blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1101944ef84db9d1666f2eec3bf1fb61f4b964e6 | [
"dummy_head = ListNode(0)\ndummy_head.next = head\ncur = dummy_head\nwhile cur.next is not None:\n if cur.next.val == val:\n cur.next = cur.next.next\n else:\n cur = cur.next\nreturn dummy_head.next",
"while head is not None and head.val == val:\n head = head.next\npre = head\ncur = head.ne... | <|body_start_0|>
dummy_head = ListNode(0)
dummy_head.next = head
cur = dummy_head
while cur.next is not None:
if cur.next.val == val:
cur.next = cur.next.next
else:
cur = cur.next
return dummy_head.next
<|end_body_0|>
<|bod... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
"""带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)"""
<|body_0|>
def removeElements_2(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
"""不带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度... | stack_v2_sparse_classes_36k_train_033300 | 1,803 | no_license | [
{
"docstring": "带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)",
"name": "removeElements",
"signature": "def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]"
},
{
"docstring": "不带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)",
"name": "removeElements_2",
"signature": "def remove... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]: 带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)
- def removeElements_2(self, head: Optional[ListNode], val... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]: 带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)
- def removeElements_2(self, head: Optional[ListNode], val... | c92a5ddcc56e3f69be1e6fb25e9c8ed277e57ee0 | <|skeleton|>
class Solution:
def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
"""带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)"""
<|body_0|>
def removeElements_2(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
"""不带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeElements(self, head: Optional[ListNode], val: int) -> Optional[ListNode]:
"""带虚拟头节点的链表 * 时间复杂度 O(n) * 空间复杂度 O(1)"""
dummy_head = ListNode(0)
dummy_head.next = head
cur = dummy_head
while cur.next is not None:
if cur.next.val == val:
... | the_stack_v2_python_sparse | code_thinking/list_node/203.remove_linked_list_elements.py | EachenKuang/LeetCode | train | 28 | |
3f2182fed3b446fed3e3b342c1f22ddb93e5d681 | [
"self._dbName = os.environ['MOPS_DBINSTANCE']\nself._instance = mopsInstance = Instance(self._dbName)\nself._conn = self._instance.get_dbh()\nself._cursor = self._conn.cursor()\nsql = 'select o.orbit_id, o.q, o.e, o.i, o.node, o.arg_peri, ' + 'o.time_peri, o.h_v, o.epoch, o.cov_01, o.cov_02, o.cov_03, ' + 'o.cov_04... | <|body_start_0|>
self._dbName = os.environ['MOPS_DBINSTANCE']
self._instance = mopsInstance = Instance(self._dbName)
self._conn = self._instance.get_dbh()
self._cursor = self._conn.cursor()
sql = 'select o.orbit_id, o.q, o.e, o.i, o.node, o.arg_peri, ' + 'o.time_peri, o.h_v, o.ep... | OrbitTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrbitTests:
def setUp(self):
"""Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
<|body_0|>
def testSave(self):
"""Test the insertion of a dummy Orbit instance in the DB."... | stack_v2_sparse_classes_36k_train_033301 | 17,613 | no_license | [
{
"docstring": "Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test the insertion of a dummy Orbit instance in the DB.",
"name":... | 2 | stack_v2_sparse_classes_30k_train_002019 | Implement the Python class `OrbitTests` described below.
Class description:
Implement the OrbitTests class.
Method signatures and docstrings:
- def setUp(self): Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.
- def testSave(... | Implement the Python class `OrbitTests` described below.
Class description:
Implement the OrbitTests class.
Method signatures and docstrings:
- def setUp(self): Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it.
- def testSave(... | 06858b7e935243da7a3f55b3e5097d6440e0c1c2 | <|skeleton|>
class OrbitTests:
def setUp(self):
"""Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
<|body_0|>
def testSave(self):
"""Test the insertion of a dummy Orbit instance in the DB."... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrbitTests:
def setUp(self):
"""Just create an Orbit instance from data in the DB. We will use that instance in our tests. We choose a field with tracklets associated to it."""
self._dbName = os.environ['MOPS_DBINSTANCE']
self._instance = mopsInstance = Instance(self._dbName)
s... | the_stack_v2_python_sparse | python/MOPS/test.py | ldenneau/mopsng | train | 0 | |
e7756647069a86917d7b30433236251bb74e00af | [
"logger = OperationLogger(outfile=StringIO())\nlogger.observe(dict(type='operation', phase='start', user='user01', label='testing', lag=0.5))\nlogger.observe(dict(type='operation', phase='end', user='user01', duration=0.35, label='testing', success=True))\nself.assertEqual([], logger.failures())",
"logger = Opera... | <|body_start_0|>
logger = OperationLogger(outfile=StringIO())
logger.observe(dict(type='operation', phase='start', user='user01', label='testing', lag=0.5))
logger.observe(dict(type='operation', phase='end', user='user01', duration=0.35, label='testing', success=True))
self.assertEqual([... | Tests for L{OperationLogger}. | OperationLoggerTests | [
"Apache-2.0",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OperationLoggerTests:
"""Tests for L{OperationLogger}."""
def test_noFailures(self):
"""If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list."""
<|body_0|>
def test_lagLimitExceeded(self):
"""If t... | stack_v2_sparse_classes_36k_train_033302 | 42,388 | permissive | [
{
"docstring": "If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list.",
"name": "test_noFailures",
"signature": "def test_noFailures(self)"
},
{
"docstring": "If the median scheduling lag for any operation in the simulation excee... | 4 | null | Implement the Python class `OperationLoggerTests` described below.
Class description:
Tests for L{OperationLogger}.
Method signatures and docstrings:
- def test_noFailures(self): If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list.
- def test_lagLimi... | Implement the Python class `OperationLoggerTests` described below.
Class description:
Tests for L{OperationLogger}.
Method signatures and docstrings:
- def test_noFailures(self): If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list.
- def test_lagLimi... | cb2962f1f1927f1e52ea405094fa3e7e180f23cb | <|skeleton|>
class OperationLoggerTests:
"""Tests for L{OperationLogger}."""
def test_noFailures(self):
"""If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list."""
<|body_0|>
def test_lagLimitExceeded(self):
"""If t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OperationLoggerTests:
"""Tests for L{OperationLogger}."""
def test_noFailures(self):
"""If the median lag is below 1 second and the failure rate is below 1%, L{OperationLogger.failures} returns an empty list."""
logger = OperationLogger(outfile=StringIO())
logger.observe(dict(type... | the_stack_v2_python_sparse | contrib/performance/loadtest/test_profiles.py | ass-a2s/ccs-calendarserver | train | 2 |
8e6e91d4f005fbba0c6439d91f920fb039832372 | [
"start, count = ({}, {})\ndegree, res = (0, len(nums))\nfor i, num in enumerate(nums):\n count[num] = count.get(num, 0) + 1\n if num not in start:\n start[num] = i\n if count[num] == degree:\n res = min(res, i - start[num] + 1)\n elif count[num] > degree:\n degree = count[num]\n ... | <|body_start_0|>
start, count = ({}, {})
degree, res = (0, len(nums))
for i, num in enumerate(nums):
count[num] = count.get(num, 0) + 1
if num not in start:
start[num] = i
if count[num] == degree:
res = min(res, i - start[num] +... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findShortestSubArray(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findShortestSubArray2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
start, count = ({}, {})
... | stack_v2_sparse_classes_36k_train_033303 | 2,307 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findShortestSubArray",
"signature": "def findShortestSubArray(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "findShortestSubArray2",
"signature": "def findShortestSubArray2(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findShortestSubArray(self, nums): :type nums: List[int] :rtype: int
- def findShortestSubArray2(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findShortestSubArray(self, nums): :type nums: List[int] :rtype: int
- def findShortestSubArray2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
... | 635af6e22aa8eef8e7920a585d43a45a891a8157 | <|skeleton|>
class Solution:
def findShortestSubArray(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def findShortestSubArray2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findShortestSubArray(self, nums):
""":type nums: List[int] :rtype: int"""
start, count = ({}, {})
degree, res = (0, len(nums))
for i, num in enumerate(nums):
count[num] = count.get(num, 0) + 1
if num not in start:
start[num]... | the_stack_v2_python_sparse | code697DegreeOfAnArray.py | cybelewang/leetcode-python | train | 0 | |
90dbd11b6b564557c39d0a29672c08f22feba26a | [
"if model._meta.app_label == 'amavis':\n return 'amavis'\nreturn None",
"if model._meta.app_label == 'amavis':\n return 'amavis'\nreturn None",
"if obj1._meta.app_label == 'amavis' or obj2._meta.app_label == 'amavis':\n return True\nreturn None",
"if db == 'amavis':\n return model._meta.app_label ... | <|body_start_0|>
if model._meta.app_label == 'amavis':
return 'amavis'
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label == 'amavis':
return 'amavis'
return None
<|end_body_1|>
<|body_start_2|>
if obj1._meta.app_label == 'amavis' or ob... | A router to control all database operations on models in the amavis application | AmavisRouter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AmavisRouter:
"""A router to control all database operations on models in the amavis application"""
def db_for_read(self, model, **hints):
"""Point all operations on amavis models to 'amavis'"""
<|body_0|>
def db_for_write(self, model, **hints):
"""Point all oper... | stack_v2_sparse_classes_36k_train_033304 | 1,056 | permissive | [
{
"docstring": "Point all operations on amavis models to 'amavis'",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Point all operations on amavis models to 'amavis'",
"name": "db_for_write",
"signature": "def db_for_write(self, model, **hin... | 4 | null | Implement the Python class `AmavisRouter` described below.
Class description:
A router to control all database operations on models in the amavis application
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Point all operations on amavis models to 'amavis'
- def db_for_write(self, model, **h... | Implement the Python class `AmavisRouter` described below.
Class description:
A router to control all database operations on models in the amavis application
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Point all operations on amavis models to 'amavis'
- def db_for_write(self, model, **h... | 03fce9f5bba87ef00a4beae81e9a7c182c00271a | <|skeleton|>
class AmavisRouter:
"""A router to control all database operations on models in the amavis application"""
def db_for_read(self, model, **hints):
"""Point all operations on amavis models to 'amavis'"""
<|body_0|>
def db_for_write(self, model, **hints):
"""Point all oper... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AmavisRouter:
"""A router to control all database operations on models in the amavis application"""
def db_for_read(self, model, **hints):
"""Point all operations on amavis models to 'amavis'"""
if model._meta.app_label == 'amavis':
return 'amavis'
return None
def... | the_stack_v2_python_sparse | modoboa/extensions/amavis/dbrouter.py | kirillsem/modoboa | train | 1 |
4c5638a1199cc7adc23b6925ea962a917c36065c | [
"threading.Thread.__init__(self)\nfor key, function in event_list.iteritems():\n event_function = event_list[key]\n key = str(key).upper()\n if key.find('+') >= 0:\n sub_key, key = key.split('+', 1)\n sub_key = sub_key.strip()\n if sub_key not in SUPPORT_SUB_KEYBOARD_LIST:\n ... | <|body_start_0|>
threading.Thread.__init__(self)
for key, function in event_list.iteritems():
event_function = event_list[key]
key = str(key).upper()
if key.find('+') >= 0:
sub_key, key = key.split('+', 1)
sub_key = sub_key.strip()
... | Keyboard Event Listener Class | KeyboardEvent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeyboardEvent:
"""Keyboard Event Listener Class"""
def __init__(self, event_list):
"""Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object"""
<|body_0|>
def on_keyboard_down(self, event):
"""Func... | stack_v2_sparse_classes_36k_train_033305 | 3,739 | no_license | [
{
"docstring": "Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object",
"name": "__init__",
"signature": "def __init__(self, event_list)"
},
{
"docstring": "Function of key down event listener",
"name": "on_keyboard_down",
... | 4 | null | Implement the Python class `KeyboardEvent` described below.
Class description:
Keyboard Event Listener Class
Method signatures and docstrings:
- def __init__(self, event_list): Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object
- def on_keyboard_do... | Implement the Python class `KeyboardEvent` described below.
Class description:
Keyboard Event Listener Class
Method signatures and docstrings:
- def __init__(self, event_list): Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object
- def on_keyboard_do... | 17029e4d3944ffadf042484037ea7aaf28539606 | <|skeleton|>
class KeyboardEvent:
"""Keyboard Event Listener Class"""
def __init__(self, event_list):
"""Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object"""
<|body_0|>
def on_keyboard_down(self, event):
"""Func... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KeyboardEvent:
"""Keyboard Event Listener Class"""
def __init__(self, event_list):
"""Init keyboard Event Listener :param event_list: dictionary of key and trigger function key name => event function object"""
threading.Thread.__init__(self)
for key, function in event_list.iterite... | the_stack_v2_python_sparse | common/keyboardEvent.py | yxw19870806/PyCrawler | train | 5 |
7c5ad5e1a150667f2e6b2edbec5d2933171c7295 | [
"super(Subscription, self).__init__(logger)\nself.__context = zmq_context\nself.__addr = remote_address\nself.__socket = self.__context.socket(zmq.SUB)\nself.__socket.setsockopt_string(zmq.SUBSCRIBE, '')\nself.__socket.connect(self.__addr)\nself.__backlog = Queue(1024)\nself.__lock = Lock()",
"with self.__lock:\n... | <|body_start_0|>
super(Subscription, self).__init__(logger)
self.__context = zmq_context
self.__addr = remote_address
self.__socket = self.__context.socket(zmq.SUB)
self.__socket.setsockopt_string(zmq.SUBSCRIBE, '')
self.__socket.connect(self.__addr)
self.__backlo... | Subscription to a publishing endpoint. | Subscription | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Subscription:
"""Subscription to a publishing endpoint."""
def __init__(self, remote_address, zmq_context, logger):
"""Subscribe to a publishing endpoint at remote_address. Requires a zmq context."""
<|body_0|>
def recv(self, poll_timeout: int=500) -> Optional[str]:
... | stack_v2_sparse_classes_36k_train_033306 | 7,085 | no_license | [
{
"docstring": "Subscribe to a publishing endpoint at remote_address. Requires a zmq context.",
"name": "__init__",
"signature": "def __init__(self, remote_address, zmq_context, logger)"
},
{
"docstring": "Retrieve a message. Return value None after poll_timeout milliseconds.",
"name": "recv... | 3 | stack_v2_sparse_classes_30k_train_005669 | Implement the Python class `Subscription` described below.
Class description:
Subscription to a publishing endpoint.
Method signatures and docstrings:
- def __init__(self, remote_address, zmq_context, logger): Subscribe to a publishing endpoint at remote_address. Requires a zmq context.
- def recv(self, poll_timeout:... | Implement the Python class `Subscription` described below.
Class description:
Subscription to a publishing endpoint.
Method signatures and docstrings:
- def __init__(self, remote_address, zmq_context, logger): Subscribe to a publishing endpoint at remote_address. Requires a zmq context.
- def recv(self, poll_timeout:... | afecef14627e297b38331668ed04c844329957b2 | <|skeleton|>
class Subscription:
"""Subscription to a publishing endpoint."""
def __init__(self, remote_address, zmq_context, logger):
"""Subscribe to a publishing endpoint at remote_address. Requires a zmq context."""
<|body_0|>
def recv(self, poll_timeout: int=500) -> Optional[str]:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Subscription:
"""Subscription to a publishing endpoint."""
def __init__(self, remote_address, zmq_context, logger):
"""Subscribe to a publishing endpoint at remote_address. Requires a zmq context."""
super(Subscription, self).__init__(logger)
self.__context = zmq_context
s... | the_stack_v2_python_sparse | composte/network/client.py | AlexisGoodfellow/Composte | train | 0 |
de25d5871c4fed7907e799504bdff308a55c6c49 | [
"self.freqs = frequencies\nself.chains = chains_seq\nself.evals = evals\nself.bads = pd.DataFrame({'allowed': self.get_worst('allowed'), 'outlier': self.get_worst('outlier')}).fillna(value=0)",
"bad_resis = {}\nfor model in self.evals:\n for res in model.residues[which]:\n chain_ind = self.chains.index(... | <|body_start_0|>
self.freqs = frequencies
self.chains = chains_seq
self.evals = evals
self.bads = pd.DataFrame({'allowed': self.get_worst('allowed'), 'outlier': self.get_worst('outlier')}).fillna(value=0)
<|end_body_0|>
<|body_start_1|>
bad_resis = {}
for model in self.e... | RamachandranEvals | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RamachandranEvals:
def __init__(self, evals, chains_seq, frequencies):
""":param evals: :param chains_seq: :param frequencies:"""
<|body_0|>
def get_worst(self, which):
""":param which: selected group: allowed or outlier :return: dictionary of cumulative amount of wh... | stack_v2_sparse_classes_36k_train_033307 | 6,566 | no_license | [
{
"docstring": ":param evals: :param chains_seq: :param frequencies:",
"name": "__init__",
"signature": "def __init__(self, evals, chains_seq, frequencies)"
},
{
"docstring": ":param which: selected group: allowed or outlier :return: dictionary of cumulative amount of which selected residues",
... | 4 | stack_v2_sparse_classes_30k_train_019749 | Implement the Python class `RamachandranEvals` described below.
Class description:
Implement the RamachandranEvals class.
Method signatures and docstrings:
- def __init__(self, evals, chains_seq, frequencies): :param evals: :param chains_seq: :param frequencies:
- def get_worst(self, which): :param which: selected gr... | Implement the Python class `RamachandranEvals` described below.
Class description:
Implement the RamachandranEvals class.
Method signatures and docstrings:
- def __init__(self, evals, chains_seq, frequencies): :param evals: :param chains_seq: :param frequencies:
- def get_worst(self, which): :param which: selected gr... | fdb8a1a14bcf0b372ebaf152f2bbb1f5d804172e | <|skeleton|>
class RamachandranEvals:
def __init__(self, evals, chains_seq, frequencies):
""":param evals: :param chains_seq: :param frequencies:"""
<|body_0|>
def get_worst(self, which):
""":param which: selected group: allowed or outlier :return: dictionary of cumulative amount of wh... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RamachandranEvals:
def __init__(self, evals, chains_seq, frequencies):
""":param evals: :param chains_seq: :param frequencies:"""
self.freqs = frequencies
self.chains = chains_seq
self.evals = evals
self.bads = pd.DataFrame({'allowed': self.get_worst('allowed'), 'outlie... | the_stack_v2_python_sparse | homology_modeling/model_evaluation/_OLD/OLD_maindir/mm_homology_parse_rama.py | michal2am/bioscripts | train | 3 | |
468aa25f469ef2be7f2730cf01c783b25cbe4e4e | [
"self.disk_file_name = disk_file_name\nself.length_bytes = length_bytes\nself.number = number\nself.offset_bytes = offset_bytes",
"if dictionary is None:\n return None\ndisk_file_name = dictionary.get('diskFileName')\nlength_bytes = dictionary.get('lengthBytes')\nnumber = dictionary.get('number')\noffset_bytes... | <|body_start_0|>
self.disk_file_name = disk_file_name
self.length_bytes = length_bytes
self.number = number
self.offset_bytes = offset_bytes
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
disk_file_name = dictionary.get('diskFileName')
... | Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical partition is. length_bytes (long|int): Specifies the length of the block in bytes. number... | FilePartitionBlock | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FilePartitionBlock:
"""Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical partition is. length_bytes (long|int): Spec... | stack_v2_sparse_classes_36k_train_033308 | 2,389 | permissive | [
{
"docstring": "Constructor for the FilePartitionBlock class",
"name": "__init__",
"signature": "def __init__(self, disk_file_name=None, length_bytes=None, number=None, offset_bytes=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dic... | 2 | stack_v2_sparse_classes_30k_train_018994 | Implement the Python class `FilePartitionBlock` described below.
Class description:
Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical part... | Implement the Python class `FilePartitionBlock` described below.
Class description:
Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical part... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class FilePartitionBlock:
"""Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical partition is. length_bytes (long|int): Spec... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FilePartitionBlock:
"""Implementation of the 'FilePartitionBlock' model. Defines a leaf node of a device tree. This refers to a logical partition in a virtual disk file. Attributes: disk_file_name (string): Specifies the disk file name where the logical partition is. length_bytes (long|int): Specifies the len... | the_stack_v2_python_sparse | cohesity_management_sdk/models/file_partition_block.py | cohesity/management-sdk-python | train | 24 |
cd8aead68725b00364be1e952fa36f51c8ca022e | [
"if scl_pin not in range(PMOD_NUM_DIGITAL_PINS):\n raise ValueError('Valid SCL pin numbers are 0 - {}.'.format(PMOD_NUM_DIGITAL_PINS - 1))\nif sda_pin not in range(PMOD_NUM_DIGITAL_PINS):\n raise ValueError('Valid SDA pin numbers are 0 - {}.'.format(PMOD_NUM_DIGITAL_PINS - 1))\nswitchconfig = []\nfor i in ran... | <|body_start_0|>
if scl_pin not in range(PMOD_NUM_DIGITAL_PINS):
raise ValueError('Valid SCL pin numbers are 0 - {}.'.format(PMOD_NUM_DIGITAL_PINS - 1))
if sda_pin not in range(PMOD_NUM_DIGITAL_PINS):
raise ValueError('Valid SDA pin numbers are 0 - {}.'.format(PMOD_NUM_DIGITAL_PI... | This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instance used by this module. scl_pin : int The SCL pin number. sda_pin : int The ... | Pmod_IIC | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pmod_IIC:
"""This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instance used by this module. scl_pin : int Th... | stack_v2_sparse_classes_36k_train_033309 | 8,871 | permissive | [
{
"docstring": "Return a new instance of a Pmod IIC object. Parameters ---------- mb_info : dict A dictionary storing Microblaze information, such as the IP name and the reset name. scl_pin : int The SCL pin number. sda_pin : int The SDA pin number. iic_addr : int The IIC device address.",
"name": "__init__... | 4 | stack_v2_sparse_classes_30k_train_006955 | Implement the Python class `Pmod_IIC` described below.
Class description:
This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instanc... | Implement the Python class `Pmod_IIC` described below.
Class description:
This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instanc... | 38e9fcee46f0839e83e123cf22af76b13671a574 | <|skeleton|>
class Pmod_IIC:
"""This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instance used by this module. scl_pin : int Th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Pmod_IIC:
"""This class controls the Pmod IIC pins. Note ---- The index of the Pmod pins: upper row, from left to right: {vdd,gnd,3,2,1,0}. lower row, from left to right: {vdd,gnd,7,6,5,4}. Attributes ---------- microblaze : Pmod Microblaze processor instance used by this module. scl_pin : int The SCL pin num... | the_stack_v2_python_sparse | pynq/lib/pmod/pmod_iic.py | yunqu/PYNQ | train | 8 |
c7e7bbab7a917f3c30e63a1489d52a55a4aeb721 | [
"if not num:\n return '0'\nres = []\nchs = '0123456789abcdef'\nif num < 0:\n num += 4294967296\nwhile num:\n res.append(chs[num & 15])\n num >>= 4\nreturn ''.join(res[::-1])",
"if not num:\n return '0'\nresult = []\nchs = '0123456789abcdef'\nwhile num and len(result) != 8:\n result.append(chs[nu... | <|body_start_0|>
if not num:
return '0'
res = []
chs = '0123456789abcdef'
if num < 0:
num += 4294967296
while num:
res.append(chs[num & 15])
num >>= 4
return ''.join(res[::-1])
<|end_body_0|>
<|body_start_1|>
if not... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def toHex(self, num):
""":type num: int :rtype: str"""
<|body_0|>
def to_hex(self, num):
""":type num: int :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not num:
return '0'
res = []
chs = '01234... | stack_v2_sparse_classes_36k_train_033310 | 1,572 | no_license | [
{
"docstring": ":type num: int :rtype: str",
"name": "toHex",
"signature": "def toHex(self, num)"
},
{
"docstring": ":type num: int :rtype: str",
"name": "to_hex",
"signature": "def to_hex(self, num)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def toHex(self, num): :type num: int :rtype: str
- def to_hex(self, num): :type num: int :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def toHex(self, num): :type num: int :rtype: str
- def to_hex(self, num): :type num: int :rtype: str
<|skeleton|>
class Solution:
def toHex(self, num):
""":type num... | 215d513b3564a7a76db3d2b29e4acc341a68e8ee | <|skeleton|>
class Solution:
def toHex(self, num):
""":type num: int :rtype: str"""
<|body_0|>
def to_hex(self, num):
""":type num: int :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def toHex(self, num):
""":type num: int :rtype: str"""
if not num:
return '0'
res = []
chs = '0123456789abcdef'
if num < 0:
num += 4294967296
while num:
res.append(chs[num & 15])
num >>= 4
return ... | the_stack_v2_python_sparse | python/bit-manipulation/convert-number-hexadecimal.py | euxuoh/leetcode | train | 0 | |
cc5d894753cfeaf387e145fa24773090082f6239 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | DropboxSecretServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DropboxSecretServiceServicer:
"""Missing associated documentation comment in .proto file."""
def getDropboxSecret(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def createDropboxSecret(self, request, context):
"... | stack_v2_sparse_classes_36k_train_033311 | 8,451 | permissive | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "getDropboxSecret",
"signature": "def getDropboxSecret(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "createDropboxSecret",
"signature": "de... | 4 | stack_v2_sparse_classes_30k_test_000548 | Implement the Python class `DropboxSecretServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def getDropboxSecret(self, request, context): Missing associated documentation comment in .proto file.
- def createDropboxSecret(se... | Implement the Python class `DropboxSecretServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def getDropboxSecret(self, request, context): Missing associated documentation comment in .proto file.
- def createDropboxSecret(se... | c69e14b409add099d151434b9add711e41f41b20 | <|skeleton|>
class DropboxSecretServiceServicer:
"""Missing associated documentation comment in .proto file."""
def getDropboxSecret(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def createDropboxSecret(self, request, context):
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DropboxSecretServiceServicer:
"""Missing associated documentation comment in .proto file."""
def getDropboxSecret(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not... | the_stack_v2_python_sparse | python-sdk/src/airavata_mft_sdk/dropbox/DropboxSecretService_pb2_grpc.py | apache/airavata-mft | train | 23 |
bb37afd52d3794544c9db054d1051e4e0b485807 | [
"def atMostK(k: int) -> int:\n \"\"\"子数组的最大值不大于k的子数组个数\"\"\"\n res, dp = (0, 0)\n for num in nums:\n if num <= k:\n dp += 1\n else:\n dp = 0\n res += dp\n return res\nreturn (atMostK(right) - atMostK(left - 1)) % MOD",
"n = len(nums)\nres = 0\npos1, pos2 = (-... | <|body_start_0|>
def atMostK(k: int) -> int:
"""子数组的最大值不大于k的子数组个数"""
res, dp = (0, 0)
for num in nums:
if num <= k:
dp += 1
else:
dp = 0
res += dp
return res
return (at... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int:
"""解法1:容斥"""
<|body_0|>
def numSubarrayBoundedMax2(self, nums: List[int], lower: int, upper: int) -> int:
"""解法2:定界子数组"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_033312 | 1,422 | no_license | [
{
"docstring": "解法1:容斥",
"name": "numSubarrayBoundedMax",
"signature": "def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int"
},
{
"docstring": "解法2:定界子数组",
"name": "numSubarrayBoundedMax2",
"signature": "def numSubarrayBoundedMax2(self, nums: List[int], lower: ... | 2 | stack_v2_sparse_classes_30k_train_004757 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int: 解法1:容斥
- def numSubarrayBoundedMax2(self, nums: List[int], lower: int, upper: int) -> int: 解法2:定界子... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int: 解法1:容斥
- def numSubarrayBoundedMax2(self, nums: List[int], lower: int, upper: int) -> int: 解法2:定界子... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int:
"""解法1:容斥"""
<|body_0|>
def numSubarrayBoundedMax2(self, nums: List[int], lower: int, upper: int) -> int:
"""解法2:定界子数组"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numSubarrayBoundedMax(self, nums: List[int], left: int, right: int) -> int:
"""解法1:容斥"""
def atMostK(k: int) -> int:
"""子数组的最大值不大于k的子数组个数"""
res, dp = (0, 0)
for num in nums:
if num <= k:
dp += 1
... | the_stack_v2_python_sparse | 22_专题/atMoskK/最大值在范围内的子数组个数.py | 981377660LMT/algorithm-study | train | 225 | |
9fd25c9e5ad8751e86f1a0636a895838b8dbd8fd | [
"args = self.parser.parse_args()\ndata = self.build_data(args=args, collection='github_scheduler')\nreturn data",
"args = self.parse_args(add_github_scheduler_fields)\nname = args.pop('name')\nkeyword = args.pop('keyword')\nkeyword = keyword.strip()\ncron = args.pop('cron')\nif not keyword:\n return utils.buil... | <|body_start_0|>
args = self.parser.parse_args()
data = self.build_data(args=args, collection='github_scheduler')
return data
<|end_body_0|>
<|body_start_1|>
args = self.parse_args(add_github_scheduler_fields)
name = args.pop('name')
keyword = args.pop('keyword')
... | ARLGithubScheduler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ARLGithubScheduler:
def get(self):
"""Github 监控任务信息查询"""
<|body_0|>
def post(self):
"""Github 监控任务添加"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
args = self.parser.parse_args()
data = self.build_data(args=args, collection='github_schedul... | stack_v2_sparse_classes_36k_train_033313 | 6,973 | no_license | [
{
"docstring": "Github 监控任务信息查询",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Github 监控任务添加",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `ARLGithubScheduler` described below.
