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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fe1b68be12c5b5606e3c516dd1543be259d091e3 | [
"date_formatter = self.request.locale.dates.getFormatter('date', 'short')\n\ndef _q_data_item(q):\n item = {}\n item['qid'] = 'q_%s' % q.question_id\n if q.question_number:\n item['subject'] = u'Q %s %s' % (q.question_number, q.short_name)\n else:\n item['subject'] = q.short_name\n item... | <|body_start_0|>
date_formatter = self.request.locale.dates.getFormatter('date', 'short')
def _q_data_item(q):
item = {}
item['qid'] = 'q_%s' % q.question_id
if q.question_number:
item['subject'] = u'Q %s %s' % (q.question_number, q.short_name)
... | QuestionInStateViewlet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuestionInStateViewlet:
def getData(self):
"""return the data of the query"""
<|body_0|>
def update(self):
"""refresh the query"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
date_formatter = self.request.locale.dates.getFormatter('date', 'short')
... | stack_v2_sparse_classes_75kplus_train_000600 | 35,739 | no_license | [
{
"docstring": "return the data of the query",
"name": "getData",
"signature": "def getData(self)"
},
{
"docstring": "refresh the query",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010213 | Implement the Python class `QuestionInStateViewlet` described below.
Class description:
Implement the QuestionInStateViewlet class.
Method signatures and docstrings:
- def getData(self): return the data of the query
- def update(self): refresh the query | Implement the Python class `QuestionInStateViewlet` described below.
Class description:
Implement the QuestionInStateViewlet class.
Method signatures and docstrings:
- def getData(self): return the data of the query
- def update(self): refresh the query
<|skeleton|>
class QuestionInStateViewlet:
def getData(sel... | 5cf0ba31dfbff8d2c1b4aa8ab6f69c7a0ae9870d | <|skeleton|>
class QuestionInStateViewlet:
def getData(self):
"""return the data of the query"""
<|body_0|>
def update(self):
"""refresh the query"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuestionInStateViewlet:
def getData(self):
"""return the data of the query"""
date_formatter = self.request.locale.dates.getFormatter('date', 'short')
def _q_data_item(q):
item = {}
item['qid'] = 'q_%s' % q.question_id
if q.question_number:
... | the_stack_v2_python_sparse | bungeni.buildout/branches/bungeni.buildout-refactor-2010-06-02/src/bungeni.main/bungeni/ui/viewlets/workspace.py | malangalanga/bungeni-portal | train | 0 | |
67dd779461ed441da20bb6fef8b6feb65584e4f9 | [
"startTime = datetime.datetime.now()\nprint('Selecting important buildings... \\n', end='\\r')\nsys.stdout.write('\\x1b[F')\nclient = dml.pymongo.MongoClient()\nrepo = client.repo\nrepo.authenticate('bkin18_cjoe_klovett_sbrz', 'bkin18_cjoe_klovett_sbrz')\ndb = client.repo\ncollection = db['bkin18_cjoe_kl... | <|body_start_0|>
startTime = datetime.datetime.now()
print('Selecting important buildings... \n', end='\r')
sys.stdout.write('\x1b[F')
client = dml.pymongo.MongoClient()
repo = client.repo
repo.authenticate('bkin18_cjoe_klovett_sbrz', 'bkin18_cjoe_klovett_sbrz'... | selectImpBuilds | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class selectImpBuilds:
def execute(trial=False):
"""Select the addresses of important buildings from the Property Assessment data set"""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing eve... | stack_v2_sparse_classes_75kplus_train_000601 | 4,548 | no_license | [
{
"docstring": "Select the addresses of important buildings from the Property Assessment data set",
"name": "execute",
"signature": "def execute(trial=False)"
},
{
"docstring": "Create the provenance document describing everything happening in this script. Each run of the script will generate a ... | 2 | null | Implement the Python class `selectImpBuilds` described below.
Class description:
Implement the selectImpBuilds class.
Method signatures and docstrings:
- def execute(trial=False): Select the addresses of important buildings from the Property Assessment data set
- def provenance(doc=prov.model.ProvDocument(), startTim... | Implement the Python class `selectImpBuilds` described below.
Class description:
Implement the selectImpBuilds class.
Method signatures and docstrings:
- def execute(trial=False): Select the addresses of important buildings from the Property Assessment data set
- def provenance(doc=prov.model.ProvDocument(), startTim... | 97e72731ffadbeae57d7a332decd58706e7c08de | <|skeleton|>
class selectImpBuilds:
def execute(trial=False):
"""Select the addresses of important buildings from the Property Assessment data set"""
<|body_0|>
def provenance(doc=prov.model.ProvDocument(), startTime=None, endTime=None):
"""Create the provenance document describing eve... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class selectImpBuilds:
def execute(trial=False):
"""Select the addresses of important buildings from the Property Assessment data set"""
startTime = datetime.datetime.now()
print('Selecting important buildings... \n', end='\r')
sys.stdout.write('\x1b[F')
client = d... | the_stack_v2_python_sparse | bkin18_cjoe_klovett_sbrz/selectImpBuilds.py | ROODAY/course-2017-fal-proj | train | 3 | |
dc315d819ec478d0e5d745945e601b8e1ebd8f3b | [
"largest = -float('inf')\nfor i in range(len(nums) - k + 1):\n largest = max(sum(nums[i:i + k]), largest)\nreturn float(largest) / k",
"numSum = sum(nums[:k])\nres = numSum\nfor i in range(k, len(nums)):\n numSum += nums[i] - nums[i - k]\n res = max(res, numSum)\nreturn float(res) / k\n'\\n :type ... | <|body_start_0|>
largest = -float('inf')
for i in range(len(nums) - k + 1):
largest = max(sum(nums[i:i + k]), largest)
return float(largest) / k
<|end_body_0|>
<|body_start_1|>
numSum = sum(nums[:k])
res = numSum
for i in range(k, len(nums)):
numS... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_0|>
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
lar... | stack_v2_sparse_classes_75kplus_train_000602 | 1,151 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: float",
"name": "findMaxAverage",
"signature": "def findMaxAverage(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: float",
"name": "findMaxAverage",
"signature": "def findMaxAverage(self, nums, k)"
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float
- def findMaxAverage(self, nums, k): :type nums: List[int] :type k: int :rtype: float
<|skele... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_0|>
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findMaxAverage(self, nums, k):
""":type nums: List[int] :type k: int :rtype: float"""
largest = -float('inf')
for i in range(len(nums) - k + 1):
largest = max(sum(nums[i:i + k]), largest)
return float(largest) / k
def findMaxAverage(self, nums, k)... | the_stack_v2_python_sparse | 0643_Maximum_Average_Subarray_I.py | bingli8802/leetcode | train | 0 | |
0ea7b773d84ec9ea3d006c1f2930bd7fed8cc5d9 | [
"toc, html = table_of_contents(u'')\nself.assertEqual(toc, u'')\nself.assertEqual(html, u'')",
"toc, html = table_of_contents(u'<h2>Heading</h2>')\nself.assertEqual(toc, u'<li class=\"toc_h2\"><a href=\"#heading\">Heading</a></li>')\nself.assertEqual(html, u'<h2 id=\"heading\"><a href=\"#heading\" title=\"Permane... | <|body_start_0|>
toc, html = table_of_contents(u'')
self.assertEqual(toc, u'')
self.assertEqual(html, u'')
<|end_body_0|>
<|body_start_1|>
toc, html = table_of_contents(u'<h2>Heading</h2>')
self.assertEqual(toc, u'<li class="toc_h2"><a href="#heading">Heading</a></li>')
... | UtilsMethodTests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UtilsMethodTests:
def test_table_of_contents_empty(self):
"""Empty text returns empty stings."""
<|body_0|>
def test_table_of_contents_single(self):
"""Single heading returns one toc item."""
<|body_1|>
def test_table_of_contents_respect_stings_before_an... | stack_v2_sparse_classes_75kplus_train_000603 | 3,242 | permissive | [
{
"docstring": "Empty text returns empty stings.",
"name": "test_table_of_contents_empty",
"signature": "def test_table_of_contents_empty(self)"
},
{
"docstring": "Single heading returns one toc item.",
"name": "test_table_of_contents_single",
"signature": "def test_table_of_contents_sin... | 6 | stack_v2_sparse_classes_30k_train_004055 | Implement the Python class `UtilsMethodTests` described below.
Class description:
Implement the UtilsMethodTests class.
Method signatures and docstrings:
- def test_table_of_contents_empty(self): Empty text returns empty stings.
- def test_table_of_contents_single(self): Single heading returns one toc item.
- def tes... | Implement the Python class `UtilsMethodTests` described below.
Class description:
Implement the UtilsMethodTests class.
Method signatures and docstrings:
- def test_table_of_contents_empty(self): Empty text returns empty stings.
- def test_table_of_contents_single(self): Single heading returns one toc item.
- def tes... | a2ff1b5ade88378f1a72a7ab36d51965b06509b9 | <|skeleton|>
class UtilsMethodTests:
def test_table_of_contents_empty(self):
"""Empty text returns empty stings."""
<|body_0|>
def test_table_of_contents_single(self):
"""Single heading returns one toc item."""
<|body_1|>
def test_table_of_contents_respect_stings_before_an... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UtilsMethodTests:
def test_table_of_contents_empty(self):
"""Empty text returns empty stings."""
toc, html = table_of_contents(u'')
self.assertEqual(toc, u'')
self.assertEqual(html, u'')
def test_table_of_contents_single(self):
"""Single heading returns one toc ite... | the_stack_v2_python_sparse | tvdordrecht/webapp/tests.py | allcaps/tvdordrecht.nl | train | 0 | |
9c408ce2e11503b7f8873952009a585bba4049f4 | [
"if not marshmallow:\n raise LambdaError('Required marshmallow dependency not found.')\ntry:\n return (schema.load(instance), [])\nexcept marshmallow.ValidationError as error:\n return (None, error.messages)",
"exception = marshmallow.ValidationError(errors)\nfield_errors = exception.normalized_messages(... | <|body_start_0|>
if not marshmallow:
raise LambdaError('Required marshmallow dependency not found.')
try:
return (schema.load(instance), [])
except marshmallow.ValidationError as error:
return (None, error.messages)
<|end_body_0|>
<|body_start_1|>
exc... | A Validator that uses Marshmallow schemas. | MarshmallowValidator | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MarshmallowValidator:
"""A Validator that uses Marshmallow schemas."""
def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]:
"""Return the data and errors (if any) from validating `instance` against `schema`."""
<|bod... | stack_v2_sparse_classes_75kplus_train_000604 | 1,387 | permissive | [
{
"docstring": "Return the data and errors (if any) from validating `instance` against `schema`.",
"name": "validate",
"signature": "def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]"
},
{
"docstring": "Re-format the errors from Marsh... | 2 | stack_v2_sparse_classes_30k_train_026566 | Implement the Python class `MarshmallowValidator` described below.
Class description:
A Validator that uses Marshmallow schemas.
Method signatures and docstrings:
- def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]: Return the data and errors (if any) from... | Implement the Python class `MarshmallowValidator` described below.
Class description:
A Validator that uses Marshmallow schemas.
Method signatures and docstrings:
- def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]: Return the data and errors (if any) from... | dad59c93d75e628bee265dd18f920ccbbd3b0eb5 | <|skeleton|>
class MarshmallowValidator:
"""A Validator that uses Marshmallow schemas."""
def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]:
"""Return the data and errors (if any) from validating `instance` against `schema`."""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MarshmallowValidator:
"""A Validator that uses Marshmallow schemas."""
def validate(self, instance: Any, schema: 'marshmallow.Schema') -> Tuple[Any, Union[Dict[str, Any], List[Any]]]:
"""Return the data and errors (if any) from validating `instance` against `schema`."""
if not marshmallow... | the_stack_v2_python_sparse | lambda_handlers/validators/marshmallow_validator.py | logan1202/lambda-handlers | train | 0 |
8ca6e663ddd9614fbbcf333440ee9fd946ec65eb | [
"if width % 2 == 0:\n print('Width needs to be odd!')\n pass\nif height % 2 == 0:\n print('Height needs to be odd!')\n pass\nlowerW = (width - 1) / 2\nlowerH = (height - 1) / 2\nmat = numx.zeros((width, height))\nfor x in range(0, width):\n for y in range(0, height):\n mat[x, y] = numx.exp(-0.... | <|body_start_0|>
if width % 2 == 0:
print('Width needs to be odd!')
pass
if height % 2 == 0:
print('Height needs to be odd!')
pass
lowerW = (width - 1) / 2
lowerH = (height - 1) / 2
mat = numx.zeros((width, height))
for x in... | This class implements a weight layer that connects one unit layer to another with convolutional weights. | Convolving_weight_layer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Convolving_weight_layer:
"""This class implements a weight layer that connects one unit layer to another with convolutional weights."""
def construct_gauss_filter(cls, width, height, variance=1.0):
"""This function constructs a 2D-Gauss filter. :Parameters: width: Filter width. -type... | stack_v2_sparse_classes_75kplus_train_000605 | 19,732 | no_license | [
{
"docstring": "This function constructs a 2D-Gauss filter. :Parameters: width: Filter width. -type: int height Filter Height. -type: int variance Variance of the Gaussian -type: scalar :Returns: Convolved matrix with the same shape as matrix. -type: 2D numpy arrays",
"name": "construct_gauss_filter",
"... | 5 | stack_v2_sparse_classes_30k_train_049283 | Implement the Python class `Convolving_weight_layer` described below.
Class description:
This class implements a weight layer that connects one unit layer to another with convolutional weights.
Method signatures and docstrings:
- def construct_gauss_filter(cls, width, height, variance=1.0): This function constructs a... | Implement the Python class `Convolving_weight_layer` described below.
Class description:
This class implements a weight layer that connects one unit layer to another with convolutional weights.
Method signatures and docstrings:
- def construct_gauss_filter(cls, width, height, variance=1.0): This function constructs a... | 997879373110b2ee69fba921d46a309443c8e374 | <|skeleton|>
class Convolving_weight_layer:
"""This class implements a weight layer that connects one unit layer to another with convolutional weights."""
def construct_gauss_filter(cls, width, height, variance=1.0):
"""This function constructs a 2D-Gauss filter. :Parameters: width: Filter width. -type... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Convolving_weight_layer:
"""This class implements a weight layer that connects one unit layer to another with convolutional weights."""
def construct_gauss_filter(cls, width, height, variance=1.0):
"""This function constructs a 2D-Gauss filter. :Parameters: width: Filter width. -type: int height ... | the_stack_v2_python_sparse | pydeep/dbm/weight_layer.py | MelJan/PyDeep | train | 50 |
4fc7a32c0888f1e407ae4a4706eaaf40051e0623 | [
"super(Transpose1dLayer, self).__init__()\nself.upsample = upsample\nreflection_pad = nn.ConstantPad1d(kernel_size // 2, value=0)\nconv1d = nn.Conv1d(in_channels, out_channels, kernel_size, stride)\nconv1d.weight.data.normal_(0.0, 0.02)\nConv1dTrans = nn.ConvTranspose1d(in_channels, out_channels, kernel_size, strid... | <|body_start_0|>
super(Transpose1dLayer, self).__init__()
self.upsample = upsample
reflection_pad = nn.ConstantPad1d(kernel_size // 2, value=0)
conv1d = nn.Conv1d(in_channels, out_channels, kernel_size, stride)
conv1d.weight.data.normal_(0.0, 0.02)
Conv1dTrans = nn.ConvTr... | Package of all 1d Convolution Transpose Layer | Transpose1dLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolut... | stack_v2_sparse_classes_75kplus_train_000606 | 5,819 | permissive | [
{
"docstring": "Initialize 1d Convolution Transpose Layer package -*-*-*Convolution Transpose summary*-*-*- There isn't a direct back-process to convolution like deconvolution but there is a technique to retrieve most of the information back called \"Convolution Transpose\". Apply convolution with bigger kernel... | 2 | stack_v2_sparse_classes_30k_train_018752 | Implement the Python class `Transpose1dLayer` described below.
Class description:
Package of all 1d Convolution Transpose Layer
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn: Initial... | Implement the Python class `Transpose1dLayer` described below.
Class description:
Package of all 1d Convolution Transpose Layer
Method signatures and docstrings:
- def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn: Initial... | 4eea5339c8ad0aae2861b8f7cc8ea88bdd0852ed | <|skeleton|>
class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolut... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Transpose1dLayer:
"""Package of all 1d Convolution Transpose Layer"""
def __init__(self, in_channels, out_channels, kernel_size, stride, padding=11, upsample=None, output_padding=1, use_batch_norm=False) -> NoReturn:
"""Initialize 1d Convolution Transpose Layer package -*-*-*Convolution Transpose... | the_stack_v2_python_sparse | not_functional/models/architectures/layers/BaseLayers.py | develooper1994/MasterThesis | train | 6 |
d3e26da205120d5b7626ce9224ef72c312f5fd2c | [
"context = {}\ncontext['form'] = FilterForm()\nall_orders = list(OrderItem.objects.all().order_by('-updated_at'))\ncontext['all_orders'] = all_orders\ncontext['total_sales'] = sum([_.total_price for _ in all_orders])\nreturn render(request, self.template_name, context)",
"form = FilterForm(request.POST)\ncontext ... | <|body_start_0|>
context = {}
context['form'] = FilterForm()
all_orders = list(OrderItem.objects.all().order_by('-updated_at'))
context['all_orders'] = all_orders
context['total_sales'] = sum([_.total_price for _ in all_orders])
return render(request, self.template_name, ... | View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size. | AllOrdersView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AllOrdersView:
"""View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size."""
def get(self, request, *args, **kwargs):
"""Will show all orders placed till date and total sales and also renders a... | stack_v2_sparse_classes_75kplus_train_000607 | 5,791 | no_license | [
{
"docstring": "Will show all orders placed till date and total sales and also renders a form to filter by type and/or size.",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Filteration view. If user wants to filter all tall coffee orders or all tall and... | 2 | null | Implement the Python class `AllOrdersView` described below.
Class description:
View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Will show all o... | Implement the Python class `AllOrdersView` described below.
Class description:
View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Will show all o... | ff77af514fc08fdb269d66836561e5f90b3020c2 | <|skeleton|>
class AllOrdersView:
"""View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size."""
def get(self, request, *args, **kwargs):
"""Will show all orders placed till date and total sales and also renders a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AllOrdersView:
"""View to show all the past orders. This view also features a filter i.e. if you want to see all the coffee orders which are of tall and venti size."""
def get(self, request, *args, **kwargs):
"""Will show all orders placed till date and total sales and also renders a form to filt... | the_stack_v2_python_sparse | apps/order/views.py | iamsudip/wego | train | 0 |
bd48d14b7a153ca5a323fbbad7dc30161407ee8d | [
"user = users.get_current_user()\nversion = self.GetBrowserVersion()\nassign = assignment.GetOrAssignTest(user=user, browser_version=version)\ntest_data = None\nif assign:\n test = assign.test\n test_data = {'key': assign.key().name(), 'run_name': test.run.name, 'url': test.start_url, 'steps': test.steps}\nse... | <|body_start_0|>
user = users.get_current_user()
version = self.GetBrowserVersion()
assign = assignment.GetOrAssignTest(user=user, browser_version=version)
test_data = None
if assign:
test = assign.test
test_data = {'key': assign.key().name(), 'run_name': ... | Handler used to manage sites assigned (tests sites) to the current user. | TesterTestsHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TesterTestsHandler:
"""Handler used to manage sites assigned (tests sites) to the current user."""
def get(self):
"""Gets the test assignment view."""
<|body_0|>
def post(self):
"""Updates the test assignment for the given user."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus_train_000608 | 22,297 | permissive | [
{
"docstring": "Gets the test assignment view.",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Updates the test assignment for the given user.",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `TesterTestsHandler` described below.
Class description:
Handler used to manage sites assigned (tests sites) to the current user.
Method signatures and docstrings:
- def get(self): Gets the test assignment view.
- def post(self): Updates the test assignment for the given user. | Implement the Python class `TesterTestsHandler` described below.
Class description:
Handler used to manage sites assigned (tests sites) to the current user.
Method signatures and docstrings:
- def get(self): Gets the test assignment view.
- def post(self): Updates the test assignment for the given user.
<|skeleton|>... | 1b3a86ed01d7d47d20166d49b090d846cc98aa66 | <|skeleton|>
class TesterTestsHandler:
"""Handler used to manage sites assigned (tests sites) to the current user."""
def get(self):
"""Gets the test assignment view."""
<|body_0|>
def post(self):
"""Updates the test assignment for the given user."""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TesterTestsHandler:
"""Handler used to manage sites assigned (tests sites) to the current user."""
def get(self):
"""Gets the test assignment view."""
user = users.get_current_user()
version = self.GetBrowserVersion()
assign = assignment.GetOrAssignTest(user=user, browser_... | the_stack_v2_python_sparse | server/handlers/site_compat.py | adambyram/bite-project-mod | train | 1 |
cd20a3a1ce484aa2d645e4bfb2ea1b57df8ad5ac | [
"Block.__init__(self, parent, idevice)\nself.activity = idevice.activity\nself.answer = idevice.answer\nself.activityInstruc = idevice.activityInstruc\nself.answerInstruc = idevice.answerInstruc",
"Block.process(self, request)\nif 'activity' + self.id in request.args:\n self.idevice.activity = request.args['ac... | <|body_start_0|>
Block.__init__(self, parent, idevice)
self.activity = idevice.activity
self.answer = idevice.answer
self.activityInstruc = idevice.activityInstruc
self.answerInstruc = idevice.answerInstruc
<|end_body_0|>
<|body_start_1|>
Block.process(self, request)
... | ReflectionBlock can render and process ReflectionIdevices as XHTML | ReflectionBlock | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReflectionBlock:
"""ReflectionBlock can render and process ReflectionIdevices as XHTML"""
def __init__(self, parent, idevice):
"""Initialize a new Block object"""
<|body_0|>
def process(self, request):
"""Process the request arguments from the web server"""
... | stack_v2_sparse_classes_75kplus_train_000609 | 3,032 | no_license | [
{
"docstring": "Initialize a new Block object",
"name": "__init__",
"signature": "def __init__(self, parent, idevice)"
},
{
"docstring": "Process the request arguments from the web server",
"name": "process",
"signature": "def process(self, request)"
},
{
"docstring": "Returns an... | 4 | stack_v2_sparse_classes_30k_train_039231 | Implement the Python class `ReflectionBlock` described below.
Class description:
ReflectionBlock can render and process ReflectionIdevices as XHTML
Method signatures and docstrings:
- def __init__(self, parent, idevice): Initialize a new Block object
- def process(self, request): Process the request arguments from th... | Implement the Python class `ReflectionBlock` described below.
Class description:
ReflectionBlock can render and process ReflectionIdevices as XHTML
Method signatures and docstrings:
- def __init__(self, parent, idevice): Initialize a new Block object
- def process(self, request): Process the request arguments from th... | 1a99c1788f0eb9f1e5d8c2ced3892d00cd9449ad | <|skeleton|>
class ReflectionBlock:
"""ReflectionBlock can render and process ReflectionIdevices as XHTML"""
def __init__(self, parent, idevice):
"""Initialize a new Block object"""
<|body_0|>
def process(self, request):
"""Process the request arguments from the web server"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReflectionBlock:
"""ReflectionBlock can render and process ReflectionIdevices as XHTML"""
def __init__(self, parent, idevice):
"""Initialize a new Block object"""
Block.__init__(self, parent, idevice)
self.activity = idevice.activity
self.answer = idevice.answer
se... | the_stack_v2_python_sparse | eXe/rev2283-2366/base-trunk-2283/exe/webui/reflectionblock.py | joliebig/featurehouse_fstmerge_examples | train | 3 |
de2941373c627b0f71a510aad1ee3b2e8adf99c3 | [
"super(Encoder, self).__init__()\nself.input_size = input_size\nself.latent_size = latent_size\nself.class_size = class_size\nself.hidden_dim = 51200\nself.enc_cfg = enc_cfg\nself.cnn1 = nn.Sequential(nn.Conv2d(self.enc_cfg.in_channels, self.enc_cfg.cnn_filters[0], 3), nn.ReLU(), nn.BatchNorm2d(self.enc_cfg.cnn_fil... | <|body_start_0|>
super(Encoder, self).__init__()
self.input_size = input_size
self.latent_size = latent_size
self.class_size = class_size
self.hidden_dim = 51200
self.enc_cfg = enc_cfg
self.cnn1 = nn.Sequential(nn.Conv2d(self.enc_cfg.in_channels, self.enc_cfg.cnn_... | Encoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Encoder:
def __init__(self, input_size, latent_size, class_size, enc_cfg):
"""Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder Config class"""
<|body_0|>
def forward(self, x):
"""forward pass for the e... | stack_v2_sparse_classes_75kplus_train_000610 | 4,969 | no_license | [
{
"docstring": "Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder Config class",
"name": "__init__",
"signature": "def __init__(self, input_size, latent_size, class_size, enc_cfg)"
},
{
"docstring": "forward pass for the encoder",
... | 2 | stack_v2_sparse_classes_30k_train_005310 | Implement the Python class `Encoder` described below.
Class description:
Implement the Encoder class.
Method signatures and docstrings:
- def __init__(self, input_size, latent_size, class_size, enc_cfg): Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder... | Implement the Python class `Encoder` described below.
Class description:
Implement the Encoder class.
Method signatures and docstrings:
- def __init__(self, input_size, latent_size, class_size, enc_cfg): Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder... | b134e4e6b1e6c110fad8cb38b033c92c34d3c8ce | <|skeleton|>
class Encoder:
def __init__(self, input_size, latent_size, class_size, enc_cfg):
"""Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder Config class"""
<|body_0|>
def forward(self, x):
"""forward pass for the e... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Encoder:
def __init__(self, input_size, latent_size, class_size, enc_cfg):
"""Calculates q(z|x) from the given data input_size : (1, 28, 28) for MNIST dataset enc_cfg : Class object of Encoder Config class"""
super(Encoder, self).__init__()
self.input_size = input_size
self.lat... | the_stack_v2_python_sparse | architectures_networks/Adversarial_Autoencoders/model.py | shubham14/Machine_learning_research | train | 3 | |
1597e41cbcb69b1f14689b6c93b54474a2b9f7b6 | [
"enrollment_status_map = {}\nfor enrollment in enrollments:\n course_title = enrollment.course_run.course.title\n is_verified = mmtrack.is_enrolled_mmtrack(enrollment.course_run.edx_course_key)\n enrollment_status_map[course_title] = enrollment_status_map.get(course_title) or is_verified\nserialized_enroll... | <|body_start_0|>
enrollment_status_map = {}
for enrollment in enrollments:
course_title = enrollment.course_run.course.title
is_verified = mmtrack.is_enrolled_mmtrack(enrollment.course_run.edx_course_key)
enrollment_status_map[course_title] = enrollment_status_map.get... | Provides functions for serializing a ProgramEnrollment for the ES index | UserProgramSearchSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserProgramSearchSerializer:
"""Provides functions for serializing a ProgramEnrollment for the ES index"""
def serialize_enrollments(cls, mmtrack, enrollments):
"""Serializes a user's enrollment data for search results Args: mmtrack (MMTrack): An MMTrack object enrollments (iterable)... | stack_v2_sparse_classes_75kplus_train_000611 | 2,496 | no_license | [
{
"docstring": "Serializes a user's enrollment data for search results Args: mmtrack (MMTrack): An MMTrack object enrollments (iterable): An iterable of CachedEnrollments Returns: list: Serialized courses",
"name": "serialize_enrollments",
"signature": "def serialize_enrollments(cls, mmtrack, enrollment... | 2 | stack_v2_sparse_classes_30k_train_033760 | Implement the Python class `UserProgramSearchSerializer` described below.
Class description:
Provides functions for serializing a ProgramEnrollment for the ES index
Method signatures and docstrings:
- def serialize_enrollments(cls, mmtrack, enrollments): Serializes a user's enrollment data for search results Args: mm... | Implement the Python class `UserProgramSearchSerializer` described below.
Class description:
Provides functions for serializing a ProgramEnrollment for the ES index
Method signatures and docstrings:
- def serialize_enrollments(cls, mmtrack, enrollments): Serializes a user's enrollment data for search results Args: mm... | 3c166bc52dfe8d7aa04f922134f4f6deeff49eb6 | <|skeleton|>
class UserProgramSearchSerializer:
"""Provides functions for serializing a ProgramEnrollment for the ES index"""
def serialize_enrollments(cls, mmtrack, enrollments):
"""Serializes a user's enrollment data for search results Args: mmtrack (MMTrack): An MMTrack object enrollments (iterable)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserProgramSearchSerializer:
"""Provides functions for serializing a ProgramEnrollment for the ES index"""
def serialize_enrollments(cls, mmtrack, enrollments):
"""Serializes a user's enrollment data for search results Args: mmtrack (MMTrack): An MMTrack object enrollments (iterable): An iterable... | the_stack_v2_python_sparse | dashboard/serializers.py | avontd2868/micromasters | train | 0 |
02a014695f9753dc9efdd2f0dccd392c397e48c1 | [
"self.binning_info = binning_info\nself.file_type = file_type\nself.njet_max = 4\nself.jet_types = ['ak4', 'ak8']\nit1 = [{'jet_type': 'ak4'}, {'jet_type': 'ak8'}]\nit2 = []\nfor njet in range(1, self.njet_max + 1):\n for ijet in range(1, njet + 1):\n for jet_type in self.jet_types:\n it2.appen... | <|body_start_0|>
self.binning_info = binning_info
self.file_type = file_type
self.njet_max = 4
self.jet_types = ['ak4', 'ak8']
it1 = [{'jet_type': 'ak4'}, {'jet_type': 'ak8'}]
it2 = []
for njet in range(1, self.njet_max + 1):
for ijet in range(1, njet ... | Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak_arrays * initialize_gen_weights __init__ defines the following attributes: * self.njet_max * ... | HistogramPFNanoAODExtension | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HistogramPFNanoAODExtension:
"""Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak_arrays * initialize_gen_weights __init... | stack_v2_sparse_classes_75kplus_train_000612 | 6,945 | no_license | [
{
"docstring": "Define the variables to histogram, their binning and their coffea histogram object. Args: binning_info (dict): Form of the dictionary: { \"noregex\": { \"ak8Jet1_ak8Jet2_mass\" : [500 , 0 , 5000 ], }, \"regex\": { \"ak[48]Jet_n\" : [20 , 0 , 20 ], } } file_type (str) Returns: None",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_049452 | Implement the Python class `HistogramPFNanoAODExtension` described below.
