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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9ecd0f30fa882e48d8ccf2fa684ec5047c70c450 | [
"super(GilbertElliott, self).__init__(PacketLoss.__name__)\nif prhk is None:\n p = float(GilbertElliott.__DEFAULT_P)\n r = float(GilbertElliott.__DEFAULT_R)\n b = float(1.0 - GilbertElliott.__DEFAULT_H)\n g = float(1.0 - GilbertElliott.__DEFAULT_K)\nelse:\n for param in range(4):\n check_argum... | <|body_start_0|>
super(GilbertElliott, self).__init__(PacketLoss.__name__)
if prhk is None:
p = float(GilbertElliott.__DEFAULT_P)
r = float(GilbertElliott.__DEFAULT_R)
b = float(1.0 - GilbertElliott.__DEFAULT_H)
g = float(1.0 - GilbertElliott.__DEFAULT_K)
... | This class implements the Gilbert-Elliott packet loss model. | GilbertElliott | [
"MIT",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GilbertElliott:
"""This class implements the Gilbert-Elliott packet loss model."""
def __init__(self, prhk=None):
"""*Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\leqslant p,r,h,k\\leqslant 1`, respectively (each of type `float`). The pa... | stack_v2_sparse_classes_75kplus_train_069800 | 6,499 | permissive | [
{
"docstring": "*Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\\\leqslant p,r,h,k\\\\leqslant 1`, respectively (each of type `float`). The parameters default to the following values: * :math:`p=0.00001333`, * :math:`r=0.00601795`, * :math:`h=0.55494900`, * :math:`k=... | 2 | stack_v2_sparse_classes_30k_train_014212 | Implement the Python class `GilbertElliott` described below.
Class description:
This class implements the Gilbert-Elliott packet loss model.
Method signatures and docstrings:
- def __init__(self, prhk=None): *Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\leqslant p,r,h,k\... | Implement the Python class `GilbertElliott` described below.
Class description:
This class implements the Gilbert-Elliott packet loss model.
Method signatures and docstrings:
- def __init__(self, prhk=None): *Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\leqslant p,r,h,k\... | ed93d1e3067c569dd4194658b0d02da6b0ab4bed | <|skeleton|>
class GilbertElliott:
"""This class implements the Gilbert-Elliott packet loss model."""
def __init__(self, prhk=None):
"""*Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\leqslant p,r,h,k\\leqslant 1`, respectively (each of type `float`). The pa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GilbertElliott:
"""This class implements the Gilbert-Elliott packet loss model."""
def __init__(self, prhk=None):
"""*Parameters*: - **prhk** (`tuple`): a `tuple` that contains four model parameters: :math:`0\\leqslant p,r,h,k\\leqslant 1`, respectively (each of type `float`). The parameters defa... | the_stack_v2_python_sparse | sim2net/packet_loss/gilbert_elliott.py | mkalewski/sim2net | train | 14 |
21c7e669f0e518f3a8ed6f3c6b34e36540504332 | [
"with np.errstate(divide='ignore', invalid='ignore'):\n powterm = 1 - gamma\n term = (1 + rad ** 2 / (2 * gamma * sigma ** 2)) ** powterm\n containment = 1 - term\nreturn containment",
"with np.errstate(divide='ignore'):\n term1 = 1 / (2 * np.pi * sigma ** 2)\n term2 = 1 - 1 / gamma\n term3 = (1... | <|body_start_0|>
with np.errstate(divide='ignore', invalid='ignore'):
powterm = 1 - gamma
term = (1 + rad ** 2 / (2 * gamma * sigma ** 2)) ** powterm
containment = 1 - term
return containment
<|end_body_0|>
<|body_start_1|>
with np.errstate(divide='ignore'):
... | King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true", "offset"] meta : dict Meta data | PSFKing | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PSFKing:
"""King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true", "offset"] meta : dict Meta data"""
... | stack_v2_sparse_classes_75kplus_train_069801 | 12,422 | permissive | [
{
"docstring": "Containment of the PSF at given axes coordinates Parameters ---------- rad : `~astropy.units.Quantity` Rad value gamma : `~astropy.units.Quantity` Gamma parameter sigma : `~astropy.units.Quantity` Sigma parameter Returns ------- containment : `~numpy.ndarray` Containment",
"name": "evaluate_... | 2 | null | Implement the Python class `PSFKing` described below.
Class description:
King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true",... | Implement the Python class `PSFKing` described below.
Class description:
King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true",... | 60f03adb8fc7851b9f3ca039512c03a669e3fe10 | <|skeleton|>
class PSFKing:
"""King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true", "offset"] meta : dict Meta data"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PSFKing:
"""King profile analytical PSF depending on energy and offset. This PSF parametrisation and FITS data format is described here: :ref:`gadf:psf_king`. Parameters ---------- axes : list of `MapAxis` or `MapAxes` Data axes, required are ["energy_true", "offset"] meta : dict Meta data"""
def evaluat... | the_stack_v2_python_sparse | gammapy/irf/psf/parametric.py | gammapy/gammapy | train | 204 |
75589832e7cd1bd996817b8b95afeaf37b5cf409 | [
"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... | Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific participant in the methods of this API. | PackageManagementServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PackageManagementServiceServicer:
"""Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific participant in the methods of this API.... | stack_v2_sparse_classes_75kplus_train_069802 | 6,681 | permissive | [
{
"docstring": "Returns the details of all Daml-LF packages known to the backing participant.",
"name": "ListKnownPackages",
"signature": "def ListKnownPackages(self, request, context)"
},
{
"docstring": "Upload a DAR file to the backing participant. Depending on the ledger implementation this m... | 2 | stack_v2_sparse_classes_30k_train_023388 | Implement the Python class `PackageManagementServiceServicer` described below.
Class description:
Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific ... | Implement the Python class `PackageManagementServiceServicer` described below.
Class description:
Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific ... | efdbb00e54614c0af650d7440faaffbde92ad1f4 | <|skeleton|>
class PackageManagementServiceServicer:
"""Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific participant in the methods of this API.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PackageManagementServiceServicer:
"""Status: experimental interface, will change before it is deemed production ready Query the Daml-LF packages supported by the ledger participant and upload DAR files. We use 'backing participant' to refer to this specific participant in the methods of this API."""
def ... | the_stack_v2_python_sparse | python/dazl/_gen/com/daml/ledger/api/v1/admin/package_management_service_pb2_grpc.py | digital-asset/dazl-client | train | 12 |
fffed213ed11b43a5328b06caca1320208cf87be | [
"self.allowed_items = {}\nself.matches = {}\nself.allowed_items['Category'] = PartCategory.objects.all()\nself.matches['Category'] = ['name__contains']\nself.allowed_items['default_location'] = StockLocation.objects.all()\nself.matches['default_location'] = ['name__contains']\nself.allowed_items['default_supplier']... | <|body_start_0|>
self.allowed_items = {}
self.matches = {}
self.allowed_items['Category'] = PartCategory.objects.all()
self.matches['Category'] = ['name__contains']
self.allowed_items['default_location'] = StockLocation.objects.all()
self.matches['default_location'] = ['n... | Part: Upload file, match to fields and import parts(using multi-Step form) | PartImport | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PartImport:
"""Part: Upload file, match to fields and import parts(using multi-Step form)"""
def get_field_selection(self):
"""Fill the form fields for step 3."""
<|body_0|>
def done(self, form_list, **kwargs):
"""Create items."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus_train_069803 | 28,283 | permissive | [
{
"docstring": "Fill the form fields for step 3.",
"name": "get_field_selection",
"signature": "def get_field_selection(self)"
},
{
"docstring": "Create items.",
"name": "done",
"signature": "def done(self, form_list, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_051463 | Implement the Python class `PartImport` described below.
Class description:
Part: Upload file, match to fields and import parts(using multi-Step form)
Method signatures and docstrings:
- def get_field_selection(self): Fill the form fields for step 3.
- def done(self, form_list, **kwargs): Create items. | Implement the Python class `PartImport` described below.
Class description:
Part: Upload file, match to fields and import parts(using multi-Step form)
Method signatures and docstrings:
- def get_field_selection(self): Fill the form fields for step 3.
- def done(self, form_list, **kwargs): Create items.
<|skeleton|>
... | 5a08ef908dd5344b4433436a4679d122f7f99e41 | <|skeleton|>
class PartImport:
"""Part: Upload file, match to fields and import parts(using multi-Step form)"""
def get_field_selection(self):
"""Fill the form fields for step 3."""
<|body_0|>
def done(self, form_list, **kwargs):
"""Create items."""
<|body_1|>
<|end_skelet... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PartImport:
"""Part: Upload file, match to fields and import parts(using multi-Step form)"""
def get_field_selection(self):
"""Fill the form fields for step 3."""
self.allowed_items = {}
self.matches = {}
self.allowed_items['Category'] = PartCategory.objects.all()
... | the_stack_v2_python_sparse | InvenTree/part/views.py | onurtatli/InvenTree | train | 0 |
b45fd94991794f96e03a16064c40a57b9f934757 | [
"Container.__init__(self, child)\nself.link_target = link_target\nt = type(level)\nif isinstance(level, int) is False:\n raise TypeError(f'Expected level to be int, got {t}.')\nt = type(numbered)\nif isinstance(numbered, bool) is False:\n raise TypeError(f'Expected numbered to be bool, got {t}.')\nself.level ... | <|body_start_0|>
Container.__init__(self, child)
self.link_target = link_target
t = type(level)
if isinstance(level, int) is False:
raise TypeError(f'Expected level to be int, got {t}.')
t = type(numbered)
if isinstance(numbered, bool) is False:
ra... | This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of Tables: pass 'lot' to Section.link_target See init for more details. | Section | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Section:
"""This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of Tables: pass 'lot' to Section.link_targe... | stack_v2_sparse_classes_75kplus_train_069804 | 2,545 | no_license | [
{
"docstring": "Args ---- child: LatexPart A latexPart to be contained within the section. link_target: str A string signifying a cross-reference label to link the section to. Default labels include: toc (table of contents) lof (list of figures) lot (list of tables)",
"name": "__init__",
"signature": "d... | 3 | null | Implement the Python class `Section` described below.
Class description:
This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of T... | Implement the Python class `Section` described below.
Class description:
This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of T... | 515ce39b6ce8fefde098cce16495e60fcef1c4d4 | <|skeleton|>
class Section:
"""This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of Tables: pass 'lot' to Section.link_targe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Section:
"""This class represents a latex Section. Currently only section and subsection are implemented. Section(s) can be hyperlinked back to: Table of Contents: pass 'toc' to Section.link_target List of Figures: pass 'lof' to Section.link_target List of Tables: pass 'lot' to Section.link_target See init fo... | the_stack_v2_python_sparse | easytex/classes/Section.py | JyuNyar/easytex | train | 0 |
87a368408756c0dfec2f5f4fd0813045dbd19d0b | [
"self.num_units = num_units\nself.layer_norm = layer_norm\nself.recurrent_dropout = recurrent_dropout\nself.leak_factor = leak_factor",
"with tf.variable_scope(scope or type(self).__name__):\n lstm_cell = rnn_cell.LayerNormBasicLeakLSTMCell(num_units=self.num_units, leak_factor=self.leak_factor, layer_norm=sel... | <|body_start_0|>
self.num_units = num_units
self.layer_norm = layer_norm
self.recurrent_dropout = recurrent_dropout
self.leak_factor = leak_factor
<|end_body_0|>
<|body_start_1|>
with tf.variable_scope(scope or type(self).__name__):
lstm_cell = rnn_cell.LayerNormBasi... | a leaky LSTM layer | LeakyLSTMLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LeakyLSTMLayer:
"""a leaky LSTM layer"""
def __init__(self, num_units, layer_norm=False, recurrent_dropout=1.0, leak_factor=1.0):
"""LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm: whether layer normalization should be applied recurrent... | stack_v2_sparse_classes_75kplus_train_069805 | 49,091 | permissive | [
{
"docstring": "LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm: whether layer normalization should be applied recurrent_dropout: the recurrent dropout keep probability leak_factor: the leak factor (if 1, there is no leakage)",
"name": "__init__",
"signatur... | 2 | null | Implement the Python class `LeakyLSTMLayer` described below.
Class description:
a leaky LSTM layer
Method signatures and docstrings:
- def __init__(self, num_units, layer_norm=False, recurrent_dropout=1.0, leak_factor=1.0): LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm... | Implement the Python class `LeakyLSTMLayer` described below.
Class description:
a leaky LSTM layer
Method signatures and docstrings:
- def __init__(self, num_units, layer_norm=False, recurrent_dropout=1.0, leak_factor=1.0): LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm... | 5e862cbf846d45b8a317f87588533f3fde9f0726 | <|skeleton|>
class LeakyLSTMLayer:
"""a leaky LSTM layer"""
def __init__(self, num_units, layer_norm=False, recurrent_dropout=1.0, leak_factor=1.0):
"""LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm: whether layer normalization should be applied recurrent... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LeakyLSTMLayer:
"""a leaky LSTM layer"""
def __init__(self, num_units, layer_norm=False, recurrent_dropout=1.0, leak_factor=1.0):
"""LeakyLSTMLayer constructor Args: num_units: The number of units in the one directon layer_norm: whether layer normalization should be applied recurrent_dropout: the... | the_stack_v2_python_sparse | nabu/neuralnetworks/components/layer.py | JeroenZegers/Nabu-MSSS | train | 19 |
1c6315bf1ee497701ab03a0319aa9cf1024b13f0 | [
"url = '/booking/abort/'\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response.status_code, 302)",
"url = '/booking/abort/'\nself.client.login(username=self.adminUN, password='pass')\nresponse = self.client.get(url, HTTP_HOST='website.domain')\nself.assertEqual(response.status_co... | <|body_start_0|>
url = '/booking/abort/'
response = self.client.get(url, HTTP_HOST='website.domain')
self.assertEqual(response.status_code, 302)
<|end_body_0|>
<|body_start_1|>
url = '/booking/abort/'
self.client.login(username=self.adminUN, password='pass')
response = s... | This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the current booking is cancelled. ============================== 29/10/2018 SE. | BookingAbortTestCase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BookingAbortTestCase:
"""This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the current booking is cancelled. ===========... | stack_v2_sparse_classes_75kplus_train_069806 | 26,818 | permissive | [
{
"docstring": "Test that the booking abort view will display an error whilst not logged in and no booking.",
"name": "test_not_logged_in_no_booking",
"signature": "def test_not_logged_in_no_booking(self)"
},
{
"docstring": "Test that the booking abort view will display an error whilst logged in... | 3 | stack_v2_sparse_classes_30k_train_009096 | Implement the Python class `BookingAbortTestCase` described below.
Class description:
This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the cu... | Implement the Python class `BookingAbortTestCase` described below.
Class description:
This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the cu... | 37d2942efcbdaad072f7a06ac876a40e0f69f702 | <|skeleton|>
class BookingAbortTestCase:
"""This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the current booking is cancelled. ===========... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BookingAbortTestCase:
"""This does not seem to be working currently. The "Cancel in progress booking" button takes user to an unrelated (broken) URL. The user then has to manually 'back' to get to the moorings website, and refresh in order to see that the current booking is cancelled. ========================... | the_stack_v2_python_sparse | mooring/test_views.py | dbca-wa/moorings | train | 0 |
493e6b898de91dbdeae4fe31d523d2de41e2ba2d | [
"day_of_year = [1, 10, 100, 365]\nexpected_result = [-23.1223537018, -22.1987731152, 7.20726681123, -23.2078460336]\nfor i, dayval in enumerate(day_of_year):\n result = calc_solar_declination(dayval)\n self.assertIsInstance(result, float)\n self.assertAlmostEqual(result, expected_result[i])",
"day_of_yea... | <|body_start_0|>
day_of_year = [1, 10, 100, 365]
expected_result = [-23.1223537018, -22.1987731152, 7.20726681123, -23.2078460336]
for i, dayval in enumerate(day_of_year):
result = calc_solar_declination(dayval)
self.assertIsInstance(result, float)
self.assert... | Test Solar declination. | Test_calc_solar_declination | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_calc_solar_declination:
"""Test Solar declination."""
def test_basic_solar_declination(self):
"""Test the calc of declination for different days of the year"""
<|body_0|>
def test_solar_dec_raises_exception(self):
"""Test an exception is raised if day of yea... | stack_v2_sparse_classes_75kplus_train_069807 | 16,648 | permissive | [
{
"docstring": "Test the calc of declination for different days of the year",
"name": "test_basic_solar_declination",
"signature": "def test_basic_solar_declination(self)"
},
{
"docstring": "Test an exception is raised if day of year out of range",
"name": "test_solar_dec_raises_exception",
... | 2 | stack_v2_sparse_classes_30k_val_002983 | Implement the Python class `Test_calc_solar_declination` described below.
Class description:
Test Solar declination.
Method signatures and docstrings:
- def test_basic_solar_declination(self): Test the calc of declination for different days of the year
- def test_solar_dec_raises_exception(self): Test an exception is... | Implement the Python class `Test_calc_solar_declination` described below.
Class description:
Test Solar declination.
Method signatures and docstrings:
- def test_basic_solar_declination(self): Test the calc of declination for different days of the year
- def test_solar_dec_raises_exception(self): Test an exception is... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_calc_solar_declination:
"""Test Solar declination."""
def test_basic_solar_declination(self):
"""Test the calc of declination for different days of the year"""
<|body_0|>
def test_solar_dec_raises_exception(self):
"""Test an exception is raised if day of yea... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test_calc_solar_declination:
"""Test Solar declination."""
def test_basic_solar_declination(self):
"""Test the calc of declination for different days of the year"""
day_of_year = [1, 10, 100, 365]
expected_result = [-23.1223537018, -22.1987731152, 7.20726681123, -23.2078460336]
... | the_stack_v2_python_sparse | improver_tests/utilities/solar/test_solar.py | metoppv/improver | train | 101 |
9ba47c987701be3cad3e1e5f6f7e8fc67312b596 | [
"email = self.cleaned_data.get('email')\nuser = User.objects.filter(email=email)\nif user.exists():\n raise forms.ValidationError('Email is taken.Please enter some other value')\nreturn email",
"cleaned_data = super().clean()\npassword1 = cleaned_data.get('password1')\npassword2 = cleaned_data.get('passwrod2')... | <|body_start_0|>
email = self.cleaned_data.get('email')
user = User.objects.filter(email=email)
if user.exists():
raise forms.ValidationError('Email is taken.Please enter some other value')
return email
<|end_body_0|>
<|body_start_1|>
cleaned_data = super().clean()
... | The default | Registration | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Registration:
"""The default"""
def clean_email(self):
"""To varify email"""
<|body_0|>
def clean(self):
"""Verify both passwords match."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
email = self.cleaned_data.get('email')
user = User.o... | stack_v2_sparse_classes_75kplus_train_069808 | 3,026 | no_license | [
{
"docstring": "To varify email",
"name": "clean_email",
"signature": "def clean_email(self)"
},
{
"docstring": "Verify both passwords match.",
"name": "clean",
"signature": "def clean(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_023321 | Implement the Python class `Registration` described below.
Class description:
The default
Method signatures and docstrings:
- def clean_email(self): To varify email
- def clean(self): Verify both passwords match. | Implement the Python class `Registration` described below.
Class description:
The default
Method signatures and docstrings:
- def clean_email(self): To varify email
- def clean(self): Verify both passwords match.
<|skeleton|>
class Registration:
"""The default"""
def clean_email(self):
"""To varify ... | 2550cc03fff09a35d24d8b712040a445bbd198e8 | <|skeleton|>
class Registration:
"""The default"""
def clean_email(self):
"""To varify email"""
<|body_0|>
def clean(self):
"""Verify both passwords match."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Registration:
"""The default"""
def clean_email(self):
"""To varify email"""
email = self.cleaned_data.get('email')
user = User.objects.filter(email=email)
if user.exists():
raise forms.ValidationError('Email is taken.Please enter some other value')
ret... | the_stack_v2_python_sparse | LogInOut/user/forms.py | Kaushalkhokhar/django-modules | train | 0 |
297ff7620da54b1c9ebd752947018bf34dec1ab7 | [
"self.__k = k\nself.__min_heap = []\nfor n in nums:\n self.add(n)",
"heapq.heappush(self.__min_heap, val)\nif len(self.__min_heap) > self.__k:\n heapq.heappop(self.__min_heap)\nreturn self.__min_heap[0]"
] | <|body_start_0|>
self.__k = k
self.__min_heap = []
for n in nums:
self.add(n)
<|end_body_0|>
<|body_start_1|>
heapq.heappush(self.__min_heap, val)
if len(self.__min_heap) > self.__k:
heapq.heappop(self.__min_heap)
return self.__min_heap[0]
<|end_b... | KthLargest | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.__k = k
self.__min_heap = []
for n in... | stack_v2_sparse_classes_75kplus_train_069809 | 550 | permissive | [
{
"docstring": ":type k: int :type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, k, nums)"
},
{
"docstring": ":type val: int :rtype: int",
"name": "add",
"signature": "def add(self, val)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034690 | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int | Implement the Python class `KthLargest` described below.
Class description:
Implement the KthLargest class.
Method signatures and docstrings:
- def __init__(self, k, nums): :type k: int :type nums: List[int]
- def add(self, val): :type val: int :rtype: int
<|skeleton|>
class KthLargest:
def __init__(self, k, nu... | 4dc4e6642dc92f1983c13564cc0fd99917cab358 | <|skeleton|>
class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
<|body_0|>
def add(self, val):
""":type val: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KthLargest:
def __init__(self, k, nums):
""":type k: int :type nums: List[int]"""
self.__k = k
self.__min_heap = []
for n in nums:
self.add(n)
def add(self, val):
""":type val: int :rtype: int"""
heapq.heappush(self.__min_heap, val)
if l... | the_stack_v2_python_sparse | Python/kth-largest-element-in-a-stream.py | kamyu104/LeetCode-Solutions | train | 4,549 | |
09b2b0a17afad38f545925f4d0406d5c7e87502e | [
"errorString = ''\nif id == -1:\n errorString += 'Invalid ID, must be an integer \\n'\nif len(title) == 0:\n errorString += 'The title cannot be empty \\n'\nif len(desc) == 0:\n errorString += 'The description cannot be empty \\n'\nif len(author) == 0:\n errorString += 'The author name cannot be empty \... | <|body_start_0|>
errorString = ''
if id == -1:
errorString += 'Invalid ID, must be an integer \n'
if len(title) == 0:
errorString += 'The title cannot be empty \n'
if len(desc) == 0:
errorString += 'The description cannot be empty \n'
if len(au... | Validator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Validator:
def validateNewBook(self, id, title, desc, author):
""":param id: int :param title: string :param desc: string :param author: author :return: "" if the input data is correct, an error string otherwise"""
<|body_0|>
def validateNewClient(self, id, name):
""... | stack_v2_sparse_classes_75kplus_train_069810 | 1,162 | no_license | [
{
"docstring": ":param id: int :param title: string :param desc: string :param author: author :return: \"\" if the input data is correct, an error string otherwise",
"name": "validateNewBook",
"signature": "def validateNewBook(self, id, title, desc, author)"
},
{
"docstring": ":param id: int :pa... | 2 | stack_v2_sparse_classes_30k_train_033847 | Implement the Python class `Validator` described below.
Class description:
Implement the Validator class.
Method signatures and docstrings:
- def validateNewBook(self, id, title, desc, author): :param id: int :param title: string :param desc: string :param author: author :return: "" if the input data is correct, an e... | Implement the Python class `Validator` described below.
Class description:
Implement the Validator class.
Method signatures and docstrings:
- def validateNewBook(self, id, title, desc, author): :param id: int :param title: string :param desc: string :param author: author :return: "" if the input data is correct, an e... | 63ade23342e822c76bedde8385881c823920027c | <|skeleton|>
class Validator:
def validateNewBook(self, id, title, desc, author):
""":param id: int :param title: string :param desc: string :param author: author :return: "" if the input data is correct, an error string otherwise"""
<|body_0|>
def validateNewClient(self, id, name):
""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Validator:
def validateNewBook(self, id, title, desc, author):
""":param id: int :param title: string :param desc: string :param author: author :return: "" if the input data is correct, an error string otherwise"""
errorString = ''
if id == -1:
errorString += 'Invalid ID, m... | the_stack_v2_python_sparse | validation/validator.py | marian3525/Assignment05-07-08-09 | train | 0 | |
63986f0297d48db3861456e49677712f25618874 | [
"self._august_gateway = None\nself.user_auth_details = {}\nself._needs_reset = False\nsuper().__init__()",
"if self._august_gateway is None:\n self._august_gateway = AugustGateway(self.hass)\nerrors = {}\nif user_input is not None:\n combined_inputs = {**self.user_auth_details, **user_input}\n await self... | <|body_start_0|>
self._august_gateway = None
self.user_auth_details = {}
self._needs_reset = False
super().__init__()
<|end_body_0|>
<|body_start_1|>
if self._august_gateway is None:
self._august_gateway = AugustGateway(self.hass)
errors = {}
if user_... | Handle a config flow for August. | AugustConfigFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AugustConfigFlow:
"""Handle a config flow for August."""
def __init__(self):
"""Store an AugustGateway()."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle the initial step."""
<|body_1|>
async def async_step_validation(self, ... | stack_v2_sparse_classes_75kplus_train_069811 | 5,668 | permissive | [
{
"docstring": "Store an AugustGateway().",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Handle the initial step.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input=None)"
},
{
"docstring": "Handle validation (2fa) st... | 6 | stack_v2_sparse_classes_30k_train_007872 | Implement the Python class `AugustConfigFlow` described below.
Class description:
Handle a config flow for August.
Method signatures and docstrings:
- def __init__(self): Store an AugustGateway().
- async def async_step_user(self, user_input=None): Handle the initial step.
- async def async_step_validation(self, user... | Implement the Python class `AugustConfigFlow` described below.
Class description:
Handle a config flow for August.
Method signatures and docstrings:
- def __init__(self): Store an AugustGateway().
- async def async_step_user(self, user_input=None): Handle the initial step.
- async def async_step_validation(self, user... | ed4ab403deaed9e8c95e0db728477fcb012bf4fa | <|skeleton|>
class AugustConfigFlow:
"""Handle a config flow for August."""
def __init__(self):
"""Store an AugustGateway()."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle the initial step."""
<|body_1|>
async def async_step_validation(self, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AugustConfigFlow:
"""Handle a config flow for August."""
def __init__(self):
"""Store an AugustGateway()."""
self._august_gateway = None
self.user_auth_details = {}
self._needs_reset = False
super().__init__()
async def async_step_user(self, user_input=None):
... | the_stack_v2_python_sparse | homeassistant/components/august/config_flow.py | tchellomello/home-assistant | train | 8 |
c6e2aa8ca41fe3c51bc0573524b5b518437caa76 | [
"create_member_url = 'https://qyapi.weixin.qq.com/cgi-bin/user/create'\ndata = {'userid': member_info['userid'], 'name': member_info['name'], 'alias': member_info['alias'], 'mobile': member_info['mobile'], 'department': member_info['department']}\nr = self.send('POST', url=create_member_url, json=data)\nreturn r.js... | <|body_start_0|>
create_member_url = 'https://qyapi.weixin.qq.com/cgi-bin/user/create'
data = {'userid': member_info['userid'], 'name': member_info['name'], 'alias': member_info['alias'], 'mobile': member_info['mobile'], 'department': member_info['department']}
r = self.send('POST', url=create_m... | Address | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Address:
def create_member(self, member_info):
"""创建成员 :param member_info: yaml文件中的用户信息 :return:"""
<|body_0|>
def get_member(self, member_info):
"""获取成员 :param member_info: yaml文件中的用户信息 :return:"""
<|body_1|>
def update_member(self, member_info, new_nam... | stack_v2_sparse_classes_75kplus_train_069812 | 2,002 | no_license | [
{
"docstring": "创建成员 :param member_info: yaml文件中的用户信息 :return:",
"name": "create_member",
"signature": "def create_member(self, member_info)"
},
{
"docstring": "获取成员 :param member_info: yaml文件中的用户信息 :return:",
"name": "get_member",
"signature": "def get_member(self, member_info)"
},
... | 4 | stack_v2_sparse_classes_30k_train_043601 | Implement the Python class `Address` described below.
Class description:
Implement the Address class.
Method signatures and docstrings:
- def create_member(self, member_info): 创建成员 :param member_info: yaml文件中的用户信息 :return:
- def get_member(self, member_info): 获取成员 :param member_info: yaml文件中的用户信息 :return:
- def updat... | Implement the Python class `Address` described below.
Class description:
Implement the Address class.
