blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 160 3.93k | prompted_full_text stringlengths 681 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.09k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 331 8.3k | source stringclasses 1
value | source_path stringlengths 5 177 | source_repo stringlengths 6 88 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
83435ec322fe9868ea19f6f0d2ee0ab93e2a9001 | [
"stack = []\nvals = []\nnode = root\nwhile stack or node:\n while node:\n stack.append(node)\n node = node.left\n node = stack.pop()\n vals.append(node.val)\n node = node.right\nvals.sort()\nnode = root\ni = 0\nwhile stack or node:\n while node:\n stack.append(node)\n node... | <|body_start_0|>
stack = []
vals = []
node = root
while stack or node:
while node:
stack.append(node)
node = node.left
node = stack.pop()
vals.append(node.val)
node = node.right
vals.sort()
no... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def recoverTree(self, root: Optional[TreeNode]) -> None:
"""Do not return anything, modify root in-place instead."""
<|body_0|>
def recoverTree2(self, root: Optional[TreeNode]) -> None:
"""Do not return anything, modify root in-place instead."""
<|b... | stack_v2_sparse_classes_10k_train_000400 | 2,570 | no_license | [
{
"docstring": "Do not return anything, modify root in-place instead.",
"name": "recoverTree",
"signature": "def recoverTree(self, root: Optional[TreeNode]) -> None"
},
{
"docstring": "Do not return anything, modify root in-place instead.",
"name": "recoverTree2",
"signature": "def recov... | 3 | stack_v2_sparse_classes_30k_train_007069 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree(self, root: Optional[TreeNode]) -> None: Do not return anything, modify root in-place instead.
- def recoverTree2(self, root: Optional[TreeNode]) -> None: Do not ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree(self, root: Optional[TreeNode]) -> None: Do not return anything, modify root in-place instead.
- def recoverTree2(self, root: Optional[TreeNode]) -> None: Do not ... | 7f8145f0c7ffdf18c557f01d221087b10443156e | <|skeleton|>
class Solution:
def recoverTree(self, root: Optional[TreeNode]) -> None:
"""Do not return anything, modify root in-place instead."""
<|body_0|>
def recoverTree2(self, root: Optional[TreeNode]) -> None:
"""Do not return anything, modify root in-place instead."""
<|b... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def recoverTree(self, root: Optional[TreeNode]) -> None:
"""Do not return anything, modify root in-place instead."""
stack = []
vals = []
node = root
while stack or node:
while node:
stack.append(node)
node = node.le... | the_stack_v2_python_sparse | tree/099 Recover Binary Search Tree.py | mofei952/leetcode_python | train | 0 | |
6ba23a850b67a8fb27034340ccc0aee22c6e62b1 | [
"_type, qname, qclass, qtype, _id, ip = query\nself.has_result = False\nqname_lower = qname.lower()\n'List of servers to round-robin'\nservers = ['192.168.1.201', '192.168.1.202']\nserver = random.choice(servers)\nself.results = []\nif (qtype == 'A' or qtype == 'ANY') and qname_lower == 'test.domain.org':\n self... | <|body_start_0|>
_type, qname, qclass, qtype, _id, ip = query
self.has_result = False
qname_lower = qname.lower()
'List of servers to round-robin'
servers = ['192.168.1.201', '192.168.1.202']
server = random.choice(servers)
self.results = []
if (qtype == '... | Handle PowerDNS pipe-backend domain name lookups. | DNSLookup | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DNSLookup:
"""Handle PowerDNS pipe-backend domain name lookups."""
def __init__(self, query):
"""parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://downloads.powerdns.com/documentation/html/backends-detail.h... | stack_v2_sparse_classes_10k_train_000401 | 4,118 | permissive | [
{
"docstring": "parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://downloads.powerdns.com/documentation/html/backends-detail.html#PIPEBACKEND-PROTOCOL",
"name": "__init__",
"signature": "def __init__(self, query)"
},
{
... | 2 | null | Implement the Python class `DNSLookup` described below.
Class description:
Handle PowerDNS pipe-backend domain name lookups.
Method signatures and docstrings:
- def __init__(self, query): parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://do... | Implement the Python class `DNSLookup` described below.
Class description:
Handle PowerDNS pipe-backend domain name lookups.
Method signatures and docstrings:
- def __init__(self, query): parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://do... | 665d39a2bd82543d5196555f0801ef8fd4a3ee48 | <|skeleton|>
class DNSLookup:
"""Handle PowerDNS pipe-backend domain name lookups."""
def __init__(self, query):
"""parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://downloads.powerdns.com/documentation/html/backends-detail.h... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DNSLookup:
"""Handle PowerDNS pipe-backend domain name lookups."""
def __init__(self, query):
"""parse DNS query and produce lookup result. query: a sequence containing the DNS query as per PowerDNS manual appendix A: http://downloads.powerdns.com/documentation/html/backends-detail.html#PIPEBACKE... | the_stack_v2_python_sparse | dockerized-gists/10069682/snippet.py | gistable/gistable | train | 76 |
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_10k_train_000402 | 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_003405 | 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_10k | 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 | |
fa03eb978f72ad075abdc2637a5dca7e5bff5ef8 | [
"self.minheap = []\nself.maxheap = []\nself.len_min = self.len_max = 0",
"if self.len_max == 0:\n heapq.heappush(self.maxheap, num)\n self.len_max += 1\n return\nif self.len_max == self.len_min:\n if num >= self.maxheap[0]:\n heapq.heappush(self.maxheap, num)\n else:\n heapq.heappush(... | <|body_start_0|>
self.minheap = []
self.maxheap = []
self.len_min = self.len_max = 0
<|end_body_0|>
<|body_start_1|>
if self.len_max == 0:
heapq.heappush(self.maxheap, num)
self.len_max += 1
return
if self.len_max == self.len_min:
... | MedianFinder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: None"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_10k_train_000403 | 1,807 | permissive | [
{
"docstring": "initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ":type num: int :rtype: None",
"name": "addNum",
"signature": "def addNum(self, num)"
},
{
"docstring": ":rtype: float",
"name": "findMedian",
"s... | 3 | stack_v2_sparse_classes_30k_train_003355 | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: None
- def findMedian(self): :rtype: float | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: None
- def findMedian(self): :rtype: float
<|skeleton|>
class Me... | c5e7777e6a5b691bb410c25f29ae0f51a6598a12 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: None"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
self.minheap = []
self.maxheap = []
self.len_min = self.len_max = 0
def addNum(self, num):
""":type num: int :rtype: None"""
if self.len_max == 0:
heapq.heappush(self.m... | the_stack_v2_python_sparse | 剑指offer/41-Stream-Median.py | xizhang77/CodingInterview | train | 1 | |
c57ff9c6ae888e8c5f8df102f0f835ad4df175da | [
"self.line_style = line_style\nself.has_fill = has_fill\nself.fill_colour = fill_colour",
"plt.title(title)\nplt.xlabel(labels[0])\nplt.ylabel(labels[1])\nif self.has_fill:\n plt.plot(data[0], data[1], self.line_style)\n plt.fill_between(data[0], data[1], color=f'{self.fill_colour}')\nelse:\n plt.plot(da... | <|body_start_0|>
self.line_style = line_style
self.has_fill = has_fill
self.fill_colour = fill_colour
<|end_body_0|>
<|body_start_1|>
plt.title(title)
plt.xlabel(labels[0])
plt.ylabel(labels[1])
if self.has_fill:
plt.plot(data[0], data[1], self.line_s... | Represents an object that generates a line graph when it is called and executed as a function | LineGraph | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LineGraph:
"""Represents an object that generates a line graph when it is called and executed as a function"""
def __init__(self, line_style, has_fill=False, fill_colour=None):
"""Initializes a LineGraph object :param line_style: style of a line in a line graph as a String :param has... | stack_v2_sparse_classes_10k_train_000404 | 5,075 | no_license | [
{
"docstring": "Initializes a LineGraph object :param line_style: style of a line in a line graph as a String :param has_fill: tells if a line graph has a fill as a Bool :param fill_colour: colour of the fill as a String",
"name": "__init__",
"signature": "def __init__(self, line_style, has_fill=False, ... | 2 | stack_v2_sparse_classes_30k_train_001032 | Implement the Python class `LineGraph` described below.
Class description:
Represents an object that generates a line graph when it is called and executed as a function
Method signatures and docstrings:
- def __init__(self, line_style, has_fill=False, fill_colour=None): Initializes a LineGraph object :param line_styl... | Implement the Python class `LineGraph` described below.
Class description:
Represents an object that generates a line graph when it is called and executed as a function
Method signatures and docstrings:
- def __init__(self, line_style, has_fill=False, fill_colour=None): Initializes a LineGraph object :param line_styl... | e4953c9a4f574a6d92cbd0815e5150dd1523c31d | <|skeleton|>
class LineGraph:
"""Represents an object that generates a line graph when it is called and executed as a function"""
def __init__(self, line_style, has_fill=False, fill_colour=None):
"""Initializes a LineGraph object :param line_style: style of a line in a line graph as a String :param has... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LineGraph:
"""Represents an object that generates a line graph when it is called and executed as a function"""
def __init__(self, line_style, has_fill=False, fill_colour=None):
"""Initializes a LineGraph object :param line_style: style of a line in a line graph as a String :param has_fill: tells ... | the_stack_v2_python_sparse | Labs/Lab9/observers.py | kchung90/Python-Labs-Assignments | train | 0 |
e1423d947641b2b3a68de8634fc74139b599e3e1 | [
"keys = set(keys)\nmatch = {}\nif depth == 1:\n for key in keys:\n value = top_level.get(key, None)\n if value is not None:\n match[key] = value\nelse:\n for _, parsed_key, parsed_value in plist_interface.RecurseKey(top_level, depth=depth):\n if parsed_key in keys:\n ... | <|body_start_0|>
keys = set(keys)
match = {}
if depth == 1:
for key in keys:
value = top_level.get(key, None)
if value is not None:
match[key] = value
else:
for _, parsed_key, parsed_value in plist_interface.Recu... | MacOS user accounts plugin. | MacOSUserAccountsPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MacOSUserAccountsPlugin:
"""MacOS user accounts plugin."""
def _GetKeysDefaultEmpty(self, top_level, keys, depth=1):
"""Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist object. keys (set[str]): names of keys that should be re... | stack_v2_sparse_classes_10k_train_000405 | 10,128 | permissive | [
{
"docstring": "Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist object. keys (set[str]): names of keys that should be returned. depth (int): depth within the plist, where 1 is top level. Returns: dict[str, str]: values of the requested keys.",
"nam... | 3 | null | Implement the Python class `MacOSUserAccountsPlugin` described below.
Class description:
MacOS user accounts plugin.
Method signatures and docstrings:
- def _GetKeysDefaultEmpty(self, top_level, keys, depth=1): Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist... | Implement the Python class `MacOSUserAccountsPlugin` described below.
Class description:
MacOS user accounts plugin.
Method signatures and docstrings:
- def _GetKeysDefaultEmpty(self, top_level, keys, depth=1): Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist... | f9299b8ad0cb2a6bbbd5e65f01d2ba06406c70ac | <|skeleton|>
class MacOSUserAccountsPlugin:
"""MacOS user accounts plugin."""
def _GetKeysDefaultEmpty(self, top_level, keys, depth=1):
"""Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist object. keys (set[str]): names of keys that should be re... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MacOSUserAccountsPlugin:
"""MacOS user accounts plugin."""
def _GetKeysDefaultEmpty(self, top_level, keys, depth=1):
"""Retrieves plist keys, defaulting to empty values. Args: top_level (plistlib._InternalDict): top level plist object. keys (set[str]): names of keys that should be returned. depth... | the_stack_v2_python_sparse | engine/preprocessors/macos.py | dfrc-korea/carpe | train | 75 |
fb11f150c17464687c6b74bcd58c7fcb80635ecc | [
"ret = -1\nfor i in range(len(strs)):\n for j in range(len(strs)):\n if j != i and self.judge(strs[i], strs[j]):\n break\n else:\n ret = max(ret, len(strs[i]))\nreturn ret",
"if len(s2) < len(s1):\n return False\nindex_of_s1 = 0\nindex_of_s2 = 0\nwhile index_of_s1 < len(s1) and i... | <|body_start_0|>
ret = -1
for i in range(len(strs)):
for j in range(len(strs)):
if j != i and self.judge(strs[i], strs[j]):
break
else:
ret = max(ret, len(strs[i]))
return ret
<|end_body_0|>
<|body_start_1|>
if ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findLUSlength(self, strs):
""":type strs: List[str] :rtype: int"""
<|body_0|>
def judge(self, s1, s2):
"""if s1 is a subsequence of s2 :param s1: :param s2: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
ret = -1
for ... | stack_v2_sparse_classes_10k_train_000406 | 1,176 | no_license | [
{
"docstring": ":type strs: List[str] :rtype: int",
"name": "findLUSlength",
"signature": "def findLUSlength(self, strs)"
},
{
"docstring": "if s1 is a subsequence of s2 :param s1: :param s2: :return:",
"name": "judge",
"signature": "def judge(self, s1, s2)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001183 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLUSlength(self, strs): :type strs: List[str] :rtype: int
- def judge(self, s1, s2): if s1 is a subsequence of s2 :param s1: :param s2: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findLUSlength(self, strs): :type strs: List[str] :rtype: int
- def judge(self, s1, s2): if s1 is a subsequence of s2 :param s1: :param s2: :return:
<|skeleton|>
class Soluti... | 70bdd75b6af2e1811c1beab22050c01d28d7373e | <|skeleton|>
class Solution:
def findLUSlength(self, strs):
""":type strs: List[str] :rtype: int"""
<|body_0|>
def judge(self, s1, s2):
"""if s1 is a subsequence of s2 :param s1: :param s2: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def findLUSlength(self, strs):
""":type strs: List[str] :rtype: int"""
ret = -1
for i in range(len(strs)):
for j in range(len(strs)):
if j != i and self.judge(strs[i], strs[j]):
break
else:
ret = max(... | the_stack_v2_python_sparse | python/leetcode/522_Longest_Uncommon_Subsequence_II.py | bobcaoge/my-code | train | 0 | |
56af4f14d7a7bc49058f75a5ffd34e3bf122239b | [
"ss = acm.FStoredScenario.Select(\"name='{0}'\".format(title))\nif len(ss) != 1:\n raise ValueError('Could not find the specified scenario.')\nself.scenario = ss[0].Scenario()",
"scen_dim = self.scenario.ExplicitDimensions()[vector_nr]\nsel_value = lambda x: str(x.Parameter('rs'))\nvec = scen_dim.ShiftVectors(... | <|body_start_0|>
ss = acm.FStoredScenario.Select("name='{0}'".format(title))
if len(ss) != 1:
raise ValueError('Could not find the specified scenario.')
self.scenario = ss[0].Scenario()
<|end_body_0|>
<|body_start_1|>
scen_dim = self.scenario.ExplicitDimensions()[vector_nr]
... | Contains methods that are related to FStoredScenario. | FScenarioUtil | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
<|body_0|>
def get_scenario_vector_as_list(self, v... | stack_v2_sparse_classes_10k_train_000407 | 8,293 | no_license | [
{
"docstring": "Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title",
"name": "__init__",
"signature": "def __init__(self, title)"
},
{
"docstring": "Returns the tuple (title, values) with the vector title and the vector items values",... | 2 | stack_v2_sparse_classes_30k_val_000121 | Implement the Python class `FScenarioUtil` described below.
Class description:
Contains methods that are related to FStoredScenario.
Method signatures and docstrings:
- def __init__(self, title): Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title
- def get... | Implement the Python class `FScenarioUtil` described below.
Class description:
Contains methods that are related to FStoredScenario.
Method signatures and docstrings:
- def __init__(self, title): Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title
- def get... | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | <|skeleton|>
class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
<|body_0|>
def get_scenario_vector_as_list(self, v... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FScenarioUtil:
"""Contains methods that are related to FStoredScenario."""
def __init__(self, title):
"""Sets the scenario attribute to the front arena instance of the FStoredScenario type with the corresponding title"""
ss = acm.FStoredScenario.Select("name='{0}'".format(title))
... | the_stack_v2_python_sparse | Python modules/RiskMatrixViewSimpleReport.py | webclinic017/fa-absa-py3 | train | 0 |
97126404bc1cbec7c9daa3622909b52755830540 | [
"self.encoding_size = encoding_size\nself.policy_model = policy_model\nself.next_visual_in: List[tf.Tensor] = []\nencoded_state, encoded_next_state = self.create_curiosity_encoders()\nself.create_inverse_model(encoded_state, encoded_next_state)\nself.create_forward_model(encoded_state, encoded_next_state)\nself.cre... | <|body_start_0|>
self.encoding_size = encoding_size
self.policy_model = policy_model
self.next_visual_in: List[tf.Tensor] = []
encoded_state, encoded_next_state = self.create_curiosity_encoders()
self.create_inverse_model(encoded_state, encoded_next_state)
self.create_for... | CuriosityModel | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CuriosityModel:
def __init__(self, policy_model: LearningModel, encoding_size: int=128, learning_rate: float=0.0003):
"""Creates the curiosity model for the Curiosity reward Generator :param policy_model: The model being used by the learning policy :param encoding_size: The size of the e... | stack_v2_sparse_classes_10k_train_000408 | 8,093 | permissive | [
{
"docstring": "Creates the curiosity model for the Curiosity reward Generator :param policy_model: The model being used by the learning policy :param encoding_size: The size of the encoding for the Curiosity module :param learning_rate: The learning rate for the curiosity module",
"name": "__init__",
"... | 5 | stack_v2_sparse_classes_30k_train_006115 | Implement the Python class `CuriosityModel` described below.
Class description:
Implement the CuriosityModel class.
Method signatures and docstrings:
- def __init__(self, policy_model: LearningModel, encoding_size: int=128, learning_rate: float=0.0003): Creates the curiosity model for the Curiosity reward Generator :... | Implement the Python class `CuriosityModel` described below.
Class description:
Implement the CuriosityModel class.
Method signatures and docstrings:
- def __init__(self, policy_model: LearningModel, encoding_size: int=128, learning_rate: float=0.0003): Creates the curiosity model for the Curiosity reward Generator :... | 334df1e8afbfff3544413ade46fb12f03556014b | <|skeleton|>
class CuriosityModel:
def __init__(self, policy_model: LearningModel, encoding_size: int=128, learning_rate: float=0.0003):
"""Creates the curiosity model for the Curiosity reward Generator :param policy_model: The model being used by the learning policy :param encoding_size: The size of the e... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CuriosityModel:
def __init__(self, policy_model: LearningModel, encoding_size: int=128, learning_rate: float=0.0003):
"""Creates the curiosity model for the Curiosity reward Generator :param policy_model: The model being used by the learning policy :param encoding_size: The size of the encoding for th... | the_stack_v2_python_sparse | mlagents/trainers/components/reward_signals/curiosity/model.py | Abluceli/HRG-SAC | train | 7 | |
93b3eae173a8cc589faea3e7007c8d4cba236de5 | [
"enc_hex = Encoder.encode_hex(bssid, psk)\nenc_freq = Encoder.encode_frequencies(enc_hex)\nreturn enc_freq",
"bssid = bssid.lower().strip()\npsk = psk.strip()\nmain = MainActivity()\nencoder = DataEncoder()\nshort_bssid = main._to_mac_address(bssid)\nmac = main._gen_mac_bytes(short_bssid)\nencoded = encoder.encod... | <|body_start_0|>
enc_hex = Encoder.encode_hex(bssid, psk)
enc_freq = Encoder.encode_frequencies(enc_hex)
return enc_freq
<|end_body_0|>
<|body_start_1|>
bssid = bssid.lower().strip()
psk = psk.strip()
main = MainActivity()
encoder = DataEncoder()
short_bs... | Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
"""Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer"""
def encode(bssid, psk):
"""Shortcut for: Encoder.encode_hex Encoder.encode_frequencies Encode 'bssid' and '... | stack_v2_sparse_classes_10k_train_000409 | 2,118 | no_license | [
{
"docstring": "Shortcut for: Encoder.encode_hex Encoder.encode_frequencies Encode 'bssid' and 'psk' into 'frequencies'",
"name": "encode",
"signature": "def encode(bssid, psk)"
},
{
"docstring": "Wrapper for: ..voice.MainActivity.MainActivity._to_mac_address ..voice.MainActivity.MainActivity._g... | 3 | stack_v2_sparse_classes_30k_train_003424 | Implement the Python class `Encoder` described below.
Class description:
Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer
Method signatures and docstrings:
- def encode(bssid, psk): Shortcut for: Encoder.e... | Implement the Python class `Encoder` described below.
Class description:
Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer
Method signatures and docstrings:
- def encode(bssid, psk): Shortcut for: Encoder.e... | 7d370342f34e26e6e66718ae397eb1d81253cd8a | <|skeleton|>
class Encoder:
"""Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer"""
def encode(bssid, psk):
"""Shortcut for: Encoder.encode_hex Encoder.encode_frequencies Encode 'bssid' and '... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Encoder:
"""Essentially a minimalist wrapper for ..voice.encoder.DataEncoder.DataEncoder Utilising: ..voice.MainActivity.MainActivity ..voice.encoder.VoicePlayer.VoicePlayer"""
def encode(bssid, psk):
"""Shortcut for: Encoder.encode_hex Encoder.encode_frequencies Encode 'bssid' and 'psk' into 'fr... | the_stack_v2_python_sparse | yatwin/onekeywifi/encoder/Encoder.py | andre95d/python-yatwin | train | 0 |
0de177fd79e2d4f2177fca3b65bfe114eaa9c092 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UserExperienceAnalyticsOverview()",
"from .entity import Entity\nfrom .user_experience_analytics_insight import UserExperienceAnalyticsInsight\nfrom .entity import Entity\nfrom .user_experience_analytics_insight import UserExperienceAn... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UserExperienceAnalyticsOverview()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .user_experience_analytics_insight import UserExperienceAnalyticsInsight
from .e... | The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories. | UserExperienceAnalyticsOverview | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserExperienceAnalyticsOverview:
"""The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsOverview:
... | stack_v2_sparse_classes_10k_train_000410 | 2,549 | 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: UserExperienceAnalyticsOverview",
"name": "create_from_discriminator_value",
"signature": "def create_from_d... | 3 | stack_v2_sparse_classes_30k_train_003813 | Implement the Python class `UserExperienceAnalyticsOverview` described below.
Class description:
The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: O... | Implement the Python class `UserExperienceAnalyticsOverview` described below.
Class description:
The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: O... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UserExperienceAnalyticsOverview:
"""The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsOverview:
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserExperienceAnalyticsOverview:
"""The user experience analytics overview entity contains the overall score and the scores and insights of every metric of all categories."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserExperienceAnalyticsOverview:
"""Creates a... | the_stack_v2_python_sparse | msgraph/generated/models/user_experience_analytics_overview.py | microsoftgraph/msgraph-sdk-python | train | 135 |
09ceeff88db61da4ecf6a84878bedc5302bdf39a | [
"if self.request.version == 'v6':\n return IngestDetailsSerializerV6\nelif self.request.version == 'v7':\n return IngestDetailsSerializerV6",
"if request.version == 'v6' or request.version == 'v7':\n return self.retrieve_v6(request, ingest_id)\nraise Http404()",
"try:\n is_staff = False\n if requ... | <|body_start_0|>
if self.request.version == 'v6':
return IngestDetailsSerializerV6
elif self.request.version == 'v7':
return IngestDetailsSerializerV6
<|end_body_0|>
<|body_start_1|>
if request.version == 'v6' or request.version == 'v7':
return self.retrieve_... | This view is the endpoint for retrieving/updating details of an ingest. | IngestDetailsView | [
"LicenseRef-scancode-free-unknown",
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IngestDetailsView:
"""This view is the endpoint for retrieving/updating details of an ingest."""
def get_serializer_class(self):
"""Returns the appropriate serializer based off the requests version of the REST API"""
<|body_0|>
def retrieve(self, request, ingest_id=None,... | stack_v2_sparse_classes_10k_train_000411 | 30,689 | permissive | [
{
"docstring": "Returns the appropriate serializer based off the requests version of the REST API",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "Determine api version and call specific method :param request: the HTTP GET request :type request: ... | 3 | null | Implement the Python class `IngestDetailsView` described below.
Class description:
This view is the endpoint for retrieving/updating details of an ingest.
Method signatures and docstrings:
- def get_serializer_class(self): Returns the appropriate serializer based off the requests version of the REST API
- def retriev... | Implement the Python class `IngestDetailsView` described below.
Class description:
This view is the endpoint for retrieving/updating details of an ingest.
Method signatures and docstrings:
- def get_serializer_class(self): Returns the appropriate serializer based off the requests version of the REST API
- def retriev... | 28618aee07ceed9e4a6eb7b8d0e6f05b31d8fd6b | <|skeleton|>
class IngestDetailsView:
"""This view is the endpoint for retrieving/updating details of an ingest."""
def get_serializer_class(self):
"""Returns the appropriate serializer based off the requests version of the REST API"""
<|body_0|>
def retrieve(self, request, ingest_id=None,... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IngestDetailsView:
"""This view is the endpoint for retrieving/updating details of an ingest."""
def get_serializer_class(self):
"""Returns the appropriate serializer based off the requests version of the REST API"""
if self.request.version == 'v6':
return IngestDetailsSeriali... | the_stack_v2_python_sparse | scale/ingest/views.py | kfconsultant/scale | train | 0 |
18bfc8b192f6ec564224c5a719f370957497d070 | [
"article = check_article.retrieve_article(slug)\nhighlight_data = request.data\narticle_field = highlight_data.get('field')\nindex_start = highlight_data.get('start_index')\nindex_end = highlight_data.get('end_index')\nvalidate_field(article_field)\nfield_data = check_field(article, article_field)\nvalidate_index(f... | <|body_start_0|>
article = check_article.retrieve_article(slug)
highlight_data = request.data
article_field = highlight_data.get('field')
index_start = highlight_data.get('start_index')
index_end = highlight_data.get('end_index')
validate_field(article_field)
fiel... | Highlight and comment on text views | HighlightAPIView | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HighlightAPIView:
"""Highlight and comment on text views"""
def post(self, request, slug):
"""Create a text Highlight"""
<|body_0|>
def get(self, request, slug):
"""Fetch all highlighted text for a single article for user"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_10k_train_000412 | 4,382 | permissive | [
{
"docstring": "Create a text Highlight",
"name": "post",
"signature": "def post(self, request, slug)"
},
{
"docstring": "Fetch all highlighted text for a single article for user",
"name": "get",
"signature": "def get(self, request, slug)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003069 | Implement the Python class `HighlightAPIView` described below.
Class description:
Highlight and comment on text views
Method signatures and docstrings:
- def post(self, request, slug): Create a text Highlight
- def get(self, request, slug): Fetch all highlighted text for a single article for user | Implement the Python class `HighlightAPIView` described below.
