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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
85eabc921a215db7dcf82dc69f0cd928cc1f43f7 | [
"if not asnode:\n self.translate_coding_to_rule(rule)\nelse:\n self.rule = rule\n self.human_read = self.rule.visit_easy_read()\n self.polish_notation = self.rule.visit_with_polish_notation()\n self.coding = self.rule.visit_make_coding()\n self.find_needed_premises()\n self.find_conclusions()",... | <|body_start_0|>
if not asnode:
self.translate_coding_to_rule(rule)
else:
self.rule = rule
self.human_read = self.rule.visit_easy_read()
self.polish_notation = self.rule.visit_with_polish_notation()
self.coding = self.rule.visit_make_coding()
... | This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the Rule and an easily human readable representation of the rule. | Rule | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rule:
"""This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the Rule and an easily human readable repre... | stack_v2_sparse_classes_36k_train_020500 | 3,168 | permissive | [
{
"docstring": ":param rule: the rule :param asnode: change it to false if you are only passing a lib which should be transformed to a rule. This constructor takes either a Node which represents the starting node of a rule and fills in all other needed information. Or an coding which represents a rule in its bi... | 5 | stack_v2_sparse_classes_30k_train_003406 | Implement the Python class `Rule` described below.
Class description:
This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the ... | Implement the Python class `Rule` described below.
Class description:
This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the ... | ac73fb60387aad37d3b3fb823f9b2c205c6cb458 | <|skeleton|>
class Rule:
"""This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the Rule and an easily human readable repre... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Rule:
"""This class represents a Rule for the rule approach. It has its Coding which is a string of its binary coding, a node named rule which is the starting node of the rule in its tree representation, a string representation of the polish notation of the Rule and an easily human readable representation of ... | the_stack_v2_python_sparse | relational/student_projects/2019_guth/models/Rule_Genetic/Rule.py | CognitiveComputationLab/cogmods | train | 1 |
42498c95b1dec89ab6f33ea3ae550e0851733877 | [
"self.counter = 0\nself.frequency = spawning_frequency\nself.mix_and_match = mix_and_match\nself.prebuilts = prebuilt_vehicle_probs\nself.drivers = driver_template_probs\nself.vehicles = vehicle_template_probs",
"self.counter += time_since_last_prompt\nif self.counter >= self.frequency:\n self.counter = 0\n ... | <|body_start_0|>
self.counter = 0
self.frequency = spawning_frequency
self.mix_and_match = mix_and_match
self.prebuilts = prebuilt_vehicle_probs
self.drivers = driver_template_probs
self.vehicles = vehicle_template_probs
<|end_body_0|>
<|body_start_1|>
self.count... | TemplatePairFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TemplatePairFactory:
def __init__(self, spawning_frequency, prebuilt_vehicle_probs, mix_and_match=False, driver_template_probs=None, vehicle_template_probs=None):
"""A TemplatePairFactory behaves in one of two ways. If the parameter mix_and_match is False, a VehicleTemplate-DriverTemplat... | stack_v2_sparse_classes_36k_train_020501 | 3,503 | permissive | [
{
"docstring": "A TemplatePairFactory behaves in one of two ways. If the parameter mix_and_match is False, a VehicleTemplate-DriverTemplate pair are returned according to the prebuilt probabilities. If mix_and_match is true, the VehicleTemplate-DriverTemplate pair are selected independantly from the driver_temp... | 2 | null | Implement the Python class `TemplatePairFactory` described below.
Class description:
Implement the TemplatePairFactory class.
Method signatures and docstrings:
- def __init__(self, spawning_frequency, prebuilt_vehicle_probs, mix_and_match=False, driver_template_probs=None, vehicle_template_probs=None): A TemplatePair... | Implement the Python class `TemplatePairFactory` described below.
Class description:
Implement the TemplatePairFactory class.
Method signatures and docstrings:
- def __init__(self, spawning_frequency, prebuilt_vehicle_probs, mix_and_match=False, driver_template_probs=None, vehicle_template_probs=None): A TemplatePair... | 69ba3bfddc8b8772b80a99fb7bb6b4367b417e5d | <|skeleton|>
class TemplatePairFactory:
def __init__(self, spawning_frequency, prebuilt_vehicle_probs, mix_and_match=False, driver_template_probs=None, vehicle_template_probs=None):
"""A TemplatePairFactory behaves in one of two ways. If the parameter mix_and_match is False, a VehicleTemplate-DriverTemplat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TemplatePairFactory:
def __init__(self, spawning_frequency, prebuilt_vehicle_probs, mix_and_match=False, driver_template_probs=None, vehicle_template_probs=None):
"""A TemplatePairFactory behaves in one of two ways. If the parameter mix_and_match is False, a VehicleTemplate-DriverTemplate pair are ret... | the_stack_v2_python_sparse | src/TemplatePairFactory.py | DLance96/TrafficSim-Simulator | train | 0 | |
5038b39d3a7c5014b278e4900f24bb3ba935fcef | [
"graph = Graph()\nself.assertEqual({}, graph.getListNode())\nself.assertEqual([], graph.getListEdge())",
"graph = Graph()\nnodeA = Node(1, 5, 10)\nnodeB = Node(2, 6, 8)\nlistNode = {}\nlistNode[nodeA.getId()] = nodeA\nlistNode[nodeB.getId()] = nodeB\ngraph.setListNode(listNode)\nself.assertIs(listNode, graph.getL... | <|body_start_0|>
graph = Graph()
self.assertEqual({}, graph.getListNode())
self.assertEqual([], graph.getListEdge())
<|end_body_0|>
<|body_start_1|>
graph = Graph()
nodeA = Node(1, 5, 10)
nodeB = Node(2, 6, 8)
listNode = {}
listNode[nodeA.getId()] = nodeA... | Test case utilisé pour tester les fonctions de la classe 'Graph'. | testNode | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class testNode:
"""Test case utilisé pour tester les fonctions de la classe 'Graph'."""
def test_init(self):
"""Test du __init__"""
<|body_0|>
def test_setListNode(self):
"""Test le fonctionnement de la fonction setListNode()"""
<|body_1|>
def test_setList... | stack_v2_sparse_classes_36k_train_020502 | 1,396 | no_license | [
{
"docstring": "Test du __init__",
"name": "test_init",
"signature": "def test_init(self)"
},
{
"docstring": "Test le fonctionnement de la fonction setListNode()",
"name": "test_setListNode",
"signature": "def test_setListNode(self)"
},
{
"docstring": "Test le fonctionnement de l... | 3 | stack_v2_sparse_classes_30k_train_014213 | Implement the Python class `testNode` described below.
Class description:
Test case utilisé pour tester les fonctions de la classe 'Graph'.
Method signatures and docstrings:
- def test_init(self): Test du __init__
- def test_setListNode(self): Test le fonctionnement de la fonction setListNode()
- def test_setListEdge... | Implement the Python class `testNode` described below.
Class description:
Test case utilisé pour tester les fonctions de la classe 'Graph'.
Method signatures and docstrings:
- def test_init(self): Test du __init__
- def test_setListNode(self): Test le fonctionnement de la fonction setListNode()
- def test_setListEdge... | b93ae4c114add1fa2a49f23276ea31ee895ce66c | <|skeleton|>
class testNode:
"""Test case utilisé pour tester les fonctions de la classe 'Graph'."""
def test_init(self):
"""Test du __init__"""
<|body_0|>
def test_setListNode(self):
"""Test le fonctionnement de la fonction setListNode()"""
<|body_1|>
def test_setList... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class testNode:
"""Test case utilisé pour tester les fonctions de la classe 'Graph'."""
def test_init(self):
"""Test du __init__"""
graph = Graph()
self.assertEqual({}, graph.getListNode())
self.assertEqual([], graph.getListEdge())
def test_setListNode(self):
"""Tes... | the_stack_v2_python_sparse | model/testGraph.py | dimespi/graphanalysis | train | 0 |
8c2bdcc730c42e5f73c9f5222de72053c930b45f | [
"p = head\nfor i in range(k - 1):\n if p:\n p = p.next\nrhead = p\nif not rhead:\n return head\np1 = head\np2 = rhead.next\ntail = head\nprev = None\ni = 1\nwhile p1:\n tmp = p1.next\n p1.next = prev\n prev = p1\n if i % k == 0:\n if p2:\n tail.next = p2\n tail ... | <|body_start_0|>
p = head
for i in range(k - 1):
if p:
p = p.next
rhead = p
if not rhead:
return head
p1 = head
p2 = rhead.next
tail = head
prev = None
i = 1
while p1:
tmp = p1.next
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode:
"""Double pointer."""
<|body_0|>
def reverseKGroup_v2(self, head: ListNode, k: int) -> ListNode:
"""Double pointer."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
p = head
... | stack_v2_sparse_classes_36k_train_020503 | 3,369 | no_license | [
{
"docstring": "Double pointer.",
"name": "reverseKGroup_v1",
"signature": "def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode"
},
{
"docstring": "Double pointer.",
"name": "reverseKGroup_v2",
"signature": "def reverseKGroup_v2(self, head: ListNode, k: int) -> ListNode"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode: Double pointer.
- def reverseKGroup_v2(self, head: ListNode, k: int) -> ListNode: Double pointer. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode: Double pointer.
- def reverseKGroup_v2(self, head: ListNode, k: int) -> ListNode: Double pointer.
<|skeleton|>
cl... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode:
"""Double pointer."""
<|body_0|>
def reverseKGroup_v2(self, head: ListNode, k: int) -> ListNode:
"""Double pointer."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseKGroup_v1(self, head: ListNode, k: int) -> ListNode:
"""Double pointer."""
p = head
for i in range(k - 1):
if p:
p = p.next
rhead = p
if not rhead:
return head
p1 = head
p2 = rhead.next
... | the_stack_v2_python_sparse | python3/linked_list/reverse_k_group.py | victorchu/algorithms | train | 0 | |
ec0d731ec57d62298d405bd47cbafb254d86bc27 | [
"hr('StreamHandler')\nself._run_streamhandler_example()\nhr('FileHandler')\nself._run_filehandler_example()",
"logdir = pathlib.Path(tempfile.gettempdir())\nlogfile = logdir / 'logging05.log'\nhandler = logging.FileHandler(logfile, mode='w', encoding='utf-8')\nlogger = logging.getLogger('filehandler1')\nlogger.ad... | <|body_start_0|>
hr('StreamHandler')
self._run_streamhandler_example()
hr('FileHandler')
self._run_filehandler_example()
<|end_body_0|>
<|body_start_1|>
logdir = pathlib.Path(tempfile.gettempdir())
logfile = logdir / 'logging05.log'
handler = logging.FileHandler(... | サンプルクラス | Sample | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sample:
"""サンプルクラス"""
def exec(self):
"""サンプル処理を実行します"""
<|body_0|>
def _run_filehandler_example(self):
"""logging.FileHandler のサンプル"""
<|body_1|>
def _run_streamhandler_example(self):
"""logging.StreamHandler のサンプル"""
<|body_2|>
<|e... | stack_v2_sparse_classes_36k_train_020504 | 5,131 | permissive | [
{
"docstring": "サンプル処理を実行します",
"name": "exec",
"signature": "def exec(self)"
},
{
"docstring": "logging.FileHandler のサンプル",
"name": "_run_filehandler_example",
"signature": "def _run_filehandler_example(self)"
},
{
"docstring": "logging.StreamHandler のサンプル",
"name": "_run_str... | 3 | stack_v2_sparse_classes_30k_train_007254 | Implement the Python class `Sample` described below.
Class description:
サンプルクラス
Method signatures and docstrings:
- def exec(self): サンプル処理を実行します
- def _run_filehandler_example(self): logging.FileHandler のサンプル
- def _run_streamhandler_example(self): logging.StreamHandler のサンプル | Implement the Python class `Sample` described below.
Class description:
サンプルクラス
Method signatures and docstrings:
- def exec(self): サンプル処理を実行します
- def _run_filehandler_example(self): logging.FileHandler のサンプル
- def _run_streamhandler_example(self): logging.StreamHandler のサンプル
<|skeleton|>
class Sample:
"""サンプルクラ... | 8f0e9997012c7ef5a4f71c15c98ea2832424136d | <|skeleton|>
class Sample:
"""サンプルクラス"""
def exec(self):
"""サンプル処理を実行します"""
<|body_0|>
def _run_filehandler_example(self):
"""logging.FileHandler のサンプル"""
<|body_1|>
def _run_streamhandler_example(self):
"""logging.StreamHandler のサンプル"""
<|body_2|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Sample:
"""サンプルクラス"""
def exec(self):
"""サンプル処理を実行します"""
hr('StreamHandler')
self._run_streamhandler_example()
hr('FileHandler')
self._run_filehandler_example()
def _run_filehandler_example(self):
"""logging.FileHandler のサンプル"""
logdir = pathli... | the_stack_v2_python_sparse | trypython/stdlib/logging_/logging05.py | devlights/try-python | train | 6 |
260e45f19db618492bef6e83aeeb9fb20d9762b2 | [
"url = 'https://api.maocode.cn/tiger/accounts/logout'\nres = requests.post(url=url, headers=self.headers)\nself.assertEquals(res.status_code, 204)",
"headers = self.headers.copy()\nheaders['authorization'] = ''\nurl = 'https://api.maocode.cn/tiger/accounts/logout'\nres = requests.post(url=url, headers=headers)\ns... | <|body_start_0|>
url = 'https://api.maocode.cn/tiger/accounts/logout'
res = requests.post(url=url, headers=self.headers)
self.assertEquals(res.status_code, 204)
<|end_body_0|>
<|body_start_1|>
headers = self.headers.copy()
headers['authorization'] = ''
url = 'https://api... | 退出登录接口 | Logout | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logout:
"""退出登录接口"""
def test_26_logout(self):
"""登录态正常--退出登录操作"""
<|body_0|>
def test_27_logout(self):
"""登录态失效--退出登录操作"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
url = 'https://api.maocode.cn/tiger/accounts/logout'
res = requests.... | stack_v2_sparse_classes_36k_train_020505 | 1,174 | no_license | [
{
"docstring": "登录态正常--退出登录操作",
"name": "test_26_logout",
"signature": "def test_26_logout(self)"
},
{
"docstring": "登录态失效--退出登录操作",
"name": "test_27_logout",
"signature": "def test_27_logout(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016219 | Implement the Python class `Logout` described below.
Class description:
退出登录接口
Method signatures and docstrings:
- def test_26_logout(self): 登录态正常--退出登录操作
- def test_27_logout(self): 登录态失效--退出登录操作 | Implement the Python class `Logout` described below.
Class description:
退出登录接口
Method signatures and docstrings:
- def test_26_logout(self): 登录态正常--退出登录操作
- def test_27_logout(self): 登录态失效--退出登录操作
<|skeleton|>
class Logout:
"""退出登录接口"""
def test_26_logout(self):
"""登录态正常--退出登录操作"""
<|body_0|... | e75039fcd2361977a2a5dc7ea95b7fb2fbc96bb0 | <|skeleton|>
class Logout:
"""退出登录接口"""
def test_26_logout(self):
"""登录态正常--退出登录操作"""
<|body_0|>
def test_27_logout(self):
"""登录态失效--退出登录操作"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Logout:
"""退出登录接口"""
def test_26_logout(self):
"""登录态正常--退出登录操作"""
url = 'https://api.maocode.cn/tiger/accounts/logout'
res = requests.post(url=url, headers=self.headers)
self.assertEquals(res.status_code, 204)
def test_27_logout(self):
"""登录态失效--退出登录操作"""
... | the_stack_v2_python_sparse | API_study/Wood/H_Logout.py | JmeterChen/api_wood | train | 1 |
4019039f663f17ee6c87ade74a3205524bdfe54f | [
"combinations = []\nself.subroutine(n, 0, 0, '', combinations)\nreturn combinations",
"if num_open == n and num_close == n:\n combinations.append(string)\nif num_open < n:\n self.subroutine(n, num_open + 1, num_close, string + '(', combinations)\nif num_close < num_open:\n self.subroutine(n, num_open, nu... | <|body_start_0|>
combinations = []
self.subroutine(n, 0, 0, '', combinations)
return combinations
<|end_body_0|>
<|body_start_1|>
if num_open == n and num_close == n:
combinations.append(string)
if num_open < n:
self.subroutine(n, num_open + 1, num_close,... | Leet22 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Leet22:
def generate_parenthesis(self, n):
"""Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses."""
<|body_0|>
def subroutine(self, n, num_open, num_close, string, combinations):
"""Gener... | stack_v2_sparse_classes_36k_train_020506 | 1,779 | no_license | [
{
"docstring": "Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses.",
"name": "generate_parenthesis",
"signature": "def generate_parenthesis(self, n)"
},
{
"docstring": "Generate all combinations of well-formed parent... | 2 | stack_v2_sparse_classes_30k_train_019194 | Implement the Python class `Leet22` described below.
Class description:
Implement the Leet22 class.
Method signatures and docstrings:
- def generate_parenthesis(self, n): Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses.
- def subroutine... | Implement the Python class `Leet22` described below.
Class description:
Implement the Leet22 class.
Method signatures and docstrings:
- def generate_parenthesis(self, n): Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses.
- def subroutine... | b0cfcfa1eff0101cf8e0e3fb9db55fb83f566f6f | <|skeleton|>
class Leet22:
def generate_parenthesis(self, n):
"""Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses."""
<|body_0|>
def subroutine(self, n, num_open, num_close, string, combinations):
"""Gener... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Leet22:
def generate_parenthesis(self, n):
"""Generate all combinations of well-formed parentheses. Args: n -- An integer. Returns: All combinations of well-formed parentheses."""
combinations = []
self.subroutine(n, 0, 0, '', combinations)
return combinations
def subrouti... | the_stack_v2_python_sparse | archive/algorithms-leetcode/leet22.py | riehseun/software-engineering | train | 0 | |
f0d84f8bd3334c01e032974b70b19aa3fc15485f | [
"self.files_downloaded = 0\nself.files_processed = 0\nself.exception_count = 0\nself.now = time_utils.get_utc_now()\nself.grib_processor = GribFileProcessor(station_source)\nself.model_type: ModelEnum = model_type\nif self.model_type == ModelEnum.GDPS:\n self.projection = ProjectionEnum.LATLON_15X_15\nelif self.... | <|body_start_0|>
self.files_downloaded = 0
self.files_processed = 0
self.exception_count = 0
self.now = time_utils.get_utc_now()
self.grib_processor = GribFileProcessor(station_source)
self.model_type: ModelEnum = model_type
if self.model_type == ModelEnum.GDPS:
... | Class that orchestrates downloading and processing of weather model grib files from environment Canada. | EnvCanada | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnvCanada:
"""Class that orchestrates downloading and processing of weather model grib files from environment Canada."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
<|body_0|>
def proces... | stack_v2_sparse_classes_36k_train_020507 | 17,429 | permissive | [
{
"docstring": "Prep variables",
"name": "__init__",
"signature": "def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED)"
},
{
"docstring": "Process the urls for a model run.",
"name": "process_model_run_urls",
"signature": "def proces... | 4 | stack_v2_sparse_classes_30k_val_000100 | Implement the Python class `EnvCanada` described below.
Class description:
Class that orchestrates downloading and processing of weather model grib files from environment Canada.
Method signatures and docstrings:
- def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFI... | Implement the Python class `EnvCanada` described below.
Class description:
Class that orchestrates downloading and processing of weather model grib files from environment Canada.
Method signatures and docstrings:
- def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFI... | 0ba707b0eddc280240964efa481988df92046e6a | <|skeleton|>
class EnvCanada:
"""Class that orchestrates downloading and processing of weather model grib files from environment Canada."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
<|body_0|>
def proces... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EnvCanada:
"""Class that orchestrates downloading and processing of weather model grib files from environment Canada."""
def __init__(self, model_type: ModelEnum, station_source: StationSourceEnum=StationSourceEnum.UNSPECIFIED):
"""Prep variables"""
self.files_downloaded = 0
self.... | the_stack_v2_python_sparse | api/app/jobs/env_canada.py | bcgov/wps | train | 35 |
71a8b055abd65a0d53fb913f89b3efc45a7db7bc | [
"l = len(arr)\npos = bisect.bisect_left(arr, x)\nif pos > 0:\n start = pos - 1\nelse:\n start = 0\nend = start + 1\nwhile k > 0:\n print(start, end)\n if end == l or (start >= 0 and x - arr[start] <= arr[end] - x):\n start -= 1\n else:\n end += 1\n k -= 1\nresult = [arr[i] for i in r... | <|body_start_0|>
l = len(arr)
pos = bisect.bisect_left(arr, x)
if pos > 0:
start = pos - 1
else:
start = 0
end = start + 1
while k > 0:
print(start, end)
if end == l or (start >= 0 and x - arr[start] <= arr[end] - x):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findClosestElements(self, arr, k, x):
""":type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms"""
<|body_0|>
def findClosestElements(self, arr, k, x):
""":type arr: List[int] :type k: int :type x: int :rtype: List[int] 218ms"""
... | stack_v2_sparse_classes_36k_train_020508 | 2,702 | no_license | [
{
"docstring": ":type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms",
"name": "findClosestElements",
"signature": "def findClosestElements(self, arr, k, x)"
},
{
"docstring": ":type arr: List[int] :type k: int :type x: int :rtype: List[int] 218ms",
"name": "findClosestElem... | 3 | stack_v2_sparse_classes_30k_train_015910 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findClosestElements(self, arr, k, x): :type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms
- def findClosestElements(self, arr, k, x): :type arr: List[int] ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findClosestElements(self, arr, k, x): :type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms
- def findClosestElements(self, arr, k, x): :type arr: List[int] ... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def findClosestElements(self, arr, k, x):
""":type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms"""
<|body_0|>
def findClosestElements(self, arr, k, x):
""":type arr: List[int] :type k: int :type x: int :rtype: List[int] 218ms"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findClosestElements(self, arr, k, x):
""":type arr: List[int] :type k: int :type x: int :rtype: List[int] 245ms"""
l = len(arr)
pos = bisect.bisect_left(arr, x)
if pos > 0:
start = pos - 1
else:
start = 0
end = start + 1
... | the_stack_v2_python_sparse | FindKClosestElements_MID_658.py | 953250587/leetcode-python | train | 2 | |
367f71aaf0b86cbf74c93b962f312eb0a9aced72 | [
"last = next = 0\nmax_len = len(nums) - 1\nwhile next < max_len:\n last, next = (next, max((i + nums[i] for i in range(last, next + 1))))\n if last == next:\n return False\nreturn True",
"steps = 1\nfor v in nums[:-1]:\n steps -= 1\n if v == steps == 0:\n return False\n steps = max(st... | <|body_start_0|>
last = next = 0
max_len = len(nums) - 1
while next < max_len:
last, next = (next, max((i + nums[i] for i in range(last, next + 1))))
if last == next:
return False
return True
<|end_body_0|>
<|body_start_1|>
steps = 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canJump(self, nums):
"""当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool"""
<|body_0|>
def canJump2(self, nums):
"""只需要判断能否到达 每次记录当前能到达的最远距离 如果之前的最远距离为0（即到达当前位置）且当前位置也为0，则失败"""
<|body_1|>
<|end_skeleton|>
<|body_start... | stack_v2_sparse_classes_36k_train_020509 | 1,048 | no_license | [
{
"docstring": "当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool",
"name": "canJump",
"signature": "def canJump(self, nums)"
},
{
"docstring": "只需要判断能否到达 每次记录当前能到达的最远距离 如果之前的最远距离为0（即到达当前位置）且当前位置也为0，则失败",
"name": "canJump2",
"signature": "def canJump2(self, nums)... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump(self, nums): 当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool
- def canJump2(self, nums): 只需要判断能否到达 每次记录当前能到达的最远距离 如果之前的最远距离为0（即到达当前位置）且当前位置... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump(self, nums): 当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool
- def canJump2(self, nums): 只需要判断能否到达 每次记录当前能到达的最远距离 如果之前的最远距离为0（即到达当前位置）且当前位置... | 86352d3f51ab030afdb7b472a80bc8cab7260c08 | <|skeleton|>
class Solution:
def canJump(self, nums):
"""当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool"""
<|body_0|>
def canJump2(self, nums):
"""只需要判断能否到达 每次记录当前能到达的最远距离 如果之前的最远距离为0（即到达当前位置）且当前位置也为0，则失败"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def canJump(self, nums):
"""当前索引表示最大的跳数，求到达终点的最小跳数 每一次挑选下一步能调的最远的地方 :type nums: List[int] :rtype: bool"""
last = next = 0
max_len = len(nums) - 1
while next < max_len:
last, next = (next, max((i + nums[i] for i in range(last, next + 1))))
if la... | the_stack_v2_python_sparse | leetcode/_055_JumpGame.py | scolphew/leetcode_python | train | 0 | |
81c9908a1b9e51c7b1957e14eb1d69890a472ac0 | [
"try:\n self.acl.get(user=None, permission_read=True)\n return True\nexcept ObjectDoesNotExist:\n return False",
"if not self.can_write(user):\n return\ntry:\n ace = self.acl.get(user=None)\n if not ace.permission_read:\n ace.permission_read = True\n ace.save()\nexcept ObjectDoesNo... | <|body_start_0|>
try:
self.acl.get(user=None, permission_read=True)
return True
except ObjectDoesNotExist:
return False
<|end_body_0|>
<|body_start_1|>
if not self.can_write(user):
return
try:
ace = self.acl.get(user=None)
... | MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system. | AccessControlMixIn | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccessControlMixIn:
"""MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system."""
def is_public(self):
"""Determine if the ACL is open to everyone for the specific object. Returns: Boolean value to indicate if... | stack_v2_sparse_classes_36k_train_020510 | 5,589 | permissive | [
{
"docstring": "Determine if the ACL is open to everyone for the specific object. Returns: Boolean value to indicate if the object is readable by everyone.",
"name": "is_public",
"signature": "def is_public(self)"
},
{
"docstring": "Make object public. Args: user. user object (instance of django... | 6 | stack_v2_sparse_classes_30k_train_000423 | Implement the Python class `AccessControlMixIn` described below.
Class description:
MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system.
Method signatures and docstrings:
- def is_public(self): Determine if the ACL is open to everyone for t... | Implement the Python class `AccessControlMixIn` described below.
Class description:
MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system.
Method signatures and docstrings:
- def is_public(self): Determine if the ACL is open to everyone for t... | ce692b42cb4cfbc999df631852c5c72d13c19561 | <|skeleton|>
class AccessControlMixIn:
"""MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system."""
def is_public(self):
"""Determine if the ACL is open to everyone for the specific object. Returns: Boolean value to indicate if... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AccessControlMixIn:
"""MixIn for classes with generic relationship with AccessControlEntry. Common functions to manipulate and use the permission system."""
def is_public(self):
"""Determine if the ACL is open to everyone for the specific object. Returns: Boolean value to indicate if the object i... | the_stack_v2_python_sparse | timesketch/apps/acl/models.py | pombredanne/timesketch | train | 0 |
2ae78819a125a52db6285e04519dd5ca79b853f5 | [
"dom = minidom.parseString(string)\nsecurity_group_rule = self._extract_security_group_rule(dom)\nreturn {'body': {'security_group_rule': security_group_rule}}",
"sg_rule = {}\nsg_rule_node = self.find_first_child_named(node, 'security_group_rule')\nif sg_rule_node is not None:\n ip_protocol_node = self.find_f... | <|body_start_0|>
dom = minidom.parseString(string)
security_group_rule = self._extract_security_group_rule(dom)
return {'body': {'security_group_rule': security_group_rule}}
<|end_body_0|>
<|body_start_1|>
sg_rule = {}
sg_rule_node = self.find_first_child_named(node, 'security_g... | Deserializer to handle xml-formatted security group requests. | SecurityGroupRulesXMLDeserializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SecurityGroupRulesXMLDeserializer:
"""Deserializer to handle xml-formatted security group requests."""
def create(self, string):
"""Deserialize an xml-formatted security group create request"""
<|body_0|>
def _extract_security_group_rule(self, node):
"""Marshal t... | stack_v2_sparse_classes_36k_train_020511 | 22,481 | permissive | [
{
"docstring": "Deserialize an xml-formatted security group create request",
"name": "create",
"signature": "def create(self, string)"
},
{
"docstring": "Marshal the security group rule attribute of a parsed request",
"name": "_extract_security_group_rule",
"signature": "def _extract_sec... | 2 | stack_v2_sparse_classes_30k_val_000821 | Implement the Python class `SecurityGroupRulesXMLDeserializer` described below.
