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jG d�� eH d�k r�eI d�� eI � eF � eI � eI d�� eI � e. � d S(� a� Locale support.
The module provides low-level access to the C lib's locale APIs
and adds high level number formatting APIs as well as a locale
aliasing engine to complement these.
The aliasing engine includes support for many commonly used locale
names and maps them to values suitable for passing to the C lib's
setlocale() function. It also includes default encodings for all
supported locale names.
� N)�str� getlocale�getdefaultlocale�getpreferredencoding�Error� setlocale� resetlocale�
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LC_NUMERIC�LC_ALL�CHAR_MAXc C s | | k | | k S)zZ strcoll(string,string) -> int.
Compares two strings according to the locale.
� )�a�br r �6/opt/rh/rh-python35/root/usr/lib64/python3.5/locale.py�_strcoll" s r c C s | S)z\ strxfrm(string) -> string.
Returns a string that behaves for cmp locale-aware.
r )�sr r r �_strxfrm( s r )�*� � � � � � � c $ C ss d d g d d d d d d d d d g d d d
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d d d d d d d d d d d d d d d d d i S)zd localeconv() -> dict.
Returns numeric and monetary locale-specific parameters.
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thousands_sep�mon_thousands_sep� frac_digits�mon_decimal_point�int_frac_digitsr r r r r r @ s$ c C s | d k r t d � � d S)zd setlocale(integer,string=None) -> string.
Activates/queries locale processing.
Nr* �Cz*_locale emulation only supports "C" locale)Nr* r< )r )�category�valuer r r r X s c C s t � } t r | j t � | S)N)� _localeconv�_override_localeconv�update)�dr r r r m s
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rR zG%(?:\((?P<key>.*?)\))?(?P<modifiers>[-#0-9 +*.hlL]*?)[eEfFgGdiouxXcrs%]c G s` t j | � } | s4 t | j � � t | � k rJ t d t | � � � t | | | | | � S)z�Returns the locale-aware substitution of a %? specifier
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d k r� d } | r� t | d | �\ } } | r� t | | � } | S) Nr& ZeEfFgGr r1 rN r: r0 ZdiurH rH )�splitrQ r rM rR ) rX r> r( rN rY Z formattedZseps�partsr0 r r r rW � s(
rW c C sl t t j | � � } t j d | � } t | t j � r� g } x| D]K } | j � d d k rr | j d � qF | j t | j � | | � � qF Wn� t | t
� s� | f } g } d } x� | D]� } | j � d d k r� | j d � q� | j d � j d � } | j t | j � | | | d | | d | d | � � � | d | 7} q� Wt
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z�Formats a string in the same way that the % formatting would use,
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| | } | j d d � j d d � S) zIFormats val according to the currency settings
in the current locale.r; r9 r! z9Currency formatting is not possible using the 'C' locale.z%%.%ifrN T�<�>r5 r) r r- r, r/ r4 rF r* r+ r6 r2 r3 �(�)r& r' r# r% )r rC r �abs�replace) rf Zsymbolr( Z
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t d | � S)z9Convert float to integer, taking the locale into account.z%.12g)r )rf r r r r , s c C sN t � d } | r% | j | d � } t � d } | rJ | j | d � } | S)zHParses a string as a normalized number according to the locale settings.r7 r* r0 r1 )r rm )�string�tsZddr r r �
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rp c C s | t | � � S)z<Parses a string as a float according to the locale settings.)rp )rn �funcr r r r < s c C s t t | � � S)zAConverts a string to an integer according to the locale settings.)�intrp )rn r r r r
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rv c C s� d | k r( | d | j d � � } n | } t j | � } t j j j | j � | � } | } | j � } | t k r� t | } n: | j d d � } | j d d � } | t k r� t | } | d | S)Nr1 �_r* �-)�index� encodings�normalize_encoding�aliases�get�lower�locale_encoding_aliasrm )�code�encoding�langname�
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r� c C sm | d k ra d | k r | d S| j d � \ } } } | d k rH | S| d k ra t | d � S| d | S) N�euror1 z .ISO8859-15�
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a� Returns a normalized locale code for the given locale
name.
The returned locale code is formatted for use with
setlocale().
If normalization fails, the original name is returned
unchanged.
If the given encoding is not known, the function defaults to
the default encoding for the locale code just like setlocale()
does.
