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
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
58223a5755289cb41d090f31f16a1f492c9f3b46 | [
"sampleAtom = atoms[-1]\nself.atoms = []\nself.name = sampleAtom.resName\nself.chainID = sampleAtom.chainID\nself.resSeq = sampleAtom.resSeq\nself.iCode = sampleAtom.iCode\nself.fixed = 0\nself.ffname = 'WAT'\nself.map = {}\nself.reference = ref\nfor a in atoms:\n if a.name in ref.altnames:\n a.name = ref... | <|body_start_0|>
sampleAtom = atoms[-1]
self.atoms = []
self.name = sampleAtom.resName
self.chainID = sampleAtom.chainID
self.resSeq = sampleAtom.resSeq
self.iCode = sampleAtom.iCode
self.fixed = 0
self.ffname = 'WAT'
self.map = {}
self.ref... | Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class. | LIG | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LIG:
"""Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class."""
def __init__(self, atoms, ref):
"""Initialize the class Parameters atoms: A list of Atom objects to be stored in this class (list)"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_019800 | 22,508 | permissive | [
{
"docstring": "Initialize the class Parameters atoms: A list of Atom objects to be stored in this class (list)",
"name": "__init__",
"signature": "def __init__(self, atoms, ref)"
},
{
"docstring": "Create a water atom. Note the HETATM field. Parameters atomname: The name of the atom (string) ne... | 3 | stack_v2_sparse_classes_30k_train_010266 | Implement the Python class `LIG` described below.
Class description:
Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class.
Method signatures and docstrings:
- def __init__(self, atoms, ref): Initialize the class Parameters atoms: A list of Atom objects to... | Implement the Python class `LIG` described below.
Class description:
Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class.
Method signatures and docstrings:
- def __init__(self, atoms, ref): Initialize the class Parameters atoms: A list of Atom objects to... | a50f0b2f7104007c730baa51b4ec65c891008c47 | <|skeleton|>
class LIG:
"""Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class."""
def __init__(self, atoms, ref):
"""Initialize the class Parameters atoms: A list of Atom objects to be stored in this class (list)"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LIG:
"""Generic ligand class This class gives data about the generic ligand object, and inherits off the base residue class."""
def __init__(self, atoms, ref):
"""Initialize the class Parameters atoms: A list of Atom objects to be stored in this class (list)"""
sampleAtom = atoms[-1]
... | the_stack_v2_python_sparse | mscreen/autodocktools_prepare_py3k/MolKit/pdb2pqr/src/aa.py | e-mayo/mscreen | train | 10 |
9087ab9d342e65b3fad1226bd2fccbec7309f88d | [
"parser = reqparse.RequestParser()\nqueries = parse_request_args_keys(request)\nfor _ in queries:\n parser.add_argument(_)\niargs = parser.parse_args()\nusers = User.query.filter_by(**iargs).all()\nreturn users_schema.dump(users)",
"parser = reqparse.RequestParser()\npost_keys = parse_request_json_keys(request... | <|body_start_0|>
parser = reqparse.RequestParser()
queries = parse_request_args_keys(request)
for _ in queries:
parser.add_argument(_)
iargs = parser.parse_args()
users = User.query.filter_by(**iargs).all()
return users_schema.dump(users)
<|end_body_0|>
<|bod... | UserList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserList:
def get(self):
"""Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { "updated_time": "2020-06-18T22:35:12", "name": null, "id": "0ede8bb172ac4c56beed11c978a53fb3", "created_time": "2020-06-18T22:35:12", "email": null, "phone": null, "ge... | stack_v2_sparse_classes_36k_train_019801 | 3,749 | no_license | [
{
"docstring": "Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { \"updated_time\": \"2020-06-18T22:35:12\", \"name\": null, \"id\": \"0ede8bb172ac4c56beed11c978a53fb3\", \"created_time\": \"2020-06-18T22:35:12\", \"email\": null, \"phone\": null, \"gender\": null, \"u... | 2 | stack_v2_sparse_classes_30k_train_002947 | Implement the Python class `UserList` described below.
Class description:
Implement the UserList class.
Method signatures and docstrings:
- def get(self): Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { "updated_time": "2020-06-18T22:35:12", "name": null, "id": "0ede8bb172... | Implement the Python class `UserList` described below.
Class description:
Implement the UserList class.
Method signatures and docstrings:
- def get(self): Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { "updated_time": "2020-06-18T22:35:12", "name": null, "id": "0ede8bb172... | 6a9abe6dbf0ffe7f6fd1d7a559734c70ce80a663 | <|skeleton|>
class UserList:
def get(self):
"""Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { "updated_time": "2020-06-18T22:35:12", "name": null, "id": "0ede8bb172ac4c56beed11c978a53fb3", "created_time": "2020-06-18T22:35:12", "email": null, "phone": null, "ge... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserList:
def get(self):
"""Get users Filter fields: id username name email phone gender GET /api/users Response 200 [ { "updated_time": "2020-06-18T22:35:12", "name": null, "id": "0ede8bb172ac4c56beed11c978a53fb3", "created_time": "2020-06-18T22:35:12", "email": null, "phone": null, "gender": null, "... | the_stack_v2_python_sparse | resources/user.py | lightcax/flask_structure_example | train | 0 | |
a84e7ae7ee160908762952dd49af68148cda57bd | [
"Q = [root] if root else []\nlst = []\nwhile len(Q) > 0:\n l = len(Q)\n f = False\n while l:\n l -= 1\n p = Q.pop(0)\n if p:\n lst.append(p.val)\n Q.append(p.left)\n Q.append(p.right)\n if p.left or p.right:\n f = True\n ... | <|body_start_0|>
Q = [root] if root else []
lst = []
while len(Q) > 0:
l = len(Q)
f = False
while l:
l -= 1
p = Q.pop(0)
if p:
lst.append(p.val)
Q.append(p.left)
... | 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_019802 | 2,483 | 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 | stack_v2_sparse_classes_30k_val_000719 | 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:... | a95b871578aae0103066962c33b8c0f4ec22d0f2 | <|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"""
Q = [root] if root else []
lst = []
while len(Q) > 0:
l = len(Q)
f = False
while l:
l -= 1
p = Q.pop(0... | the_stack_v2_python_sparse | 297.py | Jane11111/Leetcode2021 | train | 2 | |
6cfc05d815b3101fc3193c8137ffc2066cbbd215 | [
"if l1 or l2:\n if l1 is None:\n return l2\n if l2 is None:\n return l1\nhead = ListNode()\nnode = head\nwhile l1 or l2:\n if l1 and l2:\n if l1.val <= l2.val:\n node.next = l1\n l1 = l1.next\n else:\n node.next = l2\n l2 = l2.next\n ... | <|body_start_0|>
if l1 or l2:
if l1 is None:
return l2
if l2 is None:
return l1
head = ListNode()
node = head
while l1 or l2:
if l1 and l2:
if l1.val <= l2.val:
node.next = l1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if l1 or... | stack_v2_sparse_classes_36k_train_019803 | 2,364 | no_license | [
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
},
{
"docstring": ":type lists: List[ListNode] :rtype: ListNode",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001728 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
<|skeleton|>... | df7d2229c50aa5134d297cc5599f7df9e64780c1 | <|skeleton|>
class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_0|>
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
if l1 or l2:
if l1 is None:
return l2
if l2 is None:
return l1
head = ListNode()
node = head
while l1 or l2:
... | the_stack_v2_python_sparse | 23.合并k个升序链表.py | libowei1213/LeetCode | train | 0 | |
4e39afdb898dba6c7959a72f9ca2099386791bda | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('bohan_nyx_xh1994_yiran123', 'bohan_nyx_xh1994_yiran123')\nairbnb = repo.bohan_nyx_xh1994_yiran123.airbnb_rating.find()\ncrime = repo.bohan_nyx_xh1994_yiran123.crime_boston.find()\ncrimes = [c for c in cr... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('bohan_nyx_xh1994_yiran123', 'bohan_nyx_xh1994_yiran123')
airbnb = repo.bohan_nyx_xh1994_yiran123.airbnb_rating.find()
crime = repo.bohan_nyx_xh199... | transformation7 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class transformation7:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythi... | stack_v2_sparse_classes_36k_train_019804 | 6,098 | no_license | [
{
"docstring": "Retrieve some data sets (not using the API here for the sake of simplicity).",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new d... | 2 | null | Implement the Python class `transformation7` described below.
Class description:
Implement the transformation7 class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=Non... | Implement the Python class `transformation7` described below.
Class description:
Implement the transformation7 class.
Method signatures and docstrings:
- def execute(trial=False): Retrieve some data sets (not using the API here for the sake of simplicity).
- def provenance(doc=prov.model.ProvDocument(), startTime=Non... | 0df485d0469c5451ebdcd684bed2a0960ba3ab84 | <|skeleton|>
class transformation7:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everythi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class transformation7:
def execute(trial=False):
"""Retrieve some data sets (not using the API here for the sake of simplicity)."""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('bohan_nyx_xh1994_yiran123', 'bohan_... | the_stack_v2_python_sparse | bohan_nyx_xh1994_yiran123/transformation7.py | lingyigu/course-2017-spr-proj | train | 0 | |
942f7e2ac06f33815a91e6f04e0527deb23a6d66 | [
"expected_shape_x = (65, 64)\nexpected_shape_y = (64, 65)\nexpected_result_x = np.full(expected_shape_x, 0.5)\nexpected_result_y = np.full(expected_shape_y, 0.5)\nresult_x, result_y = RecursiveFilter()._pad_coefficients(*self.smoothing_coefficients)\nself.assertIsInstance(result_x.data, np.ndarray)\nself.assertIsIn... | <|body_start_0|>
expected_shape_x = (65, 64)
expected_shape_y = (64, 65)
expected_result_x = np.full(expected_shape_x, 0.5)
expected_result_y = np.full(expected_shape_y, 0.5)
result_x, result_y = RecursiveFilter()._pad_coefficients(*self.smoothing_coefficients)
self.asser... | Test the _pad_coefficients method | Test__pad_coefficients | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test__pad_coefficients:
"""Test the _pad_coefficients method"""
def test_padding_default(self):
"""Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width of 15 cells, which is doubled and applied to both sides o... | stack_v2_sparse_classes_36k_train_019805 | 22,857 | permissive | [
{
"docstring": "Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width of 15 cells, which is doubled and applied to both sides of the array, so array should be padded with 15 * 4 extra rows/columns.",
"name": "test_padding_default",
... | 3 | null | Implement the Python class `Test__pad_coefficients` described below.
Class description:
Test the _pad_coefficients method
Method signatures and docstrings:
- def test_padding_default(self): Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width ... | Implement the Python class `Test__pad_coefficients` described below.
Class description:
Test the _pad_coefficients method
Method signatures and docstrings:
- def test_padding_default(self): Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width ... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test__pad_coefficients:
"""Test the _pad_coefficients method"""
def test_padding_default(self):
"""Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width of 15 cells, which is doubled and applied to both sides o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test__pad_coefficients:
"""Test the _pad_coefficients method"""
def test_padding_default(self):
"""Test that the returned smoothing_coefficients array is padded as expected with the default edge_width. Using default edge_width of 15 cells, which is doubled and applied to both sides of the array, ... | the_stack_v2_python_sparse | improver_tests/nbhood/recursive_filter/test_RecursiveFilter.py | metoppv/improver | train | 101 |
3fe5977fd199730adb4dc53d67b54e741a6f5ee2 | [
"status = response.reinjection_functionality_status\nheader = response.sdp_header\nresult[header.source_chip_x, header.source_chip_y] = status",
"status = dict()\nself._send_request(GetReinjectionStatusMessage(x, y, p), functools.partial(self.__handle_response, status))\nself._finish()\nself.check_for_error()\nre... | <|body_start_0|>
status = response.reinjection_functionality_status
header = response.sdp_header
result[header.source_chip_x, header.source_chip_y] = status
<|end_body_0|>
<|body_start_1|>
status = dict()
self._send_request(GetReinjectionStatusMessage(x, y, p), functools.partial... | How to send messages to read the status of extra monitors. | ReadStatusProcess | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReadStatusProcess:
"""How to send messages to read the status of extra monitors."""
def __handle_response(result, response):
""":param dict result: :param GetReinjectionStatusMessageResponse response:"""
<|body_0|>
def get_reinjection_status(self, x, y, p):
""":p... | stack_v2_sparse_classes_36k_train_019806 | 2,665 | permissive | [
{
"docstring": ":param dict result: :param GetReinjectionStatusMessageResponse response:",
"name": "__handle_response",
"signature": "def __handle_response(result, response)"
},
{
"docstring": ":param int x: :param int y: :param int p: :rtype: ReInjectionStatus",
"name": "get_reinjection_sta... | 3 | null | Implement the Python class `ReadStatusProcess` described below.
Class description:
How to send messages to read the status of extra monitors.
Method signatures and docstrings:
- def __handle_response(result, response): :param dict result: :param GetReinjectionStatusMessageResponse response:
- def get_reinjection_stat... | Implement the Python class `ReadStatusProcess` described below.
Class description:
How to send messages to read the status of extra monitors.
Method signatures and docstrings:
- def __handle_response(result, response): :param dict result: :param GetReinjectionStatusMessageResponse response:
- def get_reinjection_stat... | 8ab1d0b50bf47afc0ccec8d31c9e513113fffd3b | <|skeleton|>
class ReadStatusProcess:
"""How to send messages to read the status of extra monitors."""
def __handle_response(result, response):
""":param dict result: :param GetReinjectionStatusMessageResponse response:"""
<|body_0|>
def get_reinjection_status(self, x, y, p):
""":p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReadStatusProcess:
"""How to send messages to read the status of extra monitors."""
def __handle_response(result, response):
""":param dict result: :param GetReinjectionStatusMessageResponse response:"""
status = response.reinjection_functionality_status
header = response.sdp_head... | the_stack_v2_python_sparse | spinn_front_end_common/utilities/utility_objs/extra_monitor_scp_processes/read_status_process.py | SpiNNakerManchester/SpiNNFrontEndCommon | train | 16 |
6e324257502a73984cd3dbf61e03b55f8b9a0305 | [
"super().__init__()\nself.CTX_DIM = CTX_DIM\nself.ENC_DIM = ENC_DIM\nself.proj_q = Linear(self.ENC_DIM, self.CTX_DIM)\nself.inter2att = Linear(self.CTX_DIM, 1)",
"proj_q = self.proj_q(vecQuestions)\ninteractions = F.normalize(kb * proj_q[:, None, :], dim=-1)\nraw_att = self.inter2att(interactions).squeeze(-1)\nra... | <|body_start_0|>
super().__init__()
self.CTX_DIM = CTX_DIM
self.ENC_DIM = ENC_DIM
self.proj_q = Linear(self.ENC_DIM, self.CTX_DIM)
self.inter2att = Linear(self.CTX_DIM, 1)
<|end_body_0|>
<|body_start_1|>
proj_q = self.proj_q(vecQuestions)
interactions = F.normali... | SingleHop | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SingleHop:
def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None:
"""initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension"""
<|body_0|>
def forward(self, kb: Tensor, vecQuestions: Tensor, imagesObjectNum: Tensor) -> Tensor:
"""forw... | stack_v2_sparse_classes_36k_train_019807 | 3,925 | permissive | [
{
"docstring": "initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension",
"name": "__init__",
"signature": "def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None"
},
{
"docstring": "forward computation of SingleHop. Args: kb: the output feature of backbone, is x^... | 2 | null | Implement the Python class `SingleHop` described below.
Class description:
Implement the SingleHop class.
Method signatures and docstrings:
- def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None: initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension
- def forward(self, kb: Tensor, ... | Implement the Python class `SingleHop` described below.
Class description:
Implement the SingleHop class.
Method signatures and docstrings:
- def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None: initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension
- def forward(self, kb: Tensor, ... | af87a17275f02c94932bb2e29f132a84db812002 | <|skeleton|>
class SingleHop:
def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None:
"""initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension"""
<|body_0|>
def forward(self, kb: Tensor, vecQuestions: Tensor, imagesObjectNum: Tensor) -> Tensor:
"""forw... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SingleHop:
def __init__(self, CTX_DIM: int, ENC_DIM: int) -> None:
"""initialzation of SingleHop. Args: CTX_DIM: context dimension ENC_DIM: encoder dimension"""
super().__init__()
self.CTX_DIM = CTX_DIM
self.ENC_DIM = ENC_DIM
self.proj_q = Linear(self.ENC_DIM, self.CTX_... | the_stack_v2_python_sparse | imix/models/vqa_models/lcgn.py | linxi1158/iMIX | train | 0 | |
e4b91303ab3dffd8ed7f37cb61d125e50448b183 | [
"self.input_dim = input_dim\nself.output_dim = output_dim\nself.act_func = act_func\nself.name_W = name_W\nself.name_b = name_b\nself.W = tf.Variable(rng.uniform(low=-0.08, high=0.08, size=(input_dim, output_dim)).astype('float32'), name=name_W)\nself.b = tf.Variable(rng.uniform(low=-0.08, high=0.08, size=output_di... | <|body_start_0|>
self.input_dim = input_dim
self.output_dim = output_dim
self.act_func = act_func
self.name_W = name_W
self.name_b = name_b
self.W = tf.Variable(rng.uniform(low=-0.08, high=0.08, size=(input_dim, output_dim)).astype('float32'), name=name_W)
self.b ... | Dense layer class | Dense | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dense:
"""Dense layer class"""
def __init__(self, input_dim, output_dim, act_func, name_W, name_b):
""":param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation function :param name_W : str, weight name :param name_b : st... | stack_v2_sparse_classes_36k_train_019808 | 2,750 | permissive | [
{
"docstring": ":param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation function :param name_W : str, weight name :param name_b : str, bias name",
"name": "__init__",
"signature": "def __init__(self, input_dim, output_dim, act_func, name_W... | 2 | stack_v2_sparse_classes_30k_train_003180 | Implement the Python class `Dense` described below.
Class description:
Dense layer class
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, act_func, name_W, name_b): :param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation fun... | Implement the Python class `Dense` described below.
Class description:
Dense layer class
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, act_func, name_W, name_b): :param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation fun... | ad8e050cd754e5a1c73ed5df3bc223a1f6dc4148 | <|skeleton|>
class Dense:
"""Dense layer class"""
def __init__(self, input_dim, output_dim, act_func, name_W, name_b):
""":param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation function :param name_W : str, weight name :param name_b : st... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Dense:
"""Dense layer class"""
def __init__(self, input_dim, output_dim, act_func, name_W, name_b):
""":param input_dim : int, input dimension :param output_dim : int, output dimension :param act_func : function, actimation function :param name_W : str, weight name :param name_b : str, bias name"... | the_stack_v2_python_sparse | neuralnet/fine-tuning_transfer-learning/src/modeldev/d_layer.py | hsmtknj/machine-learning | train | 0 |
b05b91cc0cfa4d85ee88571193c56607fde67a07 | [
"obj = self.new_obj\nobj.save()\ntag_obj = Tags.objects.get(id=obj.tag.id)\narticle_obj = PageDetail.objects.get(id=obj.article.id)\nif article_obj:\n article_obj.tags += ',' + tag_obj.tag_name\n article_obj.save()",
"obj = self.obj\ntag_obj = Tags.objects.get(id=obj.tag.id)\narticle_obj = PageDetail.object... | <|body_start_0|>
obj = self.new_obj
obj.save()
tag_obj = Tags.objects.get(id=obj.tag.id)
article_obj = PageDetail.objects.get(id=obj.article.id)
if article_obj:
article_obj.tags += ',' + tag_obj.tag_name
article_obj.save()
<|end_body_0|>
<|body_start_1|>
... | TagMapAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TagMapAdmin:
def save_models(self):
"""tag引用计数的更新"""
<|body_0|>
def delete_model(self):
"""删除Tag映射"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
obj = self.new_obj
obj.save()
tag_obj = Tags.objects.get(id=obj.tag.id)
articl... | stack_v2_sparse_classes_36k_train_019809 | 4,329 | no_license | [
{
"docstring": "tag引用计数的更新",
"name": "save_models",
"signature": "def save_models(self)"
},
{
"docstring": "删除Tag映射",
"name": "delete_model",
"signature": "def delete_model(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001156 | Implement the Python class `TagMapAdmin` described below.
Class description:
Implement the TagMapAdmin class.
Method signatures and docstrings:
- def save_models(self): tag引用计数的更新
- def delete_model(self): 删除Tag映射 | Implement the Python class `TagMapAdmin` described below.
Class description:
Implement the TagMapAdmin class.
Method signatures and docstrings:
- def save_models(self): tag引用计数的更新
- def delete_model(self): 删除Tag映射
<|skeleton|>
class TagMapAdmin:
def save_models(self):
"""tag引用计数的更新"""
<|body_0|>... | 7d86de995deacac4eb45fed31865ba8a9598c289 | <|skeleton|>
class TagMapAdmin:
def save_models(self):
"""tag引用计数的更新"""
<|body_0|>
def delete_model(self):
"""删除Tag映射"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TagMapAdmin:
def save_models(self):
"""tag引用计数的更新"""
obj = self.new_obj
obj.save()
tag_obj = Tags.objects.get(id=obj.tag.id)
article_obj = PageDetail.objects.get(id=obj.article.id)
if article_obj:
article_obj.tags += ',' + tag_obj.tag_name
... | the_stack_v2_python_sparse | apps/blog/adminx.py | SatoKoi/Blog | train | 1 | |
4b612ccddcca123d374e51540159ac2215f18f3c | [
"ability = Ability.query.get(id)\nif not ability:\n api.abort(code=404, message='Ability not found')\nreturn {'data': ability.__jsonapi__()}",
"ability = Ability.query.get(id)\ndata = request.get_json()['data']\ntry:\n if len(data['relationships']['groups']['data']) >= 0:\n ability.groups = list((id[... | <|body_start_0|>
ability = Ability.query.get(id)
if not ability:
api.abort(code=404, message='Ability not found')
return {'data': ability.__jsonapi__()}
<|end_body_0|>
<|body_start_1|>
ability = Ability.query.get(id)
data = request.get_json()['data']
try:
... | Abilities | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Abilities:
def get(self, id):
"""Get ability"""
<|body_0|>
def put(self, id):
"""Update ability"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ability = Ability.query.get(id)
if not ability:
api.abort(code=404, message='Ability ... | stack_v2_sparse_classes_36k_train_019810 | 46,738 | permissive | [
{
"docstring": "Get ability",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Update ability",
"name": "put",
"signature": "def put(self, id)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017386 | Implement the Python class `Abilities` described below.
Class description:
Implement the Abilities class.
Method signatures and docstrings:
- def get(self, id): Get ability
- def put(self, id): Update ability | Implement the Python class `Abilities` described below.
Class description:
Implement the Abilities class.
Method signatures and docstrings:
- def get(self, id): Get ability
- def put(self, id): Update ability
<|skeleton|>
class Abilities:
def get(self, id):
"""Get ability"""
<|body_0|>
def ... | 3439a2dd0bd527c5d604801fec3a5aac904a72e2 | <|skeleton|>
class Abilities:
def get(self, id):
"""Get ability"""
<|body_0|>
def put(self, id):
"""Update ability"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Abilities:
def get(self, id):
"""Get ability"""
ability = Ability.query.get(id)
if not ability:
api.abort(code=404, message='Ability not found')
return {'data': ability.__jsonapi__()}
def put(self, id):
"""Update ability"""
ability = Ability.que... | the_stack_v2_python_sparse | app/views.py | taidos/lxc-rest | train | 0 | |
be4c15a46d621582bd8651a5a00a806ea546c6e8 | [
"for conf in self:\n for line in conf.voucher_line_ids:\n line.write({'state': 'approve'})\nreturn super(AccountBudgetConfirmation, self).budget_valid()",
"for conf in self:\n for line in conf.voucher_line_ids:\n line.write({'state': 'no_approve'})\nreturn super(AccountBudgetConfirmation, self... | <|body_start_0|>
for conf in self:
for line in conf.voucher_line_ids:
line.write({'state': 'approve'})
return super(AccountBudgetConfirmation, self).budget_valid()
<|end_body_0|>
<|body_start_1|>
for conf in self:
for line in conf.voucher_line_ids:
... | Inherit to overwrite workflow mothods to reflect confirmation state in voucher line | AccountBudgetConfirmation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccountBudgetConfirmation:
"""Inherit to overwrite workflow mothods to reflect confirmation state in voucher line"""
def budget_valid(self):
"""overwrite to change vocher line state to approve"""
<|body_0|>
def budget_unvalid(self):
"""overwrite to change vocher ... | stack_v2_sparse_classes_36k_train_019811 | 40,481 | no_license | [
{
"docstring": "overwrite to change vocher line state to approve",
"name": "budget_valid",
"signature": "def budget_valid(self)"
},
{
"docstring": "overwrite to change vocher line state to no_approve",
"name": "budget_unvalid",
"signature": "def budget_unvalid(self)"
},
{
"docstr... | 3 | null | Implement the Python class `AccountBudgetConfirmation` described below.
Class description:
Inherit to overwrite workflow mothods to reflect confirmation state in voucher line
Method signatures and docstrings:
- def budget_valid(self): overwrite to change vocher line state to approve
- def budget_unvalid(self): overwr... | Implement the Python class `AccountBudgetConfirmation` described below.
Class description:
Inherit to overwrite workflow mothods to reflect confirmation state in voucher line
Method signatures and docstrings:
- def budget_valid(self): overwrite to change vocher line state to approve
- def budget_unvalid(self): overwr... | 0b997095c260d58b026440967fea3a202bef7efb | <|skeleton|>
class AccountBudgetConfirmation:
"""Inherit to overwrite workflow mothods to reflect confirmation state in voucher line"""
def budget_valid(self):
"""overwrite to change vocher line state to approve"""
<|body_0|>
def budget_unvalid(self):
"""overwrite to change vocher ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AccountBudgetConfirmation:
"""Inherit to overwrite workflow mothods to reflect confirmation state in voucher line"""
def budget_valid(self):
"""overwrite to change vocher line state to approve"""
for conf in self:
for line in conf.voucher_line_ids:
line.write({... | the_stack_v2_python_sparse | v_11/EBS-SVN/branches/ebs/account_voucher_custom/models/account_voucher.py | musabahmed/baba | train | 0 |
e785c85afa12588ea4d8003148057f66ca8c7497 | [
"credentials = authorized_user.Credentials.from_authorized_user_info({'client_id': 'client_id', 'client_secret': 'client_secret', 'refresh_token': 'refresh_token'})\nentity = TestModel(id='foo', credentials=credentials)\nentity.put()\nretrieved = TestModel.get_by_id('foo')\nself.assertIsNotNone(retrieved.credential... | <|body_start_0|>
credentials = authorized_user.Credentials.from_authorized_user_info({'client_id': 'client_id', 'client_secret': 'client_secret', 'refresh_token': 'refresh_token'})
entity = TestModel(id='foo', credentials=credentials)
entity.put()
retrieved = TestModel.get_by_id('foo')
... | Tests for oauth2_util.CredentialsProperty. | CredentialsPropertyTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CredentialsPropertyTest:
"""Tests for oauth2_util.CredentialsProperty."""
def testStore(self):
"""Tests that credentials can be stored and retrieved."""
<|body_0|>
def testValidate(self):
"""Tests that the credentials type is validated."""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_019812 | 2,907 | permissive | [
{
"docstring": "Tests that credentials can be stored and retrieved.",
"name": "testStore",
"signature": "def testStore(self)"
},
{
"docstring": "Tests that the credentials type is validated.",
"name": "testValidate",
"signature": "def testValidate(self)"
},
{
"docstring": "Tests ... | 3 | stack_v2_sparse_classes_30k_train_015947 | Implement the Python class `CredentialsPropertyTest` described below.
Class description:
Tests for oauth2_util.CredentialsProperty.
Method signatures and docstrings:
- def testStore(self): Tests that credentials can be stored and retrieved.
- def testValidate(self): Tests that the credentials type is validated.
- def... | Implement the Python class `CredentialsPropertyTest` described below.
Class description:
Tests for oauth2_util.CredentialsProperty.
Method signatures and docstrings:
- def testStore(self): Tests that credentials can be stored and retrieved.
- def testValidate(self): Tests that the credentials type is validated.
- def... | 5e10bed02089e4cf29ae4d9d67e127f77e8fb3c9 | <|skeleton|>
class CredentialsPropertyTest:
"""Tests for oauth2_util.CredentialsProperty."""
def testStore(self):
"""Tests that credentials can be stored and retrieved."""
