tensor-sensor

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"""
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MIT License
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Copyright (c) 2021 Terence Parr
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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"""
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from tsensor.parsing import *
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import re
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def check(s, expected_repr, expect_str=None):
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    p = PyExprParser(s, hush_errors=False)
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    t = p.parse()
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    s = re.sub(r"\s+", "", s)
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    result_str = str(t)
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    result_str = re.sub(r"\s+", "", result_str)
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    if expect_str:
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        s = expect_str
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    assert result_str==s
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    result_repr = repr(t)
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    result_repr = re.sub(r"\s+", "", result_repr)
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    expected_repr = re.sub(r"\s+", "", expected_repr)
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    # print("result", result_repr)
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    # print("expected", expected)
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    assert result_repr == expected_repr
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def test_assign():
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    check("a = 3", "Assign(op=<EQUAL:=,2:3>,lhs=a,rhs=3)")
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def test_index():
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    check("a[:,i,j]", "Index(arr=a, index=[:, i, j])")
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def test_index2():
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    check("z = a[:]", "Assign(op=<EQUAL:=,2:3>,lhs=z,rhs=Index(arr=a,index=[:]))")
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def test_index3():
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    check("g.W[:,:,1]", "Index(arr=Member(op=<DOT:.,1:2>,obj=g,member=W),index=[:,:,1])")
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def test_literal_list():
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    check("[[1, 2], [3, 4]]",
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          "ListLiteral(elems=[ListLiteral(elems=[1, 2]), ListLiteral(elems=[3, 4])])")
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def test_literal_array():
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    check("np.array([[1, 2], [3, 4]])",
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          """
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          Call(func=Member(op=<DOT:.,2:3>,obj=np,member=array),
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               args=[ListLiteral(elems=[ListLiteral(elems=[1,2]),ListLiteral(elems=[3,4])])])
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          """)
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def test_method():
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    check("h = torch.tanh(h)",
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          "Assign(op=<EQUAL:=,2:3>,lhs=h,rhs=Call(func=Member(op=<DOT:.,9:10>,obj=torch,member=tanh),args=[h]))")
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def test_method2():
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    check("np.dot(b,b)",
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          "Call(func=Member(op=<DOT:.,2:3>,obj=np,member=dot),args=[b,b])")
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def test_method3():
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    check("y_pred = model(X)",
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          "Assign(op=<EQUAL:=,7:8>,lhs=y_pred,rhs=Call(func=model,args=[X]))")
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def test_field():
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    check("a.b", "Member(op=<DOT:.,1:2>,obj=a,member=b)")
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def test_member_func():
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    check("a.f()", "Call(func=Member(op=<DOT:.,1:2>,obj=a,member=f),args=[])")
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def test_field2():
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    check("a.b.c", "Member(op=<DOT:.,3:4>,obj=Member(op=<DOT:.,1:2>,obj=a,member=b),member=c)")
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def test_field_and_func():
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    check("a.f().c", "Member(op=<DOT:.,5:6>,obj=Call(func=Member(op=<DOT:.,1:2>,obj=a,member=f),args=[]),member=c)")
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def test_parens():
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    check("(a+b)*c", "BinaryOp(op=<STAR:*,5:6>,lhs=BinaryOp(op=<PLUS:+,2:3>,lhs=a,rhs=b),rhs=c)")
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def test_expr_in_arg_with_parens():
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    check("h = torch.tanh( (1-z)*h + z*h_ )",
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          "Assign(op=<EQUAL:=,2:3>,lhs=h,rhs=Call(func=Member(op=<DOT:.,9:10>,obj=torch,member=tanh),args=[BinaryOp(op=<PLUS:+,24:25>,lhs=BinaryOp(op=<STAR:*,21:22>,lhs=BinaryOp(op=<MINUS:-,18:19>,lhs=1,rhs=z),rhs=h),rhs=BinaryOp(op=<STAR:*,27:28>,lhs=z,rhs=h_))]))")
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def test_1tuple():
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    check("(3,)", "TupleLiteral(elems=[3])")
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def test_2tuple():
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    check("(3,4)", "TupleLiteral(elems=[3,4])")
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def test_2tuple_with_trailing_comma():
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    check("(3,4,)", "TupleLiteral(elems=[3,4])")
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def test_field_array():
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    check("a.b[34]", "Index(arr=Member(op=<DOT:.,1:2>,obj=a,member=b),index=[34])")
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def test_field_array_func():
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    check("a.b[34].f()", "Call(func=Member(op=<DOT:.,7:8>,obj=Index(arr=Member(op=<DOT:.,1:2>,obj=a,member=b),index=[34]),member=f),args=[])")
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def test_arith():
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    check("(1-z)*h + z*h_",
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          """BinaryOp(op=<PLUS:+,8:9>,
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                      lhs=BinaryOp(op=<STAR:*,5:6>,
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                                 lhs=BinaryOp(op=<MINUS:-,2:3>,
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                                              lhs=1,
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                                              rhs=z),
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                                 rhs=h),
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                      rhs=BinaryOp(op=<STAR:*,11:12>,lhs=z,rhs=h_))""")
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def test_pow():
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    check("a**2",
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          """BinaryOp(op=<DOUBLESTAR:**,1:3>,lhs=a,rhs=2)""")
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def test_chained_pow():
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    check("a**b**c",
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          """BinaryOp(op=<DOUBLESTAR:**,1:3>,lhs=a,rhs=BinaryOp(op=<DOUBLESTAR:**,4:6>,lhs=b,rhs=c))""")
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def test_chained_op():
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    check("a + b + c",
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          """BinaryOp(op=<PLUS:+,6:7>,
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                      lhs=BinaryOp(op=<PLUS:+,2:3>, lhs=a, rhs=b),
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                      rhs=c)""")
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def test_matrix_arith():
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    check("self.Whz@h + Uxz@x + bz",
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          """
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          BinaryOp(op=<PLUS:+,19:20>,
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                   lhs=BinaryOp(op=<PLUS:+,11:12>,
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                                lhs=BinaryOp(op=<AT:@,8:9>,lhs=Member(op=<DOT:.,4:5>,obj=self,member=Whz),rhs=h),
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                                rhs=BinaryOp(op=<AT:@,16:17>,lhs=Uxz,rhs=x)),
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                   rhs=bz)
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          """)
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def test_kwarg():
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    check("torch.relu(torch.rand(size=(2000,)))",
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          """
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          Call(func=Member(op=<DOT:.,5:6>,obj=torch,member=relu),
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               args=[Call(func=Member(op=<DOT:.,16:17>,obj=torch,member=rand),
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                          args=[Assign(op=<EQUAL:=,26:27>,lhs=size,rhs=TupleLiteral(elems=[2000]))])])""")