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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bb1aa61f197e545dac1a4ff767ffb7480eb28b33 | [
"for page in range(1, 6):\n page_url = self.url.format(page)\n yield scrapy.Request(url=page_url, callback=self.parse)",
"li_list = response.xpath('//ul[@class=\"carlist clearfix js-top\"]/li')\nfor li in li_list:\n item = GuaziItem()\n item['title'] = li.xpath('./a/@title').get()\n item['price'] =... | <|body_start_0|>
for page in range(1, 6):
page_url = self.url.format(page)
yield scrapy.Request(url=page_url, callback=self.parse)
<|end_body_0|>
<|body_start_1|>
li_list = response.xpath('//ul[@class="carlist clearfix js-top"]/li')
for li in li_list:
item = ... | GuaziSpider | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GuaziSpider:
def start_requests(self):
"""生成所有要抓取的URL地址,一次性交给调度器如队列"""
<|body_0|>
def parse(self, response):
"""一级页面解析函数: 名称、价格、链接"""
<|body_1|>
def parse_second_page(self, response):
"""二级页面解析函数:里程、排量、变速箱"""
<|body_2|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_003200 | 2,329 | permissive | [
{
"docstring": "生成所有要抓取的URL地址,一次性交给调度器如队列",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "一级页面解析函数: 名称、价格、链接",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "二级页面解析函数:里程、排量、变速箱",
"name": "parse_second_page",... | 3 | stack_v2_sparse_classes_30k_train_023037 | Implement the Python class `GuaziSpider` described below.
Class description:
Implement the GuaziSpider class.
Method signatures and docstrings:
- def start_requests(self): 生成所有要抓取的URL地址,一次性交给调度器如队列
- def parse(self, response): 一级页面解析函数: 名称、价格、链接
- def parse_second_page(self, response): 二级页面解析函数:里程、排量、变速箱 | Implement the Python class `GuaziSpider` described below.
Class description:
Implement the GuaziSpider class.
Method signatures and docstrings:
- def start_requests(self): 生成所有要抓取的URL地址,一次性交给调度器如队列
- def parse(self, response): 一级页面解析函数: 名称、价格、链接
- def parse_second_page(self, response): 二级页面解析函数:里程、排量、变速箱
<|skeleton|... | abe983ddc52690f4726cf42cc6390cba815026d8 | <|skeleton|>
class GuaziSpider:
def start_requests(self):
"""生成所有要抓取的URL地址,一次性交给调度器如队列"""
<|body_0|>
def parse(self, response):
"""一级页面解析函数: 名称、价格、链接"""
<|body_1|>
def parse_second_page(self, response):
"""二级页面解析函数:里程、排量、变速箱"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GuaziSpider:
def start_requests(self):
"""生成所有要抓取的URL地址,一次性交给调度器如队列"""
for page in range(1, 6):
page_url = self.url.format(page)
yield scrapy.Request(url=page_url, callback=self.parse)
def parse(self, response):
"""一级页面解析函数: 名称、价格、链接"""
li_list = re... | the_stack_v2_python_sparse | month05/spider/day07_course/day07_code/Guazi/Guazi/spiders/guazi.py | chaofan-zheng/tedu-python-demo | train | 4 | |
ba673a5211d0569b5aadd295db90d517f2387b26 | [
"if pretty:\n return self.as_dict(as_json_pretty=True)\nreturn self.as_dict(as_json=True)",
"as_json = kwargs.get('as_json', False)\nas_json_pretty = kwargs.get('as_json_pretty', False)\nod = OrderedDict()\nfor param in self.FIELDS_TO_SERIALIZE:\n od[param] = self.__dict__.get(param)\nif as_json:\n retur... | <|body_start_0|>
if pretty:
return self.as_dict(as_json_pretty=True)
return self.as_dict(as_json=True)
<|end_body_0|>
<|body_start_1|>
as_json = kwargs.get('as_json', False)
as_json_pretty = kwargs.get('as_json_pretty', False)
od = OrderedDict()
for param in ... | New user class to hold extra attributes in the future | User | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
"""New user class to hold extra attributes in the future"""
def as_json(self, pretty=False):
"""Return as a JSON string"""
<|body_0|>
def as_dict(self, **kwargs):
"""Return as an OrderedDict"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_003201 | 1,223 | permissive | [
{
"docstring": "Return as a JSON string",
"name": "as_json",
"signature": "def as_json(self, pretty=False)"
},
{
"docstring": "Return as an OrderedDict",
"name": "as_dict",
"signature": "def as_dict(self, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_028176 | Implement the Python class `User` described below.
Class description:
New user class to hold extra attributes in the future
Method signatures and docstrings:
- def as_json(self, pretty=False): Return as a JSON string
- def as_dict(self, **kwargs): Return as an OrderedDict | Implement the Python class `User` described below.
Class description:
New user class to hold extra attributes in the future
Method signatures and docstrings:
- def as_json(self, pretty=False): Return as a JSON string
- def as_dict(self, **kwargs): Return as an OrderedDict
<|skeleton|>
class User:
"""New user cla... | e5f820557d6646df525ceed15e17d79f4159cf0a | <|skeleton|>
class User:
"""New user class to hold extra attributes in the future"""
def as_json(self, pretty=False):
"""Return as a JSON string"""
<|body_0|>
def as_dict(self, **kwargs):
"""Return as an OrderedDict"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class User:
"""New user class to hold extra attributes in the future"""
def as_json(self, pretty=False):
"""Return as a JSON string"""
if pretty:
return self.as_dict(as_json_pretty=True)
return self.as_dict(as_json=True)
def as_dict(self, **kwargs):
"""Return as... | the_stack_v2_python_sparse | tworaven_apps/raven_auth/models.py | TwoRavens/TwoRavens | train | 21 |
18d06109c15b51173d876e3369f003a6570b10cc | [
"super(NodeEncoder, self).__init__()\nself.feat_enc = feat_enc\nself.pos_enc = pos_enc\nself.agg_type = agg_type\nif feat_enc is None and pos_enc is None:\n raise Exception('pos_enc and feat_enc are both None!!')",
"if self.feat_enc is not None and self.pos_enc is not None:\n feat_embeds = self.feat_enc(nod... | <|body_start_0|>
super(NodeEncoder, self).__init__()
self.feat_enc = feat_enc
self.pos_enc = pos_enc
self.agg_type = agg_type
if feat_enc is None and pos_enc is None:
raise Exception('pos_enc and feat_enc are both None!!')
<|end_body_0|>
<|body_start_1|>
if s... | This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc | NodeEncoder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NodeEncoder:
"""This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc"""
def __init__(self, feat_enc, pos_enc, agg_type='add'):
"""Args: feat_enc:feature encoder pos_enc: posit... | stack_v2_sparse_classes_75kplus_train_003202 | 34,194 | permissive | [
{
"docstring": "Args: feat_enc:feature encoder pos_enc: position encoder agg_type: how to combine the feature embedding and space embedding of a node/entity",
"name": "__init__",
"signature": "def __init__(self, feat_enc, pos_enc, agg_type='add')"
},
{
"docstring": "Args: nodes: a list of node i... | 2 | null | Implement the Python class `NodeEncoder` described below.
Class description:
This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc
Method signatures and docstrings:
- def __init__(self, feat_enc, pos_enc, agg_t... | Implement the Python class `NodeEncoder` described below.
Class description:
This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc
Method signatures and docstrings:
- def __init__(self, feat_enc, pos_enc, agg_t... | 0e5a630a8403d4c7965de0f71e2e22b95f7be7bd | <|skeleton|>
class NodeEncoder:
"""This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc"""
def __init__(self, feat_enc, pos_enc, agg_type='add'):
"""Args: feat_enc:feature encoder pos_enc: posit... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NodeEncoder:
"""This is the encoder for each entity or node which has two components" 1. feature encoder (DirectEncoder): feat_enc 2. position encoder (PositionEncoder): pos_enc"""
def __init__(self, feat_enc, pos_enc, agg_type='add'):
"""Args: feat_enc:feature encoder pos_enc: position encoder a... | the_stack_v2_python_sparse | graphqa/netquery/encoders.py | Moon-xm/se-kge | train | 0 |
af5ca28ac889d8321da129af9eab0dcfea02551f | [
"plugin_meta = self.get_object()\nrequest.data['name'] = plugin_meta.name\nrequest.data.pop('title', None)\nrequest.data.pop('license', None)\nrequest.data.pop('type', None)\nrequest.data.pop('icon', None)\nrequest.data.pop('category', None)\nrequest.data.pop('authors', None)\nrequest.data.pop('documentation', None... | <|body_start_0|>
plugin_meta = self.get_object()
request.data['name'] = plugin_meta.name
request.data.pop('title', None)
request.data.pop('license', None)
request.data.pop('type', None)
request.data.pop('icon', None)
request.data.pop('category', None)
requ... | A plugin meta view. | PluginMetaDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PluginMetaDetail:
"""A plugin meta view."""
def update(self, request, *args, **kwargs):
"""Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation."""
<|body_0|>
def retrieve(self, request, *args, **kwargs):
""... | stack_v2_sparse_classes_75kplus_train_003203 | 13,541 | permissive | [
{
"docstring": "Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation.",
"name": "update",
"signature": "def update(self, request, *args, **kwargs)"
},
{
"docstring": "Overriden to append a collection+json template.",
"name": "retrieve",... | 2 | stack_v2_sparse_classes_30k_train_007676 | Implement the Python class `PluginMetaDetail` described below.
Class description:
A plugin meta view.
Method signatures and docstrings:
- def update(self, request, *args, **kwargs): Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation.
- def retrieve(self, reque... | Implement the Python class `PluginMetaDetail` described below.
Class description:
A plugin meta view.
Method signatures and docstrings:
- def update(self, request, *args, **kwargs): Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation.
- def retrieve(self, reque... | 5ffacfdfc8e6cedbee3d43fef3778973439c1367 | <|skeleton|>
class PluginMetaDetail:
"""A plugin meta view."""
def update(self, request, *args, **kwargs):
"""Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation."""
<|body_0|>
def retrieve(self, request, *args, **kwargs):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PluginMetaDetail:
"""A plugin meta view."""
def update(self, request, *args, **kwargs):
"""Overriden to remove descriptors that are not allowed to be updated before the serializer performs validation."""
plugin_meta = self.get_object()
request.data['name'] = plugin_meta.name
... | the_stack_v2_python_sparse | store_backend/plugins/views.py | FNNDSC/ChRIS_store | train | 16 |
8b2f365dc23da70e324d160267952ea3c4a488cb | [
"super(CloudkittyTest, cls).setUpClass()\ncls.current_release = openstack_utils.get_os_release()\nlogging.info('Instantiating cloudkitty client...')\ncls.cloudkitty = client.Client(CloudkittyTest.API_VERSION, session=cls.keystone_session)",
"rating = self.cloudkitty.rating\nif not rating.get_module(module_id='has... | <|body_start_0|>
super(CloudkittyTest, cls).setUpClass()
cls.current_release = openstack_utils.get_os_release()
logging.info('Instantiating cloudkitty client...')
cls.cloudkitty = client.Client(CloudkittyTest.API_VERSION, session=cls.keystone_session)
<|end_body_0|>
<|body_start_1|>
... | Encapsulate Cloudkitty tests. | CloudkittyTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudkittyTest:
"""Encapsulate Cloudkitty tests."""
def setUpClass(cls):
"""Run class setup for running Cloudkitty tests."""
<|body_0|>
def tearDown(self):
"""Run teardown for test class."""
<|body_1|>
def test_400_api_connection(self):
"""Si... | stack_v2_sparse_classes_75kplus_train_003204 | 4,140 | permissive | [
{
"docstring": "Run class setup for running Cloudkitty tests.",
"name": "setUpClass",
"signature": "def setUpClass(cls)"
},
{
"docstring": "Run teardown for test class.",
"name": "tearDown",
"signature": "def tearDown(self)"
},
{
"docstring": "Simple api calls to check service is... | 5 | stack_v2_sparse_classes_30k_train_035454 | Implement the Python class `CloudkittyTest` described below.
Class description:
Encapsulate Cloudkitty tests.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for running Cloudkitty tests.
- def tearDown(self): Run teardown for test class.
- def test_400_api_connection(self): Simple api calls ... | Implement the Python class `CloudkittyTest` described below.
Class description:
Encapsulate Cloudkitty tests.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for running Cloudkitty tests.
- def tearDown(self): Run teardown for test class.
- def test_400_api_connection(self): Simple api calls ... | 3b17ad9d97c57b6e62797d4e3333e4b83e43a447 | <|skeleton|>
class CloudkittyTest:
"""Encapsulate Cloudkitty tests."""
def setUpClass(cls):
"""Run class setup for running Cloudkitty tests."""
<|body_0|>
def tearDown(self):
"""Run teardown for test class."""
<|body_1|>
def test_400_api_connection(self):
"""Si... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CloudkittyTest:
"""Encapsulate Cloudkitty tests."""
def setUpClass(cls):
"""Run class setup for running Cloudkitty tests."""
super(CloudkittyTest, cls).setUpClass()
cls.current_release = openstack_utils.get_os_release()
logging.info('Instantiating cloudkitty client...')
... | the_stack_v2_python_sparse | zaza/openstack/charm_tests/cloudkitty/tests.py | openstack-charmers/zaza-openstack-tests | train | 7 |
0c947d2de390f62ebf5d9cba02a9bffba8063935 | [
"q = Queue()\nq.enqueue(3)\nself.assertEqual(q.head, q.tail)\nself.assertEqual(q.head.value, 3)",
"q = Queue()\nq.enqueue(3)\nresult = q.dequeue()\nself.assertEqual(result, 3)\nself.assertIsNone(q.head)",
"q = Queue()\nq.enqueue(3)\nq.enqueue(4)\nq.enqueue(5)\nself.assertEqual(q.head.value, 3)\nself.assertEqual... | <|body_start_0|>
q = Queue()
q.enqueue(3)
self.assertEqual(q.head, q.tail)
self.assertEqual(q.head.value, 3)
<|end_body_0|>
<|body_start_1|>
q = Queue()
q.enqueue(3)
result = q.dequeue()
self.assertEqual(result, 3)
self.assertIsNone(q.head)
<|end_... | test_queue_implementation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_queue_implementation:
def test_first_elemnt_of_queue(self):
"""test that after initial enqueue, the head of the Queue is correct"""
<|body_0|>
def test_enqueue_then_dequeue(self):
"""test that after an enqueue a dequeue gives what is expected"""
<|body_1... | stack_v2_sparse_classes_75kplus_train_003205 | 1,023 | no_license | [
{
"docstring": "test that after initial enqueue, the head of the Queue is correct",
"name": "test_first_elemnt_of_queue",
"signature": "def test_first_elemnt_of_queue(self)"
},
{
"docstring": "test that after an enqueue a dequeue gives what is expected",
"name": "test_enqueue_then_dequeue",
... | 4 | stack_v2_sparse_classes_30k_train_033666 | Implement the Python class `test_queue_implementation` described below.
Class description:
Implement the test_queue_implementation class.
Method signatures and docstrings:
- def test_first_elemnt_of_queue(self): test that after initial enqueue, the head of the Queue is correct
- def test_enqueue_then_dequeue(self): t... | Implement the Python class `test_queue_implementation` described below.
Class description:
Implement the test_queue_implementation class.
Method signatures and docstrings:
- def test_first_elemnt_of_queue(self): test that after initial enqueue, the head of the Queue is correct
- def test_enqueue_then_dequeue(self): t... | 7e884adb19b84a2e5960d1b6e81cd926f0b46705 | <|skeleton|>
class test_queue_implementation:
def test_first_elemnt_of_queue(self):
"""test that after initial enqueue, the head of the Queue is correct"""
<|body_0|>
def test_enqueue_then_dequeue(self):
"""test that after an enqueue a dequeue gives what is expected"""
<|body_1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class test_queue_implementation:
def test_first_elemnt_of_queue(self):
"""test that after initial enqueue, the head of the Queue is correct"""
q = Queue()
q.enqueue(3)
self.assertEqual(q.head, q.tail)
self.assertEqual(q.head.value, 3)
def test_enqueue_then_dequeue(self):... | the_stack_v2_python_sparse | questions/linked_lists/queue_test.py | qdonnellan/random_questions | train | 0 | |
e0fcea2a030dfd00d393cca01e27438072f867ab | [
"self.folder_vec = folder_vec\nself.is_entire_mailbox_required = is_entire_mailbox_required\nself.object = object",
"if dictionary is None:\n return None\nfolder_vec = None\nif dictionary.get('folderVec') != None:\n folder_vec = list()\n for structure in dictionary.get('folderVec'):\n folder_vec.a... | <|body_start_0|>
self.folder_vec = folder_vec
self.is_entire_mailbox_required = is_entire_mailbox_required
self.object = object
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
folder_vec = None
if dictionary.get('folderVec') != None:
... | Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify which particular folders are to be restored. is_entire_mailbox_required (bool): Specify if the enti... | RestoreOutlookParams_Mailbox | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestoreOutlookParams_Mailbox:
"""Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify which particular folders are to be restored... | stack_v2_sparse_classes_75kplus_train_003206 | 2,651 | permissive | [
{
"docstring": "Constructor for the RestoreOutlookParams_Mailbox class",
"name": "__init__",
"signature": "def __init__(self, folder_vec=None, is_entire_mailbox_required=None, object=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A di... | 2 | null | Implement the Python class `RestoreOutlookParams_Mailbox` described below.
Class description:
Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify whic... | Implement the Python class `RestoreOutlookParams_Mailbox` described below.
Class description:
Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify whic... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RestoreOutlookParams_Mailbox:
"""Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify which particular folders are to be restored... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RestoreOutlookParams_Mailbox:
"""Implementation of the 'RestoreOutlookParams_Mailbox' model. TODO: type description here. Attributes: folder_vec (list of RestoreOutlookParams_Folder): If is_entire_mailbox_required is set to false, user will then specify which particular folders are to be restored. is_entire_m... | the_stack_v2_python_sparse | cohesity_management_sdk/models/restore_outlook_params_mailbox.py | cohesity/management-sdk-python | train | 24 |
6023aca096afced53e25939605ec0a273972f5f6 | [
"project_id = request.GET.get('project_id')\nlocation_choices = Projects.LOCATION_CHOICES\nproject = ''\nif project_id:\n project = Projects.objects.get(project_id=project_id)\ncontext = {'project': project, 'location_choices': location_choices}\nreturn render(request, 'project/add.html', context)",
"user = re... | <|body_start_0|>
project_id = request.GET.get('project_id')
location_choices = Projects.LOCATION_CHOICES
project = ''
if project_id:
project = Projects.objects.get(project_id=project_id)
context = {'project': project, 'location_choices': location_choices}
retu... | ProjectAddView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectAddView:
def get(self, request):
"""显示页面"""
<|body_0|>
def post(self, request):
"""添加新项目"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
project_id = request.GET.get('project_id')
location_choices = Projects.LOCATION_CHOICES
p... | stack_v2_sparse_classes_75kplus_train_003207 | 17,526 | no_license | [
{
"docstring": "显示页面",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "添加新项目",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | null | Implement the Python class `ProjectAddView` described below.
Class description:
Implement the ProjectAddView class.
Method signatures and docstrings:
- def get(self, request): 显示页面
- def post(self, request): 添加新项目 | Implement the Python class `ProjectAddView` described below.
Class description:
Implement the ProjectAddView class.
Method signatures and docstrings:
- def get(self, request): 显示页面
- def post(self, request): 添加新项目
<|skeleton|>
class ProjectAddView:
def get(self, request):
"""显示页面"""
<|body_0|>
... | 63b214194e019ecf8c89cfc2890c340ef2bf5adf | <|skeleton|>
class ProjectAddView:
def get(self, request):
"""显示页面"""
<|body_0|>
def post(self, request):
"""添加新项目"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectAddView:
def get(self, request):
"""显示页面"""
project_id = request.GET.get('project_id')
location_choices = Projects.LOCATION_CHOICES
project = ''
if project_id:
project = Projects.objects.get(project_id=project_id)
context = {'project': project... | the_stack_v2_python_sparse | apps/project/views.py | pysunny/HPFWMS | train | 0 | |
535f5da35483c84166da689e686287a0887e4e36 | [
"if isinstance(value, str):\n path = epath.Path(value)\n return cls(root_path=path.parent, filenames=[path.name])\nelif isinstance(value, dict):\n return cls(root_path=epath.Path(value['root_path']), filenames=value['filenames'])\nelse:\n raise ValueError(f'Invalid input: {value}')",
"if len(self.file... | <|body_start_0|>
if isinstance(value, str):
path = epath.Path(value)
return cls(root_path=path.parent, filenames=[path.name])
elif isinstance(value, dict):
return cls(root_path=epath.Path(value['root_path']), filenames=value['filenames'])
else:
rai... | Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package | DatasetSource | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'D... | stack_v2_sparse_classes_75kplus_train_003208 | 2,642 | permissive | [
{
"docstring": "Imports from JSON.",
"name": "from_json",
"signature": "def from_json(cls, value: utils.JsonValue) -> 'DatasetSource'"
},
{
"docstring": "Exports to JSON.",
"name": "to_json",
"signature": "def to_json(self) -> utils.JsonValue"
}
] | 2 | stack_v2_sparse_classes_30k_train_020264 | Implement the Python class `DatasetSource` described below.
Class description:
Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package
Method signature... | Implement the Python class `DatasetSource` described below.
Class description:
Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package
Method signature... | 41ae3cf1439711ed2f50f99caa0e6702082e6d37 | <|skeleton|>
class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'D... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DatasetSource:
"""Structure containing information required to fetch a dataset. Attributes: root_path: Root directory of the dataset package (e.g. `gs://.../my_dataset/`, `github://.../my_dataset/`) filenames: Content of the dataset package"""
def from_json(cls, value: utils.JsonValue) -> 'DatasetSource'... | the_stack_v2_python_sparse | tensorflow_datasets/core/community/dataset_sources.py | tensorflow/datasets | train | 4,224 |
8c42522c263eb8d0c4d6be04b4102fab36834681 | [
"args = failed_parser.parse_args()\npage = args['page']\nper_page = args['per_page']\nsort_by = args['sort_by']\nsort_order = args['order']\nif sort_by == 'failure_time':\n sort_by = 'tof'\nif per_page > 100:\n per_page = 100\ndescending = sort_order == 'desc'\nif per_page > 100:\n per_page = 100\nstart = ... | <|body_start_0|>
args = failed_parser.parse_args()
page = args['page']
per_page = args['per_page']
sort_by = args['sort_by']
sort_order = args['order']
if sort_by == 'failure_time':
sort_by = 'tof'
if per_page > 100:
per_page = 100
... | RetryFailed | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RetryFailed:
def get(self, session=None):
"""List all failed entries"""
<|body_0|>
def delete(self, session=None):
"""Clear all failed entries"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
args = failed_parser.parse_args()
page = args['pag... | stack_v2_sparse_classes_75kplus_train_003209 | 4,968 | permissive | [
{
"docstring": "List all failed entries",
"name": "get",
"signature": "def get(self, session=None)"
},
{
"docstring": "Clear all failed entries",
"name": "delete",
"signature": "def delete(self, session=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_044754 | Implement the Python class `RetryFailed` described below.
Class description:
Implement the RetryFailed class.
Method signatures and docstrings:
- def get(self, session=None): List all failed entries
- def delete(self, session=None): Clear all failed entries | Implement the Python class `RetryFailed` described below.
Class description:
Implement the RetryFailed class.
Method signatures and docstrings:
- def get(self, session=None): List all failed entries
- def delete(self, session=None): Clear all failed entries
<|skeleton|>
class RetryFailed:
def get(self, session=... | 2b7e8314d103c94cf4552bd0152699eeca0ad159 | <|skeleton|>
class RetryFailed:
def get(self, session=None):
"""List all failed entries"""
<|body_0|>
def delete(self, session=None):
"""Clear all failed entries"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RetryFailed:
def get(self, session=None):
"""List all failed entries"""
args = failed_parser.parse_args()
page = args['page']
per_page = args['per_page']
sort_by = args['sort_by']
sort_order = args['order']
if sort_by == 'failure_time':
sort_... | the_stack_v2_python_sparse | flexget/components/failed/api.py | BrutuZ/Flexget | train | 1 | |
58ff5b8946f1f6ef460d74c94a0e9ac3d8abc2cc | [
"parser.add_argument('--ip4_ttl', default=21)\nparser.add_argument('--ip4_source_address', default='self', help='eg. a.b.c.d|self|rnd|drnd')\nparser.add_argument('--ip4_destination_address', default='self', help='eg. a.b.c.d|self|rnd|drnd')",
"def process_ip4_address(fields, selector):\n \"\"\"handle self, rnd... | <|body_start_0|>
parser.add_argument('--ip4_ttl', default=21)
parser.add_argument('--ip4_source_address', default='self', help='eg. a.b.c.d|self|rnd|drnd')
parser.add_argument('--ip4_destination_address', default='self', help='eg. a.b.c.d|self|rnd|drnd')
<|end_body_0|>
<|body_start_1|>
... | layer ip4 impl | Ip4 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ip4:
"""layer ip4 impl"""
def parse_arguments(parser):
"""parse arguments"""
<|body_0|>
def process_fields(fields):
"""process input parameters to fields"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
parser.add_argument('--ip4_ttl', default=21... | stack_v2_sparse_classes_75kplus_train_003210 | 10,681 | no_license | [
{
"docstring": "parse arguments",
"name": "parse_arguments",
"signature": "def parse_arguments(parser)"
},
{
"docstring": "process input parameters to fields",
"name": "process_fields",
"signature": "def process_fields(fields)"
}
] | 2 | stack_v2_sparse_classes_30k_train_043391 | Implement the Python class `Ip4` described below.
Class description:
layer ip4 impl
Method signatures and docstrings:
- def parse_arguments(parser): parse arguments
- def process_fields(fields): process input parameters to fields | Implement the Python class `Ip4` described below.
Class description:
layer ip4 impl
Method signatures and docstrings:
- def parse_arguments(parser): parse arguments
- def process_fields(fields): process input parameters to fields
<|skeleton|>
class Ip4:
"""layer ip4 impl"""
def parse_arguments(parser):
... | dd7129bf323312daa05d0d9fef8ecbacf831029a | <|skeleton|>
class Ip4:
"""layer ip4 impl"""
def parse_arguments(parser):
"""parse arguments"""
<|body_0|>
def process_fields(fields):
"""process input parameters to fields"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Ip4:
"""layer ip4 impl"""
def parse_arguments(parser):
"""parse arguments"""
parser.add_argument('--ip4_ttl', default=21)
parser.add_argument('--ip4_source_address', default='self', help='eg. a.b.c.d|self|rnd|drnd')
parser.add_argument('--ip4_destination_address', default=... | the_stack_v2_python_sparse | tg/tg/layer.py | bodik/ddos-cz2 | train | 2 |
1dac0e13dc3c0201506d2b6a4fdc19dec076e3bd | [
"self.__screen = screen\nself.__dns = DNS()\nself.__hostnameLabel = Label('Hostname')\nself.__primaryDNSLabel = Label('Primary DNS')\nself.__secondaryDNSLabel = Label('Secondary DNS')\nself.__searchListLabel = Label('Search')\nself.__hostname = Entry(15, socket.gethostname())\nself.__primaryDNS = Entry(15, self.__d... | <|body_start_0|>
self.__screen = screen
self.__dns = DNS()
self.__hostnameLabel = Label('Hostname')
self.__primaryDNSLabel = Label('Primary DNS')
self.__secondaryDNSLabel = Label('Secondary DNS')
self.__searchListLabel = Label('Search')
self.__hostname = Entry(15,... | Represents the DNS configuration screen | DNSConfig | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DNSConfig:
"""Represents the DNS configuration screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def __writeConfig(self):
"""Write configuration into the file @rtype: None @returns: no... | stack_v2_sparse_classes_75kplus_train_003211 | 2,694 | no_license | [
{
"docstring": "Constructor @type screen: SnackScreen @param screen: SnackScreen instance",
"name": "__init__",
"signature": "def __init__(self, screen)"
},
{
"docstring": "Write configuration into the file @rtype: None @returns: nothing",
"name": "__writeConfig",
"signature": "def __wri... | 3 | stack_v2_sparse_classes_30k_train_045754 | Implement the Python class `DNSConfig` described below.
Class description:
Represents the DNS configuration screen
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def __writeConfig(self): Write configuration into the file @rty... | Implement the Python class `DNSConfig` described below.