Class description:
Implement the ARLGithubScheduler class.
Method signatures and docstrings:
- def get(self): Github 监控任务信息查询
- def post(self): Github 监控任务添加 | Implement the Python class `ARLGithubScheduler` described below.
Class description:
Implement the ARLGithubScheduler class.
Method signatures and docstrings:
- def get(self): Github 监控任务信息查询
- def post(self): Github 监控任务添加
<|skeleton|>
class ARLGithubScheduler:
def get(self):
"""Github 监控任务信息查询"""
... | 5ca64806252b9e7e6d2b31a6bfaeecbfdc4baf06 | <|skeleton|>
class ARLGithubScheduler:
def get(self):
"""Github 监控任务信息查询"""
<|body_0|>
def post(self):
"""Github 监控任务添加"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ARLGithubScheduler:
def get(self):
"""Github 监控任务信息查询"""
args = self.parser.parse_args()
data = self.build_data(args=args, collection='github_scheduler')
return data
def post(self):
"""Github 监控任务添加"""
args = self.parse_args(add_github_scheduler_fields)
... | the_stack_v2_python_sparse | app/routes/github_scheduler.py | QmF0c3UK/ARL | train | 0 | |
8f98070c522168a4c16dec9236f9246f91e67875 | [
"if config.IS_WINDOWS:\n path = str(config.my_datadir / 'prints')\nelse:\n doc_dir = storagepath.get_documents_dir()\n recommended_path = os.path.join(doc_dir, filename)\n path = filechooser.choose_dir(multiple=False, path=recommended_path)\nif isinstance(path, List):\n if len(path) > 0:\n pat... | <|body_start_0|>
if config.IS_WINDOWS:
path = str(config.my_datadir / 'prints')
else:
doc_dir = storagepath.get_documents_dir()
recommended_path = os.path.join(doc_dir, filename)
path = filechooser.choose_dir(multiple=False, path=recommended_path)
... | A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print | PrintService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrintService:
"""A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print"""
def _get_output_pdf_name(self, filename='printme'):
... | stack_v2_sparse_classes_36k_train_033314 | 6,875 | no_license | [
{
"docstring": "Finds out where to save the pdf to Currently asks the user but could be changed to give a tmp directory before sending the file to the printer",
"name": "_get_output_pdf_name",
"signature": "def _get_output_pdf_name(self, filename='printme')"
},
{
"docstring": "Create an address ... | 4 | stack_v2_sparse_classes_30k_train_004144 | Implement the Python class `PrintService` described below.
Class description:
A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print
Method signatures and docst... | Implement the Python class `PrintService` described below.
Class description:
A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print
Method signatures and docst... | 7be0791d8bc0ba30c984d6c99a1094c5267479e6 | <|skeleton|>
class PrintService:
"""A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print"""
def _get_output_pdf_name(self, filename='printme'):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrintService:
"""A service to handle all of the printing needs of the application Due to difficulties with cross platform apis, this class creates a relevant pdf file and instructs the system to open it allowing the user to print"""
def _get_output_pdf_name(self, filename='printme'):
"""Finds out... | the_stack_v2_python_sparse | services/print_service.py | eperegrine/ECM2429-StockManager | train | 1 |
47a3047af5163b39d387bc307425cd0236ce6312 | [
"super(IBMCNN, self).__init__()\nself.params = params\nif params.train_embeddings:\n self.embedding = nn.Embedding(num_embeddings=params.num_embeddings, embedding_dim=params.embedding_dim)\nself.convs = nn.ModuleList([nn.Conv2d(in_channels=1, out_channels=params.num_filters, kernel_size=(fs, params.embedding_dim... | <|body_start_0|>
super(IBMCNN, self).__init__()
self.params = params
if params.train_embeddings:
self.embedding = nn.Embedding(num_embeddings=params.num_embeddings, embedding_dim=params.embedding_dim)
self.convs = nn.ModuleList([nn.Conv2d(in_channels=1, out_channels=params.nu... | CNN Model from IBM paper. | IBMCNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IBMCNN:
"""CNN Model from IBM paper."""
def __init__(self, params):
"""params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding dim: word embedding dimension (200) positional_embedding di... | stack_v2_sparse_classes_36k_train_033315 | 9,205 | no_license | [
{
"docstring": "params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding dim: word embedding dimension (200) positional_embedding dim (50) (optional) TODO: what is this? POS embedding dim (20) (optional) TODO: what ... | 2 | null | Implement the Python class `IBMCNN` described below.
Class description:
CNN Model from IBM paper.
Method signatures and docstrings:
- def __init__(self, params): params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding di... | Implement the Python class `IBMCNN` described below.
Class description:
CNN Model from IBM paper.
Method signatures and docstrings:
- def __init__(self, params): params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding di... | 5440470024a080e77f29374569f9d09f913280e7 | <|skeleton|>
class IBMCNN:
"""CNN Model from IBM paper."""
def __init__(self, params):
"""params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding dim: word embedding dimension (200) positional_embedding di... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IBMCNN:
"""CNN Model from IBM paper."""
def __init__(self, params):
"""params: hyperparameters / settings of the model train_embeddings: train new embeddings? num_embeddings: number of embeddings (i.e. # of tokens) embedding dim: word embedding dimension (200) positional_embedding dim (50) (optio... | the_stack_v2_python_sparse | train_model/cnn_model.py | jacobjinkelly/clinical-ad | train | 3 |
a1c715954f37ba2956a93a61d5e22e7dbf74cff4 | [
"self.failed_processes = []\nself.cnt_proc_total = 0\nself.cnt_proc_ok = 0\nself.cnt_proc_fail = 0\ncontext.initialise(config_file_name, verbose, dry_run, global_overrides)",
"logger.info('Starting the load.')\nself.failed_processes = []\nself.cnt_proc_total = 0\nself.cnt_proc_ok = 0\nself.cnt_proc_fail = 0\nfor ... | <|body_start_0|>
self.failed_processes = []
self.cnt_proc_total = 0
self.cnt_proc_ok = 0
self.cnt_proc_fail = 0
context.initialise(config_file_name, verbose, dry_run, global_overrides)
<|end_body_0|>
<|body_start_1|>
logger.info('Starting the load.')
self.failed_... | A flexible data loader driven by a configuration file, that is passed in the constructor. | Loader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Loader:
"""A flexible data loader driven by a configuration file, that is passed in the constructor."""
def __init__(self, config_file_name: str, verbose: [bool, None], dry_run: bool, global_overrides: dict):
"""Constructor. :param config_file_name: Path to the configuration file in ... | stack_v2_sparse_classes_36k_train_033316 | 5,880 | no_license | [
{
"docstring": "Constructor. :param config_file_name: Path to the configuration file in JSON format. :param verbose: Whether verbose logging is to be used. If not None, overrides logging verbosity setting given in the configuration file. :param dry_run: Whether to avoid making changes to DB. :param global_overr... | 3 | stack_v2_sparse_classes_30k_train_007753 | Implement the Python class `Loader` described below.
Class description:
A flexible data loader driven by a configuration file, that is passed in the constructor.
Method signatures and docstrings:
- def __init__(self, config_file_name: str, verbose: [bool, None], dry_run: bool, global_overrides: dict): Constructor. :p... | Implement the Python class `Loader` described below.
Class description:
A flexible data loader driven by a configuration file, that is passed in the constructor.
Method signatures and docstrings:
- def __init__(self, config_file_name: str, verbose: [bool, None], dry_run: bool, global_overrides: dict): Constructor. :p... | 0e7e13fa30091880ad70014965c5638854987d7e | <|skeleton|>
class Loader:
"""A flexible data loader driven by a configuration file, that is passed in the constructor."""
def __init__(self, config_file_name: str, verbose: [bool, None], dry_run: bool, global_overrides: dict):
"""Constructor. :param config_file_name: Path to the configuration file in ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Loader:
"""A flexible data loader driven by a configuration file, that is passed in the constructor."""
def __init__(self, config_file_name: str, verbose: [bool, None], dry_run: bool, global_overrides: dict):
"""Constructor. :param config_file_name: Path to the configuration file in JSON format. ... | the_stack_v2_python_sparse | pkg/etl/loader.py | yktoo/rattle | train | 0 |
d0886dea4a083db79b295d4d67930d37342e563d | [
"if not root:\n return ''\nstack = [root]\nres = []\nwhile stack:\n node = stack.pop()\n if node:\n res.append(str(node.val))\n stack.append(node.left)\n stack.append(node.right)\n else:\n res.append('null')\nreturn ','.join(res)",
"if not data:\n return None\nvals = dat... | <|body_start_0|>
if not root:
return ''
stack = [root]
res = []
while stack:
node = stack.pop()
if node:
res.append(str(node.val))
stack.append(node.left)
stack.append(node.right)
else:
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_033317 | 3,621 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | dbdb227e12f329e4ca064b338f1fbdca42f3a848 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return ''
stack = [root]
res = []
while stack:
node = stack.pop()
if node:
res.append(str(node.va... | the_stack_v2_python_sparse | LC297.py | Qiao-Liang/LeetCode | train | 0 | |
f4cf9c45504c6104bd3ee264b91dff8d1f1f1cd7 | [
"\"\"\"\n https: // blog.csdn.net / qq_17550379 / article / details / 85234090\n 判断4个点到中点的距离是否一致即可判断矩形！！\n \"\"\"\nfrom itertools import combinations, permutations\n\ndef isRectangle(p1, p2, p3, p4):\n\n def _dis(p1, p2):\n return (p1[0] - p2[0]) ** 2 + (p1[1] - p2[1]) ** 2\n x_c =... | <|body_start_0|>
"""
https: // blog.csdn.net / qq_17550379 / article / details / 85234090
判断4个点到中点的距离是否一致即可判断矩形！！
"""
from itertools import combinations, permutations
def isRectangle(p1, p2, p3, p4):
def _dis(p1, p2):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minAreaFreeRect(self, points):
""":type points: List[List[int]] :rtype: float overtime"""
<|body_0|>
def minAreaFreeRect_1(self, points):
""":type points: List[List[int]] :rtype: float 120 ms 13.3 MB"""
<|body_1|>
def minAreaFreeRect_2(self... | stack_v2_sparse_classes_36k_train_033318 | 5,573 | no_license | [
{
"docstring": ":type points: List[List[int]] :rtype: float overtime",
"name": "minAreaFreeRect",
"signature": "def minAreaFreeRect(self, points)"
},
{
"docstring": ":type points: List[List[int]] :rtype: float 120 ms 13.3 MB",
"name": "minAreaFreeRect_1",
"signature": "def minAreaFreeRec... | 3 | stack_v2_sparse_classes_30k_train_001106 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minAreaFreeRect(self, points): :type points: List[List[int]] :rtype: float overtime
- def minAreaFreeRect_1(self, points): :type points: List[List[int]] :rtype: float 120 ms ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minAreaFreeRect(self, points): :type points: List[List[int]] :rtype: float overtime
- def minAreaFreeRect_1(self, points): :type points: List[List[int]] :rtype: float 120 ms ... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def minAreaFreeRect(self, points):
""":type points: List[List[int]] :rtype: float overtime"""
<|body_0|>
def minAreaFreeRect_1(self, points):
""":type points: List[List[int]] :rtype: float 120 ms 13.3 MB"""
<|body_1|>
def minAreaFreeRect_2(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minAreaFreeRect(self, points):
""":type points: List[List[int]] :rtype: float overtime"""
"""
https: // blog.csdn.net / qq_17550379 / article / details / 85234090
判断4个点到中点的距离是否一致即可判断矩形！！
"""
from itertools import combination... | the_stack_v2_python_sparse | MinimumAreaRectangleII_MID_963.py | 953250587/leetcode-python | train | 2 | |
f34ed7cefef032834977ea80bb5298dd76215b3e | [
"warning_suffix = 'which will cause some Telemetry tests to stall when run on a headless machine (e.g. perf bot).'\nif keychain_helper.IsKeychainLocked():\n logging.warning('The default keychain is locked, %s', warning_suffix)\nif keychain_helper.DoesKeychainHaveTimeout():\n logging.warning('The default keych... | <|body_start_0|>
warning_suffix = 'which will cause some Telemetry tests to stall when run on a headless machine (e.g. perf bot).'
if keychain_helper.IsKeychainLocked():
logging.warning('The default keychain is locked, %s', warning_suffix)
if keychain_helper.DoesKeychainHaveTimeout()... | KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed. | KeychainMetric | [
"BSD-3-Clause",
"LGPL-2.0-or-later",
"LicenseRef-scancode-unknown-license-reference",
"GPL-2.0-only",
"Apache-2.0",
"LicenseRef-scancode-unknown",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeychainMetric:
"""KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed."""
def _CheckKeychainConfiguration():
"""On OSX, it is possible for a misconfigured keychain to cause the Telemetry tests to stall.... | stack_v2_sparse_classes_36k_train_033319 | 2,966 | permissive | [
{
"docstring": "On OSX, it is possible for a misconfigured keychain to cause the Telemetry tests to stall. This method confirms that the keychain is in a sane state that will not cause this behavior. Three conditions are checked: - The keychain is unlocked. - The keychain will not auto-lock after a period of ti... | 3 | stack_v2_sparse_classes_30k_train_020735 | Implement the Python class `KeychainMetric` described below.
Class description:
KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed.
Method signatures and docstrings:
- def _CheckKeychainConfiguration(): On OSX, it is possible for a misc... | Implement the Python class `KeychainMetric` described below.
Class description:
KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed.
Method signatures and docstrings:
- def _CheckKeychainConfiguration(): On OSX, it is possible for a misc... | 72a05af97787001756bae2511b7985e61498c965 | <|skeleton|>
class KeychainMetric:
"""KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed."""
def _CheckKeychainConfiguration():
"""On OSX, it is possible for a misconfigured keychain to cause the Telemetry tests to stall.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KeychainMetric:
"""KeychainMetric gathers keychain statistics from the browser object. This includes the number of times that the keychain was accessed."""
def _CheckKeychainConfiguration():
"""On OSX, it is possible for a misconfigured keychain to cause the Telemetry tests to stall. This method ... | the_stack_v2_python_sparse | tools/perf/metrics/keychain_metric.py | metux/chromium-suckless | train | 5 |
f5a0fd43b0d104e3a05d49c794231261362352e3 | [
"review: Review = self.get_object()\nif review.company.reviews.filter(is_top=True).count() >= 10:\n raise MaxFavoriteReview\nreview.is_top = True\nreview.save()\nserializer: ReviewSerializer = self.get_serializer(instance=review)\nreturn Response(data=serializer.data, status=status.HTTP_200_OK)",
"review: Revi... | <|body_start_0|>
review: Review = self.get_object()
if review.company.reviews.filter(is_top=True).count() >= 10:
raise MaxFavoriteReview
review.is_top = True
review.save()
serializer: ReviewSerializer = self.get_serializer(instance=review)
return Response(data... | Review favorite view. | ReviewTop | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReviewTop:
"""Review favorite view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as favorite. :param request: Request :return: Review instance"""
<|body_0|>
def delete(self, request: Request, *args: tuple, **kwargs: dic... | stack_v2_sparse_classes_36k_train_033320 | 5,590 | no_license | [
{
"docstring": "Set the review as favorite. :param request: Request :return: Review instance",
"name": "post",
"signature": "def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response"
},
{
"docstring": "Unset the review as favorite. :param request: Request :return: Review instan... | 2 | null | Implement the Python class `ReviewTop` described below.
Class description:
Review favorite view.
Method signatures and docstrings:
- def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response: Set the review as favorite. :param request: Request :return: Review instance
- def delete(self, request: Requ... | Implement the Python class `ReviewTop` described below.
Class description:
Review favorite view.
Method signatures and docstrings:
- def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response: Set the review as favorite. :param request: Request :return: Review instance
- def delete(self, request: Requ... | 713b9d84ac70d964d46f189ab1f9c7b944b9684b | <|skeleton|>
class ReviewTop:
"""Review favorite view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as favorite. :param request: Request :return: Review instance"""
<|body_0|>
def delete(self, request: Request, *args: tuple, **kwargs: dic... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReviewTop:
"""Review favorite view."""
def post(self, request: Request, *args: tuple, **kwargs: dict) -> Response:
"""Set the review as favorite. :param request: Request :return: Review instance"""
review: Review = self.get_object()
if review.company.reviews.filter(is_top=True).co... | the_stack_v2_python_sparse | jobadvisor/reviews/views/review.py | ewgen19892/jobadvisor | train | 0 |
13e5ed456a5487e73014f09daee43e92150b07d3 | [
"nums = []\np = head\nwhile p is not None:\n nums.append(p.val)\n p = p.next\nreturn self.sortedArrayToBST(nums)",
"if len(nums) == 0:\n return None\nmid_index = len(nums) >> 1\nnode = TreeNode(nums[mid_index])\nnode.left = self.sortedArrayToBST(nums[:mid_index])\nnode.right = self.sortedArrayToBST(nums[... | <|body_start_0|>
nums = []
p = head
while p is not None:
nums.append(p.val)
p = p.next
return self.sortedArrayToBST(nums)
<|end_body_0|>
<|body_start_1|>
if len(nums) == 0:
return None
mid_index = len(nums) >> 1
node = TreeNode... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
<|body_0|>
def sortedArrayToBST(self, nums):
""":type nums: List[int] :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nums = []
p = head
... | stack_v2_sparse_classes_36k_train_033321 | 864 | permissive | [
{
"docstring": ":type head: ListNode :rtype: TreeNode",
"name": "sortedListToBST",
"signature": "def sortedListToBST(self, head)"
},
{
"docstring": ":type nums: List[int] :rtype: TreeNode",
"name": "sortedArrayToBST",
"signature": "def sortedArrayToBST(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedListToBST(self, head): :type head: ListNode :rtype: TreeNode
- def sortedArrayToBST(self, nums): :type nums: List[int] :rtype: TreeNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedListToBST(self, head): :type head: ListNode :rtype: TreeNode
- def sortedArrayToBST(self, nums): :type nums: List[int] :rtype: TreeNode
<|skeleton|>
class Solution:
... | 3f05fff7758d650469862bc28df9e4aa7b1d3203 | <|skeleton|>
class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
<|body_0|>
def sortedArrayToBST(self, nums):
""":type nums: List[int] :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def sortedListToBST(self, head):
""":type head: ListNode :rtype: TreeNode"""
nums = []
p = head
while p is not None:
nums.append(p.val)
p = p.next
return self.sortedArrayToBST(nums)
def sortedArrayToBST(self, nums):
""":typ... | the_stack_v2_python_sparse | solutions/solution109.py | Satily/leetcode_python_solution | train | 3 | |
ab90881aa96dca170e0e8e8b851f933ec9d18576 | [
"if context is None:\n context = {}\nvalue = {}\nif not begin_production_date:\n return value\nif not end_production_date and (not production_duration):\n duration = 1.0\n value[production_duration] = duration\nstart = datetime.strptime(begin_production_date, '%Y-%m-%d %H:%M:%S')\nif end_production_date... | <|body_start_0|>
if context is None:
context = {}
value = {}
if not begin_production_date:
return value
if not end_production_date and (not production_duration):
duration = 1.0
value[production_duration] = duration
start = datetime.... | mrp_production | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class mrp_production:
def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None):
"""Returns duration and/or end date based on values passed"""
<|body_0|>
def _calculate_emps_cost(self, cr, uid, ids, name, args,... | stack_v2_sparse_classes_36k_train_033322 | 16,568 | no_license | [
{
"docstring": "Returns duration and/or end date based on values passed",
"name": "onchange_production_dates",
"signature": "def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None)"
},
{
"docstring": "Functional field metho... | 3 | null | Implement the Python class `mrp_production` described below.
Class description:
Implement the mrp_production class.
Method signatures and docstrings:
- def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None): Returns duration and/or end date bas... | Implement the Python class `mrp_production` described below.
Class description:
Implement the mrp_production class.
Method signatures and docstrings:
- def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None): Returns duration and/or end date bas... | 0b997095c260d58b026440967fea3a202bef7efb | <|skeleton|>
class mrp_production:
def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None):
"""Returns duration and/or end date based on values passed"""
<|body_0|>
def _calculate_emps_cost(self, cr, uid, ids, name, args,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class mrp_production:
def onchange_production_dates(self, cr, uid, ids, begin_production_date, end_production_date, production_duration, context=None):
"""Returns duration and/or end date based on values passed"""
if context is None:
context = {}
value = {}
if not begin_p... | the_stack_v2_python_sparse | v_7/GDS/shamil_v3/production_costs/mrp_production.py | musabahmed/baba | train | 0 | |
48b2e6ab04d420b27bf456ea452c39997d7260d2 | [
"super().__init__()\nif equivalence_library is None:\n from qiskit.circuit.library.standard_gates.equivalence_library import _sel\n equivalence_library = _sel\nif target is not None:\n supported_gates = target.operation_names\nelif supported_gates is None:\n raise ValueError('One of ``supported_gates`` ... | <|body_start_0|>
super().__init__()
if equivalence_library is None:
from qiskit.circuit.library.standard_gates.equivalence_library import _sel
equivalence_library = _sel
if target is not None:
supported_gates = target.operation_names
elif supported_gat... | Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recursively decomposed. The recursion is stopped once all parameterized gates are in ``supported_gat... | TranslateParameterizedGates | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TranslateParameterizedGates:
"""Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recursively decomposed. The recursion is stop... | stack_v2_sparse_classes_36k_train_033323 | 7,377 | permissive | [
{
"docstring": "Args: supported_gates: A list of suppported basis gates specified as string. If ``None``, a ``target`` must be provided. equivalence_library: The equivalence library to translate the gates. Defaults to the equivalence library of all Qiskit standard gates. target: A :class:`.Target` containing th... | 2 | null | Implement the Python class `TranslateParameterizedGates` described below.
Class description:
Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recurs... | Implement the Python class `TranslateParameterizedGates` described below.
Class description:
Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recurs... | 0b51250e219ca303654fc28a318c21366584ccd3 | <|skeleton|>
class TranslateParameterizedGates:
"""Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recursively decomposed. The recursion is stop... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TranslateParameterizedGates:
"""Translate parameterized gates to a supported basis set. Once a parameterized instruction is found that is not in the ``supported_gates`` list, the instruction is decomposed one level and the parameterized sub-blocks are recursively decomposed. The recursion is stopped once all ... | the_stack_v2_python_sparse | qiskit/transpiler/passes/basis/translate_parameterized.py | 1ucian0/qiskit-terra | train | 6 |
aef611da3744d541965cbd13495847386d6e053c | [
"generic_numbers = deepcopy(self.generic_numbers)\nmerged_num = False\nfor ns, segments in generic_numbers.items():\n for segment, positions in segments.items():\n for pos, dns in positions.items():\n if not dns:\n self.generic_numbers[ns][segment][pos] = ''\n elif len... | <|body_start_0|>
generic_numbers = deepcopy(self.generic_numbers)
merged_num = False
for ns, segments in generic_numbers.items():
for segment, positions in segments.items():
for pos, dns in positions.items():
if not dns:
sel... | A class representing a protein sequence alignment, with or without a reference sequence | Alignment | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Alignment:
"""A class representing a protein sequence alignment, with or without a reference sequence"""
def merge_generic_numbers(self):
"""Check whether there are many display numbers for each position, and merge them if there are"""
<|body_0|>
def format_generic_numbe... | stack_v2_sparse_classes_36k_train_033324 | 4,473 | permissive | [
{
"docstring": "Check whether there are many display numbers for each position, and merge them if there are",
"name": "merge_generic_numbers",
"signature": "def merge_generic_numbers(self)"
},
{
"docstring": "Format a generic number for display in alignment viewer",
"name": "format_generic_n... | 2 | null | Implement the Python class `Alignment` described below.
Class description:
A class representing a protein sequence alignment, with or without a reference sequence
Method signatures and docstrings:
- def merge_generic_numbers(self): Check whether there are many display numbers for each position, and merge them if ther... | Implement the Python class `Alignment` described below.
Class description:
A class representing a protein sequence alignment, with or without a reference sequence
Method signatures and docstrings:
- def merge_generic_numbers(self): Check whether there are many display numbers for each position, and merge them if ther... | 75993654db2b36e2a8f67fa38f9c9428ee4b4d90 | <|skeleton|>
class Alignment:
"""A class representing a protein sequence alignment, with or without a reference sequence"""
def merge_generic_numbers(self):
"""Check whether there are many display numbers for each position, and merge them if there are"""
<|body_0|>
def format_generic_numbe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Alignment:
"""A class representing a protein sequence alignment, with or without a reference sequence"""
def merge_generic_numbers(self):
"""Check whether there are many display numbers for each position, and merge them if there are"""
generic_numbers = deepcopy(self.generic_numbers)
... | the_stack_v2_python_sparse | common/alignment_gpcr.py | protwis/protwis | train | 31 |
62dc864dc36fc2972df3aa3bd2511b7647f79019 | [
"self.tr_list = []\nif not isinstance(list_of_op_obj_pairs, list):\n raise ValueError('Needs List of (operation, obj) pairs')\nfor pair in list_of_op_obj_pairs:\n if not isinstance(pair, tuple):\n raise ValueError('Needs List of (operation, obj) pairs')\n op = pair[0]\n op_map = {'create': self.c... | <|body_start_0|>
self.tr_list = []
if not isinstance(list_of_op_obj_pairs, list):
raise ValueError('Needs List of (operation, obj) pairs')
for pair in list_of_op_obj_pairs:
if not isinstance(pair, tuple):
raise ValueError('Needs List of (operation, obj) pa... | CPSTransaction | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CPSTransaction:
def __init__(self, list_of_op_obj_pairs=[]):
"""Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation("create","set","delete","rpc") and the object. Based on the type of operation it will add the object to trans... | stack_v2_sparse_classes_36k_train_033325 | 3,331 | permissive | [
{
"docstring": "Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation(\"create\",\"set\",\"delete\",\"rpc\") and the object. Based on the type of operation it will add the object to transaction list.",
"name": "__init__",
"signature": "def __i... | 6 | stack_v2_sparse_classes_30k_train_016950 | Implement the Python class `CPSTransaction` described below.
Class description:
Implement the CPSTransaction class.
Method signatures and docstrings:
- def __init__(self, list_of_op_obj_pairs=[]): Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation("creat... | Implement the Python class `CPSTransaction` described below.
Class description:
Implement the CPSTransaction class.
Method signatures and docstrings:
- def __init__(self, list_of_op_obj_pairs=[]): Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation("creat... | 3c4f0e1dfa1fa8df1dd85d99414820ce8c733a55 | <|skeleton|>
class CPSTransaction:
def __init__(self, list_of_op_obj_pairs=[]):
"""Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation("create","set","delete","rpc") and the object. Based on the type of operation it will add the object to trans... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CPSTransaction:
def __init__(self, list_of_op_obj_pairs=[]):
"""Constructor for a transaction object. @list_of_op_obj_pairs - list of tupples which contains the type of operation("create","set","delete","rpc") and the object. Based on the type of operation it will add the object to transaction list.""... | the_stack_v2_python_sparse | scripts/lib/cps_operations.py | HolyShitMan/sonic-object-library | train | 0 | |
f0cb0dcc3309ea1fc00afd7d0543b4e64691ef4d | [
"super().__init__(intrinsic_signal_provider_arch=intrinsic_signal_provider_arch, **kwargs)\nself._gradient_clipping = gradient_clipping\nself._gradient_norm_clipping = gradient_norm_clipping\nself._device = torch.device(device if torch.cuda.is_available() and device != 'cpu' else 'cpu')",
"if self._gradient_clipp... | <|body_start_0|>
super().__init__(intrinsic_signal_provider_arch=intrinsic_signal_provider_arch, **kwargs)
self._gradient_clipping = gradient_clipping
self._gradient_norm_clipping = gradient_norm_clipping
self._device = torch.device(device if torch.cuda.is_available() and device != 'cpu'... | TorchAgent | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TorchAgent:
def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), intrinsic_signal_provider_arch: IntrinsicSignalProvider=BraindeadIntrinsic... | stack_v2_sparse_classes_36k_train_033326 | 6,650 | permissive | [
{
"docstring": ":param device: :param gradient_clipping: :param grad_clip_low: :param grad_clip_high: :param kwargs:",
"name": "__init__",
"signature": "def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clip... | 2 | stack_v2_sparse_classes_30k_train_014918 | Implement the Python class `TorchAgent` described below.
Class description:
Implement the TorchAgent class.
