blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50fc075c8b03b337eda35200a954205dbf5df24a | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | 定义算术服务 | ArithServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArithServicer:
"""定义算术服务"""
def XiangJia(self, request, context):
"""定义相加方法"""
<|body_0|>
def XiangJian(self, request, context):
"""定义相减方法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
co... | stack_v2_sparse_classes_36k_train_002000 | 3,524 | no_license | [
{
"docstring": "定义相加方法",
"name": "XiangJia",
"signature": "def XiangJia(self, request, context)"
},
{
"docstring": "定义相减方法",
"name": "XiangJian",
"signature": "def XiangJian(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004725 | Implement the Python class `ArithServicer` described below.
Class description:
定义算术服务
Method signatures and docstrings:
- def XiangJia(self, request, context): 定义相加方法
- def XiangJian(self, request, context): 定义相减方法 | Implement the Python class `ArithServicer` described below.
Class description:
定义算术服务
Method signatures and docstrings:
- def XiangJia(self, request, context): 定义相加方法
- def XiangJian(self, request, context): 定义相减方法
<|skeleton|>
class ArithServicer:
"""定义算术服务"""
def XiangJia(self, request, context):
... | c2389b6d9c47d9a1a2e63c8e0dc3fc132943b444 | <|skeleton|>
class ArithServicer:
"""定义算术服务"""
def XiangJia(self, request, context):
"""定义相加方法"""
<|body_0|>
def XiangJian(self, request, context):
"""定义相减方法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ArithServicer:
"""定义算术服务"""
def XiangJia(self, request, context):
"""定义相加方法"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def XiangJian(self, request, context):
... | the_stack_v2_python_sparse | micro/proto/grpc/arith_pb2_grpc.py | jstang9527/buoy | train | 2 |
15bebe7cd93e6e69a86ed91f5cd43a7889e3ca15 | [
"self.longitude = round(longitude, 4)\nself.latitude = round(latitude, 4)\nself.center = 'center=' + str(latitude) + ',' + str(longitude)\nself.zoom = 'zoom=%d' % zoom_level\nself.google_query = '&'.join([GMapQuery.beginning, self.center, self.zoom, GMapQuery.format, GMapQuery.map_type, GMapQuery.size, GMapQuery.ke... | <|body_start_0|>
self.longitude = round(longitude, 4)
self.latitude = round(latitude, 4)
self.center = 'center=' + str(latitude) + ',' + str(longitude)
self.zoom = 'zoom=%d' % zoom_level
self.google_query = '&'.join([GMapQuery.beginning, self.center, self.zoom, GMapQuery.format, ... | A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API | GMapQuery | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GMapQuery:
"""A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API"""
def __init__(self, latitude, longitude, zoom_level=18):
"""Provide a float pair of latitude/longitude and a zoom level to create a new... | stack_v2_sparse_classes_36k_train_002001 | 15,201 | no_license | [
{
"docstring": "Provide a float pair of latitude/longitude and a zoom level to create a new GMapQuery object. This object will then be used to access the GMaps API. :rtype : GMapQuery :param latitude: latitude of the center point :param longitude: longitude of the center point :param zoom_level: level of zoom t... | 4 | stack_v2_sparse_classes_30k_train_018406 | Implement the Python class `GMapQuery` described below.
Class description:
A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API
Method signatures and docstrings:
- def __init__(self, latitude, longitude, zoom_level=18): Provide a float pa... | Implement the Python class `GMapQuery` described below.
Class description:
A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API
Method signatures and docstrings:
- def __init__(self, latitude, longitude, zoom_level=18): Provide a float pa... | bdde340d3c9de483f19749a4b59a24ed80e61047 | <|skeleton|>
class GMapQuery:
"""A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API"""
def __init__(self, latitude, longitude, zoom_level=18):
"""Provide a float pair of latitude/longitude and a zoom level to create a new... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GMapQuery:
"""A GMapQuery object is an instance of google map query. It can be used to fetch and download static images through the GoogleMaps API"""
def __init__(self, latitude, longitude, zoom_level=18):
"""Provide a float pair of latitude/longitude and a zoom level to create a new GMapQuery ob... | the_stack_v2_python_sparse | get_data/download_GMapQuery.py | 1va/caravan | train | 0 |
2d57e31e6c305401117a2256525f793e28fd296a | [
"sez = niz.split()\nself.x = int(sez[0])\nself.y = int(sez[1])",
"razd_krajišči = math.sqrt((krajišče1.x - krajišče2.x) ** 2 + (krajišče1.y - krajišče2.y) ** 2)\nrazd1 = math.sqrt((self.y - krajišče1.y) ** 2 + (self.x - krajišče1.x) ** 2)\nrazd2 = math.sqrt((self.y - krajišče2.y) ** 2 + (self.x - krajišče2.x) ** ... | <|body_start_0|>
sez = niz.split()
self.x = int(sez[0])
self.y = int(sez[1])
<|end_body_0|>
<|body_start_1|>
razd_krajišči = math.sqrt((krajišče1.x - krajišče2.x) ** 2 + (krajišče1.y - krajišče2.y) ** 2)
razd1 = math.sqrt((self.y - krajišče1.y) ** 2 + (self.x - krajišče1.x) ** 2... | Predstavlja točko s koordinatama x in y. | Točka | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Točka:
"""Predstavlja točko s koordinatama x in y."""
def __init__(self, niz):
"""Dobi niz oblike 'x y' in iz njega razbere točkini koordinati."""
<|body_0|>
def je_na_črti(self, krajišče1, krajišče2):
"""Preveri ali točka 'točka' leži na daljici med krajišče1 in... | stack_v2_sparse_classes_36k_train_002002 | 2,501 | no_license | [
{
"docstring": "Dobi niz oblike 'x y' in iz njega razbere točkini koordinati.",
"name": "__init__",
"signature": "def __init__(self, niz)"
},
{
"docstring": "Preveri ali točka 'točka' leži na daljici med krajišče1 in krajišče2.",
"name": "je_na_črti",
"signature": "def je_na_črti(self, k... | 2 | stack_v2_sparse_classes_30k_train_016042 | Implement the Python class `Točka` described below.
Class description:
Predstavlja točko s koordinatama x in y.
Method signatures and docstrings:
- def __init__(self, niz): Dobi niz oblike 'x y' in iz njega razbere točkini koordinati.
- def je_na_črti(self, krajišče1, krajišče2): Preveri ali točka 'točka' leži na dal... | Implement the Python class `Točka` described below.
Class description:
Predstavlja točko s koordinatama x in y.
Method signatures and docstrings:
- def __init__(self, niz): Dobi niz oblike 'x y' in iz njega razbere točkini koordinati.
- def je_na_črti(self, krajišče1, krajišče2): Preveri ali točka 'točka' leži na dal... | 32fd8fde84fa5c1e2d2b366d9d97bb9835a61ec4 | <|skeleton|>
class Točka:
"""Predstavlja točko s koordinatama x in y."""
def __init__(self, niz):
"""Dobi niz oblike 'x y' in iz njega razbere točkini koordinati."""
<|body_0|>
def je_na_črti(self, krajišče1, krajišče2):
"""Preveri ali točka 'točka' leži na daljici med krajišče1 in... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Točka:
"""Predstavlja točko s koordinatama x in y."""
def __init__(self, niz):
"""Dobi niz oblike 'x y' in iz njega razbere točkini koordinati."""
sez = niz.split()
self.x = int(sez[0])
self.y = int(sez[1])
def je_na_črti(self, krajišče1, krajišče2):
"""Prever... | the_stack_v2_python_sparse | poininpolygon.py | EminaMerlakSusman/kattis-solutions | train | 0 |
c07584d731116917c651a973040025ecdb7ddc50 | [
"super(AttnDecoderRNN, self).__init__()\nself.hidden_size = hidden_size\nself.output_voc_size = output_voc_size\nself.dropout_p = dropout_p\nself.max_length = max_length\nself.encoder_bidirectional = encoder_bidirectional\nself.embedding = nn.Embedding(self.output_voc_size, self.hidden_size)\nif self.encoder_bidire... | <|body_start_0|>
super(AttnDecoderRNN, self).__init__()
self.hidden_size = hidden_size
self.output_voc_size = output_voc_size
self.dropout_p = dropout_p
self.max_length = max_length
self.encoder_bidirectional = encoder_bidirectional
self.embedding = nn.Embedding(s... | GRU Attention Decoder for Encoder-Decoder. | AttnDecoderRNN | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttnDecoderRNN:
"""GRU Attention Decoder for Encoder-Decoder."""
def __init__(self, hidden_size, output_voc_size, dropout_p=0.1, max_length=10, encoder_bidirectional=True):
"""Initializes an Decoder network based on a Gated Recurrent Unit. :param hidden_size: length of embedding vect... | stack_v2_sparse_classes_36k_train_002003 | 7,831 | permissive | [
{
"docstring": "Initializes an Decoder network based on a Gated Recurrent Unit. :param hidden_size: length of embedding vectors. :param output_voc_size: size of the vocabulary set to be embedded by the Embedding layer. :param dropout_p: probability of an element to be zeroed for the Dropout layer. :param max_le... | 2 | stack_v2_sparse_classes_30k_train_004324 | Implement the Python class `AttnDecoderRNN` described below.
Class description:
GRU Attention Decoder for Encoder-Decoder.
Method signatures and docstrings:
- def __init__(self, hidden_size, output_voc_size, dropout_p=0.1, max_length=10, encoder_bidirectional=True): Initializes an Decoder network based on a Gated Rec... | Implement the Python class `AttnDecoderRNN` described below.
Class description:
GRU Attention Decoder for Encoder-Decoder.
Method signatures and docstrings:
- def __init__(self, hidden_size, output_voc_size, dropout_p=0.1, max_length=10, encoder_bidirectional=True): Initializes an Decoder network based on a Gated Rec... | c655c88cc6aec4d0724c19ea95209f1c2dd6770d | <|skeleton|>
class AttnDecoderRNN:
"""GRU Attention Decoder for Encoder-Decoder."""
def __init__(self, hidden_size, output_voc_size, dropout_p=0.1, max_length=10, encoder_bidirectional=True):
"""Initializes an Decoder network based on a Gated Recurrent Unit. :param hidden_size: length of embedding vect... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AttnDecoderRNN:
"""GRU Attention Decoder for Encoder-Decoder."""
def __init__(self, hidden_size, output_voc_size, dropout_p=0.1, max_length=10, encoder_bidirectional=True):
"""Initializes an Decoder network based on a Gated Recurrent Unit. :param hidden_size: length of embedding vectors. :param o... | the_stack_v2_python_sparse | models/text2text/attn_decoder.py | aasseman/mi-prometheus | train | 0 |
14389efd7fda65ba1509874e2a475b05e4376c93 | [
"self.wait_for_click((By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)'))\nself._driver.find_element(By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)').send_keys(Keys.ENTER)\nprint('点击添加按钮')\nreturn AddMember()",
"self.wait_for_click((By.ID, 'menu_contacts'))\nself._driver.execute_script('docu... | <|body_start_0|>
self.wait_for_click((By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)'))
self._driver.find_element(By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)').send_keys(Keys.ENTER)
print('点击添加按钮')
return AddMember()
<|end_body_0|>
<|body_start_1|>
sel... | Main | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Main:
def goto_add_member(self):
"""实现点击添加成员按钮的方法"""
<|body_0|>
def goto_address_list(self):
"""实现点击通讯录按钮的方法"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.wait_for_click((By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)'))
s... | stack_v2_sparse_classes_36k_train_002004 | 1,083 | no_license | [
{
"docstring": "实现点击添加成员按钮的方法",
"name": "goto_add_member",
"signature": "def goto_add_member(self)"
},
{
"docstring": "实现点击通讯录按钮的方法",
"name": "goto_address_list",
"signature": "def goto_address_list(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_002137 | Implement the Python class `Main` described below.
Class description:
Implement the Main class.
Method signatures and docstrings:
- def goto_add_member(self): 实现点击添加成员按钮的方法
- def goto_address_list(self): 实现点击通讯录按钮的方法 | Implement the Python class `Main` described below.
Class description:
Implement the Main class.
Method signatures and docstrings:
- def goto_add_member(self): 实现点击添加成员按钮的方法
- def goto_address_list(self): 实现点击通讯录按钮的方法
<|skeleton|>
class Main:
def goto_add_member(self):
"""实现点击添加成员按钮的方法"""
<|body_... | fdf51704b5e23b5269df0e1e9371f2a2e837b7c0 | <|skeleton|>
class Main:
def goto_add_member(self):
"""实现点击添加成员按钮的方法"""
<|body_0|>
def goto_address_list(self):
"""实现点击通讯录按钮的方法"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Main:
def goto_add_member(self):
"""实现点击添加成员按钮的方法"""
self.wait_for_click((By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)'))
self._driver.find_element(By.CSS_SELECTOR, '.index_service_cnt_itemWrap:nth-child(1)').send_keys(Keys.ENTER)
print('点击添加按钮')
return Ad... | the_stack_v2_python_sparse | web/page_workwx_main/page/page_main.py | ouyi-github/cskf | train | 0 | |
09540f4af46d2a8848aec6d8673a78f6fb26a421 | [
"helper = self._getHelper(model)\nmetadata = helper.getMetadata(model)\nidentifier = helper.getIdentifier(model)\nprovider = helper.getProvider(model)\nconfig = TableViewSessionConfig(identifier + '_session', provider, identifier=identifier)\nreturn config.getValue()",
"helper = self._getHelper(model)\nidentifier... | <|body_start_0|>
helper = self._getHelper(model)
metadata = helper.getMetadata(model)
identifier = helper.getIdentifier(model)
provider = helper.getProvider(model)
config = TableViewSessionConfig(identifier + '_session', provider, identifier=identifier)
return config.getV... | DataFetcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataFetcher:
def getTableValue(self, model, offset=None, limit=None, foreignKeyFieldLabels={}):
"""getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model xxx: limit and offset are currently not employed Arguments: name type Description model class sqlalch... | stack_v2_sparse_classes_36k_train_002005 | 21,675 | no_license | [
{
"docstring": "getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model xxx: limit and offset are currently not employed Arguments: name type Description model class sqlalchemy mapped class definition",
"name": "getTableValue",
"signature": "def getTableValue(self, model,... | 2 | null | Implement the Python class `DataFetcher` described below.
Class description:
Implement the DataFetcher class.
Method signatures and docstrings:
- def getTableValue(self, model, offset=None, limit=None, foreignKeyFieldLabels={}): getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model x... | Implement the Python class `DataFetcher` described below.
Class description:
Implement the DataFetcher class.
Method signatures and docstrings:
- def getTableValue(self, model, offset=None, limit=None, foreignKeyFieldLabels={}): getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model x... | 971b9c3eb8ca941d1797bb4b458f275bdca5a2cb | <|skeleton|>
class DataFetcher:
def getTableValue(self, model, offset=None, limit=None, foreignKeyFieldLabels={}):
"""getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model xxx: limit and offset are currently not employed Arguments: name type Description model class sqlalch... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataFetcher:
def getTableValue(self, model, offset=None, limit=None, foreignKeyFieldLabels={}):
"""getTableValue(model) --> SQLAlchemy result rows gets a set of results for a given model xxx: limit and offset are currently not employed Arguments: name type Description model class sqlalchemy mapped cla... | the_stack_v2_python_sparse | dbsprockets/dbsprockets/primitives.py | arianepaola/tg2jython | train | 1 | |
10a26751cc45b639cc93191ec65dceb456dc96fa | [
"ComponentWrapper.__init__(self, tag, xmldoc, tarsqi_instance)\nself.component_name = GUTIME\nself.btime = BTime()\nself.DIR_GUTIME = TTK_ROOT + os.sep + 'components' + os.sep + 'gutime'\nself.CREATION_EXTENSION = 'gut.i.xml'\nself.TMP1_EXTENSION = 'gut.t1.xml'\nself.TMP2_EXTENSION = 'gut.t2.xml'\nself.RETRIEVAL_EX... | <|body_start_0|>
ComponentWrapper.__init__(self, tag, xmldoc, tarsqi_instance)
self.component_name = GUTIME
self.btime = BTime()
self.DIR_GUTIME = TTK_ROOT + os.sep + 'components' + os.sep + 'gutime'
self.CREATION_EXTENSION = 'gut.i.xml'
self.TMP1_EXTENSION = 'gut.t1.xml'... | Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables. | GUTimeWrapper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GUTimeWrapper:
"""Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_instance):
"""Calls __i... | stack_v2_sparse_classes_36k_train_002006 | 2,288 | no_license | [
{
"docstring": "Calls __init__ of the base class and sets component_name, DIR_GUTIME, CREATION_EXTENSION and RETRIEVAL_EXTENSION.",
"name": "__init__",
"signature": "def __init__(self, tag, xmldoc, tarsqi_instance)"
},
{
"docstring": "Calls, for each fragment, the Perl scripts that implement GUT... | 2 | null | Implement the Python class `GUTimeWrapper` described below.
Class description:
Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables.
Method signatures and docstrings:
- de... | Implement the Python class `GUTimeWrapper` described below.
Class description:
Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables.
Method signatures and docstrings:
- de... | efb55fa054e2313fd710939330a4fbda5634cb41 | <|skeleton|>
class GUTimeWrapper:
"""Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_instance):
"""Calls __i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GUTimeWrapper:
"""Wrapper for GUTime. See ComponentWrapper for more details on how component wrappers work. Instance variables DIR_GUTIME - directry where the GUTime code lives see ComponentWrapper for other variables."""
def __init__(self, tag, xmldoc, tarsqi_instance):
"""Calls __init__ of the ... | the_stack_v2_python_sparse | code/components/gutime/wrapper.py | tankle/TARSQI | train | 1 |
5233f8f4300c916a7730fd5d82b380c62cabd9bb | [
"portal_types = getToolByName(self.context, 'portal_types')\ntransaction = self.context\nentries = transaction.entries()\nif not transaction.canUndoOrReverse():\n raise AccessControl_Unauthorized('No permission to create transactionentries, or there are no entries to reverse')\ntransaction_folder = transaction.g... | <|body_start_0|>
portal_types = getToolByName(self.context, 'portal_types')
transaction = self.context
entries = transaction.entries()
if not transaction.canUndoOrReverse():
raise AccessControl_Unauthorized('No permission to create transactionentries, or there are no entries ... | Transaction | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Transaction:
def reverse_transaction(self):
"""Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry"""
<|body_0|>
def undo_transaction(self):
"""Undo a transaction - remove the reference to the transaction, and do a ... | stack_v2_sparse_classes_36k_train_002007 | 2,892 | no_license | [
{
"docstring": "Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry",
"name": "reverse_transaction",
"signature": "def reverse_transaction(self)"
},
{
"docstring": "Undo a transaction - remove the reference to the transaction, and do a debit/cr... | 2 | stack_v2_sparse_classes_30k_test_000730 | Implement the Python class `Transaction` described below.
Class description:
Implement the Transaction class.
Method signatures and docstrings:
- def reverse_transaction(self): Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry
- def undo_transaction(self): Undo a ... | Implement the Python class `Transaction` described below.
Class description:
Implement the Transaction class.
Method signatures and docstrings:
- def reverse_transaction(self): Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry
- def undo_transaction(self): Undo a ... | 77abccb6f7454f09a11e17841ba2049d4f11915c | <|skeleton|>
class Transaction:
def reverse_transaction(self):
"""Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry"""
<|body_0|>
def undo_transaction(self):
"""Undo a transaction - remove the reference to the transaction, and do a ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Transaction:
def reverse_transaction(self):
"""Reverse a transaction - create a debit for a credit and a credit for a debit for each transaction entry"""
portal_types = getToolByName(self.context, 'portal_types')
transaction = self.context
entries = transaction.entries()
... | the_stack_v2_python_sparse | Products/UpfrontAccounting/browser/transaction.py | rochecompaan/Products.UpfrontAccounting | train | 0 | |
329c87cb4e874d5aaa281b7afd07ba72a0709dee | [
"header('Content-Type', 'application/json')\ntry:\n attribs = list_account_attributes(account, vo=ctx.env.get('vo'))\nexcept AccountNotFound as error:\n raise generate_http_error(404, 'AccountNotFound', error.args[0])\nexcept RucioException as error:\n raise generate_http_error(500, error.__class__.__name_... | <|body_start_0|>
header('Content-Type', 'application/json')
try:
attribs = list_account_attributes(account, vo=ctx.env.get('vo'))
except AccountNotFound as error:
raise generate_http_error(404, 'AccountNotFound', error.args[0])
except RucioException as error:
... | Attributes | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Attributes:
def GET(self, account):
"""list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-Account: Account identifier. :param Rucio-Auth-Token: as an 32 character hex string. :returns: JSON... | stack_v2_sparse_classes_36k_train_002008 | 27,871 | permissive | [
{
"docstring": "list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-Account: Account identifier. :param Rucio-Auth-Token: as an 32 character hex string. :returns: JSON dict containing informations about the request... | 3 | null | Implement the Python class `Attributes` described below.
Class description:
Implement the Attributes class.
Method signatures and docstrings:
- def GET(self, account): list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-... | Implement the Python class `Attributes` described below.
Class description:
Implement the Attributes class.
Method signatures and docstrings:
- def GET(self, account): list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-... | bf33d9441d3b4ff160a392eed56724f635a03fe6 | <|skeleton|>
class Attributes:
def GET(self, account):
"""list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-Account: Account identifier. :param Rucio-Auth-Token: as an 32 character hex string. :returns: JSON... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Attributes:
def GET(self, account):
"""list all attributes for an account. HTTP Success: 200 OK HTTP Error: 401 Unauthorized 404 Not Found 406 Not Acceptable 500 InternalError :param Rucio-Account: Account identifier. :param Rucio-Auth-Token: as an 32 character hex string. :returns: JSON dict containi... | the_stack_v2_python_sparse | lib/rucio/web/rest/webpy/v1/account.py | viveknigam3003/rucio | train | 1 | |
57c970e2a82aaaaff91bf95c5fd01279f12e18fe | [
"res = []\nfor each in A:\n tem = []\n for each_char in each[::-1]:\n if each_char == 1:\n tem.append(0)\n else:\n tem.append(1)\n res.append(tem)\nreturn res",
"res = []\nfor each in A:\n tem = []\n for each_char in each[::-1]:\n tem.append(1 - each_char)... | <|body_start_0|>
res = []
for each in A:
tem = []
for each_char in each[::-1]:
if each_char == 1:
tem.append(0)
else:
tem.append(1)
res.append(tem)
return res
<|end_body_0|>
<|body_start_... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def flipAndInvertImage(self, A):
""":type A: List[List[int]] :rtype: List[List[int]]"""
<|body_0|>
def flipAndInvertImage2(self, A):
""":type A: List[List[int]] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = ... | stack_v2_sparse_classes_36k_train_002009 | 804 | no_license | [
{
"docstring": ":type A: List[List[int]] :rtype: List[List[int]]",
"name": "flipAndInvertImage",
"signature": "def flipAndInvertImage(self, A)"
},
{
"docstring": ":type A: List[List[int]] :rtype: List[List[int]]",
"name": "flipAndInvertImage2",
"signature": "def flipAndInvertImage2(self,... | 2 | stack_v2_sparse_classes_30k_train_020656 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flipAndInvertImage(self, A): :type A: List[List[int]] :rtype: List[List[int]]
- def flipAndInvertImage2(self, A): :type A: List[List[int]] :rtype: List[List[int]] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def flipAndInvertImage(self, A): :type A: List[List[int]] :rtype: List[List[int]]
- def flipAndInvertImage2(self, A): :type A: List[List[int]] :rtype: List[List[int]]
<|skeleton... | 4105e18050b15fc0409c75353ad31be17187dd34 | <|skeleton|>
class Solution:
def flipAndInvertImage(self, A):
""":type A: List[List[int]] :rtype: List[List[int]]"""
<|body_0|>
def flipAndInvertImage2(self, A):
""":type A: List[List[int]] :rtype: List[List[int]]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def flipAndInvertImage(self, A):
""":type A: List[List[int]] :rtype: List[List[int]]"""
res = []
for each in A:
tem = []
for each_char in each[::-1]:
if each_char == 1:
tem.append(0)
else:
... | the_stack_v2_python_sparse | flipAndInvertImage.py | NeilWangziyu/Leetcode_py | train | 2 | |
6efb806b9601b23d2f453ec8c499bc54667f950d | [
"super().__init__()\nstate_dim = descript.get('state_dim')\naction_dim = descript.get('action_dim')\nself.back_bone = ImpalaCnnBackBone(**descript)\nself.fc2 = Sequential(Linear(256, action_dim), Lambda(lambda x: softmax(x)))\nself.fc3 = Sequential(Linear(256, 1))",
"outputs = []\nback_bone_output = self.back_bon... | <|body_start_0|>
super().__init__()
state_dim = descript.get('state_dim')
action_dim = descript.get('action_dim')
self.back_bone = ImpalaCnnBackBone(**descript)
self.fc2 = Sequential(Linear(256, action_dim), Lambda(lambda x: softmax(x)))
self.fc3 = Sequential(Linear(256, ... | Create DQN net with FineGrainedSpace. | ImpalaCnnNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImpalaCnnNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
<|body_0|>
def __call__(self, inputs):
"""Override compile function, conect models into a seq."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_002010 | 4,926 | permissive | [
{
"docstring": "Create layers.",
"name": "__init__",
"signature": "def __init__(self, **descript)"
},
{
"docstring": "Override compile function, conect models into a seq.",
"name": "__call__",
"signature": "def __call__(self, inputs)"
}
] | 2 | null | Implement the Python class `ImpalaCnnNet` described below.
Class description:
Create DQN net with FineGrainedSpace.
Method signatures and docstrings:
- def __init__(self, **descript): Create layers.
- def __call__(self, inputs): Override compile function, conect models into a seq. | Implement the Python class `ImpalaCnnNet` described below.
Class description:
Create DQN net with FineGrainedSpace.
Method signatures and docstrings:
- def __init__(self, **descript): Create layers.
- def __call__(self, inputs): Override compile function, conect models into a seq.
<|skeleton|>
class ImpalaCnnNet:
... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class ImpalaCnnNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
<|body_0|>
def __call__(self, inputs):
"""Override compile function, conect models into a seq."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImpalaCnnNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
super().__init__()
state_dim = descript.get('state_dim')
action_dim = descript.get('action_dim')
self.back_bone = ImpalaCnnBackBone(**descript)
se... | the_stack_v2_python_sparse | xt/model/impala/impala_cnn_zeus.py | huawei-noah/xingtian | train | 308 |
93fcea611e99e3137b1b6047c362ac72cb988275 | [
"row = g.db.query(Machine).get(machine_id)\nif not row:\n log.warning('Requested a non-existant machine: %s', machine_id)\n abort(http_client.NOT_FOUND, description='Machine not found')\nrecord = row.as_dict()\nrecord['url'] = url_for('machines.entry', machine_id=machine_id, _external=True)\nrecord['servers_u... | <|body_start_0|>
row = g.db.query(Machine).get(machine_id)
if not row:
log.warning('Requested a non-existant machine: %s', machine_id)
abort(http_client.NOT_FOUND, description='Machine not found')
record = row.as_dict()
record['url'] = url_for('machines.entry', ma... | Information about specific machines | MachineAPI | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
<|body_0|>
def put(self, machine_id):
"""Update machine Heartbeat and... | stack_v2_sparse_classes_36k_train_002011 | 8,672 | permissive | [
{
"docstring": "Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json",
"name": "get",
"signature": "def get(self, machine_id)"
},
{
"docstring": "Update machine Heartbeat and update the machine reference",
"name": "put",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_019996 | Implement the Python class `MachineAPI` described below.
Class description:
Information about specific machines
Method signatures and docstrings:
- def get(self, machine_id): Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json
- def put(self, machine_id): Update ... | Implement the Python class `MachineAPI` described below.
Class description:
Information about specific machines
Method signatures and docstrings:
- def get(self, machine_id): Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json
- def put(self, machine_id): Update ... | 9825cb22b26b577b715f2ce95453363bf90ecc7e | <|skeleton|>
class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
<|body_0|>
def put(self, machine_id):
"""Update machine Heartbeat and... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MachineAPI:
"""Information about specific machines"""
def get(self, machine_id):
"""Find machine by ID Get information about a single battle server machine. Just dumps out the DB row as json"""
row = g.db.query(Machine).get(machine_id)
if not row:
log.warning('Requeste... | the_stack_v2_python_sparse | driftbase/api/machines.py | dgnorth/drift-base | train | 1 |
6699e3211bd2c2abd756e6fad07c9eaf6847f2c5 | [
"if instance.author is None:\n return None\nif 'users' in self.context:\n return self.context['users'].get(instance.author.name)\nelse:\n return User.objects.filter(username=instance.author.name).select_related('profile').first()",
"try:\n return self._get_user(instance).profile\nexcept (AttributeErro... | <|body_start_0|>
if instance.author is None:
return None
if 'users' in self.context:
return self.context['users'].get(instance.author.name)
else:
return User.objects.filter(username=instance.author.name).select_related('profile').first()
<|end_body_0|>
<|body... | Serializer class for reddit objects (posts, comments) | RedditObjectSerializer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RedditObjectSerializer:
"""Serializer class for reddit objects (posts, comments)"""
def _get_user(self, instance):
"""Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up the user for"""
<|body_0|>
def _get_profile... | stack_v2_sparse_classes_36k_train_002012 | 1,314 | permissive | [
{
"docstring": "Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up the user for",
"name": "_get_user",
"signature": "def _get_user(self, instance)"
},
{
"docstring": "Return a user profile if it exists, else None Args: instance (praw.mod... | 2 | null | Implement the Python class `RedditObjectSerializer` described below.
