Current File : //proc/227033/root/opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyc
�
� 9Zc
@` s d Z d d l m Z m Z m Z d d l Z d d l Z d d l Z d d l j
j Z d d l
m Z d d l m Z m Z m Z m Z m Z d d l m Z m Z e j
j j Z e j Z d d l j Z d d l m Z m Z m! Z! m" Z" m# Z# m$ Z$ m% Z% m& Z& e j
j' Z' d d d
d d d
g Z( d d d d g Z) d � Z* e+ d � Z, d � Z- d e e. f d � � YZ/ d � Z0 e/ Z1 e+ e+ e+ e+ e+ e2 e+ e+ d � Z e+ e+ e+ e+ e+ e2 e+ e+ e" d � Z d � Z3 d � Z4 e+ d d e+ e+ d � Z5 e+ d � Z6 d S( s, :mod:`numpy.ma..mrecords`
Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
where fields can be accessed as attributes.
Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
and the masking of individual fields.
.. moduleauthor:: Pierre Gerard-Marchant
i ( t divisiont absolute_importt print_functionN( t
basestring( t bool_t dtypet ndarrayt recarrayt array( t
fromarrayst fromrecords( t MAErrort MaskedArrayt maskedt nomaskt masked_arrayt getdatat getmaskarrayt filledt
MaskedRecordst mrecarrayR R
t fromtextfilet addfieldt _datat _maskt
_fieldmaskR c C` s� t | d � r9 d j g | j j D] } | d ^ q" � Sd } xi | D]a } t j | � } | t | j j 7} t | j j t j
� r� | t | j � 7} n | d 7} qF W| d S( sR
Returns the formats of arrays in arraylist as a comma-separated string.
R t ,i t i����(
t hasattrt joinR t descrt npt asarrayt _typestrt typet
issubclasst ntypest flexiblet reprt itemsize( t datat desct formatst obj( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt _getformats3 s *
c
C` s[ t | � } g t | � D] } d | ^ q } | d k rD | } n~ t | t t f � rb | } n7 t | t � r� | j d � } n t d t | � � � t | � } | | k r� | | | 7} n g } x� t
| | | j � D]l \ } } } | t k r3| d t k r#| j
| | d f � qJ| j
| � q� | j
| | d f � q� Wt j | � S( s�
Checks that field names ``descr`` are not reserved keywords.
If this is the case, a default 'f%i' is substituted. If the argument
`names` is not None, updates the field names to valid names.
s f%iR s illegal input names %si i N( t lent ranget Nonet
isinstancet tuplet listt strt splitt NameErrorR& t zipR t reserved_fieldst appendR R (
R t namest ndescrt it
default_namest new_namest nnamest nt dt t( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt _checknamesE s( # % c C` s] g | j j D] } | d f ^ q
} t j | j d | �} t t g t | � � | _ | S( Ns |b1R ( R R9 R t emptyt shapeR1 t FalseR- t flat( t selfR? t mdescrt fdmask( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt _get_fieldmaskg s % c B` s
e Z d Z d d d d d d d d e e e d e e d � Z d � Z d � Z e
d e � Z d � Z e
d e � Z
d � Z d � Z d � Z d
� Z d � Z d � Z d
� Z d d d � Z d � Z d � Z d � Z d d � Z d � Z d � Z d � Z RS( s�
Attributes
----------
_data : recarray
Underlying data, as a record array.
_mask : boolean array
Mask of the records. A record is masked when all its fields are
masked.
_fieldmask : boolean recarray
Record array of booleans, setting the mask of each individual field
of each record.
_fill_value : record
Filling values for each field.
i c K` s� t j | | d | d | d | d | d | d | d | d | d |
� } t j | j � } | t k sv t j | � r� | s�t t g t
| � � | _ q�n&t j | d
| �} | j
| j
k rI| j | j } } | d k r� t j | | j
� } nD | | k r t j | | j
� } n d d
} t | | | f � � t } n | sh| j | � t | _ n\ | j | k r�| } n; t j g | D] } t | g t
| � � ^ q�d | �} | | _ | S( NR t buft offsett stridesR* R9 t titlest byteordert alignedt copyi s/ Mask and data not compatible: data size is %i, s mask size is %i.( R t __new__t mat make_mask_descrR R R t sizeR1 RE R- R R RD t resizet reshapeR t Truet __setmask__t _sharedmask( t clsRD R RK RL RM R* R9 RN RO RP t maskt hard_maskt
fill_valuet keep_maskRQ t optionsRG t mdtypet ndt nmt msgR t m( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyRR � s8 ! "
2 c C` s t | d d � } | d k r� t | d t � } t j | d � } | t k ri t j | j d | �} q� t j | � } t g | D] } t
| g t | � � ^ q� d | �j t
� } n | j } | j d | � | j | � | d t k r� t
| d <n d S( NR R t
_baseclass( t getattrR/ R R t __getattribute__RS t make_mask_noneRD RT t narrayR1 R- t viewR t __dict__t updatet _update_from( RG R+ R t objmaskt _dtypeRH Re t _dict( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __array_finalize__� s /
c C` s t j | t � S( s2
Returns the data as a recarray.
