def apply_transformation(self, cli, document, tokens):
if self._len_before or self._len_after:
tokens = explode_tokens(tokens)
pos_after = len(tokens) - self._len_after
text_before = ''.join(t[1] for t in tokens[:self._len_before])
text_after = ''.join(t[1] for t in tokens[pos_after:])
return Transformation(
document=document,
tokens=explode_tokens([(Token.History.ExistingInput, text_before)] +
tokens[self._len_before:pos_after] +
[(Token.History.ExistingInput, text_after)]))
else:
return Transformation(document, tokens)
def read_chunk(self):
" Read data from input. Return a list of token/text tuples. "
try:
return explode_tokens(next(self.generator))
except StopIteration:
self._eof = True
return []
def first_input_line(cli):
result = []
for token, char in reversed(explode_tokens(get_prompt_tokens(cli))):
if char == '\n':
break
else:
result.insert(0, (token, char))
return result
def first_input_line(cli):
result = []
for token, char in reversed(explode_tokens(get_prompt_tokens(cli))):
if char == '\n':
break
else:
result.insert(0, (token, char))
return result
def before(cli):
result = []
found_nl = False
for token, char in reversed(explode_tokens(get_prompt_tokens(cli))):
if char == '\n':
found_nl = True
elif found_nl:
result.insert(0, (token, char))
return result
def before(cli):
result = []
found_nl = False
for token, char in reversed(explode_tokens(get_prompt_tokens(cli))):
if char == '\n':
found_nl = True
elif found_nl:
result.insert(0, (token, char))
return result
def apply_transformation(self, cli, document, lineno, source_to_display, tokens):
if self.editor_buffer.report_errors:
for error in self.editor_buffer.report_errors:
if error.lineno == lineno:
tokens = explode_tokens(tokens)
for i in range(error.start_column, error.end_column):
if i < len(tokens):
tokens[i] = (Token.FlakesError, tokens[i][1])
return Transformation(tokens)
def read_chunk(self):
if self._read:
return []
else:
self._read = True
return explode_tokens([(Token, self.text)])