please linter

IPython/__main__.py

@@ -1,15 +1,15 b''
 # PYTHON_ARGCOMPLETE_OK
 # encoding: utf-8
 """Terminal-based IPython entry point.
 """
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 #  Copyright (c) 2012, IPython Development Team.
 #
 #  Distributed under the terms of the Modified BSD License.
 #
 #  The full license is in the file COPYING.txt, distributed with this software.
-#-----------------------------------------------------------------------------
+# -----------------------------------------------------------------------------
 
 from IPython import start_ipython
 
 start_ipython()

IPython/core/inputsplitter.py

@@ -1,795 +1,795 b''
 """DEPRECATED: Input handling and transformation machinery.
 
 This module was deprecated in IPython 7.0, in favour of inputtransformer2.
 
 The first class in this module, :class:`InputSplitter`, is designed to tell when
 input from a line-oriented frontend is complete and should be executed, and when
 the user should be prompted for another line of code instead. The name 'input
 splitter' is largely for historical reasons.
 
 A companion, :class:`IPythonInputSplitter`, provides the same functionality but
 with full support for the extended IPython syntax (magics, system calls, etc).
 The code to actually do these transformations is in :mod:`IPython.core.inputtransformer`.
 :class:`IPythonInputSplitter` feeds the raw code to the transformers in order
 and stores the results.
 
 For more details, see the class docstrings below.
 """
 
 from warnings import warn
 
 warn('IPython.core.inputsplitter is deprecated since IPython 7 in favor of `IPython.core.inputtransformer2`',
      DeprecationWarning)
 
 # Copyright (c) IPython Development Team.
 # Distributed under the terms of the Modified BSD License.
 import ast
 import codeop
 import io
 import re
 import sys
 import tokenize
 import warnings
 
 from typing import List, Tuple, Union, Optional
 from types import CodeType
 
 from IPython.core.inputtransformer import (leading_indent,
                                            classic_prompt,
                                            ipy_prompt,
                                            cellmagic,
                                            assemble_logical_lines,
                                            help_end,
                                            escaped_commands,
                                            assign_from_magic,
                                            assign_from_system,
                                            assemble_python_lines,
                                            )
 from IPython.utils import tokenutil
 
 # These are available in this module for backwards compatibility.
 from IPython.core.inputtransformer import (ESC_SHELL, ESC_SH_CAP, ESC_HELP,
                                         ESC_HELP2, ESC_MAGIC, ESC_MAGIC2,
                                         ESC_QUOTE, ESC_QUOTE2, ESC_PAREN, ESC_SEQUENCES)
 
 #-----------------------------------------------------------------------------
 # Utilities
 #-----------------------------------------------------------------------------
 
 # FIXME: These are general-purpose utilities that later can be moved to the
 # general ward.  Kept here for now because we're being very strict about test
 # coverage with this code, and this lets us ensure that we keep 100% coverage
 # while developing.
 
 # compiled regexps for autoindent management
 dedent_re = re.compile('|'.join([
     r'^\s+raise(\s.*)?$', # raise statement (+ space + other stuff, maybe)
     r'^\s+raise\([^\)]*\).*$', # wacky raise with immediate open paren
     r'^\s+return(\s.*)?$', # normal return (+ space + other stuff, maybe)
     r'^\s+return\([^\)]*\).*$', # wacky return with immediate open paren
     r'^\s+pass\s*$', # pass (optionally followed by trailing spaces)
     r'^\s+break\s*$', # break (optionally followed by trailing spaces)
     r'^\s+continue\s*$', # continue (optionally followed by trailing spaces)
 ]))
 ini_spaces_re = re.compile(r'^([ \t\r\f\v]+)')
 
 # regexp to match pure comment lines so we don't accidentally insert 'if 1:'
 # before pure comments
 comment_line_re = re.compile(r'^\s*\#')
 
 
 def num_ini_spaces(s):
     """Return the number of initial spaces in a string.
 
     Note that tabs are counted as a single space.  For now, we do *not* support
     mixing of tabs and spaces in the user's input.
 
     Parameters
     ----------
     s : string
 
     Returns
     -------
     n : int
     """
     warnings.warn(
         "`num_ini_spaces` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
     ini_spaces = ini_spaces_re.match(s)
     if ini_spaces:
         return ini_spaces.end()
     else:
         return 0
 
 # Fake token types for partial_tokenize:
 INCOMPLETE_STRING = tokenize.N_TOKENS
 IN_MULTILINE_STATEMENT = tokenize.N_TOKENS + 1
 
 # The 2 classes below have the same API as TokenInfo, but don't try to look up
 # a token type name that they won't find.
 class IncompleteString:
     type = exact_type = INCOMPLETE_STRING
     def __init__(self, s, start, end, line):
         self.s = s
         self.start = start
         self.end = end
         self.line = line
 
 class InMultilineStatement:
     type = exact_type = IN_MULTILINE_STATEMENT
     def __init__(self, pos, line):
         self.s = ''
         self.start = self.end = pos
         self.line = line
 
 def partial_tokens(s):
     """Iterate over tokens from a possibly-incomplete string of code.
 
     This adds two special token types: INCOMPLETE_STRING and
     IN_MULTILINE_STATEMENT. These can only occur as the last token yielded, and
     represent the two main ways for code to be incomplete.
     """
     readline = io.StringIO(s).readline
     token = tokenize.TokenInfo(tokenize.NEWLINE, '', (1, 0), (1, 0), '')
     try:
         for token in tokenutil.generate_tokens_catch_errors(readline):
             yield token
     except tokenize.TokenError as e:
         # catch EOF error
         lines = s.splitlines(keepends=True)
         end = len(lines), len(lines[-1])
         if 'multi-line string' in e.args[0]:
             l, c = start = token.end
             s = lines[l-1][c:] + ''.join(lines[l:])
             yield IncompleteString(s, start, end, lines[-1])
         elif 'multi-line statement' in e.args[0]:
             yield InMultilineStatement(end, lines[-1])
         else:
             raise
 
 def find_next_indent(code) -> int:
     """Find the number of spaces for the next line of indentation"""
     tokens = list(partial_tokens(code))
     if tokens[-1].type == tokenize.ENDMARKER:
         tokens.pop()
     if not tokens:
         return 0
 
     while tokens[-1].type in {
         tokenize.DEDENT,
         tokenize.NEWLINE,
         tokenize.COMMENT,
         tokenize.ERRORTOKEN,
     }:
         tokens.pop()
 
     # Starting in Python 3.12, the tokenize module adds implicit newlines at the end
     # of input. We need to remove those if we're in a multiline statement
     if tokens[-1].type == IN_MULTILINE_STATEMENT:
         while tokens[-2].type in {tokenize.NL}:
             tokens.pop(-2)
 
 
     if tokens[-1].type == INCOMPLETE_STRING:
         # Inside a multiline string
         return 0
 
     # Find the indents used before
     prev_indents = [0]
     def _add_indent(n):
         if n != prev_indents[-1]:
             prev_indents.append(n)
 
     tokiter = iter(tokens)
     for tok in tokiter:
         if tok.type in {tokenize.INDENT, tokenize.DEDENT}:
             _add_indent(tok.end[1])
         elif (tok.type == tokenize.NL):
             try:
                 _add_indent(next(tokiter).start[1])
             except StopIteration:
                 break
 
     last_indent = prev_indents.pop()
 
     # If we've just opened a multiline statement (e.g. 'a = ['), indent more
     if tokens[-1].type == IN_MULTILINE_STATEMENT:
         if tokens[-2].exact_type in {tokenize.LPAR, tokenize.LSQB, tokenize.LBRACE}:
             return last_indent + 4
         return last_indent
 
     if tokens[-1].exact_type == tokenize.COLON:
         # Line ends with colon - indent
         return last_indent + 4
 
     if last_indent:
         # Examine the last line for dedent cues - statements like return or
         # raise which normally end a block of code.
         last_line_starts = 0
         for i, tok in enumerate(tokens):
             if tok.type == tokenize.NEWLINE:
                 last_line_starts = i + 1
 
         last_line_tokens = tokens[last_line_starts:]
         names = [t.string for t in last_line_tokens if t.type == tokenize.NAME]
         if names and names[0] in {'raise', 'return', 'pass', 'break', 'continue'}:
             # Find the most recent indentation less than the current level
             for indent in reversed(prev_indents):
                 if indent < last_indent:
                     return indent
 
     return last_indent
 
 
 def last_blank(src):
     """Determine if the input source ends in a blank.
 
     A blank is either a newline or a line consisting of whitespace.
 
     Parameters
     ----------
     src : string
         A single or multiline string.
     """
     if not src: return False
     ll  = src.splitlines()[-1]
     return (ll == '') or ll.isspace()
 
 
 last_two_blanks_re = re.compile(r'\n\s*\n\s*$', re.MULTILINE)
 last_two_blanks_re2 = re.compile(r'.+\n\s*\n\s+$', re.MULTILINE)
 
 def last_two_blanks(src):
     """Determine if the input source ends in two blanks.
 
     A blank is either a newline or a line consisting of whitespace.
 
     Parameters
     ----------
     src : string
         A single or multiline string.
     """
     if not src: return False
     # The logic here is tricky: I couldn't get a regexp to work and pass all
     # the tests, so I took a different approach: split the source by lines,
     # grab the last two and prepend '###\n' as a stand-in for whatever was in
     # the body before the last two lines.  Then, with that structure, it's
     # possible to analyze with two regexps.  Not the most elegant solution, but
     # it works.  If anyone tries to change this logic, make sure to validate
     # the whole test suite first!
     new_src = '\n'.join(['###\n'] + src.splitlines()[-2:])
     return (bool(last_two_blanks_re.match(new_src)) or
             bool(last_two_blanks_re2.match(new_src)) )
 
 
 def remove_comments(src):
     """Remove all comments from input source.
 
