blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a52f91dbb9cda4724de7e2dd31d4382edaa3deba | [
"p0 = list1\np1 = list2\nh0 = ListNode(-1)\nh = h0\nwhile p0 != None and p1 != None:\n if p0.val < p1.val:\n h.next = p0\n p0 = p0.next\n else:\n h.next = p1\n p1 = p1.next\n h = h.next\nif p0 != None:\n h.next = p0\nif p1 != None:\n h.next = p1\nreturn h0.next",
"p0 = h... | <|body_start_0|>
p0 = list1
p1 = list2
h0 = ListNode(-1)
h = h0
while p0 != None and p1 != None:
if p0.val < p1.val:
h.next = p0
p0 = p0.next
else:
h.next = p1
p1 = p1.next
h = h.n... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def mergeKListsTwo(self, list1, list2):
"""使用归并的思想中的并处理"""
<|body_0|>
def midOfNode(self, head):
"""链表拆分成两半，返回后半部分"""
<|body_1|>
def sortList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_2|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_009000 | 1,544 | no_license | [
{
"docstring": "使用归并的思想中的并处理",
"name": "mergeKListsTwo",
"signature": "def mergeKListsTwo(self, list1, list2)"
},
{
"docstring": "链表拆分成两半，返回后半部分",
"name": "midOfNode",
"signature": "def midOfNode(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_012033 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKListsTwo(self, list1, list2): 使用归并的思想中的并处理
- def midOfNode(self, head): 链表拆分成两半，返回后半部分
- def sortList(self, head): :type head: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def mergeKListsTwo(self, list1, list2): 使用归并的思想中的并处理
- def midOfNode(self, head): 链表拆分成两半，返回后半部分
- def sortList(self, head): :type head: ListNode :rtype: ListNode
<|skeleton|>
c... | 4b30dd6a3f683c8dc71a85f7b947232613a28dc1 | <|skeleton|>
class Solution:
def mergeKListsTwo(self, list1, list2):
"""使用归并的思想中的并处理"""
<|body_0|>
def midOfNode(self, head):
"""链表拆分成两半，返回后半部分"""
<|body_1|>
def sortList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def mergeKListsTwo(self, list1, list2):
"""使用归并的思想中的并处理"""
p0 = list1
p1 = list2
h0 = ListNode(-1)
h = h0
while p0 != None and p1 != None:
if p0.val < p1.val:
h.next = p0
p0 = p0.next
else:
... | the_stack_v2_python_sparse | 链表排序_归并的方法.py | saintifly/leetcode | train | 0 | |
a17a9865b8223d0311da36e39f8dfc76193d3b8a | [
"self.first_name = first_name\nself.last_name = last_name\nself.address_boss = address_boss\nself.additional_properties = additional_properties\nsuper(BossCompany, self).__init__(address, cell_number, company_name, company)",
"if dictionary is None:\n return None\naddress = dictionary.get('address')\naddress_b... | <|body_start_0|>
self.first_name = first_name
self.last_name = last_name
self.address_boss = address_boss
self.additional_properties = additional_properties
super(BossCompany, self).__init__(address, cell_number, company_name, company)
<|end_body_0|>
<|body_start_1|>
if ... | Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_boss (string): TODO: type description here. | BossCompany | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BossCompany:
"""Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_boss (string): TODO: type description her... | stack_v2_sparse_classes_75kplus_train_009001 | 16,075 | permissive | [
{
"docstring": "Constructor for the BossCompany class",
"name": "__init__",
"signature": "def __init__(self, address=None, address_boss=None, cell_number=None, company_name=None, first_name=None, last_name=None, company=None, additional_properties={})"
},
{
"docstring": "Creates an instance of t... | 2 | null | Implement the Python class `BossCompany` described below.
Class description:
Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_bo... | Implement the Python class `BossCompany` described below.
Class description:
Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_bo... | 49acc3d416a1dde7ea43b178d070484baf1b7f2b | <|skeleton|>
class BossCompany:
"""Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_boss (string): TODO: type description her... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BossCompany:
"""Implementation of the 'Boss_company' model. TODO: type model description here. NOTE: This class inherits from 'Company'. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. address_boss (string): TODO: type description here."""
de... | the_stack_v2_python_sparse | PYTHON_GENERIC_LIB/tester/models/company.py | MaryamAdnan3/Tester1 | train | 0 |
bac7b7b23f10dcdd42adc1e2cd71e32dd23ca1e2 | [
"report = view.report\nform_name = ('%s%s%s' % (slugify(report.name).title(), slugify(view.name).title(), 'ViewAggregationForm')).encode('ascii')\nindicators = [(i.pk, i.name) for i in report.indicators.all()]\nindicators += [(0, 'None of them')]\ntry:\n aggregator = Aggregator.objects.get(view=view)\n initia... | <|body_start_0|>
report = view.report
form_name = ('%s%s%s' % (slugify(report.name).title(), slugify(view.name).title(), 'ViewAggregationForm')).encode('ascii')
indicators = [(i.pk, i.name) for i in report.indicators.all()]
indicators += [(0, 'None of them')]
try:
agg... | Factory to create ViewAggregationForms on the fly. | ViewAggregationForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ViewAggregationForm:
"""Factory to create ViewAggregationForms on the fly."""
def get_form(cls, view):
"""List all indicators in the view and make a choice list with it"""
<|body_0|>
def __new__(cls, *args, **kwargs):
"""Create the proper form according to the vi... | stack_v2_sparse_classes_75kplus_train_009002 | 5,190 | no_license | [
{
"docstring": "List all indicators in the view and make a choice list with it",
"name": "get_form",
"signature": "def get_form(cls, view)"
},
{
"docstring": "Create the proper form according to the view then instanciate the form with the proper args",
"name": "__new__",
"signature": "de... | 2 | stack_v2_sparse_classes_30k_train_033415 | Implement the Python class `ViewAggregationForm` described below.
Class description:
Factory to create ViewAggregationForms on the fly.
Method signatures and docstrings:
- def get_form(cls, view): List all indicators in the view and make a choice list with it
- def __new__(cls, *args, **kwargs): Create the proper for... | Implement the Python class `ViewAggregationForm` described below.
Class description:
Factory to create ViewAggregationForms on the fly.
Method signatures and docstrings:
- def get_form(cls, view): List all indicators in the view and make a choice list with it
- def __new__(cls, *args, **kwargs): Create the proper for... | 15a4500ccb039e2d7e19dee2b0c5ce755e29da70 | <|skeleton|>
class ViewAggregationForm:
"""Factory to create ViewAggregationForms on the fly."""
def get_form(cls, view):
"""List all indicators in the view and make a choice list with it"""
<|body_0|>
def __new__(cls, *args, **kwargs):
"""Create the proper form according to the vi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ViewAggregationForm:
"""Factory to create ViewAggregationForms on the fly."""
def get_form(cls, view):
"""List all indicators in the view and make a choice list with it"""
report = view.report
form_name = ('%s%s%s' % (slugify(report.name).title(), slugify(view.name).title(), 'View... | the_stack_v2_python_sparse | django_mangrove/generic_report_admin/forms/_view_forms.py | joelimome/Mangrove | train | 0 |
cc903b4de5c0c5ca45155821f9a66a5d8444a7ff | [
"buffer = bytearray()\nscratch = 0\nscratch_bits = 0\nfor index, data in enumerate(packet._raw):\n field = packet.FIELDS[index]\n bits_remaining = field.size\n while True:\n bits_used = min(8 - scratch_bits, bits_remaining)\n data_to_copy = data >> bits_remaining - bits_used\n bits_rem... | <|body_start_0|>
buffer = bytearray()
scratch = 0
scratch_bits = 0
for index, data in enumerate(packet._raw):
field = packet.FIELDS[index]
bits_remaining = field.size
while True:
bits_used = min(8 - scratch_bits, bits_remaining)
... | A class that serializes and deserializes packets to/from arrays of bytes. | PacketTranslator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PacketTranslator:
"""A class that serializes and deserializes packets to/from arrays of bytes."""
def serialize(self, packet):
"""Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The serialized bytes."""
<|body_0|>
def deserial... | stack_v2_sparse_classes_75kplus_train_009003 | 2,931 | no_license | [
{
"docstring": "Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The serialized bytes.",
"name": "serialize",
"signature": "def serialize(self, packet)"
},
{
"docstring": "Deserializes a packet from an array of bytes. :param packet: The class of the pa... | 2 | stack_v2_sparse_classes_30k_train_014419 | Implement the Python class `PacketTranslator` described below.
Class description:
A class that serializes and deserializes packets to/from arrays of bytes.
Method signatures and docstrings:
- def serialize(self, packet): Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The ... | Implement the Python class `PacketTranslator` described below.
Class description:
A class that serializes and deserializes packets to/from arrays of bytes.
Method signatures and docstrings:
- def serialize(self, packet): Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The ... | 3490cf8bc89fd2c76f6fbafeec07134c28ae4d13 | <|skeleton|>
class PacketTranslator:
"""A class that serializes and deserializes packets to/from arrays of bytes."""
def serialize(self, packet):
"""Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The serialized bytes."""
<|body_0|>
def deserial... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PacketTranslator:
"""A class that serializes and deserializes packets to/from arrays of bytes."""
def serialize(self, packet):
"""Serializes a packet into an array of bytes. :param packet: The packet to serialize. :return: The serialized bytes."""
buffer = bytearray()
scratch = 0
... | the_stack_v2_python_sparse | common/packet.py | johndoknjas/Socket-Programming | train | 0 |
d04950f9f010ad8b58cdea82af53bf9314aea11b | [
"self.language = language\nif language == 'en':\n f_pop = open(os.path.join(data_path, 'Eng_Pop.txt'))\n f_scarce = open(os.path.join(data_path, 'Eng_Scarce.txt'))\nelse:\n f_pop = open(os.path.join(data_path, 'Esp_Pop.txt'))\n f_scarce = open(os.path.join(data_path, 'Esp_Scarce.txt'))\nself.populous_ci... | <|body_start_0|>
self.language = language
if language == 'en':
f_pop = open(os.path.join(data_path, 'Eng_Pop.txt'))
f_scarce = open(os.path.join(data_path, 'Eng_Scarce.txt'))
else:
f_pop = open(os.path.join(data_path, 'Esp_Pop.txt'))
f_scarce = ope... | ChangeCityNames | [
"MIT",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChangeCityNames:
def __init__(self, data_path, language='en'):
"""Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous cities and sacrcely populous cities. language : str, optional language you are testing on. The default is "e... | stack_v2_sparse_classes_75kplus_train_009004 | 8,923 | permissive | [
{
"docstring": "Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous cities and sacrcely populous cities. language : str, optional language you are testing on. The default is \"en\". Returns ------- None.",
"name": "__init__",
"signature": "de... | 4 | stack_v2_sparse_classes_30k_train_024701 | Implement the Python class `ChangeCityNames` described below.
Class description:
Implement the ChangeCityNames class.
Method signatures and docstrings:
- def __init__(self, data_path, language='en'): Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous citi... | Implement the Python class `ChangeCityNames` described below.
Class description:
Implement the ChangeCityNames class.
Method signatures and docstrings:
- def __init__(self, data_path, language='en'): Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous citi... | 619bc081fa506778526a1963d19a697367f1d553 | <|skeleton|>
class ChangeCityNames:
def __init__(self, data_path, language='en'):
"""Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous cities and sacrcely populous cities. language : str, optional language you are testing on. The default is "e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChangeCityNames:
def __init__(self, data_path, language='en'):
"""Constructor for ChangeCityNames object. Parameters ---------- data_path : str path to the .csv file with populous cities and sacrcely populous cities. language : str, optional language you are testing on. The default is "en". Returns --... | the_stack_v2_python_sparse | transformations/city_names_transformation/transformation.py | dyrson11/NL-Augmenter | train | 1 | |
474e4dabbd2ade85f1a861cf7352dc5e4f04ce6c | [
"n = len(nums)\n\n@lru_cache(None)\ndef helper(i):\n \"\"\"True if we can arrive last when we start at i\"\"\"\n if i == n - 1:\n return True\n if i < 0 or i >= n:\n return False\n for j in range(1, nums[i] + 1):\n if helper(i + j):\n return True\n return False\nreturn... | <|body_start_0|>
n = len(nums)
@lru_cache(None)
def helper(i):
"""True if we can arrive last when we start at i"""
if i == n - 1:
return True
if i < 0 or i >= n:
return False
for j in range(1, nums[i] + 1):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canJump(self, nums: List[int]) -> bool:
"""Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE"""
<|body_0|>
def canJump(self, nums: List[int]) -> bool:
"""Down-Top DP, Time: O(n^2), Space: O(n), TLE"""
<|body_1|>
def canJump(self, nu... | stack_v2_sparse_classes_75kplus_train_009005 | 1,569 | no_license | [
{
"docstring": "Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE",
"name": "canJump",
"signature": "def canJump(self, nums: List[int]) -> bool"
},
{
"docstring": "Down-Top DP, Time: O(n^2), Space: O(n), TLE",
"name": "canJump",
"signature": "def canJump(self, nums: List[int]) ->... | 3 | stack_v2_sparse_classes_30k_train_002036 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump(self, nums: List[int]) -> bool: Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE
- def canJump(self, nums: List[int]) -> bool: Down-Top DP, Time: O(n^2), Spa... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canJump(self, nums: List[int]) -> bool: Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE
- def canJump(self, nums: List[int]) -> bool: Down-Top DP, Time: O(n^2), Spa... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def canJump(self, nums: List[int]) -> bool:
"""Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE"""
<|body_0|>
def canJump(self, nums: List[int]) -> bool:
"""Down-Top DP, Time: O(n^2), Space: O(n), TLE"""
<|body_1|>
def canJump(self, nu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def canJump(self, nums: List[int]) -> bool:
"""Top-Down with Memoization, Time: O(n^2), Space: O(n), TLE"""
n = len(nums)
@lru_cache(None)
def helper(i):
"""True if we can arrive last when we start at i"""
if i == n - 1:
return... | the_stack_v2_python_sparse | python/55-Jump Game.py | cwza/leetcode | train | 0 | |
afb3697be51a32a0b11bab897b51869c963d89c6 | [
"super(SimpleTrainingRegimen, self).__init__(yaml_context=yaml_context, corpus_parser=corpus_parser, model=model, glob=glob, dev_every=dev_every, batcher=batcher, loss_calculator=loss_calculator, pretrained_model_file=pretrained_model_file, src_format=src_format, run_for_epochs=run_for_epochs, lr_decay=lr_decay, lr... | <|body_start_0|>
super(SimpleTrainingRegimen, self).__init__(yaml_context=yaml_context, corpus_parser=corpus_parser, model=model, glob=glob, dev_every=dev_every, batcher=batcher, loss_calculator=loss_calculator, pretrained_model_file=pretrained_model_file, src_format=src_format, run_for_epochs=run_for_epochs, l... | SimpleTrainingRegimen | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SimpleTrainingRegimen:
def __init__(self, yaml_context, corpus_parser, model, glob={}, dev_every=0, batcher=None, loss_calculator=None, pretrained_model_file='', src_format='text', trainer=None, run_for_epochs=None, lr_decay=1.0, lr_decay_times=3, patience=1, initial_patience=None, dev_metrics='... | stack_v2_sparse_classes_75kplus_train_009006 | 14,373 | permissive | [
{
"docstring": ":param yaml_context: :param corpus_parser: an input.InputReader object :param model: a generator.GeneratorModel object :param dev_every (int): dev checkpoints every n sentences (0 for only after epoch) :param batcher: Type of batcher. Defaults to SrcBatcher of batch size 32. :param loss_calculat... | 2 | stack_v2_sparse_classes_30k_train_012278 | Implement the Python class `SimpleTrainingRegimen` described below.
Class description:
Implement the SimpleTrainingRegimen class.
Method signatures and docstrings:
- def __init__(self, yaml_context, corpus_parser, model, glob={}, dev_every=0, batcher=None, loss_calculator=None, pretrained_model_file='', src_format='t... | Implement the Python class `SimpleTrainingRegimen` described below.
Class description:
Implement the SimpleTrainingRegimen class.
Method signatures and docstrings:
- def __init__(self, yaml_context, corpus_parser, model, glob={}, dev_every=0, batcher=None, loss_calculator=None, pretrained_model_file='', src_format='t... | 742693eb9005a8a10a7137a379722553c4c19fe8 | <|skeleton|>
class SimpleTrainingRegimen:
def __init__(self, yaml_context, corpus_parser, model, glob={}, dev_every=0, batcher=None, loss_calculator=None, pretrained_model_file='', src_format='text', trainer=None, run_for_epochs=None, lr_decay=1.0, lr_decay_times=3, patience=1, initial_patience=None, dev_metrics='... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SimpleTrainingRegimen:
def __init__(self, yaml_context, corpus_parser, model, glob={}, dev_every=0, batcher=None, loss_calculator=None, pretrained_model_file='', src_format='text', trainer=None, run_for_epochs=None, lr_decay=1.0, lr_decay_times=3, patience=1, initial_patience=None, dev_metrics='', schedule_me... | the_stack_v2_python_sparse | xnmt/training_regimen.py | john-hewitt/xnmt | train | 0 | |
325d78029ccca9948bbf2acd77fb356210f38035 | [
"if len(args[1]) != 2:\n if len(args[1]) > 2:\n flash('Please select only 2 snapshots to view diffs')\n else:\n flash('Please select 2 snapshots to view diffs')\nelse:\n session['diff_files'] = args[1]\n return redirect(url_for('diffview.index'))",
"for arg in args[1]:\n obj = Snapsho... | <|body_start_0|>
if len(args[1]) != 2:
if len(args[1]) > 2:
flash('Please select only 2 snapshots to view diffs')
else:
flash('Please select 2 snapshots to view diffs')
else:
session['diff_files'] = args[1]
return redirect(u... | Snapshot view | SnapshotsAdmin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SnapshotsAdmin:
"""Snapshot view"""
def view_diffs(*args, **kwargs):
"""View the snapshot diffs"""
<|body_0|>
def view(*args, **kwargs):
"""View the snapshot"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if len(args[1]) != 2:
if le... | stack_v2_sparse_classes_75kplus_train_009007 | 39,773 | permissive | [
{
"docstring": "View the snapshot diffs",
"name": "view_diffs",
"signature": "def view_diffs(*args, **kwargs)"
},
{
"docstring": "View the snapshot",
"name": "view",
"signature": "def view(*args, **kwargs)"
}
] | 2 | null | Implement the Python class `SnapshotsAdmin` described below.
Class description:
Snapshot view
Method signatures and docstrings:
- def view_diffs(*args, **kwargs): View the snapshot diffs
- def view(*args, **kwargs): View the snapshot | Implement the Python class `SnapshotsAdmin` described below.
Class description:
Snapshot view
Method signatures and docstrings:
- def view_diffs(*args, **kwargs): View the snapshot diffs
- def view(*args, **kwargs): View the snapshot
<|skeleton|>
class SnapshotsAdmin:
"""Snapshot view"""
def view_diffs(*arg... | 629b84887dd0f0183b81efc8adb16817f985541a | <|skeleton|>
class SnapshotsAdmin:
"""Snapshot view"""
def view_diffs(*args, **kwargs):
"""View the snapshot diffs"""
<|body_0|>
def view(*args, **kwargs):
"""View the snapshot"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SnapshotsAdmin:
"""Snapshot view"""
def view_diffs(*args, **kwargs):
"""View the snapshot diffs"""
if len(args[1]) != 2:
if len(args[1]) > 2:
flash('Please select only 2 snapshots to view diffs')
else:
flash('Please select 2 snapshot... | the_stack_v2_python_sparse | applications/snapback/snapback.py | mrlesmithjr/acitoolkit | train | 0 |
906a3b1da3d63be7b42cb78d9732d7d71f090419 | [
"ret = []\nlevel_list = deque()\nif root is None:\n return []\nnode_queue = deque([root, None])\nis_order_left = True\nwhile len(node_queue) > 0:\n curr_node = node_queue.popleft()\n if curr_node:\n if is_order_left:\n level_list.append(curr_node.val)\n else:\n level_lis... | <|body_start_0|>
ret = []
level_list = deque()
if root is None:
return []
node_queue = deque([root, None])
is_order_left = True
while len(node_queue) > 0:
curr_node = node_queue.popleft()
if curr_node:
if is_order_left:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def zigzagLevelOrder(self, root: TreeNode):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def zigzagLevelOrderDFS(self, root: TreeNode):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_75kplus_train_009008 | 2,368 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "zigzagLevelOrder",
"signature": "def zigzagLevelOrder(self, root: TreeNode)"
},
{
"docstring": ":type root: TreeNode :rtype: List[List[int]]",
"name": "zigzagLevelOrderDFS",
"signature": "def zigzagLevelOrderDFS(self... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def zigzagLevelOrder(self, root: TreeNode): :type root: TreeNode :rtype: List[List[int]]
- def zigzagLevelOrderDFS(self, root: TreeNode): :type root: TreeNode :rtype: List[List[i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def zigzagLevelOrder(self, root: TreeNode): :type root: TreeNode :rtype: List[List[int]]
- def zigzagLevelOrderDFS(self, root: TreeNode): :type root: TreeNode :rtype: List[List[i... | 3f3aa0cc869d7edf349691ecf1e057fd4aad2ab1 | <|skeleton|>
class Solution:
def zigzagLevelOrder(self, root: TreeNode):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_0|>
def zigzagLevelOrderDFS(self, root: TreeNode):
""":type root: TreeNode :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def zigzagLevelOrder(self, root: TreeNode):
""":type root: TreeNode :rtype: List[List[int]]"""
ret = []
level_list = deque()
if root is None:
return []
node_queue = deque([root, None])
is_order_left = True
while len(node_queue) > 0:... | the_stack_v2_python_sparse | LeetCode_Python/LeetCode103.py | GDUT-Rp/LeetCode | train | 2 | |
1b3b8aef461926e771e8748320838a3fa9e19765 | [
"class MixinCls(APICallMixin, SettingsMixin, InvenTreePlugin):\n NAME = 'Sample API Caller'\n SETTINGS = {'API_TOKEN': {'name': 'API Token', 'protected': True}, 'API_URL': {'name': 'External URL', 'description': 'Where is your API located?', 'default': 'https://api.github.com'}}\n API_URL_SETTING = 'API_UR... | <|body_start_0|>
class MixinCls(APICallMixin, SettingsMixin, InvenTreePlugin):
NAME = 'Sample API Caller'
SETTINGS = {'API_TOKEN': {'name': 'API Token', 'protected': True}, 'API_URL': {'name': 'External URL', 'description': 'Where is your API located?', 'default': 'https://api.github.com... | Tests for APICallMixin. | APICallMixinTest | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class APICallMixinTest:
"""Tests for APICallMixin."""
def setUp(self):
"""Setup for all tests."""
<|body_0|>
def test_base_setup(self):
"""Test that the base settings work."""
<|body_1|>
def test_args(self):
"""Test that building up args work."""
... | stack_v2_sparse_classes_75kplus_train_009009 | 14,946 | permissive | [
{
"docstring": "Setup for all tests.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test that the base settings work.",
"name": "test_base_setup",
"signature": "def test_base_setup(self)"
},
{
"docstring": "Test that building up args work.",
"name": "tes... | 5 | stack_v2_sparse_classes_30k_train_053394 | Implement the Python class `APICallMixinTest` described below.
Class description:
Tests for APICallMixin.
Method signatures and docstrings:
- def setUp(self): Setup for all tests.
- def test_base_setup(self): Test that the base settings work.
- def test_args(self): Test that building up args work.
- def test_api_call... | Implement the Python class `APICallMixinTest` described below.
Class description:
Tests for APICallMixin.
Method signatures and docstrings:
- def setUp(self): Setup for all tests.
- def test_base_setup(self): Test that the base settings work.
- def test_args(self): Test that building up args work.
- def test_api_call... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class APICallMixinTest:
"""Tests for APICallMixin."""
def setUp(self):
"""Setup for all tests."""
<|body_0|>
def test_base_setup(self):
"""Test that the base settings work."""
<|body_1|>
def test_args(self):
"""Test that building up args work."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class APICallMixinTest:
"""Tests for APICallMixin."""
def setUp(self):
"""Setup for all tests."""
class MixinCls(APICallMixin, SettingsMixin, InvenTreePlugin):
NAME = 'Sample API Caller'
SETTINGS = {'API_TOKEN': {'name': 'API Token', 'protected': True}, 'API_URL': {'name... | the_stack_v2_python_sparse | InvenTree/plugin/base/integration/test_mixins.py | inventree/InvenTree | train | 3,077 |
635c5bee25dbb5c2f14c3e1cb6c16f805c9dc727 | [
"Company = self.old_state.apps.get_model('company', 'company')\ncustomer = Company.objects.create(name='My customer', description='A customer we sell stuff too', is_customer=True)\nSalesOrder = self.old_state.apps.get_model('order', 'salesorder')\nfor ii in range(5):\n order = SalesOrder.objects.create(reference... | <|body_start_0|>
Company = self.old_state.apps.get_model('company', 'company')
customer = Company.objects.create(name='My customer', description='A customer we sell stuff too', is_customer=True)
SalesOrder = self.old_state.apps.get_model('order', 'salesorder')
for ii in range(5):
... | Test data migration for the "SalesOrderShipment" model. | TestShipmentMigration | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestShipmentMigration:
"""Test data migration for the "SalesOrderShipment" model."""
def prepare(self):
"""Create an initial SalesOrder."""
<|body_0|>
def test_shipment_creation(self):
"""Check that a SalesOrderShipment has been created."""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus_train_009010 | 7,688 | permissive | [
{
"docstring": "Create an initial SalesOrder.",
"name": "prepare",
"signature": "def prepare(self)"
},
{
"docstring": "Check that a SalesOrderShipment has been created.",
"name": "test_shipment_creation",
"signature": "def test_shipment_creation(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003979 | Implement the Python class `TestShipmentMigration` described below.
Class description:
Test data migration for the "SalesOrderShipment" model.
Method signatures and docstrings:
- def prepare(self): Create an initial SalesOrder.
- def test_shipment_creation(self): Check that a SalesOrderShipment has been created. | Implement the Python class `TestShipmentMigration` described below.
Class description:
Test data migration for the "SalesOrderShipment" model.
Method signatures and docstrings:
- def prepare(self): Create an initial SalesOrder.
- def test_shipment_creation(self): Check that a SalesOrderShipment has been created.
<|s... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class TestShipmentMigration:
"""Test data migration for the "SalesOrderShipment" model."""
def prepare(self):
"""Create an initial SalesOrder."""
<|body_0|>
def test_shipment_creation(self):
"""Check that a SalesOrderShipment has been created."""
<|body_1|>
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestShipmentMigration:
"""Test data migration for the "SalesOrderShipment" model."""
def prepare(self):
"""Create an initial SalesOrder."""
Company = self.old_state.apps.get_model('company', 'company')
customer = Company.objects.create(name='My customer', description='A customer w... | the_stack_v2_python_sparse | InvenTree/order/test_migrations.py | inventree/InvenTree | train | 3,077 |
b1dacffb0a10737c86f37d2d882f990282d604d1 | [
"if not head:\n return []\nwhile head:\n if head.val == val:\n if head.next:\n head.val = head.next.val\n head.next = head.next.next\n else:\n return []\n else:\n break\nif not head:\n return []\nroot = head\npre = root\nhead = pre.next\nwhile head:\... | <|body_start_0|>
if not head:
return []
while head:
if head.val == val:
if head.next:
head.val = head.next.val
head.next = head.next.next
else:
return []
else:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def removeElements1(self, head: ListNode, val: int):
"""删除链表中等于给定值val的所有节点"""
<|body_0|>
def removeElements(self, head: ListNode, val: int):
"""删除链表中等于给定值val的所有节点"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head:
ret... | stack_v2_sparse_classes_75kplus_train_009011 | 1,661 | no_license | [
{
"docstring": "删除链表中等于给定值val的所有节点",
"name": "removeElements1",
"signature": "def removeElements1(self, head: ListNode, val: int)"
},
{
"docstring": "删除链表中等于给定值val的所有节点",
"name": "removeElements",
"signature": "def removeElements(self, head: ListNode, val: int)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElements1(self, head: ListNode, val: int): 删除链表中等于给定值val的所有节点
- def removeElements(self, head: ListNode, val: int): 删除链表中等于给定值val的所有节点 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def removeElements1(self, head: ListNode, val: int): 删除链表中等于给定值val的所有节点
- def removeElements(self, head: ListNode, val: int): 删除链表中等于给定值val的所有节点
<|skeleton|>
class Solution:
... | 2b9c78ba88e7bf74a46a287fb1914b4d6ba9af38 | <|skeleton|>
class Solution:
def removeElements1(self, head: ListNode, val: int):
"""删除链表中等于给定值val的所有节点"""
<|body_0|>
def removeElements(self, head: ListNode, val: int):
"""删除链表中等于给定值val的所有节点"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def removeElements1(self, head: ListNode, val: int):
"""删除链表中等于给定值val的所有节点"""
if not head:
return []
while head:
if head.val == val:
if head.next:
head.val = head.next.val
head.next = head.next.ne... | the_stack_v2_python_sparse | 移除链表元素.py | Luckyaxah/leetcode-python | train | 0 | |
9805039ed80b415f06348d2180c36158d26ca0d2 | [
"self.BERT_score_transform = BERT_Score_Transform(checkpoint_path, **kwargs)\nself.doc_resolver_transform = Document_Resolver_Transform(get_doc_fn)\nself.q_d_merge_transform = Query_Doc_Merge_Transform()\nself.BERT_numericalize_transform = BERT_Numericalise_Transform()\nself.key_fields = key_fields",
"for sample_... | <|body_start_0|>
self.BERT_score_transform = BERT_Score_Transform(checkpoint_path, **kwargs)
self.doc_resolver_transform = Document_Resolver_Transform(get_doc_fn)
self.q_d_merge_transform = Query_Doc_Merge_Transform()
self.BERT_numericalize_transform = BERT_Numericalise_Transform()
... | BERT_ReRanker_Transform | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BERT_ReRanker_Transform:
def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field': 'search_results'}, **kwargs):
"""A Transform that reorders a list based on BERT query doc score checkpoint_path: str: path to only the state dict of the model, loa... | stack_v2_sparse_classes_75kplus_train_009012 | 24,876 | no_license | [
{
"docstring": "A Transform that reorders a list based on BERT query doc score checkpoint_path: str: path to only the state dict of the model, loaded with load_state_dict",
"name": "__init__",
"signature": "def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field... | 2 | stack_v2_sparse_classes_30k_train_039019 | Implement the Python class `BERT_ReRanker_Transform` described below.
