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yap-6.3/packages/python/yap_kernel/yap_ipython/prolog/jupyter.yap

119 lines
2.2 KiB
Prolog

/**
* @file jupyter.yap
*
* @brief JUpyter support.
*/
:- yap_flag(gc_trace,verbose).
/*
:- module( jupyter,
[jupyter_queryl/3,
blank/1,
streams/2
]
).
*/
:- use_module(library(hacks)).
:- use_module(library(lists)).
:- use_module(library(maplist)).
%% :- reexport(library(python)).
%% :- reexport(library(yapi)).
%% :- reexport(library(complete)).
%% :- reexport(library(verify)).
:- python_import(sys).
jupyter_query(Caller, Cell, Line ) :-
jupyter_cell(Caller, Cell, Line).
jupyter_cell(_Caller, Cell, _Line) :-
jupyter_consult(Cell), %stack_dump,
fail.
jupyter_cell( _Caller, _, ¨¨ ) :- !.
jupyter_cell( _Caller, _, Line ) :-
blank( Line ),
!.
jupyter_cell(Caller, _, Line ) :-
Query = Caller,
catch(
python_query(Query,Line),
error(A,B),
system_error(A,B)
).
restreams(call) :-
streams(true).
restreams(fail) :-
streams(false).
restreams(answer).
restreams(exit) :-
streams(false).
restreams(!).
restreams(external_exception(_)).
restreams(exception).
jupyter_consult(Text) :-
blank( Text ),
!.
jupyter_consult(Cell) :-
% Name = 'Inp',
% stream_property(Stream, file_name(Name) ),
% setup_call_cleanup(
catch(
(
Options = [],
open_mem_read_stream( Cell, Stream),
load_files(Stream,[stream(Stream)| Options])
),
error(A,B),
(close(Stream), system_error(A,B))
),
fail.
jupyter_consult(_Cell).
blank(Text) :-
atom(Text),
!,
atom_codes(Text, L),
maplist( code_type(space), L).
blank(Text) :-
string(Text),
!,
string_codes(Text, L),
maplist( code_type(space), L).
streams(false) :-
close(user_input),
close(user_output),
close(user_error).
streams( true) :-
open('/python/input', read, _Input, [alias(user_input),bom(false),script(false)]),
open('/python/sys.stdout', append, _Output, [alias(user_output)]),
open('/python/sys.stderr', append, _Error, [alias(user_error)]).
:- if( current_prolog_flag(apple, true) ).
:- putenv( 'LC_ALL', 'en_us:UTF-8').
plot_inline :-
X := self.inline_plotting,
nb_setval(inline, X ),
X = true,
!,
:= (
import( matplotlib ),
matplotlib.use( `nbagg` )
).
:- endif.
%y:- ( start_low_level_trace ).