     Note: comments are NOT recognized inside of strings!
 
     Parameters
     ----------
     src : string
         A single or multiline input string.
 
     Returns
     -------
     String with all Python comments removed.
     """
 
     return re.sub('#.*', '', src)
 
 
 def get_input_encoding():
     """Return the default standard input encoding.
 
     If sys.stdin has no encoding, 'ascii' is returned."""
     # There are strange environments for which sys.stdin.encoding is None. We
     # ensure that a valid encoding is returned.
     encoding = getattr(sys.stdin, 'encoding', None)
     if encoding is None:
         encoding = 'ascii'
     return encoding
 
 #-----------------------------------------------------------------------------
 # Classes and functions for normal Python syntax handling
 #-----------------------------------------------------------------------------
 
 class InputSplitter(object):
     r"""An object that can accumulate lines of Python source before execution.
 
     This object is designed to be fed python source line-by-line, using
     :meth:`push`. It will return on each push whether the currently pushed
     code could be executed already. In addition, it provides a method called
     :meth:`push_accepts_more` that can be used to query whether more input
     can be pushed into a single interactive block.
 
     This is a simple example of how an interactive terminal-based client can use
     this tool::
 
         isp = InputSplitter()
         while isp.push_accepts_more():
             indent = ' '*isp.indent_spaces
             prompt = '>>> ' + indent
             line = indent + raw_input(prompt)
             isp.push(line)
         print 'Input source was:\n', isp.source_reset(),
     """
     # A cache for storing the current indentation
     # The first value stores the most recently processed source input
     # The second value is the number of spaces for the current indentation 
     # If self.source matches the first value, the second value is a valid
     # current indentation. Otherwise, the cache is invalid and the indentation
     # must be recalculated.
     _indent_spaces_cache: Union[Tuple[None, None], Tuple[str, int]] = None, None
     # String, indicating the default input encoding.  It is computed by default
     # at initialization time via get_input_encoding(), but it can be reset by a
     # client with specific knowledge of the encoding.
     encoding = ''
     # String where the current full source input is stored, properly encoded.
     # Reading this attribute is the normal way of querying the currently pushed
     # source code, that has been properly encoded.
     source: str = ""
     # Code object corresponding to the current source.  It is automatically
     # synced to the source, so it can be queried at any time to obtain the code
     # object; it will be None if the source doesn't compile to valid Python.
-    code:Optional[CodeType] = None
+    code: Optional[CodeType] = None
 
     # Private attributes
 
     # List with lines of input accumulated so far
     _buffer: List[str]
     # Command compiler
     _compile: codeop.CommandCompiler
     # Boolean indicating whether the current block is complete
-    _is_complete:Optional[bool] = None
+    _is_complete: Optional[bool] = None
     # Boolean indicating whether the current block has an unrecoverable syntax error
-    _is_invalid:bool = False
+    _is_invalid: bool = False
 
     def __init__(self) -> None:
         """Create a new InputSplitter instance."""
         self._buffer = []
         self._compile = codeop.CommandCompiler()
         self.encoding = get_input_encoding()
 
     def reset(self):
         """Reset the input buffer and associated state."""
         self._buffer[:] = []
         self.source = ''
         self.code = None
         self._is_complete = False
         self._is_invalid = False
 
     def source_reset(self):
         """Return the input source and perform a full reset.
         """
         out = self.source
         self.reset()
         return out
 
     def check_complete(self, source):
         """Return whether a block of code is ready to execute, or should be continued
 
         This is a non-stateful API, and will reset the state of this InputSplitter.
 
         Parameters
         ----------
         source : string
             Python input code, which can be multiline.
 
         Returns
         -------
         status : str
             One of 'complete', 'incomplete', or 'invalid' if source is not a
             prefix of valid code.
         indent_spaces : int or None
             The number of spaces by which to indent the next line of code. If
             status is not 'incomplete', this is None.
         """
         self.reset()
         try:
             self.push(source)
         except SyntaxError:
             # Transformers in IPythonInputSplitter can raise SyntaxError,
             # which push() will not catch.
             return 'invalid', None
         else:
             if self._is_invalid:
                 return 'invalid', None
             elif self.push_accepts_more():
                 return 'incomplete', self.get_indent_spaces()
             else:
                 return 'complete', None
         finally:
             self.reset()
 
     def push(self, lines:str) -> bool:
         """Push one or more lines of input.
 
         This stores the given lines and returns a status code indicating
         whether the code forms a complete Python block or not.
 
         Any exceptions generated in compilation are swallowed, but if an
         exception was produced, the method returns True.
 
         Parameters
         ----------
         lines : string
             One or more lines of Python input.
 
         Returns
         -------
         is_complete : boolean
             True if the current input source (the result of the current input
             plus prior inputs) forms a complete Python execution block.  Note that
             this value is also stored as a private attribute (``_is_complete``), so it
             can be queried at any time.
         """
         assert isinstance(lines, str)
         self._store(lines)
         source = self.source
 
         # Before calling _compile(), reset the code object to None so that if an
         # exception is raised in compilation, we don't mislead by having
         # inconsistent code/source attributes.
         self.code, self._is_complete = None, None
         self._is_invalid = False
 
         # Honor termination lines properly
         if source.endswith('\\\n'):
             return False
 
         try:
             with warnings.catch_warnings():
                 warnings.simplefilter('error', SyntaxWarning)
                 self.code = self._compile(source, symbol="exec")
         # Invalid syntax can produce any of a number of different errors from
         # inside the compiler, so we have to catch them all.  Syntax errors
         # immediately produce a 'ready' block, so the invalid Python can be
         # sent to the kernel for evaluation with possible ipython
         # special-syntax conversion.
         except (SyntaxError, OverflowError, ValueError, TypeError,
                 MemoryError, SyntaxWarning):
             self._is_complete = True
             self._is_invalid = True
         else:
             # Compilation didn't produce any exceptions (though it may not have
             # given a complete code object)
             self._is_complete = self.code is not None
 
         return self._is_complete
 
     def push_accepts_more(self):
         """Return whether a block of interactive input can accept more input.
 
         This method is meant to be used by line-oriented frontends, who need to
         guess whether a block is complete or not based solely on prior and
         current input lines.  The InputSplitter considers it has a complete
         interactive block and will not accept more input when either:
 
         * A SyntaxError is raised
 
         * The code is complete and consists of a single line or a single
           non-compound statement
 
         * The code is complete and has a blank line at the end
 
         If the current input produces a syntax error, this method immediately
         returns False but does *not* raise the syntax error exception, as
         typically clients will want to send invalid syntax to an execution
         backend which might convert the invalid syntax into valid Python via
         one of the dynamic IPython mechanisms.
         """
 
         # With incomplete input, unconditionally accept more
         # A syntax error also sets _is_complete to True - see push()
         if not self._is_complete:
             #print("Not complete")  # debug
             return True
         
         # The user can make any (complete) input execute by leaving a blank line
         last_line = self.source.splitlines()[-1]
         if (not last_line) or last_line.isspace():
             #print("Blank line")  # debug
             return False
         
         # If there's just a single line or AST node, and we're flush left, as is
         # the case after a simple statement such as 'a=1', we want to execute it
         # straight away.
         if self.get_indent_spaces() == 0:
             if len(self.source.splitlines()) <= 1:
                 return False
             
             try:
                 code_ast = ast.parse("".join(self._buffer))
             except Exception:
                 #print("Can't parse AST")  # debug
                 return False
             else:
                 if len(code_ast.body) == 1 and \
                                     not hasattr(code_ast.body[0], 'body'):
                     #print("Simple statement")  # debug
                     return False
 
         # General fallback - accept more code
         return True
 
     def get_indent_spaces(self) -> int:
         sourcefor, n = self._indent_spaces_cache
         if sourcefor == self.source:
             assert n is not None
             return n
 
         # self.source always has a trailing newline
         n = find_next_indent(self.source[:-1])
         self._indent_spaces_cache = (self.source, n)
         return n
 
     # Backwards compatibility. I think all code that used .indent_spaces was
     # inside IPython, but we can leave this here until IPython 7 in case any
     # other modules are using it. -TK, November 2017
     indent_spaces = property(get_indent_spaces)
 
     def _store(self, lines, buffer=None, store='source'):
         """Store one or more lines of input.
 
         If input lines are not newline-terminated, a newline is automatically
         appended."""
 
         if buffer is None:
             buffer = self._buffer
 
         if lines.endswith('\n'):
             buffer.append(lines)
         else:
             buffer.append(lines+'\n')
         setattr(self, store, self._set_source(buffer))
 
     def _set_source(self, buffer):
         return u''.join(buffer)
 
 
 class IPythonInputSplitter(InputSplitter):
     """An input splitter that recognizes all of IPython's special syntax."""
 