<|body_0|>
def testValidate(self):
"""Tests that the credentials type is validated."""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CredentialsPropertyTest:
"""Tests for oauth2_util.CredentialsProperty."""
def testStore(self):
"""Tests that credentials can be stored and retrieved."""
credentials = authorized_user.Credentials.from_authorized_user_info({'client_id': 'client_id', 'client_secret': 'client_secret', 'refres... | the_stack_v2_python_sparse | multitest_transport/util/oauth2_util_test.py | maksonlee/multitest_transport | train | 0 |
8f87339b6b9b5c589d023713951fd7b1f52a7e84 | [
"right_remove = 0\nleft_remove = 0\nleft_total = 0\nright_total = 0\nfor c in s:\n if c == '(':\n left_total += 1\n left_remove += 1\n elif c == ')':\n right_total += 1\n if left_remove == 0:\n right_remove += 1\n else:\n left_remove -= 1\nres = set()\n... | <|body_start_0|>
right_remove = 0
left_remove = 0
left_total = 0
right_total = 0
for c in s:
if c == '(':
left_total += 1
left_remove += 1
elif c == ')':
right_total += 1
if left_remove == 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeInvalidParentheses(self, s):
""":type s: str :rtype: List[str]"""
<|body_0|>
def dfs(self, s, i, res, path, leftcnt, rightcnt, left_remove, right_remove):
"""leftcnt: number of left parentheses to add left_remove: number of left parentheses to rem... | stack_v2_sparse_classes_36k_train_019813 | 2,477 | no_license | [
{
"docstring": ":type s: str :rtype: List[str]",
"name": "removeInvalidParentheses",
"signature": "def removeInvalidParentheses(self, s)"
},
{
"docstring": "leftcnt: number of left parentheses to add left_remove: number of left parentheses to remove",
"name": "dfs",
"signature": "def dfs... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeInvalidParentheses(self, s): :type s: str :rtype: List[str]
- def dfs(self, s, i, res, path, leftcnt, rightcnt, left_remove, right_remove): leftcnt: number of left pare... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeInvalidParentheses(self, s): :type s: str :rtype: List[str]
- def dfs(self, s, i, res, path, leftcnt, rightcnt, left_remove, right_remove): leftcnt: number of left pare... | 4fd63ced37732d2c3f14b87bd115b1cebc4d5fc4 | <|skeleton|>
class Solution:
def removeInvalidParentheses(self, s):
""":type s: str :rtype: List[str]"""
<|body_0|>
def dfs(self, s, i, res, path, leftcnt, rightcnt, left_remove, right_remove):
"""leftcnt: number of left parentheses to add left_remove: number of left parentheses to rem... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def removeInvalidParentheses(self, s):
""":type s: str :rtype: List[str]"""
right_remove = 0
left_remove = 0
left_total = 0
right_total = 0
for c in s:
if c == '(':
left_total += 1
left_remove += 1
... | the_stack_v2_python_sparse | 0301. Remove Invalid Parentheses.py | zannn3/LeetCode-Solutions-Python | train | 0 | |
6dac2e38224206cb86ad763409d2090cce888ee6 | [
"def no_rob(node):\n if node in hashtable:\n return hashtable[node]\n if node is None:\n return 0\n rob_left = rob_right = rob_both = rob_neither = 0\n rob_neither = no_rob(node.left) + no_rob(node.right)\n if node.left:\n rob_left = node.left.val + no_rob(node.left.left) + no_ro... | <|body_start_0|>
def no_rob(node):
if node in hashtable:
return hashtable[node]
if node is None:
return 0
rob_left = rob_right = rob_both = rob_neither = 0
rob_neither = no_rob(node.left) + no_rob(node.right)
if node.lef... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rob(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def rob_simple(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def no_rob(node):
if node in hashtable:
... | stack_v2_sparse_classes_36k_train_019814 | 3,124 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "rob",
"signature": "def rob(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "rob_simple",
"signature": "def rob_simple(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rob(self, root): :type root: TreeNode :rtype: int
- def rob_simple(self, root): :type root: TreeNode :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rob(self, root): :type root: TreeNode :rtype: int
- def rob_simple(self, root): :type root: TreeNode :rtype: int
<|skeleton|>
class Solution:
def rob(self, root):
... | d308e0e41c288f23a846b8505e572943d30b1392 | <|skeleton|>
class Solution:
def rob(self, root):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def rob_simple(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rob(self, root):
""":type root: TreeNode :rtype: int"""
def no_rob(node):
if node in hashtable:
return hashtable[node]
if node is None:
return 0
rob_left = rob_right = rob_both = rob_neither = 0
rob_n... | the_stack_v2_python_sparse | python/337_House_Robber_III.py | HankerZheng/LeetCode-Problems | train | 2 | |
c457a8dd7eb601c308c7b0bb507ff5e0ba0d1524 | [
"count = 1\narr = [0 for i in range(num_people)]\nwhile candies >= count:\n arr[(count - 1) % num_people] += count\n candies -= count\n count += 1\narr[(count - 1) % num_people] += candies\nreturn arr",
"count = 1\narr = [0 for i in range(num_people)]\nwhile candies > 0:\n '\\n min(count, c... | <|body_start_0|>
count = 1
arr = [0 for i in range(num_people)]
while candies >= count:
arr[(count - 1) % num_people] += count
candies -= count
count += 1
arr[(count - 1) % num_people] += candies
return arr
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def distributeCandies(self, candies: int, num_people: int) -> List[int]:
"""执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :param num_people: :return:"""
<|body_0|>
def distributeCandies2(self, candies: int, num_... | stack_v2_sparse_classes_36k_train_019815 | 3,806 | no_license | [
{
"docstring": "执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :param num_people: :return:",
"name": "distributeCandies",
"signature": "def distributeCandies(self, candies: int, num_people: int) -> List[int]"
},
{
"docstring": "执行用时 :52 ms, 在所... | 3 | stack_v2_sparse_classes_30k_train_015354 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def distributeCandies(self, candies: int, num_people: int) -> List[int]: 执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :para... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def distributeCandies(self, candies: int, num_people: int) -> List[int]: 执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :para... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def distributeCandies(self, candies: int, num_people: int) -> List[int]:
"""执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :param num_people: :return:"""
<|body_0|>
def distributeCandies2(self, candies: int, num_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def distributeCandies(self, candies: int, num_people: int) -> List[int]:
"""执行用时 :64 ms, 在所有 Python3 提交中击败了18.87%的用户 内存消耗 :13.5 MB, 在所有 Python3 提交中击败了23.58%的用户 :param candies: :param num_people: :return:"""
count = 1
arr = [0 for i in range(num_people)]
while candies ... | the_stack_v2_python_sparse | LeetCode/1103. Distribute Candies to People.py | yiming1012/MyLeetCode | train | 2 | |
ac4e1a8e084b67d2eefc85e10b532c49ddf7ea3d | [
"client_id = current_token.get('azp') or None\nuser_id = current_token['sub']\nusername = current_token.get('context', {}).get('user', {}).get('name')\nwith GoogleCloudManager() as g_cloud_manager:\n proxy_group_id = get_or_create_proxy_group_id()\n service_account = get_or_create_service_account(client_id=cl... | <|body_start_0|>
client_id = current_token.get('azp') or None
user_id = current_token['sub']
username = current_token.get('context', {}).get('user', {}).get('name')
with GoogleCloudManager() as g_cloud_manager:
proxy_group_id = get_or_create_proxy_group_id()
servi... | For ``/credentials/google`` endpoint. | GoogleCredentialsList | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/ke... | stack_v2_sparse_classes_36k_train_019816 | 12,068 | permissive | [
{
"docstring": "List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/keys endpoint but get the expiration time from our DB .. code-block:: JavaScript { \"access_keys\":... | 4 | stack_v2_sparse_classes_30k_val_000329 | Implement the Python class `GoogleCredentialsList` described below.
Class description:
For ``/credentials/google`` endpoint.
Method signatures and docstrings:
- def get(self): List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: applicatio... | Implement the Python class `GoogleCredentialsList` described below.
Class description:
For ``/credentials/google`` endpoint.
Method signatures and docstrings:
- def get(self): List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: applicatio... | ea885f0e882d8e6bb5db7670c4025bb8e282cdfc | <|skeleton|>
class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/ke... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GoogleCredentialsList:
"""For ``/credentials/google`` endpoint."""
def get(self):
"""List access keys for user **Example:** .. code-block:: http POST /credentials/apis/ HTTP/1.1 Content-Type: application/json Accept: application/json Info from Google API /serviceAccounts/<account>/keys endpoint b... | the_stack_v2_python_sparse | fence/blueprints/storage_creds/google.py | uc-cdis/fence | train | 42 |
2810122f26f673f977042e805b49b7a230765355 | [
"if not matrix or not matrix[0]:\n return\nrows, self.cols = (len(matrix), len(matrix[0]))\nfor r in range(rows):\n for c in range(1, self.cols):\n matrix[r][c] += matrix[r][c - 1]\nself.matrix = matrix",
"prev = self.matrix[row][col]\nif col != 0:\n prev -= self.matrix[row][col - 1]\ndiff = val -... | <|body_start_0|>
if not matrix or not matrix[0]:
return
rows, self.cols = (len(matrix), len(matrix[0]))
for r in range(rows):
for c in range(1, self.cols):
matrix[r][c] += matrix[r][c - 1]
self.matrix = matrix
<|end_body_0|>
<|body_start_1|>
... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def update(self, row, col, val):
""":type row: int :type col: int :type val: int :rtype: void"""
<|body_1|>
def sumRegion(self, row1, col1, row2, col2):
""":typ... | stack_v2_sparse_classes_36k_train_019817 | 1,888 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row: int :type col: int :type val: int :rtype: void",
"name": "update",
"signature": "def update(self, row, col, val)"
},
{
"docstring": ":type r... | 3 | stack_v2_sparse_classes_30k_train_013477 | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def update(self, row, col, val): :type row: int :type col: int :type val: int :rtype: void
- def sumRegion(self, row... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def update(self, row, col, val): :type row: int :type col: int :type val: int :rtype: void
- def sumRegion(self, row... | 05e0beff0047f0ad399d0b46d625bb8d3459814e | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def update(self, row, col, val):
""":type row: int :type col: int :type val: int :rtype: void"""
<|body_1|>
def sumRegion(self, row1, col1, row2, col2):
""":typ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
if not matrix or not matrix[0]:
return
rows, self.cols = (len(matrix), len(matrix[0]))
for r in range(rows):
for c in range(1, self.cols):
matrix[r][c] += matrix[r... | the_stack_v2_python_sparse | python_1_to_1000/308_Range_Sum_Query_2D-Mutable.py | jakehoare/leetcode | train | 58 | |
8d7dc8e915175f23bf636840159ccda24c1a97e7 | [
"if len(lists) < 1:\n return None\nelif sum([1 if i else 0 for i in lists]) == 0:\n return lists[0]\nwhile len(lists) > 1:\n tmp = []\n for i in range(0, len(lists) - 1, 2):\n l = self.mergeTwoLists(lists[i], lists[i + 1])\n tmp.append(l)\n if len(lists) % 2 == 1:\n tmp.append(li... | <|body_start_0|>
if len(lists) < 1:
return None
elif sum([1 if i else 0 for i in lists]) == 0:
return lists[0]
while len(lists) > 1:
tmp = []
for i in range(0, len(lists) - 1, 2):
l = self.mergeTwoLists(lists[i], lists[i + 1])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(l... | stack_v2_sparse_classes_36k_train_019818 | 4,076 | no_license | [
{
"docstring": ":type lists: List[ListNode] :rtype: ListNode",
"name": "mergeKLists",
"signature": "def mergeKLists(self, lists)"
},
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKLists(self, lists): :type lists: List[ListNode] :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
<|skeleton|>... | e41a86e9d4615079247ef3ef9a35537f4b40d338 | <|skeleton|>
class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def mergeKLists(self, lists):
""":type lists: List[ListNode] :rtype: ListNode"""
if len(lists) < 1:
return None
elif sum([1 if i else 0 for i in lists]) == 0:
return lists[0]
while len(lists) > 1:
tmp = []
for i in range... | the_stack_v2_python_sparse | Algorithms/合并K个排序链表.py | pppineapple/LeetCode | train | 0 | |
6a4b9bc2e65480b737491836490afc0df3957382 | [
"settings = init_settings(project_name, calculations, calc_spot, post_spot, plot_spot)\nsettings['NOTEBOOK_IP'] = 'localhost'\nsettings['extra_allowed_hosts'] = []\nsite_port = 8000\nsettings['NOTEBOOK_PORT'] = site_port + 1\nconnect_run(project_name=project_name, settings_custom=settings, post_spot=post_spot, plot... | <|body_start_0|>
settings = init_settings(project_name, calculations, calc_spot, post_spot, plot_spot)
settings['NOTEBOOK_IP'] = 'localhost'
settings['extra_allowed_hosts'] = []
site_port = 8000
settings['NOTEBOOK_PORT'] = site_port + 1
connect_run(project_name=project_na... | Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary. | OmniFromFactory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OmniFromFactory:
"""Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary."""
def connection_development(self, project_name, calculations, calc_spot, post_spot, plot_spot, omnicalc=None, meta_filter=None):
"""Main hand... | stack_v2_sparse_classes_36k_train_019819 | 17,542 | no_license | [
{
"docstring": "Main handler for the development environment.",
"name": "connection_development",
"signature": "def connection_development(self, project_name, calculations, calc_spot, post_spot, plot_spot, omnicalc=None, meta_filter=None)"
},
{
"docstring": "Main handler for the development envi... | 2 | stack_v2_sparse_classes_30k_train_006481 | Implement the Python class `OmniFromFactory` described below.
Class description:
Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary.
Method signatures and docstrings:
- def connection_development(self, project_name, calculations, calc_spot, post_spo... | Implement the Python class `OmniFromFactory` described below.
Class description:
Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary.
Method signatures and docstrings:
- def connection_development(self, project_name, calculations, calc_spot, post_spo... | 1aff816154c8acca80e30f9477a03ec19d3183fe | <|skeleton|>
class OmniFromFactory:
"""Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary."""
def connection_development(self, project_name, calculations, calc_spot, post_spot, plot_spot, omnicalc=None, meta_filter=None):
"""Main hand... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OmniFromFactory:
"""Route requests for an omnicalc project to the connect_run function with settings depending on the connection dictionary."""
def connection_development(self, project_name, calculations, calc_spot, post_spot, plot_spot, omnicalc=None, meta_filter=None):
"""Main handler for the d... | the_stack_v2_python_sparse | manager/cli.py | bradleyrp/factory | train | 0 |
5bd1b2096685be50dc512f52c12b1cf16e4a556d | [
"ClarinService.__init__(self)\nself.url_base = 'http://ws.clarin-pl.eu/nlprest2/base/startTask'\nself.url_check = 'http://ws.clarin-pl.eu/nlprest2/base/getStatus'\nself.url_download = 'http://ws.clarin-pl.eu/nlprest2/base/download'\nself.file_id = ''\nself.compressed_suffix = 'ann_morphosyntax.xml.gz'",
"raw_resp... | <|body_start_0|>
ClarinService.__init__(self)
self.url_base = 'http://ws.clarin-pl.eu/nlprest2/base/startTask'
self.url_check = 'http://ws.clarin-pl.eu/nlprest2/base/getStatus'
self.url_download = 'http://ws.clarin-pl.eu/nlprest2/base/download'
self.file_id = ''
self.comp... | Extended service for calling clarin backend api that must be called in asynchronous way | AsynchronousClarinService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AsynchronousClarinService:
"""Extended service for calling clarin backend api that must be called in asynchronous way"""
def __init__(self):
"""Init service with asynchronous url"""
<|body_0|>
def is_document_ready(self) -> bool:
"""Ask clarin backend whether pro... | stack_v2_sparse_classes_36k_train_019820 | 9,033 | permissive | [
{
"docstring": "Init service with asynchronous url",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Ask clarin backend whether processed document is ready",
"name": "is_document_ready",
"signature": "def is_document_ready(self) -> bool"
},
{
"docstring":... | 5 | stack_v2_sparse_classes_30k_train_018843 | Implement the Python class `AsynchronousClarinService` described below.
Class description:
Extended service for calling clarin backend api that must be called in asynchronous way
Method signatures and docstrings:
- def __init__(self): Init service with asynchronous url
- def is_document_ready(self) -> bool: Ask clari... | Implement the Python class `AsynchronousClarinService` described below.
Class description:
Extended service for calling clarin backend api that must be called in asynchronous way
Method signatures and docstrings:
- def __init__(self): Init service with asynchronous url
- def is_document_ready(self) -> bool: Ask clari... | af03252e19075feec3fa478fa271ea3ae8cf8d11 | <|skeleton|>
class AsynchronousClarinService:
"""Extended service for calling clarin backend api that must be called in asynchronous way"""
def __init__(self):
"""Init service with asynchronous url"""
<|body_0|>
def is_document_ready(self) -> bool:
"""Ask clarin backend whether pro... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AsynchronousClarinService:
"""Extended service for calling clarin backend api that must be called in asynchronous way"""
def __init__(self):
"""Init service with asynchronous url"""
ClarinService.__init__(self)
self.url_base = 'http://ws.clarin-pl.eu/nlprest2/base/startTask'
... | the_stack_v2_python_sparse | services/ClarinServices.py | kubasikora/WEDT-Projekt | train | 0 |
29d15c4c250ca4850556ce4ef32048387d4e4249 | [
"result = data_types.WebTestResult('foo', ['debug'], 'Pass', 'step', 'build_id')\nresult.SetDuration(str(1), str(2000))\nself.assertTrue(result.is_slow_result)",
"result = data_types.WebTestResult('foo', ['debug'], 'Pass', 'step', 'build_id')\nresult.SetDuration(30, 100000)\nself.assertFalse(result.is_slow_result... | <|body_start_0|>
result = data_types.WebTestResult('foo', ['debug'], 'Pass', 'step', 'build_id')
result.SetDuration(str(1), str(2000))
self.assertTrue(result.is_slow_result)
<|end_body_0|>
<|body_start_1|>
result = data_types.WebTestResult('foo', ['debug'], 'Pass', 'step', 'build_id')
... | WebTestResultUnittest | [
"LGPL-2.0-or-later",
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.1-only",
"GPL-1.0-or-later",
"GPL-2.0-only",
"LGPL-2.0-only",
"BSD-2-Clause",
"LicenseRef-scancode-other-copyleft",
"BSD-3-Clause",
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WebTestResultUnittest:
def testSetDurationString(self):
"""Tests that strings are properly converted when setting durations."""
<|body_0|>
def testSetDurationNotSlow(self):
"""Tests that setting a duration for a non-slow result works."""
<|body_1|>
def t... | stack_v2_sparse_classes_36k_train_019821 | 10,707 | permissive | [
{
"docstring": "Tests that strings are properly converted when setting durations.",
"name": "testSetDurationString",
"signature": "def testSetDurationString(self)"
},
{
"docstring": "Tests that setting a duration for a non-slow result works.",
"name": "testSetDurationNotSlow",
"signature... | 5 | stack_v2_sparse_classes_30k_train_013168 | Implement the Python class `WebTestResultUnittest` described below.
Class description:
Implement the WebTestResultUnittest class.
Method signatures and docstrings:
- def testSetDurationString(self): Tests that strings are properly converted when setting durations.
- def testSetDurationNotSlow(self): Tests that settin... | Implement the Python class `WebTestResultUnittest` described below.
Class description:
Implement the WebTestResultUnittest class.
Method signatures and docstrings:
- def testSetDurationString(self): Tests that strings are properly converted when setting durations.
- def testSetDurationNotSlow(self): Tests that settin... | fd8a8914ca0183f0add65ae55f04e287543c7d4a | <|skeleton|>
class WebTestResultUnittest:
def testSetDurationString(self):
"""Tests that strings are properly converted when setting durations."""
<|body_0|>
def testSetDurationNotSlow(self):
"""Tests that setting a duration for a non-slow result works."""
<|body_1|>
def t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WebTestResultUnittest:
def testSetDurationString(self):
"""Tests that strings are properly converted when setting durations."""
result = data_types.WebTestResult('foo', ['debug'], 'Pass', 'step', 'build_id')
result.SetDuration(str(1), str(2000))
self.assertTrue(result.is_slow_r... | the_stack_v2_python_sparse | third_party/blink/tools/blinkpy/web_tests/stale_expectation_removal/data_types_unittest.py | SREERAGI18/chromium | train | 1 | |
4ec8946ea5ff1ad4387cfd7a57f72f3a3061cd42 | [
"QtGui.QLabel.__init__(self, parent)\nself.alias = alias\nself.caption = text\nif default_label:\n self.default_label = default_label\nelse:\n self.default_label = ''\nself.updateText()\nself.setAttribute(QtCore.Qt.WA_Hover)\nself.setCursor(QtCore.Qt.PointingHandCursor)\nself.setToolTip(alias)\nself.palette()... | <|body_start_0|>
QtGui.QLabel.__init__(self, parent)
self.alias = alias
self.caption = text
if default_label:
self.default_label = default_label
else:
self.default_label = ''
self.updateText()
self.setAttribute(QtCore.Qt.WA_Hover)
s... | AliasLabel is a QLabel that supports hover actions similar to a hot link | AliasLabel | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliasLabel:
"""AliasLabel is a QLabel that supports hover actions similar to a hot link"""
def __init__(self, alias='', text='', default_label='', parent=None):
"""AliasLabel(alias:str , text: str, default_label: str, parent: QWidget) -> QHoverAliasLabel Initialize the label with a t... | stack_v2_sparse_classes_36k_train_019822 | 26,543 | permissive | [
{
"docstring": "AliasLabel(alias:str , text: str, default_label: str, parent: QWidget) -> QHoverAliasLabel Initialize the label with a text",
"name": "__init__",
"signature": "def __init__(self, alias='', text='', default_label='', parent=None)"
},
{
"docstring": "updateText() -> None Update the... | 4 | null | Implement the Python class `AliasLabel` described below.
Class description:
AliasLabel is a QLabel that supports hover actions similar to a hot link
Method signatures and docstrings:
- def __init__(self, alias='', text='', default_label='', parent=None): AliasLabel(alias:str , text: str, default_label: str, parent: Q... | Implement the Python class `AliasLabel` described below.
Class description:
AliasLabel is a QLabel that supports hover actions similar to a hot link
Method signatures and docstrings:
- def __init__(self, alias='', text='', default_label='', parent=None): AliasLabel(alias:str , text: str, default_label: str, parent: Q... | 23ef56ec24b85c82416e1437a08381635328abe5 | <|skeleton|>
class AliasLabel:
"""AliasLabel is a QLabel that supports hover actions similar to a hot link"""
def __init__(self, alias='', text='', default_label='', parent=None):
"""AliasLabel(alias:str , text: str, default_label: str, parent: QWidget) -> QHoverAliasLabel Initialize the label with a t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AliasLabel:
"""AliasLabel is a QLabel that supports hover actions similar to a hot link"""
def __init__(self, alias='', text='', default_label='', parent=None):
"""AliasLabel(alias:str , text: str, default_label: str, parent: QWidget) -> QHoverAliasLabel Initialize the label with a text"""
... | the_stack_v2_python_sparse | vistrails_current/vistrails/gui/ports_pane.py | lumig242/VisTrailsRecommendation | train | 3 |
f2d856825689abb7989abeb80baf99770c8b59a8 | [
"departments = self.filter(scale=Perimeter.SCALES.department, is_obsolete=False)\nif values:\n departments = departments.values(*values)\ndepartments = departments.order_by('code')\ndepartments_list = []\nfor department in departments:\n if values:\n department['slug'] = slugify(department['name'])\n ... | <|body_start_0|>
departments = self.filter(scale=Perimeter.SCALES.department, is_obsolete=False)
if values:
departments = departments.values(*values)
departments = departments.order_by('code')
departments_list = []
for department in departments:
if values:... | PerimeterQuerySet | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PerimeterQuerySet:
def departments(self, values=None):
"""Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 21"""
<|body_0|>
def communes_by_distance(self, latitude: float, longitude: float, radius: int... | stack_v2_sparse_classes_36k_train_019823 | 15,447 | permissive | [
{
"docstring": "Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 21",
"name": "departments",
"signature": "def departments(self, values=None)"
},
{
"docstring": "Returns a queryset of the communes closest to the given coor... | 2 | null | Implement the Python class `PerimeterQuerySet` described below.
Class description:
Implement the PerimeterQuerySet class.
Method signatures and docstrings:
- def departments(self, values=None): Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 2... | Implement the Python class `PerimeterQuerySet` described below.
Class description:
Implement the PerimeterQuerySet class.
Method signatures and docstrings:
- def departments(self, values=None): Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 2... | af9f6e6e8b1918363793fbf291f3518ef1454169 | <|skeleton|>
class PerimeterQuerySet:
def departments(self, values=None):
"""Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 21"""
<|body_0|>
def communes_by_distance(self, latitude: float, longitude: float, radius: int... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PerimeterQuerySet:
def departments(self, values=None):
"""Returns a list of the departments - with a slug - sorted by code - and so that the Corsican ones are listed between 19 and 21"""
departments = self.filter(scale=Perimeter.SCALES.department, is_obsolete=False)
if values:
... | the_stack_v2_python_sparse | src/geofr/models.py | MTES-MCT/aides-territoires | train | 21 | |
2c86b556579afe108ae604eb05f390011194be7a | [
"res = []\n\ndef dfs(node):\n if not node:\n return\n res.append(str(node.val))\n res.append(str(len(node.children)))\n for child in node.children:\n dfs(child)\ndfs(root)\nreturn ','.join(res)",
"if not data:\n return None\ndata = iter(data.split(','))\n\ndef dfs():\n root = Node(... | <|body_start_0|>
res = []
def dfs(node):
if not node:
return
res.append(str(node.val))
res.append(str(len(node.children)))
for child in node.children:
dfs(child)
dfs(root)
return ','.join(res)
<|end_body_0|>... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k_train_019824 | 1,186 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root: 'Node') -> str"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def des... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to tre... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: 'Node') -> str: Encodes a tree to a single string. :type root: Node :rtype: str
- def deserialize(self, data: str) -> 'Node': Decodes your encoded data to tre... | 238995bd23c8a6c40c6035890e94baa2473d4bbc | <|skeleton|>
class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data: str) -> 'Node':
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: 'Node') -> str:
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
res = []
def dfs(node):
if not node:
return
res.append(str(node.val))
res.append(str(len(node.children)))
... | the_stack_v2_python_sparse | problems/N428_Serialize_And_Deserialize_Nary_Tree.py | wan-catherine/Leetcode | train | 5 | |
afb49b7c2cee52340f47288b645fb7d1982d7190 | [
"self.scanner_name = 'misc-package-updates'\nself.full_scanner_name = 'registry.centos.org/pipeline-images/misc-package-updates'\nself.scan_types = ['pip-updates', 'npm-updates', 'gem-updates']",
"logs = []\nsuper(MiscPackageUpdates, self).__init__(image_under_test=image_under_test, scanner_name=self.scanner_name... | <|body_start_0|>
self.scanner_name = 'misc-package-updates'
self.full_scanner_name = 'registry.centos.org/pipeline-images/misc-package-updates'
self.scan_types = ['pip-updates', 'npm-updates', 'gem-updates']
<|end_body_0|>
<|body_start_1|>
logs = []
super(MiscPackageUpdates, sel... | Checks updates for packages other than RPM. | MiscPackageUpdates | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MiscPackageUpdates:
"""Checks updates for packages other than RPM."""
def __init__(self):
"""Name it to Misc Package update check."""
<|body_0|>
def scan(self, image_under_test):
"""Run the scanner."""
<|body_1|>
def process_output(self, logs):
... | stack_v2_sparse_classes_36k_train_019825 | 2,143 | no_license | [
{
"docstring": "Name it to Misc Package update check.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Run the scanner.",
"name": "scan",
"signature": "def scan(self, image_under_test)"
},
{
"docstring": "Genaralising output. Processing data for this sca... | 3 | stack_v2_sparse_classes_30k_train_005647 | Implement the Python class `MiscPackageUpdates` described below.
Class description:
Checks updates for packages other than RPM.
Method signatures and docstrings:
- def __init__(self): Name it to Misc Package update check.
- def scan(self, image_under_test): Run the scanner.
- def process_output(self, logs): Genaralis... | Implement the Python class `MiscPackageUpdates` described below.
Class description:
Checks updates for packages other than RPM.
Method signatures and docstrings:
- def __init__(self): Name it to Misc Package update check.
- def scan(self, image_under_test): Run the scanner.
- def process_output(self, logs): Genaralis... | 4b59184c3453ae706d5e352306fe9e551c90dc41 | <|skeleton|>
class MiscPackageUpdates:
"""Checks updates for packages other than RPM."""
def __init__(self):
"""Name it to Misc Package update check."""
<|body_0|>
def scan(self, image_under_test):
"""Run the scanner."""
