fix: statisitcs -> statistics

deepmd/dpmodel/descriptor/hybrid.py

@@ -245,7 +245,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/dpmodel/descriptor/make_base_descriptor.py

@@ -162,7 +162,7 @@ def enable_compression(
             table_stride_2: float = 0.1,
             check_frequency: int = -1,
         ) -> None:
-            """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+            """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
             Parameters
             ----------

deepmd/pd/model/descriptor/dpa1.py

@@ -600,7 +600,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pd/model/descriptor/se_a.py

@@ -264,7 +264,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pt/model/descriptor/dpa1.py

@@ -579,7 +579,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pt/model/descriptor/hybrid.py

@@ -237,7 +237,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pt/model/descriptor/se_a.py

@@ -262,7 +262,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pt/model/descriptor/se_r.py

@@ -364,7 +364,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/pt/model/descriptor/se_t.py

@@ -289,7 +289,7 @@ def enable_compression(
         table_stride_2: float = 0.1,
         check_frequency: int = -1,
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/tf/descriptor/descriptor.py

@@ -140,7 +140,7 @@ def compute_input_stats(
         input_dict: dict[str, list[np.ndarray]],
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be
+        """Compute the statistics (avg and std) of the training data. The input will be
         normalized by the statistics.
 
         Parameters
@@ -228,7 +228,7 @@ def enable_compression(
         check_frequency: int = -1,
         suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the
         training data.
 
         Parameters

deepmd/tf/descriptor/hybrid.py

@@ -144,7 +144,7 @@ def compute_input_stats(
         real_natoms_vec: list | None = None,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------
@@ -183,22 +183,22 @@ def compute_input_stats(
             )
 
     def merge_input_stats(self, stat_dict: dict[str, float]) -> None:
-        """Merge the statisitcs computed from compute_input_stats to obtain the self.davg and self.dstd.
+        """Merge the statistics computed from compute_input_stats to obtain the self.davg and self.dstd.
 
         Parameters
         ----------
         stat_dict
-                The dict of statisitcs computed from compute_input_stats, including:
+                The dict of statistics computed from compute_input_stats, including:
             sumr
-                    The sum of radial statisitcs.
+                    The sum of radial statistics.
             suma
-                    The sum of relative coord statisitcs.
+                    The sum of relative coord statistics.
             sumn
                     The sum of neighbor numbers.
             sumr2
-                    The sum of square of radial statisitcs.
+                    The sum of square of radial statistics.
             suma2
-                    The sum of square of relative coord statisitcs.
+                    The sum of square of relative coord statistics.
         """
         for ii in self.descrpt_list:
             ii.merge_input_stats(stat_dict)
@@ -315,7 +315,7 @@ def enable_compression(
         check_frequency: int = -1,
         suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the
         training data.
 
         Parameters

deepmd/tf/descriptor/loc_frame.py

@@ -164,7 +164,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_a.py

@@ -355,7 +355,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------
@@ -401,22 +401,22 @@ def compute_input_stats(
             self.merge_input_stats(stat_dict)
 
     def merge_input_stats(self, stat_dict: dict[str, Any]) -> None:
-        """Merge the statisitcs computed from compute_input_stats to obtain the self.davg and self.dstd.
+        """Merge the statistics computed from compute_input_stats to obtain the self.davg and self.dstd.
 
         Parameters
         ----------
         stat_dict
-                The dict of statisitcs computed from compute_input_stats, including:
+                The dict of statistics computed from compute_input_stats, including:
             sumr
-                    The sum of radial statisitcs.
+                    The sum of radial statistics.
             suma
-                    The sum of relative coord statisitcs.
+                    The sum of relative coord statistics.
             sumn
                     The sum of neighbor numbers.
             sumr2
-                    The sum of square of radial statisitcs.
+                    The sum of square of radial statistics.
             suma2
-                    The sum of square of relative coord statisitcs.
+                    The sum of square of relative coord statistics.
         """
         all_davg = []
         all_dstd = []
@@ -452,7 +452,7 @@ def enable_compression(
         check_frequency: int = -1,
         suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_a_ef.py

@@ -176,7 +176,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_a_mask.py

@@ -234,7 +234,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_atten.py

@@ -347,7 +347,7 @@ def compute_input_stats(
         real_natoms_vec: list | None = None,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------
@@ -432,7 +432,7 @@ def enable_compression(
         suffix: str = "",
         tebd_suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------
@@ -2362,7 +2362,7 @@ def enable_compression(
         suffix: str = "",
         tebd_suffix: str = "",
     ) -> None:
-        """Reveive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_r.py

@@ -255,7 +255,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------
@@ -288,18 +288,18 @@ def compute_input_stats(
         self.merge_input_stats(stat_dict)
 
     def merge_input_stats(self, stat_dict: dict[str, Any]) -> None:
-        """Merge the statisitcs computed from compute_input_stats to obtain the self.davg and self.dstd.
+        """Merge the statistics computed from compute_input_stats to obtain the self.davg and self.dstd.
 
         Parameters
         ----------
         stat_dict
-                The dict of statisitcs computed from compute_input_stats, including:
+                The dict of statistics computed from compute_input_stats, including:
             sumr
-                    The sum of radial statisitcs.
+                    The sum of radial statistics.
             sumn
                     The sum of neighbor numbers.
             sumr2
-                    The sum of square of radial statisitcs.
+                    The sum of square of radial statistics.
         """
         all_davg = []
         all_dstd = []
@@ -329,7 +329,7 @@ def enable_compression(
         check_frequency: int = -1,
         suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------

deepmd/tf/descriptor/se_t.py

@@ -238,7 +238,7 @@ def compute_input_stats(
         input_dict: dict,
         **kwargs: Any,
     ) -> None:
-        """Compute the statisitcs (avg and std) of the training data. The input will be normalized by the statistics.
+        """Compute the statistics (avg and std) of the training data. The input will be normalized by the statistics.
 
         Parameters
         ----------
@@ -284,22 +284,22 @@ def compute_input_stats(
             self.merge_input_stats(stat_dict)
 
     def merge_input_stats(self, stat_dict: dict[str, Any]) -> None:
-        """Merge the statisitcs computed from compute_input_stats to obtain the self.davg and self.dstd.
+        """Merge the statistics computed from compute_input_stats to obtain the self.davg and self.dstd.
 
         Parameters
         ----------
         stat_dict
-                The dict of statisitcs computed from compute_input_stats, including:
+                The dict of statistics computed from compute_input_stats, including:
             sumr
-                    The sum of radial statisitcs.
+                    The sum of radial statistics.
             suma
-                    The sum of relative coord statisitcs.
+                    The sum of relative coord statistics.
             sumn
                     The sum of neighbor numbers.
             sumr2
-                    The sum of square of radial statisitcs.
+                    The sum of square of radial statistics.
             suma2
-                    The sum of square of relative coord statisitcs.
+                    The sum of square of relative coord statistics.
         """
         all_davg = []
         all_dstd = []
@@ -335,7 +335,7 @@ def enable_compression(
         check_frequency: int = -1,
         suffix: str = "",
     ) -> None:
-        """Receive the statisitcs (distance, max_nbor_size and env_mat_range) of the training data.
+        """Receive the statistics (distance, max_nbor_size and env_mat_range) of the training data.
 
         Parameters
         ----------