diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_export_format.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_export_format.py new file mode 100644 index 0000000000000000000000000000000000000000..e7527e52f6613328630fc6305f957d9ea58027d8 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_export_format.py @@ -0,0 +1,76 @@ +CONSOLE_HTML_FORMAT = """\ + + + + + + + + 
{code}
+ + +""" + +CONSOLE_SVG_FORMAT = """\ + + + + + + + + + {lines} + + + {chrome} + + {backgrounds} + + {matrix} + + + +""" + +_SVG_FONT_FAMILY = "Rich Fira Code" +_SVG_CLASSES_PREFIX = "rich-svg" diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_extension.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_extension.py new file mode 100644 index 0000000000000000000000000000000000000000..cbd6da9be4956ce8558304ed72ffbe88ccd22ba5 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_extension.py @@ -0,0 +1,10 @@ +from typing import Any + + +def load_ipython_extension(ip: Any) -> None: # pragma: no cover + # prevent circular import + from pip._vendor.rich.pretty import install + from pip._vendor.rich.traceback import install as tr_install + + install() + tr_install() diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_null_file.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_null_file.py new file mode 100644 index 0000000000000000000000000000000000000000..6ae05d3e2a901af754b1626d911ebc3c45e22a40 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_null_file.py @@ -0,0 +1,69 @@ +from types import TracebackType +from typing import IO, Iterable, Iterator, List, Optional, Type + + +class NullFile(IO[str]): + def close(self) -> None: + pass + + def isatty(self) -> bool: + return False + + def read(self, __n: int = 1) -> str: + return "" + + def readable(self) -> bool: + return False + + def readline(self, __limit: int = 1) -> str: + return "" + + def readlines(self, __hint: int = 1) -> List[str]: + return [] + + def seek(self, __offset: int, __whence: int = 1) -> int: + return 0 + + def seekable(self) -> bool: + return False + + def tell(self) -> int: + return 0 + + def truncate(self, __size: Optional[int] = 1) -> int: + return 0 + + def writable(self) -> bool: + return False + + def writelines(self, __lines: Iterable[str]) -> None: + pass + + def __next__(self) -> str: + return "" + + def __iter__(self) -> Iterator[str]: + return iter([""]) + + def __enter__(self) -> IO[str]: + return self + + def __exit__( + self, + __t: Optional[Type[BaseException]], + __value: Optional[BaseException], + __traceback: Optional[TracebackType], + ) -> None: + pass + + def write(self, text: str) -> int: + return 0 + + def flush(self) -> None: + pass + + def fileno(self) -> int: + return -1 + + +NULL_FILE = NullFile() diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_pick.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_pick.py new file mode 100644 index 0000000000000000000000000000000000000000..4f6d8b2d79406012c5f8bae9c289ed5bf4d179cc --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_pick.py @@ -0,0 +1,17 @@ +from typing import Optional + + +def pick_bool(*values: Optional[bool]) -> bool: + """Pick the first non-none bool or return the last value. + + Args: + *values (bool): Any number of boolean or None values. + + Returns: + bool: First non-none boolean. + """ + assert values, "1 or more values required" + for value in values: + if value is not None: + return value + return bool(value) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_timer.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_timer.py new file mode 100644 index 0000000000000000000000000000000000000000..a2ca6be03c43054caaa3660998273ebf704345dd --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_timer.py @@ -0,0 +1,19 @@ +""" +Timer context manager, only used in debug. + +""" + +from time import time + +import contextlib +from typing import Generator + + +@contextlib.contextmanager +def timer(subject: str = "time") -> Generator[None, None, None]: + """print the elapsed time. (only used in debugging)""" + start = time() + yield + elapsed = time() - start + elapsed_ms = elapsed * 1000 + print(f"{subject} elapsed {elapsed_ms:.1f}ms") diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_win32_console.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_win32_console.py new file mode 100644 index 0000000000000000000000000000000000000000..2eba1b9b4ab8492d1c2174905e4cbaf1ff185eca --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_win32_console.py @@ -0,0 +1,661 @@ +"""Light wrapper around the Win32 Console API - this module should only be imported on Windows + +The API that this module wraps is documented at https://docs.microsoft.com/en-us/windows/console/console-functions +""" + +import ctypes +import sys +from typing import Any + +windll: Any = None +if sys.platform == "win32": + windll = ctypes.LibraryLoader(ctypes.WinDLL) +else: + raise ImportError(f"{__name__} can only be imported on Windows") + +import time +from ctypes import Structure, byref, wintypes +from typing import IO, NamedTuple, Type, cast + +from pip._vendor.rich.color import ColorSystem +from pip._vendor.rich.style import Style + +STDOUT = -11 +ENABLE_VIRTUAL_TERMINAL_PROCESSING = 4 + +COORD = wintypes._COORD + + +class LegacyWindowsError(Exception): + pass + + +class WindowsCoordinates(NamedTuple): + """Coordinates in the Windows Console API are (y, x), not (x, y). + This class is intended to prevent that confusion. + Rows and columns are indexed from 0. + This class can be used in place of wintypes._COORD in arguments and argtypes. + """ + + row: int + col: int + + @classmethod + def from_param(cls, value: "WindowsCoordinates") -> COORD: + """Converts a WindowsCoordinates into a wintypes _COORD structure. + This classmethod is internally called by ctypes to perform the conversion. + + Args: + value (WindowsCoordinates): The input coordinates to convert. + + Returns: + wintypes._COORD: The converted coordinates struct. + """ + return COORD(value.col, value.row) + + +class CONSOLE_SCREEN_BUFFER_INFO(Structure): + _fields_ = [ + ("dwSize", COORD), + ("dwCursorPosition", COORD), + ("wAttributes", wintypes.WORD), + ("srWindow", wintypes.SMALL_RECT), + ("dwMaximumWindowSize", COORD), + ] + + +class CONSOLE_CURSOR_INFO(ctypes.Structure): + _fields_ = [("dwSize", wintypes.DWORD), ("bVisible", wintypes.BOOL)] + + +_GetStdHandle = windll.kernel32.GetStdHandle +_GetStdHandle.argtypes = [ + wintypes.DWORD, +] +_GetStdHandle.restype = wintypes.HANDLE + + +def GetStdHandle(handle: int = STDOUT) -> wintypes.HANDLE: + """Retrieves a handle to the specified standard device (standard input, standard output, or standard error). + + Args: + handle (int): Integer identifier for the handle. Defaults to -11 (stdout). + + Returns: + wintypes.HANDLE: The handle + """ + return cast(wintypes.HANDLE, _GetStdHandle(handle)) + + +_GetConsoleMode = windll.kernel32.GetConsoleMode +_GetConsoleMode.argtypes = [wintypes.HANDLE, wintypes.LPDWORD] +_GetConsoleMode.restype = wintypes.BOOL + + +def GetConsoleMode(std_handle: wintypes.HANDLE) -> int: + """Retrieves the current input mode of a console's input buffer + or the current output mode of a console screen buffer. + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + + Raises: + LegacyWindowsError: If any error occurs while calling the Windows console API. + + Returns: + int: Value representing the current console mode as documented at + https://docs.microsoft.com/en-us/windows/console/getconsolemode#parameters + """ + + console_mode = wintypes.DWORD() + success = bool(_GetConsoleMode(std_handle, console_mode)) + if not success: + raise LegacyWindowsError("Unable to get legacy Windows Console Mode") + return console_mode.value + + +_FillConsoleOutputCharacterW = windll.kernel32.FillConsoleOutputCharacterW +_FillConsoleOutputCharacterW.argtypes = [ + wintypes.HANDLE, + ctypes.c_char, + wintypes.DWORD, + cast(Type[COORD], WindowsCoordinates), + ctypes.POINTER(wintypes.DWORD), +] +_FillConsoleOutputCharacterW.restype = wintypes.BOOL + + +def FillConsoleOutputCharacter( + std_handle: wintypes.HANDLE, + char: str, + length: int, + start: WindowsCoordinates, +) -> int: + """Writes a character to the console screen buffer a specified number of times, beginning at the specified coordinates. + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + char (str): The character to write. Must be a string of length 1. + length (int): The number of times to write the character. + start (WindowsCoordinates): The coordinates to start writing at. + + Returns: + int: The number of characters written. + """ + character = ctypes.c_char(char.encode()) + num_characters = wintypes.DWORD(length) + num_written = wintypes.DWORD(0) + _FillConsoleOutputCharacterW( + std_handle, + character, + num_characters, + start, + byref(num_written), + ) + return num_written.value + + +_FillConsoleOutputAttribute = windll.kernel32.FillConsoleOutputAttribute +_FillConsoleOutputAttribute.argtypes = [ + wintypes.HANDLE, + wintypes.WORD, + wintypes.DWORD, + cast(Type[COORD], WindowsCoordinates), + ctypes.POINTER(wintypes.DWORD), +] +_FillConsoleOutputAttribute.restype = wintypes.BOOL + + +def FillConsoleOutputAttribute( + std_handle: wintypes.HANDLE, + attributes: int, + length: int, + start: WindowsCoordinates, +) -> int: + """Sets the character attributes for a specified number of character cells, + beginning at the specified coordinates in a screen buffer. + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + attributes (int): Integer value representing the foreground and background colours of the cells. + length (int): The number of cells to set the output attribute of. + start (WindowsCoordinates): The coordinates of the first cell whose attributes are to be set. + + Returns: + int: The number of cells whose attributes were actually set. + """ + num_cells = wintypes.DWORD(length) + style_attrs = wintypes.WORD(attributes) + num_written = wintypes.DWORD(0) + _FillConsoleOutputAttribute( + std_handle, style_attrs, num_cells, start, byref(num_written) + ) + return num_written.value + + +_SetConsoleTextAttribute = windll.kernel32.SetConsoleTextAttribute +_SetConsoleTextAttribute.argtypes = [ + wintypes.HANDLE, + wintypes.WORD, +] +_SetConsoleTextAttribute.restype = wintypes.BOOL + + +def SetConsoleTextAttribute( + std_handle: wintypes.HANDLE, attributes: wintypes.WORD +) -> bool: + """Set the colour attributes for all text written after this function is called. + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + attributes (int): Integer value representing the foreground and background colours. + + + Returns: + bool: True if the attribute was set successfully, otherwise False. + """ + return bool(_SetConsoleTextAttribute(std_handle, attributes)) + + +_GetConsoleScreenBufferInfo = windll.kernel32.GetConsoleScreenBufferInfo +_GetConsoleScreenBufferInfo.argtypes = [ + wintypes.HANDLE, + ctypes.POINTER(CONSOLE_SCREEN_BUFFER_INFO), +] +_GetConsoleScreenBufferInfo.restype = wintypes.BOOL + + +def GetConsoleScreenBufferInfo( + std_handle: wintypes.HANDLE, +) -> CONSOLE_SCREEN_BUFFER_INFO: + """Retrieves information about the specified console screen buffer. + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + + Returns: + CONSOLE_SCREEN_BUFFER_INFO: A CONSOLE_SCREEN_BUFFER_INFO ctype struct contain information about + screen size, cursor position, colour attributes, and more.""" + console_screen_buffer_info = CONSOLE_SCREEN_BUFFER_INFO() + _GetConsoleScreenBufferInfo(std_handle, byref(console_screen_buffer_info)) + return console_screen_buffer_info + + +_SetConsoleCursorPosition = windll.kernel32.SetConsoleCursorPosition +_SetConsoleCursorPosition.argtypes = [ + wintypes.HANDLE, + cast(Type[COORD], WindowsCoordinates), +] +_SetConsoleCursorPosition.restype = wintypes.BOOL + + +def SetConsoleCursorPosition( + std_handle: wintypes.HANDLE, coords: WindowsCoordinates +) -> bool: + """Set the position of the cursor in the console screen + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + coords (WindowsCoordinates): The coordinates to move the cursor to. + + Returns: + bool: True if the function succeeds, otherwise False. + """ + return bool(_SetConsoleCursorPosition(std_handle, coords)) + + +_GetConsoleCursorInfo = windll.kernel32.GetConsoleCursorInfo +_GetConsoleCursorInfo.argtypes = [ + wintypes.HANDLE, + ctypes.POINTER(CONSOLE_CURSOR_INFO), +] +_GetConsoleCursorInfo.restype = wintypes.BOOL + + +def GetConsoleCursorInfo( + std_handle: wintypes.HANDLE, cursor_info: CONSOLE_CURSOR_INFO +) -> bool: + """Get the cursor info - used to get cursor visibility and width + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + cursor_info (CONSOLE_CURSOR_INFO): CONSOLE_CURSOR_INFO ctype struct that receives information + about the console's cursor. + + Returns: + bool: True if the function succeeds, otherwise False. + """ + return bool(_GetConsoleCursorInfo(std_handle, byref(cursor_info))) + + +_SetConsoleCursorInfo = windll.kernel32.SetConsoleCursorInfo +_SetConsoleCursorInfo.argtypes = [ + wintypes.HANDLE, + ctypes.POINTER(CONSOLE_CURSOR_INFO), +] +_SetConsoleCursorInfo.restype = wintypes.BOOL + + +def SetConsoleCursorInfo( + std_handle: wintypes.HANDLE, cursor_info: CONSOLE_CURSOR_INFO +) -> bool: + """Set the cursor info - used for adjusting cursor visibility and width + + Args: + std_handle (wintypes.HANDLE): A handle to the console input buffer or the console screen buffer. + cursor_info (CONSOLE_CURSOR_INFO): CONSOLE_CURSOR_INFO ctype struct containing the new cursor info. + + Returns: + bool: True if the function succeeds, otherwise False. + """ + return bool(_SetConsoleCursorInfo(std_handle, byref(cursor_info))) + + +_SetConsoleTitle = windll.kernel32.SetConsoleTitleW +_SetConsoleTitle.argtypes = [wintypes.LPCWSTR] +_SetConsoleTitle.restype = wintypes.BOOL + + +def SetConsoleTitle(title: str) -> bool: + """Sets the title of the current console window + + Args: + title (str): The new title of the console window. + + Returns: + bool: True if the function succeeds, otherwise False. + """ + return bool(_SetConsoleTitle(title)) + + +class LegacyWindowsTerm: + """This class allows interaction with the legacy Windows Console API. It should only be used in the context + of environments where virtual terminal processing is not available. However, if it is used in a Windows environment, + the entire API should work. + + Args: + file (IO[str]): The file which the Windows Console API HANDLE is retrieved from, defaults to sys.stdout. + """ + + BRIGHT_BIT = 8 + + # Indices are ANSI color numbers, values are the corresponding Windows Console API color numbers + ANSI_TO_WINDOWS = [ + 0, # black The Windows colours are defined in wincon.h as follows: + 4, # red define FOREGROUND_BLUE 0x0001 -- 0000 0001 + 2, # green define FOREGROUND_GREEN 0x0002 -- 0000 0010 + 6, # yellow define FOREGROUND_RED 0x0004 -- 0000 0100 + 1, # blue define FOREGROUND_INTENSITY 0x0008 -- 0000 1000 + 5, # magenta define BACKGROUND_BLUE 0x0010 -- 0001 0000 + 3, # cyan define BACKGROUND_GREEN 0x0020 -- 0010 0000 + 7, # white define BACKGROUND_RED 0x0040 -- 0100 0000 + 8, # bright black (grey) define BACKGROUND_INTENSITY 0x0080 -- 1000 0000 + 12, # bright red + 10, # bright green + 14, # bright yellow + 9, # bright blue + 13, # bright magenta + 11, # bright cyan + 15, # bright white + ] + + def __init__(self, file: "IO[str]") -> None: + handle = GetStdHandle(STDOUT) + self._handle = handle + default_text = GetConsoleScreenBufferInfo(handle).wAttributes + self._default_text = default_text + + self._default_fore = default_text & 7 + self._default_back = (default_text >> 4) & 7 + self._default_attrs = self._default_fore | (self._default_back << 4) + + self._file = file + self.write = file.write + self.flush = file.flush + + @property + def cursor_position(self) -> WindowsCoordinates: + """Returns the current position of the cursor (0-based) + + Returns: + WindowsCoordinates: The current cursor position. + """ + coord: COORD = GetConsoleScreenBufferInfo(self._handle).dwCursorPosition + return WindowsCoordinates(row=coord.Y, col=coord.X) + + @property + def screen_size(self) -> WindowsCoordinates: + """Returns the current size of the console screen buffer, in character columns and rows + + Returns: + WindowsCoordinates: The width and height of the screen as WindowsCoordinates. + """ + screen_size: COORD = GetConsoleScreenBufferInfo(self._handle).dwSize + return WindowsCoordinates(row=screen_size.Y, col=screen_size.X) + + def write_text(self, text: str) -> None: + """Write text directly to the terminal without any modification of styles + + Args: + text (str): The text to write to the console + """ + self.write(text) + self.flush() + + def write_styled(self, text: str, style: Style) -> None: + """Write styled text to the terminal. + + Args: + text (str): The text to write + style (Style): The style of the text + """ + color = style.color + bgcolor = style.bgcolor + if style.reverse: + color, bgcolor = bgcolor, color + + if color: + fore = color.downgrade(ColorSystem.WINDOWS).number + fore = fore if fore is not None else 7 # Default to ANSI 7: White + if style.bold: + fore = fore | self.BRIGHT_BIT + if style.dim: + fore = fore & ~self.BRIGHT_BIT + fore = self.ANSI_TO_WINDOWS[fore] + else: + fore = self._default_fore + + if bgcolor: + back = bgcolor.downgrade(ColorSystem.WINDOWS).number + back = back if back is not None else 0 # Default to ANSI 0: Black + back = self.ANSI_TO_WINDOWS[back] + else: + back = self._default_back + + assert fore is not None + assert back is not None + + SetConsoleTextAttribute( + self._handle, attributes=ctypes.c_ushort(fore | (back << 4)) + ) + self.write_text(text) + SetConsoleTextAttribute(self._handle, attributes=self._default_text) + + def move_cursor_to(self, new_position: WindowsCoordinates) -> None: + """Set the position of the cursor + + Args: + new_position (WindowsCoordinates): The WindowsCoordinates representing the new position of the cursor. + """ + if new_position.col < 0 or new_position.row < 0: + return + SetConsoleCursorPosition(self._handle, coords=new_position) + + def erase_line(self) -> None: + """Erase all content on the line the cursor is currently located at""" + screen_size = self.screen_size + cursor_position = self.cursor_position + cells_to_erase = screen_size.col + start_coordinates = WindowsCoordinates(row=cursor_position.row, col=0) + FillConsoleOutputCharacter( + self._handle, " ", length=cells_to_erase, start=start_coordinates + ) + FillConsoleOutputAttribute( + self._handle, + self._default_attrs, + length=cells_to_erase, + start=start_coordinates, + ) + + def erase_end_of_line(self) -> None: + """Erase all content from the cursor position to the end of that line""" + cursor_position = self.cursor_position + cells_to_erase = self.screen_size.col - cursor_position.col + FillConsoleOutputCharacter( + self._handle, " ", length=cells_to_erase, start=cursor_position + ) + FillConsoleOutputAttribute( + self._handle, + self._default_attrs, + length=cells_to_erase, + start=cursor_position, + ) + + def erase_start_of_line(self) -> None: + """Erase all content from the cursor position to the start of that line""" + row, col = self.cursor_position + start = WindowsCoordinates(row, 0) + FillConsoleOutputCharacter(self._handle, " ", length=col, start=start) + FillConsoleOutputAttribute( + self._handle, self._default_attrs, length=col, start=start + ) + + def move_cursor_up(self) -> None: + """Move the cursor up a single cell""" + cursor_position = self.cursor_position + SetConsoleCursorPosition( + self._handle, + coords=WindowsCoordinates( + row=cursor_position.row - 1, col=cursor_position.col + ), + ) + + def move_cursor_down(self) -> None: + """Move the cursor down a single cell""" + cursor_position = self.cursor_position + SetConsoleCursorPosition( + self._handle, + coords=WindowsCoordinates( + row=cursor_position.row + 1, + col=cursor_position.col, + ), + ) + + def move_cursor_forward(self) -> None: + """Move the cursor forward a single cell. Wrap to the next line if required.""" + row, col = self.cursor_position + if col == self.screen_size.col - 1: + row += 1 + col = 0 + else: + col += 1 + SetConsoleCursorPosition( + self._handle, coords=WindowsCoordinates(row=row, col=col) + ) + + def move_cursor_to_column(self, column: int) -> None: + """Move cursor to the column specified by the zero-based column index, staying on the same row + + Args: + column (int): The zero-based column index to move the cursor to. + """ + row, _ = self.cursor_position + SetConsoleCursorPosition(self._handle, coords=WindowsCoordinates(row, column)) + + def move_cursor_backward(self) -> None: + """Move the cursor backward a single cell. Wrap to the previous line if required.""" + row, col = self.cursor_position + if col == 0: + row -= 1 + col = self.screen_size.col - 1 + else: + col -= 1 + SetConsoleCursorPosition( + self._handle, coords=WindowsCoordinates(row=row, col=col) + ) + + def hide_cursor(self) -> None: + """Hide the cursor""" + current_cursor_size = self._get_cursor_size() + invisible_cursor = CONSOLE_CURSOR_INFO(dwSize=current_cursor_size, bVisible=0) + SetConsoleCursorInfo(self._handle, cursor_info=invisible_cursor) + + def show_cursor(self) -> None: + """Show the cursor""" + current_cursor_size = self._get_cursor_size() + visible_cursor = CONSOLE_CURSOR_INFO(dwSize=current_cursor_size, bVisible=1) + SetConsoleCursorInfo(self._handle, cursor_info=visible_cursor) + + def set_title(self, title: str) -> None: + """Set the title of the terminal window + + Args: + title (str): The new title of the console window + """ + assert len(title) < 255, "Console title must be less than 255 characters" + SetConsoleTitle(title) + + def _get_cursor_size(self) -> int: + """Get the percentage of the character cell that is filled by the cursor""" + cursor_info = CONSOLE_CURSOR_INFO() + GetConsoleCursorInfo(self._handle, cursor_info=cursor_info) + return int(cursor_info.dwSize) + + +if __name__ == "__main__": + handle = GetStdHandle() + + from pip._vendor.rich.console import Console + + console = Console() + + term = LegacyWindowsTerm(sys.stdout) + term.set_title("Win32 Console Examples") + + style = Style(color="black", bgcolor="red") + + heading = Style.parse("black on green") + + # Check colour output + console.rule("Checking colour output") + console.print("[on red]on red!") + console.print("[blue]blue!") + console.print("[yellow]yellow!") + console.print("[bold yellow]bold yellow!") + console.print("[bright_yellow]bright_yellow!") + console.print("[dim bright_yellow]dim bright_yellow!") + console.print("[italic cyan]italic cyan!") + console.print("[bold white on blue]bold white on blue!") + console.print("[reverse bold white on blue]reverse bold white on blue!") + console.print("[bold black on cyan]bold black on cyan!") + console.print("[black on green]black on green!") + console.print("[blue on green]blue on green!") + console.print("[white on black]white on black!") + console.print("[black on white]black on white!") + console.print("[#1BB152 on #DA812D]#1BB152 on #DA812D!") + + # Check cursor movement + console.rule("Checking cursor movement") + console.print() + term.move_cursor_backward() + term.move_cursor_backward() + term.write_text("went back and wrapped to prev line") + time.sleep(1) + term.move_cursor_up() + term.write_text("we go up") + time.sleep(1) + term.move_cursor_down() + term.write_text("and down") + time.sleep(1) + term.move_cursor_up() + term.move_cursor_backward() + term.move_cursor_backward() + term.write_text("we went up and back 2") + time.sleep(1) + term.move_cursor_down() + term.move_cursor_backward() + term.move_cursor_backward() + term.write_text("we went down and back 2") + time.sleep(1) + + # Check erasing of lines + term.hide_cursor() + console.print() + console.rule("Checking line erasing") + console.print("\n...Deleting to the start of the line...") + term.write_text("The red arrow shows the cursor location, and direction of erase") + time.sleep(1) + term.move_cursor_to_column(16) + term.write_styled("<", Style.parse("black on red")) + term.move_cursor_backward() + time.sleep(1) + term.erase_start_of_line() + time.sleep(1) + + console.print("\n\n...And to the end of the line...") + term.write_text("The red arrow shows the cursor location, and direction of erase") + time.sleep(1) + + term.move_cursor_to_column(16) + term.write_styled(">", Style.parse("black on red")) + time.sleep(1) + term.erase_end_of_line() + time.sleep(1) + + console.print("\n\n...Now the whole line will be erased...") + term.write_styled("I'm going to disappear!", style=Style.parse("black on cyan")) + time.sleep(1) + term.erase_line() + + term.show_cursor() + print("\n") diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/_windows.