<|body_1|>
def process_output(self, logs):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MiscPackageUpdates:
"""Checks updates for packages other than RPM."""
def __init__(self):
"""Name it to Misc Package update check."""
self.scanner_name = 'misc-package-updates'
self.full_scanner_name = 'registry.centos.org/pipeline-images/misc-package-updates'
self.scan_ty... | the_stack_v2_python_sparse | container_pipeline/scanners/misc_package_updates.py | eupraxialabs/container-pipeline-service | train | 0 |
202b6c8ea2cd12df4a1ed63eb25345dd2057e5bf | [
"if user_index >= self.num_users or following_index >= self.num_users:\n raise ValueError(f'Number of users is {self.num_users}, but indices {user_index} and {following_index} were requested.')\nif self.users_hat[following_index, user_index] == 0:\n self.users_hat[following_index, user_index] = 1\nelif self.i... | <|body_start_0|>
if user_index >= self.num_users or following_index >= self.num_users:
raise ValueError(f'Number of users is {self.num_users}, but indices {user_index} and {following_index} were requested.')
if self.users_hat[following_index, user_index] == 0:
self.users_hat[foll... | A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`. | BinarySocialGraph | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BinarySocialGraph:
"""A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`."""
def follow(self, user_index, following_index):
... | stack_v2_sparse_classes_36k_train_019826 | 5,088 | permissive | [
{
"docstring": "Method to follow another user -- that is, to create a unidirectional link from one user to the other. Parameters ---------- user_index: int Index of the user initiating the follow. following_index: int Index of the user to be followed. Raises ------ ValueError If either of the user indices does ... | 4 | stack_v2_sparse_classes_30k_train_018592 | Implement the Python class `BinarySocialGraph` described below.
Class description:
A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`.
Method signatures and d... | Implement the Python class `BinarySocialGraph` described below.
Class description:
A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`.
Method signatures and d... | c4db28013f397ccad9eb5f5e530ca301599f36fb | <|skeleton|>
class BinarySocialGraph:
"""A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`."""
def follow(self, user_index, following_index):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BinarySocialGraph:
"""A mixin for classes with a :attr:`~trecs.models.recommender.BaseRecommender.users_hat` attribute to gain the basic functionality of a binary social graph. It assumes a network adjacency matrix of size `|U|x|U|`."""
def follow(self, user_index, following_index):
"""Method to ... | the_stack_v2_python_sparse | trecs/components/socialgraph.py | amywinecoff/t-recs | train | 1 |
8527586a0c72d15bee55a53df872f17394450f70 | [
"self.valmin = valmin\nself.ax.set_xlim((self.valmin, self.valmax))\nif self.val < self.valmin:\n self.set_val(self.valmin)\nif self.valinit < self.valmin:\n self.valinit = (self.valmax - self.valmin) / 2.0 + self.valmin\n if self.vline in self.ax.lines:\n if hasattr(self.ax.lines, 'remove'):\n ... | <|body_start_0|>
self.valmin = valmin
self.ax.set_xlim((self.valmin, self.valmax))
if self.val < self.valmin:
self.set_val(self.valmin)
if self.valinit < self.valmin:
self.valinit = (self.valmax - self.valmin) / 2.0 + self.valmin
if self.vline in self.... | ModifiableSlider | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModifiableSlider:
def set_valmin(self, valmin):
"""Change the minimum value of the slider"""
<|body_0|>
def set_valmax(self, valmax):
"""Change the maximum value of the slider"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.valmin = valmin
... | stack_v2_sparse_classes_36k_train_019827 | 16,045 | permissive | [
{
"docstring": "Change the minimum value of the slider",
"name": "set_valmin",
"signature": "def set_valmin(self, valmin)"
},
{
"docstring": "Change the maximum value of the slider",
"name": "set_valmax",
"signature": "def set_valmax(self, valmax)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012647 | Implement the Python class `ModifiableSlider` described below.
Class description:
Implement the ModifiableSlider class.
Method signatures and docstrings:
- def set_valmin(self, valmin): Change the minimum value of the slider
- def set_valmax(self, valmax): Change the maximum value of the slider | Implement the Python class `ModifiableSlider` described below.
Class description:
Implement the ModifiableSlider class.
Method signatures and docstrings:
- def set_valmin(self, valmin): Change the minimum value of the slider
- def set_valmax(self, valmax): Change the maximum value of the slider
<|skeleton|>
class Mo... | 262a94997bda663ed5b7501cb661fbf673c244b8 | <|skeleton|>
class ModifiableSlider:
def set_valmin(self, valmin):
"""Change the minimum value of the slider"""
<|body_0|>
def set_valmax(self, valmax):
"""Change the maximum value of the slider"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModifiableSlider:
def set_valmin(self, valmin):
"""Change the minimum value of the slider"""
self.valmin = valmin
self.ax.set_xlim((self.valmin, self.valmax))
if self.val < self.valmin:
self.set_val(self.valmin)
if self.valinit < self.valmin:
sel... | the_stack_v2_python_sparse | pyspeckit/spectrum/widgets.py | pyspeckit/pyspeckit | train | 93 | |
62afc88518ee0d7271a1948bde5311cfa9b8d7c1 | [
"eval_locals = copy(entry)\neval_locals.update({'has_field': lambda f: f in entry})\ntry:\n passed = evaluate_expression(condition, eval_locals)\n if passed:\n logger.debug('{} matched requirement {}', entry['title'], condition)\n return passed\nexcept UndefinedError as e:\n missing_field = e.arg... | <|body_start_0|>
eval_locals = copy(entry)
eval_locals.update({'has_field': lambda f: f in entry})
try:
passed = evaluate_expression(condition, eval_locals)
if passed:
logger.debug('{} matched requirement {}', entry['title'], condition)
return ... | Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries. | FilterIf | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FilterIf:
"""Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries."""
def check_condition(self, condition, entry):
"""Checks if a given `entry` passes `condition`"""
... | stack_v2_sparse_classes_36k_train_019828 | 3,906 | permissive | [
{
"docstring": "Checks if a given `entry` passes `condition`",
"name": "check_condition",
"signature": "def check_condition(self, condition, entry)"
},
{
"docstring": "Provides handlers for all phases.",
"name": "__getattr__",
"signature": "def __getattr__(self, item)"
}
] | 2 | null | Implement the Python class `FilterIf` described below.
Class description:
Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries.
Method signatures and docstrings:
- def check_condition(self, condition, ent... | Implement the Python class `FilterIf` described below.
Class description:
Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries.
Method signatures and docstrings:
- def check_condition(self, condition, ent... | ea95ff60041beaea9aacbc2d93549e3a6b981dc5 | <|skeleton|>
class FilterIf:
"""Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries."""
def check_condition(self, condition, entry):
"""Checks if a given `entry` passes `condition`"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FilterIf:
"""Can run actions on entries that satisfy a given condition. Actions include accept, reject, and fail, as well as the ability to run other filter plugins on the entries."""
def check_condition(self, condition, entry):
"""Checks if a given `entry` passes `condition`"""
eval_loca... | the_stack_v2_python_sparse | flexget/plugins/filter/if_condition.py | BrutuZ/Flexget | train | 1 |
37ddb5c29cfe7ef2cf185736c73014ce24e7c44f | [
"self._c0 = calibration_coefficients[0]\nself._c1 = calibration_coefficients[1]\nself._c00 = calibration_coefficients[2]\nself._c10 = calibration_coefficients[3]\nself._c01 = calibration_coefficients[4]\nself._c11 = calibration_coefficients[5]\nself._c20 = calibration_coefficients[6]\nself._c21 = calibration_coeffi... | <|body_start_0|>
self._c0 = calibration_coefficients[0]
self._c1 = calibration_coefficients[1]
self._c00 = calibration_coefficients[2]
self._c10 = calibration_coefficients[3]
self._c01 = calibration_coefficients[4]
self._c11 = calibration_coefficients[5]
self._c20... | Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC. | Calibrator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Calibrator:
"""Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC."""
def __init__(self, calibration_coefficients, pressure_scaling_factor, temperature_scaling_factor):
"""Initializes self. Parameters ---------- calibra... | stack_v2_sparse_classes_36k_train_019829 | 29,696 | permissive | [
{
"docstring": "Initializes self. Parameters ---------- calibration_coefficients : iterable An iterable with the coefficients (c0, c1, c00, c10, c01, c11, c20, c21, c30) as defined in the data sheet. pressure_scaling_factor : int A scaling factor corresponding with the selected pressure oversampling. temperatur... | 3 | stack_v2_sparse_classes_30k_train_000781 | Implement the Python class `Calibrator` described below.
Class description:
Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC.
Method signatures and docstrings:
- def __init__(self, calibration_coefficients, pressure_scaling_factor, temperature_scaling... | Implement the Python class `Calibrator` described below.
Class description:
Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC.
Method signatures and docstrings:
- def __init__(self, calibration_coefficients, pressure_scaling_factor, temperature_scaling... | 8fda5d2bd9929650ea273b66980dac4596645e81 | <|skeleton|>
class Calibrator:
"""Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC."""
def __init__(self, calibration_coefficients, pressure_scaling_factor, temperature_scaling_factor):
"""Initializes self. Parameters ---------- calibra... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Calibrator:
"""Takes raw data from a SPL06-007 pressure sensor and converts it to pressure data in Pa and temperature data in degC."""
def __init__(self, calibration_coefficients, pressure_scaling_factor, temperature_scaling_factor):
"""Initializes self. Parameters ---------- calibration_coeffici... | the_stack_v2_python_sparse | spl06_007.py | tetrabiodistributed/project-tetra-display | train | 4 |
372bd4be0e4161c83334626c90fd48a93adb2a07 | [
"self.callbacks = callbacks\nif serializer is None:\n serializer = rpc_serializer.NoOpSerializer()\nself.serializer = serializer",
"new_kwargs = dict()\nfor argname, arg in kwargs.iteritems():\n new_kwargs[argname] = self.serializer.deserialize_entity(context, arg)\nreturn new_kwargs",
"print('XXXXXX')\np... | <|body_start_0|>
self.callbacks = callbacks
if serializer is None:
serializer = rpc_serializer.NoOpSerializer()
self.serializer = serializer
<|end_body_0|>
<|body_start_1|>
new_kwargs = dict()
for argname, arg in kwargs.iteritems():
new_kwargs[argname] = ... | Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute. | DirectRpcDispatcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DirectRpcDispatcher:
"""Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute."""
def __init__(self, callbacks, serializer=None):
"""I... | stack_v2_sparse_classes_36k_train_019830 | 3,026 | no_license | [
{
"docstring": "Initialize the rpc dispatcher. :param callbacks: List of proxy objects that are an instance of a class with rpc methods exposed. Each proxy object should have an RPC_API_VERSION attribute. :param serializer: The Serializer object that will be used to deserialize arguments before the method call ... | 3 | stack_v2_sparse_classes_30k_train_014515 | Implement the Python class `DirectRpcDispatcher` described below.
Class description:
Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute.
Method signatures and docstr... | Implement the Python class `DirectRpcDispatcher` described below.
Class description:
Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute.
Method signatures and docstr... | 289d938227e48d77467bc357e1c72d47a63fc1a8 | <|skeleton|>
class DirectRpcDispatcher:
"""Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute."""
def __init__(self, callbacks, serializer=None):
"""I... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DirectRpcDispatcher:
"""Dispatch rpc messages according to the requested API version. This class can be used as the top level 'manager' for a service. It contains a list of underlying managers that have an API_VERSION attribute."""
def __init__(self, callbacks, serializer=None):
"""Initialize the... | the_stack_v2_python_sparse | ccbilling/billing/dispatcher.py | gaolichuang/cc_open_stack_addon | train | 0 |
6f226064f895be5a5f4d529f3959ccaca29a056a | [
"rmg_path = os.path.normpath(os.path.join(get_path(), '..'))\nself.settings1 = QMSettings(software='mopac', method='pm3', fileStore=os.path.join(rmg_path, 'testing', 'qm', 'QMfiles'), scratchDirectory=None, onlyCyclics=False, maxRadicalNumber=0)\nself.settings2 = QMSettings()",
"try:\n self.settings1.check_all... | <|body_start_0|>
rmg_path = os.path.normpath(os.path.join(get_path(), '..'))
self.settings1 = QMSettings(software='mopac', method='pm3', fileStore=os.path.join(rmg_path, 'testing', 'qm', 'QMfiles'), scratchDirectory=None, onlyCyclics=False, maxRadicalNumber=0)
self.settings2 = QMSettings()
<|end... | Contains unit tests for the QMSettings class. | TestQMSettings | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestQMSettings:
"""Contains unit tests for the QMSettings class."""
def setUp(self):
"""A function run before each unit test in this class."""
<|body_0|>
def test_check_all_set(self):
"""Test that check_all_set() works correctly."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_019831 | 14,056 | permissive | [
{
"docstring": "A function run before each unit test in this class.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that check_all_set() works correctly.",
"name": "test_check_all_set",
"signature": "def test_check_all_set(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005908 | Implement the Python class `TestQMSettings` described below.
Class description:
Contains unit tests for the QMSettings class.
Method signatures and docstrings:
- def setUp(self): A function run before each unit test in this class.
- def test_check_all_set(self): Test that check_all_set() works correctly. | Implement the Python class `TestQMSettings` described below.
Class description:
Contains unit tests for the QMSettings class.
Method signatures and docstrings:
- def setUp(self): A function run before each unit test in this class.
- def test_check_all_set(self): Test that check_all_set() works correctly.
<|skeleton|... | 349a4af759cf8877197772cd7eaca1e51d46eff5 | <|skeleton|>
class TestQMSettings:
"""Contains unit tests for the QMSettings class."""
def setUp(self):
"""A function run before each unit test in this class."""
<|body_0|>
def test_check_all_set(self):
"""Test that check_all_set() works correctly."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestQMSettings:
"""Contains unit tests for the QMSettings class."""
def setUp(self):
"""A function run before each unit test in this class."""
rmg_path = os.path.normpath(os.path.join(get_path(), '..'))
self.settings1 = QMSettings(software='mopac', method='pm3', fileStore=os.path.... | the_stack_v2_python_sparse | rmgpy/qm/mainTest.py | CanePan-cc/CanePanWorkshop | train | 2 |
3098c3bf41779b7d950672506123d02db989f66b | [
"ROW, COL = (len(grid), len(grid[0]))\nQ = sorted([(qv, qi) for qi, qv in enumerate(queries)], key=lambda x: x[0])\nres = [0] * len(Q)\npq = [(grid[0][0], 0, 0)]\nvisited = [[False] * COL for _ in range(ROW)]\nvisited[0][0] = True\ncount = 0\nfor qv, qi in Q:\n while pq and pq[0][0] < qv:\n _, curRow, cur... | <|body_start_0|>
ROW, COL = (len(grid), len(grid[0]))
Q = sorted([(qv, qi) for qi, qv in enumerate(queries)], key=lambda x: x[0])
res = [0] * len(Q)
pq = [(grid[0][0], 0, 0)]
visited = [[False] * COL for _ in range(ROW)]
visited[0][0] = True
count = 0
for ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]:
"""离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)"""
<|body_0|>
def maxPoints2(self, grid: List[List[int]], queries: List[int]) -> List[int]:
"""离线查询+并查集"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_019832 | 4,992 | no_license | [
{
"docstring": "离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)",
"name": "maxPoints",
"signature": "def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]"
},
{
"docstring": "离线查询+并查集",
"name": "maxPoints2",
"signature": "def maxPoints2(self, grid: List[List[int]], queries:... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]: 离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)
- def maxPoints2(self, grid: List[List[int]], queries: List[i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]: 离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)
- def maxPoints2(self, grid: List[List[int]], queries: List[i... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]:
"""离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)"""
<|body_0|>
def maxPoints2(self, grid: List[List[int]], queries: List[int]) -> List[int]:
"""离线查询+并查集"""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxPoints(self, grid: List[List[int]], queries: List[int]) -> List[int]:
"""离线查询+堆 => 每次更新都看当前值最小的点,看是否能继续扩散(接雨水II)"""
ROW, COL = (len(grid), len(grid[0]))
Q = sorted([(qv, qi) for qi, qv in enumerate(queries)], key=lambda x: x[0])
res = [0] * len(Q)
pq = ... | the_stack_v2_python_sparse | 22_专题/离线查询/并查集/网格矩阵/6260. 矩阵查询可获得的最大分数-离线查询+堆或者并查集.py | 981377660LMT/algorithm-study | train | 225 | |
bcd9673f18a4b3f6d64d22d2e79f671b76e661de | [
"super().__init__(coordinator)\nself.entity_description = sensor_description\ndevice_name = data.name.title()\nself._attr_name = f'{device_name} {sensor_description.name}'\nself._attr_unique_id = f'{unique_id}_{sensor_description.key}'\nself._attr_device_info = DeviceInfo(identifiers={(DOMAIN, unique_id)}, name=dev... | <|body_start_0|>
super().__init__(coordinator)
self.entity_description = sensor_description
device_name = data.name.title()
self._attr_name = f'{device_name} {sensor_description.name}'
self._attr_unique_id = f'{unique_id}_{sensor_description.key}'
self._attr_device_info =... | Representation of a sensor entity for NUT status values. | NUTSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_019833 | 28,254 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None"
},
{
"docstring": "Return entity state from ups.",
"name": ... | 2 | stack_v2_sparse_classes_30k_train_016957 | Implement the Python class `NUTSensor` described below.
Class description:
Representation of a sensor entity for NUT status values.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -... | Implement the Python class `NUTSensor` described below.
Class description:
Representation of a sensor entity for NUT status values.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -... | bfa315be51371a1b63e04342a0b275a57ae148bd | <|skeleton|>
class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
super().__init__(coordinator... | the_stack_v2_python_sparse | homeassistant/components/nut/sensor.py | bdraco/home-assistant | train | 13 |
f045da5bd573489fde2068648c396371ed07aef0 | [
"myDeck = deck.Deck()\ncard1 = myDeck.deal_card()\ncard2 = myDeck.deal_card()\nmyPerson = person.Person(card1, card2)\nself.assertEqual(len(myPerson), 2)\nself.assertEqual(myPerson.get_total(), card1.get_value() + card2.get_value())",
"myDeck = deck.Deck()\ncard1 = myDeck.deal_card()\ncard2 = myDeck.deal_card()\n... | <|body_start_0|>
myDeck = deck.Deck()
card1 = myDeck.deal_card()
card2 = myDeck.deal_card()
myPerson = person.Person(card1, card2)
self.assertEqual(len(myPerson), 2)
self.assertEqual(myPerson.get_total(), card1.get_value() + card2.get_value())
<|end_body_0|>
<|body_start... | TestPerson | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPerson:
def test_one(self):
"""Testing the constructor, the len, and the total"""
<|body_0|>
def test_two(self):
"""Testing the add card function"""
<|body_1|>
def test_three(self):
"""Testing the num_aces function"""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_019834 | 1,998 | no_license | [
{
"docstring": "Testing the constructor, the len, and the total",
"name": "test_one",
"signature": "def test_one(self)"
},
{
"docstring": "Testing the add card function",
"name": "test_two",
"signature": "def test_two(self)"
},
{
"docstring": "Testing the num_aces function",
... | 4 | stack_v2_sparse_classes_30k_train_012592 | Implement the Python class `TestPerson` described below.
Class description:
Implement the TestPerson class.
Method signatures and docstrings:
- def test_one(self): Testing the constructor, the len, and the total
- def test_two(self): Testing the add card function
- def test_three(self): Testing the num_aces function
... | Implement the Python class `TestPerson` described below.
Class description:
Implement the TestPerson class.
Method signatures and docstrings:
- def test_one(self): Testing the constructor, the len, and the total
- def test_two(self): Testing the add card function
- def test_three(self): Testing the num_aces function
... | 86146cf124c21e4d74e1dac561321395e6555ecc | <|skeleton|>
class TestPerson:
def test_one(self):
"""Testing the constructor, the len, and the total"""
<|body_0|>
def test_two(self):
"""Testing the add card function"""
<|body_1|>
def test_three(self):
"""Testing the num_aces function"""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestPerson:
def test_one(self):
"""Testing the constructor, the len, and the total"""
myDeck = deck.Deck()
card1 = myDeck.deal_card()
card2 = myDeck.deal_card()
myPerson = person.Person(card1, card2)
self.assertEqual(len(myPerson), 2)
self.assertEqual(my... | the_stack_v2_python_sparse | test_person.py | alexz12948/BlackJack | train | 0 | |
a9c3ba960690756f88d22e81291e4d283be26e16 | [
"self.lr = lr\nself.num_params = num_params\nself.runner = [0 for _ in range(num_params)]",
"new_params = []\nfor i in range(self.num_params):\n self.runner[i] = self.runner[i] + grad_params[i] ** 2\n new_params.append(params[i] - self.lr / (np.sqrt(self.runner[i]) + 1e-08) * grad_params[i])\nreturn new_par... | <|body_start_0|>
self.lr = lr
self.num_params = num_params
self.runner = [0 for _ in range(num_params)]
<|end_body_0|>
<|body_start_1|>
new_params = []
for i in range(self.num_params):
self.runner[i] = self.runner[i] + grad_params[i] ** 2
new_params.appen... | Adagrad | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Adagrad:
def __init__(self, num_params, lr=0.00146):
"""Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which the gradient step should be taken(integer/float), default is 0.00146"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_019835 | 10,861 | no_license | [
{
"docstring": "Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which the gradient step should be taken(integer/float), default is 0.00146",
"name": "__init__",
"signature": "def __init__(self, num_params, lr=0.00146)"
... | 2 | stack_v2_sparse_classes_30k_val_000885 | Implement the Python class `Adagrad` described below.
Class description:
Implement the Adagrad class.
Method signatures and docstrings:
- def __init__(self, num_params, lr=0.00146): Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which... | Implement the Python class `Adagrad` described below.
Class description:
Implement the Adagrad class.
Method signatures and docstrings:
- def __init__(self, num_params, lr=0.00146): Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which... | 9406b21aef9b2d94091d570e809f88a752277e30 | <|skeleton|>
class Adagrad:
def __init__(self, num_params, lr=0.00146):
"""Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which the gradient step should be taken(integer/float), default is 0.00146"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Adagrad:
def __init__(self, num_params, lr=0.00146):
"""Initializer for Adagrad optimizer inputs: num params: number of parameters which are ought to be passed lr: The learning rate with which the gradient step should be taken(integer/float), default is 0.00146"""
self.lr = lr
self.num... | the_stack_v2_python_sparse | optimizers.py | viswambhar-yasa/AuToDiFf | train | 0 | |
b81029539ac0ebdd0109e8cf82af72bfcaeccf8c | [
"iap_util.AddIapIamResourceArgs(parser)\niap_util.AddAddIamPolicyBindingArgs(parser)\nbase.URI_FLAG.RemoveFromParser(parser)",
"condition = iam_util.ValidateAndExtractConditionMutexRole(args)\niap_iam_ref = iap_util.ParseIapIamResource(self.ReleaseTrack(), args)\nreturn iap_iam_ref.AddIamPolicyBinding(args.member... | <|body_start_0|>
iap_util.AddIapIamResourceArgs(parser)
iap_util.AddAddIamPolicyBindingArgs(parser)
base.URI_FLAG.RemoveFromParser(parser)
<|end_body_0|>
<|body_start_1|>
condition = iam_util.ValidateAndExtractConditionMutexRole(args)
iap_iam_ref = iap_util.ParseIapIamResource(s... | Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of how to specify an IAP IAM resource. | AddIamPolicyBinding | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AddIamPolicyBinding:
"""Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of how to specify an IAP IAM resource."""
... | stack_v2_sparse_classes_36k_train_019836 | 3,523 | permissive | [
{
"docstring": "Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring": "This is what gets called when the... | 2 | null | Implement the Python class `AddIamPolicyBinding` described below.
Class description:
Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of ... | Implement the Python class `AddIamPolicyBinding` described below.
Class description:
Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of ... | 85bb264e273568b5a0408f733b403c56373e2508 | <|skeleton|>
class AddIamPolicyBinding:
"""Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of how to specify an IAP IAM resource."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AddIamPolicyBinding:
"""Add IAM policy binding to an IAP IAM resource. Adds a policy binding to the IAM policy of an IAP IAM resource. One binding consists of a member, a role, and an optional condition. See $ {parent_command} get-iam-policy for examples of how to specify an IAP IAM resource."""
def Args... | the_stack_v2_python_sparse | google-cloud-sdk/lib/surface/iap/web/add_iam_policy_binding.py | bopopescu/socialliteapp | train | 0 |
deb05ec793a2c4a0967862f916fed512abe816ae | [
"ne = self.maxCommonLength(str2)\nn, m = (len(str1), len(str2))\ni, j = (0, 0)\nwhile i < n and j < m:\n if j == -1 or str1[i] == str2[j]:\n i += 1\n j += 1\n else:\n j = ne[j]\nif j == m:\n return i - j\nelse:\n return None",
"l = len(str)\nidx = list()\ni, j = (1, 0)\nm = 0\nidx... | <|body_start_0|>
ne = self.maxCommonLength(str2)
n, m = (len(str1), len(str2))
i, j = (0, 0)
while i < n and j < m:
if j == -1 or str1[i] == str2[j]:
i += 1
j += 1
else:
j = ne[j]
if j == m:
retur... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, str1, str2):
"""这是求最长公共子串 :param str: :return: rstr"""
<|body_0|>
def maxCommonLength(self, str):
"""返回一个数组，数组包括每段字符串的最大前缀公共串的长度m 没有m时就置变量为-1 :param str: :return:"""
<|body_1|>
def longestPalindrome2(self, s):
... | stack_v2_sparse_classes_36k_train_019837 | 1,606 | no_license | [
{
"docstring": "这是求最长公共子串 :param str: :return: rstr",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, str1, str2)"
},
{
"docstring": "返回一个数组，数组包括每段字符串的最大前缀公共串的长度m 没有m时就置变量为-1 :param str: :return:",
"name": "maxCommonLength",
"signature": "def maxCommonLength(self, ... | 3 | stack_v2_sparse_classes_30k_train_011065 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, str1, str2): 这是求最长公共子串 :param str: :return: rstr
- def maxCommonLength(self, str): 返回一个数组，数组包括每段字符串的最大前缀公共串的长度m 没有m时就置变量为-1 :param str: :return:
- def... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, str1, str2): 这是求最长公共子串 :param str: :return: rstr
- def maxCommonLength(self, str): 返回一个数组，数组包括每段字符串的最大前缀公共串的长度m 没有m时就置变量为-1 :param str: :return:
- def... | cd746c37e0a44dc80c5c5177450769908a38fee5 | <|skeleton|>
class Solution:
def longestPalindrome(self, str1, str2):
"""这是求最长公共子串 :param str: :return: rstr"""
<|body_0|>
def maxCommonLength(self, str):
"""返回一个数组，数组包括每段字符串的最大前缀公共串的长度m 没有m时就置变量为-1 :param str: :return:"""
<|body_1|>
def longestPalindrome2(self, s):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestPalindrome(self, str1, str2):
"""这是求最长公共子串 :param str: :return: rstr"""
ne = self.maxCommonLength(str2)
n, m = (len(str1), len(str2))
i, j = (0, 0)
while i < n and j < m:
if j == -1 or str1[i] == str2[j]:
i += 1
... | the_stack_v2_python_sparse | leetcode/LongestPalindrome.py | Sparkoor/learning | train | 0 | |
b3218b1f63512719bf13a8f67966abd43290d8ef | [
"if model._meta.app_label in self.route_app_labels:\n return self.using\nreturn None",
"if model._meta.app_label in self.route_app_labels:\n return self.using\nreturn None",
"if obj1._meta.app_label in self.route_app_labels or obj2._meta.app_label in self.route_app_labels:\n return True\nreturn None",
... | <|body_start_0|>
if model._meta.app_label in self.route_app_labels:
return self.using
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label in self.route_app_labels:
return self.using
return None
<|end_body_1|>
<|body_start_2|>
if obj1._me... | A router to control all database operations on models in the auth application. | UserRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write auth ... | stack_v2_sparse_classes_36k_train_019838 | 3,768 | no_license | [
{
"docstring": "Attempts to read auth models go to auth_db.",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Attempts to write auth models go to auth_db.",
"name": "db_for_write",
"signature": "def db_for_write(self, model, **hints)"
},
... | 4 | null | Implement the Python class `UserRouter` described below.
Class description:
A router to control all database operations on models in the auth application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to auth_db.
- def db_for_write(self, model, **hints): At... | Implement the Python class `UserRouter` described below.
Class description:
A router to control all database operations on models in the auth application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to auth_db.