Class description:
Represents the DNS configuration screen
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def __writeConfig(self): Write configuration into the file @rty... | 1c738fd5e6ee3f8fd4f47acf2207038f20868212 | <|skeleton|>
class DNSConfig:
"""Represents the DNS configuration screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def __writeConfig(self):
"""Write configuration into the file @rtype: None @returns: no... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DNSConfig:
"""Represents the DNS configuration screen"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
self.__screen = screen
self.__dns = DNS()
self.__hostnameLabel = Label('Hostname')
self.__primaryDNS... | the_stack_v2_python_sparse | zfrobisher-installer/src/ui/networkcfg/dnsconfig.py | fedosu85nce/work | train | 2 |
dde7513b9bccb6f11d919cb3a193d41bdbeb9f95 | [
"self._input = input\nself._internal = internal\nself._ses = ses",
"if not self._internal:\n exported.write_user_data(self._input)\nexported.lyntin_command(self._input, internal=self._internal, session=self._ses)"
] | <|body_start_0|>
self._input = input
self._internal = internal
self._ses = ses
<|end_body_0|>
<|body_start_1|>
if not self._internal:
exported.write_user_data(self._input)
exported.lyntin_command(self._input, internal=self._internal, session=self._ses)
<|end_body_1|>... | A user input event is created whenever the user types something into their ui and it creates a user event from it. | InputEvent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InputEvent:
"""A user input event is created whenever the user types something into their ui and it creates a user event from it."""
def __init__(self, input, internal=0, ses=None):
"""Initializes the InputEvent. @param input: the data from the user @type input: string @param interna... | stack_v2_sparse_classes_75kplus_train_003212 | 5,535 | no_license | [
{
"docstring": "Initializes the InputEvent. @param input: the data from the user @type input: string @param internal: whether this is an internally generated user input. if it is internally generated then we don't record it in history. 1 if it's internal, 0 if not. @type internal: int @param ses: the session ex... | 2 | null | Implement the Python class `InputEvent` described below.
Class description:
A user input event is created whenever the user types something into their ui and it creates a user event from it.
Method signatures and docstrings:
- def __init__(self, input, internal=0, ses=None): Initializes the InputEvent. @param input: ... | Implement the Python class `InputEvent` described below.
Class description:
A user input event is created whenever the user types something into their ui and it creates a user event from it.
Method signatures and docstrings:
- def __init__(self, input, internal=0, ses=None): Initializes the InputEvent. @param input: ... | 992736c2cb85ffe61f49a4bb6591f3adacd30134 | <|skeleton|>
class InputEvent:
"""A user input event is created whenever the user types something into their ui and it creates a user event from it."""
def __init__(self, input, internal=0, ses=None):
"""Initializes the InputEvent. @param input: the data from the user @type input: string @param interna... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InputEvent:
"""A user input event is created whenever the user types something into their ui and it creates a user event from it."""
def __init__(self, input, internal=0, ses=None):
"""Initializes the InputEvent. @param input: the data from the user @type input: string @param internal: whether th... | the_stack_v2_python_sparse | solutions/event.py | petro-ew/test1 | train | 1 |
34eff110d493729bc093fdc6360311743a742e69 | [
"self.capacity = capacity\nself.entry_map = collections.defaultdict()\nself.L = []\nself.counter = 0",
"if key in self.entry_map:\n entry = self.entry_map[key]\n entry[0] = self.counter\n self.counter += 1\n heapq.heapify(self.L)\n return self.entry_map[key][2]\nreturn -1",
"if len(self.L) < self... | <|body_start_0|>
self.capacity = capacity
self.entry_map = collections.defaultdict()
self.L = []
self.counter = 0
<|end_body_0|>
<|body_start_1|>
if key in self.entry_map:
entry = self.entry_map[key]
entry[0] = self.counter
self.counter += 1
... | LRUCache | [] | 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: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus_train_003213 | 1,901 | no_license | [
{
"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: None",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_013047 | 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: None | 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: None
<|sk... | f05aac9aeadec1febe4c8323849c0a9f07a1fd1c | <|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: None"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.entry_map = collections.defaultdict()
self.L = []
self.counter = 0
def get(self, key):
""":type key: int :rtype: int"""
if key in self.entry_map:
... | the_stack_v2_python_sparse | Problems/Medium/146.LRU_Cache.py | ramakanthd92/LeetCode | train | 2 | |
6db7f3977c51e52ccbd38eb097ee45f4adc4c79f | [
"client_ip, is_routable = get_client_ip(self.request)\nobject = get_object_or_404(ProductionInspection, slug=slug)\nself.check_object_permissions(request, object)\nread_serializer = ProductionInspectionRetrieveSerializer(object, many=False, context={'authenticated_by': request.user, 'authenticated_from': client_ip,... | <|body_start_0|>
client_ip, is_routable = get_client_ip(self.request)
object = get_object_or_404(ProductionInspection, slug=slug)
self.check_object_permissions(request, object)
read_serializer = ProductionInspectionRetrieveSerializer(object, many=False, context={'authenticated_by': reque... | ProductionInspectionRetrieveUpdateAPIView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductionInspectionRetrieveUpdateAPIView:
def get(self, request, slug=None):
"""Retrieve"""
<|body_0|>
def put(self, request, slug=None):
"""Update"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
client_ip, is_routable = get_client_ip(self.request)... | stack_v2_sparse_classes_75kplus_train_003214 | 3,164 | permissive | [
{
"docstring": "Retrieve",
"name": "get",
"signature": "def get(self, request, slug=None)"
},
{
"docstring": "Update",
"name": "put",
"signature": "def put(self, request, slug=None)"
}
] | 2 | null | Implement the Python class `ProductionInspectionRetrieveUpdateAPIView` described below.
Class description:
Implement the ProductionInspectionRetrieveUpdateAPIView class.
Method signatures and docstrings:
- def get(self, request, slug=None): Retrieve
- def put(self, request, slug=None): Update | Implement the Python class `ProductionInspectionRetrieveUpdateAPIView` described below.
Class description:
Implement the ProductionInspectionRetrieveUpdateAPIView class.
Method signatures and docstrings:
- def get(self, request, slug=None): Retrieve
- def put(self, request, slug=None): Update
<|skeleton|>
class Prod... | 98e1ff8bab7dda3492e5ff637bf5aafd111c840c | <|skeleton|>
class ProductionInspectionRetrieveUpdateAPIView:
def get(self, request, slug=None):
"""Retrieve"""
<|body_0|>
def put(self, request, slug=None):
"""Update"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProductionInspectionRetrieveUpdateAPIView:
def get(self, request, slug=None):
"""Retrieve"""
client_ip, is_routable = get_client_ip(self.request)
object = get_object_or_404(ProductionInspection, slug=slug)
self.check_object_permissions(request, object)
read_serializer =... | the_stack_v2_python_sparse | mikaponics/production/views/resource_views/production_inspection_retrieve_update_view.py | mikaponics/mikaponics-back | train | 4 | |
79772a99c2fa4ad12f16ec854d845c14d552a378 | [
"self.assertDirectoryContents(('produce.ini',))\nself.produce('b.txt')\nself.assertDirectoryContents(('produce.ini', 'a.txt', 'b.txt', 'c.txt'))",
"self.assertDirectoryContents(('produce.ini',))\nwith self.assertRaisesRegex(ProduceError, 'cyclic dependency'):\n self.produce('c.txt')\nself.assertDirectoryConten... | <|body_start_0|>
self.assertDirectoryContents(('produce.ini',))
self.produce('b.txt')
self.assertDirectoryContents(('produce.ini', 'a.txt', 'b.txt', 'c.txt'))
<|end_body_0|>
<|body_start_1|>
self.assertDirectoryContents(('produce.ini',))
with self.assertRaisesRegex(ProduceError,... | SoftCycleTest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SoftCycleTest:
def test_soft_cycle_allowed(self):
"""c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the instantiated rule for a.txt). That's fine because the instantiated rule for b.txt doesn't have its own rec... | stack_v2_sparse_classes_75kplus_train_003215 | 1,103 | permissive | [
{
"docstring": "c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the instantiated rule for a.txt). That's fine because the instantiated rule for b.txt doesn't have its own recipe, so there's no clash.",
"name": "test_soft_cycle_allo... | 2 | stack_v2_sparse_classes_30k_train_032135 | Implement the Python class `SoftCycleTest` described below.
Class description:
Implement the SoftCycleTest class.
Method signatures and docstrings:
- def test_soft_cycle_allowed(self): c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the inst... | Implement the Python class `SoftCycleTest` described below.
Class description:
Implement the SoftCycleTest class.
Method signatures and docstrings:
- def test_soft_cycle_allowed(self): c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the inst... | fe4116d063b8820877b9f589e40cae29721511bf | <|skeleton|>
class SoftCycleTest:
def test_soft_cycle_allowed(self):
"""c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the instantiated rule for a.txt). That's fine because the instantiated rule for b.txt doesn't have its own rec... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SoftCycleTest:
def test_soft_cycle_allowed(self):
"""c.txt depends on a.txt, presumably to indicate that you have to build a.txt in order to get c.txt (c.txt is a side output of the instantiated rule for a.txt). That's fine because the instantiated rule for b.txt doesn't have its own recipe, so there'... | the_stack_v2_python_sparse | t/test_soft_cycle.py | texttheater/produce | train | 14 | |
c1c91c5e57ec59ebc0286711031602876e1e37e7 | [
"actions = self._default_attribute_actions.copy()\nactions['href'] = 'must'\nactions['title'] = 'drop'\nactions['class'] = 'keep'\nconverted = self._visit_open(node, children, actions)\nattrs = converted.attributes.attrs\nif 'href' in attrs:\n href = attrs['href'].value\n if href and href[0] == '/':\n ... | <|body_start_0|>
actions = self._default_attribute_actions.copy()
actions['href'] = 'must'
actions['title'] = 'drop'
actions['class'] = 'keep'
converted = self._visit_open(node, children, actions)
attrs = converted.attributes.attrs
if 'href' in attrs:
... | Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting compat divs - Keeps <td colspan=# rowspan=#>, for detecting spanning compat cells... | KumaVisitor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KumaVisitor:
"""Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting compat divs - Keeps <td colspan=# rowspan=... | stack_v2_sparse_classes_75kplus_train_003216 | 38,117 | no_license | [
{
"docstring": "Validate and cleanup <a> open tags.",
"name": "visit_a_open",
"signature": "def visit_a_open(self, node, children)"
},
{
"docstring": "Retain id attribute of <div> tags.",
"name": "visit_div_open",
"signature": "def visit_div_open(self, node, children)"
},
{
"docs... | 5 | stack_v2_sparse_classes_30k_train_051703 | Implement the Python class `KumaVisitor` described below.
Class description:
Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting com... | Implement the Python class `KumaVisitor` described below.
Class description:
Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting com... | bc092964153b03381aaff74a4d80f43a2b2dec19 | <|skeleton|>
class KumaVisitor:
"""Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting compat divs - Keeps <td colspan=# rowspan=... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KumaVisitor:
"""Extract HTML structure from a MDN Kuma raw fragment. Include extra policy for scraping pages for the importer: - Converts <span>content</span> to "content", with issues - Validate and cleanup <a> tags - Keeps <div id="foo">, for detecting compat divs - Keeps <td colspan=# rowspan=#>, for detec... | the_stack_v2_python_sparse | browsercompat/mdn/kumascript.py | WeilerWebServices/MDN-Web-Docs | train | 1 |
6af4abf9e98904497b46e72a12c781b993ca5cb2 | [
"aluno_selected = Aluno.query.filter_by(matricula=matricula)\nif not aluno_selected.first():\n return abort(400, 'Não existe aluno com essa matricula no banco de dados.')\nreturn AlunoSchema(many=True, only=('nome', 'matricula', 'curso')).dump(aluno_selected)",
"parser = reqparse.RequestParser(bundle_errors=Tr... | <|body_start_0|>
aluno_selected = Aluno.query.filter_by(matricula=matricula)
if not aluno_selected.first():
return abort(400, 'Não existe aluno com essa matricula no banco de dados.')
return AlunoSchema(many=True, only=('nome', 'matricula', 'curso')).dump(aluno_selected)
<|end_body_0... | rota_acesso_unico_alunos | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class rota_acesso_unico_alunos:
def get(self, matricula):
"""Retorna os dados de um aluno com a determinada matricula presente no banco de dados."""
<|body_0|>
def put(self, matricula):
"""Atualiza as informações de um aluno com determinada matricula (a sua imagem só pode ... | stack_v2_sparse_classes_75kplus_train_003217 | 7,337 | no_license | [
{
"docstring": "Retorna os dados de um aluno com a determinada matricula presente no banco de dados.",
"name": "get",
"signature": "def get(self, matricula)"
},
{
"docstring": "Atualiza as informações de um aluno com determinada matricula (a sua imagem só pode ser atualizada com envio de 'formDa... | 3 | stack_v2_sparse_classes_30k_train_027615 | Implement the Python class `rota_acesso_unico_alunos` described below.
Class description:
Implement the rota_acesso_unico_alunos class.
Method signatures and docstrings:
- def get(self, matricula): Retorna os dados de um aluno com a determinada matricula presente no banco de dados.
- def put(self, matricula): Atualiz... | Implement the Python class `rota_acesso_unico_alunos` described below.
Class description:
Implement the rota_acesso_unico_alunos class.
Method signatures and docstrings:
- def get(self, matricula): Retorna os dados de um aluno com a determinada matricula presente no banco de dados.
- def put(self, matricula): Atualiz... | 130f59d7bf54e1238f5ba4d293acc4947dbbabbe | <|skeleton|>
class rota_acesso_unico_alunos:
def get(self, matricula):
"""Retorna os dados de um aluno com a determinada matricula presente no banco de dados."""
<|body_0|>
def put(self, matricula):
"""Atualiza as informações de um aluno com determinada matricula (a sua imagem só pode ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class rota_acesso_unico_alunos:
def get(self, matricula):
"""Retorna os dados de um aluno com a determinada matricula presente no banco de dados."""
aluno_selected = Aluno.query.filter_by(matricula=matricula)
if not aluno_selected.first():
return abort(400, 'Não existe aluno com ... | the_stack_v2_python_sparse | core/APIs/alunos.py | angelomenezes/face-attendance-api | train | 4 | |
b488d2526603b4da5aadbf9db61454ea910b87e0 | [
"response = super(PipelineDetail, self).retrieve(request, *args, **kwargs)\ntemplate_data = {'name': '', 'authors': '', 'category': '', 'description': ''}\npipeline = self.get_object()\nif pipeline.locked:\n template_data['locked'] = ''\nreturn services.append_collection_template(response, template_data)",
"re... | <|body_start_0|>
response = super(PipelineDetail, self).retrieve(request, *args, **kwargs)
template_data = {'name': '', 'authors': '', 'category': '', 'description': ''}
pipeline = self.get_object()
if pipeline.locked:
template_data['locked'] = ''
return services.appe... | A pipeline view. | PipelineDetail | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineDetail:
"""A pipeline view."""
def retrieve(self, request, *args, **kwargs):
"""Overriden to append a collection+json template."""
<|body_0|>
def update(self, request, *args, **kwargs):
"""Overriden to remove parameters that are not allowed to be used on ... | stack_v2_sparse_classes_75kplus_train_003218 | 14,989 | permissive | [
{
"docstring": "Overriden to append a collection+json template.",
"name": "retrieve",
"signature": "def retrieve(self, request, *args, **kwargs)"
},
{
"docstring": "Overriden to remove parameters that are not allowed to be used on update, include required parameters if not in the request and del... | 3 | stack_v2_sparse_classes_30k_train_044196 | Implement the Python class `PipelineDetail` described below.
Class description:
A pipeline view.
Method signatures and docstrings:
- def retrieve(self, request, *args, **kwargs): Overriden to append a collection+json template.
- def update(self, request, *args, **kwargs): Overriden to remove parameters that are not a... | Implement the Python class `PipelineDetail` described below.
Class description:
A pipeline view.
Method signatures and docstrings:
- def retrieve(self, request, *args, **kwargs): Overriden to append a collection+json template.
- def update(self, request, *args, **kwargs): Overriden to remove parameters that are not a... | 20d3eedf20610af9182f6cca8db8f0b3546b5336 | <|skeleton|>
class PipelineDetail:
"""A pipeline view."""
def retrieve(self, request, *args, **kwargs):
"""Overriden to append a collection+json template."""
<|body_0|>
def update(self, request, *args, **kwargs):
"""Overriden to remove parameters that are not allowed to be used on ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PipelineDetail:
"""A pipeline view."""
def retrieve(self, request, *args, **kwargs):
"""Overriden to append a collection+json template."""
response = super(PipelineDetail, self).retrieve(request, *args, **kwargs)
template_data = {'name': '', 'authors': '', 'category': '', 'descrip... | the_stack_v2_python_sparse | chris_backend/pipelines/views.py | FNNDSC/ChRIS_ultron_backEnd | train | 36 |
0bc1995012f335dc23954956458b64443310c7f2 | [
"super(AdamWeightDecayOptimizer, self).__init__(False, name)\nself.learning_rate = learning_rate\nself.weight_decay_rate = weight_decay_rate\nself.beta_1 = beta_1\nself.beta_2 = beta_2\nself.epsilon = epsilon\nself.exclude_from_weight_decay = exclude_from_weight_decay\nself.pretrained_param_names = pretrained_param... | <|body_start_0|>
super(AdamWeightDecayOptimizer, self).__init__(False, name)
self.learning_rate = learning_rate
self.weight_decay_rate = weight_decay_rate
self.beta_1 = beta_1
self.beta_2 = beta_2
self.epsilon = epsilon
self.exclude_from_weight_decay = exclude_fro... | A basic Adam optimizer that includes "correct" L2 weight decay. | AdamWeightDecayOptimizer | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdamWeightDecayOptimizer:
"""A basic Adam optimizer that includes "correct" L2 weight decay."""
def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, pretrained_param_names=None, freeze_pretrained_steps=None, name='A... | stack_v2_sparse_classes_75kplus_train_003219 | 10,781 | permissive | [
{
"docstring": "Constructs a AdamWeightDecayOptimizer.",
"name": "__init__",
"signature": "def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, pretrained_param_names=None, freeze_pretrained_steps=None, name='AdamWeightDecayOpt... | 4 | stack_v2_sparse_classes_30k_train_001337 | Implement the Python class `AdamWeightDecayOptimizer` described below.
Class description:
A basic Adam optimizer that includes "correct" L2 weight decay.
Method signatures and docstrings:
- def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None... | Implement the Python class `AdamWeightDecayOptimizer` described below.
Class description:
A basic Adam optimizer that includes "correct" L2 weight decay.
Method signatures and docstrings:
- def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None... | ac9447064195e06de48cc91ff642f7fffa28ffe8 | <|skeleton|>
class AdamWeightDecayOptimizer:
"""A basic Adam optimizer that includes "correct" L2 weight decay."""
def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, pretrained_param_names=None, freeze_pretrained_steps=None, name='A... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdamWeightDecayOptimizer:
"""A basic Adam optimizer that includes "correct" L2 weight decay."""
def __init__(self, learning_rate, weight_decay_rate=0.0, beta_1=0.9, beta_2=0.999, epsilon=1e-06, exclude_from_weight_decay=None, pretrained_param_names=None, freeze_pretrained_steps=None, name='AdamWeightDeca... | the_stack_v2_python_sparse | language/xsp/model/adam_weight_decay.py | google-research/language | train | 1,567 |
4109b0a3748f7d5d98c91fd5f9cadfed173c5270 | [
"self.batteries = {}\nfor section in cfg.sections():\n parts = section.split('.')\n if parts[0] == 'battery':\n name = parts[1]\n empty = cfg.getint(section, 'empty')\n full = cfg.getint(section, 'full')\n self.batteries[name] = Battery(empty, full)\nself.BATT_LOW = 30\nself.screen... | <|body_start_0|>
self.batteries = {}
for section in cfg.sections():
parts = section.split('.')
if parts[0] == 'battery':
name = parts[1]
empty = cfg.getint(section, 'empty')
full = cfg.getint(section, 'full')
self.ba... | Contains the important state and functions for this script. | BatteryMonitor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatteryMonitor:
"""Contains the important state and functions for this script."""
def __init__(self, screen, cfg):
"""Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a RawConfigParser object that contains the battery configura... | stack_v2_sparse_classes_75kplus_train_003220 | 5,209 | no_license | [
{
"docstring": "Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a RawConfigParser object that contains the battery configuration information.",
"name": "__init__",
"signature": "def __init__(self, screen, cfg)"
},
{
"docstring": "A callba... | 4 | stack_v2_sparse_classes_30k_train_022339 | Implement the Python class `BatteryMonitor` described below.
Class description:
Contains the important state and functions for this script.
Method signatures and docstrings:
- def __init__(self, screen, cfg): Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a R... | Implement the Python class `BatteryMonitor` described below.
Class description:
Contains the important state and functions for this script.
Method signatures and docstrings:
- def __init__(self, screen, cfg): Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a R... | 52bacd9f58524090e0ab421a47714629249ca273 | <|skeleton|>
class BatteryMonitor:
"""Contains the important state and functions for this script."""
def __init__(self, screen, cfg):
"""Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a RawConfigParser object that contains the battery configura... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BatteryMonitor:
"""Contains the important state and functions for this script."""
def __init__(self, screen, cfg):
"""Constructor. @param screen: a curses window object on which the battery levels will be drawn. @param cfg: a RawConfigParser object that contains the battery configuration informat... | the_stack_v2_python_sparse | src/09-10/ubc-tbird-ros-pkg/sb_util/scripts/battery_monitor.py | jpearkes/snowbots | train | 0 |
8c69a4f47b3ec26b96582d4559cd8a1a48e3960a | [
"Parametre.__init__(self, 'hisser', 'up')\nself.schema = '<nom_objet>'\nself.aide_courte = 'hisse le pavillon'\nself.aide_longue = 'Cette commande vous permet de hisser un pavillon en tête de mât (ou tout autre moyen disponible dans cette embarcation pour montrer vos couleurs). Vous devez préciser en paramètre un f... | <|body_start_0|>
Parametre.__init__(self, 'hisser', 'up')
self.schema = '<nom_objet>'
self.aide_courte = 'hisse le pavillon'
self.aide_longue = 'Cette commande vous permet de hisser un pavillon en tête de mât (ou tout autre moyen disponible dans cette embarcation pour montrer vos couleur... | Commande 'pavillon hisser'. | PrmHisser | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmHisser:
"""Commande 'pavillon hisser'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def ajouter(self):
"""Méthode appelée lors de l'ajout de la commande à l'interpréteur"""
<|body_1|>
def interpreter(self, personnage, dic_masq... | stack_v2_sparse_classes_75kplus_train_003221 | 4,119 | permissive | [
{
"docstring": "Constructeur du paramètre",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Méthode appelée lors de l'ajout de la commande à l'interpréteur",
"name": "ajouter",
"signature": "def ajouter(self)"
},
{
"docstring": "Interprétation du paramètr... | 3 | stack_v2_sparse_classes_30k_test_001731 | Implement the Python class `PrmHisser` described below.
Class description:
Commande 'pavillon hisser'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def ajouter(self): Méthode appelée lors de l'ajout de la commande à l'interpréteur
- def interpreter(self, personnage, dic_masques)... | Implement the Python class `PrmHisser` described below.
Class description:
Commande 'pavillon hisser'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def ajouter(self): Méthode appelée lors de l'ajout de la commande à l'interpréteur
- def interpreter(self, personnage, dic_masques)... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmHisser:
"""Commande 'pavillon hisser'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def ajouter(self):
"""Méthode appelée lors de l'ajout de la commande à l'interpréteur"""
<|body_1|>
def interpreter(self, personnage, dic_masq... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrmHisser:
"""Commande 'pavillon hisser'."""
def __init__(self):
"""Constructeur du paramètre"""
Parametre.__init__(self, 'hisser', 'up')
self.schema = '<nom_objet>'
self.aide_courte = 'hisse le pavillon'
self.aide_longue = 'Cette commande vous permet de hisser un ... | the_stack_v2_python_sparse | src/secondaires/navigation/commandes/pavillon/hisser.py | vincent-lg/tsunami | train | 5 |
2238757765430213ab6e26b875d4e1ef3d185747 | [
"if data is empty:\n return True\nreturn not any(json.loads(data).values())",
"if self.is_empty_i18n_data(data) and self.required:\n self.fail('required')\nreturn super().validate_empty_values(data)"
] | <|body_start_0|>
if data is empty:
return True
return not any(json.loads(data).values())
<|end_body_0|>
<|body_start_1|>
if self.is_empty_i18n_data(data) and self.required:
self.fail('required')
return super().validate_empty_values(data)
<|end_body_1|>
| I18nCharField | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class I18nCharField:
def is_empty_i18n_data(data):
"""check for values in each language empty value example: {"en":""}"""
<|body_0|>
def validate_empty_values(self, data):
"""Empty i18n fields have the following format: {"en":""}, we have to decode json and check empty str... | stack_v2_sparse_classes_75kplus_train_003222 | 759 | no_license | [
{
"docstring": "check for values in each language empty value example: {\"en\":\"\"}",
"name": "is_empty_i18n_data",
"signature": "def is_empty_i18n_data(data)"
},
{
"docstring": "Empty i18n fields have the following format: {\"en\":\"\"}, we have to decode json and check empty strings for langu... | 2 | stack_v2_sparse_classes_30k_train_020791 | Implement the Python class `I18nCharField` described below.
Class description:
Implement the I18nCharField class.
Method signatures and docstrings:
- def is_empty_i18n_data(data): check for values in each language empty value example: {"en":""}
- def validate_empty_values(self, data): Empty i18n fields have the follo... | Implement the Python class `I18nCharField` described below.
Class description:
Implement the I18nCharField class.
Method signatures and docstrings:
- def is_empty_i18n_data(data): check for values in each language empty value example: {"en":""}
- def validate_empty_values(self, data): Empty i18n fields have the follo... | 338fd6396dbdce971bc542718fbb9608bdcfc2a7 | <|skeleton|>
class I18nCharField:
def is_empty_i18n_data(data):
"""check for values in each language empty value example: {"en":""}"""
<|body_0|>
def validate_empty_values(self, data):
"""Empty i18n fields have the following format: {"en":""}, we have to decode json and check empty str... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class I18nCharField:
def is_empty_i18n_data(data):
"""check for values in each language empty value example: {"en":""}"""
if data is empty:
return True
return not any(json.loads(data).values())
def validate_empty_values(self, data):
"""Empty i18n fields have the foll... | the_stack_v2_python_sparse | api/custom_fields.py | sai9912/mypyton | train | 0 | |
a809226b9b44efdad9e007a1b1a8049b6a6f4856 | [
"for row in matrix:\n for col in range(1, len(row)):\n row[col] += row[col - 1]\nself.matrix = matrix",
"original = self.matrix[row][col]\nif col != 0:\n original -= self.matrix[row][col - 1]\ndiff = original - val\nfor y in xrange(col, len(self.matrix[0])):\n self.matrix[row][y] -= diff",
"ans ... | <|body_start_0|>
for row in matrix:
for col in range(1, len(row)):
row[col] += row[col - 1]
self.matrix = matrix
<|end_body_0|>
<|body_start_1|>
original = self.matrix[row][col]
if col != 0:
original -= self.matrix[row][col - 1]
diff = ori... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def update(self, row, col, val):
""":type row: int :type col: int :type val: int :rtype: None"""
<|body_1|>
def sumRegion(self, row1, col1, row2, col2):
""":typ... | stack_v2_sparse_classes_75kplus_train_003223 | 1,190 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row: int :type col: int :type val: int :rtype: None",
"name": "update",
"signature": "def update(self, row, col, val)"
},
{
"docstring": ":type r... | 3 | stack_v2_sparse_classes_30k_train_027103 | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def update(self, row, col, val): :type row: int :type col: int :type val: int :rtype: None
- def sumRegion(self, row... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def update(self, row, col, val): :type row: int :type col: int :type val: int :rtype: None
- def sumRegion(self, row... | 06961cc468211b9692cd7a889ee38d1cd4e1d11e | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def update(self, row, col, val):
""":type row: int :type col: int :type val: int :rtype: None"""
<|body_1|>
def sumRegion(self, row1, col1, row2, col2):
""":typ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
for row in matrix:
for col in range(1, len(row)):
row[col] += row[col - 1]
self.matrix = matrix
def update(self, row, col, val):
""":type row: int :type col: int :type va... | the_stack_v2_python_sparse | 308. Range Sum Query 2D - Mutable.py | peraktong/LEETCODE_Jason | train | 0 | |
f0ed4f1772fffb8e3b610de102c02102e7619c7b | [
"super(TokenEmbedding, self).__init__()\nself.num_embeddings = num_embeddings\nself.embedding_dim = embedding_dim\nself.embeddings = nn.Embedding(num_embeddings, embedding_dim)\nif static:\n for param in self.embeddings.parameters():\n param.requires_grad = False\nif output_dim:\n self.output_dim = out... | <|body_start_0|>
super(TokenEmbedding, self).__init__()
self.num_embeddings = num_embeddings
self.embedding_dim = embedding_dim
self.embeddings = nn.Embedding(num_embeddings, embedding_dim)
if static:
for param in self.embeddings.parameters():
param.re... | Token embedding. | TokenEmbedding | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TokenEmbedding:
"""Token embedding."""
def __init__(self, num_embeddings, embedding_dim, output_dim=None, static=True):
"""Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is the embedding of each tokens. Parameters: :param: num_emb... | stack_v2_sparse_classes_75kplus_train_003224 | 8,938 | permissive | [
{
"docstring": "Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is the embedding of each tokens. Parameters: :param: num_embeddings (int): the size of the dictionary (i.e. the number of tokens) :param: embedding_dim (int): the size of the embedding vectors :p... | 2 | null | Implement the Python class `TokenEmbedding` described below.
Class description:
Token embedding.
Method signatures and docstrings:
- def __init__(self, num_embeddings, embedding_dim, output_dim=None, static=True): Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is ... | Implement the Python class `TokenEmbedding` described below.
Class description:
Token embedding.
