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18,900 | basho/riak-python-client | riak/mapreduce.py | RiakMapReduce.reduce_slice | def reduce_slice(self, start, end, options=None):
"""
Adds the Javascript built-in ``Riak.reduceSlice`` to the
query as a reduce phase.
:param start: the beginning of the slice
:type start: integer
:param end: the end of the slice
:type end: integer
:para... | python | def reduce_slice(self, start, end, options=None):
"""
Adds the Javascript built-in ``Riak.reduceSlice`` to the
query as a reduce phase.
:param start: the beginning of the slice
:type start: integer
:param end: the end of the slice
:type end: integer
:para... | [
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18,901 | basho/riak-python-client | riak/mapreduce.py | RiakMapReducePhase.to_array | def to_array(self):
"""
Convert the RiakMapReducePhase to a format that can be output
into JSON. Used internally.
:rtype: dict
"""
stepdef = {'keep': self._keep,
'language': self._language,
'arg': self._arg}
if self._languag... | python | def to_array(self):
"""
Convert the RiakMapReducePhase to a format that can be output
into JSON. Used internally.
:rtype: dict
"""
stepdef = {'keep': self._keep,
'language': self._language,
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18,902 | basho/riak-python-client | riak/mapreduce.py | RiakLinkPhase.to_array | def to_array(self):
"""
Convert the RiakLinkPhase to a format that can be output into
JSON. Used internally.
"""
stepdef = {'bucket': self._bucket,
'tag': self._tag,
'keep': self._keep}
return {'link': stepdef} | python | def to_array(self):
"""
Convert the RiakLinkPhase to a format that can be output into
JSON. Used internally.
"""
stepdef = {'bucket': self._bucket,
'tag': self._tag,
'keep': self._keep}
return {'link': stepdef} | [
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18,903 | basho/riak-python-client | riak/resolver.py | last_written_resolver | def last_written_resolver(riak_object):
"""
A conflict-resolution function that resolves by selecting the most
recently-modified sibling by timestamp.
:param riak_object: an object-in-conflict that will be resolved
:type riak_object: :class:`RiakObject <riak.riak_object.RiakObject>`
"""
ria... | python | def last_written_resolver(riak_object):
"""
A conflict-resolution function that resolves by selecting the most
recently-modified sibling by timestamp.
:param riak_object: an object-in-conflict that will be resolved
:type riak_object: :class:`RiakObject <riak.riak_object.RiakObject>`
"""
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:param riak_object: an object-in-conflict that will be resolved
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18,904 | basho/riak-python-client | riak/transports/security.py | verify_cb | def verify_cb(conn, cert, errnum, depth, ok):
"""
The default OpenSSL certificate verification callback.
"""
if not ok:
raise SecurityError("Could not verify CA certificate {0}"
.format(cert.get_subject()))
return ok | python | def verify_cb(conn, cert, errnum, depth, ok):
"""
The default OpenSSL certificate verification callback.
"""
if not ok:
raise SecurityError("Could not verify CA certificate {0}"
.format(cert.get_subject()))
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18,905 | basho/riak-python-client | riak/client/index_page.py | IndexPage.next_page | def next_page(self, timeout=None, stream=None):
"""
Fetches the next page using the same parameters as the
original query.
Note that if streaming was used before, it will be used again
unless overridden.
:param stream: whether to enable streaming. `True` enables,
... | python | def next_page(self, timeout=None, stream=None):
"""
Fetches the next page using the same parameters as the
original query.
Note that if streaming was used before, it will be used again
unless overridden.
:param stream: whether to enable streaming. `True` enables,
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18,906 | basho/riak-python-client | riak/client/operations.py | _validate_timeout | def _validate_timeout(timeout, infinity_ok=False):
"""
Raises an exception if the given timeout is an invalid value.
"""
if timeout is None:
return
if timeout == 'infinity':
if infinity_ok:
return
else:
raise ValueError(
'timeout must ... | python | def _validate_timeout(timeout, infinity_ok=False):
"""
Raises an exception if the given timeout is an invalid value.
"""
if timeout is None:
return
if timeout == 'infinity':
if infinity_ok:
return
else:
raise ValueError(
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18,907 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.stream_buckets | def stream_buckets(self, bucket_type=None, timeout=None):
"""
Streams the list of buckets. This is a generator method that
should be iterated over.
.. warning:: Do not use this in production, as it requires
traversing through all keys stored in a cluster.
The caller ... | python | def stream_buckets(self, bucket_type=None, timeout=None):
"""
Streams the list of buckets. This is a generator method that
should be iterated over.
.. warning:: Do not use this in production, as it requires
traversing through all keys stored in a cluster.
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18,908 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.stream_index | def stream_index(self, bucket, index, startkey, endkey=None,
return_terms=None, max_results=None, continuation=None,
timeout=None, term_regex=None):
"""
Queries a secondary index, streaming matching keys through an
iterator.
The caller should ex... | python | def stream_index(self, bucket, index, startkey, endkey=None,
return_terms=None, max_results=None, continuation=None,
timeout=None, term_regex=None):
"""
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18,909 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.stream_keys | def stream_keys(self, bucket, timeout=None):
"""
Lists all keys in a bucket via a stream. This is a generator
method which should be iterated over.
.. warning:: Do not use this in production, as it requires
traversing through all keys stored in a cluster.
The caller ... | python | def stream_keys(self, bucket, timeout=None):
"""
Lists all keys in a bucket via a stream. This is a generator
method which should be iterated over.
.. warning:: Do not use this in production, as it requires
traversing through all keys stored in a cluster.
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18,910 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.ts_stream_keys | def ts_stream_keys(self, table, timeout=None):
"""
Lists all keys in a time series table via a stream. This is a
generator method which should be iterated over.
The caller should explicitly close the returned iterator,
either using :func:`contextlib.closing` or calling ``close()... | python | def ts_stream_keys(self, table, timeout=None):
"""
Lists all keys in a time series table via a stream. This is a
generator method which should be iterated over.
The caller should explicitly close the returned iterator,
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18,911 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.multiget | def multiget(self, pairs, **params):
"""Fetches many keys in parallel via threads.
:param pairs: list of bucket_type/bucket/key tuple triples
:type pairs: list
:param params: additional request flags, e.g. r, pr
:type params: dict
:rtype: list of :class:`RiakObjects <ria... | python | def multiget(self, pairs, **params):
"""Fetches many keys in parallel via threads.
:param pairs: list of bucket_type/bucket/key tuple triples
:type pairs: list
:param params: additional request flags, e.g. r, pr
:type params: dict
:rtype: list of :class:`RiakObjects <ria... | [
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18,912 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.multiput | def multiput(self, objs, **params):
"""
Stores objects in parallel via threads.
:param objs: the objects to store
:type objs: list of `RiakObject <riak.riak_object.RiakObject>`
:param params: additional request flags, e.g. w, dw, pw
:type params: dict
:rtype: lis... | python | def multiput(self, objs, **params):
"""
Stores objects in parallel via threads.
:param objs: the objects to store
:type objs: list of `RiakObject <riak.riak_object.RiakObject>`
:param params: additional request flags, e.g. w, dw, pw
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18,913 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.fetch_datatype | def fetch_datatype(self, bucket, key, r=None, pr=None,
basic_quorum=None, notfound_ok=None,
timeout=None, include_context=None):
"""
Fetches the value of a Riak Datatype.