- def db_for_write(self, model, **hints): At... | 23d31fbeddcd303a7dc90ac9cfbe2c762d61c61e | <|skeleton|>
class UserRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write auth ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
if model._meta.app_label in self.route_app_labels:
return self.using
return None
... | the_stack_v2_python_sparse | ultratech_fare/settings/routers.py | KONASANI-0143/Dev | train | 0 |
cb75e8f343370ef052790f90866f439072ce71a7 | [
"q1 = Path([P(0, 0), P(50, 50), P(100, 0), P(0, 0)])\nq2 = Path([P(0, 0), P(-50, -50), P(-100, 0), P(0, 0)])\na = xsarea(q1, X(), q2, X())\nself.assertAlmostEqual(a, 0)",
"q1 = quadrato(P(0, 0), 100)\na = xsarea(q1, X(), q1, xlate(P(50, 50)))\nself.assertAlmostEqual(a, 2500)",
"q1 = quadrato(P(0, 0), 100)\nq2 =... | <|body_start_0|>
q1 = Path([P(0, 0), P(50, 50), P(100, 0), P(0, 0)])
q2 = Path([P(0, 0), P(-50, -50), P(-100, 0), P(0, 0)])
a = xsarea(q1, X(), q2, X())
self.assertAlmostEqual(a, 0)
<|end_body_0|>
<|body_start_1|>
q1 = quadrato(P(0, 0), 100)
a = xsarea(q1, X(), q1, xlate... | TestXSArea | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestXSArea:
def testAreeNonConnesse(self):
"""Due path si intersecano solo in un punto"""
<|body_0|>
def testQuadratoSovrapposto(self):
"""Quadrato di area 10000 sovrapposto a se stesso per 1/4."""
<|body_1|>
def testQuadratiSovrapposti(self):
""... | stack_v2_sparse_classes_36k_train_019839 | 1,739 | no_license | [
{
"docstring": "Due path si intersecano solo in un punto",
"name": "testAreeNonConnesse",
"signature": "def testAreeNonConnesse(self)"
},
{
"docstring": "Quadrato di area 10000 sovrapposto a se stesso per 1/4.",
"name": "testQuadratoSovrapposto",
"signature": "def testQuadratoSovrapposto... | 5 | null | Implement the Python class `TestXSArea` described below.
Class description:
Implement the TestXSArea class.
Method signatures and docstrings:
- def testAreeNonConnesse(self): Due path si intersecano solo in un punto
- def testQuadratoSovrapposto(self): Quadrato di area 10000 sovrapposto a se stesso per 1/4.
- def tes... | Implement the Python class `TestXSArea` described below.
Class description:
Implement the TestXSArea class.
Method signatures and docstrings:
- def testAreeNonConnesse(self): Due path si intersecano solo in un punto
- def testQuadratoSovrapposto(self): Quadrato di area 10000 sovrapposto a se stesso per 1/4.
- def tes... | 11d5f06c9e79cc45a0e849fdfedf73004133e792 | <|skeleton|>
class TestXSArea:
def testAreeNonConnesse(self):
"""Due path si intersecano solo in un punto"""
<|body_0|>
def testQuadratoSovrapposto(self):
"""Quadrato di area 10000 sovrapposto a se stesso per 1/4."""
<|body_1|>
def testQuadratiSovrapposti(self):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestXSArea:
def testAreeNonConnesse(self):
"""Due path si intersecano solo in un punto"""
q1 = Path([P(0, 0), P(50, 50), P(100, 0), P(0, 0)])
q2 = Path([P(0, 0), P(-50, -50), P(-100, 0), P(0, 0)])
a = xsarea(q1, X(), q2, X())
self.assertAlmostEqual(a, 0)
def testQu... | the_stack_v2_python_sparse | src/geo2d/test_xsarea.py | rbianchi66/pyqt_md | train | 0 | |
b558a76131e8bcbc35b033bb3809cea087f2641b | [
"if model._meta.app_label == 'orion_flash':\n return 'orion_aux_db'\nreturn None",
"if model._meta.app_label == 'orion_flash':\n return 'orion_aux_db'\nreturn None",
"if obj1._state.db == 'orion_aux_db' and obj2._state.db == 'orion_aux_db':\n return True\nreturn None",
"if app_label == 'orion_flash':... | <|body_start_0|>
if model._meta.app_label == 'orion_flash':
return 'orion_aux_db'
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label == 'orion_flash':
return 'orion_aux_db'
return None
<|end_body_1|>
<|body_start_2|>
if obj1._state.db =... | database router class for the orion auxiliary database | OrionAuxRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrionAuxRouter:
"""database router class for the orion auxiliary database"""
def db_for_read(self, model, **hints):
"""all models in orion_flash will read from the orion auxiliary database"""
<|body_0|>
def db_for_write(self, model, **hints):
"""all models in ori... | stack_v2_sparse_classes_36k_train_019840 | 1,525 | no_license | [
{
"docstring": "all models in orion_flash will read from the orion auxiliary database",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "all models in orion_flash will write to the orion auxiliary database",
"name": "db_for_write",
"signature... | 4 | stack_v2_sparse_classes_30k_train_001667 | Implement the Python class `OrionAuxRouter` described below.
Class description:
database router class for the orion auxiliary database
Method signatures and docstrings:
- def db_for_read(self, model, **hints): all models in orion_flash will read from the orion auxiliary database
- def db_for_write(self, model, **hint... | Implement the Python class `OrionAuxRouter` described below.
Class description:
database router class for the orion auxiliary database
Method signatures and docstrings:
- def db_for_read(self, model, **hints): all models in orion_flash will read from the orion auxiliary database
- def db_for_write(self, model, **hint... | 08bf0cc90e4d63a84fcd4e35bf5d196430c43319 | <|skeleton|>
class OrionAuxRouter:
"""database router class for the orion auxiliary database"""
def db_for_read(self, model, **hints):
"""all models in orion_flash will read from the orion auxiliary database"""
<|body_0|>
def db_for_write(self, model, **hints):
"""all models in ori... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrionAuxRouter:
"""database router class for the orion auxiliary database"""
def db_for_read(self, model, **hints):
"""all models in orion_flash will read from the orion auxiliary database"""
if model._meta.app_label == 'orion_flash':
return 'orion_aux_db'
return None
... | the_stack_v2_python_sparse | orion_flash/router.py | PHSAServiceOperationsCenter/PHSA-SOC | train | 0 |
5356c0ee44f62f2c08ff4ff75157e085f853766c | [
"super(Application, self).__init__(master)\nself.grid()\nself.create_widgets()",
"self.inst_lbl = Label(self, text='Enter password for the secret of longevity')\nself.pw_lbl = Label(self, text='Password: ')\nself.pw_lbl.grid(row=1, column=0, sticky=W)\nself.pw_ent = Entry(self)\nself.pw_ent.grid(row=1, column=1, ... | <|body_start_0|>
super(Application, self).__init__(master)
self.grid()
self.create_widgets()
<|end_body_0|>
<|body_start_1|>
self.inst_lbl = Label(self, text='Enter password for the secret of longevity')
self.pw_lbl = Label(self, text='Password: ')
self.pw_lbl.grid(row=1... | GUI application which can reveal the secret of longevity. | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""GUI application which can reveal the secret of longevity."""
def __init__(self, master):
"""Initialize the frame."""
<|body_0|>
def create_widgets(self):
"""Create button, text, and entry widgets."""
<|body_1|>
def reveal(self):
... | stack_v2_sparse_classes_36k_train_019841 | 1,917 | no_license | [
{
"docstring": "Initialize the frame.",
"name": "__init__",
"signature": "def __init__(self, master)"
},
{
"docstring": "Create button, text, and entry widgets.",
"name": "create_widgets",
"signature": "def create_widgets(self)"
},
{
"docstring": "Display message based on passwor... | 3 | stack_v2_sparse_classes_30k_train_013504 | Implement the Python class `Application` described below.
Class description:
GUI application which can reveal the secret of longevity.
Method signatures and docstrings:
- def __init__(self, master): Initialize the frame.
- def create_widgets(self): Create button, text, and entry widgets.
- def reveal(self): Display m... | Implement the Python class `Application` described below.
Class description:
GUI application which can reveal the secret of longevity.
Method signatures and docstrings:
- def __init__(self, master): Initialize the frame.
- def create_widgets(self): Create button, text, and entry widgets.
- def reveal(self): Display m... | e1947161426cf53eba96debc641f058ee8cf47e3 | <|skeleton|>
class Application:
"""GUI application which can reveal the secret of longevity."""
def __init__(self, master):
"""Initialize the frame."""
<|body_0|>
def create_widgets(self):
"""Create button, text, and entry widgets."""
<|body_1|>
def reveal(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Application:
"""GUI application which can reveal the secret of longevity."""
def __init__(self, master):
"""Initialize the frame."""
super(Application, self).__init__(master)
self.grid()
self.create_widgets()
def create_widgets(self):
"""Create button, text, a... | the_stack_v2_python_sparse | Python_Programming_for_the_Absolute_Beginner/10_logevity.py | wzlwit/python | train | 0 |
d8e24afe50a6eb2d72ce119617733112ecade97e | [
"self._start = to_datetime(start)\nself._end = to_datetime_rel(end, self._start)\ndt = to_fraction(timestep)\nself._timestep = dt\nn = int(to_fraction(self._end - self._start) / self._timestep) + 1\nTimeContainer.__init__(self, [self._start + to_timedelta(i * dt) for i in range(n)], init=init)\nself.start = self._s... | <|body_start_0|>
self._start = to_datetime(start)
self._end = to_datetime_rel(end, self._start)
dt = to_fraction(timestep)
self._timestep = dt
n = int(to_fraction(self._end - self._start) / self._timestep) + 1
TimeContainer.__init__(self, [self._start + to_timedelta(i * d... | !A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guideline: if it does not lie exactly on a timestep, the next timestep end is used... | TimeArray | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeArray:
"""!A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guideline: if it does not lie exactly on a ti... | stack_v2_sparse_classes_36k_train_019842 | 33,464 | permissive | [
{
"docstring": "!TimeArray constructor. @param start,end,timestep Specifies the equally-spaced times. @param init The initializer for data values. This is typically a constructor (dict, list, etc.) or a function that calls a constructor.",
"name": "__init__",
"signature": "def __init__(self, start, end,... | 2 | null | Implement the Python class `TimeArray` described below.
Class description:
!A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guidel... | Implement the Python class `TimeArray` described below.
Class description:
!A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guidel... | a666ac3b58d19f04249f76c9340f2e4a4a27939b | <|skeleton|>
class TimeArray:
"""!A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guideline: if it does not lie exactly on a ti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TimeArray:
"""!A time-indexed array that can only handle equally spaced times. This implements an array-like object that uses time as an index. It recognizes only discrete times as specified by a start, an end and a timestep. The end is only used as a guideline: if it does not lie exactly on a timestep, the n... | the_stack_v2_python_sparse | produtil/numerics.py | dtcenter/METplus | train | 41 |
a4e2e7ef5c28a9d9fed11a70909fa91c9dfed64a | [
"super(ObservationGroupEncoder, self).__init__()\nassert isinstance(observation_group_shapes, OrderedDict)\nassert np.all([isinstance(observation_group_shapes[k], OrderedDict) for k in observation_group_shapes])\nself.observation_group_shapes = observation_group_shapes\nself.nets = nn.ModuleDict()\nfor obs_group in... | <|body_start_0|>
super(ObservationGroupEncoder, self).__init__()
assert isinstance(observation_group_shapes, OrderedDict)
assert np.all([isinstance(observation_group_shapes[k], OrderedDict) for k in observation_group_shapes])
self.observation_group_shapes = observation_group_shapes
... | This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object. The class takes a dictionary of dictionaries, @observation_group_shapes. Each key corres... | ObservationGroupEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObservationGroupEncoder:
"""This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object. The class takes a dictionary of dicti... | stack_v2_sparse_classes_36k_train_019843 | 37,945 | permissive | [
{
"docstring": "Args: observation_group_shapes (OrderedDict): a dictionary of dictionaries. Each key in this dictionary should specify an observation group, and the value should be an OrderedDict that maps modalities to expected shapes. visual_feature_dimension (int): feature dimension to encode images into vis... | 4 | stack_v2_sparse_classes_30k_train_019871 | Implement the Python class `ObservationGroupEncoder` described below.
Class description:
This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object... | Implement the Python class `ObservationGroupEncoder` described below.
Class description:
This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object... | 2804dd97dd1625ec861298a35cb677129d3bfacc | <|skeleton|>
class ObservationGroupEncoder:
"""This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object. The class takes a dictionary of dicti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ObservationGroupEncoder:
"""This class allows networks to encode multiple observation dictionaries into a single flat, concatenated vector representation. It does this by assigning each observation dictionary (observation group) an @ObservationEncoder object. The class takes a dictionary of dictionaries, @obs... | the_stack_v2_python_sparse | robomimic/models/obs_nets.py | sohams-MASS/robomimic | train | 0 |
5270ca0a778c4850095a8808f8d62875333fae87 | [
"if len(key) not in key_size:\n raise ValueError('Incorrect key length for Salsa20 (%d bytes)' % len(key))\nif len(nonce) != 8:\n raise ValueError('Incorrect nonce length for Salsa20 (%d bytes)' % len(nonce))\nself.nonce = _copy_bytes(None, None, nonce)\nself._state = VoidPointer()\nresult = _raw_salsa20_lib.... | <|body_start_0|>
if len(key) not in key_size:
raise ValueError('Incorrect key length for Salsa20 (%d bytes)' % len(key))
if len(nonce) != 8:
raise ValueError('Incorrect nonce length for Salsa20 (%d bytes)' % len(nonce))
self.nonce = _copy_bytes(None, None, nonce)
... | Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string | Salsa20Cipher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Salsa20Cipher:
"""Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string"""
def __init__(self, key, nonce):
"""Initialize a Salsa20 cipher object See also `new()` at the module level."""
<|... | stack_v2_sparse_classes_36k_train_019844 | 6,349 | permissive | [
{
"docstring": "Initialize a Salsa20 cipher object See also `new()` at the module level.",
"name": "__init__",
"signature": "def __init__(self, key, nonce)"
},
{
"docstring": "Encrypt a piece of data. Args: plaintext(bytes/bytearray/memoryview): The data to encrypt, of any size. Keyword Args: ou... | 3 | stack_v2_sparse_classes_30k_train_017787 | Implement the Python class `Salsa20Cipher` described below.
Class description:
Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string
Method signatures and docstrings:
- def __init__(self, key, nonce): Initialize a Salsa20 cipher o... | Implement the Python class `Salsa20Cipher` described below.
Class description:
Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string
Method signatures and docstrings:
- def __init__(self, key, nonce): Initialize a Salsa20 cipher o... | fa82044a2dc2f0f1f7454f5394e6d68fa923c289 | <|skeleton|>
class Salsa20Cipher:
"""Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string"""
def __init__(self, key, nonce):
"""Initialize a Salsa20 cipher object See also `new()` at the module level."""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Salsa20Cipher:
"""Salsa20 cipher object. Do not create it directly. Use :py:func:`new` instead. :var nonce: The nonce with length 8 :vartype nonce: byte string"""
def __init__(self, key, nonce):
"""Initialize a Salsa20 cipher object See also `new()` at the module level."""
if len(key) not... | the_stack_v2_python_sparse | venv/lib/python3.6/site-packages/Crypto/Cipher/Salsa20.py | masora1030/eigoyurusan | train | 11 |
776db6c7e325fdb6c294486324a384ed712f7ea5 | [
"x = self.e(i)\neps = 0\nwhile x is not None:\n x = x.e(i)\n eps = eps + 1\nreturn eps",
"P = self[-1].parent().weight_lattice_realization()\nh = P.simple_coroots()\nomega = P(self.weight()).scalar(h[i])\nreturn self.epsilon(i) + omega",
"N = len(self) + 1\npos = None\nfor k in range(1, N):\n if all((s... | <|body_start_0|>
x = self.e(i)
eps = 0
while x is not None:
x = x.e(i)
eps = eps + 1
return eps
<|end_body_0|>
<|body_start_1|>
P = self[-1].parent().weight_lattice_realization()
h = P.simple_coroots()
omega = P(self.weight()).scalar(h[i])... | An element in the polyhedral realization of `B(\\infty)`. | Element | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Element:
"""An element in the polyhedral realization of `B(\\infty)`."""
def epsilon(self, i):
"""Return `\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_generators[0] sage: [mg.epsilon(i) for i in B.index_set()... | stack_v2_sparse_classes_36k_train_019845 | 13,619 | no_license | [
{
"docstring": "Return `\\\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_generators[0] sage: [mg.epsilon(i) for i in B.index_set()] [0, 0, 0] sage: elt = mg.f(0) sage: [elt.epsilon(i) for i in B.index_set()] [1, 0, 0] sage: elt = mg.f_str... | 5 | stack_v2_sparse_classes_30k_train_003560 | Implement the Python class `Element` described below.
Class description:
An element in the polyhedral realization of `B(\\infty)`.
Method signatures and docstrings:
- def epsilon(self, i): Return `\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_... | Implement the Python class `Element` described below.
Class description:
An element in the polyhedral realization of `B(\\infty)`.
Method signatures and docstrings:
- def epsilon(self, i): Return `\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class Element:
"""An element in the polyhedral realization of `B(\\infty)`."""
def epsilon(self, i):
"""Return `\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_generators[0] sage: [mg.epsilon(i) for i in B.index_set()... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Element:
"""An element in the polyhedral realization of `B(\\infty)`."""
def epsilon(self, i):
"""Return `\\varepsilon_i` of ``self``. EXAMPLES:: sage: B = crystals.infinity.PolyhedralRealization(['A',2,1]) sage: mg = B.module_generators[0] sage: [mg.epsilon(i) for i in B.index_set()] [0, 0, 0] s... | the_stack_v2_python_sparse | sage/src/sage/combinat/crystals/polyhedral_realization.py | bopopescu/geosci | train | 0 |
7b229e3fc17e32282f18286bada6cf5488c88977 | [
"deck = models.Deck.objects.get(id=deck_id, author=user_id)\nalgorithm = algorithms.algorithm_engine(deck)\nnext_card = algorithm.next_card_to_review()\nreturn next_card",
"deck = models.Deck.objects.get(id=deck_id, author=user_id)\ncard = models.Card.objects.get(id=card_id, deck=deck_id)\nalgorithm = algorithms.... | <|body_start_0|>
deck = models.Deck.objects.get(id=deck_id, author=user_id)
algorithm = algorithms.algorithm_engine(deck)
next_card = algorithm.next_card_to_review()
return next_card
<|end_body_0|>
<|body_start_1|>
deck = models.Deck.objects.get(id=deck_id, author=user_id)
... | Mixin for study related functions. Bridges the gap bewteen the API and the Database. | StudyOps | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StudyOps:
"""Mixin for study related functions. Bridges the gap bewteen the API and the Database."""
def get_next_card(self, user_id: str, deck_id: str) -> 'Card':
"""Gives the next card in the deck to be studied. FIXME will break if deck does not belong to user, but the exception is... | stack_v2_sparse_classes_36k_train_019846 | 1,794 | no_license | [
{
"docstring": "Gives the next card in the deck to be studied. FIXME will break if deck does not belong to user, but the exception is not well managed. :param deck_id: Deck to take the card from :param user_id: deck owner, for validation :returns: a database Card object.",
"name": "get_next_card",
"sign... | 2 | stack_v2_sparse_classes_30k_train_015408 | Implement the Python class `StudyOps` described below.
Class description:
Mixin for study related functions. Bridges the gap bewteen the API and the Database.
Method signatures and docstrings:
- def get_next_card(self, user_id: str, deck_id: str) -> 'Card': Gives the next card in the deck to be studied. FIXME will br... | Implement the Python class `StudyOps` described below.
Class description:
Mixin for study related functions. Bridges the gap bewteen the API and the Database.
Method signatures and docstrings:
- def get_next_card(self, user_id: str, deck_id: str) -> 'Card': Gives the next card in the deck to be studied. FIXME will br... | 212c7047f3ea2cc19eb490c14be9e51907943e51 | <|skeleton|>
class StudyOps:
"""Mixin for study related functions. Bridges the gap bewteen the API and the Database."""
def get_next_card(self, user_id: str, deck_id: str) -> 'Card':
"""Gives the next card in the deck to be studied. FIXME will break if deck does not belong to user, but the exception is... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StudyOps:
"""Mixin for study related functions. Bridges the gap bewteen the API and the Database."""
def get_next_card(self, user_id: str, deck_id: str) -> 'Card':
"""Gives the next card in the deck to be studied. FIXME will break if deck does not belong to user, but the exception is not well man... | the_stack_v2_python_sparse | backend/ebisu_flashcards/operations/study.py | ZanSara/ebisu-flashcards | train | 4 |
c6013f131a6b3e35cb594c75e7cd391dcc7d983f | [
"user = self.get_user(request, username)\nprofile, _ = Profile.objects.get_or_create(user=user)\nform = AvatarForm(data=request.POST)\ntimezones = ['[']\nfor val, text in TIMEZONES:\n timezones.append('{value: \"' + val + '\", text: \"' + text + '\"},')\ntimezones.append(']')\nreturn render(request, 'profile.htm... | <|body_start_0|>
user = self.get_user(request, username)
profile, _ = Profile.objects.get_or_create(user=user)
form = AvatarForm(data=request.POST)
timezones = ['[']
for val, text in TIMEZONES:
timezones.append('{value: "' + val + '", text: "' + text + '"},')
... | ProfileView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProfileView:
def get(self, request, username):
"""User profile."""
<|body_0|>
def post(self, request, username=None):
"""Update user callback."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user = self.get_user(request, username)
profile, _... | stack_v2_sparse_classes_36k_train_019847 | 30,576 | permissive | [
{
"docstring": "User profile.",
"name": "get",
"signature": "def get(self, request, username)"
},
{
"docstring": "Update user callback.",
"name": "post",
"signature": "def post(self, request, username=None)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000616 | Implement the Python class `ProfileView` described below.
Class description:
Implement the ProfileView class.
Method signatures and docstrings:
- def get(self, request, username): User profile.
- def post(self, request, username=None): Update user callback. | Implement the Python class `ProfileView` described below.
Class description:
Implement the ProfileView class.
Method signatures and docstrings:
- def get(self, request, username): User profile.
- def post(self, request, username=None): Update user callback.
<|skeleton|>
class ProfileView:
def get(self, request,... | 51a2ae2b29ae5c91a3cf7171f89edf225cc8a6f0 | <|skeleton|>
class ProfileView:
def get(self, request, username):
"""User profile."""
<|body_0|>
def post(self, request, username=None):
"""Update user callback."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProfileView:
def get(self, request, username):
"""User profile."""
user = self.get_user(request, username)
profile, _ = Profile.objects.get_or_create(user=user)
form = AvatarForm(data=request.POST)
timezones = ['[']
for val, text in TIMEZONES:
timezo... | the_stack_v2_python_sparse | tool/views/views.py | mikekeda/tools | train | 0 | |
3ff993c6982a3c4f7712f863c9235179958992fe | [
"self.locations = []\nself.facilities = []\nself.flow_mat = []\nself.distance_mat = []\nself.no_facilities = 0\nself.solution = None",
"self.solution = Solution(self.locations, self.facilities)\nself.solution.generate_permutation(len(self.locations))\nself.solution.calculate_cost()\nreturn self.solution",
"try:... | <|body_start_0|>
self.locations = []
self.facilities = []
self.flow_mat = []
self.distance_mat = []
self.no_facilities = 0
self.solution = None
<|end_body_0|>
<|body_start_1|>
self.solution = Solution(self.locations, self.facilities)
self.solution.generat... | QAP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QAP:
def __init__(self):
"""inicialización de propiedades"""
<|body_0|>
def random_solution(self):
"""generamos una solución aleatoria para comenzar"""
<|body_1|>
def read_data(self, filename=''):
"""read_data lee del archivo de pruebas el número... | stack_v2_sparse_classes_36k_train_019848 | 2,979 | no_license | [
{
"docstring": "inicialización de propiedades",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "generamos una solución aleatoria para comenzar",
"name": "random_solution",
"signature": "def random_solution(self)"
},
{
"docstring": "read_data lee del archi... | 3 | stack_v2_sparse_classes_30k_test_001175 | Implement the Python class `QAP` described below.
Class description:
Implement the QAP class.
Method signatures and docstrings:
- def __init__(self): inicialización de propiedades
- def random_solution(self): generamos una solución aleatoria para comenzar
- def read_data(self, filename=''): read_data lee del archivo ... | Implement the Python class `QAP` described below.
Class description:
Implement the QAP class.
Method signatures and docstrings:
- def __init__(self): inicialización de propiedades
- def random_solution(self): generamos una solución aleatoria para comenzar
- def read_data(self, filename=''): read_data lee del archivo ... | 6c100e2fb05f2278ef8b4153c9d3eeac9b19681c | <|skeleton|>
class QAP:
def __init__(self):
"""inicialización de propiedades"""
<|body_0|>
def random_solution(self):
"""generamos una solución aleatoria para comenzar"""
<|body_1|>
def read_data(self, filename=''):
"""read_data lee del archivo de pruebas el número... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QAP:
def __init__(self):
"""inicialización de propiedades"""
self.locations = []
self.facilities = []
self.flow_mat = []
self.distance_mat = []
self.no_facilities = 0
self.solution = None
def random_solution(self):
"""generamos una solución ... | the_stack_v2_python_sparse | QAP/Classes/QAP.py | JoseGzz/Research-ITESM | train | 1 | |
f85298f82023d6dfe91713fbad57ea8df6060061 | [
"try:\n return Person.objects.get(pk=user_id)\nexcept Person.DoesNotExist:\n return None",
"if phone:\n username = phone\nif not username or not password:\n return None\ntry:\n user = Person.objects.get(Q(pk=parse_int(username)) | Q(code=username) | Q(email=username) | Q(phone=username), status=Sta... | <|body_start_0|>
try:
return Person.objects.get(pk=user_id)
except Person.DoesNotExist:
return None
<|end_body_0|>
<|body_start_1|>
if phone:
username = phone
if not username or not password:
return None
try:
user = Per... | Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class | BoilerAuthenticator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BoilerAuthenticator:
"""Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class"""
def get_user(self, user_id):
"""this function is for getting a single user by pk Arguments: user_i... | stack_v2_sparse_classes_36k_train_019849 | 1,961 | no_license | [
{
"docstring": "this function is for getting a single user by pk Arguments: user_id {integer} Returns: User object",
"name": "get_user",
"signature": "def get_user(self, user_id)"
},
{
"docstring": "this function is basically used when anyone tries to login Arguments: username {string or integer... | 2 | stack_v2_sparse_classes_30k_train_006996 | Implement the Python class `BoilerAuthenticator` described below.
Class description:
Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class
Method signatures and docstrings:
- def get_user(self, user_id): this func... | Implement the Python class `BoilerAuthenticator` described below.
Class description:
Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class
Method signatures and docstrings:
- def get_user(self, user_id): this func... | 72520b4290971485ffd809cb0d17a7536862be23 | <|skeleton|>
class BoilerAuthenticator:
"""Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class"""
def get_user(self, user_id):
"""this function is for getting a single user by pk Arguments: user_i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BoilerAuthenticator:
"""Custom User Authenticator class. This class logs in using any of pk, code, email and username of an active user Arguments: object Returns: Authenticator class"""
def get_user(self, user_id):
"""this function is for getting a single user by pk Arguments: user_id {integer} R... | the_stack_v2_python_sparse | projectile/core/backends.py | kayes-shawon/DjangoRestApiWithGulpAngularBoilerPlate | train | 1 |
04d34252be10d3c9cdef35dfe9284544d1c5e319 | [
"Utils.validate_uuid(id_patient)\nif not Patient.objects.filter(id=id_patient).exists():\n raise ValidationError('The patient is not valid!')",
"return_value = {}\nreturn_value['person_id'] = PersonService.add_person({'street': patient_request['address']['street'], 'zip_code': patient_request['address']['zip_c... | <|body_start_0|>
Utils.validate_uuid(id_patient)
if not Patient.objects.filter(id=id_patient).exists():
raise ValidationError('The patient is not valid!')
<|end_body_0|>
<|body_start_1|>
return_value = {}
return_value['person_id'] = PersonService.add_person({'street': patien... | Service class for patient related operations | PatientService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PatientService:
"""Service class for patient related operations"""
def is_valid_patient(id_patient):
"""Checks if the specified patient exists :param id_patient: ID of patient to be checked"""
<|body_0|>
def add_patient(patient_request):
"""Method to add a new pa... | stack_v2_sparse_classes_36k_train_019850 | 4,931 | no_license | [
{
"docstring": "Checks if the specified patient exists :param id_patient: ID of patient to be checked",
"name": "is_valid_patient",
"signature": "def is_valid_patient(id_patient)"
},
{
"docstring": "Method to add a new patient :param patient_request: Incoming request :return: patient and person ... | 4 | stack_v2_sparse_classes_30k_test_000023 | Implement the Python class `PatientService` described below.
Class description:
Service class for patient related operations
Method signatures and docstrings:
- def is_valid_patient(id_patient): Checks if the specified patient exists :param id_patient: ID of patient to be checked
- def add_patient(patient_request): M... | Implement the Python class `PatientService` described below.