     # String with raw, untransformed input.
     source_raw = ''
     
     # Flag to track when a transformer has stored input that it hasn't given
     # back yet.
     transformer_accumulating = False
     
     # Flag to track when assemble_python_lines has stored input that it hasn't
     # given back yet.
     within_python_line = False
 
     # Private attributes
 
     # List with lines of raw input accumulated so far.
     _buffer_raw: List[str]
 
     def __init__(self, line_input_checker=True, physical_line_transforms=None,
                     logical_line_transforms=None, python_line_transforms=None):
         super(IPythonInputSplitter, self).__init__()
         self._buffer_raw = []
         self._validate = True
         
         if physical_line_transforms is not None:
             self.physical_line_transforms = physical_line_transforms
         else:
             self.physical_line_transforms = [
                                              leading_indent(),
                                              classic_prompt(),
                                              ipy_prompt(),
                                              cellmagic(end_on_blank_line=line_input_checker),
                                             ]
         
         self.assemble_logical_lines = assemble_logical_lines()
         if logical_line_transforms is not None:
             self.logical_line_transforms = logical_line_transforms
         else:
             self.logical_line_transforms = [
                                             help_end(),
                                             escaped_commands(),
                                             assign_from_magic(),
                                             assign_from_system(),
                                            ]
         
         self.assemble_python_lines = assemble_python_lines()
         if python_line_transforms is not None:
             self.python_line_transforms = python_line_transforms
         else:
             # We don't use any of these at present
             self.python_line_transforms = []
     
     @property
     def transforms(self):
         "Quick access to all transformers."
         return self.physical_line_transforms + \
             [self.assemble_logical_lines] + self.logical_line_transforms + \
             [self.assemble_python_lines]  + self.python_line_transforms
     
     @property
     def transforms_in_use(self):
         """Transformers, excluding logical line transformers if we're in a
         Python line."""
         t = self.physical_line_transforms[:]
         if not self.within_python_line:
             t += [self.assemble_logical_lines] + self.logical_line_transforms
         return t + [self.assemble_python_lines] + self.python_line_transforms
 
     def reset(self):
         """Reset the input buffer and associated state."""
         super(IPythonInputSplitter, self).reset()
         self._buffer_raw[:] = []
         self.source_raw = ''
         self.transformer_accumulating = False
         self.within_python_line = False
 
         for t in self.transforms:
             try:
                 t.reset()
             except SyntaxError:
                 # Nothing that calls reset() expects to handle transformer
                 # errors
                 pass
     
     def flush_transformers(self):
         def _flush(transform, outs):
             """yield transformed lines
 
             always strings, never None
 
             transform: the current transform
             outs: an iterable of previously transformed inputs.
                  Each may be multiline, which will be passed
                  one line at a time to transform.
             """
             for out in outs:
                 for line in out.splitlines():
                     # push one line at a time
                     tmp = transform.push(line)
                     if tmp is not None:
                         yield tmp
             
             # reset the transform
             tmp = transform.reset()
             if tmp is not None:
                 yield tmp
 
         out: List[str] = []
         for t in self.transforms_in_use:
             out = _flush(t, out)
         
         out = list(out)
         if out:
             self._store('\n'.join(out))
 
     def raw_reset(self):
         """Return raw input only and perform a full reset.
         """
         out = self.source_raw
         self.reset()
         return out
     
     def source_reset(self):
         try:
             self.flush_transformers()
             return self.source
         finally:
             self.reset()
 
     def push_accepts_more(self):
         if self.transformer_accumulating:
             return True
         else:
             return super(IPythonInputSplitter, self).push_accepts_more()
 
     def transform_cell(self, cell):
         """Process and translate a cell of input.
         """
         self.reset()
         try:
             self.push(cell)
             self.flush_transformers()
             return self.source
         finally:
             self.reset()
 
     def push(self, lines:str) -> bool:
         """Push one or more lines of IPython input.
 
         This stores the given lines and returns a status code indicating
         whether the code forms a complete Python block or not, after processing
         all input lines for special IPython syntax.
 
         Any exceptions generated in compilation are swallowed, but if an
         exception was produced, the method returns True.
 
         Parameters
         ----------
         lines : string
             One or more lines of Python input.
 
         Returns
         -------
         is_complete : boolean
             True if the current input source (the result of the current input
             plus prior inputs) forms a complete Python execution block.  Note that
             this value is also stored as a private attribute (_is_complete), so it
             can be queried at any time.
         """
         assert isinstance(lines, str)
         # We must ensure all input is pure unicode
         # ''.splitlines() --> [], but we need to push the empty line to transformers
         lines_list = lines.splitlines()
         if not lines_list:
             lines_list = ['']
 
         # Store raw source before applying any transformations to it.  Note
         # that this must be done *after* the reset() call that would otherwise
         # flush the buffer.
         self._store(lines, self._buffer_raw, 'source_raw')
 
         transformed_lines_list = []
         for line in lines_list:
             transformed = self._transform_line(line)
             if transformed is not None:
                 transformed_lines_list.append(transformed)
 
         if transformed_lines_list:
             transformed_lines = '\n'.join(transformed_lines_list)
             return super(IPythonInputSplitter, self).push(transformed_lines)
         else:
             # Got nothing back from transformers - they must be waiting for
             # more input.
             return False
 
     def _transform_line(self, line):
         """Push a line of input code through the various transformers.
 
         Returns any output from the transformers, or None if a transformer
         is accumulating lines.
 
         Sets self.transformer_accumulating as a side effect.
         """
         def _accumulating(dbg):
             #print(dbg)
             self.transformer_accumulating = True
             return None
 
         for transformer in self.physical_line_transforms:
             line = transformer.push(line)
             if line is None:
                 return _accumulating(transformer)
 
         if not self.within_python_line:
             line = self.assemble_logical_lines.push(line)
             if line is None:
                 return _accumulating('acc logical line')
 
             for transformer in self.logical_line_transforms:
                 line = transformer.push(line)
                 if line is None:
                     return _accumulating(transformer)
 
         line = self.assemble_python_lines.push(line)
         if line is None:
             self.within_python_line = True
             return _accumulating('acc python line')
         else:
             self.within_python_line = False
 
         for transformer in self.python_line_transforms:
             line = transformer.push(line)
             if line is None:
                 return _accumulating(transformer)
 
         #print("transformers clear") #debug
         self.transformer_accumulating = False
         return line
 

IPython/core/inputtransformer.py

@@ -1,539 +1,544 b''
 """DEPRECATED: Input transformer classes to support IPython special syntax.
 
 This module was deprecated in IPython 7.0, in favour of inputtransformer2.
 
 This includes the machinery to recognise and transform ``%magic`` commands,
 ``!system`` commands, ``help?`` querying, prompt stripping, and so forth.
 """
 import abc
 import functools
 import re
 import tokenize
 from tokenize import untokenize, TokenError
 from io import StringIO
 
 from IPython.core.splitinput import LineInfo
 from IPython.utils import tokenutil
 
 #-----------------------------------------------------------------------------
 # Globals
 #-----------------------------------------------------------------------------
 
 # The escape sequences that define the syntax transformations IPython will
 # apply to user input.  These can NOT be just changed here: many regular
 # expressions and other parts of the code may use their hardcoded values, and
 # for all intents and purposes they constitute the 'IPython syntax', so they
 # should be considered fixed.
 
 ESC_SHELL  = '!'     # Send line to underlying system shell
 ESC_SH_CAP = '!!'    # Send line to system shell and capture output
 ESC_HELP   = '?'     # Find information about object
 ESC_HELP2  = '??'    # Find extra-detailed information about object
 ESC_MAGIC  = '%'     # Call magic function
 ESC_MAGIC2 = '%%'    # Call cell-magic function
 ESC_QUOTE  = ','     # Split args on whitespace, quote each as string and call
 ESC_QUOTE2 = ';'     # Quote all args as a single string, call
 ESC_PAREN  = '/'     # Call first argument with rest of line as arguments
 
 ESC_SEQUENCES = [ESC_SHELL, ESC_SH_CAP, ESC_HELP ,\
                  ESC_HELP2, ESC_MAGIC, ESC_MAGIC2,\
                  ESC_QUOTE, ESC_QUOTE2, ESC_PAREN ]
 
 
 class InputTransformer(metaclass=abc.ABCMeta):
     """Abstract base class for line-based input transformers."""
     
     @abc.abstractmethod
     def push(self, line):
         """Send a line of input to the transformer, returning the transformed
         input or None if the transformer is waiting for more input.
 
         Must be overridden by subclasses.
 
         Implementations may raise ``SyntaxError`` if the input is invalid. No
         other exceptions may be raised.
         """
         pass
     
     @abc.abstractmethod
     def reset(self):
         """Return, transformed any lines that the transformer has accumulated,
         and reset its internal state.
 
         Must be overridden by subclasses.
         """
         pass
     
     @classmethod
     def wrap(cls, func):
         """Can be used by subclasses as a decorator, to return a factory that
         will allow instantiation with the decorated object.
         """
         @functools.wraps(func)
         def transformer_factory(**kwargs):
-            return cls(func, **kwargs) # type: ignore [call-arg]
-        
+            return cls(func, **kwargs)  # type: ignore [call-arg]
+
         return transformer_factory
 
 class StatelessInputTransformer(InputTransformer):
     """Wrapper for a stateless input transformer implemented as a function."""
     def __init__(self, func):
         self.func = func
     
     def __repr__(self):
         return "StatelessInputTransformer(func={0!r})".format(self.func)
     
     def push(self, line):
         """Send a line of input to the transformer, returning the
         transformed input."""
         return self.func(line)
     
     def reset(self):
         """No-op - exists for compatibility."""
         pass
 
 class CoroutineInputTransformer(InputTransformer):
     """Wrapper for an input transformer implemented as a coroutine."""
     def __init__(self, coro, **kwargs):
         # Prime it
         self.coro = coro(**kwargs)
         next(self.coro)
     
     def __repr__(self):
         return "CoroutineInputTransformer(coro={0!r})".format(self.coro)
     
     def push(self, line):
         """Send a line of input to the transformer, returning the
         transformed input or None if the transformer is waiting for more
         input.
         """
         return self.coro.send(line)
     
     def reset(self):
         """Return, transformed any lines that the transformer has
         accumulated, and reset its internal state.
         """
         return self.coro.send(None)
 
 class TokenInputTransformer(InputTransformer):
     """Wrapper for a token-based input transformer.
     