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St d | � � d S) a� Parses the locale code for localename and returns the
result as tuple (language code, encoding).
The localename is normalized and passed through the locale
alias engine. A ValueError is raised in case the locale name
cannot be parsed.
The language code corresponds to RFC 1766. code and encoding
can be None in case the values cannot be determined or are
unknown to this implementation.
r� r& r� r1 z iso-8859-15Nr' r< zunknown locale: %s)NN)r rZ rc rC )r� r� r� r r r �_parse_localename� s
r� c C si y> | \ } } | d k r! d } | d k r1 | S| d | SWn$ t t f k
rd t d � � Yn Xd S)z� Builds a locale code from the given tuple (language code,
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Nr< r1 zXLocale must be None, a string, or an iterable of two strings -- language code, encoding.)� TypeErrorrC )Z localetupleZlanguager� r r r �_build_localename� s r� �LANG�LANGUAGEc C s� y" d d l } | j � \ } } Wn t t f k
r< YnN Xt j d k r� | r� | d d � d k r� t j t | d � � } | | f Sd d l } | j
j } xI | D]; } | | d � } | r� | d k r� | j d � d } Pq� Wd } t | � S) a� Tries to determine the default locale settings and returns
them as tuple (language code, encoding).
According to POSIX, a program which has not called
setlocale(LC_ALL, "") runs using the portable 'C' locale.
Calling setlocale(LC_ALL, "") lets it use the default locale as
defined by the LANG variable. Since we don't want to interfere
with the current locale setting we thus emulate the behavior
in the way described above.
To maintain compatibility with other platforms, not only the
LANG variable is tested, but a list of variables given as
envvars parameter. The first found to be defined will be
used. envvars defaults to the search path used in GNU gettext;
it must always contain the variable name 'LANG'.
Except for the code 'C', the language code corresponds to RFC
1766. code and encoding can be None in case the values cannot
be determined.
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�_localeZ_getdefaultlocale� ImportError�AttributeError�sys�platform�windows_localer} rr �os�environrZ r� )Zenvvarsr� r� r� r� �lookupZvariabler� r r r r � s$ +
c C s: t | � } | t k r0 d | k r0 t d � � t | � S)ap Returns the current setting for the given locale category as
tuple (language code, encoding).
category may be one of the LC_* value except LC_ALL. It
defaults to LC_CTYPE.
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1766. code and encoding can be None in case the values cannot
be determined.
�;z category LC_ALL is not supported)�
_setlocaler r� r� )r= r� r r r r 2 s
c C s5 | r( t | t � r( t t | � � } t | | � S)a^ Set the locale for the given category. The locale can be
a string, an iterable of two strings (language code and encoding),
or None.
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engine. Locale strings are passed directly to the C lib.
category may be given as one of the LC_* values.
)r` � _builtin_strr r� r� )r= Zlocaler r r r D s c C s t | t t � � � d S)z� Sets the locale for category to the default setting.
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N)r� r� r )r= r r r r U s �winc C s d d l } | j d � S)z1Return the charset that the user is likely using.r NF)� _bootlocaler )� do_setlocaler� r r r r a s c C s# t � d } | d k r d } | S)zbReturn the charset that the user is likely using,
by looking at environment variables.r& N�ascii)r )r� �resr r r r k s
c C sj d d l } | rD t t � } y t t d � Wn t k
rC Yn X| j d � } | rf t t | � | S)zdReturn the charset that the user is likely using,
according to the system configuration.r Nr* F)r� r r r r )r� r� Zoldloc�resultr r r r t s
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Rosenblum TV: Video training, virtual workshops, classes, tutorials
RE-INVENTING THE TELEVISION NEWS BUSINESS*
A revolution in video storytelling
Creating entirely new & cost-effective production methods
From the world leaders in video production training and the creators of Character Driven Storytelling™
*and every other business that uses video
WHAT WE DO
Over the past 35 years, we have designed, built or restructured some of the most powerful news and journalism companies in the world.
We replace the traditional TV news ‘crew’ with one highly trained journalist, working alone with nothing but an iPhone.
No more TV news ‘crews’, no editors and no field producers.
This is television news done the way newspaper journalism is done – one reporter with their electronic pad and pencil.
In doing this, we can cut the cost of production by as much as 75% while increasing ratings and audience engagement.
