blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b37ab6cdd367b1fa60d12ce33cc234d7a42c1eab | [
"if head == None:\n return False\np = head\nq = head.next\nwhile q != None:\n if p == q:\n return True\n p = p.next\n if q.next != None:\n q = q.next.next\n else:\n return False\nreturn False",
"while head:\n if head.val == 'bjfuvth':\n return True\n else:\n ... | <|body_start_0|>
if head == None:
return False
p = head
q = head.next
while q != None:
if p == q:
return True
p = p.next
if q.next != None:
q = q.next.next
else:
return False
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasCycle1(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if head == None:
return False
... | stack_v2_sparse_classes_75kplus_train_072000 | 1,291 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycle1",
"signature": "def hasCycle1(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool",
"name": "hasCycle",
"signature": "def hasCycle(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001671 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle1(self, head): :type head: ListNode :rtype: bool
- def hasCycle(self, head): :type head: ListNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle1(self, head): :type head: ListNode :rtype: bool
- def hasCycle(self, head): :type head: ListNode :rtype: bool
<|skeleton|>
class Solution:
def hasCycle1(self, ... | 48b43999fb7e2ed82d922e1f64ac76f8fabe4baa | <|skeleton|>
class Solution:
def hasCycle1(self, head):
""":type head: ListNode :rtype: bool"""
<|body_0|>
def hasCycle(self, head):
""":type head: ListNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hasCycle1(self, head):
""":type head: ListNode :rtype: bool"""
if head == None:
return False
p = head
q = head.next
while q != None:
if p == q:
return True
p = p.next
if q.next != None:
... | the_stack_v2_python_sparse | 141.py | saleed/LeetCode | train | 2 | |
913e981121b692fffedb3087e5ab995373a885c0 | [
"pipeline_config_path = os.path.join(self.get_temp_dir(), 'pipeline.config')\npipeline_config = pipeline_pb2.TrainEvalPipelineConfig()\npipeline_config.model.ssd.num_classes = 10\npipeline_config.train_config.batch_size = 32\npipeline_config.train_input_reader.label_map_path = 'path/to/label_map'\npipeline_config.e... | <|body_start_0|>
pipeline_config_path = os.path.join(self.get_temp_dir(), 'pipeline.config')
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_config.model.ssd.num_classes = 10
pipeline_config.train_config.batch_size = 32
pipeline_config.train_input_reader.label_m... | ConfigUtilTest | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConfigUtilTest:
def test_get_configs_from_pipeline_file(self):
"""Test that proto configs can be read from pipeline config file."""
<|body_0|>
def test_create_pipeline_proto_from_configs(self):
"""Tests that proto can be reconstructed from configs dictionary."""
... | stack_v2_sparse_classes_75kplus_train_072001 | 3,986 | permissive | [
{
"docstring": "Test that proto configs can be read from pipeline config file.",
"name": "test_get_configs_from_pipeline_file",
"signature": "def test_get_configs_from_pipeline_file(self)"
},
{
"docstring": "Tests that proto can be reconstructed from configs dictionary.",
"name": "test_creat... | 2 | stack_v2_sparse_classes_30k_train_000358 | Implement the Python class `ConfigUtilTest` described below.
Class description:
Implement the ConfigUtilTest class.
Method signatures and docstrings:
- def test_get_configs_from_pipeline_file(self): Test that proto configs can be read from pipeline config file.
- def test_create_pipeline_proto_from_configs(self): Tes... | Implement the Python class `ConfigUtilTest` described below.
Class description:
Implement the ConfigUtilTest class.
Method signatures and docstrings:
- def test_get_configs_from_pipeline_file(self): Test that proto configs can be read from pipeline config file.
- def test_create_pipeline_proto_from_configs(self): Tes... | a115d918f6894a69586174653172be0b5d1de952 | <|skeleton|>
class ConfigUtilTest:
def test_get_configs_from_pipeline_file(self):
"""Test that proto configs can be read from pipeline config file."""
<|body_0|>
def test_create_pipeline_proto_from_configs(self):
"""Tests that proto can be reconstructed from configs dictionary."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ConfigUtilTest:
def test_get_configs_from_pipeline_file(self):
"""Test that proto configs can be read from pipeline config file."""
pipeline_config_path = os.path.join(self.get_temp_dir(), 'pipeline.config')
pipeline_config = pipeline_pb2.TrainEvalPipelineConfig()
pipeline_conf... | the_stack_v2_python_sparse | models/research/lstm_object_detection/utils/config_util_test.py | finnickniu/tensorflow_object_detection_tflite | train | 60 | |
d7646ad0985c17aecf1ff81ccd4dbdf737c456db | [
"resource_models = gm_core.DataResource('deepseg_gm_models')\nfor model_name in gm_model.MODELS.keys():\n model_path, metadata_path = gm_model.MODELS[model_name]\n metadata_abs_path = resource_models.get_file_path(metadata_path)\n assert os.path.isfile(metadata_abs_path)",
"dummy_img = np.ones((203, 202)... | <|body_start_0|>
resource_models = gm_core.DataResource('deepseg_gm_models')
for model_name in gm_model.MODELS.keys():
model_path, metadata_path = gm_model.MODELS[model_name]
metadata_abs_path = resource_models.get_file_path(metadata_path)
assert os.path.isfile(metada... | TestCore | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCore:
def test_data_resource(self):
"""Test the DataResource manager, and check if files exists."""
<|body_0|>
def test_crop_center(self):
"""Test the cropping method, with even and odd sizes."""
<|body_1|>
def test_thresholding(self):
"""Tes... | stack_v2_sparse_classes_75kplus_train_072002 | 4,860 | permissive | [
{
"docstring": "Test the DataResource manager, and check if files exists.",
"name": "test_data_resource",
"signature": "def test_data_resource(self)"
},
{
"docstring": "Test the cropping method, with even and odd sizes.",
"name": "test_crop_center",
"signature": "def test_crop_center(sel... | 6 | stack_v2_sparse_classes_30k_train_030737 | Implement the Python class `TestCore` described below.
Class description:
Implement the TestCore class.
Method signatures and docstrings:
- def test_data_resource(self): Test the DataResource manager, and check if files exists.
- def test_crop_center(self): Test the cropping method, with even and odd sizes.
- def tes... | Implement the Python class `TestCore` described below.
Class description:
Implement the TestCore class.
Method signatures and docstrings:
- def test_data_resource(self): Test the DataResource manager, and check if files exists.
- def test_crop_center(self): Test the cropping method, with even and odd sizes.
- def tes... | 81ebad505180ab18270eb926cca4a134996f8c45 | <|skeleton|>
class TestCore:
def test_data_resource(self):
"""Test the DataResource manager, and check if files exists."""
<|body_0|>
def test_crop_center(self):
"""Test the cropping method, with even and odd sizes."""
<|body_1|>
def test_thresholding(self):
"""Tes... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestCore:
def test_data_resource(self):
"""Test the DataResource manager, and check if files exists."""
resource_models = gm_core.DataResource('deepseg_gm_models')
for model_name in gm_model.MODELS.keys():
model_path, metadata_path = gm_model.MODELS[model_name]
... | the_stack_v2_python_sparse | unit_testing/test_deepseg_gm.py | PaulBautin/spinalcordtoolbox | train | 1 | |
5d63d54f7d2ce60f80baaaa4dd43e96bf1c23ac9 | [
"max_product, current_max, current_min = (float('-inf'), 1, 1)\nfor n in nums:\n current_max, current_min = (max(current_max * n, current_min * n, n), min(current_min * n, current_max * n, n))\n max_product = max(max_product, current_max)\nreturn max_product",
"if not nums or len(nums) < 1:\n return 0\nc... | <|body_start_0|>
max_product, current_max, current_min = (float('-inf'), 1, 1)
for n in nums:
current_max, current_min = (max(current_max * n, current_min * n, n), min(current_min * n, current_max * n, n))
max_product = max(max_product, current_max)
return max_product
<|e... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxProduct_v2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
max_product, current_max, current_min = (flo... | stack_v2_sparse_classes_75kplus_train_072003 | 1,834 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxProduct",
"signature": "def maxProduct(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxProduct_v2",
"signature": "def maxProduct_v2(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_043332 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_v2(self, nums): :type nums: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_v2(self, nums): :type nums: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxProduct... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxProduct_v2(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
max_product, current_max, current_min = (float('-inf'), 1, 1)
for n in nums:
current_max, current_min = (max(current_max * n, current_min * n, n), min(current_min * n, current_max * n, n))
... | the_stack_v2_python_sparse | src/lt_152.py | oxhead/CodingYourWay | train | 0 | |
5174bc0645046c4eb5cd85a37f053c1de3c42ef7 | [
"queue = [root]\nres = []\nwhile queue:\n popItem = queue.pop(0)\n if not popItem:\n res.append('None')\n continue\n else:\n res.append(str(popItem.val))\n queue.append(popItem.left)\n queue.append(popItem.right)\nreturn ','.join(res)",
"data = data.split(',')\nif data[0] == 'N... | <|body_start_0|>
queue = [root]
res = []
while queue:
popItem = queue.pop(0)
if not popItem:
res.append('None')
continue
else:
res.append(str(popItem.val))
queue.append(popItem.left)
queue... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_072004 | 2,714 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | d4215451f1cad3ab6dfb4b082f4fd694fe0d31b4 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
queue = [root]
res = []
while queue:
popItem = queue.pop(0)
if not popItem:
res.append('None')
continue
... | the_stack_v2_python_sparse | leetcode/探索中级算法/7设计问题/二叉树的序列化与反序列化.py | FishRedLeaf/my_code | train | 3 | |
c156c8f898a8c5574ecf63a41c97e214e537f5c6 | [
"tf.random.set_seed(42)\ndtype = np.float64\ninstant_forward_rate_fn_1 = lambda t: 2 * [0.2]\nprocess_1 = tff.models.hull_white.VectorHullWhiteModel(dim=2, mean_reversion=[0.1, 0.2], volatility=[0.1, 0.2], initial_discount_rate_fn=instant_forward_rate_fn_1, dtype=dtype)\ninstant_forward_rate_fn_2 = lambda t: 3 * [0... | <|body_start_0|>
tf.random.set_seed(42)
dtype = np.float64
instant_forward_rate_fn_1 = lambda t: 2 * [0.2]
process_1 = tff.models.hull_white.VectorHullWhiteModel(dim=2, mean_reversion=[0.1, 0.2], volatility=[0.1, 0.2], initial_discount_rate_fn=instant_forward_rate_fn_1, dtype=dtype)
... | JoinedItoProcessTest | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JoinedItoProcessTest:
def test_join_hull_white(self):
"""Tests that join of Hull White is the same as VectorHullWhite."""
<|body_0|>
def test_invalid_processes(self):
"""Tests that all processes should be `ItoProcess`es."""
<|body_1|>
def test_inconsiste... | stack_v2_sparse_classes_75kplus_train_072005 | 4,200 | permissive | [
{
"docstring": "Tests that join of Hull White is the same as VectorHullWhite.",
"name": "test_join_hull_white",
"signature": "def test_join_hull_white(self)"
},
{
"docstring": "Tests that all processes should be `ItoProcess`es.",
"name": "test_invalid_processes",
"signature": "def test_i... | 3 | stack_v2_sparse_classes_30k_train_027222 | Implement the Python class `JoinedItoProcessTest` described below.
Class description:
Implement the JoinedItoProcessTest class.
Method signatures and docstrings:
- def test_join_hull_white(self): Tests that join of Hull White is the same as VectorHullWhite.
- def test_invalid_processes(self): Tests that all processes... | Implement the Python class `JoinedItoProcessTest` described below.
Class description:
Implement the JoinedItoProcessTest class.
Method signatures and docstrings:
- def test_join_hull_white(self): Tests that join of Hull White is the same as VectorHullWhite.
- def test_invalid_processes(self): Tests that all processes... | 0d3a2193c0f2d320b65e602cf01d7a617da484df | <|skeleton|>
class JoinedItoProcessTest:
def test_join_hull_white(self):
"""Tests that join of Hull White is the same as VectorHullWhite."""
<|body_0|>
def test_invalid_processes(self):
"""Tests that all processes should be `ItoProcess`es."""
<|body_1|>
def test_inconsiste... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JoinedItoProcessTest:
def test_join_hull_white(self):
"""Tests that join of Hull White is the same as VectorHullWhite."""
tf.random.set_seed(42)
dtype = np.float64
instant_forward_rate_fn_1 = lambda t: 2 * [0.2]
process_1 = tff.models.hull_white.VectorHullWhiteModel(dim... | the_stack_v2_python_sparse | tf_quant_finance/models/joined_ito_process_test.py | google/tf-quant-finance | train | 4,165 | |
b2eab501eb2b86e44dae85dc8fb2d8ca9589633f | [
"entity_id = provider.issuer\nslo_url = request.build_absolute_uri(reverse('passbook_providers_saml:saml-logout', kwargs={'application': provider.application.slug}))\nsso_post_url = request.build_absolute_uri(reverse('passbook_providers_saml:saml-login', kwargs={'application': provider.application.slug}))\npubkey =... | <|body_start_0|>
entity_id = provider.issuer
slo_url = request.build_absolute_uri(reverse('passbook_providers_saml:saml-logout', kwargs={'application': provider.application.slug}))
sso_post_url = request.build_absolute_uri(reverse('passbook_providers_saml:saml-login', kwargs={'application': prov... | Replies with the XML Metadata IDSSODescriptor. | DescriptorDownloadView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DescriptorDownloadView:
"""Replies with the XML Metadata IDSSODescriptor."""
def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str:
"""Return rendered XML Metadata"""
<|body_0|>
def get(self, request: HttpRequest, application: str) -> HttpResponse:
... | stack_v2_sparse_classes_75kplus_train_072006 | 11,940 | permissive | [
{
"docstring": "Return rendered XML Metadata",
"name": "get_metadata",
"signature": "def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str"
},
{
"docstring": "Replies with the XML Metadata IDSSODescriptor.",
"name": "get",
"signature": "def get(self, request: HttpRequest,... | 2 | null | Implement the Python class `DescriptorDownloadView` described below.
Class description:
Replies with the XML Metadata IDSSODescriptor.
Method signatures and docstrings:
- def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str: Return rendered XML Metadata
- def get(self, request: HttpRequest, applicati... | Implement the Python class `DescriptorDownloadView` described below.
Class description:
Replies with the XML Metadata IDSSODescriptor.
Method signatures and docstrings:
- def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str: Return rendered XML Metadata
- def get(self, request: HttpRequest, applicati... | cba17f6659404445ac3025f11657d89368cc8b4f | <|skeleton|>
class DescriptorDownloadView:
"""Replies with the XML Metadata IDSSODescriptor."""
def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str:
"""Return rendered XML Metadata"""
<|body_0|>
def get(self, request: HttpRequest, application: str) -> HttpResponse:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DescriptorDownloadView:
"""Replies with the XML Metadata IDSSODescriptor."""
def get_metadata(request: HttpRequest, provider: SAMLProvider) -> str:
"""Return rendered XML Metadata"""
entity_id = provider.issuer
slo_url = request.build_absolute_uri(reverse('passbook_providers_saml:... | the_stack_v2_python_sparse | passbook/providers/saml/views.py | fossabot/passbook | train | 0 |
709e92c810d43af66641165e8ebdea96c7f4a067 | [
"self.location = location\nself.ipversion = ipversion\nself.directory = Directory()\nself.hosts = gocept.net.dhcp.Hosts()\nself.networks = {}",
"vlans = self.directory.lookup_networks_details(self.location, self.ipversion)\nfor vlan, networks in vlans.items():\n self.networks[vlan] = gocept.net.dhcp.SharedNetw... | <|body_start_0|>
self.location = location
self.ipversion = ipversion
self.directory = Directory()
self.hosts = gocept.net.dhcp.Hosts()
self.networks = {}
<|end_body_0|>
<|body_start_1|>
vlans = self.directory.lookup_networks_details(self.location, self.ipversion)
... | dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a complete dhcpd.conf file. | DHCPd | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DHCPd:
"""dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a complete dhcpd.conf file."""
def __init... | stack_v2_sparse_classes_75kplus_train_072007 | 10,904 | no_license | [
{
"docstring": "Initialize instance with location, vlan, and ipversion defaults.",
"name": "__init__",
"signature": "def __init__(self, location, ipversion=4)"
},
{
"docstring": "Retrieve networks and hosts from directory and add them to subnets.",
"name": "query_directory",
"signature":... | 3 | null | Implement the Python class `DHCPd` described below.
Class description:
dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a compl... | Implement the Python class `DHCPd` described below.
Class description:
dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a compl... | be47660631f72e134a0d873df7bc069439cbacdb | <|skeleton|>
class DHCPd:
"""dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a complete dhcpd.conf file."""
def __init... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DHCPd:
"""dhcpd.conf generator. This class retrieves information about configured hosts from the directory and creates a dhcpd.conf part that represents that information. This part can optionally be merged with one or more static includes to assemble a complete dhcpd.conf file."""
def __init__(self, loca... | the_stack_v2_python_sparse | src/gocept/net/configure/dhcpd.py | flyingcircusio/fc.agent | train | 0 |
a6489cd60d6902b6bbd014ce5508f25107fea124 | [
"res = super(AccountInvoiceLine, self).onchange_invoice_product_id(product_id, invoice)\nif isinstance(product_id, int):\n product_id = self.env['product.product'].browse(product_id)\nsuppinfo = False\nfiscal_position = invoice.fiscal_position_id\nif product_id:\n if product_id.purchase_ok and invoice.type in... | <|body_start_0|>
res = super(AccountInvoiceLine, self).onchange_invoice_product_id(product_id, invoice)
if isinstance(product_id, int):
product_id = self.env['product.product'].browse(product_id)
suppinfo = False
fiscal_position = invoice.fiscal_position_id
if product... | AccountInvoiceLine | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccountInvoiceLine:
def onchange_invoice_product_id(self, product_id, invoice):
"""Récupération des infos du produit et du supplierinfo"""
<|body_0|>
def _onchange_sec_uom_qty(self):
"""Au changement de la qty, changement des autres qty"""
<|body_1|>
def... | stack_v2_sparse_classes_75kplus_train_072008 | 14,763 | no_license | [
{
"docstring": "Récupération des infos du produit et du supplierinfo",
"name": "onchange_invoice_product_id",
"signature": "def onchange_invoice_product_id(self, product_id, invoice)"
},
{
"docstring": "Au changement de la qty, changement des autres qty",
"name": "_onchange_sec_uom_qty",
... | 3 | stack_v2_sparse_classes_30k_train_005164 | Implement the Python class `AccountInvoiceLine` described below.
Class description:
Implement the AccountInvoiceLine class.
Method signatures and docstrings:
- def onchange_invoice_product_id(self, product_id, invoice): Récupération des infos du produit et du supplierinfo
- def _onchange_sec_uom_qty(self): Au changem... | Implement the Python class `AccountInvoiceLine` described below.
Class description:
Implement the AccountInvoiceLine class.
Method signatures and docstrings:
- def onchange_invoice_product_id(self, product_id, invoice): Récupération des infos du produit et du supplierinfo
- def _onchange_sec_uom_qty(self): Au changem... | eb394e1f79ba1995da2dcd81adfdd511c22caff9 | <|skeleton|>
class AccountInvoiceLine:
def onchange_invoice_product_id(self, product_id, invoice):
"""Récupération des infos du produit et du supplierinfo"""
<|body_0|>
def _onchange_sec_uom_qty(self):
"""Au changement de la qty, changement des autres qty"""
<|body_1|>
def... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccountInvoiceLine:
def onchange_invoice_product_id(self, product_id, invoice):
"""Récupération des infos du produit et du supplierinfo"""
res = super(AccountInvoiceLine, self).onchange_invoice_product_id(product_id, invoice)
if isinstance(product_id, int):
product_id = sel... | the_stack_v2_python_sparse | OpenPROD/openprod-addons/purchase/account_invoice.py | kazacube-mziouadi/ceci | train | 0 | |
b6c9b93c5f37b81f09f14ed995acbaa3151081e4 | [
"self.is_file_like = is_file_like(path)\nif not self.is_file_like:\n self.lock_path = path + '.lock'\n self._fhandle = None",
"if self.is_file_like:\n return\nself._fhandle = open(self.lock_path, 'wb+')\nif sys.platform.startswith('win'):\n locked = False\n while not locked:\n try:\n ... | <|body_start_0|>
self.is_file_like = is_file_like(path)
if not self.is_file_like:
self.lock_path = path + '.lock'
self._fhandle = None
<|end_body_0|>
<|body_start_1|>
if self.is_file_like:
return
self._fhandle = open(self.lock_path, 'wb+')
if ... | Context manager that locks a file for exclusive access. Has no effect for file-like objects. | LockFile | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"ISC",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
<|body_0|>
def __enter__(self):
"""Locks the file by creating a temporary `.lock` ... | stack_v2_sparse_classes_75kplus_train_072009 | 32,552 | permissive | [
{
"docstring": "Args: path (str): The path to the file.",
"name": "__init__",
"signature": "def __init__(self, path)"
},
{
"docstring": "Locks the file by creating a temporary `.lock` file and acquiring exclusive access to it. Returns: file-like: The open file object.",
"name": "__enter__",
... | 3 | stack_v2_sparse_classes_30k_train_021020 | Implement the Python class `LockFile` described below.
Class description:
Context manager that locks a file for exclusive access. Has no effect for file-like objects.
Method signatures and docstrings:
- def __init__(self, path): Args: path (str): The path to the file.
- def __enter__(self): Locks the file by creating... | Implement the Python class `LockFile` described below.
Class description:
Context manager that locks a file for exclusive access. Has no effect for file-like objects.
Method signatures and docstrings:
- def __init__(self, path): Args: path (str): The path to the file.
- def __enter__(self): Locks the file by creating... | a167852705d74bcc619d8fad0af4b9e4d84472fc | <|skeleton|>
class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
<|body_0|>
def __enter__(self):
"""Locks the file by creating a temporary `.lock` ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
self.is_file_like = is_file_like(path)
if not self.is_file_like:
self.lock_path = path +... | the_stack_v2_python_sparse | tools/Polygraphy/polygraphy/util/util.py | NVIDIA/TensorRT | train | 8,026 |
f128e0c6b367f85e005a274cda3023d9873401ba | [
"self.__base_output_dir = base_output_dir\nself.__satellite_tle = satellite_tle\nself.__ground_station = ground_station\nself.__tz = tz\nself.__report_timezone = tz.tzname(datetime.now())\nself.__start_day = start_day\nself.__end_day = end_day\nself.__out = sys.stdout",
"end = start = datetime.now()\nstart = star... | <|body_start_0|>
self.__base_output_dir = base_output_dir
self.__satellite_tle = satellite_tle
self.__ground_station = ground_station
self.__tz = tz
self.__report_timezone = tz.tzname(datetime.now())
self.__start_day = start_day
self.__end_day = end_day
se... | Class to create a list of inviews report for a given satellite and ground station for a specific time period | InviewListReportGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InviewListReportGenerator:
"""Class to create a list of inviews report for a given satellite and ground station for a specific time period"""
def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0, end_day=0):
"""Constructor"""
<|body_0|>
def ... | stack_v2_sparse_classes_75kplus_train_072010 | 2,403 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0, end_day=0)"
},
{
"docstring": "Method to generate the inview report",
"name": "generate_report",
"signature": "def generate_report(self)"
... | 2 | stack_v2_sparse_classes_30k_train_038712 | Implement the Python class `InviewListReportGenerator` described below.
Class description:
Class to create a list of inviews report for a given satellite and ground station for a specific time period
Method signatures and docstrings:
- def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0... | Implement the Python class `InviewListReportGenerator` described below.
Class description:
Class to create a list of inviews report for a given satellite and ground station for a specific time period
Method signatures and docstrings:
- def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0... | 0eed643eeaa9bcc35020b0b38399c25b616421c2 | <|skeleton|>
class InviewListReportGenerator:
"""Class to create a list of inviews report for a given satellite and ground station for a specific time period"""
def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0, end_day=0):
"""Constructor"""
<|body_0|>
def ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InviewListReportGenerator:
"""Class to create a list of inviews report for a given satellite and ground station for a specific time period"""
def __init__(self, base_output_dir, satellite_tle, ground_station, tz, start_day=0, end_day=0):
"""Constructor"""
self.__base_output_dir = base_out... | the_stack_v2_python_sparse | scripts/inview_list_report_generator.py | nasa-itc/OrbitInviewPowerPrediction | train | 0 |
3bce24aa669609dbf40955b70ee6340e20bdf00a | [
"version_url = self._get_base_version_url()\nresp, body = self.raw_request(version_url, 'GET')\nself._error_checker(resp, body)\nbody = json.loads(body)\nself.validate_response(schema.list_versions, resp, body)\nreturn rest_client.ResponseBody(resp, body)",
"version_url = urljoin(self._get_base_version_url(), ver... | <|body_start_0|>
version_url = self._get_base_version_url()
resp, body = self.raw_request(version_url, 'GET')
self._error_checker(resp, body)
body = json.loads(body)
self.validate_response(schema.list_versions, resp, body)
return rest_client.ResponseBody(resp, body)
<|end... | VersionsClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
<|body_0|>
def show_version(self, version):
... | stack_v2_sparse_classes_75kplus_train_072011 | 2,524 | permissive | [
{
"docstring": "List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions",
"name": "list_versions",
"signature": "def list_versions(self)"
},
{
"docstring": "Show API version ... | 2 | stack_v2_sparse_classes_30k_train_053707 | Implement the Python class `VersionsClient` described below.
Class description:
Implement the VersionsClient class.
Method signatures and docstrings:
- def list_versions(self): List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/blo... | Implement the Python class `VersionsClient` described below.
Class description:
Implement the VersionsClient class.
Method signatures and docstrings:
- def list_versions(self): List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/blo... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
<|body_0|>
def show_version(self, version):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VersionsClient:
def list_versions(self):
"""List API versions For a full list of available parameters, please refer to the official API reference: https://docs.openstack.org/api-ref/block-storage/v3/#list-all-api-versions"""
version_url = self._get_base_version_url()
resp, body = self.... | the_stack_v2_python_sparse | tempest/lib/services/volume/v3/versions_client.py | openstack/tempest | train | 270 | |
0d6309c20137340972ab4833703a9c67f7de943b | [
"self.u0 = u0.copy()\nself.t0 = 0.0\nself.dt = dt\nself.h = h\nself.lbnd = lbnd\nself.ubnd = ubnd\nself.g = g\nself.d = g * dt / h ** 2\nd = self.d\nm = len(u0)\nself.A = 2 * (1 + d) * np.eye(m) - d * np.eye(m, k=1) - d * np.eye(m, k=-1)",
"h = self.h\ndt = self.dt\nlbnd = self.lbnd\nubnd = self.ubnd\nd = self.d\... | <|body_start_0|>
self.u0 = u0.copy()
self.t0 = 0.0
self.dt = dt
self.h = h
self.lbnd = lbnd
self.ubnd = ubnd
self.g = g
self.d = g * dt / h ** 2
d = self.d
m = len(u0)
self.A = 2 * (1 + d) * np.eye(m) - d * np.eye(m, k=1) - d * np.e... | 線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet 境界条件において定数が与えられた場合に対応する． ubnd : float 境界条件．u(x_1, t) の値．lbnd と同様. g : float 拡散... | Diffusion1d | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Diffusion1d:
"""線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet 境界条件において定数が与えられた場合に対応する． ubnd : float 境... | stack_v2_sparse_classes_75kplus_train_072012 | 3,258 | no_license | [
{
"docstring": "Parameters ---------- u0 : ndarray, shape (n,) 初期条件．u(x, t_0) を意味する。 h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet 境界条件において定数が与えられた場合に対応する． ubnd : float 境界条件．u(x_1, t) の値．lbnd と同様. g : float 拡散係数",
"name": "__init__",
"signature": "def __init__(self, u0, h, ... | 2 | stack_v2_sparse_classes_30k_train_046913 | Implement the Python class `Diffusion1d` described below.
Class description:
線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet ... | Implement the Python class `Diffusion1d` described below.