Class description:
Highlight and comment on text views
Method signatures and docstrings:
- def post(self, request, slug): Create a text Highlight
- def get(self, request, slug): Fetch all highlighted text for a single article for user
<|skeleton|>
class ... | d0f73bf166ad41f243cff6d82caced2f9facf2f9 | <|skeleton|>
class HighlightAPIView:
"""Highlight and comment on text views"""
def post(self, request, slug):
"""Create a text Highlight"""
<|body_0|>
def get(self, request, slug):
"""Fetch all highlighted text for a single article for user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class HighlightAPIView:
"""Highlight and comment on text views"""
def post(self, request, slug):
"""Create a text Highlight"""
article = check_article.retrieve_article(slug)
highlight_data = request.data
article_field = highlight_data.get('field')
index_start = highlight... | the_stack_v2_python_sparse | authors/apps/highlights/views.py | andela/ah-the-immortals-backend | train | 3 |
e9b7380f22a3d65fbcbd8fb6363b7a2ad1e58156 | [
"self._sess = sess\nself._grammar = grammar\nself._max_length = max_length\nconditions = {}\nif symbolic_properties_dict is not None:\n conditions.update({key: np.array([value], dtype=np.float32) for key, value in symbolic_properties_dict.iteritems()})\nself._conditions = conditions",
"if not isinstance(state,... | <|body_start_0|>
self._sess = sess
self._grammar = grammar
self._max_length = max_length
conditions = {}
if symbolic_properties_dict is not None:
conditions.update({key: np.array([value], dtype=np.float32) for key, value in symbolic_properties_dict.iteritems()})
... | Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model. | NeuralProductionRuleAppendPolicy | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NeuralProductionRuleAppendPolicy:
"""Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model."""
def __init__(self, sess, grammar, max_length, symbolic_properties_dict):
"""Initializer. Ar... | stack_v2_sparse_classes_10k_train_000413 | 12,289 | permissive | [
{
"docstring": "Initializer. Args: sess: tf.Session, the session contains the trained model to predict next production rule from input partial sequence. If None, each step will be selected randomly. grammar: arithmetic_grammar.Grammar object. max_length: Integer, the max length of production rule sequence. symb... | 2 | stack_v2_sparse_classes_30k_train_002371 | Implement the Python class `NeuralProductionRuleAppendPolicy` described below.
Class description:
Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model.
Method signatures and docstrings:
- def __init__(self, sess, gramma... | Implement the Python class `NeuralProductionRuleAppendPolicy` described below.
Class description:
Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model.
Method signatures and docstrings:
- def __init__(self, sess, gramma... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class NeuralProductionRuleAppendPolicy:
"""Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model."""
def __init__(self, sess, grammar, max_length, symbolic_properties_dict):
"""Initializer. Ar... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class NeuralProductionRuleAppendPolicy:
"""Appends a valid production rule on existing list of production rules. The probabilities of the actions will be determined by the partial sequence model."""
def __init__(self, sess, grammar, max_length, symbolic_properties_dict):
"""Initializer. Args: sess: tf.... | the_stack_v2_python_sparse | neural_guided_symbolic_regression/models/mcts.py | Jimmy-INL/google-research | train | 1 |
244437b8afbe5873d9918e7369ad48d5232f3df4 | [
"roles = self.get_queryset().all()\nserialized_roles = self.schema.dump(roles, many=True)\nreturn response(serialized_roles, SUCCESS_MESSAGES['FETCHED'].format('roles'))",
"request_json = request.get_json()\nrole_details = self.schema.load(request_json)\nrole_details['name'] = role_details['name'].strip().lower()... | <|body_start_0|>
roles = self.get_queryset().all()
serialized_roles = self.schema.dump(roles, many=True)
return response(serialized_roles, SUCCESS_MESSAGES['FETCHED'].format('roles'))
<|end_body_0|>
<|body_start_1|>
request_json = request.get_json()
role_details = self.schema.lo... | Roles Resource | RoleListResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RoleListResource:
"""Roles Resource"""
def get(self):
"""Get roles"""
<|body_0|>
def post(self):
"""Create a new role"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
roles = self.get_queryset().all()
serialized_roles = self.schema.dump(r... | stack_v2_sparse_classes_10k_train_000414 | 7,412 | permissive | [
{
"docstring": "Get roles",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Create a new role",
"name": "post",
"signature": "def post(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003551 | Implement the Python class `RoleListResource` described below.
Class description:
Roles Resource
Method signatures and docstrings:
- def get(self): Get roles
- def post(self): Create a new role | Implement the Python class `RoleListResource` described below.
Class description:
Roles Resource
Method signatures and docstrings:
- def get(self): Get roles
- def post(self): Create a new role
<|skeleton|>
class RoleListResource:
"""Roles Resource"""
def get(self):
"""Get roles"""
<|body_0|... | c5cf6baf60e95a7790156c85e37c76c697efd585 | <|skeleton|>
class RoleListResource:
"""Roles Resource"""
def get(self):
"""Get roles"""
<|body_0|>
def post(self):
"""Create a new role"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RoleListResource:
"""Roles Resource"""
def get(self):
"""Get roles"""
roles = self.get_queryset().all()
serialized_roles = self.schema.dump(roles, many=True)
return response(serialized_roles, SUCCESS_MESSAGES['FETCHED'].format('roles'))
def post(self):
"""Crea... | the_stack_v2_python_sparse | src/views/role.py | Nardri/rbac-service | train | 0 |
5242f7cee917ad5ba54d93b816adc91da09ae43b | [
"def dfs(root):\n if not root:\n return ''\n left = dfs(root.left)\n right = dfs(root.right)\n return left + ',' + right + ',' + str(root.val)\nreturn dfs(root)",
"data = [int(x) for x in data.split(',')]\n\ndef helper(lower=float('-inf'), upper=float('+inf')):\n if not data or data[-1] < lo... | <|body_start_0|>
def dfs(root):
if not root:
return ''
left = dfs(root.left)
right = dfs(root.right)
return left + ',' + right + ',' + str(root.val)
return dfs(root)
<|end_body_0|>
<|body_start_1|>
data = [int(x) for x in data.spli... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def dfs(root):... | stack_v2_sparse_classes_10k_train_000415 | 955 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_006374 | 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... | 0566622daa5849f7deb0cfdc6de2282fb3127f4c | <|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_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
def dfs(root):
if not root:
return ''
left = dfs(root.left)
right = dfs(root.right)
return left + ',' + right + ',' + str(root.val)
... | the_stack_v2_python_sparse | python/树/449. 序列化和反序列化二叉搜索树.py | Weless/leetcode | train | 0 | |
22fcc0cd69accb362d71f418cc4e41c05f9ee297 | [
"app_label = obj.category._meta.app_label\nmodel_name = obj.category._meta.model_name\nlink = reverse('admin:%s_%s_change' % (app_label, model_name), kwargs={'object_id': obj.category_id})\nreturn format_html(u'<a href=\"%s\">%s</a>' % (link, obj.category))",
"form = super().get_form(request, obj=None, change=Fal... | <|body_start_0|>
app_label = obj.category._meta.app_label
model_name = obj.category._meta.model_name
link = reverse('admin:%s_%s_change' % (app_label, model_name), kwargs={'object_id': obj.category_id})
return format_html(u'<a href="%s">%s</a>' % (link, obj.category))
<|end_body_0|>
<|b... | ArticleAdmin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArticleAdmin:
def category_link(self, obj):
"""链接到文章所属分类, obj是一个文章对象"""
<|body_0|>
def get_form(self, request, obj=None, change=False, **kwargs):
"""文章详情页内选择作者, 只有超级管理员才会被filter出来 Return a Form class for use in the admin add view."""
<|body_1|>
def get_q... | stack_v2_sparse_classes_10k_train_000416 | 10,733 | permissive | [
{
"docstring": "链接到文章所属分类, obj是一个文章对象",
"name": "category_link",
"signature": "def category_link(self, obj)"
},
{
"docstring": "文章详情页内选择作者, 只有超级管理员才会被filter出来 Return a Form class for use in the admin add view.",
"name": "get_form",
"signature": "def get_form(self, request, obj=None, chan... | 5 | stack_v2_sparse_classes_30k_train_002514 | Implement the Python class `ArticleAdmin` described below.
Class description:
Implement the ArticleAdmin class.
Method signatures and docstrings:
- def category_link(self, obj): 链接到文章所属分类, obj是一个文章对象
- def get_form(self, request, obj=None, change=False, **kwargs): 文章详情页内选择作者, 只有超级管理员才会被filter出来 Return a Form class fo... | Implement the Python class `ArticleAdmin` described below.
Class description:
Implement the ArticleAdmin class.
Method signatures and docstrings:
- def category_link(self, obj): 链接到文章所属分类, obj是一个文章对象
- def get_form(self, request, obj=None, change=False, **kwargs): 文章详情页内选择作者, 只有超级管理员才会被filter出来 Return a Form class fo... | 0fcf3709fabeee49874343b3a4ab80582698c466 | <|skeleton|>
class ArticleAdmin:
def category_link(self, obj):
"""链接到文章所属分类, obj是一个文章对象"""
<|body_0|>
def get_form(self, request, obj=None, change=False, **kwargs):
"""文章详情页内选择作者, 只有超级管理员才会被filter出来 Return a Form class for use in the admin add view."""
<|body_1|>
def get_q... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ArticleAdmin:
def category_link(self, obj):
"""链接到文章所属分类, obj是一个文章对象"""
app_label = obj.category._meta.app_label
model_name = obj.category._meta.model_name
link = reverse('admin:%s_%s_change' % (app_label, model_name), kwargs={'object_id': obj.category_id})
return forma... | the_stack_v2_python_sparse | blog/admin.py | enjoy-binbin/Django-blog | train | 113 | |
ad3f4df2546fd6e40267041de63f5de166c06f9d | [
"vowel = 'AEIOUaeiou'\ns = list(s)\ni, j = (0, len(s) - 1)\nwhile i < j:\n while s[i] not in vowel and i < j:\n i += 1\n while s[j] not in vowel and i < j:\n j -= 1\n s[i], s[j] = (s[j], s[i])\n i, j = (i + 1, j - 1)\nreturn ''.join(s)",
"if len(s) == 0:\n return s\nvolwels = set('aei... | <|body_start_0|>
vowel = 'AEIOUaeiou'
s = list(s)
i, j = (0, len(s) - 1)
while i < j:
while s[i] not in vowel and i < j:
i += 1
while s[j] not in vowel and i < j:
j -= 1
s[i], s[j] = (s[j], s[i])
i, j = (i + ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseVowels(self, s):
"""前后指针法 :type s: str :rtype: str"""
<|body_0|>
def reverseVowels_timeout(self, s):
"""超时算法! 一个case通不过, O（2n） :type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
vowel = 'AEIOUaeiou'
... | stack_v2_sparse_classes_10k_train_000417 | 1,797 | no_license | [
{
"docstring": "前后指针法 :type s: str :rtype: str",
"name": "reverseVowels",
"signature": "def reverseVowels(self, s)"
},
{
"docstring": "超时算法! 一个case通不过, O（2n） :type s: str :rtype: str",
"name": "reverseVowels_timeout",
"signature": "def reverseVowels_timeout(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006802 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseVowels(self, s): 前后指针法 :type s: str :rtype: str
- def reverseVowels_timeout(self, s): 超时算法! 一个case通不过, O（2n） :type s: str :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseVowels(self, s): 前后指针法 :type s: str :rtype: str
- def reverseVowels_timeout(self, s): 超时算法! 一个case通不过, O（2n） :type s: str :rtype: str
<|skeleton|>
class Solution:
... | e4d21223c85b622b5a905d1a056dfb2f300964b1 | <|skeleton|>
class Solution:
def reverseVowels(self, s):
"""前后指针法 :type s: str :rtype: str"""
<|body_0|>
def reverseVowels_timeout(self, s):
"""超时算法! 一个case通不过, O（2n） :type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def reverseVowels(self, s):
"""前后指针法 :type s: str :rtype: str"""
vowel = 'AEIOUaeiou'
s = list(s)
i, j = (0, len(s) - 1)
while i < j:
while s[i] not in vowel and i < j:
i += 1
while s[j] not in vowel and i < j:
... | the_stack_v2_python_sparse | Algorithms/345.Reverse_Vowels_of_a_String/reverse_vowels_of_a_string.py | gosyang/leetcode | train | 1 | |
c4c280497a3fbe85c495333b651fa757d0cf8658 | [
"def to_tree(i, j):\n if j < i:\n return None\n m = i + (j - i) // 2\n return TreeNode(nums[m], left=to_tree(i, m - 1), right=to_tree(m + 1, j))\nreturn to_tree(0, len(nums) - 1)",
"def build(i, j):\n if j < i:\n return None\n m = i + (j - i) // 2\n root = TreeNode(nums[m])\n ro... | <|body_start_0|>
def to_tree(i, j):
if j < i:
return None
m = i + (j - i) // 2
return TreeNode(nums[m], left=to_tree(i, m - 1), right=to_tree(m + 1, j))
return to_tree(0, len(nums) - 1)
<|end_body_0|>
<|body_start_1|>
def build(i, j):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
"""08/19/2021 12:17"""
<|body_0|>
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
"""08/21/2022 15:11"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def... | stack_v2_sparse_classes_10k_train_000418 | 2,331 | no_license | [
{
"docstring": "08/19/2021 12:17",
"name": "sortedArrayToBST",
"signature": "def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]"
},
{
"docstring": "08/21/2022 15:11",
"name": "sortedArrayToBST",
"signature": "def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]: 08/19/2021 12:17
- def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]: 08/21/2022 15:11 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]: 08/19/2021 12:17
- def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]: 08/21/2022 15:11
<|skele... | 1389a009a02e90e8700a7a00e0b7f797c129cdf4 | <|skeleton|>
class Solution:
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
"""08/19/2021 12:17"""
<|body_0|>
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
"""08/21/2022 15:11"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def sortedArrayToBST(self, nums: List[int]) -> Optional[TreeNode]:
"""08/19/2021 12:17"""
def to_tree(i, j):
if j < i:
return None
m = i + (j - i) // 2
return TreeNode(nums[m], left=to_tree(i, m - 1), right=to_tree(m + 1, j))
... | the_stack_v2_python_sparse | leetcode/solved/108_Convert_Sorted_Array_to_Binary_Search_Tree/solution.py | sungminoh/algorithms | train | 0 | |
5395b86cb4f2e05b9b10d4e6b31f2bfac0a2df68 | [
"parser.add_argument('--network', metavar='NETWORK', required=True, help='The network in the current project to be peered with the service')\nparser.add_argument('--service', metavar='SERVICE', default='servicenetworking.googleapis.com', help='The service to connect to')\nparser.add_argument('--ranges', metavar='RA... | <|body_start_0|>
parser.add_argument('--network', metavar='NETWORK', required=True, help='The network in the current project to be peered with the service')
parser.add_argument('--service', metavar='SERVICE', default='servicenetworking.googleapis.com', help='The service to connect to')
parser.ad... | Update a private service connection to a service for a project network. | Update | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Update:
"""Update a private service connection to a service for a project network."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this comman... | stack_v2_sparse_classes_10k_train_000419 | 4,097 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring"... | 2 | null | Implement the Python class `Update` described below.
Class description:
Update a private service connection to a service for a project network.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to ad... | Implement the Python class `Update` described below.
Class description:
Update a private service connection to a service for a project network.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to ad... | 85bb264e273568b5a0408f733b403c56373e2508 | <|skeleton|>
class Update:
"""Update a private service connection to a service for a project network."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this comman... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Update:
"""Update a private service connection to a service for a project network."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional... | the_stack_v2_python_sparse | google-cloud-sdk/lib/surface/services/vpc_peerings/update.py | bopopescu/socialliteapp | train | 0 |
3093455e886f371492c9bb274c3b6e0f534eb14b | [
"prefix_sum_count = {}\nprefix_sum_count[0] = 1\nreturn self.helper(root, prefix_sum_count, sum, 0)",
"if not node:\n return 0\nres = 0\ncur_sum += node.val\nres += prefix_sum_count.get(cur_sum - target, 0)\nprefix_sum_count[cur_sum] = prefix_sum_count.get(cur_sum, 0) + 1\nres += self.helper(node.left, prefix_... | <|body_start_0|>
prefix_sum_count = {}
prefix_sum_count[0] = 1
return self.helper(root, prefix_sum_count, sum, 0)
<|end_body_0|>
<|body_start_1|>
if not node:
return 0
res = 0
cur_sum += node.val
res += prefix_sum_count.get(cur_sum - target, 0)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def pathSum(self, root, sum):
"""Args: root: TreeNode sum: int Return: int"""
<|body_0|>
def helper(self, node, prefix_sum_count, target, cur_sum):
"""Args: node: TreeNode prefix_sum_count: dict{int: int} target: int cur_sum: int Return: int"""
<|bo... | stack_v2_sparse_classes_10k_train_000420 | 1,878 | no_license | [
{
"docstring": "Args: root: TreeNode sum: int Return: int",
"name": "pathSum",
"signature": "def pathSum(self, root, sum)"
},
{
"docstring": "Args: node: TreeNode prefix_sum_count: dict{int: int} target: int cur_sum: int Return: int",
"name": "helper",
"signature": "def helper(self, node... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def pathSum(self, root, sum): Args: root: TreeNode sum: int Return: int
- def helper(self, node, prefix_sum_count, target, cur_sum): Args: node: TreeNode prefix_sum_count: dict{i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def pathSum(self, root, sum): Args: root: TreeNode sum: int Return: int
- def helper(self, node, prefix_sum_count, target, cur_sum): Args: node: TreeNode prefix_sum_count: dict{i... | 101bce2fac8b188a4eb2f5e017293d21ad0ecb21 | <|skeleton|>
class Solution:
def pathSum(self, root, sum):
"""Args: root: TreeNode sum: int Return: int"""
<|body_0|>
def helper(self, node, prefix_sum_count, target, cur_sum):
"""Args: node: TreeNode prefix_sum_count: dict{int: int} target: int cur_sum: int Return: int"""
<|bo... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def pathSum(self, root, sum):
"""Args: root: TreeNode sum: int Return: int"""
prefix_sum_count = {}
prefix_sum_count[0] = 1
return self.helper(root, prefix_sum_count, sum, 0)
def helper(self, node, prefix_sum_count, target, cur_sum):
"""Args: node: TreeNo... | the_stack_v2_python_sparse | code/437. 路径总和 III.py | AiZhanghan/Leetcode | train | 0 | |
f5d152942a426e5154f715a2c4f16e0228ac1ef9 | [
"key_file = tempfile.NamedTemporaryFile()\nkey_file.write(test_crypto.TEST_PRIVATE_KEY_PEM)\nkey_file.flush()\ncrypto = util.read_private_key(key_file.name)\nself.assertEqual(test_crypto.TEST_PRIVATE_KEY_X, crypto.x)\nkey_file.close()",
"key_file = tempfile.NamedTemporaryFile()\nkey_file.write(TEST_SECT163K1_PRIV... | <|body_start_0|>
key_file = tempfile.NamedTemporaryFile()
key_file.write(test_crypto.TEST_PRIVATE_KEY_PEM)
key_file.flush()
crypto = util.read_private_key(key_file.name)
self.assertEqual(test_crypto.TEST_PRIVATE_KEY_X, crypto.x)
key_file.close()
<|end_body_0|>
<|body_sta... | TestReadPrivateKey | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestReadPrivateKey:
def test_read_private_key(self):
"""Test reading the signing key from a file."""
<|body_0|>
def test_read_private_key_invalid_curve(self):
"""Test that we require NIST384p for the signing key."""
<|body_1|>
def test_read_private_key_i... | stack_v2_sparse_classes_10k_train_000421 | 6,083 | permissive | [
{
"docstring": "Test reading the signing key from a file.",
"name": "test_read_private_key",
"signature": "def test_read_private_key(self)"
},
{
"docstring": "Test that we require NIST384p for the signing key.",
"name": "test_read_private_key_invalid_curve",
"signature": "def test_read_p... | 3 | stack_v2_sparse_classes_30k_train_005541 | Implement the Python class `TestReadPrivateKey` described below.
Class description:
Implement the TestReadPrivateKey class.
Method signatures and docstrings:
- def test_read_private_key(self): Test reading the signing key from a file.
- def test_read_private_key_invalid_curve(self): Test that we require NIST384p for ... | Implement the Python class `TestReadPrivateKey` described below.
Class description:
Implement the TestReadPrivateKey class.
Method signatures and docstrings:
- def test_read_private_key(self): Test reading the signing key from a file.
- def test_read_private_key_invalid_curve(self): Test that we require NIST384p for ... | 936355508212b55ba9d34aeec41a0aadb96ac645 | <|skeleton|>
class TestReadPrivateKey:
def test_read_private_key(self):
"""Test reading the signing key from a file."""
<|body_0|>
def test_read_private_key_invalid_curve(self):
"""Test that we require NIST384p for the signing key."""
<|body_1|>
def test_read_private_key_i... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestReadPrivateKey:
def test_read_private_key(self):
"""Test reading the signing key from a file."""
key_file = tempfile.NamedTemporaryFile()
key_file.write(test_crypto.TEST_PRIVATE_KEY_PEM)
key_file.flush()
crypto = util.read_private_key(key_file.name)
self.ass... | the_stack_v2_python_sparse | brkt_cli/test_util.py | ramyabrkt/brkt-cli | train | 0 | |
c0fe732d4db0ead1857c99d89e678602c7a718ea | [
"self.subject_name = 'client'\nSubject.__init__(self, profile, self.subject_name)\nself.api_base_url = self.profile.platform_url + '/api/v1/client'",
"url = self.api_base_url\nparams = {'size': page_size, 'page': page_number}\ntry:\n raw_response = self.request_handler.make_request(ApiRequestHandler.GET, url, ... | <|body_start_0|>
self.subject_name = 'client'
Subject.__init__(self, profile, self.subject_name)
self.api_base_url = self.profile.platform_url + '/api/v1/client'
<|end_body_0|>
<|body_start_1|>
url = self.api_base_url
params = {'size': page_size, 'page': page_number}
try... | Clients class | Clients | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Clients:
"""Clients class"""
def __init__(self, profile):
"""Initialization of Clients object. :param profile: Profile Object :type profile: _profile"""
<|body_0|>
def get_clients(self, page_size=500, page_number=0):
"""Gets all clients associated with the API ke... | stack_v2_sparse_classes_10k_train_000422 | 3,806 | permissive | [
{
"docstring": "Initialization of Clients object. :param profile: Profile Object :type profile: _profile",
"name": "__init__",
"signature": "def __init__(self, profile)"
},
{
"docstring": "Gets all clients associated with the API key. :param page_size: Number of results to be returned on each pa... | 4 | stack_v2_sparse_classes_30k_train_003606 | Implement the Python class `Clients` described below.
Class description:
Clients class
Method signatures and docstrings:
- def __init__(self, profile): Initialization of Clients object. :param profile: Profile Object :type profile: _profile
- def get_clients(self, page_size=500, page_number=0): Gets all clients assoc... | Implement the Python class `Clients` described below.
Class description:
Clients class
Method signatures and docstrings:
- def __init__(self, profile): Initialization of Clients object. :param profile: Profile Object :type profile: _profile
- def get_clients(self, page_size=500, page_number=0): Gets all clients assoc... | 1564cd93505a4d4ccd546f68310e0a09f888e590 | <|skeleton|>
class Clients:
"""Clients class"""
def __init__(self, profile):
"""Initialization of Clients object. :param profile: Profile Object :type profile: _profile"""
<|body_0|>
def get_clients(self, page_size=500, page_number=0):
"""Gets all clients associated with the API ke... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Clients:
"""Clients class"""
def __init__(self, profile):
"""Initialization of Clients object. :param profile: Profile Object :type profile: _profile"""
self.subject_name = 'client'
Subject.__init__(self, profile, self.subject_name)
self.api_base_url = self.profile.platfor... | the_stack_v2_python_sparse | lib/risksense_api/__subject/__clients/__clients.py | mtornga/risksense_tools | train | 0 |
90315a0baf1c422e9797f94c4e0ed8ffed50c51d | [
"if not intervals:\n return []\nintervals.sort(key=lambda x: x.start)\noutput = []\ncurrent_interval = Interval(intervals[0].start, intervals[0].end)\nfor interval in intervals[1:]:\n if interval.start > current_interval.end:\n output.append(current_interval)\n current_interval = Interval(interv... | <|body_start_0|>
if not intervals:
return []
intervals.sort(key=lambda x: x.start)
output = []
current_interval = Interval(intervals[0].start, intervals[0].end)
for interval in intervals[1:]:
if interval.start > current_interval.end:
output... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_0|>
def merge_verbose(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_10k_train_000423 | 2,933 | no_license | [
{
"docstring": ":type intervals: List[Interval] :rtype: List[Interval]",
"name": "merge",
"signature": "def merge(self, intervals)"
},
{
"docstring": ":type intervals: List[Interval] :rtype: List[Interval]",
"name": "merge_verbose",
"signature": "def merge_verbose(self, intervals)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004178 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
- def merge_verbose(self, intervals): :type intervals: List[Interval] :rtype: List[Interval] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def merge(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
- def merge_verbose(self, intervals): :type intervals: List[Interval] :rtype: List[Interval]
<... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_0|>
def merge_verbose(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def merge(self, intervals):
""":type intervals: List[Interval] :rtype: List[Interval]"""
if not intervals:
return []
intervals.sort(key=lambda x: x.start)
output = []
current_interval = Interval(intervals[0].start, intervals[0].end)
for int... | the_stack_v2_python_sparse | src/lt_56.py | oxhead/CodingYourWay | train | 0 | |
6f58f47950723cbe3c286397077abbc51661877d | [
"func = self._module.learning_curve\ndata = self._data\ntarget = self._target\ntr_size, tr_score, te_score = func(estimator, *args, X=data.values, y=target.values, **kwargs)\nreturn (tr_size, tr_score, te_score)",
"func = self._module.validation_curve\ndata = self._data\ntarget = self._target\ntr_score, te_score ... | <|body_start_0|>
func = self._module.learning_curve
data = self._data
target = self._target
tr_size, tr_score, te_score = func(estimator, *args, X=data.values, y=target.values, **kwargs)
return (tr_size, tr_score, te_score)
<|end_body_0|>
<|body_start_1|>
func = self._mo... | Deprecated. Accessor to ``sklearn.learning_curve``. | LearningCurveMethods | [
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LearningCurveMethods:
"""Deprecated. Accessor to ``sklearn.learning_curve``."""
def learning_curve(self, estimator, *args, **kwargs):
"""Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFrame.data`` - ``y``: ``ModelFrame.target``"""
<|bod... | stack_v2_sparse_classes_10k_train_000424 | 1,422 | permissive | [
{
"docstring": "Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFrame.data`` - ``y``: ``ModelFrame.target``",
"name": "learning_curve",
"signature": "def learning_curve(self, estimator, *args, **kwargs)"
},
{
"docstring": "Call ``sklearn.learning_curve.vali... | 2 | null | Implement the Python class `LearningCurveMethods` described below.
Class description:
Deprecated. Accessor to ``sklearn.learning_curve``.
Method signatures and docstrings:
- def learning_curve(self, estimator, *args, **kwargs): Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFra... | Implement the Python class `LearningCurveMethods` described below.
Class description:
Deprecated. Accessor to ``sklearn.learning_curve``.
