
    bi+                     n   U d Z ddlZ ej                  e      5  ddlZej                  j                          ddlZdZ	ej                  j                  d      dk(  re	dz  Z	ej                  j                  d      xZre	dez   z  Z	e	ej                  d<   dd	lmZ  e        ddd       dd
lmZmZ ddlmZmZmZmZ ddlmZ ddlmZmZ ddlmZ ddlmZ ddl m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)m*Z* ddl+m,Z, ddl-m.Z. ddl/m0Z0m1Z1m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7m8Z8m9Z9m:Z:m;Z;m<Z<m=Z=m>Z>m?Z?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJmKZKmLZLmMZMmNZN ddlOmPZP ddlQmRZRmSZSmTZTmUZUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbmcZcmdZdmeZemfZfmgZgmhZhmiZimjZjmkZkmlZlmmZmmnZnmoZompZpmqZqmrZrmsZsmtZtmuZumvZvmwZwmxZxmyZymzZzm{Z{m|Z|m}Z}m~Z~mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddlmZ ddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZ ddlmZmZmZmZmZmZ ddlmZmZmZ ddlmZmZmZmZmZ ddlmZ ddlmZ ddlmZmZ ddlmZmZmZmZ  e       Zeed<   [g d Zes	d!ed"efd#Zyy# 1 sw Y   	xY w)$u  
Polars: Blazingly fast DataFrames
=================================

Polars is a fast, open-source library for data manipulation with an expressive, typed API.

Basic usage:

   >>> import polars as pl
   >>> df = pl.DataFrame(
   ...     {
   ...         "name": ["Alice", "Bob", "Charlie"],
   ...         "age": [25, 30, 35],
   ...         "city": ["New York", "London", "Tokyo"],
   ...     }
   ... )
   >>> df.filter(pl.col("age") > 28)
   shape: (2, 3)
   ┌─────────┬─────┬────────┐
   │ name    ┆ age ┆ city   │
   │ ---     ┆ --- ┆ ---    │
   │ str     ┆ i64 ┆ str    │
   ╞═════════╪═════╪════════╡
   │ Bob     ┆ 30  ┆ London │
   │ Charlie ┆ 35  ┆ Tokyo  │
   └─────────┴─────┴────────┘

User Guide: https://docs.pola.rs/
Python API Documentation: https://docs.pola.rs/api/python/stable/
Source Code: https://github.com/pola-rs/polars
    Nz$dirty_decay_ms:500,muzzy_decay_ms:-1
POLARS_THP1z,thp:always,metadata_thp:always_RJEM_MALLOC_CONF,)__register_startup_deps)TYPE_CHECKINGAny)api
exceptionsplugins	selectors)get_polars_version)wrap_dfwrap_s)Catalog)Config)

