forked from VimPlug/jedi
Move comments in settings.py to docstring
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committed by
Danilo Bargen
parent
72869310c1
commit
9e17f552f1
@@ -25,6 +25,11 @@ API Return Classes
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.. automodule:: api_classes
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.. automodule:: api_classes
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:undoc-members:
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:undoc-members:
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Jedi setting interface
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~~~~~~~~~~~~~~~~~~~~~~
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.. automodule:: settings
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Examples
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Examples
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--------
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--------
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129
jedi/settings.py
129
jedi/settings.py
@@ -2,58 +2,84 @@
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# completion output settings
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# completion output settings
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# ----------------
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# ----------------
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# The completion is by default case insensitive.
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case_insensitive_completion = True
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case_insensitive_completion = True
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"""
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The completion is by default case insensitive.
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"""
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# Adds a dot after a module, because a module that is not accessed this way is
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# definitely not the normal case. However, in VIM this doesn't work, that's why
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# it isn't used at the moment.
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add_dot_after_module = False
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add_dot_after_module = False
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"""
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Adds a dot after a module, because a module that is not accessed this way is
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definitely not the normal case. However, in VIM this doesn't work, that's why
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it isn't used at the moment.
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"""
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# Adds an opening bracket after a function, because that's normal behaviour.
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# Removed it again, because in VIM that is not very practical.
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add_bracket_after_function = False
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add_bracket_after_function = False
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"""
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Adds an opening bracket after a function, because that's normal behaviour.
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Removed it again, because in VIM that is not very practical.
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"""
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# If set, completions with the same name don't appear in the output anymore,
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# but are in the `same_name_completions` attribute.
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no_completion_duplicates = True
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no_completion_duplicates = True
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"""
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If set, completions with the same name don't appear in the output anymore,
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but are in the `same_name_completions` attribute.
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"""
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# ----------------
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# ----------------
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# parser
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# parser
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# ----------------
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# ----------------
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# Use the fast parser. This means that reparsing is only being done if
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# something has been changed e.g. to a function. If this happens, only the
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# function is being reparsed.
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fast_parser = True
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fast_parser = True
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"""
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Use the fast parser. This means that reparsing is only being done if
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something has been changed e.g. to a function. If this happens, only the
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function is being reparsed.
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"""
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# This is just a debugging option. Always reparsing means that the fast parser
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# is basically useless. So don't use it.
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fast_parser_always_reparse = False
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fast_parser_always_reparse = False
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"""
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This is just a debugging option. Always reparsing means that the fast parser
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is basically useless. So don't use it.
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"""
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# Use the cache (full cache) to generate get_in_function_call's. This may fail
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# with multiline docstrings (likely) and other complicated changes (unlikely).
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# The goal is to move away from it by making the rest faster.
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use_get_in_function_call_cache = True
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use_get_in_function_call_cache = True
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"""
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Use the cache (full cache) to generate get_in_function_call's. This may fail
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with multiline docstrings (likely) and other complicated changes (unlikely).
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The goal is to move away from it by making the rest faster.
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"""
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# ----------------
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# ----------------
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# dynamic stuff
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# dynamic stuff
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# ----------------
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# ----------------
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# check for `append`, etc. on array instances like list()
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dynamic_arrays_instances = True
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dynamic_arrays_instances = True
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# check for `append`, etc. on arrays: [], {}, ()
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"""
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check for `append`, etc. on array instances like list()
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"""
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dynamic_array_additions = True
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dynamic_array_additions = True
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"""
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check for `append`, etc. on arrays: [], {}, ()
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"""
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# A dynamic param completion, finds the callees of the function, which define
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# the params of a function.
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dynamic_params = True
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dynamic_params = True
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# Do the same for other modules.
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"""
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dynamic_params_for_other_modules = True
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A dynamic param completion, finds the callees of the function, which define
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the params of a function.
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"""
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dynamic_params_for_other_modules = True
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"""
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Do the same for other modules.
