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#ifndef Py_MODSUPPORT_H
#define Py_MODSUPPORT_H
#ifdef __cplusplus
extern "C" {
#endif

/* Module support interface */

#include <stdarg.h>

/* If PY_SSIZE_T_CLEAN is defined, each functions treats #-specifier
   to mean Py_ssize_t */
#ifdef PY_SSIZE_T_CLEAN
#define PyArg_Parse			_PyArg_Parse_SizeT
#define PyArg_ParseTuple		_PyArg_ParseTuple_SizeT
#define PyArg_ParseTupleAndKeywords	_PyArg_ParseTupleAndKeywords_SizeT
#define PyArg_VaParse			_PyArg_VaParse_SizeT
#define PyArg_VaParseTupleAndKeywords	_PyArg_VaParseTupleAndKeywords_SizeT
#define Py_BuildValue			_Py_BuildValue_SizeT
#define Py_VaBuildValue			_Py_VaBuildValue_SizeT
#else
PyAPI_FUNC(PyObject *) _Py_VaBuildValue_SizeT(const char *, va_list);
#endif

PyAPI_FUNC(int) PyArg_Parse(PyObject *, const char *, ...);
PyAPI_FUNC(int) PyArg_ParseTuple(PyObject *, const char *, ...) Py_FORMAT_PARSETUPLE(PyArg_ParseTuple, 2, 3);
PyAPI_FUNC(int) PyArg_ParseTupleAndKeywords(PyObject *, PyObject *,
                                                  const char *, char **, ...);
PyAPI_FUNC(int) PyArg_UnpackTuple(PyObject *, const char *, Py_ssize_t, Py_ssize_t, ...);
PyAPI_FUNC(PyObject *) Py_BuildValue(const char *, ...);
PyAPI_FUNC(PyObject *) _Py_BuildValue_SizeT(const char *, ...);
PyAPI_FUNC(int) _PyArg_NoKeywords(const char *funcname, PyObject *kw);

PyAPI_FUNC(int) PyArg_VaParse(PyObject *, const char *, va_list);
PyAPI_FUNC(int) PyArg_VaParseTupleAndKeywords(PyObject *, PyObject *,
                                                  const char *, char **, va_list);
PyAPI_FUNC(PyObject *) Py_VaBuildValue(const char *, va_list);

PyAPI_FUNC(int) PyModule_AddObject(PyObject *, const char *, PyObject *);
PyAPI_FUNC(int) PyModule_AddIntConstant(PyObject *, const char *, long);
PyAPI_FUNC(int) PyModule_AddStringConstant(PyObject *, const char *, const char *);
#define PyModule_AddIntMacro(m, c) PyModule_AddIntConstant(m, #c, c)
#define PyModule_AddStringMacro(m, c) PyModule_AddStringConstant(m, #c, c)

#define PYTHON_API_VERSION 1013
#define PYTHON_API_STRING "1013"
/* The API version is maintained (independently from the Python version)
   so we can detect mismatches between the interpreter and dynamically
   loaded modules.  These are diagnosed by an error message but
   the module is still loaded (because the mismatch can only be tested
   after loading the module).  The error message is intended to
   explain the core dump a few seconds later.

   The symbol PYTHON_API_STRING defines the same value as a string
   literal.  *** PLEASE MAKE SURE THE DEFINITIONS MATCH. ***

   Please add a line or two to the top of this log for each API
   version change:

   22-Feb-2006  MvL	1013	PEP 353 - long indices for sequence lengths

   19-Aug-2002  GvR	1012	Changes to string object struct for
   				interning changes, saving 3 bytes.

   17-Jul-2001	GvR	1011	Descr-branch, just to be on the safe side

   25-Jan-2001  FLD     1010    Parameters added to PyCode_New() and
                                PyFrame_New(); Python 2.1a2

   14-Mar-2000  GvR     1009    Unicode API added

   3-Jan-1999	GvR	1007	Decided to change back!  (Don't reuse 1008!)

   3-Dec-1998	GvR	1008	Python 1.5.2b1

   18-Jan-1997	GvR	1007	string interning and other speedups

   11-Oct-1996	GvR	renamed Py_Ellipses to Py_Ellipsis :-(

   30-Jul-1996	GvR	Slice and ellipses syntax added

   23-Jul-1996	GvR	For 1.4 -- better safe than sorry this time :-)

   7-Nov-1995	GvR	Keyword arguments (should've been done at 1.3 :-( )

   10-Jan-1995	GvR	Renamed globals to new naming scheme

   9-Jan-1995	GvR	Initial version (incompatible with older API)
*/

#ifdef MS_WINDOWS
/* Special defines for Windows versions used to live here.  Things
   have changed, and the "Version" is now in a global string variable.
   Reason for this is that this for easier branding of a "custom DLL"
   without actually needing a recompile.  */
#endif /* MS_WINDOWS */

#if SIZEOF_SIZE_T != SIZEOF_INT
/* On a 64-bit system, rename the Py_InitModule4 so that 2.4
   modules cannot get loaded into a 2.5 interpreter */
#define Py_InitModule4 Py_InitModule4_64
#endif

#ifdef Py_TRACE_REFS
 /* When we are tracing reference counts, rename Py_InitModule4 so
    modules compiled with incompatible settings will generate a
    link-time error. */
 #if SIZEOF_SIZE_T != SIZEOF_INT
 #undef Py_InitModule4
 #define Py_InitModule4 Py_InitModule4TraceRefs_64
 #else
 #define Py_InitModule4 Py_InitModule4TraceRefs
 #endif
#endif

PyAPI_FUNC(PyObject *) Py_InitModule4(const char *name, PyMethodDef *methods,
                                      const char *doc, PyObject *self,
                                      int apiver);

#define Py_InitModule(name, methods) \
	Py_InitModule4(name, methods, (char *)NULL, (PyObject *)NULL, \
		       PYTHON_API_VERSION)

#define Py_InitModule3(name, methods, doc) \
	Py_InitModule4(name, methods, doc, (PyObject *)NULL, \
		       PYTHON_API_VERSION)

PyAPI_DATA(char *) _Py_PackageContext;

#ifdef __cplusplus
}
#endif
#endif /* !Py_MODSUPPORT_H */

Rosenblum TV: Video training, virtual workshops, classes, tutorials
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  • The Power of Storytelling
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  • About
  • What We Do
  • Our Clients
  • Case Studies
    • The BBC
    • CBS News
    • New York Times Television
    • Spectrum News
    • The Newark Star-Ledger
    • The United Nations
    • McGraw/Hill
    • Oyster Yachts
    • Scottish Environmental Protection Agency
  • The Power of Storytelling
  • Why iPhones?
  • Michael on Media
  • Books
  • Contact

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 Case Study Logos
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
NYT Case Study Logos
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
BBC Case Study Logos
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 Case Study Logos
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
UN Case Study Logos
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
Star Ledger Case Study Logos
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 Case Study Logos
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
VOA Case Study Logos
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 Case Study Logos
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
SEPA Case Study Logos
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
Image 11-11-22 at 6.25 PM

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.

Read More

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