     func should accept a list of tokens (5-tuples, see tokenize docs), and
     return an iterable which can be passed to tokenize.untokenize().
     """
     def __init__(self, func):
         self.func = func
         self.buf = []
         self.reset_tokenizer()
 
     def reset_tokenizer(self):
         it = iter(self.buf)
         self.tokenizer = tokenutil.generate_tokens_catch_errors(it.__next__)
 
     def push(self, line):
         self.buf.append(line + '\n')
         if all(l.isspace() for l in self.buf):
             return self.reset()
 
         tokens = []
         stop_at_NL = False
         try:
             for intok in self.tokenizer:
                 tokens.append(intok)
                 t = intok[0]
                 if t == tokenize.NEWLINE or (stop_at_NL and t == tokenize.NL):
                     # Stop before we try to pull a line we don't have yet
                     break
                 elif t == tokenize.ERRORTOKEN:
                     stop_at_NL = True
         except TokenError:
             # Multi-line statement - stop and try again with the next line
             self.reset_tokenizer()
             return None
         
         return self.output(tokens)
     
     def output(self, tokens):
         self.buf.clear()
         self.reset_tokenizer()
         return untokenize(self.func(tokens)).rstrip('\n')
     
     def reset(self):
         l = ''.join(self.buf)
         self.buf.clear()
         self.reset_tokenizer()
         if l:
             return l.rstrip('\n')
 
 class assemble_python_lines(TokenInputTransformer):
     def __init__(self):
         super(assemble_python_lines, self).__init__(None)
     
     def output(self, tokens):
         return self.reset()
 
 @CoroutineInputTransformer.wrap
 def assemble_logical_lines():
     r"""Join lines following explicit line continuations (\)"""
     line = ''
     while True:
         line = (yield line)
         if not line or line.isspace():
             continue
         
         parts = []
         while line is not None:
             if line.endswith('\\') and (not has_comment(line)):
                 parts.append(line[:-1])
                 line = (yield None) # Get another line
             else:
                 parts.append(line)
                 break
         
         # Output
         line = ''.join(parts)
 
 # Utilities
-def _make_help_call(target:str, esc:str, lspace:str) -> str:
+def _make_help_call(target: str, esc: str, lspace: str) -> str:
     """Prepares a pinfo(2)/psearch call from a target name and the escape
     (i.e. ? or ??)"""
     method  = 'pinfo2' if esc == '??' \
                 else 'psearch' if '*' in target \
                 else 'pinfo'
     arg = " ".join([method, target])
     #Prepare arguments for get_ipython().run_line_magic(magic_name, magic_args)
     t_magic_name, _, t_magic_arg_s = arg.partition(' ')
     t_magic_name = t_magic_name.lstrip(ESC_MAGIC)
     return "%sget_ipython().run_line_magic(%r, %r)" % (
         lspace,
         t_magic_name,
         t_magic_arg_s,
     )
 
 
 # These define the transformations for the different escape characters.
-def _tr_system(line_info:LineInfo):
+def _tr_system(line_info: LineInfo):
     "Translate lines escaped with: !"
     cmd = line_info.line.lstrip().lstrip(ESC_SHELL)
     return '%sget_ipython().system(%r)' % (line_info.pre, cmd)
 
-def _tr_system2(line_info:LineInfo):
+
+def _tr_system2(line_info: LineInfo):
     "Translate lines escaped with: !!"
     cmd = line_info.line.lstrip()[2:]
     return '%sget_ipython().getoutput(%r)' % (line_info.pre, cmd)
 
-def _tr_help(line_info:LineInfo):
+
+def _tr_help(line_info: LineInfo):
     "Translate lines escaped with: ?/??"
     # A naked help line should just fire the intro help screen
     if not line_info.line[1:]:
         return 'get_ipython().show_usage()'
 
     return _make_help_call(line_info.ifun, line_info.esc, line_info.pre)
 
-def _tr_magic(line_info:LineInfo):
+
+def _tr_magic(line_info: LineInfo):
     "Translate lines escaped with: %"
     tpl = '%sget_ipython().run_line_magic(%r, %r)'
     if line_info.line.startswith(ESC_MAGIC2):
         return line_info.line
     cmd = ' '.join([line_info.ifun, line_info.the_rest]).strip()
     #Prepare arguments for get_ipython().run_line_magic(magic_name, magic_args)
     t_magic_name, _, t_magic_arg_s = cmd.partition(' ')
     t_magic_name = t_magic_name.lstrip(ESC_MAGIC)
     return tpl % (line_info.pre, t_magic_name, t_magic_arg_s)
 
-def _tr_quote(line_info:LineInfo):
+
+def _tr_quote(line_info: LineInfo):
     "Translate lines escaped with: ,"
     return '%s%s("%s")' % (line_info.pre, line_info.ifun,
                          '", "'.join(line_info.the_rest.split()) )
 
-def _tr_quote2(line_info:LineInfo):
+
+def _tr_quote2(line_info: LineInfo):
     "Translate lines escaped with: ;"
     return '%s%s("%s")' % (line_info.pre, line_info.ifun,
                            line_info.the_rest)
 
-def _tr_paren(line_info:LineInfo):
+
+def _tr_paren(line_info: LineInfo):
     "Translate lines escaped with: /"
     return '%s%s(%s)' % (line_info.pre, line_info.ifun,
                          ", ".join(line_info.the_rest.split()))
 
 tr = { ESC_SHELL  : _tr_system,
        ESC_SH_CAP : _tr_system2,
        ESC_HELP   : _tr_help,
        ESC_HELP2  : _tr_help,
        ESC_MAGIC  : _tr_magic,
        ESC_QUOTE  : _tr_quote,
        ESC_QUOTE2 : _tr_quote2,
        ESC_PAREN  : _tr_paren }
 
 @StatelessInputTransformer.wrap
-def escaped_commands(line:str):
-    """Transform escaped commands - %magic, !system, ?help + various autocalls.
-    """
+def escaped_commands(line: str):
+    """Transform escaped commands - %magic, !system, ?help + various autocalls."""
     if not line or line.isspace():
         return line
     lineinf = LineInfo(line)
     if lineinf.esc not in tr:
         return line
     
     return tr[lineinf.esc](lineinf)
 
 _initial_space_re = re.compile(r'\s*')
 
 _help_end_re = re.compile(r"""(%{0,2}
                               (?!\d)[\w*]+            # Variable name
                               (\.(?!\d)[\w*]+)*       # .etc.etc
                               )
                               (\?\??)$                # ? or ??
                               """,
                               re.VERBOSE)
 
 # Extra pseudotokens for multiline strings and data structures
 _MULTILINE_STRING = object()
 _MULTILINE_STRUCTURE = object()
 
 def _line_tokens(line):
     """Helper for has_comment and ends_in_comment_or_string."""
     readline = StringIO(line).readline
     toktypes = set()
     try:
         for t in tokenutil.generate_tokens_catch_errors(readline):
             toktypes.add(t[0])
     except TokenError as e:
         # There are only two cases where a TokenError is raised.
         if 'multi-line string' in e.args[0]:
             toktypes.add(_MULTILINE_STRING)
         else:
             toktypes.add(_MULTILINE_STRUCTURE)
     return toktypes
 
 def has_comment(src):
     """Indicate whether an input line has (i.e. ends in, or is) a comment.
 
     This uses tokenize, so it can distinguish comments from # inside strings.
 
     Parameters
     ----------
     src : string
         A single line input string.
 
     Returns
     -------
     comment : bool
         True if source has a comment.
     """
     return (tokenize.COMMENT in _line_tokens(src))
 
 def ends_in_comment_or_string(src):
     """Indicates whether or not an input line ends in a comment or within
     a multiline string.
 
     Parameters
     ----------
     src : string
         A single line input string.
 
     Returns
     -------
     comment : bool
         True if source ends in a comment or multiline string.
     """
     toktypes = _line_tokens(src)
     return (tokenize.COMMENT in toktypes) or (_MULTILINE_STRING in toktypes)
         
 
 @StatelessInputTransformer.wrap
-def help_end(line:str):
+def help_end(line: str):
     """Translate lines with ?/?? at the end"""
     m = _help_end_re.search(line)
     if m is None or ends_in_comment_or_string(line):
         return line
     target = m.group(1)
     esc = m.group(3)
     match = _initial_space_re.match(line)
     assert match is not None
     lspace = match.group(0)
 
     return _make_help_call(target, esc, lspace)
 
 
 @CoroutineInputTransformer.wrap
-def cellmagic(end_on_blank_line:bool=False):
+def cellmagic(end_on_blank_line: bool = False):
     """Captures & transforms cell magics.
 
     After a cell magic is started, this stores up any lines it gets until it is
     reset (sent None).
     """
     tpl = 'get_ipython().run_cell_magic(%r, %r, %r)'
     cellmagic_help_re = re.compile(r'%%\w+\?')
     line = ''
     while True:
         line = (yield line)
         # consume leading empty lines
         while not line:
             line = (yield line)
         
         if not line.startswith(ESC_MAGIC2):
             # This isn't a cell magic, idle waiting for reset then start over
             while line is not None:
                 line = (yield line)
             continue
         
         if cellmagic_help_re.match(line):
             # This case will be handled by help_end
             continue
         
         first = line
         body = []
         line = (yield None)
         while (line is not None) and \
                                 ((line.strip() != '') or not end_on_blank_line):
             body.append(line)
             line = (yield None)
         
         # Output
         magic_name, _, first = first.partition(' ')
         magic_name = magic_name.lstrip(ESC_MAGIC2)
         line = tpl % (magic_name, first, u'\n'.join(body))
 
 
 def _strip_prompts(prompt_re, initial_re=None, turnoff_re=None):
     """Remove matching input prompts from a block of input.
 
     Parameters
     ----------
     prompt_re : regular expression
         A regular expression matching any input prompt (including continuation)
     initial_re : regular expression, optional
         A regular expression matching only the initial prompt, but not continuation.
         If no initial expression is given, prompt_re will be used everywhere.
         Used mainly for plain Python prompts, where the continuation prompt
         ``...`` is a valid Python expression in Python 3, so shouldn't be stripped.
 