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_windows.py new file mode 100644 index 0000000000000000000000000000000000000000..7520a9f90a5bcb0ec89ffef4d77136a296e08b4e --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/_windows.py @@ -0,0 +1,71 @@ +import sys +from dataclasses import dataclass + + +@dataclass +class WindowsConsoleFeatures: + """Windows features available.""" + + vt: bool = False + """The console supports VT codes.""" + truecolor: bool = False + """The console supports truecolor.""" + + +try: + import ctypes + from ctypes import LibraryLoader + + if sys.platform == "win32": + windll = LibraryLoader(ctypes.WinDLL) + else: + windll = None + raise ImportError("Not windows") + + from pip._vendor.rich._win32_console import ( + ENABLE_VIRTUAL_TERMINAL_PROCESSING, + GetConsoleMode, + GetStdHandle, + LegacyWindowsError, + ) + +except (AttributeError, ImportError, ValueError): + # Fallback if we can't load the Windows DLL + def get_windows_console_features() -> WindowsConsoleFeatures: + features = WindowsConsoleFeatures() + return features + +else: + + def get_windows_console_features() -> WindowsConsoleFeatures: + """Get windows console features. + + Returns: + WindowsConsoleFeatures: An instance of WindowsConsoleFeatures. + """ + handle = GetStdHandle() + try: + console_mode = GetConsoleMode(handle) + success = True + except LegacyWindowsError: + console_mode = 0 + success = False + vt = bool(success and console_mode & ENABLE_VIRTUAL_TERMINAL_PROCESSING) + truecolor = False + if vt: + win_version = sys.getwindowsversion() + truecolor = win_version.major > 10 or ( + win_version.major == 10 and win_version.build >= 15063 + ) + features = WindowsConsoleFeatures(vt=vt, truecolor=truecolor) + return features + + +if __name__ == "__main__": + import platform + + features = get_windows_console_features() + from pip._vendor.rich import print + + print(f'platform="{platform.system()}"') + print(repr(features)) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/abc.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/abc.py new file mode 100644 index 0000000000000000000000000000000000000000..e6e498efabfab0dcf31cd7731f8f821cc423bc4f --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/abc.py @@ -0,0 +1,33 @@ +from abc import ABC + + +class RichRenderable(ABC): + """An abstract base class for Rich renderables. + + Note that there is no need to extend this class, the intended use is to check if an + object supports the Rich renderable protocol. For example:: + + if isinstance(my_object, RichRenderable): + console.print(my_object) + + """ + + @classmethod + def __subclasshook__(cls, other: type) -> bool: + """Check if this class supports the rich render protocol.""" + return hasattr(other, "__rich_console__") or hasattr(other, "__rich__") + + +if __name__ == "__main__": # pragma: no cover + from pip._vendor.rich.text import Text + + t = Text() + print(isinstance(Text, RichRenderable)) + print(isinstance(t, RichRenderable)) + + class Foo: + pass + + f = Foo() + print(isinstance(f, RichRenderable)) + print(isinstance("", RichRenderable)) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/color.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/color.py new file mode 100644 index 0000000000000000000000000000000000000000..e2c23a6a91b833fd9bb20bd5238421a5c0f08df3 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/color.py @@ -0,0 +1,621 @@ +import re +import sys +from colorsys import rgb_to_hls +from enum import IntEnum +from functools import lru_cache +from typing import TYPE_CHECKING, NamedTuple, Optional, Tuple + +from ._palettes import EIGHT_BIT_PALETTE, STANDARD_PALETTE, WINDOWS_PALETTE +from .color_triplet import ColorTriplet +from .repr import Result, rich_repr +from .terminal_theme import DEFAULT_TERMINAL_THEME + +if TYPE_CHECKING: # pragma: no cover + from .terminal_theme import TerminalTheme + from .text import Text + + +WINDOWS = sys.platform == "win32" + + +class ColorSystem(IntEnum): + """One of the 3 color system supported by terminals.""" + + STANDARD = 1 + EIGHT_BIT = 2 + TRUECOLOR = 3 + WINDOWS = 4 + + def __repr__(self) -> str: + return f"ColorSystem.{self.name}" + + def __str__(self) -> str: + return repr(self) + + +class ColorType(IntEnum): + """Type of color stored in Color class.""" + + DEFAULT = 0 + STANDARD = 1 + EIGHT_BIT = 2 + TRUECOLOR = 3 + WINDOWS = 4 + + def __repr__(self) -> str: + return f"ColorType.{self.name}" + + +ANSI_COLOR_NAMES = { + "black": 0, + "red": 1, + "green": 2, + "yellow": 3, + "blue": 4, + "magenta": 5, + "cyan": 6, + "white": 7, + "bright_black": 8, + "bright_red": 9, + "bright_green": 10, + "bright_yellow": 11, + "bright_blue": 12, + "bright_magenta": 13, + "bright_cyan": 14, + "bright_white": 15, + "grey0": 16, + "gray0": 16, + "navy_blue": 17, + "dark_blue": 18, + "blue3": 20, + "blue1": 21, + "dark_green": 22, + "deep_sky_blue4": 25, + "dodger_blue3": 26, + "dodger_blue2": 27, + "green4": 28, + "spring_green4": 29, + "turquoise4": 30, + "deep_sky_blue3": 32, + "dodger_blue1": 33, + "green3": 40, + "spring_green3": 41, + "dark_cyan": 36, + "light_sea_green": 37, + "deep_sky_blue2": 38, + "deep_sky_blue1": 39, + "spring_green2": 47, + "cyan3": 43, + "dark_turquoise": 44, + "turquoise2": 45, + "green1": 46, + "spring_green1": 48, + "medium_spring_green": 49, + "cyan2": 50, + "cyan1": 51, + "dark_red": 88, + "deep_pink4": 125, + "purple4": 55, + "purple3": 56, + "blue_violet": 57, + "orange4": 94, + "grey37": 59, + "gray37": 59, + "medium_purple4": 60, + "slate_blue3": 62, + "royal_blue1": 63, + "chartreuse4": 64, + "dark_sea_green4": 71, + "pale_turquoise4": 66, + "steel_blue": 67, + "steel_blue3": 68, + "cornflower_blue": 69, + "chartreuse3": 76, + "cadet_blue": 73, + "sky_blue3": 74, + "steel_blue1": 81, + "pale_green3": 114, + "sea_green3": 78, + "aquamarine3": 79, + "medium_turquoise": 80, + "chartreuse2": 112, + "sea_green2": 83, + "sea_green1": 85, + "aquamarine1": 122, + "dark_slate_gray2": 87, + "dark_magenta": 91, + "dark_violet": 128, + "purple": 129, + "light_pink4": 95, + "plum4": 96, + "medium_purple3": 98, + "slate_blue1": 99, + "yellow4": 106, + "wheat4": 101, + "grey53": 102, + "gray53": 102, + "light_slate_grey": 103, + "light_slate_gray": 103, + "medium_purple": 104, + "light_slate_blue": 105, + "dark_olive_green3": 149, + "dark_sea_green": 108, + "light_sky_blue3": 110, + "sky_blue2": 111, + "dark_sea_green3": 150, + "dark_slate_gray3": 116, + "sky_blue1": 117, + "chartreuse1": 118, + "light_green": 120, + "pale_green1": 156, + "dark_slate_gray1": 123, + "red3": 160, + "medium_violet_red": 126, + "magenta3": 164, + "dark_orange3": 166, + "indian_red": 167, + "hot_pink3": 168, + "medium_orchid3": 133, + "medium_orchid": 134, + "medium_purple2": 140, + "dark_goldenrod": 136, + "light_salmon3": 173, + "rosy_brown": 138, + "grey63": 139, + "gray63": 139, + "medium_purple1": 141, + "gold3": 178, + "dark_khaki": 143, + "navajo_white3": 144, + "grey69": 145, + "gray69": 145, + "light_steel_blue3": 146, + "light_steel_blue": 147, + "yellow3": 184, + "dark_sea_green2": 157, + "light_cyan3": 152, + "light_sky_blue1": 153, + "green_yellow": 154, + "dark_olive_green2": 155, + "dark_sea_green1": 193, + "pale_turquoise1": 159, + "deep_pink3": 162, + "magenta2": 200, + "hot_pink2": 169, + "orchid": 170, + "medium_orchid1": 207, + "orange3": 172, + "light_pink3": 174, + "pink3": 175, + "plum3": 176, + "violet": 177, + "light_goldenrod3": 179, + "tan": 180, + "misty_rose3": 181, + "thistle3": 182, + "plum2": 183, + "khaki3": 185, + "light_goldenrod2": 222, + "light_yellow3": 187, + "grey84": 188, + "gray84": 188, + "light_steel_blue1": 189, + "yellow2": 190, + "dark_olive_green1": 192, + "honeydew2": 194, + "light_cyan1": 195, + "red1": 196, + "deep_pink2": 197, + "deep_pink1": 199, + "magenta1": 201, + "orange_red1": 202, + "indian_red1": 204, + "hot_pink": 206, + "dark_orange": 208, + "salmon1": 209, + "light_coral": 210, + "pale_violet_red1": 211, + "orchid2": 212, + "orchid1": 213, + "orange1": 214, + "sandy_brown": 215, + "light_salmon1": 216, + "light_pink1": 217, + "pink1": 218, + "plum1": 219, + "gold1": 220, + "navajo_white1": 223, + "misty_rose1": 224, + "thistle1": 225, + "yellow1": 226, + "light_goldenrod1": 227, + "khaki1": 228, + "wheat1": 229, + "cornsilk1": 230, + "grey100": 231, + "gray100": 231, + "grey3": 232, + "gray3": 232, + "grey7": 233, + "gray7": 233, + "grey11": 234, + "gray11": 234, + "grey15": 235, + "gray15": 235, + "grey19": 236, + "gray19": 236, + "grey23": 237, + "gray23": 237, + "grey27": 238, + "gray27": 238, + "grey30": 239, + "gray30": 239, + "grey35": 240, + "gray35": 240, + "grey39": 241, + "gray39": 241, + "grey42": 242, + "gray42": 242, + "grey46": 243, + "gray46": 243, + "grey50": 244, + "gray50": 244, + "grey54": 245, + "gray54": 245, + "grey58": 246, + "gray58": 246, + "grey62": 247, + "gray62": 247, + "grey66": 248, + "gray66": 248, + "grey70": 249, + "gray70": 249, + "grey74": 250, + "gray74": 250, + "grey78": 251, + "gray78": 251, + "grey82": 252, + "gray82": 252, + "grey85": 253, + "gray85": 253, + "grey89": 254, + "gray89": 254, + "grey93": 255, + "gray93": 255, +} + + +class ColorParseError(Exception): + """The color could not be parsed.""" + + +RE_COLOR = re.compile( + r"""^ +\#([0-9a-f]{6})$| +color\(([0-9]{1,3})\)$| +rgb\(([\d\s,]+)\)$ +""", + re.VERBOSE, +) + + +@rich_repr +class Color(NamedTuple): + """Terminal color definition.""" + + name: str + """The name of the color (typically the input to Color.parse).""" + type: ColorType + """The type of the color.""" + number: Optional[int] = None + """The color number, if a standard color, or None.""" + triplet: Optional[ColorTriplet] = None + """A triplet of color components, if an RGB color.""" + + def __rich__(self) -> "Text": + """Displays the actual color if Rich printed.""" + from .style import Style + from .text import Text + + return Text.assemble( + f"", + ) + + def __rich_repr__(self) -> Result: + yield self.name + yield self.type + yield "number", self.number, None + yield "triplet", self.triplet, None + + @property + def system(self) -> ColorSystem: + """Get the native color system for this color.""" + if self.type == ColorType.DEFAULT: + return ColorSystem.STANDARD + return ColorSystem(int(self.type)) + + @property + def is_system_defined(self) -> bool: + """Check if the color is ultimately defined by the system.""" + return self.system not in (ColorSystem.EIGHT_BIT, ColorSystem.TRUECOLOR) + + @property + def is_default(self) -> bool: + """Check if the color is a default color.""" + return self.type == ColorType.DEFAULT + + def get_truecolor( + self, theme: Optional["TerminalTheme"] = None, foreground: bool = True + ) -> ColorTriplet: + """Get an equivalent color triplet for this color. + + Args: + theme (TerminalTheme, optional): Optional terminal theme, or None to use default. Defaults to None. + foreground (bool, optional): True for a foreground color, or False for background. Defaults to True. + + Returns: + ColorTriplet: A color triplet containing RGB components. + """ + + if theme is None: + theme = DEFAULT_TERMINAL_THEME + if self.type == ColorType.TRUECOLOR: + assert self.triplet is not None + return self.triplet + elif self.type == ColorType.EIGHT_BIT: + assert self.number is not None + return EIGHT_BIT_PALETTE[self.number] + elif self.type == ColorType.STANDARD: + assert self.number is not None + return theme.ansi_colors[self.number] + elif self.type == ColorType.WINDOWS: + assert self.number is not None + return WINDOWS_PALETTE[self.number] + else: # self.type == ColorType.DEFAULT: + assert self.number is None + return theme.foreground_color if foreground else theme.background_color + + @classmethod + def from_ansi(cls, number: int) -> "Color": + """Create a Color number from it's 8-bit ansi number. + + Args: + number (int): A number between 0-255 inclusive. + + Returns: + Color: A new Color instance. + """ + return cls( + name=f"color({number})", + type=(ColorType.STANDARD if number < 16 else ColorType.EIGHT_BIT), + number=number, + ) + + @classmethod + def from_triplet(cls, triplet: "ColorTriplet") -> "Color": + """Create a truecolor RGB color from a triplet of values. + + Args: + triplet (ColorTriplet): A color triplet containing red, green and blue components. + + Returns: + Color: A new color object. + """ + return cls(name=triplet.hex, type=ColorType.TRUECOLOR, triplet=triplet) + + @classmethod + def from_rgb(cls, red: float, green: float, blue: float) -> "Color": + """Create a truecolor from three color components in the range(0->255). + + Args: + red (float): Red component in range 0-255. + green (float): Green component in range 0-255. + blue (float): Blue component in range 0-255. + + Returns: + Color: A new color object. + """ + return cls.from_triplet(ColorTriplet(int(red), int(green), int(blue))) + + @classmethod + def default(cls) -> "Color": + """Get a Color instance representing the default color. + + Returns: + Color: Default color. + """ + return cls(name="default", type=ColorType.DEFAULT) + + @classmethod + @lru_cache(maxsize=1024) + def parse(cls, color: str) -> "Color": + """Parse a color definition.""" + original_color = color + color = color.lower().strip() + + if color == "default": + return cls(color, type=ColorType.DEFAULT) + + color_number = ANSI_COLOR_NAMES.get(color) + if color_number is not None: + return cls( + color, + type=(ColorType.STANDARD if color_number < 16 else ColorType.EIGHT_BIT), + number=color_number, + ) + + color_match = RE_COLOR.match(color) + if color_match is None: + raise ColorParseError(f"{original_color!r} is not a valid color") + + color_24, color_8, color_rgb = color_match.groups() + if color_24: + triplet = ColorTriplet( + int(color_24[0:2], 16), int(color_24[2:4], 16), int(color_24[4:6], 16) + ) + return cls(color, ColorType.TRUECOLOR, triplet=triplet) + + elif color_8: + number = int(color_8) + if number > 255: + raise ColorParseError(f"color number must be <= 255 in {color!r}") + return cls( + color, + type=(ColorType.STANDARD if number < 16 else ColorType.EIGHT_BIT), + number=number, + ) + + else: # color_rgb: + components = color_rgb.split(",") + if len(components) != 3: + raise ColorParseError( + f"expected three components in {original_color!r}" + ) + red, green, blue = components + triplet = ColorTriplet(int(red), int(green), int(blue)) + if not all(component <= 255 for component in triplet): + raise ColorParseError( + f"color components must be <= 255 in {original_color!r}" + ) + return cls(color, ColorType.TRUECOLOR, triplet=triplet) + + @lru_cache(maxsize=1024) + def get_ansi_codes(self, foreground: bool = True) -> Tuple[str, ...]: + """Get the ANSI escape codes for this color.""" + _type = self.type + if _type == ColorType.DEFAULT: + return ("39" if foreground else "49",) + + elif _type == ColorType.WINDOWS: + number = self.number + assert number is not None + fore, back = (30, 40) if number < 8 else (82, 92) + return (str(fore + number if foreground else back + number),) + + elif _type == ColorType.STANDARD: + number = self.number + assert number is not None + fore, back = (30, 40) if number < 8 else (82, 92) + return (str(fore + number if foreground else back + number),) + + elif _type == ColorType.EIGHT_BIT: + assert self.number is not None + return ("38" if foreground else "48", "5", str(self.number)) + + else: # self.standard == ColorStandard.TRUECOLOR: + assert self.triplet is not None + red, green, blue = self.triplet + return ("38" if foreground else "48", "2", str(red), str(green), str(blue)) + + @lru_cache(maxsize=1024) + def downgrade(self, system: ColorSystem) -> "Color": + """Downgrade a color system to a system with fewer colors.""" + + if self.type in (ColorType.DEFAULT, system): + return self + # Convert to 8-bit color from truecolor color + if system == ColorSystem.EIGHT_BIT and self.system == ColorSystem.TRUECOLOR: + assert self.triplet is not None + _h, l, s = rgb_to_hls(*self.triplet.normalized) + # If saturation is under 15% assume it is grayscale + if s < 0.15: + gray = round(l * 25.0) + if gray == 0: + color_number = 16 + elif gray == 25: + color_number = 231 + else: + color_number = 231 + gray + return Color(self.name, ColorType.EIGHT_BIT, number=color_number) + + red, green, blue = self.triplet + six_red = red / 95 if red < 95 else 1 + (red - 95) / 40 + six_green = green / 95 if green < 95 else 1 + (green - 95) / 40 + six_blue = blue / 95 if blue < 95 else 1 + (blue - 95) / 40 + + color_number = ( + 16 + 36 * round(six_red) + 6 * round(six_green) + round(six_blue) + ) + return Color(self.name, ColorType.EIGHT_BIT, number=color_number) + + # Convert to standard from truecolor or 8-bit + elif system == ColorSystem.STANDARD: + if self.system == ColorSystem.TRUECOLOR: + assert self.triplet is not None + triplet = self.triplet + else: # self.system == ColorSystem.EIGHT_BIT + assert self.number is not None + triplet = ColorTriplet(*EIGHT_BIT_PALETTE[self.number]) + + color_number = STANDARD_PALETTE.match(triplet) + return Color(self.name, ColorType.STANDARD, number=color_number) + + elif system == ColorSystem.WINDOWS: + if self.system == ColorSystem.TRUECOLOR: + assert self.triplet is not None + triplet = self.triplet + else: # self.system == ColorSystem.EIGHT_BIT + assert self.number is not None + if self.number < 16: + return Color(self.name, ColorType.WINDOWS, number=self.number) + triplet = ColorTriplet(*EIGHT_BIT_PALETTE[self.number]) + + color_number = WINDOWS_PALETTE.match(triplet) + return Color(self.name, ColorType.WINDOWS, number=color_number) + + return self + + +def parse_rgb_hex(hex_color: str) -> ColorTriplet: + """Parse six hex characters in to RGB triplet.""" + assert len(hex_color) == 6, "must be 6 characters" + color = ColorTriplet( + int(hex_color[0:2], 16), int(hex_color[2:4], 16), int(hex_color[4:6], 16) + ) + return color + + +def blend_rgb( + color1: ColorTriplet, color2: ColorTriplet, cross_fade: float = 0.5 +) -> ColorTriplet: + """Blend one RGB color in to another.""" + r1, g1, b1 = color1 + r2, g2, b2 = color2 + new_color = ColorTriplet( + int(r1 + (r2 - r1) * cross_fade), + int(g1 + (g2 - g1) * cross_fade), + int(b1 + (b2 - b1) * cross_fade), + ) + return new_color + + +if __name__ == "__main__": # pragma: no cover + from .console import Console + from .table import Table + from .text import Text + + console = Console() + + table = Table(show_footer=False, show_edge=True) + table.add_column("Color", width=10, overflow="ellipsis") + table.add_column("Number", justify="right", style="yellow") + table.add_column("Name", style="green") + table.add_column("Hex", style="blue") + table.add_column("RGB", style="magenta") + + colors = sorted((v, k) for k, v in ANSI_COLOR_NAMES.items()) + for color_number, name in colors: + if "grey" in name: + continue + color_cell = Text(" " * 10, style=f"on {name}") + if color_number < 16: + table.add_row(color_cell, f"{color_number}", Text(f'"{name}"')) + else: + color = EIGHT_BIT_PALETTE[color_number] # type: ignore[has-type] + table.add_row( + color_cell, str(color_number), Text(f'"{name}"'), color.hex, color.rgb + ) + + console.print(table) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/color_triplet.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/color_triplet.py new file mode 100644 index 0000000000000000000000000000000000000000..02cab328251af9bfa809981aaa44933c407e2cd7 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/color_triplet.py @@ -0,0 +1,38 @@ +from typing import NamedTuple, Tuple + + +class ColorTriplet(NamedTuple): + """The red, green, and blue components of a color.""" + + red: int + """Red component in 0 to 255 range.""" + green: int + """Green component in 0 to 255 range.""" + blue: int + """Blue component in 0 to 255 range.""" + + @property + def hex(self) -> str: + """get the color triplet in CSS style.""" + red, green, blue = self + return f"#{red:02x}{green:02x}{blue:02x}" + + @property + def rgb(self) -> str: + """The color in RGB format. + + Returns: + str: An rgb color, e.g. ``"rgb(100,23,255)"``. + """ + red, green, blue = self + return f"rgb({red},{green},{blue})" + + @property + def normalized(self) -> Tuple[float, float, float]: + """Convert components into floats between 0 and 1. + + Returns: + Tuple[float, float, float]: A tuple of three normalized colour components. + """ + red, green, blue = self + return red / 255.0, green / 255.0, blue / 255.0 diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/columns.