e424d75c42
Previously we'd show a Python traceback if the user asked for a detailed diagnostic in a file that wasn't supported by Clang (something written in Python perhaps). Now we show an nice, far less scary message informing the user of this. Fixes #748.
291 lines
10 KiB
Python
291 lines
10 KiB
Python
#!/usr/bin/env python
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#
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# Copyright (C) 2011, 2012, 2013 Strahinja Val Markovic <val@markovic.io>
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#
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# This file is part of YouCompleteMe.
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#
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# YouCompleteMe is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# YouCompleteMe is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with YouCompleteMe. If not, see <http://www.gnu.org/licenses/>.
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import abc
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from collections import defaultdict
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from ycm.utils import ToUtf8IfNeeded, ForceSemanticCompletion, RunningInsideVim
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if RunningInsideVim():
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from ycm_client_support import FilterAndSortCandidates
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else:
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from ycm_core import FilterAndSortCandidates
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from ycm.completers.completer_utils import TriggersForFiletype
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from ycm.server.responses import NoDiagnosticSupport
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NO_USER_COMMANDS = 'This completer does not define any commands.'
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class Completer( object ):
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"""A base class for all Completers in YCM.
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Here's several important things you need to know if you're writing a custom
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Completer. The following are functions that the Vim part of YCM will be
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calling on your Completer:
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ShouldUseNow() is called with the start column of where a potential completion
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string should start and the current line (string) the cursor is on. For
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instance, if the user's input is 'foo.bar' and the cursor is on the 'r' in
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'bar', start_column will be the 0-based index of 'b' in the line. Your
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implementation of ShouldUseNow() should return True if your semantic completer
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should be used and False otherwise.
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This is important to get right. You want to return False if you can't provide
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completions because then the identifier completer will kick in, and that's
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better than nothing.
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Note that it's HIGHLY likely that you want to override the ShouldUseNowInner()
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function instead of ShouldUseNow() directly (although chances are that you
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probably won't have any need to override either). ShouldUseNow() will call
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your *Inner version of the function and will also make sure that the
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completion cache is taken into account. You'll see this pattern repeated
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throughout the Completer API; YCM calls the "main" version of the function and
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that function calls the *Inner version while taking into account the cache.
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The cache is important and is a nice performance boost. When the user types in
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"foo.", your completer will return a list of all member functions and
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variables that can be accessed on the "foo" object. The Completer API caches
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this list. The user will then continue typing, let's say "foo.ba". On every
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keystroke after the dot, the Completer API will take the cache into account
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and will NOT re-query your completer but will in fact provide fuzzy-search on
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the candidate strings that were stored in the cache.
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ComputeCandidates() is the main entry point when the user types. For
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"foo.bar", the user query is "bar" and completions matching this string should
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be shown. It should return the list of candidates. The format of the result
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can be a list of strings or a more complicated list of dictionaries. Use
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ycm.server.responses.BuildCompletionData to build the detailed response. See
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clang_completer.py to see how its used in practice.
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Again, you probably want to override ComputeCandidatesInner().
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You also need to implement the SupportedFiletypes() function which should
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return a list of strings, where the strings are Vim filetypes your completer
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supports.
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clang_completer.py is a good example of a "complicated" completer. A good
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example of a simple completer is ultisnips_completer.py.
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The On* functions are provided for your convenience. They are called when
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their specific events occur. For instance, the identifier completer collects
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all the identifiers in the file in OnFileReadyToParse() which gets called when
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the user stops typing for 2 seconds (Vim's CursorHold and CursorHoldI events).
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One special function is OnUserCommand. It is called when the user uses the
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command :YcmCompleter and is passed all extra arguments used on command
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invocation (e.g. OnUserCommand(['first argument', 'second'])). This can be
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used for completer-specific commands such as reloading external configuration.
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When the command is called with no arguments you should print a short summary
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of the supported commands or point the user to the help section where this
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information can be found.
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Override the Shutdown() member function if your Completer subclass needs to do
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custom cleanup logic on server shutdown."""