Method signatures and docstrings:
- def __init__(self, num_embeddings, embedding_dim, output_dim=None, static=True): Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is ... | 0f778988abeb1628c76cc944740451fe59bb43b7 | <|skeleton|>
class TokenEmbedding:
"""Token embedding."""
def __init__(self, num_embeddings, embedding_dim, output_dim=None, static=True):
"""Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is the embedding of each tokens. Parameters: :param: num_emb... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TokenEmbedding:
"""Token embedding."""
def __init__(self, num_embeddings, embedding_dim, output_dim=None, static=True):
"""Create an embedding for the tokens in a sequence. The input is a tensor of token indices, the output is the embedding of each tokens. Parameters: :param: num_embeddings (int)... | the_stack_v2_python_sparse | Baseline/mrcqa/modules/embeddings.py | microsoft/MSMARCO-Question-Answering | train | 159 |
2c160e3d78b731a3acb332ccdd3af099038d4c85 | [
"if read_first:\n self.policy_1, self.i_epoch = pickle.load(open(path, 'rb'))\n print('Policy read from file. Trained for %i epochs.' % self.i_epoch)\nself.path = path\nself.i_epoch = 0\nself.policy_1 = TabularPolicy()",
"self.policy_2 = TabularPolicy()\nreturns = dict()\nfor num in range(int('1' + '0' * 9,... | <|body_start_0|>
if read_first:
self.policy_1, self.i_epoch = pickle.load(open(path, 'rb'))
print('Policy read from file. Trained for %i epochs.' % self.i_epoch)
self.path = path
self.i_epoch = 0
self.policy_1 = TabularPolicy()
<|end_body_0|>
<|body_start_1|>
... | TrainOneRound | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrainOneRound:
def __init__(self, path, read_first=False):
"""Input: path: the path to save the policy read_first: if true, read from the path first"""
<|body_0|>
def MCPrediction(self, n_epoch):
"""MC prediction following Sutton Barto 5.1 Against rush opponent Input... | stack_v2_sparse_classes_75kplus_train_003225 | 2,243 | no_license | [
{
"docstring": "Input: path: the path to save the policy read_first: if true, read from the path first",
"name": "__init__",
"signature": "def __init__(self, path, read_first=False)"
},
{
"docstring": "MC prediction following Sutton Barto 5.1 Against rush opponent Input: n_epoch: the number of e... | 2 | stack_v2_sparse_classes_30k_train_023941 | Implement the Python class `TrainOneRound` described below.
Class description:
Implement the TrainOneRound class.
Method signatures and docstrings:
- def __init__(self, path, read_first=False): Input: path: the path to save the policy read_first: if true, read from the path first
- def MCPrediction(self, n_epoch): MC... | Implement the Python class `TrainOneRound` described below.
Class description:
Implement the TrainOneRound class.
Method signatures and docstrings:
- def __init__(self, path, read_first=False): Input: path: the path to save the policy read_first: if true, read from the path first
- def MCPrediction(self, n_epoch): MC... | 5831d4c1eaf21d41007eb6988f3c9885b55d13b2 | <|skeleton|>
class TrainOneRound:
def __init__(self, path, read_first=False):
"""Input: path: the path to save the policy read_first: if true, read from the path first"""
<|body_0|>
def MCPrediction(self, n_epoch):
"""MC prediction following Sutton Barto 5.1 Against rush opponent Input... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TrainOneRound:
def __init__(self, path, read_first=False):
"""Input: path: the path to save the policy read_first: if true, read from the path first"""
if read_first:
self.policy_1, self.i_epoch = pickle.load(open(path, 'rb'))
print('Policy read from file. Trained for %... | the_stack_v2_python_sparse | ttt_train_mc_prediction.py | sw2703/rl_tictactoe | train | 0 | |
001f73e9d51180d1b7846fc0a0d30b35af1dc76c | [
"super(SwallowCritic, self).__init__()\nself.device = device\nself.layer1 = torch.nn.Sequential(torch.nn.Linear(input_shape[0], 64), torch.nn.ReLU())\nself.layer2 = torch.nn.Sequential(torch.nn.Linear(64, 32), torch.nn.ReLU())\nself.critic = torch.nn.Linear(32, output_shape)",
"x = x.to(self.device)\nx = self.lay... | <|body_start_0|>
super(SwallowCritic, self).__init__()
self.device = device
self.layer1 = torch.nn.Sequential(torch.nn.Linear(input_shape[0], 64), torch.nn.ReLU())
self.layer2 = torch.nn.Sequential(torch.nn.Linear(64, 32), torch.nn.ReLU())
self.critic = torch.nn.Linear(32, output... | SwallowCritic | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SwallowCritic:
def __init__(self, input_shape, output_shape=1, device=torch.device('cpu')):
"""Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del crítico en A2C. Estima el valor de la observación / estado actual :param input_shape: Forma de los datos... | stack_v2_sparse_classes_75kplus_train_003226 | 6,347 | permissive | [
{
"docstring": "Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del crítico en A2C. Estima el valor de la observación / estado actual :param input_shape: Forma de los datos de entrada (representan las observaciones del actor) :param output_shape: Forma de los datos de salida... | 2 | stack_v2_sparse_classes_30k_train_037007 | Implement the Python class `SwallowCritic` described below.
Class description:
Implement the SwallowCritic class.
Method signatures and docstrings:
- def __init__(self, input_shape, output_shape=1, device=torch.device('cpu')): Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del cr... | Implement the Python class `SwallowCritic` described below.
Class description:
Implement the SwallowCritic class.
Method signatures and docstrings:
- def __init__(self, input_shape, output_shape=1, device=torch.device('cpu')): Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del cr... | 5e987fac269afcb8f43aa9da1d07e34e1e036948 | <|skeleton|>
class SwallowCritic:
def __init__(self, input_shape, output_shape=1, device=torch.device('cpu')):
"""Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del crítico en A2C. Estima el valor de la observación / estado actual :param input_shape: Forma de los datos... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SwallowCritic:
def __init__(self, input_shape, output_shape=1, device=torch.device('cpu')):
"""Una red neorunal que produce un valor contínuo. Se utiliza para representar el papel del crítico en A2C. Estima el valor de la observación / estado actual :param input_shape: Forma de los datos de entrada (r... | the_stack_v2_python_sparse | tema5/function_aproximator/swallow.py | dabamascodes/ia-course | train | 1 | |
009f894c80f4e38fa9a68179511d9c76c36abee2 | [
"if self.nb_rects == 0 or self.nb_steps >= self.max_iter or self.stuck:\n return False\nreturn True",
"row = random.randint(0, self.nb_rows - 1)\ncolumn = random.randint(0, self.nb_columns - 1)\nfor colour in self.grid[row]:\n if self.grid[row][colour] & 2 ** column:\n current_colour = colour\n ... | <|body_start_0|>
if self.nb_rects == 0 or self.nb_steps >= self.max_iter or self.stuck:
return False
return True
<|end_body_0|>
<|body_start_1|>
row = random.randint(0, self.nb_rows - 1)
column = random.randint(0, self.nb_columns - 1)
for colour in self.grid[row]:
... | Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution. | RandomDotGreedySolver | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomDotGreedySolver:
"""Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution."""
def not_done(self):
"""simple method to determine if the solver must terminate"""
<|body_0|>... | stack_v2_sparse_classes_75kplus_train_003227 | 12,324 | no_license | [
{
"docstring": "simple method to determine if the solver must terminate",
"name": "not_done",
"signature": "def not_done(self)"
},
{
"docstring": "pick a point (row, column) at random and change its colour",
"name": "pick_new_configuration",
"signature": "def pick_new_configuration(self)... | 4 | stack_v2_sparse_classes_30k_train_026285 | Implement the Python class `RandomDotGreedySolver` described below.
Class description:
Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution.
Method signatures and docstrings:
- def not_done(self): simple method to det... | Implement the Python class `RandomDotGreedySolver` described below.
Class description:
Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution.
Method signatures and docstrings:
- def not_done(self): simple method to det... | dd721e096f8445aee48e69c3a3ebf6501aecc95b | <|skeleton|>
class RandomDotGreedySolver:
"""Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution."""
def not_done(self):
"""simple method to determine if the solver must terminate"""
<|body_0|>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomDotGreedySolver:
"""Solves a given grid by picking a point at random and attempting to change its colour; if it reduces the number of problematic point, we keep the solution."""
def not_done(self):
"""simple method to determine if the solver must terminate"""
if self.nb_rects == 0 o... | the_stack_v2_python_sparse | grid_challenge/solver.py | aroberge/py-fun | train | 0 |
ac996c3aeac95f3dbcd99eda132bfb007a11c3ae | [
"self.latlon = latlon\nself.mag = mag\nself.delta_logl = delta_logl\nself.delta_logw = delta_logw\nself.depth_offset = depth_offset",
"lat = sample['latitude']\nlon = sample['longitude']\nmag = sample['magnitude']\ndelta_logl = sample['delta_logl']\ndelta_logw = sample['delta_logw']\ndepth_offset = sample['depth_... | <|body_start_0|>
self.latlon = latlon
self.mag = mag
self.delta_logl = delta_logl
self.delta_logw = delta_logw
self.depth_offset = depth_offset
<|end_body_0|>
<|body_start_1|>
lat = sample['latitude']
lon = sample['longitude']
mag = sample['magnitude']
... | The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event. | BandaPrior | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BandaPrior:
"""The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event."""
def __init__(self, latlon, mag, delta_logl, delta_logw, depth_offset):
"""Initializes all the necessary variables for the subclass. Parameters ---------- latlon :... | stack_v2_sparse_classes_75kplus_train_003228 | 8,162 | no_license | [
{
"docstring": "Initializes all the necessary variables for the subclass. Parameters ---------- latlon : LatLonPrior Object Contains attirbutes fault and depth_dist, with methods logpdf, pdf, and rvs. mag : scipy.stats rv_frozen object A truncated continous random variable describing the sample's magnitude with... | 3 | null | Implement the Python class `BandaPrior` described below.
Class description:
The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event.
Method signatures and docstrings:
- def __init__(self, latlon, mag, delta_logl, delta_logw, depth_offset): Initializes all the necessary v... | Implement the Python class `BandaPrior` described below.
Class description:
The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event.
Method signatures and docstrings:
- def __init__(self, latlon, mag, delta_logl, delta_logw, depth_offset): Initializes all the necessary v... | c537a77ea071d4d8fc0590771efe1ec7646536e5 | <|skeleton|>
class BandaPrior:
"""The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event."""
def __init__(self, latlon, mag, delta_logl, delta_logw, depth_offset):
"""Initializes all the necessary variables for the subclass. Parameters ---------- latlon :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BandaPrior:
"""The child class of Base Prior that creates a prior distribution, specifically for the Banda 1852 event."""
def __init__(self, latlon, mag, delta_logl, delta_logw, depth_offset):
"""Initializes all the necessary variables for the subclass. Parameters ---------- latlon : LatLonPrior ... | the_stack_v2_python_sparse | scenarios/banda_1852/prior.py | jpw37/tsunamibayes | train | 11 |
885528bbd45f9e7fdc481b7a529841bf8339c662 | [
"self.url = url\nself.repo = repo\nself.name = cookbook_name\nself.version = version\nself.manager = who",
"folder = './cookbooks/'\nmsg = 'En el getCookbook. \\n '\nset_info_log('url: ' + self.url + '. name: ' + folder + self.name)\nif self.repo == 'svn':\n try:\n Client().checkout(self.url, folder + s... | <|body_start_0|>
self.url = url
self.repo = repo
self.name = cookbook_name
self.version = version
self.manager = who
<|end_body_0|>
<|body_start_1|>
folder = './cookbooks/'
msg = 'En el getCookbook. \n '
set_info_log('url: ' + self.url + '. name: ' + fold... | Download | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Download:
def __init__(self, url, repo, cookbook_name, version, who):
"""Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: software name @param version: software version @param who: configuration management type @return: None i... | stack_v2_sparse_classes_75kplus_train_003229 | 3,001 | no_license | [
{
"docstring": "Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: software name @param version: software version @param who: configuration management type @return: None if all OK or an error on failure",
"name": "__init__",
"signature": "def _... | 3 | stack_v2_sparse_classes_30k_train_038975 | Implement the Python class `Download` described below.
Class description:
Implement the Download class.
Method signatures and docstrings:
- def __init__(self, url, repo, cookbook_name, version, who): Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: softwar... | Implement the Python class `Download` described below.
Class description:
Implement the Download class.
Method signatures and docstrings:
- def __init__(self, url, repo, cookbook_name, version, who): Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: softwar... | 34e1cb245b88789e779282db88108dd512e24bac | <|skeleton|>
class Download:
def __init__(self, url, repo, cookbook_name, version, who):
"""Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: software name @param version: software version @param who: configuration management type @return: None i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Download:
def __init__(self, url, repo, cookbook_name, version, who):
"""Initial parameters @param url: The url of the repository @param repo: kind os repository @param cookbook_name: software name @param version: software version @param who: configuration management type @return: None if all OK or an... | the_stack_v2_python_sparse | recipes/download.py | telefonicaid/fiware-uploadrecipes | train | 0 | |
4da3f11a9429588354e0a02bb2992b752b8deaa4 | [
"if factory is not None:\n self.set_default_kind(DEFAULT_FACTORY, factory)\nelif args is not None or kwargs is not None:\n args = args or ()\n kwargs = kwargs or {}\n self.set_default_kind(USER_DEFAULT, (args, kwargs))\nelse:\n self.set_default_kind(DEFAULT_VALUE, None)\nself.set_validate_kind(USER_V... | <|body_start_0|>
if factory is not None:
self.set_default_kind(DEFAULT_FACTORY, factory)
elif args is not None or kwargs is not None:
args = args or ()
kwargs = kwargs or {}
self.set_default_kind(USER_DEFAULT, (args, kwargs))
else:
self... | An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance. | ForwardInstance | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, factory=None, args=None, kwargs=None):... | stack_v2_sparse_classes_75kplus_train_003230 | 4,941 | permissive | [
{
"docstring": "Initialize a ForwardInstance. resolve : callable A callable which takes no arguments and returns the type or tuple of types to use for validating the values. factory : callable, optional An optional factory to use for creating the default value. If this is not provided and 'args' and 'kwargs' is... | 3 | stack_v2_sparse_classes_30k_train_017455 | Implement the Python class `ForwardInstance` described below.
Class description:
An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance.
Method signatures and docstrings:
... | Implement the Python class `ForwardInstance` described below.
Class description:
An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance.
Method signatures and docstrings:
... | 1f194e3550d62c4ca1d79521dff97531ffe3f0ac | <|skeleton|>
class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, factory=None, args=None, kwargs=None):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ForwardInstance:
"""An Instance which delays resolving the type definition. The first time the value is accessed or modified, the type will be resolved and the forward instance will behave identically to a normal instance."""
def __init__(self, resolve, factory=None, args=None, kwargs=None):
"""I... | the_stack_v2_python_sparse | atom/instance.py | enthought/atom | train | 0 |
f8ee82da5e5e5c8e58fe06ba91e15fddab3a5999 | [
"self.variables = {}\ntry:\n JoinVariablesPass(tree)\n InitialTypeInfoPass(tree, self)\n PropagateTypes(tree, self)\n AssignmentsPass(tree)\n FunctionCallsPass(tree)\n TransformIndexExpressionPass(tree)\n LastCleanupPass(tree)\nexcept MCError as err:\n print('/Error when doing semantic analy... | <|body_start_0|>
self.variables = {}
try:
JoinVariablesPass(tree)
InitialTypeInfoPass(tree, self)
PropagateTypes(tree, self)
AssignmentsPass(tree)
FunctionCallsPass(tree)
TransformIndexExpressionPass(tree)
LastCleanupPas... | A user defined payoff expression, including vars and params | UDMCSemanticAnalyzer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UDMCSemanticAnalyzer:
"""A user defined payoff expression, including vars and params"""
def __init__(self, tree):
"""Create an instance given text definition"""
<|body_0|>
def add_variable(self, varname, vartype, isparam, isprocess, initinfo, impid):
"""Add a var... | stack_v2_sparse_classes_75kplus_train_003231 | 15,420 | no_license | [
{
"docstring": "Create an instance given text definition",
"name": "__init__",
"signature": "def __init__(self, tree)"
},
{
"docstring": "Add a variable",
"name": "add_variable",
"signature": "def add_variable(self, varname, vartype, isparam, isprocess, initinfo, impid)"
},
{
"do... | 3 | stack_v2_sparse_classes_30k_train_010294 | Implement the Python class `UDMCSemanticAnalyzer` described below.
Class description:
A user defined payoff expression, including vars and params
Method signatures and docstrings:
- def __init__(self, tree): Create an instance given text definition
- def add_variable(self, varname, vartype, isparam, isprocess, initin... | Implement the Python class `UDMCSemanticAnalyzer` described below.
Class description:
A user defined payoff expression, including vars and params
Method signatures and docstrings:
- def __init__(self, tree): Create an instance given text definition
- def add_variable(self, varname, vartype, isparam, isprocess, initin... | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | <|skeleton|>
class UDMCSemanticAnalyzer:
"""A user defined payoff expression, including vars and params"""
def __init__(self, tree):
"""Create an instance given text definition"""
<|body_0|>
def add_variable(self, varname, vartype, isparam, isprocess, initinfo, impid):
"""Add a var... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UDMCSemanticAnalyzer:
"""A user defined payoff expression, including vars and params"""
def __init__(self, tree):
"""Create an instance given text definition"""
self.variables = {}
try:
JoinVariablesPass(tree)
InitialTypeInfoPass(tree, self)
Pro... | the_stack_v2_python_sparse | Extensions/UDMCMod/FPythonCode/FUDMCSemanticAnalyzer_CPP.py | webclinic017/fa-absa-py3 | train | 0 |
6d6aec76675c2519488a5937ebbd17df5715afb1 | [
"self.__dmd = getUtility(IDataRootFactory)()\nself.__modeling_pause_timeout = modeling_pause_timeout\nself.__priority = getattr(ServiceCallPriority, modeling_priority)",
"if self.__dmd.getPauseADMLife() <= self.__modeling_pause_timeout:\n return [self.__priority]\nreturn []"
] | <|body_start_0|>
self.__dmd = getUtility(IDataRootFactory)()
self.__modeling_pause_timeout = modeling_pause_timeout
self.__priority = getattr(ServiceCallPriority, modeling_priority)
<|end_body_0|>
<|body_start_1|>
if self.__dmd.getPauseADMLife() <= self.__modeling_pause_timeout:
... | A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused(dmd, Priority.MODELING, 60) assert bool(paused()) is True assert [Priority.MODEL... | ModelingPaused | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelingPaused:
"""A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused(dmd, Priority.MODELING, 60) assert boo... | stack_v2_sparse_classes_75kplus_train_003232 | 10,770 | no_license | [
{
"docstring": "Initialize a ModelingPaused instance. :param modeling_priority: Priority for modeling calls :param float modeling_pause_timeout: Duration of modeling pause",
"name": "__init__",
"signature": "def __init__(self, modeling_priority, modeling_pause_timeout)"
},
{
"docstring": "Return... | 2 | stack_v2_sparse_classes_30k_train_046033 | Implement the Python class `ModelingPaused` described below.
Class description:
A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused... | Implement the Python class `ModelingPaused` described below.
Class description:
A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused... | 1ea508c3d2b51742bc3b448c445cd0a3dba9e798 | <|skeleton|>
class ModelingPaused:
"""A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused(dmd, Priority.MODELING, 60) assert boo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelingPaused:
"""A predicate that reports whether modeling is paused. ModelingPaused instances can be used as predicates due to their return values having boolean properties. When modeling is paused, i.e. the predicate is true, then paused = ModelingPaused(dmd, Priority.MODELING, 60) assert bool(paused()) i... | the_stack_v2_python_sparse | Products/ZenHub/server/priority.py | zenoss/zenoss-prodbin | train | 27 |
1ea4e1b5e0f73331d785fa74b5e23be9c4629c59 | [
"path_sub = 'data/ds005/sub%s/' % sub_id\npath_run = 'task001_run%s' % run_id\npath_behav = path_sub + 'behav/' + path_run + '/behavdata.txt'\nraw = np.array([row.split() for row in list(open(path_behav))[1:]])\nkept_rows = raw[:, 4] != '0' if rm_nonresp else np.arange(raw.shape[0])\nrare = raw[kept_rows].astype('f... | <|body_start_0|>
path_sub = 'data/ds005/sub%s/' % sub_id
path_run = 'task001_run%s' % run_id
path_behav = path_sub + 'behav/' + path_run + '/behavdata.txt'
raw = np.array([row.split() for row in list(open(path_behav))[1:]])
kept_rows = raw[:, 4] != '0' if rm_nonresp else np.arang... | This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data. | ds005 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ds005:
"""This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data."""
def __init__(self, sub_id, run_id, rm_nonresp=True):
"""Each object of this class created contains both sets of fMRI data alo... | stack_v2_sparse_classes_75kplus_train_003233 | 9,808 | no_license | [
{
"docstring": "Each object of this class created contains both sets of fMRI data along with the corresponding behavioral data. Parameters ---------- sub_id : str Unique key used to identify the subject (i.e., 001, ..., 016) run_id : str Unique key used to identify the run number (i.e, 001, ..., 003) rm_nonresp... | 4 | stack_v2_sparse_classes_30k_train_030264 | Implement the Python class `ds005` described below.
Class description:
This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data.
Method signatures and docstrings:
- def __init__(self, sub_id, run_id, rm_nonresp=True): Each object ... | Implement the Python class `ds005` described below.
Class description:
This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data.
Method signatures and docstrings:
- def __init__(self, sub_id, run_id, rm_nonresp=True): Each object ... | 3fa926c3a2b8ebf1d7af1e12fe50b62587885a24 | <|skeleton|>
class ds005:
"""This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data."""
def __init__(self, sub_id, run_id, rm_nonresp=True):
"""Each object of this class created contains both sets of fMRI data alo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ds005:
"""This class allows organization of the data by runs. In addition to the behavioral data, it also contains as subobjects the raw and filtered data."""
def __init__(self, sub_id, run_id, rm_nonresp=True):
"""Each object of this class created contains both sets of fMRI data along with the c... | the_stack_v2_python_sparse | code/utils/make_class.py | berkeley-stat159/project-delta | train | 4 |
d8fd92235c7250909a84326b40d03d184af10f6f | [
"rst = {'data': {'list': []}}\ntry:\n rst['errcode'] = 0\n page_num = int(request.params['pageNum']) - 1\n page_size = int(request.params['pageSize'])\n query = request.params['query']\n model = http.request.env['project_manage.project_manage']\n domain = []\n if query and query != '':\n ... | <|body_start_0|>
rst = {'data': {'list': []}}
try:
rst['errcode'] = 0
page_num = int(request.params['pageNum']) - 1
page_size = int(request.params['pageSize'])
query = request.params['query']
model = http.request.env['project_manage.project_man... | 接口 | ProjectManage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectManage:
"""接口"""
def get_project(self, **kw):
"""取得所有的项目 :param kw: :return:"""
<|body_0|>
def get_project_info(self, **kw):
"""取得项目信息 :param kw: :return:"""
<|body_1|>
def get_project_info(self, **kw):
"""获取登陆用户的信息 :param kw: :return:... | stack_v2_sparse_classes_75kplus_train_003234 | 3,532 | no_license | [
{
"docstring": "取得所有的项目 :param kw: :return:",
"name": "get_project",
"signature": "def get_project(self, **kw)"
},
{
"docstring": "取得项目信息 :param kw: :return:",
"name": "get_project_info",
"signature": "def get_project_info(self, **kw)"
},
{
"docstring": "获取登陆用户的信息 :param kw: :ret... | 3 | stack_v2_sparse_classes_30k_train_029264 | Implement the Python class `ProjectManage` described below.
Class description:
接口
Method signatures and docstrings:
- def get_project(self, **kw): 取得所有的项目 :param kw: :return:
- def get_project_info(self, **kw): 取得项目信息 :param kw: :return:
- def get_project_info(self, **kw): 获取登陆用户的信息 :param kw: :return: | Implement the Python class `ProjectManage` described below.
Class description:
接口
Method signatures and docstrings:
- def get_project(self, **kw): 取得所有的项目 :param kw: :return:
- def get_project_info(self, **kw): 取得项目信息 :param kw: :return:
- def get_project_info(self, **kw): 获取登陆用户的信息 :param kw: :return:
<|skeleton|>
... | 13b428a5c4ade6278e3e5e996ef10d9fb0fea4b9 | <|skeleton|>
class ProjectManage:
"""接口"""
def get_project(self, **kw):
"""取得所有的项目 :param kw: :return:"""
<|body_0|>
def get_project_info(self, **kw):
"""取得项目信息 :param kw: :return:"""
<|body_1|>
def get_project_info(self, **kw):
"""获取登陆用户的信息 :param kw: :return:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectManage:
"""接口"""
def get_project(self, **kw):
"""取得所有的项目 :param kw: :return:"""
rst = {'data': {'list': []}}
try:
rst['errcode'] = 0
page_num = int(request.params['pageNum']) - 1
page_size = int(request.params['pageSize'])
que... | the_stack_v2_python_sparse | mdias_addons/project_manage/controllers/controllers.py | rezaghanimi/main_mdias | train | 0 |
67c3863e5e0f5f1ca16558756c129d21122b1e0b | [
"Parametre.__init__(self, 'éditer', 'edit')\nself.groupe = 'administrateur'\nself.schema = '<nombre> <message>'\nself.aide_courte = 'édite la feuille de route'\nself.aide_longue = 'Cette sous-commande permet d\\'éditer la feuille de route. Elle prend en premier paramètre le numéro de l\\'élément à éditer tel que vo... | <|body_start_0|>
Parametre.__init__(self, 'éditer', 'edit')
self.groupe = 'administrateur'
self.schema = '<nombre> <message>'
self.aide_courte = 'édite la feuille de route'
self.aide_longue = 'Cette sous-commande permet d\'éditer la feuille de route. Elle prend en premier paramèt... | Commande 'roadmap éditer'. | PrmEditer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmEditer:
"""Commande 'roadmap éditer'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Parametre._... | stack_v2_sparse_classes_75kplus_train_003235 | 4,189 | permissive | [
{
"docstring": "Constructeur du paramètre",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Interprétation du paramètre",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021259 | Implement the Python class `PrmEditer` described below.
Class description:
Commande 'roadmap éditer'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre | Implement the Python class `PrmEditer` described below.
Class description:
Commande 'roadmap éditer'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre
<|skeleton|>
class PrmEditer:
"""Commande 'roadmap ... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmEditer:
"""Commande 'roadmap éditer'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrmEditer:
"""Commande 'roadmap éditer'."""
def __init__(self):
"""Constructeur du paramètre"""
Parametre.__init__(self, 'éditer', 'edit')
self.groupe = 'administrateur'
self.schema = '<nombre> <message>'
self.aide_courte = 'édite la feuille de route'
self.... | the_stack_v2_python_sparse | src/primaires/information/commandes/roadmap/editer.py | vincent-lg/tsunami | train | 5 |
43d4b7b7ffb85ed309077166842d47c14b6fdbad | [
"sess = super().create_session(user_id)\nif sess is None:\n return None\nUserSession(user_id=user_id, session_id=sess).save()\nreturn sess",
"if session_id is None:\n return None\nsession_dictionary = None\nif session_id not in SessionAuth.user_id_by_session_id.keys():\n sessData = UserSession.search({'s... | <|body_start_0|>
sess = super().create_session(user_id)
if sess is None:
return None
UserSession(user_id=user_id, session_id=sess).save()
return sess
<|end_body_0|>
<|body_start_1|>
if session_id is None:
return None
session_dictionary = None
... | The session auth class with expiration | SessionDBAuth | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SessionDBAuth:
"""The session auth class with expiration"""
def create_session(self, user_id=None):
"""create a new session for a user overloaded"""
<|body_0|>
def user_id_for_session_id(self, session_id=None):
"""get the user id for a session overloaded"""
... | stack_v2_sparse_classes_75kplus_train_003236 | 2,111 | no_license | [
{
"docstring": "create a new session for a user overloaded",
"name": "create_session",
"signature": "def create_session(self, user_id=None)"
},
{
"docstring": "get the user id for a session overloaded",
"name": "user_id_for_session_id",
"signature": "def user_id_for_session_id(self, sess... | 3 | stack_v2_sparse_classes_30k_train_003277 | Implement the Python class `SessionDBAuth` described below.
Class description:
The session auth class with expiration
Method signatures and docstrings:
- def create_session(self, user_id=None): create a new session for a user overloaded
- def user_id_for_session_id(self, session_id=None): get the user id for a sessio... | Implement the Python class `SessionDBAuth` described below.