Method signatures and docstrings:
- def learning_curve(self, estimator, *args, **kwargs): Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFra... | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | <|skeleton|>
class LearningCurveMethods:
"""Deprecated. Accessor to ``sklearn.learning_curve``."""
def learning_curve(self, estimator, *args, **kwargs):
"""Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFrame.data`` - ``y``: ``ModelFrame.target``"""
<|bod... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LearningCurveMethods:
"""Deprecated. Accessor to ``sklearn.learning_curve``."""
def learning_curve(self, estimator, *args, **kwargs):
"""Call ``sklearn.lerning_curve.learning_curve`` using automatic mapping. - ``X``: ``ModelFrame.data`` - ``y``: ``ModelFrame.target``"""
func = self._modul... | the_stack_v2_python_sparse | lib/python2.7/site-packages/pandas_ml/skaccessors/learning_curve.py | wangyum/Anaconda | train | 11 |
396eaeace6c7022357e6e014ffe3947b8fc36954 | [
"type_id = self.data.resource_type_id or -1\nquery = Query(ResourceType.collection, service_id=self._client.service_id)\nquery.add_term(field=ResourceType.id_field, value=type_id)\nreturn InstanceProxy(ResourceType, query, client=self._client)",
"query = Query(AbilityType.collection, service_id=self._client.servi... | <|body_start_0|>
type_id = self.data.resource_type_id or -1
query = Query(ResourceType.collection, service_id=self._client.service_id)
query.add_term(field=ResourceType.id_field, value=type_id)
return InstanceProxy(ResourceType, query, client=self._client)
<|end_body_0|>
<|body_start_1|... | An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspond to is currently undocumented due to the lack of links between abilities ... | Ability | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ability:
"""An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspond to is currently undocumented due to t... | stack_v2_sparse_classes_10k_train_000425 | 9,409 | permissive | [
{
"docstring": "Return the resource type used by this ability, if any. This returns an :class:`auraxium.InstanceProxy`.",
"name": "resource_type",
"signature": "def resource_type(self) -> InstanceProxy[ResourceType]"
},
{
"docstring": "Return the ability type of this ability. This returns an :cl... | 2 | stack_v2_sparse_classes_30k_train_004912 | Implement the Python class `Ability` described below.
Class description:
An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspon... | Implement the Python class `Ability` described below.
Class description:
An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspon... | 23dcf927a199c8d7c917d89fe96b470a34cf4bba | <|skeleton|>
class Ability:
"""An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspond to is currently undocumented due to t... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Ability:
"""An ability triggered by a character or vehicle. See the corresponding :class:`~auraxium.ps2.AbilityType` instance via the :meth:`Ability.type` method for information on generic parameters. .. note:: The in-game mechanics these abilities correspond to is currently undocumented due to the lack of li... | the_stack_v2_python_sparse | auraxium/ps2/_ability.py | leonhard-s/auraxium | train | 29 |
45a2b73b5b66b0059ee6dcbfeac393737c946a39 | [
"super().__init__(pos_enc_class)\nself.conv = nn.Sequential(Conv2D(1, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU())\nself.linear = Linear(odim * ((((idim - 1) // 2 - 1) // 2 - 1) // 2), odim)\nself.subsampling_rate = 8\nself.right_context = 14",
"x = x.unsqueeze... | <|body_start_0|>
super().__init__(pos_enc_class)
self.conv = nn.Sequential(Conv2D(1, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU())
self.linear = Linear(odim * ((((idim - 1) // 2 - 1) // 2 - 1) // 2), odim)
self.subsampling_rate = 8
... | Convolutional 2D subsampling (to 1/8 length). | Conv2dSubsampling8 | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimensio... | stack_v2_sparse_classes_10k_train_000426 | 11,942 | permissive | [
{
"docstring": "Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimension. dropout_rate (float): Dropout rate.",
"name": "__init__",
"signature": "def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding)"
},... | 2 | stack_v2_sparse_classes_30k_train_006607 | Implement the Python class `Conv2dSubsampling8` described below.
Class description:
Convolutional 2D subsampling (to 1/8 length).
Method signatures and docstrings:
- def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding): Construct an Conv2dSubsampling8 object. Args:... | Implement the Python class `Conv2dSubsampling8` described below.
Class description:
Convolutional 2D subsampling (to 1/8 length).
Method signatures and docstrings:
- def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding): Construct an Conv2dSubsampling8 object. Args:... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimensio... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimension. dropout_ra... | the_stack_v2_python_sparse | paddlespeech/s2t/modules/subsampling.py | anniyanvr/DeepSpeech-1 | train | 0 |
4ee36d78578dbfcc28fdb6601e088ea0fefc4fc7 | [
"super(ActorModel, self).__init__()\nself.params = params\nself.fc1 = nn.Linear(self.params['state_size'], self.params['hidden_size'])\nself.fc1.weight.data = fanin_init(self.fc1.weight.data)\nself.fc2 = nn.Linear(self.params['hidden_size'], self.params['hidden_size'])\nself.fc2.weight.data = fanin_init(self.fc2.we... | <|body_start_0|>
super(ActorModel, self).__init__()
self.params = params
self.fc1 = nn.Linear(self.params['state_size'], self.params['hidden_size'])
self.fc1.weight.data = fanin_init(self.fc1.weight.data)
self.fc2 = nn.Linear(self.params['hidden_size'], self.params['hidden_size']... | ActorModel | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ActorModel:
def __init__(self, **params):
"""Provides the policy function :math:`a=\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (int) action_gain (float): Used to scale the output action. The output action range will be in ``[-a... | stack_v2_sparse_classes_10k_train_000427 | 7,544 | permissive | [
{
"docstring": "Provides the policy function :math:`a=\\\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (int) action_gain (float): Used to scale the output action. The output action range will be in ``[-action_gain,+action_gain]``. eps: A constant used in... | 2 | stack_v2_sparse_classes_30k_train_002635 | Implement the Python class `ActorModel` described below.
Class description:
Implement the ActorModel class.
Method signatures and docstrings:
- def __init__(self, **params): Provides the policy function :math:`a=\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (... | Implement the Python class `ActorModel` described below.
Class description:
Implement the ActorModel class.
Method signatures and docstrings:
- def __init__(self, **params): Provides the policy function :math:`a=\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (... | e42f10a58cec6cab70ac2be5ce3af6102caefd81 | <|skeleton|>
class ActorModel:
def __init__(self, **params):
"""Provides the policy function :math:`a=\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (int) action_gain (float): Used to scale the output action. The output action range will be in ``[-a... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ActorModel:
def __init__(self, **params):
"""Provides the policy function :math:`a=\\pi(s)`. Args: state_size (int): Dimension of input state action_size (int): Dimension of output action (int) action_gain (float): Used to scale the output action. The output action range will be in ``[-action_gain,+ac... | the_stack_v2_python_sparse | digideep/agent/ddpg/policy.py | sharif1093/digideep | train | 17 | |
5b27f794883ed18b0c95360e6ea778cb50d750a2 | [
"postorder = []\n\ndef traverse(root):\n if root is None:\n postorder.append('#')\n return\n traverse(root.left)\n traverse(root.right)\n postorder.append(root.val)\ntraverse(root)\nreturn ','.join([str(val) for val in postorder])",
"if data == '':\n return None\npostorder = data.spli... | <|body_start_0|>
postorder = []
def traverse(root):
if root is None:
postorder.append('#')
return
traverse(root.left)
traverse(root.right)
postorder.append(root.val)
traverse(root)
return ','.join([str(val) ... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_000428 | 6,926 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 0821af55eca60084b503b5f751301048c55e4381 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
postorder = []
def traverse(root):
if root is None:
postorder.append('#')
return
traverse(root.left)
traverse... | the_stack_v2_python_sparse | Hard/LC297.py | shuowenwei/LeetCodePython | train | 2 | |
34b54ca5614d3efaafe4dcd8703581cfa3a061bb | [
"super(Chef, self).__init__(image=Chef.chef_image, x=games.screen.width / 2, y=y, dx=speed)\nself.odds_change = odds_change\nself.time_til_drop = 0",
"if self.right > games.screen.width or self.left < 0:\n self.dx = -self.dx\nif self.bottom > games.screen.height or self.top < 0:\n self.dy = -self.dy\nself.c... | <|body_start_0|>
super(Chef, self).__init__(image=Chef.chef_image, x=games.screen.width / 2, y=y, dx=speed)
self.odds_change = odds_change
self.time_til_drop = 0
<|end_body_0|>
<|body_start_1|>
if self.right > games.screen.width or self.left < 0:
self.dx = -self.dx
i... | The chef that throws pizza | Chef | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Chef:
"""The chef that throws pizza"""
def __init__(self, y=115, speed=2, odds_change=200):
"""Initialize Chef"""
<|body_0|>
def update(self):
"""Changes speed vectors when Chef comes to the screen edge"""
<|body_1|>
def check_drop(self):
"""... | stack_v2_sparse_classes_10k_train_000429 | 4,179 | no_license | [
{
"docstring": "Initialize Chef",
"name": "__init__",
"signature": "def __init__(self, y=115, speed=2, odds_change=200)"
},
{
"docstring": "Changes speed vectors when Chef comes to the screen edge",
"name": "update",
"signature": "def update(self)"
},
{
"docstring": "Decrease int... | 3 | null | Implement the Python class `Chef` described below.
Class description:
The chef that throws pizza
Method signatures and docstrings:
- def __init__(self, y=115, speed=2, odds_change=200): Initialize Chef
- def update(self): Changes speed vectors when Chef comes to the screen edge
- def check_drop(self): Decrease interv... | Implement the Python class `Chef` described below.
Class description:
The chef that throws pizza
Method signatures and docstrings:
- def __init__(self, y=115, speed=2, odds_change=200): Initialize Chef
- def update(self): Changes speed vectors when Chef comes to the screen edge
- def check_drop(self): Decrease interv... | 19343c985f368770dc01ce415506506d62a23285 | <|skeleton|>
class Chef:
"""The chef that throws pizza"""
def __init__(self, y=115, speed=2, odds_change=200):
"""Initialize Chef"""
<|body_0|>
def update(self):
"""Changes speed vectors when Chef comes to the screen edge"""
<|body_1|>
def check_drop(self):
"""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Chef:
"""The chef that throws pizza"""
def __init__(self, y=115, speed=2, odds_change=200):
"""Initialize Chef"""
super(Chef, self).__init__(image=Chef.chef_image, x=games.screen.width / 2, y=y, dx=speed)
self.odds_change = odds_change
self.time_til_drop = 0
def updat... | the_stack_v2_python_sparse | graphics/pizza_panic.py | gofr1/python-learning | train | 0 |
1d3376b4a156f6ff922dfcfd3e6dfbee4a25fec7 | [
"for x in range(len(factors)):\n if factors[x] > 1:\n tree = StencilCacheBlocker.StripMineLoopByIndex(x * 2, factors[x]).visit(tree)\nfor x in range(1, len(factors)):\n if factors[x] > 1:\n tree = self.bubble(tree, 2 * x, x)\nreturn tree",
"for x in range(index - new_index):\n tree = LoopSw... | <|body_start_0|>
for x in range(len(factors)):
if factors[x] > 1:
tree = StencilCacheBlocker.StripMineLoopByIndex(x * 2, factors[x]).visit(tree)
for x in range(1, len(factors)):
if factors[x] > 1:
tree = self.bubble(tree, 2 * x, x)
return t... | Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original tree. | StencilCacheBlocker | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StencilCacheBlocker:
"""Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original tree."""
def block(self, tree, fact... | stack_v2_sparse_classes_10k_train_000430 | 8,373 | no_license | [
{
"docstring": "Main method in StencilCacheBlocker. Used to block the loops in the tree.",
"name": "block",
"signature": "def block(self, tree, factors)"
},
{
"docstring": "Helper function to 'bubble up' a loop at index to be at new_index (new_index < index) while preserving the ordering of the ... | 2 | stack_v2_sparse_classes_30k_train_005498 | Implement the Python class `StencilCacheBlocker` described below.
Class description:
Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original t... | Implement the Python class `StencilCacheBlocker` described below.
Class description:
Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original t... | 87f5d5115587f3362c8ea097900d3d50a3485b1a | <|skeleton|>
class StencilCacheBlocker:
"""Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original tree."""
def block(self, tree, fact... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class StencilCacheBlocker:
"""Class that takes a tree of perfectly-nested For loops (as in a stencil) and performs standard cache blocking on them. Usage: StencilCacheBlocker().block(tree, factors) where factors is a tuple, one for each loop nest in the original tree."""
def block(self, tree, factors):
... | the_stack_v2_python_sparse | stencil_code/optimizer.py | ucb-sejits/stencil_code | train | 3 |
b7117c6d58b6c2e48f6abe080cd7e4d15144f522 | [
"starttime = request.query_params.get('value1')\nendtime = request.query_params.get('value2')\nprint(starttime, endtime)\nif starttime == '0':\n myBugResult = Bugs.objects.filter(delete_flag=0).order_by('team')\n serializer = Bugsserializer(myBugResult, many=True)\n return Response({'status': True, 'messag... | <|body_start_0|>
starttime = request.query_params.get('value1')
endtime = request.query_params.get('value2')
print(starttime, endtime)
if starttime == '0':
myBugResult = Bugs.objects.filter(delete_flag=0).order_by('team')
serializer = Bugsserializer(myBugResult, m... | bug汇总 | Bug | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bug:
"""bug汇总"""
def get(self, request):
"""获取bug列表"""
<|body_0|>
def post(self, request):
"""新增bug"""
<|body_1|>
def put(self, request):
"""修改bug"""
<|body_2|>
def delete(self, request):
"""删除bug"""
<|body_3|>
<... | stack_v2_sparse_classes_10k_train_000431 | 3,316 | no_license | [
{
"docstring": "获取bug列表",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "新增bug",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "修改bug",
"name": "put",
"signature": "def put(self, request)"
},
{
"docstring": "删除bu... | 4 | stack_v2_sparse_classes_30k_train_006574 | Implement the Python class `Bug` described below.
Class description:
bug汇总
Method signatures and docstrings:
- def get(self, request): 获取bug列表
- def post(self, request): 新增bug
- def put(self, request): 修改bug
- def delete(self, request): 删除bug | Implement the Python class `Bug` described below.
Class description:
bug汇总
Method signatures and docstrings:
- def get(self, request): 获取bug列表
- def post(self, request): 新增bug
- def put(self, request): 修改bug
- def delete(self, request): 删除bug
<|skeleton|>
class Bug:
"""bug汇总"""
def get(self, request):
... | 9ccebcc6820af3f950c28fc2a4dee4f41a3157f1 | <|skeleton|>
class Bug:
"""bug汇总"""
def get(self, request):
"""获取bug列表"""
<|body_0|>
def post(self, request):
"""新增bug"""
<|body_1|>
def put(self, request):
"""修改bug"""
<|body_2|>
def delete(self, request):
"""删除bug"""
<|body_3|>
<... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Bug:
"""bug汇总"""
def get(self, request):
"""获取bug列表"""
starttime = request.query_params.get('value1')
endtime = request.query_params.get('value2')
print(starttime, endtime)
if starttime == '0':
myBugResult = Bugs.objects.filter(delete_flag=0).order_by('... | the_stack_v2_python_sparse | moon/task/views_bug.py | xiaominwanglast/python | train | 0 |
42cd333e1a576c41e07004f92f345bc1aa7a8fa4 | [
"super(AwsDiskSpec, cls)._ApplyFlags(config_values, flag_values)\nif flag_values['aws_provisioned_iops'].present:\n config_values['iops'] = flag_values.aws_provisioned_iops\nif flag_values['aws_provisioned_throughput'].present:\n config_values['throughput'] = flag_values.aws_provisioned_throughput",
"result... | <|body_start_0|>
super(AwsDiskSpec, cls)._ApplyFlags(config_values, flag_values)
if flag_values['aws_provisioned_iops'].present:
config_values['iops'] = flag_values.aws_provisioned_iops
if flag_values['aws_provisioned_throughput'].present:
config_values['throughput'] = fl... | Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS. | AwsDiskSpec | [
"Classpath-exception-2.0",
"BSD-3-Clause",
"AGPL-3.0-only",
"MIT",
"GPL-2.0-only",
"Apache-2.0",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AwsDiskSpec:
"""Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS."""
def _ApplyFlags(cls, config_values, flag_values):
"""Modifies co... | stack_v2_sparse_classes_10k_train_000432 | 17,465 | permissive | [
{
"docstring": "Modifies config options based on runtime flag values. Can be overridden by derived classes to add support for specific flags. Args: config_values: dict mapping config option names to provided values. May be modified by this function. flag_values: flags.FlagValues. Runtime flags that may override... | 2 | null | Implement the Python class `AwsDiskSpec` described below.
Class description:
Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS.
Method signatures and docstrings:
- def ... | Implement the Python class `AwsDiskSpec` described below.
Class description:
Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS.
Method signatures and docstrings:
- def ... | d0699f32998898757b036704fba39e5471641f01 | <|skeleton|>
class AwsDiskSpec:
"""Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS."""
def _ApplyFlags(cls, config_values, flag_values):
"""Modifies co... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AwsDiskSpec:
"""Object holding the information needed to create an AwsDisk. Attributes: iops: None or int. IOPS for Provisioned IOPS (SSD) volumes in AWS. throughput: None or int. Throughput for (SSD) volumes in AWS."""
def _ApplyFlags(cls, config_values, flag_values):
"""Modifies config options ... | the_stack_v2_python_sparse | perfkitbenchmarker/providers/aws/aws_disk.py | GoogleCloudPlatform/PerfKitBenchmarker | train | 1,923 |
73850ece6ea7fea6d0c3c338ed6e0f05a206f5ab | [
"for var, name in [(points, 'points'), (img_metas, 'img_metas')]:\n if not isinstance(var, list):\n raise TypeError('{} must be a list, but got {}'.format(name, type(var)))\nnum_augs = len(points)\nif num_augs != len(img_metas):\n raise ValueError('num of augmentations ({}) != num of image meta ({})'.f... | <|body_start_0|>
for var, name in [(points, 'points'), (img_metas, 'img_metas')]:
if not isinstance(var, list):
raise TypeError('{} must be a list, but got {}'.format(name, type(var)))
num_augs = len(points)
if num_augs != len(img_metas):
raise ValueError(... | Base class for detectors. | Base3DDetector | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Base3DDetector:
"""Base class for detectors."""
def forward_test(self, points, img_metas, img=None, **kwargs):
"""Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should have a shape NxC, which contains all points in the batch... | stack_v2_sparse_classes_10k_train_000433 | 5,565 | permissive | [
{
"docstring": "Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should have a shape NxC, which contains all points in the batch. img_metas (list[list[dict]]): the outer list indicates test-time augs (multiscale, flip, etc.) and the inner list indicates ... | 3 | stack_v2_sparse_classes_30k_train_004525 | Implement the Python class `Base3DDetector` described below.
Class description:
Base class for detectors.
Method signatures and docstrings:
- def forward_test(self, points, img_metas, img=None, **kwargs): Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should... | Implement the Python class `Base3DDetector` described below.
Class description:
Base class for detectors.
Method signatures and docstrings:
- def forward_test(self, points, img_metas, img=None, **kwargs): Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should... | f71858d02eb0fbd09860150ade67558d7984b1be | <|skeleton|>
class Base3DDetector:
"""Base class for detectors."""
def forward_test(self, points, img_metas, img=None, **kwargs):
"""Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should have a shape NxC, which contains all points in the batch... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Base3DDetector:
"""Base class for detectors."""
def forward_test(self, points, img_metas, img=None, **kwargs):
"""Args: points (list[torch.Tensor]): the outer list indicates test-time augmentations and inner torch.Tensor should have a shape NxC, which contains all points in the batch. img_metas (... | the_stack_v2_python_sparse | mmdet3d/models/detectors/base.py | HuangJunJie2017/BEVDet | train | 985 |
a5eef6f68ed1112a9350ac19109fec232028a099 | [
"pos = 0\nfor i in range(len(nums)):\n if nums[i] != 0:\n nums[i], nums[pos] = (nums[pos], nums[i])\n pos += 1",
"def sorting(n):\n return (0,) if n != 0 else (1, 0)\nnums.sort(key=sorting)",
"count = 0\nfor i in range(len(nums) - 1):\n i = i - count\n if nums[i] == 0:\n count +... | <|body_start_0|>
pos = 0
for i in range(len(nums)):
if nums[i] != 0:
nums[i], nums[pos] = (nums[pos], nums[i])
pos += 1
<|end_body_0|>
<|body_start_1|>
def sorting(n):
return (0,) if n != 0 else (1, 0)
nums.sort(key=sorting)
<|end_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def moveZeroes3(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes2(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead. time complexity : O(NlogN) space ... | stack_v2_sparse_classes_10k_train_000434 | 1,082 | no_license | [
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "moveZeroes3",
"signature": "def moveZeroes3(self, nums: List[int]) -> None"
},
{
"docstring": "Do not return anything, modify nums in-place instead. time complexity : O(NlogN) space complexity : O(1)",
"name": "... | 3 | stack_v2_sparse_classes_30k_train_002180 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def moveZeroes3(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def moveZeroes2(self, nums: List[int]) -> None: Do not return anything, mo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def moveZeroes3(self, nums: List[int]) -> None: Do not return anything, modify nums in-place instead.
- def moveZeroes2(self, nums: List[int]) -> None: Do not return anything, mo... | 29cb49a166a1dfd19c39613a0e9895c545a6bfe9 | <|skeleton|>
class Solution:
def moveZeroes3(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def moveZeroes2(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead. time complexity : O(NlogN) space ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def moveZeroes3(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
pos = 0
for i in range(len(nums)):
if nums[i] != 0:
nums[i], nums[pos] = (nums[pos], nums[i])
pos += 1
def moveZeroes2(... | the_stack_v2_python_sparse | 01.Array&String/2-09.moveZeroes.py | mjmingd/study_algorithm | train | 0 | |
55b9e0147b69520e91074e5af18e3b79796987b5 | [
"if bubble['is_user']:\n t = 'user'\nelif bubble['is_system']:\n t = 'system'\nelif bubble['is_info']:\n t = 'info'\nelse:\n t = 'status'\nreturn t",
"self.type = self._demultiplex_bubbletype(bubble)\nself.html = bubble['message']\nself.url = bubble['bubble_url'] if bubble['bubble_url'] != '' else Non... | <|body_start_0|>
if bubble['is_user']:
t = 'user'
elif bubble['is_system']:
t = 'system'
elif bubble['is_info']:
t = 'info'
else:
t = 'status'
return t
<|end_body_0|>
<|body_start_1|>
self.type = self._demultiplex_bubbletyp... | Converted bubble which is returned by the API. | DataBubble | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataBubble:
"""Converted bubble which is returned by the API."""
def _demultiplex_bubbletype(bubble):
"""Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:"""
<|body_0|>
def __init__(self, bubble):
"""... | stack_v2_sparse_classes_10k_train_000435 | 3,741 | permissive | [
{
"docstring": "Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:",
"name": "_demultiplex_bubbletype",
"signature": "def _demultiplex_bubbletype(bubble)"
},
{
"docstring": "Convert given bubble to reduced bubble holding only the core... | 2 | stack_v2_sparse_classes_30k_train_000178 | Implement the Python class `DataBubble` described below.
Class description:
Converted bubble which is returned by the API.
Method signatures and docstrings:
- def _demultiplex_bubbletype(bubble): Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:
- def __i... | Implement the Python class `DataBubble` described below.
Class description:
Converted bubble which is returned by the API.
Method signatures and docstrings:
- def _demultiplex_bubbletype(bubble): Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:
- def __i... | 7996dbe0c66149c710217839877a1ec4e7eb46ed | <|skeleton|>
class DataBubble:
"""Converted bubble which is returned by the API."""
def _demultiplex_bubbletype(bubble):
"""Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:"""
<|body_0|>
def __init__(self, bubble):
"""... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DataBubble:
"""Converted bubble which is returned by the API."""
def _demultiplex_bubbletype(bubble):
"""Use a single field to dispatch the type and resolve BubbleTypes-Enum. :param bubble: Constructed bubble :return:"""
if bubble['is_user']:
t = 'user'
elif bubble['is... | the_stack_v2_python_sparse | api/models.py | hhucn/dbas | train | 25 |
073961f1b3c7f559cf9b661cbea2c74a2baa1bf4 | [
"try:\n user = getUser(request.session.get('login'))\n ago = request.GET.get('ago')\n page = request.GET.get('page')\n three_month_ago = get_three_month_ago()\n if ago:\n tailwindTake = TailwindTakeOrder.objects.filter(Q(mandatory=user) & Q(create_time__lte=three_month_ago))\n else:\n ... | <|body_start_0|>
try:
user = getUser(request.session.get('login'))
ago = request.GET.get('ago')
page = request.GET.get('page')
three_month_ago = get_three_month_ago()
if ago:
tailwindTake = TailwindTakeOrder.objects.filter(Q(mandatory=u... | 用户对接受单的一系列操作 | UserTailwindTakeOrderView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserTailwindTakeOrderView:
"""用户对接受单的一系列操作"""
def get(self, request):
"""获取用户的所有接收单 :param request: :return:"""
<|body_0|>
def put(self, request, rid):
"""用户接单 :param request: :param rid: request id :return:"""
<|body_1|>
def delete(self, request, ri... | stack_v2_sparse_classes_10k_train_000436 | 5,314 | no_license | [
{
"docstring": "获取用户的所有接收单 :param request: :return:",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "用户接单 :param request: :param rid: request id :return:",
"name": "put",
"signature": "def put(self, request, rid)"
},
{
"docstring": "用户撤销接受单 :param request... | 3 | stack_v2_sparse_classes_30k_train_003807 | Implement the Python class `UserTailwindTakeOrderView` described below.
Class description:
用户对接受单的一系列操作
Method signatures and docstrings:
- def get(self, request): 获取用户的所有接收单 :param request: :return:
- def put(self, request, rid): 用户接单 :param request: :param rid: request id :return:
- def delete(self, request, rid): ... | Implement the Python class `UserTailwindTakeOrderView` described below.
Class description:
用户对接受单的一系列操作
Method signatures and docstrings:
- def get(self, request): 获取用户的所有接收单 :param request: :return:
- def put(self, request, rid): 用户接单 :param request: :param rid: request id :return:
- def delete(self, request, rid): ... | bcfbfb71bac696695ec98ac7796fea8262e5af8a | <|skeleton|>
class UserTailwindTakeOrderView:
"""用户对接受单的一系列操作"""
def get(self, request):
"""获取用户的所有接收单 :param request: :return:"""
<|body_0|>
def put(self, request, rid):
"""用户接单 :param request: :param rid: request id :return:"""
<|body_1|>
def delete(self, request, ri... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserTailwindTakeOrderView:
"""用户对接受单的一系列操作"""
def get(self, request):
"""获取用户的所有接收单 :param request: :return:"""
try:
user = getUser(request.session.get('login'))
ago = request.GET.get('ago')
page = request.GET.get('page')
three_month_ago = g... | the_stack_v2_python_sparse | App/Account/views/restFul/userTailwindInfo/userTailwindBaseInfo/userTailwindTakeOrderInfo.py | DICKQI/UTime_BackEnd | train | 0 |
8d925ff65c9e354626b7254abc7ba6086cd9b61f | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UserSecurityState()",
"from .email_role import EmailRole\nfrom .logon_type import LogonType\nfrom .user_account_security_type import UserAccountSecurityType\nfrom .email_role import EmailRole\nfrom .logon_type import LogonType\nfrom .u... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UserSecurityState()
<|end_body_0|>
<|body_start_1|>
from .email_role import EmailRole
from .logon_type import LogonType
from .user_account_security_type import UserAccountSecurit... | UserSecurityState | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSecurityState:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSecurityState:
"""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... | stack_v2_sparse_classes_10k_train_000437 | 6,982 | 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: UserSecurityState",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_v... | 3 | null | Implement the Python class `UserSecurityState` described below.
Class description:
Implement the UserSecurityState class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSecurityState: Creates a new instance of the appropriate class based on discrim... | Implement the Python class `UserSecurityState` described below.
