88 lines
3 KiB
Python
88 lines
3 KiB
Python
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# ----------------
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# completion output settings
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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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# 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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# 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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# ----------------
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# dynamic stuff
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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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# check for `append`, etc. on arrays: [], {}, ()
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dynamic_array_additions = 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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dynamic_params = True
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# Do the same for other modules.
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dynamic_params_for_other_modules = True
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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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# ----------------
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# recursions
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# ----------------
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# Recursion settings are important if you don't want extremly recursive python
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# code to go absolutely crazy. First of there is a global limit
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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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#
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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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# 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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# 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_executions_without_builtins = 200
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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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# ----------------
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# various
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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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# ----------------
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# star import caching
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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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