Class description:
Serializer class for reddit objects (posts, comments)
Method signatures and docstrings:
- def _get_user(self, instance): Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up... | Implement the Python class `RedditObjectSerializer` described below.
Class description:
Serializer class for reddit objects (posts, comments)
Method signatures and docstrings:
- def _get_user(self, instance): Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up... | ba7442482da97d463302658c0aac989567ee1241 | <|skeleton|>
class RedditObjectSerializer:
"""Serializer class for reddit objects (posts, comments)"""
def _get_user(self, instance):
"""Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up the user for"""
<|body_0|>
def _get_profile... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RedditObjectSerializer:
"""Serializer class for reddit objects (posts, comments)"""
def _get_user(self, instance):
"""Look up user in the context from the post author Args: instance (praw.models.Submission): The post to look up the user for"""
if instance.author is None:
retur... | the_stack_v2_python_sparse | channels/serializers/base.py | mitodl/open-discussions | train | 13 |
1f61e0ed43d06a9ba910a30e0ad30565dac62fc1 | [
"if namespace is None:\n self.use_main_ns = 1\nelse:\n self.use_main_ns = 0\n self.namespace = namespace\nif global_namespace is None:\n self.global_namespace = {}\nelse:\n self.global_namespace = global_namespace\nsuper(Completer, self).__init__(**kwargs)",
"if self.use_main_ns:\n self.namespac... | <|body_start_0|>
if namespace is None:
self.use_main_ns = 1
else:
self.use_main_ns = 0
self.namespace = namespace
if global_namespace is None:
self.global_namespace = {}
else:
self.global_namespace = global_namespace
sup... | Completer | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Completer:
def __init__(self, namespace=None, global_namespace=None, **kwargs):
"""Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer instance. If unspecified, the default namespace where completions are performed is __main__ (technica... | stack_v2_sparse_classes_36k_train_002013 | 42,482 | permissive | [
{
"docstring": "Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer instance. If unspecified, the default namespace where completions are performed is __main__ (technically, __main__.__dict__). Namespaces should be given as dictionaries. An optional second nam... | 4 | null | Implement the Python class `Completer` described below.
Class description:
Implement the Completer class.
Method signatures and docstrings:
- def __init__(self, namespace=None, global_namespace=None, **kwargs): Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer ins... | Implement the Python class `Completer` described below.
Class description:
Implement the Completer class.
Method signatures and docstrings:
- def __init__(self, namespace=None, global_namespace=None, **kwargs): Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer ins... | f5042e35b945aded77b23470ead62d7eacefde92 | <|skeleton|>
class Completer:
def __init__(self, namespace=None, global_namespace=None, **kwargs):
"""Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer instance. If unspecified, the default namespace where completions are performed is __main__ (technica... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Completer:
def __init__(self, namespace=None, global_namespace=None, **kwargs):
"""Create a new completer for the command line. Completer(namespace=ns, global_namespace=ns2) -> completer instance. If unspecified, the default namespace where completions are performed is __main__ (technically, __main__.... | the_stack_v2_python_sparse | contrib/python/ipython/py2/IPython/core/completer.py | catboost/catboost | train | 8,012 | |
7c7471a52f98172edc9172da3e1782b9bfa80fc9 | [
"if not root:\n return []\ndata = []\nqueue = deque()\nqueue.append(root)\nwhile queue:\n node = queue.popleft()\n if not node:\n data.append('#')\n continue\n data.append(node.val)\n queue.append(node.left)\n queue.append(node.right)\nwhile data[-1] == '#':\n data.pop()\nreturn d... | <|body_start_0|>
if not root:
return []
data = []
queue = deque()
queue.append(root)
while queue:
node = queue.popleft()
if not node:
data.append('#')
continue
data.append(node.val)
queue.... | 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_36k_train_002014 | 1,914 | 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_015530 | 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:... | b75b06fa1551f5e4d8a559ef64e1ac29db79c083 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return []
data = []
queue = deque()
queue.append(root)
while queue:
node = queue.popleft()
if not node:
... | the_stack_v2_python_sparse | Python/297.py | arnabs542/Leetcode-38 | train | 0 | |
83f48c6325f84d5f3ee91a6ce30059010c9c5402 | [
"if count_tag in self.tagnames and self.length:\n return float(self.get(count_tag)) / (self.length - unit_length + 1)\nelse:\n return None",
"c = self.coverage(count_tag=count_tag, unit_length=unit_length)\nif c is None:\n self.try_get_length()\n raise gfapy.NotFoundError('Tag {} undefined for segment... | <|body_start_0|>
if count_tag in self.tagnames and self.length:
return float(self.get(count_tag)) / (self.length - unit_length + 1)
else:
return None
<|end_body_0|>
<|body_start_1|>
c = self.coverage(count_tag=count_tag, unit_length=unit_length)
if c is None:
... | Coverage | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters... | stack_v2_sparse_classes_36k_train_002015 | 1,226 | permissive | [
{
"docstring": "Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters: count_tag (str): integer tag from which the count shall be taken (defa... | 2 | stack_v2_sparse_classes_30k_train_016126 | Implement the Python class `Coverage` described below.
Class description:
Implement the Coverage class.
Method signatures and docstrings:
- def coverage(self, count_tag='RC', unit_length=1): Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), ... | Implement the Python class `Coverage` described below.
Class description:
Implement the Coverage class.
Method signatures and docstrings:
- def coverage(self, count_tag='RC', unit_length=1): Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), ... | 12b31daac26ab137b6ee4a29b4f14554ba962dcb | <|skeleton|>
class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Coverage:
def coverage(self, count_tag='RC', unit_length=1):
"""Compute the coverage from the value a count_tag (RC, KC or FC). If unit_length is provided then: count/(length-unit_length+1), otherwise: count/length. The latter is a good approximation if length >>> unit_length. Parameters: count_tag (s... | the_stack_v2_python_sparse | gfapy/line/segment/coverage.py | ggonnella/gfapy | train | 63 | |
03d427f92bf9b5b55d19e59fd55729241db995a1 | [
"excluded_ports = set(['TruePort', 'FalsePort', 'TrueOutputPorts', 'FalseOutputPorts'])\nfor port_name, connector_list in self.inputPorts.iteritems():\n if port_name not in excluded_ports:\n for connector in connector_list:\n connector.obj.update()\nfor port_name, connectorList in copy.copy(sel... | <|body_start_0|>
excluded_ports = set(['TruePort', 'FalsePort', 'TrueOutputPorts', 'FalseOutputPorts'])
for port_name, connector_list in self.inputPorts.iteritems():
if port_name not in excluded_ports:
for connector in connector_list:
connector.obj.update(... | The If Module alows the user to choose the part of the workflow to be executed through the use of a condition. | If | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class If:
"""The If Module alows the user to choose the part of the workflow to be executed through the use of a condition."""
def update_upstream(self):
"""A modified version of the update_upstream method."""
<|body_0|>
def compute(self):
"""The compute method for the... | stack_v2_sparse_classes_36k_train_002016 | 7,772 | permissive | [
{
"docstring": "A modified version of the update_upstream method.",
"name": "update_upstream",
"signature": "def update_upstream(self)"
},
{
"docstring": "The compute method for the If module.",
"name": "compute",
"signature": "def compute(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007030 | Implement the Python class `If` described below.
Class description:
The If Module alows the user to choose the part of the workflow to be executed through the use of a condition.
Method signatures and docstrings:
- def update_upstream(self): A modified version of the update_upstream method.
- def compute(self): The c... | Implement the Python class `If` described below.
Class description:
The If Module alows the user to choose the part of the workflow to be executed through the use of a condition.
Method signatures and docstrings:
- def update_upstream(self): A modified version of the update_upstream method.
- def compute(self): The c... | 93f1e5d375ee1e870f9bad699a22c9aafb954090 | <|skeleton|>
class If:
"""The If Module alows the user to choose the part of the workflow to be executed through the use of a condition."""
def update_upstream(self):
"""A modified version of the update_upstream method."""
<|body_0|>
def compute(self):
"""The compute method for the... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class If:
"""The If Module alows the user to choose the part of the workflow to be executed through the use of a condition."""
def update_upstream(self):
"""A modified version of the update_upstream method."""
excluded_ports = set(['TruePort', 'FalsePort', 'TrueOutputPorts', 'FalseOutputPorts']... | the_stack_v2_python_sparse | vistrails/packages/controlflow/conditional.py | alexmavr/VisTrails | train | 1 |
3f52819330afb8b9673a77a64adad90e525075a2 | [
"super().__init__()\nstate_dim = descript.get('state_dim')\naction_dim = descript.get('action_dim')\nself.fc2 = Sequential(Linear(state_dim, HIDDEN_SIZE), Linear(HIDDEN_SIZE, action_dim), Lambda(lambda x: softmax(x)))\nself.fc3 = Sequential(Linear(state_dim, HIDDEN_SIZE), Linear(HIDDEN_SIZE, 1))",
"outputs = []\n... | <|body_start_0|>
super().__init__()
state_dim = descript.get('state_dim')
action_dim = descript.get('action_dim')
self.fc2 = Sequential(Linear(state_dim, HIDDEN_SIZE), Linear(HIDDEN_SIZE, action_dim), Lambda(lambda x: softmax(x)))
self.fc3 = Sequential(Linear(state_dim, HIDDEN_SI... | Create DQN net with FineGrainedSpace. | ImpalaMlpNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImpalaMlpNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
<|body_0|>
def __call__(self, inputs):
"""Override compile function, conect models into a seq."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_002017 | 5,106 | permissive | [
{
"docstring": "Create layers.",
"name": "__init__",
"signature": "def __init__(self, **descript)"
},
{
"docstring": "Override compile function, conect models into a seq.",
"name": "__call__",
"signature": "def __call__(self, inputs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_011872 | Implement the Python class `ImpalaMlpNet` described below.
Class description:
Create DQN net with FineGrainedSpace.
Method signatures and docstrings:
- def __init__(self, **descript): Create layers.
- def __call__(self, inputs): Override compile function, conect models into a seq. | Implement the Python class `ImpalaMlpNet` described below.
Class description:
Create DQN net with FineGrainedSpace.
Method signatures and docstrings:
- def __init__(self, **descript): Create layers.
- def __call__(self, inputs): Override compile function, conect models into a seq.
<|skeleton|>
class ImpalaMlpNet:
... | e4ef3a1c92d19d1d08c3ef0e2156b6fecefdbe04 | <|skeleton|>
class ImpalaMlpNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
<|body_0|>
def __call__(self, inputs):
"""Override compile function, conect models into a seq."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ImpalaMlpNet:
"""Create DQN net with FineGrainedSpace."""
def __init__(self, **descript):
"""Create layers."""
super().__init__()
state_dim = descript.get('state_dim')
action_dim = descript.get('action_dim')
self.fc2 = Sequential(Linear(state_dim, HIDDEN_SIZE), Lin... | the_stack_v2_python_sparse | xt/model/impala/impala_mlp_zeus.py | huawei-noah/xingtian | train | 308 |
62b9c5a4aee2982a60f53f8d0ae5a22d75dfcd97 | [
"if target < nums[0]:\n return 0\nelif target > nums[-1]:\n return len(nums)\nelse:\n for index, num in enumerate(nums):\n if target == num:\n return index\n elif num < target < nums[index + 1]:\n return index + 1",
"left = 0\nright = len(nums)\nif target > nums[-1]:\n... | <|body_start_0|>
if target < nums[0]:
return 0
elif target > nums[-1]:
return len(nums)
else:
for index, num in enumerate(nums):
if target == num:
return index
elif num < target < nums[index + 1]:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def searchInsert_1(self, nums, target):
"""暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置"""
<|body_0|>
def searchInsert_2(self, nums, target):
"""看到已知数组是排序数组时，要立刻想到使用二分查找来解决。 首先确定搜索空间，返回的索引取值范围为[0, len(nums)] 因此left = 0, right = ... | stack_v2_sparse_classes_36k_train_002018 | 2,156 | no_license | [
{
"docstring": "暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置",
"name": "searchInsert_1",
"signature": "def searchInsert_1(self, nums, target)"
},
{
"docstring": "看到已知数组是排序数组时，要立刻想到使用二分查找来解决。 首先确定搜索空间，返回的索引取值范围为[0, len(nums)] 因此left = 0, right = len(nums) 再看空间收缩，因为当 n... | 2 | stack_v2_sparse_classes_30k_train_005474 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert_1(self, nums, target): 暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置
- def searchInsert_2(self, nums, target): 看到已知数组是排序数组时，要立刻想到使用二分... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def searchInsert_1(self, nums, target): 暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置
- def searchInsert_2(self, nums, target): 看到已知数组是排序数组时，要立刻想到使用二分... | 746d77e9bfbcb3877fefae9a915004b3bfbcc612 | <|skeleton|>
class Solution:
def searchInsert_1(self, nums, target):
"""暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置"""
<|body_0|>
def searchInsert_2(self, nums, target):
"""看到已知数组是排序数组时，要立刻想到使用二分查找来解决。 首先确定搜索空间，返回的索引取值范围为[0, len(nums)] 因此left = 0, right = ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def searchInsert_1(self, nums, target):
"""暴力法查找，一个一个比对 :param nums: 排序数组 :param target: 目标值 :return: 目标值插入排序数组的索引位置"""
if target < nums[0]:
return 0
elif target > nums[-1]:
return len(nums)
else:
for index, num in enumerate(nums):
... | the_stack_v2_python_sparse | LeetCode/Array/035.搜索插入位置.py | leilalu/algorithm | train | 0 | |
13a255bc4b33d9542506d49d00c577abeb81950c | [
"self.wan_enabled = wan_enabled\nself.using_static_ip = using_static_ip\nself.static_ip = static_ip\nself.static_gateway_ip = static_gateway_ip\nself.static_subnet_mask = static_subnet_mask\nself.static_dns = static_dns\nself.vlan = vlan",
"if dictionary is None:\n return None\nwan_enabled = dictionary.get('wa... | <|body_start_0|>
self.wan_enabled = wan_enabled
self.using_static_ip = using_static_ip
self.static_ip = static_ip
self.static_gateway_ip = static_gateway_ip
self.static_subnet_mask = static_subnet_mask
self.static_dns = static_dns
self.vlan = vlan
<|end_body_0|>
... | Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static_ip (bool): Configue the interface to have static IP settings or use DHCP. s... | Wan2Model | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Wan2Model:
"""Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static_ip (bool): Configue the interface to h... | stack_v2_sparse_classes_36k_train_002019 | 3,300 | permissive | [
{
"docstring": "Constructor for the Wan2Model class",
"name": "__init__",
"signature": "def __init__(self, wan_enabled=None, using_static_ip=None, static_ip=None, static_gateway_ip=None, static_subnet_mask=None, static_dns=None, vlan=None)"
},
{
"docstring": "Creates an instance of this model fr... | 2 | stack_v2_sparse_classes_30k_train_020137 | Implement the Python class `Wan2Model` described below.
Class description:
Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static... | Implement the Python class `Wan2Model` described below.
Class description:
Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class Wan2Model:
"""Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static_ip (bool): Configue the interface to h... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Wan2Model:
"""Implementation of the 'Wan2' model. WAN 2 settings (only for MX devices) Attributes: wan_enabled (WanEnabledEnum): Enable or disable the interface (only for MX devices). Valid values are 'enabled', 'disabled', and 'not configured'. using_static_ip (bool): Configue the interface to have static IP... | the_stack_v2_python_sparse | meraki_sdk/models/wan_2_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
05c5fe1fe2b74159c6c4a1de8c0207c866e8d42c | [
"if self.request.method in ['POST', 'PUT', 'DELETE', 'PATCH']:\n self.permission_classes = [Isauthenticatedstaff]\nelse:\n self.permission_classes = [IsAuthenticated]\nreturn super(InventoryViewset, self).get_permissions()",
"depth = self.request.query_params.get('depth', '')\nif depth != '' and depth != 'n... | <|body_start_0|>
if self.request.method in ['POST', 'PUT', 'DELETE', 'PATCH']:
self.permission_classes = [Isauthenticatedstaff]
else:
self.permission_classes = [IsAuthenticated]
return super(InventoryViewset, self).get_permissions()
<|end_body_0|>
<|body_start_1|>
... | InventoryViewset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InventoryViewset:
def get_permissions(self):
"""permissions based on the user logged-in :return: permission class"""
<|body_0|>
def list(self, request, *args, **kwargs):
"""Select the serealizer class used based on the depth query parameter provided in api call. :par... | stack_v2_sparse_classes_36k_train_002020 | 3,781 | no_license | [
{
"docstring": "permissions based on the user logged-in :return: permission class",
"name": "get_permissions",
"signature": "def get_permissions(self)"
},
{
"docstring": "Select the serealizer class used based on the depth query parameter provided in api call. :param request: :param args: :param... | 2 | stack_v2_sparse_classes_30k_train_018541 | Implement the Python class `InventoryViewset` described below.
Class description:
Implement the InventoryViewset class.
Method signatures and docstrings:
- def get_permissions(self): permissions based on the user logged-in :return: permission class
- def list(self, request, *args, **kwargs): Select the serealizer cla... | Implement the Python class `InventoryViewset` described below.
Class description:
Implement the InventoryViewset class.
Method signatures and docstrings:
- def get_permissions(self): permissions based on the user logged-in :return: permission class
- def list(self, request, *args, **kwargs): Select the serealizer cla... | 3d44394c69ae623a4a36ca8b11b6af2b0599dce7 | <|skeleton|>
class InventoryViewset:
def get_permissions(self):
"""permissions based on the user logged-in :return: permission class"""
<|body_0|>
def list(self, request, *args, **kwargs):
"""Select the serealizer class used based on the depth query parameter provided in api call. :par... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InventoryViewset:
def get_permissions(self):
"""permissions based on the user logged-in :return: permission class"""
if self.request.method in ['POST', 'PUT', 'DELETE', 'PATCH']:
self.permission_classes = [Isauthenticatedstaff]
else:
self.permission_classes = [I... | the_stack_v2_python_sparse | api/viewsets.py | sandeep-kaushik/bakery | train | 0 | |
666eae0f22e37a21f98c9589783fb151f5bfc436 | [
"self.batch_size = batch_size\nself.optimizer = optimizer\nself.loss = loss\nself.validation_split = validation_split\nself.max_sequence_length = max_sequence_length\nself.max_nb_words = max_nb_words\nself.embedding_dim = embedding_dim\nself.activation = activation\nModelNN.__init__(self, loss=loss, optimizer=optim... | <|body_start_0|>
self.batch_size = batch_size
self.optimizer = optimizer
self.loss = loss
self.validation_split = validation_split
self.max_sequence_length = max_sequence_length
self.max_nb_words = max_nb_words
self.embedding_dim = embedding_dim
self.activ... | BidirectionalLSTM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BidirectionalLSTM:
def __init__(self, loss='categorical_crossentropy', epochs=10, decay=1e-06, momentum=0.9, max_sequence_length=1000, max_nb_words=20000, embedding_dim=100, validation_split=0.2, optimizer='rmsprop', batch_size=32, activation='softmax', learning_rate=0.001, kernel_regularization... | stack_v2_sparse_classes_36k_train_002021 | 12,388 | no_license | [
{
"docstring": ":param loss: str, the name of the loss function :param epochs: int, the number of epochs :param decay: float, the decay :param momentum: float, momentum :param max_sequence_length: :param max_nb_words: :param embedding_dim: :param validation_split: float, the percentage of the validation split :... | 2 | stack_v2_sparse_classes_30k_val_001161 | Implement the Python class `BidirectionalLSTM` described below.
Class description:
Implement the BidirectionalLSTM class.
Method signatures and docstrings:
- def __init__(self, loss='categorical_crossentropy', epochs=10, decay=1e-06, momentum=0.9, max_sequence_length=1000, max_nb_words=20000, embedding_dim=100, valid... | Implement the Python class `BidirectionalLSTM` described below.
Class description:
Implement the BidirectionalLSTM class.
Method signatures and docstrings:
- def __init__(self, loss='categorical_crossentropy', epochs=10, decay=1e-06, momentum=0.9, max_sequence_length=1000, max_nb_words=20000, embedding_dim=100, valid... | bb2f1e350140c9d34865ed77f50d4475b515ea7b | <|skeleton|>
class BidirectionalLSTM:
def __init__(self, loss='categorical_crossentropy', epochs=10, decay=1e-06, momentum=0.9, max_sequence_length=1000, max_nb_words=20000, embedding_dim=100, validation_split=0.2, optimizer='rmsprop', batch_size=32, activation='softmax', learning_rate=0.001, kernel_regularization... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BidirectionalLSTM:
def __init__(self, loss='categorical_crossentropy', epochs=10, decay=1e-06, momentum=0.9, max_sequence_length=1000, max_nb_words=20000, embedding_dim=100, validation_split=0.2, optimizer='rmsprop', batch_size=32, activation='softmax', learning_rate=0.001, kernel_regularization_params=('l2',... | the_stack_v2_python_sparse | app/lstm.py | agromanou/text-classification-with-nn | train | 0 | |
fbea40680de29349759c2331af73f633b42a45b0 | [
"try:\n self.UDPlist = UDPlist_p\n self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)\n self.sock.bind(('', UDP_PORT))\n hasUDP = True\nexcept socket.error:\n hasUDP = False\n print('AHF_UDPTrig failed to create a socket.')",
"try:\n for address in self.UDPlist:\n self.sock.s... | <|body_start_0|>
try:
self.UDPlist = UDPlist_p
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.sock.bind(('', UDP_PORT))
hasUDP = True
except socket.error:
hasUDP = False
print('AHF_UDPTrig failed to create a socke... | Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install | AHF_UDPTrig | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AHF_UDPTrig:
"""Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install"""
def __init__(self, UDPlist_p):
"""Makes a new AHF_UDPtrig object using passed in list of ip addr... | stack_v2_sparse_classes_36k_train_002022 | 1,743 | no_license | [
{
"docstring": "Makes a new AHF_UDPtrig object using passed in list of ip addresses. stores UDPlist in the new object sets hasUDP to false if object creation fails because of network error, else True",
"name": "__init__",
"signature": "def __init__(self, UDPlist_p)"
},
{
"docstring": "Sends a UD... | 3 | stack_v2_sparse_classes_30k_train_021481 | Implement the Python class `AHF_UDPTrig` described below.
Class description:
Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install
Method signatures and docstrings:
- def __init__(self, UDPlist_p): Makes... | Implement the Python class `AHF_UDPTrig` described below.
Class description:
Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install
Method signatures and docstrings:
- def __init__(self, UDPlist_p): Makes... | a7fa58f47cfbb92de1f6c33d003bc290f1f37d86 | <|skeleton|>
class AHF_UDPTrig:
"""Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install"""
def __init__(self, UDPlist_p):
"""Makes a new AHF_UDPtrig object using passed in list of ip addr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AHF_UDPTrig:
"""Sends/receives UDP signals as to another pi to start/stop recording AHF_UDPTrig uses the socket module to do the UDP stuff, but it should be part of the default install"""
def __init__(self, UDPlist_p):
"""Makes a new AHF_UDPtrig object using passed in list of ip addresses. stores... | the_stack_v2_python_sparse | moreModules/AutoHeadFix/AHF_UDPTrig.py | ilangold/AutoHeadFix | train | 0 |
5c1013e627c60ad40ecce004b01713bd9fa2ac39 | [
"self.container = container\nself.dt = 0.001\nself.delta = 0.0\nself.sampling_period = sampling_period * self.dt\nself.previous_time = -self.sampling_period\nself.container.add(self, [0] * size_in)\nsuper(Servo, self).__init__(output=self.servo_output, size_in=1 if not size_in else size_in, label=label)",
"if tim... | <|body_start_0|>
self.container = container
self.dt = 0.001
self.delta = 0.0
self.sampling_period = sampling_period * self.dt
self.previous_time = -self.sampling_period
self.container.add(self, [0] * size_in)
super(Servo, self).__init__(output=self.servo_output, s... | Servo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Servo:
def __init__(self, container, size_in=None, label=None, sampling_period=15):
"""A motor is a type of node that sends live information back for processing. :param container: The object that receives information from the motor :type container: Container :param sampling_period: The p... | stack_v2_sparse_classes_36k_train_002023 | 2,039 | no_license | [
{
"docstring": "A motor is a type of node that sends live information back for processing. :param container: The object that receives information from the motor :type container: Container :param sampling_period: The period with which the motor sends information :type sampling_period: float or int :param dt: The... | 2 | stack_v2_sparse_classes_30k_train_004492 | Implement the Python class `Servo` described below.
Class description:
Implement the Servo class.
Method signatures and docstrings:
- def __init__(self, container, size_in=None, label=None, sampling_period=15): A motor is a type of node that sends live information back for processing. :param container: The object tha... | Implement the Python class `Servo` described below.
Class description:
Implement the Servo class.
Method signatures and docstrings:
- def __init__(self, container, size_in=None, label=None, sampling_period=15): A motor is a type of node that sends live information back for processing. :param container: The object tha... | 26e351308affcc9545562a4c9af1e2196a2b8739 | <|skeleton|>
class Servo:
def __init__(self, container, size_in=None, label=None, sampling_period=15):
"""A motor is a type of node that sends live information back for processing. :param container: The object that receives information from the motor :type container: Container :param sampling_period: The p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Servo:
def __init__(self, container, size_in=None, label=None, sampling_period=15):
"""A motor is a type of node that sends live information back for processing. :param container: The object that receives information from the motor :type container: Container :param sampling_period: The period with whi... | the_stack_v2_python_sparse | robot_models/servo.py | mahmoodalmansooei/AlanProject | train | 2 | |
9490492a4d93aa166c741ecd31c12a35e983daa0 | [
"seq = []\nif not root:\n return seq\nqueue = collections.deque([root])\nwhile queue:\n node = queue.popleft()\n if node:\n seq.append(node.val)\n queue.append(node.left)\n queue.append(node.right)\n else:\n seq.append(None)\nwhile seq[-1] is None:\n seq.pop()\nreturn seq"... | <|body_start_0|>
seq = []
if not root:
return seq
queue = collections.deque([root])
while queue:
node = queue.popleft()
if node:
seq.append(node.val)
queue.append(node.left)
queue.append(node.right)
... | 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_36k_train_002024 | 3,028 | 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_val_001144 | 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:... | 2acc25fd51ccd9bee6665ada2cd78613a2283cb5 | <|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_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
seq = []
if not root:
return seq
queue = collections.deque([root])
while queue:
node = queue.popleft()
if node:
... | the_stack_v2_python_sparse | serialize.py | Anewnoob/Leetcode | train | 1 | |
b8f78be36e80b18f38ff260de07d9748cec55b2b | [
"super().__init__()\nself.mode = mode\nif not isinstance(self.mode, FilterMode):\n raise ValueError(f'mode must be an instance of FilterMode: mode={mode}')\nself.py_name_set = set(py_name_set)\nself.exact_match = exact_match",
"if self.mode == FilterMode.INCLUDE:\n return py_name not in self.py_name_set\nel... | <|body_start_0|>
super().__init__()
self.mode = mode
if not isinstance(self.mode, FilterMode):
raise ValueError(f'mode must be an instance of FilterMode: mode={mode}')
self.py_name_set = set(py_name_set)
self.exact_match = exact_match
<|end_body_0|>
<|body_start_1|>
... | A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False) | PropertyTypeFilter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PropertyTypeFilter:
"""A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False)"""
def __init__(self, mode: FilterMode=FilterMode.EXCLUDE, py_name_set=None, exact_match=False):
... | stack_v2_sparse_classes_36k_train_002025 | 7,968 | permissive | [
{
"docstring": "Creates a `PropertyTypeFilter` instance Args: mode (FilterMode): the mode (include/exclude) for the filter instance. Defaults to EXCLUDE. py_name_set (set, optional): the default set of py_names to include or exclude. Defaults to None. exact_match (bool, optional): whether to use exact matching ... | 5 | null | Implement the Python class `PropertyTypeFilter` described below.