.. note:: This request is automatically retried :attr:`retries`
tim... | python | def fetch_datatype(self, bucket, key, r=None, pr=None,
basic_quorum=None, notfound_ok=None,
timeout=None, include_context=None):
"""
Fetches the value of a Riak Datatype.
.. note:: This request is automatically retried :attr:`retries`
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] | 91de13a16607cdf553d1a194e762734e3bec4231 | https://github.com/basho/riak-python-client/blob/91de13a16607cdf553d1a194e762734e3bec4231/riak/client/operations.py#L1106-L1143 |
18,914 | basho/riak-python-client | riak/client/operations.py | RiakClientOperations.update_datatype | def update_datatype(self, datatype, w=None, dw=None, pw=None,
return_body=None, timeout=None,
include_context=None):
"""
Sends an update to a Riak Datatype to the server. This operation is not
idempotent and so will not be retried automatically.
... | python | def update_datatype(self, datatype, w=None, dw=None, pw=None,
return_body=None, timeout=None,
include_context=None):
"""
Sends an update to a Riak Datatype to the server. This operation is not
idempotent and so will not be retried automatically.
... | [
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18,915 | basho/riak-python-client | riak/transports/tcp/connection.py | TcpConnection._non_connect_send_recv | def _non_connect_send_recv(self, msg_code, data=None):
"""
Similar to self._send_recv, but doesn't try to initiate a connection,
thus preventing an infinite loop.
"""
self._non_connect_send_msg(msg_code, data)
return self._recv_msg() | python | def _non_connect_send_recv(self, msg_code, data=None):
"""
Similar to self._send_recv, but doesn't try to initiate a connection,
thus preventing an infinite loop.
"""
self._non_connect_send_msg(msg_code, data)
return self._recv_msg() | [
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18,916 | basho/riak-python-client | riak/transports/tcp/connection.py | TcpConnection._non_connect_send_msg | def _non_connect_send_msg(self, msg_code, data):
"""
Similar to self._send, but doesn't try to initiate a connection,
thus preventing an infinite loop.
"""
try:
self._socket.sendall(self._encode_msg(msg_code, data))
except (IOError, socket.error) as e:
... | python | def _non_connect_send_msg(self, msg_code, data):
"""
Similar to self._send, but doesn't try to initiate a connection,
thus preventing an infinite loop.
"""
try:
self._socket.sendall(self._encode_msg(msg_code, data))
except (IOError, socket.error) as e:
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18,917 | basho/riak-python-client | riak/transports/tcp/connection.py | TcpConnection._init_security | def _init_security(self):
"""
Initialize a secure connection to the server.
"""
if not self._starttls():
raise SecurityError("Could not start TLS connection")
# _ssh_handshake() will throw an exception upon failure
self._ssl_handshake()
if not self._au... | python | def _init_security(self):
"""
Initialize a secure connection to the server.
"""
if not self._starttls():
raise SecurityError("Could not start TLS connection")
# _ssh_handshake() will throw an exception upon failure
self._ssl_handshake()
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18,918 | basho/riak-python-client | riak/transports/tcp/connection.py | TcpConnection._starttls | def _starttls(self):
"""
Exchange a STARTTLS message with Riak to initiate secure communications
return True is Riak responds with a STARTTLS response, False otherwise
"""
resp_code, _ = self._non_connect_send_recv(
riak.pb.messages.MSG_CODE_START_TLS)
if resp... | python | def _starttls(self):
"""
Exchange a STARTTLS message with Riak to initiate secure communications
return True is Riak responds with a STARTTLS response, False otherwise
"""
resp_code, _ = self._non_connect_send_recv(
riak.pb.messages.MSG_CODE_START_TLS)
if resp... | [
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18,919 | basho/riak-python-client | riak/transports/tcp/connection.py | TcpConnection.close | def close(self):
"""
Closes the underlying socket of the PB connection.
"""
if self._socket:
if USE_STDLIB_SSL:
# NB: Python 2.7.8 and earlier does not have a compatible
# shutdown() method due to the SSL lib
try:
... | python | def close(self):
"""
Closes the underlying socket of the PB connection.
"""
if self._socket:
if USE_STDLIB_SSL:
# NB: Python 2.7.8 and earlier does not have a compatible
# shutdown() method due to the SSL lib
try:
... | [
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18,920 | basho/riak-python-client | riak/riak_object.py | content_property | def content_property(name, doc=None):
"""
Delegates a property to the first sibling in a RiakObject, raising
an error when the object is in conflict.
"""
def _setter(self, value):
if len(self.siblings) == 0:
# In this case, assume that what the user wants is to
# crea... | python | def content_property(name, doc=None):
"""
Delegates a property to the first sibling in a RiakObject, raising
an error when the object is in conflict.
"""
def _setter(self, value):
if len(self.siblings) == 0:
# In this case, assume that what the user wants is to
# crea... | [
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18,921 | basho/riak-python-client | riak/riak_object.py | content_method | def content_method(name):
"""
Delegates a method to the first sibling in a RiakObject, raising
an error when the object is in conflict.
"""
def _delegate(self, *args, **kwargs):
if len(self.siblings) != 1:
raise ConflictError()
return getattr(self.siblings[0], name).__cal... | python | def content_method(name):
"""
Delegates a method to the first sibling in a RiakObject, raising
an error when the object is in conflict.
"""
def _delegate(self, *args, **kwargs):
if len(self.siblings) != 1:
raise ConflictError()
return getattr(self.siblings[0], name).__cal... | [
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18,922 | basho/riak-python-client | riak/riak_object.py | RiakObject.store | def store(self, w=None, dw=None, pw=None, return_body=True,
if_none_match=False, timeout=None):
"""
Store the object in Riak. When this operation completes, the
object could contain new metadata and possibly new data if Riak
contains a newer version of the object according ... | python | def store(self, w=None, dw=None, pw=None, return_body=True,
if_none_match=False, timeout=None):
"""
Store the object in Riak. When this operation completes, the
object could contain new metadata and possibly new data if Riak
contains a newer version of the object according ... | [
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:param w: W-value, wait for this many partitions to respond
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18,923 | basho/riak-python-client | riak/riak_object.py | RiakObject.reload | def reload(self, r=None, pr=None, timeout=None, basic_quorum=None,
notfound_ok=None, head_only=False):
"""
Reload the object from Riak. When this operation completes, the
object could contain new metadata and a new value, if the object
was updated in Riak since it was last... | python | def reload(self, r=None, pr=None, timeout=None, basic_quorum=None,
notfound_ok=None, head_only=False):
"""
Reload the object from Riak. When this operation completes, the
object could contain new metadata and a new value, if the object
was updated in Riak since it was last... | [
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.. note:: Even if the key is not found in Riak, this will
return a :class:`RiakObject`. Check the :attr:`e... | [
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18,924 | basho/riak-python-client | riak/riak_object.py | RiakObject.delete | def delete(self, r=None, w=None, dw=None, pr=None, pw=None,
timeout=None):
"""
Delete this object from Riak.
:param r: R-value, wait for this many partitions to read object
before performing the put
:type r: integer
:param w: W-value, wait for this many p... | python | def delete(self, r=None, w=None, dw=None, pr=None, pw=None,
timeout=None):
"""
Delete this object from Riak.
