"""Parser for command line options. This module helps scripts to parse the command line arguments in sys.argv. It supports the same conventions as the Unix getopt() function (including the special meanings of arguments of the form `-' and `--'). Long options similar to those supported by GNU software may be used as well via an optional third argument. This module provides two functions and an exception: getopt() -- Parse command line options gnu_getopt() -- Like getopt(), but allow option and non-option arguments to be intermixed. GetoptError -- exception (class) raised with 'opt' attribute, which is the option involved with the exception. """ # Long option support added by Lars Wirzenius <liw@iki.fi>. # # Gerrit Holl <gerrit@nl.linux.org> moved the string-based exceptions # to class-based exceptions. # # Peter Åstrand <astrand@lysator.liu.se> added gnu_getopt(). # # TODO for gnu_getopt(): # # - GNU getopt_long_only mechanism # - allow the caller to specify ordering # - RETURN_IN_ORDER option # - GNU extension with '-' as first character of option string # - optional arguments, specified by double colons # - an option string with a W followed by semicolon should # treat "-W foo" as "--foo" __all__ = ["GetoptError","error","getopt","gnu_getopt"] import os try: from gettext import gettext as _ except ImportError: # Bootstrapping Python: gettext's dependencies not built yet def _(s): return s class GetoptError(Exception): opt = '' msg = '' def __init__(self, msg, opt=''): self.msg = msg self.opt = opt Exception.__init__(self, msg, opt) def __str__(self): return self.msg error = GetoptError # backward compatibility def getopt(args, shortopts, longopts = []): """getopt(args, options[, long_options]) -> opts, args Parses command line options and parameter list. args is the argument list to be parsed, without the leading reference to the running program. Typically, this means "sys.argv[1:]". shortopts is the string of option letters that the script wants to recognize, with options that require an argument followed by a colon (i.e., the same format that Unix getopt() uses). If specified, longopts is a list of strings with the names of the long options which should be supported. The leading '--' characters should not be included in the option name. Options which require an argument should be followed by an equal sign ('='). The return value consists of two elements: the first is a list of (option, value) pairs; the second is the list of program arguments left after the option list was stripped (this is a trailing slice of the first argument). Each option-and-value pair returned has the option as its first element, prefixed with a hyphen (e.g., '-x'), and the option argument as its second element, or an empty string if the option has no argument. The options occur in the list in the same order in which they were found, thus allowing multiple occurrences. Long and short options may be mixed. """ opts = [] if type(longopts) == type(""): longopts = [longopts] else: longopts = list(longopts) while args and args[0].startswith('-') and args[0] != '-': if args[0] == '--': args = args[1:] break if args[0].startswith('--'): opts, args = do_longs(opts, args[0][2:], longopts, args[1:]) else: opts, args = do_shorts(opts, args[0][1:], shortopts, args[1:]) return opts, args def gnu_getopt(args, shortopts, longopts = []): """getopt(args, options[, long_options]) -> opts, args This function works like getopt(), except that GNU style scanning mode is used by default. This means that option and non-option arguments may be intermixed. The getopt() function stops processing options as soon as a non-option argument is encountered. If the first character of the option string is `+', or if the environment variable POSIXLY_CORRECT is set, then option processing stops as soon as a non-option argument is encountered. """ opts = [] prog_args = [] if isinstance(longopts, str): longopts = [longopts] else: longopts = list(longopts) # Allow options after non-option arguments? if shortopts.startswith('+'): shortopts = shortopts[1:] all_options_first = True elif os.environ.get("POSIXLY_CORRECT"): all_options_first = True else: all_options_first = False while args: if args[0] == '--': prog_args += args[1:] break if args[0][:2] == '--': opts, args = do_longs(opts, args[0][2:], longopts, args[1:]) elif args[0][:1] == '-' and args[0] != '-': opts, args = do_shorts(opts, args[0][1:], shortopts, args[1:]) else: if all_options_first: prog_args += args break else: prog_args.append(args[0]) args = args[1:] return opts, prog_args def do_longs(opts, opt, longopts, args): try: i = opt.index('=') except ValueError: optarg = None else: opt, optarg = opt[:i], opt[i+1:] has_arg, opt = long_has_args(opt, longopts) if has_arg: if optarg is None: if not args: raise GetoptError(_('option --%s requires argument') % opt, opt) optarg, args = args[0], args[1:] elif optarg is not None: raise GetoptError(_('option --%s must not have an argument') % opt, opt) opts.append(('--' + opt, optarg or '')) return opts, args # Return: # has_arg? # full option name def long_has_args(opt, longopts): possibilities = [o for o in longopts if o.startswith(opt)] if not possibilities: raise GetoptError(_('option --%s not recognized') % opt, opt) # Is there an exact match? if opt in possibilities: return False, opt elif opt + '=' in possibilities: return True, opt # No exact match, so better be unique. if len(possibilities) > 1: # XXX since possibilities contains all valid continuations, might be # nice to work them into the error msg raise GetoptError(_('option --%s not a unique prefix') % opt, opt) assert len(possibilities) == 1 unique_match = possibilities[0] has_arg = unique_match.endswith('=') if has_arg: unique_match = unique_match[:-1] return has_arg, unique_match def do_shorts(opts, optstring, shortopts, args): while optstring != '': opt, optstring = optstring[0], optstring[1:] if short_has_arg(opt, shortopts): if optstring == '': if not args: raise GetoptError(_('option -%s requires argument') % opt, opt) optstring, args = args[0], args[1:] optarg, optstring = optstring, '' else: optarg = '' opts.append(('-' + opt, optarg)) return opts, args def short_has_arg(opt, shortopts): for i in range(len(shortopts)): if opt == shortopts[i] != ':': return shortopts.startswith(':', i+1) raise GetoptError(_('option -%s not recognized') % opt, opt) if __name__ == '__main__': import sys print(getopt(sys.argv[1:], "a:b", ["alpha=", "beta"]))

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.

Case Studies

CBS News

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.

Learn More

New York Times Television

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.

Learn More

The BBC

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.

Learn More

Spectrum News

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.

Learn More

The United Nations

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.

Learn More

The Newark Star-Ledger

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.

Learn More

Mcgraw Hill

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.

Learn More

Voice of America

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.

Learn More

Oyster Yachts

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.

Learn More

Scottish Environmental Protection Agency

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.

Learn More

Michael on Media

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.

Continue reading this post or look back at previous posts.

Do You Have Questions About Learning Video Skills?

If you would like to know more about our courses contact us and one of our training advisors will be happy to call you.

Your IP : 216.73.216.103

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.

Case Studies

CBS News

New York Times Television

The BBC

Spectrum News

The United Nations

The Newark Star-Ledger

Mcgraw Hill

Voice of America

Oyster Yachts

Scottish Environmental Protection Agency

Michael on Media