[CodeStyle][Typos][L-[8-14]] Fix typos(levle,linke,lsit,lits,localy,Localy,logarithmical,Loggin)

_typos.toml

@@ -220,14 +220,6 @@ leyer = 'leyer'
 learing = 'learing'
 Leafs = 'Leafs'
 leafs = 'leafs'
-levle = 'levle'
-linke = 'linke'
-lsit = 'lsit'
-lits = 'lits'
-localy = 'localy'
-Localy = 'Localy'
-logarithmical = 'logarithmical'
-Loggin = 'Loggin'
 occured = 'occured'
 Ocurred = 'Ocurred'
 occures = 'occures'

paddle/cinn/hlir/dialect/operator/transforms/pir_to_py_code_converter.cc

@@ -1550,7 +1550,7 @@ std::optional<pir::ShapeConstraintIRAnalysis*> GetNullShapeAnalysis(
   return std::nullopt;
 }
 
-void TryTruncateLogginFile(const std::string& file_path) {
+void TryTruncateLoggingFile(const std::string& file_path) {
   if (!FLAGS_logging_trunc_pir_py_code) return;
   static std::mutex mutex;
   std::unique_lock<std::mutex> lock(mutex);
@@ -1570,7 +1570,7 @@ void PirToPyCodeConverter::SaveIfFlagEnabled() const {
   if (FLAGS_logging_pir_py_code_dir.empty()) return;
   const std::string file_path =
       FLAGS_logging_pir_py_code_dir + "/" + file_name_;
-  TryTruncateLogginFile(file_path);
+  TryTruncateLoggingFile(file_path);
   const auto MutOnceFlag = [&]() -> std::once_flag* {
     static std::mutex mutex;
     std::unique_lock<std::mutex> lock(mutex);

paddle/fluid/operators/logspace_op.cc

@@ -53,7 +53,7 @@ class LogspaceOpMaker : public framework::OpProtoAndCheckerMaker {
     AddAttr<int>("dtype", "The output data type.");
     AddOutput("Out", "A sequence of numbers.");
     AddComment(R"DOC(
-        Return fixed number of logarithmical-evenly spaced values within a given
+        Return fixed number of logarithmically-evenly spaced values within a given
         interval. First entry is exponential of Start with base Base, and last
         entry is exponential of Stop with base Base. In the case when Num is 1,
         only exponential of Start with base Base is returned. If dtype is int32

paddle/scripts/paddle_build.bat

@@ -201,7 +201,7 @@ if "%WITH_SCCACHE%"=="ON" (
     sccache --stop-server 2> NUL
     del %SCCACHE_ROOT%\sccache_log.txt
 
-    :: Localy storage on windows
+    :: Locally storage on windows
     if not exist %SCCACHE_ROOT% mkdir %SCCACHE_ROOT%
     set SCCACHE_DIR=%SCCACHE_ROOT%\.cache
 

paddle/scripts/paddle_build.sh

@@ -1162,7 +1162,7 @@ function generate_upstream_develop_api_spec() {
         echo "wget develop whl from bos! "
         mkdir -p ${PADDLE_ROOT}/build/python/dist && wget -q -P ${PADDLE_ROOT}/build/python/dist ${dev_url}
     else
-        echo "compile develop whl localy! "
+        echo "compile develop whl locally! "
         if [[ ${cmake_change} ]];then
             rm -rf ${PADDLE_ROOT}/build/third_party
         fi

python/paddle/distributed/auto_parallel/static/cluster.py

@@ -287,7 +287,7 @@ def __init__(self, source, target, topo=False):
         self._bandwidth = None
         # latency is stored by millisecond
         self._latency = None
-        # linke between mesh, machine, device
+        # linked between mesh, machine, device
         self._link_level = None
         self._hop = None
         self._topo = topo

python/paddle/jit/dy2static/convert_operators.py

@@ -725,7 +725,7 @@ def has_negative(list_shape):
     #  (1) if x.shape contains -1, such as [2, -1, 64], returns [2, var, 64],
     #      where var = paddle.shape(x)[1]
 
-    #  (2) if x.shape does not contains -1, return lsit(x.shape) directly
+    #  (2) if x.shape does not contains -1, return list(x.shape) directly
 
     if isinstance(x, (Variable, Value)):
         values = list(x.shape)

python/paddle/tensor/creation.py

@@ -499,7 +499,7 @@ def logspace(
     name: str | None = None,
 ) -> paddle.Tensor:
     r"""
-    Return fixed number of logarithmical-evenly spaced values within the interval \
+    Return fixed number of logarithmically-evenly spaced values within the interval \
     :math:`[base^{start}, base^{stop}]`.
 
     Notes:
@@ -523,7 +523,7 @@ def logspace(
 
     Returns:
         Tensor: The output data type will be float32, float64. The 1-D tensor with \
-        fixed number of logarithmical-evenly spaced values, the data shape of this \
+        fixed number of logarithmically-evenly spaced values, the data shape of this \
         tensor is :math:`[num]`. If the :attr:`num` is set 1, the output tensor \
         just has the value with exponential of :attr:`start` with base :attr:`base`.
 

test/cpp/fluid/beam_search_decode_op_test.cc

@@ -40,7 +40,7 @@ void GenerateExample(const std::vector<size_t>& level_0,
                     level_1.size() - 1,
                     common::errors::InvalidArgument(
                         "source level is used to describe candidate set"
-                        ", so it's element should less than levle_1 length. "
+                        ", so it's element should less than level_1 length. "
                         "And the value of source"
                         "level is %d. ",
                         level_1.size() - 1));

test/dygraph_to_static/test_declarative.py

@@ -163,7 +163,7 @@ def test_with_input_spec(self):
         # 6. test input with dict
         out = net.func_with_dict({'x': x, 'y': y})
 
-        # 7. test input with lits contains dict
+        # 7. test input with list contains dict
         int_np = np.ones([1]).astype('float32')
         out = net.func_with_list_dict([int_np, {'x': x, 'y': y}])
 

test/xpu/cpp/beam_search_decode_op_xpu_test.cc

@@ -43,7 +43,7 @@ void GenerateXPUExample(const std::vector<size_t>& level_0,
                     level_1.size() - 1,
                     common::errors::InvalidArgument(
                         "source level is used to describe candidate set"
-                        ", so it's element should less than levle_1 length. "
+                        ", so it's element should less than level_1 length. "
                         "And the value of source"
                         "level is %d. ",
                         level_1.size() - 1));