Method signatures and docstrings:
- def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clipping: TogglableLowHigh=... | Implement the Python class `TorchAgent` described below.
Class description:
Implement the TorchAgent class.
Method signatures and docstrings:
- def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clipping: TogglableLowHigh=... | 21e3564696062b67151b013fd5e47df46cf44aa5 | <|skeleton|>
class TorchAgent:
def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), intrinsic_signal_provider_arch: IntrinsicSignalProvider=BraindeadIntrinsic... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TorchAgent:
def __init__(self, *, device: str=global_torch_device(True), gradient_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), gradient_norm_clipping: TogglableLowHigh=TogglableLowHigh(False, -1.0, 1.0), intrinsic_signal_provider_arch: IntrinsicSignalProvider=BraindeadIntrinsicSignalProvider... | the_stack_v2_python_sparse | neodroidagent/agents/torch_agents/torch_agent.py | sintefneodroid/agent | train | 9 | |
b687a082f7bdae588d2931076c735d695c8e0477 | [
"self.name = name\nself.failed = failed\nself.trimmed_messages = trimmed_messages\nself.messages = messages",
"all_messages = self.messages[:]\nstatus_message = '%s %s check %s' % ((FAILED_MESSAGE_PREFIX, self.name, 'failed') if self.failed else (SUCCESS_MESSAGE_PREFIX, self.name, 'passed'))\nall_messages.append(... | <|body_start_0|>
self.name = name
self.failed = failed
self.trimmed_messages = trimmed_messages
self.messages = messages
<|end_body_0|>
<|body_start_1|>
all_messages = self.messages[:]
status_message = '%s %s check %s' % ((FAILED_MESSAGE_PREFIX, self.name, 'failed') if s... | Task result for concurrent_task_utils. | TaskResult | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskResult:
"""Task result for concurrent_task_utils."""
def __init__(self, name: str, failed: bool, trimmed_messages: List[str], messages: List[str]) -> None:
"""Constructs a TaskResult object. Args: name: str. The name of the task. failed: bool. The boolean value representing wheth... | stack_v2_sparse_classes_36k_train_033327 | 7,841 | permissive | [
{
"docstring": "Constructs a TaskResult object. Args: name: str. The name of the task. failed: bool. The boolean value representing whether the task failed. trimmed_messages: list(str). List of error messages that are trimmed to keep main part of messages. messages: list(str). List of full messages returned by ... | 2 | stack_v2_sparse_classes_30k_train_004616 | Implement the Python class `TaskResult` described below.
Class description:
Task result for concurrent_task_utils.
Method signatures and docstrings:
- def __init__(self, name: str, failed: bool, trimmed_messages: List[str], messages: List[str]) -> None: Constructs a TaskResult object. Args: name: str. The name of the... | Implement the Python class `TaskResult` described below.
Class description:
Task result for concurrent_task_utils.
Method signatures and docstrings:
- def __init__(self, name: str, failed: bool, trimmed_messages: List[str], messages: List[str]) -> None: Constructs a TaskResult object. Args: name: str. The name of the... | d16fdf23d790eafd63812bd7239532256e30a21d | <|skeleton|>
class TaskResult:
"""Task result for concurrent_task_utils."""
def __init__(self, name: str, failed: bool, trimmed_messages: List[str], messages: List[str]) -> None:
"""Constructs a TaskResult object. Args: name: str. The name of the task. failed: bool. The boolean value representing wheth... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskResult:
"""Task result for concurrent_task_utils."""
def __init__(self, name: str, failed: bool, trimmed_messages: List[str], messages: List[str]) -> None:
"""Constructs a TaskResult object. Args: name: str. The name of the task. failed: bool. The boolean value representing whether the task f... | the_stack_v2_python_sparse | scripts/concurrent_task_utils.py | oppia/oppia | train | 6,172 |
3024ef2c5cf655e8cdec3c7599e7fc864aa608fb | [
"self.set = set()\nself.table = collections.defaultdict(int)\nself.total = 0",
"self.set.add(timestamp)\nself.table[timestamp] += 1\nself.total += 1\ntmp = min(self.set)\nwhile timestamp - tmp >= 300:\n self.total -= self.table[tmp]\n self.table[tmp] = 0\n self.set.remove(tmp)\n tmp = min(self.set)",
... | <|body_start_0|>
self.set = set()
self.table = collections.defaultdict(int)
self.total = 0
<|end_body_0|>
<|body_start_1|>
self.set.add(timestamp)
self.table[timestamp] += 1
self.total += 1
tmp = min(self.set)
while timestamp - tmp >= 300:
sel... | HitCounter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""
<|body_1|>
def getHits(self, timestamp: in... | stack_v2_sparse_classes_36k_train_033328 | 1,412 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Record a hit. @param timestamp - The current timestamp (in seconds granularity).",
"name": "hit",
"signature": "def hit(self, timestamp: int) -> None"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_016509 | Implement the Python class `HitCounter` described below.
Class description:
Implement the HitCounter class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def hit(self, timestamp: int) -> None: Record a hit. @param timestamp - The current timestamp (in seconds granulari... | Implement the Python class `HitCounter` described below.
Class description:
Implement the HitCounter class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def hit(self, timestamp: int) -> None: Record a hit. @param timestamp - The current timestamp (in seconds granulari... | 54d0b3c237e0ffed8782915d6b75b7c6a0fe0de7 | <|skeleton|>
class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granularity)."""
<|body_1|>
def getHits(self, timestamp: in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HitCounter:
def __init__(self):
"""Initialize your data structure here."""
self.set = set()
self.table = collections.defaultdict(int)
self.total = 0
def hit(self, timestamp: int) -> None:
"""Record a hit. @param timestamp - The current timestamp (in seconds granula... | the_stack_v2_python_sparse | 0362_Design_Hit_Counter/try_2.py | novayo/LeetCode | train | 8 | |
d435ec027339a4203f66d52808c84280c99b60be | [
"caption = 'Test caption'\nr = ReviewRequest.objects.filter(public=True, status='P', submitter=self.user)[0]\nr.screenshots = []\nr.save()\nself.selenium.open(r.get_absolute_url())\nself.selenium.click('upload-screenshot-link')\nself.selenium.type('id_caption', caption)\nself.selenium.focus('id_path')\nself.seleniu... | <|body_start_0|>
caption = 'Test caption'
r = ReviewRequest.objects.filter(public=True, status='P', submitter=self.user)[0]
r.screenshots = []
r.save()
self.selenium.open(r.get_absolute_url())
self.selenium.click('upload-screenshot-link')
self.selenium.type('id_ca... | Testing screenshot functionality. | ScreenshotTests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScreenshotTests:
"""Testing screenshot functionality."""
def test_upload_screenshot(self):
"""Testing uploading a screenshot"""
<|body_0|>
def test_modify_screenshot_caption(self):
"""Testing modifying a screenshot's caption on a review request"""
<|body_... | stack_v2_sparse_classes_36k_train_033329 | 42,469 | permissive | [
{
"docstring": "Testing uploading a screenshot",
"name": "test_upload_screenshot",
"signature": "def test_upload_screenshot(self)"
},
{
"docstring": "Testing modifying a screenshot's caption on a review request",
"name": "test_modify_screenshot_caption",
"signature": "def test_modify_scr... | 3 | stack_v2_sparse_classes_30k_train_011664 | Implement the Python class `ScreenshotTests` described below.
Class description:
Testing screenshot functionality.
Method signatures and docstrings:
- def test_upload_screenshot(self): Testing uploading a screenshot
- def test_modify_screenshot_caption(self): Testing modifying a screenshot's caption on a review reque... | Implement the Python class `ScreenshotTests` described below.
Class description:
Testing screenshot functionality.
Method signatures and docstrings:
- def test_upload_screenshot(self): Testing uploading a screenshot
- def test_modify_screenshot_caption(self): Testing modifying a screenshot's caption on a review reque... | 2095bcf4e36961ad12f8917a14f5670a4ec1408c | <|skeleton|>
class ScreenshotTests:
"""Testing screenshot functionality."""
def test_upload_screenshot(self):
"""Testing uploading a screenshot"""
<|body_0|>
def test_modify_screenshot_caption(self):
"""Testing modifying a screenshot's caption on a review request"""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ScreenshotTests:
"""Testing screenshot functionality."""
def test_upload_screenshot(self):
"""Testing uploading a screenshot"""
caption = 'Test caption'
r = ReviewRequest.objects.filter(public=True, status='P', submitter=self.user)[0]
r.screenshots = []
r.save()
... | the_stack_v2_python_sparse | webtests/tests.py | dorothyk/reviewboard | train | 1 |
7778a269b3ec39862b6e8813fa22c03c03665439 | [
"logger.debug('CreateNSView::get')\nret = GetNSInfoService().get_ns_info()\nlogger.debug('CreateNSView::get::ret=%s', ret)\nresp_serializer = _QueryNsRespSerializer(data=ret, many=True)\nif not resp_serializer.is_valid():\n raise NSLCMException(resp_serializer.errors)\nreturn Response(data=ret, status=status.HTT... | <|body_start_0|>
logger.debug('CreateNSView::get')
ret = GetNSInfoService().get_ns_info()
logger.debug('CreateNSView::get::ret=%s', ret)
resp_serializer = _QueryNsRespSerializer(data=ret, many=True)
if not resp_serializer.is_valid():
raise NSLCMException(resp_serializ... | CreateNSView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateNSView:
def get(self, request):
"""Query multiple NS instances :param request: :return:"""
<|body_0|>
def post(self, request):
"""Create a NS instance resource :param request: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
logger.deb... | stack_v2_sparse_classes_36k_train_033330 | 4,085 | permissive | [
{
"docstring": "Query multiple NS instances :param request: :return:",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Create a NS instance resource :param request: :return:",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | null | Implement the Python class `CreateNSView` described below.
Class description:
Implement the CreateNSView class.
Method signatures and docstrings:
- def get(self, request): Query multiple NS instances :param request: :return:
- def post(self, request): Create a NS instance resource :param request: :return: | Implement the Python class `CreateNSView` described below.
Class description:
Implement the CreateNSView class.
Method signatures and docstrings:
- def get(self, request): Query multiple NS instances :param request: :return:
- def post(self, request): Create a NS instance resource :param request: :return:
<|skeleton... | 129029584597941bb7603dd7440b7d37f823ef96 | <|skeleton|>
class CreateNSView:
def get(self, request):
"""Query multiple NS instances :param request: :return:"""
<|body_0|>
def post(self, request):
"""Create a NS instance resource :param request: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CreateNSView:
def get(self, request):
"""Query multiple NS instances :param request: :return:"""
logger.debug('CreateNSView::get')
ret = GetNSInfoService().get_ns_info()
logger.debug('CreateNSView::get::ret=%s', ret)
resp_serializer = _QueryNsRespSerializer(data=ret, ma... | the_stack_v2_python_sparse | lcm/ns/views/deprecated/create_ns_view.py | onap/vfc-nfvo-lcm | train | 5 | |
a2984eecb8dfee6b19b0387ce74318ca53f0fcdf | [
"self.density = density\nself.repetitions = repetitions\nself.iteration = 0\nself.num_points = num_points",
"ndims = roi.dims()\nvolume = np.prod(roi.get_shape())\nif self.iteration % self.repetitions == 0:\n if self.num_points is None:\n self.points = np.random.random((int(self.density * volume), ndims... | <|body_start_0|>
self.density = density
self.repetitions = repetitions
self.iteration = 0
self.num_points = num_points
<|end_body_0|>
<|body_start_1|>
ndims = roi.dims()
volume = np.prod(roi.get_shape())
if self.iteration % self.repetitions == 0:
if s... | RandomPointGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomPointGenerator:
def __init__(self, density=None, repetitions=1, num_points=None):
"""Create random points in a provided ROI with the given density. Args: density (float): The expected number of points per world unit cube. If, for example, the ROI passed to `get_random_points(roi)` ... | stack_v2_sparse_classes_36k_train_033331 | 4,306 | no_license | [
{
"docstring": "Create random points in a provided ROI with the given density. Args: density (float): The expected number of points per world unit cube. If, for example, the ROI passed to `get_random_points(roi)` has a 2D size of (10, 10) and the density is 1.0, 100 uniformly distributed points will be returned... | 2 | stack_v2_sparse_classes_30k_train_004800 | Implement the Python class `RandomPointGenerator` described below.
Class description:
Implement the RandomPointGenerator class.
Method signatures and docstrings:
- def __init__(self, density=None, repetitions=1, num_points=None): Create random points in a provided ROI with the given density. Args: density (float): Th... | Implement the Python class `RandomPointGenerator` described below.
Class description:
Implement the RandomPointGenerator class.
Method signatures and docstrings:
- def __init__(self, density=None, repetitions=1, num_points=None): Create random points in a provided ROI with the given density. Args: density (float): Th... | 188c9296e38e9be2161732ecd0f7da273d1492d2 | <|skeleton|>
class RandomPointGenerator:
def __init__(self, density=None, repetitions=1, num_points=None):
"""Create random points in a provided ROI with the given density. Args: density (float): The expected number of points per world unit cube. If, for example, the ROI passed to `get_random_points(roi)` ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomPointGenerator:
def __init__(self, density=None, repetitions=1, num_points=None):
"""Create random points in a provided ROI with the given density. Args: density (float): The expected number of points per world unit cube. If, for example, the ROI passed to `get_random_points(roi)` has a 2D size ... | the_stack_v2_python_sparse | lisl/gp/random_point_source.py | funkelab/lisl | train | 1 | |
b43aa27c654d6054ec637626dbb3bc02b27797f4 | [
"if not root:\n return []\nqueue = [root]\norder = []\nwhile queue:\n level = []\n n = len(queue)\n for _ in range(n):\n node = queue.pop(0)\n level.append(node.val)\n if node.left:\n queue.append(node.left)\n if node.right:\n queue.append(node.right)\n ... | <|body_start_0|>
if not root:
return []
queue = [root]
order = []
while queue:
level = []
n = len(queue)
for _ in range(n):
node = queue.pop(0)
level.append(node.val)
if node.left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
"""BFS 队列"""
<|body_0|>
def levelOrderRecursion(self, root: TreeNode) -> List[List[int]]:
"""DFS 递归"""
<|body_1|>
def levelOrderStack(self, root: TreeNode) -> List[List[int]]:
"""... | stack_v2_sparse_classes_36k_train_033332 | 2,718 | no_license | [
{
"docstring": "BFS 队列",
"name": "levelOrder",
"signature": "def levelOrder(self, root: TreeNode) -> List[List[int]]"
},
{
"docstring": "DFS 递归",
"name": "levelOrderRecursion",
"signature": "def levelOrderRecursion(self, root: TreeNode) -> List[List[int]]"
},
{
"docstring": "DFS ... | 3 | stack_v2_sparse_classes_30k_train_005735 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root: TreeNode) -> List[List[int]]: BFS 队列
- def levelOrderRecursion(self, root: TreeNode) -> List[List[int]]: DFS 递归
- def levelOrderStack(self, root: TreeN... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def levelOrder(self, root: TreeNode) -> List[List[int]]: BFS 队列
- def levelOrderRecursion(self, root: TreeNode) -> List[List[int]]: DFS 递归
- def levelOrderStack(self, root: TreeN... | 52756b30e9d51794591aca030bc918e707f473f1 | <|skeleton|>
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
"""BFS 队列"""
<|body_0|>
def levelOrderRecursion(self, root: TreeNode) -> List[List[int]]:
"""DFS 递归"""
<|body_1|>
def levelOrderStack(self, root: TreeNode) -> List[List[int]]:
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
"""BFS 队列"""
if not root:
return []
queue = [root]
order = []
while queue:
level = []
n = len(queue)
for _ in range(n):
node = queue.pop(0)... | the_stack_v2_python_sparse | 102.二叉树的层序遍历/solution.py | QtTao/daily_leetcode | train | 0 | |
182528531a7f5d4ac25622e507bd9a12062b9ccb | [
"if not nums:\n return 0\nn = len(nums)\ndp = [1] * n\nfor i in range(1, n):\n for j in range(i):\n if nums[i] > nums[j]:\n dp[i] = max(dp[i], dp[j] + 1)\nreturn max(dp)",
"if not nums:\n return 0\nd = []\nfor n in nums:\n if not d or n > d[-1]:\n d.append(n)\n else:\n ... | <|body_start_0|>
if not nums:
return 0
n = len(nums)
dp = [1] * n
for i in range(1, n):
for j in range(i):
if nums[i] > nums[j]:
dp[i] = max(dp[i], dp[j] + 1)
return max(dp)
<|end_body_0|>
<|body_start_1|>
if no... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def lengthOfLIS2(self, nums):
""":type nums: List[int] :rtype: int 贪心 + 二分"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not nums:
return 0
... | stack_v2_sparse_classes_36k_train_033333 | 1,692 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "lengthOfLIS",
"signature": "def lengthOfLIS(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int 贪心 + 二分",
"name": "lengthOfLIS2",
"signature": "def lengthOfLIS2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002482 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS(self, nums): :type nums: List[int] :rtype: int
- def lengthOfLIS2(self, nums): :type nums: List[int] :rtype: int 贪心 + 二分 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS(self, nums): :type nums: List[int] :rtype: int
- def lengthOfLIS2(self, nums): :type nums: List[int] :rtype: int 贪心 + 二分
<|skeleton|>
class Solution:
def le... | 5450beff0115e74bd7ecaa5edb076e942fe4f046 | <|skeleton|>
class Solution:
def lengthOfLIS(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def lengthOfLIS2(self, nums):
""":type nums: List[int] :rtype: int 贪心 + 二分"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lengthOfLIS(self, nums):
""":type nums: List[int] :rtype: int"""
if not nums:
return 0
n = len(nums)
dp = [1] * n
for i in range(1, n):
for j in range(i):
if nums[i] > nums[j]:
dp[i] = max(dp[i], ... | the_stack_v2_python_sparse | src/longest_increasing_subsequence_300.py | reflectc/leetcode_program | train | 2 | |
7b05857373af0795a2cddb278e3a79c607fafa69 | [
"bsz = ys.size(0)\nseqlen = ys.size(1)\ninputs = ys.narrow(1, 0, seqlen - 1)\nif (ys[:, 0] == self.START_IDX).any():\n raise AssertionError('The Beginning of Sentence token is automatically added to the label in decode_forced, but you included it in the label. This means your model will have a double BOS token, ... | <|body_start_0|>
bsz = ys.size(0)
seqlen = ys.size(1)
inputs = ys.narrow(1, 0, seqlen - 1)
if (ys[:, 0] == self.START_IDX).any():
raise AssertionError('The Beginning of Sentence token is automatically added to the label in decode_forced, but you included it in the label. This... | Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations | TransformerGeneratorReturnLatentModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerGeneratorReturnLatentModel:
"""Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations"""
def decode_forced(self, encoder_states: Tuple[Any], ys: torch.LongTensor) -> Tuple[torch.Tensor, torch.LongTensor, torc... | stack_v2_sparse_classes_36k_train_033334 | 37,138 | permissive | [
{
"docstring": "Override TGM.decode_forced to return latent states. Nearly copied verbatim, except for return type.",
"name": "decode_forced",
"signature": "def decode_forced(self, encoder_states: Tuple[Any], ys: torch.LongTensor) -> Tuple[torch.Tensor, torch.LongTensor, torch.Tensor, torch.BoolTensor]"... | 2 | stack_v2_sparse_classes_30k_val_000050 | Implement the Python class `TransformerGeneratorReturnLatentModel` described below.
Class description:
Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations
Method signatures and docstrings:
- def decode_forced(self, encoder_states: Tuple[Any],... | Implement the Python class `TransformerGeneratorReturnLatentModel` described below.
Class description:
Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations
Method signatures and docstrings:
- def decode_forced(self, encoder_states: Tuple[Any],... | e1d899edfb92471552bae153f59ad30aa7fca468 | <|skeleton|>
class TransformerGeneratorReturnLatentModel:
"""Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations"""
def decode_forced(self, encoder_states: Tuple[Any], ys: torch.LongTensor) -> Tuple[torch.Tensor, torch.LongTensor, torc... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TransformerGeneratorReturnLatentModel:
"""Returns the latent representations in the forward pass. We need the latent representations for the multi-objective computations"""
def decode_forced(self, encoder_states: Tuple[Any], ys: torch.LongTensor) -> Tuple[torch.Tensor, torch.LongTensor, torch.Tensor, tor... | the_stack_v2_python_sparse | projects/light_whoami/agents/multi_objective.py | facebookresearch/ParlAI | train | 10,943 |
002f67433459759d321996193c437db7ac0ea29b | [
"Parametre.__init__(self, 'membres', 'members')\nself.tronquer = True\nself.schema = '<cle>'\nself.aide_courte = \"affiche les membres d'une guilde\"\nself.aide_longue = \"Cette commande vous permet de consulter la liste des membres d'une guilde, de connaître leur rang et leur avancement en pourcentage. Seuls les j... | <|body_start_0|>
Parametre.__init__(self, 'membres', 'members')
self.tronquer = True
self.schema = '<cle>'
self.aide_courte = "affiche les membres d'une guilde"
self.aide_longue = "Cette commande vous permet de consulter la liste des membres d'une guilde, de connaître leur rang e... | Commande 'guilde membres'. | PrmMembres | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmMembres:
"""Commande 'guilde membres'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Parametre.... | stack_v2_sparse_classes_36k_train_033335 | 3,631 | permissive | [
{
"docstring": "Constructeur du paramètre",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Interprétation du paramètre",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | null | Implement the Python class `PrmMembres` described below.
Class description:
Commande 'guilde membres'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre | Implement the Python class `PrmMembres` described below.
Class description:
Commande 'guilde membres'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre
<|skeleton|>
class PrmMembres:
"""Commande 'guilde... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmMembres:
"""Commande 'guilde membres'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrmMembres:
"""Commande 'guilde membres'."""
def __init__(self):
"""Constructeur du paramètre"""
Parametre.__init__(self, 'membres', 'members')
self.tronquer = True
self.schema = '<cle>'
self.aide_courte = "affiche les membres d'une guilde"
self.aide_longue... | the_stack_v2_python_sparse | src/secondaires/crafting/commandes/guilde/membres.py | vincent-lg/tsunami | train | 5 |
d448ae38e9c60446f77edf25aae476cb7fbe29bd | [
"vim_connection = pecan.request.vim.open_connection()\nvim_connection.send(rpc_request.serialize())\nmsg = vim_connection.receive()\nif msg is None:\n DLOG.error('No response received for %s.' % rpc_request)\n return httplib.INTERNAL_SERVER_ERROR\nresponse = rpc.RPCMessage.deserialize(msg)\nif rpc.RPC_MSG_RES... | <|body_start_0|>
vim_connection = pecan.request.vim.open_connection()
vim_connection.send(rpc_request.serialize())
msg = vim_connection.receive()
if msg is None:
DLOG.error('No response received for %s.' % rpc_request)
return httplib.INTERNAL_SERVER_ERROR
... | Virtualised Resources - Computes Migrate API | ComputeMigrateAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComputeMigrateAPI:
"""Virtualised Resources - Computes Migrate API"""
def _do_migrate(rpc_request):
"""Return an image details"""
<|body_0|>
def post(self, compute_id, request_data):
"""Perform a migrate against a virtual compute resource"""
<|body_1|>
<... | stack_v2_sparse_classes_36k_train_033336 | 23,213 | permissive | [
{
"docstring": "Return an image details",
"name": "_do_migrate",
"signature": "def _do_migrate(rpc_request)"
},
{
"docstring": "Perform a migrate against a virtual compute resource",
"name": "post",
"signature": "def post(self, compute_id, request_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001556 | Implement the Python class `ComputeMigrateAPI` described below.
Class description:
Virtualised Resources - Computes Migrate API
Method signatures and docstrings:
- def _do_migrate(rpc_request): Return an image details
- def post(self, compute_id, request_data): Perform a migrate against a virtual compute resource | Implement the Python class `ComputeMigrateAPI` described below.
Class description:
Virtualised Resources - Computes Migrate API
Method signatures and docstrings:
- def _do_migrate(rpc_request): Return an image details
- def post(self, compute_id, request_data): Perform a migrate against a virtual compute resource
<|... | 6dba3df3e3c4e5f4ae20ae0c4a48ae72e6d6e274 | <|skeleton|>
class ComputeMigrateAPI:
"""Virtualised Resources - Computes Migrate API"""
def _do_migrate(rpc_request):
"""Return an image details"""
<|body_0|>
def post(self, compute_id, request_data):
"""Perform a migrate against a virtual compute resource"""
<|body_1|>
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ComputeMigrateAPI:
"""Virtualised Resources - Computes Migrate API"""
def _do_migrate(rpc_request):
"""Return an image details"""
vim_connection = pecan.request.vim.open_connection()
vim_connection.send(rpc_request.serialize())
msg = vim_connection.receive()
if msg... | the_stack_v2_python_sparse | nfv/nfv-vim/nfv_vim/api/controllers/v1/virtualised_resources/_computes_api.py | starlingx/nfv | train | 3 |
8399b7c5ef7535c5c2eea149b8b4b83eb3410465 | [
"self.y_var = y_var\nself.x_var = x_var\nself.df = df.reset_index(drop=True)\nself.method = method\nself.model = None\nself.k_fold = k_fold\nif param is None:\n max_k = max(int(len(self.df) / (self.k_fold * 2)), 1)\n param = {'n_neighbors': list(range(1, max_k, 2)), 'weights': ['uniform', 'distance'], 'metric... | <|body_start_0|>
self.y_var = y_var
self.x_var = x_var
self.df = df.reset_index(drop=True)
self.method = method
self.model = None
self.k_fold = k_fold
if param is None:
max_k = max(int(len(self.df) / (self.k_fold * 2)), 1)
param = {'n_neigh... | K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_var : str Dependant variable x_var : List[str] Independant variables m... | KNN | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KNN:
"""K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_var : str Dependant variable x_var : Li... | stack_v2_sparse_classes_36k_train_033337 | 6,681 | permissive | [
{
"docstring": "Initialize variables for module ``KNN``.",
"name": "__init__",
"signature": "def __init__(self, df: pd.DataFrame, y_var: str, x_var: List[str], method: str='regression', k_fold: int=5, param: Dict=None)"
},
{
"docstring": "Pre-process the data, one hot encoding and normalizing.",... | 5 | stack_v2_sparse_classes_30k_train_010076 | Implement the Python class `KNN` described below.
Class description:
K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_... | Implement the Python class `KNN` described below.
Class description:
K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_... | edc506cf5f0c13493fbfb1a28bb41f7b0bcf8618 | <|skeleton|>
class KNN:
"""K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_var : str Dependant variable x_var : Li... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KNN:
"""K-Nearest Neighbour (KNN) module. Objective: - Build `KNN <https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm>`_ model and determine optimal k Parameters ---------- df : pandas.DataFrame Pandas dataframe containing the `y_var` and `x_var` y_var : str Dependant variable x_var : List[str] Indep... | the_stack_v2_python_sparse | mllib/lib/knn.py | bdiptesh/CodeLib | train | 1 |
6420d70b7357a13f00e3f107df7832798e1d70a4 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | JoinOrderServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JoinOrderServicer:
"""Missing associated documentation comment in .proto file."""
def TestJoinNode(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetAction(self, request, context):
"""Missing associated docu... | stack_v2_sparse_classes_36k_train_033338 | 9,709 | no_license | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "TestJoinNode",
"signature": "def TestJoinNode(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "GetAction",
"signature": "def GetAction(self, ... | 3 | stack_v2_sparse_classes_30k_train_004726 | Implement the Python class `JoinOrderServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def TestJoinNode(self, request, context): Missing associated documentation comment in .proto file.
- def GetAction(self, request, context): Mi... | Implement the Python class `JoinOrderServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def TestJoinNode(self, request, context): Missing associated documentation comment in .proto file.
- def GetAction(self, request, context): Mi... | af490823a1b016867d8119a7e0bb5e0c3e2a60a9 | <|skeleton|>
class JoinOrderServicer:
"""Missing associated documentation comment in .proto file."""
def TestJoinNode(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetAction(self, request, context):
"""Missing associated docu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JoinOrderServicer:
"""Missing associated documentation comment in .proto file."""
def TestJoinNode(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')... | the_stack_v2_python_sparse | joinorder_rpc/server/join_order_pb2_grpc.py | ehds/learned-tidb | train | 0 |
fbfa9b9d67280b16f0fb2f9c791ed05f867d9a2e | [
"super().__init__(n_in=7, n_out=2)\nself._separate_cls = separate_cls\nself._n_heads = n_heads\nself._dropout = dropout\nself._mode = mode",
"location_bias, context_bias, pos_emb, q, k, v, mask = inputs\nd_feature = q.shape[-1]\nn_heads = self._n_heads\nif d_feature % n_heads != 0:\n raise ValueError(f'Dimensi... | <|body_start_0|>
super().__init__(n_in=7, n_out=2)
self._separate_cls = separate_cls
self._n_heads = n_heads
self._dropout = dropout
self._mode = mode
<|end_body_0|>
<|body_start_1|>
location_bias, context_bias, pos_emb, q, k, v, mask = inputs
d_feature = q.shape... | Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, and values into multiple 'heads', - splits positional embeddings into multiple 'heads'... | RelativeAttention | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelativeAttention:
"""Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, and values into multiple 'heads', - split... | stack_v2_sparse_classes_36k_train_033339 | 18,993 | permissive | [
{
"docstring": "Returns a new PureAttention instance. Args: separate_cls: True/False if we separate_cls in calculations. n_heads: Number of attention heads. dropout: Probabilistic rate for dropout applied to attention strengths (based on query-key pairs) before applying them to values. mode: One of `'train'`, `... | 2 | null | Implement the Python class `RelativeAttention` described below.