Class description:
A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False)
Method signatures and docstrings:
- def __init__(self, mode: Fi... | Implement the Python class `PropertyTypeFilter` described below.
Class description:
A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False)
Method signatures and docstrings:
- def __init__(self, mode: Fi... | bc6733d774fe31a23f4c7e73e5eb0beed8d30e7d | <|skeleton|>
class PropertyTypeFilter:
"""A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False)"""
def __init__(self, mode: FilterMode=FilterMode.EXCLUDE, py_name_set=None, exact_match=False):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PropertyTypeFilter:
"""A filter class for filtering based on property type py_names Example: .. code-block:: python filter = PropertyTypeFilter(include=['ge_freq', 'qscale'], exact_match=False)"""
def __init__(self, mode: FilterMode=FilterMode.EXCLUDE, py_name_set=None, exact_match=False):
"""Cre... | the_stack_v2_python_sparse | pycqed/utilities/devicedb/filters.py | QudevETH/PycQED_py3 | train | 8 |
78c75e530d06f1fa39c9474a4ea7f5e23c05278f | [
"super(Folder, self).__init__(resource_id=folder_id, resource_type=resource.ResourceType.FOLDER, name=name, display_name=display_name, parent=parent, lifecycle_state=lifecycle_state)\nself.full_name = full_name\nself.data = data",
"folder_dict = json.loads(json_string)\nname = folder_dict['name']\nfolder_id = nam... | <|body_start_0|>
super(Folder, self).__init__(resource_id=folder_id, resource_type=resource.ResourceType.FOLDER, name=name, display_name=display_name, parent=parent, lifecycle_state=lifecycle_state)
self.full_name = full_name
self.data = data
<|end_body_0|>
<|body_start_1|>
folder_dict ... | Folder Resource. | Folder | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Folder:
"""Folder Resource."""
def __init__(self, folder_id, full_name=None, data=None, name=None, display_name=None, parent=None, lifecycle_state=FolderLifecycleState.UNSPECIFIED):
"""Initialize. Args: folder_id (str): The folder id number. full_name (str): The full resource name an... | stack_v2_sparse_classes_36k_train_002026 | 2,960 | permissive | [
{
"docstring": "Initialize. Args: folder_id (str): The folder id number. full_name (str): The full resource name and ancestory. data (str): Resource representation of the folder. name (str): The folder unique GCP name, i.e. \"folders/{id}\". display_name (str): The folder display name. parent (Resource): The pa... | 2 | stack_v2_sparse_classes_30k_train_007531 | Implement the Python class `Folder` described below.
Class description:
Folder Resource.
Method signatures and docstrings:
- def __init__(self, folder_id, full_name=None, data=None, name=None, display_name=None, parent=None, lifecycle_state=FolderLifecycleState.UNSPECIFIED): Initialize. Args: folder_id (str): The fol... | Implement the Python class `Folder` described below.
Class description:
Folder Resource.
Method signatures and docstrings:
- def __init__(self, folder_id, full_name=None, data=None, name=None, display_name=None, parent=None, lifecycle_state=FolderLifecycleState.UNSPECIFIED): Initialize. Args: folder_id (str): The fol... | d4421afa50a17ed47cbebe942044ebab3720e0f5 | <|skeleton|>
class Folder:
"""Folder Resource."""
def __init__(self, folder_id, full_name=None, data=None, name=None, display_name=None, parent=None, lifecycle_state=FolderLifecycleState.UNSPECIFIED):
"""Initialize. Args: folder_id (str): The folder id number. full_name (str): The full resource name an... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Folder:
"""Folder Resource."""
def __init__(self, folder_id, full_name=None, data=None, name=None, display_name=None, parent=None, lifecycle_state=FolderLifecycleState.UNSPECIFIED):
"""Initialize. Args: folder_id (str): The folder id number. full_name (str): The full resource name and ancestory. ... | the_stack_v2_python_sparse | google/cloud/forseti/common/gcp_type/folder.py | kevensen/forseti-security | train | 1 |
406a695068149c4bc87f611bf748e9c2fcabd7cc | [
"tmp = self.head.next\nself.head.next = node\nnode.prev = self.head\nnode.next = tmp\ntmp.prev = node",
"node.prev.next = node.next\nnode.next.prev = node.prev\nnode.prev = node.next = None",
"self.cap = capacity\nself.cnt = 0\nself.key_to_node = {}\nself.head = Node(None, None)\nself.tail = Node(None, None)\ns... | <|body_start_0|>
tmp = self.head.next
self.head.next = node
node.prev = self.head
node.next = tmp
tmp.prev = node
<|end_body_0|>
<|body_start_1|>
node.prev.next = node.next
node.next.prev = node.prev
node.prev = node.next = None
<|end_body_1|>
<|body_sta... | Wrong. | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
"""Wrong."""
def addNode(self, node):
"""Add a node after head of the list"""
<|body_0|>
def removeNode(self, node):
"""Remove a node from the list"""
<|body_1|>
def __init__(self, capacity):
""":type capacity: int"""
<|body... | stack_v2_sparse_classes_36k_train_002027 | 9,208 | no_license | [
{
"docstring": "Add a node after head of the list",
"name": "addNode",
"signature": "def addNode(self, node)"
},
{
"docstring": "Remove a node from the list",
"name": "removeNode",
"signature": "def removeNode(self, node)"
},
{
"docstring": ":type capacity: int",
"name": "__i... | 5 | stack_v2_sparse_classes_30k_train_015125 | Implement the Python class `LRUCache` described below.
Class description:
Wrong.
Method signatures and docstrings:
- def addNode(self, node): Add a node after head of the list
- def removeNode(self, node): Remove a node from the list
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: in... | Implement the Python class `LRUCache` described below.
Class description:
Wrong.
Method signatures and docstrings:
- def addNode(self, node): Add a node after head of the list
- def removeNode(self, node): Remove a node from the list
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :rtype: in... | d634941087bc51869f43c0d8044db09b7bdbaf58 | <|skeleton|>
class LRUCache:
"""Wrong."""
def addNode(self, node):
"""Add a node after head of the list"""
<|body_0|>
def removeNode(self, node):
"""Remove a node from the list"""
<|body_1|>
def __init__(self, capacity):
""":type capacity: int"""
<|body... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LRUCache:
"""Wrong."""
def addNode(self, node):
"""Add a node after head of the list"""
tmp = self.head.next
self.head.next = node
node.prev = self.head
node.next = tmp
tmp.prev = node
def removeNode(self, node):
"""Remove a node from the list"... | the_stack_v2_python_sparse | 146_LRU_Cache.py | susunini/leetcode | train | 1 |
31a4a54a697d9c5e417451437c460ba6f668ded2 | [
"concept_parsers.ConceptParser.ForResource('TRIGGER', resource_args.GetTriggerResourceSpec(), 'Build Trigger.', required=True).AddToParser(parser)\nflag_config = trigger_utils.AddTriggerArgs(parser, add_region_flag=False, add_name=False)\nflag_config.add_argument('--secret', help=textwrap.dedent('\\n The... | <|body_start_0|>
concept_parsers.ConceptParser.ForResource('TRIGGER', resource_args.GetTriggerResourceSpec(), 'Build Trigger.', required=True).AddToParser(parser)
flag_config = trigger_utils.AddTriggerArgs(parser, add_region_flag=False, add_name=False)
flag_config.add_argument('--secret', help=t... | Update a Webhook trigger used by Google Cloud Build. | UpdateWebhook | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateWebhook:
"""Update a Webhook trigger used by Google Cloud Build."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
... | stack_v2_sparse_classes_36k_train_002028 | 5,691 | permissive | [
{
"docstring": "Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring": "Parses arguments into a build tri... | 3 | stack_v2_sparse_classes_30k_train_006684 | Implement the Python class `UpdateWebhook` described below.
Class description:
Update a Webhook trigger used by Google Cloud Build.
Method signatures and docstrings:
- def Args(parser): Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some inf... | Implement the Python class `UpdateWebhook` described below.
Class description:
Update a Webhook trigger used by Google Cloud Build.
Method signatures and docstrings:
- def Args(parser): Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some inf... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class UpdateWebhook:
"""Update a Webhook trigger used by Google Cloud Build."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateWebhook:
"""Update a Webhook trigger used by Google Cloud Build."""
def Args(parser):
"""Register flags for this command. Args: parser: An argparse.ArgumentParser-like object. It is mocked out in order to capture some information, but behaves like an ArgumentParser."""
concept_parse... | the_stack_v2_python_sparse | lib/surface/builds/triggers/update/webhook.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
9ad570bb3049eee54587fea56159524348a5dad5 | [
"if k >= len(nums):\n k %= len(nums)\nif k == 0:\n return\nloop = -1\ni = 0\nbefore = nums[0]\ncount = 1\nbound = len(nums) - k\nwhile count <= len(nums):\n if loop == -1:\n loop = i\n elif i == loop:\n i += 1\n before = nums[i]\n loop = -1\n continue\n to = i - bou... | <|body_start_0|>
if k >= len(nums):
k %= len(nums)
if k == 0:
return
loop = -1
i = 0
before = nums[0]
count = 1
bound = len(nums) - k
while count <= len(nums):
if loop == -1:
loop = i
elif i =... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def rotates(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def rotate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify n... | stack_v2_sparse_classes_36k_train_002029 | 2,166 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.",
"name": "rotates",
"signature": "def rotates(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place ins... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotates(self, nums, k): :type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.
- def rotate(self, nums, k): :type nums: List[in... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def rotates(self, nums, k): :type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead.
- def rotate(self, nums, k): :type nums: List[in... | 0743cbeb0e9aa4a8a25f4520a1e3f92793fae1ee | <|skeleton|>
class Solution:
def rotates(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
<|body_0|>
def rotate(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify n... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def rotates(self, nums, k):
""":type nums: List[int] :type k: int :rtype: void Do not return anything, modify nums in-place instead."""
if k >= len(nums):
k %= len(nums)
if k == 0:
return
loop = -1
i = 0
before = nums[0]
... | the_stack_v2_python_sparse | practice/leetcode/algorithm/189_RotateArray.py | aliceayres/leetcode-practice | train | 0 | |
a52af499ea9b595160cdbfeee615c6064df45520 | [
"assert isinstance(cookie_jar, CookieJar)\ncookie_jar.__class__ = cls\nassert isinstance(cookie_jar, PickleableCookieJar)\nreturn cookie_jar",
"state = self.__dict__.copy()\nstate.pop('_cookies_lock')\nreturn state",
"self.__dict__.update(state)\nif '_cookies_lock' not in self.__dict__:\n self._cookies_lock ... | <|body_start_0|>
assert isinstance(cookie_jar, CookieJar)
cookie_jar.__class__ = cls
assert isinstance(cookie_jar, PickleableCookieJar)
return cookie_jar
<|end_body_0|>
<|body_start_1|>
state = self.__dict__.copy()
state.pop('_cookies_lock')
return state
<|end_bo... | A pickleable CookieJar class | PickleableCookieJar | [
"LicenseRef-scancode-warranty-disclaimer",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PickleableCookieJar:
"""A pickleable CookieJar class"""
def cast(cls, cookie_jar: CookieJar):
"""Make a kind of cast to convert the class from CookieJar to PickleableCookieJar"""
<|body_0|>
def __getstate__(self):
"""Unlike a normal CookieJar, this class is pickl... | stack_v2_sparse_classes_36k_train_002030 | 4,220 | permissive | [
{
"docstring": "Make a kind of cast to convert the class from CookieJar to PickleableCookieJar",
"name": "cast",
"signature": "def cast(cls, cookie_jar: CookieJar)"
},
{
"docstring": "Unlike a normal CookieJar, this class is pickleable.",
"name": "__getstate__",
"signature": "def __getst... | 3 | stack_v2_sparse_classes_30k_train_000978 | Implement the Python class `PickleableCookieJar` described below.
Class description:
A pickleable CookieJar class
Method signatures and docstrings:
- def cast(cls, cookie_jar: CookieJar): Make a kind of cast to convert the class from CookieJar to PickleableCookieJar
- def __getstate__(self): Unlike a normal CookieJar... | Implement the Python class `PickleableCookieJar` described below.
Class description:
A pickleable CookieJar class
Method signatures and docstrings:
- def cast(cls, cookie_jar: CookieJar): Make a kind of cast to convert the class from CookieJar to PickleableCookieJar
- def __getstate__(self): Unlike a normal CookieJar... | ece10d24449faaccd7d65a4093c6b5679ee0b383 | <|skeleton|>
class PickleableCookieJar:
"""A pickleable CookieJar class"""
def cast(cls, cookie_jar: CookieJar):
"""Make a kind of cast to convert the class from CookieJar to PickleableCookieJar"""
<|body_0|>
def __getstate__(self):
"""Unlike a normal CookieJar, this class is pickl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PickleableCookieJar:
"""A pickleable CookieJar class"""
def cast(cls, cookie_jar: CookieJar):
"""Make a kind of cast to convert the class from CookieJar to PickleableCookieJar"""
assert isinstance(cookie_jar, CookieJar)
cookie_jar.__class__ = cls
assert isinstance(cookie_j... | the_stack_v2_python_sparse | resources/lib/utils/cookies.py | CastagnaIT/plugin.video.netflix | train | 2,019 |
70cd8bfedc35afc1d79db5e2748d10e634c70261 | [
"if self.get_argument('type', None) == 'province':\n ret = {'status': True, 'rows': '', 'summary': ''}\n try:\n province_id = self.get_argument('province_id', None)\n if not province_id:\n ret['status'] = False\n ret['summary'] = '请指定省份ID'\n else:\n region... | <|body_start_0|>
if self.get_argument('type', None) == 'province':
ret = {'status': True, 'rows': '', 'summary': ''}
try:
province_id = self.get_argument('province_id', None)
if not province_id:
ret['status'] = False
... | CityHandler | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CityHandler:
def get(self, *args, **kwargs):
"""获取 :param args: :param kwargs: :return:"""
<|body_0|>
def post(self, *args, **kwargs):
"""添加 :param args: :param kwargs: :return:"""
<|body_1|>
def put(self, *args, **kwargs):
"""更新 :param args: :pa... | stack_v2_sparse_classes_36k_train_002031 | 13,334 | no_license | [
{
"docstring": "获取 :param args: :param kwargs: :return:",
"name": "get",
"signature": "def get(self, *args, **kwargs)"
},
{
"docstring": "添加 :param args: :param kwargs: :return:",
"name": "post",
"signature": "def post(self, *args, **kwargs)"
},
{
"docstring": "更新 :param args: :p... | 4 | stack_v2_sparse_classes_30k_train_016186 | Implement the Python class `CityHandler` described below.
Class description:
Implement the CityHandler class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): 获取 :param args: :param kwargs: :return:
- def post(self, *args, **kwargs): 添加 :param args: :param kwargs: :return:
- def put(self, *args, **... | Implement the Python class `CityHandler` described below.
Class description:
Implement the CityHandler class.
Method signatures and docstrings:
- def get(self, *args, **kwargs): 获取 :param args: :param kwargs: :return:
- def post(self, *args, **kwargs): 添加 :param args: :param kwargs: :return:
- def put(self, *args, **... | 0056d8edb9b8912e28b0332b3202e8a8d50f7157 | <|skeleton|>
class CityHandler:
def get(self, *args, **kwargs):
"""获取 :param args: :param kwargs: :return:"""
<|body_0|>
def post(self, *args, **kwargs):
"""添加 :param args: :param kwargs: :return:"""
<|body_1|>
def put(self, *args, **kwargs):
"""更新 :param args: :pa... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CityHandler:
def get(self, *args, **kwargs):
"""获取 :param args: :param kwargs: :return:"""
if self.get_argument('type', None) == 'province':
ret = {'status': True, 'rows': '', 'summary': ''}
try:
province_id = self.get_argument('province_id', None)
... | the_stack_v2_python_sparse | UIAdmin/Controllers/Region.py | kevin-light/Jd-shop | train | 0 | |
7efa5bb83fd69ad14e01cb8b6c9da0685b879b3c | [
"self.maxiter = maxiter\nself.minimize = minimize\nself.n_window = n_window\nself.rel_tol = rel_tol\nself.iter = 0\nweights = torch.exp(torch.linspace(-eta, 0, self.n_window))\nself.weights = weights / weights.sum()\nself._prev_fvals = None",
"self.iter += 1\nif self.iter == self.maxiter:\n return True\nif sel... | <|body_start_0|>
self.maxiter = maxiter
self.minimize = minimize
self.n_window = n_window
self.rel_tol = rel_tol
self.iter = 0
weights = torch.exp(torch.linspace(-eta, 0, self.n_window))
self.weights = weights / weights.sum()
self._prev_fvals = None
<|end_... | Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided tolerance level. That is, in iteration `i`, it computes v[i,j] := fvals[i - n_window + j] *... | ExpMAStoppingCriterion | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExpMAStoppingCriterion:
"""Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided tolerance level. That is, in iteration `i... | stack_v2_sparse_classes_36k_train_002032 | 4,405 | permissive | [
{
"docstring": "Exponential moving average stopping criterion. Args: maxiter: Maximum number of iterations. minimize: If True, assume minimization. n_window: The size of the exponential moving average window. eta: The exponential decay factor in the weights. rel_tol: Relative tolerance for termination.",
"n... | 2 | stack_v2_sparse_classes_30k_train_006990 | Implement the Python class `ExpMAStoppingCriterion` described below.
Class description:
Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided to... | Implement the Python class `ExpMAStoppingCriterion` described below.
Class description:
Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided to... | 4cc5ed59b2e8a9c780f786830c548e05cc74d53c | <|skeleton|>
class ExpMAStoppingCriterion:
"""Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided tolerance level. That is, in iteration `i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExpMAStoppingCriterion:
"""Exponential moving average stopping criterion. Computes an exponentially weighted moving average over window length `n_window` and checks whether the relative decrease in this moving average between steps is less than a provided tolerance level. That is, in iteration `i`, it compute... | the_stack_v2_python_sparse | botorch/optim/stopping.py | pytorch/botorch | train | 2,891 |
d04f8c7567ed1fa112a167716d8d904bf523f6d8 | [
"for audio in self.audio_providers:\n if audio.play(word, language, repeat):\n return True\nreturn False",
"for audio in self.audio_providers:\n if audio.has(word, language):\n return True\nreturn False"
] | <|body_start_0|>
for audio in self.audio_providers:
if audio.play(word, language, repeat):
return True
return False
<|end_body_0|>
<|body_start_1|>
for audio in self.audio_providers:
if audio.has(word, language):
return True
return... | Collection of audio providers. | AudioCollection | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AudioCollection:
"""Collection of audio providers."""
def play(self, word: str, language: Language, repeat: int=1) -> bool:
"""Voice the word."""
<|body_0|>
def has(self, word: str, language: Language) -> bool:
"""Voice the word."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k_train_002033 | 5,555 | permissive | [
{
"docstring": "Voice the word.",
"name": "play",
"signature": "def play(self, word: str, language: Language, repeat: int=1) -> bool"
},
{
"docstring": "Voice the word.",
"name": "has",
"signature": "def has(self, word: str, language: Language) -> bool"
}
] | 2 | stack_v2_sparse_classes_30k_train_015457 | Implement the Python class `AudioCollection` described below.
Class description:
Collection of audio providers.
Method signatures and docstrings:
- def play(self, word: str, language: Language, repeat: int=1) -> bool: Voice the word.
- def has(self, word: str, language: Language) -> bool: Voice the word. | Implement the Python class `AudioCollection` described below.
Class description:
Collection of audio providers.
Method signatures and docstrings:
- def play(self, word: str, language: Language, repeat: int=1) -> bool: Voice the word.
- def has(self, word: str, language: Language) -> bool: Voice the word.
<|skeleton|... | 4c840c0745d31eceb5b916101358d5207c0a1823 | <|skeleton|>
class AudioCollection:
"""Collection of audio providers."""
def play(self, word: str, language: Language, repeat: int=1) -> bool:
"""Voice the word."""
<|body_0|>
def has(self, word: str, language: Language) -> bool:
"""Voice the word."""
<|body_1|>
<|end_skel... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AudioCollection:
"""Collection of audio providers."""
def play(self, word: str, language: Language, repeat: int=1) -> bool:
"""Voice the word."""
for audio in self.audio_providers:
if audio.play(word, language, repeat):
return True
return False
def... | the_stack_v2_python_sparse | emmio/audio/core.py | enzet/Emmio | train | 8 |
9b92c65a94e83060a3c9d507e8a1ac682f0c1289 | [
"LDC_Info.__init__(self)\nself.setTitle(self.name)\nself.status = compat_res[0]\nui = Ui_WebcamFrame()\nui.setupUi(self.frame)\nself.__fill_frame(ui, info_res, compat_res, diag_res)",
"ui.productLineEdit.setText(QtGui.QApplication.translate('WebcamFrame', info_res.product, None, QtGui.QApplication.UnicodeUTF8))\n... | <|body_start_0|>
LDC_Info.__init__(self)
self.setTitle(self.name)
self.status = compat_res[0]
ui = Ui_WebcamFrame()
ui.setupUi(self.frame)
self.__fill_frame(ui, info_res, compat_res, diag_res)
<|end_body_0|>
<|body_start_1|>
ui.productLineEdit.setText(QtGui.QAppl... | Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede. | GUIWebcam | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GUIWebcam:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResWebcam) compat_... | stack_v2_sparse_classes_36k_train_002034 | 2,304 | no_license | [
{
"docstring": "Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResWebcam) compat_res -- Lista com as tuples de resultados de compatibilidade [(True, msg)] diag_res -- Lista com os resultados do diagn�stico (lista de 'DaigResWebcam')",
"name": "__init__",
"signatur... | 2 | null | Implement the Python class `GUIWebcam` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com os ... | Implement the Python class `GUIWebcam` described below.
Class description:
Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede.
Method signatures and docstrings:
- def __init__(self, info_res, compat_res, diag_res): Construtor Parâmetros: info_res -- lista com os ... | bda0c2c8977dd1246339f1f0f4718d29e8795f21 | <|skeleton|>
class GUIWebcam:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResWebcam) compat_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GUIWebcam:
"""Estende a classe 'LDC_Info'. Classe que define a interface gráfica com os resultados para o teste de rede."""
def __init__(self, info_res, compat_res, diag_res):
"""Construtor Parâmetros: info_res -- lista com os resultados informativos (lista de 'InfoResWebcam) compat_res -- Lista ... | the_stack_v2_python_sparse | src/libs/webcam/gui_webcam.py | adrianomelo/ldc-desktop | train | 1 |
dd505beeab289a88129187e103c67ad510c5a85f | [
"if path is None:\n outpath = os.path.dirname(os.path.abspath(configfile))\nelse:\n outpath = path\nself.config = Configuration(configfile, outpath=path)\nself.pixel = pixel\nself.nside = nside",
"if not self.config.galfile_pixelized:\n raise ValueError('Code only runs with pixelized galfile.')\nself.con... | <|body_start_0|>
if path is None:
outpath = os.path.dirname(os.path.abspath(configfile))
else:
outpath = path
self.config = Configuration(configfile, outpath=path)
self.pixel = pixel
self.nside = nside
<|end_body_0|>
<|body_start_1|>
if not self.c... | Class to run richness computation (runcat) on a single healpix pixel, for distributed runs. | RuncatPixelTask | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuncatPixelTask:
"""Class to run richness computation (runcat) on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RuncatPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `i... | stack_v2_sparse_classes_36k_train_002035 | 10,033 | permissive | [
{
"docstring": "Instantiate a RuncatPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int` Healpix pixel to run on. nside: `int` Healpix nside associated with pixel. path: `str`, optional Output path. Default is None, use same absolute path as configfile. percolation_maskin... | 2 | stack_v2_sparse_classes_30k_train_019038 | Implement the Python class `RuncatPixelTask` described below.
Class description:
Class to run richness computation (runcat) on a single healpix pixel, for distributed runs.
Method signatures and docstrings:
- def __init__(self, configfile, pixel, nside, path=None): Instantiate a RuncatPixelTask. Parameters ----------... | Implement the Python class `RuncatPixelTask` described below.
Class description:
Class to run richness computation (runcat) on a single healpix pixel, for distributed runs.
Method signatures and docstrings:
- def __init__(self, configfile, pixel, nside, path=None): Instantiate a RuncatPixelTask. Parameters ----------... | d3a8b432c2f3a20aa518a7781c0f2aa315624855 | <|skeleton|>
class RuncatPixelTask:
"""Class to run richness computation (runcat) on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RuncatPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RuncatPixelTask:
"""Class to run richness computation (runcat) on a single healpix pixel, for distributed runs."""
def __init__(self, configfile, pixel, nside, path=None):
"""Instantiate a RuncatPixelTask. Parameters ---------- configfile: `str` Configuration yaml filename. pixel: `int` Healpix p... | the_stack_v2_python_sparse | redmapper/pipeline/redmappertask.py | erykoff/redmapper | train | 20 |
a7e9bccb4b45d7b4798815cece15639e206a52cd | [
"PeakDetector.__init__(self, recording, return_output=return_output)\nself.peak_detector_node = peak_detector_node\nself.waveform_extraction_node = waveform_extraction_node\nself.waveform_denoising_node = waveform_denoising_node\nself.num_iterations = num_iterations\nself.tresholds = tresholds",
"internal_pipelin... | <|body_start_0|>
PeakDetector.__init__(self, recording, return_output=return_output)
self.peak_detector_node = peak_detector_node
self.waveform_extraction_node = waveform_extraction_node
self.waveform_denoising_node = waveform_denoising_node
self.num_iterations = num_iterations
... | A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found. | IterativePeakDetector | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IterativePeakDetector:
"""A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found."""
def __init__(self, recording: BaseRecording... | stack_v2_sparse_classes_36k_train_002036 | 40,308 | permissive | [
{
"docstring": "Initialize the iterative peak detector. Parameters ---------- recording : BaseRecording The recording to process. peak_detector_node : PeakDetector The peak detector node to use. waveform_extraction_node : WaveformsNode The waveform extraction node to use. waveform_denoising_node The waveform de... | 5 | stack_v2_sparse_classes_30k_train_002913 | Implement the Python class `IterativePeakDetector` described below.
Class description:
A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found.
Method sign... | Implement the Python class `IterativePeakDetector` described below.
Class description:
A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found.
Method sign... | ee2237b3f5ce2347b2ec9df90e97b0ee6c738dcf | <|skeleton|>
class IterativePeakDetector:
"""A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found."""
def __init__(self, recording: BaseRecording... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IterativePeakDetector:
"""A class that iteratively detects peaks in the recording by applying a peak detector, waveform extraction, and waveform denoising node. The algorithm runs for a specified number of iterations or until no peaks are found."""
def __init__(self, recording: BaseRecording, peak_detect... | the_stack_v2_python_sparse | src/spikeinterface/sortingcomponents/peak_detection.py | SpikeInterface/spikeinterface | train | 295 |
b22618703aba4b31e3d62597b3628b4c49479e23 | [
"pg.ModellingBase.__init__(self, verbose)\nself.f_ = f\nself.setMesh(pg.createMesh1D(1, 6))",
"spec1 = ColeCole(self.f_, 1.0, par[0], par[1], par[2])\nspec2 = ColeCole(self.f_, 1.0, par[3], par[4], par[5])\nreturn -np.angle(spec1 * spec2)"
] | <|body_start_0|>
pg.ModellingBase.__init__(self, verbose)
self.f_ = f
self.setMesh(pg.createMesh1D(1, 6))
<|end_body_0|>
<|body_start_1|>
spec1 = ColeCole(self.f_, 1.0, par[0], par[1], par[2])
spec2 = ColeCole(self.f_, 1.0, par[3], par[4], par[5])
return -np.angle(spec1 ... | Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelton et al. (1978) :cite:`PeltonWarHal1978` * :math:`\\textbf{m} =\\{ m_1, \\tau_1, c_1... | DoubleColeColePhi | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DoubleColeColePhi:
"""Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelton et al. (1978) :cite:`PeltonWarHal1978... | stack_v2_sparse_classes_36k_train_002037 | 11,407 | permissive | [
{
"docstring": "Setup class by specifying the frequency.",
"name": "__init__",
"signature": "def __init__(self, f, verbose=False)"
},
{
"docstring": "phase angle of the model",
"name": "response",
"signature": "def response(self, par)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021351 | Implement the Python class `DoubleColeColePhi` described below.
Class description:
Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelto... | Implement the Python class `DoubleColeColePhi` described below.