Class description:
Implement the BERT_ReRanker_Transform class.
Method signatures and docstrings:
- def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field': 'search_results'}, **kwargs): A Transform that r... | Implement the Python class `BERT_ReRanker_Transform` described below.
Class description:
Implement the BERT_ReRanker_Transform class.
Method signatures and docstrings:
- def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field': 'search_results'}, **kwargs): A Transform that r... | 92dd4d41ad6f2be5b5c4e296e2a355bb14b9a1db | <|skeleton|>
class BERT_ReRanker_Transform:
def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field': 'search_results'}, **kwargs):
"""A Transform that reorders a list based on BERT query doc score checkpoint_path: str: path to only the state dict of the model, loa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BERT_ReRanker_Transform:
def __init__(self, checkpoint_path, get_doc_fn, key_fields={'query_field': 'query', 'target_field': 'search_results'}, **kwargs):
"""A Transform that reorders a list based on BERT query doc score checkpoint_path: str: path to only the state dict of the model, loaded with load_... | the_stack_v2_python_sparse | notebooks/src/models_and_transforms/complex_transforms.py | carlos-gemmell/Glasgow-NLP | train | 0 | |
2614d1e11447753a478c4dbb944e624569250c78 | [
"if not self.spectral_normalization:\n return partial(tf.keras.layers.Conv2D, kernel_size=(k, k), strides=(s, s), padding='SAME', activation=tf.nn.leaky_relu)\nelse:\n\n def conv_spectral_norm(net, filters, layer):\n in_channels = net.get_shape()[-1]\n weights = tf.get_variable('kernel/{}'.forma... | <|body_start_0|>
if not self.spectral_normalization:
return partial(tf.keras.layers.Conv2D, kernel_size=(k, k), strides=(s, s), padding='SAME', activation=tf.nn.leaky_relu)
else:
def conv_spectral_norm(net, filters, layer):
in_channels = net.get_shape()[-1]
... | DCGAN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DCGAN:
def get_conv(self, k=5, s=2, channels=1):
"""Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (uses same size for both dimensions by default). :param channels: number of channels (should alwa... | stack_v2_sparse_classes_75kplus_train_009013 | 5,910 | no_license | [
{
"docstring": "Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (uses same size for both dimensions by default). :param channels: number of channels (should always be 1). :return: a callable implementing the desired convo... | 4 | null | Implement the Python class `DCGAN` described below.
Class description:
Implement the DCGAN class.
Method signatures and docstrings:
- def get_conv(self, k=5, s=2, channels=1): Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (us... | Implement the Python class `DCGAN` described below.
Class description:
Implement the DCGAN class.
Method signatures and docstrings:
- def get_conv(self, k=5, s=2, channels=1): Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (us... | cbcdea5a6e7d82006646a593ae0408e5437ac24b | <|skeleton|>
class DCGAN:
def get_conv(self, k=5, s=2, channels=1):
"""Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (uses same size for both dimensions by default). :param channels: number of channels (should alwa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DCGAN:
def get_conv(self, k=5, s=2, channels=1):
"""Get the convolution operation for this model. :param k: kernel size (uses same size for both dimensions by default). :param s: stride size (uses same size for both dimensions by default). :param channels: number of channels (should always be 1). :ret... | the_stack_v2_python_sparse | fftracer/training/models/adversarial/dcgan.py | Asashou/ffn-tracer | train | 0 | |
1e355e32f09d4aaeb7f755e55e7c95da330b3f70 | [
"node = eqnNode.spotByNumber(0).spotChain()[0].nodeRef\ntry:\n return node.formatRef.fieldDict[self.fieldName].mathValue(node, zeroBlanks, noMarkup)\nexcept KeyError:\n return zeroValue if zeroBlanks else None",
"if 1 not in {len(spot.spotChain()) for spot in refNode.spotRefs}:\n return []\nrefs = [node ... | <|body_start_0|>
node = eqnNode.spotByNumber(0).spotChain()[0].nodeRef
try:
return node.formatRef.fieldDict[self.fieldName].mathValue(node, zeroBlanks, noMarkup)
except KeyError:
return zeroValue if zeroBlanks else None
<|end_body_0|>
<|body_start_1|>
if 1 not in... | Class to store and eval root node field references in a Math equation. | EquationRootRef | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EquationRootRef:
"""Class to store and eval root node field references in a Math equation."""
def referenceValue(self, eqnNode, zeroBlanks=True, zeroValue=0, noMarkup=True):
"""Return the root field value referenced from a given node. Return None if blank or doesn't exist and not zer... | stack_v2_sparse_classes_75kplus_train_009014 | 21,625 | no_license | [
{
"docstring": "Return the root field value referenced from a given node. Return None if blank or doesn't exist and not zeroBlanks, raise a ValueError if it isn't a number. Arguments: eqnNode -- the node containing the equation to evaluate zeroBlanks -- replace blank fields with zeroValue if True zeroValue -- t... | 2 | stack_v2_sparse_classes_30k_train_012519 | Implement the Python class `EquationRootRef` described below.
Class description:
Class to store and eval root node field references in a Math equation.
Method signatures and docstrings:
- def referenceValue(self, eqnNode, zeroBlanks=True, zeroValue=0, noMarkup=True): Return the root field value referenced from a give... | Implement the Python class `EquationRootRef` described below.
Class description:
Class to store and eval root node field references in a Math equation.
Method signatures and docstrings:
- def referenceValue(self, eqnNode, zeroBlanks=True, zeroValue=0, noMarkup=True): Return the root field value referenced from a give... | c9429496e8ed15116746a23f3a90f262cf54f755 | <|skeleton|>
class EquationRootRef:
"""Class to store and eval root node field references in a Math equation."""
def referenceValue(self, eqnNode, zeroBlanks=True, zeroValue=0, noMarkup=True):
"""Return the root field value referenced from a given node. Return None if blank or doesn't exist and not zer... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EquationRootRef:
"""Class to store and eval root node field references in a Math equation."""
def referenceValue(self, eqnNode, zeroBlanks=True, zeroValue=0, noMarkup=True):
"""Return the root field value referenced from a given node. Return None if blank or doesn't exist and not zeroBlanks, rais... | the_stack_v2_python_sparse | source/matheval.py | doug-101/TreeLine | train | 121 |
fa09705729613b29b27d4a87f6337ebe4334c9b5 | [
"nums.sort()\nfor i in range(1, len(nums)):\n if nums[i] == nums[i - 1]:\n return True\nreturn False",
"o = set(nums)\nif len(nums) != len(s):\n return True\nreturn False",
"m = defaultdict(int)\nfor num in nums:\n if m[num]:\n return True\n m[num] += 1\nreturn False"
] | <|body_start_0|>
nums.sort()
for i in range(1, len(nums)):
if nums[i] == nums[i - 1]:
return True
return False
<|end_body_0|>
<|body_start_1|>
o = set(nums)
if len(nums) != len(s):
return True
return False
<|end_body_1|>
<|body_st... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def contains_duplicate1(self, nums: List[int]) -> bool:
"""n(log(n)) Using sort with one loop :param nums: :return:"""
<|body_0|>
def contains_duplicate2(self, nums: List[int]) -> bool:
"""O(n), space = O(n) Using sort with one loop :param nums: :return:"""... | stack_v2_sparse_classes_75kplus_train_009015 | 1,740 | permissive | [
{
"docstring": "n(log(n)) Using sort with one loop :param nums: :return:",
"name": "contains_duplicate1",
"signature": "def contains_duplicate1(self, nums: List[int]) -> bool"
},
{
"docstring": "O(n), space = O(n) Using sort with one loop :param nums: :return:",
"name": "contains_duplicate2"... | 3 | stack_v2_sparse_classes_30k_train_038786 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def contains_duplicate1(self, nums: List[int]) -> bool: n(log(n)) Using sort with one loop :param nums: :return:
- def contains_duplicate2(self, nums: List[int]) -> bool: O(n), s... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def contains_duplicate1(self, nums: List[int]) -> bool: n(log(n)) Using sort with one loop :param nums: :return:
- def contains_duplicate2(self, nums: List[int]) -> bool: O(n), s... | 47c406bda760c4fb3256150e0eacd2db80c2477e | <|skeleton|>
class Solution:
def contains_duplicate1(self, nums: List[int]) -> bool:
"""n(log(n)) Using sort with one loop :param nums: :return:"""
<|body_0|>
def contains_duplicate2(self, nums: List[int]) -> bool:
"""O(n), space = O(n) Using sort with one loop :param nums: :return:"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def contains_duplicate1(self, nums: List[int]) -> bool:
"""n(log(n)) Using sort with one loop :param nums: :return:"""
nums.sort()
for i in range(1, len(nums)):
if nums[i] == nums[i - 1]:
return True
return False
def contains_duplicate... | the_stack_v2_python_sparse | udemy_leetcode/Hash Map Facebook Interview Questions solutions/contain_duplicate.py | dipsuji/coding_pyhton | train | 0 | |
fb938e347bf9b77d209f21e161d2d52f76dfe45e | [
"tasks = []\nwith open(filename) as taskfile:\n file_contents = yaml.load(taskfile, Loader=yaml.BaseLoader)\n for taskdict in file_contents:\n tasks.append(Task(taskdict))\nreturn tasks",
"with open(filename) as questionfile:\n file_contents = yaml.load(questionfile, Loader=yaml.BaseLoader)\n t... | <|body_start_0|>
tasks = []
with open(filename) as taskfile:
file_contents = yaml.load(taskfile, Loader=yaml.BaseLoader)
for taskdict in file_contents:
tasks.append(Task(taskdict))
return tasks
<|end_body_0|>
<|body_start_1|>
with open(filename) a... | Read and write YAML files in a way that benefits the bot. | YAMLFileIO | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class YAMLFileIO:
"""Read and write YAML files in a way that benefits the bot."""
def read_tasks(cls, filename):
"""Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each of them representing one task. Each task must have keys "... | stack_v2_sparse_classes_75kplus_train_009016 | 5,717 | no_license | [
{
"docstring": "Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each of them representing one task. Each task must have keys \"text\" and \"tasktype\", and may also contain any of the following: \"notes\", \"date\", \"difficulty\", \"uppable\" and ... | 3 | stack_v2_sparse_classes_30k_train_032314 | Implement the Python class `YAMLFileIO` described below.
Class description:
Read and write YAML files in a way that benefits the bot.
Method signatures and docstrings:
- def read_tasks(cls, filename): Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each ... | Implement the Python class `YAMLFileIO` described below.
Class description:
Read and write YAML files in a way that benefits the bot.
Method signatures and docstrings:
- def read_tasks(cls, filename): Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each ... | f6c94c01fd72b63c38cfca20cf92960827a9eebd | <|skeleton|>
class YAMLFileIO:
"""Read and write YAML files in a way that benefits the bot."""
def read_tasks(cls, filename):
"""Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each of them representing one task. Each task must have keys "... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class YAMLFileIO:
"""Read and write YAML files in a way that benefits the bot."""
def read_tasks(cls, filename):
"""Create tasks representing the ones in the file. The input file must be a YAML file, containing a list of dicts, each of them representing one task. Each task must have keys "text" and "ta... | the_stack_v2_python_sparse | habot/io/yaml.py | bgigous/habot | train | 0 |
6b914d2d05aa8965de3cb9676c420d51a2758717 | [
"super().__init__(*args, **kwargs)\nself.full_model_name = full_model_name\nself.app_name, self.related_model_name = full_model_name.split('.')\nself.label = full_model_name\nself.known_models = RegisteredModels()",
"if isinstance(value, Model):\n return value\nif isinstance(value, int):\n model_class = sel... | <|body_start_0|>
super().__init__(*args, **kwargs)
self.full_model_name = full_model_name
self.app_name, self.related_model_name = full_model_name.split('.')
self.label = full_model_name
self.known_models = RegisteredModels()
<|end_body_0|>
<|body_start_1|>
if isinstance... | Field representing a model. ForeignKey relation is modeled with this field. | ModelField | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
<|body_0|>
def to_python(self, value):
"""Return the python object representing the field.""... | stack_v2_sparse_classes_75kplus_train_009017 | 19,131 | permissive | [
{
"docstring": "Initialize.",
"name": "__init__",
"signature": "def __init__(self, full_model_name: str, *args, **kwargs)"
},
{
"docstring": "Return the python object representing the field.",
"name": "to_python",
"signature": "def to_python(self, value)"
},
{
"docstring": "Conve... | 3 | stack_v2_sparse_classes_30k_train_039879 | Implement the Python class `ModelField` described below.
Class description:
Field representing a model. ForeignKey relation is modeled with this field.
Method signatures and docstrings:
- def __init__(self, full_model_name: str, *args, **kwargs): Initialize.
- def to_python(self, value): Return the python object repr... | Implement the Python class `ModelField` described below.
Class description:
Field representing a model. ForeignKey relation is modeled with this field.
Method signatures and docstrings:
- def __init__(self, full_model_name: str, *args, **kwargs): Initialize.
- def to_python(self, value): Return the python object repr... | 25c0c45235ef37beb45c1af4c917fbbae6282016 | <|skeleton|>
class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
<|body_0|>
def to_python(self, value):
"""Return the python object representing the field.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ModelField:
"""Field representing a model. ForeignKey relation is modeled with this field."""
def __init__(self, full_model_name: str, *args, **kwargs):
"""Initialize."""
super().__init__(*args, **kwargs)
self.full_model_name = full_model_name
self.app_name, self.related_m... | the_stack_v2_python_sparse | resolwe/process/models.py | genialis/resolwe | train | 35 |
4bff64b5ea30f00bceac84482cd4ab24f3a15ed2 | [
"super(DefaultStaticAssetPolicy, self).__init__(config)\nself.settings = config.registry.settings\nself.views = {}",
"cache_max_age = self.settings.get('websauna.cache_max_age_seconds')\nif cache_max_age:\n cache_max_age = int(cache_max_age)\nself.config.add_static_view(name, path, cache_max_age=cache_max_age)... | <|body_start_0|>
super(DefaultStaticAssetPolicy, self).__init__(config)
self.settings = config.registry.settings
self.views = {}
<|end_body_0|>
<|body_start_1|>
cache_max_age = self.settings.get('websauna.cache_max_age_seconds')
if cache_max_age:
cache_max_age = int(... | Default inplementation of StaticAssetPolicy. | DefaultStaticAssetPolicy | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DefaultStaticAssetPolicy:
"""Default inplementation of StaticAssetPolicy."""
def __init__(self, config: Configurator):
"""Initialize DefaultStaticAssetPolicy. :param config: Pyramid config."""
<|body_0|>
def add_static_view(self, name: str, path: str):
"""Include... | stack_v2_sparse_classes_75kplus_train_009018 | 9,928 | permissive | [
{
"docstring": "Initialize DefaultStaticAssetPolicy. :param config: Pyramid config.",
"name": "__init__",
"signature": "def __init__(self, config: Configurator)"
},
{
"docstring": "Include a path in static assets and configures cache busting for it. This does not only include the static resource... | 3 | stack_v2_sparse_classes_30k_train_009048 | Implement the Python class `DefaultStaticAssetPolicy` described below.
Class description:
Default inplementation of StaticAssetPolicy.
Method signatures and docstrings:
- def __init__(self, config: Configurator): Initialize DefaultStaticAssetPolicy. :param config: Pyramid config.
- def add_static_view(self, name: str... | Implement the Python class `DefaultStaticAssetPolicy` described below.
Class description:
Default inplementation of StaticAssetPolicy.
Method signatures and docstrings:
- def __init__(self, config: Configurator): Initialize DefaultStaticAssetPolicy. :param config: Pyramid config.
- def add_static_view(self, name: str... | a57de54fb8a3fae859f24f373f0292e1e4b3c344 | <|skeleton|>
class DefaultStaticAssetPolicy:
"""Default inplementation of StaticAssetPolicy."""
def __init__(self, config: Configurator):
"""Initialize DefaultStaticAssetPolicy. :param config: Pyramid config."""
<|body_0|>
def add_static_view(self, name: str, path: str):
"""Include... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DefaultStaticAssetPolicy:
"""Default inplementation of StaticAssetPolicy."""
def __init__(self, config: Configurator):
"""Initialize DefaultStaticAssetPolicy. :param config: Pyramid config."""
super(DefaultStaticAssetPolicy, self).__init__(config)
self.settings = config.registry.s... | the_stack_v2_python_sparse | websauna/system/http/static.py | websauna/websauna | train | 294 |
02149f738b297e4e34d37d5194d23764b53f5b04 | [
"self.env.revert_snapshot('ready_with_5_slaves')\nself.prepare_plugin()\nself.helpers.fuel_createmirror()\nself.helpers.create_cluster(name=self.__class__.__name__)\nself.activate_plugin()\nself.helpers.deploy_cluster({'slave-01': ['controller'], 'slave-02': ['controller'], 'slave-03': ['controller'], 'slave-04': [... | <|body_start_0|>
self.env.revert_snapshot('ready_with_5_slaves')
self.prepare_plugin()
self.helpers.fuel_createmirror()
self.helpers.create_cluster(name=self.__class__.__name__)
self.activate_plugin()
self.helpers.deploy_cluster({'slave-01': ['controller'], 'slave-02': ['... | Class for system testing the Zabbix plugin. | TestZabbixPluginSystem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestZabbixPluginSystem:
"""Class for system testing the Zabbix plugin."""
def deploy_zabbix_ha_offline(self):
"""Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install the plugin. 2. Run the following command on the master nod... | stack_v2_sparse_classes_75kplus_train_009019 | 6,549 | no_license | [
{
"docstring": "Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install the plugin. 2. Run the following command on the master node: fuel-createmirror 3. Create an environment with enabled plugin in the Fuel Web UI and deploy it. 4. Run OSTF. Duration 60m... | 2 | null | Implement the Python class `TestZabbixPluginSystem` described below.
Class description:
Class for system testing the Zabbix plugin.
Method signatures and docstrings:
- def deploy_zabbix_ha_offline(self): Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install t... | Implement the Python class `TestZabbixPluginSystem` described below.
Class description:
Class for system testing the Zabbix plugin.
Method signatures and docstrings:
- def deploy_zabbix_ha_offline(self): Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install t... | 179249df2d206eeabb3955c9dc8cb78cac3c36c6 | <|skeleton|>
class TestZabbixPluginSystem:
"""Class for system testing the Zabbix plugin."""
def deploy_zabbix_ha_offline(self):
"""Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install the plugin. 2. Run the following command on the master nod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestZabbixPluginSystem:
"""Class for system testing the Zabbix plugin."""
def deploy_zabbix_ha_offline(self):
"""Run fuel-createmirror and deploy environment Scenario: 1. Copy Zabbix plugin to the Fuel Master node and install the plugin. 2. Run the following command on the master node: fuel-creat... | the_stack_v2_python_sparse | stacklight_tests/zabbix/test_system.py | rkhozinov/stacklight-integration-tests | train | 1 |
4f50754d0b54b21756753e73d486c9418fb8db90 | [
"assert isinstance(input_size, tuple), 'Input size must be a tuple (input_width, input_height)'\nself.input_size = input_size[:2]\nassert isinstance(width_shift_range, int) or isinstance(width_shift_range, float), 'width_shift_range must be an int ora a float'\nif isinstance(width_shift_range, int):\n assert wid... | <|body_start_0|>
assert isinstance(input_size, tuple), 'Input size must be a tuple (input_width, input_height)'
self.input_size = input_size[:2]
assert isinstance(width_shift_range, int) or isinstance(width_shift_range, float), 'width_shift_range must be an int ora a float'
if isinstance... | SpectrogramShift | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectrogramShift:
def __init__(self, input_size, width_shift_range, shift_prob=1.0, left=False, random_side=False):
"""Callable that shift a spectrogram using numpy Args: - input_size: size of the spectrogram - width_shift_range: range of the shift OPTIONAL: - shift_prob: probability to ... | stack_v2_sparse_classes_75kplus_train_009020 | 5,592 | no_license | [
{
"docstring": "Callable that shift a spectrogram using numpy Args: - input_size: size of the spectrogram - width_shift_range: range of the shift OPTIONAL: - shift_prob: probability to have shifting - left: True if left shifting - random_side: True to decide randomly if left or right shift",
"name": "__init... | 2 | stack_v2_sparse_classes_30k_train_007980 | Implement the Python class `SpectrogramShift` described below.
Class description:
Implement the SpectrogramShift class.
Method signatures and docstrings:
- def __init__(self, input_size, width_shift_range, shift_prob=1.0, left=False, random_side=False): Callable that shift a spectrogram using numpy Args: - input_size... | Implement the Python class `SpectrogramShift` described below.
Class description:
Implement the SpectrogramShift class.
Method signatures and docstrings:
- def __init__(self, input_size, width_shift_range, shift_prob=1.0, left=False, random_side=False): Callable that shift a spectrogram using numpy Args: - input_size... | efaf7c637e8387116d0eea37a0a173bb65bbccc9 | <|skeleton|>
class SpectrogramShift:
def __init__(self, input_size, width_shift_range, shift_prob=1.0, left=False, random_side=False):
"""Callable that shift a spectrogram using numpy Args: - input_size: size of the spectrogram - width_shift_range: range of the shift OPTIONAL: - shift_prob: probability to ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpectrogramShift:
def __init__(self, input_size, width_shift_range, shift_prob=1.0, left=False, random_side=False):
"""Callable that shift a spectrogram using numpy Args: - input_size: size of the spectrogram - width_shift_range: range of the shift OPTIONAL: - shift_prob: probability to have shifting ... | the_stack_v2_python_sparse | core/data_augmentation/image_transformations.py | EmanueleMusumeci/UrbanSound8K-CNN-sound-classification | train | 1 | |
23daaba19348f375b76accf7ab3ec6c20471ac30 | [
"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... | 慢钱宝app精彩服务api | ICouponRecordShowServiceServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ICouponRecordShowServiceServicer:
"""慢钱宝app精彩服务api"""
def getCouponRecordById(self, request, context):
"""getCouponRecordById"""
<|body_0|>
def getCouponRecordByUserIdAndExpiredPaging(self, request, context):
"""根据用户id和是否失效以及类型获取优惠券记录页"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_009021 | 2,742 | no_license | [
{
"docstring": "getCouponRecordById",
"name": "getCouponRecordById",
"signature": "def getCouponRecordById(self, request, context)"
},
{
"docstring": "根据用户id和是否失效以及类型获取优惠券记录页",
"name": "getCouponRecordByUserIdAndExpiredPaging",
"signature": "def getCouponRecordByUserIdAndExpiredPaging(se... | 2 | stack_v2_sparse_classes_30k_train_014147 | Implement the Python class `ICouponRecordShowServiceServicer` described below.
Class description:
慢钱宝app精彩服务api
Method signatures and docstrings:
- def getCouponRecordById(self, request, context): getCouponRecordById
- def getCouponRecordByUserIdAndExpiredPaging(self, request, context): 根据用户id和是否失效以及类型获取优惠券记录页 | Implement the Python class `ICouponRecordShowServiceServicer` described below.
Class description:
慢钱宝app精彩服务api
Method signatures and docstrings:
- def getCouponRecordById(self, request, context): getCouponRecordById
- def getCouponRecordByUserIdAndExpiredPaging(self, request, context): 根据用户id和是否失效以及类型获取优惠券记录页
<|ske... | 08e9ca1f3e3c091756f8774f1b58055dd80d1e90 | <|skeleton|>
class ICouponRecordShowServiceServicer:
"""慢钱宝app精彩服务api"""
def getCouponRecordById(self, request, context):
"""getCouponRecordById"""
<|body_0|>
def getCouponRecordByUserIdAndExpiredPaging(self, request, context):
"""根据用户id和是否失效以及类型获取优惠券记录页"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ICouponRecordShowServiceServicer:
"""慢钱宝app精彩服务api"""
def getCouponRecordById(self, request, context):
"""getCouponRecordById"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented... | the_stack_v2_python_sparse | ICouponRecordService_pb2_grpc.py | qianbingbing/apitest | train | 0 |
2b359d6db42ad1456a284127373bd437ce5f25cb | [
"with self._lock:\n if not self._done:\n self._Print('.')\nreturn self._done",
"if self._spinner_only or not self._output_enabled:\n return\ndisplay_message = self._GetPrefix()\nself._stream.write(message or display_message + '\\n')\nreturn"
] | <|body_start_0|>
with self._lock:
if not self._done:
self._Print('.')
return self._done
<|end_body_0|>
<|body_start_1|>
if self._spinner_only or not self._output_enabled:
return
display_message = self._GetPrefix()
self._stream.write(messag... | A context manager for telling the user about long-running progress. | _NonInteractiveProgressTracker | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _NonInteractiveProgressTracker:
"""A context manager for telling the user about long-running progress."""
def Tick(self):
"""Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. Nothing is shown if output is not a TTY. Returns: Whether ... | stack_v2_sparse_classes_75kplus_train_009022 | 47,411 | permissive | [
{
"docstring": "Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. Nothing is shown if output is not a TTY. Returns: Whether progress has completed.",
"name": "Tick",
"signature": "def Tick(self)"
},
{
"docstring": "Reprints the prefix followed b... | 2 | stack_v2_sparse_classes_30k_train_046784 | Implement the Python class `_NonInteractiveProgressTracker` described below.
Class description:
A context manager for telling the user about long-running progress.
Method signatures and docstrings:
- def Tick(self): Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. N... | Implement the Python class `_NonInteractiveProgressTracker` described below.
Class description:
A context manager for telling the user about long-running progress.
Method signatures and docstrings:
- def Tick(self): Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. N... | 85bb264e273568b5a0408f733b403c56373e2508 | <|skeleton|>
class _NonInteractiveProgressTracker:
"""A context manager for telling the user about long-running progress."""
def Tick(self):
"""Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. Nothing is shown if output is not a TTY. Returns: Whether ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _NonInteractiveProgressTracker:
"""A context manager for telling the user about long-running progress."""
def Tick(self):
"""Give a visual indication to the user that some progress has been made. Output is sent to sys.stderr. Nothing is shown if output is not a TTY. Returns: Whether progress has ... | the_stack_v2_python_sparse | google-cloud-sdk/lib/googlecloudsdk/core/console/progress_tracker.py | bopopescu/socialliteapp | train | 0 |
46ef82fc24bc8140fe63e8b26b8f7c29c5611b47 | [
"self.name = name\nself.metalearning = metalearning\nself.local_algo = local_algo\nself.stopping = self.StoppingCriteria(metalearning_steps=metalearning_steps)",
"params = AlgoProto.LTFB()\nparams.stopping_criteria.CopyFrom(self.stopping.export_proto())\nparams.meta_learning_strategy.Pack(self.metalearning.export... | <|body_start_0|>
self.name = name
self.metalearning = metalearning
self.local_algo = local_algo
self.stopping = self.StoppingCriteria(metalearning_steps=metalearning_steps)
<|end_body_0|>
<|body_start_1|>
params = AlgoProto.LTFB()
params.stopping_criteria.CopyFrom(self.s... | Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local training, a metaheuristic ("metalearning" algorithm) is applied to selec... | LTFB | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LTFB:
"""Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local training, a metaheuristic ("metalearning... | stack_v2_sparse_classes_75kplus_train_009023 | 18,905 | permissive | [
{
"docstring": "Construct a new LTFB algorithm. Args: name: A user-defined name to identify this object in logs. local_algo: The trainer-local algorithm to apply. metalearning: The metalearning strategy to apply after local training. metalearning_steps: The number of outer-loop iterations.",
"name": "__init... | 2 | null | Implement the Python class `LTFB` described below.
Class description:
Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local t... | Implement the Python class `LTFB` described below.