:param r: R-value, wait for this many partitions to read object
before performing the put
:type r: integer
:param w: W-value, wait for this many p... | [
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18,925 | basho/riak-python-client | riak/bucket.py | RiakBucket.get_encoder | def get_encoder(self, content_type):
"""
Get the encoding function for the provided content type for
this bucket.
:param content_type: the requested media type
:type content_type: str
:param content_type: Content type requested
"""
if content_type in self... | python | def get_encoder(self, content_type):
"""
Get the encoding function for the provided content type for
this bucket.
:param content_type: the requested media type
:type content_type: str
:param content_type: Content type requested
"""
if content_type in self... | [
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18,926 | basho/riak-python-client | riak/bucket.py | RiakBucket.get_decoder | def get_decoder(self, content_type):
"""
Get the decoding function for the provided content type for
this bucket.
:param content_type: the requested media type
:type content_type: str
:rtype: function
"""
if content_type in self._decoders:
ret... | python | def get_decoder(self, content_type):
"""
Get the decoding function for the provided content type for
this bucket.
:param content_type: the requested media type
:type content_type: str
:rtype: function
"""
if content_type in self._decoders:
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18,927 | basho/riak-python-client | riak/bucket.py | RiakBucket.multiget | def multiget(self, keys, r=None, pr=None, timeout=None,
basic_quorum=None, notfound_ok=None,
head_only=False):
"""
Retrieves a list of keys belonging to this bucket in parallel.
:param keys: the keys to fetch
:type keys: list
:param r: R-Value f... | python | def multiget(self, keys, r=None, pr=None, timeout=None,
basic_quorum=None, notfound_ok=None,
head_only=False):
"""
Retrieves a list of keys belonging to this bucket in parallel.
:param keys: the keys to fetch
:type keys: list
:param r: R-Value f... | [
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:param r: R-Value for the requests (defaults to bucket's R)
:type r: integer
:param pr: PR-Value for the requests (defaults to bucket's PR)
:type pr: integer
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18,928 | basho/riak-python-client | riak/bucket.py | BucketType.stream_buckets | def stream_buckets(self, timeout=None):
"""
Streams the list of buckets under this bucket-type. This is a
generator method that should be iterated over.
The caller must close the stream when finished. See
:meth:`RiakClient.stream_buckets()
<riak.client.RiakClient.stream... | python | def stream_buckets(self, timeout=None):
"""
Streams the list of buckets under this bucket-type. This is a
generator method that should be iterated over.
The caller must close the stream when finished. See
:meth:`RiakClient.stream_buckets()
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<riak.client.RiakClient.stream_buckets>` for more details.
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18,929 | basho/riak-python-client | riak/node.py | Decaying.incr | def incr(self, d):
"""
Increases the value by the argument.
:param d: the value to increase by
:type d: float
"""
with self.lock:
self.p = self.value() + d | python | def incr(self, d):
"""
Increases the value by the argument.
:param d: the value to increase by
:type d: float
"""
with self.lock:
self.p = self.value() + d | [
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18,930 | basho/riak-python-client | riak/transports/transport.py | Transport.make_random_client_id | def make_random_client_id(self):
"""
Returns a random client identifier
"""
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return ('py_%s' %
base64.b64encode(str(random.randint(1, 0x40000000))))
else:
return ('py_%s' %
base64.b64encode(bytes(str(random.ra... | python | def make_random_client_id(self):
"""
Returns a random client identifier
"""
if PY2:
return ('py_%s' %
base64.b64encode(str(random.randint(1, 0x40000000))))
else:
return ('py_%s' %
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18,931 | basho/riak-python-client | riak/transports/transport.py | Transport.get | def get(self, robj, r=None, pr=None, timeout=None, basic_quorum=None,
notfound_ok=None, head_only=False):
"""
Fetches an object.
"""
raise NotImplementedError | python | def get(self, robj, r=None, pr=None, timeout=None, basic_quorum=None,
notfound_ok=None, head_only=False):
"""
Fetches an object.
"""
raise NotImplementedError | [
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18,932 | basho/riak-python-client | riak/transports/transport.py | Transport.put | def put(self, robj, w=None, dw=None, pw=None, return_body=None,
if_none_match=None, timeout=None):
"""
Stores an object.
"""
raise NotImplementedError | python | def put(self, robj, w=None, dw=None, pw=None, return_body=None,
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"""
Stores an object.
"""
raise NotImplementedError | [
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18,933 | basho/riak-python-client | riak/transports/transport.py | Transport.delete | def delete(self, robj, rw=None, r=None, w=None, dw=None, pr=None,
pw=None, timeout=None):
"""
Deletes an object.
"""
raise NotImplementedError | python | def delete(self, robj, rw=None, r=None, w=None, dw=None, pr=None,
pw=None, timeout=None):
"""
Deletes an object.
"""
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18,934 | basho/riak-python-client | riak/transports/transport.py | Transport.update_counter | def update_counter(self, bucket, key, value, w=None, dw=None, pw=None,
returnvalue=False):
"""
Updates a counter by the given value.
"""
raise NotImplementedError | python | def update_counter(self, bucket, key, value, w=None, dw=None, pw=None,
returnvalue=False):
"""
Updates a counter by the given value.
"""
raise NotImplementedError | [
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18,935 | basho/riak-python-client | riak/transports/transport.py | Transport.fetch_datatype | def fetch_datatype(self, bucket, key, r=None, pr=None, basic_quorum=None,
notfound_ok=None, timeout=None, include_context=None):
"""
Fetches a Riak Datatype.
"""
raise NotImplementedError | python | def fetch_datatype(self, bucket, key, r=None, pr=None, basic_quorum=None,
notfound_ok=None, timeout=None, include_context=None):
"""
Fetches a Riak Datatype.
"""
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18,936 | basho/riak-python-client | riak/transports/transport.py | Transport.update_datatype | def update_datatype(self, datatype, w=None, dw=None, pw=None,
return_body=None, timeout=None, include_context=None):
"""
Updates a Riak Datatype by sending local operations to the server.
"""
raise NotImplementedError | python | def update_datatype(self, datatype, w=None, dw=None, pw=None,
return_body=None, timeout=None, include_context=None):
"""
Updates a Riak Datatype by sending local operations to the server.
"""
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18,937 | basho/riak-python-client | riak/transports/transport.py | Transport._search_mapred_emu | def _search_mapred_emu(self, index, query):
"""
Emulates a search request via MapReduce. Used in the case
where the transport supports MapReduce but has no native
search capability.
"""
phases = []
if not self.phaseless_mapred():
phases.append({'langua... | python | def _search_mapred_emu(self, index, query):
"""
Emulates a search request via MapReduce. Used in the case
where the transport supports MapReduce but has no native
search capability.
"""
phases = []
if not self.phaseless_mapred():
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18,938 | basho/riak-python-client | riak/transports/transport.py | Transport._get_index_mapred_emu | def _get_index_mapred_emu(self, bucket, index, startkey, endkey=None):
"""
Emulates a secondary index request via MapReduce. Used in the
case where the transport supports MapReduce but has no native
secondary index query capability.
