[Fix] Fix doctest (#821)

* fix(test=document_fix)

* pretty evaluation output with prettytable

* fix code failed in doctest

* Revert "Merge branch 'pretty_eval_output' into develop"

This reverts commit 66cded1, reversing
changes made to da865dd.

* skip mesh example code in geometry/mesh.py for requiring pymesh installtion

* skip more code for doctest

Author: HydrogenSulfate

ppsci/arch/amgnet.py

@@ -579,7 +579,9 @@ class AMGNet(nn.Layer):
 
     Examples:
         >>> import ppsci
-        >>> model = ppsci.arch.AMGNet(("input", ), ("pred", ), 5, 3, 64, 2)
+        >>> model = ppsci.arch.AMGNet(
+        ...     ("input", ), ("pred", ), 5, 3, 64, 2, "sum", 6, "norm",
+        ... )
     """
 
     def __init__(

ppsci/arch/chip_deeponets.py

@@ -60,7 +60,7 @@ class ChipDeepONets(base.Arch):
 
     Examples:
         >>> import ppsci
-        >>> model = ppsci.arch.ChipDeepONet(
+        >>> model = ppsci.arch.ChipDeepONets(
         ...     ('u',),
         ...     ('bc',),
         ...     ('bc_data',),

ppsci/arch/epnn.py

@@ -65,12 +65,12 @@ class Epnn(base.Arch):
 
     Examples:
         >>> import ppsci
-        >>> ann_node_sizes_state = [1]
+        >>> ann_node_sizes_state = [1, 20]
         >>> model = ppsci.arch.Epnn(
         ...     ("x",),
         ...     ("y",),
         ...     node_sizes=ann_node_sizes_state,
-        ...     activations=("leaky_relu"),
+        ...     activations=("leaky_relu",),
         ...     drop_p=0.0,
         ... )
     """
@@ -84,7 +84,9 @@ def __init__(
         drop_p: float,
     ):
         super().__init__()
-        self.active_func = [act_mod.get_activation(i) for i in activations]
+        self.active_func = [
+            act_mod.get_activation(act_name) for act_name in activations
+        ]
         self.node_sizes = node_sizes
         self.drop_p = drop_p
         self.layers = []

ppsci/arch/he_deeponets.py

@@ -52,7 +52,7 @@ class HEDeepONets(base.Arch):
 
     Examples:
         >>> import ppsci
-        >>> model = ppsci.arch.HEDeepONet(
+        >>> model = ppsci.arch.HEDeepONets(
         ...     ('qm_h',),
         ...     ('qm_c',),
         ...     ("x",'t'),

ppsci/constraint/boundary_constraint.py

@@ -69,7 +69,7 @@ class BoundaryConstraint(base.Constraint):
         ...     },
         ...     ppsci.loss.MSELoss("mean"),
         ...     name="BC",
-        ... )
+        ... ) # doctest: +SKIP
     """
 
     def __init__(

ppsci/constraint/initial_constraint.py

@@ -74,7 +74,7 @@ class InitialConstraint(base.Constraint):
         ...     },
         ...     ppsci.loss.MSELoss("mean"),
         ...     name="IC",
-        ... )
+        ... ) # doctest: +SKIP
     """
 
     def __init__(

ppsci/constraint/integral_constraint.py

@@ -71,7 +71,7 @@ class IntegralConstraint(base.Constraint):
         ...     },
         ...     ppsci.loss.MSELoss("mean"),
         ...     name="IgC",
-        ... )
+        ... ) # doctest: +SKIP
     """
 
     def __init__(

ppsci/constraint/interior_constraint.py

@@ -71,7 +71,7 @@ class InteriorConstraint(base.Constraint):
         ...     },
         ...     ppsci.loss.MSELoss("mean"),
         ...     name="EQ",
-        ... )
+        ... ) # doctest: +SKIP
     """
 
     def __init__(

ppsci/data/dataset/era5_dataset.py

@@ -175,10 +175,10 @@ class ERA5SampledDataset(io.Dataset):
         ...     "label_keys": ("output",),
         ... )  # doctest: +SKIP
         >>> # get the length of the dataset
-        >>> dataset_size = len(dataset)
+        >>> dataset_size = len(dataset)  # doctest: +SKIP
         >>> # get the first sample of the data
-        >>> first_sample = dataset[0]
-        >>> print("First sample:", first_sample)
+        >>> first_sample = dataset[0]  # doctest: +SKIP
+        >>> print("First sample:", first_sample)  # doctest: +SKIP
     """
 
     def __init__(

ppsci/data/dataset/mrms_dataset.py

@@ -187,10 +187,10 @@ class MRMSSampledDataset(io.Dataset):
         ...     "num_total_timestamps": 29,
         ... )  # doctest: +SKIP
         >>> # get the length of the dataset
-        >>> dataset_size = len(dataset)
+        >>> dataset_size = len(dataset)  # doctest: +SKIP
         >>> # get the first sample of the data
-        >>> first_sample = dataset[0]
-        >>> print("First sample:", first_sample)
+        >>> first_sample = dataset[0]  # doctest: +SKIP
+        >>> print("First sample:", first_sample)  # doctest: +SKIP
     """
 
     def __init__(