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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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
97a367d4cdb88faaccf67b56591dd958245f9850 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn FileEvidence()",
"from .alert_evidence import AlertEvidence\nfrom .detection_status import DetectionStatus\nfrom .file_details import FileDetails\nfrom .alert_evidence import AlertEvidence\nfrom .detection_status import DetectionStatus... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return FileEvidence()
<|end_body_0|>
<|body_start_1|>
from .alert_evidence import AlertEvidence
from .detection_status import DetectionStatus
from .file_details import FileDetails
... | FileEvidence | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileEvidence:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FileEvidence:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ... | stack_v2_sparse_classes_36k_train_028600 | 2,997 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: FileEvidence",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(... | 3 | stack_v2_sparse_classes_30k_train_001491 | Implement the Python class `FileEvidence` described below.
Class description:
Implement the FileEvidence class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FileEvidence: Creates a new instance of the appropriate class based on discriminator value Ar... | Implement the Python class `FileEvidence` described below.
Class description:
Implement the FileEvidence class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FileEvidence: Creates a new instance of the appropriate class based on discriminator value Ar... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class FileEvidence:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FileEvidence:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileEvidence:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> FileEvidence:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: FileEvidence""... | the_stack_v2_python_sparse | msgraph/generated/models/security/file_evidence.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
4d004c220ff1b2bfdcaf17e323e9356184086ef7 | [
"self.keys_to_features = {'image/encoded': tf.FixedLenFeature((), tf.string, default_value=''), 'image/format': tf.FixedLenFeature((), tf.string, default_value='jpeg'), 'image/filename': tf.FixedLenFeature((), tf.string, default_value=''), 'image/key/sha256': tf.FixedLenFeature((), tf.string, default_value=''), 'im... | <|body_start_0|>
self.keys_to_features = {'image/encoded': tf.FixedLenFeature((), tf.string, default_value=''), 'image/format': tf.FixedLenFeature((), tf.string, default_value='jpeg'), 'image/filename': tf.FixedLenFeature((), tf.string, default_value=''), 'image/key/sha256': tf.FixedLenFeature((), tf.string, de... | Tensorflow Example proto decoder. | TfExampleDecoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TfExampleDecoder:
"""Tensorflow Example proto decoder."""
def __init__(self):
"""Constructor sets keys_to_features and items_to_handlers."""
<|body_0|>
def decode(self, tf_example_string_tensor):
"""Decodes serialized tensorflow example and returns a tensor dicti... | stack_v2_sparse_classes_36k_train_028601 | 8,543 | permissive | [
{
"docstring": "Constructor sets keys_to_features and items_to_handlers.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Decodes serialized tensorflow example and returns a tensor dictionary. Args: tf_example_string_tensor: a string tensor holding a serialized tensorfl... | 2 | null | Implement the Python class `TfExampleDecoder` described below.
Class description:
Tensorflow Example proto decoder.
Method signatures and docstrings:
- def __init__(self): Constructor sets keys_to_features and items_to_handlers.
- def decode(self, tf_example_string_tensor): Decodes serialized tensorflow example and r... | Implement the Python class `TfExampleDecoder` described below.
Class description:
Tensorflow Example proto decoder.
Method signatures and docstrings:
- def __init__(self): Constructor sets keys_to_features and items_to_handlers.
- def decode(self, tf_example_string_tensor): Decodes serialized tensorflow example and r... | 0f7adb97a93ec3e3485c261d030c507eb16b33e4 | <|skeleton|>
class TfExampleDecoder:
"""Tensorflow Example proto decoder."""
def __init__(self):
"""Constructor sets keys_to_features and items_to_handlers."""
<|body_0|>
def decode(self, tf_example_string_tensor):
"""Decodes serialized tensorflow example and returns a tensor dicti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TfExampleDecoder:
"""Tensorflow Example proto decoder."""
def __init__(self):
"""Constructor sets keys_to_features and items_to_handlers."""
self.keys_to_features = {'image/encoded': tf.FixedLenFeature((), tf.string, default_value=''), 'image/format': tf.FixedLenFeature((), tf.string, def... | the_stack_v2_python_sparse | models/official/retinanet/object_detection/tf_example_decoder.py | tensorflow/tpu | train | 5,627 |
950ccfb7d0a3b3f8c782bc5eaa62dcc3e829e050 | [
"try:\n input_stream_names = [ACTIVITY_STREAM, LIGHT_STREAM, PHONE_SCREEN_STREAM, AUDIO_ENERGY_STREAM]\n input_streams = []\n streams = self.CC.get_user_streams(user_id)\n if streams:\n for stream_name, stream_metadata in streams.items():\n if stream_name in input_stream_names:\n ... | <|body_start_0|>
try:
input_stream_names = [ACTIVITY_STREAM, LIGHT_STREAM, PHONE_SCREEN_STREAM, AUDIO_ENERGY_STREAM]
input_streams = []
streams = self.CC.get_user_streams(user_id)
if streams:
for stream_name, stream_metadata in streams.items():
... | Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from these stream's data. | SleepTime | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SleepTime:
"""Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from these stream's data."""
def listi... | stack_v2_sparse_classes_36k_train_028602 | 4,629 | permissive | [
{
"docstring": "Produce and save the list of sleep time intervals according to day in one stream :param str user_id: UUID of the stream owner :param List(str) all_days: All days of the user in the format 'YYYYMMDD'",
"name": "listing_all_sleep_times",
"signature": "def listing_all_sleep_times(self, user... | 2 | null | Implement the Python class `SleepTime` described below.
Class description:
Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from... | Implement the Python class `SleepTime` described below.
Class description:
Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from... | 73f5ea2430bc7c23de422dccb7b65ef9f8917595 | <|skeleton|>
class SleepTime:
"""Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from these stream's data."""
def listi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SleepTime:
"""Produce feature from these four streams: 1. CU_IS_SCREEN_ON--edu.dartmouth.eureka 2. ACTIVITY_TYPE--org.md2k.phonesensor--PHONE 3. AMBIENT_LIGHT--org.md2k.phonesensor--PHONE 4. CU_AUDIO_ENERGY--edu.dartmouth.eureka Sleep time is calculated from these stream's data."""
def listing_all_sleep_... | the_stack_v2_python_sparse | core/feature/sleep_time/sleep_time.py | MD2Korg/CerebralCortex-DataAnalysis | train | 1 |
2dd1cd36090e98e25c5dc7243914f88d2a33bcf7 | [
"Block.__init__(self, scenario, args)\nif self.language is None:\n raise LoadingException('Language must be defined!')",
"if not re.search('(:1|drop)$', tnode.formeme) or tnode.is_member:\n return\nif tnode.t_lemma == 'ten' and (not tnode.parent.t_lemma in ['být', 'znamenat']):\n self.drop_anode(tnode)\n... | <|body_start_0|>
Block.__init__(self, scenario, args)
if self.language is None:
raise LoadingException('Language must be defined!')
<|end_body_0|>
<|body_start_1|>
if not re.search('(:1|drop)$', tnode.formeme) or tnode.is_member:
return
if tnode.t_lemma == 'ten' ... | Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree | DropSubjPersProns | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DropSubjPersProns:
"""Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree"""
def __init__(self, scenario, args):
"""Constructor, just checking the a... | stack_v2_sparse_classes_36k_train_028603 | 2,839 | permissive | [
{
"docstring": "Constructor, just checking the argument values",
"name": "__init__",
"signature": "def __init__(self, scenario, args)"
},
{
"docstring": "Check if the a-node corresponding to the given t-node should be dropped, and do so where appropriate.",
"name": "process_tnode",
"sign... | 3 | stack_v2_sparse_classes_30k_test_000357 | Implement the Python class `DropSubjPersProns` described below.
Class description:
Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree
Method signatures and docstrings:
- def __init_... | Implement the Python class `DropSubjPersProns` described below.
Class description:
Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree
Method signatures and docstrings:
- def __init_... | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | <|skeleton|>
class DropSubjPersProns:
"""Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree"""
def __init__(self, scenario, args):
"""Constructor, just checking the a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DropSubjPersProns:
"""Remove the Czech pro-drop subject personal pronouns (or demonstrative "to") from the a-tree. Arguments: language: the language of the target tree selector: the selector of the target tree"""
def __init__(self, scenario, args):
"""Constructor, just checking the argument value... | the_stack_v2_python_sparse | alex/components/nlg/tectotpl/block/t2a/cs/dropsubjpersprons.py | oplatek/alex | train | 0 |
516737dca3465c39b1d0c27f9d564a28f7a6218e | [
"super(S3APITest, cls).setUpClass()\nsession = openstack_utils.get_overcloud_keystone_session()\nks_client = openstack_utils.get_keystone_session_client(session)\ntoken_data = ks_client.tokens.get_token_data(session.get_token())\nproject_id = token_data['token']['project']['id']\nuser_id = token_data['token']['user... | <|body_start_0|>
super(S3APITest, cls).setUpClass()
session = openstack_utils.get_overcloud_keystone_session()
ks_client = openstack_utils.get_keystone_session_client(session)
token_data = ks_client.tokens.get_token_data(session.get_token())
project_id = token_data['token']['proj... | Test object storage S3 API. | S3APITest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class S3APITest:
"""Test object storage S3 API."""
def setUpClass(cls):
"""Run class setup for running tests."""
<|body_0|>
def test_901_s3_list_buckets(self):
"""Use S3 API to list buckets."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(S3APIT... | stack_v2_sparse_classes_36k_train_028604 | 19,089 | permissive | [
{
"docstring": "Run class setup for running tests.",
"name": "setUpClass",
"signature": "def setUpClass(cls)"
},
{
"docstring": "Use S3 API to list buckets.",
"name": "test_901_s3_list_buckets",
"signature": "def test_901_s3_list_buckets(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019602 | Implement the Python class `S3APITest` described below.
Class description:
Test object storage S3 API.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for running tests.
- def test_901_s3_list_buckets(self): Use S3 API to list buckets. | Implement the Python class `S3APITest` described below.
Class description:
Test object storage S3 API.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for running tests.
- def test_901_s3_list_buckets(self): Use S3 API to list buckets.
<|skeleton|>
class S3APITest:
"""Test object storage... | 3b17ad9d97c57b6e62797d4e3333e4b83e43a447 | <|skeleton|>
class S3APITest:
"""Test object storage S3 API."""
def setUpClass(cls):
"""Run class setup for running tests."""
<|body_0|>
def test_901_s3_list_buckets(self):
"""Use S3 API to list buckets."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class S3APITest:
"""Test object storage S3 API."""
def setUpClass(cls):
"""Run class setup for running tests."""
super(S3APITest, cls).setUpClass()
session = openstack_utils.get_overcloud_keystone_session()
ks_client = openstack_utils.get_keystone_session_client(session)
... | the_stack_v2_python_sparse | zaza/openstack/charm_tests/swift/tests.py | openstack-charmers/zaza-openstack-tests | train | 7 |
1b7575a64366b7da437ac0ffd9fddd6860b639ac | [
"self.cutoff = cutoff\nself.angle_cutoff = angle_cutoff\nself.box_width = box_width\nself.voxel_width = voxel_width",
"if 'complex' in kwargs:\n datapoint = kwargs.get('complex')\n raise DeprecationWarning('Complex is being phased out as a parameter, please pass \"datapoint\" instead.')\ntry:\n fragments... | <|body_start_0|>
self.cutoff = cutoff
self.angle_cutoff = angle_cutoff
self.box_width = box_width
self.voxel_width = voxel_width
<|end_body_0|>
<|body_start_1|>
if 'complex' in kwargs:
datapoint = kwargs.get('complex')
raise DeprecationWarning('Complex is... | Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in which it originated to create a l... | PiStackVoxelizer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PiStackVoxelizer:
"""Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For each atom, localize this salt bridge in th... | stack_v2_sparse_classes_36k_train_028605 | 27,676 | permissive | [
{
"docstring": "Parameters ---------- cutoff: float, optional (default 4.4) The distance in angstroms within which atoms must be to be considered for a cation-pi interaction between them. angle_cutoff: float, optional (default 30.0) Angle cutoff. Max allowed deviation from the ideal (0 deg) angle between ring n... | 2 | null | Implement the Python class `PiStackVoxelizer` described below.
Class description:
Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For eac... | Implement the Python class `PiStackVoxelizer` described below.
Class description:
Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For eac... | ee6e67ebcf7bf04259cf13aff6388e2b791fea3d | <|skeleton|>
class PiStackVoxelizer:
"""Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For each atom, localize this salt bridge in th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PiStackVoxelizer:
"""Localize Pi stacking interactions between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute pi-stacking interactions between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in wh... | the_stack_v2_python_sparse | deepchem/feat/complex_featurizers/grid_featurizers.py | deepchem/deepchem | train | 4,876 |
cc0b6cad0ab1c6dbf319ff15aeb8925cd015c7b4 | [
"conn, cursor = get_db_cursor()\nbuild = 'toy_build'\ntranscript_dict = init_refs.make_transcript_dict(cursor, build)\nconn.close()\nedges = frozenset({1, 3, 4, 5})\ngene_ID, transcript = talon.search_for_transcript(edges, transcript_dict)\nassert gene_ID == None\nassert transcript == None",
"conn, cursor = get_d... | <|body_start_0|>
conn, cursor = get_db_cursor()
build = 'toy_build'
transcript_dict = init_refs.make_transcript_dict(cursor, build)
conn.close()
edges = frozenset({1, 3, 4, 5})
gene_ID, transcript = talon.search_for_transcript(edges, transcript_dict)
assert gene_I... | TestSearchForTranscript | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSearchForTranscript:
def test_find_no_match(self):
"""Example where the toy transcript database contains no matches for the edge set."""
<|body_0|>
def test_find_match(self):
"""Example where the toy transcript database contains exactly one match for the transcri... | stack_v2_sparse_classes_36k_train_028606 | 1,481 | permissive | [
{
"docstring": "Example where the toy transcript database contains no matches for the edge set.",
"name": "test_find_no_match",
"signature": "def test_find_no_match(self)"
},
{
"docstring": "Example where the toy transcript database contains exactly one match for the transcript.",
"name": "t... | 2 | stack_v2_sparse_classes_30k_val_000291 | Implement the Python class `TestSearchForTranscript` described below.
Class description:
Implement the TestSearchForTranscript class.
Method signatures and docstrings:
- def test_find_no_match(self): Example where the toy transcript database contains no matches for the edge set.
- def test_find_match(self): Example w... | Implement the Python class `TestSearchForTranscript` described below.
Class description:
Implement the TestSearchForTranscript class.
Method signatures and docstrings:
- def test_find_no_match(self): Example where the toy transcript database contains no matches for the edge set.
- def test_find_match(self): Example w... | 8014faed5f982e5e106ec05239e47d65878e76c3 | <|skeleton|>
class TestSearchForTranscript:
def test_find_no_match(self):
"""Example where the toy transcript database contains no matches for the edge set."""
<|body_0|>
def test_find_match(self):
"""Example where the toy transcript database contains exactly one match for the transcri... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSearchForTranscript:
def test_find_no_match(self):
"""Example where the toy transcript database contains no matches for the edge set."""
conn, cursor = get_db_cursor()
build = 'toy_build'
transcript_dict = init_refs.make_transcript_dict(cursor, build)
conn.close()
... | the_stack_v2_python_sparse | testing_suite/test_search_for_transcript.py | kopardev/TALON | train | 0 | |
13d78cf5f8808108331fe88d77d2a91ac2a29dc6 | [
"self.capacity = capacity\nself.cache = []\nself.dict = {}",
"try:\n self.dict[key]\n self.cache.append(key)\n if len(self.cache) > self.capacity:\n self.cache = self.cache[1:]\n return self.dict[key]\nexcept KeyError:\n return -1",
"try:\n self.dict[key]\n self.dict[key] = value\n ... | <|body_start_0|>
self.capacity = capacity
self.cache = []
self.dict = {}
<|end_body_0|>
<|body_start_1|>
try:
self.dict[key]
self.cache.append(key)
if len(self.cache) > self.capacity:
self.cache = self.cache[1:]
return self... | LRUCache | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k_train_028607 | 1,115 | permissive | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | null | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | 22be8c8417b28b2888be5aee82ccfe47f57f1945 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.cache = []
self.dict = {}
def get(self, key):
""":type key: int :rtype: int"""
try:
self.dict[key]
self.cache.append(key)
if ... | the_stack_v2_python_sparse | lru_cache/solytion.py | andriiglukhyi/leetcode | train | 1 | |
889ad2019fd55a5a32e9e22ae9c078073ad8b362 | [
"self.dark_image_picture = data\nself.aperture = aperture\nself.create_plot()",
"if self.dark_image_picture is not None:\n if os.path.isfile(self.dark_image_picture):\n view = read_png(self.dark_image_picture)\n ydim, xdim = view.shape\n dim = max(xdim, ydim)\n self.plot = figure(x_... | <|body_start_0|>
self.dark_image_picture = data
self.aperture = aperture
self.create_plot()
<|end_body_0|>
<|body_start_1|>
if self.dark_image_picture is not None:
if os.path.isfile(self.dark_image_picture):
view = read_png(self.dark_image_picture)
... | Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure created by the dark monitor plot : bokeh.figure Figure containing the dark current i... | DarkImagePlot | [
"Python-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DarkImagePlot:
"""Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure created by the dark monitor plot : bokeh.fi... | stack_v2_sparse_classes_36k_train_028608 | 32,336 | permissive | [
{
"docstring": "Create the figure",
"name": "__init__",
"signature": "def __init__(self, data, aperture)"
},
{
"docstring": "Takes the input filename, reads it in, and places it in a figure. If the given filename doesn't exist, or if no filename is given, it produces an empty figure that can be ... | 2 | null | Implement the Python class `DarkImagePlot` described below.
Class description:
Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure crea... | Implement the Python class `DarkImagePlot` described below.
Class description:
Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure crea... | d5a6dbe1a1772a1d0d77af88d4e7deb2374e55c4 | <|skeleton|>
class DarkImagePlot:
"""Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure created by the dark monitor plot : bokeh.fi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DarkImagePlot:
"""Creates a figure that displays a mean dark current image held in a png file Attributes ---------- aperture : str Name of aperture (e.g. NRCA1_FULL) dark_image_picture : str Name of png file containing the mean dark current image figure created by the dark monitor plot : bokeh.figure Figure c... | the_stack_v2_python_sparse | jwql/website/apps/jwql/monitor_pages/monitor_dark_bokeh.py | spacetelescope/jwql | train | 70 |
2501aeb7c1d544958d038dd101de797b0c52793a | [
"self.vehicle_id = int(vehicle_id)\nself.vehicle_states = np.asarray([[], [], [], [], []])\nrospy.Subscriber('/world_state', WorldState, self.update_state)",
"self.vehicle_states = np.asarray([[], [], [], [], []])\nfor vs in ws.vehicle_states:\n self.vehicle_states = np.concatenate((self.vehicle_states, [[vs.v... | <|body_start_0|>
self.vehicle_id = int(vehicle_id)
self.vehicle_states = np.asarray([[], [], [], [], []])
rospy.Subscriber('/world_state', WorldState, self.update_state)
<|end_body_0|>
<|body_start_1|>
self.vehicle_states = np.asarray([[], [], [], [], []])
for vs in ws.vehicle_s... | Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription. | BaseSensor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseSensor:
"""Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription."""
def __init__(self, vehicle_id):
"""Initialize class BaseSensor. @param vehicle_id: I{(int)} ID of the vehicle thi... | stack_v2_sparse_classes_36k_train_028609 | 5,525 | no_license | [
{
"docstring": "Initialize class BaseSensor. @param vehicle_id: I{(int)} ID of the vehicle this sensor belongs to.",
"name": "__init__",
"signature": "def __init__(self, vehicle_id)"
},
{
"docstring": "Callback function for topic 'world_state'.",
"name": "update_state",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_015431 | Implement the Python class `BaseSensor` described below.
Class description:
Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription.
Method signatures and docstrings:
- def __init__(self, vehicle_id): Initialize class Base... | Implement the Python class `BaseSensor` described below.
Class description:
Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription.
Method signatures and docstrings:
- def __init__(self, vehicle_id): Initialize class Base... | a759b0336b80b5647cc858d99d1fa40a0a9d826d | <|skeleton|>
class BaseSensor:
"""Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription."""
def __init__(self, vehicle_id):
"""Initialize class BaseSensor. @param vehicle_id: I{(int)} ID of the vehicle thi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseSensor:
"""Base class for sensors. New sensors inherit from this class which implements the subsciption to the world state and the processing of this subscription."""
def __init__(self, vehicle_id):
"""Initialize class BaseSensor. @param vehicle_id: I{(int)} ID of the vehicle this sensor belo... | the_stack_v2_python_sparse | sml_world/scripts/sml_modules/sensor_models.py | marinarantanen/sml_world | train | 1 |
f30709aa75a0139b2d7c46e2fda1e7a074c1f1af | [
"if username is None:\n raise Exception('USERNAME parameter was not specified')\nif password is None:\n raise Exception('PASSWORD parameter was not specified')\nself.__username = username\nself.__password = password",
"async with asyncssh.connect(host, username=self.__username, password=self.__password) as ... | <|body_start_0|>
if username is None:
raise Exception('USERNAME parameter was not specified')
if password is None:
raise Exception('PASSWORD parameter was not specified')
self.__username = username
self.__password = password
<|end_body_0|>
<|body_start_1|>
... | A command executor, that executes commands remotely via SSH. | CommandExecutor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandExecutor:
"""A command executor, that executes commands remotely via SSH."""
def __init__(self, username, password):
"""Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Password of the SSH user. Raises: Exception: If username or p... | stack_v2_sparse_classes_36k_train_028610 | 1,979 | no_license | [
{
"docstring": "Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Password of the SSH user. Raises: Exception: If username or password were not specified.",
"name": "__init__",
"signature": "def __init__(self, username, password)"
},
{
"docstring": "... | 2 | stack_v2_sparse_classes_30k_train_007695 | Implement the Python class `CommandExecutor` described below.
Class description:
A command executor, that executes commands remotely via SSH.
Method signatures and docstrings:
- def __init__(self, username, password): Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Pass... | Implement the Python class `CommandExecutor` described below.
Class description:
A command executor, that executes commands remotely via SSH.
Method signatures and docstrings:
- def __init__(self, username, password): Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Pass... | 72f407f8c8862e59383bfb913edf55e367d4f45a | <|skeleton|>
class CommandExecutor:
"""A command executor, that executes commands remotely via SSH."""
def __init__(self, username, password):
"""Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Password of the SSH user. Raises: Exception: If username or p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommandExecutor:
"""A command executor, that executes commands remotely via SSH."""
def __init__(self, username, password):
"""Constructor of the CommandExecutor. Args: username (str): Name of the SSH user. password (str): Password of the SSH user. Raises: Exception: If username or password were ... | the_stack_v2_python_sparse | statscrawler/remote.py | gorolykmaxim/loadbalancer | train | 0 |
df1ef78c6479f5da68addb41e3f82c2f3815efa1 | [
"if not v:\n raise ValueError('courier_id is required')\nif type(v) != int:\n raise ValueError('courier_id must be integer')\nif v < 0 or v > 9223372036854775807:\n raise ValueError('courier_id out of allowed range')\nreturn v",
"excess_fields = set(values.keys()).difference({'courier_id'})\nif excess_fi... | <|body_start_0|>
if not v:
raise ValueError('courier_id is required')
if type(v) != int:
raise ValueError('courier_id must be integer')
if v < 0 or v > 9223372036854775807:
raise ValueError('courier_id out of allowed range')
return v
<|end_body_0|>
<|... | Описывает стрктуру данных для назначения заказов | AssignDataModel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssignDataModel:
"""Описывает стрктуру данных для назначения заказов"""
def validate_courier_id(cls, v: int) -> int:
"""Валидирует courier_id"""
<|body_0|>
def validate_excess_fields(cls, values: Dict) -> Dict:
"""Валидирует отсутствие лишних полей"""
<|b... | stack_v2_sparse_classes_36k_train_028611 | 8,762 | no_license | [
{
"docstring": "Валидирует courier_id",
"name": "validate_courier_id",
"signature": "def validate_courier_id(cls, v: int) -> int"
},
{
"docstring": "Валидирует отсутствие лишних полей",
"name": "validate_excess_fields",
"signature": "def validate_excess_fields(cls, values: Dict) -> Dict"... | 2 | stack_v2_sparse_classes_30k_train_010907 | Implement the Python class `AssignDataModel` described below.
Class description:
Описывает стрктуру данных для назначения заказов
Method signatures and docstrings:
- def validate_courier_id(cls, v: int) -> int: Валидирует courier_id
- def validate_excess_fields(cls, values: Dict) -> Dict: Валидирует отсутствие лишних... | Implement the Python class `AssignDataModel` described below.
Class description:
Описывает стрктуру данных для назначения заказов
Method signatures and docstrings:
- def validate_courier_id(cls, v: int) -> int: Валидирует courier_id
- def validate_excess_fields(cls, values: Dict) -> Dict: Валидирует отсутствие лишних... | f1a908e5d6b30b826c38d24c52a721764f056fde | <|skeleton|>
class AssignDataModel:
"""Описывает стрктуру данных для назначения заказов"""
def validate_courier_id(cls, v: int) -> int:
"""Валидирует courier_id"""
<|body_0|>
def validate_excess_fields(cls, values: Dict) -> Dict:
"""Валидирует отсутствие лишних полей"""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AssignDataModel:
"""Описывает стрктуру данных для назначения заказов"""
def validate_courier_id(cls, v: int) -> int:
"""Валидирует courier_id"""
if not v:
raise ValueError('courier_id is required')
if type(v) != int:
raise ValueError('courier_id must be int... | the_stack_v2_python_sparse | candyapi/orders/validators.py | IntAlgambra/candyapi | train | 0 |
57474f741122cacaf3046fe9a52a6ed6e8d9b111 | [
"def helper(root, ans):\n if not root:\n ans.append('X')\n return\n ans.append(str(root.val))\n helper(root.left, ans)\n helper(root.right, ans)\nans = []\nhelper(root, ans)\nreturn '_'.join(ans)",
"def helper(data):\n num = data.pop(0)\n if num == 'X':\n return None\n ro... | <|body_start_0|>
def helper(root, ans):
if not root:
ans.append('X')
return
ans.append(str(root.val))
helper(root.left, ans)
helper(root.right, ans)
ans = []
helper(root, ans)
return '_'.join(ans)
<|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_028612 | 869 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | d438f9b826816ecb1ca3e404b6914563d182eea0 | <|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"""
def helper(root, ans):
if not root:
ans.append('X')
return
ans.append(str(root.val))
helper(root.left, ans)
... | the_stack_v2_python_sparse | leetcode/0297. 二叉树的序列化与反序列化.py | zhoulukuan/leetcode_python | train | 0 | |
66a0e6b0271323cc100c788251c1907cbb03e11a | [
"current_user = get_jwt_identity()\nif current_user:\n user = User.query.filter_by(email=current_user).first()\n helpers.abort_if_unknown_user(user)\n projects = ProjectModel.query.filter(or_(ProjectModel.members.any(Membership.user_id == user.id), ProjectModel.is_public)).order_by(ProjectModel.id.desc()).... | <|body_start_0|>
current_user = get_jwt_identity()
if current_user:
user = User.query.filter_by(email=current_user).first()
helpers.abort_if_unknown_user(user)
projects = ProjectModel.query.filter(or_(ProjectModel.members.any(Membership.user_id == user.id), ProjectMod... | Mapped to: /api/projects/ | Projects | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Projects:
"""Mapped to: /api/projects/"""
def get():
"""The projects the JWT user is a member of, otherwise all public projects."""
<|body_0|>
def post(self):
"""CREATE a project where sessions can be created"""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_36k_train_028613 | 3,609 | no_license | [
{
"docstring": "The projects the JWT user is a member of, otherwise all public projects.",
"name": "get",
"signature": "def get()"
},
{
"docstring": "CREATE a project where sessions can be created",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001925 | Implement the Python class `Projects` described below.
Class description:
Mapped to: /api/projects/
Method signatures and docstrings:
- def get(): The projects the JWT user is a member of, otherwise all public projects.
- def post(self): CREATE a project where sessions can be created | Implement the Python class `Projects` described below.
Class description:
Mapped to: /api/projects/
Method signatures and docstrings:
- def get(): The projects the JWT user is a member of, otherwise all public projects.
- def post(self): CREATE a project where sessions can be created
<|skeleton|>
class Projects:
... | 716fa5a6e905380cb206c57868e87556805f2b7f | <|skeleton|>
class Projects:
"""Mapped to: /api/projects/"""
def get():
"""The projects the JWT user is a member of, otherwise all public projects."""