"""
phases = []
if not self.pha... | python | def _get_index_mapred_emu(self, bucket, index, startkey, endkey=None):
"""
Emulates a secondary index request via MapReduce. Used in the
case where the transport supports MapReduce but has no native
secondary index query capability.
"""
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18,939 | basho/riak-python-client | riak/codecs/http.py | HttpCodec._parse_body | def _parse_body(self, robj, response, expected_statuses):
"""
Parse the body of an object response and populate the object.
"""
# If no response given, then return.
if response is None:
return None
status, headers, data = response
# Check if the serv... | python | def _parse_body(self, robj, response, expected_statuses):
"""
Parse the body of an object response and populate the object.
"""
# If no response given, then return.
if response is None:
return None
status, headers, data = response
# Check if the serv... | [
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18,940 | basho/riak-python-client | riak/codecs/http.py | HttpCodec._parse_sibling | def _parse_sibling(self, sibling, headers, data):
"""
Parses a single sibling out of a response.
"""
sibling.exists = True
# Parse the headers...
for header, value in headers:
header = header.lower()
if header == 'content-type':
s... | python | def _parse_sibling(self, sibling, headers, data):
"""
Parses a single sibling out of a response.
"""
sibling.exists = True
# Parse the headers...
for header, value in headers:
header = header.lower()
if header == 'content-type':
s... | [
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18,941 | basho/riak-python-client | riak/codecs/http.py | HttpCodec._to_link_header | def _to_link_header(self, link):
"""
Convert the link tuple to a link header string. Used internally.
"""
try:
bucket, key, tag = link
except ValueError:
raise RiakError("Invalid link tuple %s" % link)
tag = tag if tag is not None else bucket
... | python | def _to_link_header(self, link):
"""
Convert the link tuple to a link header string. Used internally.
"""
try:
bucket, key, tag = link
except ValueError:
raise RiakError("Invalid link tuple %s" % link)
tag = tag if tag is not None else bucket
... | [
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18,942 | basho/riak-python-client | riak/codecs/http.py | HttpCodec._normalize_json_search_response | def _normalize_json_search_response(self, json):
"""
Normalizes a JSON search response so that PB and HTTP have the
same return value
"""
result = {}
if 'facet_counts' in json:
result['facet_counts'] = json[u'facet_counts']
if 'grouped' in json:
... | python | def _normalize_json_search_response(self, json):
"""
Normalizes a JSON search response so that PB and HTTP have the
same return value
"""
result = {}
if 'facet_counts' in json:
result['facet_counts'] = json[u'facet_counts']
if 'grouped' in json:
... | [
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18,943 | basho/riak-python-client | riak/codecs/http.py | HttpCodec._normalize_xml_search_response | def _normalize_xml_search_response(self, xml):
"""
Normalizes an XML search response so that PB and HTTP have the
same return value
"""
target = XMLSearchResult()
parser = ElementTree.XMLParser(target=target)
parser.feed(xml)
return parser.close() | python | def _normalize_xml_search_response(self, xml):
"""
Normalizes an XML search response so that PB and HTTP have the
same return value
"""
target = XMLSearchResult()
parser = ElementTree.XMLParser(target=target)
parser.feed(xml)
return parser.close() | [
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18,944 | basho/riak-python-client | riak/transports/http/__init__.py | NoNagleHTTPConnection.connect | def connect(self):
"""
Set TCP_NODELAY on socket
"""
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self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1) | python | def connect(self):
"""
Set TCP_NODELAY on socket
"""
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self.sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1) | [
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18,945 | basho/riak-python-client | riak/client/transport.py | RiakClientTransport._with_retries | def _with_retries(self, pool, fn):
"""
Performs the passed function with retries against the given pool.
:param pool: the connection pool to use
:type pool: Pool
:param fn: the function to pass a transport
:type fn: function
"""
skip_nodes = []
d... | python | def _with_retries(self, pool, fn):
"""
Performs the passed function with retries against the given pool.
:param pool: the connection pool to use
:type pool: Pool
:param fn: the function to pass a transport
:type fn: function
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18,946 | basho/riak-python-client | riak/client/transport.py | RiakClientTransport._choose_pool | def _choose_pool(self, protocol=None):
"""
Selects a connection pool according to the default protocol
and the passed one.
:param protocol: the protocol to use
:type protocol: string
:rtype: Pool
"""
if not protocol:
protocol = self.protocol
... | python | def _choose_pool(self, protocol=None):
"""
Selects a connection pool according to the default protocol
and the passed one.
:param protocol: the protocol to use
:type protocol: string
:rtype: Pool
"""
if not protocol:
protocol = self.protocol
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18,947 | basho/riak-python-client | riak/client/__init__.py | default_encoder | def default_encoder(obj):
"""
Default encoder for JSON datatypes, which returns UTF-8 encoded
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"""
if isinstance(obj, bytes):
return json.dumps(bytes_to_str(obj),
ensure_ascii=False).encode("... | python | def default_encoder(obj):
"""
Default encoder for JSON datatypes, which returns UTF-8 encoded
json instead of the default bloated backslash u XXXX escaped ASCII strings.
"""
if isinstance(obj, bytes):
return json.dumps(bytes_to_str(obj),
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18,948 | basho/riak-python-client | riak/client/__init__.py | RiakClient.close | def close(self):
"""
Iterate through all of the connections and close each one.
"""
if not self._closed:
self._closed = True
self._stop_multi_pools()
if self._http_pool is not None:
self._http_pool.clear()
self._http_poo... | python | def close(self):
"""
Iterate through all of the connections and close each one.
"""
if not self._closed:
self._closed = True
self._stop_multi_pools()
if self._http_pool is not None:
self._http_pool.clear()
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18,949 | basho/riak-python-client | riak/client/__init__.py | RiakClient._create_credentials | def _create_credentials(self, n):
"""
Create security credentials, if necessary.
"""
if not n:
return n
elif isinstance(n, SecurityCreds):
return n
elif isinstance(n, dict):
return SecurityCreds(**n)
else:
raise Type... | python | def _create_credentials(self, n):
"""
Create security credentials, if necessary.
"""
if not n:
return n
elif isinstance(n, SecurityCreds):
return n
elif isinstance(n, dict):
return SecurityCreds(**n)
else:
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18,950 | basho/riak-python-client | riak/transports/http/connection.py | HttpConnection._connect | def _connect(self):
"""
Use the appropriate connection class; optionally with security.
"""
timeout = None
if self._options is not None and 'timeout' in self._options:
timeout = self._options['timeout']
if self._client._credentials:
self._connecti... | python | def _connect(self):
"""
Use the appropriate connection class; optionally with security.
"""
timeout = None
if self._options is not None and 'timeout' in self._options:
timeout = self._options['timeout']
if self._client._credentials:
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18,951 | basho/riak-python-client | riak/transports/http/connection.py | HttpConnection._security_auth_headers | def _security_auth_headers(self, username, password, headers):
"""
Add in the requisite HTTP Authentication Headers
:param username: Riak Security Username
:type str
:param password: Riak Security Password
:type str
:param headers: Dictionary of headers
:... | python | def _security_auth_headers(self, username, password, headers):
"""
Add in the requisite HTTP Authentication Headers
:param username: Riak Security Username
:type str
:param password: Riak Security Password
:type str
:param headers: Dictionary of headers
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18,952 | basho/riak-python-client | riak/table.py | Table.query | def query(self, query, interpolations=None):
"""
Queries a timeseries table.