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/columns.py new file mode 100644 index 0000000000000000000000000000000000000000..669a3a7074f9a9e1af29cb4bc78b05851df67959 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/columns.py @@ -0,0 +1,187 @@ +from collections import defaultdict +from itertools import chain +from operator import itemgetter +from typing import Dict, Iterable, List, Optional, Tuple + +from .align import Align, AlignMethod +from .console import Console, ConsoleOptions, RenderableType, RenderResult +from .constrain import Constrain +from .measure import Measurement +from .padding import Padding, PaddingDimensions +from .table import Table +from .text import TextType +from .jupyter import JupyterMixin + + +class Columns(JupyterMixin): + """Display renderables in neat columns. + + Args: + renderables (Iterable[RenderableType]): Any number of Rich renderables (including str). + width (int, optional): The desired width of the columns, or None to auto detect. Defaults to None. + padding (PaddingDimensions, optional): Optional padding around cells. Defaults to (0, 1). + expand (bool, optional): Expand columns to full width. Defaults to False. + equal (bool, optional): Arrange in to equal sized columns. Defaults to False. + column_first (bool, optional): Align items from top to bottom (rather than left to right). Defaults to False. + right_to_left (bool, optional): Start column from right hand side. Defaults to False. + align (str, optional): Align value ("left", "right", or "center") or None for default. Defaults to None. + title (TextType, optional): Optional title for Columns. + """ + + def __init__( + self, + renderables: Optional[Iterable[RenderableType]] = None, + padding: PaddingDimensions = (0, 1), + *, + width: Optional[int] = None, + expand: bool = False, + equal: bool = False, + column_first: bool = False, + right_to_left: bool = False, + align: Optional[AlignMethod] = None, + title: Optional[TextType] = None, + ) -> None: + self.renderables = list(renderables or []) + self.width = width + self.padding = padding + self.expand = expand + self.equal = equal + self.column_first = column_first + self.right_to_left = right_to_left + self.align: Optional[AlignMethod] = align + self.title = title + + def add_renderable(self, renderable: RenderableType) -> None: + """Add a renderable to the columns. + + Args: + renderable (RenderableType): Any renderable object. + """ + self.renderables.append(renderable) + + def __rich_console__( + self, console: Console, options: ConsoleOptions + ) -> RenderResult: + render_str = console.render_str + renderables = [ + render_str(renderable) if isinstance(renderable, str) else renderable + for renderable in self.renderables + ] + if not renderables: + return + _top, right, _bottom, left = Padding.unpack(self.padding) + width_padding = max(left, right) + max_width = options.max_width + widths: Dict[int, int] = defaultdict(int) + column_count = len(renderables) + + get_measurement = Measurement.get + renderable_widths = [ + get_measurement(console, options, renderable).maximum + for renderable in renderables + ] + if self.equal: + renderable_widths = [max(renderable_widths)] * len(renderable_widths) + + def iter_renderables( + column_count: int, + ) -> Iterable[Tuple[int, Optional[RenderableType]]]: + item_count = len(renderables) + if self.column_first: + width_renderables = list(zip(renderable_widths, renderables)) + + column_lengths: List[int] = [item_count // column_count] * column_count + for col_no in range(item_count % column_count): + column_lengths[col_no] += 1 + + row_count = (item_count + column_count - 1) // column_count + cells = [[-1] * column_count for _ in range(row_count)] + row = col = 0 + for index in range(item_count): + cells[row][col] = index + column_lengths[col] -= 1 + if column_lengths[col]: + row += 1 + else: + col += 1 + row = 0 + for index in chain.from_iterable(cells): + if index == -1: + break + yield width_renderables[index] + else: + yield from zip(renderable_widths, renderables) + # Pad odd elements with spaces + if item_count % column_count: + for _ in range(column_count - (item_count % column_count)): + yield 0, None + + table = Table.grid(padding=self.padding, collapse_padding=True, pad_edge=False) + table.expand = self.expand + table.title = self.title + + if self.width is not None: + column_count = (max_width) // (self.width + width_padding) + for _ in range(column_count): + table.add_column(width=self.width) + else: + while column_count > 1: + widths.clear() + column_no = 0 + for renderable_width, _ in iter_renderables(column_count): + widths[column_no] = max(widths[column_no], renderable_width) + total_width = sum(widths.values()) + width_padding * ( + len(widths) - 1 + ) + if total_width > max_width: + column_count = len(widths) - 1 + break + else: + column_no = (column_no + 1) % column_count + else: + break + + get_renderable = itemgetter(1) + _renderables = [ + get_renderable(_renderable) + for _renderable in iter_renderables(column_count) + ] + if self.equal: + _renderables = [ + None + if renderable is None + else Constrain(renderable, renderable_widths[0]) + for renderable in _renderables + ] + if self.align: + align = self.align + _Align = Align + _renderables = [ + None if renderable is None else _Align(renderable, align) + for renderable in _renderables + ] + + right_to_left = self.right_to_left + add_row = table.add_row + for start in range(0, len(_renderables), column_count): + row = _renderables[start : start + column_count] + if right_to_left: + row = row[::-1] + add_row(*row) + yield table + + +if __name__ == "__main__": # pragma: no cover + import os + + console = Console() + + files = [f"{i} {s}" for i, s in enumerate(sorted(os.listdir()))] + columns = Columns(files, padding=(0, 1), expand=False, equal=False) + console.print(columns) + console.rule() + columns.column_first = True + console.print(columns) + columns.right_to_left = True + console.rule() + console.print(columns) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/emoji.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/emoji.py new file mode 100644 index 0000000000000000000000000000000000000000..791f0465de136088e33cdc6ef5696590df1e4f86 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/emoji.py @@ -0,0 +1,96 @@ +import sys +from typing import TYPE_CHECKING, Optional, Union + +from .jupyter import JupyterMixin +from .segment import Segment +from .style import Style +from ._emoji_codes import EMOJI +from ._emoji_replace import _emoji_replace + +if sys.version_info >= (3, 8): + from typing import Literal +else: + from pip._vendor.typing_extensions import Literal # pragma: no cover + + +if TYPE_CHECKING: + from .console import Console, ConsoleOptions, RenderResult + + +EmojiVariant = Literal["emoji", "text"] + + +class NoEmoji(Exception): + """No emoji by that name.""" + + +class Emoji(JupyterMixin): + __slots__ = ["name", "style", "_char", "variant"] + + VARIANTS = {"text": "\uFE0E", "emoji": "\uFE0F"} + + def __init__( + self, + name: str, + style: Union[str, Style] = "none", + variant: Optional[EmojiVariant] = None, + ) -> None: + """A single emoji character. + + Args: + name (str): Name of emoji. + style (Union[str, Style], optional): Optional style. Defaults to None. + + Raises: + NoEmoji: If the emoji doesn't exist. + """ + self.name = name + self.style = style + self.variant = variant + try: + self._char = EMOJI[name] + except KeyError: + raise NoEmoji(f"No emoji called {name!r}") + if variant is not None: + self._char += self.VARIANTS.get(variant, "") + + @classmethod + def replace(cls, text: str) -> str: + """Replace emoji markup with corresponding unicode characters. + + Args: + text (str): A string with emojis codes, e.g. "Hello :smiley:!" + + Returns: + str: A string with emoji codes replaces with actual emoji. + """ + return _emoji_replace(text) + + def __repr__(self) -> str: + return f"" + + def __str__(self) -> str: + return self._char + + def __rich_console__( + self, console: "Console", options: "ConsoleOptions" + ) -> "RenderResult": + yield Segment(self._char, console.get_style(self.style)) + + +if __name__ == "__main__": # pragma: no cover + import sys + + from pip._vendor.rich.columns import Columns + from pip._vendor.rich.console import Console + + console = Console(record=True) + + columns = Columns( + (f":{name}: {name}" for name in sorted(EMOJI.keys()) if "\u200D" not in name), + column_first=True, + ) + + console.print(columns) + if len(sys.argv) > 1: + console.save_html(sys.argv[1]) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/errors.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..0bcbe53ef59373c608e62ea285536f8b22b47ecb --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/errors.py @@ -0,0 +1,34 @@ +class ConsoleError(Exception): + """An error in console operation.""" + + +class StyleError(Exception): + """An error in styles.""" + + +class StyleSyntaxError(ConsoleError): + """Style was badly formatted.""" + + +class MissingStyle(StyleError): + """No such style.""" + + +class StyleStackError(ConsoleError): + """Style stack is invalid.""" + + +class NotRenderableError(ConsoleError): + """Object is not renderable.""" + + +class MarkupError(ConsoleError): + """Markup was badly formatted.""" + + +class LiveError(ConsoleError): + """Error related to Live display.""" + + +class NoAltScreen(ConsoleError): + """Alt screen mode was required.""" diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/jupyter.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/jupyter.py new file mode 100644 index 0000000000000000000000000000000000000000..22f4d716ac9764ee18005b9b852946d614152375 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/jupyter.py @@ -0,0 +1,101 @@ +from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Sequence + +if TYPE_CHECKING: + from pip._vendor.rich.console import ConsoleRenderable + +from . import get_console +from .segment import Segment +from .terminal_theme import DEFAULT_TERMINAL_THEME + +if TYPE_CHECKING: + from pip._vendor.rich.console import ConsoleRenderable + +JUPYTER_HTML_FORMAT = """\ +
{code}
+""" + + +class JupyterRenderable: + """A shim to write html to Jupyter notebook.""" + + def __init__(self, html: str, text: str) -> None: + self.html = html + self.text = text + + def _repr_mimebundle_( + self, include: Sequence[str], exclude: Sequence[str], **kwargs: Any + ) -> Dict[str, str]: + data = {"text/plain": self.text, "text/html": self.html} + if include: + data = {k: v for (k, v) in data.items() if k in include} + if exclude: + data = {k: v for (k, v) in data.items() if k not in exclude} + return data + + +class JupyterMixin: + """Add to an Rich renderable to make it render in Jupyter notebook.""" + + __slots__ = () + + def _repr_mimebundle_( + self: "ConsoleRenderable", + include: Sequence[str], + exclude: Sequence[str], + **kwargs: Any, + ) -> Dict[str, str]: + console = get_console() + segments = list(console.render(self, console.options)) + html = _render_segments(segments) + text = console._render_buffer(segments) + data = {"text/plain": text, "text/html": html} + if include: + data = {k: v for (k, v) in data.items() if k in include} + if exclude: + data = {k: v for (k, v) in data.items() if k not in exclude} + return data + + +def _render_segments(segments: Iterable[Segment]) -> str: + def escape(text: str) -> str: + """Escape html.""" + return text.replace("&", "&").replace("<", "<").replace(">", ">") + + fragments: List[str] = [] + append_fragment = fragments.append + theme = DEFAULT_TERMINAL_THEME + for text, style, control in Segment.simplify(segments): + if control: + continue + text = escape(text) + if style: + rule = style.get_html_style(theme) + text = f'{text}' if rule else text + if style.link: + text = f'{text}' + append_fragment(text) + + code = "".join(fragments) + html = JUPYTER_HTML_FORMAT.format(code=code) + + return html + + +def display(segments: Iterable[Segment], text: str) -> None: + """Render segments to Jupyter.""" + html = _render_segments(segments) + jupyter_renderable = JupyterRenderable(html, text) + try: + from IPython.display import display as ipython_display + + ipython_display(jupyter_renderable) + except ModuleNotFoundError: + # Handle the case where the Console has force_jupyter=True, + # but IPython is not installed. + pass + + +def print(*args: Any, **kwargs: Any) -> None: + """Proxy for Console print.""" + console = get_console() + return console.print(*args, **kwargs) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/layout.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/layout.py new file mode 100644 index 0000000000000000000000000000000000000000..a6f1a31b294101b04ec21432632889372b8ca446 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/layout.py @@ -0,0 +1,442 @@ +from abc import ABC, abstractmethod +from itertools import islice +from operator import itemgetter +from threading import RLock +from typing import ( + TYPE_CHECKING, + Dict, + Iterable, + List, + NamedTuple, + Optional, + Sequence, + Tuple, + Union, +) + +from ._ratio import ratio_resolve +from .align import Align +from .console import Console, ConsoleOptions, RenderableType, RenderResult +from .highlighter import ReprHighlighter +from .panel import Panel +from .pretty import Pretty +from .region import Region +from .repr import Result, rich_repr +from .segment import Segment +from .style import StyleType + +if TYPE_CHECKING: + from pip._vendor.rich.tree import Tree + + +class LayoutRender(NamedTuple): + """An individual layout render.""" + + region: Region + render: List[List[Segment]] + + +RegionMap = Dict["Layout", Region] +RenderMap = Dict["Layout", LayoutRender] + + +class LayoutError(Exception): + """Layout related error.""" + + +class NoSplitter(LayoutError): + """Requested splitter does not exist.""" + + +class _Placeholder: + """An internal renderable used as a Layout placeholder.""" + + highlighter = ReprHighlighter() + + def __init__(self, layout: "Layout", style: StyleType = "") -> None: + self.layout = layout + self.style = style + + def __rich_console__( + self, console: Console, options: ConsoleOptions + ) -> RenderResult: + width = options.max_width + height = options.height or options.size.height + layout = self.layout + title = ( + f"{layout.name!r} ({width} x {height})" + if layout.name + else f"({width} x {height})" + ) + yield Panel( + Align.center(Pretty(layout), vertical="middle"), + style=self.style, + title=self.highlighter(title), + border_style="blue", + height=height, + ) + + +class Splitter(ABC): + """Base class for a splitter.""" + + name: str = "" + + @abstractmethod + def get_tree_icon(self) -> str: + """Get the icon (emoji) used in layout.tree""" + + @abstractmethod + def divide( + self, children: Sequence["Layout"], region: Region + ) -> Iterable[Tuple["Layout", Region]]: + """Divide a region amongst several child layouts. + + Args: + children (Sequence(Layout)): A number of child layouts. + region (Region): A rectangular region to divide. + """ + + +class RowSplitter(Splitter): + """Split a layout region in to rows.""" + + name = "row" + + def get_tree_icon(self) -> str: + return "[layout.tree.row]⬌" + + def divide( + self, children: Sequence["Layout"], region: Region + ) -> Iterable[Tuple["Layout", Region]]: + x, y, width, height = region + render_widths = ratio_resolve(width, children) + offset = 0 + _Region = Region + for child, child_width in zip(children, render_widths): + yield child, _Region(x + offset, y, child_width, height) + offset += child_width + + +class ColumnSplitter(Splitter): + """Split a layout region in to columns.""" + + name = "column" + + def get_tree_icon(self) -> str: + return "[layout.tree.column]⬍" + + def divide( + self, children: Sequence["Layout"], region: Region + ) -> Iterable[Tuple["Layout", Region]]: + x, y, width, height = region + render_heights = ratio_resolve(height, children) + offset = 0 + _Region = Region + for child, child_height in zip(children, render_heights): + yield child, _Region(x, y + offset, width, child_height) + offset += child_height + + +@rich_repr +class Layout: + """A renderable to divide a fixed height in to rows or columns. + + Args: + renderable (RenderableType, optional): Renderable content, or None for placeholder. Defaults to None. + name (str, optional): Optional identifier for Layout. Defaults to None. + size (int, optional): Optional fixed size of layout. Defaults to None. + minimum_size (int, optional): Minimum size of layout. Defaults to 1. + ratio (int, optional): Optional ratio for flexible layout. Defaults to 1. + visible (bool, optional): Visibility of layout. Defaults to True. + """ + + splitters = {"row": RowSplitter, "column": ColumnSplitter} + + def __init__( + self, + renderable: Optional[RenderableType] = None, + *, + name: Optional[str] = None, + size: Optional[int] = None, + minimum_size: int = 1, + ratio: int = 1, + visible: bool = True, + ) -> None: + self._renderable = renderable or _Placeholder(self) + self.size = size + self.minimum_size = minimum_size + self.ratio = ratio + self.name = name + self.visible = visible + self.splitter: Splitter = self.splitters["column"]() + self._children: List[Layout] = [] + self._render_map: RenderMap = {} + self._lock = RLock() + + def __rich_repr__(self) -> Result: + yield "name", self.name, None + yield "size", self.size, None + yield "minimum_size", self.minimum_size, 1 + yield "ratio", self.ratio, 1 + + @property + def renderable(self) -> RenderableType: + """Layout renderable.""" + return self if self._children else self._renderable + + @property + def children(self) -> List["Layout"]: + """Gets (visible) layout children.""" + return [child for child in self._children if child.visible] + + @property + def map(self) -> RenderMap: + """Get a map of the last render.""" + return self._render_map + + def get(self, name: str) -> Optional["Layout"]: + """Get a named layout, or None if it doesn't exist. + + Args: + name (str): Name of layout. + + Returns: + Optional[Layout]: Layout instance or None if no layout was found. + """ + if self.name == name: + return self + else: + for child in self._children: + named_layout = child.get(name) + if named_layout is not None: + return named_layout + return None + + def __getitem__(self, name: str) -> "Layout": + layout = self.get(name) + if layout is None: + raise KeyError(f"No layout with name {name!r}") + return layout + + @property + def tree(self) -> "Tree": + """Get a tree renderable to show layout structure.""" + from pip._vendor.rich.styled import Styled + from pip._vendor.rich.table import Table + from pip._vendor.rich.tree import Tree + + def summary(layout: "Layout") -> Table: + icon = layout.splitter.get_tree_icon() + + table = Table.grid(padding=(0, 1, 0, 0)) + + text: RenderableType = ( + Pretty(layout) if layout.visible else Styled(Pretty(layout), "dim") + ) + table.add_row(icon, text) + _summary = table + return _summary + + layout = self + tree = Tree( + summary(layout), + guide_style=f"layout.tree.{layout.splitter.name}", + highlight=True, + ) + + def recurse(tree: "Tree", layout: "Layout") -> None: + for child in layout._children: + recurse( + tree.add( + summary(child), + guide_style=f"layout.tree.{child.splitter.name}", + ), + child, + ) + + recurse(tree, self) + return tree + + def split( + self, + *layouts: Union["Layout", RenderableType], + splitter: Union[Splitter, str] = "column", + ) -> None: + """Split the layout in to multiple sub-layouts. + + Args: + *layouts (Layout): Positional arguments should be (sub) Layout instances. + splitter (Union[Splitter, str]): Splitter instance or name of splitter. + """ + _layouts = [ + layout if isinstance(layout, Layout) else Layout(layout) + for layout in layouts + ] + try: + self.splitter = ( + splitter + if isinstance(splitter, Splitter) + else self.splitters[splitter]() + ) + except KeyError: + raise NoSplitter(f"No splitter called {splitter!r}") + self._children[:] = _layouts + + def add_split(self, *layouts: Union["Layout", RenderableType]) -> None: + """Add a new layout(s) to existing split. + + Args: + *layouts (Union[Layout, RenderableType]): Positional arguments should be renderables or (sub) Layout instances. + + """ + _layouts = ( + layout if isinstance(layout, Layout) else Layout(layout) + for layout in layouts + ) + self._children.extend(_layouts) + + def split_row(self, *layouts: Union["Layout", RenderableType]) -> None: + """Split the layout in to a row (layouts side by side). + + Args: + *layouts (Layout): Positional arguments should be (sub) Layout instances. + """ + self.split(*layouts, splitter="row") + + def split_column(self, *layouts: Union["Layout", RenderableType]) -> None: + """Split the layout in to a column (layouts stacked on top of each other). + + Args: + *layouts (Layout): Positional arguments should be (sub) Layout instances. + """ + self.split(*layouts, splitter="column") + + def unsplit(self) -> None: + """Reset splits to initial state.""" + del self._children[:] + + def update(self, renderable: RenderableType) -> None: + """Update renderable. + + Args: + renderable (RenderableType): New renderable object. + """ + with self._lock: + self._renderable = renderable + + def refresh_screen(self, console: "Console", layout_name: str) -> None: + """Refresh a sub-layout. + + Args: + console (Console): Console instance where Layout is to be rendered. + layout_name (str): Name of layout. + """ + with self._lock: + layout = self[layout_name] + region, _lines = self._render_map[layout] + (x, y, width, height) = region + lines = console.render_lines( + layout, console.options.update_dimensions(width, height) + ) + self._render_map[layout] = LayoutRender(region, lines) + console.update_screen_lines(lines, x, y) + + def _make_region_map(self, width: int, height: int) -> RegionMap: + """Create a dict that maps layout on to Region.""" + stack: List[Tuple[Layout, Region]] = [(self, Region(0, 0, width, height))] + push = stack.append + pop = stack.pop + layout_regions: List[Tuple[Layout, Region]] = [] + append_layout_region = layout_regions.append + while stack: + append_layout_region(pop()) + layout, region = layout_regions[-1] + children = layout.children + if children: + for child_and_region in layout.splitter.divide(children, region): + push(child_and_region) + + region_map = { + layout: region + for layout, region in sorted(layout_regions, key=itemgetter(1)) + } + return region_map + + def render(self, console: Console, options: ConsoleOptions) -> RenderMap: + """Render the sub_layouts. + + Args: + console (Console): Console instance. + options (ConsoleOptions): Console options. + + Returns: + RenderMap: A dict that maps Layout on to a tuple of Region, lines + """ + render_width = options.max_width + render_height = options.height or console.height + region_map = self._make_region_map(render_width, render_height) + layout_regions = [ + (layout, region) + for layout, region in region_map.items() + if not layout.children + ] + render_map: Dict["Layout", "LayoutRender"] = {} + render_lines = console.render_lines + update_dimensions = options.update_dimensions + + for layout, region in layout_regions: + lines = render_lines( + layout.renderable, update_dimensions(region.width, region.height) + ) + render_map[layout] = LayoutRender(region, lines) + return render_map + + def __rich_console__( + self, console: Console, options: ConsoleOptions + ) -> RenderResult: + with self._lock: + width = options.max_width or console.width + height = options.height or console.height + render_map = self.render(console, options.update_dimensions(width, height)) + self._render_map = render_map + layout_lines: List[List[Segment]] = [[] for _ in range(height)] + _islice = islice + for region, lines in render_map.values(): + _x, y, _layout_width, layout_height = region + for row, line in zip( + _islice(layout_lines, y, y + layout_height), lines + ): + row.extend(line) + + new_line = Segment.line() + for layout_row in layout_lines: + yield from layout_row + yield new_line + + +if __name__ == "__main__": + from pip._vendor.rich.console import Console + + console = Console() + layout = Layout() + + layout.split_column( + Layout(name="header", size=3), + Layout(ratio=1, name="main"), + Layout(size=10, name="footer"), + ) + + layout["main"].split_row(Layout(name="side"), Layout(name="body", ratio=2)) + + layout["body"].split_row(Layout(name="content", ratio=2), Layout(name="s2")) + + layout["s2"].split_column( + Layout(name="top"), Layout(name="middle"), Layout(name="bottom") + ) + + layout["side"].split_column(Layout(layout.tree, name="left1"), Layout(name="left2")) + + layout["content"].update("foo") + + console.print(layout) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/live.