def __init__(self,
cookie,
pathname=None,
seed=None,
version=None,
compatible=None):
if cookie != bayesdb_open_cookie:
raise ValueError('Do not construct BayesDB objects directly!')
if pathname is None:
pathname = ":memory:"
self._sqlite3 = apsw.Connection(pathname)
self.txn_depth = 0
self.metamodels = {}
self.tracer = None
self.sql_tracer = None
self.cache = None
self.temptable = 0
self.qid = 0
if seed is None:
seed = struct.pack('<QQQQ', 0, 0, 0, 0)
self._prng = weakprng.weakprng(seed)
pyrseed = self._prng.weakrandom32()
self._py_prng = random.Random(pyrseed)
nprseed = [self._prng.weakrandom32() for _ in range(4)]
self._np_prng = numpy.random.RandomState(nprseed)
schema.bayesdb_install_schema(self._sqlite3,
version=version,
compatible=compatible)
bqlfn.bayesdb_install_bql(self._sqlite3, self)
# Cache an empty cursor for convenience.
empty_cursor = self._sqlite3.cursor()
empty_cursor.execute('')
self._empty_cursor = bql.BayesDBCursor(self, empty_cursor)
def __init__(self, cookie, pathname=None, seed=None, version=None,
compatible=None):
if cookie != bayesdb_open_cookie:
raise ValueError('Do not construct BayesDB objects directly!')
if pathname is None:
pathname = ":memory:"
self._sqlite3 = apsw.Connection(pathname)
self.txn_depth = 0
self.metamodels = {}
self.tracer = None
self.sql_tracer = None
self.cache = None
self.temptable = 0
self.qid = 0
if seed is None:
seed = struct.pack('<QQQQ', 0, 0, 0, 0)
self._prng = weakprng.weakprng(seed)
pyrseed = self._prng.weakrandom32()
self._py_prng = random.Random(pyrseed)
nprseed = [self._prng.weakrandom32() for _ in range(4)]
self._np_prng = numpy.random.RandomState(nprseed)
schema.bayesdb_install_schema(self._sqlite3, version=version,
compatible=compatible)
bqlfn.bayesdb_install_bql(self._sqlite3, self)
# Cache an empty cursor for convenience.
empty_cursor = self._sqlite3.cursor()
empty_cursor.execute('')
self._empty_cursor = bql.BayesDBCursor(self, empty_cursor)
def __init__(self, cookie, pathname=None, seed=None, version=None,
compatible=None):
if cookie != bayesdb_open_cookie:
raise ValueError('Do not construct BayesDB objects directly!')
if pathname is None:
pathname = ":memory:"
# isolation_level=None actually means that the sqlite3 module
# will not randomly begin and commit transactions where we
# didn't ask it to.
self.sqlite3 = sqlite3.connect(pathname, isolation_level=None)
self.txn_depth = 0
self.metamodels = {}
self.tracer = None
self.sql_tracer = None
self.cache = None
self.temptable = 0
self.qid = 0
if seed is None:
seed = struct.pack('<QQQQ', 0, 0, 0, 0)
self._prng = weakprng.weakprng(seed)
pyrseed = self._prng.weakrandom32()
self._py_prng = random.Random(pyrseed)
nprseed = [self._prng.weakrandom32() for _ in range(4)]
self._np_prng = numpy.random.RandomState(nprseed)
schema.bayesdb_install_schema(self.sqlite3, version=version,
compatible=compatible)
bqlfn.bayesdb_install_bql(self.sqlite3, self)
# Cache an empty cursor for convenience.
self.empty_cursor = bql.BayesDBCursor(self, self.sqlite3.execute(''))
def __init__(self,
cookie,
pathname=None,
seed=None,
version=None,
compatible=None):
if cookie != bayesdb_open_cookie:
raise ValueError('Do not construct BayesDB objects directly!')
if pathname is None:
pathname = ":memory:"
self.pathname = pathname
self._sqlite3 = apsw.Connection(pathname)
self._txn_depth = 0 # managed in txn.py
self._cache = None # managed in txn.py
self.metamodels = {}
self.tracer = None
self.sql_tracer = None
self.temptable = 0
self.qid = 0
if seed is None:
seed = struct.pack('<QQQQ', 0, 0, 0, 0)
self._prng = weakprng.weakprng(seed)
pyrseed = self._prng.weakrandom32()
self._py_prng = random.Random(pyrseed)
nprseed = [self._prng.weakrandom32() for _ in range(4)]
self._np_prng = numpy.random.RandomState(nprseed)
# Set up or check the permanent schema on disk.
schema.bayesdb_install_schema(self,
version=version,
compatible=compatible)
# Set up the in-memory BQL functions and virtual tables that
# need not have storage on disk.
bqlfn.bayesdb_install_bql(self._sqlite3, self)
self._sqlite3.createmodule('bql_mutinf', bqlvtab.MutinfModule(self))
self._sqlite3.cursor().execute(
'create virtual table temp.bql_mutinf using bql_mutinf')
# Cache an empty cursor for convenience.
empty_cursor = self._sqlite3.cursor()
empty_cursor.execute('')
self._empty_cursor = bql.BayesDBCursor(self, empty_cursor)
def __init__(self, cookie, pathname=None, seed=None, version=None,
compatible=None):
if cookie != bayesdb_open_cookie:
raise ValueError('Do not construct BayesDB objects directly!')
if pathname is None:
pathname = ":memory:"
self.pathname = pathname
self._sqlite3 = apsw.Connection(pathname)
self._txn_depth = 0 # managed in txn.py
self._cache = None # managed in txn.py
self.backends = {}
self.tracer = None
self.sql_tracer = None
self.temptable = 0
self.qid = 0
if seed is None:
seed = struct.pack('<QQQQ', 0, 0, 0, 0)
self._prng = weakprng.weakprng(seed)
pyrseed = self._prng.weakrandom32()
self._py_prng = random.Random(pyrseed)
nprseed = [self._prng.weakrandom32() for _ in range(4)]
self._np_prng = numpy.random.RandomState(nprseed)
# Set up or check the permanent schema on disk.
schema.bayesdb_install_schema(self, version=version,
compatible=compatible)
# Set up the in-memory BQL functions and virtual tables that
# need not have storage on disk.
bqlfn.bayesdb_install_bql(self._sqlite3, self)
self._sqlite3.createmodule('bql_mutinf', bqlvtab.MutinfModule(self))
self._sqlite3.cursor().execute(
'create virtual table temp.bql_mutinf using bql_mutinf')
# Set up math utilities.
bqlmath.bayesdb_install_bqlmath(self._sqlite3, self)
# Cache an empty cursor for convenience.
empty_cursor = self._sqlite3.cursor()
empty_cursor.execute('')
self._empty_cursor = bql.BayesDBCursor(self, empty_cursor)