Class description:
Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak... | Implement the Python class `HistogramPFNanoAODExtension` described below.
Class description:
Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak... | 37156adf5b92f787533094a97c64a64511f4400d | <|skeleton|>
class HistogramPFNanoAODExtension:
"""Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak_arrays * initialize_gen_weights __init... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HistogramPFNanoAODExtension:
"""Coffea processor for accumulating histograms of selected variables. Some variables are directly read from the ROOT file while other are computed on the fly. This must implement the following methods: * __init__ * initialize_ak_arrays * initialize_gen_weights __init__ defines th... | the_stack_v2_python_sparse | makeHistograms/HistogramPFNanoAODExtension.py | cesarecazzaniga/SVJanalysis | train | 0 |
3cf1996c512d8f3da3a5622bcca33848d0a93395 | [
"def invert(node):\n node.left, node.right = (node.right, node.left)\n if node.left:\n invert(node.left)\n if node.right:\n invert(node.right)\ninvert(root)\nreturn root",
"def invert(node) -> TreeNode:\n node_copy = TreeNode(node.val)\n if node.left:\n node_copy.right = invert... | <|body_start_0|>
def invert(node):
node.left, node.right = (node.right, node.left)
if node.left:
invert(node.left)
if node.right:
invert(node.right)
invert(root)
return root
<|end_body_0|>
<|body_start_1|>
def invert(no... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
<|body_0|>
def invertTree_v2(self, root: TreeNode) -> TreeNode:
"""Clone and invert."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def invert(node):
... | stack_v2_sparse_classes_75kplus_train_000613 | 2,223 | no_license | [
{
"docstring": "Invert in place .",
"name": "invertTree_v1",
"signature": "def invertTree_v1(self, root: TreeNode) -> TreeNode"
},
{
"docstring": "Clone and invert.",
"name": "invertTree_v2",
"signature": "def invertTree_v2(self, root: TreeNode) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_031229 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def invertTree_v1(self, root: TreeNode) -> TreeNode: Invert in place .
- def invertTree_v2(self, root: TreeNode) -> TreeNode: Clone and invert. | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def invertTree_v1(self, root: TreeNode) -> TreeNode: Invert in place .
- def invertTree_v2(self, root: TreeNode) -> TreeNode: Clone and invert.
<|skeleton|>
class Solution:
... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
<|body_0|>
def invertTree_v2(self, root: TreeNode) -> TreeNode:
"""Clone and invert."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def invertTree_v1(self, root: TreeNode) -> TreeNode:
"""Invert in place ."""
def invert(node):
node.left, node.right = (node.right, node.left)
if node.left:
invert(node.left)
if node.right:
invert(node.right)
... | the_stack_v2_python_sparse | python3/trees_and_graphs/invert_tree.py | victorchu/algorithms | train | 0 | |
a6a8ef7ad8ffc631939ef197ebcd41ba591294c3 | [
"SegmentSimMeasurement.__init__(self, source_segment, target_segment)\nself.sequence_type = sequence_type\nself.min_tile_length = min_tile_length\nself.ne_disambiguation = ne_disambiguation",
"if self.sequence_type == 'manual':\n s1_nes = [token for token in self.source_segment.get_instances('named_entity_sequ... | <|body_start_0|>
SegmentSimMeasurement.__init__(self, source_segment, target_segment)
self.sequence_type = sequence_type
self.min_tile_length = min_tile_length
self.ne_disambiguation = ne_disambiguation
<|end_body_0|>
<|body_start_1|>
if self.sequence_type == 'manual':
... | GreedyNETiling | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GreedyNETiling:
def __init__(self, source_segment, target_segment, sequence_type='default', min_tile_length=2, ne_disambiguation=False):
""":param source_segment: Segment from source article :param target_segment: Segment from target article :param sequence_type: Sequence manual of seque... | stack_v2_sparse_classes_75kplus_train_000614 | 2,409 | permissive | [
{
"docstring": ":param source_segment: Segment from source article :param target_segment: Segment from target article :param sequence_type: Sequence manual of sequence default :param ne_disambiguation: Flag, whether to disambiguate named entities",
"name": "__init__",
"signature": "def __init__(self, so... | 2 | stack_v2_sparse_classes_30k_train_010139 | Implement the Python class `GreedyNETiling` described below.
Class description:
Implement the GreedyNETiling class.
Method signatures and docstrings:
- def __init__(self, source_segment, target_segment, sequence_type='default', min_tile_length=2, ne_disambiguation=False): :param source_segment: Segment from source ar... | Implement the Python class `GreedyNETiling` described below.
Class description:
Implement the GreedyNETiling class.
Method signatures and docstrings:
- def __init__(self, source_segment, target_segment, sequence_type='default', min_tile_length=2, ne_disambiguation=False): :param source_segment: Segment from source ar... | 2e6a85dc9e95ef94bec2339987950f4e88f5d909 | <|skeleton|>
class GreedyNETiling:
def __init__(self, source_segment, target_segment, sequence_type='default', min_tile_length=2, ne_disambiguation=False):
""":param source_segment: Segment from source article :param target_segment: Segment from target article :param sequence_type: Sequence manual of seque... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GreedyNETiling:
def __init__(self, source_segment, target_segment, sequence_type='default', min_tile_length=2, ne_disambiguation=False):
""":param source_segment: Segment from source article :param target_segment: Segment from target article :param sequence_type: Sequence manual of sequence default :p... | the_stack_v2_python_sparse | newssimilarity/segment_sim/greedy_ne_tiling.py | imackerracher/NewsSimilarity | train | 0 | |
12d13c4e8ebb52e213bfdf1f2afb672c0966b735 | [
"endpoint = cls.list_api_endpoint\nif user_id:\n endpoint += f'?user_id={user_id}'\nelif created_after:\n endpoint += f'?created_after={created_after.isoformat()}'\nresponse_json = cls.get(endpoint)\nmessages = [Message(**s) for s in response_json['results']]\nreturn messages",
"response_json = cls.get(cls.... | <|body_start_0|>
endpoint = cls.list_api_endpoint
if user_id:
endpoint += f'?user_id={user_id}'
elif created_after:
endpoint += f'?created_after={created_after.isoformat()}'
response_json = cls.get(endpoint)
messages = [Message(**s) for s in response_json[... | Messages | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param create... | stack_v2_sparse_classes_75kplus_train_000615 | 2,139 | permissive | [
{
"docstring": "Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param created_after: Only fetch messages created after timestamp. Must be provided if no user_id is provided. You can only fetch up to... | 3 | stack_v2_sparse_classes_30k_train_023141 | Implement the Python class `Messages` described below.
Class description:
Implement the Messages class.
Method signatures and docstrings:
- def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]: Get messages between you and another user or your messages with all users :pa... | Implement the Python class `Messages` described below.
Class description:
Implement the Messages class.
Method signatures and docstrings:
- def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]: Get messages between you and another user or your messages with all users :pa... | 1f540f9bd866d5fd625be4a4d61ad6bce564f1ed | <|skeleton|>
class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param create... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Messages:
def list(cls, user_id: Optional[str]=None, created_after: Optional[datetime]=None) -> List[Message]:
"""Get messages between you and another user or your messages with all users :param user_id: Another user ID, must be provided if no created_after date is provided :param created_after: Only ... | the_stack_v2_python_sparse | mephisto/abstractions/providers/prolific/api/messages.py | facebookresearch/Mephisto | train | 281 | |
1ea23f7df89e197e3f64225ce60dc77903226800 | [
"self.root_app = root_app\ncontainer = ttk.Frame(root_app.background, width=root_app.navigator_width, height=root_app.canvas_height)\ncanvas = Canvas(container, width=root_app.navigator_width, height=root_app.canvas_height)\ncanvas.pack(side='left', fill='both', expand=True)\nscrollbar = ttk.Scrollbar(container, or... | <|body_start_0|>
self.root_app = root_app
container = ttk.Frame(root_app.background, width=root_app.navigator_width, height=root_app.canvas_height)
canvas = Canvas(container, width=root_app.navigator_width, height=root_app.canvas_height)
canvas.pack(side='left', fill='both', expand=True)... | Navigator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Navigator:
def __init__(self, root_app):
"""Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_app : AnnotationTool object Parent Object Raises ------ None Returns ------- None"""
<|body_... | stack_v2_sparse_classes_75kplus_train_000616 | 4,397 | permissive | [
{
"docstring": "Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_app : AnnotationTool object Parent Object Raises ------ None Returns ------- None",
"name": "__init__",
"signature": "def __init__(self, root_ap... | 2 | null | Implement the Python class `Navigator` described below.
Class description:
Implement the Navigator class.
Method signatures and docstrings:
- def __init__(self, root_app): Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_ap... | Implement the Python class `Navigator` described below.
Class description:
Implement the Navigator class.
Method signatures and docstrings:
- def __init__(self, root_app): Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_ap... | 2de14b3498f54c0b893d3ba506d639cc1c598d53 | <|skeleton|>
class Navigator:
def __init__(self, root_app):
"""Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_app : AnnotationTool object Parent Object Raises ------ None Returns ------- None"""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Navigator:
def __init__(self, root_app):
"""Navigator Class Parameters ---------- root_app : AnnotationTool object Pass Parent Object to access global variables Attributes ---------- root_app : AnnotationTool object Parent Object Raises ------ None Returns ------- None"""
self.root_app = root_... | the_stack_v2_python_sparse | navigator.py | ron-kemker/OpenAnnotation | train | 2 | |
aba917367e26729df403f71607c15be2c28c6bf6 | [
"if key != 'command':\n raise errors.ParseError('Unable to parse record, unknown structure: {0:s}'.format(key))\nevent_data = ZshHistoryEventData()\nevent_data.command = self._GetValueFromStructure(structure, 'command')\nevent_data.elapsed_seconds = self._GetValueFromStructure(structure, 'elapsed_seconds')\ntime... | <|body_start_0|>
if key != 'command':
raise errors.ParseError('Unable to parse record, unknown structure: {0:s}'.format(key))
event_data = ZshHistoryEventData()
event_data.command = self._GetValueFromStructure(structure, 'command')
event_data.elapsed_seconds = self._GetValueF... | Parser for ZSH extended history files | ZshExtendedHistoryParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZshExtendedHistoryParser:
"""Parser for ZSH extended history files"""
def ParseRecord(self, parser_mediator, key, structure):
"""Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such ... | stack_v2_sparse_classes_75kplus_train_000617 | 3,529 | permissive | [
{
"docstring": "Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfvfs. key (str): name of the parsed structure. structure (pyparsing.ParseResults): structure parsed from the log file. Raises... | 2 | stack_v2_sparse_classes_30k_train_034233 | Implement the Python class `ZshExtendedHistoryParser` described below.
Class description:
Parser for ZSH extended history files
Method signatures and docstrings:
- def ParseRecord(self, parser_mediator, key, structure): Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates... | Implement the Python class `ZshExtendedHistoryParser` described below.
Class description:
Parser for ZSH extended history files
Method signatures and docstrings:
- def ParseRecord(self, parser_mediator, key, structure): Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates... | c69b2952b608cfce47ff8fd0d1409d856be35cb1 | <|skeleton|>
class ZshExtendedHistoryParser:
"""Parser for ZSH extended history files"""
def ParseRecord(self, parser_mediator, key, structure):
"""Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZshExtendedHistoryParser:
"""Parser for ZSH extended history files"""
def ParseRecord(self, parser_mediator, key, structure):
"""Parses a record and produces a ZSH history event. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage an... | the_stack_v2_python_sparse | plaso/parsers/zsh_extended_history.py | cyb3rfox/plaso | train | 3 |
1b0abc3c41a8b7b0786988f0119c3f3cc41113a0 | [
"super(ResblockBody, self).__init__(**args)\nself.num_filters = num_filters\nself.num_blocks = num_blocks\nself.zero_padding1 = tf.keras.layers.ZeroPadding2D(((1, 0), (1, 0)))\nself.darknet_conv_bn_leaky1 = DarknetConv2D_BN_Leaky(self.num_filters, (3, 3), strides=(2, 2))\nself.blocks = []\nfor i in range(self.num_b... | <|body_start_0|>
super(ResblockBody, self).__init__(**args)
self.num_filters = num_filters
self.num_blocks = num_blocks
self.zero_padding1 = tf.keras.layers.ZeroPadding2D(((1, 0), (1, 0)))
self.darknet_conv_bn_leaky1 = DarknetConv2D_BN_Leaky(self.num_filters, (3, 3), strides=(2, ... | ResblockBody | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResblockBody:
def __init__(self, num_filters, num_blocks, **args):
"""初始化网络"""
<|body_0|>
def call(self, x, training):
"""运算部分"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(ResblockBody, self).__init__(**args)
self.num_filters = num_... | stack_v2_sparse_classes_75kplus_train_000618 | 12,569 | no_license | [
{
"docstring": "初始化网络",
"name": "__init__",
"signature": "def __init__(self, num_filters, num_blocks, **args)"
},
{
"docstring": "运算部分",
"name": "call",
"signature": "def call(self, x, training)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007317 | Implement the Python class `ResblockBody` described below.
Class description:
Implement the ResblockBody class.
Method signatures and docstrings:
- def __init__(self, num_filters, num_blocks, **args): 初始化网络
- def call(self, x, training): 运算部分 | Implement the Python class `ResblockBody` described below.
Class description:
Implement the ResblockBody class.
Method signatures and docstrings:
- def __init__(self, num_filters, num_blocks, **args): 初始化网络
- def call(self, x, training): 运算部分
<|skeleton|>
class ResblockBody:
def __init__(self, num_filters, num_... | b7549701b0b1a7e4cc2c8275df2bc6c7a3253d24 | <|skeleton|>
class ResblockBody:
def __init__(self, num_filters, num_blocks, **args):
"""初始化网络"""
<|body_0|>
def call(self, x, training):
"""运算部分"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResblockBody:
def __init__(self, num_filters, num_blocks, **args):
"""初始化网络"""
super(ResblockBody, self).__init__(**args)
self.num_filters = num_filters
self.num_blocks = num_blocks
self.zero_padding1 = tf.keras.layers.ZeroPadding2D(((1, 0), (1, 0)))
self.darkne... | the_stack_v2_python_sparse | AIServer/ai_api/ai_models/yolo_v3/model.py | tfwcn/tensorflow2-machine-vision | train | 1 | |
dd71bd7d1b5b638cebda98e87d12cc8083dda51b | [
"super(EncoderCNN, self).__init__()\nresnet = None\nif resnet_version == 'resnet18':\n resnet = models.resnet18(pretrained=True)\nelif resnet_version == 'resnet34':\n resnet = models.resnet34(pretrained=True)\nelse:\n resnet = models.resnet50(pretrained=True)\nself.image_hidden_size = list(resnet.children(... | <|body_start_0|>
super(EncoderCNN, self).__init__()
resnet = None
if resnet_version == 'resnet18':
resnet = models.resnet18(pretrained=True)
elif resnet_version == 'resnet34':
resnet = models.resnet34(pretrained=True)
else:
resnet = models.resn... | EncoderCNN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncoderCNN:
def __init__(self, resnet_version='resnet18', train_resnet=False):
"""Load the pretrained ResNet and replace top fully connected layer."""
<|body_0|>
def forward(self, images):
"""Extract feature vectors from input images. input: images () output: feature... | stack_v2_sparse_classes_75kplus_train_000619 | 8,852 | no_license | [
{
"docstring": "Load the pretrained ResNet and replace top fully connected layer.",
"name": "__init__",
"signature": "def __init__(self, resnet_version='resnet18', train_resnet=False)"
},
{
"docstring": "Extract feature vectors from input images. input: images () output: features (N, H*W, C)",
... | 2 | null | Implement the Python class `EncoderCNN` described below.
Class description:
Implement the EncoderCNN class.
Method signatures and docstrings:
- def __init__(self, resnet_version='resnet18', train_resnet=False): Load the pretrained ResNet and replace top fully connected layer.
- def forward(self, images): Extract feat... | Implement the Python class `EncoderCNN` described below.
Class description:
Implement the EncoderCNN class.
Method signatures and docstrings:
- def __init__(self, resnet_version='resnet18', train_resnet=False): Load the pretrained ResNet and replace top fully connected layer.
- def forward(self, images): Extract feat... | d5a566842c1e4ea60b96323af9c72fdc9e1e5e61 | <|skeleton|>
class EncoderCNN:
def __init__(self, resnet_version='resnet18', train_resnet=False):
"""Load the pretrained ResNet and replace top fully connected layer."""
<|body_0|>
def forward(self, images):
"""Extract feature vectors from input images. input: images () output: feature... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncoderCNN:
def __init__(self, resnet_version='resnet18', train_resnet=False):
"""Load the pretrained ResNet and replace top fully connected layer."""
super(EncoderCNN, self).__init__()
resnet = None
if resnet_version == 'resnet18':
resnet = models.resnet18(pretrain... | the_stack_v2_python_sparse | model/model_attention.py | chenyipeng1/SI699_Hashtag | train | 2 | |
6479c06810459e14a4eccaebfa64d5cafab14b76 | [
"prev_min = prev_max = global_max = nums[0]\nfor num in nums[1:]:\n minn, maxx = (min(num, prev_max * num, prev_min * num), max(num, prev_max * num, prev_min * num))\n prev_min, prev_max, global_max = (minn, maxx, max(global_max, maxx))\nreturn global_max",
"front_max = front_min = global_max = nums[0]\nfor... | <|body_start_0|>
prev_min = prev_max = global_max = nums[0]
for num in nums[1:]:
minn, maxx = (min(num, prev_max * num, prev_min * num), max(num, prev_max * num, prev_min * num))
prev_min, prev_max, global_max = (minn, maxx, max(global_max, maxx))
return global_max
<|end_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxProduct_1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def maxProduct_2(self, nums):
""":type nums: List[int] :rtype: int"""
... | stack_v2_sparse_classes_75kplus_train_000620 | 3,237 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxProduct",
"signature": "def maxProduct(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "maxProduct_1",
"signature": "def maxProduct_1(self, nums)"
},
{
"docstring": ":type nums: List[int] ... | 4 | stack_v2_sparse_classes_30k_train_032868 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_1(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_2(self, nums): :type nums: List[i... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxProduct(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_1(self, nums): :type nums: List[int] :rtype: int
- def maxProduct_2(self, nums): :type nums: List[i... | 3d9e0ad2f6ed92ec969556f75d97c51ea4854719 | <|skeleton|>
class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def maxProduct_1(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def maxProduct_2(self, nums):
""":type nums: List[int] :rtype: int"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxProduct(self, nums):
""":type nums: List[int] :rtype: int"""
prev_min = prev_max = global_max = nums[0]
for num in nums[1:]:
minn, maxx = (min(num, prev_max * num, prev_min * num), max(num, prev_max * num, prev_min * num))
prev_min, prev_max, gl... | the_stack_v2_python_sparse | Solutions/0152_maxProduct.py | YoupengLi/leetcode-sorting | train | 3 | |
9090d2d5193b977778ac13e0f191544669e802ab | [
"super().__init__()\nself.output_feature_size = output_feature_size\nself.dropout = dropout\noutput_size, self.inject_input = inject_input(input_feature_size, action_feature_size + output_feature_size, output_feature_size, output_feature_size)\nself.lstm = nn.LSTMCell(output_size, output_feature_size)",
"h_n = hi... | <|body_start_0|>
super().__init__()
self.output_feature_size = output_feature_size
self.dropout = dropout
output_size, self.inject_input = inject_input(input_feature_size, action_feature_size + output_feature_size, output_feature_size, output_feature_size)
self.lstm = nn.LSTMCell... | LSTMTreeDecoder | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMTreeDecoder:
def __init__(self, inject_input: InjectInput, input_feature_size: int, action_feature_size: int, output_feature_size: int, dropout: float=0.0):
"""Constructor Parameters ---------- input_feature_size: int Size of each input vector action_feature_size: int Size of each Ac... | stack_v2_sparse_classes_75kplus_train_000621 | 5,183 | permissive | [
{
"docstring": "Constructor Parameters ---------- input_feature_size: int Size of each input vector action_feature_size: int Size of each ActionSequence vector output_feature_size: int The number of features in the hidden state dropout: float The probability of dropout",
"name": "__init__",
"signature":... | 2 | stack_v2_sparse_classes_30k_train_030795 | Implement the Python class `LSTMTreeDecoder` described below.
Class description:
Implement the LSTMTreeDecoder class.
Method signatures and docstrings:
- def __init__(self, inject_input: InjectInput, input_feature_size: int, action_feature_size: int, output_feature_size: int, dropout: float=0.0): Constructor Paramete... | Implement the Python class `LSTMTreeDecoder` described below.
Class description:
Implement the LSTMTreeDecoder class.
Method signatures and docstrings:
- def __init__(self, inject_input: InjectInput, input_feature_size: int, action_feature_size: int, output_feature_size: int, dropout: float=0.0): Constructor Paramete... | 573e94c567064705fa65267dd83946bf183197de | <|skeleton|>
class LSTMTreeDecoder:
def __init__(self, inject_input: InjectInput, input_feature_size: int, action_feature_size: int, output_feature_size: int, dropout: float=0.0):
"""Constructor Parameters ---------- input_feature_size: int Size of each input vector action_feature_size: int Size of each Ac... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTMTreeDecoder:
def __init__(self, inject_input: InjectInput, input_feature_size: int, action_feature_size: int, output_feature_size: int, dropout: float=0.0):
"""Constructor Parameters ---------- input_feature_size: int Size of each input vector action_feature_size: int Size of each ActionSequence v... | the_stack_v2_python_sparse | mlprogram/nn/action_sequence/lstm_tree_decoder.py | brando90/mlprogram | train | 0 | |
78d1e9cc87ca03582cca80474a1fa00d6fae4e53 | [
"try:\n resp = User().get_data_by_userid(userid)\n return masked_json_template(resp, 200)\nexcept:\n abort(400, 'Input unrecognizable.')",
"try:\n json_data = api.payload\n resp = User().update_data_by_userid(userid, json_data)\n return masked_json_template(resp, 200)\nexcept:\n abort(400, 'I... | <|body_start_0|>
try:
resp = User().get_data_by_userid(userid)
return masked_json_template(resp, 200)
except:
abort(400, 'Input unrecognizable.')
<|end_body_0|>
<|body_start_1|>
try:
json_data = api.payload
resp = User().update_data_by... | UserIDFindRoute | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserIDFindRoute:
def get(self, userid):
"""Get user data by user ID"""
<|body_0|>
def put(self, userid):
"""Update user data by user ID"""
<|body_1|>
def delete(self, userid):
"""Delete user data by user ID"""
<|body_2|>
<|end_skeleton|>... | stack_v2_sparse_classes_75kplus_train_000622 | 5,083 | permissive | [
{
"docstring": "Get user data by user ID",
"name": "get",
"signature": "def get(self, userid)"
},
{
"docstring": "Update user data by user ID",
"name": "put",
"signature": "def put(self, userid)"
},
{
"docstring": "Delete user data by user ID",
"name": "delete",
"signatur... | 3 | stack_v2_sparse_classes_30k_train_051314 | Implement the Python class `UserIDFindRoute` described below.
Class description:
Implement the UserIDFindRoute class.
Method signatures and docstrings:
- def get(self, userid): Get user data by user ID
- def put(self, userid): Update user data by user ID
- def delete(self, userid): Delete user data by user ID | Implement the Python class `UserIDFindRoute` described below.
Class description:
Implement the UserIDFindRoute class.
Method signatures and docstrings:
- def get(self, userid): Get user data by user ID
- def put(self, userid): Update user data by user ID
- def delete(self, userid): Delete user data by user ID
<|skel... | 100fca0d2dd9b0b2ab2fa5974d8126af35ddcfd1 | <|skeleton|>
class UserIDFindRoute:
def get(self, userid):
"""Get user data by user ID"""
<|body_0|>
def put(self, userid):
"""Update user data by user ID"""
<|body_1|>
def delete(self, userid):
"""Delete user data by user ID"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserIDFindRoute:
def get(self, userid):
"""Get user data by user ID"""
try:
resp = User().get_data_by_userid(userid)
return masked_json_template(resp, 200)
except:
abort(400, 'Input unrecognizable.')
def put(self, userid):
"""Update user... | the_stack_v2_python_sparse | app/controllers/api/user/user.py | ardihikaru/api-dashboard-5g-dive | train | 0 | |
ea4581fc47301ecc33a351c0e591e0071bae272a | [
"super(LocalInfoNCELoss, self).__init__()\nself.tau = tau\nself.K = K\nself.n_region = n_region\nself.device = device\nself.pos_mask, self.neg_mask = self.get_masks(n_region)\nself.similarity_f = nn.CosineSimilarity(dim=3)\nself.criterion = nn.CrossEntropyLoss(reduction='mean')",
"pos_mask = torch.diag(torch.ones... | <|body_start_0|>
super(LocalInfoNCELoss, self).__init__()
self.tau = tau
self.K = K
self.n_region = n_region
self.device = device
self.pos_mask, self.neg_mask = self.get_masks(n_region)
self.similarity_f = nn.CosineSimilarity(dim=3)
self.criterion = nn.Cro... | Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the feature map. | LocalInfoNCELoss | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocalInfoNCELoss:
"""Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the feature map."""
def __init__(self, ... | stack_v2_sparse_classes_75kplus_train_000623 | 22,277 | permissive | [
{
"docstring": "Build a Local InfoNCE loss module. ---------- INPUT |---- tau (float) temperature hyperparameter of InfoNCE loss. |---- K (int) the size of the region to consider (region will be KxK). |---- n_region (int) the number of region to consider within a feature map. |---- device (str) the device to us... | 4 | null | Implement the Python class `LocalInfoNCELoss` described below.
Class description:
Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the f... | Implement the Python class `LocalInfoNCELoss` described below.
Class description:
Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the f... | 61e74a6188fe82843085e87da7d9c4ec7bdbf85e | <|skeleton|>
class LocalInfoNCELoss:
"""Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the feature map."""
def __init__(self, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocalInfoNCELoss:
"""Define the extension of the InfoNCELoss for local structure as proposed in Chaitanya (2020). It enforces feature map region of two representation to be mapped similarly in a decoonvolutional network. Region are selected randomly on the feature map."""
def __init__(self, tau=0.5, K=3,... | the_stack_v2_python_sparse | code/src/models/optim/LossFunctions.py | antoine-spahr/Label-Efficient-Volumetric-Deep-Semantic-Segmentation-of-ICH | train | 6 |
44600ea2f5cc3a65c8728e5f89347e4aeb7f7c20 | [
"if public_ip is not None:\n self.vn_data['gcpAssignPublicIP'] = public_ip\nreturn self",
"if zone == '':\n self.vn_data['gcpZone'] = None\nelif zone is not None:\n self.vn_data['gcpZone'] = zone\nif project_id == '':\n self.vn_data['gcpProjectIdForCreatedResources'] = None\nelif project_id is not Non... | <|body_start_0|>
if public_ip is not None:
self.vn_data['gcpAssignPublicIP'] = public_ip
return self
<|end_body_0|>
<|body_start_1|>
if zone == '':
self.vn_data['gcpZone'] = None
elif zone is not None:
self.vn_data['gcpZone'] = zone
if project... | FMGCPVirtualNetwork | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FMGCPVirtualNetwork:
def set_assign_public_ip(self, public_ip=True):
"""Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if False, the instances will not be accessible from outside GCP"""
<|body_0|>
def set_location_for_cre... | stack_v2_sparse_classes_75kplus_train_000624 | 13,612 | permissive | [
{
"docstring": "Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if False, the instances will not be accessible from outside GCP",
"name": "set_assign_public_ip",
"signature": "def set_assign_public_ip(self, public_ip=True)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_052833 | Implement the Python class `FMGCPVirtualNetwork` described below.
Class description:
Implement the FMGCPVirtualNetwork class.
Method signatures and docstrings:
- def set_assign_public_ip(self, public_ip=True): Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if Fals... | Implement the Python class `FMGCPVirtualNetwork` described below.
Class description:
Implement the FMGCPVirtualNetwork class.