Method signatures and docstrings:
- def create_member(self, member_info): 创建成员 :param member_info: yaml文件中的用户信息 :return:
- def get_member(self, member_info): 获取成员 :param member_info: yaml文件中的用户信息 :return:
- def updat... | a36880bf669d2ab30eb601f6402dbc876a8cb7a2 | <|skeleton|>
class Address:
def create_member(self, member_info):
"""创建成员 :param member_info: yaml文件中的用户信息 :return:"""
<|body_0|>
def get_member(self, member_info):
"""获取成员 :param member_info: yaml文件中的用户信息 :return:"""
<|body_1|>
def update_member(self, member_info, new_nam... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Address:
def create_member(self, member_info):
"""创建成员 :param member_info: yaml文件中的用户信息 :return:"""
create_member_url = 'https://qyapi.weixin.qq.com/cgi-bin/user/create'
data = {'userid': member_info['userid'], 'name': member_info['name'], 'alias': member_info['alias'], 'mobile': membe... | the_stack_v2_python_sparse | taskwork/stage10_live_request/wework/address.py | fatfatfatFatTiger/HogwartsLG6 | train | 0 | |
8c5abc218898cad9bcf522a0ce89374cb063c380 | [
"lenth = len(nums)\nfor i in range(lenth):\n for j in range(i + 1, lenth):\n if nums[i] + nums[j] == target:\n return [i, j]",
"hashmap = {}\nfor index, value in enumerate(nums):\n hashmap[value] = index\nfor index, value in enumerate(nums):\n if target - value in hashmap:\n j = ... | <|body_start_0|>
lenth = len(nums)
for i in range(lenth):
for j in range(i + 1, lenth):
if nums[i] + nums[j] == target:
return [i, j]
<|end_body_0|>
<|body_start_1|>
hashmap = {}
for index, value in enumerate(nums):
hashmap[val... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def twoSum_01(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum_02(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_1|>
def twoSum_03(self, nums... | stack_v2_sparse_classes_75kplus_train_069813 | 1,504 | permissive | [
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum_01",
"signature": "def twoSum_01(self, nums, target)"
},
{
"docstring": ":type nums: List[int] :type target: int :rtype: List[int]",
"name": "twoSum_02",
"signature": "def twoSum_02(self, nums, ta... | 3 | stack_v2_sparse_classes_30k_train_050933 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum_01(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum_02(self, nums, target): :type nums: List[int] :type target: int :rtype: ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def twoSum_01(self, nums, target): :type nums: List[int] :type target: int :rtype: List[int]
- def twoSum_02(self, nums, target): :type nums: List[int] :type target: int :rtype: ... | 4a6d46c179d7f52054c417b2aa21708331ac84c5 | <|skeleton|>
class Solution:
def twoSum_01(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_0|>
def twoSum_02(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
<|body_1|>
def twoSum_03(self, nums... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def twoSum_01(self, nums, target):
""":type nums: List[int] :type target: int :rtype: List[int]"""
lenth = len(nums)
for i in range(lenth):
for j in range(i + 1, lenth):
if nums[i] + nums[j] == target:
return [i, j]
def two... | the_stack_v2_python_sparse | problems/哈希表/01. 两数之和/two-sum.py | HannibalXZX/LeetCode | train | 1 | |
77ee5f94df8b4f32597096daf0a2c5715d48c3f6 | [
"result = []\nothers = [\"'s\", 'the', 'that', 'this', 'to', '-PRON-']\nfor sent in text:\n sent = str(sent).lower()\n sent = re.sub('facebook', 'social media', sent)\n sent = re.sub('twitter', 'social media', sent)\n sent = re.sub('instagram', 'social media', sent)\n sent = re.sub('whatsapp', 'socia... | <|body_start_0|>
result = []
others = ["'s", 'the', 'that', 'this', 'to', '-PRON-']
for sent in text:
sent = str(sent).lower()
sent = re.sub('facebook', 'social media', sent)
sent = re.sub('twitter', 'social media', sent)
sent = re.sub('instagram',... | Preprocessing | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format fo... | stack_v2_sparse_classes_75kplus_train_069814 | 5,915 | permissive | [
{
"docstring": "Function that identify sensible information, anonymize and transforms the data in a useful format for using with tokens. Parameters ------------- text : (list) the list of text to be preprocessed irrelevant_pos : (list) a list of irrelevant 'pos' tags avoid_entities : (list) a list of entity lab... | 2 | stack_v2_sparse_classes_30k_train_050174 | Implement the Python class `Preprocessing` described below.
Class description:
Implement the Preprocessing class.
Method signatures and docstrings:
- def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE'])... | Implement the Python class `Preprocessing` described below.
Class description:
Implement the Preprocessing class.
Method signatures and docstrings:
- def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE'])... | 3a83cb05c0157639e84b1936a9b5656ae6b50e46 | <|skeleton|>
class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format fo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Preprocessing:
def general(self, text, min_token_len=2, irrelevant_pos=['PRON', 'SPACE', 'PUNCT', 'ADV', 'ADP', 'CCONJ', 'AUX', 'PRP'], avoid_entities=['PERSON', 'ORG', 'LOC', 'GPE']):
"""Function that identify sensible information, anonymize and transforms the data in a useful format for using with t... | the_stack_v2_python_sparse | src/data/preprocess.py | Sukriti1312/UBC_MDS_Capstone | train | 0 | |
b3a486a5572cf1997231f36f6b3148b1325be99c | [
"self.completion_percentage = completion_percentage\nself.error_message = error_message\nself.events = events\nself.in_progress = in_progress\nself.message = message\nself.seconds_remaining = seconds_remaining\nself.warnings_found = warnings_found",
"if dictionary is None:\n return None\ncompletion_percentage ... | <|body_start_0|>
self.completion_percentage = completion_percentage
self.error_message = error_message
self.events = events
self.in_progress = in_progress
self.message = message
self.seconds_remaining = seconds_remaining
self.warnings_found = warnings_found
<|end_... | Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate completion percentage for the Cluster creation process. error_message (string): Specifies a descri... | ClusterCreationProgressResult | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClusterCreationProgressResult:
"""Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate completion percentage for the Cluster cre... | stack_v2_sparse_classes_75kplus_train_069815 | 3,737 | permissive | [
{
"docstring": "Constructor for the ClusterCreationProgressResult class",
"name": "__init__",
"signature": "def __init__(self, completion_percentage=None, error_message=None, events=None, in_progress=None, message=None, seconds_remaining=None, warnings_found=None)"
},
{
"docstring": "Creates an ... | 2 | stack_v2_sparse_classes_30k_train_008177 | Implement the Python class `ClusterCreationProgressResult` described below.
Class description:
Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate co... | Implement the Python class `ClusterCreationProgressResult` described below.
Class description:
Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate co... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ClusterCreationProgressResult:
"""Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate completion percentage for the Cluster cre... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClusterCreationProgressResult:
"""Implementation of the 'ClusterCreationProgressResult' model. Specifies the values returned after a successful request to get the Cluster creation progress. Attributes: completion_percentage (int): Specifies an approximate completion percentage for the Cluster creation process... | the_stack_v2_python_sparse | cohesity_management_sdk/models/cluster_creation_progress_result.py | cohesity/management-sdk-python | train | 24 |
cee6b35a9d97b97eb65eb16746ee5bbcd2d71ab0 | [
"self.criterion = nn.CrossEntropyLoss()\nself.num_epochs = num_epochs\nself.batch_size = batch_size\nself.weight_decay = weight_decay\nself.pretrained = pretrained\nself.model = model\nif model == 'CNN':\n self.net = CNN()\n self.optimizer = optim.Adamax(self.net.parameters(), weight_decay=0)\nelif model == '... | <|body_start_0|>
self.criterion = nn.CrossEntropyLoss()
self.num_epochs = num_epochs
self.batch_size = batch_size
self.weight_decay = weight_decay
self.pretrained = pretrained
self.model = model
if model == 'CNN':
self.net = CNN()
self.opti... | NetTrainer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetTrainer:
def __init__(self, num_epochs, batch_size, weight_decay, model='TS', pretrained=False):
"""Initialization for the net trainer :param num_epochs: how many epochs of training :param batch_size: batch size dimension :param weight_decay: weight decay value :param model: model to ... | stack_v2_sparse_classes_75kplus_train_069816 | 6,985 | no_license | [
{
"docstring": "Initialization for the net trainer :param num_epochs: how many epochs of training :param batch_size: batch size dimension :param weight_decay: weight decay value :param model: model to train between [LSTM, LOG, CNN, TS] :param pretrained: parameter to load weights of pretrained network",
"na... | 3 | stack_v2_sparse_classes_30k_train_036344 | Implement the Python class `NetTrainer` described below.
Class description:
Implement the NetTrainer class.
Method signatures and docstrings:
- def __init__(self, num_epochs, batch_size, weight_decay, model='TS', pretrained=False): Initialization for the net trainer :param num_epochs: how many epochs of training :par... | Implement the Python class `NetTrainer` described below.
Class description:
Implement the NetTrainer class.
Method signatures and docstrings:
- def __init__(self, num_epochs, batch_size, weight_decay, model='TS', pretrained=False): Initialization for the net trainer :param num_epochs: how many epochs of training :par... | 967f7ed64a65cbd687abf4224110684367f5caa1 | <|skeleton|>
class NetTrainer:
def __init__(self, num_epochs, batch_size, weight_decay, model='TS', pretrained=False):
"""Initialization for the net trainer :param num_epochs: how many epochs of training :param batch_size: batch size dimension :param weight_decay: weight decay value :param model: model to ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NetTrainer:
def __init__(self, num_epochs, batch_size, weight_decay, model='TS', pretrained=False):
"""Initialization for the net trainer :param num_epochs: how many epochs of training :param batch_size: batch size dimension :param weight_decay: weight decay value :param model: model to train between ... | the_stack_v2_python_sparse | project1_bci/src/main/model/trainer.py | HongChen1995/bci_deeplearning | train | 0 | |
8c9ec614f83314eb3b68788a60ccd2359d719b59 | [
"super(BaselineEarlyFusion, self).__init__()\ncfg.MODEL.FEATURE_FUSION = 'concat'\nself.multi_extractor = MultiExtractor(cfg)\nself.earyly_fusion = EarlyFusion(cfg)\nif cfg.MODEL.DEVICE == 'cuda':\n self.earyly_fusion = self.earyly_fusion.cuda()",
"x = self.multi_extractor(x)\nout, hid_feature = self.earyly_fu... | <|body_start_0|>
super(BaselineEarlyFusion, self).__init__()
cfg.MODEL.FEATURE_FUSION = 'concat'
self.multi_extractor = MultiExtractor(cfg)
self.earyly_fusion = EarlyFusion(cfg)
if cfg.MODEL.DEVICE == 'cuda':
self.earyly_fusion = self.earyly_fusion.cuda()
<|end_body_0... | BaselineEarlyFusion | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaselineEarlyFusion:
def __init__(self, cfg):
""":param num_class: :param requirements: Should not include class part."""
<|body_0|>
def forward(self, x, return_feature=False):
""":param x: A list of tensor :return:"""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_069817 | 8,984 | no_license | [
{
"docstring": ":param num_class: :param requirements: Should not include class part.",
"name": "__init__",
"signature": "def __init__(self, cfg)"
},
{
"docstring": ":param x: A list of tensor :return:",
"name": "forward",
"signature": "def forward(self, x, return_feature=False)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009698 | Implement the Python class `BaselineEarlyFusion` described below.
Class description:
Implement the BaselineEarlyFusion class.
Method signatures and docstrings:
- def __init__(self, cfg): :param num_class: :param requirements: Should not include class part.
- def forward(self, x, return_feature=False): :param x: A lis... | Implement the Python class `BaselineEarlyFusion` described below.
Class description:
Implement the BaselineEarlyFusion class.
Method signatures and docstrings:
- def __init__(self, cfg): :param num_class: :param requirements: Should not include class part.
- def forward(self, x, return_feature=False): :param x: A lis... | 390acce96c8422fff1a6e14e86437b3cc2e414cb | <|skeleton|>
class BaselineEarlyFusion:
def __init__(self, cfg):
""":param num_class: :param requirements: Should not include class part."""
<|body_0|>
def forward(self, x, return_feature=False):
""":param x: A list of tensor :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaselineEarlyFusion:
def __init__(self, cfg):
""":param num_class: :param requirements: Should not include class part."""
super(BaselineEarlyFusion, self).__init__()
cfg.MODEL.FEATURE_FUSION = 'concat'
self.multi_extractor = MultiExtractor(cfg)
self.earyly_fusion = Earl... | the_stack_v2_python_sparse | libs/models/baseline.py | wkoa/Multimodal_USMC | train | 0 | |
4313442950ae89d79f8cbccda476142b88b93b91 | [
"self.poly_degree = poly_degree\nself.ciph_modulus = ciph_modulus\nself.big_modulus = big_modulus\nself.scaling_factor = scaling_factor\nself.num_taylor_iterations = taylor_iterations\nself.hamming_weight = poly_degree // 4\nself.crt_context = None\nif prime_size:\n num_primes = 1 + int(1 + math.log(poly_degree,... | <|body_start_0|>
self.poly_degree = poly_degree
self.ciph_modulus = ciph_modulus
self.big_modulus = big_modulus
self.scaling_factor = scaling_factor
self.num_taylor_iterations = taylor_iterations
self.hamming_weight = poly_degree // 4
self.crt_context = None
... | An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for bootstrapping. scaling_factor (float): Scaling factor to multiply by. hamming_weight... | CKKSParameters | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CKKSParameters:
"""An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for bootstrapping. scaling_factor (float): Sca... | stack_v2_sparse_classes_75kplus_train_069818 | 2,815 | permissive | [
{
"docstring": "Inits Parameters with the given parameters. Args: poly_degree (int): Degree d of polynomial of ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for bootstrapping. scaling_factor (float): Scaling factor to multiply by. taylor_iterations (int): ... | 2 | null | Implement the Python class `CKKSParameters` described below.
Class description:
An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for boo... | Implement the Python class `CKKSParameters` described below.
Class description:
An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for boo... | be700505547b81671c37026e55c4eefbd44dcaae | <|skeleton|>
class CKKSParameters:
"""An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for bootstrapping. scaling_factor (float): Sca... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CKKSParameters:
"""An instance of parameters for the CKKS scheme. Attributes: poly_degree (int): Degree d of polynomial that determines the quotient ring R. ciph_modulus (int): Coefficient modulus of ciphertexts. big_modulus (int): Large modulus used for bootstrapping. scaling_factor (float): Scaling factor t... | the_stack_v2_python_sparse | ckks/ckks_parameters.py | seounghwan-oh/py_FHE_for_homomorphic_encryption | train | 3 |
ca317eabfa3f0a5b00ceff03b256a9eab98cde77 | [
"super(Decoder, self).__init__()\nself.N = N\nself.dm = dm\nself.embedding = tf.keras.layers.Embedding(input_vocab, dm)\nself.positional_encoding = positional_encoding(max_seq_len, dm)\nself.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for __ in range(self.N)]\nself.dropout = tf.keras.layers.Dropout(drop_rate)"... | <|body_start_0|>
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
self.positional_encoding = positional_encoding(max_seq_len, dm)
self.blocks = [DecoderBlock(dm, h, hidden, drop_rate) for __ in range(self.... | Decoder for a transformer | Decoder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""Public instance method"""
... | stack_v2_sparse_classes_75kplus_train_069819 | 1,600 | no_license | [
{
"docstring": "Class constructor",
"name": "__init__",
"signature": "def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1)"
},
{
"docstring": "Public instance method",
"name": "call",
"signature": "def call(self, x, encoder_output, training, look_ahead_mask, padd... | 2 | stack_v2_sparse_classes_30k_train_033729 | Implement the Python class `Decoder` described below.
Class description:
Decoder for a transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): Public i... | Implement the Python class `Decoder` described below.
Class description:
Decoder for a transformer
Method signatures and docstrings:
- def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1): Class constructor
- def call(self, x, encoder_output, training, look_ahead_mask, padding_mask): Public i... | c23deee331a71a089197547fcae4c1eefb8d24ef | <|skeleton|>
class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
<|body_0|>
def call(self, x, encoder_output, training, look_ahead_mask, padding_mask):
"""Public instance method"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
"""Decoder for a transformer"""
def __init__(self, N, dm, h, hidden, input_vocab, max_seq_len, drop_rate=0.1):
"""Class constructor"""
super(Decoder, self).__init__()
self.N = N
self.dm = dm
self.embedding = tf.keras.layers.Embedding(input_vocab, dm)
... | the_stack_v2_python_sparse | supervised_learning/0x11-attention/10-transformer_decoder.py | YosriGFX/holbertonschool-machine_learning | train | 0 |
03a97e2ddfc808a0c773b44ee47ef4948d02dbc9 | [
"length = maximum = 0\nres = s[0] if s != '' else ''\nfor i, c in enumerate(s):\n for h in range(min(i, len(s) - i - 1)):\n if s[i - h - 1] == s[i + h + 1]:\n length = 2 * h + 3\n if length > maximum:\n res = s[i - h - 1:i + h + 2]\nreturn res",
"max = 0\nres = '' if... | <|body_start_0|>
length = maximum = 0
res = s[0] if s != '' else ''
for i, c in enumerate(s):
for h in range(min(i, len(s) - i - 1)):
if s[i - h - 1] == s[i + h + 1]:
length = 2 * h + 3
if length > maximum:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def longestPalindrome2(self, s):
""":type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
length = maximum = 0
res = s[0] if s != '' else ... | stack_v2_sparse_classes_75kplus_train_069820 | 2,469 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, s)"
},
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome2",
"signature": "def longestPalindrome2(self, s)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042389 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def longestPalindrome2(self, s): :type s: str :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def longestPalindrome2(self, s): :type s: str :rtype: str
<|skeleton|>
class Solution:
def longestPalindrome(self... | 3dec0f75cb9c04c3eed05eb87eb59254ec0b379a | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def longestPalindrome2(self, s):
""":type s: str :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
length = maximum = 0
res = s[0] if s != '' else ''
for i, c in enumerate(s):
for h in range(min(i, len(s) - i - 1)):
if s[i - h - 1] == s[i + h + 1]:
length ... | the_stack_v2_python_sparse | 5.== Longest Palindromic Substring.py | cosJin/top100liked | train | 0 | |
c11272ce6271903bba6c7ec0e3d90bb09cb6c505 | [
"self.user = user\nself.password = password\nif host:\n self.host = host",
"if not from_addr:\n from_addr = self.user\ndata = 'From: %s\\nTo: %s\\nSubject: %s\\n\\n%s' % (from_addr, to_addrs, subject, message)\ntry:\n server = smtplib.SMTP(self.host)\n server.ehlo()\n server.starttls()\n server.... | <|body_start_0|>
self.user = user
self.password = password
if host:
self.host = host
<|end_body_0|>
<|body_start_1|>
if not from_addr:
from_addr = self.user
data = 'From: %s\nTo: %s\nSubject: %s\n\n%s' % (from_addr, to_addrs, subject, message)
try... | Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs]) | Gmailer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Gmailer:
"""Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs])"""
def __init__(self, user, password, host=None):
"""Set Google username and passsword. use: Gmailer(user, password[, host])"""
<|body_0|>
def s... | stack_v2_sparse_classes_75kplus_train_069821 | 1,781 | no_license | [
{
"docstring": "Set Google username and passsword. use: Gmailer(user, password[, host])",
"name": "__init__",
"signature": "def __init__(self, user, password, host=None)"
},
{
"docstring": "Set username and passsword use: send(to_addrs, subject, message[, from_addrs])",
"name": "send",
"... | 2 | stack_v2_sparse_classes_30k_val_001201 | Implement the Python class `Gmailer` described below.
Class description:
Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs])
Method signatures and docstrings:
- def __init__(self, user, password, host=None): Set Google username and passsword. use: Gmailer... | Implement the Python class `Gmailer` described below.
Class description:
Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs])
Method signatures and docstrings:
- def __init__(self, user, password, host=None): Set Google username and passsword. use: Gmailer... | b02b9025add538a927538122558778c505a6c37b | <|skeleton|>
class Gmailer:
"""Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs])"""
def __init__(self, user, password, host=None):
"""Set Google username and passsword. use: Gmailer(user, password[, host])"""
<|body_0|>
def s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Gmailer:
"""Send email through Gmail. use: Gmailer(user, password[, host]) use: send(to_addrs, subject, message[, from_addrs])"""
def __init__(self, user, password, host=None):
"""Set Google username and passsword. use: Gmailer(user, password[, host])"""
self.user = user
self.pass... | the_stack_v2_python_sparse | libs/gmailer.py | yezooz/24goals | train | 0 |
30040e46f6612422c1fc0ef6f18b770859b94e18 | [
"super().__init__(flatten_flag=flatten_flag, n_pca_components=n_pca_components, extract_hog_flag=extract_hog_flag, type_cnn=type_cnn)\nself.segment_lungs_flag = segment_lungs_flag\nself.u_net_model_path = u_net_model_path\nself.u_net_weights_path = u_net_weights_path\nself.segment_lungs_method = segment_lungs_metho... | <|body_start_0|>
super().__init__(flatten_flag=flatten_flag, n_pca_components=n_pca_components, extract_hog_flag=extract_hog_flag, type_cnn=type_cnn)
self.segment_lungs_flag = segment_lungs_flag
self.u_net_model_path = u_net_model_path
self.u_net_weights_path = u_net_weights_path
... | Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity. | ChestXRayPreProcessor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChestXRayPreProcessor:
"""Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity."""
def __init__(self, flatten_flag=False, n_pca_components=0, extract_hog_flag=False, type_cnn='', segment_lungs_flag=False, segment_lungs_method='', u_net_model_path=''... | stack_v2_sparse_classes_75kplus_train_069822 | 17,079 | no_license | [
{
"docstring": "Constructor of the class. :param flatten_flag: (bool) whether to express the numpy array of data with shape [n_samples, n_features] :param n_pca_components: (int) number of principal components that will be computed from the data \"x\". Must be an integer between 2 and 3. :param extract_hog_flag... | 3 | stack_v2_sparse_classes_30k_train_036226 | Implement the Python class `ChestXRayPreProcessor` described below.
Class description:
Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity.
Method signatures and docstrings:
- def __init__(self, flatten_flag=False, n_pca_components=0, extract_hog_flag=False, type_cnn='', se... | Implement the Python class `ChestXRayPreProcessor` described below.
Class description:
Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity.
Method signatures and docstrings:
- def __init__(self, flatten_flag=False, n_pca_components=0, extract_hog_flag=False, type_cnn='', se... | c46f4b2ba7762420186cb710d2932adf00829d6f | <|skeleton|>
class ChestXRayPreProcessor:
"""Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity."""
def __init__(self, flatten_flag=False, n_pca_components=0, extract_hog_flag=False, type_cnn='', segment_lungs_flag=False, segment_lungs_method='', u_net_model_path=''... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChestXRayPreProcessor:
"""Children Class of ImagePreProcessor. Used to transform 2D X-Ray Images only of the chest cavity."""
def __init__(self, flatten_flag=False, n_pca_components=0, extract_hog_flag=False, type_cnn='', segment_lungs_flag=False, segment_lungs_method='', u_net_model_path='', u_net_weigh... | the_stack_v2_python_sparse | pre_processors.py | jonathand94/ML-Classifiers-Library | train | 0 |
bcc675325ec9a1ad9fae9361a2baac1bef7dfd75 | [
"url = 'https://www.zhihu.com'\nfor _ in range(2):\n async with self.client.get(url) as r:\n resp = await r.text()\n session_token = re.findall('session_token=(.*?)\\\\&', resp)\n if session_token:\n session_token = session_token[0]\n break\nelse:\n raise AssertionError('获取sessi... | <|body_start_0|>
url = 'https://www.zhihu.com'
for _ in range(2):
async with self.client.get(url) as r:
resp = await r.text()
session_token = re.findall('session_token=(.*?)\\&', resp)
if session_token:
session_token = session_token... | 文章相关 | ArticleSpider | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArticleSpider:
"""文章相关"""
async def get_recommend_article(self) -> dict:
"""获取推荐文章 :return:"""
<|body_0|>
async def endorse_answer(self, uid: str, typ: str='up') -> dict:
"""赞同回答 :param uid: :param typ: up赞同, down踩, neutral中立 :return:"""
<|body_1|>
a... | stack_v2_sparse_classes_75kplus_train_069823 | 4,388 | permissive | [
{
"docstring": "获取推荐文章 :return:",
"name": "get_recommend_article",
"signature": "async def get_recommend_article(self) -> dict"
},
{
"docstring": "赞同回答 :param uid: :param typ: up赞同, down踩, neutral中立 :return:",
"name": "endorse_answer",
"signature": "async def endorse_answer(self, uid: st... | 6 | stack_v2_sparse_classes_30k_test_001627 | Implement the Python class `ArticleSpider` described below.
Class description:
文章相关
Method signatures and docstrings:
- async def get_recommend_article(self) -> dict: 获取推荐文章 :return:
- async def endorse_answer(self, uid: str, typ: str='up') -> dict: 赞同回答 :param uid: :param typ: up赞同, down踩, neutral中立 :return:
- async... | Implement the Python class `ArticleSpider` described below.
Class description:
文章相关
Method signatures and docstrings:
- async def get_recommend_article(self) -> dict: 获取推荐文章 :return:
- async def endorse_answer(self, uid: str, typ: str='up') -> dict: 赞同回答 :param uid: :param typ: up赞同, down踩, neutral中立 :return:
- async... | bd8cbae26b0027eeffa78b8a4888b3b4aa4a84e0 | <|skeleton|>
class ArticleSpider:
"""文章相关"""
async def get_recommend_article(self) -> dict:
"""获取推荐文章 :return:"""
<|body_0|>
async def endorse_answer(self, uid: str, typ: str='up') -> dict:
"""赞同回答 :param uid: :param typ: up赞同, down踩, neutral中立 :return:"""
<|body_1|>
a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArticleSpider:
"""文章相关"""
async def get_recommend_article(self) -> dict:
"""获取推荐文章 :return:"""
url = 'https://www.zhihu.com'
for _ in range(2):
async with self.client.get(url) as r:
resp = await r.text()
session_token = re.findall('sessi... | the_stack_v2_python_sparse | spider/article_spider.py | wf1314/zhihu-terminal | train | 124 |
cc15e2111cd96a422debe0d6bf491ae7cdd6723a | [
"self.bot_id = kwargs.get('bot_id')\nself.position = kwargs.get('position')\nself.rotation = kwargs.get('rotation')\nself.waypoint_position = kwargs.get('waypoint_position')",
"self.bot_id = kwargs['bot_id']\nself.position = kwargs['position']\nself.rotation = kwargs['rotation']\nself.waypoint_position = kwargs['... | <|body_start_0|>
self.bot_id = kwargs.get('bot_id')
self.position = kwargs.get('position')
self.rotation = kwargs.get('rotation')
self.waypoint_position = kwargs.get('waypoint_position')
<|end_body_0|>
<|body_start_1|>
self.bot_id = kwargs['bot_id']
self.position = kwarg... | BotTransformSyncRequest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BotTransformSyncRequest:
def __init__(self, **kwargs):
"""Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3"""
<|body_0|>
def load(self, **kwargs):
"""load from dict Exception: KeyError"""
<|body_1|>
def dump(self):
... | stack_v2_sparse_classes_75kplus_train_069824 | 26,590 | no_license | [
{
"docstring": "Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3",
"name": "__init__",
"signature": "def __init__(self, **kwargs)"
},
{
"docstring": "load from dict Exception: KeyError",
"name": "load",
"signature": "def load(self, **kwargs)"
},
{
... | 3 | stack_v2_sparse_classes_30k_train_009924 | Implement the Python class `BotTransformSyncRequest` described below.
Class description:
Implement the BotTransformSyncRequest class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3
- def load(self, **kwargs): load from... | Implement the Python class `BotTransformSyncRequest` described below.
Class description:
Implement the BotTransformSyncRequest class.
Method signatures and docstrings:
- def __init__(self, **kwargs): Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3
- def load(self, **kwargs): load from... | aa0b2697e295889e8c23a7104889ea95f2a4b6b1 | <|skeleton|>
class BotTransformSyncRequest:
def __init__(self, **kwargs):
"""Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3"""
<|body_0|>
def load(self, **kwargs):
"""load from dict Exception: KeyError"""
<|body_1|>
def dump(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BotTransformSyncRequest:
def __init__(self, **kwargs):
"""Params: bot_id: int position: Vector3 rotation: float waypoint_position: Vector3"""
self.bot_id = kwargs.get('bot_id')
self.position = kwargs.get('position')
self.rotation = kwargs.get('rotation')
self.waypoint_p... | the_stack_v2_python_sparse | message.py | songhui17/Server | train | 0 | |
4ca7cfd863d373a9f528b66a1e34984a41890c44 | [
"flags.AddOptionalInstance(parser)\nparser.add_argument('--application-default-credential', action='store_true', help='Use application default credentials to generate the login token.')\nparser.display_info.AddFormat('value(token)')",
"if args.application_default_credential:\n return generate_login_token_util.... | <|body_start_0|>
flags.AddOptionalInstance(parser)
parser.add_argument('--application-default-credential', action='store_true', help='Use application default credentials to generate the login token.')
parser.display_info.AddFormat('value(token)')
<|end_body_0|>
<|body_start_1|>
if args.... | Generate an IAM login token for Cloud SQL. | GenerateLoginToken | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GenerateLoginToken:
"""Generate an IAM login token for Cloud SQL."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arg... | stack_v2_sparse_classes_75kplus_train_069825 | 3,101 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring"... | 2 | null | Implement the Python class `GenerateLoginToken` described below.
Class description:
Generate an IAM login token for Cloud SQL.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that ... | Implement the Python class `GenerateLoginToken` described below.
