Restoring authorship annotation for <shadchin@yandex-team.ru>. Commit 1 of 2.

1 files changed, 187 insertions, 187 deletions

diff --git a/contrib/python/prompt-toolkit/py3/prompt_toolkit/auto_suggest.py b/contrib/python/prompt-toolkit/py3/prompt_toolkit/auto_suggest.py
index 7099b8e974..84b015d708 100644
--- a/contrib/python/prompt-toolkit/py3/prompt_toolkit/auto_suggest.py
+++ b/contrib/python/prompt-toolkit/py3/prompt_toolkit/auto_suggest.py
@@ -1,187 +1,187 @@
-"""
-`Fish-style <http://fishshell.com/>`_  like auto-suggestion.
-
-While a user types input in a certain buffer, suggestions are generated
-(asynchronously.) Usually, they are displayed after the input. When the cursor
-presses the right arrow and the cursor is at the end of the input, the
-suggestion will be inserted.
-
-If you want the auto suggestions to be asynchronous (in a background thread),
-because they take too much time, and could potentially block the event loop,
-then wrap the :class:`.AutoSuggest` instance into a
-:class:`.ThreadedAutoSuggest`.
-"""
-from abc import ABCMeta, abstractmethod
-from typing import TYPE_CHECKING, Callable, Optional, Union
-
-from prompt_toolkit.eventloop import run_in_executor_with_context
-
-from .document import Document
-from .filters import Filter, to_filter
-
-if TYPE_CHECKING:
-    from .buffer import Buffer
-
-__all__ = [
-    "Suggestion",
-    "AutoSuggest",
-    "ThreadedAutoSuggest",
-    "DummyAutoSuggest",
-    "AutoSuggestFromHistory",
-    "ConditionalAutoSuggest",
-    "DynamicAutoSuggest",
-]
-
-
-class Suggestion:
-    """
-    Suggestion returned by an auto-suggest algorithm.
-
-    :param text: The suggestion text.
-    """
-
-    def __init__(self, text: str) -> None:
-        self.text = text
-
-    def __repr__(self) -> str:
-        return "Suggestion(%s)" % self.text
-
-
-class AutoSuggest(metaclass=ABCMeta):
-    """
-    Base class for auto suggestion implementations.
-    """
-
-    @abstractmethod
-    def get_suggestion(
-        self, buffer: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        """
-        Return `None` or a :class:`.Suggestion` instance.
-
-        We receive both :class:`~prompt_toolkit.buffer.Buffer` and
-        :class:`~prompt_toolkit.document.Document`. The reason is that auto
-        suggestions are retrieved asynchronously. (Like completions.) The
-        buffer text could be changed in the meantime, but ``document`` contains
-        the buffer document like it was at the start of the auto suggestion
-        call. So, from here, don't access ``buffer.text``, but use
-        ``document.text`` instead.
-
-        :param buffer: The :class:`~prompt_toolkit.buffer.Buffer` instance.
-        :param document: The :class:`~prompt_toolkit.document.Document` instance.
-        """
-
-    async def get_suggestion_async(
-        self, buff: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        """
-        Return a :class:`.Future` which is set when the suggestions are ready.
-        This function can be overloaded in order to provide an asynchronous
-        implementation.
-        """
-        return self.get_suggestion(buff, document)
-
-
-class ThreadedAutoSuggest(AutoSuggest):
-    """
-    Wrapper that runs auto suggestions in a thread.
-    (Use this to prevent the user interface from becoming unresponsive if the
-    generation of suggestions takes too much time.)
-    """
-
-    def __init__(self, auto_suggest: AutoSuggest) -> None:
-        self.auto_suggest = auto_suggest
-
-    def get_suggestion(
-        self, buff: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        return self.auto_suggest.get_suggestion(buff, document)
-
-    async def get_suggestion_async(
-        self, buff: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        """
-        Run the `get_suggestion` function in a thread.
-        """
-
-        def run_get_suggestion_thread() -> Optional[Suggestion]:
-            return self.get_suggestion(buff, document)
-
-        return await run_in_executor_with_context(run_get_suggestion_thread)
-
-
-class DummyAutoSuggest(AutoSuggest):
-    """
-    AutoSuggest class that doesn't return any suggestion.
