict(m);
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ufunc0 = PyUFunc_FromFuncAndData(test_funcs, test_data, test_types, 1, 3, 1,
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PyUFunc_None, "wrapper_module_%(num)s", "Created in SymPy with Ufuncify", 0);
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PyDict_SetItemString(d, "test", ufunc0);
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Py_DECREF(ufunc0);
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}
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#endif""" % {'num': CodeWrapper._module_counter}
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assert source == expected
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def test_ufuncify_source_multioutput():
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x, y, z = symbols('x,y,z')
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var_symbols = (x, y, z)
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expr = x + y**3 + 10*z**2
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code_wrapper = UfuncifyCodeWrapper(C99CodeGen("ufuncify"))
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routines = [make_routine("func{}".format(i), expr.diff(var_symbols[i]), var_symbols) for i in range(len(var_symbols))]
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source = get_string(code_wrapper.dump_c, routines, funcname='multitest')
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expected = """\
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#include "Python.h"
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#include "math.h"
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#include "numpy/ndarraytypes.h"
|
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#include "numpy/ufuncobject.h"
|
||||
#include "numpy/halffloat.h"
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||||
#include "file.h"
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||||
|
||||
static PyMethodDef wrapper_module_%(num)sMethods[] = {
|
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{NULL, NULL, 0, NULL}
|
||||
};
|
||||
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||||
#ifdef NPY_1_19_API_VERSION
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static void multitest_ufunc(char **args, const npy_intp *dimensions, const npy_intp* steps, void* data)
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#else
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static void multitest_ufunc(char **args, npy_intp *dimensions, npy_intp* steps, void* data)
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#endif
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||||
{
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npy_intp i;
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||||
npy_intp n = dimensions[0];
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char *in0 = args[0];
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char *in1 = args[1];
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char *in2 = args[2];
|
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char *out0 = args[3];
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char *out1 = args[4];
|
||||
char *out2 = args[5];
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||||
npy_intp in0_step = steps[0];
|
||||
npy_intp in1_step = steps[1];
|
||||
npy_intp in2_step = steps[2];
|
||||
npy_intp out0_step = steps[3];
|
||||
npy_intp out1_step = steps[4];
|
||||
npy_intp out2_step = steps[5];
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||||
for (i = 0; i < n; i++) {
|
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*((double *)out0) = func0(*(double *)in0, *(double *)in1, *(double *)in2);
|
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*((double *)out1) = func1(*(double *)in0, *(double *)in1, *(double *)in2);
|
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*((double *)out2) = func2(*(double *)in0, *(double *)in1, *(double *)in2);
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in0 += in0_step;
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||||
in1 += in1_step;
|
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in2 += in2_step;
|
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out0 += out0_step;
|
||||
out1 += out1_step;
|
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out2 += out2_step;
|
||||
}
|
||||
}
|
||||
PyUFuncGenericFunction multitest_funcs[1] = {&multitest_ufunc};
|
||||
static char multitest_types[6] = {NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE, NPY_DOUBLE};
|
||||
static void *multitest_data[1] = {NULL};
|
||||
|
||||
#if PY_VERSION_HEX >= 0x03000000
|
||||
static struct PyModuleDef moduledef = {
|
||||
PyModuleDef_HEAD_INIT,
|
||||
"wrapper_module_%(num)s",
|
||||
NULL,
|
||||
-1,
|
||||
wrapper_module_%(num)sMethods,
|
||||
NULL,
|
||||
NULL,
|
||||
NULL,
|
||||
NULL
|
||||
};
|
||||
|
||||
PyMODINIT_FUNC PyInit_wrapper_module_%(num)s(void)
|
||||
{
|
||||
PyObject *m, *d;
|
||||
PyObject *ufunc0;
|
||||
m = PyModule_Create(&moduledef);
|
||||
if (!m) {
|
||||
return NULL;
|
||||
}
|
||||
import_array();
|
||||
import_umath();
|
||||
d = PyModule_GetDict(m);
|
||||
ufunc0 = PyUFunc_FromFuncAndData(multitest_funcs, multitest_data, multitest_types, 1, 3, 3,
|
||||
PyUFunc_None, "wrapper_module_%(num)s", "Created in SymPy with Ufuncify", 0);
|
||||
PyDict_SetItemString(d, "multitest", ufunc0);
|
||||
Py_DECREF(ufunc0);
|
||||
return m;
|
||||
}
|
||||
#else
|
||||
PyMODINIT_FUNC initwrapper_module_%(num)s(void)
|
||||
{
|
||||
PyObject *m, *d;
|
||||
PyObject *ufunc0;
|
||||
m = Py_InitModule("wrapper_module_%(num)s", wrapper_module_%(num)sMethods);
|
||||
if (m == NULL) {
|
||||
return;
|
||||
}
|
||||
import_array();
|
||||
import_umath();
|
||||
d = PyModule_GetDict(m);
|
||||
ufunc0 = PyUFunc_FromFuncAndData(multitest_funcs, multitest_data, multitest_types, 1, 3, 3,
|
||||
PyUFunc_None, "wrapper_module_%(num)s", "Created in SymPy with Ufuncify", 0);
|
||||
PyDict_SetItemString(d, "multitest", ufunc0);
|
||||
Py_DECREF(ufunc0);
|
||||
}
|
||||
#endif""" % {'num': CodeWrapper._module_counter}
|
||||
assert source == expected
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,620 @@
|
||||
from io import StringIO
|
||||
|
||||
from sympy.core import S, symbols, Eq, pi, Catalan, EulerGamma, Function
|
||||
from sympy.core.relational import Equality
|
||||
from sympy.functions.elementary.piecewise import Piecewise
|
||||
from sympy.matrices import Matrix, MatrixSymbol
|
||||
from sympy.utilities.codegen import JuliaCodeGen, codegen, make_routine
|
||||
from sympy.testing.pytest import XFAIL
|
||||
import sympy
|
||||
|
||||
|
||||
x, y, z = symbols('x,y,z')
|
||||
|
||||
|
||||
def test_empty_jl_code():
|
||||
code_gen = JuliaCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_jl([], output, "file", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
assert source == ""
|
||||
|
||||
|
||||
def test_jl_simple_code():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
assert result[0] == "test.jl"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" out1 = z .* (x + y)\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_simple_code_with_header():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Julia", header=True, empty=False)
|
||||
assert result[0] == "test.jl"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"# Code generated with SymPy " + sympy.__version__ + "\n"
|
||||
"#\n"
|
||||
"# See http://www.sympy.org/ for more information.\n"
|
||||
"#\n"
|
||||
"# This file is part of 'project'\n"
|
||||
"function test(x, y, z)\n"
|
||||
" out1 = z .* (x + y)\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_simple_code_nameout():
|
||||
expr = Equality(z, (x + y))
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y)\n"
|
||||
" z = x + y\n"
|
||||
" return z\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_numbersymbol():
|
||||
name_expr = ("test", pi**Catalan)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test()\n"
|
||||
" out1 = pi ^ catalan\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_jl_numbersymbol_no_inline():
|
||||
# FIXME: how to pass inline=False to the JuliaCodePrinter?
|
||||
name_expr = ("test", [pi**Catalan, EulerGamma])
|
||||
result, = codegen(name_expr, "Julia", header=False,
|
||||
empty=False, inline=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test()\n"
|
||||
" Catalan = 0.915965594177219\n"
|
||||
" EulerGamma = 0.5772156649015329\n"
|
||||
" out1 = pi ^ Catalan\n"
|
||||
" out2 = EulerGamma\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_code_argument_order():
|
||||
expr = x + y
|
||||
routine = make_routine("test", expr, argument_sequence=[z, x, y], language="julia")
|
||||
code_gen = JuliaCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_jl([routine], output, "test", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
expected = (
|
||||
"function test(z, x, y)\n"
|
||||
" out1 = x + y\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_multiple_results_m():
|
||||
# Here the output order is the input order
|
||||
expr1 = (x + y)*z
|
||||
expr2 = (x - y)*z
|
||||
name_expr = ("test", [expr1, expr2])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" out1 = z .* (x + y)\n"
|
||||
" out2 = z .* (x - y)\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_unordered():
|
||||
# Here output order is based on name_expr
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" C = z .* (x + y)\n"
|
||||
" A = z .* (x - y)\n"
|
||||
" B = 2 * x\n"
|
||||
" return C, A, B\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_ordered():
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result = codegen(name_expr, "Julia", header=False, empty=False,
|
||||
argument_sequence=(x, z, y))
|
||||
assert result[0][0] == "test.jl"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function test(x, z, y)\n"
|
||||
" C = z .* (x + y)\n"
|
||||
" A = z .* (x - y)\n"
|
||||
" B = 2 * x\n"
|
||||
" return C, A, B\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_complicated_jl_codegen():
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin, tan)
|
||||
name_expr = ("testlong",
|
||||
[ ((sin(x) + cos(y) + tan(z))**3).expand(),
|
||||
cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))))
|
||||
])
|
||||
result = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
assert result[0][0] == "testlong.jl"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function testlong(x, y, z)\n"
|
||||
" out1 = sin(x) .^ 3 + 3 * sin(x) .^ 2 .* cos(y) + 3 * sin(x) .^ 2 .* tan(z)"
|
||||
" + 3 * sin(x) .* cos(y) .^ 2 + 6 * sin(x) .* cos(y) .* tan(z) + 3 * sin(x) .* tan(z) .^ 2"
|
||||
" + cos(y) .^ 3 + 3 * cos(y) .^ 2 .* tan(z) + 3 * cos(y) .* tan(z) .^ 2 + tan(z) .^ 3\n"
|
||||
" out2 = cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))))\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_output_arg_mixed_unordered():
|
||||
# named outputs are alphabetical, unnamed output appear in the given order
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin)
|
||||
a = symbols("a")
|
||||
name_expr = ("foo", [cos(2*x), Equality(y, sin(x)), cos(x), Equality(a, sin(2*x))])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
assert result[0] == "foo.jl"
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function foo(x)\n'
|
||||
' out1 = cos(2 * x)\n'
|
||||
' y = sin(x)\n'
|
||||
' out3 = cos(x)\n'
|
||||
' a = sin(2 * x)\n'
|
||||
' return out1, y, out3, a\n'
|
||||
'end\n'
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_piecewise_():
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True), evaluate=False)
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function pwtest(x)\n"
|
||||
" out1 = ((x < -1) ? (0) :\n"
|
||||
" (x <= 1) ? (x .^ 2) :\n"
|
||||
" (x > 1) ? (2 - x) : (1))\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_jl_piecewise_no_inline():
|
||||
# FIXME: how to pass inline=False to the JuliaCodePrinter?
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True))
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False,
|
||||
inline=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function pwtest(x)\n"
|
||||
" if (x < -1)\n"
|
||||
" out1 = 0\n"
|
||||
" elseif (x <= 1)\n"
|
||||
" out1 = x .^ 2\n"
|
||||
" elseif (x > 1)\n"
|
||||
" out1 = -x + 2\n"
|
||||
" else\n"
|
||||
" out1 = 1\n"
|
||||
" end\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_multifcns_per_file():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
assert result[0][0] == "foo.jl"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function foo(x, y)\n"
|
||||
" out1 = 2 * x\n"
|
||||
" out2 = 3 * y\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
"function bar(y)\n"
|
||||
" out1 = y .^ 2\n"
|
||||
" out2 = 4 * y\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_multifcns_per_file_w_header():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Julia", header=True, empty=False)
|
||||
assert result[0][0] == "foo.jl"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"# Code generated with SymPy " + sympy.__version__ + "\n"
|
||||
"#\n"
|
||||
"# See http://www.sympy.org/ for more information.\n"
|
||||
"#\n"
|
||||
"# This file is part of 'project'\n"
|
||||
"function foo(x, y)\n"
|
||||
" out1 = 2 * x\n"
|
||||
" out2 = 3 * y\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
"function bar(y)\n"
|
||||
" out1 = y .^ 2\n"
|
||||
" out2 = 4 * y\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_filename_match_prefix():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result, = codegen(name_expr, "Julia", prefix="baz", header=False,
|
||||
empty=False)
|
||||
assert result[0] == "baz.jl"
|
||||
|
||||
|
||||
def test_jl_matrix_named():
|
||||
e2 = Matrix([[x, 2*y, pi*z]])
|
||||
name_expr = ("test", Equality(MatrixSymbol('myout1', 1, 3), e2))
|
||||
result = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
assert result[0][0] == "test.jl"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" myout1 = [x 2 * y pi * z]\n"
|
||||
" return myout1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrix_named_matsym():
|
||||
myout1 = MatrixSymbol('myout1', 1, 3)
|
||||
e2 = Matrix([[x, 2*y, pi*z]])
|
||||
name_expr = ("test", Equality(myout1, e2, evaluate=False))
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" myout1 = [x 2 * y pi * z]\n"
|
||||
" return myout1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrix_output_autoname():
|
||||
expr = Matrix([[x, x+y, 3]])
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y)\n"
|
||||
" out1 = [x x + y 3]\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrix_output_autoname_2():
|
||||
e1 = (x + y)
|
||||
e2 = Matrix([[2*x, 2*y, 2*z]])
|
||||
e3 = Matrix([[x], [y], [z]])
|
||||
e4 = Matrix([[x, y], [z, 16]])
|
||||
name_expr = ("test", (e1, e2, e3, e4))
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y, z)\n"
|
||||
" out1 = x + y\n"
|
||||
" out2 = [2 * x 2 * y 2 * z]\n"
|
||||
" out3 = [x, y, z]\n"
|
||||
" out4 = [x y;\n"
|
||||
" z 16]\n"
|
||||
" return out1, out2, out3, out4\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_results_matrix_named_ordered():
|
||||
B, C = symbols('B,C')
|
||||
A = MatrixSymbol('A', 1, 3)
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, Matrix([[1, 2, x]]))
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False,
|
||||
argument_sequence=(x, z, y))
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, z, y)\n"
|
||||
" C = z .* (x + y)\n"
|
||||
" A = [1 2 x]\n"
|
||||
" B = 2 * x\n"
|
||||
" return C, A, B\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrixsymbol_slice():
|
||||
A = MatrixSymbol('A', 2, 3)
|
||||
B = MatrixSymbol('B', 1, 3)
|
||||
C = MatrixSymbol('C', 1, 3)
|
||||
D = MatrixSymbol('D', 2, 1)
|
||||
name_expr = ("test", [Equality(B, A[0, :]),
|
||||
Equality(C, A[1, :]),
|
||||
Equality(D, A[:, 2])])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(A)\n"
|
||||
" B = A[1,:]\n"
|
||||
" C = A[2,:]\n"
|
||||
" D = A[:,3]\n"
|
||||
" return B, C, D\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrixsymbol_slice2():
|
||||
A = MatrixSymbol('A', 3, 4)
|
||||
B = MatrixSymbol('B', 2, 2)
|
||||
C = MatrixSymbol('C', 2, 2)
|
||||
name_expr = ("test", [Equality(B, A[0:2, 0:2]),
|
||||
Equality(C, A[0:2, 1:3])])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(A)\n"
|
||||
" B = A[1:2,1:2]\n"
|
||||
" C = A[1:2,2:3]\n"
|
||||
" return B, C\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrixsymbol_slice3():
|
||||
A = MatrixSymbol('A', 8, 7)
|
||||
B = MatrixSymbol('B', 2, 2)
|
||||
C = MatrixSymbol('C', 4, 2)
|
||||
name_expr = ("test", [Equality(B, A[6:, 1::3]),
|
||||
Equality(C, A[::2, ::3])])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(A)\n"
|
||||
" B = A[7:end,2:3:end]\n"
|
||||
" C = A[1:2:end,1:3:end]\n"
|
||||
" return B, C\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_matrixsymbol_slice_autoname():
|
||||
A = MatrixSymbol('A', 2, 3)
|
||||
B = MatrixSymbol('B', 1, 3)
|
||||
name_expr = ("test", [Equality(B, A[0,:]), A[1,:], A[:,0], A[:,1]])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(A)\n"
|
||||
" B = A[1,:]\n"
|
||||
" out2 = A[2,:]\n"
|
||||
" out3 = A[:,1]\n"
|
||||
" out4 = A[:,2]\n"
|
||||
" return B, out2, out3, out4\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_loops():
|
||||
# Note: an Julia programmer would probably vectorize this across one or
|
||||
# more dimensions. Also, size(A) would be used rather than passing in m
|
||||
# and n. Perhaps users would expect us to vectorize automatically here?
|
||||
# Or is it possible to represent such things using IndexedBase?
|
||||
from sympy.tensor import IndexedBase, Idx
|
||||
from sympy.core.symbol import symbols
|
||||
n, m = symbols('n m', integer=True)
|
||||
A = IndexedBase('A')
|
||||
x = IndexedBase('x')
|
||||
y = IndexedBase('y')
|
||||
i = Idx('i', m)
|
||||
j = Idx('j', n)
|
||||
result, = codegen(('mat_vec_mult', Eq(y[i], A[i, j]*x[j])), "Julia",
|
||||
header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function mat_vec_mult(y, A, m, n, x)\n'
|
||||
' for i = 1:m\n'
|
||||
' y[i] = 0\n'
|
||||
' end\n'
|
||||
' for i = 1:m\n'
|
||||
' for j = 1:n\n'
|
||||
' y[i] = %(rhs)s + y[i]\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' return y\n'
|
||||
'end\n'
|
||||
)
|
||||
assert (source == expected % {'rhs': 'A[%s,%s] .* x[j]' % (i, j)} or
|
||||
source == expected % {'rhs': 'x[j] .* A[%s,%s]' % (i, j)})
|
||||
|
||||
|
||||
def test_jl_tensor_loops_multiple_contractions():
|
||||
# see comments in previous test about vectorizing
|
||||
from sympy.tensor import IndexedBase, Idx
|
||||
from sympy.core.symbol import symbols
|
||||
n, m, o, p = symbols('n m o p', integer=True)
|
||||
A = IndexedBase('A')
|
||||
B = IndexedBase('B')
|
||||
y = IndexedBase('y')
|
||||
i = Idx('i', m)
|
||||
j = Idx('j', n)
|
||||
k = Idx('k', o)
|
||||
l = Idx('l', p)
|
||||
result, = codegen(('tensorthing', Eq(y[i], B[j, k, l]*A[i, j, k, l])),
|
||||
"Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function tensorthing(y, A, B, m, n, o, p)\n'
|
||||
' for i = 1:m\n'
|
||||
' y[i] = 0\n'
|
||||
' end\n'
|
||||
' for i = 1:m\n'
|
||||
' for j = 1:n\n'
|
||||
' for k = 1:o\n'
|
||||
' for l = 1:p\n'
|
||||
' y[i] = A[i,j,k,l] .* B[j,k,l] + y[i]\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' return y\n'
|
||||
'end\n'
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_InOutArgument():
|
||||
expr = Equality(x, x**2)
|
||||
name_expr = ("mysqr", expr)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function mysqr(x)\n"
|
||||
" x = x .^ 2\n"
|
||||
" return x\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_InOutArgument_order():
|
||||
# can specify the order as (x, y)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Julia", header=False,
|
||||
empty=False, argument_sequence=(x,y))
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y)\n"
|
||||
" x = x .^ 2 + y\n"
|
||||
" return x\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
# make sure it gives (x, y) not (y, x)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x, y)\n"
|
||||
" x = x .^ 2 + y\n"
|
||||
" return x\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_jl_not_supported():
|
||||
f = Function('f')
|
||||
name_expr = ("test", [f(x).diff(x), S.ComplexInfinity])
|
||||
result, = codegen(name_expr, "Julia", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function test(x)\n"
|
||||
" # unsupported: Derivative(f(x), x)\n"
|
||||
" # unsupported: zoo\n"
|
||||
" out1 = Derivative(f(x), x)\n"
|
||||
" out2 = zoo\n"
|
||||
" return out1, out2\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_global_vars_octave():
|
||||
x, y, z, t = symbols("x y z t")
|
||||
result = codegen(('f', x*y), "Julia", header=False, empty=False,
|
||||
global_vars=(y,))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function f(x)\n"
|
||||
" out1 = x .* y\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
result = codegen(('f', x*y+z), "Julia", header=False, empty=False,
|
||||
argument_sequence=(x, y), global_vars=(z, t))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function f(x, y)\n"
|
||||
" out1 = x .* y + z\n"
|
||||
" return out1\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
@@ -0,0 +1,589 @@
|
||||
from io import StringIO
|
||||
|
||||
from sympy.core import S, symbols, Eq, pi, Catalan, EulerGamma, Function
|
||||
from sympy.core.relational import Equality
|
||||
from sympy.functions.elementary.piecewise import Piecewise
|
||||
from sympy.matrices import Matrix, MatrixSymbol
|
||||
from sympy.utilities.codegen import OctaveCodeGen, codegen, make_routine
|
||||
from sympy.testing.pytest import raises
|
||||
from sympy.testing.pytest import XFAIL
|
||||
import sympy
|
||||
|
||||
|
||||
x, y, z = symbols('x,y,z')
|
||||
|
||||
|
||||
def test_empty_m_code():
|
||||
code_gen = OctaveCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_m([], output, "file", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
assert source == ""
|
||||
|
||||
|
||||
def test_m_simple_code():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
assert result[0] == "test.m"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = test(x, y, z)\n"
|
||||
" out1 = z.*(x + y);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_simple_code_with_header():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Octave", header=True, empty=False)
|
||||
assert result[0] == "test.m"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = test(x, y, z)\n"
|
||||
" %TEST Autogenerated by SymPy\n"
|
||||
" % Code generated with SymPy " + sympy.__version__ + "\n"
|
||||
" %\n"
|
||||
" % See http://www.sympy.org/ for more information.\n"
|
||||
" %\n"
|
||||
" % This file is part of 'project'\n"
|
||||
" out1 = z.*(x + y);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_simple_code_nameout():
|
||||
expr = Equality(z, (x + y))
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function z = test(x, y)\n"
|
||||
" z = x + y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_numbersymbol():
|
||||
name_expr = ("test", pi**Catalan)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = test()\n"
|
||||
" out1 = pi^%s;\n"
|
||||
"end\n"
|
||||
) % Catalan.evalf(17)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_m_numbersymbol_no_inline():
