Remove unused arguments, fixes #343.

dataset/__init__.py

@@ -17,9 +17,7 @@ __version__ = "1.3.2"
 def connect(
     url=None,
     schema=None,
-    reflect_metadata=True,
     engine_kwargs=None,
-    reflect_views=True,
     ensure_schema=True,
     row_type=row_type,
     sqlite_wal_mode=True,
@@ -28,14 +26,11 @@ def connect(
 
     *url* can be any valid `SQLAlchemy engine URL`_.  If *url* is not defined
     it will try to use *DATABASE_URL* from environment variable.  Returns an
-    instance of :py:class:`Database <dataset.Database>`. Set *reflect_metadata*
-    to False if you don't want the entire database schema to be pre-loaded.
-    This significantly speeds up connecting to large databases with lots of
-    tables. *reflect_views* can be set to False if you don't want views to be
-    loaded. Additionally, *engine_kwargs* will be directly passed to
-    SQLAlchemy, e.g.  set *engine_kwargs={'pool_recycle': 3600}* will avoid `DB
-    connection timeout`_. Set *row_type* to an alternate dict-like class to
-    change the type of container rows are stored in.::
+    instance of :py:class:`Database <dataset.Database>`. Additionally,
+    *engine_kwargs* will be directly passed to SQLAlchemy, e.g. set
+    *engine_kwargs={'pool_recycle': 3600}* will avoid `DB connection timeout`_.
+    Set *row_type* to an alternate dict-like class to change the type of
+    container rows are stored in.::
 
         db = dataset.connect('sqlite:///factbook.db')
 
@@ -53,9 +48,7 @@ def connect(
     return Database(
         url,
         schema=schema,
-        reflect_metadata=reflect_metadata,
         engine_kwargs=engine_kwargs,
-        reflect_views=reflect_views,
         ensure_schema=ensure_schema,
         row_type=row_type,
         sqlite_wal_mode=sqlite_wal_mode,

dataset/database.py

@@ -27,9 +27,7 @@ class Database(object):
         self,
         url,
         schema=None,
-        reflect_metadata=True,
         engine_kwargs=None,
-        reflect_views=True,
         ensure_schema=True,
         row_type=row_type,
         sqlite_wal_mode=True,