Class description:
Implement the UserSecurityState class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSecurityState: Creates a new instance of the appropriate class based on discrim... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UserSecurityState:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSecurityState:
"""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... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserSecurityState:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UserSecurityState:
"""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: User... | the_stack_v2_python_sparse | msgraph/generated/models/user_security_state.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
7c1ca75a4f218e02e1c9b99c1c60a43e56d3f8f6 | [
"super().__init__(game, mode_label_ui)\nself.mode_label_ui = mode_label_ui\nself.stage_1_ui, self.stage_2_ui = (stage_1_ui, stage_2_ui)",
"logger.info(f'{self.mode_name}: {self.stages} stages available.')\nif self.stages > 0:\n self.game.select_mode(self.mode_name)\n stage_1_num, stage_2_num = self.separate... | <|body_start_0|>
super().__init__(game, mode_label_ui)
self.mode_label_ui = mode_label_ui
self.stage_1_ui, self.stage_2_ui = (stage_1_ui, stage_2_ui)
<|end_body_0|>
<|body_start_1|>
logger.info(f'{self.mode_name}: {self.stages} stages available.')
if self.stages > 0:
... | Class for working with Epic Quests with two separate stages. | TwoStageEpicQuest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TwoStageEpicQuest:
"""Class for working with Epic Quests with two separate stages."""
def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui):
"""Class initialization. :param lib.game.game.Game game: instance of the game. :param ui.UIElement mode_label_ui: mission's game mode... | stack_v2_sparse_classes_10k_train_000438 | 26,035 | permissive | [
{
"docstring": "Class initialization. :param lib.game.game.Game game: instance of the game. :param ui.UIElement mode_label_ui: mission's game mode label UI element.",
"name": "__init__",
"signature": "def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui)"
},
{
"docstring": "Starts two ... | 3 | stack_v2_sparse_classes_30k_train_002011 | Implement the Python class `TwoStageEpicQuest` described below.
Class description:
Class for working with Epic Quests with two separate stages.
Method signatures and docstrings:
- def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui): Class initialization. :param lib.game.game.Game game: instance of the gam... | Implement the Python class `TwoStageEpicQuest` described below.
Class description:
Class for working with Epic Quests with two separate stages.
Method signatures and docstrings:
- def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui): Class initialization. :param lib.game.game.Game game: instance of the gam... | fd3f0bd45aea45e2e8ad8e8fc73a8953c96d350a | <|skeleton|>
class TwoStageEpicQuest:
"""Class for working with Epic Quests with two separate stages."""
def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui):
"""Class initialization. :param lib.game.game.Game game: instance of the game. :param ui.UIElement mode_label_ui: mission's game mode... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TwoStageEpicQuest:
"""Class for working with Epic Quests with two separate stages."""
def __init__(self, game, mode_label_ui, stage_1_ui, stage_2_ui):
"""Class initialization. :param lib.game.game.Game game: instance of the game. :param ui.UIElement mode_label_ui: mission's game mode label UI ele... | the_stack_v2_python_sparse | lib/game/missions/epic_quest.py | th3f1v3/mff_auto | train | 0 |
0974e74c06389988f8723f724fc5c6cc32423335 | [
"caffemodel = config.HEAD_POSE['caffemodel']\ndeploy = config.HEAD_POSE['deploy']\nself.detector = cv2.dnn.readNetFromCaffe(deploy, caffemodel)\nself.detector_confidence = 0.7",
"height, width = (img.shape[0], img.shape[1])\naspect_ratio = width / height\nif img.shape[1] * img.shape[0] >= 192 * 192:\n img = cv... | <|body_start_0|>
caffemodel = config.HEAD_POSE['caffemodel']
deploy = config.HEAD_POSE['deploy']
self.detector = cv2.dnn.readNetFromCaffe(deploy, caffemodel)
self.detector_confidence = 0.7
<|end_body_0|>
<|body_start_1|>
height, width = (img.shape[0], img.shape[1])
aspec... | Detection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Detection:
def __init__(self):
"""init the class with caffe model and decide the amount of confidence."""
<|body_0|>
def get_bbox(self, img):
"""get a bbox representing the corners of the image after normalization :param img: image to get its corners. :return: an arr... | stack_v2_sparse_classes_10k_train_000439 | 1,913 | no_license | [
{
"docstring": "init the class with caffe model and decide the amount of confidence.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "get a bbox representing the corners of the image after normalization :param img: image to get its corners. :return: an array of corners ... | 2 | stack_v2_sparse_classes_30k_train_007360 | Implement the Python class `Detection` described below.
Class description:
Implement the Detection class.
Method signatures and docstrings:
- def __init__(self): init the class with caffe model and decide the amount of confidence.
- def get_bbox(self, img): get a bbox representing the corners of the image after norma... | Implement the Python class `Detection` described below.
Class description:
Implement the Detection class.
Method signatures and docstrings:
- def __init__(self): init the class with caffe model and decide the amount of confidence.
- def get_bbox(self, img): get a bbox representing the corners of the image after norma... | 607e459d737ac689d6974bf05f452abf89cbdfe2 | <|skeleton|>
class Detection:
def __init__(self):
"""init the class with caffe model and decide the amount of confidence."""
<|body_0|>
def get_bbox(self, img):
"""get a bbox representing the corners of the image after normalization :param img: image to get its corners. :return: an arr... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Detection:
def __init__(self):
"""init the class with caffe model and decide the amount of confidence."""
caffemodel = config.HEAD_POSE['caffemodel']
deploy = config.HEAD_POSE['deploy']
self.detector = cv2.dnn.readNetFromCaffe(deploy, caffemodel)
self.detector_confidenc... | the_stack_v2_python_sparse | Measurements/HeadPose/detect.py | alexshachor/TheBackEye | train | 0 | |
cc0ab4517fc230ae28637fd8120a94186d5c1bfc | [
"output, stack = ([], [(root, False)])\nwhile stack:\n node, is_visited = stack.pop()\n if not node:\n continue\n if is_visited:\n output.append(node.val)\n else:\n stack.append((node, True))\n stack.append((node.right, False))\n stack.append((node.left, False))\nretur... | <|body_start_0|>
output, stack = ([], [(root, False)])
while stack:
node, is_visited = stack.pop()
if not node:
continue
if is_visited:
output.append(node.val)
else:
stack.append((node, True))
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def postorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def postorderTraversal_iterative2(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def postorderTraversal_recursive(self, root):
... | stack_v2_sparse_classes_10k_train_000440 | 3,850 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "postorderTraversal",
"signature": "def postorderTraversal(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "postorderTraversal_iterative2",
"signature": "def postorderTraversal_iterative2(se... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def postorderTraversal_iterative2(self, root): :type root: TreeNode :rtype: List[int]
- def postorder... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def postorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def postorderTraversal_iterative2(self, root): :type root: TreeNode :rtype: List[int]
- def postorder... | e60ba45fe2f2e5e3b3abfecec3db76f5ce1fde59 | <|skeleton|>
class Solution:
def postorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def postorderTraversal_iterative2(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def postorderTraversal_recursive(self, root):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def postorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
output, stack = ([], [(root, False)])
while stack:
node, is_visited = stack.pop()
if not node:
continue
if is_visited:
output.a... | the_stack_v2_python_sparse | src/lt_145.py | oxhead/CodingYourWay | train | 0 | |
6c666b20ff63070b0c7fccb33beab8549357a0a0 | [
"def recursive(outputlist):\n ll = outputlist[-1]\n new_list = [1]\n for i in range(1, len(ll)):\n new_list.append(ll[i - 1] + ll[i])\n new_list.append(1)\n outputlist.append(new_list)\n return outputlist\nif not numRows:\n return []\nout = [[1]]\nfor j in range(1, numRows):\n out = r... | <|body_start_0|>
def recursive(outputlist):
ll = outputlist[-1]
new_list = [1]
for i in range(1, len(ll)):
new_list.append(ll[i - 1] + ll[i])
new_list.append(1)
outputlist.append(new_list)
return outputlist
if not nu... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def generate_cool(self, numRows):
"""explanation: Any row can be constructed using the offset sum of the previous row 1 3 3 1 0 + 0 1 3 3 1 = 1 4 6 4 1 :type numRows: i... | stack_v2_sparse_classes_10k_train_000441 | 1,836 | no_license | [
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate",
"signature": "def generate(self, numRows)"
},
{
"docstring": "explanation: Any row can be constructed using the offset sum of the previous row 1 3 3 1 0 + 0 1 3 3 1 = 1 4 6 4 1 :type numRows: int :rtype: List[List[i... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def generate_cool(self, numRows): explanation: Any row can be constructed using the offset sum of the pr... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def generate_cool(self, numRows): explanation: Any row can be constructed using the offset sum of the pr... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def generate_cool(self, numRows):
"""explanation: Any row can be constructed using the offset sum of the previous row 1 3 3 1 0 + 0 1 3 3 1 = 1 4 6 4 1 :type numRows: i... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
def recursive(outputlist):
ll = outputlist[-1]
new_list = [1]
for i in range(1, len(ll)):
new_list.append(ll[i - 1] + ll[i])
new_list.append(1... | the_stack_v2_python_sparse | LeetCode/Array/118_Pascal's_triangle.py | XyK0907/for_work | train | 0 | |
4eb2547610c4c276c18ce6cfe18ca135b47fcbcb | [
"dxf = super(DXFGraphic, self).load_dxf_attribs(processor)\nif processor:\n processor.simple_dxfattribs_loader(dxf, merged_shape_group_codes)\n if processor.r12:\n elevation_to_z_axis(dxf, ('center',))\nreturn dxf",
"super().export_entity(tagwriter)\nif tagwriter.dxfversion > DXF12:\n tagwriter.wr... | <|body_start_0|>
dxf = super(DXFGraphic, self).load_dxf_attribs(processor)
if processor:
processor.simple_dxfattribs_loader(dxf, merged_shape_group_codes)
if processor.r12:
elevation_to_z_axis(dxf, ('center',))
return dxf
<|end_body_0|>
<|body_start_1|>
... | DXF SHAPE entity | Shape | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Shape:
"""DXF SHAPE entity"""
def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace:
"""Loading interface. (internal API)"""
<|body_0|>
def export_entity(self, tagwriter: AbstractTagWriter) -> None:
"""Export entity specific data... | stack_v2_sparse_classes_10k_train_000442 | 4,684 | permissive | [
{
"docstring": "Loading interface. (internal API)",
"name": "load_dxf_attribs",
"signature": "def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace"
},
{
"docstring": "Export entity specific data as DXF tags.",
"name": "export_entity",
"signature": "def ... | 3 | null | Implement the Python class `Shape` described below.
Class description:
DXF SHAPE entity
Method signatures and docstrings:
- def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace: Loading interface. (internal API)
- def export_entity(self, tagwriter: AbstractTagWriter) -> None: Export... | Implement the Python class `Shape` described below.
Class description:
DXF SHAPE entity
Method signatures and docstrings:
- def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace: Loading interface. (internal API)
- def export_entity(self, tagwriter: AbstractTagWriter) -> None: Export... | ba6ab0264dcb6833173042a37b1b5ae878d75113 | <|skeleton|>
class Shape:
"""DXF SHAPE entity"""
def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace:
"""Loading interface. (internal API)"""
<|body_0|>
def export_entity(self, tagwriter: AbstractTagWriter) -> None:
"""Export entity specific data... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Shape:
"""DXF SHAPE entity"""
def load_dxf_attribs(self, processor: Optional[SubclassProcessor]=None) -> DXFNamespace:
"""Loading interface. (internal API)"""
dxf = super(DXFGraphic, self).load_dxf_attribs(processor)
if processor:
processor.simple_dxfattribs_loader(dxf... | the_stack_v2_python_sparse | src/ezdxf/entities/shape.py | mozman/ezdxf | train | 750 |
55d72c67ad38d7dae4f05c6d1cb7e56ae730e236 | [
"t0 = Triangle()\nself.assertIsNot(t0, None)\nself.assertIsInstance(t0, Triangle)",
"t1 = Triangle([1, 2, 3])\nself.assertIsNot(t1, None)\nself.assertIsInstance(t1, Triangle)\nt2 = Triangle('xyz')\nself.assertIsNot(t2, None)\nself.assertIsInstance(t2, Triangle)\nt3 = Triangle(['x', 'y', 'z'])\nself.assertIsNot(t3... | <|body_start_0|>
t0 = Triangle()
self.assertIsNot(t0, None)
self.assertIsInstance(t0, Triangle)
<|end_body_0|>
<|body_start_1|>
t1 = Triangle([1, 2, 3])
self.assertIsNot(t1, None)
self.assertIsInstance(t1, Triangle)
t2 = Triangle('xyz')
self.assertIsNot(t... | Test Triangle class call | TestConstructor_Triangle | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestConstructor_Triangle:
"""Test Triangle class call"""
def test_none(self):
"""Calling Triangle class with no key (key = None)"""
<|body_0|>
def test_iterable(self):
"""Calling Vertex class with iterable key"""
<|body_1|>
def test_iterable_specific... | stack_v2_sparse_classes_10k_train_000443 | 6,423 | permissive | [
{
"docstring": "Calling Triangle class with no key (key = None)",
"name": "test_none",
"signature": "def test_none(self)"
},
{
"docstring": "Calling Vertex class with iterable key",
"name": "test_iterable",
"signature": "def test_iterable(self)"
},
{
"docstring": "Calling Vertex ... | 3 | stack_v2_sparse_classes_30k_train_004079 | Implement the Python class `TestConstructor_Triangle` described below.
Class description:
Test Triangle class call
Method signatures and docstrings:
- def test_none(self): Calling Triangle class with no key (key = None)
- def test_iterable(self): Calling Vertex class with iterable key
- def test_iterable_specific(sel... | Implement the Python class `TestConstructor_Triangle` described below.
Class description:
Test Triangle class call
Method signatures and docstrings:
- def test_none(self): Calling Triangle class with no key (key = None)
- def test_iterable(self): Calling Vertex class with iterable key
- def test_iterable_specific(sel... | f9b00a39bc16aea4abac60c0dd0aab2acac5adcf | <|skeleton|>
class TestConstructor_Triangle:
"""Test Triangle class call"""
def test_none(self):
"""Calling Triangle class with no key (key = None)"""
<|body_0|>
def test_iterable(self):
"""Calling Vertex class with iterable key"""
<|body_1|>
def test_iterable_specific... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestConstructor_Triangle:
"""Test Triangle class call"""
def test_none(self):
"""Calling Triangle class with no key (key = None)"""
t0 = Triangle()
self.assertIsNot(t0, None)
self.assertIsInstance(t0, Triangle)
def test_iterable(self):
"""Calling Vertex class ... | the_stack_v2_python_sparse | _BACKUPS_v3/v3_1/LightPicture_Test.py | nagame/LightPicture | train | 0 |
0782d804c865c6b451f993683f102d738a2a5485 | [
"self.logger = get_logger(name='OutputFilter')\nself.data = copy.deepcopy(data)\nself.required = None\nself.excluded = None\nif isinstance(required, list):\n self.required = required\nelse:\n self.required = []\n self.logger.error(msg='Required is not a list!')\nif isinstance(excluded, list):\n self.exc... | <|body_start_0|>
self.logger = get_logger(name='OutputFilter')
self.data = copy.deepcopy(data)
self.required = None
self.excluded = None
if isinstance(required, list):
self.required = required
else:
self.required = []
self.logger.error(... | This class helps to minimize dictionary structure by specifying only the desired keys. | OutputFilter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OutputFilter:
"""This class helps to minimize dictionary structure by specifying only the desired keys."""
def __init__(self, data=None, required=[], excluded=[]):
""":param data: Data to be filtered. :param list required: List of required keys. Returned entries will contain only the... | stack_v2_sparse_classes_10k_train_000444 | 13,875 | permissive | [
{
"docstring": ":param data: Data to be filtered. :param list required: List of required keys. Returned entries will contain only these specified keys. Example: `{\"key1\": \"value1\", \"key2\": \"value2\"}` with ``required`` `[\"key1\"]` will only return `{\"key1\": \"value1\"}`. :param list excluded: List of ... | 2 | stack_v2_sparse_classes_30k_test_000286 | Implement the Python class `OutputFilter` described below.
Class description:
This class helps to minimize dictionary structure by specifying only the desired keys.
Method signatures and docstrings:
- def __init__(self, data=None, required=[], excluded=[]): :param data: Data to be filtered. :param list required: List... | Implement the Python class `OutputFilter` described below.
Class description:
This class helps to minimize dictionary structure by specifying only the desired keys.
Method signatures and docstrings:
- def __init__(self, data=None, required=[], excluded=[]): :param data: Data to be filtered. :param list required: List... | 3e050be98404dac79c071eb035d30095bda33fac | <|skeleton|>
class OutputFilter:
"""This class helps to minimize dictionary structure by specifying only the desired keys."""
def __init__(self, data=None, required=[], excluded=[]):
""":param data: Data to be filtered. :param list required: List of required keys. Returned entries will contain only the... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class OutputFilter:
"""This class helps to minimize dictionary structure by specifying only the desired keys."""
def __init__(self, data=None, required=[], excluded=[]):
""":param data: Data to be filtered. :param list required: List of required keys. Returned entries will contain only these specified ... | the_stack_v2_python_sparse | nuaal/utils/Filter.py | mihudec/nuaal | train | 1 |
f47292324269e352c52288ae770524fa16e7b536 | [
"labels = []\nlabel_ids = []\nscores = []\ndisplay_names = []\nrelative_keypoints = []\nfor category in self.categories:\n scores.append(category.score)\n if category.index:\n label_ids.append(category.index)\n if category.category_name:\n labels.append(category.category_name)\n if categor... | <|body_start_0|>
labels = []
label_ids = []
scores = []
display_names = []
relative_keypoints = []
for category in self.categories:
scores.append(category.score)
if category.index:
label_ids.append(category.index)
if cat... | Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects. | Detection | [
"Apache-2.0",
"dtoa"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection pro... | stack_v2_sparse_classes_10k_train_000445 | 5,843 | permissive | [
{
"docstring": "Generates a Detection protobuf object.",
"name": "to_pb2",
"signature": "def to_pb2(self) -> _DetectionProto"
},
{
"docstring": "Creates a `Detection` object from the given protobuf object.",
"name": "create_from_pb2",
"signature": "def create_from_pb2(cls, pb2_obj: _Dete... | 3 | stack_v2_sparse_classes_30k_train_007058 | Implement the Python class `Detection` described below.
Class description:
Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects.
Method signatures and docstrings:
- def t... | Implement the Python class `Detection` described below.
Class description:
Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects.
Method signatures and docstrings:
- def t... | 007824594bf1d07c7c1467df03a43886f8a4b3ad | <|skeleton|>
class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection pro... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Detection:
"""Represents one detected object in the object detector's results. Attributes: bounding_box: A BoundingBox object. categories: A list of Category objects. keypoints: A list of NormalizedKeypoint objects."""
def to_pb2(self) -> _DetectionProto:
"""Generates a Detection protobuf object.... | the_stack_v2_python_sparse | mediapipe/tasks/python/components/containers/detections.py | google/mediapipe | train | 23,940 |
2da750b4b196d236e289d467d04796659b218130 | [
"base_directory_glob = f'{self.multihost_base_directory}-*'\nbase_directories = tf.io.gfile.glob(base_directory_glob)\nif self.base_directory not in base_directories:\n return None\ncheckpoints = {}\nfor base_directory in base_directories:\n checkpoint_manager = tf.train.CheckpointManager(tf.train.Checkpoint(... | <|body_start_0|>
base_directory_glob = f'{self.multihost_base_directory}-*'
base_directories = tf.io.gfile.glob(base_directory_glob)
if self.base_directory not in base_directories:
return None
checkpoints = {}
for base_directory in base_directories:
checkp... | An subclass of `Checkpoint` that synchronizes between multiple JAX hosts. | QueryMultihostCheckpoint | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QueryMultihostCheckpoint:
"""An subclass of `Checkpoint` that synchronizes between multiple JAX hosts."""
def get_all_checkpoints_to_restore_from(self):
"""Returns the latest checkpoint available on all hosts."""
<|body_0|>
def restore_from_path(self, state: T, path: str... | stack_v2_sparse_classes_10k_train_000446 | 7,517 | permissive | [
{
"docstring": "Returns the latest checkpoint available on all hosts.",
"name": "get_all_checkpoints_to_restore_from",
"signature": "def get_all_checkpoints_to_restore_from(self)"
},
{
"docstring": "Restores from a given checkpoint path. Args: state : A flax checkpoint to be stored or to serve a... | 2 | stack_v2_sparse_classes_30k_train_001722 | Implement the Python class `QueryMultihostCheckpoint` described below.
Class description:
An subclass of `Checkpoint` that synchronizes between multiple JAX hosts.
Method signatures and docstrings:
- def get_all_checkpoints_to_restore_from(self): Returns the latest checkpoint available on all hosts.
- def restore_fro... | Implement the Python class `QueryMultihostCheckpoint` described below.
Class description:
An subclass of `Checkpoint` that synchronizes between multiple JAX hosts.
Method signatures and docstrings:
- def get_all_checkpoints_to_restore_from(self): Returns the latest checkpoint available on all hosts.
- def restore_fro... | 1ed54e21f889775cf9e78ff736f804472c9b4337 | <|skeleton|>
class QueryMultihostCheckpoint:
"""An subclass of `Checkpoint` that synchronizes between multiple JAX hosts."""
def get_all_checkpoints_to_restore_from(self):
"""Returns the latest checkpoint available on all hosts."""
<|body_0|>
def restore_from_path(self, state: T, path: str... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class QueryMultihostCheckpoint:
"""An subclass of `Checkpoint` that synchronizes between multiple JAX hosts."""
def get_all_checkpoints_to_restore_from(self):
"""Returns the latest checkpoint available on all hosts."""
base_directory_glob = f'{self.multihost_base_directory}-*'
base_dire... | the_stack_v2_python_sparse | xmcgan/utils/task_manager.py | jiny419/xmcgan_image_generation | train | 0 |
c26c2039ea0afa6f699a7decc83a72fff7344846 | [
"tiles = data_input('test_data')\nresult = part_1(tiles)\nself.assertEqual(result, 20899048083289)",
"tiles = data_input('data')\nresult = part_1(tiles)\nself.assertEqual(result, 18482479935793)",
"tiles = data_input('test_data')\nresult = part_2(tiles)\nself.assertEqual(result, 273)",
"tiles = data_input('da... | <|body_start_0|>
tiles = data_input('test_data')
result = part_1(tiles)
self.assertEqual(result, 20899048083289)
<|end_body_0|>
<|body_start_1|>
tiles = data_input('data')
result = part_1(tiles)
self.assertEqual(result, 18482479935793)
<|end_body_1|>
<|body_start_2|>
... | () | TestAoC20 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
<|body_0|>
def test_part_1_2(self):
"""()"""
<|body_1|>
def test_part_2_1(self):
"""()"""
<|body_2|>
def test_part_2_2(self):
"""()"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_10k_train_000447 | 953 | no_license | [
{
"docstring": "()",
"name": "test_part_1_1",
"signature": "def test_part_1_1(self)"
},
{
"docstring": "()",
"name": "test_part_1_2",
"signature": "def test_part_1_2(self)"
},
{
"docstring": "()",
"name": "test_part_2_1",
"signature": "def test_part_2_1(self)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_005483 | Implement the Python class `TestAoC20` described below.
Class description:
()
Method signatures and docstrings:
- def test_part_1_1(self): ()
- def test_part_1_2(self): ()
- def test_part_2_1(self): ()
- def test_part_2_2(self): () | Implement the Python class `TestAoC20` described below.
Class description:
()
Method signatures and docstrings:
- def test_part_1_1(self): ()
- def test_part_1_2(self): ()
- def test_part_2_1(self): ()
- def test_part_2_2(self): ()
<|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""(... | 934c1c45daf189ce2f517b70abe896fedb152b88 | <|skeleton|>
class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
<|body_0|>
def test_part_1_2(self):
"""()"""
<|body_1|>
def test_part_2_1(self):
"""()"""
<|body_2|>
def test_part_2_2(self):
"""()"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestAoC20:
"""()"""
def test_part_1_1(self):
"""()"""
tiles = data_input('test_data')
result = part_1(tiles)
self.assertEqual(result, 20899048083289)
def test_part_1_2(self):
"""()"""
tiles = data_input('data')
result = part_1(tiles)
se... | the_stack_v2_python_sparse | 20/test.py | iveL91/Advent-of-Code-2020 | train | 0 |
edc58cecc83ea494cd5301bda66b0d51b03f6718 | [
"solution_cells = []\nwith self.gradebook as gb:\n num_submissions = len(gb.notebook_submissions(notebook_id, assignment_id))\n notebook_id = gb.find_notebook(notebook_id, assignment_id).id\n for cell_name in gb.db.query(BaseCell.name).filter(BaseCell.type == 'SolutionCell').filter(BaseCell.notebook_id == ... | <|body_start_0|>
solution_cells = []
with self.gradebook as gb:
num_submissions = len(gb.notebook_submissions(notebook_id, assignment_id))
notebook_id = gb.find_notebook(notebook_id, assignment_id).id
for cell_name in gb.db.query(BaseCell.name).filter(BaseCell.type ==... | E2xAPI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class E2xAPI:
def get_solution_cell_ids(self, assignment_id, notebook_id):
"""Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name of the assignment notebook_id: string The name of the notebook Returns ------- solution_cells:... | stack_v2_sparse_classes_10k_train_000448 | 6,177 | permissive | [
{
"docstring": "Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name of the assignment notebook_id: string The name of the notebook Returns ------- solution_cells: dict A dictionary containing information about the solution cells",
"name":... | 2 | stack_v2_sparse_classes_30k_train_005847 | Implement the Python class `E2xAPI` described below.
Class description:
Implement the E2xAPI class.
Method signatures and docstrings:
- def get_solution_cell_ids(self, assignment_id, notebook_id): Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name... | Implement the Python class `E2xAPI` described below.
Class description:
Implement the E2xAPI class.
Method signatures and docstrings:
- def get_solution_cell_ids(self, assignment_id, notebook_id): Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name... | 19eb4662e4eee5ddef673097517e4bd4fb469e62 | <|skeleton|>
class E2xAPI:
def get_solution_cell_ids(self, assignment_id, notebook_id):
"""Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name of the assignment notebook_id: string The name of the notebook Returns ------- solution_cells:... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class E2xAPI:
def get_solution_cell_ids(self, assignment_id, notebook_id):
"""Get information about the solution cells of a notebook given its name. Arguments --------- assignment_id: string The name of the assignment notebook_id: string The name of the notebook Returns ------- solution_cells: dict A dictio... | the_stack_v2_python_sparse | e2xgrader/apps/api.py | divindevaiah/e2xgrader | train | 0 | |
da577011b4bad29f3cbda1e044ee544f6bcce846 | [
"if not os.path.exists(path):\n return\nif os.path.isfile(path) or os.path.islink(path):\n os.unlink(path)\nelse:\n shutil.rmtree(path)",
"if os.path.exists(dstname):\n if os.path.abspath(linkto) == os.path.abspath(dstname):\n return\n os.unlink(dstname)\nos.symlink(linkto, dstname)",
"try... | <|body_start_0|>
if not os.path.exists(path):
return
if os.path.isfile(path) or os.path.islink(path):
os.unlink(path)
else:
shutil.rmtree(path)
<|end_body_0|>
<|body_start_1|>
if os.path.exists(dstname):
if os.path.abspath(linkto) == os.pa... | FileUtils | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileUtils:
def rm_rf(path):
"""Util to delete path"""
<|body_0|>
def symlink(linkto, dstname):
"""Util to symlink path"""
<|body_1|>
def mkdir_p(start_path):
"""Util to make path"""
<|body_2|>
def dir_size(start_path):
"""Uti... | stack_v2_sparse_classes_10k_train_000449 | 1,591 | no_license | [
{
"docstring": "Util to delete path",
"name": "rm_rf",
"signature": "def rm_rf(path)"
},
{
"docstring": "Util to symlink path",
"name": "symlink",
"signature": "def symlink(linkto, dstname)"
},
{
"docstring": "Util to make path",
"name": "mkdir_p",
"signature": "def mkdir... | 4 | stack_v2_sparse_classes_30k_train_004782 | Implement the Python class `FileUtils` described below.