Class description:
Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, an... | Implement the Python class `RelativeAttention` described below.
Class description:
Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, an... | 1bb3b89427f669f2f0ec84633952e21b68964a23 | <|skeleton|>
class RelativeAttention:
"""Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, and values into multiple 'heads', - split... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RelativeAttention:
"""Relative attention layer. Layer that maps (location_bias, context_bias, pos_emb, q, k, v, mask) to (activations, mask). This layer type performs the inner workings of one pass of multi-head self-attention. It: - splits queries, keys, and values into multiple 'heads', - splits positional ... | the_stack_v2_python_sparse | trax/layers/research/rel_attention.py | google/trax | train | 8,180 |
d561dd6ad0557cda488cff9082d1654f11b012ae | [
"self._nhc = nhc\nself.hass = hass\nself.available = True\nself.data = {}\nself._system_info = None",
"_LOGGER.debug('Fetching async state in bulk')\ntry:\n self.data = await self.hass.async_add_executor_job(self._nhc.list_actions_raw)\n self.available = True\nexcept OSError as ex:\n _LOGGER.error('Unabl... | <|body_start_0|>
self._nhc = nhc
self.hass = hass
self.available = True
self.data = {}
self._system_info = None
<|end_body_0|>
<|body_start_1|>
_LOGGER.debug('Fetching async state in bulk')
try:
self.data = await self.hass.async_add_executor_job(self.... | The class for handling data retrieval. | NikoHomeControlData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NikoHomeControlData:
"""The class for handling data retrieval."""
def __init__(self, hass, nhc):
"""Set up Niko Home Control Data object."""
<|body_0|>
async def async_update(self):
"""Get the latest data from the NikoHomeControl API."""
<|body_1|>
d... | stack_v2_sparse_classes_36k_train_033340 | 4,084 | permissive | [
{
"docstring": "Set up Niko Home Control Data object.",
"name": "__init__",
"signature": "def __init__(self, hass, nhc)"
},
{
"docstring": "Get the latest data from the NikoHomeControl API.",
"name": "async_update",
"signature": "async def async_update(self)"
},
{
"docstring": "F... | 3 | stack_v2_sparse_classes_30k_train_013472 | Implement the Python class `NikoHomeControlData` described below.
Class description:
The class for handling data retrieval.
Method signatures and docstrings:
- def __init__(self, hass, nhc): Set up Niko Home Control Data object.
- async def async_update(self): Get the latest data from the NikoHomeControl API.
- def g... | Implement the Python class `NikoHomeControlData` described below.
Class description:
The class for handling data retrieval.
Method signatures and docstrings:
- def __init__(self, hass, nhc): Set up Niko Home Control Data object.
- async def async_update(self): Get the latest data from the NikoHomeControl API.
- def g... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class NikoHomeControlData:
"""The class for handling data retrieval."""
def __init__(self, hass, nhc):
"""Set up Niko Home Control Data object."""
<|body_0|>
async def async_update(self):
"""Get the latest data from the NikoHomeControl API."""
<|body_1|>
d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NikoHomeControlData:
"""The class for handling data retrieval."""
def __init__(self, hass, nhc):
"""Set up Niko Home Control Data object."""
self._nhc = nhc
self.hass = hass
self.available = True
self.data = {}
self._system_info = None
async def async_... | the_stack_v2_python_sparse | homeassistant/components/niko_home_control/light.py | home-assistant/core | train | 35,501 |
bba167eab6302db1318c271f291acd6d4cb5e417 | [
"res = []\nfor i in range(0, len(nums) - 1):\n for j in range(i + 1, len(nums)):\n if nums[i] + nums[j] == target:\n res.append(nums[i])\n res.append(nums[j])\nreturn res",
"lookup = {}\nfor i, num in enumerate(nums):\n if target - num in lookup:\n return [lookup[target -... | <|body_start_0|>
res = []
for i in range(0, len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
res.append(nums[i])
res.append(nums[j])
return res
<|end_body_0|>
<|body_start_1|>
lookup = {... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum_ugly(self, nums, target):
""":param nums: list[int] :param target: int :return: list[int]"""
<|body_0|>
def twoSum(self, nums, target):
""":param nums: :param target: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res ... | stack_v2_sparse_classes_36k_train_033341 | 755 | no_license | [
{
"docstring": ":param nums: list[int] :param target: int :return: list[int]",
"name": "twoSum_ugly",
"signature": "def twoSum_ugly(self, nums, target)"
},
{
"docstring": ":param nums: :param target: :return:",
"name": "twoSum",
"signature": "def twoSum(self, nums, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006810 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum_ugly(self, nums, target): :param nums: list[int] :param target: int :return: list[int]
- def twoSum(self, nums, target): :param nums: :param target: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum_ugly(self, nums, target): :param nums: list[int] :param target: int :return: list[int]
- def twoSum(self, nums, target): :param nums: :param target: :return:
<|skelet... | 84bd4a00160e6b2a723a57e149474c6bb38bcce2 | <|skeleton|>
class Solution:
def twoSum_ugly(self, nums, target):
""":param nums: list[int] :param target: int :return: list[int]"""
<|body_0|>
def twoSum(self, nums, target):
""":param nums: :param target: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def twoSum_ugly(self, nums, target):
""":param nums: list[int] :param target: int :return: list[int]"""
res = []
for i in range(0, len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
res.append(nums... | the_stack_v2_python_sparse | 1_num2sum.py | yanghongkai/yhkleetcode | train | 0 | |
a2fb375cf3b451de6164ead2874ac719ac4f2a54 | [
"self.list = []\n\ndef dfs(node):\n if not node:\n return\n self.list.append(node.val)\n dfs(node.left)\n dfs(node.right)\ndfs(root)\nreturn ','.join(map(str, self.list))",
"if not data:\n return None\nlist = [int(d) for d in data.split(',')]\n\ndef recurse(list, lower, upper):\n if not l... | <|body_start_0|>
self.list = []
def dfs(node):
if not node:
return
self.list.append(node.val)
dfs(node.left)
dfs(node.right)
dfs(root)
return ','.join(map(str, self.list))
<|end_body_0|>
<|body_start_1|>
if not dat... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.list = []... | stack_v2_sparse_classes_36k_train_033342 | 1,397 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 73a7b069746631717bd5739df5ded2d6866b0c8c | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
self.list = []
def dfs(node):
if not node:
return
self.list.append(node.val)
dfs(node.left)
dfs(node.right)
dfs(root)
... | the_stack_v2_python_sparse | Interview/Amazon/serializeDeserializeBST.py | Urvashi-91/Urvashi_Git_Repo | train | 0 | |
fe822199076e2f754b7545029325ed80aebe53fb | [
"user = get_jwt_identity()\ndata = request.get_json()\noid = ObjectId(user)\nauthorized: bool = Courses.objects.get(id=data['course'])['instructor']['id'] == oid\nauthorized = authorized or Users.objects.get(id=user).roles.admin\nif authorized:\n try:\n quiz = Quizzes(**data).save()\n except Validation... | <|body_start_0|>
user = get_jwt_identity()
data = request.get_json()
oid = ObjectId(user)
authorized: bool = Courses.objects.get(id=data['course'])['instructor']['id'] == oid
authorized = authorized or Users.objects.get(id=user).roles.admin
if authorized:
try:... | Flask-resftul resource for returning db.quiz collection. | QuizzesApi | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuizzesApi:
"""Flask-resftul resource for returning db.quiz collection."""
def post(self) -> Response:
"""POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor"""
<|body_0|>
def get(self) -> Response:
... | stack_v2_sparse_classes_36k_train_033343 | 6,369 | no_license | [
{
"docstring": "POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor",
"name": "post",
"signature": "def post(self) -> Response"
},
{
"docstring": "GET response method for all documents in quiz collection. JSON Web Token is requ... | 2 | stack_v2_sparse_classes_30k_train_013970 | Implement the Python class `QuizzesApi` described below.
Class description:
Flask-resftul resource for returning db.quiz collection.
Method signatures and docstrings:
- def post(self) -> Response: POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor
... | Implement the Python class `QuizzesApi` described below.
Class description:
Flask-resftul resource for returning db.quiz collection.
Method signatures and docstrings:
- def post(self) -> Response: POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor
... | 7f44c736c95866aaf820627ea54d3f00b3ada779 | <|skeleton|>
class QuizzesApi:
"""Flask-resftul resource for returning db.quiz collection."""
def post(self) -> Response:
"""POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor"""
<|body_0|>
def get(self) -> Response:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QuizzesApi:
"""Flask-resftul resource for returning db.quiz collection."""
def post(self) -> Response:
"""POST response method for creating a quiz. JSON Web Token is required. Authorization is required: role must be instructor"""
user = get_jwt_identity()
data = request.get_json()... | the_stack_v2_python_sparse | backend/uimpactify/controller/quiz.py | ObaidaSaleh/E-learning-app | train | 1 |
9aca58e1644e1047bf2b5e09f220a8db419cab95 | [
"super().__init__(system=system, exchange_dimensions={self._parameter_name: s_range}, exchange_criterium=exchange_criterium, steps_between_trials=steps_between_trials)\nif exchange_trajs:\n self.exchange_param = 'trajectory'\nelse:\n self.exchange_param = '_currentPosition'\nself._exchange_pattern = exchange_... | <|body_start_0|>
super().__init__(system=system, exchange_dimensions={self._parameter_name: s_range}, exchange_criterium=exchange_criterium, steps_between_trials=steps_between_trials)
if exchange_trajs:
self.exchange_param = 'trajectory'
else:
self.exchange_param = '_curr... | replicaExchangeEnvelopingDistributionSampling | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class replicaExchangeEnvelopingDistributionSampling:
def __init__(self, system: systemCls, s_range: Iterable=np.logspace(start=1, stop=-4, num=3), exchange_criterium=None, steps_between_trials=20, exchange_trajs: bool=False):
"""constructs a replic exchange enveloping distribution sampling (RE... | stack_v2_sparse_classes_36k_train_033344 | 5,333 | permissive | [
{
"docstring": "constructs a replic exchange enveloping distribution sampling (RE-EDS) ensemble. This approach was developed by Sidler, Schwaninger and Riniker 2016. It exchanges the smoothing parameter s during the simulations. Parameters ---------- system: systemCls system class that is the basis of the ensem... | 2 | stack_v2_sparse_classes_30k_train_013813 | Implement the Python class `replicaExchangeEnvelopingDistributionSampling` described below.
Class description:
Implement the replicaExchangeEnvelopingDistributionSampling class.
Method signatures and docstrings:
- def __init__(self, system: systemCls, s_range: Iterable=np.logspace(start=1, stop=-4, num=3), exchange_c... | Implement the Python class `replicaExchangeEnvelopingDistributionSampling` described below.
Class description:
Implement the replicaExchangeEnvelopingDistributionSampling class.
Method signatures and docstrings:
- def __init__(self, system: systemCls, s_range: Iterable=np.logspace(start=1, stop=-4, num=3), exchange_c... | f8f9eb9381498d6cba21182ebfb5ee6eca2a3310 | <|skeleton|>
class replicaExchangeEnvelopingDistributionSampling:
def __init__(self, system: systemCls, s_range: Iterable=np.logspace(start=1, stop=-4, num=3), exchange_criterium=None, steps_between_trials=20, exchange_trajs: bool=False):
"""constructs a replic exchange enveloping distribution sampling (RE... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class replicaExchangeEnvelopingDistributionSampling:
def __init__(self, system: systemCls, s_range: Iterable=np.logspace(start=1, stop=-4, num=3), exchange_criterium=None, steps_between_trials=20, exchange_trajs: bool=False):
"""constructs a replic exchange enveloping distribution sampling (RE-EDS) ensemble... | the_stack_v2_python_sparse | ensembler/ensemble/replica_exchange.py | Bio-Otto/Ensembler | train | 0 | |
b721db91b090e3eca710a4396d5e868d0a25c179 | [
"self._window_size = window_size\nself._batch_size = batch_size\nself._smoothing_perc = smoothing_perc\nself._n_predictions = n_predictions\nself._l_s = l_s\nself._error_buffer = error_buffer\nself._p = p\nself.window_size = self._window_size\nself.n_windows = int((channel.y_test.shape[0] - self._batch_size * self.... | <|body_start_0|>
self._window_size = window_size
self._batch_size = batch_size
self._smoothing_perc = smoothing_perc
self._n_predictions = n_predictions
self._l_s = l_s
self._error_buffer = error_buffer
self._p = p
self.window_size = self._window_size
... | Errors | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Errors:
def __init__(self, channel, window_size, batch_size, smoothing_perc, n_predictions, l_s, error_buffer, p):
"""Batch processing of errors between actual and predicted values for a channel. Args: channel (obj): Channel class object containing train/test data for X,y for a single ch... | stack_v2_sparse_classes_36k_train_033345 | 22,066 | permissive | [
{
"docstring": "Batch processing of errors between actual and predicted values for a channel. Args: channel (obj): Channel class object containing train/test data for X,y for a single channel config (obj): Config object containing parameters for processing run_id (str): Datetime referencing set of predictions i... | 4 | stack_v2_sparse_classes_30k_train_004290 | Implement the Python class `Errors` described below.
Class description:
Implement the Errors class.
Method signatures and docstrings:
- def __init__(self, channel, window_size, batch_size, smoothing_perc, n_predictions, l_s, error_buffer, p): Batch processing of errors between actual and predicted values for a channe... | Implement the Python class `Errors` described below.
Class description:
Implement the Errors class.
Method signatures and docstrings:
- def __init__(self, channel, window_size, batch_size, smoothing_perc, n_predictions, l_s, error_buffer, p): Batch processing of errors between actual and predicted values for a channe... | 314dd6efc6ed3f8d25e100b08de4115edc636e14 | <|skeleton|>
class Errors:
def __init__(self, channel, window_size, batch_size, smoothing_perc, n_predictions, l_s, error_buffer, p):
"""Batch processing of errors between actual and predicted values for a channel. Args: channel (obj): Channel class object containing train/test data for X,y for a single ch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Errors:
def __init__(self, channel, window_size, batch_size, smoothing_perc, n_predictions, l_s, error_buffer, p):
"""Batch processing of errors between actual and predicted values for a channel. Args: channel (obj): Channel class object containing train/test data for X,y for a single channel config (... | the_stack_v2_python_sparse | tods/detection_algorithm/core/utils/errors.py | datamllab/tods | train | 1,094 | |
a8c9f5438970f8a96db50e9077261a9652e32f19 | [
"C = self.COEFFS[imt]\nmean = self._get_magnitude_scaling_term(C, rup.mag) + self._get_distance_scaling_term(C, rup.mag, dists.rrup) + self._get_style_of_faulting_term(C, rup.rake) + self._get_site_scaling_term(C, sites.vs30)\nstddevs = self._get_stddevs(imt, rup.mag, len(dists.rrup), stddev_types)\nreturn (mean, s... | <|body_start_0|>
C = self.COEFFS[imt]
mean = self._get_magnitude_scaling_term(C, rup.mag) + self._get_distance_scaling_term(C, rup.mag, dists.rrup) + self._get_style_of_faulting_term(C, rup.rake) + self._get_site_scaling_term(C, sites.vs30)
stddevs = self._get_stddevs(imt, rup.mag, len(dists.rru... | Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Idriss (2014) defines the GMPE only for the case in which Vs30 >= 450 m/s. In t... | Idriss2014 | [
"AGPL-3.0-only",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Idriss2014:
"""Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Idriss (2014) defines the GMPE only for t... | stack_v2_sparse_classes_36k_train_033346 | 8,985 | permissive | [
{
"docstring": "See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values.",
"name": "get_mean_and_stddevs",
"signature": "def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types)"
},
{
"docstring": "Returns the magnitu... | 6 | stack_v2_sparse_classes_30k_train_000480 | Implement the Python class `Idriss2014` described below.
Class description:
Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Id... | Implement the Python class `Idriss2014` described below.
Class description:
Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Id... | 0da9ba5a575360081715e8b90c71d4b16c6687c8 | <|skeleton|>
class Idriss2014:
"""Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Idriss (2014) defines the GMPE only for t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Idriss2014:
"""Implements GMPE developed by Idriss 2014 and published as "An NGA-West2 Empirical Model for Estimating the Horizontal Spectral Values Generated by Shallow Crustal Earthquakes. (2014, Earthquake Spectra, Volume 30, No. 3, pages 1155 - 1177). Idriss (2014) defines the GMPE only for the case in wh... | the_stack_v2_python_sparse | openquake/hazardlib/gsim/idriss_2014.py | GFZ-Centre-for-Early-Warning/shakyground | train | 1 |
a86b02581f06d22d5907fefdb2ff7bb64f911b59 | [
"self.x = np.array(x)\nself.xmin = self.x.min()\nself.xmax = self.x.max()\nself.y = np.array(y)\nself.ymin = self.y.min()\nself.ymax = self.y.max()\npol, cov = np.polyfit(self.x, self.y, deg, cov=True)\nPolynomial.__init__(self, pol, cov)",
"if restrict:\n x = np.array(x)\n for i in range(len(x)):\n ... | <|body_start_0|>
self.x = np.array(x)
self.xmin = self.x.min()
self.xmax = self.x.max()
self.y = np.array(y)
self.ymin = self.y.min()
self.ymax = self.y.max()
pol, cov = np.polyfit(self.x, self.y, deg, cov=True)
Polynomial.__init__(self, pol, cov)
<|end_bo... | Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit) | PolyFit | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PolyFit:
"""Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit)"""
def __init__(self, x, y, deg=1):
"""Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,) float array-like y-coordinates of sample points. deg : i... | stack_v2_sparse_classes_36k_train_033347 | 35,535 | permissive | [
{
"docstring": "Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,) float array-like y-coordinates of sample points. deg : int Degree of the fitting polynomial. (default: 1)",
"name": "__init__",
"signature": "def __init__(self, x, y, deg=1)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_010970 | Implement the Python class `PolyFit` described below.
Class description:
Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit)
Method signatures and docstrings:
- def __init__(self, x, y, deg=1): Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,)... | Implement the Python class `PolyFit` described below.
Class description:
Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit)
Method signatures and docstrings:
- def __init__(self, x, y, deg=1): Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,)... | 99107a0d4935296b673f67469c1e2bd258954b9b | <|skeleton|>
class PolyFit:
"""Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit)"""
def __init__(self, x, y, deg=1):
"""Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,) float array-like y-coordinates of sample points. deg : i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PolyFit:
"""Perform least squares polynomial fit and evaluate fit. (see numpy.polyfit)"""
def __init__(self, x, y, deg=1):
"""Perform fit. Parameters ---------- x : (*,) float array-like x-coordinates of sample points. y : (*,) float array-like y-coordinates of sample points. deg : int Degree of ... | the_stack_v2_python_sparse | maths.py | yketa/active_work | train | 1 |
3eb543f19fef7fe35fd0503d05c76772610b332f | [
"request_json = {'mode': 'test'}\nr = requests.post('http://localhost:{}/train'.format(port), json=request_json)\ntrain_complete = re.sub('\\\\W+', '', r.text)\nself.assertEqual(train_complete, 'true')",
"r = requests.post('http://localhost:{}/predict'.format(port))\nself.assertEqual(re.sub('\\n|\"', '', r.text),... | <|body_start_0|>
request_json = {'mode': 'test'}
r = requests.post('http://localhost:{}/train'.format(port), json=request_json)
train_complete = re.sub('\\W+', '', r.text)
self.assertEqual(train_complete, 'true')
<|end_body_0|>
<|body_start_1|>
r = requests.post('http://localhos... | test the essential functionality | ApiTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ApiTest:
"""test the essential functionality"""
def test_01_train(self):
"""test the train functionality"""
<|body_0|>
def test_02_predict_empty(self):
"""ensure appropriate failure types"""
<|body_1|>
def test_03_predict(self):
"""test the p... | stack_v2_sparse_classes_36k_train_033348 | 3,077 | no_license | [
{
"docstring": "test the train functionality",
"name": "test_01_train",
"signature": "def test_01_train(self)"
},
{
"docstring": "ensure appropriate failure types",
"name": "test_02_predict_empty",
"signature": "def test_02_predict_empty(self)"
},
{
"docstring": "test the predict... | 4 | stack_v2_sparse_classes_30k_train_006288 | Implement the Python class `ApiTest` described below.
Class description:
test the essential functionality
Method signatures and docstrings:
- def test_01_train(self): test the train functionality
- def test_02_predict_empty(self): ensure appropriate failure types
- def test_03_predict(self): test the predict function... | Implement the Python class `ApiTest` described below.
Class description:
test the essential functionality
Method signatures and docstrings:
- def test_01_train(self): test the train functionality
- def test_02_predict_empty(self): ensure appropriate failure types
- def test_03_predict(self): test the predict function... | 0b68917effa6128862d997c61dcae1d0df8ff109 | <|skeleton|>
class ApiTest:
"""test the essential functionality"""
def test_01_train(self):
"""test the train functionality"""
<|body_0|>
def test_02_predict_empty(self):
"""ensure appropriate failure types"""
<|body_1|>
def test_03_predict(self):
"""test the p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ApiTest:
"""test the essential functionality"""
def test_01_train(self):
"""test the train functionality"""
request_json = {'mode': 'test'}
r = requests.post('http://localhost:{}/train'.format(port), json=request_json)
train_complete = re.sub('\\W+', '', r.text)
se... | the_stack_v2_python_sparse | unittests/api_tests.py | ryusat/capstonepeerreveiw | train | 0 |
6ed48615e9255011ec0f1db018864ebb26fc3012 | [
"query_params = request.query_params.copy()\nordering_query_params = query_params.getlist(self.ordering_param, [])\n__ordering_params = []\nfor query_param in ordering_query_params:\n __key = query_param.lstrip('-')\n __direction = '-' if query_param.startswith('-') else ''\n if __key in view.ordering_fiel... | <|body_start_0|>
query_params = request.query_params.copy()
ordering_query_params = query_params.getlist(self.ordering_param, [])
__ordering_params = []
for query_param in ordering_query_params:
__key = query_param.lstrip('-')
__direction = '-' if query_param.star... | Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Local article document definition >>> from .documents import ArticleDocument >>> >>> # Local... | OrderingFilterBackend | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrderingFilterBackend:
"""Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Local article document definition >>> from ... | stack_v2_sparse_classes_36k_train_033349 | 8,440 | no_license | [
{
"docstring": "Get ordering query params. :param request: Django REST framework request. :param view: View. :type request: rest_framework.request.Request :type view: rest_framework.viewsets.ReadOnlyModelViewSet :return: Ordering params to be used for ordering. :rtype: list",
"name": "get_ordering_query_par... | 2 | stack_v2_sparse_classes_30k_train_005396 | Implement the Python class `OrderingFilterBackend` described below.
Class description:
Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Loca... | Implement the Python class `OrderingFilterBackend` described below.
Class description:
Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Loca... | 51d04b4fd0c201b543fde9c3c94d2dab6e7eee50 | <|skeleton|>
class OrderingFilterBackend:
"""Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Local article document definition >>> from ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrderingFilterBackend:
"""Ordering filter backend for Elasticsearch. Example: >>> from django_elasticsearch_dsl_drf.filter_backends import ( >>> OrderingFilterBackend >>> ) >>> from django_elasticsearch_dsl_drf.views import BaseDocumentViewSet >>> >>> # Local article document definition >>> from .documents im... | the_stack_v2_python_sparse | book_es/src/django_elasticsearch_dsl_drf/filter_backends/ordering/common.py | kabrice/book-django | train | 1 |
2768a94678051e1936abaac060d27f333c602d37 | [
"k %= len(nums)\nself.reverse(nums, 0, len(nums) - 1)\nself.reverse(nums, 0, k - 1)\nself.reverse(nums, k, len(nums) - 1)",
"while start < end:\n nums[start], nums[end] = (nums[end], nums[start])\n start += 1\n end -= 1"
] | <|body_start_0|>
k %= len(nums)
self.reverse(nums, 0, len(nums) - 1)
self.reverse(nums, 0, k - 1)
self.reverse(nums, k, len(nums) - 1)
<|end_body_0|>
<|body_start_1|>
while start < end:
nums[start], nums[end] = (nums[end], nums[start])
start += 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotate(self, nums, k):
"""Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int"""
<|body_0|>
def reverse(self, nums, start, end):
"""Args: nums: list[int] start: int end: int"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_033350 | 1,342 | no_license | [
{
"docstring": "Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int",
"name": "rotate",
"signature": "def rotate(self, nums, k)"
},
{
"docstring": "Args: nums: list[int] start: int end: int",
"name": "reverse",
"signature": "def reverse(self, nums, start, e... | 2 | stack_v2_sparse_classes_30k_train_020992 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int
- def reverse(self, nums, start, end): Args: nums: list[int] start: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotate(self, nums, k): Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int
- def reverse(self, nums, start, end): Args: nums: list[int] start: ... | 101bce2fac8b188a4eb2f5e017293d21ad0ecb21 | <|skeleton|>
class Solution:
def rotate(self, nums, k):
"""Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int"""
<|body_0|>
def reverse(self, nums, start, end):
"""Args: nums: list[int] start: int end: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rotate(self, nums, k):
"""Do not return anything, modify nums in-place instead. Args: nums: list[int] k: int"""
k %= len(nums)
self.reverse(nums, 0, len(nums) - 1)
self.reverse(nums, 0, k - 1)
self.reverse(nums, k, len(nums) - 1)
def reverse(self, num... | the_stack_v2_python_sparse | code/189. 旋转数组.py | AiZhanghan/Leetcode | train | 0 | |
d870bc14e27f410951e7876aeb88f69f19ec363f | [
"params = base.get_params(None, locals())\nrequest = http.Request('GET', self.get_url(), params)\nreturn (request, parsers.parse_json)",
"self.require_collection()\nrequest = http.Request('POST', self.get_url(), self.wrap_object(obj))\nreturn (request, parsers.parse_json)",
"self.require_item()\nrequest = http.... | <|body_start_0|>
params = base.get_params(None, locals())
request = http.Request('GET', self.get_url(), params)
return (request, parsers.parse_json)
<|end_body_0|>
<|body_start_1|>
self.require_collection()
request = http.Request('POST', self.get_url(), self.wrap_object(obj))
... | UserVoiceResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserVoiceResource:
def get(self, page=None, per_page=None, sort=None):
"""For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: For collections, where should paging start. If left as `None`, the first page is returned. :vartype page: ... | stack_v2_sparse_classes_36k_train_033351 | 2,920 | permissive | [
{
"docstring": "For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: For collections, where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_page: For collections, how many objects sould be returned. If left as... | 3 | stack_v2_sparse_classes_30k_train_012616 | Implement the Python class `UserVoiceResource` described below.
Class description:
Implement the UserVoiceResource class.
Method signatures and docstrings:
- def get(self, page=None, per_page=None, sort=None): For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: ... | Implement the Python class `UserVoiceResource` described below.
Class description:
Implement the UserVoiceResource class.
Method signatures and docstrings:
- def get(self, page=None, per_page=None, sort=None): For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: ... | 25caa745a104c8dc209584fa359294c65dbf88bb | <|skeleton|>
class UserVoiceResource:
def get(self, page=None, per_page=None, sort=None):
"""For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: For collections, where should paging start. If left as `None`, the first page is returned. :vartype page: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserVoiceResource:
def get(self, page=None, per_page=None, sort=None):
"""For single-object resources, fetch the object's data. For collections, fetch all of the objects. :var page: For collections, where should paging start. If left as `None`, the first page is returned. :vartype page: int :var per_p... | the_stack_v2_python_sparse | libsaas/services/uservoice/resource.py | piplcom/libsaas | train | 1 | |
fb42951a51294cfff88ca441eb07fc9529dc8ddd | [
"super(RpcPikaIncomingMessage, self).__init__(pika_engine, channel, method, properties, body)\nself.reply_q = properties.reply_to\nself.msg_id = properties.correlation_id",
"if self.reply_q is None:\n return\nreply_outgoing_message = RpcReplyPikaOutgoingMessage(self._pika_engine, self.msg_id, reply=reply, fail... | <|body_start_0|>
super(RpcPikaIncomingMessage, self).__init__(pika_engine, channel, method, properties, body)
self.reply_q = properties.reply_to
self.msg_id = properties.correlation_id
<|end_body_0|>
<|body_start_1|>
if self.reply_q is None:
return
reply_outgoing_mes... | PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client | RpcPikaIncomingMessage | [
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RpcPikaIncomingMessage:
"""PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client"""
def __init__(self, pika_engine, channel, method, p... | stack_v2_sparse_classes_36k_train_033352 | 24,684 | permissive | [
{
"docstring": "Defines default values of msg_id and reply_q fields and just call super.__init__ method :param pika_engine: PikaEngine, shared object with configuration and shared driver functionality :param channel: Channel, RabbitMQ channel which was used for this message delivery, used for sending ack back. ... | 2 | stack_v2_sparse_classes_30k_train_019427 | Implement the Python class `RpcPikaIncomingMessage` described below.
