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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def setcompress(self, comp_type, value=0, v2=0):
 """Compresses the dataset using a specified compression method. Args:: comp_type compression type, identified by one of the SDC.COMP_xxx constants value,v2 auxiliary value(s) needed by some compression types SDC.COMP_SKPHUFF Skipping-Huffman; compression value=data size in bytes, v2 is ignored SDC.COMP_DEFLATE Gzip compression; value=deflate level (1 to 9), v2 is ignored SDC.COMP_SZIP Szip compression; value=encoding scheme (SDC.COMP_SZIP_EC or SDC.COMP_SZIP_NN), v2=pixels per block (2 to 32) Returns:: None .. note:: Starting with v0.8, an exception is always raised if pyhdf was installed with the NOCOMPRESS macro set. SDC.COMP_DEFLATE applies the GZIP compression to the dataset, and the value varies from 1 to 9, according to the level of compression desired. SDC.COMP_SZIP compresses the dataset using the SZIP algorithm. See the HDF User's Guide for details about the encoding scheme and the number of pixels per block. SZIP is new with HDF 4.2. 'setcompress' must be called before writing to the dataset. The dataset must be written all at once, unless it is appendable (has an unlimited dimension). Updating the dataset in not allowed. Refer to the HDF user's guide for more details on how to use data compression. C library equivalent: SDsetcompress """


        status = _C._SDsetcompress(self._id, comp_type, value, v2)
        _checkErr('setcompress', status, 'cannot execute')