Class description:
Implement the FileUtils class.
Method signatures and docstrings:
- def rm_rf(path): Util to delete path
- def symlink(linkto, dstname): Util to symlink path
- def mkdir_p(start_path): Util to make path
- def dir_size(start_path): Util to get t... | Implement the Python class `FileUtils` described below.
Class description:
Implement the FileUtils class.
Method signatures and docstrings:
- def rm_rf(path): Util to delete path
- def symlink(linkto, dstname): Util to symlink path
- def mkdir_p(start_path): Util to make path
- def dir_size(start_path): Util to get t... | 3962b3c7bab9d26bf871d257e15dd39c45ffaddd | <|skeleton|>
class FileUtils:
def rm_rf(path):
"""Util to delete path"""
<|body_0|>
def symlink(linkto, dstname):
"""Util to symlink path"""
<|body_1|>
def mkdir_p(start_path):
"""Util to make path"""
<|body_2|>
def dir_size(start_path):
"""Uti... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FileUtils:
def rm_rf(path):
"""Util to delete path"""
if not os.path.exists(path):
return
if os.path.isfile(path) or os.path.islink(path):
os.unlink(path)
else:
shutil.rmtree(path)
def symlink(linkto, dstname):
"""Util to symlink... | the_stack_v2_python_sparse | tools/files/file_utils.py | zigvu/samosa | train | 0 | |
6496fcc5c465ff63b3b1a46d5da4b7c5875d666c | [
"q = collections.deque()\nq.append(root)\nres = []\nwhile q:\n curr = q.popleft()\n if curr:\n res.append(curr.val)\n q.append(curr.left)\n q.append(curr.right)\n else:\n res.append(None)\nreturn str(res)",
"orig = eval(data)\nroot = TreeNode(orig[0]) if orig and orig[0] != No... | <|body_start_0|>
q = collections.deque()
q.append(root)
res = []
while q:
curr = q.popleft()
if curr:
res.append(curr.val)
q.append(curr.left)
q.append(curr.right)
else:
res.append(None)
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""apply bfs and index for decoding string"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
q = collec... | stack_v2_sparse_classes_10k_train_000450 | 1,405 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "apply bfs and index for decoding string",
"name": "deserialize",
"signature": "def deserialize(self, data)"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): apply bfs and index for decoding string | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): apply bfs and index for decoding string
<|skeleton|>
clas... | 7609fbd164e3dbedc11308fdc24b57b5097ade81 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""apply bfs and index for decoding string"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
q = collections.deque()
q.append(root)
res = []
while q:
curr = q.popleft()
if curr:
res.append(curr.val)
... | the_stack_v2_python_sparse | python/297_serialize_and_deserialize_binary_tree.py | MakrisHuang/LeetCode | train | 0 | |
4ee43d75b7619b50e1ab89aba5eac4aa7a9c76e7 | [
"if x < 0:\n return False\nelse:\n return x == self.reverseInt(x)",
"reverse = 0\nwhile x:\n reverse *= 10\n reverse += x % 10\n x //= 10\nreturn reverse"
] | <|body_start_0|>
if x < 0:
return False
else:
return x == self.reverseInt(x)
<|end_body_0|>
<|body_start_1|>
reverse = 0
while x:
reverse *= 10
reverse += x % 10
x //= 10
return reverse
<|end_body_1|>
| Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
"""Time: O(log(x)) Space: O(1)"""
<|body_0|>
def reverseInt(self, x):
"""Return the reversed version of a positive int."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if x < 0:
return False
e... | stack_v2_sparse_classes_10k_train_000451 | 680 | no_license | [
{
"docstring": "Time: O(log(x)) Space: O(1)",
"name": "isPalindrome",
"signature": "def isPalindrome(self, x)"
},
{
"docstring": "Return the reversed version of a positive int.",
"name": "reverseInt",
"signature": "def reverseInt(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003543 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): Time: O(log(x)) Space: O(1)
- def reverseInt(self, x): Return the reversed version of a positive int. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, x): Time: O(log(x)) Space: O(1)
- def reverseInt(self, x): Return the reversed version of a positive int.
<|skeleton|>
class Solution:
def isPalindro... | dfe4aa136fe57913e5c0bac091262ad451a57703 | <|skeleton|>
class Solution:
def isPalindrome(self, x):
"""Time: O(log(x)) Space: O(1)"""
<|body_0|>
def reverseInt(self, x):
"""Return the reversed version of a positive int."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, x):
"""Time: O(log(x)) Space: O(1)"""
if x < 0:
return False
else:
return x == self.reverseInt(x)
def reverseInt(self, x):
"""Return the reversed version of a positive int."""
reverse = 0
while x:
... | the_stack_v2_python_sparse | LeetCode/src/009 - Palindrome Number.py | Rudra-Patil/Programming-Exercises | train | 1 | |
9fb2c1b5fa8cc6e1a0b8314c7c9794b617b3698a | [
"super().__init__(xsize, ysize)\nif self.xsize % 2 == 0 or self.ysize % 2 == 0:\n raise ValueError('xsize and ysize must be odd')\nself.grid = [['@'] * self.xsize for _ in range(self.ysize)]\nself.generate()\nself.start = (1, 1)\nself.goal = (self.xsize - 2, self.ysize - 2)\nassert self.is_free(*self.start)\nass... | <|body_start_0|>
super().__init__(xsize, ysize)
if self.xsize % 2 == 0 or self.ysize % 2 == 0:
raise ValueError('xsize and ysize must be odd')
self.grid = [['@'] * self.xsize for _ in range(self.ysize)]
self.generate()
self.start = (1, 1)
self.goal = (self.xsi... | Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.) | PrimRandomMaze | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrimRandomMaze:
"""Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.)"""
def __init__(self, xsize, ysize):
"""Create a new random maze of si... | stack_v2_sparse_classes_10k_train_000452 | 8,089 | no_license | [
{
"docstring": "Create a new random maze of size (xsize,ysize). Both dimensions must be odd.",
"name": "__init__",
"signature": "def __init__(self, xsize, ysize)"
},
{
"docstring": "Make the maze using Prim's algorithm",
"name": "generate",
"signature": "def generate(self)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_005284 | Implement the Python class `PrimRandomMaze` described below.
Class description:
Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.)
Method signatures and docstrings:
- def __i... | Implement the Python class `PrimRandomMaze` described below.
Class description:
Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.)
Method signatures and docstrings:
- def __i... | 6886dab8fe2a62d0bf2668d783a8fdc35b62d6de | <|skeleton|>
class PrimRandomMaze:
"""Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.)"""
def __init__(self, xsize, ysize):
"""Create a new random maze of si... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PrimRandomMaze:
"""Randomly generated maze using Prim's algorithm: https://en.wikipedia.org/wiki/Prim%27s_algorithm (Known for producing mazes with lots of short dead ends, only moderately challenging for humans.)"""
def __init__(self, xsize, ysize):
"""Create a new random maze of size (xsize,ysi... | the_stack_v2_python_sparse | samplecode/recursion/maze.py | daviddumas/mcs275spring2021 | train | 0 |
5d5b29c9197d99cad3bcedcfbd6e81568364e188 | [
"self.alias_name = alias_name\nself.client_subnet_whitelist = client_subnet_whitelist\nself.smb_config = smb_config\nself.view_path = view_path",
"if dictionary is None:\n return None\nalias_name = dictionary.get('aliasName')\nclient_subnet_whitelist = None\nif dictionary.get('clientSubnetWhitelist') != None:\... | <|body_start_0|>
self.alias_name = alias_name
self.client_subnet_whitelist = client_subnet_whitelist
self.smb_config = smb_config
self.view_path = view_path
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
alias_name = dictionary.get('aliasN... | Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that are allowed to access the share. smb_config (AliasSmbConfig): Message defining ... | ViewAliasInfo | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ViewAliasInfo:
"""Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that are allowed to access the share. smb_c... | stack_v2_sparse_classes_10k_train_000453 | 2,873 | permissive | [
{
"docstring": "Constructor for the ViewAliasInfo class",
"name": "__init__",
"signature": "def __init__(self, alias_name=None, client_subnet_whitelist=None, smb_config=None, view_path=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A ... | 2 | stack_v2_sparse_classes_30k_train_000866 | Implement the Python class `ViewAliasInfo` described below.
Class description:
Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that... | Implement the Python class `ViewAliasInfo` described below.
Class description:
Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ViewAliasInfo:
"""Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that are allowed to access the share. smb_c... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ViewAliasInfo:
"""Implementation of the 'ViewAliasInfo' model. View Alias Info is returned as part of list views. Attributes: alias_name (string): Alias name. client_subnet_whitelist (list of ClusterConfigProtoSubnet): List of external client subnet IPs that are allowed to access the share. smb_config (AliasS... | the_stack_v2_python_sparse | cohesity_management_sdk/models/view_alias_info.py | cohesity/management-sdk-python | train | 24 |
b269c5963df6e2986513560b1c158dc5e1ec4958 | [
"super(Text_Encoder, self).__init__()\nself.fc1_text_dim = model_parameters.FC1_TEXT_DIM\nself.fc2_text_dim = model_parameters.FC2_TEXT_DIM\nself.fine_tune_text = model_parameters.FINE_TUNE_TEXT\nself.fine_tune_text_layers = model_parameters.FINE_TUNE_TEXT_LAYERS\nself.dropout_p = model_parameters.DROPOUT_P\nself.c... | <|body_start_0|>
super(Text_Encoder, self).__init__()
self.fc1_text_dim = model_parameters.FC1_TEXT_DIM
self.fc2_text_dim = model_parameters.FC2_TEXT_DIM
self.fine_tune_text = model_parameters.FINE_TUNE_TEXT
self.fine_tune_text_layers = model_parameters.FINE_TUNE_TEXT_LAYERS
... | Text Encoder MOdel | Text_Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Text_Encoder:
"""Text Encoder MOdel"""
def __init__(self):
"""@param fine_tune_text (bool): Set `False` to fine-tune the BERT model"""
<|body_0|>
def forward(self, input_ids, attention_mask):
"""Feed input to BERT and the classifier to compute logits. @param inpu... | stack_v2_sparse_classes_10k_train_000454 | 9,539 | no_license | [
{
"docstring": "@param fine_tune_text (bool): Set `False` to fine-tune the BERT model",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Feed input to BERT and the classifier to compute logits. @param input_ids (torch.Tensor): an input tensor with shape (batch_size, max_l... | 3 | stack_v2_sparse_classes_30k_train_002874 | Implement the Python class `Text_Encoder` described below.
Class description:
Text Encoder MOdel
Method signatures and docstrings:
- def __init__(self): @param fine_tune_text (bool): Set `False` to fine-tune the BERT model
- def forward(self, input_ids, attention_mask): Feed input to BERT and the classifier to comput... | Implement the Python class `Text_Encoder` described below.
Class description:
Text Encoder MOdel
Method signatures and docstrings:
- def __init__(self): @param fine_tune_text (bool): Set `False` to fine-tune the BERT model
- def forward(self, input_ids, attention_mask): Feed input to BERT and the classifier to comput... | cf4d2a603ec0cbfaab0ce550f19110742970bcba | <|skeleton|>
class Text_Encoder:
"""Text Encoder MOdel"""
def __init__(self):
"""@param fine_tune_text (bool): Set `False` to fine-tune the BERT model"""
<|body_0|>
def forward(self, input_ids, attention_mask):
"""Feed input to BERT and the classifier to compute logits. @param inpu... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Text_Encoder:
"""Text Encoder MOdel"""
def __init__(self):
"""@param fine_tune_text (bool): Set `False` to fine-tune the BERT model"""
super(Text_Encoder, self).__init__()
self.fc1_text_dim = model_parameters.FC1_TEXT_DIM
self.fc2_text_dim = model_parameters.FC2_TEXT_DIM
... | the_stack_v2_python_sparse | code/src/sub_modules.py | mudit-dhawan/FND | train | 2 |
be3ef39a100787c28ef1f7579f7aa2352d42a905 | [
"self.name = name\nself.rect = pg.Rect(rect)\nself.command = command\nself.color = (128, 128, 128)\nself.select_rect = self.rect.inflate(-10, -10)\nself.checked = checked",
"if event.type == pg.MOUSEBUTTONDOWN and event.button == 1:\n if self.rect.collidepoint(event.pos):\n self.toggle()",
"self.check... | <|body_start_0|>
self.name = name
self.rect = pg.Rect(rect)
self.command = command
self.color = (128, 128, 128)
self.select_rect = self.rect.inflate(-10, -10)
self.checked = checked
<|end_body_0|>
<|body_start_1|>
if event.type == pg.MOUSEBUTTONDOWN and event.but... | A simple checkbox class. Size and appearance are currently hardcoded. | CheckBox | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckBox:
"""A simple checkbox class. Size and appearance are currently hardcoded."""
def __init__(self, name, rect, checked=False, command=None):
"""The argument name is a string used to refer to the box; rect is a pygame.Rect for the area of the box (inclusive of the border); check... | stack_v2_sparse_classes_10k_train_000455 | 14,532 | no_license | [
{
"docstring": "The argument name is a string used to refer to the box; rect is a pygame.Rect for the area of the box (inclusive of the border); checked is a boolean indicating whether or not the button is currently checked; command is the function that is called when the box is checked or unchecked.",
"nam... | 4 | stack_v2_sparse_classes_30k_train_005891 | Implement the Python class `CheckBox` described below.
Class description:
A simple checkbox class. Size and appearance are currently hardcoded.
Method signatures and docstrings:
- def __init__(self, name, rect, checked=False, command=None): The argument name is a string used to refer to the box; rect is a pygame.Rect... | Implement the Python class `CheckBox` described below.
Class description:
A simple checkbox class. Size and appearance are currently hardcoded.
Method signatures and docstrings:
- def __init__(self, name, rect, checked=False, command=None): The argument name is a string used to refer to the box; rect is a pygame.Rect... | cee7e4b5dc28c57a6c912852827652b5f51005ae | <|skeleton|>
class CheckBox:
"""A simple checkbox class. Size and appearance are currently hardcoded."""
def __init__(self, name, rect, checked=False, command=None):
"""The argument name is a string used to refer to the box; rect is a pygame.Rect for the area of the box (inclusive of the border); check... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CheckBox:
"""A simple checkbox class. Size and appearance are currently hardcoded."""
def __init__(self, name, rect, checked=False, command=None):
"""The argument name is a string used to refer to the box; rect is a pygame.Rect for the area of the box (inclusive of the border); checked is a boole... | the_stack_v2_python_sparse | IE_games_3/cabbages-and-kings-master/data/map_components/map_gui_widgets.py | IndexErrorCoders/PygamesCompilation | train | 2 |
a569d13be0708392f855863b48568f42128abc76 | [
"self.get_compression_type_string(compression_type)\nself.compression_type = compression_type\nself.flush_mode = flush_mode\nself.input_buffer_size = input_buffer_size\nself.output_buffer_size = output_buffer_size\nself.window_bits = window_bits\nself.compression_level = compression_level\nself.compression_method =... | <|body_start_0|>
self.get_compression_type_string(compression_type)
self.compression_type = compression_type
self.flush_mode = flush_mode
self.input_buffer_size = input_buffer_size
self.output_buffer_size = output_buffer_size
self.window_bits = window_bits
self.co... | Options used for manipulating TFRecord files. | TFRecordOptions | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TFRecordOptions:
"""Options used for manipulating TFRecord files."""
def __init__(self, compression_type=None, flush_mode=None, input_buffer_size=None, output_buffer_size=None, window_bits=None, compression_level=None, compression_method=None, mem_level=None, compression_strategy=None):
... | stack_v2_sparse_classes_10k_train_000456 | 11,670 | permissive | [
{
"docstring": "Creates a `TFRecordOptions` instance. Options only effect TFRecordWriter when compression_type is not `None`. Documentation, details, and defaults can be found in [`zlib_compression_options.h`](https://www.tensorflow.org/code/tensorflow/core/lib/io/zlib_compression_options.h) and in the [zlib ma... | 3 | stack_v2_sparse_classes_30k_train_005450 | Implement the Python class `TFRecordOptions` described below.
Class description:
Options used for manipulating TFRecord files.
Method signatures and docstrings:
- def __init__(self, compression_type=None, flush_mode=None, input_buffer_size=None, output_buffer_size=None, window_bits=None, compression_level=None, compr... | Implement the Python class `TFRecordOptions` described below.
Class description:
Options used for manipulating TFRecord files.
Method signatures and docstrings:
- def __init__(self, compression_type=None, flush_mode=None, input_buffer_size=None, output_buffer_size=None, window_bits=None, compression_level=None, compr... | a7f3934a67900720af3d3b15389551483bee50b8 | <|skeleton|>
class TFRecordOptions:
"""Options used for manipulating TFRecord files."""
def __init__(self, compression_type=None, flush_mode=None, input_buffer_size=None, output_buffer_size=None, window_bits=None, compression_level=None, compression_method=None, mem_level=None, compression_strategy=None):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TFRecordOptions:
"""Options used for manipulating TFRecord files."""
def __init__(self, compression_type=None, flush_mode=None, input_buffer_size=None, output_buffer_size=None, window_bits=None, compression_level=None, compression_method=None, mem_level=None, compression_strategy=None):
"""Create... | the_stack_v2_python_sparse | tensorflow/python/lib/io/tf_record.py | tensorflow/tensorflow | train | 208,740 |
9ed44e8405a992a194d64ef1dfe95b7da8b63d1b | [
"outString = ''\nunitLen = 8\nfor singleStr in strs:\n strLen = len(singleStr)\n strLenLen = len(str(strLen))\n outString += '0' * (unitLen - strLenLen) + str(strLen)\n outString += singleStr\nreturn outString",
"strList = []\ninputLen = len(s)\nif inputLen > 0:\n unitLen = 8\n curIdx = 0\n w... | <|body_start_0|>
outString = ''
unitLen = 8
for singleStr in strs:
strLen = len(singleStr)
strLenLen = len(str(strLen))
outString += '0' * (unitLen - strLenLen) + str(strLen)
outString += singleStr
return outString
<|end_body_0|>
<|body_st... | Codec | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
outString... | stack_v2_sparse_classes_10k_train_000457 | 1,253 | permissive | [
{
"docstring": "Encodes a list of strings to a single string.",
"name": "encode",
"signature": "def encode(self, strs: [str]) -> str"
},
{
"docstring": "Decodes a single string to a list of strings.",
"name": "decode",
"signature": "def decode(self, s: str) -> [str]"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs: [str]) -> str: Encodes a list of strings to a single string.
- def decode(self, s: str) -> [str]: Decodes a single string to a list of strings.
<|skeleton|>
cla... | 48a57f6a5d5745199c5685cd2c8f5c4fa293e54a | <|skeleton|>
class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
<|body_0|>
def decode(self, s: str) -> [str]:
"""Decodes a single string to a list of strings."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs: [str]) -> str:
"""Encodes a list of strings to a single string."""
outString = ''
unitLen = 8
for singleStr in strs:
strLen = len(singleStr)
strLenLen = len(str(strLen))
outString += '0' * (unitLen - strLenLen) +... | the_stack_v2_python_sparse | Q02__/71_Encode_and_Decode_Strings/Solution.py | hsclinical/leetcode | train | 0 | |
ac53cfcd3a64493e0ae54c879ed11c122106dcc9 | [
"if self.memory:\n return str(self.data)\nwith helpers.ensure_open(self):\n return self.text_stream.read(size)",
"resource = target\nif not isinstance(resource, Resource):\n resource = TextResource(**options)\nif not isinstance(resource, TextResource):\n raise FrictionlessException('target must be a t... | <|body_start_0|>
if self.memory:
return str(self.data)
with helpers.ensure_open(self):
return self.text_stream.read(size)
<|end_body_0|>
<|body_start_1|>
resource = target
if not isinstance(resource, Resource):
resource = TextResource(**options)
... | TextResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextResource:
def read_text(self, *, size: Optional[int]=None) -> str:
"""Read text into memory Returns: str: resource text"""
<|body_0|>
def write_text(self, target: Optional[Union[TextResource, Any]]=None, **options: Any):
"""Write text data to the target"""
... | stack_v2_sparse_classes_10k_train_000458 | 1,414 | permissive | [
{
"docstring": "Read text into memory Returns: str: resource text",
"name": "read_text",
"signature": "def read_text(self, *, size: Optional[int]=None) -> str"
},
{
"docstring": "Write text data to the target",
"name": "write_text",
"signature": "def write_text(self, target: Optional[Uni... | 2 | null | Implement the Python class `TextResource` described below.
Class description:
Implement the TextResource class.
Method signatures and docstrings:
- def read_text(self, *, size: Optional[int]=None) -> str: Read text into memory Returns: str: resource text
- def write_text(self, target: Optional[Union[TextResource, Any... | Implement the Python class `TextResource` described below.
Class description:
Implement the TextResource class.
Method signatures and docstrings:
- def read_text(self, *, size: Optional[int]=None) -> str: Read text into memory Returns: str: resource text
- def write_text(self, target: Optional[Union[TextResource, Any... | 740319edeee58f12cc6956a53356f3065ff18cbb | <|skeleton|>
class TextResource:
def read_text(self, *, size: Optional[int]=None) -> str:
"""Read text into memory Returns: str: resource text"""
<|body_0|>
def write_text(self, target: Optional[Union[TextResource, Any]]=None, **options: Any):
"""Write text data to the target"""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TextResource:
def read_text(self, *, size: Optional[int]=None) -> str:
"""Read text into memory Returns: str: resource text"""
if self.memory:
return str(self.data)
with helpers.ensure_open(self):
return self.text_stream.read(size)
def write_text(self, targ... | the_stack_v2_python_sparse | frictionless/resources/text.py | frictionlessdata/frictionless-py | train | 295 | |
d72ce3187a2d3dcaadc879d8dcc3b0dae44e774b | [
"self.records = int(records)\nself.sql = sql\nself.group_id = group_id\nself.token = token\nself.pagesql = self.get_page_sql()",
"page_sql = ''\nif self.group_id == None:\n page_sql = self.sql[:-5] + ' order by adddate desc'\nelif self.group_id == '0':\n groupid = GROP_OPT(self.token).getGroupID()\n if g... | <|body_start_0|>
self.records = int(records)
self.sql = sql
self.group_id = group_id
self.token = token
self.pagesql = self.get_page_sql()
<|end_body_0|>
<|body_start_1|>
page_sql = ''
if self.group_id == None:
page_sql = self.sql[:-5] + ' order by ad... | 分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回 | Paginator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Paginator:
"""分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回"""
def __init__(self, records, sql, group_id=None, token=None):
"""初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID"""
<|body_0|>
def get_page_sql(self):
"""获取数据查询sql语句 :param group... | stack_v2_sparse_classes_10k_train_000459 | 7,184 | permissive | [
{
"docstring": "初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID",
"name": "__init__",
"signature": "def __init__(self, records, sql, group_id=None, token=None)"
},
{
"docstring": "获取数据查询sql语句 :param group_id:分组ID :return: 数据查询sql",
"name": "get_page_sql",
"signatu... | 6 | stack_v2_sparse_classes_30k_train_003586 | Implement the Python class `Paginator` described below.
Class description:
分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回
Method signatures and docstrings:
- def __init__(self, records, sql, group_id=None, token=None): 初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID
- def get_page_sql(self): 获取数... | Implement the Python class `Paginator` described below.
Class description:
分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回
Method signatures and docstrings:
- def __init__(self, records, sql, group_id=None, token=None): 初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID
- def get_page_sql(self): 获取数... | e188b15a0aa4a9fde00dba15e8300e4b87973e2d | <|skeleton|>
class Paginator:
"""分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回"""
def __init__(self, records, sql, group_id=None, token=None):
"""初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID"""
<|body_0|>
def get_page_sql(self):
"""获取数据查询sql语句 :param group... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Paginator:
"""分页模块 主要是解决前端分页问题 输入 分页的每页记录数，分组id即可完成分页的数据返回"""
def __init__(self, records, sql, group_id=None, token=None):
"""初始化分页类 :param records: 每页显示数量 :param sql: 要查询的sql :param group_id: 分组ID"""
self.records = int(records)
self.sql = sql
self.group_id = group_id
... | the_stack_v2_python_sparse | at_tmp/model/util/TMP_PAGINATOR.py | zuoleilei3253/zuoleilei | train | 0 |
55d5c80f475978a4009e1af24d720b8a0c3ca0eb | [
"ctx.shift = shift\nctx.quantum_circuit = quantum_circuit\nresults = []\nfor batch in input:\n expectation_z = ctx.quantum_circuit.run(batch)\n results.append(expectation_z)\nresults = t.Tensor(results)\nctx.save_for_backward(input, results)\nreturn results",
"input, expectation_z = ctx.saved_tensors\ninput... | <|body_start_0|>
ctx.shift = shift
ctx.quantum_circuit = quantum_circuit
results = []
for batch in input:
expectation_z = ctx.quantum_circuit.run(batch)
results.append(expectation_z)
results = t.Tensor(results)
ctx.save_for_backward(input, results)... | Hybrid quantum - classical function definition | HybridFunction | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HybridFunction:
"""Hybrid quantum - classical function definition"""
def forward(ctx, input, quantum_circuit, shift):
"""Forward pass computation"""
<|body_0|>
def backward(ctx, grad_output):
"""Backward pass computation"""
<|body_1|>
<|end_skeleton|>
<... | stack_v2_sparse_classes_10k_train_000460 | 25,405 | no_license | [
{
"docstring": "Forward pass computation",
"name": "forward",
"signature": "def forward(ctx, input, quantum_circuit, shift)"
},
{
"docstring": "Backward pass computation",
"name": "backward",
"signature": "def backward(ctx, grad_output)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001803 | Implement the Python class `HybridFunction` described below.
Class description:
Hybrid quantum - classical function definition
Method signatures and docstrings:
- def forward(ctx, input, quantum_circuit, shift): Forward pass computation
- def backward(ctx, grad_output): Backward pass computation | Implement the Python class `HybridFunction` described below.
Class description:
Hybrid quantum - classical function definition
Method signatures and docstrings:
- def forward(ctx, input, quantum_circuit, shift): Forward pass computation
- def backward(ctx, grad_output): Backward pass computation
<|skeleton|>
class H... | d87e5652085bcb1848f30aadde848fd530e984c2 | <|skeleton|>
class HybridFunction:
"""Hybrid quantum - classical function definition"""
def forward(ctx, input, quantum_circuit, shift):
"""Forward pass computation"""
<|body_0|>
def backward(ctx, grad_output):
"""Backward pass computation"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class HybridFunction:
"""Hybrid quantum - classical function definition"""
def forward(ctx, input, quantum_circuit, shift):
"""Forward pass computation"""
ctx.shift = shift
ctx.quantum_circuit = quantum_circuit
results = []
for batch in input:
expectation_z =... | the_stack_v2_python_sparse | src/partiqleDTR/pipelines/data_science/qftgnn.py | stroblme/partiqleDTR | train | 0 |
5d7d5d7acb30597d90f54b6474d6e5e367cd7d7a | [
"response_mock = Mock()\nresponse_mock.json.return_value = payload\nreturn response_mock",
"with patch('utils.requests') as mock_requests:\n mock_requests.get.return_value = self.response(payload)\n self.assertEqual(get_json(url), expected)\n assert mock_requests.get.call_count == 1"
] | <|body_start_0|>
response_mock = Mock()
response_mock.json.return_value = payload
return response_mock
<|end_body_0|>
<|body_start_1|>
with patch('utils.requests') as mock_requests:
mock_requests.get.return_value = self.response(payload)
self.assertEqual(get_json... | [summary] Args: unittest ([type]): [description] | TestGetJson | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestGetJson:
"""[summary] Args: unittest ([type]): [description]"""
def response(self, payload):
"""[summary]"""
<|body_0|>
def test_get_json(self, url, payload, expected):
"""[summary]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
response_mo... | stack_v2_sparse_classes_10k_train_000461 | 3,221 | no_license | [
{
"docstring": "[summary]",
"name": "response",
"signature": "def response(self, payload)"
},
{
"docstring": "[summary]",
"name": "test_get_json",
"signature": "def test_get_json(self, url, payload, expected)"
}
] | 2 | stack_v2_sparse_classes_30k_train_006619 | Implement the Python class `TestGetJson` described below.