Class description:
PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client
Method signatures ... | Implement the Python class `RpcPikaIncomingMessage` described below.
Class description:
PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client
Method signatures ... | c01951b33e278de9e769c2d0609c0be61d2cb26b | <|skeleton|>
class RpcPikaIncomingMessage:
"""PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client"""
def __init__(self, pika_engine, channel, method, p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RpcPikaIncomingMessage:
"""PikaIncomingMessage implementation for RPC messages. It expects extra RPC related fields in message body (msg_id and reply_q). Also 'reply' method added to allow consumer to send RPC reply back to the RPC client"""
def __init__(self, pika_engine, channel, method, properties, bo... | the_stack_v2_python_sparse | filesystems/vnx_rootfs_lxc_ubuntu64-16.04-v025-openstack-compute/rootfs/usr/lib/python2.7/dist-packages/oslo_messaging/_drivers/pika_driver/pika_message.py | juancarlosdiaztorres/Ansible-OpenStack | train | 0 |
4b4e7277606bf97672736ffe0a2e2cdb68e1f5fc | [
"self.strike = kwargs['strike']\nself.rate = kwargs['rate']\nself.dividend = kwargs['dividend']\nself.maturity = kwargs['maturity']\nself.volatility = kwargs['volatility']\nself.cp = kwargs['cp']\nself.date_type = kwargs['date_type']\nself.nominal_num = kwargs['nominal_num']\nself.factor_name = '{}:{}'.format(self.... | <|body_start_0|>
self.strike = kwargs['strike']
self.rate = kwargs['rate']
self.dividend = kwargs['dividend']
self.maturity = kwargs['maturity']
self.volatility = kwargs['volatility']
self.cp = kwargs['cp']
self.date_type = kwargs['date_type']
self.nominal... | 示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权 | AbuFactorBuyPutEuroOptionHedge | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AbuFactorBuyPutEuroOptionHedge:
"""示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权"""
def _init_self(self, **kwargs):
"""kwargs中必须包含: 期权各参数"""
<|body_0|>
def fit_day(self, today, holding_cnt):
"""针对每一个交易日拟合买入交易策略，寻找向上突破买入机会 :param today: 当前驱动的交易日金融时间序列数据 :param... | stack_v2_sparse_classes_36k_train_033353 | 3,898 | no_license | [
{
"docstring": "kwargs中必须包含: 期权各参数",
"name": "_init_self",
"signature": "def _init_self(self, **kwargs)"
},
{
"docstring": "针对每一个交易日拟合买入交易策略，寻找向上突破买入机会 :param today: 当前驱动的交易日金融时间序列数据 :param holding_cnt: 交易发生之前的持仓量 :return:",
"name": "fit_day",
"signature": "def fit_day(self, today, holdi... | 2 | stack_v2_sparse_classes_30k_train_002873 | Implement the Python class `AbuFactorBuyPutEuroOptionHedge` described below.
Class description:
示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权
Method signatures and docstrings:
- def _init_self(self, **kwargs): kwargs中必须包含: 期权各参数
- def fit_day(self, today, holding_cnt): 针对每一个交易日拟合买入交易策略，寻找向上突破买入机会 :param today: 当前... | Implement the Python class `AbuFactorBuyPutEuroOptionHedge` described below.
Class description:
示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权
Method signatures and docstrings:
- def _init_self(self, **kwargs): kwargs中必须包含: 期权各参数
- def fit_day(self, today, holding_cnt): 针对每一个交易日拟合买入交易策略，寻找向上突破买入机会 :param today: 当前... | 6f9dabecb17b65a02a370134e178722c169b2cd2 | <|skeleton|>
class AbuFactorBuyPutEuroOptionHedge:
"""示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权"""
def _init_self(self, **kwargs):
"""kwargs中必须包含: 期权各参数"""
<|body_0|>
def fit_day(self, today, holding_cnt):
"""针对每一个交易日拟合买入交易策略，寻找向上突破买入机会 :param today: 当前驱动的交易日金融时间序列数据 :param... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AbuFactorBuyPutEuroOptionHedge:
"""示例反向对冲买入择时类，混入BuyPutMixin，即向下突破触发买入event, 适用于看跌期权"""
def _init_self(self, **kwargs):
"""kwargs中必须包含: 期权各参数"""
self.strike = kwargs['strike']
self.rate = kwargs['rate']
self.dividend = kwargs['dividend']
self.maturity = kwargs['mat... | the_stack_v2_python_sparse | abupy/FactorBuyBu/ABuFactorBuyEuroOptionHedge.py | Leo70kg/Backtesting | train | 1 |
b3b1be996a4a22cb182e212e5c0bb1df8d70eab2 | [
"service = self._client.create(name=service_name, type=service_type, enabled=enabled, description=description)\nif check:\n self.check_service_presence(service)\n assert_that(service.name, equal_to(service_name))\n assert_that(service.type, equal_to(service_type))\n assert_that(service.enabled, equal_to... | <|body_start_0|>
service = self._client.create(name=service_name, type=service_type, enabled=enabled, description=description)
if check:
self.check_service_presence(service)
assert_that(service.name, equal_to(service_name))
assert_that(service.type, equal_to(service_t... | Services steps. | ServiceSteps | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceSteps:
"""Services steps."""
def create_service(self, service_name, service_type=None, enabled=True, description=None, check=True):
"""Step to create service. Args: service_name (str): service name service_type (str): service type enabled (bool): whether the service appears in... | stack_v2_sparse_classes_36k_train_033354 | 4,538 | no_license | [
{
"docstring": "Step to create service. Args: service_name (str): service name service_type (str): service type enabled (bool): whether the service appears in the catalog description (str): the description of the service check (bool): flag whether to check step or not Raises: AssertionError: if check failed Ret... | 5 | null | Implement the Python class `ServiceSteps` described below.
Class description:
Services steps.
Method signatures and docstrings:
- def create_service(self, service_name, service_type=None, enabled=True, description=None, check=True): Step to create service. Args: service_name (str): service name service_type (str): se... | Implement the Python class `ServiceSteps` described below.
Class description:
Services steps.
Method signatures and docstrings:
- def create_service(self, service_name, service_type=None, enabled=True, description=None, check=True): Step to create service. Args: service_name (str): service name service_type (str): se... | e7583444cd24893ec6ae237b47db7c605b99b0c5 | <|skeleton|>
class ServiceSteps:
"""Services steps."""
def create_service(self, service_name, service_type=None, enabled=True, description=None, check=True):
"""Step to create service. Args: service_name (str): service name service_type (str): service type enabled (bool): whether the service appears in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ServiceSteps:
"""Services steps."""
def create_service(self, service_name, service_type=None, enabled=True, description=None, check=True):
"""Step to create service. Args: service_name (str): service name service_type (str): service type enabled (bool): whether the service appears in the catalog ... | the_stack_v2_python_sparse | stepler/keystone/steps/services.py | Mirantis/stepler | train | 16 |
3bc784104e0805686c38d92603a4cf0b04d585a5 | [
"@lru_cache(None)\ndef dfs(cur: str) -> int:\n if not cur:\n return 0\n res = INF\n for select in counters:\n if cur[0] not in select:\n continue\n next = replace(select, cur)\n res = min(res, dfs(next) + 1)\n return res\n\ndef replace(counter: Counter, word: str) ... | <|body_start_0|>
@lru_cache(None)
def dfs(cur: str) -> int:
if not cur:
return 0
res = INF
for select in counters:
if cur[0] not in select:
continue
next = replace(select, cur)
res = m... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minStickers(self, stickers: List[str], target: str) -> int:
"""记忆化dfs，不用状压，状压的写法反而更慢"""
<|body_0|>
def minStickers2(self, stickers: List[str], target: str) -> int:
"""bfs求无权图最短路"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
@lru_cach... | stack_v2_sparse_classes_36k_train_033355 | 2,678 | no_license | [
{
"docstring": "记忆化dfs，不用状压，状压的写法反而更慢",
"name": "minStickers",
"signature": "def minStickers(self, stickers: List[str], target: str) -> int"
},
{
"docstring": "bfs求无权图最短路",
"name": "minStickers2",
"signature": "def minStickers2(self, stickers: List[str], target: str) -> int"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minStickers(self, stickers: List[str], target: str) -> int: 记忆化dfs，不用状压，状压的写法反而更慢
- def minStickers2(self, stickers: List[str], target: str) -> int: bfs求无权图最短路 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minStickers(self, stickers: List[str], target: str) -> int: 记忆化dfs，不用状压，状压的写法反而更慢
- def minStickers2(self, stickers: List[str], target: str) -> int: bfs求无权图最短路
<|skeleton|>
... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def minStickers(self, stickers: List[str], target: str) -> int:
"""记忆化dfs，不用状压，状压的写法反而更慢"""
<|body_0|>
def minStickers2(self, stickers: List[str], target: str) -> int:
"""bfs求无权图最短路"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minStickers(self, stickers: List[str], target: str) -> int:
"""记忆化dfs，不用状压，状压的写法反而更慢"""
@lru_cache(None)
def dfs(cur: str) -> int:
if not cur:
return 0
res = INF
for select in counters:
if cur[0] not in s... | the_stack_v2_python_sparse | 13_回溯算法/剪枝优化/691. 贴纸拼词-搜索剪枝.py | 981377660LMT/algorithm-study | train | 225 | |
d54452894bbb8b7bd306f630a213cf58d69c3220 | [
"sleep(2)\ntype_string = os.path.join(os.getcwd(), TESTDATA[section1][u'data_folder'], TESTDATA[section2][u'ca_cert_file_name'])\nprint(type_string)\nself.common_lib.type_file_name_pyautogui(type_string)\nprint('done upload')\nsleep(2)",
"self.cs_cert_services.click_button_id_ca_add()\nself.cs_cert_services_inser... | <|body_start_0|>
sleep(2)
type_string = os.path.join(os.getcwd(), TESTDATA[section1][u'data_folder'], TESTDATA[section2][u'ca_cert_file_name'])
print(type_string)
self.common_lib.type_file_name_pyautogui(type_string)
print('done upload')
sleep(2)
<|end_body_0|>
<|body_st... | Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated | Component_cs_cert_services | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Component_cs_cert_services:
"""Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated"""
def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url'):
"""Uploda ca certificate :param section1: Test data section name :... | stack_v2_sparse_classes_36k_train_033356 | 3,521 | permissive | [
{
"docstring": "Uploda ca certificate :param section1: Test data section name :param section2: Test data section name",
"name": "upload_ca_certificate",
"signature": "def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url')"
},
{
"docstring": "Add certification service and upload c... | 3 | null | Implement the Python class `Component_cs_cert_services` described below.
Class description:
Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated
Method signatures and docstrings:
- def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url'): Uploda... | Implement the Python class `Component_cs_cert_services` described below.
Class description:
Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated
Method signatures and docstrings:
- def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url'): Uploda... | e030661a0ad8ceab74dd8122b751e88025a3474a | <|skeleton|>
class Component_cs_cert_services:
"""Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated"""
def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url'):
"""Uploda ca certificate :param section1: Test data section name :... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Component_cs_cert_services:
"""Components common to central server certification services view Changelog: * 11.07.2017 | Documentation updated"""
def upload_ca_certificate(self, section1=u'paths', section2=u'cs_url'):
"""Uploda ca certificate :param section1: Test data section name :param section... | the_stack_v2_python_sparse | common/xrd-ui-tests-qautomate/common_lib/component_cs_cert_services.py | nordic-institute/X-Road-tests | train | 2 |
61a5cc55b6fb87ab34a7ec00f5914b1dfaaadda2 | [
"self.access_time_bucket_name = access_time_bucket_name\nself.access_time_end_days = access_time_end_days\nself.access_time_start_days = access_time_start_days",
"if dictionary is None:\n return None\naccess_time_bucket_name = dictionary.get('accessTimeBucketName')\naccess_time_end_days = dictionary.get('acces... | <|body_start_0|>
self.access_time_bucket_name = access_time_bucket_name
self.access_time_end_days = access_time_end_days
self.access_time_start_days = access_time_start_days
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
access_time_bucket_name = ... | Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" represents 1 month to 3 month. access_time_end_days (long|int): End time e.g. 1 year. Stored in days precisi... | NasAnalysisJobParams_AccessTimeBucket | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NasAnalysisJobParams_AccessTimeBucket:
"""Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" represents 1 month to 3 month. access_time_... | stack_v2_sparse_classes_36k_train_033357 | 2,305 | permissive | [
{
"docstring": "Constructor for the NasAnalysisJobParams_AccessTimeBucket class",
"name": "__init__",
"signature": "def __init__(self, access_time_bucket_name=None, access_time_end_days=None, access_time_start_days=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Arg... | 2 | null | Implement the Python class `NasAnalysisJobParams_AccessTimeBucket` described below.
Class description:
Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" repr... | Implement the Python class `NasAnalysisJobParams_AccessTimeBucket` described below.
Class description:
Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" repr... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class NasAnalysisJobParams_AccessTimeBucket:
"""Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" represents 1 month to 3 month. access_time_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NasAnalysisJobParams_AccessTimeBucket:
"""Implementation of the 'NasAnalysisJobParams_AccessTimeBucket' model. TODO: type description here. Attributes: access_time_bucket_name (string): Tag representing the bucket for access time of file. e.g. "1mo-3mo" represents 1 month to 3 month. access_time_end_days (lon... | the_stack_v2_python_sparse | cohesity_management_sdk/models/nas_analysis_job_params_access_time_bucket.py | cohesity/management-sdk-python | train | 24 |
1d7ee4d6487cb006fa1123eb93463030b1521eab | [
"super(GraphConvolution, self).__init__()\nself.use_bias = use_bias\nself.weight = nn.Parameter(torch.Tensor(input_dim, output_dim))\nif self.use_bias:\n self.bias = nn.Parameter(torch.Tensor(output_dim))\nelse:\n self.register_parameter('bias', None)\nself.__init_parameters()\nreturn",
"nn.init.kaiming_nor... | <|body_start_0|>
super(GraphConvolution, self).__init__()
self.use_bias = use_bias
self.weight = nn.Parameter(torch.Tensor(input_dim, output_dim))
if self.use_bias:
self.bias = nn.Parameter(torch.Tensor(output_dim))
else:
self.register_parameter('bias', No... | 图卷积层 | GraphConvolution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphConvolution:
"""图卷积层"""
def __init__(self, input_dim, output_dim, use_bias=True):
"""图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置"""
<|body_0|>
def __init_parameters(self):
"""初始... | stack_v2_sparse_classes_36k_train_033358 | 5,537 | permissive | [
{
"docstring": "图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置",
"name": "__init__",
"signature": "def __init__(self, input_dim, output_dim, use_bias=True)"
},
{
"docstring": "初始化权重和偏置",
"name": "__init_parameters"... | 3 | stack_v2_sparse_classes_30k_train_001619 | Implement the Python class `GraphConvolution` described below.
Class description:
图卷积层
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, use_bias=True): 图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置
- def __init... | Implement the Python class `GraphConvolution` described below.
Class description:
图卷积层
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, use_bias=True): 图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置
- def __init... | ee16c37fd065ba4c732138096f715f04c0ad6fcf | <|skeleton|>
class GraphConvolution:
"""图卷积层"""
def __init__(self, input_dim, output_dim, use_bias=True):
"""图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置"""
<|body_0|>
def __init_parameters(self):
"""初始... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphConvolution:
"""图卷积层"""
def __init__(self, input_dim, output_dim, use_bias=True):
"""图卷积层 SAGPool中使用图卷积层计算每个图中每个节点的score Inputs: ------- input_dim: int, 输入特征维度 output_dim: int, 输出特征维度 use_bias: boolean, 是否使用偏置"""
super(GraphConvolution, self).__init__()
self.use_bias = use_bi... | the_stack_v2_python_sparse | Graph/SAGPool/script/layers.py | robbinc91/GNN-Pytorch | train | 0 |
4738d8686d336f772986315314f05653e51d069e | [
"interaction_info = {}\nhbonds_lig_donors = pl_interaction.hbonds_ldon\nhbonds_rec_donors = pl_interaction.hbonds_pdon\ninteraction_info['rec_acceptors'] = {coords_to_string(hbond.a.coords): 1 for hbond in hbonds_lig_donors}\ninteraction_info['lig_donors'] = {coords_to_string(hbond.d.coords): 1 for hbond in hbonds_... | <|body_start_0|>
interaction_info = {}
hbonds_lig_donors = pl_interaction.hbonds_ldon
hbonds_rec_donors = pl_interaction.hbonds_pdon
interaction_info['rec_acceptors'] = {coords_to_string(hbond.a.coords): 1 for hbond in hbonds_lig_donors}
interaction_info['lig_donors'] = {coords_t... | Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG) | StructuralInteractionParser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StructuralInteractionParser:
"""Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG)"""
def mol_calculate_interactions(self, mol, pl_interaction):
"""Return dataframe with int... | stack_v2_sparse_classes_36k_train_033359 | 5,317 | no_license | [
{
"docstring": "Return dataframe with interactions from plip mol object",
"name": "mol_calculate_interactions",
"signature": "def mol_calculate_interactions(self, mol, pl_interaction)"
},
{
"docstring": "Return dataframe with interactions from one particular plip site.",
"name": "featurise_i... | 2 | stack_v2_sparse_classes_30k_train_018535 | Implement the Python class `StructuralInteractionParser` described below.
Class description:
Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG)
Method signatures and docstrings:
- def mol_calculate_interacti... | Implement the Python class `StructuralInteractionParser` described below.
Class description:
Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG)
Method signatures and docstrings:
- def mol_calculate_interacti... | d7fb507c22042ea8bd1d4851366f2456a2dffa82 | <|skeleton|>
class StructuralInteractionParser:
"""Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG)"""
def mol_calculate_interactions(self, mol, pl_interaction):
"""Return dataframe with int... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StructuralInteractionParser:
"""Python reimplementation of the gninatyper function, as per https://pubs.acs.org/doi/10.1021/acs.jcim.6b00740 (some code modified from Constantin Schneider, OPIG)"""
def mol_calculate_interactions(self, mol, pl_interaction):
"""Return dataframe with interactions fro... | the_stack_v2_python_sparse | point_vs/attribution/interaction_parser.py | rsanchezgarc/PointVS | train | 0 |
0448bb395c42a0d4bdfe8142c0f139af1b8d74df | [
"lst = []\nfor i in A:\n if i not in lst:\n lst.append(i)\n else:\n lst.remove(i)\nreturn lst[0]",
"ret = 0\nfor i in A:\n ret ^= i\nreturn ret"
] | <|body_start_0|>
lst = []
for i in A:
if i not in lst:
lst.append(i)
else:
lst.remove(i)
return lst[0]
<|end_body_0|>
<|body_start_1|>
ret = 0
for i in A:
ret ^= i
return ret
<|end_body_1|>
| @param: A: An integer array @return: An integer | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""@param: A: An integer array @return: An integer"""
def singleNumber_1(self, A):
"""第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数"""
<|body_0|>
def singleNumber(self, A):
"""异或"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
lst = []
for i i... | stack_v2_sparse_classes_36k_train_033360 | 859 | no_license | [
{
"docstring": "第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数",
"name": "singleNumber_1",
"signature": "def singleNumber_1(self, A)"
},
{
"docstring": "异或",
"name": "singleNumber",
"signature": "def singleNumber(self, A)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016815 | Implement the Python class `Solution` described below.
Class description:
@param: A: An integer array @return: An integer
Method signatures and docstrings:
- def singleNumber_1(self, A): 第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数
- def singleNumber(self, A): 异或 | Implement the Python class `Solution` described below.
Class description:
@param: A: An integer array @return: An integer
Method signatures and docstrings:
- def singleNumber_1(self, A): 第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数
- def singleNumber(self, A): 异或
<|skeleton|>
class Solution:
"""@param: A: An integer array @ret... | 87592a39d67d8e734e693327d6b063be334b37e2 | <|skeleton|>
class Solution:
"""@param: A: An integer array @return: An integer"""
def singleNumber_1(self, A):
"""第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数"""
<|body_0|>
def singleNumber(self, A):
"""异或"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""@param: A: An integer array @return: An integer"""
def singleNumber_1(self, A):
"""第1次出现加入列表,第2次出现从列表删除,剩余的为落单的数"""
lst = []
for i in A:
if i not in lst:
lst.append(i)
else:
lst.remove(i)
return lst[0]
... | the_stack_v2_python_sparse | LintCode/LintCode-82：落单的数.py | hoshizorahikari/PythonExercise | train | 0 |
21d7dbccebc56acfccc3f16e7634cca5e6df2ef1 | [
"self.nrows_written = 0\nself.fout = fout\nself.line_limit = line_limit",
"if self.line_limit is not None:\n if self.nrows_written == self.line_limit:\n raise LineLimitException('exceeded the limit of %d lines of output' % self.line_limit)\n(print >> self.fout, '\\t'.join(row))\nself.nrows_written += 1"... | <|body_start_0|>
self.nrows_written = 0
self.fout = fout
self.line_limit = line_limit
<|end_body_0|>
<|body_start_1|>
if self.line_limit is not None:
if self.nrows_written == self.line_limit:
raise LineLimitException('exceeded the limit of %d lines of output'... | RowWriter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RowWriter:
def __init__(self, fout, line_limit=None):
"""@param fout: a file open for writing @param line_limit: limit the number of lines written"""
<|body_0|>
def write_row(self, row):
"""@param row: a sequence of strings"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_033361 | 3,779 | no_license | [
{
"docstring": "@param fout: a file open for writing @param line_limit: limit the number of lines written",
"name": "__init__",
"signature": "def __init__(self, fout, line_limit=None)"
},
{
"docstring": "@param row: a sequence of strings",
"name": "write_row",
"signature": "def write_row... | 2 | null | Implement the Python class `RowWriter` described below.
Class description:
Implement the RowWriter class.
Method signatures and docstrings:
- def __init__(self, fout, line_limit=None): @param fout: a file open for writing @param line_limit: limit the number of lines written
- def write_row(self, row): @param row: a s... | Implement the Python class `RowWriter` described below.
Class description:
Implement the RowWriter class.
Method signatures and docstrings:
- def __init__(self, fout, line_limit=None): @param fout: a file open for writing @param line_limit: limit the number of lines written
- def write_row(self, row): @param row: a s... | 91c6f8331f18c914eb3dfc51bc166915998c5081 | <|skeleton|>
class RowWriter:
def __init__(self, fout, line_limit=None):
"""@param fout: a file open for writing @param line_limit: limit the number of lines written"""
<|body_0|>
def write_row(self, row):
"""@param row: a sequence of strings"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RowWriter:
def __init__(self, fout, line_limit=None):
"""@param fout: a file open for writing @param line_limit: limit the number of lines written"""
self.nrows_written = 0
self.fout = fout
self.line_limit = line_limit
def write_row(self, row):
"""@param row: a seq... | the_stack_v2_python_sparse | 20090826a.py | argriffing/xgcode | train | 1 | |
85f47f0d3e6a9c0418d427d00de354e8fc2f4223 | [
"orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)\nself.assertIsInstance(orogenh, iris.cube.Cube)\nself.assertEqual(orogenh.data.dtype, 'float32')\nfor coord in orogenh.coords(dim_coords=True):\n self.assertEqual(coord.points.dtype, 'float... | <|body_start_0|>
orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
self.assertIsInstance(orogenh, iris.cube.Cube)
self.assertEqual(orogenh.data.dtype, 'float32')
for coord in orogenh.coords(dim_coords=True):
... | Test the process method | Test_process | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_process:
"""Test the process method"""
def test_basic(self):
"""Test output is float32 cube with float32 coordinates"""
<|body_0|>
def test_unmatched_coords(self):
"""Test error thrown if input variable cubes do not match"""
<|body_1|>
def test_... | stack_v2_sparse_classes_36k_train_033362 | 34,979 | permissive | [
{
"docstring": "Test output is float32 cube with float32 coordinates",
"name": "test_basic",
"signature": "def test_basic(self)"
},
{
"docstring": "Test error thrown if input variable cubes do not match",
"name": "test_unmatched_coords",
"signature": "def test_unmatched_coords(self)"
}... | 5 | stack_v2_sparse_classes_30k_train_007430 | Implement the Python class `Test_process` described below.
Class description:
Test the process method
Method signatures and docstrings:
- def test_basic(self): Test output is float32 cube with float32 coordinates
- def test_unmatched_coords(self): Test error thrown if input variable cubes do not match
- def test_extr... | Implement the Python class `Test_process` described below.
Class description:
Test the process method
Method signatures and docstrings:
- def test_basic(self): Test output is float32 cube with float32 coordinates
- def test_unmatched_coords(self): Test error thrown if input variable cubes do not match
- def test_extr... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_process:
"""Test the process method"""
def test_basic(self):
"""Test output is float32 cube with float32 coordinates"""
<|body_0|>
def test_unmatched_coords(self):
"""Test error thrown if input variable cubes do not match"""
<|body_1|>
def test_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_process:
"""Test the process method"""
def test_basic(self):
"""Test output is float32 cube with float32 coordinates"""
orogenh = self.plugin.process(self.temperature, self.humidity, self.pressure, self.uwind, self.vwind, self.orography_cube)
self.assertIsInstance(orogenh, ir... | the_stack_v2_python_sparse | improver_tests/orographic_enhancement/test_OrographicEnhancement.py | metoppv/improver | train | 101 |
ebefb7727799fa0d1e25ed8aa85f57905afa5370 | [
"if root is None:\n return []\nelse:\n path_list = []\n self.binaryTreePathsHelper(root, '', path_list)\n return path_list",
"if root is None:\n return\nif curr_path == '':\n curr_path += str(root.val)\nelse:\n curr_path += '->' + str(root.val)\nif root.left is None and root.right is None:\n ... | <|body_start_0|>
if root is None:
return []
else:
path_list = []
self.binaryTreePathsHelper(root, '', path_list)
return path_list
<|end_body_0|>
<|body_start_1|>
if root is None:
return
if curr_path == '':
curr_path... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def binaryTreePaths(self, root):
""":type root: TreeNode :rtype: List[str]"""
<|body_0|>
def binaryTreePathsHelper(self, root, curr_path, path_list):
""":type root: TreeNode :type path_list[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_033363 | 885 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[str]",
"name": "binaryTreePaths",
"signature": "def binaryTreePaths(self, root)"
},
{
"docstring": ":type root: TreeNode :type path_list[str]",
"name": "binaryTreePathsHelper",
"signature": "def binaryTreePathsHelper(self, root, curr_path... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def binaryTreePaths(self, root): :type root: TreeNode :rtype: List[str]
- def binaryTreePathsHelper(self, root, curr_path, path_list): :type root: TreeNode :type path_list[str] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def binaryTreePaths(self, root): :type root: TreeNode :rtype: List[str]
- def binaryTreePathsHelper(self, root, curr_path, path_list): :type root: TreeNode :type path_list[str]
... | c17653832269ab1bb3e411f7d74bef4c8e9985b3 | <|skeleton|>
class Solution:
def binaryTreePaths(self, root):
""":type root: TreeNode :rtype: List[str]"""
<|body_0|>
def binaryTreePathsHelper(self, root, curr_path, path_list):
""":type root: TreeNode :type path_list[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def binaryTreePaths(self, root):
""":type root: TreeNode :rtype: List[str]"""
if root is None:
return []
else:
path_list = []
self.binaryTreePathsHelper(root, '', path_list)
return path_list
def binaryTreePathsHelper(self, ... | the_stack_v2_python_sparse | Python/binary_tree_paths/binary_tree_paths.py | lqs4188980/CodingPractice | train | 0 | |
04e56764d5a4c05096e2388a99b526e66617a596 | [
"self.output_dir = outputDir\nself.package = package\nself.generate_id = uuid.uuid4\nself.pages = pages\nself.itemStr = ''\nself.resStr = ''",
"filename = 'imsmanifest.xml'\nout = open(self.output_dir / filename, 'w', encoding='utf-8')\nout.write(self.createXML())\nout.close()\nlrm = model_to_dict(self.package.du... | <|body_start_0|>
self.output_dir = outputDir
self.package = package
self.generate_id = uuid.uuid4
self.pages = pages
self.itemStr = ''
self.resStr = ''
<|end_body_0|>
<|body_start_1|>
filename = 'imsmanifest.xml'
out = open(self.output_dir / filename, 'w'... | Represents an imsmanifest xml file | Manifest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manifest:
"""Represents an imsmanifest xml file"""
def __init__(self, outputDir, package, pages):
"""Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml"""
<|body_0|>
def save(self):
"""Save a imsmanifest file and ... | stack_v2_sparse_classes_36k_train_033364 | 6,218 | no_license | [
{
"docstring": "Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml",
"name": "__init__",
"signature": "def __init__(self, outputDir, package, pages)"
},
{
"docstring": "Save a imsmanifest file and metadata to self.output_dir",
"name": "save",... | 4 | stack_v2_sparse_classes_30k_train_021032 | Implement the Python class `Manifest` described below.
