Module Import alias ImportFrom alias Import alias Import alias identifier Import alias identifier ImportFrom alias ImportFrom alias ImportFrom alias alias alias alias ImportFrom alias alias ImportFrom alias ImportFrom alias alias alias alias ImportFrom alias alias alias alias ImportFrom alias alias alias ImportFrom alias ImportFrom alias alias alias alias alias alias alias alias alias alias alias alias alias alias ImportFrom alias alias alias alias alias alias alias ImportFrom alias ImportFrom alias ImportFrom alias alias alias alias alias alias alias alias alias alias alias alias ImportFrom alias alias alias ImportFrom alias ImportFrom alias ImportFrom alias alias ImportFrom alias alias ClassDef bases NameLoad body Expr Str FunctionDef arguments args NameParam NameParam NameParam defaults body If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str orelse If UnaryOpNot Call AttributeLoad Call NameLoad NameLoad Call AttributeLoad NameLoad attr Call NameLoad NameLoad attr body Raise Call NameLoad Str Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad NameLoad Num NameLoad NameLoad NameLoad NameLoad body Expr Str ImportFrom alias ImportFrom alias ImportFrom alias Assign NameStore Call NameLoad Assign NameStore Call NameLoad If Call NameLoad NameLoad NameLoad body If CompareIs AttributeLoad NameLoad attr NameLoad body Assign NameStore ListLoad Str orelse Assign NameStore ListLoad Str Str Assign NameStore AttributeLoad AttributeLoad NameLoad attr attr Assign NameStore AttributeLoad NameLoad attr Assign NameStore AttributeLoad NameLoad attr Expr Call AttributeLoad NameLoad attr TupleLoad Str Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Num If Call NameLoad AttributeLoad NameLoad attr NameLoad body Assign NameStore ListComp NameLoad comprehension NameStore ListComp ListComp Call AttributeLoad Str attr IfExp CompareLt NameLoad Num Str Str NameLoad comprehension NameStore NameLoad comprehension TupleStore NameStore NameStore Call NameLoad AttributeLoad NameLoad attr comprehension NameStore NameLoad orelse Assign NameStore ListComp Call AttributeLoad Str attr NameLoad comprehension NameStore AttributeLoad NameLoad attr orelse If Call NameLoad NameLoad TupleLoad NameLoad NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad AttributeLoad NameLoad attr If Call NameLoad NameLoad NameLoad body Assign NameStore ListLoad Str Str Str Assign NameStore SubscriptLoad Call AttributeLoad NameLoad attr ExtSlice Slice Index NameLoad Slice Assign NameStore AttributeLoad NameLoad attr Assign TupleStore NameStore NameStore NameStore AttributeLoad NameLoad attr Assign NameStore AttributeLoad Call AttributeLoad NameLoad attr NameLoad attr Assign NameStore Call AttributeLoad NameLoad attr NameLoad NameLoad Assign NameStore Call NameLoad GeneratorExp TupleLoad NameLoad NameLoad comprehension TupleStore NameStore NameStore Call AttributeLoad AttributeLoad NameLoad attr attr Assign NameStore ListComp SubscriptLoad NameLoad Index NameLoad comprehension NameStore SubscriptLoad AttributeLoad NameLoad attr ExtSlice Slice Index Num Expr Call AttributeLoad NameLoad attr TupleLoad Str Call AttributeLoad NameLoad attr NameLoad NameLoad Expr Call AttributeLoad NameLoad attr TupleLoad Str Call AttributeLoad NameLoad attr Call AttributeLoad NameLoad attr NameLoad NameLoad Assign NameStore ListComp SubscriptLoad AttributeLoad NameLoad attr Index NameLoad comprehension NameStore NameLoad orelse If Call NameLoad NameLoad TupleLoad NameLoad NameLoad body Assign NameStore ListLoad Str If Call NameLoad NameLoad NameLoad body Assign TupleStore NameStore NameStore SubscriptLoad NameLoad ExtSlice Index NameLoad Slice NameLoad NameLoad orelse If Call NameLoad NameLoad NameLoad body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr ExtSlice Index NameLoad Slice Assign NameStore AttributeLoad NameLoad attr Assign TupleStore NameStore NameStore AttributeLoad NameLoad attr Assign NameStore AttributeLoad NameLoad attr Assign NameStore ListComp SubscriptLoad AttributeLoad NameLoad attr Index NameLoad comprehension NameStore NameLoad Assign NameStore ListComp Call NameLoad AttributeLoad NameLoad attr NameLoad comprehension NameStore NameLoad Assign NameStore Num Assign NameStore ListLoad Assign NameStore Call NameLoad Str NameLoad For NameStore Call AttributeLoad NameLoad attr body If CompareIn NameLoad NameLoad body AugAssignAdd NameStore Num Expr Call AttributeLoad NameLoad attr NameLoad For NameStore NameLoad body Assign NameStore SubscriptLoad NameLoad Index NameLoad Assign NameStore ListComp SubscriptLoad NameLoad Index NameLoad comprehension NameStore Call NameLoad Call NameLoad NameLoad CompareEq SubscriptLoad NameLoad Index NameLoad NameLoad If CompareGt Call NameLoad NameLoad Num body AugAssignMult SubscriptStore NameLoad ExtSlice Slice Index NameLoad NameLoad orelse Raise Call NameLoad BinOpAdd Str Call AttributeLoad Str attr Call NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr BinOpMult NameLoad NameLoad Expr Call AttributeLoad NameLoad attr TupleLoad Str NameLoad If CompareIsNot NameLoad NameLoad body Expr Call NameLoad NameLoad NameLoad orelse Assign NameStore NameLoad If CompareIs NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr Assert Call NameLoad GeneratorExp CompareEq Call NameLoad NameLoad Call NameLoad SubscriptLoad NameLoad Index Num comprehension NameStore NameLoad Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword NameLoad For TupleStore NameStore TupleStore NameStore NameStore Call NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr NameLoad NameLoad NameLoad If CompareIsNot NameLoad NameLoad body If CompareIn Str NameLoad body Expr Call AttributeLoad NameLoad attr Str Assign SubscriptStore NameLoad Index Str Call AttributeLoad SubscriptLoad NameLoad Index Str attr AttributeLoad NameLoad attr Expr Call AttributeLoad NameLoad attr NameLoad keyword NameLoad If Call NameLoad GeneratorExp CompareIn NameLoad NameLoad comprehension NameStore NameLoad body Assign AttributeStore AttributeLoad NameLoad attr attr Str Return NameLoad decorator_list decorator_list ClassDef bases NameLoad body Expr Str FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad body Expr Str ImportFrom alias If Call NameLoad NameLoad NameLoad body Assign NameStore BinOpDiv Num AttributeLoad NameLoad attr orelse Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Str Assign NameStore BinOpMult BinOpSub Call AttributeLoad NameLoad attr NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Num NameLoad If NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad Return Call AttributeLoad NameLoad attr NameLoad decorator_list decorator_list FunctionDef arguments args NameParam NameParam defaults vararg kwarg body Assign NameStore AttributeLoad NameLoad attr Assign NameStore Call NameLoad NameLoad NameLoad NameLoad If UnaryOpNot Call NameLoad NameLoad AttributeLoad NameLoad attr body Raise Call NameLoad Str If CompareNotEq AttributeLoad NameLoad attr NameLoad body Raise Call NameLoad BinOpMod Str TupleLoad NameLoad AttributeLoad NameLoad attr Return NameLoad decorator_list ClassDef bases NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad body Expr Str FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad TupleLoad Num NameLoad TupleLoad NameLoad TupleLoad NameLoad NameLoad NameLoad Str AttributeLoad NameLoad attr NameLoad body If Call NameLoad NameLoad AttributeLoad NameLoad attr body If CompareNotIn AttributeLoad NameLoad attr TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr body Raise Call NameLoad BinOpMod Str AttributeLoad NameLoad attr If CompareNotEq AttributeLoad NameLoad attr NameLoad body Raise Call NameLoad Str Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assert CompareEq Call NameLoad NameLoad Num Assign NameStore ListLoad BinOpSub BinOpAdd SubscriptLoad NameLoad Index Num SubscriptLoad AttributeLoad AttributeLoad NameLoad attr attr Index Num Num Assign NameStore NameLoad orelse If CompareIs NameLoad NameLoad body Raise Call NameLoad Str If CompareIs NameLoad NameLoad body Assign AttributeStore NameLoad attr NameLoad Assign NameStore NameLoad orelse If BoolOpAnd CompareIsNot NameLoad NameLoad UnaryOpNot Call NameLoad NameLoad NameLoad body Raise Call NameLoad BinOpMod Str NameLoad orelse Assign NameStore NameLoad Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr NameLoad Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr Assign AttributeStore NameLoad attr NameLoad If CompareIs Call AttributeLoad NameLoad attr Str NameLoad NameLoad body Raise Call NameLoad Str Assign NameStore Call AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str For NameStore Call NameLoad SubscriptLoad NameLoad Index Str body Assign SubscriptStore NameLoad Index NameLoad BinOpMult SubscriptLoad SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str SubscriptLoad SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr Call NameLoad NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr Call NameLoad NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr Call NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr If NameLoad body Expr Call AttributeLoad NameLoad attr NameLoad decorator_list NameLoad FunctionDef arguments args NameParam defaults body Expr Str Return AttributeLoad NameLoad attr decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults Num NameLoad NameLoad NameLoad NameLoad NameLoad body Expr Str Assign NameStore Call NameLoad NameLoad Assign NameStore IfExp CompareIs NameLoad NameLoad AttributeLoad NameLoad attr Call NameLoad ListLoad Call NameLoad NameLoad AttributeLoad NameLoad attr If CompareGtE NameLoad NameLoad body Raise Call NameLoad Str Assign NameStore IfExp CompareIs NameLoad NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str Call NameLoad NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad CompareGt Call NameLoad NameLoad Num Call AttributeLoad NameLoad attr CompareEq Call AttributeLoad NameLoad attr NameLoad Num body Assign NameStore Call NameLoad SubscriptLoad NameLoad Index Num BinOpAdd SubscriptLoad NameLoad Index Num Num Assign NameStore IfExp CompareIs NameLoad NameLoad Call NameLoad NameLoad NameLoad NameLoad NameLoad Assign NameStore TupleLoad NameLoad BinOpSub NameLoad NameLoad Assign NameStore AttributeLoad NameLoad attr If Call NameLoad NameLoad AttributeLoad NameLoad attr body If CompareNotEq AttributeLoad NameLoad attr NameLoad body Raise Call NameLoad BinOpMod Str TupleLoad AttributeLoad NameLoad attr NameLoad Assign NameStore NameLoad orelse If Call NameLoad NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword Str keyword NameLoad keyword NameLoad orelse Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword NameLoad Assign NameStore Call AttributeLoad NameLoad attr TupleLoad ListLoad Num Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr keyword Str Assign NameStore Call AttributeLoad NameLoad attr NameLoad Assign NameStore Call AttributeLoad NameLoad attr Call AttributeLoad NameLoad attr NameLoad SubscriptLoad NameLoad Slice Num Call AttributeLoad NameLoad attr BinOpSub NameLoad Num SubscriptLoad NameLoad Slice Num Assign NameStore SubscriptLoad Call AttributeLoad AttributeLoad NameLoad attr attr ExtSlice Index AttributeLoad NameLoad attr Slice If CompareIsNot AttributeLoad NameLoad attr NameLoad body If CompareIsNot NameLoad NameLoad body Assign NameStore BinOpMult AttributeLoad NameLoad attr NameLoad Assign NameStore Call AttributeLoad NameLoad attr SubscriptLoad NameLoad Index NameLoad NameLoad orelse Assign NameStore BinOpMult SubscriptLoad AttributeLoad NameLoad attr Index NameLoad NameLoad orelse If CompareIsNot NameLoad NameLoad body Assign NameStore BinOpMult SubscriptLoad NameLoad Index NameLoad NameLoad orelse Assign NameStore NameLoad Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index NameLoad Assign NameStore Num For NameStore SubscriptLoad Call AttributeLoad NameLoad attr NameLoad Index Num body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index NameLoad If CompareEq NameLoad Num body AugAssignAdd NameStore BinOpSub NameLoad SubscriptLoad NameLoad Index NameLoad Assign NameStore Call AttributeLoad NameLoad attr ListLoad BinOpAdd BinOpSub NameLoad SubscriptLoad NameLoad Index NameLoad SubscriptLoad AttributeLoad NameLoad attr Index NameLoad BinOpAdd SubscriptLoad AttributeLoad NameLoad attr Index NameLoad Num If BoolOpOr CompareLt NameLoad SubscriptLoad AttributeLoad NameLoad attr Index NameLoad CompareLt NameLoad NameLoad body Raise Call NameLoad Str Assign NameStore BinOpSub NameLoad NameLoad Assign NameStore Call NameLoad NameLoad BinOpAdd NameLoad NameLoad Expr Call AttributeLoad NameLoad attr SubscriptLoad NameLoad ExtSlice Slice Index NameLoad NameLoad NameLoad Call NameLoad NameLoad Call NameLoad NameLoad NameLoad NameLoad AugAssignAdd NameStore NameLoad Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults body Expr Str Raise NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam defaults NameLoad body Expr Str If CompareLt NameLoad Num body Return NameLoad If BoolOpAnd NameLoad CompareIsNot AttributeLoad NameLoad attr NameLoad body Assign NameStore AttributeLoad NameLoad attr Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Str Assign NameStore Call NameLoad NameLoad AttributeLoad NameLoad attr Assign NameStore Call AttributeLoad NameLoad attr CompareLt NameLoad BinOpDiv NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr CompareGt BinOpAdd SubscriptLoad NameLoad Index NameLoad SubscriptLoad AttributeLoad NameLoad attr Index NameLoad BinOpDiv NameLoad NameLoad For NameStore SubscriptLoad AttributeLoad NameLoad attr Index NameLoad body If Call AttributeLoad Call AttributeLoad NameLoad attr attr Str body Return NameLoad Return SubscriptLoad SubscriptLoad NameLoad ExtSlice Index NameLoad Slice NameLoad NameLoad Index Num decorator_list FunctionDef arguments args NameParam NameParam defaults NameLoad body Expr Str If UnaryOpNot AttributeLoad NameLoad attr body Expr Call AttributeLoad NameLoad attr NameLoad Return NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad body Expr Str Assign NameStore IfExp Call NameLoad NameLoad TupleLoad NameLoad AttributeLoad NameLoad attr NameLoad NameLoad Expr Call AttributeLoad NameLoad attr BinOpMod Str TupleLoad Num BinOpSub Call NameLoad AttributeLoad NameLoad attr Num Num SubscriptLoad AttributeLoad NameLoad attr Index Num Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr keyword NameLoad Assert CompareEq Call NameLoad AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index Str Assign AttributeStore NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr decorator_list NameLoad FunctionDef arguments args NameParam defaults body Expr Str Assign AttributeStore NameLoad attr BinOpDiv Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str Assign AttributeStore AttributeLoad AttributeLoad NameLoad attr attr attr NameLoad decorator_list FunctionDef arguments args NameParam defaults body Return SubscriptLoad AttributeLoad NameLoad attr Index Num decorator_list NameLoad FunctionDef arguments args NameParam defaults body Return BinOpSub BinOpAdd AttributeLoad NameLoad attr Call NameLoad AttributeLoad NameLoad attr Num decorator_list NameLoad FunctionDef arguments args NameParam defaults body Return ListComp BinOpAdd BinOpSub NameLoad NameLoad Num comprehension TupleStore NameStore NameStore Call NameLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr decorator_list NameLoad FunctionDef arguments args NameParam defaults body If BoolOpAnd Call NameLoad NameLoad Str Call NameLoad AttributeLoad NameLoad attr Str body Assign NameStore AttributeLoad AttributeLoad NameLoad attr attr Delete AttributeDel NameLoad attr TryExcept body Expr Call AttributeLoad NameLoad attr NameLoad handlers ExceptHandler type NameLoad body Pass decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults body Expr Str TryExcept body Expr Call AttributeLoad NameLoad attr handlers ExceptHandler body Return TupleLoad NameLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam defaults body If UnaryOpNot AttributeLoad NameLoad attr body Raise Call NameLoad Str Return Call NameLoad Call NameLoad keyword AttributeLoad NameLoad attr keyword AttributeLoad NameLoad attr decorator_list FunctionDef arguments args NameParam NameParam defaults body If UnaryOpNot Call NameLoad NameLoad NameLoad body Assign NameStore TupleLoad NameLoad Call NameLoad NameLoad NameLoad NameLoad If CompareNotEq Call NameLoad NameLoad Num body Raise Call NameLoad Str If Call NameLoad SubscriptLoad NameLoad Index Num NameLoad body Assign NameStore IfExp CompareIsNot AttributeLoad SubscriptLoad NameLoad Index Num attr NameLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Num Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Str If CompareLt NameLoad Num body AugAssignAdd NameStore NameLoad If CompareLt NameLoad Num body Raise Call NameLoad BinOpMod Str NameLoad Assign NameStore IfExp CompareIsNot AttributeLoad SubscriptLoad NameLoad Index Num attr NameLoad AttributeLoad SubscriptLoad NameLoad Index Num attr NameLoad Assign NameStore IfExp CompareIsNot AttributeLoad SubscriptLoad NameLoad Index Num attr NameLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Num Assign NameStore Call NameLoad Call NameLoad NameLoad NameLoad NameLoad orelse Assign NameStore SubscriptLoad NameLoad Index Num If Call NameLoad SubscriptLoad NameLoad Index Num NameLoad body Assign NameStore SubscriptLoad NameLoad Index Num Assign TupleStore NameStore NameStore NameStore TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr AttributeLoad NameLoad attr orelse Assign NameStore SubscriptLoad NameLoad Index Num If CompareEq