Class description:
線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet ... | b989fea731be95b67e8bba9f57aeeb503c4a7ee3 | <|skeleton|>
class Diffusion1d:
"""線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet 境界条件において定数が与えられた場合に対応する． ubnd : float 境... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Diffusion1d:
"""線形拡散方程式のソルバ(1d) 支配方程式: ∂u/∂t = g * ∂/∂x(∂u/∂x) 手法: Crank–Nicolson 法 Attributes ---------- u0 : ndarray, shape (m,) 初期条件．u(x, t_0) を意味する。 t0 : float イテレーション開始時刻を保持する． h : float 空間の刻み幅 dt : float 時間の刻み幅 lbnd : float 境界条件．u(x_0, t) の値．Dirichlet 境界条件において定数が与えられた場合に対応する． ubnd : float 境界条件．u(x_1, t)... | the_stack_v2_python_sparse | numerical/pde/diffusion_1d.py | kotoji/numerical | train | 0 |
04e2071b8ed8d96c1baaa8e0968d1ca1fb01af4e | [
"nr = len(matrix)\nif nr == 0:\n self.mat = []\n return\nnc = len(matrix[0])\nif nc == 0:\n self.mat = []\n return\nself.mat = [[0] * nc for _ in range(nr)]\nself.mat[0][0] = matrix[0][0]\nfor r in range(1, nr):\n self.mat[r][0] = self.mat[r - 1][0] + matrix[r][0]\nfor c in range(1, nc):\n self.ma... | <|body_start_0|>
nr = len(matrix)
if nr == 0:
self.mat = []
return
nc = len(matrix[0])
if nc == 0:
self.mat = []
return
self.mat = [[0] * nc for _ in range(nr)]
self.mat[0][0] = matrix[0][0]
for r in range(1, nr):
... | 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_072013 | 1,767 | 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_026433 | 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:... | 0b0911851bad871b1da66fa5b8731b96bf9c313a | <|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]]"""
nr = len(matrix)
if nr == 0:
self.mat = []
return
nc = len(matrix[0])
if nc == 0:
self.mat = []
return
self.mat = [[0] * nc for _ in range(... | the_stack_v2_python_sparse | 304. Range Sum Query 2D - Immutable/Solution1.py | ChenPH0522/LeetCode | train | 0 | |
37d253a8a5378f92a7885a3e9d7312a73c94ab25 | [
"current_dir = os.path.dirname(os.path.abspath(__file__))\nself.test_dir = current_dir + '/component_test/'\ncomp = component_main.Component()\nrandom_num = int(random.random() * 1000)\nself.tmp_dir = '/tmp/test_{{}}_{{}}/'.format(comp.component_name, random_num)\nos.mkdir(self.tmp_dir)",
"component = component_m... | <|body_start_0|>
current_dir = os.path.dirname(os.path.abspath(__file__))
self.test_dir = current_dir + '/component_test/'
comp = component_main.Component()
random_num = int(random.random() * 1000)
self.tmp_dir = '/tmp/test_{{}}_{{}}/'.format(comp.component_name, random_num)
... | Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well. | TestSeed | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSeed:
"""Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well."""
def setUp(self):
"""Set a few common variables."""
<|body_0|>
def setup_component(self, args):
"""... | stack_v2_sparse_classes_75kplus_train_072014 | 5,068 | no_license | [
{
"docstring": "Set a few common variables.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Create uniform Component instances.",
"name": "setup_component",
"signature": "def setup_component(self, args)"
},
{
"docstring": "Build and run commands based on cmd ... | 4 | null | Implement the Python class `TestSeed` described below.
Class description:
Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well.
Method signatures and docstrings:
- def setUp(self): Set a few common variables.
- def setup_co... | Implement the Python class `TestSeed` described below.
Class description:
Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well.
Method signatures and docstrings:
- def setUp(self): Set a few common variables.
- def setup_co... | 77639a138e520506e4395cade8ca27b4e6a377c6 | <|skeleton|>
class TestSeed:
"""Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well."""
def setUp(self):
"""Set a few common variables."""
<|body_0|>
def setup_component(self, args):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSeed:
"""Test the seed by running it with some sample data and comparing the output with what's expected. The functions in component_main are tested as well."""
def setUp(self):
"""Set a few common variables."""
current_dir = os.path.dirname(os.path.abspath(__file__))
self.tes... | the_stack_v2_python_sparse | automake_component/component_template/component_test.py | morinlab/lab_scripts | train | 6 |
cd3edbaa5672c8653dba9d4566009a9b61f5d5e3 | [
"if not settings.DEBUG:\n return {}\nreturn {'athlete': {'name': 'Domen Blenkuš', 'age': '28', 'weight': 74.5}, 'measurements': [{'time': 180, 'power': 443}, {'time': 300, 'power': 386}, {'time': 720, 'power': 347}]}",
"with transaction.atomic():\n athlete = forms['athlete'].save(contributor=self.request.us... | <|body_start_0|>
if not settings.DEBUG:
return {}
return {'athlete': {'name': 'Domen Blenkuš', 'age': '28', 'weight': 74.5}, 'measurements': [{'time': 180, 'power': 443}, {'time': 300, 'power': 386}, {'time': 720, 'power': 347}]}
<|end_body_0|>
<|body_start_1|>
with transaction.atom... | Critical Power Test view. | CriticalPowerTestView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CriticalPowerTestView:
"""Critical Power Test view."""
def get_initial(self):
"""Return initial values if ``DEBUG`` setting is set to ``True``."""
<|body_0|>
def _save_data(self, forms):
"""Save data."""
<|body_1|>
def forms_valid(self, forms):
... | stack_v2_sparse_classes_75kplus_train_072015 | 2,682 | permissive | [
{
"docstring": "Return initial values if ``DEBUG`` setting is set to ``True``.",
"name": "get_initial",
"signature": "def get_initial(self)"
},
{
"docstring": "Save data.",
"name": "_save_data",
"signature": "def _save_data(self, forms)"
},
{
"docstring": "Save data, make report ... | 3 | stack_v2_sparse_classes_30k_train_034471 | Implement the Python class `CriticalPowerTestView` described below.
Class description:
Critical Power Test view.
Method signatures and docstrings:
- def get_initial(self): Return initial values if ``DEBUG`` setting is set to ``True``.
- def _save_data(self, forms): Save data.
- def forms_valid(self, forms): Save data... | Implement the Python class `CriticalPowerTestView` described below.
Class description:
Critical Power Test view.
Method signatures and docstrings:
- def get_initial(self): Return initial values if ``DEBUG`` setting is set to ``True``.
- def _save_data(self, forms): Save data.
- def forms_valid(self, forms): Save data... | bae6105812c2f2414d0c10ddd465bf589503f61a | <|skeleton|>
class CriticalPowerTestView:
"""Critical Power Test view."""
def get_initial(self):
"""Return initial values if ``DEBUG`` setting is set to ``True``."""
<|body_0|>
def _save_data(self, forms):
"""Save data."""
<|body_1|>
def forms_valid(self, forms):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CriticalPowerTestView:
"""Critical Power Test view."""
def get_initial(self):
"""Return initial values if ``DEBUG`` setting is set to ``True``."""
if not settings.DEBUG:
return {}
return {'athlete': {'name': 'Domen Blenkuš', 'age': '28', 'weight': 74.5}, 'measurements'... | the_stack_v2_python_sparse | src/lactolyse/views/critical_power.py | dblenkus/lactolyse | train | 2 |
ecde8275229eb326b3b62dec9e27fd0dc93220ec | [
"shared_weight_names = []\nfor shared_weight_name, repeated_node_list in GlobalContext().repeated_weights.items():\n if node.onnx_name in repeated_node_list:\n shared_weight_names.append(shared_weight_name)\nreturn shared_weight_names",
"default_weight_name = f'passthrough_w_{module_to_be_registered.sha... | <|body_start_0|>
shared_weight_names = []
for shared_weight_name, repeated_node_list in GlobalContext().repeated_weights.items():
if node.onnx_name in repeated_node_list:
shared_weight_names.append(shared_weight_name)
return shared_weight_names
<|end_body_0|>
<|body_... | Helper function to process shared weights. | SharedWeightHelper | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SharedWeightHelper:
"""Helper function to process shared weights."""
def check_node_has_shared_weight(node: NodeStruct):
"""Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. Returns: list, a list of shared weight onnx names"""
... | stack_v2_sparse_classes_75kplus_train_072016 | 4,646 | permissive | [
{
"docstring": "Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. Returns: list, a list of shared weight onnx names",
"name": "check_node_has_shared_weight",
"signature": "def check_node_has_shared_weight(node: NodeStruct)"
},
{
"docstring": "... | 5 | stack_v2_sparse_classes_30k_train_026181 | Implement the Python class `SharedWeightHelper` described below.
Class description:
Helper function to process shared weights.
Method signatures and docstrings:
- def check_node_has_shared_weight(node: NodeStruct): Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. ... | Implement the Python class `SharedWeightHelper` described below.
Class description:
Helper function to process shared weights.
Method signatures and docstrings:
- def check_node_has_shared_weight(node: NodeStruct): Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. ... | 9073ef36d7f750c72262c87779e77e7c3602dd83 | <|skeleton|>
class SharedWeightHelper:
"""Helper function to process shared weights."""
def check_node_has_shared_weight(node: NodeStruct):
"""Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. Returns: list, a list of shared weight onnx names"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SharedWeightHelper:
"""Helper function to process shared weights."""
def check_node_has_shared_weight(node: NodeStruct):
"""Check the node has shared weight and return all of them. Args: node (NodeStruct): NodeStruct instance. Returns: list, a list of shared weight onnx names"""
shared_we... | the_stack_v2_python_sparse | mindinsight/mindconverter/graph_based_converter/generator/shared_weights.py | nimengliusha/mindinsight | train | 0 |
0a8ac351d92f30d2694341ff6977d3a26435cef4 | [
"q1 = [node]\nans = Node(node.val, [])\nq2 = [ans]\nvisited = set()\nwhile q1:\n cur1 = q1.pop()\n cur2 = q2.pop()\n visited.add(cur1)\n for neighbor in cur1.neighbors:\n if neighbor in visited:\n continue\n if neighbor not in q1:\n q1.append(neighbor)\n ne... | <|body_start_0|>
q1 = [node]
ans = Node(node.val, [])
q2 = [ans]
visited = set()
while q1:
cur1 = q1.pop()
cur2 = q2.pop()
visited.add(cur1)
for neighbor in cur1.neighbors:
if neighbor in visited:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
"""bfs"""
<|body_0|>
def cloneGraph1(self, node: 'Node') -> 'Node':
"""dfs"""
<|body_1|>
def cloneGraph2(self, node: 'Node') -> 'Node':
"""非递归 dfs"""
<|body_2|>
def cloneGraph3(... | stack_v2_sparse_classes_75kplus_train_072017 | 2,567 | no_license | [
{
"docstring": "bfs",
"name": "cloneGraph",
"signature": "def cloneGraph(self, node: 'Node') -> 'Node'"
},
{
"docstring": "dfs",
"name": "cloneGraph1",
"signature": "def cloneGraph1(self, node: 'Node') -> 'Node'"
},
{
"docstring": "非递归 dfs",
"name": "cloneGraph2",
"signat... | 4 | stack_v2_sparse_classes_30k_train_026037 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cloneGraph(self, node: 'Node') -> 'Node': bfs
- def cloneGraph1(self, node: 'Node') -> 'Node': dfs
- def cloneGraph2(self, node: 'Node') -> 'Node': 非递归 dfs
- def cloneGraph3(... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cloneGraph(self, node: 'Node') -> 'Node': bfs
- def cloneGraph1(self, node: 'Node') -> 'Node': dfs
- def cloneGraph2(self, node: 'Node') -> 'Node': 非递归 dfs
- def cloneGraph3(... | e2fecd266bfced6208694b19a2d81182b13dacd6 | <|skeleton|>
class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
"""bfs"""
<|body_0|>
def cloneGraph1(self, node: 'Node') -> 'Node':
"""dfs"""
<|body_1|>
def cloneGraph2(self, node: 'Node') -> 'Node':
"""非递归 dfs"""
<|body_2|>
def cloneGraph3(... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
"""bfs"""
q1 = [node]
ans = Node(node.val, [])
q2 = [ans]
visited = set()
while q1:
cur1 = q1.pop()
cur2 = q2.pop()
visited.add(cur1)
for neighbor in cur1.nei... | the_stack_v2_python_sparse | cloneGraph.py | HuipengXu/leetcode | train | 0 | |
6e335cccb6810cbf73e3b5f7183abf12f4069640 | [
"for project_id, forwarding_rules in resource_from_api.iteritems():\n for rule in forwarding_rules:\n yield {'project_id': project_id, 'id': rule.get('id'), 'creation_timestamp': parser.format_timestamp(rule.get('creationTimestamp'), self.MYSQL_DATETIME_FORMAT), 'name': rule.get('name'), 'description': ru... | <|body_start_0|>
for project_id, forwarding_rules in resource_from_api.iteritems():
for rule in forwarding_rules:
yield {'project_id': project_id, 'id': rule.get('id'), 'creation_timestamp': parser.format_timestamp(rule.get('creationTimestamp'), self.MYSQL_DATETIME_FORMAT), 'name': r... | Load compute forwarding rules for all projects. | LoadForwardingRulesPipeline | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadForwardingRulesPipeline:
"""Load compute forwarding rules for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. Args: resource_from_api: A dict of forwarding rules, keye... | stack_v2_sparse_classes_75kplus_train_072018 | 4,005 | permissive | [
{
"docstring": "Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. Args: resource_from_api: A dict of forwarding rules, keyed by project id, from GCP API. Yields: Iterator of forwarding rule properties in a dict.",
"name": "_transform",
"signature": "def ... | 3 | null | Implement the Python class `LoadForwardingRulesPipeline` described below.
Class description:
Load compute forwarding rules for all projects.
Method signatures and docstrings:
- def _transform(self, resource_from_api): Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. ... | Implement the Python class `LoadForwardingRulesPipeline` described below.
Class description:
Load compute forwarding rules for all projects.
Method signatures and docstrings:
- def _transform(self, resource_from_api): Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. ... | a6a1aa7464cda2ad5948e3e8876eb8dded5e2514 | <|skeleton|>
class LoadForwardingRulesPipeline:
"""Load compute forwarding rules for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. Args: resource_from_api: A dict of forwarding rules, keye... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadForwardingRulesPipeline:
"""Load compute forwarding rules for all projects."""
def _transform(self, resource_from_api):
"""Create an iterator of forwarding rules to load into database. TODO: truncate the region and target. Args: resource_from_api: A dict of forwarding rules, keyed by project ... | the_stack_v2_python_sparse | google/cloud/security/inventory/pipelines/load_forwarding_rules_pipeline.py | shimizu19691210/forseti-security | train | 1 |
08feff8ded758a44575a959bc56bbd3ea17d3ebb | [
"super(Worker, self).__init__(name='Worker-%d' % next(self._counter))\nself._queue = jobs_queue\nself._job = None",
"logger.debug('%s started.', self.name)\nwhile True:\n self._job = self._queue.get()\n logger.info('%s picked up %s', self.name, self._job)\n try:\n if self._job == KILL_WORKER:\n ... | <|body_start_0|>
super(Worker, self).__init__(name='Worker-%d' % next(self._counter))
self._queue = jobs_queue
self._job = None
<|end_body_0|>
<|body_start_1|>
logger.debug('%s started.', self.name)
while True:
self._job = self._queue.get()
logger.info('%... | Worker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Worker:
def __init__(self, jobs_queue):
""":param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]"""
<|body_0|>
def run(self):
"""Runs Worker thread which polls queue for commands and starts them."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus_train_072019 | 21,767 | no_license | [
{
"docstring": ":param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]",
"name": "__init__",
"signature": "def __init__(self, jobs_queue)"
},
{
"docstring": "Runs Worker thread which polls queue for commands and starts them.",
"name": "run",
"signat... | 2 | stack_v2_sparse_classes_30k_train_013928 | Implement the Python class `Worker` described below.
Class description:
Implement the Worker class.
Method signatures and docstrings:
- def __init__(self, jobs_queue): :param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]
- def run(self): Runs Worker thread which polls queue fo... | Implement the Python class `Worker` described below.
Class description:
Implement the Worker class.
Method signatures and docstrings:
- def __init__(self, jobs_queue): :param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]
- def run(self): Runs Worker thread which polls queue fo... | 20bcc179792c4f975eeeb0924a9f234599453090 | <|skeleton|>
class Worker:
def __init__(self, jobs_queue):
""":param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]"""
<|body_0|>
def run(self):
"""Runs Worker thread which polls queue for commands and starts them."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Worker:
def __init__(self, jobs_queue):
""":param jobs_queue: queue with the jobs to execute :type jobs_queue: queue.Queue[LocalCommand]"""
super(Worker, self).__init__(name='Worker-%d' % next(self._counter))
self._queue = jobs_queue
self._job = None
def run(self):
... | the_stack_v2_python_sparse | slivka/scheduler/task_queue.py | stuartmac/Slivka | train | 0 | |
bbb3646e1a330727d0865249c26952ef6940a00e | [
"errors = {}\nif user_input is not None:\n self._async_abort_entries_match({CONF_HOST: user_input[CONF_HOST], CONF_NAME: user_input[CONF_NAME]})\n if not (error := (await self._async_try_connect(user_input[CONF_HOST]))):\n return self.async_create_entry(title=user_input[CONF_NAME], data=user_input)\n ... | <|body_start_0|>
errors = {}
if user_input is not None:
self._async_abort_entries_match({CONF_HOST: user_input[CONF_HOST], CONF_NAME: user_input[CONF_NAME]})
if not (error := (await self._async_try_connect(user_input[CONF_HOST]))):
return self.async_create_entry(t... | Handle a config flow for NFAndroidTV. | NFAndroidTVFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NFAndroidTVFlowHandler:
"""Handle a config flow for NFAndroidTV."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle a flow initiated by the user."""
<|body_0|>
async def _async_try_connect(self, host: str) -> str | None:
... | stack_v2_sparse_classes_75kplus_train_072020 | 2,017 | permissive | [
{
"docstring": "Handle a flow initiated by the user.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult"
},
{
"docstring": "Try connecting to Android TV / Fire TV.",
"name": "_async_try_connect",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_014943 | Implement the Python class `NFAndroidTVFlowHandler` described below.
Class description:
Handle a config flow for NFAndroidTV.
Method signatures and docstrings:
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle a flow initiated by the user.
- async def _async_try_connect(s... | Implement the Python class `NFAndroidTVFlowHandler` described below.
Class description:
Handle a config flow for NFAndroidTV.
Method signatures and docstrings:
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle a flow initiated by the user.
- async def _async_try_connect(s... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class NFAndroidTVFlowHandler:
"""Handle a config flow for NFAndroidTV."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle a flow initiated by the user."""
<|body_0|>
async def _async_try_connect(self, host: str) -> str | None:
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NFAndroidTVFlowHandler:
"""Handle a config flow for NFAndroidTV."""
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle a flow initiated by the user."""
errors = {}
if user_input is not None:
self._async_abort_entries_match(... | the_stack_v2_python_sparse | homeassistant/components/nfandroidtv/config_flow.py | home-assistant/core | train | 35,501 |
b974d59bff93105082247195cb430080e94c99df | [
"mac_addr = self.parameter_value('mac_address', kwargs)\nif mac_addr:\n return self.new_query(nic.NIC).get(mac_addr)",
"value = self.fetch_nic(kwargs)\nif not value:\n return self.set_status(404)\nLOGGER.warning('Deleting nic %s', value.id)\nself.database.delete(value)\nself.database.commit()\nself.set_stat... | <|body_start_0|>
mac_addr = self.parameter_value('mac_address', kwargs)
if mac_addr:
return self.new_query(nic.NIC).get(mac_addr)
<|end_body_0|>
<|body_start_1|>
value = self.fetch_nic(kwargs)
if not value:
return self.set_status(404)
LOGGER.warning('Dele... | API interface for managing nic data | NIC | [
"BSD-3-Clause",
"CC-BY-3.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NIC:
"""API interface for managing nic data"""
def fetch_nic(self, kwargs):
"""Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC"""
<|body_0|>
def delete(self, *args, **kwargs):
"""Delete a n... | stack_v2_sparse_classes_75kplus_train_072021 | 2,795 | permissive | [
{
"docstring": "Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC",
"name": "fetch_nic",
"signature": "def fetch_nic(self, kwargs)"
},
{
"docstring": "Delete a nic from the nic. Accepts nic_id as a query parameter or in the ... | 4 | stack_v2_sparse_classes_30k_train_037054 | Implement the Python class `NIC` described below.
Class description:
API interface for managing nic data
Method signatures and docstrings:
- def fetch_nic(self, kwargs): Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC
- def delete(self, *args, ... | Implement the Python class `NIC` described below.
Class description:
API interface for managing nic data
Method signatures and docstrings:
- def fetch_nic(self, kwargs): Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC
- def delete(self, *args, ... | 0acd513b2bcbc9bb5f7c5a657b41ed6601fcd002 | <|skeleton|>
class NIC:
"""API interface for managing nic data"""
def fetch_nic(self, kwargs):
"""Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC"""
<|body_0|>
def delete(self, *args, **kwargs):
"""Delete a n... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NIC:
"""API interface for managing nic data"""
def fetch_nic(self, kwargs):
"""Get a single nic from the database. :param dict kwargs: Keyword arguments from the request :rtype: apiary.mappers.nic.NIC"""
mac_addr = self.parameter_value('mac_address', kwargs)
if mac_addr:
... | the_stack_v2_python_sparse | apiary/api/nics.py | gmr/apiary | train | 0 |
2d2e7d354b77bc8a70f985e56aca6ca31f096873 | [
"super(MyCriterion, self).__init__()\nself.m = m\nself.t = t",
"distances = distances.reshape(-1)\nlabels1 = labels1.reshape(-1)\nlabels2 = labels2.reshape(-1)\nsize = distances.shape[0]\ny = torch.eq(labels1, labels2).long()\na = distances.clamp_min(self.t)\nb = (-distances + self.m).clamp_min(0)\nloss = y * a +... | <|body_start_0|>
super(MyCriterion, self).__init__()
self.m = m
self.t = t
<|end_body_0|>
<|body_start_1|>
distances = distances.reshape(-1)
labels1 = labels1.reshape(-1)
labels2 = labels2.reshape(-1)
size = distances.shape[0]
y = torch.eq(labels1, labels... | MyCriterion | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyCriterion:
def __init__(self, m=0.8, t=0.05):
""":param m: margin :param t: threshold"""
<|body_0|>
def forward(self, distances, labels1, labels2):
"""Loss = y * max(d, t) + (1 - y) * max(0, m - d) y = 1 if same labels; y = 0 if different labels :param distances: s... | stack_v2_sparse_classes_75kplus_train_072022 | 4,642 | no_license | [
{
"docstring": ":param m: margin :param t: threshold",
"name": "__init__",
"signature": "def __init__(self, m=0.8, t=0.05)"
},
{
"docstring": "Loss = y * max(d, t) + (1 - y) * max(0, m - d) y = 1 if same labels; y = 0 if different labels :param distances: shape: [b] :param labels1: shape: [b * 1... | 2 | stack_v2_sparse_classes_30k_train_015431 | Implement the Python class `MyCriterion` described below.
Class description:
Implement the MyCriterion class.
Method signatures and docstrings:
- def __init__(self, m=0.8, t=0.05): :param m: margin :param t: threshold
- def forward(self, distances, labels1, labels2): Loss = y * max(d, t) + (1 - y) * max(0, m - d) y =... | Implement the Python class `MyCriterion` described below.
Class description:
Implement the MyCriterion class.
Method signatures and docstrings:
- def __init__(self, m=0.8, t=0.05): :param m: margin :param t: threshold
- def forward(self, distances, labels1, labels2): Loss = y * max(d, t) + (1 - y) * max(0, m - d) y =... | 5bc05bb4c4fac9165a9f3edbad1cbfd836cbbb21 | <|skeleton|>
class MyCriterion:
def __init__(self, m=0.8, t=0.05):
""":param m: margin :param t: threshold"""
<|body_0|>
def forward(self, distances, labels1, labels2):
"""Loss = y * max(d, t) + (1 - y) * max(0, m - d) y = 1 if same labels; y = 0 if different labels :param distances: s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyCriterion:
def __init__(self, m=0.8, t=0.05):
""":param m: margin :param t: threshold"""
super(MyCriterion, self).__init__()
self.m = m
self.t = t
def forward(self, distances, labels1, labels2):
"""Loss = y * max(d, t) + (1 - y) * max(0, m - d) y = 1 if same labe... | the_stack_v2_python_sparse | metric.py | Jasolicon/Maha_Siamese_FSN | train | 0 | |
c96189ebfce94d6fc0409fb3207e1527e83bbc29 | [
"self.__trie = np.zeros([200000, 26], dtype=np.int)\nself.__end = np.zeros(200000, dtype=np.int)\nself.__k = 1",
"p = 0\nfor w in word:\n c = ord(w) - 97\n if not self.__trie[p][c]:\n self.__trie[p][c] = self.__k\n self.__k += 1\n p = self.__trie[p][c]\nself.__end[p] = 1",
"p = 0\nfor w i... | <|body_start_0|>
self.__trie = np.zeros([200000, 26], dtype=np.int)
self.__end = np.zeros(200000, dtype=np.int)
self.__k = 1
<|end_body_0|>
<|body_start_1|>
p = 0
for w in word:
c = ord(w) - 97
if not self.__trie[p][c]:
self.__trie[p][c] =... | Trie | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: None"""
<|body_1|>
def search(self, word):
"""Returns if the word is in the trie. :ty... | stack_v2_sparse_classes_75kplus_train_072023 | 1,603 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a word into the trie. :type word: str :rtype: None",
"name": "insert",
"signature": "def insert(self, word)"
},
{
"docstring": "Returns if the w... | 4 | null | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word): Inserts a word into the trie. :type word: str :rtype: None
- def search(self, word): Returns if the wor... | Implement the Python class `Trie` described below.
Class description:
Implement the Trie class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, word): Inserts a word into the trie. :type word: str :rtype: None
- def search(self, word): Returns if the wor... | 3bf3209791b902ec9086e230a3e3316aaced4a5f | <|skeleton|>
class Trie:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: None"""
<|body_1|>
def search(self, word):
"""Returns if the word is in the trie. :ty... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Trie:
def __init__(self):
"""Initialize your data structure here."""
self.__trie = np.zeros([200000, 26], dtype=np.int)
self.__end = np.zeros(200000, dtype=np.int)
self.__k = 1
def insert(self, word):
"""Inserts a word into the trie. :type word: str :rtype: None"""... | the_stack_v2_python_sparse | LeetCode/208.py | yaoMYZ/LeetCode | train | 0 | |
1d398b6aad9a1c4400e3bc8d302806ad821363bf | [
"QtGui.QFrame.__init__(self, args[0])\nself.setObjectName(args[1])\nself.orientation = kwargs.get('orientation', 'horizontal')\nself.execution_mode = kwargs.get('executionMode', False)\nself.setFixedSize(-1)\nif self.orientation == 'horizontal':\n self.main_layout = QtGui.QHBoxLayout()\nelse:\n self.main_layo... | <|body_start_0|>
QtGui.QFrame.__init__(self, args[0])
self.setObjectName(args[1])
self.orientation = kwargs.get('orientation', 'horizontal')
self.execution_mode = kwargs.get('executionMode', False)
self.setFixedSize(-1)
if self.orientation == 'horizontal':
sel... | Descript. : | Spacer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Spacer:
"""Descript. :"""
def __init__(self, *args, **kwargs):
"""Descript. :"""
<|body_0|>
def setFixedSize(self, fixed_size):
"""Descript. :"""
<|body_1|>
def paintEvent(self, event):
"""Descript. :"""
<|body_2|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_072024 | 46,303 | no_license | [
{
"docstring": "Descript. :",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Descript. :",
"name": "setFixedSize",
"signature": "def setFixedSize(self, fixed_size)"
},
{
"docstring": "Descript. :",
"name": "paintEvent",
"signatur... | 3 | stack_v2_sparse_classes_30k_train_013751 | Implement the Python class `Spacer` described below.
Class description:
Descript. :
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Descript. :
- def setFixedSize(self, fixed_size): Descript. :
- def paintEvent(self, event): Descript. : | Implement the Python class `Spacer` described below.
Class description:
Descript. :
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Descript. :
- def setFixedSize(self, fixed_size): Descript. :
- def paintEvent(self, event): Descript. :
<|skeleton|>
class Spacer:
"""Descript. :"""
d... | 11486d6c91fc0077e967cb2321743466a7c1aa8b | <|skeleton|>
class Spacer:
"""Descript. :"""
def __init__(self, *args, **kwargs):
"""Descript. :"""
<|body_0|>
def setFixedSize(self, fixed_size):
"""Descript. :"""
<|body_1|>
def paintEvent(self, event):
"""Descript. :"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Spacer:
"""Descript. :"""
def __init__(self, *args, **kwargs):
"""Descript. :"""
QtGui.QFrame.__init__(self, args[0])
self.setObjectName(args[1])
self.orientation = kwargs.get('orientation', 'horizontal')
self.execution_mode = kwargs.get('executionMode', False)
... | the_stack_v2_python_sparse | Utils/Qt4_GUIDisplay.py | douglasbeniz/BlissFramework | train | 0 |
857984cd57a0a5d74f78c58258a87f1d0446673d | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | TeacherOutServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeacherOutServicer:
"""Missing associated documentation comment in .proto file."""
def CreateTeacher(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def ReadTeacher(self, request, context):
"""Missing associated ... | stack_v2_sparse_classes_75kplus_train_072025 | 9,337 | no_license | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "CreateTeacher",
"signature": "def CreateTeacher(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "ReadTeacher",
"signature": "def ReadTeacher(... | 5 | stack_v2_sparse_classes_30k_val_000132 | Implement the Python class `TeacherOutServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def CreateTeacher(self, request, context): Missing associated documentation comment in .proto file.