Class description:
Represents an imsmanifest xml file
Method signatures and docstrings:
- def __init__(self, outputDir, package, pages): Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml
- def save(self): Save a ... | Implement the Python class `Manifest` described below.
Class description:
Represents an imsmanifest xml file
Method signatures and docstrings:
- def __init__(self, outputDir, package, pages): Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml
- def save(self): Save a ... | 2cf50de25cdb8427668ec98c5ae3b17f3c2edbcf | <|skeleton|>
class Manifest:
"""Represents an imsmanifest xml file"""
def __init__(self, outputDir, package, pages):
"""Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml"""
<|body_0|>
def save(self):
"""Save a imsmanifest file and ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Manifest:
"""Represents an imsmanifest xml file"""
def __init__(self, outputDir, package, pages):
"""Initialize 'output_dir' is the directory that we read the html from and also output the mainfest.xml"""
self.output_dir = outputDir
self.package = package
self.generate_id ... | the_stack_v2_python_sparse | exeapp/views/export/imsexport.py | TUM-MZ/creyoco | train | 1 |
cc65871d127c4b6724dff20c675b187c81eb99c4 | [
"self.frameList = settings.FrameList().getFromValue('Frame List', self, [])\nself.animationLineQuickening = settings.FloatSpinUpdate().getFromValue(0.5, 'Animation Line Quickening (ratio):', self, 4.5, 1.0)\nself.animationSlideShowRate = settings.FloatSpinUpdate().getFromValue(1.0, 'Animation Slide Show Rate (layer... | <|body_start_0|>
self.frameList = settings.FrameList().getFromValue('Frame List', self, [])
self.animationLineQuickening = settings.FloatSpinUpdate().getFromValue(0.5, 'Animation Line Quickening (ratio):', self, 4.5, 1.0)
self.animationSlideShowRate = settings.FloatSpinUpdate().getFromValue(1.0,... | The viewer base repository class. | TableauRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableauRepository:
"""The viewer base repository class."""
def addAnimation(self):
"""Add the animation settings."""
<|body_0|>
def addScaleScreenSlide(self):
"""Add the scale, screen and slide show settings."""
<|body_1|>
def setToDisplaySave(self, ... | stack_v2_sparse_classes_36k_train_033365 | 33,354 | no_license | [
{
"docstring": "Add the animation settings.",
"name": "addAnimation",
"signature": "def addAnimation(self)"
},
{
"docstring": "Add the scale, screen and slide show settings.",
"name": "addScaleScreenSlide",
"signature": "def addScaleScreenSlide(self)"
},
{
"docstring": "Set the s... | 3 | stack_v2_sparse_classes_30k_train_002613 | Implement the Python class `TableauRepository` described below.
Class description:
The viewer base repository class.
Method signatures and docstrings:
- def addAnimation(self): Add the animation settings.
- def addScaleScreenSlide(self): Add the scale, screen and slide show settings.
- def setToDisplaySave(self, even... | Implement the Python class `TableauRepository` described below.
Class description:
The viewer base repository class.
Method signatures and docstrings:
- def addAnimation(self): Add the animation settings.
- def addScaleScreenSlide(self): Add the scale, screen and slide show settings.
- def setToDisplaySave(self, even... | fd69d8e856780c826386dc973ceabcc03623f3e8 | <|skeleton|>
class TableauRepository:
"""The viewer base repository class."""
def addAnimation(self):
"""Add the animation settings."""
<|body_0|>
def addScaleScreenSlide(self):
"""Add the scale, screen and slide show settings."""
<|body_1|>
def setToDisplaySave(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TableauRepository:
"""The viewer base repository class."""
def addAnimation(self):
"""Add the animation settings."""
self.frameList = settings.FrameList().getFromValue('Frame List', self, [])
self.animationLineQuickening = settings.FloatSpinUpdate().getFromValue(0.5, 'Animation Li... | the_stack_v2_python_sparse | skeinforge_tools/analyze_plugins/analyze_utilities/tableau.py | bmander/skeinforge | train | 34 |
898844c574a735ddd0b2c73f92daf849c700c4e1 | [
"adm = ApplikationsAdministration()\nverbund = adm.get_anwenderverbund_by_id(id)\nif verbund is not None:\n mitglieder_id = adm.mitglieder_zum_anwenderverbund_ausgeben(verbund)\n benutze_objekte = []\n for i in mitglieder_id:\n benutze_objekt = adm.get_benutzer_by_id(i)\n benutze_objekte.appe... | <|body_start_0|>
adm = ApplikationsAdministration()
verbund = adm.get_anwenderverbund_by_id(id)
if verbund is not None:
mitglieder_id = adm.mitglieder_zum_anwenderverbund_ausgeben(verbund)
benutze_objekte = []
for i in mitglieder_id:
benutze_ob... | AnwenderverbundRelatedBenutzerOperations | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
<|body_0|>
def post(self, id):
"""Hinzufügen eines Benutzers in einen Anwenderverbund"""
<|body_1|>
def delete(self... | stack_v2_sparse_classes_36k_train_033366 | 23,456 | no_license | [
{
"docstring": "Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Hinzufügen eines Benutzers in einen Anwenderverbund",
"name": "post",
"signature": "def post(self, id)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_015979 | Implement the Python class `AnwenderverbundRelatedBenutzerOperations` described below.
Class description:
Implement the AnwenderverbundRelatedBenutzerOperations class.
Method signatures and docstrings:
- def get(self, id): Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund
- def post(self, id): H... | Implement the Python class `AnwenderverbundRelatedBenutzerOperations` described below.
Class description:
Implement the AnwenderverbundRelatedBenutzerOperations class.
Method signatures and docstrings:
- def get(self, id): Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund
- def post(self, id): H... | d4a2b196f21a5379188cb78b31c59d69f739964f | <|skeleton|>
class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
<|body_0|>
def post(self, id):
"""Hinzufügen eines Benutzers in einen Anwenderverbund"""
<|body_1|>
def delete(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AnwenderverbundRelatedBenutzerOperations:
def get(self, id):
"""Auslesen aller Mitglieder in einem durch Id definierten Anwenderverbund"""
adm = ApplikationsAdministration()
verbund = adm.get_anwenderverbund_by_id(id)
if verbund is not None:
mitglieder_id = adm.mitg... | the_stack_v2_python_sparse | src/main.py | SvenjaHolzinger/SoftwarePraktikum | train | 0 | |
db764bd8f2b1f941f276c0f489b22c6ea1ff800e | [
"try:\n val = field.data.strip()\n if val:\n float(val)\n return True\nexcept ValueError:\n raise ValidationError('Invalid number provided(only numbers and 1 period allowed)')",
"if not validator_names:\n return field\nfor i in xrange(0, len(validator_names)):\n if validator_names[i] == '... | <|body_start_0|>
try:
val = field.data.strip()
if val:
float(val)
return True
except ValueError:
raise ValidationError('Invalid number provided(only numbers and 1 period allowed)')
<|end_body_0|>
<|body_start_1|>
if not validator_n... | Form to add a new media item | AddMediaForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddMediaForm:
"""Form to add a new media item"""
def isNum(form, field):
"""Check if the field"s value is a number(integer or floating value)"""
<|body_0|>
def removeValidators(self, field, validator_names=None):
"""Remove validator from the field's validator lis... | stack_v2_sparse_classes_36k_train_033367 | 4,448 | no_license | [
{
"docstring": "Check if the field\"s value is a number(integer or floating value)",
"name": "isNum",
"signature": "def isNum(form, field)"
},
{
"docstring": "Remove validator from the field's validator list",
"name": "removeValidators",
"signature": "def removeValidators(self, field, va... | 2 | stack_v2_sparse_classes_30k_train_015751 | Implement the Python class `AddMediaForm` described below.
Class description:
Form to add a new media item
Method signatures and docstrings:
- def isNum(form, field): Check if the field"s value is a number(integer or floating value)
- def removeValidators(self, field, validator_names=None): Remove validator from the ... | Implement the Python class `AddMediaForm` described below.
Class description:
Form to add a new media item
Method signatures and docstrings:
- def isNum(form, field): Check if the field"s value is a number(integer or floating value)
- def removeValidators(self, field, validator_names=None): Remove validator from the ... | 320ae68ce21b24dfa5902e8e5b6f4bb0cf1d504e | <|skeleton|>
class AddMediaForm:
"""Form to add a new media item"""
def isNum(form, field):
"""Check if the field"s value is a number(integer or floating value)"""
<|body_0|>
def removeValidators(self, field, validator_names=None):
"""Remove validator from the field's validator lis... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddMediaForm:
"""Form to add a new media item"""
def isNum(form, field):
"""Check if the field"s value is a number(integer or floating value)"""
try:
val = field.data.strip()
if val:
float(val)
return True
except ValueError:
... | the_stack_v2_python_sparse | mad/modules/media/forms.py | jorluft/fla | train | 0 |
7d8f8d81b0c6dbcbe3081e6687b254a9c7f16a9f | [
"def cal(s1: str, s2: str) -> int:\n res = 0\n maxSum, maxSumWithS2 = (0, -int(1000000000.0))\n for char in s:\n if char == s1:\n maxSum += 1\n maxSumWithS2 += 1\n elif char == s2:\n maxSum -= 1\n maxSumWithS2 = maxSum\n if maxSum < 0:\n ... | <|body_start_0|>
def cal(s1: str, s2: str) -> int:
res = 0
maxSum, maxSumWithS2 = (0, -int(1000000000.0))
for char in s:
if char == s1:
maxSum += 1
maxSumWithS2 += 1
elif char == s2:
m... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestVariance(self, s: str) -> int:
"""时间复杂度O(26*26*n) max 换成 if 2964 ms"""
<|body_0|>
def largestVariance2(self, s: str) -> int:
"""时间复杂度O(26*26*n) 用 max 7536 ms"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def cal(s1: str, s2: s... | stack_v2_sparse_classes_36k_train_033368 | 2,462 | no_license | [
{
"docstring": "时间复杂度O(26*26*n) max 换成 if 2964 ms",
"name": "largestVariance",
"signature": "def largestVariance(self, s: str) -> int"
},
{
"docstring": "时间复杂度O(26*26*n) 用 max 7536 ms",
"name": "largestVariance2",
"signature": "def largestVariance2(self, s: str) -> int"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestVariance(self, s: str) -> int: 时间复杂度O(26*26*n) max 换成 if 2964 ms
- def largestVariance2(self, s: str) -> int: 时间复杂度O(26*26*n) 用 max 7536 ms | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestVariance(self, s: str) -> int: 时间复杂度O(26*26*n) max 换成 if 2964 ms
- def largestVariance2(self, s: str) -> int: 时间复杂度O(26*26*n) 用 max 7536 ms
<|skeleton|>
class Solutio... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def largestVariance(self, s: str) -> int:
"""时间复杂度O(26*26*n) max 换成 if 2964 ms"""
<|body_0|>
def largestVariance2(self, s: str) -> int:
"""时间复杂度O(26*26*n) 用 max 7536 ms"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def largestVariance(self, s: str) -> int:
"""时间复杂度O(26*26*n) max 换成 if 2964 ms"""
def cal(s1: str, s2: str) -> int:
res = 0
maxSum, maxSumWithS2 = (0, -int(1000000000.0))
for char in s:
if char == s1:
maxSum += 1... | the_stack_v2_python_sparse | chore/py/python的max函数很慢.py | 981377660LMT/algorithm-study | train | 225 | |
2ea15cf44b4fd5622fc0e931fe4ed287652c1b6c | [
"self.trec_eval_command = trec_eval_command\nself.relevant_metrics = relevant_metrics\nself.q_rel_file = q_rel_file\nself.temp_run_file = '/tmp/temp_run_by_carlos.run'\nself.run_file_exporter = RUN_File_Transform_Exporter(self.temp_run_file, model_name='temp_model_by_carlos')",
"self.run_file_exporter(samples)\nr... | <|body_start_0|>
self.trec_eval_command = trec_eval_command
self.relevant_metrics = relevant_metrics
self.q_rel_file = q_rel_file
self.temp_run_file = '/tmp/temp_run_by_carlos.run'
self.run_file_exporter = RUN_File_Transform_Exporter(self.temp_run_file, model_name='temp_model_by_... | TREC_Eval_Command_Experiment | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TREC_Eval_Command_Experiment:
def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,20,100,1000 -m all_trec qRELS RUN_FILE', relevant_metrics=['ndcg_cut_3', 'ndcg_cut_5', 'ndcg_cut_1000', 'map_cut_1000', 'recall_500', 'recall_1000'], q_rel_file='datasets/TREC_CAsT/2... | stack_v2_sparse_classes_36k_train_033369 | 13,210 | no_license | [
{
"docstring": "This is an experiment transform that uses the official trec_eval command to compute scores for each query and return valid results according to the command specified.",
"name": "__init__",
"signature": "def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,2... | 2 | stack_v2_sparse_classes_30k_val_000986 | Implement the Python class `TREC_Eval_Command_Experiment` described below.
Class description:
Implement the TREC_Eval_Command_Experiment class.
Method signatures and docstrings:
- def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,20,100,1000 -m all_trec qRELS RUN_FILE', relevant_metr... | Implement the Python class `TREC_Eval_Command_Experiment` described below.
Class description:
Implement the TREC_Eval_Command_Experiment class.
Method signatures and docstrings:
- def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,20,100,1000 -m all_trec qRELS RUN_FILE', relevant_metr... | 92dd4d41ad6f2be5b5c4e296e2a355bb14b9a1db | <|skeleton|>
class TREC_Eval_Command_Experiment:
def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,20,100,1000 -m all_trec qRELS RUN_FILE', relevant_metrics=['ndcg_cut_3', 'ndcg_cut_5', 'ndcg_cut_1000', 'map_cut_1000', 'recall_500', 'recall_1000'], q_rel_file='datasets/TREC_CAsT/2... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TREC_Eval_Command_Experiment:
def __init__(self, trec_eval_command='trec_eval -q -c -M1000 -m ndcg_cut.3,5,10,15,20,100,1000 -m all_trec qRELS RUN_FILE', relevant_metrics=['ndcg_cut_3', 'ndcg_cut_5', 'ndcg_cut_1000', 'map_cut_1000', 'recall_500', 'recall_1000'], q_rel_file='datasets/TREC_CAsT/2020qrels.txt')... | the_stack_v2_python_sparse | notebooks/src/Experiments.py | carlos-gemmell/Glasgow-NLP | train | 0 | |
68d3022df6a0e7b227195cf70677aa33c8a96290 | [
"self.specs = specs\nself.has_exclusions = specs.has_exclusions()\nself.has_all_inclusions = specs.has_all_inclusions()\nself.indexer = Indexer(self.specs.specs_final)\nself.indexer.builder()\nself.index = self.indexer.index\nself.includes_out_of_order = self.indexer.includes_out_of_order\nself.includes_repeats = s... | <|body_start_0|>
self.specs = specs
self.has_exclusions = specs.has_exclusions()
self.has_all_inclusions = specs.has_all_inclusions()
self.indexer = Indexer(self.specs.specs_final)
self.indexer.builder()
self.index = self.indexer.index
self.includes_out_of_order =... | Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs. | SpecProcessor | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpecProcessor:
"""Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs."""
def __init__(self, specs) -> None:
"""Args: specs: a L... | stack_v2_sparse_classes_36k_train_033370 | 23,596 | permissive | [
{
"docstring": "Args: specs: a List of SpecRecords Public Methods: specs_evaluator: evaluates an offset against the list of specs Notes: Automatically generates self.index - which is a list of offsets. This supports a fast alternative method of evaluating cols & recs.",
"name": "__init__",
"signature": ... | 3 | stack_v2_sparse_classes_30k_train_007518 | Implement the Python class `SpecProcessor` described below.
Class description:
Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs.
Method signatures and docstrin... | Implement the Python class `SpecProcessor` described below.
Class description:
Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs.
Method signatures and docstrin... | 133e927d150fa05317784246df69591dada648bb | <|skeleton|>
class SpecProcessor:
"""Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs."""
def __init__(self, specs) -> None:
"""Args: specs: a L... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpecProcessor:
"""Manages the evaluation of record numbers against spec for a single spec_type It uses the Specification List[SpecRecord] structure as input and supports the evaluation of col or row numbers aginst these specs."""
def __init__(self, specs) -> None:
"""Args: specs: a List of SpecRe... | the_stack_v2_python_sparse | datagristle/slice_specs.py | kenfar/DataGristle | train | 91 |
d318fbed9392837edd71967e45d25aa827dc9bf5 | [
"Sprite.__init__(self)\nself.pose = np.array([x, y, theta])\nself.pose_velocity = np.array([0, 0, 0])\nself.mask = mask\nself.color = color\nself.image = Surface([width, height])\nself.image.set_colorkey(simulation.SIMULATION_BG_COLOR)\nself.dims = [width, height]\nself.rect = self.image.get_rect()\nself.autoscale ... | <|body_start_0|>
Sprite.__init__(self)
self.pose = np.array([x, y, theta])
self.pose_velocity = np.array([0, 0, 0])
self.mask = mask
self.color = color
self.image = Surface([width, height])
self.image.set_colorkey(simulation.SIMULATION_BG_COLOR)
self.dims ... | Abstraction of a simulated object with a pose and a sprite. | SimulationObject | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimulationObject:
"""Abstraction of a simulated object with a pose and a sprite."""
def __init__(self, x, y, theta, width=0, height=0, color=(0, 0, 0), mask=MASK_RECT):
"""Parameters ---------- x: float horizontal position in units y: float vertical position in units theta: heading i... | stack_v2_sparse_classes_36k_train_033371 | 4,642 | permissive | [
{
"docstring": "Parameters ---------- x: float horizontal position in units y: float vertical position in units theta: heading in radians width: float width in units height: float height in units color: tuple (r, g, b) mask: int sprite mask (circle or rectangle)",
"name": "__init__",
"signature": "def _... | 5 | stack_v2_sparse_classes_30k_train_000576 | Implement the Python class `SimulationObject` described below.
Class description:
Abstraction of a simulated object with a pose and a sprite.
Method signatures and docstrings:
- def __init__(self, x, y, theta, width=0, height=0, color=(0, 0, 0), mask=MASK_RECT): Parameters ---------- x: float horizontal position in u... | Implement the Python class `SimulationObject` described below.
Class description:
Abstraction of a simulated object with a pose and a sprite.
Method signatures and docstrings:
- def __init__(self, x, y, theta, width=0, height=0, color=(0, 0, 0), mask=MASK_RECT): Parameters ---------- x: float horizontal position in u... | 4e91e86c86bfbdd8d4639b0994e96e890a2f741e | <|skeleton|>
class SimulationObject:
"""Abstraction of a simulated object with a pose and a sprite."""
def __init__(self, x, y, theta, width=0, height=0, color=(0, 0, 0), mask=MASK_RECT):
"""Parameters ---------- x: float horizontal position in units y: float vertical position in units theta: heading i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SimulationObject:
"""Abstraction of a simulated object with a pose and a sprite."""
def __init__(self, x, y, theta, width=0, height=0, color=(0, 0, 0), mask=MASK_RECT):
"""Parameters ---------- x: float horizontal position in units y: float vertical position in units theta: heading in radians wid... | the_stack_v2_python_sparse | tools/simulator/r5engine/object.py | ut-ras/r5-2019 | train | 5 |
905fd479c6a5d7f920b82a4b3a834d6e4e84d440 | [
"increasing = decreasing = True\nfor i in range(len(A) - 1):\n if A[i] > A[i + 1]:\n increasing = False\n if A[i] < A[i + 1]:\n decreasing = False\nreturn increasing or decreasing",
"store = 0\nfor i in range(len(A) - 1):\n c = get_comparison(A[i], A[i + 1])\n if c:\n if c != stor... | <|body_start_0|>
increasing = decreasing = True
for i in range(len(A) - 1):
if A[i] > A[i + 1]:
increasing = False
if A[i] < A[i + 1]:
decreasing = False
return increasing or decreasing
<|end_body_0|>
<|body_start_1|>
store = 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isMonotonic(self, A):
"""One pass"""
<|body_0|>
def isMonotonic1(self, A):
"""One pass"""
<|body_1|>
def isMonotonic(self, A):
"""Two passes"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
increasing = decreasing =... | stack_v2_sparse_classes_36k_train_033372 | 1,628 | no_license | [
{
"docstring": "One pass",
"name": "isMonotonic",
"signature": "def isMonotonic(self, A)"
},
{
"docstring": "One pass",
"name": "isMonotonic1",
"signature": "def isMonotonic1(self, A)"
},
{
"docstring": "Two passes",
"name": "isMonotonic",
"signature": "def isMonotonic(se... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMonotonic(self, A): One pass
- def isMonotonic1(self, A): One pass
- def isMonotonic(self, A): Two passes | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isMonotonic(self, A): One pass
- def isMonotonic1(self, A): One pass
- def isMonotonic(self, A): Two passes
<|skeleton|>
class Solution:
def isMonotonic(self, A):
... | 42c6eb8656e85b76f1c0043dcddc9c526ae12ba1 | <|skeleton|>
class Solution:
def isMonotonic(self, A):
"""One pass"""
<|body_0|>
def isMonotonic1(self, A):
"""One pass"""
<|body_1|>
def isMonotonic(self, A):
"""Two passes"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isMonotonic(self, A):
"""One pass"""
increasing = decreasing = True
for i in range(len(A) - 1):
if A[i] > A[i + 1]:
increasing = False
if A[i] < A[i + 1]:
decreasing = False
return increasing or decreasing
... | the_stack_v2_python_sparse | Arrays/Tasks/leetcode(896).py | Invalid-coder/Data-Structures-and-algorithms | train | 0 | |
4c55d1d11be9471bd623e486fc8554279b5ba68d | [
"if source.ctype not in ConstructType.features:\n raise ValueError(\"Expected source to be of ctype 'features'.\")\nsuper().__init__(expected=(source,))\nself.interface = interface\nself.temperature = temperature",
"strengths, = self.extract_inputs(inputs)\ncmds_by_dims = group_by_dims(self.interface.cmds)\npa... | <|body_start_0|>
if source.ctype not in ConstructType.features:
raise ValueError("Expected source to be of ctype 'features'.")
super().__init__(expected=(source,))
self.interface = interface
self.temperature = temperature
<|end_body_0|>
<|body_start_1|>
strengths, = ... | Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a dimension with only one value), it is treated like a continuous parameter and its... | ActionSelector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActionSelector:
"""Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a dimension with only one value), it is t... | stack_v2_sparse_classes_36k_train_033373 | 7,721 | permissive | [
{
"docstring": "Initialize an ``ActionSelector`` instance. :param dims: Registered action dimensions. :param temperature: Temperature of the Boltzmann distribution.",
"name": "__init__",
"signature": "def __init__(self, source, interface, temperature)"
},
{
"docstring": "Select actionable chunks... | 2 | stack_v2_sparse_classes_30k_train_014316 | Implement the Python class `ActionSelector` described below.
Class description:
Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a ... | Implement the Python class `ActionSelector` described below.
Class description:
Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a ... | d8ff4c545785ec6cddc989dded9c1a9d3dd91514 | <|skeleton|>
class ActionSelector:
"""Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a dimension with only one value), it is t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ActionSelector:
"""Selects actions and paramaters according to Boltzmann distributions. Action and parameter features are selected from a given client interface. For parameter features, if a parameter feature is found to be of a singleton dimension (i.e., a dimension with only one value), it is treated like a... | the_stack_v2_python_sparse | pyClarion/components/propagators.py | HZeng3/pyClarion | train | 0 |
4bfee2faea424795dc873b98c2462abb6422829f | [
"super(StateActor, self).__init__(*args, steps_per_run, episodes_per_run, **kwargs)\nself._driver = drivers.StatePyDriver(self._env, self._policy, self._observers, max_steps=steps_per_run, max_episodes=episodes_per_run)\nself.reset()",
"super().write_metric_summaries()\nif self._metrics is None:\n return\nwith... | <|body_start_0|>
super(StateActor, self).__init__(*args, steps_per_run, episodes_per_run, **kwargs)
self._driver = drivers.StatePyDriver(self._env, self._policy, self._observers, max_steps=steps_per_run, max_episodes=episodes_per_run)
self.reset()
<|end_body_0|>
<|body_start_1|>
super()... | An Actor that adds uses the StatePyDriver. | StateActor | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StateActor:
"""An Actor that adds uses the StatePyDriver."""
def __init__(self, *args, steps_per_run=None, episodes_per_run=None, **kwargs):
"""Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of steps evaluated per run call. episodes_per_run: Number of ep... | stack_v2_sparse_classes_36k_train_033374 | 3,607 | permissive | [
{
"docstring": "Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of steps evaluated per run call. episodes_per_run: Number of episodes evaluated per run call. **kwargs: See superclass.",
"name": "__init__",
"signature": "def __init__(self, *args, steps_per_run=None, episodes_... | 2 | stack_v2_sparse_classes_30k_train_019239 | Implement the Python class `StateActor` described below.
Class description:
An Actor that adds uses the StatePyDriver.
Method signatures and docstrings:
- def __init__(self, *args, steps_per_run=None, episodes_per_run=None, **kwargs): Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of ste... | Implement the Python class `StateActor` described below.
Class description:
An Actor that adds uses the StatePyDriver.
Method signatures and docstrings:
- def __init__(self, *args, steps_per_run=None, episodes_per_run=None, **kwargs): Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of ste... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class StateActor:
"""An Actor that adds uses the StatePyDriver."""
def __init__(self, *args, steps_per_run=None, episodes_per_run=None, **kwargs):
"""Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of steps evaluated per run call. episodes_per_run: Number of ep... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StateActor:
"""An Actor that adds uses the StatePyDriver."""
def __init__(self, *args, steps_per_run=None, episodes_per_run=None, **kwargs):
"""Initializes a StateActor. Args: *args: See superclass. steps_per_run: Number of steps evaluated per run call. episodes_per_run: Number of episodes evalua... | the_stack_v2_python_sparse | social_rl/multiagent_tfagents/joint_attention/utils.py | Jimmy-INL/google-research | train | 1 |
e46cfcd3f40f76248b8e0b88734e1db0e747a6ab | [
"with QuantumTape() as tape:\n qml.RX(0.1, wires=0)\nwith pytest.raises(qml.queuing.QueuingError, match='Cannot stop recording'):\n with tape.stop_recording():\n pass",
"with QuantumTape() as tape1:\n qml.RX(0.1, wires=0)\n with QuantumTape() as tape2:\n qml.RX(0.1, wires=0)\n wit... | <|body_start_0|>
with QuantumTape() as tape:
qml.RX(0.1, wires=0)
with pytest.raises(qml.queuing.QueuingError, match='Cannot stop recording'):
with tape.stop_recording():
pass
<|end_body_0|>
<|body_start_1|>
with QuantumTape() as tape1:
qml.RX... | Test that the stop_recording function works as expected | TestStopRecording | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestStopRecording:
"""Test that the stop_recording function works as expected"""
def test_tape_not_recording(self):
"""Test that an error is raised if the tape is no longer recording"""
<|body_0|>
def test_nested_tape_not_recording(self):
"""Test that an error is... | stack_v2_sparse_classes_36k_train_033375 | 49,877 | permissive | [
{
"docstring": "Test that an error is raised if the tape is no longer recording",
"name": "test_tape_not_recording",
"signature": "def test_tape_not_recording(self)"
},
{
"docstring": "Test that an error is raised if the tape is no longer recording",
"name": "test_nested_tape_not_recording",... | 5 | stack_v2_sparse_classes_30k_test_000751 | Implement the Python class `TestStopRecording` described below.
Class description:
Test that the stop_recording function works as expected
Method signatures and docstrings:
- def test_tape_not_recording(self): Test that an error is raised if the tape is no longer recording
- def test_nested_tape_not_recording(self): ... | Implement the Python class `TestStopRecording` described below.