<|body_0|>
def post(self):
"""CREATE a project where sessions can be created"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Projects:
"""Mapped to: /api/projects/"""
def get():
"""The projects the JWT user is a member of, otherwise all public projects."""
current_user = get_jwt_identity()
if current_user:
user = User.query.filter_by(email=current_user).first()
helpers.abort_if_u... | the_stack_v2_python_sparse | gabber/api/projects.py | joseplj/GabberAPI | train | 0 |
4d46a01e4af37c89607d2dcfe9d0b41844c4ce82 | [
"try:\n return self.data.CapacityMiB\nexcept AttributeError:\n return 'Not available'",
"try:\n return self.data.Raid\nexcept AttributeError:\n return 'Not available'"
] | <|body_start_0|>
try:
return self.data.CapacityMiB
except AttributeError:
return 'Not available'
<|end_body_0|>
<|body_start_1|>
try:
return self.data.Raid
except AttributeError:
return 'Not available'
<|end_body_1|>
| Class to manage redfish hpe oem LogicalDrives data. | LogicalDrives | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogicalDrives:
"""Class to manage redfish hpe oem LogicalDrives data."""
def get_capacity(self):
"""Get Logical drive capacity :returns: Logical drive capacity or "Not available" :rtype: string"""
<|body_0|>
def get_raid(self):
"""Get Logical drive raid configura... | stack_v2_sparse_classes_36k_train_028614 | 6,341 | permissive | [
{
"docstring": "Get Logical drive capacity :returns: Logical drive capacity or \"Not available\" :rtype: string",
"name": "get_capacity",
"signature": "def get_capacity(self)"
},
{
"docstring": "Get Logical drive raid configuration :returns: Logical drive raid configuration or \"Not available\" ... | 2 | stack_v2_sparse_classes_30k_train_018251 | Implement the Python class `LogicalDrives` described below.
Class description:
Class to manage redfish hpe oem LogicalDrives data.
Method signatures and docstrings:
- def get_capacity(self): Get Logical drive capacity :returns: Logical drive capacity or "Not available" :rtype: string
- def get_raid(self): Get Logical... | Implement the Python class `LogicalDrives` described below.
Class description:
Class to manage redfish hpe oem LogicalDrives data.
Method signatures and docstrings:
- def get_capacity(self): Get Logical drive capacity :returns: Logical drive capacity or "Not available" :rtype: string
- def get_raid(self): Get Logical... | 41115bc5982a2f2d4e9eb7106880dc3bbdfebc54 | <|skeleton|>
class LogicalDrives:
"""Class to manage redfish hpe oem LogicalDrives data."""
def get_capacity(self):
"""Get Logical drive capacity :returns: Logical drive capacity or "Not available" :rtype: string"""
<|body_0|>
def get_raid(self):
"""Get Logical drive raid configura... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LogicalDrives:
"""Class to manage redfish hpe oem LogicalDrives data."""
def get_capacity(self):
"""Get Logical drive capacity :returns: Logical drive capacity or "Not available" :rtype: string"""
try:
return self.data.CapacityMiB
except AttributeError:
ret... | the_stack_v2_python_sparse | redfish/oem/hpe.py | bcornec/python-redfish | train | 10 |
1ec2140b0d0d8684d8559ae8d4b5904b19f54611 | [
"fields = {}\nfor field_desc in fields_desc:\n field_name, pack_type, field_length = field_desc[:3]\n field_data = fields_stream.read(field_length)\n if len(field_desc) > 3:\n convert_option = field_desc[3]\n if convert_option == 'raw':\n value = field_data\n elif convert_op... | <|body_start_0|>
fields = {}
for field_desc in fields_desc:
field_name, pack_type, field_length = field_desc[:3]
field_data = fields_stream.read(field_length)
if len(field_desc) > 3:
convert_option = field_desc[3]
if convert_option == '... | 对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds = FieldsSerializer().parse_fields(str_io, filelds_desc) | FieldsSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FieldsSerializer:
"""对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds = FieldsSerializer().parse_fields(str_... | stack_v2_sparse_classes_36k_train_028615 | 4,617 | no_license | [
{
"docstring": "根据字段描述，将流中的字段转化为一个词典 PARAMTERS: fields_stream : 要转换的数据流 fields_desc : 字段描述，对流中数据的描述，用于转换，如下结构 [ (fileld_name, pack_type, field_length, convert_option(可选)), ... ] RETURNS: filelds dict() 转化后的字段",
"name": "parse_fields",
"signature": "def parse_fields(self, fields_stream, fields_desc)"
}... | 2 | stack_v2_sparse_classes_30k_train_003122 | Implement the Python class `FieldsSerializer` described below.
Class description:
对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds... | Implement the Python class `FieldsSerializer` described below.
Class description:
对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds... | 6193e250ce09172f38c6646b1bad0b6b8ed34713 | <|skeleton|>
class FieldsSerializer:
"""对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds = FieldsSerializer().parse_fields(str_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FieldsSerializer:
"""对字段进行序列化和反序列化 Example: a = { "a" : 1, "b" : "abc", "c" : 3 } filelds_desc = [ ("a", "!i", 4), ("b", None, 32, "gb2312"), ("c", "!i", 4,) ] str_io = StringIO() FieldsSerializer().dumps_fields(str_io, a, filelds_desc) str_io.seek(0) fileds = FieldsSerializer().parse_fields(str_io, filelds_d... | the_stack_v2_python_sparse | medusa/utils/fields.py | tangyi1989/game_client | train | 1 |
43ad6498ff3815c9f66c9145e63b5c8a6d23ac5b | [
"super().__init__(items, embeddings)\nself.PAD = pad\nself.UNK = unk",
"if word not in self._dict:\n return self.__getitem__(self.UNK)\nreturn super().__getitem__(word)"
] | <|body_start_0|>
super().__init__(items, embeddings)
self.PAD = pad
self.UNK = unk
<|end_body_0|>
<|body_start_1|>
if word not in self._dict:
return self.__getitem__(self.UNK)
return super().__getitem__(word)
<|end_body_1|>
| Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token | WordEmbeddings | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordEmbeddings:
"""Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token"""
def __init__(self, words, embeddings, pad='<pad>', unk='<unk>'):
"""Initialize word embeddings Args: words (list): Words embeddings... | stack_v2_sparse_classes_36k_train_028616 | 12,577 | permissive | [
{
"docstring": "Initialize word embeddings Args: words (list): Words embeddings (ndarray): Word embeddings (vectors) pad (str, optional): Label for the padding token, usually filled in empty places in a string having fewer words than the required sequence length unk (str, optional): Label for the unknown tokens... | 2 | stack_v2_sparse_classes_30k_train_002393 | Implement the Python class `WordEmbeddings` described below.
Class description:
Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token
Method signatures and docstrings:
- def __init__(self, words, embeddings, pad='<pad>', unk='<unk>'): Initia... | Implement the Python class `WordEmbeddings` described below.
Class description:
Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token
Method signatures and docstrings:
- def __init__(self, words, embeddings, pad='<pad>', unk='<unk>'): Initia... | 4b7f027f339d5c4c20d0f215e6c770ce7296069c | <|skeleton|>
class WordEmbeddings:
"""Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token"""
def __init__(self, words, embeddings, pad='<pad>', unk='<unk>'):
"""Initialize word embeddings Args: words (list): Words embeddings... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WordEmbeddings:
"""Class for collection of word embeddings. Attributes: PAD (str): Label for the padding token UNK (str): Label for the unknown token"""
def __init__(self, words, embeddings, pad='<pad>', unk='<unk>'):
"""Initialize word embeddings Args: words (list): Words embeddings (ndarray): W... | the_stack_v2_python_sparse | core/representations.py | fairhopeweb/pqai | train | 0 |
b1d466989a7d70fa5f42d095e8801aace6a2361c | [
"question = question_services.get_question_by_id(question_id, strict=False)\nif question is None:\n raise self.PageNotFoundException(\"The question with the given id doesn't exist.\")\nassociated_skill_dicts = [skill.to_dict() for skill in skill_services.get_multi_skills(question.linked_skill_ids)]\nself.values.... | <|body_start_0|>
question = question_services.get_question_by_id(question_id, strict=False)
if question is None:
raise self.PageNotFoundException("The question with the given id doesn't exist.")
associated_skill_dicts = [skill.to_dict() for skill in skill_services.get_multi_skills(qu... | A data handler for questions which supports writing. | EditableQuestionDataHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditableQuestionDataHandler:
"""A data handler for questions which supports writing."""
def get(self, question_id):
"""Gets the data for the question overview page."""
<|body_0|>
def put(self, question_id):
"""Updates properties of the given question."""
... | stack_v2_sparse_classes_36k_train_028617 | 7,706 | permissive | [
{
"docstring": "Gets the data for the question overview page.",
"name": "get",
"signature": "def get(self, question_id)"
},
{
"docstring": "Updates properties of the given question.",
"name": "put",
"signature": "def put(self, question_id)"
},
{
"docstring": "Handles Delete reque... | 3 | null | Implement the Python class `EditableQuestionDataHandler` described below.
Class description:
A data handler for questions which supports writing.
Method signatures and docstrings:
- def get(self, question_id): Gets the data for the question overview page.
- def put(self, question_id): Updates properties of the given ... | Implement the Python class `EditableQuestionDataHandler` described below.
Class description:
A data handler for questions which supports writing.
Method signatures and docstrings:
- def get(self, question_id): Gets the data for the question overview page.
- def put(self, question_id): Updates properties of the given ... | 899b9755a6b795a8991e596055ac24065a8435e0 | <|skeleton|>
class EditableQuestionDataHandler:
"""A data handler for questions which supports writing."""
def get(self, question_id):
"""Gets the data for the question overview page."""
<|body_0|>
def put(self, question_id):
"""Updates properties of the given question."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EditableQuestionDataHandler:
"""A data handler for questions which supports writing."""
def get(self, question_id):
"""Gets the data for the question overview page."""
question = question_services.get_question_by_id(question_id, strict=False)
if question is None:
raise... | the_stack_v2_python_sparse | core/controllers/question_editor.py | import-keshav/oppia | train | 4 |
a478ca2d7f14f8d34aef812294010aa3734eb9cc | [
"ctx = _request_ctx_stack.top\ncurrent_user = ctx.user\nuser = User.get_by_id(current_user.id)\npage = request.args.get('page', 1, type=int)\nreturn response_paginate_accounts(user, page)",
"ctx = _request_ctx_stack.top\ncurrent_user = ctx.user\nrequest_body = request.get_json()\nname = request_body.get('name')\n... | <|body_start_0|>
ctx = _request_ctx_stack.top
current_user = ctx.user
user = User.get_by_id(current_user.id)
page = request.args.get('page', 1, type=int)
return response_paginate_accounts(user, page)
<|end_body_0|>
<|body_start_1|>
ctx = _request_ctx_stack.top
cu... | Accounts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Accounts:
def get(self):
"""@api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authenticated user (10 accounts per page) @apiHeader {String} Authorization Users auth token @apiHeader ... | stack_v2_sparse_classes_36k_train_028618 | 6,784 | no_license | [
{
"docstring": "@api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authenticated user (10 accounts per page) @apiHeader {String} Authorization Users auth token @apiHeader {String} Content-Type=\"application/... | 2 | stack_v2_sparse_classes_30k_train_019568 | Implement the Python class `Accounts` described below.
Class description:
Implement the Accounts class.
Method signatures and docstrings:
- def get(self): @api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authent... | Implement the Python class `Accounts` described below.
Class description:
Implement the Accounts class.
Method signatures and docstrings:
- def get(self): @api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authent... | 8640cde9e6c7a8ea7f581dee29ed7fa440a5034a | <|skeleton|>
class Accounts:
def get(self):
"""@api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authenticated user (10 accounts per page) @apiHeader {String} Authorization Users auth token @apiHeader ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Accounts:
def get(self):
"""@api {GET} /api/v1/accounts Get all accounts of an user @apiVersion 0.0.1 @apiName GetAllAccounts @apiGroup Accounts @apiDescription Get all accounts of an authenticated user (10 accounts per page) @apiHeader {String} Authorization Users auth token @apiHeader {String} Conte... | the_stack_v2_python_sparse | backend/app/api/v1/account/accounts.py | zinzinhust96/sea_7 | train | 0 | |
e1f2c067e1b18b0688adaa425b177c218225e8e7 | [
"super(Block, self).__init__()\nself.units = units\nself.units_cells = nn.CellList(units)\nself.intermediate = intermediate",
"out = feature\nout_intermediate = intermediate\nfor i, cell in enumerate(self.units_cells, 1):\n out = cell(out)\n if self.intermediate is not None and self.intermediate == i:\n ... | <|body_start_0|>
super(Block, self).__init__()
self.units = units
self.units_cells = nn.CellList(units)
self.intermediate = intermediate
<|end_body_0|>
<|body_start_1|>
out = feature
out_intermediate = intermediate
for i, cell in enumerate(self.units_cells, 1):
... | Resnet block consisted of Bottlenecks | Block | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Block:
"""Resnet block consisted of Bottlenecks"""
def __init__(self, units, intermediate=None):
"""Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermediate value"""
<|body_0|>
def construct(self, f... | stack_v2_sparse_classes_36k_train_028619 | 11,719 | permissive | [
{
"docstring": "Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermediate value",
"name": "__init__",
"signature": "def __init__(self, units, intermediate=None)"
},
{
"docstring": "Args: feature: feature intermediate: interm... | 2 | null | Implement the Python class `Block` described below.
Class description:
Resnet block consisted of Bottlenecks
Method signatures and docstrings:
- def __init__(self, units, intermediate=None): Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermedia... | Implement the Python class `Block` described below.
Class description:
Resnet block consisted of Bottlenecks
Method signatures and docstrings:
- def __init__(self, units, intermediate=None): Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermedia... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class Block:
"""Resnet block consisted of Bottlenecks"""
def __init__(self, units, intermediate=None):
"""Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermediate value"""
<|body_0|>
def construct(self, f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Block:
"""Resnet block consisted of Bottlenecks"""
def __init__(self, units, intermediate=None):
"""Args: units: Bottlenecks intermediate: if is not None, the result of corresponding Bottlenecks will be returned as a intermediate value"""
super(Block, self).__init__()
self.units =... | the_stack_v2_python_sparse | research/cv/ArtTrack/src/model/resnet/resnet.py | mindspore-ai/models | train | 301 |
52d70a8f60e2f3eef71df13091f12b87e7f479d0 | [
"self.actuatorData = ActuatorData.ActuatorData()\nself.senseHat = SenseHatLedActivator.SenseHatLedActivator()\nself.senseHat.start()",
"if sensorType == 'temp':\n if self.actuatorData != actuatorData:\n if actuatorData.getValue() > 0:\n self.senseHat.setEnableLedFlag(True)\n self.s... | <|body_start_0|>
self.actuatorData = ActuatorData.ActuatorData()
self.senseHat = SenseHatLedActivator.SenseHatLedActivator()
self.senseHat.start()
<|end_body_0|>
<|body_start_1|>
if sensorType == 'temp':
if self.actuatorData != actuatorData:
if actuatorData.g... | Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class | TempActuatorAdaptor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TempActuatorAdaptor:
"""Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class"""
def __init__(self):
"""Constructor"""
<|body_0|>
def updateActuator(self, actuatorData, se... | stack_v2_sparse_classes_36k_train_028620 | 2,670 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "compare actuator data and sensor type received and accordingly show the message on the sensehat LED Matrix",
"name": "updateActuator",
"signature": "def updateActuator(self, actuatorDat... | 2 | stack_v2_sparse_classes_30k_train_013870 | Implement the Python class `TempActuatorAdaptor` described below.
Class description:
Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class
Method signatures and docstrings:
- def __init__(self): Constructor
- def updat... | Implement the Python class `TempActuatorAdaptor` described below.
Class description:
Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class
Method signatures and docstrings:
- def __init__(self): Constructor
- def updat... | 660a6f1a4a69eb74a6c9dfb8d972753d4bcd3307 | <|skeleton|>
class TempActuatorAdaptor:
"""Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class"""
def __init__(self):
"""Constructor"""
<|body_0|>
def updateActuator(self, actuatorData, se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TempActuatorAdaptor:
"""Actuator emulator, process the actuator data @param actuatorData: instance of actuator data class @param senseHat: instance of SenseHatledActivator class"""
def __init__(self):
"""Constructor"""
self.actuatorData = ActuatorData.ActuatorData()
self.senseHat ... | the_stack_v2_python_sparse | apps/labs/module05/MultiActuatorAdaptor.py | deepak-lokwani/iot-device | train | 2 |
0e948718d4ff1c8c259ad628234d6de9e65ec1aa | [
"if order.state >= TeamOrder.OrderState.WAIT_BUYER_PAY.value or order.state <= TeamOrder.OrderState.WAIT_PAY_RETURN.value:\n return True\nraise ApiException(422, '订单已支付无需重复支付')",
"try:\n order = TeamOrder.select().where(TeamOrder.order_no == order_no).get()\nexcept TeamOrder.DoesNotExist:\n msg = '订单不存在'... | <|body_start_0|>
if order.state >= TeamOrder.OrderState.WAIT_BUYER_PAY.value or order.state <= TeamOrder.OrderState.WAIT_PAY_RETURN.value:
return True
raise ApiException(422, '订单已支付无需重复支付')
<|end_body_0|>
<|body_start_1|>
try:
order = TeamOrder.select().where(TeamOrder.o... | TeamOrderCallbackMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeamOrderCallbackMixin:
def check_state(self, order: TeamOrder):
"""校验订单状态 :param order: :return:"""
<|body_0|>
def get_order(self, order_no: str) -> Union[TeamOrder, None]:
"""获取 TeamOrder :param order_no: :return:"""
<|body_1|>
def _finish_order(self, ... | stack_v2_sparse_classes_36k_train_028621 | 10,601 | no_license | [
{
"docstring": "校验订单状态 :param order: :return:",
"name": "check_state",
"signature": "def check_state(self, order: TeamOrder)"
},
{
"docstring": "获取 TeamOrder :param order_no: :return:",
"name": "get_order",
"signature": "def get_order(self, order_no: str) -> Union[TeamOrder, None]"
},
... | 3 | stack_v2_sparse_classes_30k_test_000320 | Implement the Python class `TeamOrderCallbackMixin` described below.
Class description:
Implement the TeamOrderCallbackMixin class.
Method signatures and docstrings:
- def check_state(self, order: TeamOrder): 校验订单状态 :param order: :return:
- def get_order(self, order_no: str) -> Union[TeamOrder, None]: 获取 TeamOrder :p... | Implement the Python class `TeamOrderCallbackMixin` described below.
Class description:
Implement the TeamOrderCallbackMixin class.
Method signatures and docstrings:
- def check_state(self, order: TeamOrder): 校验订单状态 :param order: :return:
- def get_order(self, order_no: str) -> Union[TeamOrder, None]: 获取 TeamOrder :p... | 49c31d9cce6ca451ff069697913b33fe55028a46 | <|skeleton|>
class TeamOrderCallbackMixin:
def check_state(self, order: TeamOrder):
"""校验订单状态 :param order: :return:"""
<|body_0|>
def get_order(self, order_no: str) -> Union[TeamOrder, None]:
"""获取 TeamOrder :param order_no: :return:"""
<|body_1|>
def _finish_order(self, ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TeamOrderCallbackMixin:
def check_state(self, order: TeamOrder):
"""校验订单状态 :param order: :return:"""
if order.state >= TeamOrder.OrderState.WAIT_BUYER_PAY.value or order.state <= TeamOrder.OrderState.WAIT_PAY_RETURN.value:
return True
raise ApiException(422, '订单已支付无需重复支付')
... | the_stack_v2_python_sparse | PaiDuiGuanJia/yiyun/handlers/rest/order.py | haoweiking/image_tesseract_private | train | 0 | |
44456eba309e5b94c27bf629b021840591fb923e | [
"Base.__init__(self, target, opts)\nself.host, self.port, self.scheme, self.path = self._parse_url(self.target)\nreturn",
"opts = f'-w {self.target} -S -F -v'\nself._run_tool('spipscan', opts)\nreturn"
] | <|body_start_0|>
Base.__init__(self, target, opts)
self.host, self.port, self.scheme, self.path = self._parse_url(self.target)
return
<|end_body_0|>
<|body_start_1|>
opts = f'-w {self.target} -S -F -v'
self._run_tool('spipscan', opts)
return
<|end_body_1|>
| SPIP CMS module | SPIP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SPIP:
"""SPIP CMS module"""
def __init__(self, target, opts):
"""init"""
<|body_0|>
def spipscan(self):
"""DESCR: Scan SPIP CMS site for installed plugins, themes, possible vulns, etc. (ext) TOOLS: spipscan"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_36k_train_028622 | 1,980 | no_license | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, target, opts)"
},
{
"docstring": "DESCR: Scan SPIP CMS site for installed plugins, themes, possible vulns, etc. (ext) TOOLS: spipscan",
"name": "spipscan",
"signature": "def spipscan(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012566 | Implement the Python class `SPIP` described below.
Class description:
SPIP CMS module
Method signatures and docstrings:
- def __init__(self, target, opts): init
- def spipscan(self): DESCR: Scan SPIP CMS site for installed plugins, themes, possible vulns, etc. (ext) TOOLS: spipscan | Implement the Python class `SPIP` described below.
Class description:
SPIP CMS module
Method signatures and docstrings:
- def __init__(self, target, opts): init
- def spipscan(self): DESCR: Scan SPIP CMS site for installed plugins, themes, possible vulns, etc. (ext) TOOLS: spipscan
<|skeleton|>
class SPIP:
"""SP... | ddc052c8d7d43a60fc00ea40d85111d5bd7a282e | <|skeleton|>
class SPIP:
"""SPIP CMS module"""
def __init__(self, target, opts):
"""init"""
<|body_0|>
def spipscan(self):
"""DESCR: Scan SPIP CMS site for installed plugins, themes, possible vulns, etc. (ext) TOOLS: spipscan"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SPIP:
"""SPIP CMS module"""
def __init__(self, target, opts):
"""init"""
Base.__init__(self, target, opts)
self.host, self.port, self.scheme, self.path = self._parse_url(self.target)
return
def spipscan(self):
"""DESCR: Scan SPIP CMS site for installed plugins... | the_stack_v2_python_sparse | src/modules/web/spip.py | noptrix/nullscan | train | 52 |
0edde025936976aa089bd6cf642279cdd08c7033 | [
"super().__init__()\nself.image = None\nself.name = ''\nself.color = ''\nself.screen = chess_game.screen\nself.x, self.y = (0.0, 0.0)",
"self.rect = self.image.get_rect()\nself.rect.topleft = (self.x, self.y)\nself.screen.blit(self.image, self.rect)"
] | <|body_start_0|>
super().__init__()
self.image = None
self.name = ''
self.color = ''
self.screen = chess_game.screen
self.x, self.y = (0.0, 0.0)
<|end_body_0|>
<|body_start_1|>
self.rect = self.image.get_rect()
self.rect.topleft = (self.x, self.y)
... | Represents a chess piece. | Piece | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Piece:
"""Represents a chess piece."""
def __init__(self, chess_game):
"""Initialize attributes to represent a ches piece."""
<|body_0|>
def blitme(self):
"""Draw the piece at its current location."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_028623 | 2,009 | permissive | [
{
"docstring": "Initialize attributes to represent a ches piece.",
"name": "__init__",
"signature": "def __init__(self, chess_game)"
},
{
"docstring": "Draw the piece at its current location.",
"name": "blitme",
"signature": "def blitme(self)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000480 | Implement the Python class `Piece` described below.
Class description:
Represents a chess piece.
Method signatures and docstrings:
- def __init__(self, chess_game): Initialize attributes to represent a ches piece.
- def blitme(self): Draw the piece at its current location. | Implement the Python class `Piece` described below.
Class description:
Represents a chess piece.
Method signatures and docstrings:
- def __init__(self, chess_game): Initialize attributes to represent a ches piece.
- def blitme(self): Draw the piece at its current location.
<|skeleton|>
class Piece:
"""Represents... | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | <|skeleton|>
class Piece:
"""Represents a chess piece."""
def __init__(self, chess_game):
"""Initialize attributes to represent a ches piece."""
<|body_0|>
def blitme(self):
"""Draw the piece at its current location."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Piece:
"""Represents a chess piece."""
def __init__(self, chess_game):
"""Initialize attributes to represent a ches piece."""
super().__init__()
self.image = None
self.name = ''
self.color = ''
self.screen = chess_game.screen
self.x, self.y = (0.0, ... | the_stack_v2_python_sparse | MY_REPOS/Lambda-Resource-Static-Assets/2-resources/BLOG/Python/pcc_2e-master/beyond_pcc/chess_game/chess_set.py | bgoonz/UsefulResourceRepo2.0 | train | 10 |
ea8ad6ff1c8eb443684dcf7e4ba8e560c1242348 | [
"lender = self.rate_quote_request.get_par_lender(term, amortization)\nscenarios = self.rate_quote_request.get_scenarios(term, amortization)\npar_lender = self.serializer(lender).data\ndata = self.serializer(scenarios, many=True).data\nresults = {'par_lender': par_lender if par_lender else None, 'request_uuid': self... | <|body_start_0|>
lender = self.rate_quote_request.get_par_lender(term, amortization)
scenarios = self.rate_quote_request.get_scenarios(term, amortization)
par_lender = self.serializer(lender).data
data = self.serializer(scenarios, many=True).data
results = {'par_lender': par_lend... | Returns rate quote request and rate quote view results. | RateQuoteMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RateQuoteMixin:
"""Returns rate quote request and rate quote view results."""
def get_results(self, term=None, amortization=None):
"""Returns rate quote results. Every result object includes the par_lender and matching scenarios. :param term: str, term :param amortization: str, amort... | stack_v2_sparse_classes_36k_train_028624 | 14,021 | no_license | [
{
"docstring": "Returns rate quote results. Every result object includes the par_lender and matching scenarios. :param term: str, term :param amortization: str, amortization :return: rate quotes :rtype: `dict`",
"name": "get_results",
"signature": "def get_results(self, term=None, amortization=None)"
... | 2 | stack_v2_sparse_classes_30k_train_006953 | Implement the Python class `RateQuoteMixin` described below.
Class description:
Returns rate quote request and rate quote view results.
Method signatures and docstrings:
- def get_results(self, term=None, amortization=None): Returns rate quote results. Every result object includes the par_lender and matching scenario... | Implement the Python class `RateQuoteMixin` described below.
Class description:
Returns rate quote request and rate quote view results.
Method signatures and docstrings:
- def get_results(self, term=None, amortization=None): Returns rate quote results. Every result object includes the par_lender and matching scenario... | f1a8cd8268d032ea8321e1588e226da09925b7aa | <|skeleton|>
class RateQuoteMixin:
"""Returns rate quote request and rate quote view results."""
def get_results(self, term=None, amortization=None):
"""Returns rate quote results. Every result object includes the par_lender and matching scenarios. :param term: str, term :param amortization: str, amort... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RateQuoteMixin:
"""Returns rate quote request and rate quote view results."""
def get_results(self, term=None, amortization=None):
"""Returns rate quote results. Every result object includes the par_lender and matching scenarios. :param term: str, term :param amortization: str, amortization :retu... | the_stack_v2_python_sparse | website/apps/mortgage_profiles/views.py | protoprojects/worksample | train | 0 |
1707b7899a0068f2ad718b419dfa1dc376813e6a | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | This service manages the permissions of a user on a given customer. | CustomerUserAccessServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomerUserAccessServiceServicer:
"""This service manages the permissions of a user on a given customer."""
def GetCustomerUserAccess(self, request, context):
"""Returns the CustomerUserAccess in full detail."""
<|body_0|>
def MutateCustomerUserAccess(self, request, con... | stack_v2_sparse_classes_36k_train_028625 | 5,813 | permissive | [
{
"docstring": "Returns the CustomerUserAccess in full detail.",
"name": "GetCustomerUserAccess",
"signature": "def GetCustomerUserAccess(self, request, context)"
},
{
"docstring": "Updates, removes permission of a user on a given customer. Operation statuses are returned.",
"name": "MutateC... | 2 | null | Implement the Python class `CustomerUserAccessServiceServicer` described below.
Class description:
This service manages the permissions of a user on a given customer.
Method signatures and docstrings:
- def GetCustomerUserAccess(self, request, context): Returns the CustomerUserAccess in full detail.
- def MutateCusto... | Implement the Python class `CustomerUserAccessServiceServicer` described below.
Class description:
This service manages the permissions of a user on a given customer.
Method signatures and docstrings:
- def GetCustomerUserAccess(self, request, context): Returns the CustomerUserAccess in full detail.