Method signatures and docstrings:
- def set_assign_public_ip(self, public_ip=True): Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if Fals... | 2f218b45b6354998cc2403ff517c5ef132fe8fdb | <|skeleton|>
class FMGCPVirtualNetwork:
def set_assign_public_ip(self, public_ip=True):
"""Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if False, the instances will not be accessible from outside GCP"""
<|body_0|>
def set_location_for_cre... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FMGCPVirtualNetwork:
def set_assign_public_ip(self, public_ip=True):
"""Sets whether the instances on this network will have a publicly accessible IP :param bool public_ip: if False, the instances will not be accessible from outside GCP"""
if public_ip is not None:
self.vn_data['gc... | the_stack_v2_python_sparse | dataikuapi/fm/virtualnetworks.py | dataiku/dataiku-api-client-python | train | 33 | |
fcc40d881c57e9b3641e318243dfd2a8ec7ca38a | [
"k = 0\nfor n in range(L, R + 1):\n result = bin(n).count('1')\n if is_prime(result):\n k = k + 1\nreturn k",
"primes = {2, 3, 5, 7, 11, 13, 17, 19}\nres = 0\nfor num in range(L, R + 1):\n if bin(num).count('1') in primes:\n res += 1\nreturn res"
] | <|body_start_0|>
k = 0
for n in range(L, R + 1):
result = bin(n).count('1')
if is_prime(result):
k = k + 1
return k
<|end_body_0|>
<|body_start_1|>
primes = {2, 3, 5, 7, 11, 13, 17, 19}
res = 0
for num in range(L, R + 1):
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_0|>
def static_countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
k = 0
for ... | stack_v2_sparse_classes_75kplus_train_000625 | 1,993 | no_license | [
{
"docstring": ":type L: int :type R: int :rtype: int",
"name": "countPrimeSetBits",
"signature": "def countPrimeSetBits(self, L, R)"
},
{
"docstring": ":type L: int :type R: int :rtype: int",
"name": "static_countPrimeSetBits",
"signature": "def static_countPrimeSetBits(self, L, R)"
}... | 2 | stack_v2_sparse_classes_30k_train_049565 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
- def static_countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
- def static_countPrimeSetBits(self, L, R): :type L: int :type R: int :rtype: int
<|skeleton|>
class Sol... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_0|>
def static_countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countPrimeSetBits(self, L, R):
""":type L: int :type R: int :rtype: int"""
k = 0
for n in range(L, R + 1):
result = bin(n).count('1')
if is_prime(result):
k = k + 1
return k
def static_countPrimeSetBits(self, L, R):
... | the_stack_v2_python_sparse | bit-manipulation/762_Prime_Number_of_Set_Bits_in_Binary_Representation.py | vsdrun/lc_public | train | 6 | |
3cae711f467f76900f7f38461ad3fd4e0e302a92 | [
"self.used_ifids: DefaultDict[ISD_AS, List[IfId]] = defaultdict(list)\nfor link in topo_file['links']:\n for ep in [LinkEp(link['a']), LinkEp(link['b'])]:\n if ep.ifid:\n self.used_ifids[ep].append(IfId(ep.ifid))\nfor ifids in self.used_ifids.values():\n ifids.sort()",
"ifid = pick_unused_... | <|body_start_0|>
self.used_ifids: DefaultDict[ISD_AS, List[IfId]] = defaultdict(list)
for link in topo_file['links']:
for ep in [LinkEp(link['a']), LinkEp(link['b'])]:
if ep.ifid:
self.used_ifids[ep].append(IfId(ep.ifid))
for ifids in self.used_ifi... | Helper class keeping track of assigned interface identifers per AS. | IfIdMapping | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IfIdMapping:
"""Helper class keeping track of assigned interface identifers per AS."""
def __init__(self, topo_file: MutableMapping[str, Any]):
"""Initializes used interface identifier sets from the given topology file."""
<|body_0|>
def assign_ifid(self, isd_as: ISD_AS)... | stack_v2_sparse_classes_75kplus_train_000626 | 25,735 | permissive | [
{
"docstring": "Initializes used interface identifier sets from the given topology file.",
"name": "__init__",
"signature": "def __init__(self, topo_file: MutableMapping[str, Any])"
},
{
"docstring": "Returns an unused ifid in the given AS and marks it as used for future calls.",
"name": "as... | 2 | stack_v2_sparse_classes_30k_train_045958 | Implement the Python class `IfIdMapping` described below.
Class description:
Helper class keeping track of assigned interface identifers per AS.
Method signatures and docstrings:
- def __init__(self, topo_file: MutableMapping[str, Any]): Initializes used interface identifier sets from the given topology file.
- def a... | Implement the Python class `IfIdMapping` described below.
Class description:
Helper class keeping track of assigned interface identifers per AS.
Method signatures and docstrings:
- def __init__(self, topo_file: MutableMapping[str, Any]): Initializes used interface identifier sets from the given topology file.
- def a... | 3d06a8fb030b17faec40026d21758ecbfb3d6744 | <|skeleton|>
class IfIdMapping:
"""Helper class keeping track of assigned interface identifers per AS."""
def __init__(self, topo_file: MutableMapping[str, Any]):
"""Initializes used interface identifier sets from the given topology file."""
<|body_0|>
def assign_ifid(self, isd_as: ISD_AS)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IfIdMapping:
"""Helper class keeping track of assigned interface identifers per AS."""
def __init__(self, topo_file: MutableMapping[str, Any]):
"""Initializes used interface identifier sets from the given topology file."""
self.used_ifids: DefaultDict[ISD_AS, List[IfId]] = defaultdict(lis... | the_stack_v2_python_sparse | ixp_testbed/gen/generator.py | lschulz/scion-ixp-testbed | train | 0 |
46f0c064e6b0835db6c3066df3a2c9741df4bacf | [
"ctx.ss = spatial_sigma\nctx.cs = color_sigma\nctx.fa = fast_approx\noutput_data = _C.bilateral_filter(input, spatial_sigma, color_sigma, fast_approx)\nreturn output_data",
"spatial_sigma, color_sigma, fast_approx = (ctx.ss, ctx.cs, ctx.fa)\ngrad_input = _C.bilateral_filter(grad_output, spatial_sigma, color_sigma... | <|body_start_0|>
ctx.ss = spatial_sigma
ctx.cs = color_sigma
ctx.fa = fast_approx
output_data = _C.bilateral_filter(input, spatial_sigma, color_sigma, fast_approx)
return output_data
<|end_body_0|>
<|body_start_1|>
spatial_sigma, color_sigma, fast_approx = (ctx.ss, ctx.c... | Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permutohedral lattice. See: https://en.wikipedia.org/wiki/Bilateral_filter https://graphi... | BilateralFilter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BilateralFilter:
"""Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permutohedral lattice. See: https://en.wikiped... | stack_v2_sparse_classes_75kplus_train_000627 | 17,992 | permissive | [
{
"docstring": "autograd forward",
"name": "forward",
"signature": "def forward(ctx, input, spatial_sigma=5, color_sigma=0.5, fast_approx=True)"
},
{
"docstring": "autograd backward",
"name": "backward",
"signature": "def backward(ctx, grad_output)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035637 | Implement the Python class `BilateralFilter` described below.
Class description:
Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permuto... | Implement the Python class `BilateralFilter` described below.
Class description:
Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permuto... | e48c3e2c741fa3fc705c4425d17ac4a5afac6c47 | <|skeleton|>
class BilateralFilter:
"""Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permutohedral lattice. See: https://en.wikiped... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BilateralFilter:
"""Blurs the input tensor spatially whilst preserving edges. Can run on 1D, 2D, or 3D, tensors (on top of Batch and Channel dimensions). Two implementations are provided, an exact solution and a much faster approximation which uses a permutohedral lattice. See: https://en.wikipedia.org/wiki/B... | the_stack_v2_python_sparse | monai/networks/layers/filtering.py | Project-MONAI/MONAI | train | 4,805 |
4f10b46ef45bdea8771b475fa58607ec86aa6285 | [
"if fields and detail:\n raise exception.InvalidParameterValue('Can not specify ?detail=True and fields in the same request.')\napi_utils.check_policy('baremetal:driver:get')\napi_utils.check_allow_driver_detail(detail)\napi_utils.check_allow_filter_driver_type(type)\n_check_allow_driver_fields(fields)\nif type ... | <|body_start_0|>
if fields and detail:
raise exception.InvalidParameterValue('Can not specify ?detail=True and fields in the same request.')
api_utils.check_policy('baremetal:driver:get')
api_utils.check_allow_driver_detail(detail)
api_utils.check_allow_filter_driver_type(typ... | REST controller for Drivers. | DriversController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DriversController:
"""REST controller for Drivers."""
def get_all(self, type=None, detail=None, fields=None):
"""Retrieve a list of drivers."""
<|body_0|>
def get_one(self, driver_name, fields=None):
"""Retrieve a single driver."""
<|body_1|>
def pro... | stack_v2_sparse_classes_75kplus_train_000628 | 15,740 | permissive | [
{
"docstring": "Retrieve a list of drivers.",
"name": "get_all",
"signature": "def get_all(self, type=None, detail=None, fields=None)"
},
{
"docstring": "Retrieve a single driver.",
"name": "get_one",
"signature": "def get_one(self, driver_name, fields=None)"
},
{
"docstring": "R... | 3 | null | Implement the Python class `DriversController` described below.
Class description:
REST controller for Drivers.
Method signatures and docstrings:
- def get_all(self, type=None, detail=None, fields=None): Retrieve a list of drivers.
- def get_one(self, driver_name, fields=None): Retrieve a single driver.
- def propert... | Implement the Python class `DriversController` described below.
Class description:
REST controller for Drivers.
Method signatures and docstrings:
- def get_all(self, type=None, detail=None, fields=None): Retrieve a list of drivers.
- def get_one(self, driver_name, fields=None): Retrieve a single driver.
- def propert... | ab76ff12e1c3c2208455e917f1a40d4000b4e990 | <|skeleton|>
class DriversController:
"""REST controller for Drivers."""
def get_all(self, type=None, detail=None, fields=None):
"""Retrieve a list of drivers."""
<|body_0|>
def get_one(self, driver_name, fields=None):
"""Retrieve a single driver."""
<|body_1|>
def pro... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DriversController:
"""REST controller for Drivers."""
def get_all(self, type=None, detail=None, fields=None):
"""Retrieve a list of drivers."""
if fields and detail:
raise exception.InvalidParameterValue('Can not specify ?detail=True and fields in the same request.')
a... | the_stack_v2_python_sparse | ironic/api/controllers/v1/driver.py | openstack/ironic | train | 411 |
33a520de9fd06e4f62f2093a7d1eb6e18769cc65 | [
"if not email:\n raise ValueError(_('The Email must be set'))\nemail = self.normalize_email(email)\nuser = self.model(email=email, username=username, **extra_fields)\nuser.set_password(password)\nuser.save()\nreturn user",
"extra_fields.setdefault('is_staff', True)\nextra_fields.setdefault('is_superuser', True... | <|body_start_0|>
if not email:
raise ValueError(_('The Email must be set'))
email = self.normalize_email(email)
user = self.model(email=email, username=username, **extra_fields)
user.set_password(password)
user.save()
return user
<|end_body_0|>
<|body_start_1... | CustomUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomUserManager:
def create_user(self, email, username, password, **extra_fields):
"""Create and save a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, username, password, **extra_fields):
"""Create and save a SuperUser with ... | stack_v2_sparse_classes_75kplus_train_000629 | 3,876 | no_license | [
{
"docstring": "Create and save a User with the given email and password.",
"name": "create_user",
"signature": "def create_user(self, email, username, password, **extra_fields)"
},
{
"docstring": "Create and save a SuperUser with the given email and password.",
"name": "create_superuser",
... | 2 | null | Implement the Python class `CustomUserManager` described below.
Class description:
Implement the CustomUserManager class.
Method signatures and docstrings:
- def create_user(self, email, username, password, **extra_fields): Create and save a User with the given email and password.
- def create_superuser(self, email, ... | Implement the Python class `CustomUserManager` described below.
Class description:
Implement the CustomUserManager class.
Method signatures and docstrings:
- def create_user(self, email, username, password, **extra_fields): Create and save a User with the given email and password.
- def create_superuser(self, email, ... | ee828a5ec7ffa874993299a9bf79dceaa11da80c | <|skeleton|>
class CustomUserManager:
def create_user(self, email, username, password, **extra_fields):
"""Create and save a User with the given email and password."""
<|body_0|>
def create_superuser(self, email, username, password, **extra_fields):
"""Create and save a SuperUser with ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomUserManager:
def create_user(self, email, username, password, **extra_fields):
"""Create and save a User with the given email and password."""
if not email:
raise ValueError(_('The Email must be set'))
email = self.normalize_email(email)
user = self.model(emai... | the_stack_v2_python_sparse | server/models/user.py | YAPP-16th/Team_Web_1_Backend | train | 3 | |
4eb211a916703cde49557c40a3d667fe86269cb3 | [
"se = SequencingExperiment.query.get(kf_id)\nif se is None:\n abort(404, 'could not find {} `{}`'.format('sequencing_experiment', kf_id))\nreturn SequencingExperimentSchema().jsonify(se)",
"se = SequencingExperiment.query.get(kf_id)\nif se is None:\n abort(404, 'could not find {} `{}`'.format('sequencing_ex... | <|body_start_0|>
se = SequencingExperiment.query.get(kf_id)
if se is None:
abort(404, 'could not find {} `{}`'.format('sequencing_experiment', kf_id))
return SequencingExperimentSchema().jsonify(se)
<|end_body_0|>
<|body_start_1|>
se = SequencingExperiment.query.get(kf_id)
... | SequencingExperiment REST API | SequencingExperimentAPI | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SequencingExperimentAPI:
"""SequencingExperiment REST API"""
def get(self, kf_id):
"""Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment"""
<|body_0|>
def patch(self, kf_id):
"""Update an existing sequen... | stack_v2_sparse_classes_75kplus_train_000630 | 6,474 | permissive | [
{
"docstring": "Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment",
"name": "get",
"signature": "def get(self, kf_id)"
},
{
"docstring": "Update an existing sequencing_experiment. Allows partial update of resource --- template: path: u... | 3 | null | Implement the Python class `SequencingExperimentAPI` described below.
Class description:
SequencingExperiment REST API
Method signatures and docstrings:
- def get(self, kf_id): Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment
- def patch(self, kf_id): Upda... | Implement the Python class `SequencingExperimentAPI` described below.
Class description:
SequencingExperiment REST API
Method signatures and docstrings:
- def get(self, kf_id): Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment
- def patch(self, kf_id): Upda... | 36ee3fc3d1ba9d1a177274d051fb175c56dd898e | <|skeleton|>
class SequencingExperimentAPI:
"""SequencingExperiment REST API"""
def get(self, kf_id):
"""Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment"""
<|body_0|>
def patch(self, kf_id):
"""Update an existing sequen... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SequencingExperimentAPI:
"""SequencingExperiment REST API"""
def get(self, kf_id):
"""Get a sequencing_experiment by id --- template: path: get_by_id.yml properties: resource: SequencingExperiment"""
se = SequencingExperiment.query.get(kf_id)
if se is None:
abort(404, ... | the_stack_v2_python_sparse | dataservice/api/sequencing_experiment/resources.py | kids-first/kf-api-dataservice | train | 9 |
ba5b3c14286eae33b13698809693a4f00da4be8a | [
"new_project = AdviserProject.objects.create(**validated_data)\nplayers = self.initial_data.get('players', [])\nPlayer.send_project(players, new_project)\nreturn new_project",
"instance.name = validated_data.get('name', instance.name)\ninstance.description = validated_data.get('description', instance.description)... | <|body_start_0|>
new_project = AdviserProject.objects.create(**validated_data)
players = self.initial_data.get('players', [])
Player.send_project(players, new_project)
return new_project
<|end_body_0|>
<|body_start_1|>
instance.name = validated_data.get('name', instance.name)
... | Serializer for AdviserProject | AdviserProjectSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdviserProjectSerializer:
"""Serializer for AdviserProject"""
def create(self, validated_data):
"""Create and return a new "AdviserProject" instance, given the validated data. Also send created AdviserProject to selected players"""
<|body_0|>
def update(self, instance, v... | stack_v2_sparse_classes_75kplus_train_000631 | 1,471 | no_license | [
{
"docstring": "Create and return a new \"AdviserProject\" instance, given the validated data. Also send created AdviserProject to selected players",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update and return an existing \"AdviserProject\" instance, gi... | 2 | stack_v2_sparse_classes_30k_train_004473 | Implement the Python class `AdviserProjectSerializer` described below.
Class description:
Serializer for AdviserProject
Method signatures and docstrings:
- def create(self, validated_data): Create and return a new "AdviserProject" instance, given the validated data. Also send created AdviserProject to selected player... | Implement the Python class `AdviserProjectSerializer` described below.
Class description:
Serializer for AdviserProject
Method signatures and docstrings:
- def create(self, validated_data): Create and return a new "AdviserProject" instance, given the validated data. Also send created AdviserProject to selected player... | 46bbe0fb30ce151e398034720939fb4fecea9ac5 | <|skeleton|>
class AdviserProjectSerializer:
"""Serializer for AdviserProject"""
def create(self, validated_data):
"""Create and return a new "AdviserProject" instance, given the validated data. Also send created AdviserProject to selected players"""
<|body_0|>
def update(self, instance, v... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdviserProjectSerializer:
"""Serializer for AdviserProject"""
def create(self, validated_data):
"""Create and return a new "AdviserProject" instance, given the validated data. Also send created AdviserProject to selected players"""
new_project = AdviserProject.objects.create(**validated_d... | the_stack_v2_python_sparse | itaplay/itaplay/projects/serializers.py | TarasStankovskyi/itaplay | train | 0 |
e81ce1a1a3ddec77988f145c8be6e1e2010c7c62 | [
"action = rule['action']\nuser_id = rule.get('user_id', '*')\nroom_id = rule.get('room_id', '*')\nalias = rule.get('alias', '*')\nif action in ('allow', 'deny'):\n self.action = action\nelse:\n raise ConfigError(\"%s rules can only have action of 'allow' or 'deny'\" % (option_name,))\nself._alias_matches_all ... | <|body_start_0|>
action = rule['action']
user_id = rule.get('user_id', '*')
room_id = rule.get('room_id', '*')
alias = rule.get('alias', '*')
if action in ('allow', 'deny'):
self.action = action
else:
raise ConfigError("%s rules can only have actio... | Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room. | _RoomDirectoryRule | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _RoomDirectoryRule:
"""Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room."""
def __init__(self, option_name: str, rule: JsonDict):
"""Args: option_name: Name of the config option this rule belongs to rule: The rule as specifi... | stack_v2_sparse_classes_75kplus_train_000632 | 5,480 | permissive | [
{
"docstring": "Args: option_name: Name of the config option this rule belongs to rule: The rule as specified in the config",
"name": "__init__",
"signature": "def __init__(self, option_name: str, rule: JsonDict)"
},
{
"docstring": "Tests if this rule matches the given user_id, room_id and alias... | 2 | stack_v2_sparse_classes_30k_train_049642 | Implement the Python class `_RoomDirectoryRule` described below.
Class description:
Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room.
Method signatures and docstrings:
- def __init__(self, option_name: str, rule: JsonDict): Args: option_name: Name of the con... | Implement the Python class `_RoomDirectoryRule` described below.
Class description:
Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room.
Method signatures and docstrings:
- def __init__(self, option_name: str, rule: JsonDict): Args: option_name: Name of the con... | d35bed8369514fe727b4fe1afb68f48cc8b2655a | <|skeleton|>
class _RoomDirectoryRule:
"""Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room."""
def __init__(self, option_name: str, rule: JsonDict):
"""Args: option_name: Name of the config option this rule belongs to rule: The rule as specifi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _RoomDirectoryRule:
"""Helper class to test whether a room directory action is allowed, like creating an alias or publishing a room."""
def __init__(self, option_name: str, rule: JsonDict):
"""Args: option_name: Name of the config option this rule belongs to rule: The rule as specified in the con... | the_stack_v2_python_sparse | synapse/config/room_directory.py | matrix-org/synapse | train | 12,215 |
922ee48224dad11e6eae1de8f3f78967d8c6eb19 | [
"super().__init__(master, **kwargs)\nself.master.title(title)\nself.master.columnconfigure(0, weight=1)\nself.master.rowconfigure(0, weight=1)\nself.grid(sticky='NEWS')\nself.create_widgets()\nfor column in range(self.grid_size()[0]):\n self.columnconfigure(column, weight=1)\nfor row in range(self.grid_size()[1]... | <|body_start_0|>
super().__init__(master, **kwargs)
self.master.title(title)
self.master.columnconfigure(0, weight=1)
self.master.rowconfigure(0, weight=1)
self.grid(sticky='NEWS')
self.create_widgets()
for column in range(self.grid_size()[0]):
self.co... | Sample tkinter application class | Application | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Application:
"""Sample tkinter application class"""
def __init__(self, master=None, title='<application>', **kwargs):
"""Create root window with frame, tune weight and resize"""
<|body_0|>
def create_widgets(self):
"""Create all the widgets"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_000633 | 1,239 | no_license | [
{
"docstring": "Create root window with frame, tune weight and resize",
"name": "__init__",
"signature": "def __init__(self, master=None, title='<application>', **kwargs)"
},
{
"docstring": "Create all the widgets",
"name": "create_widgets",
"signature": "def create_widgets(self)"
}
] | 2 | null | Implement the Python class `Application` described below.
Class description:
Sample tkinter application class
Method signatures and docstrings:
- def __init__(self, master=None, title='<application>', **kwargs): Create root window with frame, tune weight and resize
- def create_widgets(self): Create all the widgets | Implement the Python class `Application` described below.
Class description:
Sample tkinter application class
Method signatures and docstrings:
- def __init__(self, master=None, title='<application>', **kwargs): Create root window with frame, tune weight and resize
- def create_widgets(self): Create all the widgets
... | 6167e7c6803a5e9509dce0742cac8d62bf70f96a | <|skeleton|>
class Application:
"""Sample tkinter application class"""
def __init__(self, master=None, title='<application>', **kwargs):
"""Create root window with frame, tune weight and resize"""
<|body_0|>
def create_widgets(self):
"""Create all the widgets"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Application:
"""Sample tkinter application class"""
def __init__(self, master=None, title='<application>', **kwargs):
"""Create root window with frame, tune weight and resize"""
super().__init__(master, **kwargs)
self.master.title(title)
self.master.columnconfigure(0, weig... | the_stack_v2_python_sparse | 20210405_1/task_1.py | TheGhost8/pythonprac | train | 0 |
58267d18ea74cf0511604d99e7ee5072d91dc4e8 | [
"QtCore.QObject.__init__(self)\nself.q = Queue()\nself.fit = fo.fit_object(self.q, options[3], options[0], options[1], options[2], data)\nname = 'run_' + str(run) + 'index_' + str(options[3]) + '.txt'\nself.savePath = os.path.join(path, name)\nself.data = data\nself.index = options[3]\nself.exp_data = exp_data",
... | <|body_start_0|>
QtCore.QObject.__init__(self)
self.q = Queue()
self.fit = fo.fit_object(self.q, options[3], options[0], options[1], options[2], data)
name = 'run_' + str(run) + 'index_' + str(options[3]) + '.txt'
self.savePath = os.path.join(path, name)
self.data = data
... | Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index | ProcessImage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProcessImage:
"""Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index"""
def __init__(self, data, exp_data, options, path, run):
"""initialize fit_object"""
<|body_0|>
def run(... | stack_v2_sparse_classes_75kplus_train_000634 | 3,400 | no_license | [
{
"docstring": "initialize fit_object",
"name": "__init__",
"signature": "def __init__(self, data, exp_data, options, path, run)"
},
{
"docstring": "process results using methods from fit process and emit",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_001156 | Implement the Python class `ProcessImage` described below.
Class description:
Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index
Method signatures and docstrings:
- def __init__(self, data, exp_data, options, path, run): ... | Implement the Python class `ProcessImage` described below.
Class description:
Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index
Method signatures and docstrings:
- def __init__(self, data, exp_data, options, path, run): ... | 788fb964cdf7a5cfd747aa6e064ee31a4ffc3518 | <|skeleton|>
class ProcessImage:
"""Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index"""
def __init__(self, data, exp_data, options, path, run):
"""initialize fit_object"""
<|body_0|>
def run(... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProcessImage:
"""Processing object for threading purposes @parameters data: numpy array options: list of options for fit parameters [params, type_of_fit, ROI, index"""
def __init__(self, data, exp_data, options, path, run):
"""initialize fit_object"""
QtCore.QObject.__init__(self)
... | the_stack_v2_python_sparse | BECMonitor/Image.py | ZachGlassman/BECMonitor | train | 1 |
b2c516639ecd7ce0e218b8e9f3ac03b67ea58938 | [
"box = Box.get_by_urlsafe_key(request.boxKey)\nif not box:\n message = 'No box with the key \"%s\" exists.' % request.boxKey\n raise endpoints.NotFoundException(message)\nreturn BoxHelper.create_box(box)",
"product = Product.get_by_urlsafe_key(request.productKey)\nuser = User.get_by_urlsafe_key(request.user... | <|body_start_0|>
box = Box.get_by_urlsafe_key(request.boxKey)
if not box:
message = 'No box with the key "%s" exists.' % request.boxKey
raise endpoints.NotFoundException(message)
return BoxHelper.create_box(box)
<|end_body_0|>
<|body_start_1|>
product = Product.g... | The API for the aWare Box concept | Boxes | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Boxes:
"""The API for the aWare Box concept"""
def get_box(self, request):
"""Retrieve a single box for a specific product and user"""
<|body_0|>
def get_boxes(self, request):
"""Retrieve a list of boxes for a specific product and user"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_000635 | 3,048 | no_license | [
{
"docstring": "Retrieve a single box for a specific product and user",
"name": "get_box",
"signature": "def get_box(self, request)"
},
{
"docstring": "Retrieve a list of boxes for a specific product and user",
"name": "get_boxes",
"signature": "def get_boxes(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016120 | Implement the Python class `Boxes` described below.
Class description:
The API for the aWare Box concept
Method signatures and docstrings:
- def get_box(self, request): Retrieve a single box for a specific product and user
- def get_boxes(self, request): Retrieve a list of boxes for a specific product and user | Implement the Python class `Boxes` described below.
Class description:
The API for the aWare Box concept
Method signatures and docstrings:
- def get_box(self, request): Retrieve a single box for a specific product and user
- def get_boxes(self, request): Retrieve a list of boxes for a specific product and user
<|ske... | 777dd28290210f589f804d3d66d2a4a87079b736 | <|skeleton|>
class Boxes:
"""The API for the aWare Box concept"""
def get_box(self, request):
"""Retrieve a single box for a specific product and user"""
<|body_0|>
def get_boxes(self, request):
"""Retrieve a list of boxes for a specific product and user"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Boxes:
"""The API for the aWare Box concept"""
def get_box(self, request):
"""Retrieve a single box for a specific product and user"""
box = Box.get_by_urlsafe_key(request.boxKey)
if not box:
message = 'No box with the key "%s" exists.' % request.boxKey
rai... | the_stack_v2_python_sparse | api/internal/boxes.py | shubashri/src | train | 0 |
4b4514da69d54d32f117b0bc7f49c9e5229c5748 | [
"self.k = k\nself.heap = []\nfor n in nums:\n if len(self.heap) < k:\n heapq.heappush(self.heap, n)\n elif n > self.heap[0]:\n heapq.heapreplace(self.heap, n)",
"if len(self.heap) < self.k:\n heapq.heappush(self.heap, val)\n return self.heap[0]\nif val > self.heap[0]:\n heapq.heaprepl... | <|body_start_0|>
self.k = k
self.heap = []
for n in nums:
if len(self.heap) < k:
heapq.heappush(self.heap, n)
elif n > self.heap[0]:
heapq.heapreplace(self.heap, n)
<|end_body_0|>
<|body_start_1|>
if len(self.heap) < self.k:
... | KthLargest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.k = k
self.heap = []
for n in nums:
... | stack_v2_sparse_classes_75kplus_train_000636 | 1,643 | no_license | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047743 | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | e4d21223c85b622b5a905d1a056dfb2f300964b1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.k = k
self.heap = []
for n in nums:
if len(self.heap) < k:
heapq.heappush(self.heap, n)
elif n > self.heap[0]:
heapq.heapreplace(self.h... | the_stack_v2_python_sparse | Algorithms/heap/703.kth-largest-element-in-a-stream/kth-largest-element-in-a-stream.py | gosyang/leetcode | train | 1 | |
de8627e72009b23b70758efa5f46729af0a511b8 | [
"strSet = set()\nfor i in A:\n str = ''.join(sorted(i[0::2])) + '#'\n if len(i) > 1:\n str += ''.join(sorted(i[1::2]))\n if str not in strSet:\n strSet.add(str)\nreturn len(strSet)",
"def count(str):\n c = [0] * 52\n for i in range(len(str)):\n c[ord(str[i]) - ord('a') + 26 * (... | <|body_start_0|>
strSet = set()
for i in A:
str = ''.join(sorted(i[0::2])) + '#'
if len(i) > 1:
str += ''.join(sorted(i[1::2]))
if str not in strSet:
strSet.add(str)
return len(strSet)
<|end_body_0|>
<|body_start_1|>
de... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSpecialEquivGroups_1(self, A):
""":type A: List[str] :rtype: int"""
<|body_0|>
def numSpecialEquivGroups(self, A):
""":type A: List[str] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
strSet = set()
for i in A:
... | stack_v2_sparse_classes_75kplus_train_000637 | 1,910 | no_license | [
{
"docstring": ":type A: List[str] :rtype: int",
"name": "numSpecialEquivGroups_1",
"signature": "def numSpecialEquivGroups_1(self, A)"
},
{
"docstring": ":type A: List[str] :rtype: int",
"name": "numSpecialEquivGroups",
"signature": "def numSpecialEquivGroups(self, A)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002107 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSpecialEquivGroups_1(self, A): :type A: List[str] :rtype: int
- def numSpecialEquivGroups(self, A): :type A: List[str] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSpecialEquivGroups_1(self, A): :type A: List[str] :rtype: int
- def numSpecialEquivGroups(self, A): :type A: List[str] :rtype: int
<|skeleton|>
class Solution:
def n... | 0fdc1d60cfb3f4c26698a493da4986bfc873e02a | <|skeleton|>
class Solution:
def numSpecialEquivGroups_1(self, A):
""":type A: List[str] :rtype: int"""
<|body_0|>
def numSpecialEquivGroups(self, A):
""":type A: List[str] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numSpecialEquivGroups_1(self, A):
""":type A: List[str] :rtype: int"""
strSet = set()
for i in A:
str = ''.join(sorted(i[0::2])) + '#'
if len(i) > 1:
str += ''.join(sorted(i[1::2]))
if str not in strSet:
... | the_stack_v2_python_sparse | 893_GroupsofSpecialEquivalentStrings/893_GroupsofSpecialEquivalentStrings.py | ranson/leetcode | train | 0 | |
66bcc4d4c8919e5e854cdee11dcfb5309c4bdbdb | [
"api_version = '2019-04-01'\nurl = self.get_catalog.metadata['url']\npath_format_arguments = {'subscriptionId': self._serialize.url('subscription_id', subscription_id, 'str')}\nurl = self._client.format_url(url, **path_format_arguments)\nquery_parameters = {}\nquery_parameters['api-version'] = self._serialize.query... | <|body_start_0|>
api_version = '2019-04-01'
url = self.get_catalog.metadata['url']
path_format_arguments = {'subscriptionId': self._serialize.url('subscription_id', subscription_id, 'str')}
url = self._client.format_url(url, **path_format_arguments)
query_parameters = {}
... | AzureReservationAPIOperationsMixin | [
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AzureReservationAPIOperationsMixin:
def get_catalog(self, subscription_id, reserved_resource_type, location=None, custom_headers=None, raw=False, **operation_config):
"""Get the regions and skus that are available for RI purchase for the specified Azure subscription. :param subscription_... | stack_v2_sparse_classes_75kplus_train_000638 | 6,657 | permissive | [
{
"docstring": "Get the regions and skus that are available for RI purchase for the specified Azure subscription. :param subscription_id: Id of the subscription :type subscription_id: str :param reserved_resource_type: The type of the resource for which the skus should be provided. :type reserved_resource_type:... | 2 | stack_v2_sparse_classes_30k_train_052347 | Implement the Python class `AzureReservationAPIOperationsMixin` described below.