Class description:
Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelto... | 9962fe882fad284e52858ba3aa5e87b2395d791d | <|skeleton|>
class DoubleColeColePhi:
"""Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelton et al. (1978) :cite:`PeltonWarHal1978... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DoubleColeColePhi:
"""Double Cole-Cole model with EM term after Pelton et al. (1978) Modelling operator for the Frequency Domain :py:mod:`Cole-Cole <pygimli.physics.SIP.ColeColeRho>` impedance model using :py:mod:`pygimli.physics.SIP.ColeColeRho` after Pelton et al. (1978) :cite:`PeltonWarHal1978` * :math:`\\... | the_stack_v2_python_sparse | python/pygimli/physics/SIP/models.py | Geophysics-OpenSource/gimli | train | 0 |
912c977ab1136937807f5b515b80fb20c42ac2ce | [
"self.filename = filename\ninput_file = open(self.filename, 'r')\nself.data = input_file.readlines()\ninput_file.close()\nself.line_no = 0",
"line = self.data[self.line_no]\nself.line_no += 1\nwhile line.startswith('#') or line.startswith('%'):\n line = self.data[self.line_no]\n self.line_no += 1\ncomment_m... | <|body_start_0|>
self.filename = filename
input_file = open(self.filename, 'r')
self.data = input_file.readlines()
input_file.close()
self.line_no = 0
<|end_body_0|>
<|body_start_1|>
line = self.data[self.line_no]
self.line_no += 1
while line.startswith('... | This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method. | OptFile | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
... | stack_v2_sparse_classes_36k_train_002038 | 1,306 | permissive | [
{
"docstring": "This function reads the option file pointed by filename.",
"name": "__init__",
"signature": "def __init__(self, filename)"
},
{
"docstring": "This function returns the next option we read from the option file.",
"name": "get_next_option",
"signature": "def get_next_option... | 2 | stack_v2_sparse_classes_30k_train_006022 | Implement the Python class `OptFile` described below.
Class description:
This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method.
Method signatures and docstrings:
- def __init__(self, filename): This fun... | Implement the Python class `OptFile` described below.
Class description:
This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method.
Method signatures and docstrings:
- def __init__(self, filename): This fun... | bc0cce2378aa071a5537d25c1a738e58ef610561 | <|skeleton|>
class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OptFile:
"""This class is used to open and read an option file. It stores the information locally and returns each option individually, after each call to its get_next_option method."""
def __init__(self, filename):
"""This function reads the option file pointed by filename."""
self.filen... | the_stack_v2_python_sparse | bbp/comps/optfile.py | alborzgh/bbp | train | 0 |
a982cbd211dae5a7d528a9748bebafcaeaa9e6a1 | [
"self.debug = debug\nself.rs_pin = rs_pin\nself.en_pin = en_pin\nself.pins = pins\nGPIO.setmode(GPIO.BCM)\nif not self.debug:\n GPIO.setwarnings(False)\nGPIO.setup(self.en_pin, GPIO.OUT)\nGPIO.setup(self.rs_pin, GPIO.OUT)\nfor pin in self.pins:\n GPIO.setup(pin, GPIO.OUT)\nHD44780.__init__(self, debug=self.de... | <|body_start_0|>
self.debug = debug
self.rs_pin = rs_pin
self.en_pin = en_pin
self.pins = pins
GPIO.setmode(GPIO.BCM)
if not self.debug:
GPIO.setwarnings(False)
GPIO.setup(self.en_pin, GPIO.OUT)
GPIO.setup(self.rs_pin, GPIO.OUT)
for pin... | Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight. | Screen | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Screen:
"""Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight."""
def __init__(self, pins=[], rs_pin=None, en_pin=None, debug=False, **kwargs):
"""Initializes the GPIO-driven HD44780 display A... | stack_v2_sparse_classes_36k_train_002039 | 3,397 | permissive | [
{
"docstring": "Initializes the GPIO-driven HD44780 display All GPIOs passed as arguments will be used with BCM mapping. Kwargs: * ``pins``: list of GPIO pins for driving display data bits in format [DB4, DB5, DB6, DB7] * ``en_pin``: EN pin GPIO number. Please, make sure it's pulled down to GND (10K is OK). Oth... | 3 | stack_v2_sparse_classes_30k_train_014692 | Implement the Python class `Screen` described below.
Class description:
Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight.
Method signatures and docstrings:
- def __init__(self, pins=[], rs_pin=None, en_pin=None, debug=False,... | Implement the Python class `Screen` described below.
Class description:
Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight.
Method signatures and docstrings:
- def __init__(self, pins=[], rs_pin=None, en_pin=None, debug=False,... | 47f24116ebe3d9f7336431c20bde880d2e86793e | <|skeleton|>
class Screen:
"""Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight."""
def __init__(self, pins=[], rs_pin=None, en_pin=None, debug=False, **kwargs):
"""Initializes the GPIO-driven HD44780 display A... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Screen:
"""Driver for using HD44780 displays connected to Raspberry Pi GPIO. Presumes the R/W line is tied to ground. Also, doesn't yet control backlight."""
def __init__(self, pins=[], rs_pin=None, en_pin=None, debug=False, **kwargs):
"""Initializes the GPIO-driven HD44780 display All GPIOs pass... | the_stack_v2_python_sparse | output/drivers/pi_gpio.py | samkaufman01/pyLCI | train | 1 |
9560df8d682e74236f2be5d7fe56ba6b9721ef22 | [
"self.shipping_addr = shipping_addr\nif not shipping_addr:\n self.name = '{} (rated after address entered)'.format(self.name)",
"if not self.shipping_addr or not basket.all_lines():\n return prices.Price(currency=basket.currency, excl_tax=D(0), incl_tax=D(0))\nups_settings = models.UPSSettings.get_settings(... | <|body_start_0|>
self.shipping_addr = shipping_addr
if not shipping_addr:
self.name = '{} (rated after address entered)'.format(self.name)
<|end_body_0|>
<|body_start_1|>
if not self.shipping_addr or not basket.all_lines():
return prices.Price(currency=basket.currency, e... | Provide a method of standard UPS ground shipping | DomesticShipping | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DomesticShipping:
"""Provide a method of standard UPS ground shipping"""
def __init__(self, shipping_addr=None):
"""Quickly init the default box, and save the shipping address"""
<|body_0|>
def calculate(self, basket):
"""Get a rate for this package from UPS"""
... | stack_v2_sparse_classes_36k_train_002040 | 3,718 | no_license | [
{
"docstring": "Quickly init the default box, and save the shipping address",
"name": "__init__",
"signature": "def __init__(self, shipping_addr=None)"
},
{
"docstring": "Get a rate for this package from UPS",
"name": "calculate",
"signature": "def calculate(self, basket)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007402 | Implement the Python class `DomesticShipping` described below.
Class description:
Provide a method of standard UPS ground shipping
Method signatures and docstrings:
- def __init__(self, shipping_addr=None): Quickly init the default box, and save the shipping address
- def calculate(self, basket): Get a rate for this ... | Implement the Python class `DomesticShipping` described below.
Class description:
Provide a method of standard UPS ground shipping
Method signatures and docstrings:
- def __init__(self, shipping_addr=None): Quickly init the default box, and save the shipping address
- def calculate(self, basket): Get a rate for this ... | f7bf3c61407da53d2c2d0142790dce4ccb94ee33 | <|skeleton|>
class DomesticShipping:
"""Provide a method of standard UPS ground shipping"""
def __init__(self, shipping_addr=None):
"""Quickly init the default box, and save the shipping address"""
<|body_0|>
def calculate(self, basket):
"""Get a rate for this package from UPS"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DomesticShipping:
"""Provide a method of standard UPS ground shipping"""
def __init__(self, shipping_addr=None):
"""Quickly init the default box, and save the shipping address"""
self.shipping_addr = shipping_addr
if not shipping_addr:
self.name = '{} (rated after addr... | the_stack_v2_python_sparse | cart/shipping/methods.py | lo-windigo/duxdekes.com | train | 0 |
a4a8eff88cca940af60e459f2fcd1b5fad2ada5d | [
"self.file_extensions_list = file_extensions_list\nself.is_enabled = is_enabled\nself.mode = mode",
"if dictionary is None:\n return None\nfile_extensions_list = dictionary.get('fileExtensionsList')\nis_enabled = dictionary.get('isEnabled')\nmode = dictionary.get('mode')\nreturn cls(file_extensions_list, is_en... | <|body_start_0|>
self.file_extensions_list = file_extensions_list
self.is_enabled = is_enabled
self.mode = mode
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
file_extensions_list = dictionary.get('fileExtensionsList')
is_enabled = diction... | Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mode (ModeFileExtensionFilterEnum): The mode applied to the list of file extensions 'kWh... | FileExtensionFilter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileExtensionFilter:
"""Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mode (ModeFileExtensionFilterEnum): The m... | stack_v2_sparse_classes_36k_train_002041 | 2,043 | permissive | [
{
"docstring": "Constructor for the FileExtensionFilter class",
"name": "__init__",
"signature": "def __init__(self, file_extensions_list=None, is_enabled=None, mode=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary represen... | 2 | null | Implement the Python class `FileExtensionFilter` described below.
Class description:
Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mo... | Implement the Python class `FileExtensionFilter` described below.
Class description:
Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mo... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class FileExtensionFilter:
"""Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mode (ModeFileExtensionFilterEnum): The m... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileExtensionFilter:
"""Implementation of the 'FileExtensionFilter' model. TODO: type description here. Attributes: file_extensions_list (list of string): The list of file extensions to apply is_enabled (bool): If set, it enables the file extension filter mode (ModeFileExtensionFilterEnum): The mode applied t... | the_stack_v2_python_sparse | cohesity_management_sdk/models/file_extension_filter.py | cohesity/management-sdk-python | train | 24 |
bc403fcdd9722d84dd2b72e1f64e8c21370e268f | [
"self.graph = graph\nself.point_dict = dict()\nself.radius = 1",
"if root is None:\n algorithm = TreeCenter(self.graph)\n algorithm.run()\n root = algorithm.tree_center[0]\nself.plot(root, 0, 6, level=0)",
"assert isinstance(left, (int, Fraction))\nassert isinstance(right, (int, Fraction))\nangle = Fra... | <|body_start_0|>
self.graph = graph
self.point_dict = dict()
self.radius = 1
<|end_body_0|>
<|body_start_1|>
if root is None:
algorithm = TreeCenter(self.graph)
algorithm.run()
root = algorithm.tree_center[0]
self.plot(root, 0, 6, level=0)
<|e... | Finding the positions of tree nodes in the plane (radius, angle). | TreePlotRadiusAngle | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TreePlotRadiusAngle:
"""Finding the positions of tree nodes in the plane (radius, angle)."""
def __init__(self, graph):
"""The algorithm initialization."""
<|body_0|>
def run(self, root=None):
"""Executable pseudocode."""
<|body_1|>
def plot(self, so... | stack_v2_sparse_classes_36k_train_002042 | 3,663 | permissive | [
{
"docstring": "The algorithm initialization.",
"name": "__init__",
"signature": "def __init__(self, graph)"
},
{
"docstring": "Executable pseudocode.",
"name": "run",
"signature": "def run(self, root=None)"
},
{
"docstring": "Find node positions (radius, angle). Parameters -----... | 3 | stack_v2_sparse_classes_30k_val_000236 | Implement the Python class `TreePlotRadiusAngle` described below.
Class description:
Finding the positions of tree nodes in the plane (radius, angle).
Method signatures and docstrings:
- def __init__(self, graph): The algorithm initialization.
- def run(self, root=None): Executable pseudocode.
- def plot(self, source... | Implement the Python class `TreePlotRadiusAngle` described below.
Class description:
Finding the positions of tree nodes in the plane (radius, angle).
Method signatures and docstrings:
- def __init__(self, graph): The algorithm initialization.
- def run(self, root=None): Executable pseudocode.
- def plot(self, source... | 0ff4ae303e8824e6bb8474d23b29a7b3e5ed8e60 | <|skeleton|>
class TreePlotRadiusAngle:
"""Finding the positions of tree nodes in the plane (radius, angle)."""
def __init__(self, graph):
"""The algorithm initialization."""
<|body_0|>
def run(self, root=None):
"""Executable pseudocode."""
<|body_1|>
def plot(self, so... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TreePlotRadiusAngle:
"""Finding the positions of tree nodes in the plane (radius, angle)."""
def __init__(self, graph):
"""The algorithm initialization."""
self.graph = graph
self.point_dict = dict()
self.radius = 1
def run(self, root=None):
"""Executable pseu... | the_stack_v2_python_sparse | graphtheory/forests/treeplot.py | kgashok/graphs-dict | train | 0 |
256cdebf8b50468f9ff1f9269b87676f543600eb | [
"if not root:\n return None\nP = self.ancestor(root, p)\nQ = self.ancestor(root, q)\nh = min(len(P), len(Q))\nfor i in xrange(h):\n if P[i] is Q[i]:\n result = P[i]\n else:\n break\nreturn result",
"if not root:\n return []\nif root is dis:\n return [dis]\nl = self.ancestor(root.left,... | <|body_start_0|>
if not root:
return None
P = self.ancestor(root, p)
Q = self.ancestor(root, q)
h = min(len(P), len(Q))
for i in xrange(h):
if P[i] is Q[i]:
result = P[i]
else:
break
return result
<|end_b... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lowestCommonAncestor(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
<|body_0|>
def ancestor(self, root, dis):
"""根据祖先找到目标节点"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root... | stack_v2_sparse_classes_36k_train_002043 | 1,738 | no_license | [
{
"docstring": ":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode",
"name": "lowestCommonAncestor",
"signature": "def lowestCommonAncestor(self, root, p, q)"
},
{
"docstring": "根据祖先找到目标节点",
"name": "ancestor",
"signature": "def ancestor(self, root, dis)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016335 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor(self, root, p, q): :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode
- def ancestor(self, root, dis): 根据祖先找到目标节点 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor(self, root, p, q): :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode
- def ancestor(self, root, dis): 根据祖先找到目标节点
<|skeleton|>
cl... | 9687f8e743a8b6396fff192f22b5256d1025f86b | <|skeleton|>
class Solution:
def lowestCommonAncestor(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
<|body_0|>
def ancestor(self, root, dis):
"""根据祖先找到目标节点"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def lowestCommonAncestor(self, root, p, q):
""":type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode"""
if not root:
return None
P = self.ancestor(root, p)
Q = self.ancestor(root, q)
h = min(len(P), len(Q))
for i in xran... | the_stack_v2_python_sparse | 2017/tree/Lowest_Common_Ancestor_of_a_Binary_Tree.py | buhuipao/LeetCode | train | 5 | |
eb25d567e7d7e5cad66ecabbfd34512f96383a31 | [
"if root.val >= val:\n if root.left:\n self.insertIntoBST(root.left, val)\n else:\n node = TreeNode(val)\n root.left = node\nelif root.right:\n self.insertIntoBST(root.right, val)\nelse:\n node = TreeNode(val)\n root.right = node\nreturn root",
"if not root:\n return TreeNod... | <|body_start_0|>
if root.val >= val:
if root.left:
self.insertIntoBST(root.left, val)
else:
node = TreeNode(val)
root.left = node
elif root.right:
self.insertIntoBST(root.right, val)
else:
node = Tree... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _insertIntoBST(self, root, val):
""":type root: TreeNode :type val: int :rtype: TreeNode"""
<|body_0|>
def __insertIntoBST(self, root, val):
""":type root: TreeNode :type val: int :rtype: TreeNode"""
<|body_1|>
def ___insertIntoBST(self, ro... | stack_v2_sparse_classes_36k_train_002044 | 4,559 | permissive | [
{
"docstring": ":type root: TreeNode :type val: int :rtype: TreeNode",
"name": "_insertIntoBST",
"signature": "def _insertIntoBST(self, root, val)"
},
{
"docstring": ":type root: TreeNode :type val: int :rtype: TreeNode",
"name": "__insertIntoBST",
"signature": "def __insertIntoBST(self,... | 5 | stack_v2_sparse_classes_30k_val_000288 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _insertIntoBST(self, root, val): :type root: TreeNode :type val: int :rtype: TreeNode
- def __insertIntoBST(self, root, val): :type root: TreeNode :type val: int :rtype: Tree... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _insertIntoBST(self, root, val): :type root: TreeNode :type val: int :rtype: TreeNode
- def __insertIntoBST(self, root, val): :type root: TreeNode :type val: int :rtype: Tree... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _insertIntoBST(self, root, val):
""":type root: TreeNode :type val: int :rtype: TreeNode"""
<|body_0|>
def __insertIntoBST(self, root, val):
""":type root: TreeNode :type val: int :rtype: TreeNode"""
<|body_1|>
def ___insertIntoBST(self, ro... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def _insertIntoBST(self, root, val):
""":type root: TreeNode :type val: int :rtype: TreeNode"""
if root.val >= val:
if root.left:
self.insertIntoBST(root.left, val)
else:
node = TreeNode(val)
root.left = node
... | the_stack_v2_python_sparse | 701.insert-into-a-binary-search-tree.py | windard/leeeeee | train | 0 | |
462db16007ab5dca10b5b6043d85e46b16de3ffa | [
"result = {}\ntesting_mode = PyFunceble.cli.utils.testing.get_testing_mode()\nif testing_mode not in self.SUPPORTED_TEST_MODES:\n raise ValueError('<testing_mode> ({testing_mode!r}) is not supported.')\nfor registrar, value in self.dataset['counter'].items():\n if registrar == 'total':\n continue\n ... | <|body_start_0|>
result = {}
testing_mode = PyFunceble.cli.utils.testing.get_testing_mode()
if testing_mode not in self.SUPPORTED_TEST_MODES:
raise ValueError('<testing_mode> ({testing_mode!r}) is not supported.')
for registrar, value in self.dataset['counter'].items():
... | Provides our registrar stats counter. | RegistrarCounter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegistrarCounter:
"""Provides our registrar stats counter."""
def get_dataset_for_printer(self, *, limit: Optional[int]=15) -> List[Dict[str, Union[str, int]]]:
"""Provides the dataset that the printer may understand. :param limit: Maximum number of registrars to display. .. warning:... | stack_v2_sparse_classes_36k_train_002045 | 5,731 | permissive | [
{
"docstring": "Provides the dataset that the printer may understand. :param limit: Maximum number of registrars to display. .. warning:: If set to :code:`None`, all registrars will be displayed. :raise ValueError: When the current testing mode is not supported (yet?).",
"name": "get_dataset_for_printer",
... | 2 | stack_v2_sparse_classes_30k_train_008609 | Implement the Python class `RegistrarCounter` described below.
Class description:
Provides our registrar stats counter.
Method signatures and docstrings:
- def get_dataset_for_printer(self, *, limit: Optional[int]=15) -> List[Dict[str, Union[str, int]]]: Provides the dataset that the printer may understand. :param li... | Implement the Python class `RegistrarCounter` described below.
Class description:
Provides our registrar stats counter.
Method signatures and docstrings:
- def get_dataset_for_printer(self, *, limit: Optional[int]=15) -> List[Dict[str, Union[str, int]]]: Provides the dataset that the printer may understand. :param li... | 214a57d0eca3df7c4ed3421937aaff9998452ba6 | <|skeleton|>
class RegistrarCounter:
"""Provides our registrar stats counter."""
def get_dataset_for_printer(self, *, limit: Optional[int]=15) -> List[Dict[str, Union[str, int]]]:
"""Provides the dataset that the printer may understand. :param limit: Maximum number of registrars to display. .. warning:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RegistrarCounter:
"""Provides our registrar stats counter."""
def get_dataset_for_printer(self, *, limit: Optional[int]=15) -> List[Dict[str, Union[str, int]]]:
"""Provides the dataset that the printer may understand. :param limit: Maximum number of registrars to display. .. warning:: If set to :... | the_stack_v2_python_sparse | PyFunceble/cli/filesystem/registrar_counter.py | funilrys/PyFunceble | train | 267 |
b6c9b93c5f37b81f09f14ed995acbaa3151081e4 | [
"self.is_file_like = is_file_like(path)\nif not self.is_file_like:\n self.lock_path = path + '.lock'\n self._fhandle = None",
"if self.is_file_like:\n return\nself._fhandle = open(self.lock_path, 'wb+')\nif sys.platform.startswith('win'):\n locked = False\n while not locked:\n try:\n ... | <|body_start_0|>
self.is_file_like = is_file_like(path)
if not self.is_file_like:
self.lock_path = path + '.lock'
self._fhandle = None
<|end_body_0|>
<|body_start_1|>
if self.is_file_like:
return
self._fhandle = open(self.lock_path, 'wb+')
if ... | Context manager that locks a file for exclusive access. Has no effect for file-like objects. | LockFile | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"ISC",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
<|body_0|>
def __enter__(self):
"""Locks the file by creating a temporary `.lock` ... | stack_v2_sparse_classes_36k_train_002046 | 32,552 | permissive | [
{
"docstring": "Args: path (str): The path to the file.",
"name": "__init__",
"signature": "def __init__(self, path)"
},
{
"docstring": "Locks the file by creating a temporary `.lock` file and acquiring exclusive access to it. Returns: file-like: The open file object.",
"name": "__enter__",
... | 3 | null | Implement the Python class `LockFile` described below.
Class description:
Context manager that locks a file for exclusive access. Has no effect for file-like objects.
Method signatures and docstrings:
- def __init__(self, path): Args: path (str): The path to the file.
- def __enter__(self): Locks the file by creating... | Implement the Python class `LockFile` described below.
Class description:
Context manager that locks a file for exclusive access. Has no effect for file-like objects.
Method signatures and docstrings:
- def __init__(self, path): Args: path (str): The path to the file.
- def __enter__(self): Locks the file by creating... | a167852705d74bcc619d8fad0af4b9e4d84472fc | <|skeleton|>
class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
<|body_0|>
def __enter__(self):
"""Locks the file by creating a temporary `.lock` ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LockFile:
"""Context manager that locks a file for exclusive access. Has no effect for file-like objects."""
def __init__(self, path):
"""Args: path (str): The path to the file."""
self.is_file_like = is_file_like(path)
if not self.is_file_like:
self.lock_path = path +... | the_stack_v2_python_sparse | tools/Polygraphy/polygraphy/util/util.py | NVIDIA/TensorRT | train | 8,026 |
6067b81e6ccab6b69e1aeef871c46e5840f13c7d | [
"self.id = None\nself.original = False\nself.save()\nreturn self",
"title = self.title.encode('utf-8')\ndescription = self.description.encode('utf-8')\nattribution = self.attribution.encode('utf-8')\nif self.type == 'ImageAsset' or self.type == 'DocumentAsset':\n link = 'NA'\nelse:\n link = self.link\nasset... | <|body_start_0|>
self.id = None
self.original = False
self.save()
return self
<|end_body_0|>
<|body_start_1|>
title = self.title.encode('utf-8')
description = self.description.encode('utf-8')
attribution = self.attribution.encode('utf-8')
if self.type == ... | Base class for facet-attaching asset metadata. Used for asset types that are attached to facets. | BaseAssetMetadata | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseAssetMetadata:
"""Base class for facet-attaching asset metadata. Used for asset types that are attached to facets."""
def copy(self):
"""Create a copy of an asset for a partner organization in a network. Copied assets keep all associated information. Organization is set to the co... | stack_v2_sparse_classes_36k_train_002047 | 16,062 | permissive | [
{
"docstring": "Create a copy of an asset for a partner organization in a network. Copied assets keep all associated information. Organization is set to the copier's organization and the original flag is set to false. Triggering a copy also triggers the creation of an asset copy detail record.",
"name": "co... | 2 | null | Implement the Python class `BaseAssetMetadata` described below.
Class description:
Base class for facet-attaching asset metadata. Used for asset types that are attached to facets.
Method signatures and docstrings:
- def copy(self): Create a copy of an asset for a partner organization in a network. Copied assets keep ... | Implement the Python class `BaseAssetMetadata` described below.
Class description:
Base class for facet-attaching asset metadata. Used for asset types that are attached to facets.
Method signatures and docstrings:
- def copy(self): Create a copy of an asset for a partner organization in a network. Copied assets keep ... | dc6bc79d450f7e2bdf59cfbcd306d05a736e4db9 | <|skeleton|>
class BaseAssetMetadata:
"""Base class for facet-attaching asset metadata. Used for asset types that are attached to facets."""
def copy(self):
"""Create a copy of an asset for a partner organization in a network. Copied assets keep all associated information. Organization is set to the co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BaseAssetMetadata:
"""Base class for facet-attaching asset metadata. Used for asset types that are attached to facets."""
def copy(self):
"""Create a copy of an asset for a partner organization in a network. Copied assets keep all associated information. Organization is set to the copier's organi... | the_stack_v2_python_sparse | project/editorial/models/assets.py | ProjectFacet/facet | train | 25 |
88e0c9d9ca285bac4f8f2bf240699cbefa642988 | [
"super(GapminderOperator, self).__init__(*args, **kwargs)\nself.aws_credentials_id = aws_credentials_id\nself.s3_bucket = s3_bucket\nself.origin_s3_folder = origin_s3_folder\nself.destination_s3_folder = destination_s3_folder",
"aws_hook = AwsHook(self.aws_credentials_id)\ncredentials = aws_hook.get_credentials()... | <|body_start_0|>
super(GapminderOperator, self).__init__(*args, **kwargs)
self.aws_credentials_id = aws_credentials_id
self.s3_bucket = s3_bucket
self.origin_s3_folder = origin_s3_folder
self.destination_s3_folder = destination_s3_folder
<|end_body_0|>
<|body_start_1|>
a... | GapminderOperator | [
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GapminderOperator:
def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs):
"""init method args: self: origin_s3_folder: destination_s3_folder: *args: **kwargs:"""
<|body_0|>
def execute(self, context):
"""Read gapm... | stack_v2_sparse_classes_36k_train_002048 | 2,611 | permissive | [
{
"docstring": "init method args: self: origin_s3_folder: destination_s3_folder: *args: **kwargs:",
"name": "__init__",
"signature": "def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs)"
},
{
"docstring": "Read gapminder source files and jo... | 2 | stack_v2_sparse_classes_30k_train_005826 | Implement the Python class `GapminderOperator` described below.
Class description:
Implement the GapminderOperator class.
Method signatures and docstrings:
- def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs): init method args: self: origin_s3_folder: destinati... | Implement the Python class `GapminderOperator` described below.
Class description:
Implement the GapminderOperator class.
Method signatures and docstrings:
- def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs): init method args: self: origin_s3_folder: destinati... | ee67a63dfccb671097f1343ce5b80a0a7a76646c | <|skeleton|>
class GapminderOperator:
def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs):
"""init method args: self: origin_s3_folder: destination_s3_folder: *args: **kwargs:"""
<|body_0|>
def execute(self, context):
"""Read gapm... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GapminderOperator:
def __init__(self, aws_credentials_id, s3_bucket, origin_s3_folder, destination_s3_folder, *args, **kwargs):
"""init method args: self: origin_s3_folder: destination_s3_folder: *args: **kwargs:"""
super(GapminderOperator, self).__init__(*args, **kwargs)
self.aws_cred... | the_stack_v2_python_sparse | airflow/plugins/operators/gapminder.py | mwalbers1/DEND-Capstone-Project | train | 0 | |
c22612ba9a20e5bf9210ea82855f030e48f166bf | [
"self.disk_file_name = disk_file_name\nself.length = length\nself.lvm_data_offset = lvm_data_offset\nself.offset = offset\nself.partition_number = partition_number",
"if dictionary is None:\n return None\ndisk_file_name = dictionary.get('diskFileName')\nlength = dictionary.get('length')\nlvm_data_offset = dict... | <|body_start_0|>
self.disk_file_name = disk_file_name
self.length = length
self.lvm_data_offset = lvm_data_offset
self.offset = offset
self.partition_number = partition_number
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
disk_fil... | Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is being built) in bytes. It does not include size of the LVM meta data. lvm_data_offset (long|... | DeviceTree_PartitionSlice | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceTree_PartitionSlice:
"""Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is being built) in bytes. It does not incl... | stack_v2_sparse_classes_36k_train_002049 | 3,020 | permissive | [
{
"docstring": "Constructor for the DeviceTree_PartitionSlice class",
"name": "__init__",
"signature": "def __init__(self, disk_file_name=None, length=None, lvm_data_offset=None, offset=None, partition_number=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dic... | 2 | stack_v2_sparse_classes_30k_train_015810 | Implement the Python class `DeviceTree_PartitionSlice` described below.
Class description:
Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is ... | Implement the Python class `DeviceTree_PartitionSlice` described below.