- def MutateCusto... | 969eff5b6c3cec59d21191fa178cffb6270074c3 | <|skeleton|>
class CustomerUserAccessServiceServicer:
"""This service manages the permissions of a user on a given customer."""
def GetCustomerUserAccess(self, request, context):
"""Returns the CustomerUserAccess in full detail."""
<|body_0|>
def MutateCustomerUserAccess(self, request, con... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomerUserAccessServiceServicer:
"""This service manages the permissions of a user on a given customer."""
def GetCustomerUserAccess(self, request, context):
"""Returns the CustomerUserAccess in full detail."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details(... | the_stack_v2_python_sparse | google/ads/google_ads/v6/proto/services/customer_user_access_service_pb2_grpc.py | VincentFritzsche/google-ads-python | train | 0 |
895182bf4dc872bc1378bc6a4ea8d07eb5023930 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn DocumentSetContent()",
"from .content_type_info import ContentTypeInfo\nfrom .content_type_info import ContentTypeInfo\nfields: Dict[str, Callable[[Any], None]] = {'contentType': lambda n: setattr(self, 'content_type', n.get_object_val... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return DocumentSetContent()
<|end_body_0|>
<|body_start_1|>
from .content_type_info import ContentTypeInfo
from .content_type_info import ContentTypeInfo
fields: Dict[str, Callable[[Any... | DocumentSetContent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentSetContent:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DocumentSetContent:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the obje... | stack_v2_sparse_classes_36k_train_028626 | 3,285 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: DocumentSetContent",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_... | 3 | null | Implement the Python class `DocumentSetContent` described below.
Class description:
Implement the DocumentSetContent class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DocumentSetContent: Creates a new instance of the appropriate class based on disc... | Implement the Python class `DocumentSetContent` described below.
Class description:
Implement the DocumentSetContent class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DocumentSetContent: Creates a new instance of the appropriate class based on disc... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class DocumentSetContent:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DocumentSetContent:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the obje... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DocumentSetContent:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DocumentSetContent:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: Do... | the_stack_v2_python_sparse | msgraph/generated/models/document_set_content.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
6b914d2d05aa8965de3cb9676c420d51a2758717 | [
"super().__init__(*args, **kwargs)\nself.full_model_name = full_model_name\nself.app_name, self.related_model_name = full_model_name.split('.')\nself.label = full_model_name\nself.known_models = RegisteredModels()",
"if isinstance(value, Model):\n return value\nif isinstance(value, int):\n model_class = sel... | <|body_start_0|>
super().__init__(*args, **kwargs)
self.full_model_name = full_model_name
self.app_name, self.related_model_name = full_model_name.split('.')
self.label = full_model_name
self.known_models = RegisteredModels()
<|end_body_0|>
<|body_start_1|>
if isinstance... | Field representing a model. ForeignKey relation is modeled with this field. | ModelField | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
<|body_0|>
def to_python(self, value):
"""Return the python object representing the field.""... | stack_v2_sparse_classes_36k_train_028627 | 19,131 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, full_model_name: str, *args, **kwargs)"
},
{
"docstring": "Return the python object representing the field.",
"name": "to_python",
"signature": "def to_python(self, value)"
},
{
"docstring": "Conve... | 3 | stack_v2_sparse_classes_30k_val_001019 | Implement the Python class `ModelField` described below.
Class description:
Field representing a model. ForeignKey relation is modeled with this field.
Method signatures and docstrings:
- def __init__(self, full_model_name: str, *args, **kwargs): Initialize.
- def to_python(self, value): Return the python object repr... | Implement the Python class `ModelField` described below.
Class description:
Field representing a model. ForeignKey relation is modeled with this field.
Method signatures and docstrings:
- def __init__(self, full_model_name: str, *args, **kwargs): Initialize.
- def to_python(self, value): Return the python object repr... | 25c0c45235ef37beb45c1af4c917fbbae6282016 | <|skeleton|>
class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
<|body_0|>
def to_python(self, value):
"""Return the python object representing the field.""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
super().__init__(*args, **kwargs)
self.full_model_name = full_model_name
self.app_name, self.related_m... | the_stack_v2_python_sparse | resolwe/process/models.py | genialis/resolwe | train | 35 |
dd37921bff2b13e5679212df0e0548c519441e6a | [
"display_session = self.kwargs.get('display_session', None)\ndisplay_date = self.kwargs.get('display_date', None)\nsessions = decide_session(sess=display_session, display_date=display_date)\nself.kwargs['sessions'] = sessions\nq = self.model.objects.filter(classoffer__session__in=sessions)\nq = q.order_by(*self.que... | <|body_start_0|>
display_session = self.kwargs.get('display_session', None)
display_date = self.kwargs.get('display_date', None)
sessions = decide_session(sess=display_session, display_date=display_date)
self.kwargs['sessions'] = sessions
q = self.model.objects.filter(classoffer_... | This is a report for which students are in which classes. | Checkin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Checkin:
"""This is a report for which students are in which classes."""
def get_queryset(self):
"""List all the students from all the classes sorted according to the class property query_order_by. Student list should be grouped in days, then in start_time order, and then alphabetica... | stack_v2_sparse_classes_36k_train_028628 | 26,158 | no_license | [
{
"docstring": "List all the students from all the classes sorted according to the class property query_order_by. Student list should be grouped in days, then in start_time order, and then alphabetical first name.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_010592 | Implement the Python class `Checkin` described below.
Class description:
This is a report for which students are in which classes.
Method signatures and docstrings:
- def get_queryset(self): List all the students from all the classes sorted according to the class property query_order_by. Student list should be groupe... | Implement the Python class `Checkin` described below.
Class description:
This is a report for which students are in which classes.
Method signatures and docstrings:
- def get_queryset(self): List all the students from all the classes sorted according to the class property query_order_by. Student list should be groupe... | cd03dbbc45e2337464f5d2a41aafaccd658dc662 | <|skeleton|>
class Checkin:
"""This is a report for which students are in which classes."""
def get_queryset(self):
"""List all the students from all the classes sorted according to the class property query_order_by. Student list should be grouped in days, then in start_time order, and then alphabetica... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Checkin:
"""This is a report for which students are in which classes."""
def get_queryset(self):
"""List all the students from all the classes sorted according to the class property query_order_by. Student list should be grouped in days, then in start_time order, and then alphabetical first name.... | the_stack_v2_python_sparse | web/classwork/views.py | SeattleChris/hepcat | train | 2 |
a2e0ba27220fbd9824b88068a36f8662ab20da74 | [
"processed_dict = {}\nfor key, value in request.GET.items():\n processed_dict[key] = value\nsign = processed_dict.pop('sign', None)\nalipay = AliPay(appid='2016091700530193', app_notify_url='http://123.206.43.75:8080/alipay/return/', app_private_key_path=private_key_path, alipay_public_key_path=ali_pub_key_path,... | <|body_start_0|>
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = processed_dict.pop('sign', None)
alipay = AliPay(appid='2016091700530193', app_notify_url='http://123.206.43.75:8080/alipay/return/', app_private_key_path=private_ke... | AlipayView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlipayView:
def get(self, request):
"""处理支付宝的return_url的返回 :param request: :return:"""
<|body_0|>
def post(self, request):
"""处理支付宝的notify_url :param request: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
processed_dict = {}
for k... | stack_v2_sparse_classes_36k_train_028629 | 6,503 | no_license | [
{
"docstring": "处理支付宝的return_url的返回 :param request: :return:",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "处理支付宝的notify_url :param request: :return:",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | null | Implement the Python class `AlipayView` described below.
Class description:
Implement the AlipayView class.
Method signatures and docstrings:
- def get(self, request): 处理支付宝的return_url的返回 :param request: :return:
- def post(self, request): 处理支付宝的notify_url :param request: :return: | Implement the Python class `AlipayView` described below.
Class description:
Implement the AlipayView class.
Method signatures and docstrings:
- def get(self, request): 处理支付宝的return_url的返回 :param request: :return:
- def post(self, request): 处理支付宝的notify_url :param request: :return:
<|skeleton|>
class AlipayView:
... | 4447903730466ef88442c3019c33a4117544c2a1 | <|skeleton|>
class AlipayView:
def get(self, request):
"""处理支付宝的return_url的返回 :param request: :return:"""
<|body_0|>
def post(self, request):
"""处理支付宝的notify_url :param request: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AlipayView:
def get(self, request):
"""处理支付宝的return_url的返回 :param request: :return:"""
processed_dict = {}
for key, value in request.GET.items():
processed_dict[key] = value
sign = processed_dict.pop('sign', None)
alipay = AliPay(appid='2016091700530193', ap... | the_stack_v2_python_sparse | python/restframework项目/apps/trade/views.py | neverqaz/code | train | 1 | |
2e9a3a07b7d32bbe35ad945ef2f107fac83a362a | [
"source_map = defaultdict(lambda: 'USD')\ncost_models = CostModel.objects.all().values('uuid', 'currency').distinct()\ncm_to_currency = {row['uuid']: row['currency'] for row in cost_models}\nmapping = CostModelMap.objects.all().values('provider_uuid', 'cost_model_id')\nsource_map |= {row['provider_uuid']: cm_to_cur... | <|body_start_0|>
source_map = defaultdict(lambda: 'USD')
cost_models = CostModel.objects.all().values('uuid', 'currency').distinct()
cm_to_currency = {row['uuid']: row['currency'] for row in cost_models}
mapping = CostModelMap.objects.all().values('provider_uuid', 'cost_model_id')
... | OCP forecasting class. | OCPForecast | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OCPForecast:
"""OCP forecasting class."""
def source_to_currency_map(self):
"""OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency. returns: dict: {source_uuid: currency}"""
<|body... | stack_v2_sparse_classes_36k_train_028630 | 26,653 | permissive | [
{
"docstring": "OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency. returns: dict: {source_uuid: currency}",
"name": "source_to_currency_map",
"signature": "def source_to_currency_map(self)"
},
{
"do... | 2 | stack_v2_sparse_classes_30k_train_004364 | Implement the Python class `OCPForecast` described below.
Class description:
OCP forecasting class.
Method signatures and docstrings:
- def source_to_currency_map(self): OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency.... | Implement the Python class `OCPForecast` described below.
Class description:
OCP forecasting class.
Method signatures and docstrings:
- def source_to_currency_map(self): OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency.... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class OCPForecast:
"""OCP forecasting class."""
def source_to_currency_map(self):
"""OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency. returns: dict: {source_uuid: currency}"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OCPForecast:
"""OCP forecasting class."""
def source_to_currency_map(self):
"""OCP sources do not have costs associated, so we need to grab the base currency from the cost model, and create a mapping of source_uuid to currency. returns: dict: {source_uuid: currency}"""
source_map = defaul... | the_stack_v2_python_sparse | koku/forecast/forecast.py | project-koku/koku | train | 225 |
f0bad99e0ba3078c8a58181b37bc0a097170e001 | [
"self.modis_id = modis_id\nself.variable_list = variable_list\nself.start_date = start_date\nself.end_date = end_date\nself.daynightboth = daynightboth\nself.grid = grid\nself.grid_fill = grid_fill\nself.use_long_name = use_long_name\nif modis_platform.lower() == 'terra':\n self.modis_platform = 'MOD'\nelif modi... | <|body_start_0|>
self.modis_id = modis_id
self.variable_list = variable_list
self.start_date = start_date
self.end_date = end_date
self.daynightboth = daynightboth
self.grid = grid
self.grid_fill = grid_fill
self.use_long_name = use_long_name
if mo... | Data Fetcher for MODIS data | DataFetcher | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFetcher:
"""Data Fetcher for MODIS data"""
def __init__(self, ap_paramList, modis_platform, modis_id, variable_list, start_date, end_date, daynightboth='D', grid=None, grid_fill=np.nan, use_long_name=False):
"""Construct Data Fetcher object @param ap_paramList[lat]: Search latitu... | stack_v2_sparse_classes_36k_train_028631 | 4,630 | permissive | [
{
"docstring": "Construct Data Fetcher object @param ap_paramList[lat]: Search latitude @param ap_paramList[lon]: Search longitude @param modis_platform: Platform (Either \"Terra\" or \"Aqua\") @param modis_id: Product string (e.g. '06_L2') @param variable_list: List of variables to fetch @param start_date: Sta... | 2 | stack_v2_sparse_classes_30k_train_015364 | Implement the Python class `DataFetcher` described below.
Class description:
Data Fetcher for MODIS data
Method signatures and docstrings:
- def __init__(self, ap_paramList, modis_platform, modis_id, variable_list, start_date, end_date, daynightboth='D', grid=None, grid_fill=np.nan, use_long_name=False): Construct Da... | Implement the Python class `DataFetcher` described below.
Class description:
Data Fetcher for MODIS data
Method signatures and docstrings:
- def __init__(self, ap_paramList, modis_platform, modis_id, variable_list, start_date, end_date, daynightboth='D', grid=None, grid_fill=np.nan, use_long_name=False): Construct Da... | 935bfd54149abd9542fe38e77b7eabab48b1c3a1 | <|skeleton|>
class DataFetcher:
"""Data Fetcher for MODIS data"""
def __init__(self, ap_paramList, modis_platform, modis_id, variable_list, start_date, end_date, daynightboth='D', grid=None, grid_fill=np.nan, use_long_name=False):
"""Construct Data Fetcher object @param ap_paramList[lat]: Search latitu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataFetcher:
"""Data Fetcher for MODIS data"""
def __init__(self, ap_paramList, modis_platform, modis_id, variable_list, start_date, end_date, daynightboth='D', grid=None, grid_fill=np.nan, use_long_name=False):
"""Construct Data Fetcher object @param ap_paramList[lat]: Search latitude @param ap_... | the_stack_v2_python_sparse | skdaccess/geo/modis/stream/data_fetcher.py | MITHaystack/scikit-dataaccess | train | 41 |
fe1cc95e1389adb73dd967b81a4e4041d0e6fa9a | [
"super(MixedLoss, self).__init__(mode)\nif not isinstance(losses, list):\n raise TypeError('`losses` must be a list!')\nif not isinstance(coef, list):\n raise TypeError('`coef` must be a list!')\nlen_losses = len(losses)\nlen_coef = len(coef)\nif len_losses != len_coef:\n raise ValueError('The length of `l... | <|body_start_0|>
super(MixedLoss, self).__init__(mode)
if not isinstance(losses, list):
raise TypeError('`losses` must be a list!')
if not isinstance(coef, list):
raise TypeError('`coef` must be a list!')
len_losses = len(losses)
len_coef = len(coef)
... | Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting coefficient of multiple loss Returns: A callable object of MixedLoss. | MixedLoss | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MixedLoss:
"""Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting coefficient of multiple loss Returns: ... | stack_v2_sparse_classes_36k_train_028632 | 2,624 | permissive | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, mode, losses, coef)"
},
{
"docstring": "分类",
"name": "__clas__",
"signature": "def __clas__(self, logits, labels, info=None)"
},
{
"docstring": "分割",
"name": "__seg__",
"signature": "def __seg__(s... | 3 | stack_v2_sparse_classes_30k_train_000338 | Implement the Python class `MixedLoss` described below.
Class description:
Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting... | Implement the Python class `MixedLoss` described below.
Class description:
Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting... | f3932a934404899249f80098134df4b2d24e7d4e | <|skeleton|>
class MixedLoss:
"""Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting coefficient of multiple loss Returns: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MixedLoss:
"""Weighted computations for multiple Loss. The advantage is that mixed loss training can be achieved without changing the networking code. Args: losses (list[nn.Layer]): A list consisting of multiple loss classes coef (list[float|int]): Weighting coefficient of multiple loss Returns: A callable ob... | the_stack_v2_python_sparse | CV/Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection/easymia/optimizer/losses/mixed_loss.py | Weili-NLP/Research | train | 0 |
76eb0249b1a88019a1a5036f28eec7bfb4b8620a | [
"if len(sequence) <= 1:\n return sequence\nelse:\n pivot = sequence.pop()\nlesser = []\ngreater = []\nfor item in sequence:\n if item > pivot:\n greater.append(item)\n else:\n lesser.append(item)\nreturn self.quick_sort(lesser) + [pivot] + self.quick_sort(greater)",
"sequence = []\nnode ... | <|body_start_0|>
if len(sequence) <= 1:
return sequence
else:
pivot = sequence.pop()
lesser = []
greater = []
for item in sequence:
if item > pivot:
greater.append(item)
else:
lesser.append(item)
... | LinkedListSort object extends the base LinkedList class | LinkedListQuickSort | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinkedListQuickSort:
"""LinkedListSort object extends the base LinkedList class"""
def quick_sort(self, sequence):
"""recursive quicksort method"""
<|body_0|>
def sort(self):
"""this method converts the linked list into a python list object to pass into the quick... | stack_v2_sparse_classes_36k_train_028633 | 2,182 | no_license | [
{
"docstring": "recursive quicksort method",
"name": "quick_sort",
"signature": "def quick_sort(self, sequence)"
},
{
"docstring": "this method converts the linked list into a python list object to pass into the quicksort recursive method and then rewrites the data on the linked list in the now ... | 2 | stack_v2_sparse_classes_30k_train_002809 | Implement the Python class `LinkedListQuickSort` described below.
Class description:
LinkedListSort object extends the base LinkedList class
Method signatures and docstrings:
- def quick_sort(self, sequence): recursive quicksort method
- def sort(self): this method converts the linked list into a python list object t... | Implement the Python class `LinkedListQuickSort` described below.
Class description:
LinkedListSort object extends the base LinkedList class
Method signatures and docstrings:
- def quick_sort(self, sequence): recursive quicksort method
- def sort(self): this method converts the linked list into a python list object t... | b24eeb751d6238d5ac2075c47469aa8548440c8d | <|skeleton|>
class LinkedListQuickSort:
"""LinkedListSort object extends the base LinkedList class"""
def quick_sort(self, sequence):
"""recursive quicksort method"""
<|body_0|>
def sort(self):
"""this method converts the linked list into a python list object to pass into the quick... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinkedListQuickSort:
"""LinkedListSort object extends the base LinkedList class"""
def quick_sort(self, sequence):
"""recursive quicksort method"""
if len(sequence) <= 1:
return sequence
else:
pivot = sequence.pop()
lesser = []
greater = []
... | the_stack_v2_python_sparse | code-samples/python/linked_lists/quicksort.py | dlenwell/interview-prep-notes | train | 0 |
8955e4d760170830be988301c685e4bfab43c91c | [
"params = kwarg['params']\ncmd = 'if{} '.format(command)\nif 'options' in params:\n cmd += '{} '.format(params['options'])\nif 'exclude_iface' in params:\n for e in params['exclude_iface']:\n cmd += '-X {} '.format(e)\nif 'force' in params and params['force']:\n cmd += '-f '\nif 'iface' in params:\n... | <|body_start_0|>
params = kwarg['params']
cmd = 'if{} '.format(command)
if 'options' in params:
cmd += '{} '.format(params['options'])
if 'exclude_iface' in params:
for e in params['exclude_iface']:
cmd += '-X {} '.format(e)
if 'force' in p... | ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration | LinuxInterfaceImpl | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinuxInterfaceImpl:
"""ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration"""
def format_up_down(self, command, *argv, **k... | stack_v2_sparse_classes_36k_train_028634 | 5,487 | permissive | [
{
"docstring": "ifup [-h] [-a] [-v] [-d] [--allow CLASS] [--with-depends] [-X EXCLUDEPATS] [-f] [-n] [-s] [--print-dependency {list,dot}] [IFACE [IFACE ...]] positional arguments: IFACE interface list separated by spaces. IFACE list and '-a' argument are mutually exclusive. optional arguments: -a, --all process... | 3 | stack_v2_sparse_classes_30k_train_015013 | Implement the Python class `LinuxInterfaceImpl` described below.
Class description:
ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration
Method signa... | Implement the Python class `LinuxInterfaceImpl` described below.
Class description:
ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration
Method signa... | e4c8221e18cd94e7424c30e12eb0fb82f7767267 | <|skeleton|>
class LinuxInterfaceImpl:
"""ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration"""
def format_up_down(self, command, *argv, **k... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinuxInterfaceImpl:
"""ifupdown - network interface management commands ifup - bring a network interface up ifdown - take a network interface down ifquery - query network interface configuration ifreload - reload network interface configuration"""
def format_up_down(self, command, *argv, **kwarg):
... | the_stack_v2_python_sparse | Amazon_Framework/DentOsTestbedLib/src/dent_os_testbed/lib/interfaces/linux/linux_interface_impl.py | tld3daniel/testing | train | 0 |
93b29bf2d107f9c98747df3513335765abdf702a | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UserSimulationDetails()",
"from .attack_simulation_user import AttackSimulationUser\nfrom .user_simulation_event_info import UserSimulationEventInfo\nfrom .user_training_event_info import UserTrainingEventInfo\nfrom .attack_simulation_... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UserSimulationDetails()
<|end_body_0|>
<|body_start_1|>
from .attack_simulation_user import AttackSimulationUser
from .user_simulation_event_info import UserSimulationEventInfo
f... | UserSimulationDetails | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSimulationDetails:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSimulationDetails:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create th... | stack_v2_sparse_classes_36k_train_028635 | 6,089 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: UserSimulationDetails",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminat... | 3 | null | Implement the Python class `UserSimulationDetails` described below.
Class description:
Implement the UserSimulationDetails class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSimulationDetails: Creates a new instance of the appropriate class base... | Implement the Python class `UserSimulationDetails` described below.
Class description:
Implement the UserSimulationDetails class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSimulationDetails: Creates a new instance of the appropriate class base... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UserSimulationDetails:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSimulationDetails:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserSimulationDetails:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSimulationDetails:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Retur... | the_stack_v2_python_sparse | msgraph/generated/models/user_simulation_details.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
aa4c911080a2b16c3b1ca2ff1c583e5a7b4a32a6 | [
"nums.sort()\nn = len(nums)\nresidual = float('inf')\nfor i in range(n - 2):\n j = i + 1\n k = n - 1\n while j < k:\n if nums[i] + nums[j] + nums[k] > target:\n new_residual = abs(nums[i] + nums[j] + nums[k] - target)\n if new_residual < residual:\n residual = ne... | <|body_start_0|>
nums.sort()
n = len(nums)
residual = float('inf')
for i in range(n - 2):
j = i + 1
k = n - 1
while j < k:
if nums[i] + nums[j] + nums[k] > target:
new_residual = abs(nums[i] + nums[j] + nums[k] - tar... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def threeSumClosest1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_028636 | 2,553 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "threeSumClosest",
"signature": "def threeSumClosest(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "threeSumClosest1",
"signature": "def threeSumClosest1(... | 2 | stack_v2_sparse_classes_30k_val_000733 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSumClosest(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def threeSumClosest1(self, nums, target): :type nums: List[int] :type target: int :... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def threeSumClosest(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def threeSumClosest1(self, nums, target): :type nums: List[int] :type target: int :... | c55b0cfd2967a2221c27ed738e8de15034775945 | <|skeleton|>
class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def threeSumClosest1(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def threeSumClosest(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
nums.sort()
n = len(nums)
residual = float('inf')
for i in range(n - 2):
j = i + 1
k = n - 1
while j < k:
if ... | the_stack_v2_python_sparse | PycharmProjects/leetcode/Find/16最接近的三数之和.py | crystal30/DataStructure | train | 0 | |
ae655e6d2331210a2a9fe58cfced49745b925ace | [
"for path in sys.path:\n if path.endswith('categories'):\n _category_dir = path\n elif path.endswith('model'):\n _config_path = os.path.join(path, 'config.xml')\n_found_cats = self._scan_model(_category_dir)\n_order = self._read_configs(_config_path)\nself.cats_container = self._instantiate_cats... | <|body_start_0|>
for path in sys.path:
if path.endswith('categories'):
_category_dir = path
elif path.endswith('model'):
_config_path = os.path.join(path, 'config.xml')
_found_cats = self._scan_model(_category_dir)
_order = self._read_confi... | ExtensionLoader | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExtensionLoader:
def __init__(self):
"""public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for categories | *_config_path*: a path to config.xml | *_found_cats*: a list of category paths | *_order*: a li... | stack_v2_sparse_classes_36k_train_028637 | 4,765 | permissive | [
{
"docstring": "public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for categories | *_config_path*: a path to config.xml | *_found_cats*: a list of category paths | *_order*: a list of available categories taken from config Ret... | 4 | null | Implement the Python class `ExtensionLoader` described below.
Class description:
Implement the ExtensionLoader class.
Method signatures and docstrings:
- def __init__(self): public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for cate... | Implement the Python class `ExtensionLoader` described below.
Class description:
Implement the ExtensionLoader class.
Method signatures and docstrings:
- def __init__(self): public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for cate... | 0dc9becc09da22af3edac90b81b1dd9b1f44fd5b | <|skeleton|>
class ExtensionLoader:
def __init__(self):
"""public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for categories | *_config_path*: a path to config.xml | *_found_cats*: a list of category paths | *_order*: a li... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExtensionLoader:
def __init__(self):
"""public Attributes: | *cats_container*: a dict with Category names and instances private Attributes: | *_category_dir*: a directory path for categories | *_config_path*: a path to config.xml | *_found_cats*: a list of category paths | *_order*: a list of availabl... | the_stack_v2_python_sparse | nefi2/model/ext_loader.py | andreasfirczynski/NetworkExtractionFromImages | train | 0 | |
5515edd6251b34dee0b3e9c86d49f33b64eda1c1 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn DelegatedPermissionClassification()",
"from .entity import Entity\nfrom .permission_classification_type import PermissionClassificationType\nfrom .entity import Entity\nfrom .permission_classification_type import PermissionClassificati... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return DelegatedPermissionClassification()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .permission_classification_type import PermissionClassificationType
from .enti... | DelegatedPermissionClassification | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DelegatedPermissionClassification:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedPermissionClassification:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_36k_train_028638 | 3,149 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: DelegatedPermissionClassification",
"name": "create_from_discriminator_value",
"signature": "def create_from... | 3 | null | Implement the Python class `DelegatedPermissionClassification` described below.
Class description:
Implement the DelegatedPermissionClassification class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedPermissionClassification: Creates a new in... | Implement the Python class `DelegatedPermissionClassification` described below.
Class description:
Implement the DelegatedPermissionClassification class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedPermissionClassification: Creates a new in... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class DelegatedPermissionClassification:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedPermissionClassification:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DelegatedPermissionClassification:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> DelegatedPermissionClassification:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and... | the_stack_v2_python_sparse | msgraph/generated/models/delegated_permission_classification.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
9654ec15c2865b73528d6169c39f6580b43deb0d | [
"self.available_filters = {}\nself.available_filters['leet'] = LeetFilter()\nself.available_filters['robber'] = RobberFilter()",
"if args == None or args == '' or len(args.split(' ')) < 2:\n return 'Insufficient information, please check help.'\nlanguage = args.split(' ')[0].lower()\ntext = ' '.join(args.split... | <|body_start_0|>
self.available_filters = {}
self.available_filters['leet'] = LeetFilter()
self.available_filters['robber'] = RobberFilter()
<|end_body_0|>
<|body_start_1|>
if args == None or args == '' or len(args.split(' ')) < 2:
return 'Insufficient information, please ch... | A plugin to filter text. | Filter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Filter:
"""A plugin to filter text."""
def _on_register(self):
"""Register available filters."""
<|body_0|>
def handle_filter(self, command, args, msg):
"""Parses the text through a filter"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.ava... | stack_v2_sparse_classes_36k_train_028639 | 4,266 | permissive | [
{
"docstring": "Register available filters.",
"name": "_on_register",
"signature": "def _on_register(self)"
},
{
"docstring": "Parses the text through a filter",
"name": "handle_filter",
"signature": "def handle_filter(self, command, args, msg)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008136 | Implement the Python class `Filter` described below.
Class description:
A plugin to filter text.
Method signatures and docstrings:
- def _on_register(self): Register available filters.
- def handle_filter(self, command, args, msg): Parses the text through a filter | Implement the Python class `Filter` described below.
Class description:
A plugin to filter text.
Method signatures and docstrings:
- def _on_register(self): Register available filters.
- def handle_filter(self, command, args, msg): Parses the text through a filter
<|skeleton|>
class Filter:
"""A plugin to filter... | 6690cc9f644d5b0c9f8eb6e3540eea336ed61847 | <|skeleton|>
class Filter:
"""A plugin to filter text."""
def _on_register(self):
"""Register available filters."""