:param query: The timeseries query.
:type query: string
:rtype: :class:`TsObject <riak.ts_object.TsObject>`
"""
return self._client.ts_query(self, query, interpolations) | python | def query(self, query, interpolations=None):
"""
Queries a timeseries table.
:param query: The timeseries query.
:type query: string
:rtype: :class:`TsObject <riak.ts_object.TsObject>`
"""
return self._client.ts_query(self, query, interpolations) | [
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18,953 | adamrehn/ue4cli | ue4cli/ConfigurationManager.py | ConfigurationManager.getConfigDirectory | def getConfigDirectory():
"""
Determines the platform-specific config directory location for ue4cli
"""
if platform.system() == 'Windows':
return os.path.join(os.environ['APPDATA'], 'ue4cli')
else:
return os.path.join(os.environ['HOME'], '.config', 'ue4cli') | python | def getConfigDirectory():
"""
Determines the platform-specific config directory location for ue4cli
"""
if platform.system() == 'Windows':
return os.path.join(os.environ['APPDATA'], 'ue4cli')
else:
return os.path.join(os.environ['HOME'], '.config', 'ue4cli') | [
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18,954 | adamrehn/ue4cli | ue4cli/ConfigurationManager.py | ConfigurationManager.setConfigKey | def setConfigKey(key, value):
"""
Sets the config data value for the specified dictionary key
"""
configFile = ConfigurationManager._configFile()
return JsonDataManager(configFile).setKey(key, value) | python | def setConfigKey(key, value):
"""
Sets the config data value for the specified dictionary key
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configFile = ConfigurationManager._configFile()
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18,955 | adamrehn/ue4cli | ue4cli/CachedDataManager.py | CachedDataManager.clearCache | def clearCache():
"""
Clears any cached data we have stored about specific engine versions
"""
if os.path.exists(CachedDataManager._cacheDir()) == True:
shutil.rmtree(CachedDataManager._cacheDir()) | python | def clearCache():
"""
Clears any cached data we have stored about specific engine versions
"""
if os.path.exists(CachedDataManager._cacheDir()) == True:
shutil.rmtree(CachedDataManager._cacheDir()) | [
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18,956 | adamrehn/ue4cli | ue4cli/CachedDataManager.py | CachedDataManager.getCachedDataKey | def getCachedDataKey(engineVersionHash, key):
"""
Retrieves the cached data value for the specified engine version hash and dictionary key
"""
cacheFile = CachedDataManager._cacheFileForHash(engineVersionHash)
return JsonDataManager(cacheFile).getKey(key) | python | def getCachedDataKey(engineVersionHash, key):
"""
Retrieves the cached data value for the specified engine version hash and dictionary key
"""
cacheFile = CachedDataManager._cacheFileForHash(engineVersionHash)
return JsonDataManager(cacheFile).getKey(key) | [
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18,957 | adamrehn/ue4cli | ue4cli/CachedDataManager.py | CachedDataManager.setCachedDataKey | def setCachedDataKey(engineVersionHash, key, value):
"""
Sets the cached data value for the specified engine version hash and dictionary key
"""
cacheFile = CachedDataManager._cacheFileForHash(engineVersionHash)
return JsonDataManager(cacheFile).setKey(key, value) | python | def setCachedDataKey(engineVersionHash, key, value):
"""
Sets the cached data value for the specified engine version hash and dictionary key
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cacheFile = CachedDataManager._cacheFileForHash(engineVersionHash)
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18,958 | adamrehn/ue4cli | ue4cli/Utility.py | Utility.writeFile | def writeFile(filename, data):
"""
Writes data to a file
"""
with open(filename, 'wb') as f:
f.write(data.encode('utf-8')) | python | def writeFile(filename, data):
"""
Writes data to a file
"""
with open(filename, 'wb') as f:
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18,959 | adamrehn/ue4cli | ue4cli/Utility.py | Utility.patchFile | def patchFile(filename, replacements):
"""
Applies the supplied list of replacements to a file
"""
patched = Utility.readFile(filename)
# Perform each of the replacements in the supplied dictionary
for key in replacements:
patched = patched.replace(key, replacements[key])
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"""
Applies the supplied list of replacements to a file
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patched = Utility.readFile(filename)
# Perform each of the replacements in the supplied dictionary
for key in replacements:
patched = patched.replace(key, replacements[key])
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18,960 | adamrehn/ue4cli | ue4cli/Utility.py | Utility.escapePathForShell | def escapePathForShell(path):
"""
Escapes a filesystem path for use as a command-line argument
"""
if platform.system() == 'Windows':
return '"{}"'.format(path.replace('"', '""'))
else:
return shellescape.quote(path) | python | def escapePathForShell(path):
"""
Escapes a filesystem path for use as a command-line argument
"""
if platform.system() == 'Windows':
return '"{}"'.format(path.replace('"', '""'))
else:
return shellescape.quote(path) | [
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Joins the supplied list of strings after removing any empty strings from the list
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18,962 | ageitgey/face_recognition | examples/face_recognition_knn.py | train | def train(train_dir, model_save_path=None, n_neighbors=None, knn_algo='ball_tree', verbose=False):
"""
Trains a k-nearest neighbors classifier for face recognition.
:param train_dir: directory that contains a sub-directory for each known person, with its name.
(View in source code to see train_dir ex... | python | def train(train_dir, model_save_path=None, n_neighbors=None, knn_algo='ball_tree', verbose=False):
"""
Trains a k-nearest neighbors classifier for face recognition.
:param train_dir: directory that contains a sub-directory for each known person, with its name.
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18,963 | ageitgey/face_recognition | examples/face_recognition_knn.py | predict | def predict(X_img_path, knn_clf=None, model_path=None, distance_threshold=0.6):
"""
Recognizes faces in given image using a trained KNN classifier
:param X_img_path: path to image to be recognized
:param knn_clf: (optional) a knn classifier object. if not specified, model_save_path must be specified.
... | python | def predict(X_img_path, knn_clf=None, model_path=None, distance_threshold=0.6):
"""
Recognizes faces in given image using a trained KNN classifier
:param X_img_path: path to image to be recognized
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18,964 | ageitgey/face_recognition | examples/face_recognition_knn.py | show_prediction_labels_on_image | def show_prediction_labels_on_image(img_path, predictions):
"""
Shows the face recognition results visually.
:param img_path: path to image to be recognized
:param predictions: results of the predict function
:return:
"""
pil_image = Image.open(img_path).convert("RGB")
draw = ImageDraw.... | python | def show_prediction_labels_on_image(img_path, predictions):
"""
Shows the face recognition results visually.
:param img_path: path to image to be recognized
:param predictions: results of the predict function
:return:
"""
pil_image = Image.open(img_path).convert("RGB")
draw = ImageDraw.... | [
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18,965 | ageitgey/face_recognition | face_recognition/api.py | face_distance | def face_distance(face_encodings, face_to_compare):
"""
Given a list of face encodings, compare them to a known face encoding and get a euclidean distance
for each comparison face. The distance tells you how similar the faces are.
:param faces: List of face encodings to compare
:param face_to_compa... | python | def face_distance(face_encodings, face_to_compare):
"""
Given a list of face encodings, compare them to a known face encoding and get a euclidean distance
for each comparison face. The distance tells you how similar the faces are.