Class description:
Implement the AzureReservationAPIOperationsMixin class.
Method signatures and docstrings:
- def get_catalog(self, subscription_id, reserved_resource_type, location=None, custom_headers=None, raw=False, **operation_conf... | Implement the Python class `AzureReservationAPIOperationsMixin` described below.
Class description:
Implement the AzureReservationAPIOperationsMixin class.
Method signatures and docstrings:
- def get_catalog(self, subscription_id, reserved_resource_type, location=None, custom_headers=None, raw=False, **operation_conf... | f779de8e53dbec033f98f976284e6d9491fd60b3 | <|skeleton|>
class AzureReservationAPIOperationsMixin:
def get_catalog(self, subscription_id, reserved_resource_type, location=None, custom_headers=None, raw=False, **operation_config):
"""Get the regions and skus that are available for RI purchase for the specified Azure subscription. :param subscription_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AzureReservationAPIOperationsMixin:
def get_catalog(self, subscription_id, reserved_resource_type, location=None, custom_headers=None, raw=False, **operation_config):
"""Get the regions and skus that are available for RI purchase for the specified Azure subscription. :param subscription_id: Id of the ... | the_stack_v2_python_sparse | sdk/reservations/azure-mgmt-reservations/azure/mgmt/reservations/operations/_azure_reservation_api_operations.py | YijunXieMS/azure-sdk-for-python | train | 1 | |
d8e35c1a1ac0eade95c617147945579462d6bf12 | [
"super(FeedLink, self).__init__()\nself.title = title\nself.message_url = message_url\nself.pic_url = pic_url",
"if all(map(is_not_null_and_blank_str, [self.title, self.message_url, self.pic_url])):\n data = {'title': self.title, 'messageURL': self.message_url, 'picURL': self.pic_url}\n return data\nelse:\n... | <|body_start_0|>
super(FeedLink, self).__init__()
self.title = title
self.message_url = message_url
self.pic_url = pic_url
<|end_body_0|>
<|body_start_1|>
if all(map(is_not_null_and_blank_str, [self.title, self.message_url, self.pic_url])):
data = {'title': self.titl... | FeedCard类型单条消息格式 | FeedLink | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FeedLink:
"""FeedCard类型单条消息格式"""
def __init__(self, title, message_url, pic_url):
"""初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL"""
<|body_0|>
def get_data(self):
"""获取FeedLink消息数据（字典） :return: 本FeedLink消息的数据"... | stack_v2_sparse_classes_75kplus_train_000639 | 19,135 | permissive | [
{
"docstring": "初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL",
"name": "__init__",
"signature": "def __init__(self, title, message_url, pic_url)"
},
{
"docstring": "获取FeedLink消息数据（字典） :return: 本FeedLink消息的数据",
"name": "get_data",
"sign... | 2 | stack_v2_sparse_classes_30k_train_036978 | Implement the Python class `FeedLink` described below.
Class description:
FeedCard类型单条消息格式
Method signatures and docstrings:
- def __init__(self, title, message_url, pic_url): 初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL
- def get_data(self): 获取FeedLink消息数据（字典） :re... | Implement the Python class `FeedLink` described below.
Class description:
FeedCard类型单条消息格式
Method signatures and docstrings:
- def __init__(self, title, message_url, pic_url): 初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL
- def get_data(self): 获取FeedLink消息数据（字典） :re... | 4214a6dffc554b0e27354d1322cfe7d9a7494871 | <|skeleton|>
class FeedLink:
"""FeedCard类型单条消息格式"""
def __init__(self, title, message_url, pic_url):
"""初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL"""
<|body_0|>
def get_data(self):
"""获取FeedLink消息数据（字典） :return: 本FeedLink消息的数据"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FeedLink:
"""FeedCard类型单条消息格式"""
def __init__(self, title, message_url, pic_url):
"""初始化单条消息文本 :param title: 单条消息文本 :param message_url: 点击单条信息后触发的URL :param pic_url: 点击单条消息后面图片触发的URL"""
super(FeedLink, self).__init__()
self.title = title
self.message_url = message_url
... | the_stack_v2_python_sparse | 02src/02finalProject/04dingtalk_chatbot/dingtalkchatbot/chatbot.py | eiahb3838ya/PHBS_AI_TweetSentimentExtraction | train | 6 |
f8973512582a078cd9c764dd5715067069ad0d24 | [
"self.assertEqual(count_vowels('hello world'), 3)\nself.assertEqual(count_vowels('hEllO world'), 3)\nself.assertNotEqual(count_vowels('hll wrld'), 9)\nself.assertEqual(count_vowels('9876421a!o&g'), 2)\nself.assertEqual(count_vowels('hll wrld'), 0)",
"self.assertEqual(last_occurrence(target='Y', string='pyYthon'),... | <|body_start_0|>
self.assertEqual(count_vowels('hello world'), 3)
self.assertEqual(count_vowels('hEllO world'), 3)
self.assertNotEqual(count_vowels('hll wrld'), 9)
self.assertEqual(count_vowels('9876421a!o&g'), 2)
self.assertEqual(count_vowels('hll wrld'), 0)
<|end_body_0|>
<|bo... | TestIteration | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestIteration:
def test_count_vowels(self):
"""test the total number of vowels in a string"""
<|body_0|>
def test_last_occurrence(self):
"""test the last occurrence of an element in a string or list"""
<|body_1|>
def test_my_enumerate(self):
"""t... | stack_v2_sparse_classes_75kplus_train_000640 | 7,256 | no_license | [
{
"docstring": "test the total number of vowels in a string",
"name": "test_count_vowels",
"signature": "def test_count_vowels(self)"
},
{
"docstring": "test the last occurrence of an element in a string or list",
"name": "test_last_occurrence",
"signature": "def test_last_occurrence(sel... | 3 | stack_v2_sparse_classes_30k_train_038574 | Implement the Python class `TestIteration` described below.
Class description:
Implement the TestIteration class.
Method signatures and docstrings:
- def test_count_vowels(self): test the total number of vowels in a string
- def test_last_occurrence(self): test the last occurrence of an element in a string or list
- ... | Implement the Python class `TestIteration` described below.
Class description:
Implement the TestIteration class.
Method signatures and docstrings:
- def test_count_vowels(self): test the total number of vowels in a string
- def test_last_occurrence(self): test the last occurrence of an element in a string or list
- ... | 6fea7b54756f30e1f44d1019853f3dd88e2e905b | <|skeleton|>
class TestIteration:
def test_count_vowels(self):
"""test the total number of vowels in a string"""
<|body_0|>
def test_last_occurrence(self):
"""test the last occurrence of an element in a string or list"""
<|body_1|>
def test_my_enumerate(self):
"""t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestIteration:
def test_count_vowels(self):
"""test the total number of vowels in a string"""
self.assertEqual(count_vowels('hello world'), 3)
self.assertEqual(count_vowels('hEllO world'), 3)
self.assertNotEqual(count_vowels('hll wrld'), 9)
self.assertEqual(count_vowels... | the_stack_v2_python_sparse | HW04_Test_Ejona_Kocibelli.py | ekocibelli/Special-Topics-in-SE | train | 0 | |
76f61f0da683de1207955d6952826a9c99489868 | [
"if not gas:\n return False\nif not cost:\n return True\nn = gas.__len__()\nstart = 0\ncur = 0\niter = 0\nwhile True:\n cur += gas[iter] - cost[iter]\n iter += 1\n if cur < 0:\n if iter <= start:\n start += 1\n else:\n start = iter\n cur = 0\n else:\n ... | <|body_start_0|>
if not gas:
return False
if not cost:
return True
n = gas.__len__()
start = 0
cur = 0
iter = 0
while True:
cur += gas[iter] - cost[iter]
iter += 1
if cur < 0:
if iter <= s... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit1(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|b... | stack_v2_sparse_classes_75kplus_train_000641 | 1,721 | no_license | [
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit",
"signature": "def canCompleteCircuit(self, gas, cost)"
},
{
"docstring": ":type gas: List[int] :type cost: List[int] :rtype: int",
"name": "canCompleteCircuit1",
"signature": "def canCo... | 2 | stack_v2_sparse_classes_30k_test_002932 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit1(self, gas, cost): :type gas: List[int] :type cost: List[... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canCompleteCircuit(self, gas, cost): :type gas: List[int] :type cost: List[int] :rtype: int
- def canCompleteCircuit1(self, gas, cost): :type gas: List[int] :type cost: List[... | 472f780c3214aab5c713612812d834ccbe589434 | <|skeleton|>
class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_0|>
def canCompleteCircuit1(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def canCompleteCircuit(self, gas, cost):
""":type gas: List[int] :type cost: List[int] :rtype: int"""
if not gas:
return False
if not cost:
return True
n = gas.__len__()
start = 0
cur = 0
iter = 0
while True:
... | the_stack_v2_python_sparse | 4/134-Gas_Station.py | ChangXiaodong/Leetcode-solutions | train | 4 | |
a482d65f643be8f0ba671e7f37c217eee3c7cbb7 | [
"if not request.json:\n abort(400)\nfor expected in request_keys:\n if expected not in request.json:\n abort(400)",
"options = {}\nif 'options' in request.json:\n options = request.json.get('options')\n if len(options) > 0:\n options = json.loads(options)\nreturn options",
"FlaskWebSer... | <|body_start_0|>
if not request.json:
abort(400)
for expected in request_keys:
if expected not in request.json:
abort(400)
<|end_body_0|>
<|body_start_1|>
options = {}
if 'options' in request.json:
options = request.json.get('options')... | Flask Web Services Invoice Manager | FlaskWebServicesInvoiceManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlaskWebServicesInvoiceManager:
"""Flask Web Services Invoice Manager"""
def check_service_requirements(request_keys):
"""Checks service request minimal requirements."""
<|body_0|>
def get_service_options():
"""Returns service options."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_000642 | 7,699 | no_license | [
{
"docstring": "Checks service request minimal requirements.",
"name": "check_service_requirements",
"signature": "def check_service_requirements(request_keys)"
},
{
"docstring": "Returns service options.",
"name": "get_service_options",
"signature": "def get_service_options()"
},
{
... | 6 | stack_v2_sparse_classes_30k_train_005598 | Implement the Python class `FlaskWebServicesInvoiceManager` described below.
Class description:
Flask Web Services Invoice Manager
Method signatures and docstrings:
- def check_service_requirements(request_keys): Checks service request minimal requirements.
- def get_service_options(): Returns service options.
- def ... | Implement the Python class `FlaskWebServicesInvoiceManager` described below.
Class description:
Flask Web Services Invoice Manager
Method signatures and docstrings:
- def check_service_requirements(request_keys): Checks service request minimal requirements.
- def get_service_options(): Returns service options.
- def ... | a2ee333d2a4fe9821f3d24ee15d458f226ffcde5 | <|skeleton|>
class FlaskWebServicesInvoiceManager:
"""Flask Web Services Invoice Manager"""
def check_service_requirements(request_keys):
"""Checks service request minimal requirements."""
<|body_0|>
def get_service_options():
"""Returns service options."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlaskWebServicesInvoiceManager:
"""Flask Web Services Invoice Manager"""
def check_service_requirements(request_keys):
"""Checks service request minimal requirements."""
if not request.json:
abort(400)
for expected in request_keys:
if expected not in reques... | the_stack_v2_python_sparse | src/server/wsdl/invoice_manager.py | hamed1361554/sportmagazine-server | train | 0 |
73059f924a3cfc761f7f2860e15b2c4bffd8a2d4 | [
"super().__init__(*args, **kwargs)\nfor field in self.fields:\n if field in self.fields_not_required:\n self.fields[field].required = False\n else:\n self.fields[field].required = True\n if field in self.fields_hidden:\n self.fields[field].widget = forms.HiddenInput()",
"precio = sel... | <|body_start_0|>
super().__init__(*args, **kwargs)
for field in self.fields:
if field in self.fields_not_required:
self.fields[field].required = False
else:
self.fields[field].required = True
if field in self.fields_hidden:
... | Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen, el nombre ha de ser AnuncioXxxxxForm, donde Xxxxx la categoría del anuncio. @ver... | BaseAnuncioForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseAnuncioForm:
"""Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen, el nombre ha de ser AnuncioXxxxxForm,... | stack_v2_sparse_classes_75kplus_train_000643 | 8,207 | no_license | [
{
"docstring": "Recorre los campos del form y los añade como required, etc. Utiliza las propiedades: - fields_not_required: Campos que no serán obligatorios. - fields_hidden: Campos que serán ocultos.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "El ... | 4 | stack_v2_sparse_classes_30k_train_025314 | Implement the Python class `BaseAnuncioForm` described below.
Class description:
Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen... | Implement the Python class `BaseAnuncioForm` described below.
Class description:
Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen... | 44b8d2934105ccbf02ff6c20896aa8c2b1746eaa | <|skeleton|>
class BaseAnuncioForm:
"""Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen, el nombre ha de ser AnuncioXxxxxForm,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseAnuncioForm:
"""Formulario base para crear y actualizar anuncios. Este Form no se instancia directamente NUNCA. type_anuncio es relativo, por eso esta en campos no requeridos. @ver: BaseAnuncioViviendaForm.clean_estado_inmueble Las subclases que se creen, el nombre ha de ser AnuncioXxxxxForm, donde Xxxxx ... | the_stack_v2_python_sparse | src/apps/anuncios/forms.py | snicoper/ofervivienda | train | 1 |
5083f45a3c61e275b744207df49547c1a717c2f0 | [
"self.port = port\nself.host = host\nself.env = env\nself.display_pred = display_pred\nself.prepare_pred = prepare_pred\nself.plots = {}\nlogger.debug('Create viewer on host {0} port {1}.'.format(host, port))\nself.viewer = visdom.Visdom(port=self.port, server=self.host, env=self.env)\nwhile len(logging.root.handle... | <|body_start_0|>
self.port = port
self.host = host
self.env = env
self.display_pred = display_pred
self.prepare_pred = prepare_pred
self.plots = {}
logger.debug('Create viewer on host {0} port {1}.'.format(host, port))
self.viewer = visdom.Visdom(port=self... | Define a dynamic board. It can be used to gather interesting plottings during a training. | Board | [
"LicenseRef-scancode-cecill-b-en"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Board:
"""Define a dynamic board. It can be used to gather interesting plottings during a training."""
def __init__(self, port=8097, host='http://localhost', env='main', display_pred=False, prepare_pred=None):
"""Initilaize the class. Parameters ---------- port: int, default 8097 the... | stack_v2_sparse_classes_75kplus_train_000644 | 5,317 | permissive | [
{
"docstring": "Initilaize the class. Parameters ---------- port: int, default 8097 the port on which the visdom server is launched. host: str, default 'http://localhost' the host on which visdom is launched. env: str, default 'main' the environment to be used. display_pred: bool, default False if set render th... | 4 | null | Implement the Python class `Board` described below.
Class description:
Define a dynamic board. It can be used to gather interesting plottings during a training.
Method signatures and docstrings:
- def __init__(self, port=8097, host='http://localhost', env='main', display_pred=False, prepare_pred=None): Initilaize the... | Implement the Python class `Board` described below.
Class description:
Define a dynamic board. It can be used to gather interesting plottings during a training.
Method signatures and docstrings:
- def __init__(self, port=8097, host='http://localhost', env='main', display_pred=False, prepare_pred=None): Initilaize the... | 7a807ed690929563ce36086eaf0998d0e8856aea | <|skeleton|>
class Board:
"""Define a dynamic board. It can be used to gather interesting plottings during a training."""
def __init__(self, port=8097, host='http://localhost', env='main', display_pred=False, prepare_pred=None):
"""Initilaize the class. Parameters ---------- port: int, default 8097 the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Board:
"""Define a dynamic board. It can be used to gather interesting plottings during a training."""
def __init__(self, port=8097, host='http://localhost', env='main', display_pred=False, prepare_pred=None):
"""Initilaize the class. Parameters ---------- port: int, default 8097 the port on whic... | the_stack_v2_python_sparse | pynet/plotting/board.py | Duplums/pynet | train | 0 |
e99767f55543e52e08fd8d4754afad45eb5be1fc | [
"if self._token is None:\n self._token = get_token()\nelif time.time() - self._token['time_fetched'] > self._token['expires_in']:\n self._token = get_token()\nreturn self._token",
"if self._api_token is None:\n self._api_token = get_management_token()\nelif time.time() - self._api_token['time_fetched'] >... | <|body_start_0|>
if self._token is None:
self._token = get_token()
elif time.time() - self._token['time_fetched'] > self._token['expires_in']:
self._token = get_token()
return self._token
<|end_body_0|>
<|body_start_1|>
if self._api_token is None:
sel... | Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class | AuthorizedTask | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthorizedTask:
"""Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class"""
def token(self):
"""Defines the google access token for the class. Returns: dict -- Access response dictionary with key, ttl, time.""... | stack_v2_sparse_classes_75kplus_train_000645 | 2,565 | permissive | [
{
"docstring": "Defines the google access token for the class. Returns: dict -- Access response dictionary with key, ttl, time.",
"name": "token",
"signature": "def token(self)"
},
{
"docstring": "Defines the google access token for the class. Returns: dict -- Access response dictionary with key... | 2 | stack_v2_sparse_classes_30k_train_029263 | Implement the Python class `AuthorizedTask` described below.
Class description:
Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class
Method signatures and docstrings:
- def token(self): Defines the google access token for the class. Returns: ... | Implement the Python class `AuthorizedTask` described below.
Class description:
Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class
Method signatures and docstrings:
- def token(self): Defines the google access token for the class. Returns: ... | f6fcadb06a300c905f88de8879198d6485e6fc6a | <|skeleton|>
class AuthorizedTask:
"""Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class"""
def token(self):
"""Defines the google access token for the class. Returns: dict -- Access response dictionary with key, ttl, time.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthorizedTask:
"""Subclass of the Task type, exists to allow sharing of access tokens between workers. Arguments: Task {Task} -- Celery task class"""
def token(self):
"""Defines the google access token for the class. Returns: dict -- Access response dictionary with key, ttl, time."""
if ... | the_stack_v2_python_sparse | framework/tasks/authorized_task.py | CIMAC-CIDC/cidc-taskmanager | train | 0 |
9da83533feb426dad7194cc78eb79869d4248ff3 | [
"roc_reading = {'confidenceThreshold': threshold, 'recall': tpr, 'falsePositiveRate': fpr}\nif 'confidenceMetrics' not in self.metadata.keys():\n self.metadata['confidenceMetrics'] = []\nself.metadata['confidenceMetrics'].append(roc_reading)",
"if len(fpr) != len(tpr) or len(fpr) != len(threshold) or len(tpr) ... | <|body_start_0|>
roc_reading = {'confidenceThreshold': threshold, 'recall': tpr, 'falsePositiveRate': fpr}
if 'confidenceMetrics' not in self.metadata.keys():
self.metadata['confidenceMetrics'] = []
self.metadata['confidenceMetrics'].append(roc_reading)
<|end_body_0|>
<|body_start_1... | An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics. | ClassificationMetrics | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassificationMetrics:
"""An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics."""
def log_roc_data_point(self, fpr: float, tpr: float, threshold: float)... | stack_v2_sparse_classes_75kplus_train_000646 | 17,073 | permissive | [
{
"docstring": "Logs a single data point in the ROC curve to metadata. Args: fpr: False positive rate value of the data point. tpr: True positive rate value of the data point. threshold: Threshold value for the data point.",
"name": "log_roc_data_point",
"signature": "def log_roc_data_point(self, fpr: f... | 6 | stack_v2_sparse_classes_30k_train_024205 | Implement the Python class `ClassificationMetrics` described below.
Class description:
An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics.
Method signatures and docstrings:
- de... | Implement the Python class `ClassificationMetrics` described below.
Class description:
An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics.
Method signatures and docstrings:
- de... | 3fb199658f68e7debf4906d9ce32a9a307e39243 | <|skeleton|>
class ClassificationMetrics:
"""An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics."""
def log_roc_data_point(self, fpr: float, tpr: float, threshold: float)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClassificationMetrics:
"""An artifact for storing classification metrics. Args: name: Name of the metrics artifact. uri: The metrics artifact's location on disk or cloud storage. metadata: The key-value scalar metrics."""
def log_roc_data_point(self, fpr: float, tpr: float, threshold: float) -> None:
... | the_stack_v2_python_sparse | sdk/python/kfp/dsl/types/artifact_types.py | kubeflow/pipelines | train | 3,434 |
5b559883102438a230447a3b8a2ba732529dba47 | [
"try:\n if not isinstance(data['caseProject_id'], int):\n return JsonResponse(code='999996', msg='参数有误！')\n if not data['reportFrom'] or not data['mailUser'] or (not data['mailPass']):\n return JsonResponse(code='999996', msg='参数有误！')\nexcept KeyError:\n return JsonResponse(code='999996', msg... | <|body_start_0|>
try:
if not isinstance(data['caseProject_id'], int):
return JsonResponse(code='999996', msg='参数有误！')
if not data['reportFrom'] or not data['mailUser'] or (not data['mailPass']):
return JsonResponse(code='999996', msg='参数有误！')
excep... | EmailConfig | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmailConfig:
def parameter_check(self, data):
"""校验参数 :param data: :return:"""
<|body_0|>
def post(self, request):
"""添加或修改邮件发送配置 :param request: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
if not isinstance(data['caseP... | stack_v2_sparse_classes_75kplus_train_000647 | 7,584 | no_license | [
{
"docstring": "校验参数 :param data: :return:",
"name": "parameter_check",
"signature": "def parameter_check(self, data)"
},
{
"docstring": "添加或修改邮件发送配置 :param request: :return:",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014157 | Implement the Python class `EmailConfig` described below.
Class description:
Implement the EmailConfig class.
Method signatures and docstrings:
- def parameter_check(self, data): 校验参数 :param data: :return:
- def post(self, request): 添加或修改邮件发送配置 :param request: :return: | Implement the Python class `EmailConfig` described below.
Class description:
Implement the EmailConfig class.
Method signatures and docstrings:
- def parameter_check(self, data): 校验参数 :param data: :return:
- def post(self, request): 添加或修改邮件发送配置 :param request: :return:
<|skeleton|>
class EmailConfig:
def parame... | d65297b71ac9f759d508985ee15564162c285e11 | <|skeleton|>
class EmailConfig:
def parameter_check(self, data):
"""校验参数 :param data: :return:"""
<|body_0|>
def post(self, request):
"""添加或修改邮件发送配置 :param request: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmailConfig:
def parameter_check(self, data):
"""校验参数 :param data: :return:"""
try:
if not isinstance(data['caseProject_id'], int):
return JsonResponse(code='999996', msg='参数有误！')
if not data['reportFrom'] or not data['mailUser'] or (not data['mailPass']... | the_stack_v2_python_sparse | automation-test_new/api_test/case/caseProjectMember.py | beitou/django_api_test | train | 0 | |
be05ee74f5be5b29e91e0a7bf236e9a82e8df98a | [
"with git_utils.NewGitCheckout(repository=LOCAL_REPO) as checkout:\n filepath = os.path.join(checkout.root, REPO_FILE)\n self.assertTrue(os.path.exists(filepath), 'file %s should exist' % filepath)\nself.assertFalse(os.path.exists(filepath), 'file %s should not exist' % filepath)",
"with git_utils.NewGitChe... | <|body_start_0|>
with git_utils.NewGitCheckout(repository=LOCAL_REPO) as checkout:
filepath = os.path.join(checkout.root, REPO_FILE)
self.assertTrue(os.path.exists(filepath), 'file %s should exist' % filepath)
self.assertFalse(os.path.exists(filepath), 'file %s should not exist' ... | NewGitCheckoutTest | [
"BSD-3-Clause",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NewGitCheckoutTest:
def test_defaults(self):
"""Test NewGitCheckout created using default parameters."""
<|body_0|>
def test_remote(self):
"""Test NewGitCheckout with a remote repo. This makes requests across the network, so we may not want to run it very often..."""... | stack_v2_sparse_classes_75kplus_train_000648 | 4,015 | permissive | [
{
"docstring": "Test NewGitCheckout created using default parameters.",
"name": "test_defaults",
"signature": "def test_defaults(self)"
},
{
"docstring": "Test NewGitCheckout with a remote repo. This makes requests across the network, so we may not want to run it very often...",
"name": "tes... | 4 | stack_v2_sparse_classes_30k_train_053700 | Implement the Python class `NewGitCheckoutTest` described below.
Class description:
Implement the NewGitCheckoutTest class.
Method signatures and docstrings:
- def test_defaults(self): Test NewGitCheckout created using default parameters.
- def test_remote(self): Test NewGitCheckout with a remote repo. This makes req... | Implement the Python class `NewGitCheckoutTest` described below.
Class description:
Implement the NewGitCheckoutTest class.
Method signatures and docstrings:
- def test_defaults(self): Test NewGitCheckout created using default parameters.
- def test_remote(self): Test NewGitCheckout with a remote repo. This makes req... | 47dbb2ff9ae01305b190f409ccea00b3b4f0bc79 | <|skeleton|>
class NewGitCheckoutTest:
def test_defaults(self):
"""Test NewGitCheckout created using default parameters."""
<|body_0|>
def test_remote(self):
"""Test NewGitCheckout with a remote repo. This makes requests across the network, so we may not want to run it very often..."""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NewGitCheckoutTest:
def test_defaults(self):
"""Test NewGitCheckout created using default parameters."""
with git_utils.NewGitCheckout(repository=LOCAL_REPO) as checkout:
filepath = os.path.join(checkout.root, REPO_FILE)
self.assertTrue(os.path.exists(filepath), 'file %... | the_stack_v2_python_sparse | externals/skia/common/py/utils/git_utils_manualtest.py | mono/linux-packaging-skiasharp | train | 1 | |
e7686e33272482ab49e219eb9c5dff7e8f89f422 | [
"val = {}\nfor column in self.__table__.columns:\n val[column.key] = getattr(self, column.key)\nreturn val",
"val = self.value\nif hasattr(self.__class__, '_expandedFields'):\n for field in self.__class__._expandedFields:\n val[field] = [item.expandedValue for item in getattr(self, field).all()]\nret... | <|body_start_0|>
val = {}
for column in self.__table__.columns:
val[column.key] = getattr(self, column.key)
return val
<|end_body_0|>
<|body_start_1|>
val = self.value
if hasattr(self.__class__, '_expandedFields'):
for field in self.__class__._expandedFie... | Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion. | TableBase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableBase:
"""Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion."""
def value(self):
"""This extracts the values of the object into a simple dictionary, suitab... | stack_v2_sparse_classes_75kplus_train_000649 | 2,266 | no_license | [
{
"docstring": "This extracts the values of the object into a simple dictionary, suitable for passing to jsonify. Values are selected based on __table__ object, which is created & managed by SQLAlchemy",
"name": "value",
"signature": "def value(self)"
},
{
"docstring": "This injects additional i... | 2 | stack_v2_sparse_classes_30k_train_018983 | Implement the Python class `TableBase` described below.
Class description:
Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion.
Method signatures and docstrings:
- def value(self): This extracts ... | Implement the Python class `TableBase` described below.
Class description:
Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion.