Class description:
Generate an IAM login token for Cloud SQL.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that ... | 392abf004b16203030e6efd2f0af24db7c8d669e | <|skeleton|>
class GenerateLoginToken:
"""Generate an IAM login token for Cloud SQL."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arg... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GenerateLoginToken:
"""Generate an IAM login token for Cloud SQL."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are al... | the_stack_v2_python_sparse | lib/surface/sql/generate_login_token.py | google-cloud-sdk-unofficial/google-cloud-sdk | train | 9 |
ba994f4fdf5d0dfa71708f22688c7ce41f3b5e69 | [
"if kind != 'issue':\n raise NameError('Type not exists')\nself._check_labels(self._message['labels'])\nreturn self._mongofacade.get_match_labels(users, self._message['project_id'], self._message['labels'])",
"project = self._message['project_id']\nlabel_project = self._mongofacade.get_label_project(project)\n... | <|body_start_0|>
if kind != 'issue':
raise NameError('Type not exists')
self._check_labels(self._message['labels'])
return self._mongofacade.get_match_labels(users, self._message['project_id'], self._message['labels'])
<|end_body_0|>
<|body_start_1|>
project = self._message[... | Classe processore di Redmine | RedmineProcessor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RedmineProcessor:
"""Classe processore di Redmine"""
def _filter_users_by_topic(self, users: list, kind: str) -> list:
"""Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users: lista di utenti appartenenti al progetto della segnalazi... | stack_v2_sparse_classes_75kplus_train_069826 | 4,397 | no_license | [
{
"docstring": "Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users: lista di utenti appartenenti al progetto della segnalazione e disponibili nel giorno della segnalazione :param kind: tipologia della segnalazione per redmine :return: lista di utenti iscritt... | 2 | stack_v2_sparse_classes_30k_train_038609 | Implement the Python class `RedmineProcessor` described below.
Class description:
Classe processore di Redmine
Method signatures and docstrings:
- def _filter_users_by_topic(self, users: list, kind: str) -> list: Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users:... | Implement the Python class `RedmineProcessor` described below.
Class description:
Classe processore di Redmine
Method signatures and docstrings:
- def _filter_users_by_topic(self, users: list, kind: str) -> list: Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users:... | 1a23278f386e2b914fb2dbca17f795d0edea78d8 | <|skeleton|>
class RedmineProcessor:
"""Classe processore di Redmine"""
def _filter_users_by_topic(self, users: list, kind: str) -> list:
"""Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users: lista di utenti appartenenti al progetto della segnalazi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RedmineProcessor:
"""Classe processore di Redmine"""
def _filter_users_by_topic(self, users: list, kind: str) -> list:
"""Cerca gli utenti disponibili nella data della notifica iscritti ai topic della segnalazione :param users: lista di utenti appartenenti al progetto della segnalazione e disponi... | the_stack_v2_python_sparse | Butterfly/gestore_personale/concrete_processor.py | alphasixteam/Butterfly | train | 4 |
e4cac54191b6817a55b77f9c354faf792832c617 | [
"from foyer.atomtyper import find_atomtypes\nfrom foyer.topology_graph import TopologyGraph\ntop_graph = TopologyGraph.from_openff_topology(topology)\ntype_map = find_atomtypes(top_graph, forcefield=force_field)\nfor key, val in type_map.items():\n top_key = TopologyKey(atom_indices=(key,))\n self.key_map[top... | <|body_start_0|>
from foyer.atomtyper import find_atomtypes
from foyer.topology_graph import TopologyGraph
top_graph = TopologyGraph.from_openff_topology(topology)
type_map = find_atomtypes(top_graph, forcefield=force_field)
for key, val in type_map.items():
top_key =... | Handler storing vdW potentials as produced by a Foyer force field. | FoyerVDWHandler | [
"MIT",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FoyerVDWHandler:
"""Handler storing vdW potentials as produced by a Foyer force field."""
def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None:
"""Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey]."""
<|body_0|>
def store... | stack_v2_sparse_classes_75kplus_train_069827 | 3,394 | permissive | [
{
"docstring": "Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey].",
"name": "store_matches",
"signature": "def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None"
},
{
"docstring": "Extract specific force field potentials a Forcefield object.",
... | 2 | stack_v2_sparse_classes_30k_train_033205 | Implement the Python class `FoyerVDWHandler` described below.
Class description:
Handler storing vdW potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None: Populate self.key_map with key-val pairs of [Topolog... | Implement the Python class `FoyerVDWHandler` described below.
Class description:
Handler storing vdW potentials as produced by a Foyer force field.
Method signatures and docstrings:
- def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None: Populate self.key_map with key-val pairs of [Topolog... | 4616f2cff477c18e2c6ca70ac4c74c28b283a4be | <|skeleton|>
class FoyerVDWHandler:
"""Handler storing vdW potentials as produced by a Foyer force field."""
def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None:
"""Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey]."""
<|body_0|>
def store... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FoyerVDWHandler:
"""Handler storing vdW potentials as produced by a Foyer force field."""
def store_matches(self, force_field: 'Forcefield', topology: 'Topology') -> None:
"""Populate self.key_map with key-val pairs of [TopologyKey, PotentialKey]."""
from foyer.atomtyper import find_atomt... | the_stack_v2_python_sparse | openff/interchange/foyer/_nonbonded.py | openforcefield/openff-interchange | train | 39 |
af03ec9ac10d6e4388997034ccd9215a7e18a820 | [
"self.language = language\nself.sum_eng = 0\nself.sum_fre = 0\nself.sum_ger = 0\nself.conn_eng = 0\nself.conn_fre = 0\nself.conn_ger = 0\nself.english_lang_percentage = None\nself.french_lang_percentage = None\nself.german_lang_percentage = None\nself.foreign_percentage = None",
"total = self.sum_eng + self.sum_f... | <|body_start_0|>
self.language = language
self.sum_eng = 0
self.sum_fre = 0
self.sum_ger = 0
self.conn_eng = 0
self.conn_fre = 0
self.conn_ger = 0
self.english_lang_percentage = None
self.french_lang_percentage = None
self.german_lang_perce... | LanguageSum class | LanguageSum | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LanguageSum:
"""LanguageSum class"""
def __init__(self, language):
"""Constructor"""
<|body_0|>
def calculate_language_percentages(self):
"""Calculate percentage for each language"""
<|body_1|>
def calculate_foreign_percentage(self):
"""Calcu... | stack_v2_sparse_classes_75kplus_train_069828 | 4,643 | no_license | [
{
"docstring": "Constructor",
"name": "__init__",
"signature": "def __init__(self, language)"
},
{
"docstring": "Calculate percentage for each language",
"name": "calculate_language_percentages",
"signature": "def calculate_language_percentages(self)"
},
{
"docstring": "Calculate... | 4 | stack_v2_sparse_classes_30k_train_024151 | Implement the Python class `LanguageSum` described below.
Class description:
LanguageSum class
Method signatures and docstrings:
- def __init__(self, language): Constructor
- def calculate_language_percentages(self): Calculate percentage for each language
- def calculate_foreign_percentage(self): Calculate percentage... | Implement the Python class `LanguageSum` described below.
Class description:
LanguageSum class
Method signatures and docstrings:
- def __init__(self, language): Constructor
- def calculate_language_percentages(self): Calculate percentage for each language
- def calculate_foreign_percentage(self): Calculate percentage... | a717e6c0fa8d0b3a5787d1536a57c5875ffb5799 | <|skeleton|>
class LanguageSum:
"""LanguageSum class"""
def __init__(self, language):
"""Constructor"""
<|body_0|>
def calculate_language_percentages(self):
"""Calculate percentage for each language"""
<|body_1|>
def calculate_foreign_percentage(self):
"""Calcu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LanguageSum:
"""LanguageSum class"""
def __init__(self, language):
"""Constructor"""
self.language = language
self.sum_eng = 0
self.sum_fre = 0
self.sum_ger = 0
self.conn_eng = 0
self.conn_fre = 0
self.conn_ger = 0
self.english_lang_... | the_stack_v2_python_sparse | src/measures/cooccurrence/sum_languages.py | niutyut/author-topic-modeling-project | train | 0 |
601f92dec65beefe5d0cdc00b202c756c69ae660 | [
"official_account = OfficialAccount.manager.add(level=OfficialAccount.LEVEL_3, name='name', email='email@email.com', original='original', wechat='wechat')\nrule = Rule.manager.add(official_account=official_account, name='rule test', reply_pattern=Rule.REPLY_PATTERN_ALL)\nkeyword = Keyword.manager.add(rule, keyword=... | <|body_start_0|>
official_account = OfficialAccount.manager.add(level=OfficialAccount.LEVEL_3, name='name', email='email@email.com', original='original', wechat='wechat')
rule = Rule.manager.add(official_account=official_account, name='rule test', reply_pattern=Rule.REPLY_PATTERN_ALL)
keyword = ... | KeywordTest | [
"BSD-3-Clause",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeywordTest:
def test_add_keyword(self):
"""测试添加关键字"""
<|body_0|>
def test_keyword_search(self):
"""测试关键字搜索"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
official_account = OfficialAccount.manager.add(level=OfficialAccount.LEVEL_3, name='name', em... | stack_v2_sparse_classes_75kplus_train_069829 | 4,271 | permissive | [
{
"docstring": "测试添加关键字",
"name": "test_add_keyword",
"signature": "def test_add_keyword(self)"
},
{
"docstring": "测试关键字搜索",
"name": "test_keyword_search",
"signature": "def test_keyword_search(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014528 | Implement the Python class `KeywordTest` described below.
Class description:
Implement the KeywordTest class.
Method signatures and docstrings:
- def test_add_keyword(self): 测试添加关键字
- def test_keyword_search(self): 测试关键字搜索 | Implement the Python class `KeywordTest` described below.
Class description:
Implement the KeywordTest class.
Method signatures and docstrings:
- def test_add_keyword(self): 测试添加关键字
- def test_keyword_search(self): 测试关键字搜索
<|skeleton|>
class KeywordTest:
def test_add_keyword(self):
"""测试添加关键字"""
... | 37a6cd54584a2e1229c943c569daed7227d9f318 | <|skeleton|>
class KeywordTest:
def test_add_keyword(self):
"""测试添加关键字"""
<|body_0|>
def test_keyword_search(self):
"""测试关键字搜索"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class KeywordTest:
def test_add_keyword(self):
"""测试添加关键字"""
official_account = OfficialAccount.manager.add(level=OfficialAccount.LEVEL_3, name='name', email='email@email.com', original='original', wechat='wechat')
rule = Rule.manager.add(official_account=official_account, name='rule test', ... | the_stack_v2_python_sparse | wechat_platform/system/keyword/tests.py | qiyeboy/wechat-platform | train | 1 | |
4192c7eb5cf5d6b12824d203e00b1b7624b5eb5d | [
"elements = self.findElements(locator)\ngoods_titles = []\nfor good_element in elements:\n title = good_element.get_attribute(attribute)\n goods_titles.append(title)\nreturn goods_titles",
"goods_titles = self.get_goods_title(locator, attribute)\ngoods_locators = []\nfor title in goods_titles:\n loc = ('... | <|body_start_0|>
elements = self.findElements(locator)
goods_titles = []
for good_element in elements:
title = good_element.get_attribute(attribute)
goods_titles.append(title)
return goods_titles
<|end_body_0|>
<|body_start_1|>
goods_titles = self.get_goo... | GoodsList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoodsList:
def get_goods_title(self, locator, attribute):
"""获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles"""
<|body_0|>
def get_goods_loc(self, locator, attribute):
"""获取所有商品列表中所有商品的locator :param locator: 定位一组元素的定位器 :... | stack_v2_sparse_classes_75kplus_train_069830 | 3,622 | no_license | [
{
"docstring": "获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles",
"name": "get_goods_title",
"signature": "def get_goods_title(self, locator, attribute)"
},
{
"docstring": "获取所有商品列表中所有商品的locator :param locator: 定位一组元素的定位器 :param attribute: 定位的元素中的属性 ... | 4 | stack_v2_sparse_classes_30k_train_024217 | Implement the Python class `GoodsList` described below.
Class description:
Implement the GoodsList class.
Method signatures and docstrings:
- def get_goods_title(self, locator, attribute): 获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles
- def get_goods_loc(self, locator, ... | Implement the Python class `GoodsList` described below.
Class description:
Implement the GoodsList class.
Method signatures and docstrings:
- def get_goods_title(self, locator, attribute): 获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles
- def get_goods_loc(self, locator, ... | d66b111e6e75998742d0215a475c66e74d9510e0 | <|skeleton|>
class GoodsList:
def get_goods_title(self, locator, attribute):
"""获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles"""
<|body_0|>
def get_goods_loc(self, locator, attribute):
"""获取所有商品列表中所有商品的locator :param locator: 定位一组元素的定位器 :... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoodsList:
def get_goods_title(self, locator, attribute):
"""获取商品列表的title :param locator: 元组--定位一组元素的定位器 :param attribute: 定位的元素中的属性 :return: goods_titles"""
elements = self.findElements(locator)
goods_titles = []
for good_element in elements:
title = good_element.g... | the_stack_v2_python_sparse | page/goods_list_bak.py | dxiaodong/test_web | train | 0 | |
b56156379b43fe1b74e6676f88816ba81dbce9cb | [
"self.condset = condset\nself.label = label\nself.condsupCount, self.rulesupCount = self.calculate_supCount(data_list)\nself.confidence = self.calculate_confidence()\nself.support = self.calculate_support(data_list)",
"condsupCount = 0\nrulesupCount = 0\nfor data in data_list:\n covered = True\n for index i... | <|body_start_0|>
self.condset = condset
self.label = label
self.condsupCount, self.rulesupCount = self.calculate_supCount(data_list)
self.confidence = self.calculate_confidence()
self.support = self.calculate_support(data_list)
<|end_body_0|>
<|body_start_1|>
condsupCoun... | Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount, support and confidence. | RuleItem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RuleItem:
"""Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount, support and confidence."""
def _... | stack_v2_sparse_classes_75kplus_train_069831 | 2,557 | no_license | [
{
"docstring": "According to the paper, each frequent k-ruleitems consists of the following: condset: a dictiondary that has key-value pair {\"item name: value, item name: value...}, where the item name are name of the column attributes. condsupCount: the support count of condset rulesupCount: the support count... | 4 | stack_v2_sparse_classes_30k_train_049277 | Implement the Python class `RuleItem` described below.
Class description:
Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount... | Implement the Python class `RuleItem` described below.
Class description:
Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount... | afe6e0df81c302ef57e2608ea371025366a64a5f | <|skeleton|>
class RuleItem:
"""Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount, support and confidence."""
def _... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RuleItem:
"""Build the class RuleItem, including condset, class label y, condsupCount, rulesupCount, support and confidence. Input: condset which include a set of items, label and the data_list. Output: a ruleitem with the value of condsupCount, rulesupCount, support and confidence."""
def __init__(self,... | the_stack_v2_python_sparse | code/ruleitem.py | C190194/Data-Mining-Project-1 | train | 0 |
25ba6233707c919214e70d69c8e494349a78a6b3 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Service responsible for tracking the catalog of available videos for playback | VideoCatalogServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VideoCatalogServiceServicer:
"""Service responsible for tracking the catalog of available videos for playback"""
def SubmitUploadedVideo(self, request, context):
"""Submit an uploaded video to the catalog"""
<|body_0|>
def SubmitYouTubeVideo(self, request, context):
... | stack_v2_sparse_classes_75kplus_train_069832 | 6,834 | permissive | [
{
"docstring": "Submit an uploaded video to the catalog",
"name": "SubmitUploadedVideo",
"signature": "def SubmitUploadedVideo(self, request, context)"
},
{
"docstring": "Submit a YouTube video to the catalog",
"name": "SubmitYouTubeVideo",
"signature": "def SubmitYouTubeVideo(self, requ... | 6 | stack_v2_sparse_classes_30k_train_017027 | Implement the Python class `VideoCatalogServiceServicer` described below.
Class description:
Service responsible for tracking the catalog of available videos for playback
Method signatures and docstrings:
- def SubmitUploadedVideo(self, request, context): Submit an uploaded video to the catalog
- def SubmitYouTubeVid... | Implement the Python class `VideoCatalogServiceServicer` described below.
Class description:
Service responsible for tracking the catalog of available videos for playback
Method signatures and docstrings:
- def SubmitUploadedVideo(self, request, context): Submit an uploaded video to the catalog
- def SubmitYouTubeVid... | 55a610c97fd53c405edb2459c2722fc03857cb83 | <|skeleton|>
class VideoCatalogServiceServicer:
"""Service responsible for tracking the catalog of available videos for playback"""
def SubmitUploadedVideo(self, request, context):
"""Submit an uploaded video to the catalog"""
<|body_0|>
def SubmitYouTubeVideo(self, request, context):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VideoCatalogServiceServicer:
"""Service responsible for tracking the catalog of available videos for playback"""
def SubmitUploadedVideo(self, request, context):
"""Submit an uploaded video to the catalog"""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Meth... | the_stack_v2_python_sparse | killrvideo/video_catalog/video_catalog_service_pb2_grpc.py | krzysztof-adamski/killrvideo-python | train | 0 |
e0f920da3a83d2c2b10d4043c789f6ff55526800 | [
"self.n_estimators = n_estimators\nself.max_depth = max_depth\nself.feature_subsample_size = feature_subsample_size",
"if self.feature_subsample_size is None:\n self.feature_subsample_size = 1 / 3\nif X_val is None or y_val is None:\n train_size = int(0.7 * X.shape[0])\n X_train = X[:train_size, :]\n ... | <|body_start_0|>
self.n_estimators = n_estimators
self.max_depth = max_depth
self.feature_subsample_size = feature_subsample_size
<|end_body_0|>
<|body_start_1|>
if self.feature_subsample_size is None:
self.feature_subsample_size = 1 / 3
if X_val is None or y_val is ... | RandomForestMSE | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomForestMSE:
def __init__(self, n_estimators, max_depth=None, feature_subsample_size=None, **trees_parameters):
"""n_estimators : int The number of trees in the forest. max_depth : int The maximum depth of the tree. If None then there is no limits. feature_subsample_size : float The ... | stack_v2_sparse_classes_75kplus_train_069833 | 2,740 | no_license | [
{
"docstring": "n_estimators : int The number of trees in the forest. max_depth : int The maximum depth of the tree. If None then there is no limits. feature_subsample_size : float The size of feature set for each tree. If None then use recommendations.",
"name": "__init__",
"signature": "def __init__(s... | 3 | null | Implement the Python class `RandomForestMSE` described below.
Class description:
Implement the RandomForestMSE class.
Method signatures and docstrings:
- def __init__(self, n_estimators, max_depth=None, feature_subsample_size=None, **trees_parameters): n_estimators : int The number of trees in the forest. max_depth :... | Implement the Python class `RandomForestMSE` described below.
Class description:
Implement the RandomForestMSE class.
Method signatures and docstrings:
- def __init__(self, n_estimators, max_depth=None, feature_subsample_size=None, **trees_parameters): n_estimators : int The number of trees in the forest. max_depth :... | a99cf29644ef9b2907054729c3c0204e61c34ee5 | <|skeleton|>
class RandomForestMSE:
def __init__(self, n_estimators, max_depth=None, feature_subsample_size=None, **trees_parameters):
"""n_estimators : int The number of trees in the forest. max_depth : int The maximum depth of the tree. If None then there is no limits. feature_subsample_size : float The ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RandomForestMSE:
def __init__(self, n_estimators, max_depth=None, feature_subsample_size=None, **trees_parameters):
"""n_estimators : int The number of trees in the forest. max_depth : int The maximum depth of the tree. If None then there is no limits. feature_subsample_size : float The size of featur... | the_stack_v2_python_sparse | ensembles/random_forest_mse.py | KachuraAlexandr/ml_algorithms | train | 0 | |
79418741c3bd76d3637383eccda33b311f0e6144 | [
"self._schema = schema\nself._provider = provider\nself._provider_uuid = str(self._provider.uuid)\nself._manifest = manifest\nself._date_accessor = DateAccessor()",
"infra_map = {}\nwith ProviderDBAccessor(self._provider.uuid) as provider_accessor:\n if self._provider.type == Provider.PROVIDER_OCP:\n in... | <|body_start_0|>
self._schema = schema
self._provider = provider
self._provider_uuid = str(self._provider.uuid)
self._manifest = manifest
self._date_accessor = DateAccessor()
<|end_body_0|>
<|body_start_1|>
infra_map = {}
with ProviderDBAccessor(self._provider.uu... | Base class for OpenShift on cloud infrastructure operations. | OCPCloudUpdaterBase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OCPCloudUpdaterBase:
"""Base class for OpenShift on cloud infrastructure operations."""
def __init__(self, schema, provider, manifest):
"""Initialize the class. Args: schema (str) The customer schema to associate with. provider (Provider db object) Database object for Provider. manif... | stack_v2_sparse_classes_75kplus_train_069834 | 7,325 | permissive | [
{
"docstring": "Initialize the class. Args: schema (str) The customer schema to associate with. provider (Provider db object) Database object for Provider. manifest (str) The manifest to work with. Returns: None",
"name": "__init__",
"signature": "def __init__(self, schema, provider, manifest)"
},
{... | 6 | stack_v2_sparse_classes_30k_train_015725 | Implement the Python class `OCPCloudUpdaterBase` described below.
Class description:
Base class for OpenShift on cloud infrastructure operations.
Method signatures and docstrings:
- def __init__(self, schema, provider, manifest): Initialize the class. Args: schema (str) The customer schema to associate with. provider... | Implement the Python class `OCPCloudUpdaterBase` described below.
Class description:
Base class for OpenShift on cloud infrastructure operations.
Method signatures and docstrings:
- def __init__(self, schema, provider, manifest): Initialize the class. Args: schema (str) The customer schema to associate with. provider... | 0416e5216eb1ec4b41c8dd4999adde218b1ab2e1 | <|skeleton|>
class OCPCloudUpdaterBase:
"""Base class for OpenShift on cloud infrastructure operations."""
def __init__(self, schema, provider, manifest):
"""Initialize the class. Args: schema (str) The customer schema to associate with. provider (Provider db object) Database object for Provider. manif... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OCPCloudUpdaterBase:
"""Base class for OpenShift on cloud infrastructure operations."""
def __init__(self, schema, provider, manifest):
"""Initialize the class. Args: schema (str) The customer schema to associate with. provider (Provider db object) Database object for Provider. manifest (str) The... | the_stack_v2_python_sparse | koku/masu/processor/ocp/ocp_cloud_updater_base.py | project-koku/koku | train | 225 |
cf220edcc0b38784d639e8c22fc16fae5eb008b0 | [
"errors = {}\nuser = attrs['user']\nnew_email = attrs['new_email']\npassword = attrs.pop('password')\nif user.email == new_email:\n errors['email'] = 'Provided email address is same as your current one'\nelif User.objects.filter(email=new_email).exists():\n errors['email'] = 'Invalid email address'\nif errors... | <|body_start_0|>
errors = {}
user = attrs['user']
new_email = attrs['new_email']
password = attrs.pop('password')
if user.email == new_email:
errors['email'] = 'Provided email address is same as your current one'
elif User.objects.filter(email=new_email).exist... | Serializer for starting a user email change | ChangeEmailRequestCreateSerializer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChangeEmailRequestCreateSerializer:
"""Serializer for starting a user email change"""
def validate(self, attrs):
"""Validate the change request"""
<|body_0|>
def create(self, validated_data):
"""Create the email change request"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus_train_069835 | 16,669 | permissive | [
{
"docstring": "Validate the change request",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "Create the email change request",
"name": "create",
"signature": "def create(self, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015963 | Implement the Python class `ChangeEmailRequestCreateSerializer` described below.
Class description:
Serializer for starting a user email change
Method signatures and docstrings:
- def validate(self, attrs): Validate the change request
- def create(self, validated_data): Create the email change request | Implement the Python class `ChangeEmailRequestCreateSerializer` described below.
Class description:
Serializer for starting a user email change
Method signatures and docstrings:
- def validate(self, attrs): Validate the change request
- def create(self, validated_data): Create the email change request
<|skeleton|>
c... | c5d9cda4e1ed87463da74d7956f1e1f9258f365c | <|skeleton|>
class ChangeEmailRequestCreateSerializer:
"""Serializer for starting a user email change"""
def validate(self, attrs):
"""Validate the change request"""
<|body_0|>
def create(self, validated_data):
"""Create the email change request"""
<|body_1|>
<|end_skeleto... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChangeEmailRequestCreateSerializer:
"""Serializer for starting a user email change"""
def validate(self, attrs):
"""Validate the change request"""
errors = {}
user = attrs['user']
new_email = attrs['new_email']
password = attrs.pop('password')
if user.email... | the_stack_v2_python_sparse | users/serializers.py | mitodl/mitxpro | train | 12 |
a902cb7f01dee9967ab0b38ddfd4acaa4af4c307 | [
"self.mean = []\nself.std = []\nself.d = []\nself.h = []\nself.w = []",
"self.mean.append(mean)\nself.std.append(std)\nself.d.append(d)\nself.h.append(h)\nself.w.append(w)",
"self.mean = np.median(np.array(self.mean))\nself.std = np.median(np.array(self.std))\nself.d = np.median(np.array(self.d))\nself.h = np.m... | <|body_start_0|>
self.mean = []
self.std = []
self.d = []
self.h = []
self.w = []
<|end_body_0|>
<|body_start_1|>
self.mean.append(mean)
self.std.append(std)
self.d.append(d)
self.h.append(h)
self.w.append(w)
<|end_body_1|>
<|body_start_2... | A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collects depths of the preprocessed images h: collects heights of the preproces... | Stats | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Stats:
"""A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collects depths of the preprocessed images h: ... | stack_v2_sparse_classes_75kplus_train_069836 | 23,958 | permissive | [
{
"docstring": "Initiates all the attributes Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collects depths of the preprocessed images h: collects heights of the preprocessed images w: collects wid... | 3 | stack_v2_sparse_classes_30k_train_028419 | Implement the Python class `Stats` described below.
Class description:
A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collect... | Implement the Python class `Stats` described below.
Class description:
A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collect... | c540fcc99eeacfb5c51de8daa0f8cca339f50799 | <|skeleton|>
class Stats:
"""A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collects depths of the preprocessed images h: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Stats:
"""A class collecting value distribution of preprocessed images in KiTS19 dataset Attributes ---------- mean: list collects average values in the preprocessed images std: list collects standard deviation of values in the preprocessed images d: collects depths of the preprocessed images h: collects heig... | the_stack_v2_python_sparse | vision/medical_imaging/3d-unet-kits19/preprocess.py | mlcommons/inference | train | 575 |
3bd98f5a6fa74cb053cd96ea35c8e5802c83ea03 | [
"super().__init__(dtype=dtype)\nself.dq_networks = dq_networks\nself.df = df",
"states, acts, rewards, next_states, next_states_idx = batch\ntarget_values = torch.tensor(rewards, dtype=self.dtype)\nwith torch.no_grad():\n actions = self.dq_networks.predict_values(next_states).argmax(dim=1).unsqueeze(1)\n q_... | <|body_start_0|>
super().__init__(dtype=dtype)
self.dq_networks = dq_networks
self.df = df
<|end_body_0|>
<|body_start_1|>
states, acts, rewards, next_states, next_states_idx = batch
target_values = torch.tensor(rewards, dtype=self.dtype)
with torch.no_grad():
... | Implementation of the Double Q Network technique for computing the targets. | DoubleQTargetComputer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DoubleQTargetComputer:
"""Implementation of the Double Q Network technique for computing the targets."""
def __init__(self, dq_networks, df=0.99, dtype=torch.float):
"""Instantiate the double Q-learning target computer. Args: dq_networks (core.deepq.deepqnetworks.BaseDQNetworks): The... | stack_v2_sparse_classes_75kplus_train_069837 | 17,945 | permissive | [
{
"docstring": "Instantiate the double Q-learning target computer. Args: dq_networks (core.deepq.deepqnetworks.BaseDQNetworks): The DQNetworks object that will be used to compute the targets. df (float): The discount factor dtype (torch.dtype): Type to be used in computations.",
"name": "__init__",
"sig... | 2 | null | Implement the Python class `DoubleQTargetComputer` described below.
Class description:
Implementation of the Double Q Network technique for computing the targets.
Method signatures and docstrings:
- def __init__(self, dq_networks, df=0.99, dtype=torch.float): Instantiate the double Q-learning target computer. Args: d... | Implement the Python class `DoubleQTargetComputer` described below.
Class description:
Implementation of the Double Q Network technique for computing the targets.
Method signatures and docstrings:
- def __init__(self, dq_networks, df=0.99, dtype=torch.float): Instantiate the double Q-learning target computer. Args: d... | f03f0e68577d45ec1b8a355f79283c8483dc96fc | <|skeleton|>
class DoubleQTargetComputer:
"""Implementation of the Double Q Network technique for computing the targets."""
def __init__(self, dq_networks, df=0.99, dtype=torch.float):
"""Instantiate the double Q-learning target computer. Args: dq_networks (core.deepq.deepqnetworks.BaseDQNetworks): The... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DoubleQTargetComputer:
"""Implementation of the Double Q Network technique for computing the targets."""
def __init__(self, dq_networks, df=0.99, dtype=torch.float):
"""Instantiate the double Q-learning target computer. Args: dq_networks (core.deepq.deepqnetworks.BaseDQNetworks): The DQNetworks o... | the_stack_v2_python_sparse | deepq/computations.py | fedetask/des-rl | train | 0 |
9cd07baabf121b4308920111fcd06bf36cee3509 | [
"super(CustomBatchNormManualModule, self).__init__()\nself.n_neurons = n_neurons\nself.eps = eps\nself.gamma = nn.Parameter(torch.ones(self.n_neurons))\nself.beta = nn.Parameter(torch.zeros(self.n_neurons))",
"n_batch = n_neurons = input.shape\nassert n_neurons == self.n_neurons\nCBNMF = CustomBatchNormManualFunc... | <|body_start_0|>
super(CustomBatchNormManualModule, self).__init__()
self.n_neurons = n_neurons
self.eps = eps
self.gamma = nn.Parameter(torch.ones(self.n_neurons))
self.beta = nn.Parameter(torch.zeros(self.n_neurons))
<|end_body_0|>
<|body_start_1|>
n_batch = n_neurons ... | This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backward pass. | CustomBatchNormManualModule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backw... | stack_v2_sparse_classes_75kplus_train_069838 | 9,723 | no_license | [
{
"docstring": "Initializes CustomBatchNormManualModule object. Args: n_neurons: int specifying the number of neurons eps: small float to be added to the variance for stability TODONE: Save parameters for the number of neurons and eps. Initialize parameters gamma and beta via nn.Parameter",
"name": "__init_... | 2 | stack_v2_sparse_classes_30k_train_012050 | Implement the Python class `CustomBatchNormManualModule` described below.