AttributeLoad AttributeLoad Call AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Num attr attr Str body Assign NameStore Call NameLoad NameLoad If Call NameLoad NameLoad TupleLoad NameLoad AttributeLoad NameLoad attr body Assign TupleStore NameStore NameStore NameStore TupleLoad NameLoad BinOpAdd NameLoad Num Num orelse Raise Call NameLoad Str If CompareIs NameLoad NameLoad body Assign NameStore Num If BoolOpAnd CompareIsNot NameLoad NameLoad CompareIsNot NameLoad Num body Raise Call NameLoad BinOpMod Str NameLoad If Call NameLoad NameLoad TupleLoad NameLoad AttributeLoad NameLoad attr body Assign NameStore Call AttributeLoad NameLoad attr ListLoad NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad CompareEq Call NameLoad NameLoad Num body Raise Call NameLoad Str Return TupleLoad NameLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam NameParam defaults body Expr Str Assign TupleStore NameStore NameStore NameStore Call AttributeLoad NameLoad attr NameLoad If AttributeLoad NameLoad attr body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr ExtSlice Index NameLoad Slice NameLoad NameLoad orelse Assign NameStore Call AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad keyword NameLoad keyword AttributeLoad NameLoad attr keyword AttributeLoad NameLoad attr Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Slice NameLoad NameLoad Return TupleLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults body Expr Str Expr Call NameLoad NameLoad Str Assign TupleStore NameStore NameStore NameStore Call AttributeLoad NameLoad attr NameLoad Assign SubscriptStore AttributeLoad NameLoad attr ExtSlice Index NameLoad Slice NameLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam defaults body Expr Str Expr Call AttributeLoad AttributeLoad NameLoad attr attr Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam defaults vararg kwarg body Expr Str Expr Call NameLoad NameLoad Str If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad AttributeLoad NameLoad attr keyword ListLoad keyword NameLoad If UnaryOpNot Call NameLoad NameLoad body Raise Call NameLoad Str Assign NameStore AttributeLoad NameLoad attr If BoolOpAnd CompareIsNot NameLoad NameLoad CompareNotEq NameLoad AttributeLoad AttributeLoad NameLoad attr attr body Assign AttributeStore NameLoad attr Call AttributeLoad AttributeLoad NameLoad attr attr NameLoad If CompareEq NameLoad Num body For NameStore NameLoad body Assign SubscriptStore AttributeLoad NameLoad attr ExtSlice Index NameLoad Slice Call NameLoad NameLoad SubscriptLoad NameLoad ExtSlice Index NameLoad Slice NameLoad NameLoad orelse Assign TupleStore NameStore NameStore NameStore Call NameLoad NameLoad NameLoad Assign NameStore Call NameLoad GeneratorExp Call NameLoad NameLoad SubscriptLoad NameLoad Index NameLoad NameLoad NameLoad comprehension NameStore NameLoad For TupleStore NameStore NameStore Call NameLoad NameLoad body Assign SubscriptStore AttributeLoad NameLoad attr ExtSlice Index NameLoad Slice SubscriptLoad NameLoad Index NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Num NameLoad NameLoad body Expr Str Assign NameStore IfExp CompareIs NameLoad NameLoad AttributeLoad NameLoad attr NameLoad If CompareLt NameLoad AttributeLoad NameLoad attr body Raise Call NameLoad Str If CompareIs NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr NameLoad NameLoad NameLoad NameLoad NameLoad keyword NameLoad orelse Expr Call AttributeLoad NameLoad attr NameLoad NameLoad AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Str Num Num Num Str NameLoad NameLoad body Expr Str Assign NameStore Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str If CompareEq NameLoad Num body Assign NameStore NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad CompareGt NameLoad BinOpDiv NameLoad Num body Assign NameStore NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad UnaryOpNot Call NameLoad NameLoad NameLoad body Assign NameStore Call NameLoad NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad UnaryOpNot Call NameLoad NameLoad NameLoad body Assign NameStore Call NameLoad NameLoad Expr Call NameLoad NameLoad Str If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad AttributeLoad NameLoad attr If CompareLt Call NameLoad NameLoad Num body Raise Call NameLoad Str If CompareIsNot NameLoad NameLoad body If BoolOpAnd BoolOpOr CompareIs NameLoad NameLoad CompareLt NameLoad NameLoad BoolOpOr CompareIs SubscriptLoad AttributeLoad NameLoad attr Index Str NameLoad CompareLt NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str body Assign SubscriptStore AttributeLoad NameLoad attr Index Str NameLoad If CompareIsNot NameLoad NameLoad body If BoolOpAnd BoolOpOr CompareIs NameLoad NameLoad CompareLt NameLoad NameLoad BoolOpOr CompareIs SubscriptLoad AttributeLoad NameLoad attr Index Str NameLoad CompareGt NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str body Assign SubscriptStore AttributeLoad NameLoad attr Index Str NameLoad orelse If BoolOpOr CompareIsNot NameLoad NameLoad CompareIsNot NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr Str If BoolOpAnd CompareIs NameLoad NameLoad CompareIsNot NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr BinOpMod Str NameLoad Expr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad CompareIs NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr BinOpMod Str NameLoad Expr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad If BoolOpAnd CompareIsNot NameLoad NameLoad CompareIsNot NameLoad NameLoad body If CompareLt NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr BinOpMod Str TupleLoad NameLoad NameLoad Assign AttributeStore NameLoad attr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad orelse Expr Call AttributeLoad NameLoad attr BinOpMod Str TupleLoad NameLoad NameLoad Assign AttributeStore NameLoad attr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Return NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Str NameLoad Num Num Str NameLoad NameLoad Num NameLoad body Expr Str Assign NameStore Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad AttributeLoad NameLoad attr If CompareLt Call NameLoad NameLoad Num body Raise Call NameLoad Str Expr Call NameLoad NameLoad Str Assign AttributeStore NameLoad attr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Return NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Str NameLoad Num NameLoad NameLoad NameLoad body Expr Str If CompareIs NameLoad NameLoad body Assign NameStore Num Expr Call NameLoad Str NameLoad Expr Call NameLoad NameLoad Str Assign NameStore Call NameLoad NameLoad NameLoad If CompareIs NameLoad NameLoad body TryExcept body Assign NameStore Call NameLoad NameLoad handlers ExceptHandler body Pass Assign NameStore Call NameLoad NameLoad Assign NameStore Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str Assign NameStore Call AttributeLoad NameLoad attr TupleLoad ListLoad Num Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr Assign NameStore Call NameLoad Assign NameStore BinOpDiv NameLoad NameLoad If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad keyword NameLoad keyword ListLoad Assign NameStore Call AttributeLoad NameLoad attr NameLoad For NameStore Call NameLoad Call NameLoad AttributeLoad NameLoad attr body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr ExtSlice Slice Slice SubscriptLoad NameLoad Index NameLoad SubscriptLoad NameLoad Index BinOpAdd NameLoad Num Expr Call AttributeLoad NameLoad attr Call NameLoad NameLoad NameLoad NameLoad NameLoad keyword NameLoad keyword NameLoad Assign NameStore SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Num If CompareGt Call NameLoad NameLoad Num body Assign NameStore Call NameLoad SubscriptLoad NameLoad Index NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Num SubscriptLoad AttributeLoad NameLoad attr Index Num Assign SubscriptStore SubscriptLoad NameLoad Index NameLoad Index NameLoad NameLoad Assign SubscriptStore AttributeLoad NameLoad attr Index NameLoad Call NameLoad BinOpMult SubscriptLoad AttributeLoad NameLoad attr Index NameLoad NameLoad Assign SubscriptStore AttributeLoad NameLoad attr Index NameLoad BinOpSub BinOpAdd SubscriptLoad AttributeLoad NameLoad attr Index NameLoad NameLoad Num Assign SubscriptStore AttributeLoad NameLoad attr Index NameLoad NameLoad Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr NameLoad keyword Num Assign SubscriptStore AttributeLoad NameLoad attr Index Str NameLoad If CompareIsNot Call AttributeLoad AttributeLoad NameLoad attr attr Str NameLoad body Assign SubscriptStore AttributeLoad NameLoad attr Index Str Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str BinOpDiv NameLoad Num Expr Call AttributeLoad NameLoad attr If CompareIs NameLoad NameLoad body TryExcept body Assign NameStore Call NameLoad NameLoad If CompareNotEq Call NameLoad NameLoad Call NameLoad NameLoad body Expr Call NameLoad Str handlers ExceptHandler body Pass Return NameLoad orelse If NameLoad body Assign NameStore Call AttributeLoad NameLoad attr Assign SubscriptStore NameLoad ExtSlice Slice Index Num Call AttributeLoad NameLoad attr Call AttributeLoad Call AttributeLoad NameLoad attr BinOpMult SubscriptLoad NameLoad ExtSlice Slice Index Num NameLoad attr NameLoad SubscriptLoad AttributeLoad AttributeLoad NameLoad attr attr Index Num Return TupleLoad NameLoad NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam defaults Num NameLoad NameLoad body Expr Str Assign NameStore Call NameLoad NameLoad NameLoad keyword NameLoad Assign NameStore BinOpDiv BinOpSub AttributeLoad NameLoad attr Num SubscriptLoad AttributeLoad NameLoad attr Index Str If CompareIs NameLoad NameLoad body Assign NameStore NameLoad If CompareGt NameLoad NameLoad body Raise Call NameLoad Str If CompareLt NameLoad Num body Raise Call NameLoad Str orelse If CompareGt NameLoad NameLoad body Raise Call NameLoad BinOpMod Str NameLoad Assign TupleStore NameStore NameStore SubscriptLoad SubscriptLoad Call AttributeLoad NameLoad attr Call NameLoad AttributeLoad NameLoad attr NameLoad NameLoad keyword SubscriptLoad AttributeLoad NameLoad attr Index Str Index Num Index ListLoad Num Num Assign NameStore Call AttributeLoad NameLoad attr TupleLoad ListLoad Num Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr keyword Str Assign NameStore Call AttributeLoad NameLoad attr NameLoad Assign NameStore Call AttributeLoad NameLoad attr Call AttributeLoad NameLoad attr NameLoad SubscriptLoad NameLoad Slice Num Call AttributeLoad NameLoad attr NameLoad SubscriptLoad NameLoad Slice Num Assign NameStore SubscriptLoad Call AttributeLoad NameLoad attr NameLoad Index Num Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index NameLoad AugAssignAdd SubscriptStore AttributeLoad NameLoad attr Index Num BinOpSub NameLoad SubscriptLoad NameLoad Index SubscriptLoad NameLoad Index Num Assign AttributeStore NameLoad attr Call AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index NameLoad AugAssignSub SubscriptStore AttributeLoad NameLoad attr Index Num BinOpSub BinOpSub SubscriptLoad NameLoad Index BinOpAdd SubscriptLoad NameLoad Index Num Num Num NameLoad Assign AttributeStore NameLoad attr ListComp NameLoad comprehension TupleStore NameStore NameStore Call NameLoad AttributeLoad NameLoad attr CompareIn NameLoad NameLoad Assign AttributeStore NameLoad attr ListComp NameLoad comprehension TupleStore NameStore NameStore Call NameLoad AttributeLoad NameLoad attr CompareIn NameLoad NameLoad If AttributeLoad NameLoad attr body Assign AttributeStore NameLoad attr Call AttributeLoad SubscriptLoad AttributeLoad NameLoad attr ExtSlice Slice Slice NameLoad BinOpAdd NameLoad Num attr Expr Call AttributeLoad NameLoad attr Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Num NameLoad Num NameLoad NameLoad Str NameLoad Str NameLoad body Expr Str Expr Call NameLoad NameLoad Str TupleLoad Str Str Str Str Str Str Assign NameStore Call NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr NameLoad If BoolOpAnd UnaryOpNot AttributeLoad NameLoad attr CompareIn NameLoad AttributeLoad NameLoad attr body Raise Call NameLoad Str If AttributeLoad NameLoad attr body If Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr body Expr Call NameLoad Str Assign NameStore Call NameLoad keyword AttributeLoad NameLoad attr keyword AttributeLoad NameLoad attr keyword AttributeLoad NameLoad attr keyword AttributeLoad NameLoad attr If CompareNotIn NameLoad Call AttributeLoad NameLoad attr body Raise Call NameLoad Str Assign NameStore Call NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Assign NameStore SubscriptLoad NameLoad Index NameLoad Assign NameStore SubscriptLoad NameLoad Index NameLoad Assign NameStore SubscriptLoad SubscriptLoad NameLoad Index TupleLoad Num Num Index Num If BoolOpAnd CompareEq NameLoad Str Call AttributeLoad NameLoad attr NameLoad body Raise Call NameLoad Str Expr Call NameLoad NameLoad NameLoad If NameLoad body Assign NameStore Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr Assign TupleStore NameStore NameStore Call NameLoad NameLoad Expr Call NameLoad SubscriptLoad NameLoad Index Str keyword NameLoad orelse Assign NameStore AttributeLoad NameLoad attr Assign NameStore NameLoad Assign NameStore NameLoad If CompareIsNot AttributeLoad NameLoad attr NameLoad body Assign NameStore Call AttributeLoad NameLoad attr AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Assign NameStore Call NameLoad Call AttributeLoad NameLoad attr BinOpMult NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str If CompareIs NameLoad NameLoad body Assign NameStore BinOpSub BinOpAdd AttributeLoad NameLoad attr Num AttributeLoad NameLoad attr orelse Assign NameStore Call NameLoad Call AttributeLoad NameLoad attr BinOpMult NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str Assign NameStore Call AttributeLoad NameLoad attr NameLoad Expr Call NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad Num NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults NameLoad Num Num Num Str NameLoad TupleLoad Num Num Num Str NameLoad NameLoad Str NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad Num NameLoad body Expr Str Return Call NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults Num Num Num AttributeLoad NameLoad attr NameLoad Num NameLoad NameLoad Str Str Num Num NameLoad NameLoad Num NameLoad body Expr Str Return Call NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad decorator_list NameLoad FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults Num NameLoad Num Num NameLoad Num Num NameLoad Str Str Str NameLoad NameLoad Num NameLoad body Expr Str Return Call NameLoad NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults NameLoad NameLoad body Expr Str If CompareIs NameLoad NameLoad body Assign NameStore NameLoad orelse Expr Call NameLoad Str NameLoad Assign NameStore Call AttributeLoad Call NameLoad NameLoad NameLoad attr NameLoad NameLoad If NameLoad body AugAssignSub NameStore AttributeLoad NameLoad attr Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad body Expr Str Return Call NameLoad NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str AttributeLoad NameLoad attr NameLoad decorator_list Call NameLoad Str FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults Num Num Num NameLoad NameLoad Str body Expr Str ImportFrom alias Assign NameStore Call NameLoad Num SubscriptLoad Call AttributeLoad NameLoad attr NameLoad Index Num If CompareIs NameLoad NameLoad body Assign NameStore BinOpSub AttributeLoad NameLoad attr Num orelse Assign NameStore Call NameLoad BinOpSub AttributeLoad NameLoad attr Num SubscriptLoad Call AttributeLoad NameLoad attr NameLoad Index Num Assign NameStore Call NameLoad NameLoad BinOpAdd NameLoad Num If CompareIs NameLoad NameLoad body Assign NameStore Call NameLoad AttributeLoad NameLoad attr keyword Str keyword NameLoad If CompareEq Call NameLoad NameLoad Num body Return TupleLoad Num Num Assign NameStore SubscriptLoad SubscriptLoad NameLoad Index TupleLoad NameLoad NameLoad Index Num Assign NameStore Call NameLoad NameLoad Call NameLoad AttributeLoad NameLoad attr NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Return NameLoad decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return SubscriptLoad AttributeLoad NameLoad attr Index Str decorator_list NameLoad FunctionDef arguments args NameParam defaults body Expr Str Return AttributeLoad NameLoad attr decorator_list NameLoad FunctionDef arguments args NameParam defaults body Expr Str Return BinOpAdd BinOpSub AttributeLoad NameLoad attr AttributeLoad NameLoad attr Num decorator_list NameLoad FunctionDef arguments args NameParam defaults body Return AttributeLoad NameLoad attr decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad NameLoad body Expr Str If CompareIsNot NameLoad NameLoad body Assign NameStore Call NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str With Call NameLoad NameLoad NameStore body Assign NameStore ListComp NameLoad comprehension NameStore Call AttributeLoad Call AttributeLoad NameLoad attr attr NameLoad Assign NameStore ListComp NameLoad comprehension NameStore NameLoad CompareIn NameLoad NameLoad Assign NameStore BinOpSub Call NameLoad NameLoad Call NameLoad NameLoad If CompareGt NameLoad Num body If UnaryOpNot NameLoad body Raise Call NameLoad BinOpMod Str TupleLoad NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Num orelse Expr Call NameLoad BinOpMod Str TupleLoad NameLoad NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Num Assign SubscriptStore AttributeLoad NameLoad attr Index Str NameLoad orelse Assign SubscriptStore AttributeLoad NameLoad attr Index Str ListLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad body Expr Str If UnaryOpNot Call NameLoad NameLoad NameLoad body Assign NameStore ListLoad NameLoad Assign NameStore ListLoad NameLoad AugAssignAdd NameStore NameLoad Expr Call NameLoad NameLoad Assign NameStore BoolOpAnd AttributeLoad NameLoad attr Call NameLoad GeneratorExp AttributeLoad NameLoad attr comprehension NameStore NameLoad If CompareIs NameLoad NameLoad body If NameLoad body Assign NameStore NameLoad orelse Assign NameStore NameLoad If CompareIs NameLoad NameLoad body If AttributeLoad NameLoad attr body Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad orelse Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Str Assign NameStore Call AttributeLoad NameLoad attr ListComp AttributeLoad NameLoad attr comprehension NameStore BinOpAdd ListLoad NameLoad NameLoad Assign NameStore SubscriptLoad NameLoad Index Num If UnaryOpNot AttributeLoad NameLoad attr body Assign NameStore Call AttributeLoad NameLoad attr orelse Assign NameStore AttributeLoad NameLoad attr If Call NameLoad NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword Str keyword AttributeLoad NameLoad attr keyword TupleLoad NameLoad NameLoad orelse Assign NameStore Call AttributeLoad NameLoad attr TupleLoad NameLoad NameLoad keyword AttributeLoad NameLoad attr Assign SubscriptStore NameLoad ExtSlice Slice Slice Num SubscriptLoad NameLoad Index Num NameLoad For NameStore Call NameLoad Call NameLoad NameLoad body If UnaryOpNot AttributeLoad SubscriptLoad NameLoad Index NameLoad attr body Assign NameStore SubscriptLoad NameLoad ExtSlice Slice Slice SubscriptLoad NameLoad Index NameLoad SubscriptLoad NameLoad Index BinOpAdd NameLoad Num Expr Call AttributeLoad SubscriptLoad NameLoad Index NameLoad attr keyword NameLoad orelse Assign SubscriptStore NameLoad ExtSlice Slice Slice SubscriptLoad NameLoad Index NameLoad SubscriptLoad NameLoad Index BinOpAdd NameLoad Num AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad For NameStore NameLoad body Assign AttributeStore NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr Assign AttributeStore NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr AugAssignAdd AttributeStore NameLoad attr AttributeLoad NameLoad attr AugAssignAdd AttributeStore NameLoad attr AttributeLoad NameLoad attr Assign AttributeStore NameLoad attr Call NameLoad TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr AttributeLoad NameLoad attr AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index Str Expr Call AttributeLoad NameLoad attr If UnaryOpNot CompareEqEqEq Call NameLoad AttributeLoad NameLoad attr Call NameLoad AttributeLoad NameLoad attr Call NameLoad AttributeLoad NameLoad attr Call NameLoad AttributeLoad NameLoad attr body Raise Call NameLoad Str decorator_list FunctionDef arguments args NameParam defaults body Expr Str Pass decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return Call NameLoad NameLoad decorator_list FunctionDef arguments args NameParam defaults body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Num Assign NameStore IfExp CompareIs NameLoad NameLoad Str Call AttributeLoad NameLoad attr NameLoad Assign NameStore BinOpMod Str TupleLoad NameLoad Call NameLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr SubscriptLoad AttributeLoad NameLoad attr Index Num Return BinOpMod Str TupleLoad AttributeLoad AttributeLoad NameLoad attr attr NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad body Expr Str If UnaryOpNot AttributeLoad NameLoad attr body Raise Call NameLoad Str Assign NameStore Call AttributeLoad NameLoad attr NameLoad If BoolOpOr CompareNotEq AttributeLoad NameLoad attr Num CompareNotEq SubscriptLoad AttributeLoad NameLoad attr Index Num Num body Raise Call NameLoad Str Assign NameStore Call NameLoad NameLoad AttributeLoad NameLoad attr Assign NameStore Call NameLoad AttributeLoad NameLoad attr NameLoad If CompareEq Call NameLoad NameLoad Num body Raise Call NameLoad BinOpMod Str NameLoad Assign NameStore SubscriptLoad NameLoad Index Num Assign NameStore Call AttributeLoad SubscriptLoad NameLoad ExtSlice Slice Index Num attr NameLoad If BoolOpOr Call AttributeLoad NameLoad attr CompareLt NameLoad AttributeLoad NameLoad attr Call AttributeLoad NameLoad attr CompareGt NameLoad AttributeLoad NameLoad attr body Raise Call NameLoad BinOpMod Str TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr If UnaryOpNot Call NameLoad CompareEq NameLoad SubscriptLoad NameLoad ExtSlice Slice Index Num body Raise Call NameLoad Str AugAssignAdd SubscriptStore AttributeLoad NameLoad attr Index TupleLoad NameLoad BinOpSub NameLoad AttributeLoad NameLoad attr SubscriptLoad NameLoad ExtSlice Slice Index Num decorator_list FunctionDef arguments args NameParam NameParam defaults NameLoad body Expr Str If CompareIs NameLoad NameLoad body If CompareIn Str AttributeLoad NameLoad attr body Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Str orelse Assign NameStore Num Return Call NameLoad Call AttributeLoad NameLoad attr BinOpMult NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Str decorator_list decorator_list FunctionDef arguments args NameParam NameParam defaults body Expr Str If UnaryOpNot AttributeLoad NameLoad attr body Raise Call NameLoad BinOpAdd NameLoad Str decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults body Expr Str If CompareIs NameLoad NameLoad body If Call NameLoad NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword Str keyword NameLoad keyword NameLoad orelse Assign NameStore Call AttributeLoad NameLoad attr NameLoad keyword NameLoad Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults Num NameLoad body Expr Str Assign NameStore BinOpAdd Call AttributeLoad NameLoad attr NameLoad IfExp NameLoad NameLoad Num Return BinOpDiv NameLoad NameLoad decorator_list ClassDef bases body Expr Str FunctionDef arguments args NameParam defaults body Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad decorator_list FunctionDef arguments args NameParam defaults body Return BinOpAdd BinOpSub AttributeLoad NameLoad attr AttributeLoad NameLoad attr Num decorator_list NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults body Expr Str If CompareGt NameLoad Num body Assign TupleStore NameStore NameStore Call AttributeLoad NameLoad attr NameLoad Assign NameStore BinOpMod Str TupleLoad NameLoad NameLoad NameLoad orelse Assign NameStore NameLoad Expr Call AttributeLoad NameLoad attr BinOpMod Str NameLoad Assign TupleStore NameStore NameStore Call NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad Assign NameStore BinOpAdd AttributeLoad NameLoad attr NameLoad If CompareNotEq NameLoad Num body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr NameLoad If BoolOpAnd CompareGt NameLoad Num CompareIsNot NameLoad NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr NameLoad If CompareIsNot SubscriptLoad NameLoad Index Str NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str Expr Call NameLoad NameLoad AttributeLoad NameLoad attr BinOpSub NameLoad Num Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Assign NameStore NameLoad For NameStore Call NameLoad NameLoad NameLoad NameLoad body Assign NameStore BinOpAdd NameLoad NameLoad If CompareGtE NameLoad NameLoad body Assign NameStore BinOpAdd NameLoad Num If CompareIs NameLoad NameLoad body Assign TupleStore NameStore NameStore SubscriptLoad NameLoad ExtSlice Slice Slice NameLoad NameLoad orelse Assign TupleStore NameStore NameStore SubscriptLoad NameLoad ExtSlice Index NameLoad Slice NameLoad NameLoad If CompareIsNot NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad NameLoad If BoolOpAnd NameLoad CompareGt NameLoad NameLoad CompareLt Call NameLoad NameLoad NameLoad body Expr Call AttributeLoad NameLoad attr Str Break Expr Call AttributeLoad NameLoad attr Str If CompareIs NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr Expr Call NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr Assign NameStore BinOpSub NameLoad NameLoad If CompareGt NameLoad BinOpDiv NameLoad Num body Raise Call NameLoad Str If CompareGt NameLoad NameLoad body Expr Call NameLoad Str If CompareGtE NameLoad BinOpSub BinOpSub NameLoad NameLoad BinOpPow Num Num body Assign TupleStore NameStore NameStore Call NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad BinOpAdd NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad BinOpAdd NameLoad Num NameLoad Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Call AttributeLoad NameLoad attr NameLoad If CompareIsNot SubscriptLoad NameLoad Index Str NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str Expr Call NameLoad NameLoad AttributeLoad NameLoad attr NameLoad Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Break Assign NameStore NameLoad If CompareIsNot AttributeLoad NameLoad attr NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr AttributeLoad AttributeLoad NameLoad attr attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr BinOpAdd AttributeLoad AttributeLoad NameLoad attr attr AttributeLoad AttributeLoad NameLoad attr attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr ListComp Call AttributeLoad NameLoad attr Str Str comprehension NameStore AttributeLoad AttributeLoad NameLoad attr attr If CompareIsNot AttributeLoad AttributeLoad NameLoad attr attr NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr AttributeLoad AttributeLoad NameLoad attr attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call AttributeLoad NameLoad attr BinOpMod Str NameLoad If Call AttributeLoad NameLoad attr Str NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr orelse Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad Return TupleLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam defaults NameLoad AttributeLoad NameLoad attr NameLoad body Expr Str Assign NameStore Call NameLoad NameLoad NameLoad Assign NameStore Call NameLoad NameLoad Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Expr Call NameLoad NameLoad AttributeLoad NameLoad attr If CompareIsNot SubscriptLoad NameLoad Index Str NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str Assign NameStore ListLoad For NameStore Call NameLoad SubscriptLoad NameLoad Index Str body Assign SubscriptStore SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str BinOpAdd NameLoad Num If CompareIs NameLoad NameLoad body Assign SubscriptStore SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str Num Expr Call AttributeLoad NameLoad attr BinOpMult SubscriptLoad SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str SubscriptLoad SubscriptLoad SubscriptLoad NameLoad Index Str Index NameLoad Index Str Expr Call NameLoad NameLoad NameLoad keyword NameLoad keyword NameLoad If Call AttributeLoad NameLoad attr Str NameLoad body Expr Call NameLoad NameLoad AttributeLoad NameLoad attr orelse Expr Call NameLoad NameLoad AttributeLoad NameLoad attr Return TupleLoad NameLoad NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam defaults body Expr Str If CompareNotEq SubscriptLoad AttributeLoad NameLoad attr Index Num Call NameLoad NameLoad body Raise Call NameLoad Str If CompareNotIn NameLoad ListLoad Str Str Str Str body Raise Call NameLoad Str If Call AttributeLoad NameLoad attr NameLoad body If CompareEq NameLoad Str body Assign NameStore NameLoad orelse If CompareEq NameLoad Str body Assign NameStore NameLoad orelse If CompareEq NameLoad Str body Assign NameStore NameLoad orelse Assign NameStore NameLoad orelse If CompareEq NameLoad Str body Assign NameStore NameLoad orelse If CompareEq NameLoad Str body Assign NameStore NameLoad orelse Raise Call NameLoad Str If CompareIsNot NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr BinOpDiv NameLoad SubscriptLoad Call AttributeLoad NameLoad attr NameLoad ExtSlice Slice Index NameLoad NameLoad orelse Assign NameStore BinOpDiv NameLoad SubscriptLoad Call AttributeLoad NameLoad attr NameLoad ExtSlice Slice Index NameLoad Expr Call NameLoad NameLoad AttributeLoad NameLoad attr NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad NameLoad body Expr Str ImportFrom alias Assign NameStore IfExp CompareIs NameLoad NameLoad SubscriptLoad AttributeLoad NameLoad attr Index Num NameLoad Assign NameStore SubscriptLoad AttributeLoad NameLoad attr Index Num Assign NameStore SubscriptLoad Call NameLoad NameLoad keyword NameLoad Slice NameLoad If CompareIs NameLoad NameLoad body Assign NameStore Call AttributeLoad NameLoad attr NameLoad Return NameLoad decorator_list FunctionDef arguments args NameParam defaults body Expr Str For NameStore Call NameLoad Num Call NameLoad NameLoad body If UnaryOpNot Call NameLoad SubscriptLoad NameLoad Index NameLoad Call NameLoad SubscriptLoad NameLoad Index Num body Raise Call NameLoad BinOpMod Str NameLoad If UnaryOpNot CompareEq SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str body Raise Call NameLoad BinOpMod Str NameLoad If UnaryOpNot CompareEq SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str body Raise Call NameLoad BinOpMod Str NameLoad If UnaryOpNot CompareEq SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str body Raise Call NameLoad BinOpMod Str NameLoad If UnaryOpNot CompareEq Call NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str Call NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str body Raise Call NameLoad BinOpMod Str NameLoad If UnaryOpNot Call NameLoad CompareEq AttributeLoad SubscriptLoad NameLoad Index NameLoad attr AttributeLoad SubscriptLoad NameLoad Index Num attr body Raise Call NameLoad BinOpMod Str NameLoad If CompareNotEq Call NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str Call NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str body Raise Call NameLoad Str If UnaryOpNot Call NameLoad GeneratorExp Call NameLoad NameLoad NameLoad comprehension TupleStore NameStore NameStore Call NameLoad SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index Num attr Index Str SubscriptLoad AttributeLoad SubscriptLoad NameLoad Index NameLoad attr Index Str body Raise Call NameLoad Str If UnaryOpNot Call NameLoad GeneratorExp CompareEq AttributeLoad NameLoad attr AttributeLoad SubscriptLoad NameLoad Index Num attr comprehension NameStore NameLoad body Expr Call NameLoad Str Assign AttributeStore SubscriptLoad NameLoad Index Num attr Str decorator_list FunctionDef arguments args NameParam NameParam NameParam defaults NameLoad NameLoad body Expr Str If CompareIsNot NameLoad NameLoad body If CompareNotEq Call NameLoad NameLoad Call NameLoad NameLoad body Raise Call NameLoad Str Assign TupleStore NameStore NameStore Call NameLoad ListComp TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr comprehension NameStore NameLoad Assign NameStore Call NameLoad NameLoad NameLoad NameLoad Expr Call AttributeLoad SubscriptLoad NameLoad Index Num attr SubscriptLoad NameLoad Slice Num NameLoad If CompareIs NameLoad NameLoad body Return SubscriptLoad NameLoad Index Num orelse Return TupleLoad SubscriptLoad NameLoad Index Num NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam defaults NameLoad NameLoad body Expr Str If CompareIsNot NameLoad NameLoad body If UnaryOpNot Call NameLoad NameLoad TupleLoad NameLoad NameLoad body Assign NameStore BinOpMod Str Call NameLoad NameLoad Raise Call NameLoad NameLoad If CompareIsNot NameLoad NameLoad body If Call NameLoad NameLoad NameLoad body Assign NameStore Call NameLoad NameLoad keyword NameLoad Expr Call NameLoad NameLoad NameLoad keyword NameLoad Assign NameStore ListLoad Assign NameStore TupleLoad AttributeLoad NameLoad attr AttributeLoad NameLoad attr AttributeLoad NameLoad attr For NameStore SubscriptLoad NameLoad Index Str body If UnaryOpNot CompareIn SubscriptLoad NameLoad Index Str NameLoad body If CompareEq AttributeLoad Call AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str attr Num body Expr Call AttributeLoad NameLoad attr SubscriptLoad NameLoad Index Str If NameLoad body Raise Call NameLoad BinOpMod Str Call NameLoad NameLoad decorator_list
N/A N/A copy copy deepcopy N/A os N/A os.path op N/A numpy np scipy linalg constants FIFF pick pick_types channel_type pick_channels pick_info pick _pick_data_channels _pick_data_or_ica meas_info write_meas_info proj setup_proj activate_proj _proj_equal ProjMixin channels.channels ContainsMixin UpdateChannelsMixin SetChannelsMixin InterpolationMixin channels.montage read_montage _set_montage Montage compensator set_current_comp write start_file end_file start_block end_block write_dau_pack16 write_float write_double write_complex64 write_complex128 write_int write_id write_string write_name_list _get_split_size filter low_pass_filter high_pass_filter band_pass_filter notch_filter band_stop_filter resample _resample_stim_channels fixes in1d parallel parallel_func utils _check_fname _check_pandas_installed _check_pandas_index_arguments _check_copy_dep check_fname _get_stim_channel object_hash logger verbose _time_mask warn deprecated viz plot_raw plot_raw_psd plot_raw_psd_topo defaults _handle_default externals.six string_types event find_events concatenate_events annotations _combine_annotations _onset_to_seconds ToDataFrameMixin N/A object N/A N/A Class to add to_data_frame capabilities to certain classes. _get_check_picks N/A N/A self picks picks_check N/A N/A N/A N/A picks None N/A N/A picks N/A list N/A range N/A N/A self info N/A nchan N/A N/A N/A N/A N/A N/A in1d picks N/A N/A np arange N/A len picks_check all N/A N/A N/A ValueError At least one picked channel is not present in this object instance. N/A picks N/A to_data_frame N/A N/A self picks index scale_time scalings copy start stop N/A None None 1000.0 None True None None N/A N/A Export data in tabular structure as a pandas DataFrame.

