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Change the order of elements in __init__.py
[linpy.git]
/
linpy
/
linexprs.py
diff --git
a/linpy/linexprs.py
b/linpy/linexprs.py
index
c100698
..
961502d
100644
(file)
--- a/
linpy/linexprs.py
+++ b/
linpy/linexprs.py
@@
-339,7
+339,7
@@
class LinExpr:
Create an expression from a string. Raise SyntaxError if the string is
not properly formatted.
"""
Create an expression from a string. Raise SyntaxError if the string is
not properly formatted.
"""
- #
add implicit multiplication operators, e.g. '5x' -> '5*x'
+ #
Add implicit multiplication operators, e.g. '5x' -> '5*x'.
string = LinExpr._RE_NUM_VAR.sub(r'\1*\2', string)
tree = ast.parse(string, 'eval')
expr = cls._fromast(tree)
string = LinExpr._RE_NUM_VAR.sub(r'\1*\2', string)
tree = ast.parse(string, 'eval')
expr = cls._fromast(tree)
@@
-405,7
+405,7
@@
class LinExpr:
@classmethod
def fromsympy(cls, expr):
"""
@classmethod
def fromsympy(cls, expr):
"""
- Create a linear expression from a
symp
y expression. Raise TypeError is
+ Create a linear expression from a
SymP
y expression. Raise TypeError is
the sympy expression is not linear.
"""
import sympy
the sympy expression is not linear.
"""
import sympy
@@
-416,7
+416,8
@@
class LinExpr:
if symbol == sympy.S.One:
constant = coefficient
elif isinstance(symbol, sympy.Dummy):
if symbol == sympy.S.One:
constant = coefficient
elif isinstance(symbol, sympy.Dummy):
- # we cannot properly convert dummy symbols
+ # We cannot properly convert dummy symbols with respect to
+ # symbol equalities.
raise TypeError('cannot convert dummy symbols')
elif isinstance(symbol, sympy.Symbol):
symbol = Symbol(symbol.name)
raise TypeError('cannot convert dummy symbols')
elif isinstance(symbol, sympy.Symbol):
symbol = Symbol(symbol.name)
@@
-430,7
+431,7
@@
class LinExpr:
def tosympy(self):
"""
def tosympy(self):
"""
- Convert the linear expression to a
symp
y expression.
+ Convert the linear expression to a
SymP
y expression.
"""
import sympy
expr = 0
"""
import sympy
expr = 0
@@
-477,6
+478,8
@@
class Symbol(LinExpr):
@property
def _coefficients(self):
@property
def _coefficients(self):
+ # This is not implemented as an attribute, because __hash__ is not
+ # callable in __new__ in class Dummy.
return {self: Fraction(1)}
@property
return {self: Fraction(1)}
@property