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B �5�g�; � 2 @ sP d Z ddlmZ ddlZddlmZmZ ddlZddlm Z ddl Z ddl m Z m Z mZmZmZmZmZ ddlZddlZddlmZ ddlmZmZmZm Z dd l m Z dd l m Z dd l!m"Z"m#Z#m$Z$m%Z% dd l&m'Z'm(Z(m)Z) dd l*m+Z+ ddl,m-Z- e �r ddl.m/Z/ G dd� de0�Z1G dd� de2�Z3dd� Z4dd� Z5ddd�dd �Z6dudd �d d �Z7d!d"� Z8dd#�d$d%�Z9dd#�d&d'�Z:dd#�d(d)�Z;dd#�d*d+�Z<d,d#�d-d.�Z=dvd/d0d1�d2d3�Z>dwd/d0d1�d4d5�Z?d6d7� Z@d8d9d:�d;d<�ZAdd#�d=d>�ZBd?d#�d@dA�ZCd,ddB�dCdD�ZDdEdF� ZEdGdH� ZFdIdJ� ZGdxdKdL�ZHdMdNdO�dPdQ�ZIdRdS� ZJdTdUdV�dWdX�ZKejLdYdZd[�d\d]��ZMd^d_�d`da�ZNejOejOejPejPejQejQiZRejOdbejPdcejQddejSdeejTdfejOdbejUdbejVdgejWdgejXdhejYdhejZdiej[diej\djej]djej^dkej_dkejPdcej`dcejQddejaddejbdlejcdlejddmejedmiZfdndodp�dqdr�Zgdsdt� ZhdS )yzh Misc tools for implementing data structures Note: pandas.core.common is *not* part of the public API. � )� annotationsN)�abc� defaultdict)�partial)� TYPE_CHECKING�Any�Callable� Collection�Iterable�Iterator�cast)�lib)� AnyArrayLike�NpDtype�Scalar�T)�np_version_under1p18)�'construct_1d_object_array_from_listlike)� is_array_like� is_bool_dtype�is_extension_array_dtype� is_integer)�ABCExtensionArray�ABCIndex� ABCSeries)�iterable_not_string)�isna)�Indexc @ s e Zd ZdS )�SettingWithCopyErrorN)�__name__� __module__� __qualname__� r" r" �H/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/core/common.pyr 9 s r c @ s e Zd ZdS )�SettingWithCopyWarningN)r r r! r" r" r" r# r$ = s r$ c c s0 x*| D ]"}t |�r"t|�E dH q|V qW dS )a Flatten an arbitrarily nested sequence. Parameters ---------- line : sequence The non string sequence to flatten Notes ----- This doesn't consider strings sequences. Returns ------- flattened : generator N)r �flatten)�line�elementr" r" r# r% A s r% c C sP | d j }x@| dd � D ]0}y|j |kr,d }W q tk rF d }Y qX qW |S )Nr � )�name� ValueError)Zobjsr) �objr" r" r# �consensus_name_attrY s r, r �bool)�key�returnc C s� t | ttjtf�s$t| �r�t| j�r�| jtjkrrt� | �} t � | �snd}t � | �dkrjt | ��� rjt|��dS dS t| j�r�dS n4t | t�r�t| �dkr�t| �tk r�t| �} t �| �S dS )a� Check whether `key` is a valid boolean indexer. Parameters ---------- key : Any Only list-likes may be considered boolean indexers. All other types are not considered a boolean indexer. For array-like input, boolean ndarrays or ExtensionArrays with ``_is_boolean`` set are considered boolean indexers. Returns ------- bool Whether `key` is a valid boolean indexer. Raises ------ ValueError When the array is an object-dtype ndarray or ExtensionArray and contains missing values. See Also -------- check_array_indexer : Check that `key` is a valid array to index, and convert to an ndarray. z=Cannot mask with non-boolean array containing NA / NaN values�booleanFTr )� isinstancer �np�ndarrayr r r �dtype�object_�asarrayr Z is_bool_arrayZ infer_dtyper �anyr* r �list�len�typeZ is_bool_list)r. Zna_msgr" r" r# �is_bool_indexerd s$ r; F)� warn_floatc C s2 t �| �r.| �� r.|r&tjdtdd� t| �S | S )a To avoid numpy DeprecationWarnings, cast float to integer where valid. Parameters ---------- val : scalar warn_float : bool, default False If True, issue deprecation warning for a float indexer. Returns ------- outval : scalar z�Indexing with a float is deprecated, and will raise an IndexError in pandas 2.0. You can manually convert to an integer key instead.