:param faces: List of face encodings to compare
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18,966 | ageitgey/face_recognition | face_recognition/api.py | batch_face_locations | def batch_face_locations(images, number_of_times_to_upsample=1, batch_size=128):
"""
Returns an 2d array of bounding boxes of human faces in a image using the cnn face detector
If you are using a GPU, this can give you much faster results since the GPU
can process batches of images at once. If you aren'... | python | def batch_face_locations(images, number_of_times_to_upsample=1, batch_size=128):
"""
Returns an 2d array of bounding boxes of human faces in a image using the cnn face detector
If you are using a GPU, this can give you much faster results since the GPU
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18,967 | ageitgey/face_recognition | face_recognition/api.py | face_encodings | def face_encodings(face_image, known_face_locations=None, num_jitters=1):
"""
Given an image, return the 128-dimension face encoding for each face in the image.
:param face_image: The image that contains one or more faces
:param known_face_locations: Optional - the bounding boxes of each face if you al... | python | def face_encodings(face_image, known_face_locations=None, num_jitters=1):
"""
Given an image, return the 128-dimension face encoding for each face in the image.
:param face_image: The image that contains one or more faces
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18,968 | apache/spark | python/pyspark/sql/types.py | _int_size_to_type | def _int_size_to_type(size):
"""
Return the Catalyst datatype from the size of integers.
"""
if size <= 8:
return ByteType
if size <= 16:
return ShortType
if size <= 32:
return IntegerType
if size <= 64:
return LongType | python | def _int_size_to_type(size):
"""
Return the Catalyst datatype from the size of integers.
"""
if size <= 8:
return ByteType
if size <= 16:
return ShortType
if size <= 32:
return IntegerType
if size <= 64:
return LongType | [
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18,969 | apache/spark | python/pyspark/sql/types.py | _infer_type | def _infer_type(obj):
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dataType = _type_mappings.get(type(obj))
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"""Infer the DataType from obj
"""
if obj is None:
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if hasattr(obj, '__UDT__'):
return obj.__UDT__
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18,970 | apache/spark | python/pyspark/sql/types.py | _has_nulltype | def _has_nulltype(dt):
""" Return whether there is NullType in `dt` or not """
if isinstance(dt, StructType):
return any(_has_nulltype(f.dataType) for f in dt.fields)
elif isinstance(dt, ArrayType):
return _has_nulltype((dt.elementType))
elif isinstance(dt, MapType):
return _has_... | python | def _has_nulltype(dt):
""" Return whether there is NullType in `dt` or not """
if isinstance(dt, StructType):
return any(_has_nulltype(f.dataType) for f in dt.fields)
elif isinstance(dt, ArrayType):
return _has_nulltype((dt.elementType))
elif isinstance(dt, MapType):
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18,971 | apache/spark | python/pyspark/sql/types.py | _create_converter | def _create_converter(dataType):
"""Create a converter to drop the names of fields in obj """
if not _need_converter(dataType):
return lambda x: x
if isinstance(dataType, ArrayType):
conv = _create_converter(dataType.elementType)
return lambda row: [conv(v) for v in row]
elif i... | python | def _create_converter(dataType):
"""Create a converter to drop the names of fields in obj """
if not _need_converter(dataType):
return lambda x: x
if isinstance(dataType, ArrayType):
conv = _create_converter(dataType.elementType)
return lambda row: [conv(v) for v in row]
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18,972 | apache/spark | python/pyspark/sql/types.py | to_arrow_type | def to_arrow_type(dt):
""" Convert Spark data type to pyarrow type
"""
import pyarrow as pa
if type(dt) == BooleanType:
arrow_type = pa.bool_()
elif type(dt) == ByteType:
arrow_type = pa.int8()
elif type(dt) == ShortType:
arrow_type = pa.int16()
elif type(dt) == Integ... | python | def to_arrow_type(dt):
""" Convert Spark data type to pyarrow type
"""
import pyarrow as pa
if type(dt) == BooleanType:
arrow_type = pa.bool_()
elif type(dt) == ByteType:
arrow_type = pa.int8()
elif type(dt) == ShortType:
arrow_type = pa.int16()
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18,973 | apache/spark | python/pyspark/sql/types.py | to_arrow_schema | def to_arrow_schema(schema):
""" Convert a schema from Spark to Arrow
"""
import pyarrow as pa
fields = [pa.field(field.name, to_arrow_type(field.dataType), nullable=field.nullable)
for field in schema]
return pa.schema(fields) | python | def to_arrow_schema(schema):
""" Convert a schema from Spark to Arrow
"""
import pyarrow as pa
fields = [pa.field(field.name, to_arrow_type(field.dataType), nullable=field.nullable)
for field in schema]
return pa.schema(fields) | [
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18,974 | apache/spark | python/pyspark/sql/types.py | from_arrow_type | def from_arrow_type(at):
""" Convert pyarrow type to Spark data type.
"""
import pyarrow.types as types
if types.is_boolean(at):
spark_type = BooleanType()
elif types.is_int8(at):
spark_type = ByteType()
elif types.is_int16(at):
spark_type = ShortType()
elif types.is_... | python | def from_arrow_type(at):
""" Convert pyarrow type to Spark data type.
"""
import pyarrow.types as types
if types.is_boolean(at):
spark_type = BooleanType()
elif types.is_int8(at):
spark_type = ByteType()
elif types.is_int16(at):
spark_type = ShortType()
elif types.is_... | [
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18,975 | apache/spark | python/pyspark/sql/types.py | from_arrow_schema | def from_arrow_schema(arrow_schema):
""" Convert schema from Arrow to Spark.
"""
return StructType(
[StructField(field.name, from_arrow_type(field.type), nullable=field.nullable)
for field in arrow_schema]) | python | def from_arrow_schema(arrow_schema):
""" Convert schema from Arrow to Spark.
"""
return StructType(
[StructField(field.name, from_arrow_type(field.type), nullable=field.nullable)
for field in arrow_schema]) | [
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18,976 | apache/spark | python/pyspark/sql/types.py | _check_series_localize_timestamps | def _check_series_localize_timestamps(s, timezone):
"""
Convert timezone aware timestamps to timezone-naive in the specified timezone or local timezone.
If the input series is not a timestamp series, then the same series is returned. If the input
series is a timestamp series, then a converted series is... | python | def _check_series_localize_timestamps(s, timezone):
"""
Convert timezone aware timestamps to timezone-naive in the specified timezone or local timezone.
