[CodeStyle][E713] Convert 'not ... in ' into 'not in' (#46734)

* Update README.md

* Update README.md

* Fix E713: convert 'not ... in' to 'not in'

python/paddle/distributed/fleet/launch_utils.py

@@ -1481,7 +1481,7 @@ class ParameterServerLauncher(object):
                 format(self.node_ips, self.current_node_ip, self.node_rank))
 
     def start_ps(self):
-        if not self.current_node_ip in self.node_ips:
+        if self.current_node_ip not in self.node_ips:
             return
         cluster = Cluster(hdfs=None)
         server_rank = 0

python/paddle/distributed/fleet/meta_optimizers/pipeline_optimizer.py

@@ -255,7 +255,7 @@ class PipelineOptimizer(MetaOptimizerBase):
                     if param_name in processed_param_name: continue
                     processed_param_name.add(param_name)
                     grad_name = op_role_var[i + 1]
-                    if not 'MERGED' in grad_name: grad_name += '@MERGED'
+                    if 'MERGED' not in grad_name: grad_name += '@MERGED'
                     grad = block.vars[grad_name]
                     origin_param = origin_block.vars[op_role_var[i]]
                     if origin_param.is_distributed:

python/paddle/distributed/fleet/utils/hybrid_parallel_inference.py

@@ -345,7 +345,7 @@ class HybridParallelInferenceHelper(object):
         for each_block in self._main_program.blocks:
             for op in each_block.ops:
                 for var_name in op.input_arg_names:
-                    if not var_name in params or var_name in self._param_device_map:
+                    if var_name not in params or var_name in self._param_device_map:
                         continue
                     device = op.attr(self._op_device_key)
 
@@ -404,7 +404,7 @@ class HybridParallelInferenceHelper(object):
                 block._remove_op(op_idx)
 
         for var_name in list(block.vars.keys()):
-            if not var_name in used_var_names:
+            if var_name not in used_var_names:
                 block._remove_var(var_name)
 
         return used_var_names

python/paddle/distributed/ps/utils/public.py

@@ -784,7 +784,7 @@ def union_forward_gradient_op(program_block_ops_list):
 
     block_op_list = {"forward": [], "backward": []}
     for op in program_block_ops_list[block_length // 2]:
-        if not "_grad" in op.type and not (op.type == "sum"):
+        if "_grad" not in op.type and not (op.type == "sum"):
             block_op_list["forward"].append(op)
         else:
             block_op_list["backward"].append(op)
@@ -901,7 +901,7 @@ def entrance_exit_check(program, program_block_ops_list, block_var_detail,
             if var not in previous_block_private and var not in previous_block_entrance:
                 previous_block_entrance.append(var)
             previous_block_exit.append(var)
-            if not var in current_block_entrance:
+            if var not in current_block_entrance:
                 current_block_entrance.append(var)
 
     for index in range(0, len(block_var_detail) - 1, 1):
@@ -918,7 +918,7 @@ def entrance_exit_check(program, program_block_ops_list, block_var_detail,
         need_add_vars = list(set(current_block_entrance) - set(exist_vars))
         need_ignore_vars = []
         for var in need_add_vars:
-            if not "@GRAD" in var:
+            if "@GRAD" not in var:
                 need_ignore_vars.append(var)
         need_add_vars = list(
             set(need_add_vars).difference(set(need_ignore_vars)))

python/paddle/fluid/tests/unittests/mkldnn/test_clip_mkldnn_op.py

@@ -31,9 +31,9 @@ class TestClipOneDNNOp(OpTest):
         self.adjust_op_settings()
 
         self.min = self.attrs[
-            'min'] if not 'Min' in self.inputs else self.inputs['Min']
+            'min'] if 'Min' not in self.inputs else self.inputs['Min']
         self.max = self.attrs[
-            'max'] if not 'Max' in self.inputs else self.inputs['Max']
+            'max'] if 'Max' not in self.inputs else self.inputs['Max']
 
         self.outputs = {'Out': np.clip(self.x_fp32, self.min, self.max)}
 

python/paddle/fluid/tests/unittests/test_dropout_op.py

@@ -1173,7 +1173,7 @@ class TestRandomValue(unittest.TestCase):
             return
 