from_arrowfrom_dataframe	from_dict
from_dicts
from_numpyfrom_pandasfrom_records	from_repr
from_torchjson_normalize)	DataFrame)DataTypeExpr)ArrayBinaryBooleanCategorical
CategoriesDataTypeDateDatetimeDecimalDurationEnumFieldFloat32Float64Int8Int16Int32Int64Int128ListNullObjectStringStructTimeUInt8UInt16UInt32UInt64UnknownUtf8)Expr)Yalign_framesallall_horizontalanyany_horizontalapprox_n_uniquearangearctan2arctan2darg_sort_by	arg_wherebusiness_day_countcoalescecolcollect_allcollect_all_asyncconcat
concat_arrconcat_list
concat_strcorrcountcov	cum_countcum_fold
cum_reducecum_sumcum_sum_horizontaldate
date_rangedate_rangesdatetimedatetime_rangedatetime_rangesdtype_ofdurationelementescape_regexexcludeexplain_allfieldfirstfoldformat
from_epochgroupsheadimplode	int_range
int_rangeslastlenlinear_spacelinear_spaceslitmap_batches
map_groupsmaxmax_horizontalmeanmean_horizontalmedianminmin_horizontaln_uniquenthonesquantilereducerepeatrolling_corrrolling_cov	row_indexselect
self_dtypeset_random_seedsql_exprstdstructstruct_with_fieldssumsum_horizontaltailtime
time_rangetime_rangesvarwhenzeros)CompatLevel) BasePartitionContextKeyedPartitionKeyedPartitionContextPartitionByKeyPartitionMaxSizePartitionPartedScanCastOptionsdefer	read_avroread_clipboardread_csvread_csv_batchedread_databaseread_database_uri
read_delta
read_excelread_ipcread_ipc_schemaread_ipc_stream	read_jsonread_ndjsonread_odsread_parquetread_parquet_metadataread_parquet_schemascan_csv
scan_deltascan_icebergscan_ipcscan_ndjsonscan_parquetscan_pyarrow_dataset)CredentialProviderCredentialProviderAWSCredentialProviderAzureCredentialProviderFunction CredentialProviderFunctionReturnCredentialProviderGCP)	GPUEngine	LazyFrameQueryOptFlags)
build_infoget_index_typeshow_versionsthread_pool_sizethreadpool_size)Schema)Series)
SQLContextsql)StringCachedisable_string_cacheenable_string_cacheusing_string_cache__version__)r
   r   r   r   r   r>   r   r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r?   rI   rJ   rO   ra   r   r\   r]   r_   r`   rc   r   r   r   r   r   r   rd   r@   rA   rB   rC   rY   rZ   rx   ry   r{   r}   r~   r   r   rD   rE   rF   rG   rH   rK   rL   rM   rN   rP   rQ   rR   rS   rT   rU   rV   rW   rX   r[   r^   rb   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   ro   rp   rq   rs   rt   ru   rv   rw   rz   r|   r   r   r   r   r   r   r   r   r   r   r   r   r   rr   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   namereturnc                    | t        t              v r&ddlm}  |d|  d|  d       t	        t        |       S dd lmc m} | t        |      v rddlm}  |d|  d       t	        ||       S dt        d	| }t        |      )
Nr   )issue_deprecation_warningzaccessing `z` from the top-level `polars` module was deprecated in version 1.0.0. Import it directly from the `polars.exceptions` module instead, e.g.: `from polars.exceptions import `)messagez` was deprecated in version 1.0.0. Define your own data type groups or use the `polars.selectors` module for selecting columns of a certain data type.zmodule z has no attribute )
dirr   polars._utils.deprecationr   getattrpolars.datatypes.group	datatypesgroup__name__AttributeError)r   r   dtgroupmsgs       J/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/polars/__init__.py__getattr__r     s    3z?"K%!$ (EEIF!M :t,, 	103w<K%v f f 7D))|#5dX>S!!    )__doc__
contextlibsuppressImportErrorpolars._cpu_checkpolars
_cpu_checkcheck_cpu_flagsosjemalloc_confenvirongetoverridepolars._plrr   typingr   r	   r
   r   r   r   polars._utils.polars_versionr   _get_polars_versionpolars._utils.wrapr   r   polars.catalog.unityr   polars.configr   polars.convertr   r   r   r   r   r   r   r   r   r   polars.dataframer   polars.datatype_exprr   polars.datatypesr   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r/   r0   r1   r2   r3   r4   r5   r6   r7   r8   r9   r:   r;   r<   r=   polars.exprr>   polars.functionsr?   r@   rA   rB   rC   rD   rE   rF   rG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rR   rS   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r^   r_   r`   ra   rb   rc   rd   re   rf   rg   rh   ri   rj   rk   rl   rm   rn   ro   rp   rq   rr   rs   rt   ru   rv   rw   rx   ry   rz   r{   r|   r}   r~   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   polars.interchanger   	polars.ior   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   polars.io.cloudr   r   r   r   r   r   polars.lazyframer   r   r   polars.metar   r   r   r   r   polars.schemar   polars.seriesr   
polars.sqlr   r   polars.string_cacher   r   r   r   r   str__annotations____all__r    r   r   <module>r
     sC  @ Z%  
%%'
 :M	zz~~l#s*::::>>"566x6x'&3BJJ"# 4/2 & 6 6 R / (     ' -                 B Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Zv +! ! ! ! ! ! ! ! !D  A @  !   &  '(S (Wt "# "# " O s   B	J**J4