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/live.py new file mode 100644 index 0000000000000000000000000000000000000000..8738cf09f494e12ab9a38119f3558ae9419de7e6 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/live.py @@ -0,0 +1,375 @@ +import sys +from threading import Event, RLock, Thread +from types import TracebackType +from typing import IO, Any, Callable, List, Optional, TextIO, Type, cast + +from . import get_console +from .console import Console, ConsoleRenderable, RenderableType, RenderHook +from .control import Control +from .file_proxy import FileProxy +from .jupyter import JupyterMixin +from .live_render import LiveRender, VerticalOverflowMethod +from .screen import Screen +from .text import Text + + +class _RefreshThread(Thread): + """A thread that calls refresh() at regular intervals.""" + + def __init__(self, live: "Live", refresh_per_second: float) -> None: + self.live = live + self.refresh_per_second = refresh_per_second + self.done = Event() + super().__init__(daemon=True) + + def stop(self) -> None: + self.done.set() + + def run(self) -> None: + while not self.done.wait(1 / self.refresh_per_second): + with self.live._lock: + if not self.done.is_set(): + self.live.refresh() + + +class Live(JupyterMixin, RenderHook): + """Renders an auto-updating live display of any given renderable. + + Args: + renderable (RenderableType, optional): The renderable to live display. Defaults to displaying nothing. + console (Console, optional): Optional Console instance. Defaults to an internal Console instance writing to stdout. + screen (bool, optional): Enable alternate screen mode. Defaults to False. + auto_refresh (bool, optional): Enable auto refresh. If disabled, you will need to call `refresh()` or `update()` with refresh flag. Defaults to True + refresh_per_second (float, optional): Number of times per second to refresh the live display. Defaults to 4. + transient (bool, optional): Clear the renderable on exit (has no effect when screen=True). Defaults to False. + redirect_stdout (bool, optional): Enable redirection of stdout, so ``print`` may be used. Defaults to True. + redirect_stderr (bool, optional): Enable redirection of stderr. Defaults to True. + vertical_overflow (VerticalOverflowMethod, optional): How to handle renderable when it is too tall for the console. Defaults to "ellipsis". + get_renderable (Callable[[], RenderableType], optional): Optional callable to get renderable. Defaults to None. + """ + + def __init__( + self, + renderable: Optional[RenderableType] = None, + *, + console: Optional[Console] = None, + screen: bool = False, + auto_refresh: bool = True, + refresh_per_second: float = 4, + transient: bool = False, + redirect_stdout: bool = True, + redirect_stderr: bool = True, + vertical_overflow: VerticalOverflowMethod = "ellipsis", + get_renderable: Optional[Callable[[], RenderableType]] = None, + ) -> None: + assert refresh_per_second > 0, "refresh_per_second must be > 0" + self._renderable = renderable + self.console = console if console is not None else get_console() + self._screen = screen + self._alt_screen = False + + self._redirect_stdout = redirect_stdout + self._redirect_stderr = redirect_stderr + self._restore_stdout: Optional[IO[str]] = None + self._restore_stderr: Optional[IO[str]] = None + + self._lock = RLock() + self.ipy_widget: Optional[Any] = None + self.auto_refresh = auto_refresh + self._started: bool = False + self.transient = True if screen else transient + + self._refresh_thread: Optional[_RefreshThread] = None + self.refresh_per_second = refresh_per_second + + self.vertical_overflow = vertical_overflow + self._get_renderable = get_renderable + self._live_render = LiveRender( + self.get_renderable(), vertical_overflow=vertical_overflow + ) + + @property + def is_started(self) -> bool: + """Check if live display has been started.""" + return self._started + + def get_renderable(self) -> RenderableType: + renderable = ( + self._get_renderable() + if self._get_renderable is not None + else self._renderable + ) + return renderable or "" + + def start(self, refresh: bool = False) -> None: + """Start live rendering display. + + Args: + refresh (bool, optional): Also refresh. Defaults to False. + """ + with self._lock: + if self._started: + return + self.console.set_live(self) + self._started = True + if self._screen: + self._alt_screen = self.console.set_alt_screen(True) + self.console.show_cursor(False) + self._enable_redirect_io() + self.console.push_render_hook(self) + if refresh: + try: + self.refresh() + except Exception: + # If refresh fails, we want to stop the redirection of sys.stderr, + # so the error stacktrace is properly displayed in the terminal. + # (or, if the code that calls Rich captures the exception and wants to display something, + # let this be displayed in the terminal). + self.stop() + raise + if self.auto_refresh: + self._refresh_thread = _RefreshThread(self, self.refresh_per_second) + self._refresh_thread.start() + + def stop(self) -> None: + """Stop live rendering display.""" + with self._lock: + if not self._started: + return + self.console.clear_live() + self._started = False + + if self.auto_refresh and self._refresh_thread is not None: + self._refresh_thread.stop() + self._refresh_thread = None + # allow it to fully render on the last even if overflow + self.vertical_overflow = "visible" + with self.console: + try: + if not self._alt_screen and not self.console.is_jupyter: + self.refresh() + finally: + self._disable_redirect_io() + self.console.pop_render_hook() + if not self._alt_screen and self.console.is_terminal: + self.console.line() + self.console.show_cursor(True) + if self._alt_screen: + self.console.set_alt_screen(False) + + if self.transient and not self._alt_screen: + self.console.control(self._live_render.restore_cursor()) + if self.ipy_widget is not None and self.transient: + self.ipy_widget.close() # pragma: no cover + + def __enter__(self) -> "Live": + self.start(refresh=self._renderable is not None) + return self + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_val: Optional[BaseException], + exc_tb: Optional[TracebackType], + ) -> None: + self.stop() + + def _enable_redirect_io(self) -> None: + """Enable redirecting of stdout / stderr.""" + if self.console.is_terminal or self.console.is_jupyter: + if self._redirect_stdout and not isinstance(sys.stdout, FileProxy): + self._restore_stdout = sys.stdout + sys.stdout = cast("TextIO", FileProxy(self.console, sys.stdout)) + if self._redirect_stderr and not isinstance(sys.stderr, FileProxy): + self._restore_stderr = sys.stderr + sys.stderr = cast("TextIO", FileProxy(self.console, sys.stderr)) + + def _disable_redirect_io(self) -> None: + """Disable redirecting of stdout / stderr.""" + if self._restore_stdout: + sys.stdout = cast("TextIO", self._restore_stdout) + self._restore_stdout = None + if self._restore_stderr: + sys.stderr = cast("TextIO", self._restore_stderr) + self._restore_stderr = None + + @property + def renderable(self) -> RenderableType: + """Get the renderable that is being displayed + + Returns: + RenderableType: Displayed renderable. + """ + renderable = self.get_renderable() + return Screen(renderable) if self._alt_screen else renderable + + def update(self, renderable: RenderableType, *, refresh: bool = False) -> None: + """Update the renderable that is being displayed + + Args: + renderable (RenderableType): New renderable to use. + refresh (bool, optional): Refresh the display. Defaults to False. + """ + if isinstance(renderable, str): + renderable = self.console.render_str(renderable) + with self._lock: + self._renderable = renderable + if refresh: + self.refresh() + + def refresh(self) -> None: + """Update the display of the Live Render.""" + with self._lock: + self._live_render.set_renderable(self.renderable) + if self.console.is_jupyter: # pragma: no cover + try: + from IPython.display import display + from ipywidgets import Output + except ImportError: + import warnings + + warnings.warn('install "ipywidgets" for Jupyter support') + else: + if self.ipy_widget is None: + self.ipy_widget = Output() + display(self.ipy_widget) + + with self.ipy_widget: + self.ipy_widget.clear_output(wait=True) + self.console.print(self._live_render.renderable) + elif self.console.is_terminal and not self.console.is_dumb_terminal: + with self.console: + self.console.print(Control()) + elif ( + not self._started and not self.transient + ): # if it is finished allow files or dumb-terminals to see final result + with self.console: + self.console.print(Control()) + + def process_renderables( + self, renderables: List[ConsoleRenderable] + ) -> List[ConsoleRenderable]: + """Process renderables to restore cursor and display progress.""" + self._live_render.vertical_overflow = self.vertical_overflow + if self.console.is_interactive: + # lock needs acquiring as user can modify live_render renderable at any time unlike in Progress. + with self._lock: + reset = ( + Control.home() + if self._alt_screen + else self._live_render.position_cursor() + ) + renderables = [reset, *renderables, self._live_render] + elif ( + not self._started and not self.transient + ): # if it is finished render the final output for files or dumb_terminals + renderables = [*renderables, self._live_render] + + return renderables + + +if __name__ == "__main__": # pragma: no cover + import random + import time + from itertools import cycle + from typing import Dict, List, Tuple + + from .align import Align + from .console import Console + from .live import Live as Live + from .panel import Panel + from .rule import Rule + from .syntax import Syntax + from .table import Table + + console = Console() + + syntax = Syntax( + '''def loop_last(values: Iterable[T]) -> Iterable[Tuple[bool, T]]: + """Iterate and generate a tuple with a flag for last value.""" + iter_values = iter(values) + try: + previous_value = next(iter_values) + except StopIteration: + return + for value in iter_values: + yield False, previous_value + previous_value = value + yield True, previous_value''', + "python", + line_numbers=True, + ) + + table = Table("foo", "bar", "baz") + table.add_row("1", "2", "3") + + progress_renderables = [ + "You can make the terminal shorter and taller to see the live table hide" + "Text may be printed while the progress bars are rendering.", + Panel("In fact, [i]any[/i] renderable will work"), + "Such as [magenta]tables[/]...", + table, + "Pretty printed structures...", + {"type": "example", "text": "Pretty printed"}, + "Syntax...", + syntax, + Rule("Give it a try!"), + ] + + examples = cycle(progress_renderables) + + exchanges = [ + "SGD", + "MYR", + "EUR", + "USD", + "AUD", + "JPY", + "CNH", + "HKD", + "CAD", + "INR", + "DKK", + "GBP", + "RUB", + "NZD", + "MXN", + "IDR", + "TWD", + "THB", + "VND", + ] + with Live(console=console) as live_table: + exchange_rate_dict: Dict[Tuple[str, str], float] = {} + + for index in range(100): + select_exchange = exchanges[index % len(exchanges)] + + for exchange in exchanges: + if exchange == select_exchange: + continue + time.sleep(0.4) + if random.randint(0, 10) < 1: + console.log(next(examples)) + exchange_rate_dict[(select_exchange, exchange)] = 200 / ( + (random.random() * 320) + 1 + ) + if len(exchange_rate_dict) > len(exchanges) - 1: + exchange_rate_dict.pop(list(exchange_rate_dict.keys())[0]) + table = Table(title="Exchange Rates") + + table.add_column("Source Currency") + table.add_column("Destination Currency") + table.add_column("Exchange Rate") + + for (source, dest), exchange_rate in exchange_rate_dict.items(): + table.add_row( + source, + dest, + Text( + f"{exchange_rate:.4f}", + style="red" if exchange_rate < 1.0 else "green", + ), + ) + + live_table.update(Align.center(table)) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/live_render.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/live_render.py new file mode 100644 index 0000000000000000000000000000000000000000..e20745df6bfd088bfbae3aeca17924a5836cfb0e --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/live_render.py @@ -0,0 +1,112 @@ +import sys +from typing import Optional, Tuple + +if sys.version_info >= (3, 8): + from typing import Literal +else: + from pip._vendor.typing_extensions import Literal # pragma: no cover + + +from ._loop import loop_last +from .console import Console, ConsoleOptions, RenderableType, RenderResult +from .control import Control +from .segment import ControlType, Segment +from .style import StyleType +from .text import Text + +VerticalOverflowMethod = Literal["crop", "ellipsis", "visible"] + + +class LiveRender: + """Creates a renderable that may be updated. + + Args: + renderable (RenderableType): Any renderable object. + style (StyleType, optional): An optional style to apply to the renderable. Defaults to "". + """ + + def __init__( + self, + renderable: RenderableType, + style: StyleType = "", + vertical_overflow: VerticalOverflowMethod = "ellipsis", + ) -> None: + self.renderable = renderable + self.style = style + self.vertical_overflow = vertical_overflow + self._shape: Optional[Tuple[int, int]] = None + + def set_renderable(self, renderable: RenderableType) -> None: + """Set a new renderable. + + Args: + renderable (RenderableType): Any renderable object, including str. + """ + self.renderable = renderable + + def position_cursor(self) -> Control: + """Get control codes to move cursor to beginning of live render. + + Returns: + Control: A control instance that may be printed. + """ + if self._shape is not None: + _, height = self._shape + return Control( + ControlType.CARRIAGE_RETURN, + (ControlType.ERASE_IN_LINE, 2), + *( + ( + (ControlType.CURSOR_UP, 1), + (ControlType.ERASE_IN_LINE, 2), + ) + * (height - 1) + ) + ) + return Control() + + def restore_cursor(self) -> Control: + """Get control codes to clear the render and restore the cursor to its previous position. + + Returns: + Control: A Control instance that may be printed. + """ + if self._shape is not None: + _, height = self._shape + return Control( + ControlType.CARRIAGE_RETURN, + *((ControlType.CURSOR_UP, 1), (ControlType.ERASE_IN_LINE, 2)) * height + ) + return Control() + + def __rich_console__( + self, console: Console, options: ConsoleOptions + ) -> RenderResult: + renderable = self.renderable + style = console.get_style(self.style) + lines = console.render_lines(renderable, options, style=style, pad=False) + shape = Segment.get_shape(lines) + + _, height = shape + if height > options.size.height: + if self.vertical_overflow == "crop": + lines = lines[: options.size.height] + shape = Segment.get_shape(lines) + elif self.vertical_overflow == "ellipsis": + lines = lines[: (options.size.height - 1)] + overflow_text = Text( + "...", + overflow="crop", + justify="center", + end="", + style="live.ellipsis", + ) + lines.append(list(console.render(overflow_text))) + shape = Segment.get_shape(lines) + self._shape = shape + + new_line = Segment.line() + for last, line in loop_last(lines): + yield from line + if not last: + yield new_line diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/measure.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/measure.py new file mode 100644 index 0000000000000000000000000000000000000000..a508ffa80bd715b47c190ed9d747dbc388fa5b19 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/measure.py @@ -0,0 +1,151 @@ +from operator import itemgetter +from typing import TYPE_CHECKING, Callable, NamedTuple, Optional, Sequence + +from . import errors +from .protocol import is_renderable, rich_cast + +if TYPE_CHECKING: + from .console import Console, ConsoleOptions, RenderableType + + +class Measurement(NamedTuple): + """Stores the minimum and maximum widths (in characters) required to render an object.""" + + minimum: int + """Minimum number of cells required to render.""" + maximum: int + """Maximum number of cells required to render.""" + + @property + def span(self) -> int: + """Get difference between maximum and minimum.""" + return self.maximum - self.minimum + + def normalize(self) -> "Measurement": + """Get measurement that ensures that minimum <= maximum and minimum >= 0 + + Returns: + Measurement: A normalized measurement. + """ + minimum, maximum = self + minimum = min(max(0, minimum), maximum) + return Measurement(max(0, minimum), max(0, max(minimum, maximum))) + + def with_maximum(self, width: int) -> "Measurement": + """Get a RenderableWith where the widths are <= width. + + Args: + width (int): Maximum desired width. + + Returns: + Measurement: New Measurement object. + """ + minimum, maximum = self + return Measurement(min(minimum, width), min(maximum, width)) + + def with_minimum(self, width: int) -> "Measurement": + """Get a RenderableWith where the widths are >= width. + + Args: + width (int): Minimum desired width. + + Returns: + Measurement: New Measurement object. + """ + minimum, maximum = self + width = max(0, width) + return Measurement(max(minimum, width), max(maximum, width)) + + def clamp( + self, min_width: Optional[int] = None, max_width: Optional[int] = None + ) -> "Measurement": + """Clamp a measurement within the specified range. + + Args: + min_width (int): Minimum desired width, or ``None`` for no minimum. Defaults to None. + max_width (int): Maximum desired width, or ``None`` for no maximum. Defaults to None. + + Returns: + Measurement: New Measurement object. + """ + measurement = self + if min_width is not None: + measurement = measurement.with_minimum(min_width) + if max_width is not None: + measurement = measurement.with_maximum(max_width) + return measurement + + @classmethod + def get( + cls, console: "Console", options: "ConsoleOptions", renderable: "RenderableType" + ) -> "Measurement": + """Get a measurement for a renderable. + + Args: + console (~rich.console.Console): Console instance. + options (~rich.console.ConsoleOptions): Console options. + renderable (RenderableType): An object that may be rendered with Rich. + + Raises: + errors.NotRenderableError: If the object is not renderable. + + Returns: + Measurement: Measurement object containing range of character widths required to render the object. + """ + _max_width = options.max_width + if _max_width < 1: + return Measurement(0, 0) + if isinstance(renderable, str): + renderable = console.render_str( + renderable, markup=options.markup, highlight=False + ) + renderable = rich_cast(renderable) + if is_renderable(renderable): + get_console_width: Optional[ + Callable[["Console", "ConsoleOptions"], "Measurement"] + ] = getattr(renderable, "__rich_measure__", None) + if get_console_width is not None: + render_width = ( + get_console_width(console, options) + .normalize() + .with_maximum(_max_width) + ) + if render_width.maximum < 1: + return Measurement(0, 0) + return render_width.normalize() + else: + return Measurement(0, _max_width) + else: + raise errors.NotRenderableError( + f"Unable to get render width for {renderable!r}; " + "a str, Segment, or object with __rich_console__ method is required" + ) + + +def measure_renderables( + console: "Console", + options: "ConsoleOptions", + renderables: Sequence["RenderableType"], +) -> "Measurement": + """Get a measurement that would fit a number of renderables. + + Args: + console (~rich.console.Console): Console instance. + options (~rich.console.ConsoleOptions): Console options. + renderables (Iterable[RenderableType]): One or more renderable objects. + + Returns: + Measurement: Measurement object containing range of character widths required to + contain all given renderables. + """ + if not renderables: + return Measurement(0, 0) + get_measurement = Measurement.get + measurements = [ + get_measurement(console, options, renderable) for renderable in renderables + ] + measured_width = Measurement( + max(measurements, key=itemgetter(0)).minimum, + max(measurements, key=itemgetter(1)).maximum, + ) + return measured_width diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/pager.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/pager.py new file mode 100644 index 0000000000000000000000000000000000000000..a3f7aa62af1ee2690e1e17ee41f3c368953625b8 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/pager.py @@ -0,0 +1,34 @@ +from abc import ABC, abstractmethod +from typing import Any + + +class Pager(ABC): + """Base class for a pager.""" + + @abstractmethod + def show(self, content: str) -> None: + """Show content in pager. + + Args: + content (str): Content to be displayed. + """ + + +class SystemPager(Pager): + """Uses the pager installed on the system.""" + + def _pager(self, content: str) -> Any: #  pragma: no cover + return __import__("pydoc").pager(content) + + def show(self, content: str) -> None: + """Use the same pager used by pydoc.""" + self._pager(content) + + +if __name__ == "__main__": # pragma: no cover + from .__main__ import make_test_card + from .console import Console + + console = Console() + with console.pager(styles=True): + console.print(make_test_card()) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/pretty.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/pretty.py new file mode 100644 index 0000000000000000000000000000000000000000..c4a274f8cd72ecdcff6ac13e2eb473983998904d --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/pretty.py @@ -0,0 +1,1016 @@ +import builtins +import collections +import dataclasses +import inspect +import os +import reprlib +import sys +from array import array +from collections import Counter, UserDict, UserList, defaultdict, deque +from dataclasses import dataclass, fields, is_dataclass +from inspect import isclass +from itertools import islice +from types import MappingProxyType +from typing import ( + TYPE_CHECKING, + Any, + Callable, + DefaultDict, + Deque, + Dict, + Iterable, + List, + Optional, + Sequence, + Set, + Tuple, + Union, +) + +from pip._vendor.rich.repr import RichReprResult + +try: + import attr as _attr_module + + _has_attrs = hasattr(_attr_module, "ib") +except ImportError: # pragma: no cover + _has_attrs = False + +from . import get_console +from ._loop import loop_last +from ._pick import pick_bool +from .abc import RichRenderable +from .cells import cell_len +from .highlighter import ReprHighlighter +from .jupyter import JupyterMixin, JupyterRenderable +from .measure import Measurement +from .text import Text + +if TYPE_CHECKING: + from .console import ( + Console, + ConsoleOptions, + HighlighterType, + JustifyMethod, + OverflowMethod, + RenderResult, + ) + + +def _is_attr_object(obj: Any) -> bool: + """Check if an object was created with attrs module.""" + return _has_attrs and _attr_module.has(type(obj)) + + +def _get_attr_fields(obj: Any) -> Sequence["_attr_module.Attribute[Any]"]: + """Get fields for an attrs object.""" + return _attr_module.fields(type(obj)) if _has_attrs else [] + + +def _is_dataclass_repr(obj: object) -> bool: + """Check if an instance of a dataclass contains the default repr. + + Args: + obj (object): A dataclass instance. + + Returns: + bool: True if the default repr is used, False if there is a custom repr. + """ + # Digging in to a lot of internals here + # Catching all exceptions in case something is missing on a non CPython implementation + try: + return obj.