Method signatures and docstrings:
- def value(self): This extracts ... | a9dfbf6dd68ebfe8de5f3a4df3c26a9c8ee9e9f0 | <|skeleton|>
class TableBase:
"""Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion."""
def value(self):
"""This extracts the values of the object into a simple dictionary, suitab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TableBase:
"""Define the base functionality for the tables, including a simple primary key and method to convert into a simple (or extended) dictionary class, suitalble for JSON conversion."""
def value(self):
"""This extracts the values of the object into a simple dictionary, suitable for passin... | the_stack_v2_python_sparse | raw/table_base.py | divido/littlefinger | train | 0 |
8aefaba9b382d84fe30da2e717b8ae922bd23c4f | [
"self.promoted_at = APIHelper.UnixDateTime(promoted_at) if promoted_at else None\nself.assistant = assistant\nself.additional_properties = additional_properties\nsuper(Boss, self).__init__(address, age, birthday, birthtime, department, dependents, hired_at, joining_day, name, salary, uid, working_days, boss, person... | <|body_start_0|>
self.promoted_at = APIHelper.UnixDateTime(promoted_at) if promoted_at else None
self.assistant = assistant
self.additional_properties = additional_properties
super(Boss, self).__init__(address, age, birthday, birthtime, department, dependents, hired_at, joining_day, name... | Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here. | Boss | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Boss:
"""Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here."""
def __init__(self, address=None, age=None, birthday=None,... | stack_v2_sparse_classes_75kplus_train_000650 | 13,843 | permissive | [
{
"docstring": "Constructor for the Boss class",
"name": "__init__",
"signature": "def __init__(self, address=None, age=None, birthday=None, birthtime=None, department=None, dependents=None, hired_at=None, joining_day='Monday', name=None, promoted_at=None, salary=None, uid=None, working_days=None, assis... | 2 | stack_v2_sparse_classes_30k_train_007629 | Implement the Python class `Boss` described below.
Class description:
Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here.
Method signatures and doc... | Implement the Python class `Boss` described below.
Class description:
Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here.
Method signatures and doc... | 49acc3d416a1dde7ea43b178d070484baf1b7f2b | <|skeleton|>
class Boss:
"""Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here."""
def __init__(self, address=None, age=None, birthday=None,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Boss:
"""Implementation of the 'Boss' model. Testing circular reference. NOTE: This class inherits from 'Employee'. Attributes: promoted_at (datetime): TODO: type description here. assistant (Employee): TODO: type description here."""
def __init__(self, address=None, age=None, birthday=None, birthtime=No... | the_stack_v2_python_sparse | PYTHON_GENERIC_LIB/tester/models/person.py | MaryamAdnan3/Tester1 | train | 0 |
3de18d906f6389066a9078b673c6d7dc78b0e573 | [
"self.data = data\nself._attr_name = name\nself._attr_device_class = device_class\nself._attr_is_on = None\nself._payload_on = payload_on\nself._payload_off = payload_off\nself._value_template = value_template\nself._attr_unique_id = unique_id",
"await self.hass.async_add_executor_job(self.data.update)\nvalue = s... | <|body_start_0|>
self.data = data
self._attr_name = name
self._attr_device_class = device_class
self._attr_is_on = None
self._payload_on = payload_on
self._payload_off = payload_off
self._value_template = value_template
self._attr_unique_id = unique_id
<|e... | Representation of a command line binary sensor. | CommandBinarySensor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initi... | stack_v2_sparse_classes_75kplus_train_000651 | 4,158 | permissive | [
{
"docstring": "Initialize the Command line binary sensor.",
"name": "__init__",
"signature": "def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None"
},
{... | 2 | stack_v2_sparse_classes_30k_train_000020 | Implement the Python class `CommandBinarySensor` described below.
Class description:
Representation of a command line binary sensor.
Method signatures and docstrings:
- def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_templat... | Implement the Python class `CommandBinarySensor` described below.
Class description:
Representation of a command line binary sensor.
Method signatures and docstrings:
- def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_templat... | 2e65b77b2b5c17919939481f327963abdfdc53f0 | <|skeleton|>
class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CommandBinarySensor:
"""Representation of a command line binary sensor."""
def __init__(self, data: CommandSensorData, name: str, device_class: BinarySensorDeviceClass | None, payload_on: str, payload_off: str, value_template: Template | None, unique_id: str | None) -> None:
"""Initialize the Com... | the_stack_v2_python_sparse | homeassistant/components/command_line/binary_sensor.py | konnected-io/home-assistant | train | 24 |
b6e025296eeb18341217a175400754743697196f | [
"if [i for i in BanMiddleware.RESOURCE_WHITELIST if i in request.path]:\n return\nuser = getattr(request, 'user', None)\nif user is not None and user.is_authenticated():\n banned = request.COOKIES.get(BanMiddleware.BAN_COOKIE_NAME, False)\n if banned is not False:\n user.profile.ban()",
"if [i for... | <|body_start_0|>
if [i for i in BanMiddleware.RESOURCE_WHITELIST if i in request.path]:
return
user = getattr(request, 'user', None)
if user is not None and user.is_authenticated():
banned = request.COOKIES.get(BanMiddleware.BAN_COOKIE_NAME, False)
if banned i... | Ajouter une information de ban au cookie d'un banni | BanMiddleware | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BanMiddleware:
"""Ajouter une information de ban au cookie d'un banni"""
def process_request(self, request):
"""Traiter la requête"""
<|body_0|>
def process_response(self, request, response):
"""Traiter la réponse"""
<|body_1|>
<|end_skeleton|>
<|body_s... | stack_v2_sparse_classes_75kplus_train_000652 | 6,927 | no_license | [
{
"docstring": "Traiter la requête",
"name": "process_request",
"signature": "def process_request(self, request)"
},
{
"docstring": "Traiter la réponse",
"name": "process_response",
"signature": "def process_response(self, request, response)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042638 | Implement the Python class `BanMiddleware` described below.
Class description:
Ajouter une information de ban au cookie d'un banni
Method signatures and docstrings:
- def process_request(self, request): Traiter la requête
- def process_response(self, request, response): Traiter la réponse | Implement the Python class `BanMiddleware` described below.
Class description:
Ajouter une information de ban au cookie d'un banni
Method signatures and docstrings:
- def process_request(self, request): Traiter la requête
- def process_response(self, request, response): Traiter la réponse
<|skeleton|>
class BanMiddl... | 8cef6f6e89c1990e2b25f83e54e0c3481d83b6d7 | <|skeleton|>
class BanMiddleware:
"""Ajouter une information de ban au cookie d'un banni"""
def process_request(self, request):
"""Traiter la requête"""
<|body_0|>
def process_response(self, request, response):
"""Traiter la réponse"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BanMiddleware:
"""Ajouter une information de ban au cookie d'un banni"""
def process_request(self, request):
"""Traiter la requête"""
if [i for i in BanMiddleware.RESOURCE_WHITELIST if i in request.path]:
return
user = getattr(request, 'user', None)
if user is ... | the_stack_v2_python_sparse | scoop/rogue/middleware/ban.py | artscoop/scoop | train | 0 |
23936d71e7156c5b658f1b838becc588c486b1e0 | [
"coins.reverse()\n\n@lru_cache(maxsize=None)\ndef helper(index, remaining):\n if remaining == 0:\n return 1\n if remaining < 0 or index >= len(coins):\n return 0\n return helper(index, remaining - coins[index]) + helper(index + 1, remaining)\nreturn helper(0, amount)",
"dp = [0] * (amount +... | <|body_start_0|>
coins.reverse()
@lru_cache(maxsize=None)
def helper(index, remaining):
if remaining == 0:
return 1
if remaining < 0 or index >= len(coins):
return 0
return helper(index, remaining - coins[index]) + helper(index... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def change(self, amount: int, coins: List[int]) -> int:
"""DFS"""
<|body_0|>
def change(self, amount: int, coins: List[int]) -> int:
"""Dynamic Programming"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
coins.reverse()
@lru_cache... | stack_v2_sparse_classes_75kplus_train_000653 | 909 | no_license | [
{
"docstring": "DFS",
"name": "change",
"signature": "def change(self, amount: int, coins: List[int]) -> int"
},
{
"docstring": "Dynamic Programming",
"name": "change",
"signature": "def change(self, amount: int, coins: List[int]) -> int"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount: int, coins: List[int]) -> int: DFS
- def change(self, amount: int, coins: List[int]) -> int: Dynamic Programming | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount: int, coins: List[int]) -> int: DFS
- def change(self, amount: int, coins: List[int]) -> int: Dynamic Programming
<|skeleton|>
class Solution:
def c... | e50dc0642f087f37ab3234390be3d8a0ed48fe62 | <|skeleton|>
class Solution:
def change(self, amount: int, coins: List[int]) -> int:
"""DFS"""
<|body_0|>
def change(self, amount: int, coins: List[int]) -> int:
"""Dynamic Programming"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def change(self, amount: int, coins: List[int]) -> int:
"""DFS"""
coins.reverse()
@lru_cache(maxsize=None)
def helper(index, remaining):
if remaining == 0:
return 1
if remaining < 0 or index >= len(coins):
retur... | the_stack_v2_python_sparse | Leetcode/518. Coin Change 2.py | brlala/Educative-Grokking-Coding-Exercise | train | 3 | |
9101b1950e12875e4a7b7930d1ac422ff16c505e | [
"self.Screen_WIDTH = WIDTH\nself.counter = 0\nself.score_design = ''",
"for pipe in pipes:\n if not pipe.passed:\n if pipe.x + pipe.top_img.get_width() // 2 < bird.x:\n self.counter += 1\n pipe.passed = True\n return True",
"self.score_design = STAT_FONT.render('Score:... | <|body_start_0|>
self.Screen_WIDTH = WIDTH
self.counter = 0
self.score_design = ''
<|end_body_0|>
<|body_start_1|>
for pipe in pipes:
if not pipe.passed:
if pipe.x + pipe.top_img.get_width() // 2 < bird.x:
self.counter += 1
... | Score | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Score:
def __init__(self, WIDTH):
"""Method that initiates the object Score using pre-established specifications"""
<|body_0|>
def count(self, bird, pipes):
"""Flow that counts the score of the game Input = (Bird object, List) Output = None or Boolean"""
<|bo... | stack_v2_sparse_classes_75kplus_train_000654 | 1,775 | permissive | [
{
"docstring": "Method that initiates the object Score using pre-established specifications",
"name": "__init__",
"signature": "def __init__(self, WIDTH)"
},
{
"docstring": "Flow that counts the score of the game Input = (Bird object, List) Output = None or Boolean",
"name": "count",
"si... | 4 | stack_v2_sparse_classes_30k_train_035202 | Implement the Python class `Score` described below.
Class description:
Implement the Score class.
Method signatures and docstrings:
- def __init__(self, WIDTH): Method that initiates the object Score using pre-established specifications
- def count(self, bird, pipes): Flow that counts the score of the game Input = (B... | Implement the Python class `Score` described below.
Class description:
Implement the Score class.
Method signatures and docstrings:
- def __init__(self, WIDTH): Method that initiates the object Score using pre-established specifications
- def count(self, bird, pipes): Flow that counts the score of the game Input = (B... | 94c870179cec32aa733a612a6faeb047df16d977 | <|skeleton|>
class Score:
def __init__(self, WIDTH):
"""Method that initiates the object Score using pre-established specifications"""
<|body_0|>
def count(self, bird, pipes):
"""Flow that counts the score of the game Input = (Bird object, List) Output = None or Boolean"""
<|bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Score:
def __init__(self, WIDTH):
"""Method that initiates the object Score using pre-established specifications"""
self.Screen_WIDTH = WIDTH
self.counter = 0
self.score_design = ''
def count(self, bird, pipes):
"""Flow that counts the score of the game Input = (Bi... | the_stack_v2_python_sparse | flappy-brird/utils/score.py | victorathanasio/Personal-projects | train | 0 | |
2ffdfcad09525fc2408a45fffcdceed962ef9171 | [
"for app_region in self.app.regions.values():\n app_region.instance_max = 1\n app_region.volumes['data0'] = {'count': 1, 'size': 1}\n laika_service = app_region.services['laika']\n laika_service.volumes['/mnt/data0'] = '/mnt/data'\n laika_service.environment['DISK_PATH'] = '/mnt/data/file.txt'\nself.... | <|body_start_0|>
for app_region in self.app.regions.values():
app_region.instance_max = 1
app_region.volumes['data0'] = {'count': 1, 'size': 1}
laika_service = app_region.services['laika']
laika_service.volumes['/mnt/data0'] = '/mnt/data'
laika_service... | TestDeployPersistence | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
<|body_0|>
def test_02_cache(self):
"""Deploy a service with ElastiCache, verify."""
<|body_1|>
def test_03_rds(self):
"""Deploy a service w... | stack_v2_sparse_classes_75kplus_train_000655 | 2,156 | permissive | [
{
"docstring": "Deploy a service with persistent EBS volume, verify.",
"name": "test_01_disk",
"signature": "def test_01_disk(self)"
},
{
"docstring": "Deploy a service with ElastiCache, verify.",
"name": "test_02_cache",
"signature": "def test_02_cache(self)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_048299 | Implement the Python class `TestDeployPersistence` described below.
Class description:
Implement the TestDeployPersistence class.
Method signatures and docstrings:
- def test_01_disk(self): Deploy a service with persistent EBS volume, verify.
- def test_02_cache(self): Deploy a service with ElastiCache, verify.
- def... | Implement the Python class `TestDeployPersistence` described below.
Class description:
Implement the TestDeployPersistence class.
Method signatures and docstrings:
- def test_01_disk(self): Deploy a service with persistent EBS volume, verify.
- def test_02_cache(self): Deploy a service with ElastiCache, verify.
- def... | 900b8ada0017f727163c5c2ae464e17d747ba0e8 | <|skeleton|>
class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
<|body_0|>
def test_02_cache(self):
"""Deploy a service with ElastiCache, verify."""
<|body_1|>
def test_03_rds(self):
"""Deploy a service w... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestDeployPersistence:
def test_01_disk(self):
"""Deploy a service with persistent EBS volume, verify."""
for app_region in self.app.regions.values():
app_region.instance_max = 1
app_region.volumes['data0'] = {'count': 1, 'size': 1}
laika_service = app_regio... | the_stack_v2_python_sparse | src/test_integ/test_persistence.py | tom9nguyen/spacel-provision | train | 0 | |
99316f5465fb225bf04da7bfa63b27f5d4bace76 | [
"if heuristics not in [-1, 1, 2]:\n print('Invalid value for heuristics parameter.' + 'Check python3 robinmax.py --help.')\nepsilon = utils.epsilon(graph)\nself.graph = graph\nself.thresh_budget = thresh_budget\nself.max_thresh_dev = max_thresh_dev\nself.weight_budget = weight_budget\nself.max_weight_dev = max_w... | <|body_start_0|>
if heuristics not in [-1, 1, 2]:
print('Invalid value for heuristics parameter.' + 'Check python3 robinmax.py --help.')
epsilon = utils.epsilon(graph)
self.graph = graph
self.thresh_budget = thresh_budget
self.max_thresh_dev = max_thresh_dev
s... | The parameter class. Contains all the parameters necessary for the algorithm. | RobinmaxArgs | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RobinmaxArgs:
"""The parameter class. Contains all the parameters necessary for the algorithm."""
def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds, heuristics, disable_cuts, solve_as_lp, debug_level, out_f):
... | stack_v2_sparse_classes_75kplus_train_000656 | 3,360 | permissive | [
{
"docstring": "Constructor.",
"name": "__init__",
"signature": "def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds, heuristics, disable_cuts, solve_as_lp, debug_level, out_f)"
},
{
"docstring": "Convert to string for pri... | 2 | stack_v2_sparse_classes_30k_train_034530 | Implement the Python class `RobinmaxArgs` described below.
Class description:
The parameter class. Contains all the parameters necessary for the algorithm.
Method signatures and docstrings:
- def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds,... | Implement the Python class `RobinmaxArgs` described below.
Class description:
The parameter class. Contains all the parameters necessary for the algorithm.
Method signatures and docstrings:
- def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds,... | 0745a09bcfa6f527817602433755afe6dea33f02 | <|skeleton|>
class RobinmaxArgs:
"""The parameter class. Contains all the parameters necessary for the algorithm."""
def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds, heuristics, disable_cuts, solve_as_lp, debug_level, out_f):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RobinmaxArgs:
"""The parameter class. Contains all the parameters necessary for the algorithm."""
def __init__(self, graph, thresh_budget, max_thresh_dev, weight_budget, max_weight_dev, max_cover_size, time_limit, num_seeds, heuristics, disable_cuts, solve_as_lp, debug_level, out_f):
"""Construct... | the_stack_v2_python_sparse | robinmax_args.py | sartorg/robinmax | train | 1 |
5d4369f933ee86ec845b1c3599d502952f527e6c | [
"ObjectManager.__init__(self)\nself.getters.update({'email_domain': 'get_general', 'organization': 'get_foreign_key', 'role': 'get_foreign_key', 'effective_role': 'get_foreign_key', 'effective_role_name': 'get_general'})\nself.setters.update({'email_domain': 'set_general', 'organization': 'set_foreign_key', 'role':... | <|body_start_0|>
ObjectManager.__init__(self)
self.getters.update({'email_domain': 'get_general', 'organization': 'get_foreign_key', 'role': 'get_foreign_key', 'effective_role': 'get_foreign_key', 'effective_role_name': 'get_general'})
self.setters.update({'email_domain': 'set_general', 'organiz... | Manage mappings between email domain and automatic organization and role assignment. | OrgEmailDomainManager | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OrgEmailDomainManager:
"""Manage mappings between email domain and automatic organization and role assignment."""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, email_domain, organization, role=None):
"""Create a new OrgEmailDomain ... | stack_v2_sparse_classes_75kplus_train_000657 | 1,902 | permissive | [
{
"docstring": "constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Create a new OrgEmailDomain mapping @param email_domain domain name to look for in user's email address @param organization organization to be assigned @param role role to be assigned within or... | 2 | stack_v2_sparse_classes_30k_val_000879 | Implement the Python class `OrgEmailDomainManager` described below.
Class description:
Manage mappings between email domain and automatic organization and role assignment.
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, email_domain, organization, role=None): Create ... | Implement the Python class `OrgEmailDomainManager` described below.
Class description:
Manage mappings between email domain and automatic organization and role assignment.
Method signatures and docstrings:
- def __init__(self): constructor
- def create(self, auth_token, email_domain, organization, role=None): Create ... | a59457bc37f0501aea1f54d006a6de94ff80511c | <|skeleton|>
class OrgEmailDomainManager:
"""Manage mappings between email domain and automatic organization and role assignment."""
def __init__(self):
"""constructor"""
<|body_0|>
def create(self, auth_token, email_domain, organization, role=None):
"""Create a new OrgEmailDomain ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OrgEmailDomainManager:
"""Manage mappings between email domain and automatic organization and role assignment."""
def __init__(self):
"""constructor"""
ObjectManager.__init__(self)
self.getters.update({'email_domain': 'get_general', 'organization': 'get_foreign_key', 'role': 'get_... | the_stack_v2_python_sparse | pr_services/user_system/organization_email_domain_manager.py | ninemoreminutes/openassign-server | train | 0 |
cce2681597a753edd19cb76d9017794a4fc8af10 | [
"if len(self) < 2:\n raise IndexError(f'Cannot obtain the penultimate set of coordinates, only had {len(self)}')\nreturn self[-2]",
"if len(self) < 1:\n raise IndexError('Cannot obtain the final set of coordinates from an empty history')\nreturn self[-1]",
"if len(self) == 0:\n raise IndexError('No min... | <|body_start_0|>
if len(self) < 2:
raise IndexError(f'Cannot obtain the penultimate set of coordinates, only had {len(self)}')
return self[-2]
<|end_body_0|>
<|body_start_1|>
if len(self) < 1:
raise IndexError('Cannot obtain the final set of coordinates from an empty his... | Sequential history of coordinates | OptimiserHistory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptimiserHistory:
"""Sequential history of coordinates"""
def penultimate(self) -> OptCoordinates:
"""Last but one set of coordinates (the penultimate set) ----------------------------------------------------------------------- Returns: (OptCoordinates):"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_000658 | 33,069 | permissive | [
{
"docstring": "Last but one set of coordinates (the penultimate set) ----------------------------------------------------------------------- Returns: (OptCoordinates):",
"name": "penultimate",
"signature": "def penultimate(self) -> OptCoordinates"
},
{
"docstring": "Last set of coordinates ----... | 5 | stack_v2_sparse_classes_30k_train_026315 | Implement the Python class `OptimiserHistory` described below.
Class description:
Sequential history of coordinates
Method signatures and docstrings:
- def penultimate(self) -> OptCoordinates: Last but one set of coordinates (the penultimate set) -----------------------------------------------------------------------... | Implement the Python class `OptimiserHistory` described below.
Class description:
Sequential history of coordinates
Method signatures and docstrings:
- def penultimate(self) -> OptCoordinates: Last but one set of coordinates (the penultimate set) -----------------------------------------------------------------------... | 4d6667592f083dfcf38de6b75c4222c0a0e7b60b | <|skeleton|>
class OptimiserHistory:
"""Sequential history of coordinates"""
def penultimate(self) -> OptCoordinates:
"""Last but one set of coordinates (the penultimate set) ----------------------------------------------------------------------- Returns: (OptCoordinates):"""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OptimiserHistory:
"""Sequential history of coordinates"""
def penultimate(self) -> OptCoordinates:
"""Last but one set of coordinates (the penultimate set) ----------------------------------------------------------------------- Returns: (OptCoordinates):"""
if len(self) < 2:
r... | the_stack_v2_python_sparse | autode/opt/optimisers/base.py | duartegroup/autodE | train | 132 |
0cb4cd4f9ff045a296381afa0c8eb652dfcdae31 | [
"supported_detection_types = ['bbox', 'segmentation']\nif detection_type not in supported_detection_types:\n raise ValueError('Unsupported detection type: {}. Supported values are: {}'.format(detection_type, supported_detection_types))\nself._detection_type = detection_type\ncoco.COCO.__init__(self)\nself.datase... | <|body_start_0|>
supported_detection_types = ['bbox', 'segmentation']
if detection_type not in supported_detection_types:
raise ValueError('Unsupported detection type: {}. Supported values are: {}'.format(detection_type, supported_detection_types))
self._detection_type = detection_ty... | Wrapper for the pycocotools COCO class. | COCOWrapper | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class COCOWrapper:
"""Wrapper for the pycocotools COCO class."""
def __init__(self, dataset, detection_type='bbox'):
"""COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the coco.COCO class constructor reads from a JSON file. This f... | stack_v2_sparse_classes_75kplus_train_000659 | 37,770 | permissive | [
{
"docstring": "COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the coco.COCO class constructor reads from a JSON file. This function duplicates the same behavior but loads from a dictionary, allowing us to perform evaluation without writing to externa... | 2 | stack_v2_sparse_classes_30k_train_040087 | Implement the Python class `COCOWrapper` described below.
Class description:
Wrapper for the pycocotools COCO class.
Method signatures and docstrings:
- def __init__(self, dataset, detection_type='bbox'): COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the c... | Implement the Python class `COCOWrapper` described below.
Class description:
Wrapper for the pycocotools COCO class.
Method signatures and docstrings:
- def __init__(self, dataset, detection_type='bbox'): COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the c... | a5388a45f71a949639b35cc5b990bd130d2d8164 | <|skeleton|>
class COCOWrapper:
"""Wrapper for the pycocotools COCO class."""
def __init__(self, dataset, detection_type='bbox'):
"""COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the coco.COCO class constructor reads from a JSON file. This f... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class COCOWrapper:
"""Wrapper for the pycocotools COCO class."""
def __init__(self, dataset, detection_type='bbox'):
"""COCOWrapper constructor. See http://mscoco.org/dataset/#format for a description of the format. By default, the coco.COCO class constructor reads from a JSON file. This function dupli... | the_stack_v2_python_sparse | TensorFlow/Detection/SSD/models/research/object_detection/metrics/coco_tools.py | NVIDIA/DeepLearningExamples | train | 11,838 |
c68749b39557cf795fe82776cd735d863080170d | [
"_url_path = '/v1/replies'\n_query_builder = Configuration.base_uri\n_query_builder += _url_path\n_query_url = APIHelper.clean_url(_query_builder)\n_headers = {'accept': 'application/json'}\n_request = self.http_client.get(_query_url, headers=_headers)\nAuthManager.apply(_request, _url_path)\n_context = self.execut... | <|body_start_0|>
_url_path = '/v1/replies'
_query_builder = Configuration.base_uri
_query_builder += _url_path
_query_url = APIHelper.clean_url(_query_builder)
_headers = {'accept': 'application/json'}
_request = self.http_client.get(_query_url, headers=_headers)
... | A Controller to access Endpoints in the message_media_messages API. | RepliesController | [
"Apache-2.0",
"curl",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RepliesController:
"""A Controller to access Endpoints in the message_media_messages API."""
def check_replies(self):
"""Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages that have been sent from a handset in response to a message ... | stack_v2_sparse_classes_75kplus_train_000660 | 8,304 | permissive | [
{
"docstring": "Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages that have been sent from a handset in response to a message sent by an application or messages that have been sent from a handset to a inbound number associated with an account, known as a dedi... | 2 | stack_v2_sparse_classes_30k_train_030159 | Implement the Python class `RepliesController` described below.
Class description:
A Controller to access Endpoints in the message_media_messages API.
Method signatures and docstrings:
- def check_replies(self): Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages tha... | Implement the Python class `RepliesController` described below.
Class description:
A Controller to access Endpoints in the message_media_messages API.
Method signatures and docstrings:
- def check_replies(self): Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages tha... | 7963f5725c5feff7cbc74cc62fe889575f3a83f9 | <|skeleton|>
class RepliesController:
"""A Controller to access Endpoints in the message_media_messages API."""
def check_replies(self):
"""Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages that have been sent from a handset in response to a message ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RepliesController:
"""A Controller to access Endpoints in the message_media_messages API."""
def check_replies(self):
"""Does a GET request to /v1/replies. Check for any replies that have been received. Replies are messages that have been sent from a handset in response to a message sent by an ap... | the_stack_v2_python_sparse | message_media_messages/controllers/replies_controller.py | messagemedia/messages-python-sdk | train | 6 |
d603ab78096a1feef099faa888d181caaa7b1781 | [
"response = self.testapp.get(feconf.CONTRIBUTE_GALLERY_URL)\nself.assertEqual(response.status_int, 302)\nself.assertEqual(response.location, self.get_expected_login_url(feconf.CONTRIBUTE_GALLERY_URL))\nself.login('editor@example.com')\nresponse = self.testapp.get(feconf.CONTRIBUTE_GALLERY_URL)\nself.assertEqual(res... | <|body_start_0|>
response = self.testapp.get(feconf.CONTRIBUTE_GALLERY_URL)
self.assertEqual(response.status_int, 302)
self.assertEqual(response.location, self.get_expected_login_url(feconf.CONTRIBUTE_GALLERY_URL))
self.login('editor@example.com')
response = self.testapp.get(feco... | ContributeGalleryTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContributeGalleryTest:
def test_contribute_gallery_page(self):
"""Test access to the contributors' gallery page."""
<|body_0|>
def test_contribute_gallery_handler(self):
"""Test the contribute gallery data handler."""
<|body_1|>
def test_exploration_uplo... | stack_v2_sparse_classes_75kplus_train_000661 | 23,453 | permissive | [
{
"docstring": "Test access to the contributors' gallery page.",
"name": "test_contribute_gallery_page",
"signature": "def test_contribute_gallery_page(self)"
},
{
"docstring": "Test the contribute gallery data handler.",
"name": "test_contribute_gallery_handler",
"signature": "def test_... | 3 | stack_v2_sparse_classes_30k_train_051473 | Implement the Python class `ContributeGalleryTest` described below.
Class description:
Implement the ContributeGalleryTest class.
Method signatures and docstrings:
- def test_contribute_gallery_page(self): Test access to the contributors' gallery page.
- def test_contribute_gallery_handler(self): Test the contribute ... | Implement the Python class `ContributeGalleryTest` described below.
Class description:
Implement the ContributeGalleryTest class.
Method signatures and docstrings:
- def test_contribute_gallery_page(self): Test access to the contributors' gallery page.
- def test_contribute_gallery_handler(self): Test the contribute ... | aead304c95a282c9ca8035bc25c4794864d07578 | <|skeleton|>
class ContributeGalleryTest:
def test_contribute_gallery_page(self):
"""Test access to the contributors' gallery page."""
<|body_0|>
def test_contribute_gallery_handler(self):
"""Test the contribute gallery data handler."""
<|body_1|>
def test_exploration_uplo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContributeGalleryTest:
def test_contribute_gallery_page(self):
"""Test access to the contributors' gallery page."""
response = self.testapp.get(feconf.CONTRIBUTE_GALLERY_URL)
self.assertEqual(response.status_int, 302)
self.assertEqual(response.location, self.get_expected_login_... | the_stack_v2_python_sparse | core/controllers/galleries_test.py | aldeka/oppia | train | 3 | |
1b7575a64366b7da437ac0ffd9fddd6860b639ac | [
"self.cutoff = cutoff\nself.box_width = box_width\nself.voxel_width = voxel_width\nself.reduce_to_contacts = reduce_to_contacts",
"if 'complex' in kwargs:\n datapoint = kwargs.get('complex')\n raise DeprecationWarning('Complex is being phased out as a parameter, please pass \"datapoint\" instead.')\ntry:\n ... | <|body_start_0|>
self.cutoff = cutoff
self.box_width = box_width
self.voxel_width = voxel_width
self.reduce_to_contacts = reduce_to_contacts
<|end_body_0|>
<|body_start_1|>
if 'complex' in kwargs:
datapoint = kwargs.get('complex')
raise DeprecationWarning... | Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in which it originated to create a local salt bridge array. ... | SaltBridgeVoxelizer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SaltBridgeVoxelizer:
"""Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in which it o... | stack_v2_sparse_classes_75kplus_train_000662 | 27,676 | permissive | [
{
"docstring": "Parameters ---------- cutoff: float, optional (default 5.0) The distance in angstroms within which atoms must be to be considered for a salt bridge between them. box_width: float, optional (default 16.0) Size of a box in which voxel features are calculated. Box is centered on a ligand centroid. ... | 2 | stack_v2_sparse_classes_30k_train_015433 | Implement the Python class `SaltBridgeVoxelizer` described below.