Class description:
Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local t... | e8cf85eed2acbd3383892bf7cb2d88b44c194f4f | <|skeleton|>
class LTFB:
"""Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local training, a metaheuristic ("metalearning... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LTFB:
"""Livermore tournament fast-batch (LTFB) algorithm. This training algorithm is a simple composite training algorithm. The MPI universe is subdivided into several "trainers". Each trainer applies a local training algorithm. At the completion of local training, a metaheuristic ("metalearning" algorithm) ... | the_stack_v2_python_sparse | python/lbann/core/training_algorithm.py | LLNL/lbann | train | 225 |
f2af16fa7a365800e12530d82ea924a71422ffb8 | [
"parser = argparse.ArgumentParser(description='This is the front end of the ExaHyPE code generator.')\nfor arg in ArgumentParser.args:\n key = arg[0]\n type = arg[1]\n info = arg[2]\n if type == ArgumentParser.ArgType.MandatoryString:\n parser.add_argument(key, help=info)\n elif type == Argume... | <|body_start_0|>
parser = argparse.ArgumentParser(description='This is the front end of the ExaHyPE code generator.')
for arg in ArgumentParser.args:
key = arg[0]
type = arg[1]
info = arg[2]
if type == ArgumentParser.ArgType.MandatoryString:
... | Public API | ArgumentParser | [
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArgumentParser:
"""Public API"""
def parseArgs():
"""Process the command line arguments"""
<|body_0|>
def validateInputConfig(inputConfig):
"""Validate a config and add the default value of missing optional arguments"""
<|body_1|>
def buildCommandLin... | stack_v2_sparse_classes_75kplus_train_009024 | 7,542 | permissive | [
{
"docstring": "Process the command line arguments",
"name": "parseArgs",
"signature": "def parseArgs()"
},
{
"docstring": "Validate a config and add the default value of missing optional arguments",
"name": "validateInputConfig",
"signature": "def validateInputConfig(inputConfig)"
},
... | 3 | stack_v2_sparse_classes_30k_train_037305 | Implement the Python class `ArgumentParser` described below.
Class description:
Public API
Method signatures and docstrings:
- def parseArgs(): Process the command line arguments
- def validateInputConfig(inputConfig): Validate a config and add the default value of missing optional arguments
- def buildCommandLineFro... | Implement the Python class `ArgumentParser` described below.
Class description:
Public API
Method signatures and docstrings:
- def parseArgs(): Process the command line arguments
- def validateInputConfig(inputConfig): Validate a config and add the default value of missing optional arguments
- def buildCommandLineFro... | 714a6052a8accace0235fd2483566d7e9cbacb0a | <|skeleton|>
class ArgumentParser:
"""Public API"""
def parseArgs():
"""Process the command line arguments"""
<|body_0|>
def validateInputConfig(inputConfig):
"""Validate a config and add the default value of missing optional arguments"""
<|body_1|>
def buildCommandLin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArgumentParser:
"""Public API"""
def parseArgs():
"""Process the command line arguments"""
parser = argparse.ArgumentParser(description='This is the front end of the ExaHyPE code generator.')
for arg in ArgumentParser.args:
key = arg[0]
type = arg[1]
... | the_stack_v2_python_sparse | CodeGenerator/codegenerator/argumentParser.py | annereinarz/ExaHyPE-Workshop-Engine | train | 2 |
3f7f3dfdef9347112e6a925cf4a6e1aef9642d44 | [
"if not number:\n raise ValueError('\"number\" must not be empty.')\ntry:\n return cls.objects.create(phone_number=number)\nexcept IntegrityError:\n return None",
"if not number:\n raise ValueError('\"number\" must not be empty.')\nnumber = cls.objects.filter(phone_number=number).only('id')\nif not nu... | <|body_start_0|>
if not number:
raise ValueError('"number" must not be empty.')
try:
return cls.objects.create(phone_number=number)
except IntegrityError:
return None
<|end_body_0|>
<|body_start_1|>
if not number:
raise ValueError('"number... | SuspiciousPhoneNumbers | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SuspiciousPhoneNumbers:
def add(cls, number):
"""Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns: BannedPhoneNumbers record - if number was successfully added into ban. None - if the number already present i... | stack_v2_sparse_classes_75kplus_train_009025 | 3,941 | no_license | [
{
"docstring": "Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns: BannedPhoneNumbers record - if number was successfully added into ban. None - if the number already present in the ban. :raises: ValueError - if \"number\" is empty."... | 3 | stack_v2_sparse_classes_30k_test_002503 | Implement the Python class `SuspiciousPhoneNumbers` described below.
Class description:
Implement the SuspiciousPhoneNumbers class.
Method signatures and docstrings:
- def add(cls, number): Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns... | Implement the Python class `SuspiciousPhoneNumbers` described below.
Class description:
Implement the SuspiciousPhoneNumbers class.
Method signatures and docstrings:
- def add(cls, number): Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns... | c060941b16c36d258989206f9c2143b5179b4acd | <|skeleton|>
class SuspiciousPhoneNumbers:
def add(cls, number):
"""Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns: BannedPhoneNumbers record - if number was successfully added into ban. None - if the number already present i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SuspiciousPhoneNumbers:
def add(cls, number):
"""Creates and returns new record with banned phone number. :param number: phone number that should be added into the ban. :returns: BannedPhoneNumbers record - if number was successfully added into ban. None - if the number already present in the ban. :ra... | the_stack_v2_python_sparse | core/managing/ban/models.py | HaySayCheese/mappino | train | 0 | |
2bcf0cc7e7c6718e9d8bfec07058cb2e656241a4 | [
"n = len(nums)\nfor i in range(n):\n nums[nums[i] % (n + 1) - 1] += n + 1\ndissappeared = []\nfor i in range(n):\n if nums[i] / (n + 1) == 2:\n dissappeared.append(i + 1)\nreturn dissappeared",
"res = []\nfor x in nums:\n if nums[abs(x) - 1] < 0:\n res.append(abs(x))\n else:\n num... | <|body_start_0|>
n = len(nums)
for i in range(n):
nums[nums[i] % (n + 1) - 1] += n + 1
dissappeared = []
for i in range(n):
if nums[i] / (n + 1) == 2:
dissappeared.append(i + 1)
return dissappeared
<|end_body_0|>
<|body_start_1|>
r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findDuplicates(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
... | stack_v2_sparse_classes_75kplus_train_009026 | 1,575 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findDisappearedNumbers",
"signature": "def findDisappearedNumbers(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: List[int]",
"name": "findDuplicates",
"signature": "def findDuplicates(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_053258 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDisappearedNumbers(self, nums): :type nums: List[int] :rtype: List[int]
- def findDuplicates(self, nums): :type nums: List[int] :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findDisappearedNumbers(self, nums): :type nums: List[int] :rtype: List[int]
- def findDuplicates(self, nums): :type nums: List[int] :rtype: List[int]
<|skeleton|>
class Solu... | 058b6d6139a0d9b019547ae7b53a4e74fa114a8b | <|skeleton|>
class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_0|>
def findDuplicates(self, nums):
""":type nums: List[int] :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findDisappearedNumbers(self, nums):
""":type nums: List[int] :rtype: List[int]"""
n = len(nums)
for i in range(n):
nums[nums[i] % (n + 1) - 1] += n + 1
dissappeared = []
for i in range(n):
if nums[i] / (n + 1) == 2:
... | the_stack_v2_python_sparse | 01_Arrays/442_Number_Duplicates/NumberDuplicates.py | dtran39/Programming_Preparation | train | 0 | |
c850878e683141c17d0e4e16c25ae0d4d2c4c175 | [
"Presentation.__init__(self, pere, chapitre, attribut, False)\nif pere and chapitre:\n self.construire(chapitre)",
"titre = self.ajouter_choix('titre', 't', Uniligne, chapitre, 'titre')\ntitre.parent = self\ntitre.prompt = 'Titre du chapitre : '\ntitre.apercu = '{objet.titre}'\ntitre.aide_courte = 'Entrez le |... | <|body_start_0|>
Presentation.__init__(self, pere, chapitre, attribut, False)
if pere and chapitre:
self.construire(chapitre)
<|end_body_0|>
<|body_start_1|>
titre = self.ajouter_choix('titre', 't', Uniligne, chapitre, 'titre')
titre.parent = self
titre.prompt = 'Tit... | Ce contexte permet d'éditer un chapitre d'un livre. | EdtChapitre | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, chapitre):
"""Construction de l'éditeur"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus_train_009027 | 3,068 | permissive | [
{
"docstring": "Constructeur de l'éditeur",
"name": "__init__",
"signature": "def __init__(self, pere, chapitre=None, attribut=None)"
},
{
"docstring": "Construction de l'éditeur",
"name": "construire",
"signature": "def construire(self, chapitre)"
}
] | 2 | stack_v2_sparse_classes_30k_train_023780 | Implement the Python class `EdtChapitre` described below.
Class description:
Ce contexte permet d'éditer un chapitre d'un livre.
Method signatures and docstrings:
- def __init__(self, pere, chapitre=None, attribut=None): Constructeur de l'éditeur
- def construire(self, chapitre): Construction de l'éditeur | Implement the Python class `EdtChapitre` described below.
Class description:
Ce contexte permet d'éditer un chapitre d'un livre.
Method signatures and docstrings:
- def __init__(self, pere, chapitre=None, attribut=None): Constructeur de l'éditeur
- def construire(self, chapitre): Construction de l'éditeur
<|skeleton... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
<|body_0|>
def construire(self, chapitre):
"""Construction de l'éditeur"""
<|body_1|>
<|end_ske... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EdtChapitre:
"""Ce contexte permet d'éditer un chapitre d'un livre."""
def __init__(self, pere, chapitre=None, attribut=None):
"""Constructeur de l'éditeur"""
Presentation.__init__(self, pere, chapitre, attribut, False)
if pere and chapitre:
self.construire(chapitre)
... | the_stack_v2_python_sparse | src/primaires/objet/types/editeurs/chapitre.py | vincent-lg/tsunami | train | 5 |
28aafb3b6ad9509c895a524e3995edbf38b4a51a | [
"self._move_speed = move_speed\nself._pure_state = pure_state\nsuper(Humanoid, self).__init__(random=random)",
"penetrating = True\nwhile penetrating:\n randomizers.randomize_limited_and_rotational_joints(physics, self.random)\n physics.after_reset()\n penetrating = physics.data.ncon > 0\nsuper(Humanoid,... | <|body_start_0|>
self._move_speed = move_speed
self._pure_state = pure_state
super(Humanoid, self).__init__(random=random)
<|end_body_0|>
<|body_start_1|>
penetrating = True
while penetrating:
randomizers.randomize_limited_and_rotational_joints(physics, self.random)
... | A humanoid task. | Humanoid | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Humanoid:
"""A humanoid task."""
def __init__(self, move_speed, pure_state, random=None):
"""Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Otherwise this specifies a target horizontal velocity for the ... | stack_v2_sparse_classes_75kplus_train_009028 | 8,099 | permissive | [
{
"docstring": "Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Otherwise this specifies a target horizontal velocity for the walking task. pure_state: A bool. Whether the observations consist of the pure MuJoCo state or includes s... | 4 | stack_v2_sparse_classes_30k_train_004487 | Implement the Python class `Humanoid` described below.
Class description:
A humanoid task.
Method signatures and docstrings:
- def __init__(self, move_speed, pure_state, random=None): Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Other... | Implement the Python class `Humanoid` described below.
Class description:
A humanoid task.
Method signatures and docstrings:
- def __init__(self, move_speed, pure_state, random=None): Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Other... | 33d3ea2682409ee82bf9c5129ceaf06ab01cd48e | <|skeleton|>
class Humanoid:
"""A humanoid task."""
def __init__(self, move_speed, pure_state, random=None):
"""Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Otherwise this specifies a target horizontal velocity for the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Humanoid:
"""A humanoid task."""
def __init__(self, move_speed, pure_state, random=None):
"""Initializes an instance of `Humanoid`. Args: move_speed: A float. If this value is zero, reward is given simply for standing up. Otherwise this specifies a target horizontal velocity for the walking task.... | the_stack_v2_python_sparse | src/env/dm_control/dm_control/suite/humanoid.py | nicklashansen/svea-vit | train | 16 |
1353c919d66c5f3e513d464c3fa7692a10cdecec | [
"if not quota_max_calls:\n use_rate_limiter = False\nself._apps = None\nself._app_services = None\nself._service_versions = None\nself._version_instances = None\nsuper(AppEngineRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_calls=quota_max_calls, quota_period=quota_period, use_rate_limiter... | <|body_start_0|>
if not quota_max_calls:
use_rate_limiter = False
self._apps = None
self._app_services = None
self._service_versions = None
self._version_instances = None
super(AppEngineRepositoryClient, self).__init__(API_NAME, versions=['v1'], quota_max_call... | AppEngine API Respository. | AppEngineRepositoryClient | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppEngineRepositoryClient:
"""AppEngine API Respository."""
def __init__(self, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track ... | stack_v2_sparse_classes_75kplus_train_009029 | 17,022 | permissive | [
{
"docstring": "Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track requests over. use_rate_limiter (bool): Set to false to disable the use of a rate limiter for this service.",
"name": "__init__",
"signature": "def __... | 5 | null | Implement the Python class `AppEngineRepositoryClient` described below.
Class description:
AppEngine API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for... | Implement the Python class `AppEngineRepositoryClient` described below.
Class description:
AppEngine API Respository.
Method signatures and docstrings:
- def __init__(self, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True): Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class AppEngineRepositoryClient:
"""AppEngine API Respository."""
def __init__(self, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AppEngineRepositoryClient:
"""AppEngine API Respository."""
def __init__(self, quota_max_calls=None, quota_period=1.0, use_rate_limiter=True):
"""Constructor. Args: quota_max_calls (int): Allowed requests per <quota_period> for the API. quota_period (float): The time period to track requests over... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_api/appengine.py | kevensen/forseti-security | train | 1 |
1c47c205acca739eeda75b44066fa010a6fa8785 | [
"metadata = {'OriginalVolumeMetadataKey': 'OriginalVolumeMetadataValue'}\nsize = self.volumes.behaviors.get_configured_volume_type_property('min_size', id_=volume_type_id, name=volume_type_name)\nvolume = self.volumes.behaviors.create_available_volume(size, volume_type_id, self.random_volume_name(), metadata=metada... | <|body_start_0|>
metadata = {'OriginalVolumeMetadataKey': 'OriginalVolumeMetadataValue'}
size = self.volumes.behaviors.get_configured_volume_type_property('min_size', id_=volume_type_id, name=volume_type_name)
volume = self.volumes.behaviors.create_available_volume(size, volume_type_id, self.ran... | CBSVolumeCloneTests | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CBSVolumeCloneTests:
def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_id):
"""Verify that data written to a volume is intact and available on a clone of that volume"""
<|body_0|>
def ddtest_create_larger_clone_of_volu... | stack_v2_sparse_classes_75kplus_train_009030 | 5,836 | permissive | [
{
"docstring": "Verify that data written to a volume is intact and available on a clone of that volume",
"name": "ddtest_create_exact_clone_of_existing_volume_and_verify_attributes",
"signature": "def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_... | 2 | stack_v2_sparse_classes_30k_train_009473 | Implement the Python class `CBSVolumeCloneTests` described below.
Class description:
Implement the CBSVolumeCloneTests class.
Method signatures and docstrings:
- def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_id): Verify that data written to a volume is inta... | Implement the Python class `CBSVolumeCloneTests` described below.
Class description:
Implement the CBSVolumeCloneTests class.
Method signatures and docstrings:
- def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_id): Verify that data written to a volume is inta... | 30f0e64672676c3f90b4a582fe90fac6621475b3 | <|skeleton|>
class CBSVolumeCloneTests:
def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_id):
"""Verify that data written to a volume is intact and available on a clone of that volume"""
<|body_0|>
def ddtest_create_larger_clone_of_volu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CBSVolumeCloneTests:
def ddtest_create_exact_clone_of_existing_volume_and_verify_attributes(self, volume_type_name, volume_type_id):
"""Verify that data written to a volume is intact and available on a clone of that volume"""
metadata = {'OriginalVolumeMetadataKey': 'OriginalVolumeMetadataValu... | the_stack_v2_python_sparse | cloudroast/blockstorage/volumes_api/volumes/volume_cloning_tests.py | RULCSoft/cloudroast | train | 1 | |
bf56b178a5c82b65e0519ea771434e94be849dc9 | [
"if isinstance(key, int):\n return HandoverInitiateStatus(key)\nif key not in HandoverInitiateStatus._member_map_:\n extend_enum(HandoverInitiateStatus, key, default)\nreturn HandoverInitiateStatus[key]",
"if not (isinstance(value, int) and 0 <= value <= 255):\n raise ValueError('%r is not a valid %s' % ... | <|body_start_0|>
if isinstance(key, int):
return HandoverInitiateStatus(key)
if key not in HandoverInitiateStatus._member_map_:
extend_enum(HandoverInitiateStatus, key, default)
return HandoverInitiateStatus[key]
<|end_body_0|>
<|body_start_1|>
if not (isinstance... | [HandoverInitiateStatus] Handover Initiate Status Codes | HandoverInitiateStatus | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HandoverInitiateStatus:
"""[HandoverInitiateStatus] Handover Initiate Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found."""
<|b... | stack_v2_sparse_classes_75kplus_train_009031 | 2,116 | permissive | [
{
"docstring": "Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found.",
"name": "get",
"signature": "def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus'"
},
{
"docstring": "Lookup function used when value is not found. Arg... | 2 | null | Implement the Python class `HandoverInitiateStatus` described below.
Class description:
[HandoverInitiateStatus] Handover Initiate Status Codes
Method signatures and docstrings:
- def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus': Backport support for original codes. Args: key: Key to get enum ... | Implement the Python class `HandoverInitiateStatus` described below.
Class description:
[HandoverInitiateStatus] Handover Initiate Status Codes
Method signatures and docstrings:
- def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus': Backport support for original codes. Args: key: Key to get enum ... | a6fe49ec58f09e105bec5a00fb66d9b3f22730d9 | <|skeleton|>
class HandoverInitiateStatus:
"""[HandoverInitiateStatus] Handover Initiate Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found."""
<|b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HandoverInitiateStatus:
"""[HandoverInitiateStatus] Handover Initiate Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'HandoverInitiateStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found."""
if isinstance(ke... | the_stack_v2_python_sparse | pcapkit/const/mh/handover_initiate_status.py | JarryShaw/PyPCAPKit | train | 204 |
8d0093af25d59126094c8cd6bf23d5ff4e86296a | [
"self.pin = gpio_pin\nself.pi = pi\nself.speed = 0",
"self.speed = speed\nif speed > MAX_SPEED:\n speed -= MAX_SPEED\n speed *= -1\npwm_speed = speed * CENTER_PWM_RANGE / MAX_SPEED + CENTER_PWM_VALUE\nself.pi.set_servo_pulsewidth(self.pin, pwm_speed)",
"self.set_speed(MAX_SPEED / 6)\ntime.sleep(1)\nself.s... | <|body_start_0|>
self.pin = gpio_pin
self.pi = pi
self.speed = 0
<|end_body_0|>
<|body_start_1|>
self.speed = speed
if speed > MAX_SPEED:
speed -= MAX_SPEED
speed *= -1
pwm_speed = speed * CENTER_PWM_RANGE / MAX_SPEED + CENTER_PWM_VALUE
se... | Motor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Motor:
def __init__(self, gpio_pin, pi):
"""Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object"""
<|body_0|>
def set_speed(self, speed):
"""Sets the speed of the motor. speed: double value specifying the ... | stack_v2_sparse_classes_75kplus_train_009032 | 1,357 | no_license | [
{
"docstring": "Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object",
"name": "__init__",
"signature": "def __init__(self, gpio_pin, pi)"
},
{
"docstring": "Sets the speed of the motor. speed: double value specifying the speed that th... | 3 | stack_v2_sparse_classes_30k_train_016802 | Implement the Python class `Motor` described below.
Class description:
Implement the Motor class.
Method signatures and docstrings:
- def __init__(self, gpio_pin, pi): Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object
- def set_speed(self, speed): Sets t... | Implement the Python class `Motor` described below.
Class description:
Implement the Motor class.
Method signatures and docstrings:
- def __init__(self, gpio_pin, pi): Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object
- def set_speed(self, speed): Sets t... | 43ee81e5e766068f58da47b1250dcd79b5fbab7b | <|skeleton|>
class Motor:
def __init__(self, gpio_pin, pi):
"""Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object"""
<|body_0|>
def set_speed(self, speed):
"""Sets the speed of the motor. speed: double value specifying the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Motor:
def __init__(self, gpio_pin, pi):
"""Instantiate a motor. gpio_pin: Pin on Raspberry Pi that this motor is connected to.i pi: Raspberry Pi GPIO object"""
self.pin = gpio_pin
self.pi = pi
self.speed = 0
def set_speed(self, speed):
"""Sets the speed of the mot... | the_stack_v2_python_sparse | auv/api/motor.py | Yonder-Deep/Origin | train | 0 | |
39641c5bb9bdbcec5e2f12438ccd960298c77dc5 | [
"from m3gnet.models import M3GNet\nif model_path:\n self.describer_model = M3GNet.from_dir(model_path)\nelse:\n self.describer_model = M3GNet.from_dir(DEFAULT_MODEL)\nself.model_path = model_path\nsuper().__init__(**kwargs)",
"from m3gnet.graph import Index, tf_compute_distance_angle\nfrom m3gnet.layers imp... | <|body_start_0|>
from m3gnet.models import M3GNet
if model_path:
self.describer_model = M3GNet.from_dir(model_path)
else:
self.describer_model = M3GNet.from_dir(DEFAULT_MODEL)
self.model_path = model_path
super().__init__(**kwargs)
<|end_body_0|>
<|body_s... | M3GNetStructure | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class M3GNetStructure:
def __init__(self, model_path: str | None=None, **kwargs):
"""Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation energy model on figshare: https://figshare.com/articles/software/m3gnet_property_model_weights/20099465 P... | stack_v2_sparse_classes_75kplus_train_009033 | 2,220 | permissive | [
{
"docstring": "Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation energy model on figshare: https://figshare.com/articles/software/m3gnet_property_model_weights/20099465 Please refer to the M3GNet paper: https://doi.org/10.1038/s43588-022-00349-3.",
"nam... | 2 | stack_v2_sparse_classes_30k_train_012195 | Implement the Python class `M3GNetStructure` described below.
Class description:
Implement the M3GNetStructure class.
Method signatures and docstrings:
- def __init__(self, model_path: str | None=None, **kwargs): Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation e... | Implement the Python class `M3GNetStructure` described below.
Class description:
Implement the M3GNetStructure class.
Method signatures and docstrings:
- def __init__(self, model_path: str | None=None, **kwargs): Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation e... | 6ae3c7029b939e1183684358a3ae2fef41053be5 | <|skeleton|>
class M3GNetStructure:
def __init__(self, model_path: str | None=None, **kwargs):
"""Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation energy model on figshare: https://figshare.com/articles/software/m3gnet_property_model_weights/20099465 P... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class M3GNetStructure:
def __init__(self, model_path: str | None=None, **kwargs):
"""Args: model_path (str): m3gnet models path. If no path is provided, the models will be M3GNet formation energy model on figshare: https://figshare.com/articles/software/m3gnet_property_model_weights/20099465 Please refer to... | the_stack_v2_python_sparse | maml/describers/_m3gnet.py | materialsvirtuallab/maml | train | 266 | |
24ff7ba8da85cfe20aa3a230b6977a4b0c8a5858 | [
"n = len(nums)\nself.sum1, temp = ([0 for i in range(n)], 0)\nfor i in range(n):\n temp += nums[i]\n self.sum1[i] = temp",
"if i - 1 >= 0:\n return self.sum1[j] - self.sum1[i - 1]\nreturn self.sum1[j]"
] | <|body_start_0|>
n = len(nums)
self.sum1, temp = ([0 for i in range(n)], 0)
for i in range(n):
temp += nums[i]
self.sum1[i] = temp
<|end_body_0|>
<|body_start_1|>
if i - 1 >= 0:
return self.sum1[j] - self.sum1[i - 1]
return self.sum1[j]
<|end_... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(nums)
self.sum1, temp = ([0 for i in range(... | stack_v2_sparse_classes_75kplus_train_009034 | 597 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038271 | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | c7dc709a7a9b83ef85fbc2d0aad7a8829f1035d1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
n = len(nums)
self.sum1, temp = ([0 for i in range(n)], 0)
for i in range(n):
temp += nums[i]
self.sum1[i] = temp
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: ... | the_stack_v2_python_sparse | leetcode303.py | Marco2018/leetcode | train | 0 | |
8d5f1ecbf42f6cc1a97ff8ceb7e70aef366b86c7 | [
"self.all_endpoints_reachable = all_endpoints_reachable\nself.auto_register_target = auto_register_target\nself.auto_registration = auto_registration\nself.bandwidth_limit = bandwidth_limit\nself.cluster_id = cluster_id\nself.cluster_incarnation_id = cluster_incarnation_id\nself.compression_enabled = compression_en... | <|body_start_0|>
self.all_endpoints_reachable = all_endpoints_reachable
self.auto_register_target = auto_register_target
self.auto_registration = auto_registration
self.bandwidth_limit = bandwidth_limit
self.cluster_id = cluster_id
self.cluster_incarnation_id = cluster_in... | Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node) on the remote Cluster is reachable from this local Cluster. If true, a service running ... | RegisterRemoteCluster | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegisterRemoteCluster:
"""Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node) on the remote Cluster is reachable fro... | stack_v2_sparse_classes_75kplus_train_009035 | 10,649 | permissive | [
{
"docstring": "Constructor for the RegisterRemoteCluster class",
"name": "__init__",
"signature": "def __init__(self, all_endpoints_reachable=None, auto_register_target=None, auto_registration=None, bandwidth_limit=None, cluster_id=None, cluster_incarnation_id=None, compression_enabled=None, descriptio... | 2 | stack_v2_sparse_classes_30k_test_002145 | Implement the Python class `RegisterRemoteCluster` described below.
Class description:
Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node)... | Implement the Python class `RegisterRemoteCluster` described below.
Class description:
Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node)... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class RegisterRemoteCluster:
"""Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node) on the remote Cluster is reachable fro... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RegisterRemoteCluster:
"""Implementation of the 'RegisterRemoteCluster' model. Specifies the settings required for registering a remote Cluster on this local Cluster. Attributes: all_endpoints_reachable (bool): Specifies whether any endpoint (such as a Node) on the remote Cluster is reachable from this local ... | the_stack_v2_python_sparse | cohesity_management_sdk/models/register_remote_cluster.py | cohesity/management-sdk-python | train | 24 |
2949e51fec5fd32e3ab9a9417dccb84f67bb43da | [
"super(mpich, self).__init__(**kwargs)\nself.__baseurl = kwargs.pop('baseurl', 'https://www.mpich.org/static/downloads')\nself.__check = kwargs.pop('check', False)\nself.__configure_opts = kwargs.pop('configure_opts', [])\nself.__ospackages = kwargs.pop('ospackages', [])\nself.__prefix = kwargs.pop('prefix', '/usr/... | <|body_start_0|>
super(mpich, self).__init__(**kwargs)
self.__baseurl = kwargs.pop('baseurl', 'https://www.mpich.org/static/downloads')
self.__check = kwargs.pop('check', False)
self.__configure_opts = kwargs.pop('configure_opts', [])
self.__ospackages = kwargs.pop('ospackages', ... | The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build using the MPI compiler wrappers. # Parameters annotate: Boolean flag to s... | mpich | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class mpich:
"""The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build using the MPI compiler wrappers. # Param... | stack_v2_sparse_classes_75kplus_train_009036 | 8,511 | permissive | [
{
"docstring": "Initialize building block",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Setup configure options based on user parameters",
"name": "__configure",
"signature": "def __configure(self)"
},
{
"docstring": "Based on the Linux dist... | 4 | stack_v2_sparse_classes_30k_train_036883 | Implement the Python class `mpich` described below.
Class description:
The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build u... | Implement the Python class `mpich` described below.
Class description:
The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build u... | 60fd2a51c171258a6b3f93c2523101cb7018ba1b | <|skeleton|>
class mpich:
"""The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build using the MPI compiler wrappers. # Param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class mpich:
"""The `mpich` building block configures, builds, and installs the [MPICH](https://www.mpich.org) component. As a side effect, a toolchain is created containing the MPI compiler wrappers. The tool can be passed to other operations that want to build using the MPI compiler wrappers. # Parameters annotat... | the_stack_v2_python_sparse | hpccm/building_blocks/mpich.py | NVIDIA/hpc-container-maker | train | 419 |
394f68f04a5f20dfb234e3c441f9a6b71924fa56 | [
"super(FunctionComponent, self).__init__(opts)\nself.res_options = opts.get('resilient', {})\nself.options = opts.get('pagerduty', {})\nvalidate_fields(['api_token', 'from_email'], self.options)\nself.log = logging.getLogger(__name__)",
"self.res_options = opts.get('resilient', {})\nself.options = opts.get('pager... | <|body_start_0|>
super(FunctionComponent, self).__init__(opts)
self.res_options = opts.get('resilient', {})
self.options = opts.get('pagerduty', {})
validate_fields(['api_token', 'from_email'], self.options)
self.log = logging.getLogger(__name__)
<|end_body_0|>
<|body_start_1|>
... | Component that implements Resilient function 'pagerduty_create_note | FunctionComponent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_create_note"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
<|body_0|>
def _reload(self, event, opts):
"""Configuration options have changed,... | stack_v2_sparse_classes_75kplus_train_009037 | 2,515 | permissive | [
{
"docstring": "constructor provides access to the configuration options",
"name": "__init__",
"signature": "def __init__(self, opts)"
},
{
"docstring": "Configuration options have changed, save new values",
"name": "_reload",
"signature": "def _reload(self, event, opts)"
},
{
"d... | 4 | stack_v2_sparse_classes_30k_train_015519 | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'pagerduty_create_note
Method signatures and docstrings:
- def __init__(self, opts): constructor provides access to the configuration options
- def _reload(self, event, opts): Configuration ... | Implement the Python class `FunctionComponent` described below.
