U mdr7@sZdZddlmZddlmZmZmZmZddlZ ddl m Z ddl m Z mZedeeZedeedZd d Zd d Zd dddZddZd dddZd dddZdzV Module that contains many useful utilities for validating data or function arguments ) annotations)IterableSequenceTypeVaroverloadN)lib)is_bool is_integerBoolishT BoolishNoneTc Csl|dkrtdt|t|krht||}t||}|dkrDdnd}t|d|d|d|d d S) z Checks whether 'args' has length of at most 'compat_args'. Raises a TypeError if that is not the case, similar to in Python when a function is called with too many arguments. rz*'max_fname_arg_count' must be non-negativeargument argumentsz() takes at most  z (z given)N) ValueErrorlen TypeError)fnameargsmax_fname_arg_count compat_argsZ max_arg_countZactual_arg_countr rP/home/sam/Atlas/atlas_env/lib/python3.8/site-packages/pandas/util/_validators.py_check_arg_lengths  rc Cs|D]}zR||}||}|dk r*|dks:|dkr@|dk r@d}n||k}t|sXtdWn$tk r~||||k}YnX|std|d|dqdS)z Check that the keys in `arg_val_dict` are mapped to their default values as specified in `compat_args`. Note that this function is to be called only when it has been checked that arg_val_dict.keys() is a subset of compat_args NFz'match' is not a booleanzthe 'z=' parameter is not supported in the pandas implementation of z())rr)rZ arg_val_dictrkeyZv1Zv2matchrrr_check_for_default_values/s  rNone)returncCs,t||||tt||}t|||dS)a Checks whether the length of the `*args` argument passed into a function has at most `len(compat_args)` arguments and whether or not all of these elements in `args` are set to their default values. Parameters ---------- fname : str The name of the function being passed the `*args` parameter args : tuple The `*args` parameter passed into a function max_fname_arg_count : int The maximum number of arguments that the function `fname` can accept, excluding those in `args`. Used for displaying appropriate error messages. Must be non-negative. compat_args : dict A dictionary of keys and their associated default values. In order to accommodate buggy behaviour in some versions of `numpy`, where a signature displayed keyword arguments but then passed those arguments **positionally** internally when calling downstream implementations, a dict ensures that the original order of the keyword arguments is enforced. Raises ------ TypeError If `args` contains more values than there are `compat_args` ValueError If `args` contains values that do not correspond to those of the default values specified in `compat_args` N)rdictzipr)rrrrkwargsrrr validate_argsUs r"cCs8t|t|}|r4t|d}t|d|ddS)z} Checks whether 'kwargs' contains any keys that are not in 'compat_args' and raises a TypeError if there is one. rz'() got an unexpected keyword argument ''N)setlistr)rr!rdiffZbad_argrrr_check_for_invalid_keys~s r'cCs$|}t|||t|||dS)a Checks whether parameters passed to the **kwargs argument in a function `fname` are valid parameters as specified in `*compat_args` and whether or not they are set to their default values. Parameters ---------- fname : str The name of the function being passed the `**kwargs` parameter kwargs : dict The `**kwargs` parameter passed into `fname` compat_args: dict A dictionary of keys that `kwargs` is allowed to have and their associated default values Raises ------ TypeError if `kwargs` contains keys not in `compat_args` ValueError if `kwargs` contains keys in `compat_args` that do not map to the default values specified in `compat_args` N)copyr'r)rr!rkwdsrrrvalidate_kwargss r*cCsht||t|||tt||}|D] }||kr,t|d|dq,||t|||dS)a Checks whether parameters passed to the *args and **kwargs argument in a function `fname` are valid parameters as specified in `*compat_args` and whether or not they are set to their default values. Parameters ---------- fname: str The name of the function being passed the `**kwargs` parameter args: tuple The `*args` parameter passed into a function kwargs: dict The `**kwargs` parameter passed into `fname` max_fname_arg_count: int The minimum number of arguments that the function `fname` requires, excluding those in `args`. Used for displaying appropriate error messages. Must be non-negative. compat_args: dict A dictionary of keys that `kwargs` is allowed to have and their associated default values. Raises ------ TypeError if `args` contains more values than there are `compat_args` OR `kwargs` contains keys not in `compat_args` ValueError if `args` contains values not at the default value (`None`) `kwargs` contains keys in `compat_args` that