Class description:
Service class for patient related operations
Method signatures and docstrings:
- def is_valid_patient(id_patient): Checks if the specified patient exists :param id_patient: ID of patient to be checked
- def add_patient(patient_request): M... | 941e8b2870f8724db3d5103dda5157fd597cfcc7 | <|skeleton|>
class PatientService:
"""Service class for patient related operations"""
def is_valid_patient(id_patient):
"""Checks if the specified patient exists :param id_patient: ID of patient to be checked"""
<|body_0|>
def add_patient(patient_request):
"""Method to add a new pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PatientService:
"""Service class for patient related operations"""
def is_valid_patient(id_patient):
"""Checks if the specified patient exists :param id_patient: ID of patient to be checked"""
Utils.validate_uuid(id_patient)
if not Patient.objects.filter(id=id_patient).exists():
... | the_stack_v2_python_sparse | backend/martin_helder/services/patient_service.py | JoaoAlvaroFerreira/FEUP-LGP | train | 1 |
490df29fb92ed8719e6a5d4f89fd4272e3f0b199 | [
"self.fromZoneType = fromZoneType\nif toZoneType is None:\n toZoneType = DISCARD_PILE\nself.toZoneType = toZoneType",
"fromZone = context.loadZone(self.fromZoneType)\ntoZone = context.loadZone(self.toZoneType)\nfor card in fromZone:\n coroutine = context.owner.gainCard(card, fromZone, toZone=toZone)\n tr... | <|body_start_0|>
self.fromZoneType = fromZoneType
if toZoneType is None:
toZoneType = DISCARD_PILE
self.toZoneType = toZoneType
<|end_body_0|>
<|body_start_1|>
fromZone = context.loadZone(self.fromZoneType)
toZone = context.loadZone(self.toZoneType)
for card ... | Represents an effect to Gain a card | GainCard | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GainCard:
"""Represents an effect to Gain a card"""
def __init__(self, fromZoneType, toZoneType=None):
"""Initialize the Effect with the card to remove from play before discarding"""
<|body_0|>
def perform(self, context):
"""Perform the Game Effect"""
<|b... | stack_v2_sparse_classes_36k_train_019851 | 948 | no_license | [
{
"docstring": "Initialize the Effect with the card to remove from play before discarding",
"name": "__init__",
"signature": "def __init__(self, fromZoneType, toZoneType=None)"
},
{
"docstring": "Perform the Game Effect",
"name": "perform",
"signature": "def perform(self, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012281 | Implement the Python class `GainCard` described below.
Class description:
Represents an effect to Gain a card
Method signatures and docstrings:
- def __init__(self, fromZoneType, toZoneType=None): Initialize the Effect with the card to remove from play before discarding
- def perform(self, context): Perform the Game ... | Implement the Python class `GainCard` described below.
Class description:
Represents an effect to Gain a card
Method signatures and docstrings:
- def __init__(self, fromZoneType, toZoneType=None): Initialize the Effect with the card to remove from play before discarding
- def perform(self, context): Perform the Game ... | 0b5a7573a3cf33430fe61e4ff8a8a7a0ae20b258 | <|skeleton|>
class GainCard:
"""Represents an effect to Gain a card"""
def __init__(self, fromZoneType, toZoneType=None):
"""Initialize the Effect with the card to remove from play before discarding"""
<|body_0|>
def perform(self, context):
"""Perform the Game Effect"""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GainCard:
"""Represents an effect to Gain a card"""
def __init__(self, fromZoneType, toZoneType=None):
"""Initialize the Effect with the card to remove from play before discarding"""
self.fromZoneType = fromZoneType
if toZoneType is None:
toZoneType = DISCARD_PILE
... | the_stack_v2_python_sparse | src/Game/Effects/gain_card.py | dfwarden/DeckBuilding | train | 0 |
f73c21481e642260dd50fd0f4b9d82ddc7b8798f | [
"super(CSVParser, self).__init__(*args, **kwargs)\nself.delimiter = kwargs.get('delimiter', ',')\nself.hasheader = kwargs.get('hasheader', True)\nself.lineterminator = kwargs.get('lineterminator', '\\n')\nself.quoting = kwargs.get('quoting', csv.QUOTE_MINIMAL)",
"super(CSVParser, self)._set_argparser_options()\ns... | <|body_start_0|>
super(CSVParser, self).__init__(*args, **kwargs)
self.delimiter = kwargs.get('delimiter', ',')
self.hasheader = kwargs.get('hasheader', True)
self.lineterminator = kwargs.get('lineterminator', '\n')
self.quoting = kwargs.get('quoting', csv.QUOTE_MINIMAL)
<|end_bo... | CSVParser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CSVParser:
def __init__(self, *args, **kwargs):
""":option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: Row delimiter :option quoting [int]: Quoting level"""
<|body_0|>
def _set_argparser_op... | stack_v2_sparse_classes_36k_train_019852 | 4,381 | no_license | [
{
"docstring": ":option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: Row delimiter :option quoting [int]: Quoting level",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": ... | 4 | stack_v2_sparse_classes_30k_train_013376 | Implement the Python class `CSVParser` described below.
Class description:
Implement the CSVParser class.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): :option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: R... | Implement the Python class `CSVParser` described below.
Class description:
Implement the CSVParser class.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): :option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: R... | d0b69daf20e230bded3b814d02ee08ca6c39f612 | <|skeleton|>
class CSVParser:
def __init__(self, *args, **kwargs):
""":option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: Row delimiter :option quoting [int]: Quoting level"""
<|body_0|>
def _set_argparser_op... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CSVParser:
def __init__(self, *args, **kwargs):
""":option delimiter [str]: Column delimiter :option hasheader [bool]: Use first row in csv file as header row :option lineterminator [str]: Row delimiter :option quoting [int]: Quoting level"""
super(CSVParser, self).__init__(*args, **kwargs)
... | the_stack_v2_python_sparse | csvutils/parsers/builtins/csv.py | hhubbell/polytab | train | 0 | |
d87f92842b644fcf65afb05764ddeea07f0ecd33 | [
"create_pool_flow = linear_flow.Flow(constants.CREATE_POOL_FLOW)\ncreate_pool_flow.add(lifecycle_tasks.PoolToErrorOnRevertTask(requires=[constants.POOL_ID, constants.LISTENERS, constants.LOADBALANCER]))\ncreate_pool_flow.add(database_tasks.MarkPoolPendingCreateInDB(requires=constants.POOL_ID))\ncreate_pool_flow.add... | <|body_start_0|>
create_pool_flow = linear_flow.Flow(constants.CREATE_POOL_FLOW)
create_pool_flow.add(lifecycle_tasks.PoolToErrorOnRevertTask(requires=[constants.POOL_ID, constants.LISTENERS, constants.LOADBALANCER]))
create_pool_flow.add(database_tasks.MarkPoolPendingCreateInDB(requires=constan... | PoolFlows | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PoolFlows:
def get_create_pool_flow(self):
"""Create a flow to create a pool :returns: The flow for creating a pool"""
<|body_0|>
def get_delete_pool_flow(self):
"""Create a flow to delete a pool :returns: The flow for deleting a pool"""
<|body_1|>
def g... | stack_v2_sparse_classes_36k_train_019853 | 5,372 | permissive | [
{
"docstring": "Create a flow to create a pool :returns: The flow for creating a pool",
"name": "get_create_pool_flow",
"signature": "def get_create_pool_flow(self)"
},
{
"docstring": "Create a flow to delete a pool :returns: The flow for deleting a pool",
"name": "get_delete_pool_flow",
... | 4 | null | Implement the Python class `PoolFlows` described below.
Class description:
Implement the PoolFlows class.
Method signatures and docstrings:
- def get_create_pool_flow(self): Create a flow to create a pool :returns: The flow for creating a pool
- def get_delete_pool_flow(self): Create a flow to delete a pool :returns:... | Implement the Python class `PoolFlows` described below.
Class description:
Implement the PoolFlows class.
Method signatures and docstrings:
- def get_create_pool_flow(self): Create a flow to create a pool :returns: The flow for creating a pool
- def get_delete_pool_flow(self): Create a flow to delete a pool :returns:... | 0426285a41464a5015494584f109eed35a0d44db | <|skeleton|>
class PoolFlows:
def get_create_pool_flow(self):
"""Create a flow to create a pool :returns: The flow for creating a pool"""
<|body_0|>
def get_delete_pool_flow(self):
"""Create a flow to delete a pool :returns: The flow for deleting a pool"""
<|body_1|>
def g... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PoolFlows:
def get_create_pool_flow(self):
"""Create a flow to create a pool :returns: The flow for creating a pool"""
create_pool_flow = linear_flow.Flow(constants.CREATE_POOL_FLOW)
create_pool_flow.add(lifecycle_tasks.PoolToErrorOnRevertTask(requires=[constants.POOL_ID, constants.LIS... | the_stack_v2_python_sparse | octavia/controller/worker/v2/flows/pool_flows.py | openstack/octavia | train | 147 | |
4dd498c5771e025ac0ba9c15433a31104b0310dd | [
"if request.GET.get('code'):\n code = request.GET.get('code')\n auth_type = request.GET.get('auth_type', 'web')\n instance = AccessToken.update_access_token(code, auth_type=auth_type)\n if instance is None:\n return Response(dict(message='code 无效，请重新登录'), status=status.HTTP_401_UNAUTHORIZED)\n ... | <|body_start_0|>
if request.GET.get('code'):
code = request.GET.get('code')
auth_type = request.GET.get('auth_type', 'web')
instance = AccessToken.update_access_token(code, auth_type=auth_type)
if instance is None:
return Response(dict(message='cod... | WxLoginView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WxLoginView:
def get(self, request, *args, **kwargs):
"""获取登录链接"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""小程序端获取登录 Session"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if request.GET.get('code'):
code = request.GET.ge... | stack_v2_sparse_classes_36k_train_019854 | 3,730 | permissive | [
{
"docstring": "获取登录链接",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "小程序端获取登录 Session",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015183 | Implement the Python class `WxLoginView` described below.
Class description:
Implement the WxLoginView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 获取登录链接
- def post(self, request, *args, **kwargs): 小程序端获取登录 Session | Implement the Python class `WxLoginView` described below.
Class description:
Implement the WxLoginView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): 获取登录链接
- def post(self, request, *args, **kwargs): 小程序端获取登录 Session
<|skeleton|>
class WxLoginView:
def get(self, request, *a... | b8021250bf3d8cf7adc566deebdba55225148316 | <|skeleton|>
class WxLoginView:
def get(self, request, *args, **kwargs):
"""获取登录链接"""
<|body_0|>
def post(self, request, *args, **kwargs):
"""小程序端获取登录 Session"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WxLoginView:
def get(self, request, *args, **kwargs):
"""获取登录链接"""
if request.GET.get('code'):
code = request.GET.get('code')
auth_type = request.GET.get('auth_type', 'web')
instance = AccessToken.update_access_token(code, auth_type=auth_type)
if... | the_stack_v2_python_sparse | wxapp/views.py | lianxiaopang/camel-store-api | train | 0 | |
aec4e05b567dd771e14544f27f007cdf08280014 | [
"np.random.seed(106)\nself.params = dict()\nself.params['W1'] = weight_init_std * np.random.randn(input_size, hidden_size)\nself.params['b1'] = np.zeros(hidden_size)\nself.params['W2'] = weight_init_std * np.random.randn(hidden_size, output_size)\nself.params['b2'] = np.zeros(output_size)\nself.layers = OrderedDict... | <|body_start_0|>
np.random.seed(106)
self.params = dict()
self.params['W1'] = weight_init_std * np.random.randn(input_size, hidden_size)
self.params['b1'] = np.zeros(hidden_size)
self.params['W2'] = weight_init_std * np.random.randn(hidden_size, output_size)
self.params['... | TwoLayerNetwork | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TwoLayerNetwork:
def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01):
"""신경망의 구조 결정"""
<|body_0|>
def predict(self, x):
"""input x를 받아 Forwrd Propagation을 통해 예측된 output Y1 = self.layer['affine1].forward(x) Y2 = self.layer['relu].forward(Y1)... | stack_v2_sparse_classes_36k_train_019855 | 7,910 | no_license | [
{
"docstring": "신경망의 구조 결정",
"name": "__init__",
"signature": "def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01)"
},
{
"docstring": "input x를 받아 Forwrd Propagation을 통해 예측된 output Y1 = self.layer['affine1].forward(x) Y2 = self.layer['relu].forward(Y1) Y3 = self.layer[... | 5 | stack_v2_sparse_classes_30k_train_011908 | Implement the Python class `TwoLayerNetwork` described below.
Class description:
Implement the TwoLayerNetwork class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01): 신경망의 구조 결정
- def predict(self, x): input x를 받아 Forwrd Propagation을 통해 예측된 output Y1 ... | Implement the Python class `TwoLayerNetwork` described below.
Class description:
Implement the TwoLayerNetwork class.
Method signatures and docstrings:
- def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01): 신경망의 구조 결정
- def predict(self, x): input x를 받아 Forwrd Propagation을 통해 예측된 output Y1 ... | 99ddcadec0c93bd42113f6b5fbecd9171c030f8b | <|skeleton|>
class TwoLayerNetwork:
def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01):
"""신경망의 구조 결정"""
<|body_0|>
def predict(self, x):
"""input x를 받아 Forwrd Propagation을 통해 예측된 output Y1 = self.layer['affine1].forward(x) Y2 = self.layer['relu].forward(Y1)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TwoLayerNetwork:
def __init__(self, input_size, hidden_size, output_size, weight_init_std=0.01):
"""신경망의 구조 결정"""
np.random.seed(106)
self.params = dict()
self.params['W1'] = weight_init_std * np.random.randn(input_size, hidden_size)
self.params['b1'] = np.zeros(hidden_... | the_stack_v2_python_sparse | ch05_Back_Propagation/ex10_MNIST_Two_Layer_NN_Propagation.py | handaeho/lab_dl | train | 0 | |
8d95f93edceb47bdb8c06c9c407fb390e01d4fc7 | [
"AssessmentResults.__init__(self, controller, **kwargs)\nself._lst_labels.append(u'π<sub>C</sub>:')\nself._lst_labels.append(u'π<sub>CYC</sub>:')\nself._lst_labels.append(u'π<sub>F</sub>:')\nself._lst_labels.append(u'π<sub>L</sub>:')\nself._lblModel.set_tooltip_markup(_(u\"The assessment model used to calculate the... | <|body_start_0|>
AssessmentResults.__init__(self, controller, **kwargs)
self._lst_labels.append(u'π<sub>C</sub>:')
self._lst_labels.append(u'π<sub>CYC</sub>:')
self._lst_labels.append(u'π<sub>F</sub>:')
self._lst_labels.append(u'π<sub>L</sub>:')
self._lblModel.set_tooltip... | Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count and MIL-HDBK-217FN2 part stress methods. The attributes of a relay assessment result vie... | RelayAssessmentResults | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RelayAssessmentResults:
"""Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count and MIL-HDBK-217FN2 part stress method... | stack_v2_sparse_classes_36k_train_019856 | 25,536 | permissive | [
{
"docstring": "Initialize an instance of the Relay assessment result view. :param controller: the hardware data controller instance. :type controller: :class:`ramstk.hardware.Controller.HardwareBoMDataController`",
"name": "__init__",
"signature": "def __init__(self, controller, **kwargs)"
},
{
... | 5 | null | Implement the Python class `RelayAssessmentResults` described below.
Class description:
Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count... | Implement the Python class `RelayAssessmentResults` described below.
Class description:
Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count... | 488ffed8b842399ddcae93007de6c6f1dda23d05 | <|skeleton|>
class RelayAssessmentResults:
"""Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count and MIL-HDBK-217FN2 part stress method... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RelayAssessmentResults:
"""Display Relay assessment results attribute data in the RAMSTK Work Book. The Relay assessment result view displays all the assessment results for the selected relay. This includes, currently, results for MIL-HDBK-217FN2 parts count and MIL-HDBK-217FN2 part stress methods. The attrib... | the_stack_v2_python_sparse | src/ramstk/gui/gtk/workviews/components/Relay.py | JmiXIII/ramstk | train | 0 |
b48d0cc3a0347ee9da7f29b18238dfea97c8f00f | [
"assert IGSContentManagerFolderMarker in providedBy(folder)\nself.context = self.folder = folder\nself.__tree = None",
"if self.__tree is None:\n self.__tree = self.get_tree(self.get_root(self.folder))\nretval = self.__tree\nassert retval\nassert len(retval) == 2\nassert IGSContentManagerFolderMarker in provid... | <|body_start_0|>
assert IGSContentManagerFolderMarker in providedBy(folder)
self.context = self.folder = folder
self.__tree = None
<|end_body_0|>
<|body_start_1|>
if self.__tree is None:
self.__tree = self.get_tree(self.get_root(self.folder))
retval = self.__tree
... | A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (node, children). | PageTree | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (... | stack_v2_sparse_classes_36k_train_019857 | 5,595 | permissive | [
{
"docstring": "Create a tree. ARGUMENTS folder A folder, any folder, in the tree.",
"name": "__init__",
"signature": "def __init__(self, folder)"
},
{
"docstring": "Get the tree as a 2-tuple: (node, children). Each child is represented as a 2-tuple of (node, children).",
"name": "tree",
... | 4 | stack_v2_sparse_classes_30k_train_018624 | Implement the Python class `PageTree` described below.
Class description:
A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. P... | Implement the Python class `PageTree` described below.
Class description:
A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. P... | 2fd8d708f378eb1bde4a7331f724f4c9a3b974ae | <|skeleton|>
class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PageTree:
"""A representation of a tree of pages as a list of lists. The methods here are old-skool COSC121 depth-first tree walking algorithms. The class itself is just a big ol' wrapper for the "tree" property. I remember this being a lot more difficult. PROPERTIES tree The tree as a 2-tuple: (node, childre... | the_stack_v2_python_sparse | Products/GSContentManager/pagetree.py | groupserver/Products.GSContentManager | train | 0 |
008acc477c6de384db81166439581d21a3140acd | [
"vals = []\n\ndef preOrder(root):\n if not root:\n vals.append('#')\n else:\n vals.append(str(root.val))\n preOrder(root.left)\n preOrder(root.right)\npreOrder(root)\nreturn ' '.join(vals)",
"vals = collections.deque((val for val in data.split()))\n\ndef build():\n if vals:\n ... | <|body_start_0|>
vals = []
def preOrder(root):
if not root:
vals.append('#')
else:
vals.append(str(root.val))
preOrder(root.left)
preOrder(root.right)
preOrder(root)
return ' '.join(vals)
<|end_body_... | 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_019858 | 17,936 | 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 | stack_v2_sparse_classes_30k_train_006257 | 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:... | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | <|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"""
vals = []
def preOrder(root):
if not root:
vals.append('#')
else:
vals.append(str(root.val))
preOrder(roo... | the_stack_v2_python_sparse | leetcode_python/Tree/serialize-and-deserialize-binary-tree.py | yennanliu/CS_basics | train | 64 | |
8eb943f0ad70308aecd62c854f0bab9804d1f651 | [
"def reverse(pre, cur):\n if cur is None:\n return pre\n tmp = cur.next\n cur.next = pre\n return reverse(cur, tmp)\nreturn reverse(None, head)",
"if head is None or head.next is None:\n return head\npre, cur = (None, head)\nwhile cur is not None:\n tmp = cur.next\n cur.next = pre\n ... | <|body_start_0|>
def reverse(pre, cur):
if cur is None:
return pre
tmp = cur.next
cur.next = pre
return reverse(cur, tmp)
return reverse(None, head)
<|end_body_0|>
<|body_start_1|>
if head is None or head.next is None:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList(self, head):
"""递归方式"""
<|body_0|>
def reverseList_1(self, head):
"""双指针法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def reverse(pre, cur):
if cur is None:
return pre
tmp = cur.n... | stack_v2_sparse_classes_36k_train_019859 | 815 | no_license | [
{
"docstring": "递归方式",
"name": "reverseList",
"signature": "def reverseList(self, head)"
},
{
"docstring": "双指针法",
"name": "reverseList_1",
"signature": "def reverseList_1(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): 递归方式
- def reverseList_1(self, head): 双指针法 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList(self, head): 递归方式
- def reverseList_1(self, head): 双指针法
<|skeleton|>
class Solution:
def reverseList(self, head):
"""递归方式"""
<|body_0|>
... | be46de7cdd29557c01d4b89f1c2f638e055b6d70 | <|skeleton|>
class Solution:
def reverseList(self, head):
"""递归方式"""
<|body_0|>
def reverseList_1(self, head):
"""双指针法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseList(self, head):
"""递归方式"""
def reverse(pre, cur):
if cur is None:
return pre
tmp = cur.next
cur.next = pre
return reverse(cur, tmp)
return reverse(None, head)
def reverseList_1(self, head):
... | the_stack_v2_python_sparse | python/No206.py | OhOHOh/LeetCodePractice | train | 0 | |
3539fe6196ff26c70e775659deea8c40b007165b | [
"self.bgcolor = bgcolor\nself.size = size\nself.scale_mode = scale_mode\nself.colormap = colormap\nself.mode = mode\nself.scale_factor = scale_factor\nself.show_axes = show_axes\nself.show_outline = show_outline\nself.show_colorbar = show_colorbar\nself.show_fig = show_fig\nself.view = view\nself.gpu = gpu\nself.fi... | <|body_start_0|>
self.bgcolor = bgcolor
self.size = size
self.scale_mode = scale_mode
self.colormap = colormap
self.mode = mode
self.scale_factor = scale_factor
self.show_axes = show_axes
self.show_outline = show_outline
self.show_colorbar = show_c... | 三维quiver图，需要确定画图的文件夹 | quiver3D | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class quiver3D:
"""三维quiver图，需要确定画图的文件夹"""
def __init__(self, bgcolor=None, size=(1080, 720), scale_mode='vector', colormap='bwr', mode='arrow', scale_factor=1e-09, show_outline=False, show_axes=False, show_colorbar=True, show_fig=True, view=np.array([[90, 180]]), gpu=False, fig_format='.png', sav... | stack_v2_sparse_classes_36k_train_019860 | 5,858 | no_license | [
{
"docstring": "bgcolor:tuple,背景颜色：(1,1,1) size:tuple,图片大小 (1080,720) scale_mode:str,颜色模式：scalar/vector colormap:str,'bwr','coolwarm' mode:str,arrow,cone,cube.... scale_factor：float,缩放 show_outline:bool,显示外框 show_axes:bool,显示坐标轴 view:array,视图 gpu:bool fig_format:str,图片格式",
"name": "__init__",
"signature... | 2 | stack_v2_sparse_classes_30k_train_008061 | Implement the Python class `quiver3D` described below.
Class description:
三维quiver图，需要确定画图的文件夹
Method signatures and docstrings:
- def __init__(self, bgcolor=None, size=(1080, 720), scale_mode='vector', colormap='bwr', mode='arrow', scale_factor=1e-09, show_outline=False, show_axes=False, show_colorbar=True, show_fig... | Implement the Python class `quiver3D` described below.
Class description:
三维quiver图，需要确定画图的文件夹
Method signatures and docstrings:
- def __init__(self, bgcolor=None, size=(1080, 720), scale_mode='vector', colormap='bwr', mode='arrow', scale_factor=1e-09, show_outline=False, show_axes=False, show_colorbar=True, show_fig... | b851c5988c8abcfdc911cb84f3290e849e83a9f6 | <|skeleton|>
class quiver3D:
"""三维quiver图，需要确定画图的文件夹"""
def __init__(self, bgcolor=None, size=(1080, 720), scale_mode='vector', colormap='bwr', mode='arrow', scale_factor=1e-09, show_outline=False, show_axes=False, show_colorbar=True, show_fig=True, view=np.array([[90, 180]]), gpu=False, fig_format='.png', sav... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class quiver3D:
"""三维quiver图，需要确定画图的文件夹"""
def __init__(self, bgcolor=None, size=(1080, 720), scale_mode='vector', colormap='bwr', mode='arrow', scale_factor=1e-09, show_outline=False, show_axes=False, show_colorbar=True, show_fig=True, view=np.array([[90, 180]]), gpu=False, fig_format='.png', save_path=os.get... | the_stack_v2_python_sparse | mpy0.1/tool/quiver3d.py | plenari/omfPython | train | 5 |
70e8eb95c6b9c68515cee4f5988c88118c55a7a8 | [
"self._attr_name = name\nself._file_path = file_path\nself._attr_native_unit_of_measurement = unit_of_measurement\nself._val_tpl = value_template",
"try:\n with FileReadBackwards(self._file_path, encoding='utf-8') as file_data:\n for line in file_data:\n data = line\n break\n ... | <|body_start_0|>
self._attr_name = name
self._file_path = file_path
self._attr_native_unit_of_measurement = unit_of_measurement
self._val_tpl = value_template
<|end_body_0|>
<|body_start_1|>
try:
with FileReadBackwards(self._file_path, encoding='utf-8') as file_data:... | Implementation of a file sensor. | FileSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileSensor:
"""Implementation of a file sensor."""
def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None:
"""Initialize the file sensor."""
<|body_0|>
def update(self) -> None:
"""Get the latest en... | stack_v2_sparse_classes_36k_train_019861 | 3,083 | permissive | [
{
"docstring": "Initialize the file sensor.",
"name": "__init__",
"signature": "def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None"
},
{
"docstring": "Get the latest entry from a file and updates the state.",
"name": "updat... | 2 | null | Implement the Python class `FileSensor` described below.
Class description:
Implementation of a file sensor.
Method signatures and docstrings:
- def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None: Initialize the file sensor.
- def update(self) -> No... | Implement the Python class `FileSensor` described below.
Class description:
Implementation of a file sensor.
Method signatures and docstrings:
- def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None: Initialize the file sensor.
- def update(self) -> No... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class FileSensor:
"""Implementation of a file sensor."""
def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None:
"""Initialize the file sensor."""
<|body_0|>
def update(self) -> None:
"""Get the latest en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileSensor:
"""Implementation of a file sensor."""
def __init__(self, name: str, file_path: str, unit_of_measurement: str | None, value_template: Template | None) -> None:
"""Initialize the file sensor."""
self._attr_name = name
self._file_path = file_path
self._attr_nativ... | the_stack_v2_python_sparse | homeassistant/components/file/sensor.py | home-assistant/core | train | 35,501 |
3e67135375e8e9ffc5c02e10c0562c42049e6251 | [
"if 'username' in request.COOKIES:\n username = request.COOKIES.get('username')\n checked = 'checked'\nelse:\n username = ''\n checked = ''\nreturn render(request, 'login.html', {'username': username, 'checked': checked})",
"username = request.POST.get('username')\npassword = request.POST.get('pwd')\n... | <|body_start_0|>
if 'username' in request.COOKIES:
username = request.COOKIES.get('username')
checked = 'checked'
else:
username = ''
checked = ''
return render(request, 'login.html', {'username': username, 'checked': checked})
<|end_body_0|>
<|bo... | 登录 | LoginView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginView:
"""登录"""
def get(self, request):
"""显示登陆页面"""
<|body_0|>
def post(self, request):
"""登录校验"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if 'username' in request.COOKIES:
username = request.COOKIES.get('username')
... | stack_v2_sparse_classes_36k_train_019862 | 11,775 | no_license | [
{
"docstring": "显示登陆页面",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "登录校验",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017364 | Implement the Python class `LoginView` described below.
Class description:
登录
Method signatures and docstrings:
- def get(self, request): 显示登陆页面
- def post(self, request): 登录校验 | Implement the Python class `LoginView` described below.
Class description:
登录
Method signatures and docstrings:
- def get(self, request): 显示登陆页面
- def post(self, request): 登录校验
<|skeleton|>
class LoginView:
"""登录"""
def get(self, request):
"""显示登陆页面"""
<|body_0|>
def post(self, request)... | 91293b05eb28697f5dec7f99a0f608904f6a0b1f | <|skeleton|>
class LoginView:
"""登录"""
def get(self, request):
"""显示登陆页面"""
<|body_0|>
def post(self, request):
"""登录校验"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LoginView:
"""登录"""
def get(self, request):
"""显示登陆页面"""
if 'username' in request.COOKIES:
username = request.COOKIES.get('username')
checked = 'checked'
else:
username = ''
checked = ''
return render(request, 'login.html', {... | the_stack_v2_python_sparse | dailyfresh/apps/user/views.py | IronmanJay/Python_Project | train | 15 |
382504403a478260e06aed3283dce1f607788acc | [
"super(MetaDice, self).__init__()\nassert method in ('2d', '3d'), method\nself.method = method\nself.reduce = reduce\nself.eps = eps\nself.weight = weight",
"assert pred.shape == target.shape, f'`pred` and `target` should have the same shape, given `pred`:{pred.shape}, `target`:{target.shape}.'\nassert not target... | <|body_start_0|>
super(MetaDice, self).__init__()
assert method in ('2d', '3d'), method
self.method = method
self.reduce = reduce
self.eps = eps
self.weight = weight
<|end_body_0|>
<|body_start_1|>
assert pred.shape == target.shape, f'`pred` and `target` should h... | 3D and 2D dice computator, not the loss | MetaDice | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MetaDice:
"""3D and 2D dice computator, not the loss"""
def __init__(self, method: str, weight: Tensor=None, reduce: bool=False, eps: float=1e-08) -> None:
""":param method must be in (2d, 3d) :param weight: Weight to be multipled to each class. :param eps: default to 1e-8 :param red... | stack_v2_sparse_classes_36k_train_019863 | 4,501 | permissive | [
{
"docstring": ":param method must be in (2d, 3d) :param weight: Weight to be multipled to each class. :param eps: default to 1e-8 :param reduce: if reduce classwise mean. mean on batch samples. :return:",
"name": "__init__",
"signature": "def __init__(self, method: str, weight: Tensor=None, reduce: boo... | 2 | stack_v2_sparse_classes_30k_train_004361 | Implement the Python class `MetaDice` described below.
