Merge branch 'master' into print-names

INSTALL.md

@@ -1,12 +1,24 @@
 Requirements
 ============
 
+From version 4.4.0 SCIP is automatically shipped when using PyPI for the following systems:
+
+- CPython 3.6 / 3.7 / 3.8 / 3.9 / 3.10 / 3.11 for  Linux (manylinux2014)
+- CPython 3.6 / 3.7 / 3.8 / 3.9 / 3.10 / 3.11 for MacOS for x86_64 (ARM i.e. Apple Silicon is currently unavailable)
+- CPython 3.8 / 3.9 / 3.10 / 3.11 for Windows
+
+This work is currently ongoing, and is planned to encompass all Python and OS combinations. 
+
+Please note that to use any of these Python / OS combinations without the default SCIP, one must build PySCIPOpt from source and
+link against your own installation of SCIP. Such a scenario is common if the LP plugin should be Gurobi / Xpress / CPLEX instead of Soplex.
+
+When installing from source or using PyPI with a python version and operating system combination that is not mentioned above,
 PySCIPOpt requires a working installation of the [SCIP Optimization
 Suite](https://www.scipopt.org/). Please, make sure that your SCIP installation works!
 
 **Note that the latest PySCIPOpt version is usually only compatible with the latest major release of the SCIP Optimization Suite. See the table on the README.md page for details.**
 
-If SCIP is not installed in the global path
+If installing SCIP from source or using PyPI with a python and operating system that is not mentioned above, and SCIP is not installed in the global path,
 you need to specify the install location using the environment variable
 `SCIPOPTDIR`:
 
@@ -29,19 +41,24 @@ contains the corresponding header files:
         > nlpi
         > ...
 
-If you are not using the installer packages, you need to [install the
+If you install SCIP yourself and are not using the installer packages, you need to [install the
 SCIP Optimization Suite using CMake](https://www.scipopt.org/doc/html/md_INSTALL.php#CMAKE).
 The Makefile system is not compatible with PySCIPOpt!
 
-On Windows it is highly recommended to use the [Anaconda Python
+When building SCIP from source using Windows it is highly recommended to use the [Anaconda Python
 Platform](https://www.anaconda.com/).
 
 Installation from PyPI
 ======================
 
     python -m pip install pyscipopt
 
-On Windows you may need to ensure that the `scip` library can be found
+Please note that if your Python version and OS version are in the combinations at the start of this INSTALL file then
+pip now automatically installs a pre-built version of SCIP. For these combinations, to use your own installation of SCIP,
+plese see the section on building from source. For unavailable combinations this pip command will automatically
+search your global installs or custom set paths as above.
+
+On Windows for combinations not listed at the start of this file, you may need to ensure that the `scip` library can be found
 at runtime by adjusting your `PATH` environment variable:
 
 -   on Windows: `set PATH=%PATH%;%SCIPOPTDIR%\bin`

src/pyscipopt/__init__.py

@@ -1,4 +1,4 @@
-__version__ = '4.3.0'
+__version__ = '4.4.0'
 
 # required for Python 3.8 on Windows
 import os

src/pyscipopt/scip.pxd

@@ -456,9 +456,6 @@ cdef extern from "scip/scip.h":
     ctypedef struct SCIP_HASHMAP:
         pass
 
-    #ctypedef struct SCIP_BOUNDTYPE:
-    #   pass
-
     ctypedef struct SCIP_BDCHGIDX:
         pass
 

src/pyscipopt/scip.pxi

@@ -962,6 +962,11 @@ cdef class Constraint:
         constype = bytes(SCIPconshdlrGetName(SCIPconsGetHdlr(self.scip_cons))).decode('UTF-8')
         return constype == 'nonlinear'
 
+    def getConshdlrName(self):
+        """Return the constraint handler's name"""
+        constype = bytes(SCIPconshdlrGetName(SCIPconsGetHdlr(self.scip_cons))).decode('UTF-8')
+        return constype
+
     def __hash__(self):
         return hash(<size_t>self.scip_cons)
 
@@ -1110,6 +1115,11 @@ cdef class Model:
 
     def freeTransform(self):
         """Frees all solution process data including presolving and transformed problem, only original problem is kept"""
+        self._modelvars = {
+            var: value
+            for var, value in self._modelvars.items()
+            if value.isOriginal()
+        }
         PY_SCIP_CALL(SCIPfreeTransform(self._scip))
 
     def version(self):
@@ -5171,4 +5181,4 @@ def is_memory_freed():
     return BMSgetMemoryUsed() == 0
 
 def print_memory_in_use():
-    BMScheckEmptyMemory()
+    BMScheckEmptyMemory()

tests/test_cons.py

@@ -96,6 +96,8 @@ def test_SOScons():
     assert m.isEQ(m.getVal(x[3]), 1)
     assert m.isEQ(m.getVal(x[4]), 1)
     assert m.isEQ(m.getVal(x[5]), 1)
+    assert c1.getConshdlrName() == "SOS1"
+    assert c2.getConshdlrName() == "SOS2"
 
 
 def test_cons_indicator():
@@ -112,6 +114,7 @@ def test_cons_indicator():
     assert m.isEQ(m.getVal(slack), 0)
     assert m.isEQ(m.getVal(binvar), 1)
     assert m.isEQ(m.getVal(x), 1)
+    assert c.getConshdlrName() == "indicator"
 
 
 @pytest.mark.xfail(reason="addConsIndicator doesn't behave as expected when binary variable is False. See Issue #717.")

tests/test_pricer.py

@@ -158,6 +158,11 @@ def test_cuttingstock():
     assert type(s.getNSols()) == int
     assert s.getNSols() == s.data["nSols"]
 
+    # Testing freeTransform
+    s.freeTransform()
+    for i in range(10):
+        s.addVar()
+
 def test_incomplete_pricer():
     class IncompletePricer(Pricer):
         pass