blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
960dad9e69bd28bece2c661f9659311b32288b85 | [
"input_logits = np.array([[[-1.0, -2.0, -3.0], [-4.0, -5.0, -6.0], [-7.0, -8.0, -9.0], [-10.0, -11.0, -12.0]]])\noutput_labels = np.array([[1, 2, 2]])\nloss = asr_loss.ctc(input_logits=input_logits, output_labels=output_labels, input_seq_len=[4], output_seq_len=[3])\nby_hand = -tf.reduce_logsumexp([np.sum([-2.0, -6... | <|body_start_0|>
input_logits = np.array([[[-1.0, -2.0, -3.0], [-4.0, -5.0, -6.0], [-7.0, -8.0, -9.0], [-10.0, -11.0, -12.0]]])
output_labels = np.array([[1, 2, 2]])
loss = asr_loss.ctc(input_logits=input_logits, output_labels=output_labels, input_seq_len=[4], output_seq_len=[3])
by_hand... | ASRLossTest | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ASRLossTest:
def testCTCByHand(self):
"""Enumerate a very simple lattice by hand and compare."""
<|body_0|>
def testRNNTByHand(self):
"""Enumerate a very simple lattice by hand and compare."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
input_logit... | stack_v2_sparse_classes_36k_train_024000 | 12,682 | permissive | [
{
"docstring": "Enumerate a very simple lattice by hand and compare.",
"name": "testCTCByHand",
"signature": "def testCTCByHand(self)"
},
{
"docstring": "Enumerate a very simple lattice by hand and compare.",
"name": "testRNNTByHand",
"signature": "def testRNNTByHand(self)"
}
] | 2 | null | Implement the Python class `ASRLossTest` described below.
Class description:
Implement the ASRLossTest class.
Method signatures and docstrings:
- def testCTCByHand(self): Enumerate a very simple lattice by hand and compare.
- def testRNNTByHand(self): Enumerate a very simple lattice by hand and compare. | Implement the Python class `ASRLossTest` described below.
Class description:
Implement the ASRLossTest class.
Method signatures and docstrings:
- def testCTCByHand(self): Enumerate a very simple lattice by hand and compare.
- def testRNNTByHand(self): Enumerate a very simple lattice by hand and compare.
<|skeleton|>... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class ASRLossTest:
def testCTCByHand(self):
"""Enumerate a very simple lattice by hand and compare."""
<|body_0|>
def testRNNTByHand(self):
"""Enumerate a very simple lattice by hand and compare."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ASRLossTest:
def testCTCByHand(self):
"""Enumerate a very simple lattice by hand and compare."""
input_logits = np.array([[[-1.0, -2.0, -3.0], [-4.0, -5.0, -6.0], [-7.0, -8.0, -9.0], [-10.0, -11.0, -12.0]]])
output_labels = np.array([[1, 2, 2]])
loss = asr_loss.ctc(input_logits... | the_stack_v2_python_sparse | entropy_semiring/asr_loss_test.py | Jimmy-INL/google-research | train | 1 | |
71d305bfd850dbee94b3f4b3c6a359dc403a8af3 | [
"mongo = database.MongoDBConnection()\nwith mongo:\n db = mongo.connection.HPNortonDatabase\n products = db['products']\n customers = db['customers']\n rentals = db['rentals']\nproducts.drop()\ncustomers.drop()\nrentals.drop()",
"directory_path = 'data'\ntuple1, tuple2 = database.import_data(directory... | <|body_start_0|>
mongo = database.MongoDBConnection()
with mongo:
db = mongo.connection.HPNortonDatabase
products = db['products']
customers = db['customers']
rentals = db['rentals']
products.drop()
customers.drop()
rentals.drop()
<... | Tests for the database module | DatabaseTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatabaseTests:
"""Tests for the database module"""
def setUp(self):
"""Sets up database for each test"""
<|body_0|>
def test_import_data(self):
"""Tests the import_data function"""
<|body_1|>
def test_show_available_products(self):
"""Tests t... | stack_v2_sparse_classes_36k_train_024001 | 3,519 | no_license | [
{
"docstring": "Sets up database for each test",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Tests the import_data function",
"name": "test_import_data",
"signature": "def test_import_data(self)"
},
{
"docstring": "Tests the show_available_products module",... | 4 | stack_v2_sparse_classes_30k_train_012635 | Implement the Python class `DatabaseTests` described below.
Class description:
Tests for the database module
Method signatures and docstrings:
- def setUp(self): Sets up database for each test
- def test_import_data(self): Tests the import_data function
- def test_show_available_products(self): Tests the show_availab... | Implement the Python class `DatabaseTests` described below.
Class description:
Tests for the database module
Method signatures and docstrings:
- def setUp(self): Sets up database for each test
- def test_import_data(self): Tests the import_data function
- def test_show_available_products(self): Tests the show_availab... | 5dac60f39e3909ff05b26721d602ed20f14d6be3 | <|skeleton|>
class DatabaseTests:
"""Tests for the database module"""
def setUp(self):
"""Sets up database for each test"""
<|body_0|>
def test_import_data(self):
"""Tests the import_data function"""
<|body_1|>
def test_show_available_products(self):
"""Tests t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DatabaseTests:
"""Tests for the database module"""
def setUp(self):
"""Sets up database for each test"""
mongo = database.MongoDBConnection()
with mongo:
db = mongo.connection.HPNortonDatabase
products = db['products']
customers = db['customers'... | the_stack_v2_python_sparse | students/amirg/lesson09/assignment/test_database.py | JavaRod/SP_Python220B_2019 | train | 1 |
5586f355622d9a833b912c75a80b06d1610c5fd4 | [
"self.bandwidth_limit_overrides = bandwidth_limit_overrides\nself.io_rate = io_rate\nself.rate_limit_bytes_per_sec = rate_limit_bytes_per_sec\nself.timezone = timezone",
"if dictionary is None:\n return None\nbandwidth_limit_overrides = None\nif dictionary.get('bandwidthLimitOverrides') != None:\n bandwidth... | <|body_start_0|>
self.bandwidth_limit_overrides = bandwidth_limit_overrides
self.io_rate = io_rate
self.rate_limit_bytes_per_sec = rate_limit_bytes_per_sec
self.timezone = timezone
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
bandwidth_l... | Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set in this struct and corresponding BandwidthLimitOverrides should also be in the sa... | BandwidthLimit | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BandwidthLimit:
"""Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set in this struct and corresponding Bandwi... | stack_v2_sparse_classes_36k_train_024002 | 3,645 | permissive | [
{
"docstring": "Constructor for the BandwidthLimit class",
"name": "__init__",
"signature": "def __init__(self, bandwidth_limit_overrides=None, io_rate=None, rate_limit_bytes_per_sec=None, timezone=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (di... | 2 | null | Implement the Python class `BandwidthLimit` described below.
Class description:
Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set ... | Implement the Python class `BandwidthLimit` described below.
Class description:
Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class BandwidthLimit:
"""Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set in this struct and corresponding Bandwi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BandwidthLimit:
"""Implementation of the 'BandwidthLimit' model. Specifies settings for limiting the data transfer rate between the local and remote Clusters or bandwidth limiting schedule for apollo. Only one of RateLimitBytesPerSec or IoRate should be set in this struct and corresponding BandwidthLimitOverr... | the_stack_v2_python_sparse | cohesity_management_sdk/models/bandwidth_limit.py | cohesity/management-sdk-python | train | 24 |
de17182cddb90b440f6b15abcb8626edf1c75ab8 | [
"if not head or not head.next:\n return head\nnew_head = head.next\nhead.next, new_head.next = (self.swapPairs(new_head.next), head)\nreturn new_head",
"pre, pre.next = (self, head)\nwhile pre.next and pre.next.next:\n a = pre.next\n b = a.next\n pre.next, b.next, a.next = (b, a, b.next)\n pre = a\... | <|body_start_0|>
if not head or not head.next:
return head
new_head = head.next
head.next, new_head.next = (self.swapPairs(new_head.next), head)
return new_head
<|end_body_0|>
<|body_start_1|>
pre, pre.next = (self, head)
while pre.next and pre.next.next:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
"""思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(n)"""
<|body_0|>
def swapPairs(self, head: ListNode) -> ListNode:
"""思路：非递归 ... | stack_v2_sparse_classes_36k_train_024003 | 1,810 | no_license | [
{
"docstring": "思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(n)",
"name": "swapPairs",
"signature": "def swapPairs(self, head: ListNode) -> ListNode"
},
{
"docstring": "思路：非递归 1。 终止条件：head 后只有 一个 node，即 not head ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head: ListNode) -> ListNode: 思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head: ListNode) -> ListNode: 思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(... | 4994b8b19abcdbcc0bda2944350e325242fadfd1 | <|skeleton|>
class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
"""思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(n)"""
<|body_0|>
def swapPairs(self, head: ListNode) -> ListNode:
"""思路：非递归 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def swapPairs(self, head: ListNode) -> ListNode:
"""思路：递归 1。 终止条件：head 后只有 一个 node，即 not head or not head.next 2. 每层 返回值： 已排好序的后两个 node 的 head 3。 本 level 处理的 task，交换两个 node 空间复杂度 O(n)"""
if not head or not head.next:
return head
new_head = head.next
head.n... | the_stack_v2_python_sparse | Week_01/swapPairs.py | NanZhang715/AlgorithmCHUNZHAO | train | 0 | |
9b9bcebf909b833790caaba0bbf3d85f85c851af | [
"max_len, left, right = (0, 0, 0)\nfor i in range(len(s)):\n if s[i] == '(':\n left += 1\n else:\n right += 1\n if left == right:\n max_len = max(max_len, 2 * right)\n if right > left:\n right, left = (0, 0)\nright, left = (0, 0)\nfor j in range(len(s))[::-1]:\n if s[j] ==... | <|body_start_0|>
max_len, left, right = (0, 0, 0)
for i in range(len(s)):
if s[i] == '(':
left += 1
else:
right += 1
if left == right:
max_len = max(max_len, 2 * right)
if right > left:
right,... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def get_longest_valid_parentheses(self, s: List[str]) -> int:
"""遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度"""
<|body_0|>
def get_longest_valid_parentheses2(self, s: List[str]) -> int:
"""遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度"""
<|body_1|... | stack_v2_sparse_classes_36k_train_024004 | 3,876 | permissive | [
{
"docstring": "遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度",
"name": "get_longest_valid_parentheses",
"signature": "def get_longest_valid_parentheses(self, s: List[str]) -> int"
},
{
"docstring": "遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度",
"name": "get_longest_valid_parentheses2",
... | 4 | stack_v2_sparse_classes_30k_train_007623 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def get_longest_valid_parentheses(self, s: List[str]) -> int: 遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度
- def get_longest_valid_parentheses2(self, s: List[str]) -> int: 遍历所有的... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def get_longest_valid_parentheses(self, s: List[str]) -> int: 遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度
- def get_longest_valid_parentheses2(self, s: List[str]) -> int: 遍历所有的... | 50f35eef6a0ad63173efed10df3c835b1dceaa3f | <|skeleton|>
class Solution:
def get_longest_valid_parentheses(self, s: List[str]) -> int:
"""遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度"""
<|body_0|>
def get_longest_valid_parentheses2(self, s: List[str]) -> int:
"""遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度"""
<|body_1|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def get_longest_valid_parentheses(self, s: List[str]) -> int:
"""遍历所有的括号,计算有效字符串 Args: s: 字符串 Returns: 匹配字符串长度"""
max_len, left, right = (0, 0, 0)
for i in range(len(s)):
if s[i] == '(':
left += 1
else:
right += 1
... | the_stack_v2_python_sparse | src/leetcodepython/top100likedquestions/longest_valid_parentheses_32.py | zhangyu345293721/leetcode | train | 101 | |
24ef36fea0ae11af52da6ec553893a71854d273f | [
"if projects_directory is None:\n self.projects_directory = self.Defaults.projects_directory\nelse:\n self.projects_directory = projects_directory",
"if projects_directory is None:\n projects_directory = self.projects_directory\nname = support.ensure_end(_string, '.sublime-project')\nreturn name in self.... | <|body_start_0|>
if projects_directory is None:
self.projects_directory = self.Defaults.projects_directory
else:
self.projects_directory = projects_directory
<|end_body_0|>
<|body_start_1|>
if projects_directory is None:
projects_directory = self.projects_dir... | Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory). | OpenProjectFromName | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OpenProjectFromName:
"""Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory)."""
def __init__(self, projects_directory=None):
"""Input is project file, in standard directory for subli... | stack_v2_sparse_classes_36k_train_024005 | 8,112 | permissive | [
{
"docstring": "Input is project file, in standard directory for sublime-project files.",
"name": "__init__",
"signature": "def __init__(self, projects_directory=None)"
},
{
"docstring": "@type: _string: str @returns: bool",
"name": "matches",
"signature": "def matches(self, _string, pro... | 4 | stack_v2_sparse_classes_30k_train_010536 | Implement the Python class `OpenProjectFromName` described below.
Class description:
Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory).
Method signatures and docstrings:
- def __init__(self, projects_directory=None... | Implement the Python class `OpenProjectFromName` described below.
Class description:
Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory).
Method signatures and docstrings:
- def __init__(self, projects_directory=None... | 6504a00e70e9c6be365f92dad69f4f4d5df41cf9 | <|skeleton|>
class OpenProjectFromName:
"""Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory)."""
def __init__(self, projects_directory=None):
"""Input is project file, in standard directory for subli... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OpenProjectFromName:
"""Attempt to open a project file by looking in a standardized location for all project files (usually located in the user's SublimeText packages directory)."""
def __init__(self, projects_directory=None):
"""Input is project file, in standard directory for sublime-project fi... | the_stack_v2_python_sparse | sublp/dispatch_cases.py | OaklandPeters/sublp | train | 0 |
f20412d5bb783c6bef157c385a79cccaabc13634 | [
"try:\n reset_password_code = self.request.query['reset_password_code']\nexcept KeyError:\n return make_response(success=False, message='Required param reset_password_code is not provided.', http_status=HTTPStatus.UNPROCESSABLE_ENTITY)\nreturn render_template('reset_password.html', self.request, {'reset_passw... | <|body_start_0|>
try:
reset_password_code = self.request.query['reset_password_code']
except KeyError:
return make_response(success=False, message='Required param reset_password_code is not provided.', http_status=HTTPStatus.UNPROCESSABLE_ENTITY)
return render_template('r... | Class that includes functionality for user password resetting. | AuthResetPasswordView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthResetPasswordView:
"""Class that includes functionality for user password resetting."""
async def get(self):
"""Render reset password form."""
<|body_0|>
async def post(self):
"""Kick off user password resetting."""
<|body_1|>
async def put(self)... | stack_v2_sparse_classes_36k_train_024006 | 15,662 | permissive | [
{
"docstring": "Render reset password form.",
"name": "get",
"signature": "async def get(self)"
},
{
"docstring": "Kick off user password resetting.",
"name": "post",
"signature": "async def post(self)"
},
{
"docstring": "Create a new password for user.",
"name": "put",
"... | 3 | stack_v2_sparse_classes_30k_train_018594 | Implement the Python class `AuthResetPasswordView` described below.
Class description:
Class that includes functionality for user password resetting.
Method signatures and docstrings:
- async def get(self): Render reset password form.
- async def post(self): Kick off user password resetting.
- async def put(self): Cr... | Implement the Python class `AuthResetPasswordView` described below.
Class description:
Class that includes functionality for user password resetting.
Method signatures and docstrings:
- async def get(self): Render reset password form.
- async def post(self): Kick off user password resetting.
- async def put(self): Cr... | 16b7154188f08b33f84d88caea217673cf989b2b | <|skeleton|>
class AuthResetPasswordView:
"""Class that includes functionality for user password resetting."""
async def get(self):
"""Render reset password form."""
<|body_0|>
async def post(self):
"""Kick off user password resetting."""
<|body_1|>
async def put(self)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuthResetPasswordView:
"""Class that includes functionality for user password resetting."""
async def get(self):
"""Render reset password form."""
try:
reset_password_code = self.request.query['reset_password_code']
except KeyError:
return make_response(suc... | the_stack_v2_python_sparse | server/app/api/auth.py | SpentlessInc/spentless-server | train | 0 |
3ac688259da227071652034e0acaf2acf1f7fc31 | [
"self.capacity = capacity\nself.map = {}\nself.cache = LinkedList()",
"if key in self.map:\n node = self.map[key]\n self.cache.remove(node)\n self.cache.append(node)\n return node.value\nreturn -1",
"if key not in self.map:\n if len(self.cache) == self.capacity:\n node = self.cache.pop()\n... | <|body_start_0|>
self.capacity = capacity
self.map = {}
self.cache = LinkedList()
<|end_body_0|>
<|body_start_1|>
if key in self.map:
node = self.map[key]
self.cache.remove(node)
self.cache.append(node)
return node.value
return -1
... | LRUCache | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k_train_024007 | 2,543 | permissive | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | stack_v2_sparse_classes_30k_train_015249 | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | ba84c192fb9995dd48ddc6d81c3153488dd3c698 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.capacity = capacity
self.map = {}
self.cache = LinkedList()
def get(self, key):
""":type key: int :rtype: int"""
if key in self.map:
node = self.map[key]
self.cac... | the_stack_v2_python_sparse | Python/lru-cache.py | phucle2411/LeetCode | train | 0 | |
343f0a9fa219c9a2282edb13ac120fcdda76d6a4 | [
"try:\n blockchain_name = blockchain_name.strip()\n if not blockchain_name:\n raise ValueError(\"Blockchain name can't be empty\")\n args = [NetworkController.MULTICHAIN_ARG, blockchain_name, NetworkController.GET_PEER_INFO_ARG]\n output = run(args, check=True, capture_output=True)\n json_peer... | <|body_start_0|>
try:
blockchain_name = blockchain_name.strip()
if not blockchain_name:
raise ValueError("Blockchain name can't be empty")
args = [NetworkController.MULTICHAIN_ARG, blockchain_name, NetworkController.GET_PEER_INFO_ARG]
output = run(... | NetworkController | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetworkController:
def get_peer_info(blockchain_name: str):
"""Returns information about the other nodes to which this node is connected. The main information that is returned is: "lastsend": (numeric) The date and time of the last send "lastrecv": (numeric) The data and time of the last... | stack_v2_sparse_classes_36k_train_024008 | 3,429 | permissive | [
{
"docstring": "Returns information about the other nodes to which this node is connected. The main information that is returned is: \"lastsend\": (numeric) The date and time of the last send \"lastrecv\": (numeric) The data and time of the last receive \"bytessent\": (numeric) The total bytes sent \"bytesrecv\... | 2 | stack_v2_sparse_classes_30k_train_007004 | Implement the Python class `NetworkController` described below.
Class description:
Implement the NetworkController class.
Method signatures and docstrings:
- def get_peer_info(blockchain_name: str): Returns information about the other nodes to which this node is connected. The main information that is returned is: "l... | Implement the Python class `NetworkController` described below.
Class description:
Implement the NetworkController class.
Method signatures and docstrings:
- def get_peer_info(blockchain_name: str): Returns information about the other nodes to which this node is connected. The main information that is returned is: "l... | 6be199fcaf836415b7d32ffb2cee911a9d600395 | <|skeleton|>
class NetworkController:
def get_peer_info(blockchain_name: str):
"""Returns information about the other nodes to which this node is connected. The main information that is returned is: "lastsend": (numeric) The date and time of the last send "lastrecv": (numeric) The data and time of the last... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NetworkController:
def get_peer_info(blockchain_name: str):
"""Returns information about the other nodes to which this node is connected. The main information that is returned is: "lastsend": (numeric) The date and time of the last send "lastrecv": (numeric) The data and time of the last receive "byte... | the_stack_v2_python_sparse | app/models/monitor/network_controller.py | talos-org/server | train | 1 | |
30d0b9f2447060de0572827bbd2cda6b7d967d91 | [
"if name in ['width', 'height'] and name not in self.varNames():\n if hasOpenImageIO:\n imageInput = OpenImageIO.ImageInput.open(self.pathHolder().path())\n if imageInput is None:\n raise OiioReadFileError(\"Can't read information from file:\\n{}\".format(self.pathHolder().path()))\n ... | <|body_start_0|>
if name in ['width', 'height'] and name not in self.varNames():
if hasOpenImageIO:
imageInput = OpenImageIO.ImageInput.open(self.pathHolder().path())
if imageInput is None:
raise OiioReadFileError("Can't read information from file:... | Open image io crawler. | Oiio | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Oiio:
"""Open image io crawler."""
def var(self, name):
"""Return var value using lazy loading implementation for width and height."""
<|body_0|>
def __getWidthHeight(self):
"""Query width and height using ffprobe and set them as crawler variables."""
<|b... | stack_v2_sparse_classes_36k_train_024009 | 2,210 | permissive | [
{
"docstring": "Return var value using lazy loading implementation for width and height.",
"name": "var",
"signature": "def var(self, name)"
},
{
"docstring": "Query width and height using ffprobe and set them as crawler variables.",
"name": "__getWidthHeight",
"signature": "def __getWid... | 2 | stack_v2_sparse_classes_30k_train_010776 | Implement the Python class `Oiio` described below.
Class description:
Open image io crawler.
Method signatures and docstrings:
- def var(self, name): Return var value using lazy loading implementation for width and height.
- def __getWidthHeight(self): Query width and height using ffprobe and set them as crawler vari... | Implement the Python class `Oiio` described below.
Class description:
Open image io crawler.
Method signatures and docstrings:
- def var(self, name): Return var value using lazy loading implementation for width and height.
- def __getWidthHeight(self): Query width and height using ffprobe and set them as crawler vari... | 0b1dc1f17b025f6b37c9a3cf5753a46cbbcd36ba | <|skeleton|>
class Oiio:
"""Open image io crawler."""
def var(self, name):
"""Return var value using lazy loading implementation for width and height."""
<|body_0|>
def __getWidthHeight(self):
"""Query width and height using ffprobe and set them as crawler variables."""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Oiio:
"""Open image io crawler."""
def var(self, name):
"""Return var value using lazy loading implementation for width and height."""
if name in ['width', 'height'] and name not in self.varNames():
if hasOpenImageIO:
imageInput = OpenImageIO.ImageInput.open(se... | the_stack_v2_python_sparse | src/lib/centipede/Crawler/Fs/Image/Oiio.py | ramgopal99/centipede | train | 0 |
71a38762bd4415f29a7bab2ea5df45fcfd2b2736 | [
"mock_index.search.side_effect = RuntimeError\nresponse, status_code, _ = health_check()\nself.assertEqual(response, 'DOWN', 'Response content should be DOWN')\nself.assertEqual(status_code, HTTPStatus.INTERNAL_SERVER_ERROR, 'Should return 500 status code.')",
"mock_index.search.return_value = {'metadata': {}, 'r... | <|body_start_0|>
mock_index.search.side_effect = RuntimeError
response, status_code, _ = health_check()
self.assertEqual(response, 'DOWN', 'Response content should be DOWN')
self.assertEqual(status_code, HTTPStatus.INTERNAL_SERVER_ERROR, 'Should return 500 status code.')
<|end_body_0|>
... | Tests for :func:`.health_check`. | TestHealthCheck | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestHealthCheck:
"""Tests for :func:`.health_check`."""
def test_index_is_down(self, mock_index):
"""Test returns 'DOWN' + status 500 when index raises an exception."""
<|body_0|>
def test_index_returns_no_result(self, mock_index):
"""Test returns 'DOWN' + status... | stack_v2_sparse_classes_36k_train_024010 | 3,341 | permissive | [
{
"docstring": "Test returns 'DOWN' + status 500 when index raises an exception.",
"name": "test_index_is_down",
"signature": "def test_index_is_down(self, mock_index)"
},
{
"docstring": "Test returns 'DOWN' + status 500 when index returns no results.",
"name": "test_index_returns_no_result"... | 3 | stack_v2_sparse_classes_30k_test_000594 | Implement the Python class `TestHealthCheck` described below.
Class description:
Tests for :func:`.health_check`.
Method signatures and docstrings:
- def test_index_is_down(self, mock_index): Test returns 'DOWN' + status 500 when index raises an exception.
- def test_index_returns_no_result(self, mock_index): Test re... | Implement the Python class `TestHealthCheck` described below.
Class description:
Tests for :func:`.health_check`.
Method signatures and docstrings:
- def test_index_is_down(self, mock_index): Test returns 'DOWN' + status 500 when index raises an exception.
- def test_index_returns_no_result(self, mock_index): Test re... | e48f74bb2a858ae7bcf19d68f80cb6dcaa1f4761 | <|skeleton|>
class TestHealthCheck:
"""Tests for :func:`.health_check`."""
def test_index_is_down(self, mock_index):
"""Test returns 'DOWN' + status 500 when index raises an exception."""
<|body_0|>
def test_index_returns_no_result(self, mock_index):
"""Test returns 'DOWN' + status... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestHealthCheck:
"""Tests for :func:`.health_check`."""
def test_index_is_down(self, mock_index):
"""Test returns 'DOWN' + status 500 when index raises an exception."""
mock_index.search.side_effect = RuntimeError
response, status_code, _ = health_check()
self.assertEqual(... | the_stack_v2_python_sparse | search/controllers/tests.py | arXiv/arxiv-search | train | 54 |
7d2fce56982c6d54a4ede5b681be380be64e8019 | [
"self.proof_type = proof_type\nself.proof_purpose = proof_purpose\nself.created = created\nself.domain = domain\nself.challenge = challenge\nself.credential_status = credential_status",
"if isinstance(o, LDProofVCDetailOptions):\n return self.proof_type == o.proof_type and self.proof_purpose == o.proof_purpose... | <|body_start_0|>
self.proof_type = proof_type
self.proof_purpose = proof_purpose
self.created = created
self.domain = domain
self.challenge = challenge
self.credential_status = credential_status
<|end_body_0|>
<|body_start_1|>
if isinstance(o, LDProofVCDetailOpti... | Linked Data Proof verifiable credential options model. | LDProofVCDetailOptions | [
"LicenseRef-scancode-dco-1.1",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LDProofVCDetailOptions:
"""Linked Data Proof verifiable credential options model."""
def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=None, challenge: Optional[str]=None, credential_status: Optional[dict]... | stack_v2_sparse_classes_36k_train_024011 | 4,481 | permissive | [
{
"docstring": "Initialize the LDProofVCDetailOptions instance.",
"name": "__init__",
"signature": "def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=None, challenge: Optional[str]=None, credential_status: Optional[di... | 2 | stack_v2_sparse_classes_30k_train_000357 | Implement the Python class `LDProofVCDetailOptions` described below.
Class description:
Linked Data Proof verifiable credential options model.
Method signatures and docstrings:
- def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=No... | Implement the Python class `LDProofVCDetailOptions` described below.
Class description:
Linked Data Proof verifiable credential options model.
Method signatures and docstrings:
- def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=No... | 39cac36d8937ce84a9307ce100aaefb8bc05ec04 | <|skeleton|>
class LDProofVCDetailOptions:
"""Linked Data Proof verifiable credential options model."""
def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=None, challenge: Optional[str]=None, credential_status: Optional[dict]... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LDProofVCDetailOptions:
"""Linked Data Proof verifiable credential options model."""
def __init__(self, proof_type: Optional[str]=None, proof_purpose: Optional[str]=None, created: Optional[str]=None, domain: Optional[str]=None, challenge: Optional[str]=None, credential_status: Optional[dict]=None) -> Non... | the_stack_v2_python_sparse | aries_cloudagent/protocols/issue_credential/v2_0/formats/ld_proof/models/cred_detail_options.py | hyperledger/aries-cloudagent-python | train | 370 |
c04931815de578e33b98b3a2641e9b6ca6871b3b | [
"self.description = description\nself.vlan_id = vlan_id\nself.services = services",
"if dictionary is None:\n return None\nvlan_id = dictionary.get('vlanId')\nservices = dictionary.get('services')\ndescription = dictionary.get('description')\nreturn cls(vlan_id, services, description)"
] | <|body_start_0|>
self.description = description
self.vlan_id = vlan_id
self.services = services
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
vlan_id = dictionary.get('vlanId')
services = dictionary.get('services')
description = d... | Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of ServiceEnum): A list of Bonjour services. At least one service must be specified. ... | Rule3Model | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule3Model:
"""Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of ServiceEnum): A list of Bonjour services. At... | stack_v2_sparse_classes_36k_train_024012 | 2,165 | permissive | [
{
"docstring": "Constructor for the Rule3Model class",
"name": "__init__",
"signature": "def __init__(self, vlan_id=None, services=None, description=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the obj... | 2 | null | Implement the Python class `Rule3Model` described below.
Class description:
Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of Servi... | Implement the Python class `Rule3Model` described below.