Class description:
3D and 2D dice computator, not the loss
Method signatures and docstrings:
- def __init__(self, method: str, weight: Tensor=None, reduce: bool=False, eps: float=1e-08) -> None: :param method must be in (2d, 3d) :param weight: Weight to be multip... | Implement the Python class `MetaDice` described below.
Class description:
3D and 2D dice computator, not the loss
Method signatures and docstrings:
- def __init__(self, method: str, weight: Tensor=None, reduce: bool=False, eps: float=1e-08) -> None: :param method must be in (2d, 3d) :param weight: Weight to be multip... | 0721cbbb278af027409ed4c115ccc743b6daed1b | <|skeleton|>
class MetaDice:
"""3D and 2D dice computator, not the loss"""
def __init__(self, method: str, weight: Tensor=None, reduce: bool=False, eps: float=1e-08) -> None:
""":param method must be in (2d, 3d) :param weight: Weight to be multipled to each class. :param eps: default to 1e-8 :param red... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MetaDice:
"""3D and 2D dice computator, not the loss"""
def __init__(self, method: str, weight: Tensor=None, reduce: bool=False, eps: float=1e-08) -> None:
""":param method must be in (2d, 3d) :param weight: Weight to be multipled to each class. :param eps: default to 1e-8 :param reduce: if reduc... | the_stack_v2_python_sparse | deepclustering/loss/dice_loss.py | jizongFox/deep-clustering-toolbox | train | 37 |
ea7efe3f2db967c8ca5e0efb5874d60d5c33f20b | [
"self.queue = [0] * k\nself.headIndex = 0\nself.count = 0\nself.capacity = k\nself.queueLock = Lock()",
"with self.queueLock:\n if self.count == self.capacity:\n return False\n self.queue[(self.headIndex + self.count) % self.capacity] = value\n self.count += 1\nreturn True"
] | <|body_start_0|>
self.queue = [0] * k
self.headIndex = 0
self.count = 0
self.capacity = k
self.queueLock = Lock()
<|end_body_0|>
<|body_start_1|>
with self.queueLock:
if self.count == self.capacity:
return False
self.queue[(self.he... | MyCircularQueue | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyCircularQueue:
def __init__(self, k: int):
"""Initialize your data structure here. Set the size of the queue to be k."""
<|body_0|>
def enQueue(self, value: int) -> bool:
"""Insert an element into the circular queue. Return true if the operation is successful."""
... | stack_v2_sparse_classes_36k_train_019864 | 18,175 | no_license | [
{
"docstring": "Initialize your data structure here. Set the size of the queue to be k.",
"name": "__init__",
"signature": "def __init__(self, k: int)"
},
{
"docstring": "Insert an element into the circular queue. Return true if the operation is successful.",
"name": "enQueue",
"signatur... | 2 | stack_v2_sparse_classes_30k_train_013070 | Implement the Python class `MyCircularQueue` described below.
Class description:
Implement the MyCircularQueue class.
Method signatures and docstrings:
- def __init__(self, k: int): Initialize your data structure here. Set the size of the queue to be k.
- def enQueue(self, value: int) -> bool: Insert an element into ... | Implement the Python class `MyCircularQueue` described below.
Class description:
Implement the MyCircularQueue class.
Method signatures and docstrings:
- def __init__(self, k: int): Initialize your data structure here. Set the size of the queue to be k.
- def enQueue(self, value: int) -> bool: Insert an element into ... | 035ef08434fa1ca781a6fb2f9eed3538b7d20c02 | <|skeleton|>
class MyCircularQueue:
def __init__(self, k: int):
"""Initialize your data structure here. Set the size of the queue to be k."""
<|body_0|>
def enQueue(self, value: int) -> bool:
"""Insert an element into the circular queue. Return true if the operation is successful."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyCircularQueue:
def __init__(self, k: int):
"""Initialize your data structure here. Set the size of the queue to be k."""
self.queue = [0] * k
self.headIndex = 0
self.count = 0
self.capacity = k
self.queueLock = Lock()
def enQueue(self, value: int) -> bool... | the_stack_v2_python_sparse | leetcode_python/Queue/design_circular_queue.py | yennanliu/CS_basics | train | 64 | |
4eae8f0722c2b3deadc57599dddbe26e7cc15f0e | [
"if not m and (not n):\n return 0\ndp = [[0 for _ in range(n)] for _ in range(m)]\ndp[0][0] = matrix[0][0]\nfor j in range(1, n):\n dp[0][j] = dp[0][j - 1] + matrix[0][j]\nfor i in range(1, m):\n dp[i][0] = dp[i - 1][0] + matrix[i][0]\nfor i in range(1, m):\n for j in range(1, n):\n dp[i][j] = ma... | <|body_start_0|>
if not m and (not n):
return 0
dp = [[0 for _ in range(n)] for _ in range(m)]
dp[0][0] = matrix[0][0]
for j in range(1, n):
dp[0][j] = dp[0][j - 1] + matrix[0][j]
for i in range(1, m):
dp[i][0] = dp[i - 1][0] + matrix[i][0]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int:
"""统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:"""
<|body_0|>
def calMaxNum2(self, matrix: List[List[int]], m: int, n: int) -> int:
"""统计胡萝卜的最大数目(空间优化) :param matr... | stack_v2_sparse_classes_36k_train_019865 | 2,305 | no_license | [
{
"docstring": "统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:",
"name": "calMaxNum",
"signature": "def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int"
},
{
"docstring": "统计胡萝卜的最大数目(空间优化) :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:",
"na... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int: 统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:
- def calMaxNum2(self, matrix: List[Lis... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int: 统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:
- def calMaxNum2(self, matrix: List[Lis... | 32941ee052d0985a9569441d314378700ff4d225 | <|skeleton|>
class Solution:
def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int:
"""统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:"""
<|body_0|>
def calMaxNum2(self, matrix: List[List[int]], m: int, n: int) -> int:
"""统计胡萝卜的最大数目(空间优化) :param matr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def calMaxNum(self, matrix: List[List[int]], m: int, n: int) -> int:
"""统计胡萝卜的最大数目 :param matrix: 输入矩阵 :param m 矩阵的行数 :param n 矩阵的列数 :return:"""
if not m and (not n):
return 0
dp = [[0 for _ in range(n)] for _ in range(m)]
dp[0][0] = matrix[0][0]
f... | the_stack_v2_python_sparse | cecilia-python/others/CalMaxPathNum.py | Cecilia520/algorithmic-learning-leetcode | train | 7 | |
1a7c66eed58c3019f4e47dbdef190ad3e3ebb54b | [
"if e in self.vals and self.vals[e] < 1:\n pass\nelif e in self.vals:\n self.vals[e] -= 1\n ASet.unmodified[e] = False\nelse:\n pass",
"if self.vals[e] == 0:\n return False\nelif e in self.vals and e not in ASet.unmodified:\n return True\nelse:\n return False"
] | <|body_start_0|>
if e in self.vals and self.vals[e] < 1:
pass
elif e in self.vals:
self.vals[e] -= 1
ASet.unmodified[e] = False
else:
pass
<|end_body_0|>
<|body_start_1|>
if self.vals[e] == 0:
return False
elif e in sel... | ASet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ASet:
def remove(self, e):
"""assumes e is hashable removes e from self"""
<|body_0|>
def is_in(self, e):
"""assumes e is hashable returns True if e has been inserted in self and not subsequently removed, and False otherwise."""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_019866 | 5,303 | no_license | [
{
"docstring": "assumes e is hashable removes e from self",
"name": "remove",
"signature": "def remove(self, e)"
},
{
"docstring": "assumes e is hashable returns True if e has been inserted in self and not subsequently removed, and False otherwise.",
"name": "is_in",
"signature": "def is... | 2 | null | Implement the Python class `ASet` described below.
Class description:
Implement the ASet class.
Method signatures and docstrings:
- def remove(self, e): assumes e is hashable removes e from self
- def is_in(self, e): assumes e is hashable returns True if e has been inserted in self and not subsequently removed, and F... | Implement the Python class `ASet` described below.
Class description:
Implement the ASet class.
Method signatures and docstrings:
- def remove(self, e): assumes e is hashable removes e from self
- def is_in(self, e): assumes e is hashable returns True if e has been inserted in self and not subsequently removed, and F... | 4e8727154a24c7a1d05361a559a997c8d076480d | <|skeleton|>
class ASet:
def remove(self, e):
"""assumes e is hashable removes e from self"""
<|body_0|>
def is_in(self, e):
"""assumes e is hashable returns True if e has been inserted in self and not subsequently removed, and False otherwise."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ASet:
def remove(self, e):
"""assumes e is hashable removes e from self"""
if e in self.vals and self.vals[e] < 1:
pass
elif e in self.vals:
self.vals[e] -= 1
ASet.unmodified[e] = False
else:
pass
def is_in(self, e):
... | the_stack_v2_python_sparse | 01_MIT_Learning/00_final_exam/final_problem_6_pt3.py | daftstar/learn_python | train | 0 | |
48195e0256d65b7e000ebbf4dca34128f0705b22 | [
"from ._mumps import DMumpsContext\nLinSolver.__init__(self, prop)\nself.name = 'mumps'\nif prop == self.UNSYMMETRIC:\n self.mumps = DMumpsContext(par=1, sym=0)\nelif prop == self.SYMMETRIC:\n self.mumps = DMumpsContext(par=1, sym=2)\nelse:\n raise ValueError('invalid property')\nself.mumps.set_silent()\ns... | <|body_start_0|>
from ._mumps import DMumpsContext
LinSolver.__init__(self, prop)
self.name = 'mumps'
if prop == self.UNSYMMETRIC:
self.mumps = DMumpsContext(par=1, sym=0)
elif prop == self.SYMMETRIC:
self.mumps = DMumpsContext(par=1, sym=2)
else:
... | Linear solver based on MUMPS. | LinSolverMUMPS | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinSolverMUMPS:
"""Linear solver based on MUMPS."""
def __init__(self, prop='unsymmetric'):
"""Linear solver based on MUMPS."""
<|body_0|>
def analyze(self, A):
"""Analyzes structure of A. Parameters ---------- A : matrix For symmetric systems, should contain onl... | stack_v2_sparse_classes_36k_train_019867 | 2,725 | permissive | [
{
"docstring": "Linear solver based on MUMPS.",
"name": "__init__",
"signature": "def __init__(self, prop='unsymmetric')"
},
{
"docstring": "Analyzes structure of A. Parameters ---------- A : matrix For symmetric systems, should contain only lower diagonal part.",
"name": "analyze",
"sig... | 5 | stack_v2_sparse_classes_30k_train_021245 | Implement the Python class `LinSolverMUMPS` described below.
Class description:
Linear solver based on MUMPS.
Method signatures and docstrings:
- def __init__(self, prop='unsymmetric'): Linear solver based on MUMPS.
- def analyze(self, A): Analyzes structure of A. Parameters ---------- A : matrix For symmetric system... | Implement the Python class `LinSolverMUMPS` described below.
Class description:
Linear solver based on MUMPS.
Method signatures and docstrings:
- def __init__(self, prop='unsymmetric'): Linear solver based on MUMPS.
- def analyze(self, A): Analyzes structure of A. Parameters ---------- A : matrix For symmetric system... | 9103b99e6bc3517c7052ab075cbc5bdad310a25a | <|skeleton|>
class LinSolverMUMPS:
"""Linear solver based on MUMPS."""
def __init__(self, prop='unsymmetric'):
"""Linear solver based on MUMPS."""
<|body_0|>
def analyze(self, A):
"""Analyzes structure of A. Parameters ---------- A : matrix For symmetric systems, should contain onl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinSolverMUMPS:
"""Linear solver based on MUMPS."""
def __init__(self, prop='unsymmetric'):
"""Linear solver based on MUMPS."""
from ._mumps import DMumpsContext
LinSolver.__init__(self, prop)
self.name = 'mumps'
if prop == self.UNSYMMETRIC:
self.mumps ... | the_stack_v2_python_sparse | optalg/lin_solver/mumps.py | ttinoco/OPTALG | train | 10 |
cd3b3d6a7bb19d188620791432a74139229a3d81 | [
"if not a:\n return b[k]\nif not b:\n return a[k]\nia, ib = (len(a) // 2, len(b) // 2)\nma, mb = (a[ia], b[ib])\nif ia + ib < k:\n if ma > mb:\n return self.kth(a, b[ib + 1:], k - ib - 1)\n else:\n return self.kth(a[ia + 1:], b, k - ia - 1)\nelif ma > mb:\n return self.kth(a[:ia], b, k)... | <|body_start_0|>
if not a:
return b[k]
if not b:
return a[k]
ia, ib = (len(a) // 2, len(b) // 2)
ma, mb = (a[ia], b[ib])
if ia + ib < k:
if ma > mb:
return self.kth(a, b[ib + 1:], k - ib - 1)
else:
re... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def kth(self, a, b, k):
"""寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:"""
<|body_0|>
def findMedianSortedArrays(self, nums1, nums2):
"""奇数: 找出nums1, nums2中的第m+n//2大的数 偶数: eg: [1,2],[3,4,5,6] -> m+n=6, 中位数index:2,3 = (m+n)//2-1,(m+n)//2 :ty... | stack_v2_sparse_classes_36k_train_019868 | 2,704 | no_license | [
{
"docstring": "寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:",
"name": "kth",
"signature": "def kth(self, a, b, k)"
},
{
"docstring": "奇数: 找出nums1, nums2中的第m+n//2大的数 偶数: eg: [1,2],[3,4,5,6] -> m+n=6, 中位数index:2,3 = (m+n)//2-1,(m+n)//2 :type nums1: List[int] :type nums2: List[int... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kth(self, a, b, k): 寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:
- def findMedianSortedArrays(self, nums1, nums2): 奇数: 找出nums1, nums2中的第m+n//2大的数 偶数: eg: [1,... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kth(self, a, b, k): 寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:
- def findMedianSortedArrays(self, nums1, nums2): 奇数: 找出nums1, nums2中的第m+n//2大的数 偶数: eg: [1,... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def kth(self, a, b, k):
"""寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:"""
<|body_0|>
def findMedianSortedArrays(self, nums1, nums2):
"""奇数: 找出nums1, nums2中的第m+n//2大的数 偶数: eg: [1,2],[3,4,5,6] -> m+n=6, 中位数index:2,3 = (m+n)//2-1,(m+n)//2 :ty... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def kth(self, a, b, k):
"""寻找两个排序数组中第k小的数 :param a: 数组1 :param b: 数组2 :param k: :return:"""
if not a:
return b[k]
if not b:
return a[k]
ia, ib = (len(a) // 2, len(b) // 2)
ma, mb = (a[ia], b[ib])
if ia + ib < k:
if m... | the_stack_v2_python_sparse | 4_寻找两个有序数组的中位数.py | lovehhf/LeetCode | train | 0 | |
7fab7d663a19374823121e2d99e1a4af22498918 | [
"super(ExclusionFilter, self).__init__(order)\nself.info = 'Filters search results based on a exclusion list.'\nself.exclusion_list_string = ' '.join(filter(str.isalpha, terms.replace('+', ' ').lower().split()))\nself.filter_fields = ['title', 'summary']\nfor field in customFields:\n self.filter_fields.append(fi... | <|body_start_0|>
super(ExclusionFilter, self).__init__(order)
self.info = 'Filters search results based on a exclusion list.'
self.exclusion_list_string = ' '.join(filter(str.isalpha, terms.replace('+', ' ').lower().split()))
self.filter_fields = ['title', 'summary']
for field in... | Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if appearing in the result, will cause it to be rejected - separated by "+'s" * customF... | ExclusionFilter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExclusionFilter:
"""Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if appearing in the result, will cause it to... | stack_v2_sparse_classes_36k_train_019869 | 3,745 | permissive | [
{
"docstring": "Constructor for ExclusionFilter.",
"name": "__init__",
"signature": "def __init__(self, order=0, terms='', customFields=[])"
},
{
"docstring": "Removes results that includes words contained in exclusion list. Parameters: * exclusion_list_string: terms which, if found, will cause ... | 3 | stack_v2_sparse_classes_30k_train_019892 | Implement the Python class `ExclusionFilter` described below.
Class description:
Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if ap... | Implement the Python class `ExclusionFilter` described below.
Class description:
Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if ap... | ed72aee466649bd834d5b4459eb6e0173df6e2ec | <|skeleton|>
class ExclusionFilter:
"""Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if appearing in the result, will cause it to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExclusionFilter:
"""Filters search results based on a list of words to exclude, if any of these are found the result in question is rejected. Options: * order (int): defines when, in the pipeline, this filter will be executed * terms (str): terms that, if appearing in the result, will cause it to be rejected ... | the_stack_v2_python_sparse | reference-code/puppy/result/filter/exclusionfilter.py | Granvanoeli/ifind | train | 0 |
4fc5b8a135c695c5b24b11096175f6145308383b | [
"\"\"\"\n :type name: str \n :rtype: int\n \"\"\"\nself.name = name",
"self.prob = prob\nself.R = R\nif self.name == 'Binomial':\n return np.where(self.prob <= 1 - self.R, 1, 0)\nelse:\n print('Not available!')\n return []"
] | <|body_start_0|>
"""
:type name: str
:rtype: int
"""
self.name = name
<|end_body_0|>
<|body_start_1|>
self.prob = prob
self.R = R
if self.name == 'Binomial':
return np.where(self.prob <= 1 - self.R, 1, 0)
else:... | Indicator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Indicator:
def __init__(self, name):
"""Constructor for this class."""
<|body_0|>
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
:type name: str ... | stack_v2_sparse_classes_36k_train_019870 | 771 | permissive | [
{
"docstring": "Constructor for this class.",
"name": "__init__",
"signature": "def __init__(self, name)"
},
{
"docstring": ":type pi: float :type R: float :rtype: int",
"name": "Binary_Indicator",
"signature": "def Binary_Indicator(self, prob, R)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014545 | Implement the Python class `Indicator` described below.
Class description:
Implement the Indicator class.
Method signatures and docstrings:
- def __init__(self, name): Constructor for this class.
- def Binary_Indicator(self, prob, R): :type pi: float :type R: float :rtype: int | Implement the Python class `Indicator` described below.
Class description:
Implement the Indicator class.
Method signatures and docstrings:
- def __init__(self, name): Constructor for this class.
- def Binary_Indicator(self, prob, R): :type pi: float :type R: float :rtype: int
<|skeleton|>
class Indicator:
def ... | 0517780d05443cb77ce339db1854c298b87681e3 | <|skeleton|>
class Indicator:
def __init__(self, name):
"""Constructor for this class."""
<|body_0|>
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Indicator:
def __init__(self, name):
"""Constructor for this class."""
"""
:type name: str
:rtype: int
"""
self.name = name
def Binary_Indicator(self, prob, R):
""":type pi: float :type R: float :rtype: int"""
self.p... | the_stack_v2_python_sparse | brdt/Indicator.py | ericchen12377/BRDT-Python | train | 2 | |
2d43ee9133a47b53caef7d151d3fb3622d3d8ba1 | [
"self.test_data_true = dictionary_class_helper_true()\nself.test_data_false = dictionary_class_helper_false()\nself.sock_conn = socketconnection.SocketConnection(self.test_data_true.car_id)\nprint('Test suite: {}'.format(type(self).__name__))",
"dict_to_test_true = self.test_data_true.get_socket_dictionary()\nret... | <|body_start_0|>
self.test_data_true = dictionary_class_helper_true()
self.test_data_false = dictionary_class_helper_false()
self.sock_conn = socketconnection.SocketConnection(self.test_data_true.car_id)
print('Test suite: {}'.format(type(self).__name__))
<|end_body_0|>
<|body_start_1|>... | This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these tests will FAIL if testing on the actual database unless the database is updated with the r... | TestSocketConnection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSocketConnection:
"""This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these tests will FAIL if testing on the actual da... | stack_v2_sparse_classes_36k_train_019871 | 23,291 | no_license | [
{
"docstring": "It is necessary to instantiate the true data class and extract the relevant dictionary. A valid socket connection is also required.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test the connection",
"name": "test_socket_conn_true",
"signature": "de... | 3 | null | Implement the Python class `TestSocketConnection` described below.
Class description:
This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these test... | Implement the Python class `TestSocketConnection` described below.
Class description:
This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these test... | 8f68cc2a6ca568e803a6bfea49a452a5b0c1a2cf | <|skeleton|>
class TestSocketConnection:
"""This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these tests will FAIL if testing on the actual da... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSocketConnection:
"""This class tests :mod:`socketconnection` and by implication, also tests :mod:`socketresponder` and :mod:`masterpiresponder`. As such, it tests the raw socket, and requires database interaction to pass. .. warning:: Some of these tests will FAIL if testing on the actual database unless... | the_stack_v2_python_sparse | AgentPi/agenttesting.py | JiewenGuan/Iot-Carshare | train | 0 |
4c58f6ce4f5f92e69fa53334ce11acbf1e113b63 | [
"if not event.collided_entity_id:\n return\nskill = self.entities.find_entity_by_id(event.entity_id)\ntarget = self.entities.find_entity_by_id(event.collided_entity_id)\nskill_damage_component = skill.components.get('damaging_skill', None)\nskill_target_component = skill.components.get('point_ranged_targeted_ski... | <|body_start_0|>
if not event.collided_entity_id:
return
skill = self.entities.find_entity_by_id(event.entity_id)
target = self.entities.find_entity_by_id(event.collided_entity_id)
skill_damage_component = skill.components.get('damaging_skill', None)
skill_target_comp... | Damaging skill system. | DamagingSkillSystem | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DamagingSkillSystem:
"""Damaging skill system."""
def on_entity_collision(self, event):
"""Handle an entity skill usage."""
<|body_0|>
def on_entity_skill_usage(self, event):
"""Handle an entity skill usage."""
<|body_1|>
def perform_damage(self, ent... | stack_v2_sparse_classes_36k_train_019872 | 21,180 | permissive | [
{
"docstring": "Handle an entity skill usage.",
"name": "on_entity_collision",
"signature": "def on_entity_collision(self, event)"
},
{
"docstring": "Handle an entity skill usage.",
"name": "on_entity_skill_usage",
"signature": "def on_entity_skill_usage(self, event)"
},
{
"docst... | 3 | stack_v2_sparse_classes_30k_val_000130 | Implement the Python class `DamagingSkillSystem` described below.
Class description:
Damaging skill system.
Method signatures and docstrings:
- def on_entity_collision(self, event): Handle an entity skill usage.
- def on_entity_skill_usage(self, event): Handle an entity skill usage.
- def perform_damage(self, entity,... | Implement the Python class `DamagingSkillSystem` described below.
Class description:
Damaging skill system.
Method signatures and docstrings:
- def on_entity_collision(self, event): Handle an entity skill usage.
- def on_entity_skill_usage(self, event): Handle an entity skill usage.
- def perform_damage(self, entity,... | 1d84c2869a242a112e57c6cafc6da7329f9d0808 | <|skeleton|>
class DamagingSkillSystem:
"""Damaging skill system."""
def on_entity_collision(self, event):
"""Handle an entity skill usage."""
<|body_0|>
def on_entity_skill_usage(self, event):
"""Handle an entity skill usage."""
<|body_1|>
def perform_damage(self, ent... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DamagingSkillSystem:
"""Damaging skill system."""
def on_entity_collision(self, event):
"""Handle an entity skill usage."""
if not event.collided_entity_id:
return
skill = self.entities.find_entity_by_id(event.entity_id)
target = self.entities.find_entity_by_id... | the_stack_v2_python_sparse | akurra/skills.py | multatronic/akurra | train | 0 |
99090aa4fad4c9ba36cc4895c2779a3f4498a7c4 | [
"user = getattr(request._request, 'user', None)\nif not user or not user.is_active:\n return None\nself.enforce_csrf(request)\nreturn (user, None)",
"reason = CSRFCheck().process_view(request, None, (), {})\nif reason:\n raise exceptions.PermissionDenied('CSRF Failed: %s' % reason)"
] | <|body_start_0|>
user = getattr(request._request, 'user', None)
if not user or not user.is_active:
return None
self.enforce_csrf(request)
return (user, None)
<|end_body_0|>
<|body_start_1|>
reason = CSRFCheck().process_view(request, None, (), {})
if reason:
... | Use Django's session framework for authentication. | SessionAuthentication | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SessionAuthentication:
"""Use Django's session framework for authentication."""
def authenticate(self, request):
"""Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`."""
<|body_0|>
def enforce_csrf(self, request):
""... | stack_v2_sparse_classes_36k_train_019873 | 8,216 | permissive | [
{
"docstring": "Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`.",
"name": "authenticate",
"signature": "def authenticate(self, request)"
},
{
"docstring": "Enforce CSRF validation for session based authentication.",
"name": "enforce_csrf",
... | 2 | stack_v2_sparse_classes_30k_train_013688 | Implement the Python class `SessionAuthentication` described below.
Class description:
Use Django's session framework for authentication.
Method signatures and docstrings:
- def authenticate(self, request): Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`.
- def enforce... | Implement the Python class `SessionAuthentication` described below.
Class description:
Use Django's session framework for authentication.
Method signatures and docstrings:
- def authenticate(self, request): Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`.
- def enforce... | 7e3dedddbe821283d909393f333eed4acd452953 | <|skeleton|>
class SessionAuthentication:
"""Use Django's session framework for authentication."""
def authenticate(self, request):
"""Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`."""
<|body_0|>
def enforce_csrf(self, request):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SessionAuthentication:
"""Use Django's session framework for authentication."""
def authenticate(self, request):
"""Returns a `User` if the request session currently has a logged in user. Otherwise returns `None`."""
user = getattr(request._request, 'user', None)
if not user or no... | the_stack_v2_python_sparse | api/authentication.py | erigones/esdc-ce | train | 123 |
87ecd5518f3befb9afe7101947964df954e1d40e | [
"checked_choid: Set[ObjectId] = set()\nret: List[ChannelData] = []\nmissing = []\nch_oids = ProfileManager.get_users_exist_channel_dict([root_oid]).get(root_oid)\nif not ch_oids:\n return ret\nfor ch_model in ChannelManager.get_channel_default_name(keyword, hide_private=True):\n ch_oid = ch_model.id\n if c... | <|body_start_0|>
checked_choid: Set[ObjectId] = set()
ret: List[ChannelData] = []
missing = []
ch_oids = ProfileManager.get_users_exist_channel_dict([root_oid]).get(root_oid)
if not ch_oids:
return ret
for ch_model in ChannelManager.get_channel_default_name(ke... | Class to search for any types of identity data. | IdentitySearcher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdentitySearcher:
"""Class to search for any types of identity data."""
def search_channel(keyword: str, root_oid: ObjectId) -> List[ChannelData]:
"""Search the channels that the user ``root_oid`` is inside using ``keyword``. This search **hides** all private channels. Returned resul... | stack_v2_sparse_classes_36k_train_019874 | 4,634 | permissive | [
{
"docstring": "Search the channels that the user ``root_oid`` is inside using ``keyword``. This search **hides** all private channels. Returned result will be sorted by last message time (DESC) then by its ID (DESC). ----------- ``keyword`` can be: - partial word from the message of a channel - a part of the d... | 2 | stack_v2_sparse_classes_30k_train_013799 | Implement the Python class `IdentitySearcher` described below.
Class description:
Class to search for any types of identity data.
Method signatures and docstrings:
- def search_channel(keyword: str, root_oid: ObjectId) -> List[ChannelData]: Search the channels that the user ``root_oid`` is inside using ``keyword``. T... | Implement the Python class `IdentitySearcher` described below.
Class description:
Class to search for any types of identity data.