Class description:
The session auth class with expiration
Method signatures and docstrings:
- def create_session(self, user_id=None): create a new session for a user overloaded
- def user_id_for_session_id(self, session_id=None): get the user id for a sessio... | 231a975bbaa60233e5e5260d91c968e865bb85a7 | <|skeleton|>
class SessionDBAuth:
"""The session auth class with expiration"""
def create_session(self, user_id=None):
"""create a new session for a user overloaded"""
<|body_0|>
def user_id_for_session_id(self, session_id=None):
"""get the user id for a session overloaded"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SessionDBAuth:
"""The session auth class with expiration"""
def create_session(self, user_id=None):
"""create a new session for a user overloaded"""
sess = super().create_session(user_id)
if sess is None:
return None
UserSession(user_id=user_id, session_id=sess... | the_stack_v2_python_sparse | 0x07-Session_authentication/api/v1/auth/session_db_auth.py | maybe-william/holbertonschool-web_back_end | train | 0 |
59a010135f9132fa0ae4044e581d8764292992be | [
"self.public_name = name\nself.private_name = '_' + name\nself.default_name = 'default_' + ''.join(name.split('_'))",
"default = getattr(obj, self.default_name)\nd = getattr(obj, self.private_name)\nif d is not None:\n return d\nreturn defaultdict(lambda: default)",
"if not value:\n return\nif isinstance(... | <|body_start_0|>
self.public_name = name
self.private_name = '_' + name
self.default_name = 'default_' + ''.join(name.split('_'))
<|end_body_0|>
<|body_start_1|>
default = getattr(obj, self.default_name)
d = getattr(obj, self.private_name)
if d is not None:
r... | Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corresponding attribute that defines the default value for missing colors. Both th... | ColorDict | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColorDict:
"""Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corresponding attribute that defines the defa... | stack_v2_sparse_classes_75kplus_train_003237 | 4,102 | permissive | [
{
"docstring": "Record the name of the attribute this descriptor is assigned to. The attribute name is then used to identify the corresponding private attribute, and the attribute containing a default value. Parameters ---------- owner : object The class owning the attribute. name : str The name of the attribut... | 3 | null | Implement the Python class `ColorDict` described below.
Class description:
Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corres... | Implement the Python class `ColorDict` described below.
Class description:
Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corres... | 486e2e9332553240bcbd80e100d26bff58071709 | <|skeleton|>
class ColorDict:
"""Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corresponding attribute that defines the defa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ColorDict:
"""Descriptor for color dictionaries. To use this descriptor, some requirements need to be fulfilled. The descriptor should be assigned to a class attribute that has a protected counterpart that will hold the actual dictionary values, and a corresponding attribute that defines the default value for... | the_stack_v2_python_sparse | src/compas/artists/colordict.py | compas-dev/compas | train | 286 |
c593d793fabfcaaca45ee6569db22ae280b8ef34 | [
"params = {'term': city, 'location_types': 'city'}\nheaders = {'apikey': TEQUILA_API_KEY}\nresponse = requests.get(url=f'{TEQUILA_ENDPOINT}locations/query', params=params, headers=headers)\nresponse.raise_for_status()\npprint(response.json())\ndata = response.json()\niata_code = data['locations'][0]['code']\nreturn... | <|body_start_0|>
params = {'term': city, 'location_types': 'city'}
headers = {'apikey': TEQUILA_API_KEY}
response = requests.get(url=f'{TEQUILA_ENDPOINT}locations/query', params=params, headers=headers)
response.raise_for_status()
pprint(response.json())
data = response.j... | This class is responsible for talking to the Flight Search (tequila-kwi) API. | FlightSearch | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlightSearch:
"""This class is responsible for talking to the Flight Search (tequila-kwi) API."""
def search_flight_iatacode(self, city):
"""return iatacode fetched from tequila API"""
<|body_0|>
def search_flight(self, fly_to, price_to):
"""return cheapest fligh... | stack_v2_sparse_classes_75kplus_train_003238 | 2,419 | no_license | [
{
"docstring": "return iatacode fetched from tequila API",
"name": "search_flight_iatacode",
"signature": "def search_flight_iatacode(self, city)"
},
{
"docstring": "return cheapest flight data from tequila API",
"name": "search_flight",
"signature": "def search_flight(self, fly_to, pric... | 2 | stack_v2_sparse_classes_30k_train_037351 | Implement the Python class `FlightSearch` described below.
Class description:
This class is responsible for talking to the Flight Search (tequila-kwi) API.
Method signatures and docstrings:
- def search_flight_iatacode(self, city): return iatacode fetched from tequila API
- def search_flight(self, fly_to, price_to): ... | Implement the Python class `FlightSearch` described below.
Class description:
This class is responsible for talking to the Flight Search (tequila-kwi) API.
Method signatures and docstrings:
- def search_flight_iatacode(self, city): return iatacode fetched from tequila API
- def search_flight(self, fly_to, price_to): ... | edc8ab39cbe9fef9bf8955b9e21aeedd4281c812 | <|skeleton|>
class FlightSearch:
"""This class is responsible for talking to the Flight Search (tequila-kwi) API."""
def search_flight_iatacode(self, city):
"""return iatacode fetched from tequila API"""
<|body_0|>
def search_flight(self, fly_to, price_to):
"""return cheapest fligh... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlightSearch:
"""This class is responsible for talking to the Flight Search (tequila-kwi) API."""
def search_flight_iatacode(self, city):
"""return iatacode fetched from tequila API"""
params = {'term': city, 'location_types': 'city'}
headers = {'apikey': TEQUILA_API_KEY}
... | the_stack_v2_python_sparse | 5_API/flight_deal_finder/flight_search.py | day-lee/Python_Bootcamp_Udemy | train | 0 |
4e08a2f5bbf1ea99a1438a74b84a27e364ed64f9 | [
"if use_pardiso:\n mtype = mtypes[matrix_type]\n self.pSolve = pardisoSolver(A, mtype=mtype, verbose=verbose)\n self.pSolve.run_pardiso(12)\nelse:\n self.pSolve = sp.sparse.linalg.splu(A)",
"if use_pardiso:\n x = self.pSolve.run_pardiso(33, b)\nelse:\n x = self.pSolve.solve(b)\nreturn x",
"if ... | <|body_start_0|>
if use_pardiso:
mtype = mtypes[matrix_type]
self.pSolve = pardisoSolver(A, mtype=mtype, verbose=verbose)
self.pSolve.run_pardiso(12)
else:
self.pSolve = sp.sparse.linalg.splu(A)
<|end_body_0|>
<|body_start_1|>
if use_pardiso:
... | Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available. | SpSolve | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpSolve:
"""Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available."""
def __init__(self, A, matrix_type='symm', verbose=False):
"""Parameters ---------- A : sp.sparse.CSR sparse mat... | stack_v2_sparse_classes_75kplus_train_003239 | 31,960 | permissive | [
{
"docstring": "Parameters ---------- A : sp.sparse.CSR sparse matrix in CSR-format matrixd_type : {'spd', 'symm', 'unsymm'}, optional Specifier for the matrix type: - 'spd' : symmetric positive definite - 'symm' : symmetric indefinite - 'unsymm' : generally unsymmetric verbose : bool Flag for verbosity.",
... | 3 | stack_v2_sparse_classes_30k_train_038612 | Implement the Python class `SpSolve` described below.
Class description:
Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available.
Method signatures and docstrings:
- def __init__(self, A, matrix_type='symm', verbose=F... | Implement the Python class `SpSolve` described below.
Class description:
Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available.
Method signatures and docstrings:
- def __init__(self, A, matrix_type='symm', verbose=F... | 0dad8df6277a09b2f250010b476854dc91d4d8ad | <|skeleton|>
class SpSolve:
"""Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available."""
def __init__(self, A, matrix_type='symm', verbose=False):
"""Parameters ---------- A : sp.sparse.CSR sparse mat... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpSolve:
"""Solver class for solving the sparse system Ax=b for multiple right hand sides b using the fastest solver available, i.e. the Intel MKL Pardiso, if available."""
def __init__(self, A, matrix_type='symm', verbose=False):
"""Parameters ---------- A : sp.sparse.CSR sparse matrix in CSR-fo... | the_stack_v2_python_sparse | amfe/solver.py | AsclepiusInformatica/github-spielwiese | train | 0 |
d3b37c2ed5fd532516a6bd68b27a16ff5f2d8196 | [
"length = len(nums)\nif length == 0:\n return nums\nleft = 0\nright = length - 1\nself.sort(nums, left, right)\nreturn nums",
"if left < right:\n partition_index = self.get_partition_index(nums, left, right)\n self.sort(nums, left, partition_index - 1)\n self.sort(nums, partition_index + 1, right)",
... | <|body_start_0|>
length = len(nums)
if length == 0:
return nums
left = 0
right = length - 1
self.sort(nums, left, right)
return nums
<|end_body_0|>
<|body_start_1|>
if left < right:
partition_index = self.get_partition_index(nums, left, ri... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def quick_sort(self, nums: list) -> list:
"""sort the array by the quick sort method :param nums: :return:"""
<|body_0|>
def sort(self, nums: list, left: int, right: int):
""":param nums: :param left: :param right: :return:"""
<|body_1|>
def ge... | stack_v2_sparse_classes_75kplus_train_003240 | 2,514 | no_license | [
{
"docstring": "sort the array by the quick sort method :param nums: :return:",
"name": "quick_sort",
"signature": "def quick_sort(self, nums: list) -> list"
},
{
"docstring": ":param nums: :param left: :param right: :return:",
"name": "sort",
"signature": "def sort(self, nums: list, lef... | 4 | stack_v2_sparse_classes_30k_train_048254 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def quick_sort(self, nums: list) -> list: sort the array by the quick sort method :param nums: :return:
- def sort(self, nums: list, left: int, right: int): :param nums: :param l... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def quick_sort(self, nums: list) -> list: sort the array by the quick sort method :param nums: :return:
- def sort(self, nums: list, left: int, right: int): :param nums: :param l... | 37710292b2cfc6060098363c8d5f8881a4c22b26 | <|skeleton|>
class Solution:
def quick_sort(self, nums: list) -> list:
"""sort the array by the quick sort method :param nums: :return:"""
<|body_0|>
def sort(self, nums: list, left: int, right: int):
""":param nums: :param left: :param right: :return:"""
<|body_1|>
def ge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def quick_sort(self, nums: list) -> list:
"""sort the array by the quick sort method :param nums: :return:"""
length = len(nums)
if length == 0:
return nums
left = 0
right = length - 1
self.sort(nums, left, right)
return nums
d... | the_stack_v2_python_sparse | python/sort/quick_sort.py | yudongnan23/algorithmRoad | train | 0 | |
80715e18997712a7c6e0771e2a2f99a8846a9e33 | [
"self._which = which\nself._executable_search_paths = executable_search_paths\nself._osutils = osutils",
"LOG.debug('checking for cargo-lambda')\nbinaries = self._which('cargo-lambda', executable_search_paths=self._executable_search_paths)\nLOG.debug('potential cargo-lambda binaries: %s', binaries)\nif binaries:\... | <|body_start_0|>
self._which = which
self._executable_search_paths = executable_search_paths
self._osutils = osutils
<|end_body_0|>
<|body_start_1|>
LOG.debug('checking for cargo-lambda')
binaries = self._which('cargo-lambda', executable_search_paths=self._executable_search_path... | Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results. | SubprocessCargoLambda | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubprocessCargoLambda:
"""Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results."""
def __init__(self, which, executable_search_paths=None, osutils=OSUtils()):
"""Parameters ---------- which : aws_lambda_builders.utils.which Function to get... | stack_v2_sparse_classes_75kplus_train_003241 | 4,323 | permissive | [
{
"docstring": "Parameters ---------- which : aws_lambda_builders.utils.which Function to get paths which conform to the given mode on the PATH with the prepended additional search paths executable_search_paths : list, optional List of paths to the NPM package binary utilities. This will be used to find embedde... | 3 | stack_v2_sparse_classes_30k_train_018932 | Implement the Python class `SubprocessCargoLambda` described below.
Class description:
Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results.
Method signatures and docstrings:
- def __init__(self, which, executable_search_paths=None, osutils=OSUtils()): Parameters ---------... | Implement the Python class `SubprocessCargoLambda` described below.
Class description:
Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results.
Method signatures and docstrings:
- def __init__(self, which, executable_search_paths=None, osutils=OSUtils()): Parameters ---------... | c90c9bc8953aa684a23a3b438c7a71cc41cce809 | <|skeleton|>
class SubprocessCargoLambda:
"""Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results."""
def __init__(self, which, executable_search_paths=None, osutils=OSUtils()):
"""Parameters ---------- which : aws_lambda_builders.utils.which Function to get... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubprocessCargoLambda:
"""Wrapper around the Cargo Lambda command line utility, making it easy to consume execution results."""
def __init__(self, which, executable_search_paths=None, osutils=OSUtils()):
"""Parameters ---------- which : aws_lambda_builders.utils.which Function to get paths which ... | the_stack_v2_python_sparse | aws_lambda_builders/workflows/rust_cargo/cargo_lambda.py | aws/aws-lambda-builders | train | 144 |
de2a96d5e994fc42504ae48fb2c3f24b2c7ec710 | [
"def postorder(root):\n return postorder(root.left) + postorder(root.right) + [root.val] if root else []\nreturn ' '.join(map(str, postorder(root)))",
"def helper(lower=float('-inf'), upper=float('inf')):\n if not data or data[-1] < lower or data[-1] > upper:\n return None\n val = data.pop()\n ... | <|body_start_0|>
def postorder(root):
return postorder(root.left) + postorder(root.right) + [root.val] if root else []
return ' '.join(map(str, postorder(root)))
<|end_body_0|>
<|body_start_1|>
def helper(lower=float('-inf'), upper=float('inf')):
if not data or data[-1] ... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize1(self, root):
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize1(self, data):
"""Decodes your encoded data to tree."""
<|body_1|>
def serialize(self, root):
"""Encodes a tree to a single string."""
<... | stack_v2_sparse_classes_75kplus_train_003242 | 1,915 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize1",
"signature": "def serialize1(self, root)"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize1",
"signature": "def deserialize1(self, data)"
},
{
"docstring": "Encodes a tree to a ... | 4 | stack_v2_sparse_classes_30k_train_017209 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize1(self, root): Encodes a tree to a single string.
- def deserialize1(self, data): Decodes your encoded data to tree.
- def serialize(self, root): Encodes a tree to a singl... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize1(self, root): Encodes a tree to a single string.
- def deserialize1(self, data): Decodes your encoded data to tree.
- def serialize(self, root): Encodes a tree to a singl... | 61966ef769b079024a6f72bcf608486343e033e6 | <|skeleton|>
class Codec:
def serialize1(self, root):
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize1(self, data):
"""Decodes your encoded data to tree."""
<|body_1|>
def serialize(self, root):
"""Encodes a tree to a single string."""
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize1(self, root):
"""Encodes a tree to a single string."""
def postorder(root):
return postorder(root.left) + postorder(root.right) + [root.val] if root else []
return ' '.join(map(str, postorder(root)))
def deserialize1(self, data):
"""Decodes... | the_stack_v2_python_sparse | lintcode/P449SerializeandDeserializeBST.py | hanrick2000/coderunpython | train | 0 | |
a2f72edc82606e21cf58be2fa1e349e4938d1a49 | [
"self.start_number = start_number\nself.rename_pairs = []\nself.zfillsize = None\nself.process_rename()",
"files = os.listdir('.')\nsorted(files)\ntotal_files = len(files)\nself.zfillsize = len(str(total_files))\nfileseq = self.start_number\nfor i, filename in enumerate(files):\n new_filename = str(fileseq).zf... | <|body_start_0|>
self.start_number = start_number
self.rename_pairs = []
self.zfillsize = None
self.process_rename()
<|end_body_0|>
<|body_start_1|>
files = os.listdir('.')
sorted(files)
total_files = len(files)
self.zfillsize = len(str(total_files))
... | This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder. | Renamer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Renamer:
"""This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder."""
def __init__(self, start_number):
"""start_number determines the first prefix ... | stack_v2_sparse_classes_75kplus_train_003243 | 2,741 | no_license | [
{
"docstring": "start_number determines the first prefix number for renames The numbering goes along the alphanumeric ordering given by sorted(files)",
"name": "__init__",
"signature": "def __init__(self, start_number)"
},
{
"docstring": "Prepare renames",
"name": "prep_rename",
"signatu... | 5 | stack_v2_sparse_classes_30k_train_030573 | Implement the Python class `Renamer` described below.
Class description:
This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder.
Method signatures and docstrings:
- def __init__(self,... | Implement the Python class `Renamer` described below.
Class description:
This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder.
Method signatures and docstrings:
- def __init__(self,... | b4c5642c8d5843846d529630f8d93a7103676539 | <|skeleton|>
class Renamer:
"""This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder."""
def __init__(self, start_number):
"""start_number determines the first prefix ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Renamer:
"""This class takes a start number as parameter, loops thru all files on folder, prefixes numbers sequencially to all files, asks rename confirmation, if confirmed, renames all files on folder."""
def __init__(self, start_number):
"""start_number determines the first prefix number for re... | the_stack_v2_python_sparse | renameNumberPrefix.py | alclass/bin | train | 0 |
28d8ca8fe401e5e77888d61cdb98f6e9f49fae94 | [
"super().__init__()\nself.filename = filename\nself.line_format = '[{0:20s}]\\t\\t[Requested: {1} -- Data: {2}]\\n'",
"f = open(self.filename, 'a')\nfor key in data:\n f.write(self.line_format.format(datetime.now().__str__(), key, data[key]))\nf.close()"
] | <|body_start_0|>
super().__init__()
self.filename = filename
self.line_format = '[{0:20s}]\t\t[Requested: {1} -- Data: {2}]\n'
<|end_body_0|>
<|body_start_1|>
f = open(self.filename, 'a')
for key in data:
f.write(self.line_format.format(datetime.now().__str__(), key,... | Implements an interface to write data to file. | FileWriter | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileWriter:
"""Implements an interface to write data to file."""
def __init__(self, filename):
"""FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to."""
<|body_0|>
def publish_dictionary(self, data):
"""... | stack_v2_sparse_classes_75kplus_train_003244 | 2,907 | permissive | [
{
"docstring": "FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "Writes a formated dictionary update to file. Keyword Arguments: data -- The data di... | 2 | stack_v2_sparse_classes_30k_train_047682 | Implement the Python class `FileWriter` described below.
Class description:
Implements an interface to write data to file.
Method signatures and docstrings:
- def __init__(self, filename): FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to.
- def publish_dic... | Implement the Python class `FileWriter` described below.
Class description:
Implements an interface to write data to file.
Method signatures and docstrings:
- def __init__(self, filename): FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to.
- def publish_dic... | b5d75cb82e4bc3e9c4e428a288c6ac98a4aa2c52 | <|skeleton|>
class FileWriter:
"""Implements an interface to write data to file."""
def __init__(self, filename):
"""FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to."""
<|body_0|>
def publish_dictionary(self, data):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FileWriter:
"""Implements an interface to write data to file."""
def __init__(self, filename):
"""FileWriter implementation of broadcaster. Keyword Arguments: filename -- the name of the file to read/write to."""
super().__init__()
self.filename = filename
self.line_format... | the_stack_v2_python_sparse | src/broadcaster/broadcaster.py | vt-sailbot/sailbot-21 | train | 5 |
a31c15d94cc0232d3f6d2ee9506a996d1bcc130c | [
"if issubclass(type_, float) and separator == '.':\n raise ValueError(f\"invalid separator '{separator}' for type '{type_.__name__}'\")\nself.type_: Type[Any] = type_\nself.separator: str = separator\nself.unique: bool = unique\nself.name: str = name or f'{type_.__name__}{separator}' * 2 + '...'",
"values_str ... | <|body_start_0|>
if issubclass(type_, float) and separator == '.':
raise ValueError(f"invalid separator '{separator}' for type '{type_.__name__}'")
self.type_: Type[Any] = type_
self.separator: str = separator
self.unique: bool = unique
self.name: str = name or f'{typ... | List of elements of a given type separated by a given character. | CharSepList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CharSepList:
"""List of elements of a given type separated by a given character."""
def __init__(self, type_: Type[Any], separator: str, *, name: Optional[str]=None, unique: bool=False) -> None:
"""Create an instance of ``CharSepList``. Args: type_: Type of list elements. separator: ... | stack_v2_sparse_classes_75kplus_train_003245 | 5,209 | permissive | [
{
"docstring": "Create an instance of ``CharSepList``. Args: type_: Type of list elements. separator: Separator of list elements. name (optional): Name of the type. If omitted, the default name is derived from ``type_`` and ``separator``. unique (optional): Whether the list elements must be unique. Example: Cre... | 2 | stack_v2_sparse_classes_30k_train_053427 | Implement the Python class `CharSepList` described below.
Class description:
List of elements of a given type separated by a given character.
Method signatures and docstrings:
- def __init__(self, type_: Type[Any], separator: str, *, name: Optional[str]=None, unique: bool=False) -> None: Create an instance of ``CharS... | Implement the Python class `CharSepList` described below.
Class description:
List of elements of a given type separated by a given character.
Method signatures and docstrings:
- def __init__(self, type_: Type[Any], separator: str, *, name: Optional[str]=None, unique: bool=False) -> None: Create an instance of ``CharS... | 879dfedc40b91157322a0b59a51e08c76257fb7b | <|skeleton|>
class CharSepList:
"""List of elements of a given type separated by a given character."""
def __init__(self, type_: Type[Any], separator: str, *, name: Optional[str]=None, unique: bool=False) -> None:
"""Create an instance of ``CharSepList``. Args: type_: Type of list elements. separator: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CharSepList:
"""List of elements of a given type separated by a given character."""
def __init__(self, type_: Type[Any], separator: str, *, name: Optional[str]=None, unique: bool=False) -> None:
"""Create an instance of ``CharSepList``. Args: type_: Type of list elements. separator: Separator of ... | the_stack_v2_python_sparse | src/srutils/click.py | MeteoSwiss-APN/pyflexplot | train | 9 |
15cf2b112c003d861e51752b5b81467034054941 | [
"super().setUp()\nself.plugin = Plugin()\nself.plugin.current_forecast = self.current_temperature_forecast_cube\nself.plugin.coefficients_cubelist = self.coeffs_from_mean",
"location_parameter = self.plugin._calculate_location_parameter_from_mean()\nself.assertCalibratedVariablesAlmostEqual(location_parameter, se... | <|body_start_0|>
super().setUp()
self.plugin = Plugin()
self.plugin.current_forecast = self.current_temperature_forecast_cube
self.plugin.coefficients_cubelist = self.coeffs_from_mean
<|end_body_0|>
<|body_start_1|>
location_parameter = self.plugin._calculate_location_parameter_... | Test the __calculate_location_parameter_from_mean method. | Test__calculate_location_parameter_from_mean | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test__calculate_location_parameter_from_mean:
"""Test the __calculate_location_parameter_from_mean method."""
def setUp(self):
"""Set-up coefficients and plugin for testing."""
<|body_0|>
def test_basic(self):
"""Test that the expected values for the location par... | stack_v2_sparse_classes_75kplus_train_003246 | 23,621 | permissive | [
{
"docstring": "Set-up coefficients and plugin for testing.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that the expected values for the location parameter are calculated when using the ensemble mean. These expected values are compared to the results when using the ... | 3 | stack_v2_sparse_classes_30k_val_001976 | Implement the Python class `Test__calculate_location_parameter_from_mean` described below.
Class description:
Test the __calculate_location_parameter_from_mean method.
Method signatures and docstrings:
- def setUp(self): Set-up coefficients and plugin for testing.
- def test_basic(self): Test that the expected values... | Implement the Python class `Test__calculate_location_parameter_from_mean` described below.
Class description:
Test the __calculate_location_parameter_from_mean method.
Method signatures and docstrings:
- def setUp(self): Set-up coefficients and plugin for testing.
- def test_basic(self): Test that the expected values... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test__calculate_location_parameter_from_mean:
"""Test the __calculate_location_parameter_from_mean method."""
def setUp(self):
"""Set-up coefficients and plugin for testing."""
<|body_0|>
def test_basic(self):
"""Test that the expected values for the location par... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test__calculate_location_parameter_from_mean:
"""Test the __calculate_location_parameter_from_mean method."""
def setUp(self):
"""Set-up coefficients and plugin for testing."""
super().setUp()
self.plugin = Plugin()
self.plugin.current_forecast = self.current_temperature_f... | the_stack_v2_python_sparse | improver_tests/calibration/ensemble_calibration/test_CalibratedForecastDistributionParameters.py | metoppv/improver | train | 101 |
669ba5d3ddcb833f1e01465ccec198b7daee4b80 | [
"super(SupportingOutputLayer, self).__init__()\nself.linear_1 = Linear(linear_weight_shape=linear_1_weight_shape, linear_bias_shape=linear_1_bias_shape)\nself.bert_layer_norm = BertLayerNorm(bert_layer_norm_weight_shape=bert_layer_norm_weight_shape, bert_layer_norm_bias_shape=bert_layer_norm_bias_shape)\nself.matmu... | <|body_start_0|>
super(SupportingOutputLayer, self).__init__()
self.linear_1 = Linear(linear_weight_shape=linear_1_weight_shape, linear_bias_shape=linear_1_bias_shape)
self.bert_layer_norm = BertLayerNorm(bert_layer_norm_weight_shape=bert_layer_norm_weight_shape, bert_layer_norm_bias_shape=bert_... | module of reader downstream | SupportingOutputLayer | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupportingOutputLayer:
"""module of reader downstream"""
def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape):
"""init function"""
<|body_0|>
def construct(self, x):
"""construct function"""
... | stack_v2_sparse_classes_75kplus_train_003247 | 9,011 | permissive | [
{
"docstring": "init function",
"name": "__init__",
"signature": "def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape)"
},
{
"docstring": "construct function",
"name": "construct",
"signature": "def construct(self, x)"
... | 2 | stack_v2_sparse_classes_30k_train_045211 | Implement the Python class `SupportingOutputLayer` described below.
Class description:
module of reader downstream
Method signatures and docstrings:
- def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape): init function
- def construct(self, x): const... | Implement the Python class `SupportingOutputLayer` described below.
Class description:
module of reader downstream
Method signatures and docstrings:
- def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape): init function
- def construct(self, x): const... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class SupportingOutputLayer:
"""module of reader downstream"""
def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape):
"""init function"""
<|body_0|>
def construct(self, x):
"""construct function"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SupportingOutputLayer:
"""module of reader downstream"""
def __init__(self, linear_1_weight_shape, linear_1_bias_shape, bert_layer_norm_weight_shape, bert_layer_norm_bias_shape):
"""init function"""
super(SupportingOutputLayer, self).__init__()
self.linear_1 = Linear(linear_weight... | the_stack_v2_python_sparse | research/nlp/tprr/src/reader_downstream.py | mindspore-ai/models | train | 301 |
cd102f5300af6281e69c5382e2b46cbdff469242 | [
"if len(s) == 0:\n return -1\nsat = {}\nfor i in s:\n if i not in sat:\n sat[i] = 1\n else:\n sat[i] += 1\nfor c, i in enumerate(s):\n if sat[i] == 1:\n return c\nreturn -1",
"char = {}\nfor i in range(len(s)):\n if s[i] not in char:\n char[s[i]] = i\n else:\n ... | <|body_start_0|>
if len(s) == 0:
return -1
sat = {}
for i in s:
if i not in sat:
sat[i] = 1
else:
sat[i] += 1
for c, i in enumerate(s):
if sat[i] == 1:
return c
return -1
<|end_body_0|... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def firstUniqChar(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def firstUniqChar2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) == 0:
return -1
sat = {}
f... | stack_v2_sparse_classes_75kplus_train_003248 | 1,380 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "firstUniqChar",
"signature": "def firstUniqChar(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "firstUniqChar2",
"signature": "def firstUniqChar2(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def firstUniqChar(self, s): :type s: str :rtype: int
- def firstUniqChar2(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def firstUniqChar(self, s): :type s: str :rtype: int
- def firstUniqChar2(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def firstUniqChar(self, s):
... | 2d5fa4cd696d5035ea8859befeadc5cc436959c9 | <|skeleton|>
class Solution:
def firstUniqChar(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def firstUniqChar2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def firstUniqChar(self, s):
""":type s: str :rtype: int"""
if len(s) == 0:
return -1
sat = {}
for i in s:
if i not in sat:
sat[i] = 1
else:
sat[i] += 1
for c, i in enumerate(s):
if... | the_stack_v2_python_sparse | SourceCode/Python/Problem/00387.First_Unique_Character_in_a_String.py | roger6blog/LeetCode | train | 0 | |
163373fe25c3323235d1139532c49f5c9aa32ddf | [
"self.root = root\nself.tlh = tlh\nself.top_level = Tkinter.Toplevel(self.root)\nself.top_level.transient(self.root)\nself.top_level.grab_set()\nself.top_level.bind('<Return>', self._cancel)\nself.top_level.bind('<Escape>', self._cancel)\nself.top_level.title('Error!')\nif message:\n Tkinter.Label(self.top_level... | <|body_start_0|>
self.root = root
self.tlh = tlh
self.top_level = Tkinter.Toplevel(self.root)
self.top_level.transient(self.root)
self.top_level.grab_set()
self.top_level.bind('<Return>', self._cancel)
self.top_level.bind('<Escape>', self._cancel)
self.top... | show_error_and_exit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class show_error_and_exit:
def __init__(self, root=None, tlh=None, message=None):
"""Display an error message in a widget with an "Exit" button until the button is clicked."""
<|body_0|>
def _cancel(self, event=None):
"""The button has been clicked. Restore the TCL_LIBRARY... | stack_v2_sparse_classes_75kplus_train_003249 | 13,571 | no_license | [
{
"docstring": "Display an error message in a widget with an \"Exit\" button until the button is clicked.",
"name": "__init__",
"signature": "def __init__(self, root=None, tlh=None, message=None)"
},
{
"docstring": "The button has been clicked. Restore the TCL_LIBRARY environment variable to its... | 2 | stack_v2_sparse_classes_30k_train_015384 | Implement the Python class `show_error_and_exit` described below.
Class description:
Implement the show_error_and_exit class.
Method signatures and docstrings:
- def __init__(self, root=None, tlh=None, message=None): Display an error message in a widget with an "Exit" button until the button is clicked.