- def ReadTeacher(self, request, context)... | Implement the Python class `TeacherOutServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def CreateTeacher(self, request, context): Missing associated documentation comment in .proto file.
- def ReadTeacher(self, request, context)... | de7bc0fa1dc299473e2e63dab58c1d49fde7df2f | <|skeleton|>
class TeacherOutServicer:
"""Missing associated documentation comment in .proto file."""
def CreateTeacher(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def ReadTeacher(self, request, context):
"""Missing associated ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TeacherOutServicer:
"""Missing associated documentation comment in .proto file."""
def CreateTeacher(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!... | the_stack_v2_python_sparse | gateway/src/logic/protogen/outgoing/teacher_out_pb2_grpc.py | Mutestock/mini-project-loner-edition | train | 0 |
fd2a58323f79b60005c9c24dec367e247843cdac | [
"if not isinstance(data, np.ndarray):\n data = np.array(data)\nif len(data.shape) == 1:\n data = data.reshape(-1, 1)\nself.data = data\nself.N, self.d = self.data.shape",
"if not isinstance(new_data, np.ndarray):\n new_data = np.array(new_data)\nif len(new_data.shape) == 1:\n new_data = new_data.resha... | <|body_start_0|>
if not isinstance(data, np.ndarray):
data = np.array(data)
if len(data.shape) == 1:
data = data.reshape(-1, 1)
self.data = data
self.N, self.d = self.data.shape
<|end_body_0|>
<|body_start_1|>
if not isinstance(new_data, np.ndarray):
... | This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data array. Methods ------- kernel_matrix(new_data) Evaluates the histogram intersection kernel... | HistogramIntersection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HistogramIntersection:
"""This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data array. Methods ------- kernel_matrix(new_... | stack_v2_sparse_classes_75kplus_train_072026 | 3,589 | no_license | [
{
"docstring": "Parameters ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated.",
"name": "__init__",
"signature": "def __init__(self, data)"
},
{
"docstring": "Evaluates the histogram intersection kernel function at new_data. Each entry ... | 3 | stack_v2_sparse_classes_30k_train_017978 | Implement the Python class `HistogramIntersection` described below.
Class description:
This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data ar... | Implement the Python class `HistogramIntersection` described below.
Class description:
This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data ar... | 33193676029a9be8ca67a1272960f2111ea7d2e4 | <|skeleton|>
class HistogramIntersection:
"""This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data array. Methods ------- kernel_matrix(new_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HistogramIntersection:
"""This is a class of evaluating the histogram intersection kernel function. Attributes ---------- data : numpy.ndarray The array at which the histogram intersection kernel function is to evaluated. N, d : int, int The shape of data array. Methods ------- kernel_matrix(new_data) Evaluat... | the_stack_v2_python_sparse | histointersection.py | zhou-chenxi/kerneleval | train | 0 |
86a23761fe225c0ed5b4ff994425ba711939678e | [
"self.name = 'ext_regularize_post_grad'\nself.weight_norm = weight_norm\nself.param_name = tolist(param_name)\nself.is_vector = is_vector",
"for k, p in mainloop.updates.items():\n for pname in self.param_name:\n if pname in str(k):\n updated_W = mainloop.updates[k]\n if self.is_ve... | <|body_start_0|>
self.name = 'ext_regularize_post_grad'
self.weight_norm = weight_norm
self.param_name = tolist(param_name)
self.is_vector = is_vector
<|end_body_0|>
<|body_start_1|>
for k, p in mainloop.updates.items():
for pname in self.param_name:
... | WeightNorm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WeightNorm:
def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W']):
""".. todo:: WRITEME"""
<|body_0|>
def exe(self, mainloop):
""".. todo:: WRITEME"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.name = 'ext_regularize_post_grad... | stack_v2_sparse_classes_75kplus_train_072027 | 8,905 | no_license | [
{
"docstring": ".. todo:: WRITEME",
"name": "__init__",
"signature": "def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W'])"
},
{
"docstring": ".. todo:: WRITEME",
"name": "exe",
"signature": "def exe(self, mainloop)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035386 | Implement the Python class `WeightNorm` described below.
Class description:
Implement the WeightNorm class.
Method signatures and docstrings:
- def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W']): .. todo:: WRITEME
- def exe(self, mainloop): .. todo:: WRITEME | Implement the Python class `WeightNorm` described below.
Class description:
Implement the WeightNorm class.
Method signatures and docstrings:
- def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W']): .. todo:: WRITEME
- def exe(self, mainloop): .. todo:: WRITEME
<|skeleton|>
class WeightNorm:
def... | 94fe4208f6450d603d37e5a376dc85d988c9f639 | <|skeleton|>
class WeightNorm:
def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W']):
""".. todo:: WRITEME"""
<|body_0|>
def exe(self, mainloop):
""".. todo:: WRITEME"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WeightNorm:
def __init__(self, is_vector=1, weight_norm=1.9365, param_name=['W']):
""".. todo:: WRITEME"""
self.name = 'ext_regularize_post_grad'
self.weight_norm = weight_norm
self.param_name = tolist(param_name)
self.is_vector = is_vector
def exe(self, mainloop):... | the_stack_v2_python_sparse | cle/train/ext.py | kyunghyuncho/cle | train | 1 | |
12a0ddf1864c113bcc0eb160dc1a3e901977faba | [
"super().__init__(name=name)\nself.activation = activation\nself.normalize_final = normalize_final\nlayers = []\nfor index, output_size in enumerate(output_sizes):\n layers.append(hk.Linear(output_size=output_size, name='linear_%d' % index))\nself.layers = tuple(layers)",
"num_layers = len(self.layers)\nout = ... | <|body_start_0|>
super().__init__(name=name)
self.activation = activation
self.normalize_final = normalize_final
layers = []
for index, output_size in enumerate(output_sizes):
layers.append(hk.Linear(output_size=output_size, name='linear_%d' % index))
self.lay... | A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp. | MlpWithActivations | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MlpWithActivations:
"""A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp."""
def __init__(self, output_sizes: Iterable[int], activation: Callable[[jnp.ndarray], jnp.ndarray]=jax.nn.relu, normalize_final: int=Normalization.during_training, name: Optional[str]=None):
... | stack_v2_sparse_classes_75kplus_train_072028 | 9,442 | permissive | [
{
"docstring": "Constructs an MLP where the last layer activation is available. Args: output_sizes: Sequence of layer sizes. activation: Activation function to apply between :class:`~haiku.Linear` layers. Defaults to ReLU. normalize_final: How to normalize the activations of the penultimate layer. name: Optiona... | 2 | null | Implement the Python class `MlpWithActivations` described below.
Class description:
A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp.
Method signatures and docstrings:
- def __init__(self, output_sizes: Iterable[int], activation: Callable[[jnp.ndarray], jnp.ndarray]=jax.nn.relu, normalize_final: i... | Implement the Python class `MlpWithActivations` described below.
Class description:
A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp.
Method signatures and docstrings:
- def __init__(self, output_sizes: Iterable[int], activation: Callable[[jnp.ndarray], jnp.ndarray]=jax.nn.relu, normalize_final: i... | cc2e3de49c29f29852c8cd5885ab54fb6e664e2e | <|skeleton|>
class MlpWithActivations:
"""A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp."""
def __init__(self, output_sizes: Iterable[int], activation: Callable[[jnp.ndarray], jnp.ndarray]=jax.nn.relu, normalize_final: int=Normalization.during_training, name: Optional[str]=None):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MlpWithActivations:
"""A multi-layer perceptron module. Mostly copy-pasted from hk.nets.Mlp."""
def __init__(self, output_sizes: Iterable[int], activation: Callable[[jnp.ndarray], jnp.ndarray]=jax.nn.relu, normalize_final: int=Normalization.during_training, name: Optional[str]=None):
"""Construct... | the_stack_v2_python_sparse | neural_testbed/agents/factories/deep_kernel.py | Aakanksha-Rana/neural_testbed | train | 0 |
c44bbb1f7d75577a6f97aab7bd339f626d5445b5 | [
"pygame.init()\npygame.joystick.init()\nself.controller = pygame.joystick.Joystick(0)\nself.controller.init()\nself.ps4_speed = 0",
"if not self.axis_data:\n self.axis_data = {}\nif not self.button_data:\n self.button_data = {}\n for i in range(self.controller.get_numbuttons()):\n self.button_data... | <|body_start_0|>
pygame.init()
pygame.joystick.init()
self.controller = pygame.joystick.Joystick(0)
self.controller.init()
self.ps4_speed = 0
<|end_body_0|>
<|body_start_1|>
if not self.axis_data:
self.axis_data = {}
if not self.button_data:
... | Class representing the PS4 controller. Pretty straightforward functionality. | PS4Controller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PS4Controller:
"""Class representing the PS4 controller. Pretty straightforward functionality."""
def __init__(self):
"""Initialize the joystick components"""
<|body_0|>
def listen(self):
"""Listen for events to happen"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_75kplus_train_072029 | 1,800 | no_license | [
{
"docstring": "Initialize the joystick components",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Listen for events to happen",
"name": "listen",
"signature": "def listen(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013235 | Implement the Python class `PS4Controller` described below.
Class description:
Class representing the PS4 controller. Pretty straightforward functionality.
Method signatures and docstrings:
- def __init__(self): Initialize the joystick components
- def listen(self): Listen for events to happen | Implement the Python class `PS4Controller` described below.
Class description:
Class representing the PS4 controller. Pretty straightforward functionality.
Method signatures and docstrings:
- def __init__(self): Initialize the joystick components
- def listen(self): Listen for events to happen
<|skeleton|>
class PS4... | 3b692da60226340e3e1337c9216b60acd9540250 | <|skeleton|>
class PS4Controller:
"""Class representing the PS4 controller. Pretty straightforward functionality."""
def __init__(self):
"""Initialize the joystick components"""
<|body_0|>
def listen(self):
"""Listen for events to happen"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PS4Controller:
"""Class representing the PS4 controller. Pretty straightforward functionality."""
def __init__(self):
"""Initialize the joystick components"""
pygame.init()
pygame.joystick.init()
self.controller = pygame.joystick.Joystick(0)
self.controller.init()
... | the_stack_v2_python_sparse | COPY/ps4_test.py | MitchVeenendaal/smarterdam | train | 0 |
f8c77f184a20988fcb965264a7e9b5d44220bd56 | [
"super().__init__(coordinator)\nself.entity_description = sensor_description\ndevice_name = data.name.title()\nself._attr_unique_id = f'{unique_id}_{sensor_description.key}'\nself._attr_device_info = DeviceInfo(identifiers={(DOMAIN, unique_id)}, name=device_name)\nself._attr_device_info.update(_get_nut_device_info(... | <|body_start_0|>
super().__init__(coordinator)
self.entity_description = sensor_description
device_name = data.name.title()
self._attr_unique_id = f'{unique_id}_{sensor_description.key}'
self._attr_device_info = DeviceInfo(identifiers={(DOMAIN, unique_id)}, name=device_name)
... | Representation of a sensor entity for NUT status values. | NUTSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_75kplus_train_072030 | 29,032 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None"
},
{
"docstring": "Return entity state from ups.",
"name": ... | 2 | stack_v2_sparse_classes_30k_val_000400 | Implement the Python class `NUTSensor` described below.
Class description:
Representation of a sensor entity for NUT status values.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -... | Implement the Python class `NUTSensor` described below.
Class description:
Representation of a sensor entity for NUT status values.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
<|body_0|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NUTSensor:
"""Representation of a sensor entity for NUT status values."""
def __init__(self, coordinator: DataUpdateCoordinator[dict[str, str]], sensor_description: SensorEntityDescription, data: PyNUTData, unique_id: str) -> None:
"""Initialize the sensor."""
super().__init__(coordinator... | the_stack_v2_python_sparse | homeassistant/components/nut/sensor.py | home-assistant/core | train | 35,501 |
e23c611eef6184227698000f33da0114c9df3191 | [
"try:\n\n def generate(vo):\n for subscription in list_subscriptions(name=name, account=account, vo=vo):\n yield (render_json(**subscription) + '\\n')\n return try_stream(generate(vo=request.environ.get('vo')))\nexcept SubscriptionNotFound as error:\n return generate_http_error_flask(404,... | <|body_start_0|>
try:
def generate(vo):
for subscription in list_subscriptions(name=name, account=account, vo=vo):
yield (render_json(**subscription) + '\n')
return try_stream(generate(vo=request.environ.get('vo')))
except SubscriptionNotFound... | REST APIs for subscriptions. | Subscription | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - na... | stack_v2_sparse_classes_75kplus_train_072031 | 24,180 | permissive | [
{
"docstring": "--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - name: name in: path description: The subscription name. schema: type: string style: simple responses: 200:... | 3 | stack_v2_sparse_classes_30k_train_039467 | Implement the Python class `Subscription` described below.
Class description:
REST APIs for subscriptions.
Method signatures and docstrings:
- def get(self, account=None, name=None): --- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: ... | Implement the Python class `Subscription` described below.
Class description:
REST APIs for subscriptions.
Method signatures and docstrings:
- def get(self, account=None, name=None): --- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: ... | 7f0d229ac0b3bc7dec12c6e158bea2b82d414a3b | <|skeleton|>
class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - na... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Subscription:
"""REST APIs for subscriptions."""
def get(self, account=None, name=None):
"""--- summary: Get Subscription description: Retrieve a subscription. tags: - Replicas parameters: - name: account in: path description: The account name. schema: type: string style: simple - name: name in: ... | the_stack_v2_python_sparse | lib/rucio/web/rest/flaskapi/v1/subscriptions.py | rucio/rucio | train | 232 |
2b5ae912190d192c9800f906ef4ce1e338138b5b | [
"if value is self.field.missing_value:\n return []\nwidget = self.widget\nif widget.terms is None:\n widget.updateTerms()\nvalues = []\nfor entry in value:\n try:\n values.append(widget.terms.getTerm(entry).token)\n except LookupError:\n pass\nreturn values",
"widget = self.widget\nif wi... | <|body_start_0|>
if value is self.field.missing_value:
return []
widget = self.widget
if widget.terms is None:
widget.updateTerms()
values = []
for entry in value:
try:
values.append(widget.terms.getTerm(entry).token)
... | A special converter between collections and sequence widgets. | CollectionSequenceDataConverter | [
"ZPL-2.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollectionSequenceDataConverter:
"""A special converter between collections and sequence widgets."""
def toWidgetValue(self, value):
"""Convert from Python bool to HTML representation."""
<|body_0|>
def toFieldValue(self, value):
"""See interfaces.IDataConverter"... | stack_v2_sparse_classes_75kplus_train_072032 | 15,934 | permissive | [
{
"docstring": "Convert from Python bool to HTML representation.",
"name": "toWidgetValue",
"signature": "def toWidgetValue(self, value)"
},
{
"docstring": "See interfaces.IDataConverter",
"name": "toFieldValue",
"signature": "def toFieldValue(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001219 | Implement the Python class `CollectionSequenceDataConverter` described below.
Class description:
A special converter between collections and sequence widgets.
Method signatures and docstrings:
- def toWidgetValue(self, value): Convert from Python bool to HTML representation.
- def toFieldValue(self, value): See inter... | Implement the Python class `CollectionSequenceDataConverter` described below.
Class description:
A special converter between collections and sequence widgets.
Method signatures and docstrings:
- def toWidgetValue(self, value): Convert from Python bool to HTML representation.
- def toFieldValue(self, value): See inter... | aa47e9b109ad2d7de600fc1d4ea7359d8144f356 | <|skeleton|>
class CollectionSequenceDataConverter:
"""A special converter between collections and sequence widgets."""
def toWidgetValue(self, value):
"""Convert from Python bool to HTML representation."""
<|body_0|>
def toFieldValue(self, value):
"""See interfaces.IDataConverter"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CollectionSequenceDataConverter:
"""A special converter between collections and sequence widgets."""
def toWidgetValue(self, value):
"""Convert from Python bool to HTML representation."""
if value is self.field.missing_value:
return []
widget = self.widget
if w... | the_stack_v2_python_sparse | src/z3c/form/converter.py | zopefoundation/z3c.form | train | 6 |
3743d81693706e1fe6b1c34ebaaea9dde08d6fa8 | [
"if pat == None:\n pat = 'S\\\\d{2}E\\\\d{2}'\nfor old_name in os.listdir(path):\n mid = re.findall(pat, old_name)[0]\n end = old_name.split('.')[-1]\n new_name = head + '-' + mid + '.' + end\n os.rename(path + old_name, path + new_name)\nprint('NumPat: {};\\nPath: {};'.format(pat, path))",
"with o... | <|body_start_0|>
if pat == None:
pat = 'S\\d{2}E\\d{2}'
for old_name in os.listdir(path):
mid = re.findall(pat, old_name)[0]
end = old_name.split('.')[-1]
new_name = head + '-' + mid + '.' + end
os.rename(path + old_name, path + new_name)
... | 整理文件名(字幕/视频);整理文件内容(字幕) | TvShow | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
<|body_0|>
def to_tidy_txt(self, file):
"""去掉字幕文件的冗余信息"""
<|body_1|>
def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'):
... | stack_v2_sparse_classes_75kplus_train_072033 | 48,309 | no_license | [
{
"docstring": "文件名批量命名",
"name": "renames",
"signature": "def renames(self, path, head, pat=None)"
},
{
"docstring": "去掉字幕文件的冗余信息",
"name": "to_tidy_txt",
"signature": "def to_tidy_txt(self, file)"
},
{
"docstring": "将一个视频转化为音频",
"name": "to_audio_from_video",
"signature... | 3 | stack_v2_sparse_classes_30k_train_026934 | Implement the Python class `TvShow` described below.
Class description:
整理文件名(字幕/视频);整理文件内容(字幕)
Method signatures and docstrings:
- def renames(self, path, head, pat=None): 文件名批量命名
- def to_tidy_txt(self, file): 去掉字幕文件的冗余信息
- def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'): 将一个视... | Implement the Python class `TvShow` described below.
Class description:
整理文件名(字幕/视频);整理文件内容(字幕)
Method signatures and docstrings:
- def renames(self, path, head, pat=None): 文件名批量命名
- def to_tidy_txt(self, file): 去掉字幕文件的冗余信息
- def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'): 将一个视... | b6f6897721adc616d31059f703a494bba0834b74 | <|skeleton|>
class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
<|body_0|>
def to_tidy_txt(self, file):
"""去掉字幕文件的冗余信息"""
<|body_1|>
def to_audio_from_video(self, video_path='F:\\Miranda\\-S01E04.mp4', audio_ext='.mp3'):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TvShow:
"""整理文件名(字幕/视频);整理文件内容(字幕)"""
def renames(self, path, head, pat=None):
"""文件名批量命名"""
if pat == None:
pat = 'S\\d{2}E\\d{2}'
for old_name in os.listdir(path):
mid = re.findall(pat, old_name)[0]
end = old_name.split('.')[-1]
ne... | the_stack_v2_python_sparse | code-drop/english.2020_5_8.py | y2sinx/dyslexia | train | 0 |
43a31e87b594998ade7e47ed46988efbcc7e0c2c | [
"if value is not None:\n return base36.loads(value)\nreturn value",
"if value is None:\n return value\nreturn base36.dumps(value)",
"if not value:\n return value\nreturn base36.dumps(value)"
] | <|body_start_0|>
if value is not None:
return base36.loads(value)
return value
<|end_body_0|>
<|body_start_1|>
if value is None:
return value
return base36.dumps(value)
<|end_body_1|>
<|body_start_2|>
if not value:
return value
return... | Handles a Reddit base36 encoded string id which is stored as a base10 integer | Base36IntegerField | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base36IntegerField:
"""Handles a Reddit base36 encoded string id which is stored as a base10 integer"""
def get_prep_value(self, value):
"""Converts from base36 to base10 for the DB"""
<|body_0|>
def from_db_value(self, value, expression, connection):
"""Converts... | stack_v2_sparse_classes_75kplus_train_072034 | 12,355 | permissive | [
{
"docstring": "Converts from base36 to base10 for the DB",
"name": "get_prep_value",
"signature": "def get_prep_value(self, value)"
},
{
"docstring": "Converts from base10 to base36 for application",
"name": "from_db_value",
"signature": "def from_db_value(self, value, expression, conne... | 3 | stack_v2_sparse_classes_30k_train_020070 | Implement the Python class `Base36IntegerField` described below.
Class description:
Handles a Reddit base36 encoded string id which is stored as a base10 integer
Method signatures and docstrings:
- def get_prep_value(self, value): Converts from base36 to base10 for the DB
- def from_db_value(self, value, expression, ... | Implement the Python class `Base36IntegerField` described below.
Class description:
Handles a Reddit base36 encoded string id which is stored as a base10 integer
Method signatures and docstrings:
- def get_prep_value(self, value): Converts from base36 to base10 for the DB
- def from_db_value(self, value, expression, ... | ba7442482da97d463302658c0aac989567ee1241 | <|skeleton|>
class Base36IntegerField:
"""Handles a Reddit base36 encoded string id which is stored as a base10 integer"""
def get_prep_value(self, value):
"""Converts from base36 to base10 for the DB"""
<|body_0|>
def from_db_value(self, value, expression, connection):
"""Converts... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Base36IntegerField:
"""Handles a Reddit base36 encoded string id which is stored as a base10 integer"""
def get_prep_value(self, value):
"""Converts from base36 to base10 for the DB"""
if value is not None:
return base36.loads(value)
return value
def from_db_value... | the_stack_v2_python_sparse | channels/models.py | mitodl/open-discussions | train | 13 |
9d52212325aa33fbb5bf27b8a52e40044c708227 | [
"user_name = data_utils.rand_name(name='user')\nuser_password = data_utils.rand_password()\ntenant = self.setup_test_tenant()\nuser = self.create_test_user(name=user_name, password=user_password, tenantId=tenant['id'], email='')\nbody = self.token_client.auth(user_name, user_password, tenant['name'])\nself.assertEq... | <|body_start_0|>
user_name = data_utils.rand_name(name='user')
user_password = data_utils.rand_password()
tenant = self.setup_test_tenant()
user = self.create_test_user(name=user_name, password=user_password, tenantId=tenant['id'], email='')
body = self.token_client.auth(user_nam... | Test keystone tokens via v2 API | TokensTestJSON | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TokensTestJSON:
"""Test keystone tokens via v2 API"""
def test_create_check_get_delete_token(self):
"""Test getting create/check/get/delete token for user via v2 API"""
<|body_0|>
def test_rescope_token(self):
"""Test an unscoped token can be requested via v2 API... | stack_v2_sparse_classes_75kplus_train_072035 | 6,002 | permissive | [
{
"docstring": "Test getting create/check/get/delete token for user via v2 API",
"name": "test_create_check_get_delete_token",
"signature": "def test_create_check_get_delete_token(self)"
},
{
"docstring": "Test an unscoped token can be requested via v2 API That token can be used to request a sco... | 3 | null | Implement the Python class `TokensTestJSON` described below.
Class description:
Test keystone tokens via v2 API
Method signatures and docstrings:
- def test_create_check_get_delete_token(self): Test getting create/check/get/delete token for user via v2 API
- def test_rescope_token(self): Test an unscoped token can be... | Implement the Python class `TokensTestJSON` described below.
Class description:
Test keystone tokens via v2 API
Method signatures and docstrings:
- def test_create_check_get_delete_token(self): Test getting create/check/get/delete token for user via v2 API
- def test_rescope_token(self): Test an unscoped token can be... | 3932a799e620a20d7abf7b89e21b520683a1809b | <|skeleton|>
class TokensTestJSON:
"""Test keystone tokens via v2 API"""
def test_create_check_get_delete_token(self):
"""Test getting create/check/get/delete token for user via v2 API"""
<|body_0|>
def test_rescope_token(self):
"""Test an unscoped token can be requested via v2 API... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TokensTestJSON:
"""Test keystone tokens via v2 API"""
def test_create_check_get_delete_token(self):
"""Test getting create/check/get/delete token for user via v2 API"""
user_name = data_utils.rand_name(name='user')
user_password = data_utils.rand_password()
tenant = self.s... | the_stack_v2_python_sparse | tempest/api/identity/admin/v2/test_tokens.py | openstack/tempest | train | 270 |
07565e7a7081f8856862b6478fe0dec958f4aed8 | [
"if isinstance(config, dict):\n config = LambdaConfig.parse_obj(config)\nconfig = cast(LambdaConfig, config)\nsuper().__init__(config)\nself.blocking_features = config.blocking_features\nself.mylambda = config.Lambda\nself.bf_len = config.bloom_filter_length\nself.num_hash_function = config.number_of_hash_functi... | <|body_start_0|>
if isinstance(config, dict):
config = LambdaConfig.parse_obj(config)
config = cast(LambdaConfig, config)
super().__init__(config)
self.blocking_features = config.blocking_features
self.mylambda = config.Lambda
self.bf_len = config.bloom_filter... | Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking method. | PPRLIndexLambdaFold | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PPRLIndexLambdaFold:
"""Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking method."""
def __init__(self, config:... | stack_v2_sparse_classes_75kplus_train_072036 | 3,639 | permissive | [
{
"docstring": "Initialize the class and set the required parameters. :param config: Configuration for P-Sig reverted index.",
"name": "__init__",
"signature": "def __init__(self, config: Union[LambdaConfig, Dict])"
},
{
"docstring": "Convert a record to list of bigrams and then map to a bloom f... | 3 | stack_v2_sparse_classes_30k_train_033126 | Implement the Python class `PPRLIndexLambdaFold` described below.
Class description:
Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking met... | Implement the Python class `PPRLIndexLambdaFold` described below.
Class description:
Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking met... | edfd26fbef398b48f464f68453b815ea442a5cdd | <|skeleton|>
class PPRLIndexLambdaFold:
"""Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking method."""
def __init__(self, config:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PPRLIndexLambdaFold:
"""Class that implements the PPRL indexing technique: An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. This class includes an implementation of Lambda-fold redundant blocking method."""
def __init__(self, config: Union[Lambda... | the_stack_v2_python_sparse | blocklib/pprllambdafold.py | data61/blocklib | train | 21 |
53992927fe6eb73804e80aa779ebd4fdb6d75074 | [
"r = Buda.get_orderbook(market)\nlast_orders = []\nif r is not None:\n for elem in r['order_book'][ordertype][0:n]:\n last_orders.append({'price': elem[0], 'amount': elem[1]})\nreturn last_orders",
"if re.match('^\\\\w{6}\\\\Z', market):\n market = market[0:3] + '-' + market[3:]\nurl = 'https://www.b... | <|body_start_0|>
r = Buda.get_orderbook(market)
last_orders = []
if r is not None:
for elem in r['order_book'][ordertype][0:n]:
last_orders.append({'price': elem[0], 'amount': elem[1]})
return last_orders
<|end_body_0|>
<|body_start_1|>
if re.match('^... | Buda | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Buda:
def get_n_last_orders(ordertype, market, n):
""":param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '400.1'},...]"""
<|body_0|>
def get_orderbook(market):
"""returns the ord... | stack_v2_sparse_classes_75kplus_train_072037 | 2,245 | no_license | [
{
"docstring": ":param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '400.1'},...]",
"name": "get_n_last_orders",
"signature": "def get_n_last_orders(ordertype, market, n)"
},
{
"docstring": "returns the order... | 3 | null | Implement the Python class `Buda` described below.
Class description:
Implement the Buda class.
Method signatures and docstrings:
- def get_n_last_orders(ordertype, market, n): :param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '... | Implement the Python class `Buda` described below.
Class description:
Implement the Buda class.
Method signatures and docstrings:
- def get_n_last_orders(ordertype, market, n): :param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '... | c7d6a9bc550e05c84260ef5b9a2b74d91124bf3b | <|skeleton|>
class Buda:
def get_n_last_orders(ordertype, market, n):
""":param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '400.1'},...]"""
