kh3ddlZddlZddlmZmZmZmZmZddlZddl m Z m Z m Z m Z dedee e ffdZdeeeefdee e ffd Zdded ede fd Zdd ej$d ede fd Zy)N)ListUnionDictrAny)BaseLayoutElement TextBlockLayoutBASECOORD_ELEMENT_NAMEMAPfilenamereturnct|d5}tj|}dddt|S#1swYtSxYw)aTLoad a JSON file and save it as a layout object with appropriate data types. Args: filename (str): The name of the JSON file. Returns: Union[BaseLayoutElement, Layout]: Based on the JSON file format, it will automatically parse the type of the data and load it accordingly. rN)openjsonload load_dict)r fpress Q/var/www/teggl/fontify/venv/lib/python3.12/site-packages/layoutparser/io/basic.py load_jsonrsE h iim S> S>s 6A datacttrdvr&ttdjdSdt vrt ddtfdtjD}|rtjSt djSttr"tDcgc] }t|c}St dcc}w)aLoad a dict of list of dict representations of some layout data, automatically parse its type, and save it as any of BaseLayoutElement or Layout datatype. Args: data (Union[Dict, List]): A dict of list of dict representations of the layout data Raises: ValueError: If the data format is incompatible with the layout-data-JSON format, raise a `ValueError`. ValueError: If any `block_type` name is not in the available list of layout element names defined in `BASECOORD_ELEMENT_NAMEMAP`, raise a `ValueError`. Returns: Union[BaseLayoutElement, Layout]: Based on the dict format, it will automatically parse the type of the data and load it accordingly. page_datablocks)r block_typezInvalid block_type c3&K|]}|v ywN).0elers r zload_dict..OsJssd{JszInvalid input JSON structure.) isinstancedictr r_blocksr ValueErroranyr _features from_dictlist)r is_textblockr!s` rrr/s,$ $ )DN3;;tKGXY YL!)BB #6tL7I6J!KLLJi6I6IJJL **4000l1CDNNtTT D$ 6#y~6778::7sC)rcBttj||S)aLoad the Layout object from the given CSV file. Args: filename (str): The name of the CSV file. A row of the table represents an individual layout element. block_type (str): If there's no block_type column in the CSV file, you must pass in a block_type variable such that layout parser can appropriately detect the type of the layout elements. Returns: Layout: The parsed Layout object from the CSV file. )r)load_dataframepdread_csv)r rs rload_csvr0\s$ "++h/J GGdfc|j}d|jvr.|djtk(r|dj d|d<|d|jvrt d||d<t d|jDrd|jvr|j|d<t|jdd jS) aLoad the Layout object from the given dataframe. Args: df (pd.DataFrame): block_type (str): If there's no block_type column in the CSV file, you must pass in a block_type variable such that layout parser can appropriately detect the type of the layout elements. Returns: Layout: The parsed Layout object from the CSV file. pointscZtj|stj|S|Sr)r.isnaast literal_evalxs rz load_dataframe..sRWWQZ#**1-Qr1rz:`block_type` not specified both in dataframe and argumentsc3@K|]}|tjvywr)r r()r cols rr"z!load_dataframe..s <#3)%% % |jjSr)dropnato_dictr9s rr;z load_dataframe..s (:(:(<r1)axis) copycolumnsdtypeobjectmapr&r'indexrapplyto_list)r2rs rr-r-qs B2:: h<   'h<++FBxL rzz )L &< < << rzz !xxBtH RXX<1XEMMO PPr1r)r7rtypingrrrrpandasr.elementsrr r r strrrr0 DataFramer-rr1rrQs //&7&? @$*;E$T *+*;6G6O0P*;ZHsHHvH*#Qr||#Q#Q#Qr1