<|body_0|>
def handle_filter(self, command, args, msg):
"""Parses the text through a filter"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Filter:
"""A plugin to filter text."""
def _on_register(self):
"""Register available filters."""
self.available_filters = {}
self.available_filters['leet'] = LeetFilter()
self.available_filters['robber'] = RobberFilter()
def handle_filter(self, command, args, msg):
... | the_stack_v2_python_sparse | sleekbot/plugins/filter.py | hgrecco/SleekBot | train | 2 |
2190faf1dba8c9a34582b93824a41e8f7d5c099b | [
"self.nodes = nodes\nself.dist = dist\nself.size = size\nself.blacklist = blacklist",
"for node in self.nodes:\n if self.blacklist and node.is_in(self.blacklist):\n continue\n yield node",
"candidates = deque()\nprev = None\nnode_count = 0\nfor node in self.filter_nodes():\n node_count += 1\n ... | <|body_start_0|>
self.nodes = nodes
self.dist = dist
self.size = size
self.blacklist = blacklist
<|end_body_0|>
<|body_start_1|>
for node in self.nodes:
if self.blacklist and node.is_in(self.blacklist):
continue
yield node
<|end_body_1|>
... | GenomeSLINK | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenomeSLINK:
def __init__(self, nodes, dist, size=1, blacklist=None):
"""Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNodes sorted by chrA, posA dist : int Maximum clustering distance. size : int Minimum cluster size. Re... | stack_v2_sparse_classes_36k_train_028640 | 8,944 | no_license | [
{
"docstring": "Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNodes sorted by chrA, posA dist : int Maximum clustering distance. size : int Minimum cluster size. Recommended to use 1 for call/variant clustering, scale up for read pair clustering... | 5 | stack_v2_sparse_classes_30k_train_014777 | Implement the Python class `GenomeSLINK` described below.
Class description:
Implement the GenomeSLINK class.
Method signatures and docstrings:
- def __init__(self, nodes, dist, size=1, blacklist=None): Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNo... | Implement the Python class `GenomeSLINK` described below.
Class description:
Implement the GenomeSLINK class.
Method signatures and docstrings:
- def __init__(self, nodes, dist, size=1, blacklist=None): Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNo... | 3214cac465ee46e531c3cf5d78258b7aba4319a4 | <|skeleton|>
class GenomeSLINK:
def __init__(self, nodes, dist, size=1, blacklist=None):
"""Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNodes sorted by chrA, posA dist : int Maximum clustering distance. size : int Minimum cluster size. Re... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GenomeSLINK:
def __init__(self, nodes, dist, size=1, blacklist=None):
"""Graph-based single-linkage clustering of genomic coordinates. Parameters ---------- nodes : iterable of GSNode GSNodes sorted by chrA, posA dist : int Maximum clustering distance. size : int Minimum cluster size. Recommended to u... | the_stack_v2_python_sparse | svtk/genomeslink.py | xuefzhao/svtk | train | 2 | |
4022a86d614484bafe7548750f4e12f6a51dd300 | [
"try:\n self.key = RSA.import_key(private_key)\n self.cipher = PKCS1_OAEP.new(self.key)\n self.signer = pkcs1_15.new(self.key)\nexcept (ValueError, TypeError):\n print('导入私钥出错: %s' % private_key)",
"signature = None\ntry:\n result = self.cipher.decrypt(msg)\nexcept (ValueError, TypeError):\n res... | <|body_start_0|>
try:
self.key = RSA.import_key(private_key)
self.cipher = PKCS1_OAEP.new(self.key)
self.signer = pkcs1_15.new(self.key)
except (ValueError, TypeError):
print('导入私钥出错: %s' % private_key)
<|end_body_0|>
<|body_start_1|>
signature = ... | 这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。 | PrivateCipher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrivateCipher:
"""这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。"""
def __init__(self, private_key: bytes):
"""根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。"""
<|body_0|>
def decrypt_sign_message(self, msg: bytes)... | stack_v2_sparse_classes_36k_train_028641 | 3,452 | no_license | [
{
"docstring": "根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。",
"name": "__init__",
"signature": "def __init__(self, private_key: bytes)"
},
{
"docstring": "对收到的msg用私钥进行解密，同时用私钥对解密后的信息进行数字签名。 @param msg: 需要解密的信息。 @returns: (解密后的信息，数字签名信息)",
"name": "decrypt_sign_message",
"... | 2 | stack_v2_sparse_classes_30k_train_020240 | Implement the Python class `PrivateCipher` described below.
Class description:
这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。
Method signatures and docstrings:
- def __init__(self, private_key: bytes): 根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。
- def decryp... | Implement the Python class `PrivateCipher` described below.
Class description:
这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。
Method signatures and docstrings:
- def __init__(self, private_key: bytes): 根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。
- def decryp... | 8e012855cce61fb53437758021416e5f6deb02ea | <|skeleton|>
class PrivateCipher:
"""这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。"""
def __init__(self, private_key: bytes):
"""根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。"""
<|body_0|>
def decrypt_sign_message(self, msg: bytes)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PrivateCipher:
"""这个类包含对应的私钥创建的cipher，包含用私钥对信息进行解密和用私钥对信息进行签名的功能。 一般来讲，这部分应该是在服务器端处调用，用私钥解密收到的信息和对返回的信息进行签名。"""
def __init__(self, private_key: bytes):
"""根据提供的private_key初始化PrivateCipher. @param private_key: 私钥输入。"""
try:
self.key = RSA.import_key(private_key)
sel... | the_stack_v2_python_sparse | DEMO/auth_server/authantication/cipher.py | hanhiver/PythonBasic | train | 0 |
23ebb021b8f9ecc032743cc21fdfdb1d39e6db0e | [
"if not email:\n raise ValueError(_('The Email must be set'))\nemail = self.normalize_email(email)\nuser = self.model(email=email, **extra_fields)\nuser.set_password(password)\nuser.save()\nreturn user",
"extra_fields.setdefault('is_staff', True)\nextra_fields.setdefault('is_superuser', True)\nextra_fields.set... | <|body_start_0|>
if not email:
raise ValueError(_('The Email must be set'))
email = self.normalize_email(email)
user = self.model(email=email, **extra_fields)
user.set_password(password)
user.save()
return user
<|end_body_0|>
<|body_start_1|>
extra_fi... | Custom user model manager where email is the unique identifiers for authentication instead of usernames. | CustomUserManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Cate and save a User with the given email and password."""
<|body_0|>
def create_s... | stack_v2_sparse_classes_36k_train_028642 | 4,083 | permissive | [
{
"docstring": "Cate and save a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, password, **extra_fields)"
},
{
"docstring": "Create and save a SuperUser with the given email and password.",
"name": "create_superuser",
"signatur... | 2 | stack_v2_sparse_classes_30k_train_007716 | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password, **extra_fields): Cate and save a User with the given em... | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where email is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, email, password, **extra_fields): Cate and save a User with the given em... | 6fc70264f3eb848582b765247c9900dbfa4f0693 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Cate and save a User with the given email and password."""
<|body_0|>
def create_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomUserManager:
"""Custom user model manager where email is the unique identifiers for authentication instead of usernames."""
def create_user(self, email, password, **extra_fields):
"""Cate and save a User with the given email and password."""
if not email:
raise ValueErro... | the_stack_v2_python_sparse | backend/models.py | sorinburghiu2323/Conffiliate | train | 2 |
6eda2f8fd265f2ddc4a318ae10980feba688cc61 | [
"self._toc_node = node\nself._toc_limit = limit\nself._toc_level = level",
"if name.startswith('_toc_'):\n return object.__getattribute__(self, name)\nif name in ['tableofcontents', 'fulltableofcontents']:\n if self._toc_level < self._toc_limit:\n return [type(self)(x._toc_node, self._toc_limit, self... | <|body_start_0|>
self._toc_node = node
self._toc_limit = limit
self._toc_level = level
<|end_body_0|>
<|body_start_1|>
if name.startswith('_toc_'):
return object.__getattribute__(self, name)
if name in ['tableofcontents', 'fulltableofcontents']:
if self._... | Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more table of contents entries are returned. | TableOfContents | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more tab... | stack_v2_sparse_classes_36k_train_028643 | 10,872 | permissive | [
{
"docstring": "Instantiate a table of contents object Arguments: node -- the node to retrieve the table of contents from limit -- the number of levels to display level -- the current level",
"name": "__init__",
"signature": "def __init__(self, node, limit, level=1)"
},
{
"docstring": "Proxy all... | 2 | null | Implement the Python class `TableOfContents` described below.
Class description:
Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the de... | Implement the Python class `TableOfContents` described below.
Class description:
Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the de... | a882a62b81e6ae7b8c9454ae2b222ef5c2c14bb1 | <|skeleton|>
class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more tab... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more table of content... | the_stack_v2_python_sparse | plasTeX/Base/LaTeX/Sectioning.py | plastex/plastex | train | 129 |
bb4ed7ecc38c0ddad08851cd79753922faff89e4 | [
"assert input.size() == target.size()\nloss = (target - input).pow(2).mean()\nreturn loss",
"assert input.size() == target.size()\nN = input.numel()\ngrad = input - target\nassert grad.size() == input.size()\nreturn 2 / N * grad"
] | <|body_start_0|>
assert input.size() == target.size()
loss = (target - input).pow(2).mean()
return loss
<|end_body_0|>
<|body_start_1|>
assert input.size() == target.size()
N = input.numel()
grad = input - target
assert grad.size() == input.size()
return ... | Class representing mean square error loss. | LossMSE | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LossMSE:
"""Class representing mean square error loss."""
def forward(self, input, target):
"""Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- tensor of size (N, D) Returns: loss -- mse loss between in... | stack_v2_sparse_classes_36k_train_028644 | 2,642 | permissive | [
{
"docstring": "Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- tensor of size (N, D) Returns: loss -- mse loss between input and target",
"name": "forward",
"signature": "def forward(self, input, target)"
},
{
"d... | 2 | stack_v2_sparse_classes_30k_train_009509 | Implement the Python class `LossMSE` described below.
Class description:
Class representing mean square error loss.
Method signatures and docstrings:
- def forward(self, input, target): Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- t... | Implement the Python class `LossMSE` described below.
Class description:
Class representing mean square error loss.
Method signatures and docstrings:
- def forward(self, input, target): Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- t... | 056b1be878b77c5a7dd5cff8d29ecb390be8b5de | <|skeleton|>
class LossMSE:
"""Class representing mean square error loss."""
def forward(self, input, target):
"""Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- tensor of size (N, D) Returns: loss -- mse loss between in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LossMSE:
"""Class representing mean square error loss."""
def forward(self, input, target):
"""Computes the mean square error loss between the input tensor and the target tensor. Args: input -- tensor of size (N, D) target -- tensor of size (N, D) Returns: loss -- mse loss between input and targe... | the_stack_v2_python_sparse | Proj2/modules/Losses.py | jouvemax/DeepLearning | train | 0 |
1c087679dc934be42a06dfa335cf6029f0609ea2 | [
"self.cluster_info = cluster_info\nself.is_top_level = is_top_level\nself.license_types = license_types\nself.name = name\nself.mtype = mtype\nself.uuid = uuid\nself.version_tuple = version_tuple\nself.volume_info = volume_info\nself.vserver_info = vserver_info",
"if dictionary is None:\n return None\ncluster_... | <|body_start_0|>
self.cluster_info = cluster_info
self.is_top_level = is_top_level
self.license_types = license_types
self.name = name
self.mtype = mtype
self.uuid = uuid
self.version_tuple = version_tuple
self.volume_info = volume_info
self.vserve... | Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp Object of type kCluster. is_top_level (bool): Specifies if this Object is a top level Obj... | NetappProtectionSource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetappProtectionSource:
"""Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp Object of type kCluster. is_top_level (... | stack_v2_sparse_classes_36k_train_028645 | 5,023 | permissive | [
{
"docstring": "Constructor for the NetappProtectionSource class",
"name": "__init__",
"signature": "def __init__(self, cluster_info=None, is_top_level=None, license_types=None, name=None, mtype=None, uuid=None, version_tuple=None, volume_info=None, vserver_info=None)"
},
{
"docstring": "Creates... | 2 | null | Implement the Python class `NetappProtectionSource` described below.
Class description:
Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp ... | Implement the Python class `NetappProtectionSource` described below.
Class description:
Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class NetappProtectionSource:
"""Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp Object of type kCluster. is_top_level (... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NetappProtectionSource:
"""Implementation of the 'NetappProtectionSource' model. Specifies a Protection Source in a NetApp environment. Attributes: cluster_info (NetappClusterInfo): Specifies information about a NetApp cluster and is only valid for a NetApp Object of type kCluster. is_top_level (bool): Specif... | the_stack_v2_python_sparse | cohesity_management_sdk/models/netapp_protection_source.py | cohesity/management-sdk-python | train | 24 |
3a065c9d87311e23898e17edad7f1dc1226657f1 | [
"for attr_name, attr_value in attrs.items():\n if isinstance(attr_value, types.FunctionType):\n attrs[attr_name] = cls.deco(attr_value)\nreturn super(LoggerMeta, cls).__new__(cls, name, bases, attrs)",
"@wraps(func)\ndef wrapper(*args, **kwargs):\n \"\"\"Wrapper function that parses the calling funct... | <|body_start_0|>
for attr_name, attr_value in attrs.items():
if isinstance(attr_value, types.FunctionType):
attrs[attr_name] = cls.deco(attr_value)
return super(LoggerMeta, cls).__new__(cls, name, bases, attrs)
<|end_body_0|>
<|body_start_1|>
@wraps(func)
def... | LoggerMeta | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoggerMeta:
def __new__(cls, name, bases, attrs):
"""Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be instantiated(LoggerMeta) :type cls: Class :param name: name of the new Class instantiated :type name: ... | stack_v2_sparse_classes_36k_train_028646 | 11,023 | permissive | [
{
"docstring": "Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be instantiated(LoggerMeta) :type cls: Class :param name: name of the new Class instantiated :type name: Class :param bases: Tuple of base parent classes :type bases:... | 2 | null | Implement the Python class `LoggerMeta` described below.
Class description:
Implement the LoggerMeta class.
Method signatures and docstrings:
- def __new__(cls, name, bases, attrs): Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be ins... | Implement the Python class `LoggerMeta` described below.
Class description:
Implement the LoggerMeta class.
Method signatures and docstrings:
- def __new__(cls, name, bases, attrs): Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be ins... | 100521fde1fb67536682cafecc2f91a6e2e8a6f8 | <|skeleton|>
class LoggerMeta:
def __new__(cls, name, bases, attrs):
"""Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be instantiated(LoggerMeta) :type cls: Class :param name: name of the new Class instantiated :type name: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LoggerMeta:
def __new__(cls, name, bases, attrs):
"""Magic method to create instance object reference. Using this method you can customize the instance creation. :param cls: Class to be instantiated(LoggerMeta) :type cls: Class :param name: name of the new Class instantiated :type name: Class :param b... | the_stack_v2_python_sparse | boardfarm/lib/bft_logging.py | mattsm/boardfarm | train | 45 | |
7fef7122ed837c879ffcc096445fe5236ae5c5d6 | [
"self.url = url\nself.site = site\nself.keyword = keyword\nself.view = view",
"info('%s -> start search keyword %s data......' % (self.site, self.keyword))\nresponse = requests.get(self.url % self.keyword, headers=self.headers)\nresponse.encoding = 'UTF-8'\ndebug('%s -> send request URL: ' % response.url)\ndebug(... | <|body_start_0|>
self.url = url
self.site = site
self.keyword = keyword
self.view = view
<|end_body_0|>
<|body_start_1|>
info('%s -> start search keyword %s data......' % (self.site, self.keyword))
response = requests.get(self.url % self.keyword, headers=self.headers)
... | 搜索器父类 | TorrentSearcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TorrentSearcher:
"""搜索器父类"""
def __init__(self, site, url, keyword, view='TEXT'):
"""初始化方法，完成必要参数收集初始化"""
<|body_0|>
def search(self):
"""搜索方法，完成搜索请求"""
<|body_1|>
def parser(self, content):
"""转换方法，完成搜索结果转换统一标准 将结果提取到数据数据集合列表：[{title, magnet... | stack_v2_sparse_classes_36k_train_028647 | 9,557 | no_license | [
{
"docstring": "初始化方法，完成必要参数收集初始化",
"name": "__init__",
"signature": "def __init__(self, site, url, keyword, view='TEXT')"
},
{
"docstring": "搜索方法，完成搜索请求",
"name": "search",
"signature": "def search(self)"
},
{
"docstring": "转换方法，完成搜索结果转换统一标准 将结果提取到数据数据集合列表：[{title, magnet, size,... | 6 | null | Implement the Python class `TorrentSearcher` described below.
Class description:
搜索器父类
Method signatures and docstrings:
- def __init__(self, site, url, keyword, view='TEXT'): 初始化方法，完成必要参数收集初始化
- def search(self): 搜索方法，完成搜索请求
- def parser(self, content): 转换方法，完成搜索结果转换统一标准 将结果提取到数据数据集合列表：[{title, magnet, size, date}]
... | Implement the Python class `TorrentSearcher` described below.
Class description:
搜索器父类
Method signatures and docstrings:
- def __init__(self, site, url, keyword, view='TEXT'): 初始化方法，完成必要参数收集初始化
- def search(self): 搜索方法，完成搜索请求
- def parser(self, content): 转换方法，完成搜索结果转换统一标准 将结果提取到数据数据集合列表：[{title, magnet, size, date}]
... | 1fe2960a710dec60ab640370eee0d60c8222523e | <|skeleton|>
class TorrentSearcher:
"""搜索器父类"""
def __init__(self, site, url, keyword, view='TEXT'):
"""初始化方法，完成必要参数收集初始化"""
<|body_0|>
def search(self):
"""搜索方法，完成搜索请求"""
<|body_1|>
def parser(self, content):
"""转换方法，完成搜索结果转换统一标准 将结果提取到数据数据集合列表：[{title, magnet... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TorrentSearcher:
"""搜索器父类"""
def __init__(self, site, url, keyword, view='TEXT'):
"""初始化方法，完成必要参数收集初始化"""
self.url = url
self.site = site
self.keyword = keyword
self.view = view
def search(self):
"""搜索方法，完成搜索请求"""
info('%s -> start search keywo... | the_stack_v2_python_sparse | app_mini_tools/magnet-searcher/torrent-search.py | hooj0/python-examples | train | 1 |
1be590a2591b413cd2518e80d23f5480055fb0e7 | [
"context = super().get_context(request, *args, **kwargs)\nevent_page = EventPage.objects.live().public()\nprint('event_page =====> ', event_page)\ncontext['events'] = event_page\nreturn context",
"today = timezone.localtime(timezone.now()).date()\nevents_past = EventPage.objects.all().filter(end__lt=today)\nfor e... | <|body_start_0|>
context = super().get_context(request, *args, **kwargs)
event_page = EventPage.objects.live().public()
print('event_page =====> ', event_page)
context['events'] = event_page
return context
<|end_body_0|>
<|body_start_1|>
today = timezone.localtime(timezo... | Events page class. | EventsPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventsPage:
"""Events page class."""
def get_context(self, request, *args, **kwargs):
"""Adding custom stuff to our context."""
<|body_0|>
def send_data_to_resources_page():
"""copy the data found in the events table and the sends in the resource tables"""
... | stack_v2_sparse_classes_36k_train_028648 | 5,508 | no_license | [
{
"docstring": "Adding custom stuff to our context.",
"name": "get_context",
"signature": "def get_context(self, request, *args, **kwargs)"
},
{
"docstring": "copy the data found in the events table and the sends in the resource tables",
"name": "send_data_to_resources_page",
"signature"... | 3 | null | Implement the Python class `EventsPage` described below.
Class description:
Events page class.
Method signatures and docstrings:
- def get_context(self, request, *args, **kwargs): Adding custom stuff to our context.
- def send_data_to_resources_page(): copy the data found in the events table and the sends in the reso... | Implement the Python class `EventsPage` described below.
Class description:
Events page class.
Method signatures and docstrings:
- def get_context(self, request, *args, **kwargs): Adding custom stuff to our context.
- def send_data_to_resources_page(): copy the data found in the events table and the sends in the reso... | 08fae9c919b6376239c150697dc9719520c06b1c | <|skeleton|>
class EventsPage:
"""Events page class."""
def get_context(self, request, *args, **kwargs):
"""Adding custom stuff to our context."""
<|body_0|>
def send_data_to_resources_page():
"""copy the data found in the events table and the sends in the resource tables"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EventsPage:
"""Events page class."""
def get_context(self, request, *args, **kwargs):
"""Adding custom stuff to our context."""
context = super().get_context(request, *args, **kwargs)
event_page = EventPage.objects.live().public()
print('event_page =====> ', event_page)
... | the_stack_v2_python_sparse | events/models.py | youpiyoful/pythonclassmates | train | 0 |
73ca4a2b12aa08cca8fd79dbc1c793caf754d412 | [
"request = Request(request)\nresponse = RestResponse()\nuser_repository = UserRepository()\nrequest_serializer_manager = SerializerManager(GetUserSerializer)\nresponse_serializer_manager = SerializerManager(UserSerializer)\nuser_finder_controller = UserFinderController(request, response, user_repository, request_se... | <|body_start_0|>
request = Request(request)
response = RestResponse()
user_repository = UserRepository()
request_serializer_manager = SerializerManager(GetUserSerializer)
response_serializer_manager = SerializerManager(UserSerializer)
user_finder_controller = UserFinderCo... | User Api | UserApi | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserApi:
"""User Api"""
def get(self, request, _id: str=None):
"""Get User @param request: @type request: @param _id: @type _id: @return: @rtype:"""
<|body_0|>
def post(self, request, _id: str=None):
"""Post User @param request: request @type request: response @p... | stack_v2_sparse_classes_36k_train_028649 | 4,604 | permissive | [
{
"docstring": "Get User @param request: @type request: @param _id: @type _id: @return: @rtype:",
"name": "get",
"signature": "def get(self, request, _id: str=None)"
},
{
"docstring": "Post User @param request: request @type request: response @param _id: user id @type _id: int @return: post resp... | 4 | stack_v2_sparse_classes_30k_train_005910 | Implement the Python class `UserApi` described below.
Class description:
User Api
Method signatures and docstrings:
- def get(self, request, _id: str=None): Get User @param request: @type request: @param _id: @type _id: @return: @rtype:
- def post(self, request, _id: str=None): Post User @param request: request @type... | Implement the Python class `UserApi` described below.
Class description:
User Api
Method signatures and docstrings:
- def get(self, request, _id: str=None): Get User @param request: @type request: @param _id: @type _id: @return: @rtype:
- def post(self, request, _id: str=None): Post User @param request: request @type... | 8055927cb460bc40f3a2651c01a9d1da696177e8 | <|skeleton|>
class UserApi:
"""User Api"""
def get(self, request, _id: str=None):
"""Get User @param request: @type request: @param _id: @type _id: @return: @rtype:"""
<|body_0|>
def post(self, request, _id: str=None):
"""Post User @param request: request @type request: response @p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserApi:
"""User Api"""
def get(self, request, _id: str=None):
"""Get User @param request: @type request: @param _id: @type _id: @return: @rtype:"""
request = Request(request)
response = RestResponse()
user_repository = UserRepository()
request_serializer_manager =... | the_stack_v2_python_sparse | had/app/views/api/v1/users/user_api.py | eduardolujan/hexagonal_architecture_django | train | 5 |
3d727342e706e426f0caaedef1cae0e7363776b9 | [
"self._pid = PID(kp, ki, kd, **kwargs)\nBetterColorSensor.__init__(self, port_cs)\nself.grey_soll = (127.5 - black) / (white - black) * 255\nself.avgsize_c = avgsize_c\nself.black = black\nself.white = white",
"if self.avgsize_c > 1:\n grey = self.grey_avg\nelse:\n grey = self.grey\ngrey = (grey - self.blac... | <|body_start_0|>
self._pid = PID(kp, ki, kd, **kwargs)
BetterColorSensor.__init__(self, port_cs)
self.grey_soll = (127.5 - black) / (white - black) * 255
self.avgsize_c = avgsize_c
self.black = black
self.white = white
<|end_body_0|>
<|body_start_1|>
if self.avgs... | Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt | LineKeep | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LineKeep:
"""Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt"""
def __init__(self, port_cs, kp, ki=0, kd=0, avgsize_c=1, white=255, bl... | stack_v2_sparse_classes_36k_train_028650 | 8,924 | no_license | [
{
"docstring": "INIT-PARAM: kp, ki, kd:Konstanten des PID-Reglers port_cs:Port des FarbSensors avgsize_c: zu mittelnde Farbwerte( koennte sinnvoll sein wg Schwankungen, default = 1) white: Farbe des Untergrunds(default:255) black: Farbe der Linie(default:0)",
"name": "__init__",
"signature": "def __init... | 3 | stack_v2_sparse_classes_30k_train_013707 | Implement the Python class `LineKeep` described below.
Class description:
Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt
Method signatures and docstrings:
- de... | Implement the Python class `LineKeep` described below.
Class description:
Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt
Method signatures and docstrings:
- de... | a9a7160bf7fb3b528716ebabd4c16b4482d8d9cf | <|skeleton|>
class LineKeep:
"""Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt"""
def __init__(self, port_cs, kp, ki=0, kd=0, avgsize_c=1, white=255, bl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LineKeep:
"""Berechnet die noetige Aenderung der Geschwindigkeit(dv) um auf der Linie zu bleiben TODO:Um die PID-Parameter bei sich aendernden Bedingungen gleich zuhalten, wird der soll und ist-Wert auf 0...255 gemappt"""
def __init__(self, port_cs, kp, ki=0, kd=0, avgsize_c=1, white=255, black=0, **kwar... | the_stack_v2_python_sparse | node/ev3con/linienverfolgung/control.py | Fuzzyma/network-controlled-line-follower | train | 0 |
23e4b14a5f6f34cc9d5b2970f6740700684a6ec2 | [
"if axis < 0:\n axis += data.ndim\ndata = np.moveaxis(data, [axis], [0])\nif len(data) != len(arr_weights):\n raise ValueError('Weights shape does not match data')\ngrid_shape = data.shape[2:]\ngrid_points = np.prod(grid_shape, dtype=int)\nflattened_shape = [data.shape[0], data.shape[1], grid_points]\ndata = ... | <|body_start_0|>
if axis < 0:
axis += data.ndim
data = np.moveaxis(data, [axis], [0])
if len(data) != len(arr_weights):
raise ValueError('Weights shape does not match data')
grid_shape = data.shape[2:]
grid_points = np.prod(grid_shape, dtype=int)
f... | Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geographic point in the cube we take the percentile threshold's values across the percentile dimensi... | PercentileBlendingAggregator | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PercentileBlendingAggregator:
"""Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geographic point in the cube we take the per... | stack_v2_sparse_classes_36k_train_028651 | 30,444 | permissive | [
{
"docstring": "Function to blend percentile data over a given dimension. The input percentile data must be provided with the blend coord as the first axis and the percentile coord as the second (these are re-ordered after aggregator initialisation at the start of this function). Weights data must be provided w... | 2 | stack_v2_sparse_classes_30k_train_006205 | Implement the Python class `PercentileBlendingAggregator` described below.
Class description:
Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geogr... | Implement the Python class `PercentileBlendingAggregator` described below.
Class description:
Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geogr... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class PercentileBlendingAggregator:
"""Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geographic point in the cube we take the per... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PercentileBlendingAggregator:
"""Class for the percentile blending aggregator This class implements the method described by Combining Probabilities by Caroline Jones, 2017. This method implements blending in probability space. The steps are: 1. At each geographic point in the cube we take the percentile thres... | the_stack_v2_python_sparse | improver/blending/weighted_blend.py | metoppv/improver | train | 101 |
15ed22f7fffd066270fb8d0534cc859287a9c769 | [
"super().__init__(x, y)\nself.fill_color = QtCore.Qt.red\nself.line_color = QtCore.Qt.white\nself.dx = random.randint(2, 5)",
"self.x += self.dx\nif self.x > w + Bird.SIZE * 8:\n self.x = -Bird.SIZE\n self.y = random.choice([-1, 1]) * random.randint(Bird.SIZE, Bird.SIZE * 3) + self.y"
] | <|body_start_0|>
super().__init__(x, y)
self.fill_color = QtCore.Qt.red
self.line_color = QtCore.Qt.white
self.dx = random.randint(2, 5)
<|end_body_0|>
<|body_start_1|>
self.x += self.dx
if self.x > w + Bird.SIZE * 8:
self.x = -Bird.SIZE
self.y = ... | Class to represent a Cardinal. | Cardinal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cardinal:
"""Class to represent a Cardinal."""
def __init__(self, x, y):
"""Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero."""