     Notes
     -----
     If `initial_re` and `prompt_re differ`,
     only `initial_re` will be tested against the first line.
     If any prompt is found on the first two lines,
     prompts will be stripped from the rest of the block.
     """
     if initial_re is None:
         initial_re = prompt_re
     line = ''
     while True:
         line = (yield line)
         
         # First line of cell
         if line is None:
             continue
         out, n1 = initial_re.subn('', line, count=1)
         if turnoff_re and not n1:
             if turnoff_re.match(line):
                 # We're in e.g. a cell magic; disable this transformer for
                 # the rest of the cell.
                 while line is not None:
                     line = (yield line)
                 continue
 
         line = (yield out)
         
         if line is None:
             continue
         # check for any prompt on the second line of the cell,
         # because people often copy from just after the first prompt,
         # so we might not see it in the first line.
         out, n2 = prompt_re.subn('', line, count=1)
         line = (yield out)
         
         if n1 or n2:
             # Found a prompt in the first two lines - check for it in
             # the rest of the cell as well.
             while line is not None:
                 line = (yield prompt_re.sub('', line, count=1))
         
         else:
             # Prompts not in input - wait for reset
             while line is not None:
                 line = (yield line)
 
 @CoroutineInputTransformer.wrap
 def classic_prompt():
     """Strip the >>>/... prompts of the Python interactive shell."""
     # FIXME: non-capturing version (?:...) usable?
     prompt_re = re.compile(r'^(>>>|\.\.\.)( |$)')
     initial_re = re.compile(r'^>>>( |$)')
     # Any %magic/!system is IPython syntax, so we needn't look for >>> prompts
     turnoff_re = re.compile(r'^[%!]')
     return _strip_prompts(prompt_re, initial_re, turnoff_re)
 
 @CoroutineInputTransformer.wrap
 def ipy_prompt():
     """Strip IPython's In [1]:/...: prompts."""
     # FIXME: non-capturing version (?:...) usable?
     prompt_re = re.compile(r'^(In \[\d+\]: |\s*\.{3,}: ?)')
     # Disable prompt stripping inside cell magics
     turnoff_re = re.compile(r'^%%')
     return _strip_prompts(prompt_re, turnoff_re=turnoff_re)
 
 
 @CoroutineInputTransformer.wrap
 def leading_indent():
     """Remove leading indentation.
 
     If the first line starts with a spaces or tabs, the same whitespace will be
     removed from each following line until it is reset.
     """
     space_re = re.compile(r'^[ \t]+')
     line = ''
     while True:
         line = (yield line)
         
         if line is None:
             continue
         
         m = space_re.match(line)
         if m:
             space = m.group(0)
             while line is not None:
                 if line.startswith(space):
                     line = line[len(space):]
                 line = (yield line)
         else:
             # No leading spaces - wait for reset
             while line is not None:
                 line = (yield line)
 
 
 _assign_pat = \
 r'''(?P<lhs>(\s*)
     ([\w\.]+)                # Initial identifier
     (\s*,\s*
         \*?[\w\.]+)*         # Further identifiers for unpacking
     \s*?,?                   # Trailing comma
     )
     \s*=\s*
 '''
 
 assign_system_re = re.compile(r'{}!\s*(?P<cmd>.*)'.format(_assign_pat), re.VERBOSE)
 assign_system_template = '%s = get_ipython().getoutput(%r)'
 @StatelessInputTransformer.wrap
 def assign_from_system(line):
     """Transform assignment from system commands (e.g. files = !ls)"""
     m = assign_system_re.match(line)
     if m is None:
         return line
     
     return assign_system_template % m.group('lhs', 'cmd')
 
 assign_magic_re = re.compile(r'{}%\s*(?P<cmd>.*)'.format(_assign_pat), re.VERBOSE)
 assign_magic_template = '%s = get_ipython().run_line_magic(%r, %r)'
 @StatelessInputTransformer.wrap
 def assign_from_magic(line):
     """Transform assignment from magic commands (e.g. a = %who_ls)"""
     m = assign_magic_re.match(line)
     if m is None:
         return line
     #Prepare arguments for get_ipython().run_line_magic(magic_name, magic_args)
     m_lhs, m_cmd = m.group('lhs', 'cmd')
     t_magic_name, _, t_magic_arg_s = m_cmd.partition(' ')
     t_magic_name = t_magic_name.lstrip(ESC_MAGIC)
     return assign_magic_template % (m_lhs, t_magic_name, t_magic_arg_s)

IPython/utils/py3compat.py

@@ -1,67 +1,68 b''
 # coding: utf-8
 """Compatibility tricks for Python 3. Mainly to do with unicode.
 
 This file is deprecated and will be removed in a future version.
 """
 import platform
 import builtins as builtin_mod
 
 from .encoding import DEFAULT_ENCODING
 
 
 def decode(s, encoding=None):
     encoding = encoding or DEFAULT_ENCODING
     return s.decode(encoding, "replace")
 
 
 def encode(u, encoding=None):
     encoding = encoding or DEFAULT_ENCODING
     return u.encode(encoding, "replace")
 
 
 def cast_unicode(s, encoding=None):
     if isinstance(s, bytes):
         return decode(s, encoding)
     return s
 
 
 def safe_unicode(e):
     """unicode(e) with various fallbacks. Used for exceptions, which may not be
     safe to call unicode() on.
     """
     try:
         return str(e)
     except UnicodeError:
         pass
 
     try:
         return repr(e)
     except UnicodeError:
         pass
 
     return "Unrecoverably corrupt evalue"
 
 
 # keep reference to builtin_mod because the kernel overrides that value
 # to forward requests to a frontend.
 def input(prompt=""):
     return builtin_mod.input(prompt)
 
 
 def execfile(fname, glob, loc=None, compiler=None):
     loc = loc if (loc is not None) else glob
     with open(fname, "rb") as f:
         compiler = compiler or compile
         exec(compiler(f.read(), fname, "exec"), glob, loc)
 
 
 PYPY = platform.python_implementation() == "PyPy"
 
+
 # Cython still rely on that as a Dec 28 2019
 # See https://github.com/cython/cython/pull/3291 and
 # https://github.com/ipython/ipython/issues/12068
 def no_code(x, encoding=None):
     return x
 
 
 unicode_to_str = cast_bytes_py2 = no_code

IPython/utils/text.py

@@ -1,785 +1,799 b''
 # encoding: utf-8
 """
 Utilities for working with strings and text.
 
 Inheritance diagram:
 
 .. inheritance-diagram:: IPython.utils.text
    :parts: 3
 """
 
 import os
 import re
 import string
 import sys
 import textwrap
 import warnings
 from string import Formatter
 from pathlib import Path
 
 from typing import List, Union, Optional, Dict, Tuple
 
 
 class LSString(str):
     """String derivative with a special access attributes.
 
     These are normal strings, but with the special attributes:
 
         .l (or .list) : value as list (split on newlines).
         .n (or .nlstr): original value (the string itself).
         .s (or .spstr): value as whitespace-separated string.
         .p (or .paths): list of path objects (requires path.py package)
 
     Any values which require transformations are computed only once and
     cached.
 
     Such strings are very useful to efficiently interact with the shell, which
     typically only understands whitespace-separated options for commands."""
 
     def get_list(self):
         try:
             return self.__list
         except AttributeError:
             self.__list = self.split('\n')
             return self.__list
 
     l = list = property(get_list)
 
     def get_spstr(self):
         try:
             return self.__spstr
         except AttributeError:
             self.__spstr = self.replace('\n',' ')
             return self.__spstr
 
     s = spstr = property(get_spstr)
 
     def get_nlstr(self):
         return self
 
     n = nlstr = property(get_nlstr)
 
     def get_paths(self):
         try:
             return self.__paths
         except AttributeError:
             self.__paths = [Path(p) for p in self.split('\n') if os.path.exists(p)]
             return self.__paths
 
     p = paths = property(get_paths)
 
 # FIXME: We need to reimplement type specific displayhook and then add this
 # back as a custom printer. This should also be moved outside utils into the
 # core.
 
 # def print_lsstring(arg):
 #     """ Prettier (non-repr-like) and more informative printer for LSString """
 #     print "LSString (.p, .n, .l, .s available). Value:"
 #     print arg
 #
 #
 # print_lsstring = result_display.register(LSString)(print_lsstring)
 
 
 class SList(list):
     """List derivative with a special access attributes.
 
     These are normal lists, but with the special attributes:
 
     * .l (or .list) : value as list (the list itself).
     * .n (or .nlstr): value as a string, joined on newlines.
     * .s (or .spstr): value as a string, joined on spaces.
     * .p (or .paths): list of path objects (requires path.py package)
 
     Any values which require transformations are computed only once and
     cached."""
 
     def get_list(self):
         return self
 
     l = list = property(get_list)
 
     def get_spstr(self):
         try:
             return self.__spstr
         except AttributeError:
             self.__spstr = ' '.join(self)
             return self.__spstr
 
     s = spstr = property(get_spstr)
 
     def get_nlstr(self):
         try:
             return self.__nlstr
         except AttributeError:
             self.__nlstr = '\n'.join(self)
             return self.__nlstr
 
     n = nlstr = property(get_nlstr)
 
     def get_paths(self):
         try:
             return self.__paths
         except AttributeError:
             self.__paths = [Path(p) for p in self if os.path.exists(p)]
             return self.__paths
 
     p = paths = property(get_paths)
 
     def grep(self, pattern, prune = False, field = None):
         """ Return all strings matching 'pattern' (a regex or callable)
 
         This is case-insensitive. If prune is true, return all items
         NOT matching the pattern.
 