<|body_0|>
def get_orderbook(market):
"""returns the ord... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Buda:
def get_n_last_orders(ordertype, market, n):
""":param ordertype: <str> 'bids' or 'asks' :param market: <str> e.g. 'etheur' or 'eth-eur' :return: <list> e.g. [{'amount': '0.067', 'price': '400.1'},...]"""
r = Buda.get_orderbook(market)
last_orders = []
if r is not None:
... | the_stack_v2_python_sparse | pyarboto/buda.py | chainimpact/arboto | train | 0 | |
39a28c3ba2951ce701802a4fd2c8d0f43ec6cc15 | [
"if adjacent_route_func is None:\n adjacent_route_func = adjacent_route_tail\nif merge_func is None:\n merge_func = merge_tail\nself.warehouse = warehouse\nself.adjacent_route = adjacent_route_func\nself.merge = merge_func",
"savings = pairs_of_savings(self.warehouse, matrix)\nsavings.sort_values(by='saving... | <|body_start_0|>
if adjacent_route_func is None:
adjacent_route_func = adjacent_route_tail
if merge_func is None:
merge_func = merge_tail
self.warehouse = warehouse
self.adjacent_route = adjacent_route_func
self.merge = merge_func
<|end_body_0|>
<|body_st... | SequentialClarkeWright | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SequentialClarkeWright:
def __init__(self, warehouse, adjacent_route_func=None, merge_func=None):
"""Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12(4), pp. 568–581 An... | stack_v2_sparse_classes_75kplus_train_072038 | 15,158 | permissive | [
{
"docstring": "Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12(4), pp. 568–581 Another useful paper by Graham Rand: Life and times of the savings method... https://www.ajol.info/index.php/or... | 3 | null | Implement the Python class `SequentialClarkeWright` described below.
Class description:
Implement the SequentialClarkeWright class.
Method signatures and docstrings:
- def __init__(self, warehouse, adjacent_route_func=None, merge_func=None): Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Schedul... | Implement the Python class `SequentialClarkeWright` described below.
Class description:
Implement the SequentialClarkeWright class.
Method signatures and docstrings:
- def __init__(self, warehouse, adjacent_route_func=None, merge_func=None): Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Schedul... | 62c6842fc14acee07aee12ac2f238cbd1c3881d6 | <|skeleton|>
class SequentialClarkeWright:
def __init__(self, warehouse, adjacent_route_func=None, merge_func=None):
"""Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12(4), pp. 568–581 An... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SequentialClarkeWright:
def __init__(self, warehouse, adjacent_route_func=None, merge_func=None):
"""Sequential Clarke Wright Savings Method. Clarke G & Wright JW, 1964, Scheduling of vehicles from a central depot to a number of delivery points, Operations Research, 12(4), pp. 568–581 Another useful p... | the_stack_v2_python_sparse | vrp/constructive.py | MichaelAllen1966/2004_covid_dialysis | train | 0 | |
aaf5a36c22382fc73520a02bdf40a8aac91c9bef | [
"distributions = []\ndenominator = 0\nfor i in range(2, n + 1):\n denominator += 1 / (i * (i - 1)) - a / 2\nnumerator = 0\nfor i in range(2, n + 1):\n numerator += 1 / (i * (i - 1)) - a / 2\n distributions.append((i, numerator / denominator))\nreturn distributions",
"distribution_list = Distribution.crea... | <|body_start_0|>
distributions = []
denominator = 0
for i in range(2, n + 1):
denominator += 1 / (i * (i - 1)) - a / 2
numerator = 0
for i in range(2, n + 1):
numerator += 1 / (i * (i - 1)) - a / 2
distributions.append((i, numerator / denominat... | Distribution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Distribution:
def create_aloha_style_distribution(a, n):
"""Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. n: The size of maximum hashes as a subset of M Returns: list[int]: A list of weights whose sum is 1."... | stack_v2_sparse_classes_75kplus_train_072039 | 12,172 | no_license | [
{
"docstring": "Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. n: The size of maximum hashes as a subset of M Returns: list[int]: A list of weights whose sum is 1.",
"name": "create_aloha_style_distribution",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_049840 | Implement the Python class `Distribution` described below.
Class description:
Implement the Distribution class.
Method signatures and docstrings:
- def create_aloha_style_distribution(a, n): Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. ... | Implement the Python class `Distribution` described below.
Class description:
Implement the Distribution class.
Method signatures and docstrings:
- def create_aloha_style_distribution(a, n): Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. ... | 7e16341c7d64f3497e6296eef37883e151f6dbe6 | <|skeleton|>
class Distribution:
def create_aloha_style_distribution(a, n):
"""Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. n: The size of maximum hashes as a subset of M Returns: list[int]: A list of weights whose sum is 1."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Distribution:
def create_aloha_style_distribution(a, n):
"""Creates a probability distribution based off the ALOHA style research methods. Args: a: The weighting factor of the algorithm. n: The size of maximum hashes as a subset of M Returns: list[int]: A list of weights whose sum is 1."""
dis... | the_stack_v2_python_sparse | ALOHA_IBLT/aloha_iblt.py | hupsuni/BloomFilters | train | 0 | |
e12040f1c72cb019c7c0c271fd67dbf23254dea3 | [
"_query_builder = Configuration.get_base_uri()\n_query_builder += '/text/language-sets'\n_query_url = APIHelper.clean_url(_query_builder)\n_headers = {'accept': 'application/json', 'content-type': 'application/json; charset=utf-8'}\n_request = self.http_client.post(_query_url, headers=_headers, parameters=APIHelper... | <|body_start_0|>
_query_builder = Configuration.get_base_uri()
_query_builder += '/text/language-sets'
_query_url = APIHelper.clean_url(_query_builder)
_headers = {'accept': 'application/json', 'content-type': 'application/json; charset=utf-8'}
_request = self.http_client.post(_q... | A Controller to access Endpoints in the idfy_rest_client API. | LanguageSetsController | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LanguageSetsController:
"""A Controller to access Endpoints in the idfy_rest_client API."""
def create_language_set(self, new_language_set=None):
"""Does a POST request to /text/language-sets. Creates a new language set. Args: new_language_set (LanguageSetCreateDTO, optional): TODO: ... | stack_v2_sparse_classes_75kplus_train_072040 | 7,674 | permissive | [
{
"docstring": "Does a POST request to /text/language-sets. Creates a new language set. Args: new_language_set (LanguageSetCreateDTO, optional): TODO: type description here. Example: Returns: LanguageSetDTO: Response from the API. Success Raises: APIException: When an error occurs while fetching the data from t... | 5 | stack_v2_sparse_classes_30k_test_000431 | Implement the Python class `LanguageSetsController` described below.
Class description:
A Controller to access Endpoints in the idfy_rest_client API.
Method signatures and docstrings:
- def create_language_set(self, new_language_set=None): Does a POST request to /text/language-sets. Creates a new language set. Args: ... | Implement the Python class `LanguageSetsController` described below.
Class description:
A Controller to access Endpoints in the idfy_rest_client API.
Method signatures and docstrings:
- def create_language_set(self, new_language_set=None): Does a POST request to /text/language-sets. Creates a new language set. Args: ... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class LanguageSetsController:
"""A Controller to access Endpoints in the idfy_rest_client API."""
def create_language_set(self, new_language_set=None):
"""Does a POST request to /text/language-sets. Creates a new language set. Args: new_language_set (LanguageSetCreateDTO, optional): TODO: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LanguageSetsController:
"""A Controller to access Endpoints in the idfy_rest_client API."""
def create_language_set(self, new_language_set=None):
"""Does a POST request to /text/language-sets. Creates a new language set. Args: new_language_set (LanguageSetCreateDTO, optional): TODO: type descript... | the_stack_v2_python_sparse | idfy_rest_client/controllers/language_sets_controller.py | dealflowteam/Idfy | train | 0 |
385fdd792d113196087f866a21210f5a5f7a582d | [
"self.data_shape = data_shape\nself.discriminator = None\nself.generator = None\nself.adversarial = None\nself.define_gan()\nself.noise_maker = NoiseMaker(shape=self.data_shape, noise_type='s&p')\nself.performance_output_path = 'performance/siamese_dn_gan_' + str(datetime.now().date())",
"self.generator = build_g... | <|body_start_0|>
self.data_shape = data_shape
self.discriminator = None
self.generator = None
self.adversarial = None
self.define_gan()
self.noise_maker = NoiseMaker(shape=self.data_shape, noise_type='s&p')
self.performance_output_path = 'performance/siamese_dn_ga... | SiameseDenoiseGAN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SiameseDenoiseGAN:
def __init__(self, data_shape):
"""Initialize SiDN-GAN"""
<|body_0|>
def define_gan(self):
"""Build Models Generative model Discriminative model Adversarial model"""
<|body_1|>
def train(self, dataset, epochs=20, batch_size=64):
... | stack_v2_sparse_classes_75kplus_train_072041 | 8,319 | no_license | [
{
"docstring": "Initialize SiDN-GAN",
"name": "__init__",
"signature": "def __init__(self, data_shape)"
},
{
"docstring": "Build Models Generative model Discriminative model Adversarial model",
"name": "define_gan",
"signature": "def define_gan(self)"
},
{
"docstring": "Train mod... | 5 | null | Implement the Python class `SiameseDenoiseGAN` described below.
Class description:
Implement the SiameseDenoiseGAN class.
Method signatures and docstrings:
- def __init__(self, data_shape): Initialize SiDN-GAN
- def define_gan(self): Build Models Generative model Discriminative model Adversarial model
- def train(sel... | Implement the Python class `SiameseDenoiseGAN` described below.
Class description:
Implement the SiameseDenoiseGAN class.
Method signatures and docstrings:
- def __init__(self, data_shape): Initialize SiDN-GAN
- def define_gan(self): Build Models Generative model Discriminative model Adversarial model
- def train(sel... | b1d07d0ff6e3a2fa1a0dc6b2b77cb0f281121131 | <|skeleton|>
class SiameseDenoiseGAN:
def __init__(self, data_shape):
"""Initialize SiDN-GAN"""
<|body_0|>
def define_gan(self):
"""Build Models Generative model Discriminative model Adversarial model"""
<|body_1|>
def train(self, dataset, epochs=20, batch_size=64):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SiameseDenoiseGAN:
def __init__(self, data_shape):
"""Initialize SiDN-GAN"""
self.data_shape = data_shape
self.discriminator = None
self.generator = None
self.adversarial = None
self.define_gan()
self.noise_maker = NoiseMaker(shape=self.data_shape, noise... | the_stack_v2_python_sparse | siamese_dn_gan.py | sahinomer/NeuralNetworks-GAN | train | 0 | |
ffa73563cefefdeadd23fa784a4e0436bddc0d1e | [
"ftp_status = {'status': -1, 'message': ''}\ncmd = 'service vsftpd status |grep running'\ncode, result_MSG = commands.getstatusoutput(cmd)\nif code == 0:\n ftp_status['status'] = 1\nelse:\n ftp_status['status'] = 0\n ftp_status['message'] = result_MSG\nreturn Response(ftp_status, status=status.HTTP_200_OK)... | <|body_start_0|>
ftp_status = {'status': -1, 'message': ''}
cmd = 'service vsftpd status |grep running'
code, result_MSG = commands.getstatusoutput(cmd)
if code == 0:
ftp_status['status'] = 1
else:
ftp_status['status'] = 0
ftp_status['message']... | VsftpdStatus | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VsftpdStatus:
def get(self, request):
"""Query the state of the FTP."""
<|body_0|>
def put(self, request):
"""Modify the state of the FTP."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ftp_status = {'status': -1, 'message': ''}
cmd = 'serv... | stack_v2_sparse_classes_75kplus_train_072042 | 31,166 | no_license | [
{
"docstring": "Query the state of the FTP.",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "Modify the state of the FTP.",
"name": "put",
"signature": "def put(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015176 | Implement the Python class `VsftpdStatus` described below.
Class description:
Implement the VsftpdStatus class.
Method signatures and docstrings:
- def get(self, request): Query the state of the FTP.
- def put(self, request): Modify the state of the FTP. | Implement the Python class `VsftpdStatus` described below.
Class description:
Implement the VsftpdStatus class.
Method signatures and docstrings:
- def get(self, request): Query the state of the FTP.
- def put(self, request): Modify the state of the FTP.
<|skeleton|>
class VsftpdStatus:
def get(self, request):
... | 7f801a569a396a27371d0831752595877c224a6b | <|skeleton|>
class VsftpdStatus:
def get(self, request):
"""Query the state of the FTP."""
<|body_0|>
def put(self, request):
"""Modify the state of the FTP."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VsftpdStatus:
def get(self, request):
"""Query the state of the FTP."""
ftp_status = {'status': -1, 'message': ''}
cmd = 'service vsftpd status |grep running'
code, result_MSG = commands.getstatusoutput(cmd)
if code == 0:
ftp_status['status'] = 1
els... | the_stack_v2_python_sparse | Python_projects/flask_projects/unicorn_project/ftp/views.py | sdtimothy8/Coding | train | 0 | |
ec8c816392bf503aab623ed2e3234e7e0d20136e | [
"if 'scraped_items' not in spider.state:\n spider.state['scraped_items'] = []\nspider.state['scraped_items'].append(item)\nreturn item",
"source = get_or_create_source(spider)\ndb_items = source.rides.filter(is_expired=False)\nfor db_item in db_items:\n if spider.is_expired(db_item, spider.state['scraped_it... | <|body_start_0|>
if 'scraped_items' not in spider.state:
spider.state['scraped_items'] = []
spider.state['scraped_items'].append(item)
return item
<|end_body_0|>
<|body_start_1|>
source = get_or_create_source(spider)
db_items = source.rides.filter(is_expired=False)
... | CheckExpiredPipeline | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckExpiredPipeline:
def process_item(self, item, spider):
"""Save original ad url of each scraped item"""
<|body_0|>
def close_spider(self, spider):
"""Mark expired ads of particular ad source (spider)."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_072043 | 3,164 | no_license | [
{
"docstring": "Save original ad url of each scraped item",
"name": "process_item",
"signature": "def process_item(self, item, spider)"
},
{
"docstring": "Mark expired ads of particular ad source (spider).",
"name": "close_spider",
"signature": "def close_spider(self, spider)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006322 | Implement the Python class `CheckExpiredPipeline` described below.
Class description:
Implement the CheckExpiredPipeline class.
Method signatures and docstrings:
- def process_item(self, item, spider): Save original ad url of each scraped item
- def close_spider(self, spider): Mark expired ads of particular ad source... | Implement the Python class `CheckExpiredPipeline` described below.
Class description:
Implement the CheckExpiredPipeline class.
Method signatures and docstrings:
- def process_item(self, item, spider): Save original ad url of each scraped item
- def close_spider(self, spider): Mark expired ads of particular ad source... | 3d6c82e18ad51db5f8b58f1f258e0f64248fccc9 | <|skeleton|>
class CheckExpiredPipeline:
def process_item(self, item, spider):
"""Save original ad url of each scraped item"""
<|body_0|>
def close_spider(self, spider):
"""Mark expired ads of particular ad source (spider)."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CheckExpiredPipeline:
def process_item(self, item, spider):
"""Save original ad url of each scraped item"""
if 'scraped_items' not in spider.state:
spider.state['scraped_items'] = []
spider.state['scraped_items'].append(item)
return item
def close_spider(self, ... | the_stack_v2_python_sparse | carpool_news/ride_scraper/ride_scraper/pipelines.py | tomasra/carpool_news | train | 0 | |
fb2c453c65c2f841524a88762455289022a9871e | [
"if 'userid' in kwargs:\n self.userid = kwargs.pop('userid')\nsuper(UserCreateForm, self).__init__(*args, **kwargs)\nfor fieldname in ['username', 'email', 'password1', 'password2']:\n self.fields[fieldname].help_text = None\n self.fields[fieldname].error_messages = errors\n self.fields[fieldname].requi... | <|body_start_0|>
if 'userid' in kwargs:
self.userid = kwargs.pop('userid')
super(UserCreateForm, self).__init__(*args, **kwargs)
for fieldname in ['username', 'email', 'password1', 'password2']:
self.fields[fieldname].help_text = None
self.fields[fieldname].er... | User creation form class. Creates and handles form for creating new users | UserCreateForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserCreateForm:
"""User creation form class. Creates and handles form for creating new users"""
def __init__(self, *args, **kwargs):
"""Override init method of djangos build-in UserCreationForm to disable help texts and set custom labels :param args: args :param kwargs: kwargs"""
... | stack_v2_sparse_classes_75kplus_train_072044 | 7,625 | no_license | [
{
"docstring": "Override init method of djangos build-in UserCreationForm to disable help texts and set custom labels :param args: args :param kwargs: kwargs",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Override clean method to make custom validatio... | 4 | stack_v2_sparse_classes_30k_train_002587 | Implement the Python class `UserCreateForm` described below.
Class description:
User creation form class. Creates and handles form for creating new users
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Override init method of djangos build-in UserCreationForm to disable help texts and set cus... | Implement the Python class `UserCreateForm` described below.
Class description:
User creation form class. Creates and handles form for creating new users
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Override init method of djangos build-in UserCreationForm to disable help texts and set cus... | ad28229e8c066e8f825097d12d159b444e5b2ccd | <|skeleton|>
class UserCreateForm:
"""User creation form class. Creates and handles form for creating new users"""
def __init__(self, *args, **kwargs):
"""Override init method of djangos build-in UserCreationForm to disable help texts and set custom labels :param args: args :param kwargs: kwargs"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserCreateForm:
"""User creation form class. Creates and handles form for creating new users"""
def __init__(self, *args, **kwargs):
"""Override init method of djangos build-in UserCreationForm to disable help texts and set custom labels :param args: args :param kwargs: kwargs"""
if 'user... | the_stack_v2_python_sparse | main/forms.py | MrTrulsen/StudEval | train | 0 |
e3ede257f882ebdd7d2420fd4520c6f46e7371c7 | [
"data = dict()\ndata['north'] = game.north\ndata['east'] = game.east\ndata['south'] = game.south\ndata['west'] = game.west\ndata['northUrl'] = game.north_url\ndata['eastUrl'] = game.east_url\ndata['southUrl'] = game.south_url\ndata['westUrl'] = game.west_url\ndata['northId'] = game.north_id\ndata['eastId'] = game.e... | <|body_start_0|>
data = dict()
data['north'] = game.north
data['east'] = game.east
data['south'] = game.south
data['west'] = game.west
data['northUrl'] = game.north_url
data['eastUrl'] = game.east_url
data['southUrl'] = game.south_url
data['westUrl... | Class for generation of the dict/json representation of a game (Game) and vice versa. | GameSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: ... | stack_v2_sparse_classes_75kplus_train_072045 | 2,604 | no_license | [
{
"docstring": "Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: game: the game to convert Returns: dict representation of the game that can be converted to json",
"name": "game_to_dict",
"signature": "def game_to_dict... | 2 | stack_v2_sparse_classes_30k_train_014170 | Implement the Python class `GameSerializer` described below.
Class description:
Class for generation of the dict/json representation of a game (Game) and vice versa.
Method signatures and docstrings:
- def game_to_dict(game: Game) -> dict: Generate dict for the game that corresponds to the json description. RoundGene... | Implement the Python class `GameSerializer` described below.
Class description:
Class for generation of the dict/json representation of a game (Game) and vice versa.
Method signatures and docstrings:
- def game_to_dict(game: Game) -> dict: Generate dict for the game that corresponds to the json description. RoundGene... | 73b59f773f138e390951849f982de865d4f667b5 | <|skeleton|>
class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GameSerializer:
"""Class for generation of the dict/json representation of a game (Game) and vice versa."""
def game_to_dict(game: Game) -> dict:
"""Generate dict for the game that corresponds to the json description. RoundGenerator is used to generate the rounds for the game. Args: game: the gam... | the_stack_v2_python_sparse | source/jass/ion/game_serializer.py | FAIKUE/DL4G | train | 0 |
edbba839b2fcb8f25dd6cb4b0fa637d64f0384c8 | [
"super(SelfAttention, self).__init__()\nself.W = tf.keras.layers.Dense(units)\nself.U = tf.keras.layers.Dense(units)\nself.V = tf.keras.layers.Dense(1)",
"prev = self.W(tf.expand_dims(s_prev, 1))\nenc = self.U(hidden_states)\ne = self.V(tf.tanh(prev + enc))\nw = tf.nn.softmax(e, 1)\ncontext = w * hidden_states\nr... | <|body_start_0|>
super(SelfAttention, self).__init__()
self.W = tf.keras.layers.Dense(units)
self.U = tf.keras.layers.Dense(units)
self.V = tf.keras.layers.Dense(1)
<|end_body_0|>
<|body_start_1|>
prev = self.W(tf.expand_dims(s_prev, 1))
enc = self.U(hidden_states)
... | Self Attention | SelfAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units units, to be applied to the previous decoder hidden state ... | stack_v2_sparse_classes_75kplus_train_072046 | 1,773 | no_license | [
{
"docstring": "Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units units, to be applied to the previous decoder hidden state U - a Dense layer with units units, to be applied to the encoder hidden states... | 2 | stack_v2_sparse_classes_30k_train_006286 | Implement the Python class `SelfAttention` described below.
Class description:
Self Attention
Method signatures and docstrings:
- def __init__(self, units): Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units u... | Implement the Python class `SelfAttention` described below.
Class description:
Self Attention
Method signatures and docstrings:
- def __init__(self, units): Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units u... | fe8fe88a43b7a86f0c4b05540751847e7c1c418b | <|skeleton|>
class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units units, to be applied to the previous decoder hidden state ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SelfAttention:
"""Self Attention"""
def __init__(self, units):
"""Class constructor - units is an integer representing the number of hidden units in the alignment model public instance attributes: W - a Dense layer with units units, to be applied to the previous decoder hidden state U - a Dense l... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/1-self_attention.py | Viiic98/holbertonschool-machine_learning | train | 0 |
e2102c8b12d07505bba1a538198dc2624663b616 | [
"super().__init__(sdc_values=sdc_values, version=version, properties=properties, inputs=inputs, category=category, subcategory=subcategory)\nself.name: str = name or 'ONAP-test-PNF'\nself.vendor: Vendor = vendor\nself.vsp: Vsp = vsp",
"if not self.vsp and (not self.vendor):\n raise ParameterError('Neither Vsp ... | <|body_start_0|>
super().__init__(sdc_values=sdc_values, version=version, properties=properties, inputs=inputs, category=category, subcategory=subcategory)
self.name: str = name or 'ONAP-test-PNF'
self.vendor: Vendor = vendor
self.vsp: Vsp = vsp
<|end_body_0|>
<|body_start_1|>
i... | ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the vendor from SDC. uuid (str): the UUID of the PNF (which is different ... | Pnf | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pnf:
"""ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the vendor from SDC. uuid (str): the UUID ... | stack_v2_sparse_classes_75kplus_train_072047 | 2,481 | permissive | [
{
"docstring": "Initialize pnf object. Args: name (optional): the name of the pnf version (str, optional): the version of a PNF object",
"name": "__init__",
"signature": "def __init__(self, name: str=None, version: str=None, vendor: Vendor=None, sdc_values: Dict[str, str]=None, vsp: Vsp=None, properties... | 3 | stack_v2_sparse_classes_30k_train_006368 | Implement the Python class `Pnf` described below.
Class description:
ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the... | Implement the Python class `Pnf` described below.
Class description:
ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the... | b204aa63043825290d4c0a940edd7e9241f6c0ee | <|skeleton|>
class Pnf:
"""ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the vendor from SDC. uuid (str): the UUID ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Pnf:
"""ONAP PNF Object used for SDC operations. Attributes: name (str): the name of the pnf. Defaults to "ONAP-test-PNF". identifier (str): the unique ID of the pnf from SDC. status (str): the status of the pnf from SDC. version (str): the version ID of the vendor from SDC. uuid (str): the UUID of the PNF (w... | the_stack_v2_python_sparse | src/onapsdk/sdc/pnf.py | Orange-OpenSource/python-onapsdk | train | 4 |
5f17bcc03a21dd9ff488551d3b47693f9857236a | [
"query = Q()\nif key_words:\n if key_words.isdigit():\n query = Q(deal_id=key_words)\n else:\n query = Q(client=key_words) | Q(provider=key_words)\nquery = Deal.objects(query).order_by('-deal_id')\nresult = mongo_paginator(query, page_index, page_size)\nresult['objects'] = [info.to_dict(only_fie... | <|body_start_0|>
query = Q()
if key_words:
if key_words.isdigit():
query = Q(deal_id=key_words)
else:
query = Q(client=key_words) | Q(provider=key_words)
query = Deal.objects(query).order_by('-deal_id')
result = mongo_paginator(quer... | 订单服务 | DealService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DealService:
"""订单服务"""
def get_deal_list(cls, key_words=None, page_index=1, page_size=20):
"""获取订单列表 :param key_words: :param page_index: :param page_size: :return:"""
<|body_0|>
def get_deal_info(cls, deal_id):
"""获取订单详情 :param deal_id: :return:"""
<|bo... | stack_v2_sparse_classes_75kplus_train_072048 | 1,558 | no_license | [
{
"docstring": "获取订单列表 :param key_words: :param page_index: :param page_size: :return:",
"name": "get_deal_list",
"signature": "def get_deal_list(cls, key_words=None, page_index=1, page_size=20)"
},
{
"docstring": "获取订单详情 :param deal_id: :return:",
"name": "get_deal_info",
"signature": "... | 2 | null | Implement the Python class `DealService` described below.
Class description:
订单服务
Method signatures and docstrings:
- def get_deal_list(cls, key_words=None, page_index=1, page_size=20): 获取订单列表 :param key_words: :param page_index: :param page_size: :return:
- def get_deal_info(cls, deal_id): 获取订单详情 :param deal_id: :re... | Implement the Python class `DealService` described below.
Class description:
订单服务
Method signatures and docstrings:
- def get_deal_list(cls, key_words=None, page_index=1, page_size=20): 获取订单列表 :param key_words: :param page_index: :param page_size: :return:
- def get_deal_info(cls, deal_id): 获取订单详情 :param deal_id: :re... | 8454e25e5d874353de22bc73d3e6a9a78112657f | <|skeleton|>
class DealService:
"""订单服务"""
def get_deal_list(cls, key_words=None, page_index=1, page_size=20):
"""获取订单列表 :param key_words: :param page_index: :param page_size: :return:"""
<|body_0|>
def get_deal_info(cls, deal_id):
"""获取订单详情 :param deal_id: :return:"""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DealService:
"""订单服务"""
def get_deal_list(cls, key_words=None, page_index=1, page_size=20):
"""获取订单列表 :param key_words: :param page_index: :param page_size: :return:"""
query = Q()
if key_words:
if key_words.isdigit():
query = Q(deal_id=key_words)
... | the_stack_v2_python_sparse | explorer/services/deal.py | wanxiang-blockchain/2021Wanxiang-Blockchain-Hackathon-Athena | train | 0 |
5b69ba32324090721245589dcb0ff9b040faf898 | [
"these_high_indices, these_low_indices = model_activation.get_hilo_activation_examples(storm_activations=STORM_ACTIVATIONS, num_low_activation_examples=NUM_LOW_ACTIVATION_EXAMPLES_FEW, num_high_activation_examples=NUM_HIGH_ACTIVATION_EXAMPLES_FEW)\nself.assertTrue(numpy.array_equal(these_high_indices, HIGH_INDICES_... | <|body_start_0|>
these_high_indices, these_low_indices = model_activation.get_hilo_activation_examples(storm_activations=STORM_ACTIVATIONS, num_low_activation_examples=NUM_LOW_ACTIVATION_EXAMPLES_FEW, num_high_activation_examples=NUM_HIGH_ACTIVATION_EXAMPLES_FEW)
self.assertTrue(numpy.array_equal(these_... | Unit tests for model_activation.py. | ModelActivationTests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelActivationTests:
"""Unit tests for model_activation.py."""
def test_get_hilo_activation_examples_few(self):
"""Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned."""
<|body_0|>
def test_get_hilo_activation_example... | stack_v2_sparse_classes_75kplus_train_072049 | 5,396 | permissive | [
{
"docstring": "Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned.",
"name": "test_get_hilo_activation_examples_few",
"signature": "def test_get_hilo_activation_examples_few(self)"
},
{
"docstring": "Ensures correct output from _get_hilo_acti... | 4 | stack_v2_sparse_classes_30k_train_033526 | Implement the Python class `ModelActivationTests` described below.
Class description:
Unit tests for model_activation.py.
Method signatures and docstrings:
- def test_get_hilo_activation_examples_few(self): Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned.
- def ... | Implement the Python class `ModelActivationTests` described below.
Class description:
Unit tests for model_activation.py.
Method signatures and docstrings:
- def test_get_hilo_activation_examples_few(self): Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned.
- def ... | 699b995b1b90344022b1644d4b758e790402894e | <|skeleton|>
class ModelActivationTests:
"""Unit tests for model_activation.py."""
def test_get_hilo_activation_examples_few(self):
"""Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned."""
<|body_0|>
def test_get_hilo_activation_example... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelActivationTests:
"""Unit tests for model_activation.py."""
def test_get_hilo_activation_examples_few(self):
"""Ensures correct output from _get_hilo_activation_examples. In this case, only few examples are returned."""
these_high_indices, these_low_indices = model_activation.get_hilo... | the_stack_v2_python_sparse | gewittergefahr/deep_learning/model_activation_test.py | cil0834/GewitterGefahr | train | 0 |
aa8e640e78b3314d2df0cdb2c0228830056cab9d | [
"if isinstance(x, valid_type):\n pass\nelse:\n raise TypeError(f'Expected type of {x} is an instance of {valid_type}, but got ``{type(x)}``.')",
"if x in valid_value:\n pass\nelse:\n raise ValueError(f'Expected `x` is one of {valid_value}, but got ``{x}``.')",
"out = []\nfor each in args:\n if is... | <|body_start_0|>
if isinstance(x, valid_type):
pass
else:
raise TypeError(f'Expected type of {x} is an instance of {valid_type}, but got ``{type(x)}``.')
