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#ifndef Py_PYMATH_H
#define Py_PYMATH_H

#include "pyconfig.h" /* include for defines */

/**************************************************************************
Symbols and macros to supply platform-independent interfaces to mathematical
functions and constants
**************************************************************************/

/* Python provides implementations for copysign, round and hypot in
 * Python/pymath.c just in case your math library doesn't provide the
 * functions.
 *
 *Note: PC/pyconfig.h defines copysign as _copysign
 */
#ifndef HAVE_COPYSIGN
extern double copysign(double, double);
#endif

#ifndef HAVE_ROUND
extern double round(double);
#endif

#ifndef HAVE_HYPOT
extern double hypot(double, double);
#endif

/* extra declarations */
#ifndef _MSC_VER
#ifndef __STDC__
extern double fmod (double, double);
extern double frexp (double, int *);
extern double ldexp (double, int);
extern double modf (double, double *);
extern double pow(double, double);
#endif /* __STDC__ */
#endif /* _MSC_VER */

#ifdef _OSF_SOURCE
/* OSF1 5.1 doesn't make these available with XOPEN_SOURCE_EXTENDED defined */
extern int finite(double);
extern double copysign(double, double);
#endif

/* High precision defintion of pi and e (Euler)
 * The values are taken from libc6's math.h.
 */
#ifndef Py_MATH_PIl
#define Py_MATH_PIl 3.1415926535897932384626433832795029L
#endif
#ifndef Py_MATH_PI
#define Py_MATH_PI 3.14159265358979323846
#endif

#ifndef Py_MATH_El
#define Py_MATH_El 2.7182818284590452353602874713526625L
#endif

#ifndef Py_MATH_E
#define Py_MATH_E 2.7182818284590452354
#endif

/* On x86, Py_FORCE_DOUBLE forces a floating-point number out of an x87 FPU
   register and into a 64-bit memory location, rounding from extended
   precision to double precision in the process.  On other platforms it does
   nothing. */

/* we take double rounding as evidence of x87 usage */
#ifndef Py_FORCE_DOUBLE
#  ifdef X87_DOUBLE_ROUNDING
PyAPI_FUNC(double) _Py_force_double(double);
#    define Py_FORCE_DOUBLE(X) (_Py_force_double(X))
#  else
#    define Py_FORCE_DOUBLE(X) (X)
#  endif
#endif

#ifdef HAVE_GCC_ASM_FOR_X87
PyAPI_FUNC(unsigned short) _Py_get_387controlword(void);
PyAPI_FUNC(void) _Py_set_387controlword(unsigned short);
#endif

/* Py_IS_NAN(X)
 * Return 1 if float or double arg is a NaN, else 0.
 * Caution:
 *     X is evaluated more than once.
 *     This may not work on all platforms.  Each platform has *some*
 *     way to spell this, though -- override in pyconfig.h if you have
 *     a platform where it doesn't work.
 * Note: PC/pyconfig.h defines Py_IS_NAN as _isnan
 */
#ifndef Py_IS_NAN
#if defined HAVE_DECL_ISNAN && HAVE_DECL_ISNAN == 1
#define Py_IS_NAN(X) isnan(X)
#else
#define Py_IS_NAN(X) ((X) != (X))
#endif
#endif

/* Py_IS_INFINITY(X)
 * Return 1 if float or double arg is an infinity, else 0.
 * Caution:
 *    X is evaluated more than once.
 *    This implementation may set the underflow flag if |X| is very small;
 *    it really can't be implemented correctly (& easily) before C99.
 *    Override in pyconfig.h if you have a better spelling on your platform.
 *  Py_FORCE_DOUBLE is used to avoid getting false negatives from a
 *    non-infinite value v sitting in an 80-bit x87 register such that
 *    v becomes infinite when spilled from the register to 64-bit memory.
 * Note: PC/pyconfig.h defines Py_IS_INFINITY as _isinf
 */
#ifndef Py_IS_INFINITY
#  if defined HAVE_DECL_ISINF && HAVE_DECL_ISINF == 1
#    define Py_IS_INFINITY(X) isinf(X)
#  else
#    define Py_IS_INFINITY(X) ((X) &&                                   \
                               (Py_FORCE_DOUBLE(X)*0.5 == Py_FORCE_DOUBLE(X)))
#  endif
#endif

/* Py_IS_FINITE(X)
 * Return 1 if float or double arg is neither infinite nor NAN, else 0.
 * Some compilers (e.g. VisualStudio) have intrisics for this, so a special
 * macro for this particular test is useful
 * Note: PC/pyconfig.h defines Py_IS_FINITE as _finite
 */
#ifndef Py_IS_FINITE
#if defined HAVE_DECL_ISFINITE && HAVE_DECL_ISFINITE == 1
#define Py_IS_FINITE(X) isfinite(X)
#elif defined HAVE_FINITE
#define Py_IS_FINITE(X) finite(X)
#else
#define Py_IS_FINITE(X) (!Py_IS_INFINITY(X) && !Py_IS_NAN(X))
#endif
#endif

/* HUGE_VAL is supposed to expand to a positive double infinity.  Python
 * uses Py_HUGE_VAL instead because some platforms are broken in this
 * respect.  We used to embed code in pyport.h to try to worm around that,
 * but different platforms are broken in conflicting ways.  If you're on
 * a platform where HUGE_VAL is defined incorrectly, fiddle your Python
 * config to #define Py_HUGE_VAL to something that works on your platform.
 */
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
#endif

/* Py_NAN
 * A value that evaluates to a NaN. On IEEE 754 platforms INF*0 or
 * INF/INF works. Define Py_NO_NAN in pyconfig.h if your platform
 * doesn't support NaNs.
 */
#if !defined(Py_NAN) && !defined(Py_NO_NAN)
#define Py_NAN (Py_HUGE_VAL * 0.)
#endif

/* Py_OVERFLOWED(X)
 * Return 1 iff a libm function overflowed.  Set errno to 0 before calling
 * a libm function, and invoke this macro after, passing the function
 * result.
 * Caution:
 *    This isn't reliable.  C99 no longer requires libm to set errno under
 *	  any exceptional condition, but does require +- HUGE_VAL return
 *	  values on overflow.  A 754 box *probably* maps HUGE_VAL to a
 *	  double infinity, and we're cool if that's so, unless the input
 *	  was an infinity and an infinity is the expected result.  A C89
 *	  system sets errno to ERANGE, so we check for that too.  We're
 *	  out of luck if a C99 754 box doesn't map HUGE_VAL to +Inf, or
 *	  if the returned result is a NaN, or if a C89 box returns HUGE_VAL
 *	  in non-overflow cases.
 *    X is evaluated more than once.
 * Some platforms have better way to spell this, so expect some #ifdef'ery.
 *
 * OpenBSD uses 'isinf()' because a compiler bug on that platform causes
 * the longer macro version to be mis-compiled. This isn't optimal, and
 * should be removed once a newer compiler is available on that platform.
 * The system that had the failure was running OpenBSD 3.2 on Intel, with
 * gcc 2.95.3.
 *
 * According to Tim's checkin, the FreeBSD systems use isinf() to work
 * around a FPE bug on that platform.
 */
#if defined(__FreeBSD__) || defined(__OpenBSD__)
#define Py_OVERFLOWED(X) isinf(X)
#else
#define Py_OVERFLOWED(X) ((X) != 0.0 && (errno == ERANGE ||    \
					 (X) == Py_HUGE_VAL || \
					 (X) == -Py_HUGE_VAL))
#endif

#endif /* Py_PYMATH_H */

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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.

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-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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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