Class description:
Test that the stop_recording function works as expected
Method signatures and docstrings:
- def test_tape_not_recording(self): Test that an error is raised if the tape is no longer recording
- def test_nested_tape_not_recording(self): ... | 0c1c805fd5dfce465a8955ee3faf81037023a23e | <|skeleton|>
class TestStopRecording:
"""Test that the stop_recording function works as expected"""
def test_tape_not_recording(self):
"""Test that an error is raised if the tape is no longer recording"""
<|body_0|>
def test_nested_tape_not_recording(self):
"""Test that an error is... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestStopRecording:
"""Test that the stop_recording function works as expected"""
def test_tape_not_recording(self):
"""Test that an error is raised if the tape is no longer recording"""
with QuantumTape() as tape:
qml.RX(0.1, wires=0)
with pytest.raises(qml.queuing.Que... | the_stack_v2_python_sparse | artifacts/old_dataset_versions/original_commits_v02/pennylane/pennylane#1243/before/test_tape.py | MattePalte/Bugs-Quantum-Computing-Platforms | train | 4 |
c0ed1d997f630ce95ea7ed65564f048e09c10537 | [
"bidcycle = BidCycle.objects.filter(active=True).latest('cycle_start_date')\naccepting_bids_query = Subquery(bidcycle.annotated_positions.filter(accepting_bids=value).values_list('id', flat=True))\nreturn queryset.filter(id__in=accepting_bids_query)",
"start = timezone.now()\nend = start + relativedelta(years=val... | <|body_start_0|>
bidcycle = BidCycle.objects.filter(active=True).latest('cycle_start_date')
accepting_bids_query = Subquery(bidcycle.annotated_positions.filter(accepting_bids=value).values_list('id', flat=True))
return queryset.filter(id__in=accepting_bids_query)
<|end_body_0|>
<|body_start_1|>... | PositionFilter | [
"CC0-1.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PositionFilter:
def filter_available_in_current_bidcycle(self, queryset, name, value):
"""Returns a queryset of all positions who are in the latest active bidcycle and do not have any bids with handshake or above status"""
<|body_0|>
def filter_vacancy_in_years(self, queryse... | stack_v2_sparse_classes_36k_train_033376 | 7,305 | permissive | [
{
"docstring": "Returns a queryset of all positions who are in the latest active bidcycle and do not have any bids with handshake or above status",
"name": "filter_available_in_current_bidcycle",
"signature": "def filter_available_in_current_bidcycle(self, queryset, name, value)"
},
{
"docstring... | 2 | stack_v2_sparse_classes_30k_val_000007 | Implement the Python class `PositionFilter` described below.
Class description:
Implement the PositionFilter class.
Method signatures and docstrings:
- def filter_available_in_current_bidcycle(self, queryset, name, value): Returns a queryset of all positions who are in the latest active bidcycle and do not have any b... | Implement the Python class `PositionFilter` described below.
Class description:
Implement the PositionFilter class.
Method signatures and docstrings:
- def filter_available_in_current_bidcycle(self, queryset, name, value): Returns a queryset of all positions who are in the latest active bidcycle and do not have any b... | cf71acd2ea0957aa2d599da8e1185d8519d8b013 | <|skeleton|>
class PositionFilter:
def filter_available_in_current_bidcycle(self, queryset, name, value):
"""Returns a queryset of all positions who are in the latest active bidcycle and do not have any bids with handshake or above status"""
<|body_0|>
def filter_vacancy_in_years(self, queryse... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PositionFilter:
def filter_available_in_current_bidcycle(self, queryset, name, value):
"""Returns a queryset of all positions who are in the latest active bidcycle and do not have any bids with handshake or above status"""
bidcycle = BidCycle.objects.filter(active=True).latest('cycle_start_dat... | the_stack_v2_python_sparse | talentmap_api/position/filters.py | 18F/State-TalentMAP-API | train | 5 | |
2a56771e62894f6e7641f749f15d054604071868 | [
"maintenance_requests = request.env['maintenance.equipment'].sudo().search([])\nmaintenance_team = request.env['maintenance.team'].sudo().search([])\nuser = request.env.user.id\nemployee = request.env['hr.employee'].sudo().search([('user_id', '=', user)])\nrequest_dict = []\nteam_name = []\nfor record in maintenanc... | <|body_start_0|>
maintenance_requests = request.env['maintenance.equipment'].sudo().search([])
maintenance_team = request.env['maintenance.team'].sudo().search([])
user = request.env.user.id
employee = request.env['hr.employee'].sudo().search([('user_id', '=', user)])
request_dic... | MaintenanceRequest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
<|body_0|>
def send_request(self, **post):
"""Searches for related employee of the currently logged in user. The maintenance ... | stack_v2_sparse_classes_36k_train_033377 | 3,467 | no_license | [
{
"docstring": "Browses all maintenance teams and equipments in backend and returns them to the web page",
"name": "request",
"signature": "def request(self, **post)"
},
{
"docstring": "Searches for related employee of the currently logged in user. The maintenance request is only created if the ... | 2 | stack_v2_sparse_classes_30k_val_000061 | Implement the Python class `MaintenanceRequest` described below.
Class description:
Implement the MaintenanceRequest class.
Method signatures and docstrings:
- def request(self, **post): Browses all maintenance teams and equipments in backend and returns them to the web page
- def send_request(self, **post): Searches... | Implement the Python class `MaintenanceRequest` described below.
Class description:
Implement the MaintenanceRequest class.
Method signatures and docstrings:
- def request(self, **post): Browses all maintenance teams and equipments in backend and returns them to the web page
- def send_request(self, **post): Searches... | bb6453404e4f28060643f23c1c6311587f7d2925 | <|skeleton|>
class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
<|body_0|>
def send_request(self, **post):
"""Searches for related employee of the currently logged in user. The maintenance ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
maintenance_requests = request.env['maintenance.equipment'].sudo().search([])
maintenance_team = request.env['maintenance.team'].sudo().search([... | the_stack_v2_python_sparse | website_maintenance_hr/controllers/controllers.py | aaltinisik/CybroAddons | train | 1 | |
439092842f45eac0e5acdf36221db19a811828e0 | [
"self.mixing_ratio = np.array([0.1, 0.2, 0.3], dtype=np.float32)\nself.specific_heat = np.array([1089.5, 1174.0, 1258.5], dtype=np.float32)\nself.latent_heat = np.array([2531771.0, 2508371.0, 2484971.0], dtype=np.float32)\nself.temperature = np.array([185.0, 260.65, 338.15], dtype=np.float32)",
"expected = np.arr... | <|body_start_0|>
self.mixing_ratio = np.array([0.1, 0.2, 0.3], dtype=np.float32)
self.specific_heat = np.array([1089.5, 1174.0, 1258.5], dtype=np.float32)
self.latent_heat = np.array([2531771.0, 2508371.0, 2484971.0], dtype=np.float32)
self.temperature = np.array([185.0, 260.65, 338.15],... | Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc | Test_psychrometric_variables | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_psychrometric_variables:
"""Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc"""
def setUp(self):
"""Set up shared input data"""
<|body_0|>
def test_calculate_specific_heat(self):
"""Test specific heat calculation"""
... | stack_v2_sparse_classes_36k_train_033378 | 11,562 | permissive | [
{
"docstring": "Set up shared input data",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test specific heat calculation",
"name": "test_calculate_specific_heat",
"signature": "def test_calculate_specific_heat(self)"
},
{
"docstring": "Basic calculation of som... | 4 | stack_v2_sparse_classes_30k_train_013982 | Implement the Python class `Test_psychrometric_variables` described below.
Class description:
Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc
Method signatures and docstrings:
- def setUp(self): Set up shared input data
- def test_calculate_specific_heat(self): Test specific heat ... | Implement the Python class `Test_psychrometric_variables` described below.
Class description:
Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc
Method signatures and docstrings:
- def setUp(self): Set up shared input data
- def test_calculate_specific_heat(self): Test specific heat ... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_psychrometric_variables:
"""Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc"""
def setUp(self):
"""Set up shared input data"""
<|body_0|>
def test_calculate_specific_heat(self):
"""Test specific heat calculation"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_psychrometric_variables:
"""Test calculations of one-line variables: svp in air, latent heat, mixing ratios, etc"""
def setUp(self):
"""Set up shared input data"""
self.mixing_ratio = np.array([0.1, 0.2, 0.3], dtype=np.float32)
self.specific_heat = np.array([1089.5, 1174.0, 1... | the_stack_v2_python_sparse | improver_tests/psychrometric_calculations/wet_bulb_temperature/test_WetBulbTemperature.py | metoppv/improver | train | 101 |
90be4e4f890b28942af4a8f24311f8e105ab6a03 | [
"if not len(times) == len(values):\n raise PaaError('Lengths of times and values did not match')\nself.t = np.array(times)\nself.v = np.array(values)",
"v = self.v\nt = self.t\nstart_pos = 0\nend_pos = 0\nwhile start_pos < len(t):\n t_start = t[start_pos]\n end_pos = np.searchsorted(t[start_pos:], t_star... | <|body_start_0|>
if not len(times) == len(values):
raise PaaError('Lengths of times and values did not match')
self.t = np.array(times)
self.v = np.array(values)
<|end_body_0|>
<|body_start_1|>
v = self.v
t = self.t
start_pos = 0
end_pos = 0
w... | Paa | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Paa:
def __init__(self, times, values):
"""Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values (numpy.Array): values"""
<|body_0|>
def paa(self, interval):
"""Calcul... | stack_v2_sparse_classes_36k_train_033379 | 1,451 | no_license | [
{
"docstring": "Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values (numpy.Array): values",
"name": "__init__",
"signature": "def __init__(self, times, values)"
},
{
"docstring": "Calculate PAA.... | 2 | stack_v2_sparse_classes_30k_train_014496 | Implement the Python class `Paa` described below.
Class description:
Implement the Paa class.
Method signatures and docstrings:
- def __init__(self, times, values): Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values... | Implement the Python class `Paa` described below.
Class description:
Implement the Paa class.
Method signatures and docstrings:
- def __init__(self, times, values): Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values... | c1a9bcd9e40837ceb267b454b7ebdd541dd7368b | <|skeleton|>
class Paa:
def __init__(self, times, values):
"""Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values (numpy.Array): values"""
<|body_0|>
def paa(self, interval):
"""Calcul... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Paa:
def __init__(self, times, values):
"""Prepare a PAA (Piecewise Aggregate Approximation) object to calculate PAA of a given dataset Args: times (numpy.Array): epoch times in millisecods values (numpy.Array): values"""
if not len(times) == len(values):
raise PaaError('Lengths of... | the_stack_v2_python_sparse | services/sax/sax/paa.py | t0mmyt/msc-mk2 | train | 0 | |
191f0a9757d2661a8c4edc560051284288866f28 | [
"self._para_limit = para_limit\nself._ques_limit = ques_limit\nself._char_limit = char_limit\nself._word_vocab = word_vocab\nself._char_vocab = char_vocab\nself._is_cased_embedding = is_cased_embedding",
"if not self._is_cased_embedding:\n return self._word_vocab[[word.lower() for word in words]]\nresult = np.... | <|body_start_0|>
self._para_limit = para_limit
self._ques_limit = ques_limit
self._char_limit = char_limit
self._word_vocab = word_vocab
self._char_vocab = char_vocab
self._is_cased_embedding = is_cased_embedding
<|end_body_0|>
<|body_start_1|>
if not self._is_ca... | Class that converts tokenized examples into featurized | SQuADDataFeaturizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SQuADDataFeaturizer:
"""Class that converts tokenized examples into featurized"""
def __init__(self, word_vocab, char_vocab, para_limit, ques_limit, char_limit, is_cased_embedding):
"""Init SQuADDataFeaturizer object Parameters ---------- word_vocab : Vocab Word-level vocabulary char... | stack_v2_sparse_classes_36k_train_033380 | 37,229 | permissive | [
{
"docstring": "Init SQuADDataFeaturizer object Parameters ---------- word_vocab : Vocab Word-level vocabulary char_vocab : Vocab Char-level vocabulary para_limit : int Maximum characters in a paragraph ques_limit : int Maximum characters in a question char_limit : int Maximum characters in a token is_cased_emb... | 3 | stack_v2_sparse_classes_30k_test_000004 | Implement the Python class `SQuADDataFeaturizer` described below.
Class description:
Class that converts tokenized examples into featurized
Method signatures and docstrings:
- def __init__(self, word_vocab, char_vocab, para_limit, ques_limit, char_limit, is_cased_embedding): Init SQuADDataFeaturizer object Parameters... | Implement the Python class `SQuADDataFeaturizer` described below.
Class description:
Class that converts tokenized examples into featurized
Method signatures and docstrings:
- def __init__(self, word_vocab, char_vocab, para_limit, ques_limit, char_limit, is_cased_embedding): Init SQuADDataFeaturizer object Parameters... | 1d54ad8058ec4f8d54b8585ef0819d39140fa74c | <|skeleton|>
class SQuADDataFeaturizer:
"""Class that converts tokenized examples into featurized"""
def __init__(self, word_vocab, char_vocab, para_limit, ques_limit, char_limit, is_cased_embedding):
"""Init SQuADDataFeaturizer object Parameters ---------- word_vocab : Vocab Word-level vocabulary char... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SQuADDataFeaturizer:
"""Class that converts tokenized examples into featurized"""
def __init__(self, word_vocab, char_vocab, para_limit, ques_limit, char_limit, is_cased_embedding):
"""Init SQuADDataFeaturizer object Parameters ---------- word_vocab : Vocab Word-level vocabulary char_vocab : Voca... | the_stack_v2_python_sparse | scripts/question_answering/data_pipeline.py | MoisesHer/gluon-nlp | train | 1 |
2d3ff3d774d3fb15eebdf3e159e3f2f4b9f12ddc | [
"name = cls.__name__.lower()\nif name.endswith('view'):\n name = name[:-4]\nreturn name",
"def decorator(cls):\n name = endpoint or getattr(cls, 'endpoint', None)\n if name is None:\n name = self._get_endpoint_name(cls)\n self.add_url_rule(rule, view_func=cls.as_view(name), **kwargs)\n retur... | <|body_start_0|>
name = cls.__name__.lower()
if name.endswith('view'):
name = name[:-4]
return name
<|end_body_0|>
<|body_start_1|>
def decorator(cls):
name = endpoint or getattr(cls, 'endpoint', None)
if name is None:
name = self._get... | Extends the base Flask Blueprint | Blueprint | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Blueprint:
"""Extends the base Flask Blueprint"""
def _get_endpoint_name(cls):
"""Get a sensible endpoint name from a MethodView class"""
<|body_0|>
def route_class(self, rule='', endpoint=None, **kwargs):
"""Adds a class based view to a blueprint The endpoint na... | stack_v2_sparse_classes_36k_train_033381 | 6,490 | permissive | [
{
"docstring": "Get a sensible endpoint name from a MethodView class",
"name": "_get_endpoint_name",
"signature": "def _get_endpoint_name(cls)"
},
{
"docstring": "Adds a class based view to a blueprint The endpoint name is fetched from: - The endpoint argument given to route_class() - The endpoi... | 2 | stack_v2_sparse_classes_30k_train_006025 | Implement the Python class `Blueprint` described below.
Class description:
Extends the base Flask Blueprint
Method signatures and docstrings:
- def _get_endpoint_name(cls): Get a sensible endpoint name from a MethodView class
- def route_class(self, rule='', endpoint=None, **kwargs): Adds a class based view to a blue... | Implement the Python class `Blueprint` described below.
Class description:
Extends the base Flask Blueprint
Method signatures and docstrings:
- def _get_endpoint_name(cls): Get a sensible endpoint name from a MethodView class
- def route_class(self, rule='', endpoint=None, **kwargs): Adds a class based view to a blue... | 6e6e9715b96005f0b23889fd1d8068f632aefb50 | <|skeleton|>
class Blueprint:
"""Extends the base Flask Blueprint"""
def _get_endpoint_name(cls):
"""Get a sensible endpoint name from a MethodView class"""
<|body_0|>
def route_class(self, rule='', endpoint=None, **kwargs):
"""Adds a class based view to a blueprint The endpoint na... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Blueprint:
"""Extends the base Flask Blueprint"""
def _get_endpoint_name(cls):
"""Get a sensible endpoint name from a MethodView class"""
name = cls.__name__.lower()
if name.endswith('view'):
name = name[:-4]
return name
def route_class(self, rule='', endp... | the_stack_v2_python_sparse | tentd/lib/flask.py | pytent/pytentd | train | 3 |
31b154925f9a604c62bb35e5799899b58b3f24d8 | [
"self.shared_state_key = kwargs.pop('shared_state_key', None)\nif self.shared_state_key is None:\n raise ValueError('No shared_state_key provided!')\nsuper().__init__(**kwargs)",
"data = self.context.shared_state.get(self.shared_state_key, b'{}')\nformatted_data = self._format_data(data)\nreturn formatted_data... | <|body_start_0|>
self.shared_state_key = kwargs.pop('shared_state_key', None)
if self.shared_state_key is None:
raise ValueError('No shared_state_key provided!')
super().__init__(**kwargs)
<|end_body_0|>
<|body_start_1|>
data = self.context.shared_state.get(self.shared_state... | This class defines a strategy for the agent. | Strategy | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Strategy:
"""This class defines a strategy for the agent."""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the strategy of the agent. :param kwargs: keyword arguments"""
<|body_0|>
def collect_from_data_source(self) -> Dict[str, str]:
"""Build the data... | stack_v2_sparse_classes_36k_train_033382 | 2,518 | permissive | [
{
"docstring": "Initialize the strategy of the agent. :param kwargs: keyword arguments",
"name": "__init__",
"signature": "def __init__(self, **kwargs: Any) -> None"
},
{
"docstring": "Build the data payload. :return: a dict of the data found in the shared state.",
"name": "collect_from_data... | 3 | null | Implement the Python class `Strategy` described below.
Class description:
This class defines a strategy for the agent.
Method signatures and docstrings:
- def __init__(self, **kwargs: Any) -> None: Initialize the strategy of the agent. :param kwargs: keyword arguments
- def collect_from_data_source(self) -> Dict[str,... | Implement the Python class `Strategy` described below.
Class description:
This class defines a strategy for the agent.
Method signatures and docstrings:
- def __init__(self, **kwargs: Any) -> None: Initialize the strategy of the agent. :param kwargs: keyword arguments
- def collect_from_data_source(self) -> Dict[str,... | bec49adaeba661d8d0f03ac9935dc89f39d95a0d | <|skeleton|>
class Strategy:
"""This class defines a strategy for the agent."""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the strategy of the agent. :param kwargs: keyword arguments"""
<|body_0|>
def collect_from_data_source(self) -> Dict[str, str]:
"""Build the data... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Strategy:
"""This class defines a strategy for the agent."""
def __init__(self, **kwargs: Any) -> None:
"""Initialize the strategy of the agent. :param kwargs: keyword arguments"""
self.shared_state_key = kwargs.pop('shared_state_key', None)
if self.shared_state_key is None:
... | the_stack_v2_python_sparse | packages/fetchai/skills/simple_seller/strategy.py | fetchai/agents-aea | train | 192 |
fca13e569fe6ea5faa14a61146b874364f31086d | [
"Handler.__init__(self, config)\nself.log_token = self.config.get('log_token', None)\nself.queue_size = int(self.config['queue_size'])\nself.queue = deque([])\nif self.log_token is None:\n raise Exception",
"config = super(LogentriesDiamondHandler, self).get_default_config_help()\nconfig.update({'log_token': '... | <|body_start_0|>
Handler.__init__(self, config)
self.log_token = self.config.get('log_token', None)
self.queue_size = int(self.config['queue_size'])
self.queue = deque([])
if self.log_token is None:
raise Exception
<|end_body_0|>
<|body_start_1|>
config = sup... | Implements the abstract Handler class | LogentriesDiamondHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogentriesDiamondHandler:
"""Implements the abstract Handler class"""
def __init__(self, config=None):
"""New instance of LogentriesDiamondHandler class"""
<|body_0|>
def get_default_config_help(self):
"""Help text"""
<|body_1|>
def get_default_confi... | stack_v2_sparse_classes_36k_train_033383 | 2,341 | permissive | [
{
"docstring": "New instance of LogentriesDiamondHandler class",
"name": "__init__",
"signature": "def __init__(self, config=None)"
},
{
"docstring": "Help text",
"name": "get_default_config_help",
"signature": "def get_default_config_help(self)"
},
{
"docstring": "Return default... | 5 | null | Implement the Python class `LogentriesDiamondHandler` described below.
Class description:
Implements the abstract Handler class
Method signatures and docstrings:
- def __init__(self, config=None): New instance of LogentriesDiamondHandler class
- def get_default_config_help(self): Help text
- def get_default_config(se... | Implement the Python class `LogentriesDiamondHandler` described below.
Class description:
Implements the abstract Handler class
Method signatures and docstrings:
- def __init__(self, config=None): New instance of LogentriesDiamondHandler class
- def get_default_config_help(self): Help text
- def get_default_config(se... | 461caf29e84db8cbf46f9fc4c895f56353e10c61 | <|skeleton|>
class LogentriesDiamondHandler:
"""Implements the abstract Handler class"""
def __init__(self, config=None):
"""New instance of LogentriesDiamondHandler class"""
<|body_0|>
def get_default_config_help(self):
"""Help text"""
<|body_1|>
def get_default_confi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LogentriesDiamondHandler:
"""Implements the abstract Handler class"""
def __init__(self, config=None):
"""New instance of LogentriesDiamondHandler class"""
Handler.__init__(self, config)
self.log_token = self.config.get('log_token', None)
self.queue_size = int(self.config[... | the_stack_v2_python_sparse | src/diamond/handler/logentries_diamond.py | python-diamond/Diamond | train | 1,874 |
98c80389e6ee2255af75371286c908275f788e6c | [
"results = {}\nif cls.return_expr.match(node, results):\n return True\nfor child in node.children:\n if child.type not in (syms.funcdef, syms.classdef):\n if cls.has_return_exprs(child):\n return True\nreturn False",
"text = text.strip()\nif not text:\n return Node(syms.file_input, [Lea... | <|body_start_0|>
results = {}
if cls.return_expr.match(node, results):
return True
for child in node.children:
if child.type not in (syms.funcdef, syms.classdef):
if cls.has_return_exprs(child):
return True
return False
<|end_bo... | Utility functions for working with Nodes. | Util | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Util:
"""Utility functions for working with Nodes."""
def has_return_exprs(cls, node):
"""Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or 'return expr' is found, False otherwise."""
<|bo... | stack_v2_sparse_classes_36k_train_033384 | 29,305 | permissive | [
{
"docstring": "Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or 'return expr' is found, False otherwise.",
"name": "has_return_exprs",
"signature": "def has_return_exprs(cls, node)"
},
{
"docstring": "Use l... | 2 | stack_v2_sparse_classes_30k_train_010444 | Implement the Python class `Util` described below.
Class description:
Utility functions for working with Nodes.
Method signatures and docstrings:
- def has_return_exprs(cls, node): Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or... | Implement the Python class `Util` described below.
Class description:
Utility functions for working with Nodes.
Method signatures and docstrings:
- def has_return_exprs(cls, node): Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or... | 44b1f6f7cddccb326abac4c21b4f26688369764e | <|skeleton|>
class Util:
"""Utility functions for working with Nodes."""
def has_return_exprs(cls, node):
"""Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or 'return expr' is found, False otherwise."""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Util:
"""Utility functions for working with Nodes."""
def has_return_exprs(cls, node):
"""Traverse the tree below node looking for 'return expr'. Args: node: The AST node at the root of the subtree. Returns: True if 'return' or 'return expr' is found, False otherwise."""
results = {}
... | the_stack_v2_python_sparse | pytype/tools/merge_pyi/merge_pyi.py | priyansh19/pytype | train | 2 |
0bcb7d6d7d90d3232f7425f31387dde1980d2d6d | [
"if head is None:\n return None\nif head.next is None:\n return head\nhead_copy = head\nwhile head.next.next:\n head = head.next\nlast_node = head.next\nhead.next = None\nlast_node.next = self.reverseList(head_copy)\nreturn last_node",
"if head is None:\n return None\nheader = ListNode(-999)\nheader.n... | <|body_start_0|>
if head is None:
return None
if head.next is None:
return head
head_copy = head
while head.next.next:
head = head.next
last_node = head.next
head.next = None
last_node.next = self.reverseList(head_copy)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseBetween(self, head, m, n):
""":type head: ListNode :type m: int :type n: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if... | stack_v2_sparse_classes_36k_train_033385 | 1,843 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList",
"signature": "def reverseList(self, head)"
},
{
"docstring": ":type head: ListNode :type m: int :type n: int :rtype: ListNode",
"name": "reverseBetween",
"signature": "def reverseBetween(self, head, m, n)"
}... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseBetween(self, head, m, n): :type head: ListNode :type m: int :type n: int :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): :type head: ListNode :rtype: ListNode
- def reverseBetween(self, head, m, n): :type head: ListNode :type m: int :type n: int :rtype: ListNode
<|skel... | 5664a83b0bbb3ae37a88c52dbbc28a3e60c16020 | <|skeleton|>
class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseBetween(self, head, m, n):
""":type head: ListNode :type m: int :type n: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList(self, head):
""":type head: ListNode :rtype: ListNode"""
if head is None:
return None
if head.next is None:
return head
head_copy = head
while head.next.next:
head = head.next
last_node = head.next
... | the_stack_v2_python_sparse | codes/MartinMa28/python3/0092_reverse_linked_list_2.py | neu-velocity/code-camp-debut | train | 5 | |
56b1da541bb8cca70306510fc8dafc9dd4a818b9 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn DelegatedAdminRelationshipRequest()",
"from .delegated_admin_relationship_request_action import DelegatedAdminRelationshipRequestAction\nfrom .delegated_admin_relationship_request_status import DelegatedAdminRelationshipRequestStatus\n... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return DelegatedAdminRelationshipRequest()
<|end_body_0|>
<|body_start_1|>
from .delegated_admin_relationship_request_action import DelegatedAdminRelationshipRequestAction
from .delegated_admin... | DelegatedAdminRelationshipRequest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DelegatedAdminRelationshipRequest:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedAdminRelationshipRequest:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_36k_train_033386 | 3,825 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: DelegatedAdminRelationshipRequest",
"name": "create_from_discriminator_value",
"signature": "def create_from... | 3 | stack_v2_sparse_classes_30k_train_004468 | Implement the Python class `DelegatedAdminRelationshipRequest` described below.
Class description:
Implement the DelegatedAdminRelationshipRequest class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedAdminRelationshipRequest: Creates a new in... | Implement the Python class `DelegatedAdminRelationshipRequest` described below.
Class description:
Implement the DelegatedAdminRelationshipRequest class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedAdminRelationshipRequest: Creates a new in... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class DelegatedAdminRelationshipRequest:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedAdminRelationshipRequest:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DelegatedAdminRelationshipRequest:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedAdminRelationshipRequest:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and... | the_stack_v2_python_sparse | msgraph/generated/models/delegated_admin_relationship_request.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
037b940fe4291be01c39290c594952d90b365fd5 | [
"self.name = name\nself.proto = proto\nself.data = data\nks = keeping.Keeper(name=self.name, temp=False)\nself.ksDoer = keeping.KeeperDoer(keeper=ks)\ndb = basing.Baser(name=self.name, temp=False, reload=True)\nself.dbDoer = basing.BaserDoer(baser=db)\nself.hab = habbing.Habitat(name=self.name, ks=ks, db=db, temp=F... | <|body_start_0|>
self.name = name
self.proto = proto
self.data = data
ks = keeping.Keeper(name=self.name, temp=False)
self.ksDoer = keeping.KeeperDoer(keeper=ks)
db = basing.Baser(name=self.name, temp=False, reload=True)
self.dbDoer = basing.BaserDoer(baser=db)
... | DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses | InteractDoer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InteractDoer:
"""DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses"""
def __init__(self, name, proto, data: list=None):
"""Returns DoDoer with all registered Doers needed to perform interaction event. Parameters... | stack_v2_sparse_classes_36k_train_033387 | 4,389 | permissive | [
{
"docstring": "Returns DoDoer with all registered Doers needed to perform interaction event. Parameters: name is human readable str of identifier proto is tcp or http method for communicating with Witness data is list of dicts of committed data such as seals",
"name": "__init__",
"signature": "def __in... | 2 | null | Implement the Python class `InteractDoer` described below.
Class description:
DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses
Method signatures and docstrings:
- def __init__(self, name, proto, data: list=None): Returns DoDoer with all registe... | Implement the Python class `InteractDoer` described below.