Class description:
[summary] Args: unittest ([type]): [description]
Method signatures and docstrings:
- def response(self, payload): [summary]
- def test_get_json(self, url, payload, expected): [summary] | Implement the Python class `TestGetJson` described below.
Class description:
[summary] Args: unittest ([type]): [description]
Method signatures and docstrings:
- def response(self, payload): [summary]
- def test_get_json(self, url, payload, expected): [summary]
<|skeleton|>
class TestGetJson:
"""[summary] Args: ... | 94cae2ce3aa4cd72fc5907bd0148694054a9e60f | <|skeleton|>
class TestGetJson:
"""[summary] Args: unittest ([type]): [description]"""
def response(self, payload):
"""[summary]"""
<|body_0|>
def test_get_json(self, url, payload, expected):
"""[summary]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestGetJson:
"""[summary] Args: unittest ([type]): [description]"""
def response(self, payload):
"""[summary]"""
response_mock = Mock()
response_mock.json.return_value = payload
return response_mock
def test_get_json(self, url, payload, expected):
"""[summary]... | the_stack_v2_python_sparse | 0x09-Unittests_and_integration_tests/test_utils.py | nakadorx/holbertonschool-web_back_end | train | 0 |
55b40ed88c7de608ff1ae5d5fe14d375d7597956 | [
"self.attributes_descriptor = attributes_descriptor\nself.enable_rollup = enable_rollup\nself.entities_time_to_live_secs = entities_time_to_live_secs\nself.flush_interval_secs = flush_interval_secs\nself.is_internal_schema = is_internal_schema\nself.largest_flush_interval_secs = largest_flush_interval_secs\nself.na... | <|body_start_0|>
self.attributes_descriptor = attributes_descriptor
self.enable_rollup = enable_rollup
self.entities_time_to_live_secs = entities_time_to_live_secs
self.flush_interval_secs = flush_interval_secs
self.is_internal_schema = is_internal_schema
self.largest_flu... | Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type description here. enable_rollup (bool): Timeseries for an entity schema is rolled up... | EntitySchemaProto | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EntitySchemaProto:
"""Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type description here. enable_rollup (bool):... | stack_v2_sparse_classes_10k_train_000462 | 7,912 | permissive | [
{
"docstring": "Constructor for the EntitySchemaProto class",
"name": "__init__",
"signature": "def __init__(self, attributes_descriptor=None, enable_rollup=None, entities_time_to_live_secs=None, flush_interval_secs=None, is_internal_schema=None, largest_flush_interval_secs=None, name=None, rollup_granu... | 2 | null | Implement the Python class `EntitySchemaProto` described below.
Class description:
Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type ... | Implement the Python class `EntitySchemaProto` described below.
Class description:
Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class EntitySchemaProto:
"""Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type description here. enable_rollup (bool):... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class EntitySchemaProto:
"""Implementation of the 'EntitySchemaProto' model. Specifies the meta-data associated with entity such as the list of attributes and time series data. Attributes: attributes_descriptor (EntitySchemaProto_AttributesDescriptor): TODO: Type description here. enable_rollup (bool): Timeseries f... | the_stack_v2_python_sparse | cohesity_management_sdk/models/entity_schema_proto.py | cohesity/management-sdk-python | train | 24 |
df78e9548770460872b397047f451255f69bf0a2 | [
"self.large = []\nself.small = []\nself.len_large = 0\nself.len_small = 0",
"if self.len_large == self.len_small:\n heappush(self.small, -heappushpop(self.large, num))\n self.len_small += 1\nelse:\n heappush(self.large, -heappushpop(self.small, -num))\n self.len_large += 1",
"if self.len_small == 0:... | <|body_start_0|>
self.large = []
self.small = []
self.len_large = 0
self.len_small = 0
<|end_body_0|>
<|body_start_1|>
if self.len_large == self.len_small:
heappush(self.small, -heappushpop(self.large, num))
self.len_small += 1
else:
h... | MedianFinder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_10k_train_000463 | 1,946 | no_license | [
{
"docstring": "initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ":type num: int :rtype: void",
"name": "addNum",
"signature": "def addNum(self, num)"
},
{
"docstring": ":rtype: float",
"name": "findMedian",
"s... | 3 | null | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float
<|skeleton|>
class Me... | a46b07adec6a8cb7e331e0b985d88cd34a3d5667 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
self.large = []
self.small = []
self.len_large = 0
self.len_small = 0
def addNum(self, num):
""":type num: int :rtype: void"""
if self.len_large == self.len_small:
... | the_stack_v2_python_sparse | 295_Find_Median_from_Data_Stream.py | ZDawang/leetcode | train | 8 | |
e485d15ba9140bb22e30b9c72e18bd6fd5a8b19a | [
"super(LayerNorm, self).__init__()\nself.weight = self.set_parameters('gamma', ones(hidden_size))\nself.bias = self.set_parameters('beta', zeros(hidden_size))\nself.variance_epsilon = eps",
"u = x.mean(-1, keepdim=True)\ns = (x - u).pow(2).mean(-1, keepdim=True)\nx = (x - u) / sqrt(s + self.variance_epsilon)\nret... | <|body_start_0|>
super(LayerNorm, self).__init__()
self.weight = self.set_parameters('gamma', ones(hidden_size))
self.bias = self.set_parameters('beta', zeros(hidden_size))
self.variance_epsilon = eps
<|end_body_0|>
<|body_start_1|>
u = x.mean(-1, keepdim=True)
s = (x - ... | Layer Norm module. | LayerNorm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LayerNorm:
"""Layer Norm module."""
def __init__(self, hidden_size, eps=1e-12):
"""Construct a layernorm module in the TF style (epsilon inside the square root)."""
<|body_0|>
def call(self, x):
"""Call LayerNorm."""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_10k_train_000464 | 25,894 | permissive | [
{
"docstring": "Construct a layernorm module in the TF style (epsilon inside the square root).",
"name": "__init__",
"signature": "def __init__(self, hidden_size, eps=1e-12)"
},
{
"docstring": "Call LayerNorm.",
"name": "call",
"signature": "def call(self, x)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005652 | Implement the Python class `LayerNorm` described below.
Class description:
Layer Norm module.
Method signatures and docstrings:
- def __init__(self, hidden_size, eps=1e-12): Construct a layernorm module in the TF style (epsilon inside the square root).
- def call(self, x): Call LayerNorm. | Implement the Python class `LayerNorm` described below.
Class description:
Layer Norm module.
Method signatures and docstrings:
- def __init__(self, hidden_size, eps=1e-12): Construct a layernorm module in the TF style (epsilon inside the square root).
- def call(self, x): Call LayerNorm.
<|skeleton|>
class LayerNor... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class LayerNorm:
"""Layer Norm module."""
def __init__(self, hidden_size, eps=1e-12):
"""Construct a layernorm module in the TF style (epsilon inside the square root)."""
<|body_0|>
def call(self, x):
"""Call LayerNorm."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class LayerNorm:
"""Layer Norm module."""
def __init__(self, hidden_size, eps=1e-12):
"""Construct a layernorm module in the TF style (epsilon inside the square root)."""
super(LayerNorm, self).__init__()
self.weight = self.set_parameters('gamma', ones(hidden_size))
self.bias = ... | the_stack_v2_python_sparse | zeus/modules/operators/functions/pytorch_fn.py | huawei-noah/xingtian | train | 308 |
a314e9d42e749bc9a4413b8e445c96c4ab1a3ace | [
"super(InTimeToArrivalToLocation, self).__init__(name)\nself.logger.debug('%s.__init__()' % self.__class__.__name__)\nself._actor = actor\nself._time = time\nself._target_location = location",
"new_status = py_trees.common.Status.RUNNING\ncurrent_location = CarlaDataProvider.get_location(self._actor)\nif current_... | <|body_start_0|>
super(InTimeToArrivalToLocation, self).__init__(name)
self.logger.debug('%s.__init__()' % self.__class__.__name__)
self._actor = actor
self._time = time
self._target_location = location
<|end_body_0|>
<|body_start_1|>
new_status = py_trees.common.Status.... | This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA is less than _time_ in seconds - location: Location to be checked in this behavior The condi... | InTimeToArrivalToLocation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InTimeToArrivalToLocation:
"""This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA is less than _time_ in seconds - locati... | stack_v2_sparse_classes_10k_train_000465 | 18,494 | permissive | [
{
"docstring": "Setup parameters",
"name": "__init__",
"signature": "def __init__(self, actor, time, location, name='TimeToArrival')"
},
{
"docstring": "Check if the actor can arrive at target_location within time",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003038 | Implement the Python class `InTimeToArrivalToLocation` described below.
Class description:
This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA ... | Implement the Python class `InTimeToArrivalToLocation` described below.
Class description:
This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA ... | 8ab0894b92e1f994802a218002021ee075c405bf | <|skeleton|>
class InTimeToArrivalToLocation:
"""This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA is less than _time_ in seconds - locati... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InTimeToArrivalToLocation:
"""This class contains a check if a actor arrives within a given time at a given location. Important parameters: - actor: CARLA actor to execute the behavior - name: Name of the condition - time: The behavior is successful, if TTA is less than _time_ in seconds - location: Location ... | the_stack_v2_python_sparse | carla_rllib/carla_rllib-prak_evaluator-carla_rllib-prak_evaluator/carla_rllib/prak_evaluator/srunner/scenarioconfigs/scenariomanager/scenarioatomics/atomic_trigger_conditions.py | TinaMenke/Deep-Reinforcement-Learning | train | 9 |
6af940cc2225fd3a2fefcb2d105878856acb5e03 | [
"tmp = []\nfor a in arr:\n if a == 0:\n tmp.append(0)\n tmp.append(0)\n else:\n tmp.append(a)\n if len(tmp) == len(arr):\n break\nfor i in range(len(arr)):\n arr[i] = tmp[i]\nreturn",
"possible_dups = 0\nlength_ = len(arr) - 1\nfor left in range(length_ + 1):\n if left >... | <|body_start_0|>
tmp = []
for a in arr:
if a == 0:
tmp.append(0)
tmp.append(0)
else:
tmp.append(a)
if len(tmp) == len(arr):
break
for i in range(len(arr)):
arr[i] = tmp[i]
retu... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def duplicateZeros(self, arr: List[int]) -> None:
"""Do not return anything, modify arr in-place instead."""
<|body_0|>
def duplicateZeros2(self, arr: List[int]) -> None:
"""Do not return anything, modify arr in-place instead."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_10k_train_000466 | 2,706 | no_license | [
{
"docstring": "Do not return anything, modify arr in-place instead.",
"name": "duplicateZeros",
"signature": "def duplicateZeros(self, arr: List[int]) -> None"
},
{
"docstring": "Do not return anything, modify arr in-place instead.",
"name": "duplicateZeros2",
"signature": "def duplicat... | 2 | stack_v2_sparse_classes_30k_train_001550 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def duplicateZeros(self, arr: List[int]) -> None: Do not return anything, modify arr in-place instead.
- def duplicateZeros2(self, arr: List[int]) -> None: Do not return anything... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def duplicateZeros(self, arr: List[int]) -> None: Do not return anything, modify arr in-place instead.
- def duplicateZeros2(self, arr: List[int]) -> None: Do not return anything... | 810575368ecffa97677bdb51744d1f716140bbb1 | <|skeleton|>
class Solution:
def duplicateZeros(self, arr: List[int]) -> None:
"""Do not return anything, modify arr in-place instead."""
<|body_0|>
def duplicateZeros2(self, arr: List[int]) -> None:
"""Do not return anything, modify arr in-place instead."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def duplicateZeros(self, arr: List[int]) -> None:
"""Do not return anything, modify arr in-place instead."""
tmp = []
for a in arr:
if a == 0:
tmp.append(0)
tmp.append(0)
else:
tmp.append(a)
i... | the_stack_v2_python_sparse | D/DuplicateZeros.py | bssrdf/pyleet | train | 2 | |
21b5ca12c811872e34248dc43f74403446b30991 | [
"date_by_year = {1: 31, 2: 28, 3: 31, 4: 30, 5: 31, 6: 30, 7: 31, 8: 31, 9: 30, 10: 31, 11: 30, 12: 31}\nyear, month, date = [int(x) for x in date.split('-')]\ndates = 0\nif self.is_leap(year):\n date_by_year[2] += 1\nfor key in range(1, month):\n dates += date_by_year[key]\nreturn dates + date",
"if year %... | <|body_start_0|>
date_by_year = {1: 31, 2: 28, 3: 31, 4: 30, 5: 31, 6: 30, 7: 31, 8: 31, 9: 30, 10: 31, 11: 30, 12: 31}
year, month, date = [int(x) for x in date.split('-')]
dates = 0
if self.is_leap(year):
date_by_year[2] += 1
for key in range(1, month):
... | Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year. | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year."""
def dayOfYear(self, date):
"""Given a string date representing a Gregorian calendar date ... | stack_v2_sparse_classes_10k_train_000467 | 1,914 | no_license | [
{
"docstring": "Given a string date representing a Gregorian calendar date formatted as YYYY-MM-DD, return the day number of the year. Example 1: Input: date = \"2019-01-09\" Output: 9 Explanation: Given date is the 9th day of the year in 2019. Example 2: Input: date = \"2019-02-10\" Output: 41 Example 3: Input... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year.
Method signatures and docstrings:
- def dayOfYear(self, date): Gi... | Implement the Python class `Solution` described below.
Class description:
Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year.
Method signatures and docstrings:
- def dayOfYear(self, date): Gi... | 01fe893ba2e37c9bda79e3081c556698f0b6d2f0 | <|skeleton|>
class Solution:
"""Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year."""
def dayOfYear(self, date):
"""Given a string date representing a Gregorian calendar date ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
"""Runtime: 36 ms, faster than 100.00% of Python3 online submissions for Day of the Year. Memory Usage: 13.8 MB, less than 100.00% of Python3 online submissions for Day of the Year."""
def dayOfYear(self, date):
"""Given a string date representing a Gregorian calendar date formatted as ... | the_stack_v2_python_sparse | LeetCode/1154_day_of_the_year.py | KKosukeee/CodingQuestions | train | 1 |
30494a7b1a538396380a9897b4209b08a10edfaa | [
"try:\n ScfUser.objects.get(email=data)\nexcept:\n raise ParseError('User {} does not exist'.format(data))\nreturn data",
"newPassword = data.get('newPassword')\nif newPassword and newPassword != data.get('newPasswordConfirm'):\n raise ParseError('newPassword did not match newPasswordConfirm')\nreturn da... | <|body_start_0|>
try:
ScfUser.objects.get(email=data)
except:
raise ParseError('User {} does not exist'.format(data))
return data
<|end_body_0|>
<|body_start_1|>
newPassword = data.get('newPassword')
if newPassword and newPassword != data.get('newPassword... | User reset password serializer | UserPasswordResetSerializer | [
"Apache-2.0",
"GPL-3.0-only",
"BSD-3-Clause",
"AGPL-3.0-only",
"GPL-1.0-or-later",
"Python-2.0",
"BSD-2-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
<|body_0|>
def validate(self, data):
"""validate password"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_10k_train_000468 | 4,134 | permissive | [
{
"docstring": "check email is exist or not",
"name": "validate_email",
"signature": "def validate_email(self, data)"
},
{
"docstring": "validate password",
"name": "validate",
"signature": "def validate(self, data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002488 | Implement the Python class `UserPasswordResetSerializer` described below.
Class description:
User reset password serializer
Method signatures and docstrings:
- def validate_email(self, data): check email is exist or not
- def validate(self, data): validate password | Implement the Python class `UserPasswordResetSerializer` described below.
Class description:
User reset password serializer
Method signatures and docstrings:
- def validate_email(self, data): check email is exist or not
- def validate(self, data): validate password
<|skeleton|>
class UserPasswordResetSerializer:
... | 4df3f46e35eb8fcab796be27fc1cc7fa7ed561f3 | <|skeleton|>
class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
<|body_0|>
def validate(self, data):
"""validate password"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UserPasswordResetSerializer:
"""User reset password serializer"""
def validate_email(self, data):
"""check email is exist or not"""
try:
ScfUser.objects.get(email=data)
except:
raise ParseError('User {} does not exist'.format(data))
return data
... | the_stack_v2_python_sparse | SCRM/ums/serializers.py | aricent/secure-cloud-native-fabric | train | 2 |
12d13c4e8ebb52e213bfdf1f2afb672c0966b735 | [
"endpoint = cls.list_api_endpoint\nif user_id:\n endpoint += f'?user_id={user_id}'\nelif created_after:\n endpoint += f'?created_after={created_after.isoformat()}'\nresponse_json = cls.get(endpoint)\nmessages = [Message(**s) for s in response_json['results']]\nreturn messages",
"response_json = cls.get(cls.... | <|body_start_0|>
endpoint = cls.list_api_endpoint
if user_id:
endpoint += f'?user_id={user_id}'
elif created_after:
endpoint += f'?created_after={created_after.isoformat()}'
response_json = cls.get(endpoint)
messages = [Message(**s) for s in response_json[... | Messages | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param create... | stack_v2_sparse_classes_10k_train_000469 | 2,139 | permissive | [
{
"docstring": "Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param created_after: Only fetch messages created after timestamp. Must be provided if no user_id is provided. You can only fetch up to... | 3 | null | Implement the Python class `Messages` described below.
Class description:
Implement the Messages class.
Method signatures and docstrings:
- def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]: Get messages between you and another user or your messages with all users :pa... | Implement the Python class `Messages` described below.
Class description:
Implement the Messages class.
Method signatures and docstrings:
- def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]: Get messages between you and another user or your messages with all users :pa... | 1f540f9bd866d5fd625be4a4d61ad6bce564f1ed | <|skeleton|>
class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param create... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param created_after: Only ... | the_stack_v2_python_sparse | mephisto/abstractions/providers/prolific/api/messages.py | facebookresearch/Mephisto | train | 281 | |
5e53856906b22ba704b770636f090eef27fa3426 | [
"q = [root]\nhead = 0\ntail = 1\nresult = []\nwhile head < tail:\n node = q[head]\n if node == None:\n result.append('null')\n else:\n result.append(node.val)\n q.append(node.left)\n q.append(node.right)\n tail += 2\n head += 1\nreturn ','.join(result)",
"s = data.sp... | <|body_start_0|>
q = [root]
head = 0
tail = 1
result = []
while head < tail:
node = q[head]
if node == None:
result.append('null')
else:
result.append(node.val)
q.append(node.left)
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_000470 | 1,642 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_006015 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 6ce22264a9c34d6addf4eff4c196105eec12b113 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
q = [root]
head = 0
tail = 1
result = []
while head < tail:
node = q[head]
if node == None:
result.append('null')
... | the_stack_v2_python_sparse | Serialize_and_Deserialize_Binary_Tree.py | zhubw91/Leetcode | train | 0 | |
6510d25e3ea6fd49a9e769d1be2b267e0b0585af | [
"if len(s) == 0:\n return True\nnew_s = ''.join((i.lower for i in s if i.isalnum()))\nif new_s == new_s[::-1]:\n return True\nelse:\n return False",
"if len(s) == 0:\n return True\nnew_s = re.sub('[^A-Za-z0-9]', '', s)\nreturn s == s[::-1]"
] | <|body_start_0|>
if len(s) == 0:
return True
new_s = ''.join((i.lower for i in s if i.isalnum()))
if new_s == new_s[::-1]:
return True
else:
return False
<|end_body_0|>
<|body_start_1|>
if len(s) == 0:
return True
new_s = r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_0|>
def isPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(s) == 0:
return True
new_s = ''.join((... | stack_v2_sparse_classes_10k_train_000471 | 1,110 | no_license | [
{
"docstring": ":type s: str :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, s)"
},
{
"docstring": ":type s: str :rtype: bool",
"name": "isPalindrome",
"signature": "def isPalindrome(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001110 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, s): :type s: str :rtype: bool
- def isPalindrome(self, s): :type s: str :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isPalindrome(self, s): :type s: str :rtype: bool
- def isPalindrome(self, s): :type s: str :rtype: bool
<|skeleton|>
class Solution:
def isPalindrome(self, s):
... | 604efd2c53c369fb262f42f7f7f31997ea4d029b | <|skeleton|>
class Solution:
def isPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_0|>
def isPalindrome(self, s):
""":type s: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Solution:
def isPalindrome(self, s):
""":type s: str :rtype: bool"""
if len(s) == 0:
return True
new_s = ''.join((i.lower for i in s if i.isalnum()))
if new_s == new_s[::-1]:
return True
else:
return False
def isPalindrome(self, ... | the_stack_v2_python_sparse | 125_Valid_Palindrome.py | fxy1018/Leetcode | train | 1 | |
e2cb58ec1dc8e1432bfe105ed9aedef9548af49c | [
"if action_list is None:\n self.action_list = ['R', 'P', 'S']\nelse:\n self.action_list = action_list\nif payoff_matrix is None:\n self.payoff_matrix = {('R', 'P'): (0, 1), ('P', 'S'): (0, 1), ('S', 'R'): (0, 1)}\nfor action1 in self.action_list:\n for action2 in self.action_list:\n if (action1, ... | <|body_start_0|>
if action_list is None:
self.action_list = ['R', 'P', 'S']
else:
self.action_list = action_list
if payoff_matrix is None:
self.payoff_matrix = {('R', 'P'): (0, 1), ('P', 'S'): (0, 1), ('S', 'R'): (0, 1)}
for action1 in self.action_list... | The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of actions. - Payoffs are resolved based on both actions. - Each round of the... | Game | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Game:
"""The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of actions. - Payoffs are resolved based on b... | stack_v2_sparse_classes_10k_train_000472 | 2,366 | no_license | [
{
"docstring": "Create a new game model; defaults to Rock Paper Scissors. Args: action_list: The list of actions each player may take. payoff_matrix: Dictionary with the form {(action1, action2): (payoff1, payoff2), ....} If a pair of actions don't exist: If the inverse exists, use that (assume payoff is symmet... | 2 | stack_v2_sparse_classes_30k_train_001310 | Implement the Python class `Game` described below.
Class description:
The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of act... | Implement the Python class `Game` described below.
Class description:
The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of act... | aad981ebbc9400c795740ff5c3b1b920ec886be6 | <|skeleton|>
class Game:
"""The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of actions. - Payoffs are resolved based on b... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Game:
"""The class that describes the rules of the game. Defaults to Rock Paper Scissors, but can be used to describe any game where: - Players simultaneously and independently choose an action to play. - Both players have the same fixed, constant set of actions. - Payoffs are resolved based on both actions. ... | the_stack_v2_python_sparse | David Masad/RPS/Game.py | Aarijit/css605_2012 | train | 0 |
75467b608eeb5b1e32b0066815c42b8f9c48de2e | [
"self.name = name\nself.tags = tags\nself.enabled = enabled\nself.mtype = mtype\nself.vlan = vlan\nself.voice_vlan = voice_vlan\nself.allowed_vlans = allowed_vlans\nself.poe_enabled = poe_enabled\nself.isolation_enabled = isolation_enabled\nself.rstp_enabled = rstp_enabled\nself.stp_guard = stp_guard\nself.access_p... | <|body_start_0|>
self.name = name
self.tags = tags
self.enabled = enabled
self.mtype = mtype
self.vlan = vlan
self.voice_vlan = voice_vlan
self.allowed_vlans = allowed_vlans
self.poe_enabled = poe_enabled
self.isolation_enabled = isolation_enabled
... | Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switch port mtype (string): The type of the switch port ("access" or "trunk") vlan (int): The VLAN ... | UpdateDeviceSwitchPortModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateDeviceSwitchPortModel:
"""Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switch port mtype (string): The type of the ... | stack_v2_sparse_classes_10k_train_000473 | 7,240 | permissive | [
{
"docstring": "Constructor for the UpdateDeviceSwitchPortModel class",
"name": "__init__",
"signature": "def __init__(self, name=None, tags=None, enabled=None, mtype=None, vlan=None, voice_vlan=None, allowed_vlans=None, poe_enabled=None, isolation_enabled=None, rstp_enabled=None, stp_guard=None, access... | 2 | null | Implement the Python class `UpdateDeviceSwitchPortModel` described below.
Class description:
Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switc... | Implement the Python class `UpdateDeviceSwitchPortModel` described below.
Class description:
Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switc... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class UpdateDeviceSwitchPortModel:
"""Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switch port mtype (string): The type of the ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UpdateDeviceSwitchPortModel:
"""Implementation of the 'updateDeviceSwitchPort' model. TODO: type model description here. Attributes: name (string): The name of the switch port tags (string): The tags of the switch port enabled (bool): The status of the switch port mtype (string): The type of the switch port (... | the_stack_v2_python_sparse | meraki/models/update_device_switch_port_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
5925875f72848916fcb282858aae0bdf3e1ab559 | [
"bitmask = 0\nfor e in value:\n bitmask = bitmask | e.value\nreturn bitmask",
"masks = list()\nif value:\n for e in enums.CryptographicUsageMask:\n if e.value & value:\n masks.append(e)\nreturn masks"
] | <|body_start_0|>
bitmask = 0
for e in value:
bitmask = bitmask | e.value
return bitmask
<|end_body_0|>
<|body_start_1|>
masks = list()
if value:
for e in enums.CryptographicUsageMask:
if e.value & value:
masks.append(e)... | Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.CryptographicUsageMask Enums. | UsageMaskType | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsageMaskType:
"""Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.CryptographicUsageMask Enums."""
def pr... | stack_v2_sparse_classes_10k_train_000474 | 5,593 | permissive | [
{
"docstring": "Returns the integer value of the usage mask bitmask. This value is stored in the database. Args: value(list<enums.CryptographicUsageMask>): list of enums in the usage mask dialect(string): SQL dialect",
"name": "process_bind_param",
"signature": "def process_bind_param(self, value, diale... | 2 | stack_v2_sparse_classes_30k_train_005857 | Implement the Python class `UsageMaskType` described below.
Class description:
Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.Crypt... | Implement the Python class `UsageMaskType` described below.