|
||||
# FIXME: how to pass inline=False to the OctaveCodePrinter?
|
||||
name_expr = ("test", [pi**Catalan, EulerGamma])
|
||||
result, = codegen(name_expr, "Octave", header=False,
|
||||
empty=False, inline=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [out1, out2] = test()\n"
|
||||
" Catalan = 0.915965594177219; % constant\n"
|
||||
" EulerGamma = 0.5772156649015329; % constant\n"
|
||||
" out1 = pi^Catalan;\n"
|
||||
" out2 = EulerGamma;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_code_argument_order():
|
||||
expr = x + y
|
||||
routine = make_routine("test", expr, argument_sequence=[z, x, y], language="octave")
|
||||
code_gen = OctaveCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_m([routine], output, "test", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
expected = (
|
||||
"function out1 = test(z, x, y)\n"
|
||||
" out1 = x + y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_multiple_results_m():
|
||||
# Here the output order is the input order
|
||||
expr1 = (x + y)*z
|
||||
expr2 = (x - y)*z
|
||||
name_expr = ("test", [expr1, expr2])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [out1, out2] = test(x, y, z)\n"
|
||||
" out1 = z.*(x + y);\n"
|
||||
" out2 = z.*(x - y);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_unordered():
|
||||
# Here output order is based on name_expr
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [C, A, B] = test(x, y, z)\n"
|
||||
" C = z.*(x + y);\n"
|
||||
" A = z.*(x - y);\n"
|
||||
" B = 2*x;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_ordered():
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result = codegen(name_expr, "Octave", header=False, empty=False,
|
||||
argument_sequence=(x, z, y))
|
||||
assert result[0][0] == "test.m"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function [C, A, B] = test(x, z, y)\n"
|
||||
" C = z.*(x + y);\n"
|
||||
" A = z.*(x - y);\n"
|
||||
" B = 2*x;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_complicated_m_codegen():
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin, tan)
|
||||
name_expr = ("testlong",
|
||||
[ ((sin(x) + cos(y) + tan(z))**3).expand(),
|
||||
cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))))
|
||||
])
|
||||
result = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
assert result[0][0] == "testlong.m"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function [out1, out2] = testlong(x, y, z)\n"
|
||||
" out1 = sin(x).^3 + 3*sin(x).^2.*cos(y) + 3*sin(x).^2.*tan(z)"
|
||||
" + 3*sin(x).*cos(y).^2 + 6*sin(x).*cos(y).*tan(z) + 3*sin(x).*tan(z).^2"
|
||||
" + cos(y).^3 + 3*cos(y).^2.*tan(z) + 3*cos(y).*tan(z).^2 + tan(z).^3;\n"
|
||||
" out2 = cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))));\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_output_arg_mixed_unordered():
|
||||
# named outputs are alphabetical, unnamed output appear in the given order
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin)
|
||||
a = symbols("a")
|
||||
name_expr = ("foo", [cos(2*x), Equality(y, sin(x)), cos(x), Equality(a, sin(2*x))])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
assert result[0] == "foo.m"
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function [out1, y, out3, a] = foo(x)\n'
|
||||
' out1 = cos(2*x);\n'
|
||||
' y = sin(x);\n'
|
||||
' out3 = cos(x);\n'
|
||||
' a = sin(2*x);\n'
|
||||
'end\n'
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_piecewise_():
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True), evaluate=False)
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = pwtest(x)\n"
|
||||
" out1 = ((x < -1).*(0) + (~(x < -1)).*( ...\n"
|
||||
" (x <= 1).*(x.^2) + (~(x <= 1)).*( ...\n"
|
||||
" (x > 1).*(2 - x) + (~(x > 1)).*(1))));\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_m_piecewise_no_inline():
|
||||
# FIXME: how to pass inline=False to the OctaveCodePrinter?
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True))
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False,
|
||||
inline=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = pwtest(x)\n"
|
||||
" if (x < -1)\n"
|
||||
" out1 = 0;\n"
|
||||
" elseif (x <= 1)\n"
|
||||
" out1 = x.^2;\n"
|
||||
" elseif (x > 1)\n"
|
||||
" out1 = -x + 2;\n"
|
||||
" else\n"
|
||||
" out1 = 1;\n"
|
||||
" end\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_multifcns_per_file():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
assert result[0][0] == "foo.m"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function [out1, out2] = foo(x, y)\n"
|
||||
" out1 = 2*x;\n"
|
||||
" out2 = 3*y;\n"
|
||||
"end\n"
|
||||
"function [out1, out2] = bar(y)\n"
|
||||
" out1 = y.^2;\n"
|
||||
" out2 = 4*y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_multifcns_per_file_w_header():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Octave", header=True, empty=False)
|
||||
assert result[0][0] == "foo.m"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function [out1, out2] = foo(x, y)\n"
|
||||
" %FOO Autogenerated by SymPy\n"
|
||||
" % Code generated with SymPy " + sympy.__version__ + "\n"
|
||||
" %\n"
|
||||
" % See http://www.sympy.org/ for more information.\n"
|
||||
" %\n"
|
||||
" % This file is part of 'project'\n"
|
||||
" out1 = 2*x;\n"
|
||||
" out2 = 3*y;\n"
|
||||
"end\n"
|
||||
"function [out1, out2] = bar(y)\n"
|
||||
" out1 = y.^2;\n"
|
||||
" out2 = 4*y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_filename_match_first_fcn():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
raises(ValueError, lambda: codegen(name_expr,
|
||||
"Octave", prefix="bar", header=False, empty=False))
|
||||
|
||||
|
||||
def test_m_matrix_named():
|
||||
e2 = Matrix([[x, 2*y, pi*z]])
|
||||
name_expr = ("test", Equality(MatrixSymbol('myout1', 1, 3), e2))
|
||||
result = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
assert result[0][0] == "test.m"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function myout1 = test(x, y, z)\n"
|
||||
" myout1 = [x 2*y pi*z];\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrix_named_matsym():
|
||||
myout1 = MatrixSymbol('myout1', 1, 3)
|
||||
e2 = Matrix([[x, 2*y, pi*z]])
|
||||
name_expr = ("test", Equality(myout1, e2, evaluate=False))
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function myout1 = test(x, y, z)\n"
|
||||
" myout1 = [x 2*y pi*z];\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrix_output_autoname():
|
||||
expr = Matrix([[x, x+y, 3]])
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function out1 = test(x, y)\n"
|
||||
" out1 = [x x + y 3];\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrix_output_autoname_2():
|
||||
e1 = (x + y)
|
||||
e2 = Matrix([[2*x, 2*y, 2*z]])
|
||||
e3 = Matrix([[x], [y], [z]])
|
||||
e4 = Matrix([[x, y], [z, 16]])
|
||||
name_expr = ("test", (e1, e2, e3, e4))
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [out1, out2, out3, out4] = test(x, y, z)\n"
|
||||
" out1 = x + y;\n"
|
||||
" out2 = [2*x 2*y 2*z];\n"
|
||||
" out3 = [x; y; z];\n"
|
||||
" out4 = [x y; z 16];\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_results_matrix_named_ordered():
|
||||
B, C = symbols('B,C')
|
||||
A = MatrixSymbol('A', 1, 3)
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, Matrix([[1, 2, x]]))
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False,
|
||||
argument_sequence=(x, z, y))
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [C, A, B] = test(x, z, y)\n"
|
||||
" C = z.*(x + y);\n"
|
||||
" A = [1 2 x];\n"
|
||||
" B = 2*x;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrixsymbol_slice():
|
||||
A = MatrixSymbol('A', 2, 3)
|
||||
B = MatrixSymbol('B', 1, 3)
|
||||
C = MatrixSymbol('C', 1, 3)
|
||||
D = MatrixSymbol('D', 2, 1)
|
||||
name_expr = ("test", [Equality(B, A[0, :]),
|
||||
Equality(C, A[1, :]),
|
||||
Equality(D, A[:, 2])])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [B, C, D] = test(A)\n"
|
||||
" B = A(1, :);\n"
|
||||
" C = A(2, :);\n"
|
||||
" D = A(:, 3);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrixsymbol_slice2():
|
||||
A = MatrixSymbol('A', 3, 4)
|
||||
B = MatrixSymbol('B', 2, 2)
|
||||
C = MatrixSymbol('C', 2, 2)
|
||||
name_expr = ("test", [Equality(B, A[0:2, 0:2]),
|
||||
Equality(C, A[0:2, 1:3])])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [B, C] = test(A)\n"
|
||||
" B = A(1:2, 1:2);\n"
|
||||
" C = A(1:2, 2:3);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrixsymbol_slice3():
|
||||
A = MatrixSymbol('A', 8, 7)
|
||||
B = MatrixSymbol('B', 2, 2)
|
||||
C = MatrixSymbol('C', 4, 2)
|
||||
name_expr = ("test", [Equality(B, A[6:, 1::3]),
|
||||
Equality(C, A[::2, ::3])])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [B, C] = test(A)\n"
|
||||
" B = A(7:end, 2:3:end);\n"
|
||||
" C = A(1:2:end, 1:3:end);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_matrixsymbol_slice_autoname():
|
||||
A = MatrixSymbol('A', 2, 3)
|
||||
B = MatrixSymbol('B', 1, 3)
|
||||
name_expr = ("test", [Equality(B, A[0,:]), A[1,:], A[:,0], A[:,1]])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [B, out2, out3, out4] = test(A)\n"
|
||||
" B = A(1, :);\n"
|
||||
" out2 = A(2, :);\n"
|
||||
" out3 = A(:, 1);\n"
|
||||
" out4 = A(:, 2);\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_loops():
|
||||
# Note: an Octave programmer would probably vectorize this across one or
|
||||
# more dimensions. Also, size(A) would be used rather than passing in m
|
||||
# and n. Perhaps users would expect us to vectorize automatically here?
|
||||
# Or is it possible to represent such things using IndexedBase?
|
||||
from sympy.tensor import IndexedBase, Idx
|
||||
from sympy.core.symbol import symbols
|
||||
n, m = symbols('n m', integer=True)
|
||||
A = IndexedBase('A')
|
||||
x = IndexedBase('x')
|
||||
y = IndexedBase('y')
|
||||
i = Idx('i', m)
|
||||
j = Idx('j', n)
|
||||
result, = codegen(('mat_vec_mult', Eq(y[i], A[i, j]*x[j])), "Octave",
|
||||
header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function y = mat_vec_mult(A, m, n, x)\n'
|
||||
' for i = 1:m\n'
|
||||
' y(i) = 0;\n'
|
||||
' end\n'
|
||||
' for i = 1:m\n'
|
||||
' for j = 1:n\n'
|
||||
' y(i) = %(rhs)s + y(i);\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
'end\n'
|
||||
)
|
||||
assert (source == expected % {'rhs': 'A(%s, %s).*x(j)' % (i, j)} or
|
||||
source == expected % {'rhs': 'x(j).*A(%s, %s)' % (i, j)})
|
||||
|
||||
|
||||
def test_m_tensor_loops_multiple_contractions():
|
||||
# see comments in previous test about vectorizing
|
||||
from sympy.tensor import IndexedBase, Idx
|
||||
from sympy.core.symbol import symbols
|
||||
n, m, o, p = symbols('n m o p', integer=True)
|
||||
A = IndexedBase('A')
|
||||
B = IndexedBase('B')
|
||||
y = IndexedBase('y')
|
||||
i = Idx('i', m)
|
||||
j = Idx('j', n)
|
||||
k = Idx('k', o)
|
||||
l = Idx('l', p)
|
||||
result, = codegen(('tensorthing', Eq(y[i], B[j, k, l]*A[i, j, k, l])),
|
||||
"Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
'function y = tensorthing(A, B, m, n, o, p)\n'
|
||||
' for i = 1:m\n'
|
||||
' y(i) = 0;\n'
|
||||
' end\n'
|
||||
' for i = 1:m\n'
|
||||
' for j = 1:n\n'
|
||||
' for k = 1:o\n'
|
||||
' for l = 1:p\n'
|
||||
' y(i) = A(i, j, k, l).*B(j, k, l) + y(i);\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
' end\n'
|
||||
'end\n'
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_InOutArgument():
|
||||
expr = Equality(x, x**2)
|
||||
name_expr = ("mysqr", expr)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function x = mysqr(x)\n"
|
||||
" x = x.^2;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_InOutArgument_order():
|
||||
# can specify the order as (x, y)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Octave", header=False,
|
||||
empty=False, argument_sequence=(x,y))
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function x = test(x, y)\n"
|
||||
" x = x.^2 + y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
# make sure it gives (x, y) not (y, x)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function x = test(x, y)\n"
|
||||
" x = x.^2 + y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_m_not_supported():
|
||||
f = Function('f')
|
||||
name_expr = ("test", [f(x).diff(x), S.ComplexInfinity])
|
||||
result, = codegen(name_expr, "Octave", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"function [out1, out2] = test(x)\n"
|
||||
" % unsupported: Derivative(f(x), x)\n"
|
||||
" % unsupported: zoo\n"
|
||||
" out1 = Derivative(f(x), x);\n"
|
||||
" out2 = zoo;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_global_vars_octave():
|
||||
x, y, z, t = symbols("x y z t")
|
||||
result = codegen(('f', x*y), "Octave", header=False, empty=False,
|
||||
global_vars=(y,))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function out1 = f(x)\n"
|
||||
" global y\n"
|
||||
" out1 = x.*y;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
result = codegen(('f', x*y+z), "Octave", header=False, empty=False,
|
||||
argument_sequence=(x, y), global_vars=(z, t))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"function out1 = f(x, y)\n"
|
||||
" global t z\n"
|
||||
" out1 = x.*y + z;\n"
|
||||
"end\n"
|
||||
)
|
||||
assert source == expected
|
||||
@@ -0,0 +1,401 @@
|
||||
from io import StringIO
|
||||
|
||||
from sympy.core import S, symbols, pi, Catalan, EulerGamma, Function
|
||||
from sympy.core.relational import Equality
|
||||
from sympy.functions.elementary.piecewise import Piecewise
|
||||
from sympy.utilities.codegen import RustCodeGen, codegen, make_routine
|
||||
from sympy.testing.pytest import XFAIL
|
||||
import sympy
|
||||
|
||||
|
||||
x, y, z = symbols('x,y,z')
|
||||
|
||||
|
||||
def test_empty_rust_code():
|
||||
code_gen = RustCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_rs([], output, "file", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
assert source == ""
|
||||
|
||||
|
||||
def test_simple_rust_code():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
assert result[0] == "test.rs"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64, z: f64) -> f64 {\n"
|
||||
" let out1 = z*(x + y);\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_simple_code_with_header():
|
||||
name_expr = ("test", (x + y)*z)
|
||||
result, = codegen(name_expr, "Rust", header=True, empty=False)
|
||||
assert result[0] == "test.rs"
|
||||
source = result[1]
|
||||
version_str = "Code generated with SymPy %s" % sympy.__version__
|
||||
version_line = version_str.center(76).rstrip()
|
||||
expected = (
|
||||
"/*\n"
|
||||
" *%(version_line)s\n"
|
||||
" *\n"
|
||||
" * See http://www.sympy.org/ for more information.\n"
|
||||
" *\n"
|
||||
" * This file is part of 'project'\n"
|
||||
" */\n"
|
||||
"fn test(x: f64, y: f64, z: f64) -> f64 {\n"
|
||||
" let out1 = z*(x + y);\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
) % {'version_line': version_line}
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_simple_code_nameout():
|
||||
expr = Equality(z, (x + y))
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64) -> f64 {\n"
|
||||
" let z = x + y;\n"
|
||||
" z\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_numbersymbol():
|
||||
name_expr = ("test", pi**Catalan)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test() -> f64 {\n"
|
||||
" const Catalan: f64 = %s;\n"
|
||||
" let out1 = PI.powf(Catalan);\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
) % Catalan.evalf(17)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_numbersymbol_inline():
|
||||
# FIXME: how to pass inline to the RustCodePrinter?
|
||||
name_expr = ("test", [pi**Catalan, EulerGamma])
|
||||
result, = codegen(name_expr, "Rust", header=False,
|
||||
empty=False, inline=True)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test() -> (f64, f64) {\n"
|
||||
" const Catalan: f64 = %s;\n"
|
||||
" const EulerGamma: f64 = %s;\n"
|
||||
" let out1 = PI.powf(Catalan);\n"
|
||||
" let out2 = EulerGamma);\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
) % (Catalan.evalf(17), EulerGamma.evalf(17))
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_argument_order():
|
||||
expr = x + y
|
||||
routine = make_routine("test", expr, argument_sequence=[z, x, y], language="rust")
|
||||
code_gen = RustCodeGen()
|
||||
output = StringIO()
|
||||
code_gen.dump_rs([routine], output, "test", header=False, empty=False)
|
||||
source = output.getvalue()
|
||||
expected = (
|
||||
"fn test(z: f64, x: f64, y: f64) -> f64 {\n"
|
||||
" let out1 = x + y;\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_multiple_results_rust():
|
||||
# Here the output order is the input order
|
||||
expr1 = (x + y)*z
|
||||
expr2 = (x - y)*z
|
||||
name_expr = ("test", [expr1, expr2])
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64, z: f64) -> (f64, f64) {\n"
|
||||
" let out1 = z*(x + y);\n"
|
||||
" let out2 = z*(x - y);\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_unordered():
|
||||
# Here output order is based on name_expr
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64, z: f64) -> (f64, f64, f64) {\n"
|
||||
" let C = z*(x + y);\n"
|
||||
" let A = z*(x - y);\n"
|
||||
" let B = 2*x;\n"
|
||||
" (C, A, B)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_results_named_ordered():
|
||||
A, B, C = symbols('A,B,C')
|
||||
expr1 = Equality(C, (x + y)*z)
|
||||
expr2 = Equality(A, (x - y)*z)
|
||||
expr3 = Equality(B, 2*x)
|
||||
name_expr = ("test", [expr1, expr2, expr3])
|
||||
result = codegen(name_expr, "Rust", header=False, empty=False,
|
||||
argument_sequence=(x, z, y))
|
||||
assert result[0][0] == "test.rs"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"fn test(x: f64, z: f64, y: f64) -> (f64, f64, f64) {\n"
|
||||
" let C = z*(x + y);\n"
|
||||
" let A = z*(x - y);\n"
|
||||
" let B = 2*x;\n"
|
||||
" (C, A, B)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_complicated_rs_codegen():
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin, tan)
|
||||
name_expr = ("testlong",
|
||||
[ ((sin(x) + cos(y) + tan(z))**3).expand(),
|
||||
cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))))
|
||||
])
|
||||
result = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
assert result[0][0] == "testlong.rs"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"fn testlong(x: f64, y: f64, z: f64) -> (f64, f64) {\n"
|
||||
" let out1 = x.sin().powi(3) + 3*x.sin().powi(2)*y.cos()"
|
||||
" + 3*x.sin().powi(2)*z.tan() + 3*x.sin()*y.cos().powi(2)"
|
||||
" + 6*x.sin()*y.cos()*z.tan() + 3*x.sin()*z.tan().powi(2)"
|
||||
" + y.cos().powi(3) + 3*y.cos().powi(2)*z.tan()"
|
||||
" + 3*y.cos()*z.tan().powi(2) + z.tan().powi(3);\n"
|
||||
" let out2 = (x + y + z).cos().cos().cos().cos()"
|
||||
".cos().cos().cos().cos();\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_output_arg_mixed_unordered():
|
||||
# named outputs are alphabetical, unnamed output appear in the given order
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin)
|
||||
a = symbols("a")
|
||||
name_expr = ("foo", [cos(2*x), Equality(y, sin(x)), cos(x), Equality(a, sin(2*x))])
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
assert result[0] == "foo.rs"
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn foo(x: f64) -> (f64, f64, f64, f64) {\n"
|
||||
" let out1 = (2*x).cos();\n"
|
||||
" let y = x.sin();\n"
|
||||
" let out3 = x.cos();\n"
|
||||
" let a = (2*x).sin();\n"
|
||||
" (out1, y, out3, a)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_piecewise_():
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True), evaluate=False)
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn pwtest(x: f64) -> f64 {\n"
|
||||
" let out1 = if (x < -1.0) {\n"
|
||||
" 0\n"
|
||||
" } else if (x <= 1.0) {\n"
|
||||
" x.powi(2)\n"
|
||||
" } else if (x > 1.0) {\n"
|
||||
" 2 - x\n"
|
||||
" } else {\n"
|
||||
" 1\n"
|
||||
" };\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_piecewise_inline():