Class description:
Component that implements Resilient function 'pagerduty_create_note
Method signatures and docstrings:
- def __init__(self, opts): constructor provides access to the configuration options
- def _reload(self, event, opts): Configuration ... | 6878c78b94eeca407998a41ce8db2cc00f2b6758 | <|skeleton|>
class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_create_note"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
<|body_0|>
def _reload(self, event, opts):
"""Configuration options have changed,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FunctionComponent:
"""Component that implements Resilient function 'pagerduty_create_note"""
def __init__(self, opts):
"""constructor provides access to the configuration options"""
super(FunctionComponent, self).__init__(opts)
self.res_options = opts.get('resilient', {})
... | the_stack_v2_python_sparse | fn_pagerduty/fn_pagerduty/components/funct_pagerduty_create_note.py | ibmresilient/resilient-community-apps | train | 81 |
8df110d9126df23287bf1fb6503f980523bb6d74 | [
"word_map = dict()\nword_list = []\nfor i in range(len(order)):\n word_map[i] = order[i]\nfor word in words:\n letter_to_num = []\n for l in word:\n letter_to_num.append(list(word_map.keys())[list(word_map.values()).index(l)])\n word_list.append(letter_to_num)\nif word_list == sorted(word_list):\... | <|body_start_0|>
word_map = dict()
word_list = []
for i in range(len(order)):
word_map[i] = order[i]
for word in words:
letter_to_num = []
for l in word:
letter_to_num.append(list(word_map.keys())[list(word_map.values()).index(l)])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isAlienSorted_naive(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_0|>
def isAlienSorted_ans(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_75kplus_train_009038 | 1,408 | no_license | [
{
"docstring": ":type words: List[str] :type order: str :rtype: bool",
"name": "isAlienSorted_naive",
"signature": "def isAlienSorted_naive(self, words, order)"
},
{
"docstring": ":type words: List[str] :type order: str :rtype: bool",
"name": "isAlienSorted_ans",
"signature": "def isAlie... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isAlienSorted_naive(self, words, order): :type words: List[str] :type order: str :rtype: bool
- def isAlienSorted_ans(self, words, order): :type words: List[str] :type order:... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isAlienSorted_naive(self, words, order): :type words: List[str] :type order: str :rtype: bool
- def isAlienSorted_ans(self, words, order): :type words: List[str] :type order:... | 11d68f96c5a5689c141ee6395d1f453dfd3d5aeb | <|skeleton|>
class Solution:
def isAlienSorted_naive(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_0|>
def isAlienSorted_ans(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isAlienSorted_naive(self, words, order):
""":type words: List[str] :type order: str :rtype: bool"""
word_map = dict()
word_list = []
for i in range(len(order)):
word_map[i] = order[i]
for word in words:
letter_to_num = []
... | the_stack_v2_python_sparse | Leetcode/Python/0953_Verifying_an_Alien_Dictionary.py | Modrisco/OJ-questions | train | 2 | |
675b60e927436b88eb72de5809c2ee400b92c27d | [
"request = None\nif self.context is not None and 'request' in self.context:\n request = self.context['request']\nif request is not None and (not request.user.is_anonymous):\n obj = mpmodels.Channel.objects.create_for_user(request.user, **validated_data)\nelse:\n obj = mpmodels.Channel.objects.create(**vali... | <|body_start_0|>
request = None
if self.context is not None and 'request' in self.context:
request = self.context['request']
if request is not None and (not request.user.is_anonymous):
obj = mpmodels.Channel.objects.create_for_user(request.user, **validated_data)
... | An individual channel. | ChannelSerializer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChannelSerializer:
"""An individual channel."""
def create(self, validated_data):
"""Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request user edit and view permissions on the item."""
<|b... | stack_v2_sparse_classes_75kplus_train_009039 | 15,251 | permissive | [
{
"docstring": "Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request user edit and view permissions on the item.",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Override... | 2 | stack_v2_sparse_classes_30k_train_003228 | Implement the Python class `ChannelSerializer` described below.
Class description:
An individual channel.
Method signatures and docstrings:
- def create(self, validated_data): Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request u... | Implement the Python class `ChannelSerializer` described below.
Class description:
An individual channel.
Method signatures and docstrings:
- def create(self, validated_data): Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request u... | 731bdd524c0a3b618586fea41aecca2a94486385 | <|skeleton|>
class ChannelSerializer:
"""An individual channel."""
def create(self, validated_data):
"""Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request user edit and view permissions on the item."""
<|b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChannelSerializer:
"""An individual channel."""
def create(self, validated_data):
"""Override behaviour when creating a new object using this serializer. If the current request is being passed in the context, give the request user edit and view permissions on the item."""
request = None
... | the_stack_v2_python_sparse | api/serializers.py | uisautomation/media-webapp | train | 5 |
e6f926167837f772ace7305112339a0a384fe1b9 | [
"res = ReconResource.query.get_or_404(id)\nargs = upload_parser.parse_args()\ntry:\n res.set_content(args['file'])\n from app.tasks import task_build_thumbnail\n task_build_thumbnail.delay(id)\n return ('Resource content successfully uploaded.', 204)\nexcept ValueExist as e:\n abort(409, error=str(e)... | <|body_start_0|>
res = ReconResource.query.get_or_404(id)
args = upload_parser.parse_args()
try:
res.set_content(args['file'])
from app.tasks import task_build_thumbnail
task_build_thumbnail.delay(id)
return ('Resource content successfully uploaded... | ContentResourceItem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContentResourceItem:
def post(self, id):
"""Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error"""
<|body_0|>
def get(self, id):
"""Get Resource content 200 Success 404 Resource not found 400 Resource have no content... | stack_v2_sparse_classes_75kplus_train_009040 | 5,113 | no_license | [
{
"docstring": "Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error",
"name": "post",
"signature": "def post(self, id)"
},
{
"docstring": "Get Resource content 200 Success 404 Resource not found 400 Resource have no content :param id: Resoure un... | 3 | stack_v2_sparse_classes_30k_train_015698 | Implement the Python class `ContentResourceItem` described below.
Class description:
Implement the ContentResourceItem class.
Method signatures and docstrings:
- def post(self, id): Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error
- def get(self, id): Get Resource... | Implement the Python class `ContentResourceItem` described below.
Class description:
Implement the ContentResourceItem class.
Method signatures and docstrings:
- def post(self, id): Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error
- def get(self, id): Get Resource... | e748e9ce9bd40018389a6154aeba2d0c3c77430f | <|skeleton|>
class ContentResourceItem:
def post(self, id):
"""Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error"""
<|body_0|>
def get(self, id):
"""Get Resource content 200 Success 404 Resource not found 400 Resource have no content... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContentResourceItem:
def post(self, id):
"""Set Resource content 200 Success 404 Resource not found 409 Content already exist 400 Validation error"""
res = ReconResource.query.get_or_404(id)
args = upload_parser.parse_args()
try:
res.set_content(args['file'])
... | the_stack_v2_python_sparse | app/api/endpoints/Resources.py | averdier/elittoral_api | train | 0 | |
d87574e09b5d6209a73863ef4e1280e6ea6dd87c | [
"self.size = size\nself.q = collections.deque()\nself.total = 0",
"if len(self.q) == self.size:\n self.total -= self.q.popleft()\nself.q.append(val)\nself.total += val\nreturn self.total / len(self.q)"
] | <|body_start_0|>
self.size = size
self.q = collections.deque()
self.total = 0
<|end_body_0|>
<|body_start_1|>
if len(self.q) == self.size:
self.total -= self.q.popleft()
self.q.append(val)
self.total += val
return self.total / len(self.q)
<|end_body_1... | MovingAverage2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovingAverage2:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.size = size
self.q = co... | stack_v2_sparse_classes_75kplus_train_009041 | 2,826 | no_license | [
{
"docstring": "Initialize your data structure here. :type size: int",
"name": "__init__",
"signature": "def __init__(self, size)"
},
{
"docstring": ":type val: int :rtype: float",
"name": "next",
"signature": "def next(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_train_054366 | Implement the Python class `MovingAverage2` described below.
Class description:
Implement the MovingAverage2 class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float | Implement the Python class `MovingAverage2` described below.
Class description:
Implement the MovingAverage2 class.
Method signatures and docstrings:
- def __init__(self, size): Initialize your data structure here. :type size: int
- def next(self, val): :type val: int :rtype: float
<|skeleton|>
class MovingAverage2:... | 2ffe01713a12090848ed9b75457bf9ee156db84b | <|skeleton|>
class MovingAverage2:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
<|body_0|>
def next(self, val):
""":type val: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MovingAverage2:
def __init__(self, size):
"""Initialize your data structure here. :type size: int"""
self.size = size
self.q = collections.deque()
self.total = 0
def next(self, val):
""":type val: int :rtype: float"""
if len(self.q) == self.size:
... | the_stack_v2_python_sparse | array/Q346_movingAverage.py | liangming168/leetcode | train | 0 | |
c0296f9f9c855fc4b5c0e53fbbb615c4111fd2af | [
"self.hand = []\nself.hand_value = 0\nself.playing_hand = True",
"for i in range(2):\n card = deck.deal_card()\n self.hand.append(card)",
"input(\"\\nPress enter to reveal the dealer's hand. \")\nfor card in self.hand:\n card.display_card()\n time.sleep(1)",
"self.get_hand_value()\nwhile self.hand... | <|body_start_0|>
self.hand = []
self.hand_value = 0
self.playing_hand = True
<|end_body_0|>
<|body_start_1|>
for i in range(2):
card = deck.deal_card()
self.hand.append(card)
<|end_body_1|>
<|body_start_2|>
input("\nPress enter to reveal the dealer's han... | A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card. | Dealer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dealer:
"""A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card."""
def __init__(self):
"""Initialize the dealer"""
<|body_0|>
def draw_hand(self, deck):
"""Deal the dealers starting hand"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_009042 | 9,795 | permissive | [
{
"docstring": "Initialize the dealer",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Deal the dealers starting hand",
"name": "draw_hand",
"signature": "def draw_hand(self, deck)"
},
{
"docstring": "Show the dealers hand one card at a time.",
"name... | 5 | stack_v2_sparse_classes_30k_train_015581 | Implement the Python class `Dealer` described below.
Class description:
A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card.
Method signatures and docstrings:
- def __init__(self): Initialize the dealer
- def draw_hand(self, deck): Deal the dealers starting hand
- de... | Implement the Python class `Dealer` described below.
Class description:
A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card.
Method signatures and docstrings:
- def __init__(self): Initialize the dealer
- def draw_hand(self, deck): Deal the dealers starting hand
- de... | a9f44d20ae212b5cbc190ac49ca7acc638ff4228 | <|skeleton|>
class Dealer:
"""A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card."""
def __init__(self):
"""Initialize the dealer"""
<|body_0|>
def draw_hand(self, deck):
"""Deal the dealers starting hand"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Dealer:
"""A class simulating the black jack dealer. They must hit up to 17 and they must reveal their first card."""
def __init__(self):
"""Initialize the dealer"""
self.hand = []
self.hand_value = 0
self.playing_hand = True
def draw_hand(self, deck):
"""Deal... | the_stack_v2_python_sparse | 9_Classes/challenge_37_code.py | demoanddemo/The-Art-of-Doing-Code-40-Challenging-Python-Programs-Today | train | 0 |
e09e618434940b6c466b5467941e4235e1376b18 | [
"prefixSums = []\nprefixSum = 0\nfor num in nums:\n prefixSum += num\n prefixSums.append(prefixSum)\nself.prefixSums = prefixSums",
"if i < 0 or i + 1 > len(self.prefixSums) or j < 0 or (j + 1 > len(self.prefixSums)):\n return\nif i == 0:\n return self.prefixSums[j]\nelse:\n return self.prefixSums[... | <|body_start_0|>
prefixSums = []
prefixSum = 0
for num in nums:
prefixSum += num
prefixSums.append(prefixSum)
self.prefixSums = prefixSums
<|end_body_0|>
<|body_start_1|>
if i < 0 or i + 1 > len(self.prefixSums) or j < 0 or (j + 1 > len(self.prefixSums)):... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
prefixSums = []
prefixSum = 0
for num in nu... | stack_v2_sparse_classes_75kplus_train_009043 | 854 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | 1bd17e867d1d557a6ebbbd99f693d5fbd9f5b61e | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
prefixSums = []
prefixSum = 0
for num in nums:
prefixSum += num
prefixSums.append(prefixSum)
self.prefixSums = prefixSums
def sumRange(self, i, j):
""":type i: int :type... | the_stack_v2_python_sparse | leetcode/303-range-sum-query-immutable/main.py | shriharshs/AlgoDaily | train | 0 | |
b3e34bb0f5d3e0df7ff4a7d695ae33c4771e2d5f | [
"result = []\nstack = []\nwhile stack or root:\n if root:\n stack.append(root)\n root = root.left\n else:\n root = stack.pop()\n result.append(root.val)\n root = root.right\nreturn result",
"result = []\nif not root:\n return result\nstack = []\nwhile stack or root:\n ... | <|body_start_0|>
result = []
stack = []
while stack or root:
if root:
stack.append(root)
root = root.left
else:
root = stack.pop()
result.append(root.val)
root = root.right
return resu... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def postorderTraversal(self, root):
""":type root: Tree... | stack_v2_sparse_classes_75kplus_train_009044 | 1,927 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "inorderTraversal",
"signature": "def inorderTraversal(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "preorderTraversal",
"signature": "def preorderTraversal(self, root)"
},
{
"doc... | 3 | stack_v2_sparse_classes_30k_train_054577 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def postorderTraversal(self... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def inorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def postorderTraversal(self... | 0584b86642dff667f5bf6b7acfbbce86a41a55b6 | <|skeleton|>
class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_0|>
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def postorderTraversal(self, root):
""":type root: Tree... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def inorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
result = []
stack = []
while stack or root:
if root:
stack.append(root)
root = root.left
else:
root = stack.pop()
... | the_stack_v2_python_sparse | python_solution/091_100/BinaryTreeInorder.py | CescWang1991/LeetCode-Python | train | 1 | |
56e0edf2a488bd2f7278a30c7ccb60ff87c2335c | [
"super().__init__()\nself.in_partitions = in_partitions\nself.in_nodes = in_nodes\nself.out_regions = in_partitions\nself.out_nodes = out_nodes\nself.dropout = dropout\nself.weight = nn.Parameter(torch.empty(self.out_regions, self.out_nodes, self.in_nodes), requires_grad=True)\ndirichlet_(self.weight, alpha=1.0)",
... | <|body_start_0|>
super().__init__()
self.in_partitions = in_partitions
self.in_nodes = in_nodes
self.out_regions = in_partitions
self.out_nodes = out_nodes
self.dropout = dropout
self.weight = nn.Parameter(torch.empty(self.out_regions, self.out_nodes, self.in_node... | SumLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SumLayer:
def __init__(self, in_partitions: int, in_nodes: int, out_nodes: int, dropout: Optional[float]=None):
"""Initialize the sum layer. :param in_partitions: The number of input partitions. :param in_nodes: The number of input nodes per partition. :param out_nodes: The number of out... | stack_v2_sparse_classes_75kplus_train_009045 | 18,020 | permissive | [
{
"docstring": "Initialize the sum layer. :param in_partitions: The number of input partitions. :param in_nodes: The number of input nodes per partition. :param out_nodes: The number of output nodes per region. :param dropout: The input nodes dropout rate. It can be None.",
"name": "__init__",
"signatur... | 4 | stack_v2_sparse_classes_30k_train_031297 | Implement the Python class `SumLayer` described below.
Class description:
Implement the SumLayer class.
Method signatures and docstrings:
- def __init__(self, in_partitions: int, in_nodes: int, out_nodes: int, dropout: Optional[float]=None): Initialize the sum layer. :param in_partitions: The number of input partitio... | Implement the Python class `SumLayer` described below.
Class description:
Implement the SumLayer class.
Method signatures and docstrings:
- def __init__(self, in_partitions: int, in_nodes: int, out_nodes: int, dropout: Optional[float]=None): Initialize the sum layer. :param in_partitions: The number of input partitio... | 76094fb627e97867542ba2be1292a070028dbfdd | <|skeleton|>
class SumLayer:
def __init__(self, in_partitions: int, in_nodes: int, out_nodes: int, dropout: Optional[float]=None):
"""Initialize the sum layer. :param in_partitions: The number of input partitions. :param in_nodes: The number of input nodes per partition. :param out_nodes: The number of out... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SumLayer:
def __init__(self, in_partitions: int, in_nodes: int, out_nodes: int, dropout: Optional[float]=None):
"""Initialize the sum layer. :param in_partitions: The number of input partitions. :param in_nodes: The number of input nodes per partition. :param out_nodes: The number of output nodes per ... | the_stack_v2_python_sparse | deeprob/spn/layers/ratspn.py | deeprob-org/deeprob-kit | train | 66 | |
9ec9848a4f2d096c3005121aeb36f422238704f2 | [
"if any((mod == Modification.a for p, mod in monosaccharide.modifications.items())):\n return self.resolve_acid_color(monosaccharide)\nif 'hex' in [monosaccharide.superclass]:\n if any((mod == Modification.d for p, mod in monosaccharide.modifications.items())) and monosaccharide.stem == (Stem.gal,):\n ... | <|body_start_0|>
if any((mod == Modification.a for p, mod in monosaccharide.modifications.items())):
return self.resolve_acid_color(monosaccharide)
if 'hex' in [monosaccharide.superclass]:
if any((mod == Modification.d for p, mod in monosaccharide.modifications.items())) and mono... | SNFGNomenclature | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SNFGNomenclature:
def residue_color(self, monosaccharide):
"""Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monosaccharide: |Monosaccharide| The residue to be rendered Returns ------- ResidueColor.EnumValue"""
... | stack_v2_sparse_classes_75kplus_train_009046 | 2,963 | permissive | [
{
"docstring": "Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monosaccharide: |Monosaccharide| The residue to be rendered Returns ------- ResidueColor.EnumValue",
"name": "residue_color",
"signature": "def residue_color(self, monosacc... | 2 | stack_v2_sparse_classes_30k_train_034468 | Implement the Python class `SNFGNomenclature` described below.
Class description:
Implement the SNFGNomenclature class.
Method signatures and docstrings:
- def residue_color(self, monosaccharide): Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monos... | Implement the Python class `SNFGNomenclature` described below.
Class description:
Implement the SNFGNomenclature class.
Method signatures and docstrings:
- def residue_color(self, monosaccharide): Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monos... | 35a2e9baf6248abd3d3737d8528b3f9463e6cff3 | <|skeleton|>
class SNFGNomenclature:
def residue_color(self, monosaccharide):
"""Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monosaccharide: |Monosaccharide| The residue to be rendered Returns ------- ResidueColor.EnumValue"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SNFGNomenclature:
def residue_color(self, monosaccharide):
"""Determine which color to use to represent `monosaccharide` under the CFG symbol nomenclature. Parameters ---------- monosaccharide: |Monosaccharide| The residue to be rendered Returns ------- ResidueColor.EnumValue"""
if any((mod ==... | the_stack_v2_python_sparse | src/glypy/plot/snfg_symbols.py | mobiusklein/glypy | train | 20 | |
3e601976403ceac10bef638c213c0148ab34bc1c | [
"super().__init__(input_shape, filters, kernel_size, stride, dilation, groups, bias)\nif isinstance(padding, (*INT_TYPES, *FLOAT_TYPES)):\n self.padding_mode = 'constant'\n self._padding_value = padding\nelse:\n self.padding_mode = padding\n self._padding_value = 0.0\nif self.padding_mode == 'valid' or ... | <|body_start_0|>
super().__init__(input_shape, filters, kernel_size, stride, dilation, groups, bias)
if isinstance(padding, (*INT_TYPES, *FLOAT_TYPES)):
self.padding_mode = 'constant'
self._padding_value = padding
else:
self.padding_mode = padding
... | Conv | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv:
def __init__(self, input_shape, filters, kernel_size=3, stride=1, dilation=1, groups=1, padding='constant', bias=False):
"""Direct convolution layer generalized for different dims. This layer slightly extends functionality of original torch.nn.Conv* modules in four main aspects: 1)... | stack_v2_sparse_classes_75kplus_train_009047 | 13,566 | no_license | [
{
"docstring": "Direct convolution layer generalized for different dims. This layer slightly extends functionality of original torch.nn.Conv* modules in four main aspects: 1) Shape of the input tensor is passed as argument of constructor. 2) Shape of the output tensor can be accessed by 'output_shape' property ... | 3 | stack_v2_sparse_classes_30k_train_013806 | Implement the Python class `Conv` described below.
Class description:
Implement the Conv class.
Method signatures and docstrings:
- def __init__(self, input_shape, filters, kernel_size=3, stride=1, dilation=1, groups=1, padding='constant', bias=False): Direct convolution layer generalized for different dims. This lay... | Implement the Python class `Conv` described below.
Class description:
Implement the Conv class.
Method signatures and docstrings:
- def __init__(self, input_shape, filters, kernel_size=3, stride=1, dilation=1, groups=1, padding='constant', bias=False): Direct convolution layer generalized for different dims. This lay... | 9554e0f96703a37a9a41fc70dc8e70e45c6181a2 | <|skeleton|>
class Conv:
def __init__(self, input_shape, filters, kernel_size=3, stride=1, dilation=1, groups=1, padding='constant', bias=False):
"""Direct convolution layer generalized for different dims. This layer slightly extends functionality of original torch.nn.Conv* modules in four main aspects: 1)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Conv:
def __init__(self, input_shape, filters, kernel_size=3, stride=1, dilation=1, groups=1, padding='constant', bias=False):
"""Direct convolution layer generalized for different dims. This layer slightly extends functionality of original torch.nn.Conv* modules in four main aspects: 1) Shape of the ... | the_stack_v2_python_sparse | dnn_backend/radio_dep/models/models/pytorch/layers/conv.py | theVmagnificient/radiology_web | train | 0 | |
eb4dd50ccbfa23aed0d9fd314c69857441c95c48 | [
"super().__init__(mean, cov_chol_flat)\nself._mean_is_parameter = mean_is_parameter\nself._cov_is_parameter = cov_is_parameter",
"if not len(stacked.shape) == 1:\n raise pyrado.ValueErr(msg='Stacked has invalid shape! Must be 1-dimensional.')\nexpected_dim_multiplier = 0\nif self._mean_is_parameter:\n expec... | <|body_start_0|>
super().__init__(mean, cov_chol_flat)
self._mean_is_parameter = mean_is_parameter
self._cov_is_parameter = cov_is_parameter
<|end_body_0|>
<|body_start_1|>
if not len(stacked.shape) == 1:
raise pyrado.ValueErr(msg='Stacked has invalid shape! Must be 1-dimens... | Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while keeping the other fixed. | ParameterAgnosticMultivariateNormalWrapper | [
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParameterAgnosticMultivariateNormalWrapper:
"""Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while keeping the other fixed."""
def __ini... | stack_v2_sparse_classes_75kplus_train_009048 | 26,918 | permissive | [
{
"docstring": "Constructor. :param mean: mean of the distribution; shape `(k,)` :param cov_chol_flat: standard deviations of the distribution; shape `(k,)` :param mean_is_parameter: if `True`, the mean is treated as a parameter and returned from `get_stacked` and similar methods. :param cov_is_parameter: if `T... | 4 | null | Implement the Python class `ParameterAgnosticMultivariateNormalWrapper` described below.
Class description:
Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while kee... | Implement the Python class `ParameterAgnosticMultivariateNormalWrapper` described below.
Class description:
Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while kee... | d7e9cd191ccb318d5f1e580babc2fc38b5b3675a | <|skeleton|>
class ParameterAgnosticMultivariateNormalWrapper:
"""Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while keeping the other fixed."""
def __ini... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParameterAgnosticMultivariateNormalWrapper:
"""Version of the `MultivariateNormalWrapper` that is able to exclude either the mean of the covariance from the parameters and the stacking. This can be readily used for optimizing the mean or covariance while keeping the other fixed."""
def __init__(self, mea... | the_stack_v2_python_sparse | Pyrado/pyrado/algorithms/meta/sprl.py | 1abner1/SimuRLacra | train | 0 |
76636a1200484ae7d2ef3113785f4f033cdaf370 | [
"links = response.xpath('//a[@class=\"product-title-link\"]/@href').extract()\nfor link in links:\n yield response.follow('https://www.labirint.ru' + link, callback=self.parse_item)\nnext_page = response.xpath('//a[@class=\"pagination-next__text\"]/@href').extract_first()\nif next_page:\n yield response.follo... | <|body_start_0|>
links = response.xpath('//a[@class="product-title-link"]/@href').extract()
for link in links:
yield response.follow('https://www.labirint.ru' + link, callback=self.parse_item)
next_page = response.xpath('//a[@class="pagination-next__text"]/@href').extract_first()
... | Labirint.ru spider. | LabirintruSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LabirintruSpider:
"""Labirint.ru spider."""
def parse(self, response):
"""Novelty page parser."""
<|body_0|>
def parse_item(self, response: HtmlResponse):
"""Book item parser."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
links = response.xpat... | stack_v2_sparse_classes_75kplus_train_009049 | 1,756 | no_license | [
{
"docstring": "Novelty page parser.",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "Book item parser.",
"name": "parse_item",
"signature": "def parse_item(self, response: HtmlResponse)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000145 | Implement the Python class `LabirintruSpider` described below.
Class description:
Labirint.ru spider.
Method signatures and docstrings:
- def parse(self, response): Novelty page parser.
- def parse_item(self, response: HtmlResponse): Book item parser. | Implement the Python class `LabirintruSpider` described below.
Class description:
Labirint.ru spider.
Method signatures and docstrings:
- def parse(self, response): Novelty page parser.
- def parse_item(self, response: HtmlResponse): Book item parser.
<|skeleton|>
class LabirintruSpider:
"""Labirint.ru spider.""... | 69488f0e788578722bf4f1cf171508f1e5624145 | <|skeleton|>
class LabirintruSpider:
"""Labirint.ru spider."""
def parse(self, response):
"""Novelty page parser."""
<|body_0|>
def parse_item(self, response: HtmlResponse):
"""Book item parser."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LabirintruSpider:
"""Labirint.ru spider."""
def parse(self, response):
"""Novelty page parser."""
links = response.xpath('//a[@class="product-title-link"]/@href').extract()
for link in links:
yield response.follow('https://www.labirint.ru' + link, callback=self.parse_i... | the_stack_v2_python_sparse | lesson_6/bookparser/spiders/labirintru.py | IInvasion/collecting_and_processing_web_data | train | 0 |
404d5af4f1bbae50ed525e30e2864011f3c4a614 | [
"self.input_coords = np.array([0.0572, -0.0592, 5.1083]) * 1000.0\nself.coords = np.array([[0.0572, -0.0592, 5.1083], [0.0578, -0.0591, 5.0993], [0.0586, -0.0585, 5.0861]]) * 1000.0\nself.long = 4\nself.lat = 2\nself.phi = 0.1\nself.no_pv = 0\nself.yes_pv = 1",
"print('Testing that covarxy_pv returns 1 dimensiona... | <|body_start_0|>
self.input_coords = np.array([0.0572, -0.0592, 5.1083]) * 1000.0
self.coords = np.array([[0.0572, -0.0592, 5.1083], [0.0578, -0.0591, 5.0993], [0.0586, -0.0585, 5.0861]]) * 1000.0
self.long = 4
self.lat = 2
self.phi = 0.1
self.no_pv = 0
self.yes_p... | Test cases for covarxy_pv function | MyTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTestCase:
"""Test cases for covarxy_pv function"""
def setUp(self):
"""Set up for test :return: Nothing"""
<|body_0|>
def test_return_shape(self):
"""Check that the returned covariance matrix is the correct size :return: Nothing"""
<|body_1|>
def t... | stack_v2_sparse_classes_75kplus_train_009050 | 3,091 | no_license | [
{
"docstring": "Set up for test :return: Nothing",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Check that the returned covariance matrix is the correct size :return: Nothing",
"name": "test_return_shape",
"signature": "def test_return_shape(self)"
},
{
"doc... | 5 | stack_v2_sparse_classes_30k_train_049852 | Implement the Python class `MyTestCase` described below.
Class description:
Test cases for covarxy_pv function
Method signatures and docstrings:
- def setUp(self): Set up for test :return: Nothing
- def test_return_shape(self): Check that the returned covariance matrix is the correct size :return: Nothing
- def test_... | Implement the Python class `MyTestCase` described below.