<|end_body_0|>
<|body_start_1|>
if x in valid_value:
pass
else:
raise ValueError(f'Ex... | A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values. | Validation | [
"Apache-2.0",
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Validation:
"""A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values."""
def validate_type(x, valid_type):
"""Check whether an object is an instance of `valid_type`. Parameters ---------- x: object object to be verifi... | stack_v2_sparse_classes_75kplus_train_072050 | 3,049 | permissive | [
{
"docstring": "Check whether an object is an instance of `valid_type`. Parameters ---------- x: object object to be verified valid_type: type or tuple of type A tuple, as in ``validate_type(x, (A, B, ...))``, may be given as the target to check against. This is equivalent to ``validate_type(x, A) or validate_t... | 3 | stack_v2_sparse_classes_30k_train_049177 | Implement the Python class `Validation` described below.
Class description:
A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values.
Method signatures and docstrings:
- def validate_type(x, valid_type): Check whether an object is an instance of `valid_t... | Implement the Python class `Validation` described below.
Class description:
A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values.
Method signatures and docstrings:
- def validate_type(x, valid_type): Check whether an object is an instance of `valid_t... | 238cbc41865ddf629bb6ae92c2e1445be27f98b8 | <|skeleton|>
class Validation:
"""A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values."""
def validate_type(x, valid_type):
"""Check whether an object is an instance of `valid_type`. Parameters ---------- x: object object to be verifi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Validation:
"""A class for Parameters Validation Check whether the parameters are valid, including parameter types and parameter values."""
def validate_type(x, valid_type):
"""Check whether an object is an instance of `valid_type`. Parameters ---------- x: object object to be verified valid_type... | the_stack_v2_python_sparse | gcastle/castle/algorithms/gradient/corl/torch/utils/validation.py | huawei-noah/trustworthyAI | train | 832 |
a49e0b2b67f292072ec9fac47b5072eec35aeda6 | [
"self.response.headers['Content-Type'] = 'text/html'\nvalues = {'username': '', 'password': '', 'verify': '', 'email': ''}\nvalidation = UserSignupValidation()\nvalidationMsgs = validation.initialize_messages_dict()\nvalues.update(validationMsgs)\npath = os.path.join(os.path.dirname(__file__), 'usersignup.html')\ns... | <|body_start_0|>
self.response.headers['Content-Type'] = 'text/html'
values = {'username': '', 'password': '', 'verify': '', 'email': ''}
validation = UserSignupValidation()
validationMsgs = validation.initialize_messages_dict()
values.update(validationMsgs)
path = os.pat... | Handles the user signup page | UserSignupPage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSignupPage:
"""Handles the user signup page"""
def get(self):
"""Handles initial get request"""
<|body_0|>
def post(self):
"""Handles post requests"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.response.headers['Content-Type'] = 'text... | stack_v2_sparse_classes_75kplus_train_072051 | 6,815 | permissive | [
{
"docstring": "Handles initial get request",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Handles post requests",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004897 | Implement the Python class `UserSignupPage` described below.
Class description:
Handles the user signup page
Method signatures and docstrings:
- def get(self): Handles initial get request
- def post(self): Handles post requests | Implement the Python class `UserSignupPage` described below.
Class description:
Handles the user signup page
Method signatures and docstrings:
- def get(self): Handles initial get request
- def post(self): Handles post requests
<|skeleton|>
class UserSignupPage:
"""Handles the user signup page"""
def get(se... | 87cf5dd5d0e06ee745d3aba058d96fa46f2aeb6b | <|skeleton|>
class UserSignupPage:
"""Handles the user signup page"""
def get(self):
"""Handles initial get request"""
<|body_0|>
def post(self):
"""Handles post requests"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserSignupPage:
"""Handles the user signup page"""
def get(self):
"""Handles initial get request"""
self.response.headers['Content-Type'] = 'text/html'
values = {'username': '', 'password': '', 'verify': '', 'email': ''}
validation = UserSignupValidation()
validati... | the_stack_v2_python_sparse | src/unit5/registration/usersignup_main.py | cdoremus/udacity-python_web_development-cs253 | train | 0 |
aac27b3a29827db8bae05d7ca6fc2ce24f68a4f3 | [
"if root == None:\n return 0\nreturn max(self.max_depth(root.left), self.max_depth(root.right)) + 1",
"stack = []\nif root:\n stack.append((root, 1))\ndepth = 0\nwhile stack:\n current = stack.pop()\n root, current_depth = (current[0], current[1])\n if root:\n depth = max(depth, current_dept... | <|body_start_0|>
if root == None:
return 0
return max(self.max_depth(root.left), self.max_depth(root.right)) + 1
<|end_body_0|>
<|body_start_1|>
stack = []
if root:
stack.append((root, 1))
depth = 0
while stack:
current = stack.pop()
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def max_depth(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Returns: 最大深度"""
<|body_0|>
def max_depth_2(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Returns: 最大深度"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if root == No... | stack_v2_sparse_classes_75kplus_train_072052 | 2,289 | permissive | [
{
"docstring": "最大深度 Args: root:根节点 Returns: 最大深度",
"name": "max_depth",
"signature": "def max_depth(self, root: TreeNode) -> int"
},
{
"docstring": "最大深度 Args: root:根节点 Returns: 最大深度",
"name": "max_depth_2",
"signature": "def max_depth_2(self, root: TreeNode) -> int"
}
] | 2 | stack_v2_sparse_classes_30k_train_048049 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def max_depth(self, root: TreeNode) -> int: 最大深度 Args: root:根节点 Returns: 最大深度
- def max_depth_2(self, root: TreeNode) -> int: 最大深度 Args: root:根节点 Returns: 最大深度 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def max_depth(self, root: TreeNode) -> int: 最大深度 Args: root:根节点 Returns: 最大深度
- def max_depth_2(self, root: TreeNode) -> int: 最大深度 Args: root:根节点 Returns: 最大深度
<|skeleton|>
clas... | 50f35eef6a0ad63173efed10df3c835b1dceaa3f | <|skeleton|>
class Solution:
def max_depth(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Returns: 最大深度"""
<|body_0|>
def max_depth_2(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Returns: 最大深度"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def max_depth(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Returns: 最大深度"""
if root == None:
return 0
return max(self.max_depth(root.left), self.max_depth(root.right)) + 1
def max_depth_2(self, root: TreeNode) -> int:
"""最大深度 Args: root:根节点 Re... | the_stack_v2_python_sparse | src/leetcodepython/tree/maximum_depth_binary_tree_104.py | zhangyu345293721/leetcode | train | 101 | |
cd53676714d2a0786986abfc8454c325f43b6803 | [
"gtk.Frame.__init__(self)\nself.contents = contents\nself.contentBox = gtk.VBox()\nself.contentBox.pack_start(self.contents, True, True, 0)\nself.add(self.contentBox)\nframeWidget = gtk.Expander(title)\nframeWidget.connect('notify::expanded', self._toggle_content_box)\nself.set_label_widget(frameWidget)\nself.show_... | <|body_start_0|>
gtk.Frame.__init__(self)
self.contents = contents
self.contentBox = gtk.VBox()
self.contentBox.pack_start(self.contents, True, True, 0)
self.add(self.contentBox)
frameWidget = gtk.Expander(title)
frameWidget.connect('notify::expanded', self._toggl... | A frame with a toggle button and a title that can show or hide its contents | OptionalToggleFrame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptionalToggleFrame:
"""A frame with a toggle button and a title that can show or hide its contents"""
def __init__(self, contents, title=None, startHidden=True):
"""contents should be a container of some sort to be packed into the frame @param title: the frame title of course @type ... | stack_v2_sparse_classes_75kplus_train_072053 | 1,230 | no_license | [
{
"docstring": "contents should be a container of some sort to be packed into the frame @param title: the frame title of course @type title: string",
"name": "__init__",
"signature": "def __init__(self, contents, title=None, startHidden=True)"
},
{
"docstring": "shows or hides the contents",
... | 2 | stack_v2_sparse_classes_30k_train_016143 | Implement the Python class `OptionalToggleFrame` described below.
Class description:
A frame with a toggle button and a title that can show or hide its contents
Method signatures and docstrings:
- def __init__(self, contents, title=None, startHidden=True): contents should be a container of some sort to be packed into... | Implement the Python class `OptionalToggleFrame` described below.
Class description:
A frame with a toggle button and a title that can show or hide its contents
Method signatures and docstrings:
- def __init__(self, contents, title=None, startHidden=True): contents should be a container of some sort to be packed into... | a47152d558081a9ebeb5630acfe5f46a49ab4246 | <|skeleton|>
class OptionalToggleFrame:
"""A frame with a toggle button and a title that can show or hide its contents"""
def __init__(self, contents, title=None, startHidden=True):
"""contents should be a container of some sort to be packed into the frame @param title: the frame title of course @type ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OptionalToggleFrame:
"""A frame with a toggle button and a title that can show or hide its contents"""
def __init__(self, contents, title=None, startHidden=True):
"""contents should be a container of some sort to be packed into the frame @param title: the frame title of course @type title: string... | the_stack_v2_python_sparse | client/gui/gtk/widget/OptionalToggleFrame.py | clawplach/BitBlinder | train | 0 |
eac34677b256ce5527eb4b12698be65fa4ca9717 | [
"super(SparseGraphAttentionLayer, self).__init__()\nself.output_dim = output_dim\nself.W = nn.Parameter(torch.Tensor(input_dim, output_dim))\nself.a = nn.Parameter(torch.Tensor(2 * output_dim, 1))\nif bias:\n self.bias = nn.Parameter(torch.FloatTensor(output_dim))\nelse:\n self.register_parameter('bias', None... | <|body_start_0|>
super(SparseGraphAttentionLayer, self).__init__()
self.output_dim = output_dim
self.W = nn.Parameter(torch.Tensor(input_dim, output_dim))
self.a = nn.Parameter(torch.Tensor(2 * output_dim, 1))
if bias:
self.bias = nn.Parameter(torch.FloatTensor(output... | Graph Attention层 (sparse input) | SparseGraphAttentionLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SparseGraphAttentionLayer:
"""Graph Attention层 (sparse input)"""
def __init__(self, input_dim, output_dim, dropout, alpha, bias=True):
"""Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度 dropout: float, dropout比例 alpha: float, LeakyReLU负数部分斜率 ... | stack_v2_sparse_classes_75kplus_train_072054 | 6,215 | permissive | [
{
"docstring": "Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度 dropout: float, dropout比例 alpha: float, LeakyReLU负数部分斜率 bias: boolean, 是否使用偏置",
"name": "__init__",
"signature": "def __init__(self, input_dim, output_dim, dropout, alpha, bias=True)"
},
{
"... | 5 | stack_v2_sparse_classes_30k_train_022149 | Implement the Python class `SparseGraphAttentionLayer` described below.
Class description:
Graph Attention层 (sparse input)
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, dropout, alpha, bias=True): Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度... | Implement the Python class `SparseGraphAttentionLayer` described below.
Class description:
Graph Attention层 (sparse input)
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, dropout, alpha, bias=True): Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度... | ee16c37fd065ba4c732138096f715f04c0ad6fcf | <|skeleton|>
class SparseGraphAttentionLayer:
"""Graph Attention层 (sparse input)"""
def __init__(self, input_dim, output_dim, dropout, alpha, bias=True):
"""Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度 dropout: float, dropout比例 alpha: float, LeakyReLU负数部分斜率 ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SparseGraphAttentionLayer:
"""Graph Attention层 (sparse input)"""
def __init__(self, input_dim, output_dim, dropout, alpha, bias=True):
"""Graph Attention层 (sparse input) Inputs: ------- input_dim: int, 输入维度 outut_dim: int, 输出维度 dropout: float, dropout比例 alpha: float, LeakyReLU负数部分斜率 bias: boolean... | the_stack_v2_python_sparse | Node/GAT/script/layers.py | robbinc91/GNN-Pytorch | train | 0 |
e0ec70e7d2e2f3b88f9ce3c8ab009b605feeb003 | [
"self.host = host\nself.port = port\nself.timeout = timeout\nself._current_info = {}\nself._last_hash = ''\nself.alive = False\nself._agent_scope = agent_scope\nself._not_ready_sleep = not_ready_sleep\nself._client = ZmqClient(host=self.host, port=self.port, timeout=self.timeout, serializer=U.serialize, deserialize... | <|body_start_0|>
self.host = host
self.port = port
self.timeout = timeout
self._current_info = {}
self._last_hash = ''
self.alive = False
self._agent_scope = agent_scope
self._not_ready_sleep = not_ready_sleep
self._client = ZmqClient(host=self.hos... | On agent side, sends requests to parameter servers to fetch the latest parameters. | ParameterClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParameterClient:
"""On agent side, sends requests to parameter servers to fetch the latest parameters."""
def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2):
"""Args: host: parameter server host port: parameter server port timeout: how long should the the clien... | stack_v2_sparse_classes_75kplus_train_072055 | 12,187 | no_license | [
{
"docstring": "Args: host: parameter server host port: parameter server port timeout: how long should the the client wait if the parameter server is not available",
"name": "__init__",
"signature": "def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2)"
},
{
"docstring": "Ke... | 6 | null | Implement the Python class `ParameterClient` described below.
Class description:
On agent side, sends requests to parameter servers to fetch the latest parameters.
Method signatures and docstrings:
- def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2): Args: host: parameter server host port: par... | Implement the Python class `ParameterClient` described below.
Class description:
On agent side, sends requests to parameter servers to fetch the latest parameters.
Method signatures and docstrings:
- def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2): Args: host: parameter server host port: par... | 21a497bd67d82aab27cb883386601db0a062c9d1 | <|skeleton|>
class ParameterClient:
"""On agent side, sends requests to parameter servers to fetch the latest parameters."""
def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2):
"""Args: host: parameter server host port: parameter server port timeout: how long should the the clien... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParameterClient:
"""On agent side, sends requests to parameter servers to fetch the latest parameters."""
def __init__(self, host, port, agent_scope, timeout=2, not_ready_sleep=2):
"""Args: host: parameter server host port: parameter server port timeout: how long should the the client wait if the... | the_stack_v2_python_sparse | liaison/distributed/parameter_server.py | aravic/liaison | train | 0 |
595945ef852de1a3b4bb01045509608416a962d1 | [
"categories = []\nfor category in category_names.split(','):\n if cls.check_category(category):\n try:\n category = Category.objects.get(name=category)\n except (Category.DoesNotExist, ObjectDoesNotExist):\n try:\n category = Category.objects.create(name=categor... | <|body_start_0|>
categories = []
for category in category_names.split(','):
if cls.check_category(category):
try:
category = Category.objects.get(name=category)
except (Category.DoesNotExist, ObjectDoesNotExist):
try:
... | Create categories and update the product categories field. | CategoriesHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CategoriesHandler:
"""Create categories and update the product categories field."""
def create_categories(cls, category_names):
"""Create and returns the categories."""
<|body_0|>
def check_category(cls, category):
"""Filter the category."""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus_train_072056 | 4,792 | permissive | [
{
"docstring": "Create and returns the categories.",
"name": "create_categories",
"signature": "def create_categories(cls, category_names)"
},
{
"docstring": "Filter the category.",
"name": "check_category",
"signature": "def check_category(cls, category)"
}
] | 2 | null | Implement the Python class `CategoriesHandler` described below.
Class description:
Create categories and update the product categories field.
Method signatures and docstrings:
- def create_categories(cls, category_names): Create and returns the categories.
- def check_category(cls, category): Filter the category. | Implement the Python class `CategoriesHandler` described below.
Class description:
Create categories and update the product categories field.
Method signatures and docstrings:
- def create_categories(cls, category_names): Create and returns the categories.
- def check_category(cls, category): Filter the category.
<|... | 9e930f52a5f2c4c6c25a0a52b247f7b61fc7ffe8 | <|skeleton|>
class CategoriesHandler:
"""Create categories and update the product categories field."""
def create_categories(cls, category_names):
"""Create and returns the categories."""
<|body_0|>
def check_category(cls, category):
"""Filter the category."""
<|body_1|>
<... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CategoriesHandler:
"""Create categories and update the product categories field."""
def create_categories(cls, category_names):
"""Create and returns the categories."""
categories = []
for category in category_names.split(','):
if cls.check_category(category):
... | the_stack_v2_python_sparse | apps/products/tasks.py | 8area8/p8__pur-beurre | train | 0 |
544c10643bdcebd2dc744863b20c45806962afe7 | [
"while p != self.id[p]:\n p = self.id[p]\nreturn p",
"pRoot = self.find(p)\nqRoot = self.find(q)\nif pRoot == qRoot:\n return\nself.id[pRoot] = qRoot\nself.count -= 1"
] | <|body_start_0|>
while p != self.id[p]:
p = self.id[p]
return p
<|end_body_0|>
<|body_start_1|>
pRoot = self.find(p)
qRoot = self.find(q)
if pRoot == qRoot:
return
self.id[pRoot] = qRoot
self.count -= 1
<|end_body_1|>
| QuickUnion | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuickUnion:
def find(self, p):
"""获取所属集合"""
<|body_0|>
def union(self, p, q):
"""连接两个集合"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
while p != self.id[p]:
p = self.id[p]
return p
<|end_body_0|>
<|body_start_1|>
pRoot... | stack_v2_sparse_classes_75kplus_train_072057 | 984 | no_license | [
{
"docstring": "获取所属集合",
"name": "find",
"signature": "def find(self, p)"
},
{
"docstring": "连接两个集合",
"name": "union",
"signature": "def union(self, p, q)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027681 | Implement the Python class `QuickUnion` described below.
Class description:
Implement the QuickUnion class.
Method signatures and docstrings:
- def find(self, p): 获取所属集合
- def union(self, p, q): 连接两个集合 | Implement the Python class `QuickUnion` described below.
Class description:
Implement the QuickUnion class.
Method signatures and docstrings:
- def find(self, p): 获取所属集合
- def union(self, p, q): 连接两个集合
<|skeleton|>
class QuickUnion:
def find(self, p):
"""获取所属集合"""
<|body_0|>
def union(self,... | 44ae15211514dbc982c668522320389fc90c5c9c | <|skeleton|>
class QuickUnion:
def find(self, p):
"""获取所属集合"""
<|body_0|>
def union(self, p, q):
"""连接两个集合"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuickUnion:
def find(self, p):
"""获取所属集合"""
while p != self.id[p]:
p = self.id[p]
return p
def union(self, p, q):
"""连接两个集合"""
pRoot = self.find(p)
qRoot = self.find(q)
if pRoot == qRoot:
return
self.id[pRoot] = qRoot... | the_stack_v2_python_sparse | python/algorithms算法/fundamentals/uf_quickunion.py | ZhangShuaiyi/myTest | train | 0 | |
723628b68bee3512a809c1cdb715d71fc593e5b8 | [
"super(Decoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(target_vocab, self.dm)\nself.positional_encoding = positional_encoding(max_seq_len, self.dm)\nself.blocks = [DecoderBlock(self.dm, h, hidden, drop_rate) for n in range(self.N)]\nself.dropout = tf.keras.layers.Drop... | <|body_start_0|>
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(target_vocab, self.dm)
self.positional_encoding = positional_encoding(max_seq_len, self.dm)
self.blocks = [DecoderBlock(self.dm, h, hidden, drop_rate) for n... | Perform encoder part of the transformer | Decoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Perform encoder part of the transformer"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer representing the dimensionality of the model - h: integer re... | stack_v2_sparse_classes_75kplus_train_072058 | 2,995 | no_license | [
{
"docstring": "initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer representing the dimensionality of the model - h: integer representing the number of heads - hidden: the number of hidden units in the fully connected layer - target_vocab: the size of the target vocabulary - m... | 2 | stack_v2_sparse_classes_30k_train_017197 | Implement the Python class `Decoder` described below.
Class description:
Perform encoder part of the transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1): initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer rep... | Implement the Python class `Decoder` described below.
Class description:
Perform encoder part of the transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1): initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer rep... | 1d86c9606371697854878b833b810d73c9af7ee7 | <|skeleton|>
class Decoder:
"""Perform encoder part of the transformer"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer representing the dimensionality of the model - h: integer re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""Perform encoder part of the transformer"""
def __init__(self, N, dm, h, hidden, target_vocab, max_seq_len, drop_rate=0.1):
"""initialized the variables Arg: - N: the number of blocks in the encoder - dm: integer representing the dimensionality of the model - h: integer representing th... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/10-transformer_decoder.py | macoyulloa/holbertonschool-machine_learning | train | 0 |
c0d6d78684b6939d2a5782ed7631cee4e471df98 | [
"if s is not None and t is not None and (abs(len(s) - len(t)) == 1):\n dic = {}\n for i, x in enumerate(s):\n if x not in dic:\n dic[x] = [i]\n else:\n dic[x].append(i)\n other_dic = {}\n for j, y in enumerate(t):\n if y not in dic:\n return y\n ... | <|body_start_0|>
if s is not None and t is not None and (abs(len(s) - len(t)) == 1):
dic = {}
for i, x in enumerate(s):
if x not in dic:
dic[x] = [i]
else:
dic[x].append(i)
other_dic = {}
for ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def find_diff_non_sorted(self, s, t):
"""worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)"""
<|body_0|>
def findTheDifference(self, s, t):
""":type s: str ... | stack_v2_sparse_classes_75kplus_train_072059 | 2,381 | no_license | [
{
"docstring": "worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)",
"name": "find_diff_non_sorted",
"signature": "def find_diff_non_sorted(self, s, t)"
},
{
"docstring": ":type s: str :type t: st... | 2 | stack_v2_sparse_classes_30k_train_029402 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_diff_non_sorted(self, s, t): worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => l... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find_diff_non_sorted(self, s, t): worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => l... | d551b46c949e12c373250d88959a83f995b80ed9 | <|skeleton|>
class Solution:
def find_diff_non_sorted(self, s, t):
"""worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)"""
<|body_0|>
def findTheDifference(self, s, t):
""":type s: str ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def find_diff_non_sorted(self, s, t):
"""worst case: if the extra character is one of the duplicate values complexity: O(n) + O(m) + O(distinct characters in t): n => len(s), m => len(t) O(m)"""
if s is not None and t is not None and (abs(len(s) - len(t)) == 1):
dic = {}
... | the_stack_v2_python_sparse | oj/leet_code/leet-code-389.py | PollobAtGit/python-101 | train | 0 | |
92bfb1ec0c9a799cc901d6d5d94aedbecbed5902 | [
"self.bidsInterface = BidsInterface(dataRemote=False)\nself.wsRemoteService = WsRemoteService(args, webSocketChannelName)\nself.wsRemoteService.addHandlerClass(BidsInterface, self.bidsInterface)",
"self.recvThread = threading.Thread(name='recvThread', target=self.wsRemoteService.runForever)\nself.recvThread.setDa... | <|body_start_0|>
self.bidsInterface = BidsInterface(dataRemote=False)
self.wsRemoteService = WsRemoteService(args, webSocketChannelName)
self.wsRemoteService.addHandlerClass(BidsInterface, self.bidsInterface)
<|end_body_0|>
<|body_start_1|>
self.recvThread = threading.Thread(name='recvT... | A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface. | OpenNeuroService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OpenNeuroService:
"""A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface."""
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to... | stack_v2_sparse_classes_75kplus_train_072060 | 2,981 | permissive | [
{
"docstring": "Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote projectServer. Instantiates a local version of BidsInterface to handle client requests coming from the projectServer connection. Args: args: Argparse args related to connecting to the remot... | 2 | stack_v2_sparse_classes_30k_train_029939 | Implement the Python class `OpenNeuroService` described below.
Class description:
A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface.
Method signatures and docstrings:
- def __init__(self, args, webSocketCha... | Implement the Python class `OpenNeuroService` described below.
Class description:
A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface.
Method signatures and docstrings:
- def __init__(self, args, webSocketCha... | 3eb181152e173d5e8e5e46c2d2faeab25f11f564 | <|skeleton|>
class OpenNeuroService:
"""A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface."""
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OpenNeuroService:
"""A class that implements the OpenNeuroService by instantiating a BidsInterface, connecting to the remote projectServer and servicing requests to the BidsInterface."""
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to parse connec... | the_stack_v2_python_sparse | rtCommon/openNeuroService.py | brainiak/rt-cloud | train | 13 |
2724fd1e7bc09a955f1e5d13e87b1a834e4566ac | [
"super().__init__()\nself.norm = nn.InstanceNorm1D(in_channels, momentum=0.1, data_format='NCL', weight_attr=False, bias_attr=False)\nself.aux_conv = nn.Sequential(nn.Conv1D(aux_channels, in_channels, kernel_size, 1, bias_attr=bias, padding=(kernel_size - 1) // 2))\nself.gated_conv = nn.Sequential(nn.Conv1D(in_chan... | <|body_start_0|>
super().__init__()
self.norm = nn.InstanceNorm1D(in_channels, momentum=0.1, data_format='NCL', weight_attr=False, bias_attr=False)
self.aux_conv = nn.Sequential(nn.Conv1D(aux_channels, in_channels, kernel_size, 1, bias_attr=bias, padding=(kernel_size - 1) // 2))
self.gat... | TADE Layer module. | TADELayer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TADELayer:
"""TADE Layer module."""
def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest'):
"""Initilize TADE layer."""
<|body_0|>
def forward(self, x, c):
"""Calcul... | stack_v2_sparse_classes_75kplus_train_072061 | 5,634 | permissive | [
{
"docstring": "Initilize TADE layer.",
"name": "__init__",
"signature": "def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest')"
},
{
"docstring": "Calculate forward propagation. Args: x (Tensor): ... | 2 | stack_v2_sparse_classes_30k_train_002506 | Implement the Python class `TADELayer` described below.
Class description:
TADE Layer module.
Method signatures and docstrings:
- def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest'): Initilize TADE layer.
- def forwar... | Implement the Python class `TADELayer` described below.
Class description:
TADE Layer module.
Method signatures and docstrings:
- def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest'): Initilize TADE layer.
- def forwar... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class TADELayer:
"""TADE Layer module."""
def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest'):
"""Initilize TADE layer."""
<|body_0|>
def forward(self, x, c):
"""Calcul... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TADELayer:
"""TADE Layer module."""
def __init__(self, in_channels: int=64, aux_channels: int=80, kernel_size: int=9, bias: bool=True, upsample_factor: int=2, upsample_mode: str='nearest'):
"""Initilize TADE layer."""
super().__init__()
self.norm = nn.InstanceNorm1D(in_channels, m... | the_stack_v2_python_sparse | paddlespeech/t2s/modules/tade_res_block.py | anniyanvr/DeepSpeech-1 | train | 0 |
f19032621de0adcda0d20dde66c25b1d3b09c91c | [
"self.code = code\nself.message = message\nself.token = token\nself.position = position\nif token:\n self.start_index = token.start_index\nelse:\n self.start_index = 0\nself.fix_data = fix_data\nif self.position:\n self.start_index += self.position.start",
"line_diff = a.token.line_number - b.token.line_... | <|body_start_0|>
self.code = code
self.message = message
self.token = token
self.position = position
if token:
self.start_index = token.start_index
else:
self.start_index = 0
self.fix_data = fix_data
if self.position:
se... | Object representing a style error. | Error | [
"Apache-2.0",
"BSD-3-Clause",
"X11",
"MIT",
"GPL-2.0-only"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Error:
"""Object representing a style error."""
def __init__(self, code, message, token, position, fix_data):
"""Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tokens.Token where the error occurred. position: The positio... | stack_v2_sparse_classes_75kplus_train_072062 | 2,070 | permissive | [
{
"docstring": "Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tokens.Token where the error occurred. position: The position of the error within the token. fix_data: Data to be used in autofixing. Codes with fix_data are: GOOG_REQUIRES_NOT_ALPHABET... | 2 | null | Implement the Python class `Error` described below.
Class description:
Object representing a style error.
Method signatures and docstrings:
- def __init__(self, code, message, token, position, fix_data): Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tok... | Implement the Python class `Error` described below.
Class description:
Object representing a style error.