Class description:
Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of Servi... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class Rule3Model:
"""Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of ServiceEnum): A list of Bonjour services. At... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Rule3Model:
"""Implementation of the 'Rule3' model. TODO: type model description here. Attributes: description (string): A description for your Bonjour forwarding rule. Optional. vlan_id (string): The ID of the service VLAN. Required. services (list of ServiceEnum): A list of Bonjour services. At least one se... | the_stack_v2_python_sparse | meraki_sdk/models/rule_3_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
ba805584c4da990698932610b1f9b705b0c1ab8b | [
"super(Separator, self).__init__()\nself.layer_norm = CumulativeLayerNorm(in_dim, eps=1e-08) if causal else nn.GroupNorm(1, in_dim, eps=1e-08)\nself.batch_norm = nn.Conv1d(in_dim, bn_dim, 1)\nself.receptive_field = 0\nself.dilated = dilated\nself.TCN = nn.ModuleList([])\nfor s in range(stack):\n for layer_id in ... | <|body_start_0|>
super(Separator, self).__init__()
self.layer_norm = CumulativeLayerNorm(in_dim, eps=1e-08) if causal else nn.GroupNorm(1, in_dim, eps=1e-08)
self.batch_norm = nn.Conv1d(in_dim, bn_dim, 1)
self.receptive_field = 0
self.dilated = dilated
self.TCN = nn.Modul... | Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation in the module conv layers ? TCN {nn.ModuleList} -- TCN module list (depth-wis... | Separator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Separator:
"""Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation in the module conv layers ? TCN {nn.Modu... | stack_v2_sparse_classes_36k_train_024013 | 9,814 | permissive | [
{
"docstring": "Initialization Arguments: in_dim {int} -- input dimension out_dim {int} -- outpit dimension bn_dim {int} -- batch norm dimension hidden_dim {int} -- hidden dimension layers {int} -- number of layers per stack stack {int} -- number of stackes layers block Keyword Arguments: kernel {int} -- kernel... | 2 | stack_v2_sparse_classes_30k_train_010439 | Implement the Python class `Separator` described below.
Class description:
Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation i... | Implement the Python class `Separator` described below.
Class description:
Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation i... | 2415502fa8a38d4624b1c71e926f1723bdc8535c | <|skeleton|>
class Separator:
"""Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation in the module conv layers ? TCN {nn.Modu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Separator:
"""Separator Module Attributes: layer_norm {nn.Module} -- normalization layer either cLN or gLN batch_norm {nn.Module} -- 1 dimensionnal convolution layer receptive_field {int} -- receptive field of the module dilated {bool} -- is there dilation in the module conv layers ? TCN {nn.ModuleList} -- TC... | the_stack_v2_python_sparse | SPK_SP_Master/wass/convtasnet/modules.py | adamwhitakerwilson/speaker_separation | train | 0 |
3b9223d319264e97597521239ae3efe167e2069e | [
"self.system = system\nself.devices = []\nself.group = {}",
"if dev_name not in self.devices:\n self.devices.append(dev_name)\ngroup_name = self.system.__dict__[dev_name]._group\nif group_name not in self.group.keys():\n self.group[group_name] = {}",
"if dev_name not in self.devices:\n self.system.Log.... | <|body_start_0|>
self.system = system
self.devices = []
self.group = {}
<|end_body_0|>
<|body_start_1|>
if dev_name not in self.devices:
self.devices.append(dev_name)
group_name = self.system.__dict__[dev_name]._group
if group_name not in self.group.keys():
... | Device Manager class. Maintains the loaded model list, groups and categories | DevMan | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DevMan:
"""Device Manager class. Maintains the loaded model list, groups and categories"""
def __init__(self, system=None):
"""constructor for DevMan class"""
<|body_0|>
def register_device(self, dev_name):
"""register a device to the device list"""
<|bod... | stack_v2_sparse_classes_36k_train_024014 | 1,921 | permissive | [
{
"docstring": "constructor for DevMan class",
"name": "__init__",
"signature": "def __init__(self, system=None)"
},
{
"docstring": "register a device to the device list",
"name": "register_device",
"signature": "def register_device(self, dev_name)"
},
{
"docstring": "register a ... | 4 | stack_v2_sparse_classes_30k_train_000315 | Implement the Python class `DevMan` described below.
Class description:
Device Manager class. Maintains the loaded model list, groups and categories
Method signatures and docstrings:
- def __init__(self, system=None): constructor for DevMan class
- def register_device(self, dev_name): register a device to the device ... | Implement the Python class `DevMan` described below.
Class description:
Device Manager class. Maintains the loaded model list, groups and categories
Method signatures and docstrings:
- def __init__(self, system=None): constructor for DevMan class
- def register_device(self, dev_name): register a device to the device ... | 769afa0ad85daf7a41d1434d44a47a72397e3627 | <|skeleton|>
class DevMan:
"""Device Manager class. Maintains the loaded model list, groups and categories"""
def __init__(self, system=None):
"""constructor for DevMan class"""
<|body_0|>
def register_device(self, dev_name):
"""register a device to the device list"""
<|bod... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DevMan:
"""Device Manager class. Maintains the loaded model list, groups and categories"""
def __init__(self, system=None):
"""constructor for DevMan class"""
self.system = system
self.devices = []
self.group = {}
def register_device(self, dev_name):
"""regist... | the_stack_v2_python_sparse | andes/variables/devman.py | buaaqq/andes | train | 1 |
c0f0133a3e0145e891086ec9b63bfa05c8c66bfd | [
"super(ChassisCharmOperationTest, cls).setUpClass()\ncls.services = ['ovn-controller']\nif cls.application_name == 'ovn-chassis':\n principal_app_name = 'magpie'\nelse:\n principal_app_name = cls.application_name\nsource = zaza.model.get_application_config(principal_app_name)['source']['value']\nlogging.info(... | <|body_start_0|>
super(ChassisCharmOperationTest, cls).setUpClass()
cls.services = ['ovn-controller']
if cls.application_name == 'ovn-chassis':
principal_app_name = 'magpie'
else:
principal_app_name = cls.application_name
source = zaza.model.get_applicatio... | OVN Chassis Charm operation tests. | ChassisCharmOperationTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChassisCharmOperationTest:
"""OVN Chassis Charm operation tests."""
def setUpClass(cls):
"""Run class setup for OVN Chassis charm operation tests."""
<|body_0|>
def test_prefer_chassis_as_gw(self):
"""Confirm effect of prefer-chassis-as-gw configuration option.""... | stack_v2_sparse_classes_36k_train_024015 | 37,617 | permissive | [
{
"docstring": "Run class setup for OVN Chassis charm operation tests.",
"name": "setUpClass",
"signature": "def setUpClass(cls)"
},
{
"docstring": "Confirm effect of prefer-chassis-as-gw configuration option.",
"name": "test_prefer_chassis_as_gw",
"signature": "def test_prefer_chassis_a... | 3 | stack_v2_sparse_classes_30k_train_004007 | Implement the Python class `ChassisCharmOperationTest` described below.
Class description:
OVN Chassis Charm operation tests.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for OVN Chassis charm operation tests.
- def test_prefer_chassis_as_gw(self): Confirm effect of prefer-chassis-as-gw co... | Implement the Python class `ChassisCharmOperationTest` described below.
Class description:
OVN Chassis Charm operation tests.
Method signatures and docstrings:
- def setUpClass(cls): Run class setup for OVN Chassis charm operation tests.
- def test_prefer_chassis_as_gw(self): Confirm effect of prefer-chassis-as-gw co... | 3b17ad9d97c57b6e62797d4e3333e4b83e43a447 | <|skeleton|>
class ChassisCharmOperationTest:
"""OVN Chassis Charm operation tests."""
def setUpClass(cls):
"""Run class setup for OVN Chassis charm operation tests."""
<|body_0|>
def test_prefer_chassis_as_gw(self):
"""Confirm effect of prefer-chassis-as-gw configuration option.""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ChassisCharmOperationTest:
"""OVN Chassis Charm operation tests."""
def setUpClass(cls):
"""Run class setup for OVN Chassis charm operation tests."""
super(ChassisCharmOperationTest, cls).setUpClass()
cls.services = ['ovn-controller']
if cls.application_name == 'ovn-chassi... | the_stack_v2_python_sparse | zaza/openstack/charm_tests/ovn/tests.py | openstack-charmers/zaza-openstack-tests | train | 7 |
3c701d9ad341d6e5509ba1908d9d574498b111dd | [
"for i in range(len(nums) - 1):\n for j in range(i + 1, len(nums)):\n if nums[i] + nums[j] == target:\n return [i, j]\nreturn []",
"d = {num: str(i) for i, num in enumerate(nums)}\nfor i, num in enumerate(nums):\n if target - num in d and int(d[target - num]) != i:\n return [i, int(... | <|body_start_0|>
for i in range(len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return [i, j]
return []
<|end_body_0|>
<|body_start_1|>
d = {num: str(i) for i, num in enumerate(nums)}
for i, num in enumera... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
"""暴力"""
<|body_0|>
def twoSum1(self, nums: List[int], target: int) -> List[int]:
"""字典实现O(1)查找"""
<|body_1|>
def twoSum2(self, nums: List[int], target: int) -> List[int]:
"""... | stack_v2_sparse_classes_36k_train_024016 | 1,538 | no_license | [
{
"docstring": "暴力",
"name": "twoSum",
"signature": "def twoSum(self, nums: List[int], target: int) -> List[int]"
},
{
"docstring": "字典实现O(1)查找",
"name": "twoSum1",
"signature": "def twoSum1(self, nums: List[int], target: int) -> List[int]"
},
{
"docstring": "更优化的写法",
"name":... | 3 | stack_v2_sparse_classes_30k_train_010303 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum(self, nums: List[int], target: int) -> List[int]: 暴力
- def twoSum1(self, nums: List[int], target: int) -> List[int]: 字典实现O(1)查找
- def twoSum2(self, nums: List[int], ta... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum(self, nums: List[int], target: int) -> List[int]: 暴力
- def twoSum1(self, nums: List[int], target: int) -> List[int]: 字典实现O(1)查找
- def twoSum2(self, nums: List[int], ta... | ff7fe189ceaba761cbc8732781a865d597a6bf9f | <|skeleton|>
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
"""暴力"""
<|body_0|>
def twoSum1(self, nums: List[int], target: int) -> List[int]:
"""字典实现O(1)查找"""
<|body_1|>
def twoSum2(self, nums: List[int], target: int) -> List[int]:
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
"""暴力"""
for i in range(len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return [i, j]
return []
def twoSum1(self, nums: List[int... | the_stack_v2_python_sparse | 2020.01.08-1.py | Narcissus7/LeetCode | train | 0 | |
8099d713ddfe3b87a55dae24e9181a76187e7a2b | [
"for cat, urlpart in category_mapping.items():\n self.category = cat\n url = '{}{}'.format(self.ROOT_CAT_URL, urlpart)\n yield scrapy.Request(url, meta={'_ours': {'category': cat}})",
"links = set(response.css('.mw-category ul li a::attr(href)').extract())\nmeta = response.meta['_ours']\nfor rellink in l... | <|body_start_0|>
for cat, urlpart in category_mapping.items():
self.category = cat
url = '{}{}'.format(self.ROOT_CAT_URL, urlpart)
yield scrapy.Request(url, meta={'_ours': {'category': cat}})
<|end_body_0|>
<|body_start_1|>
links = set(response.css('.mw-category ul l... | Scrapes any wikipedia category page. | WikipediaCategoryScraper | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WikipediaCategoryScraper:
"""Scrapes any wikipedia category page."""
def start_requests(self):
"""Determine which category starting url to run."""
<|body_0|>
def parse(self, response):
"""Parse the response of each list category."""
<|body_1|>
def pa... | stack_v2_sparse_classes_36k_train_024017 | 2,111 | permissive | [
{
"docstring": "Determine which category starting url to run.",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "Parse the response of each list category.",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "Parse a si... | 3 | stack_v2_sparse_classes_30k_train_004752 | Implement the Python class `WikipediaCategoryScraper` described below.
Class description:
Scrapes any wikipedia category page.
Method signatures and docstrings:
- def start_requests(self): Determine which category starting url to run.
- def parse(self, response): Parse the response of each list category.
- def parse_... | Implement the Python class `WikipediaCategoryScraper` described below.
Class description:
Scrapes any wikipedia category page.
Method signatures and docstrings:
- def start_requests(self): Determine which category starting url to run.
- def parse(self, response): Parse the response of each list category.
- def parse_... | 8515fcc4c86ef0a96f34278d90419e5fad2b48d3 | <|skeleton|>
class WikipediaCategoryScraper:
"""Scrapes any wikipedia category page."""
def start_requests(self):
"""Determine which category starting url to run."""
<|body_0|>
def parse(self, response):
"""Parse the response of each list category."""
<|body_1|>
def pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WikipediaCategoryScraper:
"""Scrapes any wikipedia category page."""
def start_requests(self):
"""Determine which category starting url to run."""
for cat, urlpart in category_mapping.items():
self.category = cat
url = '{}{}'.format(self.ROOT_CAT_URL, urlpart)
... | the_stack_v2_python_sparse | plantstuff/scraping/scrapers/spiders/wikipedia.py | christabor/plantstuff | train | 8 |
7ae090e3c40acbc3d2a58e93bb33a144ce09e380 | [
"Agent_Base.__init__(self)\nself.value_state = np.zeros([num_car_max, num_car_max])\nself.posibility = 1 / (num_action * 2 + 1)\nself.posibility_state = self.posibility * np.ones([num_car_max, num_car_max, num_action * 2 + 1])\nself.gamma = gamma\nself.action = None\nself.state_old = None",
"self.state_old = stat... | <|body_start_0|>
Agent_Base.__init__(self)
self.value_state = np.zeros([num_car_max, num_car_max])
self.posibility = 1 / (num_action * 2 + 1)
self.posibility_state = self.posibility * np.ones([num_car_max, num_car_max, num_action * 2 + 1])
self.gamma = gamma
self.action =... | this class is the policy iteration agent to find the car retal problem's optimal solution | PI_Agent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PI_Agent:
"""this class is the policy iteration agent to find the car retal problem's optimal solution"""
def __init__(self, num_car_max, num_action, gamma):
"""init the data arg: num_action: int, the num of the action num_cars_max: int, the max num of the cars that can sotp in one p... | stack_v2_sparse_classes_36k_train_024018 | 2,569 | no_license | [
{
"docstring": "init the data arg: num_action: int, the num of the action num_cars_max: int, the max num of the cars that can sotp in one place gamma: float,0-1, the discount of the last state's value",
"name": "__init__",
"signature": "def __init__(self, num_car_max, num_action, gamma)"
},
{
"d... | 3 | stack_v2_sparse_classes_30k_train_012188 | Implement the Python class `PI_Agent` described below.
Class description:
this class is the policy iteration agent to find the car retal problem's optimal solution
Method signatures and docstrings:
- def __init__(self, num_car_max, num_action, gamma): init the data arg: num_action: int, the num of the action num_cars... | Implement the Python class `PI_Agent` described below.
Class description:
this class is the policy iteration agent to find the car retal problem's optimal solution
Method signatures and docstrings:
- def __init__(self, num_car_max, num_action, gamma): init the data arg: num_action: int, the num of the action num_cars... | 180cc4d6370953e52b02822e7f7b54030ba656fa | <|skeleton|>
class PI_Agent:
"""this class is the policy iteration agent to find the car retal problem's optimal solution"""
def __init__(self, num_car_max, num_action, gamma):
"""init the data arg: num_action: int, the num of the action num_cars_max: int, the max num of the cars that can sotp in one p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PI_Agent:
"""this class is the policy iteration agent to find the car retal problem's optimal solution"""
def __init__(self, num_car_max, num_action, gamma):
"""init the data arg: num_action: int, the num of the action num_cars_max: int, the max num of the cars that can sotp in one place gamma: f... | the_stack_v2_python_sparse | car_rental/pi_agent.py | DKuan/Reinforcement_Learning2018 | train | 0 |
48b1f53ee9faece58d8484e2bc6966c61088fc2a | [
"if not landscape:\n return 0\nnumOfLines = len(landscape)\nnumOfColumns = len(landscape[0])\nnumOfIslands = 0\nfor i in range(numOfLines):\n for j in range(numOfColumns):\n if landscape[i][j] == 1:\n numOfIslands += 1\n self.eraseIsland(landscape, i, j, numOfLines, numOfColumns)\... | <|body_start_0|>
if not landscape:
return 0
numOfLines = len(landscape)
numOfColumns = len(landscape[0])
numOfIslands = 0
for i in range(numOfLines):
for j in range(numOfColumns):
if landscape[i][j] == 1:
numOfIslands +=... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countIslands(self, landscape):
""":type landscape: List[List[int]] :rtype: int"""
<|body_0|>
def eraseIsland(self, landscape, x, y, xBorder, yBorder):
""":type landscape: List[List[int]], x: int, y: int, xBorder: int, yBorder: int :rtype: None"""
... | stack_v2_sparse_classes_36k_train_024019 | 1,407 | no_license | [
{
"docstring": ":type landscape: List[List[int]] :rtype: int",
"name": "countIslands",
"signature": "def countIslands(self, landscape)"
},
{
"docstring": ":type landscape: List[List[int]], x: int, y: int, xBorder: int, yBorder: int :rtype: None",
"name": "eraseIsland",
"signature": "def ... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countIslands(self, landscape): :type landscape: List[List[int]] :rtype: int
- def eraseIsland(self, landscape, x, y, xBorder, yBorder): :type landscape: List[List[int]], x: i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countIslands(self, landscape): :type landscape: List[List[int]] :rtype: int
- def eraseIsland(self, landscape, x, y, xBorder, yBorder): :type landscape: List[List[int]], x: i... | fa624b702129fa3efd6997791e4cd37c420e114e | <|skeleton|>
class Solution:
def countIslands(self, landscape):
""":type landscape: List[List[int]] :rtype: int"""
<|body_0|>
def eraseIsland(self, landscape, x, y, xBorder, yBorder):
""":type landscape: List[List[int]], x: int, y: int, xBorder: int, yBorder: int :rtype: None"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countIslands(self, landscape):
""":type landscape: List[List[int]] :rtype: int"""
if not landscape:
return 0
numOfLines = len(landscape)
numOfColumns = len(landscape[0])
numOfIslands = 0
for i in range(numOfLines):
for j in ... | the_stack_v2_python_sparse | p53/p53.py | zois-tasoulas/DailyInterviewPro | train | 0 | |
bb2b3cc6a66922612ff05e4ef2f2570d560087c1 | [
"if not is_exe(exe_path):\n msg = '{0} is not an executable'.format(exe_path)\n raise NotExecutableError(msg)\nself._exe_path = exe_path",
"self.__build_cmd(infile, outfile)\nif dry_run:\n results = Results(self._cmd, self._outfilename, None, None)\nelse:\n pipe = subprocess.run(self._cmd, shell=True,... | <|body_start_0|>
if not is_exe(exe_path):
msg = '{0} is not an executable'.format(exe_path)
raise NotExecutableError(msg)
self._exe_path = exe_path
<|end_body_0|>
<|body_start_1|>
self.__build_cmd(infile, outfile)
if dry_run:
results = Results(self._c... | Class for working with MUSCLE | Muscle | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Muscle:
"""Class for working with MUSCLE"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
<|body_0|>
def run(self, infile, outfile=None, dry_run=False):
"""Run MUSCLE on the single passed file Writes the alignment result alongside th... | stack_v2_sparse_classes_36k_train_024020 | 2,375 | permissive | [
{
"docstring": "Instantiate with location of executable",
"name": "__init__",
"signature": "def __init__(self, exe_path)"
},
{
"docstring": "Run MUSCLE on the single passed file Writes the alignment result alongside the input file Returns a tuple of output file, and the STDOUT, STDERR returned b... | 3 | null | Implement the Python class `Muscle` described below.
Class description:
Class for working with MUSCLE
Method signatures and docstrings:
- def __init__(self, exe_path): Instantiate with location of executable
- def run(self, infile, outfile=None, dry_run=False): Run MUSCLE on the single passed file Writes the alignmen... | Implement the Python class `Muscle` described below.
Class description:
Class for working with MUSCLE
Method signatures and docstrings:
- def __init__(self, exe_path): Instantiate with location of executable
- def run(self, infile, outfile=None, dry_run=False): Run MUSCLE on the single passed file Writes the alignmen... | a3c64198aad3709a5c4d969f48ae0af11fdc25db | <|skeleton|>
class Muscle:
"""Class for working with MUSCLE"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
<|body_0|>
def run(self, infile, outfile=None, dry_run=False):
"""Run MUSCLE on the single passed file Writes the alignment result alongside th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Muscle:
"""Class for working with MUSCLE"""
def __init__(self, exe_path):
"""Instantiate with location of executable"""
if not is_exe(exe_path):
msg = '{0} is not an executable'.format(exe_path)
raise NotExecutableError(msg)
self._exe_path = exe_path
d... | the_stack_v2_python_sparse | metapy/pycits/muscle.py | peterthorpe5/public_scripts | train | 35 |
5240b1723e8848cc18f51f196f9265a821eb5062 | [
"if not issubclass(enum, IntEnum):\n raise TypeError('enum must be an IntEnum subclass')\nself._enum = enum\nif default is None:\n self._default = None\nelif isinstance(default, enum):\n self._default = default\nelif isinstance(default, int):\n self._default = enum(int)\nelse:\n raise TypeError('defa... | <|body_start_0|>
if not issubclass(enum, IntEnum):
raise TypeError('enum must be an IntEnum subclass')
self._enum = enum
if default is None:
self._default = None
elif isinstance(default, enum):
self._default = default
elif isinstance(default, i... | Class to create a dynamic validator for IntEnum classes | IntEnumValidator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IntEnumValidator:
"""Class to create a dynamic validator for IntEnum classes"""
def __init__(self, enum, default=None):
"""Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:class:`enum.IntEnum` | int | None default attribute of the... | stack_v2_sparse_classes_36k_train_024021 | 7,524 | permissive | [
{
"docstring": "Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:class:`enum.IntEnum` | int | None default attribute of the enum Raises ------ TypeError if enum is not an :py:class:`enum.IntEnum` class TypeError if default parameter is of invalid type",
... | 3 | stack_v2_sparse_classes_30k_train_007051 | Implement the Python class `IntEnumValidator` described below.
Class description:
Class to create a dynamic validator for IntEnum classes
Method signatures and docstrings:
- def __init__(self, enum, default=None): Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:c... | Implement the Python class `IntEnumValidator` described below.
Class description:
Class to create a dynamic validator for IntEnum classes
Method signatures and docstrings:
- def __init__(self, enum, default=None): Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:c... | ab5377e3b16f1920d4d9ada443e1e9059715f0fb | <|skeleton|>
class IntEnumValidator:
"""Class to create a dynamic validator for IntEnum classes"""
def __init__(self, enum, default=None):
"""Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:class:`enum.IntEnum` | int | None default attribute of the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IntEnumValidator:
"""Class to create a dynamic validator for IntEnum classes"""
def __init__(self, enum, default=None):
"""Parameters ---------- enum : :py:class:`enum.IntEnum` base enum class for this validator default : :py:class:`enum.IntEnum` | int | None default attribute of the enum Raises ... | the_stack_v2_python_sparse | PyPoE/shared/config/validator.py | Openarl/PyPoE | train | 16 |
421a1c1ebb1125d9a8880968ae01ca61eede6773 | [
"super().__init__()\n\ndef block(in_feat, out_feat, normalize=True):\n layers = [torch.nn.Linear(in_feat, out_feat)]\n if normalize:\n layers.append(torch.nn.BatchNorm1d(out_feat, 0.8))\n layers.append(torch.nn.LeakyReLU(0.2, inplace=True))\n return layers\nself.model = torch.nn.Sequential(*block... | <|body_start_0|>
super().__init__()
def block(in_feat, out_feat, normalize=True):
layers = [torch.nn.Linear(in_feat, out_feat)]
if normalize:
layers.append(torch.nn.BatchNorm1d(out_feat, 0.8))
layers.append(torch.nn.LeakyReLU(0.2, inplace=True))
... | A simple generative network | Generator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Generator:
"""A simple generative network"""
def __init__(self, img_shape, latent_dim):
"""Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim : int size of the latent noise dimension"""
<|body... | stack_v2_sparse_classes_36k_train_024022 | 2,650 | permissive | [
{
"docstring": "Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim : int size of the latent noise dimension",
"name": "__init__",
"signature": "def __init__(self, img_shape, latent_dim)"
},
{
"docstring": "Feeds ... | 2 | stack_v2_sparse_classes_30k_train_002380 | Implement the Python class `Generator` described below.
Class description:
A simple generative network
Method signatures and docstrings:
- def __init__(self, img_shape, latent_dim): Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim :... | Implement the Python class `Generator` described below.
Class description:
A simple generative network
Method signatures and docstrings:
- def __init__(self, img_shape, latent_dim): Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim :... | 1078f5030b8aac2bf022daf5fa14d66f74c3c893 | <|skeleton|>
class Generator:
"""A simple generative network"""
def __init__(self, img_shape, latent_dim):
"""Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim : int size of the latent noise dimension"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Generator:
"""A simple generative network"""
def __init__(self, img_shape, latent_dim):
"""Parameters ---------- img_shape : tuple the shape of the images to generate (including channels, excluding batch dimension) latent_dim : int size of the latent noise dimension"""
super().__init__()
... | the_stack_v2_python_sparse | dlutils/models/gans/wasserstein/models.py | justusschock/dl-utils | train | 15 |
5ae84fcccbda78d095d76bc3a8c582fa17e68e84 | [
"slow = fast = head\nwhile fast and fast.next:\n slow = slow.next\n fast = fast.next.next\n if slow is fast:\n break\nif not fast or not fast.next:\n return None\nwhile slow != head:\n slow = slow.next\n head = head.next\nreturn head",
"slow = fast = head\nwhile fast and fast.next:\n s... | <|body_start_0|>
slow = fast = head
while fast and fast.next:
slow = slow.next
fast = fast.next.next
if slow is fast:
break
if not fast or not fast.next:
return None
while slow != head:
slow = slow.next
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def detectCycle(self, head):
"""Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked list)."""
<|body_0|>
def detectCycle(self, head):
"""More concise code versio... | stack_v2_sparse_classes_36k_train_024023 | 1,728 | no_license | [
{
"docstring": "Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked list).",
"name": "detectCycle",
"signature": "def detectCycle(self, head)"
},
{
"docstring": "More concise code version. Returns nod... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head): Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked l... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def detectCycle(self, head): Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked l... | 71b722ddfe8da04572e527b055cf8723d5c87bbf | <|skeleton|>
class Solution:
def detectCycle(self, head):
"""Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked list)."""
<|body_0|>
def detectCycle(self, head):
"""More concise code versio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def detectCycle(self, head):
"""Returns node where the cycle begins in the linked list, or None if there's no cycle. Time complexity: O(n). Space complexity: O(1), n is len(linked list)."""
slow = fast = head
while fast and fast.next:
slow = slow.next
... | the_stack_v2_python_sparse | Linked_Lists/linked_list_cycle_2.py | vladn90/Algorithms | train | 0 | |
e30c5ddbcb322cb05cd077c16437e20f962c0124 | [
"super(DatabaseWrapper, self).__init__(*args, **kwargs)\nops_cls = self.ops.__class__\nif not hasattr(ops_cls, 'binary_placeholder_sql'):\n from django.db.models.fields import BinaryField\n assert not hasattr(BinaryField, 'get_placeholder')\n ops_cls.binary_placeholder_sql = self._ops_binary_placeholder_sq... | <|body_start_0|>
super(DatabaseWrapper, self).__init__(*args, **kwargs)
ops_cls = self.ops.__class__
if not hasattr(ops_cls, 'binary_placeholder_sql'):
from django.db.models.fields import BinaryField
assert not hasattr(BinaryField, 'get_placeholder')
ops_cls.b... | Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :py:class:`~django.db.models.BinaryField` could trigger a MySQL warning due to the b... | DatabaseWrapper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DatabaseWrapper:
"""Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :py:class:`~django.db.models.BinaryField`... | stack_v2_sparse_classes_36k_train_024024 | 3,962 | no_license | [
{
"docstring": "Initialize the database backend. Args: *args (tuple): Positional arguments for the backend. **kwargs (dict): Keyword arguments for the backend.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Return the placeholder format string for bin... | 3 | null | Implement the Python class `DatabaseWrapper` described below.
Class description:
Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :p... | Implement the Python class `DatabaseWrapper` described below.
Class description:
Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :p... | 99ea69d80a3a393b0da4da3152ef26e808dd8487 | <|skeleton|>
class DatabaseWrapper:
"""Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :py:class:`~django.db.models.BinaryField`... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DatabaseWrapper:
"""Database backend for MySQL. This is a specialized version of the standard Django MySQL database backend which adds backported compatibility fixes from newer versions of Django. Currently, this fixes an issue where contents going into a :py:class:`~django.db.models.BinaryField` could trigge... | the_stack_v2_python_sparse | djblets/db/backends/mysql/base.py | chipx86/djblets | train | 2 |
32cfffbc9e8b8e88e9c4cbbcd04ddcc6a58e643f | [
"user = User.objects.create_user(username=username, password=password)\nuser.groups.add(rol)\nreturn self.create(tipo=self.model.ADMINISTRATIVO, usuario=user, **kwargs)",
"user = User.objects.create_user(username=username, password=password)\nuser.groups.add(rol)\nmedico = self.create(tipo=self.model.MEDICO, usua... | <|body_start_0|>
user = User.objects.create_user(username=username, password=password)
user.groups.add(rol)
return self.create(tipo=self.model.ADMINISTRATIVO, usuario=user, **kwargs)
<|end_body_0|>
<|body_start_1|>
user = User.objects.create_user(username=username, password=password)
... | Manager personalizado para el modelo Empleado. | EmpleadoManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmpleadoManager:
"""Manager personalizado para el modelo Empleado."""
def crear_empleado_administrativo(self, username, password, rol, **kwargs):
"""Permite crear un empleado administrativo"""
<|body_0|>
def crear_medico(self, username, password, rol, instituciones, **kw... | stack_v2_sparse_classes_36k_train_024025 | 2,324 | no_license | [
{
"docstring": "Permite crear un empleado administrativo",
"name": "crear_empleado_administrativo",
"signature": "def crear_empleado_administrativo(self, username, password, rol, **kwargs)"
},
{
"docstring": "Permite crear un empleado administrativo",
"name": "crear_medico",
"signature":... | 2 | null | Implement the Python class `EmpleadoManager` described below.