Class description:
Test cases for covarxy_pv function
Method signatures and docstrings:
- def setUp(self): Set up for test :return: Nothing
- def test_return_shape(self): Check that the returned covariance matrix is the correct size :return: Nothing
- def test_... | 3944e9783d58422d2d10bbc95f9706e168550034 | <|skeleton|>
class MyTestCase:
"""Test cases for covarxy_pv function"""
def setUp(self):
"""Set up for test :return: Nothing"""
<|body_0|>
def test_return_shape(self):
"""Check that the returned covariance matrix is the correct size :return: Nothing"""
<|body_1|>
def t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MyTestCase:
"""Test cases for covarxy_pv function"""
def setUp(self):
"""Set up for test :return: Nothing"""
self.input_coords = np.array([0.0572, -0.0592, 5.1083]) * 1000.0
self.coords = np.array([[0.0572, -0.0592, 5.1083], [0.0578, -0.0591, 5.0993], [0.0586, -0.0585, 5.0861]]) *... | the_stack_v2_python_sparse | ow_calibration/build_cov/covarxy_pv/covarxy_pv_test.py | gmaze/argodmqc_owc | train | 0 |
455912b33abc587b0bd4ea135ce2da724d12d645 | [
"r = station_diameter / 2\nfor i in range(strings_per_station):\n if i == 0:\n x_str = x\n y_str = y\n else:\n angle = 0 if i == 1 else 2 * np.pi * (i - 1) / (strings_per_station - 1)\n x_str = x + r * np.cos(angle)\n y_str = y + r * np.sin(angle)\n self.subsets.append(st... | <|body_start_0|>
r = station_diameter / 2
for i in range(strings_per_station):
if i == 0:
x_str = x
y_str = y
else:
angle = 0 if i == 1 else 2 * np.pi * (i - 1) / (strings_per_station - 1)
x_str = x + r * np.cos(angl... | Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class. | CoxeterStation | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CoxeterStation:
"""Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class."""
def set_positions(self, x, y, strings_per_station=4, ... | stack_v2_sparse_classes_75kplus_train_009051 | 6,416 | permissive | [
{
"docstring": "Generates string positions around the station.",
"name": "set_positions",
"signature": "def set_positions(self, x, y, strings_per_station=4, station_diameter=50, string_type=IREXString, **string_kwargs)"
},
{
"docstring": "Test whether the number of hit antennas meets the given a... | 2 | stack_v2_sparse_classes_30k_test_000167 | Implement the Python class `CoxeterStation` described below.
Class description:
Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class.
Method signatures and... | Implement the Python class `CoxeterStation` described below.
Class description:
Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class.
Method signatures and... | 80798ec2c4fd2e27f40843e37013765ee6a4e551 | <|skeleton|>
class CoxeterStation:
"""Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class."""
def set_positions(self, x, y, strings_per_station=4, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CoxeterStation:
"""Station geometry with one string at the station center and the rest of the strings evenly spaced radially around the station center. Supports any string type and passes extra keyword arguments on to the string class."""
def set_positions(self, x, y, strings_per_station=4, station_diame... | the_stack_v2_python_sparse | pyrex/custom/irex/detector.py | shrishabh/pyrex | train | 0 |
6321777bb9c200b5223e44f69f8cf50dbcb2cd43 | [
"self.params = {}\nself.reg = reg\nself.dtype = dtype\nC, H, W = input_dim\nself.params['W1'] = np.random.normal(0, weight_scale, (num_filters, C, filter_size, filter_size))\nself.params['W2'] = np.random.normal(0, weight_scale, (num_filters * int(H / 2) * int(W / 2), hidden_dim))\nself.params['W3'] = np.random.nor... | <|body_start_0|>
self.params = {}
self.reg = reg
self.dtype = dtype
C, H, W = input_dim
self.params['W1'] = np.random.normal(0, weight_scale, (num_filters, C, filter_size, filter_size))
self.params['W2'] = np.random.normal(0, weight_scale, (num_filters * int(H / 2) * int(... | A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each with height H and width W and with C input channels. | ThreeLayerConvNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThreeLayerConvNet:
"""A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each with height H and width W and with C input... | stack_v2_sparse_classes_75kplus_train_009052 | 8,239 | permissive | [
{
"docstring": "Initialize a new network. Inputs: - input_dim: Tuple (C, H, W) giving size of input data - num_filters: Number of filters to use in the convolutional layer - filter_size: Size of filters to use in the convolutional layer - hidden_dim: Number of units to use in the fully-connected hidden layer - ... | 2 | stack_v2_sparse_classes_30k_train_054233 | Implement the Python class `ThreeLayerConvNet` described below.
Class description:
A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each wit... | Implement the Python class `ThreeLayerConvNet` described below.
Class description:
A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each wit... | 930ef4168ffbddbb5e81a782ba1328077a4f2525 | <|skeleton|>
class ThreeLayerConvNet:
"""A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each with height H and width W and with C input... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ThreeLayerConvNet:
"""A three-layer convolutional network with the following architecture: conv - relu - 2x2 max pool - affine - relu - affine - softmax The network operates on minibatches of data that have shape (N, C, H, W) consisting of N images, each with height H and width W and with C input channels."""... | the_stack_v2_python_sparse | practice5/cnn.py | enliktjioe/nn2020 | train | 0 |
ac135bba8131e7843f7456698885b050019d6d76 | [
"token_stream = super(Python35EnamlLexer, self).make_token_stream()\ntoken_stream = self.analyse_async(token_stream)\nreturn token_stream",
"for tok in token_stream:\n if tok.type == 'ASYNC':\n next_token = next(token_stream)\n if next_token.type not in ('DEF', 'WITH', 'FOR', 'NAME'):\n ... | <|body_start_0|>
token_stream = super(Python35EnamlLexer, self).make_token_stream()
token_stream = self.analyse_async(token_stream)
return token_stream
<|end_body_0|>
<|body_start_1|>
for tok in token_stream:
if tok.type == 'ASYNC':
next_token = next(token_st... | Lexer specialized for Python > 3.5. | Python35EnamlLexer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Python35EnamlLexer:
"""Lexer specialized for Python > 3.5."""
def make_token_stream(self):
"""Add analysis of ASYNC/AWAIT."""
<|body_0|>
def analyse_async(self, token_stream):
"""Transform ASYNC/AWAIT tokens to NAME outside async function."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_009053 | 4,388 | permissive | [
{
"docstring": "Add analysis of ASYNC/AWAIT.",
"name": "make_token_stream",
"signature": "def make_token_stream(self)"
},
{
"docstring": "Transform ASYNC/AWAIT tokens to NAME outside async function.",
"name": "analyse_async",
"signature": "def analyse_async(self, token_stream)"
}
] | 2 | stack_v2_sparse_classes_30k_train_045018 | Implement the Python class `Python35EnamlLexer` described below.
Class description:
Lexer specialized for Python > 3.5.
Method signatures and docstrings:
- def make_token_stream(self): Add analysis of ASYNC/AWAIT.
- def analyse_async(self, token_stream): Transform ASYNC/AWAIT tokens to NAME outside async function. | Implement the Python class `Python35EnamlLexer` described below.
Class description:
Lexer specialized for Python > 3.5.
Method signatures and docstrings:
- def make_token_stream(self): Add analysis of ASYNC/AWAIT.
- def analyse_async(self, token_stream): Transform ASYNC/AWAIT tokens to NAME outside async function.
<... | a32d44a9c66c91cc83c59a6bc955c43bc83dbb48 | <|skeleton|>
class Python35EnamlLexer:
"""Lexer specialized for Python > 3.5."""
def make_token_stream(self):
"""Add analysis of ASYNC/AWAIT."""
<|body_0|>
def analyse_async(self, token_stream):
"""Transform ASYNC/AWAIT tokens to NAME outside async function."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Python35EnamlLexer:
"""Lexer specialized for Python > 3.5."""
def make_token_stream(self):
"""Add analysis of ASYNC/AWAIT."""
token_stream = super(Python35EnamlLexer, self).make_token_stream()
token_stream = self.analyse_async(token_stream)
return token_stream
def ana... | the_stack_v2_python_sparse | enaml/core/parser/lexer3.py | timgates42/enaml | train | 0 |
ec2e8bb86780652c84ce52f715e90ccd603b9533 | [
"self.p = Pipeline()\nfor FH in filesToResample:\n dirForOutput = self.getOutputDirectory(FH)\n currentRes = volumeFromFile(FH.getLastBasevol()).separations\n if not abs(abs(currentRes[0]) - abs(resolution)) < 0.01:\n crop = ma.autocrop(resolution, FH, defaultDir=dirForOutput)\n self.p.addSta... | <|body_start_0|>
self.p = Pipeline()
for FH in filesToResample:
dirForOutput = self.getOutputDirectory(FH)
currentRes = volumeFromFile(FH.getLastBasevol()).separations
if not abs(abs(currentRes[0]) - abs(resolution)) < 0.01:
crop = ma.autocrop(resoluti... | SetResolution | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SetResolution:
def __init__(self, filesToResample, resolution):
"""During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage"""
<|body_0|>
def getOutputDirectory(self, FH):
"""Sets output directory based on whether... | stack_v2_sparse_classes_75kplus_train_009054 | 26,892 | permissive | [
{
"docstring": "During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage",
"name": "__init__",
"signature": "def __init__(self, filesToResample, resolution)"
},
{
"docstring": "Sets output directory based on whether or not we have a full Regi... | 2 | stack_v2_sparse_classes_30k_train_018025 | Implement the Python class `SetResolution` described below.
Class description:
Implement the SetResolution class.
Method signatures and docstrings:
- def __init__(self, filesToResample, resolution): During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage
- def ge... | Implement the Python class `SetResolution` described below.
Class description:
Implement the SetResolution class.
Method signatures and docstrings:
- def __init__(self, filesToResample, resolution): During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage
- def ge... | 1989e6d750c44f0e3e3599d8e080e30a46c7ab81 | <|skeleton|>
class SetResolution:
def __init__(self, filesToResample, resolution):
"""During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage"""
<|body_0|>
def getOutputDirectory(self, FH):
"""Sets output directory based on whether... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SetResolution:
def __init__(self, filesToResample, resolution):
"""During initialization make sure all files are resampled at resolution we'd like to use for each pipeline stage"""
self.p = Pipeline()
for FH in filesToResample:
dirForOutput = self.getOutputDirectory(FH)
... | the_stack_v2_python_sparse | atoms_and_modules/minc_modules.py | edeguzman/pydpiper | train | 0 | |
6e911e1918da1faaa60959fdca507e4fbefa2d68 | [
"network_sys = client_object.parent.parent.get_network_system()\ntry:\n for pg in network_sys.networkInfo.portgroup:\n if pg.spec.name == client_object.name and pg.spec.vswitchName == client_object.parent.name:\n return NetworkSchema(name=client_object.name, vlan=pg.spec.vlanId, switch=pg.spec.... | <|body_start_0|>
network_sys = client_object.parent.parent.get_network_system()
try:
for pg in network_sys.networkInfo.portgroup:
if pg.spec.name == client_object.name and pg.spec.vswitchName == client_object.parent.name:
return NetworkSchema(name=client_o... | ESX55CRUDImpl | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ESX55CRUDImpl:
def read(cls, client_object):
"""Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtype: Portgroup Schema instance @return: Returns a Portgroup instance with attributes name, vswitchName, ... | stack_v2_sparse_classes_75kplus_train_009055 | 2,522 | no_license | [
{
"docstring": "Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtype: Portgroup Schema instance @return: Returns a Portgroup instance with attributes name, vswitchName, vlan_id.",
"name": "read",
"signature": "def rea... | 2 | stack_v2_sparse_classes_30k_train_044534 | Implement the Python class `ESX55CRUDImpl` described below.
Class description:
Implement the ESX55CRUDImpl class.
Method signatures and docstrings:
- def read(cls, client_object): Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtyp... | Implement the Python class `ESX55CRUDImpl` described below.
Class description:
Implement the ESX55CRUDImpl class.
Method signatures and docstrings:
- def read(cls, client_object): Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtyp... | 5b55817c050b637e2747084290f6206d2e622938 | <|skeleton|>
class ESX55CRUDImpl:
def read(cls, client_object):
"""Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtype: Portgroup Schema instance @return: Returns a Portgroup instance with attributes name, vswitchName, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ESX55CRUDImpl:
def read(cls, client_object):
"""Returns the properties for the given portgroup. @type client_object: client instance @param client_object: Portgroup client instance @rtype: Portgroup Schema instance @return: Returns a Portgroup instance with attributes name, vswitchName, vlan_id."""
... | the_stack_v2_python_sparse | SystemTesting/pylib/vmware/vsphere/esx/vsswitch/portgroup/api/esx55_crud_impl.py | Cloudxtreme/MyProject | train | 0 | |
add181f9395434b7e2e1d2331f9ac8ee6153148f | [
"from collections import deque\nq = deque([(root, 1)])\nans = 0\nwhile q:\n sz = len(q)\n l, r = (-1, -1)\n for i in range(sz):\n node, idx = q.popleft()\n if i == 0:\n l = idx\n if i == sz - 1:\n r = idx\n if node.left:\n q.append((node.left, id... | <|body_start_0|>
from collections import deque
q = deque([(root, 1)])
ans = 0
while q:
sz = len(q)
l, r = (-1, -1)
for i in range(sz):
node, idx = q.popleft()
if i == 0:
l = idx
if i =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def widthOfBinaryTree(self, root: TreeNode) -> int:
"""BFS, Time: O(n), Space: O(n)"""
<|body_0|>
def widthOfBinaryTree(self, root: TreeNode) -> int:
"""DFS, Time: O(n), Space: O(n)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
from coll... | stack_v2_sparse_classes_75kplus_train_009056 | 1,580 | no_license | [
{
"docstring": "BFS, Time: O(n), Space: O(n)",
"name": "widthOfBinaryTree",
"signature": "def widthOfBinaryTree(self, root: TreeNode) -> int"
},
{
"docstring": "DFS, Time: O(n), Space: O(n)",
"name": "widthOfBinaryTree",
"signature": "def widthOfBinaryTree(self, root: TreeNode) -> int"
... | 2 | stack_v2_sparse_classes_30k_train_020100 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def widthOfBinaryTree(self, root: TreeNode) -> int: BFS, Time: O(n), Space: O(n)
- def widthOfBinaryTree(self, root: TreeNode) -> int: DFS, Time: O(n), Space: O(n) | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def widthOfBinaryTree(self, root: TreeNode) -> int: BFS, Time: O(n), Space: O(n)
- def widthOfBinaryTree(self, root: TreeNode) -> int: DFS, Time: O(n), Space: O(n)
<|skeleton|>
... | 72136e3487d239f5b37e2d6393e034262a6bf599 | <|skeleton|>
class Solution:
def widthOfBinaryTree(self, root: TreeNode) -> int:
"""BFS, Time: O(n), Space: O(n)"""
<|body_0|>
def widthOfBinaryTree(self, root: TreeNode) -> int:
"""DFS, Time: O(n), Space: O(n)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def widthOfBinaryTree(self, root: TreeNode) -> int:
"""BFS, Time: O(n), Space: O(n)"""
from collections import deque
q = deque([(root, 1)])
ans = 0
while q:
sz = len(q)
l, r = (-1, -1)
for i in range(sz):
nod... | the_stack_v2_python_sparse | python/662-Maximum Width of Binary Tree.py | cwza/leetcode | train | 0 | |
65212bb1c2daaaba0dc0fb2bfe02dce4962ea764 | [
"plot = self.component\nx = plot.index_mapper.map_data(event.x)\ny = plot.value_mapper.map_data(event.y)\nself.select_point = (x, y)",
"plot = self.component\nx = plot.index_mapper.map_data(event.x)\ny = plot.value_mapper.map_data(event.y)\nself.current_point = (x, y)"
] | <|body_start_0|>
plot = self.component
x = plot.index_mapper.map_data(event.x)
y = plot.value_mapper.map_data(event.y)
self.select_point = (x, y)
<|end_body_0|>
<|body_start_1|>
plot = self.component
x = plot.index_mapper.map_data(event.x)
y = plot.value_mapper.m... | A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view. | LineSelectTool | [
"BSD-3-Clause",
"CC-BY-3.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LineSelectTool:
"""A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view."""
def normal_left_down(self, event):
"""Dispatch an event with clicked location"""
<|body... | stack_v2_sparse_classes_75kplus_train_009057 | 1,083 | permissive | [
{
"docstring": "Dispatch an event with clicked location",
"name": "normal_left_down",
"signature": "def normal_left_down(self, event)"
},
{
"docstring": "Dispatch an event with double-clicked location",
"name": "normal_left_dclick",
"signature": "def normal_left_dclick(self, event)"
}
... | 2 | null | Implement the Python class `LineSelectTool` described below.
Class description:
A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view.
Method signatures and docstrings:
- def normal_left_down(self, event): ... | Implement the Python class `LineSelectTool` described below.
Class description:
A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view.
Method signatures and docstrings:
- def normal_left_down(self, event): ... | bb8c8775f15bdc9fa1a0a443ad0cdd9702a7e7af | <|skeleton|>
class LineSelectTool:
"""A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view."""
def normal_left_down(self, event):
"""Dispatch an event with clicked location"""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LineSelectTool:
"""A tool for selecting navigation lines. This tool dispatches events with clicked locations. The work for choosing which lines to select is done in the survey map view."""
def normal_left_down(self, event):
"""Dispatch an event with clicked location"""
plot = self.compone... | the_stack_v2_python_sparse | hydropick/ui/line_select_tool.py | dpinte/hydropick | train | 2 |
ec325c9e3c867c3ade30579e7743fdadb932e0a8 | [
"debit_limits = DebitLimits()\ndf = DebitLimitsConstructor.prepare_date(df)\ndebit_limits.df = df\nreturn debit_limits",
"dates = pd.to_datetime(df[DebitLimits.date])\ndf[DebitLimits.date] = dates\nreturn df"
] | <|body_start_0|>
debit_limits = DebitLimits()
df = DebitLimitsConstructor.prepare_date(df)
debit_limits.df = df
return debit_limits
<|end_body_0|>
<|body_start_1|>
dates = pd.to_datetime(df[DebitLimits.date])
df[DebitLimits.date] = dates
return df
<|end_body_1|>
| DebitLimitsConstructor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DebitLimitsConstructor:
def create_debit_limits(df: pd.DataFrame) -> DebitLimits:
"""Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с огрничениями :return: экземляр класса DebitLimits"""
<|body_0|>
def prepare_date(df: pd.DataFrame) -... | stack_v2_sparse_classes_75kplus_train_009058 | 3,339 | no_license | [
{
"docstring": "Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с огрничениями :return: экземляр класса DebitLimits",
"name": "create_debit_limits",
"signature": "def create_debit_limits(df: pd.DataFrame) -> DebitLimits"
},
{
"docstring": "Кофектор столбца... | 2 | null | Implement the Python class `DebitLimitsConstructor` described below.
Class description:
Implement the DebitLimitsConstructor class.
Method signatures and docstrings:
- def create_debit_limits(df: pd.DataFrame) -> DebitLimits: Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с ог... | Implement the Python class `DebitLimitsConstructor` described below.
Class description:
Implement the DebitLimitsConstructor class.
Method signatures and docstrings:
- def create_debit_limits(df: pd.DataFrame) -> DebitLimits: Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с ог... | d7ea784210dbca8509661b61a02f61c517cdad30 | <|skeleton|>
class DebitLimitsConstructor:
def create_debit_limits(df: pd.DataFrame) -> DebitLimits:
"""Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с огрничениями :return: экземляр класса DebitLimits"""
<|body_0|>
def prepare_date(df: pd.DataFrame) -... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DebitLimitsConstructor:
def create_debit_limits(df: pd.DataFrame) -> DebitLimits:
"""Создает экземпляр класса с огрничениями по дебиту нефти и жидкости :param df: DataFrame с огрничениями :return: экземляр класса DebitLimits"""
debit_limits = DebitLimits()
df = DebitLimitsConstructor.p... | the_stack_v2_python_sparse | ManagementObject/AdditionalSchedule/Bound.py | Jaapin/tNavigatorManager | train | 0 | |
88bc474550e4e52120e4360b9f2804dda95201cd | [
"self.links = links\nself.email_config = email_config\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nlinks = dictionary.get('links')\nemail_config = dictionary.get('emailConfig')\nfor key in cls._names.values():\n if key in dictionary:\n del dictionary[ke... | <|body_start_0|>
self.links = links
self.email_config = email_config
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
links = dictionary.get('links')
email_config = dictionary.get('emailConf... | Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config (object): The configuration used to generate the Connect email. | GenerateConnectEmailResponseMultipleBorrowers | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenerateConnectEmailResponseMultipleBorrowers:
"""Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config (object): The configuration used to gen... | stack_v2_sparse_classes_75kplus_train_009059 | 2,061 | permissive | [
{
"docstring": "Constructor for the GenerateConnectEmailResponseMultipleBorrowers class",
"name": "__init__",
"signature": "def __init__(self, links=None, email_config=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictio... | 2 | stack_v2_sparse_classes_30k_train_005025 | Implement the Python class `GenerateConnectEmailResponseMultipleBorrowers` described below.
Class description:
Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config ... | Implement the Python class `GenerateConnectEmailResponseMultipleBorrowers` described below.
Class description:
Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config ... | b2ab1ded435db75c78d42261f5e4acd2a3061487 | <|skeleton|>
class GenerateConnectEmailResponseMultipleBorrowers:
"""Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config (object): The configuration used to gen... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GenerateConnectEmailResponseMultipleBorrowers:
"""Implementation of the 'Generate Connect Email Response Multiple borrowers' model. TODO: type model description here. Attributes: links (list of string): The URL generated to send a Connect email email_config (object): The configuration used to generate the Con... | the_stack_v2_python_sparse | finicityapi/models/generate_connect_email_response_multiple_borrowers.py | monarchmoney/finicity-python | train | 0 |
dbcf6a6159316c123dc8d5560b61313ece1ade42 | [
"idx = 1\nrecord = []\nres = []\nself.dfs(n, k, idx, record, res)\nreturn res",
"for i in range(idx, n + 1):\n record.append(i)\n if len(record) == k:\n copy_record = record.copy()\n res.append(copy_record)\n else:\n idx += 1\n self.dfs(n, k, idx, record, res)\n record.pop(... | <|body_start_0|>
idx = 1
record = []
res = []
self.dfs(n, k, idx, record, res)
return res
<|end_body_0|>
<|body_start_1|>
for i in range(idx, n + 1):
record.append(i)
if len(record) == k:
copy_record = record.copy()
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def combine(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_0|>
def dfs(self, n, k, idx=1, record=[], res=[]):
""":type k: int :type n: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_009060 | 753 | no_license | [
{
"docstring": ":type n: int :type k: int :rtype: List[List[int]]",
"name": "combine",
"signature": "def combine(self, n, k)"
},
{
"docstring": ":type k: int :type n: int :rtype: List[List[int]]",
"name": "dfs",
"signature": "def dfs(self, n, k, idx=1, record=[], res=[])"
}
] | 2 | stack_v2_sparse_classes_30k_val_003027 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combine(self, n, k): :type n: int :type k: int :rtype: List[List[int]]
- def dfs(self, n, k, idx=1, record=[], res=[]): :type k: int :type n: int :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def combine(self, n, k): :type n: int :type k: int :rtype: List[List[int]]
- def dfs(self, n, k, idx=1, record=[], res=[]): :type k: int :type n: int :rtype: List[List[int]]
<|s... | 9bd2d706f014ce84356ba38fc7801da0285a91d3 | <|skeleton|>
class Solution:
def combine(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
<|body_0|>
def dfs(self, n, k, idx=1, record=[], res=[]):
""":type k: int :type n: int :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def combine(self, n, k):
""":type n: int :type k: int :rtype: List[List[int]]"""
idx = 1
record = []
res = []
self.dfs(n, k, idx, record, res)
return res
def dfs(self, n, k, idx=1, record=[], res=[]):
""":type k: int :type n: int :rtype: L... | the_stack_v2_python_sparse | leetcode/combine-77.py | pittcat/Algorithm_Practice | train | 0 | |
6ce31067b4a0af641709930a01e204e3f0aa8ee2 | [
"super().__init__()\nself.args = args\nself.q_params = nn.Parameter(self.args.q_delta * torch.randn(self.args.q_depth * self.args.n_qubits))\nself.qai = quant_arc_interface",
"q_in = torch.tanh(input_features) * np.pi / 2.0\nq_in = q_in.to(self.args.device)\nq_out = torch.Tensor(0, self.args.target_class)\nq_out ... | <|body_start_0|>
super().__init__()
self.args = args
self.q_params = nn.Parameter(self.args.q_delta * torch.randn(self.args.q_depth * self.args.n_qubits))
self.qai = quant_arc_interface
<|end_body_0|>
<|body_start_1|>
q_in = torch.tanh(input_features) * np.pi / 2.0
q_in ... | Torch module implementing the *dressed* quantum net. | vqc_net | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class vqc_net:
"""Torch module implementing the *dressed* quantum net."""
def __init__(self, args, quant_arc_interface):
"""Definition of the *dressed* layout."""
<|body_0|>
def forward(self, input_features):
"""Defining how tensors are supposed to move through the *dr... | stack_v2_sparse_classes_75kplus_train_009061 | 1,518 | permissive | [
{
"docstring": "Definition of the *dressed* layout.",
"name": "__init__",
"signature": "def __init__(self, args, quant_arc_interface)"
},
{
"docstring": "Defining how tensors are supposed to move through the *dressed* quantum net.",
"name": "forward",
"signature": "def forward(self, inpu... | 2 | stack_v2_sparse_classes_30k_train_003074 | Implement the Python class `vqc_net` described below.
Class description:
Torch module implementing the *dressed* quantum net.
Method signatures and docstrings:
- def __init__(self, args, quant_arc_interface): Definition of the *dressed* layout.
- def forward(self, input_features): Defining how tensors are supposed to... | Implement the Python class `vqc_net` described below.
Class description:
Torch module implementing the *dressed* quantum net.
Method signatures and docstrings:
- def __init__(self, args, quant_arc_interface): Definition of the *dressed* layout.
- def forward(self, input_features): Defining how tensors are supposed to... | 8126691b43bddc2b1a96f73ab35d04d1af200d7a | <|skeleton|>
class vqc_net:
"""Torch module implementing the *dressed* quantum net."""
def __init__(self, args, quant_arc_interface):
"""Definition of the *dressed* layout."""
<|body_0|>
def forward(self, input_features):
"""Defining how tensors are supposed to move through the *dr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class vqc_net:
"""Torch module implementing the *dressed* quantum net."""
def __init__(self, args, quant_arc_interface):
"""Definition of the *dressed* layout."""
super().__init__()
self.args = args
self.q_params = nn.Parameter(self.args.q_delta * torch.randn(self.args.q_depth *... | the_stack_v2_python_sparse | model/vqc_layers.py | zzh237/quanthmc | train | 0 |
9868a9fbb8ec0e8b8e0e0a83a46b8cb5d7be5a9b | [
"channel_repo = DesignatedChannelRepository()\nchannels = await channel_repo.get_all_designated_channels()\nembed = discord.Embed(title=f'Designated Channels', color=Colors.ClemsonOrange)\nif channels is None:\n embed.add_field(name='No possible designated channels', value='')\n await ctx.send(embed=embed)\n ... | <|body_start_0|>
channel_repo = DesignatedChannelRepository()
channels = await channel_repo.get_all_designated_channels()
embed = discord.Embed(title=f'Designated Channels', color=Colors.ClemsonOrange)
if channels is None:
embed.add_field(name='No possible designated channels... | DesignatedChannelsCog | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DesignatedChannelsCog:
async def channel(self, ctx):
"""Sends a formatted embed of the possible designated channels and their listeners to the context of the command"""
<|body_0|>
async def add(self, ctx, channel_type: str, channel: discord.TextChannel):
"""Command t... | stack_v2_sparse_classes_75kplus_train_009062 | 4,243 | permissive | [
{
"docstring": "Sends a formatted embed of the possible designated channels and their listeners to the context of the command",
"name": "channel",
"signature": "async def channel(self, ctx)"
},
{
"docstring": "Command to add a registered TextChannel too a designated channel Args: channel_type (s... | 3 | null | Implement the Python class `DesignatedChannelsCog` described below.
Class description:
Implement the DesignatedChannelsCog class.
Method signatures and docstrings:
- async def channel(self, ctx): Sends a formatted embed of the possible designated channels and their listeners to the context of the command
- async def ... | Implement the Python class `DesignatedChannelsCog` described below.
Class description:
Implement the DesignatedChannelsCog class.
Method signatures and docstrings:
- async def channel(self, ctx): Sends a formatted embed of the possible designated channels and their listeners to the context of the command
- async def ... | 2f8b45f06abb510029f3461ab5e39535a5eb3385 | <|skeleton|>
class DesignatedChannelsCog:
async def channel(self, ctx):
"""Sends a formatted embed of the possible designated channels and their listeners to the context of the command"""
<|body_0|>
async def add(self, ctx, channel_type: str, channel: discord.TextChannel):
"""Command t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DesignatedChannelsCog:
async def channel(self, ctx):
"""Sends a formatted embed of the possible designated channels and their listeners to the context of the command"""
channel_repo = DesignatedChannelRepository()
channels = await channel_repo.get_all_designated_channels()
embe... | the_stack_v2_python_sparse | bot/cogs/designated_channels_cog.py | new-zelind/ClemBot | train | 1 | |
b89cc1a4b7aee8abf2c5c25ddf4889d97bb242cc | [
"mobile = attrs.get('mobile')\nif not re.match('1[3-9]\\\\d{9}$', mobile):\n raise serializers.ValidationError('手机号不合法。')\nif attrs.get('password') != attrs.get('password2'):\n raise serializers.ValidationError('两次输入密码不一致。')\nredis_conn = get_redis_connection('default')\nreal_sms_code = redis_conn.get('sms_%s... | <|body_start_0|>
mobile = attrs.get('mobile')
if not re.match('1[3-9]\\d{9}$', mobile):
raise serializers.ValidationError('手机号不合法。')
if attrs.get('password') != attrs.get('password2'):
raise serializers.ValidationError('两次输入密码不一致。')
redis_conn = get_redis_connecti... | 用户注册序列化器 | UserRegisterSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserRegisterSerializer:
"""用户注册序列化器"""
def validate(self, attrs):
"""验证数据 :param attrs: :return:"""
<|body_0|>
def create(self, validated_data):
"""重写父类create方法 :param validated_data: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
mobi... | stack_v2_sparse_classes_75kplus_train_009063 | 3,402 | no_license | [
{
"docstring": "验证数据 :param attrs: :return:",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "重写父类create方法 :param validated_data: :return:",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000395 | Implement the Python class `UserRegisterSerializer` described below.