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__metaclass__ = abc.ABCMeta
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def __init__( self, user_options ):
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self.user_options = user_options
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self.min_num_chars = user_options[ 'min_num_of_chars_for_completion' ]
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self.triggers_for_filetype = (
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TriggersForFiletype( user_options[ 'semantic_triggers' ] )
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if user_options[ 'auto_trigger' ] else defaultdict( set ) )
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self.completions_future = None
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self._completions_cache = None
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def ShouldUseNow( self, request_data ):
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inner_says_yes = self.ShouldUseNowInner( request_data )
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if not inner_says_yes:
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self._completions_cache = None
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previous_results_were_empty = ( self._completions_cache and
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self._completions_cache.CacheValid(
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request_data[ 'line_num' ],
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request_data[ 'start_column' ] ) and
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not self._completions_cache.raw_completions )
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return inner_says_yes and not previous_results_were_empty
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def ShouldUseNowInner( self, request_data ):
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current_line = request_data[ 'line_value' ]
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start_column = request_data[ 'start_column' ]
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line_length = len( current_line )
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if not line_length or start_column - 1 >= line_length:
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return False
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filetype = self._CurrentFiletype( request_data[ 'filetypes' ] )
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triggers = self.triggers_for_filetype[ filetype ]
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for trigger in triggers:
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index = -1
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trigger_length = len( trigger )
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while True:
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line_index = start_column + index
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if line_index < 0 or current_line[ line_index ] != trigger[ index ]:
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break
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if abs( index ) == trigger_length:
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return True
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index -= 1
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return False
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def QueryLengthAboveMinThreshold( self, request_data ):
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query_length = request_data[ 'column_num' ] - request_data[ 'start_column' ]
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return query_length >= self.min_num_chars
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def ComputeCandidates( self, request_data ):
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if ( not ForceSemanticCompletion( request_data ) and
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not self.ShouldUseNow( request_data ) ):
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return []
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candidates = self._GetCandidatesFromSubclass( request_data )
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if request_data[ 'query' ]:
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candidates = self.FilterAndSortCandidates( candidates,
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request_data[ 'query' ] )
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return candidates
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def _GetCandidatesFromSubclass( self, request_data ):
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if ( self._completions_cache and
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self._completions_cache.CacheValid( request_data[ 'line_num' ],
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request_data[ 'start_column' ] ) ):
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return self._completions_cache.raw_completions
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else:
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self._completions_cache = CompletionsCache()
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self._completions_cache.raw_completions = self.ComputeCandidatesInner(
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request_data )
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self._completions_cache.line = request_data[ 'line_num' ]
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self._completions_cache.column = request_data[ 'start_column' ]
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return self._completions_cache.raw_completions
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def ComputeCandidatesInner( self, request_data ):
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pass
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def DefinedSubcommands( self ):
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return []
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def UserCommandsHelpMessage( self ):
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subcommands = self.DefinedSubcommands()
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if subcommands:
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return ( 'Supported commands are:\n' +
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'\n'.join( subcommands ) +
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'\nSee the docs for information on what they do.' )
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else:
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return 'This Completer has no supported subcommands.'
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def FilterAndSortCandidates( self, candidates, query ):
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if not candidates:
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return []
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# We need to handle both an omni_completer style completer and a server
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# style completer
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if 'words' in candidates:
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candidates = candidates[ 'words' ]
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sort_property = ''
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if 'word' in candidates[ 0 ]:
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sort_property = 'word'
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elif 'insertion_text' in candidates[ 0 ]:
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sort_property = 'insertion_text'
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matches = FilterAndSortCandidates( candidates,
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sort_property,
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ToUtf8IfNeeded( query ) )
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return matches
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def OnFileReadyToParse( self, request_data ):
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pass
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def OnBufferVisit( self, request_data ):
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pass
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def OnBufferUnload( self, request_data ):
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pass
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def OnInsertLeave( self, request_data ):
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pass
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def OnUserCommand( self, arguments, request_data ):
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raise NotImplementedError( NO_USER_COMMANDS )
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def OnCurrentIdentifierFinished( self, request_data ):
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pass
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def GetDiagnosticsForCurrentFile( self, request_data ):
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raise NoDiagnosticSupport
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def GetDetailedDiagnostic( self, request_data ):
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raise NoDiagnosticSupport
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def _CurrentFiletype( self, filetypes ):
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supported = self.SupportedFiletypes()
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for filetype in filetypes:
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if filetype in supported:
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return filetype
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return filetypes[0]
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@abc.abstractmethod
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def SupportedFiletypes( self ):
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pass
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def DebugInfo( self, request_data ):
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return ''
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def Shutdown( self ):
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pass
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class CompletionsCache( object ):
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def __init__( self ):
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self.line = -1
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self.column = -1
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self.raw_completions = []
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self.filtered_completions = []
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def CacheValid( self, current_line, start_column ):
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return current_line == self.line and start_column == self.column
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