( R Rk R ( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt _getdata� s t fgetc C` s | j S( s!
Alias to mask.
( R ( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt
_getfieldmask� s c C` s# | j r t | j � St | j � S( s%
Returns the length
( t ndimR- R R ( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __len__� s
c
C` s� y t j | | � SWn t k
r' n Xt j | d � j } y | | d } Wn' t t f k
rx t d | � � n Xt j | d � } t j | | d � } | j | � } | j j r� t
d � � n t } | j d d � } | d k rAy | | } Wn t k
rn X| j t j t | j � p/d f � j � } n | j sP| r�| j t � } t | _ t | _ | | _ | j d d � } | d k r�y | | | _ Wq�t k
r�d | _ q�Xq�n | j � } | S(
NR i s record array has no attribute %sRl Rf s4 MaskedRecords is currently limited tosimple records.R i t _fill_value( t objectRh t AttributeErrorR t fieldst TypeErrort KeyErrorRk t getfieldR t NotImplementedErrorRE t getR/ t
IndexErrorR t boolR- t anyRD R Rf RX t _isfieldR Rx t
ValueErrort item(
RG t attrt fielddictt rest
_localdictR R+ t hasmaskedR Rx ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyRh � sF
0
c C` s� | d k r | j | � d St j | d � } | | k } y t j | | | � } Wnw t j | d � j pr i } t j | d � p� i } | | k p� | | k s!t j � d \ } } | | � � q!nT Xt j | d � j p� i } | | k r� | S| r!y t j | | � Wq!| SXn y | | d }
Wn' t t
f k
r\t d | � � n X| t k r�| d } | d k r�| d | } n | } t }
n t | � } t | � }
t j | d
� j | |
� } | d j | |
� | S(
s<
Sets the attribute attr to the value val.
R\ t fieldmaskNRl R t _optinfoi s record array has no attribute %sRx R R ( R\ R� ( RY Ry Rh t __setattr__R R{ t syst exc_infot __delattr__R| R} Rz R
R/ RX R R t setfieldt __setitem__( RG R� t valR� t newattrt retR� t optinfot exctypet valueR� Rx t dvalt mvalR+ ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR� sH
c C` s� | j } t j | d � } t j | | d � } t | t � r� | | j t � } | | | _ t | _ | d } | d k r� | | | _ n | j r� | j r� t
S| St j | | d t �j t � } t j | | d t �j t � | _ | S( s�
Returns all the fields sharing the same fieldname base.
The fieldname base is either `_data` or `_mask`.
R Rf Rx RQ N( Rl R Rh Rk R0 R R R RX RZ R/ Rx Rv R
R R RE R R ( RG t indxR� R R R+ t fval( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __getitem__? s
"%c C` s? t j | | | � t | t � r; t j | � | j | <n d S( s2
Sets the given record to value.
N( R R� R0 R RS R R ( RG R� R� ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR� _ s c C` s | j d k r� g t g | j j D] } t | | � ^ q" � D]2 } d d j g | D] } t | � ^ qT � ^ q> } d d j | � Sg t g | j j D] } t | | � ^ q� � D]2 } d d j g | D] } t | � ^ q� � ^ q� } d d j | � Sd S( s8
Calculates the string representation.
i s (%s)R s [%s]s , s %sN( RU R6 R R9 Rg R R3 ( RG t ft sR; t mstr( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __str__h s ddc C` s� | j j } d t g | D] } t | � ^ q � d f } g | j j D] } | | t | | � f ^ qI } | j d d � | j | d | j f d g � t d j | � � S( s6
Calculates the repr representation.
s %%%is : %%si i s masked_records(s fill_values )s
(
R R9 t maxR- Rg t insertt extendR^ R3 R ( RG t _namesR? t fmtR� t reprstr( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __repr__v s 02
c C` s� | d k r? | d k r* t j | � } q(t j | | � } n� | d k ry@ t | t � rx t j | | � } d } n t j | | � } Wq(t k
rt j | � } | j d k r� | j j d } | j
� j | | � } | j | � n t j | | � } d | _ q(Xn t j | | | � } t
| d t � t k r|t j | j � } | j j | t � | _ | j | j _ n | S( s3
Returns a view of the mrecarray.
i R N( R/ R Rk R# R| R R R{ t __class__t __bases__t __array__Rn Rx Rg R RS RT R RD ( RG R R" t outputt basetypeRa ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyRk � s0
c C` s
t | _ d S( s+
Forces the mask to hard.
