Fix some typos (repeated words and it's/its) (#7063)

docs/errors/usage_errors.md

@@ -903,7 +903,7 @@ except PydanticUserError as exc_info:
 ## `config` is unused with TypeAdapter {#type-adapter-config-unused}
 
 You will get this error if you try to pass `config` to `TypeAdapter` when the type is a type that
-has it's own config that cannot be overridden (currently this is only `BaseModel`, `TypedDict` and `dataclass`):
+has its own config that cannot be overridden (currently this is only `BaseModel`, `TypedDict` and `dataclass`):
 
 ```py
 from typing_extensions import TypedDict

docs/integrations/mypy.md

@@ -58,7 +58,7 @@ mypy \
 
 ### Strict Optional
 
-For your code to pass with `--strict-optional`, you need to to use `Optional[]` or an alias of `Optional[]`
+For your code to pass with `--strict-optional`, you need to use `Optional[]` or an alias of `Optional[]`
 for all fields with `None` as the default. (This is standard with mypy.)
 
 ### Other Pydantic interfaces

docs/integrations/visual_studio_code.md

@@ -164,7 +164,7 @@ that way Pylance and mypy will ignore errors in that line.
 
 #### Override the type of a variable
 
-You can also create a variable with the value you want to use and declare it's type explicitly with `Any`.
+You can also create a variable with the value you want to use and declare its type explicitly with `Any`.
 
 ```Python hl_lines="1 11-12"
 from typing import Any

docs/usage/model_config.md

@@ -244,7 +244,7 @@ print(user)
 #> name='John Doe'
 ```
 
-1. This is the the default behaviour.
+1. This is the default behaviour.
 2. The `age` argument is ignored.
 
 Instead, with `extra='allow'`, the `age` argument is included:

pydantic/_internal/_annotated_handlers.py

@@ -83,7 +83,7 @@ def generate_schema(self, __source_type: Any) -> core_schema.CoreSchema:
         Use this function if e.g. you are handling schema generation for a sequence
         and want to generate a schema for its items.
         Otherwise, you may end up doing something like applying a `min_length` constraint
-        that was intended for the sequence itself to it's items!
+        that was intended for the sequence itself to its items!
 
         Args:
             __source_type: The input type.

pydantic/_internal/_fields.py

@@ -32,7 +32,7 @@ def get_type_hints_infer_globalns(
     global namespace from `obj.__module__` if it is not `None`.
 
     Args:
-        obj: The object to get it's type hints.
+        obj: The object to get its type hints.
         localns: The local namespaces.
         include_extras: Whether to recursively include annotation metadata.
 

pydantic/_internal/_generate_schema.py

@@ -1964,7 +1964,7 @@ def _extract_get_pydantic_json_schema(tp: Any, schema: CoreSchema) -> GetJsonSch
                 code='custom-json-schema',
             )
 
-    # handle GenericAlias' but ignore Annotated which "lies" about it's origin (in this case it would be `int`)
+    # handle GenericAlias' but ignore Annotated which "lies" about its origin (in this case it would be `int`)
     if hasattr(tp, '__origin__') and not isinstance(tp, type(Annotated[int, 'placeholder'])):
         return _extract_get_pydantic_json_schema(tp.__origin__, schema)
 

pydantic/v1/datetime_parse.py

@@ -147,7 +147,7 @@ def parse_time(value: Union[time, StrBytesIntFloat]) -> time:
     number = get_numeric(value, 'time')
     if number is not None:
         if number >= 86400:
-            # doesn't make sense since the time time loop back around to 0
+            # doesn't make sense since the time loop back around to 0
             raise errors.TimeError()
         return (datetime.min + timedelta(seconds=number)).time()
 

pydantic/v1/fields.py

@@ -263,7 +263,7 @@ def Field(
       Takes same values as the ``include`` and ``exclude`` arguments on the ``.dict`` method.
     :param include: include this field while dumping.
       Takes same values as the ``include`` and ``exclude`` arguments on the ``.dict`` method.
-    :param const: this field is required and *must* take it's default value
+    :param const: this field is required and *must* take its default value
     :param gt: only applies to numbers, requires the field to be "greater than". The schema
       will have an ``exclusiveMinimum`` validation keyword
     :param ge: only applies to numbers, requires the field to be "greater than or equal to". The

pyproject.toml

@@ -118,7 +118,7 @@ memray = [
 ]
 
 [tool.pdm.resolution.overrides]
-# requires Python > 3.8, we only test with 3.8 in CI but because of it it won't lock properly
+# requires Python > 3.8, we only test with 3.8 in CI but because of it won't lock properly
 pytest-memray = "1.4.0"
 
 [project.urls]

tests/test_json.py

@@ -449,7 +449,7 @@ class Model(BaseModel):
 
 def test_json_encoders_on_model() -> None:
     """Make sure that applying json_encoders to a BaseModel
-    does not edit it's schema in place.
+    does not edit its schema in place.
     """
 
     class Model(BaseModel):

tests/test_root_model.py

@@ -45,7 +45,7 @@ class InnerModel(BaseModel):
 
 def check_schema(schema: CoreSchema) -> None:
     # we assume the shape of the core schema here, which is not a guarantee
-    # pydantic makes to it's users but is useful to check here to make sure
+    # pydantic makes to its users but is useful to check here to make sure
     # we are doing the right thing internally
     assert schema['type'] == 'definitions'
     inner = schema['schema']