-    """
-
-    def get_suggestion(
-        self, buffer: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        return None  # No suggestion
-
-
-class AutoSuggestFromHistory(AutoSuggest):
-    """
-    Give suggestions based on the lines in the history.
-    """
-
-    def get_suggestion(
-        self, buffer: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        history = buffer.history
-
-        # Consider only the last line for the suggestion.
-        text = document.text.rsplit("\n", 1)[-1]
-
-        # Only create a suggestion when this is not an empty line.
-        if text.strip():
-            # Find first matching line in history.
-            for string in reversed(list(history.get_strings())):
-                for line in reversed(string.splitlines()):
-                    if line.startswith(text):
-                        return Suggestion(line[len(text) :])
-
-        return None
-
-
-class ConditionalAutoSuggest(AutoSuggest):
-    """
-    Auto suggest that can be turned on and of according to a certain condition.
-    """
-
-    def __init__(self, auto_suggest: AutoSuggest, filter: Union[bool, Filter]) -> None:
-
-        self.auto_suggest = auto_suggest
-        self.filter = to_filter(filter)
-
-    def get_suggestion(
-        self, buffer: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        if self.filter():
-            return self.auto_suggest.get_suggestion(buffer, document)
-
-        return None
-
-
-class DynamicAutoSuggest(AutoSuggest):
-    """
-    Validator class that can dynamically returns any Validator.
-
-    :param get_validator: Callable that returns a :class:`.Validator` instance.
-    """
-
-    def __init__(self, get_auto_suggest: Callable[[], Optional[AutoSuggest]]) -> None:
-        self.get_auto_suggest = get_auto_suggest
-
-    def get_suggestion(
-        self, buff: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        auto_suggest = self.get_auto_suggest() or DummyAutoSuggest()
-        return auto_suggest.get_suggestion(buff, document)
-
-    async def get_suggestion_async(
-        self, buff: "Buffer", document: Document
-    ) -> Optional[Suggestion]:
-        auto_suggest = self.get_auto_suggest() or DummyAutoSuggest()
-        return await auto_suggest.get_suggestion_async(buff, document)
+""" 
+`Fish-style <http://fishshell.com/>`_  like auto-suggestion. 
+ 
+While a user types input in a certain buffer, suggestions are generated 
+(asynchronously.) Usually, they are displayed after the input. When the cursor 
+presses the right arrow and the cursor is at the end of the input, the 
+suggestion will be inserted. 
+ 
+If you want the auto suggestions to be asynchronous (in a background thread), 
+because they take too much time, and could potentially block the event loop, 
+then wrap the :class:`.AutoSuggest` instance into a 
+:class:`.ThreadedAutoSuggest`. 
+""" 
+from abc import ABCMeta, abstractmethod 
+from typing import TYPE_CHECKING, Callable, Optional, Union 
+ 
+from prompt_toolkit.eventloop import run_in_executor_with_context 
+ 
+from .document import Document 
+from .filters import Filter, to_filter 
+ 
+if TYPE_CHECKING: 
+    from .buffer import Buffer 
+ 
+__all__ = [ 
+    "Suggestion", 
+    "AutoSuggest", 
+    "ThreadedAutoSuggest", 
+    "DummyAutoSuggest", 
+    "AutoSuggestFromHistory", 
+    "ConditionalAutoSuggest", 
+    "DynamicAutoSuggest", 
+] 
+ 
+ 
+class Suggestion: 
+    """ 
+    Suggestion returned by an auto-suggest algorithm. 
+ 
+    :param text: The suggestion text. 
+    """ 
+ 
+    def __init__(self, text: str) -> None: 
+        self.text = text 
+ 
+    def __repr__(self) -> str: 
+        return "Suggestion(%s)" % self.text 
+ 
+ 
+class AutoSuggest(metaclass=ABCMeta): 
+    """ 
+    Base class for auto suggestion implementations. 
+    """ 
+ 
+    @abstractmethod 
+    def get_suggestion( 
+        self, buffer: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        """ 
+        Return `None` or a :class:`.Suggestion` instance. 