         If field is specified, the match must occur in the specified
         whitespace-separated field.
 
         Examples::
 
             a.grep( lambda x: x.startswith('C') )
             a.grep('Cha.*log', prune=1)
             a.grep('chm', field=-1)
         """
 
         def match_target(s):
             if field is None:
                 return s
             parts = s.split()
             try:
                 tgt = parts[field]
                 return tgt
             except IndexError:
                 return ""
 
         if isinstance(pattern, str):
             pred = lambda x : re.search(pattern, x, re.IGNORECASE)
         else:
             pred = pattern
         if not prune:
             return SList([el for el in self if pred(match_target(el))])
         else:
             return SList([el for el in self if not pred(match_target(el))])
 
     def fields(self, *fields):
         """ Collect whitespace-separated fields from string list
 
         Allows quick awk-like usage of string lists.
 
         Example data (in var a, created by 'a = !ls -l')::
 
             -rwxrwxrwx  1 ville None      18 Dec 14  2006 ChangeLog
             drwxrwxrwx+ 6 ville None       0 Oct 24 18:05 IPython
 
         * ``a.fields(0)`` is ``['-rwxrwxrwx', 'drwxrwxrwx+']``
         * ``a.fields(1,0)`` is ``['1 -rwxrwxrwx', '6 drwxrwxrwx+']``
           (note the joining by space).
         * ``a.fields(-1)`` is ``['ChangeLog', 'IPython']``
 
         IndexErrors are ignored.
 
         Without args, fields() just split()'s the strings.
         """
         if len(fields) == 0:
             return [el.split() for el in self]
 
         res = SList()
         for el in [f.split() for f in self]:
             lineparts = []
 
             for fd in fields:
                 try:
                     lineparts.append(el[fd])
                 except IndexError:
                     pass
             if lineparts:
                 res.append(" ".join(lineparts))
 
         return res
 
     def sort(self,field= None,  nums = False):
         """ sort by specified fields (see fields())
 
         Example::
 
             a.sort(1, nums = True)
 
         Sorts a by second field, in numerical order (so that 21 > 3)
 
         """
 
         #decorate, sort, undecorate
         if field is not None:
             dsu = [[SList([line]).fields(field),  line] for line in self]
         else:
             dsu = [[line,  line] for line in self]
         if nums:
             for i in range(len(dsu)):
                 numstr = "".join([ch for ch in dsu[i][0] if ch.isdigit()])
                 try:
                     n = int(numstr)
                 except ValueError:
                     n = 0
                 dsu[i][0] = n
 
 
         dsu.sort()
         return SList([t[1] for t in dsu])
 
 
 # FIXME: We need to reimplement type specific displayhook and then add this
 # back as a custom printer. This should also be moved outside utils into the
 # core.
 
 # def print_slist(arg):
 #     """ Prettier (non-repr-like) and more informative printer for SList """
 #     print "SList (.p, .n, .l, .s, .grep(), .fields(), sort() available):"
 #     if hasattr(arg,  'hideonce') and arg.hideonce:
 #         arg.hideonce = False
 #         return
 #
 #     nlprint(arg)   # This was a nested list printer, now removed.
 #
 # print_slist = result_display.register(SList)(print_slist)
 
 
 def indent(instr,nspaces=4, ntabs=0, flatten=False):
     """Indent a string a given number of spaces or tabstops.
 
     indent(str,nspaces=4,ntabs=0) -> indent str by ntabs+nspaces.
 
     Parameters
     ----------
     instr : basestring
         The string to be indented.
     nspaces : int (default: 4)
         The number of spaces to be indented.
     ntabs : int (default: 0)
         The number of tabs to be indented.
     flatten : bool (default: False)
         Whether to scrub existing indentation.  If True, all lines will be
         aligned to the same indentation.  If False, existing indentation will
         be strictly increased.
 
     Returns
     -------
     str|unicode : string indented by ntabs and nspaces.
 
     """
     if instr is None:
         return
     ind = '\t'*ntabs+' '*nspaces
     if flatten:
         pat = re.compile(r'^\s*', re.MULTILINE)
     else:
         pat = re.compile(r'^', re.MULTILINE)
     outstr = re.sub(pat, ind, instr)
     if outstr.endswith(os.linesep+ind):
         return outstr[:-len(ind)]
     else:
         return outstr
 
 
 def list_strings(arg):
     """Always return a list of strings, given a string or list of strings
     as input.
 
     Examples
     --------
     ::
 
         In [7]: list_strings('A single string')
         Out[7]: ['A single string']
 
         In [8]: list_strings(['A single string in a list'])
         Out[8]: ['A single string in a list']
 
         In [9]: list_strings(['A','list','of','strings'])
         Out[9]: ['A', 'list', 'of', 'strings']
     """
 
     if isinstance(arg, str):
         return [arg]
     else:
         return arg
 
 
 def marquee(txt='',width=78,mark='*'):
     """Return the input string centered in a 'marquee'.
 
     Examples
     --------
     ::
 
         In [16]: marquee('A test',40)
         Out[16]: '**************** A test ****************'
 
         In [17]: marquee('A test',40,'-')
         Out[17]: '---------------- A test ----------------'
 
         In [18]: marquee('A test',40,' ')
         Out[18]: '                 A test                 '
 
     """
     if not txt:
         return (mark*width)[:width]
     nmark = (width-len(txt)-2)//len(mark)//2
     if nmark < 0: nmark =0
     marks = mark*nmark
     return '%s %s %s' % (marks,txt,marks)
 
 
 ini_spaces_re = re.compile(r'^(\s+)')
 
 def num_ini_spaces(strng):
     """Return the number of initial spaces in a string"""
     warnings.warn(
         "`num_ini_spaces` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
     ini_spaces = ini_spaces_re.match(strng)
     if ini_spaces:
         return ini_spaces.end()
     else:
         return 0
 
 
 def format_screen(strng):
     """Format a string for screen printing.
 
     This removes some latex-type format codes."""
     # Paragraph continue
     par_re = re.compile(r'\\$',re.MULTILINE)
     strng = par_re.sub('',strng)
     return strng
 
 
 def dedent(text):
     """Equivalent of textwrap.dedent that ignores unindented first line.
 
     This means it will still dedent strings like:
     '''foo
     is a bar
     '''
 
     For use in wrap_paragraphs.
     """
 
     if text.startswith('\n'):
         # text starts with blank line, don't ignore the first line
         return textwrap.dedent(text)
 
     # split first line
     splits = text.split('\n',1)
     if len(splits) == 1:
         # only one line
         return textwrap.dedent(text)
 
     first, rest = splits
     # dedent everything but the first line
     rest = textwrap.dedent(rest)
     return '\n'.join([first, rest])
 
 
 def wrap_paragraphs(text, ncols=80):
     """Wrap multiple paragraphs to fit a specified width.
 
     This is equivalent to textwrap.wrap, but with support for multiple
     paragraphs, as separated by empty lines.
 
     Returns
     -------
     list of complete paragraphs, wrapped to fill `ncols` columns.
     """
     warnings.warn(
         "`wrap_paragraphs` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
     paragraph_re = re.compile(r'\n(\s*\n)+', re.MULTILINE)
     text = dedent(text).strip()
     paragraphs = paragraph_re.split(text)[::2] # every other entry is space
     out_ps = []
     indent_re = re.compile(r'\n\s+', re.MULTILINE)
     for p in paragraphs:
         # presume indentation that survives dedent is meaningful formatting,
         # so don't fill unless text is flush.
         if indent_re.search(p) is None:
             # wrap paragraph
             p = textwrap.fill(p, ncols)
         out_ps.append(p)
     return out_ps
 
 
 def strip_email_quotes(text):
     """Strip leading email quotation characters ('>').
 
     Removes any combination of leading '>' interspersed with whitespace that
     appears *identically* in all lines of the input text.
 
     Parameters
     ----------
     text : str
 
     Examples
     --------
 
     Simple uses::
 
         In [2]: strip_email_quotes('> > text')
         Out[2]: 'text'
 
         In [3]: strip_email_quotes('> > text\\n> > more')
         Out[3]: 'text\\nmore'
 
     Note how only the common prefix that appears in all lines is stripped::
 
         In [4]: strip_email_quotes('> > text\\n> > more\\n> more...')
         Out[4]: '> text\\n> more\\nmore...'
 
     So if any line has no quote marks ('>'), then none are stripped from any
     of them ::
 
         In [5]: strip_email_quotes('> > text\\n> > more\\nlast different')
         Out[5]: '> > text\\n> > more\\nlast different'
     """
     lines = text.splitlines()
     strip_len = 0
 
     for characters in zip(*lines):
         # Check if all characters in this position are the same
         if len(set(characters)) > 1:
             break
         prefix_char = characters[0]
 
         if prefix_char in string.whitespace or prefix_char == ">":
             strip_len += 1
         else:
             break
 
     text = "\n".join([ln[strip_len:] for ln in lines])
     return text
 
 
 def strip_ansi(source):
     """
     Remove ansi escape codes from text.
 
     Parameters
     ----------
     source : str
         Source to remove the ansi from
     """
     warnings.warn(
         "`strip_ansi` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
 
     return re.sub(r'\033\[(\d|;)+?m', '', source)
 
 
 class EvalFormatter(Formatter):
     """A String Formatter that allows evaluation of simple expressions.
 
     Note that this version interprets a `:`  as specifying a format string (as per
     standard string formatting), so if slicing is required, you must explicitly
     create a slice.
 
     This is to be used in templating cases, such as the parallel batch
     script templates, where simple arithmetic on arguments is useful.
 