|
||||
# FIXME: how to pass inline to the RustCodePrinter?
|
||||
pw = Piecewise((0, x < -1), (x**2, x <= 1), (-x+2, x > 1), (1, True))
|
||||
name_expr = ("pwtest", pw)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False,
|
||||
inline=True)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn pwtest(x: f64) -> f64 {\n"
|
||||
" let out1 = if (x < -1) { 0 } else if (x <= 1) { x.powi(2) }"
|
||||
" else if (x > 1) { -x + 2 } else { 1 };\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_multifcns_per_file():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
assert result[0][0] == "foo.rs"
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"fn foo(x: f64, y: f64) -> (f64, f64) {\n"
|
||||
" let out1 = 2*x;\n"
|
||||
" let out2 = 3*y;\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
"fn bar(y: f64) -> (f64, f64) {\n"
|
||||
" let out1 = y.powi(2);\n"
|
||||
" let out2 = 4*y;\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_multifcns_per_file_w_header():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result = codegen(name_expr, "Rust", header=True, empty=False)
|
||||
assert result[0][0] == "foo.rs"
|
||||
source = result[0][1]
|
||||
version_str = "Code generated with SymPy %s" % sympy.__version__
|
||||
version_line = version_str.center(76).rstrip()
|
||||
expected = (
|
||||
"/*\n"
|
||||
" *%(version_line)s\n"
|
||||
" *\n"
|
||||
" * See http://www.sympy.org/ for more information.\n"
|
||||
" *\n"
|
||||
" * This file is part of 'project'\n"
|
||||
" */\n"
|
||||
"fn foo(x: f64, y: f64) -> (f64, f64) {\n"
|
||||
" let out1 = 2*x;\n"
|
||||
" let out2 = 3*y;\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
"fn bar(y: f64) -> (f64, f64) {\n"
|
||||
" let out1 = y.powi(2);\n"
|
||||
" let out2 = 4*y;\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
) % {'version_line': version_line}
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_filename_match_prefix():
|
||||
name_expr = [ ("foo", [2*x, 3*y]), ("bar", [y**2, 4*y]) ]
|
||||
result, = codegen(name_expr, "Rust", prefix="baz", header=False,
|
||||
empty=False)
|
||||
assert result[0] == "baz.rs"
|
||||
|
||||
|
||||
def test_InOutArgument():
|
||||
expr = Equality(x, x**2)
|
||||
name_expr = ("mysqr", expr)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn mysqr(x: f64) -> f64 {\n"
|
||||
" let x = x.powi(2);\n"
|
||||
" x\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_InOutArgument_order():
|
||||
# can specify the order as (x, y)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Rust", header=False,
|
||||
empty=False, argument_sequence=(x,y))
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64) -> f64 {\n"
|
||||
" let x = x.powi(2) + y;\n"
|
||||
" x\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
# make sure it gives (x, y) not (y, x)
|
||||
expr = Equality(x, x**2 + y)
|
||||
name_expr = ("test", expr)
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64, y: f64) -> f64 {\n"
|
||||
" let x = x.powi(2) + y;\n"
|
||||
" x\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_not_supported():
|
||||
f = Function('f')
|
||||
name_expr = ("test", [f(x).diff(x), S.ComplexInfinity])
|
||||
result, = codegen(name_expr, "Rust", header=False, empty=False)
|
||||
source = result[1]
|
||||
expected = (
|
||||
"fn test(x: f64) -> (f64, f64) {\n"
|
||||
" // unsupported: Derivative(f(x), x)\n"
|
||||
" // unsupported: zoo\n"
|
||||
" let out1 = Derivative(f(x), x);\n"
|
||||
" let out2 = zoo;\n"
|
||||
" (out1, out2)\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
|
||||
def test_global_vars_rust():
|
||||
x, y, z, t = symbols("x y z t")
|
||||
result = codegen(('f', x*y), "Rust", header=False, empty=False,
|
||||
global_vars=(y,))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"fn f(x: f64) -> f64 {\n"
|
||||
" let out1 = x*y;\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
|
||||
result = codegen(('f', x*y+z), "Rust", header=False, empty=False,
|
||||
argument_sequence=(x, y), global_vars=(z, t))
|
||||
source = result[0][1]
|
||||
expected = (
|
||||
"fn f(x: f64, y: f64) -> f64 {\n"
|
||||
" let out1 = x*y + z;\n"
|
||||
" out1\n"
|
||||
"}\n"
|
||||
)
|
||||
assert source == expected
|
||||
@@ -0,0 +1,129 @@
|
||||
from functools import wraps
|
||||
|
||||
from sympy.utilities.decorator import threaded, xthreaded, memoize_property, deprecated
|
||||
from sympy.testing.pytest import warns_deprecated_sympy
|
||||
|
||||
from sympy.core.basic import Basic
|
||||
from sympy.core.relational import Eq
|
||||
from sympy.matrices.dense import Matrix
|
||||
|
||||
from sympy.abc import x, y
|
||||
|
||||
|
||||
def test_threaded():
|
||||
@threaded
|
||||
def function(expr, *args):
|
||||
return 2*expr + sum(args)
|
||||
|
||||
assert function(Matrix([[x, y], [1, x]]), 1, 2) == \
|
||||
Matrix([[2*x + 3, 2*y + 3], [5, 2*x + 3]])
|
||||
|
||||
assert function(Eq(x, y), 1, 2) == Eq(2*x + 3, 2*y + 3)
|
||||
|
||||
assert function([x, y], 1, 2) == [2*x + 3, 2*y + 3]
|
||||
assert function((x, y), 1, 2) == (2*x + 3, 2*y + 3)
|
||||
|
||||
assert function({x, y}, 1, 2) == {2*x + 3, 2*y + 3}
|
||||
|
||||
@threaded
|
||||
def function(expr, n):
|
||||
return expr**n
|
||||
|
||||
assert function(x + y, 2) == x**2 + y**2
|
||||
assert function(x, 2) == x**2
|
||||
|
||||
|
||||
def test_xthreaded():
|
||||
@xthreaded
|
||||
def function(expr, n):
|
||||
return expr**n
|
||||
|
||||
assert function(x + y, 2) == (x + y)**2
|
||||
|
||||
|
||||
def test_wraps():
|
||||
def my_func(x):
|
||||
"""My function. """
|
||||
|
||||
my_func.is_my_func = True
|
||||
|
||||
new_my_func = threaded(my_func)
|
||||
new_my_func = wraps(my_func)(new_my_func)
|
||||
|
||||
assert new_my_func.__name__ == 'my_func'
|
||||
assert new_my_func.__doc__ == 'My function. '
|
||||
assert hasattr(new_my_func, 'is_my_func')
|
||||
assert new_my_func.is_my_func is True
|
||||
|
||||
|
||||
def test_memoize_property():
|
||||
class TestMemoize(Basic):
|
||||
@memoize_property
|
||||
def prop(self):
|
||||
return Basic()
|
||||
|
||||
member = TestMemoize()
|
||||
obj1 = member.prop
|
||||
obj2 = member.prop
|
||||
assert obj1 is obj2
|
||||
|
||||
def test_deprecated():
|
||||
@deprecated('deprecated_function is deprecated',
|
||||
deprecated_since_version='1.10',
|
||||
# This is the target at the top of the file, which will never
|
||||
# go away.
|
||||
active_deprecations_target='active-deprecations')
|
||||
def deprecated_function(x):
|
||||
return x
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert deprecated_function(1) == 1
|
||||
|
||||
@deprecated('deprecated_class is deprecated',
|
||||
deprecated_since_version='1.10',
|
||||
active_deprecations_target='active-deprecations')
|
||||
class deprecated_class:
|
||||
pass
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert isinstance(deprecated_class(), deprecated_class)
|
||||
|
||||
# Ensure the class decorator works even when the class never returns
|
||||
# itself
|
||||
@deprecated('deprecated_class_new is deprecated',
|
||||
deprecated_since_version='1.10',
|
||||
active_deprecations_target='active-deprecations')
|
||||
class deprecated_class_new:
|
||||
def __new__(cls, arg):
|
||||
return arg
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert deprecated_class_new(1) == 1
|
||||
|
||||
@deprecated('deprecated_class_init is deprecated',
|
||||
deprecated_since_version='1.10',
|
||||
active_deprecations_target='active-deprecations')
|
||||
class deprecated_class_init:
|
||||
def __init__(self, arg):
|
||||
self.arg = 1
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert deprecated_class_init(1).arg == 1
|
||||
|
||||
@deprecated('deprecated_class_new_init is deprecated',
|
||||
deprecated_since_version='1.10',
|
||||
active_deprecations_target='active-deprecations')
|
||||
class deprecated_class_new_init:
|
||||
def __new__(cls, arg):
|
||||
if arg == 0:
|
||||
return arg
|
||||
return object.__new__(cls)
|
||||
|
||||
def __init__(self, arg):
|
||||
self.arg = 1
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert deprecated_class_new_init(0) == 0
|
||||
|
||||
with warns_deprecated_sympy():
|
||||
assert deprecated_class_new_init(1).arg == 1
|
||||
@@ -0,0 +1,13 @@
|
||||
from sympy.testing.pytest import warns_deprecated_sympy
|
||||
|
||||
# See https://github.com/sympy/sympy/pull/18095
|
||||
|
||||
def test_deprecated_utilities():
|
||||
with warns_deprecated_sympy():
|
||||
import sympy.utilities.pytest # noqa:F401
|
||||
with warns_deprecated_sympy():
|
||||
import sympy.utilities.runtests # noqa:F401
|
||||
with warns_deprecated_sympy():
|
||||
import sympy.utilities.randtest # noqa:F401
|
||||
with warns_deprecated_sympy():
|
||||
import sympy.utilities.tmpfiles # noqa:F401
|
||||
@@ -0,0 +1,179 @@
|
||||
import string
|
||||
from itertools import zip_longest
|
||||
|
||||
from sympy.utilities.enumerative import (
|
||||
list_visitor,
|
||||
MultisetPartitionTraverser,
|
||||
multiset_partitions_taocp
|
||||
)
|
||||
from sympy.utilities.iterables import _set_partitions
|
||||
|
||||
# first some functions only useful as test scaffolding - these provide
|
||||
# straightforward, but slow reference implementations against which to
|
||||
# compare the real versions, and also a comparison to verify that
|
||||
# different versions are giving identical results.
|
||||
|
||||
def part_range_filter(partition_iterator, lb, ub):
|
||||
"""
|
||||
Filters (on the number of parts) a multiset partition enumeration
|
||||
|
||||
Arguments
|
||||
=========
|
||||
|
||||
lb, and ub are a range (in the Python slice sense) on the lpart
|
||||
variable returned from a multiset partition enumeration. Recall
|
||||
that lpart is 0-based (it points to the topmost part on the part
|
||||
stack), so if you want to return parts of sizes 2,3,4,5 you would
|
||||
use lb=1 and ub=5.
|
||||
"""
|
||||
for state in partition_iterator:
|
||||
f, lpart, pstack = state
|
||||
if lpart >= lb and lpart < ub:
|
||||
yield state
|
||||
|
||||
def multiset_partitions_baseline(multiplicities, components):
|
||||
"""Enumerates partitions of a multiset
|
||||
|
||||
Parameters
|
||||
==========
|
||||
|
||||
multiplicities
|
||||
list of integer multiplicities of the components of the multiset.
|
||||
|
||||
components
|
||||
the components (elements) themselves
|
||||
|
||||
Returns
|
||||
=======
|
||||
|
||||
Set of partitions. Each partition is tuple of parts, and each
|
||||
part is a tuple of components (with repeats to indicate
|
||||
multiplicity)
|
||||
|
||||
Notes
|
||||
=====
|
||||
|
||||
Multiset partitions can be created as equivalence classes of set
|
||||
partitions, and this function does just that. This approach is
|
||||
slow and memory intensive compared to the more advanced algorithms
|
||||
available, but the code is simple and easy to understand. Hence
|
||||
this routine is strictly for testing -- to provide a
|
||||
straightforward baseline against which to regress the production
|
||||
versions. (This code is a simplified version of an earlier
|
||||
production implementation.)
|
||||
"""
|
||||
|
||||
canon = [] # list of components with repeats
|
||||
for ct, elem in zip(multiplicities, components):
|
||||
canon.extend([elem]*ct)
|
||||
|
||||
# accumulate the multiset partitions in a set to eliminate dups
|
||||
cache = set()
|
||||
n = len(canon)
|
||||
for nc, q in _set_partitions(n):
|
||||
rv = [[] for i in range(nc)]
|
||||
for i in range(n):
|
||||
rv[q[i]].append(canon[i])
|
||||
canonical = tuple(
|
||||
sorted([tuple(p) for p in rv]))
|
||||
cache.add(canonical)
|
||||
return cache
|
||||
|
||||
|
||||
def compare_multiset_w_baseline(multiplicities):
|
||||
"""
|
||||
Enumerates the partitions of multiset with AOCP algorithm and
|
||||
baseline implementation, and compare the results.
|
||||
|
||||
"""
|
||||
letters = string.ascii_lowercase
|
||||
bl_partitions = multiset_partitions_baseline(multiplicities, letters)
|
||||
|
||||
# The partitions returned by the different algorithms may have
|
||||
# their parts in different orders. Also, they generate partitions
|
||||
# in different orders. Hence the sorting, and set comparison.
|
||||
|
||||
aocp_partitions = set()
|
||||
for state in multiset_partitions_taocp(multiplicities):
|
||||
p1 = tuple(sorted(
|
||||
[tuple(p) for p in list_visitor(state, letters)]))
|
||||
aocp_partitions.add(p1)
|
||||
|
||||
assert bl_partitions == aocp_partitions
|
||||
|
||||
def compare_multiset_states(s1, s2):
|
||||
"""compare for equality two instances of multiset partition states
|
||||
|
||||
This is useful for comparing different versions of the algorithm
|
||||
to verify correctness."""
|
||||
# Comparison is physical, the only use of semantics is to ignore
|
||||
# trash off the top of the stack.
|
||||
f1, lpart1, pstack1 = s1
|
||||
f2, lpart2, pstack2 = s2
|
||||
|
||||
if (lpart1 == lpart2) and (f1[0:lpart1+1] == f2[0:lpart2+1]):
|
||||
if pstack1[0:f1[lpart1+1]] == pstack2[0:f2[lpart2+1]]:
|
||||
return True
|
||||
return False
|
||||
|
||||
def test_multiset_partitions_taocp():
|
||||
"""Compares the output of multiset_partitions_taocp with a baseline
|
||||
(set partition based) implementation."""
|
||||
|
||||
# Test cases should not be too large, since the baseline
|
||||
# implementation is fairly slow.
|
||||
multiplicities = [2,2]
|
||||
compare_multiset_w_baseline(multiplicities)
|
||||
|
||||
multiplicities = [4,3,1]
|
||||
compare_multiset_w_baseline(multiplicities)
|
||||
|
||||
def test_multiset_partitions_versions():
|
||||
"""Compares Knuth-based versions of multiset_partitions"""
|
||||
multiplicities = [5,2,2,1]
|
||||
m = MultisetPartitionTraverser()
|
||||
for s1, s2 in zip_longest(m.enum_all(multiplicities),
|
||||
multiset_partitions_taocp(multiplicities)):
|
||||
assert compare_multiset_states(s1, s2)
|
||||
|
||||
def subrange_exercise(mult, lb, ub):
|
||||
"""Compare filter-based and more optimized subrange implementations
|
||||
|
||||
Helper for tests, called with both small and larger multisets.