Method signatures and docstrings:
- def __init__(self, code, message, token, position, fix_data): Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tok... | 8ea819b082201fb9a8c7c158dfe0945be4ff03f8 | <|skeleton|>
class Error:
"""Object representing a style error."""
def __init__(self, code, message, token, position, fix_data):
"""Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tokens.Token where the error occurred. position: The positio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Error:
"""Object representing a style error."""
def __init__(self, code, message, token, position, fix_data):
"""Initialize the error object. Args: code: The numeric error code. message: The error message string. token: The tokens.Token where the error occurred. position: The position of the erro... | the_stack_v2_python_sparse | lib/extern/closure-linter/closure_linter/common/error.py | cloudkick/cast | train | 110 |
aff37f6c081fd90494bba0996de2d664e56a4044 | [
"for parser in parsers:\n if parser.media_type in SCIM_CONTENT_TYPES:\n return parser",
"for renderer in renderers:\n if renderer.media_type in SCIM_CONTENT_TYPES:\n return (renderer, renderer.media_type)"
] | <|body_start_0|>
for parser in parsers:
if parser.media_type in SCIM_CONTENT_TYPES:
return parser
<|end_body_0|>
<|body_start_1|>
for renderer in renderers:
if renderer.media_type in SCIM_CONTENT_TYPES:
return (renderer, renderer.media_type)
<|end... | SCIMClientNegotiation | [
"Apache-2.0",
"BUSL-1.1"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SCIMClientNegotiation:
def select_parser(self, request: Request, parsers):
"""Select the first parser in the `.parser_classes` list."""
<|body_0|>
def select_renderer(self, request: Request, renderers, format_suffix):
"""Select the first renderer in the `.renderer_cl... | stack_v2_sparse_classes_75kplus_train_072063 | 7,038 | permissive | [
{
"docstring": "Select the first parser in the `.parser_classes` list.",
"name": "select_parser",
"signature": "def select_parser(self, request: Request, parsers)"
},
{
"docstring": "Select the first renderer in the `.renderer_classes` list.",
"name": "select_renderer",
"signature": "def... | 2 | stack_v2_sparse_classes_30k_train_021611 | Implement the Python class `SCIMClientNegotiation` described below.
Class description:
Implement the SCIMClientNegotiation class.
Method signatures and docstrings:
- def select_parser(self, request: Request, parsers): Select the first parser in the `.parser_classes` list.
- def select_renderer(self, request: Request,... | Implement the Python class `SCIMClientNegotiation` described below.
Class description:
Implement the SCIMClientNegotiation class.
Method signatures and docstrings:
- def select_parser(self, request: Request, parsers): Select the first parser in the `.parser_classes` list.
- def select_renderer(self, request: Request,... | d9dd4f382f96b5c4576b64cbf015db651556c18b | <|skeleton|>
class SCIMClientNegotiation:
def select_parser(self, request: Request, parsers):
"""Select the first parser in the `.parser_classes` list."""
<|body_0|>
def select_renderer(self, request: Request, renderers, format_suffix):
"""Select the first renderer in the `.renderer_cl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SCIMClientNegotiation:
def select_parser(self, request: Request, parsers):
"""Select the first parser in the `.parser_classes` list."""
for parser in parsers:
if parser.media_type in SCIM_CONTENT_TYPES:
return parser
def select_renderer(self, request: Request, ... | the_stack_v2_python_sparse | src/sentry/scim/endpoints/utils.py | nagyist/sentry | train | 0 | |
cf80295ad90c6d8a6dd5580fd49418cd612d4fc7 | [
"super(PinPos, self).__init__()\nself.pin_offset_x = pin_offset_x\nself.pin_offset_y = pin_offset_y\nself.pin2node_map = pin2node_map.long()\nself.flat_node2pin_map = flat_node2pin_map\nself.flat_node2pin_start_map = flat_node2pin_start_map\nself.num_physical_nodes = num_physical_nodes\nself.algorithm = algorithm",... | <|body_start_0|>
super(PinPos, self).__init__()
self.pin_offset_x = pin_offset_x
self.pin_offset_y = pin_offset_y
self.pin2node_map = pin2node_map.long()
self.flat_node2pin_map = flat_node2pin_map
self.flat_node2pin_start_map = flat_node2pin_start_map
self.num_phy... | @brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]] | PinPos | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PinPos:
"""@brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]]"""
def __init__(self, pin_offset_x, pin_offset_y, pin2node_map, flat_node2pin_map, flat_node2pin_start_map, num_p... | stack_v2_sparse_classes_75kplus_train_072064 | 6,045 | permissive | [
{
"docstring": "@brief initialization @param pin_offset pin offset in x or y direction, only computes one direction @param algorithm segment|node-by-node",
"name": "__init__",
"signature": "def __init__(self, pin_offset_x, pin_offset_y, pin2node_map, flat_node2pin_map, flat_node2pin_start_map, num_physi... | 2 | stack_v2_sparse_classes_30k_train_024697 | Implement the Python class `PinPos` described below.
Class description:
@brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]]
Method signatures and docstrings:
- def __init__(self, pin_offset_x, pin_offse... | Implement the Python class `PinPos` described below.
Class description:
@brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]]
Method signatures and docstrings:
- def __init__(self, pin_offset_x, pin_offse... | f59ebfa4831573d3db38642f4b2d2e2108bd6e3e | <|skeleton|>
class PinPos:
"""@brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]]"""
def __init__(self, pin_offset_x, pin_offset_y, pin2node_map, flat_node2pin_map, flat_node2pin_start_map, num_p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PinPos:
"""@brief Given cell locations, compute pin locations. Different from torch.index_add which computes x[index[i]] += t[i], the forward function compute x[i] += t[index[i]]"""
def __init__(self, pin_offset_x, pin_offset_y, pin2node_map, flat_node2pin_map, flat_node2pin_start_map, num_physical_nodes... | the_stack_v2_python_sparse | dreamplace/ops/pin_pos/pin_pos.py | limbo018/DREAMPlace | train | 539 |
4d620b8a55919ed2257ee6eaca57727c67c037ec | [
"if not root:\n return 'null,'\nstack = [root]\nss = [str(root.val) + ',']\ns = ''\nwhile stack:\n p = stack.pop()\n s += ss.pop()\n if p:\n if p.right:\n stack.append(p.right)\n ss.append(str(p.right.val) + ',')\n else:\n stack.append(None)\n ss... | <|body_start_0|>
if not root:
return 'null,'
stack = [root]
ss = [str(root.val) + ',']
s = ''
while stack:
p = stack.pop()
s += ss.pop()
if p:
if p.right:
stack.append(p.right)
... | 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|>
if not root:
... | stack_v2_sparse_classes_75kplus_train_072065 | 2,873 | 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_047087 | 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... | 276d2137a929e41120c2e8a3a8e4d09023a2abd5 | <|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."""
if not root:
return 'null,'
stack = [root]
ss = [str(root.val) + ',']
s = ''
while stack:
p = stack.pop()
s += ss.pop()
if... | the_stack_v2_python_sparse | 449.序列化和反序列化二叉搜索树.py | kangkang59812/LeetCode-python | train | 0 | |
69eee2f6ea0c11bac67ef5ed050b3775e51ebaf2 | [
"BaseGanglia.__init__(self)\nself.manager_ip = '127.0.0.1'\nself.cps_home = config_parser.get('manager', 'CONPAAS_HOME')",
"BaseGanglia.configure(self)\nsrc = open(os.path.join(self.cps_home, 'config', 'ganglia', 'ganglia-gmetad.tmpl')).read()\ntmpl = Template(src, {'clusterName': self.cluster_name})\nopen(self.G... | <|body_start_0|>
BaseGanglia.__init__(self)
self.manager_ip = '127.0.0.1'
self.cps_home = config_parser.get('manager', 'CONPAAS_HOME')
<|end_body_0|>
<|body_start_1|>
BaseGanglia.configure(self)
src = open(os.path.join(self.cps_home, 'config', 'ganglia', 'ganglia-gmetad.tmpl')).... | ManagerGanglia | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ManagerGanglia:
def __init__(self, config_parser):
"""Same as for the base case, but with localhost as manager_ip"""
<|body_0|>
def configure(self):
"""Here we also need to configure gmetad and the ganglia frontend"""
<|body_1|>
def start(self):
... | stack_v2_sparse_classes_75kplus_train_072066 | 5,134 | permissive | [
{
"docstring": "Same as for the base case, but with localhost as manager_ip",
"name": "__init__",
"signature": "def __init__(self, config_parser)"
},
{
"docstring": "Here we also need to configure gmetad and the ganglia frontend",
"name": "configure",
"signature": "def configure(self)"
... | 3 | null | Implement the Python class `ManagerGanglia` described below.
Class description:
Implement the ManagerGanglia class.
Method signatures and docstrings:
- def __init__(self, config_parser): Same as for the base case, but with localhost as manager_ip
- def configure(self): Here we also need to configure gmetad and the ga... | Implement the Python class `ManagerGanglia` described below.
Class description:
Implement the ManagerGanglia class.
Method signatures and docstrings:
- def __init__(self, config_parser): Same as for the base case, but with localhost as manager_ip
- def configure(self): Here we also need to configure gmetad and the ga... | 0141a11b67b14757f445b44613ea79819b9c2eaf | <|skeleton|>
class ManagerGanglia:
def __init__(self, config_parser):
"""Same as for the base case, but with localhost as manager_ip"""
<|body_0|>
def configure(self):
"""Here we also need to configure gmetad and the ganglia frontend"""
<|body_1|>
def start(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ManagerGanglia:
def __init__(self, config_parser):
"""Same as for the base case, but with localhost as manager_ip"""
BaseGanglia.__init__(self)
self.manager_ip = '127.0.0.1'
self.cps_home = config_parser.get('manager', 'CONPAAS_HOME')
def configure(self):
"""Here w... | the_stack_v2_python_sparse | conpaas-services/src/conpaas/core/ganglia.py | ConPaaS-team/conpaas | train | 5 | |
9be4760076178743ad2adb72cc7f77d524475289 | [
"ip = readConfig.ip\ni_port = readConfig.i_port\nurl = 'http://' + ip + ':' + i_port + '/backend/capacity/maintain/siteInfo'\nheader = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0', 'X-Requested-With': 'XMLHttpRequest', 'Connection': 'keep-alive'}\npar = {'userCode': use... | <|body_start_0|>
ip = readConfig.ip
i_port = readConfig.i_port
url = 'http://' + ip + ':' + i_port + '/backend/capacity/maintain/siteInfo'
header = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:44.0) Gecko/20100101 Firefox/44.0', 'X-Requested-With': 'XMLHttpRequest', 'Connectio... | 站长站点信息接口 | Maintain_siteinfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Maintain_siteinfo:
"""站长站点信息接口"""
def siteinfo(self, userCode):
"""一个参数： 登录用户code（工号）：userCode"""
<|body_0|>
def test_siteinfo1(self):
"""测试站长站点信息接口：请求参数正确"""
<|body_1|>
def test_siteinfo2(self):
"""测试站长站点信息接口：登录用户code（工号）不存在"""
<|bod... | stack_v2_sparse_classes_75kplus_train_072067 | 2,994 | no_license | [
{
"docstring": "一个参数： 登录用户code（工号）：userCode",
"name": "siteinfo",
"signature": "def siteinfo(self, userCode)"
},
{
"docstring": "测试站长站点信息接口：请求参数正确",
"name": "test_siteinfo1",
"signature": "def test_siteinfo1(self)"
},
{
"docstring": "测试站长站点信息接口：登录用户code（工号）不存在",
"name": "test... | 4 | stack_v2_sparse_classes_30k_train_044922 | Implement the Python class `Maintain_siteinfo` described below.
Class description:
站长站点信息接口
Method signatures and docstrings:
- def siteinfo(self, userCode): 一个参数： 登录用户code（工号）：userCode
- def test_siteinfo1(self): 测试站长站点信息接口：请求参数正确
- def test_siteinfo2(self): 测试站长站点信息接口：登录用户code（工号）不存在
- def test_siteinfo3(self): 测试站... | Implement the Python class `Maintain_siteinfo` described below.
Class description:
站长站点信息接口
Method signatures and docstrings:
- def siteinfo(self, userCode): 一个参数： 登录用户code（工号）：userCode
- def test_siteinfo1(self): 测试站长站点信息接口：请求参数正确
- def test_siteinfo2(self): 测试站长站点信息接口：登录用户code（工号）不存在
- def test_siteinfo3(self): 测试站... | f581f7e3f558fa8aa69b92f99ee32c2c77afc770 | <|skeleton|>
class Maintain_siteinfo:
"""站长站点信息接口"""
def siteinfo(self, userCode):
"""一个参数： 登录用户code（工号）：userCode"""
<|body_0|>
def test_siteinfo1(self):
"""测试站长站点信息接口：请求参数正确"""
<|body_1|>
def test_siteinfo2(self):
"""测试站长站点信息接口：登录用户code（工号）不存在"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Maintain_siteinfo:
"""站长站点信息接口"""
def siteinfo(self, userCode):
"""一个参数： 登录用户code（工号）：userCode"""
ip = readConfig.ip
i_port = readConfig.i_port
url = 'http://' + ip + ':' + i_port + '/backend/capacity/maintain/siteInfo'
header = {'User-Agent': 'Mozilla/5.0 (Windows... | the_stack_v2_python_sparse | case/test_maintain_siteInfo.py | jasnPackage/zhandian_jiekou | train | 0 |
0ab62ea7287244fe54b99b9a064cc63707c803bd | [
"if geonameid == None:\n resp = jsonify({'data': [element.to_json() for element in Content.query.all()]})\n resp.status_code = 200\n return resp\nelse:\n data = Content.query.filter_by(geonameid=geonameid).first()\n if not data:\n resp = jsonify({'status': 'fail', 'message': 'geonameid not fou... | <|body_start_0|>
if geonameid == None:
resp = jsonify({'data': [element.to_json() for element in Content.query.all()]})
resp.status_code = 200
return resp
else:
data = Content.query.filter_by(geonameid=geonameid).first()
if not data:
... | Ressource pourla manipulation des données | Data | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Data:
"""Ressource pourla manipulation des données"""
def get(self, current_user, geonameid=None):
"""Gère l'accès aux données en lecture"""
<|body_0|>
def put(self, current_user, geonameid=None):
"""Ajoute des données"""
<|body_1|>
def post(self, cu... | stack_v2_sparse_classes_75kplus_train_072068 | 7,799 | no_license | [
{
"docstring": "Gère l'accès aux données en lecture",
"name": "get",
"signature": "def get(self, current_user, geonameid=None)"
},
{
"docstring": "Ajoute des données",
"name": "put",
"signature": "def put(self, current_user, geonameid=None)"
},
{
"docstring": "Modifie les données... | 4 | stack_v2_sparse_classes_30k_train_017536 | Implement the Python class `Data` described below.
Class description:
Ressource pourla manipulation des données
Method signatures and docstrings:
- def get(self, current_user, geonameid=None): Gère l'accès aux données en lecture
- def put(self, current_user, geonameid=None): Ajoute des données
- def post(self, curren... | Implement the Python class `Data` described below.
Class description:
Ressource pourla manipulation des données
Method signatures and docstrings:
- def get(self, current_user, geonameid=None): Gère l'accès aux données en lecture
- def put(self, current_user, geonameid=None): Ajoute des données
- def post(self, curren... | 3b8318e4d783d85257b5bef9a447aa55fbf38643 | <|skeleton|>
class Data:
"""Ressource pourla manipulation des données"""
def get(self, current_user, geonameid=None):
"""Gère l'accès aux données en lecture"""
<|body_0|>
def put(self, current_user, geonameid=None):
"""Ajoute des données"""
<|body_1|>
def post(self, cu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Data:
"""Ressource pourla manipulation des données"""
def get(self, current_user, geonameid=None):
"""Gère l'accès aux données en lecture"""
if geonameid == None:
resp = jsonify({'data': [element.to_json() for element in Content.query.all()]})
resp.status_code = 20... | the_stack_v2_python_sparse | backend/resources/data.py | camille-rey-taffin/projet_tecweb_1 | train | 0 |
0d60b7b8526aa669ba65b13104a262556c82576a | [
"if keys is None:\n keys = ['ymin', 'xmin', 'ymax', 'xmax']\nelif len(keys) != 4:\n raise ValueError('BoundingBox expects 4 keys but got {}'.format(len(keys)))\nself._prefix = prefix\nself._keys = keys\nself._full_keys = [prefix + k for k in keys]\nsuper(BoundingBox, self).__init__(self._full_keys)",
"sides... | <|body_start_0|>
if keys is None:
keys = ['ymin', 'xmin', 'ymax', 'xmax']
elif len(keys) != 4:
raise ValueError('BoundingBox expects 4 keys but got {}'.format(len(keys)))
self._prefix = prefix
self._keys = keys
self._full_keys = [prefix + k for k in keys]
... | An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes. | BoundingBox | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BoundingBox:
"""An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes."""
def __init__(self, keys=None, prefix=None):
"""Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix f... | stack_v2_sparse_classes_75kplus_train_072069 | 15,383 | permissive | [
{
"docstring": "Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix for each of the bounding box keys. If provided, `prefix` is appended to each key in `keys`. Raises: ValueError: if keys is not `None` and also not a list o... | 2 | stack_v2_sparse_classes_30k_val_002077 | Implement the Python class `BoundingBox` described below.
Class description:
An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.
Method signatures and docstrings:
- def __init__(self, keys=None, prefix=None): Initialize the bounding box handler. Args: keys: A list of four key names representin... | Implement the Python class `BoundingBox` described below.
Class description:
An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes.
Method signatures and docstrings:
- def __init__(self, keys=None, prefix=None): Initialize the bounding box handler. Args: keys: A list of four key names representin... | cabf6e4f1970dc14302f87414f170de19944bac2 | <|skeleton|>
class BoundingBox:
"""An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes."""
def __init__(self, keys=None, prefix=None):
"""Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BoundingBox:
"""An ItemHandler that concatenates a set of parsed Tensors to Bounding Boxes."""
def __init__(self, keys=None, prefix=None):
"""Initialize the bounding box handler. Args: keys: A list of four key names representing the ymin, xmin, ymax, mmax prefix: An optional prefix for each of th... | the_stack_v2_python_sparse | Tensorflow_OpenCV_Nightly/source/tensorflow/contrib/slim/python/slim/data/tfexample_decoder.py | ryfeus/lambda-packs | train | 1,283 |
890f860c2394aafc4cd78bae4b8ae3ba933e3ccb | [
"heapq.heapify(nodes)\nwhile len(nodes) > 1:\n left = heapq.heappop(nodes)\n right = heapq.heappop(nodes)\n node = self._merge(left, right)\n heapq.heappush(nodes, node)\nself.root = node",
"symbol = left._symbol + right._symbol\nweight = left._weight + right._weight\nnode = Node(symbol, weight, left,... | <|body_start_0|>
heapq.heapify(nodes)
while len(nodes) > 1:
left = heapq.heappop(nodes)
right = heapq.heappop(nodes)
node = self._merge(left, right)
heapq.heappush(nodes, node)
self.root = node
<|end_body_0|>
<|body_start_1|>
symbol = left... | HuffmanTree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HuffmanTree:
def build(self, nodes):
"""Build a Huffman Tree with given nodes."""
<|body_0|>
def _merge(self, left, right):
"""Merge the given two nodes and return a new one."""
<|body_1|>
def _depth(self, node):
"""Return the depth of a given no... | stack_v2_sparse_classes_75kplus_train_072070 | 2,759 | no_license | [
{
"docstring": "Build a Huffman Tree with given nodes.",
"name": "build",
"signature": "def build(self, nodes)"
},
{
"docstring": "Merge the given two nodes and return a new one.",
"name": "_merge",
"signature": "def _merge(self, left, right)"
},
{
"docstring": "Return the depth ... | 4 | stack_v2_sparse_classes_30k_train_044280 | Implement the Python class `HuffmanTree` described below.
Class description:
Implement the HuffmanTree class.
Method signatures and docstrings:
- def build(self, nodes): Build a Huffman Tree with given nodes.
- def _merge(self, left, right): Merge the given two nodes and return a new one.
- def _depth(self, node): Re... | Implement the Python class `HuffmanTree` described below.
Class description:
Implement the HuffmanTree class.
Method signatures and docstrings:
- def build(self, nodes): Build a Huffman Tree with given nodes.
- def _merge(self, left, right): Merge the given two nodes and return a new one.
- def _depth(self, node): Re... | 222ee034fe2943c2e5ee1a9e642d108b046b2f2a | <|skeleton|>
class HuffmanTree:
def build(self, nodes):
"""Build a Huffman Tree with given nodes."""
<|body_0|>
def _merge(self, left, right):
"""Merge the given two nodes and return a new one."""
<|body_1|>
def _depth(self, node):
"""Return the depth of a given no... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HuffmanTree:
def build(self, nodes):
"""Build a Huffman Tree with given nodes."""
heapq.heapify(nodes)
while len(nodes) > 1:
left = heapq.heappop(nodes)
right = heapq.heappop(nodes)
node = self._merge(left, right)
heapq.heappush(nodes, no... | the_stack_v2_python_sparse | 03 Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming/algo3assignments/Programming Assignment #3/Huffman.py | peng00bo00/Coursera-Algorithms | train | 0 | |
973e304fd5ef03b113b8f4783c71f906fe8811b6 | [
"self.sess = sess\nself.net = localNetwork\nself.global_step = global_step\nself.global_step_next = global_step_next\nself.settings = settings\nself.progbar = progbar\nself.writer = writer\nself.MODEL_PATH = MODEL_PATH\nself.saver = saver",
"while not COORD.should_stop() and self.sess.run(self.global_step) < self... | <|body_start_0|>
self.sess = sess
self.net = localNetwork
self.global_step = global_step
self.global_step_next = global_step_next
self.settings = settings
self.progbar = progbar
self.writer = writer
self.MODEL_PATH = MODEL_PATH
self.saver = saver
<... | WorkerMaster | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkerMaster:
def __init__(self, localNetwork, sess, global_step, global_step_next, settings, progbar, writer, MODEL_PATH, saver):
"""Creates a worker that is used to gather smaples to update the main network. Inputs: name - Unique name for the worker actor-critic environmnet. sess - Ses... | stack_v2_sparse_classes_75kplus_train_072071 | 29,749 | permissive | [
{
"docstring": "Creates a worker that is used to gather smaples to update the main network. Inputs: name - Unique name for the worker actor-critic environmnet. sess - Session Name globalAC - Name of the Global actor-critic which the updates are based around.",
"name": "__init__",
"signature": "def __ini... | 2 | null | Implement the Python class `WorkerMaster` described below.
Class description:
Implement the WorkerMaster class.
Method signatures and docstrings:
- def __init__(self, localNetwork, sess, global_step, global_step_next, settings, progbar, writer, MODEL_PATH, saver): Creates a worker that is used to gather smaples to up... | Implement the Python class `WorkerMaster` described below.
Class description:
Implement the WorkerMaster class.
Method signatures and docstrings:
- def __init__(self, localNetwork, sess, global_step, global_step_next, settings, progbar, writer, MODEL_PATH, saver): Creates a worker that is used to gather smaples to up... | 0e971e40e063b17918460e19728f95d7924af8db | <|skeleton|>
class WorkerMaster:
def __init__(self, localNetwork, sess, global_step, global_step_next, settings, progbar, writer, MODEL_PATH, saver):
"""Creates a worker that is used to gather smaples to update the main network. Inputs: name - Unique name for the worker actor-critic environmnet. sess - Ses... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WorkerMaster:
def __init__(self, localNetwork, sess, global_step, global_step_next, settings, progbar, writer, MODEL_PATH, saver):
"""Creates a worker that is used to gather smaples to update the main network. Inputs: name - Unique name for the worker actor-critic environmnet. sess - Session Name glob... | the_stack_v2_python_sparse | methods/Agent57.py | vanstrn/RL_public | train | 1 | |
2fcf8f3b55e12e72373ee6396d09eb29d73db305 | [
"super().__init__()\nself.cls_token = config['cls_token']\nif self.cls_token:\n self.pooling_type = 'cls'\n self.cls_param = nn.Parameter(torch.randn(config.hidden_size))\nelse:\n self.pooling_type = config['pooling_type']\nself.l1 = nn.Linear(in_features=n_features, out_features=config.hidden_size)\nself.... | <|body_start_0|>
super().__init__()
self.cls_token = config['cls_token']
if self.cls_token:
self.pooling_type = 'cls'
self.cls_param = nn.Parameter(torch.randn(config.hidden_size))
else:
self.pooling_type = config['pooling_type']
self.l1 = nn.L... | BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer. | BERT | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BERT:
"""BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer."""
def __init__(self, n_features, num_class, config):
"""pooling_type -> ["max","avg","att","cl... | stack_v2_sparse_classes_75kplus_train_072072 | 3,476 | permissive | [
{
"docstring": "pooling_type -> [\"max\",\"avg\",\"att\",\"cls\"]",
"name": "__init__",
"signature": "def __init__(self, n_features, num_class, config)"
},
{
"docstring": "Args: x (torch.Tensor): Input tensor of shape: (batch_size, T, n_features) returns: torch.Tensor: logits for classification.... | 2 | null | Implement the Python class `BERT` described below.
Class description:
BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer.
Method signatures and docstrings:
- def __init__(self, n_features, n... | Implement the Python class `BERT` described below.
Class description:
BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer.
Method signatures and docstrings:
- def __init__(self, n_features, n... | b9ccf9eaf2a71301fc4601a64a6af06fdef04c9b | <|skeleton|>
class BERT:
"""BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer."""
def __init__(self, n_features, num_class, config):
"""pooling_type -> ["max","avg","att","cl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BERT:
"""BERT decoder module. Args: n_features (int): Number of features in the input. num_class (int): Number of class for classification. config (dict): Configuration set for BERT layer."""
def __init__(self, n_features, num_class, config):
"""pooling_type -> ["max","avg","att","cls"]"""
... | the_stack_v2_python_sparse | openhands/models/decoder/bert_hf.py | AI4Bharat/OpenHands | train | 73 |
d6c1dbb26e8c7a51be805bcc464623902acc146d | [
"self.hosts = []\nself.host_urls = []\nself.patterns = []\nself.hosts.append(rapidshare_com())\nself.hosts.append(hotfile_com())\nself.hosts.append(fileserve_com())\nself.hosts.append(wupload_com())\nself.hosts.append(oron_com())\nself.hosts.append(easy_share_com())\nfor host in self.hosts:\n host.init()\n se... | <|body_start_0|>
self.hosts = []
self.host_urls = []
self.patterns = []
self.hosts.append(rapidshare_com())
self.hosts.append(hotfile_com())
self.hosts.append(fileserve_com())
self.hosts.append(wupload_com())
self.hosts.append(oron_com())
self.host... | linkchecker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class linkchecker:
def __init__(self):
"""Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions"""
<|body_0|>
def parse(self, text):
"""Parses the text and returns a list of links."""
<|body_1|>
def check(self... | stack_v2_sparse_classes_75kplus_train_072073 | 1,797 | no_license | [
{
"docstring": "Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Parses the text and returns a list of links.",
"name": "parse",
"signature": "def parse(self... | 3 | stack_v2_sparse_classes_30k_test_001953 | Implement the Python class `linkchecker` described below.
Class description:
Implement the linkchecker class.
Method signatures and docstrings:
- def __init__(self): Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions
- def parse(self, text): Parses the text and re... | Implement the Python class `linkchecker` described below.
Class description:
Implement the linkchecker class.
Method signatures and docstrings:
- def __init__(self): Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions
- def parse(self, text): Parses the text and re... | 7c1a97c9f5bc8c246315737489db7e60c0135a1d | <|skeleton|>
class linkchecker:
def __init__(self):
"""Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions"""
<|body_0|>
def parse(self, text):
"""Parses the text and returns a list of links."""
<|body_1|>
def check(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class linkchecker:
def __init__(self):
"""Initialize the link checker. This will load all of the hosts, and compile all of the regular expressions"""
self.hosts = []
self.host_urls = []
self.patterns = []
self.hosts.append(rapidshare_com())
self.hosts.append(hotfile_c... | the_stack_v2_python_sparse | linkchecker.py | bheesham/PyLinkChecker | train | 2 | |
56707e053eb99c55a1d3ff79d03f75e669f887c8 | [
"if 'title' not in validated_data:\n raise ValidationError({'title': ['This field is required.']})\nquestion = Question.create(validated_data['title'], validated_data['user'], keywords=validated_data.get('keywords', None))\nif 'answer' in validated_data and validated_data['answer'] != '':\n Answer.create(vali... | <|body_start_0|>
if 'title' not in validated_data:
raise ValidationError({'title': ['This field is required.']})
question = Question.create(validated_data['title'], validated_data['user'], keywords=validated_data.get('keywords', None))
if 'answer' in validated_data and validated_data... | Serialize question | QuestionSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionSerializer:
"""Serialize question"""
def create(self, validated_data):
"""Create new question from validated_data"""
<|body_0|>
def update(self, instance, validated_data):
"""Update existing question by validated_data"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus_train_072074 | 7,932 | no_license | [
{
"docstring": "Create new question from validated_data",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update existing question by validated_data",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038119 | Implement the Python class `QuestionSerializer` described below.
Class description:
Serialize question
Method signatures and docstrings:
- def create(self, validated_data): Create new question from validated_data
- def update(self, instance, validated_data): Update existing question by validated_data | Implement the Python class `QuestionSerializer` described below.