Class description:
Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this... | Implement the Python class `SaltBridgeVoxelizer` described below.
Class description:
Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this... | ee6e67ebcf7bf04259cf13aff6388e2b791fea3d | <|skeleton|>
class SaltBridgeVoxelizer:
"""Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in which it o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SaltBridgeVoxelizer:
"""Localize salt bridges between atoms in macromolecular complexes. Given a macromolecular complex made up of multiple constitutent molecules, compute salt bridges between atoms in the macromolecular complex. For each atom, localize this salt bridge in the voxel in which it originated to ... | the_stack_v2_python_sparse | deepchem/feat/complex_featurizers/grid_featurizers.py | deepchem/deepchem | train | 4,876 |
09222293b2a8b8a6b6cc3d2742f6cb5da469ee6b | [
"if head is None:\n return None\nnode = []\np = head\nwhile p is not None:\n node.append(p)\n p = p.next\nnode_len = len(node)\nprev_node = node_len - n - 1\ncurrent_node = node_len - n\nif prev_node < 0:\n return head.next\nnode[prev_node].next = node[current_node].next\nreturn head",
"dummy = ListNo... | <|body_start_0|>
if head is None:
return None
node = []
p = head
while p is not None:
node.append(p)
p = p.next
node_len = len(node)
prev_node = node_len - n - 1
current_node = node_len - n
if prev_node < 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode:
"""遍历链表，将节点指针存到数组中，然后再执行删除操作"""
<|body_0|>
def remove_nth_from_end_2(self, head: ListNode, n: int) -> ListNode:
"""使用快慢双指针，起始时中间间隔n个节点, 注意起始位置虚节点的使用"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_000663 | 2,300 | no_license | [
{
"docstring": "遍历链表，将节点指针存到数组中，然后再执行删除操作",
"name": "remove_nth_from_end",
"signature": "def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode"
},
{
"docstring": "使用快慢双指针，起始时中间间隔n个节点, 注意起始位置虚节点的使用",
"name": "remove_nth_from_end_2",
"signature": "def remove_nth_from_end_2(self... | 2 | stack_v2_sparse_classes_30k_train_012271 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode: 遍历链表，将节点指针存到数组中，然后再执行删除操作
- def remove_nth_from_end_2(self, head: ListNode, n: int) -> ListNode: 使用快慢双指针，起始时中间间... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode: 遍历链表，将节点指针存到数组中，然后再执行删除操作
- def remove_nth_from_end_2(self, head: ListNode, n: int) -> ListNode: 使用快慢双指针，起始时中间间... | 3a04d7228c563e408a97b2a9a69c6dddd7379007 | <|skeleton|>
class Solution:
def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode:
"""遍历链表，将节点指针存到数组中，然后再执行删除操作"""
<|body_0|>
def remove_nth_from_end_2(self, head: ListNode, n: int) -> ListNode:
"""使用快慢双指针，起始时中间间隔n个节点, 注意起始位置虚节点的使用"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def remove_nth_from_end(self, head: ListNode, n: int) -> ListNode:
"""遍历链表，将节点指针存到数组中，然后再执行删除操作"""
if head is None:
return None
node = []
p = head
while p is not None:
node.append(p)
p = p.next
node_len = len(node)
... | the_stack_v2_python_sparse | remove_nth_from_end.py | ningmengpian/algorithm | train | 0 | |
3c09cf2807dc23faa9390c7a3b89e8aea77b3e21 | [
"scheme = urlparse(url).scheme\nhandler = getattr(self, '_load_' + scheme, None)\nif handler is None:\n msg = 'unhandled url resource scheme: `%s`'\n logger.error(msg % url)\n reply(None)\n return\nhandler(url, metadata, reply)",
"spec = urlparse(url)\nprovider = self.image_providers.get(spec.netloc)\... | <|body_start_0|>
scheme = urlparse(url).scheme
handler = getattr(self, '_load_' + scheme, None)
if handler is None:
msg = 'unhandled url resource scheme: `%s`'
logger.error(msg % url)
reply(None)
return
handler(url, metadata, reply)
<|end_b... | A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects associated with a host name. For example, a user can provide an image for the url... | ResourceManager | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResourceManager:
"""A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects associated with a host name. For examp... | stack_v2_sparse_classes_75kplus_train_000664 | 4,547 | permissive | [
{
"docstring": "Load a resource from the manager. Parameters ---------- url : str The url pointing to the resource to load. metadata : dict Additional metadata required to load the resource of the given type. See the individual loading handlers for the supported metadata. reply : URLReply A url reply which will... | 3 | stack_v2_sparse_classes_30k_train_020128 | Implement the Python class `ResourceManager` described below.
Class description:
A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects... | Implement the Python class `ResourceManager` described below.
Class description:
A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects... | 424bba29219de58fe9e47196de6763de8b2009f2 | <|skeleton|>
class ResourceManager:
"""A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects associated with a host name. For examp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResourceManager:
"""A class which manages resource loading for a `Session`. A `ResourceManager` is used by a `Session` object to load resources when a url resource request is made by a client session. Users work with the manager by assigning provider objects associated with a host name. For example, a user ca... | the_stack_v2_python_sparse | enaml/resource_manager.py | enthought/enaml | train | 17 |
fa0ce257e243bfcf0e06e684872b9420b4aa5189 | [
"Block.__init__(self, scenario, args)\nif self.language is None:\n raise LoadingException('Language must be defined!')",
"aroot = zone.atree\ntroot = zone.ttree\nsent_roots = aroot.get_children(ordered=True)\nif sent_roots:\n sent_roots = sent_roots[0:1]\nsent_roots.extend([t.lex_anode for t in troot.get_de... | <|body_start_0|>
Block.__init__(self, scenario, args)
if self.language is None:
raise LoadingException('Language must be defined!')
<|end_body_0|>
<|body_start_1|>
aroot = zone.atree
troot = zone.ttree
sent_roots = aroot.get_children(ordered=True)
if sent_roo... | Capitalize the first word in the sentence (skip punctuation etc.). | CapitalizeSentStart | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CapitalizeSentStart:
"""Capitalize the first word in the sentence (skip punctuation etc.)."""
def __init__(self, scenario, args):
"""Constructor, checking the argument values"""
<|body_0|>
def process_zone(self, zone):
"""Find the first valid word in the sentence... | stack_v2_sparse_classes_75kplus_train_000665 | 2,312 | permissive | [
{
"docstring": "Constructor, checking the argument values",
"name": "__init__",
"signature": "def __init__(self, scenario, args)"
},
{
"docstring": "Find the first valid word in the sentence and capitalize it.",
"name": "process_zone",
"signature": "def process_zone(self, zone)"
}
] | 2 | stack_v2_sparse_classes_30k_train_018120 | Implement the Python class `CapitalizeSentStart` described below.
Class description:
Capitalize the first word in the sentence (skip punctuation etc.).
Method signatures and docstrings:
- def __init__(self, scenario, args): Constructor, checking the argument values
- def process_zone(self, zone): Find the first valid... | Implement the Python class `CapitalizeSentStart` described below.
Class description:
Capitalize the first word in the sentence (skip punctuation etc.).
Method signatures and docstrings:
- def __init__(self, scenario, args): Constructor, checking the argument values
- def process_zone(self, zone): Find the first valid... | 73af644ec35c8a1cd0c37cd478c2afc1db717e0b | <|skeleton|>
class CapitalizeSentStart:
"""Capitalize the first word in the sentence (skip punctuation etc.)."""
def __init__(self, scenario, args):
"""Constructor, checking the argument values"""
<|body_0|>
def process_zone(self, zone):
"""Find the first valid word in the sentence... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CapitalizeSentStart:
"""Capitalize the first word in the sentence (skip punctuation etc.)."""
def __init__(self, scenario, args):
"""Constructor, checking the argument values"""
Block.__init__(self, scenario, args)
if self.language is None:
raise LoadingException('Lang... | the_stack_v2_python_sparse | alex/components/nlg/tectotpl/block/t2a/cs/capitalizesentstart.py | oplatek/alex | train | 0 |
5844acb242d79af6ebf50afb39fed05351a23d46 | [
"if obj is None:\n raise Exception('Object cannot be null')\nif name is None:\n raise Exception('Property name cannot be null')\nname = name.lower()\nif isinstance(obj, dict):\n for key in obj.keys():\n if name == str(key).lower():\n obj[key] = value\n return\n obj[name] = v... | <|body_start_0|>
if obj is None:
raise Exception('Object cannot be null')
if name is None:
raise Exception('Property name cannot be null')
name = name.lower()
if isinstance(obj, dict):
for key in obj.keys():
if name == str(key).lower():... | Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is also able to handle maps and arrays. For maps properties are key-pairs identified... | ObjectWriter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ObjectWriter:
"""Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is also able to handle maps and arrays. For ... | stack_v2_sparse_classes_75kplus_train_000666 | 3,803 | permissive | [
{
"docstring": "ets args of object property specified by its name. The object can be a user defined object, map or array. The property name correspondently must be object property, map key or array index. If the property does not exist or introspection fails this method doesn't do anything and doesn't any throw... | 2 | stack_v2_sparse_classes_30k_train_008793 | Implement the Python class `ObjectWriter` described below.
Class description:
Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is al... | Implement the Python class `ObjectWriter` described below.
Class description:
Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is al... | 17f8a231fb75684032ec57b24025c9a3ca3dcdd6 | <|skeleton|>
class ObjectWriter:
"""Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is also able to handle maps and arrays. For ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ObjectWriter:
"""Helper class to perform property introspection and dynamic writing. In contrast to :class:`PropertyReflector <pip_services3_commons.reflect.PropertyReflector.PropertyReflector>` which only introspects regular objects, this ObjectWriter is also able to handle maps and arrays. For maps properti... | the_stack_v2_python_sparse | pip_services3_commons/reflect/ObjectWriter.py | pip-services3-python/pip-services3-commons-python | train | 0 |
6cbb073eefcb2371ff40183a96f348d5313c11f0 | [
"n = len(s)\ndp = [[0] * n for _ in range(n)]\nres = 0\nfor i in range(n - 1, -1, -1):\n for j in range(i, n):\n if s[i] == s[j]:\n if j - i < 3 or dp[i + 1][j - 1] == 1:\n dp[i][j] = 1\n res += 1\nreturn res",
"def helper(s, left, right):\n res = 0\n while... | <|body_start_0|>
n = len(s)
dp = [[0] * n for _ in range(n)]
res = 0
for i in range(n - 1, -1, -1):
for j in range(i, n):
if s[i] == s[j]:
if j - i < 3 or dp[i + 1][j - 1] == 1:
dp[i][j] = 1
r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countSubstrings0(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def countSubstrings(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(s)
dp = [[0] * n for _ in range(n)]
... | stack_v2_sparse_classes_75kplus_train_000667 | 1,490 | no_license | [
{
"docstring": ":type s: str :rtype: int",
"name": "countSubstrings0",
"signature": "def countSubstrings0(self, s)"
},
{
"docstring": ":type s: str :rtype: int",
"name": "countSubstrings",
"signature": "def countSubstrings(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017233 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countSubstrings0(self, s): :type s: str :rtype: int
- def countSubstrings(self, s): :type s: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countSubstrings0(self, s): :type s: str :rtype: int
- def countSubstrings(self, s): :type s: str :rtype: int
<|skeleton|>
class Solution:
def countSubstrings0(self, s):... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def countSubstrings0(self, s):
""":type s: str :rtype: int"""
<|body_0|>
def countSubstrings(self, s):
""":type s: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def countSubstrings0(self, s):
""":type s: str :rtype: int"""
n = len(s)
dp = [[0] * n for _ in range(n)]
res = 0
for i in range(n - 1, -1, -1):
for j in range(i, n):
if s[i] == s[j]:
if j - i < 3 or dp[i + 1][j ... | the_stack_v2_python_sparse | 剑指 Offer II 020. 回文子字符串的个数.py | yangyuxiang1996/leetcode | train | 0 | |
44015d47bc2b45a406c79f31f4742a40242d783c | [
"if root is None:\n return ''\nres = []\nq = deque()\nq.append(root)\ncounter = 1\nwhile len(q) > 0 and counter > 0:\n n = q.popleft()\n if n:\n counter -= 1\n res.append(str(n.val))\n if n.left:\n counter += 1\n if n.right:\n counter += 1\n q.append... | <|body_start_0|>
if root is None:
return ''
res = []
q = deque()
q.append(root)
counter = 1
while len(q) > 0 and counter > 0:
n = q.popleft()
if n:
counter -= 1
res.append(str(n.val))
if n... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_000668 | 1,833 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_037790 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string. :type root: TreeNode :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype:... | 87f30b91ff1770871d05b784efacd1656f2246ef | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if root is None:
return ''
res = []
q = deque()
q.append(root)
counter = 1
while len(q) > 0 and counter > 0:
n = q.popleft... | the_stack_v2_python_sparse | leetcode/ser_deser_binary_tree.py | VimanyuAgg/code-morsels | train | 1 | |
0960020f36e83c50446ef6ea1006b6c5531c6f8d | [
"import cppyy\nm1 = cppyy.gbl.MyCopyingClass1()\nm2 = cppyy.gbl.MyCopyingClass1(2, 2)\nself.assertEqual(float(m1), -2.0)\nself.assertEqual(float(m2), 4.0)\nm3 = cppyy.gbl.MyCopyingClass1(m2)\nself.assertEqual(m3.m_d1, m2.m_d1)\nself.assertEqual(m3.m_d2, m2.m_d2)",
"import cppyy\nm1 = cppyy.gbl.MyCopyingClass2()\n... | <|body_start_0|>
import cppyy
m1 = cppyy.gbl.MyCopyingClass1()
m2 = cppyy.gbl.MyCopyingClass1(2, 2)
self.assertEqual(float(m1), -2.0)
self.assertEqual(float(m2), 4.0)
m3 = cppyy.gbl.MyCopyingClass1(m2)
self.assertEqual(m3.m_d1, m2.m_d1)
self.assertEqual(m3... | Cpp14CopyConstructorOrdering | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cpp14CopyConstructorOrdering:
def test1NoUserCCtor(self):
"""Overload with implicit copy ctor"""
<|body_0|>
def test2NoUserCCtor(self):
"""Overload with user provided cctor second"""
<|body_1|>
def test3NoUserCCtor(self):
"""Overload with user pr... | stack_v2_sparse_classes_75kplus_train_000669 | 30,462 | no_license | [
{
"docstring": "Overload with implicit copy ctor",
"name": "test1NoUserCCtor",
"signature": "def test1NoUserCCtor(self)"
},
{
"docstring": "Overload with user provided cctor second",
"name": "test2NoUserCCtor",
"signature": "def test2NoUserCCtor(self)"
},
{
"docstring": "Overload... | 3 | stack_v2_sparse_classes_30k_train_051389 | Implement the Python class `Cpp14CopyConstructorOrdering` described below.
Class description:
Implement the Cpp14CopyConstructorOrdering class.
Method signatures and docstrings:
- def test1NoUserCCtor(self): Overload with implicit copy ctor
- def test2NoUserCCtor(self): Overload with user provided cctor second
- def ... | Implement the Python class `Cpp14CopyConstructorOrdering` described below.
Class description:
Implement the Cpp14CopyConstructorOrdering class.
Method signatures and docstrings:
- def test1NoUserCCtor(self): Overload with implicit copy ctor
- def test2NoUserCCtor(self): Overload with user provided cctor second
- def ... | 134508460915282a5d82d6cbbb6e6afa14653413 | <|skeleton|>
class Cpp14CopyConstructorOrdering:
def test1NoUserCCtor(self):
"""Overload with implicit copy ctor"""
<|body_0|>
def test2NoUserCCtor(self):
"""Overload with user provided cctor second"""
<|body_1|>
def test3NoUserCCtor(self):
"""Overload with user pr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Cpp14CopyConstructorOrdering:
def test1NoUserCCtor(self):
"""Overload with implicit copy ctor"""
import cppyy
m1 = cppyy.gbl.MyCopyingClass1()
m2 = cppyy.gbl.MyCopyingClass1(2, 2)
self.assertEqual(float(m1), -2.0)
self.assertEqual(float(m2), 4.0)
m3 = cp... | the_stack_v2_python_sparse | python/cpp/PyROOT_advancedtests.py | root-project/roottest | train | 41 | |
fecb3e22946d38845977e65758ca3ade8bc44058 | [
"super().__init__()\nself.lca_layer = lca_layer\nself.num_lca_dim = num_lca_dim\nself.num_simulations = num_simulations\nself.num_time_steps = num_time_steps",
"dev = ff_input.device\nactive = torch.ones(size=[int(self.num_simulations), 1], device=dev)\npre_activities = torch.zeros(size=[int(self.num_simulations)... | <|body_start_0|>
super().__init__()
self.lca_layer = lca_layer
self.num_lca_dim = num_lca_dim
self.num_simulations = num_simulations
self.num_time_steps = num_time_steps
<|end_body_0|>
<|body_start_1|>
dev = ff_input.device
active = torch.ones(size=[int(self.num_... | LCAModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LCAModel:
def __init__(self, lca_layer: LCALayer, num_lca_dim: int, num_simulations: int=10000, num_time_steps: int=3000):
"""A model that simulates a leaky competing accumulator model (Usher and McClelland). References: Usher M, McClelland JL. The time course of perceptual choice: the l... | stack_v2_sparse_classes_75kplus_train_000670 | 11,741 | permissive | [
{
"docstring": "A model that simulates a leaky competing accumulator model (Usher and McClelland). References: Usher M, McClelland JL. The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev. 2001 Jul;108(3):550-92. doi: 10.1037/0033-295x.108.3.550. PMID: 11488378. Args: lca_la... | 2 | stack_v2_sparse_classes_30k_train_017256 | Implement the Python class `LCAModel` described below.
Class description:
Implement the LCAModel class.
Method signatures and docstrings:
- def __init__(self, lca_layer: LCALayer, num_lca_dim: int, num_simulations: int=10000, num_time_steps: int=3000): A model that simulates a leaky competing accumulator model (Usher... | Implement the Python class `LCAModel` described below.
Class description:
Implement the LCAModel class.
Method signatures and docstrings:
- def __init__(self, lca_layer: LCALayer, num_lca_dim: int, num_simulations: int=10000, num_time_steps: int=3000): A model that simulates a leaky competing accumulator model (Usher... | 424971b04d55a2cddbae4c05a0aae2d7b3502c20 | <|skeleton|>
class LCAModel:
def __init__(self, lca_layer: LCALayer, num_lca_dim: int, num_simulations: int=10000, num_time_steps: int=3000):
"""A model that simulates a leaky competing accumulator model (Usher and McClelland). References: Usher M, McClelland JL. The time course of perceptual choice: the l... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LCAModel:
def __init__(self, lca_layer: LCALayer, num_lca_dim: int, num_simulations: int=10000, num_time_steps: int=3000):
"""A model that simulates a leaky competing accumulator model (Usher and McClelland). References: Usher M, McClelland JL. The time course of perceptual choice: the leaky, competin... | the_stack_v2_python_sparse | Scripts/Debug/lca/onnx_lca.py | PrincetonUniversity/PsyNeuLink | train | 79 | |
18612ab44d63561b74fdcdc30869f4bfa7887c9d | [
"C = wilson.util.smeftutil.wcxf2arrays_symmetrized(wc_linear.dict)\nc_old = wilson.match._smeft_old.match_all_array(C, p)\nc_new = wilson.match.smeft_tree.match_all_array(C, p)\nfor k in c_old:\n npt.assert_almost_equal(c_old[k], c_new[k], decimal=18, err_msg=f'Failed for {k}')",
"C = wilson.util.smeftutil.wcx... | <|body_start_0|>
C = wilson.util.smeftutil.wcxf2arrays_symmetrized(wc_linear.dict)
c_old = wilson.match._smeft_old.match_all_array(C, p)
c_new = wilson.match.smeft_tree.match_all_array(C, p)
for k in c_old:
npt.assert_almost_equal(c_old[k], c_new[k], decimal=18, err_msg=f'Fai... | TestSMEFTWETreimpl | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSMEFTWETreimpl:
def test_linear(self):
"""For WCs entering linearly, agreement should be numerically exact"""
<|body_0|>
def test_quadratic(self):
"""For WCs entering also quadratically, agreement should be good up to the size of quadratic terms"""
<|body... | stack_v2_sparse_classes_75kplus_train_000671 | 2,023 | permissive | [
{
"docstring": "For WCs entering linearly, agreement should be numerically exact",
"name": "test_linear",
"signature": "def test_linear(self)"
},
{
"docstring": "For WCs entering also quadratically, agreement should be good up to the size of quadratic terms",
"name": "test_quadratic",
"s... | 2 | stack_v2_sparse_classes_30k_train_054189 | Implement the Python class `TestSMEFTWETreimpl` described below.
Class description:
Implement the TestSMEFTWETreimpl class.
Method signatures and docstrings:
- def test_linear(self): For WCs entering linearly, agreement should be numerically exact
- def test_quadratic(self): For WCs entering also quadratically, agree... | Implement the Python class `TestSMEFTWETreimpl` described below.
Class description:
Implement the TestSMEFTWETreimpl class.
Method signatures and docstrings:
- def test_linear(self): For WCs entering linearly, agreement should be numerically exact
- def test_quadratic(self): For WCs entering also quadratically, agree... | ed6f8ccba2bf267094c4c911ea2e050cbd1f0c74 | <|skeleton|>
class TestSMEFTWETreimpl:
def test_linear(self):
"""For WCs entering linearly, agreement should be numerically exact"""
<|body_0|>
def test_quadratic(self):
"""For WCs entering also quadratically, agreement should be good up to the size of quadratic terms"""
<|body... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSMEFTWETreimpl:
def test_linear(self):
"""For WCs entering linearly, agreement should be numerically exact"""
C = wilson.util.smeftutil.wcxf2arrays_symmetrized(wc_linear.dict)
c_old = wilson.match._smeft_old.match_all_array(C, p)
c_new = wilson.match.smeft_tree.match_all_ar... | the_stack_v2_python_sparse | wilson/match/test_smeft_tree_new.py | wilson-eft/wilson | train | 30 | |
81da77d8ade9f28e3235c0fb4f2cf51b5d1c0fde | [
"super().__init__()\nself.document_store: Optional[KeywordDocumentStore] = document_store\nself.top_k = top_k\nself.custom_query = custom_query\nself.all_terms_must_match = all_terms_must_match\nself.scale_score = scale_score",
"document_store = document_store or self.document_store\nif document_store is None:\n ... | <|body_start_0|>
super().__init__()
self.document_store: Optional[KeywordDocumentStore] = document_store
self.top_k = top_k
self.custom_query = custom_query
self.all_terms_must_match = all_terms_must_match
self.scale_score = scale_score
<|end_body_0|>
<|body_start_1|>
... | BM25Retriever | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BM25Retriever:
def __init__(self, document_store: Optional[KeywordDocumentStore]=None, top_k: int=10, all_terms_must_match: bool=False, custom_query: Optional[str]=None, scale_score: bool=True):
""":param document_store: An instance of one of the following DocumentStores to retrieve from... | stack_v2_sparse_classes_75kplus_train_000672 | 35,145 | permissive | [
{
"docstring": ":param document_store: An instance of one of the following DocumentStores to retrieve from: InMemoryDocumentStore, ElasticsearchDocumentStore and OpenSearchDocumentStore. If None, a document store must be passed to the retrieve method for this Retriever to work. :param all_terms_must_match: Whet... | 3 | stack_v2_sparse_classes_30k_val_001236 | Implement the Python class `BM25Retriever` described below.
Class description:
Implement the BM25Retriever class.
Method signatures and docstrings:
- def __init__(self, document_store: Optional[KeywordDocumentStore]=None, top_k: int=10, all_terms_must_match: bool=False, custom_query: Optional[str]=None, scale_score: ... | Implement the Python class `BM25Retriever` described below.
Class description:
Implement the BM25Retriever class.
Method signatures and docstrings:
- def __init__(self, document_store: Optional[KeywordDocumentStore]=None, top_k: int=10, all_terms_must_match: bool=False, custom_query: Optional[str]=None, scale_score: ... | 5f1256ac7e5734c2ea481e72cb7e02c34baf8c43 | <|skeleton|>
class BM25Retriever:
def __init__(self, document_store: Optional[KeywordDocumentStore]=None, top_k: int=10, all_terms_must_match: bool=False, custom_query: Optional[str]=None, scale_score: bool=True):
""":param document_store: An instance of one of the following DocumentStores to retrieve from... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BM25Retriever:
def __init__(self, document_store: Optional[KeywordDocumentStore]=None, top_k: int=10, all_terms_must_match: bool=False, custom_query: Optional[str]=None, scale_score: bool=True):
""":param document_store: An instance of one of the following DocumentStores to retrieve from: InMemoryDocu... | the_stack_v2_python_sparse | haystack/nodes/retriever/sparse.py | deepset-ai/haystack | train | 10,599 | |
9c67911fa9c3539cd5b3f6e552bf5501de96a161 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn WindowsDeviceMalwareState()",
"from .entity import Entity\nfrom .windows_malware_category import WindowsMalwareCategory\nfrom .windows_malware_execution_state import WindowsMalwareExecutionState\nfrom .windows_malware_severity import W... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return WindowsDeviceMalwareState()
<|end_body_0|>
<|body_start_1|>
from .entity import Entity
from .windows_malware_category import WindowsMalwareCategory
from .windows_malware_executio... | Malware detection entity. | WindowsDeviceMalwareState | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WindowsDeviceMalwareState:
"""Malware detection entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsDeviceMalwareState:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use t... | stack_v2_sparse_classes_75kplus_train_000673 | 6,982 | permissive | [
{
"docstring": "Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: WindowsDeviceMalwareState",
"name": "create_from_discriminator_value",
"signature": "def create_from_discrim... | 3 | null | Implement the Python class `WindowsDeviceMalwareState` described below.
Class description:
Malware detection entity.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsDeviceMalwareState: Creates a new instance of the appropriate class based on disc... | Implement the Python class `WindowsDeviceMalwareState` described below.
Class description:
Malware detection entity.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsDeviceMalwareState: Creates a new instance of the appropriate class based on disc... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class WindowsDeviceMalwareState:
"""Malware detection entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsDeviceMalwareState:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WindowsDeviceMalwareState:
"""Malware detection entity."""
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> WindowsDeviceMalwareState:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the di... | the_stack_v2_python_sparse | msgraph/generated/models/windows_device_malware_state.py | microsoftgraph/msgraph-sdk-python | train | 135 |
fed6a92acea62f9d42c2d89245118f36812705d4 | [
"MobileText = self.find_element(*self.MobileTextElement)\nMobileText.send_keys(mobilevalue)\nVerifyCodeText = self.find_element(*self.VerifyCodeTextElement)\nVerifyCodeText.send_keys('111222')\nLoginBtn = self.find_element(*self.LoginBtnElement)\nLoginBtn.click()\nlogger.info('LoginBtn is click!')",
"deskBtn = se... | <|body_start_0|>
MobileText = self.find_element(*self.MobileTextElement)
MobileText.send_keys(mobilevalue)
VerifyCodeText = self.find_element(*self.VerifyCodeTextElement)
VerifyCodeText.send_keys('111222')
LoginBtn = self.find_element(*self.LoginBtnElement)
LoginBtn.click... | notice | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class notice:
def LoginBtnObj(self, mobilevalue):
"""登录测试账号"""
<|body_0|>
def intoObj(self):
"""进入班级通知"""
<|body_1|>
def addObj(self, text):
"""添加班级通知"""
<|body_2|>
def addvideoObj(self):
"""添加视频"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_000674 | 4,142 | no_license | [
{
"docstring": "登录测试账号",
"name": "LoginBtnObj",
"signature": "def LoginBtnObj(self, mobilevalue)"
},
{
"docstring": "进入班级通知",
"name": "intoObj",
"signature": "def intoObj(self)"
},
{
"docstring": "添加班级通知",
"name": "addObj",
"signature": "def addObj(self, text)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_018767 | Implement the Python class `notice` described below.
Class description:
Implement the notice class.
Method signatures and docstrings:
- def LoginBtnObj(self, mobilevalue): 登录测试账号
- def intoObj(self): 进入班级通知
- def addObj(self, text): 添加班级通知
- def addvideoObj(self): 添加视频 | Implement the Python class `notice` described below.
Class description:
Implement the notice class.