Class description:
Manager personalizado para el modelo Empleado.
Method signatures and docstrings:
- def crear_empleado_administrativo(self, username, password, rol, **kwargs): Permite crear un empleado administrativo
- def crear_medico(self, username, pa... | Implement the Python class `EmpleadoManager` described below.
Class description:
Manager personalizado para el modelo Empleado.
Method signatures and docstrings:
- def crear_empleado_administrativo(self, username, password, rol, **kwargs): Permite crear un empleado administrativo
- def crear_medico(self, username, pa... | b8f8df111432bfab537853ed8e8dbd4603e9707d | <|skeleton|>
class EmpleadoManager:
"""Manager personalizado para el modelo Empleado."""
def crear_empleado_administrativo(self, username, password, rol, **kwargs):
"""Permite crear un empleado administrativo"""
<|body_0|>
def crear_medico(self, username, password, rol, instituciones, **kw... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmpleadoManager:
"""Manager personalizado para el modelo Empleado."""
def crear_empleado_administrativo(self, username, password, rol, **kwargs):
"""Permite crear un empleado administrativo"""
user = User.objects.create_user(username=username, password=password)
user.groups.add(ro... | the_stack_v2_python_sparse | organizacional/managers.py | geovanniberdugo/medhis | train | 0 |
2f8a5bb8f219fb8e4d1ee917bb35f56876c6dc43 | [
"\"\"\"\n 1.find length of all string\n 2. Loop from smallest lenght string and pick charcter by character and compare them\n 3.if all the characters till now are same then add it to empty string\n 4. return if matching doesnot occur between character arra... | <|body_start_0|>
"""
1.find length of all string
2. Loop from smallest lenght string and pick charcter by character and compare them
3.if all the characters till now are same then add it to empty string
4. return if ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefix2(self, strs):
"""Vertical scanning algorithm."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
"""
1.fin... | stack_v2_sparse_classes_36k_train_024026 | 1,517 | no_license | [
{
"docstring": ":type strs: List[str] :rtype: str",
"name": "longestCommonPrefix",
"signature": "def longestCommonPrefix(self, strs)"
},
{
"docstring": "Vertical scanning algorithm.",
"name": "longestCommonPrefix2",
"signature": "def longestCommonPrefix2(self, strs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014070 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix2(self, strs): Vertical scanning algorithm. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestCommonPrefix(self, strs): :type strs: List[str] :rtype: str
- def longestCommonPrefix2(self, strs): Vertical scanning algorithm.
<|skeleton|>
class Solution:
def... | bee7e3629f4b59fdc5223da91c66efc44f4dd262 | <|skeleton|>
class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
<|body_0|>
def longestCommonPrefix2(self, strs):
"""Vertical scanning algorithm."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def longestCommonPrefix(self, strs):
""":type strs: List[str] :rtype: str"""
"""
1.find length of all string
2. Loop from smallest lenght string and pick charcter by character and compare them
3.if all the charac... | the_stack_v2_python_sparse | leetcode/easy/longestCommonPrefix.py | himanshush200599/codingPart | train | 4 | |
a6bcd0c1f4dabde45852ffb5ca6179d9005f5af2 | [
"cols = [set() for _ in range(9)]\nfor row in range(9):\n if not row % 3:\n squares = (set(), set(), set())\n cur_row = set()\n for col in range(9):\n if board[row][col] == '.':\n continue\n for s in (cur_row, cols[col], squares[col // 3]):\n if board[row][col] in... | <|body_start_0|>
cols = [set() for _ in range(9)]
for row in range(9):
if not row % 3:
squares = (set(), set(), set())
cur_row = set()
for col in range(9):
if board[row][col] == '.':
continue
for s in... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidSudoku(self, board):
""":type board: List[List[str]] :rtype: bool"""
<|body_0|>
def isValidSudoku(self, board):
""":type board: List[List[str]] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
cols = [set() for _ in ... | stack_v2_sparse_classes_36k_train_024027 | 1,311 | no_license | [
{
"docstring": ":type board: List[List[str]] :rtype: bool",
"name": "isValidSudoku",
"signature": "def isValidSudoku(self, board)"
},
{
"docstring": ":type board: List[List[str]] :rtype: bool",
"name": "isValidSudoku",
"signature": "def isValidSudoku(self, board)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool
- def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool
- def isValidSudoku(self, board): :type board: List[List[str]] :rtype: bool
<|skeleton|>
class Solution... | c27f19fac14b4acef8c631ad5569e1a5c29e9e1f | <|skeleton|>
class Solution:
def isValidSudoku(self, board):
""":type board: List[List[str]] :rtype: bool"""
<|body_0|>
def isValidSudoku(self, board):
""":type board: List[List[str]] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isValidSudoku(self, board):
""":type board: List[List[str]] :rtype: bool"""
cols = [set() for _ in range(9)]
for row in range(9):
if not row % 3:
squares = (set(), set(), set())
cur_row = set()
for col in range(9):
... | the_stack_v2_python_sparse | leetcode/p0036 - Valid Sudoku.py | liseyko/CtCI | train | 0 | |
c00fe289eb2b02751a4404bf79361e1a4a5837bc | [
"try:\n sport = self.kwargs['sport']\nexcept KeyError:\n sport = 'nba'\nsite_sport_manager = sports.classes.SiteSportManager()\nteam_serializer_class = site_sport_manager.get_team_serializer_class(sport)\nreturn team_serializer_class",
"try:\n sport = self.kwargs['sport']\nexcept KeyError:\n sport = '... | <|body_start_0|>
try:
sport = self.kwargs['sport']
except KeyError:
sport = 'nba'
site_sport_manager = sports.classes.SiteSportManager()
team_serializer_class = site_sport_manager.get_team_serializer_class(sport)
return team_serializer_class
<|end_body_0|>... | Get the teams for the league teams for a sport. | LeagueTeamAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LeagueTeamAPIView:
"""Get the teams for the league teams for a sport."""
def get_serializer_class(self):
"""use site sport manager to get the site_sport from the sport param"""
<|body_0|>
def get_queryset(self):
"""Return a QuerySet of the sports.<sport>.models.T... | stack_v2_sparse_classes_36k_train_024028 | 26,966 | no_license | [
{
"docstring": "use site sport manager to get the site_sport from the sport param",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "Return a QuerySet of the sports.<sport>.models.Team objects",
"name": "get_queryset",
"signature": "def get... | 2 | null | Implement the Python class `LeagueTeamAPIView` described below.
Class description:
Get the teams for the league teams for a sport.
Method signatures and docstrings:
- def get_serializer_class(self): use site sport manager to get the site_sport from the sport param
- def get_queryset(self): Return a QuerySet of the sp... | Implement the Python class `LeagueTeamAPIView` described below.
Class description:
Get the teams for the league teams for a sport.
Method signatures and docstrings:
- def get_serializer_class(self): use site sport manager to get the site_sport from the sport param
- def get_queryset(self): Return a QuerySet of the sp... | 4796fa9d88b56f80def011e2b043ce595bfce8c4 | <|skeleton|>
class LeagueTeamAPIView:
"""Get the teams for the league teams for a sport."""
def get_serializer_class(self):
"""use site sport manager to get the site_sport from the sport param"""
<|body_0|>
def get_queryset(self):
"""Return a QuerySet of the sports.<sport>.models.T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LeagueTeamAPIView:
"""Get the teams for the league teams for a sport."""
def get_serializer_class(self):
"""use site sport manager to get the site_sport from the sport param"""
try:
sport = self.kwargs['sport']
except KeyError:
sport = 'nba'
site_sp... | the_stack_v2_python_sparse | sports/views.py | nakamotohideyoshi/draftboard-web | train | 0 |
bfcb2616c491d8ba0e893ad5f3c79aa9f45ba1f3 | [
"if s == '':\n return ''\nss = s[::-1]\nfor i in range(len(s)):\n length = len(s) - i\n if ss[i:] == s[:length]:\n return ss + s[length:]",
"if s == '':\n return ''\nss = s[::-1]\nfor i in range(len(s)):\n length = len(s) - i\n if s[i:] == ss[:length]:\n return s + ss[length:]",
... | <|body_start_0|>
if s == '':
return ''
ss = s[::-1]
for i in range(len(s)):
length = len(s) - i
if ss[i:] == s[:length]:
return ss + s[length:]
<|end_body_0|>
<|body_start_1|>
if s == '':
return ''
ss = s[::-1]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def shortestPalindrome_front(self, s: str) -> str:
"""暴力+串后加"""
<|body_0|>
def shortestPalindrome_behind(self, s: str) -> str:
"""暴力+串前加"""
<|body_1|>
def shortestPalindrome_advanced(self, s: str) -> str:
"""KMP 算法"""
<|body_2|>... | stack_v2_sparse_classes_36k_train_024029 | 1,371 | no_license | [
{
"docstring": "暴力+串后加",
"name": "shortestPalindrome_front",
"signature": "def shortestPalindrome_front(self, s: str) -> str"
},
{
"docstring": "暴力+串前加",
"name": "shortestPalindrome_behind",
"signature": "def shortestPalindrome_behind(self, s: str) -> str"
},
{
"docstring": "KMP ... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shortestPalindrome_front(self, s: str) -> str: 暴力+串后加
- def shortestPalindrome_behind(self, s: str) -> str: 暴力+串前加
- def shortestPalindrome_advanced(self, s: str) -> str: KMP... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shortestPalindrome_front(self, s: str) -> str: 暴力+串后加
- def shortestPalindrome_behind(self, s: str) -> str: 暴力+串前加
- def shortestPalindrome_advanced(self, s: str) -> str: KMP... | 57f303aa6e76f7c5292fa60bffdfddcb4ff9ddfb | <|skeleton|>
class Solution:
def shortestPalindrome_front(self, s: str) -> str:
"""暴力+串后加"""
<|body_0|>
def shortestPalindrome_behind(self, s: str) -> str:
"""暴力+串前加"""
<|body_1|>
def shortestPalindrome_advanced(self, s: str) -> str:
"""KMP 算法"""
<|body_2|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def shortestPalindrome_front(self, s: str) -> str:
"""暴力+串后加"""
if s == '':
return ''
ss = s[::-1]
for i in range(len(s)):
length = len(s) - i
if ss[i:] == s[:length]:
return ss + s[length:]
def shortestPalindro... | the_stack_v2_python_sparse | 4_LEETCODE/11_Interview/网易/1_最短回文串.py | fzingithub/SwordRefers2Offer | train | 1 | |
1492bf743dc047775912780013abdc7a40967e4a | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn InvitedUserMessageInfo()",
"from .recipient import Recipient\nfrom .recipient import Recipient\nfields: Dict[str, Callable[[Any], None]] = {'ccRecipients': lambda n: setattr(self, 'cc_recipients', n.get_collection_of_object_values(Reci... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return InvitedUserMessageInfo()
<|end_body_0|>
<|body_start_1|>
from .recipient import Recipient
from .recipient import Recipient
fields: Dict[str, Callable[[Any], None]] = {'ccRecipien... | InvitedUserMessageInfo | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvitedUserMessageInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InvitedUserMessageInfo:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create ... | stack_v2_sparse_classes_36k_train_024030 | 3,574 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: InvitedUserMessageInfo",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrimina... | 3 | stack_v2_sparse_classes_30k_train_000981 | Implement the Python class `InvitedUserMessageInfo` described below.
Class description:
Implement the InvitedUserMessageInfo class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InvitedUserMessageInfo: Creates a new instance of the appropriate class b... | Implement the Python class `InvitedUserMessageInfo` described below.
Class description:
Implement the InvitedUserMessageInfo class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InvitedUserMessageInfo: Creates a new instance of the appropriate class b... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class InvitedUserMessageInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InvitedUserMessageInfo:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InvitedUserMessageInfo:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> InvitedUserMessageInfo:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Ret... | the_stack_v2_python_sparse | msgraph/generated/models/invited_user_message_info.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
625a75bdb1290636b856394fe67b01093b214843 | [
"s = db.session()\ntry:\n result = Folder.query.filter(or_(and_(Folder.is_sys == True, Folder.pid == pid), and_(Folder.is_sys == False, Folder.pid == pid, Folder.admin_id == admin_id))).order_by(Folder.id).all()\n return [value.to_json() for value in result]\nexcept Exception as e:\n print(e)\n return s... | <|body_start_0|>
s = db.session()
try:
result = Folder.query.filter(or_(and_(Folder.is_sys == True, Folder.pid == pid), and_(Folder.is_sys == False, Folder.pid == pid, Folder.admin_id == admin_id))).order_by(Folder.id).all()
return [value.to_json() for value in result]
ex... | FolderModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FolderModel:
def QueryFolderByParamRequest(self, pid, admin_id):
"""文件夹列表"""
<|body_0|>
def CreateFolderRequest(self, params):
"""新建文件夹"""
<|body_1|>
def ModifyFolderRequest(self, folder_id, params):
"""修改文件夹"""
<|body_2|>
def DelFol... | stack_v2_sparse_classes_36k_train_024031 | 2,905 | permissive | [
{
"docstring": "文件夹列表",
"name": "QueryFolderByParamRequest",
"signature": "def QueryFolderByParamRequest(self, pid, admin_id)"
},
{
"docstring": "新建文件夹",
"name": "CreateFolderRequest",
"signature": "def CreateFolderRequest(self, params)"
},
{
"docstring": "修改文件夹",
"name": "Mo... | 4 | stack_v2_sparse_classes_30k_train_013051 | Implement the Python class `FolderModel` described below.
Class description:
Implement the FolderModel class.
Method signatures and docstrings:
- def QueryFolderByParamRequest(self, pid, admin_id): 文件夹列表
- def CreateFolderRequest(self, params): 新建文件夹
- def ModifyFolderRequest(self, folder_id, params): 修改文件夹
- def Del... | Implement the Python class `FolderModel` described below.
Class description:
Implement the FolderModel class.
Method signatures and docstrings:
- def QueryFolderByParamRequest(self, pid, admin_id): 文件夹列表
- def CreateFolderRequest(self, params): 新建文件夹
- def ModifyFolderRequest(self, folder_id, params): 修改文件夹
- def Del... | 62fe4b3e264176bb582a278c81814ed5ec13caec | <|skeleton|>
class FolderModel:
def QueryFolderByParamRequest(self, pid, admin_id):
"""文件夹列表"""
<|body_0|>
def CreateFolderRequest(self, params):
"""新建文件夹"""
<|body_1|>
def ModifyFolderRequest(self, folder_id, params):
"""修改文件夹"""
<|body_2|>
def DelFol... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FolderModel:
def QueryFolderByParamRequest(self, pid, admin_id):
"""文件夹列表"""
s = db.session()
try:
result = Folder.query.filter(or_(and_(Folder.is_sys == True, Folder.pid == pid), and_(Folder.is_sys == False, Folder.pid == pid, Folder.admin_id == admin_id))).order_by(Folder... | the_stack_v2_python_sparse | collection/v1/folder.py | huzidabanzhang/python-admin | train | 32 | |
2f529f3ddf7bf619c9adbd060d6bbbee550dc6d2 | [
"url = 'https://www.youtube.com/watch?v=videoID'\nid = models.Publication().get_youtube_video_id(url)\nself.assertEqual(id, 'videoID')",
"url = 'https://www.youtube.com/watch?v=videoID&feature=youtu.be'\nid = models.Publication().get_youtube_video_id(url)\nself.assertEqual(id, 'videoID')",
"url = 'https://www.y... | <|body_start_0|>
url = 'https://www.youtube.com/watch?v=videoID'
id = models.Publication().get_youtube_video_id(url)
self.assertEqual(id, 'videoID')
<|end_body_0|>
<|body_start_1|>
url = 'https://www.youtube.com/watch?v=videoID&feature=youtu.be'
id = models.Publication().get_you... | PublicationModelTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PublicationModelTestCase:
def test_get_youtube_video_id_with_v(self):
"""Extract Youtube video id from url with 'v' parameter"""
<|body_0|>
def test_get_youtube_video_id_with_multiple_parameters(self):
"""Extract Youtube video id from url with 'v' and other parameter... | stack_v2_sparse_classes_36k_train_024032 | 3,275 | no_license | [
{
"docstring": "Extract Youtube video id from url with 'v' parameter",
"name": "test_get_youtube_video_id_with_v",
"signature": "def test_get_youtube_video_id_with_v(self)"
},
{
"docstring": "Extract Youtube video id from url with 'v' and other parameters",
"name": "test_get_youtube_video_id... | 5 | stack_v2_sparse_classes_30k_train_011542 | Implement the Python class `PublicationModelTestCase` described below.
Class description:
Implement the PublicationModelTestCase class.
Method signatures and docstrings:
- def test_get_youtube_video_id_with_v(self): Extract Youtube video id from url with 'v' parameter
- def test_get_youtube_video_id_with_multiple_par... | Implement the Python class `PublicationModelTestCase` described below.
Class description:
Implement the PublicationModelTestCase class.
Method signatures and docstrings:
- def test_get_youtube_video_id_with_v(self): Extract Youtube video id from url with 'v' parameter
- def test_get_youtube_video_id_with_multiple_par... | 347836d856c01b08fcd426cb676ab3c3e17237a6 | <|skeleton|>
class PublicationModelTestCase:
def test_get_youtube_video_id_with_v(self):
"""Extract Youtube video id from url with 'v' parameter"""
<|body_0|>
def test_get_youtube_video_id_with_multiple_parameters(self):
"""Extract Youtube video id from url with 'v' and other parameter... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PublicationModelTestCase:
def test_get_youtube_video_id_with_v(self):
"""Extract Youtube video id from url with 'v' parameter"""
url = 'https://www.youtube.com/watch?v=videoID'
id = models.Publication().get_youtube_video_id(url)
self.assertEqual(id, 'videoID')
def test_get... | the_stack_v2_python_sparse | backoffice/tests.py | nicolas-pantel/MiWo | train | 0 | |
d9d364f9b7086f945e2236ffdac438d52d111c8f | [
"len_A = len(A)\nsum_matrix = [[0 for _ in range(len_A)] for _ in range(len_A)]\nout = 0\nfor i in range(len_A - 1, -1, -1):\n for j in range(i, len_A):\n if i == j:\n sum_matrix[i][j] = A[i]\n else:\n sum_matrix[i][j] = sum_matrix[i + 1][j] + sum_matrix[i][i]\n if sum_... | <|body_start_0|>
len_A = len(A)
sum_matrix = [[0 for _ in range(len_A)] for _ in range(len_A)]
out = 0
for i in range(len_A - 1, -1, -1):
for j in range(i, len_A):
if i == j:
sum_matrix[i][j] = A[i]
else:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subarraysDivByK(self, A: List[int], K: int) -> int:
"""给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:"""
<|body_0|>
def subarraysDivByK2(self, A: List[int], K: int) -> int:
"""给定一个整数数组 A，返回其中元素之和可被 K 整除的（连... | stack_v2_sparse_classes_36k_train_024033 | 1,956 | no_license | [
{
"docstring": "给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:",
"name": "subarraysDivByK",
"signature": "def subarraysDivByK(self, A: List[int], K: int) -> int"
},
{
"docstring": "给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 前缀和 + 同余定理，明天搞定 :param A:... | 2 | stack_v2_sparse_classes_30k_train_017383 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraysDivByK(self, A: List[int], K: int) -> int: 给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:
- def subarraysDivByK2(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraysDivByK(self, A: List[int], K: int) -> int: 给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:
- def subarraysDivByK2(self... | f7421522c437c952698736dbac8fb7ac6c0b8b88 | <|skeleton|>
class Solution:
def subarraysDivByK(self, A: List[int], K: int) -> int:
"""给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:"""
<|body_0|>
def subarraysDivByK2(self, A: List[int], K: int) -> int:
"""给定一个整数数组 A，返回其中元素之和可被 K 整除的（连... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def subarraysDivByK(self, A: List[int], K: int) -> int:
"""给定一个整数数组 A，返回其中元素之和可被 K 整除的（连续、非空）子数组的数目。 遍历每个子串求和，是否整除K，time out :param A: :param K: :return:"""
len_A = len(A)
sum_matrix = [[0 for _ in range(len_A)] for _ in range(len_A)]
out = 0
for i in range(le... | the_stack_v2_python_sparse | leetcode/daily_question/20200527_subarr_divbyk.py | whitepaper2/data_beauty | train | 0 | |
24ee2d99cff2e108f138bd61bd128ca9d8e0c17d | [
"required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]\nif project == 'CMIP6':\n required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'Ofx'}]\nreturn required",
"cube = cubes.extract_cube(Constraint(cube_func=lambda c: c.var_name == 'thetao'))\nvolume = cubes.extract... | <|body_start_0|>
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]
if project == 'CMIP6':
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'Ofx'}]
return required
<|end_body_0|>
<|body_start_1|>
cube = cubes.extract_cube(Co... | Derivation of variable `ohc`. | DerivedVariable | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
<|body_0|>
def calculate(cubes):
"""Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.)... | stack_v2_sparse_classes_36k_train_024034 | 2,789 | permissive | [
{
"docstring": "Declare the variables needed for derivation.",
"name": "required",
"signature": "def required(project)"
},
{
"docstring": "Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.) Arguments --------- cube: iris.cube.Cube input cube. Ret... | 2 | stack_v2_sparse_classes_30k_train_021138 | Implement the Python class `DerivedVariable` described below.
Class description:
Derivation of variable `ohc`.
Method signatures and docstrings:
- def required(project): Declare the variables needed for derivation.
- def calculate(cubes): Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et a... | Implement the Python class `DerivedVariable` described below.
Class description:
Derivation of variable `ohc`.
Method signatures and docstrings:
- def required(project): Declare the variables needed for derivation.
- def calculate(cubes): Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et a... | d5187438fea2928644cb53ecb26c6adb1e4cc947 | <|skeleton|>
class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
<|body_0|>
def calculate(cubes):
"""Compute ocean heat content. Use c_p*rho_0= 4.09169e+6 J m-3 K-1 (Kuhlbrodt et al., 2015, Clim. Dyn.)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DerivedVariable:
"""Derivation of variable `ohc`."""
def required(project):
"""Declare the variables needed for derivation."""
required = [{'short_name': 'thetao'}, {'short_name': 'volcello', 'mip': 'fx'}]
if project == 'CMIP6':
required = [{'short_name': 'thetao'}, {'... | the_stack_v2_python_sparse | esmvalcore/preprocessor/_derive/ohc.py | ESMValGroup/ESMValCore | train | 41 |
052c9d398dc42ca204de3ae408302e861f7efc1a | [
"reader = csv.reader(data)\nnext(reader)\nreturn collections.Counter(map(lambda item: self.safe_name(item[4]), filter(lambda item: len(item[1].split('-')) != 2, reader)))",
"if self.record[self.safe_name(name)] > 1:\n name = f'{name}_0x{code}'\nreturn self.safe_name(name)",
"reader = csv.reader(data)\nnext(r... | <|body_start_0|>
reader = csv.reader(data)
next(reader)
return collections.Counter(map(lambda item: self.safe_name(item[4]), filter(lambda item: len(item[1].split('-')) != 2, reader)))
<|end_body_0|>
<|body_start_1|>
if self.record[self.safe_name(name)] > 1:
name = f'{name}_... | Ethertype IEEE 802 Numbers | EtherType | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EtherType:
"""Ethertype IEEE 802 Numbers"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
<|body_0|>
def rename(self, name, code):
"""Rename duplicated fields. Args: name (str): Field name.... | stack_v2_sparse_classes_36k_train_024035 | 3,362 | permissive | [
{
"docstring": "Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.",
"name": "count",
"signature": "def count(self, data)"
},
{
"docstring": "Rename duplicated fields. Args: name (str): Field name. code (str): Field code (hex). Keyword Args: original (str)... | 3 | null | Implement the Python class `EtherType` described below.
Class description:
Ethertype IEEE 802 Numbers
Method signatures and docstrings:
- def count(self, data): Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.
- def rename(self, name, code): Rename duplicated fields. Args: na... | Implement the Python class `EtherType` described below.
Class description:
Ethertype IEEE 802 Numbers
Method signatures and docstrings:
- def count(self, data): Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings.
- def rename(self, name, code): Rename duplicated fields. Args: na... | 90cd07d67df28d5c5ab0585bc60f467a78d9db33 | <|skeleton|>
class EtherType:
"""Ethertype IEEE 802 Numbers"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
<|body_0|>
def rename(self, name, code):
"""Rename duplicated fields. Args: name (str): Field name.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EtherType:
"""Ethertype IEEE 802 Numbers"""
def count(self, data):
"""Count field records. Args: data (List[str]): CSV data. Returns: Counter: Field recordings."""
reader = csv.reader(data)
next(reader)
return collections.Counter(map(lambda item: self.safe_name(item[4]), f... | the_stack_v2_python_sparse | pcapkit/vendor/reg/ethertype.py | stjordanis/PyPCAPKit | train | 0 |
865c9c5272e70dcf34c3fd89acdcd33e4d463d16 | [
"run_local_command_mock.return_value = [0, 'blah blah\\n381.99, GTX 1080 \\n']\ndriver, gpu_info = nvidia.get_gpu_info()\nself.assertEqual('381.99', driver)\nself.assertEqual('GTX 1080', gpu_info)",
"run_local_command_mock.return_value = [0, 'blah\\n200.99, Quadro K900 \\n381.99, GTX 1080\\n']\ndriver, gpu_info =... | <|body_start_0|>
run_local_command_mock.return_value = [0, 'blah blah\n381.99, GTX 1080 \n']
driver, gpu_info = nvidia.get_gpu_info()
self.assertEqual('381.99', driver)
self.assertEqual('GTX 1080', gpu_info)
<|end_body_0|>
<|body_start_1|>
run_local_command_mock.return_value = [... | TestNvidiaTools | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestNvidiaTools:
def test_get_gpu_info(self, run_local_command_mock):
"""Tests get gpu info parses expected value into expected components."""
<|body_0|>
def test_get_gpu_info_quadro(self, run_local_command_mock):
"""Tests gpu info returns second entry if first entry... | stack_v2_sparse_classes_36k_train_024036 | 2,108 | permissive | [
{
"docstring": "Tests get gpu info parses expected value into expected components.",
"name": "test_get_gpu_info",
"signature": "def test_get_gpu_info(self, run_local_command_mock)"
},
{
"docstring": "Tests gpu info returns second entry if first entry is a Quadro.",
"name": "test_get_gpu_info... | 5 | stack_v2_sparse_classes_30k_train_009616 | Implement the Python class `TestNvidiaTools` described below.
Class description:
Implement the TestNvidiaTools class.
Method signatures and docstrings:
- def test_get_gpu_info(self, run_local_command_mock): Tests get gpu info parses expected value into expected components.
- def test_get_gpu_info_quadro(self, run_loc... | Implement the Python class `TestNvidiaTools` described below.
Class description:
Implement the TestNvidiaTools class.
Method signatures and docstrings:
- def test_get_gpu_info(self, run_local_command_mock): Tests get gpu info parses expected value into expected components.
- def test_get_gpu_info_quadro(self, run_loc... | b9f84203edad5e7e92161a9a634319db99631f3a | <|skeleton|>
class TestNvidiaTools:
def test_get_gpu_info(self, run_local_command_mock):
"""Tests get gpu info parses expected value into expected components."""