        Columns and indices will depend on the object being converted.
        Generally this will include as much relevant information as
        possible for the data type being converted. This makes it easy
        to convert data for use in packages that utilize dataframes,
        such as statsmodels or seaborn.

        Parameters
        ----------
        picks : array-like of int | None
            If None only MEG and EEG channels are kept
            otherwise the channels indices in picks are kept.
        index : tuple of str | None
            Column to be used as index for the data. Valid string options
            are 'epoch', 'time' and 'condition'. If None, all three info
            columns will be included in the table as categorial data.
        scale_time : float
            Scaling to be applied to time units.
        scalings : dict | None
            Scaling to be applied to the channels picked. If None, defaults to
            ``scalings=dict(eeg=1e6, grad=1e13, mag=1e15, misc=1.0)``.
        copy : bool
            If true, data will be copied. Else data may be modified in place.
        start : int | None
            If it is a Raw object, this defines a starting index for creating
            the dataframe from a slice. The times will be interpolated from the
            index and the sampling rate of the signal.
        stop : int | None
            If it is a Raw object, this defines a stop index for creating
            the dataframe from a slice. The times will be interpolated from the
            index and the sampling rate of the signal.

        Returns
        -------
        df : instance of pandas.core.DataFrame
            A dataframe suitable for usage with other
            statistical/plotting/analysis packages. Column/Index values will
            depend on the object type being converted, but should be
            human-readable.
         epochs _BaseEpochs evoked Evoked source_estimate _BaseSourceEstimate N/A pd N/A _check_pandas_installed N/A mindex N/A list N/A N/A isinstance self _BaseSourceEstimate N/A N/A N/A N/A self subject None N/A N/A default_index N/A time N/A N/A default_index N/A subject time N/A data N/A N/A self data T N/A times N/A self times N/A shape N/A data shape N/A N/A N/A mindex append N/A subject N/A N/A np repeat N/A self subject N/A shape N/A 0 N/A N/A isinstance N/A self vertices list N/A N/A col_names N/A i N/A e N/A N/A N/A N/A {0} {1} format N/A N/A ii 1 LH RH vert N/A vert vertno N/A N/A ii vertno N/A enumerate N/A self vertices N/A i e N/A N/A col_names N/A N/A N/A VOL {0} format vert N/A vert N/A self vertices N/A N/A N/A isinstance self N/A _BaseEpochs _BaseRaw Evoked N/A N/A picks N/A N/A self _get_check_picks picks N/A self ch_names N/A N/A isinstance self _BaseEpochs N/A N/A default_index N/A condition epoch time N/A data N/A N/A N/A self get_data N/A N/A N/A picks N/A N/A times N/A self times N/A N/A n_epochs n_picks n_times N/A data shape N/A data N/A N/A N/A np hstack data T N/A times N/A N/A np tile times n_epochs N/A id_swapped N/A dict N/A N/A v k N/A N/A k v N/A N/A N/A self event_id items N/A names N/A N/A id_swapped N/A k N/A k N/A N/A self events N/A N/A N/A 2 N/A N/A N/A mindex append N/A condition N/A N/A np repeat names n_times N/A N/A N/A mindex append N/A epoch N/A N/A np repeat N/A N/A np arange n_epochs n_times N/A col_names N/A N/A N/A self ch_names N/A k N/A k picks N/A N/A N/A isinstance self N/A _BaseRaw Evoked N/A N/A default_index N/A time N/A N/A isinstance self _BaseRaw N/A N/A N/A data times N/A self N/A N/A picks N/A start stop N/A N/A N/A isinstance self Evoked N/A N/A data N/A N/A self data N/A N/A picks N/A N/A times N/A self times N/A N/A n_picks n_times N/A data shape N/A data N/A data T N/A col_names N/A N/A N/A self ch_names N/A k N/A k picks N/A types N/A N/A channel_type N/A self info idx N/A idx picks N/A n_channel_types 0 N/A ch_types_used N/A N/A scalings N/A _handle_default scalings scalings N/A t N/A N/A scalings keys N/A N/A N/A t types N/A N/A n_channel_types 1 N/A N/A N/A ch_types_used append t N/A t ch_types_used N/A N/A scaling N/A scalings N/A t N/A idx N/A N/A picks N/A i N/A i N/A range N/A len picks N/A N/A types N/A i t N/A N/A N/A len idx 0 N/A N/A N/A data N/A N/A N/A idx scaling N/A N/A N/A NameError N/A Object must be one of Raw, Epochs, Evoked,  or  N/A N/A SourceEstimate. This is {0} format N/A type self N/A times N/A N/A np round N/A times scale_time N/A N/A N/A mindex append N/A time times N/A N/A index None N/A N/A N/A _check_pandas_index_arguments index default_index N/A N/A index default_index N/A N/A copy True N/A N/A data N/A N/A data copy N/A N/A all N/A N/A N/A len mdx N/A len N/A mindex N/A 0 N/A mdx mindex N/A df N/A N/A pd DataFrame data columns col_names N/A N/A i N/A k v N/A enumerate mindex N/A N/A N/A N/A df insert i k v N/A N/A index None N/A N/A N/A time index N/A N/A N/A N/A logger info Converting time column to int64... N/A N/A df N/A time N/A N/A N/A df N/A time astype N/A np int64 N/A N/A N/A df set_index index inplace True N/A N/A all N/A N/A i default_index N/A i index N/A N/A N/A N/A df columns name signal N/A df N/A N/A TimeMixin N/A object N/A N/A Class to add sfreq and time_as_index capabilities to certain classes. time_as_index N/A N/A self times use_rounding N/A False N/A N/A Convert time to indices

        Parameters
        ----------
        times : list-like | float | int
            List of numbers or a number representing points in time.
        use_rounding : boolean
            If True, use rounding (instead of truncation) when converting
            times to indices. This can help avoid non-unique indices.

        Returns
        -------
        index : ndarray
            Indices corresponding to the times supplied.
         source_estimate _BaseSourceEstimate N/A N/A isinstance self _BaseSourceEstimate N/A N/A sfreq N/A 1.0 N/A self tstep N/A N/A sfreq N/A N/A self info N/A sfreq N/A index N/A N/A N/A N/A np atleast_1d times N/A N/A self times N/A 0 sfreq N/A use_rounding N/A N/A index N/A N/A np round index N/A N/A N/A index astype int N/A N/A _check_fun N/A N/A fun d N/A args kwargs N/A N/A want_shape N/A d shape N/A d N/A fun d args kwargs N/A N/A N/A isinstance d N/A np ndarray N/A N/A N/A TypeError Return value must be an ndarray N/A N/A N/A d shape want_shape N/A N/A N/A ValueError N/A Return data must have shape %s not %s N/A want_shape N/A d shape N/A d N/A _BaseRaw N/A ProjMixin ContainsMixin UpdateChannelsMixin SetChannelsMixin InterpolationMixin ToDataFrameMixin TimeMixin N/A N/A Base class for Raw data

    Subclasses must provide the following methods:

        * _read_segment_file(self, data, idx, fi, start, stop, cals, mult)
          (only needed for types that support on-demand disk reads)

    The `_BaseRaw._raw_extras` list can contain whatever data is necessary for
    such on-demand reads. For `RawFIF` this means a list of variables formerly
    known as ``_rawdirs``.
     __init__ N/A N/A self info preload first_samps last_samps filenames raw_extras comp orig_comp_grade orig_format dtype verbose N/A False N/A 0 None N/A None N/A None None None double N/A np float64 None N/A N/A N/A isinstance preload N/A np ndarray N/A N/A N/A N/A preload dtype N/A N/A np float64 N/A np complex128 N/A N/A N/A RuntimeError N/A datatype must be float64 or complex128, not %s N/A preload dtype N/A N/A N/A preload dtype dtype N/A N/A N/A ValueError preload and dtype must match N/A N/A self _data preload N/A N/A self preload True N/A N/A N/A len first_samps 1 N/A last_samps N/A N/A N/A N/A first_samps N/A 0 N/A N/A N/A self _data shape N/A 1 1 N/A load_from_disk False N/A N/A N/A last_samps None N/A N/A N/A ValueError last_samps must be given unless preload is an ndarray N/A N/A preload False N/A N/A N/A self preload False N/A load_from_disk False N/A N/A N/A N/A preload True N/A N/A isinstance preload string_types N/A N/A N/A ValueError N/A bad preload: %s preload N/A N/A load_from_disk True N/A N/A self _last_samps N/A N/A np array last_samps N/A N/A self _first_samps N/A N/A np array first_samps N/A N/A N/A info _check_consistency N/A N/A self info info N/A N/A N/A N/A info get buffer_size_sec None None N/A N/A N/A RuntimeError Reader error, notify mne-python developers N/A cals N/A N/A np empty N/A info N/A nchan N/A k N/A range N/A info N/A nchan N/A N/A N/A cals N/A k N/A N/A N/A N/A info N/A chs N/A k N/A range N/A N/A N/A info N/A chs N/A k N/A cal N/A N/A self verbose verbose N/A N/A self _cals cals N/A N/A self _raw_extras N/A list raw_extras N/A N/A self comp comp N/A N/A self _orig_comp_grade orig_comp_grade N/A N/A self _filenames N/A list filenames N/A N/A self orig_format orig_format N/A N/A self _projectors N/A list N/A N/A self _projector None N/A N/A self _dtype_ dtype N/A N/A self annotations None N/A N/A N/A self _update_times N/A load_from_disk N/A N/A N/A N/A self _preload_data preload N/A verbose _dtype N/A N/A self N/A N/A N/A dtype for loading data (property so subclasses can override) N/A N/A self _dtype_ N/A property _read_segment N/A N/A self start stop sel data_buffer projector verbose N/A 0 None None None None None N/A N/A Read a chunk of raw data

        Parameters
        ----------
        start : int, (optional)
            first sample to include (first is 0). If omitted, defaults to the
            first sample in data.
        stop : int, (optional)
            First sample to not include.
            If omitted, data is included to the end.
        sel : array, optional
            Indices of channels to select.
        data_buffer : array or str, optional
            numpy array to fill with data read, must have the correct shape.
            If str, a np.memmap with the correct data type will be used
            to store the data.
        projector : array
            SSP operator to apply to the data.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).

        Returns
        -------
        data : array, [channels x samples]
           the data matrix (channels x samples).
        times : array, [samples]
            returns the time values corresponding to the samples.
         N/A start N/A int start N/A stop N/A N/A stop None N/A self n_times N/A min N/A N/A int stop N/A self n_times N/A N/A start stop N/A N/A N/A ValueError No data in this range N/A n_sel_channels N/A N/A sel None N/A N/A self info N/A nchan N/A len sel N/A N/A N/A sel None N/A N/A len sel 1 N/A N/A np all N/A N/A N/A np diff sel 1 N/A N/A sel N/A slice N/A sel N/A 0 N/A N/A sel N/A -1 1 N/A idx N/A N/A sel None N/A slice None None None sel N/A data_shape N/A n_sel_channels N/A stop start N/A dtype N/A self _dtype N/A N/A isinstance data_buffer N/A np ndarray N/A N/A N/A N/A data_buffer shape data_shape N/A N/A N/A ValueError N/A data_buffer has incorrect shape: %s != %s N/A N/A data_buffer shape data_shape N/A data data_buffer N/A N/A N/A isinstance data_buffer string_types N/A N/A data N/A N/A np memmap data_buffer mode w+ dtype dtype shape data_shape N/A N/A data N/A N/A np zeros data_shape dtype dtype N/A cumul_lens N/A N/A np concatenate N/A N/A 0 N/A N/A np array N/A self _raw_lengths dtype int N/A cumul_lens N/A N/A np cumsum cumul_lens N/A files_used N/A N/A np logical_and N/A N/A np less start N/A cumul_lens N/A 1 N/A N/A np greater_equal N/A stop 1 N/A cumul_lens N/A -1 N/A cals N/A N/A N/A N/A self _cals ravel N/A N/A N/A np newaxis N/A N/A N/A N/A self comp None N/A N/A N/A projector None N/A N/A mult N/A N/A self comp cals N/A mult N/A N/A np dot N/A projector N/A idx mult N/A N/A mult N/A N/A N/A self comp N/A idx cals N/A N/A N/A projector None N/A N/A mult N/A N/A projector N/A idx cals N/A N/A mult None N/A cals N/A N/A cals T N/A idx N/A offset 0 N/A fi N/A N/A N/A np nonzero files_used N/A 0 N/A N/A start_file N/A N/A self _first_samps N/A fi N/A N/A offset 0 N/A N/A start_file N/A start N/A cumul_lens N/A fi N/A stop_file N/A N/A np min N/A N/A N/A stop N/A cumul_lens N/A fi N/A N/A self _first_samps N/A fi N/A N/A N/A self _last_samps N/A fi 1 N/A N/A N/A start_file N/A N/A self _first_samps N/A fi N/A stop_file start_file N/A N/A N/A ValueError Bad array indexing, could be a bug N/A n_read N/A stop_file start_file N/A this_sl N/A slice offset N/A offset n_read N/A N/A N/A self _read_segment_file N/A data N/A N/A N/A this_sl idx fi N/A int start_file N/A int stop_file cals mult N/A offset n_read N/A data N/A _read_segment_file N/A N/A self data idx fi start stop cals mult N/A N/A N/A Read a segment of data from a file

        Only needs to be implemented for readers that support
        ``preload=False``.

        Parameters
        ----------
        data : ndarray, shape (len(idx), stop - start + 1)
            The data array. Should be modified inplace.
        idx : ndarray | slice
            The requested channel indices.
        fi : int
            The file index that must be read from.
        start : int
            The start sample in the given file.
        stop : int
            The stop sample in the given file (inclusive).
        cals : ndarray, shape (len(idx), 1)
            Channel calibrations (already sub-indexed).
        mult : ndarray, shape (len(idx), len(info['chs']) | None
            The compensation + projection + cals matrix, if applicable.
         N/A NotImplementedError N/A _check_bad_segment N/A N/A self start stop picks reject_by_annotation N/A False N/A N/A Function for checking if data segment is bad.

        If the slice is good, returns the data in desired range.
        If rejected based on annotation, returns description of the
        bad segment as a string.

        Parameters
        ----------
        start : int
            First sample of the slice.
        stop : int
            End of the slice.
        picks : array of int
            Channel picks.
        reject_by_annotation : bool
            Whether to perform rejection based on annotations.
            False by default.

        Returns
        -------
        data : array | str
            Data in the desired range (good segment) or description of the bad
            segment.
         N/A N/A start 0 N/A N/A None N/A N/A reject_by_annotation N/A N/A self annotations None N/A N/A annot N/A self annotations N/A sfreq N/A N/A self info N/A sfreq N/A onset N/A _onset_to_seconds self N/A annot onset N/A overlaps N/A N/A np where N/A onset N/A stop sfreq N/A overlaps N/A N/A np where N/A N/A N/A onset N/A overlaps N/A N/A annot duration N/A overlaps N/A start sfreq N/A descr N/A N/A annot description N/A overlaps N/A N/A N/A N/A N/A N/A descr lower startswith bad N/A N/A descr N/A N/A N/A self N/A N/A picks N/A start stop N/A 0 N/A load_data N/A N/A self verbose N/A None N/A N/A Load raw data

        Parameters
        ----------
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).