- def _cancel... | Implement the Python class `show_error_and_exit` described below.
Class description:
Implement the show_error_and_exit class.
Method signatures and docstrings:
- def __init__(self, root=None, tlh=None, message=None): Display an error message in a widget with an "Exit" button until the button is clicked.
- def _cancel... | bff2d8c9e5e1ead4018f63098c1adea0e0c28184 | <|skeleton|>
class show_error_and_exit:
def __init__(self, root=None, tlh=None, message=None):
"""Display an error message in a widget with an "Exit" button until the button is clicked."""
<|body_0|>
def _cancel(self, event=None):
"""The button has been clicked. Restore the TCL_LIBRARY... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class show_error_and_exit:
def __init__(self, root=None, tlh=None, message=None):
"""Display an error message in a widget with an "Exit" button until the button is clicked."""
self.root = root
self.tlh = tlh
self.top_level = Tkinter.Toplevel(self.root)
self.top_level.transien... | the_stack_v2_python_sparse | adk/tools/packages/menus/pydbgCoredump.py | litterstar7/Qualcomm_BT_Audio | train | 4 | |
34ab408d0d89991e46f0701c5ec45f078153e577 | [
"super().setUpClass()\ncls.cinder_ceph_app_name = 'cinder-ceph'\ncls.test_cinder_volume_name = 'test-cinder-ceph-volume'\ncls.site_a_model = cls.site_b_model = zaza.model.get_juju_model()\ncls.site_b_app_suffix = '-b'",
"action_params = {'verbose': True, 'format': 'json'}\nif len(pools) > 0:\n action_params['p... | <|body_start_0|>
super().setUpClass()
cls.cinder_ceph_app_name = 'cinder-ceph'
cls.test_cinder_volume_name = 'test-cinder-ceph-volume'
cls.site_a_model = cls.site_b_model = zaza.model.get_juju_model()
cls.site_b_app_suffix = '-b'
<|end_body_0|>
<|body_start_1|>
action_pa... | Base class for ``ceph-rbd-mirror`` tests. | CephRBDMirrorBase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CephRBDMirrorBase:
"""Base class for ``ceph-rbd-mirror`` tests."""
def setUpClass(cls):
"""Run setup for ``ceph-rbd-mirror`` tests."""
<|body_0|>
def run_status_action(self, application_name=None, model_name=None, pools=[]):
"""Run status action, decode and retur... | stack_v2_sparse_classes_75kplus_train_003250 | 33,962 | permissive | [
{
"docstring": "Run setup for ``ceph-rbd-mirror`` tests.",
"name": "setUpClass",
"signature": "def setUpClass(cls)"
},
{
"docstring": "Run status action, decode and return response.",
"name": "run_status_action",
"signature": "def run_status_action(self, application_name=None, model_name... | 6 | stack_v2_sparse_classes_30k_train_024797 | Implement the Python class `CephRBDMirrorBase` described below.
Class description:
Base class for ``ceph-rbd-mirror`` tests.
Method signatures and docstrings:
- def setUpClass(cls): Run setup for ``ceph-rbd-mirror`` tests.
- def run_status_action(self, application_name=None, model_name=None, pools=[]): Run status act... | Implement the Python class `CephRBDMirrorBase` described below.
Class description:
Base class for ``ceph-rbd-mirror`` tests.
Method signatures and docstrings:
- def setUpClass(cls): Run setup for ``ceph-rbd-mirror`` tests.
- def run_status_action(self, application_name=None, model_name=None, pools=[]): Run status act... | 3b17ad9d97c57b6e62797d4e3333e4b83e43a447 | <|skeleton|>
class CephRBDMirrorBase:
"""Base class for ``ceph-rbd-mirror`` tests."""
def setUpClass(cls):
"""Run setup for ``ceph-rbd-mirror`` tests."""
<|body_0|>
def run_status_action(self, application_name=None, model_name=None, pools=[]):
"""Run status action, decode and retur... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CephRBDMirrorBase:
"""Base class for ``ceph-rbd-mirror`` tests."""
def setUpClass(cls):
"""Run setup for ``ceph-rbd-mirror`` tests."""
super().setUpClass()
cls.cinder_ceph_app_name = 'cinder-ceph'
cls.test_cinder_volume_name = 'test-cinder-ceph-volume'
cls.site_a_m... | the_stack_v2_python_sparse | zaza/openstack/charm_tests/ceph/rbd_mirror/tests.py | openstack-charmers/zaza-openstack-tests | train | 7 |
7c65c1f87e7479845c8be9e88462f3b715e71f46 | [
"if subkey is not None:\n return self.store_subkey(key, subkey, value, expiration_time)\nelse:\n return super().store(key, value, expiration_time)",
"previous_value, previous_expiration_time = self.get(key) or (b'', -float('inf'))\nif isinstance(previous_value, BinaryDHTValue) and expiration_time > previous... | <|body_start_0|>
if subkey is not None:
return self.store_subkey(key, subkey, value, expiration_time)
else:
return super().store(key, value, expiration_time)
<|end_body_0|>
<|body_start_1|>
previous_value, previous_expiration_time = self.get(key) or (b'', -float('inf'))
... | A dictionary-like storage that can store binary values and/or nested dictionaries until expiration | DHTLocalStorage | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DHTLocalStorage:
"""A dictionary-like storage that can store binary values and/or nested dictionaries until expiration"""
def store(self, key: DHTID, value: BinaryDHTValue, expiration_time: DHTExpiration, subkey: Optional[Subkey]=None) -> bool:
"""Store a (key, value) pair locally at... | stack_v2_sparse_classes_75kplus_train_003251 | 3,757 | permissive | [
{
"docstring": "Store a (key, value) pair locally at least until expiration_time. See class docstring for details. If subkey is not None, adds a subkey-value pair to a dictionary associated with :key: (see store_subkey below) :returns: True if new value was stored, False it was rejected (current value is newer)... | 2 | stack_v2_sparse_classes_30k_train_005042 | Implement the Python class `DHTLocalStorage` described below.
Class description:
A dictionary-like storage that can store binary values and/or nested dictionaries until expiration
Method signatures and docstrings:
- def store(self, key: DHTID, value: BinaryDHTValue, expiration_time: DHTExpiration, subkey: Optional[Su... | Implement the Python class `DHTLocalStorage` described below.
Class description:
A dictionary-like storage that can store binary values and/or nested dictionaries until expiration
Method signatures and docstrings:
- def store(self, key: DHTID, value: BinaryDHTValue, expiration_time: DHTExpiration, subkey: Optional[Su... | 27318f96a62bb4c7c8804cb14359d8a70e95af5d | <|skeleton|>
class DHTLocalStorage:
"""A dictionary-like storage that can store binary values and/or nested dictionaries until expiration"""
def store(self, key: DHTID, value: BinaryDHTValue, expiration_time: DHTExpiration, subkey: Optional[Subkey]=None) -> bool:
"""Store a (key, value) pair locally at... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DHTLocalStorage:
"""A dictionary-like storage that can store binary values and/or nested dictionaries until expiration"""
def store(self, key: DHTID, value: BinaryDHTValue, expiration_time: DHTExpiration, subkey: Optional[Subkey]=None) -> bool:
"""Store a (key, value) pair locally at least until ... | the_stack_v2_python_sparse | hivemind/dht/storage.py | learning-at-home/hivemind | train | 1,662 |
80d599a72b2874f7c907b3cc362274669670f885 | [
"super().__init__(input_key, output_key or input_key)\nself.dtype = dtype\nself.default_value = default_value\nself.one_hot_classes = one_hot_classes\nself.smoothing = smoothing\nif self.one_hot_classes is not None and self.smoothing is not None:\n assert 0.0 < smoothing < 1.0, 'If smoothing is specified it must... | <|body_start_0|>
super().__init__(input_key, output_key or input_key)
self.dtype = dtype
self.default_value = default_value
self.one_hot_classes = one_hot_classes
self.smoothing = smoothing
if self.one_hot_classes is not None and self.smoothing is not None:
as... | Numeric data reader abstraction. Reads a single float, int, str or other from data | ScalarReader | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScalarReader:
"""Numeric data reader abstraction. Reads a single float, int, str or other from data"""
def __init__(self, input_key: str, output_key: Optional[str]=None, dtype: Type=np.float32, default_value: float=None, one_hot_classes: int=None, smoothing: float=None):
"""Args: inp... | stack_v2_sparse_classes_75kplus_train_003252 | 5,229 | permissive | [
{
"docstring": "Args: input_key: input key to use from annotation dict output_key: output key to use to store the result, default: ``input_key`` dtype: datatype of scalar values to use default_value: default value to use if something goes wrong one_hot_classes: number of one-hot classes smoothing (float, option... | 2 | stack_v2_sparse_classes_30k_train_027436 | Implement the Python class `ScalarReader` described below.
Class description:
Numeric data reader abstraction. Reads a single float, int, str or other from data
Method signatures and docstrings:
- def __init__(self, input_key: str, output_key: Optional[str]=None, dtype: Type=np.float32, default_value: float=None, one... | Implement the Python class `ScalarReader` described below.
Class description:
Numeric data reader abstraction. Reads a single float, int, str or other from data
Method signatures and docstrings:
- def __init__(self, input_key: str, output_key: Optional[str]=None, dtype: Type=np.float32, default_value: float=None, one... | e99f90655d0efcf22559a46e928f0f98c9807ebf | <|skeleton|>
class ScalarReader:
"""Numeric data reader abstraction. Reads a single float, int, str or other from data"""
def __init__(self, input_key: str, output_key: Optional[str]=None, dtype: Type=np.float32, default_value: float=None, one_hot_classes: int=None, smoothing: float=None):
"""Args: inp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScalarReader:
"""Numeric data reader abstraction. Reads a single float, int, str or other from data"""
def __init__(self, input_key: str, output_key: Optional[str]=None, dtype: Type=np.float32, default_value: float=None, one_hot_classes: int=None, smoothing: float=None):
"""Args: input_key: input... | the_stack_v2_python_sparse | catalyst/contrib/data/reader.py | catalyst-team/catalyst | train | 3,038 |
c87b5f435ace6e515cb65a064ee8eecbaad7fad9 | [
"yield (None, 'port grouping is determined by the global default.')\nyield (False, 'ports are not grouped in an additional record.')\nyield (re.compile('[a-zA-Z][a-zA-Z0-9_]*'), 'ports are grouped in a record with the specified name.')",
"yield (None, 'port flattening is determined by the global default.')\nyield... | <|body_start_0|>
yield (None, 'port grouping is determined by the global default.')
yield (False, 'ports are not grouped in an additional record.')
yield (re.compile('[a-zA-Z][a-zA-Z0-9_]*'), 'ports are grouped in a record with the specified name.')
<|end_body_0|>
<|body_start_1|>
yield... | Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by field/interrupt into records while generics are flattened, but either can be overridd... | InterfaceConfig | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InterfaceConfig:
"""Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by field/interrupt into records while generic... | stack_v2_sparse_classes_75kplus_train_003253 | 3,434 | permissive | [
{
"docstring": "Name of the group record used for ports, if any. The ports for any objects that share the same non-null `group` tag are combined into a single record pair (`in` and `out`).",
"name": "group",
"signature": "def group()"
},
{
"docstring": "Whether the ports for this object should b... | 4 | stack_v2_sparse_classes_30k_train_025931 | Implement the Python class `InterfaceConfig` described below.
Class description:
Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by fie... | Implement the Python class `InterfaceConfig` described below.
Class description:
Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by fie... | d0417925cd72dfb973431d6948e65b662a75c5fa | <|skeleton|>
class InterfaceConfig:
"""Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by field/interrupt into records while generic... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InterfaceConfig:
"""Each field and interrupt in `vhdmmio` can register scalar and vector inputs and outputs, as well as generics. This configuration structure determines how these interfaces are exposed in the entity. By default, the ports are grouped by field/interrupt into records while generics are flatten... | the_stack_v2_python_sparse | vhdmmio/config/interface.py | abs-tudelft/vhdmmio | train | 5 |
aaf4c6919b61cca96ecd1f0c5338a6d55e3a508c | [
"index = 0\nresult = 0\ncount = 0\ncutline = -1\ndictionary = {}\nwhile index < len(s):\n chr = s[index]\n oldIndex = dictionary.get(chr, -1)\n if oldIndex == -1 or cutline >= oldIndex:\n dictionary[chr] = index\n count += 1\n else:\n if result < count:\n result = count\n... | <|body_start_0|>
index = 0
result = 0
count = 0
cutline = -1
dictionary = {}
while index < len(s):
chr = s[index]
oldIndex = dictionary.get(chr, -1)
if oldIndex == -1 or cutline >= oldIndex:
dictionary[chr] = index
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
index = 0
result = 0
count... | stack_v2_sparse_classes_75kplus_train_003254 | 1,257 | permissive | [
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring",
"signature": "def lengthOfLongestSubstring(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "lengthOfLongestSubstring2",
"signature": "def lengthOfLongestSubstring2(self, s)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring2(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLongestSubstring(self, s): :type s: str :rtype: int
- def lengthOfLongestSubstring2(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def lengthOf... | c8bf33af30569177c5276ffcd72a8d93ba4c402a | <|skeleton|>
class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def lengthOfLongestSubstring2(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lengthOfLongestSubstring(self, s):
""":type s: str :rtype: int"""
index = 0
result = 0
count = 0
cutline = -1
dictionary = {}
while index < len(s):
chr = s[index]
oldIndex = dictionary.get(chr, -1)
if old... | the_stack_v2_python_sparse | 1-100/1-10/3-longestSubstring/longestSubstring.py | xuychen/Leetcode | train | 0 | |
18e3d8f86b9310fe9df271e8440e83b809b66b3e | [
"ConfigParameters.__init__(self)\nself.declareBaseParameters()\nif __name__ == '__main__':\n self.fname_cp = './confpars-def.txt'\n self.readParametersFromFile()",
"self.list_of_sources = None\nself.instr_dir = self.declareParameter(name='INSTRUMENT_DIR', val_def='/reg/d/psdm', type='str')\nself.instr_name ... | <|body_start_0|>
ConfigParameters.__init__(self)
self.declareBaseParameters()
if __name__ == '__main__':
self.fname_cp = './confpars-def.txt'
self.readParametersFromFile()
<|end_body_0|>
<|body_start_1|>
self.list_of_sources = None
self.instr_dir = self.d... | A storage of configuration parameters for Experiment Monitor (EM) project. | PSConfigParameters | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PSConfigParameters:
"""A storage of configuration parameters for Experiment Monitor (EM) project."""
def __init__(self, fname=None):
"""fname : str - the file name with configuration parameters, if not specified then use default."""
<|body_0|>
def declareBaseParameters(s... | stack_v2_sparse_classes_75kplus_train_003255 | 3,994 | no_license | [
{
"docstring": "fname : str - the file name with configuration parameters, if not specified then use default.",
"name": "__init__",
"signature": "def __init__(self, fname=None)"
},
{
"docstring": "Declaration of common paramaters for all PS apps",
"name": "declareBaseParameters",
"signat... | 2 | null | Implement the Python class `PSConfigParameters` described below.
Class description:
A storage of configuration parameters for Experiment Monitor (EM) project.
Method signatures and docstrings:
- def __init__(self, fname=None): fname : str - the file name with configuration parameters, if not specified then use defaul... | Implement the Python class `PSConfigParameters` described below.
Class description:
A storage of configuration parameters for Experiment Monitor (EM) project.
Method signatures and docstrings:
- def __init__(self, fname=None): fname : str - the file name with configuration parameters, if not specified then use defaul... | 2b929d7526a151d8efdd9447756f807b171c00d7 | <|skeleton|>
class PSConfigParameters:
"""A storage of configuration parameters for Experiment Monitor (EM) project."""
def __init__(self, fname=None):
"""fname : str - the file name with configuration parameters, if not specified then use default."""
<|body_0|>
def declareBaseParameters(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PSConfigParameters:
"""A storage of configuration parameters for Experiment Monitor (EM) project."""
def __init__(self, fname=None):
"""fname : str - the file name with configuration parameters, if not specified then use default."""
ConfigParameters.__init__(self)
self.declareBase... | the_stack_v2_python_sparse | src/PSConfigParameters.py | lcls-psana/expmon | train | 0 |
4a568831581b53f29c13b0bfcba6db435b34bc84 | [
"try:\n story = story_fetchers.get_story_from_model(story_model)\n story.validate()\n assert topic_id_to_topic is not None\n corresponding_topic = topic_id_to_topic[story.corresponding_topic_id]\n story_services.validate_prerequisite_skills_in_story_contents(corresponding_topic.get_all_skill_ids(), s... | <|body_start_0|>
try:
story = story_fetchers.get_story_from_model(story_model)
story.validate()
assert topic_id_to_topic is not None
corresponding_topic = topic_id_to_topic[story.corresponding_topic_id]
story_services.validate_prerequisite_skills_in_st... | Transform that gets all Story models, performs migration and filters any error results. | MigrateStoryModels | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MigrateStoryModels:
"""Transform that gets all Story models, performs migration and filters any error results."""
def _migrate_story(story_id: str, story_model: story_models.StoryModel, topic_id_to_topic: Optional[Dict[str, topic_domain.Topic]]=None) -> result.Result[Tuple[str, story_domain.... | stack_v2_sparse_classes_75kplus_train_003256 | 14,753 | permissive | [
{
"docstring": "Migrates story and transform story model into story object. Args: story_id: str. The id of the story. story_model: StoryModel. The story model to migrate. topic_id_to_topic: dict(str, Topic). The mapping from topic ID to topic. Returns: Result((str, Story), (str, Exception)). Result containing t... | 3 | stack_v2_sparse_classes_30k_train_044253 | Implement the Python class `MigrateStoryModels` described below.
Class description:
Transform that gets all Story models, performs migration and filters any error results.
Method signatures and docstrings:
- def _migrate_story(story_id: str, story_model: story_models.StoryModel, topic_id_to_topic: Optional[Dict[str, ... | Implement the Python class `MigrateStoryModels` described below.
Class description:
Transform that gets all Story models, performs migration and filters any error results.
Method signatures and docstrings:
- def _migrate_story(story_id: str, story_model: story_models.StoryModel, topic_id_to_topic: Optional[Dict[str, ... | d16fdf23d790eafd63812bd7239532256e30a21d | <|skeleton|>
class MigrateStoryModels:
"""Transform that gets all Story models, performs migration and filters any error results."""
def _migrate_story(story_id: str, story_model: story_models.StoryModel, topic_id_to_topic: Optional[Dict[str, topic_domain.Topic]]=None) -> result.Result[Tuple[str, story_domain.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MigrateStoryModels:
"""Transform that gets all Story models, performs migration and filters any error results."""
def _migrate_story(story_id: str, story_model: story_models.StoryModel, topic_id_to_topic: Optional[Dict[str, topic_domain.Topic]]=None) -> result.Result[Tuple[str, story_domain.Story], Tuple... | the_stack_v2_python_sparse | core/jobs/batch_jobs/story_migration_jobs.py | oppia/oppia | train | 6,172 |
c4b33bbefec626b282378f9a84f76f6fe4888843 | [
"super().__init__(send_type='ding', send_config=send_config)\ndd_token = send_config.get('dd_token', Config.DD_TOKEN)\nself.url = f'https://oapi.dingtalk.com/robot/send?access_token={dd_token}'",
"doc_id = send_data['doc_id']\ndoc_name = send_data['doc_name']\ndoc_source = send_data['doc_source']\ndoc_link = send... | <|body_start_0|>
super().__init__(send_type='ding', send_config=send_config)
dd_token = send_config.get('dd_token', Config.DD_TOKEN)
self.url = f'https://oapi.dingtalk.com/robot/send?access_token={dd_token}'
<|end_body_0|>
<|body_start_1|>
doc_id = send_data['doc_id']
doc_name =... | 钉钉分发类 | DingSender | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DingSender:
"""钉钉分发类"""
def __init__(self, send_config: dict):
"""初始化相关变量 :param send_config:"""
<|body_0|>
def send(self, send_data) -> bool:
"""下发到钉钉终端 :param send_data: 下发内容字典，字段开发者自定义 :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_003257 | 3,794 | permissive | [
{
"docstring": "初始化相关变量 :param send_config:",
"name": "__init__",
"signature": "def __init__(self, send_config: dict)"
},
{
"docstring": "下发到钉钉终端 :param send_data: 下发内容字典，字段开发者自定义 :return:",
"name": "send",
"signature": "def send(self, send_data) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_train_037394 | Implement the Python class `DingSender` described below.
Class description:
钉钉分发类
Method signatures and docstrings:
- def __init__(self, send_config: dict): 初始化相关变量 :param send_config:
- def send(self, send_data) -> bool: 下发到钉钉终端 :param send_data: 下发内容字典，字段开发者自定义 :return: | Implement the Python class `DingSender` described below.
Class description:
钉钉分发类
Method signatures and docstrings:
- def __init__(self, send_config: dict): 初始化相关变量 :param send_config:
- def send(self, send_data) -> bool: 下发到钉钉终端 :param send_data: 下发内容字典，字段开发者自定义 :return:
<|skeleton|>
class DingSender:
"""钉钉分发类"... | 2b1093c9f15c713dac51aec5c1244ec285e49782 | <|skeleton|>
class DingSender:
"""钉钉分发类"""
def __init__(self, send_config: dict):
"""初始化相关变量 :param send_config:"""
<|body_0|>
def send(self, send_data) -> bool:
"""下发到钉钉终端 :param send_data: 下发内容字典，字段开发者自定义 :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DingSender:
"""钉钉分发类"""
def __init__(self, send_config: dict):
"""初始化相关变量 :param send_config:"""
super().__init__(send_type='ding', send_config=send_config)
dd_token = send_config.get('dd_token', Config.DD_TOKEN)
self.url = f'https://oapi.dingtalk.com/robot/send?access_tok... | the_stack_v2_python_sparse | src/sender/ding_sender.py | baboon-king/2c | train | 0 |
bffd9c525951410739e5c89a9eef84a7a23756dc | [
"def recursion_core(element, start):\n if start == len(element):\n comb.append(element[:])\n else:\n for i in range(start, len(element)):\n element[i], element[start] = (element[start], element[i])\n recursion_core(element, start + 1)\n element[i], element[start]... | <|body_start_0|>
def recursion_core(element, start):
if start == len(element):
comb.append(element[:])
else:
for i in range(start, len(element)):
element[i], element[start] = (element[start], element[i])
recursion_co... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permute_2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def recursion_core(element,... | stack_v2_sparse_classes_75kplus_train_003258 | 1,045 | permissive | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "permute",
"signature": "def permute(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "permute_2",
"signature": "def permute_2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_054567 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_2(self, nums): :type nums: List[int] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def permute_2(self, nums): :type nums: List[int] :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | 1a73ce6e81cf8c3ebe58f736204dc686e85d44c5 | <|skeleton|>
class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permute_2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def permute(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
def recursion_core(element, start):
if start == len(element):
comb.append(element[:])
else:
for i in range(start, len(element)):
el... | the_stack_v2_python_sparse | leetcode/46_permutations.py | Run0812/Algorithm-Learning | train | 0 | |
c87ee79af6bd24fbbecb41be4fa66fbf5cf3b09b | [
"self.W = W\nself.b = b\nself.x = None\nself.db = None\nself.dW = None",
"self.x = x\nout = np.dot(x, self.W) + self.b\nreturn out",
"dx = np.dot(dout, self.W.T)\nself.dW = np.dot(self.x.T, dout)\nself.db = np.sum(dout, axis=0)\nreturn dx"
] | <|body_start_0|>
self.W = W
self.b = b
self.x = None
self.db = None
self.dW = None
<|end_body_0|>
<|body_start_1|>
self.x = x
out = np.dot(x, self.W) + self.b
return out
<|end_body_1|>
<|body_start_2|>
dx = np.dot(dout, self.W.T)
self.dW ... | 신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다. | Affine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Affine:
"""신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다."""
def __init__(self, W, b):
"""입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다. :param W: numpy matrix : 가중치 :param b: numpy array : 편향... | stack_v2_sparse_classes_75kplus_train_003259 | 7,302 | permissive | [
{
"docstring": "입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다. :param W: numpy matrix : 가중치 :param b: numpy array : 편향",
"name": "__init__",
"signature": "def __init__(self, W, b)"
},
{
"docstring": "순전파 :param x: numpy m... | 3 | stack_v2_sparse_classes_30k_train_036879 | Implement the Python class `Affine` described below.
Class description:
신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다.
Method signatures and docstrings:
- def __init__(self, W, b): 입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다... | Implement the Python class `Affine` described below.
Class description:
신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다.
Method signatures and docstrings:
- def __init__(self, W, b): 입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다... | 4d319c8729472cc5f490935854441a2d4b4e8818 | <|skeleton|>
class Affine:
"""신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다."""
def __init__(self, W, b):
"""입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다. :param W: numpy matrix : 가중치 :param b: numpy array : 편향... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Affine:
"""신경망의 순전파에서 행해지는 내적을 기하학에서는 어파인 변환 affine transformation 이라고 한다."""
def __init__(self, W, b):
"""입력에 가중치를 곱하고 편향을 더하는 affine 변환 전체를 정의한 클래스이므로 가중치 W, 편향 b 를 포함하고, 이 값들을 갱신하기 위해 dW, db 값을 갖는다. 미분값을 역전파하기위해서 입력 x 를 보관한다. :param W: numpy matrix : 가중치 :param b: numpy array : 편향"""
s... | the_stack_v2_python_sparse | DeepLearning/DeepLearning/09_Deep_SongJW/ch5/layers.py | ghost9023/DeepLearningPythonStudy | train | 1 |
adcdcacbe23177ce6da0b52e8d9bca3eba65918f | [
"self.kind = kind\nslideLexer.lineno = lineno\nself.title = slideParser.parse(title, slideLexer)\nslideLexer.lineno = lineno + 1\nself.children = slideParser.parse(content, slideLexer)\nself.overlay = overlay or ''",
"title = ''.join(map(lambda x: str(x), self.title))\nself.before = self.explainBefore + Config.ge... | <|body_start_0|>
self.kind = kind
slideLexer.lineno = lineno
self.title = slideParser.parse(title, slideLexer)
slideLexer.lineno = lineno + 1
self.children = slideParser.parse(content, slideLexer)
self.overlay = overlay or ''
<|end_body_0|>
<|body_start_1|>
title... | Box | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Box:
def lateInit(self, kind, title, content, overlay, lineno, **kw):
"""Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: Box content (will be parsed) :param overlay: Beamer overlay command :param lineno: Line numb... | stack_v2_sparse_classes_75kplus_train_003260 | 29,071 | permissive | [
{
"docstring": "Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: Box content (will be parsed) :param overlay: Beamer overlay command :param lineno: Line number at the beginning of box",
"name": "lateInit",
"signature": "def lateIn... | 2 | stack_v2_sparse_classes_30k_train_044751 | Implement the Python class `Box` described below.
Class description:
Implement the Box class.
Method signatures and docstrings:
- def lateInit(self, kind, title, content, overlay, lineno, **kw): Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: ... | Implement the Python class `Box` described below.
Class description:
Implement the Box class.
Method signatures and docstrings:
- def lateInit(self, kind, title, content, overlay, lineno, **kw): Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: ... | fbd2c7a72ed2b6347a131a5b54740e7b15bf1624 | <|skeleton|>
class Box:
def lateInit(self, kind, title, content, overlay, lineno, **kw):
"""Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: Box content (will be parsed) :param overlay: Beamer overlay command :param lineno: Line numb... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Box:
def lateInit(self, kind, title, content, overlay, lineno, **kw):
"""Initialise box :param kind: Symbol (one of ?!*) denoting box kind :param title: Box title (will be parsed) :param content: Box content (will be parsed) :param overlay: Beamer overlay command :param lineno: Line number at the begi... | the_stack_v2_python_sparse | beamr/interpreters/hierarchical.py | teonistor/beamr | train | 5 | |
51e3d1e21cf07757485a41632db4ef092670d956 | [
"if single:\n listing = get_object_or_404(Listing, **filter)\n ids = Similarity.objects.filter(Q(listing_1=listing) | Q(listing_2=listing)).values_list('listing_1', 'listing_2').order_by('-score')[:5]\n pks = set([id[0] for id in ids] + [id[1] for id in ids])\n if len(pks) > 0:\n pks.remove(listi... | <|body_start_0|>
if single:
listing = get_object_or_404(Listing, **filter)
ids = Similarity.objects.filter(Q(listing_1=listing) | Q(listing_2=listing)).values_list('listing_1', 'listing_2').order_by('-score')[:5]
pks = set([id[0] for id in ids] + [id[1] for id in ids])
... | ListingView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ListingView:
def get_listing(self, filter, single=False):
"""Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template"""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Get listings based o... | stack_v2_sparse_classes_75kplus_train_003261 | 6,828 | no_license | [
{
"docstring": "Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template",
"name": "get_listing",
"signature": "def get_listing(self, filter, single=False)"
},
{
"docstring": "Get listings based on the input arguments. it ret... | 2 | stack_v2_sparse_classes_30k_train_001996 | Implement the Python class `ListingView` described below.
Class description:
Implement the ListingView class.
Method signatures and docstrings:
- def get_listing(self, filter, single=False): Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template... | Implement the Python class `ListingView` described below.
Class description:
Implement the ListingView class.