Class description:
Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.Crypt... | f0a44b26ce902d8b9c330634d5b3603959edf1d4 | <|skeleton|>
class UsageMaskType:
"""Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.CryptographicUsageMask Enums."""
def pr... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class UsageMaskType:
"""Converts a list of enums.CryptographicUsageMask Enums in an integer bitmask. This allows the database to only store an integer instead of a list of enumbs. This also does the reverse of converting an integer bit mask into a list enums.CryptographicUsageMask Enums."""
def process_bind_pa... | the_stack_v2_python_sparse | kmip/pie/sqltypes.py | OpenKMIP/PyKMIP | train | 232 |
39365c2c3046c14a833e4408ffa54e4112c3a9bf | [
"self.n_head = n_head\nself.d_k = self.d_v = d_k = d_v = d_model // n_head\nself.dropout = dropout\nvs_layer = tf.keras.layers.Dense(d_v, use_bias=False)\nself.qs_layers = [_dense_layer(d_k, use_bias=False) for _ in range(n_head)]\nself.ks_layers = [_dense_layer(d_k, use_bias=False) for _ in range(n_head)]\nself.vs... | <|body_start_0|>
self.n_head = n_head
self.d_k = self.d_v = d_k = d_v = d_model // n_head
self.dropout = dropout
vs_layer = tf.keras.layers.Dense(d_v, use_bias=False)
self.qs_layers = [_dense_layer(d_k, use_bias=False) for _ in range(n_head)]
self.ks_layers = [_dense_laye... | Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to apply qs_layers: The list of query layers across heads. ks_layers: The list of key layers across head... | InterpretableMultiHeadAttention | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InterpretableMultiHeadAttention:
"""Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to apply qs_layers: The list of query layers ... | stack_v2_sparse_classes_10k_train_000475 | 19,798 | permissive | [
{
"docstring": "Initialises layer. Args: n_head: The number of heads. d_model: The dimensionality of TFT state. dropout: The dropout rate to be applied to the output.",
"name": "__init__",
"signature": "def __init__(self, n_head, d_model, dropout)"
},
{
"docstring": "Applies interpretable multih... | 2 | null | Implement the Python class `InterpretableMultiHeadAttention` described below.
Class description:
Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to app... | Implement the Python class `InterpretableMultiHeadAttention` described below.
Class description:
Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to app... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class InterpretableMultiHeadAttention:
"""Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to apply qs_layers: The list of query layers ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class InterpretableMultiHeadAttention:
"""Defines interpretable multi-head attention layer. Attributes: n_head: The number of heads for attention layer. d_k: The key and query dimensionality per head. d_v: The value dimensionality. dropout: The dropout rate to apply qs_layers: The list of query layers across heads.... | the_stack_v2_python_sparse | saf/models/tft_layers.py | Jimmy-INL/google-research | train | 1 |
17180925069fc4ed68eb2ef0415c0286b12ce395 | [
"self._attr_name = f'{name} {SENSOR_TYPES[sensor_type][0]}'\nself.bme680_client = bme680_client\nself.temp_unit = temp_unit\nself.type = sensor_type\nself._attr_unit_of_measurement = SENSOR_TYPES[sensor_type][1]\nself._attr_device_class = SENSOR_TYPES[sensor_type][2]",
"await self.hass.async_add_executor_job(self... | <|body_start_0|>
self._attr_name = f'{name} {SENSOR_TYPES[sensor_type][0]}'
self.bme680_client = bme680_client
self.temp_unit = temp_unit
self.type = sensor_type
self._attr_unit_of_measurement = SENSOR_TYPES[sensor_type][1]
self._attr_device_class = SENSOR_TYPES[sensor_ty... | Implementation of the BME680 sensor. | BME680Sensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BME680Sensor:
"""Implementation of the BME680 sensor."""
def __init__(self, bme680_client, sensor_type, temp_unit, name):
"""Initialize the sensor."""
<|body_0|>
async def async_update(self):
"""Get the latest data from the BME680 and update the states."""
... | stack_v2_sparse_classes_10k_train_000476 | 13,136 | permissive | [
{
"docstring": "Initialize the sensor.",
"name": "__init__",
"signature": "def __init__(self, bme680_client, sensor_type, temp_unit, name)"
},
{
"docstring": "Get the latest data from the BME680 and update the states.",
"name": "async_update",
"signature": "async def async_update(self)"
... | 2 | null | Implement the Python class `BME680Sensor` described below.
Class description:
Implementation of the BME680 sensor.
Method signatures and docstrings:
- def __init__(self, bme680_client, sensor_type, temp_unit, name): Initialize the sensor.
- async def async_update(self): Get the latest data from the BME680 and update ... | Implement the Python class `BME680Sensor` described below.
Class description:
Implementation of the BME680 sensor.
Method signatures and docstrings:
- def __init__(self, bme680_client, sensor_type, temp_unit, name): Initialize the sensor.
- async def async_update(self): Get the latest data from the BME680 and update ... | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | <|skeleton|>
class BME680Sensor:
"""Implementation of the BME680 sensor."""
def __init__(self, bme680_client, sensor_type, temp_unit, name):
"""Initialize the sensor."""
<|body_0|>
async def async_update(self):
"""Get the latest data from the BME680 and update the states."""
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BME680Sensor:
"""Implementation of the BME680 sensor."""
def __init__(self, bme680_client, sensor_type, temp_unit, name):
"""Initialize the sensor."""
self._attr_name = f'{name} {SENSOR_TYPES[sensor_type][0]}'
self.bme680_client = bme680_client
self.temp_unit = temp_unit
... | the_stack_v2_python_sparse | homeassistant/components/bme680/sensor.py | BenWoodford/home-assistant | train | 11 |
c7e36edd24db6319dd4e0d8dcf0c2dd532a7ca9d | [
"req_parser = RequestParser()\nreq_parser.add_argument('target', type=parser.article_id, required=True, location='json')\nreq_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='headers')\nargs = req_parser.parse_args()\ntarget = args.target\nif args.Trace:\n article = cache_article... | <|body_start_0|>
req_parser = RequestParser()
req_parser.add_argument('target', type=parser.article_id, required=True, location='json')
req_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='headers')
args = req_parser.parse_args()
target = args.tar... | 文章收藏 | CollectionListResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CollectionListResource:
"""文章收藏"""
def post(self):
"""用户收藏文章"""
<|body_0|>
def get(self):
"""获取用户的收藏历史"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
req_parser = RequestParser()
req_parser.add_argument('target', type=parser.article_id,... | stack_v2_sparse_classes_10k_train_000477 | 3,971 | no_license | [
{
"docstring": "用户收藏文章",
"name": "post",
"signature": "def post(self)"
},
{
"docstring": "获取用户的收藏历史",
"name": "get",
"signature": "def get(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004834 | Implement the Python class `CollectionListResource` described below.
Class description:
文章收藏
Method signatures and docstrings:
- def post(self): 用户收藏文章
- def get(self): 获取用户的收藏历史 | Implement the Python class `CollectionListResource` described below.
Class description:
文章收藏
Method signatures and docstrings:
- def post(self): 用户收藏文章
- def get(self): 获取用户的收藏历史
<|skeleton|>
class CollectionListResource:
"""文章收藏"""
def post(self):
"""用户收藏文章"""
<|body_0|>
def get(self):... | 12b52f21a4ec20b4853870468c28d2385dc185a8 | <|skeleton|>
class CollectionListResource:
"""文章收藏"""
def post(self):
"""用户收藏文章"""
<|body_0|>
def get(self):
"""获取用户的收藏历史"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class CollectionListResource:
"""文章收藏"""
def post(self):
"""用户收藏文章"""
req_parser = RequestParser()
req_parser.add_argument('target', type=parser.article_id, required=True, location='json')
req_parser.add_argument('Trace', type=inputs.regex('^.+$'), required=False, location='head... | the_stack_v2_python_sparse | flask_prj/tbd_42/toutiao/resources/news/collection.py | 123wuyu/demo_prj | train | 1 |
cfd67a60b14509ef84e84268f2c29e507bf2585f | [
"self._io_stream = io_stream\nself._output_format = output_format\nBase.__init__(self, **kw)",
"while True:\n batch = self._batch_q.pop()\n if batch is None:\n break\n self._io_stream.write(batch.formatted_str(self._output_format))\n self._io_stream.flush()"
] | <|body_start_0|>
self._io_stream = io_stream
self._output_format = output_format
Base.__init__(self, **kw)
<|end_body_0|>
<|body_start_1|>
while True:
batch = self._batch_q.pop()
if batch is None:
break
self._io_stream.write(batch.form... | Output records into IO stream | IoStream | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IoStream:
"""Output records into IO stream"""
def __init__(self, io_stream, output_format='json', **kw):
"""Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', 'csv' are supported. :param **kw: passed to :func:`Base.__... | stack_v2_sparse_classes_10k_train_000478 | 991 | permissive | [
{
"docstring": "Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', 'csv' are supported. :param **kw: passed to :func:`Base.__init__()`",
"name": "__init__",
"signature": "def __init__(self, io_stream, output_format='json', **kw)"
},
... | 2 | stack_v2_sparse_classes_30k_train_000361 | Implement the Python class `IoStream` described below.
Class description:
Output records into IO stream
Method signatures and docstrings:
- def __init__(self, io_stream, output_format='json', **kw): Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', '... | Implement the Python class `IoStream` described below.
Class description:
Output records into IO stream
Method signatures and docstrings:
- def __init__(self, io_stream, output_format='json', **kw): Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', '... | a1e34af507b94d51ba588ad4a039ce0115b46475 | <|skeleton|>
class IoStream:
"""Output records into IO stream"""
def __init__(self, io_stream, output_format='json', **kw):
"""Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', 'csv' are supported. :param **kw: passed to :func:`Base.__... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class IoStream:
"""Output records into IO stream"""
def __init__(self, io_stream, output_format='json', **kw):
"""Setup ostream :param io_stream: stream to `write()` :param output_format: ouput format of each record. One of 'json', 'csv' are supported. :param **kw: passed to :func:`Base.__init__()`"""
... | the_stack_v2_python_sparse | shellstreaming/ostream/io_stream.py | laysakura/shellstreaming | train | 1 |
a8b901effd6b802e80959fc12ed71be79a91520a | [
"expiring = parsed_args['expiring']\nif expiring:\n expiration = app.config.get('APP_SPECIFIC_TOKEN_EXPIRATION')\n token_expiration = convert_to_timedelta(expiration or _DEFAULT_TOKEN_EXPIRATION_WINDOW)\n seconds = math.ceil(token_expiration.total_seconds() * 0.1) or 1\n soon = timedelta(seconds=seconds... | <|body_start_0|>
expiring = parsed_args['expiring']
if expiring:
expiration = app.config.get('APP_SPECIFIC_TOKEN_EXPIRATION')
token_expiration = convert_to_timedelta(expiration or _DEFAULT_TOKEN_EXPIRATION_WINDOW)
seconds = math.ceil(token_expiration.total_seconds() *... | Lists all app specific tokens for a user. | AppTokens | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppTokens:
"""Lists all app specific tokens for a user."""
def get(self, parsed_args):
"""Lists the app specific tokens for the user."""
<|body_0|>
def post(self):
"""Create a new app specific token for user."""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_10k_train_000479 | 4,648 | permissive | [
{
"docstring": "Lists the app specific tokens for the user.",
"name": "get",
"signature": "def get(self, parsed_args)"
},
{
"docstring": "Create a new app specific token for user.",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `AppTokens` described below.
Class description:
Lists all app specific tokens for a user.
Method signatures and docstrings:
- def get(self, parsed_args): Lists the app specific tokens for the user.
- def post(self): Create a new app specific token for user. | Implement the Python class `AppTokens` described below.
Class description:
Lists all app specific tokens for a user.
Method signatures and docstrings:
- def get(self, parsed_args): Lists the app specific tokens for the user.
- def post(self): Create a new app specific token for user.
<|skeleton|>
class AppTokens:
... | e400a0c22c5f89dd35d571654b13d262b1f6e3b3 | <|skeleton|>
class AppTokens:
"""Lists all app specific tokens for a user."""
def get(self, parsed_args):
"""Lists the app specific tokens for the user."""
<|body_0|>
def post(self):
"""Create a new app specific token for user."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AppTokens:
"""Lists all app specific tokens for a user."""
def get(self, parsed_args):
"""Lists the app specific tokens for the user."""
expiring = parsed_args['expiring']
if expiring:
expiration = app.config.get('APP_SPECIFIC_TOKEN_EXPIRATION')
token_expir... | the_stack_v2_python_sparse | endpoints/api/appspecifictokens.py | quay/quay | train | 2,363 |
fdd48b6bd749fb056c73f66fede65c9650111c22 | [
"self.browser.get(self.live_server_url)\nnavbar = self.browser.find_element_by_id('id_navigation')\nself.assertTrue(len(navbar.find_elements_by_link_text('Superlists')) > 0)\nself.assertEqual(navbar.find_elements_by_link_text('应用'), [])\nself.assertEqual(navbar.find_elements_by_link_text('账单'), [])",
"self.goto_b... | <|body_start_0|>
self.browser.get(self.live_server_url)
navbar = self.browser.find_element_by_id('id_navigation')
self.assertTrue(len(navbar.find_elements_by_link_text('Superlists')) > 0)
self.assertEqual(navbar.find_elements_by_link_text('应用'), [])
self.assertEqual(navbar.find_e... | BillPageTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BillPageTest:
def test_001(self):
"""未登录用户看不到 "应用" 菜单"""
<|body_0|>
def test_002(self):
"""进入账单页面，查看标题和表单"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.browser.get(self.live_server_url)
navbar = self.browser.find_element_by_id('id_nav... | stack_v2_sparse_classes_10k_train_000480 | 2,050 | no_license | [
{
"docstring": "未登录用户看不到 \"应用\" 菜单",
"name": "test_001",
"signature": "def test_001(self)"
},
{
"docstring": "进入账单页面，查看标题和表单",
"name": "test_002",
"signature": "def test_002(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005898 | Implement the Python class `BillPageTest` described below.
Class description:
Implement the BillPageTest class.
Method signatures and docstrings:
- def test_001(self): 未登录用户看不到 "应用" 菜单
- def test_002(self): 进入账单页面，查看标题和表单 | Implement the Python class `BillPageTest` described below.
Class description:
Implement the BillPageTest class.
Method signatures and docstrings:
- def test_001(self): 未登录用户看不到 "应用" 菜单
- def test_002(self): 进入账单页面，查看标题和表单
<|skeleton|>
class BillPageTest:
def test_001(self):
"""未登录用户看不到 "应用" 菜单"""
... | 973b3afb239db5f55cb52897e7a8a241a459349f | <|skeleton|>
class BillPageTest:
def test_001(self):
"""未登录用户看不到 "应用" 菜单"""
<|body_0|>
def test_002(self):
"""进入账单页面，查看标题和表单"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class BillPageTest:
def test_001(self):
"""未登录用户看不到 "应用" 菜单"""
self.browser.get(self.live_server_url)
navbar = self.browser.find_element_by_id('id_navigation')
self.assertTrue(len(navbar.find_elements_by_link_text('Superlists')) > 0)
self.assertEqual(navbar.find_elements_by_l... | the_stack_v2_python_sparse | functional_tests/test_bills/test_bill_page.py | aaluo001/superlists | train | 0 | |
0cb680548459736603a9c09d9f8286f44d899cdc | [
"if key in ['predict_proba', 'decision_function']:\n key = 'predict'\nreturn super().get_args(key=key, obj=obj, deepcopy_args=deepcopy_args)",
"def get_tag(obj, tag_name):\n if isclass(obj):\n return obj.get_class_tag(tag_name)\n else:\n return obj.get_tag(tag_name)\nregr_or_classf = (BaseC... | <|body_start_0|>
if key in ['predict_proba', 'decision_function']:
key = 'predict'
return super().get_args(key=key, obj=obj, deepcopy_args=deepcopy_args)
<|end_body_0|>
<|body_start_1|>
def get_tag(obj, tag_name):
if isclass(obj):
return obj.get_class_tag... | Generic test scenario for classifiers. | ClassifierTestScenario | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassifierTestScenario:
"""Generic test scenario for classifiers."""
def get_args(self, key, obj=None, deepcopy_args=True):
"""Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any side effects on self.args e.g., avoid assignments args[ke... | stack_v2_sparse_classes_10k_train_000481 | 7,126 | permissive | [
{
"docstring": "Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any side effects on self.args e.g., avoid assignments args[key] = x without deepcopying self.args first Parameters ---------- key : str, argument key to construct/retrieve args for obj : obj, optional... | 2 | null | Implement the Python class `ClassifierTestScenario` described below.
Class description:
Generic test scenario for classifiers.
Method signatures and docstrings:
- def get_args(self, key, obj=None, deepcopy_args=True): Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any ... | Implement the Python class `ClassifierTestScenario` described below.
Class description:
Generic test scenario for classifiers.
Method signatures and docstrings:
- def get_args(self, key, obj=None, deepcopy_args=True): Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any ... | 70b2bfaaa597eb31bc3a1032366dcc0e1f4c8a9f | <|skeleton|>
class ClassifierTestScenario:
"""Generic test scenario for classifiers."""
def get_args(self, key, obj=None, deepcopy_args=True):
"""Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any side effects on self.args e.g., avoid assignments args[ke... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ClassifierTestScenario:
"""Generic test scenario for classifiers."""
def get_args(self, key, obj=None, deepcopy_args=True):
"""Return args for key. Can be overridden for dynamic arg generation. If overridden, must not have any side effects on self.args e.g., avoid assignments args[key] = x withou... | the_stack_v2_python_sparse | sktime/utils/_testing/scenarios_classification.py | sktime/sktime | train | 1,117 |
f8028f9fbedd6475467cb4383864cfb7320cd2ec | [
"self._config = config\nself._config_entry = config_entry\nself.device_id = device_id\nself.discovery_data = discovery_data\nself.hass = hass\nself._sub_state: dict[str, EntitySubscription] | None = None\nself._value_template = MqttValueTemplate(config.get(CONF_VALUE_TEMPLATE), hass=self.hass).async_render_with_pos... | <|body_start_0|>
self._config = config
self._config_entry = config_entry
self.device_id = device_id
self.discovery_data = discovery_data
self.hass = hass
self._sub_state: dict[str, EntitySubscription] | None = None
self._value_template = MqttValueTemplate(config.g... | MQTT Tag scanner. | MQTTTagScanner | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MQTTTagScanner:
"""MQTT Tag scanner."""
def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None:
"""Initialize."""
<|body_0|>
async def async_update(self, discovery_data: MQT... | stack_v2_sparse_classes_10k_train_000482 | 5,499 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None"
},
{
"docstring": "Handle MQTT tag discovery updates.",
"name": "async_upd... | 4 | null | Implement the Python class `MQTTTagScanner` described below.
Class description:
MQTT Tag scanner.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None: Initialize.
- async def async_... | Implement the Python class `MQTTTagScanner` described below.
Class description:
MQTT Tag scanner.
Method signatures and docstrings:
- def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None: Initialize.
- async def async_... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class MQTTTagScanner:
"""MQTT Tag scanner."""
def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None:
"""Initialize."""
<|body_0|>
async def async_update(self, discovery_data: MQT... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MQTTTagScanner:
"""MQTT Tag scanner."""
def __init__(self, hass: HomeAssistant, config: ConfigType, device_id: str | None, discovery_data: DiscoveryInfoType, config_entry: ConfigEntry) -> None:
"""Initialize."""
self._config = config
self._config_entry = config_entry
self.... | the_stack_v2_python_sparse | homeassistant/components/mqtt/tag.py | home-assistant/core | train | 35,501 |
277dd2c2997935969ff24de53b6f84f65d796bd9 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Proto file describing the Ad service. Service to manage ads. | AdServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
<|body_0|>
def MutateAds(self, request, context):
"""Updates ads. Operation statuses are return... | stack_v2_sparse_classes_10k_train_000483 | 2,941 | permissive | [
{
"docstring": "Returns the requested ad in full detail.",
"name": "GetAd",
"signature": "def GetAd(self, request, context)"
},
{
"docstring": "Updates ads. Operation statuses are returned.",
"name": "MutateAds",
"signature": "def MutateAds(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000260 | Implement the Python class `AdServiceServicer` described below.
Class description:
Proto file describing the Ad service. Service to manage ads.
Method signatures and docstrings:
- def GetAd(self, request, context): Returns the requested ad in full detail.
- def MutateAds(self, request, context): Updates ads. Operatio... | Implement the Python class `AdServiceServicer` described below.
Class description:
Proto file describing the Ad service. Service to manage ads.
Method signatures and docstrings:
- def GetAd(self, request, context): Returns the requested ad in full detail.
- def MutateAds(self, request, context): Updates ads. Operatio... | a5b6cede64f4d9912ae6ad26927a54e40448c9fe | <|skeleton|>
class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
<|body_0|>
def MutateAds(self, request, context):
"""Updates ads. Operation statuses are return... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotI... | the_stack_v2_python_sparse | google/ads/google_ads/v3/proto/services/ad_service_pb2_grpc.py | fiboknacky/google-ads-python | train | 0 |
09819c575296574bf10ed2136dbc6862aa5f99c6 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn SynchronizationJobRestartCriteria()",
"from .synchronization_job_restart_scope import SynchronizationJobRestartScope\nfrom .synchronization_job_restart_scope import SynchronizationJobRestartScope\nfields: Dict[str, Callable[[Any], None... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return SynchronizationJobRestartCriteria()
<|end_body_0|>
<|body_start_1|>
from .synchronization_job_restart_scope import SynchronizationJobRestartScope
from .synchronization_job_restart_scope ... | SynchronizationJobRestartCriteria | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SynchronizationJobRestartCriteria:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SynchronizationJobRestartCriteria:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_10k_train_000484 | 3,964 | 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: SynchronizationJobRestartCriteria",
"name": "create_from_discriminator_value",
"signature": "def create_from... | 3 | null | Implement the Python class `SynchronizationJobRestartCriteria` described below.
Class description:
Implement the SynchronizationJobRestartCriteria class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SynchronizationJobRestartCriteria: Creates a new in... | Implement the Python class `SynchronizationJobRestartCriteria` described below.
Class description:
Implement the SynchronizationJobRestartCriteria class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SynchronizationJobRestartCriteria: Creates a new in... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class SynchronizationJobRestartCriteria:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SynchronizationJobRestartCriteria:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discrimin... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class SynchronizationJobRestartCriteria:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> SynchronizationJobRestartCriteria:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and... | the_stack_v2_python_sparse | msgraph/generated/models/synchronization_job_restart_criteria.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
897028f25efced9aedd4c5848e44158771dffe22 | [
"self.l = nums\nself.n = k\nself.last = -sys.maxsize - 1",
"k = self.n\nself.l.append(val)\n\ndef quickSelect(arr, k):\n big = []\n small = []\n piv = random.randint(0, len(arr) - 1)\n temp = arr[piv]\n for i, x in enumerate(arr):\n if i == piv:\n continue\n if x > temp:\n ... | <|body_start_0|>
self.l = nums
self.n = k
self.last = -sys.maxsize - 1
<|end_body_0|>
<|body_start_1|>
k = self.n
self.l.append(val)
def quickSelect(arr, k):
big = []
small = []
piv = random.randint(0, len(arr) - 1)
temp =... | 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.l = nums
self.n = k
self.last = -sys.... | stack_v2_sparse_classes_10k_train_000485 | 1,125 | 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_test_000240 | 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... | de8f9e7a7c45e325ac0de43a4e1f711a7c6a0a0c | <|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_10k | data/stack_v2_sparse_classes_30k | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.l = nums
self.n = k
self.last = -sys.maxsize - 1
def add(self, val):
""":type val: int :rtype: int"""
k = self.n
self.l.append(val)
def quickSelect(arr, ... | the_stack_v2_python_sparse | KthLargest.py | unsortedtosorted/codeChallenges | train | 0 | |
157dffc9b5668b4527b22df7076f75ed2d7d478b | [
"try:\n self.db = pymysql.connect(host=host, port=port, user=username, password=password)\n self.cursor = self.db.cursor()\nexcept pymysql.MySQLError as e:\n print(e.args)",
"keys = ', '.join(data.keys())\nvalues = ', '.join(['%s'] * len(data))\nsql_query = 'insert into {table} values {keys} {values}'.fo... | <|body_start_0|>
try:
self.db = pymysql.connect(host=host, port=port, user=username, password=password)
self.cursor = self.db.cursor()
except pymysql.MySQLError as e:
print(e.args)
<|end_body_0|>
<|body_start_1|>
keys = ', '.join(data.keys())
values =... | MySQL | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySQL:
def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE):
"""MySQL初始化 :param host: :param port: :param username: :param password: :param database:"""
<|body_0|>
def insert(self, table, data):
"... | stack_v2_sparse_classes_10k_train_000486 | 1,476 | no_license | [
{
"docstring": "MySQL初始化 :param host: :param port: :param username: :param password: :param database:",
"name": "__init__",
"signature": "def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE)"
},
{
"docstring": "插入数据 :param ta... | 2 | stack_v2_sparse_classes_30k_train_004704 | Implement the Python class `MySQL` described below.
Class description:
Implement the MySQL class.
Method signatures and docstrings:
- def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE): MySQL初始化 :param host: :param port: :param username: :param ... | Implement the Python class `MySQL` described below.
Class description:
Implement the MySQL class.
Method signatures and docstrings:
- def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE): MySQL初始化 :param host: :param port: :param username: :param ... | 916a3269cb3946f33bc87b289c5f20f26c265436 | <|skeleton|>
class MySQL:
def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE):
"""MySQL初始化 :param host: :param port: :param username: :param password: :param database:"""
<|body_0|>
def insert(self, table, data):
"... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MySQL:
def __init__(self, host=MYSQL_HOST, port=MYSQL_PORT, username=MYSQL_USER, password=MYSQL_PASSWORD, database=MYSQL_DATABASE):
"""MySQL初始化 :param host: :param port: :param username: :param password: :param database:"""
try:
self.db = pymysql.connect(host=host, port=port, user=... | the_stack_v2_python_sparse | Python3网络爬虫开发实战/chapter9/section5/mysql.py | daedalaus/practice | train | 0 | |
8cc3d2a0a40aab6a66ce02735a4793bc068c1808 | [
"if not callable(func):\n raise TypeError('func must be callable')\nwith suppress(TypeError):\n sig = inspect.signature(func)\n kinds = [x.kind for x in sig.parameters.values()]\n if len((x for x in kinds if x == sig.POSITIONAL_ONLY)) != 2 and sig.VAR_POSITIONAL not in kinds:\n raise ValueError('... | <|body_start_0|>
if not callable(func):
raise TypeError('func must be callable')
with suppress(TypeError):
sig = inspect.signature(func)
kinds = [x.kind for x in sig.parameters.values()]
if len((x for x in kinds if x == sig.POSITIONAL_ONLY)) != 2 and sig.V... | A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fromdata, *args, **kwargs)``. fromtype : class The coordinate frame class to start... | DataTransform | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataTransform:
"""A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fromdata, *args, **kwargs)``. fromtype : ... | stack_v2_sparse_classes_10k_train_000487 | 12,601 | permissive | [
{
"docstring": "Create a data transformer.",
"name": "__init__",
"signature": "def __init__(self, func: T.Callable, fromtype, totype, priority: int=1, register_graph=None, func_args: T.Optional[T.Sequence]=None, func_kwargs: T.Optional[T.Mapping]=None)"
},
{
"docstring": "Run transformation. Par... | 2 | stack_v2_sparse_classes_30k_train_006113 | Implement the Python class `DataTransform` described below.
Class description:
A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fr... | Implement the Python class `DataTransform` described below.
Class description:
A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fr... | 17984942145d31126724df23500bafba18fb7516 | <|skeleton|>
class DataTransform:
"""A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fromdata, *args, **kwargs)``. fromtype : ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DataTransform:
"""A transformation defined by a function. A transformation defined by a function that accepts a type and returns the transformed object. Parameters ---------- func : callable The transformation function. Should have a call signature ``func(fromdata, *args, **kwargs)``. fromtype : class The coo... | the_stack_v2_python_sparse | utilipy/data_utils/xfm/transformations.py | nstarman/utilipy | train | 2 |
2a56771e62894f6e7641f749f15d054604071868 | [
"maintenance_requests = request.env['maintenance.equipment'].sudo().search([])\nmaintenance_team = request.env['maintenance.team'].sudo().search([])\nuser = request.env.user.id\nemployee = request.env['hr.employee'].sudo().search([('user_id', '=', user)])\nrequest_dict = []\nteam_name = []\nfor record in maintenanc... | <|body_start_0|>
maintenance_requests = request.env['maintenance.equipment'].sudo().search([])
maintenance_team = request.env['maintenance.team'].sudo().search([])
user = request.env.user.id
employee = request.env['hr.employee'].sudo().search([('user_id', '=', user)])
request_dic... | MaintenanceRequest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
<|body_0|>
def send_request(self, **post):
"""Searches for related employee of the currently logged in user. The maintenance ... | stack_v2_sparse_classes_10k_train_000488 | 3,467 | no_license | [
{
"docstring": "Browses all maintenance teams and equipments in backend and returns them to the web page",
"name": "request",
"signature": "def request(self, **post)"
},
{
"docstring": "Searches for related employee of the currently logged in user. The maintenance request is only created if the ... | 2 | stack_v2_sparse_classes_30k_test_000104 | Implement the Python class `MaintenanceRequest` described below.