        Returns
        -------
        raw : instance of Raw
            The raw object with data.

        Notes
        -----
        This function will load raw data if it was not already preloaded.
        If data were already preloaded, it will do nothing.

        .. versionadded:: 0.10.0
         N/A N/A N/A self preload N/A N/A N/A N/A self _preload_data True N/A self N/A verbose _preload_data N/A N/A self preload verbose N/A None N/A N/A This function actually preloads the data N/A data_buffer N/A N/A isinstance preload N/A string_types N/A np ndarray preload None N/A N/A N/A logger info N/A Reading %d ... %d  =  %9.3f ... %9.3f secs... N/A 0 N/A N/A len N/A self times 1 0.0 N/A N/A self times N/A -1 N/A N/A self _data N/A N/A self _read_segment data_buffer data_buffer N/A N/A N/A len N/A self _data N/A N/A self info N/A nchan N/A N/A self preload True N/A N/A N/A self close N/A verbose _update_times N/A N/A self N/A N/A N/A Helper to update times N/A N/A self _times N/A N/A N/A np arange N/A self n_times N/A float N/A N/A self info N/A sfreq N/A N/A N/A N/A self _times flags writeable False N/A first_samp N/A N/A self N/A N/A N/A N/A N/A self _first_samps N/A 0 N/A property last_samp N/A N/A self N/A N/A N/A N/A N/A N/A self first_samp N/A sum N/A self _raw_lengths 1 N/A property _raw_lengths N/A N/A self N/A N/A N/A N/A N/A N/A l f 1 N/A N/A f l N/A zip N/A self _first_samps N/A self _last_samps N/A property __del__ N/A N/A self N/A N/A N/A N/A N/A hasattr self _data N/A hasattr N/A self _data filename N/A N/A filename N/A N/A self _data filename N/A N/A self _data N/A N/A N/A N/A N/A os remove filename N/A N/A N/A OSError N/A N/A N/A __enter__ N/A N/A self N/A N/A N/A  Entering with block  N/A self N/A __exit__ N/A N/A self exception_type exception_val trace N/A N/A N/A  Exiting with block  N/A N/A N/A N/A N/A self close N/A N/A N/A N/A N/A exception_type exception_val trace N/A __hash__ N/A N/A self N/A N/A N/A N/A N/A self preload N/A N/A N/A RuntimeError Cannot hash raw unless preloaded N/A N/A object_hash N/A dict info N/A self info data N/A self _data N/A _parse_get_set_params N/A N/A self item N/A N/A N/A N/A N/A isinstance item tuple N/A N/A item N/A item N/A slice None None None N/A N/A N/A len item 2 N/A N/A N/A RuntimeError Unable to access raw data (need both channels and time) N/A N/A isinstance N/A item N/A 0 slice N/A N/A start N/A N/A N/A N/A item N/A 0 start None N/A N/A item N/A 0 start 0 N/A nchan N/A N/A self info N/A nchan N/A N/A start 0 N/A N/A start nchan N/A N/A start 0 N/A N/A N/A ValueError N/A start must be >= -%s nchan N/A stop N/A N/A N/A N/A item N/A 0 stop None N/A N/A item N/A 0 stop nchan N/A step N/A N/A N/A N/A item N/A 0 step None N/A N/A item N/A 0 step 1 N/A sel N/A list N/A range start stop step N/A N/A sel N/A item N/A 0 N/A N/A isinstance N/A item N/A 1 slice N/A N/A time_slice N/A item N/A 1 N/A N/A start stop step N/A N/A time_slice start N/A time_slice stop N/A time_slice step N/A N/A item1 N/A item N/A 1 N/A N/A N/A N/A N/A N/A np array N/A item N/A 1 dtype kind i N/A N/A item1 N/A int item1 N/A N/A isinstance item1 N/A int N/A np integer N/A N/A N/A start stop step N/A item1 N/A item1 1 1 N/A N/A N/A ValueError Must pass int or slice to __getitem__ N/A N/A start None N/A N/A start 0 N/A N/A N/A step None N/A step 1 N/A N/A N/A ValueError N/A step needs to be 1 : %d given step N/A N/A isinstance sel N/A int N/A np integer N/A N/A sel N/A N/A np array N/A sel N/A N/A N/A sel None N/A N/A len sel 0 N/A N/A N/A ValueError Empty channel list N/A N/A sel start stop N/A __getitem__ N/A N/A self item N/A N/A N/A getting raw data content with python slicing N/A N/A sel start stop N/A N/A self _parse_get_set_params item N/A N/A self preload N/A N/A data N/A N/A self _data N/A N/A sel N/A start stop N/A N/A data N/A N/A self _read_segment start start stop stop sel sel projector N/A self _projector verbose N/A self verbose N/A times N/A N/A self times N/A start stop N/A N/A data times N/A __setitem__ N/A N/A self item value N/A N/A N/A setting raw data content with python slicing N/A N/A _check_preload self Modifying data of Raw N/A N/A sel start stop N/A N/A self _parse_get_set_params item N/A N/A N/A self _data N/A N/A sel N/A start stop value N/A anonymize N/A N/A self N/A N/A N/A Anonymize data

        This function will remove ``raw.info['subject_info']`` if it exists.

        Returns
        -------
        raw : instance of Raw
            The raw object. Operates in place.
         N/A N/A N/A N/A self info _anonymize N/A self N/A apply_function N/A N/A self fun picks dtype n_jobs N/A args kwargs N/A N/A  Apply a function to a subset of channels.

        The function "fun" is applied to the channels defined in "picks". The
        data of the Raw object is modified inplace. If the function returns
        a different data type (e.g. numpy.complex) it must be specified using
        the dtype parameter, which causes the data type used for representing
        the raw data to change.

        The Raw object has to have the data loaded e.g. with ``preload=True``
        or ``self.load_data()``.

        .. note:: If n_jobs > 1, more memory is required as
                  ``len(picks) * n_times`` additional time points need to
                  be temporaily stored in memory.

        .. note:: If the data type changes (dtype != None), more memory is
                  required since the original and the converted data needs
                  to be stored in memory.

        Parameters
        ----------
        fun : function
            A function to be applied to the channels. The first argument of
            fun has to be a timeseries (numpy.ndarray). The function must
            return an numpy.ndarray with the same size as the input.
        picks : array-like of int | None
            Indices of channels to apply the function to. If None, all
            M-EEG channels are used.
        dtype : numpy.dtype
            Data type to use for raw data after applying the function. If None
            the data type is not modified.
        n_jobs: int
            Number of jobs to run in parallel.
        *args :
            Additional positional arguments to pass to fun (first pos. argument
            of fun is the timeseries of a channel).
        **kwargs :
            Keyword arguments to pass to fun. Note that if "verbose" is passed
            as a member of ``kwargs``, it will be consumed and will override
            the default mne-python verbose level (see mne.verbose).
         N/A N/A _check_preload self raw.apply_function N/A N/A picks None N/A N/A picks N/A _pick_data_channels N/A self info exclude N/A with_ref_meg False N/A N/A N/A callable fun N/A N/A N/A ValueError fun needs to be a function N/A data_in N/A self _data N/A N/A N/A dtype None N/A dtype N/A N/A self _data dtype N/A N/A N/A self _data N/A N/A N/A self _data astype dtype N/A N/A n_jobs 1 N/A N/A idx picks N/A N/A N/A N/A self _data N/A N/A idx N/A N/A _check_fun fun N/A data_in N/A N/A idx N/A args kwargs N/A N/A N/A parallel p_fun _ N/A parallel_func _check_fun n_jobs N/A data_picks_new N/A parallel N/A N/A p_fun fun N/A data_in N/A p args kwargs N/A p picks N/A N/A pp p N/A enumerate picks N/A N/A N/A N/A self _data N/A N/A p N/A N/A data_picks_new N/A pp N/A verbose apply_hilbert N/A N/A self picks envelope n_jobs n_fft verbose N/A False 1 None None N/A N/A  Compute analytic signal or envelope for a subset of channels.

        If envelope=False, the analytic signal for the channels defined in
        "picks" is computed and the data of the Raw object is converted to
        a complex representation (the analytic signal is complex valued).

        If envelope=True, the absolute value of the analytic signal for the
        channels defined in "picks" is computed, resulting in the envelope
        signal.

        .. warning: Do not use ``envelope=True`` if you intend to compute
                    an inverse solution from the raw data. If you want to
                    compute the envelope in source space, use
                    ``envelope=False`` and compute the envelope after the
                    inverse solution has been obtained.

        .. note:: If envelope=False, more memory is required since the
                  original raw data as well as the analytic signal have
                  temporarily to be stored in memory.

        .. note:: If n_jobs > 1, more memory is required as
                  ``len(picks) * n_times`` additional time points need to
                  be temporaily stored in memory.

        Parameters
        ----------
        picks : array-like of int
            Indices of channels to apply the function to.
        envelope : bool (default: False)
            Compute the envelope signal of each channel.
        n_jobs: int
            Number of jobs to run in parallel.
        n_fft : int > self.n_times | None
            Points to use in the FFT for Hilbert transformation. The signal
            will be padded with zeros before computing Hilbert, then cut back
            to original length. If None, n == self.n_times.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).
            Defaults to self.verbose.

        Notes
        -----
        The analytic signal "x_a(t)" of "x(t)" is::

            x_a = F^{-1}(F(x) 2U) = x + i y

        where "F" is the Fourier transform, "U" the unit step function,
        and "y" the Hilbert transform of "x". One usage of the analytic
        signal is the computation of the envelope signal, which is given by
        "e(t) = abs(x_a(t))". Due to the linearity of Hilbert transform and the
        MNE inverse solution, the enevlope in source space can be obtained
        by computing the analytic signal in sensor space, applying the MNE
        inverse, and computing the envelope in source space.

        Also note that the n_fft parameter will allow you to pad the signal
        with zeros before performing the Hilbert transform. This padding
        is cut off, but it may result in a slightly different result
        (particularly around the edges). Use at your own risk.
         N/A n_fft N/A N/A n_fft None N/A self n_times n_fft N/A N/A n_fft N/A self n_times N/A N/A N/A ValueError n_fft must be greater than n_times N/A N/A envelope True N/A N/A N/A N/A self apply_function _my_hilbert picks None n_jobs n_fft envelope envelope N/A N/A N/A N/A self apply_function _my_hilbert picks N/A np complex64 n_jobs n_fft envelope envelope N/A verbose filter N/A N/A self l_freq h_freq picks filter_length l_trans_bandwidth h_trans_bandwidth n_jobs method iir_params verbose N/A None 10s 0.5 0.5 1 fft None None N/A N/A Filter a subset of channels.

        Applies a zero-phase low-pass, high-pass, band-pass, or band-stop
        filter to the channels selected by ``picks``. By default the data
        of the Raw object is modified inplace.

        The Raw object has to have the data loaded e.g. with ``preload=True``
        or ``self.load_data()``.

        ``l_freq`` and ``h_freq`` are the frequencies below which and above
        which, respectively, to filter out of the data. Thus the uses are:

            * ``l_freq < h_freq``: band-pass filter
            * ``l_freq > h_freq``: band-stop filter
            * ``l_freq is not None and h_freq is None``: high-pass filter
            * ``l_freq is None and h_freq is not None``: low-pass filter

        ``self.info['lowpass']`` and ``self.info['highpass']`` are only
        updated with picks=None.

        .. note:: If n_jobs > 1, more memory is required as
                  ``len(picks) * n_times`` additional time points need to
                  be temporaily stored in memory.

        Parameters
        ----------
        l_freq : float | None
            Low cut-off frequency in Hz. If None the data are only low-passed.
        h_freq : float | None
            High cut-off frequency in Hz. If None the data are only
            high-passed.
        picks : array-like of int | None
            Indices of channels to filter. If None only the data (MEG/EEG)
            channels will be filtered.
        filter_length : str (Default: '10s') | int | None
            Length of the filter to use. If None or "len(x) < filter_length",
            the filter length used is len(x). Otherwise, if int, overlap-add
            filtering with a filter of the specified length in samples) is
            used (faster for long signals). If str, a human-readable time in
            units of "s" or "ms" (e.g., "10s" or "5500ms") will be converted
            to the shortest power-of-two length at least that duration.
            Not used for 'iir' filters.
        l_trans_bandwidth : float
            Width of the transition band at the low cut-off frequency in Hz
            (high pass or cutoff 1 in bandpass). Not used if 'order' is
            specified in iir_params.
        h_trans_bandwidth : float
            Width of the transition band at the high cut-off frequency in Hz
            (low pass or cutoff 2 in bandpass). Not used if 'order' is
            specified in iir_params.
        n_jobs : int | str
            Number of jobs to run in parallel. Can be 'cuda' if scikits.cuda
            is installed properly, CUDA is initialized, and method='fft'.
        method : str
            'fft' will use overlap-add FIR filtering, 'iir' will use IIR
            forward-backward filtering (via filtfilt).
        iir_params : dict | None
            Dictionary of parameters to use for IIR filtering.
            See mne.filter.construct_iir_filter for details. If iir_params
            is None and method="iir", 4th order Butterworth will be used.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).
            Defaults to self.verbose.

        Returns
        -------
        raw : instance of Raw
            The raw instance with filtered data.

        See Also
        --------
        mne.Epochs.savgol_filter
        mne.io.Raw.notch_filter
        mne.io.Raw.resample
         N/A fs N/A float N/A N/A self info N/A sfreq N/A N/A l_freq 0 N/A N/A l_freq None N/A N/A N/A h_freq None N/A h_freq N/A fs 2.0 N/A N/A h_freq None N/A N/A N/A l_freq None N/A N/A isinstance l_freq float N/A N/A l_freq N/A float l_freq N/A N/A N/A h_freq None N/A N/A isinstance h_freq float N/A N/A h_freq N/A float h_freq N/A N/A _check_preload self raw.filter N/A N/A picks None N/A N/A picks N/A _pick_data_or_ica N/A self info N/A N/A N/A len picks 1 N/A N/A N/A RuntimeError Could not find any valid channels for your Raw object. Please contact the MNE-Python developers. N/A N/A h_freq None N/A N/A N/A N/A N/A l_freq None N/A l_freq h_freq N/A N/A N/A N/A self info N/A lowpass None N/A h_freq N/A N/A self info N/A lowpass N/A N/A N/A N/A self info N/A lowpass h_freq N/A N/A l_freq None N/A N/A N/A N/A N/A h_freq None N/A l_freq h_freq N/A N/A N/A N/A self info N/A highpass None N/A l_freq N/A N/A self info N/A highpass N/A N/A N/A N/A self info N/A highpass l_freq N/A N/A N/A N/A h_freq None N/A l_freq None N/A N/A N/A N/A logger info Filtering a subset of channels. The highpass and lowpass values in the measurement info will not be updated. N/A N/A N/A l_freq None N/A h_freq None N/A N/A N/A N/A logger info N/A Low-pass filtering at %0.2g Hz h_freq N/A N/A low_pass_filter N/A self _data fs h_freq filter_length filter_length trans_bandwidth h_trans_bandwidth method method iir_params iir_params picks picks n_jobs n_jobs copy False N/A N/A N/A l_freq None N/A h_freq None N/A N/A N/A N/A logger info N/A High-pass filtering at %0.2g Hz l_freq N/A N/A high_pass_filter N/A self _data fs l_freq filter_length filter_length trans_bandwidth l_trans_bandwidth method method iir_params iir_params picks picks n_jobs n_jobs copy False N/A N/A N/A l_freq None N/A h_freq None N/A N/A N/A l_freq h_freq N/A N/A N/A N/A logger info N/A Band-pass filtering from %0.2g - %0.2g Hz N/A l_freq h_freq N/A N/A self _data N/A band_pass_filter N/A self _data fs l_freq h_freq filter_length filter_length l_trans_bandwidth l_trans_bandwidth h_trans_bandwidth h_trans_bandwidth method method iir_params iir_params picks picks n_jobs n_jobs copy False N/A N/A N/A N/A logger info N/A Band-stop filtering from %0.2g - %0.2g Hz N/A h_freq l_freq N/A N/A self _data N/A band_stop_filter N/A self _data fs h_freq l_freq filter_length filter_length l_trans_bandwidth h_trans_bandwidth h_trans_bandwidth l_trans_bandwidth method method iir_params iir_params picks picks n_jobs n_jobs copy False N/A self N/A verbose notch_filter N/A N/A self freqs picks filter_length notch_widths trans_bandwidth n_jobs method iir_params mt_bandwidth p_value verbose N/A None 10s None 1.0 1 fft None None 0.05 None N/A N/A Notch filter a subset of channels.