Method signatures and docstrings:
- def search_channel(keyword: str, root_oid: ObjectId) -> List[ChannelData]: Search the channels that the user ``root_oid`` is inside using ``keyword``. T... | c7da1e91783dce3a2b71b955b3a22b68db9056cf | <|skeleton|>
class IdentitySearcher:
"""Class to search for any types of identity data."""
def search_channel(keyword: str, root_oid: ObjectId) -> List[ChannelData]:
"""Search the channels that the user ``root_oid`` is inside using ``keyword``. This search **hides** all private channels. Returned resul... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdentitySearcher:
"""Class to search for any types of identity data."""
def search_channel(keyword: str, root_oid: ObjectId) -> List[ChannelData]:
"""Search the channels that the user ``root_oid`` is inside using ``keyword``. This search **hides** all private channels. Returned result will be sor... | the_stack_v2_python_sparse | mongodb/helper/search.py | RxJellyBot/Jelly-Bot | train | 5 |
ce2a3ecf1244f542f8f25a4a40481236a16f5041 | [
"try:\n response_root = response['body'].get('responseData', {})\n user_id = request.get('UserID', None)\n media_category = request.get('MediaCategory', None)\n media_s3_url = response_root.get('MediaS3URL', None)\n data_map = {'user_id': user_id, 'media_category': media_category, 'media_s3_url': med... | <|body_start_0|>
try:
response_root = response['body'].get('responseData', {})
user_id = request.get('UserID', None)
media_category = request.get('MediaCategory', None)
media_s3_url = response_root.get('MediaS3URL', None)
data_map = {'user_id': user_id... | DBhandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DBhandler:
def prepare_user_media_data_map(self, request=None, response=None):
"""prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request (object, EventBodyData), response (object, Issue response object)"""
<|body_0|>
def i... | stack_v2_sparse_classes_36k_train_019875 | 4,941 | no_license | [
{
"docstring": "prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request (object, EventBodyData), response (object, Issue response object)",
"name": "prepare_user_media_data_map",
"signature": "def prepare_user_media_data_map(self, request=None, respons... | 2 | null | Implement the Python class `DBhandler` described below.
Class description:
Implement the DBhandler class.
Method signatures and docstrings:
- def prepare_user_media_data_map(self, request=None, response=None): prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request ... | Implement the Python class `DBhandler` described below.
Class description:
Implement the DBhandler class.
Method signatures and docstrings:
- def prepare_user_media_data_map(self, request=None, response=None): prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request ... | bbe7c7e74313ed63d7765a16cf11fdf7f3ad706a | <|skeleton|>
class DBhandler:
def prepare_user_media_data_map(self, request=None, response=None):
"""prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request (object, EventBodyData), response (object, Issue response object)"""
<|body_0|>
def i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DBhandler:
def prepare_user_media_data_map(self, request=None, response=None):
"""prepare_user_media_data_map() => Preapares Data Map to insert data in 'user_media' table. params => request (object, EventBodyData), response (object, Issue response object)"""
try:
response_root = re... | the_stack_v2_python_sparse | skytrip/user_media/db_handler.py | NumanIbnMazid/reservation | train | 1 | |
5f565405eb588aac72b19d4ccb47838ed671753d | [
"rows, cols = (len(grid), len(grid[0]))\ndp = [[0] * cols for _ in range(rows)]\nfor row in range(rows - 1, -1, -1):\n for col in range(cols - 1, -1, -1):\n if row == rows - 1 and col != cols - 1:\n dp[row][col] = grid[row][col] + dp[row][col + 1]\n elif row != rows - 1 and col == cols -... | <|body_start_0|>
rows, cols = (len(grid), len(grid[0]))
dp = [[0] * cols for _ in range(rows)]
for row in range(rows - 1, -1, -1):
for col in range(cols - 1, -1, -1):
if row == rows - 1 and col != cols - 1:
dp[row][col] = grid[row][col] + dp[row][c... | Grid | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Grid:
def minimum_path_sum_2d(self, grid: List[List[int]]) -> int:
"""Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:"""
<|body_0|>
def minimum_path_sum_1d(self, grid: List[List[int]]) -> int:
"""Approach: DP (1D Array) T... | stack_v2_sparse_classes_36k_train_019876 | 2,968 | no_license | [
{
"docstring": "Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:",
"name": "minimum_path_sum_2d",
"signature": "def minimum_path_sum_2d(self, grid: List[List[int]]) -> int"
},
{
"docstring": "Approach: DP (1D Array) Time Complexity: O(MN) Space Comple... | 3 | null | Implement the Python class `Grid` described below.
Class description:
Implement the Grid class.
Method signatures and docstrings:
- def minimum_path_sum_2d(self, grid: List[List[int]]) -> int: Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:
- def minimum_path_sum_1d(self,... | Implement the Python class `Grid` described below.
Class description:
Implement the Grid class.
Method signatures and docstrings:
- def minimum_path_sum_2d(self, grid: List[List[int]]) -> int: Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:
- def minimum_path_sum_1d(self,... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Grid:
def minimum_path_sum_2d(self, grid: List[List[int]]) -> int:
"""Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:"""
<|body_0|>
def minimum_path_sum_1d(self, grid: List[List[int]]) -> int:
"""Approach: DP (1D Array) T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Grid:
def minimum_path_sum_2d(self, grid: List[List[int]]) -> int:
"""Approach: DP (2 D Array) Time Complexity: O(MN) Space Complexity: O(MN) :param grid: :return:"""
rows, cols = (len(grid), len(grid[0]))
dp = [[0] * cols for _ in range(rows)]
for row in range(rows - 1, -1, -1... | the_stack_v2_python_sparse | goldman_sachs/minimum_path_sum.py | Shiv2157k/leet_code | train | 1 | |
0ab0d79fde37438672846d9bdd2494e494043d58 | [
"initial_position = m3.pit.user_readback.get()\nnum = [31]\nstart = [-0.001]\nstop = [0.001]\nvertical = 30\nhorizontal = [75]\ninitial_vertical = extslt.vg.position\ninitial_horizontal = extslt.hg.position\ninitial_gcdiagy = gcdiag.y.position\nyield from gcdiag.grid\nyield from mv(extslt.vg, vertical)\nfor i in ra... | <|body_start_0|>
initial_position = m3.pit.user_readback.get()
num = [31]
start = [-0.001]
stop = [0.001]
vertical = 30
horizontal = [75]
initial_vertical = extslt.vg.position
initial_horizontal = extslt.hg.position
initial_gcdiagy = gcdiag.y.posit... | Defines class for alignment scans. Defines all attribute functions to align the beamline. | align_class | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class align_class:
"""Defines class for alignment scans. Defines all attribute functions to align the beamline."""
def m3pit(self):
"""Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.grid in three scans with decreasing range and exit slits,... | stack_v2_sparse_classes_36k_train_019877 | 4,385 | permissive | [
{
"docstring": "Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.grid in three scans with decreasing range and exit slits, but increasing accuracy. Parameters ---------- position : float, output position of the peak found after each M3 pitch scan, and is printed ... | 2 | stack_v2_sparse_classes_30k_train_011565 | Implement the Python class `align_class` described below.
Class description:
Defines class for alignment scans. Defines all attribute functions to align the beamline.
Method signatures and docstrings:
- def m3pit(self): Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.... | Implement the Python class `align_class` described below.
Class description:
Defines class for alignment scans. Defines all attribute functions to align the beamline.
Method signatures and docstrings:
- def m3pit(self): Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.... | 7cbd3ad2e1675aa14099be0aab00a6516ce7981d | <|skeleton|>
class align_class:
"""Defines class for alignment scans. Defines all attribute functions to align the beamline."""
def m3pit(self):
"""Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.grid in three scans with decreasing range and exit slits,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class align_class:
"""Defines class for alignment scans. Defines all attribute functions to align the beamline."""
def m3pit(self):
"""Aligns mirror M3 in three scans with increasing accuracy. Performs M3.pit scan detected at gcdiag.grid in three scans with decreasing range and exit slits, but increasi... | the_stack_v2_python_sparse | startup/43-alignment_scans.py | NSLS-II-SIX/profile_collection | train | 0 |
2ceae4d80edc8730bb994e6beb8da69a0ef13202 | [
"if kernel == 'multivariate_gaussian':\n kernel = ms_utils.multivariate_gaussian_kernel\nelif kernel == 'epanechnikov_kernel':\n kernel = ms_utils.epanechnikov_kernel\nself.kernel = kernel",
"if iteration_callback:\n iteration_callback(points, 0)\nshift_points = np.array(points)\nmax_min_dist = 1\ndist =... | <|body_start_0|>
if kernel == 'multivariate_gaussian':
kernel = ms_utils.multivariate_gaussian_kernel
elif kernel == 'epanechnikov_kernel':
kernel = ms_utils.epanechnikov_kernel
self.kernel = kernel
<|end_body_0|>
<|body_start_1|>
if iteration_callback:
... | MeanShift | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MeanShift:
def __init__(self, kernel=ms_utils.gaussian_kernel):
"""Inicializa el objeto meanshift, con un kernel"""
<|body_0|>
def cluster(self, points, distance, kernel_bandwidth, iteration_callback=None):
"""Recibe una lista de puntos, el tamaño de la distancia a t... | stack_v2_sparse_classes_36k_train_019878 | 3,781 | no_license | [
{
"docstring": "Inicializa el objeto meanshift, con un kernel",
"name": "__init__",
"signature": "def __init__(self, kernel=ms_utils.gaussian_kernel)"
},
{
"docstring": "Recibe una lista de puntos, el tamaño de la distancia a tener en cuenta al utilizar el Kernel, y un parametro para sacar los e... | 3 | stack_v2_sparse_classes_30k_train_004096 | Implement the Python class `MeanShift` described below.
Class description:
Implement the MeanShift class.
Method signatures and docstrings:
- def __init__(self, kernel=ms_utils.gaussian_kernel): Inicializa el objeto meanshift, con un kernel
- def cluster(self, points, distance, kernel_bandwidth, iteration_callback=No... | Implement the Python class `MeanShift` described below.
Class description:
Implement the MeanShift class.
Method signatures and docstrings:
- def __init__(self, kernel=ms_utils.gaussian_kernel): Inicializa el objeto meanshift, con un kernel
- def cluster(self, points, distance, kernel_bandwidth, iteration_callback=No... | 50df5e9566ec3a08a5096ca1b0e926db30f70761 | <|skeleton|>
class MeanShift:
def __init__(self, kernel=ms_utils.gaussian_kernel):
"""Inicializa el objeto meanshift, con un kernel"""
<|body_0|>
def cluster(self, points, distance, kernel_bandwidth, iteration_callback=None):
"""Recibe una lista de puntos, el tamaño de la distancia a t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MeanShift:
def __init__(self, kernel=ms_utils.gaussian_kernel):
"""Inicializa el objeto meanshift, con un kernel"""
if kernel == 'multivariate_gaussian':
kernel = ms_utils.multivariate_gaussian_kernel
elif kernel == 'epanechnikov_kernel':
kernel = ms_utils.epane... | the_stack_v2_python_sparse | pid/mean_shift_epanechnikov.py | frapercan/PID | train | 1 | |
07ed1f04c28173d59c618436933b0aa8b8452066 | [
"self.verbose = verbose\nif self.verbose:\n print('Loading lookup tables from', filename)\ngrid, bins, template = self.parse_fits_table(filename)\nx_bins, y_bins = bins\nself.interpolator = interpolate.LinearNDInterpolator(grid, template, fill_value=0)\nself.nearest_interpolator = interpolate.NearestNDInterpolat... | <|body_start_0|>
self.verbose = verbose
if self.verbose:
print('Loading lookup tables from', filename)
grid, bins, template = self.parse_fits_table(filename)
x_bins, y_bins = bins
self.interpolator = interpolate.LinearNDInterpolator(grid, template, fill_value=0)
... | This is a simple class for loading lookup tables from a fits file and interpolating between them | TableInterpolator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableInterpolator:
"""This is a simple class for loading lookup tables from a fits file and interpolating between them"""
def __init__(self, filename, verbose=1):
"""Initialisation of class to load templates from a file and create the interpolation objects Parameters ---------- filen... | stack_v2_sparse_classes_36k_train_019879 | 5,703 | permissive | [
{
"docstring": "Initialisation of class to load templates from a file and create the interpolation objects Parameters ---------- filename: string Location of Template file verbose: int Verbosity level, 0 = no logging 1 = File + interpolation point information 2 = Detailed description of interpolation points",
... | 4 | stack_v2_sparse_classes_30k_train_013180 | Implement the Python class `TableInterpolator` described below.
Class description:
This is a simple class for loading lookup tables from a fits file and interpolating between them
Method signatures and docstrings:
- def __init__(self, filename, verbose=1): Initialisation of class to load templates from a file and cre... | Implement the Python class `TableInterpolator` described below.
Class description:
This is a simple class for loading lookup tables from a fits file and interpolating between them
Method signatures and docstrings:
- def __init__(self, filename, verbose=1): Initialisation of class to load templates from a file and cre... | 10b058f8dcc166177d1eb5b2af638ca37722a021 | <|skeleton|>
class TableInterpolator:
"""This is a simple class for loading lookup tables from a fits file and interpolating between them"""
def __init__(self, filename, verbose=1):
"""Initialisation of class to load templates from a file and create the interpolation objects Parameters ---------- filen... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TableInterpolator:
"""This is a simple class for loading lookup tables from a fits file and interpolating between them"""
def __init__(self, filename, verbose=1):
"""Initialisation of class to load templates from a file and create the interpolation objects Parameters ---------- filename: string L... | the_stack_v2_python_sparse | ctapipe/utils/table_interpolator.py | cta-sst-1m/ctapipe | train | 1 |
7bd3067a99964878918d4302e738b48b829d8fc1 | [
"result = self._get_html(page_name)\nif result['success']:\n result['content'] = self._tidy_html(result['content'])\nreturn result",
"error_message = ''\nurl = 'https://en.wikipedia.org/wiki/%s' % page_name\ntry:\n response = requests.get(url, params={'action': 'render'}, timeout=5)\nexcept requests.excepti... | <|body_start_0|>
result = self._get_html(page_name)
if result['success']:
result['content'] = self._tidy_html(result['content'])
return result
<|end_body_0|>
<|body_start_1|>
error_message = ''
url = 'https://en.wikipedia.org/wiki/%s' % page_name
try:
... | WikipediaFetcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WikipediaFetcher:
def fetch(self, page_name):
"""Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy the HTML, strip out any elements we don't want and return the final HTML string. Returns a dict with two el... | stack_v2_sparse_classes_36k_train_019880 | 7,254 | no_license | [
{
"docstring": "Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy the HTML, strip out any elements we don't want and return the final HTML string. Returns a dict with two elements: 'success' is either True or, if we couldn't fetch... | 5 | stack_v2_sparse_classes_30k_train_007437 | Implement the Python class `WikipediaFetcher` described below.
Class description:
Implement the WikipediaFetcher class.
Method signatures and docstrings:
- def fetch(self, page_name): Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy th... | Implement the Python class `WikipediaFetcher` described below.
Class description:
Implement the WikipediaFetcher class.
Method signatures and docstrings:
- def fetch(self, page_name): Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy th... | c6d99f39046eb5309f3292bfb4edb8b008f37aeb | <|skeleton|>
class WikipediaFetcher:
def fetch(self, page_name):
"""Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy the HTML, strip out any elements we don't want and return the final HTML string. Returns a dict with two el... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WikipediaFetcher:
def fetch(self, page_name):
"""Passed a Wikipedia page's URL fragment, like 'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's main contents, tidy the HTML, strip out any elements we don't want and return the final HTML string. Returns a dict with two elements: 'succe... | the_stack_v2_python_sparse | pepysdiary/encyclopedia/wikipedia_fetcher.py | philgyford/pepysdiary | train | 16 | |
16ed1c8825d10f9148d9f33084c8e49d67afbe07 | [
"@lru_cache(None)\ndef dfs(index: int) -> int:\n if index == n:\n return 0\n curMax, remain = (0, shelfWidth)\n res = INF\n for select in range(1, n - index + 1):\n width, height = books[index + select - 1]\n if width > remain:\n break\n curMax = max(curMax, height... | <|body_start_0|>
@lru_cache(None)
def dfs(index: int) -> int:
if index == n:
return 0
curMax, remain = (0, shelfWidth)
res = INF
for select in range(1, n - index + 1):
width, height = books[index + select - 1]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int:
"""O(n^2) dfs[i]表示前i本书的高度之和最小值"""
<|body_0|>
def minHeightShelves2(self, books: List[List[int]], shelfWidth: int) -> int:
"""O(n^2) dp[i]表示前i本书的最小高度之和"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_36k_train_019881 | 2,367 | no_license | [
{
"docstring": "O(n^2) dfs[i]表示前i本书的高度之和最小值",
"name": "minHeightShelves",
"signature": "def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int"
},
{
"docstring": "O(n^2) dp[i]表示前i本书的最小高度之和",
"name": "minHeightShelves2",
"signature": "def minHeightShelves2(self, books:... | 2 | stack_v2_sparse_classes_30k_train_017743 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int: O(n^2) dfs[i]表示前i本书的高度之和最小值
- def minHeightShelves2(self, books: List[List[int]], shelfWidth: int) -> ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int: O(n^2) dfs[i]表示前i本书的高度之和最小值
- def minHeightShelves2(self, books: List[List[int]], shelfWidth: int) -> ... | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | <|skeleton|>
class Solution:
def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int:
"""O(n^2) dfs[i]表示前i本书的高度之和最小值"""
<|body_0|>
def minHeightShelves2(self, books: List[List[int]], shelfWidth: int) -> int:
"""O(n^2) dp[i]表示前i本书的最小高度之和"""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minHeightShelves(self, books: List[List[int]], shelfWidth: int) -> int:
"""O(n^2) dfs[i]表示前i本书的高度之和最小值"""
@lru_cache(None)
def dfs(index: int) -> int:
if index == n:
return 0
curMax, remain = (0, shelfWidth)
res = INF
... | the_stack_v2_python_sparse | 11_动态规划/经典题/dfs+cache/1105. 填充书架..py | 981377660LMT/algorithm-study | train | 225 | |
c850878e683141c17d0e4e16c25ae0d4d2c4c175 | [
"Presentation.__init__(self, pere, chapitre, attribut, False)\nif pere and chapitre:\n self.construire(chapitre)",
"titre = self.ajouter_choix('titre', 't', Uniligne, chapitre, 'titre')\ntitre.parent = self\ntitre.prompt = 'Titre du chapitre : '\ntitre.apercu = '{objet.titre}'\ntitre.aide_courte = 'Entrez le |... | <|body_start_0|>
Presentation.__init__(self, pere, chapitre, attribut, False)
if pere and chapitre:
self.construire(chapitre)
<|end_body_0|>
<|body_start_1|>
titre = self.ajouter_choix('titre', 't', Uniligne, chapitre, 'titre')
titre.parent = self
titre.prompt = 'Tit... | Ce contexte permet d'éditer un chapitre d'un livre. | EdtChapitre | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, chapitre):
"""Construction de l'éditeur"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k_train_019882 | 3,068 | permissive | [
{
"docstring": "Constructeur de l'éditeur",
"name": "__init__",
"signature": "def __init__(self, pere, chapitre=None, attribut=None)"
},
{
"docstring": "Construction de l'éditeur",
"name": "construire",
"signature": "def construire(self, chapitre)"
}
] | 2 | null | Implement the Python class `EdtChapitre` described below.
Class description:
Ce contexte permet d'éditer un chapitre d'un livre.
Method signatures and docstrings:
- def __init__(self, pere, chapitre=None, attribut=None): Constructeur de l'éditeur
- def construire(self, chapitre): Construction de l'éditeur | Implement the Python class `EdtChapitre` described below.
Class description:
Ce contexte permet d'éditer un chapitre d'un livre.
Method signatures and docstrings:
- def __init__(self, pere, chapitre=None, attribut=None): Constructeur de l'éditeur
- def construire(self, chapitre): Construction de l'éditeur
<|skeleton... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, chapitre):
"""Construction de l'éditeur"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
Presentation.__init__(self, pere, chapitre, attribut, False)
if pere and chapitre:
self.construire(chapitre)
... | the_stack_v2_python_sparse | src/primaires/objet/types/editeurs/chapitre.py | vincent-lg/tsunami | train | 5 |
e9c588c0f89c88cde8b41fb80b30db5f372bac47 | [
"config = kwargs.pop('config', None)\nif config is not None:\n self.config = config\nsuper(Configurable, self).__init__(**kwargs)\nself.created = datetime.datetime.now()",
"traits = self.traits(config=True)\nsection_names = [cls.__name__ for cls in reversed(self.__class__.__mro__) if issubclass(cls, Configurab... | <|body_start_0|>
config = kwargs.pop('config', None)
if config is not None:
self.config = config
super(Configurable, self).__init__(**kwargs)
self.created = datetime.datetime.now()
<|end_body_0|>
<|body_start_1|>
traits = self.traits(config=True)
section_name... | Configurable | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Configurable:
def __init__(self, **kwargs):
"""Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a :class:`Config` instance, it will be used to configure the instance. Notes ----- Subclasses of Config... | stack_v2_sparse_classes_36k_train_019883 | 5,849 | permissive | [
{
"docstring": "Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a :class:`Config` instance, it will be used to configure the instance. Notes ----- Subclasses of Configurable must call the :meth:`__init__` method of :class:... | 2 | stack_v2_sparse_classes_30k_train_015071 | Implement the Python class `Configurable` described below.
Class description:
Implement the Configurable class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a ... | Implement the Python class `Configurable` described below.
Class description:
Implement the Configurable class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a ... | 1cf44de3833929a4cf9e0069e8c75ef9086eeaca | <|skeleton|>
class Configurable:
def __init__(self, **kwargs):
"""Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a :class:`Config` instance, it will be used to configure the instance. Notes ----- Subclasses of Config... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Configurable:
def __init__(self, **kwargs):
"""Create a conigurable given a config config. Parameters ---------- config : Config If this is empty, default values are used. If config is a :class:`Config` instance, it will be used to configure the instance. Notes ----- Subclasses of Configurable must ca... | the_stack_v2_python_sparse | IPython/config/configurable.py | omazapa/ipython | train | 3 | |
b30b7ffe0406cbe4b5e32d45b05eebd33b047780 | [
"dtype = bittensor.serializer.torch_dtype_to_bittensor_dtype(torch_tensor.dtype)\nshape = list(torch_tensor.shape)\ntorch_numpy = torch_tensor.cpu().detach().numpy().copy()\ndata_buffer = msgpack.packb(torch_numpy, default=msgpack_numpy.encode)\ntorch_proto = bittensor.proto.Tensor(version=bittensor.__version_as_in... | <|body_start_0|>
dtype = bittensor.serializer.torch_dtype_to_bittensor_dtype(torch_tensor.dtype)
shape = list(torch_tensor.shape)
torch_numpy = torch_tensor.cpu().detach().numpy().copy()
data_buffer = msgpack.packb(torch_numpy, default=msgpack_numpy.encode)
torch_proto = bittenso... | Make conversion between torch and bittensor.proto.torch | MSGPackSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MSGPackSerializer:
"""Make conversion between torch and bittensor.proto.torch"""
def serialize_from_torch(self, torch_tensor: torch.Tensor, modality: bittensor.proto.Modality) -> bittensor.proto.Tensor:
"""Serializes a torch.Tensor to an bittensor Tensor proto. Args: torch_tensor (to... | stack_v2_sparse_classes_36k_train_019884 | 8,656 | permissive | [
{
"docstring": "Serializes a torch.Tensor to an bittensor Tensor proto. Args: torch_tensor (torch.Tensor): Torch tensor to serialize. modality (bittensor.proto.Modality): Datatype modality. i.e. TENSOR, TEXT, IMAGE Returns: bittensor.proto.Tensor: The serialized torch tensor as bittensor.proto.proto.",
"nam... | 2 | stack_v2_sparse_classes_30k_train_001394 | Implement the Python class `MSGPackSerializer` described below.
Class description:
Make conversion between torch and bittensor.proto.torch
Method signatures and docstrings:
- def serialize_from_torch(self, torch_tensor: torch.Tensor, modality: bittensor.proto.Modality) -> bittensor.proto.Tensor: Serializes a torch.Te... | Implement the Python class `MSGPackSerializer` described below.
Class description:
Make conversion between torch and bittensor.proto.torch
Method signatures and docstrings:
- def serialize_from_torch(self, torch_tensor: torch.Tensor, modality: bittensor.proto.Modality) -> bittensor.proto.Tensor: Serializes a torch.Te... | 9e6d2b9c6447e485b06a5def12a3e9f197735301 | <|skeleton|>
class MSGPackSerializer:
"""Make conversion between torch and bittensor.proto.torch"""
def serialize_from_torch(self, torch_tensor: torch.Tensor, modality: bittensor.proto.Modality) -> bittensor.proto.Tensor:
"""Serializes a torch.Tensor to an bittensor Tensor proto. Args: torch_tensor (to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MSGPackSerializer:
"""Make conversion between torch and bittensor.proto.torch"""
def serialize_from_torch(self, torch_tensor: torch.Tensor, modality: bittensor.proto.Modality) -> bittensor.proto.Tensor:
"""Serializes a torch.Tensor to an bittensor Tensor proto. Args: torch_tensor (torch.Tensor): ... | the_stack_v2_python_sparse | bittensor/_serializer/serializer_impl.py | shnwang/bittensor | train | 0 |
414491573713102416641f6723f66354db6ac025 | [
"obj = _GA(self, 'db_account')\nif not obj:\n obj = _GA(self, 'db_obj')\nreturn obj",
"try:\n value = _GA(value, 'dbobj')\nexcept AttributeError:\n pass\nif isinstance(value, (str, int)):\n value = to_str(value)\n if value.isdigit() or value.startswith('#'):\n dbid = dbref(value, reqhash=Fal... | <|body_start_0|>
obj = _GA(self, 'db_account')
if not obj:
obj = _GA(self, 'db_obj')
return obj
<|end_body_0|>
<|body_start_1|>
try:
value = _GA(value, 'dbobj')
except AttributeError:
pass
if isinstance(value, (str, int)):
... | The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time stamp of object creation permissions - perm strings dbref - #id of object db... | ScriptDB | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScriptDB:
"""The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time stamp of object creation permissions - p... | stack_v2_sparse_classes_36k_train_019885 | 6,311 | permissive | [
{
"docstring": "Property wrapper that homogenizes access to either the db_account or db_obj field, using the same object property name.",
"name": "__get_obj",
"signature": "def __get_obj(self)"
},
{
"docstring": "Set account or obj to their right database field. If a dbref is given, assume Objec... | 2 | null | Implement the Python class `ScriptDB` described below.
Class description:
The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time s... | Implement the Python class `ScriptDB` described below.
Class description:
The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time s... | b3ca58b5c1325a3bf57051dfe23560a08d2947b7 | <|skeleton|>
class ScriptDB:
"""The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time stamp of object creation permissions - p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ScriptDB:
"""The Script database representation. The TypedObject supplies the following (inherited) properties: key - main name name - alias for key typeclass_path - the path to the decorating typeclass typeclass - auto-linked typeclass date_created - time stamp of object creation permissions - perm strings d... | the_stack_v2_python_sparse | evennia/scripts/models.py | evennia/evennia | train | 1,781 |
bfb32d878a18808b86090dc954a3b22c835bf830 | [
"body1 = {'reqId': get_uuid(), 'areaCode': 'T1AJ', 'startTime': '20181010' + '06000000', 'endTime': '20181023' + '06000000'}\na = api_v1_analysis_channel_efficiency(body1)\ndict_data = json.loads(a)\nself.assertEqual(None, dict_data['result'])",
"body1 = {'reqId': get_uuid(), 'areaCode': 'T1AJ', 'startTime': '201... | <|body_start_0|>
body1 = {'reqId': get_uuid(), 'areaCode': 'T1AJ', 'startTime': '20181010' + '06000000', 'endTime': '20181023' + '06000000'}
a = api_v1_analysis_channel_efficiency(body1)
dict_data = json.loads(a)
self.assertEqual(None, dict_data['result'])
<|end_body_0|>
<|body_start_1|... | 2.4.9.1安检通道基础流量查询 | TestApiAnalysisChannelEfficiency | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestApiAnalysisChannelEfficiency:
"""2.4.9.1安检通道基础流量查询"""
def test_01(self):
"""验证正确传入参数时能返回安检通道基础流量数据"""
<|body_0|>
def test_02(self):
"""验证查询非有效时间内不能查询到安检通道基础流量数据"""
<|body_1|>
def test_03(self):
"""验证区域通道不存在时，不能查到安检通道基础流量数据"""
<|bo... | stack_v2_sparse_classes_36k_train_019886 | 2,745 | no_license | [
{
"docstring": "验证正确传入参数时能返回安检通道基础流量数据",
"name": "test_01",
"signature": "def test_01(self)"
},
{
"docstring": "验证查询非有效时间内不能查询到安检通道基础流量数据",
"name": "test_02",
"signature": "def test_02(self)"
},
{
"docstring": "验证区域通道不存在时，不能查到安检通道基础流量数据",
"name": "test_03",
"signature": "... | 5 | null | Implement the Python class `TestApiAnalysisChannelEfficiency` described below.
Class description:
2.4.9.1安检通道基础流量查询
Method signatures and docstrings:
- def test_01(self): 验证正确传入参数时能返回安检通道基础流量数据
- def test_02(self): 验证查询非有效时间内不能查询到安检通道基础流量数据
- def test_03(self): 验证区域通道不存在时，不能查到安检通道基础流量数据
- def test_04(self): 验证startTi... | Implement the Python class `TestApiAnalysisChannelEfficiency` described below.
