Make import times significantly faster

Thanks @fjetter for identifying `toolz.curried.operator` as the main
culprit in dask/distributed#6659

toolz/curried/operator.py

@@ -2,22 +2,21 @@
 
 import operator
 
-from toolz.functoolz import curry, num_required_args, has_keywords
-
-
-def should_curry(f):
-    num = num_required_args(f)
-    return num is None or num > 1 or num == 1 and has_keywords(f) is not False
+from toolz.functoolz import curry
 
 
+# Tests will catch if/when this needs updated
+IGNORE = {
+    "__abs__", "__index__", "__inv__", "__invert__", "__neg__", "__not__",
+    "__pos__", "_abs", "abs", "attrgetter", "index", "inv", "invert",
+    "itemgetter", "neg", "not_", "pos", "truth"
+}
 locals().update(
-    {name: curry(f) if should_curry(f) else f
-     for name, f in vars(operator).items() if callable(f)},
+    {name: f if name in IGNORE else curry(f)
+     for name, f in vars(operator).items() if callable(f)}
 )
 
 # Clean up the namespace.
+del IGNORE
 del curry
-del num_required_args
-del has_keywords
 del operator
-del should_curry

toolz/functoolz.py

@@ -3,9 +3,7 @@
 import sys
 from operator import attrgetter, not_
 from importlib import import_module
-from textwrap import dedent
 from types import MethodType
-import sys
 
 from .utils import no_default
 
@@ -780,6 +778,8 @@ def __call__(self, *args, **kwargs):
 
     @instanceproperty(classval=__doc__)
     def __doc__(self):
+        from textwrap import dedent
+
         exc = self.exc
         try:
             if isinstance(exc, tuple):

toolz/itertoolz.py

@@ -4,7 +4,6 @@
 import operator
 from functools import partial
 from itertools import filterfalse, zip_longest
-from random import Random
 from collections.abc import Sequence
 from toolz.utils import no_default
 
@@ -1052,5 +1051,7 @@ def random_sample(prob, seq, random_state=None):
     [7, 9, 19, 25, 30, 32, 34, 48, 59, 60, 81, 98]
     """
     if not hasattr(random_state, 'random'):
+        from random import Random
+
         random_state = Random(random_state)
     return filter(lambda _: random_state.random() < prob, seq)