Class description:
Deserializer to handle xml-formatted security group requests.
Method signatures and docstrings:
- def create(self, string): Deserialize an xml-formatted security group create request
- def _extract_security_group_rule(s... | Implement the Python class `SecurityGroupRulesXMLDeserializer` described below.
Class description:
Deserializer to handle xml-formatted security group requests.
Method signatures and docstrings:
- def create(self, string): Deserialize an xml-formatted security group create request
- def _extract_security_group_rule(s... | 1a3d7575d4b341f64fa1764ed47e47a7504a9bcc | <|skeleton|>
class SecurityGroupRulesXMLDeserializer:
"""Deserializer to handle xml-formatted security group requests."""
def create(self, string):
"""Deserialize an xml-formatted security group create request"""
<|body_0|>
def _extract_security_group_rule(self, node):
"""Marshal t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SecurityGroupRulesXMLDeserializer:
"""Deserializer to handle xml-formatted security group requests."""
def create(self, string):
"""Deserialize an xml-formatted security group create request"""
dom = minidom.parseString(string)
security_group_rule = self._extract_security_group_ru... | the_stack_v2_python_sparse | stack/nova/nova/api/openstack/contrib/security_groups.py | ashokcse/openstack-bill | train | 5 |
922c051951c2b0c935488685dff8d0a3c0e28648 | [
"dict_ = cls._numbers\nif len(number) <= 2 and dict_.get(int(number)):\n string = dict_.get(int(number))\nelif int(number) < 40 and number[1] == '0':\n string = f'{dict_.get(int(number[0]))}дцать'\nelif int(number) < 40 and number[1] != '0':\n string = f'{dict_.get(int(number[0]))}дцать {dict_.get(int(numb... | <|body_start_0|>
dict_ = cls._numbers
if len(number) <= 2 and dict_.get(int(number)):
string = dict_.get(int(number))
elif int(number) < 40 and number[1] == '0':
string = f'{dict_.get(int(number[0]))}дцать'
elif int(number) < 40 and number[1] != '0':
s... | RepresentNumberFrom_1_To_99 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RepresentNumberFrom_1_To_99:
def str(cls, number):
"""Return number in words for number in appropriate range"""
<|body_0|>
def update_list_of_functionality(cls):
"""Add method str to the list of functionality and propagate invokation of the method to the child class"... | stack_v2_sparse_classes_36k_train_020512 | 9,968 | no_license | [
{
"docstring": "Return number in words for number in appropriate range",
"name": "str",
"signature": "def str(cls, number)"
},
{
"docstring": "Add method str to the list of functionality and propagate invokation of the method to the child class",
"name": "update_list_of_functionality",
"... | 2 | stack_v2_sparse_classes_30k_train_011687 | Implement the Python class `RepresentNumberFrom_1_To_99` described below.
Class description:
Implement the RepresentNumberFrom_1_To_99 class.
Method signatures and docstrings:
- def str(cls, number): Return number in words for number in appropriate range
- def update_list_of_functionality(cls): Add method str to the ... | Implement the Python class `RepresentNumberFrom_1_To_99` described below.
Class description:
Implement the RepresentNumberFrom_1_To_99 class.
Method signatures and docstrings:
- def str(cls, number): Return number in words for number in appropriate range
- def update_list_of_functionality(cls): Add method str to the ... | 5992788fdf1f38272f0ff31ae9ebf944774d6894 | <|skeleton|>
class RepresentNumberFrom_1_To_99:
def str(cls, number):
"""Return number in words for number in appropriate range"""
<|body_0|>
def update_list_of_functionality(cls):
"""Add method str to the list of functionality and propagate invokation of the method to the child class"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RepresentNumberFrom_1_To_99:
def str(cls, number):
"""Return number in words for number in appropriate range"""
dict_ = cls._numbers
if len(number) <= 2 and dict_.get(int(number)):
string = dict_.get(int(number))
elif int(number) < 40 and number[1] == '0':
... | the_stack_v2_python_sparse | task5.py | AntonAmu/Dp-207-python_Anton | train | 0 | |
861168420e282f74628ff391f8e2c18636782e95 | [
"assert not np.isinf(domain[1])\nself.x_pts, self.dx = get_asymmetric_interval_points(domain, max_nof_coefficients, interval_type=interval_type, get_spacing=True, **kwargs)\ntry:\n self.ignore_zeros = kwargs['ignore_zeros']\nexcept KeyError:\n self.ignore_zeros = False\nself.J = J\nself.interval_type = interv... | <|body_start_0|>
assert not np.isinf(domain[1])
self.x_pts, self.dx = get_asymmetric_interval_points(domain, max_nof_coefficients, interval_type=interval_type, get_spacing=True, **kwargs)
try:
self.ignore_zeros = kwargs['ignore_zeros']
except KeyError:
self.ignore... | TrapzDiscretizedAsymmetricBath | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TrapzDiscretizedAsymmetricBath:
def __init__(self, J, domain, max_nof_coefficients=100, interval_type='lin', **kwargs):
"""Generates direct discretization coefficients from a spectral density J, by computing the integrals: gamma_i = sqrt(int_i^i+1 J(x) dx) xi_i = int_i^i+1 J(x) * x dx/ g... | stack_v2_sparse_classes_36k_train_020513 | 3,530 | permissive | [
{
"docstring": "Generates direct discretization coefficients from a spectral density J, by computing the integrals: gamma_i = sqrt(int_i^i+1 J(x) dx) xi_i = int_i^i+1 J(x) * x dx/ gamma_i^2 :param J: Spectral density. A function defined on 'domain', must be >0 in the inner part of domain :param domain: List/tup... | 2 | stack_v2_sparse_classes_30k_val_000535 | Implement the Python class `TrapzDiscretizedAsymmetricBath` described below.
Class description:
Implement the TrapzDiscretizedAsymmetricBath class.
Method signatures and docstrings:
- def __init__(self, J, domain, max_nof_coefficients=100, interval_type='lin', **kwargs): Generates direct discretization coefficients f... | Implement the Python class `TrapzDiscretizedAsymmetricBath` described below.
Class description:
Implement the TrapzDiscretizedAsymmetricBath class.
Method signatures and docstrings:
- def __init__(self, J, domain, max_nof_coefficients=100, interval_type='lin', **kwargs): Generates direct discretization coefficients f... | daf37f522f8acb6af2285d44f39cab31f34b01a4 | <|skeleton|>
class TrapzDiscretizedAsymmetricBath:
def __init__(self, J, domain, max_nof_coefficients=100, interval_type='lin', **kwargs):
"""Generates direct discretization coefficients from a spectral density J, by computing the integrals: gamma_i = sqrt(int_i^i+1 J(x) dx) xi_i = int_i^i+1 J(x) * x dx/ g... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TrapzDiscretizedAsymmetricBath:
def __init__(self, J, domain, max_nof_coefficients=100, interval_type='lin', **kwargs):
"""Generates direct discretization coefficients from a spectral density J, by computing the integrals: gamma_i = sqrt(int_i^i+1 J(x) dx) xi_i = int_i^i+1 J(x) * x dx/ gamma_i^2 :para... | the_stack_v2_python_sparse | mapping/star/discretized_bath/asymmetric_trapz.py | fhoeb/py-mapping | train | 2 | |
861178ff18b6ad503457dad7141f03bec4b48e3a | [
"logger.info('iNPS Peak Caller')\nTool.__init__(self)\nif configuration is None:\n configuration = {}\nself.configuration.update(configuration)",
"bed_file = bam_file + '.bed'\ncommand_line_1 = 'bedtools bamtobed -i ' + bam_file\ncommand_line_2 = 'iNPS ' + ' '.join(inps_params)\ncommand_line_2 = command_line_2... | <|body_start_0|>
logger.info('iNPS Peak Caller')
Tool.__init__(self)
if configuration is None:
configuration = {}
self.configuration.update(configuration)
<|end_body_0|>
<|body_start_1|>
bed_file = bam_file + '.bed'
command_line_1 = 'bedtools bamtobed -i ' + ... | Tool for peak calling for MNase-seq data | inps | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class inps:
"""Tool for peak calling for MNase-seq data"""
def __init__(self, configuration=None):
"""Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that define how the operation should be carried out, which are spe... | stack_v2_sparse_classes_36k_train_020514 | 5,797 | permissive | [
{
"docstring": "Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that define how the operation should be carried out, which are specific to each Tool.",
"name": "__init__",
"signature": "def __init__(self, configuration=None)"
},... | 3 | stack_v2_sparse_classes_30k_train_013750 | Implement the Python class `inps` described below.
Class description:
Tool for peak calling for MNase-seq data
Method signatures and docstrings:
- def __init__(self, configuration=None): Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that defi... | Implement the Python class `inps` described below.
Class description:
Tool for peak calling for MNase-seq data
Method signatures and docstrings:
- def __init__(self, configuration=None): Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that defi... | 50c7115c0c1a6af48dc34f275e469d1b9eb02999 | <|skeleton|>
class inps:
"""Tool for peak calling for MNase-seq data"""
def __init__(self, configuration=None):
"""Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that define how the operation should be carried out, which are spe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class inps:
"""Tool for peak calling for MNase-seq data"""
def __init__(self, configuration=None):
"""Initialise the tool with its configuration. Parameters ---------- configuration : dict a dictionary containing parameters that define how the operation should be carried out, which are specific to each... | the_stack_v2_python_sparse | tool/inps.py | Multiscale-Genomics/mg-process-fastq | train | 2 |
00e5e0d509c9a17bf7bb6083ef0d9be41c42e90a | [
"enter_app_manual()\nglobal case_flag\ncase_flag = False\nbrowser.pre_check()\nif not test_suit_browser.BOOL_STK_WIFI_CHECK:\n start_activity('com.android.settings', '.Settings')\n settings.disable_wifi()\nif not is_cdma():\n start_activity('com.android.settings', '.Settings')\n settings.set_default_dat... | <|body_start_0|>
enter_app_manual()
global case_flag
case_flag = False
browser.pre_check()
if not test_suit_browser.BOOL_STK_WIFI_CHECK:
start_activity('com.android.settings', '.Settings')
settings.disable_wifi()
if not is_cdma():
start... | test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>} | test_suit_browser_case2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_suit_browser_case2:
"""test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>}"""
def test_case_main(self, case_results):
"""main entry. @type case_results: tuple @param case_results: record some case result information"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_020515 | 2,773 | no_license | [
{
"docstring": "main entry. @type case_results: tuple @param case_results: record some case result information",
"name": "test_case_main",
"signature": "def test_case_main(self, case_results)"
},
{
"docstring": "record the case result",
"name": "test_case_end",
"signature": "def test_cas... | 2 | null | Implement the Python class `test_suit_browser_case2` described below.
Class description:
test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>}
Method signatures and docstrings:
- def test_case_main(self, case_results): main entry. @type case_results: tuple @param case_results: reco... | Implement the Python class `test_suit_browser_case2` described below.
Class description:
test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>}
Method signatures and docstrings:
- def test_case_main(self, case_results): main entry. @type case_results: tuple @param case_results: reco... | a04b717ae437511abae1e7e9e399373c161a7b65 | <|skeleton|>
class test_suit_browser_case2:
"""test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>}"""
def test_case_main(self, case_results):
"""main entry. @type case_results: tuple @param case_results: record some case result information"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class test_suit_browser_case2:
"""test_suit_browser_case2 is a class for browser case. @see: L{TestCaseBase <TestCaseBase>}"""
def test_case_main(self, case_results):
"""main entry. @type case_results: tuple @param case_results: record some case result information"""
enter_app_manual()
... | the_stack_v2_python_sparse | test_env/test_suit_browser/test_suit_browser_case2.py | wwlwwlqaz/Qualcomm | train | 1 |
30adfa153b5bfe7124ab0c9793504dc8e331680a | [
"if atom.IsInRing():\n return True\ncount = self.depth_first_search_for_ring(atom)\nreturn count > 1",
"count = 0\nfor nbor in atom.GetAtoms():\n visited = set()\n visited.add(atom)\n if nbor.IsInRing() or self.traverse_for_ring(visited, nbor):\n count += 1\nreturn count",
"visited.add(atom)\... | <|body_start_0|>
if atom.IsInRing():
return True
count = self.depth_first_search_for_ring(atom)
return count > 1
<|end_body_0|>
<|body_start_1|>
count = 0
for nbor in atom.GetAtoms():
visited = set()
visited.add(atom)
if nbor.IsInR... | Test if an atom is part of the Murcko scaffold of a molecule. | IsInScaffold | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IsInScaffold:
"""Test if an atom is part of the Murcko scaffold of a molecule."""
def __call__(self, atom):
"""Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom."""
<|body_0|>
def depth_first_search_for_ring(self, atom):
""... | stack_v2_sparse_classes_36k_train_020516 | 3,664 | permissive | [
{
"docstring": "Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom.",
"name": "__call__",
"signature": "def __call__(self, atom)"
},
{
"docstring": "Perform a depth-first search to count the number of rings that are directly or indirectly connected to an at... | 3 | stack_v2_sparse_classes_30k_train_016640 | Implement the Python class `IsInScaffold` described below.
Class description:
Test if an atom is part of the Murcko scaffold of a molecule.
Method signatures and docstrings:
- def __call__(self, atom): Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom.
- def depth_first_search_... | Implement the Python class `IsInScaffold` described below.
Class description:
Test if an atom is part of the Murcko scaffold of a molecule.
Method signatures and docstrings:
- def __call__(self, atom): Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom.
- def depth_first_search_... | a6af3686c82a5d1d6b68341fe5e5b16e8e4ed356 | <|skeleton|>
class IsInScaffold:
"""Test if an atom is part of the Murcko scaffold of a molecule."""
def __call__(self, atom):
"""Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom."""
<|body_0|>
def depth_first_search_for_ring(self, atom):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IsInScaffold:
"""Test if an atom is part of the Murcko scaffold of a molecule."""
def __call__(self, atom):
"""Check whether an atom is in the Murcko scaffold. Parameters ---------- atom : OEAtom Atom."""
if atom.IsInRing():
return True
count = self.depth_first_search_... | the_stack_v2_python_sparse | oe_utils/chem/scaffold.py | skearnes/color-features | train | 5 |
5927366327e8e5a9229ff4e941d989e024abe33b | [
"self.args = args\nself.actions_dict = {}\nself.first_call = True\nself.MAX_DEPTH = 0",
"self.first_call = False\nself.nb_agent = state.getNumAgents()\nx = max(state.getWalls().asList())\nnb_cell = x[0] * x[1]\nif nb_cell <= 20:\n self.MAX_DEPTH = 4\nelif 21 < nb_cell <= 40:\n self.MAX_DEPTH = 3\nelif 41 < ... | <|body_start_0|>
self.args = args
self.actions_dict = {}
self.first_call = True
self.MAX_DEPTH = 0
<|end_body_0|>
<|body_start_1|>
self.first_call = False
self.nb_agent = state.getNumAgents()
x = max(state.getWalls().asList())
nb_cell = x[0] * x[1]
... | PacmanAgent | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PacmanAgent:
def __init__(self, args):
"""Arguments: ---------- - `args`: Namespace of arguments from command-line prompt."""
<|body_0|>
def initVariable(self, state):
"""Given a pacman game state, initialise the class variables Arguments: ---------- - `state`: the c... | stack_v2_sparse_classes_36k_train_020517 | 12,574 | no_license | [
{
"docstring": "Arguments: ---------- - `args`: Namespace of arguments from command-line prompt.",
"name": "__init__",
"signature": "def __init__(self, args)"
},
{
"docstring": "Given a pacman game state, initialise the class variables Arguments: ---------- - `state`: the current game state.",
... | 5 | stack_v2_sparse_classes_30k_train_008246 | Implement the Python class `PacmanAgent` described below.
Class description:
Implement the PacmanAgent class.
Method signatures and docstrings:
- def __init__(self, args): Arguments: ---------- - `args`: Namespace of arguments from command-line prompt.
- def initVariable(self, state): Given a pacman game state, initi... | Implement the Python class `PacmanAgent` described below.
Class description:
Implement the PacmanAgent class.
Method signatures and docstrings:
- def __init__(self, args): Arguments: ---------- - `args`: Namespace of arguments from command-line prompt.
- def initVariable(self, state): Given a pacman game state, initi... | d0914255dfc71d524f490b060d3f17a9b027da02 | <|skeleton|>
class PacmanAgent:
def __init__(self, args):
"""Arguments: ---------- - `args`: Namespace of arguments from command-line prompt."""
<|body_0|>
def initVariable(self, state):
"""Given a pacman game state, initialise the class variables Arguments: ---------- - `state`: the c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PacmanAgent:
def __init__(self, args):
"""Arguments: ---------- - `args`: Namespace of arguments from command-line prompt."""
self.args = args
self.actions_dict = {}
self.first_call = True
self.MAX_DEPTH = 0
def initVariable(self, state):
"""Given a pacman ... | the_stack_v2_python_sparse | P2/hminimax.py | nDerroitte/INFO8006-1-Pacman-IA | train | 1 | |
080c5198932f7f177d27a684401b59c6521573d1 | [
"self.schema = schema\nself.fragments = fragments\nself.operation = operation\nself.context = context\nself.root_value = root_value\nself.variable_values = variable_values\nself.errors: List['TartifletteError'] = []",
"exceptions = raw_exception.exceptions if isinstance(raw_exception, MultipleException) else [raw... | <|body_start_0|>
self.schema = schema
self.fragments = fragments
self.operation = operation
self.context = context
self.root_value = root_value
self.variable_values = variable_values
self.errors: List['TartifletteError'] = []
<|end_body_0|>
<|body_start_1|>
... | Utility class containing all the information needed to run an end-to-end GraphQL request. | ExecutionContext | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExecutionContext:
"""Utility class containing all the information needed to run an end-to-end GraphQL request."""
def __init__(self, schema: 'GraphQLSchema', fragments: Dict[str, 'FragmentDefinitionNode'], operation: 'OperationDefinitionNode', context: Optional[Any], root_value: Optional[Any... | stack_v2_sparse_classes_36k_train_020518 | 6,455 | permissive | [
{
"docstring": ":param schema: the GraphQLSchema instance linked to the engine :param fragments: the dictionary of fragment definition AST node contained in the request :param operation: the AST operation definition node to execute :param context: value that can contain everything you need and that will be acce... | 2 | null | Implement the Python class `ExecutionContext` described below.
Class description:
Utility class containing all the information needed to run an end-to-end GraphQL request.
Method signatures and docstrings:
- def __init__(self, schema: 'GraphQLSchema', fragments: Dict[str, 'FragmentDefinitionNode'], operation: 'Operat... | Implement the Python class `ExecutionContext` described below.
Class description:
Utility class containing all the information needed to run an end-to-end GraphQL request.
Method signatures and docstrings:
- def __init__(self, schema: 'GraphQLSchema', fragments: Dict[str, 'FragmentDefinitionNode'], operation: 'Operat... | 421c1e937f553d6a5bf2f30154022c0d77053cfb | <|skeleton|>
class ExecutionContext:
"""Utility class containing all the information needed to run an end-to-end GraphQL request."""
def __init__(self, schema: 'GraphQLSchema', fragments: Dict[str, 'FragmentDefinitionNode'], operation: 'OperationDefinitionNode', context: Optional[Any], root_value: Optional[Any... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExecutionContext:
"""Utility class containing all the information needed to run an end-to-end GraphQL request."""
def __init__(self, schema: 'GraphQLSchema', fragments: Dict[str, 'FragmentDefinitionNode'], operation: 'OperationDefinitionNode', context: Optional[Any], root_value: Optional[Any], variable_v... | the_stack_v2_python_sparse | tartiflette/execution/context.py | tartiflette/tartiflette | train | 586 |
cba7ae0c95294becc7d3c7b767dae8e1ac43eedb | [
"super(QDockFrameLayout, self).__init__(parent)\nself._size_hint = QSize()\nself._min_size = QSize()\nself._max_size = QSize()",
"super(QDockFrameLayout, self).invalidate()\nself._size_hint = QSize()\nself._min_size = QSize()\nself._max_size = QSize()",
"hint = self._size_hint\nif hint.isValid():\n return hi... | <|body_start_0|>
super(QDockFrameLayout, self).__init__(parent)
self._size_hint = QSize()
self._min_size = QSize()
self._max_size = QSize()
<|end_body_0|>
<|body_start_1|>
super(QDockFrameLayout, self).invalidate()
self._size_hint = QSize()
self._min_size = QSize... | A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code. | QDockFrameLayout | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QDockFrameLayout:
"""A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code."""
def __init__(self, parent=None):
"""Initialize a QDockFrameLayout. Parameters ---------- parent : QWidget or None The parent wi... | stack_v2_sparse_classes_36k_train_020519 | 2,406 | permissive | [
{
"docstring": "Initialize a QDockFrameLayout. Parameters ---------- parent : QWidget or None The parent widget owner of the layout.",
"name": "__init__",
"signature": "def __init__(self, parent=None)"
},
{
"docstring": "Invalidate the cached layout data.",
"name": "invalidate",
"signatu... | 5 | null | Implement the Python class `QDockFrameLayout` described below.
Class description:
A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code.
Method signatures and docstrings:
- def __init__(self, parent=None): Initialize a QDockFrameLayout. Par... | Implement the Python class `QDockFrameLayout` described below.
Class description:
A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code.
Method signatures and docstrings:
- def __init__(self, parent=None): Initialize a QDockFrameLayout. Par... | 1544e7fb371b8f941cfa2fde682795e479380284 | <|skeleton|>
class QDockFrameLayout:
"""A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code."""
def __init__(self, parent=None):
"""Initialize a QDockFrameLayout. Parameters ---------- parent : QWidget or None The parent wi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class QDockFrameLayout:
"""A single widget layout for dock frames. This class is used by the docking framework and is not intended for direct use by user code."""
def __init__(self, parent=None):
"""Initialize a QDockFrameLayout. Parameters ---------- parent : QWidget or None The parent widget owner of... | the_stack_v2_python_sparse | enaml/qt/docking/q_dock_frame_layout.py | MatthieuDartiailh/enaml | train | 26 |
1a246b5f0f6da16c971189b2759f5e7ffd9c3cbf | [
"i, n = (0, len(s))\nfor j in range(n - 1, -1, -1):\n if s[i] == s[j]:\n i += 1\n print(i, j)\nif i == n:\n return s\nrem = s[i:]\nprint(i, rem)\nreturn rem[::-1] + self.shortestPalindrome(s[:i]) + s[i:]",
"r = s[::-1]\nfor i in range(len(s) + 1):\n if s.startswith(r[i:]):\n return r... | <|body_start_0|>
i, n = (0, len(s))
for j in range(n - 1, -1, -1):
if s[i] == s[j]:
i += 1
print(i, j)
if i == n:
return s
rem = s[i:]
print(i, rem)
return rem[::-1] + self.shortestPalindrome(s[:i]) + s[i:]
<|end_bod... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def shortestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def shortestPalindrome2(self, s):
""":type s: str :rtype: str"""
<|body_1|>
def shortestPalindromeKMP(self, s):
""":type s: str :rtype: str"""
<|body_2|>... | stack_v2_sparse_classes_36k_train_020520 | 2,171 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "shortestPalindrome",
"signature": "def shortestPalindrome(self, s)"
},
{
"docstring": ":type s: str :rtype: str",
"name": "shortestPalindrome2",
"signature": "def shortestPalindrome2(self, s)"
},
{
"docstring": ":type s: str :rt... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shortestPalindrome(self, s): :type s: str :rtype: str
- def shortestPalindrome2(self, s): :type s: str :rtype: str
- def shortestPalindromeKMP(self, s): :type s: str :rtype: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shortestPalindrome(self, s): :type s: str :rtype: str
- def shortestPalindrome2(self, s): :type s: str :rtype: str
- def shortestPalindromeKMP(self, s): :type s: str :rtype: ... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def shortestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def shortestPalindrome2(self, s):
""":type s: str :rtype: str"""
<|body_1|>
def shortestPalindromeKMP(self, s):
""":type s: str :rtype: str"""
<|body_2|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def shortestPalindrome(self, s):
""":type s: str :rtype: str"""
i, n = (0, len(s))
for j in range(n - 1, -1, -1):
if s[i] == s[j]:
i += 1
print(i, j)
if i == n:
return s
rem = s[i:]
print(i, rem)
... | the_stack_v2_python_sparse | S/ShortestPalindrome.py | bssrdf/pyleet | train | 2 | |
7566277fbe5b4aa47cb2e1ce09af0cf0711df3d1 | [
"encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)\nattention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.dtype)\nmodel = transformer.TransformerLayer(model_dim=self.model_dim, intermediate_dim=self.intermediate_dim, num_heads=self.num_heads, dropout_rate=self.drop... | <|body_start_0|>
encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)
attention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.dtype)
model = transformer.TransformerLayer(model_dim=self.model_dim, intermediate_dim=self.intermediate_dim, num_heads=self... | Transformer layer test. | TransformerTest | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
<|body_0|>
def test_transformer_block_shape(self):
"""Testing transformer block shape."""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_020521 | 2,562 | permissive | [
{
"docstring": "Testing transformer layer shape.",
"name": "test_transformer_layer_shape",
"signature": "def test_transformer_layer_shape(self)"
},
{
"docstring": "Testing transformer block shape.",
"name": "test_transformer_block_shape",
"signature": "def test_transformer_block_shape(se... | 2 | null | Implement the Python class `TransformerTest` described below.
Class description:
Transformer layer test.
Method signatures and docstrings:
- def test_transformer_layer_shape(self): Testing transformer layer shape.
- def test_transformer_block_shape(self): Testing transformer block shape. | Implement the Python class `TransformerTest` described below.
Class description:
Transformer layer test.
Method signatures and docstrings:
- def test_transformer_layer_shape(self): Testing transformer layer shape.
- def test_transformer_block_shape(self): Testing transformer block shape.
