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authorNao Pross <np@0hm.ch>2024-03-08 00:26:31 +0100
committerNao Pross <np@0hm.ch>2024-03-08 00:26:43 +0100
commit4b41360359121ac906bc41292b4aefa1219ac6b3 (patch)
tree91178bfdb2ec7dca2c601040e480ccf722a8a22f /examples
parentUpdate README (diff)
downloadmdpoly-4b41360359121ac906bc41292b4aefa1219ac6b3.tar.gz
mdpoly-4b41360359121ac906bc41292b4aefa1219ac6b3.zip
Create directory for examples
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-rw-r--r--examples/readme.py43
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diff --git a/examples/readme.py b/examples/readme.py
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+try:
+ import mdpoly
+except ModuleNotFoundError:
+ import sys
+ import pathlib
+ parent = pathlib.Path(__file__).resolve().parent.parent
+ sys.path.append(str(parent))
+
+from mdpoly import State, Variable, Parameter
+from mdpoly.representations import SparseRepr
+
+# Construct an expression
+x, y = Variable.from_names("x, y") # or just Variable("x")
+k = Parameter("k")
+
+p = (x + 2 * y) ** 3 + y ** 2 + k
+print(f"{p = }")
+
+# Expressions can be easily reparametrized
+w = Parameter("w")
+q = p.replace(y, w).replace(k, k ** 2)
+print(f"{q = }")
+
+# Make a concrete representation
+state = State(parameters={k: 3.14}) # try to replace with empty dict
+sparse, state = p.to_repr(SparseRepr, state)
+
+# Look inside the representation
+for entry in sparse.entries():
+ print(f"at (row, col) = {entry.row, entry.col} there is a polynomial:")
+ for term in sparse.terms(entry):
+ monomial_str = ""
+ for idx in term:
+ var = state.from_index(idx)
+ monomial_str += f"{var}^{idx.power} "
+
+ # Get the coefficient
+ coeff = sparse.at(entry, term)
+ print(" - the monomial", monomial_str, "has coefficient", coeff)
+
+# You can also simply iterate over it
+for entry, term, coeff in sparse:
+ print(entry, term, coeff)