        Applies a zero-phase notch filter to the channels selected by
        "picks". By default the data of the Raw object is modified inplace.

        The Raw object has to have the data loaded e.g. with ``preload=True``
        or ``self.load_data()``.

        .. note:: If n_jobs > 1, more memory is required as
                  ``len(picks) * n_times`` additional time points need to
                  be temporaily stored in memory.

        Parameters
        ----------
        freqs : float | array of float | None
            Specific frequencies to filter out from data, e.g.,
            np.arange(60, 241, 60) in the US or np.arange(50, 251, 50) in
            Europe. None can only be used with the mode 'spectrum_fit',
            where an F test is used to find sinusoidal components.
        picks : array-like of int | None
            Indices of channels to filter. If None only the data (MEG/EEG)
            channels will be filtered.
        filter_length : str (Default: '10s') | int | None
            Length of the filter to use. If None or "len(x) < filter_length",
            the filter length used is len(x). Otherwise, if int, overlap-add
            filtering with a filter of the specified length in samples) is
            used (faster for long signals). If str, a human-readable time in
            units of "s" or "ms" (e.g., "10s" or "5500ms") will be converted
            to the shortest power-of-two length at least that duration.
            Not used for 'iir' filters.
        notch_widths : float | array of float | None
            Width of each stop band (centred at each freq in freqs) in Hz.
            If None, freqs / 200 is used.
        trans_bandwidth : float
            Width of the transition band in Hz.
        n_jobs : int | str
            Number of jobs to run in parallel. Can be 'cuda' if scikits.cuda
            is installed properly, CUDA is initialized, and method='fft'.
        method : str
            'fft' will use overlap-add FIR filtering, 'iir' will use IIR
            forward-backward filtering (via filtfilt). 'spectrum_fit' will
            use multi-taper estimation of sinusoidal components.
        iir_params : dict | None
            Dictionary of parameters to use for IIR filtering.
            See mne.filter.construct_iir_filter for details. If iir_params
            is None and method="iir", 4th order Butterworth will be used.
        mt_bandwidth : float | None
            The bandwidth of the multitaper windowing function in Hz.
            Only used in 'spectrum_fit' mode.
        p_value : float
            p-value to use in F-test thresholding to determine significant
            sinusoidal components to remove when method='spectrum_fit' and
            freqs=None. Note that this will be Bonferroni corrected for the
            number of frequencies, so large p-values may be justified.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).
            Defaults to self.verbose.

        Returns
        -------
        raw : instance of Raw
            The raw instance with filtered data.

        See Also
        --------
        mne.io.Raw.filter

        Notes
        -----
        For details, see :func:`mne.filter.notch_filter`.
         N/A fs N/A float N/A N/A self info N/A sfreq N/A N/A picks None N/A N/A picks N/A _pick_data_or_ica N/A self info N/A N/A N/A len picks 1 N/A N/A N/A RuntimeError Could not find any valid channels for your Raw object. Please contact the MNE-Python developers. N/A N/A _check_preload self raw.notch_filter N/A N/A self _data N/A notch_filter N/A self _data fs freqs filter_length filter_length notch_widths notch_widths trans_bandwidth trans_bandwidth method method iir_params iir_params mt_bandwidth mt_bandwidth p_value p_value picks picks n_jobs n_jobs copy False N/A self N/A verbose resample N/A N/A self sfreq npad window stim_picks n_jobs events copy verbose N/A None boxcar None 1 None None None N/A N/A Resample all channels.

        The Raw object has to have the data loaded e.g. with ``preload=True``
        or ``self.load_data()``.

        .. warning:: The intended purpose of this function is primarily to
                     speed up computations (e.g., projection calculation) when
                     precise timing of events is not required, as downsampling
                     raw data effectively jitters trigger timings. It is
                     generally recommended not to epoch downsampled data,
                     but instead epoch and then downsample, as epoching
                     downsampled data jitters triggers.
                     For more, see
                     `this illustrative gist <https://gist.github.com/Eric89GXL/01642cb3789992fbca59>`_.

                     If resampling the continuous data is desired, it is
                     recommended to construct events using the original data.
                     The event onsets can be jointly resampled with the raw
                     data using the 'events' parameter.

        Parameters
        ----------
        sfreq : float
            New sample rate to use.
        npad : int | str
            Amount to pad the start and end of the data.
            Can also be "auto" to use a padding that will result in
            a power-of-two size (can be much faster).
        window : string or tuple
            Frequency-domain window to use in resampling.
            See :func:`scipy.signal.resample`.
        stim_picks : array of int | None
            Stim channels. These channels are simply subsampled or
            supersampled (without applying any filtering). This reduces
            resampling artifacts in stim channels, but may lead to missing
            triggers. If None, stim channels are automatically chosen using
            :func:`mne.pick_types`.
        n_jobs : int | str
            Number of jobs to run in parallel. Can be 'cuda' if scikits.cuda
            is installed properly and CUDA is initialized.
        events : 2D array, shape (n_events, 3) | None
            An optional event matrix. When specified, the onsets of the events
            are resampled jointly with the data.
        copy : bool
            Whether to operate on a copy of the data (True) or modify data
            in-place (False). Defaults to False.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).
            Defaults to self.verbose.

        Returns
        -------
        raw : instance of Raw
            The resampled version of the raw object.

        See Also
        --------
        mne.io.Raw.filter
        mne.Epochs.resample

        Notes
        -----
        For some data, it may be more accurate to use ``npad=0`` to reduce
        artifacts. This is dataset dependent -- check your data!
         N/A N/A npad None N/A N/A npad 100 N/A N/A warn npad is currently taken to be 100, but will be changed to "auto" in 0.13. Please set the value explicitly. DeprecationWarning N/A N/A _check_preload self raw.resample N/A inst N/A _check_copy_dep self copy N/A N/A events None N/A N/A N/A N/A original_events N/A find_events inst N/A N/A N/A N/A N/A sfreq N/A float sfreq N/A o_sfreq N/A float N/A N/A inst info N/A sfreq N/A offsets N/A N/A np concatenate N/A N/A 0 N/A N/A np cumsum N/A inst _raw_lengths N/A new_data N/A list N/A ratio N/A sfreq o_sfreq N/A N/A stim_picks None N/A N/A stim_picks N/A pick_types N/A inst info meg False ref_meg False stim True exclude N/A N/A stim_picks N/A N/A np asanyarray stim_picks N/A ri N/A range N/A len N/A inst _raw_lengths N/A N/A data_chunk N/A N/A inst _data N/A N/A N/A N/A offsets N/A ri N/A offsets N/A N/A ri 1 N/A N/A N/A new_data append N/A resample data_chunk sfreq o_sfreq npad window window n_jobs n_jobs N/A new_ntimes N/A N/A N/A new_data N/A ri shape N/A 1 N/A N/A N/A len stim_picks 0 N/A N/A stim_resampled N/A _resample_stim_channels N/A data_chunk N/A stim_picks N/A N/A N/A new_data N/A ri shape N/A 1 N/A N/A data_chunk shape N/A 1 N/A N/A N/A new_data N/A ri N/A stim_picks stim_resampled N/A N/A N/A inst _first_samps N/A ri N/A int N/A N/A N/A inst _first_samps N/A ri ratio N/A N/A N/A inst _last_samps N/A ri N/A N/A N/A N/A inst _first_samps N/A ri new_ntimes 1 N/A N/A N/A inst _raw_lengths N/A ri new_ntimes N/A N/A inst _data N/A N/A np concatenate new_data axis 1 N/A N/A N/A inst info N/A sfreq sfreq N/A N/A N/A N/A N/A inst info get lowpass None N/A N/A N/A N/A inst info N/A lowpass N/A min N/A N/A inst info N/A lowpass N/A sfreq 2.0 N/A N/A N/A inst _update_times N/A N/A events None N/A N/A N/A N/A resampled_events N/A find_events inst N/A N/A N/A len resampled_events N/A len original_events N/A N/A N/A warn Resampling of the stim channels caused event information to become unreliable. Consider finding events on the original data and passing the event matrix as a parameter. N/A N/A N/A N/A N/A inst N/A N/A copy N/A N/A events N/A N/A events copy N/A N/A events N/A N/A N/A 0 N/A N/A np minimum N/A N/A N/A N/A np round N/A N/A events N/A N/A N/A 0 ratio astype int N/A N/A N/A inst _data shape N/A 1 N/A N/A inst events N/A verbose crop N/A N/A self tmin tmax copy N/A 0.0 None None N/A N/A Crop raw data file.

        Limit the data from the raw file to go between specific times. Note
        that the new tmin is assumed to be t=0 for all subsequently called
        functions (e.g., time_as_index, or Epochs). New first_samp and
        last_samp are set accordingly.

        Parameters
        ----------
        tmin : float
            New start time in seconds (must be >= 0).
        tmax : float | None
            New end time in seconds of the data (cannot exceed data duration).
        copy : bool
            This parameter has been deprecated and will be removed in 0.13.
            Use inst.copy() instead.
            Whether to return a new instance or modify in place.

        Returns
        -------
        raw : instance of Raw
            The cropped raw object.
         N/A raw N/A _check_copy_dep self copy default True N/A max_time N/A N/A N/A raw n_times 1 N/A N/A raw info N/A sfreq N/A N/A tmax None N/A N/A tmax max_time N/A N/A tmin tmax N/A N/A N/A ValueError tmin must be less than tmax N/A N/A tmin 0.0 N/A N/A N/A ValueError tmin must be >= 0 N/A N/A N/A tmax max_time N/A N/A N/A ValueError N/A tmax must be less than or equal to the max raw time (%0.4f sec) max_time N/A N/A smin smax N/A N/A N/A N/A np where N/A _time_mask N/A self times tmin tmax sfreq N/A N/A self info N/A sfreq N/A 0 N/A N/A 0 -1 N/A cumul_lens N/A N/A np concatenate N/A N/A 0 N/A N/A np array N/A raw _raw_lengths dtype int N/A cumul_lens N/A N/A np cumsum cumul_lens N/A keepers N/A N/A np logical_and N/A N/A np less smin N/A cumul_lens N/A 1 N/A N/A np greater_equal smax N/A cumul_lens N/A -1 N/A keepers N/A N/A N/A np where keepers N/A 0 N/A N/A raw _first_samps N/A N/A np atleast_1d N/A N/A raw _first_samps N/A keepers N/A N/A N/A raw _first_samps N/A 0 N/A smin N/A cumul_lens N/A N/A keepers N/A 0 N/A N/A raw _last_samps N/A N/A np atleast_1d N/A N/A raw _last_samps N/A keepers N/A N/A N/A raw _last_samps N/A -1 N/A N/A N/A cumul_lens N/A N/A N/A keepers N/A -1 1 1 smax N/A N/A raw _raw_extras N/A r N/A N/A ri r N/A enumerate N/A raw _raw_extras N/A ri keepers N/A N/A raw _filenames N/A r N/A N/A ri r N/A enumerate N/A raw _filenames N/A ri keepers N/A N/A raw preload N/A N/A N/A raw _data N/A N/A N/A N/A raw _data N/A N/A N/A smin N/A smax 1 copy N/A N/A N/A raw _update_times N/A raw N/A save N/A N/A self fname picks tmin tmax buffer_size_sec drop_small_buffer proj fmt overwrite split_size verbose N/A None 0 None 10 False False single False 2GB None N/A N/A Save raw data to file

        Parameters
        ----------
        fname : string
            File name of the new dataset. This has to be a new filename
            unless data have been preloaded. Filenames should end with
            raw.fif, raw.fif.gz, raw_sss.fif, raw_sss.fif.gz, raw_tsss.fif
            or raw_tsss.fif.gz.
        picks : array-like of int | None
            Indices of channels to include. If None all channels are kept.
        tmin : float | None
            Time in seconds of first sample to save. If None first sample
            is used.
        tmax : float | None
            Time in seconds of last sample to save. If None last sample
            is used.
        buffer_size_sec : float | None
            Size of data chunks in seconds. If None, the buffer size of
            the original file is used.
        drop_small_buffer : bool
            Drop or not the last buffer. It is required by maxfilter (SSS)
            that only accepts raw files with buffers of the same size.
        proj : bool
            If True the data is saved with the projections applied (active).

            .. note:: If ``apply_proj()`` was used to apply the projections,
                      the projectons will be active even if ``proj`` is False.

        fmt : str
            Format to use to save raw data. Valid options are 'double',
            'single', 'int', and 'short' for 64- or 32-bit float, or 32- or
            16-bit integers, respectively. It is **strongly** recommended to
            use 'single', as this is backward-compatible, and is standard for
            maintaining precision. Note that using 'short' or 'int' may result
            in loss of precision, complex data cannot be saved as 'short',
            and neither complex data types nor real data stored as 'double'
            can be loaded with the MNE command-line tools. See raw.orig_format
            to determine the format the original data were stored in.
        overwrite : bool
            If True, the destination file (if it exists) will be overwritten.
            If False (default), an error will be raised if the file exists.
        split_size : string | int
            Large raw files are automatically split into multiple pieces. This
            parameter specifies the maximum size of each piece. If the
            parameter is an integer, it specifies the size in Bytes. It is
            also possible to pass a human-readable string, e.g., 100MB.

            .. note:: Due to FIFF file limitations, the maximum split
                      size is 2GB.

        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).
            Defaults to self.verbose.

        Notes
        -----
        If Raw is a concatenation of several raw files, **be warned** that
        only the measurement information from the first raw file is stored.
        This likely means that certain operations with external tools may not
        work properly on a saved concatenated file (e.g., probably some
        or all forms of SSS). It is recommended not to concatenate and
        then save raw files for this reason.
         N/A N/A check_fname fname raw N/A raw.fif raw_sss.fif raw_tsss.fif raw.fif.gz raw_sss.fif.gz raw_tsss.fif.gz N/A split_size N/A _get_split_size split_size N/A fname N/A N/A op realpath fname N/A N/A N/A N/A self preload N/A fname N/A self _filenames N/A N/A N/A ValueError You cannot save data to the same file. Please use a different filename. N/A N/A self preload N/A N/A N/A N/A np iscomplexobj N/A self _data N/A N/A N/A warn Saving raw file with complex data. Loading with command-line MNE tools will not work. N/A type_dict N/A dict short N/A FIFF FIFFT_DAU_PACK16 int N/A FIFF FIFFT_INT single N/A FIFF FIFFT_FLOAT double N/A FIFF FIFFT_DOUBLE N/A N/A fmt N/A N/A type_dict keys N/A N/A N/A ValueError fmt must be "short", "int", "single", or "double" N/A reset_dict N/A dict short False int False single True double True N/A reset_range N/A reset_dict N/A fmt N/A data_type N/A type_dict N/A fmt N/A data_test N/A N/A self N/A N/A 0 0 N/A 0 N/A N/A N/A fmt short N/A N/A np iscomplexobj data_test N/A N/A N/A ValueError Complex data must be saved as "single" or "double", not "short" N/A N/A _check_fname fname overwrite N/A proj N/A N/A info N/A N/A copy deepcopy N/A self info N/A N/A projector info N/A setup_proj info N/A N/A activate_proj N/A info N/A projs copy False N/A N/A info N/A self info N/A projector None N/A inv_comp None N/A N/A N/A self comp None N/A N/A inv_comp N/A N/A linalg inv N/A self comp N/A N/A set_current_comp info N/A self _orig_comp_grade N/A start N/A int N/A N/A np floor N/A tmin N/A N/A self info N/A sfreq N/A N/A tmax None N/A N/A stop N/A N/A N/A self last_samp 1 N/A self first_samp N/A N/A stop N/A int N/A N/A np floor N/A tmax N/A N/A self info N/A sfreq N/A buffer_size N/A N/A self _get_buffer_size buffer_size_sec N/A N/A _write_raw fname self info picks fmt data_type reset_range start stop buffer_size projector inv_comp drop_small_buffer split_size 0 None N/A verbose plot N/A N/A self events duration start n_channels bgcolor color bad_color event_color scalings remove_dc order show_options title show block highpass lowpass filtorder clipping N/A None 10.0 0.0 20 w None N/A 0.8 0.8 0.8 cyan None True type False None True False None None 4 None N/A N/A Plot raw data

        Parameters
        ----------
        events : array | None
            Events to show with vertical bars.
        duration : float
            Time window (sec) to plot in a given time.
        start : float
            Initial time to show (can be changed dynamically once plotted).
        n_channels : int
            Number of channels to plot at once. Defaults to 20.
        bgcolor : color object
            Color of the background.
        color : dict | color object | None
            Color for the data traces. If None, defaults to::

                dict(mag='darkblue', grad='b', eeg='k', eog='k', ecg='r',
                     emg='k', ref_meg='steelblue', misc='k', stim='k',
                     resp='k', chpi='k')

        bad_color : color object
            Color to make bad channels.
        event_color : color object
            Color to use for events.
        scalings : dict | None
            Scale factors for the traces. If None, defaults to::

                dict(mag=1e-12, grad=4e-11, eeg=20e-6, eog=150e-6, ecg=5e-4,
                     emg=1e-3, ref_meg=1e-12, misc=1e-3, stim=1,
                     resp=1, chpi=1e-4)

        remove_dc : bool
            If True remove DC component when plotting data.
        order : 'type' | 'original' | array
            Order in which to plot data. 'type' groups by channel type,
            'original' plots in the order of ch_names, array gives the
            indices to use in plotting.
        show_options : bool
            If True, a dialog for options related to projection is shown.
        title : str | None
            The title of the window. If None, and either the filename of the
            raw object or '<unknown>' will be displayed as title.
        show : bool
            Show figures if True
        block : bool
            Whether to halt program execution until the figure is closed.
            Useful for setting bad channels on the fly (click on line).
            May not work on all systems / platforms.
        highpass : float | None
            Highpass to apply when displaying data.
        lowpass : float | None
            Lowpass to apply when displaying data.
        filtorder : int
            Filtering order. Note that for efficiency and simplicity,
            filtering during plotting uses forward-backward IIR filtering,
            so the effective filter order will be twice ``filtorder``.
            Filtering the lines for display may also produce some edge
            artifacts (at the left and right edges) of the signals
            during display. Filtering requires scipy >= 0.10.
        clipping : str | None
            If None, channels are allowed to exceed their designated bounds in
            the plot. If "clamp", then values are clamped to the appropriate
            range for display, creating step-like artifacts. If "transparent",
            then excessive values are not shown, creating gaps in the traces.

