fix(interactive): Fix typo (#4233)

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## What do these changes do?
Fix typo
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## Related issue number

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Fixes

python/graphscope/analytical/udf/patch.py

@@ -134,7 +134,7 @@ def patch_cython_codewriter(writer):  # noqa: C901
     13. Add for `visit_CascadedCmpNode` node.
         Patch for `visit_PrimaryCmpNode` node.
 
-        Examaples:
+        Examples:
         ----------
 
         >>> 5 < 6 <= 7 > 4 >= 3 > 2 != 1

python/graphscope/client/utils.py

@@ -143,7 +143,7 @@ def handle_grpc_error_with_retry(fn, retry=True):
     This function will retry max times with specific GRPC status.
     See detail in `GRPC_MAX_RETRIES_BY_CODE`.
 
-    Refer and specical thanks to:
+    Refer and special thanks to:
 
         https://github.com/googleapis/google-cloud-python/issues/2583
     """
@@ -179,7 +179,7 @@ def with_grpc_catch(*args, **kwargs):
 
 
 def handle_grpc_error(fn_or_retry):
-    """Decorator to handle grpc error, and accepts an optional arugment to control
+    """Decorator to handle grpc error, and accepts an optional argument to control
     whether the function should be retried for certain errors.
 
     This decorator can be used as

python/graphscope/deploy/hosts/cluster.py

@@ -91,7 +91,7 @@ def _launch_coordinator(self):
 
         # Param `start_new_session=True` is for putting child process to a new process group
         # so it won't get the signals from parent.
-        # In notebook environment, we need to accept the signal from kernel restarted/stoped.
+        # In notebook environment, we need to accept the signal from kernel restarted/stopped.
         process = subprocess.Popen(
             cmd,
             start_new_session=False if in_notebook() else True,

python/graphscope/framework/app.py

@@ -501,7 +501,7 @@ def load_app(gar=None, algo=None, context=None, **kwargs):
           specified path or bytes.
 
           For java apps, gar can be none to indicate we should find the app in
-          previouse added libs.
+          previous added libs.
 
     Returns:
         Instance of <graphscope.framework.app.AppAssets>

python/graphscope/framework/context.py

@@ -146,7 +146,7 @@ def to_numpy(self, selector, vertex_range=None, axis=0):
                 identical with vertices' oid type.
                 Omitting the first index starts the slice at the beginning of the vertices,
                 and omitting the second index extends the slice to the end of the vertices.
-                Note the comparision is not based on numeric order, but on alphabetic order.
+                Note the comparison is not based on numeric order, but on alphabetic order.
             axis (int): optional, default to 0.
 
         Returns:
@@ -170,7 +170,7 @@ def to_dataframe(self, selector, vertex_range=None):
                 of vertices from `m` to, but not including `n`. Type of `m`, `n` must be
                 identical with vertices' oid type.
                 Only the sub-ranges of vertices data will be retrieved.
-                Note the comparision is not based on numeric order, but on alphabetic order.
+                Note the comparison is not based on numeric order, but on alphabetic order.
 
         Returns:
             :class:`graphscope.framework.context.ResultDAGNode`:

python/graphscope/framework/dag.py

@@ -29,7 +29,7 @@
 class Dag(object):
     """Class represented as a GraphScope dataflow dag.
 
-    A :class:`Dag` is always belongs to a session and containes a set of
+    A :class:`Dag` is always belongs to a session and contains a set of
     :class:`Operation` object, which performs computations on tensors.
     """
 

python/graphscope/framework/graph_builder.py

@@ -159,11 +159,11 @@ def load_from(
         generate_eid (bool, optional): Whether to generate a unique edge id for each edge. Generated eid will be placed
             in third column. This feature is for cooperating with interactive engine.
             If you only need to work with analytical engine, set it to False. Defaults to True.
-        retain_oid (bool, optional): Whether to keep the orignal ID column as the last column of vertex table.
+        retain_oid (bool, optional): Whether to keep the original ID column as the last column of vertex table.
             This feature is for cooperating with interactive engine.
             If you only need to work with analytical engine, set it to False. Defaults to True.
         vertex_map (str, optional): Indicate use global vertex map or local vertex map. Can be "global" or "local".
-        compact_edges (bool, optional): Compact edges (CSR) using varint and delta encoding. Defaults to False.
+        compact_edges (bool, optional): Compact edges (CSR) using variant and delta encoding. Defaults to False.
             Note that compact edges helps to half the memory usage of edges in graph data structure, but may cause
             at most 10%~20% performance degeneration in some algorithms.
         use_perfect_hash (bool, optional): Use perfect hashmap in vertex map to optimize the memory usage.

python/graphscope/framework/loader.py

@@ -43,7 +43,7 @@
 
 class CSVOptions(object):
     """Options to read from CSV files.
-    Avaiable options are:
+    Available options are:
         - column delimiters
         - include a subset of columns
         - types of each columns
@@ -165,7 +165,7 @@ def __repr__(self) -> str:
         return self.__str__()
 
     def resolve(self, source):
-        """Dispatch resolver based on type of souce.
+        """Dispatch resolver based on type of source.
 