Class description:
Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is ... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DeviceTree_PartitionSlice:
"""Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is being built) in bytes. It does not incl... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeviceTree_PartitionSlice:
"""Implementation of the 'DeviceTree_PartitionSlice' model. TODO: type description here. Attributes: disk_file_name (string): The disk to use. length (long|int): The length of data for the LVM volume (for which this device tree is being built) in bytes. It does not include size of t... | the_stack_v2_python_sparse | cohesity_management_sdk/models/device_tree_partition_slice.py | cohesity/management-sdk-python | train | 24 |
7e62e6c49f8f2778fee55552069eed9614fe3032 | [
"def postorder(root):\n return postorder(root.left) + postorder(root.right) + [root.val] if root else []\nreturn ' '.join(map(str, postorder(root)))",
"def helper(lower=float('-inf'), upper=float('inf')):\n if not data or data[-1] < lower or data[-1] > upper:\n return None\n val = data.pop()\n ... | <|body_start_0|>
def postorder(root):
return postorder(root.left) + postorder(root.right) + [root.val] if root else []
return ' '.join(map(str, postorder(root)))
<|end_body_0|>
<|body_start_1|>
def helper(lower=float('-inf'), upper=float('inf')):
if not data or data[-1] ... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def postorder(root):
return postorde... | stack_v2_sparse_classes_36k_train_002050 | 4,762 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data)"
}
] | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string.
- def deserialize(self, data): Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root): Encodes a tree to a single string.
- def deserialize(self, data): Decodes your encoded data to tree.
<|skeleton|>
class Codec:
def serialize(self, root... | 59f70dc4466e15df591ba285317e4a1fe808ed60 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string."""
def postorder(root):
return postorder(root.left) + postorder(root.right) + [root.val] if root else []
return ' '.join(map(str, postorder(root)))
def deserialize(self, data):
"""Decodes y... | the_stack_v2_python_sparse | leet/amazon/trees_and_graphs/449_serialize_and_deserialize_BST.py | arsamigullin/problem_solving_python | train | 0 | |
a461012fb8541aad5ab4a128e2fbd183565633cb | [
"input_json, output_json = (request.data['APIParams'], {})\noutput_json['AuthenticationDetails'] = request.data['AuthenticationDetails']\nfetch_all_state = self.fetch_states(input_json)\nif fetch_all_state.data['Status'] == 'Success':\n payload_details = {'states_details': fetch_all_state.data['States']}\n ou... | <|body_start_0|>
input_json, output_json = (request.data['APIParams'], {})
output_json['AuthenticationDetails'] = request.data['AuthenticationDetails']
fetch_all_state = self.fetch_states(input_json)
if fetch_all_state.data['Status'] == 'Success':
payload_details = {'states_d... | This API cover for fetch all states. | GetAllStatesAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetAllStatesAPI:
"""This API cover for fetch all states."""
def post(self, request):
"""This API cover for fetch all states."""
<|body_0|>
def fetch_states(self, request):
"""Function to fetch states into database."""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_002051 | 1,702 | no_license | [
{
"docstring": "This API cover for fetch all states.",
"name": "post",
"signature": "def post(self, request)"
},
{
"docstring": "Function to fetch states into database.",
"name": "fetch_states",
"signature": "def fetch_states(self, request)"
}
] | 2 | null | Implement the Python class `GetAllStatesAPI` described below.
Class description:
This API cover for fetch all states.
Method signatures and docstrings:
- def post(self, request): This API cover for fetch all states.
- def fetch_states(self, request): Function to fetch states into database. | Implement the Python class `GetAllStatesAPI` described below.
Class description:
This API cover for fetch all states.
Method signatures and docstrings:
- def post(self, request): This API cover for fetch all states.
- def fetch_states(self, request): Function to fetch states into database.
<|skeleton|>
class GetAllS... | 36eb9931f330e64902354c6fc471be2adf4b7049 | <|skeleton|>
class GetAllStatesAPI:
"""This API cover for fetch all states."""
def post(self, request):
"""This API cover for fetch all states."""
<|body_0|>
def fetch_states(self, request):
"""Function to fetch states into database."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetAllStatesAPI:
"""This API cover for fetch all states."""
def post(self, request):
"""This API cover for fetch all states."""
input_json, output_json = (request.data['APIParams'], {})
output_json['AuthenticationDetails'] = request.data['AuthenticationDetails']
fetch_all_... | the_stack_v2_python_sparse | Generic/common/location/api/getallstatesdetails/views_getallstatesdetails.py | archiemb303/common_backend_django | train | 0 |
fc819d780b30cede16ea0532aa49d0e80ae36b0d | [
"if commit_message is None:\n if 'Model' in self.__class__.__name__:\n commit_message = 'Upload model'\n elif 'Scheduler' in self.__class__.__name__:\n commit_message = 'Upload scheduler'\n else:\n commit_message = f'Upload {self.__class__.__name__}'\nlogger.info(f'Uploading the files ... | <|body_start_0|>
if commit_message is None:
if 'Model' in self.__class__.__name__:
commit_message = 'Upload model'
elif 'Scheduler' in self.__class__.__name__:
commit_message = 'Upload scheduler'
else:
commit_message = f'Upload ... | A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub. | PushToHubMixin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PushToHubMixin:
"""A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub."""
def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[str]=None, create_pr: bool=False):
"""Uploads all files in `... | stack_v2_sparse_classes_36k_train_002052 | 19,582 | permissive | [
{
"docstring": "Uploads all files in `working_dir` to `repo_id`.",
"name": "_upload_folder",
"signature": "def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[str]=None, create_pr: bool=False)"
},
{
"docstring": "Upload... | 2 | null | Implement the Python class `PushToHubMixin` described below.
Class description:
A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub.
Method signatures and docstrings:
- def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[... | Implement the Python class `PushToHubMixin` described below.
Class description:
A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub.
Method signatures and docstrings:
- def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[... | 5eeedd9e3336882d598091e191559f67433b6427 | <|skeleton|>
class PushToHubMixin:
"""A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub."""
def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[str]=None, create_pr: bool=False):
"""Uploads all files in `... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PushToHubMixin:
"""A Mixin to push a model, scheduler, or pipeline to the Hugging Face Hub."""
def _upload_folder(self, working_dir: Union[str, os.PathLike], repo_id: str, token: Optional[str]=None, commit_message: Optional[str]=None, create_pr: bool=False):
"""Uploads all files in `working_dir` ... | the_stack_v2_python_sparse | src/diffusers/utils/hub_utils.py | huggingface/diffusers | train | 17,308 |
5cff84b7117c41c348f0ef325cdf2951fdf99b78 | [
"try:\n return get_cultural_object_json(get_cultural_object(culturalobject_id))\nexcept ObjectNotFoundException as c:\n return ('Error:{0}'.format(c), 404)\nexcept Exception as e:\n return ('Error:{0}'.format(e), 500)",
"json_data = request.json\ntry:\n culturalobject_update(culturalobject_id, json_da... | <|body_start_0|>
try:
return get_cultural_object_json(get_cultural_object(culturalobject_id))
except ObjectNotFoundException as c:
return ('Error:{0}'.format(c), 404)
except Exception as e:
return ('Error:{0}'.format(e), 500)
<|end_body_0|>
<|body_start_1|>
... | Collection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Collection:
def get(self, culturalobject_id):
"""Fetch a given Cultural Object"""
<|body_0|>
def post(self, culturalobject_id):
"""Update a given Cultural Object"""
<|body_1|>
def delete(self, culturalobject_id):
"""Delete a given Cultural Object... | stack_v2_sparse_classes_36k_train_002053 | 3,320 | no_license | [
{
"docstring": "Fetch a given Cultural Object",
"name": "get",
"signature": "def get(self, culturalobject_id)"
},
{
"docstring": "Update a given Cultural Object",
"name": "post",
"signature": "def post(self, culturalobject_id)"
},
{
"docstring": "Delete a given Cultural Object",
... | 3 | stack_v2_sparse_classes_30k_train_019286 | Implement the Python class `Collection` described below.
Class description:
Implement the Collection class.
Method signatures and docstrings:
- def get(self, culturalobject_id): Fetch a given Cultural Object
- def post(self, culturalobject_id): Update a given Cultural Object
- def delete(self, culturalobject_id): Del... | Implement the Python class `Collection` described below.
Class description:
Implement the Collection class.
Method signatures and docstrings:
- def get(self, culturalobject_id): Fetch a given Cultural Object
- def post(self, culturalobject_id): Update a given Cultural Object
- def delete(self, culturalobject_id): Del... | a7a5f86fb7617f8c8d11526a6213f3d958a4a65d | <|skeleton|>
class Collection:
def get(self, culturalobject_id):
"""Fetch a given Cultural Object"""
<|body_0|>
def post(self, culturalobject_id):
"""Update a given Cultural Object"""
<|body_1|>
def delete(self, culturalobject_id):
"""Delete a given Cultural Object... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Collection:
def get(self, culturalobject_id):
"""Fetch a given Cultural Object"""
try:
return get_cultural_object_json(get_cultural_object(culturalobject_id))
except ObjectNotFoundException as c:
return ('Error:{0}'.format(c), 404)
except Exception as e:... | the_stack_v2_python_sparse | controller/CulturalObjectController.py | monica-gatti/Vasari | train | 1 | |
f72a5dc52dd5d6d089341b9ff7d54c93685556d4 | [
"form = super().get_form(request, obj=obj, change=change, **kwargs)\nplaceholder_id = request.GET.get('placeholder_id')\nif not placeholder_id and (not obj):\n return form\nif placeholder_id:\n placeholder = Placeholder.objects.only('slot').get(id=placeholder_id)\nelse:\n placeholder = obj.placeholder\nfor... | <|body_start_0|>
form = super().get_form(request, obj=obj, change=change, **kwargs)
placeholder_id = request.GET.get('placeholder_id')
if not placeholder_id and (not obj):
return form
if placeholder_id:
placeholder = Placeholder.objects.only('slot').get(id=placeho... | A plugin to add text with CKEditor widget. | CKEditorPlugin | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CKEditorPlugin:
"""A plugin to add text with CKEditor widget."""
def get_form(self, request, obj=None, change=False, **kwargs):
"""Add an HTML max length validator and/or a CKEditor configuration based on what is configured in settings for the current placeholder."""
<|body_0... | stack_v2_sparse_classes_36k_train_002054 | 2,489 | permissive | [
{
"docstring": "Add an HTML max length validator and/or a CKEditor configuration based on what is configured in settings for the current placeholder.",
"name": "get_form",
"signature": "def get_form(self, request, obj=None, change=False, **kwargs)"
},
{
"docstring": "Build plugin context passed ... | 2 | stack_v2_sparse_classes_30k_train_021111 | Implement the Python class `CKEditorPlugin` described below.
Class description:
A plugin to add text with CKEditor widget.
Method signatures and docstrings:
- def get_form(self, request, obj=None, change=False, **kwargs): Add an HTML max length validator and/or a CKEditor configuration based on what is configured in ... | Implement the Python class `CKEditorPlugin` described below.
Class description:
A plugin to add text with CKEditor widget.
Method signatures and docstrings:
- def get_form(self, request, obj=None, change=False, **kwargs): Add an HTML max length validator and/or a CKEditor configuration based on what is configured in ... | f2d46fc46b271eb3b4d565039a29c15ba15f027c | <|skeleton|>
class CKEditorPlugin:
"""A plugin to add text with CKEditor widget."""
def get_form(self, request, obj=None, change=False, **kwargs):
"""Add an HTML max length validator and/or a CKEditor configuration based on what is configured in settings for the current placeholder."""
<|body_0... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CKEditorPlugin:
"""A plugin to add text with CKEditor widget."""
def get_form(self, request, obj=None, change=False, **kwargs):
"""Add an HTML max length validator and/or a CKEditor configuration based on what is configured in settings for the current placeholder."""
form = super().get_fo... | the_stack_v2_python_sparse | src/richie/plugins/simple_text_ckeditor/cms_plugins.py | openfun/richie | train | 238 |
b4d78528fb80f06763b588157ee35e7f3a4ca7df | [
"external_temp_dir = tempfile.mkdtemp()\ntry:\n external_temp_file = os.path.join(external_temp_dir, 'test.txt')\n with open(external_temp_file, 'w', encoding='utf-8') as fd:\n fd.write('HI')\n link_dir = os.path.join(self.tmp_dir, 'foo', 'link_dir')\n MakeSymLink(external_temp_file, link_dir)\n ... | <|body_start_0|>
external_temp_dir = tempfile.mkdtemp()
try:
external_temp_file = os.path.join(external_temp_dir, 'test.txt')
with open(external_temp_file, 'w', encoding='utf-8') as fd:
fd.write('HI')
link_dir = os.path.join(self.tmp_dir, 'foo', 'link_... | WinSymlinkTest | [
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WinSymlinkTest:
def testRmtreeOsWalkDoesNotFollowSymlinks(self):
"""_RmtreeOsWalk(...) will delete the symlink and not the target."""
<|body_0|>
def testRmtreeCmdShellDoesNotFollowSymlinks(self):
"""_RmtreeShellCmd(...) will delete the symlink and not the target."""
... | stack_v2_sparse_classes_36k_train_002055 | 3,426 | permissive | [
{
"docstring": "_RmtreeOsWalk(...) will delete the symlink and not the target.",
"name": "testRmtreeOsWalkDoesNotFollowSymlinks",
"signature": "def testRmtreeOsWalkDoesNotFollowSymlinks(self)"
},
{
"docstring": "_RmtreeShellCmd(...) will delete the symlink and not the target.",
"name": "test... | 2 | null | Implement the Python class `WinSymlinkTest` described below.
Class description:
Implement the WinSymlinkTest class.
Method signatures and docstrings:
- def testRmtreeOsWalkDoesNotFollowSymlinks(self): _RmtreeOsWalk(...) will delete the symlink and not the target.
- def testRmtreeCmdShellDoesNotFollowSymlinks(self): _... | Implement the Python class `WinSymlinkTest` described below.
Class description:
Implement the WinSymlinkTest class.
Method signatures and docstrings:
- def testRmtreeOsWalkDoesNotFollowSymlinks(self): _RmtreeOsWalk(...) will delete the symlink and not the target.
- def testRmtreeCmdShellDoesNotFollowSymlinks(self): _... | acefdaaadd3ef46f10f63d1acae2259e4024d383 | <|skeleton|>
class WinSymlinkTest:
def testRmtreeOsWalkDoesNotFollowSymlinks(self):
"""_RmtreeOsWalk(...) will delete the symlink and not the target."""
<|body_0|>
def testRmtreeCmdShellDoesNotFollowSymlinks(self):
"""_RmtreeShellCmd(...) will delete the symlink and not the target."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WinSymlinkTest:
def testRmtreeOsWalkDoesNotFollowSymlinks(self):
"""_RmtreeOsWalk(...) will delete the symlink and not the target."""
external_temp_dir = tempfile.mkdtemp()
try:
external_temp_file = os.path.join(external_temp_dir, 'test.txt')
with open(external_... | the_stack_v2_python_sparse | starboard/tools/win_symlink_test.py | youtube/cobalt | train | 169 | |
1ebceb2fdd906911c4612106a12f4a899d3a51ec | [
"ctx = super().get_context_data(**kwargs)\nsquare_settings = SquareSettings.get_settings()\nctx['square_form'] = kwargs.get('square_form', forms.SquareNonceForm())\nctx['square_app'] = square_settings.application_id\nreturn ctx",
"submission = self.build_submission()\nif submission['payment_kwargs']['nonce']:\n ... | <|body_start_0|>
ctx = super().get_context_data(**kwargs)
square_settings = SquareSettings.get_settings()
ctx['square_form'] = kwargs.get('square_form', forms.SquareNonceForm())
ctx['square_app'] = square_settings.application_id
return ctx
<|end_body_0|>
<|body_start_1|>
... | Enable our site to accept payments | PaymentDetailsView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PaymentDetailsView:
"""Enable our site to accept payments"""
def get_context_data(self, **kwargs):
"""Provide the square nonce form in context"""
<|body_0|>
def handle_place_order_submission(self, request):
"""Handle Square payment form submission"""
<|bo... | stack_v2_sparse_classes_36k_train_002056 | 2,490 | no_license | [
{
"docstring": "Provide the square nonce form in context",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "Handle Square payment form submission",
"name": "handle_place_order_submission",
"signature": "def handle_place_order_submission(s... | 3 | stack_v2_sparse_classes_30k_train_002523 | Implement the Python class `PaymentDetailsView` described below.
Class description:
Enable our site to accept payments
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Provide the square nonce form in context
- def handle_place_order_submission(self, request): Handle Square payment form submi... | Implement the Python class `PaymentDetailsView` described below.
Class description:
Enable our site to accept payments
Method signatures and docstrings:
- def get_context_data(self, **kwargs): Provide the square nonce form in context
- def handle_place_order_submission(self, request): Handle Square payment form submi... | f7bf3c61407da53d2c2d0142790dce4ccb94ee33 | <|skeleton|>
class PaymentDetailsView:
"""Enable our site to accept payments"""
def get_context_data(self, **kwargs):
"""Provide the square nonce form in context"""
<|body_0|>
def handle_place_order_submission(self, request):
"""Handle Square payment form submission"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PaymentDetailsView:
"""Enable our site to accept payments"""
def get_context_data(self, **kwargs):
"""Provide the square nonce form in context"""
ctx = super().get_context_data(**kwargs)
square_settings = SquareSettings.get_settings()
ctx['square_form'] = kwargs.get('squar... | the_stack_v2_python_sparse | cart/checkout/views.py | lo-windigo/duxdekes.com | train | 0 |
c79bbf7ec731182ace441f1be630a3d4b9cbbc35 | [
"self.win = win\nself.data = {}\nwith open('level.json', 'r') as _input:\n self.data = json.load(_input)\nself.level = 0\nself.kills = 0\nself.maxlvl = maxlvl\nself.sourceFileDir = os.path.dirname(os.path.abspath(__file__))\nself.godmode = godmode",
"pygame.mixer.music.stop()\npygame.mouse.set_cursor(*pygame.c... | <|body_start_0|>
self.win = win
self.data = {}
with open('level.json', 'r') as _input:
self.data = json.load(_input)
self.level = 0
self.kills = 0
self.maxlvl = maxlvl
self.sourceFileDir = os.path.dirname(os.path.abspath(__file__))
self.godmode... | Run | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Run:
def __init__(self, win, maxlvl=14, godmode=False):
"""Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, optional): Soll der Godmode aktiviert sein. Defaults to False."""
<|body_0|>
def r... | stack_v2_sparse_classes_36k_train_002057 | 3,257 | no_license | [
{
"docstring": "Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, optional): Soll der Godmode aktiviert sein. Defaults to False.",
"name": "__init__",
"signature": "def __init__(self, win, maxlvl=14, godmode=False)"
},... | 2 | stack_v2_sparse_classes_30k_train_019688 | Implement the Python class `Run` described below.
Class description:
Implement the Run class.
Method signatures and docstrings:
- def __init__(self, win, maxlvl=14, godmode=False): Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, opt... | Implement the Python class `Run` described below.
Class description:
Implement the Run class.
Method signatures and docstrings:
- def __init__(self, win, maxlvl=14, godmode=False): Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, opt... | e7a922563413618920a5087033cf1a87af7bb420 | <|skeleton|>
class Run:
def __init__(self, win, maxlvl=14, godmode=False):
"""Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, optional): Soll der Godmode aktiviert sein. Defaults to False."""
<|body_0|>
def r... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Run:
def __init__(self, win, maxlvl=14, godmode=False):
"""Konstruktor Run Objekt Args: win (pygame.window): Das Fenster maxlvl (int, optional): Maximales Level. Defaults to 14. godmode (bool, optional): Soll der Godmode aktiviert sein. Defaults to False."""
self.win = win
self.data = ... | the_stack_v2_python_sparse | Run.py | JNYscript/Neon_Rush | train | 0 | |
1c5dbc3157d316e4c59177ed1004b4d71e1ed12d | [
"if not head or not head.next:\n return head\nfastNode, slowNode = (head.next, head)\nwhile fastNode and fastNode.next:\n fastNode = fastNode.next.next\n slowNode = slowNode.next\nsecondHalf = slowNode.next\nslowNode.next = None\nleftHalf = self.sortList(head)\nrightHalf = self.sortList(secondHalf)\nreturn... | <|body_start_0|>
if not head or not head.next:
return head
fastNode, slowNode = (head.next, head)
while fastNode and fastNode.next:
fastNode = fastNode.next.next
slowNode = slowNode.next
secondHalf = slowNode.next
slowNode.next = None
l... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or not ... | stack_v2_sparse_classes_36k_train_002058 | 1,616 | permissive | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "sortList",
"signature": "def sortList(self, head)"
},
{
"docstring": ":type l1: ListNode :type l2: ListNode :rtype: ListNode",
"name": "mergeTwoLists",
"signature": "def mergeTwoLists(self, l1, l2)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021084 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortList(self, head): :type head: ListNode :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortList(self, head): :type head: ListNode :rtype: ListNode
- def mergeTwoLists(self, l1, l2): :type l1: ListNode :type l2: ListNode :rtype: ListNode
<|skeleton|>
class Solu... | 20ae1a048eddbc9a32c819cf61258e2b57572f05 | <|skeleton|>
class Solution:
def sortList(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def mergeTwoLists(self, l1, l2):
""":type l1: ListNode :type l2: ListNode :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def sortList(self, head):
""":type head: ListNode :rtype: ListNode"""
if not head or not head.next:
return head
fastNode, slowNode = (head.next, head)
while fastNode and fastNode.next:
fastNode = fastNode.next.next
slowNode = slowNo... | the_stack_v2_python_sparse | leetcode.com/python/148_Sort_List.py | partho-maple/coding-interview-gym | train | 862 | |
b0590c699b913ada5ada8d0325d30990cf8e32d8 | [
"cliente = get_cliente_id(id_cliente)\nif not cliente:\n api.abort(404)\nelse:\n return cliente",
"data = request.json\ncliente = update_cliente(id_cliente, data)\nif not cliente:\n api.abort(404)\nelse:\n return cliente",
"cliente = delete_cliente(id_cliente)\nif not cliente:\n api.abort(404)\ne... | <|body_start_0|>
cliente = get_cliente_id(id_cliente)
if not cliente:
api.abort(404)
else:
return cliente
<|end_body_0|>
<|body_start_1|>
data = request.json
cliente = update_cliente(id_cliente, data)
if not cliente:
api.abort(404)
... | Cliente | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Cliente:
def get(self, id_cliente):
"""get a cliente given its identifier"""
<|body_0|>
def put(self, id_cliente):
"""update a cliente given its identifier"""
<|body_1|>
def delete(self, id_cliente):
"""delete a cliente given its identifier"""
... | stack_v2_sparse_classes_36k_train_002059 | 1,821 | no_license | [
{
"docstring": "get a cliente given its identifier",
"name": "get",
"signature": "def get(self, id_cliente)"
},
{
"docstring": "update a cliente given its identifier",
"name": "put",
"signature": "def put(self, id_cliente)"
},
{
"docstring": "delete a cliente given its identifier... | 3 | stack_v2_sparse_classes_30k_val_000704 | Implement the Python class `Cliente` described below.
Class description:
Implement the Cliente class.
Method signatures and docstrings:
- def get(self, id_cliente): get a cliente given its identifier
- def put(self, id_cliente): update a cliente given its identifier
- def delete(self, id_cliente): delete a cliente gi... | Implement the Python class `Cliente` described below.
Class description:
Implement the Cliente class.
Method signatures and docstrings:
- def get(self, id_cliente): get a cliente given its identifier
- def put(self, id_cliente): update a cliente given its identifier
- def delete(self, id_cliente): delete a cliente gi... | e3e6d716102280e73932e5eba65b2ff27eec45e0 | <|skeleton|>
class Cliente:
def get(self, id_cliente):
"""get a cliente given its identifier"""
<|body_0|>
def put(self, id_cliente):
"""update a cliente given its identifier"""
<|body_1|>
def delete(self, id_cliente):
"""delete a cliente given its identifier"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Cliente:
def get(self, id_cliente):
"""get a cliente given its identifier"""
cliente = get_cliente_id(id_cliente)
if not cliente:
api.abort(404)
else:
return cliente
def put(self, id_cliente):
"""update a cliente given its identifier"""
... | the_stack_v2_python_sparse | app/main/controller/cliente_controller.py | Team-3-TCS/api-my-store | train | 1 | |
bfa8ff75a81fe185ad97c1e2198655eb6d31e7d4 | [
"if not root:\n return\nso = [root]\nss = []\nwhile any(so):\n for i in xrange(len(so)):\n if so[i] is not None:\n ss.append(so[i].left)\n ss.append(so[i].right)\n if i < len(so) - 1:\n so[i].next = so[i + 1]\n else:\n so[i].next... | <|body_start_0|>
if not root:
return
so = [root]
ss = []
while any(so):
for i in xrange(len(so)):
if so[i] is not None:
ss.append(so[i].left)
ss.append(so[i].right)
if i < len(so) - 1:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def connect(self, root):
""":type root: TreeLinkNode :rtype: nothing"""
<|body_0|>
def connect(self, root):
""":type root: TreeLinkNode :rtype: nothing"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not root:
return
... | stack_v2_sparse_classes_36k_train_002060 | 2,232 | no_license | [
{
"docstring": ":type root: TreeLinkNode :rtype: nothing",
"name": "connect",
"signature": "def connect(self, root)"
},
{
"docstring": ":type root: TreeLinkNode :rtype: nothing",
"name": "connect",
"signature": "def connect(self, root)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def connect(self, root): :type root: TreeLinkNode :rtype: nothing
- def connect(self, root): :type root: TreeLinkNode :rtype: nothing | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def connect(self, root): :type root: TreeLinkNode :rtype: nothing
- def connect(self, root): :type root: TreeLinkNode :rtype: nothing
<|skeleton|>
class Solution:
def conne... | c658b78c920aa94c25b3d932cd7e46c0df82b19a | <|skeleton|>
class Solution:
def connect(self, root):
""":type root: TreeLinkNode :rtype: nothing"""
<|body_0|>
def connect(self, root):
""":type root: TreeLinkNode :rtype: nothing"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def connect(self, root):
""":type root: TreeLinkNode :rtype: nothing"""
if not root:
return
so = [root]
ss = []
while any(so):
for i in xrange(len(so)):
if so[i] is not None:
ss.append(so[i].left)
... | the_stack_v2_python_sparse | LeetCode/populateNextRightPterInEachNode.py | armsky/OnlineJudge | train | 0 | |
8ec52b2269eec9661f871743bdd444339ee242f0 | [
"self.valid = valid\nself.building = None\nself.playerID = None",
"if self.playerID == None and building == 'Settlement':\n self.building = building\n self.playerID = playerID\n return True\nelif self.playerID == playerID and self.building == 'Settlement' and (building == 'City'):\n self.building = bu... | <|body_start_0|>
self.valid = valid
self.building = None
self.playerID = None
<|end_body_0|>
<|body_start_1|>
if self.playerID == None and building == 'Settlement':
self.building = building
self.playerID = playerID
return True
elif self.player... | This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice | GameVertex | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameVertex:
"""This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice"""
def __init__(self, valid):
"""GameVertex.__init__() method Args: valid(bool): vertex is valid if at least... | stack_v2_sparse_classes_36k_train_002061 | 1,431 | no_license | [
{
"docstring": "GameVertex.__init__() method Args: valid(bool): vertex is valid if at least one adjacent tile is land Returns: {no return}",
"name": "__init__",
"signature": "def __init__(self, valid)"
},
{
"docstring": "Handles building of a settlement or city Args: building(str): the desired b... | 2 | stack_v2_sparse_classes_30k_train_006932 | Implement the Python class `GameVertex` described below.
Class description:
This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice
Method signatures and docstrings:
- def __init__(self, valid): GameVertex.__init_... | Implement the Python class `GameVertex` described below.