|
||||
"""
|
||||
m = MultisetPartitionTraverser()
|
||||
assert m.count_partitions(mult) == \
|
||||
m.count_partitions_slow(mult)
|
||||
|
||||
# Note - multiple traversals from the same
|
||||
# MultisetPartitionTraverser object cannot execute at the same
|
||||
# time, hence make several instances here.
|
||||
ma = MultisetPartitionTraverser()
|
||||
mc = MultisetPartitionTraverser()
|
||||
md = MultisetPartitionTraverser()
|
||||
|
||||
# Several paths to compute just the size two partitions
|
||||
a_it = ma.enum_range(mult, lb, ub)
|
||||
b_it = part_range_filter(multiset_partitions_taocp(mult), lb, ub)
|
||||
c_it = part_range_filter(mc.enum_small(mult, ub), lb, sum(mult))
|
||||
d_it = part_range_filter(md.enum_large(mult, lb), 0, ub)
|
||||
|
||||
for sa, sb, sc, sd in zip_longest(a_it, b_it, c_it, d_it):
|
||||
assert compare_multiset_states(sa, sb)
|
||||
assert compare_multiset_states(sa, sc)
|
||||
assert compare_multiset_states(sa, sd)
|
||||
|
||||
def test_subrange():
|
||||
# Quick, but doesn't hit some of the corner cases
|
||||
mult = [4,4,2,1] # mississippi
|
||||
lb = 1
|
||||
ub = 2
|
||||
subrange_exercise(mult, lb, ub)
|
||||
|
||||
|
||||
def test_subrange_large():
|
||||
# takes a second or so, depending on cpu, Python version, etc.
|
||||
mult = [6,3,2,1]
|
||||
lb = 4
|
||||
ub = 7
|
||||
subrange_exercise(mult, lb, ub)
|
||||
@@ -0,0 +1,12 @@
|
||||
from sympy.testing.pytest import raises
|
||||
from sympy.utilities.exceptions import sympy_deprecation_warning
|
||||
|
||||
# Only test exceptions here because the other cases are tested in the
|
||||
# warns_deprecated_sympy tests
|
||||
def test_sympy_deprecation_warning():
|
||||
raises(TypeError, lambda: sympy_deprecation_warning('test',
|
||||
deprecated_since_version=1.10,
|
||||
active_deprecations_target='active-deprecations'))
|
||||
|
||||
raises(ValueError, lambda: sympy_deprecation_warning('test',
|
||||
deprecated_since_version="1.10", active_deprecations_target='(active-deprecations)='))
|
||||
@@ -0,0 +1,945 @@
|
||||
from textwrap import dedent
|
||||
from itertools import islice, product
|
||||
|
||||
from sympy.core.basic import Basic
|
||||
from sympy.core.numbers import Integer
|
||||
from sympy.core.sorting import ordered
|
||||
from sympy.core.symbol import (Dummy, symbols)
|
||||
from sympy.functions.combinatorial.factorials import factorial
|
||||
from sympy.matrices.dense import Matrix
|
||||
from sympy.combinatorics import RGS_enum, RGS_unrank, Permutation
|
||||
from sympy.utilities.iterables import (
|
||||
_partition, _set_partitions, binary_partitions, bracelets, capture,
|
||||
cartes, common_prefix, common_suffix, connected_components, dict_merge,
|
||||
filter_symbols, flatten, generate_bell, generate_derangements,
|
||||
generate_involutions, generate_oriented_forest, group, has_dups, ibin,
|
||||
iproduct, kbins, minlex, multiset, multiset_combinations,
|
||||
multiset_partitions, multiset_permutations, necklaces, numbered_symbols,
|
||||
partitions, permutations, postfixes,
|
||||
prefixes, reshape, rotate_left, rotate_right, runs, sift,
|
||||
strongly_connected_components, subsets, take, topological_sort, unflatten,
|
||||
uniq, variations, ordered_partitions, rotations, is_palindromic, iterable,
|
||||
NotIterable, multiset_derangements, signed_permutations,
|
||||
sequence_partitions, sequence_partitions_empty)
|
||||
from sympy.utilities.enumerative import (
|
||||
factoring_visitor, multiset_partitions_taocp )
|
||||
|
||||
from sympy.core.singleton import S
|
||||
from sympy.testing.pytest import raises, warns_deprecated_sympy
|
||||
|
||||
w, x, y, z = symbols('w,x,y,z')
|
||||
|
||||
|
||||
def test_deprecated_iterables():
|
||||
from sympy.utilities.iterables import default_sort_key, ordered
|
||||
with warns_deprecated_sympy():
|
||||
assert list(ordered([y, x])) == [x, y]
|
||||
with warns_deprecated_sympy():
|
||||
assert sorted([y, x], key=default_sort_key) == [x, y]
|
||||
|
||||
|
||||
def test_is_palindromic():
|
||||
assert is_palindromic('')
|
||||
assert is_palindromic('x')
|
||||
assert is_palindromic('xx')
|
||||
assert is_palindromic('xyx')
|
||||
assert not is_palindromic('xy')
|
||||
assert not is_palindromic('xyzx')
|
||||
assert is_palindromic('xxyzzyx', 1)
|
||||
assert not is_palindromic('xxyzzyx', 2)
|
||||
assert is_palindromic('xxyzzyx', 2, -1)
|
||||
assert is_palindromic('xxyzzyx', 2, 6)
|
||||
assert is_palindromic('xxyzyx', 1)
|
||||
assert not is_palindromic('xxyzyx', 2)
|
||||
assert is_palindromic('xxyzyx', 2, 2 + 3)
|
||||
|
||||
|
||||
def test_flatten():
|
||||
assert flatten((1, (1,))) == [1, 1]
|
||||
assert flatten((x, (x,))) == [x, x]
|
||||
|
||||
ls = [[(-2, -1), (1, 2)], [(0, 0)]]
|
||||
|
||||
assert flatten(ls, levels=0) == ls
|
||||
assert flatten(ls, levels=1) == [(-2, -1), (1, 2), (0, 0)]
|
||||
assert flatten(ls, levels=2) == [-2, -1, 1, 2, 0, 0]
|
||||
assert flatten(ls, levels=3) == [-2, -1, 1, 2, 0, 0]
|
||||
|
||||
raises(ValueError, lambda: flatten(ls, levels=-1))
|
||||
|
||||
class MyOp(Basic):
|
||||
pass
|
||||
|
||||
assert flatten([MyOp(x, y), z]) == [MyOp(x, y), z]
|
||||
assert flatten([MyOp(x, y), z], cls=MyOp) == [x, y, z]
|
||||
|
||||
assert flatten({1, 11, 2}) == list({1, 11, 2})
|
||||
|
||||
|
||||
def test_iproduct():
|
||||
assert list(iproduct()) == [()]
|
||||
assert list(iproduct([])) == []
|
||||
assert list(iproduct([1,2,3])) == [(1,),(2,),(3,)]
|
||||
assert sorted(iproduct([1, 2], [3, 4, 5])) == [
|
||||
(1,3),(1,4),(1,5),(2,3),(2,4),(2,5)]
|
||||
assert sorted(iproduct([0,1],[0,1],[0,1])) == [
|
||||
(0,0,0),(0,0,1),(0,1,0),(0,1,1),(1,0,0),(1,0,1),(1,1,0),(1,1,1)]
|
||||
assert iterable(iproduct(S.Integers)) is True
|
||||
assert iterable(iproduct(S.Integers, S.Integers)) is True
|
||||
assert (3,) in iproduct(S.Integers)
|
||||
assert (4, 5) in iproduct(S.Integers, S.Integers)
|
||||
assert (1, 2, 3) in iproduct(S.Integers, S.Integers, S.Integers)
|
||||
triples = set(islice(iproduct(S.Integers, S.Integers, S.Integers), 1000))
|
||||
for n1, n2, n3 in triples:
|
||||
assert isinstance(n1, Integer)
|
||||
assert isinstance(n2, Integer)
|
||||
assert isinstance(n3, Integer)
|
||||
for t in set(product(*([range(-2, 3)]*3))):
|
||||
assert t in iproduct(S.Integers, S.Integers, S.Integers)
|
||||
|
||||
|
||||
def test_group():
|
||||
assert group([]) == []
|
||||
assert group([], multiple=False) == []
|
||||
|
||||
assert group([1]) == [[1]]
|
||||
assert group([1], multiple=False) == [(1, 1)]
|
||||
|
||||
assert group([1, 1]) == [[1, 1]]
|
||||
assert group([1, 1], multiple=False) == [(1, 2)]
|
||||
|
||||
assert group([1, 1, 1]) == [[1, 1, 1]]
|
||||
assert group([1, 1, 1], multiple=False) == [(1, 3)]
|
||||
|
||||
assert group([1, 2, 1]) == [[1], [2], [1]]
|
||||
assert group([1, 2, 1], multiple=False) == [(1, 1), (2, 1), (1, 1)]
|
||||
|
||||
assert group([1, 1, 2, 2, 2, 1, 3, 3]) == [[1, 1], [2, 2, 2], [1], [3, 3]]
|
||||
assert group([1, 1, 2, 2, 2, 1, 3, 3], multiple=False) == [(1, 2),
|
||||
(2, 3), (1, 1), (3, 2)]
|
||||
|
||||
|
||||
def test_subsets():
|
||||
# combinations
|
||||
assert list(subsets([1, 2, 3], 0)) == [()]
|
||||
assert list(subsets([1, 2, 3], 1)) == [(1,), (2,), (3,)]
|
||||
assert list(subsets([1, 2, 3], 2)) == [(1, 2), (1, 3), (2, 3)]
|
||||
assert list(subsets([1, 2, 3], 3)) == [(1, 2, 3)]
|
||||
l = list(range(4))
|
||||
assert list(subsets(l, 0, repetition=True)) == [()]
|
||||
assert list(subsets(l, 1, repetition=True)) == [(0,), (1,), (2,), (3,)]
|
||||
assert list(subsets(l, 2, repetition=True)) == [(0, 0), (0, 1), (0, 2),
|
||||
(0, 3), (1, 1), (1, 2),
|
||||
(1, 3), (2, 2), (2, 3),
|
||||
(3, 3)]
|
||||
assert list(subsets(l, 3, repetition=True)) == [(0, 0, 0), (0, 0, 1),
|
||||
(0, 0, 2), (0, 0, 3),
|
||||
(0, 1, 1), (0, 1, 2),
|
||||
(0, 1, 3), (0, 2, 2),
|
||||
(0, 2, 3), (0, 3, 3),
|
||||
(1, 1, 1), (1, 1, 2),
|
||||
(1, 1, 3), (1, 2, 2),
|
||||
(1, 2, 3), (1, 3, 3),
|
||||
(2, 2, 2), (2, 2, 3),
|
||||
(2, 3, 3), (3, 3, 3)]
|
||||
assert len(list(subsets(l, 4, repetition=True))) == 35
|
||||
|
||||
assert list(subsets(l[:2], 3, repetition=False)) == []
|
||||
assert list(subsets(l[:2], 3, repetition=True)) == [(0, 0, 0),
|
||||
(0, 0, 1),
|
||||
(0, 1, 1),
|
||||
(1, 1, 1)]
|
||||
assert list(subsets([1, 2], repetition=True)) == \
|
||||
[(), (1,), (2,), (1, 1), (1, 2), (2, 2)]
|
||||
assert list(subsets([1, 2], repetition=False)) == \
|
||||
[(), (1,), (2,), (1, 2)]
|
||||
assert list(subsets([1, 2, 3], 2)) == \
|
||||
[(1, 2), (1, 3), (2, 3)]
|
||||
assert list(subsets([1, 2, 3], 2, repetition=True)) == \
|
||||
[(1, 1), (1, 2), (1, 3), (2, 2), (2, 3), (3, 3)]
|
||||
|
||||
|
||||
def test_variations():
|
||||
# permutations
|
||||
l = list(range(4))
|
||||
assert list(variations(l, 0, repetition=False)) == [()]
|
||||
assert list(variations(l, 1, repetition=False)) == [(0,), (1,), (2,), (3,)]
|
||||
assert list(variations(l, 2, repetition=False)) == [(0, 1), (0, 2), (0, 3), (1, 0), (1, 2), (1, 3), (2, 0), (2, 1), (2, 3), (3, 0), (3, 1), (3, 2)]
|
||||
assert list(variations(l, 3, repetition=False)) == [(0, 1, 2), (0, 1, 3), (0, 2, 1), (0, 2, 3), (0, 3, 1), (0, 3, 2), (1, 0, 2), (1, 0, 3), (1, 2, 0), (1, 2, 3), (1, 3, 0), (1, 3, 2), (2, 0, 1), (2, 0, 3), (2, 1, 0), (2, 1, 3), (2, 3, 0), (2, 3, 1), (3, 0, 1), (3, 0, 2), (3, 1, 0), (3, 1, 2), (3, 2, 0), (3, 2, 1)]
|
||||
assert list(variations(l, 0, repetition=True)) == [()]
|
||||
assert list(variations(l, 1, repetition=True)) == [(0,), (1,), (2,), (3,)]
|
||||
assert list(variations(l, 2, repetition=True)) == [(0, 0), (0, 1), (0, 2),
|
||||
(0, 3), (1, 0), (1, 1),
|
||||
(1, 2), (1, 3), (2, 0),
|
||||
(2, 1), (2, 2), (2, 3),
|
||||
(3, 0), (3, 1), (3, 2),
|
||||
(3, 3)]
|
||||
assert len(list(variations(l, 3, repetition=True))) == 64
|
||||
assert len(list(variations(l, 4, repetition=True))) == 256
|
||||
assert list(variations(l[:2], 3, repetition=False)) == []
|
||||
assert list(variations(l[:2], 3, repetition=True)) == [
|
||||
(0, 0, 0), (0, 0, 1), (0, 1, 0), (0, 1, 1),
|
||||
(1, 0, 0), (1, 0, 1), (1, 1, 0), (1, 1, 1)
|
||||
]
|
||||
|
||||
|
||||
def test_cartes():
|
||||
assert list(cartes([1, 2], [3, 4, 5])) == \
|
||||
[(1, 3), (1, 4), (1, 5), (2, 3), (2, 4), (2, 5)]
|
||||
assert list(cartes()) == [()]
|
||||
assert list(cartes('a')) == [('a',)]
|
||||
assert list(cartes('a', repeat=2)) == [('a', 'a')]
|
||||
assert list(cartes(list(range(2)))) == [(0,), (1,)]
|
||||
|
||||
|
||||
def test_filter_symbols():
|
||||
s = numbered_symbols()
|
||||
filtered = filter_symbols(s, symbols("x0 x2 x3"))
|
||||
assert take(filtered, 3) == list(symbols("x1 x4 x5"))
|
||||
|
||||
|
||||
def test_numbered_symbols():
|
||||
s = numbered_symbols(cls=Dummy)
|
||||
assert isinstance(next(s), Dummy)
|
||||
assert next(numbered_symbols('C', start=1, exclude=[symbols('C1')])) == \
|
||||
symbols('C2')
|
||||
|
||||
|
||||
def test_sift():
|
||||
assert sift(list(range(5)), lambda _: _ % 2) == {1: [1, 3], 0: [0, 2, 4]}
|
||||
assert sift([x, y], lambda _: _.has(x)) == {False: [y], True: [x]}
|
||||
assert sift([S.One], lambda _: _.has(x)) == {False: [1]}
|
||||
assert sift([0, 1, 2, 3], lambda x: x % 2, binary=True) == (
|
||||
[1, 3], [0, 2])
|
||||
assert sift([0, 1, 2, 3], lambda x: x % 3 == 1, binary=True) == (
|
||||
[1], [0, 2, 3])
|
||||
raises(ValueError, lambda:
|
||||
sift([0, 1, 2, 3], lambda x: x % 3, binary=True))
|
||||
|
||||
|
||||
def test_take():
|
||||
X = numbered_symbols()
|
||||
|
||||
assert take(X, 5) == list(symbols('x0:5'))
|
||||
assert take(X, 5) == list(symbols('x5:10'))
|
||||
|
||||
assert take([1, 2, 3, 4, 5], 5) == [1, 2, 3, 4, 5]
|
||||
|
||||
|
||||
def test_dict_merge():
|
||||
assert dict_merge({}, {1: x, y: z}) == {1: x, y: z}
|
||||
assert dict_merge({1: x, y: z}, {}) == {1: x, y: z}
|
||||
|
||||
assert dict_merge({2: z}, {1: x, y: z}) == {1: x, 2: z, y: z}
|
||||
assert dict_merge({1: x, y: z}, {2: z}) == {1: x, 2: z, y: z}
|
||||
|
||||
assert dict_merge({1: y, 2: z}, {1: x, y: z}) == {1: x, 2: z, y: z}
|
||||
assert dict_merge({1: x, y: z}, {1: y, 2: z}) == {1: y, 2: z, y: z}
|
||||
|
||||
|
||||
def test_prefixes():
|
||||
assert list(prefixes([])) == []
|
||||
assert list(prefixes([1])) == [[1]]
|
||||
assert list(prefixes([1, 2])) == [[1], [1, 2]]
|
||||
|
||||
assert list(prefixes([1, 2, 3, 4, 5])) == \
|
||||
[[1], [1, 2], [1, 2, 3], [1, 2, 3, 4], [1, 2, 3, 4, 5]]
|
||||
|
||||
|
||||
def test_postfixes():
|
||||
assert list(postfixes([])) == []
|
||||
assert list(postfixes([1])) == [[1]]
|
||||
assert list(postfixes([1, 2])) == [[2], [1, 2]]
|
||||
|
||||
assert list(postfixes([1, 2, 3, 4, 5])) == \
|
||||
[[5], [4, 5], [3, 4, 5], [2, 3, 4, 5], [1, 2, 3, 4, 5]]
|
||||
|
||||
|
||||
def test_topological_sort():
|
||||
V = [2, 3, 5, 7, 8, 9, 10, 11]
|
||||
E = [(7, 11), (7, 8), (5, 11),
|
||||
(3, 8), (3, 10), (11, 2),
|
||||
(11, 9), (11, 10), (8, 9)]
|
||||
|
||||
assert topological_sort((V, E)) == [3, 5, 7, 8, 11, 2, 9, 10]
|
||||
assert topological_sort((V, E), key=lambda v: -v) == \
|
||||
[7, 5, 11, 3, 10, 8, 9, 2]
|
||||
|
||||
raises(ValueError, lambda: topological_sort((V, E + [(10, 7)])))
|
||||
|
||||
|
||||
def test_strongly_connected_components():
|
||||
assert strongly_connected_components(([], [])) == []
|
||||
assert strongly_connected_components(([1, 2, 3], [])) == [[1], [2], [3]]
|
||||
|
||||
V = [1, 2, 3]
|
||||
E = [(1, 2), (1, 3), (2, 1), (2, 3), (3, 1)]
|
||||
assert strongly_connected_components((V, E)) == [[1, 2, 3]]
|
||||
|
||||
V = [1, 2, 3, 4]
|
||||
E = [(1, 2), (2, 3), (3, 2), (3, 4)]
|
||||
assert strongly_connected_components((V, E)) == [[4], [2, 3], [1]]
|
||||
|
||||
V = [1, 2, 3, 4]
|
||||
E = [(1, 2), (2, 1), (3, 4), (4, 3)]
|
||||
assert strongly_connected_components((V, E)) == [[1, 2], [3, 4]]
|
||||
|
||||
|
||||
def test_connected_components():
|
||||
assert connected_components(([], [])) == []
|
||||
assert connected_components(([1, 2, 3], [])) == [[1], [2], [3]]
|
||||
|
||||
V = [1, 2, 3]
|
||||
E = [(1, 2), (1, 3), (2, 1), (2, 3), (3, 1)]
|
||||
assert connected_components((V, E)) == [[1, 2, 3]]
|
||||
|
||||
V = [1, 2, 3, 4]
|
||||
E = [(1, 2), (2, 3), (3, 2), (3, 4)]
|
||||
assert connected_components((V, E)) == [[1, 2, 3, 4]]
|
||||
|
||||
V = [1, 2, 3, 4]
|
||||
E = [(1, 2), (3, 4)]
|
||||
assert connected_components((V, E)) == [[1, 2], [3, 4]]
|
||||
|
||||
|
||||
def test_rotate():
|
||||
A = [0, 1, 2, 3, 4]
|
||||
|
||||
assert rotate_left(A, 2) == [2, 3, 4, 0, 1]
|
||||
assert rotate_right(A, 1) == [4, 0, 1, 2, 3]
|
||||
A = []
|
||||
B = rotate_right(A, 1)
|
||||
assert B == []
|
||||
B.append(1)
|
||||
assert A == []
|
||||
B = rotate_left(A, 1)
|
||||
assert B == []
|
||||
B.append(1)
|
||||
assert A == []
|
||||
|
||||
|
||||
def test_multiset_partitions():