<|skeleton|>
class Transform... | ac9447064195e06de48cc91ff642f7fffa28ffe8 | <|skeleton|>
class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
<|body_0|>
def test_transformer_block_shape(self):
"""Testing transformer block shape."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TransformerTest:
"""Transformer layer test."""
def test_transformer_layer_shape(self):
"""Testing transformer layer shape."""
encoding = jnp.ones(shape=(self.bsz, self.seq_len, self.model_dim), dtype=self.dtype)
attention_mask = jnp.ones(shape=(self.bsz, self.seq_len), dtype=self.... | the_stack_v2_python_sparse | language/mentionmemory/modules/transformer_test.py | google-research/language | train | 1,567 |
8163b7602588f699b3e0958e0d6ebfd6b0b6053a | [
"self.d = {}\nfor idx, word in enumerate(words):\n if word not in self.d:\n self.d[word] = [idx]\n else:\n self.d[word].append(idx)",
"list1, list2 = (self.d[word1], self.d[word2])\nresult, c1, c2 = (float('inf'), 0, 0)\nwhile c1 < len(list1) and c2 < len(list2):\n if list1[c1] < list2[c2]:... | <|body_start_0|>
self.d = {}
for idx, word in enumerate(words):
if word not in self.d:
self.d[word] = [idx]
else:
self.d[word].append(idx)
<|end_body_0|>
<|body_start_1|>
list1, list2 = (self.d[word1], self.d[word2])
result, c1, c2... | WordDistance | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.d = {}
for idx, word in ... | stack_v2_sparse_classes_36k_train_020522 | 1,821 | no_license | [
{
"docstring": ":type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": ":type word1: str :type word2: str :rtype: int",
"name": "shortest",
"signature": "def shortest(self, word1, word2)"
}
] | 2 | null | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def shortest(self, word1, word2): :type word1: str :type word2: str :rtype: int
<|skeleton|>
class WordDistance:
... | dd268af242d18bc2fd9527661c71d2e51af1039d | <|skeleton|>
class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
""":type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WordDistance:
def __init__(self, words):
""":type words: List[str]"""
self.d = {}
for idx, word in enumerate(words):
if word not in self.d:
self.d[word] = [idx]
else:
self.d[word].append(idx)
def shortest(self, word1, word2):... | the_stack_v2_python_sparse | Categories/No_Fucking_Clue/RRR244.Shortest_Word_Distance_II.py | HotsauceLee/Leetcode | train | 2 | |
01c9b2533fdc8b368cad4fd2cd0d3d3d2606ec4d | [
"w = [(x2 - x1 + 1) * (y2 - y1 + 1) for x1, y1, x2, y2 in rects]\nself.weights = [i / sum(w) for i in accumulate(w)]\nself.rects = rects",
"n_rect = bisect.bisect(self.weights, random.random())\nx1, y1, x2, y2 = self.rects[n_rect]\nreturn [random.randint(x1, x2), random.randint(y1, y2)]"
] | <|body_start_0|>
w = [(x2 - x1 + 1) * (y2 - y1 + 1) for x1, y1, x2, y2 in rects]
self.weights = [i / sum(w) for i in accumulate(w)]
self.rects = rects
<|end_body_0|>
<|body_start_1|>
n_rect = bisect.bisect(self.weights, random.random())
x1, y1, x2, y2 = self.rects[n_rect]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
<|body_0|>
def pick(self):
""":rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
w = [(x2 - x1 + 1) * (y2 - y1 + 1) for x1, y1, x2, y2 in rects]
self.weig... | stack_v2_sparse_classes_36k_train_020523 | 1,355 | no_license | [
{
"docstring": ":type rects: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, rects)"
},
{
"docstring": ":rtype: List[int]",
"name": "pick",
"signature": "def pick(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014171 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, rects): :type rects: List[List[int]]
- def pick(self): :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, rects): :type rects: List[List[int]]
- def pick(self): :rtype: List[int]
<|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: ... | f93380721b8383817fe2b0d728deca1321c9ef45 | <|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
<|body_0|>
def pick(self):
""":rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
w = [(x2 - x1 + 1) * (y2 - y1 + 1) for x1, y1, x2, y2 in rects]
self.weights = [i / sum(w) for i in accumulate(w)]
self.rects = rects
def pick(self):
""":rtype: List[int]"""
n_rect = bi... | the_stack_v2_python_sparse | explore/2020/august/Random_Point_in_Non-overlapping_Rectangles.2.py | lixiang2017/leetcode | train | 5 | |
baae2d126980579124c690513037aae4b633096d | [
"res = []\ntotal = 0\nwhile head:\n total += 1\n res.append(head.val)\n head = head.next\nfor i in range(total // 2):\n if res[i] != res[-i - 1]:\n return False\nreturn True",
"res = []\ntotal = 0\nwhile head:\n total += 1\n res.append(head.val)\n head = head.next\nreturn res == res[::... | <|body_start_0|>
res = []
total = 0
while head:
total += 1
res.append(head.val)
head = head.next
for i in range(total // 2):
if res[i] != res[-i - 1]:
return False
return True
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
<|body_0|>
def isPalindromeMethod1(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return... | stack_v2_sparse_classes_36k_train_020524 | 1,748 | no_license | [
{
"docstring": "先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False",
"name": "isPalindrome",
"signature": "def isPalindrome(self, head: ListNode) -> bool"
},
{
"docstring": "先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False",
"name": "isPali... | 2 | stack_v2_sparse_classes_30k_train_016204 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head: ListNode) -> bool: 先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False
- def isPalindromeMethod1(self, head: ListNode) -> boo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, head: ListNode) -> bool: 先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False
- def isPalindromeMethod1(self, head: ListNode) -> boo... | af13162360a28a0bcd71918fd8bff77c41ddcc2a | <|skeleton|>
class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
<|body_0|>
def isPalindromeMethod1(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, head: ListNode) -> bool:
"""先遍历链表，然后再进行判断 空间复杂度O(n) 时间复杂度O(n) :param head: 单链表 :return: bool True False"""
res = []
total = 0
while head:
total += 1
res.append(head.val)
head = head.next
for i in range... | the_stack_v2_python_sparse | 算法分析和归类/链表/回文链表.py | Carmenliukang/leetcode | train | 4 | |
0f065cc62950dd0d4b1e42b7e5eb47ba1562811f | [
"super(Transformer, self).__init__()\nself.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate)\nself.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_target, drop_rate)\nself.linear = tf.keras.layers.Dense(target_vocab)",
"enc = self.encoder(inputs, training, encoder_mask)\ndec = s... | <|body_start_0|>
super(Transformer, self).__init__()
self.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, drop_rate)
self.decoder = Decoder(N, dm, h, hidden, target_vocab, max_seq_target, drop_rate)
self.linear = tf.keras.layers.Dense(target_vocab)
<|end_body_0|>
<|body_... | a transformer network | Transformer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transformer:
"""a transformer network"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""initialization"""
<|body_0|>
def call(self, inputs, target, training, encoder_mask, look_ahead_mask, decoder_mask):
... | stack_v2_sparse_classes_36k_train_020525 | 1,355 | no_license | [
{
"docstring": "initialization",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1)"
},
{
"docstring": "call function",
"name": "call",
"signature": "def call(self, inputs, target, training, enco... | 2 | stack_v2_sparse_classes_30k_train_007906 | Implement the Python class `Transformer` described below.
Class description:
a transformer network
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): initialization
- def call(self, inputs, target, training, encoder_mask, ... | Implement the Python class `Transformer` described below.
Class description:
a transformer network
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1): initialization
- def call(self, inputs, target, training, encoder_mask, ... | 16dc37d1c6dc00a271053b60724c51763914029a | <|skeleton|>
class Transformer:
"""a transformer network"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""initialization"""
<|body_0|>
def call(self, inputs, target, training, encoder_mask, look_ahead_mask, decoder_mask):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Transformer:
"""a transformer network"""
def __init__(self, N, dm, h, hidden, input_vocab, target_vocab, max_seq_input, max_seq_target, drop_rate=0.1):
"""initialization"""
super(Transformer, self).__init__()
self.encoder = Encoder(N, dm, h, hidden, input_vocab, max_seq_input, dro... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/11-transformer.py | jaycer95/holbertonschool-machine_learning | train | 0 |
1a327a9baf0e8679700c937f96f46ea003a09a11 | [
"self.drop_pdbs_if_exists = drop_pdbs_if_exists\nself.existing_cdb = existing_cdb\nself.include_in_restore = include_in_restore\nself.pdb_entity_info_vec = pdb_entity_info_vec\nself.rename_pdb_map = rename_pdb_map",
"if dictionary is None:\n return None\ndrop_pdbs_if_exists = dictionary.get('dropPdbsIfExists')... | <|body_start_0|>
self.drop_pdbs_if_exists = drop_pdbs_if_exists
self.existing_cdb = existing_cdb
self.include_in_restore = include_in_restore
self.pdb_entity_info_vec = pdb_entity_info_vec
self.rename_pdb_map = rename_pdb_map
<|end_body_0|>
<|body_start_1|>
if dictionary... | Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to an existing CDB. include_in_restore (bool): Whether or not to restore the PDB when... | PDBRestoreParam | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PDBRestoreParam:
"""Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to an existing CDB. include_in_restore (bo... | stack_v2_sparse_classes_36k_train_020526 | 3,630 | permissive | [
{
"docstring": "Constructor for the PDBRestoreParam class",
"name": "__init__",
"signature": "def __init__(self, drop_pdbs_if_exists=None, existing_cdb=None, include_in_restore=None, pdb_entity_info_vec=None, rename_pdb_map=None)"
},
{
"docstring": "Creates an instance of this model from a dicti... | 2 | null | Implement the Python class `PDBRestoreParam` described below.
Class description:
Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to ... | Implement the Python class `PDBRestoreParam` described below.
Class description:
Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class PDBRestoreParam:
"""Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to an existing CDB. include_in_restore (bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PDBRestoreParam:
"""Implementation of the 'PDBRestoreParam' model. TODO: type description here. Attributes: drop_pdbs_if_exists (bool): During the restore workflow, drop the pdb if the same name pdb exists. existing_cdb (bool): Restore given list of pdbs to an existing CDB. include_in_restore (bool): Whether ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/pdb_restore_param.py | cohesity/management-sdk-python | train | 24 |
aaad78e3221c86b992e1b2de9dffcde636c1b8db | [
"for pos, assertions in other.failed.items():\n self.failed[pos].update(assertions)\nfor pos, assertions in other.error.items():\n self.error[pos].update(assertions)",
"if stmt_idx in self.failed and assertion_idx in self.failed[stmt_idx]:\n return True\nif stmt_idx in self.error and assertion_idx in sel... | <|body_start_0|>
for pos, assertions in other.failed.items():
self.failed[pos].update(assertions)
for pos, assertions in other.error.items():
self.error[pos].update(assertions)
<|end_body_0|>
<|body_start_1|>
if stmt_idx in self.failed and assertion_idx in self.failed[st... | Trace for assertion verification. | AssertionVerificationTrace | [
"CC-BY-4.0",
"LGPL-2.1-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AssertionVerificationTrace:
"""Trace for assertion verification."""
def merge(self, other: AssertionVerificationTrace) -> None:
"""Merge another trace into this trace. Args: other: The other trace"""
<|body_0|>
def was_violated(self, stmt_idx: int, assertion_idx: int) ->... | stack_v2_sparse_classes_36k_train_020527 | 3,855 | permissive | [
{
"docstring": "Merge another trace into this trace. Args: other: The other trace",
"name": "merge",
"signature": "def merge(self, other: AssertionVerificationTrace) -> None"
},
{
"docstring": "Was the assertion at the given position violated? This may happen because the assertion failed or anot... | 2 | stack_v2_sparse_classes_30k_train_019629 | Implement the Python class `AssertionVerificationTrace` described below.
Class description:
Trace for assertion verification.
Method signatures and docstrings:
- def merge(self, other: AssertionVerificationTrace) -> None: Merge another trace into this trace. Args: other: The other trace
- def was_violated(self, stmt_... | Implement the Python class `AssertionVerificationTrace` described below.
Class description:
Trace for assertion verification.
Method signatures and docstrings:
- def merge(self, other: AssertionVerificationTrace) -> None: Merge another trace into this trace. Args: other: The other trace
- def was_violated(self, stmt_... | cc083252c7054824bfaf200533a8b7ad45f7c4fb | <|skeleton|>
class AssertionVerificationTrace:
"""Trace for assertion verification."""
def merge(self, other: AssertionVerificationTrace) -> None:
"""Merge another trace into this trace. Args: other: The other trace"""
<|body_0|>
def was_violated(self, stmt_idx: int, assertion_idx: int) ->... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AssertionVerificationTrace:
"""Trace for assertion verification."""
def merge(self, other: AssertionVerificationTrace) -> None:
"""Merge another trace into this trace. Args: other: The other trace"""
for pos, assertions in other.failed.items():
self.failed[pos].update(assertio... | the_stack_v2_python_sparse | src/pynguin/assertion/assertion_trace.py | se2p/pynguin | train | 1,223 |
3d9e78c57add055f3642a9768fd751b0c6955765 | [
"if type(ids) == type([]):\n move = self.browse(cr, user, ids[0]).move_line_id\nelse:\n move = self.browse(cr, user, ids).move_line_id\nif move:\n invoice_ids = self.pool.get('account.invoice').search(cr, user, [('move_id', '=', move.move_id.id)])\n if invoice_ids:\n invoice = self.pool.get('acco... | <|body_start_0|>
if type(ids) == type([]):
move = self.browse(cr, user, ids[0]).move_line_id
else:
move = self.browse(cr, user, ids).move_line_id
if move:
invoice_ids = self.pool.get('account.invoice').search(cr, user, [('move_id', '=', move.move_id.id)])
... | account_voucher_line | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class account_voucher_line:
def write(self, cr, user, ids, vals, context=None):
"""Add invoice and description in payment modification line"""
<|body_0|>
def create(self, cr, user, vals, context=None):
"""Add invoice and description in payment modification line"""
... | stack_v2_sparse_classes_36k_train_020528 | 8,345 | no_license | [
{
"docstring": "Add invoice and description in payment modification line",
"name": "write",
"signature": "def write(self, cr, user, ids, vals, context=None)"
},
{
"docstring": "Add invoice and description in payment modification line",
"name": "create",
"signature": "def create(self, cr,... | 3 | null | Implement the Python class `account_voucher_line` described below.
Class description:
Implement the account_voucher_line class.
Method signatures and docstrings:
- def write(self, cr, user, ids, vals, context=None): Add invoice and description in payment modification line
- def create(self, cr, user, vals, context=No... | Implement the Python class `account_voucher_line` described below.
Class description:
Implement the account_voucher_line class.
Method signatures and docstrings:
- def write(self, cr, user, ids, vals, context=None): Add invoice and description in payment modification line
- def create(self, cr, user, vals, context=No... | b5cf28bdbb347df4c39ffe3ca32355bd2206077b | <|skeleton|>
class account_voucher_line:
def write(self, cr, user, ids, vals, context=None):
"""Add invoice and description in payment modification line"""
<|body_0|>
def create(self, cr, user, vals, context=None):
"""Add invoice and description in payment modification line"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class account_voucher_line:
def write(self, cr, user, ids, vals, context=None):
"""Add invoice and description in payment modification line"""
if type(ids) == type([]):
move = self.browse(cr, user, ids[0]).move_line_id
else:
move = self.browse(cr, user, ids).move_line... | the_stack_v2_python_sparse | account_check_writing/account_voucher.py | aryaadiputra/addons60_ptgbu_2013 | train | 0 | |
1e67d877a398575070d0734a96a63f238d8869ae | [
"dir_name = 'test_dir'\nif not os.path.exists(dir_name):\n os.makedirs(dir_name)\n download_csv_file(NASA_URL, NASA_CON_NAME + CSV_END, dir_name)\n path = os.path.join(os.getcwd(), dir_name, NASA_CON_NAME + CSV_END)\n self.assertTrue(os.path.exists(path))\n os.remove(path)\n os.rmdir(dir_name)\nel... | <|body_start_0|>
dir_name = 'test_dir'
if not os.path.exists(dir_name):
os.makedirs(dir_name)
download_csv_file(NASA_URL, NASA_CON_NAME + CSV_END, dir_name)
path = os.path.join(os.getcwd(), dir_name, NASA_CON_NAME + CSV_END)
self.assertTrue(os.path.exists(... | Test class to test the csv downloader module | TestCSVDownloader | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCSVDownloader:
"""Test class to test the csv downloader module"""
def test_nasa_site(self):
"""Test Nasa Exoplanet site"""
<|body_0|>
def test_exoplanet_site(self):
"""Test Nasa Exoplanet site"""
<|body_1|>
def test_Invalid(self):
"""chec... | stack_v2_sparse_classes_36k_train_020529 | 1,259 | no_license | [
{
"docstring": "Test Nasa Exoplanet site",
"name": "test_nasa_site",
"signature": "def test_nasa_site(self)"
},
{
"docstring": "Test Nasa Exoplanet site",
"name": "test_exoplanet_site",
"signature": "def test_exoplanet_site(self)"
},
{
"docstring": "check if ValueError cause the ... | 3 | stack_v2_sparse_classes_30k_train_002902 | Implement the Python class `TestCSVDownloader` described below.
Class description:
Test class to test the csv downloader module
Method signatures and docstrings:
- def test_nasa_site(self): Test Nasa Exoplanet site
- def test_exoplanet_site(self): Test Nasa Exoplanet site
- def test_Invalid(self): check if ValueError... | Implement the Python class `TestCSVDownloader` described below.
Class description:
Test class to test the csv downloader module
Method signatures and docstrings:
- def test_nasa_site(self): Test Nasa Exoplanet site
- def test_exoplanet_site(self): Test Nasa Exoplanet site
- def test_Invalid(self): check if ValueError... | de5c0690c7891eaa5f6b29f12995ba46d5fb6d15 | <|skeleton|>
class TestCSVDownloader:
"""Test class to test the csv downloader module"""
def test_nasa_site(self):
"""Test Nasa Exoplanet site"""
<|body_0|>
def test_exoplanet_site(self):
"""Test Nasa Exoplanet site"""
<|body_1|>
def test_Invalid(self):
"""chec... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestCSVDownloader:
"""Test class to test the csv downloader module"""
def test_nasa_site(self):
"""Test Nasa Exoplanet site"""
dir_name = 'test_dir'
if not os.path.exists(dir_name):
os.makedirs(dir_name)
download_csv_file(NASA_URL, NASA_CON_NAME + CSV_END, ... | the_stack_v2_python_sparse | OECSynchronizer/test_csv_downloader.py | marhabac33/oec-synchronizer | train | 0 |
4c55d1d11be9471bd623e486fc8554279b5ba68d | [
"super().__init__(expected=(source,))\nself.temperature = temperature\nself.threshold = threshold",
"strengths, = self.extract_inputs(inputs)\nthresholded = nd.threshold(strengths, th=self.threshold)\nprobabilities = nd.boltzmann(thresholded, self.temperature)\nd = nd.draw(probabilities, n=1)\nd = nd.with_default... | <|body_start_0|>
super().__init__(expected=(source,))
self.temperature = temperature
self.threshold = threshold
<|end_body_0|>
<|body_start_1|>
strengths, = self.extract_inputs(inputs)
thresholded = nd.threshold(strengths, th=self.threshold)
probabilities = nd.boltzmann(... | Selects a chunk according to a Boltzmann distribution. | BoltzmannSelector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BoltzmannSelector:
"""Selects a chunk according to a Boltzmann distribution."""
def __init__(self, source, temperature=0.01, threshold=0.25):
"""Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of the Boltzmann distribution."""
<|body_0|>
def ... | stack_v2_sparse_classes_36k_train_020530 | 7,721 | permissive | [
{
"docstring": "Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of the Boltzmann distribution.",
"name": "__init__",
"signature": "def __init__(self, source, temperature=0.01, threshold=0.25)"
},
{
"docstring": "Select chunks through an activation-based competition. ... | 2 | stack_v2_sparse_classes_30k_train_003376 | Implement the Python class `BoltzmannSelector` described below.
Class description:
Selects a chunk according to a Boltzmann distribution.
Method signatures and docstrings:
- def __init__(self, source, temperature=0.01, threshold=0.25): Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of th... | Implement the Python class `BoltzmannSelector` described below.
Class description:
Selects a chunk according to a Boltzmann distribution.
Method signatures and docstrings:
- def __init__(self, source, temperature=0.01, threshold=0.25): Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of th... | d8ff4c545785ec6cddc989dded9c1a9d3dd91514 | <|skeleton|>
class BoltzmannSelector:
"""Selects a chunk according to a Boltzmann distribution."""
def __init__(self, source, temperature=0.01, threshold=0.25):
"""Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of the Boltzmann distribution."""
<|body_0|>
def ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BoltzmannSelector:
"""Selects a chunk according to a Boltzmann distribution."""
def __init__(self, source, temperature=0.01, threshold=0.25):
"""Initialize a ``BoltzmannSelector`` instance. :param temperature: Temperature of the Boltzmann distribution."""
super().__init__(expected=(source... | the_stack_v2_python_sparse | pyClarion/components/propagators.py | HZeng3/pyClarion | train | 0 |
ae64ad298dd824b3ab414055358f97759267dac2 | [
"self.mddb_env = MDDBEnv()\nif configFile:\n self.mddb_env.configure(configFile)\nelse:\n self.mddb_env.configure()",
"cmd = []\ncmd.append(self.mddb_env.executable)\ncmd = self.__cmdSwitches(cmd)\nlogname = 'file_guid_' + collId + '.log'\nlogFileName = join(self.mddb_env.logs, logname)\ncmd.extend(['--serv... | <|body_start_0|>
self.mddb_env = MDDBEnv()
if configFile:
self.mddb_env.configure(configFile)
else:
self.mddb_env.configure()
<|end_body_0|>
<|body_start_1|>
cmd = []
cmd.append(self.mddb_env.executable)
cmd = self.__cmdSwitches(cmd)
logna... | F2CArgs | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class F2CArgs:
def __init__(self, configFile=None):
"""Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods."""
<|body_0|>
def buildCmdLine(self, collId, override, config, defaults, uri):
"""Builds the fits2caom command line for us... | stack_v2_sparse_classes_36k_train_020531 | 4,055 | no_license | [
{
"docstring": "Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods.",
"name": "__init__",
"signature": "def __init__(self, configFile=None)"
},
{
"docstring": "Builds the fits2caom command line for use by caller. parameters: <string>, <string>, <string... | 3 | stack_v2_sparse_classes_30k_train_017132 | Implement the Python class `F2CArgs` described below.
Class description:
Implement the F2CArgs class.
Method signatures and docstrings:
- def __init__(self, configFile=None): Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods.
- def buildCmdLine(self, collId, override, conf... | Implement the Python class `F2CArgs` described below.
Class description:
Implement the F2CArgs class.
Method signatures and docstrings:
- def __init__(self, configFile=None): Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods.
- def buildCmdLine(self, collId, override, conf... | cdb21a4e23de796407916314e07777842eee9b42 | <|skeleton|>
class F2CArgs:
def __init__(self, configFile=None):
"""Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods."""
<|body_0|>
def buildCmdLine(self, collId, override, config, defaults, uri):
"""Builds the fits2caom command line for us... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class F2CArgs:
def __init__(self, configFile=None):
"""Constuctor returns an F2CArgs instance. All other functionality is called via supplied methods."""
self.mddb_env = MDDBEnv()
if configFile:
self.mddb_env.configure(configFile)
else:
self.mddb_env.configure... | the_stack_v2_python_sparse | utils/f2cArgs.py | kiloRomeoAlpha/mddb_v1.3.2 | train | 0 | |
3052a6773ed02c8b4dfe7858000b72e3c89efa12 | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=self.normalize_email(email))\nuser.set_password(password)\nuser.is_admin = False\nuser.is_superuser = False\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, password=password)\nuser.is_admin ... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email))
user.set_password(password)
user.is_admin = False
user.is_superuser = False
user.save(using=self._db)
return user
<... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, password):
"""Creates and saves a superuser with the given email and password."""
<|body... | stack_v2_sparse_classes_36k_train_020532 | 5,264 | no_license | [
{
"docstring": "Creates and saves a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email and password.",
"name": "create_superuser",
"signature": "... | 2 | stack_v2_sparse_classes_30k_train_007360 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates and saves a User with the given email and password.
- def create_superuser(self, email, password): Creates and save... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, password=None): Creates and saves a User with the given email and password.
- def create_superuser(self, email, password): Creates and save... | 48b30854bd1fe7a064204c3c13574af80e9136dc | <|skeleton|>
class MyUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, password):
"""Creates and saves a superuser with the given email and password."""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyUserManager:
def create_user(self, email, password=None):
"""Creates and saves a User with the given email and password."""
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email))
user.set_password(pa... | the_stack_v2_python_sparse | autoriz/models.py | bwrm/alip | train | 0 | |
b0d0f363e29aad0a64be302d58f9e85cfcec7e2b | [
"if 'fileIds' not in self.my_osid_object._my_map or 'preview' not in self.my_osid_object._my_map['fileIds'] or self.my_osid_object._my_map['fileIds']['preview'] is None:\n return False\nreturn bool(self.my_osid_object._my_map['fileIds']['preview'])",
"if self.has_preview():\n pass\nraise LookupError('No PDF... | <|body_start_0|>
if 'fileIds' not in self.my_osid_object._my_map or 'preview' not in self.my_osid_object._my_map['fileIds'] or self.my_osid_object._my_map['fileIds']['preview'] is None:
return False
return bool(self.my_osid_object._my_map['fileIds']['preview'])
<|end_body_0|>
<|body_start_1... | for records with a PDF preview file | PDFPreviewRecord | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PDFPreviewRecord:
"""for records with a PDF preview file"""
def has_preview(self):
"""stub"""
<|body_0|>
def get_preview(self):
"""stub"""
<|body_1|>
def get_preview_raw(self):
"""stub"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_020533 | 15,792 | permissive | [
{
"docstring": "stub",
"name": "has_preview",
"signature": "def has_preview(self)"
},
{
"docstring": "stub",
"name": "get_preview",
"signature": "def get_preview(self)"
},
{
"docstring": "stub",
"name": "get_preview_raw",
"signature": "def get_preview_raw(self)"
}
] | 3 | null | Implement the Python class `PDFPreviewRecord` described below.
Class description:
for records with a PDF preview file
Method signatures and docstrings:
- def has_preview(self): stub
- def get_preview(self): stub
- def get_preview_raw(self): stub | Implement the Python class `PDFPreviewRecord` described below.
Class description:
for records with a PDF preview file
Method signatures and docstrings:
- def has_preview(self): stub
- def get_preview(self): stub
- def get_preview_raw(self): stub
<|skeleton|>
class PDFPreviewRecord:
"""for records with a PDF prev... | 445f968a175d61c8d92c0f617a3c17dc1dc7c584 | <|skeleton|>
class PDFPreviewRecord:
"""for records with a PDF preview file"""
def has_preview(self):
"""stub"""
<|body_0|>
def get_preview(self):
"""stub"""
<|body_1|>
def get_preview_raw(self):
"""stub"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PDFPreviewRecord:
"""for records with a PDF preview file"""
def has_preview(self):
"""stub"""
if 'fileIds' not in self.my_osid_object._my_map or 'preview' not in self.my_osid_object._my_map['fileIds'] or self.my_osid_object._my_map['fileIds']['preview'] is None:
return False
... | the_stack_v2_python_sparse | dlkit/records/assessment/mecqbank/mecqbank_base_records.py | mitsei/dlkit | train | 2 |
039bbe909fd4e15984002568dc5398b733bdb3bd | [
"driver = obj.driver\nWebDriverWait(driver, 100).until(lambda driver: driver.find_element(*self.locator))\ndriver.find_element(*self.locator).clear()\ndriver.find_element(*self.locator).send_keys(value)",
"driver = obj.driver\nWebDriverWait(driver, 100).until(lambda driver: driver.find_element(*self.locator))\nel... | <|body_start_0|>
driver = obj.driver
WebDriverWait(driver, 100).until(lambda driver: driver.find_element(*self.locator))
driver.find_element(*self.locator).clear()
driver.find_element(*self.locator).send_keys(value)
<|end_body_0|>
<|body_start_1|>
driver = obj.driver
Web... | Base page class that is initialized on every page object class. | BasePageElement | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
<|body_0|>
def __get__(self, obj, owner):
"""Gets the text of the specified object"""
<|body_1|... | stack_v2_sparse_classes_36k_train_020534 | 3,363 | no_license | [
{
"docstring": "Sets the text to the value supplied",
"name": "__set__",
"signature": "def __set__(self, obj, value)"
},
{
"docstring": "Gets the text of the specified object",
"name": "__get__",
"signature": "def __get__(self, obj, owner)"
},
{
"docstring": "Gets the text of the... | 3 | stack_v2_sparse_classes_30k_train_015967 | Implement the Python class `BasePageElement` described below.
Class description:
Base page class that is initialized on every page object class.
Method signatures and docstrings:
- def __set__(self, obj, value): Sets the text to the value supplied
- def __get__(self, obj, owner): Gets the text of the specified object... | Implement the Python class `BasePageElement` described below.
Class description:
Base page class that is initialized on every page object class.
Method signatures and docstrings:
- def __set__(self, obj, value): Sets the text to the value supplied
- def __get__(self, obj, owner): Gets the text of the specified object... | 2b08d3cc153f0ebdd6272a17962e1601390391c5 | <|skeleton|>
class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
<|body_0|>
def __get__(self, obj, owner):
"""Gets the text of the specified object"""
<|body_1|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BasePageElement:
"""Base page class that is initialized on every page object class."""
def __set__(self, obj, value):
"""Sets the text to the value supplied"""
driver = obj.driver
WebDriverWait(driver, 100).until(lambda driver: driver.find_element(*self.locator))
driver.fi... | the_stack_v2_python_sparse | sbt/selenium/pages/element.py | jinnymus/Python | train | 0 |
a2458abae27c79116134293130c98e820dfd3f37 | [
"if model._meta.app_label == self.app_label:\n return get_audit_db()\nreturn None",
"if model._meta.app_label == self.app_label:\n return get_audit_db()\nreturn None",
"if obj1._meta.app_label == self.app_label or obj2._meta.app_label == self.app_label:\n return False\nreturn None",
"if app_label == ... | <|body_start_0|>
if model._meta.app_label == self.app_label:
return get_audit_db()
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label == self.app_label:
return get_audit_db()
return None
<|end_body_1|>
<|body_start_2|>
if obj1._meta.app... | A router to control all database operations on models in the audit application. | AuditRouter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuditRouter:
"""A router to control all database operations on models in the audit application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to audit."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write auth ... | stack_v2_sparse_classes_36k_train_020535 | 1,966 | permissive | [
{
"docstring": "Attempts to read auth models go to audit.",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Attempts to write auth models go to audit.",
"name": "db_for_write",
"signature": "def db_for_write(self, model, **hints)"
},
{
... | 4 | null | Implement the Python class `AuditRouter` described below.