Class description:
Implement the MaintenanceRequest class.
Method signatures and docstrings:
- def request(self, **post): Browses all maintenance teams and equipments in backend and returns them to the web page
- def send_request(self, **post): Searches... | Implement the Python class `MaintenanceRequest` described below.
Class description:
Implement the MaintenanceRequest class.
Method signatures and docstrings:
- def request(self, **post): Browses all maintenance teams and equipments in backend and returns them to the web page
- def send_request(self, **post): Searches... | bb6453404e4f28060643f23c1c6311587f7d2925 | <|skeleton|>
class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
<|body_0|>
def send_request(self, **post):
"""Searches for related employee of the currently logged in user. The maintenance ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class MaintenanceRequest:
def request(self, **post):
"""Browses all maintenance teams and equipments in backend and returns them to the web page"""
maintenance_requests = request.env['maintenance.equipment'].sudo().search([])
maintenance_team = request.env['maintenance.team'].sudo().search([... | the_stack_v2_python_sparse | website_maintenance_hr/controllers/controllers.py | aaltinisik/CybroAddons | train | 1 | |
a970b507741bcd2b7bd2659887c6c90985b6b7c5 | [
"super(AlternatingCoattention, self).__init__()\nself.n_entities = 1 if weight_tying else 2\nwith self.init_scope():\n self.energy_layers_1 = chainer.ChainList(*[GraphLinear(hidden_dim + out_dim, head) for _ in range(self.n_entities)])\n self.energy_layers_2 = chainer.ChainList(*[GraphLinear(head, 1)])\n s... | <|body_start_0|>
super(AlternatingCoattention, self).__init__()
self.n_entities = 1 if weight_tying else 2
with self.init_scope():
self.energy_layers_1 = chainer.ChainList(*[GraphLinear(hidden_dim + out_dim, head) for _ in range(self.n_entities)])
self.energy_layers_2 = c... | AlternatingCoattention | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlternatingCoattention:
def __init__(self, hidden_dim, out_dim, head, weight_tying=False):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism :param weight_tying: indicate whethe... | stack_v2_sparse_classes_10k_train_000489 | 3,771 | permissive | [
{
"docstring": ":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism :param weight_tying: indicate whether the weights should be shared between two attention computation",
"name": "__init__",
"signat... | 3 | stack_v2_sparse_classes_30k_train_002124 | Implement the Python class `AlternatingCoattention` described below.
Class description:
Implement the AlternatingCoattention class.
Method signatures and docstrings:
- def __init__(self, hidden_dim, out_dim, head, weight_tying=False): :param hidden_dim: dimension of atom representation :param out_dim: dimension of mo... | Implement the Python class `AlternatingCoattention` described below.
Class description:
Implement the AlternatingCoattention class.
Method signatures and docstrings:
- def __init__(self, hidden_dim, out_dim, head, weight_tying=False): :param hidden_dim: dimension of atom representation :param out_dim: dimension of mo... | 21b64a3c8cc9bc33718ae09c65aa917e575132eb | <|skeleton|>
class AlternatingCoattention:
def __init__(self, hidden_dim, out_dim, head, weight_tying=False):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism :param weight_tying: indicate whethe... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class AlternatingCoattention:
def __init__(self, hidden_dim, out_dim, head, weight_tying=False):
""":param hidden_dim: dimension of atom representation :param out_dim: dimension of molecular representation :param head: number of heads in attention mechanism :param weight_tying: indicate whether the weights ... | the_stack_v2_python_sparse | models/coattention/alternating_coattention.py | Minys233/GCN-BMP | train | 1 | |
71831eecd77d756deea680897f41eca739677182 | [
"super(DjangoThread, self).__init__()\nself.options = {'host': 'localhost', 'port': 8888, 'threads': 10, 'request_queue_size': 15}\nself.options.update(**kwargs)\nself.setDaemon(True)",
"server = CherryPyWSGIServer((self.options['host'], int(self.options['port'])), WSGIPathInfoDispatcher({'/': WSGIHandler(), sett... | <|body_start_0|>
super(DjangoThread, self).__init__()
self.options = {'host': 'localhost', 'port': 8888, 'threads': 10, 'request_queue_size': 15}
self.options.update(**kwargs)
self.setDaemon(True)
<|end_body_0|>
<|body_start_1|>
server = CherryPyWSGIServer((self.options['host'],... | Django server control thread. | DjangoThread | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DjangoThread:
"""Django server control thread."""
def __init__(self, **kwargs):
"""Initialize CherryPy Django web server."""
<|body_0|>
def run(self):
"""Launch CherryPy Django web server."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(Dj... | stack_v2_sparse_classes_10k_train_000490 | 1,311 | permissive | [
{
"docstring": "Initialize CherryPy Django web server.",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Launch CherryPy Django web server.",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003439 | Implement the Python class `DjangoThread` described below.
Class description:
Django server control thread.
Method signatures and docstrings:
- def __init__(self, **kwargs): Initialize CherryPy Django web server.
- def run(self): Launch CherryPy Django web server. | Implement the Python class `DjangoThread` described below.
Class description:
Django server control thread.
Method signatures and docstrings:
- def __init__(self, **kwargs): Initialize CherryPy Django web server.
- def run(self): Launch CherryPy Django web server.
<|skeleton|>
class DjangoThread:
"""Django serve... | 7461d5eadc5fbaa0fa5a4121597bf9a7c20453a4 | <|skeleton|>
class DjangoThread:
"""Django server control thread."""
def __init__(self, **kwargs):
"""Initialize CherryPy Django web server."""
<|body_0|>
def run(self):
"""Launch CherryPy Django web server."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class DjangoThread:
"""Django server control thread."""
def __init__(self, **kwargs):
"""Initialize CherryPy Django web server."""
super(DjangoThread, self).__init__()
self.options = {'host': 'localhost', 'port': 8888, 'threads': 10, 'request_queue_size': 15}
self.options.update... | the_stack_v2_python_sparse | djangodevtools/wsgitest/djangoserver.py | adamhaney/djangodevtools | train | 0 |
85f596e6c859893db0d0019b8ffb20508bf7ef9e | [
"if isinstance(item, cls):\n return item\nif not type(item) in (str, int):\n raise TypeError(f'Source type ({type(item)}) for casting not handled.')\nfor i in list(cls):\n if i == item:\n return i\nif silent_fail:\n return None\nraise ValueError(f'`{cls.__qualname__}` casting failed. Item: {item}... | <|body_start_0|>
if isinstance(item, cls):
return item
if not type(item) in (str, int):
raise TypeError(f'Source type ({type(item)}) for casting not handled.')
for i in list(cls):
if i == item:
return i
if silent_fail:
retur... | Mixin for some extend enum functionality. | FlagEnumMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlagEnumMixin:
"""Mixin for some extend enum functionality."""
def cast(cls, item: Union[str, int], *, silent_fail=False):
"""Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:class:`str`) or ``name`` (:class:`int`). If ``silent_fail`` ... | stack_v2_sparse_classes_10k_train_000491 | 11,828 | permissive | [
{
"docstring": "Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:class:`str`) or ``name`` (:class:`int`). If ``silent_fail`` is ``True``, returns ``None`` if not found. Otherwise, raises :class:`ValueError`. :param item: item to be casted :param silent_fail: if t... | 2 | stack_v2_sparse_classes_30k_train_001352 | Implement the Python class `FlagEnumMixin` described below.
Class description:
Mixin for some extend enum functionality.
Method signatures and docstrings:
- def cast(cls, item: Union[str, int], *, silent_fail=False): Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:cla... | Implement the Python class `FlagEnumMixin` described below.
Class description:
Mixin for some extend enum functionality.
Method signatures and docstrings:
- def cast(cls, item: Union[str, int], *, silent_fail=False): Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:cla... | c7da1e91783dce3a2b71b955b3a22b68db9056cf | <|skeleton|>
class FlagEnumMixin:
"""Mixin for some extend enum functionality."""
def cast(cls, item: Union[str, int], *, silent_fail=False):
"""Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:class:`str`) or ``name`` (:class:`int`). If ``silent_fail`` ... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class FlagEnumMixin:
"""Mixin for some extend enum functionality."""
def cast(cls, item: Union[str, int], *, silent_fail=False):
"""Cast ``item`` to the corresponding :class:`FlagEnumMixin`. ``item`` can only be either ``code`` (:class:`str`) or ``name`` (:class:`int`). If ``silent_fail`` is ``True``, ... | the_stack_v2_python_sparse | extutils/flags/main.py | RxJellyBot/Jelly-Bot | train | 5 |
f36544964ab2a32eec870eed70a41fc7979871be | [
"super().parse_command_line(argv)\nself.build_kernel_argv(self.extra_args)\nself.filenames_to_run = self.extra_args[:]",
"self.log.debug('jupyter run: initialize...')\nsuper().initialize(argv)\nJupyterConsoleApp.initialize(self)\nsignal.signal(signal.SIGINT, self.handle_sigint)\nself.init_kernel_info()",
"if se... | <|body_start_0|>
super().parse_command_line(argv)
self.build_kernel_argv(self.extra_args)
self.filenames_to_run = self.extra_args[:]
<|end_body_0|>
<|body_start_1|>
self.log.debug('jupyter run: initialize...')
super().initialize(argv)
JupyterConsoleApp.initialize(self)
... | An Jupyter Console app to run files. | RunApp | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunApp:
"""An Jupyter Console app to run files."""
def parse_command_line(self, argv=None):
"""Parse the command line arguments."""
<|body_0|>
def initialize(self, argv=None):
"""Initialize the app."""
<|body_1|>
def handle_sigint(self, *args):
... | stack_v2_sparse_classes_10k_train_000492 | 4,496 | permissive | [
{
"docstring": "Parse the command line arguments.",
"name": "parse_command_line",
"signature": "def parse_command_line(self, argv=None)"
},
{
"docstring": "Initialize the app.",
"name": "initialize",
"signature": "def initialize(self, argv=None)"
},
{
"docstring": "Handle SIGINT.... | 5 | null | Implement the Python class `RunApp` described below.
Class description:
An Jupyter Console app to run files.
Method signatures and docstrings:
- def parse_command_line(self, argv=None): Parse the command line arguments.
- def initialize(self, argv=None): Initialize the app.
- def handle_sigint(self, *args): Handle SI... | Implement the Python class `RunApp` described below.
Class description:
An Jupyter Console app to run files.
Method signatures and docstrings:
- def parse_command_line(self, argv=None): Parse the command line arguments.
- def initialize(self, argv=None): Initialize the app.
- def handle_sigint(self, *args): Handle SI... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class RunApp:
"""An Jupyter Console app to run files."""
def parse_command_line(self, argv=None):
"""Parse the command line arguments."""
<|body_0|>
def initialize(self, argv=None):
"""Initialize the app."""
<|body_1|>
def handle_sigint(self, *args):
... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class RunApp:
"""An Jupyter Console app to run files."""
def parse_command_line(self, argv=None):
"""Parse the command line arguments."""
super().parse_command_line(argv)
self.build_kernel_argv(self.extra_args)
self.filenames_to_run = self.extra_args[:]
def initialize(self,... | the_stack_v2_python_sparse | contrib/python/jupyter-client/py3/jupyter_client/runapp.py | catboost/catboost | train | 8,012 |
11ef01f03025f4049d8a9c4b631680f48a632216 | [
"self.operands: List[Operand] = list(operands)\nfor i in range(len(self.operands)):\n self.operands[i] = Operand.validate_operand(self.operands[i])\nsuper().__init__()",
"incomplete_expression = False\nfor operand in self.operands:\n if not issubclass(type(operand), Operand):\n raise RuntimeError(f'O... | <|body_start_0|>
self.operands: List[Operand] = list(operands)
for i in range(len(self.operands)):
self.operands[i] = Operand.validate_operand(self.operands[i])
super().__init__()
<|end_body_0|>
<|body_start_1|>
incomplete_expression = False
for operand in self.opera... | And operator class for filtering JumpStart content. | And | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class And:
"""And operator class for filtering JumpStart content."""
def __init__(self, *operands: Union[Operand, str]) -> None:
"""Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the operands cannot be validated."""
<|body_0|>
d... | stack_v2_sparse_classes_10k_train_000493 | 16,623 | permissive | [
{
"docstring": "Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the operands cannot be validated.",
"name": "__init__",
"signature": "def __init__(self, *operands: Union[Operand, str]) -> None"
},
{
"docstring": "Evaluates operator. Raises: Runtime... | 3 | null | Implement the Python class `And` described below.
Class description:
And operator class for filtering JumpStart content.
Method signatures and docstrings:
- def __init__(self, *operands: Union[Operand, str]) -> None: Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the o... | Implement the Python class `And` described below.
Class description:
And operator class for filtering JumpStart content.
Method signatures and docstrings:
- def __init__(self, *operands: Union[Operand, str]) -> None: Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the o... | 8d5d7fd8ae1a917ed3e2b988d5e533bce244fd85 | <|skeleton|>
class And:
"""And operator class for filtering JumpStart content."""
def __init__(self, *operands: Union[Operand, str]) -> None:
"""Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the operands cannot be validated."""
<|body_0|>
d... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class And:
"""And operator class for filtering JumpStart content."""
def __init__(self, *operands: Union[Operand, str]) -> None:
"""Instantiates And object. Args: operand (Operand): Operand for And-ing. Raises: RuntimeError: If the operands cannot be validated."""
self.operands: List[Operand] =... | the_stack_v2_python_sparse | src/sagemaker/jumpstart/filters.py | aws/sagemaker-python-sdk | train | 2,050 |
03616a4e5e7c906570b129961e8c5d71c38bce50 | [
"self.created_at = created_at\nself.id = id\nself.is_nfs_interface = is_nfs_interface\nself.is_smb_interface = is_smb_interface\nself.name = name\nself.protocols = protocols\nself.used_bytes = used_bytes\nself.uuid = uuid",
"if dictionary is None:\n return None\ncreated_at = dictionary.get('createdAt')\nid = d... | <|body_start_0|>
self.created_at = created_at
self.id = id
self.is_nfs_interface = is_nfs_interface
self.is_smb_interface = is_smb_interface
self.name = name
self.protocols = protocols
self.used_bytes = used_bytes
self.uuid = uuid
<|end_body_0|>
<|body_st... | Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile Container in a Cluster. is_nfs_interface (bool): Specifies if the container has NFS vol... | ElastifileContainer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ElastifileContainer:
"""Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile Container in a Cluster. is_nfs_interface... | stack_v2_sparse_classes_10k_train_000494 | 3,291 | permissive | [
{
"docstring": "Constructor for the ElastifileContainer class",
"name": "__init__",
"signature": "def __init__(self, created_at=None, id=None, is_nfs_interface=None, is_smb_interface=None, name=None, protocols=None, used_bytes=None, uuid=None)"
},
{
"docstring": "Creates an instance of this mode... | 2 | null | Implement the Python class `ElastifileContainer` described below.
Class description:
Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile C... | Implement the Python class `ElastifileContainer` described below.
Class description:
Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile C... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ElastifileContainer:
"""Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile Container in a Cluster. is_nfs_interface... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ElastifileContainer:
"""Implementation of the 'ElastifileContainer' model. Specifies information about container in an Elastifile Cluster. Attributes: created_at (string): Specifies the creation date of the container. id (int): Specifies id of a Elastifile Container in a Cluster. is_nfs_interface (bool): Spec... | the_stack_v2_python_sparse | cohesity_management_sdk/models/elastifile_container.py | cohesity/management-sdk-python | train | 24 |
cb368d801f1cc91c9ca65f339cca370141865b41 | [
"self.path = path\nself.fileName = path + filename\nif not os.path.exists(self.path):\n os.makedirs(self.path)\nself.logger = logging.getLogger('PLANHEAT')\nself.logger.setLevel('DEBUG')\nself.filehandler = logging.FileHandler(self.fileName)\nself.filehandler.setLevel(logging_level)\nstreamformatter = logging.Fo... | <|body_start_0|>
self.path = path
self.fileName = path + filename
if not os.path.exists(self.path):
os.makedirs(self.path)
self.logger = logging.getLogger('PLANHEAT')
self.logger.setLevel('DEBUG')
self.filehandler = logging.FileHandler(self.fileName)
s... | Python Logger API Control level, formatting and output handlers for logger | Logger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logger:
"""Python Logger API Control level, formatting and output handlers for logger"""
def __init__(self, path, filename, logging_level):
"""logger Constructor :param path str:path of log file :param fileName str: name of log file :param fileName str: Control level"""
<|bod... | stack_v2_sparse_classes_10k_train_000495 | 3,218 | permissive | [
{
"docstring": "logger Constructor :param path str:path of log file :param fileName str: name of log file :param fileName str: Control level",
"name": "__init__",
"signature": "def __init__(self, path, filename, logging_level)"
},
{
"docstring": "Write Message in Log file :param level str: level... | 2 | stack_v2_sparse_classes_30k_train_006938 | Implement the Python class `Logger` described below.
Class description:
Python Logger API Control level, formatting and output handlers for logger
Method signatures and docstrings:
- def __init__(self, path, filename, logging_level): logger Constructor :param path str:path of log file :param fileName str: name of log... | Implement the Python class `Logger` described below.
Class description:
Python Logger API Control level, formatting and output handlers for logger
Method signatures and docstrings:
- def __init__(self, path, filename, logging_level): logger Constructor :param path str:path of log file :param fileName str: name of log... | 9764fcb86d3898b232c4cc333dab75ebe41cd421 | <|skeleton|>
class Logger:
"""Python Logger API Control level, formatting and output handlers for logger"""
def __init__(self, path, filename, logging_level):
"""logger Constructor :param path str:path of log file :param fileName str: name of log file :param fileName str: Control level"""
<|bod... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Logger:
"""Python Logger API Control level, formatting and output handlers for logger"""
def __init__(self, path, filename, logging_level):
"""logger Constructor :param path str:path of log file :param fileName str: name of log file :param fileName str: Control level"""
self.path = path
... | the_stack_v2_python_sparse | PlanheatMappingModule/PlanHeatDMM/manageLog/logger.py | Planheat/Planheat-Tool | train | 2 |
d3b5daa677faa8560d7471e25695676446ec9b57 | [
"super(ConvertVideoTask, self).__init__(*args, **kwargs)\nself.setOption('videoArgs', self.__defaultVideoArgs)\nself.setOption('audioArgs', self.__defaultAudioArgs)\nself.setOption('bitRate', self.__defaultBitRate)",
"videoArgs = self.option('videoArgs')\naudioArgs = self.option('audioArgs')\nbitRate = self.optio... | <|body_start_0|>
super(ConvertVideoTask, self).__init__(*args, **kwargs)
self.setOption('videoArgs', self.__defaultVideoArgs)
self.setOption('audioArgs', self.__defaultAudioArgs)
self.setOption('bitRate', self.__defaultBitRate)
<|end_body_0|>
<|body_start_1|>
videoArgs = self.op... | Convert a video using ffmpeg. | ConvertVideoTask | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvertVideoTask:
"""Convert a video using ffmpeg."""
def __init__(self, *args, **kwargs):
"""Create a convert video object."""
<|body_0|>
def _perform(self):
"""Perform the task."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(ConvertVide... | stack_v2_sparse_classes_10k_train_000496 | 2,356 | permissive | [
{
"docstring": "Create a convert video object.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Perform the task.",
"name": "_perform",
"signature": "def _perform(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001360 | Implement the Python class `ConvertVideoTask` described below.
Class description:
Convert a video using ffmpeg.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Create a convert video object.
- def _perform(self): Perform the task. | Implement the Python class `ConvertVideoTask` described below.
Class description:
Convert a video using ffmpeg.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Create a convert video object.
- def _perform(self): Perform the task.
<|skeleton|>
class ConvertVideoTask:
"""Convert a video u... | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | <|skeleton|>
class ConvertVideoTask:
"""Convert a video using ffmpeg."""
def __init__(self, *args, **kwargs):
"""Create a convert video object."""
<|body_0|>
def _perform(self):
"""Perform the task."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class ConvertVideoTask:
"""Convert a video using ffmpeg."""
def __init__(self, *args, **kwargs):
"""Create a convert video object."""
super(ConvertVideoTask, self).__init__(*args, **kwargs)
self.setOption('videoArgs', self.__defaultVideoArgs)
self.setOption('audioArgs', self.__d... | the_stack_v2_python_sparse | src/lib/kombi/Task/Video/ConvertVideoTask.py | kombiHQ/kombi | train | 2 |
300684ac6049b6a2d169ff9ef6be34d9a6e02535 | [
"def rserialize(root, res):\n if not root:\n res += 'None,'\n else:\n res += str(root.val) + ','\n res = rserialize(root.left, res)\n res = rserialize(root.right, res)\n return res\nreturn rserialize(root, '')",
"def rdeserialize(datalist):\n if datalist[0] == 'None':\n ... | <|body_start_0|>
def rserialize(root, res):
if not root:
res += 'None,'
else:
res += str(root.val) + ','
res = rserialize(root.left, res)
res = rserialize(root.right, res)
return res
return rserialize(roo... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_10k_train_000497 | 2,784 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 7a459e9742958e63be8886874904e5ab2489411a | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def rserialize(root, res):
if not root:
res += 'None,'
else:
res += str(root.val) + ','
res = rserialize(root.left... | the_stack_v2_python_sparse | Hard/297.py | Hellofafar/Leetcode | train | 6 | |
f89139c2774cece69f0e7269000d6edd245210ef | [
"tests = [((8, 8), 1, [(8, 8)]), ((8, 8), 2, [(8, 8), (4, 4)]), ((8, 8), 3, [(8, 8), (4, 4), (2, 2)]), ((8, 8), 4, [(8, 8), (4, 4), (2, 2), (1, 1)])]\nfor i, ((width, height), levels, want_layers) in enumerate(tests):\n image = Image()\n image.create(width, height)\n pyramid = Pyramid(image, levels)\n h... | <|body_start_0|>
tests = [((8, 8), 1, [(8, 8)]), ((8, 8), 2, [(8, 8), (4, 4)]), ((8, 8), 3, [(8, 8), (4, 4), (2, 2)]), ((8, 8), 4, [(8, 8), (4, 4), (2, 2), (1, 1)])]
for i, ((width, height), levels, want_layers) in enumerate(tests):
image = Image()
image.create(width, height)
... | Tests for the Pyramid class. | TestPyramid | [
"MIT",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestPyramid:
"""Tests for the Pyramid class."""
def test_init(self):
"""Tests the Pyramid.__init__() function."""
<|body_0|>
def test_reconstruct(self):
"""Tests the Pyramid.reconstruct() function."""
<|body_1|>
def test_items(self):
"""Tests... | stack_v2_sparse_classes_10k_train_000498 | 2,570 | permissive | [
{
"docstring": "Tests the Pyramid.__init__() function.",
"name": "test_init",
"signature": "def test_init(self)"
},
{
"docstring": "Tests the Pyramid.reconstruct() function.",
"name": "test_reconstruct",
"signature": "def test_reconstruct(self)"
},
{
"docstring": "Tests the Pyram... | 3 | stack_v2_sparse_classes_30k_train_000233 | Implement the Python class `TestPyramid` described below.
Class description:
Tests for the Pyramid class.
Method signatures and docstrings:
- def test_init(self): Tests the Pyramid.__init__() function.
- def test_reconstruct(self): Tests the Pyramid.reconstruct() function.
- def test_items(self): Tests the Pyramid.__... | Implement the Python class `TestPyramid` described below.
Class description:
Tests for the Pyramid class.
Method signatures and docstrings:
- def test_init(self): Tests the Pyramid.__init__() function.
- def test_reconstruct(self): Tests the Pyramid.reconstruct() function.
- def test_items(self): Tests the Pyramid.__... | 7e7282698befd53383cbd6566039340babb0a289 | <|skeleton|>
class TestPyramid:
"""Tests for the Pyramid class."""
def test_init(self):
"""Tests the Pyramid.__init__() function."""
<|body_0|>
def test_reconstruct(self):
"""Tests the Pyramid.reconstruct() function."""
<|body_1|>
def test_items(self):
"""Tests... | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class TestPyramid:
"""Tests for the Pyramid class."""
def test_init(self):
"""Tests the Pyramid.__init__() function."""
tests = [((8, 8), 1, [(8, 8)]), ((8, 8), 2, [(8, 8), (4, 4)]), ((8, 8), 3, [(8, 8), (4, 4), (2, 2)]), ((8, 8), 4, [(8, 8), (4, 4), (2, 2), (1, 1)])]
for i, ((width, he... | the_stack_v2_python_sparse | sandbox/image/pyramid_test.py | Mandrenkov/SVBRDF-Texture-Synthesis | train | 3 |
c8be236df4be6b86d3f4197a11adb8103d6b6f9a | [
"try:\n return Part.objects.create(**validated_data)\nexcept (IntegrityError, ValidationError):\n raise PartSameNameExistError",
"try:\n result = super().update(instance, validated_data)\n return result\nexcept (IntegrityError, ValidationError):\n raise PartSameNameExistError"
] | <|body_start_0|>
try:
return Part.objects.create(**validated_data)
except (IntegrityError, ValidationError):
raise PartSameNameExistError
<|end_body_0|>
<|body_start_1|>
try:
result = super().update(instance, validated_data)
return result
... | PartSerializer. | PartSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PartSerializer:
"""PartSerializer."""
def create(self, validated_data):
"""create. Args: validated_data:"""
<|body_0|>
def update(self, instance, validated_data):
"""update. Args: instance: validated_data:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_10k_train_000499 | 1,320 | permissive | [
{
"docstring": "create. Args: validated_data:",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "update. Args: instance: validated_data:",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_000956 | Implement the Python class `PartSerializer` described below.
Class description:
PartSerializer.
Method signatures and docstrings:
- def create(self, validated_data): create. Args: validated_data:
- def update(self, instance, validated_data): update. Args: instance: validated_data: | Implement the Python class `PartSerializer` described below.
Class description:
PartSerializer.
Method signatures and docstrings:
- def create(self, validated_data): create. Args: validated_data:
- def update(self, instance, validated_data): update. Args: instance: validated_data:
<|skeleton|>
class PartSerializer:
... | 1d2f42cbf9f21157c1e1abf044b26160dfed5b16 | <|skeleton|>
class PartSerializer:
"""PartSerializer."""
def create(self, validated_data):
"""create. Args: validated_data:"""
<|body_0|>
def update(self, instance, validated_data):
"""update. Args: instance: validated_data:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_10k | data/stack_v2_sparse_classes_30k | class PartSerializer:
"""PartSerializer."""
def create(self, validated_data):
"""create. Args: validated_data:"""
try:
return Part.objects.create(**validated_data)
except (IntegrityError, ValidationError):
raise PartSameNameExistError
def update(self, instan... | the_stack_v2_python_sparse | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/azure_parts/api/serializers.py | Azure-Samples/azure-intelligent-edge-patterns | train | 193 |
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