Class description:
DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses
Method signatures and docstrings:
- def __init__(self, name, proto, data: list=None): Returns DoDoer with all registe... | 467f952912b17dede8a8f4ebce73241408b63e8c | <|skeleton|>
class InteractDoer:
"""DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses"""
def __init__(self, name, proto, data: list=None):
"""Returns DoDoer with all registered Doers needed to perform interaction event. Parameters... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InteractDoer:
"""DoDoer that launches Doers needed to create an interaction event and publication of the event to all appropriate witnesses"""
def __init__(self, name, proto, data: list=None):
"""Returns DoDoer with all registered Doers needed to perform interaction event. Parameters: name is hum... | the_stack_v2_python_sparse | src/keri/app/cli/commands/interact.py | dlandi/keripy-1 | train | 0 |
1f9abfc2b2e3389924d02d87ffc02caf2d3b2d71 | [
"if end not in bank:\n return -1\nqueue = deque([(start, 0)])\nvisited = set([start])\nwhile queue:\n v, step = queue.popleft()\n if v == end:\n return step\n for i in range(8):\n for c in 'ACGT':\n n = v[:i] + c + v[i + 1:]\n if n in bank and n not in visited:\n ... | <|body_start_0|>
if end not in bank:
return -1
queue = deque([(start, 0)])
visited = set([start])
while queue:
v, step = queue.popleft()
if v == end:
return step
for i in range(8):
for c in 'ACGT':
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minMutation(self, start, end, bank):
""":type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母"ACGT"，当突变后的字符串在bank中就step+1，终止条件就是突变后的字符串==end。其中增加visited来保存已经遇到过的有效 突变字符串，以增加运算速度。 Runtime: 12 ... | stack_v2_sparse_classes_36k_train_033388 | 2,730 | no_license | [
{
"docstring": ":type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母\"ACGT\"，当突变后的字符串在bank中就step+1，终止条件就是突变后的字符串==end。其中增加visited来保存已经遇到过的有效 突变字符串，以增加运算速度。 Runtime: 12 ms, faster than 88.32% of Python online submissions for Mini... | 2 | stack_v2_sparse_classes_30k_train_014415 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMutation(self, start, end, bank): :type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母"... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minMutation(self, start, end, bank): :type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母"... | bad06f681d8d3f2b841cb3c8a969198b8643f864 | <|skeleton|>
class Solution:
def minMutation(self, start, end, bank):
""":type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母"ACGT"，当突变后的字符串在bank中就step+1，终止条件就是突变后的字符串==end。其中增加visited来保存已经遇到过的有效 突变字符串，以增加运算速度。 Runtime: 12 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minMutation(self, start, end, bank):
""":type start: str :type end: str :type bank: List[str] :rtype: int bfs思想,队列中保持每个遍历的有效字符串和其突变的基因个数元组，即（start, step）元组。类似走迷宫，四个方向就是可变的四 个字母"ACGT"，当突变后的字符串在bank中就step+1，终止条件就是突变后的字符串==end。其中增加visited来保存已经遇到过的有效 突变字符串，以增加运算速度。 Runtime: 12 ms, faster tha... | the_stack_v2_python_sparse | 433_mini_genetic_mutation.py | subicWang/leetcode_aotang | train | 0 | |
fac4bbd5aeead4d418ed6febd646313290cb0202 | [
"try:\n return OaiHarvesterMetadataFormatSet.objects.get(harvester_metadata_format=oai_harvester_metadata_format, harvester_set=oai_harvester_set)\nexcept mongoengine_errors.DoesNotExist as e:\n raise exceptions.DoesNotExist(str(e))\nexcept Exception as e:\n raise exceptions.ModelError(str(e))",
"try:\n ... | <|body_start_0|>
try:
return OaiHarvesterMetadataFormatSet.objects.get(harvester_metadata_format=oai_harvester_metadata_format, harvester_set=oai_harvester_set)
except mongoengine_errors.DoesNotExist as e:
raise exceptions.DoesNotExist(str(e))
except Exception as e:
... | Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet | OaiHarvesterMetadataFormatSet | [
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OaiHarvesterMetadataFormatSet:
"""Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet"""
def get_by_metadata_format_and_set(oai_harvester_metadata_format, oai_harvester_set):
"""Get an OaiHarvesterMetadataFormatSet by its OaiHarvesterMetadataFormat and OaiHarvest... | stack_v2_sparse_classes_36k_train_033389 | 2,525 | permissive | [
{
"docstring": "Get an OaiHarvesterMetadataFormatSet by its OaiHarvesterMetadataFormat and OaiHarvesterSet. Args: oai_harvester_metadata_format: oai_harvester_set: Returns: OaiHarvesterMetadataFormatSet instance.",
"name": "get_by_metadata_format_and_set",
"signature": "def get_by_metadata_format_and_se... | 2 | stack_v2_sparse_classes_30k_train_020831 | Implement the Python class `OaiHarvesterMetadataFormatSet` described below.
Class description:
Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet
Method signatures and docstrings:
- def get_by_metadata_format_and_set(oai_harvester_metadata_format, oai_harvester_set): Get an OaiHarvesterMetadataF... | Implement the Python class `OaiHarvesterMetadataFormatSet` described below.
Class description:
Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet
Method signatures and docstrings:
- def get_by_metadata_format_and_set(oai_harvester_metadata_format, oai_harvester_set): Get an OaiHarvesterMetadataF... | e41fd9c5a75b51dc626995e753a5840f238a557d | <|skeleton|>
class OaiHarvesterMetadataFormatSet:
"""Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet"""
def get_by_metadata_format_and_set(oai_harvester_metadata_format, oai_harvester_set):
"""Get an OaiHarvesterMetadataFormatSet by its OaiHarvesterMetadataFormat and OaiHarvest... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OaiHarvesterMetadataFormatSet:
"""Association table between OaiHarvesterMetadataFormat and OaiHarvesterSet"""
def get_by_metadata_format_and_set(oai_harvester_metadata_format, oai_harvester_set):
"""Get an OaiHarvesterMetadataFormatSet by its OaiHarvesterMetadataFormat and OaiHarvesterSet. Args: ... | the_stack_v2_python_sparse | core_oaipmh_harvester_app/components/oai_harvester_metadata_format_set/models.py | faical-yannick-congo/core_oaipmh_harvester_app | train | 0 |
da814904d40b66b3e6bd2b8a43af2e420a90ad77 | [
"super(EncoderLayer, self).__init__()\nself.multi_head_attention = MultiHeadAttention(d_model, number_of_heads)\nself.feed_forward_network = point_wise_feed_forward_network(d_model, dff)\nself.normalization_layer1 = tf.keras.layers.LayerNormalization(epsilon=1e-06)\nself.normalization_layer2 = tf.keras.layers.Layer... | <|body_start_0|>
super(EncoderLayer, self).__init__()
self.multi_head_attention = MultiHeadAttention(d_model, number_of_heads)
self.feed_forward_network = point_wise_feed_forward_network(d_model, dff)
self.normalization_layer1 = tf.keras.layers.LayerNormalization(epsilon=1e-06)
s... | Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer | EncoderLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderLayer:
"""Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer"""
def __init__(self, d_model, number_of_heads, dff, rate=0.1):
"""Constructor for encoder layer :param d_model: dime... | stack_v2_sparse_classes_36k_train_033390 | 11,425 | no_license | [
{
"docstring": "Constructor for encoder layer :param d_model: dimension of the word embedding vector :param number_of_heads: number of heads to work in parallel :param dff: inner-layer dimensionality :param rate: dropout rate",
"name": "__init__",
"signature": "def __init__(self, d_model, number_of_head... | 2 | stack_v2_sparse_classes_30k_train_004776 | Implement the Python class `EncoderLayer` described below.
Class description:
Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer
Method signatures and docstrings:
- def __init__(self, d_model, number_of_heads, dff, rate... | Implement the Python class `EncoderLayer` described below.
Class description:
Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer
Method signatures and docstrings:
- def __init__(self, d_model, number_of_heads, dff, rate... | f164c21ed852dfd10a4701f4050d72dc87bd302a | <|skeleton|>
class EncoderLayer:
"""Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer"""
def __init__(self, d_model, number_of_heads, dff, rate=0.1):
"""Constructor for encoder layer :param d_model: dime... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EncoderLayer:
"""Encoder layer consists of multi-head attention followed by normalization layer and point wised feed forward network followed with normalization layer"""
def __init__(self, d_model, number_of_heads, dff, rate=0.1):
"""Constructor for encoder layer :param d_model: dimension of the ... | the_stack_v2_python_sparse | backend/code/transformer_model.py | sovaso/NewsHeadlineGenerator | train | 3 |
b9b149b2b78d9611ce71b794833735cffeeccbfb | [
"if request.method == 'PUT':\n if 'bio' not in data or 'website' not in data:\n raise ValidationError('Missing one or more fields.')",
"if data is None:\n raise ValidationError('No data was provided')\nreturn Artist(**data)"
] | <|body_start_0|>
if request.method == 'PUT':
if 'bio' not in data or 'website' not in data:
raise ValidationError('Missing one or more fields.')
<|end_body_0|>
<|body_start_1|>
if data is None:
raise ValidationError('No data was provided')
return Artist(*... | Class to serialize and deserialize Artist objects. | ArtistSchema | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArtistSchema:
"""Class to serialize and deserialize Artist objects."""
def validate_on_put_request(self, data, **kwargs):
"""Raise a ValidationError if certain fields are not sent during a PUT request."""
<|body_0|>
def make_object(self, data, **kwargs):
"""Retur... | stack_v2_sparse_classes_36k_train_033391 | 1,406 | no_license | [
{
"docstring": "Raise a ValidationError if certain fields are not sent during a PUT request.",
"name": "validate_on_put_request",
"signature": "def validate_on_put_request(self, data, **kwargs)"
},
{
"docstring": "Return an artist object from the validated data.",
"name": "make_object",
... | 2 | stack_v2_sparse_classes_30k_test_000573 | Implement the Python class `ArtistSchema` described below.
Class description:
Class to serialize and deserialize Artist objects.
Method signatures and docstrings:
- def validate_on_put_request(self, data, **kwargs): Raise a ValidationError if certain fields are not sent during a PUT request.
- def make_object(self, d... | Implement the Python class `ArtistSchema` described below.
Class description:
Class to serialize and deserialize Artist objects.
Method signatures and docstrings:
- def validate_on_put_request(self, data, **kwargs): Raise a ValidationError if certain fields are not sent during a PUT request.
- def make_object(self, d... | d5ae552d383f5f971e29a38055c518fc68172f32 | <|skeleton|>
class ArtistSchema:
"""Class to serialize and deserialize Artist objects."""
def validate_on_put_request(self, data, **kwargs):
"""Raise a ValidationError if certain fields are not sent during a PUT request."""
<|body_0|>
def make_object(self, data, **kwargs):
"""Retur... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ArtistSchema:
"""Class to serialize and deserialize Artist objects."""
def validate_on_put_request(self, data, **kwargs):
"""Raise a ValidationError if certain fields are not sent during a PUT request."""
if request.method == 'PUT':
if 'bio' not in data or 'website' not in dat... | the_stack_v2_python_sparse | server/app/api/schemas/artist.py | EricMontague/MailChimp-Newsletter-Project | train | 0 |
e7006182bc3f9a55106d69e7a908bd54208a51d8 | [
"prohibited_url_words = ['index', 'home', 'default']\nerror_message = _(\"Sorry! We're growing fast. That website name is \\n already in use. Please choose another.\")\nregex_validation = RegexValidator(regex='^[\\\\w]+$', message=error_message)\nad_rep_url = self.cleaned_data.get('ad_rep_url', '').lower... | <|body_start_0|>
prohibited_url_words = ['index', 'home', 'default']
error_message = _("Sorry! We're growing fast. That website name is \n already in use. Please choose another.")
regex_validation = RegexValidator(regex='^[\\w]+$', message=error_message)
ad_rep_url = self.clea... | Ad rep url form. | AdRepUrlForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdRepUrlForm:
"""Ad rep url form."""
def clean_ad_rep_url(self):
"""Validate url and check if it is already in use by existing ad reps."""
<|body_0|>
def save(self, ad_rep):
"""Save url to ad rep."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_033392 | 7,830 | no_license | [
{
"docstring": "Validate url and check if it is already in use by existing ad reps.",
"name": "clean_ad_rep_url",
"signature": "def clean_ad_rep_url(self)"
},
{
"docstring": "Save url to ad rep.",
"name": "save",
"signature": "def save(self, ad_rep)"
}
] | 2 | null | Implement the Python class `AdRepUrlForm` described below.
Class description:
Ad rep url form.
Method signatures and docstrings:
- def clean_ad_rep_url(self): Validate url and check if it is already in use by existing ad reps.
- def save(self, ad_rep): Save url to ad rep. | Implement the Python class `AdRepUrlForm` described below.
Class description:
Ad rep url form.
Method signatures and docstrings:
- def clean_ad_rep_url(self): Validate url and check if it is already in use by existing ad reps.
- def save(self, ad_rep): Save url to ad rep.
<|skeleton|>
class AdRepUrlForm:
"""Ad r... | a780ccdc3350d4b5c7990c65d1af8d71060c62cc | <|skeleton|>
class AdRepUrlForm:
"""Ad rep url form."""
def clean_ad_rep_url(self):
"""Validate url and check if it is already in use by existing ad reps."""
<|body_0|>
def save(self, ad_rep):
"""Save url to ad rep."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdRepUrlForm:
"""Ad rep url form."""
def clean_ad_rep_url(self):
"""Validate url and check if it is already in use by existing ad reps."""
prohibited_url_words = ['index', 'home', 'default']
error_message = _("Sorry! We're growing fast. That website name is \n already i... | the_stack_v2_python_sparse | firestorm/forms.py | wcirillo/ten | train | 0 |
71c75b31a09f7d93ea8035a59b9b32f0b482f86a | [
"self.affine_layer = Affine()\nself.relu_layer = ReLU()\nif batch_norm_param is not None:\n self.batch_norm_layer = BatchNorm(eps=batch_norm_param['eps'], momentum=batch_norm_param['momentum'], running_mean=batch_norm_param.get('running_mean', None), running_var=batch_norm_param.get('running_var', None))\nelse:\... | <|body_start_0|>
self.affine_layer = Affine()
self.relu_layer = ReLU()
if batch_norm_param is not None:
self.batch_norm_layer = BatchNorm(eps=batch_norm_param['eps'], momentum=batch_norm_param['momentum'], running_mean=batch_norm_param.get('running_mean', None), running_var=batch_nor... | AffineBatchNormReLU | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AffineBatchNormReLU:
def __init__(self, batch_norm_param=None):
"""Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stability, required - momentum: constant for running mean/variance calculation, required - running_mean: if input... | stack_v2_sparse_classes_36k_train_033393 | 2,695 | no_license | [
{
"docstring": "Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stability, required - momentum: constant for running mean/variance calculation, required - running_mean: if input has shape (N, D), then this is array of shape (D,) - running_var: if input... | 3 | null | Implement the Python class `AffineBatchNormReLU` described below.
Class description:
Implement the AffineBatchNormReLU class.
Method signatures and docstrings:
- def __init__(self, batch_norm_param=None): Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stabi... | Implement the Python class `AffineBatchNormReLU` described below.
Class description:
Implement the AffineBatchNormReLU class.
Method signatures and docstrings:
- def __init__(self, batch_norm_param=None): Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stabi... | 7da789ef34d5e5bcf9033cfbe0ff5df607b2437a | <|skeleton|>
class AffineBatchNormReLU:
def __init__(self, batch_norm_param=None):
"""Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stability, required - momentum: constant for running mean/variance calculation, required - running_mean: if input... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AffineBatchNormReLU:
def __init__(self, batch_norm_param=None):
"""Optional argument: batch_norm_param: A dictionary containing the following keys - eps: constant for numeric stability, required - momentum: constant for running mean/variance calculation, required - running_mean: if input has shape (N,... | the_stack_v2_python_sparse | convolutional_neural_networks/conv_net/composite/affine_batch_norm_relu.py | calvinfeng/machine-learning-notebook | train | 38 | |
7cf58d3906fd27930ab2a46116a517948ff7d12d | [
"tx_power_idx_to_tx_power: Dict = {}\nfor channel, info in hardware_config['tx_power_idx_to_tx_power'].items():\n tx_power_idx_to_tx_power[channel] = {}\n for mcs, tx_data in info.items():\n tx_power_idx_to_tx_power[channel][mcs] = {}\n for tx_power_idx, tx_power in tx_data.items():\n ... | <|body_start_0|>
tx_power_idx_to_tx_power: Dict = {}
for channel, info in hardware_config['tx_power_idx_to_tx_power'].items():
tx_power_idx_to_tx_power[channel] = {}
for mcs, tx_data in info.items():
tx_power_idx_to_tx_power[channel][mcs] = {}
for ... | HardwareConfig | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HardwareConfig:
def set_config(cls, hardware_config: Dict) -> None:
"""Set all hardware config params."""
<|body_0|>
def get_pwr_offset(cls, target_pwr_idx: Optional[int]=None, ref_pwr_idx: Optional[int]=None, channel: Optional[str]=None, mcs: Optional[str]=None) -> int:
... | stack_v2_sparse_classes_36k_train_033394 | 4,491 | permissive | [
{
"docstring": "Set all hardware config params.",
"name": "set_config",
"signature": "def set_config(cls, hardware_config: Dict) -> None"
},
{
"docstring": "Estimate inr offset on target power idx, given inr at reference power idx.",
"name": "get_pwr_offset",
"signature": "def get_pwr_of... | 3 | stack_v2_sparse_classes_30k_train_003332 | Implement the Python class `HardwareConfig` described below.
Class description:
Implement the HardwareConfig class.
Method signatures and docstrings:
- def set_config(cls, hardware_config: Dict) -> None: Set all hardware config params.
- def get_pwr_offset(cls, target_pwr_idx: Optional[int]=None, ref_pwr_idx: Optiona... | Implement the Python class `HardwareConfig` described below.
Class description:
Implement the HardwareConfig class.
Method signatures and docstrings:
- def set_config(cls, hardware_config: Dict) -> None: Set all hardware config params.
- def get_pwr_offset(cls, target_pwr_idx: Optional[int]=None, ref_pwr_idx: Optiona... | 93c0c4bef28c1ed15dc61e9fd340a9faef4902e3 | <|skeleton|>
class HardwareConfig:
def set_config(cls, hardware_config: Dict) -> None:
"""Set all hardware config params."""
<|body_0|>
def get_pwr_offset(cls, target_pwr_idx: Optional[int]=None, ref_pwr_idx: Optional[int]=None, channel: Optional[str]=None, mcs: Optional[str]=None) -> int:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HardwareConfig:
def set_config(cls, hardware_config: Dict) -> None:
"""Set all hardware config params."""
tx_power_idx_to_tx_power: Dict = {}
for channel, info in hardware_config['tx_power_idx_to_tx_power'].items():
tx_power_idx_to_tx_power[channel] = {}
for mcs... | the_stack_v2_python_sparse | scan_service/scan_service/utils/hardware_config.py | terragraph/tgnms | train | 15 | |
e720d7ab130c3b9c9b948ceec477ecb80dabe8db | [
"diff = [g - c for g, c in zip(gas, cost)]\nif sum(diff) < 0:\n return -1\ntank = 0\nlength = len(gas)\nfor index in range(length):\n tmp_index = index\n while True:\n tank += gas[tmp_index]\n tank -= cost[tmp_index]\n if tank < 0:\n break\n tmp_index = (tmp_index + 1... | <|body_start_0|>
diff = [g - c for g, c in zip(gas, cost)]
if sum(diff) < 0:
return -1
tank = 0
length = len(gas)
for index in range(length):
tmp_index = index
while True:
tank += gas[tmp_index]
tank -= cost[tmp_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit2(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_36k_train_033395 | 2,266 | no_license | [
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit",
"signature": "def canCompleteCircuit(self, gas, cost)"
},
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit2",
"signature": "def canCo... | 2 | stack_v2_sparse_classes_30k_train_021143 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit2(self, gas, cost): :type gas: List[int] :type cost: List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit2(self, gas, cost): :type gas: List[int] :type cost: List[... | a8b59573dc201438ebd5a5ab64e9ac61255a4abd | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit2(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
diff = [g - c for g, c in zip(gas, cost)]
if sum(diff) < 0:
return -1
tank = 0
length = len(gas)
for index in range(length):
t... | the_stack_v2_python_sparse | summer/2018_07_21/gas-station.py | shaheming/leecode | train | 0 | |
ed136f158db0dbd2b6f1117708ef09c7b9e3f6d3 | [
"hashmap = defaultdict(int)\nfor i in range(0, len(nums)):\n if hashmap[target - nums[i]] != 0:\n if prev_target not in [i + 1, nums.index(target - nums[i]) + 1]:\n return [i + 1, nums.index(target - nums[i]) + 1]\n hashmap[nums[i]] = 1\nreturn []",
"results = []\nfor i in range(0, len(num... | <|body_start_0|>
hashmap = defaultdict(int)
for i in range(0, len(nums)):
if hashmap[target - nums[i]] != 0:
if prev_target not in [i + 1, nums.index(target - nums[i]) + 1]:
return [i + 1, nums.index(target - nums[i]) + 1]
hashmap[nums[i]] = 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum(self, prev_target, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_033396 | 1,528 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum",
"signature": "def twoSum(self, prev_target, nums, target)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "threeSum",
"signature": "def threeSum(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010073 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum(self, prev_target, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum(self, prev_target, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def threeSum(self, nums): :type nums: List[int] :rtype: List[List[int]]
... | f0eb8d77a71737b677df57b49c27fb6a1b926249 | <|skeleton|>
class Solution:
def twoSum(self, prev_target, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def threeSum(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def twoSum(self, prev_target, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
hashmap = defaultdict(int)
for i in range(0, len(nums)):
if hashmap[target - nums[i]] != 0:
if prev_target not in [i + 1, nums.index(target... | the_stack_v2_python_sparse | ARRAY/pair_sum.py | shelly2904/DSA-Practice | train | 0 | |
60453fcbbf226df7d4d6a33405b9fc37ebb3d6b0 | [
"self.equipment = {'Fins': 'Fins come in many shapes.', 'Mask': 'You always have to carry one extra mask with you.', 'Drysuit': 'Wear a drysuit in cold waters!', 'Bottles': 'Better be careful how you handle them', 'Computer': 'Always do the safety stops', 'Reel': 'Never go cave diving without it', 'Cookies': 'They ... | <|body_start_0|>
self.equipment = {'Fins': 'Fins come in many shapes.', 'Mask': 'You always have to carry one extra mask with you.', 'Drysuit': 'Wear a drysuit in cold waters!', 'Bottles': 'Better be careful how you handle them', 'Computer': 'Always do the safety stops', 'Reel': 'Never go cave diving without it... | Equipment class | Equipment | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Equipment:
"""Equipment class"""
def __init__(self):
"""Initialize game equipment"""
<|body_0|>
def choose_equipment(self):
"""Prints the chosen equipment"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.equipment = {'Fins': 'Fins come in ma... | stack_v2_sparse_classes_36k_train_033397 | 2,871 | no_license | [
{
"docstring": "Initialize game equipment",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Prints the chosen equipment",
"name": "choose_equipment",
"signature": "def choose_equipment(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002617 | Implement the Python class `Equipment` described below.
Class description:
Equipment class
Method signatures and docstrings:
- def __init__(self): Initialize game equipment
- def choose_equipment(self): Prints the chosen equipment | Implement the Python class `Equipment` described below.
Class description:
Equipment class
Method signatures and docstrings:
- def __init__(self): Initialize game equipment
- def choose_equipment(self): Prints the chosen equipment
<|skeleton|>
class Equipment:
"""Equipment class"""
def __init__(self):
... | 44be8376a16ce9cc8c66fe9f61b2203327f9301d | <|skeleton|>
class Equipment:
"""Equipment class"""
def __init__(self):
"""Initialize game equipment"""
<|body_0|>
def choose_equipment(self):
"""Prints the chosen equipment"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Equipment:
"""Equipment class"""
def __init__(self):
"""Initialize game equipment"""
self.equipment = {'Fins': 'Fins come in many shapes.', 'Mask': 'You always have to carry one extra mask with you.', 'Drysuit': 'Wear a drysuit in cold waters!', 'Bottles': 'Better be careful how you handl... | the_stack_v2_python_sparse | lpthw/ex45/equipment.py | io-ma/Zed-Shaw-s-books | train | 1 |
d03817b18ff7246c3819d1184a32db3990788fae | [
"S_lst = list(S)\nJ_lst = list(J)\ncount = 0\nfor j in J_lst:\n for s in S_lst:\n if j == s:\n count += 1\nreturn count",
"S_lst = list(S)\nJ_lst = list(J)\ncount = 0\nfor j in J_lst:\n count += S_lst.count(j)\nreturn count"
] | <|body_start_0|>
S_lst = list(S)
J_lst = list(J)
count = 0
for j in J_lst:
for s in S_lst:
if j == s:
count += 1
return count
<|end_body_0|>
<|body_start_1|>
S_lst = list(S)
J_lst = list(J)
count = 0
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numJewelsInStones(self, J, S):
""":type J: str :type S: str :rtype: int"""
<|body_0|>
def numJewelsInStones_fast(self, J, S):
""":type J: str :type S: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
S_lst = list(S)
... | stack_v2_sparse_classes_36k_train_033398 | 1,474 | no_license | [
{
"docstring": ":type J: str :type S: str :rtype: int",
"name": "numJewelsInStones",
"signature": "def numJewelsInStones(self, J, S)"
},
{
"docstring": ":type J: str :type S: str :rtype: int",
"name": "numJewelsInStones_fast",
"signature": "def numJewelsInStones_fast(self, J, S)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010145 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numJewelsInStones(self, J, S): :type J: str :type S: str :rtype: int
- def numJewelsInStones_fast(self, J, S): :type J: str :type S: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numJewelsInStones(self, J, S): :type J: str :type S: str :rtype: int
- def numJewelsInStones_fast(self, J, S): :type J: str :type S: str :rtype: int
<|skeleton|>
class Solut... | 96e2faaa8c18636c173883cca55b2c228c81477a | <|skeleton|>
class Solution:
def numJewelsInStones(self, J, S):
""":type J: str :type S: str :rtype: int"""
<|body_0|>
def numJewelsInStones_fast(self, J, S):
""":type J: str :type S: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numJewelsInStones(self, J, S):
""":type J: str :type S: str :rtype: int"""
S_lst = list(S)
J_lst = list(J)
count = 0
for j in J_lst:
for s in S_lst:
if j == s:
count += 1
return count
def numJewe... | the_stack_v2_python_sparse | py/JewelsAndStones.py | ZihengZZH/LeetCode | train | 1 | |
aad2d493d2b0b72831f52977cb20e5226e7916d5 | [
"path = '/'.join(['', _zone, 'exp', instrument, experiment, type])\nh.checkAccess(path)\nmodel = IrodsModel()\nruns = []\nfor r in self._allRuns(model, path):\n run_url = h.url_for(action='show', instrument=instrument, experiment=experiment, type=type, runs=str(r), qualified=True)\n runs.append(dict(run=r, ur... | <|body_start_0|>
path = '/'.join(['', _zone, 'exp', instrument, experiment, type])
h.checkAccess(path)
model = IrodsModel()
runs = []
for r in self._allRuns(model, path):
run_url = h.url_for(action='show', instrument=instrument, experiment=experiment, type=type, runs=... | RunsController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunsController:
def index(self, instrument, experiment, type):
"""GET /runs/{instrument}/{experiment}/{type}"""
<|body_0|>
def show(self, instrument, experiment, type, runs):
"""GET /runs/{instrument}/{experiment}/{type}/{runs}"""
<|body_1|>
def _runList... | stack_v2_sparse_classes_36k_train_033399 | 5,244 | no_license | [
{
"docstring": "GET /runs/{instrument}/{experiment}/{type}",
"name": "index",
"signature": "def index(self, instrument, experiment, type)"
},
{
"docstring": "GET /runs/{instrument}/{experiment}/{type}/{runs}",
"name": "show",
"signature": "def show(self, instrument, experiment, type, run... | 4 | null | Implement the Python class `RunsController` described below.
Class description:
Implement the RunsController class.
Method signatures and docstrings:
- def index(self, instrument, experiment, type): GET /runs/{instrument}/{experiment}/{type}
- def show(self, instrument, experiment, type, runs): GET /runs/{instrument}... | Implement the Python class `RunsController` described below.
Class description:
Implement the RunsController class.
Method signatures and docstrings:
- def index(self, instrument, experiment, type): GET /runs/{instrument}/{experiment}/{type}
- def show(self, instrument, experiment, type, runs): GET /runs/{instrument}... | f32870a987a7493e7bf0f0a5c1712a5a030ef199 | <|skeleton|>
class RunsController:
def index(self, instrument, experiment, type):
"""GET /runs/{instrument}/{experiment}/{type}"""
<|body_0|>
def show(self, instrument, experiment, type, runs):
"""GET /runs/{instrument}/{experiment}/{type}/{runs}"""
<|body_1|>
def _runList... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunsController:
def index(self, instrument, experiment, type):
"""GET /runs/{instrument}/{experiment}/{type}"""
path = '/'.join(['', _zone, 'exp', instrument, experiment, type])
h.checkAccess(path)
model = IrodsModel()
runs = []
for r in self._allRuns(model, pat... | the_stack_v2_python_sparse | iRODSAccess/tags/V00-00-03/web/irodsws/controllers/runs.py | connectthefuture/psdmrepo | train | 0 |
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