|
||||
A = [0, 1, 2, 3, 4]
|
||||
|
||||
assert list(multiset_partitions(A, 5)) == [[[0], [1], [2], [3], [4]]]
|
||||
assert len(list(multiset_partitions(A, 4))) == 10
|
||||
assert len(list(multiset_partitions(A, 3))) == 25
|
||||
|
||||
assert list(multiset_partitions([1, 1, 1, 2, 2], 2)) == [
|
||||
[[1, 1, 1, 2], [2]], [[1, 1, 1], [2, 2]], [[1, 1, 2, 2], [1]],
|
||||
[[1, 1, 2], [1, 2]], [[1, 1], [1, 2, 2]]]
|
||||
|
||||
assert list(multiset_partitions([1, 1, 2, 2], 2)) == [
|
||||
[[1, 1, 2], [2]], [[1, 1], [2, 2]], [[1, 2, 2], [1]],
|
||||
[[1, 2], [1, 2]]]
|
||||
|
||||
assert list(multiset_partitions([1, 2, 3, 4], 2)) == [
|
||||
[[1, 2, 3], [4]], [[1, 2, 4], [3]], [[1, 2], [3, 4]],
|
||||
[[1, 3, 4], [2]], [[1, 3], [2, 4]], [[1, 4], [2, 3]],
|
||||
[[1], [2, 3, 4]]]
|
||||
|
||||
assert list(multiset_partitions([1, 2, 2], 2)) == [
|
||||
[[1, 2], [2]], [[1], [2, 2]]]
|
||||
|
||||
assert list(multiset_partitions(3)) == [
|
||||
[[0, 1, 2]], [[0, 1], [2]], [[0, 2], [1]], [[0], [1, 2]],
|
||||
[[0], [1], [2]]]
|
||||
assert list(multiset_partitions(3, 2)) == [
|
||||
[[0, 1], [2]], [[0, 2], [1]], [[0], [1, 2]]]
|
||||
assert list(multiset_partitions([1] * 3, 2)) == [[[1], [1, 1]]]
|
||||
assert list(multiset_partitions([1] * 3)) == [
|
||||
[[1, 1, 1]], [[1], [1, 1]], [[1], [1], [1]]]
|
||||
a = [3, 2, 1]
|
||||
assert list(multiset_partitions(a)) == \
|
||||
list(multiset_partitions(sorted(a)))
|
||||
assert list(multiset_partitions(a, 5)) == []
|
||||
assert list(multiset_partitions(a, 1)) == [[[1, 2, 3]]]
|
||||
assert list(multiset_partitions(a + [4], 5)) == []
|
||||
assert list(multiset_partitions(a + [4], 1)) == [[[1, 2, 3, 4]]]
|
||||
assert list(multiset_partitions(2, 5)) == []
|
||||
assert list(multiset_partitions(2, 1)) == [[[0, 1]]]
|
||||
assert list(multiset_partitions('a')) == [[['a']]]
|
||||
assert list(multiset_partitions('a', 2)) == []
|
||||
assert list(multiset_partitions('ab')) == [[['a', 'b']], [['a'], ['b']]]
|
||||
assert list(multiset_partitions('ab', 1)) == [[['a', 'b']]]
|
||||
assert list(multiset_partitions('aaa', 1)) == [['aaa']]
|
||||
assert list(multiset_partitions([1, 1], 1)) == [[[1, 1]]]
|
||||
ans = [('mpsyy',), ('mpsy', 'y'), ('mps', 'yy'), ('mps', 'y', 'y'),
|
||||
('mpyy', 's'), ('mpy', 'sy'), ('mpy', 's', 'y'), ('mp', 'syy'),
|
||||
('mp', 'sy', 'y'), ('mp', 's', 'yy'), ('mp', 's', 'y', 'y'),
|
||||
('msyy', 'p'), ('msy', 'py'), ('msy', 'p', 'y'), ('ms', 'pyy'),
|
||||
('ms', 'py', 'y'), ('ms', 'p', 'yy'), ('ms', 'p', 'y', 'y'),
|
||||
('myy', 'ps'), ('myy', 'p', 's'), ('my', 'psy'), ('my', 'ps', 'y'),
|
||||
('my', 'py', 's'), ('my', 'p', 'sy'), ('my', 'p', 's', 'y'),
|
||||
('m', 'psyy'), ('m', 'psy', 'y'), ('m', 'ps', 'yy'),
|
||||
('m', 'ps', 'y', 'y'), ('m', 'pyy', 's'), ('m', 'py', 'sy'),
|
||||
('m', 'py', 's', 'y'), ('m', 'p', 'syy'),
|
||||
('m', 'p', 'sy', 'y'), ('m', 'p', 's', 'yy'),
|
||||
('m', 'p', 's', 'y', 'y')]
|
||||
assert [tuple("".join(part) for part in p)
|
||||
for p in multiset_partitions('sympy')] == ans
|
||||
factorings = [[24], [8, 3], [12, 2], [4, 6], [4, 2, 3],
|
||||
[6, 2, 2], [2, 2, 2, 3]]
|
||||
assert [factoring_visitor(p, [2,3]) for
|
||||
p in multiset_partitions_taocp([3, 1])] == factorings
|
||||
|
||||
|
||||
def test_multiset_combinations():
|
||||
ans = ['iii', 'iim', 'iip', 'iis', 'imp', 'ims', 'ipp', 'ips',
|
||||
'iss', 'mpp', 'mps', 'mss', 'pps', 'pss', 'sss']
|
||||
assert [''.join(i) for i in
|
||||
list(multiset_combinations('mississippi', 3))] == ans
|
||||
M = multiset('mississippi')
|
||||
assert [''.join(i) for i in
|
||||
list(multiset_combinations(M, 3))] == ans
|
||||
assert [''.join(i) for i in multiset_combinations(M, 30)] == []
|
||||
assert list(multiset_combinations([[1], [2, 3]], 2)) == [[[1], [2, 3]]]
|
||||
assert len(list(multiset_combinations('a', 3))) == 0
|
||||
assert len(list(multiset_combinations('a', 0))) == 1
|
||||
assert list(multiset_combinations('abc', 1)) == [['a'], ['b'], ['c']]
|
||||
raises(ValueError, lambda: list(multiset_combinations({0: 3, 1: -1}, 2)))
|
||||
|
||||
|
||||
def test_multiset_permutations():
|
||||
ans = ['abby', 'abyb', 'aybb', 'baby', 'bayb', 'bbay', 'bbya', 'byab',
|
||||
'byba', 'yabb', 'ybab', 'ybba']
|
||||
assert [''.join(i) for i in multiset_permutations('baby')] == ans
|
||||
assert [''.join(i) for i in multiset_permutations(multiset('baby'))] == ans
|
||||
assert list(multiset_permutations([0, 0, 0], 2)) == [[0, 0]]
|
||||
assert list(multiset_permutations([0, 2, 1], 2)) == [
|
||||
[0, 1], [0, 2], [1, 0], [1, 2], [2, 0], [2, 1]]
|
||||
assert len(list(multiset_permutations('a', 0))) == 1
|
||||
assert len(list(multiset_permutations('a', 3))) == 0
|
||||
for nul in ([], {}, ''):
|
||||
assert list(multiset_permutations(nul)) == [[]]
|
||||
assert list(multiset_permutations(nul, 0)) == [[]]
|
||||
# impossible requests give no result
|
||||
assert list(multiset_permutations(nul, 1)) == []
|
||||
assert list(multiset_permutations(nul, -1)) == []
|
||||
|
||||
def test():
|
||||
for i in range(1, 7):
|
||||
print(i)
|
||||
for p in multiset_permutations([0, 0, 1, 0, 1], i):
|
||||
print(p)
|
||||
assert capture(lambda: test()) == dedent('''\
|
||||
1
|
||||
[0]
|
||||
[1]
|
||||
2
|
||||
[0, 0]
|
||||
[0, 1]
|
||||
[1, 0]
|
||||
[1, 1]
|
||||
3
|
||||
[0, 0, 0]
|
||||
[0, 0, 1]
|
||||
[0, 1, 0]
|
||||
[0, 1, 1]
|
||||
[1, 0, 0]
|
||||
[1, 0, 1]
|
||||
[1, 1, 0]
|
||||
4
|
||||
[0, 0, 0, 1]
|
||||
[0, 0, 1, 0]
|
||||
[0, 0, 1, 1]
|
||||
[0, 1, 0, 0]
|
||||
[0, 1, 0, 1]
|
||||
[0, 1, 1, 0]
|
||||
[1, 0, 0, 0]
|
||||
[1, 0, 0, 1]
|
||||
[1, 0, 1, 0]
|
||||
[1, 1, 0, 0]
|
||||
5
|
||||
[0, 0, 0, 1, 1]
|
||||
[0, 0, 1, 0, 1]
|
||||
[0, 0, 1, 1, 0]
|
||||
[0, 1, 0, 0, 1]
|
||||
[0, 1, 0, 1, 0]
|
||||
[0, 1, 1, 0, 0]
|
||||
[1, 0, 0, 0, 1]
|
||||
[1, 0, 0, 1, 0]
|
||||
[1, 0, 1, 0, 0]
|
||||
[1, 1, 0, 0, 0]
|
||||
6\n''')
|
||||
raises(ValueError, lambda: list(multiset_permutations({0: 3, 1: -1})))
|
||||
|
||||
|
||||
def test_partitions():
|
||||
ans = [[{}], [(0, {})]]
|
||||
for i in range(2):
|
||||
assert list(partitions(0, size=i)) == ans[i]
|
||||
assert list(partitions(1, 0, size=i)) == ans[i]
|
||||
assert list(partitions(6, 2, 2, size=i)) == ans[i]
|
||||
assert list(partitions(6, 2, None, size=i)) != ans[i]
|
||||
assert list(partitions(6, None, 2, size=i)) != ans[i]
|
||||
assert list(partitions(6, 2, 0, size=i)) == ans[i]
|
||||
|
||||
assert list(partitions(6, k=2)) == [
|
||||
{2: 3}, {1: 2, 2: 2}, {1: 4, 2: 1}, {1: 6}]
|
||||
|
||||
assert list(partitions(6, k=3)) == [
|
||||
{3: 2}, {1: 1, 2: 1, 3: 1}, {1: 3, 3: 1}, {2: 3}, {1: 2, 2: 2},
|
||||
{1: 4, 2: 1}, {1: 6}]
|
||||
|
||||
assert list(partitions(8, k=4, m=3)) == [
|
||||
{4: 2}, {1: 1, 3: 1, 4: 1}, {2: 2, 4: 1}, {2: 1, 3: 2}] == [
|
||||
i for i in partitions(8, k=4, m=3) if all(k <= 4 for k in i)
|
||||
and sum(i.values()) <=3]
|
||||
|
||||
assert list(partitions(S(3), m=2)) == [
|
||||
{3: 1}, {1: 1, 2: 1}]
|
||||
|
||||
assert list(partitions(4, k=3)) == [
|
||||
{1: 1, 3: 1}, {2: 2}, {1: 2, 2: 1}, {1: 4}] == [
|
||||
i for i in partitions(4) if all(k <= 3 for k in i)]
|
||||
|
||||
|
||||
# Consistency check on output of _partitions and RGS_unrank.
|
||||
# This provides a sanity test on both routines. Also verifies that
|
||||
# the total number of partitions is the same in each case.
|
||||
# (from pkrathmann2)
|
||||
|
||||
for n in range(2, 6):
|
||||
i = 0
|
||||
for m, q in _set_partitions(n):
|
||||
assert q == RGS_unrank(i, n)
|
||||
i += 1
|
||||
assert i == RGS_enum(n)
|
||||
|
||||
|
||||
def test_binary_partitions():
|
||||
assert [i[:] for i in binary_partitions(10)] == [[8, 2], [8, 1, 1],
|
||||
[4, 4, 2], [4, 4, 1, 1], [4, 2, 2, 2], [4, 2, 2, 1, 1],
|
||||
[4, 2, 1, 1, 1, 1], [4, 1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2],
|
||||
[2, 2, 2, 2, 1, 1], [2, 2, 2, 1, 1, 1, 1], [2, 2, 1, 1, 1, 1, 1, 1],
|
||||
[2, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
|
||||
|
||||
assert len([j[:] for j in binary_partitions(16)]) == 36
|
||||
|
||||
|
||||
def test_bell_perm():
|
||||
assert [len(set(generate_bell(i))) for i in range(1, 7)] == [
|
||||
factorial(i) for i in range(1, 7)]
|
||||
assert list(generate_bell(3)) == [
|
||||
(0, 1, 2), (0, 2, 1), (2, 0, 1), (2, 1, 0), (1, 2, 0), (1, 0, 2)]
|
||||
# generate_bell and trotterjohnson are advertised to return the same
|
||||
# permutations; this is not technically necessary so this test could
|
||||
# be removed
|
||||
for n in range(1, 5):
|
||||
p = Permutation(range(n))
|
||||
b = generate_bell(n)
|
||||
for bi in b:
|
||||
assert bi == tuple(p.array_form)
|
||||
p = p.next_trotterjohnson()
|
||||
raises(ValueError, lambda: list(generate_bell(0))) # XXX is this consistent with other permutation algorithms?
|
||||
|
||||
|
||||
def test_involutions():
|
||||
lengths = [1, 2, 4, 10, 26, 76]
|
||||
for n, N in enumerate(lengths):
|
||||
i = list(generate_involutions(n + 1))
|
||||
assert len(i) == N
|
||||
assert len({Permutation(j)**2 for j in i}) == 1
|
||||
|
||||
|
||||
def test_derangements():
|
||||
assert len(list(generate_derangements(list(range(6))))) == 265
|
||||
assert ''.join(''.join(i) for i in generate_derangements('abcde')) == (
|
||||
'badecbaecdbcaedbcdeabceadbdaecbdeacbdecabeacdbedacbedcacabedcadebcaebd'
|
||||
'cdaebcdbeacdeabcdebaceabdcebadcedabcedbadabecdaebcdaecbdcaebdcbeadceab'
|
||||
'dcebadeabcdeacbdebacdebcaeabcdeadbceadcbecabdecbadecdabecdbaedabcedacb'
|
||||
'edbacedbca')
|
||||
assert list(generate_derangements([0, 1, 2, 3])) == [
|
||||
[1, 0, 3, 2], [1, 2, 3, 0], [1, 3, 0, 2], [2, 0, 3, 1],
|
||||
[2, 3, 0, 1], [2, 3, 1, 0], [3, 0, 1, 2], [3, 2, 0, 1], [3, 2, 1, 0]]
|
||||
assert list(generate_derangements([0, 1, 2, 2])) == [
|
||||
[2, 2, 0, 1], [2, 2, 1, 0]]
|
||||
assert list(generate_derangements('ba')) == [list('ab')]
|
||||
# multiset_derangements
|
||||
D = multiset_derangements
|
||||
assert list(D('abb')) == []
|
||||
assert [''.join(i) for i in D('ab')] == ['ba']
|
||||
assert [''.join(i) for i in D('abc')] == ['bca', 'cab']
|
||||
assert [''.join(i) for i in D('aabb')] == ['bbaa']
|
||||
assert [''.join(i) for i in D('aabbcccc')] == [
|
||||
'ccccaabb', 'ccccabab', 'ccccabba', 'ccccbaab', 'ccccbaba',
|
||||
'ccccbbaa']
|
||||
assert [''.join(i) for i in D('aabbccc')] == [
|
||||
'cccabba', 'cccabab', 'cccaabb', 'ccacbba', 'ccacbab',
|
||||
'ccacabb', 'cbccbaa', 'cbccaba', 'cbccaab', 'bcccbaa',
|
||||
'bcccaba', 'bcccaab']
|
||||
assert [''.join(i) for i in D('books')] == ['kbsoo', 'ksboo',
|
||||
'sbkoo', 'skboo', 'oksbo', 'oskbo', 'okbso', 'obkso', 'oskob',
|
||||
'oksob', 'osbok', 'obsok']
|
||||
assert list(generate_derangements([[3], [2], [2], [1]])) == [
|
||||
[[2], [1], [3], [2]], [[2], [3], [1], [2]]]
|
||||
|
||||
|
||||
def test_necklaces():
|
||||
def count(n, k, f):
|
||||
return len(list(necklaces(n, k, f)))
|
||||
m = []
|
||||
for i in range(1, 8):
|
||||
m.append((
|
||||
i, count(i, 2, 0), count(i, 2, 1), count(i, 3, 1)))
|
||||
assert Matrix(m) == Matrix([
|
||||
[1, 2, 2, 3],
|
||||
[2, 3, 3, 6],
|
||||
[3, 4, 4, 10],
|
||||
[4, 6, 6, 21],
|
||||
[5, 8, 8, 39],
|
||||
[6, 14, 13, 92],
|
||||
[7, 20, 18, 198]])
|
||||
|
||||
|
||||
def test_bracelets():
|
||||
bc = list(bracelets(2, 4))
|
||||
assert Matrix(bc) == Matrix([
|
||||
[0, 0],
|
||||
[0, 1],
|
||||
[0, 2],
|
||||
[0, 3],
|
||||
[1, 1],
|
||||
[1, 2],
|
||||
[1, 3],
|
||||
[2, 2],
|
||||
[2, 3],
|
||||
[3, 3]
|
||||
])
|
||||
bc = list(bracelets(4, 2))
|
||||
assert Matrix(bc) == Matrix([
|
||||
[0, 0, 0, 0],
|
||||
[0, 0, 0, 1],
|
||||
[0, 0, 1, 1],
|
||||
[0, 1, 0, 1],
|
||||
[0, 1, 1, 1],
|
||||
[1, 1, 1, 1]
|
||||
])
|
||||
|
||||
|
||||
def test_generate_oriented_forest():
|
||||
assert list(generate_oriented_forest(5)) == [[0, 1, 2, 3, 4],
|
||||
[0, 1, 2, 3, 3], [0, 1, 2, 3, 2], [0, 1, 2, 3, 1], [0, 1, 2, 3, 0],
|
||||
[0, 1, 2, 2, 2], [0, 1, 2, 2, 1], [0, 1, 2, 2, 0], [0, 1, 2, 1, 2],
|
||||
[0, 1, 2, 1, 1], [0, 1, 2, 1, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 0],
|
||||
[0, 1, 1, 1, 1], [0, 1, 1, 1, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 0],
|
||||
[0, 1, 0, 1, 0], [0, 1, 0, 0, 0], [0, 0, 0, 0, 0]]
|
||||
assert len(list(generate_oriented_forest(10))) == 1842
|
||||
|
||||
|
||||
def test_unflatten():
|
||||
r = list(range(10))
|
||||
assert unflatten(r) == list(zip(r[::2], r[1::2]))
|
||||
assert unflatten(r, 5) == [tuple(r[:5]), tuple(r[5:])]
|
||||
raises(ValueError, lambda: unflatten(list(range(10)), 3))
|
||||
raises(ValueError, lambda: unflatten(list(range(10)), -2))
|
||||
|
||||
|
||||
def test_common_prefix_suffix():
|
||||
assert common_prefix([], [1]) == []
|
||||
assert common_prefix(list(range(3))) == [0, 1, 2]
|
||||
assert common_prefix(list(range(3)), list(range(4))) == [0, 1, 2]
|
||||
assert common_prefix([1, 2, 3], [1, 2, 5]) == [1, 2]
|
||||
assert common_prefix([1, 2, 3], [1, 3, 5]) == [1]
|
||||
|
||||
assert common_suffix([], [1]) == []
|
||||
assert common_suffix(list(range(3))) == [0, 1, 2]
|
||||
assert common_suffix(list(range(3)), list(range(3))) == [0, 1, 2]
|
||||
assert common_suffix(list(range(3)), list(range(4))) == []
|
||||
assert common_suffix([1, 2, 3], [9, 2, 3]) == [2, 3]
|
||||
assert common_suffix([1, 2, 3], [9, 7, 3]) == [3]
|
||||
|
||||
|
||||
def test_minlex():
|
||||
assert minlex([1, 2, 0]) == (0, 1, 2)
|
||||
assert minlex((1, 2, 0)) == (0, 1, 2)
|
||||
assert minlex((1, 0, 2)) == (0, 2, 1)
|
||||
assert minlex((1, 0, 2), directed=False) == (0, 1, 2)
|
||||
assert minlex('aba') == 'aab'
|
||||
assert minlex(('bb', 'aaa', 'c', 'a'), key=len) == ('c', 'a', 'bb', 'aaa')
|
||||
|
||||
|
||||
def test_ordered():
|
||||
assert list(ordered((x, y), hash, default=False)) in [[x, y], [y, x]]
|
||||
assert list(ordered((x, y), hash, default=False)) == \
|
||||
list(ordered((y, x), hash, default=False))
|
||||
assert list(ordered((x, y))) == [x, y]
|
||||
|
||||
seq, keys = [[[1, 2, 1], [0, 3, 1], [1, 1, 3], [2], [1]],
|
||||
(lambda x: len(x), lambda x: sum(x))]
|
||||
assert list(ordered(seq, keys, default=False, warn=False)) == \
|
||||
[[1], [2], [1, 2, 1], [0, 3, 1], [1, 1, 3]]
|
||||
raises(ValueError, lambda:
|
||||
list(ordered(seq, keys, default=False, warn=True)))
|
||||
|
||||
|
||||
def test_runs():
|
||||
assert runs([]) == []
|
||||
assert runs([1]) == [[1]]
|
||||
assert runs([1, 1]) == [[1], [1]]
|
||||
assert runs([1, 1, 2]) == [[1], [1, 2]]
|
||||
assert runs([1, 2, 1]) == [[1, 2], [1]]
|
||||
assert runs([2, 1, 1]) == [[2], [1], [1]]
|
||||
from operator import lt
|
||||
assert runs([2, 1, 1], lt) == [[2, 1], [1]]
|
||||
|
||||
|
||||
def test_reshape():
|
||||
seq = list(range(1, 9))
|
||||
assert reshape(seq, [4]) == \
|
||||
[[1, 2, 3, 4], [5, 6, 7, 8]]
|
||||
assert reshape(seq, (4,)) == \
|
||||