__repr__.__code__.co_filename in ( + dataclasses.__file__, + reprlib.__file__, + ) + except Exception: # pragma: no coverage + return False + + +_dummy_namedtuple = collections.namedtuple("_dummy_namedtuple", []) + + +def _has_default_namedtuple_repr(obj: object) -> bool: + """Check if an instance of namedtuple contains the default repr + + Args: + obj (object): A namedtuple + + Returns: + bool: True if the default repr is used, False if there's a custom repr. + """ + obj_file = None + try: + obj_file = inspect.getfile(obj.__repr__) + except (OSError, TypeError): + # OSError handles case where object is defined in __main__ scope, e.g. REPL - no filename available. + # TypeError trapped defensively, in case of object without filename slips through. + pass + default_repr_file = inspect.getfile(_dummy_namedtuple.__repr__) + return obj_file == default_repr_file + + +def _ipy_display_hook( + value: Any, + console: Optional["Console"] = None, + overflow: "OverflowMethod" = "ignore", + crop: bool = False, + indent_guides: bool = False, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, + expand_all: bool = False, +) -> Union[str, None]: + # needed here to prevent circular import: + from .console import ConsoleRenderable + + # always skip rich generated jupyter renderables or None values + if _safe_isinstance(value, JupyterRenderable) or value is None: + return None + + console = console or get_console() + + with console.capture() as capture: + # certain renderables should start on a new line + if _safe_isinstance(value, ConsoleRenderable): + console.line() + console.print( + ( + value + if _safe_isinstance(value, RichRenderable) + else Pretty( + value, + overflow=overflow, + indent_guides=indent_guides, + max_length=max_length, + max_string=max_string, + max_depth=max_depth, + expand_all=expand_all, + margin=12, + ) + ), + crop=crop, + new_line_start=True, + end="", + ) + # strip trailing newline, not usually part of a text repr + # I'm not sure if this should be prevented at a lower level + return capture.get().rstrip("\n") + + +def _safe_isinstance( + obj: object, class_or_tuple: Union[type, Tuple[type, ...]] +) -> bool: + """isinstance can fail in rare cases, for example types with no __class__""" + try: + return isinstance(obj, class_or_tuple) + except Exception: + return False + + +def install( + console: Optional["Console"] = None, + overflow: "OverflowMethod" = "ignore", + crop: bool = False, + indent_guides: bool = False, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, + expand_all: bool = False, +) -> None: + """Install automatic pretty printing in the Python REPL. + + Args: + console (Console, optional): Console instance or ``None`` to use global console. Defaults to None. + overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore". + crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False. + indent_guides (bool, optional): Enable indentation guides. Defaults to False. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None. + max_depth (int, optional): Maximum depth of nested data structures, or None for no maximum. Defaults to None. + expand_all (bool, optional): Expand all containers. Defaults to False. + max_frames (int): Maximum number of frames to show in a traceback, 0 for no maximum. Defaults to 100. + """ + from pip._vendor.rich import get_console + + console = console or get_console() + assert console is not None + + def display_hook(value: Any) -> None: + """Replacement sys.displayhook which prettifies objects with Rich.""" + if value is not None: + assert console is not None + builtins._ = None # type: ignore[attr-defined] + console.print( + ( + value + if _safe_isinstance(value, RichRenderable) + else Pretty( + value, + overflow=overflow, + indent_guides=indent_guides, + max_length=max_length, + max_string=max_string, + max_depth=max_depth, + expand_all=expand_all, + ) + ), + crop=crop, + ) + builtins._ = value # type: ignore[attr-defined] + + try: + ip = get_ipython() # type: ignore[name-defined] + except NameError: + sys.displayhook = display_hook + else: + from IPython.core.formatters import BaseFormatter + + class RichFormatter(BaseFormatter): # type: ignore[misc] + pprint: bool = True + + def __call__(self, value: Any) -> Any: + if self.pprint: + return _ipy_display_hook( + value, + console=get_console(), + overflow=overflow, + indent_guides=indent_guides, + max_length=max_length, + max_string=max_string, + max_depth=max_depth, + expand_all=expand_all, + ) + else: + return repr(value) + + # replace plain text formatter with rich formatter + rich_formatter = RichFormatter() + ip.display_formatter.formatters["text/plain"] = rich_formatter + + +class Pretty(JupyterMixin): + """A rich renderable that pretty prints an object. + + Args: + _object (Any): An object to pretty print. + highlighter (HighlighterType, optional): Highlighter object to apply to result, or None for ReprHighlighter. Defaults to None. + indent_size (int, optional): Number of spaces in indent. Defaults to 4. + justify (JustifyMethod, optional): Justify method, or None for default. Defaults to None. + overflow (OverflowMethod, optional): Overflow method, or None for default. Defaults to None. + no_wrap (Optional[bool], optional): Disable word wrapping. Defaults to False. + indent_guides (bool, optional): Enable indentation guides. Defaults to False. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None. + max_depth (int, optional): Maximum depth of nested data structures, or None for no maximum. Defaults to None. + expand_all (bool, optional): Expand all containers. Defaults to False. + margin (int, optional): Subtrace a margin from width to force containers to expand earlier. Defaults to 0. + insert_line (bool, optional): Insert a new line if the output has multiple new lines. Defaults to False. + """ + + def __init__( + self, + _object: Any, + highlighter: Optional["HighlighterType"] = None, + *, + indent_size: int = 4, + justify: Optional["JustifyMethod"] = None, + overflow: Optional["OverflowMethod"] = None, + no_wrap: Optional[bool] = False, + indent_guides: bool = False, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, + expand_all: bool = False, + margin: int = 0, + insert_line: bool = False, + ) -> None: + self._object = _object + self.highlighter = highlighter or ReprHighlighter() + self.indent_size = indent_size + self.justify: Optional["JustifyMethod"] = justify + self.overflow: Optional["OverflowMethod"] = overflow + self.no_wrap = no_wrap + self.indent_guides = indent_guides + self.max_length = max_length + self.max_string = max_string + self.max_depth = max_depth + self.expand_all = expand_all + self.margin = margin + self.insert_line = insert_line + + def __rich_console__( + self, console: "Console", options: "ConsoleOptions" + ) -> "RenderResult": + pretty_str = pretty_repr( + self._object, + max_width=options.max_width - self.margin, + indent_size=self.indent_size, + max_length=self.max_length, + max_string=self.max_string, + max_depth=self.max_depth, + expand_all=self.expand_all, + ) + pretty_text = Text.from_ansi( + pretty_str, + justify=self.justify or options.justify, + overflow=self.overflow or options.overflow, + no_wrap=pick_bool(self.no_wrap, options.no_wrap), + style="pretty", + ) + pretty_text = ( + self.highlighter(pretty_text) + if pretty_text + else Text( + f"{type(self._object)}.__repr__ returned empty string", + style="dim italic", + ) + ) + if self.indent_guides and not options.ascii_only: + pretty_text = pretty_text.with_indent_guides( + self.indent_size, style="repr.indent" + ) + if self.insert_line and "\n" in pretty_text: + yield "" + yield pretty_text + + def __rich_measure__( + self, console: "Console", options: "ConsoleOptions" + ) -> "Measurement": + pretty_str = pretty_repr( + self._object, + max_width=options.max_width, + indent_size=self.indent_size, + max_length=self.max_length, + max_string=self.max_string, + max_depth=self.max_depth, + expand_all=self.expand_all, + ) + text_width = ( + max(cell_len(line) for line in pretty_str.splitlines()) if pretty_str else 0 + ) + return Measurement(text_width, text_width) + + +def _get_braces_for_defaultdict(_object: DefaultDict[Any, Any]) -> Tuple[str, str, str]: + return ( + f"defaultdict({_object.default_factory!r}, {{", + "})", + f"defaultdict({_object.default_factory!r}, {{}})", + ) + + +def _get_braces_for_deque(_object: Deque[Any]) -> Tuple[str, str, str]: + if _object.maxlen is None: + return ("deque([", "])", "deque()") + return ( + "deque([", + f"], maxlen={_object.maxlen})", + f"deque(maxlen={_object.maxlen})", + ) + + +def _get_braces_for_array(_object: "array[Any]") -> Tuple[str, str, str]: + return (f"array({_object.typecode!r}, [", "])", f"array({_object.typecode!r})") + + +_BRACES: Dict[type, Callable[[Any], Tuple[str, str, str]]] = { + os._Environ: lambda _object: ("environ({", "})", "environ({})"), + array: _get_braces_for_array, + defaultdict: _get_braces_for_defaultdict, + Counter: lambda _object: ("Counter({", "})", "Counter()"), + deque: _get_braces_for_deque, + dict: lambda _object: ("{", "}", "{}"), + UserDict: lambda _object: ("{", "}", "{}"), + frozenset: lambda _object: ("frozenset({", "})", "frozenset()"), + list: lambda _object: ("[", "]", "[]"), + UserList: lambda _object: ("[", "]", "[]"), + set: lambda _object: ("{", "}", "set()"), + tuple: lambda _object: ("(", ")", "()"), + MappingProxyType: lambda _object: ("mappingproxy({", "})", "mappingproxy({})"), +} +_CONTAINERS = tuple(_BRACES.keys()) +_MAPPING_CONTAINERS = (dict, os._Environ, MappingProxyType, UserDict) + + +def is_expandable(obj: Any) -> bool: + """Check if an object may be expanded by pretty print.""" + return ( + _safe_isinstance(obj, _CONTAINERS) + or (is_dataclass(obj)) + or (hasattr(obj, "__rich_repr__")) + or _is_attr_object(obj) + ) and not isclass(obj) + + +@dataclass +class Node: + """A node in a repr tree. May be atomic or a container.""" + + key_repr: str = "" + value_repr: str = "" + open_brace: str = "" + close_brace: str = "" + empty: str = "" + last: bool = False + is_tuple: bool = False + is_namedtuple: bool = False + children: Optional[List["Node"]] = None + key_separator: str = ": " + separator: str = ", " + + def iter_tokens(self) -> Iterable[str]: + """Generate tokens for this node.""" + if self.key_repr: + yield self.key_repr + yield self.key_separator + if self.value_repr: + yield self.value_repr + elif self.children is not None: + if self.children: + yield self.open_brace + if self.is_tuple and not self.is_namedtuple and len(self.children) == 1: + yield from self.children[0].iter_tokens() + yield "," + else: + for child in self.children: + yield from child.iter_tokens() + if not child.last: + yield self.separator + yield self.close_brace + else: + yield self.empty + + def check_length(self, start_length: int, max_length: int) -> bool: + """Check the length fits within a limit. + + Args: + start_length (int): Starting length of the line (indent, prefix, suffix). + max_length (int): Maximum length. + + Returns: + bool: True if the node can be rendered within max length, otherwise False. + """ + total_length = start_length + for token in self.iter_tokens(): + total_length += cell_len(token) + if total_length > max_length: + return False + return True + + def __str__(self) -> str: + repr_text = "".join(self.iter_tokens()) + return repr_text + + def render( + self, max_width: int = 80, indent_size: int = 4, expand_all: bool = False + ) -> str: + """Render the node to a pretty repr. + + Args: + max_width (int, optional): Maximum width of the repr. Defaults to 80. + indent_size (int, optional): Size of indents. Defaults to 4. + expand_all (bool, optional): Expand all levels. Defaults to False. + + Returns: + str: A repr string of the original object. + """ + lines = [_Line(node=self, is_root=True)] + line_no = 0 + while line_no < len(lines): + line = lines[line_no] + if line.expandable and not line.expanded: + if expand_all or not line.check_length(max_width): + lines[line_no : line_no + 1] = line.expand(indent_size) + line_no += 1 + + repr_str = "\n".join(str(line) for line in lines) + return repr_str + + +@dataclass +class _Line: + """A line in repr output.""" + + parent: Optional["_Line"] = None + is_root: bool = False + node: Optional[Node] = None + text: str = "" + suffix: str = "" + whitespace: str = "" + expanded: bool = False + last: bool = False + + @property + def expandable(self) -> bool: + """Check if the line may be expanded.""" + return bool(self.node is not None and self.node.children) + + def check_length(self, max_length: int) -> bool: + """Check this line fits within a given number of cells.""" + start_length = ( + len(self.whitespace) + cell_len(self.text) + cell_len(self.suffix) + ) + assert self.node is not None + return self.node.check_length(start_length, max_length) + + def expand(self, indent_size: int) -> Iterable["_Line"]: + """Expand this line by adding children on their own line.""" + node = self.node + assert node is not None + whitespace = self.whitespace + assert node.children + if node.key_repr: + new_line = yield _Line( + text=f"{node.key_repr}{node.key_separator}{node.open_brace}", + whitespace=whitespace, + ) + else: + new_line = yield _Line(text=node.open_brace, whitespace=whitespace) + child_whitespace = self.whitespace + " " * indent_size + tuple_of_one = node.is_tuple and len(node.children) == 1 + for last, child in loop_last(node.children): + separator = "," if tuple_of_one else node.separator + line = _Line( + parent=new_line, + node=child, + whitespace=child_whitespace, + suffix=separator, + last=last and not tuple_of_one, + ) + yield line + + yield _Line( + text=node.close_brace, + whitespace=whitespace, + suffix=self.suffix, + last=self.last, + ) + + def __str__(self) -> str: + if self.last: + return f"{self.whitespace}{self.text}{self.node or ''}" + else: + return ( + f"{self.whitespace}{self.text}{self.node or ''}{self.suffix.rstrip()}" + ) + + +def _is_namedtuple(obj: Any) -> bool: + """Checks if an object is most likely a namedtuple. It is possible + to craft an object that passes this check and isn't a namedtuple, but + there is only a minuscule chance of this happening unintentionally. + + Args: + obj (Any): The object to test + + Returns: + bool: True if the object is a namedtuple. False otherwise. + """ + try: + fields = getattr(obj, "_fields", None) + except Exception: + # Being very defensive - if we cannot get the attr then its not a namedtuple + return False + return isinstance(obj, tuple) and isinstance(fields, tuple) + + +def traverse( + _object: Any, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, +) -> Node: + """Traverse object and generate a tree. + + Args: + _object (Any): Object to be traversed. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of string before truncating, or None to disable truncating. + Defaults to None. + max_depth (int, optional): Maximum depth of data structures, or None for no maximum. + Defaults to None. + + Returns: + Node: The root of a tree structure which can be used to render a pretty repr. + """ + + def to_repr(obj: Any) -> str: + """Get repr string for an object, but catch errors.""" + if ( + max_string is not None + and _safe_isinstance(obj, (bytes, str)) + and len(obj) > max_string + ): + truncated = len(obj) - max_string + obj_repr = f"{obj[:max_string]!r}+{truncated}" + else: + try: + obj_repr = repr(obj) + except Exception as error: + obj_repr = f"" + return obj_repr + + visited_ids: Set[int] = set() + push_visited = visited_ids.add + pop_visited = visited_ids.remove + + def _traverse(obj: Any, root: bool = False, depth: int = 0) -> Node: + """Walk the object depth first.""" + + obj_id = id(obj) + if obj_id in visited_ids: + # Recursion detected + return Node(value_repr="...") + + obj_type = type(obj) + children: List[Node] + reached_max_depth = max_depth is not None and depth >= max_depth + + def iter_rich_args(rich_args: Any) -> Iterable[Union[Any, Tuple[str, Any]]]: + for arg in rich_args: + if _safe_isinstance(arg, tuple): + if len(arg) == 3: + key, child, default = arg + if default == child: + continue + yield key, child + elif len(arg) == 2: + key, child = arg + yield key, child + elif len(arg) == 1: + yield arg[0] + else: + yield arg + + try: + fake_attributes = hasattr( + obj, "awehoi234_wdfjwljet234_234wdfoijsdfmmnxpi492" + ) + except Exception: + fake_attributes = False + + rich_repr_result: Optional[RichReprResult] = None + if not fake_attributes: + try: + if hasattr(obj, "__rich_repr__") and not isclass(obj): + rich_repr_result = obj.__rich_repr__() + except Exception: + pass + + if rich_repr_result is not None: + push_visited(obj_id) + angular = getattr(obj.__rich_repr__, "angular", False) + args = list(iter_rich_args(rich_repr_result)) + class_name = obj.__class__.__name__ + + if args: + children = [] + append = children.append + + if reached_max_depth: + if angular: + node = Node(value_repr=f"<{class_name}...>") + else: + node = Node(value_repr=f"{class_name}(...)") + else: + if angular: + node = Node( + open_brace=f"<{class_name} ", + close_brace=">", + children=children, + last=root, + separator=" ", + ) + else: + node = Node( + open_brace=f"{class_name}(", + close_brace=")", + children=children, + last=root, + ) + for last, arg in loop_last(args): + if _safe_isinstance(arg, tuple): + key, child = arg + child_node = _traverse(child, depth=depth + 1) + child_node.last = last + child_node.key_repr = key + child_node.key_separator = "=" + append(child_node) + else: + child_node = _traverse(arg, depth=depth + 1) + child_node.last = last + append(child_node) + else: + node = Node( + value_repr=f"<{class_name}>" if angular else f"{class_name}()", + children=[], + last=root, + ) + pop_visited(obj_id) + elif _is_attr_object(obj) and not fake_attributes: + push_visited(obj_id) + children = [] + append = children.append + + attr_fields = _get_attr_fields(obj) + if attr_fields: + if reached_max_depth: + node = Node(value_repr=f"{obj.__class__.__name__}(...)") + else: + node = Node( + open_brace=f"{obj.__class__.__name__}(", + close_brace=")", + children=children, + last=root, + ) + + def iter_attrs() -> ( + Iterable[Tuple[str, Any, Optional[Callable[[Any], str]]]] + ): + """Iterate over attr fields and values.""" + for attr in attr_fields: + if attr.repr: + try: + value = getattr(obj, attr.name) + except Exception as error: + # Can happen, albeit rarely + yield (attr.name, error, None) + else: + yield ( + attr.name, + value, + attr.repr if callable(attr.repr) else None, + ) + + for last, (name, value, repr_callable) in loop_last(iter_attrs()): + if repr_callable: + child_node = Node(value_repr=str(repr_callable(value))) + else: + child_node = _traverse(value, depth=depth + 1) + child_node.last = last + child_node.key_repr = name + child_node.key_separator = "=" + append(child_node) + else: + node = Node( + value_repr=f"{obj.__class__.__name__}()", children=[], last=root + ) + pop_visited(obj_id) + elif ( + is_dataclass(obj) + and not _safe_isinstance(obj, type) + and not fake_attributes + and _is_dataclass_repr(obj) + ): + push_visited(obj_id) + children = [] + append = children.append + if reached_max_depth: + node = Node(value_repr=f"{obj.__class__.__name__}(...)") + else: + node = Node( + open_brace=f"{obj.__class__.__name__}(", + close_brace=")", + children=children, + last=root, + empty=f"{obj.__class__.__name__}()", + ) + + for last, field in loop_last( + field + for field in fields(obj) + if field.repr and hasattr(obj, field.name) + ): + child_node = _traverse(getattr(obj, field.name), depth=depth + 1) + child_node.key_repr = field.name + child_node.last = last + child_node.key_separator = "=" + append(child_node) + + pop_visited(obj_id) + elif _is_namedtuple(obj) and _has_default_namedtuple_repr(obj): + push_visited(obj_id) + class_name = obj.__class__.__name__ + if reached_max_depth: + # If we've reached the max depth, we still show the class name, but not its contents + node = Node( + value_repr=f"{class_name}(...)", + ) + else: + children = [] + append = children.append + node = Node( + open_brace=f"{class_name}(", + close_brace=")", + children=children, + empty=f"{class_name}()", + ) + for last, (key, value) in loop_last(obj._asdict().items()): + child_node = _traverse(value, depth=depth + 1) + child_node.key_repr = key + child_node.last = last + child_node.key_separator = "=" + append(child_node) + pop_visited(obj_id) + elif _safe_isinstance(obj, _CONTAINERS): + for container_type in _CONTAINERS: + if _safe_isinstance(obj, container_type): + obj_type = container_type + break + + push_visited(obj_id) + + open_brace, close_brace, empty = _BRACES[obj_type](obj) + + if reached_max_depth: + node = Node(value_repr=f"{open_brace}...{close_brace}") + elif obj_type.__repr__ != type(obj).__repr__: + node = Node(value_repr=to_repr(obj), last=root) + elif obj: + children = [] + node = Node( + open_brace=open_brace, + close_brace=close_brace, + children=children, + last=root, + ) + append = children.append + num_items = len(obj) + last_item_index = num_items - 1 + + if _safe_isinstance(obj, _MAPPING_CONTAINERS): + iter_items = iter(obj.items()) + if max_length is not None: + iter_items = islice(iter_items, max_length) + for index, (key, child) in enumerate(iter_items): + child_node = _traverse(child, depth=depth + 1) + child_node.key_repr = to_repr(key) + child_node.last = index == last_item_index + append(child_node) + else: + iter_values = iter(obj) + if max_length is not None: + iter_values = islice(iter_values, max_length) + for index, child in enumerate(iter_values): + child_node = _traverse(child, depth=depth + 1) + child_node.last = index == last_item_index + append(child_node) + if max_length is not None and num_items > max_length: + append(Node(value_repr=f"... +{num_items - max_length}", last=True)) + else: + node = Node(empty=empty, children=[], last=root) + + pop_visited(obj_id) + else: + node = Node(value_repr=to_repr(obj), last=root) + node.is_tuple = type(obj) == tuple + node.is_namedtuple = _is_namedtuple(obj) + return node + + node = _traverse(_object, root=True) + return node + + +def pretty_repr( + _object: Any, + *, + max_width: int = 80, + indent_size: int = 4, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, + expand_all: bool = False, +) -> str: + """Prettify repr string by expanding on to new lines to fit within a given width. + + Args: + _object (Any): Object to repr. + max_width (int, optional): Desired maximum width of repr string. Defaults to 80. + indent_size (int, optional): Number of spaces to indent. Defaults to 4. