Imported pySMT version 0.2.1

Author: marcogario

.gitignore

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+*.pyc
+*~

LICENSE

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MANIFEST.in

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+include LICENSE.txt, README.txt
+recursive-include docs *.txt
+include example.py

NOTICE

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+   Copyright 2014 Andrea Micheli and Marco Gario
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
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+
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+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.txt

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+============================================================
+ pySMT: A library for SMT formulae manipulation and solving
+============================================================
+
+pySMT makes working with Satisfiability Modulo Theory simple.
+
+Among others, you can:
+* Define formulae in a solver independent way in a simple and
+  inutitive way,
+* Write ad-hoc simplifiers and operators,
+* Dump your problems in the SMT-Lib format,
+* Solve them using one of the native solvers, or by wrapping any
+  SMT-Lib complaint solver.
+
+
+Requirements
+============
+
+* Python (http://www.python.org) >= 2.6
+* MathSAT (http://mathsat.fbk.eu/) >= 5 (Optional)
+* Z3 (http://z3.codeplex.com/releases) >= 4 (Optional)
+* CVC4 (http://cvc4.cs.nyu.edu/web/) (Optional)
+* Yices 2 (http://yices.csl.sri.com/) (Optional)
+
+
+The library assumes that the python binding for the SMT Solver are installed
+and accessible from your PYTHONPATH.
+For Yices 2 we rely on pyices (https://github.com/cheshire/pyices).
+
+The current version supports MathSAT 5, Z3 4 CVC4 and Yices 2.
+
+Supported Theories
+==================
+
+pySMT provides methods to define a formula in Linear Real Arithmetic
+(LRA), Real Difference Logic (RDL), their combination (LIRA) and
+Equalities and Uninterpreted Functions (EUF).
+
+
+Usage
+=====
+
+```
+from pysmt.shortcuts import Symbol, And, Not, FALSE, Solver
+
+with Solver() as solver:
+
+    varA = Symbol("A") # Default type is Boolean
+    varB = Symbol("B")
+
+    f = And([varA, Not(varB)])
+
+    print(f)
+
+    g = f.substitute({varB:varA})
+
+    print(g)
+
+    solver.add_assertion(g)
+    res = solver.solve()
+    assert not res
+
+    h = And(g, FALSE())
+    simp_h = h.simplify()
+    print(h, "-->", simp_h)
+```
+
+A more complex example is the following:
+
+  Lets consider the letters composing the words *HELLO* and *WORLD*,
+  with a possible integer value between 1 and 10 to each of them.
+
+  Is there a value for each letter so that H+E+L+L+O = W+O+R+L+D = 36?
+
+The following is the pySMT code for solving this problem:
+```
+from pysmt.shortcuts import Symbol, LE, GE, Int, And, Equals, Plus, Solver
+from pysmt.typing import INT
+
+hello = [Symbol(s, INT) for s in "hello"]
+world = [Symbol(s, INT) for s in "world"]
+
+letters = set(hello+world)
+
+domains = And([And( LE(Int(1), l),
+                    GE(Int(10), l) ) for l in letters])
+
+sum_hello = Plus(hello) # n-ary operators can take lists
+sum_world = Plus(world) # as arguments
+
+problem = And(Equals(sum_hello, sum_world),
+              Equals(sum_hello, Int(25)))
+
+formula = And(domains, problem)
+
+print("Serialization of the formula:")
+print(formula)
+
+# Use context to create and free a solver. Solver are selected by name
+# and can be used in a uniform way (try name="msat")
+with Solver(name="z3") as solver:
+    solver.add_assertion(formula)
+    if solver.solve():
+        for l in letters:
+            print("%s = %s" %(l, solver.get_value(l)))
+    else:
+        print("No solution found")
+```

SMT-LIB/download.py

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+#!/usr/bin/python
+# Downloads and Extracts the specified SMTLIB benchmark
+
+import urllib
+import zipfile
+import os.path
+import sys
+
+class BenchmarkNotFoundError(Exception):
+    pass
+
+def load_data(filename):
+    with open(filename, "r") as fin:
+        raw_data = fin.readlines()
+        return (line.split() for line in raw_data)
+
+def get_available_benchmarks(data):
+    return (d[0] for d in data)
+
+def download_benchmark(benchmark, target_file, force_download=False):
+    for (name, url) in load_data("smtlib.urls"):
+        if name == benchmark:
+            if force_download or not os.path.exists(name):
+                urllib.urlretrieve(url, target_file)
+            return
+    raise BenchmarkNotFoundError()
+
+def download_benchmarks(benchmarks, verbose=True):
+    for (name, target) in benchmarks:
+        if verbose: print("Downloading %s..." % name)
+        download_benchmark(name, target)
+        if verbose: print("Completed.")
+
+def unzip_benchmarks(benchmarks, verbose=True):
+    for (name, target) in benchmarks:
+        if verbose: print("Extracting %s..." % name)
+        with zipfile.ZipFile(target, "r") as z:
+            z.extractall()
+
+    if verbose: print("Completed.")
+
+
+if __name__ == "__main__":
+    benchmarks = [ ("LIA", "LIA.zip"),
+                   ("LRA", "LRA.zip"),
+                   ("QF_IDL", "QF_IDL.zip"),
+                   ("QF_LIA", "QF_LIA.zip"),
+                   ("QF_LRA", "QF_LRA.zip"),
+                   ("QF_RDL", "QF_RDL.zip"),
+
+                ]
+
+    download_benchmarks(benchmarks)
+    unzip_benchmarks(benchmarks)