     Examples
     --------
     ::
 
         In [1]: f = EvalFormatter()
         In [2]: f.format('{n//4}', n=8)
         Out[2]: '2'
 
         In [3]: f.format("{greeting[slice(2,4)]}", greeting="Hello")
         Out[3]: 'll'
     """
     def get_field(self, name, args, kwargs):
         v = eval(name, kwargs)
         return v, name
 
 #XXX: As of Python 3.4, the format string parsing no longer splits on a colon
 # inside [], so EvalFormatter can handle slicing. Once we only support 3.4 and
 # above, it should be possible to remove FullEvalFormatter.
 
 class FullEvalFormatter(Formatter):
     """A String Formatter that allows evaluation of simple expressions.
     
     Any time a format key is not found in the kwargs,
     it will be tried as an expression in the kwargs namespace.
     
     Note that this version allows slicing using [1:2], so you cannot specify
     a format string. Use :class:`EvalFormatter` to permit format strings.
     
     Examples
     --------
     ::
 
         In [1]: f = FullEvalFormatter()
         In [2]: f.format('{n//4}', n=8)
         Out[2]: '2'
 
         In [3]: f.format('{list(range(5))[2:4]}')
         Out[3]: '[2, 3]'
 
         In [4]: f.format('{3*2}')
         Out[4]: '6'
     """
     # copied from Formatter._vformat with minor changes to allow eval
     # and replace the format_spec code with slicing
     def vformat(self, format_string:str, args, kwargs)->str:
         result = []
         for literal_text, field_name, format_spec, conversion in \
                 self.parse(format_string):
 
             # output the literal text
             if literal_text:
                 result.append(literal_text)
 
             # if there's a field, output it
             if field_name is not None:
                 # this is some markup, find the object and do
                 # the formatting
 
                 if format_spec:
                     # override format spec, to allow slicing:
                     field_name = ':'.join([field_name, format_spec])
 
                 # eval the contents of the field for the object
                 # to be formatted
                 obj = eval(field_name, kwargs)
 
                 # do any conversion on the resulting object
                 obj = self.convert_field(obj, conversion)
 
                 # format the object and append to the result
                 result.append(self.format_field(obj, ''))
 
         return ''.join(result)
 
 
 class DollarFormatter(FullEvalFormatter):
     """Formatter allowing Itpl style $foo replacement, for names and attribute
     access only. Standard {foo} replacement also works, and allows full
     evaluation of its arguments.
 
     Examples
     --------
     ::
 
         In [1]: f = DollarFormatter()
         In [2]: f.format('{n//4}', n=8)
         Out[2]: '2'
 
         In [3]: f.format('23 * 76 is $result', result=23*76)
         Out[3]: '23 * 76 is 1748'
 
         In [4]: f.format('$a or {b}', a=1, b=2)
         Out[4]: '1 or 2'
     """
     _dollar_pattern_ignore_single_quote = re.compile(r"(.*?)\$(\$?[\w\.]+)(?=([^']*'[^']*')*[^']*$)")
     def parse(self, fmt_string):
         for literal_txt, field_name, format_spec, conversion \
                     in Formatter.parse(self, fmt_string):
             
             # Find $foo patterns in the literal text.
             continue_from = 0
             txt = ""
             for m in self._dollar_pattern_ignore_single_quote.finditer(literal_txt):
                 new_txt, new_field = m.group(1,2)
                 # $$foo --> $foo
                 if new_field.startswith("$"):
                     txt += new_txt + new_field
                 else:
                     yield (txt + new_txt, new_field, "", None)
                     txt = ""
                 continue_from = m.end()
             
             # Re-yield the {foo} style pattern
             yield (txt + literal_txt[continue_from:], field_name, format_spec, conversion)
 
     def __repr__(self):
         return "<DollarFormatter>"
 
 #-----------------------------------------------------------------------------
 # Utils to columnize a list of string
 #-----------------------------------------------------------------------------
 
 def _col_chunks(l, max_rows, row_first=False):
     """Yield successive max_rows-sized column chunks from l."""
     if row_first:
         ncols = (len(l) // max_rows) + (len(l) % max_rows > 0)
         for i in range(ncols):
             yield [l[j] for j in range(i, len(l), ncols)]
     else:
         for i in range(0, len(l), max_rows):
             yield l[i:(i + max_rows)]
 
 
-def _find_optimal(rlist, row_first:bool, separator_size:int, displaywidth:int):
+def _find_optimal(rlist, row_first: bool, separator_size: int, displaywidth: int):
     """Calculate optimal info to columnize a list of string"""
     for max_rows in range(1, len(rlist) + 1):
         col_widths = list(map(max, _col_chunks(rlist, max_rows, row_first)))
         sumlength = sum(col_widths)
         ncols = len(col_widths)
         if sumlength + separator_size * (ncols - 1) <= displaywidth:
             break
     return {'num_columns': ncols,
             'optimal_separator_width': (displaywidth - sumlength) // (ncols - 1) if (ncols - 1) else 0,
             'max_rows': max_rows,
             'column_widths': col_widths
             }
 
 
 def _get_or_default(mylist, i, default=None):
     """return list item number, or default if don't exist"""
     if i >= len(mylist):
         return default
     else :
         return mylist[i]
 
 
-def compute_item_matrix(items, row_first:bool=False, empty=None,*,  separator_size=2, displaywidth=80) -> Tuple[List[List[int]], Dict[str, int]] :
+def compute_item_matrix(
+    items, row_first: bool = False, empty=None, *, separator_size=2, displaywidth=80
+) -> Tuple[List[List[int]], Dict[str, int]]:
     """Returns a nested list, and info to columnize items
 
     Parameters
     ----------
     items
         list of strings to columize
     row_first : (default False)
         Whether to compute columns for a row-first matrix instead of
         column-first (default).
     empty : (default None)
         default value to fill list if needed
     separator_size : int (default=2)
         How much characters will be used as a separation between each columns.
     displaywidth : int (default=80)
         The width of the area onto which the columns should enter
 
     Returns
     -------
     strings_matrix
         nested list of string, the outer most list contains as many list as
         rows, the innermost lists have each as many element as columns. If the
         total number of elements in `items` does not equal the product of
         rows*columns, the last element of some lists are filled with `None`.
     dict_info
         some info to make columnize easier:
 
         num_columns
           number of columns
         max_rows
           maximum number of rows (final number may be less)
         column_widths
           list of with of each columns
         optimal_separator_width
           best separator width between columns
 
     Examples
     --------
     ::
 
         In [1]: l = ['aaa','b','cc','d','eeeee','f','g','h','i','j','k','l']
         In [2]: list, info = compute_item_matrix(l, displaywidth=12)
         In [3]: list
         Out[3]: [['aaa', 'f', 'k'], ['b', 'g', 'l'], ['cc', 'h', None], ['d', 'i', None], ['eeeee', 'j', None]]
         In [4]: ideal = {'num_columns': 3, 'column_widths': [5, 1, 1], 'optimal_separator_width': 2, 'max_rows': 5}
         In [5]: all((info[k] == ideal[k] for k in ideal.keys()))
         Out[5]: True
     """
     warnings.warn(
         "`compute_item_matrix` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
-    info = _find_optimal(list(map(len, items)), row_first, separator_size=separator_size, displaywidth=displaywidth)
-    nrow, ncol = info['max_rows'], info['num_columns']
+    info = _find_optimal(
+        list(map(len, items)),
+        row_first,
+        separator_size=separator_size,
+        displaywidth=displaywidth,
+    )
+    nrow, ncol = info["max_rows"], info["num_columns"]
     if row_first:
         return ([[_get_or_default(items, r * ncol + c, default=empty) for c in range(ncol)] for r in range(nrow)], info)
     else:
         return ([[_get_or_default(items, c * nrow + r, default=empty) for c in range(ncol)] for r in range(nrow)], info)
 
 
 def columnize(items, row_first=False, separator="  ", displaywidth=80, spread=False):
     """Transform a list of strings into a single string with columns.
 
     Parameters
     ----------
     items : sequence of strings
         The strings to process.
     row_first : (default False)
         Whether to compute columns for a row-first matrix instead of
         column-first (default).
     separator : str, optional [default is two spaces]
         The string that separates columns.
     displaywidth : int, optional [default is 80]
         Width of the display in number of characters.
 
     Returns
     -------
     The formatted string.
     """
     warnings.warn(
         "`columnize` is Pending Deprecation since IPython 8.17."
         "It is considered fro removal in in future version. "
         "Please open an issue if you believe it should be kept.",
         stacklevel=2,
         category=PendingDeprecationWarning,
     )
     if not items:
-        return '\n'
-    matrix:List[List[int]]
-    matrix, info = compute_item_matrix(items, row_first=row_first, separator_size=len(separator), displaywidth=displaywidth)
+        return "\n"
+    matrix: List[List[int]]
+    matrix, info = compute_item_matrix(
+        items,
+        row_first=row_first,
+        separator_size=len(separator),
+        displaywidth=displaywidth,
+    )
     if spread:
-        separator = separator.ljust(int(info['optimal_separator_width']))
-    fmatrix:List[filter[int]] = [filter(None, x) for x in matrix]
-    sjoin = lambda x : separator.join([ y.ljust(w, ' ') for y, w in zip(x, info['column_widths'])])
-    return '\n'.join(map(sjoin, fmatrix))+'\n'
+        separator = separator.ljust(int(info["optimal_separator_width"]))
+    fmatrix: List[filter[int]] = [filter(None, x) for x in matrix]
+    sjoin = lambda x: separator.join(
+        [y.ljust(w, " ") for y, w in zip(x, info["column_widths"])]
+    )
+    return "\n".join(map(sjoin, fmatrix)) + "\n"
 
 
 def get_text_list(list_, last_sep=' and ', sep=", ", wrap_item_with=""):
     """
     Return a string with a natural enumeration of items
 
