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[CodeStyle][Ruff][BUAA][G-[201-208]] Fix ruff RUF005 diagnostic for 8 files in python/test/legacy_test/ #67122

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merged 3 commits into from
Aug 8, 2024
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[CodeStyle][Ruff][BUAA][G-[201-208]] Fix ruff RUF005 diagnostic for 8 files in python/test/legacy_test/ #67122

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244bfde
updata G.201-208
tlxd Aug 7, 2024
34f01cb
update test_cross_entropy_op.py
tlxd Aug 7, 2024
d5352d6
Update test/legacy_test/test_crf_decoding_op.py
gouzil Aug 7, 2024
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2 changes: 1 addition & 1 deletion test/legacy_test/test_crf_decoding_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -192,7 +192,7 @@ def init_lod(self):

def seq_pad(data, length):
max_len = np.max(length)
shape = [len(length), max_len] + list(data.shape[1:])
shape = [len(length), max_len, *data.shape[1:]]
padded = np.zeros(shape).astype(data.dtype)
offset = 0
for i, l in enumerate(length):
Expand Down
18 changes: 9 additions & 9 deletions test/legacy_test/test_cross_entropy_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -179,13 +179,13 @@ def init_x(self):
self.X_2d = randomize_probability(self.ins_num, self.class_num).astype(
self.dtype
)
self.x = self.X_2d.reshape(self.shape + [self.class_num])
self.x = self.X_2d.reshape([*self.shape, self.class_num])

def init_label(self):
self.label_2d = np.random.randint(
0, self.class_num, (self.ins_num, 1), dtype="int64"
)
self.label = self.label_2d.reshape(self.shape + [1])
self.label = self.label_2d.reshape([*self.shape, 1])

def get_cross_entropy(self):
cross_entropy_2d = np.array(
Expand All @@ -195,7 +195,7 @@ def get_cross_entropy(self):
]
).astype(self.dtype)
self.cross_entropy = np.array(cross_entropy_2d).reshape(
self.shape + [1]
[*self.shape, 1]
)

def init_attr_type(self):
Expand Down Expand Up @@ -236,14 +236,14 @@ def init_x(self):
self.X_2d = randomize_probability(self.ins_num, self.class_num).astype(
self.dtype
)
self.x = self.X_2d.reshape(self.shape + [self.class_num])
self.x = self.X_2d.reshape([*self.shape, self.class_num])

def init_label(self):
self.label_2d = np.random.uniform(
0.1, 1.0, [self.ins_num, self.class_num]
).astype(self.dtype)
self.label_2d /= self.label_2d.sum(axis=1, keepdims=True)
self.label = self.label_2d.reshape(self.shape + [self.class_num])
self.label = self.label_2d.reshape([*self.shape, self.class_num])

def get_cross_entropy(self):
cross_entropy_2d = (
Expand All @@ -252,7 +252,7 @@ def get_cross_entropy(self):
.astype(self.dtype)
)
self.cross_entropy = np.array(cross_entropy_2d).reshape(
self.shape + [1]
[*self.shape, 1]
)

def init_attr_type(self):
Expand All @@ -279,15 +279,15 @@ def init_x(self):
self.X_2d = randomize_probability(self.ins_num, self.class_num).astype(
self.dtype
)
self.x = self.X_2d.reshape(self.shape + [self.class_num])
self.x = self.X_2d.reshape([*self.shape, self.class_num])

def init_label(self):
self.label_index_2d = np.random.randint(
0, self.class_num, (self.ins_num), dtype="int64"
)
label_2d = np.zeros(self.X_2d.shape)
label_2d[np.arange(self.ins_num), self.label_index_2d] = 1
self.label = label_2d.reshape(self.shape + [self.class_num]).astype(
self.label = label_2d.reshape([*self.shape, self.class_num]).astype(
self.dtype
)

Expand All @@ -300,7 +300,7 @@ def get_cross_entropy(self):
)
self.cross_entropy = (
np.array(cross_entropy_2d)
.reshape(self.shape + [1])
.reshape([*self.shape, 1])
.astype(self.dtype)
)