� )� stacklevel)r Zis_floatr �warnings�warn� FutureWarning�int)�valr< r" r" r# �cast_scalar_indexer� s rD c G s dd� | D �S )zL Returns a generator consisting of the arguments that are not None. c s s | ]}|d k r|V qd S )Nr" )�.0�argr" r" r# � <genexpr>� s znot_none.<locals>.<genexpr>r" )�argsr" r" r# �not_none� s rI )r/ c G s t dd� | D ��S )z? Returns a boolean indicating if any argument is None. c s s | ]}|d kV qd S )Nr" )rE rF r" r" r# rG � s zany_none.<locals>.<genexpr>)r7 )rH r" r" r# �any_none� s rJ c G s t dd� | D ��S )zA Returns a boolean indicating if all arguments are None. c s s | ]}|d kV qd S )Nr" )rE rF r" r" r# rG � s zall_none.<locals>.<genexpr>)�all)rH r" r" r# �all_none� s rL c G s t dd� | D ��S )zC Returns a boolean indicating if any argument is not None. c s s | ]}|d k V qd S )Nr" )rE rF r" r" r# rG � s z any_not_none.<locals>.<genexpr>)r7 )rH r" r" r# � any_not_none� s rM c G s t dd� | D ��S )zE Returns a boolean indicating if all arguments are not None. c s s | ]}|d k V qd S )Nr" )rE rF r" r" r# rG � s z all_not_none.<locals>.<genexpr>)rK )rH r" r" r# � all_not_none� s rN rB c G s t dd� | D ��S )z; Returns the count of arguments that are not None. c s s | ]}|d k V qd S )Nr" )rE �xr" r" r# rG � s z!count_not_none.<locals>.<genexpr>)�sum)rH r" r" r# �count_not_none� s rQ zNpDtype | Nonez np.ndarray)r4 r/ c C s� t | ttf�s"t| d�s"t| �} nt | t�r2| jS t | t�rR|tjtgkrRt | �S tj | |d�}t |j j t�r|tj | td�}|jdkr�dd� | D �} t | �}|S )NZ __array__)r4 � c S s g | ] }t |��qS r" )�tuple)rE rO r" r" r# � <listcomp>� s z%asarray_tuplesafe.<locals>.<listcomp>)r1 r8 rS �hasattrr Z_valuesr2 r5 �objectr r6 � issubclassr4 r: �str�ndim)�valuesr4 �resultr" r" r# �asarray_tuplesafe� s r\ c C s\ t | ttf�r| g} t | ttjf�sLy t| �} W n tk rJ | g} Y nX t| |d�} | S )z� Transform label or iterable of labels to array, for use in Index. Parameters ---------- dtype : dtype If specified, use as dtype of the resulting array, otherwise infer. Returns ------- array )r4 )r1 rX rS r8 r2 r3 � TypeErrorr\ )�labelsr4 r" r" r# �index_labels_to_array� s r_ c C s | d k r t | ttf�s | gS | S )N)r1 rS r8 )r+ r" r" r# �maybe_make_list s r` zIterable[T] | TzCollection[T] | T)r+ r/ c C s. t | tj�r t | tj�s t| �S tt| �} | S )zB If obj is Iterable but not list-like, consume into list. )r1 r r �Sizedr8 r r )r+ r" r" r# �maybe_iterable_to_list s rb c C s( t | t�o&| jdko&| jdko&| jdkS )z We have a null slice. N)r1 �slice�start�stop�step)r+ r" r" r# � is_null_slice) s rg z list[bool]c C s dd� | D �S )zX Find non-trivial slices in "line": return a list of booleans with same length. c S s g | ]}t |t�ot|� �qS r" )r1 rc rg )rE �kr" r" r# rT 9 s z"is_true_slices.<locals>.<listcomp>r" )r& r" r" r# �is_true_slices5 s ri )r& r/ c C s( t | t�o&| jdko&| j|ko&| jdkS )z& We have a full length slice. r N)r1 rc rd re rf )r+ r& r" r" r# � is_full_slice= s rj c C s> t | d�rt| d�S t| t�r(t| j�S t| �r:t| �jS d S )Nr ) rU �getattrr1 r �get_callable_name�func�callabler: r )r+ r" r" r# rl I s rl c K s t | �r| |f|�S | S )z� Evaluate possibly callable input using obj and kwargs if it is callable, otherwise return as it is. Parameters ---------- maybe_callable : possibly a callable obj : NDFrame **kwargs )rn )Zmaybe_callabler+ �kwargsr" r" r# �apply_if_callableZ s rp c C sX t �| �s(t| t�r tt| j�S t| �} t| tj �sDt