Method signatures and docstrings:
- def get_listing(self, filter, single=False): Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template... | c87755c6fcc487768ace72e5d9617c67295299fd | <|skeleton|>
class ListingView:
def get_listing(self, filter, single=False):
"""Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template"""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Get listings based o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ListingView:
def get_listing(self, filter, single=False):
"""Retrives listings based on the 'filter' or 404 :param: filter a query Returns the listing dictionary to be sent to the template"""
if single:
listing = get_object_or_404(Listing, **filter)
ids = Similarity.obj... | the_stack_v2_python_sparse | feira/fair/views.py | fmstam/feira | train | 0 | |
98db7cb9c3df6058da52be6c2e1589e028090bd4 | [
"dofs = numpy.arange(self.ndof)\nfixed = numpy.union1d(dofs[0:2 * (self.nely + 1):2], numpy.array([2 * (self.nelx + 1) * (self.nely + 1) - 1]))\nreturn fixed",
"f = numpy.zeros((self.ndof, 1))\nf[1, 0] = -1\nreturn f"
] | <|body_start_0|>
dofs = numpy.arange(self.ndof)
fixed = numpy.union1d(dofs[0:2 * (self.nely + 1):2], numpy.array([2 * (self.nelx + 1) * (self.nely + 1) - 1]))
return fixed
<|end_body_0|>
<|body_start_1|>
f = numpy.zeros((self.ndof, 1))
f[1, 0] = -1
return f
<|end_body_1|... | Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam. | MBBBeamBoundaryConditions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MBBBeamBoundaryConditions:
"""Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam."""
def fixed_nodes(self):
""":obj:`numpy.ndarray`: Fixed nodes in the bottom corners."""
<|body_0|>
def forces(self):
""":obj:`numpy.ndarray`: Force vector in the top... | stack_v2_sparse_classes_75kplus_train_003262 | 8,719 | no_license | [
{
"docstring": ":obj:`numpy.ndarray`: Fixed nodes in the bottom corners.",
"name": "fixed_nodes",
"signature": "def fixed_nodes(self)"
},
{
"docstring": ":obj:`numpy.ndarray`: Force vector in the top center.",
"name": "forces",
"signature": "def forces(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010702 | Implement the Python class `MBBBeamBoundaryConditions` described below.
Class description:
Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam.
Method signatures and docstrings:
- def fixed_nodes(self): :obj:`numpy.ndarray`: Fixed nodes in the bottom corners.
- def forces(self): :obj:`numpy.ndarray`: Fo... | Implement the Python class `MBBBeamBoundaryConditions` described below.
Class description:
Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam.
Method signatures and docstrings:
- def fixed_nodes(self): :obj:`numpy.ndarray`: Fixed nodes in the bottom corners.
- def forces(self): :obj:`numpy.ndarray`: Fo... | 067bf9b768e020b3de15fc1dee06c2ca36875619 | <|skeleton|>
class MBBBeamBoundaryConditions:
"""Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam."""
def fixed_nodes(self):
""":obj:`numpy.ndarray`: Fixed nodes in the bottom corners."""
<|body_0|>
def forces(self):
""":obj:`numpy.ndarray`: Force vector in the top... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MBBBeamBoundaryConditions:
"""Boundary conditions for the Messerschmitt–Bölkow–Blohm (MBB) beam."""
def fixed_nodes(self):
""":obj:`numpy.ndarray`: Fixed nodes in the bottom corners."""
dofs = numpy.arange(self.ndof)
fixed = numpy.union1d(dofs[0:2 * (self.nely + 1):2], numpy.array... | the_stack_v2_python_sparse | topopt/boundary_conditions.py | carloshernangarrido/topopt1 | train | 0 |
d4cbb741b8ec547b373a190af7c89ec71a382815 | [
"self._needle = needle\nkmp = [0] * (len(needle) + 2)\nkmp[0] = -1\nkmp[1] = 0\ni = 2\nj = 0\nwhile i < len(needle):\n if needle[i - 1] == needle[j]:\n kmp[i] = j + 1\n i += 1\n j += 1\n elif j > 0:\n j = kmp[j]\n else:\n kmp[i] = 0\n i += 1\nself._kmp = kmp",
"w... | <|body_start_0|>
self._needle = needle
kmp = [0] * (len(needle) + 2)
kmp[0] = -1
kmp[1] = 0
i = 2
j = 0
while i < len(needle):
if needle[i - 1] == needle[j]:
kmp[i] = j + 1
i += 1
j += 1
elif ... | KMP | [
"CC0-1.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KMP:
def __init__(self, needle):
"""https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか"""
<|body_0|>
def index_of(self, haystack, m=0, i=0):
"""m + (haystack[m:] の何番目に needle があるか) 見つからなければ -1 needle[i:] のみ比較する :param typing.Sequence ... | stack_v2_sparse_classes_75kplus_train_003263 | 1,969 | permissive | [
{
"docstring": "https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか",
"name": "__init__",
"signature": "def __init__(self, needle)"
},
{
"docstring": "m + (haystack[m:] の何番目に needle があるか) 見つからなければ -1 needle[i:] のみ比較する :param typing.Sequence haystack: 何から検索するか :par... | 3 | null | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def __init__(self, needle): https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか
- def index_of(self, haystack, m=0, i=0): m + (haystack[m:] の何番目に needle がある... | Implement the Python class `KMP` described below.
Class description:
Implement the KMP class.
Method signatures and docstrings:
- def __init__(self, needle): https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか
- def index_of(self, haystack, m=0, i=0): m + (haystack[m:] の何番目に needle がある... | 7d38884007541061ddd69d617a69a0d9bc6176fa | <|skeleton|>
class KMP:
def __init__(self, needle):
"""https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか"""
<|body_0|>
def index_of(self, haystack, m=0, i=0):
"""m + (haystack[m:] の何番目に needle があるか) 見つからなければ -1 needle[i:] のみ比較する :param typing.Sequence ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KMP:
def __init__(self, needle):
"""https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法 :param typing.Sequence needle: 何を検索するか"""
self._needle = needle
kmp = [0] * (len(needle) + 2)
kmp[0] = -1
kmp[1] = 0
i = 2
j = 0
while i < len(needle):
i... | the_stack_v2_python_sparse | kmp.py | nohtaray/competitive-programming.py | train | 1 | |
62811666d903b82bf81f98dfc8b997a86f1a7d0d | [
"for a1, a2 in itertools.combinations(table_aliases, 2):\n if a1.ref_str == a2.ref_str and a1.ref_str:\n return [LintResult(anchor=a2.segment, description='Duplicate table alias {!r}. Table aliases should be unique.'.format(a2.ref_str))]\nreturn None",
"if segment.is_type('select_statement'):\n selec... | <|body_start_0|>
for a1, a2 in itertools.combinations(table_aliases, 2):
if a1.ref_str == a2.ref_str and a1.ref_str:
return [LintResult(anchor=a2.segment, description='Duplicate table alias {!r}. Table aliases should be unique.'.format(a2.ref_str))]
return None
<|end_body_0|>... | Table aliases should be unique within each clause. | Rule_L020 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule_L020:
"""Table aliases should be unique within each clause."""
def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_select):
"""Check whether any aliases are duplicates. NB: Subclasses of this error shoul... | stack_v2_sparse_classes_75kplus_train_003264 | 2,658 | permissive | [
{
"docstring": "Check whether any aliases are duplicates. NB: Subclasses of this error should override this function.",
"name": "_lint_references_and_aliases",
"signature": "def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_se... | 2 | stack_v2_sparse_classes_30k_train_038397 | Implement the Python class `Rule_L020` described below.
Class description:
Table aliases should be unique within each clause.
Method signatures and docstrings:
- def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_select): Check whether any a... | Implement the Python class `Rule_L020` described below.
Class description:
Table aliases should be unique within each clause.
Method signatures and docstrings:
- def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_select): Check whether any a... | 98623974ecc816ac7e23843472d6bbd2c3936800 | <|skeleton|>
class Rule_L020:
"""Table aliases should be unique within each clause."""
def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_select):
"""Check whether any aliases are duplicates. NB: Subclasses of this error shoul... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Rule_L020:
"""Table aliases should be unique within each clause."""
def _lint_references_and_aliases(self, table_aliases, value_table_function_aliases, references, col_aliases, using_cols, parent_select):
"""Check whether any aliases are duplicates. NB: Subclasses of this error should override th... | the_stack_v2_python_sparse | src/sqlfluff/rules/L020.py | andres-lowrie/sqlfluff | train | 1 |
207b93e58cf13852fde826ed26f8c3c6d8c73424 | [
"if not re.match('1[3-9]\\\\d{9}$', value):\n raise serializers.ValidationError('手机号有误')\nreturn value",
"if value != 'true':\n raise serializers.ValidationError('请先同意使用协议')\nreturn value",
"if attr.get('password') != attr.get('password2'):\n raise serializers.ValidationError('两个密码不一致')\nredis_conn = g... | <|body_start_0|>
if not re.match('1[3-9]\\d{9}$', value):
raise serializers.ValidationError('手机号有误')
return value
<|end_body_0|>
<|body_start_1|>
if value != 'true':
raise serializers.ValidationError('请先同意使用协议')
return value
<|end_body_1|>
<|body_start_2|>
... | 注册序列化器 | CreateUserSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
<|body_0|>
def validate_allow(self, value):
"""校验是否同意协议"""
<|body_1|>
def validate(self, attr):
"""校验两次密码是否相同"""
<|body_2|>
def create(self, valid... | stack_v2_sparse_classes_75kplus_train_003265 | 8,653 | no_license | [
{
"docstring": "单独校验手机号",
"name": "validate_mobile",
"signature": "def validate_mobile(self, value)"
},
{
"docstring": "校验是否同意协议",
"name": "validate_allow",
"signature": "def validate_allow(self, value)"
},
{
"docstring": "校验两次密码是否相同",
"name": "validate",
"signature": "de... | 4 | stack_v2_sparse_classes_30k_train_034532 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册序列化器
Method signatures and docstrings:
- def validate_mobile(self, value): 单独校验手机号
- def validate_allow(self, value): 校验是否同意协议
- def validate(self, attr): 校验两次密码是否相同
- def create(self, validated_data): 重写create方法 | Implement the Python class `CreateUserSerializer` described below.
Class description:
注册序列化器
Method signatures and docstrings:
- def validate_mobile(self, value): 单独校验手机号
- def validate_allow(self, value): 校验是否同意协议
- def validate(self, attr): 校验两次密码是否相同
- def create(self, validated_data): 重写create方法
<|skeleton|>
cla... | a8fb0fc2352e0c71bab756a06c5a8babd8c350da | <|skeleton|>
class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
<|body_0|>
def validate_allow(self, value):
"""校验是否同意协议"""
<|body_1|>
def validate(self, attr):
"""校验两次密码是否相同"""
<|body_2|>
def create(self, valid... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CreateUserSerializer:
"""注册序列化器"""
def validate_mobile(self, value):
"""单独校验手机号"""
if not re.match('1[3-9]\\d{9}$', value):
raise serializers.ValidationError('手机号有误')
return value
def validate_allow(self, value):
"""校验是否同意协议"""
if value != 'true':
... | the_stack_v2_python_sparse | meiduo_mall/meiduo_mall/apps/users/serializers.py | zhangjian-ai/meiduo | train | 22 |
f24d9e1202ce469f85a88fb6c7406b3303f43d27 | [
"if len(name) == 7 and name[0] == '#':\n self.set_hex(name)\nelse:\n value = Color.colors.get(name, None)\n if value is None:\n raise ValueError(\"Unknown color name '{}'.\".format(name))\n if len(value) == 7:\n self.set_hex(value)\n else:\n self.red, self.green, self.blue = valu... | <|body_start_0|>
if len(name) == 7 and name[0] == '#':
self.set_hex(name)
else:
value = Color.colors.get(name, None)
if value is None:
raise ValueError("Unknown color name '{}'.".format(name))
if len(value) == 7:
self.set_he... | Lists of known colors. | Color | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Color:
"""Lists of known colors."""
def __init__(self, name):
"""@param name hexadecimal or name"""
<|body_0|>
def set_hex(self, name):
"""Converts a string like ``#AABBCC`` into `(red, green, blue)`."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_003266 | 6,106 | permissive | [
{
"docstring": "@param name hexadecimal or name",
"name": "__init__",
"signature": "def __init__(self, name)"
},
{
"docstring": "Converts a string like ``#AABBCC`` into `(red, green, blue)`.",
"name": "set_hex",
"signature": "def set_hex(self, name)"
}
] | 2 | stack_v2_sparse_classes_30k_train_045643 | Implement the Python class `Color` described below.
Class description:
Lists of known colors.
Method signatures and docstrings:
- def __init__(self, name): @param name hexadecimal or name
- def set_hex(self, name): Converts a string like ``#AABBCC`` into `(red, green, blue)`. | Implement the Python class `Color` described below.
Class description:
Lists of known colors.
Method signatures and docstrings:
- def __init__(self, name): @param name hexadecimal or name
- def set_hex(self, name): Converts a string like ``#AABBCC`` into `(red, green, blue)`.
<|skeleton|>
class Color:
"""Lists o... | 33af98adb093f525df7fac7c86613fa7cd181b44 | <|skeleton|>
class Color:
"""Lists of known colors."""
def __init__(self, name):
"""@param name hexadecimal or name"""
<|body_0|>
def set_hex(self, name):
"""Converts a string like ``#AABBCC`` into `(red, green, blue)`."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Color:
"""Lists of known colors."""
def __init__(self, name):
"""@param name hexadecimal or name"""
if len(name) == 7 and name[0] == '#':
self.set_hex(name)
else:
value = Color.colors.get(name, None)
if value is None:
raise Value... | the_stack_v2_python_sparse | src/pyensae/graphhelper/_colormap.py | sdpython/pyensae | train | 33 |
64d76b3a5d46c7187335ff0d6d207758c273cc5b | [
"qs = Branch.objects.filter(branch_agent=agent)\nif qs.exists():\n return qs.first()\nreturn None",
"if self.get_agent_branch(agent=branch_agent):\n raise TypeError('This agent already has an active branch assigned to them.')\nif not branch_agent:\n raise TypeError('Branches must have an agent.')\nif not... | <|body_start_0|>
qs = Branch.objects.filter(branch_agent=agent)
if qs.exists():
return qs.first()
return None
<|end_body_0|>
<|body_start_1|>
if self.get_agent_branch(agent=branch_agent):
raise TypeError('This agent already has an active branch assigned to them.'... | This will have methods to easily help us interact with the Branch object. We override the default Django Manager. | BranchManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BranchManager:
"""This will have methods to easily help us interact with the Branch object. We override the default Django Manager."""
def get_agent_branch(self, agent=None):
"""Get the agent's branch. If the agent does not have a branch, return None."""
<|body_0|>
def c... | stack_v2_sparse_classes_75kplus_train_003267 | 2,830 | permissive | [
{
"docstring": "Get the agent's branch. If the agent does not have a branch, return None.",
"name": "get_agent_branch",
"signature": "def get_agent_branch(self, agent=None)"
},
{
"docstring": "This method helps us to create branches with their agents",
"name": "create_branch",
"signature... | 4 | stack_v2_sparse_classes_30k_train_037470 | Implement the Python class `BranchManager` described below.
Class description:
This will have methods to easily help us interact with the Branch object. We override the default Django Manager.
Method signatures and docstrings:
- def get_agent_branch(self, agent=None): Get the agent's branch. If the agent does not hav... | Implement the Python class `BranchManager` described below.
Class description:
This will have methods to easily help us interact with the Branch object. We override the default Django Manager.
Method signatures and docstrings:
- def get_agent_branch(self, agent=None): Get the agent's branch. If the agent does not hav... | 60d034681da66771412fc73402d690a9fcaa5920 | <|skeleton|>
class BranchManager:
"""This will have methods to easily help us interact with the Branch object. We override the default Django Manager."""
def get_agent_branch(self, agent=None):
"""Get the agent's branch. If the agent does not have a branch, return None."""
<|body_0|>
def c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BranchManager:
"""This will have methods to easily help us interact with the Branch object. We override the default Django Manager."""
def get_agent_branch(self, agent=None):
"""Get the agent's branch. If the agent does not have a branch, return None."""
qs = Branch.objects.filter(branch_... | the_stack_v2_python_sparse | cargotracker/branches/models.py | MandelaK/CargoTracker | train | 0 |
bc5e42f55a06b65b7b535ab2f3ae1fef626d524f | [
"self._kind = 'kkm'\nself.q_nominal = q_nominal\nself.t_min = t_min\nself.lower_activation_limit = lower_activation_limit\ntimesteps_total = environment.timer.timestepsTotal\nself.total_q_output = np.zeros(environment.timer.timestepsTotal)\nself.current_q_output = np.zeros(environment.timer.timestepsUsedHorizon)\ns... | <|body_start_0|>
self._kind = 'kkm'
self.q_nominal = q_nominal
self.t_min = t_min
self.lower_activation_limit = lower_activation_limit
timesteps_total = environment.timer.timestepsTotal
self.total_q_output = np.zeros(environment.timer.timestepsTotal)
self.current_... | Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann | AbsorptionChiller | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AbsorptionChiller:
"""Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann"""
def __init__(self, environment, q_nominal, t_min=4, lower_activation_limit=0.2):
"""Construct... | stack_v2_sparse_classes_75kplus_train_003268 | 6,648 | permissive | [
{
"docstring": "Constructor of the chiller calculation class Parameters ---------- environment : Extended environment object Common to all other objects. Includes time and weather instances q_nominal: float [W] max cooling load of chiller lower_activation_limit : float , optional (0 <= lowerActivationLimit <= 1... | 5 | null | Implement the Python class `AbsorptionChiller` described below.
Class description:
Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann
Method signatures and docstrings:
- def __init__(self, environment, q... | Implement the Python class `AbsorptionChiller` described below.
Class description:
Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann
Method signatures and docstrings:
- def __init__(self, environment, q... | 99fd0dab7f9a9030fd84ba4715753364662927ec | <|skeleton|>
class AbsorptionChiller:
"""Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann"""
def __init__(self, environment, q_nominal, t_min=4, lower_activation_limit=0.2):
"""Construct... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AbsorptionChiller:
"""Implementation of simple Chiller. Values are based on regeressions for chillers based on fixme. As a first reference i'll use the bachelor thesis of Hardy Lottermann"""
def __init__(self, environment, q_nominal, t_min=4, lower_activation_limit=0.2):
"""Constructor of the chi... | the_stack_v2_python_sparse | pycity_calc/energysystems/absorptionchiller.py | RWTH-EBC/pyCity_calc | train | 4 |
f3b9a242811ee112bd5397c230958ad1c6a8adf3 | [
"self.physics_controller = physics_controller\nself.physics_controller.add_device_gyro_channel('navxmxp_spi_4_angle')\nr_int = 1.03\nr_kV = 0.742\nr_kA = 0.312\nl_int = 1.01\nl_kV = 0.758\nl_kA = 0.299\nvolts_per_fps = units.volts / (units.inch / units.second)\nvolts_per_acc = units.volts / (units.inch / units.seco... | <|body_start_0|>
self.physics_controller = physics_controller
self.physics_controller.add_device_gyro_channel('navxmxp_spi_4_angle')
r_int = 1.03
r_kV = 0.742
r_kA = 0.312
l_int = 1.01
l_kV = 0.758
l_kA = 0.299
volts_per_fps = units.volts / (units.... | PhysicsEngine | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PhysicsEngine:
def __init__(self, physics_controller):
""":param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to"""
<|body_0|>
def update_sim(self, hal_data, now, tm_diff):
"""Called when the simulation parameters... | stack_v2_sparse_classes_75kplus_train_003269 | 3,791 | no_license | [
{
"docstring": ":param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to",
"name": "__init__",
"signature": "def __init__(self, physics_controller)"
},
{
"docstring": "Called when the simulation parameters for the program need to be updated. :p... | 2 | stack_v2_sparse_classes_30k_train_000018 | Implement the Python class `PhysicsEngine` described below.
Class description:
Implement the PhysicsEngine class.
Method signatures and docstrings:
- def __init__(self, physics_controller): :param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to
- def update_sim(se... | Implement the Python class `PhysicsEngine` described below.
Class description:
Implement the PhysicsEngine class.
Method signatures and docstrings:
- def __init__(self, physics_controller): :param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to
- def update_sim(se... | 19846ebf27c99d58075e9f2085e87512c3f67023 | <|skeleton|>
class PhysicsEngine:
def __init__(self, physics_controller):
""":param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to"""
<|body_0|>
def update_sim(self, hal_data, now, tm_diff):
"""Called when the simulation parameters... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PhysicsEngine:
def __init__(self, physics_controller):
""":param physics_controller: `pyfrc.physics.core.PhysicsInterface` object to communicate simulation effects to"""
self.physics_controller = physics_controller
self.physics_controller.add_device_gyro_channel('navxmxp_spi_4_angle')
... | the_stack_v2_python_sparse | physics.py | FRC3184/frc2018 | train | 3 | |
2923764e629070672dcdd18fc6f44c16e5e98cd6 | [
"self.matrix = matrix\nif len(matrix) == 0 or len(matrix[0]) == 0:\n self.mat = []\n return\nif len(matrix) == 1 and len(matrix[0]) == 1:\n a = matrix[0][0]\n self.mat = [[a]]\n return\nself.mat = [[0] * len(matrix[0]) for i in matrix]\nself.mat[0][0] = matrix[0][0]\nfor i in range(1, len(matrix[0]))... | <|body_start_0|>
self.matrix = matrix
if len(matrix) == 0 or len(matrix[0]) == 0:
self.mat = []
return
if len(matrix) == 1 and len(matrix[0]) == 1:
a = matrix[0][0]
self.mat = [[a]]
return
self.mat = [[0] * len(matrix[0]) for i ... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_75kplus_train_003270 | 1,776 | no_license | [
{
"docstring": ":type matrix: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, matrix)"
},
{
"docstring": ":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int",
"name": "sumRegion",
"signature": "def sumRegion(self, row1, col1, row2, col2)"
... | 2 | stack_v2_sparse_classes_30k_train_018498 | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | Implement the Python class `NumMatrix` described below.
Class description:
Implement the NumMatrix class.
Method signatures and docstrings:
- def __init__(self, matrix): :type matrix: List[List[int]]
- def sumRegion(self, row1, col1, row2, col2): :type row1: int :type col1: int :type row2: int :type col2: int :rtype:... | 2337b5031d4dfe033a471cea8ab4aa5ab66122d0 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
self.matrix = matrix
if len(matrix) == 0 or len(matrix[0]) == 0:
self.mat = []
return
if len(matrix) == 1 and len(matrix[0]) == 1:
a = matrix[0][0]
self.ma... | the_stack_v2_python_sparse | 304.py | shants/LeetCodePy | train | 0 | |
0994f9f83084f58d5df45c069fef3605a9e39d2b | [
"kw = super(FacetPreCreateView, self).get_form_kwargs()\nkw.update({'organization': self.request.user.organization})\nreturn kw",
"template = form.data['template']\nname = form.cleaned_data['name']\nurl = reverse('facet_add', kwargs={'template_id': template, 'story': self.kwargs['story']})\nreturn redirect('{}?na... | <|body_start_0|>
kw = super(FacetPreCreateView, self).get_form_kwargs()
kw.update({'organization': self.request.user.organization})
return kw
<|end_body_0|>
<|body_start_1|>
template = form.data['template']
name = form.cleaned_data['name']
url = reverse('facet_add', kwar... | First step in creating a facet. | FacetPreCreateView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FacetPreCreateView:
"""First step in creating a facet."""
def get_form_kwargs(self):
"""Pass user organization to the form."""
<|body_0|>
def form_valid(self, form):
"""Redirect to real facet-creation form."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_75kplus_train_003271 | 12,799 | permissive | [
{
"docstring": "Pass user organization to the form.",
"name": "get_form_kwargs",
"signature": "def get_form_kwargs(self)"
},
{
"docstring": "Redirect to real facet-creation form.",
"name": "form_valid",
"signature": "def form_valid(self, form)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011649 | Implement the Python class `FacetPreCreateView` described below.
Class description:
First step in creating a facet.
Method signatures and docstrings:
- def get_form_kwargs(self): Pass user organization to the form.
- def form_valid(self, form): Redirect to real facet-creation form. | Implement the Python class `FacetPreCreateView` described below.
Class description:
First step in creating a facet.
Method signatures and docstrings:
- def get_form_kwargs(self): Pass user organization to the form.
- def form_valid(self, form): Redirect to real facet-creation form.
<|skeleton|>
class FacetPreCreateV... | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | <|skeleton|>
class FacetPreCreateView:
"""First step in creating a facet."""
def get_form_kwargs(self):
"""Pass user organization to the form."""
<|body_0|>
def form_valid(self, form):
"""Redirect to real facet-creation form."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FacetPreCreateView:
"""First step in creating a facet."""
def get_form_kwargs(self):
"""Pass user organization to the form."""
kw = super(FacetPreCreateView, self).get_form_kwargs()
kw.update({'organization': self.request.user.organization})
return kw
def form_valid(s... | the_stack_v2_python_sparse | project/editorial/views/facet.py | ProjectFacet/facet | train | 25 |
66c40696b65ffd6ce586eef0762d0e2b2595037f | [
"self.decoder_binlen = kwargs.pop('decoder_binlen', 0.1)\nself.assist_speed = kwargs.pop('assist_speed', 5.0)\nself.target_radius = kwargs.pop('target_radius', 2.0)",
"Bu = None\nassist_weight = 0.0\nif assist_level > 0:\n cursor_pos = np.array(current_state[0:3, 0]).ravel()\n target_pos = np.array(target_s... | <|body_start_0|>
self.decoder_binlen = kwargs.pop('decoder_binlen', 0.1)
self.assist_speed = kwargs.pop('assist_speed', 5.0)
self.target_radius = kwargs.pop('target_radius', 2.0)
<|end_body_0|>
<|body_start_1|>
Bu = None
assist_weight = 0.0
if assist_level > 0:
... | Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2. | SimpleEndpointAssister | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleEndpointAssister:
"""Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2."""
def __init__(self, *args, **kwargs):
"""Docstring"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_003272 | 12,931 | permissive | [
{
"docstring": "Docstring",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Docstring",
"name": "calc_assisted_BMI_state",
"signature": "def calc_assisted_BMI_state(self, current_state, target_state, assist_level, mode=None, **kwargs)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_016069 | Implement the Python class `SimpleEndpointAssister` described below.
Class description:
Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2.
Method signatures and docstrings:
- def __init__... | Implement the Python class `SimpleEndpointAssister` described below.
Class description:
Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2.