         # Different GPU generate different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         print("Test Fixed Random number on V100 GPU------>")

python/paddle/fluid/tests/unittests/test_exponential_op.py

@@ -102,7 +102,7 @@ class TestExponentialAPI(unittest.TestCase):
             return
 
         # Different GPU generatte different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         print("Test Fixed Random number on V100 GPU------>")

python/paddle/fluid/tests/unittests/test_gaussian_random_op.py

@@ -353,7 +353,7 @@ class TestRandomValue(unittest.TestCase):
             return
 
         # Different GPU generatte different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         def _check_random_value(dtype, expect, expect_mean, expect_std):

python/paddle/fluid/tests/unittests/test_multinomial_op.py

@@ -250,7 +250,7 @@ class TestRandomValue(unittest.TestCase):
             return
 
         # Different GPU generatte different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         print("Test Fixed Random number on V100 GPU------>")

python/paddle/fluid/tests/unittests/test_randint_op.py

@@ -205,7 +205,7 @@ class TestRandomValue(unittest.TestCase):
             return
 
         # Different GPU generatte different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         print("Test Fixed Random number on GPU------>")

python/paddle/fluid/tests/unittests/test_uniform_random_op.py

@@ -606,7 +606,7 @@ class TestRandomValue(unittest.TestCase):
             return
 
         # Different GPU generate different random value. Only test V100 here.
-        if not "V100" in paddle.device.cuda.get_device_name():
+        if "V100" not in paddle.device.cuda.get_device_name():
             return
 
         print("Test Fixed Random number on V100 GPU------>")

python/paddle/tensor/einsum.py

@@ -411,7 +411,7 @@ def plan_matmul(plan, g_view, op1, op2, g_supports, g_shape, I, J1, J2, K):
             plan.add_step(step)
             step = squeeze, [var2], var2, [-1, -2]
             plan.add_step(step)
-        elif j1 + j2 == 0 and not -1 in np.concatenate(
+        elif j1 + j2 == 0 and -1 not in np.concatenate(
             (op1_vshape[K], op2_vshape[K])):
             assert all(op1_vshape[K] == op2_vshape[K])
             step = reshape, [

tools/count_api_without_core_ops.py

@@ -166,7 +166,7 @@ def visit_all_module(mod, func):
                 IdSet.add(instance_id)
                 visit_member(mod.__name__, instance, func)
         except:
-            if not cur_name in ErrorSet and not cur_name in skiplist:
+            if cur_name not in ErrorSet and cur_name not in skiplist:
                 ErrorSet.add(cur_name)
 
 

tools/infrt/get_compat_kernel_signature.py

@@ -38,7 +38,7 @@ def parse_compat_registry(kernel_info):
 def remove_grad_registry(kernels_registry):
     clean_kernel_registry = {}
     for registry in kernels_registry:
-        if (not "_grad" in registry):
+        if "_grad" not in registry:
             clean_kernel_registry[registry] = kernels_registry[registry]
     return clean_kernel_registry
 
@@ -47,7 +47,7 @@ def get_compat_kernels_info():
     kernels_info = {}
     compat_files = os.listdir("../../paddle/phi/ops/compat")
     for file_ in compat_files:
-        if not ".cc" in file_:
+        if ".cc" not in file_:
             compat_files.remove(file_)
 
     for file_ in compat_files:

tools/infrt/print_kernel_pass_info.py

@@ -22,7 +22,7 @@ skip_list = []
 def remove_grad_kernel(kernels):
     clean_kernels = []
     for kernel_ in kernels:
-        if (not "_grad" in kernel_):
+        if "_grad" not in kernel_:
             clean_kernels.append(kernel_)
     return clean_kernels
 
@@ -37,7 +37,7 @@ def get_compat_kernels_info(register):
     kernel_names = []
     for dirpath, dirnames, filenames in os.walk("../../paddle/fluid/operators"):
         for file_name in filenames:
-            if not ".cc" in file_name:
+            if ".cc" not in file_name:
                 continue
             with open(os.path.join(dirpath, file_name)) as f:
                 txt = f.readlines()

tools/print_signatures.py

@@ -113,7 +113,7 @@ def visit_all_module(mod):
                         .format(member_name, instance.__name__),
                         file=sys.stderr)
         except:
-            if not cur_name in ErrorSet and not cur_name in skiplist:
+            if cur_name not in ErrorSet and cur_name not in skiplist:
                 ErrorSet.add(cur_name)