Class description:
A router to control all database operations on models in the audit application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to audit.
- def db_for_write(self, model, **hints): At... | Implement the Python class `AuditRouter` described below.
Class description:
A router to control all database operations on models in the audit application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to audit.
- def db_for_write(self, model, **hints): At... | 33c8f4ffe8697081abcfc5771b98a88c0578059f | <|skeleton|>
class AuditRouter:
"""A router to control all database operations on models in the audit application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to audit."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write auth ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuditRouter:
"""A router to control all database operations on models in the audit application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to audit."""
if model._meta.app_label == self.app_label:
return get_audit_db()
return None
... | the_stack_v2_python_sparse | saas/backend/audit/routers.py | robert871126/bk-iam-saas | train | 0 |
0dbd7c11be62197540c652848ca26a367fbb1505 | [
"cls.dirname = os.path.abspath(os.path.join(os.path.dirname(__file__), 'temp'))\nos.makedirs(os.path.join(cls.dirname, 'pdep'))\ntest_family = 'R_Recombination'\ncls.rmg = RMG()\nfrom rmgpy.rmg.input import set_global_rmg, pressure_dependence\nset_global_rmg(cls.rmg)\npressure_dependence(method='modified strong col... | <|body_start_0|>
cls.dirname = os.path.abspath(os.path.join(os.path.dirname(__file__), 'temp'))
os.makedirs(os.path.join(cls.dirname, 'pdep'))
test_family = 'R_Recombination'
cls.rmg = RMG()
from rmgpy.rmg.input import set_global_rmg, pressure_dependence
set_global_rmg(cl... | Contains unit tests for CoreEdgeReactionModel.enlarge. | TestEnlarge | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestEnlarge:
"""Contains unit tests for CoreEdgeReactionModel.enlarge."""
def setUpClass(cls):
"""A method that is run ONCE before all unit tests in this class."""
<|body_0|>
def test_enlarge_1_add_nonreactive_species(self):
"""Test that we can add a nonreactive ... | stack_v2_sparse_classes_36k_train_020536 | 34,780 | permissive | [
{
"docstring": "A method that is run ONCE before all unit tests in this class.",
"name": "setUpClass",
"signature": "def setUpClass(cls)"
},
{
"docstring": "Test that we can add a nonreactive species to CERM",
"name": "test_enlarge_1_add_nonreactive_species",
"signature": "def test_enlar... | 6 | stack_v2_sparse_classes_30k_train_019168 | Implement the Python class `TestEnlarge` described below.
Class description:
Contains unit tests for CoreEdgeReactionModel.enlarge.
Method signatures and docstrings:
- def setUpClass(cls): A method that is run ONCE before all unit tests in this class.
- def test_enlarge_1_add_nonreactive_species(self): Test that we c... | Implement the Python class `TestEnlarge` described below.
Class description:
Contains unit tests for CoreEdgeReactionModel.enlarge.
Method signatures and docstrings:
- def setUpClass(cls): A method that is run ONCE before all unit tests in this class.
- def test_enlarge_1_add_nonreactive_species(self): Test that we c... | 349a4af759cf8877197772cd7eaca1e51d46eff5 | <|skeleton|>
class TestEnlarge:
"""Contains unit tests for CoreEdgeReactionModel.enlarge."""
def setUpClass(cls):
"""A method that is run ONCE before all unit tests in this class."""
<|body_0|>
def test_enlarge_1_add_nonreactive_species(self):
"""Test that we can add a nonreactive ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestEnlarge:
"""Contains unit tests for CoreEdgeReactionModel.enlarge."""
def setUpClass(cls):
"""A method that is run ONCE before all unit tests in this class."""
cls.dirname = os.path.abspath(os.path.join(os.path.dirname(__file__), 'temp'))
os.makedirs(os.path.join(cls.dirname, ... | the_stack_v2_python_sparse | rmgpy/rmg/modelTest.py | CanePan-cc/CanePanWorkshop | train | 2 |
c085289f31151cb3b8ae782250141b9d4c00732e | [
"context = super().get_context_data(**kwargs)\ncontext['n_responses'] = len(context['study'].responses.all())\nreturn context",
"output, writer = self.csv_output_and_writer()\nwriter.writerow(self.get_csv_participant_headers())\nfor resp in responses:\n writer.writerow(self.build_csv_participant_row_data(resp)... | <|body_start_0|>
context = super().get_context_data(**kwargs)
context['n_responses'] = len(context['study'].responses.all())
return context
<|end_body_0|>
<|body_start_1|>
output, writer = self.csv_output_and_writer()
writer.writerow(self.get_csv_participant_headers())
f... | StudyParticiapnts view shows participant demographic snapshots associated with each response to the study | StudyDemographics | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StudyDemographics:
"""StudyParticiapnts view shows participant demographic snapshots associated with each response to the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
... | stack_v2_sparse_classes_36k_train_020537 | 34,217 | permissive | [
{
"docstring": "In addition to the study, adds several items to the context dictionary. Study results are paginated.",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Builds CSV file contents for all participant data",
"name": "build_all_par... | 2 | stack_v2_sparse_classes_30k_train_013956 | Implement the Python class `StudyDemographics` described below.
Class description:
StudyParticiapnts view shows participant demographic snapshots associated with each response to the study
Method signatures and docstrings:
- def get_context_data(self, **kwargs): In addition to the study, adds several items to the con... | Implement the Python class `StudyDemographics` described below.
Class description:
StudyParticiapnts view shows participant demographic snapshots associated with each response to the study
Method signatures and docstrings:
- def get_context_data(self, **kwargs): In addition to the study, adds several items to the con... | 621fbb8b25100a21fd94721d39003b5d4f651dc5 | <|skeleton|>
class StudyDemographics:
"""StudyParticiapnts view shows participant demographic snapshots associated with each response to the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StudyDemographics:
"""StudyParticiapnts view shows participant demographic snapshots associated with each response to the study"""
def get_context_data(self, **kwargs):
"""In addition to the study, adds several items to the context dictionary. Study results are paginated."""
context = sup... | the_stack_v2_python_sparse | exp/views/study.py | enrobyn/lookit-api | train | 0 |
f0cfb79a09fd6655c4c3315f0183587bf9251ec9 | [
"if self.payment is None:\n return str(uuid.uuid4())\ndate_str = self.payment.creation_time.strftime('%Y%m%d')\nif self.payment.item.event.activity_types:\n activity_str = self.payment.item.event.activity_types[0].trigram\nelse:\n activity_str = 'NCL'\nrolling_id = self.payment.id % 10000\nreturn f'CAF{dat... | <|body_start_0|>
if self.payment is None:
return str(uuid.uuid4())
date_str = self.payment.creation_time.strftime('%Y%m%d')
if self.payment.item.event.activity_types:
activity_str = self.payment.item.event.activity_types[0].trigram
else:
activity_str =... | Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object | OrderInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrderInfo:
"""Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object"""
def unique_ref(self):
""":return: An unique reference for the order :rtype: string"""
<|body_0|>
def private_data(se... | stack_v2_sparse_classes_36k_train_020538 | 22,232 | no_license | [
{
"docstring": ":return: An unique reference for the order :rtype: string",
"name": "unique_ref",
"signature": "def unique_ref(self)"
},
{
"docstring": ":return: Metadata in the Payline key-value list format :rtype: dict",
"name": "private_data",
"signature": "def private_data(self)"
}... | 3 | null | Implement the Python class `OrderInfo` described below.
Class description:
Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object
Method signatures and docstrings:
- def unique_ref(self): :return: An unique reference for the order :rty... | Implement the Python class `OrderInfo` described below.
Class description:
Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object
Method signatures and docstrings:
- def unique_ref(self): :return: An unique reference for the order :rty... | 1ae05ae9029a28fd0656c06a2092f67a87a93dcd | <|skeleton|>
class OrderInfo:
"""Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object"""
def unique_ref(self):
""":return: An unique reference for the order :rtype: string"""
<|body_0|>
def private_data(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OrderInfo:
"""Class describing an order for a payment request. Will usually be constructed from a :py:class:`collectives.models.payment.Payment` object"""
def unique_ref(self):
""":return: An unique reference for the order :rtype: string"""
if self.payment is None:
return str(... | the_stack_v2_python_sparse | collectives/utils/payline.py | Club-Alpin-Annecy/collectives | train | 12 |
a9747ce41ff499347bf66d2de1eadd68e0cacc14 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn AdministrativeUnit()",
"from .directory_object import DirectoryObject\nfrom .extension import Extension\nfrom .scoped_role_membership import ScopedRoleMembership\nfrom .directory_object import DirectoryObject\nfrom .extension import Ex... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return AdministrativeUnit()
<|end_body_0|>
<|body_start_1|>
from .directory_object import DirectoryObject
from .extension import Extension
from .scoped_role_membership import ScopedRole... | AdministrativeUnit | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdministrativeUnit:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AdministrativeUnit:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the obje... | stack_v2_sparse_classes_36k_train_020539 | 4,322 | 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: AdministrativeUnit",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_... | 3 | null | Implement the Python class `AdministrativeUnit` described below.
Class description:
Implement the AdministrativeUnit class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AdministrativeUnit: Creates a new instance of the appropriate class based on disc... | Implement the Python class `AdministrativeUnit` described below.
Class description:
Implement the AdministrativeUnit class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AdministrativeUnit: Creates a new instance of the appropriate class based on disc... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class AdministrativeUnit:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AdministrativeUnit:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the obje... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdministrativeUnit:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AdministrativeUnit:
"""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: Ad... | the_stack_v2_python_sparse | msgraph/generated/models/administrative_unit.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
618866b1cb47aff3e7ff182ccdf645c7e702c96c | [
"self.assertIn(simulation(1, 1000).outcome(), [0, 2000])\nself.assertIn(simulation(10, 100).outcome(), list(range(0, 2002, 200)))\nself.assertIn(simulation(100, 10).outcome(), list(range(0, 2002, 20)))\nself.assertIn(simulation(1000, 1).outcome(), list(range(0, 2001, 2)))\nself.assertEqual(len(simulation(1000, 1).o... | <|body_start_0|>
self.assertIn(simulation(1, 1000).outcome(), [0, 2000])
self.assertIn(simulation(10, 100).outcome(), list(range(0, 2002, 200)))
self.assertIn(simulation(100, 10).outcome(), list(range(0, 2002, 20)))
self.assertIn(simulation(1000, 1).outcome(), list(range(0, 2001, 2)))
... | Test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test:
def test_simulation(self):
"""Test the simulation class"""
<|body_0|>
def test_reading_in(self):
"""Test the reading_in function"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.assertIn(simulation(1, 1000).outcome(), [0, 2000])
se... | stack_v2_sparse_classes_36k_train_020540 | 1,256 | no_license | [
{
"docstring": "Test the simulation class",
"name": "test_simulation",
"signature": "def test_simulation(self)"
},
{
"docstring": "Test the reading_in function",
"name": "test_reading_in",
"signature": "def test_reading_in(self)"
}
] | 2 | null | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_simulation(self): Test the simulation class
- def test_reading_in(self): Test the reading_in function | Implement the Python class `Test` described below.
Class description:
Implement the Test class.
Method signatures and docstrings:
- def test_simulation(self): Test the simulation class
- def test_reading_in(self): Test the reading_in function
<|skeleton|>
class Test:
def test_simulation(self):
"""Test t... | 5b904060e8bced7f91547ad7f7819773a7450a1e | <|skeleton|>
class Test:
def test_simulation(self):
"""Test the simulation class"""
<|body_0|>
def test_reading_in(self):
"""Test the reading_in function"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test:
def test_simulation(self):
"""Test the simulation class"""
self.assertIn(simulation(1, 1000).outcome(), [0, 2000])
self.assertIn(simulation(10, 100).outcome(), list(range(0, 2002, 200)))
self.assertIn(simulation(100, 10).outcome(), list(range(0, 2002, 20)))
self.a... | the_stack_v2_python_sparse | nw1045/unittest_assignmemt8.py | ds-ga-1007/assignment8 | train | 1 | |
ba6fd91c54e210ed43e57d736d374dae86e6042c | [
"if cache is None:\n cache = cmsis_pack_manager.Cache(True, True)\nresults = []\nfor pack in cache.packs_for_devices(cache.index.values()):\n pack_path = os.path.join(cache.data_path, pack.get_pack_name())\n if os.path.isfile(pack_path):\n results.append(pack)\nreturn results",
"if cache is None:\... | <|body_start_0|>
if cache is None:
cache = cmsis_pack_manager.Cache(True, True)
results = []
for pack in cache.packs_for_devices(cache.index.values()):
pack_path = os.path.join(cache.data_path, pack.get_pack_name())
if os.path.isfile(pack_path):
... | @brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified by the user. | ManagedPacksImpl | [
"CC-BY-4.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ManagedPacksImpl:
"""@brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified by the user."""
def get_installed... | stack_v2_sparse_classes_36k_train_020541 | 29,452 | permissive | [
{
"docstring": "@brief Return a list containing CmsisPackRef objects for all installed packs.",
"name": "get_installed_packs",
"signature": "def get_installed_packs(cache: Optional[cmsis_pack_manager.Cache]=None) -> List[CmsisPackRef]"
},
{
"docstring": "@brief Return a list of CmsisPackDevice o... | 3 | stack_v2_sparse_classes_30k_train_012501 | Implement the Python class `ManagedPacksImpl` described below.
Class description:
@brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified... | Implement the Python class `ManagedPacksImpl` described below.
Class description:
@brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified... | 9253740baf46ebf4eacbce6bf3369150c5fb8ee0 | <|skeleton|>
class ManagedPacksImpl:
"""@brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified by the user."""
def get_installed... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ManagedPacksImpl:
"""@brief Namespace for managed CMSIS-Pack utilities. By managed, we mean managed by the cmsis-pack-manager package. All the methods on this class apply only to those packs managed by cmsis-pack-manager, not any targets from packs specified by the user."""
def get_installed_packs(cache:... | the_stack_v2_python_sparse | pyocd/target/pack/pack_target.py | pyocd/pyOCD | train | 507 |
e1e9a58806b4339173f4503debdf3701940bb642 | [
"threading.Thread.__init__(self)\nself.mail_server = mail_server\nself.mail_address = mail_address\nself.str_from = str_from\nself.str_subject = str_subject\nself.str_to = str_to\nself.str_msg = str_msg\nself.callbacks = callbacks",
"logging.debug('Starting thread')\nsuccess = False\ntry:\n logging.info('Sendi... | <|body_start_0|>
threading.Thread.__init__(self)
self.mail_server = mail_server
self.mail_address = mail_address
self.str_from = str_from
self.str_subject = str_subject
self.str_to = str_to
self.str_msg = str_msg
self.callbacks = callbacks
<|end_body_0|>
... | MailSenderThread | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MailSenderThread:
def __init__(self, mail_server, mail_address, str_from, str_subject, str_to, str_msg, callbacks=[]):
"""Initializes the thread :param mail_server: The server :param mail_address: The email address :param str_from: From address :param str_subject: The Subject :param str_... | stack_v2_sparse_classes_36k_train_020542 | 5,713 | no_license | [
{
"docstring": "Initializes the thread :param mail_server: The server :param mail_address: The email address :param str_from: From address :param str_subject: The Subject :param str_to: To address :param str_msg: The message :param callbacks: List of callbacks",
"name": "__init__",
"signature": "def __i... | 2 | stack_v2_sparse_classes_30k_train_001342 | Implement the Python class `MailSenderThread` described below.
Class description:
Implement the MailSenderThread class.
Method signatures and docstrings:
- def __init__(self, mail_server, mail_address, str_from, str_subject, str_to, str_msg, callbacks=[]): Initializes the thread :param mail_server: The server :param ... | Implement the Python class `MailSenderThread` described below.
Class description:
Implement the MailSenderThread class.
Method signatures and docstrings:
- def __init__(self, mail_server, mail_address, str_from, str_subject, str_to, str_msg, callbacks=[]): Initializes the thread :param mail_server: The server :param ... | e586760a3a4899cf85367f85d7895ed3bf765f60 | <|skeleton|>
class MailSenderThread:
def __init__(self, mail_server, mail_address, str_from, str_subject, str_to, str_msg, callbacks=[]):
"""Initializes the thread :param mail_server: The server :param mail_address: The email address :param str_from: From address :param str_subject: The Subject :param str_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MailSenderThread:
def __init__(self, mail_server, mail_address, str_from, str_subject, str_to, str_msg, callbacks=[]):
"""Initializes the thread :param mail_server: The server :param mail_address: The email address :param str_from: From address :param str_subject: The Subject :param str_to: To address... | the_stack_v2_python_sparse | src/sender/mail/MailBot.py | RaspiSurveillance/Raspi-Surveillance | train | 0 | |
4b3edcd6fafe2174ab0f19bb94e4d075b116fbe7 | [
"super(ranker, self).__init__()\nself.scoring_function = scoring_function\nself.all_kb = all_kb\nself.knowns_o = {}\nself.knowns_s = {}\nfor fact in self.all_kb.facts:\n if (fact[0], fact[1]) not in self.knowns_o:\n self.knowns_o[fact[0], fact[1]] = set()\n self.knowns_o[fact[0], fact[1]].add(fact[2])\... | <|body_start_0|>
super(ranker, self).__init__()
self.scoring_function = scoring_function
self.all_kb = all_kb
self.knowns_o = {}
self.knowns_s = {}
for fact in self.all_kb.facts:
if (fact[0], fact[1]) not in self.knowns_o:
self.knowns_o[fact[0]... | A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.py | ranker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ranker:
"""A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.py"""
def __init__(self, scoring_f... | stack_v2_sparse_classes_36k_train_020543 | 11,823 | no_license | [
{
"docstring": "The initializer :param scoring_function: The model function to used to rank the entities :param all_kb: A union of all the knowledge bases (train/test/valid)",
"name": "__init__",
"signature": "def __init__(self, scoring_function, all_kb)"
},
{
"docstring": "computes and returns ... | 3 | stack_v2_sparse_classes_30k_train_008916 | Implement the Python class `ranker` described below.
Class description:
A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.... | Implement the Python class `ranker` described below.
Class description:
A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.... | 81e6f1ea24968303a6c426f704228e8618966f6a | <|skeleton|>
class ranker:
"""A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.py"""
def __init__(self, scoring_f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ranker:
"""A network that ranks entities based on a scoring function. It excludes entities that have already been seen in any kb to compute the ranking as in ####### cite paper here ########. It can be constructed from any scoring function/model from models.py"""
def __init__(self, scoring_function, all_... | the_stack_v2_python_sparse | combined/type_complex/evaluate.py | YerayL/IterefinE | train | 0 |
683d76c9c33929407a4d8707b24e793daeefe1cc | [
"ret = 0\nD = defaultdict(lambda: defaultdict(int))\nfor i in range(len(A)):\n for j in range(i):\n d = A[i] - A[j]\n D[i][d] += 1 + D[j][d]\n if D[j][d] > 0:\n ret += D[j][d]\nreturn ret",
"ret = 0\nD = defaultdict(lambda: defaultdict(int))\nfor i in range(len(A)):\n for j i... | <|body_start_0|>
ret = 0
D = defaultdict(lambda: defaultdict(int))
for i in range(len(A)):
for j in range(i):
d = A[i] - A[j]
D[i][d] += 1 + D[j][d]
if D[j][d] > 0:
ret += D[j][d]
return ret
<|end_body_0|>
<... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numberOfArithmeticSlices(self, A):
"""Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequence ending at A[i], with delta d result would be sum( D[i][d] if >= 3 consecutive subsequence A[... | stack_v2_sparse_classes_36k_train_020544 | 1,999 | permissive | [
{
"docstring": "Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequence ending at A[i], with delta d result would be sum( D[i][d] if >= 3 consecutive subsequence A[i], A[j], A[k] ... for some j, k ) summing D[j][d] rather th... | 2 | stack_v2_sparse_classes_30k_train_011186 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numberOfArithmeticSlices(self, A): Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numberOfArithmeticSlices(self, A): Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequ... | cbbd4a67ab342ada2421e13f82d660b1d47d4d20 | <|skeleton|>
class Solution:
def numberOfArithmeticSlices(self, A):
"""Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequence ending at A[i], with delta d result would be sum( D[i][d] if >= 3 consecutive subsequence A[... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numberOfArithmeticSlices(self, A):
"""Subsequence, count the number, looks like dp use defaultdict for easy dp array construction D[i][d] stores the number of arithmetic subsequence ending at A[i], with delta d result would be sum( D[i][d] if >= 3 consecutive subsequence A[i], A[j], A[k]... | the_stack_v2_python_sparse | 446 Arithmetic Slices II - Subsequence.py | Aminaba123/LeetCode | train | 1 | |
a928350ecea8bcbda0e68aca57199c8fd884109a | [
"val_list = []\n\ndef inorderTransverse(root):\n if root:\n inorderTransverse(root.left)\n val_list.append(root.val)\n inorderTransverse(root.right)\n return\ninorderTransverse(root)\nfor i in range(len(val_list) - 1):\n if val_list[i + 1] <= val_list[i]:\n return False\nreturn ... | <|body_start_0|>
val_list = []
def inorderTransverse(root):
if root:
inorderTransverse(root.left)
val_list.append(root.val)
inorderTransverse(root.right)
return
inorderTransverse(root)
for i in range(len(val_list) -... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isValidBST_1(self, root: TreeNode) -> bool:
"""1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......"""
<|body_0|>
def isValidBST(self, root: TreeNode) -> bool:
"""2.迭代 KEY: 上下限制，右子树最小值大于根，左子树最大值小于根"""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_36k_train_020545 | 2,503 | no_license | [
{
"docstring": "1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......",
"name": "isValidBST_1",
"signature": "def isValidBST_1(self, root: TreeNode) -> bool"
},
{
"docstring": "2.迭代 KEY: 上下限制，右子树最小值大于根，左子树最大值小于根",
"name": "isValidBST",
"signature": "def isValidBST(self, root: Tree... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST_1(self, root: TreeNode) -> bool: 1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......
- def isValidBST(self, root: TreeNode) -> bool: 2.迭代 KEY: 上下限制，右子树最小值... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isValidBST_1(self, root: TreeNode) -> bool: 1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......
- def isValidBST(self, root: TreeNode) -> bool: 2.迭代 KEY: 上下限制，右子树最小值... | 4732fb80710a08a715c3e7080c394f5298b8326d | <|skeleton|>
class Solution:
def isValidBST_1(self, root: TreeNode) -> bool:
"""1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......"""
<|body_0|>
def isValidBST(self, root: TreeNode) -> bool:
"""2.迭代 KEY: 上下限制，右子树最小值大于根，左子树最大值小于根"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def isValidBST_1(self, root: TreeNode) -> bool:
"""1. 中序遍历创建值的列表，判断值列表是否递增 直接递归比较左、根、右，结果不正确，右子树所有点的值要大于根......"""
val_list = []
def inorderTransverse(root):
if root:
inorderTransverse(root.left)
val_list.append(root.val)
... | the_stack_v2_python_sparse | .leetcode/98.验证二叉搜索树.py | xiaoruijiang/algorithm | train | 0 | |
498349361381e88270775de2cdbd57bdc27e37bf | [
"self.patients = {}\nself.audit_time = []\nself.audit_beds = []\nself.bed_count = 0\nself.admissions = 0\nreturn",
"self.audit_time.append(time)\nself.audit_beds.append(self.bed_count)\nreturn",
"self.audit_report = pd.DataFrame()\nself.audit_report['Time'] = self.audit_time\nself.audit_report['Occupied_beds'] ... | <|body_start_0|>
self.patients = {}
self.audit_time = []
self.audit_beds = []
self.bed_count = 0
self.admissions = 0
return
<|end_body_0|>
<|body_start_1|>
self.audit_time.append(time)
self.audit_beds.append(self.bed_count)
return
<|end_body_1|>
... | Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of beds occupied build_audit_report: builds audit report at end of run (calcul... | Hospital | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Hospital:
"""Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of beds occupied build_audit_report: build... | stack_v2_sparse_classes_36k_train_020546 | 11,444 | no_license | [
{
"docstring": "Constructor method for hospital class\" Initialise object with attributes.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Audit method. When called appends current simulation time to audit_time list, and appends current bed count to audit_beds.",
"... | 4 | null | Implement the Python class `Hospital` described below.
Class description:
Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of ... | Implement the Python class `Hospital` described below.
Class description:
Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of ... | b16f2b16f161cd68e0532e7a3381518e0d565bdf | <|skeleton|>
class Hospital:
"""Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of beds occupied build_audit_report: build... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Hospital:
"""Hospital class holds: 1) Dictionary of patients present 2) List of audit times 3) List of beds occupied at each audit time 4) Current total beds occupied 5) Admissions to data Methods: __init__: Set up hospital instance audit: records number of beds occupied build_audit_report: builds audit repor... | the_stack_v2_python_sparse | py_files/0087_bed_occupancy_object_based.py | tospolkaw/CloanGit_PythonHealthcare | train | 1 |
6efc94643b8ebcc6085981e46cf71eac3c74abb8 | [
"if id is not None:\n self.id = id\nelse:\n Base.__nb_objects += 1\n self.id = Base.__nb_objects",
"if list_dictionaries is None or not list_dictionaries:\n return '[]'\nreturn json.dumps(list_dictionaries)",
"dictobj_list = []\nfor obj in list_objs:\n dictobj_list.append(obj.to_dictionary())\nst... | <|body_start_0|>
if id is not None:
self.id = id
else:
Base.__nb_objects += 1
self.id = Base.__nb_objects
<|end_body_0|>
<|body_start_1|>
if list_dictionaries is None or not list_dictionaries:
return '[]'
return json.dumps(list_dictionarie... | Class called base with different methods that have an effect on subclasses when called. | Base | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base:
"""Class called base with different methods that have an effect on subclasses when called."""
def __init__(self, id=None):
"""defining a cls constructor with private cls attribute. (Task 1)"""
<|body_0|>
def to_json_string(list_dictionaries):
"""return the ... | stack_v2_sparse_classes_36k_train_020547 | 2,226 | no_license | [
{
"docstring": "defining a cls constructor with private cls attribute. (Task 1)",
"name": "__init__",
"signature": "def __init__(self, id=None)"
},
{
"docstring": "return the json representation of list_dictionaries. (Task 15)",
"name": "to_json_string",
"signature": "def to_json_string(... | 6 | stack_v2_sparse_classes_30k_train_014888 | Implement the Python class `Base` described below.
Class description:
Class called base with different methods that have an effect on subclasses when called.
Method signatures and docstrings:
- def __init__(self, id=None): defining a cls constructor with private cls attribute. (Task 1)
- def to_json_string(list_dicti... | Implement the Python class `Base` described below.
Class description:
Class called base with different methods that have an effect on subclasses when called.
