* Fetch a set of offsets or lengths. * While this routine says "strips", in fact it's also used for tiles. */

* Read the specified strip and setup for decoding. The data buffer is * expanded, as necessary, to hold the strip's data. */

* Compute how many strips are in an image. */

* Read and decompress a tile of data. The * tile is selected by the (x,y,z,s) coordinates. */

* Set state to appear as if a * strip has just been read in. */

---- ToRationalEuclideanGCD() ----------------------------------------- * Calculates the rational fractional of a double input value * using the Eucli

* Construct any mapping table used * by the associated put routine. */

* @brief Get the number of dimensions of the type. * @return The number of dimensions of the type. */

----------------------------------------------------------------------*/ ! display the contents of the nifti_1_header (send to stdout) \param info

----------------------------------------------------------------------*/ ! display the contents of the nifti_1_header (send to stdout) \param info

----------------------------------------------------------------------*/ ! display the contents of the nifti_2_header (send to stdout) \param info

Generates a slice for a given rank in a distributed setting, dividing the dataset evenly across multiple replicas. Parameters: d

* Determine whether the datatype is floating point * @return \c true if the data represents 32-bit or 64-bit floating point values; \c false

* Check if the platform is little endian. * (not foolproof, but will work on most platforms) * * @return true if little endian */

return 1 if there are uppercase but no lowercase */

return 1 if there are uppercase but no lowercase */

--------------------------------------------------------------------------*/ ! check whether the given type is on the "approved" list The code is

* Obtain a pointer to a NIfTI-style \c mat44 or \c dmat44 encapsulating the same data as this * object. */

----------------------------------------------------------------------*/ ! convert a nifti_2_header into a nifti_image \return an allocated nifti_

----------------------------------------------------------------------*/ ! compute the max row norm of a 3x3 matrix */ -------------------------------

---------------------------------------------------------------------- * nifti_image_load_prep - prepare to read data * * Check nifti_image fields

---------------------------------------------------------------------- * nifti_image_load_prep - prepare to read data * * Check nifti_image fields

__clang__

----------------------------------------------------------------------*/ ! This writes the header (and optionally the image data) to file * * If the