Class description:
用户注册序列化器
Method signatures and docstrings:
- def validate(self, attrs): 验证数据 :param attrs: :return:
- def create(self, validated_data): 重写父类create方法 :param validated_data: :return: | Implement the Python class `UserRegisterSerializer` described below.
Class description:
用户注册序列化器
Method signatures and docstrings:
- def validate(self, attrs): 验证数据 :param attrs: :return:
- def create(self, validated_data): 重写父类create方法 :param validated_data: :return:
<|skeleton|>
class UserRegisterSerializer:
"... | c7a57b6ac23885a6db682899d9360017708d084a | <|skeleton|>
class UserRegisterSerializer:
"""用户注册序列化器"""
def validate(self, attrs):
"""验证数据 :param attrs: :return:"""
<|body_0|>
def create(self, validated_data):
"""重写父类create方法 :param validated_data: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserRegisterSerializer:
"""用户注册序列化器"""
def validate(self, attrs):
"""验证数据 :param attrs: :return:"""
mobile = attrs.get('mobile')
if not re.match('1[3-9]\\d{9}$', mobile):
raise serializers.ValidationError('手机号不合法。')
if attrs.get('password') != attrs.get('passwo... | the_stack_v2_python_sparse | backend/backend/apps/users/serializers.py | chenya1123236324/AutomationTestPlat | train | 1 |
b8715e3fce019f376643ca7164d0492969bd21fd | [
"if s == None or t == None:\n return s == t\nelse:\n return self.is_same(s, t) or self.isSubtree(s.left, t) or self.isSubtree(s.right, t)",
"if s == None or t == None:\n return s == t\nelse:\n return s.val == t.val and self.is_same(s.left, t.left) and self.is_same(s.right, t.right)"
] | <|body_start_0|>
if s == None or t == None:
return s == t
else:
return self.is_same(s, t) or self.isSubtree(s.left, t) or self.isSubtree(s.right, t)
<|end_body_0|>
<|body_start_1|>
if s == None or t == None:
return s == t
else:
return s.va... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isSubtree(self, s, t):
""":type s: TreeNode :type t: TreeNode :rtype: bool"""
<|body_0|>
def is_same(self, s, t):
"""这个函数的作用是判断两棵树是否相等"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if s == None or t == None:
return s == t... | stack_v2_sparse_classes_75kplus_train_009064 | 1,074 | no_license | [
{
"docstring": ":type s: TreeNode :type t: TreeNode :rtype: bool",
"name": "isSubtree",
"signature": "def isSubtree(self, s, t)"
},
{
"docstring": "这个函数的作用是判断两棵树是否相等",
"name": "is_same",
"signature": "def is_same(self, s, t)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSubtree(self, s, t): :type s: TreeNode :type t: TreeNode :rtype: bool
- def is_same(self, s, t): 这个函数的作用是判断两棵树是否相等 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isSubtree(self, s, t): :type s: TreeNode :type t: TreeNode :rtype: bool
- def is_same(self, s, t): 这个函数的作用是判断两棵树是否相等
<|skeleton|>
class Solution:
def isSubtree(self, s,... | 9dccbdea918cc0531f7cbe60677a197a60ac61b7 | <|skeleton|>
class Solution:
def isSubtree(self, s, t):
""":type s: TreeNode :type t: TreeNode :rtype: bool"""
<|body_0|>
def is_same(self, s, t):
"""这个函数的作用是判断两棵树是否相等"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isSubtree(self, s, t):
""":type s: TreeNode :type t: TreeNode :rtype: bool"""
if s == None or t == None:
return s == t
else:
return self.is_same(s, t) or self.isSubtree(s.left, t) or self.isSubtree(s.right, t)
def is_same(self, s, t):
... | the_stack_v2_python_sparse | leetcode/Tree/SubtreeofAnotherTree.py | chuanfanyoudong/algorithm | train | 0 | |
5e01368734d75e145c89d7234eb112a95433cc38 | [
"if type(rdata) == list:\n rdata = np.array(rdata)\nself.rdata = rdata\nself.nfeat = rdata.shape[1]\nself.rsize = rdata.shape[0]\nself.scount = 0\nself.wsize = wsize\nself.wpsize = wpsize\nself.vcount = 0\nself.cdata = list()",
"assertGreaterEqual(self.wsize, 50, 'minimum window size is 50')\nself.scount += 1\... | <|body_start_0|>
if type(rdata) == list:
rdata = np.array(rdata)
self.rdata = rdata
self.nfeat = rdata.shape[1]
self.rsize = rdata.shape[0]
self.scount = 0
self.wsize = wsize
self.wpsize = wpsize
self.vcount = 0
self.cdata = list()
<|en... | drift detection without label feedback | UnSupConceptDrift | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnSupConceptDrift:
"""drift detection without label feedback"""
def __init__(self, rdata, wsize, wpsize):
"""initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size"""
<|body_0|>
def add(self, flist):
"""detects drif... | stack_v2_sparse_classes_75kplus_train_009065 | 4,219 | permissive | [
{
"docstring": "initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size",
"name": "__init__",
"signature": "def __init__(self, rdata, wsize, wpsize)"
},
{
"docstring": "detects drift online Parameters flist : feature value list",
"name": "add",
... | 3 | stack_v2_sparse_classes_30k_train_011987 | Implement the Python class `UnSupConceptDrift` described below.
Class description:
drift detection without label feedback
Method signatures and docstrings:
- def __init__(self, rdata, wsize, wpsize): initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size
- def add(self,... | Implement the Python class `UnSupConceptDrift` described below.
Class description:
drift detection without label feedback
Method signatures and docstrings:
- def __init__(self, rdata, wsize, wpsize): initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size
- def add(self,... | 861fd06b6b7abaffe5e8ca795136ab0fbb2234b5 | <|skeleton|>
class UnSupConceptDrift:
"""drift detection without label feedback"""
def __init__(self, rdata, wsize, wpsize):
"""initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size"""
<|body_0|>
def add(self, flist):
"""detects drif... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnSupConceptDrift:
"""drift detection without label feedback"""
def __init__(self, rdata, wsize, wpsize):
"""initializer Parameters rdata : reference data wsize : window size wpsize : window processing step size"""
if type(rdata) == list:
rdata = np.array(rdata)
self.r... | the_stack_v2_python_sparse | matumizi/matumizi/udrift.py | pranab/whakapai | train | 18 |
46f324c5e26717807963c5ebe1bd34e28eacbc0e | [
"armors = Armor.objects.all()\nserializer = ArmorSerializer(armors, many=True)\nreturn Response(serializer.data)",
"queryset = Armor.objects.all()\narmor = get_object_or_404(queryset, pk=pk)\nserializer = ArmorSerializer(armor)\nreturn Response(serializer.data)"
] | <|body_start_0|>
armors = Armor.objects.all()
serializer = ArmorSerializer(armors, many=True)
return Response(serializer.data)
<|end_body_0|>
<|body_start_1|>
queryset = Armor.objects.all()
armor = get_object_or_404(queryset, pk=pk)
serializer = ArmorSerializer(armor)
... | ArmorView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArmorView:
def list(self, request):
"""Получение списка брони"""
<|body_0|>
def retrieve(self, request, pk=None):
"""Получение брони по идентификатору pk - идентификатор брони"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
armors = Armor.objects.al... | stack_v2_sparse_classes_75kplus_train_009066 | 12,404 | no_license | [
{
"docstring": "Получение списка брони",
"name": "list",
"signature": "def list(self, request)"
},
{
"docstring": "Получение брони по идентификатору pk - идентификатор брони",
"name": "retrieve",
"signature": "def retrieve(self, request, pk=None)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034851 | Implement the Python class `ArmorView` described below.
Class description:
Implement the ArmorView class.
Method signatures and docstrings:
- def list(self, request): Получение списка брони
- def retrieve(self, request, pk=None): Получение брони по идентификатору pk - идентификатор брони | Implement the Python class `ArmorView` described below.
Class description:
Implement the ArmorView class.
Method signatures and docstrings:
- def list(self, request): Получение списка брони
- def retrieve(self, request, pk=None): Получение брони по идентификатору pk - идентификатор брони
<|skeleton|>
class ArmorView... | be47a0a6f50bf8680b22e0b9cae3e3b34a198a3d | <|skeleton|>
class ArmorView:
def list(self, request):
"""Получение списка брони"""
<|body_0|>
def retrieve(self, request, pk=None):
"""Получение брони по идентификатору pk - идентификатор брони"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArmorView:
def list(self, request):
"""Получение списка брони"""
armors = Armor.objects.all()
serializer = ArmorSerializer(armors, many=True)
return Response(serializer.data)
def retrieve(self, request, pk=None):
"""Получение брони по идентификатору pk - идентифика... | the_stack_v2_python_sparse | StarfinderBack/starfinder/views.py | Skirgus/StarfinderMasterAssistant | train | 0 | |
ce79b9a6b5e82afc4fee52595900ad58a8f9af12 | [
"super(IIJSeil, self).__init__(raw)\nself.os = 'SEIL'\nself.model = self.UNKNOWN\nself.version = self.UNKNOWN",
"regex = '(SEIL\\\\/.*)\\\\s+ver\\\\s+(.*)\\\\s+\\\\(.*\\\\)'\npat = re.compile(regex)\nres = pat.search(self.raw)\nif res:\n self.model = res.group(1)\n self.version = res.group(2)\n return se... | <|body_start_0|>
super(IIJSeil, self).__init__(raw)
self.os = 'SEIL'
self.model = self.UNKNOWN
self.version = self.UNKNOWN
<|end_body_0|>
<|body_start_1|>
regex = '(SEIL\\/.*)\\s+ver\\s+(.*)\\s+\\(.*\\)'
pat = re.compile(regex)
res = pat.search(self.raw)
... | Class IIJSeil. SNMP sysDescr for IIJSeil. | IIJSeil | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IIJSeil:
"""Class IIJSeil. SNMP sysDescr for IIJSeil."""
def __init__(self, raw):
"""Constructor."""
<|body_0|>
def parse(self):
"""Parse."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(IIJSeil, self).__init__(raw)
self.os = 'SEIL... | stack_v2_sparse_classes_75kplus_train_009067 | 698 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, raw)"
},
{
"docstring": "Parse.",
"name": "parse",
"signature": "def parse(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_001468 | Implement the Python class `IIJSeil` described below.
Class description:
Class IIJSeil. SNMP sysDescr for IIJSeil.
Method signatures and docstrings:
- def __init__(self, raw): Constructor.
- def parse(self): Parse. | Implement the Python class `IIJSeil` described below.
Class description:
Class IIJSeil. SNMP sysDescr for IIJSeil.
Method signatures and docstrings:
- def __init__(self, raw): Constructor.
- def parse(self): Parse.
<|skeleton|>
class IIJSeil:
"""Class IIJSeil. SNMP sysDescr for IIJSeil."""
def __init__(self... | 23898bf68428439a9ea8d7369a230890301f73c6 | <|skeleton|>
class IIJSeil:
"""Class IIJSeil. SNMP sysDescr for IIJSeil."""
def __init__(self, raw):
"""Constructor."""
<|body_0|>
def parse(self):
"""Parse."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IIJSeil:
"""Class IIJSeil. SNMP sysDescr for IIJSeil."""
def __init__(self, raw):
"""Constructor."""
super(IIJSeil, self).__init__(raw)
self.os = 'SEIL'
self.model = self.UNKNOWN
self.version = self.UNKNOWN
def parse(self):
"""Parse."""
regex =... | the_stack_v2_python_sparse | sysdescrparser/iij_seil.py | mtoshi/sysdescrparser | train | 14 |
04c07f4ed4dd26e83238371ada0b03dffca0aea6 | [
"super(CloudSQLInstance, self).__init__(resource_id=instance_id, resource_type=resource.ResourceType.CLOUD_SQL_INSTANCE, name=name, display_name=display_name, parent=parent, locations=locations, lifecycle_state=lifecycle_state)\nself.full_name = full_name\nself.data = data",
"instance_dict = json.loads(json_strin... | <|body_start_0|>
super(CloudSQLInstance, self).__init__(resource_id=instance_id, resource_type=resource.ResourceType.CLOUD_SQL_INSTANCE, name=name, display_name=display_name, parent=parent, locations=locations, lifecycle_state=lifecycle_state)
self.full_name = full_name
self.data = data
<|end_bo... | CloudSQL Instance resource. | CloudSQLInstance | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql... | stack_v2_sparse_classes_75kplus_train_009068 | 3,326 | permissive | [
{
"docstring": "Initialize. Args: instance_id (str): The cloud sql instance id. full_name (str): The full resource name and ancestry. data (str): Resource representation of the cloud sql instance. name (str): The cloud_sql_instance's unique GCP name, with the format \"cloud_sql_instances/{id}\". display_name (s... | 2 | stack_v2_sparse_classes_30k_train_031612 | Implement the Python class `CloudSQLInstance` described below.
Class description:
CloudSQL Instance resource.
Method signatures and docstrings:
- def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECI... | Implement the Python class `CloudSQLInstance` described below.
Class description:
CloudSQL Instance resource.
Method signatures and docstrings:
- def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECI... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CloudSQLInstance:
"""CloudSQL Instance resource."""
def __init__(self, instance_id, full_name=None, data=None, name=None, display_name=None, parent=None, locations=None, lifecycle_state=CloudSQLInstanceLifecycleState.UNSPECIFIED):
"""Initialize. Args: instance_id (str): The cloud sql instance id.... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_type/cloudsql_instance.py | kevensen/forseti-security | train | 1 |
d25cb5a993337334cda38fd4c1303c5996d9f547 | [
"map = set()\nwhile head:\n if head in map:\n return True\n else:\n map.add(head)\n head = head.next\nreturn False",
"if not head or not head.next:\n return False\nfast, slow = (head.next, head)\nwhile fast != slow:\n if not fast or not fast.next:\n return False\n slow = slo... | <|body_start_0|>
map = set()
while head:
if head in map:
return True
else:
map.add(head)
head = head.next
return False
<|end_body_0|>
<|body_start_1|>
if not head or not head.next:
return False
fast,... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%"""
<|body_0|>
def hasCycle1(self, head: ListNode) -> bool:
""":type head: ListNode :rtype: bool 快慢指针 利用了Floyd 判圈算法，又称龟兔赛跑算法 假想「乌龟」和「兔子」在链表上移动，「兔子」跑得快，「乌龟」跑得慢。 当「乌龟」和「兔子... | stack_v2_sparse_classes_75kplus_train_009069 | 3,134 | no_license | [
{
"docstring": ":type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%",
"name": "hasCycle",
"signature": "def hasCycle(self, head)"
},
{
"docstring": ":type head: ListNode :rtype: bool 快慢指针 利用了Floyd 判圈算法，又称龟兔赛跑算法 假想「乌龟」和「兔子」在链表上移动，「兔子」跑得快，「乌龟」跑得慢。 当「乌龟」和「兔子」从链表上的同一个节点开始移动时，如果该链表中没有环，那么「兔子」... | 2 | stack_v2_sparse_classes_30k_train_016698 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%
- def hasCycle1(self, head: ListNode) -> bool: :type head: ListNode :rtype: bool 快慢指针 利用了Flo... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def hasCycle(self, head): :type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%
- def hasCycle1(self, head: ListNode) -> bool: :type head: ListNode :rtype: bool 快慢指针 利用了Flo... | 2dc982e690b153c33bc7e27a63604f754a0df90c | <|skeleton|>
class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%"""
<|body_0|>
def hasCycle1(self, head: ListNode) -> bool:
""":type head: ListNode :rtype: bool 快慢指针 利用了Floyd 判圈算法，又称龟兔赛跑算法 假想「乌龟」和「兔子」在链表上移动，「兔子」跑得快，「乌龟」跑得慢。 当「乌龟」和「兔子... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def hasCycle(self, head):
""":type head: ListNode :rtype: bool 哈希表 时间击败78.12%，内存击败12.87%"""
map = set()
while head:
if head in map:
return True
else:
map.add(head)
head = head.next
return False
d... | the_stack_v2_python_sparse | 141_linked-list-cycle.py | 95275059/Algorithm | train | 0 | |
a2796351de78a282c6999edd4f2b1726072060ec | [
"p = 0\nif len(nums) == 0:\n return []\nif k >= len(nums):\n return [max(nums)]\nresult = []\nwhile p + k <= len(nums):\n result.append(max(nums[p:p + k]))\n p += 1\nreturn result",
"if len(nums) == 0:\n return []\nif k >= len(nums):\n return [max(nums)]\nresult = []\nmaxValue = max(nums[0:k])\n... | <|body_start_0|>
p = 0
if len(nums) == 0:
return []
if k >= len(nums):
return [max(nums)]
result = []
while p + k <= len(nums):
result.append(max(nums[p:p + k]))
p += 1
return result
<|end_body_0|>
<|body_start_1|>
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSlidingWindow(self, nums, k):
""":type nums: List[int] :type k: int :rtype: List[int]"""
<|body_0|>
def maxSlidingWindow2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_75kplus_train_009070 | 859 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: List[int]",
"name": "maxSlidingWindow",
"signature": "def maxSlidingWindow(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: List[int]",
"name": "maxSlidingWindow2",
"signature": "def maxSlidingWindow2... | 2 | stack_v2_sparse_classes_30k_train_001862 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSlidingWindow(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int]
- def maxSlidingWindow2(self, nums, k): :type nums: List[int] :type k: int :rtype: List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSlidingWindow(self, nums, k): :type nums: List[int] :type k: int :rtype: List[int]
- def maxSlidingWindow2(self, nums, k): :type nums: List[int] :type k: int :rtype: List[... | 0fddcc61923d760faa5fc60311861cbe89a54ba9 | <|skeleton|>
class Solution:
def maxSlidingWindow(self, nums, k):
""":type nums: List[int] :type k: int :rtype: List[int]"""
<|body_0|>
def maxSlidingWindow2(self, nums, k):
""":type nums: List[int] :type k: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSlidingWindow(self, nums, k):
""":type nums: List[int] :type k: int :rtype: List[int]"""
p = 0
if len(nums) == 0:
return []
if k >= len(nums):
return [max(nums)]
result = []
while p + k <= len(nums):
result.ap... | the_stack_v2_python_sparse | 239.py | zenmeder/leetcode | train | 0 | |
ea9741d0003975c6d8a0b075fd2247a8476b1936 | [
"self.rects = rects\ncurSize = 0\nself.preSize = []\nfor rect in rects:\n curSize += (rect[2] - rect[0]) * (rect[3] - rect[1])\n self.preSize.append(curSize)\nself.totalSize = curSize",
"randWeight = random.randint(1, self.totalSize)\nstart = 0\nend = len(self.preSize) - 1\nidx = None\nwhile start < end:\n ... | <|body_start_0|>
self.rects = rects
curSize = 0
self.preSize = []
for rect in rects:
curSize += (rect[2] - rect[0]) * (rect[3] - rect[1])
self.preSize.append(curSize)
self.totalSize = curSize
<|end_body_0|>
<|body_start_1|>
randWeight = random.ran... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
<|body_0|>
def pick(self):
""":rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.rects = rects
curSize = 0
self.preSize = []
for rect... | stack_v2_sparse_classes_75kplus_train_009071 | 2,383 | no_license | [
{
"docstring": ":type rects: List[List[int]]",
"name": "__init__",
"signature": "def __init__(self, rects)"
},
{
"docstring": ":rtype: List[int]",
"name": "pick",
"signature": "def pick(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_050301 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, rects): :type rects: List[List[int]]
- def pick(self): :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, rects): :type rects: List[List[int]]
- def pick(self): :rtype: List[int]
<|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: ... | fd310ec0a989e003242f1840230aaac150f006f0 | <|skeleton|>
class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
<|body_0|>
def pick(self):
""":rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def __init__(self, rects):
""":type rects: List[List[int]]"""
self.rects = rects
curSize = 0
self.preSize = []
for rect in rects:
curSize += (rect[2] - rect[0]) * (rect[3] - rect[1])
self.preSize.append(curSize)
self.totalSize =... | the_stack_v2_python_sparse | 好咧,最后还是要搞google/medium/RandomPointinNonoverlappingRectangles497_WRONG.py | jing1988a/python_fb | train | 0 | |
15134f02b3556dbd2a9e00e668d640d8b9a9f1bd | [
"self.sensor = sensor\nself.pump = pump\nself.decider = decider\nself.liquid_level = int()\nself.pump_status = int()\nself.control_decision = int()\nself.actions = {'PUMP_IN': pump.PUMP_IN, 'PUMP_OUT': pump.PUMP_OUT, 'PUMP_OFF': pump.PUMP_OFF}",
"self.liquid_level = self.sensor.measure()\nlogging.debug('In Contro... | <|body_start_0|>
self.sensor = sensor
self.pump = pump
self.decider = decider
self.liquid_level = int()
self.pump_status = int()
self.control_decision = int()
self.actions = {'PUMP_IN': pump.PUMP_IN, 'PUMP_OUT': pump.PUMP_OUT, 'PUMP_OFF': pump.PUMP_OFF}
<|end_body... | Encapsulates command and coordination for the water-regulation module | Controller | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Controller:
"""Encapsulates command and coordination for the water-regulation module"""
def __init__(self, sensor, pump, decider):
"""Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Typically an instance of pump.Pump :param decider: Typicall... | stack_v2_sparse_classes_75kplus_train_009072 | 2,605 | no_license | [
{
"docstring": "Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Typically an instance of pump.Pump :param decider: Typically an instance of decider.Decider",
"name": "__init__",
"signature": "def __init__(self, sensor, pump, decider)"
},
{
"docstring": ... | 2 | stack_v2_sparse_classes_30k_train_035201 | Implement the Python class `Controller` described below.
Class description:
Encapsulates command and coordination for the water-regulation module
Method signatures and docstrings:
- def __init__(self, sensor, pump, decider): Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Ty... | Implement the Python class `Controller` described below.
Class description:
Encapsulates command and coordination for the water-regulation module
Method signatures and docstrings:
- def __init__(self, sensor, pump, decider): Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Ty... | b1fea0309b3495b3e1dc167d7029bc9e4b6f00f1 | <|skeleton|>
class Controller:
"""Encapsulates command and coordination for the water-regulation module"""
def __init__(self, sensor, pump, decider):
"""Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Typically an instance of pump.Pump :param decider: Typicall... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Controller:
"""Encapsulates command and coordination for the water-regulation module"""
def __init__(self, sensor, pump, decider):
"""Create a new controller :param sensor: Typically an instance of sensor.Sensor :param pump: Typically an instance of pump.Pump :param decider: Typically an instance... | the_stack_v2_python_sparse | students/srepking/lesson06/water-regulation/waterregulation/controller.py | UWPCE-PythonCert-ClassRepos/SP_Online_Course2_2018 | train | 4 |
d4bf322be501cd9bfbf4c71d03cc1afaa6da019b | [
"self._path = path\nself._summary_dirs: List[Path] = []\nevent_files = self._discover_event_files(self._path)\ncb_summaries = self._discover_cerebras_summary_dirs(event_files)\nself._summary_dirs = self._discover_tensor_summary_dirs(cb_summaries)\nif not self._summary_dirs:\n logging.warning(f'Could not find any... | <|body_start_0|>
self._path = path
self._summary_dirs: List[Path] = []
event_files = self._discover_event_files(self._path)
cb_summaries = self._discover_cerebras_summary_dirs(event_files)
self._summary_dirs = self._discover_tensor_summary_dirs(cb_summaries)
if not self._... | Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching. So it can be used to inspect a live run. As more data becomes available, calling the ... | TensorSummaryReader | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TensorSummaryReader:
"""Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching. So it can be used to inspect a live ru... | stack_v2_sparse_classes_75kplus_train_009073 | 16,325 | permissive | [
{
"docstring": "Constructs a `TensorSummaryReader` instance. Args: path: Path to a Tensorboard events file or a directory containing Tensorboard events files. Location of tensor summaries are inferred from these events files as there is a one-to-one mapping from Tensorboard events files and tensor summary direc... | 6 | stack_v2_sparse_classes_30k_train_049047 | Implement the Python class `TensorSummaryReader` described below.
Class description:
Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching.... | Implement the Python class `TensorSummaryReader` described below.
Class description:
Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching.... | 97bdaf4460ace1681ad437b07ba33f0e179f5ca4 | <|skeleton|>
class TensorSummaryReader:
"""Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching. So it can be used to inspect a live ru... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TensorSummaryReader:
"""Class for reading summarized tensors. This class works in tandem with `TensorSummary` defined above. It provides general convenience APIs for inspecting tensor summaries produced by a run. Currently this class does not do any caching. So it can be used to inspect a live run. As more da... | the_stack_v2_python_sparse | modelzoo/common/pytorch/summaries/tensor_summary.py | Cerebras/modelzoo | train | 644 |
805f530bab71d4a09b91e729ee876a7b65185179 | [
"for i in range(len(board)):\n for j in range(len(board[0])):\n if self.dfs(board, i, j, word):\n return True\nreturn False",
"if len(word) == 0:\n return True\nif i < 0 or i > len(board) - 1 or j < 0 or (j > len(board[0]) - 1) or (board[i][j] != word[0]):\n return False\ntmp = board[i]... | <|body_start_0|>
for i in range(len(board)):
for j in range(len(board[0])):
if self.dfs(board, i, j, word):
return True
return False
<|end_body_0|>
<|body_start_1|>
if len(word) == 0:
return True
if i < 0 or i > len(board) - 1 ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def exist(self, board, word):
"""horizontally search"""
<|body_0|>
def dfs(self, board, i, j, word):
"""make sure whether there exists a path of given word start from board[i][j] this is dfs search!!! 1. first check if board[i][j] == word[0], return false i... | stack_v2_sparse_classes_75kplus_train_009074 | 1,860 | no_license | [
{
"docstring": "horizontally search",
"name": "exist",
"signature": "def exist(self, board, word)"
},
{
"docstring": "make sure whether there exists a path of given word start from board[i][j] this is dfs search!!! 1. first check if board[i][j] == word[0], return false if not, turn to another di... | 2 | stack_v2_sparse_classes_30k_train_001265 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def exist(self, board, word): horizontally search
- def dfs(self, board, i, j, word): make sure whether there exists a path of given word start from board[i][j] this is dfs searc... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def exist(self, board, word): horizontally search
- def dfs(self, board, i, j, word): make sure whether there exists a path of given word start from board[i][j] this is dfs searc... | b9a2bd8385e44cc79454f9c7f2146370896559ec | <|skeleton|>
class Solution:
def exist(self, board, word):
"""horizontally search"""
<|body_0|>
def dfs(self, board, i, j, word):
"""make sure whether there exists a path of given word start from board[i][j] this is dfs search!!! 1. first check if board[i][j] == word[0], return false i... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def exist(self, board, word):
"""horizontally search"""
for i in range(len(board)):
for j in range(len(board[0])):
if self.dfs(board, i, j, word):
return True
return False
def dfs(self, board, i, j, word):
"""make s... | the_stack_v2_python_sparse | 79.WordSearch.py | haveGrasses/Algorithm | train | 0 | |
8cdd9c4831233327bfd3a2ec7a1116fb1a2926ed | [
"try:\n url = base + cls.url if base is not None else cls.url\nexcept AttributeError:\n raise ViewConfigurationError('No URL provided!')\nkwargs = {}\nname = getattr(cls, 'name', None)\nif name is not None:\n kwargs['name'] = name\ncls.route = app.router.add_view(url, cls, **kwargs)\ncls.rental_manager = a... | <|body_start_0|>
try:
url = base + cls.url if base is not None else cls.url
except AttributeError:
raise ViewConfigurationError('No URL provided!')
kwargs = {}
name = getattr(cls, 'name', None)
if name is not None:
kwargs['name'] = name
... | The base view that all other views extend. Contains some useful helper functions that the extending classes can use. | BaseView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseView:
"""The base view that all other views extend. Contains some useful helper functions that the extending classes can use."""
def register_route(cls, app: Application, base: Optional[str]=None):
"""Registers the view with the given router. :raises ViewConfigurationError: If th... | stack_v2_sparse_classes_75kplus_train_009075 | 2,797 | permissive | [
{
"docstring": "Registers the view with the given router. :raises ViewConfigurationError: If the URL hasn't been set on the given view.",
"name": "register_route",
"signature": "def register_route(cls, app: Application, base: Optional[str]=None)"
},
{
"docstring": "Enables CORS on the view.",
... | 2 | stack_v2_sparse_classes_30k_train_018774 | Implement the Python class `BaseView` described below.