d| � ���n| tkrTt d��| S )a Helper function to standardize a supplied mapping. Parameters ---------- into : instance or subclass of collections.abc.Mapping Must be a class, an initialized collections.defaultdict, or an instance of a collections.abc.Mapping subclass. Returns ------- mapping : a collections.abc.Mapping subclass or other constructor a callable object that can accept an iterator to create the desired Mapping. See Also -------- DataFrame.to_dict Series.to_dict zunsupported type: z/to_dict() only accepts initialized defaultdicts) �inspect�isclassr1 r r �default_factoryr: rW r �Mappingr] )Zintor" r" r# �standardize_mappingk s ru c C sZ t | �s"t| �s"ts.t| tjj�r.tj�| �S t| tjj�r@| S | dkrNtjS td��dS )a� Helper function for processing random_state arguments. Parameters ---------- state : int, array-like, BitGenerator (NumPy>=1.17), np.random.RandomState, None. If receives an int, array-like, or BitGenerator, passes to np.random.RandomState() as seed. If receives an np.random.RandomState object, just returns object. If receives `None`, returns np.random. If receives anything else, raises an informative ValueError. .. versionchanged:: 1.1.0 array-like and BitGenerator (for NumPy>=1.18) object now passed to np.random.RandomState() as seed Default None. Returns ------- np.random.RandomState or np.random if state is None NzYrandom_state must be an integer, array-like, a BitGenerator, a numpy RandomState, or None) r r r r1 r2 �randomZ BitGeneratorZ RandomStater* )�stater" r" r# � random_state� s rx z/Callable[..., T] | tuple[Callable[..., T], str]r )rm r/ c O sR t |t�r>|\}}||kr,|� d�}t|��| ||< |||�S || f|�|�S dS )ar Apply a function ``func`` to object ``obj`` either by passing obj as the first argument to the function or, in the case that the func is a tuple, interpret the first element of the tuple as a function and pass the obj to that function as a keyword argument whose key is the value of the second element of the tuple. Parameters ---------- func : callable or tuple of (callable, str) Function to apply to this object or, alternatively, a ``(callable, data_keyword)`` tuple where ``data_keyword`` is a string indicating the keyword of `callable`` that expects the object. *args : iterable, optional Positional arguments passed into ``func``. **kwargs : dict, optional A dictionary of keyword arguments passed into ``func``. Returns ------- object : the return type of ``func``. z/ is both the pipe target and a keyword argumentN)r1 rS r* )r+ rm rH ro �target�msgr" r" r# �pipe� s r{ c s& t � tjtf�r � fdd�}n� }|S )zv Returns a function that will map names/labels, dependent if mapper is a dict, Series or just a function. c s | � kr� | S | S d S )Nr" )rO )�mapperr" r# �f� s z get_rename_function.<locals>.f)r1 r rt r )r| r} r" )r| r# �get_rename_function� s r~ z Scalar | Iterable | AnyArrayLikezlist | AnyArrayLike)rZ r/ c C s> t | ttjtttf�r| S t | tj�r8t | t �s8t| �S | gS )z� Convert list-like or scalar input to list-like. List, numpy and pandas array-like inputs are returned unmodified whereas others are converted to list. ) r1 r8 r2 r3 r r r r r rX )rZ r" r" r# �convert_to_list_like� s r rX zIterator[None])�attrr/ c c s, t | |�}t| ||� | V t| ||� dS )z�Temporarily set attribute on an object. 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