<|body_0|>
def test_get_gpu_info_quadro(self, run_local_command_mock):
"""Tests gpu info returns second entry if first entry... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestNvidiaTools:
def test_get_gpu_info(self, run_local_command_mock):
"""Tests get gpu info parses expected value into expected components."""
run_local_command_mock.return_value = [0, 'blah blah\n381.99, GTX 1080 \n']
driver, gpu_info = nvidia.get_gpu_info()
self.assertEqual('... | the_stack_v2_python_sparse | oss_bench/tools/nvidia_test.py | tfboyd/benchmark_harness | train | 7 | |
98d97723ad272be70750d1be87e674158f396564 | [
"self.prefix = [m[:] for m in matrix]\nself.m = len(matrix)\nself.n = len(matrix[0]) if matrix else 0\nif self.m == 0 or self.n == 0:\n return\nfor i in range(self.m):\n for j in range(1, self.n):\n self.prefix[i][j] += self.prefix[i][j - 1]\nfor j in range(self.n):\n for i in range(1, self.m):\n ... | <|body_start_0|>
self.prefix = [m[:] for m in matrix]
self.m = len(matrix)
self.n = len(matrix[0]) if matrix else 0
if self.m == 0 or self.n == 0:
return
for i in range(self.m):
for j in range(1, self.n):
self.prefix[i][j] += self.prefix[i]... | NumMatrix | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
<|body_0|>
def sumRegion(self, row1, col1, row2, col2):
""":type row1: int :type col1: int :type row2: int :type col2: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_024037 | 1,360 | 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 | null | 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:... | 0e35e4cc87bd41144b8e34302aafe776fec1b356 | <|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_36k | data/stack_v2_sparse_classes_30k | class NumMatrix:
def __init__(self, matrix):
""":type matrix: List[List[int]]"""
self.prefix = [m[:] for m in matrix]
self.m = len(matrix)
self.n = len(matrix[0]) if matrix else 0
if self.m == 0 or self.n == 0:
return
for i in range(self.m):
fo... | the_stack_v2_python_sparse | LeetCode/304-range_sum_query_2d_immutable.py | davll/practical-algorithms | train | 0 | |
0d8d92882f5ae73c5e0331d4909fc18495c4e7eb | [
"res = []\ncur = []\nnum_of_letters = 0\nfor w in words:\n if num_of_letters + len(w) + len(cur) > maxWidth:\n for i in range(maxWidth - num_of_letters):\n cur[i % (len(cur) - 1 or 1)] += ' '\n res.append(''.join(cur))\n cur = []\n num_of_letters = 0\n cur += [w]\n nu... | <|body_start_0|>
res = []
cur = []
num_of_letters = 0
for w in words:
if num_of_letters + len(w) + len(cur) > maxWidth:
for i in range(maxWidth - num_of_letters):
cur[i % (len(cur) - 1 or 1)] += ' '
res.append(''.join(cur))
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def fullJustify(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_0|>
def rewrite(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>... | stack_v2_sparse_classes_36k_train_024038 | 3,757 | no_license | [
{
"docstring": ":type words: List[str] :type maxWidth: int :rtype: List[str]",
"name": "fullJustify",
"signature": "def fullJustify(self, words, maxWidth)"
},
{
"docstring": ":type words: List[str] :type maxWidth: int :rtype: List[str]",
"name": "rewrite",
"signature": "def rewrite(self,... | 2 | stack_v2_sparse_classes_30k_train_019230 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fullJustify(self, words, maxWidth): :type words: List[str] :type maxWidth: int :rtype: List[str]
- def rewrite(self, words, maxWidth): :type words: List[str] :type maxWidth: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def fullJustify(self, words, maxWidth): :type words: List[str] :type maxWidth: int :rtype: List[str]
- def rewrite(self, words, maxWidth): :type words: List[str] :type maxWidth: ... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def fullJustify(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_0|>
def rewrite(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def fullJustify(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
res = []
cur = []
num_of_letters = 0
for w in words:
if num_of_letters + len(w) + len(cur) > maxWidth:
for i in range(maxWidt... | the_stack_v2_python_sparse | co_linkedin/68_Text_Justification.py | vsdrun/lc_public | train | 6 | |
c05fe822e5fa5d462086dcca868ff740348f571c | [
"self.key: Optional[str] = None\nself.threshold: Optional[float] = None\nself.relation: Optional[str] = None\nkwargs.setdefault('relation', 'lt')\nkwargs.setdefault('key', 'ft_loss')\nkwargs.setdefault('threshold', 0.0)\nself.__dict__.update(kwargs)\nself.trainer = trainer\nlogging.info(f'Scorer-Configuration: {sel... | <|body_start_0|>
self.key: Optional[str] = None
self.threshold: Optional[float] = None
self.relation: Optional[str] = None
kwargs.setdefault('relation', 'lt')
kwargs.setdefault('key', 'ft_loss')
kwargs.setdefault('threshold', 0.0)
self.__dict__.update(kwargs)
... | Scorer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scorer:
def __init__(self, trainer: Engine, **kwargs):
"""Parameters ---------- trainer : Engine The training-engine"""
<|body_0|>
def __call__(self, engine: Engine):
"""Determines an improvement during training."""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_36k_train_024039 | 4,775 | permissive | [
{
"docstring": "Parameters ---------- trainer : Engine The training-engine",
"name": "__init__",
"signature": "def __init__(self, trainer: Engine, **kwargs)"
},
{
"docstring": "Determines an improvement during training.",
"name": "__call__",
"signature": "def __call__(self, engine: Engin... | 2 | stack_v2_sparse_classes_30k_train_008292 | Implement the Python class `Scorer` described below.
Class description:
Implement the Scorer class.
Method signatures and docstrings:
- def __init__(self, trainer: Engine, **kwargs): Parameters ---------- trainer : Engine The training-engine
- def __call__(self, engine: Engine): Determines an improvement during train... | Implement the Python class `Scorer` described below.
Class description:
Implement the Scorer class.
Method signatures and docstrings:
- def __init__(self, trainer: Engine, **kwargs): Parameters ---------- trainer : Engine The training-engine
- def __call__(self, engine: Engine): Determines an improvement during train... | a511b03a2a2577d4ce372aa44e475df8005eb394 | <|skeleton|>
class Scorer:
def __init__(self, trainer: Engine, **kwargs):
"""Parameters ---------- trainer : Engine The training-engine"""
<|body_0|>
def __call__(self, engine: Engine):
"""Determines an improvement during training."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Scorer:
def __init__(self, trainer: Engine, **kwargs):
"""Parameters ---------- trainer : Engine The training-engine"""
self.key: Optional[str] = None
self.threshold: Optional[float] = None
self.relation: Optional[str] = None
kwargs.setdefault('relation', 'lt')
... | the_stack_v2_python_sparse | enel_service/modeling/losses.py | dos-group/enel-experiments | train | 2 | |
ac002677d76544540f077ca4c941b5bbc524e074 | [
"l = 0\nr = len(nums) - 1\nmid = self.findMid(l, r, nums, target)\nif mid != -1:\n l = mid\n r = mid\n while l >= 0 and nums[l] == target:\n l -= 1\n while r < len(nums) and nums[r] == target:\n r += 1\n return [l + 1, r - 1]\nreturn [-1, -1]",
"while l <= r:\n mid = (l + r) / 2\n ... | <|body_start_0|>
l = 0
r = len(nums) - 1
mid = self.findMid(l, r, nums, target)
if mid != -1:
l = mid
r = mid
while l >= 0 and nums[l] == target:
l -= 1
while r < len(nums) and nums[r] == target:
r += 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchRange(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def findMid(self, l, r, nums, target):
"""Binary search"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
l = 0
r = len(n... | stack_v2_sparse_classes_36k_train_024040 | 845 | no_license | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "searchRange",
"signature": "def searchRange(self, nums, target)"
},
{
"docstring": "Binary search",
"name": "findMid",
"signature": "def findMid(self, l, r, nums, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016756 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchRange(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def findMid(self, l, r, nums, target): Binary search | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchRange(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def findMid(self, l, r, nums, target): Binary search
<|skeleton|>
class Solution... | ca8b2662330776d14962532ed8994dfeedadef70 | <|skeleton|>
class Solution:
def searchRange(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def findMid(self, l, r, nums, target):
"""Binary search"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def searchRange(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
l = 0
r = len(nums) - 1
mid = self.findMid(l, r, nums, target)
if mid != -1:
l = mid
r = mid
while l >= 0 and nums[l] == ta... | the_stack_v2_python_sparse | Algo/Leetcode/034FirstAndLastPosInSortedArray.py | lawy623/Algorithm_Interview_Prep | train | 2 | |
6296f588d6a7a0f8b7e1cd7a392651324faad27d | [
"if numRows in self.check_list:\n return self.check_list[numRows]\nif numRows == 1:\n self.check_list[numRows] = [1]\n return [1]\nprev = self.generate_helper(numRows - 1)\ni = 0\nlst = [1]\nwhile i < len(prev) - 1:\n lst.append(prev[i] + prev[i + 1])\n i += 1\nlst.append(1)\nself.check_list[numRows]... | <|body_start_0|>
if numRows in self.check_list:
return self.check_list[numRows]
if numRows == 1:
self.check_list[numRows] = [1]
return [1]
prev = self.generate_helper(numRows - 1)
i = 0
lst = [1]
while i < len(prev) - 1:
lst... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate_helper(self, numRows):
""":type numRows: int :rtype: List[int]"""
<|body_0|>
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if numRows in self.check_l... | stack_v2_sparse_classes_36k_train_024041 | 1,700 | no_license | [
{
"docstring": ":type numRows: int :rtype: List[int]",
"name": "generate_helper",
"signature": "def generate_helper(self, numRows)"
},
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate",
"signature": "def generate(self, numRows)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate_helper(self, numRows): :type numRows: int :rtype: List[int]
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate_helper(self, numRows): :type numRows: int :rtype: List[int]
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
<|skeleton|>
class Solution:
... | f7c165fedbdc9811fb7f1d2a43c797f5b5ac5322 | <|skeleton|>
class Solution:
def generate_helper(self, numRows):
""":type numRows: int :rtype: List[int]"""
<|body_0|>
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def generate_helper(self, numRows):
""":type numRows: int :rtype: List[int]"""
if numRows in self.check_list:
return self.check_list[numRows]
if numRows == 1:
self.check_list[numRows] = [1]
return [1]
prev = self.generate_helper(num... | the_stack_v2_python_sparse | pascal1.py | ilkaynazli/challenges | train | 0 | |
f94bdabda09a1dc0c9fee1917f6dafeccbed6270 | [
"def sort_rule(x, y):\n a, b = (x + y, y + x)\n if a > b:\n return 1\n elif a < b:\n return -1\n else:\n return 0\nstrs = [str(num) for num in nums]\nstrs.sort(key=functools.cmp_to_key(sort_rule))\nreturn ''.join(strs)",
"def fast_sort(l, r):\n if l >= r:\n return\n i... | <|body_start_0|>
def sort_rule(x, y):
a, b = (x + y, y + x)
if a > b:
return 1
elif a < b:
return -1
else:
return 0
strs = [str(num) for num in nums]
strs.sort(key=functools.cmp_to_key(sort_rule))
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minNumber_1(self, nums: List[int]) -> str:
"""自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:"""
<|body_0|>
def minNumber_2(self, nums: List[int]) -> str:
"""自定义排序 使用快速排序 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:"""
<|... | stack_v2_sparse_classes_36k_train_024042 | 2,068 | no_license | [
{
"docstring": "自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:",
"name": "minNumber_1",
"signature": "def minNumber_1(self, nums: List[int]) -> str"
},
{
"docstring": "自定义排序 使用快速排序 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:",
"name": "minNumber_2",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_005480 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minNumber_1(self, nums: List[int]) -> str: 自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:
- def minNumber_2(self, nums: List[int]) -> str: 自定义排序 使用快速排序 ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minNumber_1(self, nums: List[int]) -> str: 自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:
- def minNumber_2(self, nums: List[int]) -> str: 自定义排序 使用快速排序 ... | 62419b49000e79962bcdc99cd98afd2fb82ea345 | <|skeleton|>
class Solution:
def minNumber_1(self, nums: List[int]) -> str:
"""自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:"""
<|body_0|>
def minNumber_2(self, nums: List[int]) -> str:
"""自定义排序 使用快速排序 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def minNumber_1(self, nums: List[int]) -> str:
"""自定义排序 使用python内置排序函数 时间复杂度 O(NlogN) 空间复杂度 O(N) :param nums: :return:"""
def sort_rule(x, y):
a, b = (x + y, y + x)
if a > b:
return 1
elif a < b:
return -1
... | the_stack_v2_python_sparse | 剑指 Offer（第 2 版）/minNumber.py | MaoningGuan/LeetCode | train | 3 | |
a1491a6ffffb229756e3b21af6431ba042fa5fd4 | [
"fake_cfg = mock.MagicMock()\nfake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH\nfake_cfg.machine_type = self.MACHINE_TYPE\nfake_cfg.network = self.NETWORK\nfake_cfg.zone = self.ZONE\nfake_cfg.resolution = '{x}x{y}x32x{dpi}'.format(x=self.X_RES, y=self.Y_RES, dpi=self.DPI)\nfake_cfg.metadata_variable = self.M... | <|body_start_0|>
fake_cfg = mock.MagicMock()
fake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH
fake_cfg.machine_type = self.MACHINE_TYPE
fake_cfg.network = self.NETWORK
fake_cfg.zone = self.ZONE
fake_cfg.resolution = '{x}x{y}x32x{dpi}'.format(x=self.X_RES, y=self.Y_... | Test GoldfishComputeClient. | GoldfishComputeClientTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoldfishComputeClientTest:
"""Test GoldfishComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
<|body_0|>
def setUp(self):
"""Set up the test."""
<|body_1|>
def testCreateIn... | stack_v2_sparse_classes_36k_train_024043 | 5,985 | permissive | [
{
"docstring": "Create a fake configuration object. Returns: A fake configuration mock object.",
"name": "_GetFakeConfig",
"signature": "def _GetFakeConfig(self)"
},
{
"docstring": "Set up the test.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test CreateI... | 3 | stack_v2_sparse_classes_30k_train_014726 | Implement the Python class `GoldfishComputeClientTest` described below.
Class description:
Test GoldfishComputeClient.
Method signatures and docstrings:
- def _GetFakeConfig(self): Create a fake configuration object. Returns: A fake configuration mock object.
- def setUp(self): Set up the test.
- def testCreateInstan... | Implement the Python class `GoldfishComputeClientTest` described below.
Class description:
Test GoldfishComputeClient.
Method signatures and docstrings:
- def _GetFakeConfig(self): Create a fake configuration object. Returns: A fake configuration mock object.
- def setUp(self): Set up the test.
- def testCreateInstan... | 78a61ca023cbf1a0cecfef8b97df2b274ac3a988 | <|skeleton|>
class GoldfishComputeClientTest:
"""Test GoldfishComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
<|body_0|>
def setUp(self):
"""Set up the test."""
<|body_1|>
def testCreateIn... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GoldfishComputeClientTest:
"""Test GoldfishComputeClient."""
def _GetFakeConfig(self):
"""Create a fake configuration object. Returns: A fake configuration mock object."""
fake_cfg = mock.MagicMock()
fake_cfg.ssh_public_key_path = self.SSH_PUBLIC_KEY_PATH
fake_cfg.machine_... | the_stack_v2_python_sparse | tools/acloud/internal/lib/goldfish_compute_client_test.py | ZYHGOD-1/Aosp11 | train | 0 |
468baf1e64e993c75261dca4da26a130cda50195 | [
"a = nums[0]\nwhile a != nums[a]:\n temp = nums[a]\n nums[a] = a\n a = temp\nreturn a",
"ans = 1\nl, r = (1, len(nums) - 1)\nwhile l <= r:\n m = (l + r) // 2\n n_smaller = sum((1 for n in nums if n < m))\n if n_smaller >= m:\n r = m - 1\n else:\n ans = m\n l = m + 1\nretu... | <|body_start_0|>
a = nums[0]
while a != nums[a]:
temp = nums[a]
nums[a] = a
a = temp
return a
<|end_body_0|>
<|body_start_1|>
ans = 1
l, r = (1, len(nums) - 1)
while l <= r:
m = (l + r) // 2
n_smaller = sum((1 f... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findDuplicate(self, nums: List[int]) -> int:
"""In-place O(N) / O(1)"""
<|body_0|>
def findDuplicate(self, nums: List[int]) -> int:
"""특정 숫자 m보다 작은 원소의 갯수가 m개 이상이면 그보다 작은 숫자에 겹치는 숫자가 있다는 뜻. (m-1개 이하이면 그와 같거나 큰 숫자에 정답이 있다) Binary Search로 해결. 미친 솔루션. 이렇게 ... | stack_v2_sparse_classes_36k_train_024044 | 1,969 | no_license | [
{
"docstring": "In-place O(N) / O(1)",
"name": "findDuplicate",
"signature": "def findDuplicate(self, nums: List[int]) -> int"
},
{
"docstring": "특정 숫자 m보다 작은 원소의 갯수가 m개 이상이면 그보다 작은 숫자에 겹치는 숫자가 있다는 뜻. (m-1개 이하이면 그와 같거나 큰 숫자에 정답이 있다) Binary Search로 해결. 미친 솔루션. 이렇게 정답 자체를 가정하고, 범위를 줄여가면서 푸는 테크닉을 알... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDuplicate(self, nums: List[int]) -> int: In-place O(N) / O(1)
- def findDuplicate(self, nums: List[int]) -> int: 특정 숫자 m보다 작은 원소의 갯수가 m개 이상이면 그보다 작은 숫자에 겹치는 숫자가 있다는 뜻. (m... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDuplicate(self, nums: List[int]) -> int: In-place O(N) / O(1)
- def findDuplicate(self, nums: List[int]) -> int: 특정 숫자 m보다 작은 원소의 갯수가 m개 이상이면 그보다 작은 숫자에 겹치는 숫자가 있다는 뜻. (m... | c26aef2a59e5cc2d9b0658b9c7386a43267ff8a1 | <|skeleton|>
class Solution:
def findDuplicate(self, nums: List[int]) -> int:
"""In-place O(N) / O(1)"""
<|body_0|>
def findDuplicate(self, nums: List[int]) -> int:
"""특정 숫자 m보다 작은 원소의 갯수가 m개 이상이면 그보다 작은 숫자에 겹치는 숫자가 있다는 뜻. (m-1개 이하이면 그와 같거나 큰 숫자에 정답이 있다) Binary Search로 해결. 미친 솔루션. 이렇게 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findDuplicate(self, nums: List[int]) -> int:
"""In-place O(N) / O(1)"""
a = nums[0]
while a != nums[a]:
temp = nums[a]
nums[a] = a
a = temp
return a
def findDuplicate(self, nums: List[int]) -> int:
"""특정 숫자 m보다 작은 원... | the_stack_v2_python_sparse | Leetcode/287.py | hanwgyu/algorithm_problem_solving | train | 5 | |
8d46ebc4d5c8160b8f352f3d26cd960d0422e4fe | [
"if file_resources is None:\n file_resources = {}\n file_resources['alldata.txt'] = 'alldata.txt'\nsuper().__init__(path, file_resources, col_rename=col_rename, **kwargs)",
"df = pd.read_csv(file_resources['alldata.txt'], sep='\\t', encoding='unicode_escape')\ndf['disease'] = df['disease'].str.lower()\nretu... | <|body_start_0|>
if file_resources is None:
file_resources = {}
file_resources['alldata.txt'] = 'alldata.txt'
super().__init__(path, file_resources, col_rename=col_rename, **kwargs)
<|end_body_0|>
<|body_start_1|>
df = pd.read_csv(file_resources['alldata.txt'], sep='\t',... | Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", } | HMDD | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HMDD:
"""Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", }"""
def __init__(self, path='http://www.cuilab.cn/static/hmdd3/data/', file_resources=None, col_renam... | stack_v2_sparse_classes_36k_train_024045 | 6,117 | permissive | [
{
"docstring": "Args: path: file_resources: col_rename: **kwargs:",
"name": "__init__",
"signature": "def __init__(self, path='http://www.cuilab.cn/static/hmdd3/data/', file_resources=None, col_rename=COLUMNS_RENAME_DICT, **kwargs)"
},
{
"docstring": "Args: file_resources: blocksize:",
"name... | 2 | stack_v2_sparse_classes_30k_train_020732 | Implement the Python class `HMDD` described below.
Class description:
Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", }
Method signatures and docstrings:
- def __init__(self, path='http... | Implement the Python class `HMDD` described below.
Class description:
Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", }
Method signatures and docstrings:
- def __init__(self, path='http... | 35a0e00964c9b308f831263936f9507a69f52613 | <|skeleton|>
class HMDD:
"""Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", }"""
def __init__(self, path='http://www.cuilab.cn/static/hmdd3/data/', file_resources=None, col_renam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HMDD:
"""Loads the HMDD database from "http://www.cuilab.cn/static/hmdd3" . Default path: "http://www.cuilab.cn/static/hmdd3/data/" . Default file_resources: { "alldata.txt": "alldata.txt", }"""
def __init__(self, path='http://www.cuilab.cn/static/hmdd3/data/', file_resources=None, col_rename=COLUMNS_REN... | the_stack_v2_python_sparse | openomics/database/disease.py | JonnyTran/OpenOmics | train | 8 |
a91fa25daa5f1a1027838972c8a29d383aaf128c | [
"startTime = datetime.datetime.now()\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('raykatz_nedg_gaudiosi', 'raykatz_nedg_gaudiosi')\nrepo.dropCollection('housing_percentages')\nrepo.createCollection('housing_percentages')\nrepo.raykatz_nedg_gaudiosi.housing.aggregate([{'$project': {'zi... | <|body_start_0|>
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('raykatz_nedg_gaudiosi', 'raykatz_nedg_gaudiosi')
repo.dropCollection('housing_percentages')
repo.createCollection('housing_percentages')
r... | housing_percentages | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class housing_percentages:
def execute(trial=False):
"""Merge zipcode info"""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening in this script. Each run of the script wi... | stack_v2_sparse_classes_36k_train_024046 | 4,085 | no_license | [
{
"docstring": "Merge zipcode info",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a new document describing that invocation event.",
"name": "p... | 2 | null | Implement the Python class `housing_percentages` described below.
Class description:
Implement the housing_percentages class.
Method signatures and docstrings:
- def execute(trial=False): Merge zipcode info
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): Create the provenance document d... | Implement the Python class `housing_percentages` described below.
Class description:
Implement the housing_percentages class.
Method signatures and docstrings:
- def execute(trial=False): Merge zipcode info
- def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None): Create the provenance document d... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class housing_percentages:
def execute(trial=False):
"""Merge zipcode info"""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing everything happening in this script. Each run of the script wi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class housing_percentages:
def execute(trial=False):
"""Merge zipcode info"""
startTime = datetime.datetime.now()
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('raykatz_nedg_gaudiosi', 'raykatz_nedg_gaudiosi')
repo.dropCollection('housing_per... | the_stack_v2_python_sparse | raykatz_nedg_gaudiosi/housing_percentages.py | ROODAY/course-2017-fal-proj | train | 3 | |
ccafca77f3de5fa63479aa6a1f9b9bbbdabfc0a1 | [
"if not request.user.is_authenticated:\n return redirect('Plein:plein')\naccount = request.user\ngast = account.gastregistratie_set.first()\nif not gast:\n return redirect('Plein:plein')\nif gast.fase == REGISTRATIE_FASE_COMPLEET:\n return redirect('Plein:plein')\nreturn super().dispatch(request, *args, **... | <|body_start_0|>
if not request.user.is_authenticated:
return redirect('Plein:plein')
account = request.user
gast = account.gastregistratie_set.first()
if not gast:
return redirect('Plein:plein')
if gast.fase == REGISTRATIE_FASE_COMPLEET:
retur... | Deze view geeft de landing page om de gebruiker het proces uit te leggen. | RegistreerGastVervolgView | [
"BSD-3-Clause-Clear"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegistreerGastVervolgView:
"""Deze view geeft de landing page om de gebruiker het proces uit te leggen."""
def dispatch(self, request, *args, **kwargs):
"""wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik"""
<|body_0|>
def get_context_data(self, **k... | stack_v2_sparse_classes_36k_train_024047 | 28,294 | permissive | [
{
"docstring": "wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik",
"name": "dispatch",
"signature": "def dispatch(self, request, *args, **kwargs)"
},
{
"docstring": "called by the template system to get the context data for the template",
"name": "get_context_data",
... | 2 | null | Implement the Python class `RegistreerGastVervolgView` described below.
Class description:
Deze view geeft de landing page om de gebruiker het proces uit te leggen.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik
... | Implement the Python class `RegistreerGastVervolgView` described below.
Class description:
Deze view geeft de landing page om de gebruiker het proces uit te leggen.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik
... | 5ed38165a231f0caa56f67e8faf2dd074916e500 | <|skeleton|>
class RegistreerGastVervolgView:
"""Deze view geeft de landing page om de gebruiker het proces uit te leggen."""
def dispatch(self, request, *args, **kwargs):
"""wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik"""
<|body_0|>
def get_context_data(self, **k... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RegistreerGastVervolgView:
"""Deze view geeft de landing page om de gebruiker het proces uit te leggen."""
def dispatch(self, request, *args, **kwargs):
"""wegsturen als het we geen vragen meer hebben + bij oneigenlijk gebruik"""
if not request.user.is_authenticated:
return re... | the_stack_v2_python_sparse | Registreer/view_registreer_gast.py | RamonvdW/nhb-apps | train | 2 |
22bebda96d1e9f13f29b160954692e61e8739e44 | [
"if not root or (root.left == None and root.right == None):\n if not root:\n pass\n else:\n pass\n return root\nleft = self.flatten(root.left)\nright = self.flatten(root.right)\nroot.left = None\nif left:\n root.right = left\n while left.right:\n left = left.right\n left.right... | <|body_start_0|>
if not root or (root.left == None and root.right == None):
if not root:
pass
else:
pass
return root
left = self.flatten(root.left)
right = self.flatten(root.right)
root.left = None
if left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def flatten_fail(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten_myself(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.... | stack_v2_sparse_classes_36k_train_024048 | 3,580 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "flatten_fail",
"signature": "def flatten_fail(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.",
"name": "... | 2 | stack_v2_sparse_classes_30k_train_018584 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten_fail(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.
- def flatten_myself(self, root): :type root: TreeNode :rtyp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flatten_fail(self, root): :type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.
- def flatten_myself(self, root): :type root: TreeNode :rtyp... | 93266095329e2e8e949a72371b88b07382a60e0d | <|skeleton|>
class Solution:
def flatten_fail(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
<|body_0|>
def flatten_myself(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def flatten_fail(self, root):
""":type root: TreeNode :rtype: void Do not return anything, modify root in-place instead."""
if not root or (root.left == None and root.right == None):
if not root:
pass
else:
pass
retu... | the_stack_v2_python_sparse | flatten_114.py | shivangi-prog/leetcode | train | 0 | |
062cb0a03e9e0d28a433e76ce216ab3434960fbf | [
"if n == 1:\n return x\nif n == 0:\n return 1\nflag = 1 if n > 0 else -1\nn = abs(n)\nresult = x\ni = 1\nwhile 2 * i <= n:\n result *= result\n i *= 2\nif i < n:\n result = result * self.myPow(x, n - i)\nreturn result if flag == 1 else 1 / result",
"if x == 0:\n return 0\nif n == 0:\n return ... | <|body_start_0|>
if n == 1:
return x
if n == 0:
return 1
flag = 1 if n > 0 else -1
n = abs(n)
result = x
i = 1
while 2 * i <= n:
result *= result
i *= 2
if i < n:
result = result * self.myPow(x, n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_0|>
def myPow1(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n == 1:
return x
... | stack_v2_sparse_classes_36k_train_024049 | 1,123 | no_license | [
{
"docstring": ":type x: float :type n: int :rtype: float",
"name": "myPow",
"signature": "def myPow(self, x, n)"
},
{
"docstring": ":type x: float :type n: int :rtype: float",
"name": "myPow1",
"signature": "def myPow1(self, x, n)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006544 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def myPow(self, x, n): :type x: float :type n: int :rtype: float
- def myPow1(self, x, n): :type x: float :type n: int :rtype: float | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def myPow(self, x, n): :type x: float :type n: int :rtype: float
- def myPow1(self, x, n): :type x: float :type n: int :rtype: float
<|skeleton|>
class Solution:
def myPow(... | 707829268535a80cfe0ffa1dc0623520c3fcbecf | <|skeleton|>
class Solution:
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_0|>
def myPow1(self, x, n):
""":type x: float :type n: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def myPow(self, x, n):
""":type x: float :type n: int :rtype: float"""
if n == 1:
return x
if n == 0:
return 1
flag = 1 if n > 0 else -1
n = abs(n)
result = x
i = 1
while 2 * i <= n:
result *= result
... | the_stack_v2_python_sparse | leetcode/1-50/_50_my_pow.py | blackwings001/algorithm | train | 0 | |
fe30943439ddec83a9abea1d44706cc765f750df | [
"try:\n self._stas\nexcept AttributeError:\n self._stas = []\nif experiment == None:\n experiment = self.sort.r.e[0]\nelif type(experiment) == int:\n experiment = self.sort.r.e[experiment]\nsta = STA(neuron=self, experiment=experiment, **kwargs)\nfor _sta in self._stas:\n if _sta == sta:\n if ... | <|body_start_0|>
try:
self._stas
except AttributeError:
self._stas = []
if experiment == None:
experiment = self.sort.r.e[0]
elif type(experiment) == int:
experiment = self.sort.r.e[experiment]
sta = STA(neuron=self, experiment=expe... | Mix-in class that defines the reverse correlation related Neuron methods | NeuronRevCorr | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NeuronRevCorr:
"""Mix-in class that defines the reverse correlation related Neuron methods"""
def sta(self, experiment=None, **kwargs):
"""Returns an existing STA RevCorr object, or creates a new one if necessary"""
<|body_0|>
def stc(self, experiment=None, **kwargs):
... | stack_v2_sparse_classes_36k_train_024050 | 44,171 | permissive | [
{
"docstring": "Returns an existing STA RevCorr object, or creates a new one if necessary",
"name": "sta",
"signature": "def sta(self, experiment=None, **kwargs)"
},
{
"docstring": "Returns an existing STC RevCorr object, or creates a new one if necessary",
"name": "stc",
"signature": "d... | 2 | stack_v2_sparse_classes_30k_train_014067 | Implement the Python class `NeuronRevCorr` described below.
Class description:
Mix-in class that defines the reverse correlation related Neuron methods
Method signatures and docstrings:
- def sta(self, experiment=None, **kwargs): Returns an existing STA RevCorr object, or creates a new one if necessary
- def stc(self... | Implement the Python class `NeuronRevCorr` described below.