[(1, 2, 3, 4), (5, 6, 7, 8)]
|
||||
assert reshape(seq, (2, 2)) == \
|
||||
[(1, 2, 3, 4), (5, 6, 7, 8)]
|
||||
assert reshape(seq, (2, [2])) == \
|
||||
[(1, 2, [3, 4]), (5, 6, [7, 8])]
|
||||
assert reshape(seq, ((2,), [2])) == \
|
||||
[((1, 2), [3, 4]), ((5, 6), [7, 8])]
|
||||
assert reshape(seq, (1, [2], 1)) == \
|
||||
[(1, [2, 3], 4), (5, [6, 7], 8)]
|
||||
assert reshape(tuple(seq), ([[1], 1, (2,)],)) == \
|
||||
(([[1], 2, (3, 4)],), ([[5], 6, (7, 8)],))
|
||||
assert reshape(tuple(seq), ([1], 1, (2,))) == \
|
||||
(([1], 2, (3, 4)), ([5], 6, (7, 8)))
|
||||
assert reshape(list(range(12)), [2, [3], {2}, (1, (3,), 1)]) == \
|
||||
[[0, 1, [2, 3, 4], {5, 6}, (7, (8, 9, 10), 11)]]
|
||||
raises(ValueError, lambda: reshape([0, 1], [-1]))
|
||||
raises(ValueError, lambda: reshape([0, 1], [3]))
|
||||
|
||||
|
||||
def test_uniq():
|
||||
assert list(uniq(p for p in partitions(4))) == \
|
||||
[{4: 1}, {1: 1, 3: 1}, {2: 2}, {1: 2, 2: 1}, {1: 4}]
|
||||
assert list(uniq(x % 2 for x in range(5))) == [0, 1]
|
||||
assert list(uniq('a')) == ['a']
|
||||
assert list(uniq('ababc')) == list('abc')
|
||||
assert list(uniq([[1], [2, 1], [1]])) == [[1], [2, 1]]
|
||||
assert list(uniq(permutations(i for i in [[1], 2, 2]))) == \
|
||||
[([1], 2, 2), (2, [1], 2), (2, 2, [1])]
|
||||
assert list(uniq([2, 3, 2, 4, [2], [1], [2], [3], [1]])) == \
|
||||
[2, 3, 4, [2], [1], [3]]
|
||||
f = [1]
|
||||
raises(RuntimeError, lambda: [f.remove(i) for i in uniq(f)])
|
||||
f = [[1]]
|
||||
raises(RuntimeError, lambda: [f.remove(i) for i in uniq(f)])
|
||||
|
||||
|
||||
def test_kbins():
|
||||
assert len(list(kbins('1123', 2, ordered=1))) == 24
|
||||
assert len(list(kbins('1123', 2, ordered=11))) == 36
|
||||
assert len(list(kbins('1123', 2, ordered=10))) == 10
|
||||
assert len(list(kbins('1123', 2, ordered=0))) == 5
|
||||
assert len(list(kbins('1123', 2, ordered=None))) == 3
|
||||
|
||||
def test1():
|
||||
for orderedval in [None, 0, 1, 10, 11]:
|
||||
print('ordered =', orderedval)
|
||||
for p in kbins([0, 0, 1], 2, ordered=orderedval):
|
||||
print(' ', p)
|
||||
assert capture(lambda : test1()) == dedent('''\
|
||||
ordered = None
|
||||
[[0], [0, 1]]
|
||||
[[0, 0], [1]]
|
||||
ordered = 0
|
||||
[[0, 0], [1]]
|
||||
[[0, 1], [0]]
|
||||
ordered = 1
|
||||
[[0], [0, 1]]
|
||||
[[0], [1, 0]]
|
||||
[[1], [0, 0]]
|
||||
ordered = 10
|
||||
[[0, 0], [1]]
|
||||
[[1], [0, 0]]
|
||||
[[0, 1], [0]]
|
||||
[[0], [0, 1]]
|
||||
ordered = 11
|
||||
[[0], [0, 1]]
|
||||
[[0, 0], [1]]
|
||||
[[0], [1, 0]]
|
||||
[[0, 1], [0]]
|
||||
[[1], [0, 0]]
|
||||
[[1, 0], [0]]\n''')
|
||||
|
||||
def test2():
|
||||
for orderedval in [None, 0, 1, 10, 11]:
|
||||
print('ordered =', orderedval)
|
||||
for p in kbins(list(range(3)), 2, ordered=orderedval):
|
||||
print(' ', p)
|
||||
assert capture(lambda : test2()) == dedent('''\
|
||||
ordered = None
|
||||
[[0], [1, 2]]
|
||||
[[0, 1], [2]]
|
||||
ordered = 0
|
||||
[[0, 1], [2]]
|
||||
[[0, 2], [1]]
|
||||
[[0], [1, 2]]
|
||||
ordered = 1
|
||||
[[0], [1, 2]]
|
||||
[[0], [2, 1]]
|
||||
[[1], [0, 2]]
|
||||
[[1], [2, 0]]
|
||||
[[2], [0, 1]]
|
||||
[[2], [1, 0]]
|
||||
ordered = 10
|
||||
[[0, 1], [2]]
|
||||
[[2], [0, 1]]
|
||||
[[0, 2], [1]]
|
||||
[[1], [0, 2]]
|
||||
[[0], [1, 2]]
|
||||
[[1, 2], [0]]
|
||||
ordered = 11
|
||||
[[0], [1, 2]]
|
||||
[[0, 1], [2]]
|
||||
[[0], [2, 1]]
|
||||
[[0, 2], [1]]
|
||||
[[1], [0, 2]]
|
||||
[[1, 0], [2]]
|
||||
[[1], [2, 0]]
|
||||
[[1, 2], [0]]
|
||||
[[2], [0, 1]]
|
||||
[[2, 0], [1]]
|
||||
[[2], [1, 0]]
|
||||
[[2, 1], [0]]\n''')
|
||||
|
||||
|
||||
def test_has_dups():
|
||||
assert has_dups(set()) is False
|
||||
assert has_dups(list(range(3))) is False
|
||||
assert has_dups([1, 2, 1]) is True
|
||||
assert has_dups([[1], [1]]) is True
|
||||
assert has_dups([[1], [2]]) is False
|
||||
|
||||
|
||||
def test__partition():
|
||||
assert _partition('abcde', [1, 0, 1, 2, 0]) == [
|
||||
['b', 'e'], ['a', 'c'], ['d']]
|
||||
assert _partition('abcde', [1, 0, 1, 2, 0], 3) == [
|
||||
['b', 'e'], ['a', 'c'], ['d']]
|
||||
output = (3, [1, 0, 1, 2, 0])
|
||||
assert _partition('abcde', *output) == [['b', 'e'], ['a', 'c'], ['d']]
|
||||
|
||||
|
||||
def test_ordered_partitions():
|
||||
from sympy.functions.combinatorial.numbers import nT
|
||||
f = ordered_partitions
|
||||
assert list(f(0, 1)) == [[]]
|
||||
assert list(f(1, 0)) == [[]]
|
||||
for i in range(1, 7):
|
||||
for j in [None] + list(range(1, i)):
|
||||
assert (
|
||||
sum(1 for p in f(i, j, 1)) ==
|
||||
sum(1 for p in f(i, j, 0)) ==
|
||||
nT(i, j))
|
||||
|
||||
|
||||
def test_rotations():
|
||||
assert list(rotations('ab')) == [['a', 'b'], ['b', 'a']]
|
||||
assert list(rotations(range(3))) == [[0, 1, 2], [1, 2, 0], [2, 0, 1]]
|
||||
assert list(rotations(range(3), dir=-1)) == [[0, 1, 2], [2, 0, 1], [1, 2, 0]]
|
||||
|
||||
|
||||
def test_ibin():
|
||||
assert ibin(3) == [1, 1]
|
||||
assert ibin(3, 3) == [0, 1, 1]
|
||||
assert ibin(3, str=True) == '11'
|
||||
assert ibin(3, 3, str=True) == '011'
|
||||
assert list(ibin(2, 'all')) == [(0, 0), (0, 1), (1, 0), (1, 1)]
|
||||
assert list(ibin(2, '', str=True)) == ['00', '01', '10', '11']
|
||||
raises(ValueError, lambda: ibin(-.5))
|
||||
raises(ValueError, lambda: ibin(2, 1))
|
||||
|
||||
|
||||
def test_iterable():
|
||||
assert iterable(0) is False
|
||||
assert iterable(1) is False
|
||||
assert iterable(None) is False
|
||||
|
||||
class Test1(NotIterable):
|
||||
pass
|
||||
|
||||
assert iterable(Test1()) is False
|
||||
|
||||
class Test2(NotIterable):
|
||||
_iterable = True
|
||||
|
||||
assert iterable(Test2()) is True
|
||||
|
||||
class Test3:
|
||||
pass
|
||||
|
||||
assert iterable(Test3()) is False
|
||||
|
||||
class Test4:
|
||||
_iterable = True
|
||||
|
||||
assert iterable(Test4()) is True
|
||||
|
||||
class Test5:
|
||||
def __iter__(self):
|
||||
yield 1
|
||||
|
||||
assert iterable(Test5()) is True
|
||||
|
||||
class Test6(Test5):
|
||||
_iterable = False
|
||||
|
||||
assert iterable(Test6()) is False
|
||||
|
||||
|
||||
def test_sequence_partitions():
|
||||
assert list(sequence_partitions([1], 1)) == [[[1]]]
|
||||
assert list(sequence_partitions([1, 2], 1)) == [[[1, 2]]]
|
||||
assert list(sequence_partitions([1, 2], 2)) == [[[1], [2]]]
|
||||
assert list(sequence_partitions([1, 2, 3], 1)) == [[[1, 2, 3]]]
|
||||
assert list(sequence_partitions([1, 2, 3], 2)) == \
|
||||
[[[1], [2, 3]], [[1, 2], [3]]]
|
||||
assert list(sequence_partitions([1, 2, 3], 3)) == [[[1], [2], [3]]]
|
||||
|
||||
# Exceptional cases
|
||||
assert list(sequence_partitions([], 0)) == []
|
||||
assert list(sequence_partitions([], 1)) == []
|
||||
assert list(sequence_partitions([1, 2], 0)) == []
|
||||
assert list(sequence_partitions([1, 2], 3)) == []
|
||||
|
||||
|
||||
def test_sequence_partitions_empty():
|
||||
assert list(sequence_partitions_empty([], 1)) == [[[]]]
|
||||
assert list(sequence_partitions_empty([], 2)) == [[[], []]]
|
||||
assert list(sequence_partitions_empty([], 3)) == [[[], [], []]]
|
||||
assert list(sequence_partitions_empty([1], 1)) == [[[1]]]
|
||||
assert list(sequence_partitions_empty([1], 2)) == [[[], [1]], [[1], []]]
|
||||
assert list(sequence_partitions_empty([1], 3)) == \
|
||||
[[[], [], [1]], [[], [1], []], [[1], [], []]]
|
||||
assert list(sequence_partitions_empty([1, 2], 1)) == [[[1, 2]]]
|
||||
assert list(sequence_partitions_empty([1, 2], 2)) == \
|
||||
[[[], [1, 2]], [[1], [2]], [[1, 2], []]]
|
||||
assert list(sequence_partitions_empty([1, 2], 3)) == [
|
||||
[[], [], [1, 2]], [[], [1], [2]], [[], [1, 2], []],
|
||||
[[1], [], [2]], [[1], [2], []], [[1, 2], [], []]
|
||||
]
|
||||
assert list(sequence_partitions_empty([1, 2, 3], 1)) == [[[1, 2, 3]]]
|
||||
assert list(sequence_partitions_empty([1, 2, 3], 2)) == \
|
||||
[[[], [1, 2, 3]], [[1], [2, 3]], [[1, 2], [3]], [[1, 2, 3], []]]
|
||||
assert list(sequence_partitions_empty([1, 2, 3], 3)) == [
|
||||
[[], [], [1, 2, 3]], [[], [1], [2, 3]],
|
||||
[[], [1, 2], [3]], [[], [1, 2, 3], []],
|
||||
[[1], [], [2, 3]], [[1], [2], [3]],
|
||||
[[1], [2, 3], []], [[1, 2], [], [3]],
|
||||
[[1, 2], [3], []], [[1, 2, 3], [], []]
|
||||
]
|
||||
|
||||
# Exceptional cases
|
||||
assert list(sequence_partitions([], 0)) == []
|
||||
assert list(sequence_partitions([1], 0)) == []
|
||||
assert list(sequence_partitions([1, 2], 0)) == []
|
||||
|
||||
|
||||
def test_signed_permutations():
|
||||
ans = [(0, 1, 1), (0, -1, 1), (0, 1, -1), (0, -1, -1),
|
||||
(1, 0, 1), (-1, 0, 1), (1, 0, -1), (-1, 0, -1),
|
||||
(1, 1, 0), (-1, 1, 0), (1, -1, 0), (-1, -1, 0)]
|
||||
assert list(signed_permutations((0, 1, 1))) == ans
|
||||
assert list(signed_permutations((1, 0, 1))) == ans
|
||||
assert list(signed_permutations((1, 1, 0))) == ans
|
||||
File diff suppressed because it is too large
Load Diff
+164
@@ -0,0 +1,164 @@
|
||||
import pickle
|
||||
|
||||
from sympy.core.relational import (Eq, Ne)
|
||||
from sympy.core.singleton import S
|
||||
from sympy.core.symbol import symbols
|
||||
from sympy.functions.elementary.miscellaneous import sqrt
|
||||
from sympy.functions.elementary.trigonometric import (cos, sin)
|
||||
from sympy.external import import_module
|
||||
from sympy.testing.pytest import skip
|
||||
from sympy.utilities.matchpy_connector import WildDot, WildPlus, WildStar, Replacer
|
||||
|
||||
matchpy = import_module("matchpy")
|
||||
|
||||
x, y, z = symbols("x y z")
|
||||
|
||||
|
||||
def _get_first_match(expr, pattern):
|
||||
from matchpy import ManyToOneMatcher, Pattern
|
||||
|
||||
matcher = ManyToOneMatcher()
|
||||
matcher.add(Pattern(pattern))
|
||||
return next(iter(matcher.match(expr)))
|
||||
|
||||
|
||||
def test_matchpy_connector():
|
||||
if matchpy is None:
|
||||
skip("matchpy not installed")
|
||||
|
||||
from multiset import Multiset
|
||||
from matchpy import Pattern, Substitution
|
||||
|
||||
w_ = WildDot("w_")
|
||||
w__ = WildPlus("w__")
|
||||
w___ = WildStar("w___")
|
||||
|
||||
expr = x + y
|
||||
pattern = x + w_
|
||||
p, subst = _get_first_match(expr, pattern)
|
||||
assert p == Pattern(pattern)
|
||||
assert subst == Substitution({'w_': y})
|
||||
|
||||
expr = x + y + z
|
||||
pattern = x + w__
|
||||
p, subst = _get_first_match(expr, pattern)
|
||||
assert p == Pattern(pattern)
|
||||
assert subst == Substitution({'w__': Multiset([y, z])})
|
||||
|
||||
expr = x + y + z
|
||||
pattern = x + y + z + w___
|
||||
p, subst = _get_first_match(expr, pattern)
|
||||
assert p == Pattern(pattern)
|
||||
assert subst == Substitution({'w___': Multiset()})
|
||||
|
||||
|
||||
def test_matchpy_optional():
|
||||
if matchpy is None:
|
||||
skip("matchpy not installed")
|
||||
|
||||
from matchpy import Pattern, Substitution
|
||||
from matchpy import ManyToOneReplacer, ReplacementRule
|
||||
|
||||
p = WildDot("p", optional=1)
|
||||
q = WildDot("q", optional=0)
|
||||
|
||||
pattern = p*x + q
|
||||
|
||||
expr1 = 2*x
|
||||
pa, subst = _get_first_match(expr1, pattern)
|
||||
assert pa == Pattern(pattern)
|
||||
assert subst == Substitution({'p': 2, 'q': 0})
|
||||
|
||||
expr2 = x + 3
|
||||
pa, subst = _get_first_match(expr2, pattern)
|
||||
assert pa == Pattern(pattern)
|
||||
assert subst == Substitution({'p': 1, 'q': 3})
|
||||
|
||||
expr3 = x
|
||||
pa, subst = _get_first_match(expr3, pattern)
|
||||
assert pa == Pattern(pattern)
|
||||
assert subst == Substitution({'p': 1, 'q': 0})
|
||||
|
||||
expr4 = x*y + z
|
||||
pa, subst = _get_first_match(expr4, pattern)
|
||||
assert pa == Pattern(pattern)
|
||||
assert subst == Substitution({'p': y, 'q': z})
|
||||
|
||||
replacer = ManyToOneReplacer()
|
||||
replacer.add(ReplacementRule(Pattern(pattern), lambda p, q: sin(p)*cos(q)))
|
||||
assert replacer.replace(expr1) == sin(2)*cos(0)
|
||||
assert replacer.replace(expr2) == sin(1)*cos(3)
|
||||
assert replacer.replace(expr3) == sin(1)*cos(0)
|
||||
assert replacer.replace(expr4) == sin(y)*cos(z)
|
||||
|
||||
|
||||
def test_replacer():
|
||||
if matchpy is None:
|
||||
skip("matchpy not installed")
|
||||
|
||||
for info in [True, False]:
|
||||
for lambdify in [True, False]:
|
||||
_perform_test_replacer(info, lambdify)
|
||||
|
||||
|
||||
def _perform_test_replacer(info, lambdify):
|
||||
|
||||
x1_ = WildDot("x1_")
|
||||
x2_ = WildDot("x2_")
|
||||
|
||||
a_ = WildDot("a_", optional=S.One)
|
||||
b_ = WildDot("b_", optional=S.One)
|
||||
c_ = WildDot("c_", optional=S.Zero)
|
||||
|
||||
replacer = Replacer(common_constraints=[
|
||||
matchpy.CustomConstraint(lambda a_: not a_.has(x)),
|
||||
matchpy.CustomConstraint(lambda b_: not b_.has(x)),
|
||||
matchpy.CustomConstraint(lambda c_: not c_.has(x)),
|
||||
], lambdify=lambdify, info=info)
|
||||
|
||||
# Rewrite the equation into implicit form, unless it's already solved:
|
||||
replacer.add(Eq(x1_, x2_), Eq(x1_ - x2_, 0), conditions_nonfalse=[Ne(x2_, 0), Ne(x1_, 0), Ne(x1_, x), Ne(x2_, x)], info=1)
|
||||
|
||||
# Simple equation solver for real numbers:
|
||||
replacer.add(Eq(a_*x + b_, 0), Eq(x, -b_/a_), info=2)
|
||||
disc = b_**2 - 4*a_*c_
|
||||
replacer.add(
|
||||
Eq(a_*x**2 + b_*x + c_, 0),
|
||||
Eq(x, (-b_ - sqrt(disc))/(2*a_)) | Eq(x, (-b_ + sqrt(disc))/(2*a_)),
|
||||
conditions_nonfalse=[disc >= 0],
|
||||
info=3
|
||||
)
|
||||
replacer.add(
|
||||
Eq(a_*x**2 + c_, 0),
|
||||
Eq(x, sqrt(-c_/a_)) | Eq(x, -sqrt(-c_/a_)),
|
||||
conditions_nonfalse=[-c_*a_ > 0],
|
||||
info=4
|
||||
)
|
||||
|
||||
g = lambda expr, infos: (expr, infos) if info else expr
|
||||
|
||||
assert replacer.replace(Eq(3*x, y)) == g(Eq(x, y/3), [1, 2])
|
||||
assert replacer.replace(Eq(x**2 + 1, 0)) == g(Eq(x**2 + 1, 0), [])
|
||||
assert replacer.replace(Eq(x**2, 4)) == g((Eq(x, 2) | Eq(x, -2)), [1, 4])
|
||||
assert replacer.replace(Eq(x**2 + 4*y*x + 4*y**2, 0)) == g(Eq(x, -2*y), [3])
|
||||
|
||||
|
||||
def test_matchpy_object_pickle():
|
||||
if matchpy is None:
|
||||
return
|
||||
|
||||
a1 = WildDot("a")
|
||||
a2 = pickle.loads(pickle.dumps(a1))
|
||||
assert a1 == a2
|
||||
|
||||
a1 = WildDot("a", S(1))
|
||||
a2 = pickle.loads(pickle.dumps(a1))
|
||||
assert a1 == a2
|
||||
|
||||
a1 = WildPlus("a", S(1))
|
||||
a2 = pickle.loads(pickle.dumps(a1))
|
||||
assert a1 == a2
|
||||
|
||||
a1 = WildStar("a", S(1))
|
||||
a2 = pickle.loads(pickle.dumps(a1))
|
||||
assert a1 == a2
|
||||
@@ -0,0 +1,33 @@
|
||||
import os
|
||||
from textwrap import dedent
|
||||
from sympy.external import import_module
|
||||
from sympy.testing.pytest import skip
|
||||
from sympy.utilities.mathml import apply_xsl
|
||||
|
||||
|
||||
|
||||
lxml = import_module('lxml')
|
||||
|
||||
path = os.path.abspath(os.path.join(os.path.dirname(__file__), "test_xxe.py"))
|
||||
|
||||
|
||||
def test_xxe():
|
||||
assert os.path.isfile(path)
|
||||
if not lxml:
|
||||
skip("lxml not installed.")
