MAINT/DOC: Use builtin when np.{x} is builtins.{x}.

This is the case for x in {int, bool, str, float, complex, object}.
Using the np.{x} version is deceptive as it suggests that there is a
difference. This change doesn't affect any external behaviour. The
`long` type is missing in python 3, so np.long is still useful

3 files changed, 4 insertions, 4 deletions

diff --git a/benchmarks/benchmarks/bench_core.py b/benchmarks/benchmarks/bench_core.py
index a0de81054..26cffcab1 100644
--- a/benchmarks/benchmarks/bench_core.py
+++ b/benchmarks/benchmarks/bench_core.py
@@ -139,7 +139,7 @@ class CountNonzero(Benchmark):
 
 class PackBits(Benchmark):
     param_names = ['dtype']
-    params = [[np.bool, np.uintp]]
+    params = [[bool, np.uintp]]
     def setup(self, dtype):
         self.d = np.ones(10000, dtype=dtype)
         self.d2 = np.ones((200, 1000), dtype=dtype)
diff --git a/benchmarks/benchmarks/bench_reduce.py b/benchmarks/benchmarks/bench_reduce.py
index 704023528..353eb980c 100644
--- a/benchmarks/benchmarks/bench_reduce.py
+++ b/benchmarks/benchmarks/bench_reduce.py
@@ -29,8 +29,8 @@ class AddReduceSeparate(Benchmark):
 
 class AnyAll(Benchmark):
     def setup(self):
-        self.zeros = np.zeros(100000, np.bool)
-        self.ones = np.ones(100000, np.bool)
+        self.zeros = np.zeros(100000, bool)
+        self.ones = np.ones(100000, bool)
 
     def time_all_fast(self):
         self.zeros.all()
diff --git a/benchmarks/benchmarks/bench_ufunc.py b/benchmarks/benchmarks/bench_ufunc.py
index 1baee1340..8f7d638b5 100644
--- a/benchmarks/benchmarks/bench_ufunc.py
+++ b/benchmarks/benchmarks/bench_ufunc.py
@@ -62,7 +62,7 @@ class UFunc(Benchmark):
 
 class Custom(Benchmark):
     def setup(self):
-        self.b = np.ones(20000, dtype=np.bool)
+        self.b = np.ones(20000, dtype=bool)
 
     def time_nonzero(self):
         np.nonzero(self.b)