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