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"""
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# Additional modules in which Jedi checks if statements are to be found. This
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# is practical for IDE's, that want to administrate their modules themselves.
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additional_dynamic_modules = []
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additional_dynamic_modules = []
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"""
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Additional modules in which Jedi checks if statements are to be found. This
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is practical for IDE's, that want to administrate their modules themselves.
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"""
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# ----------------
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# ----------------
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# recursions
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# recursions
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@@ -64,49 +90,62 @@ additional_dynamic_modules = []
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# `max_executions`. This limit is important, to set a maximum amount of time,
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# `max_executions`. This limit is important, to set a maximum amount of time,
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# the completion may use.
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# the completion may use.
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#
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#
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# The `max_until_execution_unique` limit is probably the most important one,
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# because if that limit is passed, functions can only be one time executed. So
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# new functions will be executed, complex recursions with the same functions
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# again and again, are ignored.
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#
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# `max_function_recursion_level` is more about whether the recursions are
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# stopped in deepth or in width. The ratio beetween this and
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# `max_until_execution_unique` is important here. It stops a recursion (after
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# the number of function calls in the recursion), if it was already used
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# earlier.
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#
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# The values are based on my experimental tries, used on the jedi library. But
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# The values are based on my experimental tries, used on the jedi library. But
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# I don't think there's any other Python library, that uses recursion in a
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# I don't think there's any other Python library, that uses recursion in a
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# similar (extreme) way. This makes the completion definitely worse in some
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# similar (extreme) way. This makes the completion definitely worse in some
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# cases. But a completion should also be fast.
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# cases. But a completion should also be fast.
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max_function_recursion_level = 5
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max_until_execution_unique = 50
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max_until_execution_unique = 50
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"""
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The `max_until_execution_unique` limit is probably the most important one,
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because if that limit is passed, functions can only be one time executed. So
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new functions will be executed, complex recursions with the same functions
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again and again, are ignored.
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"""
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max_function_recursion_level = 5
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"""
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`max_function_recursion_level` is more about whether the recursions are
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stopped in deepth or in width. The ratio beetween this and
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`max_until_execution_unique` is important here. It stops a recursion (after
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the number of function calls in the recursion), if it was already used
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earlier.
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"""
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max_executions_without_builtins = 200
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max_executions_without_builtins = 200
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max_executions = 250
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max_executions = 250
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# Because get_in_function_call is normally used on every single key hit, it has
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# to be faster than a normal completion. This is the factor that is used to
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# scale `max_executions` and `max_until_execution_unique`:
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scale_get_in_function_call = 0.1
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scale_get_in_function_call = 0.1
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"""
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Because get_in_function_call is normally used on every single key hit, it has
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to be faster than a normal completion. This is the factor that is used to
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scale `max_executions` and `max_until_execution_unique`:
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"""
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# ----------------
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# ----------------
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# various
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# various
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# ----------------
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# ----------------
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# Size of the current code part, which is used to speed up parsing.
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part_line_length = 20
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part_line_length = 20
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"""
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Size of the current code part, which is used to speed up parsing.
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"""
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# ----------------
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# ----------------
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# caching validity (time)
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# caching validity (time)
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# ----------------
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# ----------------
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# In huge packages like numpy, checking all star imports on every completion
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# might be slow, therefore we do a star import caching, that lasts a certain
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# time span (in seconds).
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star_import_cache_validity = 60.0
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star_import_cache_validity = 60.0
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"""
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In huge packages like numpy, checking all star imports on every completion
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might be slow, therefore we do a star import caching, that lasts a certain
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time span (in seconds).
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"""
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# Finding function calls might be slow (0.1-0.5s). This is not acceptible for
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# normal writing. Therefore cache it for a short time.
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get_in_function_call_validity = 3.0
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get_in_function_call_validity = 3.0
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"""
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Finding function calls might be slow (0.1-0.5s). This is not acceptible for
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normal writing. Therefore cache it for a short time.
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"""
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