<|body_0|>
def move(self, w, h):
... | stack_v2_sparse_classes_36k_train_028652 | 13,878 | no_license | [
{
"docstring": "Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero.",
"name": "__init__",
"signature": "def __init__(self, x, y)"
},
{
"docstring": "A Cardinal flies straight across the aviary, lef... | 2 | stack_v2_sparse_classes_30k_val_000501 | Implement the Python class `Cardinal` described below.
Class description:
Class to represent a Cardinal.
Method signatures and docstrings:
- def __init__(self, x, y): Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero.
... | Implement the Python class `Cardinal` described below.
Class description:
Class to represent a Cardinal.
Method signatures and docstrings:
- def __init__(self, x, y): Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero.
... | 0e3470085083012f893adb22aa46d46039016965 | <|skeleton|>
class Cardinal:
"""Class to represent a Cardinal."""
def __init__(self, x, y):
"""Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero."""
<|body_0|>
def move(self, w, h):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cardinal:
"""Class to represent a Cardinal."""
def __init__(self, x, y):
"""Create a new Cardinal with the given x and y values. :param int x: The x-coordinate; default is zero. :param int y: The y-coordinate; default is zero."""
super().__init__(x, y)
self.fill_color = QtCore.Qt.... | the_stack_v2_python_sparse | CS_210 (Introduction to Programming)/Labs/Lab34_AviaryApp.py | JacobOrner/USAFA | train | 0 |
36abf8c1e5baa99cc40dfce7f15fd15b0a60104f | [
"super(SetSegmentationRosParam, self).__init__(outcomes=['done'])\nself.ValueTable = ValueTableSegmentation\nself.ValueObject = ValueObjectSegmentation",
"if self.ValueTable:\n rospy.set_param('/process_table_segmentation', self.ValueTable)\nelif rospy.has_param('/process_table_segmentation'):\n rospy.delet... | <|body_start_0|>
super(SetSegmentationRosParam, self).__init__(outcomes=['done'])
self.ValueTable = ValueTableSegmentation
self.ValueObject = ValueObjectSegmentation
<|end_body_0|>
<|body_start_1|>
if self.ValueTable:
rospy.set_param('/process_table_segmentation', self.Value... | Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. ># ValueObjectSegmentation object The rosparam to set for object segmentation. <= done The r... | SetSegmentationRosParam | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SetSegmentationRosParam:
"""Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. ># ValueObjectSegmentation object The ros... | stack_v2_sparse_classes_36k_train_028653 | 1,486 | permissive | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, ValueTableSegmentation, ValueObjectSegmentation)"
},
{
"docstring": "Execute this state",
"name": "execute",
"signature": "def execute(self, userdata)"
}
] | 2 | null | Implement the Python class `SetSegmentationRosParam` described below.
Class description:
Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. >#... | Implement the Python class `SetSegmentationRosParam` described below.
Class description:
Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. >#... | fcb55d274331915cd39d7d444546f17a39f85a44 | <|skeleton|>
class SetSegmentationRosParam:
"""Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. ># ValueObjectSegmentation object The ros... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SetSegmentationRosParam:
"""Set the Rosparams /process_table_segmentation and /process_object_segmentation to true or false to activate/desactivate the table/object segmentation. ># ValueTableSegmentation object The rosparam to set for table segmentation. ># ValueObjectSegmentation object The rosparam to set ... | the_stack_v2_python_sparse | sara_flexbe_states/src/sara_flexbe_states/SetSegmentationRosParam.py | WalkingMachine/sara_behaviors | train | 5 |
a747b26132a9985cb268768ca59fefae3861752c | [
"self.start = start\nself.end = end\nself.amount = amount",
"current_date = current_time().date()\nif self.start == current_date:\n if self.end:\n return f\"jusqu'au {format_date(self.end)}: {format_currency(self.amount)}\"\n return ''\nif self.end:\n return f'{format_date_range(self.start, self.e... | <|body_start_0|>
self.start = start
self.end = end
self.amount = amount
<|end_body_0|>
<|body_start_1|>
current_date = current_time().date()
if self.start == current_date:
if self.end:
return f"jusqu'au {format_date(self.end)}: {format_currency(self.a... | Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose | PriceDateInterval | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PriceDateInterval:
"""Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose"""
def __init__(self, start: datetime.date, end: datetime.date, amount: decimal.Decimal=None):
"""Constructor :param date: st... | stack_v2_sparse_classes_36k_train_028654 | 8,739 | no_license | [
{
"docstring": "Constructor :param date: start date of the interval (inclusive) :param end: End date of the interval (inclusive) :param amount: Charged amount for the duration of the interval",
"name": "__init__",
"signature": "def __init__(self, start: datetime.date, end: datetime.date, amount: decimal... | 2 | stack_v2_sparse_classes_30k_train_009272 | Implement the Python class `PriceDateInterval` described below.
Class description:
Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose
Method signatures and docstrings:
- def __init__(self, start: datetime.date, end: datetime.date, a... | Implement the Python class `PriceDateInterval` described below.
Class description:
Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose
Method signatures and docstrings:
- def __init__(self, start: datetime.date, end: datetime.date, a... | 1ae05ae9029a28fd0656c06a2092f67a87a93dcd | <|skeleton|>
class PriceDateInterval:
"""Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose"""
def __init__(self, start: datetime.date, end: datetime.date, amount: decimal.Decimal=None):
"""Constructor :param date: st... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PriceDateInterval:
"""Class describing a date interval for which a charged amount applies. Used to build the timeline of future prices for informative purpose"""
def __init__(self, start: datetime.date, end: datetime.date, amount: decimal.Decimal=None):
"""Constructor :param date: start date of t... | the_stack_v2_python_sparse | collectives/utils/payment.py | Club-Alpin-Annecy/collectives | train | 12 |
c31addfe8449ea7885b74c326ea777b979dc6e60 | [
"self.proj_dir = project_directory\nif not exists(self.proj_dir):\n raise TypeError(f\"Project directory '{self.proj_dir}' does not exist.\")\nif not exists(self.proj_dir + '/structure.pickle'):\n raise TypeError(f'Project directory `{self.proj_dir}` does not contain `structure.pickle`.')\nwith open(self.proj... | <|body_start_0|>
self.proj_dir = project_directory
if not exists(self.proj_dir):
raise TypeError(f"Project directory '{self.proj_dir}' does not exist.")
if not exists(self.proj_dir + '/structure.pickle'):
raise TypeError(f'Project directory `{self.proj_dir}` does not cont... | RestoreIntermediatePass | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestoreIntermediatePass:
def __init__(self, project_directory: str, load_blocks: bool=True):
"""Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path to the checkpoint block files. This directory must also contain a valid "structure.pickle" file. load_blocks (b... | stack_v2_sparse_classes_36k_train_028655 | 7,234 | permissive | [
{
"docstring": "Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path to the checkpoint block files. This directory must also contain a valid \"structure.pickle\" file. load_blocks (bool): If True, blocks in the project directory will be loaded to the block_list during the constructor... | 3 | null | Implement the Python class `RestoreIntermediatePass` described below.
Class description:
Implement the RestoreIntermediatePass class.
Method signatures and docstrings:
- def __init__(self, project_directory: str, load_blocks: bool=True): Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path... | Implement the Python class `RestoreIntermediatePass` described below.
Class description:
Implement the RestoreIntermediatePass class.
Method signatures and docstrings:
- def __init__(self, project_directory: str, load_blocks: bool=True): Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path... | c89112d15072e8ffffb68cf1757b184e2aeb3dc8 | <|skeleton|>
class RestoreIntermediatePass:
def __init__(self, project_directory: str, load_blocks: bool=True):
"""Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path to the checkpoint block files. This directory must also contain a valid "structure.pickle" file. load_blocks (b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RestoreIntermediatePass:
def __init__(self, project_directory: str, load_blocks: bool=True):
"""Constructor for the RestoreIntermediatePass. Args: project_directory (str): Path to the checkpoint block files. This directory must also contain a valid "structure.pickle" file. load_blocks (bool): If True,... | the_stack_v2_python_sparse | bqskit/passes/io/intermediate.py | BQSKit/bqskit | train | 54 | |
749fe9e8944ad9b1c66f40e96fe36d46dabec0d2 | [
"token = b2a_base64(urandom(blength))[:-1]\nif isinstance(token, str):\n return token.translate(_smap)[:blength]\nreturn token.decode('utf-8').translate(_smap)[:blength]",
"h = hashlib.sha256()\npasswordString = password + salt\nh.update(bytes(passwordString, encoding='utf-8'))\nreturn h.hexdigest()"
] | <|body_start_0|>
token = b2a_base64(urandom(blength))[:-1]
if isinstance(token, str):
return token.translate(_smap)[:blength]
return token.decode('utf-8').translate(_smap)[:blength]
<|end_body_0|>
<|body_start_1|>
h = hashlib.sha256()
passwordString = password + salt... | EncipherLibrary | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncipherLibrary:
def gen_token(cls, blength=36):
""":param blength: :return:"""
<|body_0|>
def encrypt(cls, password, salt):
"""加密密码 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
token = b2a_base64(urandom(blength))[:-1]
if isinst... | stack_v2_sparse_classes_36k_train_028656 | 1,160 | permissive | [
{
"docstring": ":param blength: :return:",
"name": "gen_token",
"signature": "def gen_token(cls, blength=36)"
},
{
"docstring": "加密密码 :return:",
"name": "encrypt",
"signature": "def encrypt(cls, password, salt)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007063 | Implement the Python class `EncipherLibrary` described below.
Class description:
Implement the EncipherLibrary class.
Method signatures and docstrings:
- def gen_token(cls, blength=36): :param blength: :return:
- def encrypt(cls, password, salt): 加密密码 :return: | Implement the Python class `EncipherLibrary` described below.
Class description:
Implement the EncipherLibrary class.
Method signatures and docstrings:
- def gen_token(cls, blength=36): :param blength: :return:
- def encrypt(cls, password, salt): 加密密码 :return:
<|skeleton|>
class EncipherLibrary:
def gen_token(c... | 148139eeca0f3cd8a8c2196ae2a6f8cea519d9b5 | <|skeleton|>
class EncipherLibrary:
def gen_token(cls, blength=36):
""":param blength: :return:"""
<|body_0|>
def encrypt(cls, password, salt):
"""加密密码 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EncipherLibrary:
def gen_token(cls, blength=36):
""":param blength: :return:"""
token = b2a_base64(urandom(blength))[:-1]
if isinstance(token, str):
return token.translate(_smap)[:blength]
return token.decode('utf-8').translate(_smap)[:blength]
def encrypt(cls,... | the_stack_v2_python_sparse | torstack/library/encipher.py | longniao/torstack | train | 8 | |
2806fa7460376790bad5b7f88f1026b4a91dff9f | [
"self.__base_size = base_size\nself.__scale = np.array(size) / np.array(self.__base_size)\nself.__module = cv2.createBackgroundSubtractorMOG2(detectShadows=True)\nself.__filter_size = np.array(filter_size)",
"frame = cv2.resize(frame, self.__base_size)\nif frame.shape[-1] != 1:\n frame = cv2.cvtColor(frame, cv... | <|body_start_0|>
self.__base_size = base_size
self.__scale = np.array(size) / np.array(self.__base_size)
self.__module = cv2.createBackgroundSubtractorMOG2(detectShadows=True)
self.__filter_size = np.array(filter_size)
<|end_body_0|>
<|body_start_1|>
frame = cv2.resize(frame, se... | GrabObject | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GrabObject:
def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20)):
"""size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大小"""
<|body_0|>
def grab(self, frame: np.ndarray):
"""抓取动态物体 frame: 图片帧 return... | stack_v2_sparse_classes_36k_train_028657 | 1,954 | no_license | [
{
"docstring": "size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大小",
"name": "__init__",
"signature": "def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20))"
},
{
"docstring": "抓取动态物体 frame: 图片帧 return: [((x, y), (x2, y2)), ..... | 2 | null | Implement the Python class `GrabObject` described below.
Class description:
Implement the GrabObject class.
Method signatures and docstrings:
- def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20)): size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大... | Implement the Python class `GrabObject` described below.
Class description:
Implement the GrabObject class.
Method signatures and docstrings:
- def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20)): size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大... | bb598c7606de1492c5ccbf0a338e8914d25d405c | <|skeleton|>
class GrabObject:
def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20)):
"""size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大小"""
<|body_0|>
def grab(self, frame: np.ndarray):
"""抓取动态物体 frame: 图片帧 return... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GrabObject:
def __init__(self, size: (int, int), base_size=(400, 400), filter_size=(20, 20)):
"""size: 图片的实际大小 base_size: 在进行背景建模时，图片将被缩放到该大小 filter_size: 小于该大小的物体将被忽略，该大小是居于base_size，而不是原大小"""
self.__base_size = base_size
self.__scale = np.array(size) / np.array(self.__base_size)
... | the_stack_v2_python_sparse | farAwaySFE/seniorChen/SmokeDetector/SFE/GrabObject.py | bandy101/my_git_respository | train | 0 | |
1e3d0238448e0867bd40ec49bfd8b443dbbcbbf5 | [
"super().__init__()\nself.name = bucket\nself.storage = storage_client if storage_client != None else storage.Client()\nself.bucket = self.storage.get_bucket(self.name)",
"blob = self.bucket.blob(name)\nblob.upload_from_string(file)\nreturn True",
"try:\n blob = self.bucket.get_blob(name)\n file_obj = blo... | <|body_start_0|>
super().__init__()
self.name = bucket
self.storage = storage_client if storage_client != None else storage.Client()
self.bucket = self.storage.get_bucket(self.name)
<|end_body_0|>
<|body_start_1|>
blob = self.bucket.blob(name)
blob.upload_from_string(fil... | Storage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Storage:
def __init__(self, bucket, storage_client=None) -> None:
"""The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the bucket storage (google.cloud.storage.client): A storage client object Returns: None"""
<|... | stack_v2_sparse_classes_36k_train_028658 | 1,966 | no_license | [
{
"docstring": "The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the bucket storage (google.cloud.storage.client): A storage client object Returns: None",
"name": "__init__",
"signature": "def __init__(self, bucket, storage_client=None... | 4 | stack_v2_sparse_classes_30k_train_006770 | Implement the Python class `Storage` described below.
Class description:
Implement the Storage class.
Method signatures and docstrings:
- def __init__(self, bucket, storage_client=None) -> None: The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the b... | Implement the Python class `Storage` described below.
Class description:
Implement the Storage class.
Method signatures and docstrings:
- def __init__(self, bucket, storage_client=None) -> None: The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the b... | 7e1b37dc33c1957fc482eaa52e6fd2decb9872eb | <|skeleton|>
class Storage:
def __init__(self, bucket, storage_client=None) -> None:
"""The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the bucket storage (google.cloud.storage.client): A storage client object Returns: None"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Storage:
def __init__(self, bucket, storage_client=None) -> None:
"""The constructor for the Storage class. Used to instantiate a Bucket reference object. Args: bucket (str): the name of the bucket storage (google.cloud.storage.client): A storage client object Returns: None"""
super().__init__... | the_stack_v2_python_sparse | biit_server/storage.py | biit-407/biit-server | train | 1 | |
1359553cc3287a820189fbf4d8e567261500f703 | [
"self.uid = uid\nself.first_army = []\nself.second_army = []\nself.result = []\nself.is_success = 0",
"for i, card in enumerate(first_army):\n solider = Soldier(self, card)\n solider.position = '1_' + str(i)\n self.first_army.append(solider)",
"for i, card in enumerate(second_army):\n solider = Sold... | <|body_start_0|>
self.uid = uid
self.first_army = []
self.second_army = []
self.result = []
self.is_success = 0
<|end_body_0|>
<|body_start_1|>
for i, card in enumerate(first_army):
solider = Soldier(self, card)
solider.position = '1_' + str(i)
... | 战斗 | Dungeon | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dungeon:
"""战斗"""
def __init__(self, uid):
"""初始化战场数据"""
<|body_0|>
def load_first_army(self, first_army):
"""加载第一军队"""
<|body_1|>
def load_second_army(self, second_army):
"""加载第二军队"""
<|body_2|>
def is_dungeon_finish(self):
... | stack_v2_sparse_classes_36k_train_028659 | 1,875 | permissive | [
{
"docstring": "初始化战场数据",
"name": "__init__",
"signature": "def __init__(self, uid)"
},
{
"docstring": "加载第一军队",
"name": "load_first_army",
"signature": "def load_first_army(self, first_army)"
},
{
"docstring": "加载第二军队",
"name": "load_second_army",
"signature": "def load_... | 5 | null | Implement the Python class `Dungeon` described below.
Class description:
战斗
Method signatures and docstrings:
- def __init__(self, uid): 初始化战场数据
- def load_first_army(self, first_army): 加载第一军队
- def load_second_army(self, second_army): 加载第二军队
- def is_dungeon_finish(self): 判断战斗是否结束
- def run(self): 开始战斗 | Implement the Python class `Dungeon` described below.
Class description:
战斗
Method signatures and docstrings:
- def __init__(self, uid): 初始化战场数据
- def load_first_army(self, first_army): 加载第一军队
- def load_second_army(self, second_army): 加载第二军队
- def is_dungeon_finish(self): 判断战斗是否结束
- def run(self): 开始战斗
<|skeleton|>... | aa0a3ed1a316d8afc9482f072f2aa57cffe9a10f | <|skeleton|>
class Dungeon:
"""战斗"""
def __init__(self, uid):
"""初始化战场数据"""
<|body_0|>
def load_first_army(self, first_army):
"""加载第一军队"""
<|body_1|>
def load_second_army(self, second_army):
"""加载第二军队"""
<|body_2|>
def is_dungeon_finish(self):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Dungeon:
"""战斗"""
def __init__(self, uid):
"""初始化战场数据"""
self.uid = uid
self.first_army = []
self.second_army = []
self.result = []
self.is_success = 0
def load_first_army(self, first_army):
"""加载第一军队"""
for i, card in enumerate(first_a... | the_stack_v2_python_sparse | apps/models/virtual/dungeon.py | leigeng2014/sango2 | train | 0 |
9d361efb99ae09a96378c046fc787a0acd038748 | [
"if not root:\n return '[]'\nres = []\nqueue = collections.deque()\nqueue.append(root)\nwhile queue:\n node = queue.popleft()\n if node:\n queue.append(node.left)\n queue.append(node.right)\n res.append(node.val)\n else:\n res.append(None)\nwhile res[-1] is None:\n res.pop... | <|body_start_0|>
if not root:
return '[]'
res = []
queue = collections.deque()
queue.append(root)
while queue:
node = queue.popleft()
if node:
queue.append(node.left)
queue.append(node.right)
res.... | 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_028660 | 3,120 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | a5b8dec9dafa970a9596a06e9e48b8d3812e1460 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return '[]'
res = []
queue = collections.deque()
queue.append(root)
while queue:
node = queue.popleft()
i... | the_stack_v2_python_sparse | 专题/二叉树/297 二叉树的序列化与反序列化/1.py | cookie-rabbit/LeetCode_practice | train | 1 | |
d125d1c00c803b863e27690c8a4a7fc7a124c533 | [
"self.fallback_user_id_mapping_info = fallback_user_id_mapping_info\nself.unix_root_sid = unix_root_sid\nself.user_id_mapping_info = user_id_mapping_info",
"if dictionary is None:\n return None\nfallback_user_id_mapping_info = cohesity_management_sdk.models.user_id_mapping.UserIdMapping.from_dictionary(diction... | <|body_start_0|>
self.fallback_user_id_mapping_info = fallback_user_id_mapping_info
self.unix_root_sid = unix_root_sid
self.user_id_mapping_info = user_id_mapping_info
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
fallback_user_id_mapping_info = ... | Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is used when an ID mapping for a user is not found via the above IdMappingInfo. On... | IdMappingInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdMappingInfo:
"""Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is used when an ID mapping for a user is ... | stack_v2_sparse_classes_36k_train_028661 | 2,803 | permissive | [
{
"docstring": "Constructor for the IdMappingInfo class",
"name": "__init__",
"signature": "def __init__(self, fallback_user_id_mapping_info=None, unix_root_sid=None, user_id_mapping_info=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary):... | 2 | null | Implement the Python class `IdMappingInfo` described below.
Class description:
Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is... | Implement the Python class `IdMappingInfo` described below.
Class description:
Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class IdMappingInfo:
"""Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is used when an ID mapping for a user is ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdMappingInfo:
"""Implementation of the 'IdMappingInfo' model. Specifies the params required to update the user id mapping info of an Active Directory. Attributes: fallback_user_id_mapping_info (UserIdMapping): Specifies the fallback id mapping info which is used when an ID mapping for a user is not found via... | the_stack_v2_python_sparse | cohesity_management_sdk/models/id_mapping_info.py | cohesity/management-sdk-python | train | 24 |
9f91fddd0a7c0241137975e43c5dbad92dd20ff3 | [
"from django.contrib.auth.password_validation import validate_password\nvalidate_password(attrs['password'])\nreturn super(SignupSerializer, self).validate(attrs)",
"user = super().create(validated_data)\nuser.set_password(validated_data['password'])\nuser.save()\nreturn user"
] | <|body_start_0|>
from django.contrib.auth.password_validation import validate_password
validate_password(attrs['password'])
return super(SignupSerializer, self).validate(attrs)
<|end_body_0|>
<|body_start_1|>
user = super().create(validated_data)
user.set_password(validated_data... | SignupSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignupSerializer:
def validate(self, attrs):
"""Validate password as per AUTH_PASSWORD_VALIDATORS in settings"""
<|body_0|>
def create(self, validated_data):
"""set_password is used to hash password in database"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_36k_train_028662 | 1,408 | no_license | [
{
"docstring": "Validate password as per AUTH_PASSWORD_VALIDATORS in settings",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "set_password is used to hash password in database",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012519 | Implement the Python class `SignupSerializer` described below.
Class description:
Implement the SignupSerializer class.
Method signatures and docstrings:
- def validate(self, attrs): Validate password as per AUTH_PASSWORD_VALIDATORS in settings
- def create(self, validated_data): set_password is used to hash password... | Implement the Python class `SignupSerializer` described below.
Class description:
Implement the SignupSerializer class.
Method signatures and docstrings:
- def validate(self, attrs): Validate password as per AUTH_PASSWORD_VALIDATORS in settings
- def create(self, validated_data): set_password is used to hash password... | 4d2ffcad58c9da5a79bfef63be7e2becda09b760 | <|skeleton|>
class SignupSerializer:
def validate(self, attrs):
"""Validate password as per AUTH_PASSWORD_VALIDATORS in settings"""
<|body_0|>
def create(self, validated_data):
"""set_password is used to hash password in database"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SignupSerializer:
def validate(self, attrs):
"""Validate password as per AUTH_PASSWORD_VALIDATORS in settings"""
from django.contrib.auth.password_validation import validate_password
validate_password(attrs['password'])
return super(SignupSerializer, self).validate(attrs)
... | the_stack_v2_python_sparse | apps/users/serializers/request_serializers.py | pnaoum/promos_api | train | 0 | |
682a1f34cc6491c2f5a6c4bd391a8d443ee3ea19 | [
"record_query = session.query(HelperInfo)\nif helper_uin:\n record_query = record_query.filter(HelperInfo.HelperUin == helper_uin)\nif status is not None:\n record_query = record_query.filter(HelperInfo.Status == status)\nif allocation is not None:\n record_query = record_query.filter(HelperInfo.Allocation... | <|body_start_0|>
record_query = session.query(HelperInfo)
if helper_uin:
record_query = record_query.filter(HelperInfo.HelperUin == helper_uin)
if status is not None:
record_query = record_query.filter(HelperInfo.Status == status)
if allocation is not None:
... | HelperInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HelperInfo:
def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None):
"""获取助手列表 :return:"""
<|body_0|>
def update_allocation_by_uin(cls, session, helper_uin, allocation=None):
"""更新助手分配状态 :return:"""
<|body_... | stack_v2_sparse_classes_36k_train_028663 | 4,037 | no_license | [
{
"docstring": "获取助手列表 :return:",
"name": "get_helper_info_list",
"signature": "def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None)"
},
{
"docstring": "更新助手分配状态 :return:",
"name": "update_allocation_by_uin",
"signature": "def updat... | 5 | null | Implement the Python class `HelperInfo` described below.
Class description:
Implement the HelperInfo class.
Method signatures and docstrings:
- def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None): 获取助手列表 :return:
- def update_allocation_by_uin(cls, session, hel... | Implement the Python class `HelperInfo` described below.
Class description:
Implement the HelperInfo class.
Method signatures and docstrings:
- def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None): 获取助手列表 :return:
- def update_allocation_by_uin(cls, session, hel... | 902e54bf143a0967dccd1b8884c3164317ff8568 | <|skeleton|>
class HelperInfo:
def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None):
"""获取助手列表 :return:"""
<|body_0|>
def update_allocation_by_uin(cls, session, helper_uin, allocation=None):
"""更新助手分配状态 :return:"""
<|body_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HelperInfo:
def get_helper_info_list(cls, session, helper_uin, page_index=1, page_size=10, status=None, allocation=None):
"""获取助手列表 :return:"""
record_query = session.query(HelperInfo)
if helper_uin:
record_query = record_query.filter(HelperInfo.HelperUin == helper_uin)
... | the_stack_v2_python_sparse | wxrobot/helperServer/weixin_helper/common/db_model/user_db/helper_info.py | immortalChensm/python-project | train | 0 | |
d88947e27fdd1a8c278236eb2b65749632dce0e3 | [
"box1 = '2x3x4'\nbox2 = '1x1x10'\nself.assertEquals(58, puzzle2.square_feet_for_box(box1))\nself.assertEquals(43, puzzle2.square_feet_for_box(box2))\nself.assertEquals(58 + 43, puzzle2.process_box_list([box1, box2]))",
"box1 = '2x3x4'\nbox2 = '1x1x10'\nself.assertEquals(34, puzzle2b.ribbon_required_for_box(box1))... | <|body_start_0|>
box1 = '2x3x4'
box2 = '1x1x10'
self.assertEquals(58, puzzle2.square_feet_for_box(box1))
self.assertEquals(43, puzzle2.square_feet_for_box(box2))
self.assertEquals(58 + 43, puzzle2.process_box_list([box1, box2]))
<|end_body_0|>
<|body_start_1|>
box1 = '2x... | Tests for puzzle 2. | TestPuzzle2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPuzzle2:
"""Tests for puzzle 2."""
def test_puzzle2(self):
"""Tests for puzzle 2."""
<|body_0|>
def test_puzzle2b(self):
"""Tests for puzzle 2b."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
box1 = '2x3x4'
box2 = '1x1x10'
s... | stack_v2_sparse_classes_36k_train_028664 | 839 | no_license | [
{
"docstring": "Tests for puzzle 2.",
"name": "test_puzzle2",
"signature": "def test_puzzle2(self)"
},
{
"docstring": "Tests for puzzle 2b.",
"name": "test_puzzle2b",
"signature": "def test_puzzle2b(self)"
}
] | 2 | null | Implement the Python class `TestPuzzle2` described below.
Class description:
Tests for puzzle 2.
Method signatures and docstrings:
- def test_puzzle2(self): Tests for puzzle 2.
- def test_puzzle2b(self): Tests for puzzle 2b. | Implement the Python class `TestPuzzle2` described below.
Class description:
Tests for puzzle 2.
Method signatures and docstrings:
- def test_puzzle2(self): Tests for puzzle 2.
- def test_puzzle2b(self): Tests for puzzle 2b.
<|skeleton|>
class TestPuzzle2:
"""Tests for puzzle 2."""
def test_puzzle2(self):
... | 99d1f68ddf92b989ff775c270d315eb8df4dbd55 | <|skeleton|>
class TestPuzzle2:
"""Tests for puzzle 2."""
def test_puzzle2(self):
"""Tests for puzzle 2."""