+ 
+        We receive both :class:`~prompt_toolkit.buffer.Buffer` and 
+        :class:`~prompt_toolkit.document.Document`. The reason is that auto 
+        suggestions are retrieved asynchronously. (Like completions.) The 
+        buffer text could be changed in the meantime, but ``document`` contains 
+        the buffer document like it was at the start of the auto suggestion 
+        call. So, from here, don't access ``buffer.text``, but use 
+        ``document.text`` instead. 
+ 
+        :param buffer: The :class:`~prompt_toolkit.buffer.Buffer` instance. 
+        :param document: The :class:`~prompt_toolkit.document.Document` instance. 
+        """ 
+ 
+    async def get_suggestion_async( 
+        self, buff: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        """ 
+        Return a :class:`.Future` which is set when the suggestions are ready. 
+        This function can be overloaded in order to provide an asynchronous 
+        implementation. 
+        """ 
+        return self.get_suggestion(buff, document) 
+ 
+ 
+class ThreadedAutoSuggest(AutoSuggest): 
+    """ 
+    Wrapper that runs auto suggestions in a thread. 
+    (Use this to prevent the user interface from becoming unresponsive if the 
+    generation of suggestions takes too much time.) 
+    """ 
+ 
+    def __init__(self, auto_suggest: AutoSuggest) -> None: 
+        self.auto_suggest = auto_suggest 
+ 
+    def get_suggestion( 
+        self, buff: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        return self.auto_suggest.get_suggestion(buff, document) 
+ 
+    async def get_suggestion_async( 
+        self, buff: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        """ 
+        Run the `get_suggestion` function in a thread. 
+        """ 
+ 
+        def run_get_suggestion_thread() -> Optional[Suggestion]: 
+            return self.get_suggestion(buff, document) 
+ 
+        return await run_in_executor_with_context(run_get_suggestion_thread) 
+ 
+ 
+class DummyAutoSuggest(AutoSuggest): 
+    """ 
+    AutoSuggest class that doesn't return any suggestion. 
+    """ 
+ 
+    def get_suggestion( 
+        self, buffer: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        return None  # No suggestion 
+ 
+ 
+class AutoSuggestFromHistory(AutoSuggest): 
+    """ 
+    Give suggestions based on the lines in the history. 
+    """ 
+ 
+    def get_suggestion( 
+        self, buffer: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        history = buffer.history 
+ 
+        # Consider only the last line for the suggestion. 
+        text = document.text.rsplit("\n", 1)[-1] 
+ 
+        # Only create a suggestion when this is not an empty line. 
+        if text.strip(): 
+            # Find first matching line in history. 
+            for string in reversed(list(history.get_strings())): 
+                for line in reversed(string.splitlines()): 
+                    if line.startswith(text): 
+                        return Suggestion(line[len(text) :]) 
+ 
+        return None 
+ 
+ 
+class ConditionalAutoSuggest(AutoSuggest): 
+    """ 
+    Auto suggest that can be turned on and of according to a certain condition. 
+    """ 
+ 
+    def __init__(self, auto_suggest: AutoSuggest, filter: Union[bool, Filter]) -> None: 
+ 
+        self.auto_suggest = auto_suggest 
+        self.filter = to_filter(filter) 
+ 
+    def get_suggestion( 
+        self, buffer: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        if self.filter(): 
+            return self.auto_suggest.get_suggestion(buffer, document) 
+ 
+        return None 
+ 
+ 
+class DynamicAutoSuggest(AutoSuggest): 
+    """ 
+    Validator class that can dynamically returns any Validator. 
+ 
+    :param get_validator: Callable that returns a :class:`.Validator` instance. 
+    """ 
+ 
+    def __init__(self, get_auto_suggest: Callable[[], Optional[AutoSuggest]]) -> None: 
+        self.get_auto_suggest = get_auto_suggest 
+ 
+    def get_suggestion( 
+        self, buff: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        auto_suggest = self.get_auto_suggest() or DummyAutoSuggest() 
+        return auto_suggest.get_suggestion(buff, document) 
+ 
+    async def get_suggestion_async( 
+        self, buff: "Buffer", document: Document 
+    ) -> Optional[Suggestion]: 
+        auto_suggest = self.get_auto_suggest() or DummyAutoSuggest() 
+        return await auto_suggest.get_suggestion_async(buff, document)