     >>> get_text_list(['a', 'b', 'c', 'd'])
     'a, b, c and d'
     >>> get_text_list(['a', 'b', 'c'], ' or ')
     'a, b or c'
     >>> get_text_list(['a', 'b', 'c'], ', ')
     'a, b, c'
     >>> get_text_list(['a', 'b'], ' or ')
     'a or b'
     >>> get_text_list(['a'])
     'a'
     >>> get_text_list([])
     ''
     >>> get_text_list(['a', 'b'], wrap_item_with="`")
     '`a` and `b`'
     >>> get_text_list(['a', 'b', 'c', 'd'], " = ", sep=" + ")
     'a + b + c = d'
     """
     if len(list_) == 0:
         return ''
     if wrap_item_with:
         list_ = ['%s%s%s' % (wrap_item_with, item, wrap_item_with) for
                  item in list_]
     if len(list_) == 1:
         return list_[0]
     return '%s%s%s' % (
         sep.join(i for i in list_[:-1]),
         last_sep, list_[-1])

IPython/utils/timing.py

@@ -1,123 +1,123 b''
 # encoding: utf-8
 """
 Utilities for timing code execution.
 """
 
 #-----------------------------------------------------------------------------
 #  Copyright (C) 2008-2011  The IPython Development Team
 #
 #  Distributed under the terms of the BSD License.  The full license is in
 #  the file COPYING, distributed as part of this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 import time
 
 #-----------------------------------------------------------------------------
 # Code
 #-----------------------------------------------------------------------------
 
 # If possible (Unix), use the resource module instead of time.clock()
 try:
     import resource
 except ModuleNotFoundError:
-    resource = None #type: ignore [assignment]
+    resource = None  # type: ignore [assignment]
 
 # Some implementations (like jyputerlite) don't have getrusage
 if resource is not None and hasattr(resource, "getrusage"):
     def clocku():
         """clocku() -> floating point number
 
         Return the *USER* CPU time in seconds since the start of the process.
         This is done via a call to resource.getrusage, so it avoids the
         wraparound problems in time.clock()."""
 
         return resource.getrusage(resource.RUSAGE_SELF)[0]
 
     def clocks():
         """clocks() -> floating point number
 
         Return the *SYSTEM* CPU time in seconds since the start of the process.
         This is done via a call to resource.getrusage, so it avoids the
         wraparound problems in time.clock()."""
 
         return resource.getrusage(resource.RUSAGE_SELF)[1]
 
     def clock():
         """clock() -> floating point number
 
         Return the *TOTAL USER+SYSTEM* CPU time in seconds since the start of
         the process.  This is done via a call to resource.getrusage, so it
         avoids the wraparound problems in time.clock()."""
 
         u,s = resource.getrusage(resource.RUSAGE_SELF)[:2]
         return u+s
 
     def clock2():
         """clock2() -> (t_user,t_system)
 
         Similar to clock(), but return a tuple of user/system times."""
         return resource.getrusage(resource.RUSAGE_SELF)[:2]
 
 else:
     # There is no distinction of user/system time under windows, so we just use
     # time.process_time() for everything...
     clocku = clocks = clock = time.process_time
 
     def clock2():
         """Under windows, system CPU time can't be measured.
 
         This just returns process_time() and zero."""
         return time.process_time(), 0.0
 
     
 def timings_out(reps,func,*args,**kw):
     """timings_out(reps,func,*args,**kw) -> (t_total,t_per_call,output)
 
     Execute a function reps times, return a tuple with the elapsed total
     CPU time in seconds, the time per call and the function's output.
 
     Under Unix, the return value is the sum of user+system time consumed by
     the process, computed via the resource module.  This prevents problems
     related to the wraparound effect which the time.clock() function has.
 
     Under Windows the return value is in wall clock seconds. See the
     documentation for the time module for more details."""
 
     reps = int(reps)
     assert reps >=1, 'reps must be >= 1'
     if reps==1:
         start = clock()
         out = func(*args,**kw)
         tot_time = clock()-start
     else:
         rng = range(reps-1) # the last time is executed separately to store output
         start = clock()
         for dummy in rng: func(*args,**kw)
         out = func(*args,**kw)  # one last time
         tot_time = clock()-start
     av_time = tot_time / reps
     return tot_time,av_time,out
 
 
 def timings(reps,func,*args,**kw):
     """timings(reps,func,*args,**kw) -> (t_total,t_per_call)
 
     Execute a function reps times, return a tuple with the elapsed total CPU
     time in seconds and the time per call. These are just the first two values
     in timings_out()."""
 
     return timings_out(reps,func,*args,**kw)[0:2]
 
 
 def timing(func,*args,**kw):
     """timing(func,*args,**kw) -> t_total
 
     Execute a function once, return the elapsed total CPU time in
     seconds. This is just the first value in timings_out()."""
 
     return timings_out(1,func,*args,**kw)[0]
 

IPython/utils/tokenutil.py

@@ -1,157 +1,160 b''
 """Token-related utilities"""
 
 # Copyright (c) IPython Development Team.
 # Distributed under the terms of the Modified BSD License.
 
 from collections import namedtuple
 from io import StringIO
 from keyword import iskeyword
 
 import tokenize
 from tokenize import TokenInfo
 from typing import List, Optional
 
 
 Token = namedtuple('Token', ['token', 'text', 'start', 'end', 'line'])
 
 def generate_tokens(readline):
     """wrap generate_tkens to catch EOF errors"""
     try:
         for token in tokenize.generate_tokens(readline):
             yield token
     except tokenize.TokenError:
         # catch EOF error
         return
 
 
-def generate_tokens_catch_errors(readline, extra_errors_to_catch:Optional[List[str]]=None):
+def generate_tokens_catch_errors(
+    readline, extra_errors_to_catch: Optional[List[str]] = None
+):
     default_errors_to_catch = [
         "unterminated string literal",
         "invalid non-printable character",
         "after line continuation character",
     ]
     assert extra_errors_to_catch is None or isinstance(extra_errors_to_catch, list)
     errors_to_catch = default_errors_to_catch + (extra_errors_to_catch or [])
 
-    tokens:List[TokenInfo] = []
+    tokens: List[TokenInfo] = []
     try:
         for token in tokenize.generate_tokens(readline):
             tokens.append(token)
             yield token
     except tokenize.TokenError as exc:
         if any(error in exc.args[0] for error in errors_to_catch):
             if tokens:
                 start = tokens[-1].start[0], tokens[-1].end[0]
                 end = start
                 line = tokens[-1].line
             else:
                 start = end = (1, 0)
                 line = ""
             yield tokenize.TokenInfo(tokenize.ERRORTOKEN, "", start, end, line)
         else:
             # Catch EOF
             raise
 
 
 def line_at_cursor(cell, cursor_pos=0):
     """Return the line in a cell at a given cursor position
 
     Used for calling line-based APIs that don't support multi-line input, yet.
 
     Parameters
     ----------
     cell : str
         multiline block of text
     cursor_pos : integer
         the cursor position
 
     Returns
     -------
     (line, offset): (string, integer)
         The line with the current cursor, and the character offset of the start of the line.
     """
     offset = 0
     lines = cell.splitlines(True)
     for line in lines:
         next_offset = offset + len(line)
         if not line.endswith('\n'):
             # If the last line doesn't have a trailing newline, treat it as if
             # it does so that the cursor at the end of the line still counts
             # as being on that line.
             next_offset += 1
         if next_offset > cursor_pos:
             break
         offset = next_offset
     else:
         line = ""
     return (line, offset)
 
-def token_at_cursor(cell:str, cursor_pos:int=0):
+
+def token_at_cursor(cell: str, cursor_pos: int = 0):
     """Get the token at a given cursor
 
     Used for introspection.
 
     Function calls are prioritized, so the token for the callable will be returned
     if the cursor is anywhere inside the call.
 
     Parameters
     ----------
     cell : str
         A block of Python code
     cursor_pos : int
         The location of the cursor in the block where the token should be found
     """
-    names:List[str] = []
-    tokens:List[Token] = []
+    names: List[str] = []
+    tokens: List[Token] = []
     call_names = []
     
     offsets = {1: 0} # lines start at 1
     for tup in generate_tokens(StringIO(cell).readline):
         
         tok = Token(*tup)
         
         # token, text, start, end, line = tup
         start_line, start_col = tok.start
         end_line, end_col = tok.end
         if end_line + 1 not in offsets:
             # keep track of offsets for each line
             lines = tok.line.splitlines(True)
             for lineno, line in enumerate(lines, start_line + 1):
                 if lineno not in offsets:
                     offsets[lineno] = offsets[lineno-1] + len(line)
         
         offset = offsets[start_line]
         # allow '|foo' to find 'foo' at the beginning of a line
         boundary = cursor_pos + 1 if start_col == 0 else cursor_pos
         if offset + start_col >= boundary:
             # current token starts after the cursor,
             # don't consume it
             break
         
         if tok.token == tokenize.NAME and not iskeyword(tok.text):
             if names and tokens and tokens[-1].token == tokenize.OP and tokens[-1].text == '.':
                 names[-1] = "%s.%s" % (names[-1], tok.text)
             else:
                 names.append(tok.text)
         elif tok.token == tokenize.OP:
             if tok.text == '=' and names:
                 # don't inspect the lhs of an assignment
                 names.pop(-1)
             if tok.text == '(' and names:
                 # if we are inside a function call, inspect the function
                 call_names.append(names[-1])
             elif tok.text == ')' and call_names:
                 call_names.pop(-1)
         
         tokens.append(tok)
         
         if offsets[end_line] + end_col > cursor_pos:
             # we found the cursor, stop reading
             break
         
     if call_names:
         return call_names[-1]
     elif names:
         return names[-1]
     else:
         return ''