<|body_0|>
def test_puzzle2b(self):
"""Tests for puzzle 2b."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestPuzzle2:
"""Tests for puzzle 2."""
def test_puzzle2(self):
"""Tests for puzzle 2."""
box1 = '2x3x4'
box2 = '1x1x10'
self.assertEquals(58, puzzle2.square_feet_for_box(box1))
self.assertEquals(43, puzzle2.square_feet_for_box(box2))
self.assertEquals(58 + ... | the_stack_v2_python_sparse | puzzle2/python/test_puzzle2.py | jramaswami/Advent-Of-Code-2015 | train | 0 |
880c4bfa5a2c4678276d210901be43bf4da1ea96 | [
"monthly_params = {'position': 0, 'average_purchase_price': None, 'total_amount_purchase': 0, 'total_amount_sale': 0, 'total_units_purchase': 0, 'total_units_sale': 0, 'cgs': None, 'irrf': 0}\nfor operation in operations:\n operation_month = operation.date.strftime('%m/%Y')\n if operation_month == year_month ... | <|body_start_0|>
monthly_params = {'position': 0, 'average_purchase_price': None, 'total_amount_purchase': 0, 'total_amount_sale': 0, 'total_units_purchase': 0, 'total_units_sale': 0, 'cgs': None, 'irrf': 0}
for operation in operations:
operation_month = operation.date.strftime('%m/%Y')
... | To hander day_trade financial operation class | DayTradeCalculate | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DayTradeCalculate:
"""To hander day_trade financial operation class"""
def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: str) -> dict:
"""To calcule params of day_trade operations in a reference year_month, indexed by operat... | stack_v2_sparse_classes_36k_train_028665 | 3,720 | no_license | [
{
"docstring": "To calcule params of day_trade operations in a reference year_month, indexed by operation type and ticker",
"name": "_calcule_day_trade_operation_monthly_params",
"signature": "def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: s... | 2 | stack_v2_sparse_classes_30k_train_009435 | Implement the Python class `DayTradeCalculate` described below.
Class description:
To hander day_trade financial operation class
Method signatures and docstrings:
- def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: str) -> dict: To calcule params of day_trad... | Implement the Python class `DayTradeCalculate` described below.
Class description:
To hander day_trade financial operation class
Method signatures and docstrings:
- def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: str) -> dict: To calcule params of day_trad... | d005bdca7b141dee6d862bf50002df1b14c58434 | <|skeleton|>
class DayTradeCalculate:
"""To hander day_trade financial operation class"""
def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: str) -> dict:
"""To calcule params of day_trade operations in a reference year_month, indexed by operat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DayTradeCalculate:
"""To hander day_trade financial operation class"""
def _calcule_day_trade_operation_monthly_params(self, operations: list, year_month: str, ticker: str, broker: str) -> dict:
"""To calcule params of day_trade operations in a reference year_month, indexed by operation type and ... | the_stack_v2_python_sparse | simplecapp_calculation_engine/operation_classes/day_trade.py | GustavoRonconi/simplecapp_calculation_engine | train | 0 |
a83b782a2d028aeeb4ba26be36d0761443a344a4 | [
"seen = set()\nseen_add = seen.add\nreturn [x for x in _list if x not in seen and (not seen_add(x))]",
"for listItem in _list:\n if len(listItem) == 0:\n _list.remove(listItem)\nreturn _list"
] | <|body_start_0|>
seen = set()
seen_add = seen.add
return [x for x in _list if x not in seen and (not seen_add(x))]
<|end_body_0|>
<|body_start_1|>
for listItem in _list:
if len(listItem) == 0:
_list.remove(listItem)
return _list
<|end_body_1|>
| A subclass of MokaUtils pertaining to 'list' objects. | list | [
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class list:
"""A subclass of MokaUtils pertaining to 'list' objects."""
def uniqify(_list):
"""Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The list to modify. @type _list: list @return: The modified li... | stack_v2_sparse_classes_36k_train_028666 | 41,263 | permissive | [
{
"docstring": "Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The list to modify. @type _list: list @return: The modified list. @rtype: list",
"name": "uniqify",
"signature": "def uniqify(_list)"
},
{
"docstri... | 2 | stack_v2_sparse_classes_30k_train_008722 | Implement the Python class `list` described below.
Class description:
A subclass of MokaUtils pertaining to 'list' objects.
Method signatures and docstrings:
- def uniqify(_list): Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The l... | Implement the Python class `list` described below.
Class description:
A subclass of MokaUtils pertaining to 'list' objects.
Method signatures and docstrings:
- def uniqify(_list): Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The l... | 06867037842e2a074ae5ed3b0bdf4bf016a231a5 | <|skeleton|>
class list:
"""A subclass of MokaUtils pertaining to 'list' objects."""
def uniqify(_list):
"""Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The list to modify. @type _list: list @return: The modified li... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class list:
"""A subclass of MokaUtils pertaining to 'list' objects."""
def uniqify(_list):
"""Returns only unique elements in a list, while preserving order: From: http://www.peterbe.com/plog/uniqifiers-benchmark @param _list: The list to modify. @type _list: list @return: The modified list. @rtype: l... | the_stack_v2_python_sparse | XNATSlicer/XnatSlicerLib/ext/MokaUtils/MokaUtils.py | NrgXnat/XNATSlicer | train | 4 |
6586a07641134eceb072ff59c6a2be3353eafd7c | [
"name_int = 'classlabels_int64s' if hasattr(self, 'classlabels_int64s') else 'classlabels_ints'\nif hasattr(self, 'classlabels_strings') and len(self.classlabels_strings) > 0:\n if hasattr(self, name_int) and len(getattr(self, name_int)) != 0:\n raise RuntimeError(f\"'{name_int}' must be empty if 'classla... | <|body_start_0|>
name_int = 'classlabels_int64s' if hasattr(self, 'classlabels_int64s') else 'classlabels_ints'
if hasattr(self, 'classlabels_strings') and len(self.classlabels_strings) > 0:
if hasattr(self, name_int) and len(getattr(self, name_int)) != 0:
raise RuntimeError(... | Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings. | _ClassifierCommon | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _ClassifierCommon:
"""Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings."""
def _post_process_label_attributes(self):
"""Replaces string labels by int64 labe... | stack_v2_sparse_classes_36k_train_028667 | 1,743 | permissive | [
{
"docstring": "Replaces string labels by int64 labels. It creates attributes *_classlabels_int64s_string*.",
"name": "_post_process_label_attributes",
"signature": "def _post_process_label_attributes(self)"
},
{
"docstring": "Replaces int64 predicted labels by the corresponding strings.",
"... | 2 | null | Implement the Python class `_ClassifierCommon` described below.
Class description:
Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings.
Method signatures and docstrings:
- def _post_process_lab... | Implement the Python class `_ClassifierCommon` described below.
Class description:
Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings.
Method signatures and docstrings:
- def _post_process_lab... | 27d6da4ecdd76e18292f265fde61d19b66937a5c | <|skeleton|>
class _ClassifierCommon:
"""Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings."""
def _post_process_label_attributes(self):
"""Replaces string labels by int64 labe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _ClassifierCommon:
"""Labels strings are not natively implemented in C++ runtime. The class stores the strings labels, replaces them by integer, calls the C++ codes and then replaces them by strings."""
def _post_process_label_attributes(self):
"""Replaces string labels by int64 labels. It create... | the_stack_v2_python_sparse | mlprodict/onnxrt/ops_cpu/_op_classifier_string.py | sdpython/mlprodict | train | 60 |
1690392b6837024688c7ee5594f3beaf14883101 | [
"d = {}\nfor i in range(len(order)):\n d[order[i]] = i\nmaxLenSoFar = 0\nfor word in words:\n maxLenSoFar = max(maxLenSoFar, len(word))\nfor i in range(len(words) - 1):\n cur = words[i]\n nxt = words[i + 1]\n ln = max(len(cur), len(nxt))\n for j in range(ln):\n if j >= len(nxt):\n ... | <|body_start_0|>
d = {}
for i in range(len(order)):
d[order[i]] = i
maxLenSoFar = 0
for word in words:
maxLenSoFar = max(maxLenSoFar, len(word))
for i in range(len(words) - 1):
cur = words[i]
nxt = words[i + 1]
ln = max(... | https://leetcode.com/problems/verifying-an-alien-dictionary/description/ | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/verifying-an-alien-dictionary/description/"""
def isAlienSorted(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_0|>
def isAlienSorted2(self, words, order):
""":type words: List[str]... | stack_v2_sparse_classes_36k_train_028668 | 2,919 | no_license | [
{
"docstring": ":type words: List[str] :type order: str :rtype: bool",
"name": "isAlienSorted",
"signature": "def isAlienSorted(self, words, order)"
},
{
"docstring": ":type words: List[str] :type order: str :rtype: bool",
"name": "isAlienSorted2",
"signature": "def isAlienSorted2(self, ... | 3 | null | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/verifying-an-alien-dictionary/description/
Method signatures and docstrings:
- def isAlienSorted(self, words, order): :type words: List[str] :type order: str :rtype: bool
- def isAlienSorted2(self, words, order): :... | Implement the Python class `Solution` described below.
Class description:
https://leetcode.com/problems/verifying-an-alien-dictionary/description/
Method signatures and docstrings:
- def isAlienSorted(self, words, order): :type words: List[str] :type order: str :rtype: bool
- def isAlienSorted2(self, words, order): :... | 54d3d9530b25272d4a2e5dc33e7035c44f506dc5 | <|skeleton|>
class Solution:
"""https://leetcode.com/problems/verifying-an-alien-dictionary/description/"""
def isAlienSorted(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_0|>
def isAlienSorted2(self, words, order):
""":type words: List[str]... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""https://leetcode.com/problems/verifying-an-alien-dictionary/description/"""
def isAlienSorted(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
d = {}
for i in range(len(order)):
d[order[i]] = i
maxLenSoFar = 0
... | the_stack_v2_python_sparse | old/Session002/TopInterviewQuestions/VerifyinganAlienDictionary.py | MaxIakovliev/algorithms | train | 0 |
7f193ea3b27e25e34fd214422066a0a15e910e96 | [
"solutions = []\nself.backtrack([], solutions, 0, 0, n)\nreturn solutions",
"if len(solution) < n * 2:\n if left < n:\n solution.append('(')\n left += 1\n self.backtrack(solution, solutions, left, right, n)\n left -= 1\n solution.pop()\n if right < left:\n solution.... | <|body_start_0|>
solutions = []
self.backtrack([], solutions, 0, 0, n)
return solutions
<|end_body_0|>
<|body_start_1|>
if len(solution) < n * 2:
if left < n:
solution.append('(')
left += 1
self.backtrack(solution, solutions, l... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generateParenthesis(self, n):
""":type n: int :rtype: List[str]"""
<|body_0|>
def backtrack(self, solution, solutions, left, right, n):
"""`solution` is a growing list of '(' and ')' that can be potentially completed as a valid set of parentheses. `left... | stack_v2_sparse_classes_36k_train_028669 | 3,514 | no_license | [
{
"docstring": ":type n: int :rtype: List[str]",
"name": "generateParenthesis",
"signature": "def generateParenthesis(self, n)"
},
{
"docstring": "`solution` is a growing list of '(' and ')' that can be potentially completed as a valid set of parentheses. `left`: count of '(' in `solution`. `rig... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generateParenthesis(self, n): :type n: int :rtype: List[str]
- def backtrack(self, solution, solutions, left, right, n): `solution` is a growing list of '(' and ')' that can ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generateParenthesis(self, n): :type n: int :rtype: List[str]
- def backtrack(self, solution, solutions, left, right, n): `solution` is a growing list of '(' and ')' that can ... | 69a960dd8f39e9c8435a3678852071e1085fcb72 | <|skeleton|>
class Solution:
def generateParenthesis(self, n):
""":type n: int :rtype: List[str]"""
<|body_0|>
def backtrack(self, solution, solutions, left, right, n):
"""`solution` is a growing list of '(' and ')' that can be potentially completed as a valid set of parentheses. `left... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def generateParenthesis(self, n):
""":type n: int :rtype: List[str]"""
solutions = []
self.backtrack([], solutions, 0, 0, n)
return solutions
def backtrack(self, solution, solutions, left, right, n):
"""`solution` is a growing list of '(' and ')' that can... | the_stack_v2_python_sparse | python/dp/1d/lc22.py | chao-ji/LeetCode | train | 1 | |
184397e1208d1ff6d2b9eadb44702e7b44781524 | [
"self.api = None\nself._base_url = None\nself._username = None\nself._password = None\nself._existing_entry = None\nself._description_placeholders = None",
"errors = {}\nif user_input is None:\n return self._show_setup_form(user_input, errors)\nreturn await self._validate_and_create_entry(user_input, 'user')",... | <|body_start_0|>
self.api = None
self._base_url = None
self._username = None
self._password = None
self._existing_entry = None
self._description_placeholders = None
<|end_body_0|>
<|body_start_1|>
errors = {}
if user_input is None:
return self... | Handle a FireServiceRota config flow. | FireServiceRotaFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FireServiceRotaFlowHandler:
"""Handle a FireServiceRota config flow."""
def __init__(self):
"""Initialize config flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initiated by the user."""
<|body_1|>
async def _va... | stack_v2_sparse_classes_36k_train_028670 | 4,479 | permissive | [
{
"docstring": "Initialize config flow.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Handle a flow initiated by the user.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input=None)"
},
{
"docstring": "Check if config ... | 6 | stack_v2_sparse_classes_30k_train_006243 | Implement the Python class `FireServiceRotaFlowHandler` described below.
Class description:
Handle a FireServiceRota config flow.
Method signatures and docstrings:
- def __init__(self): Initialize config flow.
- async def async_step_user(self, user_input=None): Handle a flow initiated by the user.
- async def _valida... | Implement the Python class `FireServiceRotaFlowHandler` described below.
Class description:
Handle a FireServiceRota config flow.
Method signatures and docstrings:
- def __init__(self): Initialize config flow.
- async def async_step_user(self, user_input=None): Handle a flow initiated by the user.
- async def _valida... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class FireServiceRotaFlowHandler:
"""Handle a FireServiceRota config flow."""
def __init__(self):
"""Initialize config flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initiated by the user."""
<|body_1|>
async def _va... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FireServiceRotaFlowHandler:
"""Handle a FireServiceRota config flow."""
def __init__(self):
"""Initialize config flow."""
self.api = None
self._base_url = None
self._username = None
self._password = None
self._existing_entry = None
self._description... | the_stack_v2_python_sparse | homeassistant/components/fireservicerota/config_flow.py | home-assistant/core | train | 35,501 |
42ba469dc749b3fe8d7e0418e34e0f4cb1b38fe9 | [
"self.name = name\nself.unit_set = unit_set\nself.unit_name = units_of_quantities[self.name]\nunit_expr = sm.sympify(self.unit_name)\nunit_expr = unit_expr.subs(derived_units)\nself.symbolic_value = sm.sympify(str(unit_expr))\natoms = self.symbolic_value.atoms(sm.Symbol)\nself.def_units = [Unit(atom.name) for atom ... | <|body_start_0|>
self.name = name
self.unit_set = unit_set
self.unit_name = units_of_quantities[self.name]
unit_expr = sm.sympify(self.unit_name)
unit_expr = unit_expr.subs(derived_units)
self.symbolic_value = sm.sympify(str(unit_expr))
atoms = self.symbolic_value... | A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quantity('stress', unit_set) >>> q1() '1.0 Pa' Show its unit using various prefi... | Quantity | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Quantity:
"""A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quantity('stress', unit_set) >>> q1() '1.0 P... | stack_v2_sparse_classes_36k_train_028671 | 8,377 | permissive | [
{
"docstring": "Create a quantity in the given unit set. The name must be listed in the units_of_quantities dictionary.",
"name": "__init__",
"signature": "def __init__(self, name, unit_set)"
},
{
"docstring": "Get auxiliary dictionaries for a unit set.",
"name": "_get_dicts",
"signature... | 3 | stack_v2_sparse_classes_30k_train_006656 | Implement the Python class `Quantity` described below.
Class description:
A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quant... | Implement the Python class `Quantity` described below.
Class description:
A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quant... | 0c2d1690e764b601b2687be1e4261b82207ca366 | <|skeleton|>
class Quantity:
"""A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quantity('stress', unit_set) >>> q1() '1.0 P... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Quantity:
"""A physical quantity in a given set of basic units. Examples -------- Construct the stress quantity: >>> from sfepy.mechanics.units import Unit, Quantity >>> units = ['m', 's', 'kg', 'C'] >>> unit_set = [Unit(key) for key in units] >>> q1 = Quantity('stress', unit_set) >>> q1() '1.0 Pa' Show its u... | the_stack_v2_python_sparse | sfepy/mechanics/units.py | sfepy/sfepy | train | 651 |
72c3835d959005f7b0756e4dcb680d50b2a476f3 | [
"super(World, self).__init__(**kwargs)\nself.contact_network = contact_network\nself.agent_list = agent_list",
"assert agent in self.agent_list, 'agent is not in agent_list'\nindex = self.agent_list.index(agent)\nisolated = True\ni = 0\nn = self.contact_network[0].size\nwhile isolated and i < n:\n if self.cont... | <|body_start_0|>
super(World, self).__init__(**kwargs)
self.contact_network = contact_network
self.agent_list = agent_list
<|end_body_0|>
<|body_start_1|>
assert agent in self.agent_list, 'agent is not in agent_list'
index = self.agent_list.index(agent)
isolated = True
... | Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters. | World | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class World:
"""Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters."""
def __init__(self, *, contact_network=None, agent_list=[], **kwargs):
"""Initialize an instance of World. Parameters ---------- agent_l... | stack_v2_sparse_classes_36k_train_028672 | 3,999 | permissive | [
{
"docstring": "Initialize an instance of World. Parameters ---------- agent_list",
"name": "__init__",
"signature": "def __init__(self, *, contact_network=None, agent_list=[], **kwargs)"
},
{
"docstring": "Return True if agent has a neighbor and False if not. Parameters ---------- agent Agent: ... | 5 | null | Implement the Python class `World` described below.
Class description:
Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters.
Method signatures and docstrings:
- def __init__(self, *, contact_network=None, agent_list=[], **kwargs): Initi... | Implement the Python class `World` described below.
Class description:
Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters.
Method signatures and docstrings:
- def __init__(self, *, contact_network=None, agent_list=[], **kwargs): Initi... | c5741080db35713ff469d19698519499c46583ca | <|skeleton|>
class World:
"""Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters."""
def __init__(self, *, contact_network=None, agent_list=[], **kwargs):
"""Initialize an instance of World. Parameters ---------- agent_l... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class World:
"""Define properties of exploit_social_learning.world. Inherits from I.World as the interface with all necessary variables and parameters."""
def __init__(self, *, contact_network=None, agent_list=[], **kwargs):
"""Initialize an instance of World. Parameters ---------- agent_list"""
... | the_stack_v2_python_sparse | pycopancore/model_components/exploit_social_learning/implementation/world.py | vishalbelsare/pycopancore | train | 0 |
228be976e061fa94685b5e75caadee4501baf123 | [
"queue = deque([root])\ncur_lv = []\nwhile queue:\n cur_lv = []\n for i in range(len(queue)):\n cnode = queue.popleft()\n if not cur_lv:\n cur_lv.append(cnode.val)\n if cnode.left:\n queue.append(cnode.left)\n if cnode.right:\n queue.append(cnode.ri... | <|body_start_0|>
queue = deque([root])
cur_lv = []
while queue:
cur_lv = []
for i in range(len(queue)):
cnode = queue.popleft()
if not cur_lv:
cur_lv.append(cnode.val)
if cnode.left:
q... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findBottomLeftValueDFS(self, root: TreeNode) -> int:
"""BFS Solution with queue"""
<|body_0|>
def findBottomLeftValueBFS(self, root: TreeNode) -> int:
"""DFS Solution with stack"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
queue = d... | stack_v2_sparse_classes_36k_train_028673 | 1,730 | permissive | [
{
"docstring": "BFS Solution with queue",
"name": "findBottomLeftValueDFS",
"signature": "def findBottomLeftValueDFS(self, root: TreeNode) -> int"
},
{
"docstring": "DFS Solution with stack",
"name": "findBottomLeftValueBFS",
"signature": "def findBottomLeftValueBFS(self, root: TreeNode)... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findBottomLeftValueDFS(self, root: TreeNode) -> int: BFS Solution with queue
- def findBottomLeftValueBFS(self, root: TreeNode) -> int: DFS Solution with stack | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findBottomLeftValueDFS(self, root: TreeNode) -> int: BFS Solution with queue
- def findBottomLeftValueBFS(self, root: TreeNode) -> int: DFS Solution with stack
<|skeleton|>
... | c07b555127ee89d6f461cea7cd87811c382086ff | <|skeleton|>
class Solution:
def findBottomLeftValueDFS(self, root: TreeNode) -> int:
"""BFS Solution with queue"""
<|body_0|>
def findBottomLeftValueBFS(self, root: TreeNode) -> int:
"""DFS Solution with stack"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findBottomLeftValueDFS(self, root: TreeNode) -> int:
"""BFS Solution with queue"""
queue = deque([root])
cur_lv = []
while queue:
cur_lv = []
for i in range(len(queue)):
cnode = queue.popleft()
if not cur_lv:... | the_stack_v2_python_sparse | Leetcode/week_5/p0513_find_bottom_left_tree_value.py | scohen40/wallbreakers_projects | train | 0 | |
9c62560105cc0cce95532315a357d22d164ece7d | [
"queryset = EventCategory.objects.filter(parent=None)\nserializer = EventCategoryChildrenSerializer(queryset, many=True, context={'request': request})\nreturn Response(serializer.data)",
"queryset = EventCategory.objects.all()\ncategory = get_object_or_404(queryset, pk=pk)\nserializer = EventCategoryChildrenSeria... | <|body_start_0|>
queryset = EventCategory.objects.filter(parent=None)
serializer = EventCategoryChildrenSerializer(queryset, many=True, context={'request': request})
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
queryset = EventCategory.objects.all()
category ... | EventCategoryViewSet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventCategoryViewSet:
def list(self, request):
"""Returns the tree of all event categories via GET. Allows any."""
<|body_0|>
def retrieve(self, request, pk):
"""Returns a particular branch of event categories via GET. Allows any."""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_36k_train_028674 | 9,571 | no_license | [
{
"docstring": "Returns the tree of all event categories via GET. Allows any.",
"name": "list",
"signature": "def list(self, request)"
},
{
"docstring": "Returns a particular branch of event categories via GET. Allows any.",
"name": "retrieve",
"signature": "def retrieve(self, request, p... | 2 | stack_v2_sparse_classes_30k_train_003883 | Implement the Python class `EventCategoryViewSet` described below.
Class description:
Implement the EventCategoryViewSet class.
Method signatures and docstrings:
- def list(self, request): Returns the tree of all event categories via GET. Allows any.
- def retrieve(self, request, pk): Returns a particular branch of e... | Implement the Python class `EventCategoryViewSet` described below.
Class description:
Implement the EventCategoryViewSet class.
Method signatures and docstrings:
- def list(self, request): Returns the tree of all event categories via GET. Allows any.
- def retrieve(self, request, pk): Returns a particular branch of e... | 78ef668111d7552c98795c8aa07698b642cf09a5 | <|skeleton|>
class EventCategoryViewSet:
def list(self, request):
"""Returns the tree of all event categories via GET. Allows any."""
<|body_0|>
def retrieve(self, request, pk):
"""Returns a particular branch of event categories via GET. Allows any."""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EventCategoryViewSet:
def list(self, request):
"""Returns the tree of all event categories via GET. Allows any."""
queryset = EventCategory.objects.filter(parent=None)
serializer = EventCategoryChildrenSerializer(queryset, many=True, context={'request': request})
return Respons... | the_stack_v2_python_sparse | backend/core/views.py | lawrencejberry/bridge | train | 0 | |
769a44c9d325a1bbc356c9db97a6e338a4e2bcd5 | [
"if not s or not wordDict:\n return []\nn = len(s)\nf = [[] for i in range(n)]\nfor i in range(n - 1, -1, -1):\n for j in range(i + 1, n + 1):\n if s[i:j] in wordDict:\n if j == n or len(f[j]) > 0:\n f[i].append(j)\nprint(f)\nreturn self.dfs(0, s, f, '', [])",
"if p == len(s... | <|body_start_0|>
if not s or not wordDict:
return []
n = len(s)
f = [[] for i in range(n)]
for i in range(n - 1, -1, -1):
for j in range(i + 1, n + 1):
if s[i:j] in wordDict:
if j == n or len(f[j]) > 0:
f... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wordBreak(self, s, wordDict):
"""利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，来加块之后的搜索"""
<|body_0|>
def dfs(self, p, s, f, now, res):
"""深度优先搜索，当前单词搜索完之后... | stack_v2_sparse_classes_36k_train_028675 | 2,910 | no_license | [
{
"docstring": "利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，来加块之后的搜索",
"name": "wordBreak",
"signature": "def wordBreak(self, s, wordDict)"
},
{
"docstring": "深度优先搜索，当前单词搜索完之后，从结束为止下一个字符开始搜索",
... | 2 | stack_v2_sparse_classes_30k_train_016192 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak(self, s, wordDict): 利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wordBreak(self, s, wordDict): 利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，... | 95dddb78bccd169d9d219a473627361fe739ab5e | <|skeleton|>
class Solution:
def wordBreak(self, s, wordDict):
"""利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，来加块之后的搜索"""
<|body_0|>
def dfs(self, p, s, f, now, res):
"""深度优先搜索，当前单词搜索完之后... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def wordBreak(self, s, wordDict):
"""利用f[i]记录以i为起点的每个片段的终点j，并且片段要在在字典中， 然后从0开始搜索，每次给当前片段加上空格，然后以当前片段的末尾作为 下一次搜索的头部，避免不必要的搜索 深度优先搜索的思想不是体现在字符搜索上，而是单词搜索上 所以要先找出以各个位置字符为开始的单词通过记录最后的位置，来加块之后的搜索"""
if not s or not wordDict:
return []
n = len(s)
f = [[] for i in... | the_stack_v2_python_sparse | BFS&DFS/wordBreak2.py | Philex5/codingPractice | train | 0 | |
755736cbfcedd7616f93d2b7c4a148e5548063e4 | [
"gini = GiniFile(filename_or_obj)\ngini_attrs = gini.get_attrs()\ncoords = dict(gini._make_coord_vars() + [gini._make_time_var()])\ncoords['time'] = CFDatetimeCoder().decode(coords['time'])\n(proj_name, proj_var), (data_name, data_var) = gini._make_data_vars()\ndata_var.attrs.pop('coordinates')\ndecoded_data_var = ... | <|body_start_0|>
gini = GiniFile(filename_or_obj)
gini_attrs = gini.get_attrs()
coords = dict(gini._make_coord_vars() + [gini._make_time_var()])
coords['time'] = CFDatetimeCoder().decode(coords['time'])
(proj_name, proj_var), (data_name, data_var) = gini._make_data_vars()
... | Entry point for direct reading of GINI data into Xarray. | GiniXarrayBackend | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GiniXarrayBackend:
"""Entry point for direct reading of GINI data into Xarray."""
def open_dataset(self, filename_or_obj, *, drop_variables=None):
"""Open the GINI datafile as a Xarray dataset. This is the main entrypoint for plugging into Xarray read support."""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_028676 | 18,582 | permissive | [
{
"docstring": "Open the GINI datafile as a Xarray dataset. This is the main entrypoint for plugging into Xarray read support.",
"name": "open_dataset",
"signature": "def open_dataset(self, filename_or_obj, *, drop_variables=None)"
},
{
"docstring": "Try to guess whether we can read this file. T... | 2 | stack_v2_sparse_classes_30k_val_000383 | Implement the Python class `GiniXarrayBackend` described below.
Class description:
Entry point for direct reading of GINI data into Xarray.
Method signatures and docstrings:
- def open_dataset(self, filename_or_obj, *, drop_variables=None): Open the GINI datafile as a Xarray dataset. This is the main entrypoint for p... | Implement the Python class `GiniXarrayBackend` described below.
Class description:
Entry point for direct reading of GINI data into Xarray.
Method signatures and docstrings:
- def open_dataset(self, filename_or_obj, *, drop_variables=None): Open the GINI datafile as a Xarray dataset. This is the main entrypoint for p... | c7124e6f375eb5810ce49d53c9d5501c2efdfb75 | <|skeleton|>
class GiniXarrayBackend:
"""Entry point for direct reading of GINI data into Xarray."""
def open_dataset(self, filename_or_obj, *, drop_variables=None):
"""Open the GINI datafile as a Xarray dataset. This is the main entrypoint for plugging into Xarray read support."""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GiniXarrayBackend:
"""Entry point for direct reading of GINI data into Xarray."""
def open_dataset(self, filename_or_obj, *, drop_variables=None):
"""Open the GINI datafile as a Xarray dataset. This is the main entrypoint for plugging into Xarray read support."""
gini = GiniFile(filename_... | the_stack_v2_python_sparse | src/metpy/io/gini.py | Unidata/MetPy | train | 1,041 |
0e92fc0cc31387f1ae59ac44028ba37d9a2d664e | [
"convid = kwargs['convid']\nsender = kwargs['sender']\nlocation = kwargs['location']\nconv = Conversation.objects.get(convid=convid)\nassert sender in conv.members, f'sender_error {convid} {sender}'\nkwargs['location'] = location if isinstance(location, dict) else {}\nkwargs['symbol'] = kwargs.get('symbol') or conv... | <|body_start_0|>
convid = kwargs['convid']
sender = kwargs['sender']
location = kwargs['location']
conv = Conversation.objects.get(convid=convid)
assert sender in conv.members, f'sender_error {convid} {sender}'
kwargs['location'] = location if isinstance(location, dict) e... | MessageManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MessageManager:
def _msg_create(self, **kwargs):
"""消息创建"""
<|body_0|>
def trigger_msg_add(self, contact, trigger, content, symbol, location=None, **kwargs):
"""触发消息添加"""
<|body_1|>
def stay_msg_add(self, contact, content, location=None):
"""留言消息... | stack_v2_sparse_classes_36k_train_028677 | 25,386 | no_license | [
{
"docstring": "消息创建",
"name": "_msg_create",
"signature": "def _msg_create(self, **kwargs)"
},
{
"docstring": "触发消息添加",
"name": "trigger_msg_add",
"signature": "def trigger_msg_add(self, contact, trigger, content, symbol, location=None, **kwargs)"
},
{
"docstring": "留言消息",
"... | 4 | null | Implement the Python class `MessageManager` described below.