Class description:
This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backwa... | Implement the Python class `CustomBatchNormManualModule` described below.
Class description:
This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backwa... | 3cbafe29793af1eb14b6b23b15d5e1d8a056be9c | <|skeleton|>
class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backw... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CustomBatchNormManualModule:
"""This nn.module implements a custom version of the batch norm operation for MLPs. In self.forward the functional version CustomBatchNormManualFunction.forward is called. The automatic differentiation of PyTorch calls the backward method of this function in the backward pass."""
... | the_stack_v2_python_sparse | assignment_1/code/custom_batchnorm.py | sgraaf/uvadlc_practicals_2019 | train | 0 |
52e41a409888944d97dfbde4c3153b4bd5f89910 | [
"pg = self.usr.getPage('http://www.neopets.com/haggle.phtml?obj_info_id=%s&stock_id=%s&brr=%s' % (self.id, self.stockid, self.brr))\nform = pg.form(name='haggleform')\nform['x'], form['y'] = self.crackOCR(StringIO.StringIO(self.usr.getPage('http://www.neopets.com' + form.image).content))\nform['current_offer'] = pr... | <|body_start_0|>
pg = self.usr.getPage('http://www.neopets.com/haggle.phtml?obj_info_id=%s&stock_id=%s&brr=%s' % (self.id, self.stockid, self.brr))
form = pg.form(name='haggleform')
form['x'], form['y'] = self.crackOCR(StringIO.StringIO(self.usr.getPage('http://www.neopets.com' + form.image).con... | Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = MainShopItem("Green Apple") >>> itm.usr = usr >>> itm.stockid = "37483739" >>> itm.... | MainShopItem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MainShopItem:
"""Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = MainShopItem("Green Apple") >>> itm.usr = u... | stack_v2_sparse_classes_75kplus_train_069839 | 3,331 | permissive | [
{
"docstring": "Attempts to purchase a main shop item, returns result Uses the item's stock id and brr to navigate to the haggle page. Auotmatically downloads the OCR image from the haggle page and attempts to crack it. Submits the haggle form with the given price and returns if the item was successfully bought... | 2 | stack_v2_sparse_classes_30k_train_003106 | Implement the Python class `MainShopItem` described below.
Class description:
Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = Main... | Implement the Python class `MainShopItem` described below.
Class description:
Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = Main... | 38894157a8a3e64b6a15b3a6298490436198fc15 | <|skeleton|>
class MainShopItem:
"""Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = MainShopItem("Green Apple") >>> itm.usr = u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MainShopItem:
"""Represents a main shop item Contains functionality for purchasing a main shop item including cracking it's associated OCR. Attributes stockid (str) -- The item's stock ID brr (str) -- Item's brr Initialization See Item Example >>> itm = MainShopItem("Green Apple") >>> itm.usr = usr >>> itm.st... | the_stack_v2_python_sparse | neolib/item/MainShopItem.py | HenryHoward/Neolib | train | 0 |
4328f20147e7ecc239a45c870425bf0cc6010670 | [
"self.__rutacen = monolib.validapath(rutafolder)\nself.__fecha = datetime.datetime.now()\nself._ruta7z = self.__rutacen + exefolder + '7z.exe'\nself.__debugmode = debugmode",
"if not zipfile:\n zipfile = self.userftp\nself.arczip = self.comlib.nomarc(zipfile + '-', self.fecha, '.7z')\nself.resbdzip = self.arch... | <|body_start_0|>
self.__rutacen = monolib.validapath(rutafolder)
self.__fecha = datetime.datetime.now()
self._ruta7z = self.__rutacen + exefolder + '7z.exe'
self.__debugmode = debugmode
<|end_body_0|>
<|body_start_1|>
if not zipfile:
zipfile = self.userftp
se... | Clase para comprimir los archivos en un archivo .7z | genzipfile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class genzipfile:
"""Clase para comprimir los archivos en un archivo .7z"""
def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False):
"""Metodo inicial de genzipfile"""
<|body_0|>
def zipfiles(self, orifile=None, zipfile=None, metodo='7z'):
"""Aqui se com... | stack_v2_sparse_classes_75kplus_train_069840 | 20,354 | no_license | [
{
"docstring": "Metodo inicial de genzipfile",
"name": "__init__",
"signature": "def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False)"
},
{
"docstring": "Aqui se comprimen los archivos de una carpeta en un archivo .7z",
"name": "zipfiles",
"signature": "def zipfiles(sel... | 2 | stack_v2_sparse_classes_30k_train_004461 | Implement the Python class `genzipfile` described below.
Class description:
Clase para comprimir los archivos en un archivo .7z
Method signatures and docstrings:
- def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False): Metodo inicial de genzipfile
- def zipfiles(self, orifile=None, zipfile=None, meto... | Implement the Python class `genzipfile` described below.
Class description:
Clase para comprimir los archivos en un archivo .7z
Method signatures and docstrings:
- def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False): Metodo inicial de genzipfile
- def zipfiles(self, orifile=None, zipfile=None, meto... | 1d0fdee39a7fe85a7788a635c809377d27d76dd6 | <|skeleton|>
class genzipfile:
"""Clase para comprimir los archivos en un archivo .7z"""
def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False):
"""Metodo inicial de genzipfile"""
<|body_0|>
def zipfiles(self, orifile=None, zipfile=None, metodo='7z'):
"""Aqui se com... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class genzipfile:
"""Clase para comprimir los archivos en un archivo .7z"""
def __init__(self, rutafolder=None, exefolder='bin/', debugmode=False):
"""Metodo inicial de genzipfile"""
self.__rutacen = monolib.validapath(rutafolder)
self.__fecha = datetime.datetime.now()
self._rut... | the_stack_v2_python_sparse | lib/respaldo.py | wixard00/syncloud410 | train | 0 |
06187c02b36039b69d67b96df26d6161fbd02248 | [
"n = len(ratings)\nres = [1] * n\nmin_index = ratings.index(min(ratings))\nfor i in range(min_index + 1, n):\n if ratings[i] > ratings[i - 1]:\n res[i] = res[i - 1] + 1\n else:\n j = i\n while ratings[j] < ratings[j - 1]:\n res[j - 1] = max(res[j - 1], res[j] + 1)\n ... | <|body_start_0|>
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[i] > ratings[i - 1]:
res[i] = res[i - 1] + 1
else:
j = i
while ratings[j] < ratings... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_75kplus_train_069841 | 2,881 | no_license | [
{
"docstring": "和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int",
"name": "candy",
"signature": "def candy(self, ratings)"
},
{
"docstring": "先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tmp[i]和tmp[i+1]+1，如果... | 2 | stack_v2_sparse_classes_30k_train_025307 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def candy(self, ratings): 和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int
- def candy3(self, ratings): 先给每个人一个糖，初始化tmp数组为额外糖果。... | 5d3574ccd282d0146c83c286ae28d8baaabd4910 | <|skeleton|>
class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
<|body_0|>
def candy3(self, ratings):
"""先给每个人一个糖，初始化tmp数组为额外糖果。 从左向右遍历，如果i+1分数高，tmp[i+1]=tmp[i]+1。 再从后往前遍历，如果i比i+1分数高，那么比较tm... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def candy(self, ratings):
"""和字节跳动2019春招第一轮笔试第三题基本一样 还是要多刷leetcode 要是笔试做过这个就不拿到题的时候一脸懵逼了Orz :type ratings: List[int] :rtype: int"""
n = len(ratings)
res = [1] * n
min_index = ratings.index(min(ratings))
for i in range(min_index + 1, n):
if ratings[... | the_stack_v2_python_sparse | 135_分发糖果.py | lovehhf/LeetCode | train | 0 | |
1875a85d9c666a213aee953439fe52d961adcdf5 | [
"if root.left:\n self.helper(result, root.left)\nif root.right:\n self.helper(result, root.right)\nresult.append(root.val)",
"result = []\nif not root:\n return result\nself.helper(result, root)\nreturn result"
] | <|body_start_0|>
if root.left:
self.helper(result, root.left)
if root.right:
self.helper(result, root.right)
result.append(root.val)
<|end_body_0|>
<|body_start_1|>
result = []
if not root:
return result
self.helper(result, root)
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def helper(self, result: List[int], root: TreeNode):
"""帮助方法 Args: result: 结果集 root: 根节点"""
<|body_0|>
def post_order_traversal(self, root: TreeNode) -> List[int]:
"""后序遍历 Args: res: 链表 root: 根节点"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_069842 | 1,876 | permissive | [
{
"docstring": "帮助方法 Args: result: 结果集 root: 根节点",
"name": "helper",
"signature": "def helper(self, result: List[int], root: TreeNode)"
},
{
"docstring": "后序遍历 Args: res: 链表 root: 根节点",
"name": "post_order_traversal",
"signature": "def post_order_traversal(self, root: TreeNode) -> List[i... | 2 | stack_v2_sparse_classes_30k_train_033016 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, result: List[int], root: TreeNode): 帮助方法 Args: result: 结果集 root: 根节点
- def post_order_traversal(self, root: TreeNode) -> List[int]: 后序遍历 Args: res: 链表 root: 根节点 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, result: List[int], root: TreeNode): 帮助方法 Args: result: 结果集 root: 根节点
- def post_order_traversal(self, root: TreeNode) -> List[int]: 后序遍历 Args: res: 链表 root: 根节点
... | 50f35eef6a0ad63173efed10df3c835b1dceaa3f | <|skeleton|>
class Solution:
def helper(self, result: List[int], root: TreeNode):
"""帮助方法 Args: result: 结果集 root: 根节点"""
<|body_0|>
def post_order_traversal(self, root: TreeNode) -> List[int]:
"""后序遍历 Args: res: 链表 root: 根节点"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def helper(self, result: List[int], root: TreeNode):
"""帮助方法 Args: result: 结果集 root: 根节点"""
if root.left:
self.helper(result, root.left)
if root.right:
self.helper(result, root.right)
result.append(root.val)
def post_order_traversal(self, ... | the_stack_v2_python_sparse | src/leetcodepython/tree/postorder_traversal_145.py | zhangyu345293721/leetcode | train | 101 | |
4338349006b59381947f257b5f76d6141117adaa | [
"self.first_winter = {'u': Dataset(first_winter_u_name), 't': Dataset(first_winter_t_name)}\nn_days = len(self.first_winter['u']['time'][:].data)\nself.start_day = n_days - self.DAYS_BEFORE_START_DAY\nself.second_winter = {'u': Dataset(second_winter_u_name), 't': Dataset(second_winter_t_name)}",
"winter = self.ge... | <|body_start_0|>
self.first_winter = {'u': Dataset(first_winter_u_name), 't': Dataset(first_winter_t_name)}
n_days = len(self.first_winter['u']['time'][:].data)
self.start_day = n_days - self.DAYS_BEFORE_START_DAY
self.second_winter = {'u': Dataset(second_winter_u_name), 't': Dataset(sec... | A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter. | PreprocessorReal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PreprocessorReal:
"""A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter."""
def __init__(self, first_winter_u_name, second_winter_u_name, first_winter_t_name, second_winter_t_name):
... | stack_v2_sparse_classes_75kplus_train_069843 | 9,018 | no_license | [
{
"docstring": "Initializer for PreprocessorReal class. As we have separate files for each input feature, we need to specify a different file name for each feature and year. :param first_winter_u_name: The path of the .nc file of the first winter's wind (u component) :param second_winter_u_name: The path of the... | 6 | stack_v2_sparse_classes_30k_train_037132 | Implement the Python class `PreprocessorReal` described below.
Class description:
A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter.
Method signatures and docstrings:
- def __init__(self, first_winter_u_name, secon... | Implement the Python class `PreprocessorReal` described below.
Class description:
A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter.
Method signatures and docstrings:
- def __init__(self, first_winter_u_name, secon... | d7e42676b64d177ded11d4731e11130c129d477b | <|skeleton|>
class PreprocessorReal:
"""A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter."""
def __init__(self, first_winter_u_name, second_winter_u_name, first_winter_t_name, second_winter_t_name):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PreprocessorReal:
"""A class to preprocess the real data from the JRA-55 dataset. It takes two years from the dataset and returns the variables of interest for a whole winter."""
def __init__(self, first_winter_u_name, second_winter_u_name, first_winter_t_name, second_winter_t_name):
"""Initializ... | the_stack_v2_python_sparse | code/preprocessing/preprocessor_real.py | mcbuehler/ssw-prediction | train | 1 |
bd2bd6913d3f04184a9419673d2fb8679b662072 | [
"super(ServerSelectionFrame, self).__init__(parent)\nself.parent = parent\nTkinter.Label(self, text='Nickname:').grid(row=0, column=0)\nTkinter.Label(self, text='Servers:').grid(row=1, column=0)\nself.nickname_input = Tkinter.Entry(self, width=10)\nself.nickname_input.grid(row=0, column=1)\nself.servers_listbox = T... | <|body_start_0|>
super(ServerSelectionFrame, self).__init__(parent)
self.parent = parent
Tkinter.Label(self, text='Nickname:').grid(row=0, column=0)
Tkinter.Label(self, text='Servers:').grid(row=1, column=0)
self.nickname_input = Tkinter.Entry(self, width=10)
self.nicknam... | ServerSelectionFrame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ServerSelectionFrame:
def __init__(self, parent):
"""Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWindow):"""
<|body_0|>
def toggle_join_button(self, event=None):
"""Disable/enable the join_... | stack_v2_sparse_classes_75kplus_train_069844 | 30,750 | no_license | [
{
"docstring": "Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWindow):",
"name": "__init__",
"signature": "def __init__(self, parent)"
},
{
"docstring": "Disable/enable the join_button",
"name": "toggle_join_button",... | 4 | stack_v2_sparse_classes_30k_train_028759 | Implement the Python class `ServerSelectionFrame` described below.
Class description:
Implement the ServerSelectionFrame class.
Method signatures and docstrings:
- def __init__(self, parent): Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWind... | Implement the Python class `ServerSelectionFrame` described below.
Class description:
Implement the ServerSelectionFrame class.
Method signatures and docstrings:
- def __init__(self, parent): Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWind... | e3a24f7449f8449c6d462cee13b135407d343608 | <|skeleton|>
class ServerSelectionFrame:
def __init__(self, parent):
"""Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWindow):"""
<|body_0|>
def toggle_join_button(self, event=None):
"""Disable/enable the join_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ServerSelectionFrame:
def __init__(self, parent):
"""Displays a list of available game servers. Allows to choose the nickname and join selected game server. Args: parent (RootWindow):"""
super(ServerSelectionFrame, self).__init__(parent)
self.parent = parent
Tkinter.Label(self,... | the_stack_v2_python_sparse | src/client/gui.py | markus93/DSHomework2 | train | 0 | |
4e3e9e8730cfd84c5ebcbb0e960f2edca827b38f | [
"super(STNLICls, self).__init__()\nself.enc = StarTransEnc(embed=embed, hidden_size=hidden_size, num_layers=num_layers, num_head=num_head, head_dim=head_dim, max_len=max_len, emb_dropout=emb_dropout, dropout=dropout)\nself.cls = _NLICls(hidden_size, num_cls, cls_hidden_size)",
"mask1 = seq_len_to_mask(seq_len1)\n... | <|body_start_0|>
super(STNLICls, self).__init__()
self.enc = StarTransEnc(embed=embed, hidden_size=hidden_size, num_layers=num_layers, num_head=num_head, head_dim=head_dim, max_len=max_len, emb_dropout=emb_dropout, dropout=dropout)
self.cls = _NLICls(hidden_size, num_cls, cls_hidden_size)
<|end_... | 用于自然语言推断(NLI)的Star-Transformer | STNLICls | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class STNLICls:
"""用于自然语言推断(NLI)的Star-Transformer"""
def __init__(self, embed, num_cls, hidden_size=300, num_layers=4, num_head=8, head_dim=32, max_len=512, cls_hidden_size=600, emb_dropout=0.1, dropout=0.1):
""":param embed: 单词词典, 可以是 tuple, 包括(num_embedings, embedding_dim), 即 embedding的大... | stack_v2_sparse_classes_75kplus_train_069845 | 11,601 | permissive | [
{
"docstring": ":param embed: 单词词典, 可以是 tuple, 包括(num_embedings, embedding_dim), 即 embedding的大小和每个词的维度. 也可以传入 nn.Embedding 对象, 此时就以传入的对象作为embedding :param num_cls: 输出类别个数 :param hidden_size: 模型中特征维度. Default: 300 :param num_layers: 模型层数. Default: 4 :param num_head: 模型中multi-head的head个数. Default: 8 :param head_d... | 3 | stack_v2_sparse_classes_30k_train_046073 | Implement the Python class `STNLICls` described below.
Class description:
用于自然语言推断(NLI)的Star-Transformer
Method signatures and docstrings:
- def __init__(self, embed, num_cls, hidden_size=300, num_layers=4, num_head=8, head_dim=32, max_len=512, cls_hidden_size=600, emb_dropout=0.1, dropout=0.1): :param embed: 单词词典, 可... | Implement the Python class `STNLICls` described below.
Class description:
用于自然语言推断(NLI)的Star-Transformer
Method signatures and docstrings:
- def __init__(self, embed, num_cls, hidden_size=300, num_layers=4, num_head=8, head_dim=32, max_len=512, cls_hidden_size=600, emb_dropout=0.1, dropout=0.1): :param embed: 单词词典, 可... | dffc7a06cdbff2671a3ca73d2398159d91a4a7db | <|skeleton|>
class STNLICls:
"""用于自然语言推断(NLI)的Star-Transformer"""
def __init__(self, embed, num_cls, hidden_size=300, num_layers=4, num_head=8, head_dim=32, max_len=512, cls_hidden_size=600, emb_dropout=0.1, dropout=0.1):
""":param embed: 单词词典, 可以是 tuple, 包括(num_embedings, embedding_dim), 即 embedding的大... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class STNLICls:
"""用于自然语言推断(NLI)的Star-Transformer"""
def __init__(self, embed, num_cls, hidden_size=300, num_layers=4, num_head=8, head_dim=32, max_len=512, cls_hidden_size=600, emb_dropout=0.1, dropout=0.1):
""":param embed: 单词词典, 可以是 tuple, 包括(num_embedings, embedding_dim), 即 embedding的大小和每个词的维度. 也可以... | the_stack_v2_python_sparse | phenobert/utils/fastNLP/models/star_transformer.py | TianlabTech/PhenoBERT | train | 2 |
d8aea79de87230b003b9173741bd87b8af94eef2 | [
"book = xlrd.open_workbook(filepath)\ntable = book.sheet_by_name('任保玉')\nrow_Num = table.nrows\ncol_Num = table.ncols\ns = []\nkey = table.row_values(0)\nif row_Num <= 1:\n print('没数据')\nelse:\n j = 1\n for i in range(row_Num - 1):\n d = {}\n values = table.row_values(j)\n for x in ran... | <|body_start_0|>
book = xlrd.open_workbook(filepath)
table = book.sheet_by_name('任保玉')
row_Num = table.nrows
col_Num = table.ncols
s = []
key = table.row_values(0)
if row_Num <= 1:
print('没数据')
else:
j = 1
for i in range... | ExcelGroup | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExcelGroup:
def readExcel(filepath):
"""打开excel表，读取数据并转换成数组对象"""
<|body_0|>
def merge_dict(detail_list):
"""根据手机号分组数据"""
<|body_1|>
def writeText(filePath, groupList):
"""把数据写入txt文件"""
<|body_2|>
def readText(filePath):
"""读取... | stack_v2_sparse_classes_75kplus_train_069846 | 2,496 | no_license | [
{
"docstring": "打开excel表，读取数据并转换成数组对象",
"name": "readExcel",
"signature": "def readExcel(filepath)"
},
{
"docstring": "根据手机号分组数据",
"name": "merge_dict",
"signature": "def merge_dict(detail_list)"
},
{
"docstring": "把数据写入txt文件",
"name": "writeText",
"signature": "def write... | 4 | stack_v2_sparse_classes_30k_test_000644 | Implement the Python class `ExcelGroup` described below.
Class description:
Implement the ExcelGroup class.
Method signatures and docstrings:
- def readExcel(filepath): 打开excel表，读取数据并转换成数组对象
- def merge_dict(detail_list): 根据手机号分组数据
- def writeText(filePath, groupList): 把数据写入txt文件
- def readText(filePath): 读取txt文件内的数据 | Implement the Python class `ExcelGroup` described below.
Class description:
Implement the ExcelGroup class.
Method signatures and docstrings:
- def readExcel(filepath): 打开excel表，读取数据并转换成数组对象
- def merge_dict(detail_list): 根据手机号分组数据
- def writeText(filePath, groupList): 把数据写入txt文件
- def readText(filePath): 读取txt文件内的数据... | 069a895f2b98d3dc817be9eca74009f6bd668fbd | <|skeleton|>
class ExcelGroup:
def readExcel(filepath):
"""打开excel表，读取数据并转换成数组对象"""
<|body_0|>
def merge_dict(detail_list):
"""根据手机号分组数据"""
<|body_1|>
def writeText(filePath, groupList):
"""把数据写入txt文件"""
<|body_2|>
def readText(filePath):
"""读取... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExcelGroup:
def readExcel(filepath):
"""打开excel表，读取数据并转换成数组对象"""
book = xlrd.open_workbook(filepath)
table = book.sheet_by_name('任保玉')
row_Num = table.nrows
col_Num = table.ncols
s = []
key = table.row_values(0)
if row_Num <= 1:
print... | the_stack_v2_python_sparse | yunkufang/ykf_houTai/excel_group.py | lqrby/zhongfuan | train | 0 | |
90f428307e171c6d8fd2dd07b7e3f5e62735fd0c | [
"super(TeardownSession, self).__init__(*args, **kwargs)\nself.tools = tools\nreturn",
"for tool in self.tools:\n tool.run()\nreturn"
] | <|body_start_0|>
super(TeardownSession, self).__init__(*args, **kwargs)
self.tools = tools
return
<|end_body_0|>
<|body_start_1|>
for tool in self.tools:
tool.run()
return
<|end_body_1|>
| The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm. | TeardownSession | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeardownSession:
"""The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm."""
def __init__(self, tools, *ar... | stack_v2_sparse_classes_75kplus_train_069847 | 780 | permissive | [
{
"docstring": ":param: - `tools`: a list of tools to run",
"name": "__init__",
"signature": "def __init__(self, tools, *args, **kwargs)"
},
{
"docstring": "Calls the run() method for each tool in `tools`",
"name": "run",
"signature": "def run(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013619 | Implement the Python class `TeardownSession` described below.
Class description:
The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm... | Implement the Python class `TeardownSession` described below.
Class description:
The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm... | b4d1c77e1d611fe2b30768b42bdc7493afb0ea95 | <|skeleton|>
class TeardownSession:
"""The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm."""
def __init__(self, tools, *ar... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TeardownSession:
"""The TearDown does whatever needs to be done after the test is completed. It iterates over the `tools` passed in to the constructor. Each tool's `run` method is called. Choosing tools and ordering them defines the TeardownSession algorithm."""
def __init__(self, tools, *args, **kwargs)... | the_stack_v2_python_sparse | apetools/proletarians/teardown.py | russell-n/oldape | train | 0 |
91fcc26b519fc8fd45c43378fdfd4e1266d5f252 | [
"exam_rec = self.env['exam.exam'].search([('standard_id', '=', standard_id.id), ('academic_year', '=', year.id), ('state', '=', 'finished')])\nexam_result_rec = []\nexam_result_pass_rec = []\nexam_result_fail_rec = []\nresult_obj = self.env['exam.result']\nfor rec in exam_rec:\n exam_result_rec += result_obj.sea... | <|body_start_0|>
exam_rec = self.env['exam.exam'].search([('standard_id', '=', standard_id.id), ('academic_year', '=', year.id), ('state', '=', 'finished')])
exam_result_rec = []
exam_result_pass_rec = []
exam_result_fail_rec = []
result_obj = self.env['exam.result']
for ... | BatchExamReport | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchExamReport:
def pass_student(self, year, standard_id):
"""Method to determine students who pass the exam"""
<|body_0|>
def _get_report_values(self, docids, data=None):
"""Inherited method to get report values."""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_069848 | 2,447 | no_license | [
{
"docstring": "Method to determine students who pass the exam",
"name": "pass_student",
"signature": "def pass_student(self, year, standard_id)"
},
{
"docstring": "Inherited method to get report values.",
"name": "_get_report_values",
"signature": "def _get_report_values(self, docids, d... | 2 | null | Implement the Python class `BatchExamReport` described below.
Class description:
Implement the BatchExamReport class.
Method signatures and docstrings:
- def pass_student(self, year, standard_id): Method to determine students who pass the exam
- def _get_report_values(self, docids, data=None): Inherited method to get... | Implement the Python class `BatchExamReport` described below.
Class description:
Implement the BatchExamReport class.
Method signatures and docstrings:
- def pass_student(self, year, standard_id): Method to determine students who pass the exam
- def _get_report_values(self, docids, data=None): Inherited method to get... | 6a9793f3a15da9eed40bf840b1d9a46457c5fd55 | <|skeleton|>
class BatchExamReport:
def pass_student(self, year, standard_id):
"""Method to determine students who pass the exam"""
<|body_0|>
def _get_report_values(self, docids, data=None):
"""Inherited method to get report values."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BatchExamReport:
def pass_student(self, year, standard_id):
"""Method to determine students who pass the exam"""
exam_rec = self.env['exam.exam'].search([('standard_id', '=', standard_id.id), ('academic_year', '=', year.id), ('state', '=', 'finished')])
exam_result_rec = []
exa... | the_stack_v2_python_sparse | exam/report/batch_result_report.py | JayVora-SerpentCS/OdooEduERP | train | 121 | |
2b5ed1a748aa4327a799be699fdc7ce8fc350a7a | [
"self.plugins = []\nself.plugin_class = plugin_class\nself.plugin_package = plugin_package\nself.reload_plugins()\nself._disable = False",
"self.plugins = []\nself.seen_paths = []\nself.walk_package(self.plugin_package)",
"if not isinstance(disable, bool):\n return\nself._disable = disable\nif self._disable:... | <|body_start_0|>
self.plugins = []
self.plugin_class = plugin_class
self.plugin_package = plugin_package
self.reload_plugins()
self._disable = False
<|end_body_0|>
<|body_start_1|>
self.plugins = []
self.seen_paths = []
self.walk_package(self.plugin_packa... | Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class | PluginCollection | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PluginCollection:
"""Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class"""
def __init__(self, plugin_package, plugin_class):
"""Constructor that initiates the reading of all available plugins whe... | stack_v2_sparse_classes_75kplus_train_069849 | 3,369 | permissive | [
{
"docstring": "Constructor that initiates the reading of all available plugins when an instance of the PluginCollection object is created",
"name": "__init__",
"signature": "def __init__(self, plugin_package, plugin_class)"
},
{
"docstring": "Reset the list of all plugins and initiate the walk ... | 4 | stack_v2_sparse_classes_30k_train_012805 | Implement the Python class `PluginCollection` described below.
Class description:
Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class
Method signatures and docstrings:
- def __init__(self, plugin_package, plugin_class): Constructo... | Implement the Python class `PluginCollection` described below.
Class description:
Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class
Method signatures and docstrings:
- def __init__(self, plugin_package, plugin_class): Constructo... | 75d029ccecc69dc419474e095c472b576cb920ad | <|skeleton|>
class PluginCollection:
"""Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class"""
def __init__(self, plugin_package, plugin_class):
"""Constructor that initiates the reading of all available plugins whe... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PluginCollection:
"""Upon creation, this class will read the add-ons package for modules that contain a class definition that is inheriting from the given class"""
def __init__(self, plugin_package, plugin_class):
"""Constructor that initiates the reading of all available plugins when an instance... | the_stack_v2_python_sparse | app/libs/plugin_collection.py | Vincannes/TradeFinance | train | 1 |
9d98bef6556da0c0ef934ad3d7a2cc47a0cbbbf4 | [
"json_str = request.body.decode('utf-8')\nif not json_str:\n return api_response(-1, 'post参数为空', {})\nrequest_data_dict = json.loads(json_str)\nworkflow_id = kwargs.get('workflow_id')\napp_name = request.META.get('HTTP_APPNAME')\nusername = request.user.username\nname = request_data_dict.get('name', '')\ntransit... | <|body_start_0|>
json_str = request.body.decode('utf-8')
if not json_str:
return api_response(-1, 'post参数为空', {})
request_data_dict = json.loads(json_str)
workflow_id = kwargs.get('workflow_id')
app_name = request.META.get('HTTP_APPNAME')
username = request.us... | WorkflowTransitionDetailView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WorkflowTransitionDetailView:
def patch(self, request, *args, **kwargs):
"""编辑 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def delete(self, request, *args, **kwargs):
"""删除transition :param request: :param args: :param kwargs: :return:"""
... | stack_v2_sparse_classes_75kplus_train_069850 | 48,278 | permissive | [
{
"docstring": "编辑 :param request: :param args: :param kwargs: :return:",
"name": "patch",
"signature": "def patch(self, request, *args, **kwargs)"
},
{
"docstring": "删除transition :param request: :param args: :param kwargs: :return:",
"name": "delete",
"signature": "def delete(self, requ... | 2 | null | Implement the Python class `WorkflowTransitionDetailView` described below.