Class description:
Serialize question
Method signatures and docstrings:
- def create(self, validated_data): Create new question from validated_data
- def update(self, instance, validated_data): Update existing question by validated_data
<|skeleton|>
cl... | 670752a3b48619eeba2fa9f2cf133e6050737a73 | <|skeleton|>
class QuestionSerializer:
"""Serialize question"""
def create(self, validated_data):
"""Create new question from validated_data"""
<|body_0|>
def update(self, instance, validated_data):
"""Update existing question by validated_data"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuestionSerializer:
"""Serialize question"""
def create(self, validated_data):
"""Create new question from validated_data"""
if 'title' not in validated_data:
raise ValidationError({'title': ['This field is required.']})
question = Question.create(validated_data['title... | the_stack_v2_python_sparse | controller/src/api/serializers.py | Sapunov/qua | train | 1 |
aef4684aa0a78c136e357c62ad0a1623a244d660 | [
"with tables(db.engine, 'vcfs') as (con, runs):\n q = select(runs.c).order_by(desc(runs.c.id))\n return [dict(r) for r in q.execute().fetchall()]",
"run = request.validated_body\ntry:\n expect_one_of(request.validated_body, 'project_name', 'project_id')\nexcept voluptuous.MultipleInvalid as e:\n error... | <|body_start_0|>
with tables(db.engine, 'vcfs') as (con, runs):
q = select(runs.c).order_by(desc(runs.c.id))
return [dict(r) for r in q.execute().fetchall()]
<|end_body_0|>
<|body_start_1|>
run = request.validated_body
try:
expect_one_of(request.validated_bod... | RunList | [
"Apache-2.0",
"CC-BY-3.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunList:
def get(self):
"""Get list of all runs in order of recency."""
<|body_0|>
def post(self):
"""Create a new run. This will import the VCF's genotypes into the database in a worker, as well as annotate it with gene names."""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_75kplus_train_072075 | 7,342 | permissive | [
{
"docstring": "Get list of all runs in order of recency.",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Create a new run. This will import the VCF's genotypes into the database in a worker, as well as annotate it with gene names.",
"name": "post",
"signature": "def pos... | 2 | stack_v2_sparse_classes_30k_train_039085 | Implement the Python class `RunList` described below.
Class description:
Implement the RunList class.
Method signatures and docstrings:
- def get(self): Get list of all runs in order of recency.
- def post(self): Create a new run. This will import the VCF's genotypes into the database in a worker, as well as annotate... | Implement the Python class `RunList` described below.
Class description:
Implement the RunList class.
Method signatures and docstrings:
- def get(self): Get list of all runs in order of recency.
- def post(self): Create a new run. This will import the VCF's genotypes into the database in a worker, as well as annotate... | a436c4fc212e4429fb5196a9a4d36c37bd050c52 | <|skeleton|>
class RunList:
def get(self):
"""Get list of all runs in order of recency."""
<|body_0|>
def post(self):
"""Create a new run. This will import the VCF's genotypes into the database in a worker, as well as annotate it with gene names."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RunList:
def get(self):
"""Get list of all runs in order of recency."""
with tables(db.engine, 'vcfs') as (con, runs):
q = select(runs.c).order_by(desc(runs.c.id))
return [dict(r) for r in q.execute().fetchall()]
def post(self):
"""Create a new run. This wi... | the_stack_v2_python_sparse | cycledash/api/runs.py | haoziyeung/cycledash | train | 0 | |
2822258ad3dccb64dc073fe6e0f7bf4607e5c595 | [
"context = super().get_context_data(**kwargs)\ncontext['sidenav_band'] = 'sidenav_band'\nreturn context",
"band = form.save(commit=False)\nband.updated_by = self.request.user\nband.updated_at = timezone.now()\nband.save()\nmessages.success(self.request, ' Les données du groupe ont été mises à jour ! ')\nreturn re... | <|body_start_0|>
context = super().get_context_data(**kwargs)
context['sidenav_band'] = 'sidenav_band'
return context
<|end_body_0|>
<|body_start_1|>
band = form.save(commit=False)
band.updated_by = self.request.user
band.updated_at = timezone.now()
band.save()
... | BandUpdateView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BandUpdateView:
def get_context_data(self, **kwargs):
"""To launch sidenav band"""
<|body_0|>
def form_valid(self, form):
"""to track the user who does the update for history page"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
context = super().get... | stack_v2_sparse_classes_75kplus_train_072076 | 8,151 | no_license | [
{
"docstring": "To launch sidenav band",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "to track the user who does the update for history page",
"name": "form_valid",
"signature": "def form_valid(self, form)"
}
] | 2 | null | Implement the Python class `BandUpdateView` described below.
Class description:
Implement the BandUpdateView class.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): To launch sidenav band
- def form_valid(self, form): to track the user who does the update for history page | Implement the Python class `BandUpdateView` described below.
Class description:
Implement the BandUpdateView class.
Method signatures and docstrings:
- def get_context_data(self, **kwargs): To launch sidenav band
- def form_valid(self, form): to track the user who does the update for history page
<|skeleton|>
class ... | 05c0f6a6f8d0941e638f46827e4f1d444710835a | <|skeleton|>
class BandUpdateView:
def get_context_data(self, **kwargs):
"""To launch sidenav band"""
<|body_0|>
def form_valid(self, form):
"""to track the user who does the update for history page"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BandUpdateView:
def get_context_data(self, **kwargs):
"""To launch sidenav band"""
context = super().get_context_data(**kwargs)
context['sidenav_band'] = 'sidenav_band'
return context
def form_valid(self, form):
"""to track the user who does the update for history ... | the_stack_v2_python_sparse | band/views.py | horlas/MyFirstBand | train | 0 | |
22c8885b8c2db9ce65e0d8454cb7fd7a7ab4ad18 | [
"self.dgate_shape = dgate.get('shape')\nself.dgate_dtype = dgate.get('dtype')\nself.w_shape = input_weight.get('shape')\nself.w_dtype = input_weight.get('dtype')\nif dropout_mask:\n self.dropout_mask_shape = dropout_mask.get('shape')\n self.dropout_mask_dtype = dropout_mask.get('dtype')\nelse:\n self.dropo... | <|body_start_0|>
self.dgate_shape = dgate.get('shape')
self.dgate_dtype = dgate.get('dtype')
self.w_shape = input_weight.get('shape')
self.w_dtype = input_weight.get('dtype')
if dropout_mask:
self.dropout_mask_shape = dropout_mask.get('shape')
self.dropout... | Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28 | LstmCellGradInput | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LstmCellGradInput:
"""Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28"""
def __init__(self, dgate, input_weight, dropout_mask, dxt, dht, keep_prob, kernel_name):
"""init LstmCellGradInput base parameters Parameters ---------- dgate: dict the gradient of fou... | stack_v2_sparse_classes_75kplus_train_072077 | 19,409 | no_license | [
{
"docstring": "init LstmCellGradInput base parameters Parameters ---------- dgate: dict the gradient of four gate input_weight: dict weight dropout_mask: dict the mask of dropout keep_prob: dict the keep prob kernel_name: str op kernel name Returns ------- None",
"name": "__init__",
"signature": "def _... | 3 | stack_v2_sparse_classes_30k_train_008557 | Implement the Python class `LstmCellGradInput` described below.
Class description:
Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28
Method signatures and docstrings:
- def __init__(self, dgate, input_weight, dropout_mask, dxt, dht, keep_prob, kernel_name): init LstmCellGradInput base paramet... | Implement the Python class `LstmCellGradInput` described below.
Class description:
Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28
Method signatures and docstrings:
- def __init__(self, dgate, input_weight, dropout_mask, dxt, dht, keep_prob, kernel_name): init LstmCellGradInput base paramet... | 148511a31bfd195df889291946c43bb585acb546 | <|skeleton|>
class LstmCellGradInput:
"""Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28"""
def __init__(self, dgate, input_weight, dropout_mask, dxt, dht, keep_prob, kernel_name):
"""init LstmCellGradInput base parameters Parameters ---------- dgate: dict the gradient of fou... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LstmCellGradInput:
"""Class: use to store LstmCellGradInput input parameters Modify : 2019-12-28"""
def __init__(self, dgate, input_weight, dropout_mask, dxt, dht, keep_prob, kernel_name):
"""init LstmCellGradInput base parameters Parameters ---------- dgate: dict the gradient of four gate input_... | the_stack_v2_python_sparse | convertor/huawei/impl/basic_lstm_cell_input_grad.py | jizhuoran/caffe-huawei-atlas-convertor | train | 4 |
ae279c9d675ba8797d58e5186309fcd1c49d400a | [
"super(BaseComponent, self).__init__()\ninput_dict = {standard_component_specs.VIZ_CONFUSION_MATRIX_DICT: confusion_matrix_dict, standard_component_specs.VIZ_TEST_ACCURACY: test_accuracy, standard_component_specs.VIZ_MARKDOWN: markdown}\noutput_dict = {}\nexec_properties = {standard_component_specs.VIZ_MLPIPELINE_U... | <|body_start_0|>
super(BaseComponent, self).__init__()
input_dict = {standard_component_specs.VIZ_CONFUSION_MATRIX_DICT: confusion_matrix_dict, standard_component_specs.VIZ_TEST_ACCURACY: test_accuracy, standard_component_specs.VIZ_MARKDOWN: markdown}
output_dict = {}
exec_properties = {... | Visualization Component Class. | Visualization | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Visualization:
"""Visualization Component Class."""
def __init__(self, mlpipeline_ui_metadata=None, mlpipeline_metrics=None, confusion_matrix_dict=None, test_accuracy=None, markdown=None):
"""Initializes the Visualization component. Args: mlpipeline_ui_metadata : path to save ui meta... | stack_v2_sparse_classes_75kplus_train_072078 | 3,977 | permissive | [
{
"docstring": "Initializes the Visualization component. Args: mlpipeline_ui_metadata : path to save ui metadata mlpipeline_metrics : metrics to be uploaded confusion_metrics_dict : dict for the confusion metrics test_accuracy : test accuracy of the model markdown : markdown dictionary",
"name": "__init__",... | 3 | stack_v2_sparse_classes_30k_train_021891 | Implement the Python class `Visualization` described below.
Class description:
Visualization Component Class.
Method signatures and docstrings:
- def __init__(self, mlpipeline_ui_metadata=None, mlpipeline_metrics=None, confusion_matrix_dict=None, test_accuracy=None, markdown=None): Initializes the Visualization compo... | Implement the Python class `Visualization` described below.
Class description:
Visualization Component Class.
Method signatures and docstrings:
- def __init__(self, mlpipeline_ui_metadata=None, mlpipeline_metrics=None, confusion_matrix_dict=None, test_accuracy=None, markdown=None): Initializes the Visualization compo... | 3fb199658f68e7debf4906d9ce32a9a307e39243 | <|skeleton|>
class Visualization:
"""Visualization Component Class."""
def __init__(self, mlpipeline_ui_metadata=None, mlpipeline_metrics=None, confusion_matrix_dict=None, test_accuracy=None, markdown=None):
"""Initializes the Visualization component. Args: mlpipeline_ui_metadata : path to save ui meta... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Visualization:
"""Visualization Component Class."""
def __init__(self, mlpipeline_ui_metadata=None, mlpipeline_metrics=None, confusion_matrix_dict=None, test_accuracy=None, markdown=None):
"""Initializes the Visualization component. Args: mlpipeline_ui_metadata : path to save ui metadata mlpipeli... | the_stack_v2_python_sparse | components/PyTorch/pytorch-kfp-components/pytorch_kfp_components/components/visualization/component.py | kubeflow/pipelines | train | 3,434 |
2a0f4c5cb475a8861c8564158531d8a211415176 | [
"paginator = client.get_paginator('describe_load_balancers')\nload_balancers = {}\nfor resp in paginator.paginate():\n for lb in resp.get('LoadBalancers', []):\n resource_arn = lb['LoadBalancerArn']\n try:\n lb_attrs = cls.get_lb_attrs(client, resource_arn)\n lb.update(lb_attr... | <|body_start_0|>
paginator = client.get_paginator('describe_load_balancers')
load_balancers = {}
for resp in paginator.paginate():
for lb in resp.get('LoadBalancers', []):
resource_arn = lb['LoadBalancerArn']
try:
lb_attrs = cls.get... | Resource for load balancer | LoadBalancerResourceSpec | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoadBalancerResourceSpec:
"""Resource for load balancer"""
def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: str, region: str) -> ListFromAWSResult:
"""Return a dict of dicts of the format: {'lb_1_arn': {lb_1_dict}, 'lb_2_arn': {lb_2_dict}, ...}... | stack_v2_sparse_classes_75kplus_train_072079 | 4,379 | permissive | [
{
"docstring": "Return a dict of dicts of the format: {'lb_1_arn': {lb_1_dict}, 'lb_2_arn': {lb_2_dict}, ...} Where the dicts represent results from describe_load_balancers.",
"name": "list_from_aws",
"signature": "def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: ... | 2 | stack_v2_sparse_classes_30k_train_040123 | Implement the Python class `LoadBalancerResourceSpec` described below.
Class description:
Resource for load balancer
Method signatures and docstrings:
- def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: str, region: str) -> ListFromAWSResult: Return a dict of dicts of the format... | Implement the Python class `LoadBalancerResourceSpec` described below.
Class description:
Resource for load balancer
Method signatures and docstrings:
- def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: str, region: str) -> ListFromAWSResult: Return a dict of dicts of the format... | eb7d5d18f3d177973c4105c21be9d251250ca8d6 | <|skeleton|>
class LoadBalancerResourceSpec:
"""Resource for load balancer"""
def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: str, region: str) -> ListFromAWSResult:
"""Return a dict of dicts of the format: {'lb_1_arn': {lb_1_dict}, 'lb_2_arn': {lb_2_dict}, ...}... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoadBalancerResourceSpec:
"""Resource for load balancer"""
def list_from_aws(cls: Type['LoadBalancerResourceSpec'], client: BaseClient, account_id: str, region: str) -> ListFromAWSResult:
"""Return a dict of dicts of the format: {'lb_1_arn': {lb_1_dict}, 'lb_2_arn': {lb_2_dict}, ...} Where the di... | the_stack_v2_python_sparse | altimeter/aws/resource/elbv2/load_balancer.py | tableau/altimeter | train | 75 |
d67c0d08824077f711ed373145700a33fa62b0a6 | [
"self.size = capacity\nself.map = {}\nself.list = DoubleLinkedList()\nself.count = 0",
"if key in self.map:\n self.list.deleteNode(self.map[key])\n self.list.insert(self.map[key])\n return self.map[key].val\nreturn -1",
"if key in self.map:\n self.list.deleteNode(self.map[key])\n del self.map[key... | <|body_start_0|>
self.size = capacity
self.map = {}
self.list = DoubleLinkedList()
self.count = 0
<|end_body_0|>
<|body_start_1|>
if key in self.map:
self.list.deleteNode(self.map[key])
self.list.insert(self.map[key])
return self.map[key].val
... | 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_072080 | 1,958 | 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 | null | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: 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... | e5ab6f55bec17fe19c34891a835bc091f1e3f8bc | <|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.size = capacity
self.map = {}
self.list = DoubleLinkedList()
self.count = 0
def get(self, key):
""":type key: int :rtype: int"""
if key in self.map:
self.list.deleteN... | the_stack_v2_python_sparse | LRUCache/LRU_Cache_DoublyLinkedList.py | girishgupta211/algorithms | train | 1 | |
fe72523285a44710ad3cf91c7d8a08c4c54dc432 | [
"from collections import OrderedDict\nself.container = OrderedDict()\nself.limit = capacity",
"if key not in self.container:\n return -1\nval = self.container[key] = self.container.pop(key)\nreturn val",
"if key in self.container:\n self.container.pop(key)\nelif len(self.container) == self.limit:\n sel... | <|body_start_0|>
from collections import OrderedDict
self.container = OrderedDict()
self.limit = capacity
<|end_body_0|>
<|body_start_1|>
if key not in self.container:
return -1
val = self.container[key] = self.container.pop(key)
return val
<|end_body_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_072081 | 1,074 | 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_050272 | 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... | cd998e5fdb7d2d5b03ef1d65f30b140be4de6fb9 | <|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"""
from collections import OrderedDict
self.container = OrderedDict()
self.limit = capacity
def get(self, key):
""":type key: int :rtype: int"""
if key not in self.container:
return ... | the_stack_v2_python_sparse | Week4_Day24_LRU_Cache.py | zecookiez/30-Day-LeetCoding-Challenge | train | 3 | |
809fd1e2a96d786edd4aa2f720e6f4f099e5a623 | [
"self.a = np.array(list(product(range(-32, 33, 16), range(-32, 33, 16))))\nself.min = np.array([0.0, 0.0])\nself.value = 0.0\nself.domain = np.array([[-65.536, 65.536], [-65.536, 65.536]])\nself.n = 2\nself.smooth = True\nself.info = [True, False, False]\nself.latex_name = 'De Jong No. 5'\nself.latex_type = 'Steep'... | <|body_start_0|>
self.a = np.array(list(product(range(-32, 33, 16), range(-32, 33, 16))))
self.min = np.array([0.0, 0.0])
self.value = 0.0
self.domain = np.array([[-65.536, 65.536], [-65.536, 65.536]])
self.n = 2
self.smooth = True
self.info = [True, False, False]... | De Jong No. 5 Function. | DeJong5 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeJong5:
"""De Jong No. 5 Function."""
def __init__(self):
"""Constructor."""
<|body_0|>
def cost(self, x):
"""Cost function."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.a = np.array(list(product(range(-32, 33, 16), range(-32, 33, 16)))... | stack_v2_sparse_classes_75kplus_train_072082 | 1,249 | no_license | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Cost function.",
"name": "cost",
"signature": "def cost(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013462 | Implement the Python class `DeJong5` described below.
Class description:
De Jong No. 5 Function.
Method signatures and docstrings:
- def __init__(self): Constructor.
- def cost(self, x): Cost function. | Implement the Python class `DeJong5` described below.
Class description:
De Jong No. 5 Function.
Method signatures and docstrings:
- def __init__(self): Constructor.
- def cost(self, x): Cost function.
<|skeleton|>
class DeJong5:
"""De Jong No. 5 Function."""
def __init__(self):
"""Constructor."""
... | f2a74df3ab01ac35ea8d80569da909ffa1e86af3 | <|skeleton|>
class DeJong5:
"""De Jong No. 5 Function."""
def __init__(self):
"""Constructor."""
<|body_0|>
def cost(self, x):
"""Cost function."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DeJong5:
"""De Jong No. 5 Function."""
def __init__(self):
"""Constructor."""
self.a = np.array(list(product(range(-32, 33, 16), range(-32, 33, 16))))
self.min = np.array([0.0, 0.0])
self.value = 0.0
self.domain = np.array([[-65.536, 65.536], [-65.536, 65.536]])
... | the_stack_v2_python_sparse | ctf/functions2d/de_jong_5.py | cntaylor/ctf | train | 1 |
77083dd974c78be3daf2458088c7adc21127226c | [
"scaled = self.sun * scale + self.bbn * (1 - scale)\nif scale > 1.0:\n jj, = np.argwhere(scaled.iso == isotope.ion('He4'))\n bbn = self.sun * 0 + self.bbn\n for j in np.argwhere(scaled.abu < self.sun.abu).flat:\n scaled.abu[jj] += scaled.abu[j]\n scaled.abu[j] = self.sun.abu[j] * np.exp((scal... | <|body_start_0|>
scaled = self.sun * scale + self.bbn * (1 - scale)
if scale > 1.0:
jj, = np.argwhere(scaled.iso == isotope.ion('He4'))
bbn = self.sun * 0 + self.bbn
for j in np.argwhere(scaled.abu < self.sun.abu).flat:
scaled.abu[jj] += scaled.abu[j]
... | Special abundance set created from scaled solar abundance set. | ScaledSolar | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScaledSolar:
"""Special abundance set created from scaled solar abundance set."""
def _abu_massfrac_raw(self, scale):
"""Raw scaled solar abundances"""
<|body_0|>
def __init__(self, scale=1, Z=None, **kw):
"""Create abundance from set name. Use simple algorithm: ... | stack_v2_sparse_classes_75kplus_train_072083 | 14,741 | permissive | [
{
"docstring": "Raw scaled solar abundances",
"name": "_abu_massfrac_raw",
"signature": "def _abu_massfrac_raw(self, scale)"
},
{
"docstring": "Create abundance from set name. Use simple algorithm: X = X_sun * scale + X_BBN * (1 - scale) If Z is provided, overwrite scale by Z/Zsun. For stuff tha... | 2 | stack_v2_sparse_classes_30k_train_016899 | Implement the Python class `ScaledSolar` described below.
Class description:
Special abundance set created from scaled solar abundance set.
Method signatures and docstrings:
- def _abu_massfrac_raw(self, scale): Raw scaled solar abundances
- def __init__(self, scale=1, Z=None, **kw): Create abundance from set name. U... | Implement the Python class `ScaledSolar` described below.
Class description:
Special abundance set created from scaled solar abundance set.
Method signatures and docstrings:
- def _abu_massfrac_raw(self, scale): Raw scaled solar abundances
- def __init__(self, scale=1, Z=None, **kw): Create abundance from set name. U... | 98fc181bab054619d12ffa4173ad5c469803c2ec | <|skeleton|>
class ScaledSolar:
"""Special abundance set created from scaled solar abundance set."""
def _abu_massfrac_raw(self, scale):
"""Raw scaled solar abundances"""
<|body_0|>
def __init__(self, scale=1, Z=None, **kw):
"""Create abundance from set name. Use simple algorithm: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScaledSolar:
"""Special abundance set created from scaled solar abundance set."""
def _abu_massfrac_raw(self, scale):
"""Raw scaled solar abundances"""
scaled = self.sun * scale + self.bbn * (1 - scale)
if scale > 1.0:
jj, = np.argwhere(scaled.iso == isotope.ion('He4')... | the_stack_v2_python_sparse | kepler_python_packages/python_scripts/abusets.py | adam-m-jcbs/xrb-sens-datashare | train | 1 |
fdd8aab538aa0ece5ef5adcf2b84f8669dbc69b8 | [
"self.num_points = num_points\n'Generate list of data starting from 0'\nself.x_axis = [0]\nself.y_axis = [0]",
"\"\"\"Keep the loop until we have 5000 walking points\"\"\"\nwhile len(self.x_axis) <= self.num_points:\n x_side = choice([1, -1])\n x_range = choice([0, 1, 2, 3, 4])\n x_step = x_side * x_rang... | <|body_start_0|>
self.num_points = num_points
'Generate list of data starting from 0'
self.x_axis = [0]
self.y_axis = [0]
<|end_body_0|>
<|body_start_1|>
"""Keep the loop until we have 5000 walking points"""
while len(self.x_axis) <= self.num_points:
x_side =... | A class to generate random walk | RandomWalk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomWalk:
"""A class to generate random walk"""
def __init__(self, num_points=5000):
"""Initiate some of the variables"""
<|body_0|>
def fill_walk(self):
"""Calculate all the points in the walk"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
s... | stack_v2_sparse_classes_75kplus_train_072084 | 1,500 | no_license | [
{
"docstring": "Initiate some of the variables",
"name": "__init__",
"signature": "def __init__(self, num_points=5000)"
},
{
"docstring": "Calculate all the points in the walk",
"name": "fill_walk",
"signature": "def fill_walk(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_040906 | Implement the Python class `RandomWalk` described below.
Class description:
A class to generate random walk
Method signatures and docstrings:
- def __init__(self, num_points=5000): Initiate some of the variables
- def fill_walk(self): Calculate all the points in the walk | Implement the Python class `RandomWalk` described below.
Class description:
A class to generate random walk
Method signatures and docstrings:
- def __init__(self, num_points=5000): Initiate some of the variables
- def fill_walk(self): Calculate all the points in the walk
<|skeleton|>
class RandomWalk:
"""A class... | 0714c7f50e842e6fb0095695dde5f68cefe87ede | <|skeleton|>
class RandomWalk:
"""A class to generate random walk"""
def __init__(self, num_points=5000):
"""Initiate some of the variables"""
<|body_0|>
def fill_walk(self):
"""Calculate all the points in the walk"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomWalk:
"""A class to generate random walk"""
def __init__(self, num_points=5000):
"""Initiate some of the variables"""
self.num_points = num_points
'Generate list of data starting from 0'
self.x_axis = [0]
self.y_axis = [0]
def fill_walk(self):
""... | the_stack_v2_python_sparse | Script1/randomWalk.py | DrakeChow3/Stupid-stuff | train | 0 |
21c703ebdc5d1bfac40c91a1982bcf23150bb7fb | [
"assert isinstance(code, str), 'Invalid code %s' % code\nassert isinstance(isSuccess, bool), 'Invalid success flag %s' % isSuccess\nself.code = code\nself.isSuccess = isSuccess",
"assert isinstance(context, Coded), 'Invalid context %s' % context\ncontext.code = self.code\ncontext.isSuccess = self.isSuccess"
] | <|body_start_0|>
assert isinstance(code, str), 'Invalid code %s' % code
assert isinstance(isSuccess, bool), 'Invalid success flag %s' % isSuccess
self.code = code
self.isSuccess = isSuccess
<|end_body_0|>
<|body_start_1|>
assert isinstance(context, Coded), 'Invalid context %s' %... | Contains the response code. | Code | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Code:
"""Contains the response code."""
def __init__(self, code, isSuccess):
"""Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail or success code."""
<|body_0|>
def set(self,... | stack_v2_sparse_classes_75kplus_train_072085 | 2,468 | no_license | [
{
"docstring": "Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail or success code.",
"name": "__init__",
"signature": "def __init__(self, code, isSuccess)"
},
{
"docstring": "Set the code on the prov... | 2 | stack_v2_sparse_classes_30k_train_045134 | Implement the Python class `Code` described below.
Class description:
Contains the response code.
Method signatures and docstrings:
- def __init__(self, code, isSuccess): Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail ... | Implement the Python class `Code` described below.
Class description:
Contains the response code.
Method signatures and docstrings:
- def __init__(self, code, isSuccess): Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail ... | e0b3466b34d31548996d57be4a9dac134d904380 | <|skeleton|>
class Code:
"""Contains the response code."""
def __init__(self, code, isSuccess):
"""Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail or success code."""
<|body_0|>
def set(self,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Code:
"""Contains the response code."""
def __init__(self, code, isSuccess):
"""Constructs the code. @param code: string The code text corresponding to this code. @param isSuccess: boolean Flag indicating if the code is a fail or success code."""
assert isinstance(code, str), 'Invalid cod... | the_stack_v2_python_sparse | components/ally-core/ally/core/spec/codes.py | cristidomsa/Ally-Py | train | 0 |
1fda2c26cdc871a51ae395fe9811437846a40b28 | [
"skeinforge_profile.addListsToCraftTypeRepository('skeinforge_application.skeinforge_plugins.craft_plugins.speed.html', self)\nself.fileNameInput = settings.FileNameInput().getFromFileName(fabmetheus_interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Speed', self, '')\nself.openWikiManualHelpPage = set... | <|body_start_0|>
skeinforge_profile.addListsToCraftTypeRepository('skeinforge_application.skeinforge_plugins.craft_plugins.speed.html', self)
self.fileNameInput = settings.FileNameInput().getFromFileName(fabmetheus_interpret.getGNUTranslatorGcodeFileTypeTuples(), 'Open File for Speed', self, '')
... | A class to handle the speed settings. | SpeedRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpeedRepository:
"""A class to handle the speed settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Speed button has been clicked."""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_072086 | 13,492 | no_license | [
{
"docstring": "Set the default settings, execute title & settings fileName.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Speed button has been clicked.",
"name": "execute",
"signature": "def execute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_029657 | Implement the Python class `SpeedRepository` described below.
Class description:
A class to handle the speed settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Speed button has been clicked. | Implement the Python class `SpeedRepository` described below.
Class description:
A class to handle the speed settings.
Method signatures and docstrings:
- def __init__(self): Set the default settings, execute title & settings fileName.
- def execute(self): Speed button has been clicked.
