Remove traildb

setup.py

@@ -1,29 +1,13 @@
 import versioneer
-from distutils.core import setup, Extension
+from distutils.core import setup
 from setuptools import find_packages
 
-try:
-    import traildb
-    import numpy as np
-    from Cython.Build import cythonize
-    ext = Extension("sparsity._traildb",
-                            ['sparsity/_traildb.pyx',
-                             'sparsity/src/traildb_coo.c',
-                             'sparsity/src/hashtable.c',
-                             'sparsity/src/linklist.c'],
-                    include_dirs=['/usr/local/include/', np.get_include()],
-                    libraries=["traildb"])
-    ext_modules = cythonize([ext])
-except (ImportError, OSError):
-    ext_modules = None
-
 packages = find_packages()
 packages.remove('sparsity.test')
 
 setup(
     name='sparsity',
     version=versioneer.get_version(),
-    ext_modules = ext_modules,
     author='Alan Hoeng',
     author_email='[email protected]',
     packages=packages,

sparsity/io.py

@@ -5,12 +5,6 @@
 import pandas as pd
 from scipy import sparse
 
-try:
-    from traildb import TrailDB
-    from sparsity._traildb import traildb_coo_repr_func
-except (ImportError, OSError):
-    TrailDB = False
-
 _filesystems = {}
 
 try:
@@ -37,23 +31,6 @@ class LocalFileSystem:
     pass
 
 
-def traildb_to_coo(db, fieldname):
-    if not TrailDB:
-        raise ImportError("Could not find traildb")
-    db_handle = TrailDB(db)
-    num_events = db_handle.num_events
-    del db_handle
-    r_idx = np.zeros(num_events, dtype=np.uint64)
-    c_idx = np.zeros(num_events, dtype=np.uint64)
-    uuids = np.zeros((num_events,16), dtype=np.uint8)
-    timestamps = np.zeros(num_events, dtype=np.uint64)
-
-    cols = traildb_coo_repr_func(db.encode(), fieldname.encode(), r_idx,
-                                 c_idx, uuids, timestamps)
-    return uuids, timestamps, cols,\
-        sparse.coo_matrix((np.ones(num_events), (r_idx, c_idx)))
-
-
 def to_npz(sf, filename, block_size=None, storage_options=None):
     data = _csr_to_dict(sf.data)
     data['metadata'] = \

sparsity/sparse_frame.py

@@ -17,11 +17,6 @@
 from sparsity.io import to_npz, read_npz, _just_read_array
 from scipy import sparse
 
-try:
-    from sparsity.io import traildb_to_coo
-    trail_db = True
-except:
-    trail_db = False
 from sparsity.indexing import _CsrILocationIndexer, _CsrLocIndexer
 
 
@@ -507,19 +502,6 @@ def _ixs(self, key, axis=0):
                            index=new_idx,
                            columns=self.columns)
 
-    @classmethod
-    def read_traildb(cls, file, field, ts_unit='s'):
-        if not trail_db:
-            raise ImportError("Traildb could not be imported")
-        uuids, timestamps, cols, coo = traildb_to_coo(file, field)
-        uuids = np.asarray([uuid.UUID(bytes=x.tobytes()) for x in
-                            uuids])
-        index = pd.MultiIndex.from_arrays \
-            ([pd.CategoricalIndex(uuids),
-              pd.to_datetime(timestamps, unit=ts_unit,)],
-             names=('uuid', 'timestamp'))
-        return cls(coo.tocsr(), index=index, columns=cols)
-
     def assign(self, **kwargs):
         sf = self
         for key, value in kwargs.items():