Class description:
The base view that all other views extend. Contains some useful helper functions that the extending classes can use.
Method signatures and docstrings:
- def register_route(cls, app: Application, base: Optional[str]=None): Registers the view wit... | Implement the Python class `BaseView` described below.
Class description:
The base view that all other views extend. Contains some useful helper functions that the extending classes can use.
Method signatures and docstrings:
- def register_route(cls, app: Application, base: Optional[str]=None): Registers the view wit... | fc6f9230e4701cbddcb16d7257fddb9ff08bddb9 | <|skeleton|>
class BaseView:
"""The base view that all other views extend. Contains some useful helper functions that the extending classes can use."""
def register_route(cls, app: Application, base: Optional[str]=None):
"""Registers the view with the given router. :raises ViewConfigurationError: If th... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseView:
"""The base view that all other views extend. Contains some useful helper functions that the extending classes can use."""
def register_route(cls, app: Application, base: Optional[str]=None):
"""Registers the view with the given router. :raises ViewConfigurationError: If the URL hasn't ... | the_stack_v2_python_sparse | server/views/base.py | dragorhast/server | train | 6 |
113625d1e35f6d827093f5c2423538f371052849 | [
"self.DRIVER = DRIVER\nself.SERVER = SERVER\nself.DATABASE = DATABASE\nself.UID = UID\nself.PWD = PWD",
"if not self.DATABASE:\n raise (NameError, 'no setting db info')\nself.conn = pyodbc.connect(DRIVER=self.DRIVER, SERVER=self.SERVER, DATABASE=self.DATABASE, UID=self.UID, PWD=self.PWD, charset='UTF-8')\ncur ... | <|body_start_0|>
self.DRIVER = DRIVER
self.SERVER = SERVER
self.DATABASE = DATABASE
self.UID = UID
self.PWD = PWD
<|end_body_0|>
<|body_start_1|>
if not self.DATABASE:
raise (NameError, 'no setting db info')
self.conn = pyodbc.connect(DRIVER=self.DRIV... | '' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZHM;DATABASE=AdventureWorks2008;UID=sa;PWD=wa1234') cnxn = pyodbc.connect(DR... | ODBC_MS | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ODBC_MS:
"""'' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZHM;DATABASE=AdventureWorks2008;UID=sa;PW... | stack_v2_sparse_classes_75kplus_train_009076 | 2,271 | permissive | [
{
"docstring": "'' initialization",
"name": "__init__",
"signature": "def __init__(self, DRIVER, SERVER, DATABASE, UID, PWD)"
},
{
"docstring": "'' Connect to the DB",
"name": "__GetConnect",
"signature": "def __GetConnect(self)"
},
{
"docstring": "'' Perform one Sql statement",
... | 4 | stack_v2_sparse_classes_30k_train_031221 | Implement the Python class `ODBC_MS` described below.
Class description:
'' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZH... | Implement the Python class `ODBC_MS` described below.
Class description:
'' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZH... | 0f42eb49a102626b11a0902c61deee9c5a17189b | <|skeleton|>
class ODBC_MS:
"""'' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZHM;DATABASE=AdventureWorks2008;UID=sa;PW... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ODBC_MS:
"""'' 对pyodbc库的操作进行简单封装 pyodbc库的下载地址:http://code.google.com/p/pyodbc/downloads/list 使用该库时，需要在Sql Server Configuration Manager里面将TCP/IP协议开启 此类完成对数据库DB的连接/查询/执行操作 正确的连接方式如下: cnxn = pyodbc.connect('DRIVER={SQL SERVER};SERVER=ZHANGHUAMIN\\MSSQLSERVER_ZHM;DATABASE=AdventureWorks2008;UID=sa;PWD=wa1234') cn... | the_stack_v2_python_sparse | team-7/src/bookodbc.py | ynu-python-course/2017-autumn | train | 0 |
512c2194c9fc1e2c180c3c18d45bb655df620bcb | [
"if request.access.has_scope('project:write'):\n results = list(SavedSearch.objects.filter(project=project, owner__isnull=True).order_by('name'))\nelse:\n results = list(SavedSearch.objects.filter(Q(owner=request.user) | Q(owner__isnull=True), project=project).order_by('name'))\nreturn Response(serialize(resu... | <|body_start_0|>
if request.access.has_scope('project:write'):
results = list(SavedSearch.objects.filter(project=project, owner__isnull=True).order_by('name'))
else:
results = list(SavedSearch.objects.filter(Q(owner=request.user) | Q(owner__isnull=True), project=project).order_by... | ProjectSearchesEndpoint | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProjectSearchesEndpoint:
def get(self, request, project):
"""List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}"""
<|body_0|>
def post(self, request, project):
"""Create a new saved search Create a new saved search ... | stack_v2_sparse_classes_75kplus_train_009077 | 3,680 | permissive | [
{
"docstring": "List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}",
"name": "get",
"signature": "def get(self, request, project)"
},
{
"docstring": "Create a new saved search Create a new saved search for the given project. {method} {path} {{ ... | 2 | null | Implement the Python class `ProjectSearchesEndpoint` described below.
Class description:
Implement the ProjectSearchesEndpoint class.
Method signatures and docstrings:
- def get(self, request, project): List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}
- def post(s... | Implement the Python class `ProjectSearchesEndpoint` described below.
Class description:
Implement the ProjectSearchesEndpoint class.
Method signatures and docstrings:
- def get(self, request, project): List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}
- def post(s... | b937615079d7b24dc225a83b99b1b65da932fc66 | <|skeleton|>
class ProjectSearchesEndpoint:
def get(self, request, project):
"""List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}"""
<|body_0|>
def post(self, request, project):
"""Create a new saved search Create a new saved search ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProjectSearchesEndpoint:
def get(self, request, project):
"""List a project's saved searches Retrieve a list of saved searches for a given project. {method} {path}"""
if request.access.has_scope('project:write'):
results = list(SavedSearch.objects.filter(project=project, owner__isn... | the_stack_v2_python_sparse | src/sentry/api/endpoints/project_searches.py | atlassian/sentry | train | 1 | |
c39112dc88eaf85969b92f02b681899a79b2b5c4 | [
"submission, submission_guids = submission\nif submission is None:\n raise werkzeug.exceptions.NotFound\nreturn submission",
"context = api.commit_or_abort(db.session, default_error_message='Failed to update Submission details.')\nwith context:\n parameters.PatchSubmissionDetailsParameters.perform_patch(arg... | <|body_start_0|>
submission, submission_guids = submission
if submission is None:
raise werkzeug.exceptions.NotFound
return submission
<|end_body_0|>
<|body_start_1|>
context = api.commit_or_abort(db.session, default_error_message='Failed to update Submission details.')
... | Manipulations with a specific Submission. | SubmissionByID | [
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubmissionByID:
"""Manipulations with a specific Submission."""
def get(self, submission):
"""Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, check SubmissionManager for remote Submission by UUID, if not... | stack_v2_sparse_classes_75kplus_train_009078 | 9,991 | permissive | [
{
"docstring": "Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, check SubmissionManager for remote Submission by UUID, if not found, throw 404 as intended",
"name": "get",
"signature": "def get(self, submission)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_054330 | Implement the Python class `SubmissionByID` described below.
Class description:
Manipulations with a specific Submission.
Method signatures and docstrings:
- def get(self, submission): Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, chec... | Implement the Python class `SubmissionByID` described below.
Class description:
Manipulations with a specific Submission.
Method signatures and docstrings:
- def get(self, submission): Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, chec... | 821c9cae985751a129b3be1ad08b8ad295d0a3d8 | <|skeleton|>
class SubmissionByID:
"""Manipulations with a specific Submission."""
def get(self, submission):
"""Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, check SubmissionManager for remote Submission by UUID, if not... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubmissionByID:
"""Manipulations with a specific Submission."""
def get(self, submission):
"""Get Submission details by ID. If submission is not found locally in database, a None submission will be returned. In this event, check SubmissionManager for remote Submission by UUID, if not found, throw... | the_stack_v2_python_sparse | app/modules/submissions/resources.py | Emily-Ke/houston | train | 0 |
f748a21c4217748fb2f34586dfe1d6b4312712f6 | [
"if not root:\n return\nself.getMinimumDifferenceRecur(root.left, data)\ndata.append(root.val)\nself.getMinimumDifferenceRecur(root.right, data)",
"data = []\nself.getMinimumDifferenceRecur(root, data)\nmin_diff = float('inf')\nfor i in range(1, len(data)):\n if data[i] - data[i - 1] < min_diff:\n mi... | <|body_start_0|>
if not root:
return
self.getMinimumDifferenceRecur(root.left, data)
data.append(root.val)
self.getMinimumDifferenceRecur(root.right, data)
<|end_body_0|>
<|body_start_1|>
data = []
self.getMinimumDifferenceRecur(root, data)
min_diff =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getMinimumDifferenceRecur(self, root, data):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def getMinimumDifference(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
... | stack_v2_sparse_classes_75kplus_train_009079 | 1,062 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "getMinimumDifferenceRecur",
"signature": "def getMinimumDifferenceRecur(self, root, data)"
},
{
"docstring": ":type root: TreeNode :rtype: int",
"name": "getMinimumDifference",
"signature": "def getMinimumDifference(self, root)"... | 2 | stack_v2_sparse_classes_30k_train_003289 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMinimumDifferenceRecur(self, root, data): :type root: TreeNode :rtype: int
- def getMinimumDifference(self, root): :type root: TreeNode :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMinimumDifferenceRecur(self, root, data): :type root: TreeNode :rtype: int
- def getMinimumDifference(self, root): :type root: TreeNode :rtype: int
<|skeleton|>
class Sol... | 37ece0a8e92a41ced2b4ce0f2d8dda3826b915ae | <|skeleton|>
class Solution:
def getMinimumDifferenceRecur(self, root, data):
""":type root: TreeNode :rtype: int"""
<|body_0|>
def getMinimumDifference(self, root):
""":type root: TreeNode :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getMinimumDifferenceRecur(self, root, data):
""":type root: TreeNode :rtype: int"""
if not root:
return
self.getMinimumDifferenceRecur(root.left, data)
data.append(root.val)
self.getMinimumDifferenceRecur(root.right, data)
def getMinimumDi... | the_stack_v2_python_sparse | Q530MinimumAbsoluteDifferenceinBST.py | ShenTonyM/LeetCode-Learn | train | 0 | |
0d1063036868595795e41de81e915077db2296d4 | [
"self._conn = Http()\nself._client_key = client_key\nself._output = output",
"request_params = urlencode(kwargs)\nuri = u'%s?%s&ywsid=%s&output=%s' % (base_url, request_params, self._client_key, self._output)\nself.LOG.debug('_http_request() - URI: %s', uri)\nheader, response = self._conn.request(uri, method='GET... | <|body_start_0|>
self._conn = Http()
self._client_key = client_key
self._output = output
<|end_body_0|>
<|body_start_1|>
request_params = urlencode(kwargs)
uri = u'%s?%s&ywsid=%s&output=%s' % (base_url, request_params, self._client_key, self._output)
self.LOG.debug('_htt... | Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection. | HttpApiClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
<|body_0|>
def _http_request(self, base_url, **kwargs):... | stack_v2_sparse_classes_75kplus_train_009080 | 8,345 | no_license | [
{
"docstring": "Initialize base http client.",
"name": "__init__",
"signature": "def __init__(self, client_key, output)"
},
{
"docstring": "Perform an HTTP Request using base_url and parameters given by kwargs. Results are expected to be given in JSON format and are parsed to python data structu... | 2 | stack_v2_sparse_classes_30k_train_026578 | Implement the Python class `HttpApiClient` described below.
Class description:
Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection.
Method signatures and docstrings:
- def __init__(self, client_key, output): Initialize base http client.
- def _http_re... | Implement the Python class `HttpApiClient` described below.
Class description:
Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection.
Method signatures and docstrings:
- def __init__(self, client_key, output): Initialize base http client.
- def _http_re... | 8390a0139137574ab237b3ff5fe8ea61e8a0b76b | <|skeleton|>
class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
<|body_0|>
def _http_request(self, base_url, **kwargs):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HttpApiClient:
"""Base implementation for an HTTP API Client. Used by the different API implementation objects to manage Http connection."""
def __init__(self, client_key, output):
"""Initialize base http client."""
self._conn = Http()
self._client_key = client_key
self._o... | the_stack_v2_python_sparse | data/input/adamhadani/python-yelp/yelp/api.py | bopopescu/pythonanalyzer | train | 0 |
872203336420d05f7776ca38a46f0947a0c0de1e | [
"self.source = source\nself.line_num = 0\nreturn",
"s = self.source.readline()\nself.line_num += 1\nreturn s"
] | <|body_start_0|>
self.source = source
self.line_num = 0
return
<|end_body_0|>
<|body_start_1|>
s = self.source.readline()
self.line_num += 1
return s
<|end_body_1|>
| FileWithLineNum | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileWithLineNum:
def __init__(self, source):
"""start at line 0"""
<|body_0|>
def read(self, bytes):
"""read the next line and inc the line number"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.source = source
self.line_num = 0
... | stack_v2_sparse_classes_75kplus_train_009081 | 1,785 | no_license | [
{
"docstring": "start at line 0",
"name": "__init__",
"signature": "def __init__(self, source)"
},
{
"docstring": "read the next line and inc the line number",
"name": "read",
"signature": "def read(self, bytes)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012370 | Implement the Python class `FileWithLineNum` described below.
Class description:
Implement the FileWithLineNum class.
Method signatures and docstrings:
- def __init__(self, source): start at line 0
- def read(self, bytes): read the next line and inc the line number | Implement the Python class `FileWithLineNum` described below.
Class description:
Implement the FileWithLineNum class.
Method signatures and docstrings:
- def __init__(self, source): start at line 0
- def read(self, bytes): read the next line and inc the line number
<|skeleton|>
class FileWithLineNum:
def __init... | eba6c1489b503fdcf040a126942643b355867bcd | <|skeleton|>
class FileWithLineNum:
def __init__(self, source):
"""start at line 0"""
<|body_0|>
def read(self, bytes):
"""read the next line and inc the line number"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FileWithLineNum:
def __init__(self, source):
"""start at line 0"""
self.source = source
self.line_num = 0
return
def read(self, bytes):
"""read the next line and inc the line number"""
s = self.source.readline()
self.line_num += 1
return s
| the_stack_v2_python_sparse | src/ibm/teal/util/xml_file_reader.py | ppjsand/pyteal | train | 1 | |
d941014e19a1ea98ecc7b73d26a05e3917ee6bb1 | [
"spiketrains = []\nwith open(dir + pattern.format(idx=idx), 'r') as fl:\n for line in fl:\n spiketrains.append([int(e.strip()) for e in line.split(',') if e != '\\n'])\nreturn spiketrains",
"lst_spiketrains = SpiketrainPlotter.load_spiketrain(**kwargs)\nx_pos = []\ny_pos = []\nfor i, spiketrain in enume... | <|body_start_0|>
spiketrains = []
with open(dir + pattern.format(idx=idx), 'r') as fl:
for line in fl:
spiketrains.append([int(e.strip()) for e in line.split(',') if e != '\n'])
return spiketrains
<|end_body_0|>
<|body_start_1|>
lst_spiketrains = SpiketrainPl... | SpiketrainPlotter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpiketrainPlotter:
def load_spiketrain(dir: str='../HH-SGD/mnist/', idx: int=10, pattern: str='OUT_POISSON_{idx}.txt') -> List[List[int]]:
"""from a file, load spiketrains into a list of lists ### Parameters: - `dir : str` directory to look for the spiketrains in (defaults to `'../HH-SGD... | stack_v2_sparse_classes_75kplus_train_009082 | 3,295 | permissive | [
{
"docstring": "from a file, load spiketrains into a list of lists ### Parameters: - `dir : str` directory to look for the spiketrains in (defaults to `'../HH-SGD/mnist/'`) - `idx : int` index of file (defaults to `10`) - `pattern : str` pattern to get the filename, appended to `dir` to get full path (defaults ... | 3 | null | Implement the Python class `SpiketrainPlotter` described below.
Class description:
Implement the SpiketrainPlotter class.
Method signatures and docstrings:
- def load_spiketrain(dir: str='../HH-SGD/mnist/', idx: int=10, pattern: str='OUT_POISSON_{idx}.txt') -> List[List[int]]: from a file, load spiketrains into a lis... | Implement the Python class `SpiketrainPlotter` described below.
Class description:
Implement the SpiketrainPlotter class.
Method signatures and docstrings:
- def load_spiketrain(dir: str='../HH-SGD/mnist/', idx: int=10, pattern: str='OUT_POISSON_{idx}.txt') -> List[List[int]]: from a file, load spiketrains into a lis... | a387bbee59b34a47ee99d470eb90564cde96d861 | <|skeleton|>
class SpiketrainPlotter:
def load_spiketrain(dir: str='../HH-SGD/mnist/', idx: int=10, pattern: str='OUT_POISSON_{idx}.txt') -> List[List[int]]:
"""from a file, load spiketrains into a list of lists ### Parameters: - `dir : str` directory to look for the spiketrains in (defaults to `'../HH-SGD... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpiketrainPlotter:
def load_spiketrain(dir: str='../HH-SGD/mnist/', idx: int=10, pattern: str='OUT_POISSON_{idx}.txt') -> List[List[int]]:
"""from a file, load spiketrains into a list of lists ### Parameters: - `dir : str` directory to look for the spiketrains in (defaults to `'../HH-SGD/mnist/'`) - `... | the_stack_v2_python_sparse | plotting/plot_poisson.py | Mustafa-pnevma-galinis/BNBP | train | 0 | |
d0ff635c84d8451fd8401180185b67c528f5c8b5 | [
"dst_url = ''.join(self.request.path.split('esb/', 1))\ndst_url = f\"/api/{dst_url.split('/api/', 1)[1]}\"\ntry:\n view, args, kwargs = resolve(dst_url)\nexcept Resolver404:\n raise exceptions.UrlNotExistError()\ndst_views_objects = view.cls(request=self.request)\ntry:\n action = view.actions[self.request.... | <|body_start_0|>
dst_url = ''.join(self.request.path.split('esb/', 1))
dst_url = f"/api/{dst_url.split('/api/', 1)[1]}"
try:
view, args, kwargs = resolve(dst_url)
except Resolver404:
raise exceptions.UrlNotExistError()
dst_views_objects = view.cls(request=... | LogESBViewSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LogESBViewSet:
def check_permissions(self, request):
"""重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法"""
<|body_0|>
def call(self, request):
"""访问esb接口"""
<|body_1|>
def request_params_regroup(self, qu... | stack_v2_sparse_classes_75kplus_train_009083 | 6,866 | permissive | [
{
"docstring": "重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法",
"name": "check_permissions",
"signature": "def check_permissions(self, request)"
},
{
"docstring": "访问esb接口",
"name": "call",
"signature": "def call(self, request)"
},
... | 3 | stack_v2_sparse_classes_30k_test_002696 | Implement the Python class `LogESBViewSet` described below.
Class description:
Implement the LogESBViewSet class.
Method signatures and docstrings:
- def check_permissions(self, request): 重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法
- def call(self, request): 访问es... | Implement the Python class `LogESBViewSet` described below.
Class description:
Implement the LogESBViewSet class.
Method signatures and docstrings:
- def check_permissions(self, request): 重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法
- def call(self, request): 访问es... | 85107762102ba2c72dcfb30fcf8986e146c03889 | <|skeleton|>
class LogESBViewSet:
def check_permissions(self, request):
"""重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法"""
<|body_0|>
def call(self, request):
"""访问esb接口"""
<|body_1|>
def request_params_regroup(self, qu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LogESBViewSet:
def check_permissions(self, request):
"""重写rest_framework.views.APIView，目的是为了resolve对应path的view以获得对应的view的get_permissions以及has_permission方法"""
dst_url = ''.join(self.request.path.split('esb/', 1))
dst_url = f"/api/{dst_url.split('/api/', 1)[1]}"
try:
... | the_stack_v2_python_sparse | apps/esb/views.py | jiazhizhong/bk-log | train | 0 | |
c4b37f93ec72b2ccad83b5372a8e2c72f6665a35 | [
"super().__init__(*args, master=master, **kwargs)\nself._master = master\nself.columns, self.contents = columns_and_contents\nself.columns.insert(0, '#')\nfor i, content in enumerate(self.contents):\n content.insert(0, i + 1)\nself._send_cancel_request = send_cancel_request\nself._send_accepted_request = send_ac... | <|body_start_0|>
super().__init__(*args, master=master, **kwargs)
self._master = master
self.columns, self.contents = columns_and_contents
self.columns.insert(0, '#')
for i, content in enumerate(self.contents):
content.insert(0, i + 1)
self._send_cancel_reques... | Widget to display current active students requesting for question resolution in rows and columns | ListView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ListView:
"""Widget to display current active students requesting for question resolution in rows and columns"""
def __init__(self, master, columns_and_contents, send_cancel_request, send_accepted_request, *args, **kwargs):
""":param master: master component :param columns_and_conten... | stack_v2_sparse_classes_75kplus_train_009084 | 12,278 | no_license | [
{
"docstring": ":param master: master component :param columns_and_contents: [], [[]] the column names and contents to display :param send_cancel_request: external function offer by the controller :param send_accepted_request: external function offer by the controller :param args: :param kwargs:",
"name": "... | 5 | stack_v2_sparse_classes_30k_train_052248 | Implement the Python class `ListView` described below.
Class description:
Widget to display current active students requesting for question resolution in rows and columns
Method signatures and docstrings:
- def __init__(self, master, columns_and_contents, send_cancel_request, send_accepted_request, *args, **kwargs): ... | Implement the Python class `ListView` described below.
Class description:
Widget to display current active students requesting for question resolution in rows and columns
Method signatures and docstrings:
- def __init__(self, master, columns_and_contents, send_cancel_request, send_accepted_request, *args, **kwargs): ... | 2de10943d13dd0a09fb6ef7f129224a1a4f7e5ba | <|skeleton|>
class ListView:
"""Widget to display current active students requesting for question resolution in rows and columns"""
def __init__(self, master, columns_and_contents, send_cancel_request, send_accepted_request, *args, **kwargs):
""":param master: master component :param columns_and_conten... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ListView:
"""Widget to display current active students requesting for question resolution in rows and columns"""
def __init__(self, master, columns_and_contents, send_cancel_request, send_accepted_request, *args, **kwargs):
""":param master: master component :param columns_and_contents: [], [[]] ... | the_stack_v2_python_sparse | CSSE7030/assign3/demo/assignment3_45407422/view.py | Maplexc/UQ-IT | train | 1 |
0ed27124791a1a0e70c27d5e6ba55891f41eea98 | [
"if not mail:\n raise ValueError(_('The mail must be set'))\nmail = self.normalize_email(mail)\nuser = self.model(mail=mail, **extra_fields)\nuser.set_password(password)\nuser.save()\nreturn user",
"extra_fields.setdefault('is_staff', True)\nextra_fields.setdefault('is_superuser', True)\nextra_fields.setdefaul... | <|body_start_0|>
if not mail:
raise ValueError(_('The mail must be set'))
mail = self.normalize_email(mail)
user = self.model(mail=mail, **extra_fields)
user.set_password(password)
user.save()
return user
<|end_body_0|>
<|body_start_1|>
extra_fields.s... | Custom user model manager where mail is the unique identifiers for authentication instead of usernames. | CustomUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where mail is the unique identifiers for authentication instead of usernames."""
def create_user(self, mail, password, **extra_fields):
"""Create and save a User with the given mail and password."""
<|body_0|>
def create_su... | stack_v2_sparse_classes_75kplus_train_009085 | 1,316 | no_license | [
{
"docstring": "Create and save a User with the given mail and password.",
"name": "create_user",
"signature": "def create_user(self, mail, password, **extra_fields)"
},
{
"docstring": "Create and save a SuperUser with the given mail and password.",
"name": "create_superuser",
"signature... | 2 | stack_v2_sparse_classes_30k_train_038400 | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where mail is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, mail, password, **extra_fields): Create and save a User with the given ma... | Implement the Python class `CustomUserManager` described below.
Class description:
Custom user model manager where mail is the unique identifiers for authentication instead of usernames.
Method signatures and docstrings:
- def create_user(self, mail, password, **extra_fields): Create and save a User with the given ma... | def86352c8d68281900688b1b95621c28848ccf0 | <|skeleton|>
class CustomUserManager:
"""Custom user model manager where mail is the unique identifiers for authentication instead of usernames."""
def create_user(self, mail, password, **extra_fields):
"""Create and save a User with the given mail and password."""
<|body_0|>
def create_su... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomUserManager:
"""Custom user model manager where mail is the unique identifiers for authentication instead of usernames."""
def create_user(self, mail, password, **extra_fields):
"""Create and save a User with the given mail and password."""
if not mail:
raise ValueError(... | the_stack_v2_python_sparse | accounts/managers.py | der-bernd/BiloPortal | train | 0 |
3197c074ec4b258664ae95b1e1c98f6b730298fd | [
"parser.add_argument('--restricted', help='The key is resricted - can only take specific values', action='store_true', default=False)\nparser.add_argument('--readonly', help='The key is readonly - can only be changed with extra effort', action='store_true', default=False)\nparser.add_argument('--noaudit', help=\"Ch... | <|body_start_0|>
parser.add_argument('--restricted', help='The key is resricted - can only take specific values', action='store_true', default=False)
parser.add_argument('--readonly', help='The key is readonly - can only be changed with extra effort', action='store_true', default=False)
parser.a... | Command to add a new key | Command | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Command:
"""Command to add a new key"""
def parseArgs(self, parser):
"""The args"""
<|body_0|>
def handle(self, namespace):
"""Base Command line handler"""
<|body_1|>
def validateKeytype(self, keytype):
"""Work out which type it should be"""
... | stack_v2_sparse_classes_75kplus_train_009086 | 4,040 | no_license | [
{
"docstring": "The args",
"name": "parseArgs",
"signature": "def parseArgs(self, parser)"
},
{
"docstring": "Base Command line handler",
"name": "handle",
"signature": "def handle(self, namespace)"
},
{
"docstring": "Work out which type it should be",
"name": "validateKeytyp... | 3 | stack_v2_sparse_classes_30k_train_024471 | Implement the Python class `Command` described below.
Class description:
Command to add a new key
Method signatures and docstrings:
- def parseArgs(self, parser): The args
- def handle(self, namespace): Base Command line handler
- def validateKeytype(self, keytype): Work out which type it should be | Implement the Python class `Command` described below.
Class description:
Command to add a new key
Method signatures and docstrings:
- def parseArgs(self, parser): The args
- def handle(self, namespace): Base Command line handler
- def validateKeytype(self, keytype): Work out which type it should be
<|skeleton|>
clas... | 75a0b877878d1e8db3a071a2b46a4c324f6b422c | <|skeleton|>
class Command:
"""Command to add a new key"""
def parseArgs(self, parser):
"""The args"""
<|body_0|>
def handle(self, namespace):
"""Base Command line handler"""
<|body_1|>
def validateKeytype(self, keytype):
"""Work out which type it should be"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Command:
"""Command to add a new key"""
def parseArgs(self, parser):
"""The args"""
parser.add_argument('--restricted', help='The key is resricted - can only take specific values', action='store_true', default=False)
parser.add_argument('--readonly', help='The key is readonly - ca... | the_stack_v2_python_sparse | hostinfo/host/commands/cmd_hostinfo_addkey.py | dwagon/Hostinfo | train | 8 |
4ec90ad0420feed893fb3353d225ec566301bdf1 | [
"payload['routerId'] = self.otp_router\npayload['algorithm'] = self.algorithm\nheaders = {'Accept': 'application/json'}\nisochrone_response = requests.get(self.isochrone_url, params=payload, headers=headers)\ntry:\n json_poly = json.loads(isochrone_response.content.decode('utf-8'))\nexcept:\n json_poly = json... | <|body_start_0|>
payload['routerId'] = self.otp_router
payload['algorithm'] = self.algorithm
headers = {'Accept': 'application/json'}
isochrone_response = requests.get(self.isochrone_url, params=payload, headers=headers)
try:
json_poly = json.loads(isochrone_response.... | Class based view for fetching isochrone and finding destinations of interest within it. | FindReachableDestinations | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FindReachableDestinations:
"""Class based view for fetching isochrone and finding destinations of interest within it."""
def isochrone(self, payload):
"""Make request to Open Trip Planner for isochrone geometry. Take the provided args and return OTP JSON."""
<|body_0|>
d... | stack_v2_sparse_classes_75kplus_train_009087 | 22,560 | permissive | [
{
"docstring": "Make request to Open Trip Planner for isochrone geometry. Take the provided args and return OTP JSON.",
"name": "isochrone",
"signature": "def isochrone(self, payload)"
},
{
"docstring": "When a GET hits this endpoint, calculate an isochrone and find destinations within it. Retur... | 2 | null | Implement the Python class `FindReachableDestinations` described below.
Class description:
Class based view for fetching isochrone and finding destinations of interest within it.
Method signatures and docstrings:
- def isochrone(self, payload): Make request to Open Trip Planner for isochrone geometry. Take the provid... | Implement the Python class `FindReachableDestinations` described below.
Class description:
Class based view for fetching isochrone and finding destinations of interest within it.