Class description:
This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice
Method signatures and docstrings:
- def __init__(self, valid): GameVertex.__init_... | 9a52fec06d166ee7d9446f1a401ec7653d199aa8 | <|skeleton|>
class GameVertex:
"""This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice"""
def __init__(self, valid):
"""GameVertex.__init__() method Args: valid(bool): vertex is valid if at least... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GameVertex:
"""This class contains all attributes regarding game vertices and methods for altering them To Do: - Change building parameter from string to enum. Better practice"""
def __init__(self, valid):
"""GameVertex.__init__() method Args: valid(bool): vertex is valid if at least one adjacent... | the_stack_v2_python_sparse | Source/gamevertex.py | qtmiller/Coders-of-Catan | train | 1 |
f7b0421086d9db59862ad259ba0e696a74819f1e | [
"if coins == []:\n return 1 if amount == 0 else 0\nmemory = {}\n\ndef dfs(cur_amount, i):\n if (cur_amount, i) in memory:\n return memory[cur_amount, i]\n if cur_amount == amount:\n return 1\n if i == len(coins) - 1:\n if (amount - cur_amount) % coins[i] == 0:\n return 1\... | <|body_start_0|>
if coins == []:
return 1 if amount == 0 else 0
memory = {}
def dfs(cur_amount, i):
if (cur_amount, i) in memory:
return memory[cur_amount, i]
if cur_amount == amount:
return 1
if i == len(coins) - 1... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int"""
<|body_0|>
def change_1(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int 280 ms"""
<|body_1|>
def change_2(self, amount, co... | stack_v2_sparse_classes_36k_train_002062 | 2,727 | no_license | [
{
"docstring": ":type amount: int :type coins: List[int] :rtype: int",
"name": "change",
"signature": "def change(self, amount, coins)"
},
{
"docstring": ":type amount: int :type coins: List[int] :rtype: int 280 ms",
"name": "change_1",
"signature": "def change_1(self, amount, coins)"
... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int
- def change_1(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int 28... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def change(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int
- def change_1(self, amount, coins): :type amount: int :type coins: List[int] :rtype: int 28... | 679a2b246b8b6bb7fc55ed1c8096d3047d6d4461 | <|skeleton|>
class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int"""
<|body_0|>
def change_1(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int 280 ms"""
<|body_1|>
def change_2(self, amount, co... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def change(self, amount, coins):
""":type amount: int :type coins: List[int] :rtype: int"""
if coins == []:
return 1 if amount == 0 else 0
memory = {}
def dfs(cur_amount, i):
if (cur_amount, i) in memory:
return memory[cur_amou... | the_stack_v2_python_sparse | CoinChange2_MID_518.py | 953250587/leetcode-python | train | 2 | |
bc8a2517aab5e48fec6888834d29d716ecc8e937 | [
"if not a:\n return 0\nn = len(a)\nm = len(a[0])\nfor i in range(0, n, 1):\n for j in range(0, m, 1):\n if a[i][j] != 0:\n a = self.update_element(i, j, n, m, a)\nreturn a",
"p = (i, j)\nv = set([p])\nq = deque([p])\nd = 0\nc = 0\nt = len(q)\nwhile q:\n x, y = q.popleft()\n if a[x][y... | <|body_start_0|>
if not a:
return 0
n = len(a)
m = len(a[0])
for i in range(0, n, 1):
for j in range(0, m, 1):
if a[i][j] != 0:
a = self.update_element(i, j, n, m, a)
return a
<|end_body_0|>
<|body_start_1|>
p =... | Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue | Solution | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue"""
def update_matrix(self, a):
"""Determines minimum distance to... | stack_v2_sparse_classes_36k_train_002063 | 4,312 | permissive | [
{
"docstring": "Determines minimum distance to value \"0\" for all elements in 2D array. :param list[list[int]] a: input 2D array with elements :return: updated 2D array containing minimum distances from value \"0\" :rtype: list[list[int]]",
"name": "update_matrix",
"signature": "def update_matrix(self,... | 3 | stack_v2_sparse_classes_30k_train_001429 | Implement the Python class `Solution` described below.
Class description:
Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue
Method signatures and docstrings:
- d... | Implement the Python class `Solution` described below.
Class description:
Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue
Method signatures and docstrings:
- d... | 69f90877c5466927e8b081c4268cbcda074813ec | <|skeleton|>
class Solution:
"""Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue"""
def update_matrix(self, a):
"""Determines minimum distance to... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""Iterative breadth first search (BFS) across all elements in 2D array. Time complexity: O(n * m) - Amortized iterate over all rows and columns Space complexity: O(n * m) - Amortized store all values in queue"""
def update_matrix(self, a):
"""Determines minimum distance to value "0" fo... | the_stack_v2_python_sparse | 0542_01_matrix/python_source.py | arthurdysart/LeetCode | train | 0 |
5b35020d867bf112d6fca90d753216f8bbb72769 | [
"super().__init__(trainloader, valloader, model, num_classes, linear_layer, loss, device, logger)\nself.eta = eta\nself.device = device\nself.init_out = list()\nself.init_l1 = list()\nself.selection_type = selection_type\nself.valid = valid\nself.ss_indices = ss_indices",
"omp_start_time = time.time()\nself.updat... | <|body_start_0|>
super().__init__(trainloader, valloader, model, num_classes, linear_layer, loss, device, logger)
self.eta = eta
self.device = device
self.init_out = list()
self.init_l1 = list()
self.selection_type = selection_type
self.valid = valid
self.... | Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: |S| \\leq k} \\Vert \\sum_{i \\in S} w_i \\nabla_{\\theta}L_T^i(\\theta) - \\nabla_{\\... | AdapWeightsStrategy | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdapWeightsStrategy:
"""Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: |S| \\leq k} \\Vert \\sum_{i \\in S} w_... | stack_v2_sparse_classes_36k_train_002064 | 5,115 | permissive | [
{
"docstring": "Constructor method",
"name": "__init__",
"signature": "def __init__(self, trainloader, valloader, model, loss, eta, device, num_classes, linear_layer, selection_type, logger, ss_indices, valid=False)"
},
{
"docstring": "Apply OMP Algorithm for data selection Parameters ----------... | 2 | null | Implement the Python class `AdapWeightsStrategy` described below.
Class description:
Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: ... | Implement the Python class `AdapWeightsStrategy` described below.
Class description:
Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: ... | 8d10c7f5d96e071f98c20e4e9ff4c41c2c4ea2af | <|skeleton|>
class AdapWeightsStrategy:
"""Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: |S| \\leq k} \\Vert \\sum_{i \\in S} w_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AdapWeightsStrategy:
"""Implementation of GradMatch Strategy from the paper :footcite:`sivasubramanian2020gradmatch` for supervised learning frameworks. GradMatch strategy tries to solve the optimization problem given below: .. math:: \\min_{\\mathbf{w}, S: |S| \\leq k} \\Vert \\sum_{i \\in S} w_i \\nabla_{\\... | the_stack_v2_python_sparse | cords/selectionstrategies/SL/adapweightsstrategy.py | decile-team/cords | train | 289 |
d1e816ae2201f112f22607de404a53ca968d9ca1 | [
"self.name = name\nself.new_parent_id = new_parent_id\nself.objects = objects\nself.target = target",
"if dictionary is None:\n return None\nname = dictionary.get('name')\nnew_parent_id = dictionary.get('newParentId')\nobjects = None\nif dictionary.get('objects') != None:\n objects = list()\n for structu... | <|body_start_0|>
self.name = name
self.new_parent_id = new_parent_id
self.objects = objects
self.target = target
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
name = dictionary.get('name')
new_parent_id = dictionary.get('newParent... | Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique name. new_parent_id (long|int): Specifies a new registered parent Protection Source... | DeployTaskRequest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeployTaskRequest:
"""Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique name. new_parent_id (long|int): Specif... | stack_v2_sparse_classes_36k_train_002065 | 3,108 | permissive | [
{
"docstring": "Constructor for the DeployTaskRequest class",
"name": "__init__",
"signature": "def __init__(self, name=None, new_parent_id=None, objects=None, target=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary represe... | 2 | null | Implement the Python class `DeployTaskRequest` described below.
Class description:
Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique... | Implement the Python class `DeployTaskRequest` described below.
Class description:
Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class DeployTaskRequest:
"""Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique name. new_parent_id (long|int): Specif... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeployTaskRequest:
"""Implementation of the 'DeployTaskRequest' model. Specifies the settings for a Deploy Task that deploys VMs on cloud. Attributes: name (string, required): Specifies the name of the Deploy Task. This field must be set and must be a unique name. new_parent_id (long|int): Specifies a new reg... | the_stack_v2_python_sparse | cohesity_management_sdk/models/deploy_task_request.py | cohesity/management-sdk-python | train | 24 |
178bf1529054b61326d8129953cf53bf71a4d3a4 | [
"self.history = defaultdict(lambda: 0)\nfor i in xrange(len(sentences)):\n self.history[sentences[i]] += times[i]\nself.cur = ''\nself.last_result = list(self.history.iterkeys())\nself.store = {}",
"if c == '#':\n self.history[self.cur] += 1\n self.cur = ''\n self.last_result = list(self.history.iterk... | <|body_start_0|>
self.history = defaultdict(lambda: 0)
for i in xrange(len(sentences)):
self.history[sentences[i]] += times[i]
self.cur = ''
self.last_result = list(self.history.iterkeys())
self.store = {}
<|end_body_0|>
<|body_start_1|>
if c == '#':
... | AutocompleteSystem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.history = default... | stack_v2_sparse_classes_36k_train_002066 | 1,409 | no_license | [
{
"docstring": ":type sentences: List[str] :type times: List[int]",
"name": "__init__",
"signature": "def __init__(self, sentences, times)"
},
{
"docstring": ":type c: str :rtype: List[str]",
"name": "input",
"signature": "def input(self, c)"
}
] | 2 | null | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str] | Implement the Python class `AutocompleteSystem` described below.
Class description:
Implement the AutocompleteSystem class.
Method signatures and docstrings:
- def __init__(self, sentences, times): :type sentences: List[str] :type times: List[int]
- def input(self, c): :type c: str :rtype: List[str]
<|skeleton|>
cla... | db64a67869aae4f0e55e78b65a7e04f5bc2e671c | <|skeleton|>
class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
<|body_0|>
def input(self, c):
""":type c: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AutocompleteSystem:
def __init__(self, sentences, times):
""":type sentences: List[str] :type times: List[int]"""
self.history = defaultdict(lambda: 0)
for i in xrange(len(sentences)):
self.history[sentences[i]] += times[i]
self.cur = ''
self.last_result = l... | the_stack_v2_python_sparse | Questiondir/642.design-search-autocomplete-system/642.design-search-autocomplete-system_109796647.py | cczhong11/Leetcode-contest-code-downloader | train | 0 | |
ae246a68495cdff4c232a4db074f2f035e99addf | [
"self.data = None\nself._config = config\nself._hass = hass\nself.devices = []\nself.initialize(utcnow())",
"if self.data is None:\n self.initialize(utcnow())\nelse:\n self.refresh()",
"data_url = f'http://{self._config.get(CONF_HOST)}:{self._config.get(CONF_PORT)}/data.json'\ntry:\n response = request... | <|body_start_0|>
self.data = None
self._config = config
self._hass = hass
self.devices = []
self.initialize(utcnow())
<|end_body_0|>
<|body_start_1|>
if self.data is None:
self.initialize(utcnow())
else:
self.refresh()
<|end_body_1|>
<|bo... | Class used to pull data from OHM and create sensors. | OpenHardwareMonitorData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OpenHardwareMonitorData:
"""Class used to pull data from OHM and create sensors."""
def __init__(self, config, hass):
"""Initialize the Open Hardware Monitor data-handler."""
<|body_0|>
def update(self):
"""Hit by the timer with the configured interval."""
... | stack_v2_sparse_classes_36k_train_002067 | 6,124 | permissive | [
{
"docstring": "Initialize the Open Hardware Monitor data-handler.",
"name": "__init__",
"signature": "def __init__(self, config, hass)"
},
{
"docstring": "Hit by the timer with the configured interval.",
"name": "update",
"signature": "def update(self)"
},
{
"docstring": "Downlo... | 5 | null | Implement the Python class `OpenHardwareMonitorData` described below.
Class description:
Class used to pull data from OHM and create sensors.
Method signatures and docstrings:
- def __init__(self, config, hass): Initialize the Open Hardware Monitor data-handler.
- def update(self): Hit by the timer with the configure... | Implement the Python class `OpenHardwareMonitorData` described below.
Class description:
Class used to pull data from OHM and create sensors.
Method signatures and docstrings:
- def __init__(self, config, hass): Initialize the Open Hardware Monitor data-handler.
- def update(self): Hit by the timer with the configure... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class OpenHardwareMonitorData:
"""Class used to pull data from OHM and create sensors."""
def __init__(self, config, hass):
"""Initialize the Open Hardware Monitor data-handler."""
<|body_0|>
def update(self):
"""Hit by the timer with the configured interval."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class OpenHardwareMonitorData:
"""Class used to pull data from OHM and create sensors."""
def __init__(self, config, hass):
"""Initialize the Open Hardware Monitor data-handler."""
self.data = None
self._config = config
self._hass = hass
self.devices = []
self.in... | the_stack_v2_python_sparse | homeassistant/components/openhardwaremonitor/sensor.py | home-assistant/core | train | 35,501 |
259eb3ad5497a300701b7b84f5c372a9ce61641f | [
"super().__init__()\nself._logger = logging.getLogger('ConnectionDialog')\nself._logger.setLevel(LOG_LEVEL_PRINT)\nself._logger.info('Connection dialog initializing …')\nself.setWindowTitle('Connection Settings')\nself.resize(360, 240)\nself.setModal(True)\nself.initUI()\nself._logger.info('Connection dialog initia... | <|body_start_0|>
super().__init__()
self._logger = logging.getLogger('ConnectionDialog')
self._logger.setLevel(LOG_LEVEL_PRINT)
self._logger.info('Connection dialog initializing …')
self.setWindowTitle('Connection Settings')
self.resize(360, 240)
self.setModal(Tru... | Connection Dialog. A dialog to enter the IP of the board | ConnectionDialog | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConnectionDialog:
"""Connection Dialog. A dialog to enter the IP of the board"""
def __init__(self):
"""Initialize the connection dialog."""
<|body_0|>
def initUI(self):
"""Initialize the ui of the connection dialog."""
<|body_1|>
def setValues(self,... | stack_v2_sparse_classes_36k_train_002068 | 3,950 | permissive | [
{
"docstring": "Initialize the connection dialog.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Initialize the ui of the connection dialog.",
"name": "initUI",
"signature": "def initUI(self)"
},
{
"docstring": "Set the values. Values: ip, port, …",
... | 4 | stack_v2_sparse_classes_30k_train_003478 | Implement the Python class `ConnectionDialog` described below.
Class description:
Connection Dialog. A dialog to enter the IP of the board
Method signatures and docstrings:
- def __init__(self): Initialize the connection dialog.
- def initUI(self): Initialize the ui of the connection dialog.
- def setValues(self, ip,... | Implement the Python class `ConnectionDialog` described below.
Class description:
Connection Dialog. A dialog to enter the IP of the board
Method signatures and docstrings:
- def __init__(self): Initialize the connection dialog.
- def initUI(self): Initialize the ui of the connection dialog.
- def setValues(self, ip,... | e69f0c48f32ea122dec3a84db058a33786c666c5 | <|skeleton|>
class ConnectionDialog:
"""Connection Dialog. A dialog to enter the IP of the board"""
def __init__(self):
"""Initialize the connection dialog."""
<|body_0|>
def initUI(self):
"""Initialize the ui of the connection dialog."""
<|body_1|>
def setValues(self,... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConnectionDialog:
"""Connection Dialog. A dialog to enter the IP of the board"""
def __init__(self):
"""Initialize the connection dialog."""
super().__init__()
self._logger = logging.getLogger('ConnectionDialog')
self._logger.setLevel(LOG_LEVEL_PRINT)
self._logger.... | the_stack_v2_python_sparse | Bidirectional_interface/Haptics/Interface/src/connectionDialog.py | medioman22/Bidirectional_Interface | train | 0 |
e98ece502c8d3a7c028760254aa435727ca16cd3 | [
"boxes_scores.sort(key=lambda x: self._size_box(x[0], dataclass), reverse=True)\nidx_to_del = []\nfor idx1, (box1, score1) in enumerate(boxes_scores):\n contains = []\n for idx2, (box2, score2) in enumerate(boxes_scores):\n if box1 == box2:\n continue\n if box_in_box_dataclass(box2, b... | <|body_start_0|>
boxes_scores.sort(key=lambda x: self._size_box(x[0], dataclass), reverse=True)
idx_to_del = []
for idx1, (box1, score1) in enumerate(boxes_scores):
contains = []
for idx2, (box2, score2) in enumerate(boxes_scores):
if box1 == box2:
... | ResolveNested | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResolveNested:
def resolve_nested(self, boxes_scores, dataclass):
"""Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least one that has higher confidence than the given box delete the given box, otherwise delete all nested box... | stack_v2_sparse_classes_36k_train_002069 | 20,599 | no_license | [
{
"docstring": "Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least one that has higher confidence than the given box delete the given box, otherwise delete all nested boxes Args: boxes_scores: a list of (box, score) dataclass: row/column/cell Retu... | 2 | stack_v2_sparse_classes_30k_train_019177 | Implement the Python class `ResolveNested` described below.
Class description:
Implement the ResolveNested class.
Method signatures and docstrings:
- def resolve_nested(self, boxes_scores, dataclass): Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least o... | Implement the Python class `ResolveNested` described below.
Class description:
Implement the ResolveNested class.
Method signatures and docstrings:
- def resolve_nested(self, boxes_scores, dataclass): Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least o... | 4c9970151294006fdafaba3c2ca84b7c04da97e7 | <|skeleton|>
class ResolveNested:
def resolve_nested(self, boxes_scores, dataclass):
"""Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least one that has higher confidence than the given box delete the given box, otherwise delete all nested box... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResolveNested:
def resolve_nested(self, boxes_scores, dataclass):
"""Sort boxes_scores from biggest to smallest box. If a given box contain other boxes and among them there is at least one that has higher confidence than the given box delete the given box, otherwise delete all nested boxes Args: boxes... | the_stack_v2_python_sparse | detectron2_tables/postproc_maskrcnn.py | akmaral-yes/table_structure_recognition_using_detectron2 | train | 4 | |
42912a1b4d876e863cae4b560b54ba3ec39ab1b9 | [
"super().__init__(*args, **kwargs)\nself._aug_numberofoptions = aug_numberofoptions\nself._aug_degreeofrotation = aug_degreeofrotation\nself._aug_linethickness = aug_linethickness\nself._aug_diameter = aug_diameter\nself._aug_amountpoints = aug_amountpoints\nself._augmentation_to_text = augmentation_to_text",
"if... | <|body_start_0|>
super().__init__(*args, **kwargs)
self._aug_numberofoptions = aug_numberofoptions
self._aug_degreeofrotation = aug_degreeofrotation
self._aug_linethickness = aug_linethickness
self._aug_diameter = aug_diameter
self._aug_amountpoints = aug_amountpoints
... | Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations | BTFCA | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BTFCA:
"""Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations"""
def __init__(self, aug_degreeofrotation: int, aug_linethickness: int, aug_numberofoptions: int, aug_diameter: int, aug_amountpoints: int, augmentation_to_text: bool=False, *... | stack_v2_sparse_classes_36k_train_002070 | 4,703 | no_license | [
{
"docstring": "Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations :param int aug_degreeofrotation: Max text rotate :param int aug_linethickness: Thickness Augmentation Patterns :param int aug_numberofoptions: Count drw augmentation :param int aug_diameter:... | 4 | stack_v2_sparse_classes_30k_train_017239 | Implement the Python class `BTFCA` described below.
Class description:
Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations
Method signatures and docstrings:
- def __init__(self, aug_degreeofrotation: int, aug_linethickness: int, aug_numberofoptions: int, aug_diame... | Implement the Python class `BTFCA` described below.
Class description:
Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations
Method signatures and docstrings:
- def __init__(self, aug_degreeofrotation: int, aug_linethickness: int, aug_numberofoptions: int, aug_diame... | 368097c53053470bf6d165606c0dffd7f6256eae | <|skeleton|>
class BTFCA:
"""Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations"""
def __init__(self, aug_degreeofrotation: int, aug_linethickness: int, aug_numberofoptions: int, aug_diameter: int, aug_amountpoints: int, augmentation_to_text: bool=False, *... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BTFCA:
"""Algorithm for full iteration: -> Backgrounds -> Texts -> Fonts and fonts sized -> Colors -> Augmentations"""
def __init__(self, aug_degreeofrotation: int, aug_linethickness: int, aug_numberofoptions: int, aug_diameter: int, aug_amountpoints: int, augmentation_to_text: bool=False, *args, **kwarg... | the_stack_v2_python_sparse | mnist_generator/algorithms/btfca.py | nxexox/mnist-generator | train | 0 |
7110959be2ee5ceedacd118b62ca50d7e73f81ab | [
"for base in [b for b in bases if b != object]:\n derived = cls\n attribute = '_%s__implementors' % base.__name__\n if hasattr(base, attribute):\n getattr(base, attribute).append(derived)\n else:\n setattr(base, attribute, [derived])\ncls._logger = logger.getLogger('{}.{}'.format(cls.__mod... | <|body_start_0|>
for base in [b for b in bases if b != object]:
derived = cls
attribute = '_%s__implementors' % base.__name__
if hasattr(base, attribute):
getattr(base, attribute).append(derived)
else:
setattr(base, attribute, [deri... | UberMeta | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UberMeta:
def __init__(cls, name, bases, namespace):
"""Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I create. I add an `init_args` attribute to the class."""
<|body_0|>
def __new__(cls, class... | stack_v2_sparse_classes_36k_train_002071 | 22,889 | permissive | [
{
"docstring": "Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I create. I add an `init_args` attribute to the class.",
"name": "__init__",
"signature": "def __init__(cls, name, bases, namespace)"
},
{
"docstring": ... | 2 | null | Implement the Python class `UberMeta` described below.
Class description:
Implement the UberMeta class.
Method signatures and docstrings:
- def __init__(cls, name, bases, namespace): Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I creat... | Implement the Python class `UberMeta` described below.
Class description:
Implement the UberMeta class.
Method signatures and docstrings:
- def __init__(cls, name, bases, namespace): Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I creat... | ee2806b4c93748e716294c42454d611415da7b5e | <|skeleton|>
class UberMeta:
def __init__(cls, name, bases, namespace):
"""Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I create. I add an `init_args` attribute to the class."""
<|body_0|>
def __new__(cls, class... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UberMeta:
def __init__(cls, name, bases, namespace):
"""Metaclass of :class:`BasicInterface`. I tell base classes when I derive a new class from them. I create a logger for each class I create. I add an `init_args` attribute to the class."""
for base in [b for b in bases if b != object]:
... | the_stack_v2_python_sparse | src/pymor/core/interfaces.py | mahgadalla/pymor | train | 1 | |
5a14ea8a60638680f440c7251be330c65f5a09d9 | [
"self._check_workout_permissions(workout_fk)\nworkoutset_queryset = WorkoutSet.objects.filter(workout_fk=workout_fk).select_related('workout_fk', 'exercise_fk')\nserializer = WorkoutSetGetSerializer(workoutset_queryset, many=True)\nreturn Response(serializer.data)",
"serializer = WorkoutSetBaseSerializer(data=req... | <|body_start_0|>
self._check_workout_permissions(workout_fk)
workoutset_queryset = WorkoutSet.objects.filter(workout_fk=workout_fk).select_related('workout_fk', 'exercise_fk')
serializer = WorkoutSetGetSerializer(workoutset_queryset, many=True)
return Response(serializer.data)
<|end_body... | GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight. Result includes serialized Workout and Exercise foreign key relationships See n... | WorkoutSetList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkoutSetList:
"""GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight. Result includes serialized Workout an... | stack_v2_sparse_classes_36k_train_002072 | 4,956 | no_license | [
{
"docstring": "Retrieve all the WorkoutSet records for a given Workout.",
"name": "get",
"signature": "def get(self, request, workout_fk, format=None)"
},
{
"docstring": "Create a new WorkoutSet for a given Workout.",
"name": "post",
"signature": "def post(self, request, workout_fk, for... | 3 | stack_v2_sparse_classes_30k_train_015490 | Implement the Python class `WorkoutSetList` described below.
Class description:
GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight... | Implement the Python class `WorkoutSetList` described below.
Class description:
GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight... | 829e1a721e2382489f2cf0f730b2c462ecc54722 | <|skeleton|>
class WorkoutSetList:
"""GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight. Result includes serialized Workout an... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WorkoutSetList:
"""GET and POST using a Workout. GET - List all the WorkoutSet records for a Workout. Result includes serialized Workout and Exercise foreign key relationships POST - Create a new WorkoutSet for a Workout. Input - has special logic for weight. Result includes serialized Workout and Exercise fo... | the_stack_v2_python_sparse | bigfitnessgains/apps/mainapp/rest_api/workoutset.py | AnthonyHonstain/bigfitnessgains | train | 0 |
e35a7ffd743fc620b43e37d34c88bbef9f7c9237 | [
"np.seterr(all='ignore')\nself.debug = debug\nself.a, self.b, self.n, self.m = map(int, input().split())\nif self.n > self.m:\n self.big = self.n\nelse:\n self.big = self.m\nself.B = [0 for i in range(self.big + 1)]\nself.B[0] = 0\nself.B[1] = 1\nif self.debug:\n print('a b n m : ', self.a, self.b, self.n,... | <|body_start_0|>
np.seterr(all='ignore')
self.debug = debug
self.a, self.b, self.n, self.m = map(int, input().split())
if self.n > self.m:
self.big = self.n
else:
self.big = self.m
self.B = [0 for i in range(self.big + 1)]
self.B[0] = 0
... | GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 10^18 debug : int debug mode Methods ------- __init__() input getB() compute B... | PermuMatch | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PermuMatch:
"""GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 10^18 debug : int debug mode Methods ---... | stack_v2_sparse_classes_36k_train_002073 | 2,020 | no_license | [
{
"docstring": "input",
"name": "__init__",
"signature": "def __init__(self, debug=0)"
},
{
"docstring": "Bn = a*Bn-1 + b*Bn-2",
"name": "getB",
"signature": "def getB(self)"
},
{
"docstring": "GCD GCD : 유클리드 호제법",
"name": "gcd",
"signature": "def gcd(self)"
}
] | 3 | null | Implement the Python class `PermuMatch` described below.
Class description:
GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 1... | Implement the Python class `PermuMatch` described below.
Class description:
GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 1... | 2fb6246be3bf48eb8ad626217300a1a9328f541a | <|skeleton|>
class PermuMatch:
"""GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 10^18 debug : int debug mode Methods ---... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PermuMatch:
"""GCD and Permutatin Match url : https://codeup.kr/problem.php?id=2127 a , b, n ,m Bn = a*Bn-1 + b*Bn-2 gcd(Bn,Bm) Match Number : 998244353 Attributes ---------- n : int n>2 < 10^18 m : int m>2 < 10^18 a : int coprime < 10^18 b : int coprime < 10^18 debug : int debug mode Methods ------- __init__... | the_stack_v2_python_sparse | 2022/4.py | cheoljoo/problemSolving | train | 1 |
2c6417f9dd08156cca5825a6d3dd184d08658860 | [
"if isinstance(block, FormFieldBlockMixin):\n return [BlockField(block, value)]\nelse:\n raise Exception('Block does not inherit from FormFieldBlockMixin.')",
"form_fields = []\nfor key in block.child_blocks:\n form_fields += self.find_form_fields(block.child_blocks[key], value[key])\nreturn form_fields"... | <|body_start_0|>
if isinstance(block, FormFieldBlockMixin):
return [BlockField(block, value)]
else:
raise Exception('Block does not inherit from FormFieldBlockMixin.')
<|end_body_0|>
<|body_start_1|>
form_fields = []
for key in block.child_blocks:
for... | Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class SpecialFormFieldFinder(FormFieldFinder): def handle_special_form_field_block(self, bloc... | FormFieldFinder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FormFieldFinder:
"""Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class SpecialFormFieldFinder(FormFieldFinder): def... | stack_v2_sparse_classes_36k_train_002074 | 7,905 | permissive | [
{
"docstring": "This is the base case and allows the recursion to stop.",
"name": "handle_form_field_block",
"signature": "def handle_form_field_block(self, block, value)"
},
{
"docstring": "Handles looping through StructBlock fields.",
"name": "handle_struct_block",
"signature": "def ha... | 5 | stack_v2_sparse_classes_30k_val_000647 | Implement the Python class `FormFieldFinder` described below.
Class description:
Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class Speci... | Implement the Python class `FormFieldFinder` described below.
Class description:
Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class Speci... | 70cd0f594860f5561a8afd90397aa30db69c76b4 | <|skeleton|>
class FormFieldFinder:
"""Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class SpecialFormFieldFinder(FormFieldFinder): def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FormFieldFinder:
"""Class that handles finding all nested form fields recursively. Adding to this class requires adding new handle methods and overriding the find_form_fields function. If you have a special form field that needs special handling: class SpecialFormFieldFinder(FormFieldFinder): def handle_speci... | the_stack_v2_python_sparse | wagtailstreamfieldforms/models.py | didorothy/wagtailstreamfieldforms | train | 0 |
bcf1b9c13fa954c345b9ae9778b1cea8e402d049 | [
"super(Expmap0, self).__init__()\nself.clamp_min = ClampMin()\nself.min_norm = min_norm\nself.clamp_tanh = ClampTanh()\nself.norm_k = Norm(axis=-1, keep_dims=True)",
"sqrt_c = c ** 0.5\nu_norm = self.clamp_min(self.norm_k(u), self.min_norm)\ngamma_1 = self.clamp_tanh(sqrt_c * u_norm) * u / (sqrt_c * u_norm)\nretu... | <|body_start_0|>
super(Expmap0, self).__init__()
self.clamp_min = ClampMin()
self.min_norm = min_norm
self.clamp_tanh = ClampTanh()
self.norm_k = Norm(axis=-1, keep_dims=True)
<|end_body_0|>
<|body_start_1|>
sqrt_c = c ** 0.5
u_norm = self.clamp_min(self.norm_k(u... | expmap0 class | Expmap0 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Expmap0:
"""expmap0 class"""
def __init__(self, min_norm):
"""init fun"""
<|body_0|>
def construct(self, u, c):
"""constructfun"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(Expmap0, self).__init__()
self.clamp_min = ClampMin()
... | stack_v2_sparse_classes_36k_train_002075 | 8,596 | permissive | [
{
"docstring": "init fun",
"name": "__init__",
"signature": "def __init__(self, min_norm)"
},
{
"docstring": "constructfun",
"name": "construct",
"signature": "def construct(self, u, c)"
}
] | 2 | null | Implement the Python class `Expmap0` described below.