Method signatures and docstrings:
- def __init__... | a0e296aa663b49e767c9ebb274defb54b301eb12 | <|skeleton|>
class SimpleEndpointAssister:
"""Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2."""
def __init__(self, *args, **kwargs):
"""Docstring"""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleEndpointAssister:
"""Constant velocity toward the target if the cursor is outside the target. If the cursor is inside the target, the speed becomes the distance to the center of the target divided by 2."""
def __init__(self, *args, **kwargs):
"""Docstring"""
self.decoder_binlen = kw... | the_stack_v2_python_sparse | built_in_tasks/bmimultitasks.py | carmenalab/brain-python-interface | train | 9 |
966ca4d6cc5abbbc3afc3bb3bcd577cc38541683 | [
"for length in self.LENGTHS:\n pendulum = PendulumPlant(length=length)\n for _ in range(self.iterations):\n angle = (np.random.rand() - 0.5) * 2 * self.max_angle\n self.assertIsInstance(angle, float)\n ee_pos = pendulum.forward_kinematics(angle)[0]\n self.assertIsInstance(ee_pos, l... | <|body_start_0|>
for length in self.LENGTHS:
pendulum = PendulumPlant(length=length)
for _ in range(self.iterations):
angle = (np.random.rand() - 0.5) * 2 * self.max_angle
self.assertIsInstance(angle, float)
ee_pos = pendulum.forward_kinema... | Test | [
"MIT",
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
def test_0_kinematics(self):
"""Unit test for pendulum kinematics"""
<|body_0|>
def test_1_dynamics(self):
"""Unit test for pendulum dynamics"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for length in self.LENGTHS:
pendulum = Pe... | stack_v2_sparse_classes_75kplus_train_003273 | 4,821 | permissive | [
{
"docstring": "Unit test for pendulum kinematics",
"name": "test_0_kinematics",
"signature": "def test_0_kinematics(self)"
},
{
"docstring": "Unit test for pendulum dynamics",
"name": "test_1_dynamics",
"signature": "def test_1_dynamics(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012592 | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_0_kinematics(self): Unit test for pendulum kinematics
- def test_1_dynamics(self): Unit test for pendulum dynamics | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_0_kinematics(self): Unit test for pendulum kinematics
- def test_1_dynamics(self): Unit test for pendulum dynamics
<|skeleton|>
class Test:
def test_0_kinematics(self):
... | 2dab162a3a7bd33632fd36924b2bfb289249ffa3 | <|skeleton|>
class Test:
def test_0_kinematics(self):
"""Unit test for pendulum kinematics"""
<|body_0|>
def test_1_dynamics(self):
"""Unit test for pendulum dynamics"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test:
def test_0_kinematics(self):
"""Unit test for pendulum kinematics"""
for length in self.LENGTHS:
pendulum = PendulumPlant(length=length)
for _ in range(self.iterations):
angle = (np.random.rand() - 0.5) * 2 * self.max_angle
self.ass... | the_stack_v2_python_sparse | software/python/simple_pendulum/model/unit_test.py | dfki-ric-underactuated-lab/torque_limited_simple_pendulum | train | 37 | |
8e29b3d7ff8b82583d0e9d55abf25b32e33c24c4 | [
"if numRows == 0:\n return []\nans = [[1]]\nfor i in range(1, numRows):\n ans.append([1])\n for j in range(1, i):\n ans[i].append(ans[i - 1][j - 1] + ans[i - 1][j])\n ans[i].append(1)\nreturn ans",
"if num == 0:\n return []\nans = [[1]]\nfor i in range(num - 1):\n ans.append([sum(item) fo... | <|body_start_0|>
if numRows == 0:
return []
ans = [[1]]
for i in range(1, numRows):
ans.append([1])
for j in range(1, i):
ans[i].append(ans[i - 1][j - 1] + ans[i - 1][j])
ans[i].append(1)
return ans
<|end_body_0|>
<|body_st... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def method_two(num):
"""用移位的方式，比如： 1 1 0 + 0 1 1 --------- 1 2 1 :param num: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if numRows == 0:... | stack_v2_sparse_classes_75kplus_train_003274 | 993 | permissive | [
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate",
"signature": "def generate(self, numRows)"
},
{
"docstring": "用移位的方式，比如： 1 1 0 + 0 1 1 --------- 1 2 1 :param num: :return:",
"name": "method_two",
"signature": "def method_two(num)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011597 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def method_two(num): 用移位的方式，比如： 1 1 0 + 0 1 1 --------- 1 2 1 :param num: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def method_two(num): 用移位的方式，比如： 1 1 0 + 0 1 1 --------- 1 2 1 :param num: :return:
<|skeleton|>
class S... | f71118e8e05d4bcdcfb2dfc42187c73961b8b926 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def method_two(num):
"""用移位的方式，比如： 1 1 0 + 0 1 1 --------- 1 2 1 :param num: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
if numRows == 0:
return []
ans = [[1]]
for i in range(1, numRows):
ans.append([1])
for j in range(1, i):
ans[i].append(ans[i - 1][j - 1] +... | the_stack_v2_python_sparse | leetcode-algorithms/118. Pascal's Triangle/solution.py | bbruceyuan/algorithms-and-oj | train | 11 | |
91a5687d4c4396e68d100be19e5339ffe3d70d6f | [
"id = str(id)\nconfig = dict(self.config[id])\nwidget_class = get_widget_class(config.pop('class'))\nreturn widget_class(id=id, **config)",
"widgets = []\nfor grid_item in self.layout:\n widget = self.get_widget(grid_item['id'])\n widget.set_layout(grid_item)\n widgets.append(widget)\nreturn widgets",
... | <|body_start_0|>
id = str(id)
config = dict(self.config[id])
widget_class = get_widget_class(config.pop('class'))
return widget_class(id=id, **config)
<|end_body_0|>
<|body_start_1|>
widgets = []
for grid_item in self.layout:
widget = self.get_widget(grid_ite... | Dashboard | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dashboard:
def get_widget(self, id):
"""Instantiate and return a widget by its ID"""
<|body_0|>
def get_layout(self):
"""Return the dashboard's configured layout, suitable for rendering with gridstack.js."""
<|body_1|>
def add_widget(self, widget, x=None... | stack_v2_sparse_classes_75kplus_train_003275 | 1,918 | permissive | [
{
"docstring": "Instantiate and return a widget by its ID",
"name": "get_widget",
"signature": "def get_widget(self, id)"
},
{
"docstring": "Return the dashboard's configured layout, suitable for rendering with gridstack.js.",
"name": "get_layout",
"signature": "def get_layout(self)"
}... | 4 | stack_v2_sparse_classes_30k_test_000153 | Implement the Python class `Dashboard` described below.
Class description:
Implement the Dashboard class.
Method signatures and docstrings:
- def get_widget(self, id): Instantiate and return a widget by its ID
- def get_layout(self): Return the dashboard's configured layout, suitable for rendering with gridstack.js.
... | Implement the Python class `Dashboard` described below.
Class description:
Implement the Dashboard class.
Method signatures and docstrings:
- def get_widget(self, id): Instantiate and return a widget by its ID
- def get_layout(self): Return the dashboard's configured layout, suitable for rendering with gridstack.js.
... | 506884bc4dc70299db3e2a7ad577dd7fd808065e | <|skeleton|>
class Dashboard:
def get_widget(self, id):
"""Instantiate and return a widget by its ID"""
<|body_0|>
def get_layout(self):
"""Return the dashboard's configured layout, suitable for rendering with gridstack.js."""
<|body_1|>
def add_widget(self, widget, x=None... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dashboard:
def get_widget(self, id):
"""Instantiate and return a widget by its ID"""
id = str(id)
config = dict(self.config[id])
widget_class = get_widget_class(config.pop('class'))
return widget_class(id=id, **config)
def get_layout(self):
"""Return the da... | the_stack_v2_python_sparse | netbox/extras/models/dashboard.py | netbox-community/netbox | train | 8,122 | |
a68ac4fff2c6dd140f5baecc0b0d38453e065515 | [
"datafile = open(trace_file, 'r')\ntrace_list = []\nwhile True:\n line = datafile.readline()\n if not line:\n break\n PC, TNT = line.split()\n PC = int(PC, 16)\n TNT = int(TNT)\n trace = Trace(PC, TNT)\n trace_list.append(trace)\nreturn trace_list",
"binary_address = bin(int(address))[... | <|body_start_0|>
datafile = open(trace_file, 'r')
trace_list = []
while True:
line = datafile.readline()
if not line:
break
PC, TNT = line.split()
PC = int(PC, 16)
TNT = int(TNT)
trace = Trace(PC, TNT)
... | TraceGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TraceGenerator:
def trace_list_generator(trace_file):
"""Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: trace.txt :return: a list of trace"""
<|body_0|>
def input_vector_generator(global_hr, local... | stack_v2_sparse_classes_75kplus_train_003276 | 1,596 | no_license | [
{
"docstring": "Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: trace.txt :return: a list of trace",
"name": "trace_list_generator",
"signature": "def trace_list_generator(trace_file)"
},
{
"docstring": ":param global_... | 2 | stack_v2_sparse_classes_30k_train_052463 | Implement the Python class `TraceGenerator` described below.
Class description:
Implement the TraceGenerator class.
Method signatures and docstrings:
- def trace_list_generator(trace_file): Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: tr... | Implement the Python class `TraceGenerator` described below.
Class description:
Implement the TraceGenerator class.
Method signatures and docstrings:
- def trace_list_generator(trace_file): Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: tr... | 2711bc08f15266bec4ca135e8e3e629df46713eb | <|skeleton|>
class TraceGenerator:
def trace_list_generator(trace_file):
"""Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: trace.txt :return: a list of trace"""
<|body_0|>
def input_vector_generator(global_hr, local... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TraceGenerator:
def trace_list_generator(trace_file):
"""Transfer trace.txt into a list of trace, where trace.PC is the decimal address, trace.TNT is branch result :param trace_file: trace.txt :return: a list of trace"""
datafile = open(trace_file, 'r')
trace_list = []
while Tr... | the_stack_v2_python_sparse | 6.基于机器学习的CPU分支预测/Trace_Initializer.py | unlimitediw/CheckCode | train | 0 | |
37126b94ad27104a8d2118cb27e3e0ab1b073682 | [
"if pos == 2 * n:\n ps.append(''.join(curr_str))\nelse:\n if n_left < n:\n curr_str[pos] = '('\n self._gen(ps, curr_str, pos + 1, n, n_left + 1, n_right)\n if n_left > n_right:\n curr_str[pos] = ')'\n self._gen(ps, curr_str, pos + 1, n, n_left, n_right + 1)\nreturn ps",
"if n ... | <|body_start_0|>
if pos == 2 * n:
ps.append(''.join(curr_str))
else:
if n_left < n:
curr_str[pos] = '('
self._gen(ps, curr_str, pos + 1, n, n_left + 1, n_right)
if n_left > n_right:
curr_str[pos] = ')'
se... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _gen(self, ps, curr_str, pos, n, n_left, n_right):
""":param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance consideration. :param pos: The current position :param n: # parentheses to generate :param n_lef... | stack_v2_sparse_classes_75kplus_train_003277 | 1,205 | no_license | [
{
"docstring": ":param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance consideration. :param pos: The current position :param n: # parentheses to generate :param n_left: # left parentheses generated :param n_right: # right parentheses generate... | 2 | stack_v2_sparse_classes_30k_val_002447 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _gen(self, ps, curr_str, pos, n, n_left, n_right): :param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _gen(self, ps, curr_str, pos, n, n_left, n_right): :param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance... | 20580185c6f72f3c09a725168af48893156161f5 | <|skeleton|>
class Solution:
def _gen(self, ps, curr_str, pos, n, n_left, n_right):
""":param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance consideration. :param pos: The current position :param n: # parentheses to generate :param n_lef... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def _gen(self, ps, curr_str, pos, n, n_left, n_right):
""":param ps: Global list to save all the parentheses :param curr_str: The current char list. Don't use string for performance consideration. :param pos: The current position :param n: # parentheses to generate :param n_left: # left pare... | the_stack_v2_python_sparse | coding/00022-gen-parentheses/solution.py | misaka-10032/leetcode | train | 3 | |
33454ffc195104110836a9655d6065ae3de0b41b | [
"nom = 'detail_' + str(edition.annee) + '_' + Outils.mois_string(edition.mois) + '_' + str(edition.version)\nif edition.version > 0:\n nom += '_' + str(edition.client_unique)\nnom += '.csv'\nwith dossier_destination.writer(nom) as fichier_writer:\n ligne = ['Année', 'Mois', 'Code Client Facture', 'Code Client... | <|body_start_0|>
nom = 'detail_' + str(edition.annee) + '_' + Outils.mois_string(edition.mois) + '_' + str(edition.version)
if edition.version > 0:
nom += '_' + str(edition.client_unique)
nom += '.csv'
with dossier_destination.writer(nom) as fichier_writer:
ligne ... | Classe pour la création du détail des coûts | Detail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Detail:
"""Classe pour la création du détail des coûts"""
def detail(dossier_destination, edition, lignes):
"""création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param edition: paramètres d'édition :param lignes: lignes de d... | stack_v2_sparse_classes_75kplus_train_003278 | 4,685 | no_license | [
{
"docstring": "création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param edition: paramètres d'édition :param lignes: lignes de données du détail",
"name": "detail",
"signature": "def detail(dossier_destination, edition, lignes)"
},
{
"... | 2 | null | Implement the Python class `Detail` described below.
Class description:
Classe pour la création du détail des coûts
Method signatures and docstrings:
- def detail(dossier_destination, edition, lignes): création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param... | Implement the Python class `Detail` described below.
Class description:
Classe pour la création du détail des coûts
Method signatures and docstrings:
- def detail(dossier_destination, edition, lignes): création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param... | 6ae8fa5d20d00a3a018e87c2c3878dbd24cd6ac2 | <|skeleton|>
class Detail:
"""Classe pour la création du détail des coûts"""
def detail(dossier_destination, edition, lignes):
"""création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param edition: paramètres d'édition :param lignes: lignes de d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Detail:
"""Classe pour la création du détail des coûts"""
def detail(dossier_destination, edition, lignes):
"""création du détail des coûts :param dossier_destination: Une instance de la classe dossier.DossierDestination :param edition: paramètres d'édition :param lignes: lignes de données du dét... | the_stack_v2_python_sparse | traitement/detail.py | gusthiot/PyFactEl-V6 | train | 0 |
bda0696eb6a8b2554afb96089956b629d59ee50a | [
"try:\n self.target_obj = Target.objects.get(created_by=self.request.user, is_quick_target=True)\nexcept:\n self.target_obj = None\nreturn TargetMinions.objects.filter(target=self.target_obj)",
"response = generics.ListAPIView.list(self, request, *args, **kwargs).data\nminion_paginator = self.paginate_query... | <|body_start_0|>
try:
self.target_obj = Target.objects.get(created_by=self.request.user, is_quick_target=True)
except:
self.target_obj = None
return TargetMinions.objects.filter(target=self.target_obj)
<|end_body_0|>
<|body_start_1|>
response = generics.ListAPIVi... | Get quick target object list and return the response | ListQuickTargetView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ListQuickTargetView:
"""Get quick target object list and return the response"""
def get_queryset(self):
"""get query set"""
<|body_0|>
def list(self, request, *args, **kwargs):
"""send custom response using overriding the list method"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_75kplus_train_003279 | 32,893 | no_license | [
{
"docstring": "get query set",
"name": "get_queryset",
"signature": "def get_queryset(self)"
},
{
"docstring": "send custom response using overriding the list method",
"name": "list",
"signature": "def list(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012970 | Implement the Python class `ListQuickTargetView` described below.
Class description:
Get quick target object list and return the response
Method signatures and docstrings:
- def get_queryset(self): get query set
- def list(self, request, *args, **kwargs): send custom response using overriding the list method | Implement the Python class `ListQuickTargetView` described below.
Class description:
Get quick target object list and return the response
Method signatures and docstrings:
- def get_queryset(self): get query set
- def list(self, request, *args, **kwargs): send custom response using overriding the list method
<|skele... | 122a172caea82ef660e81a9dfc6377afd731f9cb | <|skeleton|>
class ListQuickTargetView:
"""Get quick target object list and return the response"""
def get_queryset(self):
"""get query set"""
<|body_0|>
def list(self, request, *args, **kwargs):
"""send custom response using overriding the list method"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ListQuickTargetView:
"""Get quick target object list and return the response"""
def get_queryset(self):
"""get query set"""
try:
self.target_obj = Target.objects.get(created_by=self.request.user, is_quick_target=True)
except:
self.target_obj = None
... | the_stack_v2_python_sparse | sso/files/gui/sse/target/views.py | nofxrok/headless | train | 1 |
857fc3a44974fc4a2ca529f319bdbac4498990ce | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | The RemoteDataSource service definition. | RemoteDataSourceServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RemoteDataSourceServicer:
"""The RemoteDataSource service definition."""
def ListDataSources(self, request, context):
"""Return a list of dataSources this remote service has"""
<|body_0|>
def dataSourceUniques(self, request, context):
"""Return unique records for... | stack_v2_sparse_classes_75kplus_train_003280 | 4,605 | permissive | [
{
"docstring": "Return a list of dataSources this remote service has",
"name": "ListDataSources",
"signature": "def ListDataSources(self, request, context)"
},
{
"docstring": "Return unique records for indexing into search",
"name": "dataSourceUniques",
"signature": "def dataSourceUnique... | 4 | stack_v2_sparse_classes_30k_train_014151 | Implement the Python class `RemoteDataSourceServicer` described below.
Class description:
The RemoteDataSource service definition.
Method signatures and docstrings:
- def ListDataSources(self, request, context): Return a list of dataSources this remote service has
- def dataSourceUniques(self, request, context): Retu... | Implement the Python class `RemoteDataSourceServicer` described below.
Class description:
The RemoteDataSource service definition.
Method signatures and docstrings:
- def ListDataSources(self, request, context): Return a list of dataSources this remote service has
- def dataSourceUniques(self, request, context): Retu... | 9cd9bc2bcfd3fb88f242dcf3e49a43fb0165633d | <|skeleton|>
class RemoteDataSourceServicer:
"""The RemoteDataSource service definition."""
def ListDataSources(self, request, context):
"""Return a list of dataSources this remote service has"""
<|body_0|>
def dataSourceUniques(self, request, context):
"""Return unique records for... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RemoteDataSourceServicer:
"""The RemoteDataSource service definition."""
def ListDataSources(self, request, context):
"""Return a list of dataSources this remote service has"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
r... | the_stack_v2_python_sparse | dv_pyclient/grpc/dataSources_pb2_grpc.py | datavore-labs/dv-pyclient | train | 0 |
e2e06bd241469da798402383bb39efc37e311e32 | [
"time = timezone.now() + timedelta(days=10)\nfuture_event = Event(start=time, end=time + timedelta(hours=1), label='test event', category='tests')\nself.assertIs(future_event.is_upcoming(), False)",
"time = timezone.now() + timedelta(hours=2)\nfuture_event = Event(start=time, end=time + timedelta(hours=1), label=... | <|body_start_0|>
time = timezone.now() + timedelta(days=10)
future_event = Event(start=time, end=time + timedelta(hours=1), label='test event', category='tests')
self.assertIs(future_event.is_upcoming(), False)
<|end_body_0|>
<|body_start_1|>
time = timezone.now() + timedelta(hours=2)
... | DateModelTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DateModelTests:
def test_is_upcoming_for_not_upcoming_event(self):
"""Checks is_upcoming function with events that are not upcoming"""
<|body_0|>
def test_is_upcoming_for_upcoming_event(self):
"""Checks is_upcoming with events that are upcoming"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_003281 | 1,853 | no_license | [
{
"docstring": "Checks is_upcoming function with events that are not upcoming",
"name": "test_is_upcoming_for_not_upcoming_event",
"signature": "def test_is_upcoming_for_not_upcoming_event(self)"
},
{
"docstring": "Checks is_upcoming with events that are upcoming",
"name": "test_is_upcoming_... | 2 | stack_v2_sparse_classes_30k_train_013240 | Implement the Python class `DateModelTests` described below.
Class description:
Implement the DateModelTests class.
Method signatures and docstrings:
- def test_is_upcoming_for_not_upcoming_event(self): Checks is_upcoming function with events that are not upcoming
- def test_is_upcoming_for_upcoming_event(self): Chec... | Implement the Python class `DateModelTests` described below.
Class description:
Implement the DateModelTests class.
Method signatures and docstrings:
- def test_is_upcoming_for_not_upcoming_event(self): Checks is_upcoming function with events that are not upcoming
- def test_is_upcoming_for_upcoming_event(self): Chec... | 62b4d64e9fe98c8e8221526ee47668160f0bc246 | <|skeleton|>
class DateModelTests:
def test_is_upcoming_for_not_upcoming_event(self):
"""Checks is_upcoming function with events that are not upcoming"""
<|body_0|>
def test_is_upcoming_for_upcoming_event(self):
"""Checks is_upcoming with events that are upcoming"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DateModelTests:
def test_is_upcoming_for_not_upcoming_event(self):
"""Checks is_upcoming function with events that are not upcoming"""
time = timezone.now() + timedelta(days=10)
future_event = Event(start=time, end=time + timedelta(hours=1), label='test event', category='tests')
... | the_stack_v2_python_sparse | events/tests.py | eddumpy/EventPlanner | train | 0 | |
da386638f05c716a947156ce61d51dd5042cacbb | [
"delivery_mode = self._parse_arguments(arguments, results)\nif delivery_mode is ContinueProcessing.no:\n return ContinueProcessing.no\ndisplay_name, email = parseaddr(msg['from'])\nif not email:\n email = msg.sender\nif not email:\n print(_('$self.name: No valid address found to subscribe'), file=results)\... | <|body_start_0|>
delivery_mode = self._parse_arguments(arguments, results)
if delivery_mode is ContinueProcessing.no:
return ContinueProcessing.no
display_name, email = parseaddr(msg['from'])
if not email:
email = msg.sender
if not email:
print... | The email 'join' command. | Join | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Join:
"""The email 'join' command."""
def process(self, mlist, msg, msgdata, arguments, results):
"""See `IEmailCommand`."""
<|body_0|>
def _parse_arguments(self, arguments, results):
"""Parse command arguments. :param arguments: The sequences of arguments as giv... | stack_v2_sparse_classes_75kplus_train_003282 | 8,737 | no_license | [
{
"docstring": "See `IEmailCommand`.",
"name": "process",
"signature": "def process(self, mlist, msg, msgdata, arguments, results)"
},
{
"docstring": "Parse command arguments. :param arguments: The sequences of arguments as given to the `process()` method. :param results: The results object. :re... | 2 | stack_v2_sparse_classes_30k_train_004321 | Implement the Python class `Join` described below.
Class description:
The email 'join' command.
Method signatures and docstrings:
- def process(self, mlist, msg, msgdata, arguments, results): See `IEmailCommand`.
- def _parse_arguments(self, arguments, results): Parse command arguments. :param arguments: The sequence... | Implement the Python class `Join` described below.
Class description:
The email 'join' command.
Method signatures and docstrings:
- def process(self, mlist, msg, msgdata, arguments, results): See `IEmailCommand`.
- def _parse_arguments(self, arguments, results): Parse command arguments. :param arguments: The sequence... | 7edf8148e34b9f73ca6433ceb43a1770f4fa32c1 | <|skeleton|>
class Join:
"""The email 'join' command."""
def process(self, mlist, msg, msgdata, arguments, results):
"""See `IEmailCommand`."""
<|body_0|>
def _parse_arguments(self, arguments, results):
"""Parse command arguments. :param arguments: The sequences of arguments as giv... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Join:
"""The email 'join' command."""
def process(self, mlist, msg, msgdata, arguments, results):
"""See `IEmailCommand`."""
delivery_mode = self._parse_arguments(arguments, results)
if delivery_mode is ContinueProcessing.no:
return ContinueProcessing.no
displa... | the_stack_v2_python_sparse | libs/Mailman/mailman/commands/eml_membership.py | masomel/py-import-analysis | train | 1 |
10ee6eb07536dd1c49755073b616ab1520b23731 | [
"try:\n time.sleep(0.5)\n elements = dr.find_visible_elements(selectory[0])\n if len(elements) == 1:\n time.sleep(0.5)\n elements[0].click()\n else:\n element = elements[selectory[1]]\n element.click()\nexcept IndexError:\n elements = dr.find_elements(selectory[0])\n if... | <|body_start_0|>
try:
time.sleep(0.5)
elements = dr.find_visible_elements(selectory[0])
if len(elements) == 1:
time.sleep(0.5)
elements[0].click()
else:
element = elements[selectory[1]]
element.click(... | MyElements | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyElements:
def elements_click(self, dr, selectory):
"""探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(".ivu-btn.ivu-btn-primary.ivu-btn-large")#确定"""
<|body_0|>
def elements_text_update(self, dr, selectory, msg):
"""探针卸载获得的class都是第一个 #elements=dr.find_visible_... | stack_v2_sparse_classes_75kplus_train_003283 | 3,395 | no_license | [
{
"docstring": "探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(\".ivu-btn.ivu-btn-primary.ivu-btn-large\")#确定",
"name": "elements_click",
"signature": "def elements_click(self, dr, selectory)"
},
{
"docstring": "探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(\".ivu-btn.ivu-btn-primar... | 2 | stack_v2_sparse_classes_30k_val_002954 | Implement the Python class `MyElements` described below.
Class description:
Implement the MyElements class.
Method signatures and docstrings:
- def elements_click(self, dr, selectory): 探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(".ivu-btn.ivu-btn-primary.ivu-btn-large")#确定
- def elements_text_update(self, dr... | Implement the Python class `MyElements` described below.
Class description:
Implement the MyElements class.
Method signatures and docstrings:
- def elements_click(self, dr, selectory): 探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(".ivu-btn.ivu-btn-primary.ivu-btn-large")#确定
- def elements_text_update(self, dr... | a5cf2ab372d1e1e09cae1904c22dba2eab3c29de | <|skeleton|>
class MyElements:
def elements_click(self, dr, selectory):
"""探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(".ivu-btn.ivu-btn-primary.ivu-btn-large")#确定"""
<|body_0|>
def elements_text_update(self, dr, selectory, msg):
"""探针卸载获得的class都是第一个 #elements=dr.find_visible_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyElements:
def elements_click(self, dr, selectory):
"""探针卸载获得的class都是第一个 #elements=dr.find_visible_elements(".ivu-btn.ivu-btn-primary.ivu-btn-large")#确定"""
try:
time.sleep(0.5)
elements = dr.find_visible_elements(selectory[0])
if len(elements) == 1:
... | the_stack_v2_python_sparse | common/elements_base.py | ItTestKing/Base_test | train | 0 | |
de2ff30cd2c1c67f09d3878bc8682564434d1756 | [
"self.arm_options = config_entry.options.get(OPTIONS_ARM, DEFAULT_ARM_OPTIONS)\nself.zone_options = config_entry.options.get(OPTIONS_ZONES, DEFAULT_ZONE_OPTIONS)\nself.selected_zone = None",
"if user_input is not None:\n if user_input[EDIT_KEY] == EDIT_SETTINGS:\n return await self.async_step_arm_settin... | <|body_start_0|>
self.arm_options = config_entry.options.get(OPTIONS_ARM, DEFAULT_ARM_OPTIONS)
self.zone_options = config_entry.options.get(OPTIONS_ZONES, DEFAULT_ZONE_OPTIONS)
self.selected_zone = None
<|end_body_0|>
<|body_start_1|>
if user_input is not None:
if user_input... | Handle AlarmDecoder options. | AlarmDecoderOptionsFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlarmDecoderOptionsFlowHandler:
"""Handle AlarmDecoder options."""
def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
"""Initialize AlarmDecoder options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the options... | stack_v2_sparse_classes_75kplus_train_003284 | 12,612 | permissive | [
{
"docstring": "Initialize AlarmDecoder options flow.",
"name": "__init__",
"signature": "def __init__(self, config_entry: config_entries.ConfigEntry) -> None"
},
{
"docstring": "Manage the options.",
"name": "async_step_init",
"signature": "async def async_step_init(self, user_input=Non... | 5 | stack_v2_sparse_classes_30k_train_014380 | Implement the Python class `AlarmDecoderOptionsFlowHandler` described below.
Class description:
Handle AlarmDecoder options.
Method signatures and docstrings:
- def __init__(self, config_entry: config_entries.ConfigEntry) -> None: Initialize AlarmDecoder options flow.
- async def async_step_init(self, user_input=None... | Implement the Python class `AlarmDecoderOptionsFlowHandler` described below.
Class description:
Handle AlarmDecoder options.
Method signatures and docstrings:
- def __init__(self, config_entry: config_entries.ConfigEntry) -> None: Initialize AlarmDecoder options flow.
- async def async_step_init(self, user_input=None... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class AlarmDecoderOptionsFlowHandler:
"""Handle AlarmDecoder options."""
def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
"""Initialize AlarmDecoder options flow."""
<|body_0|>
async def async_step_init(self, user_input=None):
"""Manage the options... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlarmDecoderOptionsFlowHandler:
"""Handle AlarmDecoder options."""
def __init__(self, config_entry: config_entries.ConfigEntry) -> None:
"""Initialize AlarmDecoder options flow."""
self.arm_options = config_entry.options.get(OPTIONS_ARM, DEFAULT_ARM_OPTIONS)
self.zone_options = co... | the_stack_v2_python_sparse | homeassistant/components/alarmdecoder/config_flow.py | home-assistant/core | train | 35,501 |
48c39f607c3157312342e8aafa3f6f33a2fd5a67 | [
"def _serialize(node):\n if node is None:\n return\n data.append(str(node.val))\n _serialize(node.left)\n _serialize(node.right)\ndata = []\n_serialize(root)\nreturn self.SEP.join(data)",
"def _deserialize(min_val, max_val):\n if not data or data[0] < min_val or data[0] > max_val:\n r... | <|body_start_0|>
def _serialize(node):
if node is None:
return
data.append(str(node.val))
_serialize(node.left)
_serialize(node.right)
data = []
_serialize(root)
return self.SEP.join(data)
<|end_body_0|>
<|body_start_1|>
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def _serialize... | stack_v2_sparse_classes_75kplus_train_003285 | 1,526 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_028987 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 4f5f5124534bd4423356a5f5572b8a39b7828d80 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
def _serialize(node):
if node is None:
return
data.append(str(node.val))
_serialize(node.left)
_serialize(node.right)
data = []
... | the_stack_v2_python_sparse | leetcode/serialize-and-deserialize-bst/285913288.py | ausaki/data_structures_and_algorithms | train | 1 | |
b5299c1d2d250e00335b293ad06db1c62a68d3bb | [
"self._graph = graph\nself._valid_ops = valid_ops\nself.detect_ops_in_graph(op_to_module_dict)",
"all_op_patterns_list = [op_dict['pattern'] for op_dict in list(reference_op_pattern_info_dict.values())]\nfor pattern in all_op_patterns_list:\n layer_matcher = graph_matcher.GraphMatcher(pattern)\n for match_r... | <|body_start_0|>
self._graph = graph
self._valid_ops = valid_ops
self.detect_ops_in_graph(op_to_module_dict)
<|end_body_0|>
<|body_start_1|>
all_op_patterns_list = [op_dict['pattern'] for op_dict in list(reference_op_pattern_info_dict.values())]
for pattern in all_op_patterns_li... | The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTypePattern objects to detect Ops in the Session Graph. It holds the detected Ops and... | SubGraphMatcher | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubGraphMatcher:
"""The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTypePattern objects to detect Ops in the S... | stack_v2_sparse_classes_75kplus_train_003286 | 30,820 | permissive | [
{
"docstring": "Initialize the SubGraphMatcher. :param graph: Session Graph associated with the model :param op_to_module_dict: Dictionary mapping op to module op info, to be filled in by SubGraphMatcher :param valid_ops: Ops that will be considered during module detection",
"name": "__init__",
"signatu... | 3 | stack_v2_sparse_classes_30k_train_012254 | Implement the Python class `SubGraphMatcher` described below.
Class description:
The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTyp... | Implement the Python class `SubGraphMatcher` described below.