In the place of conventional TV news ‘packages’ – ie, reporter stand up, interview, b-roll, man on the street, we marry great journalism with Netflix and Hollywood storytelling.
It’s a combination that works.
We have taken most of our clients to #1 in their respective markets.
And it’s not just for news. Any company, any profit, any NGO and anyone else who is online needs to tell their story in compelling yet cost-effective video. We can teach you to do that. Either in person or virtually.
EXAMPLES OF WHAT WE CAN TEACH YOUR STAFF TO PRODUCE
ITAY HOD
Itay Hod, MMJ with KPIX/CBS in San Francisco, took the 5-Day Intensive Video Storytelling Bootcamp in 2018.
Because he works alone, with only an iPhone, he was able to embed himself with a homeless family.
Here’s the story he produced in a one-day turn.
KIET DO
Kiet Do, an MMJ with KPIX/CBS in San Francisco, took the 5-Day Intensive Video Storytelling Bootcamp in 2021.
Here is a story he produced, all on his own, with only an iPhone and in a one-day turn.
TAYLOR SCHAUB
Taylor Schaub, an MMJ with Spectrum News 1 in LA, took the 5-Day Intensive Video Storytelling Bootcamp in 2023.
Here is a story he turned in only one day, using only an iPhone. It was the first video story he ever did and it was nominated for an Emmy.
THE BOOTCAMP
How do we convert stations and whole networks to working in this way?
Since 1988, we have run intensive 5-Day Video Storytelling Bootcamps
We have done these all over the world.
These are hands-on bootcamps, and participants learn an entirely new way of creating TV news stories.
-We shoot at a 3:1 ratio or lower, so turnaround times are fast.
-We go directly from camera to timelilne and edit – no written scripts. We work in the medium of pictures and sound.
-We are entirely character-driven.
-We are driven by pictures and real events.
-We are focused almost entirely on ’the viewer experience’.
Since 1988, more than 70,000 journalists around the world have taken our bootcamps, either in person on virtualy.
We have started to work with CBS News, bringing our ideas of character-driven storytelling to one of the most successful and biggest networks in the United States. Since beginning to work with them ratings have climbed and more importantly, audience engagement is through the ceiling.
We started New York Times Television in 1990 and it was the first paper to be brought into the world of TV. It quickly became one of the most successful non-fiction production companies in the United States. The series and documentaries we produced won many awards including multiple Emmys.
We have been working with the BBC since the year 2000 helping to convert their national news network to our visual storytelling technique. Most recently we have trained teams from their sports, documentaries, and comedy divisions to make character-driven stories using only smartphones.
For the past five years we have worked with Spectrum News to introduce and train their journalists on visual, character driven storytelling using smartphones helping to create a different kind of local news for their network of 24-Hour News Stations across the United States.
In 2006, we were approached by the United Nations. Rather than rely on news outlets, it would be much easier to train the field operatives to produce their own stories. We spent two years working with the UN, training more than 100 of their staff in bootcamps in Geneva and Nairobi.
We trained 50 print reporters at the paper to shoot and tell their own stories, in conjunction with their print work. We built a TV newsroom in their existing print newsroom – you could not ask for a better set and they began to live stream their stories in conjunction with their print work.
We spent two years with McGraw Hill, training more than 150 of their staffers, making them completely video literate. McGraw/Hill media properties we transit included Business Week, Aviation Week, (what was the name of the architecture magazine), and JD Power and Associates.
In 1990, we were approached by The Voice of America, the official broadcasting agency for the United States Government. When we met with VOA, they were only a short wave radio broadcaster, but working with them, we took them into television, launching VOA-TV.
British based Oyster Yachts makes some of the finest yachts in the world. Like every other company, they had to find a way to feed the never-ending video demands of social media – sites like Instagram and TikTok. We trained the Oyster staff to tell their own stories, using only iPhones.
We were approached by SEPA, the Scottish Environmental Protection Agency because they had to continually find a way to ‘feed the media beast’. The result was that SEPA was able to tell their own stories, whenever they wanted, and at almost no additional cost.
Michael Rosenblum has been writing about the media since 1988. His work and ideas have appeared in The Guardian, The Huffington Post, Ilkeston Life and many other publications.
He has been blogging regularly for the past 35 years on this subject. Having taught media studies at Columbia University, NYU and now the University of Oxford, he is considered an expert on this subject.
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