N( RX t _hardmask( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt harden_mask� s c C` s
t | _ d S( s*
Forces the mask to soft
N( RE R� ( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt soften_mask� s c C` s4 | j j � j t | � � } | j j � | _ | S( s7
Returns a copy of the masked record.
( R RQ Rk R" R ( RG t copied( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyRQ � s c C` sf | d k r | j | � j � St | j � j � d t �} t | j j � � } d | | <| j � S( s
Return the data portion of the array as a list.
Data items are converted to the nearest compatible Python type.
Masked values are converted to fill_value. If fill_value is None,
the corresponding entries in the output list will be ``None``.
R N( R/ R t tolistRj Ry R ( RG R^ t resultR\ ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR� � s
c C` s@ d | j | j | j j | j j � | j j � | j f } | S( sW Return the internal state of the masked array.
This is for pickling.
i ( RD R t flagst fncR t tobytesR Rx ( RG t state( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt __getstate__� s c C` s� | \ } } } } } } } t j | | | | | f � t g | j j D] \ } }
| t f ^ qG � } | j d j | | | | f � | | _ d S( st
Restore the internal state of the masked array.
This is for pickling. ``state`` is typically the output of the
``__getstate__`` output, and is a 5-tuple:
- class name
- a tuple giving the shape of the data
- a typecode for the data
- a binary string for the data
- a binary string for the mask.
R N( R t __setstate__R R R Rl R^ ( RG R� t vert shpt typt isft rawt mskt flvt kt _Ra ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR� � s
1 c C` s% t | j | j d d f | j � f S( s?
Return a 3-tuple for pickling a MaskedArray.
i t b( i ( t _mrreconstructR� Rf R� ( RG ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt
__reduce__� s N( t __name__t
__module__t __doc__R/ RE R RX RR Rr Rs t propertyR Ru R Rw Rh R� R� R� R� R� Rk R� R� RQ R� R� R� R� ( ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR n s4 % - 8
) c C` sO t j | | | � j | � } t j t | d � } | j | | d | d | �S( sK
Build a new MaskedArray from the information stored in a pickle.
t b1R\ R ( R RR Rk ( t subtypet baseclasst baseshapeR� R R ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR� s c
C` s� g | D] } t | � ^ q }
g | D] } t j t | � � ^ q& } t |
d | d | d | d | d | d | d | �j t � } t t | � � | j _
| d k r� | | _ n | S( s
Creates a mrecarray from a (flat) list of masked arrays.
Parameters
----------
arraylist : sequence
A list of (masked) arrays. Each element of the sequence is first converted
to a masked array if needed. If a 2D array is passed as argument, it is
processed line by line
dtype : {None, dtype}, optional
Data type descriptor.
shape : {None, integer}, optional
Number of records. If None, shape is defined from the shape of the
first array in the list.
formats : {None, sequence}, optional
Sequence of formats for each individual field. If None, the formats will
be autodetected by inspecting the fields and selecting the highest dtype
possible.
names : {None, sequence}, optional
Sequence of the names of each field.
fill_value : {None, sequence}, optional
Sequence of data to be used as filling values.
Notes
-----
Lists of tuples should be preferred over lists of lists for faster processing.
R RD R* R9 RN RP RO N(
R R t
atleast_1dR t
recfromarraysRk R R2 R6 R RF R/ R^ (
t arraylistR RD R* R9 RN RP RO R^ t xt datalistt masklistt _array( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR s ( c
C` su t | d d � }
t | t � ro t | t � rH | j � j t � } n | d k r` | j } n | j � } n t | d | d | d | d | d | d | d | �j t
� } | d k r� | | _ n | t k rXt
j | d t �} t | j � } | r | | j _ qXt | j � d
k rHg | D] }
t |
� ^ q'| j _ qX| j | � n |
d k rq|
| j (n | S( sN
Creates a MaskedRecords from a list of records.
Parameters
----------
reclist : sequence
A list of records. Each element of the sequence is first converted
to a masked array if needed. If a 2D array is passed as argument, it is
processed line by line
dtype : {None, dtype}, optional
Data type descriptor.
shape : {None,int}, optional
Number of records. If None, ``shape`` is defined from the shape of the
first array in the list.
formats : {None, sequence}, optional
Sequence of formats for each individual field. If None, the formats will
be autodetected by inspecting the fields and selecting the highest dtype
possible.
names : {None, sequence}, optional
Sequence of the names of each field.
fill_value : {None, sequence}, optional
Sequence of data to be used as filling values.
mask : {nomask, sequence}, optional.