Class description:
Mix-in class that defines the reverse correlation related Neuron methods
Method signatures and docstrings:
- def sta(self, experiment=None, **kwargs): Returns an existing STA RevCorr object, or creates a new one if necessary
- def stc(self... | ab576a41ec00e3c126bca45c2504dd61bd1cda56 | <|skeleton|>
class NeuronRevCorr:
"""Mix-in class that defines the reverse correlation related Neuron methods"""
def sta(self, experiment=None, **kwargs):
"""Returns an existing STA RevCorr object, or creates a new one if necessary"""
<|body_0|>
def stc(self, experiment=None, **kwargs):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NeuronRevCorr:
"""Mix-in class that defines the reverse correlation related Neuron methods"""
def sta(self, experiment=None, **kwargs):
"""Returns an existing STA RevCorr object, or creates a new one if necessary"""
try:
self._stas
except AttributeError:
se... | the_stack_v2_python_sparse | neuropy/neuron.py | node2319/neuropy-1 | train | 0 |
f47292324269e352c52288ae770524fa16e7b536 | [
"labels = []\nlabel_ids = []\nscores = []\ndisplay_names = []\nrelative_keypoints = []\nfor category in self.categories:\n scores.append(category.score)\n if category.index:\n label_ids.append(category.index)\n if category.category_name:\n labels.append(category.category_name)\n if categor... | <|body_start_0|>
labels = []
label_ids = []
scores = []
display_names = []
relative_keypoints = []
for category in self.categories:
scores.append(category.score)
if category.index:
label_ids.append(category.index)
if cat... | Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects. | Detection | [
"Apache-2.0",
"dtoa"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection pro... | stack_v2_sparse_classes_36k_train_024051 | 5,843 | permissive | [
{
"docstring": "Generates a Detection protobuf object.",
"name": "to_pb2",
"signature": "def to_pb2(self) -> _DetectionProto"
},
{
"docstring": "Creates a `Detection` object from the given protobuf object.",
"name": "create_from_pb2",
"signature": "def create_from_pb2(cls, pb2_obj: _Dete... | 3 | stack_v2_sparse_classes_30k_train_012551 | Implement the Python class `Detection` described below.
Class description:
Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects.
Method signatures and docstrings:
- def t... | Implement the Python class `Detection` described below.
Class description:
Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects.
Method signatures and docstrings:
- def t... | 007824594bf1d07c7c1467df03a43886f8a4b3ad | <|skeleton|>
class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection pro... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection protobuf object.... | the_stack_v2_python_sparse | mediapipe/tasks/python/components/containers/detections.py | google/mediapipe | train | 23,940 |
0f3523e36b486756b67e717e0ca05968a884befe | [
"logger.info(command)\nfrom subprocess import Popen, PIPE\nprocess = Popen(command, stdout=PIPE, stderr=PIPE, shell=True)\noutput, error = process.communicate()\nret = process.wait()\nif output:\n logger.info(output)\nif error:\n if ret == 0:\n logger.info(error)\n else:\n logger.error(error)... | <|body_start_0|>
logger.info(command)
from subprocess import Popen, PIPE
process = Popen(command, stdout=PIPE, stderr=PIPE, shell=True)
output, error = process.communicate()
ret = process.wait()
if output:
logger.info(output)
if error:
if r... | a collection of os utilities | OSUtilities | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OSUtilities:
"""a collection of os utilities"""
def RunCommandAndLogStdOutStdErr(command, logger):
"""Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the console and log file"""
<|body_0|>
def GetNullRed... | stack_v2_sparse_classes_36k_train_024052 | 1,408 | no_license | [
{
"docstring": "Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the console and log file",
"name": "RunCommandAndLogStdOutStdErr",
"signature": "def RunCommandAndLogStdOutStdErr(command, logger)"
},
{
"docstring": "Return NULL r... | 2 | stack_v2_sparse_classes_30k_train_019899 | Implement the Python class `OSUtilities` described below.
Class description:
a collection of os utilities
Method signatures and docstrings:
- def RunCommandAndLogStdOutStdErr(command, logger): Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the conso... | Implement the Python class `OSUtilities` described below.
Class description:
a collection of os utilities
Method signatures and docstrings:
- def RunCommandAndLogStdOutStdErr(command, logger): Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the conso... | 9ff48f61cfd4e0c5994ad3dabab3987255cea953 | <|skeleton|>
class OSUtilities:
"""a collection of os utilities"""
def RunCommandAndLogStdOutStdErr(command, logger):
"""Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the console and log file"""
<|body_0|>
def GetNullRed... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OSUtilities:
"""a collection of os utilities"""
def RunCommandAndLogStdOutStdErr(command, logger):
"""Use this function to capture the output from a command Capture both the output and the errors Send output/errors to the console and log file"""
logger.info(command)
from subproces... | the_stack_v2_python_sparse | EAA_Dataloader/src/AACloudTools/OSUtilities.py | eulertech/backup | train | 0 |
b2335e57994164743df1ac49174db7bd7d9e9c54 | [
"SeleniumService.__init__(self)\nself.engine = 'google'\nself.URLBASE = 'http://google.com/search?'",
"combined_divs = list(zip(titles, urls, snippets))\nresults = list(map(lambda x: {'query': query, 'engine': self.engine, 'title': x[0].text, 'url': x[1], 'snippet': x[2].text}, combined_divs))\nreturn results",
... | <|body_start_0|>
SeleniumService.__init__(self)
self.engine = 'google'
self.URLBASE = 'http://google.com/search?'
<|end_body_0|>
<|body_start_1|>
combined_divs = list(zip(titles, urls, snippets))
results = list(map(lambda x: {'query': query, 'engine': self.engine, 'title': x[0].... | Specialized service for scraping bing.com search engine | GoogleService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoogleService:
"""Specialized service for scraping bing.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
<|body_0|>
def combine_processed_tags(self, query, titles, urls, snippets):
"""Combine all scraped tags into... | stack_v2_sparse_classes_36k_train_024053 | 8,761 | permissive | [
{
"docstring": "Initialize virtual browser and set correct url base",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Combine all scraped tags into one container. Resulting object is a list of dicts. Arguments: query -- query that generated results titles -- tags with ti... | 3 | stack_v2_sparse_classes_30k_train_003524 | Implement the Python class `GoogleService` described below.
Class description:
Specialized service for scraping bing.com search engine
Method signatures and docstrings:
- def __init__(self): Initialize virtual browser and set correct url base
- def combine_processed_tags(self, query, titles, urls, snippets): Combine ... | Implement the Python class `GoogleService` described below.
Class description:
Specialized service for scraping bing.com search engine
Method signatures and docstrings:
- def __init__(self): Initialize virtual browser and set correct url base
- def combine_processed_tags(self, query, titles, urls, snippets): Combine ... | af03252e19075feec3fa478fa271ea3ae8cf8d11 | <|skeleton|>
class GoogleService:
"""Specialized service for scraping bing.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
<|body_0|>
def combine_processed_tags(self, query, titles, urls, snippets):
"""Combine all scraped tags into... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GoogleService:
"""Specialized service for scraping bing.com search engine"""
def __init__(self):
"""Initialize virtual browser and set correct url base"""
SeleniumService.__init__(self)
self.engine = 'google'
self.URLBASE = 'http://google.com/search?'
def combine_proc... | the_stack_v2_python_sparse | services/SeleniumServices.py | kubasikora/WEDT-Projekt | train | 0 |
69999a306e94579cff7357c9b3a6b767d7589861 | [
"nasa0 = NASA(coeffs=[11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0], Tmin=(300.0, 'K'), Tmax=(1000.0, 'K'), comment='This data is completely made up and unphysical')\nnasa1 = NASA(coeffs=[21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0], Tmin=(1000.0, 'K'), Tmax=(6000.0, 'K'), comment='This data is also completely made up and... | <|body_start_0|>
nasa0 = NASA(coeffs=[11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0], Tmin=(300.0, 'K'), Tmax=(1000.0, 'K'), comment='This data is completely made up and unphysical')
nasa1 = NASA(coeffs=[21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0], Tmin=(1000.0, 'K'), Tmax=(6000.0, 'K'), comment='This data is ... | Contains unit tests of the MultiNASA class. | TestMultiNASA | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestMultiNASA:
"""Contains unit tests of the MultiNASA class."""
def setUp(self):
"""A function run before each unit test in this class."""
<|body_0|>
def testPickle(self):
"""Test that a MultiNASA object can be successfully pickled and unpickled with no loss of ... | stack_v2_sparse_classes_36k_train_024054 | 32,390 | permissive | [
{
"docstring": "A function run before each unit test in this class.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that a MultiNASA object can be successfully pickled and unpickled with no loss of information.",
"name": "testPickle",
"signature": "def testPickl... | 3 | stack_v2_sparse_classes_30k_train_020411 | Implement the Python class `TestMultiNASA` described below.
Class description:
Contains unit tests of the MultiNASA class.
Method signatures and docstrings:
- def setUp(self): A function run before each unit test in this class.
- def testPickle(self): Test that a MultiNASA object can be successfully pickled and unpic... | Implement the Python class `TestMultiNASA` described below.
Class description:
Contains unit tests of the MultiNASA class.
Method signatures and docstrings:
- def setUp(self): A function run before each unit test in this class.
- def testPickle(self): Test that a MultiNASA object can be successfully pickled and unpic... | 7cc7c3bfb330786526c56113d98c785bcaaa161a | <|skeleton|>
class TestMultiNASA:
"""Contains unit tests of the MultiNASA class."""
def setUp(self):
"""A function run before each unit test in this class."""
<|body_0|>
def testPickle(self):
"""Test that a MultiNASA object can be successfully pickled and unpickled with no loss of ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestMultiNASA:
"""Contains unit tests of the MultiNASA class."""
def setUp(self):
"""A function run before each unit test in this class."""
nasa0 = NASA(coeffs=[11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0], Tmin=(300.0, 'K'), Tmax=(1000.0, 'K'), comment='This data is completely made up and u... | the_stack_v2_python_sparse | unittest/thermoTest.py | sean-v8/RMG-Py | train | 0 |
bee8b7adcc79cf39b34c919a72bac265edde28ff | [
"self.values = values\nself.duration = duration\nself.delay = delay",
"new_values = list(self.values)\nnew_values.reverse()\nreturn Lineal(new_values, self.duration, self.delay)",
"import pilas\nstep = self.duration / float(len(self.values))\nstep *= 1000.0\ngetter = function.replace('set_', 'get_')\nfunction_t... | <|body_start_0|>
self.values = values
self.duration = duration
self.delay = delay
<|end_body_0|>
<|body_start_1|>
new_values = list(self.values)
new_values.reverse()
return Lineal(new_values, self.duration, self.delay)
<|end_body_1|>
<|body_start_2|>
import pila... | Representa una interpolación lineal. | Lineal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Lineal:
"""Representa una interpolación lineal."""
def __init__(self, values, duration, delay):
"""Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``duration`` es la cantidad de segundos que deben tomarse pa... | stack_v2_sparse_classes_36k_train_024055 | 2,982 | no_license | [
{
"docstring": "Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``duration`` es la cantidad de segundos que deben tomarse para realizar la interpolación.",
"name": "__init__",
"signature": "def __init__(self, values, duration, ... | 3 | null | Implement the Python class `Lineal` described below.
Class description:
Representa una interpolación lineal.
Method signatures and docstrings:
- def __init__(self, values, duration, delay): Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``d... | Implement the Python class `Lineal` described below.
Class description:
Representa una interpolación lineal.
Method signatures and docstrings:
- def __init__(self, values, duration, delay): Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``d... | ce0197ecdb88b9e5a9b21dd6cb361ea6d971a572 | <|skeleton|>
class Lineal:
"""Representa una interpolación lineal."""
def __init__(self, values, duration, delay):
"""Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``duration`` es la cantidad de segundos que deben tomarse pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Lineal:
"""Representa una interpolación lineal."""
def __init__(self, values, duration, delay):
"""Inicializa la interpolación. ``values`` tiene que ser una lista con todos los puntos por los que se quiere adoptar valores y ``duration`` es la cantidad de segundos que deben tomarse para realizar l... | the_stack_v2_python_sparse | pilas/interpolaciones.py | rarmas/elbasurero | train | 0 |
33fd58517873b1c9b2a7c957a36f7401a18e1b93 | [
"self.hass = hass\nself.devices = devices\nself.bt_device_id = bt_device_id\n\ndef callback(bt_addr, _, packet, additional_info):\n \"\"\"Handle new packets.\"\"\"\n self.process_packet(additional_info['namespace'], additional_info['instance'], packet.temperature)\ndevice_filters = [EddystoneFilter(d.namespac... | <|body_start_0|>
self.hass = hass
self.devices = devices
self.bt_device_id = bt_device_id
def callback(bt_addr, _, packet, additional_info):
"""Handle new packets."""
self.process_packet(additional_info['namespace'], additional_info['instance'], packet.temperatur... | Continuously scan for BLE advertisements. | Monitor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Monitor:
"""Continuously scan for BLE advertisements."""
def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None:
"""Construct interface object."""
<|body_0|>
def start(self) -> None:
"""Continuously scan for BLE advertise... | stack_v2_sparse_classes_36k_train_024056 | 6,045 | permissive | [
{
"docstring": "Construct interface object.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None"
},
{
"docstring": "Continuously scan for BLE advertisements.",
"name": "start",
"signature": "def start(self) ... | 4 | stack_v2_sparse_classes_30k_train_008902 | Implement the Python class `Monitor` described below.
Class description:
Continuously scan for BLE advertisements.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None: Construct interface object.
- def start(self) -> None: Continuously s... | Implement the Python class `Monitor` described below.
Class description:
Continuously scan for BLE advertisements.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None: Construct interface object.
- def start(self) -> None: Continuously s... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class Monitor:
"""Continuously scan for BLE advertisements."""
def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None:
"""Construct interface object."""
<|body_0|>
def start(self) -> None:
"""Continuously scan for BLE advertise... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Monitor:
"""Continuously scan for BLE advertisements."""
def __init__(self, hass: HomeAssistant, devices: list[EddystoneTemp], bt_device_id: int) -> None:
"""Construct interface object."""
self.hass = hass
self.devices = devices
self.bt_device_id = bt_device_id
de... | the_stack_v2_python_sparse | homeassistant/components/eddystone_temperature/sensor.py | home-assistant/core | train | 35,501 |
49b7968075c6f8eeada698694c87f3d1f64e4d29 | [
"modify = True\nif modify and kwargs is not None:\n for key, value in kwargs.iteritems():\n log('%s == %s' % (key, value))\nif modify:\n config = kwargs['config']\n inputdict = kwargs['inputdict']\n inputkeydict = kwargs['inputkeydict']\nentity = 'cpe_primary_triple'\nint_name = None\nif isinstan... | <|body_start_0|>
modify = True
if modify and kwargs is not None:
for key, value in kwargs.iteritems():
log('%s == %s' % (key, value))
if modify:
config = kwargs['config']
inputdict = kwargs['inputdict']
inputkeydict = kwargs['inputk... | ServiceDataCustomization | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServiceDataCustomization:
def process_service_create_data(smodelctx, sdata, dev, **kwargs):
"""Custom API to modify the inputs"""
<|body_0|>
def process_service_device_bindings(smodelctx, sdata, dev, **kwargs):
"""Custom API to modify the device bindings or Call the ... | stack_v2_sparse_classes_36k_train_024057 | 4,970 | no_license | [
{
"docstring": "Custom API to modify the inputs",
"name": "process_service_create_data",
"signature": "def process_service_create_data(smodelctx, sdata, dev, **kwargs)"
},
{
"docstring": "Custom API to modify the device bindings or Call the Business Login Handlers",
"name": "process_service_... | 4 | stack_v2_sparse_classes_30k_train_019540 | Implement the Python class `ServiceDataCustomization` described below.
Class description:
Implement the ServiceDataCustomization class.
Method signatures and docstrings:
- def process_service_create_data(smodelctx, sdata, dev, **kwargs): Custom API to modify the inputs
- def process_service_device_bindings(smodelctx,... | Implement the Python class `ServiceDataCustomization` described below.
Class description:
Implement the ServiceDataCustomization class.
Method signatures and docstrings:
- def process_service_create_data(smodelctx, sdata, dev, **kwargs): Custom API to modify the inputs
- def process_service_device_bindings(smodelctx,... | 96de3a4fd4adbbc0d443620f0c53f397823a1cad | <|skeleton|>
class ServiceDataCustomization:
def process_service_create_data(smodelctx, sdata, dev, **kwargs):
"""Custom API to modify the inputs"""
<|body_0|>
def process_service_device_bindings(smodelctx, sdata, dev, **kwargs):
"""Custom API to modify the device bindings or Call the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ServiceDataCustomization:
def process_service_create_data(smodelctx, sdata, dev, **kwargs):
"""Custom API to modify the inputs"""
modify = True
if modify and kwargs is not None:
for key, value in kwargs.iteritems():
log('%s == %s' % (key, value))
if ... | the_stack_v2_python_sparse | scripts/managed_cpe_services/customer/triple_cpe_site/triple_cpe_site_services/cpe_primary/route_maps/route_map/service_customization.py | lucabrasi83/anutacpedeployment | train | 0 | |
d3d037f30156363b4a825630c03acb6a86580be1 | [
"if not digits:\n return []\nres = []\nself.dfs(digits, 0, '', res)\nreturn res",
"if index == len(digits):\n return res.append(s)\nfor ch in MAPPING[digits[index]]:\n self.dfs(digits, index + 1, s + ch, res)"
] | <|body_start_0|>
if not digits:
return []
res = []
self.dfs(digits, 0, '', res)
return res
<|end_body_0|>
<|body_start_1|>
if index == len(digits):
return res.append(s)
for ch in MAPPING[digits[index]]:
self.dfs(digits, index + 1, s + ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
<|body_0|>
def dfs(self, digits, index, s, res):
"""index keeps tracking the current position s is the substring recursively add qualified substring to res"""
<|body_1|>... | stack_v2_sparse_classes_36k_train_024058 | 952 | no_license | [
{
"docstring": ":type digits: str :rtype: List[str]",
"name": "letterCombinations",
"signature": "def letterCombinations(self, digits)"
},
{
"docstring": "index keeps tracking the current position s is the substring recursively add qualified substring to res",
"name": "dfs",
"signature":... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str]
- def dfs(self, digits, index, s, res): index keeps tracking the current position s is the substring rec... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations(self, digits): :type digits: str :rtype: List[str]
- def dfs(self, digits, index, s, res): index keeps tracking the current position s is the substring rec... | 90c000c3be70727cde4f7494fbbb1c425bfd3da4 | <|skeleton|>
class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
<|body_0|>
def dfs(self, digits, index, s, res):
"""index keeps tracking the current position s is the substring recursively add qualified substring to res"""
<|body_1|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def letterCombinations(self, digits):
""":type digits: str :rtype: List[str]"""
if not digits:
return []
res = []
self.dfs(digits, 0, '', res)
return res
def dfs(self, digits, index, s, res):
"""index keeps tracking the current positio... | the_stack_v2_python_sparse | categories/dfs-bfs/17.letter-combinations-of-a-phone-number.py | chenjienan/python-leetcode | train | 16 | |
b2bce8850af308399e2bfc2b39316ef40cae35c0 | [
"super().__init__()\nself.precisions: Optional[str] = None\nif data.get('precisions'):\n self.set_precisions(data.get('precisions'))\nself.op_wise = None\nif isinstance(data.get('op_wise'), dict):\n self.op_wise = data.get('op_wise', {})",
"if isinstance(precisions, str):\n self.precisions = precisions.r... | <|body_start_0|>
super().__init__()
self.precisions: Optional[str] = None
if data.get('precisions'):
self.set_precisions(data.get('precisions'))
self.op_wise = None
if isinstance(data.get('op_wise'), dict):
self.op_wise = data.get('op_wise', {})
<|end_body... | Configuration Graph Optimization class. | GraphOptimization | [
"MIT",
"Intel",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphOptimization:
"""Configuration Graph Optimization class."""
def __init__(self, data: Dict[str, Any]={}) -> None:
"""Initialize Configuration Graph Optimization class."""
<|body_0|>
def set_precisions(self, precisions: Union[str, List[str]]) -> None:
"""Updat... | stack_v2_sparse_classes_36k_train_024059 | 1,934 | permissive | [
{
"docstring": "Initialize Configuration Graph Optimization class.",
"name": "__init__",
"signature": "def __init__(self, data: Dict[str, Any]={}) -> None"
},
{
"docstring": "Update graph_optimization precisions in config.",
"name": "set_precisions",
"signature": "def set_precisions(self... | 2 | null | Implement the Python class `GraphOptimization` described below.
Class description:
Configuration Graph Optimization class.
Method signatures and docstrings:
- def __init__(self, data: Dict[str, Any]={}) -> None: Initialize Configuration Graph Optimization class.
- def set_precisions(self, precisions: Union[str, List[... | Implement the Python class `GraphOptimization` described below.
Class description:
Configuration Graph Optimization class.
Method signatures and docstrings:
- def __init__(self, data: Dict[str, Any]={}) -> None: Initialize Configuration Graph Optimization class.
- def set_precisions(self, precisions: Union[str, List[... | 3976edc4215398e69ce0213f87ec295f5dc96e0e | <|skeleton|>
class GraphOptimization:
"""Configuration Graph Optimization class."""
def __init__(self, data: Dict[str, Any]={}) -> None:
"""Initialize Configuration Graph Optimization class."""
<|body_0|>
def set_precisions(self, precisions: Union[str, List[str]]) -> None:
"""Updat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphOptimization:
"""Configuration Graph Optimization class."""
def __init__(self, data: Dict[str, Any]={}) -> None:
"""Initialize Configuration Graph Optimization class."""
super().__init__()
self.precisions: Optional[str] = None
if data.get('precisions'):
se... | the_stack_v2_python_sparse | neural_compressor/ux/utils/workload/graph_optimization.py | Skp80/neural-compressor | train | 0 |
de956771add227788c6e5eff5476de0205b34ed4 | [
"n = filenames.__len__()\nresult = np.array([])\nprint('开始将图片转为数组')\nfor i in range(n):\n image = Image.open(self.image_base_path + filenames[i])\n r, g, b = image.split()\n r_arr = np.array(r).reshape(1024)\n g_arr = np.array(g).reshape(1024)\n b_arr = np.array(b).reshape(1024)\n image_arr = np.c... | <|body_start_0|>
n = filenames.__len__()
result = np.array([])
print('开始将图片转为数组')
for i in range(n):
image = Image.open(self.image_base_path + filenames[i])
r, g, b = image.split()
r_arr = np.array(r).reshape(1024)
g_arr = np.array(g).resha... | Operation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Operation:
def image_to_array(self, filenames):
"""图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:"""
<|body_0|>
def array_to_image(self, filename):
"""从二进制文件中读取数据并重新恢复为图片 :param filename: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n =... | stack_v2_sparse_classes_36k_train_024060 | 2,873 | no_license | [
{
"docstring": "图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:",
"name": "image_to_array",
"signature": "def image_to_array(self, filenames)"
},
{
"docstring": "从二进制文件中读取数据并重新恢复为图片 :param filename: :return:",
"name": "array_to_image",
"signature": "def array_to_image(self, filename)"
... | 2 | stack_v2_sparse_classes_30k_train_014203 | Implement the Python class `Operation` described below.
Class description:
Implement the Operation class.
Method signatures and docstrings:
- def image_to_array(self, filenames): 图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:
- def array_to_image(self, filename): 从二进制文件中读取数据并重新恢复为图片 :param filename: :return: | Implement the Python class `Operation` described below.
Class description:
Implement the Operation class.
Method signatures and docstrings:
- def image_to_array(self, filenames): 图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:
- def array_to_image(self, filename): 从二进制文件中读取数据并重新恢复为图片 :param filename: :return:
<|skel... | 713071a9fbabfabcbc3c16ce58d1382c410a7ea3 | <|skeleton|>
class Operation:
def image_to_array(self, filenames):
"""图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:"""
<|body_0|>
def array_to_image(self, filename):
"""从二进制文件中读取数据并重新恢复为图片 :param filename: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Operation:
def image_to_array(self, filenames):
"""图片转化为数组并存为二进制文件； :param filenames:文件列表 :return:"""
n = filenames.__len__()
result = np.array([])
print('开始将图片转为数组')
for i in range(n):
image = Image.open(self.image_base_path + filenames[i])
r, g... | the_stack_v2_python_sparse | ascii_to_str_python/rgb_to_image.py | yangkang411/python_tool | train | 0 | |
6df66ae40131c1cedd570c1a85e6a6e44b6e5d1f | [
"result = []\nfor index in range(0, len(T)):\n location = 0\n for compare_index in range(index + 1, len(T)):\n if T[compare_index] > T[index]:\n location = compare_index - index\n break\n result.append(location)\nreturn result",
"T = T[::-1]\nmax_num = T[0]\nresult = [0]\nfor... | <|body_start_0|>
result = []
for index in range(0, len(T)):
location = 0
for compare_index in range(index + 1, len(T)):
if T[compare_index] > T[index]:
location = compare_index - index
break
result.append(locatio... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def dailyTemperatures_1(self, T):
"""这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_3(self, T):
"""策略2： 还是超时的 从后往前，同时记录最大的元素 如果后面存在比当前大的，则向后找，如果没有就置为0 :param T: :return:"""
<|body_1|>
def... | stack_v2_sparse_classes_36k_train_024061 | 2,119 | no_license | [
{
"docstring": "这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures_1",
"signature": "def dailyTemperatures_1(self, T)"
},
{
"docstring": "策略2： 还是超时的 从后往前，同时记录最大的元素 如果后面存在比当前大的，则向后找，如果没有就置为0 :param T: :return:",
"name": "dailyTemperatures_3",
... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures_1(self, T): 这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]
- def dailyTemperatures_3(self, T): 策略2： 还是超时的 从后往前，同时记录最大的元素 如果后面存在比当前大的，则向... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures_1(self, T): 这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]
- def dailyTemperatures_3(self, T): 策略2： 还是超时的 从后往前，同时记录最大的元素 如果后面存在比当前大的，则向... | 163b376acab84e28c74cb784d10fe39f11510921 | <|skeleton|>
class Solution:
def dailyTemperatures_1(self, T):
"""这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_3(self, T):
"""策略2： 还是超时的 从后往前，同时记录最大的元素 如果后面存在比当前大的，则向后找，如果没有就置为0 :param T: :return:"""
<|body_1|>
def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def dailyTemperatures_1(self, T):
"""这种最简单的策略 肯定是会超时的..人家可是个medium题 :type T: List[int] :rtype: List[int]"""
result = []
for index in range(0, len(T)):
location = 0
for compare_index in range(index + 1, len(T)):
if T[compare_index] > T[i... | the_stack_v2_python_sparse | code/739. Daily Temperatures.py | cathyxingchang/leetcode | train | 2 | |
40b3ebab8881ad314c844d4c2eb010042b255045 | [
"try:\n pecan.request.db_api.delete_domain(uuid=uuid)\nexcept exception.DomainNotFound as e:\n raise wsme.exc.ClientSideError(e.message, status_code=e.code)",
"project_id = pecan.request.headers.get('X-Tenant-Id')\nres = pecan.request.db_api.list_domains(project_id=project_id)\nreturn res",
"try:\n res... | <|body_start_0|>
try:
pecan.request.db_api.delete_domain(uuid=uuid)
except exception.DomainNotFound as e:
raise wsme.exc.ClientSideError(e.message, status_code=e.code)
<|end_body_0|>
<|body_start_1|>
project_id = pecan.request.headers.get('X-Tenant-Id')
res = pec... | REST Controller for Domain. | DomainsController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DomainsController:
"""REST Controller for Domain."""
def delete(self, uuid):
"""Delete a domain."""
<|body_0|>
def get_all(self):
"""Retrieve a list of domains."""
<|body_1|>
def get_one(self, uuid):
"""Retrieve information about the given do... | stack_v2_sparse_classes_36k_train_024062 | 3,577 | permissive | [
{
"docstring": "Delete a domain.",
"name": "delete",
"signature": "def delete(self, uuid)"
},
{
"docstring": "Retrieve a list of domains.",
"name": "get_all",
"signature": "def get_all(self)"
},
{
"docstring": "Retrieve information about the given domain.",
"name": "get_one",... | 5 | stack_v2_sparse_classes_30k_test_000766 | Implement the Python class `DomainsController` described below.
Class description:
REST Controller for Domain.
Method signatures and docstrings:
- def delete(self, uuid): Delete a domain.
- def get_all(self): Retrieve a list of domains.
- def get_one(self, uuid): Retrieve information about the given domain.
- def pos... | Implement the Python class `DomainsController` described below.
Class description:
REST Controller for Domain.
Method signatures and docstrings:
- def delete(self, uuid): Delete a domain.
- def get_all(self): Retrieve a list of domains.
- def get_one(self, uuid): Retrieve information about the given domain.
- def pos... | 6a9a59df834f08dad001a8439447ed4b699639ed | <|skeleton|>
class DomainsController:
"""REST Controller for Domain."""
def delete(self, uuid):
"""Delete a domain."""
<|body_0|>
def get_all(self):
"""Retrieve a list of domains."""