|
||||
|
||||
mml = dedent(
|
||||
rf"""
|
||||
<!--?xml version="1.0" ?-->
|
||||
<!DOCTYPE replace [<!ENTITY ent SYSTEM "file://{path}"> ]>
|
||||
<userInfo>
|
||||
<firstName>John</firstName>
|
||||
<lastName>&ent;</lastName>
|
||||
</userInfo>
|
||||
"""
|
||||
)
|
||||
xsl = 'mathml/data/simple_mmlctop.xsl'
|
||||
|
||||
res = apply_xsl(mml, xsl)
|
||||
assert res == \
|
||||
'<?xml version="1.0"?>\n<userInfo>\n<firstName>John</firstName>\n<lastName/>\n</userInfo>\n'
|
||||
@@ -0,0 +1,148 @@
|
||||
from textwrap import dedent
|
||||
import sys
|
||||
from subprocess import Popen, PIPE
|
||||
import os
|
||||
|
||||
from sympy.core.singleton import S
|
||||
from sympy.testing.pytest import (raises, warns_deprecated_sympy,
|
||||
skip_under_pyodide)
|
||||
from sympy.utilities.misc import (translate, replace, ordinal, rawlines,
|
||||
strlines, as_int, find_executable)
|
||||
|
||||
|
||||
def test_translate():
|
||||
abc = 'abc'
|
||||
assert translate(abc, None, 'a') == 'bc'
|
||||
assert translate(abc, None, '') == 'abc'
|
||||
assert translate(abc, {'a': 'x'}, 'c') == 'xb'
|
||||
assert translate(abc, {'a': 'bc'}, 'c') == 'bcb'
|
||||
assert translate(abc, {'ab': 'x'}, 'c') == 'x'
|
||||
assert translate(abc, {'ab': ''}, 'c') == ''
|
||||
assert translate(abc, {'bc': 'x'}, 'c') == 'ab'
|
||||
assert translate(abc, {'abc': 'x', 'a': 'y'}) == 'x'
|
||||
u = chr(4096)
|
||||
assert translate(abc, 'a', 'x', u) == 'xbc'
|
||||
assert (u in translate(abc, 'a', u, u)) is True
|
||||
|
||||
|
||||
def test_replace():
|
||||
assert replace('abc', ('a', 'b')) == 'bbc'
|
||||
assert replace('abc', {'a': 'Aa'}) == 'Aabc'
|
||||
assert replace('abc', ('a', 'b'), ('c', 'C')) == 'bbC'
|
||||
|
||||
|
||||
def test_ordinal():
|
||||
assert ordinal(-1) == '-1st'
|
||||
assert ordinal(0) == '0th'
|
||||
assert ordinal(1) == '1st'
|
||||
assert ordinal(2) == '2nd'
|
||||
assert ordinal(3) == '3rd'
|
||||
assert all(ordinal(i).endswith('th') for i in range(4, 21))
|
||||
assert ordinal(100) == '100th'
|
||||
assert ordinal(101) == '101st'
|
||||
assert ordinal(102) == '102nd'
|
||||
assert ordinal(103) == '103rd'
|
||||
assert ordinal(104) == '104th'
|
||||
assert ordinal(200) == '200th'
|
||||
assert all(ordinal(i) == str(i) + 'th' for i in range(-220, -203))
|
||||
|
||||
|
||||
def test_rawlines():
|
||||
assert rawlines('a a\na') == "dedent('''\\\n a a\n a''')"
|
||||
assert rawlines('a a') == "'a a'"
|
||||
assert rawlines(strlines('\\le"ft')) == (
|
||||
'(\n'
|
||||
" '(\\n'\n"
|
||||
' \'r\\\'\\\\le"ft\\\'\\n\'\n'
|
||||
" ')'\n"
|
||||
')')
|
||||
|
||||
|
||||
def test_strlines():
|
||||
q = 'this quote (") is in the middle'
|
||||
# the following assert rhs was prepared with
|
||||
# print(rawlines(strlines(q, 10)))
|
||||
assert strlines(q, 10) == dedent('''\
|
||||
(
|
||||
'this quo'
|
||||
'te (") i'
|
||||
's in the'
|
||||
' middle'
|
||||
)''')
|
||||
assert q == (
|
||||
'this quo'
|
||||
'te (") i'
|
||||
's in the'
|
||||
' middle'
|
||||
)
|
||||
q = "this quote (') is in the middle"
|
||||
assert strlines(q, 20) == dedent('''\
|
||||
(
|
||||
"this quote (') is "
|
||||
"in the middle"
|
||||
)''')
|
||||
assert strlines('\\left') == (
|
||||
'(\n'
|
||||
"r'\\left'\n"
|
||||
')')
|
||||
assert strlines('\\left', short=True) == r"r'\left'"
|
||||
assert strlines('\\le"ft') == (
|
||||
'(\n'
|
||||
'r\'\\le"ft\'\n'
|
||||
')')
|
||||
q = 'this\nother line'
|
||||
assert strlines(q) == rawlines(q)
|
||||
|
||||
|
||||
def test_translate_args():
|
||||
try:
|
||||
translate(None, None, None, 'not_none')
|
||||
except ValueError:
|
||||
pass # Exception raised successfully
|
||||
else:
|
||||
assert False
|
||||
|
||||
assert translate('s', None, None, None) == 's'
|
||||
|
||||
try:
|
||||
translate('s', 'a', 'bc')
|
||||
except ValueError:
|
||||
pass # Exception raised successfully
|
||||
else:
|
||||
assert False
|
||||
|
||||
|
||||
@skip_under_pyodide("Cannot create subprocess under pyodide.")
|
||||
def test_debug_output():
|
||||
env = os.environ.copy()
|
||||
env['SYMPY_DEBUG'] = 'True'
|
||||
cmd = 'from sympy import *; x = Symbol("x"); print(integrate((1-cos(x))/x, x))'
|
||||
cmdline = [sys.executable, '-c', cmd]
|
||||
proc = Popen(cmdline, env=env, stdout=PIPE, stderr=PIPE)
|
||||
out, err = proc.communicate()
|
||||
out = out.decode('ascii') # utf-8?
|
||||
err = err.decode('ascii')
|
||||
expected = 'substituted: -x*(1 - cos(x)), u: 1/x, u_var: _u'
|
||||
assert expected in err, err
|
||||
|
||||
|
||||
def test_as_int():
|
||||
raises(ValueError, lambda : as_int(True))
|
||||
raises(ValueError, lambda : as_int(1.1))
|
||||
raises(ValueError, lambda : as_int([]))
|
||||
raises(ValueError, lambda : as_int(S.NaN))
|
||||
raises(ValueError, lambda : as_int(S.Infinity))
|
||||
raises(ValueError, lambda : as_int(S.NegativeInfinity))
|
||||
raises(ValueError, lambda : as_int(S.ComplexInfinity))
|
||||
# for the following, limited precision makes int(arg) == arg
|
||||
# but the int value is not necessarily what a user might have
|
||||
# expected; Q.prime is more nuanced in its response for
|
||||
# expressions which might be complex representations of an
|
||||
# integer. This is not -- by design -- as_ints role.
|
||||
raises(ValueError, lambda : as_int(1e23))
|
||||
raises(ValueError, lambda : as_int(S('1.'+'0'*20+'1')))
|
||||
assert as_int(True, strict=False) == 1
|
||||
|
||||
def test_deprecated_find_executable():
|
||||
with warns_deprecated_sympy():
|
||||
find_executable('python')
|
||||
@@ -0,0 +1,723 @@
|
||||
import inspect
|
||||
import copy
|
||||
import pickle
|
||||
|
||||
from sympy.physics.units import meter
|
||||
|
||||
from sympy.testing.pytest import XFAIL, raises, ignore_warnings
|
||||
|
||||
from sympy.core.basic import Atom, Basic
|
||||
from sympy.core.singleton import SingletonRegistry
|
||||
from sympy.core.symbol import Str, Dummy, Symbol, Wild
|
||||
from sympy.core.numbers import (E, I, pi, oo, zoo, nan, Integer,
|
||||
Rational, Float, AlgebraicNumber)
|
||||
from sympy.core.relational import (Equality, GreaterThan, LessThan, Relational,
|
||||
StrictGreaterThan, StrictLessThan, Unequality)
|
||||
from sympy.core.add import Add
|
||||
from sympy.core.mul import Mul
|
||||
from sympy.core.power import Pow
|
||||
from sympy.core.function import Derivative, Function, FunctionClass, Lambda, \
|
||||
WildFunction
|
||||
from sympy.sets.sets import Interval
|
||||
from sympy.core.multidimensional import vectorize
|
||||
|
||||
from sympy.external.gmpy import gmpy as _gmpy
|
||||
from sympy.utilities.exceptions import SymPyDeprecationWarning
|
||||
|
||||
from sympy.core.singleton import S
|
||||
from sympy.core.symbol import symbols
|
||||
|
||||
from sympy.external import import_module
|
||||
cloudpickle = import_module('cloudpickle')
|
||||
|
||||
|
||||
not_equal_attrs = {
|
||||
'_assumptions', # This is a local cache that isn't automatically filled on creation
|
||||
'_mhash', # Cached after __hash__ is called but set to None after creation
|
||||
}
|
||||
|
||||
|
||||
deprecated_attrs = {
|
||||
'is_EmptySet', # Deprecated from SymPy 1.5. This can be removed when is_EmptySet is removed.
|
||||
'expr_free_symbols', # Deprecated from SymPy 1.9. This can be removed when exr_free_symbols is removed.
|
||||
}
|
||||
|
||||
dont_check_attrs = {
|
||||
'_sage_', # Fails because Sage is not installed
|
||||
}
|
||||
|
||||
|
||||
def check(a, exclude=[], check_attr=True, deprecated=()):
|
||||
""" Check that pickling and copying round-trips.
|
||||
"""
|
||||
# Pickling with protocols 0 and 1 is disabled for Basic instances:
|
||||
if isinstance(a, Basic):
|
||||
for protocol in [0, 1]:
|
||||
raises(NotImplementedError, lambda: pickle.dumps(a, protocol))
|
||||
|
||||
protocols = [2, copy.copy, copy.deepcopy, 3, 4]
|
||||
if cloudpickle:
|
||||
protocols.extend([cloudpickle])
|
||||
|
||||
for protocol in protocols:
|
||||
if protocol in exclude:
|
||||
continue
|
||||
|
||||
if callable(protocol):
|
||||
if isinstance(a, type):
|
||||
# Classes can't be copied, but that's okay.
|
||||
continue
|
||||
b = protocol(a)
|
||||
elif inspect.ismodule(protocol):
|
||||
b = protocol.loads(protocol.dumps(a))
|
||||
else:
|
||||
b = pickle.loads(pickle.dumps(a, protocol))
|
||||
|
||||
d1 = dir(a)
|
||||
d2 = dir(b)
|
||||
assert set(d1) == set(d2)
|
||||
|
||||
if not check_attr:
|
||||
continue
|
||||
|
||||
def c(a, b, d):
|
||||
for i in d:
|
||||
if i in dont_check_attrs:
|
||||
continue
|
||||
elif i in not_equal_attrs:
|
||||
if hasattr(a, i):
|
||||
assert hasattr(b, i), i
|
||||
elif i in deprecated_attrs or i in deprecated:
|
||||
with ignore_warnings(SymPyDeprecationWarning):
|
||||
assert getattr(a, i) == getattr(b, i), i
|
||||
elif not hasattr(a, i):
|
||||
continue
|
||||
else:
|
||||
attr = getattr(a, i)
|
||||
if not hasattr(attr, "__call__"):
|
||||
assert hasattr(b, i), i
|
||||
assert getattr(b, i) == attr, "%s != %s, protocol: %s" % (getattr(b, i), attr, protocol)
|
||||
|
||||
c(a, b, d1)
|
||||
c(b, a, d2)
|
||||
|
||||
|
||||
|
||||
#================== core =========================
|
||||
|
||||
|
||||
def test_core_basic():
|
||||
for c in (Atom, Atom(), Basic, Basic(), SingletonRegistry, S):
|
||||
check(c)
|
||||
|
||||
def test_core_Str():
|
||||
check(Str('x'))
|
||||
|
||||
def test_core_symbol():
|
||||
# make the Symbol a unique name that doesn't class with any other
|
||||
# testing variable in this file since after this test the symbol
|
||||
# having the same name will be cached as noncommutative
|
||||
for c in (Dummy, Dummy("x", commutative=False), Symbol,
|
||||
Symbol("_issue_3130", commutative=False), Wild, Wild("x")):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_numbers():
|
||||
for c in (Integer(2), Rational(2, 3), Float("1.2")):
|
||||
check(c)
|
||||
for c in (AlgebraicNumber, AlgebraicNumber(sqrt(3))):
|
||||
check(c, check_attr=False)
|
||||
|
||||
|
||||
def test_core_float_copy():
|
||||
# See gh-7457
|
||||
y = Symbol("x") + 1.0
|
||||
check(y) # does not raise TypeError ("argument is not an mpz")
|
||||
|
||||
|
||||
def test_core_relational():
|
||||
x = Symbol("x")
|
||||
y = Symbol("y")
|
||||
for c in (Equality, Equality(x, y), GreaterThan, GreaterThan(x, y),
|
||||
LessThan, LessThan(x, y), Relational, Relational(x, y),
|
||||
StrictGreaterThan, StrictGreaterThan(x, y), StrictLessThan,
|
||||
StrictLessThan(x, y), Unequality, Unequality(x, y)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_add():
|
||||
x = Symbol("x")
|
||||
for c in (Add, Add(x, 4)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_mul():
|
||||
x = Symbol("x")
|
||||
for c in (Mul, Mul(x, 4)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_power():
|
||||
x = Symbol("x")
|
||||
for c in (Pow, Pow(x, 4)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_function():
|
||||
x = Symbol("x")
|
||||
for f in (Derivative, Derivative(x), Function, FunctionClass, Lambda,
|
||||
WildFunction):
|
||||
check(f)
|
||||
|
||||
|
||||
def test_core_undefinedfunctions():
|
||||
f = Function("f")
|
||||
check(f)
|
||||
|
||||
|
||||
def test_core_appliedundef():
|
||||
x = Symbol("_long_unique_name_1")
|
||||
f = Function("_long_unique_name_2")
|
||||
check(f(x))
|
||||
|
||||
|
||||
def test_core_interval():
|
||||
for c in (Interval, Interval(0, 2)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_core_multidimensional():
|
||||
for c in (vectorize, vectorize(0)):
|
||||
check(c)
|
||||
|
||||
|
||||
def test_Singletons():
|
||||
protocols = [0, 1, 2, 3, 4]
|
||||
copiers = [copy.copy, copy.deepcopy]
|
||||
copiers += [lambda x: pickle.loads(pickle.dumps(x, proto))
|
||||
for proto in protocols]
|
||||
if cloudpickle:
|
||||
copiers += [lambda x: cloudpickle.loads(cloudpickle.dumps(x))]
|
||||
|
||||
for obj in (Integer(-1), Integer(0), Integer(1), Rational(1, 2), pi, E, I,
|
||||
oo, -oo, zoo, nan, S.GoldenRatio, S.TribonacciConstant,
|
||||
S.EulerGamma, S.Catalan, S.EmptySet, S.IdentityFunction):
|
||||
for func in copiers:
|
||||
assert func(obj) is obj
|
||||
|
||||
#================== combinatorics ===================
|
||||
from sympy.combinatorics.free_groups import FreeGroup
|
||||
|
||||
def test_free_group():
|
||||
check(FreeGroup("x, y, z"), check_attr=False)
|
||||
|
||||
#================== functions ===================
|
||||
from sympy.functions import (Piecewise, lowergamma, acosh, chebyshevu,
|
||||
chebyshevt, ln, chebyshevt_root, legendre, Heaviside, bernoulli, coth,
|
||||
tanh, assoc_legendre, sign, arg, asin, DiracDelta, re, rf, Abs,
|
||||
uppergamma, binomial, sinh, cos, cot, acos, acot, gamma, bell,
|
||||
hermite, harmonic, LambertW, zeta, log, factorial, asinh, acoth, cosh,
|
||||
dirichlet_eta, Eijk, loggamma, erf, ceiling, im, fibonacci,
|
||||
tribonacci, conjugate, tan, chebyshevu_root, floor, atanh, sqrt, sin,
|
||||
atan, ff, lucas, atan2, polygamma, exp)
|
||||
|
||||
|
||||
def test_functions():
|
||||
one_var = (acosh, ln, Heaviside, factorial, bernoulli, coth, tanh,
|
||||
sign, arg, asin, DiracDelta, re, Abs, sinh, cos, cot, acos, acot,
|
||||
gamma, bell, harmonic, LambertW, zeta, log, factorial, asinh,
|
||||
acoth, cosh, dirichlet_eta, loggamma, erf, ceiling, im, fibonacci,
|
||||
tribonacci, conjugate, tan, floor, atanh, sin, atan, lucas, exp)
|
||||
two_var = (rf, ff, lowergamma, chebyshevu, chebyshevt, binomial,
|
||||
atan2, polygamma, hermite, legendre, uppergamma)
|
||||
x, y, z = symbols("x,y,z")
|
||||
others = (chebyshevt_root, chebyshevu_root, Eijk(x, y, z),
|
||||
Piecewise( (0, x < -1), (x**2, x <= 1), (x**3, True)),
|
||||
assoc_legendre)
|
||||
for cls in one_var:
|
||||
check(cls)
|
||||
c = cls(x)
|
||||
check(c)
|
||||
for cls in two_var:
|
||||
check(cls)
|
||||
c = cls(x, y)
|
||||
check(c)
|
||||
for cls in others:
|
||||
check(cls)
|
||||
|
||||
#================== geometry ====================
|
||||
from sympy.geometry.entity import GeometryEntity
|
||||
from sympy.geometry.point import Point
|
||||
from sympy.geometry.ellipse import Circle, Ellipse
|
||||
from sympy.geometry.line import Line, LinearEntity, Ray, Segment
|
||||
from sympy.geometry.polygon import Polygon, RegularPolygon, Triangle
|
||||
|
||||
|
||||
def test_geometry():
|
||||
p1 = Point(1, 2)
|
||||
p2 = Point(2, 3)
|
||||
p3 = Point(0, 0)
|
||||
p4 = Point(0, 1)
|
||||
for c in (
|
||||
GeometryEntity, GeometryEntity(), Point, p1, Circle, Circle(p1, 2),
|
||||
Ellipse, Ellipse(p1, 3, 4), Line, Line(p1, p2), LinearEntity,
|
||||
LinearEntity(p1, p2), Ray, Ray(p1, p2), Segment, Segment(p1, p2),
|
||||
Polygon, Polygon(p1, p2, p3, p4), RegularPolygon,
|
||||
RegularPolygon(p1, 4, 5), Triangle, Triangle(p1, p2, p3)):
|
||||
check(c, check_attr=False)
|
||||
|
||||
#================== integrals ====================
|
||||
from sympy.integrals.integrals import Integral
|
||||
|
||||
|
||||
def test_integrals():
|
||||
x = Symbol("x")
|
||||
for c in (Integral, Integral(x)):
|
||||
check(c)
|
||||
|
||||
#==================== logic =====================
|
||||
from sympy.core.logic import Logic
|
||||
|
||||
|
||||
def test_logic():
|
||||
for c in (Logic, Logic(1)):
|
||||
check(c)
|
||||
|
||||
#================== matrices ====================
|
||||
from sympy.matrices import Matrix, SparseMatrix
|
||||
|
||||
|
||||
def test_matrices():
|
||||
for c in (Matrix, Matrix([1, 2, 3]), SparseMatrix, SparseMatrix([[1, 2], [3, 4]])):
|
||||
check(c, deprecated=['_smat', '_mat'])
|
||||
|
||||
#================== ntheory =====================
|
||||
from sympy.ntheory.generate import Sieve
|
||||
|
||||
|
||||
def test_ntheory():
|
||||
for c in (Sieve, Sieve()):
|
||||
check(c)
|
||||
|
||||
#================== physics =====================
|
||||
from sympy.physics.paulialgebra import Pauli
|
||||
from sympy.physics.units import Unit
|
||||
|
||||
|
||||
def test_physics():
|
||||
for c in (Unit, meter, Pauli, Pauli(1)):
|
||||
check(c)
|
||||
|
||||
#================== plotting ====================
|
||||
# XXX: These tests are not complete, so XFAIL them
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_plotting():
|
||||
from sympy.plotting.pygletplot.color_scheme import ColorGradient, ColorScheme
|
||||
from sympy.plotting.pygletplot.managed_window import ManagedWindow
|
||||
from sympy.plotting.plot import Plot, ScreenShot
|
||||
from sympy.plotting.pygletplot.plot_axes import PlotAxes, PlotAxesBase, PlotAxesFrame, PlotAxesOrdinate
|
||||
from sympy.plotting.pygletplot.plot_camera import PlotCamera
|
||||
from sympy.plotting.pygletplot.plot_controller import PlotController
|
||||
from sympy.plotting.pygletplot.plot_curve import PlotCurve
|
||||
from sympy.plotting.pygletplot.plot_interval import PlotInterval
|
||||
from sympy.plotting.pygletplot.plot_mode import PlotMode
|
||||
from sympy.plotting.pygletplot.plot_modes import Cartesian2D, Cartesian3D, Cylindrical, \
|
||||
ParametricCurve2D, ParametricCurve3D, ParametricSurface, Polar, Spherical
|
||||
from sympy.plotting.pygletplot.plot_object import PlotObject
|
||||
from sympy.plotting.pygletplot.plot_surface import PlotSurface
|
||||
from sympy.plotting.pygletplot.plot_window import PlotWindow
|
||||
for c in (
|
||||
ColorGradient, ColorGradient(0.2, 0.4), ColorScheme, ManagedWindow,
|
||||
ManagedWindow, Plot, ScreenShot, PlotAxes, PlotAxesBase,
|
||||
PlotAxesFrame, PlotAxesOrdinate, PlotCamera, PlotController,
|
||||
PlotCurve, PlotInterval, PlotMode, Cartesian2D, Cartesian3D,
|
||||
Cylindrical, ParametricCurve2D, ParametricCurve3D,
|
||||
ParametricSurface, Polar, Spherical, PlotObject, PlotSurface,
|
||||
PlotWindow):
|
||||
check(c)
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_plotting2():
|
||||
#from sympy.plotting.color_scheme import ColorGradient
|
||||
from sympy.plotting.pygletplot.color_scheme import ColorScheme
|
||||
#from sympy.plotting.managed_window import ManagedWindow
|
||||
from sympy.plotting.plot import Plot
|
||||
#from sympy.plotting.plot import ScreenShot
|
||||
from sympy.plotting.pygletplot.plot_axes import PlotAxes
|
||||
#from sympy.plotting.plot_axes import PlotAxesBase, PlotAxesFrame, PlotAxesOrdinate
|
||||
#from sympy.plotting.plot_camera import PlotCamera
|
||||
#from sympy.plotting.plot_controller import PlotController
|
||||
#from sympy.plotting.plot_curve import PlotCurve
|
||||
#from sympy.plotting.plot_interval import PlotInterval
|
||||
#from sympy.plotting.plot_mode import PlotMode
|
||||
#from sympy.plotting.plot_modes import Cartesian2D, Cartesian3D, Cylindrical, \
|
||||
# ParametricCurve2D, ParametricCurve3D, ParametricSurface, Polar, Spherical
|
||||
#from sympy.plotting.plot_object import PlotObject
|
||||
#from sympy.plotting.plot_surface import PlotSurface
|
||||
# from sympy.plotting.plot_window import PlotWindow
|
||||
check(ColorScheme("rainbow"))
|
||||
check(Plot(1, visible=False))
|
||||
check(PlotAxes())
|
||||
|
||||
#================== polys =======================
|
||||
from sympy.polys.domains.integerring import ZZ
|
||||
from sympy.polys.domains.rationalfield import QQ
|
||||
from sympy.polys.orderings import lex
|
||||
from sympy.polys.polytools import Poly
|
||||
|
||||
def test_pickling_polys_polytools():
|
||||
from sympy.polys.polytools import PurePoly
|
||||
# from sympy.polys.polytools import GroebnerBasis
|
||||
x = Symbol('x')
|
||||
|
||||
for c in (Poly, Poly(x, x)):
|
||||
check(c)
|
||||
|
||||
for c in (PurePoly, PurePoly(x)):
|
||||
check(c)
|
||||
|
||||
# TODO: fix pickling of Options class (see GroebnerBasis._options)
|
||||
# for c in (GroebnerBasis, GroebnerBasis([x**2 - 1], x, order=lex)):
|
||||
# check(c)
|
||||
|
||||
def test_pickling_polys_polyclasses():
|
||||
from sympy.polys.polyclasses import DMP, DMF, ANP
|
||||
|
||||
for c in (DMP, DMP([[ZZ(1)], [ZZ(2)], [ZZ(3)]], ZZ)):
|
||||
check(c, deprecated=['rep'])
|
||||
for c in (DMF, DMF(([ZZ(1), ZZ(2)], [ZZ(1), ZZ(3)]), ZZ)):
|
||||
check(c)
|
||||
for c in (ANP, ANP([QQ(1), QQ(2)], [QQ(1), QQ(2), QQ(3)], QQ)):
|
||||
check(c)
|
||||
|
||||
@XFAIL
|
||||
def test_pickling_polys_rings():