Class description:
expmap0 class
Method signatures and docstrings:
- def __init__(self, min_norm): init fun
- def construct(self, u, c): constructfun | Implement the Python class `Expmap0` described below.
Class description:
expmap0 class
Method signatures and docstrings:
- def __init__(self, min_norm): init fun
- def construct(self, u, c): constructfun
<|skeleton|>
class Expmap0:
"""expmap0 class"""
def __init__(self, min_norm):
"""init fun"""
... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class Expmap0:
"""expmap0 class"""
def __init__(self, min_norm):
"""init fun"""
<|body_0|>
def construct(self, u, c):
"""constructfun"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Expmap0:
"""expmap0 class"""
def __init__(self, min_norm):
"""init fun"""
super(Expmap0, self).__init__()
self.clamp_min = ClampMin()
self.min_norm = min_norm
self.clamp_tanh = ClampTanh()
self.norm_k = Norm(axis=-1, keep_dims=True)
def construct(self,... | the_stack_v2_python_sparse | research/nlp/hypertext/src/poincare.py | mindspore-ai/models | train | 301 |
87e44abc995ea8c2fe2c240163e13407defd6ee4 | [
"counter_1 = Counter(nums1)\ncounter_2 = Counter(nums2)\nsmaller = counter_1 if len(counter_1) <= len(counter_2) else counter_2\nbigger = counter_1 if len(counter_1) > len(counter_2) else counter_2\nprint(smaller, bigger)\nprint(f'counter 1: {counter_1}, size: {len(counter_1)}')\nprint(f'counter 2: {counter_2}, siz... | <|body_start_0|>
counter_1 = Counter(nums1)
counter_2 = Counter(nums2)
smaller = counter_1 if len(counter_1) <= len(counter_2) else counter_2
bigger = counter_1 if len(counter_1) > len(counter_2) else counter_2
print(smaller, bigger)
print(f'counter 1: {counter_1}, size: ... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def intersect_v1(self, nums1, nums2):
"""Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in both arrays. - The result can be in any order. :type nums1: List[int] :type nums2: List[int] :rtype:... | stack_v2_sparse_classes_36k_train_002076 | 2,192 | permissive | [
{
"docstring": "Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in both arrays. - The result can be in any order. :type nums1: List[int] :type nums2: List[int] :rtype: List[int]",
"name": "intersect_v1",
"signature": "... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def intersect_v1(self, nums1, nums2): Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in bot... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def intersect_v1(self, nums1, nums2): Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in bot... | 547c200b627c774535bc22880b16d5390183aeba | <|skeleton|>
class Solution:
def intersect_v1(self, nums1, nums2):
"""Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in both arrays. - The result can be in any order. :type nums1: List[int] :type nums2: List[int] :rtype:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def intersect_v1(self, nums1, nums2):
"""Function to compute their intersection of given two arrays Note: - Each element in the result should appear as many times as it shows in both arrays. - The result can be in any order. :type nums1: List[int] :type nums2: List[int] :rtype: List[int]"""
... | the_stack_v2_python_sparse | easy/350_two_array_intersection_II.py | Sukhrobjon/leetcode | train | 0 | |
da7843c77aa939dccf390f3401d857bba2556c3c | [
"ds, _ = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)\nself.data_train = ds['train']\nself.data_valid = ds['validation']\ntokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)\nself.tokenizer_pt = tokenizer_pt\nself.tokenizer_en = tokenizer_en\nself.data_train = self.da... | <|body_start_0|>
ds, _ = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)
self.data_train = ds['train']
self.data_valid = ds['validation']
tokenizer_pt, tokenizer_en = self.tokenize_dataset(self.data_train)
self.tokenizer_pt = tokenizer_pt
self... | Loads and preps a dataset for machine translation | Dataset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self):
"""Constructor"""
<|body_0|>
def tokenize_dataset(self, data):
"""Function that creates sub-word tokenizers for our dataset"""
<|body_1|>
def encode(self, pt, en):
... | stack_v2_sparse_classes_36k_train_002077 | 2,043 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Function that creates sub-word tokenizers for our dataset",
"name": "tokenize_dataset",
"signature": "def tokenize_dataset(self, data)"
},
{
"docstring": "Method that encodes a ... | 4 | stack_v2_sparse_classes_30k_train_002599 | Implement the Python class `Dataset` described below.
Class description:
Loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): Constructor
- def tokenize_dataset(self, data): Function that creates sub-word tokenizers for our dataset
- def encode(self, pt, en): Metho... | Implement the Python class `Dataset` described below.
Class description:
Loads and preps a dataset for machine translation
Method signatures and docstrings:
- def __init__(self): Constructor
- def tokenize_dataset(self, data): Function that creates sub-word tokenizers for our dataset
- def encode(self, pt, en): Metho... | c7b6ea4c37b7c5dc41e63cdb8142b3cdfb3e1d23 | <|skeleton|>
class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self):
"""Constructor"""
<|body_0|>
def tokenize_dataset(self, data):
"""Function that creates sub-word tokenizers for our dataset"""
<|body_1|>
def encode(self, pt, en):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Dataset:
"""Loads and preps a dataset for machine translation"""
def __init__(self):
"""Constructor"""
ds, _ = tfds.load('ted_hrlr_translate/pt_to_en', with_info=True, as_supervised=True)
self.data_train = ds['train']
self.data_valid = ds['validation']
tokenizer_pt... | the_stack_v2_python_sparse | supervised_learning/0x12-transformer_apps/2-dataset.py | linkjavier/holbertonschool-machine_learning | train | 0 |
28e3fc66345dc7b141a2e1659141703a38e8c9b5 | [
"def inorder(root):\n if root:\n inorder(root.left)\n res.append(root)\n inorder(root.right)\nres = []\ninorder(root)\nvalue = [node.val for node in res]\nvalue.sort()\nfor i in range(len(res)):\n res[i].val = value[i]",
"def inorder(root):\n if root:\n inorder(root.left)\n ... | <|body_start_0|>
def inorder(root):
if root:
inorder(root.left)
res.append(root)
inorder(root.right)
res = []
inorder(root)
value = [node.val for node in res]
value.sort()
for i in range(len(res)):
re... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def recoverTree1(self, root: TreeNode) -> None:
"""思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:"""
<|body_0|>
def recoverTree2(self, root: TreeNode) -> None:
"""关键点：两个交换的元素会构成两个（或一个）逆序对 @param root: @return:"... | stack_v2_sparse_classes_36k_train_002078 | 4,014 | no_license | [
{
"docstring": "思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:",
"name": "recoverTree1",
"signature": "def recoverTree1(self, root: TreeNode) -> None"
},
{
"docstring": "关键点：两个交换的元素会构成两个（或一个）逆序对 @param root: @return:",
"name": "recoverTree2",
... | 4 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree1(self, root: TreeNode) -> None: 思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:
- def recoverTree2(self, root: TreeN... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def recoverTree1(self, root: TreeNode) -> None: 思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:
- def recoverTree2(self, root: TreeN... | e43ee86c5a8cdb808da09b4b6138e10275abadb5 | <|skeleton|>
class Solution:
def recoverTree1(self, root: TreeNode) -> None:
"""思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:"""
<|body_0|>
def recoverTree2(self, root: TreeNode) -> None:
"""关键点：两个交换的元素会构成两个（或一个）逆序对 @param root: @return:"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def recoverTree1(self, root: TreeNode) -> None:
"""思路：二叉搜索树中序遍历的结果应该是从小到大排好序的 1. 中序遍历获取每个节点root 2. 将节点的值排序 3. 将节点的对象和值一一对应 @param root: @return:"""
def inorder(root):
if root:
inorder(root.left)
res.append(root)
inorder(root... | the_stack_v2_python_sparse | LeetCode/树(Binary Tree)/99. 恢复二叉搜索树.py | yiming1012/MyLeetCode | train | 2 | |
b944d90d4784de8c2f92b8ac1bae26e5718db186 | [
"super(SignalEncoder, self).__init__()\nif isinstance(signal_dim, int):\n signal_dim = (signal_dim,)\nif not 0 < len(signal_dim) < 3:\n raise AssertionError('signal dimensionality must be to 1D or 2D')\nndim = 2 if len(signal_dim) == 2 else 1\nself.downsample = kwargs.get('downsampling', 0)\nbn = kwargs.get('... | <|body_start_0|>
super(SignalEncoder, self).__init__()
if isinstance(signal_dim, int):
signal_dim = (signal_dim,)
if not 0 < len(signal_dim) < 3:
raise AssertionError('signal dimensionality must be to 1D or 2D')
ndim = 2 if len(signal_dim) == 2 else 1
self... | Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers: Number of convolutional layers nb_filters: Number of convolutional filters (ak... | SignalEncoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SignalEncoder:
"""Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers: Number of convolutional layers nb_fil... | stack_v2_sparse_classes_36k_train_002079 | 28,462 | permissive | [
{
"docstring": "Initialize module parameters",
"name": "__init__",
"signature": "def __init__(self, signal_dim: Tuple[int], z_dim: int, nb_layers: int, nb_filters: int, **kwargs: int) -> None"
},
{
"docstring": "Embeddes the input signal into a latent vector",
"name": "forward",
"signatu... | 2 | stack_v2_sparse_classes_30k_train_008411 | Implement the Python class `SignalEncoder` described below.
Class description:
Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers... | Implement the Python class `SignalEncoder` described below.
Class description:
Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers... | 6d187296074143d017ca8fc60302364cd946b180 | <|skeleton|>
class SignalEncoder:
"""Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers: Number of convolutional layers nb_fil... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SignalEncoder:
"""Encodes 1D/2D signal into a latent vector Args: signal_dim: Size of input signal. For images, it is (height, width). For spectra, it is (length,) z_dim: Number of fully-connected neurons in a "bottleneck layer" (latent dimensions) nb_layers: Number of convolutional layers nb_filters: Number ... | the_stack_v2_python_sparse | atomai/nets/ed.py | pycroscopy/atomai | train | 157 |
020f680e8b4899f3efe2c3fecd65f5e23fb48f57 | [
"some_categories = create_some_categories()\nsome_tags = create_some_tags()\nfuture_test = create_test(category=some_categories[0], tags=some_tags[2:], name='Тест с будущей датой публикации', publishing_days_offset=30)\nresponse = self.client.get(reverse('test_detail', args=(future_test.id,)))\nself.assertRedirects... | <|body_start_0|>
some_categories = create_some_categories()
some_tags = create_some_tags()
future_test = create_test(category=some_categories[0], tags=some_tags[2:], name='Тест с будущей датой публикации', publishing_days_offset=30)
response = self.client.get(reverse('test_detail', args=... | Класс с тестами для представления test_detail | TestDetailViewTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestDetailViewTests:
"""Класс с тестами для представления test_detail"""
def test_detail_view_with_a_future_test(self):
"""Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать перенаправление"""
<|body_0|>
def test_detail... | stack_v2_sparse_classes_36k_train_002080 | 43,023 | no_license | [
{
"docstring": "Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать перенаправление",
"name": "test_detail_view_with_a_future_test",
"signature": "def test_detail_view_with_a_future_test(self)"
},
{
"docstring": "Подробное представление, странич... | 2 | null | Implement the Python class `TestDetailViewTests` described below.
Class description:
Класс с тестами для представления test_detail
Method signatures and docstrings:
- def test_detail_view_with_a_future_test(self): Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать п... | Implement the Python class `TestDetailViewTests` described below.
Class description:
Класс с тестами для представления test_detail
Method signatures and docstrings:
- def test_detail_view_with_a_future_test(self): Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать п... | b4f7557cadb70a4688ce7e76992917c610f2b3c1 | <|skeleton|>
class TestDetailViewTests:
"""Класс с тестами для представления test_detail"""
def test_detail_view_with_a_future_test(self):
"""Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать перенаправление"""
<|body_0|>
def test_detail... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestDetailViewTests:
"""Класс с тестами для представления test_detail"""
def test_detail_view_with_a_future_test(self):
"""Подробное представление, страничка теста с будущей либо отсутствующей датой публикации должно выдавать перенаправление"""
some_categories = create_some_categories()
... | the_stack_v2_python_sparse | octapp/tests.py | Cheltigmashev/oct | train | 0 |
1d1c309cb307e861c7e6728ad8d18039797e7c89 | [
"if not head or not head.next:\n return head\nfirstNode = head\nsecondNode = head.next\nfirstNode.next = self.swapPairs(secondNode.next)\nsecondNode.next = firstNode\nreturn secondNode",
"dummyNode = ListNode(0)\ndummyNode.next = head\npreNode = dummyNode\nwhile head and head.next:\n firstNode = head\n s... | <|body_start_0|>
if not head or not head.next:
return head
firstNode = head
secondNode = head.next
firstNode.next = self.swapPairs(secondNode.next)
secondNode.next = firstNode
return secondNode
<|end_body_0|>
<|body_start_1|>
dummyNode = ListNode(0)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理"""
<|body_0|>
def fun2(self, head):
"""迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or not head.next:
return head
firstNode = ... | stack_v2_sparse_classes_36k_train_002081 | 1,289 | no_license | [
{
"docstring": "递归处理",
"name": "swapPairs",
"signature": "def swapPairs(self, head)"
},
{
"docstring": "迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继",
"name": "fun2",
"signature": "def fun2(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): 递归处理
- def fun2(self, head): 迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def swapPairs(self, head): 递归处理
- def fun2(self, head): 迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继
<|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理""... | 0b10f5731690da7998add288e4b0b87d5d71a97e | <|skeleton|>
class Solution:
def swapPairs(self, head):
"""递归处理"""
<|body_0|>
def fun2(self, head):
"""迭代处理 1. 维护好待交换两节点的前驱和后继 2. 搞清楚待交换两节点的前驱和后继"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def swapPairs(self, head):
"""递归处理"""
if not head or not head.next:
return head
firstNode = head
secondNode = head.next
firstNode.next = self.swapPairs(secondNode.next)
secondNode.next = firstNode
return secondNode
def fun2(sel... | the_stack_v2_python_sparse | leetcode/leetcode/24.两两交换链表中的节点.py | GGL12/myStudy | train | 0 | |
99c13fed045c7752c3fcade7186736b464552908 | [
"self.owner = owner\nself.cardFinder = IndexInZone(index, HAND)\nCommand.__init__(self, [CurrentPlayer(), NoRequest(), self.cardFinder])",
"coroutine = self.owner.playCardFromHand(self.cardFinder.card)\nresponse = (yield coroutine.next())\nwhile True:\n response = (yield coroutine.send(response))"
] | <|body_start_0|>
self.owner = owner
self.cardFinder = IndexInZone(index, HAND)
Command.__init__(self, [CurrentPlayer(), NoRequest(), self.cardFinder])
<|end_body_0|>
<|body_start_1|>
coroutine = self.owner.playCardFromHand(self.cardFinder.card)
response = (yield coroutine.next()... | Represents a Command to play a card | PlayCard | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlayCard:
"""Represents a Command to play a card"""
def __init__(self, index, owner):
"""Initialize the Play Card Command"""
<|body_0|>
def perform(self):
"""Perform the command"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.owner = owner
... | stack_v2_sparse_classes_36k_train_002082 | 859 | no_license | [
{
"docstring": "Initialize the Play Card Command",
"name": "__init__",
"signature": "def __init__(self, index, owner)"
},
{
"docstring": "Perform the command",
"name": "perform",
"signature": "def perform(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014377 | Implement the Python class `PlayCard` described below.
Class description:
Represents a Command to play a card
Method signatures and docstrings:
- def __init__(self, index, owner): Initialize the Play Card Command
- def perform(self): Perform the command | Implement the Python class `PlayCard` described below.
Class description:
Represents a Command to play a card
Method signatures and docstrings:
- def __init__(self, index, owner): Initialize the Play Card Command
- def perform(self): Perform the command
<|skeleton|>
class PlayCard:
"""Represents a Command to pla... | 0b5a7573a3cf33430fe61e4ff8a8a7a0ae20b258 | <|skeleton|>
class PlayCard:
"""Represents a Command to play a card"""
def __init__(self, index, owner):
"""Initialize the Play Card Command"""
<|body_0|>
def perform(self):
"""Perform the command"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PlayCard:
"""Represents a Command to play a card"""
def __init__(self, index, owner):
"""Initialize the Play Card Command"""
self.owner = owner
self.cardFinder = IndexInZone(index, HAND)
Command.__init__(self, [CurrentPlayer(), NoRequest(), self.cardFinder])
def perfo... | the_stack_v2_python_sparse | src/Game/Commands/play_card.py | dfwarden/DeckBuilding | train | 0 |
7c5b8448c0b0acdfb57aec2531bc1fa96947ca64 | [
"next_index = next_object_key(self)\ndl = DistributedLoad(member, x_mag_A, y_mag_A, z_mag_A, x_mag_B, y_mag_B, z_mag_B, position_A, position_B, load_group, axes)\nsetattr(self, str(next_index), dl)\nreturn next_index",
"found_id = None\nfor k, v in vars(self).items():\n if v.member == element_id:\n foun... | <|body_start_0|>
next_index = next_object_key(self)
dl = DistributedLoad(member, x_mag_A, y_mag_A, z_mag_A, x_mag_B, y_mag_B, z_mag_B, position_A, position_B, load_group, axes)
setattr(self, str(next_index), dl)
return next_index
<|end_body_0|>
<|body_start_1|>
found_id = None
... | Creates an instance of the SkyCiv DistributedLoads class. | DistributedLoads | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DistributedLoads:
"""Creates an instance of the SkyCiv DistributedLoads class."""
def add(self, member: int, x_mag_A: float=0, y_mag_A: float=0, z_mag_A: float=0, x_mag_B: float=0, y_mag_B: float=0, z_mag_B: float=0, position_A: float=0, position_B: float=0, load_group: str=None, axes: str='... | stack_v2_sparse_classes_36k_train_002083 | 3,139 | permissive | [
{
"docstring": "Create a distributed load with the next available ID. Args: member (int): Member to which the distributed load will be applied. Identified by the member ID. x_mag_A (float, optional): The magnitude of the load in the x-direction at the starting position A. Defaults to 0. y_mag_A (float, optional... | 2 | stack_v2_sparse_classes_30k_train_003453 | Implement the Python class `DistributedLoads` described below.
Class description:
Creates an instance of the SkyCiv DistributedLoads class.
Method signatures and docstrings:
- def add(self, member: int, x_mag_A: float=0, y_mag_A: float=0, z_mag_A: float=0, x_mag_B: float=0, y_mag_B: float=0, z_mag_B: float=0, positio... | Implement the Python class `DistributedLoads` described below.
Class description:
Creates an instance of the SkyCiv DistributedLoads class.
Method signatures and docstrings:
- def add(self, member: int, x_mag_A: float=0, y_mag_A: float=0, z_mag_A: float=0, x_mag_B: float=0, y_mag_B: float=0, z_mag_B: float=0, positio... | 1cf3dad7f8d451760df02886df41684add72a4eb | <|skeleton|>
class DistributedLoads:
"""Creates an instance of the SkyCiv DistributedLoads class."""
def add(self, member: int, x_mag_A: float=0, y_mag_A: float=0, z_mag_A: float=0, x_mag_B: float=0, y_mag_B: float=0, z_mag_B: float=0, position_A: float=0, position_B: float=0, load_group: str=None, axes: str='... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DistributedLoads:
"""Creates an instance of the SkyCiv DistributedLoads class."""
def add(self, member: int, x_mag_A: float=0, y_mag_A: float=0, z_mag_A: float=0, x_mag_B: float=0, y_mag_B: float=0, z_mag_B: float=0, position_A: float=0, position_B: float=0, load_group: str=None, axes: str='global') -> i... | the_stack_v2_python_sparse | src/skyciv/classes/model/components/distributed_loads/distributed_loads.py | osasanchezme/skyciv-pip | train | 0 |
e04242250f992869973718c1213a648061cc6d43 | [
"self.ai_settings = ai_settings\nself.reset_stats()\nself.game_active = False\nself.button_clicked = False\nself.high_score = 0\nself.file_name = 'save/high_score.json'",
"self.ships_left = self.ai_settings.ship_limit\nself.score = 0\nself.level = 1"
] | <|body_start_0|>
self.ai_settings = ai_settings
self.reset_stats()
self.game_active = False
self.button_clicked = False
self.high_score = 0
self.file_name = 'save/high_score.json'
<|end_body_0|>
<|body_start_1|>
self.ships_left = self.ai_settings.ship_limit
... | 跟踪游戏的统计信息 | GameStates | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GameStates:
"""跟踪游戏的统计信息"""
def __init__(self, ai_settings):
"""初始化统计信息"""
<|body_0|>
def reset_stats(self):
"""初始化在游戏运行期间可能变化的统计信息"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.ai_settings = ai_settings
self.reset_stats()
... | stack_v2_sparse_classes_36k_train_002084 | 938 | no_license | [
{
"docstring": "初始化统计信息",
"name": "__init__",
"signature": "def __init__(self, ai_settings)"
},
{
"docstring": "初始化在游戏运行期间可能变化的统计信息",
"name": "reset_stats",
"signature": "def reset_stats(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010395 | Implement the Python class `GameStates` described below.
Class description:
跟踪游戏的统计信息
Method signatures and docstrings:
- def __init__(self, ai_settings): 初始化统计信息
- def reset_stats(self): 初始化在游戏运行期间可能变化的统计信息 | Implement the Python class `GameStates` described below.
Class description:
跟踪游戏的统计信息
Method signatures and docstrings:
- def __init__(self, ai_settings): 初始化统计信息
- def reset_stats(self): 初始化在游戏运行期间可能变化的统计信息
<|skeleton|>
class GameStates:
"""跟踪游戏的统计信息"""
def __init__(self, ai_settings):
"""初始化统计信息""... | 69c9018bb70893f74a44e4df9f3d3e39467de3f6 | <|skeleton|>
class GameStates:
"""跟踪游戏的统计信息"""
def __init__(self, ai_settings):
"""初始化统计信息"""
<|body_0|>
def reset_stats(self):
"""初始化在游戏运行期间可能变化的统计信息"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GameStates:
"""跟踪游戏的统计信息"""
def __init__(self, ai_settings):
"""初始化统计信息"""
self.ai_settings = ai_settings
self.reset_stats()
self.game_active = False
self.button_clicked = False
self.high_score = 0
self.file_name = 'save/high_score.json'
def re... | the_stack_v2_python_sparse | 1-books/book1_Python编程从入门到实践/ailen_invasion/game_stats.py | TinyHandsome/BookStudy | train | 18 |
679829154b8bc7361480263c4cce0b8603051570 | [
"self.data = {}\n\ndef remove(k, selfref=ref(self)):\n self = selfref()\n if self is not None and self.data:\n try:\n v = self.data.get(k)\n del self.data[k]\n except (KeyError, RuntimeError):\n pass\nself._remove = remove\nif dict is not None:\n self.update(d... | <|body_start_0|>
self.data = {}
def remove(k, selfref=ref(self)):
self = selfref()
if self is not None and self.data:
try:
v = self.data.get(k)
del self.data[k]
except (KeyError, RuntimeError):
... | Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it. | WeakKeyDictionary | [
"LicenseRef-scancode-warranty-disclaimer",
"GPL-1.0-or-later",
"LicenseRef-scancode-other-copyleft",
"LGPL-2.1-or-later",
"GPL-3.0-only",
"LGPL-2.0-or-later",
"GPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WeakKeyDictionary:
"""Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it."""
def __init__(self, dict=None):
"""Initial... | stack_v2_sparse_classes_36k_train_002085 | 1,278 | permissive | [
{
"docstring": "Initialize the WeakKeyDictionary dict -- previously-existing weak key records or None to create a new dictionary",
"name": "__init__",
"signature": "def __init__(self, dict=None)"
},
{
"docstring": "Overridden delitem to avoid scanning",
"name": "__delitem__",
"signature"... | 2 | null | Implement the Python class `WeakKeyDictionary` described below.
Class description:
Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it.
Method signatures... | Implement the Python class `WeakKeyDictionary` described below.
Class description:
Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it.
Method signatures... | 7f600ad153270feff12aa7aa86d7ed0a49ebc71c | <|skeleton|>
class WeakKeyDictionary:
"""Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it."""
def __init__(self, dict=None):
"""Initial... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WeakKeyDictionary:
"""Sub-class to work around error in WeakKeyDictionary implementation Python 2.2.2 and 2.2.3c1 both have an annoying problem in their __delitem__ for the WeakKeyDictionary class. This class provides a work-around for it."""
def __init__(self, dict=None):
"""Initialize the WeakK... | the_stack_v2_python_sparse | pythonAnimations/pyOpenGLChess/engineDirectory/oglc-env/lib/python2.7/site-packages/vrml/weakkeydictfix.py | alexus37/AugmentedRealityChess | train | 1 |
47262e881dbe8adfd3ead018b6372ccc9ab9cc94 | [
"nums_unique = list(set(nums))\nif len(nums_unique) <= 2:\n return max(nums_unique)\nelse:\n thirdmax = None\n for _ in range(3):\n thirdmax = nums_unique.pop(nums_unique.index(max(nums_unique)))\n return thirdmax",
"top_maxes = [float('-inf'), float('-inf'), float('-inf')]\nnums_unique = set(n... | <|body_start_0|>
nums_unique = list(set(nums))
if len(nums_unique) <= 2:
return max(nums_unique)
else:
thirdmax = None
for _ in range(3):
thirdmax = nums_unique.pop(nums_unique.index(max(nums_unique)))
return thirdmax
<|end_body_0|>... | Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% thirdmax_2: faster > 65%, mem < 27%. Memory can be made to be O(1). | ThirdMax | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ThirdMax:
"""Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% thirdmax_2: faster > 65%, mem < 27%. Mem... | stack_v2_sparse_classes_36k_train_002086 | 2,116 | no_license | [
{
"docstring": "Pop off max of unique values 3 times. Parameters ---------- nums List of ints. Returns ------- Third max or if does not exist, the max. Examples -------- >>> ThirdMax.thirdmax([3, 2, 1]) 1 >>> ThirdMax.thirdmax([1, 2]) 2 >>> ThirdMax.thirdmax([2, 2, 3, 1]) 1",
"name": "thirdmax",
"signat... | 2 | stack_v2_sparse_classes_30k_train_004420 | Implement the Python class `ThirdMax` described below.
Class description:
Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% t... | Implement the Python class `ThirdMax` described below.
Class description:
Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% t... | ad27231c2c30a35d55f75e60f745288230abf3de | <|skeleton|>
class ThirdMax:
"""Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% thirdmax_2: faster > 65%, mem < 27%. Mem... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ThirdMax:
"""Given a non-empty array of integers, return the third maximum number in the array. If it does not exist, return the max of the list. Must be O(n) https://leetcode.com/problems/third-maximum-number/ Notes ----- thirdmax: faster > 67%, mem < 15% thirdmax_2: faster > 65%, mem < 27%. Memory can be ma... | the_stack_v2_python_sparse | thirdmax.py | bliaw/algorithms_python | train | 0 |
91030aed7e72ed35b374a32b3cc64ebfc008789d | [
"self.__doc__ = f.__doc__\nself.__name__ = f.__name__\nself.f = f",
"print('Called', self.f.__name__, 'from', type(self))\nb_args = []\nfor a in args:\n b_args.append(a.upper() + \" (a 'decorated' cutie pie)\")\nreturn self.f(*b_args, **kw)"
] | <|body_start_0|>
self.__doc__ = f.__doc__
self.__name__ = f.__name__
self.f = f
<|end_body_0|>
<|body_start_1|>
print('Called', self.f.__name__, 'from', type(self))
b_args = []
for a in args:
b_args.append(a.upper() + " (a 'decorated' cutie pie)")
ret... | one | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class one:
def __init__(self, f):
"""__init__ records the passed function for later use in __call__"""
<|body_0|>
def __call__(self, *args, **kw):
"""Prints a trace line before calling the wrapped function."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_002087 | 2,032 | no_license | [
{
"docstring": "__init__ records the passed function for later use in __call__",
"name": "__init__",
"signature": "def __init__(self, f)"
},
{
"docstring": "Prints a trace line before calling the wrapped function.",
"name": "__call__",
"signature": "def __call__(self, *args, **kw)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003057 | Implement the Python class `one` described below.