<|body_1|>
def get_one(self, uuid):
"""Retrieve information about the given do... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DomainsController:
"""REST Controller for Domain."""
def delete(self, uuid):
"""Delete a domain."""
try:
pecan.request.db_api.delete_domain(uuid=uuid)
except exception.DomainNotFound as e:
raise wsme.exc.ClientSideError(e.message, status_code=e.code)
d... | the_stack_v2_python_sparse | ripcord/api/controllers/v1/domain.py | kickstandproject/ripcord | train | 1 |
af1db39ad5e3c4a7c4d276843f3793c122dd402b | [
"if len(group) > 3:\n raise AssertionError(\"group '%s' is too long\" % repr(group))\nelif len(group) == 3:\n cols = 'one-third'\n offset_classes = ['', ' offset-by-one-third', ' offset-by-two-thirds']\nelif len(group) == 2:\n cols = 'one-half'\n offset_classes = ['', ' offset-by-one-half']\nelse:\n ... | <|body_start_0|>
if len(group) > 3:
raise AssertionError("group '%s' is too long" % repr(group))
elif len(group) == 3:
cols = 'one-third'
offset_classes = ['', ' offset-by-one-third', ' offset-by-two-thirds']
elif len(group) == 2:
cols = 'one-half'... | Mixin that provides functions for rendering light-compatible html | BaseFormRenderer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseFormRenderer:
"""Mixin that provides functions for rendering light-compatible html"""
def _render_group(self, group):
"""Render several fields at the same line Responsive grid is used."""
<|body_0|>
def _render_field(self, field):
"""Render a <section> with a... | stack_v2_sparse_classes_36k_train_024063 | 4,797 | permissive | [
{
"docstring": "Render several fields at the same line Responsive grid is used.",
"name": "_render_group",
"signature": "def _render_group(self, group)"
},
{
"docstring": "Render a <section> with a single field",
"name": "_render_field",
"signature": "def _render_field(self, field)"
},... | 3 | null | Implement the Python class `BaseFormRenderer` described below.
Class description:
Mixin that provides functions for rendering light-compatible html
Method signatures and docstrings:
- def _render_group(self, group): Render several fields at the same line Responsive grid is used.
- def _render_field(self, field): Rend... | Implement the Python class `BaseFormRenderer` described below.
Class description:
Mixin that provides functions for rendering light-compatible html
Method signatures and docstrings:
- def _render_group(self, group): Render several fields at the same line Responsive grid is used.
- def _render_field(self, field): Rend... | 9bf040faac43feae08b33900e30bf7d17b817ae4 | <|skeleton|>
class BaseFormRenderer:
"""Mixin that provides functions for rendering light-compatible html"""
def _render_group(self, group):
"""Render several fields at the same line Responsive grid is used."""
<|body_0|>
def _render_field(self, field):
"""Render a <section> with a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseFormRenderer:
"""Mixin that provides functions for rendering light-compatible html"""
def _render_group(self, group):
"""Render several fields at the same line Responsive grid is used."""
if len(group) > 3:
raise AssertionError("group '%s' is too long" % repr(group))
... | the_stack_v2_python_sparse | s_appearance/forms.py | AmatanHead/collective-blog | train | 0 |
d2cc412e30fb8ab6432776ebfa83e70e630a5bec | [
"super().__init__(cv)\nself.cid = cv.create_polygon(x - 12, 530, x + 12, 530, x, 500, fill='red')\nself.x = x\nself.pps = pps\nself.colors = colors\nself._tospawn = 0",
"super().update(dt)\nself._tospawn += self.pps * dt\ncolor = self.colors[int(self.age / 3) % len(self.colors)]\nfor i in range(int(self._tospawn)... | <|body_start_0|>
super().__init__(cv)
self.cid = cv.create_polygon(x - 12, 530, x + 12, 530, x, 500, fill='red')
self.x = x
self.pps = pps
self.colors = colors
self._tospawn = 0
<|end_body_0|>
<|body_start_1|>
super().update(dt)
self._tospawn += self.pps ... | A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn. | Volcano | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Volcano:
"""A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn."""
def __init__(self, cv, x, pps, colors):
"""... | stack_v2_sparse_classes_36k_train_024064 | 16,427 | permissive | [
{
"docstring": "Init Volcano objects. Args: cv (Tk.canvas): the canvas in which the particle is drawn. x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn.",
"name": "__init__",
"signature": "def ... | 2 | stack_v2_sparse_classes_30k_train_005428 | Implement the Python class `Volcano` described below.
Class description:
A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn.
Method signatures a... | Implement the Python class `Volcano` described below.
Class description:
A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn.
Method signatures a... | c6b6d80e9d59f5d115ca8b8fc020fcd6cb030af8 | <|skeleton|>
class Volcano:
"""A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn."""
def __init__(self, cv, x, pps, colors):
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Volcano:
"""A volcano that continuously emits colored particles. Attributes: x (float): x-coordinate of the volcano. pps (float): the number of particles to spawn per second. colors (list of string): the colors of the particles to spawn."""
def __init__(self, cv, x, pps, colors):
"""Init Volcano ... | the_stack_v2_python_sparse | scripts/sheet9/9.2.py | LennartElbe/PythOnline | train | 0 |
d01e533c15be3ffa5d7717e6909ec649a258309c | [
"self.__ops = ops\nself.__nops = len(ops)\nfor iop in range(self.__nops):\n if not isinstance(self.__ops[iop], operator):\n raise Exception('Elements of ops list must be of type operator')\nif self.__nops != len(dims):\n raise Exception('Number of dimensions (%d) must equal number of operators (%d)' % ... | <|body_start_0|>
self.__ops = ops
self.__nops = len(ops)
for iop in range(self.__nops):
if not isinstance(self.__ops[iop], operator):
raise Exception('Elements of ops list must be of type operator')
if self.__nops != len(dims):
raise Exception('Num... | Column operator | colop | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class colop:
"""Column operator"""
def __init__(self, ops, dims, epss):
"""colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inputs and outputs of the arrays For example dims = [{'nrows'... | stack_v2_sparse_classes_36k_train_024065 | 13,837 | no_license | [
{
"docstring": "colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inputs and outputs of the arrays For example dims = [{'nrows': 10, 'ncols': 10},...] epss - a list of scalar values to be applied to the outpu... | 4 | stack_v2_sparse_classes_30k_train_010210 | Implement the Python class `colop` described below.
Class description:
Column operator
Method signatures and docstrings:
- def __init__(self, ops, dims, epss): colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inpu... | Implement the Python class `colop` described below.
Class description:
Column operator
Method signatures and docstrings:
- def __init__(self, ops, dims, epss): colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inpu... | 32a303eddd13385d8778b8bb3b4fbbfbe78bea51 | <|skeleton|>
class colop:
"""Column operator"""
def __init__(self, ops, dims, epss):
"""colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inputs and outputs of the arrays For example dims = [{'nrows'... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class colop:
"""Column operator"""
def __init__(self, ops, dims, epss):
"""colop constructor Parameters: ops - a list of operators used to form the column operator dims - a list of dictionaries that contain the dimensions of the inputs and outputs of the arrays For example dims = [{'nrows': 10, 'ncols'... | the_stack_v2_python_sparse | opt/linopt/combops.py | ke0m/scaas | train | 2 |
3f926c15183ada0cfe4715addd104d03e55d0818 | [
"res = []\nstack = []\nwhile root or stack:\n if root:\n res.append(root.val)\n stack.append(root)\n root = root.left\n else:\n temp = stack.pop()\n root = temp.right\nreturn res",
"res = []\nif root:\n res.append(root.val)\n res += self.preorderTraversal(root.left)\... | <|body_start_0|>
res = []
stack = []
while root or stack:
if root:
res.append(root.val)
stack.append(root)
root = root.left
else:
temp = stack.pop()
root = temp.right
return res
<|end_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def preorderTraversal2(self, root):
"""递归解法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = []
stack = []
while root or stack:... | stack_v2_sparse_classes_36k_train_024066 | 2,272 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "preorderTraversal",
"signature": "def preorderTraversal(self, root)"
},
{
"docstring": "递归解法",
"name": "preorderTraversal2",
"signature": "def preorderTraversal2(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal2(self, root): 递归解法 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal2(self, root): 递归解法
<|skeleton|>
class Solution:
def preorderTraversal(self... | f022677c042db3598003df1a320a70f0edc4f870 | <|skeleton|>
class Solution:
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def preorderTraversal2(self, root):
"""递归解法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
res = []
stack = []
while root or stack:
if root:
res.append(root.val)
stack.append(root)
root = root.left
else:
... | the_stack_v2_python_sparse | BinaryTree/qianxubianli.py | daisyzl/program-exercise-python | train | 0 | |
929febb627596ee916e71c996dce8f0a5bd5749c | [
"self.school_name = school_name\nself.city_name = city_name\nself.teachers = teachers\nself.courses = courses\nself.students = students\nself.grades = grades",
"attr_list = ['courses', 'teachers', 'students', 'grades']\n\ndef show_attr_value(attr):\n attr_value = getattr(self, attr)\n attr_value_list = attr... | <|body_start_0|>
self.school_name = school_name
self.city_name = city_name
self.teachers = teachers
self.courses = courses
self.students = students
self.grades = grades
<|end_body_0|>
<|body_start_1|>
attr_list = ['courses', 'teachers', 'students', 'grades']
... | 学校类 | School | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class School:
"""学校类"""
def __init__(self, school_name, city_name, teachers=None, courses=None, students=None, grades=None):
"""定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{"teacher": []} :param courses: 课程，字典类型，eg:{"courses": []} :param stude... | stack_v2_sparse_classes_36k_train_024067 | 2,046 | no_license | [
{
"docstring": "定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{\"teacher\": []} :param courses: 课程，字典类型，eg:{\"courses\": []} :param students: 学员，字典类型，eg:{\"students\": []} :param grades: 班级，字典类型，eg:{\"grades\": []}",
"name": "__init__",
"signature": "def __in... | 3 | null | Implement the Python class `School` described below.
Class description:
学校类
Method signatures and docstrings:
- def __init__(self, school_name, city_name, teachers=None, courses=None, students=None, grades=None): 定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{"teacher": []... | Implement the Python class `School` described below.
Class description:
学校类
Method signatures and docstrings:
- def __init__(self, school_name, city_name, teachers=None, courses=None, students=None, grades=None): 定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{"teacher": []... | 8e304b8ee0680555f328270845ba9a4b5c25f393 | <|skeleton|>
class School:
"""学校类"""
def __init__(self, school_name, city_name, teachers=None, courses=None, students=None, grades=None):
"""定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{"teacher": []} :param courses: 课程，字典类型，eg:{"courses": []} :param stude... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class School:
"""学校类"""
def __init__(self, school_name, city_name, teachers=None, courses=None, students=None, grades=None):
"""定义学校属性 :param school_name: 学校名，字符类型 :param city_name: 城市名，字符类型 :param teachers: 讲师，字典类型，eg:{"teacher": []} :param courses: 课程，字典类型，eg:{"courses": []} :param students: 学员，字典类型，... | the_stack_v2_python_sparse | Course_selection_system/course_selection_system/lib/school.py | sdxy0506/pystudy | train | 0 |
e05e0fe9ec1047a1ba206a3e120e6b817c8998df | [
"super().__init__(name, **kwargs)\nself.website_id = 'gsmhosting'\nself.website_type = 'complaint'\nself.forum_list_xpath = '/html/body/div/div[1]/div/table[5]/tbody'\nself.forum_url_xpath = './tr/td/table/tr/td[3]/div/a/@href'\nself.post_list_xpath = '//*[@id=\"threadslist\"]/tbody[2]/tr'\nself.post_url_xpath = '.... | <|body_start_0|>
super().__init__(name, **kwargs)
self.website_id = 'gsmhosting'
self.website_type = 'complaint'
self.forum_list_xpath = '/html/body/div/div[1]/div/table[5]/tbody'
self.forum_url_xpath = './tr/td/table/tr/td[3]/div/a/@href'
self.post_list_xpath = '//*[@id=... | 解析数据和爬虫逻辑类 | MySpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySpider:
"""解析数据和爬虫逻辑类"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
<|body_0|>
def parse(self, response):
"""构造帖子页请求... | stack_v2_sparse_classes_36k_train_024068 | 4,938 | no_license | [
{
"docstring": "完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None",
"name": "__init__",
"signature": "def __init__(self, name=None, **kwargs)"
},
{
"docstring": "构造帖子页请求",
"name": "parse",
"signatu... | 4 | null | Implement the Python class `MySpider` described below.
Class description:
解析数据和爬虫逻辑类
Method signatures and docstrings:
- def __init__(self, name=None, **kwargs): 完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None
- def parse(sel... | Implement the Python class `MySpider` described below.
Class description:
解析数据和爬虫逻辑类
Method signatures and docstrings:
- def __init__(self, name=None, **kwargs): 完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None
- def parse(sel... | 1b42878b694fabc65a02228662ffdf819e5dcc71 | <|skeleton|>
class MySpider:
"""解析数据和爬虫逻辑类"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
<|body_0|>
def parse(self, response):
"""构造帖子页请求... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MySpider:
"""解析数据和爬虫逻辑类"""
def __init__(self, name=None, **kwargs):
"""完成解析前的初始化工作,主要是将用的到 xpath 配合完成 :param self: 类的对象自身 :param name: scrapy 会将 name 属性传递进来 :param kwargs: 字典形式的参数,用于更新 self.__dict__ :return None"""
super().__init__(name, **kwargs)
self.website_id = 'gsmhosting'
... | the_stack_v2_python_sparse | wujian/gsmhosting/gsmhosting/spiders/gsmhosting.py | wangsanshi123/spiders | train | 0 |
7d84024d66d83e60f89d929e8b891effb923f7a8 | [
"test_report_url = URL(f'{urls[0]}/lastSuccessfulBuild/testReport/api/json')\njob_url = URL(f'{urls[0]}/lastSuccessfulBuild/api/json')\nreturn await super()._get_source_responses(test_report_url, job_url)",
"timestamps = [suite.get('timestamp') for suite in (await responses[0].json()).get('suites', []) if suite.g... | <|body_start_0|>
test_report_url = URL(f'{urls[0]}/lastSuccessfulBuild/testReport/api/json')
job_url = URL(f'{urls[0]}/lastSuccessfulBuild/api/json')
return await super()._get_source_responses(test_report_url, job_url)
<|end_body_0|>
<|body_start_1|>
timestamps = [suite.get('timestamp')... | Collector to get the age of the Jenkins test report. | JenkinsTestReportSourceUpToDateness | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JenkinsTestReportSourceUpToDateness:
"""Collector to get the age of the Jenkins test report."""
async def _get_source_responses(self, *urls: URL) -> SourceResponses:
"""Extend to get both the test report and the job that created it, so we can use either one to get a date."""
... | stack_v2_sparse_classes_36k_train_024069 | 1,391 | permissive | [
{
"docstring": "Extend to get both the test report and the job that created it, so we can use either one to get a date.",
"name": "_get_source_responses",
"signature": "async def _get_source_responses(self, *urls: URL) -> SourceResponses"
},
{
"docstring": "Override to parse the timestamp from e... | 2 | null | Implement the Python class `JenkinsTestReportSourceUpToDateness` described below.
Class description:
Collector to get the age of the Jenkins test report.
Method signatures and docstrings:
- async def _get_source_responses(self, *urls: URL) -> SourceResponses: Extend to get both the test report and the job that create... | Implement the Python class `JenkinsTestReportSourceUpToDateness` described below.
Class description:
Collector to get the age of the Jenkins test report.
Method signatures and docstrings:
- async def _get_source_responses(self, *urls: URL) -> SourceResponses: Extend to get both the test report and the job that create... | 5d9952bf0bd47895824fa78428d3e4f4d6b5d9b3 | <|skeleton|>
class JenkinsTestReportSourceUpToDateness:
"""Collector to get the age of the Jenkins test report."""
async def _get_source_responses(self, *urls: URL) -> SourceResponses:
"""Extend to get both the test report and the job that created it, so we can use either one to get a date."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class JenkinsTestReportSourceUpToDateness:
"""Collector to get the age of the Jenkins test report."""
async def _get_source_responses(self, *urls: URL) -> SourceResponses:
"""Extend to get both the test report and the job that created it, so we can use either one to get a date."""
test_report_u... | the_stack_v2_python_sparse | components/collector/src/source_collectors/jenkins_test_report/source_up_to_dateness.py | ICTU/quality-time | train | 43 |
f1bbda7ddd2306db1412e9be4e0b784f9a65e5bd | [
"def _val_check(val, name):\n if val < 0 or val > 255:\n raise ValueError(f'Invalid {name} value. Should be 0~255. ({val})')\n_val_check(red, 'RED')\n_val_check(green, 'GREEN')\n_val_check(blue, 'BLUE')\nreturn Color(red * 65536 + green * 256 + blue)",
"if not re.match('#?[0-9A-Fa-f]{6}', hex_str):\n ... | <|body_start_0|>
def _val_check(val, name):
if val < 0 or val > 255:
raise ValueError(f'Invalid {name} value. Should be 0~255. ({val})')
_val_check(red, 'RED')
_val_check(green, 'GREEN')
_val_check(blue, 'BLUE')
return Color(red * 65536 + green * 256 +... | Factory class to generate :class:`Color`. | ColorFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColorFactory:
"""Factory class to generate :class:`Color`."""
def from_rgb(red: int, green: int, blue: int) -> Color:
"""Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueError: any of `red`, `green` or `blue` is invalid"""
... | stack_v2_sparse_classes_36k_train_024070 | 4,009 | permissive | [
{
"docstring": "Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueError: any of `red`, `green` or `blue` is invalid",
"name": "from_rgb",
"signature": "def from_rgb(red: int, green: int, blue: int) -> Color"
},
{
"docstring": "Generate a :clas... | 2 | stack_v2_sparse_classes_30k_train_009210 | Implement the Python class `ColorFactory` described below.
Class description:
Factory class to generate :class:`Color`.
Method signatures and docstrings:
- def from_rgb(red: int, green: int, blue: int) -> Color: Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueErr... | Implement the Python class `ColorFactory` described below.
Class description:
Factory class to generate :class:`Color`.
Method signatures and docstrings:
- def from_rgb(red: int, green: int, blue: int) -> Color: Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueErr... | c7da1e91783dce3a2b71b955b3a22b68db9056cf | <|skeleton|>
class ColorFactory:
"""Factory class to generate :class:`Color`."""
def from_rgb(red: int, green: int, blue: int) -> Color:
"""Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueError: any of `red`, `green` or `blue` is invalid"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ColorFactory:
"""Factory class to generate :class:`Color`."""
def from_rgb(red: int, green: int, blue: int) -> Color:
"""Generate a :class:`Color` from RGB. :return: a `Color` with using the provided RGB values :raises ValueError: any of `red`, `green` or `blue` is invalid"""
def _val_che... | the_stack_v2_python_sparse | extutils/color.py | RxJellyBot/Jelly-Bot | train | 5 |
932e17161b7d8c2dc80357df9436978e8db852ab | [
"super().__init__()\nself._solution_dim = solution_dim\nself._population_size = population_size\nself._upper_bound = upper_bound\nself._lower_bound = lower_bound",
"init_obs = time_step.observation\nbatch_size = init_obs.shape[0]\nsolutions = tf.random.uniform([batch_size, self._population_size, self._solution_di... | <|body_start_0|>
super().__init__()
self._solution_dim = solution_dim
self._population_size = population_size
self._upper_bound = upper_bound
self._lower_bound = lower_bound
<|end_body_0|>
<|body_start_1|>
init_obs = time_step.observation
batch_size = init_obs.sh... | RandomOptimizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomOptimizer:
def __init__(self, solution_dim, population_size, upper_bound=None, lower_bound=None):
"""Creates a Random Optimizer Args: solution_dim (int): The dimensionality of the problem space population_size (int): The number of candidate solutions to be sampled at every iteratio... | stack_v2_sparse_classes_36k_train_024071 | 2,535 | permissive | [
{
"docstring": "Creates a Random Optimizer Args: solution_dim (int): The dimensionality of the problem space population_size (int): The number of candidate solutions to be sampled at every iteration upper_bound (int|tf.Tensor): upper bounds for elements in solution lower_bound (int|tf.Tensor): lower bounds for ... | 2 | null | Implement the Python class `RandomOptimizer` described below.
Class description:
Implement the RandomOptimizer class.
Method signatures and docstrings:
- def __init__(self, solution_dim, population_size, upper_bound=None, lower_bound=None): Creates a Random Optimizer Args: solution_dim (int): The dimensionality of th... | Implement the Python class `RandomOptimizer` described below.
Class description:
Implement the RandomOptimizer class.
Method signatures and docstrings:
- def __init__(self, solution_dim, population_size, upper_bound=None, lower_bound=None): Creates a Random Optimizer Args: solution_dim (int): The dimensionality of th... | 38a3621337a030f74bb3944d7695e7642e777e10 | <|skeleton|>
class RandomOptimizer:
def __init__(self, solution_dim, population_size, upper_bound=None, lower_bound=None):
"""Creates a Random Optimizer Args: solution_dim (int): The dimensionality of the problem space population_size (int): The number of candidate solutions to be sampled at every iteratio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomOptimizer:
def __init__(self, solution_dim, population_size, upper_bound=None, lower_bound=None):
"""Creates a Random Optimizer Args: solution_dim (int): The dimensionality of the problem space population_size (int): The number of candidate solutions to be sampled at every iteration upper_bound ... | the_stack_v2_python_sparse | alf/optimizers/random.py | Haichao-Zhang/alf | train | 1 | |
790d03b54f8aeffadcf587f0f79de7a2b2e9b81e | [
"parser.display_info.AddFormat(vmware_constants.VMWARE_CLUSTERS_FORMAT)\nflags.AddClusterResourceArg(parser, 'to update', True)\nbase.ASYNC_FLAG.AddToParser(parser)\nflags.AddValidationOnly(parser)\nflags.AddAllowMissingUpdateCluster(parser)\nflags.AddDescription(parser)\nflags.AddVersion(parser)\nflags.AddVmwareCo... | <|body_start_0|>
parser.display_info.AddFormat(vmware_constants.VMWARE_CLUSTERS_FORMAT)
flags.AddClusterResourceArg(parser, 'to update', True)
base.ASYNC_FLAG.AddToParser(parser)
flags.AddValidationOnly(parser)
flags.AddAllowMissingUpdateCluster(parser)
flags.AddDescripti... | Update an Anthos cluster on VMware. | UpdateAlpha | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateAlpha:
"""Update an Anthos cluster on VMware."""
def Args(parser: parser_arguments.ArgumentInterceptor):
"""Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to."""
<|body_0|>
def Run(self, args):
"""Ru... | stack_v2_sparse_classes_36k_train_024072 | 6,033 | permissive | [
{
"docstring": "Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to.",
"name": "Args",
"signature": "def Args(parser: parser_arguments.ArgumentInterceptor)"
},
{
"docstring": "Runs the update command. Args: args: The arguments received from... | 2 | null | Implement the Python class `UpdateAlpha` described below.
Class description:
Update an Anthos cluster on VMware.
Method signatures and docstrings:
- def Args(parser: parser_arguments.ArgumentInterceptor): Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to.
- de... | Implement the Python class `UpdateAlpha` described below.
Class description:
Update an Anthos cluster on VMware.
Method signatures and docstrings:
- def Args(parser: parser_arguments.ArgumentInterceptor): Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to.
- de... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class UpdateAlpha:
"""Update an Anthos cluster on VMware."""
def Args(parser: parser_arguments.ArgumentInterceptor):
"""Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to."""
<|body_0|>
def Run(self, args):
"""Ru... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateAlpha:
"""Update an Anthos cluster on VMware."""
def Args(parser: parser_arguments.ArgumentInterceptor):
"""Gathers command line arguments for the update command. Args: parser: The argparse parser to add the flag to."""
parser.display_info.AddFormat(vmware_constants.VMWARE_CLUSTERS_... | the_stack_v2_python_sparse | lib/surface/container/vmware/clusters/update.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
df991fae2ebcdfcd7c77d4bb3823460efc2827d6 | [
"self.max_length = max_length\nself.coder = coder\nself.base_pos = base_pos\nself.pos = base_pos\nself.end_pos = end_pos or os.path.getsize(textfile)\nif base_pos >= self.end_pos:\n raise Exception('base position should come before end position')\nself.textfile = textfile",
"line_id, line, looped = self.read_l... | <|body_start_0|>
self.max_length = max_length
self.coder = coder
self.base_pos = base_pos
self.pos = base_pos
self.end_pos = end_pos or os.path.getsize(textfile)
if base_pos >= self.end_pos:
raise Exception('base position should come before end position')
... | reads text from disk | TextReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextReader:
"""reads text from disk"""
def __init__(self, textfile, max_length, coder, base_pos=0, end_pos=None):
"""TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length of a line coder: a TargetCoder object base_pos: the base... | stack_v2_sparse_classes_36k_train_024073 | 3,606 | permissive | [
{
"docstring": "TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length of a line coder: a TargetCoder object base_pos: the base postion where to start reading in the file end_pos: optional maximal position in the file",
"name": "__init__",
"signatu... | 5 | stack_v2_sparse_classes_30k_train_006484 | Implement the Python class `TextReader` described below.
Class description:
reads text from disk
Method signatures and docstrings:
- def __init__(self, textfile, max_length, coder, base_pos=0, end_pos=None): TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length... | Implement the Python class `TextReader` described below.
Class description:
reads text from disk
Method signatures and docstrings:
- def __init__(self, textfile, max_length, coder, base_pos=0, end_pos=None): TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length... | fb530cf617ff86fe8a249d4582dfe90a303da295 | <|skeleton|>
class TextReader:
"""reads text from disk"""
def __init__(self, textfile, max_length, coder, base_pos=0, end_pos=None):
"""TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length of a line coder: a TargetCoder object base_pos: the base... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TextReader:
"""reads text from disk"""
def __init__(self, textfile, max_length, coder, base_pos=0, end_pos=None):
"""TextReader constructor Args: textfile: the path to the file containing the text max_length: the maximal length of a line coder: a TargetCoder object base_pos: the base postion wher... | the_stack_v2_python_sparse | nabu/processing/text_reader.py | DavidKarlas/nabu | train | 1 |
760b969fe36b47e6d3ed46d2248849b5cf74baaf | [
"with sqlite3.connect('example.db') as conn:\n c = conn.cursor()\n try:\n c.execute('create table stocks\\n (date text, trans text, symbol text, qty real, price real)')\n except sqlite3.OperationalError:\n pass\n timestamp = time()\n date = datetime.fromtimestamp(timestamp).str... | <|body_start_0|>
with sqlite3.connect('example.db') as conn:
c = conn.cursor()
try:
c.execute('create table stocks\n (date text, trans text, symbol text, qty real, price real)')
except sqlite3.OperationalError:
pass
timesta... | A simplified class to buy stock in Amazon | Amazon | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the s... | stack_v2_sparse_classes_36k_train_024074 | 2,429 | no_license | [
{
"docstring": "Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the stocks were purchased",
"name": "buy_amazon",
"signature": "def buy_amazon(self, quantity, purchase_price)"
},... | 4 | stack_v2_sparse_classes_30k_train_005667 | Implement the Python class `Amazon` described below.
Class description:
A simplified class to buy stock in Amazon
Method signatures and docstrings:
- def buy_amazon(self, quantity, purchase_price): Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to p... | Implement the Python class `Amazon` described below.
Class description:
A simplified class to buy stock in Amazon
Method signatures and docstrings:
- def buy_amazon(self, quantity, purchase_price): Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to p... | fb2d1a903fd287e0dbc963963f322eccdc1546bb | <|skeleton|>
class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the stocks were pu... | the_stack_v2_python_sparse | NSS/practice/python_and_sql/amazon.py | megducharme/Python_Exercises | train | 0 |
cc38e48cb8b5603abdfca0d2efe7236cc18a449c | [
"msg.bold('pyro ...')\nif solver_name not in valid_solvers:\n msg.fail(f'ERROR: {solver_name} is not a valid solver')\nself.pyro_home = os.path.dirname(os.path.realpath(__file__)) + '/'\nif not solver_name.startswith('pyro.'):\n solver_import = 'pyro.' + solver_name\nelse:\n solver_import = solver_name\nse... | <|body_start_0|>
msg.bold('pyro ...')
if solver_name not in valid_solvers:
msg.fail(f'ERROR: {solver_name} is not a valid solver')
self.pyro_home = os.path.dirname(os.path.realpath(__file__)) + '/'
if not solver_name.startswith('pyro.'):
solver_import = 'pyro.' + ... | The main driver to run pyro. | Pyro | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Pyro:
"""The main driver to run pyro."""
def __init__(self, solver_name):
"""Constructor Parameters ---------- solver_name : str Name of solver to use"""
<|body_0|>
def initialize_problem(self, problem_name, inputs_file=None, inputs_dict=None, other_commands=None):
... | stack_v2_sparse_classes_36k_train_024075 | 11,814 | permissive | [
{
"docstring": "Constructor Parameters ---------- solver_name : str Name of solver to use",
"name": "__init__",
"signature": "def __init__(self, solver_name)"
},
{
"docstring": "Initialize the specific problem Parameters ---------- problem_name : str Name of the problem inputs_file : str Filenam... | 6 | stack_v2_sparse_classes_30k_train_008195 | Implement the Python class `Pyro` described below.
Class description:
The main driver to run pyro.
Method signatures and docstrings:
- def __init__(self, solver_name): Constructor Parameters ---------- solver_name : str Name of solver to use
- def initialize_problem(self, problem_name, inputs_file=None, inputs_dict=N... | Implement the Python class `Pyro` described below.
Class description:
The main driver to run pyro.