<|skeleton|>
class SpeedRepos... | c1b00a76f1550df2cbb457248205159e51fd4308 | <|skeleton|>
class SpeedRepository:
"""A class to handle the speed settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
<|body_0|>
def execute(self):
"""Speed button has been clicked."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpeedRepository:
"""A class to handle the speed settings."""
def __init__(self):
"""Set the default settings, execute title & settings fileName."""
skeinforge_profile.addListsToCraftTypeRepository('skeinforge_application.skeinforge_plugins.craft_plugins.speed.html', self)
self.fil... | the_stack_v2_python_sparse | skeinforge_application/skeinforge_plugins/craft_plugins/speed.py | amsler/skeinforge | train | 10 |
87400f0b889db400d6b567e4d6a87240b59e270d | [
"if not isinstance(stage, (encoding_stage.EncodingStageInterface, encoding_stage.AdaptiveEncodingStageInterface)):\n raise TypeError('The input argument is %s but must be an instance of EncodingStageInterface or of AdaptiveEncodingStageInterface' % type(stage))\nself._stage = stage\nself._children = {}\nsuper(En... | <|body_start_0|>
if not isinstance(stage, (encoding_stage.EncodingStageInterface, encoding_stage.AdaptiveEncodingStageInterface)):
raise TypeError('The input argument is %s but must be an instance of EncodingStageInterface or of AdaptiveEncodingStageInterface' % type(stage))
self._stage = st... | Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method converts this object to an `Encoder`, which e... | EncoderComposer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method co... | stack_v2_sparse_classes_75kplus_train_072087 | 26,759 | permissive | [
{
"docstring": "Constructor for the `EncoderComposer`. Args: stage: An `EncodingStageInterface` or an `AdaptiveEncodingStageInterface`.",
"name": "__init__",
"signature": "def __init__(self, stage)"
},
{
"docstring": "Adds a child node. Args: stage: An `EncodingStageInterface` or an `AdaptiveEnc... | 4 | stack_v2_sparse_classes_30k_train_032613 | Implement the Python class `EncoderComposer` described below.
Class description:
Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be ... | Implement the Python class `EncoderComposer` described below.
Class description:
Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be ... | 4733c85f21d1eb570fd575ea201cb211a485bfb0 | <|skeleton|>
class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method co... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderComposer:
"""Class for composing and creating `Encoder`. This class is a utility for separating the creation of the `Encoder` from its intended functionality. Each instance of `EncoderComposer` corresponds to a node in a tree of encoding stages to be used for encoding. The `make` method converts this o... | the_stack_v2_python_sparse | tensorflow_model_optimization/python/core/internal/tensor_encoding/core/core_encoder.py | tensorflow/model-optimization | train | 1,550 |
ac5cddcdd3ecb4888504c235c14fadcd0a79de9a | [
"ret = await self.db.grids.find(projection={'_id': False}).to_list(1000)\nself.write({row['grid_id']: row for row in ret})\nself.finish()",
"data = json.loads(self.request.body)\nreq_fields = {'host': str, 'queues': dict, 'version': str}\nfor k in req_fields:\n if k not in data:\n raise tornado.web.HTTP... | <|body_start_0|>
ret = await self.db.grids.find(projection={'_id': False}).to_list(1000)
self.write({row['grid_id']: row for row in ret})
self.finish()
<|end_body_0|>
<|body_start_1|>
data = json.loads(self.request.body)
req_fields = {'host': str, 'queues': dict, 'version': str}... | Handle multi grids requests. | MultiGridsHandler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiGridsHandler:
"""Handle multi grids requests."""
async def get(self):
"""Get grid entries. Returns: dict: {'uuid': {grid_data}}"""
<|body_0|>
async def post(self):
"""Create a grid entry. Body should contain the grid data. Returns: dict: {'result': <grid_id>... | stack_v2_sparse_classes_75kplus_train_072088 | 3,804 | permissive | [
{
"docstring": "Get grid entries. Returns: dict: {'uuid': {grid_data}}",
"name": "get",
"signature": "async def get(self)"
},
{
"docstring": "Create a grid entry. Body should contain the grid data. Returns: dict: {'result': <grid_id>}",
"name": "post",
"signature": "async def post(self)"... | 2 | stack_v2_sparse_classes_30k_train_000540 | Implement the Python class `MultiGridsHandler` described below.
Class description:
Handle multi grids requests.
Method signatures and docstrings:
- async def get(self): Get grid entries. Returns: dict: {'uuid': {grid_data}}
- async def post(self): Create a grid entry. Body should contain the grid data. Returns: dict:... | Implement the Python class `MultiGridsHandler` described below.
Class description:
Handle multi grids requests.
Method signatures and docstrings:
- async def get(self): Get grid entries. Returns: dict: {'uuid': {grid_data}}
- async def post(self): Create a grid entry. Body should contain the grid data. Returns: dict:... | b66c35bb1072f835bc84ea01fce169989323c4b9 | <|skeleton|>
class MultiGridsHandler:
"""Handle multi grids requests."""
async def get(self):
"""Get grid entries. Returns: dict: {'uuid': {grid_data}}"""
<|body_0|>
async def post(self):
"""Create a grid entry. Body should contain the grid data. Returns: dict: {'result': <grid_id>... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MultiGridsHandler:
"""Handle multi grids requests."""
async def get(self):
"""Get grid entries. Returns: dict: {'uuid': {grid_data}}"""
ret = await self.db.grids.find(projection={'_id': False}).to_list(1000)
self.write({row['grid_id']: row for row in ret})
self.finish()
... | the_stack_v2_python_sparse | iceprod/rest/handlers/grids.py | WIPACrepo/iceprod | train | 5 |
d588aa76e6abacd044c38036a98d0974d9634855 | [
"def dfs(target):\n if target == 0:\n self.ans += 1\n for i in range(len(nums)):\n if nums[i] <= target:\n dfs(target - nums[i])\nnums.sort()\nself.ans = 0\ndfs(target)\nreturn self.ans",
"nums.sort()\ndp = [1]\ni = 1\nwhile i <= target:\n count = 0\n for n in nums:\n i... | <|body_start_0|>
def dfs(target):
if target == 0:
self.ans += 1
for i in range(len(nums)):
if nums[i] <= target:
dfs(target - nums[i])
nums.sort()
self.ans = 0
dfs(target)
return self.ans
<|end_body_0|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def combinationSum4dfs(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_072089 | 962 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "combinationSum4dfs",
"signature": "def combinationSum4dfs(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: int",
"name": "combinationSum4",
"signature": "def combinationS... | 2 | stack_v2_sparse_classes_30k_train_002348 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4dfs(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combinationSum4dfs(self, nums, target): :type nums: List[int] :type target: int :rtype: int
- def combinationSum4(self, nums, target): :type nums: List[int] :type target: int... | ab49373ff3fc306a03a90de02e1801b8cbe520d7 | <|skeleton|>
class Solution:
def combinationSum4dfs(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_0|>
def combinationSum4(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def combinationSum4dfs(self, nums, target):
""":type nums: List[int] :type target: int :rtype: int"""
def dfs(target):
if target == 0:
self.ans += 1
for i in range(len(nums)):
if nums[i] <= target:
dfs(target... | the_stack_v2_python_sparse | finished/377.py | yiguid/LeetCodePractise | train | 0 | |
3b93fb4262fe57699deb6a87e13b7f7b0e6e3069 | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=self.normalize_email(email), first_name=first_name, last_name=last_name, company=company, title=title, personal_phone=personal_phone, office_phone=office_phone, fax=fax, role=role)\nuser.set_password(password)\nuser.sa... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email), first_name=first_name, last_name=last_name, company=company, title=title, personal_phone=personal_phone, office_phone=office_phone, fax=fax, role=role)
... | ContactManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContactManager:
def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(s... | stack_v2_sparse_classes_75kplus_train_072090 | 6,388 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None)"
},
{
"docstring": "Cr... | 2 | stack_v2_sparse_classes_30k_train_024979 | Implement the Python class `ContactManager` described below.
Class description:
Implement the ContactManager class.
Method signatures and docstrings:
- def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None): Creates and saves a U... | Implement the Python class `ContactManager` described below.
Class description:
Implement the ContactManager class.
Method signatures and docstrings:
- def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None): Creates and saves a U... | 17a341332f6908c75ce060f55a145a76c9db48f7 | <|skeleton|>
class ContactManager:
def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContactManager:
def create_user(self, email, first_name, last_name, password, company, title=None, personal_phone=None, office_phone=None, fax=None, role=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not email:
raise ValueError('Users mu... | the_stack_v2_python_sparse | supportportal/apps/contacts/models.py | bensnyde/django-csa | train | 0 | |
6505308f864b11153b0161cdbe3b2c0d9474e889 | [
"self.neuron = neuron\nself.input_dim = input_dim\nself.activation_func = activation\nself.weight = np.random.uniform(-0.5, 0.5, (self.input_dim, self.neuron))\nself.bias = np.random.uniform(-0.5, 0.5, self.neuron)\nif initialize_WeightBias:\n self.init_WeightBias()",
"scale_factor = 0.7 * self.neuron ** (1 / ... | <|body_start_0|>
self.neuron = neuron
self.input_dim = input_dim
self.activation_func = activation
self.weight = np.random.uniform(-0.5, 0.5, (self.input_dim, self.neuron))
self.bias = np.random.uniform(-0.5, 0.5, self.neuron)
if initialize_WeightBias:
self.in... | Layer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Layer:
def __init__(self, neuron, input_dim=None, activation='binary sigmoid', initialize_WeightBias=False):
"""Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada layer sekarang Keyword Arguments: input_dim {int} -- jumlah neuron pada layer sebelumnya (default... | stack_v2_sparse_classes_75kplus_train_072091 | 36,491 | no_license | [
{
"docstring": "Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada layer sekarang Keyword Arguments: input_dim {int} -- jumlah neuron pada layer sebelumnya (default: {None}) activation {str} -- fungsi aktivasi yang akan digunakan (default: {'binary sigmoid'}) initialize_WeightBias {b... | 2 | null | Implement the Python class `Layer` described below.
Class description:
Implement the Layer class.
Method signatures and docstrings:
- def __init__(self, neuron, input_dim=None, activation='binary sigmoid', initialize_WeightBias=False): Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada lay... | Implement the Python class `Layer` described below.
Class description:
Implement the Layer class.
Method signatures and docstrings:
- def __init__(self, neuron, input_dim=None, activation='binary sigmoid', initialize_WeightBias=False): Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada lay... | 25188166962b02487c19c2aff5d17e06a9a8909a | <|skeleton|>
class Layer:
def __init__(self, neuron, input_dim=None, activation='binary sigmoid', initialize_WeightBias=False):
"""Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada layer sekarang Keyword Arguments: input_dim {int} -- jumlah neuron pada layer sebelumnya (default... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Layer:
def __init__(self, neuron, input_dim=None, activation='binary sigmoid', initialize_WeightBias=False):
"""Inisialisasi class (constructor) Arguments: neuron {int} -- jumlah neuron pada layer sekarang Keyword Arguments: input_dim {int} -- jumlah neuron pada layer sebelumnya (default: {None}) acti... | the_stack_v2_python_sparse | Deep Learning/WildanNN.py | abuwildanm/Python-Machine-Learning | train | 0 | |
76f32816b81a2645b48c5f143d13198f86ec11e7 | [
"if isinstance(value, (str, unicode)):\n try:\n value = int(value)\n except (ValueError, TypeError) as err:\n if value.lower() == 'true':\n value = True\n elif value.lower() == 'false':\n value = False\nif value:\n return 1\nelse:\n return 0",
"if value in (0... | <|body_start_0|>
if isinstance(value, (str, unicode)):
try:
value = int(value)
except (ValueError, TypeError) as err:
if value.lower() == 'true':
value = True
elif value.lower() == 'false':
value = Fa... | SFBool field/event type base-class | _SFBool | [
"GPL-1.0-or-later",
"MIT",
"LicenseRef-scancode-warranty-disclaimer",
"LicenseRef-scancode-other-copyleft",
"LGPL-2.1-or-later",
"GPL-3.0-only",
"LGPL-2.0-or-later",
"GPL-3.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _SFBool:
"""SFBool field/event type base-class"""
def coerce(self, value):
"""Coerce the given value to our type Allowable types: any object with true/false protocol"""
<|body_0|>
def check(self, value):
"""Check that the given value is of exactly expected type""... | stack_v2_sparse_classes_75kplus_train_072092 | 34,853 | permissive | [
{
"docstring": "Coerce the given value to our type Allowable types: any object with true/false protocol",
"name": "coerce",
"signature": "def coerce(self, value)"
},
{
"docstring": "Check that the given value is of exactly expected type",
"name": "check",
"signature": "def check(self, va... | 3 | stack_v2_sparse_classes_30k_train_042233 | Implement the Python class `_SFBool` described below.
Class description:
SFBool field/event type base-class
Method signatures and docstrings:
- def coerce(self, value): Coerce the given value to our type Allowable types: any object with true/false protocol
- def check(self, value): Check that the given value is of ex... | Implement the Python class `_SFBool` described below.
Class description:
SFBool field/event type base-class
Method signatures and docstrings:
- def coerce(self, value): Coerce the given value to our type Allowable types: any object with true/false protocol
- def check(self, value): Check that the given value is of ex... | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | <|skeleton|>
class _SFBool:
"""SFBool field/event type base-class"""
def coerce(self, value):
"""Coerce the given value to our type Allowable types: any object with true/false protocol"""
<|body_0|>
def check(self, value):
"""Check that the given value is of exactly expected type""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _SFBool:
"""SFBool field/event type base-class"""
def coerce(self, value):
"""Coerce the given value to our type Allowable types: any object with true/false protocol"""
if isinstance(value, (str, unicode)):
try:
value = int(value)
except (ValueError... | the_stack_v2_python_sparse | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/vrml/fieldtypes.py | alexus37/AugmentedRealityChess | train | 1 |
d5d8539e20ea5a921e65fe99128ebd74e9361a11 | [
"self.Whf = np.random.normal(size=(i + h, h))\nself.Whb = np.random.normal(size=(i + h, h))\nself.Wy = np.random.normal(size=(2 * h, o))\nself.bhf = np.zeros((1, h))\nself.bhb = np.zeros((1, h))\nself.by = np.zeros((1, o))",
"x_concat = np.concatenate((h_prev, x_t), axis=1)\nh_next = np.matmul(x_concat, self.Whf)... | <|body_start_0|>
self.Whf = np.random.normal(size=(i + h, h))
self.Whb = np.random.normal(size=(i + h, h))
self.Wy = np.random.normal(size=(2 * h, o))
self.bhf = np.zeros((1, h))
self.bhb = np.zeros((1, h))
self.by = np.zeros((1, o))
<|end_body_0|>
<|body_start_1|>
... | Represents a bidirectional cell of an RNN | BidirectionalCell | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BidirectionalCell:
"""Represents a bidirectional cell of an RNN"""
def __init__(self, i, h, o):
""":param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the outputs"""
<|body_0|>
def forward(self, h_prev... | stack_v2_sparse_classes_75kplus_train_072093 | 1,867 | no_license | [
{
"docstring": ":param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the outputs",
"name": "__init__",
"signature": "def __init__(self, i, h, o)"
},
{
"docstring": "Performs forward propagation for one time step :return: h_next... | 4 | stack_v2_sparse_classes_30k_train_001845 | Implement the Python class `BidirectionalCell` described below.
Class description:
Represents a bidirectional cell of an RNN
Method signatures and docstrings:
- def __init__(self, i, h, o): :param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the ou... | Implement the Python class `BidirectionalCell` described below.
Class description:
Represents a bidirectional cell of an RNN
Method signatures and docstrings:
- def __init__(self, i, h, o): :param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the ou... | a51fbcb76dae9281ff34ace0fb762ef899b4c380 | <|skeleton|>
class BidirectionalCell:
"""Represents a bidirectional cell of an RNN"""
def __init__(self, i, h, o):
""":param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the outputs"""
<|body_0|>
def forward(self, h_prev... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BidirectionalCell:
"""Represents a bidirectional cell of an RNN"""
def __init__(self, i, h, o):
""":param i: the dimensionality of the data :param h: the dimensionality of the hidden state :param o: the dimensionality of the outputs"""
self.Whf = np.random.normal(size=(i + h, h))
... | the_stack_v2_python_sparse | supervised_learning/0x0D-RNNs/7-bi_output.py | Diegokernel/holbertonschool-machine_learning | train | 0 |
4cffeb0d276b0d2a7af1024b43a3109c2962d901 | [
"json_state = json.loads(state_string)\nself.tick = json_state['tick']\nself.is_finished = json_state['isFinished']\nself.bombs = [Bomb(bomb_json) for bomb_json in json_state['bombs'].values()]\nself.bonuses = [Bonus(bonus_json) for bonus_json in json_state['bonuses'].values()]\nself.bounds = Bounds(json_state['wid... | <|body_start_0|>
json_state = json.loads(state_string)
self.tick = json_state['tick']
self.is_finished = json_state['isFinished']
self.bombs = [Bomb(bomb_json) for bomb_json in json_state['bombs'].values()]
self.bonuses = [Bonus(bonus_json) for bonus_json in json_state['bonuses']... | The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all players in the game bombs: A list with all bombs in the game bonuses: A list... | State | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class State:
"""The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all players in the game bombs: A list with all ... | stack_v2_sparse_classes_75kplus_train_072094 | 2,465 | permissive | [
{
"docstring": ":param state_string: A json string representing the state :param current_player_id: The id of the current player",
"name": "__init__",
"signature": "def __init__(self, state_string, current_player_id)"
},
{
"docstring": "A numpy array is not JSON serializable so we force it to a ... | 2 | stack_v2_sparse_classes_30k_train_048903 | Implement the Python class `State` described below.
Class description:
The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all play... | Implement the Python class `State` described below.
Class description:
The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all play... | 2d7bc38575031e1d5595d9a7070655115db9899b | <|skeleton|>
class State:
"""The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all players in the game bombs: A list with all ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class State:
"""The complete game representation. Game Attributes: tiles: Represents the map in a numpy array. You can access any Tile with state.tiles[x, y] tick: The current game tick is_finished: whether or not the game is finished players: A list with all players in the game bombs: A list with all bombs in the ... | the_stack_v2_python_sparse | bot/models/state.py | Guillaume-Docquier/bomberjam-bot | train | 0 |
d93a172e4dee56bff84c7ea048bcc6e8b75a42fb | [
"self.assertEquals(0, puzzle8.count_chars('\"\"'))\nself.assertEquals(3, puzzle8.count_chars('\"abc\"'))\nself.assertEquals(7, puzzle8.count_chars('aaa\\\\\"aaa'))\nself.assertEquals(1, puzzle8.count_chars('\\\\x27'))",
"self.assertEquals('\"\\\\\"\\\\\"\"', puzzle8.encode('\"\"'))\nself.assertEquals('\"\\\\\"abc... | <|body_start_0|>
self.assertEquals(0, puzzle8.count_chars('""'))
self.assertEquals(3, puzzle8.count_chars('"abc"'))
self.assertEquals(7, puzzle8.count_chars('aaa\\"aaa'))
self.assertEquals(1, puzzle8.count_chars('\\x27'))
<|end_body_0|>
<|body_start_1|>
self.assertEquals('"\\"\\... | Tests for puzzle 8. | TestPuzzle8 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPuzzle8:
"""Tests for puzzle 8."""
def test_count_chars(self):
"""Tests for puzzle 8, part 1."""
<|body_0|>
def test_encode_chars(self):
"""Tests for puzzle 8, part 2."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.assertEquals(0, puzz... | stack_v2_sparse_classes_75kplus_train_072095 | 848 | no_license | [
{
"docstring": "Tests for puzzle 8, part 1.",
"name": "test_count_chars",
"signature": "def test_count_chars(self)"
},
{
"docstring": "Tests for puzzle 8, part 2.",
"name": "test_encode_chars",
"signature": "def test_encode_chars(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_026137 | Implement the Python class `TestPuzzle8` described below.
Class description:
Tests for puzzle 8.
Method signatures and docstrings:
- def test_count_chars(self): Tests for puzzle 8, part 1.
- def test_encode_chars(self): Tests for puzzle 8, part 2. | Implement the Python class `TestPuzzle8` described below.
Class description:
Tests for puzzle 8.
Method signatures and docstrings:
- def test_count_chars(self): Tests for puzzle 8, part 1.
- def test_encode_chars(self): Tests for puzzle 8, part 2.
<|skeleton|>
class TestPuzzle8:
"""Tests for puzzle 8."""
de... | 99d1f68ddf92b989ff775c270d315eb8df4dbd55 | <|skeleton|>
class TestPuzzle8:
"""Tests for puzzle 8."""
def test_count_chars(self):
"""Tests for puzzle 8, part 1."""
<|body_0|>
def test_encode_chars(self):
"""Tests for puzzle 8, part 2."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestPuzzle8:
"""Tests for puzzle 8."""
def test_count_chars(self):
"""Tests for puzzle 8, part 1."""
self.assertEquals(0, puzzle8.count_chars('""'))
self.assertEquals(3, puzzle8.count_chars('"abc"'))
self.assertEquals(7, puzzle8.count_chars('aaa\\"aaa'))
self.asser... | the_stack_v2_python_sparse | puzzle8/python/test_puzzle8.py | jramaswami/Advent-Of-Code-2015 | train | 0 |
5c6daeb6480f2a5390889fe3728589b75eccd8d9 | [
"if self._user_selection is None:\n return None\nreturn self.option(self._user_selection)",
"if attribute == 'options' and isinstance(value, list):\n value = [PollOption(self._reddit, option) for option in value]\nelif attribute == 'user_selection':\n attribute = '_user_selection'\nsuper().__setattr__(at... | <|body_start_0|>
if self._user_selection is None:
return None
return self.option(self._user_selection)
<|end_body_0|>
<|body_start_1|>
if attribute == 'options' and isinstance(value, list):
value = [PollOption(self._reddit, option) for option in value]
elif attri... | Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total.") print("The options are:") for option in poll_data.options: print(f"{opt... | PollData | [
"GPL-3.0-only",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PollData:
"""Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total.") print("The options are:") for optio... | stack_v2_sparse_classes_75kplus_train_072096 | 3,874 | permissive | [
{
"docstring": "Get the user's selection in this poll, if any. :returns: The user's selection as a :class:`.PollOption`, or ``None`` if there is no choice.",
"name": "user_selection",
"signature": "def user_selection(self) -> PollOption | None"
},
{
"docstring": "Objectify the options attribute,... | 3 | null | Implement the Python class `PollData` described below.
Class description:
Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total... | Implement the Python class `PollData` described below.
Class description:
Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total... | f1d5506b7a3df240f748e1b7749fd5636aa67b32 | <|skeleton|>
class PollData:
"""Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total.") print("The options are:") for optio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PollData:
"""Class to represent poll data on a poll submission. If ``submission`` is a poll :class:`.Submission`, access the poll data like so: .. code-block:: python poll_data = submission.poll_data print(f"There are {poll_data.total_vote_count} votes total.") print("The options are:") for option in poll_dat... | the_stack_v2_python_sparse | praw/models/reddit/poll.py | praw-dev/praw | train | 2,825 |
8c9f904e160cccc19ef719a4ee421f0c1221e6f8 | [
"if self.runner.output is not None:\n self.runner.output.Set(self.runner.output.Schema.DESCRIPTION('GetProcessesBinariesRekall binaries (regex: %s) ' % self.args.filename_regex or 'None'))\nself.CallFlow('ArtifactCollectorFlow', artifact_list=['FullVADBinaryList'], store_results_in_aff4=False, next_state='FetchB... | <|body_start_0|>
if self.runner.output is not None:
self.runner.output.Set(self.runner.output.Schema.DESCRIPTION('GetProcessesBinariesRekall binaries (regex: %s) ' % self.args.filename_regex or 'None'))
self.CallFlow('ArtifactCollectorFlow', artifact_list=['FullVADBinaryList'], store_results... | Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to True, it fetches all the binaries it has found. There is a caveat regarding using the... | ListVADBinaries | [
"Apache-2.0",
"DOC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ListVADBinaries:
"""Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to True, it fetches all the binaries it has f... | stack_v2_sparse_classes_75kplus_train_072097 | 34,719 | permissive | [
{
"docstring": "Request VAD data.",
"name": "Start",
"signature": "def Start(self)"
},
{
"docstring": "Parses the Rekall response and initiates FileFinder flows.",
"name": "FetchBinaries",
"signature": "def FetchBinaries(self, responses)"
},
{
"docstring": "Handle success/failure... | 3 | stack_v2_sparse_classes_30k_train_004944 | Implement the Python class `ListVADBinaries` described below.
Class description:
Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to Tru... | Implement the Python class `ListVADBinaries` described below.
Class description:
Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to Tru... | ba1648b97a76f844ffb8e1891cc9e2680f9b1c6e | <|skeleton|>
class ListVADBinaries:
"""Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to True, it fetches all the binaries it has f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ListVADBinaries:
"""Get list of all running binaries from Rekall, (optionally) fetch them. This flow executes the "vad" Rekall plugin to get the list of all currently running binaries (including dynamic libraries). Then if fetch_binaries option is set to True, it fetches all the binaries it has found. There i... | the_stack_v2_python_sparse | lib/flows/general/memory.py | defaultnamehere/grr | train | 3 |
8d2b110d45f9d8433a79947811574d3b02871e41 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | TextRecognitionAsyncServiceServicer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextRecognitionAsyncServiceServicer:
"""Missing associated documentation comment in .proto file."""
def Recognize(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetRecognition(self, request, context):
"""Mis... | stack_v2_sparse_classes_75kplus_train_072098 | 7,612 | permissive | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "Recognize",
"signature": "def Recognize(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "GetRecognition",
"signature": "def GetRecognition(se... | 2 | stack_v2_sparse_classes_30k_train_000611 | Implement the Python class `TextRecognitionAsyncServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def Recognize(self, request, context): Missing associated documentation comment in .proto file.
- def GetRecognition(self, r... | Implement the Python class `TextRecognitionAsyncServiceServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def Recognize(self, request, context): Missing associated documentation comment in .proto file.
- def GetRecognition(self, r... | b906a014dd893e2697864e1e48e814a8d9fbc48c | <|skeleton|>
class TextRecognitionAsyncServiceServicer:
"""Missing associated documentation comment in .proto file."""
def Recognize(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def GetRecognition(self, request, context):
"""Mis... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TextRecognitionAsyncServiceServicer:
"""Missing associated documentation comment in .proto file."""
def Recognize(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not... | the_stack_v2_python_sparse | yandex/cloud/ai/ocr/v1/ocr_service_pb2_grpc.py | yandex-cloud/python-sdk | train | 63 |
4f236bcb1c4a1071c549ac271fb7184ebb8bea5a | [
"super().__init__(grad=grad, **kwargs)\nself.keys = keys\nself.prob = prob\nif not isinstance(dims, DiscreteParameter):\n if len(dims) > 2:\n dims = list(combinations(dims, 2))\n else:\n dims = (dims,)\n dims = DiscreteParameter(dims)\nself.register_sampler('dims', dims)\nself.register_sample... | <|body_start_0|>
super().__init__(grad=grad, **kwargs)
self.keys = keys
self.prob = prob
if not isinstance(dims, DiscreteParameter):
if len(dims) > 2:
dims = list(combinations(dims, 2))
else:
dims = (dims,)
dims = Discre... | Rotate 90 degree around dims | Rot90 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rot90:
"""Rotate 90 degree around dims"""
def __init__(self, dims: Union[Sequence[int], DiscreteParameter], keys: Sequence[str]=('data',), num_rots: Sequence[int]=(0, 1, 2, 3), prob: float=0.5, grad: bool=False, **kwargs):
"""Args: dims: dims/axis ro rotate. If more than two dims are... | stack_v2_sparse_classes_75kplus_train_072099 | 11,105 | permissive | [
{
"docstring": "Args: dims: dims/axis ro rotate. If more than two dims are provided, 2 dimensions are randomly chosen at each call keys: keys which should be rotated num_rots: possible values for number of rotations prob: probability for rotation grad: enable gradient computation inside transformation kwargs: k... | 2 | stack_v2_sparse_classes_30k_train_050242 | Implement the Python class `Rot90` described below.
Class description:
Rotate 90 degree around dims
Method signatures and docstrings:
- def __init__(self, dims: Union[Sequence[int], DiscreteParameter], keys: Sequence[str]=('data',), num_rots: Sequence[int]=(0, 1, 2, 3), prob: float=0.5, grad: bool=False, **kwargs): A... | Implement the Python class `Rot90` described below.
Class description:
Rotate 90 degree around dims
Method signatures and docstrings:
- def __init__(self, dims: Union[Sequence[int], DiscreteParameter], keys: Sequence[str]=('data',), num_rots: Sequence[int]=(0, 1, 2, 3), prob: float=0.5, grad: bool=False, **kwargs): A... | ab6fbcfe7215c2a5b8e401b70909f6a32d0d167b | <|skeleton|>
class Rot90:
"""Rotate 90 degree around dims"""
def __init__(self, dims: Union[Sequence[int], DiscreteParameter], keys: Sequence[str]=('data',), num_rots: Sequence[int]=(0, 1, 2, 3), prob: float=0.5, grad: bool=False, **kwargs):
"""Args: dims: dims/axis ro rotate. If more than two dims are... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Rot90:
"""Rotate 90 degree around dims"""
def __init__(self, dims: Union[Sequence[int], DiscreteParameter], keys: Sequence[str]=('data',), num_rots: Sequence[int]=(0, 1, 2, 3), prob: float=0.5, grad: bool=False, **kwargs):
"""Args: dims: dims/axis ro rotate. If more than two dims are provided, 2 ... | the_stack_v2_python_sparse | rising/transforms/spatial.py | PhoenixDL/rising | train | 318 |
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