Class description:
Implement the WorkflowTransitionDetailView class.
Method signatures and docstrings:
- def patch(self, request, *args, **kwargs): 编辑 :param request: :param args: :param kwargs: :return:
- def delete(self, request, *args, **kw... | Implement the Python class `WorkflowTransitionDetailView` described below.
Class description:
Implement the WorkflowTransitionDetailView class.
Method signatures and docstrings:
- def patch(self, request, *args, **kwargs): 编辑 :param request: :param args: :param kwargs: :return:
- def delete(self, request, *args, **kw... | b0e236b314286c5f6cc6959622c9c8505e776443 | <|skeleton|>
class WorkflowTransitionDetailView:
def patch(self, request, *args, **kwargs):
"""编辑 :param request: :param args: :param kwargs: :return:"""
<|body_0|>
def delete(self, request, *args, **kwargs):
"""删除transition :param request: :param args: :param kwargs: :return:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WorkflowTransitionDetailView:
def patch(self, request, *args, **kwargs):
"""编辑 :param request: :param args: :param kwargs: :return:"""
json_str = request.body.decode('utf-8')
if not json_str:
return api_response(-1, 'post参数为空', {})
request_data_dict = json.loads(jso... | the_stack_v2_python_sparse | apps/workflow/views.py | blackholll/loonflow | train | 1,864 | |
9278ebbc78817cec68dbf3e464603d529cdc78e6 | [
"mat = self.read_file(fname)\nif data == 'all':\n data = ['H', 'IN', 'M']\nelif isinstance(data, str):\n data = [data]\nif 'IN' in data:\n self.IN = {}\n self.read_in(mat)\nif 'H' in data:\n self.H = {}\n self.read_h(mat)\nif 'M' in data:\n self.M = {}\n self.read_m(mat)\ndel mat",
"if not... | <|body_start_0|>
mat = self.read_file(fname)
if data == 'all':
data = ['H', 'IN', 'M']
elif isinstance(data, str):
data = [data]
if 'IN' in data:
self.IN = {}
self.read_in(mat)
if 'H' in data:
self.H = {}
sel... | MenyData | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MenyData:
def __init__(self, fname, data='all'):
"""This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file."""
<|body_0|>
def read_file(fname):
"""This method is used to read the file."""
<|... | stack_v2_sparse_classes_75kplus_train_069851 | 7,277 | permissive | [
{
"docstring": "This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file.",
"name": "__init__",
"signature": "def __init__(self, fname, data='all')"
},
{
"docstring": "This method is used to read the file.",
"name": "read_fil... | 5 | null | Implement the Python class `MenyData` described below.
Class description:
Implement the MenyData class.
Method signatures and docstrings:
- def __init__(self, fname, data='all'): This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file.
- def read_fil... | Implement the Python class `MenyData` described below.
Class description:
Implement the MenyData class.
Method signatures and docstrings:
- def __init__(self, fname, data='all'): This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file.
- def read_fil... | 5665170b4b211d896b13f6e03afd1140ed1a1415 | <|skeleton|>
class MenyData:
def __init__(self, fname, data='all'):
"""This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file."""
<|body_0|>
def read_file(fname):
"""This method is used to read the file."""
<|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MenyData:
def __init__(self, fname, data='all'):
"""This class reads a menyanthes file. Parameters ---------- fname: str String with the filename and path to a menyanthes file."""
mat = self.read_file(fname)
if data == 'all':
data = ['H', 'IN', 'M']
elif isinstance(... | the_stack_v2_python_sparse | pastas/read/menyanthes.py | EitvanderMeulen/pastas | train | 2 | |
0e5a14d238bc7cc34fd3aad87fc634e42a176871 | [
"super(WordDatatype_iter_with_caching, self).__init__(parent, iter, length)\nself._data, self._gen = itertools.tee(self._data)\nself._list = []\nself._last_index = -1",
"for a in self._list:\n yield a\nfor a in self._gen:\n self._list.append(a)\n self._last_index += 1\n yield a\nif self._len is None:\... | <|body_start_0|>
super(WordDatatype_iter_with_caching, self).__init__(parent, iter, length)
self._data, self._gen = itertools.tee(self._data)
self._list = []
self._last_index = -1
<|end_body_0|>
<|body_start_1|>
for a in self._list:
yield a
for a in self._gen... | WordDatatype_iter_with_caching | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordDatatype_iter_with_caching:
def __init__(self, parent, iter, length=None):
"""INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None``) the length of the word EXAMPLES:: sage: import itertools sage: Word(itertools.cycle("abbabaab")) word: abbabaababba... | stack_v2_sparse_classes_75kplus_train_069852 | 39,600 | no_license | [
{
"docstring": "INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None``) the length of the word EXAMPLES:: sage: import itertools sage: Word(itertools.cycle(\"abbabaab\")) word: abbabaababbabaababbabaababbabaababbabaab... sage: w = Word(iter(\"abbabaab\"), length=\"finite\"); w... | 5 | stack_v2_sparse_classes_30k_train_008906 | Implement the Python class `WordDatatype_iter_with_caching` described below.
Class description:
Implement the WordDatatype_iter_with_caching class.
Method signatures and docstrings:
- def __init__(self, parent, iter, length=None): INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None... | Implement the Python class `WordDatatype_iter_with_caching` described below.
Class description:
Implement the WordDatatype_iter_with_caching class.
Method signatures and docstrings:
- def __init__(self, parent, iter, length=None): INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class WordDatatype_iter_with_caching:
def __init__(self, parent, iter, length=None):
"""INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None``) the length of the word EXAMPLES:: sage: import itertools sage: Word(itertools.cycle("abbabaab")) word: abbabaababba... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WordDatatype_iter_with_caching:
def __init__(self, parent, iter, length=None):
"""INPUT: - ``parent`` - a parent - ``iter`` - an iterator - ``length`` - (default: ``None``) the length of the word EXAMPLES:: sage: import itertools sage: Word(itertools.cycle("abbabaab")) word: abbabaababbabaababbabaabab... | the_stack_v2_python_sparse | sage/src/sage/combinat/words/word_infinite_datatypes.py | bopopescu/geosci | train | 0 | |
76d0a13df09e50012a3f63d8e8a9c83f89d58a48 | [
"try:\n self.title = data['Title']\n self.actors = data['Actors'].split(',')\n self.plot = data['Plot']\nexcept Exception as ex:\n print('Error: ', ex)",
"print('Movie name: ' + self.title)\nprint('Name of the actors: ' + ', '.join(self.actors))\nprint('The plot: ' + self.plot)"
] | <|body_start_0|>
try:
self.title = data['Title']
self.actors = data['Actors'].split(',')
self.plot = data['Plot']
except Exception as ex:
print('Error: ', ex)
<|end_body_0|>
<|body_start_1|>
print('Movie name: ' + self.title)
print('Name o... | Stores information about a movie. | MovieData | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MovieData:
"""Stores information about a movie."""
def __init__(self, data):
"""Initialize the class with a movie data dictionary."""
<|body_0|>
def print_data(self):
"""Prints the movie information."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_069853 | 1,449 | permissive | [
{
"docstring": "Initialize the class with a movie data dictionary.",
"name": "__init__",
"signature": "def __init__(self, data)"
},
{
"docstring": "Prints the movie information.",
"name": "print_data",
"signature": "def print_data(self)"
}
] | 2 | null | Implement the Python class `MovieData` described below.
Class description:
Stores information about a movie.
Method signatures and docstrings:
- def __init__(self, data): Initialize the class with a movie data dictionary.
- def print_data(self): Prints the movie information. | Implement the Python class `MovieData` described below.
Class description:
Stores information about a movie.
Method signatures and docstrings:
- def __init__(self, data): Initialize the class with a movie data dictionary.
- def print_data(self): Prints the movie information.
<|skeleton|>
class MovieData:
"""Stor... | 1d650e49950d1987d052028139fcdfcb0bbfcc70 | <|skeleton|>
class MovieData:
"""Stores information about a movie."""
def __init__(self, data):
"""Initialize the class with a movie data dictionary."""
<|body_0|>
def print_data(self):
"""Prints the movie information."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MovieData:
"""Stores information about a movie."""
def __init__(self, data):
"""Initialize the class with a movie data dictionary."""
try:
self.title = data['Title']
self.actors = data['Actors'].split(',')
self.plot = data['Plot']
except Excepti... | the_stack_v2_python_sparse | 03_Classes/movie_data.py | Rockfish/PythonCourse | train | 0 |
f034d9cf11b174c80b6d9838085cd13788a88a17 | [
"index_size, num_examples, batch_size = (32, 24, 8)\nindex = [{'hashed_id': str(i)} for i in range(index_size)]\nretriever = _MockEmbeddingBasedRetriever(index, batch_size=batch_size)\nexamples = [{'hashed_id': str(i)} for i in range(num_examples)]\nresults = list(retriever.retrieve_all(examples))\nself.assertLen(r... | <|body_start_0|>
index_size, num_examples, batch_size = (32, 24, 8)
index = [{'hashed_id': str(i)} for i in range(index_size)]
retriever = _MockEmbeddingBasedRetriever(index, batch_size=batch_size)
examples = [{'hashed_id': str(i)} for i in range(num_examples)]
results = list(ret... | Tests EmbeddingBasedRetriever. | EmbeddingBasedRetrieverTest | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EmbeddingBasedRetrieverTest:
"""Tests EmbeddingBasedRetriever."""
def test_batching_no_remainder(self):
"""Tests if batching does not drop any example."""
<|body_0|>
def test_batching_has_remainder(self):
"""Tests if batching does not drop any example."""
... | stack_v2_sparse_classes_75kplus_train_069854 | 7,300 | permissive | [
{
"docstring": "Tests if batching does not drop any example.",
"name": "test_batching_no_remainder",
"signature": "def test_batching_no_remainder(self)"
},
{
"docstring": "Tests if batching does not drop any example.",
"name": "test_batching_has_remainder",
"signature": "def test_batchin... | 2 | stack_v2_sparse_classes_30k_train_001386 | Implement the Python class `EmbeddingBasedRetrieverTest` described below.
Class description:
Tests EmbeddingBasedRetriever.
Method signatures and docstrings:
- def test_batching_no_remainder(self): Tests if batching does not drop any example.
- def test_batching_has_remainder(self): Tests if batching does not drop an... | Implement the Python class `EmbeddingBasedRetrieverTest` described below.
Class description:
Tests EmbeddingBasedRetriever.
Method signatures and docstrings:
- def test_batching_no_remainder(self): Tests if batching does not drop any example.
- def test_batching_has_remainder(self): Tests if batching does not drop an... | ac9447064195e06de48cc91ff642f7fffa28ffe8 | <|skeleton|>
class EmbeddingBasedRetrieverTest:
"""Tests EmbeddingBasedRetriever."""
def test_batching_no_remainder(self):
"""Tests if batching does not drop any example."""
<|body_0|>
def test_batching_has_remainder(self):
"""Tests if batching does not drop any example."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EmbeddingBasedRetrieverTest:
"""Tests EmbeddingBasedRetriever."""
def test_batching_no_remainder(self):
"""Tests if batching does not drop any example."""
index_size, num_examples, batch_size = (32, 24, 8)
index = [{'hashed_id': str(i)} for i in range(index_size)]
retrieve... | the_stack_v2_python_sparse | language/casper/retrieve/query_retrievers_test.py | google-research/language | train | 1,567 |
b2aaabb7f50141c641bfe37c688ef0453cb27676 | [
"lo = 0\nhi = len(nums) - 1\nk = 0\nwhile k <= hi:\n print(k, lo, hi)\n if nums[k] == 0:\n nums[lo], nums[k] = (nums[k], nums[lo])\n k += 1\n lo += 1\n elif nums[k] == 2:\n nums[hi], nums[k] = (nums[k], nums[hi])\n hi -= 1\n else:\n k += 1",
"count = [0] * 3\n... | <|body_start_0|>
lo = 0
hi = len(nums) - 1
k = 0
while k <= hi:
print(k, lo, hi)
if nums[k] == 0:
nums[lo], nums[k] = (nums[k], nums[lo])
k += 1
lo += 1
elif nums[k] == 2:
nums[hi], nums[k... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def sortColors(self, nums):
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors_2(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_1|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_75kplus_train_069855 | 1,154 | no_license | [
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "sortColors",
"signature": "def sortColors(self, nums)"
},
{
"docstring": "Do not return anything, modify nums in-place instead.",
"name": "sortColors_2",
"signature": "def sortColors_2(self, nums: List[int])... | 2 | stack_v2_sparse_classes_30k_train_041060 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums): Do not return anything, modify nums in-place instead.
- def sortColors_2(self, nums: List[int]) -> None: Do not return anything, modify nums in-place ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def sortColors(self, nums): Do not return anything, modify nums in-place instead.
- def sortColors_2(self, nums: List[int]) -> None: Do not return anything, modify nums in-place ... | 20a48021be5e5348d681e910c843e734df98b596 | <|skeleton|>
class Solution:
def sortColors(self, nums):
"""Do not return anything, modify nums in-place instead."""
<|body_0|>
def sortColors_2(self, nums: List[int]) -> None:
"""Do not return anything, modify nums in-place instead."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def sortColors(self, nums):
"""Do not return anything, modify nums in-place instead."""
lo = 0
hi = len(nums) - 1
k = 0
while k <= hi:
print(k, lo, hi)
if nums[k] == 0:
nums[lo], nums[k] = (nums[k], nums[lo])
... | the_stack_v2_python_sparse | sort_colors/sort_colors.py | narnat/leetcode | train | 0 | |
d875cd8a89ee40608fe99b35121796a26f34229d | [
"self.database_copy_info_list = database_copy_info_list\nself.guid = guid\nself.name = name",
"if dictionary is None:\n return None\ndatabase_copy_info_list = None\nif dictionary.get('databaseCopyInfoList') != None:\n database_copy_info_list = list()\n for structure in dictionary.get('databaseCopyInfoLis... | <|body_start_0|>
self.database_copy_info_list = database_copy_info_list
self.guid = guid
self.name = name
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
database_copy_info_list = None
if dictionary.get('databaseCopyInfoList') != None:
... | Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the copies of this DAG database. This include active and passive copy of the database. guid (... | ExchangeDAGDatabase | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExchangeDAGDatabase:
"""Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the copies of this DAG database. This include ... | stack_v2_sparse_classes_75kplus_train_069856 | 2,372 | permissive | [
{
"docstring": "Constructor for the ExchangeDAGDatabase class",
"name": "__init__",
"signature": "def __init__(self, database_copy_info_list=None, guid=None, name=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representat... | 2 | stack_v2_sparse_classes_30k_train_023582 | Implement the Python class `ExchangeDAGDatabase` described below.
Class description:
Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the cop... | Implement the Python class `ExchangeDAGDatabase` described below.
Class description:
Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the cop... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class ExchangeDAGDatabase:
"""Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the copies of this DAG database. This include ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExchangeDAGDatabase:
"""Implementation of the 'ExchangeDAGDatabase' model. Specifies the information about all the copies of the database that is part of DAG. Attributes: database_copy_info_list (list of ExchangeDatabaseCopyInfo): Specifies about all the copies of this DAG database. This include active and pa... | the_stack_v2_python_sparse | cohesity_management_sdk/models/exchange_dag_database.py | cohesity/management-sdk-python | train | 24 |
38e4bb009f7725220c811a6ef9dac6177a719701 | [
"with open(os.path.join(settings.BASE_DIR, 'reviews/templates/reviews/instance-form.html')) as tf:\n template_content = tf.read()\n self.assertIn('{% load crispy_forms_tags %', template_content)\n self.assertIn('{% crispy form %}', template_content)\n self.assertNotIn('<form', template_content)\n sel... | <|body_start_0|>
with open(os.path.join(settings.BASE_DIR, 'reviews/templates/reviews/instance-form.html')) as tf:
template_content = tf.read()
self.assertIn('{% load crispy_forms_tags %', template_content)
self.assertIn('{% crispy form %}', template_content)
self... | Activity1Test | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Activity1Test:
def test_crispy_form_used_in_template(self):
"""Test that the {% crispy %} template tag is being used to render the form in search-results.html"""
<|body_0|>
def test_form_helper(self):
"""Test that InstanceForm has a helper with a submit button, the b... | stack_v2_sparse_classes_75kplus_train_069857 | 2,621 | permissive | [
{
"docstring": "Test that the {% crispy %} template tag is being used to render the form in search-results.html",
"name": "test_crispy_form_used_in_template",
"signature": "def test_crispy_form_used_in_template(self)"
},
{
"docstring": "Test that InstanceForm has a helper with a submit button, t... | 3 | stack_v2_sparse_classes_30k_train_044224 | Implement the Python class `Activity1Test` described below.
Class description:
Implement the Activity1Test class.
Method signatures and docstrings:
- def test_crispy_form_used_in_template(self): Test that the {% crispy %} template tag is being used to render the form in search-results.html
- def test_form_helper(self... | Implement the Python class `Activity1Test` described below.
Class description:
Implement the Activity1Test class.
Method signatures and docstrings:
- def test_crispy_form_used_in_template(self): Test that the {% crispy %} template tag is being used to render the form in search-results.html
- def test_form_helper(self... | 52e86a8f93cb38bf70d50e9b8d2c6d7dac416f62 | <|skeleton|>
class Activity1Test:
def test_crispy_form_used_in_template(self):
"""Test that the {% crispy %} template tag is being used to render the form in search-results.html"""
<|body_0|>
def test_form_helper(self):
"""Test that InstanceForm has a helper with a submit button, the b... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Activity1Test:
def test_crispy_form_used_in_template(self):
"""Test that the {% crispy %} template tag is being used to render the form in search-results.html"""
with open(os.path.join(settings.BASE_DIR, 'reviews/templates/reviews/instance-form.html')) as tf:
template_content = tf.... | the_stack_v2_python_sparse | Chapter15/final/bookr/reviews/tests.py | lmoshood/The-Django-Workshop | train | 0 | |
ec324da2547780e56e7fecc13d371667b7e91bf0 | [
"super().handle_input(data_type)\npath = os.path.join(self.artifact.uri, DEFAULT_FILENAME)\nreturn tf.data.experimental.load(path)",
"super().handle_return(dataset)\npath = os.path.join(self.artifact.uri, DEFAULT_FILENAME)\ntf.data.experimental.save(dataset, path, compression=None, shard_func=None)"
] | <|body_start_0|>
super().handle_input(data_type)
path = os.path.join(self.artifact.uri, DEFAULT_FILENAME)
return tf.data.experimental.load(path)
<|end_body_0|>
<|body_start_1|>
super().handle_return(dataset)
path = os.path.join(self.artifact.uri, DEFAULT_FILENAME)
tf.dat... | Materializer to read data to and from beam. | TensorflowDatasetMaterializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TensorflowDatasetMaterializer:
"""Materializer to read data to and from beam."""
def handle_input(self, data_type: Type[Any]) -> Any:
"""Reads data into tf.data.Dataset"""
<|body_0|>
def handle_return(self, dataset: tf.data.Dataset) -> None:
"""Persists a tf.data... | stack_v2_sparse_classes_75kplus_train_069858 | 1,509 | permissive | [
{
"docstring": "Reads data into tf.data.Dataset",
"name": "handle_input",
"signature": "def handle_input(self, data_type: Type[Any]) -> Any"
},
{
"docstring": "Persists a tf.data.Dataset object.",
"name": "handle_return",
"signature": "def handle_return(self, dataset: tf.data.Dataset) ->... | 2 | null | Implement the Python class `TensorflowDatasetMaterializer` described below.
Class description:
Materializer to read data to and from beam.
Method signatures and docstrings:
- def handle_input(self, data_type: Type[Any]) -> Any: Reads data into tf.data.Dataset
- def handle_return(self, dataset: tf.data.Dataset) -> Non... | Implement the Python class `TensorflowDatasetMaterializer` described below.
Class description:
Materializer to read data to and from beam.
Method signatures and docstrings:
- def handle_input(self, data_type: Type[Any]) -> Any: Reads data into tf.data.Dataset
- def handle_return(self, dataset: tf.data.Dataset) -> Non... | f1499e9c3fee00fd1d66de14cab66c4472c0085d | <|skeleton|>
class TensorflowDatasetMaterializer:
"""Materializer to read data to and from beam."""
def handle_input(self, data_type: Type[Any]) -> Any:
"""Reads data into tf.data.Dataset"""
<|body_0|>
def handle_return(self, dataset: tf.data.Dataset) -> None:
"""Persists a tf.data... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TensorflowDatasetMaterializer:
"""Materializer to read data to and from beam."""
def handle_input(self, data_type: Type[Any]) -> Any:
"""Reads data into tf.data.Dataset"""
super().handle_input(data_type)
path = os.path.join(self.artifact.uri, DEFAULT_FILENAME)
return tf.da... | the_stack_v2_python_sparse | src/zenml/integrations/tensorflow/materializers/tf_dataset_materializer.py | stefannica/zenml | train | 0 |
7cd3e8f61b99ef9e8e8232a33358bfd1f2a463b9 | [
"a = min(nums)\nres = 0\nfor i in range(len(nums)):\n cur = nums[i] - a\n res += cur\nreturn res",
"nums.sort()\nres = 0\nfor i in range(len(nums)):\n cur = nums[i] - nums[0]\n res += cur\nreturn res",
"nums.sort()\nres = 0\nlast_cur = 0\ncur_sum = 0\ni_max = len(nums) - 1\ni = 0\nwhile True:\n i... | <|body_start_0|>
a = min(nums)
res = 0
for i in range(len(nums)):
cur = nums[i] - a
res += cur
return res
<|end_body_0|>
<|body_start_1|>
nums.sort()
res = 0
for i in range(len(nums)):
cur = nums[i] - nums[0]
res +=... | Ex453 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ex453:
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def minMoves(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus_train_069859 | 1,375 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "minMoves0",
"signature": "def minMoves0(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int",
"name": "minMoves0",
"signature": "def minMoves0(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: ... | 3 | stack_v2_sparse_classes_30k_train_025549 | Implement the Python class `Ex453` described below.
Class description:
Implement the Ex453 class.
Method signatures and docstrings:
- def minMoves0(self, nums): :type nums: List[int] :rtype: int
- def minMoves0(self, nums): :type nums: List[int] :rtype: int
- def minMoves(self, nums): :type nums: List[int] :rtype: in... | Implement the Python class `Ex453` described below.
Class description:
Implement the Ex453 class.
Method signatures and docstrings:
- def minMoves0(self, nums): :type nums: List[int] :rtype: int
- def minMoves0(self, nums): :type nums: List[int] :rtype: int
- def minMoves(self, nums): :type nums: List[int] :rtype: in... | 8f9327a1879949f61b462cc6c82e00e7c27b8b07 | <|skeleton|>
class Ex453:
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_0|>
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_1|>
def minMoves(self, nums):
""":type nums: List[int] :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Ex453:
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
a = min(nums)
res = 0
for i in range(len(nums)):
cur = nums[i] - a
res += cur
return res
def minMoves0(self, nums):
""":type nums: List[int] :rtype: int"""
... | the_stack_v2_python_sparse | LeetCode/Ex400/Ex453.py | JasonVann/CrackingCodingInterview | train | 0 | |
92baa7a659351e7b65a740d822cbfd51ae1a6e03 | [
"object = get_object_or_404(CallRegister, pk=id)\nform = CallRegisterForm(instance=object)\ncontext = {'object': object, 'form': form}\nreturn render(request, self.template_name, context)",
"form = CallRegisterForm(request.POST or None)\nif form.is_valid():\n object = get_object_or_404(CallRegister, pk=id)\n ... | <|body_start_0|>
object = get_object_or_404(CallRegister, pk=id)
form = CallRegisterForm(instance=object)
context = {'object': object, 'form': form}
return render(request, self.template_name, context)
<|end_body_0|>
<|body_start_1|>
form = CallRegisterForm(request.POST or None)
... | CallEditView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CallEditView:
def get(self, request, id):
"""Returns single call data from db, appointment_date is passed into form to display as form only."""
<|body_0|>
def post(self, request, id):
"""Overrides all existing details of specific call, similar to call register."""
... | stack_v2_sparse_classes_75kplus_train_069860 | 8,699 | no_license | [
{
"docstring": "Returns single call data from db, appointment_date is passed into form to display as form only.",
"name": "get",
"signature": "def get(self, request, id)"
},
{
"docstring": "Overrides all existing details of specific call, similar to call register.",
"name": "post",
"sign... | 2 | stack_v2_sparse_classes_30k_train_031692 | Implement the Python class `CallEditView` described below.
Class description:
Implement the CallEditView class.
Method signatures and docstrings:
- def get(self, request, id): Returns single call data from db, appointment_date is passed into form to display as form only.
- def post(self, request, id): Overrides all e... | Implement the Python class `CallEditView` described below.
Class description:
Implement the CallEditView class.
Method signatures and docstrings:
- def get(self, request, id): Returns single call data from db, appointment_date is passed into form to display as form only.
- def post(self, request, id): Overrides all e... | bdd7c5ca9f00ce33be31609e5be9c2ccfcd8743a | <|skeleton|>
class CallEditView:
def get(self, request, id):
"""Returns single call data from db, appointment_date is passed into form to display as form only."""
<|body_0|>
def post(self, request, id):
"""Overrides all existing details of specific call, similar to call register."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CallEditView:
def get(self, request, id):
"""Returns single call data from db, appointment_date is passed into form to display as form only."""
object = get_object_or_404(CallRegister, pk=id)
form = CallRegisterForm(instance=object)
context = {'object': object, 'form': form}
... | the_stack_v2_python_sparse | calls/views.py | mrmaheshrajput/htscrm | train | 0 | |
af5ff3636a9d98701999054ea8839c2fd5019561 | [
"if not nums:\n return 0\nn, count = (len(nums), 0)\ndp = [[1] * n for _ in range(n)]\nfor i in range(n - 1, -1, -1):\n for j in range(i, n):\n if i == j:\n dp[i][j] = nums[i]\n else:\n dp[i][j] = dp[i][j - 1] * nums[j]\n if dp[i][j] < k:\n count += 1\nret... | <|body_start_0|>
if not nums:
return 0
n, count = (len(nums), 0)
dp = [[1] * n for _ in range(n)]
for i in range(n - 1, -1, -1):
for j in range(i, n):
if i == j:
dp[i][j] = nums[i]
else:
dp[i]... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int:
"""思路： DP，超时"""
<|body_0|>
def numSubarrayProductLessThanK_window(self, nums: List[int], k: int) -> int:
"""思路：滑动窗口 + 二分法 对于 每个 right， nums[left], nums[left + 1], nums[left +2] ... nu... | stack_v2_sparse_classes_75kplus_train_069861 | 1,955 | no_license | [
{
"docstring": "思路： DP，超时",
"name": "numSubarrayProductLessThanK_dp",
"signature": "def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int"
},
{
"docstring": "思路：滑动窗口 + 二分法 对于 每个 right， nums[left], nums[left + 1], nums[left +2] ... nums[right] [0, right] 是单调递增的，找到 最大 sub_max < ... | 2 | stack_v2_sparse_classes_30k_test_002632 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int: 思路： DP，超时
- def numSubarrayProductLessThanK_window(self, nums: List[int], k: int) -> int: 思路：滑动窗口 + 二分法 ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int: 思路： DP，超时
- def numSubarrayProductLessThanK_window(self, nums: List[int], k: int) -> int: 思路：滑动窗口 + 二分法 ... | 4994b8b19abcdbcc0bda2944350e325242fadfd1 | <|skeleton|>
class Solution:
def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int:
"""思路： DP，超时"""
<|body_0|>
def numSubarrayProductLessThanK_window(self, nums: List[int], k: int) -> int:
"""思路：滑动窗口 + 二分法 对于 每个 right， nums[left], nums[left + 1], nums[left +2] ... nu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def numSubarrayProductLessThanK_dp(self, nums: List[int], k: int) -> int:
"""思路： DP，超时"""
if not nums:
return 0
n, count = (len(nums), 0)
dp = [[1] * n for _ in range(n)]
for i in range(n - 1, -1, -1):
for j in range(i, n):
... | the_stack_v2_python_sparse | Week_04/numSubarrayProductLessThanK.py | NanZhang715/AlgorithmCHUNZHAO | train | 0 | |
bc4e8379c4714b82b0b04c2cec8eed23b0daf369 | [
"parameters = self.default\nparameters.update(kwargs)\ntry:\n parameters.update(self._from_settings(settings=project.settings))\nexcept AttributeError:\n pass\nif self.implementation:\n parameters.update(self._at_runtime(project=project))\nparameters.update(self.contents)\nif self.selected:\n self.conte... | <|body_start_0|>
parameters = self.default
parameters.update(kwargs)
try:
parameters.update(self._from_settings(settings=project.settings))
except AttributeError:
pass
if self.implementation:
parameters.update(self._at_runtime(project=project))... | Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus project, to create a unified set of implementation parameters. Parameters can be... | Parameters | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Parameters:
"""Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus project, to create a unified set of implem... | stack_v2_sparse_classes_75kplus_train_069862 | 43,953 | permissive | [
{
"docstring": "Combines and selects final parameters into 'contents'. Args: project (amicus.Project): instance from which implementation and settings parameters can be derived.",
"name": "finalize",
"signature": "def finalize(self, project: amicus.Project, **kwargs) -> None"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_051269 | Implement the Python class `Parameters` described below.