External mask to apply on the data.
Notes
-----
Lists of tuples should be preferred over lists of lists for faster processing.
R R RD R* R9 RN RP RO RQ i N( Rg R/ R0 R R R Rk R R� t recfromrecordsR R^ R R R RE R- R RF RD R1 RY ( t reclistR RD R* R9 RN RP RO R^ R\ R t mrect maskrecordlengthRe ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR
< s. " (
c C` s( g } t j | � } t | j � d k r7 | d } n$ t | j � d k r[ t d � � n x� | D]� } y t | � Wn� t k
r y t | � WnY t k
r� y t | � Wn! t k
r� | j | j � qX| j t j t � � q X| j t j t � � qb X| j t j t � � qb W| S( s.
Tries to guess the dtypes of the str_ ndarray `arr`.
Guesses by testing element-wise conversion. Returns a list of dtypes.
The array is first converted to ndarray. If the array is 2D, the test
is performed on the first line. An exception is raised if the file is
3D or more.
i i s The array should be 2D at most!(
R R R- RD R� t intt floatt complexR8 R ( t arrt vartypesR� ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt _guessvartypes} s*
c C` s� t | d � r | Sy t | � } Wn! t k
rF t d | � � n X| j � d d k rq | j d d � | S| j � t d � � d S( s1
Opens the file handle of file `fname`.
t readlines No such file: '%s'i s \xi s Wow, binary fileN( R t opent IOErrorR� t seekt closeR ( t fnameR� ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt openfile� s
t #R c
C` s2 t | � } xT t rb | j � } | | j | � j � } | j | � } t | � d k r Pq q W| d k rx | } n t g | D]= } | d | k r� t | � d k r� | j � j | � ^ q� � }
|
j \ } } | j
� | d k r t |
d � } nt g | D] }
t j
|
� ^ q} t | � | k rtd } | d 7} t j | t | � | f � t |
d � } n g t | | � D] \ } } | | f ^ q�} g | D] } t j | � ^ q�} |
j | k } g t |
j | | | � D]0 \ } } } } t | d | d | d | �^ q�} t | d | �S( s�
Creates a mrecarray from data stored in the file `filename`.
Parameters
----------
fname : {file name/handle}
Handle of an opened file.
delimitor : {None, string}, optional
Alphanumeric character used to separate columns in the file.
If None, any (group of) white spacestring(s) will be used.
commentchar : {'#', string}, optional
Alphanumeric character used to mark the start of a comment.
missingchar : {'', string}, optional
String indicating missing data, and used to create the masks.
varnames : {None, sequence}, optional
Sequence of the variable names. If None, a list will be created from
the first non empty line of the file.
vartypes : {None, sequence}, optional
Sequence of the variables dtypes. If None, it will be estimated from
the first non-commented line.
Ultra simple: the varnames are in the header, one linei i s& Attempting to %i dtypes for %i fields!s Reverting to default.R\ R R^ N( R� RX R� t findt stripR4 R- R/ R RD R� R� R R t warningst warnR6 RS t default_fill_valuet TR ( R� t delimitort commentchart missingchart varnamesR� t ftextt linet firstlinet _varnamest
_variablesR� t nfieldst vRd R? R� RH t mfillvR t aRe RA t _datalist( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR � s6 @
"
."Lc C` s� | j } | j } | d k s* | t k r@ d t | j � } n t j | � } t j | j j | | j f g � } t
| j | � } g | j j j
� D]! } | j | j | � | � ^ q� | j | j | j j | � | j t � } t j g | j D] } | t f ^ q� � } t
| j | � }
g | j j j
� D]! } |
j | j | � | � ^ q:|
j t | � |
j j | � |
| _ | S( s� Adds a new field to the masked record array
Uses `newfield` as data and `newfieldname` as name. If `newfieldname`
is None, the new field name is set to 'fi', where `i` is the number of
existing fields.
s f%iN( R R R/ R7 R- R RS R R R R RD R{ t valuesR� R~ Rk R R9 R R ( t mrecordt newfieldt newfieldnameR R t newdtypet newdataR� R? t newmdtypet newmask( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyR � s& %5 +5 (7 R� t
__future__R R R R� R� t numpyR t numpy.core.numerictypest coret numerictypesR$ t numpy.compatR R R R R R Rj t numpy.core.recordsR R� R
R� t recordst _byteorderconvR! t numpy.maRS R R R
R R R R R t _check_fill_valuet __all__R7 R, R/ RB RJ Ry R R� R RE R� R� R R ( ( ( sD /opt/alt/python27/lib64/python2.7/site-packages/numpy/ma/mrecords.pyt <module>
sD ( : " � � ) ? % C
Mini Shell