Method signatures and docstrings:
- def __init__(self, id=None): defining a cls constructor with private cls attribute. (Task 1)
- def to_json_string(list_dicti... | 239ff141e6d82cf9fcbcdab355bdf2cb283b9f13 | <|skeleton|>
class Base:
"""Class called base with different methods that have an effect on subclasses when called."""
def __init__(self, id=None):
"""defining a cls constructor with private cls attribute. (Task 1)"""
<|body_0|>
def to_json_string(list_dictionaries):
"""return the ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Base:
"""Class called base with different methods that have an effect on subclasses when called."""
def __init__(self, id=None):
"""defining a cls constructor with private cls attribute. (Task 1)"""
if id is not None:
self.id = id
else:
Base.__nb_objects +=... | the_stack_v2_python_sparse | 0x0C-python-almost_a_circle/models/base.py | seleniadelgado/holbertonschool-higher_level_programming | train | 0 |
e9a89339d188544f0e198c1ed82ad35310706633 | [
"if not head:\n return head\nroot = head\nlast = None\nwhile root:\n if root.val >= x:\n break\n last = root\n root = root.next\nflag = True\nif not last:\n last = ListNode(1)\n last.next = root\n head = last\n flag = False\nif not root:\n return head\nfast = root.next\nwhile fast:... | <|body_start_0|>
if not head:
return head
root = head
last = None
while root:
if root.val >= x:
break
last = root
root = root.next
flag = True
if not last:
last = ListNode(1)
last.next... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _partition(self, head, x):
""":type head: ListNode :type x: int :rtype: ListNode"""
<|body_0|>
def partition(self, head, x):
""":type head: ListNode :type x: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not h... | stack_v2_sparse_classes_36k_train_020548 | 2,870 | permissive | [
{
"docstring": ":type head: ListNode :type x: int :rtype: ListNode",
"name": "_partition",
"signature": "def _partition(self, head, x)"
},
{
"docstring": ":type head: ListNode :type x: int :rtype: ListNode",
"name": "partition",
"signature": "def partition(self, head, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020949 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _partition(self, head, x): :type head: ListNode :type x: int :rtype: ListNode
- def partition(self, head, x): :type head: ListNode :type x: int :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _partition(self, head, x): :type head: ListNode :type x: int :rtype: ListNode
- def partition(self, head, x): :type head: ListNode :type x: int :rtype: ListNode
<|skeleton|>... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _partition(self, head, x):
""":type head: ListNode :type x: int :rtype: ListNode"""
<|body_0|>
def partition(self, head, x):
""":type head: ListNode :type x: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def _partition(self, head, x):
""":type head: ListNode :type x: int :rtype: ListNode"""
if not head:
return head
root = head
last = None
while root:
if root.val >= x:
break
last = root
root = root... | the_stack_v2_python_sparse | 86.partition-list.py | windard/leeeeee | train | 0 | |
ba3fe3891cfaab36da0bf47caaf39ff4a5bf5e1f | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Missing associated documentation comment in .proto file. | ConsensusServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConsensusServicer:
"""Missing associated documentation comment in .proto file."""
def PrePrepare(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def Prepare(self, request, context):
"""Missing associated document... | stack_v2_sparse_classes_36k_train_020549 | 24,581 | no_license | [
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "PrePrepare",
"signature": "def PrePrepare(self, request, context)"
},
{
"docstring": "Missing associated documentation comment in .proto file.",
"name": "Prepare",
"signature": "def Prepare(self, request,... | 3 | stack_v2_sparse_classes_30k_train_017735 | Implement the Python class `ConsensusServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def PrePrepare(self, request, context): Missing associated documentation comment in .proto file.
- def Prepare(self, request, context): Missin... | Implement the Python class `ConsensusServicer` described below.
Class description:
Missing associated documentation comment in .proto file.
Method signatures and docstrings:
- def PrePrepare(self, request, context): Missing associated documentation comment in .proto file.
- def Prepare(self, request, context): Missin... | 345bf7df822c4ae5cd9988ffdedae2fa5c1ffd99 | <|skeleton|>
class ConsensusServicer:
"""Missing associated documentation comment in .proto file."""
def PrePrepare(self, request, context):
"""Missing associated documentation comment in .proto file."""
<|body_0|>
def Prepare(self, request, context):
"""Missing associated document... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConsensusServicer:
"""Missing associated documentation comment in .proto file."""
def PrePrepare(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
... | the_stack_v2_python_sparse | grpc_pb2_grpc.py | isSPDL/SPDL | train | 3 |
bdd16bb6870ea5a9ded39bef95448c15cdc1223b | [
"super(GraphVisualizerTimeline, self).__init__(grid, column_id, column_span)\nfor i in range(column_span):\n self._grid.setColumnStretch(self._column_id + i, 0)",
"painter = QPainter(surface)\nfor connection in self._connected_items:\n start = surface.mapFromGlobal(connection.from_item.get_attach_point_bot(... | <|body_start_0|>
super(GraphVisualizerTimeline, self).__init__(grid, column_id, column_span)
for i in range(column_span):
self._grid.setColumnStretch(self._column_id + i, 0)
<|end_body_0|>
<|body_start_1|>
painter = QPainter(surface)
for connection in self._connected_items:
... | Draw a visual column, compressed by another other column. | GraphVisualizerTimeline | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GraphVisualizerTimeline:
"""Draw a visual column, compressed by another other column."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerTimeline instance."""
<|body_0|>
def draw(self, surface):
"""Draw the surface."""
<... | stack_v2_sparse_classes_36k_train_020550 | 24,840 | permissive | [
{
"docstring": "Initialize a GraphVisualizerTimeline instance.",
"name": "__init__",
"signature": "def __init__(self, grid, column_id, column_span=1)"
},
{
"docstring": "Draw the surface.",
"name": "draw",
"signature": "def draw(self, surface)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004091 | Implement the Python class `GraphVisualizerTimeline` described below.
Class description:
Draw a visual column, compressed by another other column.
Method signatures and docstrings:
- def __init__(self, grid, column_id, column_span=1): Initialize a GraphVisualizerTimeline instance.
- def draw(self, surface): Draw the ... | Implement the Python class `GraphVisualizerTimeline` described below.
Class description:
Draw a visual column, compressed by another other column.
Method signatures and docstrings:
- def __init__(self, grid, column_id, column_span=1): Initialize a GraphVisualizerTimeline instance.
- def draw(self, surface): Draw the ... | bbcf475a4b4e85836123452053bbbf34cc44063a | <|skeleton|>
class GraphVisualizerTimeline:
"""Draw a visual column, compressed by another other column."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerTimeline instance."""
<|body_0|>
def draw(self, surface):
"""Draw the surface."""
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GraphVisualizerTimeline:
"""Draw a visual column, compressed by another other column."""
def __init__(self, grid, column_id, column_span=1):
"""Initialize a GraphVisualizerTimeline instance."""
super(GraphVisualizerTimeline, self).__init__(grid, column_id, column_span)
for i in ra... | the_stack_v2_python_sparse | posydon/visualization/VH_diagram/GraphVisualizer.py | POSYDON-code/POSYDON | train | 11 |
2d9ea30849c73f779073d3bbf02547187151091d | [
"examples, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)\nself.data_train = examples['train']\nself.data_valid = examples['validation']\nself.tokenizer_pt, self.tokenizer_en = self.tokenize_dataset(self.data_train)\n\ndef filter_max_length(x, y, max_len=max_len):\n \"\"\... | <|body_start_0|>
examples, metadata = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)
self.data_train = examples['train']
self.data_valid = examples['validation']
self.tokenizer_pt, self.tokenizer_en = self.tokenize_dataset(self.data_train)
def filte... | Class that loads and preps a dataset for machine translation | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""Class that loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_en tf.data. Dataset train split, loaded as_supervided dat... | stack_v2_sparse_classes_36k_train_020551 | 4,978 | no_license | [
{
"docstring": "Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_en tf.data. Dataset train split, loaded as_supervided data_valid, which contains the ted_hrlr_translate/pt_to_en tf.data. Dataset validate split, loaded as_supervided tokenizer_pt is the Po... | 4 | null | Implement the Python class `Dataset` described below.
Class description:
Class that loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self, batch_size, max_len): Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_... | Implement the Python class `Dataset` described below.
Class description:
Class that loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self, batch_size, max_len): Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_... | e8a98d85b3bfd5665cb04bec9ee8c3eb23d6bd58 | <|skeleton|>
class Dataset:
"""Class that loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_en tf.data. Dataset train split, loaded as_supervided dat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Dataset:
"""Class that loads and preps a dataset for machine translation"""
def __init__(self, batch_size, max_len):
"""Class constructor creates the instance attributes: data_train, which contains the ted_hrlr_translate/pt_to_en tf.data. Dataset train split, loaded as_supervided data_valid, whic... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/3-dataset.py | AndrewMiranda/holbertonschool-machine_learning-1 | train | 0 |
117d59c2f010250d9973533a6fbb26ce12c344c8 | [
"scans = util.parse_multi_range(','.join(command).replace(' ', ','))\nfor scanno in scans:\n yield backend.Job(scan=scanno)",
"super(Input, self).process_job(job)\nscan = job.scan\naaf = numpy.linspace(0, numpy.random.random() * 20, 100)\nadelta = numpy.linspace(0, numpy.random.random() * 20, 100)\naai = numpy... | <|body_start_0|>
scans = util.parse_multi_range(','.join(command).replace(' ', ','))
for scanno in scans:
yield backend.Job(scan=scanno)
<|end_body_0|>
<|body_start_1|>
super(Input, self).process_job(job)
scan = job.scan
aaf = numpy.linspace(0, numpy.random.random() ... | Input | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Input:
def generate_jobs(self, command):
"""Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed independently."""
<|body_0|>
def process_job(self, job):
"""This methods is a ... | stack_v2_sparse_classes_36k_train_020552 | 7,583 | no_license | [
{
"docstring": "Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed independently.",
"name": "generate_jobs",
"signature": "def generate_jobs(self, command)"
},
{
"docstring": "This methods is a generato... | 4 | stack_v2_sparse_classes_30k_train_014361 | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def generate_jobs(self, command): Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed indep... | Implement the Python class `Input` described below.
Class description:
Implement the Input class.
Method signatures and docstrings:
- def generate_jobs(self, command): Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed indep... | 2bc9132fd8ee989272e9dc3fdfa1efd98fa681a0 | <|skeleton|>
class Input:
def generate_jobs(self, command):
"""Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed independently."""
<|body_0|>
def process_job(self, job):
"""This methods is a ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Input:
def generate_jobs(self, command):
"""Command is supplied when the program is started in the terminal. This can used to differentiate between separate datasets that will be processed independently."""
scans = util.parse_multi_range(','.join(command).replace(' ', ','))
for scanno ... | the_stack_v2_python_sparse | binoculars/backends/example.py | picca/binoculars | train | 1 | |
a083cbe7228e4a718f29b96cb6aaa3fad557ec4e | [
"self.pool = []\npre = 0\nfor weight in w:\n self.pool.append(pre + weight)\n pre = self.pool[-1]",
"if not self.pool:\n return -1\nprint(self.pool)\nimport random\nfrom bisect import bisect_left\nchoice = random.uniform(0, self.pool[-1])\nprint(choice)\nresult = bisect_left(self.pool, choice)\nreturn re... | <|body_start_0|>
self.pool = []
pre = 0
for weight in w:
self.pool.append(pre + weight)
pre = self.pool[-1]
<|end_body_0|>
<|body_start_1|>
if not self.pool:
return -1
print(self.pool)
import random
from bisect import bisect_le... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.pool = []
pre = 0
for weight in w:
self.pool.append(pre + weigh... | stack_v2_sparse_classes_36k_train_020553 | 1,317 | no_license | [
{
"docstring": ":type w: List[int]",
"name": "__init__",
"signature": "def __init__(self, w)"
},
{
"docstring": ":rtype: int",
"name": "pickIndex",
"signature": "def pickIndex(self)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int]
- def pickIndex(self): :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int]
- def pickIndex(self): :rtype: int
<|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|... | 11d6bf2ba7b50c07e048df37c4e05c8f46b92241 | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, w):
""":type w: List[int]"""
self.pool = []
pre = 0
for weight in w:
self.pool.append(pre + weight)
pre = self.pool[-1]
def pickIndex(self):
""":rtype: int"""
if not self.pool:
return -1
... | the_stack_v2_python_sparse | LeetCodes/uber/Random Pick with Weight.py | chutianwen/LeetCodes | train | 0 | |
99fab39e856b6fabb354cf7329d606cb571f2d42 | [
"cases = ('string', 1.5)\nfor b in cases:\n with self.subTest(x=b):\n self.assertRaises(TypeError, factorize, b)",
"cases = (-1, -10, -100)\nfor b in cases:\n with self.subTest(x=b):\n self.assertRaises(ValueError, factorize, b)",
"cases = ((0, (0,)), (1, (1,)))\nfor b, a in cases:\n with... | <|body_start_0|>
cases = ('string', 1.5)
for b in cases:
with self.subTest(x=b):
self.assertRaises(TypeError, factorize, b)
<|end_body_0|>
<|body_start_1|>
cases = (-1, -10, -100)
for b in cases:
with self.subTest(x=b):
self.assert... | TestFactorize | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFactorize:
def test_wrong_types_raise_exception(self):
"""типы float и str (значения 'string', 1.5) вызывают исключение TypeError"""
<|body_0|>
def test_negative(self):
"""для отрицательных чисел -1, -10 и -100 вызывается исключение ValueError"""
<|body_1... | stack_v2_sparse_classes_36k_train_020554 | 2,337 | no_license | [
{
"docstring": "типы float и str (значения 'string', 1.5) вызывают исключение TypeError",
"name": "test_wrong_types_raise_exception",
"signature": "def test_wrong_types_raise_exception(self)"
},
{
"docstring": "для отрицательных чисел -1, -10 и -100 вызывается исключение ValueError",
"name":... | 6 | stack_v2_sparse_classes_30k_train_015437 | Implement the Python class `TestFactorize` described below.
Class description:
Implement the TestFactorize class.
Method signatures and docstrings:
- def test_wrong_types_raise_exception(self): типы float и str (значения 'string', 1.5) вызывают исключение TypeError
- def test_negative(self): для отрицательных чисел -... | Implement the Python class `TestFactorize` described below.
Class description:
Implement the TestFactorize class.
Method signatures and docstrings:
- def test_wrong_types_raise_exception(self): типы float и str (значения 'string', 1.5) вызывают исключение TypeError
- def test_negative(self): для отрицательных чисел -... | 0ead3cf3f2fd7ec9a0234092a951328b98da899f | <|skeleton|>
class TestFactorize:
def test_wrong_types_raise_exception(self):
"""типы float и str (значения 'string', 1.5) вызывают исключение TypeError"""
<|body_0|>
def test_negative(self):
"""для отрицательных чисел -1, -10 и -100 вызывается исключение ValueError"""
<|body_1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestFactorize:
def test_wrong_types_raise_exception(self):
"""типы float и str (значения 'string', 1.5) вызывают исключение TypeError"""
cases = ('string', 1.5)
for b in cases:
with self.subTest(x=b):
self.assertRaises(TypeError, factorize, b)
def test_... | the_stack_v2_python_sparse | course2/week1/test_factorize.py | shereshevskiy/coursera_python_specialization | train | 2 | |
427a77aab7bee7ca1fc1aa9d8b5126cc4d11d290 | [
"parser.add_argument('--player', nargs=1, help='Player')\nparser.add_argument('--contest', nargs=1, help='Contest ID', type=int)\nparser.add_argument('--after-date', nargs=1, help='After date', type=convert_to_date)",
"players = Player.objects.all()\ncontest_id = None\nafter_date = None\nif 'player' in opts and o... | <|body_start_0|>
parser.add_argument('--player', nargs=1, help='Player')
parser.add_argument('--contest', nargs=1, help='Contest ID', type=int)
parser.add_argument('--after-date', nargs=1, help='After date', type=convert_to_date)
<|end_body_0|>
<|body_start_1|>
players = Player.objects.... | A command which loads checkins for a player or many players for a given contest. | Command | [
"CC0-1.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""A command which loads checkins for a player or many players for a given contest."""
def add_arguments(self, parser):
"""There are three optional arguments for the command: --player: the user name of the player --contest: the Contest ID --after-date: The date after which t... | stack_v2_sparse_classes_36k_train_020555 | 2,490 | permissive | [
{
"docstring": "There are three optional arguments for the command: --player: the user name of the player --contest: the Contest ID --after-date: The date after which to filter the results",
"name": "add_arguments",
"signature": "def add_arguments(self, parser)"
},
{
"docstring": "Primarily call... | 2 | stack_v2_sparse_classes_30k_train_019609 | Implement the Python class `Command` described below.
Class description:
A command which loads checkins for a player or many players for a given contest.
Method signatures and docstrings:
- def add_arguments(self, parser): There are three optional arguments for the command: --player: the user name of the player --con... | Implement the Python class `Command` described below.
Class description:
A command which loads checkins for a player or many players for a given contest.
Method signatures and docstrings:
- def add_arguments(self, parser): There are three optional arguments for the command: --player: the user name of the player --con... | 96af46ad946e63736f9924cb3b966b0d597254f5 | <|skeleton|>
class Command:
"""A command which loads checkins for a player or many players for a given contest."""
def add_arguments(self, parser):
"""There are three optional arguments for the command: --player: the user name of the player --contest: the Contest ID --after-date: The date after which t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Command:
"""A command which loads checkins for a player or many players for a given contest."""
def add_arguments(self, parser):
"""There are three optional arguments for the command: --player: the user name of the player --contest: the Contest ID --after-date: The date after which to filter the ... | the_stack_v2_python_sparse | beers/management/commands/load_checkins.py | nvembar/onehundredbeers | train | 1 |
d8e3fedf0eec464df47b8c64cd88a591f96f8570 | [
"self.ureg = UnitRegistry()\nself.ureg.define('degC = degK; offset: 273.15 = celsius')\nself.ureg.define('degCS = degK = celsius_step')\nself.ureg.define('degF = 5 / 9 * degK; offset: 255.372222 = fahrenheit')\nself.ureg.define('degFS = 5 / 9 * degK; offset: 0 = fahrenheit_step')\nself.ureg.define('hPa = 100 * Pa =... | <|body_start_0|>
self.ureg = UnitRegistry()
self.ureg.define('degC = degK; offset: 273.15 = celsius')
self.ureg.define('degCS = degK = celsius_step')
self.ureg.define('degF = 5 / 9 * degK; offset: 255.372222 = fahrenheit')
self.ureg.define('degFS = 5 / 9 * degK; offset: 0 = fahre... | Conversion | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conversion:
def __init__(self):
"""Setup conversion properties"""
<|body_0|>
def convert(self, value_orig: float, unit_orig: str, unit_conv: str, step: bool=False):
"""Performs unit conversions on all values. :param value_orig: original sensor value :param unit_orig:... | stack_v2_sparse_classes_36k_train_020556 | 3,372 | no_license | [
{
"docstring": "Setup conversion properties",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Performs unit conversions on all values. :param value_orig: original sensor value :param unit_orig: original unit :param unit_conv: target unit :param step: ignore unit conversi... | 2 | stack_v2_sparse_classes_30k_train_003362 | Implement the Python class `Conversion` described below.
Class description:
Implement the Conversion class.
Method signatures and docstrings:
- def __init__(self): Setup conversion properties
- def convert(self, value_orig: float, unit_orig: str, unit_conv: str, step: bool=False): Performs unit conversions on all val... | Implement the Python class `Conversion` described below.
Class description:
Implement the Conversion class.
Method signatures and docstrings:
- def __init__(self): Setup conversion properties
- def convert(self, value_orig: float, unit_orig: str, unit_conv: str, step: bool=False): Performs unit conversions on all val... | 23ccfa2b39c0f6fdba5024804ee93dd3e8bc3055 | <|skeleton|>
class Conversion:
def __init__(self):
"""Setup conversion properties"""
<|body_0|>
def convert(self, value_orig: float, unit_orig: str, unit_conv: str, step: bool=False):
"""Performs unit conversions on all values. :param value_orig: original sensor value :param unit_orig:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Conversion:
def __init__(self):
"""Setup conversion properties"""
self.ureg = UnitRegistry()
self.ureg.define('degC = degK; offset: 273.15 = celsius')
self.ureg.define('degCS = degK = celsius_step')
self.ureg.define('degF = 5 / 9 * degK; offset: 255.372222 = fahrenheit'... | the_stack_v2_python_sparse | python3/shared/conversion.py | JRGInc/Aurora-Base-Station | train | 0 | |
18b8bb37d713cf9dd6a3f7916e23fb55d5a119e2 | [
"super().__init__(app, pipeline, id=id, config=config)\nif isinstance(separator, str):\n separator = separator.encode('utf-8')\nself._separator = separator",
"latch = None\nfor line in f:\n if line.startswith(self._separator) and latch is not None:\n await self.process(latch)\n latch = line\n ... | <|body_start_0|>
super().__init__(app, pipeline, id=id, config=config)
if isinstance(separator, str):
separator = separator.encode('utf-8')
self._separator = separator
<|end_body_0|>
<|body_start_1|>
latch = None
for line in f:
if line.startswith(self._se... | Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine program 22068 - Start of the multiline event 2nd line of the event 3rd line of the even... | FileMultiLineSource | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileMultiLineSource:
"""Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine program 22068 - Start of the multiline e... | stack_v2_sparse_classes_36k_train_020557 | 2,375 | permissive | [
{
"docstring": "Description: **Parameters** app: Application Name of the `Application <https://asab.readthedocs.io/en/latest/asab/application.html>`_ pipeline : Pipeline Name of the Pipeline separator : id : ID, default = None config : JSON, default = None Configuration file with additional information",
"n... | 2 | null | Implement the Python class `FileMultiLineSource` described below.
Class description:
Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine p... | Implement the Python class `FileMultiLineSource` described below.
Class description:
Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine p... | 11ee3689d0ff6e9b662deeb3fc5e18bb0aabc8f2 | <|skeleton|>
class FileMultiLineSource:
"""Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine program 22068 - Start of the multiline e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileMultiLineSource:
"""Description: Read file line by line but try to join multi-line events by separator. Separator is a (fixed) pattern that should present at the begin of the line, if it is a new event. Example: <133>1 2018-03-24T02:37:01+00:00 machine program 22068 - Start of the multiline event 2nd line... | the_stack_v2_python_sparse | bspump/file/filelinesource.py | LibertyAces/BitSwanPump | train | 24 |
733c65661a0cd94f1881009a6c9f808f7d9a6c5f | [
"self.k = k\nself.nums = nums\nself.minheap = nums\nself.maxheap = []\nheapify(self.minheap)\nwhile len(self.minheap) > self.k:\n temp = heappop(self.minheap)\n heappush(self.maxheap, -temp)",
"heappush(self.minheap, val)\nif len(self.minheap) == self.k:\n return self.minheap[0]\nelse:\n temp = heappo... | <|body_start_0|>
self.k = k
self.nums = nums
self.minheap = nums
self.maxheap = []
heapify(self.minheap)
while len(self.minheap) > self.k:
temp = heappop(self.minheap)
heappush(self.maxheap, -temp)
<|end_body_0|>
<|body_start_1|>
heappush(... | KthLargest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.k = k
self.nums = nums
self.minheap =... | stack_v2_sparse_classes_36k_train_020558 | 1,156 | no_license | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000300 | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | 0bffe790e8b860e07dd972a4ce577c222bd6dd10 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.k = k
self.nums = nums
self.minheap = nums
self.maxheap = []
heapify(self.minheap)
while len(self.minheap) > self.k:
temp = heappop(self.minheap)
... | the_stack_v2_python_sparse | Heap/kth_largest_in_a_stream.py | zhenhuiguo1995/Leetcode | train | 1 | |
4eb38b61c274f70a4d176d5b732ce1a770e58cc2 | [
"kwargs = {'model_admin': self, 'parent_pk': instance_pk}\nview_class = AddChildNodeViewClass\nreturn view_class.as_view(**kwargs)(request)",
"urls = super().get_admin_urls_for_registration()\nadd_child_url = re_path(self.url_helper.get_action_url_pattern('add_child'), self.add_child_view, name=self.url_helper.ge... | <|body_start_0|>
kwargs = {'model_admin': self, 'parent_pk': instance_pk}
view_class = AddChildNodeViewClass
return view_class.as_view(**kwargs)(request)
<|end_body_0|>
<|body_start_1|>
urls = super().get_admin_urls_for_registration()
add_child_url = re_path(self.url_helper.get_... | Class for presenting taxonomies in admin using modeladmin. | NodeAdmin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NodeAdmin:
"""Class for presenting taxonomies in admin using modeladmin."""
def add_child_view(self, request, instance_pk):
"""Generate a class-based view to provide 'add child' functionality."""
<|body_0|>
def get_admin_urls_for_registration(self):
"""Add the ne... | stack_v2_sparse_classes_36k_train_020559 | 9,499 | no_license | [
{
"docstring": "Generate a class-based view to provide 'add child' functionality.",
"name": "add_child_view",
"signature": "def add_child_view(self, request, instance_pk)"
},
{
"docstring": "Add the new url for add child page to the registered URLs.",
"name": "get_admin_urls_for_registration... | 2 | stack_v2_sparse_classes_30k_train_017059 | Implement the Python class `NodeAdmin` described below.
Class description:
Class for presenting taxonomies in admin using modeladmin.
Method signatures and docstrings:
- def add_child_view(self, request, instance_pk): Generate a class-based view to provide 'add child' functionality.
- def get_admin_urls_for_registrat... | Implement the Python class `NodeAdmin` described below.
Class description:
Class for presenting taxonomies in admin using modeladmin.
Method signatures and docstrings:
- def add_child_view(self, request, instance_pk): Generate a class-based view to provide 'add child' functionality.
- def get_admin_urls_for_registrat... | b6bd6ecb85b281b03564eef4d7a6f74f59bbd31b | <|skeleton|>
class NodeAdmin:
"""Class for presenting taxonomies in admin using modeladmin."""
def add_child_view(self, request, instance_pk):
"""Generate a class-based view to provide 'add child' functionality."""
<|body_0|>
def get_admin_urls_for_registration(self):
"""Add the ne... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NodeAdmin:
"""Class for presenting taxonomies in admin using modeladmin."""
def add_child_view(self, request, instance_pk):
"""Generate a class-based view to provide 'add child' functionality."""
kwargs = {'model_admin': self, 'parent_pk': instance_pk}
view_class = AddChildNodeVie... | the_stack_v2_python_sparse | taxonomy/models.py | fourfridays/umairabbasi.com | train | 1 |
f3e3c7ee3c40be6de2a4ea5a58a5de658adb59c7 | [
"if not I.PIL_INSTALLED:\n raise Exception('PIL is not installed. Please install with: pip install pillow>=9.0.1')\nsuper().__init__(device=device, quantize=False, min_transformers_version='4.12.3')\nself.model_name = model_name\nfrom transformers import AutoTokenizer, VisionEncoderDecoderModel, ViTFeatureExtrac... | <|body_start_0|>
if not I.PIL_INSTALLED:
raise Exception('PIL is not installed. Please install with: pip install pillow>=9.0.1')
super().__init__(device=device, quantize=False, min_transformers_version='4.12.3')
self.model_name = model_name
from transformers import AutoTokeni... | interface to Image Captioner | ImageCaptioner | [
"Apache-2.0",
"CC-BY-NC-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageCaptioner:
"""interface to Image Captioner"""
def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None):
"""``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): device to use (e.g., 'cuda', 'cpu') ```"""
<|body_0|... | stack_v2_sparse_classes_36k_train_020560 | 2,526 | permissive | [
{
"docstring": "``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): device to use (e.g., 'cuda', 'cpu') ```",
"name": "__init__",
"signature": "def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None)"
},
{
"docstring": "``` Performs im... | 2 | stack_v2_sparse_classes_30k_val_000435 | Implement the Python class `ImageCaptioner` described below.
Class description:
interface to Image Captioner
Method signatures and docstrings:
- def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None): ``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): dev... | Implement the Python class `ImageCaptioner` described below.
Class description:
interface to Image Captioner
Method signatures and docstrings:
- def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None): ``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): dev... | ab03ae68053b727cb8907e08c35f265531d1cb3a | <|skeleton|>
class ImageCaptioner:
"""interface to Image Captioner"""
def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None):
"""``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): device to use (e.g., 'cuda', 'cpu') ```"""
<|body_0|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImageCaptioner:
"""interface to Image Captioner"""
def __init__(self, model_name='ydshieh/vit-gpt2-coco-en', device=None):
"""``` ImageCaptioner constructor Args: model_name(str): name of image captioning model device(str): device to use (e.g., 'cuda', 'cpu') ```"""
if not I.PIL_INSTALLED... | the_stack_v2_python_sparse | ktrain/vision/caption/core.py | amaiya/ktrain | train | 1,217 |
852e6293933abafe62758b5d62e7aca5ed145b4d | [
"self.SimulatorObj = Simulator(netlist)\nself.simul_timeout = self.SimulatorObj.simul_timeout\nself.netlist = self.SimulatorObj.netlist\npass",
"self.assertIsInstance(self.simul_timeout, int)\nself.assertIsInstance(self.netlist, str)\npass"
] | <|body_start_0|>
self.SimulatorObj = Simulator(netlist)
self.simul_timeout = self.SimulatorObj.simul_timeout
self.netlist = self.SimulatorObj.netlist
pass
<|end_body_0|>
<|body_start_1|>
self.assertIsInstance(self.simul_timeout, int)
self.assertIsInstance(self.netlist, s... | TestSimulatorTypes | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSimulatorTypes:
def setUp(self):
"""Setup function TestTypes for class Simulator"""
<|body_0|>
def test_types(self):
"""Function to test data types for class Simulator"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.SimulatorObj = Simulator... | stack_v2_sparse_classes_36k_train_020561 | 823 | permissive | [
{
"docstring": "Setup function TestTypes for class Simulator",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Function to test data types for class Simulator",
"name": "test_types",
"signature": "def test_types(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000352 | Implement the Python class `TestSimulatorTypes` described below.