Method signatures and docstrings:
- def __init__(self, solver_name): Constructor Parameters ---------- solver_name : str Name of solver to use
- def initialize_problem(self, problem_name, inputs_file=None, inputs_dict=N... | f91789a319caa98dfbc3f496e9953756e6ee3ca9 | <|skeleton|>
class Pyro:
"""The main driver to run pyro."""
def __init__(self, solver_name):
"""Constructor Parameters ---------- solver_name : str Name of solver to use"""
<|body_0|>
def initialize_problem(self, problem_name, inputs_file=None, inputs_dict=None, other_commands=None):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Pyro:
"""The main driver to run pyro."""
def __init__(self, solver_name):
"""Constructor Parameters ---------- solver_name : str Name of solver to use"""
msg.bold('pyro ...')
if solver_name not in valid_solvers:
msg.fail(f'ERROR: {solver_name} is not a valid solver')
... | the_stack_v2_python_sparse | pyro/pyro_sim.py | python-hydro/pyro2 | train | 202 |
d4ec8f8729eecd0b281f940eee5246c88529ae16 | [
"def dfs(root, ret):\n if root is None:\n ret.append('#')\n return\n ret.append(str(root.val) + ',' + str(len(root.children)))\n for each in root.children:\n dfs(each, ret)\nret = []\ndfs(root, ret)\nreturn ' '.join(ret)",
"def dfs(vals):\n val = next(vals).split(',')\n if val[... | <|body_start_0|>
def dfs(root, ret):
if root is None:
ret.append('#')
return
ret.append(str(root.val) + ',' + str(len(root.children)))
for each in root.children:
dfs(each, ret)
ret = []
dfs(root, ret)
ret... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_36k_train_024076 | 4,629 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def deserialize(self, ... | 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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Nod... | 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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Nod... | 9190d3d178f1733aa226973757ee7e045b7bab00 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
def dfs(root, ret):
if root is None:
ret.append('#')
return
ret.append(str(root.val) + ',' + str(len(root.children)))
for ... | the_stack_v2_python_sparse | SerializeAndDeserializeN-aryTree.py | ellinx/LC-python | train | 1 | |
0eff3812df4e997b06ddb7419f2a895f1b87c0ac | [
"super().__init__(coordinator)\nself.entity_description: AsusWrtSensorEntityDescription = description\nself._attr_name = f'{router.name} {description.name}'\nif router.unique_id:\n self._attr_unique_id = f'{DOMAIN} {router.unique_id} {description.name}'\nelse:\n self._attr_unique_id = f'{DOMAIN} {self.name}'\... | <|body_start_0|>
super().__init__(coordinator)
self.entity_description: AsusWrtSensorEntityDescription = description
self._attr_name = f'{router.name} {description.name}'
if router.unique_id:
self._attr_unique_id = f'{DOMAIN} {router.unique_id} {description.name}'
els... | Representation of a AsusWrt sensor. | AsusWrtSensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AsusWrtSensor:
"""Representation of a AsusWrt sensor."""
def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None:
"""Initialize a AsusWrt sensor."""
<|body_0|>
def native_value(self) -> float | in... | stack_v2_sparse_classes_36k_train_024077 | 7,109 | permissive | [
{
"docstring": "Initialize a AsusWrt sensor.",
"name": "__init__",
"signature": "def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None"
},
{
"docstring": "Return current state.",
"name": "native_value",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_013105 | Implement the Python class `AsusWrtSensor` described below.
Class description:
Representation of a AsusWrt sensor.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None: Initialize a AsusWrt sensor.
- def ... | Implement the Python class `AsusWrtSensor` described below.
Class description:
Representation of a AsusWrt sensor.
Method signatures and docstrings:
- def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None: Initialize a AsusWrt sensor.
- def ... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class AsusWrtSensor:
"""Representation of a AsusWrt sensor."""
def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None:
"""Initialize a AsusWrt sensor."""
<|body_0|>
def native_value(self) -> float | in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AsusWrtSensor:
"""Representation of a AsusWrt sensor."""
def __init__(self, coordinator: DataUpdateCoordinator, router: AsusWrtRouter, description: AsusWrtSensorEntityDescription) -> None:
"""Initialize a AsusWrt sensor."""
super().__init__(coordinator)
self.entity_description: As... | the_stack_v2_python_sparse | homeassistant/components/asuswrt/sensor.py | konnected-io/home-assistant | train | 24 |
bfc0bc30d3e6fb089895488b1055641d177977e2 | [
"self.coresys: CoreSys = coresys\nself.repositories: dict[str, Any] = {}\nself.addons: dict[str, Any] = {}",
"self.repositories.clear()\nself.addons.clear()\nawait self._read_addons_folder(self.sys_config.path_addons_core, REPOSITORY_CORE)\nawait self._read_addons_folder(self.sys_config.path_addons_local, REPOSIT... | <|body_start_0|>
self.coresys: CoreSys = coresys
self.repositories: dict[str, Any] = {}
self.addons: dict[str, Any] = {}
<|end_body_0|>
<|body_start_1|>
self.repositories.clear()
self.addons.clear()
await self._read_addons_folder(self.sys_config.path_addons_core, REPOSIT... | Hold data for Add-ons inside Supervisor. | StoreData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StoreData:
"""Hold data for Add-ons inside Supervisor."""
def __init__(self, coresys: CoreSys):
"""Initialize data holder."""
<|body_0|>
async def update(self) -> None:
"""Read data from add-on repository."""
<|body_1|>
async def _find_addons(self, p... | stack_v2_sparse_classes_36k_train_024078 | 7,731 | permissive | [
{
"docstring": "Initialize data holder.",
"name": "__init__",
"signature": "def __init__(self, coresys: CoreSys)"
},
{
"docstring": "Read data from add-on repository.",
"name": "update",
"signature": "async def update(self) -> None"
},
{
"docstring": "Find add-ons in the path.",
... | 5 | null | Implement the Python class `StoreData` described below.
Class description:
Hold data for Add-ons inside Supervisor.
Method signatures and docstrings:
- def __init__(self, coresys: CoreSys): Initialize data holder.
- async def update(self) -> None: Read data from add-on repository.
- async def _find_addons(self, path:... | Implement the Python class `StoreData` described below.
Class description:
Hold data for Add-ons inside Supervisor.
Method signatures and docstrings:
- def __init__(self, coresys: CoreSys): Initialize data holder.
- async def update(self) -> None: Read data from add-on repository.
- async def _find_addons(self, path:... | 4838b280adafed0997f32e021274b531178386cd | <|skeleton|>
class StoreData:
"""Hold data for Add-ons inside Supervisor."""
def __init__(self, coresys: CoreSys):
"""Initialize data holder."""
<|body_0|>
async def update(self) -> None:
"""Read data from add-on repository."""
<|body_1|>
async def _find_addons(self, p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StoreData:
"""Hold data for Add-ons inside Supervisor."""
def __init__(self, coresys: CoreSys):
"""Initialize data holder."""
self.coresys: CoreSys = coresys
self.repositories: dict[str, Any] = {}
self.addons: dict[str, Any] = {}
async def update(self) -> None:
... | the_stack_v2_python_sparse | supervisor/store/data.py | home-assistant/supervisor | train | 928 |
3b0500c0808a64fbd32ddcf5d89f352865a7267d | [
"if request.user != self.get_object().owner:\n raise Http404\nreturn super().dispatch(request, *args, **kwargs)",
"context = super().get_context_data(**kwargs)\ncontext['description'] = self.get_object().description\nreturn context"
] | <|body_start_0|>
if request.user != self.get_object().owner:
raise Http404
return super().dispatch(request, *args, **kwargs)
<|end_body_0|>
<|body_start_1|>
context = super().get_context_data(**kwargs)
context['description'] = self.get_object().description
return con... | Actualizar una alerta. | AlertUpdateView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlertUpdateView:
"""Actualizar una alerta."""
def dispatch(self, request, *args, **kwargs):
"""Comprueba que el usuario es el owner de la alerta."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Añadir al contexto la descripción de la alerta."""
<|b... | stack_v2_sparse_classes_36k_train_024079 | 4,726 | no_license | [
{
"docstring": "Comprueba que el usuario es el owner de la alerta.",
"name": "dispatch",
"signature": "def dispatch(self, request, *args, **kwargs)"
},
{
"docstring": "Añadir al contexto la descripción de la alerta.",
"name": "get_context_data",
"signature": "def get_context_data(self, *... | 2 | null | Implement the Python class `AlertUpdateView` described below.
Class description:
Actualizar una alerta.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): Comprueba que el usuario es el owner de la alerta.
- def get_context_data(self, **kwargs): Añadir al contexto la descripción de la a... | Implement the Python class `AlertUpdateView` described below.
Class description:
Actualizar una alerta.
Method signatures and docstrings:
- def dispatch(self, request, *args, **kwargs): Comprueba que el usuario es el owner de la alerta.
- def get_context_data(self, **kwargs): Añadir al contexto la descripción de la a... | 44b8d2934105ccbf02ff6c20896aa8c2b1746eaa | <|skeleton|>
class AlertUpdateView:
"""Actualizar una alerta."""
def dispatch(self, request, *args, **kwargs):
"""Comprueba que el usuario es el owner de la alerta."""
<|body_0|>
def get_context_data(self, **kwargs):
"""Añadir al contexto la descripción de la alerta."""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AlertUpdateView:
"""Actualizar una alerta."""
def dispatch(self, request, *args, **kwargs):
"""Comprueba que el usuario es el owner de la alerta."""
if request.user != self.get_object().owner:
raise Http404
return super().dispatch(request, *args, **kwargs)
def get... | the_stack_v2_python_sparse | src/apps/alerts/views.py | snicoper/ofervivienda | train | 1 |
d1a28dc686d3a0f30cf5064f07db446b4cb7c7d5 | [
"if data is None:\n if lambtha <= 0:\n raise ValueError('lambtha must be a positive value')\n self.lambtha = lambtha\nelse:\n if type(data) is not list:\n raise TypeError('data must be a list')\n if len(data) < 2:\n raise ValueError('data must contain multiple values')\n self.lam... | <|body_start_0|>
if data is None:
if lambtha <= 0:
raise ValueError('lambtha must be a positive value')
self.lambtha = lambtha
else:
if type(data) is not list:
raise TypeError('data must be a list')
if len(data) < 2:
... | Poisson distribution class | Poisson | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Poisson:
"""Poisson distribution class"""
def __init__(self, data=None, lambtha=1.0):
"""Poisson intialization"""
<|body_0|>
def pmf(self, k):
"""calculates value of PMF for given number of successes Args: k (int): the number of “successes” Returns: (int) the PMF... | stack_v2_sparse_classes_36k_train_024080 | 1,611 | no_license | [
{
"docstring": "Poisson intialization",
"name": "__init__",
"signature": "def __init__(self, data=None, lambtha=1.0)"
},
{
"docstring": "calculates value of PMF for given number of successes Args: k (int): the number of “successes” Returns: (int) the PMF value for k",
"name": "pmf",
"sig... | 3 | null | Implement the Python class `Poisson` described below.
Class description:
Poisson distribution class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Poisson intialization
- def pmf(self, k): calculates value of PMF for given number of successes Args: k (int): the number of “successes” R... | Implement the Python class `Poisson` described below.
Class description:
Poisson distribution class
Method signatures and docstrings:
- def __init__(self, data=None, lambtha=1.0): Poisson intialization
- def pmf(self, k): calculates value of PMF for given number of successes Args: k (int): the number of “successes” R... | 2eb7965900fd018f4092d2fb1e2055d35ba4899e | <|skeleton|>
class Poisson:
"""Poisson distribution class"""
def __init__(self, data=None, lambtha=1.0):
"""Poisson intialization"""
<|body_0|>
def pmf(self, k):
"""calculates value of PMF for given number of successes Args: k (int): the number of “successes” Returns: (int) the PMF... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Poisson:
"""Poisson distribution class"""
def __init__(self, data=None, lambtha=1.0):
"""Poisson intialization"""
if data is None:
if lambtha <= 0:
raise ValueError('lambtha must be a positive value')
self.lambtha = lambtha
else:
... | the_stack_v2_python_sparse | math/0x03-probability/poisson.py | s0m35h1t/holbertonschool-machine_learning | train | 0 |
5493ad710279bda247a961503a88a92787165840 | [
"parser.add_argument('usernames', metavar='USERNAME', nargs='*', help=_('Specific GitHub account users to reset. If not provided, all users will be reset.'))\nparser.add_argument('--yes', action='store_true', default=False, dest='force_yes', help=_('Answer yes to all questions'))\nparser.add_argument('--local-sites... | <|body_start_0|>
parser.add_argument('usernames', metavar='USERNAME', nargs='*', help=_('Specific GitHub account users to reset. If not provided, all users will be reset.'))
parser.add_argument('--yes', action='store_true', default=False, dest='force_yes', help=_('Answer yes to all questions'))
... | Management command for resetting GitHub auth tokens. | Command | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""Management command for resetting GitHub auth tokens."""
def add_arguments(self, parser):
"""Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command."""
<|body_0|>
def handle(self, *usernames, **options):
... | stack_v2_sparse_classes_36k_train_024081 | 4,284 | permissive | [
{
"docstring": "Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command.",
"name": "add_arguments",
"signature": "def add_arguments(self, parser)"
},
{
"docstring": "Handle the command. Args: *usernames (tuple): A list of usernames containing tok... | 3 | stack_v2_sparse_classes_30k_train_015304 | Implement the Python class `Command` described below.
Class description:
Management command for resetting GitHub auth tokens.
Method signatures and docstrings:
- def add_arguments(self, parser): Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command.
- def handle(sel... | Implement the Python class `Command` described below.
Class description:
Management command for resetting GitHub auth tokens.
Method signatures and docstrings:
- def add_arguments(self, parser): Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command.
- def handle(sel... | 563c1e8d4dfd860f372281dc0f380a0809f6ae15 | <|skeleton|>
class Command:
"""Management command for resetting GitHub auth tokens."""
def add_arguments(self, parser):
"""Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command."""
<|body_0|>
def handle(self, *usernames, **options):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Command:
"""Management command for resetting GitHub auth tokens."""
def add_arguments(self, parser):
"""Add arguments to the command. Args: parser (argparse.ArgumentParser): The argument parser for the command."""
parser.add_argument('usernames', metavar='USERNAME', nargs='*', help=_('Spe... | the_stack_v2_python_sparse | reviewboard/hostingsvcs/management/commands/reset-github-tokens.py | LloydFinch/reviewboard | train | 2 |
e915bde217967d7190e4f2c7576370f4806ebffa | [
"try:\n with open(self.file_name, mode) as file:\n file.write(data)\nexcept FileNotFoundError:\n with open(self.file_name, 'wb') as file:\n file.write(data)\nexcept EOFError:\n with open(self.file_name, 'wb') as file:\n file.write(data)",
"try:\n with open(self.file_name, mode) as... | <|body_start_0|>
try:
with open(self.file_name, mode) as file:
file.write(data)
except FileNotFoundError:
with open(self.file_name, 'wb') as file:
file.write(data)
except EOFError:
with open(self.file_name, 'wb') as file:
... | Use read-write mode process files. | ReadWriteFileProcess | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReadWriteFileProcess:
"""Use read-write mode process files."""
def write(self, data, mode):
"""Write file."""
<|body_0|>
def writelines(self, data, mode):
"""Write file in lines."""
<|body_1|>
def read(self, mode, return_form='str'):
"""Read ... | stack_v2_sparse_classes_36k_train_024082 | 2,057 | no_license | [
{
"docstring": "Write file.",
"name": "write",
"signature": "def write(self, data, mode)"
},
{
"docstring": "Write file in lines.",
"name": "writelines",
"signature": "def writelines(self, data, mode)"
},
{
"docstring": "Read file.",
"name": "read",
"signature": "def read... | 3 | stack_v2_sparse_classes_30k_train_009644 | Implement the Python class `ReadWriteFileProcess` described below.
Class description:
Use read-write mode process files.
Method signatures and docstrings:
- def write(self, data, mode): Write file.
- def writelines(self, data, mode): Write file in lines.
- def read(self, mode, return_form='str'): Read file. | Implement the Python class `ReadWriteFileProcess` described below.
Class description:
Use read-write mode process files.
Method signatures and docstrings:
- def write(self, data, mode): Write file.
- def writelines(self, data, mode): Write file in lines.
- def read(self, mode, return_form='str'): Read file.
<|skelet... | 1e8340303809d8c7c3af3201084b158c1784f22e | <|skeleton|>
class ReadWriteFileProcess:
"""Use read-write mode process files."""
def write(self, data, mode):
"""Write file."""
<|body_0|>
def writelines(self, data, mode):
"""Write file in lines."""
<|body_1|>
def read(self, mode, return_form='str'):
"""Read ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReadWriteFileProcess:
"""Use read-write mode process files."""
def write(self, data, mode):
"""Write file."""
try:
with open(self.file_name, mode) as file:
file.write(data)
except FileNotFoundError:
with open(self.file_name, 'wb') as file:
... | the_stack_v2_python_sparse | python_project/project/auto_reply_robot/utility/files_helper.py | skymoonfp/python_learning | train | 0 |
24c91ec11dd69fd6b36d2253ceaeabeaf9123db4 | [
"self.db_UF = db_UF\nself.db_OF = db_OF\nself.k_UF = k_UF\nself.k_OF = k_OF\nself.P_avl = P_avl\nself.P_min = P_min\nself.P_pre = P_pre",
"if f < 60 - self.db_UF:\n P = min(self.P_pre + (60 - self.db_UF - f) / (60 * self.k_UF), self.P_avl)\nelif f > 60 + self.db_OF:\n P = max(self.P_pre - (f - (60 + self.db... | <|body_start_0|>
self.db_UF = db_UF
self.db_OF = db_OF
self.k_UF = k_UF
self.k_OF = k_OF
self.P_avl = P_avl
self.P_min = P_min
self.P_pre = P_pre
<|end_body_0|>
<|body_start_1|>
if f < 60 - self.db_UF:
P = min(self.P_pre + (60 - self.db_UF - f... | This class describes Frequency-Droop operation of device fleet | FrequencyDroop | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FrequencyDroop:
"""This class describes Frequency-Droop operation of device fleet"""
def __init__(self, db_UF, db_OF, k_UF, k_OF, P_avl, P_min, P_pre):
"""initiating variables to evaluate the Frequency-Droop function parameters defining curve: db_UF,db_OF,k_UF,k_OF State variable: P_... | stack_v2_sparse_classes_36k_train_024083 | 2,094 | permissive | [
{
"docstring": "initiating variables to evaluate the Frequency-Droop function parameters defining curve: db_UF,db_OF,k_UF,k_OF State variable: P_avl,P_min,P_pre State variables will be updated by the fleet whenever the state of the fleet changes parameters will be updated by the high level controller whenever a... | 2 | stack_v2_sparse_classes_30k_train_021362 | Implement the Python class `FrequencyDroop` described below.
Class description:
This class describes Frequency-Droop operation of device fleet
Method signatures and docstrings:
- def __init__(self, db_UF, db_OF, k_UF, k_OF, P_avl, P_min, P_pre): initiating variables to evaluate the Frequency-Droop function parameters... | Implement the Python class `FrequencyDroop` described below.
Class description:
This class describes Frequency-Droop operation of device fleet
Method signatures and docstrings:
- def __init__(self, db_UF, db_OF, k_UF, k_OF, P_avl, P_min, P_pre): initiating variables to evaluate the Frequency-Droop function parameters... | 07ff5c6505aa6ab0a7c0ee144da20303c60baad4 | <|skeleton|>
class FrequencyDroop:
"""This class describes Frequency-Droop operation of device fleet"""
def __init__(self, db_UF, db_OF, k_UF, k_OF, P_avl, P_min, P_pre):
"""initiating variables to evaluate the Frequency-Droop function parameters defining curve: db_UF,db_OF,k_UF,k_OF State variable: P_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FrequencyDroop:
"""This class describes Frequency-Droop operation of device fleet"""
def __init__(self, db_UF, db_OF, k_UF, k_OF, P_avl, P_min, P_pre):
"""initiating variables to evaluate the Frequency-Droop function parameters defining curve: db_UF,db_OF,k_UF,k_OF State variable: P_avl,P_min,P_p... | the_stack_v2_python_sparse | src/frequency_droop.py | GMLC-1-4-2/battery_interface | train | 2 |
cf9b6aa84a82511f7e578b22594ab8d20ddf34ef | [
"if 'result' in response_json:\n return SuccessResponse.from_json(response_json)\nelif 'error' in response_json:\n return ErrorResponse.from_json(response_json)\nelse:\n raise InvalidRequestError('Either `result` or `error` must be presented in JSON-RPC ' + f'responses. Got {response_json}.')",
"try:\n ... | <|body_start_0|>
if 'result' in response_json:
return SuccessResponse.from_json(response_json)
elif 'error' in response_json:
return ErrorResponse.from_json(response_json)
else:
raise InvalidRequestError('Either `result` or `error` must be presented in JSON-RP... | Response | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Response:
def from_json(response_json: JSON) -> 'Response':
"""Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed."""
<|body_0|>
def from_string(response_string: str) -> 'Response':
"""Parse a given string into a J... | stack_v2_sparse_classes_36k_train_024084 | 11,537 | permissive | [
{
"docstring": "Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed.",
"name": "from_json",
"signature": "def from_json(response_json: JSON) -> 'Response'"
},
{
"docstring": "Parse a given string into a JSON-RPC response. Raises `ParseError` if... | 2 | null | Implement the Python class `Response` described below.
Class description:
Implement the Response class.
Method signatures and docstrings:
- def from_json(response_json: JSON) -> 'Response': Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed.
- def from_string(respo... | Implement the Python class `Response` described below.
Class description:
Implement the Response class.
Method signatures and docstrings:
- def from_json(response_json: JSON) -> 'Response': Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed.
- def from_string(respo... | fe8ccedc572cc1faa1fd01e9138f65e982875002 | <|skeleton|>
class Response:
def from_json(response_json: JSON) -> 'Response':
"""Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed."""
<|body_0|>
def from_string(response_string: str) -> 'Response':
"""Parse a given string into a J... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Response:
def from_json(response_json: JSON) -> 'Response':
"""Parse a given JSON into a JSON-RPC response. Raises `InvalidRequestError` if the JSON body is malformed."""
if 'result' in response_json:
return SuccessResponse.from_json(response_json)
elif 'error' in response_... | the_stack_v2_python_sparse | client/json_rpc.py | facebook/pyre-check | train | 6,703 | |
1b3b8aef461926e771e8748320838a3fa9e19765 | [
"class NavigationCls(NavigationMixin, InvenTreePlugin):\n NAVIGATION = [{'name': 'aa', 'link': 'plugin:test:test_view'}]\n NAVIGATION_TAB_NAME = 'abcd1'\nself.mixin = NavigationCls()\n\nclass NothingNavigationCls(NavigationMixin, InvenTreePlugin):\n pass\nself.nothing_mixin = NothingNavigationCls()",
"se... | <|body_start_0|>
class NavigationCls(NavigationMixin, InvenTreePlugin):
NAVIGATION = [{'name': 'aa', 'link': 'plugin:test:test_view'}]
NAVIGATION_TAB_NAME = 'abcd1'
self.mixin = NavigationCls()
class NothingNavigationCls(NavigationMixin, InvenTreePlugin):
pas... | Tests for NavigationMixin. | NavigationMixinTest | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NavigationMixinTest:
"""Tests for NavigationMixin."""
def setUp(self):
"""Setup for all tests."""
<|body_0|>
def test_function(self):
"""Test that a correct configuration functions."""
<|body_1|>
def test_fail(self):
"""Test that wrong links ... | stack_v2_sparse_classes_36k_train_024085 | 14,946 | permissive | [
{
"docstring": "Setup for all tests.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that a correct configuration functions.",
"name": "test_function",
"signature": "def test_function(self)"
},
{
"docstring": "Test that wrong links fail.",
"name": "t... | 3 | null | Implement the Python class `NavigationMixinTest` described below.
Class description:
Tests for NavigationMixin.
Method signatures and docstrings:
- def setUp(self): Setup for all tests.
- def test_function(self): Test that a correct configuration functions.
- def test_fail(self): Test that wrong links fail. | Implement the Python class `NavigationMixinTest` described below.
Class description:
Tests for NavigationMixin.
Method signatures and docstrings:
- def setUp(self): Setup for all tests.
- def test_function(self): Test that a correct configuration functions.
- def test_fail(self): Test that wrong links fail.
<|skelet... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class NavigationMixinTest:
"""Tests for NavigationMixin."""
def setUp(self):
"""Setup for all tests."""
<|body_0|>
def test_function(self):
"""Test that a correct configuration functions."""
<|body_1|>
def test_fail(self):
"""Test that wrong links ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NavigationMixinTest:
"""Tests for NavigationMixin."""
def setUp(self):
"""Setup for all tests."""
class NavigationCls(NavigationMixin, InvenTreePlugin):
NAVIGATION = [{'name': 'aa', 'link': 'plugin:test:test_view'}]
NAVIGATION_TAB_NAME = 'abcd1'
self.mixin ... | the_stack_v2_python_sparse | InvenTree/plugin/base/integration/test_mixins.py | inventree/InvenTree | train | 3,077 |
a0123f76b9e5d5ea2c6c6d4de5954d068b697cd5 | [
"frame = Frame(user=user or g.current_user)\nframe.from_dict(data)\nreturn frame",
"for key in list(data.keys()):\n try:\n setattr(self, key, data[key])\n except KeyError:\n print(f'Key {key} not valid.')"
] | <|body_start_0|>
frame = Frame(user=user or g.current_user)
frame.from_dict(data)
return frame
<|end_body_0|>
<|body_start_1|>
for key in list(data.keys()):
try:
setattr(self, key, data[key])
except KeyError:
print(f'Key {key} not ... | The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlchemy table column, int): User's login count frame_count (SQLAlchemy tabl... | Frame | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Frame:
"""The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlchemy table column, int): User's login c... | stack_v2_sparse_classes_36k_train_024086 | 7,286 | permissive | [
{
"docstring": "Create a new frame. The user is obtained from the context unless provided explicitly. Args: data (dict): Dictionary containing values for some or all class attributes listed above Returns: frame (object): Newly generated frame",
"name": "create",
"signature": "def create(data, user=None)... | 2 | stack_v2_sparse_classes_30k_train_011421 | Implement the Python class `Frame` described below.
Class description:
The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlc... | Implement the Python class `Frame` described below.
Class description:
The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlc... | d1ddc6d086bf93b36a430fbcae0af14b9c584e92 | <|skeleton|>
class Frame:
"""The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlchemy table column, int): User's login c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Frame:
"""The Frames model Attributes: __tablename__ (str): Table name for user model in database instance (SQLAlchemy table column, str): Unique ID for processed frame date (SQLAlchemy table column, datetime): Date that frame is processed session_id (SQLAlchemy table column, int): User's login count frame_co... | the_stack_v2_python_sparse | gesture_recognition/models.py | JoshBClemons/gesture_recognition | train | 0 |
db177f577738333fb0193637b54f2bd17b2fe4df | [
"super(StandardPointHead, self).__init__()\nnum_classes = num_classes\nfc_dim = 256\nnum_fc = 3\ncls_agnostic_mask = False\nself.coarse_pred_each_layer = True\ninput_channels = input_channels\nself.cat = ops.Concat(1)\nself.relu = ops.ReLU()\nfc_dim_in = input_channels + num_classes\nfc_layers = []\nfor _ in range(... | <|body_start_0|>
super(StandardPointHead, self).__init__()
num_classes = num_classes
fc_dim = 256
num_fc = 3
cls_agnostic_mask = False
self.coarse_pred_each_layer = True
input_channels = input_channels
self.cat = ops.Concat(1)
self.relu = ops.ReLU(... | A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input. | StandardPointHead | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StandardPointHead:
"""A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input."""
def __init__(self, input_channels, num_classes):
"""The following attributes are parsed from con... | stack_v2_sparse_classes_36k_train_024087 | 5,823 | permissive | [
{
"docstring": "The following attributes are parsed from config: fc_dim: the output dimension of each FC layers num_fc: the number of FC layers coarse_pred_each_layer: if True, coarse prediction features are concatenated to each layer's input",
"name": "__init__",
"signature": "def __init__(self, input_... | 2 | null | Implement the Python class `StandardPointHead` described below.
Class description:
A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input.
Method signatures and docstrings:
- def __init__(self, input_channels, n... | Implement the Python class `StandardPointHead` described below.
Class description:
A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input.
Method signatures and docstrings:
- def __init__(self, input_channels, n... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class StandardPointHead:
"""A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input."""
def __init__(self, input_channels, num_classes):
"""The following attributes are parsed from con... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StandardPointHead:
"""A point head multi-layer perceptron which we model with conv1d layers with kernel 1. The head takes both fine-grained and coarse prediction features as its input."""
def __init__(self, input_channels, num_classes):
"""The following attributes are parsed from config: fc_dim: ... | the_stack_v2_python_sparse | community/cv/pointrend/maskrcnn_pointrend/src/point_rend/point_head.py | mindspore-ai/models | train | 301 |
5a31de627698e051b0644b1688aee3c1a6968d32 | [
"self.mean = mean\nself.phi = phi\nself.tau = tau\nself.sigma = np.sqrt(phi ** 2 + tau ** 2)",
"mean = np.full_like(dists.rjb, self.mean)\nstddevs = []\nfor stddev_type in stddev_types:\n if stddev_type == const.StdDev.TOTAL:\n stddevs.append(np.full_like(dists.rjb, np.sqrt(self.phi ** 2 + self.tau ** 2... | <|body_start_0|>
self.mean = mean
self.phi = phi
self.tau = tau
self.sigma = np.sqrt(phi ** 2 + tau ** 2)
<|end_body_0|>
<|body_start_1|>
mean = np.full_like(dists.rjb, self.mean)
stddevs = []
for stddev_type in stddev_types:
if stddev_type == const.S... | This is a GMPE for testing. It returns the mean and stddevs specified in the constructor. | NullGMPE | [
"LicenseRef-scancode-warranty-disclaimer",
"CC0-1.0",
"Python-2.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NullGMPE:
"""This is a GMPE for testing. It returns the mean and stddevs specified in the constructor."""
def __init__(self, mean=0, phi=0.8, tau=0.6):
"""The default constructor takes three named arguments: Args: mean (float): the mean value returned by the GMPE (default=0). This va... | stack_v2_sparse_classes_36k_train_024088 | 3,044 | permissive | [
{
"docstring": "The default constructor takes three named arguments: Args: mean (float): the mean value returned by the GMPE (default=0). This value is returned for all locations, regardles of the IMT or the contents of sites, rupture and distance contexts. phi (float): the within-event standard deviation retur... | 2 | stack_v2_sparse_classes_30k_train_006528 | Implement the Python class `NullGMPE` described below.