Class description:
2.4.9.1安检通道基础流量查询
Method signatures and docstrings:
- def test_01(self): 验证正确传入参数时能返回安检通道基础流量数据
- def test_02(self): 验证查询非有效时间内不能查询到安检通道基础流量数据
- def test_03(self): 验证区域通道不存在时，不能查到安检通道基础流量数据
- def test_04(self): 验证startTi... | aa0749f4a237ee76a61579dc5984635a7127a631 | <|skeleton|>
class TestApiAnalysisChannelEfficiency:
"""2.4.9.1安检通道基础流量查询"""
def test_01(self):
"""验证正确传入参数时能返回安检通道基础流量数据"""
<|body_0|>
def test_02(self):
"""验证查询非有效时间内不能查询到安检通道基础流量数据"""
<|body_1|>
def test_03(self):
"""验证区域通道不存在时，不能查到安检通道基础流量数据"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestApiAnalysisChannelEfficiency:
"""2.4.9.1安检通道基础流量查询"""
def test_01(self):
"""验证正确传入参数时能返回安检通道基础流量数据"""
body1 = {'reqId': get_uuid(), 'areaCode': 'T1AJ', 'startTime': '20181010' + '06000000', 'endTime': '20181023' + '06000000'}
a = api_v1_analysis_channel_efficiency(body1)
... | the_stack_v2_python_sparse | Airport/Auto_return/TestCase/test_data_platform_091.py | jingshiyue/zhongkeyuan_workspace | train | 0 |
62a972c544b7955e5deb20480fc1b2abf84e55e3 | [
"super().__init__(**kwargs)\nself.dataset_name = DATASET\nself.partset_source = PARTPATH\nself.images_source = IMGPATH\nself.negatives = 2\nself.naugment = 2\nself.parse_arguments(argv)",
"parser = argparse.ArgumentParser(description='Runs a experiment')\nparser.add_argument('--combine', action='store_true')\npar... | <|body_start_0|>
super().__init__(**kwargs)
self.dataset_name = DATASET
self.partset_source = PARTPATH
self.images_source = IMGPATH
self.negatives = 2
self.naugment = 2
self.parse_arguments(argv)
<|end_body_0|>
<|body_start_1|>
parser = argparse.ArgumentP... | A class to generate training and test data from the PascalPartSet. | Generator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Generator:
"""A class to generate training and test data from the PascalPartSet."""
def __init__(self, argv, **kwargs):
"""Initialize the new experiment from the cli args Args: argv (str): The options string"""
<|body_0|>
def parse_arguments(self, argv):
"""Parse... | stack_v2_sparse_classes_36k_train_019887 | 1,902 | permissive | [
{
"docstring": "Initialize the new experiment from the cli args Args: argv (str): The options string",
"name": "__init__",
"signature": "def __init__(self, argv, **kwargs)"
},
{
"docstring": "Parse the arguments for an experiment script",
"name": "parse_arguments",
"signature": "def pars... | 3 | stack_v2_sparse_classes_30k_train_014147 | Implement the Python class `Generator` described below.
Class description:
A class to generate training and test data from the PascalPartSet.
Method signatures and docstrings:
- def __init__(self, argv, **kwargs): Initialize the new experiment from the cli args Args: argv (str): The options string
- def parse_argumen... | Implement the Python class `Generator` described below.
Class description:
A class to generate training and test data from the PascalPartSet.
Method signatures and docstrings:
- def __init__(self, argv, **kwargs): Initialize the new experiment from the cli args Args: argv (str): The options string
- def parse_argumen... | 4fec329000af041b7f24f31f485c2a3fadf0ff66 | <|skeleton|>
class Generator:
"""A class to generate training and test data from the PascalPartSet."""
def __init__(self, argv, **kwargs):
"""Initialize the new experiment from the cli args Args: argv (str): The options string"""
<|body_0|>
def parse_arguments(self, argv):
"""Parse... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Generator:
"""A class to generate training and test data from the PascalPartSet."""
def __init__(self, argv, **kwargs):
"""Initialize the new experiment from the cli args Args: argv (str): The options string"""
super().__init__(**kwargs)
self.dataset_name = DATASET
self.pa... | the_stack_v2_python_sparse | ba/data.py | morris-frank/bachelor-thesis | train | 0 |
9fc802374ab633245ea8ef5d10208cd15e294317 | [
"def dfs(index, num, digit):\n if index == digit:\n res.append(int(''.join(num)))\n return\n for i in range(10):\n num.append(str(i))\n dfs(index + 1, num, digit)\n num.pop()\nres = []\nfor digit in range(1, n + 1):\n for first in range(1, 10):\n num = [str(first)]... | <|body_start_0|>
def dfs(index, num, digit):
if index == digit:
res.append(int(''.join(num)))
return
for i in range(10):
num.append(str(i))
dfs(index + 1, num, digit)
num.pop()
res = []
for di... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def printNumbers(self, n):
""":type n: int :rtype: List[int] 全排列"""
<|body_0|>
def printNumbers0(self, n):
""":type n: int :rtype: List[int] 队列"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(index, num, digit):
if inde... | stack_v2_sparse_classes_36k_train_019888 | 1,638 | no_license | [
{
"docstring": ":type n: int :rtype: List[int] 全排列",
"name": "printNumbers",
"signature": "def printNumbers(self, n)"
},
{
"docstring": ":type n: int :rtype: List[int] 队列",
"name": "printNumbers0",
"signature": "def printNumbers0(self, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000686 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def printNumbers(self, n): :type n: int :rtype: List[int] 全排列
- def printNumbers0(self, n): :type n: int :rtype: List[int] 队列 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def printNumbers(self, n): :type n: int :rtype: List[int] 全排列
- def printNumbers0(self, n): :type n: int :rtype: List[int] 队列
<|skeleton|>
class Solution:
def printNumbers(... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def printNumbers(self, n):
""":type n: int :rtype: List[int] 全排列"""
<|body_0|>
def printNumbers0(self, n):
""":type n: int :rtype: List[int] 队列"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def printNumbers(self, n):
""":type n: int :rtype: List[int] 全排列"""
def dfs(index, num, digit):
if index == digit:
res.append(int(''.join(num)))
return
for i in range(10):
num.append(str(i))
dfs(i... | the_stack_v2_python_sparse | 剑指 Offer 17. 打印从1到最大的n位数.py | yangyuxiang1996/leetcode | train | 0 | |
548c61bebbd58b2ce45bff81f194c58e8aa6fe85 | [
"stamps = []\nfor mod in self.distribution.ext_modules:\n for source in mod.sources:\n base, ext = splitext(source)\n if not ext in ('.pyx', '.py'):\n continue\n source_hash = sha1(open(source, 'rt').read()).hexdigest()\n stamps.append('%s, %s\\n' % (source, source_hash))\n... | <|body_start_0|>
stamps = []
for mod in self.distribution.ext_modules:
for source in mod.sources:
base, ext = splitext(source)
if not ext in ('.pyx', '.py'):
continue
source_hash = sha1(open(source, 'rt').read()).hexdigest()... | Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as well as the usual behavior of distutils ``sdist``. It will also take the sha1... | PyxSDist | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PyxSDist:
"""Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as well as the usual behavior of distutils `... | stack_v2_sparse_classes_36k_train_019889 | 7,351 | permissive | [
{
"docstring": "Compile pyx to c files, add to sources, stamp sha1s",
"name": "make_distribution",
"signature": "def make_distribution(self)"
},
{
"docstring": "Put pyx stamps file into release tree",
"name": "make_release_tree",
"signature": "def make_release_tree(self, base_dir, files)... | 2 | null | Implement the Python class `PyxSDist` described below.
Class description:
Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as we... | Implement the Python class `PyxSDist` described below.
Class description:
Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as we... | 4341b734995d6f51ac9c16df26a7de00c46f57ef | <|skeleton|>
class PyxSDist:
"""Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as well as the usual behavior of distutils `... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PyxSDist:
"""Custom distutils sdist command to generate .c files from pyx files. Running the command object ``obj.run()`` will compile the pyx / py files in any extensions, into c files, and add them to the list of files to put into the source archive, as well as the usual behavior of distutils ``sdist``. It ... | the_stack_v2_python_sparse | cythexts.py | Garyfallidis/dipy | train | 7 |
95400d35d973a11887c6073d57a98c2e27cc9f85 | [
"self.file_system = file_system\nself.name = name\nself.storage_array = storage_array\nself.mtype = mtype",
"if dictionary is None:\n return None\nfile_system = cohesity_management_sdk.models.flash_blade_file_system.FlashBladeFileSystem.from_dictionary(dictionary.get('fileSystem')) if dictionary.get('fileSyste... | <|body_start_0|>
self.file_system = file_system
self.name = name
self.storage_array = storage_array
self.mtype = mtype
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
file_system = cohesity_management_sdk.models.flash_blade_file_system.Flas... | Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System information. This is set only when the object type is 'kFileSystem'. name (string): Specifies a ... | FlashBladeProtectionSource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlashBladeProtectionSource:
"""Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System information. This is set only when the obj... | stack_v2_sparse_classes_36k_train_019890 | 3,009 | permissive | [
{
"docstring": "Constructor for the FlashBladeProtectionSource class",
"name": "__init__",
"signature": "def __init__(self, file_system=None, name=None, storage_array=None, mtype=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictio... | 2 | stack_v2_sparse_classes_30k_test_001034 | Implement the Python class `FlashBladeProtectionSource` described below.
Class description:
Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System inf... | Implement the Python class `FlashBladeProtectionSource` described below.
Class description:
Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System inf... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class FlashBladeProtectionSource:
"""Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System information. This is set only when the obj... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FlashBladeProtectionSource:
"""Implementation of the 'FlashBladeProtectionSource' model. Specifies a Protection Source in Pure Storage FlashBlade environment. Attributes: file_system (FlashBladeFileSystem): Specifies a Pure Storage FlashBlade File System information. This is set only when the object type is '... | the_stack_v2_python_sparse | cohesity_management_sdk/models/flash_blade_protection_source.py | cohesity/management-sdk-python | train | 24 |
31c7d54cb2ebf974366c31050cedde8cf2113d27 | [
"ctx.save_for_backward(input)\ninput_shape = input.shape[0]\neven_indices = [i for i in range(0, input_shape, 2)]\nodd_indices = [i for i in range(1, input_shape, 2)]\noutput = input.clone()\noutput[even_indices] = output[even_indices].clamp(min=0)\noutput[odd_indices] = 0 - output[odd_indices]\noutput[odd_indices]... | <|body_start_0|>
ctx.save_for_backward(input)
input_shape = input.shape[0]
even_indices = [i for i in range(0, input_shape, 2)]
odd_indices = [i for i in range(1, input_shape, 2)]
output = input.clone()
output[even_indices] = output[even_indices].clamp(min=0)
outp... | brelu_function | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class brelu_function:
def forward(ctx, input):
"""In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be used to stash information for backward computation. You can cache arbitrary objects for use in the backw... | stack_v2_sparse_classes_36k_train_019891 | 32,265 | no_license | [
{
"docstring": "In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be used to stash information for backward computation. You can cache arbitrary objects for use in the backward pass using the ctx.save_for_backward method.",
... | 2 | stack_v2_sparse_classes_30k_train_008428 | Implement the Python class `brelu_function` described below.
Class description:
Implement the brelu_function class.
Method signatures and docstrings:
- def forward(ctx, input): In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be u... | Implement the Python class `brelu_function` described below.
Class description:
Implement the brelu_function class.
Method signatures and docstrings:
- def forward(ctx, input): In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be u... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class brelu_function:
def forward(ctx, input):
"""In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be used to stash information for backward computation. You can cache arbitrary objects for use in the backw... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class brelu_function:
def forward(ctx, input):
"""In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be used to stash information for backward computation. You can cache arbitrary objects for use in the backward pass using... | the_stack_v2_python_sparse | generated/test_digantamisra98_Echo.py | jansel/pytorch-jit-paritybench | train | 35 | |
ce127c5765b0dbce33d90ebdf2d7d1e4ee2b1dc4 | [
"super(FINN, self).__init__()\nself.device = device\nself.Nx = u.size()[1]\nself.BC = th.tensor(BC, dtype=th.float).to(device=self.device)\nself.layer_sizes = layer_sizes\nself.mode = mode\nself.cfg = config\nself.bias = bias\nself.sigmoid = sigmoid\nif not learn_coeff:\n self.D = th.tensor(D, dtype=th.float, de... | <|body_start_0|>
super(FINN, self).__init__()
self.device = device
self.Nx = u.size()[1]
self.BC = th.tensor(BC, dtype=th.float).to(device=self.device)
self.layer_sizes = layer_sizes
self.mode = mode
self.cfg = config
self.bias = bias
self.sigmoid ... | This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which learns the constitutive relationships (or the flux multiplier) and reac... | FINN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FINN:
"""This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which learns the constitutive relationships (... | stack_v2_sparse_classes_36k_train_019892 | 10,673 | no_license | [
{
"docstring": "Constructor. Inputs: :param u: the unknown variable :type u: th.tensor[len(t), Nx, Ny, num_vars] :param D: diffusion coefficient :type D: np.array[num_vars] --- th.tensor is also accepted :param BC: the boundary condition values. In case of Dirichlet BC, this contains the scalar values. In case ... | 2 | stack_v2_sparse_classes_30k_train_012728 | Implement the Python class `FINN` described below.
Class description:
This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which ... | Implement the Python class `FINN` described below.
Class description:
This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which ... | 82b4eac6b55be3b44e736f139ed50256c4415f0c | <|skeleton|>
class FINN:
"""This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which learns the constitutive relationships (... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FINN:
"""This is the parent FINN class. This class initializes all sharable parameters between different implementations to be inherited to each of the implementation. It also contains the initialization of the function_learner and reaction_learner NN which learns the constitutive relationships (or the flux m... | the_stack_v2_python_sparse | sampling/finn_exp.py | CognitiveModeling/finn | train | 28 |
3bce24aa669609dbf40955b70ee6340e20bdf00a | [
"version_url = self._get_base_version_url()\nresp, body = self.raw_request(version_url, 'GET')\nself._error_checker(resp, body)\nbody = json.loads(body)\nself.validate_response(schema.list_versions, resp, body)\nreturn rest_client.ResponseBody(resp, body)",
"version_url = urljoin(self._get_base_version_url(), ver... | <|body_start_0|>
version_url = self._get_base_version_url()
resp, body = self.raw_request(version_url, 'GET')
self._error_checker(resp, body)
body = json.loads(body)
self.validate_response(schema.list_versions, resp, body)
return rest_client.ResponseBody(resp, body)
<|end... | VersionsClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
<|body_0|>
def show_version(self, version):
... | stack_v2_sparse_classes_36k_train_019893 | 2,524 | permissive | [
{
"docstring": "List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions",
"name": "list_versions",
"signature": "def list_versions(self)"
},
{
"docstring": "Show API version ... | 2 | stack_v2_sparse_classes_30k_train_005713 | Implement the Python class `VersionsClient` described below.
Class description:
Implement the VersionsClient class.
Method signatures and docstrings:
- def list_versions(self): List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/blo... | Implement the Python class `VersionsClient` described below.
Class description:
Implement the VersionsClient class.
Method signatures and docstrings:
- def list_versions(self): List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/blo... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
<|body_0|>
def show_version(self, version):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
version_url = self._get_base_version_url()
resp, body = self.... | the_stack_v2_python_sparse | tempest/lib/services/volume/v3/versions_client.py | openstack/tempest | train | 270 | |
9f6ccd86c692a4bf7aaef915aef9826d6fdb0be2 | [
"commonStates = {}\nfor data in results:\n if data['site_name'] not in commonStates:\n commonStates[data['site_name']] = {}\n module = __import__('WMCore.BossAir.Plugins.%s' % data['plugin'], globals(), locals(), [data['plugin']])\n plugIn = getattr(module, data['plugin'])\n for status in viewval... | <|body_start_0|>
commonStates = {}
for data in results:
if data['site_name'] not in commonStates:
commonStates[data['site_name']] = {}
module = __import__('WMCore.BossAir.Plugins.%s' % data['plugin'], globals(), locals(), [data['plugin']])
plugIn = get... | _JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information. | JobStatusByLocation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JobStatusByLocation:
"""_JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information."""
def mappedStatusFormat(self, results):
"""convert each individual batch system plugin status to a common status. Warning: This assumes all the plugin a... | stack_v2_sparse_classes_36k_train_019894 | 2,942 | permissive | [
{
"docstring": "convert each individual batch system plugin status to a common status. Warning: This assumes all the plugin are under WMCore/BossAir/Plugins/ and its module name and class name should be the same. __import__ doesn't reload if the module exist. (so doesn't need to keep track what is already impor... | 2 | null | Implement the Python class `JobStatusByLocation` described below.
Class description:
_JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information.
Method signatures and docstrings:
- def mappedStatusFormat(self, results): convert each individual batch system plugin status t... | Implement the Python class `JobStatusByLocation` described below.
Class description:
_JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information.
Method signatures and docstrings:
- def mappedStatusFormat(self, results): convert each individual batch system plugin status t... | de110ccf6fc63ef5589b4e871ef4d51d5bce7a25 | <|skeleton|>
class JobStatusByLocation:
"""_JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information."""
def mappedStatusFormat(self, results):
"""convert each individual batch system plugin status to a common status. Warning: This assumes all the plugin a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JobStatusByLocation:
"""_JobStatusByLocation_ Load all jobs with a certain scheduler status including all the joined information."""
def mappedStatusFormat(self, results):
"""convert each individual batch system plugin status to a common status. Warning: This assumes all the plugin are under WMCo... | the_stack_v2_python_sparse | src/python/WMCore/BossAir/MySQL/JobStatusByLocation.py | vkuznet/WMCore | train | 0 |
74bce0dbec2c1a92c40a962f3a099097be735c96 | [
"super().__init__()\nself.self_attn = nn.MultiheadAttention(d_model, nhead, dropout=dropout)\nself.dropout = nn.Dropout(dropout)\nself.linear1 = nn.Linear(d_model, dim_feedforward)\nself.linear2 = nn.Linear(dim_feedforward, d_model)\nself.norm1 = nn.LayerNorm(d_model)\nself.norm2 = nn.LayerNorm(d_model)\nself.dropo... | <|body_start_0|>
super().__init__()
self.self_attn = nn.MultiheadAttention(d_model, nhead, dropout=dropout)
self.dropout = nn.Dropout(dropout)
self.linear1 = nn.Linear(d_model, dim_feedforward)
self.linear2 = nn.Linear(dim_feedforward, d_model)
self.norm1 = nn.LayerNorm(d... | TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neu... | TransformerEncoderLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerEncoderLayer:
"""TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. ... | stack_v2_sparse_classes_36k_train_019895 | 20,460 | permissive | [
{
"docstring": "Initialize a TransformerEncoderLayer. Parameters ---------- d_model : int The number of expected features in the input. n_head : int The number of heads in the multiheadattention models. dim_feedforward : int, optional The dimension of the feedforward network (default=2048). dropout : float, opt... | 2 | stack_v2_sparse_classes_30k_train_004731 | Implement the Python class `TransformerEncoderLayer` described below.
Class description:
TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez... | Implement the Python class `TransformerEncoderLayer` described below.
Class description:
TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez... | 0dc2f5b2b286694defe8abf450fe5be9ae12c097 | <|skeleton|>
class TransformerEncoderLayer:
"""TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TransformerEncoderLayer:
"""TransformerEncoderLayer is made up of self-attn and feedforward. This standard encoder layer is based on the paper "Attention Is All You Need". Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attenti... | the_stack_v2_python_sparse | flambe/nn/transformer.py | cle-ros/flambe | train | 1 |
3c1bbb0f188cf6d2e839ff701af3958dbfd89554 | [
"def dfs(n, m):\n if n < 0 or m < 0:\n return 0\n return max(dfs(n - 1, m), dfs(n, m - 1)) + grid[n][m]\nrow = len(grid) - 1\ncolumn = len(grid[0]) - 1\nreturn dfs(row, column)",
"row = len(grid)\ncolumn = len(grid[0])\ndp = [[0] * column for i in range(row)]\nfor i in range(row):\n for j in range... | <|body_start_0|>
def dfs(n, m):
if n < 0 or m < 0:
return 0
return max(dfs(n - 1, m), dfs(n, m - 1)) + grid[n][m]
row = len(grid) - 1
column = len(grid[0]) - 1
return dfs(row, column)
<|end_body_0|>
<|body_start_1|>
row = len(grid)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxValue2(self, grid: List[List[int]]) -> int:
"""递归逆推，超时. 可以优化，加上剪枝"""
<|body_0|>
def maxValue(self, grid: List[List[int]]) -> int:
"""动态规划。 使用一个二维数组DP，计算每一个格子中的最大值，最后取最后一个格子中的值。 Args: grid: Returns:"""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_36k_train_019896 | 1,637 | no_license | [
{
"docstring": "递归逆推，超时. 可以优化，加上剪枝",
"name": "maxValue2",
"signature": "def maxValue2(self, grid: List[List[int]]) -> int"
},
{
"docstring": "动态规划。 使用一个二维数组DP，计算每一个格子中的最大值，最后取最后一个格子中的值。 Args: grid: Returns:",
"name": "maxValue",
"signature": "def maxValue(self, grid: List[List[int]]) -> ... | 2 | stack_v2_sparse_classes_30k_train_007334 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxValue2(self, grid: List[List[int]]) -> int: 递归逆推，超时. 可以优化，加上剪枝
- def maxValue(self, grid: List[List[int]]) -> int: 动态规划。 使用一个二维数组DP，计算每一个格子中的最大值，最后取最后一个格子中的值。 Args: grid: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxValue2(self, grid: List[List[int]]) -> int: 递归逆推，超时. 可以优化，加上剪枝
- def maxValue(self, grid: List[List[int]]) -> int: 动态规划。 使用一个二维数组DP，计算每一个格子中的最大值，最后取最后一个格子中的值。 Args: grid: ... | c0dd577481b46129d950354d567d332a4d091137 | <|skeleton|>
class Solution:
def maxValue2(self, grid: List[List[int]]) -> int:
"""递归逆推，超时. 可以优化，加上剪枝"""
<|body_0|>
def maxValue(self, grid: List[List[int]]) -> int:
"""动态规划。 使用一个二维数组DP，计算每一个格子中的最大值，最后取最后一个格子中的值。 Args: grid: Returns:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxValue2(self, grid: List[List[int]]) -> int:
"""递归逆推，超时. 可以优化，加上剪枝"""
def dfs(n, m):
if n < 0 or m < 0:
return 0
return max(dfs(n - 1, m), dfs(n, m - 1)) + grid[n][m]
row = len(grid) - 1
column = len(grid[0]) - 1
r... | the_stack_v2_python_sparse | leetcode/剑指offer/剑指 Offer 47. 礼物的最大价值.py | tenqaz/crazy_arithmetic | train | 0 | |
3aa2057b10727f444068488d5b1ae791324615b3 | [
"text = 'python'\nresult = cap.cap_text(text)\nself.assertEqual(result, 'Python')",
"text = 'monty python'\nresult = cap.cap_text(text)\nself.assertEqual(result, 'Monty Python')"
] | <|body_start_0|>
text = 'python'
result = cap.cap_text(text)
self.assertEqual(result, 'Python')
<|end_body_0|>
<|body_start_1|>
text = 'monty python'
result = cap.cap_text(text)
self.assertEqual(result, 'Monty Python')
<|end_body_1|>
| Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions. | TestCap | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCap:
"""Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions."""
def test_one_word(self):
"""The format of the method is simple we give it an input in this case text we define a variable ho... | stack_v2_sparse_classes_36k_train_019897 | 1,334 | no_license | [
{
"docstring": "The format of the method is simple we give it an input in this case text we define a variable hold the value returned after invoking our function then we assert that our result matches the result we expected It is important to note that first is the result from the function we invoked and then i... | 2 | null | Implement the Python class `TestCap` described below.
Class description:
Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions.
Method signatures and docstrings:
- def test_one_word(self): The format of the method is simple we g... | Implement the Python class `TestCap` described below.
Class description:
Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions.
Method signatures and docstrings:
- def test_one_word(self): The format of the method is simple we g... | 688617ded71ff1c025bdcd25caefba5b6d4665fb | <|skeleton|>
class TestCap:
"""Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions."""
def test_one_word(self):
"""The format of the method is simple we give it an input in this case text we define a variable ho... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestCap:
"""Inside the class we write methods to test our methods in script. For each method or function in our script we can write multiple test functions."""
def test_one_word(self):
"""The format of the method is simple we give it an input in this case text we define a variable hold the value ... | the_stack_v2_python_sparse | Errors _and_exceptions/pylint/test_cap.py | mohammadasim/python-course | train | 0 |
74a0528dee5586da89aab349e7b0b69e28454ab8 | [
"if data:\n try:\n variables, units, observations = (data['variables'], data['units'], data['observations'])\n except KeyError as err:\n raise ValueError(f'Missing expected key in `data` param: {err}')\n except TypeError as err:\n raise ValueError(f'Bad value for `data` param: {err}')\... | <|body_start_0|>
if data:
try:
variables, units, observations = (data['variables'], data['units'], data['observations'])
except KeyError as err:
raise ValueError(f'Missing expected key in `data` param: {err}')
except TypeError as err:
... | Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...etc.. ] } into a pandas DataFrame. A convenience method is provided for returni... | TidyUnitData | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TidyUnitData:
"""Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...etc.. ] } into a pandas DataFrame. A co... | stack_v2_sparse_classes_36k_train_019898 | 43,787 | permissive | [
{
"docstring": "Constructor. Args: data: Optional, data dict (overrides variables/units/observations) variables: List of variables (table header) units: List of units, or None, same length as `variables` observations: Rows of the body of the table Raises: ValueError: For bad `data` (missing keys, not dict, etc.... | 2 | null | Implement the Python class `TidyUnitData` described below.
Class description:
Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...... | Implement the Python class `TidyUnitData` described below.
Class description:
Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...... | deacf4c422bc9e50cb347e11a8cbfa0195bd4274 | <|skeleton|>
class TidyUnitData:
"""Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...etc.. ] } into a pandas DataFrame. A co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TidyUnitData:
"""Handle "tidy data" with per-column units. This can be used to convert from a simple dictionary/json representation like this:: { "variables": ["compound", "pressure"], "units": [null|None, "Pa"], "observations": [ ["benzene", 4890000.0], ...etc.. ] } into a pandas DataFrame. A convenience met... | the_stack_v2_python_sparse | idaes/core/dmf/resource.py | IDAES/idaes-pse | train | 173 |
b4f2bf194cce2fd88682429504a88de29c1b1245 | [
"error_found = 0\nif CONF.log_dir:\n logs = [x for x in os.listdir(CONF.log_dir) if x.endswith('.log')]\n for file in logs:\n log_file = os.path.join(CONF.log_dir, file)\n lines = [line.strip() for line in open(log_file, 'r')]\n lines.reverse()\n print_name = 0\n for index, ... | <|body_start_0|>
error_found = 0
if CONF.log_dir:
logs = [x for x in os.listdir(CONF.log_dir) if x.endswith('.log')]
for file in logs:
log_file = os.path.join(CONF.log_dir, file)
lines = [line.strip() for line in open(log_file, 'r')]
... | Get logging information. | GetLogCommands | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetLogCommands:
"""Get logging information."""
def errors(self):
"""Get all of the errors from the log files."""
<|body_0|>
def syslog(self, num_entries=10):
"""Get <num_entries> of the manila syslog events."""
<|body_1|>
<|end_skeleton|>
<|body_start_0... | stack_v2_sparse_classes_36k_train_019899 | 19,425 | permissive | [
{
"docstring": "Get all of the errors from the log files.",
"name": "errors",
"signature": "def errors(self)"
},
{
"docstring": "Get <num_entries> of the manila syslog events.",
"name": "syslog",
"signature": "def syslog(self, num_entries=10)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014883 | Implement the Python class `GetLogCommands` described below.
Class description:
Get logging information.
Method signatures and docstrings:
- def errors(self): Get all of the errors from the log files.
- def syslog(self, num_entries=10): Get <num_entries> of the manila syslog events. | Implement the Python class `GetLogCommands` described below.
Class description:
Get logging information.
Method signatures and docstrings:
- def errors(self): Get all of the errors from the log files.
- def syslog(self, num_entries=10): Get <num_entries> of the manila syslog events.
<|skeleton|>
class GetLogCommands... | a93a844398a11a8a85f204782fb9456f7caccdbe | <|skeleton|>
class GetLogCommands:
"""Get logging information."""
def errors(self):
"""Get all of the errors from the log files."""
<|body_0|>
def syslog(self, num_entries=10):
"""Get <num_entries> of the manila syslog events."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetLogCommands:
"""Get logging information."""
def errors(self):
"""Get all of the errors from the log files."""
error_found = 0
if CONF.log_dir:
logs = [x for x in os.listdir(CONF.log_dir) if x.endswith('.log')]
for file in logs:
log_file =... | the_stack_v2_python_sparse | manila/cmd/manage.py | openstack/manila | train | 178 |
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