Class description:
Implement the TestSimulatorTypes class.
Method signatures and docstrings:
- def setUp(self): Setup function TestTypes for class Simulator
- def test_types(self): Function to test data types for class Simulator | Implement the Python class `TestSimulatorTypes` described below.
Class description:
Implement the TestSimulatorTypes class.
Method signatures and docstrings:
- def setUp(self): Setup function TestTypes for class Simulator
- def test_types(self): Function to test data types for class Simulator
<|skeleton|>
class Test... | 825a0eab64be709efe161b9a48eb54c4bc5c1bef | <|skeleton|>
class TestSimulatorTypes:
def setUp(self):
"""Setup function TestTypes for class Simulator"""
<|body_0|>
def test_types(self):
"""Function to test data types for class Simulator"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSimulatorTypes:
def setUp(self):
"""Setup function TestTypes for class Simulator"""
self.SimulatorObj = Simulator(netlist)
self.simul_timeout = self.SimulatorObj.simul_timeout
self.netlist = self.SimulatorObj.netlist
pass
def test_types(self):
"""Functi... | the_stack_v2_python_sparse | VLC_devel/class_structure/__auto_gen__/test_Simulator.py | wenh81/vlc_simulator | train | 0 | |
62e60d22a69fdf46dd89ae54de6d03d550b1e42e | [
"ret = []\n\ndef helper(left_nums, k):\n if k <= 1:\n return [[num] for num in left_nums]\n left_ret = []\n for i in range(len(left_nums)):\n now_num = left_nums[i]\n nums_backup = [num for num in left_nums]\n left_nums.remove(now_num)\n for nums in helper(left_nums, k - ... | <|body_start_0|>
ret = []
def helper(left_nums, k):
if k <= 1:
return [[num] for num in left_nums]
left_ret = []
for i in range(len(left_nums)):
now_num = left_nums[i]
nums_backup = [num for num in left_nums]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def combine1(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_0|>
def combine(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ret = []
de... | stack_v2_sparse_classes_36k_train_020562 | 1,369 | no_license | [
{
"docstring": ":type n: int :type k: int :rtype: List[List[int]]",
"name": "combine1",
"signature": "def combine1(self, n, k)"
},
{
"docstring": ":type n: int :type k: int :rtype: List[List[int]]",
"name": "combine",
"signature": "def combine(self, n, k)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020895 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combine1(self, n, k): :type n: int :type k: int :rtype: List[List[int]]
- def combine(self, n, k): :type n: int :type k: int :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combine1(self, n, k): :type n: int :type k: int :rtype: List[List[int]]
- def combine(self, n, k): :type n: int :type k: int :rtype: List[List[int]]
<|skeleton|>
class Solut... | 22f208400cd7e13fcf2ebf189e61ccad7e22b098 | <|skeleton|>
class Solution:
def combine1(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_0|>
def combine(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def combine1(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
ret = []
def helper(left_nums, k):
if k <= 1:
return [[num] for num in left_nums]
left_ret = []
for i in range(len(left_nums)):
... | the_stack_v2_python_sparse | previously_completed/77-Combinations.py | learnerjiahao/leetcode-solve | train | 0 | |
2f490cd0259de374ac4039d3c6f49e00d8239416 | [
"if not clc.ALIAS:\n Account.GetAccounts()\nreturn clc.ALIAS",
"if not clc.LOCATION:\n Account.GetAccounts()\nreturn clc.LOCATION",
"if not alias:\n alias = Account.GetAlias()\nr = clc.v1.API.Call('post', 'Account/GetAccountDetails', {'AccountAlias': alias})\nif r['Success'] != True:\n if clc.args:\... | <|body_start_0|>
if not clc.ALIAS:
Account.GetAccounts()
return clc.ALIAS
<|end_body_0|>
<|body_start_1|>
if not clc.LOCATION:
Account.GetAccounts()
return clc.LOCATION
<|end_body_1|>
<|body_start_2|>
if not alias:
alias = Account.GetAlias()
... | Account | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Account:
def GetAlias():
"""Return specified alias or if none the alias associated with the provided credentials."""
<|body_0|>
def GetLocation():
"""Return specified location or if none the default location associated with the provided credentials and alias."""
... | stack_v2_sparse_classes_36k_train_020563 | 2,685 | permissive | [
{
"docstring": "Return specified alias or if none the alias associated with the provided credentials.",
"name": "GetAlias",
"signature": "def GetAlias()"
},
{
"docstring": "Return specified location or if none the default location associated with the provided credentials and alias.",
"name":... | 5 | stack_v2_sparse_classes_30k_test_000846 | Implement the Python class `Account` described below.
Class description:
Implement the Account class.
Method signatures and docstrings:
- def GetAlias(): Return specified alias or if none the alias associated with the provided credentials.
- def GetLocation(): Return specified location or if none the default location... | Implement the Python class `Account` described below.
Class description:
Implement the Account class.
Method signatures and docstrings:
- def GetAlias(): Return specified alias or if none the alias associated with the provided credentials.
- def GetLocation(): Return specified location or if none the default location... | b1372d1916e1f21dcb30574a8eaf16239611c732 | <|skeleton|>
class Account:
def GetAlias():
"""Return specified alias or if none the alias associated with the provided credentials."""
<|body_0|>
def GetLocation():
"""Return specified location or if none the default location associated with the provided credentials and alias."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Account:
def GetAlias():
"""Return specified alias or if none the alias associated with the provided credentials."""
if not clc.ALIAS:
Account.GetAccounts()
return clc.ALIAS
def GetLocation():
"""Return specified location or if none the default location associa... | the_stack_v2_python_sparse | src/clc/APIv1/account.py | CenturyLinkCloud/clc-python-sdk | train | 19 | |
3f7722d18caafda79df57c30d09bcebcf97edc67 | [
"self.chooser = Chooser()\nself.config_file = None\nself.config = ConfigObj()\nif config_file is not None:\n self.load(config_file)",
"if self.config is not None and key in self.config:\n return self.config[key]\nelse:\n return None",
"if key not in ['chooser', 'config_file', 'config']:\n if self.co... | <|body_start_0|>
self.chooser = Chooser()
self.config_file = None
self.config = ConfigObj()
if config_file is not None:
self.load(config_file)
<|end_body_0|>
<|body_start_1|>
if self.config is not None and key in self.config:
return self.config[key]
... | Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser attribute as appropriate. If unset, this class will use the default `redux.Chooser`... | Configuration | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Configuration:
"""Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser attribute as appropriate. If unset, this c... | stack_v2_sparse_classes_36k_train_020564 | 4,871 | permissive | [
{
"docstring": "Initialize with an optional configuration file. Parameters ---------- config_file : str or dict-like, optional File path to an INI-format configuration file. May alternately be any object accepted by the ConfigObj constructor (e.g. a dictionary of configuration key-value pairs).",
"name": "_... | 6 | null | Implement the Python class `Configuration` described below.
Class description:
Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser att... | Implement the Python class `Configuration` described below.
Class description:
Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser att... | 493700340cd34d5f319af6f3a562a82135bb30dd | <|skeleton|>
class Configuration:
"""Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser attribute as appropriate. If unset, this c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Configuration:
"""Set Redux configuration. Configuration values are set as attributes of this object, so that they can be accessed as ``config.value``. If the value is not set in the configuration, None will be returned. Subclasses should set the chooser attribute as appropriate. If unset, this class will use... | the_stack_v2_python_sparse | sofia_redux/pipeline/configuration.py | SOFIA-USRA/sofia_redux | train | 12 |
e93e366ca062494ce59a1196eb02a3ae4e63152c | [
"super(ReactorItterative, self).__init__(achem, mols)\nself.maxtime = 0.0\nself.time = 1.0\nif isinstance(rngseed, random.Random):\n self.rng = rngseed\nelse:\n self.rng = random.Random(rngseed)",
"self.maxtime += time\nwhile self.time < self.maxtime:\n self.mols = tuple(self.rng.sample(self.mols, len(se... | <|body_start_0|>
super(ReactorItterative, self).__init__(achem, mols)
self.maxtime = 0.0
self.time = 1.0
if isinstance(rngseed, random.Random):
self.rng = rngseed
else:
self.rng = random.Random(rngseed)
<|end_body_0|>
<|body_start_1|>
self.maxtime... | Reactor object that proceeds one reaction at a time. | ReactorItterative | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReactorItterative:
"""Reactor object that proceeds one reaction at a time."""
def __init__(self, achem, mols, rngseed=None):
""":param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to start from. :param rngseed: Instance of :py:class:`random.Ran... | stack_v2_sparse_classes_36k_train_020565 | 7,950 | permissive | [
{
"docstring": ":param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to start from. :param rngseed: Instance of :py:class:`random.Random` or seed for :py:class:`random.Random`",
"name": "__init__",
"signature": "def __init__(self, achem, mols, rngseed=None)"
},
... | 2 | stack_v2_sparse_classes_30k_val_000341 | Implement the Python class `ReactorItterative` described below.
Class description:
Reactor object that proceeds one reaction at a time.
Method signatures and docstrings:
- def __init__(self, achem, mols, rngseed=None): :param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to star... | Implement the Python class `ReactorItterative` described below.
Class description:
Reactor object that proceeds one reaction at a time.
Method signatures and docstrings:
- def __init__(self, achem, mols, rngseed=None): :param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to star... | 4800044693fdf8a228430eae5ee8b0283fde9920 | <|skeleton|>
class ReactorItterative:
"""Reactor object that proceeds one reaction at a time."""
def __init__(self, achem, mols, rngseed=None):
""":param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to start from. :param rngseed: Instance of :py:class:`random.Ran... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReactorItterative:
"""Reactor object that proceeds one reaction at a time."""
def __init__(self, achem, mols, rngseed=None):
""":param achem: :py:class:`achemkit.achem.AChem` object or equivalent. :param mols: Molecules to start from. :param rngseed: Instance of :py:class:`random.Random` or seed ... | the_stack_v2_python_sparse | achemkit/sim/simple.py | afaulconbridge/PyAChemKit | train | 2 |
4f05aec9c29fa42108bfd87b5fe24172e86b6f6d | [
"n = len(nums)\nmn = 10 ** 10\nfor j in range(n):\n mn = min(mn, nums[j])\n if mn == nums[j]:\n continue\n for k in range(n - 1, j, -1):\n if nums[k] > mn and nums[k] < nums[j]:\n return True\nreturn False",
"n = len(nums)\nst = []\nthird = -10 ** 10\nfor i in range(n - 1, -1, -1... | <|body_start_0|>
n = len(nums)
mn = 10 ** 10
for j in range(n):
mn = min(mn, nums[j])
if mn == nums[j]:
continue
for k in range(n - 1, j, -1):
if nums[k] > mn and nums[k] < nums[j]:
return True
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def find132patternN2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def find132pattern(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
mn = 10 ** 10... | stack_v2_sparse_classes_36k_train_020566 | 2,493 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "find132patternN2",
"signature": "def find132patternN2(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "find132pattern",
"signature": "def find132pattern(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find132patternN2(self, nums): :type nums: List[int] :rtype: bool
- def find132pattern(self, nums): :type nums: List[int] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def find132patternN2(self, nums): :type nums: List[int] :rtype: bool
- def find132pattern(self, nums): :type nums: List[int] :rtype: bool
<|skeleton|>
class Solution:
def f... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def find132patternN2(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def find132pattern(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def find132patternN2(self, nums):
""":type nums: List[int] :rtype: bool"""
n = len(nums)
mn = 10 ** 10
for j in range(n):
mn = min(mn, nums[j])
if mn == nums[j]:
continue
for k in range(n - 1, j, -1):
... | the_stack_v2_python_sparse | 1/132Pattern.py | bssrdf/pyleet | train | 2 | |
980de806b394bb46849606d7e27fdf360354e87e | [
"url = reverse('api-supplier-part-list')\nresponse = self.get(url, {}, expected_code=200)\nself.assertEqual(len(response.data), SupplierPart.objects.count())\nfor supplier in Company.objects.filter(is_supplier=True):\n response = self.get(url, {'supplier': supplier.pk}, expected_code=200)\n self.assertEqual(l... | <|body_start_0|>
url = reverse('api-supplier-part-list')
response = self.get(url, {}, expected_code=200)
self.assertEqual(len(response.data), SupplierPart.objects.count())
for supplier in Company.objects.filter(is_supplier=True):
response = self.get(url, {'supplier': supplier... | Unit tests for the SupplierPart API endpoints | SupplierPartTest | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SupplierPartTest:
"""Unit tests for the SupplierPart API endpoints"""
def test_supplier_part_list(self):
"""Test the SupplierPart API list functionality"""
<|body_0|>
def test_available(self):
"""Tests for updating the 'available' field"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k_train_020567 | 19,439 | permissive | [
{
"docstring": "Test the SupplierPart API list functionality",
"name": "test_supplier_part_list",
"signature": "def test_supplier_part_list(self)"
},
{
"docstring": "Tests for updating the 'available' field",
"name": "test_available",
"signature": "def test_available(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000681 | Implement the Python class `SupplierPartTest` described below.
Class description:
Unit tests for the SupplierPart API endpoints
Method signatures and docstrings:
- def test_supplier_part_list(self): Test the SupplierPart API list functionality
- def test_available(self): Tests for updating the 'available' field | Implement the Python class `SupplierPartTest` described below.
Class description:
Unit tests for the SupplierPart API endpoints
Method signatures and docstrings:
- def test_supplier_part_list(self): Test the SupplierPart API list functionality
- def test_available(self): Tests for updating the 'available' field
<|sk... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class SupplierPartTest:
"""Unit tests for the SupplierPart API endpoints"""
def test_supplier_part_list(self):
"""Test the SupplierPart API list functionality"""
<|body_0|>
def test_available(self):
"""Tests for updating the 'available' field"""
<|body_1|>
<|e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SupplierPartTest:
"""Unit tests for the SupplierPart API endpoints"""
def test_supplier_part_list(self):
"""Test the SupplierPart API list functionality"""
url = reverse('api-supplier-part-list')
response = self.get(url, {}, expected_code=200)
self.assertEqual(len(response... | the_stack_v2_python_sparse | InvenTree/company/test_api.py | inventree/InvenTree | train | 3,077 |
4da9a8d6b9a296b468d24675bdae85aa71eb0f92 | [
"super().__init__(name, data)\nself.poly_deg = poly_deg\nself.spacing = np.diff(data)[0]\nif np.allclose(self.spacing, np.diff(data)) is not True:\n print('Error in computing spacing - points are not evenly spaced!')",
"terms_dict = {self.name: self.data}\npoly_terms = self.generate_poly_terms()\nterms_dict.up... | <|body_start_0|>
super().__init__(name, data)
self.poly_deg = poly_deg
self.spacing = np.diff(data)[0]
if np.allclose(self.spacing, np.diff(data)) is not True:
print('Error in computing spacing - points are not evenly spaced!')
<|end_body_0|>
<|body_start_1|>
terms_d... | Define IndependentVariable class and utility functions. | IndependentVariable | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IndependentVariable:
"""Define IndependentVariable class and utility functions."""
def __init__(self, name: str, data: np.ndarray, poly_deg: int=3):
"""Initialize attributes for independent variables. Keyword arguments: name -- string used to generate descriptors for candidate fn lib... | stack_v2_sparse_classes_36k_train_020568 | 2,726 | permissive | [
{
"docstring": "Initialize attributes for independent variables. Keyword arguments: name -- string used to generate descriptors for candidate fn library data -- numpy array with relevant data for the dependent variable poly_deg -- maximum order polynomial term computed (e.g. a poly_deg of 3 means terms_dict wil... | 3 | stack_v2_sparse_classes_30k_train_019199 | Implement the Python class `IndependentVariable` described below.
Class description:
Define IndependentVariable class and utility functions.
Method signatures and docstrings:
- def __init__(self, name: str, data: np.ndarray, poly_deg: int=3): Initialize attributes for independent variables. Keyword arguments: name --... | Implement the Python class `IndependentVariable` described below.
Class description:
Define IndependentVariable class and utility functions.
Method signatures and docstrings:
- def __init__(self, name: str, data: np.ndarray, poly_deg: int=3): Initialize attributes for independent variables. Keyword arguments: name --... | ac5b2bb4854bb311e4f6f26b180dde87cc10c13d | <|skeleton|>
class IndependentVariable:
"""Define IndependentVariable class and utility functions."""
def __init__(self, name: str, data: np.ndarray, poly_deg: int=3):
"""Initialize attributes for independent variables. Keyword arguments: name -- string used to generate descriptors for candidate fn lib... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IndependentVariable:
"""Define IndependentVariable class and utility functions."""
def __init__(self, name: str, data: np.ndarray, poly_deg: int=3):
"""Initialize attributes for independent variables. Keyword arguments: name -- string used to generate descriptors for candidate fn library data -- ... | the_stack_v2_python_sparse | sindy_bvp/variables/independent_variable.py | AI-and-ML/SINDy-BVP | train | 0 |
b95b137089dccb01f0880d42a17391b41b191dca | [
"if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):\n raise Exception('server_ip和server_port必须同时指定')\nself._server_ip = server_ip\nself._server_port = server_port\nself._service_name = service_name\nself._host = host",
"headers = {'org': org, 'user': user}\nroute_name = ''\nserv... | <|body_start_0|>
if server_ip == '' and server_port != 0 or (server_ip != '' and server_port == 0):
raise Exception('server_ip和server_port必须同时指定')
self._server_ip = server_ip
self._server_port = server_port
self._service_name = service_name
self._host = host
<|end_bod... | DbclientClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DbclientClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和serv... | stack_v2_sparse_classes_36k_train_020569 | 8,137 | permissive | [
{
"docstring": "初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com",
"name": "__ini... | 5 | null | Implement the Python class `DbclientClient` described below.
Class description:
Implement the DbclientClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server... | Implement the Python class `DbclientClient` described below.
Class description:
Implement the DbclientClient class.
Method signatures and docstrings:
- def __init__(self, server_ip='', server_port=0, service_name='', host=''): 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server... | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | <|skeleton|>
class DbclientClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和serv... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DbclientClient:
def __init__(self, server_ip='', server_port=0, service_name='', host=''):
"""初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，s... | the_stack_v2_python_sparse | database_delivery_sdk/api/dbclient/dbclient_client.py | easyopsapis/easyops-api-python | train | 5 | |
a4527586dc3a0203a25b5cb9fc0ae3d4cb2b48cf | [
"super(BCPolicy, self).__init__(seed, brain, trainer_parameters)\nwith self.graph.as_default():\n with self.graph.as_default():\n self.model = BehavioralCloningModel(h_size=int(trainer_parameters['hidden_units']), lr=float(trainer_parameters['learning_rate']), n_layers=int(trainer_parameters['num_layers']... | <|body_start_0|>
super(BCPolicy, self).__init__(seed, brain, trainer_parameters)
with self.graph.as_default():
with self.graph.as_default():
self.model = BehavioralCloningModel(h_size=int(trainer_parameters['hidden_units']), lr=float(trainer_parameters['learning_rate']), n_la... | BCPolicy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BCPolicy:
def __init__(self, seed, brain, trainer_parameters, load):
""":param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. :param load: Whether a pre-trained model will be loaded or a new one created."""
<|body_0... | stack_v2_sparse_classes_36k_train_020570 | 3,647 | permissive | [
{
"docstring": ":param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. :param load: Whether a pre-trained model will be loaded or a new one created.",
"name": "__init__",
"signature": "def __init__(self, seed, brain, trainer_parameters, loa... | 3 | null | Implement the Python class `BCPolicy` described below.
Class description:
Implement the BCPolicy class.
Method signatures and docstrings:
- def __init__(self, seed, brain, trainer_parameters, load): :param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. ... | Implement the Python class `BCPolicy` described below.
Class description:
Implement the BCPolicy class.
Method signatures and docstrings:
- def __init__(self, seed, brain, trainer_parameters, load): :param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. ... | 334df1e8afbfff3544413ade46fb12f03556014b | <|skeleton|>
class BCPolicy:
def __init__(self, seed, brain, trainer_parameters, load):
""":param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. :param load: Whether a pre-trained model will be loaded or a new one created."""
<|body_0... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BCPolicy:
def __init__(self, seed, brain, trainer_parameters, load):
""":param seed: Random seed. :param brain: Assigned Brain object. :param trainer_parameters: Defined training parameters. :param load: Whether a pre-trained model will be loaded or a new one created."""
super(BCPolicy, self).... | the_stack_v2_python_sparse | mlagents/trainers/bc/policy.py | Abluceli/HRG-SAC | train | 7 | |
e027a9183c2c149dd94aeeaa48900e5a483960bd | [
"super().__init__()\nself._img_size = config.get('img_size')\nself._input_channel = config.get('input_channel')\nself._filter_sizes = config.get('filter_size')\nself._kernel_size = config.get('kernel_size')\nself._padding = padding\nself._stride = stride\nself._dilation = dilation\nself._encoder_maxpool_count = con... | <|body_start_0|>
super().__init__()
self._img_size = config.get('img_size')
self._input_channel = config.get('input_channel')
self._filter_sizes = config.get('filter_size')
self._kernel_size = config.get('kernel_size')
self._padding = padding
self._stride = stride... | Stochastic_Conv_Encoder | Stochastic_Conv_Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Stochastic_Conv_Encoder:
"""Stochastic_Conv_Encoder"""
def __init__(self, config, padding=0, stride=2, dilation=1):
"""NP"""
<|body_0|>
def forward(self, inputs):
"""Args: input : imamges (num_tasks, num_points (way * shot), img_size, img_size) Return: output :""... | stack_v2_sparse_classes_36k_train_020571 | 18,202 | no_license | [
{
"docstring": "NP",
"name": "__init__",
"signature": "def __init__(self, config, padding=0, stride=2, dilation=1)"
},
{
"docstring": "Args: input : imamges (num_tasks, num_points (way * shot), img_size, img_size) Return: output :",
"name": "forward",
"signature": "def forward(self, inpu... | 2 | stack_v2_sparse_classes_30k_val_000261 | Implement the Python class `Stochastic_Conv_Encoder` described below.
Class description:
Stochastic_Conv_Encoder
Method signatures and docstrings:
- def __init__(self, config, padding=0, stride=2, dilation=1): NP
- def forward(self, inputs): Args: input : imamges (num_tasks, num_points (way * shot), img_size, img_siz... | Implement the Python class `Stochastic_Conv_Encoder` described below.
Class description:
Stochastic_Conv_Encoder
Method signatures and docstrings:
- def __init__(self, config, padding=0, stride=2, dilation=1): NP
- def forward(self, inputs): Args: input : imamges (num_tasks, num_points (way * shot), img_size, img_siz... | c7e1bfb49ebaec6937ed7b186689227f95a43e0f | <|skeleton|>
class Stochastic_Conv_Encoder:
"""Stochastic_Conv_Encoder"""
def __init__(self, config, padding=0, stride=2, dilation=1):
"""NP"""
<|body_0|>
def forward(self, inputs):
"""Args: input : imamges (num_tasks, num_points (way * shot), img_size, img_size) Return: output :""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Stochastic_Conv_Encoder:
"""Stochastic_Conv_Encoder"""
def __init__(self, config, padding=0, stride=2, dilation=1):
"""NP"""
super().__init__()
self._img_size = config.get('img_size')
self._input_channel = config.get('input_channel')
self._filter_sizes = config.get... | the_stack_v2_python_sparse | model/MAML/Part/encoder.py | MingyuKim87/MLwM | train | 0 |
265d8e1b2f842eb1761661a7212ee27d8a02a985 | [
"super().__init__(dev=dev, qubits=qubits, fluxlines_dict=fluxlines_dict, **kw)\nself.fluxlines_dict = fluxlines_dict\nroutines_utils.append_DCsources(self)\nself.results: Dict[str, ParkAndQubitSpectroscopyResults] = {}\nfor qb in self.qubits:\n flux, voltage = routines_utils.get_qubit_flux_and_voltage(qb=qb, flu... | <|body_start_0|>
super().__init__(dev=dev, qubits=qubits, fluxlines_dict=fluxlines_dict, **kw)
self.fluxlines_dict = fluxlines_dict
routines_utils.append_DCsources(self)
self.results: Dict[str, ParkAndQubitSpectroscopyResults] = {}
for qb in self.qubits:
flux, voltage... | AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved from the `results` attribute. In the case where the requested parking point is different fro... | ParkAndQubitSpectroscopy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParkAndQubitSpectroscopy:
"""AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved from the `results` attribute. In the cas... | stack_v2_sparse_classes_36k_train_020572 | 9,956 | permissive | [
{
"docstring": "Initializes the ParkAndQubitSpectroscopy routine. The fluxes and/or voltages at which the AdaptiveQubitSpectroscopies are run are specified with the settings of SetBiasVoltageAndFluxPulseAssistedReadOut. If no settings are specified there, it is possible to use the 'General' scope of ParkAndQubi... | 3 | stack_v2_sparse_classes_30k_train_009051 | Implement the Python class `ParkAndQubitSpectroscopy` described below.
Class description:
AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved f... | Implement the Python class `ParkAndQubitSpectroscopy` described below.
Class description:
AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved f... | bc6733d774fe31a23f4c7e73e5eb0beed8d30e7d | <|skeleton|>
class ParkAndQubitSpectroscopy:
"""AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved from the `results` attribute. In the cas... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ParkAndQubitSpectroscopy:
"""AutomaticRoutine that parks a qubit at the specified spot where it performs an AdaptiveQubitSpectroscopy routine to find its ge_freq. The flux and voltage, together with initial and measured values for ge_freq, can be retrieved from the `results` attribute. In the case where the r... | the_stack_v2_python_sparse | pycqed/measurement/calibration/automatic_calibration_routines/park_and_qubit_spectroscopy.py | QudevETH/PycQED_py3 | train | 8 |
9f88d859633b506dc00d9689f06b08a9846b075d | [
"self.author = Author.objects.create(name='Test Name', email='testemail@email.com', address='Test address', bio='Test bio')\nself.publisher = publisher = Publisher.objects.create(name='Test Name', address='Test address', email='testemail@email.com', publisher_url='http://testpublisherurl.com')\nself.book = Book.obj... | <|body_start_0|>
self.author = Author.objects.create(name='Test Name', email='testemail@email.com', address='Test address', bio='Test bio')
self.publisher = publisher = Publisher.objects.create(name='Test Name', address='Test address', email='testemail@email.com', publisher_url='http://testpublisherurl.... | Test casees for the Book model | BookTestCase | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BookTestCase:
"""Test casees for the Book model"""
def setUp(self):
"""Set up data to be used in test cases"""
<|body_0|>
def test_model_fields_with_correct_values(self):
"""Test the model fields with correct values."""
<|body_1|>
def test_model_fiel... | stack_v2_sparse_classes_36k_train_020573 | 12,307 | permissive | [
{
"docstring": "Set up data to be used in test cases",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test the model fields with correct values.",
"name": "test_model_fields_with_correct_values",
"signature": "def test_model_fields_with_correct_values(self)"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_007415 | Implement the Python class `BookTestCase` described below.
Class description:
Test casees for the Book model
Method signatures and docstrings:
- def setUp(self): Set up data to be used in test cases
- def test_model_fields_with_correct_values(self): Test the model fields with correct values.
- def test_model_fields_w... | Implement the Python class `BookTestCase` described below.
Class description:
Test casees for the Book model
Method signatures and docstrings:
- def setUp(self): Set up data to be used in test cases
- def test_model_fields_with_correct_values(self): Test the model fields with correct values.
- def test_model_fields_w... | a364e9997c1c91b09f5db8a004deb4df305fa8cf | <|skeleton|>
class BookTestCase:
"""Test casees for the Book model"""
def setUp(self):
"""Set up data to be used in test cases"""
<|body_0|>
def test_model_fields_with_correct_values(self):
"""Test the model fields with correct values."""