Class description:
Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus pro... | Implement the Python class `Parameters` described below.
Class description:
Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus pro... | 0de6d90c34b8402f4464dcba784349514b3b8e42 | <|skeleton|>
class Parameters:
"""Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus project, to create a unified set of implem... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Parameters:
"""Creates and stores parameters for a Component. The use of Parameters is entirely optional, but it provides a handy tool for aggregating data from an array of sources, including those which only become apparent during execution of an amicus project, to create a unified set of implementation para... | the_stack_v2_python_sparse | amicus/project/nodes.py | WithPrecedent/amicus | train | 1 |
344c8802e726c4f34c1b44a5ca96b12f859fb2cc | [
"match = {}\ngenerator = xml_root.iter()\nfor key in generator:\n if 'key' in key.tag and key_name in key.text:\n value_key = generator.next()\n value = ''\n for subkey in value_key.iter():\n if 'string' in subkey.tag:\n value = subkey.text\n match[key.text] ... | <|body_start_0|>
match = {}
generator = xml_root.iter()
for key in generator:
if 'key' in key.tag and key_name in key.text:
value_key = generator.next()
value = ''
for subkey in value_key.iter():
if 'string' in subke... | Class that defines the Mac OS X XML plist preprocess plugin object. | MacXMLPlistPreprocess | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MacXMLPlistPreprocess:
"""Class that defines the Mac OS X XML plist preprocess plugin object."""
def _GetKeys(self, xml_root, key_name):
"""Return a dict with the requested keys."""
<|body_0|>
def ParseFile(self, file_entry, file_object):
"""Parse the file and re... | stack_v2_sparse_classes_75kplus_train_069863 | 17,383 | permissive | [
{
"docstring": "Return a dict with the requested keys.",
"name": "_GetKeys",
"signature": "def _GetKeys(self, xml_root, key_name)"
},
{
"docstring": "Parse the file and return parsed key. Args: file_entry: The file entry (instance of dfvfs.FileEntry). file_object: The file-like object. Returns: ... | 2 | stack_v2_sparse_classes_30k_train_033468 | Implement the Python class `MacXMLPlistPreprocess` described below.
Class description:
Class that defines the Mac OS X XML plist preprocess plugin object.
Method signatures and docstrings:
- def _GetKeys(self, xml_root, key_name): Return a dict with the requested keys.
- def ParseFile(self, file_entry, file_object): ... | Implement the Python class `MacXMLPlistPreprocess` described below.
Class description:
Class that defines the Mac OS X XML plist preprocess plugin object.
Method signatures and docstrings:
- def _GetKeys(self, xml_root, key_name): Return a dict with the requested keys.
- def ParseFile(self, file_entry, file_object): ... | b4dc64b3a2d2906e8947824c493a2bc311d765c1 | <|skeleton|>
class MacXMLPlistPreprocess:
"""Class that defines the Mac OS X XML plist preprocess plugin object."""
def _GetKeys(self, xml_root, key_name):
"""Return a dict with the requested keys."""
<|body_0|>
def ParseFile(self, file_entry, file_object):
"""Parse the file and re... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MacXMLPlistPreprocess:
"""Class that defines the Mac OS X XML plist preprocess plugin object."""
def _GetKeys(self, xml_root, key_name):
"""Return a dict with the requested keys."""
match = {}
generator = xml_root.iter()
for key in generator:
if 'key' in key.ta... | the_stack_v2_python_sparse | plaso/preprocessors/interface.py | iwm911/plaso | train | 0 |
85dfd7318ed8eb3f68e1aad19c6fdd6f37e1e4f7 | [
"gm_track = gmusic.GMusicTrack(title='Zhao Hua', artist='HVAD & Pan Daijing')\nexpected = ['HVAD', 'Pan Daijing']\nactual = gmspotify.get_gm_track_artists(gm_track)\nself.assertEqual(actual, expected)",
"gm_track = gmusic.GMusicTrack(title='Stretch Deep (feat. Eve Essex)', artist='James K')\nexpected = ['Eve Esse... | <|body_start_0|>
gm_track = gmusic.GMusicTrack(title='Zhao Hua', artist='HVAD & Pan Daijing')
expected = ['HVAD', 'Pan Daijing']
actual = gmspotify.get_gm_track_artists(gm_track)
self.assertEqual(actual, expected)
<|end_body_0|>
<|body_start_1|>
gm_track = gmusic.GMusicTrack(tit... | TestGetGMTrackArtists | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestGetGMTrackArtists:
def test_get_gm_track_artists_ampersand(self):
"""Given a GM Track with an artist string containing multiple artists Should return a list of those artists"""
<|body_0|>
def test_get_gm_track_artists_ft_1(self):
"""Given a GM Track with a title ... | stack_v2_sparse_classes_75kplus_train_069864 | 9,283 | no_license | [
{
"docstring": "Given a GM Track with an artist string containing multiple artists Should return a list of those artists",
"name": "test_get_gm_track_artists_ampersand",
"signature": "def test_get_gm_track_artists_ampersand(self)"
},
{
"docstring": "Given a GM Track with a title featuring an art... | 3 | stack_v2_sparse_classes_30k_train_012881 | Implement the Python class `TestGetGMTrackArtists` described below.
Class description:
Implement the TestGetGMTrackArtists class.
Method signatures and docstrings:
- def test_get_gm_track_artists_ampersand(self): Given a GM Track with an artist string containing multiple artists Should return a list of those artists
... | Implement the Python class `TestGetGMTrackArtists` described below.
Class description:
Implement the TestGetGMTrackArtists class.
Method signatures and docstrings:
- def test_get_gm_track_artists_ampersand(self): Given a GM Track with an artist string containing multiple artists Should return a list of those artists
... | a29a9771ee1f03650b367b22d5a2bcbabc4d3990 | <|skeleton|>
class TestGetGMTrackArtists:
def test_get_gm_track_artists_ampersand(self):
"""Given a GM Track with an artist string containing multiple artists Should return a list of those artists"""
<|body_0|>
def test_get_gm_track_artists_ft_1(self):
"""Given a GM Track with a title ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestGetGMTrackArtists:
def test_get_gm_track_artists_ampersand(self):
"""Given a GM Track with an artist string containing multiple artists Should return a list of those artists"""
gm_track = gmusic.GMusicTrack(title='Zhao Hua', artist='HVAD & Pan Daijing')
expected = ['HVAD', 'Pan Dai... | the_stack_v2_python_sparse | test_gmspotify.py | jdheyburn/gmspotify | train | 0 | |
6dab96c3aa659f167a4e9ac7ed0a706235fab183 | [
"Parametre.__init__(self, 'liste', 'list')\nself.aide_courte = 'liste les bannisements'\nself.aide_longue = 'Cette commande liste les bannissements actuels, temporaires ou prolongés, de joueurs, comptes ou adresses.'",
"msg = 'Bannissements actuels :\\n'\ntemporaires = []\nmaintenant = datetime.now()\nfor joueur,... | <|body_start_0|>
Parametre.__init__(self, 'liste', 'list')
self.aide_courte = 'liste les bannisements'
self.aide_longue = 'Cette commande liste les bannissements actuels, temporaires ou prolongés, de joueurs, comptes ou adresses.'
<|end_body_0|>
<|body_start_1|>
msg = 'Bannissements act... | Commande 'bannir liste'. | PrmListe | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmListe:
"""Commande 'bannir liste'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
Parametre.__in... | stack_v2_sparse_classes_75kplus_train_069865 | 3,416 | permissive | [
{
"docstring": "Constructeur du paramètre",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Interprétation du paramètre",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035007 | Implement the Python class `PrmListe` described below.
Class description:
Commande 'bannir liste'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre | Implement the Python class `PrmListe` described below.
Class description:
Commande 'bannir liste'.
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre
- def interpreter(self, personnage, dic_masques): Interprétation du paramètre
<|skeleton|>
class PrmListe:
"""Commande 'bannir liste... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmListe:
"""Commande 'bannir liste'."""
def __init__(self):
"""Constructeur du paramètre"""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Interprétation du paramètre"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrmListe:
"""Commande 'bannir liste'."""
def __init__(self):
"""Constructeur du paramètre"""
Parametre.__init__(self, 'liste', 'list')
self.aide_courte = 'liste les bannisements'
self.aide_longue = 'Cette commande liste les bannissements actuels, temporaires ou prolongés, ... | the_stack_v2_python_sparse | src/primaires/joueur/commandes/bannir/liste.py | vincent-lg/tsunami | train | 5 |
7961ed9fccc54d98ae719f2fa5695615c3c71a09 | [
"if not nums:\n return None\nelse:\n maxnum = nums[0]\n for i in range(len(nums)):\n num = nums[i]\n if num > maxnum:\n maxnum = num\n for j in range(i + 1, len(nums)):\n num += nums[j]\n if num > maxnum:\n maxnum = num\n return maxnum... | <|body_start_0|>
if not nums:
return None
else:
maxnum = nums[0]
for i in range(len(nums)):
num = nums[i]
if num > maxnum:
maxnum = num
for j in range(i + 1, len(nums)):
num += num... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)"""
<|body_0|>
def maxSubArray1(self, nums):
""":type nums: List[int] :rtype: int 动态规划:status[n+1] = max(status[n],status[n] + nums[n+1]) 定义一个函数f(n)，以第n个数为结束点的子数列的最大和，存在一个递推关系f(... | stack_v2_sparse_classes_75kplus_train_069866 | 1,970 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)",
"name": "maxSubArray",
"signature": "def maxSubArray(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: int 动态规划:status[n+1] = max(status[n],status[n] + nums[n+1]) 定义一个函数f(n)，以第n个数为结束点的子数列的最大和，存在一个递推关系f(n) = max(f(n-1)... | 3 | stack_v2_sparse_classes_30k_train_035432 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums): :type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)
- def maxSubArray1(self, nums): :type nums: List[int] :rtype: int 动态规划:status[n+1] = max(status[n],s... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxSubArray(self, nums): :type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)
- def maxSubArray1(self, nums): :type nums: List[int] :rtype: int 动态规划:status[n+1] = max(status[n],s... | 2dc982e690b153c33bc7e27a63604f754a0df90c | <|skeleton|>
class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)"""
<|body_0|>
def maxSubArray1(self, nums):
""":type nums: List[int] :rtype: int 动态规划:status[n+1] = max(status[n],status[n] + nums[n+1]) 定义一个函数f(n)，以第n个数为结束点的子数列的最大和，存在一个递推关系f(... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxSubArray(self, nums):
""":type nums: List[int] :rtype: int 暴力划窗，复杂度O(n^2)"""
if not nums:
return None
else:
maxnum = nums[0]
for i in range(len(nums)):
num = nums[i]
if num > maxnum:
... | the_stack_v2_python_sparse | 53_maximum-subarray.py | 95275059/Algorithm | train | 0 | |
db5291bd94f5b45b7d05fbed6fdaac1a159b6e23 | [
"w, h = (len(board), len(board[0]))\nboard_p = np.zeros((w + 2, h + 2))\nboard_p[1:w + 1, 1:h + 1] = board\nfor i in range(1, w + 1):\n for j in range(1, h + 1):\n value = self.conv2d(board_p, i, j)\n if value > 3 or value < 2:\n board[i - 1][j - 1] = 0\n elif value == 3:\n ... | <|body_start_0|>
w, h = (len(board), len(board[0]))
board_p = np.zeros((w + 2, h + 2))
board_p[1:w + 1, 1:h + 1] = board
for i in range(1, w + 1):
for j in range(1, h + 1):
value = self.conv2d(board_p, i, j)
if value > 3 or value < 2:
... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def gameOfLife(self, board) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def conv2d(self, board_p, i, j):
"""convolution implemention :para board_p: board after 0 padding(np.array) i,j : loction :output value_convolution"... | stack_v2_sparse_classes_75kplus_train_069867 | 3,141 | permissive | [
{
"docstring": "Do not return anything, modify board in-place instead.",
"name": "gameOfLife",
"signature": "def gameOfLife(self, board) -> None"
},
{
"docstring": "convolution implemention :para board_p: board after 0 padding(np.array) i,j : loction :output value_convolution",
"name": "conv... | 2 | stack_v2_sparse_classes_30k_train_043904 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board) -> None: Do not return anything, modify board in-place instead.
- def conv2d(self, board_p, i, j): convolution implemention :para board_p: board after... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def gameOfLife(self, board) -> None: Do not return anything, modify board in-place instead.
- def conv2d(self, board_p, i, j): convolution implemention :para board_p: board after... | 91c8b09c278f5abb67e90f0096fc83bef975647b | <|skeleton|>
class Solution:
def gameOfLife(self, board) -> None:
"""Do not return anything, modify board in-place instead."""
<|body_0|>
def conv2d(self, board_p, i, j):
"""convolution implemention :para board_p: board after 0 padding(np.array) i,j : loction :output value_convolution"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def gameOfLife(self, board) -> None:
"""Do not return anything, modify board in-place instead."""
w, h = (len(board), len(board[0]))
board_p = np.zeros((w + 2, h + 2))
board_p[1:w + 1, 1:h + 1] = board
for i in range(1, w + 1):
for j in range(1, h ... | the_stack_v2_python_sparse | 289LifeGame/GameOfLife.py | Easonyesheng/CodePractice | train | 0 | |
2bc2f91c65f918e0cc9f711baf98910343997146 | [
"if not root:\n return 'None,'\nreturn '{},'.format(root.val) + self.serialize(root.left) + self.serialize(root.right)",
"def build_tree(data):\n if self.count >= len(data) or data[self.count] == 'None':\n self.count += 1\n return None\n node = TreeNode(int(data[self.count]))\n self.coun... | <|body_start_0|>
if not root:
return 'None,'
return '{},'.format(root.val) + self.serialize(root.left) + self.serialize(root.right)
<|end_body_0|>
<|body_start_1|>
def build_tree(data):
if self.count >= len(data) or data[self.count] == 'None':
self.count ... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_069868 | 1,226 | 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_035728 | 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:... | 9126c2089e41d4d7fd3a204115eba2b5074076ad | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return 'None,'
return '{},'.format(root.val) + self.serialize(root.left) + self.serialize(root.right)
def deserialize(self, data):
"""Decode... | the_stack_v2_python_sparse | 297_Serialize and Deserialize Binary Tree.py | Shwan-Yu/Data_Structures_and_Algorithms | train | 0 | |
6ccfe03da52e0d15562f21b0ece8015c65b58b88 | [
"self._ddt_sample, self._ddt_weights = (ddt_samples, ddt_weights)\nself._kappa_ext_mean, self._kappa_ext_sigma = (kappa_ext, kappa_ext_sigma)\nsuper(DdtKinConstraints, self).__init__(z_lens, z_source, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error, sigma_v, sigma_v_error_independent, sigma_v_error_c... | <|body_start_0|>
self._ddt_sample, self._ddt_weights = (ddt_samples, ddt_weights)
self._kappa_ext_mean, self._kappa_ext_sigma = (kappa_ext, kappa_ext_sigma)
super(DdtKinConstraints, self).__init__(z_lens, z_source, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error, sigma_v, sigma_v_... | class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt | DdtKinConstraints | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DdtKinConstraints:
"""class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt"""
def __init__(self, z_lens, z_source, ddt_samples, ddt_weights, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error, ... | stack_v2_sparse_classes_75kplus_train_069869 | 5,870 | permissive | [
{
"docstring": ":param z_lens: lens redshift :param z_source: source redshift :param ddt_samples: numpy array with a sample reflecting the likelihood density in Ddt given imaging data and time delays. :param ddt_weights: None or lenght of ddt_samples, weights of individual ddt_samples :param sigma_v: numpy arra... | 2 | stack_v2_sparse_classes_30k_val_001831 | Implement the Python class `DdtKinConstraints` described below.
Class description:
class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt
Method signatures and docstrings:
- def __init__(self, z_lens, z_source, ddt_samples, ddt_weigh... | Implement the Python class `DdtKinConstraints` described below.
Class description:
class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt
Method signatures and docstrings:
- def __init__(self, z_lens, z_source, ddt_samples, ddt_weigh... | 1dc2be90f44f99e82ab7014f2027fbb077b14f98 | <|skeleton|>
class DdtKinConstraints:
"""class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt"""
def __init__(self, z_lens, z_source, ddt_samples, ddt_weights, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DdtKinConstraints:
"""class for sampling Ds/Dds posteriors from imaging data and kinematic constraints with additional constraints on the time-delay distance Ddt"""
def __init__(self, z_lens, z_source, ddt_samples, ddt_weights, theta_E, theta_E_error, gamma, gamma_error, r_eff, r_eff_error, sigma_v, sigm... | the_stack_v2_python_sparse | hierarc/LensPosterior/ddt_kin_constraints.py | LBJ-Wade/hierarc_SGL | train | 0 |
bba765f632d586624cb3a7f9df1fb4dba3297e9b | [
"super(TempMediaMixin, self).setup_test_environment()\nself.__original_media_root = settings.MEDIA_ROOT\nself.__original_file_storage = settings.DEFAULT_FILE_STORAGE\nself.__temp_media = tempfile.mkdtemp()\nprint(\"Using temporary media root '{}'...\".format(self.__temp_media))\nsettings.MEDIA_ROOT = self.__temp_me... | <|body_start_0|>
super(TempMediaMixin, self).setup_test_environment()
self.__original_media_root = settings.MEDIA_ROOT
self.__original_file_storage = settings.DEFAULT_FILE_STORAGE
self.__temp_media = tempfile.mkdtemp()
print("Using temporary media root '{}'...".format(self.__temp... | Mixin to create MEDIA_ROOT in temp and tear down when complete. | TempMediaMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
<|body_0|>
def teardown_test_environment(self):
"""Delete temp storage."... | stack_v2_sparse_classes_75kplus_train_069870 | 1,412 | permissive | [
{
"docstring": "Create temp directory and update MEDIA_ROOT and default storage.",
"name": "setup_test_environment",
"signature": "def setup_test_environment(self)"
},
{
"docstring": "Delete temp storage.",
"name": "teardown_test_environment",
"signature": "def teardown_test_environment(... | 2 | stack_v2_sparse_classes_30k_train_046376 | Implement the Python class `TempMediaMixin` described below.
Class description:
Mixin to create MEDIA_ROOT in temp and tear down when complete.
Method signatures and docstrings:
- def setup_test_environment(self): Create temp directory and update MEDIA_ROOT and default storage.
- def teardown_test_environment(self): ... | Implement the Python class `TempMediaMixin` described below.
Class description:
Mixin to create MEDIA_ROOT in temp and tear down when complete.
Method signatures and docstrings:
- def setup_test_environment(self): Create temp directory and update MEDIA_ROOT and default storage.
- def teardown_test_environment(self): ... | 9baa530f2f3405322f74ccc145641148f253341b | <|skeleton|>
class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
<|body_0|>
def teardown_test_environment(self):
"""Delete temp storage."... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TempMediaMixin:
"""Mixin to create MEDIA_ROOT in temp and tear down when complete."""
def setup_test_environment(self):
"""Create temp directory and update MEDIA_ROOT and default storage."""
super(TempMediaMixin, self).setup_test_environment()
self.__original_media_root = settings... | the_stack_v2_python_sparse | palvelutori/testrunner.py | City-of-Turku/munpalvelut_backend | train | 0 |
ccf6961b45a4123f40407afc5fc110cc398a9c34 | [
"self.noise_dir = noise_dir\nself.clean_noise_ratio = clean_noise_ratio\nself.aug_noises = []\nself.load_noises()",
"noises = glob(os.path.join(self.noise_dir, '*.flac'))\nself.aug_noises = []\nfor file in noises:\n noise, _ = sf.read(file)\n self.aug_noises.append(noise)\n clean_sample = np.zeros_like(n... | <|body_start_0|>
self.noise_dir = noise_dir
self.clean_noise_ratio = clean_noise_ratio
self.aug_noises = []
self.load_noises()
<|end_body_0|>
<|body_start_1|>
noises = glob(os.path.join(self.noise_dir, '*.flac'))
self.aug_noises = []
for file in noises:
... | NoiseInjection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NoiseInjection:
def __init__(self, noise_dir, clean_noise_ratio=2):
"""define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contains the noise samples :param clean_noise_ratio: for each noisy sample add "clean_noise_ratio" times clean... | stack_v2_sparse_classes_75kplus_train_069871 | 1,871 | no_license | [
{
"docstring": "define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contains the noise samples :param clean_noise_ratio: for each noisy sample add \"clean_noise_ratio\" times clean samples, for example for 10 noisy samples and clean_noise_ratio == 2, aug_no... | 3 | null | Implement the Python class `NoiseInjection` described below.
Class description:
Implement the NoiseInjection class.
Method signatures and docstrings:
- def __init__(self, noise_dir, clean_noise_ratio=2): define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contain... | Implement the Python class `NoiseInjection` described below.
Class description:
Implement the NoiseInjection class.
Method signatures and docstrings:
- def __init__(self, noise_dir, clean_noise_ratio=2): define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contain... | bdae363d5f947ec2f07b468845026e6939c1671b | <|skeleton|>
class NoiseInjection:
def __init__(self, noise_dir, clean_noise_ratio=2):
"""define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contains the noise samples :param clean_noise_ratio: for each noisy sample add "clean_noise_ratio" times clean... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NoiseInjection:
def __init__(self, noise_dir, clean_noise_ratio=2):
"""define a list of clean and noisy samples used afterwards for augmentation :param noise_dir: directory that contains the noise samples :param clean_noise_ratio: for each noisy sample add "clean_noise_ratio" times clean samples, for ... | the_stack_v2_python_sparse | 07_master_thesis_unsupervised_learning/src/data/augmentation.py | atefattia/data_science | train | 1 | |
04b339378556ec03d12f3abf842d9fd4260abbce | [
"super(PublicationFileInlineForm, self).__init__(*args, **kwargs)\nentity = getattr(self, 'entity', None)\navailable_choices = list(self.AVAILABLE_CHOICES)\nif entity and hasattr(entity, 'content'):\n try:\n for block in entity.content.contentitems.filter(instance_of=BlockItem):\n available_cho... | <|body_start_0|>
super(PublicationFileInlineForm, self).__init__(*args, **kwargs)
entity = getattr(self, 'entity', None)
available_choices = list(self.AVAILABLE_CHOICES)
if entity and hasattr(entity, 'content'):
try:
for block in entity.content.contentitems.fi... | Определяет форму и поля загрузчика файлов в публикациях | PublicationFileInlineForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PublicationFileInlineForm:
"""Определяет форму и поля загрузчика файлов в публикациях"""
def __init__(self, *args, **kwargs):
"""Конструктор класса"""
<|body_0|>
def clean(self):
"""Словарь проверенных и нормализованных данных формы загрузки файлов в публикациях"... | stack_v2_sparse_classes_75kplus_train_069872 | 1,709 | permissive | [
{
"docstring": "Конструктор класса",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Словарь проверенных и нормализованных данных формы загрузки файлов в публикациях",
"name": "clean",
"signature": "def clean(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012761 | Implement the Python class `PublicationFileInlineForm` described below.
Class description:
Определяет форму и поля загрузчика файлов в публикациях
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Конструктор класса
- def clean(self): Словарь проверенных и нормализованных данных формы загрузки ... | Implement the Python class `PublicationFileInlineForm` described below.
Class description:
Определяет форму и поля загрузчика файлов в публикациях
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Конструктор класса
- def clean(self): Словарь проверенных и нормализованных данных формы загрузки ... | 186c783b4e4ed58199db7165703253cac1189c5a | <|skeleton|>
class PublicationFileInlineForm:
"""Определяет форму и поля загрузчика файлов в публикациях"""
def __init__(self, *args, **kwargs):
"""Конструктор класса"""
<|body_0|>
def clean(self):
"""Словарь проверенных и нормализованных данных формы загрузки файлов в публикациях"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PublicationFileInlineForm:
"""Определяет форму и поля загрузчика файлов в публикациях"""
def __init__(self, *args, **kwargs):
"""Конструктор класса"""
super(PublicationFileInlineForm, self).__init__(*args, **kwargs)
entity = getattr(self, 'entity', None)
available_choices ... | the_stack_v2_python_sparse | edw_fluent/admin/forms/file.py | infolabs/django-edw-fluent | train | 0 |
5777500799bbe37ab13f66dc6a19e8fcd6b8f654 | [
"cls.TheLock.acquire()\nif '%' not in var_format:\n var_format += '%d'\nif var_format not in cls.indexes:\n cls.indexes[var_format] = 0\ni = cls.indexes[var_format]\ncls.indexes[var_format] += 1\ncls.TheLock.release()\nif var_format[0] in ['$', '?'] or var_format[0].islower() or (not auto_prefix):\n return... | <|body_start_0|>
cls.TheLock.acquire()
if '%' not in var_format:
var_format += '%d'
if var_format not in cls.indexes:
cls.indexes[var_format] = 0
i = cls.indexes[var_format]
cls.indexes[var_format] += 1
cls.TheLock.release()
if var_format[0... | VarGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VarGenerator:
def create_var(cls, var_format, auto_prefix=True):
"""Restituisce una nuova variabile nel formato indicato"""
<|body_0|>
def factory(cls, var_format, auto_prefix=True):
"""Restituisce una funzione che ad ogni chiamata restituisce una nuova variabile nel... | stack_v2_sparse_classes_75kplus_train_069873 | 1,346 | no_license | [
{
"docstring": "Restituisce una nuova variabile nel formato indicato",
"name": "create_var",
"signature": "def create_var(cls, var_format, auto_prefix=True)"
},
{
"docstring": "Restituisce una funzione che ad ogni chiamata restituisce una nuova variabile nel formato indicato.",
"name": "fact... | 2 | null | Implement the Python class `VarGenerator` described below.
Class description:
Implement the VarGenerator class.
Method signatures and docstrings:
- def create_var(cls, var_format, auto_prefix=True): Restituisce una nuova variabile nel formato indicato
- def factory(cls, var_format, auto_prefix=True): Restituisce una ... | Implement the Python class `VarGenerator` described below.
Class description:
Implement the VarGenerator class.
Method signatures and docstrings:
- def create_var(cls, var_format, auto_prefix=True): Restituisce una nuova variabile nel formato indicato
- def factory(cls, var_format, auto_prefix=True): Restituisce una ... | 8a8f98c7cd271797ed490de35320fb190f2fd347 | <|skeleton|>
class VarGenerator:
def create_var(cls, var_format, auto_prefix=True):
"""Restituisce una nuova variabile nel formato indicato"""
<|body_0|>
def factory(cls, var_format, auto_prefix=True):
"""Restituisce una funzione che ad ogni chiamata restituisce una nuova variabile nel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VarGenerator:
def create_var(cls, var_format, auto_prefix=True):
"""Restituisce una nuova variabile nel formato indicato"""
cls.TheLock.acquire()
if '%' not in var_format:
var_format += '%d'
if var_format not in cls.indexes:
cls.indexes[var_format] = 0
... | the_stack_v2_python_sparse | xuse/util/vargenerator.py | BackupTheBerlios/bak4-svn | train | 0 | |
d30b5973fb258f9858e68a2ad6a579556e19d1a3 | [
"self.user1 = User.objects.create_user(username='testuser1', password='12345')\nself.user2 = User.objects.create_user(username='testuser2', password='23456')\nself.login = self.client.login(username='testuser1', password='12345')\ndata = {'PSCountry': 'UK'}\nresponse = self.client.post('/pscountries/', data, format... | <|body_start_0|>
self.user1 = User.objects.create_user(username='testuser1', password='12345')
self.user2 = User.objects.create_user(username='testuser2', password='23456')
self.login = self.client.login(username='testuser1', password='12345')
data = {'PSCountry': 'UK'}
response ... | BackEnd_LoggedIn_DifferentUser_Test | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackEnd_LoggedIn_DifferentUser_Test:
def setUp(self):
"""Within this class, create a user object, populate data, login as a different user and test permissions."""
<|body_0|>
def test_put_pscountry(self):
"""Test putting the country"""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus_train_069874 | 15,689 | no_license | [
{
"docstring": "Within this class, create a user object, populate data, login as a different user and test permissions.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test putting the country",
"name": "test_put_pscountry",
"signature": "def test_put_pscountry(self)... | 2 | null | Implement the Python class `BackEnd_LoggedIn_DifferentUser_Test` described below.
Class description:
Implement the BackEnd_LoggedIn_DifferentUser_Test class.
Method signatures and docstrings:
- def setUp(self): Within this class, create a user object, populate data, login as a different user and test permissions.
- d... | Implement the Python class `BackEnd_LoggedIn_DifferentUser_Test` described below.
Class description:
Implement the BackEnd_LoggedIn_DifferentUser_Test class.
Method signatures and docstrings:
- def setUp(self): Within this class, create a user object, populate data, login as a different user and test permissions.
- d... | 531679fb217eeb31dddce212f192f0dc05de3e3f | <|skeleton|>
class BackEnd_LoggedIn_DifferentUser_Test:
def setUp(self):
"""Within this class, create a user object, populate data, login as a different user and test permissions."""