|
||||
# NOTE: can't use protocols < 2 because we have to execute __new__ to
|
||||
# make sure caching of rings works properly.
|
||||
|
||||
from sympy.polys.rings import PolyRing
|
||||
|
||||
ring = PolyRing("x,y,z", ZZ, lex)
|
||||
|
||||
for c in (PolyRing, ring):
|
||||
check(c, exclude=[0, 1])
|
||||
|
||||
for c in (ring.dtype, ring.one):
|
||||
check(c, exclude=[0, 1], check_attr=False) # TODO: Py3k
|
||||
|
||||
def test_pickling_polys_fields():
|
||||
pass
|
||||
# NOTE: can't use protocols < 2 because we have to execute __new__ to
|
||||
# make sure caching of fields works properly.
|
||||
|
||||
# from sympy.polys.fields import FracField
|
||||
|
||||
# field = FracField("x,y,z", ZZ, lex)
|
||||
|
||||
# TODO: AssertionError: assert id(obj) not in self.memo
|
||||
# for c in (FracField, field):
|
||||
# check(c, exclude=[0, 1])
|
||||
|
||||
# TODO: AssertionError: assert id(obj) not in self.memo
|
||||
# for c in (field.dtype, field.one):
|
||||
# check(c, exclude=[0, 1])
|
||||
|
||||
def test_pickling_polys_elements():
|
||||
from sympy.polys.domains.pythonrational import PythonRational
|
||||
#from sympy.polys.domains.pythonfinitefield import PythonFiniteField
|
||||
#from sympy.polys.domains.mpelements import MPContext
|
||||
|
||||
for c in (PythonRational, PythonRational(1, 7)):
|
||||
check(c)
|
||||
|
||||
#gf = PythonFiniteField(17)
|
||||
|
||||
# TODO: fix pickling of ModularInteger
|
||||
# for c in (gf.dtype, gf(5)):
|
||||
# check(c)
|
||||
|
||||
#mp = MPContext()
|
||||
|
||||
# TODO: fix pickling of RealElement
|
||||
# for c in (mp.mpf, mp.mpf(1.0)):
|
||||
# check(c)
|
||||
|
||||
# TODO: fix pickling of ComplexElement
|
||||
# for c in (mp.mpc, mp.mpc(1.0, -1.5)):
|
||||
# check(c)
|
||||
|
||||
def test_pickling_polys_domains():
|
||||
# from sympy.polys.domains.pythonfinitefield import PythonFiniteField
|
||||
from sympy.polys.domains.pythonintegerring import PythonIntegerRing
|
||||
from sympy.polys.domains.pythonrationalfield import PythonRationalField
|
||||
|
||||
# TODO: fix pickling of ModularInteger
|
||||
# for c in (PythonFiniteField, PythonFiniteField(17)):
|
||||
# check(c)
|
||||
|
||||
for c in (PythonIntegerRing, PythonIntegerRing()):
|
||||
check(c, check_attr=False)
|
||||
|
||||
for c in (PythonRationalField, PythonRationalField()):
|
||||
check(c, check_attr=False)
|
||||
|
||||
if _gmpy is not None:
|
||||
# from sympy.polys.domains.gmpyfinitefield import GMPYFiniteField
|
||||
from sympy.polys.domains.gmpyintegerring import GMPYIntegerRing
|
||||
from sympy.polys.domains.gmpyrationalfield import GMPYRationalField
|
||||
|
||||
# TODO: fix pickling of ModularInteger
|
||||
# for c in (GMPYFiniteField, GMPYFiniteField(17)):
|
||||
# check(c)
|
||||
|
||||
for c in (GMPYIntegerRing, GMPYIntegerRing()):
|
||||
check(c, check_attr=False)
|
||||
|
||||
for c in (GMPYRationalField, GMPYRationalField()):
|
||||
check(c, check_attr=False)
|
||||
|
||||
#from sympy.polys.domains.realfield import RealField
|
||||
#from sympy.polys.domains.complexfield import ComplexField
|
||||
from sympy.polys.domains.algebraicfield import AlgebraicField
|
||||
#from sympy.polys.domains.polynomialring import PolynomialRing
|
||||
#from sympy.polys.domains.fractionfield import FractionField
|
||||
from sympy.polys.domains.expressiondomain import ExpressionDomain
|
||||
|
||||
# TODO: fix pickling of RealElement
|
||||
# for c in (RealField, RealField(100)):
|
||||
# check(c)
|
||||
|
||||
# TODO: fix pickling of ComplexElement
|
||||
# for c in (ComplexField, ComplexField(100)):
|
||||
# check(c)
|
||||
|
||||
for c in (AlgebraicField, AlgebraicField(QQ, sqrt(3))):
|
||||
check(c, check_attr=False)
|
||||
|
||||
# TODO: AssertionError
|
||||
# for c in (PolynomialRing, PolynomialRing(ZZ, "x,y,z")):
|
||||
# check(c)
|
||||
|
||||
# TODO: AttributeError: 'PolyElement' object has no attribute 'ring'
|
||||
# for c in (FractionField, FractionField(ZZ, "x,y,z")):
|
||||
# check(c)
|
||||
|
||||
for c in (ExpressionDomain, ExpressionDomain()):
|
||||
check(c, check_attr=False)
|
||||
|
||||
|
||||
def test_pickling_polys_orderings():
|
||||
from sympy.polys.orderings import (LexOrder, GradedLexOrder,
|
||||
ReversedGradedLexOrder, InverseOrder)
|
||||
# from sympy.polys.orderings import ProductOrder
|
||||
|
||||
for c in (LexOrder, LexOrder()):
|
||||
check(c)
|
||||
|
||||
for c in (GradedLexOrder, GradedLexOrder()):
|
||||
check(c)
|
||||
|
||||
for c in (ReversedGradedLexOrder, ReversedGradedLexOrder()):
|
||||
check(c)
|
||||
|
||||
# TODO: Argh, Python is so naive. No lambdas nor inner function support in
|
||||
# pickling module. Maybe someone could figure out what to do with this.
|
||||
#
|
||||
# for c in (ProductOrder, ProductOrder((LexOrder(), lambda m: m[:2]),
|
||||
# (GradedLexOrder(), lambda m: m[2:]))):
|
||||
# check(c)
|
||||
|
||||
for c in (InverseOrder, InverseOrder(LexOrder())):
|
||||
check(c)
|
||||
|
||||
def test_pickling_polys_monomials():
|
||||
from sympy.polys.monomials import MonomialOps, Monomial
|
||||
x, y, z = symbols("x,y,z")
|
||||
|
||||
for c in (MonomialOps, MonomialOps(3)):
|
||||
check(c)
|
||||
|
||||
for c in (Monomial, Monomial((1, 2, 3), (x, y, z))):
|
||||
check(c)
|
||||
|
||||
def test_pickling_polys_errors():
|
||||
from sympy.polys.polyerrors import (HeuristicGCDFailed,
|
||||
HomomorphismFailed, IsomorphismFailed, ExtraneousFactors,
|
||||
EvaluationFailed, RefinementFailed, CoercionFailed, NotInvertible,
|
||||
NotReversible, NotAlgebraic, DomainError, PolynomialError,
|
||||
UnificationFailed, GeneratorsError, GeneratorsNeeded,
|
||||
UnivariatePolynomialError, MultivariatePolynomialError, OptionError,
|
||||
FlagError)
|
||||
# from sympy.polys.polyerrors import (ExactQuotientFailed,
|
||||
# OperationNotSupported, ComputationFailed, PolificationFailed)
|
||||
|
||||
# x = Symbol('x')
|
||||
|
||||
# TODO: TypeError: __init__() takes at least 3 arguments (1 given)
|
||||
# for c in (ExactQuotientFailed, ExactQuotientFailed(x, 3*x, ZZ)):
|
||||
# check(c)
|
||||
|
||||
# TODO: TypeError: can't pickle instancemethod objects
|
||||
# for c in (OperationNotSupported, OperationNotSupported(Poly(x), Poly.gcd)):
|
||||
# check(c)
|
||||
|
||||
for c in (HeuristicGCDFailed, HeuristicGCDFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (HomomorphismFailed, HomomorphismFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (IsomorphismFailed, IsomorphismFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (ExtraneousFactors, ExtraneousFactors()):
|
||||
check(c)
|
||||
|
||||
for c in (EvaluationFailed, EvaluationFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (RefinementFailed, RefinementFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (CoercionFailed, CoercionFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (NotInvertible, NotInvertible()):
|
||||
check(c)
|
||||
|
||||
for c in (NotReversible, NotReversible()):
|
||||
check(c)
|
||||
|
||||
for c in (NotAlgebraic, NotAlgebraic()):
|
||||
check(c)
|
||||
|
||||
for c in (DomainError, DomainError()):
|
||||
check(c)
|
||||
|
||||
for c in (PolynomialError, PolynomialError()):
|
||||
check(c)
|
||||
|
||||
for c in (UnificationFailed, UnificationFailed()):
|
||||
check(c)
|
||||
|
||||
for c in (GeneratorsError, GeneratorsError()):
|
||||
check(c)
|
||||
|
||||
for c in (GeneratorsNeeded, GeneratorsNeeded()):
|
||||
check(c)
|
||||
|
||||
# TODO: PicklingError: Can't pickle <function <lambda> at 0x38578c0>: it's not found as __main__.<lambda>
|
||||
# for c in (ComputationFailed, ComputationFailed(lambda t: t, 3, None)):
|
||||
# check(c)
|
||||
|
||||
for c in (UnivariatePolynomialError, UnivariatePolynomialError()):
|
||||
check(c)
|
||||
|
||||
for c in (MultivariatePolynomialError, MultivariatePolynomialError()):
|
||||
check(c)
|
||||
|
||||
# TODO: TypeError: __init__() takes at least 3 arguments (1 given)
|
||||
# for c in (PolificationFailed, PolificationFailed({}, x, x, False)):
|
||||
# check(c)
|
||||
|
||||
for c in (OptionError, OptionError()):
|
||||
check(c)
|
||||
|
||||
for c in (FlagError, FlagError()):
|
||||
check(c)
|
||||
|
||||
#def test_pickling_polys_options():
|
||||
#from sympy.polys.polyoptions import Options
|
||||
|
||||
# TODO: fix pickling of `symbols' flag
|
||||
# for c in (Options, Options((), dict(domain='ZZ', polys=False))):
|
||||
# check(c)
|
||||
|
||||
# TODO: def test_pickling_polys_rootisolation():
|
||||
# RealInterval
|
||||
# ComplexInterval
|
||||
|
||||
def test_pickling_polys_rootoftools():
|
||||
from sympy.polys.rootoftools import CRootOf, RootSum
|
||||
|
||||
x = Symbol('x')
|
||||
f = x**3 + x + 3
|
||||
|
||||
for c in (CRootOf, CRootOf(f, 0)):
|
||||
check(c)
|
||||
|
||||
for c in (RootSum, RootSum(f, exp)):
|
||||
check(c)
|
||||
|
||||
#================== printing ====================
|
||||
from sympy.printing.latex import LatexPrinter
|
||||
from sympy.printing.mathml import MathMLContentPrinter, MathMLPresentationPrinter
|
||||
from sympy.printing.pretty.pretty import PrettyPrinter
|
||||
from sympy.printing.pretty.stringpict import prettyForm, stringPict
|
||||
from sympy.printing.printer import Printer
|
||||
from sympy.printing.python import PythonPrinter
|
||||
|
||||
|
||||
def test_printing():
|
||||
for c in (LatexPrinter, LatexPrinter(), MathMLContentPrinter,
|
||||
MathMLPresentationPrinter, PrettyPrinter, prettyForm, stringPict,
|
||||
stringPict("a"), Printer, Printer(), PythonPrinter,
|
||||
PythonPrinter()):
|
||||
check(c)
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_printing1():
|
||||
check(MathMLContentPrinter())
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_printing2():
|
||||
check(MathMLPresentationPrinter())
|
||||
|
||||
|
||||
@XFAIL
|
||||
def test_printing3():
|
||||
check(PrettyPrinter())
|
||||
|
||||
#================== series ======================
|
||||
from sympy.series.limits import Limit
|
||||
from sympy.series.order import Order
|
||||
|
||||
|
||||
def test_series():
|
||||
e = Symbol("e")
|
||||
x = Symbol("x")
|
||||
for c in (Limit, Limit(e, x, 1), Order, Order(e)):
|
||||
check(c)
|
||||
|
||||
#================== concrete ==================
|
||||
from sympy.concrete.products import Product
|
||||
from sympy.concrete.summations import Sum
|
||||
|
||||
|
||||
def test_concrete():
|
||||
x = Symbol("x")
|
||||
for c in (Product, Product(x, (x, 2, 4)), Sum, Sum(x, (x, 2, 4))):
|
||||
check(c)
|
||||
|
||||
def test_deprecation_warning():
|
||||
w = SymPyDeprecationWarning("message", deprecated_since_version='1.0', active_deprecations_target="active-deprecations")
|
||||
check(w)
|
||||
|
||||
def test_issue_18438():
|
||||
assert pickle.loads(pickle.dumps(S.Half)) == S.Half
|
||||
|
||||
|
||||
#================= old pickles =================
|
||||
def test_unpickle_from_older_versions():
|
||||
data = (
|
||||
b'\x80\x04\x95^\x00\x00\x00\x00\x00\x00\x00\x8c\x10sympy.core.power'
|
||||
b'\x94\x8c\x03Pow\x94\x93\x94\x8c\x12sympy.core.numbers\x94\x8c'
|
||||
b'\x07Integer\x94\x93\x94K\x02\x85\x94R\x94}\x94bh\x03\x8c\x04Half'
|
||||
b'\x94\x93\x94)R\x94}\x94b\x86\x94R\x94}\x94b.'
|
||||
)
|
||||
assert pickle.loads(data) == sqrt(2)
|
||||
@@ -0,0 +1,11 @@
|
||||
from sympy.utilities.source import get_mod_func, get_class
|
||||
|
||||
|
||||
def test_get_mod_func():
|
||||
assert get_mod_func(
|
||||
'sympy.core.basic.Basic') == ('sympy.core.basic', 'Basic')
|
||||
|
||||
|
||||
def test_get_class():
|
||||
_basic = get_class('sympy.core.basic.Basic')
|
||||
assert _basic.__name__ == 'Basic'
|
||||
@@ -0,0 +1,10 @@
|
||||
"""Tests for simple tools for timing functions' execution. """
|
||||
|
||||
from sympy.utilities.timeutils import timed
|
||||
|
||||
def test_timed():
|
||||
result = timed(lambda: 1 + 1, limit=100000)
|
||||
assert result[0] == 100000 and result[3] == "ns", str(result)
|
||||
|
||||
result = timed("1 + 1", limit=100000)
|
||||
assert result[0] == 100000 and result[3] == "ns"
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,3 @@
|
||||
# A test file for XXE injection
|
||||
# Username: Test
|
||||
# Password: Test
|
||||
Reference in New Issue
Block a user