Method signatures and docstrings:
- def LoginBtnObj(self, mobilevalue): 登录测试账号
- def intoObj(self): 进入班级通知
- def addObj(self, text): 添加班级通知
- def addvideoObj(self): 添加视频
<|skeleton|>
class notice:
def LoginBtnObj... | c4e11c8aa67306111ca2831a18af4363831af939 | <|skeleton|>
class notice:
def LoginBtnObj(self, mobilevalue):
"""登录测试账号"""
<|body_0|>
def intoObj(self):
"""进入班级通知"""
<|body_1|>
def addObj(self, text):
"""添加班级通知"""
<|body_2|>
def addvideoObj(self):
"""添加视频"""
<|body_3|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class notice:
def LoginBtnObj(self, mobilevalue):
"""登录测试账号"""
MobileText = self.find_element(*self.MobileTextElement)
MobileText.send_keys(mobilevalue)
VerifyCodeText = self.find_element(*self.VerifyCodeTextElement)
VerifyCodeText.send_keys('111222')
LoginBtn = self.... | the_stack_v2_python_sparse | Public/Pages/Notice.py | alexzeger/android_teacher | train | 0 | |
9fbbf612ce4490e22d97d3f35767763cac33a2d5 | [
"super().__init__(path)\nself._rfile = None\ntry:\n self._rfile = open(self._path, 'r')\n self._reader = csv.DictReader(self._rfile, delimiter=CSVWriter.DELIMITER_CHAR, quotechar=CSVWriter.QUOTE_CHAR, restval=CSVWriter.NONE_VALUE)\nexcept (FileNotFoundError, IOError):\n ExecutionLogReader.logger.error('Can... | <|body_start_0|>
super().__init__(path)
self._rfile = None
try:
self._rfile = open(self._path, 'r')
self._reader = csv.DictReader(self._rfile, delimiter=CSVWriter.DELIMITER_CHAR, quotechar=CSVWriter.QUOTE_CHAR, restval=CSVWriter.NONE_VALUE)
except (FileNotFoundErr... | Reader class for the execution logs produced by injection sessions of this tool | ExecutionLogReader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExecutionLogReader:
"""Reader class for the execution logs produced by injection sessions of this tool"""
def __init__(self, path):
"""Constructor for the class :param path: Path of the execution log file"""
<|body_0|>
def read_entry(self):
"""Reads one entry fro... | stack_v2_sparse_classes_75kplus_train_000675 | 6,474 | permissive | [
{
"docstring": "Constructor for the class :param path: Path of the execution log file",
"name": "__init__",
"signature": "def __init__(self, path)"
},
{
"docstring": "Reads one entry from the execution log file :return: A dictionary corresponding to one built by MessageBuilder",
"name": "rea... | 3 | stack_v2_sparse_classes_30k_train_003637 | Implement the Python class `ExecutionLogReader` described below.
Class description:
Reader class for the execution logs produced by injection sessions of this tool
Method signatures and docstrings:
- def __init__(self, path): Constructor for the class :param path: Path of the execution log file
- def read_entry(self)... | Implement the Python class `ExecutionLogReader` described below.
Class description:
Reader class for the execution logs produced by injection sessions of this tool
Method signatures and docstrings:
- def __init__(self, path): Constructor for the class :param path: Path of the execution log file
- def read_entry(self)... | 787b3b060d6a431810c1a29279251cbe9292351b | <|skeleton|>
class ExecutionLogReader:
"""Reader class for the execution logs produced by injection sessions of this tool"""
def __init__(self, path):
"""Constructor for the class :param path: Path of the execution log file"""
<|body_0|>
def read_entry(self):
"""Reads one entry fro... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExecutionLogReader:
"""Reader class for the execution logs produced by injection sessions of this tool"""
def __init__(self, path):
"""Constructor for the class :param path: Path of the execution log file"""
super().__init__(path)
self._rfile = None
try:
self._... | the_stack_v2_python_sparse | fault_injector/io/reader.py | igabriel85/fault_injector | train | 0 |
6eda2f8fd265f2ddc4a318ae10980feba688cc61 | [
"self._toc_node = node\nself._toc_limit = limit\nself._toc_level = level",
"if name.startswith('_toc_'):\n return object.__getattribute__(self, name)\nif name in ['tableofcontents', 'fulltableofcontents']:\n if self._toc_level < self._toc_limit:\n return [type(self)(x._toc_node, self._toc_limit, self... | <|body_start_0|>
self._toc_node = node
self._toc_limit = limit
self._toc_level = level
<|end_body_0|>
<|body_start_1|>
if name.startswith('_toc_'):
return object.__getattribute__(self, name)
if name in ['tableofcontents', 'fulltableofcontents']:
if self._... | Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more table of contents entries are returned. | TableOfContents | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more tab... | stack_v2_sparse_classes_75kplus_train_000676 | 10,872 | permissive | [
{
"docstring": "Instantiate a table of contents object Arguments: node -- the node to retrieve the table of contents from limit -- the number of levels to display level -- the current level",
"name": "__init__",
"signature": "def __init__(self, node, limit, level=1)"
},
{
"docstring": "Proxy all... | 2 | stack_v2_sparse_classes_30k_train_014085 | Implement the Python class `TableOfContents` described below.
Class description:
Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the de... | Implement the Python class `TableOfContents` described below.
Class description:
Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the de... | a882a62b81e6ae7b8c9454ae2b222ef5c2c14bb1 | <|skeleton|>
class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more tab... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TableOfContents:
"""Table of Contents object The table of contents object is a proxy object that limits the depth of a table of contents entry. Each time the `tableofcontents' attribute is accessed on the given node, the depth level is increased. Once the depth limit has been reached, no more table of content... | the_stack_v2_python_sparse | plasTeX/Base/LaTeX/Sectioning.py | plastex/plastex | train | 129 |
e79d104ebc2456ebc8816db0762f2e2dc74a2df8 | [
"super().__init__()\nself.mlp = mlp\nself.use_softmax = use_softmax",
"B, C, N = feature.size()\nfeature = feature.view(B, C, N, 1).repeat(1, 1, 1, N)\nif feature.device.type == 'cpu':\n feature = feature - feature.transpose(2, 3).contiguous() + torch.mul(feature, torch.eye(N).view(1, 1, N, N))\nelse:\n fea... | <|body_start_0|>
super().__init__()
self.mlp = mlp
self.use_softmax = use_softmax
<|end_body_0|>
<|body_start_1|>
B, C, N = feature.size()
feature = feature.view(B, C, N, 1).repeat(1, 1, 1, N)
if feature.device.type == 'cpu':
feature = feature - feature.trans... | AFAModule | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AFAModule:
def __init__(self, mlp, use_softmax=False):
""":param mlp: mlp for learning weight mode: transformation or aggregation"""
<|body_0|>
def forward(self, feature: torch.Tensor) -> torch.Tensor:
"""Parameters ---------- features : torch.Tensor (B, C, N, M) or ... | stack_v2_sparse_classes_75kplus_train_000677 | 12,242 | permissive | [
{
"docstring": ":param mlp: mlp for learning weight mode: transformation or aggregation",
"name": "__init__",
"signature": "def __init__(self, mlp, use_softmax=False)"
},
{
"docstring": "Parameters ---------- features : torch.Tensor (B, C, N, M) or (B, C, N) Returns ------- new_features : torch.... | 2 | stack_v2_sparse_classes_30k_train_036309 | Implement the Python class `AFAModule` described below.
Class description:
Implement the AFAModule class.
Method signatures and docstrings:
- def __init__(self, mlp, use_softmax=False): :param mlp: mlp for learning weight mode: transformation or aggregation
- def forward(self, feature: torch.Tensor) -> torch.Tensor: ... | Implement the Python class `AFAModule` described below.
Class description:
Implement the AFAModule class.
Method signatures and docstrings:
- def __init__(self, mlp, use_softmax=False): :param mlp: mlp for learning weight mode: transformation or aggregation
- def forward(self, feature: torch.Tensor) -> torch.Tensor: ... | 241b3c94112efb2944a27e4cc3eb1d65775edc10 | <|skeleton|>
class AFAModule:
def __init__(self, mlp, use_softmax=False):
""":param mlp: mlp for learning weight mode: transformation or aggregation"""
<|body_0|>
def forward(self, feature: torch.Tensor) -> torch.Tensor:
"""Parameters ---------- features : torch.Tensor (B, C, N, M) or ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AFAModule:
def __init__(self, mlp, use_softmax=False):
""":param mlp: mlp for learning weight mode: transformation or aggregation"""
super().__init__()
self.mlp = mlp
self.use_softmax = use_softmax
def forward(self, feature: torch.Tensor) -> torch.Tensor:
"""Parame... | the_stack_v2_python_sparse | crowd_nav/policy/gipcarl.py | sustech-isus/AEMCARL | train | 0 | |
4a4094db031c41de0f9e45e379e9fc963b4efd7c | [
"self.class_col_name = class_col_name\nself.n = DF.shape[0]\nif priors:\n self.priors = priors\nelse:\n self.priors = Probs(DF[class_col_name])\nself.classes = DF[class_col_name].unique().tolist()\nself.CondProbs = self.TrainNB(DF, class_col_name, progress_bar)",
"g = DF.groupby(by=class_col_name)\nif progr... | <|body_start_0|>
self.class_col_name = class_col_name
self.n = DF.shape[0]
if priors:
self.priors = priors
else:
self.priors = Probs(DF[class_col_name])
self.classes = DF[class_col_name].unique().tolist()
self.CondProbs = self.TrainNB(DF, class_col... | NaiveBayes | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NaiveBayes:
def __init__(self, DF, class_col_name, priors=None, progress_bar=False):
"""Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors: dictionary of prior probabilities for each class Will not store dataframe as part of results Calcu... | stack_v2_sparse_classes_75kplus_train_000678 | 3,848 | no_license | [
{
"docstring": "Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors: dictionary of prior probabilities for each class Will not store dataframe as part of results Calculates: P(Class | data) \\\\propto P(Class)*P(data | Class) This model ignores the denominator; D... | 3 | null | Implement the Python class `NaiveBayes` described below.
Class description:
Implement the NaiveBayes class.
Method signatures and docstrings:
- def __init__(self, DF, class_col_name, priors=None, progress_bar=False): Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors:... | Implement the Python class `NaiveBayes` described below.
Class description:
Implement the NaiveBayes class.
Method signatures and docstrings:
- def __init__(self, DF, class_col_name, priors=None, progress_bar=False): Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors:... | e80167c76067ee2391c23dcbd7e7c98657194961 | <|skeleton|>
class NaiveBayes:
def __init__(self, DF, class_col_name, priors=None, progress_bar=False):
"""Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors: dictionary of prior probabilities for each class Will not store dataframe as part of results Calcu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NaiveBayes:
def __init__(self, DF, class_col_name, priors=None, progress_bar=False):
"""Naive Bayes Classifier DF: Pandas DataFrame class_col_name: column name with outcome variable priors: dictionary of prior probabilities for each class Will not store dataframe as part of results Calculates: P(Class... | the_stack_v2_python_sparse | NaiveBayesNets/NaiveBayes/NaiveBayes.py | Johnnyboycurtis/BayesNets | train | 0 | |
47479630cf15d8935a6580466ee786dd85538c06 | [
"total = sum(nums)\nif total & 1:\n return False\ntarget = total // 2\ndp = [False] * (target + 1)\ndp[0] = True\nfor num in nums:\n for i in range(target, num - 1, -1):\n dp[i] = dp[i] or dp[i - num]\nreturn dp[target]",
"if len(nums) < 2:\n return False\nnums.sort()\nfor i in range(1, len(nums))... | <|body_start_0|>
total = sum(nums)
if total & 1:
return False
target = total // 2
dp = [False] * (target + 1)
dp[0] = True
for num in nums:
for i in range(target, num - 1, -1):
dp[i] = dp[i] or dp[i - num]
return dp[target]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def canPartition(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def canPartition3(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
total = sum(nums)
if total & 1:
... | stack_v2_sparse_classes_75kplus_train_000679 | 2,087 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "canPartition",
"signature": "def canPartition(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: bool",
"name": "canPartition3",
"signature": "def canPartition3(self, nums)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canPartition(self, nums): :type nums: List[int] :rtype: bool
- def canPartition3(self, nums): :type nums: List[int] :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def canPartition(self, nums): :type nums: List[int] :rtype: bool
- def canPartition3(self, nums): :type nums: List[int] :rtype: bool
<|skeleton|>
class Solution:
def canPar... | 635af6e22aa8eef8e7920a585d43a45a891a8157 | <|skeleton|>
class Solution:
def canPartition(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_0|>
def canPartition3(self, nums):
""":type nums: List[int] :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def canPartition(self, nums):
""":type nums: List[int] :rtype: bool"""
total = sum(nums)
if total & 1:
return False
target = total // 2
dp = [False] * (target + 1)
dp[0] = True
for num in nums:
for i in range(target, num... | the_stack_v2_python_sparse | code416PartitionEqualSubsetSum.py | cybelewang/leetcode-python | train | 0 | |
6384efa65349068d425ebe8be4a5ed4fe484f8db | [
"seen, res = (set(''), '')\nbuckets = defaultdict(list)\nmin_len, max_len = (float('inf'), float('-inf'))\nfor idx, w in enumerate(words):\n buckets[len(w)].append(idx)\n min_len, max_len = (min(min_len, len(w)), max(max_len, len(w)))\nfor l in range(min_len, max_len + 1):\n for idx in buckets[l]:\n ... | <|body_start_0|>
seen, res = (set(''), '')
buckets = defaultdict(list)
min_len, max_len = (float('inf'), float('-inf'))
for idx, w in enumerate(words):
buckets[len(w)].append(idx)
min_len, max_len = (min(min_len, len(w)), max(max_len, len(w)))
for l in ran... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestWord1(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord2(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
seen, res = (set(''), '')
bucke... | stack_v2_sparse_classes_75kplus_train_000680 | 2,161 | no_license | [
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord1",
"signature": "def longestWord1(self, words)"
},
{
"docstring": ":type words: List[str] :rtype: str",
"name": "longestWord2",
"signature": "def longestWord2(self, words)"
}
] | 2 | stack_v2_sparse_classes_30k_train_027691 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord1(self, words): :type words: List[str] :rtype: str
- def longestWord2(self, words): :type words: List[str] :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestWord1(self, words): :type words: List[str] :rtype: str
- def longestWord2(self, words): :type words: List[str] :rtype: str
<|skeleton|>
class Solution:
def longe... | c92a5ddcc56e3f69be1e6fb25e9c8ed277e57ee0 | <|skeleton|>
class Solution:
def longestWord1(self, words):
""":type words: List[str] :rtype: str"""
<|body_0|>
def longestWord2(self, words):
""":type words: List[str] :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestWord1(self, words):
""":type words: List[str] :rtype: str"""
seen, res = (set(''), '')
buckets = defaultdict(list)
min_len, max_len = (float('inf'), float('-inf'))
for idx, w in enumerate(words):
buckets[len(w)].append(idx)
m... | the_stack_v2_python_sparse | Classify/HashTable/720#Longest Word in Dictionary.py | EachenKuang/LeetCode | train | 28 | |
7cd9fe6e61e7674f469d504a4c004f008e6c97b3 | [
"self.model = model\nself.data = data\nself.checkpoint_dir = checkpoint_dir\nself._iterations = variables.Variable(name='iterations', initial_value=_ITERATIONS_UNINITIALIZED, dtype=dtypes.int64)\nself.max_evaluations = max_evaluations\nself.steps = steps\nself.callbacks = callbacks or []",
"optimizer_checkpoint =... | <|body_start_0|>
self.model = model
self.data = data
self.checkpoint_dir = checkpoint_dir
self._iterations = variables.Variable(name='iterations', initial_value=_ITERATIONS_UNINITIALIZED, dtype=dtypes.int64)
self.max_evaluations = max_evaluations
self.steps = steps
... | A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results of a training cluster which has one or more workers performing the training, and sav... | SidecarEvaluator | [
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SidecarEvaluator:
"""A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results of a training cluster which has one or m... | stack_v2_sparse_classes_75kplus_train_000681 | 11,398 | permissive | [
{
"docstring": "Initializes an `SidecarEvaluator` object. Args: model: Model to use for evaluation. The model object used here should be a `tf.keras.Model`, and should be the same as the one that is used in training, where `tf.keras.Model`s are checkpointed. The model should have one or more metrics compiled be... | 2 | stack_v2_sparse_classes_30k_train_039710 | Implement the Python class `SidecarEvaluator` described below.
Class description:
A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results o... | Implement the Python class `SidecarEvaluator` described below.
Class description:
A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results o... | 085b20a4b6287eff8c0b792425d52422ab8cbab3 | <|skeleton|>
class SidecarEvaluator:
"""A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results of a training cluster which has one or m... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SidecarEvaluator:
"""A class designed for a dedicated evaluator task. `SidecarEvaluator` is expected to be run in a process on a separate machine from the training cluster. It is meant for the purpose of a dedicated evaluator, evaluating the metric results of a training cluster which has one or more workers p... | the_stack_v2_python_sparse | tensorflow/python/keras/distribute/sidecar_evaluator.py | graphcore/tensorflow | train | 84 |
3c018ee6207d3fe0c0bcf8953b411a0f873903f2 | [
"if logger is None:\n raise ValueError(f'Parameter logger is null is not allowed')\nif not issubclass(logger.__class__, (Logger,)):\n raise ValueError(f'Logger instance is not subclass of LoggerService')\nself.__logger = logger",
"if not isclass(_class):\n raise Exception(f'The parameter cls is not a cla... | <|body_start_0|>
if logger is None:
raise ValueError(f'Parameter logger is null is not allowed')
if not issubclass(logger.__class__, (Logger,)):
raise ValueError(f'Logger instance is not subclass of LoggerService')
self.__logger = logger
<|end_body_0|>
<|body_start_1|>
... | Logger Decorator | LoggerDecorator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoggerDecorator:
"""Logger Decorator"""
def __init__(self, logger=None):
"""Logger class decorator @param logger: File path to log"""
<|body_0|>
def __call__(self, _class):
"""Set log variable of log to class @param _class: Class to patch @return: Class modified"... | stack_v2_sparse_classes_75kplus_train_000682 | 925 | permissive | [
{
"docstring": "Logger class decorator @param logger: File path to log",
"name": "__init__",
"signature": "def __init__(self, logger=None)"
},
{
"docstring": "Set log variable of log to class @param _class: Class to patch @return: Class modified",
"name": "__call__",
"signature": "def __... | 2 | null | Implement the Python class `LoggerDecorator` described below.
Class description:
Logger Decorator
Method signatures and docstrings:
- def __init__(self, logger=None): Logger class decorator @param logger: File path to log
- def __call__(self, _class): Set log variable of log to class @param _class: Class to patch @re... | Implement the Python class `LoggerDecorator` described below.
Class description:
Logger Decorator
Method signatures and docstrings:
- def __init__(self, logger=None): Logger class decorator @param logger: File path to log
- def __call__(self, _class): Set log variable of log to class @param _class: Class to patch @re... | 8055927cb460bc40f3a2651c01a9d1da696177e8 | <|skeleton|>
class LoggerDecorator:
"""Logger Decorator"""
def __init__(self, logger=None):
"""Logger class decorator @param logger: File path to log"""
<|body_0|>
def __call__(self, _class):
"""Set log variable of log to class @param _class: Class to patch @return: Class modified"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoggerDecorator:
"""Logger Decorator"""
def __init__(self, logger=None):
"""Logger class decorator @param logger: File path to log"""
if logger is None:
raise ValueError(f'Parameter logger is null is not allowed')
if not issubclass(logger.__class__, (Logger,)):
... | the_stack_v2_python_sparse | modules/shared/infrastructure/log/logger_decorator.py | eduardolujan/hexagonal_architecture_django | train | 5 |
0bde403886fe87d41f1c501124613d1e72d8ba2a | [
"new = six.text_type.__new__(cls, sequence)\nnew._normal = normal\nreturn new",
"for idx, ucs_part in enumerate(args):\n if not isinstance(ucs_part, six.string_types):\n expected_types = ', '.join((_type.__name__ for _type in six.string_types))\n raise TypeError('TypeError for FormattingString ar... | <|body_start_0|>
new = six.text_type.__new__(cls, sequence)
new._normal = normal
return new
<|end_body_0|>
<|body_start_1|>
for idx, ucs_part in enumerate(args):
if not isinstance(ucs_part, six.string_types):
expected_types = ', '.join((_type.__name__ for _ty... | A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wraps the given (string) argument with the 2nd argument used by the class constructor::... | FormattingString | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormattingString:
"""A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wraps the given (string) argument with the ... | stack_v2_sparse_classes_75kplus_train_000683 | 19,386 | permissive | [
{
"docstring": "Class constructor accepting 2 positional arguments. :arg str sequence: terminal attribute sequence. :arg str normal: terminating sequence for this attribute (optional).",
"name": "__new__",
"signature": "def __new__(cls, sequence, normal=u'')"
},
{
"docstring": "Return ``text`` j... | 2 | stack_v2_sparse_classes_30k_train_028921 | Implement the Python class `FormattingString` described below.
Class description:
A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wrap... | Implement the Python class `FormattingString` described below.
Class description:
A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wrap... | a34c6b1869b4dd467c6d1ab6895872bb72db7e0f | <|skeleton|>
class FormattingString:
"""A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wraps the given (string) argument with the ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FormattingString:
"""A Unicode string which doubles as a callable. This is used for terminal attributes, so that it may be used both directly, or as a callable. When used directly, it simply emits the given terminal sequence. When used as a callable, it wraps the given (string) argument with the 2nd argument ... | the_stack_v2_python_sparse | blessed/formatters.py | jquast/blessed | train | 992 |
2880870d90206fc42d66a1c6d08a2bc79065284a | [
"if aedtname:\n return cls.defaultunit[cls.aedtname.index(aedtname)]\nelse:\n raise TypeError('get_defaultunit: Either the full name or category name must be defined.')",
"if aedtname:\n return cls.defaultvalue[cls.aedtname.index(aedtname)]\nelse:\n raise TypeError('get_defaultunit: Either the full na... | <|body_start_0|>
if aedtname:
return cls.defaultunit[cls.aedtname.index(aedtname)]
else:
raise TypeError('get_defaultunit: Either the full name or category name must be defined.')
<|end_body_0|>
<|body_start_1|>
if aedtname:
return cls.defaultvalue[cls.aedtna... | Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax. | MatProperties | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MatProperties:
"""Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax."""
def get_defaultunit(cls, aedtname=None):
"""Retrieve the default unit for a full name or a... | stack_v2_sparse_classes_75kplus_train_000684 | 43,764 | permissive | [
{
"docstring": "Retrieve the default unit for a full name or a category name. Parameters ---------- aedtname : str, optional AEDT full name or category name. The default is ``None``. Returns ------- str Default unit if it exists.",
"name": "get_defaultunit",
"signature": "def get_defaultunit(cls, aedtna... | 2 | null | Implement the Python class `MatProperties` described below.
Class description:
Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax.
Method signatures and docstrings:
- def get_defaultunit(cls, aedtn... | Implement the Python class `MatProperties` described below.
Class description:
Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax.
Method signatures and docstrings:
- def get_defaultunit(cls, aedtn... | 2688d6f1b87c64aab539b6d68444bc49ca240405 | <|skeleton|>
class MatProperties:
"""Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax."""
def get_defaultunit(cls, aedtname=None):
"""Retrieve the default unit for a full name or a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MatProperties:
"""Contains a list of constant names for all materials with mappings to their internal XML names. Internal names are used in scripts, and XML names are used in the XML syntax."""
def get_defaultunit(cls, aedtname=None):
"""Retrieve the default unit for a full name or a category nam... | the_stack_v2_python_sparse | pyaedt/modules/Material.py | boyang2022/pyaedt | train | 0 |
df4eef1b486fecf019eaeb25167bb3b64927ed59 | [
"import math\ndp = [0]\nidx = 1\nwhile idx <= n:\n cnt = float('inf')\n for s in range(int(math.sqrt(idx)), 0, -1):\n cnt = min(cnt, dp[idx - s ** 2] + 1)\n dp.append(cnt)\n idx += 1\nreturn dp[n]",
"import math\ndp = dict()\n\ndef dfs(idx, n):\n if n <= 0:\n return 0\n if dp.get((... | <|body_start_0|>
import math
dp = [0]
idx = 1
while idx <= n:
cnt = float('inf')
for s in range(int(math.sqrt(idx)), 0, -1):
cnt = min(cnt, dp[idx - s ** 2] + 1)
dp.append(cnt)
idx += 1
return dp[n]
<|end_body_0|>
<... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSquares(self, n):
""":type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3"""
<|body_0|>
def rewrite(self, n):
""":type n: int :rtype: int dfs, 類似494 needs memoir!"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
impor... | stack_v2_sparse_classes_75kplus_train_000685 | 1,665 | no_license | [
{
"docstring": ":type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3",
"name": "numSquares",
"signature": "def numSquares(self, n)"
},
{
"docstring": ":type n: int :rtype: int dfs, 類似494 needs memoir!",
"name": "rewrite",
"signature": "def rewrite(self, n)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares(self, n): :type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3
- def rewrite(self, n): :type n: int :rtype: int dfs, 類似494 needs memoir! | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSquares(self, n): :type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3
- def rewrite(self, n): :type n: int :rtype: int dfs, 類似494 needs memoir!
<|skeleto... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def numSquares(self, n):
""":type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3"""
<|body_0|>
def rewrite(self, n):
""":type n: int :rtype: int dfs, 類似494 needs memoir!"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numSquares(self, n):
""":type n: int :rtype: int DP, top down from bottom up! e.g 14 sqt = 3"""
import math
dp = [0]
idx = 1
while idx <= n:
cnt = float('inf')
for s in range(int(math.sqrt(idx)), 0, -1):
cnt = min(cn... | the_stack_v2_python_sparse | co_uber/279_Perfect_Squares.py | vsdrun/lc_public | train | 6 | |
95f9b969aee21bb81b0eaf331167cfe9bbd34143 | [
"for stack in self.stacks:\n if stack.stack_id == stack_id:\n return stack",
"def should_show_stack(stack):\n \"\"\"\n Determines if a stack should be shown for the list response.\n \"\"\"\n if stack.is_deleted() and (not show_deleted):\n return False\n for tag in t... | <|body_start_0|>
for stack in self.stacks:
if stack.stack_id == stack_id:
return stack
<|end_body_0|>
<|body_start_1|>
def should_show_stack(stack):
"""
Determines if a stack should be shown for the list response.
"""
... | A collection of :obj:`Stack` objects for a region. | RegionalStackCollection | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegionalStackCollection:
"""A collection of :obj:`Stack` objects for a region."""
def stack_by_id(self, stack_id):
"""Retrieves a stack by its ID"""
<|body_0|>
def request_list(self, absolutize_url, show_deleted=False, tags=[]):
"""Tries a stack list operation.""... | stack_v2_sparse_classes_75kplus_train_000686 | 9,838 | permissive | [
{
"docstring": "Retrieves a stack by its ID",
"name": "stack_by_id",
"signature": "def stack_by_id(self, stack_id)"
},
{
"docstring": "Tries a stack list operation.",
"name": "request_list",
"signature": "def request_list(self, absolutize_url, show_deleted=False, tags=[])"
},
{
"... | 6 | stack_v2_sparse_classes_30k_train_005339 | Implement the Python class `RegionalStackCollection` described below.
Class description:
A collection of :obj:`Stack` objects for a region.
Method signatures and docstrings:
- def stack_by_id(self, stack_id): Retrieves a stack by its ID
- def request_list(self, absolutize_url, show_deleted=False, tags=[]): Tries a st... | Implement the Python class `RegionalStackCollection` described below.
Class description:
A collection of :obj:`Stack` objects for a region.
Method signatures and docstrings:
- def stack_by_id(self, stack_id): Retrieves a stack by its ID
- def request_list(self, absolutize_url, show_deleted=False, tags=[]): Tries a st... | 8e7eeed84ec5ae97863f9330023298845623c639 | <|skeleton|>
class RegionalStackCollection:
"""A collection of :obj:`Stack` objects for a region."""
def stack_by_id(self, stack_id):
"""Retrieves a stack by its ID"""
<|body_0|>
def request_list(self, absolutize_url, show_deleted=False, tags=[]):
"""Tries a stack list operation.""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RegionalStackCollection:
"""A collection of :obj:`Stack` objects for a region."""
def stack_by_id(self, stack_id):
"""Retrieves a stack by its ID"""
for stack in self.stacks:
if stack.stack_id == stack_id:
return stack
def request_list(self, absolutize_url... | the_stack_v2_python_sparse | mimic/model/heat_objects.py | ranjithpeddi/mimic | train | 1 |
1ef19f08c39eee3168114d27cc1c28a284755a56 | [
"self.archive_extractor = archive_extractor\nself.resolver = resolver\nself.cwd = cwd",
"path = self.resolver.resolve()\nassert os.path.isfile(path)\nextract_hash = hashlib.sha1(path.encode('utf-8')).hexdigest()[:6]\nextract_folder = 'extract-' + extract_hash\nextract_path = os.path.join(self.cwd, extract_folder)... | <|body_start_0|>
self.archive_extractor = archive_extractor
self.resolver = resolver
self.cwd = cwd
<|end_body_0|>
<|body_start_1|>
path = self.resolver.resolve()
assert os.path.isfile(path)
extract_hash = hashlib.sha1(path.encode('utf-8')).hexdigest()[:6]
extrac... | Extracts an archive | ArchiveResolver | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArchiveResolver:
"""Extracts an archive"""
def __init__(self, archive_extractor, resolver, cwd):
"""Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent resolver responsible for downloading the archive. :param... | stack_v2_sparse_classes_75kplus_train_000687 | 1,288 | permissive | [
{
"docstring": "Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent resolver responsible for downloading the archive. :param cwd: Current working directory as a string. This is the place where we should create new folders etc.",
"na... | 2 | stack_v2_sparse_classes_30k_train_005654 | Implement the Python class `ArchiveResolver` described below.
Class description:
Extracts an archive
Method signatures and docstrings:
- def __init__(self, archive_extractor, resolver, cwd): Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent... | Implement the Python class `ArchiveResolver` described below.