Class description:
Implement the one class.
Method signatures and docstrings:
- def __init__(self, f): __init__ records the passed function for later use in __call__
- def __call__(self, *args, **kw): Prints a trace line before calling the wrapped function. | Implement the Python class `one` described below.
Class description:
Implement the one class.
Method signatures and docstrings:
- def __init__(self, f): __init__ records the passed function for later use in __call__
- def __call__(self, *args, **kw): Prints a trace line before calling the wrapped function.
<|skeleto... | b32f83aa1b705a5ad384b73c618f04f7d2622753 | <|skeleton|>
class one:
def __init__(self, f):
"""__init__ records the passed function for later use in __call__"""
<|body_0|>
def __call__(self, *args, **kw):
"""Prints a trace line before calling the wrapped function."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class one:
def __init__(self, f):
"""__init__ records the passed function for later use in __call__"""
self.__doc__ = f.__doc__
self.__name__ = f.__name__
self.f = f
def __call__(self, *args, **kw):
"""Prints a trace line before calling the wrapped function."""
p... | the_stack_v2_python_sparse | ostPython4/decorplay.py | deepbsd/OST_Python | train | 1 | |
9e503e9889cc4e75de166b55d773efc5dad66f0e | [
"self.center_loc = center_loc\nself.tents_list = list()\nself.tents_list.append(tent_loc)",
"flag_toadd = True\nfor i in self.tents_list:\n loc_new = Location(new_tent_loc.x, new_tent_loc.y)\n loc_old = i\n dist = loc_new.dist_from(loc_old)\n if abs(dist) < 0.5:\n flag_toadd = False\nif flag_to... | <|body_start_0|>
self.center_loc = center_loc
self.tents_list = list()
self.tents_list.append(tent_loc)
<|end_body_0|>
<|body_start_1|>
flag_toadd = True
for i in self.tents_list:
loc_new = Location(new_tent_loc.x, new_tent_loc.y)
loc_old = i
... | A MITCampus is a Campus that contains tents | MITCampus | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MITCampus:
"""A MITCampus is a Campus that contains tents"""
def __init__(self, center_loc, tent_loc=Location(0, 0)):
"""Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_loc with a tent at location tent_loc"""
<|body_0|... | stack_v2_sparse_classes_36k_train_002088 | 6,605 | no_license | [
{
"docstring": "Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_loc with a tent at location tent_loc",
"name": "__init__",
"signature": "def __init__(self, center_loc, tent_loc=Location(0, 0))"
},
{
"docstring": "Assumes new_tent_loc is a... | 4 | null | Implement the Python class `MITCampus` described below.
Class description:
A MITCampus is a Campus that contains tents
Method signatures and docstrings:
- def __init__(self, center_loc, tent_loc=Location(0, 0)): Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_... | Implement the Python class `MITCampus` described below.
Class description:
A MITCampus is a Campus that contains tents
Method signatures and docstrings:
- def __init__(self, center_loc, tent_loc=Location(0, 0)): Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_... | 89059d9f3fc1de474a144e5f5235f7150a5208b2 | <|skeleton|>
class MITCampus:
"""A MITCampus is a Campus that contains tents"""
def __init__(self, center_loc, tent_loc=Location(0, 0)):
"""Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_loc with a tent at location tent_loc"""
<|body_0|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MITCampus:
"""A MITCampus is a Campus that contains tents"""
def __init__(self, center_loc, tent_loc=Location(0, 0)):
"""Assumes center_loc and tent_loc are Location objects Initializes a new Campus centered at location center_loc with a tent at location tent_loc"""
self.center_loc = cent... | the_stack_v2_python_sparse | MITx 6.00.1x Introduction to Computer Science and Programming Using Python/final exam problem 7 v3.py | tmPolla/python | train | 0 |
c3c6e7ab2388b58853ec08f4401f4c30dee6078f | [
"from collections import defaultdict\nself.prefixes = defaultdict(set)\nself.suffixes = defaultdict(set)\nself.weights = {}\nfor index, word in enumerate(words):\n prefix, suffix = ('', '')\n for char in [''] + list(word):\n prefix += char\n self.prefixes[prefix].add(word)\n for char in [''] ... | <|body_start_0|>
from collections import defaultdict
self.prefixes = defaultdict(set)
self.suffixes = defaultdict(set)
self.weights = {}
for index, word in enumerate(words):
prefix, suffix = ('', '')
for char in [''] + list(word):
prefix +=... | WordFilter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def f(self, prefix, suffix):
""":type prefix: str :type suffix: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
from collections import defaultdict
... | stack_v2_sparse_classes_36k_train_002089 | 1,282 | no_license | [
{
"docstring": ":type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": ":type prefix: str :type suffix: str :rtype: int",
"name": "f",
"signature": "def f(self, prefix, suffix)"
}
] | 2 | null | Implement the Python class `WordFilter` described below.
Class description:
Implement the WordFilter class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def f(self, prefix, suffix): :type prefix: str :type suffix: str :rtype: int | Implement the Python class `WordFilter` described below.
Class description:
Implement the WordFilter class.
Method signatures and docstrings:
- def __init__(self, words): :type words: List[str]
- def f(self, prefix, suffix): :type prefix: str :type suffix: str :rtype: int
<|skeleton|>
class WordFilter:
def __in... | e4c02084f26384cedbd87c4c60e9bdfbf77228cc | <|skeleton|>
class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
<|body_0|>
def f(self, prefix, suffix):
""":type prefix: str :type suffix: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class WordFilter:
def __init__(self, words):
""":type words: List[str]"""
from collections import defaultdict
self.prefixes = defaultdict(set)
self.suffixes = defaultdict(set)
self.weights = {}
for index, word in enumerate(words):
prefix, suffix = ('', '')... | the_stack_v2_python_sparse | Advanced/745. Prefix and Suffix Search Hard.py | dongbo910220/leetcode_ | train | 0 | |
c4a31fcb2b64d526fe57e54b478a02be5b571847 | [
"w = SldPanel(None)\nyield w\nw.close()\nw = None",
"assert isinstance(widget, QtWidgets.QWidget)\nassert widget.ui.editMolecularFormula.styleSheet() == ''\nassert widget.model.columnCount() == 1\nassert widget.model.rowCount() == 11\nassert widget.sizePolicy().Policy() == QtWidgets.QSizePolicy.Fixed",
"widget.... | <|body_start_0|>
w = SldPanel(None)
yield w
w.close()
w = None
<|end_body_0|>
<|body_start_1|>
assert isinstance(widget, QtWidgets.QWidget)
assert widget.ui.editMolecularFormula.styleSheet() == ''
assert widget.model.columnCount() == 1
assert widget.model... | Test the SLDCalculator | SLDCalculatorTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SLDCalculatorTest:
"""Test the SLDCalculator"""
def widget(self, qapp):
"""Create/Destroy the SLDCalculator"""
<|body_0|>
def testDefaults(self, widget):
"""Test the GUI in its default state"""
<|body_1|>
def testSimpleEntry(self, widget):
""... | stack_v2_sparse_classes_36k_train_002090 | 4,853 | permissive | [
{
"docstring": "Create/Destroy the SLDCalculator",
"name": "widget",
"signature": "def widget(self, qapp)"
},
{
"docstring": "Test the GUI in its default state",
"name": "testDefaults",
"signature": "def testDefaults(self, widget)"
},
{
"docstring": "Default compound calculations... | 5 | stack_v2_sparse_classes_30k_train_000427 | Implement the Python class `SLDCalculatorTest` described below.
Class description:
Test the SLDCalculator
Method signatures and docstrings:
- def widget(self, qapp): Create/Destroy the SLDCalculator
- def testDefaults(self, widget): Test the GUI in its default state
- def testSimpleEntry(self, widget): Default compou... | Implement the Python class `SLDCalculatorTest` described below.
Class description:
Test the SLDCalculator
Method signatures and docstrings:
- def widget(self, qapp): Create/Destroy the SLDCalculator
- def testDefaults(self, widget): Test the GUI in its default state
- def testSimpleEntry(self, widget): Default compou... | 55b1e9f6db58e33729f2a93b7dd1d8bf255b46f7 | <|skeleton|>
class SLDCalculatorTest:
"""Test the SLDCalculator"""
def widget(self, qapp):
"""Create/Destroy the SLDCalculator"""
<|body_0|>
def testDefaults(self, widget):
"""Test the GUI in its default state"""
<|body_1|>
def testSimpleEntry(self, widget):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SLDCalculatorTest:
"""Test the SLDCalculator"""
def widget(self, qapp):
"""Create/Destroy the SLDCalculator"""
w = SldPanel(None)
yield w
w.close()
w = None
def testDefaults(self, widget):
"""Test the GUI in its default state"""
assert isinstan... | the_stack_v2_python_sparse | src/sas/qtgui/Calculators/UnitTesting/SLDCalculatorTest.py | SasView/sasview | train | 48 |
a6e49435a7bb7fc4b9e730165702362efb175732 | [
"if rowIndex == 0:\n return [1]\nprev = self.getRow(rowIndex - 1)\nreturn [1] + [prev[i] + prev[i + 1] for i in range(rowIndex - 1)] + [1]",
"row = [1]\nfor row_num in range(1, rowIndex + 1):\n temp = [None for _ in range(row_num + 1)]\n temp[0], temp[-1] = (1, 1)\n for i in range(1, row_num):\n ... | <|body_start_0|>
if rowIndex == 0:
return [1]
prev = self.getRow(rowIndex - 1)
return [1] + [prev[i] + prev[i + 1] for i in range(rowIndex - 1)] + [1]
<|end_body_0|>
<|body_start_1|>
row = [1]
for row_num in range(1, rowIndex + 1):
temp = [None for _ in r... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_0|>
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if rowIndex == 0:
return [1... | stack_v2_sparse_classes_36k_train_002091 | 836 | no_license | [
{
"docstring": ":type rowIndex: int :rtype: List[int]",
"name": "getRow",
"signature": "def getRow(self, rowIndex)"
},
{
"docstring": ":type rowIndex: int :rtype: List[int]",
"name": "getRow",
"signature": "def getRow(self, rowIndex)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int]
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int]
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int]
<|skeleton|>
class Solution:
def getRo... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Solution:
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_0|>
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
if rowIndex == 0:
return [1]
prev = self.getRow(rowIndex - 1)
return [1] + [prev[i] + prev[i + 1] for i in range(rowIndex - 1)] + [1]
def getRow(self, rowIndex):
""":type ... | the_stack_v2_python_sparse | 0119_Pascal's_Triangle_II.py | bingli8802/leetcode | train | 0 | |
244f8e592bfd5e276aa73954a79542cea9d65a04 | [
"self._assignments = None\nself._num_classes = None\nself._assigned_classes = None",
"if num_classes is None:\n num_classes = np.unique(y).max() + 1\nself._num_classes = num_classes\nnum_outputs = X.shape[1]\nmax_fr = np.zeros(num_outputs)\nassignments = np.zeros(num_outputs)\nfor i in range(num_classes):\n ... | <|body_start_0|>
self._assignments = None
self._num_classes = None
self._assigned_classes = None
<|end_body_0|>
<|body_start_1|>
if num_classes is None:
num_classes = np.unique(y).max() + 1
self._num_classes = num_classes
num_outputs = X.shape[1]
max_... | A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Peter, Cook Matthew, 2015 (10.3389/fncom.2015.00099) Attributes: | HighestResponse | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HighestResponse:
"""A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Peter, Cook Matthew, 2015 (10.3389/fncom.... | stack_v2_sparse_classes_36k_train_002092 | 4,756 | permissive | [
{
"docstring": "Init empty classifier. Args: Returns:",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Train the model. Args: X: A numpy array of size num_samples x num_features. I.e., the training input. y: A numpy array of size num_samples. I.e., the ground truth labe... | 3 | stack_v2_sparse_classes_30k_train_009116 | Implement the Python class `HighestResponse` described below.
Class description:
A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Pe... | Implement the Python class `HighestResponse` described below.
Class description:
A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Pe... | 3ee4037a4568c393378eaec74483696d5281f376 | <|skeleton|>
class HighestResponse:
"""A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Peter, Cook Matthew, 2015 (10.3389/fncom.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HighestResponse:
"""A readout classifier that uses the highest response hypothesis to predict class labels from output firing rates. The mechanism is described in: 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity', Diehl Peter, Cook Matthew, 2015 (10.3389/fncom.2015.00099) A... | the_stack_v2_python_sparse | src/readout/highest_response.py | xiuxiuzhang1995/snn_global_pattern_induction | train | 0 |
758a84fd0672f8afe1f8b3219aa65bafbbec84ef | [
"length = len(T)\nres = [0] * length\nstack = []\nfor i in range(length):\n while stack and T[stack[-1]] < T[i]:\n prev_idx = stack.pop()\n res[prev_idx] = i - prev_idx\n stack.append(i)\nreturn res",
"length = len(T)\nres = [0] * length\nstack = []\nfor i in range(length - 1, -1, -1):\n wh... | <|body_start_0|>
length = len(T)
res = [0] * length
stack = []
for i in range(length):
while stack and T[stack[-1]] < T[i]:
prev_idx = stack.pop()
res[prev_idx] = i - prev_idx
stack.append(i)
return res
<|end_body_0|>
<|bod... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def dailyTemperatures(self, T):
"""Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_another(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k_train_002093 | 1,059 | no_license | [
{
"docstring": "Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures",
"signature": "def dailyTemperatures(self, T)"
},
{
"docstring": ":type T: List[int] :rtype: List[int]",
"name": "dailyTemperatures_another",
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures(self, T): Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]
- def dailyTemperatures_another(self, T): :ty... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def dailyTemperatures(self, T): Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]
- def dailyTemperatures_another(self, T): :ty... | 85f71621c54f6b0029f3a2746f022f89dd7419d9 | <|skeleton|>
class Solution:
def dailyTemperatures(self, T):
"""Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]"""
<|body_0|>
def dailyTemperatures_another(self, T):
""":type T: List[int] :rtype: List[int]"""
<|body_1|>
<|en... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def dailyTemperatures(self, T):
"""Time O(n) Space O(W) W is the number of allowed values for T[i] :type T: List[int] :rtype: List[int]"""
length = len(T)
res = [0] * length
stack = []
for i in range(length):
while stack and T[stack[-1]] < T[i]:
... | the_stack_v2_python_sparse | LeetCode/Stack/739_daily_temperatures.py | XyK0907/for_work | train | 0 | |
7db146d574f671f6762f066c0ca9ff85878642dd | [
"indices = []\ni = 0\nwhile i < radius * radius:\n indices.append((randrange(0, input_wh[0]), randrange(0, input_wh[1])))\n i = i + 1\nreturn indices",
"if input_wh[0] < cols_wh[0] or input_wh[1] < cols_wh[1]:\n raise NameError('Колонок как минимум по одному из измерений больше, чем элементов нижлежащего... | <|body_start_0|>
indices = []
i = 0
while i < radius * radius:
indices.append((randrange(0, input_wh[0]), randrange(0, input_wh[1])))
i = i + 1
return indices
<|end_body_0|>
<|body_start_1|>
if input_wh[0] < cols_wh[0] or input_wh[1] < cols_wh[1]:
... | Класс случайного маппера | RandomMapper | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomMapper:
"""Класс случайного маппера"""
def map_one(self, input_wh, colcoord, radius):
"""возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param input_wh: размеры входного поля :param colcoord: координаты ... | stack_v2_sparse_classes_36k_train_002094 | 2,747 | no_license | [
{
"docstring": "возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param input_wh: размеры входного поля :param colcoord: координаты колонки в поле колонок (подразумевается, что размерность входного поля и поля колонок одинакова) :param rad... | 2 | stack_v2_sparse_classes_30k_train_011288 | Implement the Python class `RandomMapper` described below.
Class description:
Класс случайного маппера
Method signatures and docstrings:
- def map_one(self, input_wh, colcoord, radius): возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param inp... | Implement the Python class `RandomMapper` described below.
Class description:
Класс случайного маппера
Method signatures and docstrings:
- def map_one(self, input_wh, colcoord, radius): возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param inp... | 672408433a11947c4e1ee037e97e62a17944e210 | <|skeleton|>
class RandomMapper:
"""Класс случайного маппера"""
def map_one(self, input_wh, colcoord, radius):
"""возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param input_wh: размеры входного поля :param colcoord: координаты ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomMapper:
"""Класс случайного маппера"""
def map_one(self, input_wh, colcoord, radius):
"""возвращает массив кортежей координат элементов входного поля input_wh, которые отнесены к колонке с координатами colcoord :param input_wh: размеры входного поля :param colcoord: координаты колонки в пол... | the_stack_v2_python_sparse | spatialPooler/mappers/sp_random_mapper.py | cog-isa/htm-core | train | 0 |
e1ab14849e59d793c1ac52f26ef58f851bd4089a | [
"super().__init__()\nif isinstance(hidden_units, int):\n hidden_units = [hidden_units]\nself.fc_x = nn.Linear(x_size, hidden_units[0], bias=False)\nself.fc_y = nn.Linear(y_size, hidden_units[0], bias=False)\nself.xy_bias = nn.Parameter(torch.zeros(hidden_units[0]))\nself.fc_output = MLP(*hidden_units, 1)",
"hi... | <|body_start_0|>
super().__init__()
if isinstance(hidden_units, int):
hidden_units = [hidden_units]
self.fc_x = nn.Linear(x_size, hidden_units[0], bias=False)
self.fc_y = nn.Linear(y_size, hidden_units[0], bias=False)
self.xy_bias = nn.Parameter(torch.zeros(hidden_uni... | MINE_Net | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MINE_Net:
def __init__(self, x_size: int, y_size: int, hidden_units=(100, 50)):
"""A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size : int Number of neurons in X and Y. hidden_units : int or tuple of int Hidden layer size(s)."""
... | stack_v2_sparse_classes_36k_train_002095 | 9,660 | permissive | [
{
"docstring": "A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size : int Number of neurons in X and Y. hidden_units : int or tuple of int Hidden layer size(s).",
"name": "__init__",
"signature": "def __init__(self, x_size: int, y_size: int, hidden... | 2 | stack_v2_sparse_classes_30k_train_008415 | Implement the Python class `MINE_Net` described below.
Class description:
Implement the MINE_Net class.
Method signatures and docstrings:
- def __init__(self, x_size: int, y_size: int, hidden_units=(100, 50)): A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size ... | Implement the Python class `MINE_Net` described below.
Class description:
Implement the MINE_Net class.
Method signatures and docstrings:
- def __init__(self, x_size: int, y_size: int, hidden_units=(100, 50)): A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size ... | e5d7f7337328a2c5b82545de6d0bd27c88e52123 | <|skeleton|>
class MINE_Net:
def __init__(self, x_size: int, y_size: int, hidden_units=(100, 50)):
"""A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size : int Number of neurons in X and Y. hidden_units : int or tuple of int Hidden layer size(s)."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MINE_Net:
def __init__(self, x_size: int, y_size: int, hidden_units=(100, 50)):
"""A network to estimate the mutual information between X and Y, I(X; Y). Parameters ---------- x_size, y_size : int Number of neurons in X and Y. hidden_units : int or tuple of int Hidden layer size(s)."""
super()... | the_stack_v2_python_sparse | mighty/monitor/mutual_info/neural_estimation.py | dizcza/pytorch-mighty | train | 4 | |
80e645d717c6819b5ce1d03dc638fa7acb73cf42 | [
"result = _parseIso8601(input)\nif not result:\n result = _parseSimple(input)\nif result is not None:\n return result\nelse:\n raise ParameterError('Invalid time delta - could not parse %s' % input)",
"weeks = x.days // 7\ndays = x.days % 7\nhours = x.seconds // 3600\nminutes = x.seconds % 3600 // 60\nse... | <|body_start_0|>
result = _parseIso8601(input)
if not result:
result = _parseSimple(input)
if result is not None:
return result
else:
raise ParameterError('Invalid time delta - could not parse %s' % input)
<|end_body_0|>
<|body_start_1|>
weeks... | Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest unit order * ISO 8601 duration ``PnDTnHnMnS`` (each field optional, years and months n... | TimeDeltaValueType | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TimeDeltaValueType:
"""Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest unit order * ISO 8601 duration ``PnDTnHn... | stack_v2_sparse_classes_36k_train_002096 | 4,446 | permissive | [
{
"docstring": "Parses a time delta from the input. See :py:class:`TimeDeltaValueType` for details on supported formats.",
"name": "parse_from_str",
"signature": "def parse_from_str(self, input)"
},
{
"docstring": "Converts datetime.timedelta to a string :param x: the value to serialize.",
"... | 2 | null | Implement the Python class `TimeDeltaValueType` described below.
Class description:
Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest u... | Implement the Python class `TimeDeltaValueType` described below.
Class description:
Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest u... | d59c99dcdcd280d7eec36a693dd80f8c8c831ea2 | <|skeleton|>
class TimeDeltaValueType:
"""Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest unit order * ISO 8601 duration ``PnDTnHn... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TimeDeltaValueType:
"""Class that maps to timedelta using strings in any of the following forms: * ``n {w[eek[s]]|d[ay[s]]|h[our[s]]|m[inute[s]|s[second[s]]}`` (e.g. "1 week 2 days" or "1 h") Note: multiple arguments must be supplied in longest to shortest unit order * ISO 8601 duration ``PnDTnHnMnS`` (each f... | the_stack_v2_python_sparse | modules/dbnd/src/targets/values/timedelta_value.py | databand-ai/dbnd | train | 257 |
33f2887c4568e71985fe51770b0904c51f57e187 | [
"try:\n file_id = UUID(req_data['file_id']).hex\nexcept ValueError:\n return Response(status='400 Bad Request')\nstored_files = StoredFile.collection()\nto_delete = stored_files.first(id=file_id)\nlog_activity('%s deleted file %s' % (context.user.link, to_delete.filename))\nstored_files.delete(to_delete)\nget... | <|body_start_0|>
try:
file_id = UUID(req_data['file_id']).hex
except ValueError:
return Response(status='400 Bad Request')
stored_files = StoredFile.collection()
to_delete = stored_files.first(id=file_id)
log_activity('%s deleted file %s' % (context.user.l... | The file set controller. | FileSetController | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileSetController:
"""The file set controller."""
def delete(self, *route, **req_data):
"""Handle a file delete."""
<|body_0|>
def upload(self, *route, **req_data):
"""Handle a file upload."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_36k_train_002097 | 8,541 | permissive | [
{
"docstring": "Handle a file delete.",
"name": "delete",
"signature": "def delete(self, *route, **req_data)"
},
{
"docstring": "Handle a file upload.",
"name": "upload",
"signature": "def upload(self, *route, **req_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007410 | Implement the Python class `FileSetController` described below.
Class description:
The file set controller.
Method signatures and docstrings:
- def delete(self, *route, **req_data): Handle a file delete.
- def upload(self, *route, **req_data): Handle a file upload. | Implement the Python class `FileSetController` described below.
Class description:
The file set controller.
Method signatures and docstrings:
- def delete(self, *route, **req_data): Handle a file delete.
- def upload(self, *route, **req_data): Handle a file upload.
<|skeleton|>
class FileSetController:
"""The fi... | b34cb4b2ee7cc40b2c99015f05bfcc12d4b49065 | <|skeleton|>
class FileSetController:
"""The file set controller."""
def delete(self, *route, **req_data):
"""Handle a file delete."""
<|body_0|>
def upload(self, *route, **req_data):
"""Handle a file upload."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileSetController:
"""The file set controller."""
def delete(self, *route, **req_data):
"""Handle a file delete."""
try:
file_id = UUID(req_data['file_id']).hex
except ValueError:
return Response(status='400 Bad Request')
stored_files = StoredFile.c... | the_stack_v2_python_sparse | zoom/_assets/standard_apps/content/files.py | dsilabs/zoom | train | 9 |
3c29634bdc27ce94bc9beb1d26a25e12fb7a2cb2 | [
"if config['lang'] != 'ja':\n raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')\ncheck_sudachipy()\nfrom sudachipy import tokenizer\nfrom sudachipy import dictionary\nself.tokenizer = dictionary.Dictionary().create()\nself.no_ssplit = config.get('no_ssplit', False)",
"if isinstance(... | <|body_start_0|>
if config['lang'] != 'ja':
raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')
check_sudachipy()
from sudachipy import tokenizer
from sudachipy import dictionary
self.tokenizer = dictionary.Dictionary().create()
self.... | SudachiPyTokenizer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
<|body_0|>
def process(self, document):
"""Tokenize a document with the SudachiPy tokenizer and wrap the result... | stack_v2_sparse_classes_36k_train_002098 | 2,917 | permissive | [
{
"docstring": "Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.",
"name": "__init__",
"signature": "def __init__(self, config)"
},
{
"docstring": "Tokenize a document with the SudachiPy tokenizer and wrap the results into a Doc object.",
... | 2 | stack_v2_sparse_classes_30k_train_002717 | Implement the Python class `SudachiPyTokenizer` described below.
Class description:
Implement the SudachiPyTokenizer class.
Method signatures and docstrings:
- def __init__(self, config): Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.
- def process(self, document... | Implement the Python class `SudachiPyTokenizer` described below.
Class description:
Implement the SudachiPyTokenizer class.
Method signatures and docstrings:
- def __init__(self, config): Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation.
- def process(self, document... | c530c9af647d521262b56b717bcc38b0cfc5f1b8 | <|skeleton|>
class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
<|body_0|>
def process(self, document):
"""Tokenize a document with the SudachiPy tokenizer and wrap the result... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SudachiPyTokenizer:
def __init__(self, config):
"""Construct a SudachiPy-based tokenizer. Note that this tokenizer uses regex for sentence segmentation."""
if config['lang'] != 'ja':
raise Exception('SudachiPy tokenizer is only allowed in Japanese pipelines.')
check_sudachi... | the_stack_v2_python_sparse | stanza/pipeline/external/sudachipy.py | stanfordnlp/stanza | train | 4,281 | |
bcfbde64ce11edec887e623888b7b8fb092c26a4 | [
"inputs = tf.placeholder(dtype=tf.float32, shape=[None, None, 100])\nencoder = UnidirectionalRNNEncoder()\n_, _ = encoder(inputs)\nself.assertEqual(len(encoder.trainable_variables), 2)\nhparams = {'rnn_cell': {'dropout': {'input_keep_prob': 0.5}}}\nencoder = UnidirectionalRNNEncoder(hparams=hparams)\n_, _ = encoder... | <|body_start_0|>
inputs = tf.placeholder(dtype=tf.float32, shape=[None, None, 100])
encoder = UnidirectionalRNNEncoder()
_, _ = encoder(inputs)
self.assertEqual(len(encoder.trainable_variables), 2)
hparams = {'rnn_cell': {'dropout': {'input_keep_prob': 0.5}}}
encoder = Un... | Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class. | UnidirectionalRNNEncoderTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnidirectionalRNNEncoderTest:
"""Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class."""
def test_trainable_variables(self):
"""Tests the functionality of automatically collecting trainable variables."""
<|body_0|>
def test_encode(self):
"""Tests enco... | stack_v2_sparse_classes_36k_train_002099 | 9,397 | permissive | [
{
"docstring": "Tests the functionality of automatically collecting trainable variables.",
"name": "test_trainable_variables",
"signature": "def test_trainable_variables(self)"
},
{
"docstring": "Tests encoding.",
"name": "test_encode",
"signature": "def test_encode(self)"
},
{
"... | 3 | stack_v2_sparse_classes_30k_train_012699 | Implement the Python class `UnidirectionalRNNEncoderTest` described below.
Class description:
Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class.
Method signatures and docstrings:
- def test_trainable_variables(self): Tests the functionality of automatically collecting trainable variables.
- def test_enc... | Implement the Python class `UnidirectionalRNNEncoderTest` described below.
Class description:
Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class.
Method signatures and docstrings:
- def test_trainable_variables(self): Tests the functionality of automatically collecting trainable variables.
- def test_enc... | 0704b3d4c93915b9a6f96b725e49ae20bf5d1e90 | <|skeleton|>
class UnidirectionalRNNEncoderTest:
"""Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class."""
def test_trainable_variables(self):
"""Tests the functionality of automatically collecting trainable variables."""
<|body_0|>
def test_encode(self):
"""Tests enco... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UnidirectionalRNNEncoderTest:
"""Tests :class:`~texar.tf.modules.UnidirectionalRNNEncoder` class."""
def test_trainable_variables(self):
"""Tests the functionality of automatically collecting trainable variables."""
inputs = tf.placeholder(dtype=tf.float32, shape=[None, None, 100])
... | the_stack_v2_python_sparse | texar/tf/modules/encoders/rnn_encoders_test.py | arita37/texar | train | 2 |
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