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18,977 | apache/spark | python/pyspark/sql/types.py | _check_dataframe_localize_timestamps | def _check_dataframe_localize_timestamps(pdf, timezone):
"""
Convert timezone aware timestamps to timezone-naive in the specified timezone or local timezone
:param pdf: pandas.DataFrame
:param timezone: the timezone to convert. if None then use local timezone
:return pandas.DataFrame where any time... | python | def _check_dataframe_localize_timestamps(pdf, timezone):
"""
Convert timezone aware timestamps to timezone-naive in the specified timezone or local timezone
:param pdf: pandas.DataFrame
:param timezone: the timezone to convert. if None then use local timezone
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18,978 | apache/spark | python/pyspark/sql/types.py | _check_series_convert_timestamps_internal | def _check_series_convert_timestamps_internal(s, timezone):
"""
Convert a tz-naive timestamp in the specified timezone or local timezone to UTC normalized for
Spark internal storage
:param s: a pandas.Series
:param timezone: the timezone to convert. if None then use local timezone
:return panda... | python | def _check_series_convert_timestamps_internal(s, timezone):
"""
Convert a tz-naive timestamp in the specified timezone or local timezone to UTC normalized for
Spark internal storage
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18,979 | apache/spark | python/pyspark/sql/types.py | _check_series_convert_timestamps_localize | def _check_series_convert_timestamps_localize(s, from_timezone, to_timezone):
"""
Convert timestamp to timezone-naive in the specified timezone or local timezone
:param s: a pandas.Series
:param from_timezone: the timezone to convert from. if None then use local timezone
:param to_timezone: the tim... | python | def _check_series_convert_timestamps_localize(s, from_timezone, to_timezone):
"""
Convert timestamp to timezone-naive in the specified timezone or local timezone
:param s: a pandas.Series
:param from_timezone: the timezone to convert from. if None then use local timezone
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18,980 | apache/spark | python/pyspark/sql/types.py | Row.asDict | def asDict(self, recursive=False):
"""
Return as an dict
:param recursive: turns the nested Row as dict (default: False).
>>> Row(name="Alice", age=11).asDict() == {'name': 'Alice', 'age': 11}
True
>>> row = Row(key=1, value=Row(name='a', age=2))
>>> row.asDict(... | python | def asDict(self, recursive=False):
"""
Return as an dict
:param recursive: turns the nested Row as dict (default: False).
>>> Row(name="Alice", age=11).asDict() == {'name': 'Alice', 'age': 11}
True
>>> row = Row(key=1, value=Row(name='a', age=2))
>>> row.asDict(... | [
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18,981 | apache/spark | python/pyspark/shuffle.py | _get_local_dirs | def _get_local_dirs(sub):
""" Get all the directories """
path = os.environ.get("SPARK_LOCAL_DIRS", "/tmp")
dirs = path.split(",")
if len(dirs) > 1:
# different order in different processes and instances
rnd = random.Random(os.getpid() + id(dirs))
random.shuffle(dirs, rnd.random)... | python | def _get_local_dirs(sub):
""" Get all the directories """
path = os.environ.get("SPARK_LOCAL_DIRS", "/tmp")
dirs = path.split(",")
if len(dirs) > 1:
# different order in different processes and instances
rnd = random.Random(os.getpid() + id(dirs))
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18,982 | apache/spark | python/pyspark/shuffle.py | ExternalMerger.mergeValues | def mergeValues(self, iterator):
""" Combine the items by creator and combiner """
# speedup attribute lookup
creator, comb = self.agg.createCombiner, self.agg.mergeValue
c, data, pdata, hfun, batch = 0, self.data, self.pdata, self._partition, self.batch
limit = self.memory_limit... | python | def mergeValues(self, iterator):
""" Combine the items by creator and combiner """
# speedup attribute lookup
creator, comb = self.agg.createCombiner, self.agg.mergeValue
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18,983 | apache/spark | python/pyspark/shuffle.py | ExternalMerger.items | def items(self):
""" Return all merged items as iterator """
if not self.pdata and not self.spills:
return iter(self.data.items())
return self._external_items() | python | def items(self):
""" Return all merged items as iterator """
if not self.pdata and not self.spills:
return iter(self.data.items())
return self._external_items() | [
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18,984 | apache/spark | python/pyspark/shuffle.py | ExternalMerger._external_items | def _external_items(self):
""" Return all partitioned items as iterator """
assert not self.data
if any(self.pdata):
self._spill()
# disable partitioning and spilling when merge combiners from disk
self.pdata = []
try:
for i in range(self.partitio... | python | def _external_items(self):
""" Return all partitioned items as iterator """
assert not self.data
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# disable partitioning and spilling when merge combiners from disk
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18,985 | apache/spark | python/pyspark/shuffle.py | ExternalMerger._recursive_merged_items | def _recursive_merged_items(self, index):
"""
merge the partitioned items and return the as iterator
If one partition can not be fit in memory, then them will be
partitioned and merged recursively.
"""
subdirs = [os.path.join(d, "parts", str(index)) for d in self.localdi... | python | def _recursive_merged_items(self, index):
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18,986 | apache/spark | python/pyspark/shuffle.py | ExternalSorter.sorted | def sorted(self, iterator, key=None, reverse=False):
"""
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goes above the limit.
"""
global MemoryBytesSpilled, DiskBytesSpilled
batch, limit = 100, self._next_limit()
chunks, current_chunk = [], []
... | python | def sorted(self, iterator, key=None, reverse=False):
"""
Sort the elements in iterator, do external sort when the memory
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"""
global MemoryBytesSpilled, DiskBytesSpilled
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18,987 | apache/spark | python/pyspark/shuffle.py | ExternalList._spill | def _spill(self):
""" dump the values into disk """
global MemoryBytesSpilled, DiskBytesSpilled
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self._open_file()
used_memory = get_used_memory()
pos = self._file.tell()
self._ser.dump_stream(self.values, self._file)
self.values... | python | def _spill(self):
""" dump the values into disk """
global MemoryBytesSpilled, DiskBytesSpilled
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self._open_file()
used_memory = get_used_memory()
pos = self._file.tell()
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18,988 | apache/spark | python/pyspark/shuffle.py | ExternalGroupBy._merge_sorted_items | def _merge_sorted_items(self, index):
""" load a partition from disk, then sort and group by key """
def load_partition(j):
path = self._get_spill_dir(j)
p = os.path.join(path, str(index))
with open(p, 'rb', 65536) as f:
for v in self.serializer.load_s... | python | def _merge_sorted_items(self, index):
""" load a partition from disk, then sort and group by key """
def load_partition(j):
path = self._get_spill_dir(j)
p = os.path.join(path, str(index))
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] | 618d6bff71073c8c93501ab7392c3cc579730f0b | https://github.com/apache/spark/blob/618d6bff71073c8c93501ab7392c3cc579730f0b/python/pyspark/shuffle.py#L786-L808 |
18,989 | apache/spark | python/pyspark/rdd.py | portable_hash | def portable_hash(x):
"""
This function returns consistent hash code for builtin types, especially
for None and tuple with None.
The algorithm is similar to that one used by CPython 2.7
>>> portable_hash(None)
0
>>> portable_hash((None, 1)) & 0xffffffff
219750521
"""
if sys.ve... | python | def portable_hash(x):
"""
This function returns consistent hash code for builtin types, especially
for None and tuple with None.
The algorithm is similar to that one used by CPython 2.7
>>> portable_hash(None)
0
>>> portable_hash((None, 1)) & 0xffffffff
219750521
"""
if sys.ve... | [
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>>> portable_hash((None, 1)) & 0xffffffff
219750521 | [
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18,990 | apache/spark | python/pyspark/rdd.py | ignore_unicode_prefix | def ignore_unicode_prefix(f):
"""
Ignore the 'u' prefix of string in doc tests, to make it works
in both python 2 and 3
"""
if sys.version >= '3':
# the representation of unicode string in Python 3 does not have prefix 'u',
# so remove the prefix 'u' for doc tests
literal_re ... | python | def ignore_unicode_prefix(f):
"""
Ignore the 'u' prefix of string in doc tests, to make it works
in both python 2 and 3
"""
if sys.version >= '3':
# the representation of unicode string in Python 3 does not have prefix 'u',
# so remove the prefix 'u' for doc tests
literal_re ... | [
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18,991 | apache/spark | python/pyspark/rdd.py | RDD.unpersist | def unpersist(self, blocking=False):
"""
Mark the RDD as non-persistent, and remove all blocks for it from
memory and disk.