Class description:
Extracts an archive
Method signatures and docstrings:
- def __init__(self, archive_extractor, resolver, cwd): Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent... | ba94d46ce58ac7e936fc45acaca1168ae0d7780b | <|skeleton|>
class ArchiveResolver:
"""Extracts an archive"""
def __init__(self, archive_extractor, resolver, cwd):
"""Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent resolver responsible for downloading the archive. :param... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArchiveResolver:
"""Extracts an archive"""
def __init__(self, archive_extractor, resolver, cwd):
"""Construct a new instance. :param archive_extractor: An archive (zip, tar, etc.) extractor function. :param resolver: The parent resolver responsible for downloading the archive. :param cwd: Current... | the_stack_v2_python_sparse | src/wurf/archive_resolver.py | steinwurf/waf | train | 15 |
14d2f3f48390265613f871cc9b5fb5e38a3259c5 | [
"self.setup_logger()\nself.required_columns = ['a', 'b', 'm', 'n', 'r', 'rpha', 'Zt']\nself.data = self.check_dataframe(data)\nself.electrode_positions = electrode_positions\nself.topography = topography",
"if dataframe is None:\n return None\nif not isinstance(dataframe, pd.DataFrame):\n raise Exception('T... | <|body_start_0|>
self.setup_logger()
self.required_columns = ['a', 'b', 'm', 'n', 'r', 'rpha', 'Zt']
self.data = self.check_dataframe(data)
self.electrode_positions = electrode_positions
self.topography = topography
<|end_body_0|>
<|body_start_1|>
if dataframe is None:
... | . | CR | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CR:
"""."""
def __init__(self, data=None, electrode_positions=None, topography=None):
"""Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previously prepared elsewhere. Please refer to the documentatio... | stack_v2_sparse_classes_75kplus_train_000688 | 5,486 | permissive | [
{
"docstring": "Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previously prepared elsewhere. Please refer to the documentation for required columns. electrode_positions : :py:class:`pandas.DataFrame` If set, this is expected t... | 3 | null | Implement the Python class `CR` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self, data=None, electrode_positions=None, topography=None): Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previo... | Implement the Python class `CR` described below.
Class description:
.
Method signatures and docstrings:
- def __init__(self, data=None, electrode_positions=None, topography=None): Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previo... | adecc344837c0bf53c5e005a97c2c231b6f9eac2 | <|skeleton|>
class CR:
"""."""
def __init__(self, data=None, electrode_positions=None, topography=None):
"""Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previously prepared elsewhere. Please refer to the documentatio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CR:
"""."""
def __init__(self, data=None, electrode_positions=None, topography=None):
"""Parameters ---------- data : :py:class:`pandas.DataFrame` If not None, then the provided DataFrame is assumed to contain valid data previously prepared elsewhere. Please refer to the documentation for require... | the_stack_v2_python_sparse | lib/reda/containers/CR.py | geophysics-ubonn/reda | train | 14 |
d9624171e5e21d14b41f4a7a85193907d649f149 | [
"if not root:\n return []\nstack = []\nres = []\nwhile root or stack:\n if root:\n stack.append(root)\n root = root.left\n else:\n root = stack.pop()\n res.append(root.val)\n root = root.right\nreturn res",
"if not root:\n return []\nstack = [root]\nres = []\nwhile s... | <|body_start_0|>
if not root:
return []
stack = []
res = []
while root or stack:
if root:
stack.append(root)
root = root.left
else:
root = stack.pop()
res.append(root.val)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def in_order_traversal(self, root):
""":param root: TreeNode :return:"""
<|body_0|>
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def preorderTraversal2(self, root):
""":type root: TreeNode :... | stack_v2_sparse_classes_75kplus_train_000689 | 1,394 | no_license | [
{
"docstring": ":param root: TreeNode :return:",
"name": "in_order_traversal",
"signature": "def in_order_traversal(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: List[int]",
"name": "preorderTraversal",
"signature": "def preorderTraversal(self, root)"
},
{
"docstri... | 3 | stack_v2_sparse_classes_30k_train_026568 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def in_order_traversal(self, root): :param root: TreeNode :return:
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal2(self, root... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def in_order_traversal(self, root): :param root: TreeNode :return:
- def preorderTraversal(self, root): :type root: TreeNode :rtype: List[int]
- def preorderTraversal2(self, root... | 11d6bf2ba7b50c07e048df37c4e05c8f46b92241 | <|skeleton|>
class Solution:
def in_order_traversal(self, root):
""":param root: TreeNode :return:"""
<|body_0|>
def preorderTraversal(self, root):
""":type root: TreeNode :rtype: List[int]"""
<|body_1|>
def preorderTraversal2(self, root):
""":type root: TreeNode :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def in_order_traversal(self, root):
""":param root: TreeNode :return:"""
if not root:
return []
stack = []
res = []
while root or stack:
if root:
stack.append(root)
root = root.left
else:
... | the_stack_v2_python_sparse | LeetCodes/Trees/TreeTraversal.py | chutianwen/LeetCodes | train | 0 | |
cc34c81e7d6790392b7ada67954ba0ab86307af1 | [
"dp = [0, 1, 2, 3]\nif n < 2:\n return -1\nelif n == 2:\n return 1\nelif n == 3:\n return 2\nfor i in range(4, n + 1):\n temp = 0\n for j in range(1, i // 2 + 1):\n temp = max(temp, dp[j] * dp[i - j])\n dp.append(temp)\nreturn dp[n]",
"if n < 2:\n return -1\nelif n == 2:\n return 1\... | <|body_start_0|>
dp = [0, 1, 2, 3]
if n < 2:
return -1
elif n == 2:
return 1
elif n == 3:
return 2
for i in range(4, n + 1):
temp = 0
for j in range(1, i // 2 + 1):
temp = max(temp, dp[j] * dp[i - j])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def integerBreak(self, n: int) -> int:
"""dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]"""
<|body_0|>
def integerBreak(self, n: int) -> int:
"""贪心： 多分3 尾为1分2，2"""
<|... | stack_v2_sparse_classes_75kplus_train_000690 | 1,039 | no_license | [
{
"docstring": "dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]",
"name": "integerBreak",
"signature": "def integerBreak(self, n: int) -> int"
},
{
"docstring": "贪心： 多分3 尾为1分2，2",
"name": "integerBreak",
"s... | 2 | stack_v2_sparse_classes_30k_train_004065 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def integerBreak(self, n: int) -> int: dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]
- def int... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def integerBreak(self, n: int) -> int: dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]
- def int... | 57f303aa6e76f7c5292fa60bffdfddcb4ff9ddfb | <|skeleton|>
class Solution:
def integerBreak(self, n: int) -> int:
"""dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]"""
<|body_0|>
def integerBreak(self, n: int) -> int:
"""贪心： 多分3 尾为1分2，2"""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def integerBreak(self, n: int) -> int:
"""dp[i] 代表整数i的最大积拆分 dp[i] = max(dp[i-j] * dp[j]) j=1_最短回文串.py,...,i-1_最短回文串.py. dp[0-3] = 0, 1_最短回文串.py, 2, 3 res = dp[-1_最短回文串.py]"""
dp = [0, 1, 2, 3]
if n < 2:
return -1
elif n == 2:
return 1
e... | the_stack_v2_python_sparse | 4_LEETCODE/9_Greedy/343_整数拆分.py | fzingithub/SwordRefers2Offer | train | 1 | |
6eeb2d6be78771a9465d6d2e7b9be50ccaa4674f | [
"self.num_vulnerabilities = num_vulnerabilities\nself.num_intensity_bins = num_intensity_bins\nself.num_damage_bins = num_damage_bins\nself.vulnerability_sparseness = vulnerability_sparseness\nself.dtypes = OrderedDict([('vulnerability_id', 'i'), ('intensity_bin_index', 'i'), ('damage_bin_index', 'i'), ('prob', 'f'... | <|body_start_0|>
self.num_vulnerabilities = num_vulnerabilities
self.num_intensity_bins = num_intensity_bins
self.num_damage_bins = num_damage_bins
self.vulnerability_sparseness = vulnerability_sparseness
self.dtypes = OrderedDict([('vulnerability_id', 'i'), ('intensity_bin_index... | Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file data. | VulnerabilityFile | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VulnerabilityFile:
"""Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file data."""
def __init__(self, num_vuln... | stack_v2_sparse_classes_75kplus_train_000691 | 39,722 | permissive | [
{
"docstring": "Initialise VulnerabilityFile class. Args: num_vulnerabilities (int): number of vulnerabilities. num_intensity_bins (int): number of intensity bins. num_damage_bins(int): number of damage bins. vulnerability_sparseness (float): percentage of bins normalised to range [0,1] impacted for a vulnerabi... | 2 | stack_v2_sparse_classes_30k_train_018610 | Implement the Python class `VulnerabilityFile` described below.
Class description:
Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file da... | Implement the Python class `VulnerabilityFile` described below.
Class description:
Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file da... | 23e704c335629ccd010969b1090446cfa3f384d5 | <|skeleton|>
class VulnerabilityFile:
"""Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file data."""
def __init__(self, num_vuln... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VulnerabilityFile:
"""Generate random data for Vulnerability dummy model file. This file shows the conditional distributions of damage for each intensity bin and for each vulnerability ID. Attributes: generate_data: Generate Vulnerability dummy model file data."""
def __init__(self, num_vulnerabilities, ... | the_stack_v2_python_sparse | oasislmf/computation/data/dummy_model/generate.py | OasisLMF/OasisLMF | train | 122 |
d62e6921d6c0e56da73642f5cfc310037dda6038 | [
"with open('zk.yml') as f:\n zk_yml = list(safe_load_all(f))\n self.zk_service = zk_yml[0]\n self.zk_configmap = zk_yml[1]\n self.zk_pdb = zk_yml[2]\n self.zk = zk_yml[3]\nself.__namespace = namespace\nself.__v1_api = client.CoreV1Api()\nself.__v1_policy_api = client.PolicyV1beta1Api()\nself.__v1_app... | <|body_start_0|>
with open('zk.yml') as f:
zk_yml = list(safe_load_all(f))
self.zk_service = zk_yml[0]
self.zk_configmap = zk_yml[1]
self.zk_pdb = zk_yml[2]
self.zk = zk_yml[3]
self.__namespace = namespace
self.__v1_api = client.CoreV1A... | Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to access Zookeeper zk_configmap - JSON representation of the configmap used to provid... | ZookeeperManager | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZookeeperManager:
"""Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to access Zookeeper zk_configmap - JSON re... | stack_v2_sparse_classes_75kplus_train_000692 | 4,162 | permissive | [
{
"docstring": "Initializes the Zookeeper manager with configuration from the Zookeeper yml file Args: namespace - Namespace to deploy the Zookeeper resources to; string",
"name": "__init__",
"signature": "def __init__(self, namespace)"
},
{
"docstring": "Create all Zookeeper items in the cluste... | 3 | stack_v2_sparse_classes_30k_train_045670 | Implement the Python class `ZookeeperManager` described below.
Class description:
Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to ... | Implement the Python class `ZookeeperManager` described below.
Class description:
Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to ... | 2b9551aad8ec5518109030f82a396f0c73658e07 | <|skeleton|>
class ZookeeperManager:
"""Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to access Zookeeper zk_configmap - JSON re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZookeeperManager:
"""Manager for Zookeeper related resources in the cluster Manages creation, deletion, and modification of Zookepeer resources in the Kubernetes cluster. Attributes: zk_service - JSON representation of the Zookeeper service resource used to access Zookeeper zk_configmap - JSON representation ... | the_stack_v2_python_sparse | scripts/control/zk.py | benfen/kapture | train | 0 |
606f42558e73b6d808ca94522bcf781193fdcb8c | [
"self.hp = 1000000\nself.image = pygame.image.load(f'images/{type_}.gif')\nself.rect = self.image.get_rect()\nself.rect.x = x\nself.rect.y = y\nself.is_alive = True",
"if pygame.Rect.colliderect(self.rect, item.rect):\n if isinstance(item, Tank):\n return True\n if isinstance(item, Bullet):\n ... | <|body_start_0|>
self.hp = 1000000
self.image = pygame.image.load(f'images/{type_}.gif')
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
self.is_alive = True
<|end_body_0|>
<|body_start_1|>
if pygame.Rect.colliderect(self.rect, item.rect):
... | Obstacle | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Obstacle:
def __init__(self, x, y, type_):
"""初始化墙属性"""
<|body_0|>
def block_item(self, item):
"""阻挡游戏中的元素"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.hp = 1000000
self.image = pygame.image.load(f'images/{type_}.gif')
self.r... | stack_v2_sparse_classes_75kplus_train_000693 | 10,920 | permissive | [
{
"docstring": "初始化墙属性",
"name": "__init__",
"signature": "def __init__(self, x, y, type_)"
},
{
"docstring": "阻挡游戏中的元素",
"name": "block_item",
"signature": "def block_item(self, item)"
}
] | 2 | null | Implement the Python class `Obstacle` described below.
Class description:
Implement the Obstacle class.
Method signatures and docstrings:
- def __init__(self, x, y, type_): 初始化墙属性
- def block_item(self, item): 阻挡游戏中的元素 | Implement the Python class `Obstacle` described below.
Class description:
Implement the Obstacle class.
Method signatures and docstrings:
- def __init__(self, x, y, type_): 初始化墙属性
- def block_item(self, item): 阻挡游戏中的元素
<|skeleton|>
class Obstacle:
def __init__(self, x, y, type_):
"""初始化墙属性"""
<|... | 0b69b0cda4f57831504d01b51bd2370f436db2b8 | <|skeleton|>
class Obstacle:
def __init__(self, x, y, type_):
"""初始化墙属性"""
<|body_0|>
def block_item(self, item):
"""阻挡游戏中的元素"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Obstacle:
def __init__(self, x, y, type_):
"""初始化墙属性"""
self.hp = 1000000
self.image = pygame.image.load(f'images/{type_}.gif')
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
self.is_alive = True
def block_item(self, item):
... | the_stack_v2_python_sparse | 第一阶段/基础/坦克大战资源/4子弹击中坦克.py | kwhua/nihao- | train | 1 | |
22134e8e3b3f902f9ff171998894b09ef0766603 | [
"state = SqliteState(':memory:')\nstate.initialize()\nreturn state",
"state = self.state_factory()\nresult = state.query('SELECT name FROM sqlite_schema;')\nassert len(result) == 6"
] | <|body_start_0|>
state = SqliteState(':memory:')
state.initialize()
return state
<|end_body_0|>
<|body_start_1|>
state = self.state_factory()
result = state.query('SELECT name FROM sqlite_schema;')
assert len(result) == 6
<|end_body_1|>
| Test SqliteState implemenation with in-memory database. | SqliteInMemoryStateTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SqliteInMemoryStateTest:
"""Test SqliteState implemenation with in-memory database."""
def state_factory(self) -> SqliteState:
"""Return SqliteState with in-memory database."""
<|body_0|>
def test_initialize(self) -> None:
"""Test initialization."""
<|bod... | stack_v2_sparse_classes_75kplus_train_000694 | 14,164 | permissive | [
{
"docstring": "Return SqliteState with in-memory database.",
"name": "state_factory",
"signature": "def state_factory(self) -> SqliteState"
},
{
"docstring": "Test initialization.",
"name": "test_initialize",
"signature": "def test_initialize(self) -> None"
}
] | 2 | stack_v2_sparse_classes_30k_train_024487 | Implement the Python class `SqliteInMemoryStateTest` described below.
Class description:
Test SqliteState implemenation with in-memory database.
Method signatures and docstrings:
- def state_factory(self) -> SqliteState: Return SqliteState with in-memory database.
- def test_initialize(self) -> None: Test initializat... | Implement the Python class `SqliteInMemoryStateTest` described below.
Class description:
Test SqliteState implemenation with in-memory database.
Method signatures and docstrings:
- def state_factory(self) -> SqliteState: Return SqliteState with in-memory database.
- def test_initialize(self) -> None: Test initializat... | 55be690535e5f3feb33c888c3e4a586b7bdbf489 | <|skeleton|>
class SqliteInMemoryStateTest:
"""Test SqliteState implemenation with in-memory database."""
def state_factory(self) -> SqliteState:
"""Return SqliteState with in-memory database."""
<|body_0|>
def test_initialize(self) -> None:
"""Test initialization."""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SqliteInMemoryStateTest:
"""Test SqliteState implemenation with in-memory database."""
def state_factory(self) -> SqliteState:
"""Return SqliteState with in-memory database."""
state = SqliteState(':memory:')
state.initialize()
return state
def test_initialize(self) -... | the_stack_v2_python_sparse | src/py/flwr/server/state/state_test.py | adap/flower | train | 2,999 |
2a16b43d923514042bf74c8b6f463b969d7a3d10 | [
"self._cli_creds = []\nself._folder_paths = {}\ndefault_settings = vendor_settings.pop('default', {})\ndefault_creds = [CLICredentials(user=creds.get('user'), password=creds.get('password'), enable_password=creds.get('enable password')) for creds in default_settings.get('cli-credentials', [])]\nself._default_creds ... | <|body_start_0|>
self._cli_creds = []
self._folder_paths = {}
default_settings = vendor_settings.pop('default', {})
default_creds = [CLICredentials(user=creds.get('user'), password=creds.get('password'), enable_password=creds.get('enable password')) for creds in default_settings.get('cli... | VendorSettingsCollection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VendorSettingsCollection:
def __init__(self, vendor_settings):
""":param dict vendor_settings:"""
<|body_0|>
def get_creds_by_vendor(self, vendor):
"""Get CLI credentials by given vendor :param VendorDefinition vendor: :rtype: VendorCLICredentials"""
<|body_1... | stack_v2_sparse_classes_75kplus_train_000695 | 4,559 | no_license | [
{
"docstring": ":param dict vendor_settings:",
"name": "__init__",
"signature": "def __init__(self, vendor_settings)"
},
{
"docstring": "Get CLI credentials by given vendor :param VendorDefinition vendor: :rtype: VendorCLICredentials",
"name": "get_creds_by_vendor",
"signature": "def get... | 3 | null | Implement the Python class `VendorSettingsCollection` described below.
Class description:
Implement the VendorSettingsCollection class.
Method signatures and docstrings:
- def __init__(self, vendor_settings): :param dict vendor_settings:
- def get_creds_by_vendor(self, vendor): Get CLI credentials by given vendor :pa... | Implement the Python class `VendorSettingsCollection` described below.
Class description:
Implement the VendorSettingsCollection class.
Method signatures and docstrings:
- def __init__(self, vendor_settings): :param dict vendor_settings:
- def get_creds_by_vendor(self, vendor): Get CLI credentials by given vendor :pa... | 9ed9e8e74fcf12cb7f7c7fd945f8bc4fae6d5755 | <|skeleton|>
class VendorSettingsCollection:
def __init__(self, vendor_settings):
""":param dict vendor_settings:"""
<|body_0|>
def get_creds_by_vendor(self, vendor):
"""Get CLI credentials by given vendor :param VendorDefinition vendor: :rtype: VendorCLICredentials"""
<|body_1... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VendorSettingsCollection:
def __init__(self, vendor_settings):
""":param dict vendor_settings:"""
self._cli_creds = []
self._folder_paths = {}
default_settings = vendor_settings.pop('default', {})
default_creds = [CLICredentials(user=creds.get('user'), password=creds.ge... | the_stack_v2_python_sparse | autodiscovery/models/input_data.py | QualiSystems/cloudshell-autodiscovery | train | 1 | |
b0851a16c5f80dd34dc0d5374b49545dae364c8e | [
"return_type = ClientResult(context, SiteSharingReportStatus())\nbinding_type = SiteSharingReportHelper(context)\nqry = ServiceOperationQuery(binding_type, 'CancelSharingReportJob', None, None, None, return_type, True)\ncontext.add_query(qry)\nreturn return_type",
"return_type = ClientResult(context, SiteSharingR... | <|body_start_0|>
return_type = ClientResult(context, SiteSharingReportStatus())
binding_type = SiteSharingReportHelper(context)
qry = ServiceOperationQuery(binding_type, 'CancelSharingReportJob', None, None, None, return_type, True)
context.add_query(qry)
return return_type
<|end... | SiteSharingReportHelper | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SiteSharingReportHelper:
def cancel_sharing_report_job(context):
""":type context: office365.sharepoint.client_context.ClientContext"""
<|body_0|>
def create_sharing_report_job(context, web_url, folder_url):
""":type context: office365.sharepoint.client_context.Clien... | stack_v2_sparse_classes_75kplus_train_000696 | 1,460 | permissive | [
{
"docstring": ":type context: office365.sharepoint.client_context.ClientContext",
"name": "cancel_sharing_report_job",
"signature": "def cancel_sharing_report_job(context)"
},
{
"docstring": ":type context: office365.sharepoint.client_context.ClientContext :param str web_url: :param str folder_... | 2 | stack_v2_sparse_classes_30k_train_028438 | Implement the Python class `SiteSharingReportHelper` described below.
Class description:
Implement the SiteSharingReportHelper class.
Method signatures and docstrings:
- def cancel_sharing_report_job(context): :type context: office365.sharepoint.client_context.ClientContext
- def create_sharing_report_job(context, we... | Implement the Python class `SiteSharingReportHelper` described below.
Class description:
Implement the SiteSharingReportHelper class.
Method signatures and docstrings:
- def cancel_sharing_report_job(context): :type context: office365.sharepoint.client_context.ClientContext
- def create_sharing_report_job(context, we... | cbd245d1af8d69e013c469cfc2a9851f51c91417 | <|skeleton|>
class SiteSharingReportHelper:
def cancel_sharing_report_job(context):
""":type context: office365.sharepoint.client_context.ClientContext"""
<|body_0|>
def create_sharing_report_job(context, web_url, folder_url):
""":type context: office365.sharepoint.client_context.Clien... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SiteSharingReportHelper:
def cancel_sharing_report_job(context):
""":type context: office365.sharepoint.client_context.ClientContext"""
return_type = ClientResult(context, SiteSharingReportStatus())
binding_type = SiteSharingReportHelper(context)
qry = ServiceOperationQuery(bin... | the_stack_v2_python_sparse | office365/sharepoint/sharing/site_sharing_report_helper.py | vgrem/Office365-REST-Python-Client | train | 1,006 | |
b022f640cd77e379ca1876905c7f4b7d106506c7 | [
"self.k = k\nself.upto = upto\nself.normalize = normalize\nself.alphabet = alphabet\ncheck_nac_para(k=self.k, upto=self.upto, normalize=self.normalize, alphabet=self.alphabet)\nself._kmer_list = get_kmer_list(self.k, self.upto, self.alphabet)\nself.feature_name_list = self._kmer_list",
"sequence_list = get_data(d... | <|body_start_0|>
self.k = k
self.upto = upto
self.normalize = normalize
self.alphabet = alphabet
check_nac_para(k=self.k, upto=self.upto, normalize=self.normalize, alphabet=self.alphabet)
self._kmer_list = get_kmer_list(self.k, self.upto, self.alphabet)
self.featu... | Kmer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Kmer:
def __init__(self, k=1, normalize=False, upto=False, alphabet='ACGT'):
""":param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector or not. :param upto: bool, whether to generate 1-kmer, 2-kmer, ..., k-mer. :param alphabet: ... | stack_v2_sparse_classes_75kplus_train_000697 | 8,934 | permissive | [
{
"docstring": ":param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector or not. :param upto: bool, whether to generate 1-kmer, 2-kmer, ..., k-mer. :param alphabet: string.",
"name": "__init__",
"signature": "def __init__(self, k=1, normalize=Fa... | 2 | null | Implement the Python class `Kmer` described below.
Class description:
Implement the Kmer class.
Method signatures and docstrings:
- def __init__(self, k=1, normalize=False, upto=False, alphabet='ACGT'): :param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector... | Implement the Python class `Kmer` described below.
Class description:
Implement the Kmer class.
Method signatures and docstrings:
- def __init__(self, k=1, normalize=False, upto=False, alphabet='ACGT'): :param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector... | a46526eb1094b87ffa387e357de9313cff7ff7e3 | <|skeleton|>
class Kmer:
def __init__(self, k=1, normalize=False, upto=False, alphabet='ACGT'):
""":param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector or not. :param upto: bool, whether to generate 1-kmer, 2-kmer, ..., k-mer. :param alphabet: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Kmer:
def __init__(self, k=1, normalize=False, upto=False, alphabet='ACGT'):
""":param k: int, the k value of kmer, it should be larger than 0. :param normalize: bool, normalize the result vector or not. :param upto: bool, whether to generate 1-kmer, 2-kmer, ..., k-mer. :param alphabet: string."""
... | the_stack_v2_python_sparse | molmap/feature/sequence/nas/global_feature/nac.py | shenwanxiang/bidd-molmap | train | 124 | |
7c0f0ef1f5977cf95e47d3cfa28e910318e1ac0c | [
"self.pool_size = pool_size\nself.p = p\nif self.pool_size > 0:\n self.num_imgs = 0\n self.images = []",
"if self.pool_size == 0:\n return images\nreturn_images = []\nfor image in images:\n image = torch.unsqueeze(image.data, 0)\n if self.num_imgs < self.pool_size:\n self.num_imgs = self.num... | <|body_start_0|>
self.pool_size = pool_size
self.p = p
if self.pool_size > 0:
self.num_imgs = 0
self.images = []
<|end_body_0|>
<|body_start_1|>
if self.pool_size == 0:
return images
return_images = []
for image in images:
... | This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators. | ImagePool | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImagePool:
"""This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators."""
def __init__(self, pool_size, p=0.5):
"""Initial... | stack_v2_sparse_classes_75kplus_train_000698 | 5,234 | permissive | [
{
"docstring": "Initialize the ImagePool class Parameters: pool_size (int) -- the size of image buffer, if pool_size=0, no buffer will be created",
"name": "__init__",
"signature": "def __init__(self, pool_size, p=0.5)"
},
{
"docstring": "Return an image from the pool. Parameters: images: the la... | 2 | stack_v2_sparse_classes_30k_val_001727 | Implement the Python class `ImagePool` described below.
Class description:
This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators.
Method signatures and do... | Implement the Python class `ImagePool` described below.
Class description:
This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators.
Method signatures and do... | f58d4fa293f7950fe131bf50994c1944ffa3b65f | <|skeleton|>
class ImagePool:
"""This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators."""
def __init__(self, pool_size, p=0.5):
"""Initial... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImagePool:
"""This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of generated images rather than the ones produced by the latest generators."""
def __init__(self, pool_size, p=0.5):
"""Initialize the Image... | the_stack_v2_python_sparse | util/util.py | penguinbing/Mask-ShadowNet | train | 2 |
bc265ad8f156dce7bf7f872247f712207046be6c | [
"super(FusionModule, self).__init__()\nself.input_channels = fuse_config['in_channels']\nself.num_hidden_layers = fuse_config['num_hidden_layers']\nhidden_channels = fuse_config['hidden_channels']\nkernel_sizes = fuse_config['kernel_sizes']\ngru_units = []\nfor i in range(0, self.num_hidden_layers):\n cur_input_... | <|body_start_0|>
super(FusionModule, self).__init__()
self.input_channels = fuse_config['in_channels']
self.num_hidden_layers = fuse_config['num_hidden_layers']
hidden_channels = fuse_config['hidden_channels']
kernel_sizes = fuse_config['kernel_sizes']
gru_units = []
... | FusionModule | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FusionModule:
def __init__(self, fuse_config):
"""Args: fuse_config : dict, fusion configuration"""
<|body_0|>
def forward(self, x, alphas, h=None):
"""Args: x : tensor (B, L, C, W, H), hidden states alphas : tensor (B, L, 1, 1, 1), boolean indicator (0 if padded low... | stack_v2_sparse_classes_75kplus_train_000699 | 9,902 | permissive | [
{
"docstring": "Args: fuse_config : dict, fusion configuration",
"name": "__init__",
"signature": "def __init__(self, fuse_config)"
},
{
"docstring": "Args: x : tensor (B, L, C, W, H), hidden states alphas : tensor (B, L, 1, 1, 1), boolean indicator (0 if padded low-res view, 1 otherwise) Return... | 2 | null | Implement the Python class `FusionModule` described below.
Class description:
Implement the FusionModule class.
Method signatures and docstrings:
- def __init__(self, fuse_config): Args: fuse_config : dict, fusion configuration
- def forward(self, x, alphas, h=None): Args: x : tensor (B, L, C, W, H), hidden states al... | Implement the Python class `FusionModule` described below.
Class description:
Implement the FusionModule class.
Method signatures and docstrings:
- def __init__(self, fuse_config): Args: fuse_config : dict, fusion configuration
- def forward(self, x, alphas, h=None): Args: x : tensor (B, L, C, W, H), hidden states al... | caf71c8446e185bc6f44f6e29c029883550ef9d9 | <|skeleton|>
class FusionModule:
def __init__(self, fuse_config):
"""Args: fuse_config : dict, fusion configuration"""
<|body_0|>
def forward(self, x, alphas, h=None):
"""Args: x : tensor (B, L, C, W, H), hidden states alphas : tensor (B, L, 1, 1, 1), boolean indicator (0 if padded low... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FusionModule:
def __init__(self, fuse_config):
"""Args: fuse_config : dict, fusion configuration"""
super(FusionModule, self).__init__()
self.input_channels = fuse_config['in_channels']
self.num_hidden_layers = fuse_config['num_hidden_layers']
hidden_channels = fuse_con... | the_stack_v2_python_sparse | src/DeepNetworks/MISRGRU.py | hehongjie/MISR-GRU | train | 0 |
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