<|body_1|>
def test_model_fiel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BookTestCase:
"""Test casees for the Book model"""
def setUp(self):
"""Set up data to be used in test cases"""
self.author = Author.objects.create(name='Test Name', email='testemail@email.com', address='Test address', bio='Test bio')
self.publisher = publisher = Publisher.objects.... | the_stack_v2_python_sparse | libStash/books/tests.py | Dev-Rem/libStash | train | 0 |
dd3a6d3378d1f21e072c9b0411a2059d9e429d9e | [
"self.device_tree = device_tree\nself.logical_volume_name = logical_volume_name\nself.logical_volume_uuid = logical_volume_uuid\nself.volume_group_name = volume_group_name\nself.volume_group_uuid = volume_group_uuid",
"if dictionary is None:\n return None\ndevice_tree = cohesity_management_sdk.models.device_tr... | <|body_start_0|>
self.device_tree = device_tree
self.logical_volume_name = logical_volume_name
self.logical_volume_uuid = logical_volume_uuid
self.volume_group_name = volume_group_name
self.volume_group_uuid = volume_group_uuid
<|end_body_0|>
<|body_start_1|>
if dictiona... | Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions to create this logical volume. logical_volume_name (string): Logical volume name. logical_volume... | VolumeInfo_LogicalVolumeInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VolumeInfo_LogicalVolumeInfo:
"""Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions to create this logical volume. logical_v... | stack_v2_sparse_classes_36k_train_020574 | 2,832 | permissive | [
{
"docstring": "Constructor for the VolumeInfo_LogicalVolumeInfo class",
"name": "__init__",
"signature": "def __init__(self, device_tree=None, logical_volume_name=None, logical_volume_uuid=None, volume_group_name=None, volume_group_uuid=None)"
},
{
"docstring": "Creates an instance of this mode... | 2 | stack_v2_sparse_classes_30k_train_002311 | Implement the Python class `VolumeInfo_LogicalVolumeInfo` described below.
Class description:
Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions t... | Implement the Python class `VolumeInfo_LogicalVolumeInfo` described below.
Class description:
Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions t... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class VolumeInfo_LogicalVolumeInfo:
"""Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions to create this logical volume. logical_v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VolumeInfo_LogicalVolumeInfo:
"""Implementation of the 'VolumeInfo_LogicalVolumeInfo' model. This is extra attribute which uniquely identifies a logical volume in LVM or LDM. Attributes: device_tree (DeviceTree): The tree defining how to combine partitions to create this logical volume. logical_volume_name (s... | the_stack_v2_python_sparse | cohesity_management_sdk/models/volume_info_logical_volume_info.py | cohesity/management-sdk-python | train | 24 |
5517b21befbc475c798db26286b46a79e8f7b66b | [
"self.n = ZZ(n)\nself.m = m\nself.__i = 0\nself.K = IntegerModRing(q)\nself.FM = FreeModule(self.K, n)\nself.D = D\nself.secret_dist = secret_dist\nif secret_dist == 'uniform':\n self.__s = random_vector(self.K, self.n)\nelif secret_dist == 'noise':\n self.__s = vector(self.K, self.n, [self.D() for _ in range... | <|body_start_0|>
self.n = ZZ(n)
self.m = m
self.__i = 0
self.K = IntegerModRing(q)
self.FM = FreeModule(self.K, n)
self.D = D
self.secret_dist = secret_dist
if secret_dist == 'uniform':
self.__s = random_vector(self.K, self.n)
elif secr... | Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__ | LWE | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LWE:
"""Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, n, q, D, secret_dist='uniform', m=None):
"""Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimensi... | stack_v2_sparse_classes_36k_train_020575 | 31,769 | no_license | [
{
"docstring": "Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimension (integer > 0) - ``q`` - modulus typically > n (integer > 0) - ``D`` - an error distribution such as an instance of :class:`DiscreteGaussianDistributionIntegerSampler` o... | 3 | stack_v2_sparse_classes_30k_train_011482 | Implement the Python class `LWE` described below.
Class description:
Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__
Method signatures and docstrings:
- def __init__(self, n, q, D, secret_dist='uniform', m=None): Construct an LWE oracle in dimension ``n`` over a ring of order ``q`... | Implement the Python class `LWE` described below.
Class description:
Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__
Method signatures and docstrings:
- def __init__(self, n, q, D, secret_dist='uniform', m=None): Construct an LWE oracle in dimension ``n`` over a ring of order ``q`... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class LWE:
"""Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, n, q, D, secret_dist='uniform', m=None):
"""Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimensi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LWE:
"""Learning with Errors (LWE) oracle. .. automethod:: __init__ .. automethod:: __call__"""
def __init__(self, n, q, D, secret_dist='uniform', m=None):
"""Construct an LWE oracle in dimension ``n`` over a ring of order ``q`` with noise distribution ``D``. INPUT: - ``n`` - dimension (integer >... | the_stack_v2_python_sparse | sage/src/sage/crypto/lwe.py | bopopescu/geosci | train | 0 |
34bd14745ee405713abcf63a74837d4c52a05538 | [
"if not email_messages:\n return\nself._lock.acquire()\ntry:\n try:\n stream_created = self.open()\n for message in email_messages:\n self.stream.write(message.body.encode('utf-8'))\n self.stream.flush()\n if stream_created:\n self.close()\n except:\n ... | <|body_start_0|>
if not email_messages:
return
self._lock.acquire()
try:
try:
stream_created = self.open()
for message in email_messages:
self.stream.write(message.body.encode('utf-8'))
self.stream.fl... | EmailBackend | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
<|body_0|>
def _get_filename(self):
"""Return a unique file name."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not email_messag... | stack_v2_sparse_classes_36k_train_020576 | 1,336 | no_license | [
{
"docstring": "Write all messages to the stream in a thread-safe way.",
"name": "send_messages",
"signature": "def send_messages(self, email_messages)"
},
{
"docstring": "Return a unique file name.",
"name": "_get_filename",
"signature": "def _get_filename(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008145 | Implement the Python class `EmailBackend` described below.
Class description:
Implement the EmailBackend class.
Method signatures and docstrings:
- def send_messages(self, email_messages): Write all messages to the stream in a thread-safe way.
- def _get_filename(self): Return a unique file name. | Implement the Python class `EmailBackend` described below.
Class description:
Implement the EmailBackend class.
Method signatures and docstrings:
- def send_messages(self, email_messages): Write all messages to the stream in a thread-safe way.
- def _get_filename(self): Return a unique file name.
<|skeleton|>
class ... | 7c3acc39a24c38ae2ee06b71104a24cfbbde8453 | <|skeleton|>
class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
<|body_0|>
def _get_filename(self):
"""Return a unique file name."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EmailBackend:
def send_messages(self, email_messages):
"""Write all messages to the stream in a thread-safe way."""
if not email_messages:
return
self._lock.acquire()
try:
try:
stream_created = self.open()
for message in e... | the_stack_v2_python_sparse | project/utils/mail/backends/htmlfiles.py | chrisblythe812/gamemine | train | 1 | |
76345358b76cfc3e09dde5d31927ab4f1ae17243 | [
"EasyFrame.__init__(self, title='Button Demo')\nself.label = self.addLabel(text='Hello world!', row=0, column=0, columnspan=2, sticky='NSEW')\nself.clearBtn = self.addButton(text='Clear', row=1, column=0, command=self.clear)\nself.restoreBtn = self.addButton(text='Restore', row=1, column=1, command=self.restore, st... | <|body_start_0|>
EasyFrame.__init__(self, title='Button Demo')
self.label = self.addLabel(text='Hello world!', row=0, column=0, columnspan=2, sticky='NSEW')
self.clearBtn = self.addButton(text='Clear', row=1, column=0, command=self.clear)
self.restoreBtn = self.addButton(text='Restore', ... | Illustrates command buttons and user events. | ButtonDemo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ButtonDemo:
"""Illustrates command buttons and user events."""
def __init__(self):
"""Sets up the window, label, and buttons."""
<|body_0|>
def clear(self):
"""Resets the label to the empty string and the button states."""
<|body_1|>
def restore(self... | stack_v2_sparse_classes_36k_train_020577 | 1,619 | no_license | [
{
"docstring": "Sets up the window, label, and buttons.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Resets the label to the empty string and the button states.",
"name": "clear",
"signature": "def clear(self)"
},
{
"docstring": "Resets the label to ... | 3 | null | Implement the Python class `ButtonDemo` described below.
Class description:
Illustrates command buttons and user events.
Method signatures and docstrings:
- def __init__(self): Sets up the window, label, and buttons.
- def clear(self): Resets the label to the empty string and the button states.
- def restore(self): R... | Implement the Python class `ButtonDemo` described below.
Class description:
Illustrates command buttons and user events.
Method signatures and docstrings:
- def __init__(self): Sets up the window, label, and buttons.
- def clear(self): Resets the label to the empty string and the button states.
- def restore(self): R... | 30375264cf0103e3455fdf92c35a2c5c15b5d7ef | <|skeleton|>
class ButtonDemo:
"""Illustrates command buttons and user events."""
def __init__(self):
"""Sets up the window, label, and buttons."""
<|body_0|>
def clear(self):
"""Resets the label to the empty string and the button states."""
<|body_1|>
def restore(self... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ButtonDemo:
"""Illustrates command buttons and user events."""
def __init__(self):
"""Sets up the window, label, and buttons."""
EasyFrame.__init__(self, title='Button Demo')
self.label = self.addLabel(text='Hello world!', row=0, column=0, columnspan=2, sticky='NSEW')
self... | the_stack_v2_python_sparse | Student_Files/ch_08_Student_Files/buttondemo.py | davelpat/Fundamentals_of_Python | train | 1 |
183e355df6fd630d0c65ef9fac58ef286556ee20 | [
"self.k_heap = []\nself.k = k\nfor i, x in enumerate(nums):\n if i < k:\n heapq.heappush(self.k_heap, x)\n elif self.k_heap[0] < x:\n heapq.heappop(self.k_heap)\n heapq.heappush(self.k_heap, x)",
"if len(self.k_heap) < self.k:\n heapq.heappush(self.k_heap, val)\n return self.k_hea... | <|body_start_0|>
self.k_heap = []
self.k = k
for i, x in enumerate(nums):
if i < k:
heapq.heappush(self.k_heap, x)
elif self.k_heap[0] < x:
heapq.heappop(self.k_heap)
heapq.heappush(self.k_heap, x)
<|end_body_0|>
<|body_sta... | KthLargest | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.k_heap = []
self.k = k
for i, x in en... | stack_v2_sparse_classes_36k_train_020578 | 932 | no_license | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019379 | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | 1c273eadfbf4bef9323a0f386717ac8e7ad2ba71 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.k_heap = []
self.k = k
for i, x in enumerate(nums):
if i < k:
heapq.heappush(self.k_heap, x)
elif self.k_heap[0] < x:
heapq.heappop(sel... | the_stack_v2_python_sparse | Algorithm/streamKlagest.py | jackwang816/python_practice | train | 0 | |
f502e9991cd992172521f865a1ae6ce1d8409c11 | [
"raw = cls.validate_payload(payload)\nweekday = (raw[0] & 224) >> 5\nhours = raw[0] & 31\nminutes = raw[1] & 63\nseconds = raw[2] & 63\nif not DPTTime._test_range(weekday, hours, minutes, seconds):\n raise ConversionError('Could not parse DPTTime', raw=raw)\ntry:\n if weekday == 0:\n weekday = 1\n e... | <|body_start_0|>
raw = cls.validate_payload(payload)
weekday = (raw[0] & 224) >> 5
hours = raw[0] & 31
minutes = raw[1] & 63
seconds = raw[2] & 63
if not DPTTime._test_range(weekday, hours, minutes, seconds):
raise ConversionError('Could not parse DPTTime', ra... | Abstraction for KNX 3 Octet Time. DPT 10.001 | DPTTime | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DPTTime:
"""Abstraction for KNX 3 Octet Time. DPT 10.001"""
def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time:
"""Parse/deserialize from KNX/IP raw data."""
<|body_0|>
def to_knx(cls, value: time.struct_time) -> DPTArray:
"""Serialize to KNX/IP... | stack_v2_sparse_classes_36k_train_020579 | 2,699 | permissive | [
{
"docstring": "Parse/deserialize from KNX/IP raw data.",
"name": "from_knx",
"signature": "def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time"
},
{
"docstring": "Serialize to KNX/IP raw data from dict with elements weekday,hours,minutes,seconds.",
"name": "to_knx",
"si... | 3 | stack_v2_sparse_classes_30k_train_012812 | Implement the Python class `DPTTime` described below.
Class description:
Abstraction for KNX 3 Octet Time. DPT 10.001
Method signatures and docstrings:
- def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time: Parse/deserialize from KNX/IP raw data.
- def to_knx(cls, value: time.struct_time) -> DPTArray... | Implement the Python class `DPTTime` described below.
Class description:
Abstraction for KNX 3 Octet Time. DPT 10.001
Method signatures and docstrings:
- def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time: Parse/deserialize from KNX/IP raw data.
- def to_knx(cls, value: time.struct_time) -> DPTArray... | 48d4e31365c15e632b275f0d129cd9f2b2b5717d | <|skeleton|>
class DPTTime:
"""Abstraction for KNX 3 Octet Time. DPT 10.001"""
def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time:
"""Parse/deserialize from KNX/IP raw data."""
<|body_0|>
def to_knx(cls, value: time.struct_time) -> DPTArray:
"""Serialize to KNX/IP... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DPTTime:
"""Abstraction for KNX 3 Octet Time. DPT 10.001"""
def from_knx(cls, payload: DPTArray | DPTBinary) -> time.struct_time:
"""Parse/deserialize from KNX/IP raw data."""
raw = cls.validate_payload(payload)
weekday = (raw[0] & 224) >> 5
hours = raw[0] & 31
min... | the_stack_v2_python_sparse | xknx/dpt/dpt_time.py | XKNX/xknx | train | 248 |
8a221680bbf4a99a22364a4f81a47af3fd59c1fc | [
"self.lineNos = [callAstNode.lineNo, funcLineNo]\nself.astNodes = [callAstNode, funcAstNode]\nself.errorType = errorType\nself.valid = False\nself.argNos = None\nself.expected = None\nself.provided = None",
"if not self.valid:\n errPrint('\\nValidity check for FuncCallArgMatchError object failed.\\n')\n ass... | <|body_start_0|>
self.lineNos = [callAstNode.lineNo, funcLineNo]
self.astNodes = [callAstNode, funcAstNode]
self.errorType = errorType
self.valid = False
self.argNos = None
self.expected = None
self.provided = None
<|end_body_0|>
<|body_start_1|>
if not s... | Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and after you think the object is completely constructed. See more documentation in init method'... | FuncCallArgMatchError | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FuncCallArgMatchError:
"""Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and after you think the object is completely co... | stack_v2_sparse_classes_36k_train_020580 | 34,359 | no_license | [
{
"docstring": "@param {int} funcLineNo -- line where the actual function signature is declared. @param {AstNode} funcAstNode -- ast node corresponding to actual function. @param {int} errorType -- FUNC_CALL_ARG_MATCH_ERROR_NUM_ARGS_MISMATCH if error is mismatched number of arguments (in which case, creator of ... | 4 | null | Implement the Python class `FuncCallArgMatchError` described below.
Class description:
Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and afte... | Implement the Python class `FuncCallArgMatchError` described below.
Class description:
Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and afte... | 729a51f04d540111af01c283b1c17ad1489b664a | <|skeleton|>
class FuncCallArgMatchError:
"""Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and after you think the object is completely co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FuncCallArgMatchError:
"""Stores data used for error reporting when try to call a function but either have incorrect number of arguments or have mismatched arguments. It is good form to make a call to checkValid before trying to use internal fields, and after you think the object is completely constructed. Se... | the_stack_v2_python_sparse | waldo/parser/ast/typeCheck/astTypeCheckStack.py | bmistree/Waldo | train | 0 |
972b41842c635a282c052e5701318ca91612f735 | [
"self.result = ''\nself.time = datetime.now()\nself.timeout = timeout\nself.file = file",
"def wrapper(*a, **k):\n if k.get('recache', 0):\n self.result = ''\n del k['recache']\n if self.timedout():\n self.result = ''\n if not self.result:\n self.result = fn(*a, **k)\n ... | <|body_start_0|>
self.result = ''
self.time = datetime.now()
self.timeout = timeout
self.file = file
<|end_body_0|>
<|body_start_1|>
def wrapper(*a, **k):
if k.get('recache', 0):
self.result = ''
del k['recache']
if self.ti... | a decorator | Cached | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cached:
"""a decorator"""
def __init__(self, timeout=0, file=''):
"""timeout: int seconds file='string path to store result'"""
<|body_0|>
def __call__(self, fn):
"""wrap our function"""
<|body_1|>
def timedout(self):
"""returns True if we ha... | stack_v2_sparse_classes_36k_train_020581 | 2,075 | permissive | [
{
"docstring": "timeout: int seconds file='string path to store result'",
"name": "__init__",
"signature": "def __init__(self, timeout=0, file='')"
},
{
"docstring": "wrap our function",
"name": "__call__",
"signature": "def __call__(self, fn)"
},
{
"docstring": "returns True if ... | 3 | stack_v2_sparse_classes_30k_train_005224 | Implement the Python class `Cached` described below.
Class description:
a decorator
Method signatures and docstrings:
- def __init__(self, timeout=0, file=''): timeout: int seconds file='string path to store result'
- def __call__(self, fn): wrap our function
- def timedout(self): returns True if we have timed out | Implement the Python class `Cached` described below.
Class description:
a decorator
Method signatures and docstrings:
- def __init__(self, timeout=0, file=''): timeout: int seconds file='string path to store result'
- def __call__(self, fn): wrap our function
- def timedout(self): returns True if we have timed out
<... | 430d6dfd719f8c88a4c3de2b735f8736187ff19b | <|skeleton|>
class Cached:
"""a decorator"""
def __init__(self, timeout=0, file=''):
"""timeout: int seconds file='string path to store result'"""
<|body_0|>
def __call__(self, fn):
"""wrap our function"""
<|body_1|>
def timedout(self):
"""returns True if we ha... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cached:
"""a decorator"""
def __init__(self, timeout=0, file=''):
"""timeout: int seconds file='string path to store result'"""
self.result = ''
self.time = datetime.now()
self.timeout = timeout
self.file = file
def __call__(self, fn):
"""wrap our func... | the_stack_v2_python_sparse | evoke/serve/cached.py | howiemac/evoke | train | 0 |
e75302df942667cbcc8873ac4e9fa5213d9f3837 | [
"self.enable_bf16 = enable_bf16\nif enable_bf16:\n ipex.enable_auto_mixed_precision(mixed_dtype=torch.bfloat16)\nsuper().__init__(accelerator=accelerator, precision_plugin=precision_plugin)",
"super().setup(trainer)\ndtype = torch.bfloat16 if self.enable_bf16 else None\nif len(self.optimizers) == 0:\n ipex.... | <|body_start_0|>
self.enable_bf16 = enable_bf16
if enable_bf16:
ipex.enable_auto_mixed_precision(mixed_dtype=torch.bfloat16)
super().__init__(accelerator=accelerator, precision_plugin=precision_plugin)
<|end_body_0|>
<|body_start_1|>
super().setup(trainer)
dtype = to... | IPEX strategy. | IPEXStrategy | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IPEXStrategy:
"""IPEX strategy."""
def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=PrecisionPlugin(), enable_bf16=False) -> None:
"""Create a IPEXStrategy. :param accelerator: the accelerator to handle hardware :param precision_plugin:... | stack_v2_sparse_classes_36k_train_020582 | 2,385 | permissive | [
{
"docstring": "Create a IPEXStrategy. :param accelerator: the accelerator to handle hardware :param precision_plugin: the plugin to handle precision-specific parts",
"name": "__init__",
"signature": "def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=Precis... | 2 | stack_v2_sparse_classes_30k_train_012820 | Implement the Python class `IPEXStrategy` described below.
Class description:
IPEX strategy.
Method signatures and docstrings:
- def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=PrecisionPlugin(), enable_bf16=False) -> None: Create a IPEXStrategy. :param accelerator: th... | Implement the Python class `IPEXStrategy` described below.
Class description:
IPEX strategy.
Method signatures and docstrings:
- def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=PrecisionPlugin(), enable_bf16=False) -> None: Create a IPEXStrategy. :param accelerator: th... | 95f677ab34867f1d91df0ed8e1bc760ea610f791 | <|skeleton|>
class IPEXStrategy:
"""IPEX strategy."""
def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=PrecisionPlugin(), enable_bf16=False) -> None:
"""Create a IPEXStrategy. :param accelerator: the accelerator to handle hardware :param precision_plugin:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IPEXStrategy:
"""IPEX strategy."""
def __init__(self, accelerator: Accelerator=IPEXAccelerator(), precision_plugin: PrecisionPlugin=PrecisionPlugin(), enable_bf16=False) -> None:
"""Create a IPEXStrategy. :param accelerator: the accelerator to handle hardware :param precision_plugin: the plugin t... | the_stack_v2_python_sparse | python/nano/src/bigdl/nano/pytorch/strategies/ipex/ipex_strategy.py | helenlly/BigDL | train | 0 |
78d0a8eb4aa680d4d5f833891129caddeb4eaa10 | [
"self.orders = orders\nself.serials = serials\nself.licenses = licenses",
"if dictionary is None:\n return None\norders = dictionary.get('orders')\nserials = dictionary.get('serials')\nlicenses = None\nif dictionary.get('licenses') != None:\n licenses = list()\n for structure in dictionary.get('licenses'... | <|body_start_0|>
self.orders = orders
self.serials = serials
self.licenses = licenses
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
orders = dictionary.get('orders')
serials = dictionary.get('serials')
licenses = None
if d... | Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that should be claimed licenses (list of LicenseModel): The licenses that should be claimed | ClaimOrganizationModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClaimOrganizationModel:
"""Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that should be claimed licenses (list of Licens... | stack_v2_sparse_classes_36k_train_020583 | 2,242 | permissive | [
{
"docstring": "Constructor for the ClaimOrganizationModel class",
"name": "__init__",
"signature": "def __init__(self, orders=None, serials=None, licenses=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of ... | 2 | null | Implement the Python class `ClaimOrganizationModel` described below.
Class description:
Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that sho... | Implement the Python class `ClaimOrganizationModel` described below.
Class description:
Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that sho... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class ClaimOrganizationModel:
"""Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that should be claimed licenses (list of Licens... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClaimOrganizationModel:
"""Implementation of the 'claimOrganization' model. TODO: type model description here. Attributes: orders (list of string): The numbers of the orders that should be claimed serials (list of string): The serials of the devices that should be claimed licenses (list of LicenseModel): The ... | the_stack_v2_python_sparse | meraki_sdk/models/claim_organization_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
d1645e45b77fc87e06f1f88679fdc1b52741fd58 | [
"if type(hidden) in (tuple, list):\n return (func(hidden[0], *func_args, **func_kwargs), func(hidden[1], *func_args, **func_kwargs))\nelse:\n return func(hidden, *func_args, **func_kwargs)",
"if type(hidden) == tuple:\n return hidden[0]\nelse:\n return hidden"
] | <|body_start_0|>
if type(hidden) in (tuple, list):
return (func(hidden[0], *func_args, **func_kwargs), func(hidden[1], *func_args, **func_kwargs))
else:
return func(hidden, *func_args, **func_kwargs)
<|end_body_0|>
<|body_start_1|>
if type(hidden) == tuple:
r... | Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap every state inside another iterable. | RNNCompatabilityMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RNNCompatabilityMixin:
"""Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap every state inside another iterable."""
... | stack_v2_sparse_classes_36k_train_020584 | 2,240 | no_license | [
{
"docstring": "Ensure compatibility between GRU and LSTM RNNs by applying a function to both the hidden and cell state inside the hidden variable if necessary. Parameters ---------- hidden: AmbiguousHidden Either one hidden state or tuple of hidden and cell state. func: Callable Function being applied to hidde... | 2 | stack_v2_sparse_classes_30k_train_005251 | Implement the Python class `RNNCompatabilityMixin` described below.
Class description:
Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap ev... | Implement the Python class `RNNCompatabilityMixin` described below.
Class description:
Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap ev... | 6443bea8d325fa948e117b32a063e5383db2de14 | <|skeleton|>
class RNNCompatabilityMixin:
"""Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap every state inside another iterable."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RNNCompatabilityMixin:
"""Define the following operations on hidden variables with a single hidden state or hidden / cell state tuple: map: Apply a function to every every state. select: Only select the actual hidden state, discard the rest. scatter: Wrap every state inside another iterable."""
def map(h... | the_stack_v2_python_sparse | src/utils/compatability.py | Kaleidophon/tenacious-toucan | train | 0 |
24c6e5569ce73f43c9ba3df9237515c10dd2dac1 | [
"if g.token and g.token['type'] == 'user':\n project = g.db.execute_one_dict('\\n SELECT p.id, p.name, p.type, p.public, co.role AS userrole\\n FROM project p\\n LEFT JOIN collaborator co ON p.id = co.project_id AND co.user_id = %s\\n WHERE p.id = %s\\n... | <|body_start_0|>
if g.token and g.token['type'] == 'user':
project = g.db.execute_one_dict('\n SELECT p.id, p.name, p.type, p.public, co.role AS userrole\n FROM project p\n LEFT JOIN collaborator co ON p.id = co.project_id AND co.user_id = %s\n ... | Project | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Project:
def get(self, project_id):
"""Returns a project"""
<|body_0|>
def delete(self, project_id):
"""Delete a project"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if g.token and g.token['type'] == 'user':
project = g.db.execute_one... | stack_v2_sparse_classes_36k_train_020585 | 12,239 | permissive | [
{
"docstring": "Returns a project",
"name": "get",
"signature": "def get(self, project_id)"
},
{
"docstring": "Delete a project",
"name": "delete",
"signature": "def delete(self, project_id)"
}
] | 2 | null | Implement the Python class `Project` described below.
Class description:
Implement the Project class.
Method signatures and docstrings:
- def get(self, project_id): Returns a project
- def delete(self, project_id): Delete a project | Implement the Python class `Project` described below.
Class description:
Implement the Project class.
Method signatures and docstrings:
- def get(self, project_id): Returns a project
- def delete(self, project_id): Delete a project
<|skeleton|>
class Project:
def get(self, project_id):
"""Returns a proj... | 481f23d5fce7c9654bc0b0a5a54d4c77b728adf0 | <|skeleton|>
class Project:
def get(self, project_id):
"""Returns a project"""
<|body_0|>
def delete(self, project_id):
"""Delete a project"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Project:
def get(self, project_id):
"""Returns a project"""
if g.token and g.token['type'] == 'user':
project = g.db.execute_one_dict('\n SELECT p.id, p.name, p.type, p.public, co.role AS userrole\n FROM project p\n LEFT JOIN collaborato... | the_stack_v2_python_sparse | src/api/handlers/projects/projects.py | SAP/InfraBox | train | 275 | |
3c9ee908ab9cfb2f09e7b06ede3b71ff9bf89868 | [
"if request.attempt_id:\n return mtt_messages.TestModuleResultList(results=self._GetTestModuleResults(request.attempt_id))\nif not request.test_run_id:\n raise endpoints.BadRequestException('Test run ID or attempt ID required')\ntest_run_id = request.test_run_id\ntest_run = ndb_models.TestRun.get_by_id(test_r... | <|body_start_0|>
if request.attempt_id:
return mtt_messages.TestModuleResultList(results=self._GetTestModuleResults(request.attempt_id))
if not request.test_run_id:
raise endpoints.BadRequestException('Test run ID or attempt ID required')
test_run_id = request.test_run_id... | Test results API handler. | TestResultApi | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestResultApi:
"""Test results API handler."""
def ListTestModuleResults(self, request):
"""Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. Parameters: attempt_id: Test run attempt ID test_run_id: ... | stack_v2_sparse_classes_36k_train_020586 | 6,699 | permissive | [
{
"docstring": "Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. Parameters: attempt_id: Test run attempt ID test_run_id: Test run ID (used if attempt_id not provided)",
"name": "ListTestModuleResults",
"signature": "d... | 4 | stack_v2_sparse_classes_30k_val_000627 | Implement the Python class `TestResultApi` described below.
Class description:
Test results API handler.
Method signatures and docstrings:
- def ListTestModuleResults(self, request): Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. ... | Implement the Python class `TestResultApi` described below.
Class description:
Test results API handler.