.. versionchanged:: 3.0.0
Added optional argument `blocking` to specify whether to block until all
blocks are deleted.
"""
se... | python | def unpersist(self, blocking=False):
"""
Mark the RDD as non-persistent, and remove all blocks for it from
memory and disk.
.. versionchanged:: 3.0.0
Added optional argument `blocking` to specify whether to block until all
blocks are deleted.
"""
se... | [
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.. versionchanged:: 3.0.0
Added optional argument `blocking` to specify whether to block until all
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18,992 | apache/spark | python/pyspark/rdd.py | RDD.getCheckpointFile | def getCheckpointFile(self):
"""
Gets the name of the file to which this RDD was checkpointed
Not defined if RDD is checkpointed locally.
"""
checkpointFile = self._jrdd.rdd().getCheckpointFile()
if checkpointFile.isDefined():
return checkpointFile.get() | python | def getCheckpointFile(self):
"""
Gets the name of the file to which this RDD was checkpointed
Not defined if RDD is checkpointed locally.
"""
checkpointFile = self._jrdd.rdd().getCheckpointFile()
if checkpointFile.isDefined():
return checkpointFile.get() | [
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18,993 | apache/spark | python/pyspark/rdd.py | RDD.map | def map(self, f, preservesPartitioning=False):
"""
Return a new RDD by applying a function to each element of this RDD.
>>> rdd = sc.parallelize(["b", "a", "c"])
>>> sorted(rdd.map(lambda x: (x, 1)).collect())
[('a', 1), ('b', 1), ('c', 1)]
"""
def func(_, iterat... | python | def map(self, f, preservesPartitioning=False):
"""
Return a new RDD by applying a function to each element of this RDD.
>>> rdd = sc.parallelize(["b", "a", "c"])
>>> sorted(rdd.map(lambda x: (x, 1)).collect())
[('a', 1), ('b', 1), ('c', 1)]
"""
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>>> rdd = sc.parallelize(["b", "a", "c"])
>>> sorted(rdd.map(lambda x: (x, 1)).collect())
[('a', 1), ('b', 1), ('c', 1)] | [
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18,994 | apache/spark | python/pyspark/rdd.py | RDD.flatMap | def flatMap(self, f, preservesPartitioning=False):
"""
Return a new RDD by first applying a function to all elements of this
RDD, and then flattening the results.
>>> rdd = sc.parallelize([2, 3, 4])
>>> sorted(rdd.flatMap(lambda x: range(1, x)).collect())
[1, 1, 1, 2, 2,... | python | def flatMap(self, f, preservesPartitioning=False):
"""
Return a new RDD by first applying a function to all elements of this
RDD, and then flattening the results.
>>> rdd = sc.parallelize([2, 3, 4])
>>> sorted(rdd.flatMap(lambda x: range(1, x)).collect())
[1, 1, 1, 2, 2,... | [
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>>> sorted(rdd.flatMap(lambda x: range(1, x)).collect())
[1, 1, 1, 2, 2, 3]
>>> sorted(rdd.flatMap(lambda x: [(x, x), (x, x)]).collect(... | [
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18,995 | apache/spark | python/pyspark/rdd.py | RDD.mapPartitions | def mapPartitions(self, f, preservesPartitioning=False):
"""
Return a new RDD by applying a function to each partition of this RDD.
>>> rdd = sc.parallelize([1, 2, 3, 4], 2)
>>> def f(iterator): yield sum(iterator)
>>> rdd.mapPartitions(f).collect()
[3, 7]
"""
... | python | def mapPartitions(self, f, preservesPartitioning=False):
"""
Return a new RDD by applying a function to each partition of this RDD.
>>> rdd = sc.parallelize([1, 2, 3, 4], 2)
>>> def f(iterator): yield sum(iterator)
>>> rdd.mapPartitions(f).collect()
[3, 7]
"""
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>>> def f(iterator): yield sum(iterator)
>>> rdd.mapPartitions(f).collect()
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18,996 | apache/spark | python/pyspark/rdd.py | RDD.distinct | def distinct(self, numPartitions=None):
"""
Return a new RDD containing the distinct elements in this RDD.
>>> sorted(sc.parallelize([1, 1, 2, 3]).distinct().collect())
[1, 2, 3]
"""
return self.map(lambda x: (x, None)) \
.reduceByKey(lambda x, _: x, n... | python | def distinct(self, numPartitions=None):
"""
Return a new RDD containing the distinct elements in this RDD.
>>> sorted(sc.parallelize([1, 1, 2, 3]).distinct().collect())
[1, 2, 3]
"""
return self.map(lambda x: (x, None)) \
.reduceByKey(lambda x, _: x, n... | [
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>>> sorted(sc.parallelize([1, 1, 2, 3]).distinct().collect())
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18,997 | apache/spark | python/pyspark/rdd.py | RDD.sample | def sample(self, withReplacement, fraction, seed=None):
"""
Return a sampled subset of this RDD.
:param withReplacement: can elements be sampled multiple times (replaced when sampled out)
:param fraction: expected size of the sample as a fraction of this RDD's size
without r... | python | def sample(self, withReplacement, fraction, seed=None):
"""
Return a sampled subset of this RDD.
:param withReplacement: can elements be sampled multiple times (replaced when sampled out)
:param fraction: expected size of the sample as a fraction of this RDD's size
without r... | [
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18,998 | apache/spark | python/pyspark/rdd.py | RDD.randomSplit | def randomSplit(self, weights, seed=None):
"""
Randomly splits this RDD with the provided weights.
:param weights: weights for splits, will be normalized if they don't sum to 1
:param seed: random seed
:return: split RDDs in a list
>>> rdd = sc.parallelize(range(500), 1... | python | def randomSplit(self, weights, seed=None):
"""
Randomly splits this RDD with the provided weights.
:param weights: weights for splits, will be normalized if they don't sum to 1
:param seed: random seed
:return: split RDDs in a list
>>> rdd = sc.parallelize(range(500), 1... | [
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:return: split RDDs in a list
>>> rdd = sc.parallelize(range(500), 1)
>>> rdd1, rdd2 = rdd.randomSplit([2, 3], 17)
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18,999 | apache/spark | python/pyspark/rdd.py | RDD.takeSample | def takeSample(self, withReplacement, num, seed=None):
"""
Return a fixed-size sampled subset of this RDD.
.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
>>> rdd = sc.parallelize(... | python | def takeSample(self, withReplacement, num, seed=None):
"""
Return a fixed-size sampled subset of this RDD.
.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
>>> rdd = sc.parallelize(... | [
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.. note:: This method should only be used if the resulting array is expected
to be small, as all the data is loaded into the driver's memory.
>>> rdd = sc.parallelize(range(0, 10))
>>> len(rdd.takeSample(True, 20, 1))
20
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