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of string before truncating, or None to disable truncating. + Defaults to None. + max_depth (int, optional): Maximum depth of nested data structure, or None for no depth. + Defaults to None. + expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False. + + Returns: + str: A possibly multi-line representation of the object. + """ + + if _safe_isinstance(_object, Node): + node = _object + else: + node = traverse( + _object, max_length=max_length, max_string=max_string, max_depth=max_depth + ) + repr_str: str = node.render( + max_width=max_width, indent_size=indent_size, expand_all=expand_all + ) + return repr_str + + +def pprint( + _object: Any, + *, + console: Optional["Console"] = None, + indent_guides: bool = True, + max_length: Optional[int] = None, + max_string: Optional[int] = None, + max_depth: Optional[int] = None, + expand_all: bool = False, +) -> None: + """A convenience function for pretty printing. + + Args: + _object (Any): Object to pretty print. + console (Console, optional): Console instance, or None to use default. Defaults to None. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None. + max_depth (int, optional): Maximum depth for nested data structures, or None for unlimited depth. Defaults to None. + indent_guides (bool, optional): Enable indentation guides. Defaults to True. + expand_all (bool, optional): Expand all containers. Defaults to False. + """ + _console = get_console() if console is None else console + _console.print( + Pretty( + _object, + max_length=max_length, + max_string=max_string, + max_depth=max_depth, + indent_guides=indent_guides, + expand_all=expand_all, + overflow="ignore", + ), + soft_wrap=True, + ) + + +if __name__ == "__main__": # pragma: no cover + + class BrokenRepr: + def __repr__(self) -> str: + 1 / 0 + return "this will fail" + + from typing import NamedTuple + + class StockKeepingUnit(NamedTuple): + name: str + description: str + price: float + category: str + reviews: List[str] + + d = defaultdict(int) + d["foo"] = 5 + data = { + "foo": [ + 1, + "Hello World!", + 100.123, + 323.232, + 432324.0, + {5, 6, 7, (1, 2, 3, 4), 8}, + ], + "bar": frozenset({1, 2, 3}), + "defaultdict": defaultdict( + list, {"crumble": ["apple", "rhubarb", "butter", "sugar", "flour"]} + ), + "counter": Counter( + [ + "apple", + "orange", + "pear", + "kumquat", + "kumquat", + "durian" * 100, + ] + ), + "atomic": (False, True, None), + "namedtuple": StockKeepingUnit( + "Sparkling British Spring Water", + "Carbonated spring water", + 0.9, + "water", + ["its amazing!", "its terrible!"], + ), + "Broken": BrokenRepr(), + } + data["foo"].append(data) # type: ignore[attr-defined] + + from pip._vendor.rich import print + + print(Pretty(data, indent_guides=True, max_string=20)) + + class Thing: + def __repr__(self) -> str: + return "Hello\x1b[38;5;239m World!" + + print(Pretty(Thing())) diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/region.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/region.py new file mode 100644 index 0000000000000000000000000000000000000000..75b3631c3879294549f1f27418859aefb63925a7 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/region.py @@ -0,0 +1,10 @@ +from typing import NamedTuple + + +class Region(NamedTuple): + """Defines a rectangular region of the screen.""" + + x: int + y: int + width: int + height: int diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/scope.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/scope.py new file mode 100644 index 0000000000000000000000000000000000000000..c9d134cc3cedae929e5bef2b5547f7e33dc10a52 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/scope.py @@ -0,0 +1,86 @@ +from collections.abc import Mapping +from typing import TYPE_CHECKING, Any, Optional, Tuple + +from .highlighter import ReprHighlighter +from .panel import Panel +from .pretty import Pretty +from .table import Table +from .text import Text, TextType + +if TYPE_CHECKING: + from .console import ConsoleRenderable + + +def render_scope( + scope: "Mapping[str, Any]", + *, + title: Optional[TextType] = None, + sort_keys: bool = True, + indent_guides: bool = False, + max_length: Optional[int] = None, + max_string: Optional[int] = None, +) -> "ConsoleRenderable": + """Render python variables in a given scope. + + Args: + scope (Mapping): A mapping containing variable names and values. + title (str, optional): Optional title. Defaults to None. + sort_keys (bool, optional): Enable sorting of items. Defaults to True. + indent_guides (bool, optional): Enable indentation guides. Defaults to False. + max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation. + Defaults to None. + max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None. + + Returns: + ConsoleRenderable: A renderable object. + """ + highlighter = ReprHighlighter() + items_table = Table.grid(padding=(0, 1), expand=False) + items_table.add_column(justify="right") + + def sort_items(item: Tuple[str, Any]) -> Tuple[bool, str]: + """Sort special variables first, then alphabetically.""" + key, _ = item + return (not key.startswith("__"), key.lower()) + + items = sorted(scope.items(), key=sort_items) if sort_keys else scope.items() + for key, value in items: + key_text = Text.assemble( + (key, "scope.key.special" if key.startswith("__") else "scope.key"), + (" =", "scope.equals"), + ) + items_table.add_row( + key_text, + Pretty( + value, + highlighter=highlighter, + indent_guides=indent_guides, + max_length=max_length, + max_string=max_string, + ), + ) + return Panel.fit( + items_table, + title=title, + border_style="scope.border", + padding=(0, 1), + ) + + +if __name__ == "__main__": # pragma: no cover + from pip._vendor.rich import print + + print() + + def test(foo: float, bar: float) -> None: + list_of_things = [1, 2, 3, None, 4, True, False, "Hello World"] + dict_of_things = { + "version": "1.1", + "method": "confirmFruitPurchase", + "params": [["apple", "orange", "mangoes", "pomelo"], 1.123], + "id": "194521489", + } + print(render_scope(locals(), title="[i]locals", sort_keys=False)) + + test(20.3423, 3.1427) + print() diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/rich/styled.py b/llava/lib/python3.10/site-packages/pip/_vendor/rich/styled.py new file mode 100644 index 0000000000000000000000000000000000000000..91cd0db31c14e30d4c1e2e9f36382b7a5e022870 --- /dev/null +++ b/llava/lib/python3.10/site-packages/pip/_vendor/rich/styled.py @@ -0,0 +1,42 @@ +from typing import TYPE_CHECKING + +from .measure import Measurement +from .segment import Segment +from .style import StyleType + +if TYPE_CHECKING: + from .console import Console, ConsoleOptions, RenderResult, RenderableType + + +class Styled: + """Apply a style to a renderable. + + Args: + renderable (RenderableType): Any renderable. + style (StyleType): A style to apply across the entire renderable. + """ + + def __init__(self, renderable: "RenderableType", style: "StyleType") -> None: + self.renderable = renderable + self.style = style + + def __rich_console__( + self, console: "Console", options: "ConsoleOptions" + ) -> "RenderResult": + style = console.get_style(self.style) + rendered_segments = console.render(self.renderable, options) + segments = Segment.apply_style(rendered_segments, style) + return segments + + def __rich_measure__( + self, console: "Console", options: "ConsoleOptions" + ) -> Measurement: + return Measurement.get(console, options, self.renderable) + + +if __name__ == "__main__": # pragma: no cover + from pip._vendor.rich import print + from pip._vendor.rich.panel import Panel + + panel = Styled(Panel("hello"), "on blue") + print(panel) diff --git a/minigpt2/lib/python3.10/site-packages/cloudpickle/__pycache__/cloudpickle.cpython-310.pyc b/minigpt2/lib/python3.10/site-packages/cloudpickle/__pycache__/cloudpickle.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8b777be92e3486e3892b29757072e770b18a0eba Binary files /dev/null and b/minigpt2/lib/python3.10/site-packages/cloudpickle/__pycache__/cloudpickle.cpython-310.pyc differ diff --git a/minigpt2/lib/python3.10/site-packages/cloudpickle/cloudpickle_fast.py b/minigpt2/lib/python3.10/site-packages/cloudpickle/cloudpickle_fast.py new file mode 100644 index 0000000000000000000000000000000000000000..20280f0ca354a691861ab6f17821bbeb04632003 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/cloudpickle/cloudpickle_fast.py @@ -0,0 +1,14 @@ +"""Compatibility module. + +It can be necessary to load files generated by previous versions of cloudpickle +that rely on symbols being defined under the `cloudpickle.cloudpickle_fast` +namespace. + +See: tests/test_backward_compat.py +""" + +from . import cloudpickle + + +def __getattr__(name): + return getattr(cloudpickle, name) diff --git a/minigpt2/lib/python3.10/site-packages/imageio/__init__.py b/minigpt2/lib/python3.10/site-packages/imageio/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4fcf701f0a408906ba58d859414c6ecd9b4a429b --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/imageio/__init__.py @@ -0,0 +1,131 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2014-2020, imageio contributors +# imageio is distributed under the terms of the (new) BSD License. + +# This docstring is used at the index of the documentation pages, and +# gets inserted into a slightly larger description (in setup.py) for +# the page on Pypi: +""" +Imageio is a Python library that provides an easy interface to read and +write a wide range of image data, including animated images, volumetric +data, and scientific formats. It is cross-platform, runs on Python 3.9+, +and is easy to install. + +Main website: https://imageio.readthedocs.io/ +""" + +# flake8: noqa + +__version__ = "2.36.1" + +import warnings + +# Load some bits from core +from .core import FormatManager, RETURN_BYTES + +# Instantiate the old format manager +formats = FormatManager() +show_formats = formats.show + +from . import v2 +from . import v3 +from . import plugins + +# import config after core to avoid circular import +from . import config + +# import all APIs into the top level (meta API) +from .v2 import ( + imread as imread_v2, + mimread, + volread, + mvolread, + imwrite, + mimwrite, + volwrite, + mvolwrite, + # aliases + get_reader as read, + get_writer as save, + imwrite as imsave, + mimwrite as mimsave, + volwrite as volsave, + mvolwrite as mvolsave, + # misc + help, + get_reader, + get_writer, +) +from .v3 import ( + imopen, + # imread, # Will take over once v3 is released + # imwrite, # Will take over once v3 is released + imiter, +) + + +def imread(uri, format=None, **kwargs): + """imread(uri, format=None, **kwargs) + + Reads an image from the specified file. Returns a numpy array, which + comes with a dict of meta data at its 'meta' attribute. + + Note that the image data is returned as-is, and may not always have + a dtype of uint8 (and thus may differ from what e.g. PIL returns). + + Parameters + ---------- + uri : {str, pathlib.Path, bytes, file} + The resource to load the image from, e.g. a filename, pathlib.Path, + http address or file object, see the docs for more info. + format : str + The format to use to read the file. By default imageio selects + the appropriate for you based on the filename and its contents. + kwargs : ... + Further keyword arguments are passed to the reader. See :func:`.help` + to see what arguments are available for a particular format. + """ + + warnings.warn( + "Starting with ImageIO v3 the behavior of this function will switch to that of" + " iio.v3.imread. To keep the current behavior (and make this warning disappear)" + " use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.", + DeprecationWarning, + stacklevel=2, + ) + + return imread_v2(uri, format=format, **kwargs) + + +__all__ = [ + "v2", + "v3", + "config", + "plugins", + # v3 API + "imopen", + "imread", + "imwrite", + "imiter", + # v2 API + "mimread", + "volread", + "mvolread", + "imwrite", + "mimwrite", + "volwrite", + "mvolwrite", + # v2 aliases + "read", + "save", + "imsave", + "mimsave", + "volsave", + "mvolsave", + # functions to deprecate + "help", + "get_reader", + "get_writer", + "formats", + "show_formats", +] diff --git a/minigpt2/lib/python3.10/site-packages/imageio/__main__.py b/minigpt2/lib/python3.10/site-packages/imageio/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..ad0ea0b5dc9976351a59f34d4e720dfc5a7c5a53 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/imageio/__main__.py @@ -0,0 +1,169 @@ +""" +Console scripts and associated helper methods for imageio. +""" + +import argparse +import os +from os import path as op +import shutil +import sys + + +from . import plugins +from .core import util + +# A list of plugins that require binaries from the imageio-binaries +# repository. These plugins must implement the `download` method. +PLUGINS_WITH_BINARIES = ["freeimage"] + + +def download_bin(plugin_names=["all"], package_dir=False): + """Download binary dependencies of plugins + + This is a convenience method for downloading the binaries + (e.g. for freeimage) from the imageio-binaries + repository. + + Parameters + ---------- + plugin_names: list + A list of imageio plugin names. If it contains "all", all + binary dependencies are downloaded. + package_dir: bool + If set to `True`, the binaries will be downloaded to the + `resources` directory of the imageio package instead of + to the users application data directory. Note that this + might require administrative rights if imageio is installed + in a system directory. + """ + if plugin_names.count("all"): + # Use all plugins + plugin_names = PLUGINS_WITH_BINARIES + + plugin_names.sort() + print("Ascertaining binaries for: {}.".format(", ".join(plugin_names))) + + if package_dir: + # Download the binaries to the `resources` directory + # of imageio. If imageio comes as an .egg, then a cache + # directory will be created by pkg_resources (requires setuptools). + # see `imageio.core.util.resource_dirs` + # and `imageio.core.utilresource_package_dir` + directory = util.resource_package_dir() + else: + directory = None + + for plg in plugin_names: + if plg not in PLUGINS_WITH_BINARIES: + msg = "Plugin {} not registered for binary download!".format(plg) + raise Exception(msg) + mod = getattr(plugins, plg) + mod.download(directory=directory) + + +def download_bin_main(): + """Argument-parsing wrapper for `download_bin`""" + description = "Download plugin binary dependencies" + phelp = ( + "Plugin name for which to download the binary. " + + "If no argument is given, all binaries are downloaded." + ) + dhelp = ( + "Download the binaries to the package directory " + + "(default is the users application data directory). " + + "This might require administrative rights." + ) + example_text = ( + "examples:\n" + + " imageio_download_bin all\n" + + " imageio_download_bin freeimage\n" + ) + parser = argparse.ArgumentParser( + description=description, + epilog=example_text, + formatter_class=argparse.RawDescriptionHelpFormatter, + ) + parser.add_argument("plugin", type=str, nargs="*", default="all", help=phelp) + parser.add_argument( + "--package-dir", + dest="package_dir", + action="store_true", + default=False, + help=dhelp, + ) + args = parser.parse_args() + download_bin(plugin_names=args.plugin, package_dir=args.package_dir) + + +def remove_bin(plugin_names=["all"]): + """Remove binary dependencies of plugins + + This is a convenience method that removes all binaries + dependencies for plugins downloaded by imageio. + + Notes + ----- + It only makes sense to use this method if the binaries + are corrupt. + """ + if plugin_names.count("all"): + # Use all plugins + plugin_names = PLUGINS_WITH_BINARIES + + print("Removing binaries for: {}.".format(", ".join(plugin_names))) + + rdirs = util.resource_dirs() + + for plg in plugin_names: + if plg not in PLUGINS_WITH_BINARIES: + msg = "Plugin {} not registered for binary download!".format(plg) + raise Exception(msg) + + not_removed = [] + for rd in rdirs: + # plugin name is in subdirectories + for rsub in os.listdir(rd): + if rsub in plugin_names: + plgdir = op.join(rd, rsub) + try: + shutil.rmtree(plgdir) + except Exception: + not_removed.append(plgdir) + if not_removed: + nrs = ",".join(not_removed) + msg2 = ( + "These plugins files could not be removed: {}\n".format(nrs) + + "Make sure they are not used by any program and try again." + ) + raise Exception(msg2) + + +def remove_bin_main(): + """Argument-parsing wrapper for `remove_bin`""" + description = "Remove plugin binary dependencies" + phelp = ( + "Plugin name for which to remove the binary. " + + "If no argument is given, all binaries are removed." + ) + example_text = ( + "examples:\n" + + " imageio_remove_bin all\n" + + " imageio_remove_bin freeimage\n" + ) + parser = argparse.ArgumentParser( + description=description, + epilog=example_text, + formatter_class=argparse.RawDescriptionHelpFormatter, + ) + parser.add_argument("plugin", type=str, nargs="*", default="all", help=phelp) + args = parser.parse_args() + remove_bin(plugin_names=args.plugin) + + +if __name__ == "__main__": + if len(sys.argv) > 1 and sys.argv[1] == "download_bin": + download_bin_main() + elif len(sys.argv) > 1 and sys.argv[1] == "remove_bin": + remove_bin_main() + else: + raise RuntimeError("Invalid use of the imageio CLI") diff --git a/minigpt2/lib/python3.10/site-packages/imageio/testing.py b/minigpt2/lib/python3.10/site-packages/imageio/testing.py new file mode 100644 index 0000000000000000000000000000000000000000..535b1386d92d5f452826d3d05f7e93059607a759 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/imageio/testing.py @@ -0,0 +1,69 @@ +# -*- coding: utf-8 -*- +# Distributed under the (new) BSD License. See LICENSE.txt for more info. + +""" Functionality used for testing. This code itself is not covered in tests. +""" + +import os +import sys +import pytest + +# Get root dir +THIS_DIR = os.path.abspath(os.path.dirname(__file__)) +ROOT_DIR = THIS_DIR +for i in range(9): + ROOT_DIR = os.path.dirname(ROOT_DIR) + if os.path.isfile(os.path.join(ROOT_DIR, ".gitignore")): + break + + +# Functions to use from invoke tasks + + +def test_unit(cov_report="term"): + """Run all unit tests. Returns exit code.""" + orig_dir = os.getcwd() + os.chdir(ROOT_DIR) + try: + _clear_imageio() + _enable_faulthandler() + return pytest.main( + [ + "-v", + "--cov", + "imageio", + "--cov-config", + ".coveragerc", + "--cov-report", + cov_report, + "tests", + ] + ) + finally: + os.chdir(orig_dir) + import imageio + + print("Tests were performed on", str(imageio)) + + +# Requirements + + +def _enable_faulthandler(): + """Enable faulthandler (if we can), so that we get tracebacks + on segfaults. + """ + try: + import faulthandler + + faulthandler.enable() + print("Faulthandler enabled") + except Exception: + print("Could not enable faulthandler") + + +def _clear_imageio(): + # Remove ourselves from sys.modules to force an import + for key in list(sys.modules.keys()): + if key.startswith("imageio"): + del sys.modules[key] diff --git a/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/INSTALLER b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/INSTALLER new file mode 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b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/LICENSE.md new file mode 100644 index 0000000000000000000000000000000000000000..f7072d1c994fbb6eb8a48365be0d583cb02a03e9 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/LICENSE.md @@ -0,0 +1,30 @@ +BSD 3-Clause License + +Copyright (c) 2009-2012, Brian Granger, Min Ragan-Kelley + +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.libsodium.txt b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.libsodium.txt new file mode 100644 index 0000000000000000000000000000000000000000..17397208cdd694816caba93a7f587af9bfe135af --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.libsodium.txt @@ -0,0 +1,18 @@ +/* + * ISC License + * + * Copyright (c) 2013-2023 + * Frank Denis + * + * Permission to use, copy, modify, and/or distribute this software for any + * purpose with or without fee is hereby granted, provided that the above + * copyright notice and this permission notice appear in all copies. + * + * THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES + * WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF + * MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR + * ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES + * WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN + * ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF + * OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. + */ diff --git a/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.zeromq.txt b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.zeromq.txt new file mode 100644 index 0000000000000000000000000000000000000000..a612ad9813b006ce81d1ee438dd784da99a54007 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/pyzmq-26.2.0.dist-info/licenses/licenses/LICENSE.zeromq.txt @@ -0,0 +1,373 @@ +Mozilla Public License Version 2.0 +================================== + +1. Definitions +-------------- + +1.1. "Contributor" + means each individual or legal entity that creates, contributes to + the creation of, or owns Covered Software. + +1.2. "Contributor Version" + means the combination of the Contributions of others (if any) used + by a Contributor and that particular Contributor's Contribution. + +1.3. "Contribution" + means Covered Software of a particular Contributor. + +1.4. "Covered Software" + means Source Code Form to which the initial Contributor has attached + the notice in Exhibit A, the Executable Form of such Source Code + Form, and Modifications of such Source Code Form, in each case + including portions thereof. + +1.5. "Incompatible With Secondary Licenses" + means + + (a) that the initial Contributor has attached the notice described + in Exhibit B to the Covered Software; or + + (b) that the Covered Software was made available under the terms of + version 1.1 or earlier of the License, but not also under the + terms of a Secondary License. + +1.6. "Executable Form" + means any form of the work other than Source Code Form. + +1.7. "Larger Work" + means a work that combines Covered Software with other material, in + a separate file or files, that is not Covered Software. + +1.8. "License" + means this document. + +1.9. "Licensable" + means having the right to grant, to the maximum extent possible, + whether at the time of the initial grant or subsequently, any and + all of the rights conveyed by this License. + +1.10. "Modifications" + means any of the following: + + (a) any file in Source Code Form that results from an addition to, + deletion from, or modification of the contents of Covered + Software; or + + (b) any new file in Source Code Form that contains any Covered + Software. + +1.11. "Patent Claims" of a Contributor + means any patent claim(s), including without limitation, method, + process, and apparatus claims, in any patent Licensable by such + Contributor that would be infringed, but for the grant of the + License, by the making, using, selling, offering for sale, having + made, import, or transfer of either its Contributions or its + Contributor Version. + +1.12. "Secondary License" + means either the GNU General Public License, Version 2.0, the GNU + Lesser General Public License, Version 2.1, the GNU Affero General + Public License, Version 3.0, or any later versions of those + licenses. + +1.13. "Source Code Form" + means the form of the work preferred for making modifications. + +1.14. "You" (or "Your") + means an individual or a legal entity exercising rights under this + License. For legal entities, "You" includes any entity that + controls, is controlled by, or is under common control with You. For + purposes of this definition, "control" means (a) the power, direct + or indirect, to cause the direction or management of such entity, + whether by contract or otherwise, or (b) ownership of more than + fifty percent (50%) of the outstanding shares or beneficial + ownership of such entity. + +2. License Grants and Conditions +-------------------------------- + +2.1. Grants + +Each Contributor hereby grants You a world-wide, royalty-free, +non-exclusive license: + +(a) under intellectual property rights (other than patent or trademark) + Licensable by such Contributor to use, reproduce, make available, + modify, display, perform, distribute, and otherwise exploit its + Contributions, either on an unmodified basis, with Modifications, or + as part of a Larger Work; and + +(b) under Patent Claims of such Contributor to make, use, sell, offer + for sale, have made, import, and otherwise transfer either its + Contributions or its Contributor Version. + +2.2. Effective Date + +The licenses granted in Section 2.1 with respect to any Contribution +become effective for each Contribution on the date the Contributor first +distributes such Contribution. + +2.3. Limitations on Grant Scope + +The licenses granted in this Section 2 are the only rights granted under +this License. No additional rights or licenses will be implied from the +distribution or licensing of Covered Software under this License. +Notwithstanding Section 2.1(b) above, no patent license is granted by a +Contributor: + +(a) for any code that a Contributor has removed from Covered Software; + or + +(b) for infringements caused by: (i) Your and any other third party's + modifications of Covered Software, or (ii) the combination of its + Contributions with other software (except as part of its Contributor + Version); or + +(c) under Patent Claims infringed by Covered Software in the absence of + its Contributions. + +This License does not grant any rights in the trademarks, service marks, +or logos of any Contributor (except as may be necessary to comply with +the notice requirements in Section 3.4). + +2.4. Subsequent Licenses + +No Contributor makes additional grants as a result of Your choice to +distribute the Covered Software under a subsequent version of this +License (see Section 10.2) or under the terms of a Secondary License (if +permitted under the terms of Section 3.3). + +2.5. Representation + +Each Contributor represents that the Contributor believes its +Contributions are its original creation(s) or it has sufficient rights +to grant the rights to its Contributions conveyed by this License. + +2.6. Fair Use + +This License is not intended to limit any rights You have under +applicable copyright doctrines of fair use, fair dealing, or other +equivalents. + +2.7. Conditions + +Sections 3.1, 3.2, 3.3, and 3.4 are conditions of the licenses granted +in Section 2.1. + +3. Responsibilities +------------------- + +3.1. Distribution of Source Form + +All distribution of Covered Software in Source Code Form, including any +Modifications that You create or to which You contribute, must be under +the terms of this License. You must inform recipients that the Source +Code Form of the Covered Software is governed by the terms of this +License, and how they can obtain a copy of this License. You may not +attempt to alter or restrict the recipients' rights in the Source Code +Form. + +3.2. Distribution of Executable Form + +If You distribute Covered Software in Executable Form then: + +(a) such Covered Software must also be made available in Source Code + Form, as described in Section 3.1, and You must inform recipients of + the Executable Form how they can obtain a copy of such Source Code + Form by reasonable means in a timely manner, at a charge no more + than the cost of distribution to the recipient; and + +(b) You may distribute such Executable Form under the terms of this + License, or sublicense it under different terms, provided that the + license for the Executable Form does not attempt to limit or alter + the recipients' rights in the Source Code Form under this License. + +3.3. Distribution of a Larger Work + +You may create and distribute a Larger Work under terms of Your choice, +provided that You also comply with the requirements of this License for +the Covered Software. If the Larger Work is a combination of Covered +Software with a work governed by one or more Secondary Licenses, and the +Covered Software is not Incompatible With Secondary Licenses, this +License permits You to additionally distribute such Covered Software +under the terms of such Secondary License(s), so that the recipient of +the Larger Work may, at their option, further distribute the Covered +Software under the terms of either this License or such Secondary +License(s). + +3.4. Notices + +You may not remove or alter the substance of any license notices +(including copyright notices, patent notices, disclaimers of warranty, +or limitations of liability) contained within the Source Code Form of +the Covered Software, except that You may alter any license notices to +the extent required to remedy known factual inaccuracies. + +3.5. Application of Additional Terms + +You may choose to offer, and to charge a fee for, warranty, support, +indemnity or liability obligations to one or more recipients of Covered +Software. However, You may do so only on Your own behalf, and not on +behalf of any Contributor. You must make it absolutely clear that any +such warranty, support, indemnity, or liability obligation is offered by +You alone, and You hereby agree to indemnify every Contributor for any +liability incurred by such Contributor as a result of warranty, support, +indemnity or liability terms You offer. You may include additional +disclaimers of warranty and limitations of liability specific to any +jurisdiction. + +4. Inability to Comply Due to Statute or Regulation +--------------------------------------------------- + +If it is impossible for You to comply with any of the terms of this +License with respect to some or all of the Covered Software due to +statute, judicial order, or regulation then You must: (a) comply with +the terms of this License to the maximum extent possible; and (b) +describe the limitations and the code they affect. Such description must +be placed in a text file included with all distributions of the Covered +Software under this License. Except to the extent prohibited by statute +or regulation, such description must be sufficiently detailed for a +recipient of ordinary skill to be able to understand it. + +5. Termination +-------------- + +5.1. The rights granted under this License will terminate automatically +if You fail to comply with any of its terms. However, if You become +compliant, then the rights granted under this License from a particular +Contributor are reinstated (a) provisionally, unless and until such +Contributor explicitly and finally terminates Your grants, and (b) on an +ongoing basis, if such Contributor fails to notify You of the +non-compliance by some reasonable means prior to 60 days after You have +come back into compliance. Moreover, Your grants from a particular +Contributor are reinstated on an ongoing basis if such Contributor +notifies You of the non-compliance by some reasonable means, this is the +first time You have received notice of non-compliance with this License +from such Contributor, and You become compliant prior to 30 days after +Your receipt of the notice. + +5.2. If You initiate litigation against any entity by asserting a patent +infringement claim (excluding declaratory judgment actions, +counter-claims, and cross-claims) alleging that a Contributor Version +directly or indirectly infringes any patent, then the rights granted to +You by any and all Contributors for the Covered Software under Section +2.1 of this License shall terminate. + +5.3. In the event of termination under Sections 5.1 or 5.2 above, all +end user license agreements (excluding distributors and resellers) which +have been validly granted by You or Your distributors under this License +prior to termination shall survive termination. + +************************************************************************ +* * +* 6. Disclaimer of Warranty * +* ------------------------- * +* * +* Covered Software is provided under this License on an "as is" * +* basis, without warranty of any kind, either expressed, implied, or * +* statutory, including, without limitation, warranties that the * +* Covered Software is free of defects, merchantable, fit for a * +* particular purpose or non-infringing. The entire risk as to the * +* quality and performance of the Covered Software is with You. * +* Should any Covered Software prove defective in any respect, You * +* (not any Contributor) assume the cost of any necessary servicing, * +* repair, or correction. This disclaimer of warranty constitutes an * +* essential part of this License. No use of any Covered Software is * +* authorized under this License except under this disclaimer. * +* * +************************************************************************ + +************************************************************************ +* * +* 7. Limitation of Liability * +* -------------------------- * +* * +* Under no circumstances and under no legal theory, whether tort * +* (including negligence), contract, or otherwise, shall any * +* Contributor, or anyone who distributes Covered Software as * +* permitted above, be liable to You for any direct, indirect, * +* special, incidental, or consequential damages of any character * +* including, without limitation, damages for lost profits, loss of * +* goodwill, work stoppage, computer failure or malfunction, or any * +* and all other commercial damages or losses, even if such party * +* shall have been informed of the possibility of such damages. This * +* limitation of liability shall not apply to liability for death or * +* personal injury resulting from such party's negligence to the * +* extent applicable law prohibits such limitation. Some * +* jurisdictions do not allow the exclusion or limitation of * +* incidental or consequential damages, so this exclusion and * +* limitation may not apply to You. * +* * +************************************************************************ + +8. Litigation +------------- + +Any litigation relating to this License may be brought only in the +courts of a jurisdiction where the defendant maintains its principal +place of business and such litigation shall be governed by laws of that +jurisdiction, without reference to its conflict-of-law provisions. +Nothing in this Section shall prevent a party's ability to bring +cross-claims or counter-claims. + +9. Miscellaneous +---------------- + +This License represents the complete agreement concerning the subject +matter hereof. If any provision of this License is held to be +unenforceable, such provision shall be reformed only to the extent +necessary to make it enforceable. Any law or regulation which provides +that the language of a contract shall be construed against the drafter +shall not be used to construe this License against a Contributor. + +10. Versions of the License +--------------------------- + +10.1. New Versions + +Mozilla Foundation is the license steward. Except as provided in Section +10.3, no one other than the license steward has the right to modify or +publish new versions of this License. Each version will be given a +distinguishing version number. + +10.2. Effect of New Versions + +You may distribute the Covered Software under the terms of the version +of the License under which You originally received the Covered Software, +or under the terms of any subsequent version published by the license +steward. + +10.3. Modified Versions + +If you create software not governed by this License, and you want to +create a new license for such software, you may create and use a +modified version of this License if you rename the license and remove +any references to the name of the license steward (except to note that +such modified license differs from this License). + +10.4. Distributing Source Code Form that is Incompatible With Secondary +Licenses + +If You choose to distribute Source Code Form that is Incompatible With +Secondary Licenses under the terms of this version of the License, the +notice described in Exhibit B of this License must be attached. + +Exhibit A - Source Code Form License Notice +------------------------------------------- + + This Source Code Form is subject to the terms of the Mozilla Public + License, v. 2.0. If a copy of the MPL was not distributed with this + file, You can obtain one at http://mozilla.org/MPL/2.0/. + +If it is not possible or desirable to put the notice in a particular +file, then You may include the notice in a location (such as a LICENSE +file in a relevant directory) where a recipient would be likely to look +for such a notice. + +You may add additional accurate notices of copyright ownership. + +Exhibit B - "Incompatible With Secondary Licenses" Notice +--------------------------------------------------------- + + This Source Code Form is "Incompatible With Secondary Licenses", as + defined by the Mozilla Public License, v. 2.0. diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/INSTALLER b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/LICENSE b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..83ed1036f70d4f419307e8a044a35e163cc35201 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2022 OpenAI, Shantanu Jain + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/METADATA b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..2ce2821db9cf48809352a36d15aa6c4fdac490ca --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/METADATA @@ -0,0 +1,169 @@ +Metadata-Version: 2.1 +Name: tiktoken +Version: 0.7.0 +Summary: tiktoken is a fast BPE tokeniser for use with OpenAI's models +Author: Shantanu Jain +Author-email: shantanu@openai.com +License: MIT License + + Copyright (c) 2022 OpenAI, Shantanu Jain + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE. + +Project-URL: homepage, https://github.com/openai/tiktoken +Project-URL: repository, https://github.com/openai/tiktoken +Project-URL: changelog, https://github.com/openai/tiktoken/blob/main/CHANGELOG.md +Requires-Python: >=3.8 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: regex >=2022.1.18 +Requires-Dist: requests >=2.26.0 +Provides-Extra: blobfile +Requires-Dist: blobfile >=2 ; extra == 'blobfile' + +# ⏳ tiktoken + +tiktoken is a fast [BPE](https://en.wikipedia.org/wiki/Byte_pair_encoding) tokeniser for use with +OpenAI's models. + +```python +import tiktoken +enc = tiktoken.get_encoding("cl100k_base") +assert enc.decode(enc.encode("hello world")) == "hello world" + +# To get the tokeniser corresponding to a specific model in the OpenAI API: +enc = tiktoken.encoding_for_model("gpt-4") +``` + +The open source version of `tiktoken` can be installed from PyPI: +``` +pip install tiktoken +``` + +The tokeniser API is documented in `tiktoken/core.py`. + +Example code using `tiktoken` can be found in the +[OpenAI Cookbook](https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb). + + +## Performance + +`tiktoken` is between 3-6x faster than a comparable open source tokeniser: + +![image](https://raw.githubusercontent.com/openai/tiktoken/main/perf.svg) + +Performance measured on 1GB of text using the GPT-2 tokeniser, using `GPT2TokenizerFast` from +`tokenizers==0.13.2`, `transformers==4.24.0` and `tiktoken==0.2.0`. + + +## Getting help + +Please post questions in the [issue tracker](https://github.com/openai/tiktoken/issues). + +If you work at OpenAI, make sure to check the internal documentation or feel free to contact +@shantanu. + +## What is BPE anyway? + +Language models don't see text like you and I, instead they see a sequence of numbers (known as tokens). +Byte pair encoding (BPE) is a way of converting text into tokens. It has a couple desirable +properties: +1) It's reversible and lossless, so you can convert tokens back into the original text +2) It works on arbitrary text, even text that is not in the tokeniser's training data +3) It compresses the text: the token sequence is shorter than the bytes corresponding to the + original text. On average, in practice, each token corresponds to about 4 bytes. +4) It attempts to let the model see common subwords. For instance, "ing" is a common subword in + English, so BPE encodings will often split "encoding" into tokens like "encod" and "ing" + (instead of e.g. "enc" and "oding"). Because the model will then see the "ing" token again and + again in different contexts, it helps models generalise and better understand grammar. + +`tiktoken` contains an educational submodule that is friendlier if you want to learn more about +the details of BPE, including code that helps visualise the BPE procedure: +```python +from tiktoken._educational import * + +# Train a BPE tokeniser on a small amount of text +enc = train_simple_encoding() + +# Visualise how the GPT-4 encoder encodes text +enc = SimpleBytePairEncoding.from_tiktoken("cl100k_base") +enc.encode("hello world aaaaaaaaaaaa") +``` + + +## Extending tiktoken + +You may wish to extend `tiktoken` to support new encodings. There are two ways to do this. + + +**Create your `Encoding` object exactly the way you want and simply pass it around.** + +```python +cl100k_base = tiktoken.get_encoding("cl100k_base") + +# In production, load the arguments directly instead of accessing private attributes +# See openai_public.py for examples of arguments for specific encodings +enc = tiktoken.Encoding( + # If you're changing the set of special tokens, make sure to use a different name + # It should be clear from the name what behaviour to expect. + name="cl100k_im", + pat_str=cl100k_base._pat_str, + mergeable_ranks=cl100k_base._mergeable_ranks, + special_tokens={ + **cl100k_base._special_tokens, + "<|im_start|>": 100264, + "<|im_end|>": 100265, + } +) +``` + +**Use the `tiktoken_ext` plugin mechanism to register your `Encoding` objects with `tiktoken`.** + +This is only useful if you need `tiktoken.get_encoding` to find your encoding, otherwise prefer +option 1. + +To do this, you'll need to create a namespace package under `tiktoken_ext`. + +Layout your project like this, making sure to omit the `tiktoken_ext/__init__.py` file: +``` +my_tiktoken_extension +├── tiktoken_ext +│   └── my_encodings.py +└── setup.py +``` + +`my_encodings.py` should be a module that contains a variable named `ENCODING_CONSTRUCTORS`. +This is a dictionary from an encoding name to a function that takes no arguments and returns +arguments that can be passed to `tiktoken.Encoding` to construct that encoding. For an example, see +`tiktoken_ext/openai_public.py`. For precise details, see `tiktoken/registry.py`. + +Your `setup.py` should look something like this: +```python +from setuptools import setup, find_namespace_packages + +setup( + name="my_tiktoken_extension", + packages=find_namespace_packages(include=['tiktoken_ext*']), + install_requires=["tiktoken"], + ... +) +``` + +Then simply `pip install ./my_tiktoken_extension` and you should be able to use your +custom encodings! Make sure **not** to use an editable install. diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/RECORD b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..588d319b6746c33b3fc76f9bb6fec2f9effd784b --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/RECORD @@ -0,0 +1,23 @@ +tiktoken-0.7.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +tiktoken-0.7.0.dist-info/LICENSE,sha256=QYy0mbQ2Eo1lPXmUEzOlQ3t74uqSE9zC8E0V1dLFHYY,1078 +tiktoken-0.7.0.dist-info/METADATA,sha256=06FiLYxR04FjaYa53wsIdDvuJtP_FBaU0d4DnUcRpYg,6631 +tiktoken-0.7.0.dist-info/RECORD,, +tiktoken-0.7.0.