Method signatures and docstrings:
- def ListTestModuleResults(self, request): Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. ... | 5e10bed02089e4cf29ae4d9d67e127f77e8fb3c9 | <|skeleton|>
class TestResultApi:
"""Test results API handler."""
def ListTestModuleResults(self, request):
"""Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. Parameters: attempt_id: Test run attempt ID test_run_id: ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestResultApi:
"""Test results API handler."""
def ListTestModuleResults(self, request):
"""Fetches a page of test module results. Incomplete modules are returned first, and results are then sorted by descending failure count. Parameters: attempt_id: Test run attempt ID test_run_id: Test run ID (... | the_stack_v2_python_sparse | multitest_transport/api/test_result_api.py | maksonlee/multitest_transport | train | 0 |
a1f62f9554d8a41caffb18e10b9127c43dbecbe3 | [
"for i in range(len(shifts) - 1)[::-1]:\n shifts[i] += shifts[i + 1]\nreturn ''.join([chr((ord(c) - 97 + s) % 26 + 97) for c, s in zip(S, shifts)])",
"s = [ord(c) for c in S]\nfor i, shift in enumerate(shifts):\n for j in range(i + 1):\n s[j] += shift % 26\nreturn ''.join([chr((n - 97) % 26 + 97) for... | <|body_start_0|>
for i in range(len(shifts) - 1)[::-1]:
shifts[i] += shifts[i + 1]
return ''.join([chr((ord(c) - 97 + s) % 26 + 97) for c, s in zip(S, shifts)])
<|end_body_0|>
<|body_start_1|>
s = [ord(c) for c in S]
for i, shift in enumerate(shifts):
for j in ra... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def shiftingLetters(self, S, shifts):
""":type S: str :type shifts: List[int] :rtype: str"""
<|body_0|>
def shiftingLetters_TLE(self, S, shifts):
""":type S: str :type shifts: List[int] :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_020587 | 2,168 | no_license | [
{
"docstring": ":type S: str :type shifts: List[int] :rtype: str",
"name": "shiftingLetters",
"signature": "def shiftingLetters(self, S, shifts)"
},
{
"docstring": ":type S: str :type shifts: List[int] :rtype: str",
"name": "shiftingLetters_TLE",
"signature": "def shiftingLetters_TLE(sel... | 2 | stack_v2_sparse_classes_30k_train_004597 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shiftingLetters(self, S, shifts): :type S: str :type shifts: List[int] :rtype: str
- def shiftingLetters_TLE(self, S, shifts): :type S: str :type shifts: List[int] :rtype: st... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def shiftingLetters(self, S, shifts): :type S: str :type shifts: List[int] :rtype: str
- def shiftingLetters_TLE(self, S, shifts): :type S: str :type shifts: List[int] :rtype: st... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def shiftingLetters(self, S, shifts):
""":type S: str :type shifts: List[int] :rtype: str"""
<|body_0|>
def shiftingLetters_TLE(self, S, shifts):
""":type S: str :type shifts: List[int] :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def shiftingLetters(self, S, shifts):
""":type S: str :type shifts: List[int] :rtype: str"""
for i in range(len(shifts) - 1)[::-1]:
shifts[i] += shifts[i + 1]
return ''.join([chr((ord(c) - 97 + s) % 26 + 97) for c, s in zip(S, shifts)])
def shiftingLetters_TL... | the_stack_v2_python_sparse | src/lt_848.py | oxhead/CodingYourWay | train | 0 | |
f06572cde52b17e6c8a437b5167c1e10bae1b851 | [
"self._repo_root = os.path.abspath(repo_root)\nhelper = cts_utils.ChromiumRepoHelper(self._repo_root)\nself._repo_helper = helper\nself._cts_config_path = helper.rebase(cts_utils.TOOLS_DIR, cts_utils.CONFIG_FILE)\nself._CTSConfig = cts_utils.CTSConfig(self._cts_config_path)",
"prefixes = [(platform, self._CTSConf... | <|body_start_0|>
self._repo_root = os.path.abspath(repo_root)
helper = cts_utils.ChromiumRepoHelper(self._repo_root)
self._repo_helper = helper
self._cts_config_path = helper.rebase(cts_utils.TOOLS_DIR, cts_utils.CONFIG_FILE)
self._CTSConfig = cts_utils.CTSConfig(self._cts_config... | Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After these steps are completed, the user can commit and upload the CL to Chromium ... | UpdateCTS | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateCTS:
"""Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After these steps are completed, the user can ... | stack_v2_sparse_classes_36k_train_020588 | 4,611 | permissive | [
{
"docstring": "Construct UpdateCTS instance. Args: repo_root: Repository root (e.g. /path/to/chromium/src) to base all configuration files",
"name": "__init__",
"signature": "def __init__(self, repo_root)"
},
{
"docstring": "Query for the latest cts versions per platform We can retrieve the new... | 4 | null | Implement the Python class `UpdateCTS` described below.
Class description:
Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After t... | Implement the Python class `UpdateCTS` described below.
Class description:
Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After t... | a401d6cf4f7bf0e2d2e964c512ebb923c3d8832c | <|skeleton|>
class UpdateCTS:
"""Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After these steps are completed, the user can ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateCTS:
"""Updates CTS archive to a new version. Performs the following tasks to simplify the CTS test update process: (TODO(crbug/1420927): - Update the CTS versions in fetch.py / install.sh) - Update the CTS versions in webview_cts_gcs_path.json After these steps are completed, the user can commit and up... | the_stack_v2_python_sparse | android_webview/tools/update_cts.py | chromium/chromium | train | 17,408 |
f82e9296841f43adeadcc36a1c3e3c04cc910179 | [
"with tempfile.NamedTemporaryFile(suffix='.ipynb') as tmp_notebook:\n args = ['jupyter', 'nbconvert', '--to', 'notebook', '--execute', '--ExecutePreprocessor.timeout=3600', '--output', tmp_notebook.name, path]\n subprocess.check_call(args)\n tmp_notebook.seek(0)\n return nbformat.read(tmp_notebook, nbfo... | <|body_start_0|>
with tempfile.NamedTemporaryFile(suffix='.ipynb') as tmp_notebook:
args = ['jupyter', 'nbconvert', '--to', 'notebook', '--execute', '--ExecutePreprocessor.timeout=3600', '--output', tmp_notebook.name, path]
subprocess.check_call(args)
tmp_notebook.seek(0)
... | TestNotebookConsistency | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestNotebookConsistency:
def _execute_notebook(path):
"""Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Notebook"""
<|body_0|>
def _analise_notebook(notebook):
"""Analise notebook cell outputs. The f... | stack_v2_sparse_classes_36k_train_020589 | 3,437 | permissive | [
{
"docstring": "Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Notebook",
"name": "_execute_notebook",
"signature": "def _execute_notebook(path)"
},
{
"docstring": "Analise notebook cell outputs. The function goes through all ce... | 3 | stack_v2_sparse_classes_30k_train_001940 | Implement the Python class `TestNotebookConsistency` described below.
Class description:
Implement the TestNotebookConsistency class.
Method signatures and docstrings:
- def _execute_notebook(path): Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Note... | Implement the Python class `TestNotebookConsistency` described below.
Class description:
Implement the TestNotebookConsistency class.
Method signatures and docstrings:
- def _execute_notebook(path): Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Note... | fc5ac51d5c4c7c313861b9f83a86239335b21ddc | <|skeleton|>
class TestNotebookConsistency:
def _execute_notebook(path):
"""Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Notebook"""
<|body_0|>
def _analise_notebook(notebook):
"""Analise notebook cell outputs. The f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestNotebookConsistency:
def _execute_notebook(path):
"""Execute a Jupyter Notebook from scratch and convert it into another Jupyter Notebook. :returns a converted Jupyter Notebook"""
with tempfile.NamedTemporaryFile(suffix='.ipynb') as tmp_notebook:
args = ['jupyter', 'nbconvert',... | the_stack_v2_python_sparse | quality_test.py | GuillaumeDufau/reco-gym | train | 0 | |
4a09955bf50cf4dc74b0b408f59d92df91784259 | [
"p.control_pipeline_params.pipeline.parse_params(p.control_pipeline_params)\np.system_dynamics = p.control_pipeline_params.system_dynamics_params.system\np.dt = p.control_pipeline_params.system_dynamics_params.dt\np.planning_horizon = p.control_pipeline_params.planning_horizon\nreturn p",
"obj_vals, data = self.e... | <|body_start_0|>
p.control_pipeline_params.pipeline.parse_params(p.control_pipeline_params)
p.system_dynamics = p.control_pipeline_params.system_dynamics_params.system
p.dt = p.control_pipeline_params.system_dynamics_params.dt
p.planning_horizon = p.control_pipeline_params.planning_horiz... | A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objective function on the resulting trajectories 3. Returns the minimum cost waypoint a... | SamplingPlanner | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SamplingPlanner:
"""A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objective function on the resulting trajecto... | stack_v2_sparse_classes_36k_train_020590 | 2,914 | no_license | [
{
"docstring": "Parse the parameters to add some additional helpful parameters.",
"name": "parse_params",
"signature": "def parse_params(p)"
},
{
"docstring": "Optimize the objective over a trajectory starting from start_config. 1. Uses a control pipeline to plan paths from start_config 2. Evalu... | 2 | null | Implement the Python class `SamplingPlanner` described below.
Class description:
A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objec... | Implement the Python class `SamplingPlanner` described below.
Class description:
A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objec... | 4429e315242eae85df81fb3c5b0f3dd52ae434cf | <|skeleton|>
class SamplingPlanner:
"""A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objective function on the resulting trajecto... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SamplingPlanner:
"""A planner which selects an optimal waypoint using a sampling based method. Given a fixed start_config, the planner 1. Uses a control pipeline to plan paths from start_config to a fixed set of waypoint configurations 2. Evaluates the objective function on the resulting trajectories 3. Retur... | the_stack_v2_python_sparse | planners/sampling_planner.py | SFU-MARS/WayPtNav-reachability | train | 4 |
e4cd54d4f19977fef53f7424053a3a8f9a862a5a | [
"if not isinstance(query, FetchQueryBuilder):\n raise ImapInvalidArgument('query', query)\nself.__fetch_query = query",
"func = 'fetch'\nargs = self.__fetch_query.build()\nif self.__fetch_query.uids:\n func = 'uid'\n args = ('fetch',) + args\ntyp, data = getattr(imap_obj, func)(*args)\nself.check_respons... | <|body_start_0|>
if not isinstance(query, FetchQueryBuilder):
raise ImapInvalidArgument('query', query)
self.__fetch_query = query
<|end_body_0|>
<|body_start_1|>
func = 'fetch'
args = self.__fetch_query.build()
if self.__fetch_query.uids:
func = 'uid'
... | Executes IMAP Fetch cammand | ImapFetchCommand | [
"WTFPL"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImapFetchCommand:
"""Executes IMAP Fetch cammand"""
def __init__(self, query: FetchQueryBuilder):
"""Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param query: FetchQueryBuilder :return:"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_020591 | 1,604 | permissive | [
{
"docstring": "Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param query: FetchQueryBuilder :return:",
"name": "__init__",
"signature": "def __init__(self, query: FetchQueryBuilder)"
},
{
"docstring": "Executes IMAP fetch... | 2 | stack_v2_sparse_classes_30k_train_019463 | Implement the Python class `ImapFetchCommand` described below.
Class description:
Executes IMAP Fetch cammand
Method signatures and docstrings:
- def __init__(self, query: FetchQueryBuilder): Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param ... | Implement the Python class `ImapFetchCommand` described below.
Class description:
Executes IMAP Fetch cammand
Method signatures and docstrings:
- def __init__(self, query: FetchQueryBuilder): Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param ... | 002a916494591e31ec9a0c2dbef66427a72bc036 | <|skeleton|>
class ImapFetchCommand:
"""Executes IMAP Fetch cammand"""
def __init__(self, query: FetchQueryBuilder):
"""Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param query: FetchQueryBuilder :return:"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImapFetchCommand:
"""Executes IMAP Fetch cammand"""
def __init__(self, query: FetchQueryBuilder):
"""Creates instance of Fetch IMAP command Raises: ImapRuntimeError - if :param query is not instance of FetchQueryBuilder :param query: FetchQueryBuilder :return:"""
if not isinstance(query, ... | the_stack_v2_python_sparse | pymaillib/imap/commands/fetch.py | pussbb/pymaillib | train | 0 |
638293bb91a64c81d1fa7ef98596fcd3257b48c5 | [
"n = len(nums)\nif n == 0:\n return 0\ndp = [1] * len(nums)\nfor i in range(1, n):\n for j in range(0, i):\n if nums[i] > nums[j]:\n dp[i] = max(dp[j] + 1, dp[i])\nreturn max(dp)",
"d = []\nfor n in nums:\n if not d or n > d[-1]:\n d.append(n)\n else:\n l, r = (0, len(d... | <|body_start_0|>
n = len(nums)
if n == 0:
return 0
dp = [1] * len(nums)
for i in range(1, n):
for j in range(0, i):
if nums[i] > nums[j]:
dp[i] = max(dp[j] + 1, dp[i])
return max(dp)
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lengthOfLIS_dp(self, nums):
"""1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之前,已经计算出 dp[0, 1, ……, i−1]的值,即考虑往dp[0, 1, ……, i−1]中最长的上升子序列后面再加一个 nums[i]. 由于dp[j]代表 nums[0, 1, ……... | stack_v2_sparse_classes_36k_train_020592 | 2,344 | no_license | [
{
"docstring": "1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之前,已经计算出 dp[0, 1, ……, i−1]的值,即考虑往dp[0, 1, ……, i−1]中最长的上升子序列后面再加一个 nums[i]. 由于dp[j]代表 nums[0, 1, ……, j]中以 nums[j]结尾的最长上升子序列, 所以如果能从 dp[j]状态转移到 dp[i], 那么... | 2 | stack_v2_sparse_classes_30k_train_020090 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS_dp(self, nums): 1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lengthOfLIS_dp(self, nums): 1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之... | 7dbd6da4cf42e422f1425a9de134ab31da52792a | <|skeleton|>
class Solution:
def lengthOfLIS_dp(self, nums):
"""1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之前,已经计算出 dp[0, 1, ……, i−1]的值,即考虑往dp[0, 1, ……, i−1]中最长的上升子序列后面再加一个 nums[i]. 由于dp[j]代表 nums[0, 1, ……... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lengthOfLIS_dp(self, nums):
"""1.定义dp[i]表示以第i个数字结尾的最长上升子序列的长度,注意 nums[i]必须被选取,最终答案为 max(dp) 2.定义dp[i]表示前i个数字中最长上升子序列的长度,注意 nums[i]不一定被选取,最终答案为 dp[-1] 以上有两种定义方式,这里选第一种: 在计算dp[i]之前,已经计算出 dp[0, 1, ……, i−1]的值,即考虑往dp[0, 1, ……, i−1]中最长的上升子序列后面再加一个 nums[i]. 由于dp[j]代表 nums[0, 1, ……, j]中以 nums[j]... | the_stack_v2_python_sparse | 查找计算/最长上升子序列.py | VixeruntR/leetcode | train | 1 | |
dcb3401a9110b7c3383f2bb9d596bd8f0e54e97d | [
"outputs = sorted(StreamAlertOutput.get_all_outputs().keys())\nlist_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.description, subcommand=True)\nlist_parser.add_argument('--service', '-s', choices=outputs, default=outputs, nargs='*', metavar='SERVICE', help='Pass Services to l... | <|body_start_0|>
outputs = sorted(StreamAlertOutput.get_all_outputs().keys())
list_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.description, subcommand=True)
list_parser.add_argument('--service', '-s', choices=outputs, default=outputs, nargs='*', metavar='... | OutputListSubCommand | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
<|body_0|>
def handler(cls, options, config):
"""List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with th... | stack_v2_sparse_classes_36k_train_020593 | 19,044 | permissive | [
{
"docstring": "Add the output list subparser: manage.py output list [options]",
"name": "setup_subparser",
"signature": "def setup_subparser(cls, subparser)"
},
{
"docstring": "List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with the service setting config (St... | 2 | stack_v2_sparse_classes_30k_train_006840 | Implement the Python class `OutputListSubCommand` described below.
Class description:
Implement the OutputListSubCommand class.
Method signatures and docstrings:
- def setup_subparser(cls, subparser): Add the output list subparser: manage.py output list [options]
- def handler(cls, options, config): List configured o... | Implement the Python class `OutputListSubCommand` described below.
Class description:
Implement the OutputListSubCommand class.
Method signatures and docstrings:
- def setup_subparser(cls, subparser): Add the output list subparser: manage.py output list [options]
- def handler(cls, options, config): List configured o... | 75ba140d2e1aa6e903313d88326920adcb8bff45 | <|skeleton|>
class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
<|body_0|>
def handler(cls, options, config):
"""List configured outputs Args: options (argparse.Namespace): Basically a namedtuple with th... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OutputListSubCommand:
def setup_subparser(cls, subparser):
"""Add the output list subparser: manage.py output list [options]"""
outputs = sorted(StreamAlertOutput.get_all_outputs().keys())
list_parser = generate_subparser(subparser, 'list', description=cls.description, help=cls.descrip... | the_stack_v2_python_sparse | streamalert_cli/outputs/handler.py | avmi/streamalert | train | 0 | |
dcbdb5c8a4aae1c6068f9271b7bfb63fe8172704 | [
"self.read_only = read_only\nself.secret_name = secret_name\nself.share_name = share_name",
"if dictionary is None:\n return None\nread_only = dictionary.get('readOnly')\nsecret_name = dictionary.get('secretName')\nshare_name = dictionary.get('shareName')\nreturn cls(read_only, secret_name, share_name)"
] | <|body_start_0|>
self.read_only = read_only
self.secret_name = secret_name
self.share_name = share_name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
read_only = dictionary.get('readOnly')
secret_name = dictionary.get('secretName')
... | Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_name (string): TODO: Type description here. | PodInfo_PodSpec_VolumeInfo_AzureFile | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PodInfo_PodSpec_VolumeInfo_AzureFile:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_name (string): TODO: Type description her... | stack_v2_sparse_classes_36k_train_020594 | 1,847 | permissive | [
{
"docstring": "Constructor for the PodInfo_PodSpec_VolumeInfo_AzureFile class",
"name": "__init__",
"signature": "def __init__(self, read_only=None, secret_name=None, share_name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictio... | 2 | stack_v2_sparse_classes_30k_test_001171 | Implement the Python class `PodInfo_PodSpec_VolumeInfo_AzureFile` described below.
Class description:
Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_na... | Implement the Python class `PodInfo_PodSpec_VolumeInfo_AzureFile` described below.
Class description:
Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_na... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class PodInfo_PodSpec_VolumeInfo_AzureFile:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_name (string): TODO: Type description her... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PodInfo_PodSpec_VolumeInfo_AzureFile:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_AzureFile' model. TODO: type description here. Attributes: read_only (string): TODO: Type description here. secret_name (string): TODO: Type description here. share_name (string): TODO: Type description here."""
de... | the_stack_v2_python_sparse | cohesity_management_sdk/models/pod_info_pod_spec_volume_info_azure_file.py | cohesity/management-sdk-python | train | 24 |
dbd4309fe8f2c36556c78e6b3f46cbd7f99536b8 | [
"mx = float('-inf')\ntable = [[0 for _ in range(len(nums))] for _ in range(len(nums))]\nfor i in range(len(nums)):\n table[0][i] = nums[i]\n mx = max(table[0][i], mx)\nfor length in range(1, len(nums)):\n for i in range(len(nums) - length):\n table[length][i] = table[length - 1][i] * nums[length + i... | <|body_start_0|>
mx = float('-inf')
table = [[0 for _ in range(len(nums))] for _ in range(len(nums))]
for i in range(len(nums)):
table[0][i] = nums[i]
mx = max(table[0][i], mx)
for length in range(1, len(nums)):
for i in range(len(nums) - length):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def standard(self, nums):
"""这个是标准解析 :param nums: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
mx = float('-inf')
table = [[0 for _ in range... | stack_v2_sparse_classes_36k_train_020595 | 1,352 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxProduct",
"signature": "def maxProduct(self, nums)"
},
{
"docstring": "这个是标准解析 :param nums: :return:",
"name": "standard",
"signature": "def standard(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018211 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def standard(self, nums): 这个是标准解析 :param nums: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def standard(self, nums): 这个是标准解析 :param nums: :return:
<|skeleton|>
class Solution:
def maxProduct(self, nu... | f3e81bc39e8c3723ef9a83dc6235a0abe2871833 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def standard(self, nums):
"""这个是标准解析 :param nums: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
mx = float('-inf')
table = [[0 for _ in range(len(nums))] for _ in range(len(nums))]
for i in range(len(nums)):
table[0][i] = nums[i]
mx = max(table[0][i], mx)
for leng... | the_stack_v2_python_sparse | leetcode/乘机最大子序列.py | dahaihu/standard | train | 0 | |
4079728bc564e1f7068106050a7bd1ebf53a1fcc | [
"if len(indices) != len(set(indices)):\n raise ConstraintError(f'The constraint indices {indices} are not unique.')\nif 1 < len(indices) <= 4:\n if indices[0] < indices[-1]:\n return indices\n else:\n return tuple(reversed(indices))\nelif len(indices) > 4:\n return tuple(sorted(indices))\n... | <|body_start_0|>
if len(indices) != len(set(indices)):
raise ConstraintError(f'The constraint indices {indices} are not unique.')
if 1 < len(indices) <= 4:
if indices[0] < indices[-1]:
return indices
else:
return tuple(reversed(indices)... | Constraint | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Constraint:
def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]:
"""Check all indices are unique and then order them to make comparisons between constraints easier."""
<|body_0|>
def dict(self, *args, **kwargs):
"""Overwrite the dict method... | stack_v2_sparse_classes_36k_train_020596 | 8,547 | permissive | [
{
"docstring": "Check all indices are unique and then order them to make comparisons between constraints easier.",
"name": "_order_and_check_indices",
"signature": "def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]"
},
{
"docstring": "Overwrite the dict method to mak... | 2 | stack_v2_sparse_classes_30k_train_008235 | Implement the Python class `Constraint` described below.
Class description:
Implement the Constraint class.
Method signatures and docstrings:
- def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]: Check all indices are unique and then order them to make comparisons between constraints easie... | Implement the Python class `Constraint` described below.
Class description:
Implement the Constraint class.
Method signatures and docstrings:
- def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]: Check all indices are unique and then order them to make comparisons between constraints easie... | 48943d8e7a5b6947001d29a9c629a65c4133dbd6 | <|skeleton|>
class Constraint:
def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]:
"""Check all indices are unique and then order them to make comparisons between constraints easier."""
<|body_0|>
def dict(self, *args, **kwargs):
"""Overwrite the dict method... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Constraint:
def _order_and_check_indices(cls, indices: Tuple[int, ...]) -> Tuple[int, ...]:
"""Check all indices are unique and then order them to make comparisons between constraints easier."""
if len(indices) != len(set(indices)):
raise ConstraintError(f'The constraint indices {i... | the_stack_v2_python_sparse | openff/qcsubmit/constraints.py | openforcefield/openff-qcsubmit | train | 15 | |
d4fb7af2f12bafbd6483e031b62ade7ccf333eca | [
"stack, result = ([], [])\nnode = root\nwhile stack or node:\n if node:\n stack.append(node)\n result.append(str(node.val))\n node = node.left\n else:\n node = stack.pop().right\nreturn ','.join(result)",
"def helper(ser, bound=float('inf')):\n if not ser:\n return None... | <|body_start_0|>
stack, result = ([], [])
node = root
while stack or node:
if node:
stack.append(node)
result.append(str(node.val))
node = node.left
else:
node = stack.pop().right
return ','.join(resu... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
stack, result ... | stack_v2_sparse_classes_36k_train_020597 | 1,871 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 085d868ba0458fc8e6b5549aa00fa151c335fa7f | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
stack, result = ([], [])
node = root
while stack or node:
if node:
stack.append(node)
result.append(str(node.val))
node = node... | the_stack_v2_python_sparse | 449-Serialize_and_Deserialize_BST.py | chanyoonzhu/leetcode-python | train | 0 | |
9e02c52baeeaca2693b49b47dccc4fdb7b7f5638 | [
"item_links = response.xpath(\"//a[@class='product-loop-title']/@href\").extract()\nyield from response.follow_all(item_links, callback=self.parse_details)\nnext_page = response.xpath(\"//a[@class='next page-numbers']/@href\").get()\nif next_page:\n yield response.follow(next_page, callback=self.parse)",
"desc... | <|body_start_0|>
item_links = response.xpath("//a[@class='product-loop-title']/@href").extract()
yield from response.follow_all(item_links, callback=self.parse_details)
next_page = response.xpath("//a[@class='next page-numbers']/@href").get()
if next_page:
yield response.foll... | SanteeSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SanteeSpider:
def parse(self, response, **kwargs):
"""This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request https://www.santeecosmeticsusa.com/product/9-palette-shimmer-eyeshadow/ @returns items 0 @returns request... | stack_v2_sparse_classes_36k_train_020598 | 2,863 | no_license | [
{
"docstring": "This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request https://www.santeecosmeticsusa.com/product/9-palette-shimmer-eyeshadow/ @returns items 0 @returns requests 1 51",
"name": "parse",
"signature": "def parse(self... | 2 | null | Implement the Python class `SanteeSpider` described below.
Class description:
Implement the SanteeSpider class.
Method signatures and docstrings:
- def parse(self, response, **kwargs): This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request http... | Implement the Python class `SanteeSpider` described below.
Class description:
Implement the SanteeSpider class.
Method signatures and docstrings:
- def parse(self, response, **kwargs): This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request http... | 025babe4a03553d720806828f89929c6e773d683 | <|skeleton|>
class SanteeSpider:
def parse(self, response, **kwargs):
"""This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request https://www.santeecosmeticsusa.com/product/9-palette-shimmer-eyeshadow/ @returns items 0 @returns request... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SanteeSpider:
def parse(self, response, **kwargs):
"""This function should extract and loop item urls. @url https://www.santeecosmeticsusa.com/?s=&post_type=product&count=50 @request https://www.santeecosmeticsusa.com/product/9-palette-shimmer-eyeshadow/ @returns items 0 @returns requests 1 51"""
... | the_stack_v2_python_sparse | data_scraping/gmd/spiders/santee.py | panky2202/scrapy-dev | train | 1 | |
d5df93cc370d1ad9635344abb49ef97ef334ac73 | [
"form = SponsorForm(self.request.form, config=self.config)\nif form.validate():\n f = form.data\n f['logo'] = f['image']\n del f['image']\n self.barcamp.sponsors.append(f)\n self.barcamp.put()\n self.flash('Neuen Sponsor angelegt', category='info')\nelse:\n self.flash('Leider enthielt das Formu... | <|body_start_0|>
form = SponsorForm(self.request.form, config=self.config)
if form.validate():
f = form.data
f['logo'] = f['image']
del f['image']
self.barcamp.sponsors.append(f)
self.barcamp.put()
self.flash('Neuen Sponsor angelegt... | view for adding and deleting sponsors | BarcampSponsors | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BarcampSponsors:
"""view for adding and deleting sponsors"""
def post(self, slug=None):
"""just add the sponsor and reload the page"""
<|body_0|>
def delete(self, slug=None):
"""delete a sponsor again and give the index via idx param"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_36k_train_020599 | 2,903 | permissive | [
{
"docstring": "just add the sponsor and reload the page",
"name": "post",
"signature": "def post(self, slug=None)"
},
{
"docstring": "delete a sponsor again and give the index via idx param",
"name": "delete",
"signature": "def delete(self, slug=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009830 | Implement the Python class `BarcampSponsors` described below.
Class description:
view for adding and deleting sponsors
Method signatures and docstrings:
- def post(self, slug=None): just add the sponsor and reload the page
- def delete(self, slug=None): delete a sponsor again and give the index via idx param | Implement the Python class `BarcampSponsors` described below.
Class description:
view for adding and deleting sponsors
Method signatures and docstrings:
- def post(self, slug=None): just add the sponsor and reload the page
- def delete(self, slug=None): delete a sponsor again and give the index via idx param
<|skele... | 9b45664e46c451b2cbe00bb55583b043e769083d | <|skeleton|>
class BarcampSponsors:
"""view for adding and deleting sponsors"""
def post(self, slug=None):
"""just add the sponsor and reload the page"""
<|body_0|>
def delete(self, slug=None):
"""delete a sponsor again and give the index via idx param"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BarcampSponsors:
"""view for adding and deleting sponsors"""
def post(self, slug=None):
"""just add the sponsor and reload the page"""
form = SponsorForm(self.request.form, config=self.config)
if form.validate():
f = form.data
f['logo'] = f['image']
... | the_stack_v2_python_sparse | camper/barcamps/index.py | comlounge/camper | train | 14 |
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