do not map to the default value as specified in `compat_args` See Also -------- validate_args : Purely args validation. validate_kwargs : Purely kwargs validation. z-() got multiple values for keyword argument 'r#N)rtuplevaluesrr rupdater*)rrr!rrZ args_dictrrrrvalidate_args_and_kwargss( r.TFbool)value none_allowed int_allowedrcCsNt|}|r|p|dk}|r*|p(t|t}|sJtd|dt|jd|S)aR Ensure that argument passed in arg_name can be interpreted as boolean. Parameters ---------- value : bool Value to be validated. arg_name : str Name of the argument. To be reflected in the error message. none_allowed : bool, default True Whether to consider None to be a valid boolean. int_allowed : bool, default False Whether to consider integer value to be a valid boolean. Returns ------- value The same value as input. Raises ------ ValueError If the value is not a valid boolean. NzFor argument "z$" expected type bool, received type .)r isinstanceintrtype__name__)r0Zarg_namer1r2Z good_valuerrrvalidate_bool_kwargs r8)validate_scalar_dict_valuecCsddlm}|dkr$|dkr$td|dkr>|dk r>||}nR|dk rx|dkrx|rt|ttfrtdt|jdn|dk r|dk rtd||fS)a$ Validate the keyword arguments to 'fillna'. This checks that exactly one of 'value' and 'method' is specified. If 'method' is specified, this validates that it's a valid method. Parameters ---------- value, method : object The 'value' and 'method' keyword arguments for 'fillna'. validate_scalar_dict_value : bool, default True Whether to validate that 'value' is a scalar or dict. Specifically, validate that it is not a list or tuple. Returns ------- value, method : object r)clean_fill_methodNz(Must specify a fill 'value' or 'method'.z>"value" parameter must be a scalar or dict, but you passed a ""z)Cannot specify both 'value' and 'method'.) Zpandas.core.missingr:rr4r%r+rr6r7)r0methodr9r:rrrvalidate_fillna_kwargs s  r=zfloat | Iterable[float]z np.ndarray)qrcCsjt|}d}|jdkrBd|kr,dksfnt||dn$tdd|Dsft||d|S)a Validate percentiles (used by describe and quantile). This function checks if the given float or iterable of floats is a valid percentile otherwise raises a ValueError. Parameters ---------- q: float or iterable of floats A single percentile or an iterable of percentiles. Returns ------- ndarray An ndarray of the percentiles if valid. Raises ------ ValueError if percentiles are not in given interval([0, 1]). zApercentiles should all be in the interval [0, 1]. Try {} instead.rr gY@css&|]}d|kodknVqdS)rr Nr).0qsrrr Nsz&validate_percentile..)npZasarrayndimrformatall)r>Zq_arrmsgrrrvalidate_percentile1s  rG) ascendingrcCsdSNrrHrrrvalidate_ascendingSsrKzSequence[BoolishT]zlist[BoolishT]cCsdSrIrrJrrrrKXszbool | int | Sequence[BoolishT]zbool | int | list[BoolishT]cs4dddt|ts"t|dfSfdd|DS)z8Validate ``ascending`` kwargs for ``sort_index`` method.FT)r1r2rHcsg|]}t|dfqSrJ)r8)r?itemr!rr esz&validate_ascending..)r4rr8rJrrMrrK]s  z str | Noneztuple[bool, bool])closedrcCsFd}d}|dkrd}d}n$|dkr(d}n|dkr6d}ntd||fS)a% Check that the `closed` argument is among [None, "left", "right"] Parameters ---------- closed : {None, "left", "right"} Returns ------- left_closed : bool right_closed : bool Raises ------ ValueError : if argument is not among valid values FNTleftrightz/Closed has to be either 'left', 'right' or None)r)rOZ left_closedZ right_closedrrrvalidate_endpointshsrR) inclusivercCs6d}t|tr"ddddd|}|dkr2td|S)aD Check that the `inclusive` argument is among {"both", "neither", "left", "right"}. Parameters ---------- inclusive : {"both", "neither", "left", "right"} Returns ------- left_right_inclusive : tuple[bool, bool] Raises ------ ValueError : if argument is not among valid values N)TT)TF)FT)FF)ZbothrPrQZneitherz?Inclusive has to be either 'both', 'neither', 'left' or 'right')r4strgetr)rSZleft_right_inclusiverrrvalidate_inclusives rVr5)loclengthrcCsZt|std|d||dkr,||7}d|kr@|ksVntd|d||S)z Check that we have an integer between -length and length, inclusive. Standardize negative loc to within [0, length]. The exceptions we raise on failure match np.insert. z loc must be an integer between -z and r)r r IndexError)rWrXrrrvalidate_insert_locsrZcCs&|tjk r"|dkr"td|ddS)N)Znumpy_nullableZpyarrowzdtype_backend z= is invalid, only 'numpy_nullable' and 'pyarrow' are allowed.)rZ no_defaultr)Z dtype_backendrrrcheck_dtype_backends   r[)TF)T)!__doc__ __future__rtypingrrrrnumpyrBZ pandas._libsrZpandas.core.dtypes.commonrr r/r5r r rrr"r'r*r.r8r=rGrKrRrVrZr[rrrrs6   &) ;*'" !"