Update fixtures for CVXPY v1.5.3 and NumPy v2 (#28)

The Gurobi interface in CVXPY was fixed for NumPy v2 in
cvxpy/cvxpy#2484, released in v1.5.3.

It seems the formatting of sparse matrices changed, something to do with
the interaction between SciPy and NumPy v2. Not quite sure if this
change was intended or not 🤷

pyproject.toml

@@ -54,9 +54,9 @@ build.hooks.vcs.version-file = "src/cvxpy_gurobi/_version.py"
 
 [tool.hatch.envs.default]
 dependencies = [
-  "cvxpy-base==1.5.2",
-  "gurobipy==11.0.0",
-  "numpy<2",  # as of cvxpy 1.5.2, the gurobi interface is not compatible with numpy 2
+  "cvxpy-base==1.5.*",
+  "gurobipy==11.*",
+  "numpy",
   "pytest",
   "pytest-insta",
 ]
@@ -72,7 +72,7 @@ versions = [
 dependencies = [
   "cvxpy-base=={matrix:cvxpy}.*",
   "gurobipy=={matrix:gurobipy}.*",
-  "numpy<2",  # as of cvxpy 1.5.2, the gurobi interface is not compatible with numpy 2
+  "numpy",
   "scipy{matrix:scipy:}",
   "coverage[toml]",
   "pytest",

tests/snapshots/all__lp_matrix10__0.txt

@@ -2,8 +2,8 @@ CVXPY
 Minimize
   Sum(x, None, False)
 Subject To
- 91: [[0.0 1.0]
- [2.0 3.0]] @ x + y == 1.0
+ 91: [[np.float64(0.0) np.float64(1.0)]
+ [np.float64(2.0) np.float64(3.0)]] @ x + y == 1.0
 Bounds
  x free
  y free

tests/snapshots/all__lp_matrix11__0.txt

@@ -2,8 +2,8 @@ CVXPY
 Minimize
   Sum(x, None, False)
 Subject To
- 101: [[0.0 1.0]
- [2.0 3.0]] @ x + y + Promote(1.0, (2,)) == 0.0
+ 101: [[np.float64(0.0) np.float64(1.0)]
+ [np.float64(2.0) np.float64(3.0)]] @ x + y + Promote(1.0, (2,)) == 0.0
 Bounds
  x free
  y free

tests/snapshots/all__lp_matrix9__0.txt

@@ -2,8 +2,8 @@ CVXPY
 Minimize
   Sum(x, None, False)
 Subject To
- 83: [[0.0 1.0]
- [2.0 3.0]] @ x == 1.0
+ 83: [[np.float64(0.0) np.float64(1.0)]
+ [np.float64(2.0) np.float64(3.0)]] @ x == 1.0
 Bounds
  x free
 End

tests/snapshots/all__lp_matrix_quadratic5__0.txt

@@ -1,7 +1,7 @@
 CVXPY
 Minimize
-  quad_over_lin([[2.0 0.0]
- [0.0 2.0]] @ x, 1.0)
+  quad_over_lin([[np.float64(2.0) np.float64(0.0)]
+ [np.float64(0.0) np.float64(2.0)]] @ x, 1.0)
 Subject To
 Bounds
  x free