Method signatures and docstrings:
- def isochrone(self, payload): Make request to Open Trip Planner for isochrone geometry. Take the provid... | 53b493361f05db7af08df24039c9e5c0968a2fd7 | <|skeleton|>
class FindReachableDestinations:
"""Class based view for fetching isochrone and finding destinations of interest within it."""
def isochrone(self, payload):
"""Make request to Open Trip Planner for isochrone geometry. Take the provided args and return OTP JSON."""
<|body_0|>
d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FindReachableDestinations:
"""Class based view for fetching isochrone and finding destinations of interest within it."""
def isochrone(self, payload):
"""Make request to Open Trip Planner for isochrone geometry. Take the provided args and return OTP JSON."""
payload['routerId'] = self.otp... | the_stack_v2_python_sparse | python/cac_tripplanner/destinations/views.py | flibbertigibbet/cac-tripplanner | train | 2 |
fc07a31e8a93ca3e15da71309f6ce4cfbaa22194 | [
"try:\n return self._select.first_selected_option.get_attribute('innerHTML').strip()\nexcept exceptions.NoSuchElementException as e:\n if e.msg == 'No options are selected':\n return ''\n raise",
"if value in self.value:\n return\nfor i, v in enumerate(self.values):\n if value in v:\n ... | <|body_start_0|>
try:
return self._select.first_selected_option.get_attribute('innerHTML').strip()
except exceptions.NoSuchElementException as e:
if e.msg == 'No options are selected':
return ''
raise
<|end_body_0|>
<|body_start_1|>
if value i... | Custom combobox. | ComboBox | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ComboBox:
"""Custom combobox."""
def value(self):
"""Combobox value."""
<|body_0|>
def value(self, value):
"""Set combobox value."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
return self._select.first_selected_option.get_attr... | stack_v2_sparse_classes_75kplus_train_009088 | 1,546 | no_license | [
{
"docstring": "Combobox value.",
"name": "value",
"signature": "def value(self)"
},
{
"docstring": "Set combobox value.",
"name": "value",
"signature": "def value(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021058 | Implement the Python class `ComboBox` described below.
Class description:
Custom combobox.
Method signatures and docstrings:
- def value(self): Combobox value.
- def value(self, value): Set combobox value. | Implement the Python class `ComboBox` described below.
Class description:
Custom combobox.
Method signatures and docstrings:
- def value(self): Combobox value.
- def value(self, value): Set combobox value.
<|skeleton|>
class ComboBox:
"""Custom combobox."""
def value(self):
"""Combobox value."""
... | 78950b95d98e791e6e5852aaef05ce9b7266be04 | <|skeleton|>
class ComboBox:
"""Custom combobox."""
def value(self):
"""Combobox value."""
<|body_0|>
def value(self, value):
"""Set combobox value."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ComboBox:
"""Custom combobox."""
def value(self):
"""Combobox value."""
try:
return self._select.first_selected_option.get_attribute('innerHTML').strip()
except exceptions.NoSuchElementException as e:
if e.msg == 'No options are selected':
r... | the_stack_v2_python_sparse | whale/decapod_ui/app/ui/combobox.py | Mirantis/whale | train | 1 |
66ada6ea65123fbced34bdc40f09528f9a3898a8 | [
"if len(nums) == 1:\n return [nums]\nn = len(nums)\nrec = []\nfor i in range(n):\n res = self.permute(nums[:i] + nums[i + 1:])\n for r in res:\n a = [nums[i]] + r\n rec.append(a)\nreturn rec",
"res = []\nrec = self.permute(nums)\nfor r in rec:\n if r in res:\n continue\n res.ap... | <|body_start_0|>
if len(nums) == 1:
return [nums]
n = len(nums)
rec = []
for i in range(n):
res = self.permute(nums[:i] + nums[i + 1:])
for r in res:
a = [nums[i]] + r
rec.append(a)
return rec
<|end_body_0|>
<|b... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def permute(self, nums):
"""leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permuteUnique(self, nums):
"""leetcode 47. Permutations II, 同题28 :type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_009089 | 2,030 | no_license | [
{
"docstring": "leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]",
"name": "permute",
"signature": "def permute(self, nums)"
},
{
"docstring": "leetcode 47. Permutations II, 同题28 :type nums: List[int] :rtype: List[List[int]]",
"name": "permuteUnique",
"signatu... | 3 | stack_v2_sparse_classes_30k_test_001958 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]
- def permuteUnique(self, nums): leetcode 47. Permutations II, 同题28 :type nu... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permute(self, nums): leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]
- def permuteUnique(self, nums): leetcode 47. Permutations II, 同题28 :type nu... | 8c0c2a8bcd51825e6902e4d03dabbaf6f303ba83 | <|skeleton|>
class Solution:
def permute(self, nums):
"""leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def permuteUnique(self, nums):
"""leetcode 47. Permutations II, 同题28 :type nums: List[int] :rtype: List[List[int]]"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def permute(self, nums):
"""leetcode 46 题题解 8.20 重做, 请好好反思 :type nums: List[int] :rtype: List[List[int]]"""
if len(nums) == 1:
return [nums]
n = len(nums)
rec = []
for i in range(n):
res = self.permute(nums[:i] + nums[i + 1:])
... | the_stack_v2_python_sparse | python_fundemental/28_permutation.py | Deanwinger/python_project | train | 0 | |
f54606f8d5746eecda25cec1c99b1ab0058a9ce7 | [
"layout = self.layout\nfor i in range(len(self.phobos_data)):\n name = self.phobos_data[i].name[2:].replace('_', ' ')\n self.phobos_data[i].draw(layout, name)\nif self.annotation_checks:\n box = layout.box()\n box.label(text='Include annotations:')\n for i in range(len(self.annotation_checks)):\n ... | <|body_start_0|>
layout = self.layout
for i in range(len(self.phobos_data)):
name = self.phobos_data[i].name[2:].replace('_', ' ')
self.phobos_data[i].draw(layout, name)
if self.annotation_checks:
box = layout.box()
box.label(text='Include annotati... | Temporary operator to add a generic object. | TempObjAddOperator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TempObjAddOperator:
"""Temporary operator to add a generic object."""
def draw(self, context):
"""Args: context: Returns:"""
<|body_0|>
def invoke(self, context, event):
"""Args: context: event: Returns:"""
<|body_1|>
def execute(self, context):
... | stack_v2_sparse_classes_75kplus_train_009090 | 17,163 | permissive | [
{
"docstring": "Args: context: Returns:",
"name": "draw",
"signature": "def draw(self, context)"
},
{
"docstring": "Args: context: event: Returns:",
"name": "invoke",
"signature": "def invoke(self, context, event)"
},
{
"docstring": "Args: context: Returns:",
"name": "execute... | 3 | stack_v2_sparse_classes_30k_train_032779 | Implement the Python class `TempObjAddOperator` described below.
Class description:
Temporary operator to add a generic object.
Method signatures and docstrings:
- def draw(self, context): Args: context: Returns:
- def invoke(self, context, event): Args: context: event: Returns:
- def execute(self, context): Args: co... | Implement the Python class `TempObjAddOperator` described below.
Class description:
Temporary operator to add a generic object.
Method signatures and docstrings:
- def draw(self, context): Args: context: Returns:
- def invoke(self, context, event): Args: context: event: Returns:
- def execute(self, context): Args: co... | 543d220c65bbee0e23e810d89307e23aa79eb0cd | <|skeleton|>
class TempObjAddOperator:
"""Temporary operator to add a generic object."""
def draw(self, context):
"""Args: context: Returns:"""
<|body_0|>
def invoke(self, context, event):
"""Args: context: event: Returns:"""
<|body_1|>
def execute(self, context):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TempObjAddOperator:
"""Temporary operator to add a generic object."""
def draw(self, context):
"""Args: context: Returns:"""
layout = self.layout
for i in range(len(self.phobos_data)):
name = self.phobos_data[i].name[2:].replace('_', ' ')
self.phobos_data[i... | the_stack_v2_python_sparse | phobos/blender/operators/generic.py | dfki-ric/phobos | train | 483 |
fd603bb71353611ebb3c52086591316ab594f730 | [
"date = getattr(model_instance, self.attname)\nif date is not None:\n if type(date) is str and re.match('\\\\d{4}-\\\\d{2}-\\\\d{2}', date):\n year = int(date[:4])\n month = int(date[5:7])\n day = int(date[8:])\n setattr(model_instance, self.attname, create_utc_time(year, month, day))... | <|body_start_0|>
date = getattr(model_instance, self.attname)
if date is not None:
if type(date) is str and re.match('\\d{4}-\\d{2}-\\d{2}', date):
year = int(date[:4])
month = int(date[5:7])
day = int(date[8:])
setattr(model_in... | PSTDateTimeField | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PSTDateTimeField:
def pre_save(self, model_instance, add):
"""Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone"""
<|body_0|>
def from_db_value(self, value, expression, connection):
"""Converts the value from the DB from UTC t... | stack_v2_sparse_classes_75kplus_train_009091 | 1,612 | no_license | [
{
"docstring": "Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone",
"name": "pre_save",
"signature": "def pre_save(self, model_instance, add)"
},
{
"docstring": "Converts the value from the DB from UTC time to PST time before returning to calling code",
... | 2 | stack_v2_sparse_classes_30k_train_034516 | Implement the Python class `PSTDateTimeField` described below.
Class description:
Implement the PSTDateTimeField class.
Method signatures and docstrings:
- def pre_save(self, model_instance, add): Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone
- def from_db_value(self, valu... | Implement the Python class `PSTDateTimeField` described below.
Class description:
Implement the PSTDateTimeField class.
Method signatures and docstrings:
- def pre_save(self, model_instance, add): Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone
- def from_db_value(self, valu... | 5152787e8db3b1c4a73362e8f06a117f5fadc817 | <|skeleton|>
class PSTDateTimeField:
def pre_save(self, model_instance, add):
"""Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone"""
<|body_0|>
def from_db_value(self, value, expression, connection):
"""Converts the value from the DB from UTC t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PSTDateTimeField:
def pre_save(self, model_instance, add):
"""Makes sure to convert the date to UTC time before saving if its in Canada/Pacific timezone"""
date = getattr(model_instance, self.attname)
if date is not None:
if type(date) is str and re.match('\\d{4}-\\d{2}-\\d... | the_stack_v2_python_sparse | csss-site/src/csss/PSTDateTimeField.py | CSSS/csss-site | train | 9 | |
bc46bfc9d45e338dfd0ea2ae7f65f5c759cbb2d5 | [
"self.__super = super(self.__decorator_class, self)\nself.__super.__init__(config, groupset, maxsize, drop)\nself.max_notification_size = maxsize",
"from svnmailer import stream\nfp = self.__super._getMailWriter(fp)\nself.url_fp = stream.TruncatingStream(self.url_fp, self.max_notification_size, True)\nreturn fp"
... | <|body_start_0|>
self.__super = super(self.__decorator_class, self)
self.__super.__init__(config, groupset, maxsize, drop)
self.max_notification_size = maxsize
<|end_body_0|>
<|body_start_1|>
from svnmailer import stream
fp = self.__super._getMailWriter(fp)
self.url_fp =... | Truncates the mail body after n bytes | URLTruncatingDecorator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class URLTruncatingDecorator:
"""Truncates the mail body after n bytes"""
def __init__(self, config, groupset, maxsize, drop):
"""Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one mail - `drop`: maximum number of mails :Types: - `maxsize`:... | stack_v2_sparse_classes_75kplus_train_009092 | 16,622 | permissive | [
{
"docstring": "Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one mail - `drop`: maximum number of mails :Types: - `maxsize`: ``int`` - `drop`: ``int``",
"name": "__init__",
"signature": "def __init__(self, config, groupset, maxsize, drop)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_049484 | Implement the Python class `URLTruncatingDecorator` described below.
Class description:
Truncates the mail body after n bytes
Method signatures and docstrings:
- def __init__(self, config, groupset, maxsize, drop): Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one ma... | Implement the Python class `URLTruncatingDecorator` described below.
Class description:
Truncates the mail body after n bytes
Method signatures and docstrings:
- def __init__(self, config, groupset, maxsize, drop): Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one ma... | faecefdabd8fbf6d40738a24004772020c244f64 | <|skeleton|>
class URLTruncatingDecorator:
"""Truncates the mail body after n bytes"""
def __init__(self, config, groupset, maxsize, drop):
"""Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one mail - `drop`: maximum number of mails :Types: - `maxsize`:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class URLTruncatingDecorator:
"""Truncates the mail body after n bytes"""
def __init__(self, config, groupset, maxsize, drop):
"""Initialization :Parameters: - `maxsize`: The maximum number of bytes that should be written into one mail - `drop`: maximum number of mails :Types: - `maxsize`: ``int`` - `d... | the_stack_v2_python_sparse | src/lib/svnmailer/notifier/_textmail.py | m-tmatma/svnmailer | train | 1 |
01df4017975a88fb8de2751e8e90419ba9ee75e9 | [
"super(RectangularConduitUnit, self).__init__(**kwargs)\nself._unit_type = RectangularConduitUnit.UNIT_TYPE\nself._unit_category = RectangularConduitUnit.UNIT_CATEGORY\nself.head_data = {'comment': HeadDataItem('', '', 0, 0, dtype=dt.STRING), 'distance': HeadDataItem(0.0, '{:>10}', 3, 0, dtype=dt.FLOAT, dps=3), 'ro... | <|body_start_0|>
super(RectangularConduitUnit, self).__init__(**kwargs)
self._unit_type = RectangularConduitUnit.UNIT_TYPE
self._unit_category = RectangularConduitUnit.UNIT_CATEGORY
self.head_data = {'comment': HeadDataItem('', '', 0, 0, dtype=dt.STRING), 'distance': HeadDataItem(0.0, '{... | RectangularConduitUnit | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RectangularConduitUnit:
def __init__(self, **kwargs):
"""Constructor."""
<|body_0|>
def readUnitData(self, unit_data, file_line):
"""Reads the given data into the object. See Also: isisunit. Args: unit_data (list): The raw file data to be processed."""
<|body... | stack_v2_sparse_classes_75kplus_train_009093 | 27,052 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "Reads the given data into the object. See Also: isisunit. Args: unit_data (list): The raw file data to be processed.",
"name": "readUnitData",
"signature": "def readUnitData(... | 3 | stack_v2_sparse_classes_30k_train_001584 | Implement the Python class `RectangularConduitUnit` described below.
Class description:
Implement the RectangularConduitUnit class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor.
- def readUnitData(self, unit_data, file_line): Reads the given data into the object. See Also: isisunit. A... | Implement the Python class `RectangularConduitUnit` described below.
Class description:
Implement the RectangularConduitUnit class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Constructor.
- def readUnitData(self, unit_data, file_line): Reads the given data into the object. See Also: isisunit. A... | e8e7249a511d52b29d34be0951d6a05f346b836c | <|skeleton|>
class RectangularConduitUnit:
def __init__(self, **kwargs):
"""Constructor."""
<|body_0|>
def readUnitData(self, unit_data, file_line):
"""Reads the given data into the object. See Also: isisunit. Args: unit_data (list): The raw file data to be processed."""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RectangularConduitUnit:
def __init__(self, **kwargs):
"""Constructor."""
super(RectangularConduitUnit, self).__init__(**kwargs)
self._unit_type = RectangularConduitUnit.UNIT_TYPE
self._unit_category = RectangularConduitUnit.UNIT_CATEGORY
self.head_data = {'comment': Hea... | the_stack_v2_python_sparse | ship/fmp/datunits/conduitunit.py | duncan-r/SHIP | train | 6 | |
6c8358280839c52e2e1fa03de7b5e988ab05fafc | [
"self._substs = {}\nself._var_config = var_config\nself._scope_config = scope_config\nfor var_id, var_value in var_config.items():\n key = '%%{var}%%'.format(var=var_id)\n self._substs[key] = str(var_value)\nfor scope_id, var_config in scope_config.items():\n for var_id, var_value in var_config.items():\n ... | <|body_start_0|>
self._substs = {}
self._var_config = var_config
self._scope_config = scope_config
for var_id, var_value in var_config.items():
key = '%%{var}%%'.format(var=var_id)
self._substs[key] = str(var_value)
for scope_id, var_config in scope_config... | A class representing substitution environment. | Substitution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Substitution:
"""A class representing substitution environment."""
def __init__(self, var_config: VarConfig, scope_config: ScopeConfig):
"""Initializes the substitution environment. Args: var_config: A configuration (concrete values) of pattern variables. scope_config: A configuratio... | stack_v2_sparse_classes_75kplus_train_009094 | 6,380 | permissive | [
{
"docstring": "Initializes the substitution environment. Args: var_config: A configuration (concrete values) of pattern variables. scope_config: A configuration (concrete values) of pattern scopes.",
"name": "__init__",
"signature": "def __init__(self, var_config: VarConfig, scope_config: ScopeConfig)"... | 2 | stack_v2_sparse_classes_30k_train_006423 | Implement the Python class `Substitution` described below.
Class description:
A class representing substitution environment.
Method signatures and docstrings:
- def __init__(self, var_config: VarConfig, scope_config: ScopeConfig): Initializes the substitution environment. Args: var_config: A configuration (concrete v... | Implement the Python class `Substitution` described below.
Class description:
A class representing substitution environment.
Method signatures and docstrings:
- def __init__(self, var_config: VarConfig, scope_config: ScopeConfig): Initializes the substitution environment. Args: var_config: A configuration (concrete v... | 44c0eb8c938302098ef7efae8cfd6b90bcfbb2d6 | <|skeleton|>
class Substitution:
"""A class representing substitution environment."""
def __init__(self, var_config: VarConfig, scope_config: ScopeConfig):
"""Initializes the substitution environment. Args: var_config: A configuration (concrete values) of pattern variables. scope_config: A configuratio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Substitution:
"""A class representing substitution environment."""
def __init__(self, var_config: VarConfig, scope_config: ScopeConfig):
"""Initializes the substitution environment. Args: var_config: A configuration (concrete values) of pattern variables. scope_config: A configuration (concrete v... | the_stack_v2_python_sparse | grr/core/grr_response_core/lib/interpolation.py | google/grr | train | 4,683 |
6d7b9e560e0fea1009ceff9bcfb444e20c280650 | [
"\"\"\"\n\t\tA flag to indicate whether or not a goal has not been reached.\n\t\tTrue means that a goal is in progress of being completed.\n\t\tFalse means that a goal has been completed (or not started\n\t\twith any goal)\n\t\t\"\"\"\nself.flag = False\nrospy.init_node('los_path_following')\nself.sub = rospy.Subsc... | <|body_start_0|>
"""
A flag to indicate whether or not a goal has not been reached.
True means that a goal is in progress of being completed.
False means that a goal has been completed (or not started
with any goal)
"""
self.flag = False
rospy.in... | This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created: los_path_following Subscribes to: /odometry/filtered Publishes to: /manta/thruste... | LosPathFollowing | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LosPathFollowing:
"""This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created: los_path_following Subscribes to: /od... | stack_v2_sparse_classes_75kplus_train_009095 | 10,684 | permissive | [
{
"docstring": "To initialize the ROS wrapper, the node, subscribers and publishers are set up. The high-level guidance and controller objects are also intialized. Lastly, dynamic reconfigure and action servers are set up.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring":... | 6 | stack_v2_sparse_classes_30k_train_028611 | Implement the Python class `LosPathFollowing` described below.
Class description:
This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created... | Implement the Python class `LosPathFollowing` described below.
Class description:
This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created... | a5b4a292b6b29b765cbe29d4701e6a8917adbb0a | <|skeleton|>
class LosPathFollowing:
"""This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created: los_path_following Subscribes to: /od... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LosPathFollowing:
"""This is the ROS wrapper class for the LOS class. Attributes: _feedback A vortex_msgs action that contains the distance to goal _result A vortex_msgs action, true if a goal is set within the sphereof acceptance, false if not Nodes created: los_path_following Subscribes to: /odometry/filter... | the_stack_v2_python_sparse | motion/los_guidance/scripts/old_los_guidance_euler.py | oysand/Vortex-AUV | train | 0 |
89287db9ca453d6775f00b091909301711461dd2 | [
"self.uname = 'testuser'\nself.email = 'test+courses@edx.org'\nself.password = 'foo'\nself.user = User.objects.create_user(self.uname, self.email, self.password)\nself.user.is_active = True\nself.user.is_staff = True\nself.user.save()\nself.course_data = {'template': 'i4x://edx/templates/course/Empty', 'org': 'MITx... | <|body_start_0|>
self.uname = 'testuser'
self.email = 'test+courses@edx.org'
self.password = 'foo'
self.user = User.objects.create_user(self.uname, self.email, self.password)
self.user.is_active = True
self.user.is_staff = True
self.user.save()
self.course... | Tests to validate Internationalization. | InternationalizationTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each... | stack_v2_sparse_classes_75kplus_train_009096 | 3,349 | no_license | [
{
"docstring": "These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each test case execution and deleted afterwards.",
"name": "setUp",
"signature": "def setUp(self)"
... | 4 | stack_v2_sparse_classes_30k_train_031401 | Implement the Python class `InternationalizationTest` described below.
Class description:
Tests to validate Internationalization.
Method signatures and docstrings:
- def setUp(self): These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so th... | Implement the Python class `InternationalizationTest` described below.
Class description:
Tests to validate Internationalization.
Method signatures and docstrings:
- def setUp(self): These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so th... | 5fa3a818c3d41bd9c3eb25122e1d376c8910269c | <|skeleton|>
class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InternationalizationTest:
"""Tests to validate Internationalization."""
def setUp(self):
"""These tests need a user in the DB so that the django Test Client can log them in. They inherit from the ModuleStoreTestCase class so that the mongodb collection will be cleared out before each test case ex... | the_stack_v2_python_sparse | ExtractFeatures/Data/pratik98/test_i18n.py | vivekaxl/LexisNexis | train | 9 |
00aebdf3dfd86c7ea7580ca6118a1db55fb135ab | [
"self.y = np.empty(0)\nself.ts_period = ts_period\nself.timestamp_interval = -1\nself.last_timestamp = -1\nself._fitted = False\nself.copy = copy\nif self.ts_period is None:\n raise ValueError(\"'ts_period' must be given.\")",
"if X.size != y.size:\n raise ValueError(\"'X' and 'y' size must match.\")\nif se... | <|body_start_0|>
self.y = np.empty(0)
self.ts_period = ts_period
self.timestamp_interval = -1
self.last_timestamp = -1
self._fitted = False
self.copy = copy
if self.ts_period is None:
raise ValueError("'ts_period' must be given.")
<|end_body_0|>
<|bod... | Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal to the value in the corresponding timestamp of the previous period. | TSNaiveSeasonal | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TSNaiveSeasonal:
"""Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal to the value in the corresponding times... | stack_v2_sparse_classes_75kplus_train_009097 | 12,299 | permissive | [
{
"docstring": "Init a Seasonal Naive Model.",
"name": "__init__",
"signature": "def __init__(self, ts_period: int, copy: bool=False)"
},
{
"docstring": "Fit a Seasonal Naive model.",
"name": "fit",
"signature": "def fit(self, X: np.ndarray, y: np.ndarray, **kwargs) -> 'TSNaiveSeasonal'"... | 3 | stack_v2_sparse_classes_30k_train_047613 | Implement the Python class `TSNaiveSeasonal` described below.
Class description:
Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal ... | Implement the Python class `TSNaiveSeasonal` described below.
Class description:
Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal ... | 61cc1f63fa055c7466151cfefa7baff8df1702b7 | <|skeleton|>
class TSNaiveSeasonal:
"""Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal to the value in the corresponding times... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TSNaiveSeasonal:
"""Seasonal Naive model for time-series forecasting. This model is similar to the Naive model, but instead of using only the very last observation from the fitted time-series, it is used the whole past period. Then, each prediction is equal to the value in the corresponding timestamp of the p... | the_stack_v2_python_sparse | tspymfe/_models.py | FelSiq/ts-pymfe | train | 9 |
0a5374403a8db9051262c8c53e7864242f46ea9b | [
"time.sleep(1)\ninterface = 'nothing'\nstatus, interface = self.target.run(\"ifconfig | grep '^enp' | awk '{print $1}'\")\nstatus, output = self.target.run(\"ifconfig %s | grep 'inet6 addr:' | awk '{print $3}'\" % interface)\nif output.split('%')[0] == '':\n assertEqual(status, 0, msg='Target ipv6 address get fa... | <|body_start_0|>
time.sleep(1)
interface = 'nothing'
status, interface = self.target.run("ifconfig | grep '^enp' | awk '{print $1}'")
status, output = self.target.run("ifconfig %s | grep 'inet6 addr:' | awk '{print $3}'" % interface)
if output.split('%')[0] == '':
ass... | @class CommEthernet | CommEthernet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommEthernet:
"""@class CommEthernet"""
def get_ipv6(self):
"""@fn get_ipv6 @param self @return"""
<|body_0|>
def get_ipv4(self):
"""@fn get_ipv4 @param self @return"""
<|body_1|>
def get_interface(self):
"""@fn get_interface @param self @ret... | stack_v2_sparse_classes_75kplus_train_009098 | 4,423 | permissive | [
{
"docstring": "@fn get_ipv6 @param self @return",
"name": "get_ipv6",
"signature": "def get_ipv6(self)"
},
{
"docstring": "@fn get_ipv4 @param self @return",
"name": "get_ipv4",
"signature": "def get_ipv4(self)"
},
{
"docstring": "@fn get_interface @param self @return",
"nam... | 5 | stack_v2_sparse_classes_30k_test_000229 | Implement the Python class `CommEthernet` described below.
Class description:
@class CommEthernet
Method signatures and docstrings:
- def get_ipv6(self): @fn get_ipv6 @param self @return
- def get_ipv4(self): @fn get_ipv4 @param self @return
- def get_interface(self): @fn get_interface @param self @return
- def test_... | Implement the Python class `CommEthernet` described below.
Class description:
@class CommEthernet
Method signatures and docstrings:
- def get_ipv6(self): @fn get_ipv6 @param self @return
- def get_ipv4(self): @fn get_ipv4 @param self @return
- def get_interface(self): @fn get_interface @param self @return
- def test_... | 786a4de29c30b47f885d8ad9cb2d110a08919ebd | <|skeleton|>
class CommEthernet:
"""@class CommEthernet"""
def get_ipv6(self):
"""@fn get_ipv6 @param self @return"""
<|body_0|>
def get_ipv4(self):
"""@fn get_ipv4 @param self @return"""
<|body_1|>
def get_interface(self):
"""@fn get_interface @param self @ret... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommEthernet:
"""@class CommEthernet"""
def get_ipv6(self):
"""@fn get_ipv6 @param self @return"""
time.sleep(1)
interface = 'nothing'
status, interface = self.target.run("ifconfig | grep '^enp' | awk '{print $1}'")
status, output = self.target.run("ifconfig %s | g... | the_stack_v2_python_sparse | meta-iotqa/lib/oeqa/runtime/connectivity/ethernet/ethernet.py | intel/intel-iot-refkit | train | 38 |
4b4bea26936fa928500a4ab982c04e05346361f2 | [
"super().__init__()\nself.window_size = window_size\nself.return_cs = return_cs",
"if len(target.shape) == 3:\n try:\n target = tensor_one_hot(target, n_classes=yhat.shape[1])\n except Exception:\n target = target.unsqueeze(1)\nsim, cs = ssim(yhat, target, window_size=self.window_size)\nloss =... | <|body_start_0|>
super().__init__()
self.window_size = window_size
self.return_cs = return_cs
<|end_body_0|>
<|body_start_1|>
if len(target.shape) == 3:
try:
target = tensor_one_hot(target, n_classes=yhat.shape[1])
except Exception:
... | SSIM | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SSIM:
def __init__(self, window_size: int=11, return_cs: bool=False, **kwargs) -> None:
"""Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- window_size : int, default=11 Size of the gaussian kernel. return_cs : bool, default=False Retur... | stack_v2_sparse_classes_75kplus_train_009099 | 5,322 | permissive | [
{
"docstring": "Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- window_size : int, default=11 Size of the gaussian kernel. return_cs : bool, default=False Return also the the contrast sensitivity coeff.",
"name": "__init__",
"signature": "def __init__... | 2 | stack_v2_sparse_classes_30k_train_017128 | Implement the Python class `SSIM` described below.
Class description:
Implement the SSIM class.
Method signatures and docstrings:
- def __init__(self, window_size: int=11, return_cs: bool=False, **kwargs) -> None: Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- win... | Implement the Python class `SSIM` described below.
Class description:
Implement the SSIM class.
Method signatures and docstrings:
- def __init__(self, window_size: int=11, return_cs: bool=False, **kwargs) -> None: Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- win... | 7f79405012eb934b419bbdba8de23f35e840ca85 | <|skeleton|>
class SSIM:
def __init__(self, window_size: int=11, return_cs: bool=False, **kwargs) -> None:
"""Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- window_size : int, default=11 Size of the gaussian kernel. return_cs : bool, default=False Retur... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SSIM:
def __init__(self, window_size: int=11, return_cs: bool=False, **kwargs) -> None:
"""Structural similarity index loss. I.e. the dissimilarity: (1 - SSIM(x, y)) / 2 Parameters ---------- window_size : int, default=11 Size of the gaussian kernel. return_cs : bool, default=False Return also the the... | the_stack_v2_python_sparse | cellseg_models_pytorch/losses/criterions/ssim.py | okunator/cellseg_models.pytorch | train | 43 |
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