Class description:
This is a GMPE for testing. It returns the mean and stddevs specified in the constructor.
Method signatures and docstrings:
- def __init__(self, mean=0, phi=0.8, tau=0.6): The default constructor takes three named arguments: Args: mean (float):... | Implement the Python class `NullGMPE` described below.
Class description:
This is a GMPE for testing. It returns the mean and stddevs specified in the constructor.
Method signatures and docstrings:
- def __init__(self, mean=0, phi=0.8, tau=0.6): The default constructor takes three named arguments: Args: mean (float):... | 8094736e43cc8043044344116b064917d5560c5a | <|skeleton|>
class NullGMPE:
"""This is a GMPE for testing. It returns the mean and stddevs specified in the constructor."""
def __init__(self, mean=0, phi=0.8, tau=0.6):
"""The default constructor takes three named arguments: Args: mean (float): the mean value returned by the GMPE (default=0). This va... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NullGMPE:
"""This is a GMPE for testing. It returns the mean and stddevs specified in the constructor."""
def __init__(self, mean=0, phi=0.8, tau=0.6):
"""The default constructor takes three named arguments: Args: mean (float): the mean value returned by the GMPE (default=0). This value is return... | the_stack_v2_python_sparse | shakelib/gmpe/nullgmpe.py | GeoscienceAustralia/shakemap | train | 1 |
4cc00b180ef784feec4d828709a1edb70d420f51 | [
"assert isinstance(context, np.ndarray)\nassert len(np.shape(context)) == 2 or len(np.shape(context)) == 3\nif len(np.shape(context)) == 2:\n self.context = np.array([context.copy()])\nelse:\n self.context = context.copy()\nself.cnum, self.n, self.d = np.shape(self.context)\nself.A = np.eye(self.d, self.d)\ns... | <|body_start_0|>
assert isinstance(context, np.ndarray)
assert len(np.shape(context)) == 2 or len(np.shape(context)) == 3
if len(np.shape(context)) == 2:
self.context = np.array([context.copy()])
else:
self.context = context.copy()
self.cnum, self.n, self.... | SemiparaContextBandit | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SemiparaContextBandit:
def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3):
"""Initialize the agent."""
<|body_0|>
def update_observation(self, observation, action, reward):
"""Add an observation to the records."""
<|body_1|>
def pick_action... | stack_v2_sparse_classes_36k_train_024089 | 6,668 | permissive | [
{
"docstring": "Initialize the agent.",
"name": "__init__",
"signature": "def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3)"
},
{
"docstring": "Add an observation to the records.",
"name": "update_observation",
"signature": "def update_observation(self, observation, action... | 3 | stack_v2_sparse_classes_30k_train_015780 | Implement the Python class `SemiparaContextBandit` described below.
Class description:
Implement the SemiparaContextBandit class.
Method signatures and docstrings:
- def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3): Initialize the agent.
- def update_observation(self, observation, action, reward): Add... | Implement the Python class `SemiparaContextBandit` described below.
Class description:
Implement the SemiparaContextBandit class.
Method signatures and docstrings:
- def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3): Initialize the agent.
- def update_observation(self, observation, action, reward): Add... | 6e33ba3343fcc013ad4639993c39fe425e28634e | <|skeleton|>
class SemiparaContextBandit:
def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3):
"""Initialize the agent."""
<|body_0|>
def update_observation(self, observation, action, reward):
"""Add an observation to the records."""
<|body_1|>
def pick_action... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SemiparaContextBandit:
def __init__(self, context, sigma1=0.3, sigma2=0.01, sigma3=0.3):
"""Initialize the agent."""
assert isinstance(context, np.ndarray)
assert len(np.shape(context)) == 2 or len(np.shape(context)) == 3
if len(np.shape(context)) == 2:
self.context... | the_stack_v2_python_sparse | context/agent_semipara.py | anon-usr/INLUCB | train | 0 | |
2f3cfdb42e8b799e315dd81404ce551af905f8a8 | [
"for i in range(len(haystack) - len(needle) + 1):\n if haystack[i:i + len(needle)] == needle:\n return i\nreturn -1",
"if not needle:\n return 0\nif len(haystack) < len(needle):\n return -1\nfor i in range(len(haystack) - len(needle) + 1):\n if haystack[i:i + len(needle)] == needle:\n re... | <|body_start_0|>
for i in range(len(haystack) - len(needle) + 1):
if haystack[i:i + len(needle)] == needle:
return i
return -1
<|end_body_0|>
<|body_start_1|>
if not needle:
return 0
if len(haystack) < len(needle):
return -1
fo... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def strStr(self, haystack: str, needle: str) -> int:
"""查找第一次出现needle的位置"""
<|body_0|>
def strStr2(self, haystack: str, needle: str) -> int:
"""查找第一次出现needle的位置"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for i in range(len(haystack) -... | stack_v2_sparse_classes_36k_train_024090 | 2,130 | no_license | [
{
"docstring": "查找第一次出现needle的位置",
"name": "strStr",
"signature": "def strStr(self, haystack: str, needle: str) -> int"
},
{
"docstring": "查找第一次出现needle的位置",
"name": "strStr2",
"signature": "def strStr2(self, haystack: str, needle: str) -> int"
}
] | 2 | stack_v2_sparse_classes_30k_train_008967 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def strStr(self, haystack: str, needle: str) -> int: 查找第一次出现needle的位置
- def strStr2(self, haystack: str, needle: str) -> int: 查找第一次出现needle的位置 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def strStr(self, haystack: str, needle: str) -> int: 查找第一次出现needle的位置
- def strStr2(self, haystack: str, needle: str) -> int: 查找第一次出现needle的位置
<|skeleton|>
class Solution:
... | 7f8145f0c7ffdf18c557f01d221087b10443156e | <|skeleton|>
class Solution:
def strStr(self, haystack: str, needle: str) -> int:
"""查找第一次出现needle的位置"""
<|body_0|>
def strStr2(self, haystack: str, needle: str) -> int:
"""查找第一次出现needle的位置"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def strStr(self, haystack: str, needle: str) -> int:
"""查找第一次出现needle的位置"""
for i in range(len(haystack) - len(needle) + 1):
if haystack[i:i + len(needle)] == needle:
return i
return -1
def strStr2(self, haystack: str, needle: str) -> int:
... | the_stack_v2_python_sparse | str/028 Implement strStr().py | mofei952/leetcode_python | train | 0 | |
0036aeff62e3ce5b030996a48cdfa1a47ea847af | [
"self.color = Joueur.color[Joueur.index]\nJoueur.index += 1\nself.adversaire = adversaire\nself.score = 0\nself.carte_wagon = [pioche_wagon.pick() for i in range(4)]\nself.carte_destination = [pioche_destination.pick() for j in range(1)]\nself.reserve_de_wagon = [Wagon(self.color) for i in range(45)]",
"score = 0... | <|body_start_0|>
self.color = Joueur.color[Joueur.index]
Joueur.index += 1
self.adversaire = adversaire
self.score = 0
self.carte_wagon = [pioche_wagon.pick() for i in range(4)]
self.carte_destination = [pioche_destination.pick() for j in range(1)]
self.reserve_de... | defini les attributs d'un joueur | Joueur | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Joueur:
"""defini les attributs d'un joueur"""
def __init__(self, pioche_wagon, pioche_destination, adversaire=None):
"""crée le joueur"""
<|body_0|>
def calculate_final_score(self, plateau):
"""permet de connaitre le score final du joueur"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_024091 | 1,414 | no_license | [
{
"docstring": "crée le joueur",
"name": "__init__",
"signature": "def __init__(self, pioche_wagon, pioche_destination, adversaire=None)"
},
{
"docstring": "permet de connaitre le score final du joueur",
"name": "calculate_final_score",
"signature": "def calculate_final_score(self, plate... | 2 | null | Implement the Python class `Joueur` described below.
Class description:
defini les attributs d'un joueur
Method signatures and docstrings:
- def __init__(self, pioche_wagon, pioche_destination, adversaire=None): crée le joueur
- def calculate_final_score(self, plateau): permet de connaitre le score final du joueur | Implement the Python class `Joueur` described below.
Class description:
defini les attributs d'un joueur
Method signatures and docstrings:
- def __init__(self, pioche_wagon, pioche_destination, adversaire=None): crée le joueur
- def calculate_final_score(self, plateau): permet de connaitre le score final du joueur
<... | 147773cc8871d74f1ec1d6bd03e3cce95e9490d1 | <|skeleton|>
class Joueur:
"""defini les attributs d'un joueur"""
def __init__(self, pioche_wagon, pioche_destination, adversaire=None):
"""crée le joueur"""
<|body_0|>
def calculate_final_score(self, plateau):
"""permet de connaitre le score final du joueur"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Joueur:
"""defini les attributs d'un joueur"""
def __init__(self, pioche_wagon, pioche_destination, adversaire=None):
"""crée le joueur"""
self.color = Joueur.color[Joueur.index]
Joueur.index += 1
self.adversaire = adversaire
self.score = 0
self.carte_wagon... | the_stack_v2_python_sparse | theorie_des_graphes/Aventurier_du_rail/Joueur.py | porigonop/code_v2 | train | 0 |
337eddbef26f1ccbfe0db7343b8bfe540a7d8811 | [
"c, h = carry\nhidden_features = h.shape[-1]\ndense_h = linear.Dense.partial(inputs=h, features=hidden_features, bias=True, kernel_init=recurrent_kernel_init, bias_init=bias_init)\ndense_i = linear.Dense.partial(inputs=inputs, features=hidden_features, bias=False, kernel_init=kernel_init)\ni = gate_fn(dense_i(name=... | <|body_start_0|>
c, h = carry
hidden_features = h.shape[-1]
dense_h = linear.Dense.partial(inputs=h, features=hidden_features, bias=True, kernel_init=recurrent_kernel_init, bias_init=bias_init)
dense_i = linear.Dense.partial(inputs=inputs, features=hidden_features, bias=False, kernel_ini... | DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell. | LSTMCell | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMCell:
"""DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell."""
def apply(self, carry, inputs, gate_fn=activation.sigmoid, activation_fn=acti... | stack_v2_sparse_classes_36k_train_024092 | 16,408 | permissive | [
{
"docstring": "A long short-term memory (LSTM) cell. the mathematical definition of the cell is as follows .. math:: \\\\begin{array}{ll} i = \\\\sigma(W_{ii} x + W_{hi} h + b_{hi}) \\\\\\\\ f = \\\\sigma(W_{if} x + W_{hf} h + b_{hf}) \\\\\\\\ g = \\\\tanh(W_{ig} x + W_{hg} h + b_{hg}) \\\\\\\\ o = \\\\sigma(W... | 2 | stack_v2_sparse_classes_30k_train_004147 | Implement the Python class `LSTMCell` described below.
Class description:
DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell.
Method signatures and docstrings:
- def apply... | Implement the Python class `LSTMCell` described below.
Class description:
DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell.
Method signatures and docstrings:
- def apply... | 87a483b2b93fa1dd7934da520348e6ce8d7851b4 | <|skeleton|>
class LSTMCell:
"""DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell."""
def apply(self, carry, inputs, gate_fn=activation.sigmoid, activation_fn=acti... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LSTMCell:
"""DEPRECATION WARNING: The `flax.nn` module is Deprecated, use `flax.linen` instead. Learn more and find an upgrade guide at https://github.com/google/flax/blob/master/flax/linen/README.md" LSTM cell."""
def apply(self, carry, inputs, gate_fn=activation.sigmoid, activation_fn=activation.tanh, ... | the_stack_v2_python_sparse | flax/nn/recurrent.py | marcvanzee/flax | train | 3 |
0cf4d6fac4082cf456afc78b9cb480aa948d7f9b | [
"args = self.args\nif len(args.rsplit()) != 2:\n self.statname = None\n self.statvalue = None\n return\nstatname = args.rsplit()[0]\nstatvalue = args.rsplit()[1]\nself.statname = statname\nself.statvalue = statvalue",
"allowed_statnames = self.caller.db.stats.keys()\nerrmsg1 = 'You must supply a stat ( %... | <|body_start_0|>
args = self.args
if len(args.rsplit()) != 2:
self.statname = None
self.statvalue = None
return
statname = args.rsplit()[0]
statvalue = args.rsplit()[1]
self.statname = statname
self.statvalue = statvalue
<|end_body_0|>
... | set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation. | CmdSetStat | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CmdSetStat:
"""set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation."""
def parse(self):
"""This parses the arguments"""
<|body_0|>
def func(self):
"""This perform... | stack_v2_sparse_classes_36k_train_024093 | 19,545 | no_license | [
{
"docstring": "This parses the arguments",
"name": "parse",
"signature": "def parse(self)"
},
{
"docstring": "This performs the actual command",
"name": "func",
"signature": "def func(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000973 | Implement the Python class `CmdSetStat` described below.
Class description:
set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation.
Method signatures and docstrings:
- def parse(self): This parses the arguments
- def fun... | Implement the Python class `CmdSetStat` described below.
Class description:
set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation.
Method signatures and docstrings:
- def parse(self): This parses the arguments
- def fun... | 66e9c2ab1570bc8f439cf6ccde872534eecb0d62 | <|skeleton|>
class CmdSetStat:
"""set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation."""
def parse(self):
"""This parses the arguments"""
<|body_0|>
def func(self):
"""This perform... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CmdSetStat:
"""set a stat of a character Usage: +setstat (stat) (1-200) This sets the power of the current character. This can only be used during character generation."""
def parse(self):
"""This parses the arguments"""
args = self.args
if len(args.rsplit()) != 2:
sel... | the_stack_v2_python_sparse | commands/command.py | Cidusii/Kyatsu | train | 0 |
5185bb801ee338a913931878bdc5638913f4f7d3 | [
"data = np.zeros((100, 60, 9))\ndata_1 = np.zeros((50, 30, 5))\ndata_2 = np.zeros((25, 15, 3))\nres = downsample_raw(data, numlevels=2)\nmatch = np.array_equal(data_1, res[0])\nself.assertTrue(match)\nmatch = np.array_equal(data_2, res[1])\nself.assertTrue(match)",
"founderror = False\ntry:\n data2d = np.zeros... | <|body_start_0|>
data = np.zeros((100, 60, 9))
data_1 = np.zeros((50, 30, 5))
data_2 = np.zeros((25, 15, 3))
res = downsample_raw(data, numlevels=2)
match = np.array_equal(data_1, res[0])
self.assertTrue(match)
match = np.array_equal(data_2, res[1])
self.a... | Tests array downsampling routines. | Testdownsample | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Testdownsample:
"""Tests array downsampling routines."""
def test_downsample_raw_blank(self):
"""Tests downsample_raw dimensions and pyramid creation."""
<|body_0|>
def test_downsample_3Dlabels_bad(self):
"""Tests that illegal input gracefully fails in label down... | stack_v2_sparse_classes_36k_train_024094 | 5,391 | permissive | [
{
"docstring": "Tests downsample_raw dimensions and pyramid creation.",
"name": "test_downsample_raw_blank",
"signature": "def test_downsample_raw_blank(self)"
},
{
"docstring": "Tests that illegal input gracefully fails in label downsample.",
"name": "test_downsample_3Dlabels_bad",
"sig... | 3 | null | Implement the Python class `Testdownsample` described below.
Class description:
Tests array downsampling routines.
Method signatures and docstrings:
- def test_downsample_raw_blank(self): Tests downsample_raw dimensions and pyramid creation.
- def test_downsample_3Dlabels_bad(self): Tests that illegal input gracefull... | Implement the Python class `Testdownsample` described below.
Class description:
Tests array downsampling routines.
Method signatures and docstrings:
- def test_downsample_raw_blank(self): Tests downsample_raw dimensions and pyramid creation.
- def test_downsample_3Dlabels_bad(self): Tests that illegal input gracefull... | 14b271b150508ad247347898c0b1ac7365931b05 | <|skeleton|>
class Testdownsample:
"""Tests array downsampling routines."""
def test_downsample_raw_blank(self):
"""Tests downsample_raw dimensions and pyramid creation."""
<|body_0|>
def test_downsample_3Dlabels_bad(self):
"""Tests that illegal input gracefully fails in label down... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Testdownsample:
"""Tests array downsampling routines."""
def test_downsample_raw_blank(self):
"""Tests downsample_raw dimensions and pyramid creation."""
data = np.zeros((100, 60, 9))
data_1 = np.zeros((50, 30, 5))
data_2 = np.zeros((25, 15, 3))
res = downsample_ra... | the_stack_v2_python_sparse | obsolete/unit_tests/reconutils/unit_tests/test_downsample.py | janelia-flyem/flyemflows | train | 1 |
d592c134d1f42716119ababe80909bd8d0ec0044 | [
"self._entity_ids = entity_ids\nself._attr_name = name\nself._attr_extra_state_attributes = {ATTR_ENTITY_ID: entity_ids}\nself._attr_unique_id = unique_id\nself._attr_event_types = []",
"@callback\ndef async_state_changed_listener(event: EventType[EventStateChangedData]) -> None:\n \"\"\"Handle child updates.\... | <|body_start_0|>
self._entity_ids = entity_ids
self._attr_name = name
self._attr_extra_state_attributes = {ATTR_ENTITY_ID: entity_ids}
self._attr_unique_id = unique_id
self._attr_event_types = []
<|end_body_0|>
<|body_start_1|>
@callback
def async_state_changed_l... | Representation of an event group. | EventGroup | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventGroup:
"""Representation of an event group."""
def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None:
"""Initialize an event group."""
<|body_0|>
async def async_added_to_hass(self) -> None:
"""Register callbacks."""
<|b... | stack_v2_sparse_classes_36k_train_024095 | 5,729 | permissive | [
{
"docstring": "Initialize an event group.",
"name": "__init__",
"signature": "def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None"
},
{
"docstring": "Register callbacks.",
"name": "async_added_to_hass",
"signature": "async def async_added_to_hass(self) ->... | 3 | stack_v2_sparse_classes_30k_train_002734 | Implement the Python class `EventGroup` described below.
Class description:
Representation of an event group.
Method signatures and docstrings:
- def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None: Initialize an event group.
- async def async_added_to_hass(self) -> None: Register call... | Implement the Python class `EventGroup` described below.
Class description:
Representation of an event group.
Method signatures and docstrings:
- def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None: Initialize an event group.
- async def async_added_to_hass(self) -> None: Register call... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class EventGroup:
"""Representation of an event group."""
def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None:
"""Initialize an event group."""
<|body_0|>
async def async_added_to_hass(self) -> None:
"""Register callbacks."""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EventGroup:
"""Representation of an event group."""
def __init__(self, unique_id: str | None, name: str, entity_ids: list[str]) -> None:
"""Initialize an event group."""
self._entity_ids = entity_ids
self._attr_name = name
self._attr_extra_state_attributes = {ATTR_ENTITY_I... | the_stack_v2_python_sparse | homeassistant/components/group/event.py | home-assistant/core | train | 35,501 |
38ec1daf7d822c2cb3aa3b3a717ced0153c80ce1 | [
"webapp_user = args['webapp_user']\nship_info_id = (int(args['ship_id']),)\nnew_ship_info = {'ship_name': args['ship_name'], 'ship_address': args['ship_address'], 'ship_tel': args['ship_tel'], 'area': args['area']}\narea = args['area']\nif False in map(lambda x: x.isdigit(), area.split('_')):\n webapp_user_id = ... | <|body_start_0|>
webapp_user = args['webapp_user']
ship_info_id = (int(args['ship_id']),)
new_ship_info = {'ship_name': args['ship_name'], 'ship_address': args['ship_address'], 'ship_tel': args['ship_tel'], 'area': args['area']}
area = args['area']
if False in map(lambda x: x.isd... | 收货地址 | AShipInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AShipInfo:
"""收货地址"""
def post(args):
"""@brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}"""
<|body_0|>
def put(args):
"""新建收货地址 @param ship_name @param ship_address @param ship_tel @param area @r... | stack_v2_sparse_classes_36k_train_024096 | 2,372 | no_license | [
{
"docstring": "@brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}",
"name": "post",
"signature": "def post(args)"
},
{
"docstring": "新建收货地址 @param ship_name @param ship_address @param ship_tel @param area @return {'ship_info_id': ... | 3 | stack_v2_sparse_classes_30k_train_007201 | Implement the Python class `AShipInfo` described below.
Class description:
收货地址
Method signatures and docstrings:
- def post(args): @brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}
- def put(args): 新建收货地址 @param ship_name @param ship_address @param sh... | Implement the Python class `AShipInfo` described below.
Class description:
收货地址
Method signatures and docstrings:
- def post(args): @brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}
- def put(args): 新建收货地址 @param ship_name @param ship_address @param sh... | 15621db1a64ffe199619924b75a5b5c5e6416bed | <|skeleton|>
class AShipInfo:
"""收货地址"""
def post(args):
"""@brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}"""
<|body_0|>
def put(args):
"""新建收货地址 @param ship_name @param ship_address @param ship_tel @param area @r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AShipInfo:
"""收货地址"""
def post(args):
"""@brief 修改收货地址 @param ship_id @param ship_name @param ship_address @param ship_tel @param area @return {result:True}"""
webapp_user = args['webapp_user']
ship_info_id = (int(args['ship_id']),)
new_ship_info = {'ship_name': args['ship... | the_stack_v2_python_sparse | api/mall/a_ship_info.py | nuaays/apiserver | train | 0 |
e00a52feb2616c75c3683be3cd45c1011ca82899 | [
"facility_id = self.kwargs.get('fac_id')\nfac = Facility.objects.get(id=facility_id)\nif not check_permissions_from_request(request, fac, 'u'):\n return Response(status=status.HTTP_403_FORBIDDEN)\ncampus = self.get_object()\nif campus.org_id == fac.org_id:\n fac.campus_id = campus.id\n try:\n fac.sa... | <|body_start_0|>
facility_id = self.kwargs.get('fac_id')
fac = Facility.objects.get(id=facility_id)
if not check_permissions_from_request(request, fac, 'u'):
return Response(status=status.HTTP_403_FORBIDDEN)
campus = self.get_object()
if campus.org_id == fac.org_id:
... | Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id} | CampusFacilityMixin | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CampusFacilityMixin:
"""Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id}"""
def add_facility(self, request, *args, **kwargs):
"""Allows the org to approve a campus listin... | stack_v2_sparse_classes_36k_train_024097 | 40,361 | permissive | [
{
"docstring": "Allows the org to approve a campus listing at their facility",
"name": "add_facility",
"signature": "def add_facility(self, request, *args, **kwargs)"
},
{
"docstring": "Allows the org to reject a campus listing at their facility",
"name": "remove_facility",
"signature": ... | 2 | null | Implement the Python class `CampusFacilityMixin` described below.
Class description:
Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id}
Method signatures and docstrings:
- def add_facility(self, request, *a... | Implement the Python class `CampusFacilityMixin` described below.
Class description:
Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id}
Method signatures and docstrings:
- def add_facility(self, request, *a... | 3f62b2d97c78ccf151fb1a5761637e28463b9541 | <|skeleton|>
class CampusFacilityMixin:
"""Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id}"""
def add_facility(self, request, *args, **kwargs):
"""Allows the org to approve a campus listin... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CampusFacilityMixin:
"""Custom API endpoints for the campus-facility object, exposed to /api/campus/{campus_id}/add-facility/{fac_id} and /api/campus/{campus_id}/remove-facility/{fac_id}"""
def add_facility(self, request, *args, **kwargs):
"""Allows the org to approve a campus listing at their fa... | the_stack_v2_python_sparse | peeringdb_server/rest.py | peeringdb/peeringdb | train | 311 |
f71ff580b56f02436867c3d84c2827331c1d4396 | [
"super().__init__(input_dim, active_dims, name=name)\nself.v_b = gpflow.params.Parameter(v_b, transform=gpflow.transforms.positive)\nself.v_w = gpflow.params.Parameter(v_w, transform=gpflow.transforms.positive)\nself.depth = depth",
"if not presliced:\n X, X2 = self._slice(X, X2)\nif X2 is None:\n X2 = X\nK... | <|body_start_0|>
super().__init__(input_dim, active_dims, name=name)
self.v_b = gpflow.params.Parameter(v_b, transform=gpflow.transforms.positive)
self.v_w = gpflow.params.Parameter(v_w, transform=gpflow.transforms.positive)
self.depth = depth
<|end_body_0|>
<|body_start_1|>
if ... | Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation. | NNGP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NNGP:
"""Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation."""
def __init__(self, input_dim, active_dims=None, name=None, v_w=1.0, v_b=1.0, depth=1):
"""Initializes the NNGP kernel. Parameters -----... | stack_v2_sparse_classes_36k_train_024098 | 6,194 | no_license | [
{
"docstring": "Initializes the NNGP kernel. Parameters ---------- input_dim : int Dimension of the input space. active_dims : None, optional This argument is necessary for a GPFlow kernel. Only use the default value for now. name : None, optional This argument is necessary for a GPFlow kernel. Only use the def... | 3 | null | Implement the Python class `NNGP` described below.
Class description:
Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation.
Method signatures and docstrings:
- def __init__(self, input_dim, active_dims=None, name=None, v_w=1.0, v_b=1.0... | Implement the Python class `NNGP` described below.
Class description:
Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation.
Method signatures and docstrings:
- def __init__(self, input_dim, active_dims=None, name=None, v_w=1.0, v_b=1.0... | 9db3ab73f1812c5dea2f5ed4cdd4c2a72d52534f | <|skeleton|>
class NNGP:
"""Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation."""
def __init__(self, input_dim, active_dims=None, name=None, v_w=1.0, v_b=1.0, depth=1):
"""Initializes the NNGP kernel. Parameters -----... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NNGP:
"""Kernel of a fully connected NNGP. This class implements a GPFlow kernel that results from a deep NNGP architecture with relu activation."""
def __init__(self, input_dim, active_dims=None, name=None, v_w=1.0, v_b=1.0, depth=1):
"""Initializes the NNGP kernel. Parameters ---------- input_d... | the_stack_v2_python_sparse | final-dkl/my_dkl/kernels.py | dagrawa2/ece692_deep_learning | train | 0 |
3e5f1255c2276781a1a4f553bef9fa53919a388e | [
"s, e, i, r = xs\nif isinstance(parameters, Parameters):\n beta = parameters['beta'].value\n gamma = parameters['gamma'].value\n sigma = parameters['sigma'].value\n N = parameters['N'].value\nelif isinstance(parameters, tuple):\n beta, gamma, sigma, N = parameters\nelse:\n raise ValueError('Cannot... | <|body_start_0|>
s, e, i, r = xs
if isinstance(parameters, Parameters):
beta = parameters['beta'].value
gamma = parameters['gamma'].value
sigma = parameters['sigma'].value
N = parameters['N'].value
elif isinstance(parameters, tuple):
be... | SEIR Model | SEIR | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SEIR:
"""SEIR Model"""
def calibrate(cls, xs: tuple, t: float, parameters: Union[Parameters, tuple]) -> tuple:
"""SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfected, [R]emoved :param t: time parameter, inactive for thi... | stack_v2_sparse_classes_36k_train_024099 | 29,649 | permissive | [
{
"docstring": "SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfected, [R]emoved :param t: time parameter, inactive for this model :param parameters: parameters of the model (not including initial conditions), i.e. beta, gamma, sigma, N :return: tup... | 2 | null | Implement the Python class `SEIR` described below.
Class description:
SEIR Model
Method signatures and docstrings:
- def calibrate(cls, xs: tuple, t: float, parameters: Union[Parameters, tuple]) -> tuple: SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfec... | Implement the Python class `SEIR` described below.
Class description:
SEIR Model
Method signatures and docstrings:
- def calibrate(cls, xs: tuple, t: float, parameters: Union[Parameters, tuple]) -> tuple: SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfec... | 4cf8ec75c4d85b16ec08371c46cc1a9ede9d72a2 | <|skeleton|>
class SEIR:
"""SEIR Model"""
def calibrate(cls, xs: tuple, t: float, parameters: Union[Parameters, tuple]) -> tuple:
"""SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfected, [R]emoved :param t: time parameter, inactive for thi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SEIR:
"""SEIR Model"""
def calibrate(cls, xs: tuple, t: float, parameters: Union[Parameters, tuple]) -> tuple:
"""SEIR model derivatives at t. :param xs: variables that we are solving for, i.e. [S]usceptible, [E]xposed, [I]nfected, [R]emoved :param t: time parameter, inactive for this model :para... | the_stack_v2_python_sparse | gs_quant/models/epidemiology.py | goldmansachs/gs-quant | train | 2,088 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.