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +tiktoken-0.7.0.dist-info/WHEEL,sha256=CzQQWV-lNyM92gr3iaBk8dvO35YDHRxgzkZ-dxumUIM,152 +tiktoken-0.7.0.dist-info/top_level.txt,sha256=54G5MceQnuD7EXvp7jzGxDDapA1iOwsh77jhCN9WKkc,22 +tiktoken/__init__.py,sha256=FNmz8KgZfaG62vRgMMkTL9jj0a2AI7JGV1b-RZ29_tY,322 +tiktoken/__pycache__/__init__.cpython-310.pyc,, +tiktoken/__pycache__/_educational.cpython-310.pyc,, +tiktoken/__pycache__/core.cpython-310.pyc,, +tiktoken/__pycache__/load.cpython-310.pyc,, +tiktoken/__pycache__/model.cpython-310.pyc,, +tiktoken/__pycache__/registry.cpython-310.pyc,, +tiktoken/_educational.py,sha256=l_bTeohxYJ2RHrXDFT2QfRF7aD89S38VFZndzZTI_cM,8234 +tiktoken/_tiktoken.cpython-310-x86_64-linux-gnu.so,sha256=M4aPWFqCCHSS2T98pmHsQM_5DFEU5ePuFAl9GMHobpo,3202496 +tiktoken/core.py,sha256=MlhBCfE5WLR1i8rokHqYz7u4GdTF_dfpnSuOwmtHj2A,16123 +tiktoken/load.py,sha256=YDbOfHhKn1MEWn9cWc1cVqDxZNwpGifWnuvfEcKeJ4w,5351 +tiktoken/model.py,sha256=fCcuegWlKwFFmD1crVXHxFQBlBV6BGWCfwYTIhUcADs,3647 +tiktoken/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +tiktoken/registry.py,sha256=ksP_k8jlqLyefL1sr5OAc-yOK0McOFaHZM4oF8KQdYg,2811 +tiktoken_ext/__pycache__/openai_public.cpython-310.pyc,, +tiktoken_ext/openai_public.py,sha256=3gckU-7LqtjkwKbVp5M6ZktECFdr7Tw5Ii8aDiFQKto,4634 diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/REQUESTED b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/WHEEL b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..9bb86cf30c63df9170e9af3dd246ce6f41270402 --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/WHEEL @@ -0,0 +1,6 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.43.0) +Root-Is-Purelib: false +Tag: cp310-cp310-manylinux_2_17_x86_64 +Tag: cp310-cp310-manylinux2014_x86_64 + diff --git a/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/top_level.txt b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..859880ea40d957171e49537207249fdca13946cb --- /dev/null +++ b/minigpt2/lib/python3.10/site-packages/tiktoken-0.7.0.dist-info/top_level.txt @@ -0,0 +1,2 @@ +tiktoken +tiktoken_ext diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_weight_to_int4pack_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_weight_to_int4pack_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..d7919cbfb5047e478ed1b13e9b53e98ba2f09e98 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_weight_to_int4pack_cpu_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor _convert_weight_to_int4pack(const at::Tensor & self, int64_t innerKTiles); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_efficient_attention_backward_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_efficient_attention_backward_native.h new file mode 100644 index 0000000000000000000000000000000000000000..6dfc5b83969c9a655aba7955c871b531892ed96a --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_efficient_attention_backward_native.h @@ -0,0 +1,21 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API ::std::tuple _efficient_attention_backward(const at::Tensor & grad_out_, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const ::std::optional & bias, const at::Tensor & out, const ::std::optional & cu_seqlens_q, const ::std::optional & cu_seqlens_k, int64_t max_seqlen_q, int64_t max_seqlen_k, const at::Tensor & logsumexp, double dropout_p, const at::Tensor & philox_seed, const at::Tensor & philox_offset, int64_t custom_mask_type, bool bias_requires_grad, ::std::optional scale=::std::nullopt, ::std::optional num_splits_key=::std::nullopt, ::std::optional window_size=::std::nullopt, bool shared_storage_dqdkdv=false); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2c_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2c_native.h new file mode 100644 index 0000000000000000000000000000000000000000..38d293f0eb45c27f232262ab64187b74003ed226 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2c_native.h @@ -0,0 +1,24 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor _fft_c2c_mkl(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward); +TORCH_API at::Tensor & _fft_c2c_mkl_out(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out); +TORCH_API at::Tensor _fft_c2c_cufft(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward); +TORCH_API at::Tensor & _fft_c2c_cufft_out(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..f71997c9aef457fa9e10092503bef07a71794f6b --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fill_mem_eff_dropout_mask_meta_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace meta { + +TORCH_API at::Tensor & _fill_mem_eff_dropout_mask_(at::Tensor & self, double dropout_p, int64_t seed, int64_t offset); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..008524eef77677f0718dcdad9bcbbfa55562ba28 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h @@ -0,0 +1,24 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor & _pin_memory_out(at::Tensor & out, const at::Tensor & self, ::std::optional device=::std::nullopt); +TORCH_API at::Tensor & _pin_memory_outf(const at::Tensor & self, ::std::optional device, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sobol_engine_scramble_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sobol_engine_scramble_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..41dd474ad41359d693b3337c24222998c57f91f2 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sobol_engine_scramble_ops.h @@ -0,0 +1,28 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { +namespace _ops { + + +struct TORCH_API _sobol_engine_scramble_ { + using schema = at::Tensor & (at::Tensor &, const at::Tensor &, int64_t); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_sobol_engine_scramble_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_sobol_engine_scramble_(Tensor(a!) self, Tensor ltm, int dimension) -> Tensor(a!)") + static at::Tensor & call(at::Tensor & self, const at::Tensor & ltm, int64_t dimension); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & ltm, int64_t dimension); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..47e97625d5bdc0c18a25a7721e517f2839f5aca5 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h @@ -0,0 +1,25 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace meta { + +TORCH_API at::Tensor _softmax_backward_data(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype); +TORCH_API at::Tensor & _softmax_backward_data_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype); +TORCH_API at::Tensor & _softmax_backward_data_outf(const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype, at::Tensor & grad_input); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_native.h new file mode 100644 index 0000000000000000000000000000000000000000..cf58ded5d89e5c917a81efd287fdb1c44cf75b64 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_semi_structured_apply_dense_native.h @@ -0,0 +1,21 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor _sparse_semi_structured_apply_dense(const at::Tensor & input, const at::Tensor & thread_masks); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..29d0d6b9992025c859592f98ad7a09a9e983c913 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h @@ -0,0 +1,24 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API ::std::tuple _transform_bias_rescale_qkv_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & qkv, const at::Tensor & qkv_bias, int64_t num_heads); +TORCH_API ::std::tuple _transform_bias_rescale_qkv_outf(const at::Tensor & qkv, const at::Tensor & qkv_bias, int64_t num_heads, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..6ad31a436adc47ee02a17fe7979e23bfde0713fa --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h @@ -0,0 +1,28 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor _upsample_bicubic2d_aa_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); +TORCH_API at::Tensor _upsample_bicubic2d_aa_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); +TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); +TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional scales_h, ::std::optional scales_w, at::Tensor & grad_input); +TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_symint_out(at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); +TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_symint_outf(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional scales_h, ::std::optional scales_w, at::Tensor & grad_input); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addcdiv_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addcdiv_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..3ad933aa205ae5be495d8df2166ec176fcf56880 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addcdiv_cpu_dispatch.h @@ -0,0 +1,26 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor addcdiv(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); +TORCH_API at::Tensor & addcdiv_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); +TORCH_API at::Tensor & addcdiv_outf(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out); +TORCH_API at::Tensor & addcdiv_(at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/arctan.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/arctan.h new file mode 100644 index 0000000000000000000000000000000000000000..06f6e605731129341c140f1c8fec0b440967ed4f --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/arctan.h @@ -0,0 +1,44 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::arctan(Tensor self) -> Tensor +inline at::Tensor arctan(const at::Tensor & self) { + return at::_ops::arctan::call(self); +} + +// aten::arctan_(Tensor(a!) self) -> Tensor(a!) +inline at::Tensor & arctan_(at::Tensor & self) { + return at::_ops::arctan_::call(self); +} + +// aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & arctan_out(at::Tensor & out, const at::Tensor & self) { + return at::_ops::arctan_out::call(self, out); +} +// aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & arctan_outf(const at::Tensor & self, at::Tensor & out) { + return at::_ops::arctan_out::call(self, out); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/asinh_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/asinh_native.h new file mode 100644 index 0000000000000000000000000000000000000000..9b1e688ad5b36d532f222c77596cfc17825e54fb --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/asinh_native.h @@ -0,0 +1,29 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace at { +namespace native { +struct TORCH_API structured_asinh_out : public at::meta::structured_asinh { +void impl(const at::Tensor & self, const at::Tensor & out); +}; +TORCH_API at::Tensor asinh_sparse(const at::Tensor & self); +TORCH_API at::Tensor & asinh_sparse_out(const at::Tensor & self, at::Tensor & out); +TORCH_API at::Tensor & asinh_sparse_(at::Tensor & self); +TORCH_API at::Tensor asinh_sparse_csr(const at::Tensor & self); +TORCH_API at::Tensor & asinh_sparse_csr_out(const at::Tensor & self, at::Tensor & out); +TORCH_API at::Tensor & asinh_sparse_csr_(at::Tensor & self); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/dequantize_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/dequantize_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..91d8e559c9d85862d9bb3343cebf53998ef619df --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/dequantize_cpu_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor dequantize(const at::Tensor & self); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kthvalue.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kthvalue.h new file mode 100644 index 0000000000000000000000000000000000000000..e2bab6e9e50ee77ca75a5ae1ba6bdac65a02d517 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kthvalue.h @@ -0,0 +1,53 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices) +inline ::std::tuple kthvalue(const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) { + return at::_ops::kthvalue::call(self, k, dim, keepdim); +} + +// aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) +inline ::std::tuple kthvalue_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) { + return at::_ops::kthvalue_values::call(self, k, dim, keepdim, values, indices); +} +// aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) +inline ::std::tuple kthvalue_outf(const at::Tensor & self, int64_t k, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { + return at::_ops::kthvalue_values::call(self, k, dim, keepdim, values, indices); +} + +// aten::kthvalue.dimname(Tensor self, int k, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) +inline ::std::tuple kthvalue(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) { + return at::_ops::kthvalue_dimname::call(self, k, dim, keepdim); +} + +// aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) +inline ::std::tuple kthvalue_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) { + return at::_ops::kthvalue_dimname_out::call(self, k, dim, keepdim, values, indices); +} +// aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) +inline ::std::tuple kthvalue_outf(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { + return at::_ops::kthvalue_dimname_out::call(self, k, dim, keepdim, values, indices); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ldexp.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ldexp.h new file mode 100644 index 0000000000000000000000000000000000000000..00055dded52d708efd7a0a979e76cb81529b8ca5 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ldexp.h @@ -0,0 +1,44 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::ldexp.Tensor(Tensor self, Tensor other) -> Tensor +inline at::Tensor ldexp(const at::Tensor & self, const at::Tensor & other) { + return at::_ops::ldexp_Tensor::call(self, other); +} + +// aten::ldexp_(Tensor(a!) self, Tensor other) -> Tensor(a!) +inline at::Tensor & ldexp_(at::Tensor & self, const at::Tensor & other) { + return at::_ops::ldexp_::call(self, other); +} + +// aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & ldexp_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { + return at::_ops::ldexp_out::call(self, other, out); +} +// aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & ldexp_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { + return at::_ops::ldexp_out::call(self, other, out); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nan_to_num_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nan_to_num_native.h new file mode 100644 index 0000000000000000000000000000000000000000..1d00ae37e6c6308c7d8c11b14c38b3895f6b5ea8 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nan_to_num_native.h @@ -0,0 +1,26 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor nan_to_num(const at::Tensor & self, ::std::optional nan=::std::nullopt, ::std::optional posinf=::std::nullopt, ::std::optional neginf=::std::nullopt); +TORCH_API at::Tensor & nan_to_num_(at::Tensor & self, ::std::optional nan=::std::nullopt, ::std::optional posinf=::std::nullopt, ::std::optional neginf=::std::nullopt); +TORCH_API at::Tensor & nan_to_num_out(const at::Tensor & self, ::std::optional nan, ::std::optional posinf, ::std::optional neginf, at::Tensor & out); +TORCH_API at::Tensor nan_to_num_sparse(const at::Tensor & self, ::std::optional nan=::std::nullopt, ::std::optional posinf=::std::nullopt, ::std::optional neginf=::std::nullopt); +TORCH_API at::Tensor & nan_to_num_sparse_out(const at::Tensor & self, ::std::optional nan, ::std::optional posinf, ::std::optional neginf, at::Tensor & out); +TORCH_API at::Tensor & nan_to_num_sparse_(at::Tensor & self, ::std::optional nan=::std::nullopt, ::std::optional posinf=::std::nullopt, ::std::optional neginf=::std::nullopt); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..7d83a3147201af3e69b736a4227ac0be2d2870ae --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h @@ -0,0 +1,34 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor ones(at::IntArrayRef size, ::std::optional names, at::TensorOptions options={}); +TORCH_API at::Tensor ones(at::IntArrayRef size, ::std::optional names, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory); +TORCH_API at::Tensor & ones_out(at::Tensor & out, at::IntArrayRef size, ::std::optional names); +TORCH_API at::Tensor & ones_outf(at::IntArrayRef size, ::std::optional names, at::Tensor & out); +TORCH_API at::Tensor ones(at::IntArrayRef size, at::TensorOptions options={}); +TORCH_API at::Tensor ones(at::IntArrayRef size, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory); +TORCH_API at::Tensor ones_symint(c10::SymIntArrayRef size, at::TensorOptions options={}); +TORCH_API at::Tensor ones_symint(c10::SymIntArrayRef size, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory); +TORCH_API at::Tensor & ones_out(at::Tensor & out, at::IntArrayRef size); +TORCH_API at::Tensor & ones_outf(at::IntArrayRef size, at::Tensor & out); +TORCH_API at::Tensor & ones_symint_out(at::Tensor & out, c10::SymIntArrayRef size); +TORCH_API at::Tensor & ones_symint_outf(c10::SymIntArrayRef size, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..bb27527d7cbe742badf62d884dc10a5842dfac88 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h @@ -0,0 +1,25 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor put(const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false); +TORCH_API at::Tensor & put_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false); +TORCH_API at::Tensor & put_outf(const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..a5a19847172132c99550e23312bdfa55f6aac2b9 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeimplicitautograd { + +TORCH_API at::Tensor ravel(const at::Tensor & self); + +} // namespace compositeimplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..6164659f754b3278bbf2ea1aa70e019fc8a9ef96 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_cpu_dispatch.h @@ -0,0 +1,24 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API const at::Tensor & resize_(const at::Tensor & self, at::IntArrayRef size, ::std::optional memory_format=::std::nullopt); +TORCH_API const at::Tensor & resize__symint(const at::Tensor & self, c10::SymIntArrayRef size, ::std::optional memory_format=::std::nullopt); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/row_indices_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/row_indices_native.h new file mode 100644 index 0000000000000000000000000000000000000000..7a73c91f8aeb33d3f59ba055786f0c2452a66e08 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/row_indices_native.h @@ -0,0 +1,22 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor row_indices_default(const at::Tensor & self); +TORCH_API at::Tensor row_indices_sparse_csr(const at::Tensor & self); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..ba92dc0c314e812358d21ef4b3feec5b9774f356 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h @@ -0,0 +1,25 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace meta { + +TORCH_API at::Tensor sigmoid_backward(const at::Tensor & grad_output, const at::Tensor & output); +TORCH_API at::Tensor & sigmoid_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output); +TORCH_API at::Tensor & sigmoid_backward_outf(const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..4ac4b1a9bed6ff5fbfaa0aa467859a446b8db3da --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h @@ -0,0 +1,26 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor & slice_copy_out(at::Tensor & out, const at::Tensor & self, int64_t dim=0, ::std::optional start=::std::nullopt, ::std::optional end=::std::nullopt, int64_t step=1); +TORCH_API at::Tensor & slice_copy_outf(const at::Tensor & self, int64_t dim, ::std::optional start, ::std::optional end, int64_t step, at::Tensor & out); +TORCH_API at::Tensor & slice_copy_symint_out(at::Tensor & out, const at::Tensor & self, int64_t dim=0, ::std::optional start=::std::nullopt, ::std::optional end=::std::nullopt, c10::SymInt step=1); +TORCH_API at::Tensor & slice_copy_symint_outf(const at::Tensor & self, int64_t dim, ::std::optional start, ::std::optional end, c10::SymInt step, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/smm_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/smm_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..9f734516fc449a327784cc677c8e64f39ef13744 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/smm_ops.h @@ -0,0 +1,28 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { +namespace _ops { + + +struct TORCH_API smm { + using schema = at::Tensor (const at::Tensor &, const at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::smm") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "smm(Tensor self, Tensor mat2) -> Tensor") + static at::Tensor call(const at::Tensor & self, const at::Tensor & mat2); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h new file mode 100644 index 0000000000000000000000000000000000000000..351fbcb23eb9fda00d0118cf5bfac96c74617901 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h @@ -0,0 +1,27 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace at { +namespace native { +struct TORCH_API structured_special_chebyshev_polynomial_t_out : public at::meta::structured_special_chebyshev_polynomial_t { +void impl(const at::Tensor & x, const at::Tensor & n, const at::Tensor & out); +}; +TORCH_API at::Tensor special_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n); +TORCH_API at::Tensor & special_chebyshev_polynomial_t_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out); +TORCH_API at::Tensor special_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n); +TORCH_API at::Tensor & special_chebyshev_polynomial_t_out(const at::Tensor & x, const at::Scalar & n, at::Tensor & out); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_erfcx_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_erfcx_meta.h new file mode 100644 index 0000000000000000000000000000000000000000..40220f5731fd7e31e9a5c4e71188c3567128f9cd --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_erfcx_meta.h @@ -0,0 +1,27 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeMetaFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace at { +namespace meta { + +struct TORCH_API structured_special_erfcx : public TensorIteratorBase { + + + void meta(const at::Tensor & self); +}; + +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..89a3420e6e8d57a3e2c8c35d810fccb7e63118ee --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h @@ -0,0 +1,25 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor special_modified_bessel_i1(const at::Tensor & self); +TORCH_API at::Tensor & special_modified_bessel_i1_out(at::Tensor & out, const at::Tensor & self); +TORCH_API at::Tensor & special_modified_bessel_i1_outf(const at::Tensor & self, at::Tensor & out); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..ac0ea9ebad14a82407ac01b14e13462c74bc9891 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h @@ -0,0 +1,25 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor special_shifted_chebyshev_polynomial_u(const at::Tensor & x, const at::Tensor & n); +TORCH_API at::Tensor & special_shifted_chebyshev_polynomial_u_out(at::Tensor & out, const at::Tensor & x, const at::Tensor & n); +TORCH_API at::Tensor & special_shifted_chebyshev_polynomial_u_outf(const at::Tensor & x, const at::Tensor & n, at::Tensor & out); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/t_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/t_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..716aa691739115faa77f02a8f5ceb07613731fea --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/t_ops.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { +namespace _ops { + + +struct TORCH_API t { + using schema = at::Tensor (const at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::t") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "t(Tensor(a) self) -> Tensor(a)") + static at::Tensor call(const at::Tensor & self); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self); +}; + +struct TORCH_API t_ { + using schema = at::Tensor & (at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::t_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "t_(Tensor(a!) self) -> Tensor(a!)") + static at::Tensor & call(at::Tensor & self); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..e6753baba53931e77faee19f7a7f197229656b1c --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautogradnonfunctional { + +TORCH_API at::Tensor tanh_backward(const at::Tensor & grad_output, const at::Tensor & output); + +} // namespace compositeexplicitautogradnonfunctional +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..490355337a43062f3a94e191f301819104d09f22 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h @@ -0,0 +1,23 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace cuda { + +TORCH_API ::std::tuple unique_dim_consecutive(const at::Tensor & self, int64_t dim, bool return_inverse=false, bool return_counts=false); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..16da4dddacebefb525c6b5e397cb0c679348e2bc --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h @@ -0,0 +1,24 @@ +#pragma once +// @generated by torchgen/gen.py from DispatchKeyFunction.h + +// NB: The implementing C++ file is RegisterDispatchKey.cpp + +// The only #includes we need are for custom classes that have defaults in the C++ API +#include +#include +#include + +// Forward declarations of any types needed in the operator signatures. +// We can't directly include these classes because it will cause circular include dependencies. +// This file is included by TensorBody.h, which defines the Tensor class. +#include + +namespace at { + +namespace compositeexplicitautogradnonfunctional { + +TORCH_API at::Tensor upsample_bicubic2d_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); +TORCH_API at::Tensor upsample_bicubic2d_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional scales_h=::std::nullopt, ::std::optional scales_w=::std::nullopt); + +} // namespace compositeexplicitautogradnonfunctional +} // namespace at