        Returns
        -------
        fig : Instance of matplotlib.figure.Figure
            Raw traces.

        Notes
        -----
        The arrow keys (up/down/left/right) can typically be used to navigate
        between channels and time ranges, but this depends on the backend
        matplotlib is configured to use (e.g., mpl.use('TkAgg') should work).
        The scaling can be adjusted with - and + (or =) keys. The viewport
        dimensions can be adjusted with page up/page down and home/end keys.
        Full screen mode can be to toggled with f11 key. To mark or un-mark a
        channel as bad, click on the rather flat segments of a channel's time
        series. The changes will be reflected immediately in the raw object's
        ``raw.info['bads']`` entry.
         N/A N/A plot_raw self events duration start n_channels bgcolor color bad_color event_color scalings remove_dc order show_options title show block highpass lowpass filtorder clipping N/A plot_psd N/A N/A self tmin tmax fmin fmax proj n_fft picks ax color area_mode area_alpha n_overlap dB show n_jobs verbose N/A 0.0 60.0 0 N/A np inf False 2048 None None black std 0.33 0 True True 1 None N/A N/A Plot the power spectral density across channels

        Parameters
        ----------
        tmin : float
            Start time for calculations.
        tmax : float
            End time for calculations.
        fmin : float
            Start frequency to consider.
        fmax : float
            End frequency to consider.
        proj : bool
            Apply projection.
        n_fft : int
            Number of points to use in Welch FFT calculations.
        picks : array-like of int | None
            List of channels to use. Cannot be None if `ax` is supplied. If
            both `picks` and `ax` are None, separate subplots will be created
            for each standard channel type (`mag`, `grad`, and `eeg`).
        ax : instance of matplotlib Axes | None
            Axes to plot into. If None, axes will be created.
        color : str | tuple
            A matplotlib-compatible color to use.
        area_mode : str | None
            How to plot area. If 'std', the mean +/- 1 STD (across channels)
            will be plotted. If 'range', the min and max (across channels)
            will be plotted. Bad channels will be excluded from these
            calculations. If None, no area will be plotted.
        area_alpha : float
            Alpha for the area.
        n_overlap : int
            The number of points of overlap between blocks. The default value
            is 0 (no overlap).
        dB : bool
            If True, transform data to decibels.
        show : bool
            Call pyplot.show() at the end.
        n_jobs : int
            Number of jobs to run in parallel.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).

        Returns
        -------
        fig : instance of matplotlib figure
            Figure with frequency spectra of the data channels.
         N/A N/A plot_raw_psd self tmin tmin tmax tmax fmin fmin fmax fmax proj proj n_fft n_fft picks picks ax ax color color area_mode area_mode area_alpha area_alpha n_overlap n_overlap dB dB show show n_jobs n_jobs N/A verbose plot_psd_topo N/A N/A self tmin tmax fmin fmax proj n_fft n_overlap layout color fig_facecolor axis_facecolor dB show n_jobs verbose N/A 0.0 None 0 100 False 2048 0 None w k k True True 1 None N/A N/A Function for plotting channel wise frequency spectra as topography.

        Parameters
        ----------
        tmin : float
            Start time for calculations. Defaults to zero.
        tmax : float | None
            End time for calculations. If None (default), the end of data is
            used.
        fmin : float
            Start frequency to consider. Defaults to zero.
        fmax : float
            End frequency to consider. Defaults to 100.
        proj : bool
            Apply projection. Defaults to False.
        n_fft : int
            Number of points to use in Welch FFT calculations. Defaults to
            2048.
        n_overlap : int
            The number of points of overlap between blocks. Defaults to 0
            (no overlap).
        layout : instance of Layout | None
            Layout instance specifying sensor positions (does not need to
            be specified for Neuromag data). If None (default), the correct
            layout is inferred from the data.
        color : str | tuple
            A matplotlib-compatible color to use for the curves. Defaults to
            white.
        fig_facecolor : str | tuple
            A matplotlib-compatible color to use for the figure background.
            Defaults to black.
        axis_facecolor : str | tuple
            A matplotlib-compatible color to use for the axis background.
            Defaults to black.
        dB : bool
            If True, transform data to decibels. Defaults to True.
        show : bool
            Show figure if True. Defaults to True.
        n_jobs : int
            Number of jobs to run in parallel. Defaults to 1.
        verbose : bool, str, int, or None
            If not None, override default verbose level (see mne.verbose).

        Returns
        -------
        fig : instance of matplotlib figure
            Figure distributing one image per channel across sensor topography.
         N/A N/A plot_raw_psd_topo self tmin tmin tmax tmax fmin fmin fmax fmax proj proj n_fft n_fft n_overlap n_overlap layout layout color color fig_facecolor fig_facecolor axis_facecolor axis_facecolor dB dB show show n_jobs n_jobs verbose verbose N/A time_as_index N/A N/A self times use_first_samp use_rounding N/A None False N/A N/A Convert time to indices

        Parameters
        ----------
        times : list-like | float | int
            List of numbers or a number representing points in time.
        use_first_samp : boolean
            This is deprecated and will be removed in 0.13.
            If True, time is treated as relative to the session onset, else
            as relative to the recording onset. Default is False.
        use_rounding : boolean
            If True, use rounding (instead of truncation) when converting
            times to indices. This can help avoid non-unique indices.

        Returns
        -------
        index : ndarray
            Indices corresponding to the times supplied.
         N/A N/A use_first_samp None N/A N/A use_first_samp False N/A N/A N/A warn use_first_samp is deprecated, add raw.first_samp manually if first sample offset is required DeprecationWarning N/A index N/A N/A N/A super _BaseRaw self time_as_index times use_rounding N/A use_first_samp N/A N/A index N/A self first_samp N/A index N/A index_as_time N/A N/A self index use_first_samp N/A False N/A N/A Convert indices to time

        Parameters
        ----------
        index : list-like | int
            List of ints or int representing points in time.
        use_first_samp : boolean
            If True, the time returned is relative to the session onset, else
            relative to the recording onset.

        Returns
        -------
        times : ndarray
            Times corresponding to the index supplied.
         N/A N/A _index_as_time index N/A N/A self info N/A sfreq N/A self first_samp use_first_samp N/A N/A deprecated index_as_time is deprecated and will be removed in 0.13, use raw.times[idx] (or raw.times[idx + raw.first_samp] instead estimate_rank N/A N/A self tstart tstop tol return_singular picks scalings N/A 0.0 30.0 0.0001 False None norm N/A N/A Estimate rank of the raw data

        This function is meant to provide a reasonable estimate of the rank.
        The true rank of the data depends on many factors, so use at your
        own risk.

        Parameters
        ----------
        tstart : float
            Start time to use for rank estimation. Default is 0.0.
        tstop : float | None
            End time to use for rank estimation. Default is 30.0.
            If None, the end time of the raw file is used.
        tol : float
            Tolerance for singular values to consider non-zero in
            calculating the rank. The singular values are calculated
            in this method such that independent data are expected to
            have singular value around one.
        return_singular : bool
            If True, also return the singular values that were used
            to determine the rank.
        picks : array_like of int, shape (n_selected_channels,)
            The channels to be considered for rank estimation.
            If None (default) meg and eeg channels are included.
        scalings : dict | 'norm'
            To achieve reliable rank estimation on multiple sensors,
            sensors have to be rescaled. This parameter controls the
            rescaling. If dict, it will update the
            following dict of defaults:

                dict(mag=1e11, grad=1e9, eeg=1e5)

            If 'norm' data will be scaled by internally computed
            channel-wise norms.
            Defaults to 'norm'.

        Returns
        -------
        rank : int
            Estimated rank of the data.
        s : array
            If return_singular is True, the singular values that were
            thresholded to determine the rank are also returned.

        Notes
        -----
        If data are not pre-loaded, the appropriate data will be loaded
        by this function (can be memory intensive).

        Projectors are not taken into account unless they have been applied
        to the data using apply_proj(), since it is not always possible
        to tell whether or not projectors have been applied previously.

        Bad channels will be excluded from calculations.
         cov _estimate_rank_meeg_signals N/A start N/A max 0 N/A N/A N/A self time_as_index tstart N/A 0 N/A N/A tstop None N/A N/A stop N/A N/A self n_times 1 N/A N/A stop N/A min N/A N/A self n_times 1 N/A N/A N/A self time_as_index tstop N/A 0 N/A tslice N/A slice start N/A stop 1 N/A N/A picks None N/A N/A picks N/A _pick_data_channels N/A self info exclude bads with_ref_meg False N/A N/A N/A len picks 1 N/A N/A N/A 1.0 1.0 N/A data N/A N/A self N/A N/A picks tslice N/A 0 N/A out N/A _estimate_rank_meeg_signals data N/A pick_info N/A self info picks scalings scalings tol tol return_singular return_singular N/A out N/A ch_names N/A N/A self N/A N/A N/A Channel names N/A N/A N/A self info N/A ch_names N/A property times N/A N/A self N/A N/A N/A Time points N/A N/A self _times N/A property n_times N/A N/A self N/A N/A N/A Number of time points N/A N/A N/A N/A self last_samp N/A self first_samp 1 N/A property __len__ N/A N/A self N/A N/A N/A N/A self n_times N/A load_bad_channels N/A N/A self bad_file force N/A None False N/A N/A 
        Mark channels as bad from a text file

        This function operates mostly in the style of the C function
        ``mne_mark_bad_channels``.

        Parameters
        ----------
        bad_file : string
            File name of the text file containing bad channels
            If bad_file = None, bad channels are cleared, but this
            is more easily done directly as raw.info['bads'] = [].
        force : boolean
            Whether or not to force bad channel marking (of those
            that exist) if channels are not found, instead of
            raising an error.
         N/A N/A bad_file None N/A N/A names N/A frozenset N/A N/A self info N/A ch_names N/A N/A open bad_file fid N/A N/A bad_names N/A l N/A l N/A N/A N/A N/A fid read splitlines l N/A names_there N/A ci N/A ci bad_names N/A ci names N/A count_diff N/A N/A len bad_names N/A len names_there N/A N/A count_diff 0 N/A N/A N/A force N/A N/A N/A ValueError N/A Bad channels from:
%s
 not found in:
%s N/A bad_file N/A N/A self _filenames N/A 0 N/A N/A N/A warn N/A %d bad channels from:
%s
not found in:
%s N/A count_diff bad_file N/A N/A self _filenames N/A 0 N/A N/A N/A self info N/A bads names_there N/A N/A N/A N/A self info N/A bads N/A N/A append N/A N/A self raws preload N/A None N/A N/A Concatenate raw instances as if they were continuous

        Parameters
        ----------
        raws : list, or Raw instance
            list of Raw instances to concatenate to the current instance
            (in order), or a single raw instance to concatenate.
        preload : bool, str, or None (default None)
            Preload data into memory for data manipulation and faster indexing.
            If True, the data will be preloaded into memory (fast, requires
            large amount of memory). If preload is a string, preload is the
            file name of a memory-mapped file which is used to store the data
            on the hard drive (slower, requires less memory). If preload is
            None, preload=True or False is inferred using the preload status
            of the raw files passed in.
         N/A N/A N/A isinstance raws list N/A N/A raws N/A raws N/A all_raws N/A self N/A all_raws raws N/A N/A _check_raw_compatibility all_raws N/A all_preloaded N/A N/A self preload N/A all N/A N/A r preload N/A r raws N/A N/A preload None N/A N/A all_preloaded N/A N/A preload True N/A N/A preload False N/A N/A preload False N/A N/A N/A self preload N/A N/A N/A self _data None N/A N/A self preload False N/A N/A nchan N/A N/A self info N/A nchan N/A c_ns N/A N/A np cumsum N/A N/A rr n_times N/A rr N/A N/A self raws N/A nsamp N/A c_ns N/A -1 N/A N/A N/A self preload N/A N/A this_data N/A N/A self _read_segment N/A N/A this_data N/A self _data N/A N/A isinstance preload string_types N/A N/A _data N/A N/A np memmap preload mode w+ dtype N/A this_data dtype shape N/A nchan nsamp N/A N/A _data N/A N/A np empty N/A nchan nsamp dtype N/A this_data dtype N/A N/A _data N/A N/A N/A 0 N/A c_ns N/A 0 this_data N/A ri N/A range N/A len raws N/A N/A N/A N/A N/A raws N/A ri preload N/A N/A data_buffer N/A _data N/A N/A N/A N/A c_ns N/A ri N/A c_ns N/A N/A ri 1 N/A N/A N/A N/A raws N/A ri _read_segment data_buffer data_buffer N/A N/A N/A _data N/A N/A N/A N/A c_ns N/A ri N/A c_ns N/A N/A ri 1 N/A N/A raws N/A ri _data N/A N/A self _data _data N/A N/A self preload True N/A r raws N/A N/A N/A self _first_samps N/A N/A np r_ N/A N/A N/A self _first_samps N/A r _first_samps N/A N/A self _last_samps N/A N/A np r_ N/A N/A N/A self _last_samps N/A r _last_samps N/A N/A self _raw_extras N/A r _raw_extras N/A N/A self _filenames N/A r _filenames N/A N/A self annotations N/A _combine_annotations N/A N/A self annotations N/A r annotations N/A self _last_samps N/A self _first_samps N/A N/A self info N/A sfreq N/A N/A N/A self _update_times N/A N/A N/A N/A len N/A self _first_samps N/A len N/A self _last_samps N/A len N/A self _raw_extras N/A len N/A self _filenames N/A N/A N/A RuntimeError Append error N/A close N/A N/A self N/A N/A N/A Clean up the object.

        Does nothing for objects that close their file descriptors.
        Things like RawFIF will override this method.
         N/A N/A copy N/A N/A self N/A N/A N/A  Return copy of Raw instance
         N/A N/A deepcopy self N/A __repr__ N/A N/A self N/A N/A N/A name N/A N/A self _filenames N/A 0 N/A name N/A N/A name None None N/A N/A op basename name N/A s N/A %s, n_channels x n_times : %s x %s (%0.1f sec) N/A name N/A len N/A self ch_names N/A self n_times N/A N/A self times N/A -1 N/A N/A <%s  |  %s> N/A N/A N/A self __class__ __name__ s N/A add_events N/A N/A self events stim_channel N/A None N/A N/A Add events to stim channel

        Parameters
        ----------
        events : ndarray, shape (n_events, 3)
            Events to add. The first column specifies the sample number of
            each event, the second column is ignored, and the third column
            provides the event value. If events already exist in the Raw
            instance at the given sample numbers, the event values will be
            added together.
        stim_channel : str | None
            Name of the stim channel to add to. If None, the config variable
            'MNE_STIM_CHANNEL' is used. If this is not found, it will default
            to 'STI 014'.