Expand Down
111 changes: 63 additions & 48 deletions test/legacy_test/test_dataset_consistency_inspection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,14 +163,16 @@ def reader():
pos_context_fea = pos_context_feas[p]
yield zip(
feature_name,
[[1]]
+ sparse_query_feature
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea,
[
[1],
*sparse_query_feature,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
],
)
for n in range(len(neg_url_feas)):
feature_name = ["click"]
Expand All @@ -181,14 +183,16 @@ def reader():
neg_context_fea = neg_context_feas[n]
yield zip(
feature_name,
[[0]]
+ sparse_query_feature
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea,
[
[0],
*sparse_query_feature,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
],
)
elif self.test == 0:
for p in range(len(pos_url_feas)):
Expand All @@ -215,14 +219,16 @@ def reader():
yield list(
zip(
feature_name,
[[1]]
+ sparse_query_feature
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea,
[
[1],
*sparse_query_feature,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
],
)
)
elif self.test == 2:
Expand Down Expand Up @@ -250,14 +256,17 @@ def reader():
yield list(
zip(
feature_name,
[[1], [2]]
+ sparse_query_feature
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea,
[
[1],
[2],
*sparse_query_feature,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
],
)
)
elif self.test == 3:
Expand Down Expand Up @@ -285,14 +294,17 @@ def reader():
yield list(
zip(
feature_name,
[[1], [2.0]]
+ sparse_query_feature
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea,
[
[1],
[2.0],
*sparse_query_feature,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
],
)
)
elif self.test == 4:
Expand Down Expand Up @@ -320,14 +332,17 @@ def reader():
yield list(
zip(
feature_name,
[[], [2.0]]
+ sparse_query_feature
+ pos_url_fea
+ pos_click_fea
+ pos_context_fea
+ neg_url_fea
+ neg_click_fea
+ neg_context_fea,
[
[],
[2.0],
*sparse_query_feature,
*pos_url_fea,
*pos_click_fea,
*pos_context_fea,
*neg_url_fea,
*neg_click_fea,
*neg_context_fea,
],
)
)
elif self.test == 5:
Expand Down
11 changes: 7 additions & 4 deletions test/legacy_test/test_deform_conv2d.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ def prepare(self):
self.weight = np.random.uniform(
-1,
1,
(self.out_channels, self.in_channels // self.groups) + filter_shape,
(self.out_channels, self.in_channels // self.groups, *filter_shape),
).astype(self.dtype)
if not self.no_bias:
self.bias = np.random.uniform(-1, 1, (self.out_channels,)).astype(
Expand Down Expand Up @@ -87,17 +87,20 @@ def out_size(
self.input_shape = (
self.batch_size,
self.in_channels,
) + self.spatial_shape
*self.spatial_shape,
)

self.offset_shape = (
self.batch_size,
self.deformable_groups * 2 * filter_shape[0] * filter_shape[1],
) + out_shape
*out_shape,
)

self.mask_shape = (
self.batch_size,
self.deformable_groups * filter_shape[0] * filter_shape[1],
) + out_shape
*out_shape,
)

self.input = np.random.uniform(-1, 1, self.input_shape).astype(
self.dtype
Expand Down
4 changes: 2 additions & 2 deletions test/legacy_test/test_detection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -180,7 +180,7 @@ def static_distribute_fpn_proposals(self, rois_np, rois_num_np):
refer_scale=224,
rois_num=rois_num,
)
fetch_list = multi_rois + [restore_ind] + rois_num_per_level
fetch_list = [*multi_rois, restore_ind, *rois_num_per_level]
output_stat = self.get_static_graph_result(
feed={'rois': rois_np, 'rois_num': rois_num_np},
fetch_list=fetch_list,
Expand Down Expand Up @@ -210,7 +210,7 @@ def dynamic_distribute_fpn_proposals(self, rois_np, rois_num_np):
rois_num=rois_num_dy,
)
print(type(multi_rois_dy))
output_dy = multi_rois_dy + [restore_ind_dy] + rois_num_per_level_dy
output_dy = [*multi_rois_dy, restore_ind_dy, *rois_num_per_level_dy]
output_dy_np = []
for output in output_dy:
output_np = output.numpy()
Expand Down
4 changes: 2 additions & 2 deletions test/legacy_test/test_distribute_fpn_proposals_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -220,7 +220,7 @@ def test_dygraph_with_static(self):
refer_scale=224,
rois_num=rois_num,
)
fetch_list = multi_rois + [restore_ind] + rois_num_per_level
fetch_list = [*multi_rois, restore_ind, *rois_num_per_level]

exe = paddle.static.Executor()
output_stat = exe.run(
Expand Down Expand Up @@ -250,7 +250,7 @@ def test_dygraph_with_static(self):
refer_scale=224,
rois_num=rois_num_dy,
)
output_dy = multi_rois_dy + [restore_ind_dy] + rois_num_per_level_dy
output_dy = [*multi_rois_dy, restore_ind_dy, *rois_num_per_level_dy]
output_dy_np = []
for output in output_dy:
output_np = output.numpy()
Expand Down
2 changes: 1 addition & 1 deletion test/legacy_test/test_dygraph_spectral_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ def set_data(self):
data_name = desc[0]
data_shape = desc[1]
data_value = np.random.random(
size=[self.batch_size] + data_shape
size=[self.batch_size, *data_shape]
).astype('float32')
self.data[data_name] = data_value

Expand Down
2 changes: 1 addition & 1 deletion test/legacy_test/test_dygraph_weight_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def set_data(self):
data_name = desc[0]
data_shape = desc[1]
data_value = np.random.random(
size=[self.batch_size] + data_shape
size=[self.batch_size, *data_shape]
).astype('float32')
self.data[data_name] = data_value

Expand Down