Class description:
Implement the MessageManager class.
Method signatures and docstrings:
- def _msg_create(self, **kwargs): 消息创建
- def trigger_msg_add(self, contact, trigger, content, symbol, location=None, **kwargs): 触发消息添加
- def stay_msg_add(self, contact... | Implement the Python class `MessageManager` described below.
Class description:
Implement the MessageManager class.
Method signatures and docstrings:
- def _msg_create(self, **kwargs): 消息创建
- def trigger_msg_add(self, contact, trigger, content, symbol, location=None, **kwargs): 触发消息添加
- def stay_msg_add(self, contact... | b7ed6588e13d2916a4162d56509d2794742a1eb1 | <|skeleton|>
class MessageManager:
def _msg_create(self, **kwargs):
"""消息创建"""
<|body_0|>
def trigger_msg_add(self, contact, trigger, content, symbol, location=None, **kwargs):
"""触发消息添加"""
<|body_1|>
def stay_msg_add(self, contact, content, location=None):
"""留言消息... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MessageManager:
def _msg_create(self, **kwargs):
"""消息创建"""
convid = kwargs['convid']
sender = kwargs['sender']
location = kwargs['location']
conv = Conversation.objects.get(convid=convid)
assert sender in conv.members, f'sender_error {convid} {sender}'
... | the_stack_v2_python_sparse | server/applibs/convert/models/contact.py | fanshuai/kubrick | train | 0 | |
b5e97b34b7b58e6f7e5e008d440401792011b40b | [
"if reference is not None and query is not None:\n raise ValueError('Both reference and query params provided')\nif reference is not None:\n sieve = ItemImplicitSieve(data, reference)\nif query is not None:\n sieve = ItemExplicitSieve(data, query)\nreturn sieve",
"if isinstance(reference_query_sieve, (li... | <|body_start_0|>
if reference is not None and query is not None:
raise ValueError('Both reference and query params provided')
if reference is not None:
sieve = ItemImplicitSieve(data, reference)
if query is not None:
sieve = ItemExplicitSieve(data, query)
... | ItemSievesFactory | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ItemSievesFactory:
def from_ref_and_query(data, reference=None, query=None):
"""Both reference and query must not be provided at the same time :param data: DataSet of the sieve :param reference: A list of item keys :param query: An explicit query"""
<|body_0|>
def from_rqs(d... | stack_v2_sparse_classes_36k_train_028678 | 12,842 | no_license | [
{
"docstring": "Both reference and query must not be provided at the same time :param data: DataSet of the sieve :param reference: A list of item keys :param query: An explicit query",
"name": "from_ref_and_query",
"signature": "def from_ref_and_query(data, reference=None, query=None)"
},
{
"doc... | 2 | stack_v2_sparse_classes_30k_train_014867 | Implement the Python class `ItemSievesFactory` described below.
Class description:
Implement the ItemSievesFactory class.
Method signatures and docstrings:
- def from_ref_and_query(data, reference=None, query=None): Both reference and query must not be provided at the same time :param data: DataSet of the sieve :para... | Implement the Python class `ItemSievesFactory` described below.
Class description:
Implement the ItemSievesFactory class.
Method signatures and docstrings:
- def from_ref_and_query(data, reference=None, query=None): Both reference and query must not be provided at the same time :param data: DataSet of the sieve :para... | 76761cf513a438a7bc24f6ffa748c9ccacb6e4b4 | <|skeleton|>
class ItemSievesFactory:
def from_ref_and_query(data, reference=None, query=None):
"""Both reference and query must not be provided at the same time :param data: DataSet of the sieve :param reference: A list of item keys :param query: An explicit query"""
<|body_0|>
def from_rqs(d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ItemSievesFactory:
def from_ref_and_query(data, reference=None, query=None):
"""Both reference and query must not be provided at the same time :param data: DataSet of the sieve :param reference: A list of item keys :param query: An explicit query"""
if reference is not None and query is not No... | the_stack_v2_python_sparse | indyva/dynamics/sieve.py | crispamares/indyva | train | 1 | |
b6969e4e9fe516cd33731f20e9f48af65813b018 | [
"super().__init__()\nself.num_classes = num_classes\nself.utterance_proj = nn.Linear(embedding_dim, embedding_dim)\nself.activation = nn.functional.gelu\nself.layer1 = nn.Linear(embedding_dim, num_classes)",
"utterance_embedding = self.utterance_proj(encoded_utterance)\nutterance_embedding = self.activation(utter... | <|body_start_0|>
super().__init__()
self.num_classes = num_classes
self.utterance_proj = nn.Linear(embedding_dim, embedding_dim)
self.activation = nn.functional.gelu
self.layer1 = nn.Linear(embedding_dim, num_classes)
<|end_body_0|>
<|body_start_1|>
utterance_embedding =... | LogitsQA | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogitsQA:
def __init__(self, num_classes: int, embedding_dim: int):
"""Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes for which logits are to be generated. embedding_dim: hidden size of the BERT Returns: A tensor of ... | stack_v2_sparse_classes_36k_train_028679 | 7,653 | permissive | [
{
"docstring": "Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes for which logits are to be generated. embedding_dim: hidden size of the BERT Returns: A tensor of shape (batch_size, num_classes) containing the logits.",
"name": "__init__"... | 2 | null | Implement the Python class `LogitsQA` described below.
Class description:
Implement the LogitsQA class.
Method signatures and docstrings:
- def __init__(self, num_classes: int, embedding_dim: int): Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes f... | Implement the Python class `LogitsQA` described below.
Class description:
Implement the LogitsQA class.
Method signatures and docstrings:
- def __init__(self, num_classes: int, embedding_dim: int): Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes f... | c20a16ea8aa2a9d8e31a98eb22178ddb9d5935e7 | <|skeleton|>
class LogitsQA:
def __init__(self, num_classes: int, embedding_dim: int):
"""Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes for which logits are to be generated. embedding_dim: hidden size of the BERT Returns: A tensor of ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LogitsQA:
def __init__(self, num_classes: int, embedding_dim: int):
"""Get logits for elements by conditioning on input embedding. Args: num_classes: An int containing the number of classes for which logits are to be generated. embedding_dim: hidden size of the BERT Returns: A tensor of shape (batch_s... | the_stack_v2_python_sparse | nemo/collections/nlp/modules/dialogue_state_tracking/sgd_decoder.py | NVIDIA/NeMo | train | 7,957 | |
0960020f36e83c50446ef6ea1006b6c5531c6f8d | [
"import cppyy\ncppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 {}')\ncppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 { class PyCpp12_A {}; int PyCpp12_f() {return 32;}; }')\nself.assertTrue(cppyy.gbl.PyCpp12_ns_test1.PyCpp12_A())\nself.assertEqual(cppyy.gbl.PyCpp12_ns_test1.PyCpp12_f()... | <|body_start_0|>
import cppyy
cppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 {}')
cppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 { class PyCpp12_A {}; int PyCpp12_f() {return 32;}; }')
self.assertTrue(cppyy.gbl.PyCpp12_ns_test1.PyCpp12_A())
self.as... | Cpp12NamespaceLazyFunctions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cpp12NamespaceLazyFunctions:
def test1NamespaceLazyFunctions(self):
"""Lazy lookup of late created functions"""
<|body_0|>
def test2NamespaceOverloadedLazyFunctions(self):
"""Lazy lookup of late created overloaded functions"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_028680 | 30,462 | no_license | [
{
"docstring": "Lazy lookup of late created functions",
"name": "test1NamespaceLazyFunctions",
"signature": "def test1NamespaceLazyFunctions(self)"
},
{
"docstring": "Lazy lookup of late created overloaded functions",
"name": "test2NamespaceOverloadedLazyFunctions",
"signature": "def tes... | 2 | stack_v2_sparse_classes_30k_train_014259 | Implement the Python class `Cpp12NamespaceLazyFunctions` described below.
Class description:
Implement the Cpp12NamespaceLazyFunctions class.
Method signatures and docstrings:
- def test1NamespaceLazyFunctions(self): Lazy lookup of late created functions
- def test2NamespaceOverloadedLazyFunctions(self): Lazy lookup ... | Implement the Python class `Cpp12NamespaceLazyFunctions` described below.
Class description:
Implement the Cpp12NamespaceLazyFunctions class.
Method signatures and docstrings:
- def test1NamespaceLazyFunctions(self): Lazy lookup of late created functions
- def test2NamespaceOverloadedLazyFunctions(self): Lazy lookup ... | 134508460915282a5d82d6cbbb6e6afa14653413 | <|skeleton|>
class Cpp12NamespaceLazyFunctions:
def test1NamespaceLazyFunctions(self):
"""Lazy lookup of late created functions"""
<|body_0|>
def test2NamespaceOverloadedLazyFunctions(self):
"""Lazy lookup of late created overloaded functions"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cpp12NamespaceLazyFunctions:
def test1NamespaceLazyFunctions(self):
"""Lazy lookup of late created functions"""
import cppyy
cppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 {}')
cppyy.gbl.gInterpreter.ProcessLine('namespace PyCpp12_ns_test1 { class PyCpp12_A {}; ... | the_stack_v2_python_sparse | python/cpp/PyROOT_advancedtests.py | root-project/roottest | train | 41 | |
3ec7aaee6646079936a9e3da7a8c87cefbfcc538 | [
"bindptr = BINDPTR()\ndesckind = DESCKIND()\nti = POINTER(ITypeInfo)()\nself.__com_Bind(name, lHashVal, flags, byref(ti), byref(desckind), byref(bindptr))\nkind = desckind.value\nif kind == DESCKIND_FUNCDESC:\n fd = bindptr.lpfuncdesc[0]\n fd.__ref__ = weakref.ref(fd, lambda dead: ti.ReleaseFuncDesc(bindptr.l... | <|body_start_0|>
bindptr = BINDPTR()
desckind = DESCKIND()
ti = POINTER(ITypeInfo)()
self.__com_Bind(name, lHashVal, flags, byref(ti), byref(desckind), byref(bindptr))
kind = desckind.value
if kind == DESCKIND_FUNCDESC:
fd = bindptr.lpfuncdesc[0]
f... | ITypeComp | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ITypeComp:
def Bind(self, name, flags=0, lHashVal=0):
"""Bind to a name"""
<|body_0|>
def BindType(self, name, lHashVal=0):
"""Bind a type, and return both the typeinfo and typecomp for it."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
bindptr = B... | stack_v2_sparse_classes_36k_train_028681 | 31,098 | permissive | [
{
"docstring": "Bind to a name",
"name": "Bind",
"signature": "def Bind(self, name, flags=0, lHashVal=0)"
},
{
"docstring": "Bind a type, and return both the typeinfo and typecomp for it.",
"name": "BindType",
"signature": "def BindType(self, name, lHashVal=0)"
}
] | 2 | null | Implement the Python class `ITypeComp` described below.
Class description:
Implement the ITypeComp class.
Method signatures and docstrings:
- def Bind(self, name, flags=0, lHashVal=0): Bind to a name
- def BindType(self, name, lHashVal=0): Bind a type, and return both the typeinfo and typecomp for it. | Implement the Python class `ITypeComp` described below.
Class description:
Implement the ITypeComp class.
Method signatures and docstrings:
- def Bind(self, name, flags=0, lHashVal=0): Bind to a name
- def BindType(self, name, lHashVal=0): Bind a type, and return both the typeinfo and typecomp for it.
<|skeleton|>
c... | c2d0098a309b6ce8c756ff840bfb53fb291747b6 | <|skeleton|>
class ITypeComp:
def Bind(self, name, flags=0, lHashVal=0):
"""Bind to a name"""
<|body_0|>
def BindType(self, name, lHashVal=0):
"""Bind a type, and return both the typeinfo and typecomp for it."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ITypeComp:
def Bind(self, name, flags=0, lHashVal=0):
"""Bind to a name"""
bindptr = BINDPTR()
desckind = DESCKIND()
ti = POINTER(ITypeInfo)()
self.__com_Bind(name, lHashVal, flags, byref(ti), byref(desckind), byref(bindptr))
kind = desckind.value
if kin... | the_stack_v2_python_sparse | virt/Lib/site-packages/comtypes/typeinfo.py | JoaoSevergnini/metalpy | train | 3 | |
8c6c7b820e394fb0f2ebbd4c3eb37090ca3d68a7 | [
"self._syntax_analyzer = syntax_analyzer\nself._semantic_analyzer = semantic_analyzer\nself._logger = logging.getLogger(__name__)",
"with io.open(input_file_path, 'r', encoding=encoding) as input_file:\n manifest_json = self.get_manifest_json(input_file)\n manifest = self._syntax_analyzer.analyze(manifest_j... | <|body_start_0|>
self._syntax_analyzer = syntax_analyzer
self._semantic_analyzer = semantic_analyzer
self._logger = logging.getLogger(__name__)
<|end_body_0|>
<|body_start_1|>
with io.open(input_file_path, 'r', encoding=encoding) as input_file:
manifest_json = self.get_manif... | Base class for RWPM-compatible parsers. | DocumentParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DocumentParser:
"""Base class for RWPM-compatible parsers."""
def __init__(self, syntax_analyzer, semantic_analyzer):
"""Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: syntax.SyntaxAnalyzer :param semantic_analyzer: Semantic ... | stack_v2_sparse_classes_36k_train_028682 | 23,409 | permissive | [
{
"docstring": "Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: syntax.SyntaxAnalyzer :param semantic_analyzer: Semantic analyser :type semantic_analyzer: semantic.SemanticAnalyzer",
"name": "__init__",
"signature": "def __init__(self, syntax_ana... | 6 | stack_v2_sparse_classes_30k_test_000652 | Implement the Python class `DocumentParser` described below.
Class description:
Base class for RWPM-compatible parsers.
Method signatures and docstrings:
- def __init__(self, syntax_analyzer, semantic_analyzer): Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: ... | Implement the Python class `DocumentParser` described below.
Class description:
Base class for RWPM-compatible parsers.
Method signatures and docstrings:
- def __init__(self, syntax_analyzer, semantic_analyzer): Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: ... | 662cc7e0721d0153857c8c17a37e2a6df86f8ce6 | <|skeleton|>
class DocumentParser:
"""Base class for RWPM-compatible parsers."""
def __init__(self, syntax_analyzer, semantic_analyzer):
"""Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: syntax.SyntaxAnalyzer :param semantic_analyzer: Semantic ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DocumentParser:
"""Base class for RWPM-compatible parsers."""
def __init__(self, syntax_analyzer, semantic_analyzer):
"""Initialize a new instance of Parser class. :param syntax_analyzer: Syntax analyzer :type syntax_analyzer: syntax.SyntaxAnalyzer :param semantic_analyzer: Semantic analyser :typ... | the_stack_v2_python_sparse | core/util/webpub_manifest_parser/core/parsers.py | NYPL-Simplified/circulation | train | 20 |
56134ef0a34c12035d17c7023066f2a4676ac77a | [
"serializer = self.get_serializer(data=request.data)\nserializer.is_valid(raise_exception=True)\nserializer.save()\nreturn Response(serializer.data, status=status.HTTP_201_CREATED)",
"username = request.data.get('username')\npassword = request.data.get('password')\nqueryset = Users.queryset.all().filter(Q(usernam... | <|body_start_0|>
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
serializer.save()
return Response(serializer.data, status=status.HTTP_201_CREATED)
<|end_body_0|>
<|body_start_1|>
username = request.data.get('username')
passw... | Users | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Users:
def register(self, request, *args, **kwargs):
"""创建用户接口 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def login(self, request, *args, **kwargs):
"""登录接口 :param request: :param args: :param kwargs: :return:"""
<|body_1|>
def ge... | stack_v2_sparse_classes_36k_train_028683 | 4,176 | no_license | [
{
"docstring": "创建用户接口 :param request: :param args: :param kwargs: :return:",
"name": "register",
"signature": "def register(self, request, *args, **kwargs)"
},
{
"docstring": "登录接口 :param request: :param args: :param kwargs: :return:",
"name": "login",
"signature": "def login(self, requ... | 3 | stack_v2_sparse_classes_30k_train_000462 | Implement the Python class `Users` described below.
Class description:
Implement the Users class.
Method signatures and docstrings:
- def register(self, request, *args, **kwargs): 创建用户接口 :param request: :param args: :param kwargs: :return:
- def login(self, request, *args, **kwargs): 登录接口 :param request: :param args:... | Implement the Python class `Users` described below.
Class description:
Implement the Users class.
Method signatures and docstrings:
- def register(self, request, *args, **kwargs): 创建用户接口 :param request: :param args: :param kwargs: :return:
- def login(self, request, *args, **kwargs): 登录接口 :param request: :param args:... | 03328eed92b3facac442f9c29eb64f906075b745 | <|skeleton|>
class Users:
def register(self, request, *args, **kwargs):
"""创建用户接口 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def login(self, request, *args, **kwargs):
"""登录接口 :param request: :param args: :param kwargs: :return:"""
<|body_1|>
def ge... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Users:
def register(self, request, *args, **kwargs):
"""创建用户接口 :param request: :param args: :param kwargs: :return:"""
serializer = self.get_serializer(data=request.data)
serializer.is_valid(raise_exception=True)
serializer.save()
return Response(serializer.data, status... | the_stack_v2_python_sparse | apps/users/views.py | yycarry1994/fccTestPlatform | train | 2 | |
89f507bc0e205ae3fc33ab4b8d80c3be9424c360 | [
"print('Loading weights to MidasNet: ', path)\nsuper(MidasNet, self).__init__()\nuse_pretrained = False if path else True\nself.pretrained, self.scratch = _make_encoder(backbone, features, use_pretrained)\nself.scratch.refinenet4 = FeatureFusionBlock(features)\nself.scratch.refinenet3 = FeatureFusionBlock(features)... | <|body_start_0|>
print('Loading weights to MidasNet: ', path)
super(MidasNet, self).__init__()
use_pretrained = False if path else True
self.pretrained, self.scratch = _make_encoder(backbone, features, use_pretrained)
self.scratch.refinenet4 = FeatureFusionBlock(features)
... | Network for monocular depth estimation. | MidasNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MidasNet:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. back... | stack_v2_sparse_classes_36k_train_028684 | 13,019 | permissive | [
{
"docstring": "Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. backbone (str, optional): Backbone network for encoder. Defaults to resnet50",
"name": "__init__",
"signature": "def __init__(self, path=None, features=... | 2 | stack_v2_sparse_classes_30k_train_003845 | Implement the Python class `MidasNet` described below.
Class description:
Network for monocular depth estimation.
Method signatures and docstrings:
- def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True): Init. Args: path (str, optional): Path to saved model. Defaults to None. features (... | Implement the Python class `MidasNet` described below.
Class description:
Network for monocular depth estimation.
Method signatures and docstrings:
- def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True): Init. Args: path (str, optional): Path to saved model. Defaults to None. features (... | a00c3619bf4042e446e1919087f0b09fe9fa3a65 | <|skeleton|>
class MidasNet:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. back... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MidasNet:
"""Network for monocular depth estimation."""
def __init__(self, path=None, features=256, backbone='resnet50', non_negative=True):
"""Init. Args: path (str, optional): Path to saved model. Defaults to None. features (int, optional): Number of features. Defaults to 256. backbone (str, op... | the_stack_v2_python_sparse | nasws/cnn/search_space/monodepth/models/midas_net.py | kcyu2014/nas-landmarkreg | train | 10 |
0568df2675059755847813b3a420f0ae7504994b | [
"if mr.shard_id is None:\n return {'message': 'Cannot proceed without a valid shard_id.'}\nuser_id = mr.specified_logged_in_user_id\nauth = authdata.AuthData.FromUserID(mr.cnxn, user_id, self.services)\nproject_id = mr.specified_project_id\nproject = self.services.project.GetProject(mr.cnxn, project_id)\nperms =... | <|body_start_0|>
if mr.shard_id is None:
return {'message': 'Cannot proceed without a valid shard_id.'}
user_id = mr.specified_logged_in_user_id
auth = authdata.AuthData.FromUserID(mr.cnxn, user_id, self.services)
project_id = mr.specified_project_id
project = self.se... | JSON servlet for getting issue IDs that the specified user cannot view. | BackendNonviewable | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackendNonviewable:
"""JSON servlet for getting issue IDs that the specified user cannot view."""
def HandleRequest(self, mr):
"""Get all the user IDs that the specified user cannot view. Args: mr: common information parsed from the HTTP request. Returns: Results dictionary {project_... | stack_v2_sparse_classes_36k_train_028685 | 5,020 | permissive | [
{
"docstring": "Get all the user IDs that the specified user cannot view. Args: mr: common information parsed from the HTTP request. Returns: Results dictionary {project_id: [issue_id]} in JSON format.",
"name": "HandleRequest",
"signature": "def HandleRequest(self, mr)"
},
{
"docstring": "Retur... | 4 | null | Implement the Python class `BackendNonviewable` described below.
Class description:
JSON servlet for getting issue IDs that the specified user cannot view.
Method signatures and docstrings:
- def HandleRequest(self, mr): Get all the user IDs that the specified user cannot view. Args: mr: common information parsed fro... | Implement the Python class `BackendNonviewable` described below.
Class description:
JSON servlet for getting issue IDs that the specified user cannot view.
Method signatures and docstrings:
- def HandleRequest(self, mr): Get all the user IDs that the specified user cannot view. Args: mr: common information parsed fro... | b5d4783f99461438ca9e6a477535617fadab6ba3 | <|skeleton|>
class BackendNonviewable:
"""JSON servlet for getting issue IDs that the specified user cannot view."""
def HandleRequest(self, mr):
"""Get all the user IDs that the specified user cannot view. Args: mr: common information parsed from the HTTP request. Returns: Results dictionary {project_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackendNonviewable:
"""JSON servlet for getting issue IDs that the specified user cannot view."""
def HandleRequest(self, mr):
"""Get all the user IDs that the specified user cannot view. Args: mr: common information parsed from the HTTP request. Returns: Results dictionary {project_id: [issue_id... | the_stack_v2_python_sparse | appengine/monorail/search/backendnonviewable.py | xinghun61/infra | train | 2 |
f0c70892e1d24be8bbb1e7328e3ea37404aad208 | [
"dictionary = dict()\nfor i in range(len(nums)):\n if nums[i] in dictionary:\n nums[i].append(i)\n if any(lambda x: x >= abs(i - k) and x <= i + k, nums):\n return True\n else:\n dictionary[nums[i]] = [i]\nreturn False",
"tracker = dict()\nfor i in range(len(nums)):\n if t... | <|body_start_0|>
dictionary = dict()
for i in range(len(nums)):
if nums[i] in dictionary:
nums[i].append(i)
if any(lambda x: x >= abs(i - k) and x <= i + k, nums):
return True
else:
dictionary[nums[i]] = [i]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_0|>
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_36k_train_028686 | 1,257 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool",
"name": "containsNearbyDuplicate",
"signature": "def containsNearbyDuplicate(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool",
"name": "containsNearbyDuplicate",
"signature": "def contain... | 2 | stack_v2_sparse_classes_30k_train_005574 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtype: bool
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtyp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtype: bool
- def containsNearbyDuplicate(self, nums, k): :type nums: List[int] :type k: int :rtyp... | d40c24736a6fee43b56aa1c80150c5f14be4ff22 | <|skeleton|>
class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_0|>
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def containsNearbyDuplicate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool"""
dictionary = dict()
for i in range(len(nums)):
if nums[i] in dictionary:
nums[i].append(i)
if any(lambda x: x >= abs(i - k) and x <= i... | the_stack_v2_python_sparse | LeetCodePractice/219. Contains Duplicate II.py | deepika087/CompetitiveProgramming | train | 10 | |
1551cf21b02340673adabca151988a906dc0f1ae | [
"length = len(array) - 1\nfor _ in range(length):\n for i in range(length):\n if array[i] > array[i + 1]:\n array[i], array[i + 1] = (array[i + 1], array[i])",
"for passes in range(len(array) - 1, 0, -1):\n for i in range(passes):\n if array[i] > array[i + 1]:\n array[i],... | <|body_start_0|>
length = len(array) - 1
for _ in range(length):
for i in range(length):
if array[i] > array[i + 1]:
array[i], array[i + 1] = (array[i + 1], array[i])
<|end_body_0|>
<|body_start_1|>
for passes in range(len(array) - 1, 0, -1):
... | Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort | Bubble | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bubble:
"""Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort"""
def bubble_naive(array):
"""A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes Time complexity: always O(n^2)"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_028687 | 14,101 | no_license | [
{
"docstring": "A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes Time complexity: always O(n^2)",
"name": "bubble_naive",
"signature": "def bubble_naive(array)"
},
{
"docstring": "Performs much better than the naive implementation by itterating th... | 4 | stack_v2_sparse_classes_30k_train_012056 | Implement the Python class `Bubble` described below.
Class description:
Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort
Method signatures and docstrings:
- def bubble_naive(array): A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes ... | Implement the Python class `Bubble` described below.
Class description:
Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort
Method signatures and docstrings:
- def bubble_naive(array): A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes ... | c88059dc66297af577ad2b8afa4e0ac0ad622915 | <|skeleton|>
class Bubble:
"""Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort"""
def bubble_naive(array):
"""A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes Time complexity: always O(n^2)"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Bubble:
"""Contains various bubble sort implementations. http://en.wikipedia.org/wiki/Bubble_sort"""
def bubble_naive(array):
"""A standard bubble sort implementation with no optimizations. Very bad and very slow. Inplace: Yes Time complexity: always O(n^2)"""
length = len(array) - 1
... | the_stack_v2_python_sparse | codes/BuildLinks1.02/test_input/sort_codes/pysort.py | DaHuO/Supergraph | train | 2 |
33463450a2f3e02e9b94cd8155c27db424ffe7f2 | [
"self.min = np.array([0.0, 0.0])\nself.value = 0.0\nself.domain = np.array([[-5.0, 5.0], [-5.0, 5.0]])\nself.n = 2\nself.smooth = True\nself.info = [True, True, True]\nself.latex_name = 'Three Hump Camel Function'\nself.latex_type = 'Valley Shaped'\nself.latex_cost = '\\\\[ f(\\\\mathbf{x}) = 2x_0^{2} - 1.05x_0^{4}... | <|body_start_0|>
self.min = np.array([0.0, 0.0])
self.value = 0.0
self.domain = np.array([[-5.0, 5.0], [-5.0, 5.0]])
self.n = 2
self.smooth = True
self.info = [True, True, True]
self.latex_name = 'Three Hump Camel Function'
self.latex_type = 'Valley Shaped... | Three Hump Camel Function. | ThreeHumpCamel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreeHumpCamel:
"""Three Hump Camel Function."""
def __init__(self):
"""Constructor."""
<|body_0|>
def cost(self, x):
"""Cost function."""
<|body_1|>
def grad(self, x):
"""Grad function."""
<|body_2|>
def hess(self, x):
"... | stack_v2_sparse_classes_36k_train_028688 | 1,572 | no_license | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Cost function.",
"name": "cost",
"signature": "def cost(self, x)"
},
{
"docstring": "Grad function.",
"name": "grad",
"signature": "def grad(self, x)"
},
{
"doc... | 4 | stack_v2_sparse_classes_30k_train_002918 | Implement the Python class `ThreeHumpCamel` described below.
Class description:
Three Hump Camel Function.
Method signatures and docstrings:
- def __init__(self): Constructor.
- def cost(self, x): Cost function.
- def grad(self, x): Grad function.
- def hess(self, x): Hess function. | Implement the Python class `ThreeHumpCamel` described below.
Class description:
Three Hump Camel Function.
Method signatures and docstrings:
- def __init__(self): Constructor.
- def cost(self, x): Cost function.