        Notes
        -----
        Data must be preloaded in order to add events.
         N/A N/A N/A self preload N/A N/A N/A RuntimeError cannot add events unless data are preloaded N/A events N/A N/A np asarray events N/A N/A N/A N/A events ndim 2 N/A N/A N/A events shape N/A 1 3 N/A N/A N/A ValueError events must be shape (n_events, 3) N/A stim_channel N/A _get_stim_channel stim_channel N/A self info N/A pick N/A pick_channels N/A self ch_names stim_channel N/A N/A N/A len pick 0 N/A N/A N/A ValueError N/A Channel %s not found stim_channel N/A pick N/A pick N/A 0 N/A idx N/A N/A N/A events N/A N/A N/A 0 astype int N/A N/A N/A N/A np any N/A idx N/A self first_samp N/A N/A np any N/A idx N/A self last_samp N/A N/A N/A ValueError N/A event sample numbers must be between %s and %s N/A N/A self first_samp N/A self last_samp N/A N/A N/A all N/A idx N/A events N/A N/A N/A 0 N/A N/A N/A ValueError event sample numbers must be integers N/A N/A N/A self _data N/A N/A pick N/A idx N/A self first_samp N/A events N/A N/A N/A 2 N/A _get_buffer_size N/A N/A self buffer_size_sec N/A None N/A N/A Helper to get the buffer size N/A N/A buffer_size_sec None N/A N/A N/A buffer_size_sec N/A self info N/A N/A buffer_size_sec N/A N/A self info N/A buffer_size_sec N/A N/A buffer_size_sec 10.0 N/A N/A int N/A N/A np ceil N/A buffer_size_sec N/A N/A self info N/A sfreq N/A N/A _check_preload N/A N/A raw msg N/A N/A N/A Helper to ensure data are preloaded N/A N/A N/A raw preload N/A N/A N/A RuntimeError N/A msg  requires raw data to be loaded. Use preload=True (or string) in the constructor or raw.load_data(). N/A _allocate_data N/A N/A data data_buffer data_shape dtype N/A N/A N/A Helper to data in memory or in memmap for preloading N/A N/A data None N/A N/A N/A isinstance data_buffer string_types N/A N/A data N/A N/A np memmap data_buffer mode w+ dtype dtype shape data_shape N/A N/A data N/A N/A np zeros data_shape dtype dtype N/A data N/A _index_as_time N/A N/A index sfreq first_samp use_first_samp N/A 0 False N/A N/A Convert indices to time

    Parameters
    ----------
    index : list-like | int
        List of ints or int representing points in time.
    use_first_samp : boolean
        If True, the time returned is relative to the session onset, else
        relative to the recording onset.

    Returns
    -------
    times : ndarray
        Times corresponding to the index supplied.
     N/A times N/A N/A N/A np atleast_1d index N/A use_first_samp first_samp 0 N/A N/A times sfreq N/A _RawShell N/A N/A N/A Used for creating a temporary raw object __init__ N/A N/A self N/A N/A N/A N/A self first_samp None N/A N/A self last_samp None N/A N/A self _cals None N/A N/A self _rawdir None N/A N/A self _projector None N/A n_times N/A N/A self N/A N/A N/A N/A N/A N/A self last_samp N/A self first_samp 1 N/A property N/A _write_raw N/A N/A fname raw info picks fmt data_type reset_range start stop buffer_size projector inv_comp drop_small_buffer split_size part_idx prev_fname N/A N/A N/A Write raw file with splitting
     N/A N/A part_idx 0 N/A N/A N/A base ext N/A N/A op splitext fname N/A use_fname N/A %s-%d%s N/A base part_idx ext N/A N/A use_fname fname N/A N/A N/A logger info N/A Writing %s use_fname N/A N/A fid cals N/A _start_writing_raw use_fname info picks data_type reset_range N/A first_samp N/A N/A raw first_samp start N/A N/A first_samp 0 N/A N/A N/A write_int fid N/A FIFF FIFF_FIRST_SAMPLE first_samp N/A N/A N/A part_idx 0 N/A prev_fname None N/A N/A N/A start_block fid N/A FIFF FIFFB_REF N/A N/A write_int fid N/A FIFF FIFF_REF_ROLE N/A FIFF FIFFV_ROLE_PREV_FILE N/A N/A write_string fid N/A FIFF FIFF_REF_FILE_NAME prev_fname N/A N/A N/A info N/A meas_id None N/A N/A N/A write_id fid N/A FIFF FIFF_REF_FILE_ID N/A info N/A meas_id N/A N/A write_int fid N/A FIFF FIFF_REF_FILE_NUM N/A part_idx 1 N/A N/A end_block fid N/A FIFF FIFFB_REF N/A pos_prev None N/A first N/A range start stop buffer_size N/A N/A last N/A first buffer_size N/A N/A last stop N/A N/A last N/A stop 1 N/A N/A picks None N/A N/A N/A data times N/A raw N/A N/A N/A first last N/A N/A N/A data times N/A raw N/A N/A picks N/A first last N/A N/A projector None N/A N/A data N/A N/A np dot projector data N/A N/A drop_small_buffer N/A first start N/A N/A len times buffer_size N/A N/A N/A N/A logger info Skipping data chunk due to small buffer ... [done] N/A N/A N/A N/A logger info Writing ... N/A N/A pos_prev None N/A N/A pos_prev N/A N/A fid tell N/A N/A _write_raw_buffer fid data cals fmt inv_comp N/A pos N/A N/A fid tell N/A this_buff_size_bytes N/A pos pos_prev N/A N/A this_buff_size_bytes N/A split_size 2 N/A N/A N/A ValueError buffer size is too large for the given splitsize: decrease "buffer_size_sec" or increase"split_size". N/A N/A pos split_size N/A N/A N/A warn file is larger than "split_size" N/A N/A pos N/A N/A split_size this_buff_size_bytes N/A 2 20 N/A N/A N/A next_fname next_idx N/A _write_raw fname raw info picks fmt data_type reset_range N/A first buffer_size stop buffer_size projector inv_comp drop_small_buffer split_size N/A part_idx 1 use_fname N/A N/A start_block fid N/A FIFF FIFFB_REF N/A N/A write_int fid N/A FIFF FIFF_REF_ROLE N/A FIFF FIFFV_ROLE_NEXT_FILE N/A N/A write_string fid N/A FIFF FIFF_REF_FILE_NAME N/A N/A op basename next_fname N/A N/A N/A info N/A meas_id None N/A N/A N/A write_id fid N/A FIFF FIFF_REF_FILE_ID N/A info N/A meas_id N/A N/A write_int fid N/A FIFF FIFF_REF_FILE_NUM next_idx N/A N/A end_block fid N/A FIFF FIFFB_REF N/A N/A pos_prev pos N/A N/A N/A raw annotations None N/A N/A N/A start_block fid N/A FIFF FIFFB_MNE_ANNOTATIONS N/A N/A write_float fid N/A FIFF FIFF_MNE_BASELINE_MIN N/A N/A raw annotations onset N/A N/A write_float fid N/A FIFF FIFF_MNE_BASELINE_MAX N/A N/A N/A raw annotations duration N/A N/A raw annotations onset N/A N/A write_name_list fid N/A FIFF FIFF_COMMENT N/A N/A N/A d replace : ; N/A d N/A N/A raw annotations description N/A N/A N/A N/A raw annotations orig_time None N/A N/A N/A write_double fid N/A FIFF FIFF_MEAS_DATE N/A N/A raw annotations orig_time N/A N/A end_block fid N/A FIFF FIFFB_MNE_ANNOTATIONS N/A N/A N/A logger info N/A Closing %s [done] use_fname N/A N/A N/A info get maxshield False N/A N/A N/A end_block fid N/A FIFF FIFFB_SMSH_RAW_DATA N/A N/A N/A end_block fid N/A FIFF FIFFB_RAW_DATA N/A N/A end_block fid N/A FIFF FIFFB_MEAS N/A N/A end_file fid N/A N/A use_fname part_idx N/A _start_writing_raw N/A N/A name info sel data_type reset_range N/A None N/A FIFF FIFFT_FLOAT True N/A N/A Start write raw data in file

    Data will be written in float

    Parameters
    ----------
    name : string
        Name of the file to create.
    info : dict
        Measurement info.
    sel : array of int, optional
        Indices of channels to include. By default all channels are included.
    data_type : int
        The data_type in case it is necessary. Should be 4 (FIFFT_FLOAT),
        5 (FIFFT_DOUBLE), 16 (FIFFT_DAU_PACK16), or 3 (FIFFT_INT) for raw data.
    reset_range : bool
        If True, the info['chs'][k]['range'] parameter will be set to unity.

    Returns
    -------
    fid : file
        The file descriptor.
    cals : list
        calibration factors.
     N/A info N/A pick_info info sel N/A fid N/A start_file name N/A N/A start_block fid N/A FIFF FIFFB_MEAS N/A N/A write_id fid N/A FIFF FIFF_BLOCK_ID N/A N/A N/A info N/A meas_id None N/A N/A N/A write_id fid N/A FIFF FIFF_PARENT_BLOCK_ID N/A info N/A meas_id N/A cals N/A N/A k N/A range N/A info N/A nchan N/A N/A N/A N/A N/A info N/A chs N/A k N/A scanno N/A k 1 N/A N/A reset_range True N/A N/A N/A N/A N/A info N/A chs N/A k N/A range 1.0 N/A N/A N/A cals append N/A N/A N/A N/A info N/A chs N/A k N/A cal N/A N/A N/A info N/A chs N/A k N/A range N/A N/A write_meas_info fid info data_type data_type reset_range reset_range N/A N/A N/A info get maxshield False N/A N/A N/A start_block fid N/A FIFF FIFFB_SMSH_RAW_DATA N/A N/A N/A start_block fid N/A FIFF FIFFB_RAW_DATA N/A N/A fid cals N/A _write_raw_buffer N/A N/A fid buf cals fmt inv_comp N/A N/A N/A Write raw buffer

    Parameters
    ----------
    fid : file descriptor
        an open raw data file.
    buf : array
        The buffer to write.
    cals : array
        Calibration factors.
    fmt : str
        'short', 'int', 'single', or 'double' for 16/32 bit int or 32/64 bit
        float for each item. This will be doubled for complex datatypes. Note
        that short and int formats cannot be used for complex data.
    inv_comp : array | None
        The CTF compensation matrix used to revert compensation
        change when reading.
     N/A N/A N/A N/A buf shape N/A 0 N/A len cals N/A N/A N/A ValueError buffer and calibration sizes do not match N/A N/A fmt N/A short int single double N/A N/A N/A ValueError fmt must be "short", "single", or "double" N/A N/A N/A np isrealobj buf N/A N/A N/A fmt short N/A N/A write_function write_dau_pack16 N/A N/A N/A fmt int N/A N/A write_function write_int N/A N/A N/A fmt single N/A N/A write_function write_float N/A N/A write_function write_double N/A N/A N/A fmt single N/A N/A write_function write_complex64 N/A N/A N/A fmt double N/A N/A write_function write_complex128 N/A N/A N/A ValueError only "single" and "double" supported for writing complex data N/A N/A inv_comp None N/A N/A buf N/A N/A np dot N/A inv_comp N/A N/A N/A np ravel cals N/A N/A N/A None buf N/A N/A buf N/A buf N/A N/A N/A np ravel cals N/A N/A N/A None N/A N/A write_function fid N/A FIFF FIFF_DATA_BUFFER buf N/A _my_hilbert N/A N/A x n_fft envelope N/A None False N/A N/A  Compute Hilbert transform of signals w/ zero padding.

    Parameters
    ----------
    x : array, shape (n_times)
        The signal to convert
    n_fft : int, length > x.shape[-1] | None
        How much to pad the signal before Hilbert transform.
        Note that signal will then be cut back to original length.
    envelope : bool
        Whether to compute amplitude of the hilbert transform in order
        to return the signal envelope.

    Returns
    -------
    out : array, shape (n_times)
        The hilbert transform of the signal, or the envelope.
     scipy.signal hilbert N/A n_fft N/A N/A n_fft None N/A N/A x shape N/A -1 n_fft N/A n_x N/A N/A x shape N/A -1 N/A out N/A N/A hilbert x N n_fft N/A n_x N/A N/A envelope True N/A N/A out N/A N/A np abs out N/A out N/A _check_raw_compatibility N/A N/A raw N/A N/A N/A Check to make sure all instances of Raw
    in the input list raw have compatible parameters N/A ri N/A range 1 N/A len raw N/A N/A N/A N/A isinstance N/A raw N/A ri N/A type N/A raw N/A 0 N/A N/A N/A ValueError N/A raw[%d] type must match ri N/A N/A N/A N/A N/A N/A raw N/A ri info N/A nchan N/A N/A N/A raw N/A 0 info N/A nchan N/A N/A N/A ValueError N/A raw[%d]['info']['nchan'] must match ri N/A N/A N/A N/A N/A N/A raw N/A ri info N/A bads N/A N/A N/A raw N/A 0 info N/A bads N/A N/A N/A ValueError N/A raw[%d]['info']['bads'] must match ri N/A N/A N/A N/A N/A N/A raw N/A ri info N/A sfreq N/A N/A N/A raw N/A 0 info N/A sfreq N/A N/A N/A ValueError N/A raw[%d]['info']['sfreq'] must match ri N/A N/A N/A N/A set N/A N/A N/A raw N/A ri info N/A ch_names N/A set N/A N/A N/A raw N/A 0 info N/A ch_names N/A N/A N/A ValueError N/A raw[%d]['info']['ch_names'] must match ri N/A N/A N/A all N/A N/A N/A raw N/A ri _cals N/A N/A raw N/A 0 _cals N/A N/A N/A ValueError N/A raw[%d]._cals must match ri N/A N/A N/A len N/A N/A N/A raw N/A 0 info N/A projs N/A len N/A N/A N/A raw N/A ri info N/A projs N/A N/A N/A ValueError SSP projectors in raw files must be the same N/A N/A N/A all N/A N/A _proj_equal p1 p2 N/A N/A p1 p2 N/A zip N/A N/A N/A raw N/A 0 info N/A projs N/A N/A N/A raw N/A ri info N/A projs N/A N/A N/A ValueError SSP projectors in raw files must be the same N/A N/A N/A all N/A N/A N/A r orig_format N/A N/A raw N/A 0 orig_format N/A r raw N/A N/A N/A warn raw files do not all have the same data format, could result in precision mismatch. Setting raw.orig_format="unknown" N/A N/A N/A raw N/A 0 orig_format unknown N/A concatenate_raws N/A N/A raws preload events_list N/A None None N/A N/A Concatenate raw instances as if they were continuous. Note that raws[0]
    is modified in-place to achieve the concatenation.

    Parameters
    ----------
    raws : list
        list of Raw instances to concatenate (in order).
    preload : bool, or None
        If None, preload status is inferred using the preload status of the
        raw files passed in. True or False sets the resulting raw file to
        have or not have data preloaded.
    events_list : None | list
        The events to concatenate. Defaults to None.

    Returns
    -------
    raw : instance of Raw
        The result of the concatenation (first Raw instance passed in).
    events : ndarray of int, shape (n events, 3)
        The events. Only returned if `event_list` is not None.
     N/A N/A events_list None N/A N/A N/A N/A len events_list N/A len raws N/A N/A N/A ValueError `raws` and `event_list` are required to be of the same length N/A N/A first last N/A zip N/A N/A N/A r first_samp N/A r last_samp N/A r raws N/A events N/A concatenate_events events_list first last N/A N/A N/A N/A raws N/A 0 append N/A raws N/A 1 preload N/A N/A events_list None N/A N/A N/A raws N/A 0 N/A N/A N/A N/A raws N/A 0 events N/A _check_update_montage N/A N/A info montage path update_ch_names N/A None False N/A N/A  Helper function for eeg readers to add montage N/A N/A montage None N/A N/A N/A N/A isinstance montage N/A string_types Montage N/A N/A err N/A Montage must be str, None, or instance of Montage. %s was provided N/A type montage N/A N/A TypeError err N/A N/A montage None N/A N/A N/A isinstance montage string_types N/A N/A montage N/A read_montage montage path path N/A N/A _set_montage info montage update_ch_names update_ch_names N/A missing_positions N/A N/A exclude N/A N/A FIFF FIFFV_EOG_CH N/A FIFF FIFFV_MISC_CH N/A FIFF FIFFV_STIM_CH N/A ch N/A info N/A chs N/A N/A N/A N/A N/A ch N/A kind exclude N/A N/A N/A N/A N/A N/A np unique N/A ch N/A loc size 1 N/A N/A N/A N/A missing_positions append N/A ch N/A ch_name N/A missing_positions N/A N/A N/A KeyError N/A The following positions are missing from the montage definitions: %s. If those channels lack positions because they are EOG channels use the eog parameter. N/A str missing_positions N/A