<|body_0|>
def test_put_pscountry(self):
"""Test putting the country"""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BackEnd_LoggedIn_DifferentUser_Test:
def setUp(self):
"""Within this class, create a user object, populate data, login as a different user and test permissions."""
self.user1 = User.objects.create_user(username='testuser1', password='12345')
self.user2 = User.objects.create_user(userna... | the_stack_v2_python_sparse | 5_RestBrokerData/apps/backend/tests.py | MarkyMark1000/AWS_Django_MultiProject | train | 0 | |
7f5fa07dfdf47d370aabd0df0809d47e09be453a | [
"q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if not r]\nfor i, j in q:\n for row_index, col_index in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)):\n if 0 <= row_index < len(rooms) and 0 <= col_index < len(rooms[0]) and (rooms[row_index][col_index] > 2 ** 30):\n roo... | <|body_start_0|>
q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if not r]
for i, j in q:
for row_index, col_index in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)):
if 0 <= row_index < len(rooms) and 0 <= col_index < len(rooms[0]) and (rooms[row_index... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def wallsAndGates(self, rooms):
""":type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%"""
<|body_0|>
def wallsAndGates1(self, rooms):
"... | stack_v2_sparse_classes_75kplus_train_069875 | 1,565 | no_license | [
{
"docstring": ":type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%",
"name": "wallsAndGates",
"signature": "def wallsAndGates(self, rooms)"
},
{
"docstring": ":type rooms: L... | 2 | stack_v2_sparse_classes_30k_train_041377 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wallsAndGates(self, rooms): :type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and rep... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def wallsAndGates(self, rooms): :type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and rep... | 7e0e917c15d3e35f49da3a00ef395bd5ff180d79 | <|skeleton|>
class Solution:
def wallsAndGates(self, rooms):
""":type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%"""
<|body_0|>
def wallsAndGates1(self, rooms):
"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def wallsAndGates(self, rooms):
""":type rooms: List[List[int]] :rtype: void Do not return anything, modify rooms in-place instead. BFS (start from gate who is r in the code and represented as 0) beats 78.90%"""
q = [(i, j) for i, row in enumerate(rooms) for j, r in enumerate(row) if... | the_stack_v2_python_sparse | LeetCode/286_walls_and_gates.py | yao23/Machine_Learning_Playground | train | 12 | |
23b05c29e736b822f673b1dd5246ae11126df428 | [
"context = {}\ncontext['form'] = ClientForm()\nreturn render(self.request, self.template_name, context)",
"form = ClientForm(self.request.POST, self.request.FILES, company=self.request.user.company)\nif form.is_valid():\n client = form.save(commit=False)\n client.owner = self.request.user\n client.compan... | <|body_start_0|>
context = {}
context['form'] = ClientForm()
return render(self.request, self.template_name, context)
<|end_body_0|>
<|body_start_1|>
form = ClientForm(self.request.POST, self.request.FILES, company=self.request.user.company)
if form.is_valid():
clien... | Viewing for adding client | ClientAddView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClientAddView:
"""Viewing for adding client"""
def get(self, *args, **kwargs):
"""Display the client form"""
<|body_0|>
def post(self, *args, **kwargs):
"""Getting the filled form of client"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
context... | stack_v2_sparse_classes_75kplus_train_069876 | 4,241 | no_license | [
{
"docstring": "Display the client form",
"name": "get",
"signature": "def get(self, *args, **kwargs)"
},
{
"docstring": "Getting the filled form of client",
"name": "post",
"signature": "def post(self, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_050070 | Implement the Python class `ClientAddView` described below.
Class description:
Viewing for adding client
Method signatures and docstrings:
- def get(self, *args, **kwargs): Display the client form
- def post(self, *args, **kwargs): Getting the filled form of client | Implement the Python class `ClientAddView` described below.
Class description:
Viewing for adding client
Method signatures and docstrings:
- def get(self, *args, **kwargs): Display the client form
- def post(self, *args, **kwargs): Getting the filled form of client
<|skeleton|>
class ClientAddView:
"""Viewing fo... | 17615ea9bfb1edebe41d60dbf2e977f0018d5339 | <|skeleton|>
class ClientAddView:
"""Viewing for adding client"""
def get(self, *args, **kwargs):
"""Display the client form"""
<|body_0|>
def post(self, *args, **kwargs):
"""Getting the filled form of client"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ClientAddView:
"""Viewing for adding client"""
def get(self, *args, **kwargs):
"""Display the client form"""
context = {}
context['form'] = ClientForm()
return render(self.request, self.template_name, context)
def post(self, *args, **kwargs):
"""Getting the fi... | the_stack_v2_python_sparse | clients/views.py | Swiftkind/invoice | train | 0 |
bbb9048bb49bdfe6f3268a2a740a83d72c9a0315 | [
"self.player = player\nself.matchPile = matchPile\nscreen = HitPileScreen(player, matchPile)\nConsoleController.__init__(self, screen, cancellable=True, commands={'1': self.tryToHitPile, '2': self.tryToHitPile, '3': self.tryToHitPile, '4': self.tryToHitPile, '5': self.tryToHitPile, '6': self.tryToHitPile, '7': self... | <|body_start_0|>
self.player = player
self.matchPile = matchPile
screen = HitPileScreen(player, matchPile)
ConsoleController.__init__(self, screen, cancellable=True, commands={'1': self.tryToHitPile, '2': self.tryToHitPile, '3': self.tryToHitPile, '4': self.tryToHitPile, '5': self.tryToH... | Controller for letting the player actually try to hit a match pile | HitPileController | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HitPileController:
"""Controller for letting the player actually try to hit a match pile"""
def __init__(self, player, matchPile):
"""Initialize the Controller"""
<|body_0|>
def tryToHitPile(self, event):
"""Try To Hit the pile with the card denoted by the event"... | stack_v2_sparse_classes_75kplus_train_069877 | 2,076 | no_license | [
{
"docstring": "Initialize the Controller",
"name": "__init__",
"signature": "def __init__(self, player, matchPile)"
},
{
"docstring": "Try To Hit the pile with the card denoted by the event",
"name": "tryToHitPile",
"signature": "def tryToHitPile(self, event)"
}
] | 2 | null | Implement the Python class `HitPileController` described below.
Class description:
Controller for letting the player actually try to hit a match pile
Method signatures and docstrings:
- def __init__(self, player, matchPile): Initialize the Controller
- def tryToHitPile(self, event): Try To Hit the pile with the card ... | Implement the Python class `HitPileController` described below.
Class description:
Controller for letting the player actually try to hit a match pile
Method signatures and docstrings:
- def __init__(self, player, matchPile): Initialize the Controller
- def tryToHitPile(self, event): Try To Hit the pile with the card ... | c46f2e7809b4ffc6443b279ee86edb4a0ac99a09 | <|skeleton|>
class HitPileController:
"""Controller for letting the player actually try to hit a match pile"""
def __init__(self, player, matchPile):
"""Initialize the Controller"""
<|body_0|>
def tryToHitPile(self, event):
"""Try To Hit the pile with the card denoted by the event"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HitPileController:
"""Controller for letting the player actually try to hit a match pile"""
def __init__(self, player, matchPile):
"""Initialize the Controller"""
self.player = player
self.matchPile = matchPile
screen = HitPileScreen(player, matchPile)
ConsoleContr... | the_stack_v2_python_sparse | src/View/Console/Game/Player/hit_pile_controller.py | cloew/KaoPhaseTen | train | 0 |
b9d915645b851fcd8035486f5f9c356ac8d6a9f1 | [
"try:\n physical_devices = tf.config.list_physical_devices('GPU')\n tf.config.experimental.set_memory_growth(physical_devices[0], True)\nexcept:\n pass\nsuper(DenseLayer, self).__init__()\nif param_init == 'autograder':\n np.random.seed(137)\n param_init = dict(W=None, b=None)\n param_init['W'] = ... | <|body_start_0|>
try:
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], True)
except:
pass
super(DenseLayer, self).__init__()
if param_init == 'autograder':
np.random.see... | Implement a dense layer | DenseLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DenseLayer:
"""Implement a dense layer"""
def __init__(self, input_dim, output_dim, activation='relu', reg_weight=1e-05, param_init=None):
"""Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matrix and bias term are initialized in the `build` function.... | stack_v2_sparse_classes_75kplus_train_069878 | 11,511 | permissive | [
{
"docstring": "Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matrix and bias term are initialized in the `build` function. Here let's use the simple form. https://www.tensorflow.org/guide/keras/custom_layers_and_models args: input_dim: integer, the dimension of the input laye... | 2 | stack_v2_sparse_classes_30k_train_037852 | Implement the Python class `DenseLayer` described below.
Class description:
Implement a dense layer
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, activation='relu', reg_weight=1e-05, param_init=None): Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matr... | Implement the Python class `DenseLayer` described below.
Class description:
Implement a dense layer
Method signatures and docstrings:
- def __init__(self, input_dim, output_dim, activation='relu', reg_weight=1e-05, param_init=None): Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matr... | 59f48c0c3e7d746fb9b24daa8b9e62eacade4ee2 | <|skeleton|>
class DenseLayer:
"""Implement a dense layer"""
def __init__(self, input_dim, output_dim, activation='relu', reg_weight=1e-05, param_init=None):
"""Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matrix and bias term are initialized in the `build` function.... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DenseLayer:
"""Implement a dense layer"""
def __init__(self, input_dim, output_dim, activation='relu', reg_weight=1e-05, param_init=None):
"""Initialize weights of the DenseLayer. In Tensorflow's implementation, the weight matrix and bias term are initialized in the `build` function. Here let's u... | the_stack_v2_python_sparse | HW2/implementation.py | mcdermatt/dnn | train | 4 |
f18fc0fbfc739ef67c3daa42b6e9a54af8169401 | [
"self._facility = facility\nself._option = option\nself._priority = priority",
"title = kwargs.get(ATTR_TITLE, ATTR_TITLE_DEFAULT)\nsyslog.openlog(title, self._option, self._facility)\nsyslog.syslog(self._priority, message)\nsyslog.closelog()"
] | <|body_start_0|>
self._facility = facility
self._option = option
self._priority = priority
<|end_body_0|>
<|body_start_1|>
title = kwargs.get(ATTR_TITLE, ATTR_TITLE_DEFAULT)
syslog.openlog(title, self._option, self._facility)
syslog.syslog(self._priority, message)
... | Implement the syslog notification service. | SyslogNotificationService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SyslogNotificationService:
"""Implement the syslog notification service."""
def __init__(self, facility, option, priority):
"""Initialize the service."""
<|body_0|>
def send_message(self, message='', **kwargs):
"""Send a message to syslog."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_069879 | 2,640 | permissive | [
{
"docstring": "Initialize the service.",
"name": "__init__",
"signature": "def __init__(self, facility, option, priority)"
},
{
"docstring": "Send a message to syslog.",
"name": "send_message",
"signature": "def send_message(self, message='', **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001554 | Implement the Python class `SyslogNotificationService` described below.
Class description:
Implement the syslog notification service.
Method signatures and docstrings:
- def __init__(self, facility, option, priority): Initialize the service.
- def send_message(self, message='', **kwargs): Send a message to syslog. | Implement the Python class `SyslogNotificationService` described below.
Class description:
Implement the syslog notification service.
Method signatures and docstrings:
- def __init__(self, facility, option, priority): Initialize the service.
- def send_message(self, message='', **kwargs): Send a message to syslog.
<... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class SyslogNotificationService:
"""Implement the syslog notification service."""
def __init__(self, facility, option, priority):
"""Initialize the service."""
<|body_0|>
def send_message(self, message='', **kwargs):
"""Send a message to syslog."""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SyslogNotificationService:
"""Implement the syslog notification service."""
def __init__(self, facility, option, priority):
"""Initialize the service."""
self._facility = facility
self._option = option
self._priority = priority
def send_message(self, message='', **kwa... | the_stack_v2_python_sparse | homeassistant/components/syslog/notify.py | home-assistant/core | train | 35,501 |
d84bd57e7fa0398b7d9e5527445e0f30c6951980 | [
"if item in self:\n return super(_LoadedConfigs, self).__getitem__(item)\naddon = item.replace('_config', '')\nif addon in ValidAddons.all:\n import_path = 'gungame51.scripts.%s.%s.%s' % (ValidAddons.get_addon_type(addon), addon, item)\nelif _base_configs.joinpath(item + '.py').isfile():\n import_path = 'g... | <|body_start_0|>
if item in self:
return super(_LoadedConfigs, self).__getitem__(item)
addon = item.replace('_config', '')
if addon in ValidAddons.all:
import_path = 'gungame51.scripts.%s.%s.%s' % (ValidAddons.get_addon_type(addon), addon, item)
elif _base_configs... | Class used to store loaded config files | _LoadedConfigs | [
"Artistic-1.0",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _LoadedConfigs:
"""Class used to store loaded config files"""
def __getitem__(self, item):
"""Verify that the given item is a config file instance and store it"""
<|body_0|>
def clear(self):
"""Unloads all configs within the dicionary"""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus_train_069880 | 2,849 | permissive | [
{
"docstring": "Verify that the given item is a config file instance and store it",
"name": "__getitem__",
"signature": "def __getitem__(self, item)"
},
{
"docstring": "Unloads all configs within the dicionary",
"name": "clear",
"signature": "def clear(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_002217 | Implement the Python class `_LoadedConfigs` described below.
Class description:
Class used to store loaded config files
Method signatures and docstrings:
- def __getitem__(self, item): Verify that the given item is a config file instance and store it
- def clear(self): Unloads all configs within the dicionary | Implement the Python class `_LoadedConfigs` described below.
Class description:
Class used to store loaded config files
Method signatures and docstrings:
- def __getitem__(self, item): Verify that the given item is a config file instance and store it
- def clear(self): Unloads all configs within the dicionary
<|skel... | ebf4624626266f552189a32612b8d09cd5b4c5a3 | <|skeleton|>
class _LoadedConfigs:
"""Class used to store loaded config files"""
def __getitem__(self, item):
"""Verify that the given item is a config file instance and store it"""
<|body_0|>
def clear(self):
"""Unloads all configs within the dicionary"""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _LoadedConfigs:
"""Class used to store loaded config files"""
def __getitem__(self, item):
"""Verify that the given item is a config file instance and store it"""
if item in self:
return super(_LoadedConfigs, self).__getitem__(item)
addon = item.replace('_config', '')
... | the_stack_v2_python_sparse | cstrike/addons/eventscripts/gungame51/core/cfg/loaded.py | GunGame-Dev-Team/GunGame51 | train | 0 |
e6cccf92aaef0b704c9ea27d8f9dc7047e422668 | [
"try:\n return get_all_companies()\nexcept Exception as e:\n api.abort(500)",
"data = request.json\ntry:\n return save_new_company(data=data)\nexcept EonError as e:\n if e.code and e.message:\n api.abort(e.code, e.message)\n else:\n api.abort(500)"
] | <|body_start_0|>
try:
return get_all_companies()
except Exception as e:
api.abort(500)
<|end_body_0|>
<|body_start_1|>
data = request.json
try:
return save_new_company(data=data)
except EonError as e:
if e.code and e.message:
... | CompanyList | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CompanyList:
def get(self):
"""Returns companies, known by this node, in a list"""
<|body_0|>
def post(self):
"""Register a new Company"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
return get_all_companies()
except Except... | stack_v2_sparse_classes_75kplus_train_069881 | 3,399 | permissive | [
{
"docstring": "Returns companies, known by this node, in a list",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "Register a new Company",
"name": "post",
"signature": "def post(self)"
}
] | 2 | null | Implement the Python class `CompanyList` described below.
Class description:
Implement the CompanyList class.
Method signatures and docstrings:
- def get(self): Returns companies, known by this node, in a list
- def post(self): Register a new Company | Implement the Python class `CompanyList` described below.
Class description:
Implement the CompanyList class.
Method signatures and docstrings:
- def get(self): Returns companies, known by this node, in a list
- def post(self): Register a new Company
<|skeleton|>
class CompanyList:
def get(self):
"""Ret... | bc7f1cb0ef640662a04f0040603fde092cabe336 | <|skeleton|>
class CompanyList:
def get(self):
"""Returns companies, known by this node, in a list"""
<|body_0|>
def post(self):
"""Register a new Company"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CompanyList:
def get(self):
"""Returns companies, known by this node, in a list"""
try:
return get_all_companies()
except Exception as e:
api.abort(500)
def post(self):
"""Register a new Company"""
data = request.json
try:
... | the_stack_v2_python_sparse | app/main/controller/company_controller.py | OdysseyMomentum/Cryptomice-Eonpeers | train | 0 | |
b55e14f3e6964f3000eed58ed95c45e527f88b4b | [
"self.exampleInterface = ExampleInterface(dataRemote=False)\nself.wsRemoteService = WsRemoteService(args, webSocketChannelName)\nself.wsRemoteService.addHandlerClass(ExampleInterface, self.exampleInterface)",
"self.recvThread = threading.Thread(name='recvThread', target=self.wsRemoteService.runForever)\nself.recv... | <|body_start_0|>
self.exampleInterface = ExampleInterface(dataRemote=False)
self.wsRemoteService = WsRemoteService(args, webSocketChannelName)
self.wsRemoteService.addHandlerClass(ExampleInterface, self.exampleInterface)
<|end_body_0|>
<|body_start_1|>
self.recvThread = threading.Thread... | ExampleService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExampleService:
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote projectServer. Instantiates a local version of ExampleInterface to handle client requests coming from the... | stack_v2_sparse_classes_75kplus_train_069882 | 2,550 | permissive | [
{
"docstring": "Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote projectServer. Instantiates a local version of ExampleInterface to handle client requests coming from the projectServer connection. Args: args: Argparse args related to connecting to the re... | 2 | null | Implement the Python class `ExampleService` described below.
Class description:
Implement the ExampleService class.
Method signatures and docstrings:
- def __init__(self, args, webSocketChannelName='wsData'): Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote pr... | Implement the Python class `ExampleService` described below.
Class description:
Implement the ExampleService class.
Method signatures and docstrings:
- def __init__(self, args, webSocketChannelName='wsData'): Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote pr... | 3eb181152e173d5e8e5e46c2d2faeab25f11f564 | <|skeleton|>
class ExampleService:
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote projectServer. Instantiates a local version of ExampleInterface to handle client requests coming from the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExampleService:
def __init__(self, args, webSocketChannelName='wsData'):
"""Uses the WsRemoteService framework to parse connection-related args and establish a connection to a remote projectServer. Instantiates a local version of ExampleInterface to handle client requests coming from the projectServer... | the_stack_v2_python_sparse | rtCommon/exampleService.py | brainiak/rt-cloud | train | 13 | |
65623fc1d01f2c92a9b19569a22ea0f8d36900bb | [
"if obj:\n return int(obj * 100)\nreturn None",
"if obj.budget:\n return obj.budget / 100.0\nreturn None",
"if obj.current_costs:\n return obj.current_costs / 100.0\nreturn None"
] | <|body_start_0|>
if obj:
return int(obj * 100)
return None
<|end_body_0|>
<|body_start_1|>
if obj.budget:
return obj.budget / 100.0
return None
<|end_body_1|>
<|body_start_2|>
if obj.current_costs:
return obj.current_costs / 100.0
ret... | Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required. | MoneyConverter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MoneyConverter:
"""Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required."""
def to_cent(self, obj: Optiona... | stack_v2_sparse_classes_75kplus_train_069883 | 9,084 | permissive | [
{
"docstring": "Convert an amount in euro to cent.",
"name": "to_cent",
"signature": "def to_cent(self, obj: Optional[float]) -> Optional[int]"
},
{
"docstring": "Convert the 'budget' from cent to euro.",
"name": "to_euro_budget",
"signature": "def to_euro_budget(self, obj: Job) -> Optio... | 3 | stack_v2_sparse_classes_30k_train_034422 | Implement the Python class `MoneyConverter` described below.
Class description:
Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required.... | Implement the Python class `MoneyConverter` described below.
Class description:
Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required.... | 822dbd3ccee25180cc48efd2f891504b6b5edc14 | <|skeleton|>
class MoneyConverter:
"""Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required."""
def to_cent(self, obj: Optiona... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MoneyConverter:
"""Convert between euro and cent. Used to convert different fields when serializing and deserializing. As different parameters are passed depending on whether a VALUE is deserialized or an OBJECT is deserialized different method are required."""
def to_cent(self, obj: Optional[float]) -> ... | the_stack_v2_python_sparse | services/jobs/jobs/schema.py | Open-EO/openeo-eodc-driver | train | 3 |
7948e7fe10a3184e3e9f68a3f7c45ac8e1fb4a89 | [
"self.discriminator_filters = discriminator_filters\nself.discriminator_strides = discriminator_strides\nself.generator_filters = generator_filters\nself.generator_strides = generator_strides\nself.discriminator_strides = discriminator_strides\nself.relu_leakiness = relu_leakiness\nself.generator_activation = gener... | <|body_start_0|>
self.discriminator_filters = discriminator_filters
self.discriminator_strides = discriminator_strides
self.generator_filters = generator_filters
self.generator_strides = generator_strides
self.discriminator_strides = discriminator_strides
self.relu_leakin... | Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units. | DCGAN | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DCGAN:
"""Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units."""
def __init__(self, discriminator_filters=(64, 128, 256, 512), generator_filters=(512, 256, 128, 64, 1), discriminator_strides=((1, 1, 1), (2, 2, 2), (1, 1, 1)... | stack_v2_sparse_classes_75kplus_train_069884 | 7,336 | permissive | [
{
"docstring": "Deep Convolutional Generative Adversarial Network Parameters ---------- discriminator_filters : list or tuple list of filters used for the discriminator generator_filters : list or tuple list of filters used for the generator discriminator_strides : list or tuple list of strides used for the dis... | 2 | null | Implement the Python class `DCGAN` described below.
Class description:
Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units.
Method signatures and docstrings:
- def __init__(self, discriminator_filters=(64, 128, 256, 512), generator_filters=(512, 256,... | Implement the Python class `DCGAN` described below.
Class description:
Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units.
Method signatures and docstrings:
- def __init__(self, discriminator_filters=(64, 128, 256, 512), generator_filters=(512, 256,... | 80d1a04dc163590aa44b62688b06aece78fb7fd6 | <|skeleton|>
class DCGAN:
"""Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units."""
def __init__(self, discriminator_filters=(64, 128, 256, 512), generator_filters=(512, 256, 128, 64, 1), discriminator_strides=((1, 1, 1), (2, 2, 2), (1, 1, 1)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DCGAN:
"""Convolutional Autoencoder This module builds a convolutional autoencoder with varying number of layers and hidden units."""
def __init__(self, discriminator_filters=(64, 128, 256, 512), generator_filters=(512, 256, 128, 64, 1), discriminator_strides=((1, 1, 1), (2, 2, 2), (1, 1, 1), (2, 2, 2)),... | the_stack_v2_python_sparse | dltk/models/gan/dcgan.py | pawni/DLTK-1 | train | 1 |
86f2c9a8fc1027670fc2e6c453ac470ec411bfef | [
"client = switch_to_mobile(REQUIRED_MOBILES[category])\nclient.connect_mobile()\nif reset:\n current_mobile().reset_app()\nreturn client",
"client = switch_to_mobile(REQUIRED_MOBILES[category])\nclient.connect_mobile()\nif reset:\n current_mobile().reset_app()\nreturn client",
"one_key = OneKeyLoginPage()... | <|body_start_0|>
client = switch_to_mobile(REQUIRED_MOBILES[category])
client.connect_mobile()
if reset:
current_mobile().reset_app()
return client
<|end_body_0|>
<|body_start_1|>
client = switch_to_mobile(REQUIRED_MOBILES[category])
client.connect_mobile()
... | 登录前置条件 | LoginPreconditions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LoginPreconditions:
"""登录前置条件"""
def select_mobile(category, reset=False):
"""选择手机"""
<|body_0|>
def switch_mobile(category, reset=False):
"""选择手机"""
<|body_1|>
def make_already_in_one_key_login_page():
"""已经进入一键登录页"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus_train_069885 | 4,505 | no_license | [
{
"docstring": "选择手机",
"name": "select_mobile",
"signature": "def select_mobile(category, reset=False)"
},
{
"docstring": "选择手机",
"name": "switch_mobile",
"signature": "def switch_mobile(category, reset=False)"
},
{
"docstring": "已经进入一键登录页",
"name": "make_already_in_one_key_l... | 5 | stack_v2_sparse_classes_30k_train_051127 | Implement the Python class `LoginPreconditions` described below.
Class description:
登录前置条件
Method signatures and docstrings:
- def select_mobile(category, reset=False): 选择手机
- def switch_mobile(category, reset=False): 选择手机
- def make_already_in_one_key_login_page(): 已经进入一键登录页
- def login_by_one_key_login(): 从一键登录页面登录... | Implement the Python class `LoginPreconditions` described below.
Class description:
登录前置条件
Method signatures and docstrings:
- def select_mobile(category, reset=False): 选择手机
- def switch_mobile(category, reset=False): 选择手机
- def make_already_in_one_key_login_page(): 已经进入一键登录页
- def login_by_one_key_login(): 从一键登录页面登录... | f59cdef1bb458f661773268494694f30899331e6 | <|skeleton|>
class LoginPreconditions:
"""登录前置条件"""
def select_mobile(category, reset=False):
"""选择手机"""
<|body_0|>
def switch_mobile(category, reset=False):
"""选择手机"""
<|body_1|>
def make_already_in_one_key_login_page():
"""已经进入一键登录页"""
<|body_2|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LoginPreconditions:
"""登录前置条件"""
def select_mobile(category, reset=False):
"""选择手机"""
client = switch_to_mobile(REQUIRED_MOBILES[category])
client.connect_mobile()
if reset:
current_mobile().reset_app()
return client
def switch_mobile(category, res... | the_stack_v2_python_sparse | preconditions/BasePreconditions.py | wangquansheng/appium-Demo | train | 4 |
d8bea5461dd2a957e6be73adf6963a987dee95c5 | [
"for child in self.children:\n if isinstance(child, VersionedExtraWhere) and (not child.params):\n _query = qn.query\n query_time = _query.querytime.time\n apply_query_time = _query.querytime.active\n alias_map = _query.alias_map\n self._set_child_joined_alias(child, alias_map)... | <|body_start_0|>
for child in self.children:
if isinstance(child, VersionedExtraWhere) and (not child.params):
_query = qn.query
query_time = _query.querytime.time
apply_query_time = _query.querytime.active
alias_map = _query.alias_map
... | VersionedWhereNode | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionedWhereNode:
def as_sql(self, qn, connection):
"""This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions for those tables based on the VersionedQuery's querytime value. :param qn: In Django 1.7 & 1.8 this is a comp... | stack_v2_sparse_classes_75kplus_train_069886 | 16,300 | permissive | [
{
"docstring": "This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions for those tables based on the VersionedQuery's querytime value. :param qn: In Django 1.7 & 1.8 this is a compiler; in 1.6, it's an instance-method :param connection: A DB con... | 3 | stack_v2_sparse_classes_30k_train_049781 | Implement the Python class `VersionedWhereNode` described below.
Class description:
Implement the VersionedWhereNode class.
Method signatures and docstrings:
- def as_sql(self, qn, connection): This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions fo... | Implement the Python class `VersionedWhereNode` described below.
Class description:
Implement the VersionedWhereNode class.
Method signatures and docstrings:
- def as_sql(self, qn, connection): This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions fo... | 72d17580b901acdffd6b11b1dbb430a01fe7c02c | <|skeleton|>
class VersionedWhereNode:
def as_sql(self, qn, connection):
"""This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions for those tables based on the VersionedQuery's querytime value. :param qn: In Django 1.7 & 1.8 this is a comp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VersionedWhereNode:
def as_sql(self, qn, connection):
"""This method identifies joined table aliases in order for VersionedExtraWhere.as_sql() to be able to add time restrictions for those tables based on the VersionedQuery's querytime value. :param qn: In Django 1.7 & 1.8 this is a compiler; in 1.6, ... | the_stack_v2_python_sparse | versions/fields.py | JoshLabs/cleanerversion | train | 1 | |
e8c0f085fa39f3b9d575fc02beae6805f67482f1 | [
"self.bar = None\nself.last_bar = None\nself.upperBar = None\nself.aimFreq = aimFreq\nself.onUpperBar = onUpperBar\nif self.aimFreq.endswith('min'):\n self.type = 'min'\n self.type_num = int(''.join((x for x in self.aimFreq if x.isdigit())))\nelif self.aimFreq.endswith('day'):\n self.type = 'day'\n self... | <|body_start_0|>
self.bar = None
self.last_bar = None
self.upperBar = None
self.aimFreq = aimFreq
self.onUpperBar = onUpperBar
if self.aimFreq.endswith('min'):
self.type = 'min'
self.type_num = int(''.join((x for x in self.aimFreq if x.isdigit())))... | K线合成器，支持：n分钟K线合成Xn分钟K线 | BarManager | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BarManager:
"""K线合成器，支持：n分钟K线合成Xn分钟K线"""
def __init__(self, aimFreq='1day', onUpperBar=None):
"""构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:"5min","30min","1hour","1day","1week","1month"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被调用)"""
<|body_0|>
def updateBar(self, bar):
... | stack_v2_sparse_classes_75kplus_train_069887 | 15,423 | permissive | [
{
"docstring": "构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:\"5min\",\"30min\",\"1hour\",\"1day\",\"1week\",\"1month\"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被调用)",
"name": "__init__",
"signature": "def __init__(self, aimFreq='1day', onUpperBar=None)"
},
{
"docstring": "x1分钟K线更新",
"name": "up... | 2 | stack_v2_sparse_classes_30k_train_030626 | Implement the Python class `BarManager` described below.
Class description:
K线合成器，支持：n分钟K线合成Xn分钟K线
Method signatures and docstrings:
- def __init__(self, aimFreq='1day', onUpperBar=None): 构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:"5min","30min","1hour","1day","1week","1month"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被... | Implement the Python class `BarManager` described below.