- def grad(self, x): Grad function.
- def hess(self, x): Hess function.
<|skeleton|>
class ThreeHumpCamel... | f2a74df3ab01ac35ea8d80569da909ffa1e86af3 | <|skeleton|>
class ThreeHumpCamel:
"""Three Hump Camel Function."""
def __init__(self):
"""Constructor."""
<|body_0|>
def cost(self, x):
"""Cost function."""
<|body_1|>
def grad(self, x):
"""Grad function."""
<|body_2|>
def hess(self, x):
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ThreeHumpCamel:
"""Three Hump Camel Function."""
def __init__(self):
"""Constructor."""
self.min = np.array([0.0, 0.0])
self.value = 0.0
self.domain = np.array([[-5.0, 5.0], [-5.0, 5.0]])
self.n = 2
self.smooth = True
self.info = [True, True, True]
... | the_stack_v2_python_sparse | ctf/functions2d/three_hump_camel.py | cntaylor/ctf | train | 1 |
d5a55efd4830497d20281ac9a049b8c32ce863c2 | [
"data = {'ok': False, 'message': exception.message}\nresult = dumps(data) + '\\n'\nresp = make_response(result, exception.code)\nresp.headers['Content-Type'] = self.content_type\nreturn resp",
"method = getattr(self, request.method.lower(), None)\nif method is None and request.method == 'HEAD':\n method = geta... | <|body_start_0|>
data = {'ok': False, 'message': exception.message}
result = dumps(data) + '\n'
resp = make_response(result, exception.code)
resp.headers['Content-Type'] = self.content_type
return resp
<|end_body_0|>
<|body_start_1|>
method = getattr(self, request.method... | 自定义 View 类 json 序列化，异常处理，装饰器支持 | RestView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestView:
"""自定义 View 类 json 序列化，异常处理，装饰器支持"""
def handler_error(self, exception):
"""处理异常"""
<|body_0|>
def dispatch_request(self, *args, **kwargs):
"""重写父类方法，支持数据自动序列化"""
<|body_1|>
def unpack(value):
"""解析视图方法返回值"""
<|body_2|>
<|e... | stack_v2_sparse_classes_36k_train_028689 | 3,102 | permissive | [
{
"docstring": "处理异常",
"name": "handler_error",
"signature": "def handler_error(self, exception)"
},
{
"docstring": "重写父类方法，支持数据自动序列化",
"name": "dispatch_request",
"signature": "def dispatch_request(self, *args, **kwargs)"
},
{
"docstring": "解析视图方法返回值",
"name": "unpack",
... | 3 | stack_v2_sparse_classes_30k_train_004890 | Implement the Python class `RestView` described below.
Class description:
自定义 View 类 json 序列化，异常处理，装饰器支持
Method signatures and docstrings:
- def handler_error(self, exception): 处理异常
- def dispatch_request(self, *args, **kwargs): 重写父类方法，支持数据自动序列化
- def unpack(value): 解析视图方法返回值 | Implement the Python class `RestView` described below.
Class description:
自定义 View 类 json 序列化，异常处理，装饰器支持
Method signatures and docstrings:
- def handler_error(self, exception): 处理异常
- def dispatch_request(self, *args, **kwargs): 重写父类方法，支持数据自动序列化
- def unpack(value): 解析视图方法返回值
<|skeleton|>
class RestView:
"""自定义 ... | 655bb48711537efb7856a50dcab55f2380ea127a | <|skeleton|>
class RestView:
"""自定义 View 类 json 序列化，异常处理，装饰器支持"""
def handler_error(self, exception):
"""处理异常"""
<|body_0|>
def dispatch_request(self, *args, **kwargs):
"""重写父类方法，支持数据自动序列化"""
<|body_1|>
def unpack(value):
"""解析视图方法返回值"""
<|body_2|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RestView:
"""自定义 View 类 json 序列化，异常处理，装饰器支持"""
def handler_error(self, exception):
"""处理异常"""
data = {'ok': False, 'message': exception.message}
result = dumps(data) + '\n'
resp = make_response(result, exception.code)
resp.headers['Content-Type'] = self.content_typ... | the_stack_v2_python_sparse | rmon/common/rest.py | lvsoso/rmon | train | 0 |
3738d7458510fbd7d475de636ce435bcc2c8b73d | [
"settings.addListsToRepository('skeinforge_tools.analyze_plugins.skeinview.html', '', self)\nself.fileNameInput = settings.FileNameInput().getFromFileName([('Gcode text files', '*.gcode')], 'Open File to Skeinview', self, '')\nself.openWikiManualHelpPage = settings.HelpPage().getOpenFromAbsolute('http://www.bitsfro... | <|body_start_0|>
settings.addListsToRepository('skeinforge_tools.analyze_plugins.skeinview.html', '', self)
self.fileNameInput = settings.FileNameInput().getFromFileName([('Gcode text files', '*.gcode')], 'Open File to Skeinview', self, '')
self.openWikiManualHelpPage = settings.HelpPage().getOp... | A class to handle the skeinview settings. | SkeinviewRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SkeinviewRepository:
"""A class to handle the skeinview settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Write button has been clicked."""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_028690 | 27,017 | no_license | [
{
"docstring": "Set the default settings, execute title & settings fileName.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Write button has been clicked.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | null | Implement the Python class `SkeinviewRepository` described below.
Class description:
A class to handle the skeinview settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Write button has been clicked. | Implement the Python class `SkeinviewRepository` described below.
Class description:
A class to handle the skeinview settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Write button has been clicked.
<|skeleton|>
class Sk... | fd69d8e856780c826386dc973ceabcc03623f3e8 | <|skeleton|>
class SkeinviewRepository:
"""A class to handle the skeinview settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Write button has been clicked."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SkeinviewRepository:
"""A class to handle the skeinview settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
settings.addListsToRepository('skeinforge_tools.analyze_plugins.skeinview.html', '', self)
self.fileNameInput = settings.File... | the_stack_v2_python_sparse | skeinforge_tools/analyze_plugins/skeinview.py | bmander/skeinforge | train | 34 |
a1c7738a20bfac9a155142396f8be911c4bde380 | [
"concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to update.')]).AddToParser(parser)\nreplications_flags.AddReplicationVolumeArg(parser)\nreplications_flags.AddReplicationReplicationScheduleArg(parser, required=False)\nflags.AddResourceAsyncFlag(parser)\nflags.AddResourceDescript... | <|body_start_0|>
concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to update.')]).AddToParser(parser)
replications_flags.AddReplicationVolumeArg(parser)
replications_flags.AddReplicationReplicationScheduleArg(parser, required=False)
flags.AddResourceAsy... | Update a Cloud NetApp Volume Replication. | Update | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Update:
"""Update a Cloud NetApp Volume Replication."""
def Args(parser):
"""Add args for updating a Replication."""
<|body_0|>
def Run(self, args):
"""Update a Cloud NetApp Volume Replication in the current project."""
<|body_1|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_028691 | 4,645 | permissive | [
{
"docstring": "Add args for updating a Replication.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring": "Update a Cloud NetApp Volume Replication in the current project.",
"name": "Run",
"signature": "def Run(self, args)"
}
] | 2 | null | Implement the Python class `Update` described below.
Class description:
Update a Cloud NetApp Volume Replication.
Method signatures and docstrings:
- def Args(parser): Add args for updating a Replication.
- def Run(self, args): Update a Cloud NetApp Volume Replication in the current project. | Implement the Python class `Update` described below.
Class description:
Update a Cloud NetApp Volume Replication.
Method signatures and docstrings:
- def Args(parser): Add args for updating a Replication.
- def Run(self, args): Update a Cloud NetApp Volume Replication in the current project.
<|skeleton|>
class Updat... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class Update:
"""Update a Cloud NetApp Volume Replication."""
def Args(parser):
"""Add args for updating a Replication."""
<|body_0|>
def Run(self, args):
"""Update a Cloud NetApp Volume Replication in the current project."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Update:
"""Update a Cloud NetApp Volume Replication."""
def Args(parser):
"""Add args for updating a Replication."""
concept_parsers.ConceptParser([flags.GetReplicationPresentationSpec('The Replication to update.')]).AddToParser(parser)
replications_flags.AddReplicationVolumeArg(p... | the_stack_v2_python_sparse | lib/surface/netapp/volumes/replications/update.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
3505f4923bd00babdac466dac702d10ef371021c | [
"if not isinstance(detMap, pfs.datamodel.SplinedDetectorMap):\n raise RuntimeError(f'Wrong type: {detMap}')\nbbox = detMap.box.toLsst()\ncenterKnots = [ss.knots for ss in detMap.xSplines]\ncenterValues = [ss.values for ss in detMap.xSplines]\nwavelengthKnots = [ss.knots for ss in detMap.wavelengthSplines]\nwavel... | <|body_start_0|>
if not isinstance(detMap, pfs.datamodel.SplinedDetectorMap):
raise RuntimeError(f'Wrong type: {detMap}')
bbox = detMap.box.toLsst()
centerKnots = [ss.knots for ss in detMap.xSplines]
centerValues = [ss.values for ss in detMap.xSplines]
wavelengthKnots... | SplinedDetectorMap | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SplinedDetectorMap:
def fromDatamodel(cls, detMap):
"""Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel representation of SplinedDetectorMap. Returns ------- self : `pfs.drp.stella.SplinedDetectorMap` drp_stella r... | stack_v2_sparse_classes_36k_train_028692 | 3,045 | no_license | [
{
"docstring": "Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel representation of SplinedDetectorMap. Returns ------- self : `pfs.drp.stella.SplinedDetectorMap` drp_stella representation of SplinedDetectorMap.",
"name": "fromDatamod... | 2 | null | Implement the Python class `SplinedDetectorMap` described below.
Class description:
Implement the SplinedDetectorMap class.
Method signatures and docstrings:
- def fromDatamodel(cls, detMap): Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel re... | Implement the Python class `SplinedDetectorMap` described below.
Class description:
Implement the SplinedDetectorMap class.
Method signatures and docstrings:
- def fromDatamodel(cls, detMap): Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel re... | 85602eea2485ac24e0831046dc74f1b2d1a3d89f | <|skeleton|>
class SplinedDetectorMap:
def fromDatamodel(cls, detMap):
"""Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel representation of SplinedDetectorMap. Returns ------- self : `pfs.drp.stella.SplinedDetectorMap` drp_stella r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SplinedDetectorMap:
def fromDatamodel(cls, detMap):
"""Construct from the pfs.datamodel representation Parameters ---------- detMap : `pfs.datamodel.SplinedDetectorMap` datamodel representation of SplinedDetectorMap. Returns ------- self : `pfs.drp.stella.SplinedDetectorMap` drp_stella representation ... | the_stack_v2_python_sparse | python/pfs/drp/stella/SplinedDetectorMapContinued.py | Subaru-PFS/drp_stella | train | 3 | |
56ef9c3dc71951a7aacce7117f10b88c0eb5c452 | [
"query_params = defaultdict(dict)\nquery_params['path_type'] = path_type.value\nif band_gap:\n query_params.update({'band_gap_min': band_gap[0], 'band_gap_max': band_gap[1]})\nif efermi:\n query_params.update({'efermi_min': efermi[0], 'efermi_max': efermi[1]})\nif magnetic_ordering:\n query_params.update({... | <|body_start_0|>
query_params = defaultdict(dict)
query_params['path_type'] = path_type.value
if band_gap:
query_params.update({'band_gap_min': band_gap[0], 'band_gap_max': band_gap[1]})
if efermi:
query_params.update({'efermi_min': efermi[0], 'efermi_max': efermi... | BandStructureRester | [
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-hdf5",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BandStructureRester:
def search_bandstructure_summary(self, path_type: BSPathType=BSPathType.setyawan_curtarolo, band_gap: Optional[Tuple[float, float]]=None, efermi: Optional[Tuple[float, float]]=None, magnetic_ordering: Optional[Ordering]=None, is_gap_direct: bool=None, is_metal: bool=None, so... | stack_v2_sparse_classes_36k_train_028693 | 14,062 | permissive | [
{
"docstring": "Query band structure summary data in electronic structure docs using a variety of search criteria. Arguments: path_type (BSPathType): k-path selection convention for the band structure. band_gap (Tuple[float,float]): Minimum and maximum band gap in eV to consider. efermi (Tuple[float,float]): Mi... | 3 | stack_v2_sparse_classes_30k_train_020250 | Implement the Python class `BandStructureRester` described below.
Class description:
Implement the BandStructureRester class.
Method signatures and docstrings:
- def search_bandstructure_summary(self, path_type: BSPathType=BSPathType.setyawan_curtarolo, band_gap: Optional[Tuple[float, float]]=None, efermi: Optional[T... | Implement the Python class `BandStructureRester` described below.
Class description:
Implement the BandStructureRester class.
Method signatures and docstrings:
- def search_bandstructure_summary(self, path_type: BSPathType=BSPathType.setyawan_curtarolo, band_gap: Optional[Tuple[float, float]]=None, efermi: Optional[T... | e2dc71934baecd1a85621f7f7f6ff85f96cbd684 | <|skeleton|>
class BandStructureRester:
def search_bandstructure_summary(self, path_type: BSPathType=BSPathType.setyawan_curtarolo, band_gap: Optional[Tuple[float, float]]=None, efermi: Optional[Tuple[float, float]]=None, magnetic_ordering: Optional[Ordering]=None, is_gap_direct: bool=None, is_metal: bool=None, so... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BandStructureRester:
def search_bandstructure_summary(self, path_type: BSPathType=BSPathType.setyawan_curtarolo, band_gap: Optional[Tuple[float, float]]=None, efermi: Optional[Tuple[float, float]]=None, magnetic_ordering: Optional[Ordering]=None, is_gap_direct: bool=None, is_metal: bool=None, sort_field: Opti... | the_stack_v2_python_sparse | src/mp_api/routes/electronic_structure/client.py | hhaoyan/api | train | 0 | |
aacc938aa8b2bf3924693cf4d29bc212a8cfc314 | [
"try:\n from config_parser import config_parser\n self.conf_file = current_file_path + '/../../conf/appviewx.conf'\n self.conf_data = config_parser(self.conf_file)\n self.hostname = socket.gethostbyname(socket.gethostname())\n self.path = self.conf_data['ENVIRONMENT']['path'][self.conf_data['ENVIRONM... | <|body_start_0|>
try:
from config_parser import config_parser
self.conf_file = current_file_path + '/../../conf/appviewx.conf'
self.conf_data = config_parser(self.conf_file)
self.hostname = socket.gethostbyname(socket.gethostname())
self.path = self.co... | Class to initialize Log4jelk. | Log4jelk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Log4jelk:
"""Class to initialize Log4jelk."""
def __init__(self):
"""Init function for Log4jelk."""
<|body_0|>
def find_and_replace(filename, partial, replacement):
"""."""
<|body_1|>
def web_log4jelk(self):
"""."""
<|body_2|>
de... | stack_v2_sparse_classes_36k_train_028694 | 3,798 | no_license | [
{
"docstring": "Init function for Log4jelk.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ".",
"name": "find_and_replace",
"signature": "def find_and_replace(filename, partial, replacement)"
},
{
"docstring": ".",
"name": "web_log4jelk",
"signa... | 4 | stack_v2_sparse_classes_30k_train_013141 | Implement the Python class `Log4jelk` described below.
Class description:
Class to initialize Log4jelk.
Method signatures and docstrings:
- def __init__(self): Init function for Log4jelk.
- def find_and_replace(filename, partial, replacement): .
- def web_log4jelk(self): .
- def initialize(self, component): . | Implement the Python class `Log4jelk` described below.
Class description:
Class to initialize Log4jelk.
Method signatures and docstrings:
- def __init__(self): Init function for Log4jelk.
- def find_and_replace(filename, partial, replacement): .
- def web_log4jelk(self): .
- def initialize(self, component): .
<|skel... | e513224364dce05ea4d17ac25ecfa981238b1311 | <|skeleton|>
class Log4jelk:
"""Class to initialize Log4jelk."""
def __init__(self):
"""Init function for Log4jelk."""
<|body_0|>
def find_and_replace(filename, partial, replacement):
"""."""
<|body_1|>
def web_log4jelk(self):
"""."""
<|body_2|>
de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Log4jelk:
"""Class to initialize Log4jelk."""
def __init__(self):
"""Init function for Log4jelk."""
try:
from config_parser import config_parser
self.conf_file = current_file_path + '/../../conf/appviewx.conf'
self.conf_data = config_parser(self.conf_fi... | the_stack_v2_python_sparse | scripts_avx/scripts/scripts/Commons/log4j_elk.py | Poonammahunta/Integration | train | 0 |
5bb8e80b26a31ade95dc92363750d788d32e1277 | [
"name = self.__class__.__name__\nsuper().__init__(name=name)\nself.window = intial_view\nself.home_view = self.window",
"assert isinstance(self.layout, GridLayout)\nwidgets = self.layout.widgets\ndel widgets[self.window]\nself.window = view\nself.layout.place(content=view)\nawait self.refresh_layout()"
] | <|body_start_0|>
name = self.__class__.__name__
super().__init__(name=name)
self.window = intial_view
self.home_view = self.window
<|end_body_0|>
<|body_start_1|>
assert isinstance(self.layout, GridLayout)
widgets = self.layout.widgets
del widgets[self.window]
... | A subclass of textual.widgets.ScrollView | JenkinsScrollView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JenkinsScrollView:
"""A subclass of textual.widgets.ScrollView"""
def __init__(self, intial_view: View) -> None:
"""Initialises a new custom ScrollView instance."""
<|body_0|>
async def update(self, view: View) -> None:
"""Update the content area of the grid view... | stack_v2_sparse_classes_36k_train_028695 | 1,260 | permissive | [
{
"docstring": "Initialises a new custom ScrollView instance.",
"name": "__init__",
"signature": "def __init__(self, intial_view: View) -> None"
},
{
"docstring": "Update the content area of the grid view that backs ScrollView. Args: view (View): The view that will replace the current one assign... | 2 | stack_v2_sparse_classes_30k_train_001631 | Implement the Python class `JenkinsScrollView` described below.
Class description:
A subclass of textual.widgets.ScrollView
Method signatures and docstrings:
- def __init__(self, intial_view: View) -> None: Initialises a new custom ScrollView instance.
- async def update(self, view: View) -> None: Update the content ... | Implement the Python class `JenkinsScrollView` described below.
Class description:
A subclass of textual.widgets.ScrollView
Method signatures and docstrings:
- def __init__(self, intial_view: View) -> None: Initialises a new custom ScrollView instance.
- async def update(self, view: View) -> None: Update the content ... | 4270f9e64e6eb58f42e150ef13d478f2e0b2a26a | <|skeleton|>
class JenkinsScrollView:
"""A subclass of textual.widgets.ScrollView"""
def __init__(self, intial_view: View) -> None:
"""Initialises a new custom ScrollView instance."""
<|body_0|>
async def update(self, view: View) -> None:
"""Update the content area of the grid view... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JenkinsScrollView:
"""A subclass of textual.widgets.ScrollView"""
def __init__(self, intial_view: View) -> None:
"""Initialises a new custom ScrollView instance."""
name = self.__class__.__name__
super().__init__(name=name)
self.window = intial_view
self.home_view ... | the_stack_v2_python_sparse | src/jenkins_tui/views/scroll_view.py | aegp17/jenkins-tui | train | 0 |
06187c02b36039b69d67b96df26d6161fbd02248 | [
"n = len(ratings)\nres = [1] * n\nmin_index = ratings.index(min(ratings))\nfor i in range(min_index + 1, n):\n if ratings[i] > ratings[i - 1]:\n res[i] = res[i - 1] + 1\n else:\n j = i\n while ratings[j] < ratings[j - 1]:\n res[j - 1] = max(res[j - 1], res[j] + 1)\n ... | <|body_start_0|>
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[i] > ratings[i - 1]:
res[i] = res[i - 1] + 1
else:
j = i
while ratings[j] < ratings... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_36k_train_028696 | 2,881 | no_license | [
{
"docstring": "和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int",
"name": "candy",
"signature": "def candy(self, ratings)"
},
{
"docstring": "先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tmp[i]和tmp[i+1]+1，如果... | 2 | stack_v2_sparse_classes_30k_train_005529 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[... | the_stack_v2_python_sparse | 135_分发糖果.py | lovehhf/LeetCode | train | 0 | |
8f99934e8c9ed80face8aa61c7333fcb79bef74c | [
"super(Constructor, self).__init__()\nself.shell_loader = shell_loader\nself.abstract_loader = abstract_loader",
"shell_cls = self.shell_loader()\nshell_obj = shell_cls()\nabstract_loader = self.abstract_loader\nif abstract_loader is not None:\n abstract_obj = abstract_loader()()\n shell_obj.abstract_obj = ... | <|body_start_0|>
super(Constructor, self).__init__()
self.shell_loader = shell_loader
self.abstract_loader = abstract_loader
<|end_body_0|>
<|body_start_1|>
shell_cls = self.shell_loader()
shell_obj = shell_cls()
abstract_loader = self.abstract_loader
if abstract... | An EnamlFactory subclass; instances of which are used to populate a toolkit. | Constructor | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Constructor:
"""An EnamlFactory subclass; instances of which are used to populate a toolkit."""
def __init__(self, shell_loader, abstract_loader=None):
"""Initialize a constructor instance. Parameters ---------- shell_loader : Callable A callable object which returns the shell class ... | stack_v2_sparse_classes_36k_train_028697 | 2,189 | permissive | [
{
"docstring": "Initialize a constructor instance. Parameters ---------- shell_loader : Callable A callable object which returns the shell class to use for the widget. abstract_loader : Callable, optional A callable object which returns the abstract implementation class to use for the widget. If None, then it's... | 3 | null | Implement the Python class `Constructor` described below.
Class description:
An EnamlFactory subclass; instances of which are used to populate a toolkit.
Method signatures and docstrings:
- def __init__(self, shell_loader, abstract_loader=None): Initialize a constructor instance. Parameters ---------- shell_loader : ... | Implement the Python class `Constructor` described below.
Class description:
An EnamlFactory subclass; instances of which are used to populate a toolkit.
Method signatures and docstrings:
- def __init__(self, shell_loader, abstract_loader=None): Initialize a constructor instance. Parameters ---------- shell_loader : ... | 96828b254ac9fdfa2e5b6b31eff93a4933cbc0aa | <|skeleton|>
class Constructor:
"""An EnamlFactory subclass; instances of which are used to populate a toolkit."""
def __init__(self, shell_loader, abstract_loader=None):
"""Initialize a constructor instance. Parameters ---------- shell_loader : Callable A callable object which returns the shell class ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Constructor:
"""An EnamlFactory subclass; instances of which are used to populate a toolkit."""
def __init__(self, shell_loader, abstract_loader=None):
"""Initialize a constructor instance. Parameters ---------- shell_loader : Callable A callable object which returns the shell class to use for th... | the_stack_v2_python_sparse | enaml/core/constructor.py | agrawalprash/enaml | train | 0 |
307d5f3028fa8ec1ee674a919d3409e048db95bf | [
"ak = input('请输入API Key:').strip()\nsk = input('请输入Secret Key:').strip()\nbaidu_ai = BAIDU_AI(ak=ak, sk=sk)\nwhile True:\n temp = self.Check_AS(baidu_ai=baidu_ai)\n if temp == 1:\n break\n elif temp == -1:\n print('API Key错误')\n baidu_ai.Ak = input('请重新输入API Key:').strip()\n con... | <|body_start_0|>
ak = input('请输入API Key:').strip()
sk = input('请输入Secret Key:').strip()
baidu_ai = BAIDU_AI(ak=ak, sk=sk)
while True:
temp = self.Check_AS(baidu_ai=baidu_ai)
if temp == 1:
break
elif temp == -1:
print('AP... | 百度AI验证类 | BAIDU_AI_Verify | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BAIDU_AI_Verify:
"""百度AI验证类"""
def Verify(self) -> BAIDU_AI:
"""Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI"""
<|body_0|>
def Check_AS(cls, baidu_ai: BAIDU_AI) -> int:
"""Check_AS(baidu_ai: BAIDU_AI) -> int 检查API Key、Secret Key是否有效 Args: baidu_ai: 百度AI Returns: 1: ... | stack_v2_sparse_classes_36k_train_028698 | 2,061 | permissive | [
{
"docstring": "Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI",
"name": "Verify",
"signature": "def Verify(self) -> BAIDU_AI"
},
{
"docstring": "Check_AS(baidu_ai: BAIDU_AI) -> int 检查API Key、Secret Key是否有效 Args: baidu_ai: 百度AI Returns: 1: 有效 -1: API Key 无效 -2: Secret Key 无效",
"name": "Check_AS",... | 2 | null | Implement the Python class `BAIDU_AI_Verify` described below.
Class description:
百度AI验证类
Method signatures and docstrings:
- def Verify(self) -> BAIDU_AI: Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI
- def Check_AS(cls, baidu_ai: BAIDU_AI) -> int: Check_AS(baidu_ai: BAIDU_AI) -> int 检查API Key、Secret Key是否有效 Args: baidu_... | Implement the Python class `BAIDU_AI_Verify` described below.
Class description:
百度AI验证类
Method signatures and docstrings:
- def Verify(self) -> BAIDU_AI: Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI
- def Check_AS(cls, baidu_ai: BAIDU_AI) -> int: Check_AS(baidu_ai: BAIDU_AI) -> int 检查API Key、Secret Key是否有效 Args: baidu_... | 9e2a023917b86460fb02984aed9fe638c3d38dd4 | <|skeleton|>
class BAIDU_AI_Verify:
"""百度AI验证类"""
def Verify(self) -> BAIDU_AI:
"""Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI"""
<|body_0|>
def Check_AS(cls, baidu_ai: BAIDU_AI) -> int:
"""Check_AS(baidu_ai: BAIDU_AI) -> int 检查API Key、Secret Key是否有效 Args: baidu_ai: 百度AI Returns: 1: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BAIDU_AI_Verify:
"""百度AI验证类"""
def Verify(self) -> BAIDU_AI:
"""Verify() -> BAIDU_AI 验证 Returns: BAIDU_AI"""
ak = input('请输入API Key:').strip()
sk = input('请输入Secret Key:').strip()
baidu_ai = BAIDU_AI(ak=ak, sk=sk)
while True:
temp = self.Check_AS(baidu_... | the_stack_v2_python_sparse | inside/Baidu_AI/Baidu_AI_Verify.py | lifansama/learning-power | train | 1 |
fc03807c295a38d09031f06193ca3131d8cd9d21 | [
"new_emp = Employee(*personal_identity)\nregistration_str = new_emp.get_registration_str()\nreturn_value = self.save_object_to_DB('employee', registration_str)\nreturn return_value",
"changed_emp = Employee(*changed_identity)\nchanged_str = changed_emp.get_changes_registration_str()\nreturn_value = self.change_ob... | <|body_start_0|>
new_emp = Employee(*personal_identity)
registration_str = new_emp.get_registration_str()
return_value = self.save_object_to_DB('employee', registration_str)
return return_value
<|end_body_0|>
<|body_start_1|>
changed_emp = Employee(*changed_identity)
cha... | EmployeeLL | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmployeeLL:
def create_employee(self, personal_identity):
"""Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)"""
<|body_0|>
def change_employee(self, changed_identity):
"""Changes information about... | stack_v2_sparse_classes_36k_train_028699 | 2,878 | no_license | [
{
"docstring": "Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)",
"name": "create_employee",
"signature": "def create_employee(self, personal_identity)"
},
{
"docstring": "Changes information about employee, except ssn, name ... | 4 | stack_v2_sparse_classes_30k_train_008578 | Implement the Python class `EmployeeLL` described below.
Class description:
Implement the EmployeeLL class.
Method signatures and docstrings:
- def create_employee(self, personal_identity): Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)
- def cha... | Implement the Python class `EmployeeLL` described below.
Class description:
Implement the EmployeeLL class.
Method signatures and docstrings:
- def create_employee(self, personal_identity): Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)
- def cha... | ee2b2e6c1422ebab40e36ed3ed23f6f70ee7adb2 | <|skeleton|>
class EmployeeLL:
def create_employee(self, personal_identity):
"""Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)"""
<|body_0|>
def change_employee(self, changed_identity):
"""Changes information about... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmployeeLL:
def create_employee(self, personal_identity):
"""Creates a new employee and saves to database. personal_identity = ('',ssn,name,address,mobile,email,role,rank,licence)"""
new_emp = Employee(*personal_identity)
registration_str = new_emp.get_registration_str()
return... | the_stack_v2_python_sparse | random code snippets/EmployeeLL_sigurgeir.py | heidars19/3ja-vikna-verkefni | train | 3 |
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