Class description:
The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTyp... | 5a406e657082b6a4f6e4bf48f0e46e085cb1e351 | <|skeleton|>
class SubGraphMatcher:
"""The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTypePattern objects to detect Ops in the S... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubGraphMatcher:
"""The SubGraphMatcher class encapsulates the functionality associated with individual Op level subgraphs. It creates OpTypePattern for those Ops in a model that have multiple associated internal Ops in the Session Graph. It uses these OpTypePattern objects to detect Ops in the Session Graph.... | the_stack_v2_python_sparse | TrainingExtensions/tensorflow/src/python/aimet_tensorflow/common/sub_graph_matcher.py | quic/aimet | train | 1,676 |
089999c449eae46d79e91689a2c2dc53a5c68d92 | [
"self.availability_set = availability_set\nself.azure_managed_disk_params = azure_managed_disk_params\nself.compute_options = compute_options\nself.data_transfer_info = data_transfer_info\nself.network_resource_group = network_resource_group\nself.network_security_group = network_security_group\nself.resource_group... | <|body_start_0|>
self.availability_set = availability_set
self.azure_managed_disk_params = azure_managed_disk_params
self.compute_options = compute_options
self.data_transfer_info = data_transfer_info
self.network_resource_group = network_resource_group
self.network_secur... | Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Availability set in which the VM is to be restored. azure_managed_disk_params (AzureManagedD... | DeployVMsToAzureParams | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeployVMsToAzureParams:
"""Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Availability set in which the VM is to be ... | stack_v2_sparse_classes_75kplus_train_003287 | 10,381 | permissive | [
{
"docstring": "Constructor for the DeployVMsToAzureParams class",
"name": "__init__",
"signature": "def __init__(self, availability_set=None, azure_managed_disk_params=None, compute_options=None, data_transfer_info=None, network_resource_group=None, network_security_group=None, resource_group=None, sto... | 2 | stack_v2_sparse_classes_30k_train_018118 | Implement the Python class `DeployVMsToAzureParams` described below.
Class description:
Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Ava... | Implement the Python class `DeployVMsToAzureParams` described below.
Class description:
Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Ava... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DeployVMsToAzureParams:
"""Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Availability set in which the VM is to be ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeployVMsToAzureParams:
"""Implementation of the 'DeployVMsToAzureParams' model. Contains Azure specific information needed to identify various resources when converting and deploying a VM to Azure. Attributes: availability_set (EntityProto): Name of the Availability set in which the VM is to be restored. azu... | the_stack_v2_python_sparse | cohesity_management_sdk/models/deploy_vms_to_azure_params.py | cohesity/management-sdk-python | train | 24 |
55c573795c3ab90a55ab5e34086e5dfd8d83028d | [
"res = []\nn = len(nums)\nfor i in range(n + 1):\n for j in combinations(nums, i):\n res.append(list(j))\nreturn res",
"output = [[]]\nfor num in nums:\n output += [result + [num] for result in output]\nreturn output"
] | <|body_start_0|>
res = []
n = len(nums)
for i in range(n + 1):
for j in combinations(nums, i):
res.append(list(j))
return res
<|end_body_0|>
<|body_start_1|>
output = [[]]
for num in nums:
output += [result + [num] for result in ou... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subsets1(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def subsets2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = []
n = len(nu... | stack_v2_sparse_classes_75kplus_train_003288 | 938 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "subsets1",
"signature": "def subsets1(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "subsets2",
"signature": "def subsets2(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets1(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def subsets2(self, nums): :type nums: List[int] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subsets1(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def subsets2(self, nums): :type nums: List[int] :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | c92a5ddcc56e3f69be1e6fb25e9c8ed277e57ee0 | <|skeleton|>
class Solution:
def subsets1(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def subsets2(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def subsets1(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
res = []
n = len(nums)
for i in range(n + 1):
for j in combinations(nums, i):
res.append(list(j))
return res
def subsets2(self, nums):
""":ty... | the_stack_v2_python_sparse | code/78#Subsets.py | EachenKuang/LeetCode | train | 28 | |
5aac4f9e66d377e9b84da7f2de737fb35b9ce902 | [
"if not self.user:\n self.redirect('/login')\n return\ncomment = Comments.get_by_id(int(comment_id))\nif not comment:\n self.error(404)\n return\nif self.user:\n content = comment.content\n post_id = comment.post\n self.render('blog_editcomment_page.html', key=post_id, content=content, user=sel... | <|body_start_0|>
if not self.user:
self.redirect('/login')
return
comment = Comments.get_by_id(int(comment_id))
if not comment:
self.error(404)
return
if self.user:
content = comment.content
post_id = comment.post
... | Render single comment handler | EditComment | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EditComment:
"""Render single comment handler"""
def get(self, comment_id):
"""Blog post"""
<|body_0|>
def post(self, comment_id):
"""Add Edited-comment to db"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not self.user:
self.red... | stack_v2_sparse_classes_75kplus_train_003289 | 1,670 | no_license | [
{
"docstring": "Blog post",
"name": "get",
"signature": "def get(self, comment_id)"
},
{
"docstring": "Add Edited-comment to db",
"name": "post",
"signature": "def post(self, comment_id)"
}
] | 2 | null | Implement the Python class `EditComment` described below.
Class description:
Render single comment handler
Method signatures and docstrings:
- def get(self, comment_id): Blog post
- def post(self, comment_id): Add Edited-comment to db | Implement the Python class `EditComment` described below.
Class description:
Render single comment handler
Method signatures and docstrings:
- def get(self, comment_id): Blog post
- def post(self, comment_id): Add Edited-comment to db
<|skeleton|>
class EditComment:
"""Render single comment handler"""
def g... | 269a47ede1857ddc28ecc70811d5a47a264d6961 | <|skeleton|>
class EditComment:
"""Render single comment handler"""
def get(self, comment_id):
"""Blog post"""
<|body_0|>
def post(self, comment_id):
"""Add Edited-comment to db"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EditComment:
"""Render single comment handler"""
def get(self, comment_id):
"""Blog post"""
if not self.user:
self.redirect('/login')
return
comment = Comments.get_by_id(int(comment_id))
if not comment:
self.error(404)
return... | the_stack_v2_python_sparse | handlers/editcomment.py | RoseannaM/web-log | train | 0 |
1e471f9f14face543d7994a2f9edbe03938b69f7 | [
"if root is None:\n return []\nresult = []\n\ndef dfs(root, total, path):\n if root.left is None and root.right is None and (total == sum):\n result.append(path[:])\n if root.left:\n path.append(root.left.val)\n dfs(root.left, total + root.left.val, path)\n path.pop()\n if ro... | <|body_start_0|>
if root is None:
return []
result = []
def dfs(root, total, path):
if root.left is None and root.right is None and (total == sum):
result.append(path[:])
if root.left:
path.append(root.left.val)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]:
"""DFS, Time: O(n), Space: O(n)"""
<|body_0|>
def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]:
"""BFS, Time: O(n), Space: O(n)"""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_003290 | 1,566 | no_license | [
{
"docstring": "DFS, Time: O(n), Space: O(n)",
"name": "pathSum",
"signature": "def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]"
},
{
"docstring": "BFS, Time: O(n), Space: O(n)",
"name": "pathSum",
"signature": "def pathSum(self, root: TreeNode, sum: int) -> List[List[int]... | 2 | stack_v2_sparse_classes_30k_train_021773 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]: DFS, Time: O(n), Space: O(n)
- def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]: BFS, Time: O(n), Sp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]: DFS, Time: O(n), Space: O(n)
- def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]: BFS, Time: O(n), Sp... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]:
"""DFS, Time: O(n), Space: O(n)"""
<|body_0|>
def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]:
"""BFS, Time: O(n), Space: O(n)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def pathSum(self, root: TreeNode, sum: int) -> List[List[int]]:
"""DFS, Time: O(n), Space: O(n)"""
if root is None:
return []
result = []
def dfs(root, total, path):
if root.left is None and root.right is None and (total == sum):
... | the_stack_v2_python_sparse | python/113-Path Sum II.py | cwza/leetcode | train | 0 | |
bd57e9a2be88e02d4b9e2d74ab8292335490ce7b | [
"super().__init__()\nself.game = game\nself.gun = gun\nself.game.gun_sprites.add(self)\nself.game.all_sprites.add(self)\nself.frames = []\nself.load_frames()\nself.image = self.frames[0]\nself.rect = self.image.get_rect(midbottom=(self.gun.pos.x, self.gun.pos.y - self.gun.rect.h / 5))\nself.last_frame_update = 0\ns... | <|body_start_0|>
super().__init__()
self.game = game
self.gun = gun
self.game.gun_sprites.add(self)
self.game.all_sprites.add(self)
self.frames = []
self.load_frames()
self.image = self.frames[0]
self.rect = self.image.get_rect(midbottom=(self.gun.... | GunFX | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GunFX:
def __init__(self, game, gun):
"""Fire effect that is attached to the "gun" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite object"""
<|body_0|>
def load_frames(self):
"""Load frame images into fr... | stack_v2_sparse_classes_75kplus_train_003291 | 6,351 | no_license | [
{
"docstring": "Fire effect that is attached to the \"gun\" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite object",
"name": "__init__",
"signature": "def __init__(self, game, gun)"
},
{
"docstring": "Load frame images into frame li... | 3 | stack_v2_sparse_classes_30k_train_036803 | Implement the Python class `GunFX` described below.
Class description:
Implement the GunFX class.
Method signatures and docstrings:
- def __init__(self, game, gun): Fire effect that is attached to the "gun" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite... | Implement the Python class `GunFX` described below.
Class description:
Implement the GunFX class.
Method signatures and docstrings:
- def __init__(self, game, gun): Fire effect that is attached to the "gun" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite... | 99f87258d60aab8bb9959cc8df5d6c76236f6db2 | <|skeleton|>
class GunFX:
def __init__(self, game, gun):
"""Fire effect that is attached to the "gun" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite object"""
<|body_0|>
def load_frames(self):
"""Load frame images into fr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GunFX:
def __init__(self, game, gun):
"""Fire effect that is attached to the "gun" (Not a child of FX class because animation loops :param game: reference to game instance :param gun: gun sprite object"""
super().__init__()
self.game = game
self.gun = gun
self.game.gun_... | the_stack_v2_python_sparse | src/gun.py | asdf57/RogueRobotRambo | train | 0 | |
de2c7fe33201066931f0976c53c663619b00fe22 | [
"self.config = config\nself.formatter = logging.Formatter(fmt='[%(asctime)s] %(levelname)s %(message)s', datefmt='%Y-%m-%d %H:%M:%S')\nself.loggers = {}",
"tag = record.name\nif tag not in self.loggers:\n self.loggers[tag] = SingleFileLogger(self.config, tag, formatter=self.formatter)\nreturn self.loggers[tag]... | <|body_start_0|>
self.config = config
self.formatter = logging.Formatter(fmt='[%(asctime)s] %(levelname)s %(message)s', datefmt='%Y-%m-%d %H:%M:%S')
self.loggers = {}
<|end_body_0|>
<|body_start_1|>
tag = record.name
if tag not in self.loggers:
self.loggers[tag] = Si... | A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags appear that are have not been seen yet, so there is no need to specify the set of... | MultiFileLogger | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiFileLogger:
"""A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags appear that are have not been seen yet... | stack_v2_sparse_classes_75kplus_train_003292 | 5,340 | permissive | [
{
"docstring": "Arg is GlobalConfig / DatasetConfig object",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Handles a record by calling the necessary SingleFileLogger, creating it if not already cached.",
"name": "handle",
"signature": "def handle(self, ... | 2 | stack_v2_sparse_classes_30k_train_053151 | Implement the Python class `MultiFileLogger` described below.
Class description:
A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags... | Implement the Python class `MultiFileLogger` described below.
Class description:
A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags... | 37ad31c4c66658c4c77340efc783040f94df3f3f | <|skeleton|>
class MultiFileLogger:
"""A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags appear that are have not been seen yet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiFileLogger:
"""A class whose 'handle' method will return the handle method of a different file logger class for each tag, so that different tags get logged to different files. The SingleFileLogger objects are created on the fly in handle() when new tags appear that are have not been seen yet, so there is... | the_stack_v2_python_sparse | lib/LoggerServer.py | cedadev/mistamover | train | 0 |
06fdbd5e5bf8dcc90ace8ff30c0aa406da1b4ae0 | [
"self.page_mock.text = '{{REDaten\\n|BAND=S I\\n|KEINE_SCHÖPFUNGSHÖHE=ON\\n|TODESJAHR=1950\\n}}\\nbla\\n{{REAutor|Stein.}}'\nre_page = RePage(self.page_mock)\ntask = PDKSTask(None, self.logger)\ncompare({'success': True, 'changed': True}, task.run(re_page))\ncompare('', re_page[0]['TODESJAHR'].value)",
"self.page... | <|body_start_0|>
self.page_mock.text = '{{REDaten\n|BAND=S I\n|KEINE_SCHÖPFUNGSHÖHE=ON\n|TODESJAHR=1950\n}}\nbla\n{{REAutor|Stein.}}'
re_page = RePage(self.page_mock)
task = PDKSTask(None, self.logger)
compare({'success': True, 'changed': True}, task.run(re_page))
compare('', re_... | TestCOPDTask | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
<|body_0|>
def test_process_newly_public_domain_gj(self):
"""article is in... | stack_v2_sparse_classes_75kplus_train_003293 | 3,086 | permissive | [
{
"docstring": "article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed",
"name": "test_process_newly_public_domain_tj",
"signature": "def test_process_newly_public_domain_tj(self)"
},
{
"docstring": "article is in public doma... | 5 | stack_v2_sparse_classes_30k_test_001490 | Implement the Python class `TestCOPDTask` described below.
Class description:
Implement the TestCOPDTask class.
Method signatures and docstrings:
- def test_process_newly_public_domain_tj(self): article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article chang... | Implement the Python class `TestCOPDTask` described below.
Class description:
Implement the TestCOPDTask class.
Method signatures and docstrings:
- def test_process_newly_public_domain_tj(self): article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article chang... | ce0ff778eb895da81ca5fb1cf2ef4d91f08c1881 | <|skeleton|>
class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
<|body_0|>
def test_process_newly_public_domain_gj(self):
"""article is in... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestCOPDTask:
def test_process_newly_public_domain_tj(self):
"""article is in public domain since this day and has no height of creation. Defined by death year. Expectation: article changed"""
self.page_mock.text = '{{REDaten\n|BAND=S I\n|KEINE_SCHÖPFUNGSHÖHE=ON\n|TODESJAHR=1950\n}}\nbla\n{{RE... | the_stack_v2_python_sparse | service/ws_re/scanner/tasks/test_move_to_public_domain.py | the-it/WS_THEbotIT | train | 6 | |
b71fe722d7c66fb18faf18f86b97d049d02c3be1 | [
"if pid == 0:\n logger.warning(\"PID 0 refers to 'every process in calling processes', and should be untouched\")\n return True\ntry:\n os.kill(pid, 0)\nexcept OSError as pid_checkout_error:\n if pid_checkout_error.errno == errno.ESRCH:\n return False\n if pid_checkout_error.errno == errno.EPE... | <|body_start_0|>
if pid == 0:
logger.warning("PID 0 refers to 'every process in calling processes', and should be untouched")
return True
try:
os.kill(pid, 0)
except OSError as pid_checkout_error:
if pid_checkout_error.errno == errno.ESRCH:
... | .. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline. | CommandLine | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (i... | stack_v2_sparse_classes_75kplus_train_003294 | 5,903 | permissive | [
{
"docstring": ".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (int): the Process ID you want to check. Returns: A boolean stating the result. Example: .. code-block:: python CommandLine.check_pid_exists(os.getpid()) True",
"name": "check_pid_exists",
... | 3 | stack_v2_sparse_classes_30k_train_048172 | Implement the Python class `CommandLine` described below.
Class description:
.. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline.
Method signatures and docstrings:
- def check_pid_exists(pid: int) -> bool: .. versionadded:: 0.2.0 Check whether the give... | Implement the Python class `CommandLine` described below.
Class description:
.. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline.
Method signatures and docstrings:
- def check_pid_exists(pid: int) -> bool: .. versionadded:: 0.2.0 Check whether the give... | 5e63e4e78a9db4929a34f76b8db5099f0cc49115 | <|skeleton|>
class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommandLine:
""".. versionadded:: 0.2.0 A high-level object to encapsulate the different methods for interacting with the commandline."""
def check_pid_exists(pid: int) -> bool:
""".. versionadded:: 0.2.0 Check whether the given *PID* exists in the current process table. Args: pid (int): the Proc... | the_stack_v2_python_sparse | pyhdtoolkit/utils/cmdline.py | fsoubelet/PyhDToolkit | train | 7 |
b78d0923b8486f19528620bd9a647c84590d3ab4 | [
"self.controller = controller\nself.sock_l = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\nself.sock_l.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\nself.sock_l.bind(('localhost', 9999))\nself.sock_l.listen(0)\nself.sock = None",
"self.sock, addr = self.sock_l.accept()\nself.sock_l.close()\nself.soc... | <|body_start_0|>
self.controller = controller
self.sock_l = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.sock_l.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
self.sock_l.bind(('localhost', 9999))
self.sock_l.listen(0)
self.sock = None
<|end_body_0|>
<|b... | Simulation server exposing PandA simulation controller to TCP server | SimulationServer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimulationServer:
"""Simulation server exposing PandA simulation controller to TCP server"""
def __init__(self, controller):
"""Start simulation server and create controller Args: controller(Controller): Zebra2 controller object"""
<|body_0|>
def run(self):
"""Ac... | stack_v2_sparse_classes_75kplus_train_003295 | 23,000 | permissive | [
{
"docstring": "Start simulation server and create controller Args: controller(Controller): Zebra2 controller object",
"name": "__init__",
"signature": "def __init__(self, controller)"
},
{
"docstring": "Accept the first connection to server, then start simulation",
"name": "run",
"signa... | 4 | stack_v2_sparse_classes_30k_train_014614 | Implement the Python class `SimulationServer` described below.
Class description:
Simulation server exposing PandA simulation controller to TCP server
Method signatures and docstrings:
- def __init__(self, controller): Start simulation server and create controller Args: controller(Controller): Zebra2 controller objec... | Implement the Python class `SimulationServer` described below.
Class description:
Simulation server exposing PandA simulation controller to TCP server
Method signatures and docstrings:
- def __init__(self, controller): Start simulation server and create controller Args: controller(Controller): Zebra2 controller objec... | 9ad5512556c94d38f817b0c02a38d660c8777f43 | <|skeleton|>
class SimulationServer:
"""Simulation server exposing PandA simulation controller to TCP server"""
def __init__(self, controller):
"""Start simulation server and create controller Args: controller(Controller): Zebra2 controller object"""
<|body_0|>
def run(self):
"""Ac... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimulationServer:
"""Simulation server exposing PandA simulation controller to TCP server"""
def __init__(self, controller):
"""Start simulation server and create controller Args: controller(Controller): Zebra2 controller object"""
self.controller = controller
self.sock_l = socket... | the_stack_v2_python_sparse | common/python/simulations.py | PandABlocks/PandABlocks-FPGA | train | 17 |
a41b1df91bfb4a684d6d908af56644acef1f0e43 | [
"nb_weather = len(WEATHER)\nnb_conditions = len(CAR_CONDITION)\nnb_road_status = len(ROAD_STATE)\nobservation_space = MultiDiscrete((nb_weather, nb_conditions, nb_road_status))\naction_space = Discrete(2)\nself.encoder = partial(np.ravel_multi_index, dims=observation_space.nvec)\nself.decoder = partial(np.unravel_i... | <|body_start_0|>
nb_weather = len(WEATHER)
nb_conditions = len(CAR_CONDITION)
nb_road_status = len(ROAD_STATE)
observation_space = MultiDiscrete((nb_weather, nb_conditions, nb_road_status))
action_space = Discrete(2)
self.encoder = partial(np.ravel_multi_index, dims=obser... | Driving agent environment. | DrivingAgentEnv | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DrivingAgentEnv:
"""Driving agent environment."""
def __init__(self):
"""Initialize the environment."""
<|body_0|>
def _compute_dynamics(self) -> Dict:
"""Compute dynamics of the system."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
nb_weather... | stack_v2_sparse_classes_75kplus_train_003296 | 5,627 | no_license | [
{
"docstring": "Initialize the environment.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Compute dynamics of the system.",
"name": "_compute_dynamics",
"signature": "def _compute_dynamics(self) -> Dict"
}
] | 2 | stack_v2_sparse_classes_30k_train_013892 | Implement the Python class `DrivingAgentEnv` described below.
Class description:
Driving agent environment.
Method signatures and docstrings:
- def __init__(self): Initialize the environment.
- def _compute_dynamics(self) -> Dict: Compute dynamics of the system. | Implement the Python class `DrivingAgentEnv` described below.
Class description:
Driving agent environment.
Method signatures and docstrings:
- def __init__(self): Initialize the environment.
- def _compute_dynamics(self) -> Dict: Compute dynamics of the system.
<|skeleton|>
class DrivingAgentEnv:
"""Driving age... | b516ffa46e9df6a67fbda7546f9128c23920c460 | <|skeleton|>
class DrivingAgentEnv:
"""Driving agent environment."""
def __init__(self):
"""Initialize the environment."""
<|body_0|>
def _compute_dynamics(self) -> Dict:
"""Compute dynamics of the system."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DrivingAgentEnv:
"""Driving agent environment."""
def __init__(self):
"""Initialize the environment."""
nb_weather = len(WEATHER)
nb_conditions = len(CAR_CONDITION)
nb_road_status = len(ROAD_STATE)
observation_space = MultiDiscrete((nb_weather, nb_conditions, nb_ro... | the_stack_v2_python_sparse | src/envs/driving_agent.py | marcofavorito/PAC-RDPs-code | train | 2 |
27cec197f57377f6998ac3dfa06cf52a6454d702 | [
"super(G4_SF, self).__init__()\nself.lambd = tf.cast(lambd, tf.keras.backend.floatx())\nself.zeta = tf.cast(zeta, tf.keras.backend.floatx())\nself.basis = GaussianBasis(center=np.zeros_like(eta), gamma=eta)\nself.i = i\nself.j = j\nself.k = k",
"i_rind, a_rind, ind_ij, ind_ik = _triplet_filter(ind_2, ind_3, elems... | <|body_start_0|>
super(G4_SF, self).__init__()
self.lambd = tf.cast(lambd, tf.keras.backend.floatx())
self.zeta = tf.cast(zeta, tf.keras.backend.floatx())
self.basis = GaussianBasis(center=np.zeros_like(eta), gamma=eta)
self.i = i
self.j = j
self.k = k
<|end_body_... | BP-style G4 symmetry functions. | G4_SF | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class G4_SF:
"""BP-style G4 symmetry functions."""
def __init__(self, lambd, zeta, eta, i='ALL', j='ALL', k='ALL'):
"""Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list of floats): Gaussian widths i (str): species i j (str): sp... | stack_v2_sparse_classes_75kplus_train_003297 | 10,280 | permissive | [
{
"docstring": "Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list of floats): Gaussian widths i (str): species i j (str): species j k (str): species k",
"name": "__init__",
"signature": "def __init__(self, lambd, zeta, eta, i='ALL', j='ALL',... | 2 | stack_v2_sparse_classes_30k_train_013228 | Implement the Python class `G4_SF` described below.
Class description:
BP-style G4 symmetry functions.
Method signatures and docstrings:
- def __init__(self, lambd, zeta, eta, i='ALL', j='ALL', k='ALL'): Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list o... | Implement the Python class `G4_SF` described below.
Class description:
BP-style G4 symmetry functions.
Method signatures and docstrings:
- def __init__(self, lambd, zeta, eta, i='ALL', j='ALL', k='ALL'): Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list o... | 5717be6dab46c980d6c1e13949719e61b2ba335a | <|skeleton|>
class G4_SF:
"""BP-style G4 symmetry functions."""
def __init__(self, lambd, zeta, eta, i='ALL', j='ALL', k='ALL'):
"""Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list of floats): Gaussian widths i (str): species i j (str): sp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class G4_SF:
"""BP-style G4 symmetry functions."""
def __init__(self, lambd, zeta, eta, i='ALL', j='ALL', k='ALL'):
"""Args: lambd (list of floats): lambda parameter of G4 SF zeta (list of floats): zeta parameter of G4 SF eta (list of floats): Gaussian widths i (str): species i j (str): species j k (st... | the_stack_v2_python_sparse | pinn/layers/bpsf.py | Teoroo-CMC/PiNN | train | 108 |
c87919dc93fafaa2d8e584a99a9487bedd084d4f | [
"if len(center) == dim:\n self._center = center\nelif len(center) > dim:\n dim = len(center)\n self._center = center\nelse:\n self._center = np.zeros(shape=(dim,))\nif self._center.shape != (dim,):\n raise ValueError(f'Expected {dim}-dimensional inputs.')\nself._amp = amplitude\nself._width = width\n... | <|body_start_0|>
if len(center) == dim:
self._center = center
elif len(center) > dim:
dim = len(center)
self._center = center
else:
self._center = np.zeros(shape=(dim,))
if self._center.shape != (dim,):
raise ValueError(f'Expect... | Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w})^{2}}, where $\\mathbf{r}$ are the nodal coordinates, and $\\mathbf{r}_0$, $am... | AcousticPulse | [
"X11",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AcousticPulse:
"""Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w})^{2}}, where $\\mathbf{r}$ are the no... | stack_v2_sparse_classes_75kplus_train_003298 | 32,800 | permissive | [
{
"docstring": "Initialize acoustic pulse parameters. Parameters ---------- dim: int specify the number of dimensions for the pulse amplitude: float specifies the value of $amplitude$ width: float specifies the rms width of the pulse center: numpy.ndarray pulse location, shape ``(dim,)``",
"name": "__init__... | 2 | stack_v2_sparse_classes_30k_train_029516 | Implement the Python class `AcousticPulse` described below.
Class description:
Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w... | Implement the Python class `AcousticPulse` described below.
Class description:
Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w... | 47f144782258eae2b1fb39520e96f414ae176ff4 | <|skeleton|>
class AcousticPulse:
"""Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w})^{2}}, where $\\mathbf{r}$ are the no... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AcousticPulse:
"""Solution initializer for N-dimensional Gaussian acoustic pulse. The Gaussian pulse is defined by: .. math:: {\\rho}E(\\mathbf{r}) = {\\rho}E + a_0 * G(\\mathbf{r})\\\\ G(\\mathbf{r}) = \\exp^{-(\\frac{(\\mathbf{r}-\\mathbf{r}_0)}{\\sqrt{2}w})^{2}}, where $\\mathbf{r}$ are the nodal coordinat... | the_stack_v2_python_sparse | mirgecom/initializers.py | kaushikcfd/mirgecom | train | 0 |
e1c54603613e217938c5ea0074b929eb25c6ccdc | [
"super(ElasticSearchOutput, self).__init__(store, formatter_mediator, filehandle=filehandle, config=config, filter_use=filter_use)\nself._counter = 0\nself._data = []\nelastic_host = getattr(config, 'elastic_server', '127.0.0.1')\nelastic_port = getattr(config, 'elastic_port', 9200)\nself._elastic_db = pyelasticsea... | <|body_start_0|>
super(ElasticSearchOutput, self).__init__(store, formatter_mediator, filehandle=filehandle, config=config, filter_use=filter_use)
self._counter = 0
self._data = []
elastic_host = getattr(config, 'elastic_server', '127.0.0.1')
elastic_port = getattr(config, 'elast... | Saves the events into an ElasticSearch database. | ElasticSearchOutput | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElasticSearchOutput:
"""Saves the events into an ElasticSearch database."""
def __init__(self, store, formatter_mediator, filehandle=sys.stdout, config=None, filter_use=None):
"""Initializes the log output formatter object. Args: store: A storage file object (instance of StorageFile)... | stack_v2_sparse_classes_75kplus_train_003299 | 8,615 | permissive | [
{
"docstring": "Initializes the log output formatter object. Args: store: A storage file object (instance of StorageFile) that defines the storage. formatter_mediator: the formatter mediator object (instance of FormatterMediator). filehandle: Optional file-like object that can be written to. The default is sys.... | 5 | stack_v2_sparse_classes_30k_test_001619 | Implement the Python class `ElasticSearchOutput` described below.
Class description:
Saves the events into an ElasticSearch database.
Method signatures and docstrings:
- def __init__(self, store, formatter_mediator, filehandle=sys.stdout, config=None, filter_use=None): Initializes the log output formatter object. Arg... | Implement the Python class `ElasticSearchOutput` described below.
Class description:
Saves the events into an ElasticSearch database.
Method signatures and docstrings:
- def __init__(self, store, formatter_mediator, filehandle=sys.stdout, config=None, filter_use=None): Initializes the log output formatter object. Arg... | 2c504690d589bb9e6203d00d9ad53bfd45b32255 | <|skeleton|>
class ElasticSearchOutput:
"""Saves the events into an ElasticSearch database."""
def __init__(self, store, formatter_mediator, filehandle=sys.stdout, config=None, filter_use=None):
"""Initializes the log output formatter object. Args: store: A storage file object (instance of StorageFile)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ElasticSearchOutput:
"""Saves the events into an ElasticSearch database."""
def __init__(self, store, formatter_mediator, filehandle=sys.stdout, config=None, filter_use=None):
"""Initializes the log output formatter object. Args: store: A storage file object (instance of StorageFile) that defines... | the_stack_v2_python_sparse | plaso/output/elastic.py | f-s-p/plaso | train | 0 |
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