Class description:
K线合成器，支持：n分钟K线合成Xn分钟K线
Method signatures and docstrings:
- def __init__(self, aimFreq='1day', onUpperBar=None): 构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:"5min","30min","1hour","1day","1week","1month"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被... | 7543c7ed5bae70b5b87342d9317517a12444b673 | <|skeleton|>
class BarManager:
"""K线合成器，支持：n分钟K线合成Xn分钟K线"""
def __init__(self, aimFreq='1day', onUpperBar=None):
"""构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:"5min","30min","1hour","1day","1week","1month"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被调用)"""
<|body_0|>
def updateBar(self, bar):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BarManager:
"""K线合成器，支持：n分钟K线合成Xn分钟K线"""
def __init__(self, aimFreq='1day', onUpperBar=None):
"""构造器, 输入的参数有: (1) aimFreq: 要合成的K线周期, 包括:"5min","30min","1hour","1day","1week","1month"等 (2) onUpperBar: 大级别K线的推送函数(在策略中定义好, 在这个实例中被调用)"""
self.bar = None
self.last_bar = None
se... | the_stack_v2_python_sparse | backtest/object.py | dxcv/vnpyStockEngine | train | 0 |
6a505393b08982f1b59fcd653d1bad95c616619c | [
"body = {'gremlin': query, 'bindings': {}, 'language': 'gremlin-groovy', 'aliases': {'graph': '%s' % _cfg.graph_name, 'g': '__g_%s' % _cfg.graph_name}}\nurl = '/gremlin'\ncode, res = Request(host=host, port=port, protocol=protocol, auth=auth).request(method='post', path=url, json=body)\nreturn (code, res)",
"body... | <|body_start_0|>
body = {'gremlin': query, 'bindings': {}, 'language': 'gremlin-groovy', 'aliases': {'graph': '%s' % _cfg.graph_name, 'g': '__g_%s' % _cfg.graph_name}}
url = '/gremlin'
code, res = Request(host=host, port=port, protocol=protocol, auth=auth).request(method='post', path=url, json=b... | gremlin 接口 | Gremlin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Gremlin:
"""gremlin 接口"""
def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None):
"""同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:"""
<|body_0|>
def gremlin_job(self, query, auth=None):
"""异步的gr... | stack_v2_sparse_classes_75kplus_train_069888 | 37,941 | no_license | [
{
"docstring": "同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:",
"name": "gremlin_post",
"signature": "def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None)"
},
{
"docstring": "异步的gremlin查询 :param auth: :param query: :return:",... | 3 | null | Implement the Python class `Gremlin` described below.
Class description:
gremlin 接口
Method signatures and docstrings:
- def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None): 同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:
- def gremlin_job(self, que... | Implement the Python class `Gremlin` described below.
Class description:
gremlin 接口
Method signatures and docstrings:
- def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None): 同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:
- def gremlin_job(self, que... | 89e5b34ab925bcc0bbc4ad63302e96c62a420399 | <|skeleton|>
class Gremlin:
"""gremlin 接口"""
def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None):
"""同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:"""
<|body_0|>
def gremlin_job(self, query, auth=None):
"""异步的gr... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Gremlin:
"""gremlin 接口"""
def gremlin_post(self, query, host=None, port=None, protocol=None, auth=None):
"""同步的gremlin查询 :param protocol: :param port: :param host: :param auth: :param query: :return:"""
body = {'gremlin': query, 'bindings': {}, 'language': 'gremlin-groovy', 'aliases': {'g... | the_stack_v2_python_sparse | src/common/server_api.py | hugegraph/hugegraph-test | train | 1 |
d0002796ecd2f66bcbc062445a12bc7099d327b4 | [
"time_elements_structure = self._GetValueFromStructure(structure, 'date_time')\nbody = self._GetValueFromStructure(structure, 'body')\nreporter = self._GetValueFromStructure(structure, 'reporter')\nevent_data = None\nif reporter == 'CRON':\n event_data = self._ParseCronMessageBody(body)\nelif reporter == 'sshd':... | <|body_start_0|>
time_elements_structure = self._GetValueFromStructure(structure, 'date_time')
body = self._GetValueFromStructure(structure, 'body')
reporter = self._GetValueFromStructure(structure, 'reporter')
event_data = None
if reporter == 'CRON':
event_data = sel... | Text parser plugin for traditional syslog log files. | TraditionalSyslogTextPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TraditionalSyslogTextPlugin:
"""Text parser plugin for traditional syslog log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such a... | stack_v2_sparse_classes_75kplus_train_069889 | 25,619 | permissive | [
{
"docstring": "Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and dfVFS. key (str): name of the parsed structure. structure (pyparsing.ParseResults): tokens from a parsed log line. Raises: ParseError: if the stru... | 3 | null | Implement the Python class `TraditionalSyslogTextPlugin` described below.
Class description:
Text parser plugin for traditional syslog log files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, key, structure): Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates ... | Implement the Python class `TraditionalSyslogTextPlugin` described below.
Class description:
Text parser plugin for traditional syslog log files.
Method signatures and docstrings:
- def _ParseRecord(self, parser_mediator, key, structure): Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates ... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class TraditionalSyslogTextPlugin:
"""Text parser plugin for traditional syslog log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TraditionalSyslogTextPlugin:
"""Text parser plugin for traditional syslog log files."""
def _ParseRecord(self, parser_mediator, key, structure):
"""Parses a pyparsing structure. Args: parser_mediator (ParserMediator): mediates interactions between parsers and other components, such as storage and... | the_stack_v2_python_sparse | plaso/parsers/text_plugins/syslog.py | log2timeline/plaso | train | 1,506 |
849b955d175ef3c1c1cdae1d0ba1368d9fb09f41 | [
"script = cls()\nif check_signature(signature):\n script.type = 'P2PK'\n script.content = script.serialize('<' + signature + '>')\nreturn script",
"script = cls()\nif check_signature(signature) and check_public_key(pk):\n script.type = 'P2PKH'\n script.content = script.serialize('<' + signature + '> <... | <|body_start_0|>
script = cls()
if check_signature(signature):
script.type = 'P2PK'
script.content = script.serialize('<' + signature + '>')
return script
<|end_body_0|>
<|body_start_1|>
script = cls()
if check_signature(signature) and check_public_key(pk... | Defines an InputScript (ScriptSig) class that inherits from script. | InputScript | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InputScript:
"""Defines an InputScript (ScriptSig) class that inherits from script."""
def P2PK(cls, signature):
"""Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Transaction signature. :type signature: hex str :return: A P2P... | stack_v2_sparse_classes_75kplus_train_069890 | 10,836 | permissive | [
{
"docstring": "Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Transaction signature. :type signature: hex str :return: A P2PK sScriptSig built using the given signature. :rtype: hex str",
"name": "P2PK",
"signature": "def P2PK(cls, signature)"
... | 4 | stack_v2_sparse_classes_30k_train_039500 | Implement the Python class `InputScript` described below.
Class description:
Defines an InputScript (ScriptSig) class that inherits from script.
Method signatures and docstrings:
- def P2PK(cls, signature): Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Trans... | Implement the Python class `InputScript` described below.
Class description:
Defines an InputScript (ScriptSig) class that inherits from script.
Method signatures and docstrings:
- def P2PK(cls, signature): Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Trans... | 624663f2a9619ecf53715e8bf39404b5c035a9f2 | <|skeleton|>
class InputScript:
"""Defines an InputScript (ScriptSig) class that inherits from script."""
def P2PK(cls, signature):
"""Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Transaction signature. :type signature: hex str :return: A P2P... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InputScript:
"""Defines an InputScript (ScriptSig) class that inherits from script."""
def P2PK(cls, signature):
"""Pay-to-PubKey template 'constructor'. Builds a P2PK InputScript from a given signature. :param signature: Transaction signature. :type signature: hex str :return: A P2PK sScriptSig ... | the_stack_v2_python_sparse | bitcoin_tools/core/script.py | beiex/bitcoin_tools | train | 0 |
9b958cd56d45f5aef82d63c7cc91211c5a9d090a | [
"timestamp = self._GetRowValue(query_hash, row, value_name)\nif timestamp is None:\n return None\nreturn dfdatetime_java_time.JavaTime(timestamp=timestamp)",
"query_hash = hash(query)\nevent_data = AndroidWebViewCacheEventData()\nevent_data.content_length = self._GetRowValue(query_hash, row, 'contentlength')\n... | <|body_start_0|>
timestamp = self._GetRowValue(query_hash, row, value_name)
if timestamp is None:
return None
return dfdatetime_java_time.JavaTime(timestamp=timestamp)
<|end_body_0|>
<|body_start_1|>
query_hash = hash(query)
event_data = AndroidWebViewCacheEventData(... | SQLite parser plugin for Android WebviewCache database files. | AndroidWebViewCachePlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AndroidWebViewCachePlugin:
"""SQLite parser plugin for Android WebviewCache database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query t... | stack_v2_sparse_classes_75kplus_train_069891 | 3,520 | permissive | [
{
"docstring": "Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that produced the row. row (sqlite3.Row): row. value_name (str): name of the value. Returns: dfdatetime.JavaTime: date and time value or None if not available.",
"name"... | 2 | null | Implement the Python class `AndroidWebViewCachePlugin` described below.
Class description:
SQLite parser plugin for Android WebviewCache database files.
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a date and time value from the row. Args: query_hash (int)... | Implement the Python class `AndroidWebViewCachePlugin` described below.
Class description:
SQLite parser plugin for Android WebviewCache database files.
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a date and time value from the row. Args: query_hash (int)... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class AndroidWebViewCachePlugin:
"""SQLite parser plugin for Android WebviewCache database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AndroidWebViewCachePlugin:
"""SQLite parser plugin for Android WebviewCache database files."""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that produced ... | the_stack_v2_python_sparse | plaso/parsers/sqlite_plugins/android_webviewcache.py | log2timeline/plaso | train | 1,506 |
3f89dae91c71a98247aaf3fc00979abbfdd6931c | [
"input_doc = xml.dom.minidom.parse(filename)\npoint = point.process(input_doc.getElementsByTagName('Parameters')[0])\nrequests = self._handleRequests(input_doc.getElementsByTagName('Requests')[0])\nreturn (point, requests)",
"requests = {}\nfor child in node.childNodes:\n if child.nodeType == node.ELEMENT_NODE... | <|body_start_0|>
input_doc = xml.dom.minidom.parse(filename)
point = point.process(input_doc.getElementsByTagName('Parameters')[0])
requests = self._handleRequests(input_doc.getElementsByTagName('Requests')[0])
return (point, requests)
<|end_body_0|>
<|body_start_1|>
requests = ... | The reader/writer for the COLIN XML IO Formats | ColinXmlIO | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ColinXmlIO:
"""The reader/writer for the COLIN XML IO Formats"""
def read(self, filename, point):
"""Read a point and request information. This method returns a tuple: point, requests"""
<|body_0|>
def _handleRequests(self, node):
"""A function that processes the... | stack_v2_sparse_classes_75kplus_train_069892 | 2,928 | permissive | [
{
"docstring": "Read a point and request information. This method returns a tuple: point, requests",
"name": "read",
"signature": "def read(self, filename, point)"
},
{
"docstring": "A function that processes the requests",
"name": "_handleRequests",
"signature": "def _handleRequests(sel... | 4 | stack_v2_sparse_classes_30k_train_052264 | Implement the Python class `ColinXmlIO` described below.
Class description:
The reader/writer for the COLIN XML IO Formats
Method signatures and docstrings:
- def read(self, filename, point): Read a point and request information. This method returns a tuple: point, requests
- def _handleRequests(self, node): A functi... | Implement the Python class `ColinXmlIO` described below.
Class description:
The reader/writer for the COLIN XML IO Formats
Method signatures and docstrings:
- def read(self, filename, point): Read a point and request information. This method returns a tuple: point, requests
- def _handleRequests(self, node): A functi... | ab4ada5a93aed570a6e6ca6161462e970cffe677 | <|skeleton|>
class ColinXmlIO:
"""The reader/writer for the COLIN XML IO Formats"""
def read(self, filename, point):
"""Read a point and request information. This method returns a tuple: point, requests"""
<|body_0|>
def _handleRequests(self, node):
"""A function that processes the... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ColinXmlIO:
"""The reader/writer for the COLIN XML IO Formats"""
def read(self, filename, point):
"""Read a point and request information. This method returns a tuple: point, requests"""
input_doc = xml.dom.minidom.parse(filename)
point = point.process(input_doc.getElementsByTagNa... | the_stack_v2_python_sparse | pyomo/opt/plugins/colin_xml_io.py | qtothec/pyomo | train | 3 |
e5df29c7af9c2c37732937ae4c1d4158f7a6872f | [
"self.id = id\nself.name = name\nself.extra = extra\nself.created = to_datetime_utc(created)\nself.modified = to_datetime_utc(modified)\nself.organisation = fetch_db_object(Organisation, organisation)\nself.telescope_type = fetch_db_object(TelescopeType, telescope_type)",
"if name is not None:\n self.name = na... | <|body_start_0|>
self.id = id
self.name = name
self.extra = extra
self.created = to_datetime_utc(created)
self.modified = to_datetime_utc(modified)
self.organisation = fetch_db_object(Organisation, organisation)
self.telescope_type = fetch_db_object(TelescopeType,... | Telescope | [
"MIT",
"BSD-2-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Telescope:
def __init__(self, id: int=None, name: str=None, extra: Dict=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None, organisation: Union[Organisation, Dict]=None, telescope_type: Union[TelescopeType, Dict]=None):
"""Construct a Telescope object. :param id: uni... | stack_v2_sparse_classes_75kplus_train_069893 | 12,117 | permissive | [
{
"docstring": "Construct a Telescope object. :param id: unique id. :param name: the telescope name. :param extra: additional metadata for a telescope, stored as JSON. :param created: datetime created in UTC. :param modified: datetime modified in UTC. :param organisation: the organisation associated with this t... | 2 | stack_v2_sparse_classes_30k_test_003013 | Implement the Python class `Telescope` described below.
Class description:
Implement the Telescope class.
Method signatures and docstrings:
- def __init__(self, id: int=None, name: str=None, extra: Dict=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None, organisation: Union[Organisation, Dict]=No... | Implement the Python class `Telescope` described below.
Class description:
Implement the Telescope class.
Method signatures and docstrings:
- def __init__(self, id: int=None, name: str=None, extra: Dict=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None, organisation: Union[Organisation, Dict]=No... | 64b62cba83110fea60e91506dff4a83ba9931ba9 | <|skeleton|>
class Telescope:
def __init__(self, id: int=None, name: str=None, extra: Dict=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None, organisation: Union[Organisation, Dict]=None, telescope_type: Union[TelescopeType, Dict]=None):
"""Construct a Telescope object. :param id: uni... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Telescope:
def __init__(self, id: int=None, name: str=None, extra: Dict=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None, organisation: Union[Organisation, Dict]=None, telescope_type: Union[TelescopeType, Dict]=None):
"""Construct a Telescope object. :param id: unique id. :param... | the_stack_v2_python_sparse | observatory-api/observatory/api/server/orm.py | kieranroberts/observatory-platform | train | 0 | |
6989e11b02f4b45798613b9cc8cded5612a701e0 | [
"user = context.pop('user')\ncontext['username'] = user.get_username()\nsend_multi_alternatives_mail.send(subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None)",
"email = self.cleaned_data['email']\nfor user in self.get_users(email):\n if not domain_override:... | <|body_start_0|>
user = context.pop('user')
context['username'] = user.get_username()
send_multi_alternatives_mail.send(subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None)
<|end_body_0|>
<|body_start_1|>
email = self.cleaned_data['em... | UMPasswordResetForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UMPasswordResetForm:
def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None):
"""Function sending password reset email using Dramatiq"""
<|body_0|>
def save(self, domain_override=None, subject_template_nam... | stack_v2_sparse_classes_75kplus_train_069894 | 5,961 | no_license | [
{
"docstring": "Function sending password reset email using Dramatiq",
"name": "send_mail",
"signature": "def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None)"
},
{
"docstring": "Generate a one-use only link for resetting p... | 2 | stack_v2_sparse_classes_30k_train_021967 | Implement the Python class `UMPasswordResetForm` described below.
Class description:
Implement the UMPasswordResetForm class.
Method signatures and docstrings:
- def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None): Function sending password res... | Implement the Python class `UMPasswordResetForm` described below.
Class description:
Implement the UMPasswordResetForm class.
Method signatures and docstrings:
- def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None): Function sending password res... | 3046b7717e8e685e9afded1bc9c1cc64aefaf776 | <|skeleton|>
class UMPasswordResetForm:
def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None):
"""Function sending password reset email using Dramatiq"""
<|body_0|>
def save(self, domain_override=None, subject_template_nam... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UMPasswordResetForm:
def send_mail(self, subject_template_name, email_template_name, context, from_email, to_email, html_email_template_name=None):
"""Function sending password reset email using Dramatiq"""
user = context.pop('user')
context['username'] = user.get_username()
se... | the_stack_v2_python_sparse | project/apps/user_management/forms.py | geosolutions-it/djam | train | 0 | |
e444343316310e0fb8ecfd6b1da217ddfb952b3d | [
"n = len(nums)\na = [num + i for i, num in enumerate(nums)]\nb = [num - i for i, num in enumerate(nums)]\nmax_score = 0\nmax_b = b[-1]\nfor i in reversed(range(n - 1)):\n max_score = max(max_score, a[i] + max_b)\n max_b = max(max_b, b[i])\nreturn max_score",
"n = len(nums)\nmax_score = 0\nmax_b = nums[-1] -... | <|body_start_0|>
n = len(nums)
a = [num + i for i, num in enumerate(nums)]
b = [num - i for i, num in enumerate(nums)]
max_score = 0
max_b = b[-1]
for i in reversed(range(n - 1)):
max_score = max(max_score, a[i] + max_b)
max_b = max(max_b, b[i])
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxScoreSightseeingPair_1(self, nums: List[int]) -> int:
"""We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C[i] = A[i] + indices Then maximize B[i] + C[i]: * scan from right to left, keeping the highest C[... | stack_v2_sparse_classes_75kplus_train_069895 | 1,762 | no_license | [
{
"docstring": "We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C[i] = A[i] + indices Then maximize B[i] + C[i]: * scan from right to left, keeping the highest C[i] Time complexity: O(N) Space complexity: O(N) Beats 30% (596 ms)",
"name": "... | 2 | stack_v2_sparse_classes_30k_train_006884 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxScoreSightseeingPair_1(self, nums: List[int]) -> int: We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxScoreSightseeingPair_1(self, nums: List[int]) -> int: We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C... | 3ffcfee5cedf421d5de6d0dec4ba53b0eecbbff8 | <|skeleton|>
class Solution:
def maxScoreSightseeingPair_1(self, nums: List[int]) -> int:
"""We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C[i] = A[i] + indices Then maximize B[i] + C[i]: * scan from right to left, keeping the highest C[... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def maxScoreSightseeingPair_1(self, nums: List[int]) -> int:
"""We want to maximize A[i] + A[j] + i - j with i < j Group the terms and derive two arrays: * B[i] = A[i] - indices * C[i] = A[i] + indices Then maximize B[i] + C[i]: * scan from right to left, keeping the highest C[i] Time comple... | the_stack_v2_python_sparse | arrays/BestSightSeeingPair_Interesting.py | QuentinDuval/PythonExperiments | train | 3 | |
9ddeb37a4416a7cd3e266d097289605b14b22cc5 | [
"self.verts = np.array(x)\nself.faces = np.array(f)\nself.dims = dims\nself.vert_normals = self.calc_all_n()\nself.quad_n = self.calc_all_quad_n()\nself.quad_hs = self.calc_all_quad_hs()\nself.surf_area = self.calc_surf_area()\nself.centroid = self.calc_mesh_centroid()\nself.center_mesh()\nself.mom_inertia = self.c... | <|body_start_0|>
self.verts = np.array(x)
self.faces = np.array(f)
self.dims = dims
self.vert_normals = self.calc_all_n()
self.quad_n = self.calc_all_quad_n()
self.quad_hs = self.calc_all_quad_hs()
self.surf_area = self.calc_surf_area()
self.centroid = sel... | Quad_Geo_Mesh_NV | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Quad_Geo_Mesh_NV:
def __init__(self, dims, x, f):
"""Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensions (3,) x : verts in list-like object (Nv, 3) f : list-like with indices to verts of a triangle expectin... | stack_v2_sparse_classes_75kplus_train_069896 | 3,552 | no_license | [
{
"docstring": "Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensions (3,) x : verts in list-like object (Nv, 3) f : list-like with indices to verts of a triangle expecting 6 node curved triangles (Nf, 6) Indicies 0, 1, 2 should be ... | 5 | stack_v2_sparse_classes_30k_train_015203 | Implement the Python class `Quad_Geo_Mesh_NV` described below.
Class description:
Implement the Quad_Geo_Mesh_NV class.
Method signatures and docstrings:
- def __init__(self, dims, x, f): Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensi... | Implement the Python class `Quad_Geo_Mesh_NV` described below.
Class description:
Implement the Quad_Geo_Mesh_NV class.
Method signatures and docstrings:
- def __init__(self, dims, x, f): Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensi... | 36e424aa72d2e28ed61ea89e48d19e6b605e4578 | <|skeleton|>
class Quad_Geo_Mesh_NV:
def __init__(self, dims, x, f):
"""Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensions (3,) x : verts in list-like object (Nv, 3) f : list-like with indices to verts of a triangle expectin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Quad_Geo_Mesh_NV:
def __init__(self, dims, x, f):
"""Constructor for the simple_mesh object. Face numbers must be equivalent to potential mesh's. Parameters: dims: ellipsoidal dimensions (3,) x : verts in list-like object (Nv, 3) f : list-like with indices to verts of a triangle expecting 6 node curve... | the_stack_v2_python_sparse | rigid_DL/quad_geo_mesh_NV.py | CharlieL7/rigid_DL | train | 0 | |
fb0160eee3cdaf072a390a80cbebc6c22b58847e | [
"cls.require_notfound(path)\nNEW_SCRIPT_TEMPLATE = '\"\"\"%s\"\"\"\\n# Keep __doc__ to a single line\\nfrom pyClanSphere.upgrades.versions import *\\n\\n# use this or define your own if you need\\nmetadata = db.MetaData()\\n\\n# Define tables here\\n\\n\\n# Define the objects here\\n\\n\\ndef map_tables(mapper):\\n... | <|body_start_0|>
cls.require_notfound(path)
NEW_SCRIPT_TEMPLATE = '"""%s"""\n# Keep __doc__ to a single line\nfrom pyClanSphere.upgrades.versions import *\n\n# use this or define your own if you need\nmetadata = db.MetaData()\n\n# Define tables here\n\n\n# Define the objects here\n\n\ndef map_tables(map... | PythonScript | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PythonScript:
def create(cls, path, **opts):
"""Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`"""
<|body_0|>
def run(self, engine, step):
"""Core method of Script file. Exectues ... | stack_v2_sparse_classes_75kplus_train_069897 | 8,942 | permissive | [
{
"docstring": "Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`",
"name": "create",
"signature": "def create(cls, path, **opts)"
},
{
"docstring": "Core method of Script file. Exectues :func:`update` or :func... | 2 | stack_v2_sparse_classes_30k_train_034654 | Implement the Python class `PythonScript` described below.
Class description:
Implement the PythonScript class.
Method signatures and docstrings:
- def create(cls, path, **opts): Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`
- d... | Implement the Python class `PythonScript` described below.
Class description:
Implement the PythonScript class.
Method signatures and docstrings:
- def create(cls, path, **opts): Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`
- d... | 03904b3de4ae2043c0ff2a68a50c5f916896b68d | <|skeleton|>
class PythonScript:
def create(cls, path, **opts):
"""Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`"""
<|body_0|>
def run(self, engine, step):
"""Core method of Script file. Exectues ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PythonScript:
def create(cls, path, **opts):
"""Create an empty migration script at specified path :returns: :class:`PythonScript instance <migrate.versioning.script.py.PythonScript>`"""
cls.require_notfound(path)
NEW_SCRIPT_TEMPLATE = '"""%s"""\n# Keep __doc__ to a single line\nfrom p... | the_stack_v2_python_sparse | pyClanSphere/upgrades/customisation.py | jokey2k/pyClanSphere | train | 1 | |
2cb8b71027f3f5bad9a042acbd68ae0fdd57480c | [
"left = A[p:q + 1]\nright = A[q + 1:r + 1]\ni = 0\nj = 0\nk = p\nassert sorted(left)\nassert sorted(right)\nwhile i < len(left) and j < len(right):\n if left[i] < right[j]:\n A[k] = left[i]\n k += 1\n i += 1\n else:\n A[k] = right[j]\n j += 1\n k += 1\nwhile i < len(l... | <|body_start_0|>
left = A[p:q + 1]
right = A[q + 1:r + 1]
i = 0
j = 0
k = p
assert sorted(left)
assert sorted(right)
while i < len(left) and j < len(right):
if left[i] < right[j]:
A[k] = left[i]
k += 1
... | MergeSort | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MergeSort:
def merge(self, A, p, q, r):
"""Function to Merge and sort the sub arrays"""
<|body_0|>
def sort(self, A, p, r):
"""Function to Divide the input Array into equal sub-arrays"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
left = A[p:q + 1]... | stack_v2_sparse_classes_75kplus_train_069898 | 1,363 | permissive | [
{
"docstring": "Function to Merge and sort the sub arrays",
"name": "merge",
"signature": "def merge(self, A, p, q, r)"
},
{
"docstring": "Function to Divide the input Array into equal sub-arrays",
"name": "sort",
"signature": "def sort(self, A, p, r)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007120 | Implement the Python class `MergeSort` described below.
Class description:
Implement the MergeSort class.
Method signatures and docstrings:
- def merge(self, A, p, q, r): Function to Merge and sort the sub arrays
- def sort(self, A, p, r): Function to Divide the input Array into equal sub-arrays | Implement the Python class `MergeSort` described below.
Class description:
Implement the MergeSort class.
Method signatures and docstrings:
- def merge(self, A, p, q, r): Function to Merge and sort the sub arrays
- def sort(self, A, p, r): Function to Divide the input Array into equal sub-arrays
<|skeleton|>
class M... | a30008a7fa8ba15ee241bd7fc5df94cd68c80003 | <|skeleton|>
class MergeSort:
def merge(self, A, p, q, r):
"""Function to Merge and sort the sub arrays"""
<|body_0|>
def sort(self, A, p, r):
"""Function to Divide the input Array into equal sub-arrays"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MergeSort:
def merge(self, A, p, q, r):
"""Function to Merge and sort the sub arrays"""
left = A[p:q + 1]
right = A[q + 1:r + 1]
i = 0
j = 0
k = p
assert sorted(left)
assert sorted(right)
while i < len(left) and j < len(right):
... | the_stack_v2_python_sparse | MergeSort.py | vinayakasg18/algorithms | train | 0 | |
c45da8cbd584501b3d1207dda365be2780d620b6 | [
"for ops, ress in self.knownOps:\n act = actions.parseline(ops, 0)\n self.assertEqual(str(act), ress)\n self.assertEqual(str(actions.parseline(ress, 0)), ress)",
"act = actions.parseline('a: reject : log : faillog abc', 0)\nself.assertEqual(act['reject'], 1)\nself.assertEqual(act['log'], '')\nself.assert... | <|body_start_0|>
for ops, ress in self.knownOps:
act = actions.parseline(ops, 0)
self.assertEqual(str(act), ress)
self.assertEqual(str(actions.parseline(ress, 0)), ress)
<|end_body_0|>
<|body_start_1|>
act = actions.parseline('a: reject : log : faillog abc', 0)
... | basicTests | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class basicTests:
def testActionOperators(self):
"""Test that parseline recognizes and reproduces all of our operators."""
<|body_0|>
def testDictAccess(self):
"""Test that action objects can be accessed like dictionaries."""
<|body_1|>
def testFromfile(self):... | stack_v2_sparse_classes_75kplus_train_069899 | 21,863 | no_license | [
{
"docstring": "Test that parseline recognizes and reproduces all of our operators.",
"name": "testActionOperators",
"signature": "def testActionOperators(self)"
},
{
"docstring": "Test that action objects can be accessed like dictionaries.",
"name": "testDictAccess",
"signature": "def t... | 4 | stack_v2_sparse_classes_30k_train_045229 | Implement the Python class `basicTests` described below.
Class description:
Implement the basicTests class.
Method signatures and docstrings:
- def testActionOperators(self): Test that parseline recognizes and reproduces all of our operators.
- def testDictAccess(self): Test that action objects can be accessed like d... | Implement the Python class `basicTests` described below.
Class description:
Implement the basicTests class.
Method signatures and docstrings:
- def testActionOperators(self): Test that parseline recognizes and reproduces all of our operators.
- def testDictAccess(self): Test that action objects can be accessed like d... | 41341606e831a42ba36f8e64640e98f098bf0489 | <|skeleton|>
class basicTests:
def testActionOperators(self):
"""Test that parseline recognizes and reproduces all of our operators."""
<|body_0|>
def testDictAccess(self):
"""Test that action objects can be accessed like dictionaries."""
<|body_1|>
def testFromfile(self):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class basicTests:
def testActionOperators(self):
"""Test that parseline recognizes and reproduces all of our operators."""
for ops, ress in self.knownOps:
act = actions.parseline(ops, 0)
self.assertEqual(str(act), ress)
self.assertEqual(str(actions.parseline(ress,... | the_stack_v2_python_sparse | test_actions.py | siebenmann/portnanny | train | 2 |
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