         Args:
             source: Different data sources

python/graphscope/gsctl/scripts/install_deps.sh

@@ -54,7 +54,7 @@ get_os_version() {
     OS_VERSION=$(uname -r)
   fi
   if [[ "${PLATFORM}" != *"Ubuntu"* && "${PLATFORM}" != *"CentOS"* && "${PLATFORM}" != *"Darwin"* && "${PLATFORM}" != *"Aliyun"* ]];then
-    err "Only suppport on Ubuntu/CentOS/macOS/AliyunOS platform."
+    err "Only support on Ubuntu/CentOS/macOS/AliyunOS platform."
     exit 1
   fi
   if [[ "${PLATFORM}" == *"Ubuntu"* && "${OS_VERSION:0:2}" -lt "20" ]]; then

python/graphscope/nx/algorithms/builtin.py

@@ -414,7 +414,7 @@ def all_pairs_shortest_path_length(G, weight=None):
     ----------
     G : networkx graph
 
-    weight : string (defualt=None)
+    weight : string (default=None)
        edge weights will be accessed via the edge attribute with this
        key (that is, the weight of the edge joining `u` to `v` will be
        ``G.edges[u, v][weight]``). If is None, every edge is assume to be one.

python/graphscope/nx/algorithms/tests/forward/test_isomorphism.py

@@ -60,12 +60,12 @@ class TestGenericMultiEdgeMatch():
     pass
 
 
-@pytest.mark.skip(reason="not supoort time object as attribute")
+@pytest.mark.skip(reason="not support time object as attribute")
 class TestTimeRespectingGraphMatcher(object):
     pass
 
 
-@pytest.mark.skip(reason="not supoort time object as attribute")
+@pytest.mark.skip(reason="not support time object as attribute")
 class TestDiTimeRespectingGraphMatcher(object):
     pass
 

python/graphscope/nx/algorithms/tests/forward/test_simple_paths.py

@@ -21,8 +21,8 @@ def test_shortest_simple_paths():
     )
 
 @pytest.mark.usefixtures("graphscope_session")
-@pytest.mark.skipif(nxa.__version__ < "2.5", reason="netowrkx2.4 does not support weight funtion.")
-def test_shortest_simple_paths_directed_with_weight_fucntion():
+@pytest.mark.skipif(nxa.__version__ < "2.5", reason="netowrkx2.4 does not support weight function.")
+def test_shortest_simple_paths_directed_with_weight_function():
     def cost(u, v, x):
         return 1
 

python/graphscope/nx/classes/graph.py

@@ -431,7 +431,7 @@ def session_id(self):
 
     @property
     def key(self):
-        """Key of the coresponding engine graph."""
+        """Key of the corresponding engine graph."""
         if hasattr(self, "_graph") and self._is_client_view:
             return (
                 self._graph.key

scripts/launch_cluster.py

@@ -146,7 +146,7 @@ def _get_cluster_config(self):
             default="1.21",
         )
         config["instance_type"] = click.prompt(
-            "Worker node instance type, defalut", default="t2.micro"
+            "Worker node instance type, default", default="t2.micro"
         )
         config["node_num"] = click.prompt(
             "Worker node num, default", type=int, default=4

tutorials/02_graph_manipulations_with_networkx_compatible_apis.ipynb

@@ -236,7 +236,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "list(G.edges.data())  # shows the edge arrtibutes"
+    "list(G.edges.data())  # shows the edge attributes"
    ]
   },
   {
@@ -972,7 +972,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "H = DG.to_undirected()  # return a \"deepcopy\" of undirected represetation of DG.\n",
+    "H = DG.to_undirected()  # return a \"deepcopy\" of undirected representation of DG.\n",
     "list(H.edges)"
    ]
   },
@@ -1000,7 +1000,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "K = DG.reverse()  # retrun a \"deepcopy\" of reversed copy.\n",
+    "K = DG.reverse()  # return a \"deepcopy\" of reversed copy.\n",
     "list(K.edges)"
    ]
   },

tutorials/zh/02_graph_manipulations_with_networkx_compatible_apis.ipynb

@@ -235,7 +235,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "list(G.edges.data())  # shows the edge arrtibutes"
+    "list(G.edges.data())  # shows the edge attributes"
    ]
   },
   {
@@ -962,7 +962,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "H = DG.to_undirected()  # return a \"deepcopy\" of undirected represetation of DG.\n",
+    "H = DG.to_undirected()  # return a \"deepcopy\" of undirected representation of DG.\n",
     "list(H.edges)"
    ]
   },
@@ -991,7 +991,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "K = DG.reverse()  # retrun a \"deepcopy\" of reversed copy.\n",
+    "K = DG.reverse()  # return a \"deepcopy\" of reversed copy.\n",
     "list(K.edges)"
    ]
   },

tutorials/zh/07_interactive_query_with_gremlin.ipynb

@@ -50,7 +50,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Greate GIE engine with Gremlin\n",
+    "# Create GIE engine with Gremlin\n",
     "\n",
     "interactive = graphscope.gremlin(modern_graph)"
    ]